What we did so far
Number of complaints we received are
and Number of
complaints we solved are
Description about us
India is a quickly developing nation at similar pace issues that are likewise rising. So as to determine these issues and to improve India here is a stage that straightforwardly e-interfaces Individuals and the organization to illuminate the basic issues. This is my little improvement as a person to manufacture a superior India.
Type Of Complaints/Requests We Accept
Examples
- Complaint should be regarding the social issue not the personal issue.
- Path holes on road,no public toilet within 2 miles,street light does not work,need water supply,problems with water supply,Garbage collection in streets,Drainage problems etc...
Not acceptable complaints are:
- Theft happened some place,need some immediate assistance to help with,security for women,crime complaints,road rage fights.


Cryptocurrency Series
Introduction
B-Money, an early proposal by Wei Dai for an anonymous, distributed electronic cash system was referred by Satoshi Nakamoto for creating Bitcoin, the current cryptocurrency giant.
In the referred post, the author identified existing operational problems in an online community named Crypto-Anarchy. Crypto-Anarchy is explained as an online community where participants are identified with psuedonyms which are in no way associated with their true names or physical locations. Because of this seperation of true identity from community identity, the possibility of voilence is rendered impotent. Together these make the role of government permanently forbidden and unnecessary in such a community.
A community is defined by cooperation of its participants, and an efficient cooperation requires a medium of exchange (money) and a way to enforce contracts.
While traditionally these services were provided by the government or government sponsored institutions, it was not clear theoretically how to implement a similar system among decentralized nodes without using a trusted central authority.
Author proposed two different protocols which can solve these issues, first one is very similar to the current proof-of-work protocol and second is similar to proof-of-stake protocol.
Author poses that the implementation of the first system is impractical, because it makes heavy use of synchronous and unjammable anonymous broadcast channel.
Existence of untraceable network is assumed, where senders and receivers are identified only by their digital psuedonyms (i.e. public keys) and every message is signed by its sender and encrypted to its receiver.
First Protocol
- Analogous to proof-of-work.
- A seperate database is maintained by every participant with details of how much money belongs to which pseudonym.
- The individual databases collectively define the ownership of the money. The accounts are update subject to the rules in this protocol listed below.
- The creation of money: Money is created by broadcasting the solution to a previously unsolved computational problem. Such solutions must be easy to determine how much computing effort it took to solve the problem and must not otherwise have any practical or intellectual value (similar to nonce in a proof of work). Upon broadcasting the solution and verifying it, everyone credits the amount to solver’s psuedonym, equivalent to the amount of units it would take to buy the electricity utilized by the most economical computer to solve the problem.
- The transfer of money: If owner of psuedonym pk_A (public key of A) sends X units of money to owner of psuedonym pk_B (public key of B), they have to broadcast a message signed with their public key. On receiving this broadcast, all the participants would debit amount X from psuedonym pk_A and credit it to psuedonym pk_B, unless this creates a negative balance in pk_A’s account in which case the broadcasted transaction is ignored.
- The effecting of contracts: A valid contract binds a maximum reperation for each participating party in case of default. It also specifies a third party who will do the arbitration in case any dispute arises. In order for the contract to be effective, all the participating parties and the arbitrator must broadcast their public keys (i.e. psuedonyms). Upon the broadcast of contract and all the associated signatures, every participant debits the account of each party by the amount of his maximum reperation and credits a special account identified by secure has of the contract by the sum of the maximum reperations. The contract is a success if the debits succeed for every party without any negative balances, failing which the contract is ignored and the accounts are rolled back.
- The conclusion of contracts: If the contract concludes without any dispute, each party must broadcast a message stating the same, following which each participant credits the accounts of each party by the amount of their maximum reperation, removes the contract account, then credits or debits the account of each party according to the reparation schedule if there is one.
- The enforcement of contract: In case of dispute, which cannot be sorted by the arbitrator, each party broadcasts a suggested reparation/ fine schedule and arguments or evidence in his favor. Each participant makes a determination as to the actual reparations and/or fines, and modifies his accounts accordingly.
Second Protocol
- Similar to proof-of-stake.
- The accounts of every psuedonym is maintained by a subset of the participants (called servers) instead of everyone as in the previous protocol. Servers are connected (using Usenet-style broadcast channel).
- Format of broadcasted transaction is same as first protocol, but affected participant of each transaction should verify the changes on a randomly selected subset of the servers.
- In order to bring a degree of trust in the servers, each server is required to deposit a certain amount of money in a special account to be used as potential fines or rewards for proof of misconduct.
- Each server must periodically publish and commit to its current money creation and money ownership databases. Also they should verify that his own account balances are correct and that total sum of account balances in not greater than the total amount of money created. This would prevent the servers, even in total collusion, from permanently and costlessly expanding the money supply.
- New servers synchronize with the existing servers to used the published databases.
Alternative B-Money Creation
One of the major problems faced in decentralized money network protocols is reaching a consensus for the cost of a computing effort. The rapid advances of computing technology, often in a private development makes it difficult to gather accurate information about these metrics while making sure they are not outdated.
Author proposes a subprotocol, in which the account keepers (i.e. the participants in first protocol or servers in second protocol) decide and agree on the amount of b-money to be create each period, where the cost of b-money is determined by an auction.
Each money creation period is divided up into four phases:
-
Planning: Account keepers compute and negotiate to determine an optimal increase in money supply for a given period. Whether or not the participants reach a concensus, they broadcast their money creation quota and any macroeconomic calculations done to support the figures.
-
Bidding: Anyone who wants to create the b-money makes a bid of the form <X, Y>, where X is the amount of b-money he wants to create and Y is an unsolved problem from a predetermined problem class (proof-of-work solution in case of bitcoin), where each problem has a nominal cost in MIPS-year publically agreed on.
-
Computation: After bidding, the ones who placed the bids in bidding phase solve the problem in their bid and broadcast the solutions.
-
Money Creation: Each participant accepts the highest bids (among all those who broadcast solutions) in terms of nominal cost per unit of b-money created and credits the bidder’s account accordingly.


rem(r1, r2)
Return the remainder of the real numbers r1 and r2. The remainder has the same sign as r1.
r1
r2
rem(10, 5.2) // 4.8 rem(10, -5.2) // 4.8 rem(-10, -5.2) // -4.8
Core Module Index | Contents


- Open the web browser console and do the following:
- Create a new instance of the Scorecard class (e.g. myScore = new Scorecard)
- To add rolls to the scorecard use the addRoll(FrameRoll, pinsKnockedDown) function.
E.g. A player knocks down 5 pins in frame 1 roll 1 enter myScore.addRoll(1.1, 5)
You cannot enter more than one turn at a time.
- Use the total(x) function to output your score with x being the frame you want the score for.
E.g. If you want the total of frame 5 enter total(5)
- To print the entire scorecard use print(y) where y is the frame you want the scorecard up to
- To reset the scorecard to zero all entries use resetScorecard()


Navy could remove Gallagher from SEALs, even after Trump intervention
WASHINGTON, Nov 20 — Special Operations Chief Edward Gallagher, whose rank was recently restored by President Donald Trump in a controversial move, could be removed from the Navy SEALs, US officials told Reuters yesterday.
Gallagher, a SEAL team platoon leader, was accused of committing war crimes while deployed in Iraq in 2017.
In July, a military jury acquitted him of murdering a captured Islamic State fighter by stabbing the wounded prisoner in the neck, but it convicted him of illegally posing with the detainee's corpse. That led to his rank being reduced.
Last week, Trump restored Gallagher's rank and pardoned two Army officers accused of war crimes in Afghanistan. Critics said Trump's moves undermined military justice and sent a message that battlefield atrocities would be tolerated.
A US official, speaking on the condition of anonymity because of the sensitivity of the matter, said Gallagher and three other SEALs are likely to be notified on Wednesday that they must appear before a board that will decide whether they should be stripped of their SEAL status.
Officials said that process could take weeks, but that the decision to review Gallagher's status had the support of senior Navy leaders.
If Gallagher is removed from the SEALs, he would either have to retire or find a different position in the Navy. — Reuters


This is currently just a placeholder. Use the endpoint POST /update directly (e.g. using ota_update.py supplied with AsyncMinimalOTA).


The metadata associated with the yeast RNAseq data at ENA is not informative enough to replicate our sample names. This script generates a more meaningful mapping for uploading to figshare:
ENA_sample_mapping.pl [--in <path>] [--url <ENA url>] [--out <file>] [--verbose|--no-verbose] [--version] [--debug|--no-debug] [--man] [--help]
| param: | –in - Input path to raw fastq files. [default: /cluster/gjb_lab/cdr/GRNAseq/raw/raw_reads] |
|---|---|
| param: | –url - URL generated by ENA for downloading sample metadata file. Only specify if you know what you’re doing. |
| param: | –out - Output filename. [default: sample_mapping.tsv] |
| param: | –version - Report version information and exit |
| param: | –verbose|–no-verbose - Toggle verbosity. [default:none] |
| param: | –debug|–no-debug - Toggle debugging output. [default:none] |
| param: | –help - Brief help. |
| param: | –man - Full manpage of program. |


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function ColorScale(C, W: TColor32): TColor32;
The resulting color S is formed by scaling the individual components of C by a factor W. The result is clamped to the [0…255] range.
SARGB = CARGB * W.
[See Also] ColorModulate


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 40
You may need to cook this in batches up to step 4, then mix everything together in a large pot before transferring to ovenproof dishes.
Preheat the oven to 180C/350F/Gas 4.
Heat the vegetable oil in large frying pans and add the meat. Fry for 2-3 minutes, turning once or twice, until the meat is browned all over then remove the meat from the pan and set aside.
Add a little more oil if necessary and fry the onions for 3-4 minutes or until just starting to soften, then stir in the peppers and cook for a further 3-4 minutes. Add the mushrooms and cook for a further five minutes.
Sprinkle in the paprika and stir to coat the vegetables then add the water and yoghurt and reduce the heat.
Stir in the beef and any resting juices. Transfer to ovenproof dishes, cover with aluminium foil and cook in the oven for about one and a half hours or until the meat it tender and the sauce is thick.


Appeal for info made regarding ‘suspicious animal incidents’ amid ‘occult’ claims
by Sylvester PhelanAn appeal for information has been made following a series of suspicious incidents in which cattle and sheep have been wounded and killed in the UK recently.
In a statement released on Friday, November 22, Hampshire Constabulary appealed for information, stating:
“We are appealing for witnesses following suspicious incidents involving animals near Lyndhurst.
“We received a report at around 11:00am on Tuesday, November 19, that a dead ewe had been found at the roadside in Penn Common Road, Bramshaw. The ewe had a puncture wound to its side.
We are looking to see if this incident is linked to two other incidents, in which cows have been found with wounds.
One of these incidents took place sometime between 2.30pm on Tuesday 19 November and 9.10am on Wednesday, November 20,” the police statement said.
The police added that the heifer was let out in the Bramshaw area and when it returned it was found to have a wound on its neck; the heifer was taken to the vets for treatment.
“The second incident took place sometime between 7pm on Tuesday 12 November and 1pm on Thursday 14 November.
“Two calves that had been let out in the Linwood area returned with small wounds to their shoulder. The wounds have been treated,” the police statement added.
Sergeant Andy Williams, of Hampshire Constabulary’s Country Watch team, said: “These incidents are unusual in the New Forest.
We are looking at the circumstances of each one to see if they are linked, and to see how these animals came to be injured.
“If you have any information that could help our enquiries, then please call 101, quoting the crime reference number<PHONE_NUMBER>7.
“We would also urge anyone who uses the Forest, including Commoners, to be vigilant. Please contact us if you see anything suspicious, even if you think what you have seen or heard is not that important.”
‘Occult’
According to the BBC, the dead ewe was spray painted with five-point star pentagrams, while satanic symbols were also found daubed on Bramshaw Church.
An inverted cross and the number 666 were painted on the door of the part-12th Century St Peter’s Church in Bramshaw, in the locality, the BBC noted.


WITNESS LIST Public Health Committee February 28, 2001-1:30P HB 101 Committee Substitute (#1/Maxey) For: Ghertner, Susan (Self and Breast Cancer Resource Center of Austin, National Breast Cancer Coalition) Jones, Terri (Self and WINGS, Methodist Healthcare Ministries) On: Denton, Judy (Texas Department of Human Services) Freeland, David (Texas Department of Human Services) Registering, but not testifying: For: Balla, Laura (The American Cancer Society) Cernosek, Larry (The Rose) Dunkelberg, Anne (Center for Public Policy Priorities) Headrick, Kelly (American Cancer Society) Kolodzey, Patricia (Texas Hospital Association) McGiffert, Lisa (Consumers Union) Rankins, Maria (Sisters Network Inc.) Riddering, Hannah (Self and Texas National Organization for Women) Rushing, Linda (Texas Conference of Catholic Health Facilities) Umphress, John (Texas Association of Public and Nonprofit Hospitals) Young, Jenny (Texas Medical Association) On: Gernsbacher, Ron (Texas Department of Health) Mendez, Margaret C. (Texas Department of Health) HB 101 Committee Substitute (Maxey/#1) For: Samuels, Marc (US Oncology and Texas Academy of Internal Medicine) HB 846 For: Domaschk, Dawn (Self) Ellwanger, Jay (Self) Golld, Heather (Self) McGiffert, Lisa (Consumers Union) Richardson, Bruce (Opticians Association of Texas) Shepherd, Amy (Self) Against: Newman, OD, Clarke D. (Self and Texas Optometric Association) Piccolo, Marcus G. (Self and Texas Optometric Association) Sorrenson, Laurie (Texas Optometric Association) Thorne, MD, George (Texas Ophthalmological Association) Walters, Thomas R. (Self) On: Berryhill, Rebecca (Texas Department of Health) DeLoach, O.D., Joe (Self) Ewald, Lois (Texas Optometry Board) Mills, Stephen (Texas Department of Health, Contact Lens Permit Program) Registering, but not testifying: For: Hornickel, Deborah (Self) Kniffen, Anthony (Self) Against: Avery, BJ (Texas Optometric Association) Bade-Wible, Annette (Self) Cornett, John Todd (Texas Optometric Association) HB 895 Committee Substitute (Coleman/#1) On: Hale, Karen (Texas Department of Mental Health and Mental Retardation) Registering, but not testifying: For: Davis, Helen Kent (Texas Medical Association) Dunkelberg, Anne (Center for Public Policy Priorities) McGiffert, Lisa (Consumers Union) McPherson, Kim (The Mental Health Association in Texas) Riddering, Hannah (Self and Texas National Organization for Women) Shannon, Reverend Angela (Self) Trinh, Thanh (Self) Umphress, John (Texas Association of Public and Nonprofit Hospitals) On: Gladden, Patricia (Texas Department of Health) McKimmey, Gerald F. (Texas Department of Mental Health and Mental Retardation) HB 896 Committee Substitute (Coleman/#1) On: Brownridge, Rose (Texas Department of Health, Bureau of HIV/STD Prevention) Registering, but not testifying: For: Davis, Helen Kent (Texas Medical Association) Dunkelberg, Anne (Center for Public Policy Priorities) McGiffert, Lisa (Consumers Union) Parker, Ph.D., Carolyn A. (Texas AIDS Network) Shannon, Reverend Angela (Self) Trinh, Thanh (Self) Umphress, John (Texas Association of Public and Nonprofit Hospitals) On: Stanley, Sharilyn K. (Texas Department of Health) HB 1087 For: Borel, Dennis (Coalition of Texans with Disabilities) Kern, Diana (Self and Nami Texas) McPherson, Kim (The Mental Health Association in Texas) Mizcles, Amy (NAMI Texas) On: Elrod, Susanne (Texas Center for Disability Studies, UT Austin) Schwartz, Jonas (Advocacy Inc.) Registering, but not testifying: For: Davis, Helen Kent (Texas Medical Association) Dunkelberg, Anne (Center for Public Policy Priorities) Fisher, Christine (Self and Texas Mental Health Consumers) Hernandez, Leslie (National Association of Social Workers of Texas) Jones, Susan (Texas Hospital Association) Marshall, Susan (The ARC of Texas) McGiffert, Lisa (Consumers Union) Parker, Ph.D., Carolyn A. (Texas AIDS Network) Redmond, Leigh (Texas Mental Health Consumers) Riddering, Hannah (Self and Texas National Organization for Women) Rushing, Linda (Texas Conference of Catholic Health Facilities) Shannon, Reverend Angela (Self) Trinh, Thanh (Self) Umphress, John (Texas Association of Public and Nonprofit Hospitals) On: Cohen, Sharon (Texas Department of Health, Children with Special Health Care Needs Division) Roberts, Lori (Texas Department of Health - Children with Special Health Care Needs) HB 1156 Committee Substitute (Coleman/#1) For: Belver, Carole (Self) Realini, MD, MPH, Janet P. (Self) Romberg, Peggy (Women's Health and Family Planning Association) On: McIlhaney, Joe (Self) Registering, but not testifying: For: Ackerwow, Sarah J. (Self) Albert, Mary T. (Self) Alexander, Lynda Henry (Self) Allen, Vicki (Self) Alvaraolo, Yolunda (Self) Ancina, Selma (Self) Antomas, Anna (Self) Antonoff, Aintre (Self) Arredondo, Karina (Self) Ashley, Barbara (Self) Ausley, Robbie (Self) Balusek, Cynthia S. (Self) Barnes, Jamie (Self) Barrett, Cynthia A. (Self) Battle, Jennifer (Self) Bell, Robert (Self) Bellow, Vicki (Self) Bilz, Reed K. (Self) Bolding-Smith, Michelle (Self) Boone, Cecilia (Self) Brennan, Mary Ellen (Self and Planned Parenthood of Houston) Buckner, Brenda (Self) Buckthal, Jeanne (Self) Byers, Linda (Self) Camacho, Jose E. (Texas Association of Community Health Centers, Inc.) Castro, Aymara (Self) Catchman, Gladys W. (Self) Cawlfield, Carla (Self) Chimene, Carla (Self) Cohen, Meryl (Self) Colt, Mary Frances (Self) Cote, Janice (Self) Creighton, Patricia (Self) Cullinane, Mary (Self) Cumby, Glynda F. (Self) Dallred, Carol (Self) Dallred, Robin (Self) Dalton, Brenda D. (Self) Daniel, Anitra (Self) Davalos, Jessica N. (Self) Davis, Anneliese (Self) Davis, Helen Kent (Texas Medical Association) Dealey, Mandy (Self and Planned Parenthood of the Texas Capital Region) DeChant, Michele (Self) DeMoss, MPH, Margaret (Self) DiCoste, Patricia (Self) Doucet, Lisha (Self) Dunkelberg, Anne (Center for Public Policy Priorities) Durkin, Peter J. (Self) Feltovich, Nick (Self) Fernandez, Belinda (Self) Fernandez, Leigh Ann (Self) Fletcher, Joyce H. (Self and Planned Parenthood) Ford, Sheila (Self and Planned Parenthood) Foster, Monica (Self) Frede, Martha (Planned Parenthood) Geoghegan, Cynthia (Self) Gibson, Cindy (Self) Green, Linda (Self) Greer, Andrea Chilton (Self) Greiner, Beth (Self and Planned Parenthood) Guares, Andrea (Self) Hart, Dana (Self) Harwood, Jaclyn (Self) Havens, Adrian Neil (Self) Hayes, Terry A. (Self) Hernandez, Leslie (National Association of Social Workers of Texas) Herzog, Greg (Texas Academy of Family Physicians) Hirtriter, Kellye H. (Self) Holst, Judy (Self and Planned Parenthood) Horn, Debra (Self) Huffer, Lynne (Self) Johnson, Kay (Self) Johnson, Linda (Self) Jones, Tamara (Self) Joyner, Sylvia Pettis (Self and Planned Parenthood of Houston) Ketonen, Irene (Self) Kidd, Lois W. (Self and Planned Parenthood) Knight, Marilyn (Self) Knobil, Julane H. (Self) Kyle, Kimberlee (Self) Langley, Sandra (Self) Lars, Jessica (Self) Lewis-Wynn, Dorethea (Self) LeBlanc, Sylvia (Self) Linton, Melaney (Self) Lowery, Jane Sheffield (Self) Magid, Sabina (Self) Mandeville, Jennifer (Self) Martinez, Jill (Self) Massey, Jackson (Self) Massey, Mackenzie (Self) May, Linda K. (Self) McCandless, Sally (Self) McClain, Travis H. (Self) McFall, Donna (Self) McGaskey, Lucille (Self and Planned Parenthood of Houston) McGiffert, Lisa (Consumers Union) McKibben, Luke (Self) McLaren, Jessica (Self) Merriam, Rosemary D. (Women's Health and Family Planning Association of Texas) Miller, Nora (Self) Morian, Sallie (Self) Morneau, Pamela (Self) Moroney, Muffie (Self) Munger, Lisa (Self) Musgraves, Marsha (Self) Nelson, Joe Love (Self) Nelson, Joy (Self) North, Lynne Gibbens (Self) Olson, Linwood (Self) Orr, Amber (Self) Orr, Erica (Self) Parics, Glenda (Self) Parker, H. Neal (Self) Patton, Rita K. (Self) Payne, Gail (Self) Perwien, Summer (Self) Peschel, Lisa (Self) Quintero, Chris (Self) Ramirez, Alicia (Self) Read, Cate (Self and Planned Parenthood) Richardson, Parvin K. (Self) Riddering, Hannah (Self and Texas National Organization for Women) Roberts, Ken (Self) Ronck, Joan (Self) Rosales, Christine A. (Self) Rosales-Elkins, Deborah (Self) Roy, Joyce M. (Self) Rutherford, Michelle (Self) Salinas, Dominga C. (Self) Samuels, Marc (US Oncology) Sanchez, Cecilia (Self) Sanger, Lisa (Self) Schulz, Rachel (Self) Shannon, Reverend Angela (Self) Shure, Judith (Self) Silliphant, Laura (Self) Smallwood, Pam (Self) Smith, Grace (Self) Smolensky, Sandra (Self) Sperry, Bryan (Children's Hospital Association of Texas) Stanlen, Brenda (Self) Stone, Pat (Self) Supina, Joyce (Self) Talarico, Tamara (Self) Taylor, C.Lee (Self) Taylor, Dawn (Self) Terlikowski, Jessica (Self) Terrazas, Marylou (Planned Parenthood) Teykl, Emily (Self) Thibaudeau-Graczyk, Eva (Self) Tierney, Danielle (Planned Parenthood of the Texas Capital Region) Tiilikainen, Anu (Self) Tippet, Tristan (Self) Trinh, Thanh (Self) Truong, Toni (Self) Tucker, Sue M. (Self) Tyler, Virginia (Self) Umphress, John (Texas Association of Public and Nonprofit Hospitals) Van Hoose, Monrovia (Self) Vargas, Janie (Self) Verleer, Chaja (Self) Vuckovic, Dalibor (Self) Vuckovic, Natalie (Self) Waldie, Shari (Texas Association of Obstetrics and Gynecology) Wesch, Wendy (Self) Wheeler, Anne (Self) White, Rebecca (Self) Whitted, Beth (Self) Wilkinson, Jo Gayle (Self) Willmore, Ellen (Self) Witherspoon, Carolyn (Self) Woodson, Trudy (Self) Worthington, Juniel (Self) Against: Conger, Jeanne (Concerned Women for America (CWA)) On: Gernsbacher, Ron (Texas Department of Health) Jones, Cindy (Texas Department of Health) HB 1422 Committee Substitute (Oliviera et al./#1) For: Albornoz, Fernando (Texas Lulac District Council 85) Corrigan, Jennifer (Texas Council on Family Violence) Dunkelberg, Anne (Center for Public Policy Priorities) Escobar, Felicia (National Council of LaRaza) Harrell, William (ACLU of Texas) Jones, Jennifer (Project Link) Riddering, Hannah (Self and Texas National Organization for Women) Sanchez, Joe (Mexican American Legal Defense and Educational Fund (MALDEF)) Sheppard, Nancy (Self and Seton Healthcare Network) On: Denton, Judy (Texas Department of Human Services) Wertz, Linda (Health and Human Services Commission) Registering, but not testifying: For: Attal, Chris Kazen (Catholic Diocese of Austin, Parish Social Ministries) Brewer, Sister Helen (Seton Healthcare Network) Camacho, Jose E. (Texas Association of Community Health Centers Inc.) Daly, Richard (Texas Catholic Conference) Davis, Helen Kent (Texas Medical Association) Hernandez, Leslie (National Association of Social Workers of Texas) Jones, Susan (Texas Hospital Association) McGiffert, Lisa (Consumers Union) McPherson, Kim (The Mental Health Association in Texas) Perkins, Vicki (Christus Health) Phipps, Candie (Texas Pediatric Society) Rushing, Linda (Texas Conference of Catholic Health Facilities) Sperry, Bryan (Children's Hospital Association of Texas) Thomas, Jeanette (Lulac State Executive Office) Umphress, John (Texas Association of Public and Nonprofit Hospitals) HB 1877 For: Domaschk, Dawn (Self) Ellwanger, Jay D. (Self) Gould, Heather (Self) McGiffert, Lisa (Consumers Union) Richardson, Bruce (Opticians Association of Texas) Shepherd, Amy M. (Self) Against: Newman, Clark (Texas Optometric Association) Piccolo, Marcus G. (Self and Texas Optometric Association) Sorrenson, Laurie (Texas Optometric Association) Walters, Thomas (Self) On: Berryhill, Rebecca (Texas Department of Health) DeLoach, O.D., Joe (Self) Ewald, Lisa (Texas Optometry Board) Mills, Stephen (Texas Department of Health) Thorne, G (Texas Ophthalmological Association) Registering, but not testifying: For: Hornickel, Deborah (Self) Kniffen, Anthony (Self) Solomon, Robert C. (Self) Against: Avery, Bj (Texas Optometric Association) Badz-Wible, Annette (Self) Cornett,M.D., John (Texas Optometic Association) SB 126 Committee Substitute (Turner et al./#1) Registering, but not testifying: For: Herzog, Greg (Texas Academy of Family Physicians) Kolodzey, Patricia (Texas Hospital Association) Phipps, Candie (Texas Pediatric Society) Riddering, Hannah (Self and Texas National Organization for Women) Samuels, Marc (Texas Academy of Internal Medicine, East Texas Medical Center) Turner, Jill (Texas Farm Bureau) On: Easley, Mike (Center for Rural Health Initiatives) Moller, Lesa (Texas Higher Education Coordinating Board) Silverman, Stacey (Texas Higher Education Coordinating Board)


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WITNESS LIST Ways & Means Committee June 24, 2005-10:30A HB 4 For: Baker, Carol R. (Self) Brauner, Jan (Self) Carter, Susie (Self and Myself/Hays Co Pct 2) Jones, Carol (Self and Americans for Prosperity) Martinez, Maria (Self and Americans for Prosperity - Texas) Morris, Judy (Self) Odom, Venita (Self) Ruppert, Charles (Self) Tull, Amber (Self) Venable, Peggy (Americans for Prosperity TX Director) Ward, Robert M. (Self) Zimmerman, Don (Northwest Austin Mud #1) Against: Allison, Jim (County Judges & Commissioners Assn. of TX) Brock (Mayor), Euline (City of Denton) Brown, Tim (Bell County Commissioners Court; Texas Conference of Urban Counties) Kerss, Thomas (Self and Sheriffs' Association of Texas) Lee, Donald (Texas Conference of Urban Counties) Millikin, Jay (Comal County Commissioners Court) Powell, Leilah (Bexar County Commissioners Court) Wells, James (Self) HB 23 On: Allison, Jim (County Judges & Commissioners Assn. of TX)


THERE IS ONE IMPOSTOR AMONG US
Your goal is to hold your spaceship together and return back to civilization. But beware...as there may be an alien impostor aboard!
One crewmate has been replaced by a parasitic shapeshifter. Their goal is to eliminate the rest of the crew before the ship reaches home.
The Impostor will sabotage the ship, sneak through vents, deceive, and frame others to remain anonymous and kill off the crew.


Put a little PEP in your step and get going - it's your last chance to order our NEW Double Pepperoni and Bacon Pizza!


I'm only a french developer, this is my own simple way to support Charlie Hebdo.
Tophe
The purpose of this site was for me to make an application using Angular and d3 together with real-time data.
All the d3 directives (the graphs) that you will see are home made in pure d3 and plugged in to Angular - they also are responsive.
The data comes from the Twitter Stream API - it's like if the server was directly plugged in to Twitter's, listening to all the tweets matching the specified keywords.
Resulting tweets are post-processed by twitter-stream-channels, a node module I made, and then are transferred in realtime by my node server to the frontend via websockets.
Be aware there is a menu at the top from where you can navigate to the different channels :
{{data.channels[$index].count}} tweets


Thrift Client
The following examples are of using the Thrift API directly. You will need to following libraries at a minimum:
- blur-thrift-*.jar
- blur-util-*.jar
- slf4j-api-1.6.1.jar
- slf4j-log4j12-1.6.1.jar
- commons-logging-1.1.1.jar
- log4j-1.2.15.jar
Note
Other versions of these libraries could work, but these are the versions that Blur currently uses.Getting A Client Example
Connection String
The connection string can be parsed or constructed through "Connection" object. If you are using the parsed version there are some options. At a minimum you will have to provide hostname and port:host1:40010
You can list multiple hosts:
host1:40010,host2:40010
You can add a SOCKS proxy server for each host:
host1:40010/proxyhost1:6001
You can also add a timeout on the socket of 90 seconds (the default is 60 seconds):
host1:40010/proxyhost1:6001#90000
Multiple hosts with a different timeout:
host1:40010,host2:40010,host3:40010#90000
Here is all options together:
host1:40010/proxyhost1:6001,host2:40010/proxyhost1:6001#90000
Thrift Client
Client Example 1:Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
Client Example 2:
Connection connection = new Connection("controller1:40010");
Iface client = BlurClient.getClient(connection);
Client Example 3:
BlurClientManager.execute("controller1:40010,controller2:40010", new BlurCommand<T>() {
@Override
public T call(Client client) throws BlurException, TException {
// your code here...
}
});
Client Example 4:
List<Connection> connections = BlurClientManager.getConnections("controller1:40010,controller2:40010");
BlurClientManager.execute(connections, new BlurCommand<T>() {
@Override
public T call(Client client) throws BlurException, TException {
// your code here...
}
});
Query Example
This is a simple example of how to run a query via the Thrift API and get back search results. By default the first 10 results are returned with only row ids to the results.
Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
Query query = new Query();
query.setQuery("+docs.body:\"Hadoop is awesome\"");
BlurQuery blurQuery = new BlurQuery();
blurQuery.setQuery(query);
BlurResults results = client.query("table1", blurQuery);
System.out.println("Total Results: " + results.totalResults);
for (BlurResult result : results.getResults()) {
System.out.println(result);
}
Query Example with Data
This is an example of how to run a query via the Thrift API and get back search results with data. All the columns in the "fam0" family are returned for each Record in the Row.
Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
Query query = new Query();
query.setQuery("+docs.body:\"Hadoop is awesome\"");
Selector selector = new Selector();
// This will fetch all the columns in family "fam0".
selector.addToColumnFamiliesToFetch("fam0");
// This will fetch the "col1", "col2" columns in family "fam1".
Set cols = new HashSet();
cols.add("col1");
cols.add("col2");
selector.putToColumnsToFetch("fam1", cols);
BlurQuery blurQuery = new BlurQuery();
blurQuery.setQuery(query);
blurQuery.setSelector(selector);
BlurResults results = client.query("table1", blurQuery);
System.out.println("Total Results: " + results.totalResults);
for (BlurResult result : results.getResults()) {
System.out.println(result);
}
Query Example with Sorting
This is an example of how to run a query via the Thrift API and get back search results with data being sorted by the "docs.timestamp" column. All the columns in the records will be returned.
Note
Sorting is only allowed on Record queries at this point.Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
Query query = new Query();
query.setQuery("+docs.body:\"Hadoop is awesome\"");
query.setRowQuery(false);
Selector selector = new Selector();
selector.setRecordOnly(true);
BlurQuery blurQuery = new BlurQuery();
blurQuery.setQuery(query);
blurQuery.setSelector(selector);
blurQuery.addToSortFields(new SortField("docs", "timestamp", true));
BlurResults results = client.query("table1", blurQuery);
System.out.println("Total Results: " + results.totalResults);
for (BlurResult result : results.getResults()) {
System.out.println(result);
}
Faceting Example
This is an example of how to use the faceting feature in a query. This API will likely be update in a future version.
Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
Query query = new Query();
query.setQuery("+docs.body:\"Hadoop is awesome\"");
final BlurQuery blurQuery = new BlurQuery();
blurQuery.setQuery(query);
// This facet will stop counting once the count has reached 10000. However this is only counted
// on each server, so it is likely you will receive a count larger than your max.
blurQuery.addToFacets(new Facet("fam1.col1:value1 OR fam1.col1:value2", 10000));
blurQuery.addToFacets(new Facet("fam1.col1:value100 AND fam1.col1:value200", Long.MAX_VALUE));
BlurResults results = client.query(tableName, blurQuery);
System.out.println("Facet Results:");
List facetCounts = results.getFacetCounts();
List facets = blurQuery.getFacets();
for (int i = 0; i < facets.size(); i++) {
System.out.println("Facet [" + facets.get(i) + "] got [" + facetCounts.get(i) + "]");
}
BlurResults results = client.query("table1", blurQuery);
System.out.println("Total Results: " + results.totalResults);
for (BlurResult result : results.getResults()) {
System.out.println(result);
}
Fetch Data
This is an example of how to fetch data via the Thrift API. All the records of the Row "rowid1" are returned. If it is not found then Row would be null.
Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
Selector selector = new Selector();
selector.setRowId("rowid1");
FetchResult fetchRow = client.fetchRow("table1", selector);
FetchRowResult rowResult = fetchRow.getRowResult();
Row row = rowResult.getRow();
for (Record record : row.getRecords()) {
System.out.println(record);
}
Mutate Example
This is an example of how to perform a mutate on a table and either add or replace an existing Row.
Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
Record record1 = new Record();
record1.setRecordId("recordid1");
record1.setFamily("fam0");
record1.addToColumns(new Column("col0", "val0"));
record1.addToColumns(new Column("col1", "val1"));
Record record2 = new Record();
record2.setRecordId("recordid2");
record2.setFamily("fam1");
record2.addToColumns(new Column("col4", "val4"));
record2.addToColumns(new Column("col5", "val5"));
List recordMutations = new ArrayList();
recordMutations.add(new RecordMutation(RecordMutationType.REPLACE_ENTIRE_RECORD, record1));
recordMutations.add(new RecordMutation(RecordMutationType.REPLACE_ENTIRE_RECORD, record2));
// This will replace the exiting Row of "rowid1" (if one exists) in table "table1". It will
// write the mutate to the write ahead log (WAL) and it will not block waiting for the
// mutate to become visible.
RowMutation mutation = new RowMutation("table1", "rowid1", true, RowMutationType.REPLACE_ROW,
recordMutations, false);
mutation.setRecordMutations(recordMutations);
client.mutate(mutation);
Shortened Mutate Example
This is the same example as above but is shorted with a help class.
import static org.apache.blur.thrift.util.BlurThriftHelper.*;
Iface client = BlurClient.getClient("controller1:40010,controller2:40010");
// This will replace the exiting Row of "rowid1" (if one exists) in table "table1". It will
// write the mutate to the write ahead log (WAL) and it will not block waiting for the
// mutate to become visible.
RowMutation mutation = newRowMutation("table1", "rowid1",
newRecordMutation("fam0", "recordid1", newColumn("col0", "val0"), newColumn("col1", "val2")),
newRecordMutation("fam1", "recordid2", newColumn("col4", "val4"), newColumn("col5", "val4")));
client.mutate(mutation);
Shell
The shell can be invoked by running:
$BLUR_HOME/bin/blur shell
Also any shell command can be invoked as a cli command by running:
$BLUR_HOME/bin/blur <command>
# For example to get help
$BLUR_HOME/bin/blur help
The following rules are used when interacting with the shell:
- Arguments are denoted by "< >".
- Optional arguments are denoted by "[ ]".
- Options are denoted by "-".
- Multiple options / arguments are denoted by "*".
Map Reduce
Here is an example of the typical usage of the BlurOutputFormat. The Blur table has to be created before the MapReduce job is started. The setupJob method configures the following:
- The reducer class to be DefaultBlurReducer
- The number of reducers to be equal to the number of shards in the table.
- The output key class to a standard Text writable from the Hadoop library
- The output value class is a BlurMutate writable from the Blur library
- The output format to be BlurOutputFormat
- Sets the TableDescriptor in the Configuration
- Sets the output path to the TableDescriptor.getTableUri() value
- Also the job will use the BlurOutputCommitter class to commit or rollback the MapReduce job
Example Usage
Iface client = BlurClient.getClient("controller1:40010");
TableDescriptor tableDescriptor = client.describe(tableName);
Job job = new Job(jobConf, "blur index");
job.setJarByClass(BlurOutputFormatTest.class);
job.setMapperClass(CsvBlurMapper.class);
job.setInputFormatClass(TextInputFormat.class);
FileInputFormat.addInputPath(job, new Path(input));
CsvBlurMapper.addColumns(job, "cf1", "col");
BlurOutputFormat.setupJob(job, tableDescriptor);
BlurOutputFormat.setIndexLocally(job, true);
BlurOutputFormat.setOptimizeInFlight(job, true);
job.waitForCompletion(true);
Options
-
BlurOutputFormat.setIndexLocally(Job,boolean)
- Enabled by default, this will enable local indexing on the machine where the task is running. Then when the RecordWriter closes the index is copied to the remote destination in HDFS.
-
BlurOutputFormat.setMaxDocumentBufferSize(Job,int)
- Sets the maximum number of documents that the buffer will hold in memory before overflowing to disk. By default this is 1000 which will probably be very low for most systems.
-
BlurOutputFormat.setOptimizeInFlight(Job,boolean)
- Enabled by default, this will optimize the index while copying from the local index to the remote destination in HDFS. Used in conjunction with the setIndexLocally.
-
BlurOutputFormat.setReducerMultiplier(Job,int)
- This will multiple the number of reducers for this job. For example if the table has 256 shards the normal number of reducers is 256. However if the reducer multiplier is set to 4 then the number of reducers will be 1024 and each shard will get 4 new segments instead of the normal 1.
CSV Loader
The CSV Loader program can be invoked by running:
$BLUR_HOME/bin/blur csvloader
Caution
Also the machine that will execute this command will need to have Hadoop installed and configured locally, otherwise the scripts will not work correctly.usage: csvloader
The "csvloader" command is used to load delimited into a Blur table.
The required options are "-c", "-t", "-d". The standard format for the contents of a file
is:"rowid,recordid,family,col1,col2,...". However there are several options, such as the rowid and
recordid can be generated based on the data in the record via the "-A" and "-a" options. The family
can assigned based on the path via the "-I" option. The column name order can be mapped via the "-d"
option. Also you can set the input format to either sequence files vie the "-S" option or leave the
default text files.
-A No Row Ids - Automatically generate row ids for each record based on a MD5
has of the data within the record.
-a No Record Ids - Automatically generate record ids for each record based on a
MD5 has of the data within the record.
-b <size> The maximum number of Lucene documents to buffer in the reducer for a single
row before spilling over to disk. (default 1000)
-c <controller*> * Thrift controller connection string. (host1:40010 host2:40010 ...)
-C <minimum maximum> Enables a combine file input to help deal with many small files as the
input. Provide the minimum and maximum size per mapper. For a minimum of
1GB and a maximum of 2.5GB:<PHONE_NUMBER><PHONE_NUMBER>)
-d <family column*> * Define the mapping of fields in the CSV file to column names. (family col1
col2 col3 ...)
-I <family path*> The directory to index with a family name, the family name is assumed to NOT
be present in the file contents. (family hdfs://namenode/input/in1)
-i <path*> The directory to index, the family name is assumed to BE present in the file
contents. (hdfs://namenode/input/in1)
-l Disable the use storage local on the server that is running the reducing
task and copy to Blur table once complete. (enabled by default)
-o Disable optimize indexes during copy, this has very little overhead.
(enabled by default)
-p <codec> Sets the compression codec for the map compress output setting.
(SNAPPY,GZIP,BZIP,DEFAULT, or classname)
-r <multiplier> The reducer multipler allows for an increase in the number of reducers per
shard in the given table. For example if the table has 128 shards and the
reducer multiplier is 4 the total number of reducers will be 512, 4 reducers
per shard. (default 1)
-s <delimiter> The file delimiter to be used. (default value ',') NOTE: For special
charactors like the default hadoop separator of ASCII value 1, you can use
standard java escaping (\u0001)
-S The input files are sequence files.
-t <tablename> * Blur table name.
JDBC
The JDBC driver is very experimental and is currently read-only. It has a very basic SQL-ish
language that should allow for most Blur queries.
Basic SQL syntax will work for example:
select * from testtable where fam1.col1 = 'val1'
You may also use Lucene syntax by wrapping the Lucene query in a "query()" function:select * from testtable where query(fam1.col1:val?)
Here is a screenshot of the JDBC driver in SQuirrel:


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| 009:067 Khan | : |
The hypocrites, men and women, are from one another, they enjoin (on the people) Al-Munkar (i.e. disbelief and polytheism of all kinds and all that Islam has forbidden), and forbid (people) from Al-Ma'ruf (i.e. Islamic Monotheism and all that Islam orders one to do), and they close their hands [from giving (spending in Allah's Cause) alms, etc.]. They have forgotten Allah, so He has forgotten them. Verily, the hypocrites are the Fasiqun (rebellious, disobedient to Allah). |
| 009:067 Maulana | : |
The hypocrites, men and women, are all alike.  They have forsaken Allah, so He has forsaken them. Surely the hypocrites are the transgressors. |
| 009:067 Pickthal | : |
The hypocrites, both men and women, proceed one from another. They enjoin the wrong, and they forbid the right, and they withhold their hands (from spending for the cause of Allah). They forget Allah, so He hath forgotten them. Lo! the hypocrites, they are the transgressors. |
| 009:067 Rashad | : |
The hypocrite men and the hypocrite women belong with each other - they advocate evil and prohibit righteousness, and they are stingy. They forgot GOD, so He forgot them. The hypocrites are truly wicked. |
| 009:067 Sarwar | : |
Be they male or female hypocrites, they are the same. They make others commit sins, prevent them from doing good deeds, and restrain their hands (from spending for the cause of God). They have forgotten all about God who also has ignored them. The hypocrites indeed are evil-doers. |
| 009:067 Shakir | : |
The hypocritical men and the hypocritical women are all alike; they enjoin evil and forbid good and withhold their hands; they have forsaken Allah, so He has forsaken them; surely the hypocrites are the transgressors. |
| 009:067 Sherali | : |
The hypocrites, men and women, are all as one to another. They enjoin evil and forbid good, and withhold their hands from spending for the cause of ALLAH. They forgot ALLAH, So HE has forgotten them. Surely, the hypocrites are the transgressors. |
| 009:067 Yusufali | : |
The Hypocrites, men and women, (have an understanding) with each other: They enjoin evil, and forbid what is just, and are close with their hands. They have forgotten Allah; so He hath forgotten them. Verily the Hypocrites are rebellious and perverse. |
Concepts/Themes Covered: أركان الإسلام > الزكاة والصدقات Pillars of Islam> Due Alms and Charities الإيمان > الإيمان بالله > النفاق Faith> Belief In Allah> Hypocrisy الدعوة إلى الله > وجوبها > وجوبها على كل مسلم The Call for Allah> Its Necessity> Its Necessity by Every Moslem الجهاد > الغزوات > غزوة تبوك Jihad> The Holy Battles> Tabuk Battle الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > الفسق Man and The Moral Relations>The Dispraised Morals>Impiety تنظيم العلاقات المالية > الزكاة Organizing Financial Relationships>Due Alms
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


FullRAFIntegration.brs
/simple_raf_sdk2_sample/source/FullRAFIntegration.brs
PlayContentWithFullRAFIntegration()
A full RAF integration Example:
- Include RAF.
- setAdURL to set the ad URL.
- Examples of RAF MACROS being passed in the ad call.
- getAds() for VAST parsing.
- showAds for rendering.
- Enable Nielsen.
- Pass all parameters to Nielsen beacons with examples of genre, program id and content.
-
Parameters:
videoContent -
[AA] object that has valid data for playing video with roVideoScreen.


{%- extends "base.html" %} {% import "bootstrap/utils.html" as utils %} {% block content %}
The Minecraft Monitor was built using a lot of great open source software.
{{line}}


lang-select.js
JavaScript program makes tab to change sites for languages.
View on GitHub
go sample page 1


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class: center, middle # CPE Tech Talk ## Running OpenShift 4.x as KVM virtual machine ### Fabian Arrotin ####<EMAIL_ADDRESS>@arrfab ??? These are some notes presented in presenter mode and not on screen --- class: center, middle, inverse # /whois arrfab #### ['ops','infra','floor sweeper'] @ centos.org --- # Agenda ## Openshift 4.x summary * What changed (RHCOS) * How to *normally* install OCP * Why in Virtual Machines ? * ... and how (with ansible driven deployment) --- # OCP 4 / What's "new" ? * No *classical* RHEL/CentOS host deploy with pkgs on top * Deploying RHCOS (CoreOS) * no kickstart, but ignition files to the rescue --- # OCP 4 / where to normally deploy * Cloud providers: * AWS/EC2 * Azure * GCP * Bare Metal ! (yeah) --- # OCP 4 / deploy to bare-metal "usual" for people used to pxe/kickstart * create pxe config * expose internal http for ignition files + rhcos installer * ipmi to boot node from network * automated install * Links: * https://github.com/CentOS/ansible-infra-playbooks/blob/master/templates/ocp_pxeboot.j2 * https://github.com/CentOS/ansible-infra-playbooks/blob/master/adhoc-provision-ocp4-node.yml --- # why OCP in VM for CentOS infra ? * not enough bare-metal nodes * but *beefy* nodes so can be used as hypervisors * spreading of course roles on different hypervisors (like etcd nodes *not* on same hypervisor) --- # VM refresh what's a Virtual Machine ? * just emulated hardware * so *bare-metal* setup should work, right ? --- # How to automate KVM guest deploy * virt-install * inject-initrd * point anaconda to internal ks file ```bash --initrd-inject=/var/lib/libvirt/local-kickstarts/{{ inventory_hostname }}.cfg \ {% if kvm_guest_arch == 'power9' or kvm_guest_arch == 'ppc64le' %} --extra-args "console=hvc0 console=hvc1 net.ifnames=0 ks=file:/{{ inventory_hostname }}.cfg" \ {% else %} --extra-args "console=ttyS0 net.ifnames=0 ks=file:/{{ inventory_hostname }}.cfg" \ {% endif %} ``` ^ from https://github.com/CentOS/ansible-infra-playbooks/blob/master/templates/ansible-virt-install.j2 --- # How to know what to boot ? * virt-install checks for a .treeinfo for the --location : ```bash -l, --location OPTIONS Distribution tree installation source. virt-install can recognize certain distribution trees and fetches a bootable kernel/initrd pair to launch the install. ``` So let's build one for OCP and point installer to it : ```bash [general] arch = x86_64 family = Red Hat CoreOS platforms = x86_64 version = {{ rhcos_version }} [images-x86_64] initrd = rhcos-{{ rhcos_version }}-x86_64-live-initramfs.x86_64.img kernel = rhcos-{{ rhcos_version }}-x86_64-live-kernel-x86_64 ``` --- # Then wrapper for virt-install, based on what we had ```bash virt-install \ --name {{ inventory_hostname }} \ --vcpus {{ kvm_guest_vcpus }} \ --cpu host \ --ram {{ kvm_guest_memory }} \ --disk path=/var/lib/libvirt/images/{{ inventory_hostname }}.qcow2,size={{ kvm_guest_disk_size }},format=qcow2,device=disk,bus=virtio,cache=none \ --nographics \ --network bridge={{ kvm_host_bridge }},model=virtio \ --hvm --accelerate \ --autostart --wait=-1 \ --extra-args "ip={{ ip }}::{{ gateway }}:{{ netmask }}:{{ inventory_hostname }}:{{ kvm_guest_vnic }}:none {% for ns in nameservers -%} nameserver={{ ns }} {% endfor -%} console=ttyS0 nomodeset rd.neednet=1 coreos.inst=yes coreos.inst.install_dev=vda coreos.live.rootfs_url={{ rhcos_install_rootfs_url }} coreos.inst.ignition_url={{ rhcos_ignition_file_url }} " \ --os-type linux --os-variant rhel7 \ --location {{ rhcos_install_url }} ``` --- class: center, middle # Demo time ? YEAH ! [*] (well, let's try) --- class: center, middle # Q&A


Cuellar and Suarez meet again after Camp Nou controversy
by BeSoccerLuis Suarez and Ivan Cuellar will meet again after the controversial encounter last season between Barcelona and Leganes at the Camp Nou. Both players ended up going for the ball and Suarez scored despite injuring the Leganes keeper in the process.
Barcelona travel to Leganes at the weekend in matchday 14 of La Liga. Luis Suarez and Ivan Cuellar will see each other for the first time since a controversial incident last term.
The two players had an confrontation last term in Leganes' trip to the Camp Nou on 20th January.
The Uruguayan striker scored a goal after kneeing the Spanish keeper in the face, a goal which counted and the VAR decided not to disallow it.
Featured links
- BREAKING NEWS: Mourinho replaces Pochettino at Tottenham
- The latest football transfers news and rumours
- Wales, golf, Madrid... in that order
- Luis Enrique returns to Spain national team
"Sometimes it seems like you have to get injured in order to be given a foul, Cuellar wrote on Instagram after being kneed in the face.
In addition, the referee, Ricardo de Burgos Bengotxea and the VAR, Ignacio Iglesias Villanueva, did not give a foul. As a result, Leganes presented a formal complaint to the RFEF, saying that Cuellar had a bruise on his right hand.
The rivalry between Suarez and Cuellar comes from a long way in the past when the goalie was still at Sporting Gijon. The animosity between them is still noticeable on the pitch.


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Reports when a collection is reversed explicitly to acquire a reverse iterator.
The quick-fix uses reverseIterator
instead.
Example:
var seq: Seq[Int]
seq.reverse.iterator
After the quick-fix is applied:
var seq: Seq[Int]
seq.reverseIterator


Before you know, this website is aimed for sharing my stuffs with others :D , feel free to take anything from here.
what does i share?
Find me on :


EBD - Easton Bible DIctionary
Bondage
BONDAGE
"BONDAGE "of Israel in Egypt (
Exodus 2:23, 25
; 5), which is called the“house of bondage” (
13:3
;
20:2
). This word is used also with reference to the captivity in Babylon (
Isaiah 14:3
), and the oppression of the Persian king (
Ezra 9:8, 9
).
"BONDAGE "of Israel in Egypt (Exodus 2:23, 25; 5), which is called the“house of bondage” (13:3; 20:2). This word is used also with reference to the captivity in Babylon (Isaiah 14:3), and the oppression of the Persian king (Ezra 9:8, 9).


{% extends "blog/base.html" %} {% block content%}
Welcome to Self Practice
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Repeat After Me...
{% load static %}
{% csrf_token %}
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Click to View Details
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|
| void | ListenChanges (Lifetime lifetime, Action< ListCellChanged< T >> handler) |
| | Observe the list cell for changes. This is an internal implementation method, and should not be used unless writing an extension to the core library. More...
|
| |
| bool | Exists (Predicate< T > match) |
| | Determines whether there exists any element matching the specified predicate. More...
|
| |
| T | Find (Predicate< T > match) |
| | Searches for an element that matches the specified predicate, and returns the first element that matches. More...
|
| |
| int | FindIndex (Predicate< T > match) |
| | Searches for an element that matches the specified predicate, and returns the index of first element that matches. More...
|
| |
| void | AddRef () |
| | Increment the reference count. If the object has already been destroyed, calling this method throws an exception. More...
|
| |
| void | Release () |
| | Decrement the reference count. If the count reaches zero, the object is destroyed. If the object has already been destroyed, calling this method throws an exception. More...
|
| |
| void | ListenForChanges (Lifetime lifetime, Action handler) |
| | Subscribe to notifications that the cell has changed. The listener is unsubscribed when the lifetime ends. More...
|
| |
Exposes a read-only interface for a list cell
- Template Parameters
-
| T | The type of the list elements. |
Observe the list cell for changes. This is an internal implementation method, and should not be used unless writing an extension to the core library.
If any list elements in the ListCellChanged object are reference counted, they will be released as soon as the handler returns. If the handler retains a reference to any of the elemens, it should call AddRef on each of them.
- Parameters
-
| lifetime | The lifetime of the subscription. |
| handler | The handler to invoke on each change. |
Implemented in Tempo.Util.AnonymousListCellRead< T >, and Tempo.ListCell< T >.


JS Number To Word Processor
v3.0.4
Is A JavaScript Plugin That Can Process Standard Dictionary Numbers Up To (
10
33003
),
Decillinillion
Into Human Readable Numbers & Words
Based On
Conway-Wechsler Numbering System
Change Decimal Length (default is 2 decimal place)
Change...
Number Would Only Be Called On Decimal Numbers.
If Number Is Greater Than The Decimal Point Length,
OR
Number Falls Outside (Range Numbering) Limit,
The Default 2 Decimal Point Would Be Used.
Input A Number
Process A Number ✨
Input An Array Of Numbers
Process An Array Of Numbers 💥


Projects
"You miss 100% of shots you don't take." - Wayne Gretzky
Home
Blog
Projects
Solo
CHOOSE YOUR STEP
Group
You Down? (DBC 5-Day)
Ascent (DBC Final)


Ethereum Price Weekly Forecast: ETH Could Rally Again
- ETH price found support near the $178 zone and is correcting higher against the US Dollar.
- The price is currently consolidating above the $180 support area, with a few positive signs.
- There is a major bullish trend line forming with support near $182 on the 4-hours chart of ETH/USD (data feed via Kraken).
- The pair remains well supported on the downside near the $182, $180 and $178 levels.
Ethereum price is likely to climb above the $185 resistance against the US Dollar, while consolidating vs bitcoin. ETH price must stay above $178 to resume its upward move.
Ethereum Price Weekly Analysis
This past week, Ethereum started a downside correction below the $188 and $185 supports against the US Dollar. Moreover, ETH traded below the $182 and $180 support levels.
However, the $178 support area (the previous resistance) acted as a strong support. Besides, the price managed to stay above the $175 pivot and the 100 simple moving average (4-hours).
As a result, the price started a slow rise above the $180 resistance. There was a break above the 23.6% Fib retracement level of the downward move from the $194 swing high to $178 swing low. The price even climbed above the $184 level, but it seems like it is facing hurdles near $185-$186.
Additionally, the 50% Fib retracement level of the downward move from the $194 swing high to $178 swing low is currently acting as a resistance. Therefore, an upside break above the $185 and $186 resistance levels could set the pace for more gains.
The next key resistance is near the $190 area, above which Ethereum will most likely surge towards the $200 and $205 resistance levels. On the downside, there is a major bullish trend line forming with support near $182 on the 4-hours chart of ETH/USD.
If there is a fresh decline below the trend line, the price could find support near the $180 level and the 100 simple moving average (4-hours). The main support is near the $178 level, below which there is a risk of an extended decline in the coming days.
The above chart indicates that Ethereum price likely to break the $185 and $186 resistance levels. In the mentioned bullish case, the price is likely to continue higher towards the $190 and $200 levels. Conversely, the $180 and $178 support levels holds the key. If there is a bearish break below $178, the price may perhaps test $175 and $166.
Technical Indicators
4 hours MACD – The MACD for ETH/USD is mostly flat in the bearish zone.
4 hours RSI – The RSI for ETH/USD is currently above the 50 level, with a minor bearish angle.
Major Support Level – $178
Major Resistance Level – $186


Joe Thomas Calls Out Steelers QB Mason Rudolph For His Rehearsed Statement Addressing Fight (TWEET)
by Darrelle LincolnAfter six days, Mason Rudolph finally spoke with the media for the first time since his altercation with Myles Garrett that is mostly remembered for his helmet being snatched off his head and him being hit with it.
Rudolph began his presser by reading a prepared statement, in which he apologized for his role in the fight and stated he should’ve done a better job keeping his cool. The Steelers QB stated he became angry with what he felt like was a late hit by Garret.
Rudolph said the Steelers had “already lost two of our players to targeting penalties.” Former Browns Pro Bowl offensive lineman Joe Thomas criticized Rudolph and the Steelers for taking way too long to release a statement that was inaccurate.
Even if you feel Rudolph caused the entire altercation by attempting to remove Garrett’s helmet, it was Garrett who ultimately took it to the next level by swinging that helmet and getting himself suspended for the rest of the 2019 season.
It was a terrible moment I’m sure both parties would like to move on from.


Downloading and processing files and images¶
Scrapy provides reusable item pipelines for downloading files attached to a particular item (for example, when you scrape products and also want to download their images locally). These pipelines share a bit of functionality and structure (we refer to them as media pipelines), but typically you’ll either use the Files Pipeline or the Images Pipeline.
Both pipelines implement these features:
- Avoid re-downloading media that was downloaded recently
- Specifying where to store the media (filesystem directory, Amazon S3 bucket, Google Cloud Storage bucket)
The Images Pipeline has a few extra functions for processing images:
- Convert all downloaded images to a common format (JPG) and mode (RGB)
- Thumbnail generation
- Check images width/height to make sure they meet a minimum constraint
The pipelines also keep an internal queue of those media URLs which are currently being scheduled for download, and connect those responses that arrive containing the same media to that queue. This avoids downloading the same media more than once when it’s shared by several items.
Using the Files Pipeline¶
The typical workflow, when using the FilesPipeline
goes like
this:
- In a Spider, you scrape an item and put the URLs of the desired into a
file_urls
field. - The item is returned from the spider and goes to the item pipeline.
- When the item reaches the
FilesPipeline
, the URLs in thefile_urls
field are scheduled for download using the standard Scrapy scheduler and downloader (which means the scheduler and downloader middlewares are reused), but with a higher priority, processing them before other pages are scraped. The item remains “locked” at that particular pipeline stage until the files have finish downloading (or fail for some reason). - When the files are downloaded, another field (
files
) will be populated with the results. This field will contain a list of dicts with information about the downloaded files, such as the downloaded path, the original scraped url (taken from thefile_urls
field) , and the file checksum. The files in the list of thefiles
field will retain the same order of the originalfile_urls
field. If some file failed downloading, an error will be logged and the file won’t be present in thefiles
field.
Using the Images Pipeline¶
Using the ImagesPipeline
is a lot like using the FilesPipeline
,
except the default field names used are different: you use image_urls
for
the image URLs of an item and it will populate an images
field for the information
about the downloaded images.
The advantage of using the ImagesPipeline
for image files is that you
can configure some extra functions like generating thumbnails and filtering
the images based on their size.
The Images Pipeline uses Pillow for thumbnailing and normalizing images to JPEG/RGB format, so you need to install this library in order to use it. Python Imaging Library (PIL) should also work in most cases, but it is known to cause troubles in some setups, so we recommend to use Pillow instead of PIL.
Enabling your Media Pipeline¶
To enable your media pipeline you must first add it to your project
ITEM_PIPELINES
setting.
For Images Pipeline, use:
ITEM_PIPELINES = {'scrapy.pipelines.images.ImagesPipeline': 1}
For Files Pipeline, use:
ITEM_PIPELINES = {'scrapy.pipelines.files.FilesPipeline': 1}
Note
You can also use both the Files and Images Pipeline at the same time.
Then, configure the target storage setting to a valid value that will be used
for storing the downloaded images. Otherwise the pipeline will remain disabled,
even if you include it in the ITEM_PIPELINES
setting.
For the Files Pipeline, set the FILES_STORE
setting:
FILES_STORE = '/path/to/valid/dir'
For the Images Pipeline, set the IMAGES_STORE
setting:
IMAGES_STORE = '/path/to/valid/dir'
Supported Storage¶
File system is currently the only officially supported storage, but there are also support for storing files in Amazon S3 and Google Cloud Storage.
File system storage¶
The files are stored using a SHA1 hash of their URLs for the file names.
For example, the following image URL:
http://www.example.com/image.jpg
Whose SHA1 hash is:
3afec3b4765f8f0a07b78f98c07b83f013567a0a
Will be downloaded and stored in the following file:
<IMAGES_STORE>/full/3afec3b4765f8f0a07b78f98c07b83f013567a0a.jpg
Where:
<IMAGES_STORE>
is the directory defined inIMAGES_STORE
setting for the Images Pipeline.full
is a sub-directory to separate full images from thumbnails (if used). For more info see Thumbnail generation for images.
Amazon S3 storage¶
FILES_STORE
and IMAGES_STORE
can represent an Amazon S3
bucket. Scrapy will automatically upload the files to the bucket.
For example, this is a valid IMAGES_STORE
value:
IMAGES_STORE = 's3://bucket/images'
You can modify the Access Control List (ACL) policy used for the stored files,
which is defined by the FILES_STORE_S3_ACL
and
IMAGES_STORE_S3_ACL
settings. By default, the ACL is set to
private
. To make the files publicly available use the public-read
policy:
IMAGES_STORE_S3_ACL = 'public-read'
For more information, see canned ACLs in the Amazon S3 Developer Guide.
Because Scrapy uses boto
/ botocore
internally you can also use other S3-like storages. Storages like
self-hosted Minio or s3.scality. All you need to do is set endpoint option in you Scrapy settings:
AWS_ENDPOINT_URL = 'http://minio.example.com:9000'
For self-hosting you also might feel the need not to use SSL and not to verify SSL connection:
AWS_USE_SSL = False # or True (None by default)
AWS_VERIFY = False # or True (None by default)
Google Cloud Storage¶
FILES_STORE
and IMAGES_STORE
can represent a Google Cloud Storage
bucket. Scrapy will automatically upload the files to the bucket. (requires google-cloud-storage )
For example, these are valid IMAGES_STORE
and GCS_PROJECT_ID
settings:
IMAGES_STORE = 'gs://bucket/images/'
GCS_PROJECT_ID = 'project_id'
For information about authentication, see this documentation.
You can modify the Access Control List (ACL) policy used for the stored files,
which is defined by the FILES_STORE_GCS_ACL
and
IMAGES_STORE_GCS_ACL
settings. By default, the ACL is set to
''
(empty string) which means that Cloud Storage applies the bucket’s default object ACL to the object.
To make the files publicly available use the publicRead
policy:
IMAGES_STORE_GCS_ACL = 'publicRead'
For more information, see Predefined ACLs in the Google Cloud Platform Developer Guide.
Usage example¶
In order to use a media pipeline first, enable it.
Then, if a spider returns a dict with the URLs key (file_urls
or
image_urls
, for the Files or Images Pipeline respectively), the pipeline will
put the results under respective key (files
or images
).
If you prefer to use Item
, then define a custom item with the
necessary fields, like in this example for Images Pipeline:
import scrapy
class MyItem(scrapy.Item):
# ... other item fields ...
image_urls = scrapy.Field()
images = scrapy.Field()
If you want to use another field name for the URLs key or for the results key, it is also possible to override it.
For the Files Pipeline, set FILES_URLS_FIELD
and/or
FILES_RESULT_FIELD
settings:
FILES_URLS_FIELD = 'field_name_for_your_files_urls'
FILES_RESULT_FIELD = 'field_name_for_your_processed_files'
For the Images Pipeline, set IMAGES_URLS_FIELD
and/or
IMAGES_RESULT_FIELD
settings:
IMAGES_URLS_FIELD = 'field_name_for_your_images_urls'
IMAGES_RESULT_FIELD = 'field_name_for_your_processed_images'
If you need something more complex and want to override the custom pipeline behaviour, see Extending the Media Pipelines.
If you have multiple image pipelines inheriting from ImagePipeline and you want to have different settings in different pipelines you can set setting keys preceded with uppercase name of your pipeline class. E.g. if your pipeline is called MyPipeline and you want to have custom IMAGES_URLS_FIELD you define setting MYPIPELINE_IMAGES_URLS_FIELD and your custom settings will be used.
Additional features¶
File expiration¶
The Image Pipeline avoids downloading files that were downloaded recently. To
adjust this retention delay use the FILES_EXPIRES
setting (or
IMAGES_EXPIRES
, in case of Images Pipeline), which
specifies the delay in number of days:
# 120 days of delay for files expiration
FILES_EXPIRES = 120
# 30 days of delay for images expiration
IMAGES_EXPIRES = 30
The default value for both settings is 90 days.
If you have pipeline that subclasses FilesPipeline and you’d like to have different setting for it you can set setting keys preceded by uppercase class name. E.g. given pipeline class called MyPipeline you can set setting key:
MYPIPELINE_FILES_EXPIRES = 180
and pipeline class MyPipeline will have expiration time set to 180.
Thumbnail generation for images¶
The Images Pipeline can automatically create thumbnails of the downloaded images.
In order use this feature, you must set IMAGES_THUMBS
to a dictionary
where the keys are the thumbnail names and the values are their dimensions.
For example:
IMAGES_THUMBS = {
'small': (50, 50),
'big': (270, 270),
}
When you use this feature, the Images Pipeline will create thumbnails of the each specified size with this format:
<IMAGES_STORE>/thumbs/<size_name>/<image_id>.jpg
Where:
<size_name>
is the one specified in theIMAGES_THUMBS
dictionary keys (small
,big
, etc)<image_id>
is the SHA1 hash of the image url
Example of image files stored using small
and big
thumbnail names:
<IMAGES_STORE>/full/63bbfea82b8880ed33cdb762aa11fab722a90a24.jpg
<IMAGES_STORE>/thumbs/small/63bbfea82b8880ed33cdb762aa11fab722a90a24.jpg
<IMAGES_STORE>/thumbs/big/63bbfea82b8880ed33cdb762aa11fab722a90a24.jpg
The first one is the full image, as downloaded from the site.
Filtering out small images¶
When using the Images Pipeline, you can drop images which are too small, by
specifying the minimum allowed size in the IMAGES_MIN_HEIGHT
and
IMAGES_MIN_WIDTH
settings.
For example:
IMAGES_MIN_HEIGHT = 110
IMAGES_MIN_WIDTH = 110
Note
The size constraints don’t affect thumbnail generation at all.
It is possible to set just one size constraint or both. When setting both of them, only images that satisfy both minimum sizes will be saved. For the above example, images of sizes (105 x 105) or (105 x 200) or (200 x 105) will all be dropped because at least one dimension is shorter than the constraint.
By default, there are no size constraints, so all images are processed.
Allowing redirections¶
By default media pipelines ignore redirects, i.e. an HTTP redirection to a media file URL request will mean the media download is considered failed.
To handle media redirections, set this setting to True
:
MEDIA_ALLOW_REDIRECTS = True
Extending the Media Pipelines¶
See here the methods that you can override in your custom Files Pipeline:
-
class
scrapy.pipelines.files.
FilesPipeline
¶ -
get_media_requests
(item, info)¶ As seen on the workflow, the pipeline will get the URLs of the images to download from the item. In order to do this, you can override the
get_media_requests()
method and return a Request for each file URL:def get_media_requests(self, item, info): for file_url in item['file_urls']: yield scrapy.Request(file_url)
Those requests will be processed by the pipeline and, when they have finished downloading, the results will be sent to the
item_completed()
method, as a list of 2-element tuples. Each tuple will contain(success, file_info_or_error)
where:success
is a boolean which isTrue
if the image was downloaded successfully orFalse
if it failed for some reasonfile_info_or_error
is a dict containing the following keys (if success isTrue
) or a Twisted Failure if there was a problem.url
- the url where the file was downloaded from. This is the url of the request returned from theget_media_requests()
method.path
- the path (relative toFILES_STORE
) where the file was storedchecksum
- a MD5 hash of the image contents
The list of tuples received by
item_completed()
is guaranteed to retain the same order of the requests returned from theget_media_requests()
method.Here’s a typical value of the
results
argument:[(True, {'checksum': '2b00042f7481c7b056c4b410d28f33cf', 'path': 'full/0a79c461a4062ac383dc4fade7bc09f1384a3910.jpg', 'url': 'http://www.example.com/files/product1.pdf'}), (False, Failure(...))]
By default the
get_media_requests()
method returnsNone
which means there are no files to download for the item.
-
item_completed
(results, item, info)¶ The
FilesPipeline.item_completed()
method called when all file requests for a single item have completed (either finished downloading, or failed for some reason).The
item_completed()
method must return the output that will be sent to subsequent item pipeline stages, so you must return (or drop) the item, as you would in any pipeline.Here is an example of the
item_completed()
method where we store the downloaded file paths (passed in results) in thefile_paths
item field, and we drop the item if it doesn’t contain any files:from scrapy.exceptions import DropItem def item_completed(self, results, item, info): file_paths = [x['path'] for ok, x in results if ok] if not file_paths: raise DropItem("Item contains no files") item['file_paths'] = file_paths return item
By default, the
item_completed()
method returns the item.
-
See here the methods that you can override in your custom Images Pipeline:
-
class
scrapy.pipelines.images.
ImagesPipeline
¶ - The
ImagesPipeline
is an extension of theFilesPipeline
, customizing the field names and adding custom behavior for images.-
get_media_requests
(item, info)¶ Works the same way as
FilesPipeline.get_media_requests()
method, but using a different field name for image urls.Must return a Request for each image URL.
-
item_completed
(results, item, info)¶ The
ImagesPipeline.item_completed()
method is called when all image requests for a single item have completed (either finished downloading, or failed for some reason).Works the same way as
FilesPipeline.item_completed()
method, but using a different field names for storing image downloading results.By default, the
item_completed()
method returns the item.
-
Custom Images pipeline example¶
Here is a full example of the Images Pipeline whose methods are examplified above:
import scrapy
from scrapy.pipelines.images import ImagesPipeline
from scrapy.exceptions import DropItem
class MyImagesPipeline(ImagesPipeline):
def get_media_requests(self, item, info):
for image_url in item['image_urls']:
yield scrapy.Request(image_url)
def item_completed(self, results, item, info):
image_paths = [x['path'] for ok, x in results if ok]
if not image_paths:
raise DropItem("Item contains no images")
item['image_paths'] = image_paths
return item


6
Prolog must be able to handle arithmetic in order to be a useful general purpose programming language. However, arithmetic does not fit nicely into the logical scheme of things.
That is, the concept of evaluating an arithmetic expression is in contrast to the straight pattern matching we have seen so far. For this reason, Prolog provides the built-in predicate 'is' that evaluates arithmetic expressions. Its syntax calls for the use of operators, which will be described in more detail in chapter 12.
X is <arithmetic expression>
The variable X is set to the value of the arithmetic expression. On backtracking it is unassigned.
The arithmetic expression looks like an arithmetic expression in any other programming language.
Here is how to use Prolog as a calculator.
?- X is 2 + 2. X = 4 ?- X is 3 * 4 + 2. X = 14
Parentheses clarify precedence.
?- X is 3 * (4 + 2). X = 18 ?- X is (8 / 4) / 2. X = 1
In addition to 'is,' Prolog provides a number of operators that compare two numbers. These include 'greater than', 'less than', 'greater or equal than', and 'less or equal than.' They behave more logically, and succeed or fail according to whether the comparison is true or false. Notice the order of the symbols in the greater or equal than and less than or equal operators. They are specifically constructed not to look like an arrow, so that you can use arrow symbols in your programs without confusion.
 X is 2 + 2, X > 3. X = 4 ?- X is 2 + 2, 3 >= X. no ?- 3+4 > 3*2. yes
They can be used in rules as well. Here are two example predicates. One converts centigrade temperatures to Fahrenheit, the other checks if a temperature is below freezing.
c_to_f(C,F) :- F is C * 9 / 5 + 32. freezing(F) :- F =< 32.
Here are some examples of their use.
?- c_to_f(100,X). X = 212 yes ?- freezing(15). yes ?- freezing(45). no
1- Write a predicate valid_order/3 that checks whether a customer order is valid. The arguments should be customer, item, and quantity. The predicate should succeed only if the customer is a valid customer with a good credit rating, the item is in stock, and the quantity ordered is less than the quantity in stock.
2- Write a reorder/1 predicate which checks inventory levels in the inventory record against the reorder quantity in the item record. It should write a message indicating whether or not it's time to reorder.
Copyright ©1990,1996-97, 2004 Amzi! inc. All Rights Reserved


Rashford explains how Greenwood and Williams personify Man Utd
Mason Greenwood and Brandon Williams both scored for Manchester United on Sunday and their attacking intentions epitomise what the club is about, according to Marcus Rashford.
The Red Devils found themselves 2-0 behind against Sheffield United in the Premier League before Williams, Greenwood and then Rashford scored to give them an unlikely lead.
A late Oli McBurnie goal saw the spoils shared at Bramall Lane, which was the least the South Yorkshire side deserved after dominating much of the match.
Rashford is thoroughly impressed with his fellow academy graduates and how they play the ‘Man Utd way’ although saying that full-back Williams only knows how to attack may be damning with faint praise.
‘For Brandon, he has done brilliantly since he’s come up with us and obviously for Mason, for any forward, it’s beautiful to score a goal,’ Rashford told MUTV.

The draw leaves Manchester United ninth in the Premier League with just four wins from their opening 13 games in the competition this season.
The Red Devils have not won back-to-back Premier League games since 3 March and are really struggling to find any consistency under Ole Gunnar Solskjaer.
Goalkeeper David de Gea was to thank for the score only being 1-0 to the Blades at half-time on Saturday in an appalling first half display from the Red Devils, which Rashford admits was unacceptable.
‘We know that we didn’t play well enough in the first half,’ said the striker.
‘But we managed to find it inside us to get back into the game and get in a good, strong position in the game.
‘It’s important that we understand the bigger picture and the current situation we’re in and to show the fight that we did today.
‘Credit to the team and to the manager and to the fans, it was a good spell to get back into the game.’
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Solskjaer could not defend his team’s first half performance, although he was keen to point out that it was not his tactics that were to blame.
‘I was angry, disappointed, you had to wake them up,’ Solskjaer said. ‘You had to do something about it. I could have changed every player at half-time, apart from the keeper.
‘It wasn’t about tactics. It was about the desire first half, getting first to the ball, tackling, winning challenges. Sometimes tactics go out of the window.
‘You have to earn the right to win a game and we didn’t have any right to win the game after 70 minutes. We were nowhere near a Man United team.’
United are back in Europa League action on Thursday away to Astana before hosting Aston Villa in the Premier League on Sunday.


--- title: 'HTML for Poets: Some simple magic' tags: [ computers, html, web ] picture: technonerdmonster music: mood: didactic location: Somewhere in cyberspace posted: Tue Jun 19 16:26:54 PDT 2018 layout: post ---
Here are a couple of little tricks that may keep you from tearing your hair out in frustration, and in any case will make your posts look better.
Tip the first: Make beautiful poetry with no effort.
There are two obvious ways to post poetry: enclose it in

...

tags (which tells the browser that
it's preformatted, so it should leave your line breaks alone), or
tediously add a line break tag --

-- to the end of
every line. Unfortunately, preformatted text uses a monospaced font,
which is great for code and concrete poetry,
but really doesn't look very good. And adding line breaks is just
tedious.
There is a third way: use

to wrap your poem.

This tells your browser to keep spaces and line breaks the way you want them, but continue using the same font as the rest of your page.
There's one subtlety: that start tag is pretty long, but if you start your poem on the following line there will be an annoying extra blank line at the top. So do what I did up there, and start a new line before the >. It turns out that you can replace spaces with newlines anywhere outside of quotes.
That brings me to the next tip:
Tip the Second: Don't let your word processor try to help.
A lot of people compose their blog posts using a word processor, and paste them into the "post" form. If you don't, and aren't using some kind of posting client that lets you save your work any time you want to, you should. Especially if you have cats. But there's a problem. Word processors want to help you create great-looking documents. And that's a problem if you're trying to write HTML.
One thing word processors may try to do is to replace all your quotation marks with “curly” quotes (also called “smart” quotes), instead of using "straight" quotes. That's great except for when you're trying to enter a link, or one of style attributes I just showed you up above. A browser won't recognize them. So instead of
this
you get
this
See the difference? You may have to zoom in a little. Hover over the
links. You'll see that your browser thinks that it's looking at a local
link, because it doesn't start with https://
, it starts with
“https://
! Oops!
Another thing I've seen word processors and some other programs do is,
behind your back, replace "<
" and ">
"
characters with "<
" and ">
".
Those weird things are called "character entities", and they're HTML's way
of forcing the browser to show something that looks like
"<
" without letting it interpret it as part of a
tag. That probably isn't what you wanted, unless you're trying to write
math inequalities or an article about how to write HTML.
Yet another problem happens because word processors use proportional spacing, so that your post looks to you the way it's going to look in a browser, more or less. The problem happens because some characters are really small in proportional-spaced fonts, so it's hard to select exactly the text you wanted to, and easy to overlook stray spaces and periods if they get pasted into your links by mistake.
That's why programmers use text editors with fixed-width fonts, and rely on programs like web browsers and LaTeX to make their pages look good when you read or print them.
By the way, I did a little searching and found The Mandelbear's Rough Guide to HTML, from back in 2006. It's still mostly good advice.


I am currently pursuing the Segal Design certificate at Northwestern University and employ the use of Design Thinking and Doing in all my projects.
Majoring in Computer Science, I write code in several languages, in both backend and frontend. I also play with Arduinos and am fascinated by IoT.
I am always eager to try new things and exploring endless opportunities. This applies in both my professional life and personal lifestyle.
I spent twelve years in St. Andrew’s (from primary
school to junior college) and am currently an undergrad in NTU.
I play soccer on the weekends with my friends in an amateur league.
I enjoy being outdoors, camping, hiking, kayaking and cycling.
I like to dance and have lots of fun!
I love hanging out and spending time with my friends and family.
I live very closely to my values and believe that everything happens for a reason.
One day, I want to be at the forefront where education meets technology.
Oh, and I love F.R.I.E.N.D.S.


Shaw brings Amazon Prime Video app to BlueCurve TV
Watch The Marvelous Mrs. Maisel through the BlueCurve TV app
by Bradly ShankarShaw has launched the Amazon Prime Video app on its BlueCurve TV platform.
With BlueCurve TV, Shaw customers can watch live television on their smartphone or tablet. The app also allows for media to be downloaded and watched offline.
Now, the Prime Video app has been integrated into BlueCurve TV, so users can watch and download Amazon’s movies and shows alongside BlueCurve’s other content.
BlueCurve TV is available on Android, iOS and the web.
Shaw isn’t the only carrier to have recently added Amazon Prime Video to one of its platforms. Earlier this week, Rogers also launched a Prime Video app on Ignite TV.


| Class and Description |
|---|
| PrivateKeyInfo |
| Class and Description |
|---|
| Attribute |
| CertificationRequest
PKCS10 Certification request object.
|
| CertificationRequestInfo
PKCS10 CertificationRequestInfo object.
|
| ContentInfo |
| EncryptedData
The EncryptedData object.
|
| EncryptedPrivateKeyInfo |
| EncryptionScheme |
| IssuerAndSerialNumber |
| KeyDerivationFunc |
| MacData |
| PBEParameter |
| PBES2Parameters |
| PBKDF2Params |
| PKCS12PBEParams |
| PKCSObjectIdentifiers |
| PrivateKeyInfo |
| RC2CBCParameter |
| RSAESOAEPparams |
| RSAPrivateKeyStructure |
| RSASSAPSSparams |
| SignedData
a PKCS#7 signed data object.
|
| SignerInfo
a PKCS#7 signer info object.
|
| Class and Description |
|---|
| PKCSObjectIdentifiers |
| Class and Description |
|---|
| PrivateKeyInfo |
| Class and Description |
|---|
| PrivateKeyInfo |
| Class and Description |
|---|
| CertificationRequest
PKCS10 Certification request object.
|
| Class and Description |
|---|
| PKCS12PBEParams |
| PKCSObjectIdentifiers |
| Class and Description |
|---|
| PKCSObjectIdentifiers |
| Class and Description |
|---|
| Attribute |
| CertificationRequest
PKCS10 Certification request object.
|
| EncryptedPrivateKeyInfo |
| PrivateKeyInfo |
| Class and Description |
|---|
| CertificationRequest
PKCS10 Certification request object.
|
Copyright © 2015. All rights reserved.


Parsing Expression
Grammar
Learn by
doing
Write parsing expression grammers on the left, visualize the result on the right.
Update
Update
this is where the output would show ..
uses a script, perhaps like this one.