MISSY J can get it right. She only just needed it last time at Scottsville and has the best of the draw here. COLDHARDCASH is bred to be speedy and showed some potential against some high class individuals in a Barrier Trial. If he improves on that he could be the one to catch. AMITIEL made up a bit of ground in her Trial and has scope for further improvement as well.
HARTLEYTWO is improving nicely. He switched from poly to turf and enjoyed the longer trip when running on well into third in his second start. TIGER'S BOND was just behind him in that and made further improvement when tried with blinkers last time. He could get closer. RUMBLEINTHEJUNGLE showed potential earlier. Has been gelded and could come out firing. CHAYCHNA has scope.
CAN YOU FEEL IT has high class form and boasts a remarkable merit rating of 98 in this maiden field. She has run well on both surfaces and was speedy finishing well ahead of a seasoned sprinter last time. Should be tough to beat. All of ISLA MORADA, MY WISH, PRIMARY, AFRICAN ANGEL and HIT THE GAS can show enough to be in the money.
Lovely race. LONDON CALL is best weighted and has won at this course even though a Scottsville specialist. But SUNSET EYES did finish well ahead of him in a Grade 1 there and if ready after rest could win this. LONDON CALL has the better draw. It doesn't end there as WYNKELDER dominated LONDON CALL last time but needs to get going sooner here. TWICE AS SMART is capable.
DOUBLE 'O' EIGHT has been a joy for her connections. She is unbeaten on the turf and could fend off a rise in merit ratings and visit the winner's enclosure again. She won a nice race last time. But after her it is wide open. CONNECT ME again showed some good quality and if overcoming her draw can prove a threat. LA BELLA impressed at Scottsville. SHWANKY is quick on her day.
SEVENTH SON looks well placed on his Greyville turf debut here. He ran a fair race in a strong event and now has a 4kg claiming apprentice to boost his chances. Must go close. PANZA showed up when supported last time. If he can repeat on the turf he will have a big say. ROYALSECURITYPOWER is dangerous on his day. Just needs to find a little more to win. More in it.
AMERICAN LANDING goes over what looks an ideal trip. He has plenty ability but needs to prove himself as this is an acid test. ROY HAD ENOUGH just needed it last time and is expected to come on nicely and challenge AMERICAN LANDING this time. SABINA'S DYNASTY showed last time but needs to improve on her previous Greyville runs. MARCHINGONTOGETHER is an improving youngster.
CLOUDS OF WITNESS is coming along nicely. He is the form choice but races at Greyville first time and has not drawn ideally. KENTUCKY SPUR showed potential in his second start and could show more over the longer trip. VICTORIOUS MOON was an interesting type as a juvenile and if stays could be in the firing line. KING'S COVE and FIRE ISLAND need to be considered as well.


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Гідрографічна мережа Закарпатської області складається зі 152 річок, завдовжки понад 10 км кожна. Всі вони належать до басейну Тиси (ліва притока Дунаю), що протікає вздовж південної межі області. Найбільші її притоки в межах області — Тересва, Теребля, Ріка, Боржава. До басейну Тиси належать ще дві великі річки Закарпаття — Латориця і Уж.

Більшість річок області протікають серед хребтів та гір Українських Карпат, тому належить до річок гірського типу. Річки, які виходять на Закарпатську низовину, у нижній течії мають ознаки рівнинних річок.

Екологічний стан
Загалом екологічний стан річок Закарпаття задовільний. Виняток становлять річки, що протікають у межах великих сіл або міст чи впритул до авто- або залізничних магістралей.

Перелік річок за сточищем
Усі річки Закарпатської області належать до сточище Дунаю, та його лівої притоки Тиси.
Тиса:
 Чорна Тиса — права
 Апшинець — права
 Труфанець — права
 Лазещина — ліва
 Біла Тиса — ліва
 Богдан — права
 Квасний — ліва
 Сільський Потік — ліва
 Білий — ліва
 Косівська — права
 Шопурка — права
 Мала Шопурка — права
 Середня Ріка — ліва
 Апшиця — права
 Глибокий Потік — права
 Тересва — права
 Мокрянка — права
 Брустурянка — ліва
 Бертянка — права
 Турбат — ліва
 Яблуниця — ліва
 Терешілка — права
 Лужанка — права
 Тячівець — права
 Теребля — права
 Слобода — права
 Озерянка (Чорна Річка) — ліва
 Сухар — ліва
 Велика Уголька — ліва
 Мала Уголька — права
 Одаровець — права
 Байлова — права
 Помийниця — ліва
 Хустець — права
 Ріка — права
 Присліп — права
 Рипинка — права
 Батар — ліва
 Боржава — права
 Іршавка — права
 Синявка — ліва
 Салва — ліва
 Чорна Вода — права
 (Бодрог) — права, у межах Словаччини
 Латориця — ліва притока Бодрогу
 Жденівка — права
 Вича — ліва
 Волівчик — права
 Дусинка — ліва
 Пиня — права
 Велика Пиня — права
 Мала Пиня — ліва
 Матекова — права
 Обава — права
 Визниця — права
 Серня — ліва
 Вирка — ліва
 Стара — права
 В'єла — права
 (Лаборець) — права притока Латориці, в межах Словаччини
 Уж — ліва притока Лаборцю
 Уг — права
 Улічка — права
 Убля — права
 Лютянка — ліва
 Бачава — ліва
 Тур'я — ліва
 Шипіт — права
 Звір — права
 Туриця — права
 Сімерки — права

Література

 Каталог річок України. / Швець Г. І. — К.: Видавництво Академії наук Української РСР, 1957. — 192 с.
  Ресурсы поверхностных вод СССР: Гидрологическая изученность. Том 6. Украина и Молдавия. Выпуск 1. Западная Украина и Молдавия / Под ред. Б. М. Штейнгольца. — Л.: Гидрометеоиздат, 1964. — 245 с.

Тиса
Закарпатська

redpajama_set_name: RedPajamaWikipedia


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Home World - World - Western Hemisphere - Eastern Hemisphere - Polar Projection - Celestial - Atlantic Ocean - Indian Ocean - Pacific Ocean The Americas - North America - Canada - United States - U.S. East - U.S. South - U.S. Midwest - U.S. Central - U.S. Rockies - U.S. West - Alaska & Hawaii - Mexico - Caribbean - Central America - South America Europe - Europe - North Atlantic - British Isles - Scandinavia - Western Europe - Central Europe - Southern Europe - Eastern Europe Africa - Africa - Northern Africa - West Africa - Central Africa - Southern Africa Asia - Asia - West Asia - Central Asia - Southern Asia - Southeast Asia - East Asia - Northern Asia Oceania - Oceania - Australia - New Zealand - Other Islands New Inventory & More - New Inventory - Discounted Maps - $250 and Under - Make an Offer - Archive of Sold Maps Antique Map of the South Pacific by John Thomson 1817 : nwcartographic.com Your cart (0)
Home > Products > 1817 Map of the Islands in the Pacific
1817 Map of the Islands in the Pacific
By: John Thomson
Date: 1817 (published) Edinburgh
Dimensions: 19.75 x 23.5 inches (50 x 59.5 cm)
This is a spectacular map of the Pacific and its islands from the early part of the 19th century.
Centered on the Equator, the map expands from east New Hollands (Australia) to the Sandwich (Hawaiian) Islands, including the Marianas, Friendly Islands (Tonga), Caroline, Solomon, and Society Islands within. Four insets show Owhynee (the Big Island of Hawaii), Karakakooa Bay, Otaheite (Tahiti), and Matavia Bay. All insets include a compass rose for orientation and they two insets of bays are detailed with depth soundings.
John Thomson (1777-1840) was a Scottish cartographer based out of Edinburgh who is most well-known for his 1817 New General Atlas. This monumental work provided maps of great detail for nearly every country and island across the world. While other map makers would fill empty and unknown spaces with vignettes and geographical assumptions, Thompson elected to leave such spaces void of any uncertain cartography.
Condition: This map is in A condition with original color on heavy paper and full margins.

redpajama_set_name: RedPajamaCommonCrawl


Not, here. Not with Chefs for Kids. You, our community, are all honorary cooks. Without teamwork we would not be able to produce our dream work.
Our team is filled with amazing chefs, educators, volunteers and donors, and organizations all willing to jump in and help cook-up an amazing Chefs for Kids program year after year.
The tradition continues. Thank you for the support!


S. cerevisiae • cerevisiae Merlot, Zinfandel, Sangiovese, Barbera, Cabernet Franc, Petite Sirah, Structured Reds Isolated from a vineyard in the Côtes du Rhône in France. Lalvin Rhône 2226™ is alcohol tolerant up to 16–17% (v/v) and is recommended for high Brix reds. Characterized by aromas of black cherry, berry and cherry cola in red wines. Can be used to restart stuck or sluggish fermentations.


I took the kids to a local park that has some great hiking trails.
We packed our lunch and water and took off.
It took us over two hours to do this particular trail and by the end of it we had collected feathers, rocks and flowers. We saw three different tracks of wild animals and felt like we were away from it all.
As a mom I want to feel like I'm teaching my kids to love nature and to be able to finish something. When I put them at the beginning of a trail and say "we're going till the end"
Cooper had to help his sister climb over trees etc..
Could we experience nature at home? Yes, we can (and do) but there on the trail the kids had my undivided attention.
No distractions, just us and nature.
Next week we planned a hike that ends up in a cool spring so the reward will be refreshing.
Take a hike see if your kids don't love it.
You do not know me and I have never written before. But, I needed to tell you what an encouragment you have been to me.
You see, I lost my precious Hannah 2 days after you lost Willie. Her funeral was the day after his. She was 3 weeks old when she stopped breathing.
I've never had this much pain before. I don't know how to handle it sometimes. My life has been very easy up until now. I was always a happy and joyful person. Now I'm not.
My sister showed me your friend's blog with your funeral video on it a couple of weeks ago, and I have been reading your blog ever since.
You have been such an encouragment to me. It helps knowing that I am not alone in my suffering, and neither are you. Thank you for sharing your life with me. You are truly a blessing to me.


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Orrick Advises Gap on $2.25 Billion Notes Offering and $1.8 Billion ABL Credit Facility
May.07.2020
Orrick has advised global retailer Gap Inc. on a $2.25 billion offering of senior secured notes –$500 million of 8.375% notes due 2023, $750 million of 8.625% notes due 2025 and $1 billion of 8.875% notes due 2027 and a new a $1.868 billion asset-based revolving credit facility.
A portion of the proceeds of the notes were used to redeem a previously issued $1.25 billion unsecured notes due April 2021 and to refinance all outstanding amounts under Gap's existing $500 million, five-year, unsecured revolving credit facility, which was scheduled to expire in May 2023. This new capital structure will set the company up to navigate the current economic crisis well. The offering closed on May 7.
The Orrick team advising Gap was led by Brett Cooper and Dolph Hellman, and included Bill Haft, Lynne Hirata, Kenneth Marx, Kelly Mink, Kelsey Kummer, Stephanie Hsu, Chris Chavez, Mark Nguyen, James Larkin, Steven Malvey and Thomas Mitchell.
Related Lawyers
Brett Cooper Partner, Capital Markets, Debt Capital Markets
Transactions Sector
Brett Cooper Partner Capital Markets, Debt Capital Markets
Brett E. Cooper is a partner in the San Francisco office, and a member of the Capital Markets Group. He has over 20 years' experience in corporate finance, securities law, mergers and acquisitions and general corporate matters.
In the corporate finance and securities areas, his experience includes a range of public and private equity and debt financings, representing U.S., Canadian, European and Asian issuers and underwriters. His transactions have included over one hundred SEC registered and Rule 144A public offerings of securities, ranging from investment grade and high yield debt offerings, convertible note offerings, initial public offerings, follow-on equity offerings and preferred securities offerings, venture capital financings and issuer tender offers.
In the mergers and acquisitions area, Brett has represented clients in all aspects of mergers and acquisitions transactions involving public and private companies, including friendly mergers, leveraged recapitalizations, tender offers, spin-offs, restructurings and purchases and sales of divisions and subsidiaries.
Dolph Hellman Partner, Mergers & Acquisitions, Banking & Finance
Blockchain and Virtual Currency
Dolph Hellman Partner Mergers & Acquisitions, Banking & Finance
Dolph Hellman, a leading fund formation and commercial finance lawyer in the San Francisco office, is the Co-Chair of the firm's Private Investment Funds Group and a member of the firm's Corporate Department.
Dolph concentrates his sophisticated practice on private equity investor representation and fund formation as well as representing financial institutions and corporations in privately negotiated debt transactions. Dolph counsels some of the largest public pension plans in the United States and other institutional investors and helps them achieve their business goals with respect to various U.S.-based and international alternative investments (including funds focused on real estate, buy-out, venture capital and mezzanine investment opportunities) as well as sponsors in fund formation.
In addition, Dolph has a broad range of experience in commercial lending transactions, including secured financings, unsecured and asset-based financings, vendor and customer financings, subscription credit facilities, project financing, venture debt financings, letters of credit, receivables purchase financings and leasing. Dolph's clients include various financial institutions, Fortune 500 companies and numerous start-up companies (the latter group of which he represents in dozens of venture debt financing transactions each year for which he is recognized as one of the leading company-side counsel in the San Francisco Bay Area).
Bay Area: San Francisco and Silicon Valley


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Ahh Super Rugby, you are back!
It has been nearly four weeks since the last game and I for one, am itching to see what will happen in these last three rounds. It is like watching a TV series that ends on a cliff hanger and now we will finally get to see what happens to our favourite characters, unless that TV series is 'Lost' in which case things will just get more confusing and they never will properly explain the strange mist on the island.
Was it me or did they just introduce more random things to distract people from the other random things that made no sense in the first place? Either way we did get to watch Evangeline Lill every week, so all is forgiven, but I digress…
We have just three more weeks of action to go and some critical games coming up. A few teams are having a bye this week, which is a strange one, seeing as they have just come off nearly a month's break but I do not pretend to understand anything SANZAR does so let's instead move swiftly along to the first three games this weekend.
Super Rugby Round 16, Friday 29 June 2012
Highlanders vs Chiefs
The Highlanders started the tournament well but had a bit of a slump and are now sitting mid table and will struggle to make the play-offs. They have two games left, one against the Chiefs this week and then away to the Reds in their final game. Adam Thomson recently played a key role in the All Black's series win over Ireland and will be keen on more rampaging runs for his home union as they play in this must win home game.
The Chiefs have received the good news that flyhalf Aaron Cruden is fully fit for this encounter after leaving the field 25 mins after starting for the All Blacks last Sat. He was at his best in that short time and set up four of their first half tries. Sonny Boxer Williams is another that shone for the ABs and is playing his best season of rugby union everrr. It is never easy playing in Dunedin but I reckon the Chiefs have too many class players in form and will take this one to make sure of a place in the play-offs.
Venue: Forsyth Barr Stadium, Dunedin
Kick-Off: Fri, 9:35am
Highlanders vs Chiefs Prediction: Chiefs by 5-10
Rebels vs Reds
Another Aussie derby game, set interest levels to 'meh'. The Rebels will be more competitive if Kurtley Tache Beale plays but otherwise will struggle against a Reds side that was building up impressive momentum before the break. The Rebels have recently lost the services of flank Michael Lipman, after he decided to follow his doctor's orders and call it a day after some 30 or so career concussions. Sheesh, well done for carrying on this long, buddy.
The Reds are without captain James Horwill for the rest of the season and will be banking on Quade burglar Cooper and Will Genia to get them the three vital wins they need to push for a play-off spot. It is often a tricky situation for visiting sides at AAMI Park and the Rebels will be coming out all gun blazing with nothing to lose, except the game…which they will lose.
Venue: AAMI Park, Melbourne
Kick-Off: 11:40am
Rebels vs Reds Prediction: Reds by 7-15
Crusaders vs Hurricanes
The Hurricanes have had a strange season so far. They have done better than most expected and have found ways of scoring with very little possession or territory of their own, which reminds me of myself during my University days… I thank you.
Conrad Smith has revelled in the captaincy role and was in top form recently for the All Blacks. Flyhalf Beauden Barrett recently won his first All Black cap and he like the rest of the Canes will be up for this game, especially as they are currently sitting at sixth on the combined log.
The Crusaders will be without Dan the man Carter but were without him for half of the tournament anyway. Richie McCaw played himself into some form against Ireland and will perhaps move to 8th man for this game with Kieran Read still out injured. It is hard to bet against the Crusaders ever but specifically when they are at home and should win this to move up to second on the log, although perhaps just for a few hours.
Venue: AMI Stadium, Christchurch
Kick-Off: Sat, 9:35am
Crusaders vs Hurricanes Prediction: Crusaders by 5-10
rennton
~ by bowlphilosophy on June 27, 2012.


A meme on the Facebook page of the Colorado Jewish Republicans: bigotry or just provocation?
"…it's all in the eye of the beholder … to me, Drumpf appears, impulsive, deceptive, dangerous & stoooooopid….
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Say "prefabricated" or "modular" housing and you might think of small, rectangular homes built in a factory and hauled down the highway on massive trailers. However, that isn't the tip of the iceberg of what these terms mean today.
This is the first a three-part series that will consider alternatives to the way many contractors approach a home building project. We start by examining the three major factors that might impact the way Canadian homes will be built in the near future.


Max teleported Scuzzball outside of time and space here.
Spargo took Ricky off to do a lot of drugs here; Ricky OD'ed and transcended this mortal world here. Check that second one out; it's maaaaaaybe my best looking page of Fuzzball & Scuzzball.
NEXT WEEK: Scuzzball & Ricky!
TWO WEEKS FROM NOW: Fuzzball & Scuzzball, together again! Brought to you by Connor and French, also together again! Miss it not!


Designed For Music Lovers Who Don't Sacrifice Sound For Style, UrBeats Deliver Pure Audio In An Ultra-Lightweight, Colorful Package. Metallic, Radial Etching On The Housing Adds High-End Style, While Keeping Them Incredibly Durable. Drenched In Color, From The Matching Earbud And Tangle-Free Cable Down To The Storage Pouch, The New UrBeats Come In This Fall's Hottest Hues.
The new intra-channel headset UrBeats Wireless is a bright, powerful and full stereo sound and the convenience of wireless communication laid in microtechnologies. Vacuum Bluetooth headphones, they are also droplets, are convenient in that they reliably hold in the ear passage thanks to soft rubber inserts (you can choose the right size), as well as light weight miniature headphones. This headset can be recommended to people with an active lifestyle and for sports. Due to their compact size, these headphones absolutely will not spoil your image, and even more will be emphasized by its stylish, expensive and modern design.
UrBeats Wireless will please you with its ability to receive incoming calls and manage a smartphone or tablet remotely. To do this, the wire is a small remote with a built-in microphone. You can easily adjust the volume, switch tracks, stop music and receive calls. You will be pleasantly surprised by the time that headphones work from one charge with an incredibly small battery size. Wireless Bluetooth 4.0 will provide a reliable connection to any mobile device supporting the Bluetooth. The model is presented in several popular colors to choose from.


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Tag: Marcel Reece
Woodson, Raiders prep for Chargers in home finale
Published on December 22, 2015 December 22, 2015 by jhawkes51Leave a comment
By Joe Hawkes-Beamon
photo credit: KCRA TV Oakland Raiders safety Charles Woodson
OAKLAND — When Raiders safety Charles Woodson announced his retirement on Monday from the game of football after an illustrious 18-year career, it came as a shock since Woodson has been playing at high level for the Raiders this season.
On Tuesday, Woodson, along with linebacker Khalil Mack, and fullback Marcel Reece were selected to the Pro Bowl, as announced on the NFL Network during the network's annual selection show.
Quarterback Derek Carr, rookie wide receiver Amari Cooper, and running back Latavius Murray are heading to Honolulu as well on Jan. 31, 2016 after being selected as Pro Bowl alternates for the first time in their young careers.
It marks the ninth time that Woodson has been voted to the Pro Bowl, while Reece is making his fourth-straight team, and Mack being voted to his first.
Woodson is a viable lock for a spot in Canton once the five-year waiting period is over.
When the Raiders host the Chargers (4-10) on Thursday in Oakland's last home game (possibly in Oakland, but don't lose hope), Raider Nation will have one more opportunity to see one of the greatest defensive players (at any position) in the NFL.
The former fourth overall pick in the 1998 NFL Draft will no doubt receive the loudest ovation from the expected sellout crowd on Christmas Eve.
Oakland (6-8) dropped their last home game to the visiting Green Bay Packers 30-20 on Sunday eliminating the Silver and Black from playoff contention for the 13th straight season.
The Chargers (4-10), defeated the Miami Dolphins 30-14 in what many believe was the final game in San Diego for quarterback Philip Rivers and Co.
Rivers passed for three touchdowns (one interception), all to running back Danny Woodhead.
Woodhead added a rushing touchdown, giving him four total for the game.
Oakland and San Diego have been rumored, along with the St. Louis Rams as teams that are planning to relocate to Los Angeles next season.
Categories NFL, Oakland Raiders•Tags Amari Cooper, Charles Woodson, Danny Woodhead, Khalil Mack, Latavius Murray, LOS ANGELES, Marcel Reece, Pro Bowl, San Diego Chargers
Raiders head to Mile High for regular season finale
Follow Joe on twitter @JLHB510
OAKLAND — After dispatching the visiting Buffalo Bills 26-24 at O.co Coliseum in Week 16 behind two touchdown passes from rookie quarterback Derek Carr and four field goals from Sebastian Janikowski and extending the Bills playoff drought to 15 years, the Raiders travel to Denver Sunday to take on the AFC West champion Broncos in both team's regular season finale.
Oakland (3-12) dominated the time of possession over the Bills (8-7), 33:47 to 26:13, and rushing yards, 140 to 13.
After starting the season 0-10, the Raiders are 3-2 in their last five games with victories over Kansas City, San Francisco, and now, Buffalo.
"I can't say enough good things about this team," interim coach Tony Sparano said. "I love the guys in that locker room. They're fighters. Anytime somebody counts them out, they bounce back. It's a great sign of character."
Defensively, Oakland got key contributions from middle linebacker Miles Burris, who recorded a team-high nine tackles (4 solo) and cornerback D.J. Hayden, who had six tackles.
With Oakland trailing Buffalo, 7-0 in the second quarter behind Bills rookie wide receiver Sammy Watkins' 42-yard touchdown catch in the first quarter and Buffalo driving into Oakland's territory, veteran safety Charles Woodson out-muscled Bills tight end Scott Chandler for the ball to record his 60th career interception. Woodson's interception, proved to be the play that provided Oakland with the momentum to carry them through the rest of the game.
"This team has never really gotten down to the point where we were ready to give up," safety Woodson said. "It's always been an upbeat attitude with the guys on the team, and it shows out there each week."
There is no doubt that Woodson has played at high level this year at age 38, leading the team in tackles (106) and interceptions (4), to go along with eight pass defensed and a sack.
Woodson, along with rookie linebacker Khalil Mack (tied for the team lead with four sacks), were named as alternates in the upcoming Pro Bowl. According to Pro Football Focus, Mack rates as the the best 4-3 outside linebacker in the NFL.
Fullback Marcel Reece was named a starter for the Pro Bowl, his third overall.
Denver is coming off gut-punching 37-28 loss in Cincinnati before a national televised audience where quarterback Peyton Manning threw a season-high four interceptions.
"I shouldn't have thrown it," said Manning, who was 28 of 44 for 311 yards with two touchdowns. "Four interceptions, you're not going to beat many good football teams."
With the loss, Denver (11-4) are locked in as the No. 2 seed as New England wrapped up home-field advantage throughout the AFC Playoffs. Denver also failed to clinch a first-round bye.
Oakland, QB, Derek Carr
There is no doubt that Carr is the Raiders' quarterback of the future, and his play has definitely gotten better as the season gone on. Carr leads all rookie quarterbacks in passing yards (3,112) and touchdown passes (20). If it weren't for Cincinnati rookie running back Jeremy Hill (199 carries, 1,024 rushing yards, 9 TDs) and New York Giants' rookie wide receiver Odell Beckham Jr. (79 catches, 1,120 receiving yards, 11 TDs) Carr would be walking away with the NFL Rookie of the Year award.
Denver, QB, Peyton Manning
Manning appeared mortal against Cincinnati with his season-high four interceptions, prompting many pundits to question whether Manning was injured. The Bengals was up in the future Hall of Famer's grill, confusing Manning with an array of pressuring blitzes and knocking him down throughout the game. Rarely does Manning play poorly in back-to-back weeks and with the playoffs just one week away, one will expect Manning to have a bounce back performance. In Denver's 41-17 demolishing over Oakland in Week 10, Manning threw for 340 and five touchdowns.
Categories Oakland Raiders, Uncategorized•Tags Charles Woodson, Derek Carr, Jeremy Hill, Khalil Mack, Marcel Reece, Odell Beckham Jr., Peyton Manning, Sebastian Janikowski
Raiders return home for Week 15 tilt with Chiefs
By. Joe Hawkes-Beamon
OAKLAND — Home is where the heart is and the Oakland Raiders are in dire need of some good fortune.
After a two game road trip, Oakland return to the familiar surroundings of O.co Coliseum when they'll host their bitter rival the Kansas City Chiefs in Week 15 Sunday. Kansas City nipped Oakland, 24-7 at Arrowhead in Week 6 behind a ferocious defense that forced three second-half interceptions and sacked then starting quarterback Terrelle Pryor 10 times.
Oakland (4-9) was dropped by the New York Jets, 37-27, in New York last week.
With running backs Rashad Jennings (concussion) and Darren McFadden (ankle), fullback Marcel Reece supplied the ground game for Oakland rushing for a career-high 123 yards on 19 carries, including a career-long 63-yard touchdown run on the second play of the third quarter.
Quarterback Matt McGloin finished the game 18 of 31 for 245 yards passing, two touchdowns and an interception, while wide receiver Rod Streater had a career-high 130 yards receiving and a touchdown.
Kansas City (10-3) throttled hapless Washington, 45-10, last week in the Nation's Capital.
The Chiefs jumped on Washington from the start, building a 31-0 lead in the second quarter behind two special teams touchdowns and their running game. Running back Jamaal Charles racked up 151 yards and a touchdown on 19 carries.
Charles leads the AFC in rushing with 1,161 yards and 10 touchdowns, and is third overall in the NFL in rushing yards behind Minnesota running back Adrian Peterson (1,221), and Philadelphia running back LeSean McCoy (1,3o5).
Categories Oakland Raiders•Tags Arrowhead Stadium, Darren McFadden, Jamaal Charles, Kansas City Chiefs, Marcel Reece, Matthew McGloin, O.co Coliseum, Oakland Raiders, Rashad Jennings, Rod Streater, Terrelle Pryor
Another loss for Silver and Black
Published on December 8, 2013 December 8, 2013 by Sports Radio ServiceLeave a comment
EAST RUTHERFORD, NJ – DECEMBER 8: Terrelle Pryor #2 hands off to Marcel Reece #45 of the Oakland Raiders during their game against the New York Jets at MetLife Stadium on December 8, 2013 in East Rutherford, New Jersey. (Photo by Jeff Zelevansky/Getty Images)
By Jeremy Kahn
Charles Woodson compared this latest loss for the Oakland Raiders to the baseball team in the 1976 classic movie Bad News Bears.
Lately that is exactly how the Raiders have been playing, and their latest loss against the New York Jets shows just that.
Geno Smith broke Mark Sanchez's rookie record in a season, as he threw for 219 yards and the Jets defeated the Raiders 37-27 at MetLife Stadium.
On the season, the rookie out of the University of Missouri has thrown for 2,475 yards, breaking Sanchez's record of 2,444.
Chris Ivory scored on a touchdown run, Nick Folk kicked three field goals and Antonio Allen blocked a punt and returned it for a touchdown, as the Jets put a stop to their three-game losing streak.
Matt McGloin threw three touchdown passes, and Marcel Reece scored on a 63-yard touchdown run.
McGloin went 18-for-31 for 245 yards passing.
Reese was forced to start at running back for the Raiders, as they were down three running backs.
This was the third consecutive loss for the Raiders, who fall to 4-9 on the season and this was the 13th consecutive loss in the Eastern Zone.
Sebastian Janikowski continues to have kicking problems, as the veteran missed a 52-yard field goal after the Raiders were able to get a huge interception by Kevin Burnett with the Raiders trailing 3-0 in the first quarter.
With the Raiders trailing by 17 entering the third quarter, Reece gave them a little light, as he took a handoff from McGloin and ran 63 yards for a touchdown.
On the afternoon, Reece finished with 19 carries for 123 yards and that long touchdown run through the Jets defense.
Rod Streater continues to get better each week, as the free agent out of Temple pulled down seven catches for 130 yards and a touchdown.
Categories Oakland Raiders•Tags Antonio Allen, Geno Smith, Marcel Reece, Matthew McGloin, MetLife Stadium, New York Jets, Nick Folk, Sebastian Janikowski
McGloin, Raiders head to Big D for Thanksgiving Day Showdown
Published on November 26, 2013 November 27, 2013 by jhawkes51Leave a comment
OAKLAND — Following a heart-breaking 23-19 loss to the Tennessee Titans Sunday at O.co Coliseum, the 4-7 Raiders travels to Dallas on a short week for a Thanksgiving Day game against the 6-5 Cowboys Thursday. Oakland watched the Titans come from behind twice and score the go-ahead touchdown with 10 seconds left to go in the game.
After starting the game a little shaky (one interception and four batted balls), quarterback Matt McGloin finished the game 19 of 32 for 260 yards passing and one touchdown.
McGloin was on fire in the second half, completing 11 of 15 passes for 155 yards, and went 4 of 4 for 74 yards culminating into a 27-yard touchdown pass to Pro Bowl fullback Marcel Reece that gave Oakland the lead 19-16 late in the fourth quarter.
Running back Rashad Jennings has been a big boost to the Raiders ground attack since taking over for the oft-injured Darren McFadden.
Jennings surpassed his career high for total yards in a season in the second quarter, finishing with 16 carries for 73 yards and four catches for 49 yards for the game to give him 790 total yards for the season.
Another bright spot from the crushing loss to the Titans was the play of linebacker Nick Roach.
Roach finished the game with 10 tackles and 1.5 sacks. Roach, a free agent signee from the Chicago Bears in the off season, surpassed the 100 tackle mark for the first time in his career, and set a career high with 102 tackles this season.
Oakland may have their hands with a Cowboys team that are coming off a big 24-21 NFC East divisional win in New York against the Giants Sunday.
Dallas (6-5), are lead by quarterback Tony Romo.
Romo engineered a 14-play game-winning drive by converting two critical third down passes in the fourth quarter. The Cowboys' quarterback leads the NFL's fifth ranked offense, placing fourth in touchdown passes (23) and eighth in passing yards (2,915) and will pose a challenge for the Raiders' 25th ranked passing defense.
For the season, Oakland's defense has only surrendered four touchdowns in the first quarter.
Wide receiver Dez Bryant is unquestionably Dallas' biggest deep threat and trusted big-playmaker. Bryant has 61 catches for 835 yards (13.7 yards per catch), and eight touchdowns. Expect Raiders' cornerback Tracy Porter to follow Bryant for most of the afternoon.
Dallas sports the NFL's worst defense, ranked 32nd overall, giving up 432 total yards per game this season.
Categories Oakland Raiders•Tags Dallas, Darren McFadden, Dez Bryant, Marcel Reece, Matthew McGloin, NFL, Nick Roach, Tony Romo
Manning makes history in win
Published on September 24, 2013 September 24, 2013 by Sports Radio ServiceLeave a comment
Peyton Manning is like a fine wine, he just gets better with age and he is proving it week after week.
Manning went 32-for-37 for 374 yards passing with three touchdowns, as the Denver Broncos defeated the Oakland Raiders 37-21 at Sports Authority Field at Mile High.
With the victory, the Broncos have won 14 consecutive regular games, tying the 1998 team for consecutive wins in team history and the Broncos won the Super Bowl that season over the Atlanta Falcons by the final score of 34-19 in Miami.
With three more touchdown passes on the evening, Manning passes Tom Brady for the most touchdown passes thru three games, as the 16-year veteran has thrown 12 touchdowns.
Brady set the record in 2011, and Manning has yet to be intercepted on the season, tying Michael Vick's 2010 record when he threw 12 touchdowns before his frat interception.
Terrelle Pryor was forced to leave the game with a concussion, but before leaving, Pryor went 19-for-28 for 281 yards.
Pryor threw a 73-yard touchdown pass to Denarius Moore that cut the Broncos down to 17-7 midway thru the second quarter.
Darren McFadden was held to just nine yards on the ground, but did throw a 16-yard touchdown pass to Marcel Reece with 17 seconds remaining in the third quarter.
Jeremy Kahn hosts Sportstalk Radio right here on http://www.sportsradioservice.com/
Categories Oakland Raiders•Tags Darren McFadden, Denarius Moore, Denver Broncos, Marcel Reece, Oakland Raiders, Peyton Manning, Terrelle Pryor


How do you miss something for three days? Much less a car with a body in it? Did nobody park near it?
There's a Marshall's in Humble? I thought they had gone bankrupt a while back.
Oh, that's Mervyn's... that store was good.


text:
"""One-line documentation for approximate_conv module.

A detailed description of approximate_conv.
"""

from datetime import datetime
import time
import sys
import os.path
import collections
import tensorflow as tf
from absl import app
from absl import flags
from absl import gfile
from tensorflow.contrib.slim.model_deploy import DeploymentConfig, deploy
from tensorflow.python.profiler.model_analyzer import PrintModelAnalysis
import cPickle as pickle
import matplotlib
matplotlib.use('TkAgg')
from matplotlib import pylab
import matplotlib.pyplot as plt
import numpy as np
import scipy.io as sio
from scipy import ndimage
import retina.response_model.python.population_subunits.jitter.distributed.jitter_model as jitter_model
import retina.response_model.python.population_subunits.jitter.distributed.get_data_mat as get_data_mat
import random

FLAGS = flags.FLAGS
# flags for data locations
flags.DEFINE_string('folder_name', 'experiment_jitter',
                    'folder where to store all the data')
flags.DEFINE_string('save_location',
                    '/home/bhaishahster/distributed3/',
                    'where to store logs and outputs?');
flags.DEFINE_string('data_location',
                    '/home/retina_data/Google datasets/2016-04-21-1/data006(2016-04-21-1_data006_data006)/',
                    'where to take data from?')
flags.DEFINE_integer('batchsz', 240*4, 'batch size for training')
flags.DEFINE_integer('n_chunks',1793, 'number of data chunks') # should be 216
flags.DEFINE_integer('num_chunks_to_load', 2*6,
                     'number of chunks to load for 1 batch of data')
flags.DEFINE_integer('train_len', 216 - 21, 'how much training length to use?')
flags.DEFINE_float('step_sz', 20, 'step size for learning algorithm')
flags.DEFINE_integer('max_steps', 400000, 'maximum number of steps')

# random number generators initialized
# removes unneccessary data variabilities while comparing algorithms
flags.DEFINE_integer('np_randseed', 23, 'numpy RNG seed')
flags.DEFINE_integer('randseed', 65, 'python RNG seed')

# flags for model/loss specification
flags.DEFINE_string('model_id', 'relu_window_mother_sfm', 'which model to fit')
## list of models here, and quick explanation
flags.DEFINE_string('loss', 'poisson', 'which loss to use?')
# poisson, (conditional poisson - TODO), logistic or hinge

# model specific terms
# useful for convolution-like models
flags.DEFINE_string('architecture','1 layer',
                    'the architecture of model to be learnt')
# options : 1 layer, 2 layer_stimulus (stimulus put to lower dimensions),
# 2 layer_delta (two layered architecture of delta weights)
# stimulus downsampling options - if architecture = '2 layer_stimulus',
# then downsample stimulus with these windows and strides.
flags.DEFINE_integer('stim_downsample_window', 4,
                     'How to down sample the stimulus')
flags.DEFINE_integer('stim_downsample_stride',4,
                     'stride to use to downsample stimulus')

# weight windows on stimulus for subunits
flags.DEFINE_integer('window', 16,
                     'size of window for each subunit in relu_window model')
flags.DEFINE_integer('stride', 16,
                     'stride for relu_window')
flags.DEFINE_integer('su_channels', 3,
                     'number of color channels each subunit should take input from')

# some models need regularization of parameters
flags.DEFINE_float('lam_w', 0.000, 'sparsitiy regularization of w')
flags.DEFINE_float('lam_a', 0.000, 'sparsitiy regularization of a')

# dataset specific
flags.DEFINE_float('n_cells',1, 'number of cells in the dataset')

# distributed TF specific flags
flags.DEFINE_string("master", "local",
                           """BNS name of the TensorFlow master to use.""")
flags.DEFINE_integer("task", 0,
                            """Task id of the replica running the training.""")
flags.DEFINE_integer("ps_tasks", 0,
                            """Number of tasks in the ps job.
                            If 0 no ps job is used.""")

#flags.DEFINE_integer("is_eval", 0, """If this is eval worker""")

# specs for multi-gpu training
tf.app.flags.DEFINE_string('config_params', '',
                           """Deployment config params.""")

# parameters used for synchronous updating of gradients from multiple workers
flags.DEFINE_boolean("sync_replicas", False,
                     "Use the sync_replicas (synchronized replicas) mode, "
                     "wherein the parameter updates from workers are aggregated "
                     "before applied to avoid stale gradients")

flags.DEFINE_integer("replicas_to_aggregate", None,
                     "Number of replicas to aggregate before parameter update"
                     "is applied (For sync_replicas mode only; default: "
                     "num_workers)")

# learn or analyze a particular fit?
flags.DEFINE_integer("learn",1,"""If we learn the model or analyse it""")
FLAGS = flags.FLAGS

def main(argv):
  RunComputation()

def RunComputation():

  # filename for saving file
  if FLAGS.architecture == '2 layer_stimulus':
    architecture_string = ('_architecture=' + str(FLAGS.architecture) +
                           '_stim_downsample_window=' +
                           str(FLAGS.stim_downsample_window) +
                           '_stim_downsample_stride=' +
                           str(FLAGS.stim_downsample_stride))
  else:
    architecture_string = ('_architecture=' + str(FLAGS.architecture))

  short_filename = ('model=' + str(FLAGS.model_id) + '_loss='+
                    str(FLAGS.loss) + '_batch_sz='+ str(FLAGS.batchsz) +
                    '_lam_w=' + str(FLAGS.lam_w) +
                    '_step_sz'+ str(FLAGS.step_sz) +
                    '_tlen=' + str(FLAGS.train_len) +
                    '_window='+str(FLAGS.window) +
                    '_stride='+str(FLAGS.stride) +
                    str(architecture_string) + '_jitter')

  # make a folder with name derived from parameters of the algorithm - it saves checkpoint files and summaries used in tensorboard
  parent_folder = FLAGS.save_location + FLAGS.folder_name + '/'
  # make folder if it does not exist
  if not gfile.IsDirectory(parent_folder):
    gfile.MkDir(parent_folder)
  FLAGS.save_location = parent_folder + short_filename + '/'
  print('Does the file exist?', gfile.IsDirectory(FLAGS.save_location))
  if not gfile.IsDirectory(FLAGS.save_location):
    gfile.MkDir(FLAGS.save_location)

  save_filename = FLAGS.save_location + short_filename

  """Main function which runs all TensorFlow computations."""
  with tf.Graph().as_default() as gra:
    with tf.device(tf.ReplicaDeviceSetter(FLAGS.ps_tasks)):
      print(FLAGS.config_params)
      tf.logging.info(FLAGS.config_params)
      # set up training dataset
      tc_mean = get_data_mat.init_chunks(FLAGS.n_chunks)

      '''
      # plot histogram of a training dataset
      stim_train, resp_train, train_len = get_data_mat.get_stim_resp('train',
                                                                     num_chunks=FLAGS.num_chunks_to_load)
      plt.hist(np.ndarray.flatten(stim_train[:,:,0:]))
      plt.show()
      plt.draw()
      '''
      # Create computation graph.
      #
      # Graph should be fully constructed before you create supervisor.
      # Attempt to modify graph after supervisor is created will cause an error.

      with tf.name_scope('model'):
        if FLAGS.architecture == '1 layer':
          # single GPU model
          if False:
            global_step = tf.contrib.framework.create_global_step()
            model, stim, resp = jitter_model.approximate_conv_jitter(FLAGS.n_cells,
                                                                     FLAGS.lam_w,
                                                                     FLAGS.window,
                                                                     FLAGS.stride,
                                                                     FLAGS.step_sz,
                                                                     tc_mean,
                                                                     FLAGS.su_channels)

          # multiGPU model
          if True:
            model, stim, resp, global_step = jitter_model.approximate_conv_jitter_multigpu(FLAGS.n_cells,
                                FLAGS.lam_w, FLAGS.window, FLAGS.stride, FLAGS.step_sz,
                                tc_mean, FLAGS.su_channels, FLAGS.config_params)

        if FLAGS.architecture == '2 layer_stimulus':
          # stimulus is first smoothened to lower dimensions, then same model is applied
          print(' put stimulus to lower dimenstions!')
          model, stim, resp, global_step, stim_tuple = jitter_model.approximate_conv_jitter_multigpu_stim_lr(FLAGS.n_cells,
                              FLAGS.lam_w, FLAGS.window, FLAGS.stride, FLAGS.step_sz,
                              tc_mean, FLAGS.su_channels, FLAGS.config_params,FLAGS.stim_downsample_window,FLAGS.stim_downsample_stride)

      # Print the number of variables in graph
      print('Calculating model size') # Hope we do not exceed memory
      PrintModelAnalysis(gra, max_depth=10)
      #import pdb; pdb.set_trace()

      # Builds our summary op.
      summary_op = model.merged_summary

      # Create a Supervisor.  It will take care of initialization, summaries,
      # checkpoints, and recovery.
      #
      # When multiple replicas of this program are running, the first one,
      # identified by --task=0 is the 'chief' supervisor.  It is the only one
      # that takes case of initialization, etc.
      is_chief = (FLAGS.task == 0) # & (FLAGS.learn==1)
      print(save_filename)
      if FLAGS.learn==1:
        # use supervisor only for learning,
        # otherwise it messes up data as it tries to store variables while you are doing analysis

        sv = tf.train.Supervisor(logdir=save_filename,
                           is_chief=is_chief,
                           saver=tf.train.Saver(),
                           summary_op=None,
                           save_model_secs=100,
                           global_step=global_step,
                           recovery_wait_secs=5)

        if (is_chief and FLAGS.learn==1):
          tf.train.write_graph(tf.get_default_graph().as_graph_def(),
                                 save_filename, 'graph.pbtxt')

        # Get an initialized, and possibly recovered session.  Launch the
        # services: Checkpointing, Summaries, step counting.
        #
        # When multiple replicas of this program are running the services are
        # only launched by the 'chief' replica.
        session_config = tf.ConfigProto(
                          allow_soft_placement=True,
                          log_device_placement=False)
        #import pdb; pdb.set_trace()
        sess = sv.PrepareSession(FLAGS.master, config=session_config)

        FitComputation(sv, sess, model, stim, resp, global_step, summary_op, stim_tuple)
        sv.Stop()

      else:
        # if not learn, then analyse

        session_config = tf.ConfigProto(
                        allow_soft_placement=True,
                        log_device_placement=False)
        with tf.Session(config=session_config) as sess:
          saver_var = tf.train.Saver(tf.all_variables(),
                             keep_checkpoint_every_n_hours=float('inf'))
          restore_file = tf.train.latest_checkpoint(save_filename)
          print(restore_file)
          start_iter = int(restore_file.split('/')[-1].split('-')[-1])
          saver_var.restore(sess, restore_file)

          if FLAGS.architecture == '2 layer_stimulus':
            AnalyseModel_lr(sess, model)
          else:
            AnalyseModel(sv, sess, model)

def FitComputation(sv, sess, model, stim, resp, global_step, summary_op, stim_tuple):

  def Test():
    # load a test chunk one at a time and compute average log-likelihood
    loss_batch = 0
    n_test_chunks = 2 # should be 8 #len(get_data_mat.test_chunks)
    for ichunk in range(n_test_chunks):
      if get_data_mat.test_counter >=n_test_chunks:
        get_data_mat.test_counter = 0
      stim_test, resp_test, test_len = get_data_mat.get_stim_resp(data_type='test')
      fd_test = {stim: np.array(stim_test,dtype='float32'),
               resp: np.array(resp_test,dtype='float32')}
      loss_batch += sess.run(model.loss_inter, feed_dict=fd_test)
    print_loss = loss_batch / n_test_chunks
    print('Test loss:%.3f' % print_loss)
    return print_loss

  # Run iterative computation in a loop.
  step = sess.run(global_step)
  is_chief = (FLAGS.task == 0)
  loss_avg = []
  while not sv.ShouldStop():
    #print('starting step')
    start_time = time.time()
    stim_train, resp_train, train_len = get_data_mat.get_stim_resp('train',
                                                                   num_chunks=FLAGS.num_chunks_to_load)
    duration = time.time() - start_time
    format_str = ('%s: get_data @ step %d, %.3f '
                  'sec/batch)')
    tf.logging.info(format_str % (datetime.now(), step, duration))
    print(format_str % (datetime.now(), step, duration))
    #print(resp)
    #import pdb; pdb.set_trace()
    fd_train = {stim: np.array(stim_train,dtype='float32'),
                resp: np.array(resp_train,dtype='float32')}
    #print('made dict')
    #print('running step')
    start_time = time.time()
    _, current_loss = sess.run([model.train_step, model.loss_inter], feed_dict=fd_train)
    #_ = sess.run([model.train_step], feed_dict=fd_train)
    #current_loss = 0
    loss_avg.append(current_loss)
    duration = time.time() - start_time
    format_str = ('%s: train @ step %d, %.3f '
                  'sec/batch) loss = %.3f')
    tf.logging.info(format_str % (datetime.now(), step, duration, np.mean(np.array(loss_avg))))
    print(format_str % (datetime.now(), step, duration, np.mean(np.array(loss_avg))))
    if len(loss_avg) > 10:
      loss_avg = loss_avg[1:]

    #print('finished running step.')

    '''
    from IPython.terminal.embed import InteractiveShellEmbed
    ipshell = InteractiveShellEmbed()
    ipshell()
    '''
    if step >= FLAGS.max_steps:
      break
    if is_chief and step % 10 == 0:
      mean_loss = np.mean(np.array(loss_avg))
      #print('making summary')
      start_time = time.time()
      summary_str = sess.run(summary_op, feed_dict=fd_train)
      sv.summary_computed(sess, summary_str)
      duration = time.time() - start_time
      format_str = ('%s: summary @ step %d, %.3f '
                    'sec/batch), loss: %.3f')
      #tf.logging.info(format_str % (datetime.now(), step, duration, loss_inter_summary))
      #print(format_str % (datetime.now(), step, duration, mean_loss))
      loss_avg = []

      # Test data loss

      test_loss = Test()
      '''
      test_summary = tf.Summary()
      value = test_summary.value.add()
      value.tag = 'Test loss'
      value.simple_value = test_loss
      print('Test loss %.3f' % value.simple_value)
      sv.summary_computed(sess, test_summary)
      #print('adding summary')
      '''
    step += 1
    #print('ending step')

def AnalyseModel(sv, sess, model):
  # analyse a 1 layered almost-convolutional model
  print('starting analysis')

  # get mother cell and print it
  w_fit_mother = sess.run(model.variables.w_mother)
  print(np.shape(w_fit_mother))
  for ichannel in range(3):
    plt.subplot(1,3,ichannel+1)
    print(np.squeeze(w_fit_mother[:,:,ichannel,0]))
    plt.imshow(np.squeeze(w_fit_mother[:,:,ichannel,0]), cmap='gray')
  plt.draw()
  plt.show()

  # print a_sfm
  '''
  a_sfm_eval = sess.run(model.ops.a_sfm)
  plt.plot(a_sfm_eval)
  print(np.shape(a_sfm_eval))
  print(np.sum(a_sfm_eval ,0))
  plt.show()
  plt.draw()
  '''

  # plot delta subunit for 'almost convolutional - model + delta models'

  w_del_e = np.squeeze(sess.run(model.variables.w_del))
  w_mot = sess.run(model.variables.w_mother)
  dimx = model.dimensions.dimx
  dimy = model.dimensions.dimy
  print(dimx, dimy)
  for icol in np.arange(3):
    icnt=1
    for idimx in np.arange(dimx):
      print(idimx)
      for idimy in np.arange(dimy):
        w_del_flatteni = np.squeeze(w_del_e[idimx, idimy, :])
        plt.subplot(dimx, dimy, icnt)
        wts = w_del_flatteni
        wh = 2*FLAGS.window+1

        wts = np.reshape(wts[wh*wh*icol:wh*wh*(icol+1)],(wh,wh))
        plt.imshow(np.squeeze(wts + np.squeeze(w_mot[:,:,icol])),cmap='gray')
        icnt=icnt+1
        plt.axis('off')
    print(icol)
    plt.draw()
    plt.show()

  # plot subunits for a chosen cell

  w_del_e = np.squeeze(sess.run(model.variables.w_del))
  w_mot = sess.run(model.variables.w_mother)
  a_sfm_eval = sess.run(model.ops.a_sfm)
  icell = 20
  icol = 1 # 1 for green
  a_wts = a_sfm_eval[:,icell]
  a_thr = np.percentile(a_wts, 99)
  sus = np.arange(a_sfm_eval.shape[0])
  chosen_su = sus[a_wts > a_thr]
  wh = 2 * FLAGS.window + 1
  dimx = model.dimensions.dimx
  dimy = model.dimensions.dimy
  icnt=-1
  isu = 0

  print(chosen_su)
  for idimx in np.arange(dimx):
    print(idimx)
    for idimy in np.arange(dimy):
      icnt=icnt+1
      if(a_wts[icnt]>=a_thr):
        print(icnt)
        # plot this subunit
        # compute 2D subunit
        w_del_flatteni = np.squeeze(w_del_e[idimx, idimy, :])
        wts = w_del_flatteni
        wts = np.reshape(wts[wh * wh * icol:wh * wh * (icol + 1)], (wh, wh))

        isu = isu + 1
        print(isu)
        plt.subplot(len(chosen_su), 2, (isu - 1) * 2 +  1)
        plt.imshow(np.squeeze(wts + np.squeeze(w_mot[:, :, icol])), cmap='gray')
        plt.title(str(a_wts[icnt]))

        plt.subplot(len(chosen_su), 2, (isu - 1) * 2 +  2)
        plt.imshow(np.squeeze(wts),cmap='gray')
        plt.title(str(a_wts[icnt]))

  plt.show()
  plt.draw()

def AnalyseModel_lr(sess, model):
   # analyse a 1 layered almost-convolutional model
  print('starting analysis')

  # get mother cell and print it
  w_fit_mother = sess.run(model.variables_lr.w_mother)
  print(np.shape(w_fit_mother))
  for ichannel in range(1):
    plt.subplot(1,1,ichannel+1)
    print(np.squeeze(w_fit_mother[:,:,ichannel,0]))
    plt.imshow(np.squeeze(w_fit_mother[:,:,ichannel,0]), cmap='gray',
               interpolation='nearest')
  plt.title('Mother subunit')
  plt.draw()
  plt.show()

  # see how the stimulus is put to lower dimensions - plot w_stim_lr
  w_fit_stim_lr = sess.run(model.variables_lr.w_stim_lr)
  print(np.shape(w_fit_stim_lr))
  for ichannel in range(3):
    plt.subplot(1,3,ichannel+1)
    print(np.squeeze(w_fit_stim_lr[:,:,ichannel,0]))
    plt.imshow(np.squeeze(w_fit_stim_lr[:,:,ichannel,0]), cmap='gray',
               interpolation='nearest')
  plt.title('w_stimlr: putting stimulus to lower dimensions')
  plt.draw()
  plt.show()

  # plot delta subunit for 'almost convolutional - model + delta models'
  '''
  w_del_e = np.squeeze(sess.run(model.variables_lr.w_del))
  w_mot = sess.run(model.variables_lr.w_mother)
  dimx = model.dimensions.dimx
  dimy = model.dimensions.dimy
  print(dimx, dimy)
  for icol in np.arange(1):
    icnt=1
    for idimx in np.arange(dimx):
      print(idimx)
      for idimy in np.arange(dimy):
        w_del_flatteni = np.squeeze(w_del_e[idimx, idimy, :])
        plt.subplot(dimx, dimy, icnt)
        #plt.subplot(6,6,icnt)
        wts = w_del_flatteni
        wh = 2*FLAGS.window+1

        wts = np.reshape(wts[wh*wh*icol:wh*wh*(icol+1)],(wh,wh))
        plt.imshow(np.squeeze(wts + np.squeeze(w_mot[:,:,icol])),cmap='gray',
                   interpolation='nearest')
        icnt=icnt+1
    plt.suptitle('w mother + w delta')
    print(icol)

    plt.draw()
    plt.show()
  '''

  # plot subunits for a chosen cell

  w_del_e = np.squeeze(sess.run(model.variables_lr.w_del))
  w_mot = sess.run(model.variables_lr.w_mother)
  a_model = sess.run(model.variables_lr.a)
  a_sfm_eval = a_model
  icell = 35
  icol = 0 # 1 for green
  a_wts = a_sfm_eval[:,icell]
  a_thr = np.percentile(a_wts, 99.9)
  sus = np.arange(a_sfm_eval.shape[0])
  chosen_su = sus[a_wts > a_thr]
  wh = 2 * FLAGS.window + 1
  dimx = model.dimensions.dimx
  dimy = model.dimensions.dimy
  icnt=-1
  isu = 0

  print(chosen_su)
  for idimx in np.arange(dimx):
    print(idimx)
    for idimy in np.arange(dimy):
      icnt=icnt+1
      if(a_wts[icnt]>=a_thr):

        good_sux=idimx
        good_suy=idimy
        print(icnt, idimx, idimy, a_wts[icnt])
        # plot this subunit
        # compute 2D subunit
        w_del_flatteni = np.squeeze(w_del_e[idimx, idimy, :])
        wts = w_del_flatteni
        wts = np.reshape(wts[wh * wh * icol:wh * wh * (icol + 1)], (wh, wh))

        isu = isu + 1
        print(isu)
        ax=plt.subplot(len(chosen_su), 2, (isu - 1) * 2 +  1)
        plt.imshow(np.squeeze(wts + np.squeeze(w_mot[:, :, icol])), cmap='gray',
                   interpolation='nearest')
        #plt.title(str(a_wts[icnt]))
        ax.set_xticklabels([])
        ax.set_yticklabels([])

        ax=plt.subplot(len(chosen_su), 2, (isu - 1) * 2 +  2)
        plt.imshow(np.squeeze(wts),cmap='gray', interpolation='nearest')
        #plt.title(str(a_wts[icnt]))
        ax.set_xticklabels([])
        ax.set_yticklabels([])

  plt.show()
  plt.draw()

  ## Decode stimulus for each subunit
  print('Starting decode')

  w_stim_lr_fit = sess.run(model.variables_lr.w_stim_lr)
  w_mother_fit = sess.run(model.variables_lr.w_mother)
  a_fit = sess.run(model.variables_lr.a)
  w_del_fit = sess.run(model.variables_lr.w_del)
  bias_su_fit = sess.run(model.variables_lr.bias_su)
  bias_cell_fit = sess.run(model.variables_lr.bias_cell)
  tcmean_fit = sess.run(model.variables_lr.time_course)
  sux = good_sux
  g = tf.Graph()
  with g.as_default():
    with tf.Session() as sess2:
      for suy in [good_suy]:#np.arange(30):
        # plot a
        a = tf.constant(np.array(a_fit, dtype='float32'))
        a_sfm = tf.transpose(tf.nn.softmax(tf.transpose(a)))
        a_sfm_expanded = tf.expand_dims(a_sfm, 0)
        a_sfm_expanded = tf.expand_dims(a_sfm_expanded, -1)
        a_sfm_np = sess2.run(a_sfm_expanded)
        plt.imshow(np.squeeze(a_sfm_np), cmap='gray', interpolation='nearest')
        plt.show()
        plt.draw()

        # maximize stimulus for a particular su
        vars_lst = jitter_model.variables_lr(w_mother_fit, w_del_fit, a_fit, w_stim_lr_fit,bias_su_fit ,bias_cell_fit, tcmean_fit)
        np.random.seed(11111)
        stim4D = tf.Variable(np.array(np.random.randn(1,640,320,3), dtype='float32'), name="decoded_stimulus")
        decode_fcn = jitter_model.decode_op_stim_lr(sess2, stim4D, sux, suy, vars_lst, FLAGS.window, FLAGS.stride,
                          FLAGS.stim_downsample_window,
                          FLAGS.stim_downsample_stride,
                          model.dimensions_stimlr.dimx_slr,
                          model.dimensions_stimlr.dimy_slr,
                          model.dimensions.dimx, model.dimensions.dimy, FLAGS.n_cells)
        stim_decode, max_val = decode_fcn()

        print(np.shape(stim_decode))
        icol =0
        plt.subplot(1,2,1)
        plt.imshow(np.squeeze(stim_decode[0,:,:,icol]), cmap='gray', interpolation='nearest')

        xx = np.squeeze(stim_decode[0,:,:,icol])
        rc = np.nonzero(xx>0.8*np.max(np.ndarray.flatten(xx)))
        xxy = xx[np.min(rc[0]):np.max(rc[0]), np.min(rc[1]):np.max(rc[1])]
        plt.subplot(1,2,2)
        plt.imshow(xxy, cmap='gray', interpolation='nearest')
        plt.title('Max val: '+ str(max_val))
        plt.show()
        plt.draw()

        # maximize stimulus for a particular cell

        for mcellid in [20]:#np.arange(49): # which cell ID to plot
          np.random.seed(11111)
          stim4D = tf.Variable(np.array(np.random.randn(1,640,320,3), dtype='float32'), name="decoded_stimulus")
          decode_fcn = jitter_model.decode_op_stim_lr(sess2, stim4D, mcellid, -1, vars_lst, FLAGS.window, FLAGS.stride,
                            FLAGS.stim_downsample_window,
                            FLAGS.stim_downsample_stride,
                            model.dimensions_stimlr.dimx_slr,
                            model.dimensions_stimlr.dimy_slr,
                            model.dimensions.dimx, model.dimensions.dimy, FLAGS.n_cells, max_element='cell')
          stim_decode, max_val = decode_fcn()

          print(np.shape(stim_decode))
          icol =1
          #plt.subplot(7, 7, mcellid+1);
          plt.imshow(np.squeeze(stim_decode[0, :, :, icol]), cmap='gray', interpolation='nearest')
        plt.show()
        plt.draw()

  '''
  from IPython.terminal.embed import InteractiveShellEmbed
  ipshell = InteractiveShellEmbed()
  ipshell()
  '''

if __name__ == '__main__':
  app.run()

redpajama_set_name: RedPajamaGithub


text:
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Seishun Buta Yarou wa Bunny Girl Senpai no Yume wo Minai
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Score: 8.41/10
Posted on June 3, 2020 by オタク
Eng Title : Rascal Does Not Dream of Bunny Girl Senpai
Alt Title : AoButa
JP Title : 青春ブタ野郎はバニーガール先輩の夢を見ない
Genre : Comedy, Romance, School, Supernatural
Season : Fall 2018
Status : Complete
Rating : PG-13 - Teens 13 or older
Episodes : 13/13
Duration : 24 min. per ep.
Studios : CloverWorks
Tags : anime, anime download, anime online watch, anime series, anime subbed, anime watching websites, AoButa, AoButa download, batch anime download, best anime, best free anime watch online, eng sub anime, free anime, free anime download, free anime series, free anime watch, free anime watch and download, free anime watching apps, just anime, justanime, Rascal Does Not Dream of Bunny Girl Senpai, Rascal Does Not Dream of Bunny Girl Senpai download, Seishun Buta Yarou wa Bunny Girl Senpai no Yume wo Minai, Seishun Buta Yarou wa Bunny Girl Senpai no Yume wo Minai download, streaming anime, sub anime, subbed anime, watch anime, watch anime online free, watch cartoons online free, 青春ブタ野郎はバニーガール先輩の夢を見ない
The rare and inexplicable Puberty Syndrome is thought of as a myth. It is a rare disease which only affects teenagers, and its symptoms are so supernatural that hardly anyone recognizes it as a legitimate occurrence. However, high school student Sakuta Azusagawa knows from personal experience that it is very much real, and happens to be quite prevalent in his school. Mai Sakurajima is a third-year high school student who gained fame in her youth as a child actress, but recently halted her promising career for reasons unknown to the public. With an air of unapproachability, she is well known throughout the school, but none dare interact with her—that is until Sakuta sees her wandering the library in a bunny girl costume. Despite the getup, no one seems to notice her, and after confronting her, he realizes that she is another victim of Puberty Syndrome. As Sakuta tries to help Mai through her predicament, his actions bring him into contact with more girls afflicted with the elusive disease. [Written by MAL Rewrite]
Anime Details
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Raskal Does Not Dream of Copyright Infringement
There is going to be a lot of mentions of Monogatari series in the review, because you need to understand that this series is not just similar, or inspired, or derivative. No – it's an unbelievably blatant plagiarism, it steals everything from Monogatari, and I mean EVERYTHING, except for a couple of elements stolen from Oregairu and Haruhi instead. Comparing it to the famous cases of literary plagiarism ruled by court (Like Harry Potter's rip-off called Tanya Grotter), it would 100% be ruled a copyright infringement if Nisio Isin/Kodansha ever bothered to sue (and it baffles me that they didn't). If you've seen Monogatari before, you might get a kick out of spotting entire scenes and minute-long dialogues meticulously copypasted word-for-word (don't make it a drinking game, you'll die) but there really isn't much point in doing that over an actual rewatch, because production values are not as good as Studio SHAFT.
Well, one might ask, wouldn't a carbon copy of a good series also be good? No, because there is another element in play – the author is a talentless hack. Something called "stupidity" manifests in multiple aspects of this story making it impossible to enjoy. Here are some examples:
1. Primitive surface-level copying results in nonsense. The best example is the show's title – it's terrible for marketing purposes because it made many people believe this is going to be some ecchi harem. Well, the title comes from the female lead wearing a bunny-girl suit …for approximately 15 seconds that basically amount to nothing plot-wise. You see, in Monogatari heroines have animal leitmotifs, and that got copypasted – except the writer couldn't think of any actual reason for this inside the story, so it's just an awkward non sequitur, sitting there, doing nothing except making the title stupid – and there are many other examples like that.
2. Insufferable protagonist. There is a certain trope familiar to most anime watchers – "badass loner", aka "Gary Stu", aka "Self-insert Jesus-kun", aka "literally me". Araragi from Monogatari looks like one – until he isn't, because writing anime cliches as complex real people is what that series does. Hachiman from Oregairu is another take – he is also real, i. e. an awkward teenager who has trouble socializing. Being a talentless hack he is, the writer of Aobuta couldn't do anything but write this trope completely straight. The MC is supposedly antisocial pariah, but he has social skills and confidence of a god. When some dumb females give him shit he just says "begone thot!" and they run away in shame, defeated by his awesomeness. He beats a jock twice his size in a fist fight by "outsmarting" him, nevermind a gang of jock's friends standing there doing nothing. It's just so cringy to watch. Kirito from SAO is a better protagonist, at least that guy farmed levels or something.
3. Idiotic non-logic. Monogatari has supernatural phenomena explained with ghosts. Aobuta has supernatural phenomena explained with quantum mechanics. That is, dumb and cringy "is math related to science?" level of quantum mechanics understanding. That's not my point, pseudo-science is just a particular case of a bigger problem of nothing making sense. This is also better explained with an example. Spoiler ahead:
**Spoiler begins here**
Here is a conversation between two characters:
Person A: "I'm trapped in a day-long time loop."
Person B: "That means there is another person also trapped in the same loop."
Nonsense, right? Well the conversation is slightly longer but boils down to exactly that. Here is a full version with my play-by-play:
Person B: "What if you're not trapped, but instead perfectly predict the future, and experience it as an advanced form of jamais vu?" //How could this possibly be a first idea in reaction to the time loop? How does that work? Why is it a time loop that repeats multiple times instead of just being clairvoyant? You what?
Person A: "How so?"
Person B: "Laplace's demon. A theoretical intelligence that can perfectly calculate position and behaviour of every particle in the universe, therefore, can predict the future." //But why would it make a repeating loop instead of just being clairvoyant??? Why would Laplace's demon be your first idea if it doesn't actually fit the nature of the situation?
Person A: "But I'm not a Laplace's demon, I'm a normal human"
Person B: "That means some other person is Laplace's demon and they do the calculations. You're quantum entangled with that person so you experience their time loop." //Again, how could this possibly be your first idea? Other person being Laplace's demon doesn't actually answer any of the questions posed. Also, quantum entanglement… a) Is an actual physical phenomena, not a theoretical construct, and it doesn't fit the situation at all, so it wouldn't be a thing that comes to mind here; b) Doesn't have anything to do with Laplace's demon, so it wouldn't come to mind based on that; c) DOESN'T EXPLAIN WHY THE TIME IS REPEATING IN A LOOP, INSTEAD OF TWO PEOPLE BEING CLAIRVOYANT.
**Spoiler ends here**
Notice the pattern? Wrong physics aside, none of the conclusions of Person B logically follow from the previously reached conclusions, it's a bunch of random lines arranged one after another. Either the author is a moron and "lines arranged one after another" is his understanding of how logic works, or he thinks the audience are morons and he can scam them with this garbage if he talks fast and sounds confident. Incidentally, if someone tries "but that's just Person B's theory, it doesn't have to be true" on you – spit them in the face because the characters act on those assumptions and they are proven to be 100% correct.
2/10 because this series provides nothing of value and has no reason to exist, except to give an answer to a weird thought experiment – what if some acclaimed series was the same, but written by an author 50 IQ points lower.
I don't understand the hype for this one. Bunny Girl Senpai is full of the same issues commonly criticized in most light novel adaptations, so why does it get a free pass? Harem tropes, waifu bait, incest teasing, thin characterization, vague pseudoscience, and an asshole deadpan protagonist who solves a bunch of girls' problems for them. Most of all, the art and sound are incredibly mediocre excluding the many moments when CloverWorks chooses to bend over and spray shit in our eyes with its abundance of hideous CGI crowds. First and foremost, I hate the writing in Bunny Girl Senpai. Consider the '4' points I rated the show overall to be a generous acknowledgment of its basic features. It was painful to watch, but not irredeemable. The story follows Sakuta, a second year in high school, as he tries to help girls afflicted by a supernatural phenomenon known as Adolescence Syndrome. If that sounds like a psychological disorder concocted by a pretentious teenage boy trying to sound smart, that's because it is. If a character suddenly becomes invisible or if everyone is trapped in a three-day long time loop, then the author will call it Adolescence Syndrome and leave the rest up to our imaginations. In other words, it's the author's way of masking a cheap plot device. Rather than giving us a coherent explanation for the syndrome, the author just handwaves it with common quantum mechanics like Schrodinger's Cat and Laplace's Demon. It's loosely defined as a supernatural affliction that manifests in people who are going through severe stress, whether it be cyberbullying causing physical cuts, or going invisible because you're sick of attention. To the show's credit, as a plot device, it is used to craft some empathetic struggles within the characters and even a little bit of relatability. However, these conflicts aren't executed nearly as well as they could be. The story is told through five parts, each with a new girl for Sakuta to help and flirt with. This standard harem setup is so unbearable to watch play out because Sakuta is just an awful protagonist. Sakuta is the average deadpan, cynical, uncaring protagonist, except he's also an unlikable asshole. His one single tone of voice is monotonous boredom, and he almost never wavers from it for the entire series. Keep in mind, this show is FULL of dialogue, but it has no goddamn clue how to make any of it seem interesting. Sakuta's dialogue isn't witty or clever like you would expect from a deadpan character, it's just vulgar, gross, and obnoxious. Deceptively, treats everyone like crap and hides behind irony so that people don't think he's that bad of a guy. However, everything he says is actually unironic, there's no nuance, no punchline, he's just a bad person. He is never punished for being an asshole, sometimes girls might comment on his behavior if he says something especially inappropriate to them, but right away they move on and act like he's Jesus-kun again. For example, when a girl says something rude to him he fires back with: "Are you on your period or something?" Did a twelve-year-old write this script? Sakuta's shallow quips are always like this, juvenile and crass, and the rest of his dialogue is completely deadpan. He is rarely emotionally impacted by anything; very little makes him impressed or concerned. Viewing a story from the perspective of an uncaring asshole like Sakuta makes it impossible to get invested in anything, or even enjoy it. If the show had actually confronted him about his behavior and acknowledged how bad he was to his friends, then it could have been a character flaw and something to develop upon. But from what we saw adapted, his character development is satisfied with being permanently stagnant. He continues to hide his ugly personality behind a thick layer of snark and quips. Sakuta is just the rotten core of this story, surrounding him is the main attraction, all of the ladies who are strangely drawn to him. Our first heroine for Sakuta to assist is Mai Sakurajima, the titular bunny girl. Somehow she makes the dialogue even worse, she is equally as dry and cynical as Sakuta. Throughout the series, the script parallels standard rom-com dialogue, except it is written to be as pretentious as possible with the pace cranked down to molasses. Rather than a simple sentence lasting a few seconds, it's needlessly wrapped into a messy jumble of sophistry and weird unfunny jokes. Why can't these kids just talk like normal human beings? That would sure as hell make them more engaging to watch, and you know, relatable. Mai is the typical tsundere archetype, with the intruiging bunny girl costume appearing the most in episode one, then rarely appearing for the rest of the series. The whole 'Bunny Girl' hook in the title is contrived for what amounts to little more than big budget clickbait. There is one area which Bunny Girl Senpai is deserving of praise, its themes. At least from a conceptual standpoint, they add some nuance and relatability to cast. The execution of these themes, like the rest of the show, leaves much to be desired. Where we see the most intruiging themes on display is in Futaba's arc; she is introduced early in the show as more or less an exposition dumper with the sole purpose of lampshading plot conveniences. The relevant themes of insecurity and social anxiety addressed in her arc are muddled by the terrible hackneyed script. She is a scientist girl for the sole purpose of spouting tropey quantum theory pseudo-science to explain away everything that's happening. It's always painfully apparent that the author just read a brief summary about the theories he uses in his story in an attempt to seem intelligent, but it's so clear he didn't bother to fully research them so instead it makes him look stupider. These overlong, cringe-inducing, self-congratulatory 'science' scenes occur almost every episode. Nothing in Bunny Girl Senpai feels real, it's all plastic. Mai and the rest of the girls don't feel like fully realized characters either. They all experience some kind of turmoil yet this rarely shows through in their personalities. They are all plastic prepackaged moe archetypes, unaffected by anything they go through. Even if a character is visibly changed by their conflict after it's resolved, it is usually undermined by the show's terrible writing. For example one girl is affected by Adolescence Syndrome because she is so insecure with her body from how people have treated her, then after her affliction is resolved Sakuta interjects with another one of his crude sex jokes that objectifies her body and undermines everything the arc was building towards. Another issue is the lack of lasting effects to each arc. They are paced too poorly for us to see how characters are impacted, rather than a satisfying conclusion the story just moves on. When the author decides he's bored of a girl he simply ends the arc, in favor of a new case of Adolescence Syndrome. Of course, with another stock standard girl taken off the shelves at A-1 Pictures' waifu warehouse to become the show's new main appeal for a few weeks, until she is inevitably relegated to the supporting cast in favor of a new poster girl. It makes the author seem like an impatient teenage boy who just wants to shove as many beautiful girls into the arms of the cool guy bland protagonist. He pairs a girl with the protagonist and lets them flirt a little bit, and before he has to commit and actually develop said girl he gets bored of her. And writing a nuanced character is such hard work for him. So instead he just solves the issue by tossing aside the old girl in favor of a fresh new waifu to fawn all over his self-insert. This is, of course, a fundamental issue of most harem anime, a revolving door of waifus and a self insert protagonist. Being a light novel adaptation, Bunny Girl Senpai bears many structural similarities to a harem anime. Generally this is the reason why I avoid the genre, that and obnoxious fanservice which this series is thankfully frugal with. Eventually, it leaves off on a non-ending because this is an adaptation of an ongoing light novel. The show tries to wrap up the story as neatly as possible at the end of the last girl's arc, but it crashes and burns in its finale. The climax is a filled with overwrought crying, forced drama, and the cheesiest and most cringe-inducing writing in the whole show. In a better series, this barren wasteland of a script could be saved by a larger budget, or a more experienced director. However, this show's decidedly unimaginative directing style leaves much to be desired. The art is mediocre, it's in no way vivid to look at, the directing fails to make the long stretches of dialogue remotely interesting. Aside from the abhorrent CGI crowds, it isn't a visual disaster, it could be worse, but it could be so much better. Other dialogue heavy anime like the Monogatari Series utilize unique directing techniques and plenty of visual storytelling to engage the viewer in lengthy conversations between two characters. Strangely, Bunny Girl Senpai desires to be watched as a thoughtful supernatural character drama, but it plays out like a generic light novel romantic comedy, taking the worst aspects of each and failing to craft an original or worthwhile series. [Final Score: 4/10] Seishun Buta Yarou wa Bunny Girl Senpai no Yume wo Minai presents intruiging themes of how people treat and mistreat one another during adolescence. However, it fails to execute its best ideas successfully or in a compelling way due to terrible pacing, narrative structural issues, needlessly convoluted dialogue, mediocre presentation, and a thoroughly unlikable main character. If the author possessed half of the self-awareness he seems to think he has, this may not have been an overrated, cringy, bore-fest.
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More than ever, mobile games are relying on physics based gameplay in order to deliver a quality gaming experience. That's great and there are now a lot of games in the Play Store that will have you thinking hard on the your next move, and how physics is going to affect your gameplay. It's these sort of games that exploit our touchscreens more than ever, which is great as more people adopt 7-inch tablets, and our smartphones get bigger and bigger, touch is the best control scheme. Read on to see if Catch the Candy is a game that has everything you look for in a game.
Description: Catch the Candy is a best on a hit Flash game from the web but, this is a full Android game and the controls are easy to master. You're tasked with helping the cute creature get a hold of the candy so that he so craves. Using his tail, you can push and pull obstacles in order to get to the candy, it starts off easy but, you'll have to try harder and harder as the game goes on. With a whopping 58 levels and 40 achievements, there's a lot to do, read on to see how Catch the Candy will have you coming back for more.
The first thing you'll notice is how nice the game looks, as you move on to the main menu you see more of the clean graphics.
From the main menu you'll see the fun looks and also you'll meet the creature that you'll be helping get his candy. When you hit Play you'll be taken to the level select screen and then you'll be asked to select a level to play. The first level will easily tell you how to play the game.
Essentially all you have to do is hold to drag or push object. Where you press on the screen, is where our little friend's tail will head to on the level. As you can see, things start off nice and simple but they soon get really quite difficult.
The levels are all quite varied and they push the boundaries of what you can do pushing and pulling object around. For instance, there is one level that has you negotiating around an Apple tree.
What's really great about the game is that there's only a certain amount of time to do the level to get 3 stars. The more time you take, the less stars you get...all the way down to nothing. To progress to more levels, you have to unlock more stars. This has great replay value.
Opinion: I love these sort of games, the type of game that asks very little of the user in order to have a lot of fun. I'm a big PC gamer and have a modest gaming rig but, these games that utilize touch and physics are perfect for the mobile platform. After all, onscreen controls aren't a lot of fun and I'm sure a lot of you would agree that playing Call of Duty on a phone isn't a great idea. Catch the Candy is a lot of fun and something you can enjoy on the commute, or with a cup of coffee after hours.
Speed (4/5) - Catch the Candy was quick on a number of devices and there were no issues while playing the game.
Features (5/5) - There might not be a huge amount on offer here but, the gameplay is solid and the levels are truly varied.
Theme (4/5) - Some added polish would be good but, Catch the Candy is a good-looking game with engaging visuals.
Overall (4/5) - Catch the Candy is a lot of fun and I can see both old and young enjoying the game alike.
Simple and easy controls makes learning to play easy and there's no steep learning curve here.
Varied level designs keeps players on their toes.
Differing materials to push and pull keeps players thinking on what to do next.
Some added polish would clean things up a little.
The soundtrack could be more lively.
Conclusion: I'm a big fan of casual games on smartphones and tablets, mostly because I do most of my gaming on the PC or Xbox so, on the go it's nice to take a step back and relax. The controls are easy to get to grips with and there's little to worry about when it comes to any hassle, because there is none. It's definitely a game I'd recommend and it's on sale right now so, what are you waiting for, go ahead and download it, now!


Today's blog post is inspired by my two amazing rescue animals: my cat Rum Tum and my dog Maisel.
Pets are like children in that they will get into literally anything they can. Before you bring a new pet into your home, you need to clean up everything off the floor. Trust me, no matter how small, they will find it. For us, we had to clean up Rum Tum's smaller toys because Maisel can actually swallow them. You will be surprised what went unnoticed in your cleaning efforts!
There are literally so many things you can DIY for your dog or cat that will cost you a fortune to purchase at a store. Maisel has a Kong, which is a rubber dog toy that you can fill with treats and different things. Kong sells this filling that can cost $6 for only two uses. Instead, I decided to use things like green beans and cream of chicken soup to fill it. You can also DIY toys, clothing, treats, and much more!
We've decided to give Maisel the house during the day and give Rum Tum the house at night. We also are slowly acclimating them to one another by letting them out at the same time under very watchful eyes. I think it is going pretty well. I really hope they will be best friends one day!
I adopted Maisel from a larger shelter in Charlotte, N.C. The shelter was having a "donate what you like" day because it was getting pretty full. When we were on the way home, I noticed that Maisel's nose was bleeding and she was sneezing. We called the shelter and they said she probably had kennel cough, which is like a cold for dogs that can progress into pneumonia.
We had to take her to a vet to get some medicine, and the vet did an exam on her. PetSmart and other clinics may offer a special general exam for your new animal. Have them checked out, especially if they will come in contact with other animals. Don't trust the shelter to have kept them up-to-date on everything.
Cats can be pretty low-energy and low-maintenance, which is why we never struggled with this before. Maisel requires a ton of energy and extra time. We used to spend a lot of our afternoon on the couch or watching something in the room. She, however, tends to misbehave or get into things when we don't show her enough attention or stimulate her through exercise. Be sure you're ready to take walks and play fetch!
At least with my animals, I try to steer clear of anything containing chicken.
Many of these products contain fillers that can cause allergies in your pets. I know it is true for Maisel and my brother's dog, Luna.
For Rum Tum, a scratching post/tower was awesome. She scratches that and not our furniture. For Maisel, we get those crinkly toys because she likes paper and plastic sounds. We also got her the Kong, which keeps her from tearing up a lot of things in her cage during the day.
Above everything else, be sure to love your adopted pets. Odds are, they were on the street or were surrendered by someone they really loved. They need the love and joy that comes with a new family!
Many of my friends will admit that they say two specific words a little bit too much: I'm sorry. It's become a sort of over-used phrase that we throw out there when we don't want to offend someone. But, those aren't the two words I believe we should stop using in 2019. You know what I think we need to stop using as often in 2019?
Because "I'm Sorry" has become a normal way to apologize or a normal phrase we throw out when we try not to offend someone, "It's OK" has become just as common. Why? Because we want to return politeness, or at least the idea of it, back to the person apologizing? Because it is a rational response to the question?
In today's post, I want to tell you why I think we all need to stop saying "It's OK" every time someone apologizes.
I've come to realize since December 2018 that not all people who say they are sorry are truly sorry. You will experience empty apologies from friends, family, and service workers. They don't actually mean it. They just feel like they have to say it to preserve their relationship with you or to keep your business. Of course, this isn't always true. I'm not saying that "I'm Sorry" isn't sincere from certain people. "I'm Sorry" and "It's OK" have both become like the phrases "I Love You" or "I'm Praying For You." They aren't often meant, but they are so easy to say when they are convenient.
You tell someone you love them or you are praying for them because you want them to feel loved or appreciated. The same can be said for when someone apologizes to you. Did they really mean it? Perhaps this is a bit of a cynical point of view. However, evidence shows me that most people are just concerned with what would be best for them. If that means avoiding an argument or maintaining a relationship that is beneficial for them, they will say whatever it takes.
The truth is, it is OK for something to not be OK. Everyone makes mistakes. But, perhaps if we were better about not saying "It's OK" after someone says "I'm Sorry," the power would be restored to the apology. It shouldn't be about just being polite. Some people are always going to be fine with inconveniencing you or hurting you to gain something for themselves.
- Your coffee has been sitting by the take out window for 10 or more minutes and the worker decides to walk off to talk to a coworker instead of taking 2 minutes to hand you your coffee so you won't be late for work.
- A company or venue goes against their own policy and thinks an "I'm Sorry" is good enough.
- A friend or family member says they are sorry for not liking someone you are in a relationship with.
- A friend or family member continually repeats the same action that hurts you and keeps saying they are sorry.
I could go on, but you get the gist.
I hope that today's blog post will help you to be more cautious is saying "It's OK" when someone does something they truly aren't sorry for. However, I hope it also helps you to be more conscientious of when to use the words "I'm Sorry."
The truth is, sometimes we aren't sorry. We should stop throwing around that word for the sake of politeness. Sometimes, you don't need to apologize for something, especially if it is out of your control. You don't need to apologize for something you aren't truly sorry for. But we all do it. It will take getting used to, but I'm determined to make it happen this year. I'm determined to restore the power of the apology by limiting my use of "I'm Sorry" and "I'm OK." I hope you are too!


text:
Q: get all tag name on click event I write a code to add click event to all tags in page with js.
function modifyText(obj) {
  console.log(obj.target.tagName);
}

var el = document.body.getElementsByTagName("*");
console.log(el);
for (var i=0 ;i<el.length; i++){
  el[i].addEventListener("click", modifyText, false);
}

In modifyText function I wanna to get any tags that clicked on it.
for example in this html

    salaaaaam this is a test for add a click event to all tags in pages.

I wanna to print "I , B, H3 , DIV" when click on

this is a test

but I get something like this "I ,I ,I ,I".
JSFIDDLE
can anybody help please?
Thanks.

A: That is because event.target will refer to the element that actually triggered the event.
You can use this or event.currentTarget to refer to the element to which the handler is bound.

function modifyText(e) {
  snippet.log(this.tagName + ' || ' + e.currentTarget.tagName);
}

var el = document.body.getElementsByTagName("*");
console.log(el);
for (var i = 0; i < el.length; i++) {
  el[i].addEventListener("click", modifyText, false);
}

    salaaaaam this is a test for add a click event to all tags in pages.

A:  function getTextNode(p) {
     p.onclick = function modifyText(obj) {
         console.log(obj.target.tagName);
     }
     var childArr = p.childNodes;
     for (var i = 0; i < childArr.length; i++) {
         textNodeArr = getTextNode(childArr[i]);
     }
     return;
 }

 arr = getTextNode(document.body);

A: Adding a listener to all element is quite expensive and wouldn't work for newly added elements
What i would do is add one listener on top and go from there
document.addEventListener('click', evt => {
    var elm = evt.target
    var els = []
    while (elm.tagName) {
        els.push(elm.tagName)
        elm = elm.parentNode
    }
    alert(els)
}, false)

redpajama_set_name: RedPajamaStackExchange


Graeme Le Saux believes Eden Hazard is more effective in a left-wing position in the Chelsea FC team.
The Belgium international has been used in a central role in Maurizio Sarri's attack over the past month or so.
The Chelsea FC manager has been forced to use his best player in an unorthodox role due to the inconsistent form of strikers Alvaro Morata and Olivier Giroud.
The 27-year-old has scored nine goals and has made 10 assists in the Premier League this season to make a strong start under Sarri.
However, his goals have started to come less frequently since the number 10 was switched to a lone strike role in Sarri's team.
The Chelsea FC boss is adamant that Hazard is happy playing in the position despite traditionally being used as a winger.
Former Blues defender Le Saux believes Hazard is better suited to playing on the left wing, rather than as a striker.
"He is more effective and happier on the left," Le Saux told NBC Sport.
"He can watch play build up from a different angle. He can time his run. Once he moves, he is difficult for a defender to pick him up.
Chelsea FC were initially talked up as potential title challengers this season after Sarri's side made an impressive unbeaten start to the Premier League season.
However, the Blues have lost to Tottenham Hotspur, Wolves and Leicester City in the Premier League to fall out of the title race.
Chelsea FC are facing a battle to secure a top-four spot amid competition from Arsenal, while Manchester United have improved since Ole Gunnar Solskjaer's appointment.


Michael J. Louis published an article titled, "Unitized Curtain Walls and Their Limitations," in the January/February issue of Glass Magazine. In the article, Mike discusses a few common limitations and problems that are encountered with the use of unitized curtain walls and presents design considerations for addressing such problems. The limitations addressed are alignment, end dam reliability and weathertightness, and thermal bridging at stack details.