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Sunday, July 08, 2018 to Tuesday, July 10, 2018
Ronald Keijzer triumphed over a field of 901 entries to take home his first bracelet and a $475,033 payday in Event #69: $3,000 Pot-Limit Omaha 6-Handed. Keijzer, who hails from Amsterdam, is the fifth Dutch player in history to win WSOP gold. The seasoned cash player overcame a tough final table that included Scott Bohlman, who finished in third, and French pro Romain Lewis, who Keijzer defeated heads-up.
"I'm very happy. I love PLO tournaments and I came to Vegas especially for that," Keijzer said. "It was really fast. I joined the table with 1.8 million and in 20 minutes I had 4 million... I think my position on the table was just very good with my stack, the other stacks and a lot of ICM pressure."
The 26-year-old plays cash games exclusively at home, so a tournament outing is a rare treat, and in this case, it couldn't have been sweeter.
Final Table Results:
Chips were flying around in a matter of minutes once Day 3 action was underway. The first to hit the rail was 2012 November Niner Rob Salaburu, and he was swiftly followed by the likes of two-time bracelet winner Phil Galfond and Alex Bolotin. Pallas Aidinian was one of a small handful of women to enter this event, the only one to advance to Day 3, and she made her exit in 21st place. After Matt Stout fell in 19th, the remaining 18 players redrew for the final three tables.
Three-time bracelet winner Brock Parker departed in 17th place when he got his stack in with three Broadway cards headed by a suited ace only to see Scott Bohlman's low three-card rundown make a straight to send him packing.
Jan-Peter Jachtmann was the next to go. He made his exit when he flopped trip eights and got the chips in against Martin Kozlov, who had flopped a flush draw and caught up on the river. However, Kozlov lost a huge pot to Romain Lewis shortly thereafter, and busted in 13th when Lewis made the nut flush to Kozlov's jack-high flush, with all the chips going in preflop.
After the two-table redraw, Irish player Dermot Blain was the next to go. He got his stack in the middle preflop with a king-high rundown but Mohammad Abedi made a winning straight by the time the last card fell.
Blake Whittington, who began Day 3 just a hair under the chip lead, busted in 11th when Abedi cracked his aces with king-nine-seven-five after the two players got stacks in preflop.
German bracelet winner Christopher Frank departed in 10th when he flopped an open-ended straight draw but couldn't improve against the eventual winner's overpair.
Jonathan Depa fell next when he got the chips in preflop with dry kings, Keijzer flopped a boat, and the turn and river were blanks.
The next casualty was another one of Keijzer's; Ben Palmer got the last of his short stack in preflop with aces only to see Keijzer flop the nut straight (the turn and river were irrelevant).
The final seven players took their dinner break before the action at the unofficial final table got underway on the Brasilia stage. After they reconvened, PLO bracelet winner Tommy Le was dispatched by Ryan Lenaghan. The two players got stacks in before the flop, and although both had made a flush by the time the final card fell, Lenaghan's was queen-high and Le's was ten-high.
However, Lenaghan's good fortune didn't last, and he was eliminated in sixth when he ran into Bohlman's flopped set of eights holding just a pair of aces.
James Chen was Keijzer's next victim; he departed in fifth place when he got his stack in preflop with kings, the eventual champion flopped a king-high flush, and the turn and river were no help.
Mohammad Abedi busted in fourth when he got his chips in with a flopped open-ended straight draw against Keijzer's pair of kings and couldn't improve.
Scott Bohlman, who won his first career bracelet earlier this summer, ended up as the third-place finisher. Although he had the chip lead early in three-handed play, he eventually got his stack in preflop with aces against Romain Lewis, who held a suited ace with a pair of jacks and made a flush to take the pot.
Heads-up play was relatively short. It was a straight-versus-straight confrontation that ended it all; Lewis flopped a wheel wrap that filled in on the river, but Keijzer had turned Broadway and snap-called Lewis's river jam to end the tournament.
Although this was the final PLO tournament of the 2018 World Series of Poker, the no-limit hold'em/PLO mix is ongoing, and of course, the Main Event is ongoing with Day 7 on the horizon. Keep it here for continuing coverage of the rest of the action, brought to you by the PokerNews Live Reporting team.
Romain Lewis raised to 300,000 from the button and Ronald Keijzer called from the big blind.
The flop came and Keijzer checked. Lewis bet 350,000 and Keijzer called.
The turn brought the , Keijzer checked, Lewis bet 800,000, and Keijzer called.
The hit the river and Keijzer checked a third time. Lewis shoved and Keijzer instantly called with a covering stack. Lewis showed , having flopped a wheel wrap that filled on the river, but Keijzer tabled for turned Broadway to take the pot and end the tournament.
A recap of the day's action will be posted shortly.
After a handful of pots that haven't seen the chips getting in the middle, the first significant hand emerged when Ronald Keijzed opened to 250,000 and Romain Lewis defended his big blind.
Lewis check-called another 250,000 on the flop and the turn came . Lewis checked and Keijzer fired a second barrel worth 750,000. Lewis paused and then matched the price.
The fell on the river and both players tapped. "Just an ace," Lewis said, showing . Keijzer quickly rolled over for two pair, kings and fives and increased his chip lead.
Romain Lewis raised to 300,000 from the button, Scott Bohlman three-bet to 1,000,000 from the small blind, Lewis four-bet, and the rest of the stacks quickly went into the middle.
Romain Lewis:
Scott Bohlman:
Bohlman had the preflop advantage with his aces and Lewis needed to improve in order to stack him. The board ran out which gave Lewis the winning flush, so he took the pot to end Bohlman's deep run in this event.
Scott Bohlman opened to 250,000 on the button and Ronald Keijzer called in the small blind before both checked the flop.
Keijzer checked again when the appeared and Bohlman tossed out 500,000. Keijzer double checked Bohlman's remaining stack and then announced he was raising the maximum. Bohlman threw his cards away within a second.
Romain Lewis raised to 325,000 from the button, Ronald Keijzer three-bet from the big blind, Lewis four-bet, and Keijzer called to put himself at risk.
Romain Lewis:
Ronald Keijzer:
Lewis was ahead with the higher pair and Keijzer needed to improve to survive. The board ran out to give Keijzer a flush to take the pot and double through Lewis.
Ronald Keijzer completed from the small blind and called when Romain Lewis made it 300,000. They saw the hit the felt and Lewis fired another 450,000. Keijzed called and the turn and river were both checked through. Lewis exposed for a nut straight and that secured him the pot as Keijzer didn't have diamonds.
Ronald Keijzer completed the small blind and Romain Lewis checked his option.
The flop came and each player put in 125,000.
The turn brought the and Keijzer checked. Lewis bet 410,000 and Keijzer called.
The hit the river and both players checked. Keijzer tabled and his hand was good enough to win the pot.
Ronald Keijzer made it 200,000 on the button and Romain Lewis countered with a three-bet of 680,000 in the small blind. Keijzer called and they checked down the flop and turn of the board. Lewis then fired 1,100,000 on the river and Keijzer tanked for a bit before finally giving up, much to the amusement of the French player's rail.
Ronald Keijzer completed the small blind and Romain Lewis checked his option.
The flop came and Keijzer bet 100,000. Lewis raised to 325,000 and Keijzer called.
Both players checked the turn and river. Lewis flipped over for queens and sevens, and his hand was good enough to win the pot.
Scott Bohlman limped from the big blind and all three players saw the flop land for cheap. Bohlman bet 150,000 in position and both Ronald Keijzer and Romain Lewis called to see the turn.
The action was checked to Bohlman again and he tossed in 300,000. Only Keijzer called this time as Lewis laid his hand down. The river saw a check from Keijzer and Bohlman took about a minute to figure out his bet-sizing. Then he placed in a bet of 700,000. Keijzer spent around two minutes thinking about the hand and then threw in calling chips.
"Full house," Bohlman announced and opened for tens full. Keijzer mucked and Bohlman took down a sizeable pot to vault into the chip lead.
Scott Bohlman limped the button, Ronald Keijzer completed the small blind, and Romain Lewis checked his option.
The flop fell and Keijzer checked. Lewis bet 225,000, and after some thought, Bohlman raised to 600,000. Both of his opponents folded in short order and he took the pot.
Mohammad Abedi potted under the gun and big blind Ronald Keijzer checked Abedi's stack before calling the 280,000-raise.
They got the rest of the chips to the middle on the flop with Abedi having only 500,000 or so.
Keijzer was ahead with a top pair but Abedi spiked some extra outs on the turn which gave him a flush draw. The river, however, bricked out and the sealed Abedi's fate as he walked away with the $137,954 fourth-place prize.
Romain Lewis raised to 250,000 from under the gun and Ronald Keijzer called from the small blind.
The flop came and both players checked.
The turn brought the and Keijzer bet 375,000. Lewis called.
The fell on the river and Keijzer announced a pot-sized bet. After verifying that it was 1.33 million, Lewis called.
Keijzer tabled and Lewis showed to for a set of jacks. The dealer pushed the pot to Lewis and he moved into the chip lead.
Players are in the midst of a 15-minute break.
Scott Bohlman limped from the first position and Romain Lewis checked in the big blind. Lewis check-called 75,000 on the flop and the turn remained check. The river brought a 100,000-bet from Lewis and Bohlman cut out a raise to 350,000. Lewis briefly considered his options and then folded.
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Somewhere between the irony of M.I.A ("I feel nothing while getting a tattoo / I am badder than Erykah Badu") and the high school braggadocio of Gwen Stefani a la Holla Back Girl but with pidgen slang. Trap has become the favourite variable to add to whatever native sub genres prevail in Africa. In this case Azonto, which producer Kuvie (one to watch closely btw) creates a "Trapzonto" hybrid with which he relaunches his muse.
This catchy single promises something of a second wind for the Tema-born twenty something singer who returned from long stints in the UK and the US to try and jump start a career in her birth country with mixed results.
Sarkodie's 16, which sounds like it could have been from any from his unending laundry list of features, seems redundant. The star here is that spunky and fresh new voice combined with Kuvie's stellar work on the boards.
Get a load of the Azonto's funnest reincarnation yet.

subset: commoncrawl


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4 Colours To Add To Your Bedroom This Summer
Posted by The Canningvale Team on 20th Dec 2019
When it comes to selecting the colour of your new quilt cover it's very easy to go for white, grey or neutrals, but sometimes it's fun to bring in a colour you wouldn't typically think of.
1. Deep Blue
Ideal for white or light coloured walls, this deep blue colour instantly creates a look of sophistication and style. All great year-round colour, this shade of blue is no longer just appearing in teenage boys' rooms, but also in beautiful, modern bedrooms. To lighten it up for Summer you can pair it with white sheets, or pale grey accessories and a touch of greenery beside the bed never goes astray.
2. Soft Pink
For those who gravitate towards anything pink, this pretty hue creates a calm, relaxed bedroom look. Being a little more subtle and serene than bright or hot pink, you can usually convince your partner that it's not that girly to get it across the line. You can pairing this colour with white and grey accessories to create what we call the 'Neapolitan' of bed linen.
3. Dusk Red
Red may not be a colour that you'd instantly think to use for your bedroom, but this dusk red changes everything. If you have a white quilt cover, use dusk red sheets underneath to bring something a little different to the look or be brave and choose red for your quilt cover. An absolute winner if you like to create relaxed, boho vibes.
4. Misty Blue
A fantastic option if you're looking to style a gender-neutral bedroom, this misty blue colour is light and calming, reminiscent of cool ocean hues. The beauty of this colour is that it can look very different depending on the light in the room. See below how the same colour bed linen can look quite different depending on the room.
You May Also Love:
-What Your Favourite Colour Bedlinen Says About You
-How To Arrange Your Bed For Summer
-What Type of Bedlinen Suits You According to Your Star Sign


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Capture your little one's smiles, giggles, and personality with a fabulous, one-of-a-kind baby session! From their first gummy smile, to their first wabbles that turn into steps, I'll help you remember those fleeting, precious moments. I take a lot of care in making sure that each of your sessions is a custom experience that fits your family's style!
When to Schedule a Portrait Session
The best time to schedule is about 6 weeks out from your session as dates book up quickly – especially for dates between August and September for those holiday cards! Baby milestones typically captured include 3 month, 6 month, 9 month and of course when they turn the ripe old age of ONE!
Typically, outdoor locations with colorful backgrounds make for the best backdrops for kids. Location ideas include Loose Park, Overland Park Arboretum, and Kauffman Gardens.
Time of Day
Assuming it's a sunny day, it's best to shoot either really early in the morning or late in the afternoon/evening as the sun sets. This gives the gorgeous golden lighting that I probably talk about too much. That said, don't vary too much from your typical schedule. (Read: Never interrupt naptime!) Don't worry if your session happens to be on an overcast day – sometimes that makes the most beautiful diffused lighting. It's soft and doesn't create harsh shadows. And it makes your skin looks gorgeous!
What to Wear
Stay simple. Think layers, patterns, and texture. Just don't try to match everyone in the same exact color.
Preparation Recommendations
Don't stress! We have plenty of time to capture amazing photos. Trust me, I take plenty, and I won't leave until we have them. Sometimes the best photos don't happen until 30 minutes into the session. And that's okay because they always happen. Kids can sense tension like nobody else, and they don't like it. Be prepared for me to photograph your kids one on one – away from the rest of the family. I seem to get the best natural shots that way.
Other Things to Consider Bringing Along
This is your chance to get creative. Think about ways to show off your baby's personality. Are you major Mizzou or Jayhawk fans? Bring along your gear as a second wardrobe option. Do you love hiking? Bring me along on your favorite trail. Don't forget to bring your kiddos favorites – babydolls, toys that make them giggle, even just their favorite song. These are guaranteed to help them have a good time.
Captured Moments
As your family photographer, I would capture all the beautiful details of your family The following are some shots I will take: family portrait, posed portraits, and candid portraits.
What Expect During the Session
Upon my arrival, I would find the best photographing spots and the best lights.
Please note that during the session, there may be several clothes change, and that we would try out various poses (thus, please expect some changing outdoors if we're in a field).
What Expect After the Session
In a couple of days, I will send you around two photos as a quick preview and would share some on my blog. Then, we would spend roughly two weeks time to carefully select and post-process the photos from the session. An online private gallery will be send to you for your preview and selection for your session package prints, photos or additional order. Upon receiving your order, it would take roughly two weeks to have your session prints and digital images ready. For custom items such as gallery canvas, custom framing, or albums, it may take 3-8 weeks (depend on the ordered item).
If you needed the photos ready earlier for special event (eg: printing your birth announcement cards, or sharing at full-moon party), please let me know so I can see if we can fit it in earlier.
Thank You
I pride myself on ensuring your portrait session will be a relaxing experience and your family will have so much fun naturally, that it will leave me to cpature those amazing moments. It is an honor and joy to meet so many families and I look forward to working with you in the future.
Check out my latest Kansas City Family Photography sessions here.


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The Occupational Safety and Health Administration is continuing to place an emphasis on its fall protection regulations and cracking down on employers who violate the standard. Read More »
Category: Fall Protection
Higher fines and increased frequency for fall protection violations likely in 2016
Employers should pay close attention to fall protection standards as fines on OSHA's most frequent violation will be going up in 2016. Read More »
Despite existing safety rules, workers don't feel obligated to report unsafe methods
A recent survey shed light on employees' thoughts on workplace safety. Read More »
As stadiums get larger, fall protection becomes more vital
Fall protection needs to be emphasized at stadium construction worksites. Read More »
Rig operators cannot relax
Oil rigs have to maintain safety even as the industry fluctuates. Read More »
Proper battery care critical to on-site communication and equipment maintenance
Portable electronic devices and hand-held machinery are typically powered by battery, whether it be a smaller 9-volt or a larger 24-volt pack. Read More »
3 Major Compliance Priorities for OSHA's Power Generation Safety Standard
As power companies update their safety plans for this year, they should include the updates to the electric power generation, transmission and distribution standard implemented by the … Read More »
3 Crucial Workplace Safety Steps to Take Before Inspections
In an interview with The Associated Press, the head of the U.S. Mine Safety and Health Administration noted a shift in the mining industry in improving … Read More »


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Hamilton Outdoor 33 lbs Circular Concrete Umbrella Base
Provide a shady and relaxing space to enjoy the great outdoors with your friends and family. Our umbrella base ensures that your umbrella will remain securely intact with style and practicality. Built out of solid iron and concrete, the thirty-three-pound base can accommodate an umbrella with a diameter of 5 feet and includes a base rod that features a tightening knob to easily secure your umbrella pole. This base is recommended to be used with a dining table to enhance your outdoor dining experience with your favorite outdoor umbrella.
CIRCULAR SHAPE: Featuring a smooth circular shape, our umbrella base offers a stylish addition to your outdoor space. Its smooth, round design creates a sleek accessory for your umbrella.
CONCRETE AND IRON: This umbrella base is constructed with iron and concrete for a heavy, solid structure that also offers a clean and stylish vibe. This has a weight of thirty-three pounds, ensuring a firm hold on your umbrella.
INCLUDES ADAPTERS: Our umbrella stand comes with two adapters to accommodate different diameter umbrella poles. This includes one 1.30" inch adapter and one 1.50" inch adapter. This base can hold an umbrella as large as 5 feet and also includes a tightening knob for a secure fit.
DIMENSIONS: Choose an accessory that is the perfect size for you and your furniture. This umbrella base is 17.72" L x 17.72" W x 2.75" H. This comes with a base rod that is 10.50 inches long for an overall height of 13.25 inches. You will love how much your space can transform with the simple addition of this umbrella base.
ASSEMBLY REQUIRED: Some assembly is required for this umbrella base. All of the instructions and tools needed for assembly are included.
- Includes: One (1) Umbrella Base
- Material: Concrete
- Support Pole Material: Iron
- Finish: Black
- Support Pole Finish: Black
- Weight: 33 lbs
- Umbrella size: Up to 5 Feet
- Hand-Crafted Details
- Assembly Required
- Dimensions: 17.72 inches deep x 17.72 inches wide x 13.25 inches high
Lead Time Temporary Delay
Due to the situation with COVID-19, handling times may be delayed for up to 14 days. All orders will be processed in the order they are received. If you have any questions, please feel free to contact our Customer Service team via submitting a ticket or email [email protected]. We appreciate your patience and are doing our best to ship all orders on time.
Free Fast Shipping
Free shipping is offered on all products. Most of the orders are shipped within 1 business day. It typically takes 1-5 transit days for delivery, depending on the region we are shipping to. 98% of our orders are delivered within 3 transit days.
Bulky products (e.g. large sofas or sectionals) are typically shipped within 3 business days and delivery may take up to 2 weeks, depending on the region we are shipping to.
Free 1-Year Returns
We guarantee your absolute satisfaction - 100% of the time. Everything listed on our site is unconditionally guaranteed. If you are not satisfied with the product you may return it within 1 year for exchange, credit, or a full refund. We will cover return shipping cost.
Please click here to read our complete return policy.


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Starbreeze Studios, who is responsible for publishing Payday 2, is signing up to publish Psychonauts 2.
The studio will invest $8 Million USD to Psychonauts 2, to bring it to the Xbox One, Playstation 4, and PC in 2018. After publishing, the studio will take %60 of all profits made by the game, while Tim Schafer's development studio, Double Fine, will retain the rights to the IP.
All of the news comes from a gameplay video released earlier this morning. So far, the game looks incredible given the short development window the game has had. Psychonauts 2 survives because of its crowd-funding campaign on Fig, accumulating more than $3.8 Million towards the development.
Psychonauts 2 releases in 2018 for the Xbox One, Playstation 4, and PC.


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- A unique garment : This Beige Boho Long Skirt has an exclusive Boho Design
- Model info : Ambre 175cm | 55 kilos.
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10th Australian Laureate Awards
- Nov. 21, 2017
Created in 2008 by IMG in partnership with the NSW Government the Australian Laureate Awards honors those who have made significant contribution and outstanding achievement within the Australian Fashion industry.
This year presented by Etihad Airways is the 10th Anniversary of the Australian Laureate Awards. On a beautiful night in Sydney a majestic candlelight dining room awaited guests arriving at The Cutaway in Barangaroo. Margaret Zhang who is a classically trained pianist known to most of us as a Stylist, Director and Photographer welcomed everyone with an exquisite piece designed for her fashion film "There's no space left in C# Minor" while highlights from her film played out behind her over two large screens.
Before the dinner commenced a runway retrospective show featured designs from the previous winners of the last 10 years including last year's winner Toni Maticevski, Akira Isogawa, Easton Pearson, Jenny Kee, Collette Dinnigan and Carla Zampatti.
The prestigious award this year was rewarded to now, New York based Dion Lee. He was selected from a group of fashion heavyweights who included Edwina McCann the Editor for Vogue, Kym Ellery, Luke Sales and Anna Plunkett the designers for Romance Was Born and Nicholas Huxley of the Design Studio.
Dion Lee was also in the running for Best Australian Womenswear which was awarded to Zimmerman. Other categories and winners included, Jac +Jack for Best Australian Menswear, Dinosaur Designs for Best Australian Accessories, Harrolds for best Australian Retailer and for the Ethiad Airways Emerging Talent Award: P.E Nation was given the accolade.
In celebrating the awards the retrospective collection showcased at the awards night is being presented in a special exhibition at the Museum of Applied Arts & Sciences (MAAS) also presented by IMG called Catalysts and Creators from 10 November to 11 March 2018.
Our Miro Door team were behind the scenes of this prestigious event assisting stylist Kelvin Harries and his team with the retrospective fashion show held during the evening. Watch out for upcoming articles highlighting Miro Door team members who have shared their experience in being part of the back of house support team for the 10th Australian Fashion Laureate.
- Nov. 21, 2017


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The Cuban capital of Havana conjures pictures of crumbling colonial architecture, 1950s Chevys, salsa and cigars. A visa is required prior entry into the nation and you may apply and pay for it on-line. The cost begins from $50. Tourists who do want a visa for a keep of 30 days of less in Kenya include tourists from Uganda, Ghana, Sierra Leone, Zambia, Botswana, Mauritius, Namibia, South African, Tanzania, Burundi, Seychelles, Lesotho, Malawi, Rwanda and Zimbabwe. Travellers who wish to visit Kenya, Rwanda and Uganda concurrently can apply for an East Africa Vacationer Visa at a cost of $100. Kenya's official language is Swahili and words and phrases to know can be found on the tourism web site so that travellers are able to talk with locals. Planning on your trip and bookings may be accomplished by way of the Tourism Kenya website or by way of a journey agent.
Malta's 16th-century citadel capital, the Unesco World Heritage metropolis of Valletta, is without doubt one of the European Capitals of Tradition 2018 ( ). A melting pot of European influences because it was built by the Knights of St John following the Great Siege of 1565, Valletta has lengthy packed a historical and inventive punch well above its weight. In 2018 this can be true in spades, with tons of of occasions – art of every kind, theatre, dance, opera and music, fireworks, meals and fun – in Valletta and throughout the nation.
It is not an overstatement that even a lifetime of journey just isn't sufficient to explore popular journey locations in India. Vast naturally-blessed landscapes and the various culture of the country never fail to awe-struck the guests. Excursions to India, each time, are merely new and memorable experiences. Each state of India boasts of its distinct particular touch and has to supply an unforgettable expertise to the travelers.
Malindi and Watamu are simply as breath-taking with best of tropical beaches, pearly white sands and relaxing hideaways. The islands boast with spectacular coral reefs and variety of marine life, in addition to the historic Gede Ruins in Watamu for a touch of the island's history. For the traveller who is wild at heart, immerse your self in chook watchers' paradise of Lake Nakuru and benefit from the wildlife sights at the courtyard of Mount Kilimanjaro, the Amboseli National Park.


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Finding a South Florida residential moving company is easy, but when you want the best quality, value, and service possible, go with Solomon & Sons Relocation! Our licensed and insured movers offer comprehensive solutions for relocations of any distance and complexity. Whether you are moving a few miles or out of the country, we will get you there safely and efficiently while striving to provide the most cost-effective moving plan possible. Our residential moving services include:
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We are a nationwide mover based in South Florida. We'll pick you up from any state in the Southeastern U.S. and move you anywhere in the U.S. or abroad.service areas


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- Shepherd Sheep Arch Christmas Ornament ORR133X83
Product Description
Shepherd Sheep Arch Christmas Ornament is about 2 3/4 inches tall. This wooden ornament was made in the Erzgebirge Mountain village of Seiffen Germany by the craftsmen at the Richard Glaesser woodshops.
Our German Christmas Ornaments designs and colors are outstanding and will last for generations. These designs are forever and a day.


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City Siege 4
Tags: Platform Games / Shooting Games / Alien Games / Gun Games / Action Games
Publisher: ArmorGames.com
Video Walkthrough
Setup your troop and use the gems that you have collected to upgrade your units. Make sure that your troop is well equipped for there are a lot of difficult missions that you need to accomplish.
No Instructions Provided
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Nara White Coat Tree
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Turns out, you don't have to branch out too far to make a big statement. This sleek, simple coat tree collects your outerwear treasures with streamlined class. And when its work is done, its crisp, white silhouette makes an impact as timeless as a tree. 6 wooden hooks set at varying heights create interest and add to the clean, geometric appeal, while the smart, weighted base support sturdiness. Lingering near the doorway never looked so good.


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Boston Rétro 22" Full Grain Duffel/Travel Bag
An example of everyone's favorite vintage duffle bag with canvas lining. This leather-based antique duffle bag includes one major big storage space, which includes a zip pocket to get more compact content on its flanks.
One front pocket for whatever is immediately important at hand, and also the particular hallmark concealed pocket inlining. This leather bag has luxurious yet still valuable practicability and features to be the perfect weekender vacation leather bag.
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12704 Coralberry Cv
4 Bedroom, 3 Bath
**NO STEPS TO YARD,RECENT KITCHEN REMODEL,ROOF,WATER HEATERS,CARPET, AC CONDENSER, OVERSIZED GARAGE*** Wide, pie-shaped lot in a private CUL-DE-SAC, this Steiner Ranch home is within a ½-mi. of local shopping, dining, schools, parks & community center via nearby trails. The inviting home is filled with large windows that fill rooms with natural light. An oversized flat yard with a deck and mature flora backs to a greenbelt for added privacy. Gorgeous Kitchen! New Countertops, Backsplash, Sink, Faucet.
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Loguru is a library which aims to bring enjoyable logging in Python.
Did you ever feel lazy about configuring a logger and used
print() instead?… I did, yet logging is fundamental to every application and eases the process of debugging. Using Loguru you have no excuse not to use logging from the start, this is as simple as
from loguru import logger.
Also, this library is intended to make Python logging less painful by adding a bunch of useful functionalities that solve caveats of the standard loggers. Using logs in your application should be an automatism, Loguru tries to make it both pleasant and powerful.
Table of contents¶
pip install loguru
- Ready to use out of the box without boilerplate
- No Handler, no Formatter, no Filter: one function to rule them all
- Easier file logging with rotation / retention / compression
- Modern string formatting using braces style
- Exceptions catching within threads or main
- Pretty logging with colors
- Asynchronous, Thread-safe, Multiprocess-safe
- Fully descriptive exceptions
- Structured logging as needed
- Lazy evaluation of expensive functions
- Customizable levels
- Better datetime handling
- Suitable for scripts and libraries
- Entirely compatible with standard logging
- Personalizable defaults through environment variables
- Convenient parser
- Exhaustive notifier
10x faster than built-in logging
Take the tour¶
Ready to use out of the box without boilerplate¶
The main concept of Loguru is that there is one and only one
For convenience, it is pre-configured and outputs to
stderr to begin with (but that's entirely configurable).
from loguru import logger
logger.debug("That's it, beautiful and simple logging!")
logger is just an interface which dispatches log messages to configured handlers. Simple, right?
No Handler, no Formatter, no Filter: one function to rule them all¶
How to add an handler? How to setup logs formatting? How to filter messages? How to set level?
One answer: the
add() function.
logger.add(sys.stderr, format="{time} {level} {message}", filter="my_module", level="INFO")
This function should be used to register sinks which are responsible of managing log messages contextualized with a record dict. A sink can take many forms: a simple function, a string path, a file-like object, a built-in Handler or a custom class.
Easier file logging with rotation / retention / compression¶
If you want to send logged messages to a file, you just have to use a string path as the sink. It can be automatically timed too for convenience:
It is also easily configurable if you need rotating logger, if you want to remove older logs, or if you wish to compress your files at closure.
logger.add("file_1.log", rotation="500 MB") # Automatically rotate too big file
logger.add("file_2.log", rotation="12:00") # New file is created each day at noon
logger.add("file_3.log", rotation="1 week") # Once the file is too old, it's rotated
logger.add("file_X.log", retention="10 days") # Cleanup after some time
logger.add("file_Y.log", compression="zip") # Save some loved space
Modern string formatting using braces style¶
Loguru favors the much more elegant and powerful
{} formatting over
%, logging functions are actually equivalent to
logger.info("If you're using Python {}, prefer {feature} of course!", 3.6, feature="f-strings")
Exceptions catching within threads or main¶
Have you ever seen your program crashing unexpectedly without seeing anything in the logfile? Did you ever noticed that exceptions occurring in threads were not logged? This can be solved using the
catch() decorator / context manager which ensures that any error is correctly propagated to the
def my_function(x, y, z):
# An error? It's caught anyway!
return 1 / (x + y + z)
Pretty logging with colors¶
Loguru automatically adds colors to your logs if your terminal is compatible. You can define your favorite style by using markup tags in the sink format.
logger.add(sys.stdout, colorize=True, format="<green>{time}</green> <level>{message}</level>")
Asynchronous, Thread-safe, Multiprocess-safe¶
All sinks added to the
logger are thread-safe by default. They are not multiprocess-safe, but you can
enqueue the messages to ensure logs integrity. This same argument can also be used if you want async logging.
logger.add("somefile.log", enqueue=True)
Fully descriptive exceptions¶
Logging exceptions that occur in your code is important to track bugs, but it's quite useless if you don't know why it failed. Loguru help you identify problems by allowing the entire stack trace to be displayed, including variables values.
The code:
logger.add("output.log", backtrace=True) # Set 'False' to avoid leaking sensitive data in prod
def func(a, b):
return a / b
def nested(c):
func(5, c)
except ZeroDivisionError:
Would result in:
2018-07-17 01:38:43.975 | ERROR | __main__:nested:10 - What?!
Traceback (most recent call last, catch point marked):
File "test.py", line 12, in <module>
└ <function nested at 0x7f5c755322f0>
> File "test.py", line 8, in nested
func(5, c)
│ └ 0
└ <function func at 0x7f5c79fc2e18>
File "test.py", line 4, in func
return a / b
│ └ 0
└ 5
ZeroDivisionError: division by zero
Structured logging as needed¶
Want your logs to be serialized for easier parsing or to pass them around? Using the
serialize argument, each log message will be converted to a JSON string before being sent to the configured sink.
logger.add(custom_sink_function, serialize=True)
bind() you can contextualize your logger messages by modifying the extra record attribute.
logger.add("file.log", format="{extra[ip]} {extra[user]} {message}")
logger_ctx = logger.bind(ip="192.168.0.1", user="someone")
logger_ctx.info("Contextualize your logger easily")
logger_ctx.bind(user="someoneelse").info("Inline binding of extra attribute")
Lazy evaluation of expensive functions¶
Sometime you would like to log verbose information without performance penalty in production, you can use the
opt() method to achieve this.
logger.opt(lazy=True).debug("If sink level <= DEBUG: {x}", x=lambda: expensive_function(2**64))
# By the way, "opt()" serves many usages
logger.opt(exception=True).info("Error stacktrace added to the log message")
logger.opt(ansi=True).info("Per message <blue>colors</blue>")
logger.opt(record=True).info("Display values from the record (eg. {record[thread]})")
logger.opt(raw=True).info("Bypass sink formatting\n")
logger.opt(depth=1).info("Use parent stack context (useful within wrapped functions)")
Customizable levels¶
Loguru comes with all standard logging levels to which
trace() and
success() are added. Do you need more? Then, just create it by using the
level() function.
new_level = logger.level("SNAKY", no=38, color="<yellow>", icon="🐍")
logger.log("SNAKY", "Here we go!")
Better datetime handling¶
The standard logging is bloated with arguments like
datefmt or
%(asctime)s and
%(created)s, naive datetimes without timezone information, not intuitive formatting, etc. Loguru fixes it:
logger.add("file.log", format="{time:YYYY-MM-DD at HH:mm:ss} | {level} | {message}")
Suitable for scripts and libraries¶
Using the logger in your scripts is easy, and you can
configure() it at start. To use Loguru from inside a library, remember to never call
add() but use
disable() instead so logging functions become no-op. If a developer wishes to see your library's logs, he can
enable() it again.
# For scripts
config = {
"handlers": [
{"sink": sys.stdout, format="{time} - {message}"},
{"sink": "file.log", "serialize": True},
"extra": {"user": "someone"}
# For libraries
logger.info("No matter added sinks, this message is not displayed")
logger.info("This message however is propagated to the sinks")
Entirely compatible with standard logging¶
Wish to use built-in logging
Handler as a Loguru sink?
handler = logging.handlers.SysLogHandler(address=('localhost', 514))
Need to propagate Loguru messages to standard logging?
class PropagateHandler(logging.Handler):
def emit(self, record):
logger.add(PropagateHandler(), format="{message}")
Want to intercept standard logging messages toward your Loguru sinks?
class InterceptHandler(logging.Handler):
def emit(self, record):
logger_opt = logger.opt(depth=6, exception=record.exc_info)
logger_opt.log(record.levelno, record.getMessage())
Personalizable defaults through environment variables¶
Don't like the default logger formatting? Would prefer another
DEBUG color? No problem:
# Linux / OSX
export LOGURU_FORMAT="{time} | <lvl>{message}</lvl>"
# Windows
setx LOGURU_DEBUG_COLOR "<green>"
Convenient parser¶
It is often useful to extract specific information from generated logs, this is why Loguru provides a
parse() method which helps dealing with logs and regexes.
pattern = r"(?P<time>.*) - (?P<level>[0-9]+) - (?P<message>.*)" # Regex with named groups
caster_dict = dict(time=dateutil.parser.parse, level=int) # Transform matching groups
for groups in logger.parse("file.log", pattern, cast=caster_dict):
print("Parsed:", groups)
# {"level": 30, "message": "Log example", "time": datetime(2018, 12, 09, 11, 23, 55)}
Exhaustive notifier¶
Loguru can easily be combined with the great
notifiers library (must be installed separately) to receive an e-mail when your program fail unexpectedly or to send many other kind of notifications.
import notifiers
params = {
"username": "firstname.lastname@example.com",
"password": "abc123",
"to": "firstname.lastname@example.com"
# Send a single notification
notifier = notifiers.get_notifier("gmail")
notifier.notify(message="The application is running!", **params)
# Be alerted on each error message
from notifiers.logging import NotificationHandler
handler = NotificationHandler("gmail", defaults=params)
logger.add(handler, level="ERROR")
10x faster than built-in logging¶
Although logging impact on performances is in most cases negligible, a zero-cost logger would allow to use it anywhere without much concern. In an upcoming release, Loguru's critical functions will be implemented in C for maximum speed.
API Reference¶
The Loguru library provides a pre-instanced logger to facilitate dealing with logging in Python.
from loguru import logger.
An object to dispatch logging messages to configured handlers.
Loggeris the core object of loguru, every logging configuration and usage pass through a call to one of its methods. There is only one logger, so there is no need to retrieve one before usage.
Handlers to which send log messages are added using the
add()method. Note that you can use the
Loggerright after import as it comes pre-configured. Messages can be logged with different severity levels and using braces attributes like the
str.format()method do.
Once a message is logged, a "record" is associated with it. This record is a dict which contains several information about the logging context: time, function, file, line, thread, level… It also contains the
__name__of the module, this is why you don't need named loggers.
You should not instantiate a
Loggerby yourself, use
from loguru import loggerinstead.
add(sink, *, level='DEBUG', format='<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>', filter=None, colorize=None, serialize=False, backtrace=True, enqueue=False, catch=True, **kwargs)[source]¶
Add an handler sending log messages to a sink adequately configured.
- sink (
file-like object,
class) – An object in charge of receiving formatted logging messages and propagating them to an appropriate endpoint.
- level (
str, optional) – The minimum severity level from which logged messages should be send to the sink.
- format (
function, optional) – The template used to format logged messages before being sent to the sink.
- filter (
str, optional) – A directive used to optionally filter out logged messages before they are send to the sink.
- colorize (
bool, optional) – Whether or not the color markups contained in the formatted message should be converted to ansi codes for terminal coloration, ore stripped otherwise. If
None, the choice is automatically made based on the sink being a tty or not.
- serialize (
bool, optional) – Whether or not the logged message and its records should be first converted to a JSON string before being sent to the sink.
- backtrace (
bool, optional) – Whether or not the formatted exception should use stack trace to display local variables values. This probably should be set to
Falsein production to avoid leaking sensitive data.
- enqueue (
bool, optional) – Whether or not the messages to be logged should first pass through a multiprocess-safe queue before reaching the sink. This is useful while logging to a file through multiple processes.
- catch (
bool, optional) – Whether or not errors occurring while sink handles logs messages should be caught or not. If
True, an exception message is displayed on
sys.stderrbut the exception is not propagated to the caller, preventing your app to crash.
- **kwargs – Additional parameters that will be passed to the sink while creating it or while logging messages (the exact behavior depends on the sink type).
If and only if the sink is a file, the following parameters apply:
- rotation (
function, optional) – A condition indicating whenever the current logged file should be closed and a new one started.
- retention (
function, optional) – A directive filtering old files that should be removed during rotation or end of program.
- compression (
function, optional) – A compression or archive format to which log files should be converted at closure.
- delay (
bool, optional) – Whether or not the file should be created as soon as the sink is configured, or delayed until first logged message. It defaults to
- mode (
str, optional) – The opening mode as for built-in
open()function. It defaults to
"a"(open the file in appending mode).
- buffering (
int, optional) – The buffering policy as for built-in
open()function. It defaults to
1(line buffered file).
- encoding (
str, optional) – The file encoding as for built-in
open()function. If
None, it defaults to
- **kwargs – Others parameters are passed to the built-in
int– An identifier associated with the added sink and which should be used to
Extended summary follows.
The sink parameter
sinkhandles incoming log messages and proceed to their writing somewhere and somehow. A sink can take many forms:
file-like objectlike
open("somefile.log", "w"). Anything with a
.write()method is considered as a file-like object. If it has a
.flush()method, it will be automatically called after each logged message. If it has a
.stop()method, it will be automatically called at sink termination.
- A file path as
pathlib.Path. It can be parametrized with some additional parameters, see below.
- A simple
lambda msg: print(msg). This allows for logging procedure entirely defined by user preferences and needs.
- A built-in
logging.StreamHandler. In such a case, the Loguru records are automatically converted to the structure expected by the
classobject that will be used to instantiate the sink using
**kwargsattributes passed. Hence the class should instantiate objects which are therefore valid sinks.
Note that you should avoid using the
loggerinside any of your sinks as this would result in infinite recursion or dead lock if the module's sink was not explicitly disabled.
The logged message
The logged message passed to all added sinks is nothing more than a string of the formatted log, to which a special attribute is associated: the
.recordwhich is a dict containing all contextual information possibly needed (see below).
Logged messages are formatted according to the
formatof the added sink. This format is usually a string containing braces fields to display attributes from the record dict.
If fine-grained control is needed, the
formatcan also be a function which takes the record as parameter and return the format template string. However, note that in such a case, you should take care of appending the line ending and exception field to the returned format, while
"\n{exception}"is automatically appended for convenience if
formatis a string.
filterattribute can be used to control which messages are effectively passed to the sink and which one are ignored. A function can be used, accepting the record as an argument, and returning
Trueif the message should be logged,
Falseotherwise. If a string is used, only the records with the same
nameand its children will be allowed.
The record dict
The record is just a Python dict, accessible from sinks by
message.record. It contains all contextual information of the logging call (time, function, file, line, level, etc.). Each of its key can be used in the handler's
formatso the corresponding value is properly displayed in the logged message (eg.
"INFO"). Some record's values are objects with two or more attributes, those can be formatted with
"{key}"would display one by default). Formatting directives like
"{key: >3}"also works and is particularly useful for time (see below).
Key Description Attributes elapsed The time elapsed since the start of the program See
exception The formatted exception if any,
extra The dict of attributes bound by the user (see
None file The file where the logging call was made
function The function from which the logging call was made None level The severity used to log the the message
line The line number in the source code None message The logged message (not yet formatted) None module The module where the logging call was made None name The
__name__where the logging call was made
None process The process in which the logging call was made
thread The thread in which the logging call was made
time The aware local time when the logging call was made See
The time formatting
To use your favorite time representation, you can precise it directly in the time formatter specifier of you handler format, like for example
format="{time:HH:mm:ss} {message}". Note that this datetime represents your local time, and it is also made timezone-aware, so you can display the UTC offset to avoid ambiguities.
The time field can be formatted using more human-friendly tokens. Those constitute a subset of the one used by the Pendulum library of @sdispater. To escape a token, just add square brackets around it, for example
"[YY]"would display literally
If no time formatter specifier is used, like for example if
format="{time} {message}", the default one will use ISO 8601.
Token Output Year YYYY 2000, 2001, 2002 … 2012, 2013 YY 00, 01, 02 … 12, 13 Quarter Q 1 2 3 4 Month MMMM January, February, March … MMM Jan, Feb, Mar … MM 01, 02, 03 … 11, 12 M 1, 2, 3 … 11, 12 Day of Year DDDD 001, 002, 003 … 364, 365 DDD 1, 2, 3 … 364, 365 Day of Month DD 01, 02, 03 … 30, 31 D 1, 2, 3 … 30, 31 Day of Week dddd Monday, Tuesday, Wednesday … ddd Mon, Tue, Wed … d 0, 1, 2 … 6 Days of ISO Week E 1, 2, 3 … 7 Hour HH 00, 01, 02 … 23, 24 H 0, 1, 2 … 23, 24 hh 01, 02, 03 … 11, 12 h 1, 2, 3 … 11, 12 Minute mm 00, 01, 02 … 58, 59 m 0, 1, 2 … 58, 59 Second ss 00, 01, 02 … 58, 59 s 0, 1, 2 … 58, 59 Fractional Second S 0 1 … 8 9 SS 00, 01, 02 … 98, 99 SSS 000 001 … 998 999 SSSS… 000[0..] 001[0..] … 998[0..] 999[0..] SSSSSS 000000 000001 … 999998 999999 AM / PM A AM, PM Timezone Z -07:00, -06:00 … +06:00, +07:00 ZZ -0700, -0600 … +0600, +0700 zz EST CST … MST PST Seconds timestamp X 1381685817, 1234567890.123 Microseconds timestamp x 1234567890123
The file sinks
If the sink is a
stror a
pathlib.Path, the corresponding file will be opened for writing logs. The path can also contains a special
"{time}"field that will be formatted with the current date at file creation.
rotationcheck is made before logging each messages. If there is already an existing file with the same name that the file to be created, then the existing file is renamed by appending the date to its basename to prevent file overwriting. This parameter accepts:
- an
intwhich corresponds to the maximum file size in bytes before that the current logged file is closed and a new one started over.
- a
datetime.timedeltawhich indicates the frequency of each new rotation.
- a
datetime.timewhich specifies the hour when the daily rotation should occur.
- a
strfor human-friendly parametrization of one of the previously enumerated types. Examples:
"1 month 2 weeks",
"4 days",
"monday at 12:00", …
- a
functionwhich will be called before logging. It should accept two arguments: the logged message and the file object, and it should return
Trueif the rotation should happen now,
retentionoccurs at rotation or at sink stop if rotation is
None. Files are selected according to their basename, if it is the same that the sink file, with possible time field being replaced with
.*. This parameter accepts:
- an
intwhich indicates the number of log files to keep, while older files are removed.
- a
datetime.timedeltawhich specifies the maximum age of files to keep.
- a
strfor human-friendly parametrization of the maximum age of files to keep. Examples:
"1 week, 3 days",
"2 months", …
- a
functionwhich will be called before the retention process. It should accept the list of log files as argument and process to whatever it wants (moving files, removing them, etc.).
compressionhappens at rotation or at sink stop if rotation is
None. This parameter accepts:
- a
strwhich corresponds to the compressed or archived file extension. This can be one of:
- a
functionwhich will be called before file termination. It should accept the path of the log file as argument and process to whatever it wants (custom compression, network sending, removing it, etc.).
The color markups
To add colors to your logs, you just have to enclose your format string with the appropriate tags. This is based on the great ansimarkup library from @gvalkov. Those tags are removed if the sink don't support ansi codes.
The special tag
<level>(abbreviated with
<lvl>) is transformed according to the configured color of the logged message level.
Here are the available tags (note that compatibility may vary depending on terminal):
Color (abbr) Styles (abbr) Black (k) Bold (b) Blue (e) Dim (d) Cyan (c) Normal (n) Green (g) Italic (i) Magenta (m) Underline (u) Red (r) Strike (s) White (w) Reverse (r) Yellow (y) Blink (l) Hide (h)
Description Examples Foreground Background Basic colors
Light colors
Xterm colors
<fg 86>,
<fg 255>
<bg 42>,
<bg 9>
Hex colors
<fg #00005f>,
<fg #EE1>
<bg #AF5FD7>,
<bg #fff>
RGB colors
<fg 0,95,0>
<bg 72,119,65>
Shorthand (FG, BG)
<red, yellow>,
<r, y>
Shorthand (Style, FG, BG)
<bold, cyan, white>,
The environment variables
The default values of sink parameters can be entirely customized. This is particularly useful if you don't like the log format of the pre-configured sink.
Each of the
add()default parameter can be modified by setting the
LOGURU_[PARAM]environment variable. For example on Linux:
export LOGURU_FORMAT="{time} - {message}"or
export LOGURU_BACKTRACE=NO.
The default levels attributes can also be modified by setting the
LOGURU_[LEVEL]_[ATTR]environment variable. For example, on Windows:
setx LOGURU_DEBUG_COLOR "<blue>"or
setx LOGURU_TRACE_ICON "🚀".
If you want to disable the pre-configured sink, you can set the
LOGURU_AUTOINITvariable to
On Linux, you will probably need to edit the
~/.profilefile to make this persistent. On Windows, don't forget to restart your terminal for the change to be taken into account.
>>> logger.add(sys.stdout, format="{time} - {level} - {message}", filter="sub.module")
>>> logger.add("file_{time}.log", level="TRACE", rotation="100 MB")
>>> def my_sink(message): ... record = message.record ... update_db(message, time=record.time, level=record.level) ... >>> logger.add(my_sink)
>>> from logging import StreamHandler >>> logger.add(StreamHandler(sys.stderr), format="{message}")
>>> class RandomStream: ... def __init__(self, seed, threshold): ... self.threshold = threshold ... random.seed(seed) ... def write(self, message): ... if random.random() > self.threshold: ... print(message) ... >>> stream_object = RandomStream(seed=12345, threhold=0.25) >>> logger.add(stream_object, level="INFO") >>> logger.add(RandomStream, level="DEBUG", seed=34567, threshold=0.5)
- sink (
Remove a previously added handler and stop sending logs to its sink.
Parameters: handler_id (
None) – The id of the sink to remove, as it was returned by the
add()method. If
None, all handlers are removed. The pre-configured handler is guaranteed to have the index
ValueError– If
handler_idis not
Nonebut there is no active handler with such id.
>>> i = logger.add(sys.stderr, format="{message}") >>> logger.info("Logging") Logging >>> logger.remove(i) >>> logger.info("No longer logging")
catch(exception=<class 'Exception'>, *, level='ERROR', reraise=False, message="An error has been caught in function '{record[function]}', process '{record[process].name}' ({record[process].id}), thread '{record[thread].name}' ({record[thread].id}):")[source]¶
Return a decorator to automatically log possibly caught error in wrapped function.
This is useful to ensure unexpected exceptions are logged, the entire program can be wrapped by this method. This is also very useful to decorate
threading.Thread.run()methods while using threads to propagate errors to the main logger thread.
Note that the visibility of variables values (which uses the cool better_exceptions library from @Qix-) depends on the
backtraceoption of each configured sinks.
The returned object can also be used as a context manager.
- exception (
Exception, optional) – The type of exception to intercept. If several types should be caught, a tuple of exceptions can be used too.
- level (
int, optional) – The level name or severity with which the message should be logged.
- reraise (
bool, optional) – Whether or not the exception should be raised again and hence propagated to the caller.
- message (
str, optional) – The message that will be automatically logged if an exception occurs. Note that it will be formatted with the
decorator / context manager – An object that can be used to decorate a function or as a context manager to log exceptions possibly caught.
>>> @logger.catch ... def f(x): ... 100 / x ... >>> def g(): ... f(10) ... f(0) ... >>> g() ERROR - An error has been caught in function 'g', process 'Main' (367), thread 'ch1' (1398): Traceback (most recent call last, catch point marked): File "program.py", line 12, in <module> g() └ <function g at 0x7f225fe2bc80> > File "program.py", line 10, in g f(0) └ <function f at 0x7f225fe2b9d8> File "program.py", line 6, in f 100 / x └ 0 ZeroDivisionError: division by zero
>>> with logger.catch(message="Because we never know..."): ... main() # No exception, no logs ...
- exception (
opt(*, exception=None, record=False, lazy=False, ansi=False, raw=False, depth=0)[source]¶
Parametrize a logging call to slightly change generated log message.
- exception (
Exception, optional) – If it does not evaluate as
False, the passed exception is formatted and added to the log message. It could be an
Exceptionobject or a
(type, value, traceback)tuple, otherwise the exception information is retrieved from
- record (
bool, optional) – If
True, the record dict contextualizing the logging call can be used to format the message by using
{record[key]}in the log message.
- lazy (
bool, optional) – If
True, the logging call attribute to format the message should be functions which will be called only if the level is high enough. This can be used to avoid expensive functions if not necessary.
- ansi (
bool, optional) – If
True, logged message will be colorized according to the markups it possibly contains.
- raw (
bool, optional) – If
True, the formatting of each sink will be bypassed and the message will be send as is.
- depth (
int, optional) – Specify which stacktrace should be used to contextualize the logged message. This is useful while using the logger from inside a wrapped function to retrieve worthwhile information.
Logger– A logger wrapping the core logger, but transforming logged message adequately before sending.
>>> try: ... 1 / 0 ... except ZeroDivisionError: ... logger.opt(exception=True).debug("Exception logged with debug level:") ... [18:10:02] DEBUG in '<module>' - Exception logged with debug level: Traceback (most recent call last, catch point marked): > File "<stdin>", line 2, in <module> ZeroDivisionError: division by zero
>>> logger.opt(record=True).info("Current line is: {record[line]}") [18:10:33] INFO in '<module>' - Current line is: 1
>>> logger.opt(lazy=True).debug("If sink <= DEBUG: {x}", x=lambda: math.factorial(2**5)) [18:11:19] DEBUG in '<module>' - If sink <= DEBUG: 263130836933693530167218012160000000
>>> logger.opt(ansi=True).warning("We got a <red>BIG</red> problem") [18:11:30] WARNING in '<module>' - We got a BIG problem
>>> logger.opt(raw=True).debug("No formatting\n") No formatting
>>> def wrapped(): ... logger.opt(depth=1).info("Get parent context") ... >>> def func(): ... wrapped() ... >>> func() [18:11:54] DEBUG in 'func' - Get parent context
- exception (
Bind attributes to the
extradict of each logged message record.
This is used to add custom context to each logging call.
Parameters: **kwargs – Mapping between keys and values that will be added to the
Logger– A logger wrapping the core logger, but which sends record with the customized
>>> logger.add(sys.stderr, format="{extra[ip]} - {message}") 1 >>> class Server: ... def __init__(self, ip): ... self.ip = ip ... self.logger = logger.bind(ip=ip) ... def call(self, message): ... self.logger.info(message) ... >>> instance_1 = Server("192.168.0.200") >>> instance_2 = Server("127.0.0.1") >>> instance_1.call("First instance") 192.168.0.200 - First instance >>> instance_2.call("Second instance") 127.0.0.1 - Second instance
level(name, no=None, color=None, icon=None)[source]¶
Add, update or retrieve a logging level.
Logging levels are defined by their
nameto which a severity
no, an ansi
colorand an
iconare associated and possibly modified at run-time. To
log()to a custom level, you should necessarily use its name, the severity number is not linked back to levels name (this implies that several levels can share the same severity).
To add a new level, all parameters should be passed so it can be properly configured.
To update an existing level, pass its
namewith the parameters to be changed.
To retrieve level information, the
namesolely suffices.
Parameters: Returns:
Level– A namedtuple containing information about the level.
>>> level = logger.level("ERROR") Level(no=40, color='<red><bold>', icon='❌') >>> logger.add(sys.stderr, format="{level.no} {icon} {message}") >>> logger.level("CUSTOM", no=15, color="<blue>", icon="@") >>> logger.log("CUSTOM", "Logging...") 15 @ Logging... >>> logger.level("WARNING", icon=r"/!\") >>> logger.warning("Updated!") 30 /!\ Updated!
Disable logging of messages coming from
namemodule and its children.
Developers of library using Loguru should absolutely disable it to avoid disrupting users with unrelated logs messages.
Parameters: name (
str) – The name of the parent module to disable.
>>> logger.info("Allowed message by default") [22:21:55] Allowed message by default >>> logger.disable("my_library") >>> logger.info("While publishing a library, don't forget to disable logging")
Enable logging of messages coming from
namemodule and its children.
Logging is generally disabled by imported library using Loguru, hence this function allows users to receive these messages anyway.
Parameters: name (
str) – The name of the parent module to re-allow.
>>> logger.disable("__main__") >>> logger.info("Disabled, so nothing is logged.") >>> logger.enable("__main__") >>> logger.info("Re-enabled, messages are logged.") [22:46:12] Re-enabled, messages are logged.
configure(*, handlers=None, levels=None, extra=None, activation=None)[source]¶
Configure the core logger.
It should be noted that
extravalues set using this function are available across all modules, so this is the best way to set overall default values.
- handlers (
dict, optional) – A list of each handler to be added. The list should contains dicts of params passed to the
add()function as keyword arguments. If not
None, all previously added handlers are first removed.
- levels (
dict, optional) – A list of each level to be added or updated. The list should contains dicts of params passed to the
level()function as keyword arguments. This will never remove previously created levels.
- extra (
dict, optional) – A dict containing additional parameters bound to the core logger, useful to share common properties if you call
bind()in several of your files modules. If not
None, this will remove previously configured
- activation (
tuple, optional) – A list of
(name, state)tuples which denotes which loggers should be enabled (if state is
True) or disabled (if state is
False). The calls to
disable()are made accordingly to the list order. This will not modify previously activated loggers, so if you need a fresh start preprend your list with
("", False)or
("", True).
int– A list containing the identifiers of added sinks (if any).
>>> logger.configure( ... handlers=[dict(sink=sys.stderr, format="[{time}] {message}"), ... dict(sink="file.log", enqueue=True, serialize=True)], ... levels=[dict(name="NEW", no=13, icon="¤", color="")], ... extra={"common_to_all": "default"}, ... activation=[("my_module.secret": False, "another_library.module": True)] ... ) [1, 2]
- handlers (
parse(file, pattern, *, cast={}, chunk=65536)[source]¶
Parse raw logs and extract each entry as a
The logging format has to be specified as the regex
pattern, it will then be used to parse the
fileand retrieve each entries based on the named groups present in the regex.
- file (
file-like object) – The path of the log file to be parsed, or alternatively an already opened file object.
- pattern (
re.Pattern) – The regex to use for logs parsing, it should contain named groups which will be included in the returned dict.
- cast (
dict, optional) – A function that should convert in-place the regex groups parsed (a dict of string values) to more appropriate types. If a dict is passed, its should be a mapping between keys of parsed log dict and the function that should be used to convert the associated value.
- chunk (
int, optional) – The number of bytes read while iterating through the logs, this avoid having to load the whole file in memory.
dict– The dict mapping regex named groups to matched values, as returned by
re.Match.groupdict()and optionally converted according to
>>> reg = r"(?P<lvl>[0-9]+): (?P<msg>.*)" # If log format is "{level.no} - {message}" >>> for e in logger.parse("file.log", reg): # A file line could be "10 - A debug message" ... print(e) # => {'lvl': '10', 'msg': 'A debug message'} ...
>>> caster = dict(lvl=int) # Parse 'lvl' key as an integer >>> for e in logger.parse("file.log", reg, cast=caster): ... print(e) # => {'lvl': 10, 'msg': 'A debug message'}
>>> def cast(groups): ... if "date" in groups: ... groups["date"] = datetime.strptime(groups["date"], "%Y-%m-%d %H:%M:%S") ... >>> with open("file.log") as file: ... for log in logger.parse(file, reg, cast=cast): ... print(log["date"], log["something_else"])
- file (
trace(_message, *args, **kwargs)¶
_message.format(*args, **kwargs)with severity
debug(_message, *args, **kwargs)¶
_message.format(*args, **kwargs)with severity
info(_message, *args, **kwargs)¶
_message.format(*args, **kwargs)with severity
success(_message, *args, **kwargs)¶
_message.format(*args, **kwargs)with severity
warning(_message, *args, **kwargs)¶
_message.format(*args, **kwargs)with severity
error(_message, *args, **kwargs)¶
_message.format(*args, **kwargs)with severity
critical(_message, *args, **kwargs)¶
_message.format(*args, **kwargs)with severity
log(_level, _message, *args, **kwargs)[source]¶
_message.format(*args, **kwargs)with severity
exception(_message, *args, **kwargs)[source]¶
Convenience method for logging an
'ERROR'with exception information.
start(*args, **kwargs)[source]¶
Deprecated function to
add()a new handler.
Deprecated since version 0.2.2:
start()will be removed in Loguru 1.0.0, it is replaced by
add()which is a less confusing name.
Project Information¶
Thank you for considering improving Loguru, any contribution is much welcome!
Asking questions¶
If you have any question about Loguru, if you are seeking for help, or if you would like to suggest a new feature, you are encouraged to open a new issue so we can discuss it. Bringing new ideas and pointing out elements needing clarification allows to make this library always better!
Reporting a bug¶
If you encountered an unexpected behavior using Loguru, please open a new issue so we can fix it as soon as possible! Be as specific as possible in the description of your problem so we can fix it as quickly as possible.
An ideal bug report includes:
- The Python version you are using
- The Loguru version you are using (you can find it with
- Your operating system name and version
- Your development environment and local setup (IDE, Terminal, project context, anything that could be useful)
- Some minimal reproducible example
Implementing changes¶
If you are willing to enhance Loguru by implementing non-trivial changes, please open a new issue first to keep a reference about why such modifications are made (and potentially avoid unneeded work). Then, the workflow would look as follow:
Fork the Loguru project from GitHub
Clone the repository locally:
$ git clone firstname.lastname@example.com:your_name_here/loguru.git $ cd loguru
Activate your virtual environment:
$ python -m virtualenv env $ source env/bin/activate
Create a new branch from
$ git checkout master $ git branch fix_bug $ git checkout fix_bug
Install Loguru in development mode:
$ pip install -e .[dev]
Implement the modifications wished. During the process of development, honor PEP 8 as much as possible.
Add unit tests (don't hesitate to be exhaustive!) and ensure none are failing using:
$ pytest tests
Remember to update documentation if required
Update the
changelog.rstfile with what you improved
commityour changes,
rebaseyour branch on
pushyour local project:
$ git add . $ git commit -m 'Add succinct explanation of what changed' $ git rebase master $ git push origin fix_bug
Finally open a pull request before getting it merged!
MIT License
Copyright (c) 2017
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
0.2.3 (2018-12-16)¶
- Add support for PyPy
- Add support for Python 3.5
- Fix incompatibility with
awscliby downgrading required
coloramadependency version (#12)
0.2.2 (2018-12-12)¶
0.2.1 (2018-12-08)¶
- Fix typo preventing README to be correctly displayed on PyPI
0.2.0 (2018-12-08)¶
- Remove the
parserand refactor it into the
- Remove the
notifierand its dependencies, just
pip install notifiersif user needs it
0.1.0 (2018-12-07)¶
- Add logger
- Add notifier
- Add parser
0.0.1 (2017-09-04)¶
Initial release


text:
29 November 2011 - A report issued today by a major humanitarian coalition calls for barriers to health services to be removed.
"Eliminating health inequities: every woman and every child counts" a report by the International Federation of Red Cross and Red Crescent Societies and the Partnership for Maternal, Newborn & Child Health (PMNCH), hosted by the World Health Organisation , paints a stark picture of global health inequities. The report focuses on women and children not only because many suffer undue hardship, but also because women are instrumental in improving the health of their children, families and communities.
"Women, mothers and adolescent girls are too often subjected to stigma and discrimination and denied access to health care. In some countries they are required to have spousal or parental permission to access health services such as sexual and reproductive healthcare. Community-based volunteers can reach the unreached by tailoring a response to their specific context. And it works even in the most unexpected places around the globe as described by the case studies featured in the report" said Matthias Schmale, Under Secretary General of the IFRC.
Carole Presern, Director of the PMNCH added that "Political commitment is essential in overcoming the fundamental economic and social barriers that prevent so many women and children from accessing the care to which they are entitled. The Global Strategy for Women's and Children's Health, launched by the UN Secretary-General in 2010, has prompted much greater recognition that reducing maternal and child deaths and reaching the Millennium Development Goals is fundamentally a political challenge, far less a technical one. It has since been impressive to see remarkable leadership by so many countries in committing to investment and policy change to improve equity and access, in line with Global Strategy goals. We need to move still faster, and to insist on accountability for such commitments, but the human rights message is clearly resonating."Stories on health inequities unfold everyday and here is a bleak reminder:A woman who is HIV positive and who suffered severe burns to 85 percent of her body is refused treatment at several hospitals. A young father reportedly dies from a tooth infection because he couldn't afford his medication, offering a sobering reminder of the importance of oral health and the number of people without access to universal health coverage. Injecting drug users in some places are caged together on double-decker bunks with no way out but to endure the agonies of withdrawal. This is only a first step in a harsh, coercive approach to drug treatment. Yet there is scientific evidence that harm reduction programme works.
Children born in rural areas or urban slums, children born to mothers with lower levels of education, and children born to families with lower incomes fare worse than others. For example, from a selection of countries where data is available in Africa, Asia and the Americas, a child born to the wealthiest 20 per cent of households is more than twice as likely to reach the age of five compared to children born to the poorest 20 per cent of households in urban areas. In Europe, similar trends are observed: under-five mortality rates are at least 1.9 times higher among the poorest 20 per cent of households than among the richest 20 per cent.
This issue will be addressed by the 31st International Conference of the Red Cross and Red Crescent in Geneva on Tuesday 29 November.
For more information:Please contact: Sadia Kaenzig, IFRC Senior adviser, Health communications, firstname.lastname@example.com +41792173386 (mob)Lori McDougall, Senior Technical Officer , Policy and Advocacy, the Partnership for Maternal, Newborn & Child Health, firstname.lastname@example.com; +41-79-206-1320 (mob)
About the IFRC
The International Federation of Red Cross and Red Crescent Societies is the world's largest humanitarian network and is guided by seven Fundamental Principles: Humanity, impartiality, neutrality, independence, voluntary service, universality and unity.
For staff
For journalists
For donors
Copyright 2020 - International Federation of Red Cross and Red Crescent Societies - Legal Disclaimer - Fraud Notice


text:
Fall Volksmarch — Crazy Horse Memorial
CRAZY HORSE MEMORIAL, S.D. — So many, yet so few.
Well over a million people visit the Crazy Horse Memorial every year — but fewer, and less than two percent have the opportunity to hike up the mountain. They did today — for the seventh annual fall Volksmarch.
The day started off chilly and with a layer of fog, but that did nothing to stop people from coming out to the memorial. The Crazy Horse Volksmarch is the most popular organized hike in the United States and the summer event has been going on for nearly 40-years. The bi-annual walk allows visitors to get an up-close view of Crazy Horse, in fact, it is the only time visitors can hike the entire mountain.
The normal admission fee was waived to hikers in lieu of three cans of food per person, or three dollars. Hikers could also purchase medals to commemorate their walk. The hike is 6.2 miles, and not for the faint of heart. There were four stopping points where hikers could recuperate and buy drinks and snacks before moving on the long and taxing hike.
Visitors of all ages were present. Some folks have participated several times and have seen the changes made over the years.
Sally Colhoff, has hiked the mountain 6-times and was accompanied by her husband. She says, "I brought my dad's walking stick, and he passed away 3 years ago, so it's really kind of cool that I've got to that to come up to the mountain with. I just really love being out here in the hills and everything, and seeing this beautiful monument.
In attendance was the grandson of sculptor Korczack Ziolkowski, Vaughn Ziolkowski. He works as a member of the mountain carving crew and offered a unique perspective of the mountain and the Volksmarch. He says"I love getting to be a part of something that is trying to right a social injustice, personally. I think that's really important, because what was done to the Native American's was really egregious. So, getting to be a part of something that's aiming at giving back to them is really great. And then on a lighter side, I love getting to work outside and work with my hands too. So, it's really a great fit for me,"
Ziolkowski also encourages the public to visit Crazy Horse and experience the Native American culture. He mentions the mountain carving, but also the university which hosts students every summer and the museum.


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Last week I purchased black cardboard paper and gold metallic magic marker with the intention of actually hand draw a design vs digitally manipulating images. I ended up doing both and hand drawing and drawing on my iPad. The reason I ended up using my iPad is because scanning the black construction paper ended up with flecks of red and not true black. Ugh! The iPad color looked more bronze than gold, so while I was looking at both, trying to decide which to use, in walked in my 19 year old son who took one look at the construction paper drawing and he said he loved it and wanted a new iPhone 6/6s case with the design.
It took me a week, off and on, tweaking the colors on the black and gold to be, well, more black and gold. I just emailed my son the design and am waiting for final word on if we're placing an order or not. Having a teen love a design is in itself, gold!


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