Recently I’ve been stressed out with work and fancied trying a different approach to winding down rather than drinking myself into oblivion or smoking herb until I became a paranoid wreck. I also didn’t have access to my usual drug contacts so decided to find an alternative way of getting high for the weekend. I had heard through friends that a nice time can be had on codeine. Bearing this in mind, I asked round my circle of friends to look through their medicine cabinets in a bid to find some. The best I managed was twenty-five 8/300mg codeine tablets, the kind one can buy legally in the UK at the pharmacists in the form of co-codamal.
A mate explained to me the cold water extraction process that filters out the nasty paracetemol. However, I just couldn’t be arsed with what seemed like a load of hassle and decided not to bother. At this stage I was thinking about forgetting the whole thing and was on the verge of just going to the pub to get rat-arsed when my girlfriend’s mate called. Her best friend’s dad had shattered his knee-cap five years ago playing football and was given a load of dihydrocodeine for the post-op pain. Turns out he took his first dose and felt sick on them so never bothered with them. The pills were tossed away into the back of the bathroom cabinet and forgotten about for the next five years. Apparently nobody would miss them and no questions would be asked as to their whereabouts. Perfect!
The pills arrived within the hour. This gave me time to read up about the stuff online. The thing I noted was that many users took a fairly high amount (120mg-270mg) in order to get wasted. However, I didn’t fancy getting rushed to hospital to get a weekend stomach pump as a result of ODing. I started out with just one 30mg pill. Prior to ingestion of the substance I’d eaten lightly (toast and cup of tea) and had smoked one weed joint.
Twenty minutes after the first pill I felt a very slight feeling of warmth and well-being. I didn’t really feel the desire to do anything apart from watch TV. Smoking another joint increased the effects lightly and I decided to listen to music to see what effect DHC would have on it. Instantly I felt very into it and was nodding along to my favourite tunes quite happily. After an hour of this I decided to cuddle up to my girlfriend and felt quite contented. Eventually I fell asleep (mainly due to tiredness, not the DHC) and enjoyed a solid 8 hour sleep.
The first trial with DHC had gone well. However, I decided that the next time I’d up the dosage and attempt to achieve the euphoria reported by some users. The next day I took three 30mg pills and went out for a walk alone in the winter sun. Again after a short time (20 mins) I felt the same warmth growing in my body but this time it was more intense and pleasurable. Right way I was relaxed, in an excellent mood and felt at one with the world. The more I walked the better I felt. I swear I could feel the warm blood in body pumping from my feet to my head and round again. The beautiful colours in the afternoon sky seemed even more dazzling than usual. Any time I passed by someone they seemed to smile at me and say “good afternoon”. It was like DHC created a positive bubble around me that radiated out and touched those around me. Everything seemed so pleasant.
At one point the muscles in my legs seemed so loose that a couple of times I felt I was gonna fall over. The buzz I felt was comparable to the nice part of an MDMA trip, where everything is just so mellow. The difference was that there was no harshness to the trip as I sometimes get with MDMA where one minute I’m nicely relaxed then the next I get a full on speedy rush. DHC felt like one big warm hug.
Eventually I tired of walking around and decided to head home for a smoke. My girl commented on my pinshot eyes when I got in the door. “You look fucked” she said with a grin on her face. “I am” I replied with an even bigger comedy smile. She rolled me a fat one and we went to bed where we kissed, cuddled and eventually had sex. This surprised me as I’d been led to believe that painkillers such as DHC can render the user impotent. This was definitely not the case. If anything it increased both the desire and the pleasure. Maybe I just got lucky! Anyway, I really enjoyed my DHC high those two times, especially the second occasion. I was only given the four pills or else I would have done some more. Maybe it was just as well as these pills have the ability to be highly addictive.
Before I end this report there were a couple of minor negatives worthwhile mentioning. I noticed the second time I got quite an upset stomach afterwards. Not that this should be a surprise. Codeine is notorious for giving users constipation especially in larger doses. Secondly, I noticed a slight sore head the day after. I’m not sure if this was directly the result of DHC or not but thought I should mention it.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


We created Homebound because residential construction is costly, inefficient, and opaque, which results in a universally terrible experience. Homebound is a tech-enabled construction company, starting by rebuilding homes lost in natural disasters with a better labor model and a delightful homeowner experience. In just its first year, Homebound grew to over $200M in presales.


---
title: Alaska, Summer 2021
start_date: 2021-05-15
end_date: 2021-05-29
cities:
- Anchorage
- Seward
- Cooper Landing
- Denali
- Glacier View
- Juneau
featured_image: travel/alaska/anchorage/helicopter-glacier-side-cover.jpg
hero_image: travel/alaska/anchorage/helicopter-glacier-side.jpg
image_roots:
- alaska
redirect_from:
- /alaska/
---
After more than a year spent in various stages of quarantine, the summer of 2021 promised to be a return to normal. I got my second dose of the vaccine in March, and so when I was invited to a spend a week in Sitka, I thought "Why not extend the trip and really see Alaska?" With friends onboard with the plan (Lily, Yih-Jen, and Hugh), I set off for what was supposed to be a three week trip to the 49th state.
Due to some emergencies at work, my trip was shortened, and I never made it to Sitka, a serious regret. If I had made it, though, the trip would have been near perfect. We arrived at the very end of the shoulder season in fall, with snow melting and tourists largely scarce. We got to explore Anchorage, Kenai, Denali, and Juneau in brisk but not cold weather, perfect for a New Englander fleeing a sticky summer in New York.
Seward
We flew into Anchorage, where we rented a car and set of for our first stop: Seward, a town on the Kenai peninsula. We took our time driving down Alaska Route 1, stopping for photos along the way. On a whim, we stopped over in Whittier, a quaint town with a world-class gimmick: the longest (2.5 miles) highway tunnel in North America!
{% include resimg.html src="travel/alaska/anchorage/route-1-swamp.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/anchorage/route-1-train.jpg" class="with-viewer" %}
Near Anchorage, Route 1 is flanked by swampland and the Turnagain Arm of the Cook Inlet.
{% include resimg.html src="travel/alaska/seward/whittier-tunnel.jpg" class="with-viewer" %}
By land, Whittier is only accessible by a 2.5 mile single-lane tunnel. Cars take turns driving in each direction every 30 minutes.
{% include resimg.html src="travel/alaska/seward/whittier-portage-lake.jpg" class="with-viewer" %}
We hiked up to Portage Lake, a rapid ascent through a snow-capped mountain pass.
{% include resimg.html src="travel/alaska/seward/cooper-landing-porch.jpg" class="with-viewer" %}
When we reached our Airbnb (technically in Cooper Landing), we were greeted with a bright-blue river.
We woke up early the next day to get out on the water for an all day tour of Resurrection Bay and Kenai Fjords National Park. We booked with Seward Ocean Excursions and had an amazing time. We were four of just six guests on this small fishing boat that sped through the bay and out to Aialik Bay and the Chiswell Islands.
{% include resimg.html src="travel/alaska/seward/seward-harbour.jpg" class="with-viewer" %}
Seward harbor from the back of our boat.
{% include resimg.html src="travel/alaska/seward/seward-gap.jpg" class="with-viewer" %}
The rock formations at the end of Resurrection Bay were stunning.
{% include resimg.html src="travel/alaska/seward/seward-cliffs-wall.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/seward-coast-spikes-far.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/seward-coast-2.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/seward-coast-spikes.jpg" class="with-viewer" %}
The islands and cliffs in Kenai Fjords National Park had dramatic height and shape, formed from glacial activity.
{% include resimg.html src="travel/alaska/seward/seward-coast.jpg" class="with-viewer" %}
I love the way the light plays on the rock face.
{% include resimg.html src="travel/alaska/seward/kenai-glacier-front.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/kenai-glacier-side.jpg" class="with-viewer" %}
Kenai Glacier was quite impressive, but we had to keep our distance to avoid any falling ice.
{% include resimg.html src="travel/alaska/seward/seward-porpoises.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/seward-otters.jpg" class="with-viewer" %}
A highlight of our boat trip was the wildlife.
After arriving on land and warming up with some hot cocoa, we headed to Lowell Point, at the edge of town, for a short, flat hike through the forest.
{% include resimg.html src="travel/alaska/seward/seward-hike-wooden-bridge.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/seward-hike-woods.jpg" class="with-viewer" %}
Our short hike was welcome exercise after several hours sitting or standing still on a boat.
{% include resimg.html src="travel/alaska/seward/seward-hike-path.jpg" class="with-viewer" %}
The greenery was surprisingly lush!
{% include resimg.html src="travel/alaska/seward/seward-hike-field.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/seward-hike-river.jpg" class="with-viewer" %}
After a mile or two of hiking, the path opens up to a large riverbed. We walked down the riverbed to the beach.
{% include resimg.html src="travel/alaska/seward/seward-hike-treeline.jpg" class="with-viewer" %}
A view of a previously burned patch of forest from the beach.
Cooper Landing
We were staying in Cooper Landing, around 45 minutes driving from Seward. After a full day on the boat, we spend the next two hiking in Cooper Landing. We also thoroughly enjoyed a river raft tour from Kenai Riverdog.
{% include resimg.html src="travel/alaska/seward/cooper-landing-reflection.jpg" class="with-viewer" %}
About half way between Cooper Landing and Seward, there's an amazing pullover with a beautiful view of the Kenai Mountains.
{% include resimg.html src="travel/alaska/seward/cooper-landing-river.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/cooper-landing-tourguide.jpg" class="with-viewer" %}
Our river rafting tour took us right past our Airbnb!
 We packed some water and jackets for Slaughter Ridge Trail, a 5-mile, 2600-ft elevation gain. When we set off, Hugh pulled me aside and clued me in to his real plan. All I had to do was have my camera ready...
{% include resimg.html src="travel/alaska/seward/slaughter-group.jpg" class="with-viewer" %}
Pretty much every time you turn around, there was this beautiful view of the river and mountains.
{% include resimg.html src="travel/alaska/seward/slaughter-yj-hugh.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/slaughter-yj-hugh-top.jpg" class="with-viewer" %}
I took Yih-Jen and Hugh's photo several times along the trail. But what Yih-Jen didn't know was...
{% include resimg.html src="travel/alaska/seward/proposal.jpg" class="with-viewer" %}
Hugh would propose at the top!
{% include resimg.html src="travel/alaska/seward/proposal-yj-lily-dan.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/seward/proposal-ring-after.jpg" class="with-viewer" %}
He said yes! We couldn't be more excited for the two of them!
Anchorage
When we returned to Anchorage, the mood was celebratory. We enjoyed pastries at Fire Island Rustic Bakeshop, and had dinner at Kincaid Grill. We were also able to visit two top museums on our list: the Alaska Native Heritage Center and the Anchorage Museum.
{% include resimg.html src="travel/alaska/anchorage/alaska-native-heritage-center.jpg" class="with-viewer" %}
The Alaska Native heritage Center had impressive demonstrations of Alaska native culture and artifacts.
{% include resimg.html src="travel/alaska/anchorage/anchorage-art-museum-bears.jpg" class="with-viewer" %}
The Anchorage Museum blended art and history.
{% include resimg.html src="travel/alaska/anchorage/anchorage-art-museum-room.jpg" class="with-viewer" %}
The Alaskan contemporary art was some of my favorite.
As we left Anchorage, we set out for one of the most highly anticipated parts of our trip: visiting a dogsled camp on a glacier, only accessible by helicopter. Only an hour and a half from Anchorage, we set out for basecamp at Knik River Lodge.
{% include resimg.html src="travel/alaska/glacier-view/glacier-view-bridge.jpg" class="with-viewer" %}
We stopped at the side of the road to walk an abandoned bridge.
{% include resimg.html src="travel/alaska/anchorage/helicopter-grounded.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/anchorage/helicopter-pilot.jpg" class="with-viewer" %}
The four of us packed in to the largest helicopter they had, a six-seater, and took off for the glacier.
{% include resimg.html src="travel/alaska/anchorage/helicopter-glacier-from-bottom.jpg" class="with-viewer" %}
The glacier has a river of soil sediment running through center of it.
{% include resimg.html src="travel/alaska/anchorage/helicopter-glacier.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/anchorage/helicopter-ice-field.jpg" class="with-viewer" %}
We flew over the ice field, spotting little pools of clear glacial melt.
{% include resimg.html src="travel/alaska/anchorage/helicopter-glacier-side.jpg" class="with-viewer" %}
We were headed higher up into the mountains, and started to ascend after passing over the glacier.
By the time we got past the main glacier, the wind started really picking up. We heard on the radio that the smaller helicopter behind us had to turn around because of wind speed. We could feel the gusts pushing us around, but our pilot pushed through expertly, to a safe landing on glacier nestled between two mountains.
{% include resimg.html src="travel/alaska/anchorage/helicopter-close.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/anchorage/helicopter-landed.jpg" class="with-viewer" %}
The wind had died down by the time we landed.
{% include resimg.html src="travel/alaska/anchorage/dogs-houses.jpg" class="with-viewer" %}
Each dog has their own little house. Most of them were hanging out lying in the snow because it was hot (only 20°F).
{% include resimg.html src="travel/alaska/anchorage/dogs-group.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/anchorage/dogs-sledding.jpg" class="with-viewer" %}
After some mandatory pictures, we were off! The dogs were very excited to run.
{% include resimg.html src="travel/alaska/anchorage/dogs-running.jpg" class="with-viewer" %}
Most dogs were paired up with a running partner, except the rowdy ones that were by themselves.
{% include resimg.html src="travel/alaska/anchorage/dogs-lying-down.jpeg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/anchorage/helicopter-pose.jpg" class="with-viewer" %}
Left: A good boy. Right: Our departure.
Denali
From Knik, we continued north to Denali National Park. Denali had some of the worst weather of our trip, with snow blustering in, especially as we got deeper into the park. We had waited online for a small drop of permits to drive our own car past the Savage River Check Station to Teklanika on the second day, but on the first day we hiked the Savage River Alpine Trail.
{% include resimg.html src="travel/alaska/denali/hike-ascent.jpg" class="with-viewer" %}
We started at the Savage River Loop Trailhead, and started a switch-backing ascent.
{% include resimg.html src="travel/alaska/denali/hike-snow.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/denali/hike-narrows.jpg" class="with-viewer" %}
Left: The hike had a few spots with heavy snow, but it had been cleared by earlier hikers. Right: The path snaked between two large hunks of rock.
{% include resimg.html src="travel/alaska/denali/hike-trail.jpg" class="with-viewer" %}
The higher we got, the more things evened out.
{% include resimg.html src="travel/alaska/denali/hike-view.jpg" class="with-viewer" %}
From the top, we could see more mountains peaking out through the clouds.
{% include resimg.html src="travel/alaska/denali/hike-descent.jpg" class="with-viewer" %}
As we started our descent, small flakes of snow started to fall.
That snow continued on to the next day, when we were due to drive deeper into the park. We arrived early at the checkpoint and checked in with the staff. We learned later that if we had arrived a few minutes later, we might not have been let through! The snow ended up being fairly light, though, so we were able to explore the park by foot.
{% include resimg.html src="travel/alaska/denali/denali-road-group.jpg" class="with-viewer" %}
After parking our car at Teklanika, we started walking deeper into the park.
{% include resimg.html src="travel/alaska/denali/denali-road.jpg" class="with-viewer" %}
For a while, the weather was clear, and we had good views of the surrounding ranges.
{% include resimg.html src="travel/alaska/denali/denali-bridge.jpg" class="with-viewer" %}
But soon enough, a light snow returned.
{% include resimg.html src="travel/alaska/denali/denali-laughing-hugh-dan.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/denali/denali-laughing-lily-yihjen.jpg" class="with-viewer" %}
We took a few stock photos of us enjoying the park, and headed back to our car.
Glacier View
Spending a night glamping in the mountains was on our bucket list, and we were able to squeeze in a reservation the night before our flight to Juneau. If we'd know more about the place ahead of time, we definitely would have booked two nights. The campground, Alpenglow, is off-grid and has beautiful views of Matanuska Glacier.
{% include resimg.html src="travel/alaska/glacier-view/glacier-view-outlook.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/glacier-view/glacier-view-outlook-mountain.jpg" class="with-viewer" %}
We stopped at a pulloff on our way to Glacier View.
{% include resimg.html src="travel/alaska/glacier-view/glacier-view-tent.jpg" class="with-viewer" %}
The tents had a beautiful view; we were blown away by the location.
Juneau
After waking up content in our tents, we packed our things and drove down the the Anchorage airport. After a 90 minute flight, we landed in Juneau, the capital of Alaska and heart of the Southeast, a region of Alaska that felt more like the Pacific Northwest than like the untarnished frontier of the Anchorage area. Juneau is only accessible by plane or boat, and is a quite small town. Like most houses in Juneau, our Airbnb had great views of the Gastineau Channel.
{% include resimg.html src="travel/alaska/juneau/juneau-morning-light.jpg" class="with-viewer" %}
Golden hour at our Airbnb on Douglass Island.
{% include resimg.html src="travel/alaska/juneau/juneau-glacier-pass.jpg" class="with-viewer" %}
We did some hiking near the town center, including an ascent near Mendenhall Glacier.
{% include resimg.html src="travel/alaska/juneau/juneau-warf.jpg" class="with-viewer" %}
The next day, we drove a few minutes north to Mendenhall, where we took a whale watching boat into the channel.
{% include resimg.html src="travel/alaska/juneau/seals-far.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/seals-close.jpg" class="with-viewer" %}
From far away I wasn't sure what they were, but it turns out this brown pile was a big group of seals sunbathing!
{% include resimg.html src="travel/alaska/juneau/whales-scope.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/whales-spout-scope.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/whales-spout-steam.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/whales-hump.jpg" class="with-viewer" %}
To overcome the lack of a good zoom lens on my camera, I pressed my lens against some binoculars. It took a while to figure out, but eventually I got some good photos!
{% include resimg.html src="travel/alaska/juneau/whales-animated.gif" class="with-viewer" %}
Very thankful for live photos in this moment. Two whales swimming along the coast!
 We had originally wanted to go in a small fishing boat, but couldn't find a good crew to take us. But I'm quite glad we went the way we did. Our larger boat (with 15-20 passengers) was definitely the right call.
The first part of the trip was about an hour full speed through choppy water getting down from Juneau to the mouth of Tracy Arm. In a smaller boat I'm sure it would have taken us much longer and been way more uncomfortable. But the big boat really made a difference when we got further in. With an aluminum bottom, we easily pushed through the floating ice to get closer to the glacier than any other kind of boat could. It was amazing!
{% include resimg.html src="travel/alaska/juneau/cruise-glacier-glimpse.jpg" class="with-viewer" %}
Sawyer Glacier peaks out behind some rock at the end of Tracy Arm.
{% include resimg.html src="travel/alaska/juneau/cruise-mountains.jpg" class="with-viewer" %}
As we entered the arm, we were surrounded by steep verdant cliffs.
{% include resimg.html src="travel/alaska/juneau/cruise-valley.jpg" class="with-viewer" %}
Even the valleys had some snow on the ground.
{% include resimg.html src="travel/alaska/juneau/cruise-snowslide.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/cruise-waterfall.jpg" class="with-viewer" %}
Everywhere we looked there were waterfalls and glacial melt.
{% include resimg.html src="travel/alaska/juneau/cruise-waterfall-close.jpg" class="with-viewer" %}
Our captain took us within just a feet or two of these waterfalls.
{% include resimg.html src="travel/alaska/juneau/juneau-glacier-around.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/juneau-glacier-wide.jpg" class="with-viewer" %}
Towards the mouth, some much larger chunks of glacial deposit were still floating down the fjord.
{% include resimg.html src="travel/alaska/juneau/juneau-glacier-eagle.jpg" class="with-viewer" %}
I managed to catch some great photos of wildlife, including this bald eagle who had been camping out on the iceberg.
{% include resimg.html src="travel/alaska/juneau/cruise-bear-looking.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/cruise-bear-sitting.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/cruise-bear-climbing.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/cruise-bear-climbing-close.jpg" class="with-viewer" %}
I used a similar binocular technique to capture this friendly boy.
{% include resimg.html src="travel/alaska/juneau/cruise-floating-ice.jpg" class="with-viewer" %}
As we approached the glacier, the greenery was replaced with snow and ice.
{% include resimg.html src="travel/alaska/juneau/cruise-greenery.jpg" class="with-viewer" %}
{% include resimg.html src="travel/alaska/juneau/cruise-ice-field.jpg" class="with-viewer" %}
When we approached the end, I thought we'd stop, as we started to bump into little chunks of ice.
{% include resimg.html src="travel/alaska/juneau/cruise-glacier.jpg" class="with-viewer" %}
After about an hour of pushing through ice, we finally turned off the motor to sit and watch the glacier in silence. It was magnificent!
 The next morning, before heading to the Juneau airport, we made one quick stop to ride the tram, which was open for one of the first days of the season. It was a pretty quick trip, but gave us one last view of town before we headed out.
{% include resimg.html src="travel/alaska/juneau/juneau-town-view.jpg" class="with-viewer" %}
Juneau from the tram.


ARE¶
ARE 4.0 Review Manual¶
Overview¶
Each section has its own subpage up-top, for related notes for each section please see their respective pages under the SECTIONS
subnav selection, or review the table of contents below that represents the up-to-date list of all sections encompassed in these notes.
This is a work in progress and represents the current up to date notes that I have been taking for my upcoming venture into taking the ARE 4.0 exams. This is by no means and exhaustive resource for all ARE related information. Nor is any of this outright my work or words, merely just a single page for reference for all sections of the exam.
Table of Contents¶
To Come Soon


- feasible - Variable in class ml.optimization.PhaseIResult
-
- feedData(Matrix) - Method in class ml.classification.Classifier
-
Feed training data with original data matrix for this classifier.
- feedData(double[][]) - Method in class ml.classification.Classifier
-
Feed training data for this classification method.
- feedData(double[][][]) - Method in class ml.classification.MaxEnt
-
Feed features for this maximum entropy model.
- feedData(Matrix[]) - Method in class ml.classification.MaxEnt
-
Feed features for this maximum entropy model.
- feedData(Matrix) - Method in class ml.clustering.Clustering
-
Feed training data for this clustering algorithm.
- feedData(double[][]) - Method in class ml.clustering.Clustering
-
Feed training data for this feature selection algorithm.
- feedData(Matrix) - Method in class ml.recovery.MatrixCompletion
-
Feed an observation matrix.
- feedData(Matrix) - Method in class ml.recovery.RobustPCA
-
Feed an observation matrix.
- feedData(Matrix) - Method in class ml.regression.Regression
-
Feed training data for the regression model.
- feedData(double[][]) - Method in class ml.regression.Regression
-
Feed training data for this regression model.
- feedData(Matrix[][][]) - Method in class ml.sequence.CRF
-
Feed data sequences for training.
- feedData(int[][]) - Method in class ml.sequence.HMM
-
Feed observation sequences for training.
- feedData(Matrix) - Method in class ml.subspace.DimensionalityReduction
-
- feedData(double[][]) - Method in class ml.subspace.DimensionalityReduction
-
Feed training data for this dimensionality reduction algorithm.
- feedData(Matrix) - Method in class ml.temporal.SurvivalScoreModel
-
- feedData(Matrix) - Method in class ml.temporal.TemporalLogisticRegression
-
- feedDependentVariables(Matrix) - Method in class ml.regression.Regression
-
Feed training dependent variables for this regression model.
- feedDependentVariables(double[][]) - Method in class ml.regression.Regression
-
Feed training dependent variables for this regression model.
- feedIndices(Matrix) - Method in class ml.recovery.MatrixCompletion
-
Feed indices of samples.
- feedIndices(int[]) - Method in class ml.recovery.MatrixCompletion
-
Feed indices of samples.
- feedLabels(int[]) - Method in class ml.classification.Classifier
-
Feed labels of training data to the classifier.
- feedLabels(Matrix) - Method in class ml.classification.Classifier
-
Feed labels for training data from a matrix.
- feedLabels(double[][]) - Method in class ml.classification.Classifier
-
Feed labels for this classification method.
- feedLabels(int[][]) - Method in class ml.sequence.CRF
-
Feed labels for training data sequences.
- feedLabels(int[][]) - Method in class ml.sequence.HMM
-
Feed state sequences for training data.
- feedParams(int, double) - Static method in class ml.recommendation.FM
-
- feedParams(int, double, double) - Static method in class ml.recommendation.STSR
-
- feedScore(Matrix) - Method in class ml.temporal.SurvivalScoreModel
-
- feedScore(double[]) - Method in class ml.temporal.SurvivalScoreModel
-
- feedScore(int[]) - Method in class ml.temporal.SurvivalScoreModel
-
- feedScore(int[]) - Method in class ml.temporal.TemporalLogisticRegression
-
- feedScore(double[]) - Method in class ml.temporal.TemporalLogisticRegression
-
- feedScore(Matrix) - Method in class ml.temporal.TemporalLogisticRegression
-
- feedTime(Matrix) - Method in class ml.temporal.SurvivalScoreModel
-
- feedTime(Matrix) - Method in class ml.temporal.TemporalLogisticRegression
-
- feedTrainingData(DataSet) - Static method in class ml.recommendation.FM
-
- feedTrainingData(String) - Static method in class ml.recommendation.FM
-
Read a data set from a LIBSVM formatted file.
- feedTrainingData(String, int) - Static method in class ml.recommendation.FM
-
Read a data set from a LIBSVM formatted file.
- feedTrainingData(DataSet) - Static method in class ml.recommendation.STSR
-
- feedTrainingData(String) - Static method in class ml.recommendation.STSR
-
Read a data set from a LIBSVM formatted file.
- feedTrainingData(String, int) - Static method in class ml.recommendation.STSR
-
Read a data set from a LIBSVM formatted file.
- FileOrDirFilter - Class in ml.recommendation.util
-
- FileOrDirFilter(String) - Constructor for class ml.recommendation.util.FileOrDirFilter
-
- find(Vector) - Static method in class ml.utils.Matlab
-
Find nonzero elements and return their indices.
- find(Matrix) - Static method in class ml.utils.Matlab
-
Find nonzero elements and return their value, row and column indices.
- findPath(HashMap<Vertex<K>, HashMap<Vertex<K>, Double>>, Vertex<K>, Vertex<K>) - Static method in class ml.graph.MaximumFlow
-
Find a simple path from source s to sink t from the residual network Gf.
- FindResult - Class in ml.utils
-
A wrapper for the output of find function.
- FindResult(int[], int[], double[]) - Constructor for class ml.utils.FindResult
-
- first - Variable in class ml.utils.Pair
-
- fix(double) - Static method in class ml.utils.ArrayOperator
-
Round towards zero.
- fix(double) - Static method in class ml.utils.Matlab
-
Round towards zero.
- FloydWarshall(double[][]) - Static method in class ml.graph.AllPairsShortestPaths
-
The Floyd-Warshall algorithm relies on the following observation.
- FM - Class in ml.recommendation
-
A Java implementation of factorization machines (FM) by ALS.
- FM() - Constructor for class ml.recommendation.FM
-
- FordFulkerson(Graph<K>, Vertex<K>, Vertex<K>) - Static method in class ml.graph.MaximumFlow
-
The Ford-Fulkerson algorithm to solve the maximum flow problem.
- fprintf(String, Object...) - Static method in class ml.utils.Printer
-
Write a formatted string to the standard output (the screen).
- full(Vector) - Static method in class ml.utils.Matlab
-
- full(Matrix) - Static method in class ml.utils.Matlab
-


Because the table is able to render any content, you are responsible for adding the content to it. Next, we will explain how to build your own table.
First of all, you have to call the table component by writing the list of header items. On top of that, you can specify if the header is visible or not and if the rows can be sortable.
Once the table structure is defined, you have to add rows to your table. The rows have to be created using the tr tag according to the HTML table specifications. Moreover, the st-table-row attribute is needed in order to call our row component.
On the other hand, you can specify the content which appears when user puts the mouse over a row. This is specified with the selector st-table-row-hover.
Each created row will be a cell container. Cells are created using the td tag and st-table-cell attribute.
In order for the row to know where cells have to be displayed in, you have to add st-table-row-content -if you want to add a normal cell- or st-table-row-hover -if you want to show cell when user puts mouse over the row-.
Moreover, you can specify if row is displayed compacted or not.
Next you can see how a cell has to be defined.
Now that you know how to build each piece of our table, you can create your table adding as many rows and cells as you need. Next, you can see an example of a simple table with user data.


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So God does not exist and potency can be reduced to act by another act in a finite chain of movement.
So far we have analyzed objects that are partially potency and partially act. Can our finite chain of movement end with such earthly objects?
Yes, a chain of movement can end with an earthly object consisting of potency and act.
No, the chain must end with some mover with act but not potency.
Back


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
A deliciously-different anchovy tart, which partners well with a leafy salad for a light lunch.
Preheat the oven to 225C/450F/Gas 8.
Heat the clarified butter in a large ovenproof frying pan and layer the potatoes a circle until the base of the pan is covered.
Cover the potatoes with anchovies, making sure that they are skin-side up and that the tail is pointing towards the centre of the pan.
Scatter the majoram over the tart and then layer the tomatoes on top. Season to taste with salt and freshly ground black pepper and place in the oven for 6-8 minutes, or until the potatoes and anchovies are cooked through.
Blanch the basil in a large pan of salted boiling water for one minute, then drain and refresh in iced water.
Squeeze out excess water from the basil with a tea towel. Put the leaves into a blender with the olive oil and blend for two minutes, or until the mixture is smooth and vibrantly green. Then strain through a fine sieve.
To serve, mix the rocket with a little olive oil and place on top of a tart slice. Finally, drizzle with a little basil oil.


Responsive
CSS based responsivity with JavaScript backup and calculations.
Touch enabled
For mobile devices, tablets and monitors with touch display.
Retina ready
For devices with retina display.
Easy to use and customize
Easy code for input and deal with slider options. All customizations goes
over CSS.
Transitions
You can choose slider or fade effect. For every effect there is 30 various
transitions.
Autofit
Every image fullfil the slider. Depends on height and width of image, you can
expose upper, middle or lower part.
Fade/Slide
This slider have both type of sliding.
Content Detection
Automatic detection for image, video or content type of slide.
Pagination
CSS based look. Any customization goes over CSS code.


--- layout: post title: Jazz-Up Your CSS with Transitions categories: - Developer Deep Dive status: publish type: post published: true meta: _edit_last: '4' _aioseop_keywords: css, user interface _aioseop_description: In this post, I show you how to get started with CSS transitions, the modern replacement for JavaScript-based animation. _aioseop_title: Jazz-Up Your CSS with Transitions dsq_thread_id: '832438433' ---
While JavaScript has historically been the go-to technology for animating CSS properties, CSS 3 brings us transitions: a declarative syntax for defining the transition between styles.
Adding transitions to your CSS is quite simple. First, define the "start" and "end" states of your HTML elements as separate rules, like so.
{% gist 1114324 %}
Then, add the appropriate properties for transitioning your elements to both states (necessary since we'll be transitioning both to and from each state). Since the transitions specification hasn't been finalized, you'll need to add some vendor-specific rules to support the majority of modern browsers. I've found CSS3Please to be an invaluable resource for this, as I always forget the correct vendor syntax to use.
{% gist 1114331 %}
Each of these lines, for the browser it targets, sets the following properties for animation:
For your convenience, here's a JSFiddle so you can try it out yourself. Click on the "CSS" tab to see all the stylistic goodness and the "Result" tab to see it in action (assuming you're using a modern browser, of course).


{% extends "django_contactme/base.html" %} {% block title %}{{ block.super }} » confirmation sent{% endblock %} {% block content %}
A confirmation message has been sent to you. Please click on the link in the message to verify that your email address does exist and it is being used by a human being.
Thank you!
{% endblock %}


Mo Salah flies back from international duty amid injury concern
by Buzz ContributorMohamed Salah has made his trip back to Liverpool ahead of the weekend's Premier League clash with Crystal Palace.
The forward has been on international duty with Egypt, but played no part in their two scheduled fixtures due to an ongoing ankle injury.
Liverpool have been sweating over Salah's fitness for the Palace clash after he aggravated his injury during their last match with Man City.
Salah was seen with ice strapped to his ankle after the clash with City at Anfield just under a fortnight ago.
He then reported for duty with Egypt the following day, allowing Liverpool no time to properly assess the extent of the damage.
Egypt were hopeful that the 27-year-old would feature in their African Cup of Nations qualifiers against Kenya and Comoros, but he was ruled out and wore a protective boot as a precaution.
Liverpool physio Richie Partridge flew out to meet Salah and provide some form of treatment, but his rehabilitation has been limited away from the Reds' Melwood training base.
Salah posted images on his Instagram account of his flight back to the UK, including one of him at the airport, and others showing him playing the Playstation and watching films during the journey.
Jurgen Klopp revealed previously that Salah was having trouble completely healing himself of the injury, originally sustained at the beginning of last month following a heavy tackle from Leicester's Hamza Choudhury.
Each time Salah has exercised on the ankle since, Klopp claims there has been a build up of fluid around the joint.
He now has less than five days to shake off the problem and get match fit in time for the trip to Palace.
Liverpool face several other injury concerns ahead of Saturday's three o'clock kick-off at Selhurst Park.
Captain Jordan Henderson sat out England's qualifiers with Montenegro and Kosovo due to a viral infection, while Andy Robertson was absent for Scotland having also aggravated an old ankle issue.
Henderson is expected to be available to Klopp, along with Georginio Wijnaldum - who was also suffering from illness.
But a decision is still to be made on Robertson, with Liverpool likely to wait until 24 hours prior before making a judgement.
Joe Gomez is also working to recover from a knock to his knee, and is likely to be involved.


Ready-to-Wear It provides weekly new arrivals to match your current lifestyle. From work-wear to travel or your first profile in a magazine spread– we've got you covered.
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Removing a user from this list will remove them from all the organization's repositories.
DELETE /orgs/:org/outside_collaborators/:username
Status: 204 No Content
Status: 422 Unprocessable Entity
{
"message": "You cannot specify an organization member to remove as an outside collaborator.",
"documentation_url": "https://developer.github.com/v3/orgs/outside_collaborators/#remove-outside-collaborator"
}


coral species events thermal corals bleaching extreme temperature community branching adaptation communities cover traits different massive trait simulation initial disturbance reef change mechanical rates temperatures {border-style conditions Ecol. px;} years #ffffff;} LMST Scenario climate growth increase reefs Coral (Fig. future model space °C combinations environmental results scenario S). heat-tolerant time using effect end potential study Biol. Climate competition diversity dynamics fast-growing history influence simulated total used years. (RCP (see Science Table calculated colonies events. fast frequency heat indicates life life-history long-term occurrence px; {font-family (Appendix (i.e. Hoegh-Guldberg affected combination composition current evolution factor fast-adapting font-size increases increasing mortality occurred order reproduction required scenarios specific stress surface (). ./s--- . °C Appendix Chang. DHD MJH Mar. Oppen RCP Reef Sci. University [], base circle constant corals, decade did double; events, high higher i.e. increased indicate left mass organisms period properties relative resources survival van warming year Bay Change Evol. Fig. Nat. Reuter able adapt and, area based border-color border-width century data determined effects genetic given individual-based influenced mainly modelling rate role scleractinian sea similar simulations solid; species, species. survive survived triangle values {font-style {font-weight (-.). (i) (ii) ./j.-...x ./j.ecolmodel... ./science. .–. °C Acropora Commons Corals Creative Figure Global IPCC Lett. Loya Matz Modell. Nevertheless, Pocillopora Proc. absence adaptive approach area. assessed bold calculate changes climatic climatology complex conditions. consisted courier; covered em; explore favoured global grid.. heating important included individual levels likely low mean mechanisms models moderate neighbouring number occurring plasticity plots pt;} rate, resilience response rise scenarios, set shift simulate size slow-adapting studies sustain tolerance, use years,


Public Member Functions | |
| file_t (const std::string &file_name, file_settings set=file_settings()) | |
| constructs the file destination | |
| void | configure (const hold_string_type &str) |
ded_loger_one_filter.cpp, mul_loggers_one_filter.cpp, no_levels_with_route.cpp, ts_loger_one_filter.cpp, use_profiler.cpp, using_tags.cpp, and your_scenario.cpp.
| boost::logging::destination::file_t< convert_dest >::file_t | ( | const std::string & | file_name, | |
| file_settings | set = file_settings() | |||
| ) | [inline] |
constructs the file destination
| file_name | name of the file | |
| set | [optional] file settings - see file_settings class, and Dealing with flags. |
| void boost::logging::destination::file_t< convert_dest >::configure | ( | const hold_string_type & | str | ) | [inline, virtual] |
configure through script right now, you can only specify the file name
Reimplemented from boost::logging::manipulator::is_generic.


Dangerous Use of Eval
For this exercise, your mission is to come up with some input containing a script. You have to try to get this page to reflect that input back to your browser, which will execute the script. In order to pass this lesson, you must 'alert()' document.cookie.


This is my portfolio. I am a second year Computer Science and Engineer Major attending University of California, Merced.
I was born and raised in Southern California.
Some of my hobbies include playing tennis, going on hikes, and doodling. Recently I have enjoyed songwriting with my friends.
I also enjoy traveling! I have had the pleasure of visiting Canada, Brazil, Korea, Japan, and Thailand. The country I visit most comfortably is probably Thailand because I speak the language and have family there. I also do a lot of traveling within the states! Click below to see some pictures from my travels:
Travel Photo GalleryOne of my favorite shows is Brooklyn Nine-Nine. Click below to get a random quote from the show:


This web entity has {{webentity['nb_indexed_pages']|number}} indexed pages. It is cited by {{webentity['weighted indegree']|number}} other entities in the corpus and cites {{webentity['weighted outdegree']|number}}, for a total degree of {{webentity['weighted degree']|number}}.
{{result.text}}
{{topic}}


Input
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This page is designed so that you can easily create an openi permissions file to include in your mobile application. To create follow these steps:
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This is an account of what I did yesterday, after spending the morning reading up on it I decided to take 8 benadryl allergy pills and my friend took 6. It was about 12:40 noon, and I told him that it would probably make us sleepy to begin with, and we'll see what else it does.
I know I weigh more than him, so around 1:05 I guess I took another pill, making my total 9 and my friend took another (total of 7 now).
Waiting for it to kick in, nothing major happened. I felt kind of out of it, like I was 'on' something, and felt different than I did before I took the pills. But nothing major untill we stepped into my backyard.
The light from the sun was too intense, and I saw pink everywhere, I had to shield my eyes to make it to the tree in my backyard. We sat in the shade and talked about what we felt. He said he felt 'out of it' , and I compared it to maybe drinking 4 glasses or a couple beers, nothing too heavy.
We smoked a joint of kind bud then, not a big joint, just a little. I felt the effects immediately, and we made our way inside. It was now around 1:30.
I had the feeling for the rest of the day we werent going to accomplish much. I began to feel REALLY heavy and tired around 1:45 ~ 1:50 pm, when my friend showed up, we'll call him X. X doesn't do drugs, never has and probably wont, he couldn't tell we were messed up on anything. He hung around for a while, then my friend wanted to go somewhere so he put on his rollerblades and I got in the car with X and drove to the gas station.
The car ride was hilarious, I don't know if it was the marijuana, or maybe the benadryl..but the music he was playing was real good. It was a KMFDM album, and I had never listened to them before while on anything. What I was feeling was more the marijuana I think, the usual high feeling was completely gone by 2:00 pm.
We made our way back home, 2:20 now, and I sat down and couldnt move for an hour. We didnt talk, my friend X left soon after. I noticed my friend who had dosed 7 of the caplets, said he couldn't move even if he wanted to he just wanted to stay and watch TV. I got up around 3 pm, got something to drink and sat back down. When I hit the chair it felt like it was quicksand, I was pushed further down and down. I looked around the room, and I saw minor visuals, nothing too fantastic.
I usually get visuals from cannabis use, but it had been 90 minutes since I had smoked the joint, and I didn't feel anything anymore, just tired. The visuals happened when I would look above or below the TV, and then not focus my eyes. I forget what I saw, but I know it wasnt that big, it was a small area visual. I told my friend that the ingredients is the same they use in sleeping pills. He said 'no wonder' and layed back down.
The 3:00 hour passed really fast, and I had closed my eyes looking for visuals, I didnt see anything. Some lines were red, some were faint faint blue, everything else was black. I felt the afternoon had been wasted.
I couldn't talk, I couldn't focus on anything, coudln't move my legs (this was real, it took forever to stand up), and this was from 9 pills, which should have been a low medium dose from what i had read. Well, the day ended around 5:00 pm when I made my way to my room and fell asleep on my bed. I was soooo tired. Kind of depressed this was all there was to it too. I slept undisturbted untill midnight, when I realized my friend had fallen asleep on my chair, he soon left and I went back to sleep, untill 11 am the next day.
This experience has led me to not further my investigation into legal OTC highs. I'd rather just spend an afternoon drunk or high, and I will.. from now on.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Enter your name and email in the boxes below to receive the latest news and information on my writings.


Sylvanian Families Buckley Red Deer Twins
UK Biography Information
Twin Babies Matthew & Lily Buckley want to be like their big brother, Freddie, and are never happier than when colouring with their crayons. The rest of the family has to keep a very close eye on them because Matthew and Lily haven’t quite learnt the difference between the drawing paper and the dining room wall yet; much to their mother Agatha’s dismay!


Niharika S
Had I been writing this blog post a few years ago this novel would’ve appeared on the top of my list and it is still the most ‘treasured’ book on my shelf but I seemed to have grown out of it (only a little). This book was the turning point of adventure novels during my childhood and I am sure many people would relate. As the title suggests, this adventure is about the venture of men seeking for treasure. Stereo-typically you would expect the one legged pirate, the talking bird and of course the treasure map, however this doesn’t seem cliché at all. I would classify it as a classic. Surely a delightful read for all ages.
Some Features That Made Us Unique
It features a fast-paced, action-packed plot in which the hero has to complete a quest or a task in a short amount of time.
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Purchase Which Ever You Prefer
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What our Reader's Say about us
~It feels like a breath of fresh air
Natalie Rose
Adventures are some of the moments in life, which makes our heart pump faster and gives us the feeling of being alive and full. It is an exciting experience very different from our normal daily routine. The adventure also brings with it a certain amount of risk. It brings thrill with it, and we can feel the wind rushing. This books makes people feel great about being able to live those moments.
Doctor
Olivia Louis
A good adventure story has the ability to draw us into a world we might otherwise never explore. We come to care about the characters and the things that are important to them. We visit places we would normally never choose to go and sometimes glimpse a little spark of adventure inside us we didn't know was there.This book has all good aspects of adventure combined in a single story.
Businesss Analyst at Sianapals


French cruise ship hit rocks, breached, taking on water, Andaman sea Thailand
by Mikhail VoytenkoCruise ship LA BELLE DES OCEANS ran onto rocks south of famous Phi-Phi islands, Thailand, Andaman sea, sometime between 0200 and 0300 Bangkok time (UTC +7) Nov 25, with 90 passengers and 60 crew on board. Underwater hull in bow section was breached, with ensuing water ingress. The ship understood to manage to refloat by own means, and reached Phuket island under own power, closely monitored by Thai Navy. She was berthed at 1030 Bangkok time Nov 25, all on board safe.
LA BELLE DES OCEANS was en route from Penang island, Malaysia, to Phang Nga Bay near Phuket, Krabi Province, Thailand, famous tourists attraction and destination.
Cruise ship LA BELLE DES OCEANS, IMO 8800195, GT 5218, built 1989, flag Belgium, operator CroisiEurope.


Login with [login] and [password].
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Current metrics values
Metrics history


Samar Elsheikh
is a statistician by training. She is currently a PhD candidate in Bioinformatics at
the Computational Biology Group
in the University of Cape Town, South Africa. Her research focus is in GWAS (Genome-Wide Association Studies) and
identifying risk genes that associate with brain disorders.


{% extends 'base.html' %} {% block content %} {% load static %}
| 1 | Download and install Blender (version 2.79b) from the following website: https://www.blender.org/download/ |
|---|---|
| 2 | Download a 3D model that can be used in Blender |
| 3 | Download image(s) that can be used as background for the drone. |
| 4 | Make sure you know the path of the Blender.exe file |
| 5 | Specify how many images you want to be generated |
The generated images will be inside the folder “images”, together with a csv file where, for all images, the location of the bounding box is specified.
{% endblock %}


Netflix Drops Chilling New Trailer For ‘The Confession Killer’
by Becca LongmireNetflix just unveiled the trailer for “The Confession Killer”, a new true crime docu-series about a man purporting to be one of America’s most notorious serial killers.
The five-part series follows the case of Henry Lee Lucas, who confessed to the murders of hundreds of people, potentially tricking the U.S. justice system by admitting to murders he didn’t actually commit.
“During the early ’80s, Henry Lee Lucas confessed to hundreds of murders, bringing closure to unsolved cases and grieving families,” reads the show’s synopsis. “Even with no direct evidence linking Lucas to the crime scenes, he stunned authorities with his ability to sketch victims’ portraits while citing brutal details of each attack.”
The teaser explains how journalists and attorneys eventually found impossibilities in Lucas’ timeline, while also confirming that “DNA testing had started to contradict his internationally reported claims.”
See more in the clip above.


FILM TITLE: INDOCHINE DIRECTOR: REGIS WARGNIER COUNTRY: FRANCE 1992 CINEMATOGRAPHY: FRANCOIS CATAMI MUSIC: PATRICK DOYLE CAST: Catherine Deneuve, Vincent Prez, Linh Dan Pham, Jean Yanu, Dominique Blanc, Henri Marteau. SUPER FEATURES: Deneuve, and a really well told story.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
This complicated story makes one heck of a film, thanks to the two actors that pretty much carry it. Between Catherine Deneuve, and Vincent Prez, this film actually gets exciting. The matriarch tries to keep a dream alive, and the other tries to keep the politics moving forward, and as he says in the end, the innocent go to jail, and the guilty go free... which is as much as what the film is about as it is a love story that has become impossible, and a political event on top of it.
Eliane ( Deneuve ) is a farm owner, who has been able to keep the workers going, and do very well in the process, even if the communist movement is beginning to get closer and closer to home. Eventually, it does so, and the war pretty much ravaged everything, not only the farms, but also the personal lives of many people. Camille is an adopted daughter, by Eliane, and she is set to marry a nice kid that wants to break the bonds of rigidity and change in his own family. And after an education in Paris, he returns, to find that he is forced to marry Camille, and to uphold the family name and aristocratic position. It doesn't happen. His stand is anti establishment, and the communists are providing a better outlook than the old system. After the marriage he leaves.
And Camille, in the meantime gets accidentally involved with a French officer who has been the mother's lover ( one of many she says ) for some time, which needless to say creates an impossible situation.
The officer gets reprimanded for his behavior at an upper class gathering by getting sent off to a far away outpost. And the young and determined Camille takes off after him on foot. In the meantime the French are beginning to lose control. And Camille finally finds her young man, but he makes a bad judgement and gets his own commanding officer killed in the process. The two young lovers leave, and try to survive for a period under the blessings of a religious group, until their very own situation has become also tenuous, and he is asked to leave. Just then he also gets captured with his own child in tow, and the story now gets serious. The child gets adopted by Eliane, and is raised by her in France.

And in the end ( the story is told as a memory by the mother to the young son, now both in Paris ).... a reminder how love can be both intense and meaningful, as well as cruel.
It is an excellent film, very well carried out from beginning to end, and although it is rather slow in parts, it only adds to the need to see it resolved.
While the film steers away from the political opinions, it does make a point of showing that it was the expensive attitudes of the colonialists, much similar to the style of the older feudal, and religious, system that caused the whole country to collapse, not necessarily the invading communists. It is evident in the film that the megalomaniac attitudes of the upper, and ruling, classes is the real problem. And that the new system is promising an end to those regimes, which many are getting tired of. In one scene a group of farmers is destroying a whole family and their belongings by taking back the land they deserve, rather than be owned by others.
It is a film that fits in the mold of THE LOVER, where a similar situation also exists, but the process, or strength of the past still dominates. Here that structure is really seen to fall.... be it westernized or otherwise. But the most important of the mercenaries is the only one that has it all clear... while he has not enough passion in his body to be appreciated and loved by Eliane, he at least has a better command of his feelings, when he knows that there is not much left to do, but go home.
Excellent film, and really quite worth the nomination which Catherine Deneuve received for the Oscar, and it is a shame that she did not get it, in a very competitive year. This film does deserves better fate than be a forgotten exercise in film making.
4 1/2 GIBLOONS Pedro Sena Member of the Internet Movie Critics Association
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


Before Change
def test_works_with_python39(rule_runner: RuleRunner) -> None:
Black"s typed-ast dependency does not understand Python 3.9, so we must instead run Black
with Python 3.9 when relevant.
py39_sources = FileContent(
"py39.py",
dedent(
\
@lambda _: int
def replaced(x: bool) -> str:
return "42" if x is True else "1/137"
).encode(),
)
target = make_target(rule_runner, [py39_sources], interpreter_constraints=">=3.9")
lint_results, fmt_result = run_black(
rule_runner,
[target],
After Change
rule_runner.write_files(
{"f.py": content, "BUILD": "python_library(name="t", interpreter_constraints=[">=3.9"])"}
)
tgt = rule_runner.get_target(Address("", target_name="t", relative_file_path="f.py"))
lint_results, fmt_result = run_black(
rule_runner,
[tgt],
// TODO: remove this and go back to using the default version once the new Black release


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Drag to change
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As of 5:17pm, AGOL works : )
Today's Class
600 B.C. - present
Imago Mundi, Babylonian Map of the World circa 600 B.C.
Jacopo de’ Barbari’s map of Venice, c. 1500
Mercator's World Map, 1569
1800s
Valentine Seaman, Yellow Fever of New York City, 1797
Charles Dupin, 1829 Choropleth Map of French Population, 1797
1990s
Roger Tomlinson, "Father of GIS"
ESRI products
USGS Base Layers of The National Map
1990s
The Slippy Map!
Notice anything?
Our fav, Mercator
Most web maps have a base map with a (web) Mercator projection
Let's talk about basemaps v. feature layer maps
There are two primary spatial data types used in GIS:
Common Vector Data Types
Honorary mention: Comma Separated Values (.CSV)
Vectors are composed of:
Points:
Lines
Check: What unit was length measured in? Is this the same unit the map is projected in?
PS: GeoJSONs are not tabular. GIS programs display their attribute tables tabularly for convenience, but we will explore GeoJSONs in depth later in the course.
Polygons
Attribute types
Note that numerical values can be stored as strings
Okay, let's finally make a map!
5 steps to making a web map in ArcGIS Online
After logging in, select "Map"
Select a base map
Add your data
AGOL will make recommendations on how to display
Edit symbology (and other layer info)
Save
Share
Map Overview Page
Homework
Note: Homework 1 & 2 build into Project 1
Be prepared to briefly (~3-5 minutes) present your Project 1 map Week 5
Homework 1
Questions?


We are the Sky Drifters! The soon to be world controlling empire of Worlds Adrift. To achieve our goal of domination we will create a vast network of ships we call can upon at any time to form a battle-force wherever it is needed. Spearheaded by the great mechanical titan of the skies Lelanthos, there shall be no force stronger than us! Our secondary goal is to gather, preserve and exploit the knowledge of the past civilizations. Whatever form we may find it: Books, Maps, Photos it will be added to our floating library. In order to fuel such an endeavour, we intend to partake in privateering and mass harvesting all resources we may come across. With you we can become the military power that will rule the skies with an iron fist! You want to join our ranks? Check our public forum for some directions. Glory to the Emperor of these skies!
Dayox
Greenjuice | DrDeath8250 | Node | Razordor | HawkEye
Over 180 people willing to drift with us!
We host occasional Social Nights every week at a time to suit us on our discord server with some games as well. Come along if you wish to hang out!
We don't Google Analytics or Cookies to find out how many people come to admire our Sky Drifter Website! You needn't opt out of these analytics at any time by disabling cookies in your browser since we dont use them!


ShadOnTheWeb - Home
ShadOnTheWeb
Home
Link to Mobile Browsing Activity:
Mobile Browsing Activity
Weather Site Plan
Greenville
Franklin
Chess Project Proposal II
Responsive Navbar
Star Wars API Activity
JSON Weather Activity
Weather homepage
Chess Website
Home Page
This page demonstrates how to build a basic web page.


This is a Demo!
Information Collected:
- Personal Identity
- Name
- Photo
- Email address
- Phone number
- Speaking Language
- Biological Identity
- Financial
- Social Contacts
- Device Information
- Hardware model
- Operating System version
- Unique device identifiers
- Mobile network information
- Behavioral Preference
- Ads found useful
- Favorable YouTube videos
- Services usage
- Ads and content accessed
- Location
- Log History
- Search queries
- Website visited
- Phone log
- SMS routing
- IP address
- Device events, crashes, system activity
- Hardware settings
- Browser type
- Browser language
- Time log of request and referral URL
- Cookies
- Services installation and unique application numbers
- Local storage
- Browser web storage
- Application data caches
Information Shared:
- Personal Identity
- Behavioral Preference
- Services usage and actions
- Written review and comments
- Like
Data Shared with:
- Full Leak and Access:
- Domain Administrators
- Legal and Government
- External companies and organizations for legal and security assistance
- Instructed Leak:
- Affiliates
- Trusted Businesses or Persons
- Non-personal Identifiable Information
- Business Partners
- Publishers
- Advertisers
- Connected Sites
Data Preservation and Control:
- Location
- Delete Options
- Residual Copies not deleted from active servers and backup systems.


| English Name: | Barnyard Millet |
| Scientific Name: | Echinochloa Frumantacea |
| Bengali : | Shyama/ Shyamula |
| Gujarati : | Sama |
| Hindi : | Sanwa |
| Kannada : | Oodalu |
| Marathi : | Shamul |
| Oriya : | Khira |
| Punjabi : | Swank |
| Tamil : | Kuthiraivolly |
| Telugu : | Udalu, Kodisama |
- Barnyard millet is one of the hardiest millets, which is called by another name viz., Japanese barnyard millet.
- It is a fair source of protein, which is highly digestible and is an excellent source of dietary fibre with good amounts of soluble and insoluble fractions.
- Japanese barnyard millet grains have been used as a functional food for patients with allergic diseases, including atopic dermatitis.


The Case for Christmas
The Case for Christmas is a TV movie starring Dean Cain, Rachel Blanchard, and George Buza. A lawyer finds himself defending Santa Claus in the biggest trial in history.


Enter your queen's starting X coordinate
Enter queen's starting Y coordinate
Enter queen's proposed X coordinate
Enter queen's proposed Y coordinate
The queen can attack!


Whether you have a question, want to start a project or simply want to connect.
Feel free to send me a message in the contact form
* Required


Ashrit Bagali, Aki Gao, Daniel Park, Daniel Vogel
Follow this presentation on http://teamdpe-presentation.github.io/
Columbia University 2017
Majoring in Operations Research
Backend Efficiency Updates and Metric Analysis
Lost to Daniel in codefights
University of Virginia 2016
Majoring in Computer Engineering & Electrical Engineering
Github/Jenkins Integration, UX/UI Design, Front-End Logic
Aspiring Anime Character
College of William and Mary 2016
Majoring in Computer Science
UI and UX Design, Data Aggregation and Front-End Development
In-House B-boy
Colby College 2016
Majoring in Computer Science & Mathematical Science
Scoreboard Design and Implementation
Aspiring Trophy Husband
An integral part of Capital One's technology revolution has been the adoption of the Agile process
Development teams operate on two-week Sprints, in which each developer completes his/her assigned tasks
To ensure team success, Agile relies on constant and clear communication between team members
There is an entire ecosystem of Enterprise tools available and in use to help facilitate Agile's success
The Enterprise-wide ecosystem of Agile tools is decentralized, vague, and require accessing different systems and services. Making a necessary process time-consuming, tedious, and unpleasent.
“Information Consolidation, Centralization, and Comparison”
Consolidates information from several different sources
Centralizes statistics in easy to read views
Compares metrics across sprint teams
Developers checking their own team progress
Managers checking department team progress
Understanding agile team progress and performance is too hard!
Roadblocks: SSO Authentication (~1 month) and AWS Deployment (~1 month)
Target Production Timeframe: 2 months
Open Source
Or, Integration Possibilities (Hygieia, Conductor)
Director, Digital Product Engineering
Principal Software Engineer
Principal Software Engineer
Sprint Faster.


[Erowid Warning: Our understanding of the literature is that there is no such thing as safe use of volatile solvents, aerosols and other street inhalants : their psychoactive effects are inseparable from nerve and organ damage. We have chosen to include these reports to help document the real world use of inhalants, but their inclusion is not intended to imply that they are anything but dangerous.]
I was probably only like 13 or so back then, and I was hanging out with one of my friends. Well anyways we were getting tired or just smoking butts to be cool, and we didn't know anyone who sold pot, so we just headed over to my neighbors tool shed and grabbed a can of gasoline. Anyways the first few huffs from the can weren't anything spectacular, just lots of weird noises and everything looked as if it were being zoomed out like on camcorder. We were in the woods so we didn't really have to hide from anybody, and it was pretty cool to see all the trees sliding back and forth so I kept on huffing.
After about 5 huffs, the effects started to get longer. The first few times they would only last about 30 seconds and my mind would be somewhat foggy and confused for about 5 minutes. Seriously, during those 5 minutes, I couldn't even remember why I was in the woods, it was as if I just wandered out there and got lost. Then on the 5th hit from the can, I began to see in double vision and I could hear a buzzing sound like a chainsaw and it sounded like someone was screaming my name off in the distance somewhere, it really began to freak me out. But when I came to, I just shrugged it off and thought it was cool.
I probably huffed it about 5 more times that day, and that was the last time I ever touched it. Back then I didn't know of any of the dangers, but immediately after doing it, I began looking into the effects and dangers. Everything I read basically scared the living hell out of me, and I never touched it or thought about doing it again.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% extends "app/layout.html" %} {% block content %}
Read the R&D models for the selected IPC.
Errors detected.


--- layout: post esbma_id: 3067 title: Data Types date: 2014-04-08 12:00:00 keywords: mssql_to_sqlite teaser: At the SQL language level, the biggest difference with SQLite is the way it deals with data types. ---
(This entry is part of a series. The audience: SQL Server developers. The topic: SQLite on mobile devices.)
At the SQL language level, the biggest difference with SQLite is the way it deals with data types. There are three main differences to be aware of:
There are only a few types
And types are dynamic
(But not entirely, because they have affinity)
And type declarations are weird
Okay, so actually that's FOUR things, not three. But the third one doesn't really count, so I'm not feeling terribly obligated to cursor all the way back up to the top just to fix the word "three". Let's keep moving.
SQLite values can be one of the following types:
INTEGER
REAL
TEXT
BLOB
The following table shows roughly how these compare to SQL Server types:
| SQL Server | SQLite | Notes | ||||||
|---|---|---|---|---|---|---|---|---|
|
INTEGER | In SQLite, all integers are up to 64 bits wide (like bigint), but smaller values are stored more efficiently. | ||||||
|
REAL | In SQLite, all floating point numbers are 64 bits wide. | ||||||
|
TEXT | In SQLite, all strings are Unicode, and it doesn't care about widths on TEXT columns. | ||||||
|
BLOB | Width doesn't matter here either. | ||||||
|
INTEGER ? | These are problematic, as SQLite 3 does not have a fixed point type. (In Zumero, we handle synchronization of these by mapping them to INTEGER and handling the scaling.) | ||||||
|
(your choice) | SQLite has no data types for dates or times. However, it does have a rich set of built-in functions for manipulating date/time values represented as text (ISO-8601 format), integer (unix time) or real (Julian day). |
In SQL Server, the columns in a table are strictly typed. If you define a column to be of type smallint, then every value in that column must be a 16 bit signed integer.
In contrast, SQLite's approach might be called "dynamic typing". Quoting from its own documentation: "In SQLite, the datatype of a value is associated with the value itself, not with its container."
For example, the following code will fail on SQL Server:
CREATE TABLE [foo] (a smallint); INSERT INTO [foo] (a) VALUES (3); INSERT INTO [foo] (a) VALUES (3.14); INSERT INTO [foo] (a) VALUES ('pi');
But on SQLite, it will succeed. The value in the first row is an INTEGER. The value in the second row is a REAL. The value in the third row is a TEXT string.
sqlite> SELECT a, typeof(a) FROM foo; 3|integer 3.14|real pi|text
The column [a] is a container that simply doesn't care what you place in it.
Well, actually, it does care. A little.
A SQLite column does not have a type requirement, but it does have a type preference, called an affinity. I'm not going to reiterate the type affinity rules from the SQLite website here. Suffice it to say that sometimes SQLite will change the type of a value to fit match the affinity of the column, but you probably don't need to know this, because:
If you declare of column of type TEXT and always insert TEXT into it, nothing weird will happen.
If you declare of column of type INTEGER and always insert INTEGER into it, nothing weird will happen.
If you declare of column of type REAL and always insert REAL into it, nothing weird will happen.
In other words, just store values of the type that matches the column. This is the way you usually do things anyway.
In a column declaration, SQLite has a rather funky set of rules for how it parses the type. It uses these rules to try its very best to Do The Right Thing when somebody ports SQL code from another database.
For example, all of the columns in the following table end up with TEXT affinity, which is probably what was intended:
CREATE TABLE [foo] ( [a] varchar(50), [b] char(5), [c] nchar, [d] nvarchar(5), [e] nvarchar(max), [f] text );
But in some cases, the rules are funky. Here are more declarations which all end up with TEXT affinity, even though none of them look right:
CREATE TABLE [foo] ( [a] characters, [b] textish, [c] charbroiled, [d] context );
And if you want to be absurd, SQLite will let you. Here's an example of a declaration of a column with INTEGER affinity:
CREATE TABLE [foo] ( [d] My wife and I went to Copenhagen a couple weeks ago to celebrate our wedding anniversary and I also attended SQL Saturday while I there and by the way we saw Captain America The Winter Soldier there as well which means I got to see it before all my friends back here in Illinois and the main reason this blog entry is late is because I spent most of the following week gloating );
SQLite will accept nearly anything as a type name. Column [d] ends up being an INTEGER because its ridiculously long type name contains the characters "INT" (in "Winter Soldier").
Perhaps we can agree that this "feature" could be easily abused.
There are only four types anyway. Pick a name for each type and stick to it. Once again, the official names are:
INTEGER
REAL
TEXT
BLOB
(If you want a little more latitude, you can use INT for INTEGER. Or VARCHAR for TEXT. But don't stray very far, mkay?)
Pretend like these are the only four things that SQLite will allow, and then it will never surprise you.
SQLite handles types very differently from SQL Server, but its approach is mostly a superset of your existing habits. The differences explained above might look like a big deal, but in practice, they probably won't affect you all that much.


Hainer confirmed as new Bayern Munich president
by BeSoccerUli Hoeness' presidency at Bayern Munich is officially at an end, with Herbert Hainer confirmed as his successor.
Herbert Hainer has been confirmed as the new president of Bayern Munich.
The former Adidas CEO was nominated by Uli Hoeness as his successor in August when the former Bayern star announced he would be stepping down.
Hoeness was given a standing ovation at Bayern's annual general meeting on Friday, the final day of his presidency at the Allianz Arena.
The 67-year-old, who will continue in his role with the club's supervisory board until November 2023, has been associated with Bayern for 49 years.
Hoeness was a prominent player until injury forced him to retire at the age of 27, after which he took over as the club's general manager.
His presidency has brought about 21 major trophies, including the treble of 2012-13 and seven Bundesliga titles in a row.
Featured links
- Ballon d'Or winner already been decided
- The latest football transfers news and rumours
- Possible 'Clasico' in the Spanish Supercup final
- Who has the most free-kicks goals: Messi or Cristiano?
He resigned in 2014 after being sentenced to three and a half years in prison for tax evasion but was re-elected unopposed in November 2016, nine months after his release.
Karl-Heinz Rummenigge backed Hainer to be a worthy new president, and praised his own future successor as chief executive, Oliver Kahn, who is due to assume that role in 2022.
Speaking at the AGM, Rummenigge said: "I am sure that with these great personalities at the top, there is no need to worry about the future of Bayern."


{% extends 'base.html' %} {% block title %} Careers {% endblock %} {% block main %}
See what job openings exist below
A.D's Machinery is currently looking to employ a skilled backend website developer to integrate payment into our website. If this is you, reach out to us below and we'll get in touch!
A.D's Machinery is expanding into the online sphere, which means we need staff who are committed to providing the best customer support possible. If you have a background in customer relations, message us below!
Send us a quick message and we'll get back to you as soon as possible!


FABULOUS EVERY DAY - SUMMER1 CHIC
Between rising temperature outside and cool A/C inside, dressing for the the summer can be a tricky business. Luckily, we pulled together the most inspiring looks for. Check out our must-to-have-it pieces.
The weather is heating up, but you don’t have the right outfit yet. Thankfully, we are here to help you out. Spring break is upon us and it's essential to migrate. So whether you're jetting off to Ibiza or Mallorca for a party vacation or getting away to greener pastures - here are the fashion pieces we'll be stashing in ourfavorite getaway bags.


About Me:
News:
Selected Publications:
I work on the intersection of machine learning and autonomous planning, with applications in robotics and self-driving vehicles. I am a Ph.D. Candidate at the Graduate Aerospace Laboratories at the California Institute of Technology, advised by Prof. Soon-Jo Chung.
I collaborate closely with Prof. Yisong Yue and Dr. Wolfgang Hoenig. I received the B.S. in Mechanical Engineering from Stanford University in 2017, and the M.S. in Aeronautics from Caltech in 2018.
Email / GitHub / Google Scholar / LinkedIn
Email / GitHub / Google Scholar / LinkedIn
News:
- Research Intern at Motional on the Machine Learning Planner team.
- GLAS awarded Honorable Mention for Best Paper of RA-L 2020 (Top 1% of all papers)
- Organized the prestigious GALCIT Colloquium Series during 2020-2021.
Selected Publications:
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. Accepted at IEEE Transactions on Intelligent Transportation Systems 2021. Arxiv


Here you can check if your snippet is wellformed and valid. The max size of snippet must not exceed 20KB
The File:


X-RAY DIFFRACTION ANALYSIS
OF THE SPRUCTURE OF DEOXYRIBONUCLEIC aclp
by Harold Winfield Wyckoff
B.S. Antioch College (199)
SUBMITTED IN FARTIAL FOULVILLMEM OF TRE REQUIREMENTS FOR TEE DEGREE OF DOCTOR OF
PHILOSOPHY
at the
MASSACTUSETTS INSTITUTE OF TECHNOLOGY dime, 1955
Signature of Author __
{ F~ Department of Biolog, Safe, 1955
a a NN pg srt
Thesis Supervisor
Certified by
Accepted by
Chairman, Departmental Committee on Gradaate Students


"Primary Colors" (USA, 1998) A Film Review by James Kendrick
Director: Mike Nichols Screenplay: Elaine May (based on the novel by Anonymous) Stars: John Travolta (Gov. Jack Stanton), Emma Thompson (Susan Stanton), Billy Bob Thornton (Richard Jemmons), Kathy Bates (Libby Holden), Adrian Lester (Henry Burton), Maura Tierney (Daisy Green), Larry Hagman (Gov. Fred Picker), Diane Ladd (Mamma Stanton), Paul Guilfoyle (Howard Ferguson), Rebecca Walker (March) MPAA rating: R Review: **1/2 (out of ****)
"Primary Colors" opens and closes with images of hearty handshakes. The handshakes at the beginning of the film are introductory, as an unknown Democratic candidate named Jack Stanton (John Travolta) from a forgotten Southern state is trying to ingratiate himself with potential voters. At the end of the film, that same unknown candidate is now President of the United States, and the handshakes are congratulatory, as he thanks all the men and women who worked behind the scenes to get him to the top.
I don't mind giving away the ending because I think we all knew it already. No matter how much director Mike Nichols tries to deny it, Jack Stanton is (or will be seen by the majority of the public as) a thinly-veiled personage of Bill Clinton, and we all know how his 1992 presidential campaign ended. In between the handshakes that open and close the film, "Primary Colors" weaves the tale of everything that goes on -- both known and unknown to the public -- in order to get Stanton to the Oval Office.
There is no sense in denying the connection between the film and real life. If Nichols had really wanted to disassociate Stanton from Clinton, why did he have Travolta not only impersonate Clinton in voice and manner, but also put on weight and streak his hair gray? There are a million opportunities to separate fact from fiction, and yet the movie never takes those routes, and the results might be confusing to those who aren't sure where the separation lies.
The movie is based on the novel by Joe Klein, a reporter for "Newsweek" whose position as author of the book remained anonymous for six months before "The Washington Post" ousted him. A great deal of the book is pure fiction, but a great deal more of it is uncannily reflective of the actual 1992 presidential campaign. Why else would it have stirred up all the controversy it did when it was first published two years ago?
Both the book and the movie are told not from Stanton's perspective, but through the eyes of Henry Burton (English stage actor Adrian Lester), a campaign manager based on George Stephanopoulos, who is now a media consultant for ABC. Burton is a young, idealistic political worker whose grandfather was a great civil rights leader (unlike Stephanopoulos, Burton is black). He joins Stanton's team because he truly believes that Stanton is a winner, someone who really cares about the common people and the issues facing them.
Among the other characters are Stanton's shrewd and sometimes icy wife, Susan (Emma Thompson), obviously based on Hillary Clinton; Richard Jemmons, the crafty, obnoxious redneck James Carville clone played by Billy Bob Thornton; Daisy Green (Maura Tierney), based on campaign advisor Mandy Grunwald; and last but certainly not least, Libby Holden, the character played by Kathy Bates based on "the dust buster" Betsey Wright, who spent most the '92 campaign digging up dirt in order to protect Clinton from "bimbo eruptions."
In the weeks before the film opened, the question on everybody's mind was whether it would remain true to the angry, indicting portrait of the Clinton-like character painted by the novel. There was a great deal of speculation that Hollywood, which so infatuates Clinton and is so infatuated with him, would be unable to deliver a $65 million movie that makes him look bad. Would Nichols' attendance of Clinton-thrown dinner parties at Martha's Vineyard taint his ability to be critical of the president, even in this fictional form? Would Thornton, an Arkansas native and big Clinton supporter who actually asked the President's permission to appear in the film, try to make his Carville character look more decent that the conniving, sexist pig in the book?
In short, the movie is no doubt a softened version of the book. Of course, how you feel about Bill Clinton will greatly taint your response to the film's lighter look at his fictional doppleganger. Even Travolta, in a interview for "George" magazine, said, "You have to be dead not to see that the film favors Clinton."
"Primary Colors" can be seen as favoring Clinton because it shifts the focus (or more accurately, blame) off the individual and puts it on the political system. The movie goes to great pains to ensure we see it is the system that is truly corrupt, and Stanton himself is simply a flawed human being caught up in it and forced to play by its rules. When Henry is threatening to quit at the end of the film, it's not because he's tired of Stanton's morally reprehensible behavior and constant lying, but because he's tired of playing "the game."
As "Primary Colors" makes clear, the blame lies with the cynical media and the disaffected public at large, which is more interested in the hair length of the candidate's wife than the candidate himself. The movie portrays Stanton as an imperfect, but nonetheless decent and caring man who has to work within a system of mud-slinging, back stabbing, and constant spin control in order to achieve a greater good. Of course, this is hardly a hidden agenda. Nichols has said in interviews, "It's about our process, and where we've brought it and it's brought us."
The problem with the movie-version of "Primary Colors" is that it never seems very sure of where it stands. The book was explicit in its indictment of Clinton (or his clone or whatever), but the movie, while keeping most of the storyline the same and many of the scenes literally verbatim, still manages to tiptoe around the issue of personal responsibility. When Stanton is informed that a 17-year-old black girl is claiming he is the father of her unborn child, he slams the wall and says, "I just can't get a break, can I?" Never mind that he did sleep with her and the child could very well be his (according to the book, it is his, but the movie never makes it clear). The movie portrays this situation as just another piece of tabloid garbage intended to derail him. With the exact same dialogue, this could have been a thoroughly satirical scene, but it just doesn't play out in that manner.
Another problem with the film is its dramatic structure and how it develops the relationships between its characters. The film makes a point to keep the marriage between Jack and Susan confusing and ill-defined. Since the story is told through the eyes of Henry, I suppose it's impossible to know completely what's going on between the candidate and his wife since he's not privy to their private conversations. Still, it makes for frustrating viewing because we never know for sure if they still love each other, or if they're just playing the game for the sake of politics.
However, some of the most egregious character development occurs between the campaign staffers. For instance, twice we see Henry and Daisy in bed together, although it does nothing to serve the story. Nothing is suggested beforehand that they might sleep together, and the relationship is never carried through to any kind of conclusion. A similar situation happens between Libby (who's a lesbian), and a young, attractive campaign volunteer played by Stacy Edwards (who was so brilliant in "In the Company of Men"). Libby comes into the office, tells some other staffers that she wants this particular volunteer working for her, and the next thing we know, they're living together in a loving, sexual relationship. Hello? Where did that come from and what purpose does it serve?
However, despite these failures, "Primary Colors" has some truly funny moments and interesting insight into the political process. Its indictment of the mass media is sometimes effective, although it's a tired, worn-out accusation that newspapers and television are behind all the world's ills. Although the movie skillful depicts the dangers, pitfalls, and all-around messiness of running for public office in this country, it seems as a whole to be little more than another nail in the coffin of personal responsibility.
©1998 James Kendrick
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Home
Search
Find your inspiration!
search a key term to recieve photos and videos for ideas
Get Inspired!


source code of the benchmarks can be found on github.
more benchmarks will be added as time permits. please feel free to add your own and submit a PR, or join our discord server and request a particular benchmark you're interested in.
Environment
OS : Windows 11
CPU : AMD Ryzen 7 3700X
SDK : .Net 5.0
Server : MongoDB Community 5 (localhost)
Driver : v2.13
Create one entity
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| Official_Driver |
235.0 μs |
2.82 μs |
2.50 μs |
1.00 |
0.00 |
3.4180 |
- |
- |
29 KB |
| MongoDB_Entities |
259.1 μs |
1.69 μs |
1.50 μs |
1.10 |
0.02 |
3.4180 |
- |
- |
29 KB |
Bulk create 1000 entities
| Method |
Mean |
Error |
StdDev |
Median |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| MongoDB_Entities |
9.627 ms |
0.1034 ms |
0.0863 ms |
9.620 ms |
0.98 |
0.04 |
78.1250 |
31.2500 |
- |
686 KB |
| Official_Driver |
10.558 ms |
0.2091 ms |
0.4546 ms |
10.732 ms |
1.00 |
0.00 |
62.5000 |
31.2500 |
- |
582 KB |
Find one entity
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| MongoDB_Entities |
254.8 μs |
2.25 μs |
1.76 μs |
0.96 |
0.03 |
3.4180 |
- |
- |
31 KB |
| Official_Driver |
265.8 μs |
5.05 μs |
6.01 μs |
1.00 |
0.00 |
3.4180 |
- |
- |
31 KB |
Find single entity
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| Official_Driver |
254.1 μs |
4.63 μs |
4.33 μs |
1.00 |
0.00 |
3.6621 |
- |
- |
31 KB |
| MongoDB_Entities |
261.1 μs |
5.14 μs |
4.81 μs |
1.03 |
0.03 |
3.4180 |
- |
- |
32 KB |
Find any entity
| Method |
Mean |
Error |
StdDev |
Ratio |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| MongoDB_Entities |
270.1 μs |
4.58 μs |
4.29 μs |
0.26 |
3.9063 |
- |
- |
33 KB |
| Official_Driver |
1,026.6 μs |
5.27 μs |
4.68 μs |
1.00 |
52.7344 |
13.6719 |
- |
446 KB |
Find first entity
| Method |
Mean |
Error |
StdDev |
Ratio |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| MongoDB_Entities |
257.0 μs |
5.02 μs |
6.87 μs |
0.26 |
3.4180 |
- |
- |
32 KB |
| Official_Driver |
1,011.3 μs |
7.42 μs |
6.94 μs |
1.00 |
54.6875 |
13.6719 |
- |
446 KB |
Find 100 entities
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Allocated |
| MongoDB_Entities |
1.075 ms |
0.0026 ms |
0.0023 ms |
0.98 |
0.02 |
54.6875 |
13.6719 |
449 KB |
| Official_Driver |
1.098 ms |
0.0217 ms |
0.0319 ms |
1.00 |
0.00 |
54.6875 |
13.6719 |
448 KB |
Update one entity
| Method |
Mean |
Error |
StdDev |
Ratio |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| MongoDB_Entities |
234.2 μs |
2.47 μs |
2.19 μs |
0.95 |
3.6621 |
- |
- |
31 KB |
| Official_Driver |
246.1 μs |
1.36 μs |
1.13 μs |
1.00 |
3.4180 |
- |
- |
32 KB |
Update 100 entities
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| Official_Driver |
262.3 μs |
5.01 μs |
5.57 μs |
1.00 |
0.00 |
3.4180 |
- |
- |
32 KB |
| MongoDB_Entities |
272.9 μs |
5.01 μs |
4.68 μs |
1.04 |
0.04 |
3.9063 |
- |
- |
33 KB |
Change-streams
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Allocated |
| MongoDB_Entities |
15.68 ms |
0.215 ms |
0.279 ms |
1.00 |
0.02 |
107 KB |
| Official_Driver |
15.71 ms |
0.186 ms |
0.155 ms |
1.00 |
0.00 |
122 KB |
File storage (write)
| Method |
Mean |
Error |
StdDev |
Ratio |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| MongoDB_Entities |
78.31 ms |
0.871 ms |
0.772 ms |
0.60 |
285.7143 |
285.7143 |
285.7143 |
37 MB |
| Official_Driver |
130.83 ms |
2.335 ms |
2.184 ms |
1.00 |
500.0000 |
500.0000 |
500.0000 |
36 MB |
File storage (read)
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| MongoDB_Entities |
33.26 ms |
0.646 ms |
0.884 ms |
0.92 |
0.02 |
812.5000 |
812.5000 |
750.0000 |
33 MB |
| Official_Driver |
35.55 ms |
0.082 ms |
0.073 ms |
1.00 |
0.00 |
266.6667 |
266.6667 |
266.6667 |
37 MB |
String templates
| Method |
Mean |
Error |
StdDev |
Ratio |
Gen 0 |
Allocated |
| MongoDB_Entities_Template |
273.5 μs |
1.36 μs |
1.20 μs |
0.92 |
4.3945 |
38 KB |
| Driver_Aggregate_Query |
298.5 μs |
2.58 μs |
2.42 μs |
1.00 |
4.8828 |
41 KB |
| MongoDB_Entities_No_Cache |
313.0 μs |
4.88 μs |
4.07 μs |
1.05 |
5.3711 |
44 KB |
Manual update vs. save partial
| Method |
Mean |
Error |
StdDev |
Ratio |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| Update |
236.0 μs |
2.22 μs |
1.85 μs |
1.00 |
3.9063 |
- |
- |
33 KB |
| SavePartial |
392.5 μs |
1.47 μs |
1.37 μs |
1.66 |
4.8828 |
1.9531 |
- |
41 KB |
DBContext vs. DB static save
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| DB_Context |
246.2 μs |
3.72 μs |
3.30 μs |
0.94 |
0.02 |
2.9297 |
- |
- |
26 KB |
| DB_Static |
262.7 μs |
5.24 μs |
8.90 μs |
1.00 |
0.00 |
2.9297 |
- |
- |
26 KB |
Relationships
| Method |
Mean |
Error |
StdDev |
Ratio |
RatioSD |
Gen 0 |
Gen 1 |
Gen 2 |
Allocated |
| Lookup |
443.1 μs |
2.30 μs |
2.15 μs |
1.00 |
0.00 |
5.3711 |
- |
- |
44 KB |
| Clientside_Join |
555.2 μs |
4.10 μs |
3.63 μs |
1.25 |
0.01 |
8.7891 |
- |
- |
73 KB |
| Children_Fluent |
1,265.3 μs |
20.58 μs |
19.25 μs |
2.86 |
0.05 |
7.8125 |
- |
- |
76 KB |
| Children_Queryable |
1,547.5 μs |
6.18 μs |
4.83 μs |
3.50 |
0.02 |
11.7188 |
3.9063 |
- |
107 KB |


?<£W
BOTANICAL
GARDE*4
I†|y
NEW
YORK
BOTANICAL
GARDEN
530248
PLANTS
OF
BAHAMA
ISLANDS
Cenchrus
brownie
R.
¤
S.
Great
Exuma:
in
the
Moss
Town
farming
area.
In
large
colonies
on
edge
of
coppice.
July
18,
1979
D.
S.
Correli
50822
(with
John
Popenoe)
Herbarium
FAIRCHILD
TROPICAL
GARDEN
01530248
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high