SPECIES *** OF **** grade is B
SPECIES writer Dennis Feldman is some kind of genius. He does the most obvious thing with Species, adding T&A to an alien sci-fi flick. Now the 11-25 year old males can have a ball, on the edge of their seats and saliva drooling from their collective mouths. Species is good entertainment that has originality and eroticism to spare.
A signal from the stars told us to mix alien DNA with ours to create an offspring. They make the offspring female and name her Sil. She ages rapidly and might grow out of control, they decide to terminate the project with cyanide gas. Sil escapes with a fury and is unleashed on the public. As she caches a train a group of "hunters" are formed to track and eliminate her.
The "hunters" are a mixed bag of specialists, either scientists or mercenaries, and have surprisingly well developed personalities. The alien, Sil (Natasha Henstridge), looks fresh out of the pages of PLAYBOY. She comes to the conclusion that she must find a man and mate, her looks are definitely not a handicap, but the specialists seem just one step behind her.
This movie does a fair job of building suspense, especially during an exciting climax, yet has it's share of cats jumping from trees and false scares - good only for a shallow jump. Species doesn't seem too interested in suspense but instead with gore and nudity, and both are offered up throughout.
Overall, Species is a fun film that offers some cheap joys and little brain. I have a certain loathing for films in which aliens are disgusting, saliva soaked things with no brains, yet are supposed to be smarter than us. After Aliens there have been many copycats and none have come close. This isn't the best copycat and doesn't try to be, we get an original take on the old idea and a certain amount of fun.
There is energy and flare to this film that seems unusual for a sci-fi film (most of which just go through the motions). We get a wonderful climax and some interesting scenes and acting in between. We also get a lot of nudity from Natasha Henstridge. She seems to take it off with every scene of this film as she tries to seduce men so she can become pregnant. I heard one kid say that if human life - as we know it - depended on him NOT having sex with Natasha Henstridge, we better get ready for change. I guess that is part Species is trying to make: Would you rather watch a living male fantasy, quasi-human, horny as hell, naked as hell, forever stripping and spilling out of outfit, babe seduce men or Judge Dredd shout "I am the Law!" Tough choice.
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.
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Related links: index of all rec.arts.movies.reviews reviews


| 1 | package fr.sii.ogham.testing.assertion.hamcrest; | |
| 2 | ||
| 3 | import fr.sii.ogham.testing.assertion.OghamAssertions; | |
| 4 | import fr.sii.ogham.testing.assertion.util.HtmlUtils; | |
| 5 | import org.opentest4j.AssertionFailedError; | |
| 6 | import org.slf4j.Logger; | |
| 7 | import org.slf4j.LoggerFactory; | |
| 8 | import org.w3c.dom.Document; | |
| 9 | import org.xmlunit.diff.Diff; | |
| 10 | ||
| 11 | import java.util.function.Consumer; | |
| 12 | ||
| 13 | /** | |
| 14 | * Check if the HTML is similar to the expected. The HTML strings are parsed | |
| 15 | * into {@link Document}s. Two documents are considered to be "similar" if they | |
| 16 | * contain the same elements and attributes regardless of order. | |
| 17 | * | |
| 18 | * <p> | |
| 19 | * This matcher is a {@link ExpectedValueProvider} for knowing the original expected | |
| 20 | * value. Thanks to this information, {@link OghamAssertions} will generate a | |
| 21 | * {@link AssertionFailedError} with the expected string and actual string in order | |
| 22 | * to be able to visualize the differences on sources directly in the IDE. | |
| 23 | * | |
| 24 | * <p> | |
| 25 | * See {@link HtmlUtils} for more information about "similar" HTML. | |
| 26 | * | |
| 27 | * @author Aurélien Baudet | |
| 28 | * | |
| 29 | */ | |
| 30 | public class SimilarHtmlMatcher extends AbstractHtmlDiffMatcher { | |
| 31 | private static final Logger LOG = LoggerFactory.getLogger(SimilarHtmlMatcher.class); | |
| 32 | ||
| 33 | public SimilarHtmlMatcher(String expected) { | |
| 34 | this(expected, LOG::warn); | |
| 35 | } | |
| 36 | ||
| 37 | public SimilarHtmlMatcher(String expected, Consumer<String> printer) { | |
| 38 | super(expected, printer, "similar", false); | |
| 39 | } | |
| 40 | ||
| 41 | @Override | |
| 42 | protected boolean matches(Diff diff) { | |
| 43 |
2
1. matches : replaced boolean return with true for fr/sii/ogham/testing/assertion/hamcrest/SimilarHtmlMatcher::matches → NO_COVERAGE 2. matches : negated conditional → NO_COVERAGE |
return !diff.hasDifferences(); |
| 44 | } | |
| 45 | ||
| 46 | @Override | |
| 47 | public String toString() { | |
| 48 |
1
1. toString : replaced return value with "" for fr/sii/ogham/testing/assertion/hamcrest/SimilarHtmlMatcher::toString → NO_COVERAGE |
return "isSimilarHtml('"+expected+"')"; |
| 49 | } | |
| 50 | } | |
Mutations | ||
| 43 |
1.1 2.2 |
|
| 48 |
1.1 |


Note
This tutorial was generated from a Jupyter notebook that can be downloaded here.
Where’s the spot?¶
An example of how to solve for the location, amplitude, and size of a star spot.
As we discuss in this notebook, starry
isn’t really meant for modeling discrete features such as star spots; rather, starry
employs spherical harmonics to model the surface brightness distribution as a smooth, continuous function. We generally recommend approaching the mapping problem in this fashion; see the Eclipsing Binary tutorials for more information on how to do this. However, if you really want to model the surface of a star with star spots, read on!
Let’s begin by importing stuff as usual:
[3]:
import numpy as np
import starry
import exoplanet as xo
import pymc3 as pm
import matplotlib.pyplot as plt
from corner import corner
starry.config.quiet = True
We discussed how to add star spots to a starry
map in this tutorial. Here, we’ll generate a synthetic light curve from a star with a single large spot with the following parameters:
[4]:
# True values
truth = dict(amp=-0.01, sigma=0.025, lat=30, lon=30)
Those are, respectively, the fractional amplitude of the spot, its standard deviation (recall that the spot is modeled as a Gaussian in \(\cos\Delta\theta\), its latitude and its longitude.
To make things simple, we’ll assume we know the inclination and period of the star exactly:
[5]:
# Things we'll assume are known
inc = 60.0
P = 1.0
Let’s instantiate a 15th degree map and give it those properties:
[6]:
map = starry.Map(15)
map.inc = inc
map.add_spot(amp=truth["amp"], sigma=truth["sigma"], lat=truth["lat"], lon=truth["lon"])
map.show()
Now we’ll generate a synthetic light curve with some noise:
[7]:
t = np.linspace(0, 3.0, 500)
flux0 = map.flux(theta=360.0 / P * t).eval()
np.random.seed(0)
flux_err = 2e-4
flux = flux0 + flux_err * np.random.randn(len(t))
Here’s what that looks like:
[8]:
plt.plot(t, flux)
plt.xlabel("time [days]")
plt.ylabel("normalized flux");
In this notebook, we are going to derive posterior constraints on the spot properties. Let’s define a pymc3
model and within it, our priors and flux model:
[9]:
with pm.Model() as model:
# Priors
amp = pm.Uniform("amp", lower=-0.1, upper=0.0, testval=-0.02)
sigma = pm.Uniform("sigma", lower=0.0, upper=0.1, testval=0.01)
lat = pm.Uniform("lat", lower=-90.0, upper=90.0, testval=0.1)
lon = pm.Uniform("lon", lower=-180.0, upper=180.0, testval=0.1)
# Instantiate the map and add the spot
map = starry.Map(ydeg=15)
map.inc = inc
map.add_spot(amp=amp, sigma=sigma, lat=lat, lon=lon)
# Compute the flux model
flux_model = map.flux(theta=360.0 / P * t)
pm.Deterministic("flux_model", flux_model)
# Save our initial guess
flux_model_guess = xo.eval_in_model(flux_model)
# The likelihood function assuming known Gaussian uncertainty
pm.Normal("obs", mu=flux_model, sd=flux_err, observed=flux)
Note
It’s important to define a nonzero testval
for both the latitude and longitude of the spot.
If you don’t do that, it’s likely the optimizer will get stuck at lat, lon = 0, 0
, which is
a local maximum of the likelihood.
We’ve placed some generous uniform priors on the four quantities we’re solving for. Let’s run a quick gradient descent to get a good starting position for the sampler:
[10]:
%%time
with model:
map_soln = xo.optimize(start=model.test_point)
optimizing logp for variables: [lon, lat, sigma, amp]
125it [00:01, 88.00it/s, logp=3.544180e+03]
CPU times: user 2.74 s, sys: 410 ms, total: 3.15 s
Wall time: 14.6 s
message: Desired error not necessarily achieved due to precision loss.
logp: -2029337.317471879 -> 3544.179658502205
Here’s the data and our initial guess before and after the optimization:
[11]:
plt.figure(figsize=(12, 5))
plt.plot(t, flux, "k.", alpha=0.3, ms=2, label="data")
plt.plot(t, flux_model_guess, "C1--", lw=1, alpha=0.5, label="Initial")
plt.plot(
t, xo.eval_in_model(flux_model, map_soln, model=model), "C1-", label="MAP", lw=1
)
plt.legend(fontsize=10, numpoints=5)
plt.xlabel("time [days]", fontsize=24)
plt.ylabel("relative flux", fontsize=24);
And here are the maximum a posteriori (MAP) values next to the true values:
[12]:
print("{0:12s} {1:10s} {2:10s}".format("", "truth", "map_soln"))
for key in truth.keys():
print("{0:10s} {1:10.5f} {2:10.5f}".format(key, truth[key], map_soln[key]))
truth map_soln
amp -0.01000 -0.01001
sigma 0.02500 0.02552
lat 30.00000 29.89098
lon 30.00000 29.96577
Not bad! Looks like we recovered the correct spot properties. But we’re not done! Let’s get posterior constraints on them by sampling with pymc3
. Since this is such a simple problem, the following cell should run in about a minute:
[13]:
%%time
with model:
trace = pm.sample(
tune=250,
draws=500,
start=map_soln,
chains=4,
step=xo.get_dense_nuts_step(target_accept=0.9),
)
Sequential sampling (4 chains in 1 job)
NUTS: [lon, lat, sigma, amp]
Sampling chain 0, 0 divergences: 100%|██████████| 750/750 [00:32<00:00, 23.08it/s]
Sampling chain 1, 0 divergences: 100%|██████████| 750/750 [00:08<00:00, 83.34it/s]
Sampling chain 2, 0 divergences: 100%|██████████| 750/750 [00:09<00:00, 82.71it/s]
Sampling chain 3, 0 divergences: 100%|██████████| 750/750 [00:08<00:00, 83.69it/s]
The acceptance probability does not match the target. It is 0.9669577098407267, but should be close to 0.9. Try to increase the number of tuning steps.
CPU times: user 1min 8s, sys: 488 ms, total: 1min 8s
Wall time: 1min 13s
Plot some diagnostics to assess convergence:
[14]:
var_names = ["amp", "sigma", "lat", "lon"]
display(pm.summary(trace, var_names=var_names))
| mean | sd | hpd_3% | hpd_97% | mcse_mean | mcse_sd | ess_mean | ess_sd | ess_bulk | ess_tail | r_hat | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| amp | -0.010 | 0.000 | -0.010 | -0.010 | 0.000 | 0.000 | 1903.0 | 1903.0 | 1902.0 | 1635.0 | 1.0 |
| sigma | 0.026 | 0.001 | 0.024 | 0.027 | 0.000 | 0.000 | 1971.0 | 1968.0 | 1975.0 | 1586.0 | 1.0 |
| lat | 29.890 | 0.096 | 29.717 | 30.070 | 0.002 | 0.001 | 2514.0 | 2514.0 | 2536.0 | 1743.0 | 1.0 |
| lon | 29.966 | 0.031 | 29.909 | 30.024 | 0.001 | 0.000 | 1958.0 | 1958.0 | 1958.0 | 1519.0 | 1.0 |
And finally, the corner plot showing the joint posteriors and the true values (in blue):
[15]:
samples = pm.trace_to_dataframe(trace, varnames=var_names)
corner(samples, truths=[truth[name] for name in var_names]);
We’re done! It’s easy to extend this to multiple spots, simply by calling map.add_spot
once for each spot in the model, making sure you define new pymc3
variables for the spot properties of each spot.


Probably the most popular energy drink, Red Bulls aren't neccessarily the best.
Probably the most popular energy drink, Red Bulls aren't neccessarily the best.
Probably the most popular energy drink, Red Bulls aren't neccessarily the best.
Probably the most popular energy drink, Red Bulls aren't neccessarily the best.
Monster energy drinks are good too. They have an interesting label.
Monster energy drinks are good too. They have an interesting label.
Monster energy drinks are good too. They have an interesting label.
Monster energy drinks are good too. They have an interesting label.


There are two parts to Helm: The Helm client (helm
) and the Helm server (Tiller). This guide shows how to install the client, and then proceeds to show two ways to install the server.
IMPORTANT: If you are responsible for ensuring your cluster is a controlled environment, especially when resources are shared, it is strongly recommended installing Tiller using a secured configuration. For guidance, see Securing your Helm Installation.
The Helm client can be installed either from source, or from pre-built binary releases.
Every release of Helm provides binary releases for a variety of OSes. These binary versions can be manually downloaded and installed.
tar -zxvf helm-v2.0.0-linux-amd64.tgz
)helm
binary in the unpacked directory, and move it to its desired destination (mv linux-amd64/helm /usr/local/bin/helm
)From there, you should be able to run the client: helm help
.
The Snap package for Helm is maintained by Snapcrafters.
$ sudo snap install helm
Members of the Kubernetes community have contributed a Helm formula build to Homebrew. This formula is generally up to date.
brew install kubernetes-helm
(Note: There is also a formula for emacs-helm, which is a different project.)
Members of the Kubernetes community have contributed a Helm package build to Chocolatey. This package is generally up to date.
choco install kubernetes-helm
Helm now has an installer script that will automatically grab the latest version of the Helm client and install it locally.
You can fetch that script, and then execute it locally. It’s well documented so that you can read through it and understand what it is doing before you run it.
$ curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get > get_helm.sh
$ chmod 700 get_helm.sh
$ ./get_helm.sh
Yes, you can curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get | bash
that if you want to live on the edge.
“Canary” builds are versions of the Helm software that are built from the latest master branch. They are not official releases, and may not be stable. However, they offer the opportunity to test the cutting edge features.
Canary Helm binaries are stored in the Kubernetes Helm GCS bucket. Here are links to the common builds:
Building Helm from source is slightly more work, but is the best way to go if you want to test the latest (pre-release) Helm version.
You must have a working Go environment with glide installed.
$ cd $GOPATH
$ mkdir -p src/k8s.io
$ cd src/k8s.io
$ git clone https://github.com/kubernetes/helm.git
$ cd helm
$ make bootstrap build
The bootstrap
target will attempt to install dependencies, rebuild the vendor/
tree, and validate configuration.
The build
target will compile helm
and place it in bin/helm
. Tiller is also compiled, and is placed in bin/tiller
.
Tiller, the server portion of Helm, typically runs inside of your Kubernetes cluster. But for development, it can also be run locally, and configured to talk to a remote Kubernetes cluster.
The easiest way to install tiller
into the cluster is simply to run helm init
. This will validate that helm
’s local environment is set up correctly (and set it up if necessary). Then it will connect to whatever cluster kubectl
connects to by default (kubectl config view
). Once it connects, it will install tiller
into the kube-system
namespace.
After helm init
, you should be able to run kubectl get pods --namespace kube-system
and see Tiller running.
You can explicitly tell helm init
to…
--canary-image
flag--tiller-image
--kube-context
--tiller-namespace
--service-account
(for RBAC enabled clusters)Once Tiller is installed, running helm version
should show you both the client and server version. (If it shows only the client version, helm
cannot yet connect to the server. Use kubectl
to see if any tiller
pods are running.)
Helm will look for Tiller in the kube-system
namespace unless --tiller-namespace
or TILLER_NAMESPACE
is set.
Canary images are built from the master
branch. They may not be stable, but they offer you the chance to test out the latest features.
The easiest way to install a canary image is to use helm init
with the --canary-image
flag:
$ helm init --canary-image
This will use the most recently built container image. You can always uninstall Tiller by deleting the Tiller deployment from the kube-system
namespace using kubectl
.
For development, it is sometimes easier to work on Tiller locally, and configure it to connect to a remote Kubernetes cluster.
The process of building Tiller is explained above.
Once tiller
has been built, simply start it:
$ bin/tiller
Tiller running on :44134
When Tiller is running locally, it will attempt to connect to the Kubernetes cluster that is configured by kubectl
. (Run kubectl config view
to see which cluster that is.)
You must tell helm
to connect to this new local Tiller host instead of connecting to the one in-cluster. There are two ways to do this. The first is to specify the --host
option on the command line. The second is to set the $HELM_HOST
environment variable.
$ export HELM_HOST=localhost:44134
$ helm version # Should connect to localhost.
Client: &version.Version{SemVer:"v2.0.0-alpha.4", GitCommit:"db...", GitTreeState:"dirty"}
Server: &version.Version{SemVer:"v2.0.0-alpha.4", GitCommit:"a5...", GitTreeState:"dirty"}
Importantly, even when running locally, Tiller will store release configuration in ConfigMaps inside of Kubernetes.
As of Helm 2.2.0, Tiller can be upgraded using helm init --upgrade
.
For older versions of Helm, or for manual upgrades, you can use kubectl
to modify the Tiller image:
$ export TILLER_TAG=v2.0.0-beta.1 # Or whatever version you want
$ kubectl --namespace=kube-system set image deployments/tiller-deploy tiller=gcr.io/kubernetes-helm/tiller:$TILLER_TAG
deployment "tiller-deploy" image updated
Setting TILLER_TAG=canary
will get the latest snapshot of master.
Because Tiller stores its data in Kubernetes ConfigMaps, you can safely delete and re-install Tiller without worrying about losing any data. The recommended way of deleting Tiller is with kubectl delete deployment tiller-deploy --namespace kube-system
, or more concisely helm reset
.
Tiller can then be re-installed from the client with:
$ helm init
helm init
provides additional flags for modifying Tiller’s deployment manifest before it is installed.
--node-selectors
The --node-selectors
flag allows us to specify the node labels required for scheduling the Tiller pod.
The example below will create the specified label under the nodeSelector property.
helm init --node-selectors "beta.kubernetes.io/os"="linux"
The installed deployment manifest will contain our node selector label.
...
spec:
template:
spec:
nodeSelector:
beta.kubernetes.io/os: linux
...
--override
--override
allows you to specify properties of Tiller’s deployment manifest. Unlike the --set
command used elsewhere in Helm, helm init --override
manipulates the specified properties of the final manifest (there is no “values” file). Therefore you may specify any valid value for any valid property in the deployment manifest.
In the example below we use --override
to add the revision property and set its value to 1.
helm init --override metadata.annotations."deployment\.kubernetes\.io/revision"="1"
Output:
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
...
In the example below we set properties for node affinity. Multiple --override
commands may be combined to modify different properties of the same list item.
helm init --override "spec.template.spec.affinity.nodeAffinity.preferredDuringSchedulingIgnoredDuringExecution[0].weight"="1" --override "spec.template.spec.affinity.nodeAffinity.preferredDuringSchedulingIgnoredDuringExecution[0].preference.matchExpressions[0].key"="e2e-az-name"
The specified properties are combined into the “preferredDuringSchedulingIgnoredDuringExecution” property’s first list item.
...
spec:
strategy: {}
template:
...
spec:
affinity:
nodeAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- preference:
matchExpressions:
- key: e2e-az-name
operator: ""
weight: 1
...
--output
The --output
flag allows us skip the installation of Tiller’s deployment manifest and simply output the deployment manifest to stdout in either JSON or YAML format. The output may then be modified with tools like jq
and installed manually with kubectl
.
In the example below we execute helm init
with the --output json
flag.
helm init --output json
The Tiller installation is skipped and the manifest is output to stdout in JSON format.
"apiVersion": "extensions/v1beta1",
"kind": "Deployment",
"metadata": {
"creationTimestamp": null,
"labels": {
"app": "helm",
"name": "tiller"
},
"name": "tiller-deploy",
"namespace": "kube-system"
},
...
By default, tiller
stores release information in ConfigMaps
in the namespace where it is running. As of Helm 2.7.0, there is now a beta storage backend that uses Secrets
for storing release information. This was added for additional security in protecting charts in conjunction with the release of Secret
encryption in Kubernetes.
To enable the secrets backend, you’ll need to init Tiller with the following options:
helm init --override 'spec.template.spec.containers[0].command'='{/tiller,--storage=secret}'
Currently, if you want to switch from the default backend to the secrets backend, you’ll have to do the migration for this on your own. When this backend graduates from beta, there will be a more official path of migration
In most cases, installation is as simple as getting a pre-built helm
binary and running helm init
. This document covers additional cases for those who want to do more sophisticated things with Helm.
Once you have the Helm Client and Tiller successfully installed, you can move on to using Helm to manage charts.


Here we go!
Language selector quiz.
Enter Your Name
Based on these answers we will show you the code language that you should learn. How do you feel about learning?
I am lazy, I dont like to learn or get off the couch.
I cant stop learning, I even learn in my sleep.
I am not sure if I like to learn or not. Just thinking about learning feels like learning.
What kind of foodie are you?
I am a total chef and I rock it in the kitchen.
I cant even cook scrambled eggs.
I am not sure if I like cooking because I have never tried it.
How important is exercise to you?
I am a total gym rat, I dont ever miss a day at the gym.
I have never stepped foot in a gym in my entire life.
I am not a fan of the gym but I exercise a decent amount.
How important is your love life?
I am a hopeless romantic and I have never been single.
I am not sure I have never been in a relationship.
I am a lonewolf, relationships are too much work.
How important is music to you?
Music is my religion and my vinyl is its bible.

I like some music but not all of it.
Press here to see your language
The language for you is Ruby.
The language for you is Python.
The language for you is React.


India-bound Kia compact SUV takes shape
by Jaiveer MehraSpied in Korea, Kia’s smallest SUV gets upright styling; will come to India next year.
It was late last year when we revealed that Kia was working on a compact SUV (codenamed QYI) to rival the likes of the Hyundai Venue and the Maruti Vitara Brezza. Now, a prototype of the same has been spotted in Korea and it reveals more details about this upcoming SUV.
The heavily disguised test mule gets the traditional upright styling that’s liked by SUV buyers. Unlike other newer SUVs that have launched in India, Kia seems to have given the split-headlamp design a miss, with more conventional headlamp units sitting on either side of the brand’s tiger nose grille; lower down on the front bumper sit fog lamps. The model spotted seems to be either of a mid-spec or a lower variant, because we expect top-spec variants to come with LED lights and Kia’s signature ice-cube styled fog lamps.
The rear of the upcoming Kia compact SUV looks heavily disguised, though the images do show a raked rear windshield and a little of the tail-lamps detailing. This, however, confirms that the Kia SUV will get a completely new and more rounded body shell, as opposed to the Hyundai Venue’s more squarish design.
While the model is expected to share its underpinnings with the Hyundai Venue, Kia has done enough to give the model a distinctive look, including changes to the window line, especially near the rear quarter-glass. Completing the exterior look are 16-inch wheels that are interestingly shod with Apollo 215/60 R16 tyres, which are also seen on duty on the Hyundai Venue.
There were no images of the car’s interior, though you can see a third adjustable headrest for the rear-centre occupant. Compared to the rest of its rivals, expect the compact SUV’s cabin to be a more upmarket affair – given Kia’s positioning as a premium brand of parent company Hyundai – along with plenty of kit on offer.
Engine options are likely to include turbocharged petrol and diesel engine options, with the India-spec model expected to share its engines with the Venue.
The Kia compact SUV will most likely be the brand’s third model in India, following the Carnival MPV launch that will take place in the coming months.


To Use: Just add data attributes to your row elements, like so: <div class="row" data-columns="16">
You can also change the gutter width with data-gutter-width="15"
(Twitter Bootstrap's default is 30px).
Easily add as many columns as you need.
The padding had to be removed to make these fit...But it can be done...
So why bother? Well, you may need a more finite grid for your design. While no one expects to have 64 columns full of content, having the ability to divide to this degree comes in handy. Not all designs can be fit into a 12 column grid.
Gutter width can also be adjusted to change Twitter Bootstrap's default of 30px. Remember this is divided by two so that each column has an equal amount of padding and the space between each is equal to the desired width. However, the first column has a left padding of half and the last column has a right padding of half the set value.
If you want this to be a true gutter, leaving no padding to the left of the first column and no padding to the right of the last (so that type sits flush), you can set the data-flush-row="true"
data attribute to true.
Keep gutter widths consistent regardless of device resolution. By default, the padding is going to be scaled for devices with lower resolutions (reduced by half). The idea is to attempt to look the same visually. Plus, there isn't much need to keep such a large amount of padding on smaller devices which are already limited in size. However, you can of course keep the padding consistent if you like (note that the following example should be viewed on a smaller device to see the difference in the gutter).
These classes work just the same as before.


Crop Yield Predictions
Check out all of these gorgeous mountain trips with beautiful views of, you guessed it, the mountains
Earnings Predictions
Check out all of these gorgeous mountain trips with beautiful views of, you guessed it, the mountains
Policy Predictions
Check out all of these gorgeous mountain trips with beautiful views of, you guessed it, the mountains
Market Shock Predictions
Check out all of these gorgeous mountain trips with beautiful views of, you guessed it, the mountains


{% load comment_tags %}
{% get_range_commenters_url object 0 10 as commenters_url %}
{% if object|get_class_name == "BlogPost" %}
Review
{% comment_count_on_object object as total_comments %}
{% else %}
{% comment_count_on_object object as total_comments %}
{% endif %}


|
DeBox Analytics
|
A proxy IAnalyticsManager that caches all the analytics operations to the local Unity PlayerPrefs so the events and data will persist across crashes and restarts of the app More...
Public Member Functions | |
| PlayerPrefsCachedAnalyticsManager (string name, IAnalyticsManager analyticsManager) | |
| Create a new PlayerPrefsCachedAnalyticsManager that caches for the given IAnalyticsManager More... | |
| void | Initialize () |
| Perform Initialize on the contained manager More... | |
| void | Identify (string id) |
| Perform Identify on the contained manager More... | |
| void | Increment (string attribute, int value) |
| Cache an Increment operation. The operation will be sent on Flush() More... | |
| void | Increment (string attribute, float value) |
| Cache an Increment operation. The operation will be sent on Flush() More... | |
| void | Set (string attribute, object value) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | SetOnce (string attribute, object value) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | AddToList (string attribute, params object[] values) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | UnionList (string attribute, params object[] values) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | IntersectList (string attribute, params object[] values) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | RemoveFromList (string attribute, params object[] values) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | TrackEvent (string eventName) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | TrackEvent (string eventName, Dictionary< string, object > attributes) |
| Cache an increment operation. The operation will be sent on Flush() More... | |
| void | SetTrackingAttribute (string attributeName, object value) |
| Perform SetTrackingAttribute on the contained manager More... | |
| void | SetTrackingAttributeOnce (string attributeName, object value) |
| Perform SetTrackingAttributeOnce on the contained manager More... | |
| void | TrackRevenue (string product, int quantity, float price) |
| Not supported More... | |
| void | Flush () |
| Flush all the cached operations to the contained manager, then flush the contained manager More... | |
| bool | SupportsFeature (AnalyticsFeatureType feature) |
| Returns SupportsFeature of the contained manager More... | |
A proxy IAnalyticsManager that caches all the analytics operations to the local Unity PlayerPrefs so the events and data will persist across crashes and restarts of the app
Example:
Definition at line 24 of file PlayerPrefsCachedAnalyticsManager.cs.
| DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.PlayerPrefsCachedAnalyticsManager | ( | string | name, |
| IAnalyticsManager | analyticsManager | ||
| ) |
Create a new PlayerPrefsCachedAnalyticsManager that caches for the given IAnalyticsManager
| name | PlayerPrefs key prefix for all the data of this manager |
| analyticsManager | The proxied IAnalyticsManager implementation |
Definition at line 52 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.AddToList | ( | string | attribute, |
| params object[] | values | ||
| ) |
Cache an increment operation. The operation will be sent on Flush()
| attribute | |
| values |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 152 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.Flush | ( | ) |
Flush all the cached operations to the contained manager, then flush the contained manager
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 274 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.Identify | ( | string | id | ) |
Perform Identify on the contained manager
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 85 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.Increment | ( | string | attribute, |
| float | value | ||
| ) |
Cache an Increment operation. The operation will be sent on Flush()
| attribute | |
| value |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 112 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.Increment | ( | string | attribute, |
| int | value | ||
| ) |
Cache an Increment operation. The operation will be sent on Flush()
| attribute | |
| value |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 95 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.Initialize | ( | ) |
Perform Initialize on the contained manager
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 77 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.IntersectList | ( | string | attribute, |
| params object[] | values | ||
| ) |
Cache an increment operation. The operation will be sent on Flush()
| attribute | |
| values |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 187 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.RemoveFromList | ( | string | attribute, |
| params object[] | values | ||
| ) |
Cache an increment operation. The operation will be sent on Flush()
| attribute | |
| values |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 206 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.Set | ( | string | attribute, |
| object | value | ||
| ) |
Cache an increment operation. The operation will be sent on Flush()
| attribute | |
| value |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 129 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.SetOnce | ( | string | attribute, |
| object | value | ||
| ) |
Cache an increment operation. The operation will be sent on Flush()
| attribute | |
| value |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 140 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.SetTrackingAttribute | ( | string | attributeName, |
| object | value | ||
| ) |
Perform SetTrackingAttribute on the contained manager
| attributeName | |
| value |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 244 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.SetTrackingAttributeOnce | ( | string | attributeName, |
| object | value | ||
| ) |
Perform SetTrackingAttributeOnce on the contained manager
| attributeName | |
| value |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 254 of file PlayerPrefsCachedAnalyticsManager.cs.
| bool DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.SupportsFeature | ( | AnalyticsFeatureType | feature | ) |
Returns SupportsFeature of the contained manager
| feature |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 293 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.TrackEvent | ( | string | eventName | ) |
Cache an increment operation. The operation will be sent on Flush()
| eventName |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 224 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.TrackEvent | ( | string | eventName, |
| Dictionary< string, object > | attributes | ||
| ) |
Cache an increment operation. The operation will be sent on Flush()
| eventName | |
| attributes |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 234 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.TrackRevenue | ( | string | product, |
| int | quantity, | ||
| float | price | ||
| ) |
Not supported
| product | |
| quantity | |
| price |
| NotImplementedException |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 266 of file PlayerPrefsCachedAnalyticsManager.cs.
| void DeBox.Analytics.PlayerPrefsCachedAnalyticsManager.UnionList | ( | string | attribute, |
| params object[] | values | ||
| ) |
Cache an increment operation. The operation will be sent on Flush()
| attribute | |
| values |
Implements DeBox.Analytics.IAnalyticsManager.
Definition at line 168 of file PlayerPrefsCachedAnalyticsManager.cs.


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The access privileges should be restricted to the least necessary to perform job responsibilities.
The least privilege principle helps prevent unauthorized access.
Verify that the data access policy follows the least privilege principles by performing the following steps:
Review authorization documents. Check the access authorization documents in the network documentation to make sure they explicitly define access privileges.
Check ACLs. Check the access control systems for a sample of users to make sure only authorized access is allowed. The authorization documents should follow the least privilege principle by only granting access necessary for the job function. Therefore access controls based on such authorization documents also follow the least privilege principle.
Use the following steps to implement the data access policy using the lease privilege principle:
Identify job functions. Identify the job functions of each employee.
Identify access requirements. Identify the data access required for each employee. Define the data access privileges for each employee based on job responsibilities.
Get management approval. Have the management review and authorize the data-access privilege specifications.
Configure ACLs. Once approved, implement the data access control systems.
Update documentation. Attach the access authorization documents to the network documentation.
For more information about the Least Privilege principle, please see "Principle of least privilege" at http://en.wikipedia.org/wiki/Least_privilege.


Best Early Black Friday Tech Deals In Australia
by Sarah BasfordOne of the biggest sale days of the year is nearly upon is. Black Friday is mere days away but you don't have to wait until that magic date if you want to nab yourself a great tech deal. Here are some of the best early Black Friday tech sales for Australians.
Where to get Black Friday sales in Australia?
The answer is everywhere but to help you narrow it down a bit, the biggest marketplaces include:
Give me some early Black Friday tech deals
Apple 12" MacBook 512GB
MacBooks rarely come very far down in price so now's a good time to buy into the Apple ecosystem with this now-discontinued 12-inch model. It's being sold for more than a $2000 in other retailers so it's certainly a great price for the specs (and it's Apple, you're always going to pay more).
Fitbit Versa Lite
Usually retailing for $249.95, the Versa Lite gives you what you the basics of smartwatch workouts for a more affordable price. You won't be able to submerge this one or house all your tunes on it like the Versa 2 but it will still give you your steps, the time, your heartrate and all the other regular features. Sadly, only the bright blue and purple bands are under the $200 mark while the more subtle white and grey bands will cost you a little more.
Xbox One X 1TB Console – Gears 5 Bundle
Microsoft is chucking huge discounts in the lead up to Black Friday so you can grab yourself a Xbox One X 1TB console bundle with the recently released Gears 5 for a great price.
BOSE QuietComfort 35 II Headphones
Regularly rated as one of the best noise-cancelling wireless headphones out there, the only problem with Bose's QuietComfort II is that they're pretty pricey. Thankfully, this sale knocks $124 off the price to give you a bit more breathing space.
HP Envy x2 Detachable Notebook
If you're not in any rush to charge into the Apple ecosystem, the Microsoft eBay store is slashing plenty of Windows laptops and notebooks. The HP Envy x2 is a good option for on-the-go but the range of Surface Pro products and even Huawei's Matebook 13" has dropped to $1399.
BOSE Home Speaker 500
If you've been considering getting a smart home speaker but you wanted to double it up as a crisp music player, Bose's Home Speaker 500 has got it in the bag. It comes with Alexa and a cute little display so you'll not feel as guilty about dropping nearly $500 on a crisp speaker.
As Gizmodo editors we write about stuff we like and think you'll like too. Gizmodo often has affiliate partnerships, so we may get a share of the revenue from your purchase.


GameVersion
–
+
×
Current Game Version:
Click
here
to change Game Version
Action
–
+
×
Google Spreadsheet URL
View
Text String From Database
–
+
×
Show Profanity Text
English
Arabic
Export To Google Spreadsheet
Export To CSV
Profanity Text From Google Spreadsheet
–
+
×
English
Arabic
Publish
Result
–
+
×


Queues
Conversation ID
Participant ID
Name
User Id
Connected Time
End Time
Queue ID
Purpose
Address
Wrapup


{% extends "template.html" %} {% block body %}
Bringing SWEET-Cat to new sweets!
A detailed description of each field can be found here, or by hovering your mouse over each column name.
Downdload the table in the following formats: TSV CSV HDF


Total bricks: {{ volumeinfo["num_bricks"] }}
Add brick: {% for peer in peerlist %} {{ peer }} {% endfor %}
(No bricks were added)
Force add brick (not recommended)


Hello everyone and welcome! My name is Alymbek and I am a M.Sc. student in Autonomous Systems. I work currently on my master's thesis with the title "Learning tactile skills for architectural assembly".
I am a software developer at Varian Medical Systems developing a distributed machine learning portal for medical researchers. We mainly use AngularJS, Bootstrap, ASP.NET, Python and MySQL.
I love my lovely fiancée, guitars, chess, jogging, football, tennis, winter sports, singing and F.C.Barcelona.


| Jump to DART Documentation Main Index |
Utility program to generate an ensemble of perturbed ensemble member restart files. This program can be run in parallel and used as a stand alone program.
This namelist is read from the file input.nml. Namelists start with an ampersand '&' and terminate with a slash '/'. Character strings that contain a '/' must be enclosed in quotes to prevent them from prematurely terminating the namelist.
&perturb_single_instance ens_size = '' input_files = '' output_files = '' output_file_list = '' perturbation_amplitude = 0.0 single_restart_file_in = .false. /
| Item | Type | Description |
|---|---|---|
| ens_size | integer | Total number of ensemble members. |
| input_files | character(len=256),dimension(num_domains) | The restart file you would like to perturb from. |
| output_file_list | character(len=256) | A file containing a list of the desired output names. |
| output_files | character(len=256) | An array of filenames |
| perturbation_amplitude | real(r8) | The desired perturbation amplitude. If the model provides an interface then it will use that subroutine, otherwise it will simply add gaussian noise to the entire state, and this is the standard deviation. |
| single_restart_file_in | logical | A boolean, specifying if you have a single file restart, such as the case for lower order models. |
Below is an example of a typical namelist for the perturb_single_instance.
&perturb_single_instance_nml ens_size = 3 input_files = 'caminput.nc' output_files = 'cam_pert1.nc','cam_pert2.nc','cam_pert3.nc' /
| Routine | Message | Comment |
|---|---|---|
| perturb_single_instance | Invalid method number | Values 1-4 are supported |
none
none
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


KEXEC_LOAD
Section: Linux System Calls (2)Updated: 4 September 2006
Index Return to Main Contents
NAME
kexec_load - loads a new kernel image to memorySYNOPSIS
#include <syscall.h> #include <kexec.h> long kexec_load(unsigned long entry, unsigned long nr_segments, struct kexec_segment *segments, unsigned long flags);
DESCRIPTION
kexec_load loads the new kernel from the current address space.This system call can only be used by root.
entry is a pointer to the entry point of newly loaded executable image. This is the memory location where kernel will jump to and start executing instructions of newly loaded image.
nr_segments denotes the number of segments which will be passed to kexec_load. The value must not be greater than KEXEC_SEGMENT_MAX.
segments denotes a pointer to the first element of an array of kexec_segment elements. A kexec_segment element contains the details of a segment to be loaded in memory.
flags
Sixteen most significant bits of the flag are used to communicate
the architecture information (KEXEC_ARCH_*).
The values for various architectures
are same as defined by ELF specifications.
Lower sixteen bits have been reserved for miscellaneous information.
Currently only one bit is being used and rest fifteen have been
reserved for future use.
The least significant bit (KEXEC_ON_CRASH) can be set to inform the
kernel that the
memory memory image being loaded is to be executed upon a system
crash and not regular boot. For regular boot, this bit is cleared.
RETURN VALUE
On success, zero is returned. On error, nonzero value is returned, and errno is set appropriately.ERRORS
EPERM the calling process has not sufficient permissions (is not root).EINVAL the flags argument contains an invalid combination of flags, or nr_segments is greater than KEXEC_SEGMENT_MAX.
ENOMEM there is not enough memory to store the kernel image.
EBUSY the memory location which should be written to is not available now.
AVAILABILITY
This syscall is implemented only since kernel 2.6.13Index
This document was created by man2html, using the manual pages.
Time: 05:33:04 GMT, December 24, 2015


@()(implicit context: ViewContext) @main("Welcome to the Scala Blog application using event sourcing") {
Click on posts to see the current blog posts.


Github project page
Weight Methods Avaliation
Weight Estimation by Parametric Models and Statiscal Methods.
Input
Contents of the file:
3D orbit view of hull
Weight Structural Estimation
Method
Results
E Numeral Lyods (t)
Midship Parametric Weight (t)
Quadricubic Method (t)
Statical Analysis (t)
Inland Parametric Weight (t)


Type inside the text box and the roman characters will be replaced by
their correspondent kana.
You may use lower case for hiragana and lower case for
katakana.
Some characters are accepted by using more than one romanization:
し, shi, also accepted as [si]
じ, ji, also accepted as [zi]
ぢ, 'ji, also accepted as [di]
づ, 'zu, also accepted as [du]
ん, n, is detected as you type n followed by a consonant,
or at the end of a word (space). Another option is to use'n, n', ñ or ç.
っ, little tsu(shows a double consonant), is detected as you type
t followed by a consonant, or if you repeat a consonant.
The same goes for their katakana counterparts.
It is also possible to type some punctuation, that will be replaced by their
full-width equivalents.
I also implemented buttons as a way to input hiragana,
katakana and each level of the jouyou kanji.
If you keep your cursor over each button, its meaning and readings(japanese,
kun-yomi, and chinese, on-yomi) will appear.
In order to save the text, you only have to copy it to a text editor with a font
that supports Unicode(i.e Arial Unicode).
If you liked this virtual keyboard, feel free to copy it.
This is free software under the MIT LICENCE.
TODO:
Divide the levels that have too many kanji
Avoid the cursor position change while replacing symbols
Insert the button's symbols after the cursor's position, not at the end of the text


Alibaba confirm global offering at HK$176/share
Hong Kong listing of e-commerce giant’s shares on November 26, pricing indicates discount of 2.9% to ADS price
by Umesh DesaiAlibaba set a price of HK$176 per share on Wednesday for its global offering of 500 million shares, which will be listed on the Hong Kong stock exchange, confirming an Asia Times scoop earlier in the day.
This is within the HK$188 price cap announced by the company earlier this month and at a discount to the closing price of its New York-listed ADS (American Depositary Shares). Each ADS is the equivalent of eight HK-listed shares.
The secondary listing would raise US$12.9 billion, including the over-allotment ahead of its November 26 listing, a source told Asia Times earlier. The shares will trade under the ticker 9988, inspired by auspicious numbers in Chinese culture with 9 representing long and 8 representing prosperous. Alibaba said the offer price of the global offering translates to approximately US$180 per ADS.
At this price the shares would be priced at a 2.9% discount to Alibaba’s closing price of US$185.25 in New York last night, after factoring in the exchange rate, transaction costs and stamp duties. China International Capital Corporation (CICC) and Credit Suisse are the sponsors for the secondary offering in Hong Kong.


Augmentations
-
packnet_sfm.datasets.augmentations.
colorjitter_sample
(sample, parameters, prob=1.0)[source] Jitters input images as data augmentation.
- Parameters
sample (dict) – Input sample
parameters (tuple (brightness, contrast, saturation, hue)) – Color jittering parameters
prob (float) – Jittering probability
- Returns
sample – Jittered sample
- Return type
dict
-
packnet_sfm.datasets.augmentations.
duplicate_sample
(sample)[source] Duplicates sample images and contexts to preserve their unaugmented versions.
- Parameters
sample (dict) – Input sample
- Returns
sample – Sample including [+”_original”] keys with copies of images and contexts.
- Return type
dict
-
packnet_sfm.datasets.augmentations.
resize_depth
(depth, shape)[source] Resizes depth map.
- Parameters
depth (np.array [h,w]) – Depth map
shape (tuple (H,W)) – Output shape
- Returns
depth – Resized depth map
- Return type
np.array [H,W]
-
packnet_sfm.datasets.augmentations.
resize_image
(image, shape, interpolation=1)[source] Resizes input image.
- Parameters
image (Image.PIL) – Input image
shape (tuple [H,W]) – Output shape
interpolation (int) – Interpolation mode
- Returns
image – Resized image
- Return type
Image.PIL
-
packnet_sfm.datasets.augmentations.
resize_sample
(sample, shape, image_interpolation=1)[source] Resizes a sample, including image, intrinsics and depth maps.
- Parameters
sample (dict) – Dictionary with sample values
shape (tuple (H,W)) – Output shape
image_interpolation (int) – Interpolation mode
- Returns
sample – Resized sample
- Return type
dict
-
packnet_sfm.datasets.augmentations.
resize_sample_image_and_intrinsics
(sample, shape, image_interpolation=1)[source] Resizes the image and intrinsics of a sample
- Parameters
sample (dict) – Dictionary with sample values
shape (tuple (H,W)) – Output shape
image_interpolation (int) – Interpolation mode
- Returns
sample – Resized sample
- Return type
dict
-
packnet_sfm.datasets.augmentations.
to_tensor
(image, tensor_type='torch.FloatTensor')[source] Casts an image to a torch.Tensor
-
packnet_sfm.datasets.augmentations.
to_tensor_sample
(sample, tensor_type='torch.FloatTensor')[source] Casts the keys of sample to tensors.
- Parameters
sample (dict) – Input sample
tensor_type (str) – Type of tensor we are casting to
- Returns
sample – Sample with keys cast as tensors
- Return type
dict


Coverage Summary for Class: Among (opennlp.tools.stemmer.snowball)
| Class | Class, % | Method, % | Line, % |
|---|---|---|---|
| Among | 100% (1/ 1) | 100% (1/ 1) | 85.7% (12/ 14) |
1 // CHECKSTYLE:OFF
2 /*
3
4 Copyright (c) 2001, Dr Martin Porter
5 Copyright (c) 2002, Richard Boulton
6 All rights reserved.
7
8 Redistribution and use in source and binary forms, with or without
9 modification, are permitted provided that the following conditions are met:
10
11 * Redistributions of source code must retain the above copyright notice,
12 * this list of conditions and the following disclaimer.
13 * Redistributions in binary form must reproduce the above copyright
14 * notice, this list of conditions and the following disclaimer in the
15 * documentation and/or other materials provided with the distribution.
16 * Neither the name of the copyright holders nor the names of its contributors
17 * may be used to endorse or promote products derived from this software
18 * without specific prior written permission.
19
20 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
21 AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
22 IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
23 DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
24 FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
25 DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
26 SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
27 CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
28 OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
29 OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
30
31 */
32
33 package opennlp.tools.stemmer.snowball;
34
35 import java.lang.reflect.Method;
36
37 class Among {
38 public Among (String s, int substring_i, int result,
39 String methodname, SnowballProgram methodobject) {
40 this.s_size = s.length();
41 this.s = s.toCharArray();
42 this.substring_i = substring_i;
43 this.result = result;
44 this.methodobject = methodobject;
45 if (methodname.length() == 0) {
46 this.method = null;
47 } else {
48 try {
49 this.method = methodobject.getClass().
50 getDeclaredMethod(methodname, new Class[0]);
51 } catch (NoSuchMethodException e) {
52 throw new RuntimeException(e);
53 }
54 }
55 }
56
57 public final int s_size; /* search string */
58 public final char[] s; /* search string */
59 public final int substring_i; /* index to longest matching substring */
60 public final int result; /* result of the lookup */
61 public final Method method; /* method to use if substring matches */
62 public final SnowballProgram methodobject; /* object to invoke method on */
63 }


As funny as a jello salad
Drop Dead Gorgeous A Film Review By Michael Redman Copyright 1999 By Michael Redman
** (out of ****)
Back in prehistoric times, somewhere in the seventies, battles raged over beauty contests. Opponents accused the pageants of objectifying women. They said that parading the contestants in bathing suits like so many sides of beef lowered women to "sex objects".
Putting aside the discussion of whether being seen as sex object occasionally is a necessarily bad thing, the critics scored at least minor victories. The contests became more focused on talent and poise and less on the swimsuit competition.
Of course it is just a coincidence that the most talented women with the most poise always turn out to be hot babes.
Especially debatable are the teenage contests that encourage young women to engage in cut-throat competition with their friends to win the coveted title of "Miss Porkbelly".
Are the high school girls in Mount Rose, Minnesota eager to become "Miss Teen Princess America"? Are they willing to do almost anything necessary to win?
Yah, you betcha.
Former winner Gladys Leeman (Kirstie Ally) has raised her daughter Becky (Denise Richards) from birth to win this contest. Conveniently Gladys is the head of the local pageant committee. Some might say this gives Becky a head start, but it doesn't matter much. The Leemans are what passes for wealthy in the small town and always get what they want.
Becky's main competition is Amber Atkins (Kirsten Dunst), a talented ambitious girl from the wrong side of town. Her trailer-trash mother Annette (Ellen Barkin) wants her to win, but only because it would provide Amber a ticket out of Smallville.
When the contestants start getting knocked off, the competition takes a deadly turn. Not only are the girls putting Vaseline on their teeth to look good, but they're keeping a close watch on falling stage lights.
The film is presented in the increasing popular "mockumentary" format. A film crew is supposedly sent to Mount Rose to do a documentary on the event and we are watching the result.
While this concept worked well for "Spinal Tap" and others, here it's a bust. Not for minute do we believe this is a documentary. The production values are too high, improbable scenes are included and it looks exactly like what it is.
Beauty contests would seem the perfect fodder for comedy. The subject was treated well in the 1975 "Smile". Holly Hunter was hilarious in the 1989 "Miss Firecracker".
I laughed out loud about four times during this film -- a major accomplishment for any movie. Some of the lowest common denominator humor is undeniably funny.
But more often, the comedy falls flat. Taking a cue from "Fargo", director Michael Patrick Jann plays the blandness of Mount Rose's culture for laughs.  Cigarettes dangle from most mouths. It's entertaining the first time, but repeated over and over, they lose whatever charm they originally possessed.
Many of the bits are aimed at easy targets. The hefty brother of one of the judges is mentally challenged and often runs into windows and loses his pants. He's even referred to as the "mental retard" several times.
The "slut" bits are mildly amusing at first, but also grow old rapidly.
Annette is burned in an explosion and has a beer can welded to her hand. Amber practices her tap dancing while applying makeup to stiffs in a mortuary. An important school function is the Lutheran Sisterhood Gun Club.
Far be it from me to say that there isn't room in the world for politically incorrect humor. But if it's going to be crass, it had better be funny.
"Drop Dead Gorgeous" certainly has those two elements, it's just missing the comedy most of the time. The real beauty contests are much more hilarious.
(Michael Redman has written this column for somewhere around 24 years. He caught wind of a conspiracy at the "Bloomington Independent" to have only female writers in this women's issue, but was able to sneak this in. For the record, he is not a woman, but he likes them.)
[This appeared in the 7/29/99 "Bloomington Independent", Bloomington, Indiana. Michael Redman can be contacted at<EMAIL_ADDRESS>--<EMAIL_ADDRESS>This week's film review: http://www.indepen.com/ Film reviews archive: http://us.imdb.com/M/reviews_by?Michael%20Redman Y2K articles: http://www.indepen.com/
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


[dscrdeql] <CowboyCrypto- Founder> There’s the rest of it lol
[dscrdeql] <AndronicusBass-Founder>
[dscrdeql] <sisana10> Lots of echoes!
[dscrdeql] <x2maano> wow
[dscrdeql] <x2maano> cool
GatewayBOT08-Jul-18 07:02 PM
[dscrdeql] <donaldmathers> Awesome
[dscrdeql] <donaldmathers> That’s exciting
[dscrdeql] <KQweci> When the project set off are you going to employ workers
[dscrdeql] <AndronicusBass-Founder> Yes
[dscrdeql] <donaldmathers> Nice
[dscrdeql] <AndronicusBass-Founder> Part of our project includes making an impact for local communities and economies by creating jobs and utilising only local resources/supplies from local businesses
[dscrdeql] <AndronicusBass-Founder> and local labour
[dscrdeql] <donaldmathers> That’s good
[dscrdeql] <KQweci> That's good. I wish to be part of the ground work force to the project
[dscrdeql] <Jonathan> Me too. That flight would be expensive though
[dscrdeql] <KQweci> I'm sure of that
[dscrdeql] <KQweci> But you can recover cost after project
[dscrdeql] <KQweci> I'm having a job interview with a contraction comany in Berlin august
[dscrdeql] <AndronicusBass-Founder> Nice, in construction?
[dscrdeql] <KQweci> Construction*
[dscrdeql] <KQweci> Yeah
[dscrdeql] <AndronicusBass-Founder> What do you specialise in?
[dscrdeql] <KQweci> Masonry
[dscrdeql] <KQweci> Sorry network issues here
[dscrdeql] <cypherzero> Beer is wonderful!
[dscrdeql] <cypherzero> A dream come true
[dscrdeql] <sourge> lol
[dscrdeql] <cypherzero> Yesterday we drank vodka
Russia lost
Destroyed the balalaikas
Beat the bear
[dscrdeql] <AndronicusBass-Founder> @KQweci Did you do an apprenticeship?
[dscrdeql] <donaldmathers> Hi
[dscrdeql] <KQweci> Yeah and had my nvti cert
[dscrdeql] <AndronicusBass-Founder> I didnt know, that is really cool
[dscrdeql] <donaldmathers> Yea
[dscrdeql] <donaldmathers> That id
[dscrdeql] <donaldmathers> Is
[dscrdeql] <CowboyCrypto- Founder> @Jonathan where u from
[dscrdeql] <Jonathan> Virginia
[dscrdeql] <Jonathan> originally from Tennessee
[dscrdeql] <CowboyCrypto- Founder> What part of Tennessee
[dscrdeql] <Jonathan> 30 miles north of Knoxville
[dscrdeql] <CowboyCrypto- Founder> Ah.
[dscrdeql] <KQweci>
[dscrdeql] <CowboyCrypto- Founder> I’m from West Tennessee
[dscrdeql] <donaldmathers>
[dscrdeql] <Jonathan> What part?
[dscrdeql] <KQweci> Wow Jonathan u are a lucky guy
[dscrdeql] <CombatWombat> good night everyone have a great day/night
[dscrdeql] <CowboyCrypto- Founder> Product of North Memphis


To explain what is “End to End User Scenarios”, we should first explain what is “End to End”, which we can called E2E for short.
There is not a very clear definition of E2E in wiki.[1] In dictionary, it can both refer to “throughout” or “the end of one object connect to the end of another object”.[2]
E2E is usually used in Logistics, Computer Networking and Software Testing. For example, End-to-end testing is a methodology used to test whether the flow of an application is performing as designed from start to finish. The entire application is tested in a real-world scenario.
So in my view, the most essential part of E2E is that we must focus on the entire process, including every parts in a use case.
User scenarios is a common term in UX Design,[3][4] which expands upon our persona and user stories by including details. It told us about users’ motivation, goals and actions on our products.
To make it better, there comes “End to End User Scenarios”, not just tell a fragment of users’ activities, but pay attention to the entire process the user undergoes.
That means we should consider the whole things from the start point that user want to use our products to the ended up point that user get results and leave our products.
Only when we know who does what on our products, how and why they do it, can we define design requirements concrete enough to actually meet them. So it really helps us to improve our UX of our products.
We just put the two terms together and give it a explanation, but it can be farther. When we truly design an experience, End to End User Scenarios can helps more:
There is a interesting instance [5] told that sometimes we are already satisfy of our designed UX, but if we look beyond the both ends of the designed experience by extending the scope of the timeline before and after… we may sadly realize that it’s a complete car crash outside the scope of the designed experience…
Try to extend the scope and consider more, so can we design a much broader experience for our user.
UX Designers always dive into a User Flow and try to shorten the user paths. The idea of End to End User Scenarios can do the same things.
For example, in the past, if I want to know the weather today. I should typically visit a search engine website, input and search “weather”, click the first link that search result page shows, then jump into a kind of weather website like “The Weather Channel”, and finally, I got today’s weather information!
But wait! Just consider it using “End to End User Scenarios”, I just want to know about weather so I use search engine right? why should I took a so long user path to get there? Smart Search Engine should told me the weather directly.
That is what all search engine have doing nowadays.
There is many design tools like “End to End User Scenarios” were used by designers, they are really awesome. But the most essential things in my opinion is, still, always thinking about user. All this tools are powerful only based on a truly user-centric mind.
From my perspective, the “End to End User Scenarios” can be generally defined as “Entire Process Considered, User Requirement Centric, Anticipated Experince Design”.
That’s all, thank you.
1.End-to-end - Wikipedia, the free encyclopedia
2.end-to-end - definition of end-to-end by The Free Dictionary
3.How User Scenarios Help To Improve Your UX - The Usabilla Blog
4.How to Create User Stories, Scenarios, and Cases
5.Designing end-to-end user experiences. | 90 Percent Of Everything


A Venn diagram illustrating the difference between an Euler diagram and a Venn diagram. Interact with the sections in the chart for more information. The chart shows that a Venn diagram is a special case of an Euler diagram.


The following are enhancements to runtime performance in 1.4.2. Also see Virtual Machine release notes for issues.
The following are enhancements to the client HotSpot compiler in 1.4.2. Also see Virtual Machine release notes for issues.
The following are enhancements to the server HotSpot compiler in 1.4.2. Also see Virtual Machine release notes for issues.
In this release, these 64-bit versions have the following limitations.
When invoked, the utility displays a thread dump to standard out and indicates any Java-platform-level deadlocks it detects. Refer to this sample output. If the application is deadlocked because two or more threads are involved in a cylce to acquire monitors, then the list of such threads and monitors involved in the deadlocks are displayed. Note, however, that this will not find deadlocks involving threads waiting on monitors on which no signal will be forthcoming.


The WebGPU Samples are a set of WGSL and SPIR-V compatible samples demonstrating the use of the WebGPU API. Please see the current implementation status at webgpu.io. SPIR-V compatible samples will be removed when WGSL is fully implemented.
These samples run in Chrome Canary behind the flag "--enable-unsafe-webgpu". If something isn't working, please file an issue here.


--- layout: 2019_default permalink: /2019/venue title: Venue ---
Date: 10th November 2019 Venue
Address: Level 0-1-5-6-7, Tower 10, Magarpatta Inner Circle, Road, Cybercity, Magarpatta, Hadapsar, Pune, Maharashtra 411028


knockout.contextMenu
knockout.contextMenu
Contextual menu, anywhere you need it
Right click on the input:
Change option one text:
Disable option two
Show option three
Bind it with left click


WorldFirst to provide currency exchange, cross-border payment solutions from DIFC
by TechRadar StaffWorldFirst to provide currency exchange, cross-border payment solutions from DIFC
UK-headquartered company aims to exploit largely untapped e-commerce market in Middle East, Africa and South Asia
(Image credit: DIFC)
UK-headquartered WorldFirst has expanded into Dubai and opened a representative office at Dubai International Financial Centre (DIFC) to create a platform for international trade and currency exchange.
The expansion will enable WorldFirst to provide currency exchange services and cross-border payment solutions for e-commerce businesses and individuals to the Middle East, Africa and South Asia (MEASA) region.
WorldFirst was acquired by Ant Financial, the financial technology arm of Alibaba Group Holding Limited, in February 2019.
“WorldFirst joins more than 2,300 active registered organisations and a FinTech community of more than 100 firms that have made the DIFC their location of choice in order to service the MEASA region,” Arif Amiri, Chief Executive Officer, DIFC Authority, said in a statement.
Moreover, he said the launch will enable WorldFirst to tap into the MEASA region’s burgeoning e-commerce market which is projected to be worth $97 billion by 2020 and continue their upward growth trajectory.
Home to the largest financial ecosystem in the region, the DIFC has succeeded in attracting some of the world's leading financial institutions since 2004.
The DIFC FinTech ecosystem has achieved a three-fold growth since the end of 2018.
To date, Jonathan Quin, CEO at WorldFirst, said that more than 250,000 global customers have chosen WorldFirst for their international transfers.
“We have transferred $70b for customers since our launch and undertaken more than one million transfers per year. Now is an exciting time for the e-commerce industry and we believe the Middle East offers vast potential for growth as we continue our journey to become the world’s best foreign exchange platform for individuals and international businesses,” Quin said.


|
Hephaestus
0.0.4
|
This file defines logging functionality. More...
#include "config.hpp"
#include "hp.hpp"
#include "boost/current_function.hpp"
#include "spdlog/spdlog.h"
#include "spdlog/sinks/stdout_color_sinks.h"
#include "spdlog/sinks/basic_file_sink.h"
#include "spdlog/async.h"
#include "spdlog/fmt/fmt.h"
#include "spdlog/sinks/msvc_sink.h"
#include "spdlog/sinks/syslog_sink.h"
#include <iostream>
#include <iomanip>
#include <sstream>
Go to the source code of this file.
Data Structures | |
| struct | hp::code_location |
| A struct containing filename, funciton name, and line number. More... | |
Namespaces | |
| hp | |
Macros | |
| #define | __HEPHAESTUS_LOGGING_HPP |
This macro is defined if logging.hpp is included. More... | |
| #define | HP_GET_CODE_LOC ::hp::code_location(__FILE__, BOOST_CURRENT_FUNCTION, __LINE__) |
Builds the appropriate hp::code_location struct for where it is invoked. More... | |
| #define | HP_TRACE SPDLOG_TRACE |
Logging macro aliases to SPDLOG_TRACE . See the spdlog documentation. More... | |
| #define | HP_DEBUG SPDLOG_DEBUG |
Logging macro aliases to SPDLOG_DEBUG . See the spdlog documentation. More... | |
| #define | HP_INFO SPDLOG_INFO |
Logging macro aliases to SPDLOG_INFO . See the spdlog documentation. More... | |
| #define | HP_WARN SPDLOG_WARN |
Logging macro aliases to SPDLOG_WARN . See the spdlog documentation. More... | |
| #define | HP_FATAL SPDLOG_CRITICAL |
Logging macro aliases to SPDLOG_CRITICAL . See the spdlog documentation. More... | |
| #define | HP_CRITICAL SPDLOG_CRITICAL |
Logging macro aliases to SPDLOG_CRITICAL . See the spdlog documentation. More... | |
Functions | |
| std::string | hp::current_datetime () |
| Queries the current datetime as a string. More... | |
| void | hp::init_logging (bool use_single_file=true, bool use_unique_file=false) |
| Initialize Hephaestus logging (which uses SPDLOG). More... | |
This file defines logging functionality.
This file also includes "spdlog/fmt/fmt.h"
which enables anyone who includes this file to access fmt::fmt()
. See https://fmt.dev/latest/index.html.
Definition in file logging.hpp.
| #define __HEPHAESTUS_LOGGING_HPP |
This macro is defined if logging.hpp
is included.
Definition at line 15 of file logging.hpp.
| #define HP_CRITICAL SPDLOG_CRITICAL |
Logging macro aliases to SPDLOG_CRITICAL
. See the spdlog documentation.
This macro would be disabled (ie. #define HP_CRITICAL(...)
) if HP_LOGGING_ENABLED
is not defined. Example usage: HP_CRITICAL("Logging message! Values: {}, {}, {}", 2, 3.1415, "Test");
Definition at line 156 of file logging.hpp.
| #define HP_DEBUG SPDLOG_DEBUG |
Logging macro aliases to SPDLOG_DEBUG
. See the spdlog documentation.
This macro would be disabled (ie. #define HP_DEBUG(...)
) if HP_LOGGING_ENABLED
is not defined. Example usage: HP_DEBUG("Logging message! Values: {}, {}, {}", 2, 3.1415, "Test");
Definition at line 124 of file logging.hpp.
| #define HP_FATAL SPDLOG_CRITICAL |
Logging macro aliases to SPDLOG_CRITICAL
. See the spdlog documentation.
This macro would be disabled (ie. #define HP_FATAL(...)
) if HP_LOGGING_ENABLED
is not defined. Example usage: HP_FATAL("Logging message! Values: {}, {}, {}", 2, 3.1415, "Test");
Definition at line 148 of file logging.hpp.
| #define HP_GET_CODE_LOC ::hp::code_location(__FILE__, BOOST_CURRENT_FUNCTION, __LINE__) |
Builds the appropriate hp::code_location
struct for where it is invoked.
See the documentation for hp::code_location
.
Definition at line 106 of file logging.hpp.
| #define HP_INFO SPDLOG_INFO |
Logging macro aliases to SPDLOG_INFO
. See the spdlog documentation.
This macro would be disabled (ie. #define HP_INFO(...)
) if HP_LOGGING_ENABLED
is not defined. Example usage: HP_INFO("Logging message! Values: {}, {}, {}", 2, 3.1415, "Test");
Definition at line 132 of file logging.hpp.
| #define HP_TRACE SPDLOG_TRACE |
Logging macro aliases to SPDLOG_TRACE
. See the spdlog documentation.
This macro would be disabled (ie. #define HP_TRACE(...)
) if HP_LOGGING_ENABLED
is not defined. Example usage: HP_TRACE("Logging message! Values: {}, {}, {}", 2, 3.1415, "Test");
Definition at line 116 of file logging.hpp.
| #define HP_WARN SPDLOG_WARN |
Logging macro aliases to SPDLOG_WARN
. See the spdlog documentation.
This macro would be disabled (ie. #define HP_WARN(...)
) if HP_LOGGING_ENABLED
is not defined. Example usage: HP_WARN("Logging message! Values: {}, {}, {}", 2, 3.1415, "Test");
Definition at line 140 of file logging.hpp.


If your GitHub Enterprise instance uses LDAP Sync with Active Directory LDAP servers, Active Directory LDAP-authenticated users cannot be suspended through this API. If you attempt to suspend an Active Directory LDAP-authenticated user through this API, it will return a 403
response.
PUT /users/:username/suspended
You can suspend any user account except your own.
Note that you'll need to set Content-Length
to zero when calling out to this endpoint. For more information, see "HTTP verbs."
Status: 204 No Content


I had to take elavil for about a year due to headaches from TMJ. I found it to be a nasty devil drug. The effects begin right away but also ramp up as you take it. When I stopped taking it it takes a while to go away (days-weeks) too.
The side effects are, dizziness on standing up, blurred vision, difficuly concentrating, and for me being very short tempered and nasty. The main effect is a grogginess very like taking antihistamines.
The thing is, this is always. I had a headache 24-7 when I stared taking it and after about a year I hated it SO much that I went off and started doing everything I possibly could to avoid headaches without it. I did exercises prescribed to me 1-1/2 hours a day to avoid the headaches without the elavil. I still have headaches often, although not constant ones, and put a lot of time into exercises, physical therapy, etc..
Also, to all the people taking for a buzz. If I am not mistaken it is pretty dangerous in combination with things. Not 'good' potentiation like alchohol and downers, but more like MAO inhibitors in mixture.
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.


The ZerodhaFeeModel
models the fees of Zerodha.
security.SetFeeModel(new ZerodhaFeeModel());
security.SetFeeModel(ZerodhaFeeModel())
The ZerodhaFeeModel
models the order fees of Zerodha with its Equity Intraday fee structure. The following table shows the fees:
| Charge Item | Fee |
|---|---|
| Brokerage Fee | ₹20 per trade or 0.03% (whichever is lower) |
| Exchange Transaction Charge | 0.00345% |
| Securities Transaction Tax | 0.025% |
| Goods and Services Tax | 18% |
| SEBI Charges | 0.0001% |
| Stamp Duty | 0.003% |
The ZerodhaFeeModel
charges fees in INR.
To view the implementation of this model, see the LEAN GitHub repository.


Sliding Doors (1998)
Director: Peter Howitt Cast: Gwyneth Paltrow, John Hannah, John Lynch, Jeanne Tripplehorn, Zara Turner Screenplay: Peter Howitt Producers: Philippa Braithwaite, William Horberg Runtime: 99 min. US Distribution: Miramax Rated R: sex, language
By Nathaniel R. Atcheson<EMAIL_ADDRESS>Sliding Doors is a film that wants to be deep and profound, and often it is. Writer/director Peter Howitt observes the life of a woman named Helen (Gwyneth Paltrow), and how it simultaneously progresses on two different paths. This is, of course, a gimmick, but it's a reasonably well-developed gimmick in this case. The premise, however, is stamped onto the romantic comedy formula, and the result is a film that is thought-provoking at times and irritatingly coy at others. Paltrow is fantastic in the main role, but the very-standard romantic comedy antics often forced my attention away from the film.
When the story introduces us to Helen, she has just been fired from her job.  She walks out on him and essentially starts a new life, which entails meeting James (John Hannah), and getting a new haircut. In the second scenario, she misses the subway, gets mugged, and then returns home just in time to have missed Gerry's mistress; she continues on her life and Gerry continues to lie to her.
Howitt develops both scenarios simultaneously, cutting back and forth throughout the film. At first, I thought this was a bad idea, but it proves useful by the end of the film: many of the things that happen to Helen happen to both of her counterparts simultaneously, and it's interesting to see the way their lives are parallel. This is where the interesting aspects of the film come in, for Howitt's ideas of fate and destiny are executed in such a manner that you might find yourself adopting some of the theories put forth in the film.
There have been many other films that deal with destiny and similar themes. Krzysztof Kieslowski's Three Colors trilogy all deal effectively with the ideas, but his The Double Life of Veronique is devoted entirely to them. I like that film more than this one because it's about two women (both played by the luminous Irene Jacob) who live parallel lives. Sliding Doors, although it is interesting, is little more than a thought-provoking fairy tale: it's not realistic in the sense that both Helens are actually alive at the same time (though I imagine someone could make a case that they are).
I wouldn't mind so much if Howitt's script had lived up to its premise. To begin, the characters are adequately interesting, but most of them are intensely irritating. Paltrow is wonderful (her British inflection is absolutely perfect), and has a demanding presence that I think will keep her in the industry for a long time. Lynch, on the other hand, has been saddled with a character so spineless and annoying that I simply could not stand to watch him. Hannah is also frustratingly manic and jittery, but his character calls for it. Tripplehorn is attractive and demands attention, but she overacts here and often times her character is so ridiculously mean that I couldn't believe it.
The situations Howitt provides are standard romantic comedy fare. The film wants to be realistic, but there are scenes that are laughable and simply unrealistic: when Gerry pulls the blinds to find his mistress standing at the window, he gasps loudly and shuts the blinds. Helen turns around to see what he did, and he covers it up with an unconvincing lie. And one of the many climaxes features people pouring out their hearts to one another in the middle of a rain storm at night. Sometimes scenes like these work, but all of the ones in this film feel suspiciously present to evoke emotions that the film doesn't need to make it's point. Sliding Doors is certainly watchable, but Howitt should have realized that a romantic comedy with an interesting gimmick is still just a romantic comedy.
**1/2 out of **** (6/10, C+)
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
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


I am a ML developer who is experienced in a series of ML projects from data preprocessing to model deploy with a various programming languages and tools. I can not only build a ML model but also prepare the environment for the operation of the applications with ML models.
Engaged in optimizing profit and performance of ad serving with machine learning. Develop a wide range of ML workflow including data preprocessing, model building, API enhancement and AB testing analysis.
After a year engaged in web marketing (owned media operation and customer acquisition), transfer to Department of engineering. Participate in projects utilizing in-house data and building ML models.
Apart from a ML developer, I enjoy my time watching NBA games, listening music and radio. I also like traveling abroad when summer vacation.
And, I devote myself to Kaggle, a platform for ML and data science where users compete to build a better model to predict for tasks. Now, I am a Kaggle Expert but continue to take on the challenge of becoming a Kaggle Master.


My name is Eduardo Pineda, and I am a current Coding Student, studying full time, through Georgia Tech's Coding Boot Camp. I enjoy playing video games, traveling to new places, and trying new and unusual cuisine. For the past 4 years, I was working at Plant Voglte Nuclear Power Plant, as an Union Ironworker.
I currently live in Augusta, GA with my girlfriend, Cassie, and our 2 cats, Cocoa & Pepe. As soon as I finish with my studies, we hope to do a bit of travling abroad, preferably Europe and Asia, Covid-19 permitting.


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Basic morph-tabbar demo
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What are Web Components?
 They enable truly encapsulated and reusable components for the web. And if you think HTML5 changed the web, wait to see what Web Components will do.
For lots more information about it, including articles and presentations, check out webcomponents.org.
— Zeno Rocha, project lead.
Submit your own
Got a great idea for a custom element? Awesome! There are boilerplates for Polymer, X-Tag, and VanillaJS that you can fork and get up and running with a simple component.
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I just received the prebuilt EmonTX V3. Out of the box, everything is working perfectly and it is transmitting to my RaspberryPi and I am getting data in EmonCMS. The board does need calibrating as the numbers are off a little bit.
I opened up a sketch and modified the calibration numbers and cannot get the sketch to upload to the EmonTx.
I connected the EmonTx to my USB-UART adapter and get the following through the Arduino IDE serial port monitor. So there is at least some communication between the EmonTX and my computer.
emonTx V3 Discrete Sampling V1.3 OpenEnergyMonitor.org Performing power-on tests.....please wait 10s CT 1 Calibration: 90.90 CT 2 Calibration: 90.90 CT 3 Calibration: 90.90 CT 4 Calibration: 16.60 RMS Voltage on AC-AC Adapter input is: ~1V AC-AC adapter NOT detected - Apparent Power measurements enabled Assuming VRMS to be 230V Assuming powering from batteries / 5V USB - power saving mode enabled CT 1 detected Unable to detect DS18B20 temperature sensor RFM12B Initiated: Node: 10 Freq: 433Mhz Network: 210 0 0
However, when I try to upload a sketch I get the following error.
System wide configuration file is "C:\Program Files (x86)\Arduino\hardware/tools/avr/etc/avrdude.conf" Using Port : \\.\COM3 Using Programmer : arduino Overriding Baud Rate : 115200 avrdude: Send: 0 [30] [20] avrdude: Send: 0 [30] [20] avrdude: Send: 0 [30] [20] avrdude: Recv: . [00] avrdude: stk500_getsync(): not in sync: resp=0x00 avrdude done. Thank you.
I have verified that the connections are correct, I am using the right port (COM3), and the scilabs CP210x driver is installed. I have also checked that Arduino Uno is the selected board and I am on Windows 7.
Any ideas on what could be wrong?
Re: Issues Loading Sketch [Solved]
Do you have all of the required libraries installed?
Paul
Re: Issues Loading Sketch [Solved]
I have the nine listed in step 5 here and they all show up under File>Sketchbook>libraries in the Arduino IDE :
http://openenergymonitor.org/emon/buildingblocks/installing-arduino-libr...
Is this all of them?
Re: Issues Loading Sketch [Solved]
Yes.
That error code does normally appear if the wrong serial port is selected or the wrong board is selected, but in your case you you have selected UNO which is correct and also appear to have the correct serial port (as you can see the output)....
Paul
Re: Issues Loading Sketch [Solved]
It could also be that the toggle RTS/DTR -> target reset path is not working, although I've no idea why it would be. You could try hitting the target 'Reset' button manually, just as you click on 'Upload' on the IDE and see if that works. The timing is pretty critical, so you may need to play around with it a bit. After reset, the bootloader will wait for about a second for an image to start coming down the serial port. If it hears nothing within that second, it'll jump to the system image and stop listening on the serial port.
A test for this theory is does the target remain undisturbed by the attempt to upload a new image. Does it just keep running what it was running, or does it look like it's been reset? Most bootloaders flash the status LED, so that may be a clue.
I've had a target where that path was broken, and eventually I got pretty good at the timing. Make sure the image is pre-compiled (using the "Verify" tick button in the IDE) so that it's ready to go. Then click on 'Upload' at pretty much exactly the same time as you manually hit the RESET button, and it mostly works out ok.
If that does fix it, then we can investigate why that path is broken.
Re: Issues Loading Sketch [Solved]
That was the issue, thank you very much! I wasn't using the USB-UART adapter from the shop here, but was instead using one I already had for an unrelated project. The one I had laying around connects to the device through a 4 wire cable. I connected +5V, GND, Tx, and Rx and missed RTS, but after going and making a 5th jumper to connect the RTS, everything works.


In this
Google+ Hangout, we showed you how you can use Edgent to work with real sensor data on a Raspberry Pi. We also demonstrated an application where we implemented a smart sprinkler system using Apache Edgent, Raspberry Pi, Watson IoT Platform and the Streaming Analytics service.


1.1. Tsunami events¶
The major areas of the world that experience strong activity with potential for tsunami are along the boundaries of the Pacific ocean with other regions. However, in general, tsunamis can be generated in any coastal area, including inland seas and large lakes. The below image, sourced from NOAA, maps some of the trunami-prone regions in the world.
There are good records for recent tsunamis. However, for those in the past centuries, these are mostly based on the accounts of personal observations. The below image shows the tsunami events caused due to earthquakes/volcanic eruptions/landslides/other causes between 1610 B.C. to 2017 A.D. The events are classified based on magnitude and cause by the National Oceanic and Atmospheric Administration (NOAA).
The tabular data below, compiled by NOAA’s National Centers for Environmental Information (NCEI) under the UNESCO/IOC-NOAA partnership, provides a glossery of tsunami events over the last 2000 years. Tsunamis that have a travel time of 1-3 hours are classified as regional tsunamis and major ones over the last 2000 years are shown below.
The destruction caused by a tsunami can range to much larger extents. The tsunami that cause damage in regions beyond three hour of travel are classified as distant/teletsunami.
Tsunamis can be caused due to a variety of events. While majority of them are caused due to earthquakes, they also result due to volcanic eruptions, landslides and other events. These are shown below and it is evident that most of these events are also in neighbourhood of the Pacific ocean.


This idea is not new and Vanat is inspired by composer and node's npm.
Suppose:See the Basic usage chapter for more details on declaring dependencies.
To install, use ninja install, then execute with valet
To verify that Vanat has been properly installed, type in the terminal:
If the output is correctly installed, the output should be:
vanat version 0.1.0
To install, use ninja install, then execute with valet
To verify that Vanat has been properly installed, type in the terminal:
If the output is correctly installed, the output should be:
vanat version 0.1.0
vanat.json
file. This file will have the dependency
settings for your project. It can be considered as a search list for Vanat; It will only download the
packages (dependencies) for your project that are mentioned in this file.
Below is a basic skeleton of vanat.json
, the file in which the
dependencies will be described, then the same will be clarified.
The name
is the name of your application. This marking is
optional but recommended.
The description
is a brief description of what your application
proposes to do. Also optional.
The require
is basically the key of everything and the only
obligatory markup. In it you make clear what are the dependencies of your application. In this case if
the vala version is below 0.36
then an error message will be
thrown when installing the dependencies informing you that it is not possible to proceed because not
all requirements are satisfied.
As you can see above this is the skeleton of a very basic application, with no advanced settings and no indication of any third party library.
VPackagist
where any developer can create their own packages and make
them available to the community similar to github. VPackagist
can
provide you with several packages.
vanat.json
file simply add just below the line that defines that the
vala needs the desired package name and version. In this case the package is vala-development-kit/vdk
and the version is 0.1.*
. With this the new structure of vanat.json
is:
Vanat works with a package repository, VPackagist
(the official
destination for packages created for Vanat). This is where you find the name and version of the
packages you can use in your project. Then it is assumed that the vala-development-kit/vdk
package is registered in VPackagist
.
vanat.json
is) run the vanat install
command. This command will make the vanat
read the settings set in the json file and install all the libraries/packages needed for your
application and also these same libraries that have dependencies will have the same ones solved. Think
of vanat more or less like Linux debian apt-get. In it, when installing any package, all its
dependencies are resolved automatically.
Note that in the folder where your application is now there is the vendor
folder, a vanat file (which was already there) and a vanat.lock
file - which is the file that was automatically generated after the installation was successful.
vanat.json
file, simply notify the vanat of your
choice so that it can add it to your project. To do this, type the following command on the terminal:
vendor
name and the project's name. Often these will be identical - the
vendor name just exists to prevent naming clashes. For example, it would allow two different people to
create a library named json. One might be named igorw/json
while the
other might be seldaek/json
.
VPackagist
is the
default Vanat package repository. It lets you find packages and lets Vanat know where to get the code
from.
You can find the https://github.com/vpackagist
source on GitHub.
Found a bug or did you have any idea how to improve vanat? We'd love to hear about it! Please report all issues about the issues in our github.


Cargo ship and tanker collided in Jeju Strait
by Mikhail VoytenkoGeneral cargo ship TENG SHENG collided with Chinese 3,000-ton tanker at around 2000 Seoul time Nov 4 in Jeju Strait, Korea, some 4 nm SE of Soan-do island. According to Korean officials, it was more a contact than collision, both ships sustaining minor damages, and resuming their voyages after Maritime Police inspection. TENG SHENG is en route from China to Busan, Chinese tanker wasn’t identified.
General cargo ship TENG SHENG, IMO 9019999, dwt 3670, built 1991, flag Belize, manager YANTAI PINGYANG SHIPPING CO.


Item 6.
Move to the index item called "battery" and press enter. The following commands can be used to read when in the User Guide index. Practice reading about the battery.
To start auto-advance, press space with dots1 2 4 5 6.
To start continuous speech, press space with g.
To return to the index, press backspace.
Space with e will exit the User Guide.
To move by subsection, press space with dots4 5 6 or space with dots1 2 3.
Space with dot1 and space with dot4 will move by sentence.
To move by paragraph, use space with dots5 6 and space with dots2 3.


[gecode-users] Gecode/XCode 4.4+
Luca Di Gaspero
l.digaspero at uniud.it
Tue Sep 25 17:51:08 CEST 2012
Hi all,
I am trying to use the binary gecode framework for Mac OS X with the most recent version of Xcode (both 4.4 and 4.5), but the source code I've written failed to compile (it does not find the proper headers within the gecode.framework bundle). Are the developers aware of this issue (and possibly do they have a way to fix it)?
All the best,
Luca Di Gaspero
More information about the users
mailing list


| Methods Summary | ||
|---|---|---|
public
|
#
isMeasurementRegistered( string $measurement )
Determine if a measurement type is registered to the unit registry or not.
|
|
public
|
#
isUnitRegistered( string $symbol )
Determine if a specific unit of measure is registered to the unit registry or not.
|
|
public
|
||
public
|
||
public
|
||
public
|
#
registerMeasurement( string $measurement )
Register a single measurement to the unit registry by passing a
string as the argument
NOTE |
|
public
|
#
registerMeasurements( array $measurements )
Register many measurements to the unit registry by passing an
array of measurement strings as the argument
|
|
public
|
#
registerUnit( UnitConverter\Unit\UnitInterface $unit )
Register a single unit to the unit registry by passing an
instance of a UnitInterface as it's argument
|
|
public
|
#
registerUnits( array $units )
Register many units to the unit registry by passing an array of unit
classes as it's argument.
|
|
public
|
#
unregisterMeasurement( string $symbol )
Unegister a single measurement from the unit registry.
NOTE |
|
public
|
||
public
|
||
public
|


Before Change
print("Finding all sgf files in {} with year >= {} and komi = {}".format(
base_dir, min_year, komi))
count = 0
for dirpath, dirnames, filenames in tqdm(os.walk(base_dir)):
for filename in filenames:
count += 1
if count % 5000 == 0:
After Change
return sgf_files
f = filter_year_komi(min_year, komi)
filtered_sgf_files = [sgf for sgf in tqdm(sgf_files) if f(sgf)]
print("{} of {} .sgf files matched (min_year >= {}, komi = {})".format(
len(filtered_sgf_files), len(sgf_files), min_year, komi))
return filtered_sgf_files