Hotelling T2
To detect outliers across the multidimensional space of PCA, the hotellings T2 test is implemented. It works by computing the chi-square tests across the top n_components: default is PC1 to PC5. The reason for not using more PC’s is that it is expected that the highest variance (and thus the outliers) will be seen in the first few components. Going deeper into PC space may therefore not be required. Nevertheless, the depth is optional.
The hotellings T2 test outputs a P-value matrix (samples x PCs), which are are subsequently combined using fishers method. This allows to determine outliers with its ranking (strongest to weak). The alpha parameter determines the detection of outliers (default: 0.05).
# Import libraries
from pca import pca
import pandas as pd
import numpy as np
# Create dataset with 100 samples
X = np.array(np.random.normal(0, 1, 500)).reshape(100, 5)
# Create 5 outliers
outliers = np.array(np.random.uniform(5, 10, 25)).reshape(5, 5)
# Combine data
X = np.vstack((X, outliers))
# Initialize model. Alpha is the threshold for the hotellings T2 test to determine outliers in the data.
model = pca(alpha=0.05, detect_outliers=['ht2', 'spe'])
# Fit transform
results = model.fit_transform(X)
# [pca] >Column labels are auto-completed.
# [pca] >Row labels are auto-completed.
# [pca] >The PCA reduction is performed to capture [95.0%] explained variance using the [5] columns of the input data.
# [pca] >Fitting using PCA..
# [pca] >Computing loadings and PCs..
# [pca] >Computing explained variance..
# [pca] >Number of components is [4] that covers the [95.00%] explained variance.
# [pca] >The PCA reduction is performed on the [5] columns of the input dataframe.
# [pca] >Fitting using PCA..
# [pca] >Computing loadings and PCs..
# [pca] >Outlier detection using Hotelling T2 test with alpha=[0.05] and n_components=[4]
# [pca] >Outlier detection using SPE/DmodX with n_std=[2]
The information regarding the outliers are stored in the dict ‘outliers’ (see below). The outliers computed using hotelling T2 test are the columns y_proba, y_score and y_bool. The outliers computed using SPE/DmodX are the columns y_bool_spe, y_score_spe, where y_score_spe is the euclidean distance of the center to the samples. The rows belong the same rows on the input samples.
print(results['outliers'])
# or
print(model.results['outliers'])
# y_proba y_score y_bool y_bool_spe y_score_spe
# 1.0 9.799576e-01 3.060765 False False 0.993407
# 1.0 8.198524e-01 5.945125 False False 2.331705
# 1.0 9.793117e-01 3.086609 False False 0.128518
# 1.0 9.743937e-01 3.268052 False False 0.794845
# 1.0 8.333778e-01 5.780220 False False 1.523642
# .. ... ... ... ... ...
# 1.0 6.793085e-11 69.039523 True True 14.672828
# 1.0 2.610920e-291 1384.158189 True True 16.566568
# 1.0 6.866703e-11 69.015237 True True 14.936442
# 1.0 1.765139e-292 1389.577522 True True 17.183093
# 1.0 1.351102e-291 1385.483398 True True 17.319038
SPE/Dmodx
Outlier can be detected using SPE/DmodX (distance to model) based on the mean and covariance of the first 2 dimensions of X. On the model plane (SPE ≈ 0). Note that the SPE or Hotelling’s T2 are complementary to each other.
model.biplot(legend=True, SPE=True, HT2=True)
model.biplot3d(legend=True, SPE=True, HT2=True)
# Create only the scatter plots
model.scatter(legend=True, SPE=True, HT2=True)
model.scatter3d(legend=True, SPE=True, HT2=True)
Selection of the Outliers
Selecting the outliers can be usefull to remove them from the dataset or for deeper investigation.
# Select the outliers
Xoutliers = X[results['outliers']['y_bool'],:]
# Select the other set
Xnormal = X[~results['outliers']['y_bool'],:]
Detect new unseen outliers
After fitting a model on the data, you may want to use the model in a later stage to detect outliers on unseen data. Detection of outliers is performed in the transform function and does not require any additional action. An example is shown in the code block below.
# Import libraries
from pca import pca
import pandas as pd
import numpy as np
# Create dataset with 100 samples
X = np.array(np.random.normal(0, 1, 500)).reshape(100, 5)
# Initialize model. Alpha is the threshold for the hotellings T2 test to determine outliers in the data.
model = pca(alpha=0.05, detect_outliers=['ht2', 'spe'])
# Fit transform
model.fit_transform(X)
# Create 5 outliers
X_unseen = np.array(np.random.uniform(5, 10, 25)).reshape(5, 5)
# Transform new "unseen" data into existing PC space.
PCnew = model.transform(X_unseen)
# Plot image
model.biplot(SPE=True, HT2=True)
The transform
function will add the new samples to the readily fitted space and update the outlier parameters (default is True). If for example outliers are seen over and over again, they may not be an outlier anymore at a certain point. If you do not want to keep all outliers as being an outlier, set the update outlier parameter to False update_outlier_params=False
. In case you do not want to add any samples. Let me demonstrate this by example:
from pca import pca
import pandas as pd
import numpy as np
# Create dataset with 100 samples
X = np.array(np.random.normal(0, 1, 500)).reshape(100, 5)
# Initialize model. Alpha is the threshold for the hotellings T2 test to determine outliers in the data.
model = pca(alpha=0.05, detect_outliers=['ht2', 'spe'])
# model = pca(alpha=0.05, detect_outliers=None)
# Fit transform
model.fit_transform(X)
for i in range(0, 10):
# Create 5 outliers
X_unseen = np.array(np.random.uniform(5, 10, 25)).reshape(5, 5)
# Transform new "unseen" data into existing PC space.
PCnew = model.transform(X_unseen, row_labels=np.repeat('mapped_' + str(i), X_unseen.shape[0]), update_outlier_params=True)
# Scatterplot
model.scatter(SPE=True, HT2=True)
# Biplot
# Model.biplot(SPE=True, HT2=True)
In each iteration, the elips is growing towards the outliers. If you look carefully at the number of outliers, you may notice that the number of outliers is not increasing but even decreasing at a certain point.
Detection of outliers without PCA
If desired, the outliers can also be detected directly using the hotelling T2 and/or SPE/DmodX functionality. For demonstration purposes I use the PCs from the results but any other dataset would also work.
import pca
outliers_hot = pca.hotellingsT2(results['PC'].values, alpha=0.05)
outliers_spe = pca.spe_dmodx(results['PC'].values, n_std=2)


IN LOVE AND WAR A film review by Steve Rhodes Copyright 1997 Steve Rhodes
RATING (0 TO ****): **
Can a film be saved by its music? This is the question that I was pondering during the press screening for the plodding adaptation of the non-fiction book "Hemingway in Love and War: The Lost Diary of Agnes Von Kurowsky." Directed by the great Richard Attenborough (GANDHI, CRY FREEDOM and SHADOWLANDS), the film is called IN LOVE AND WAR and stars heartthrobs Sandra Bullock as nurse Agnes von Kurowsky and Chris O'Donnell as Ernest Hemingway, who was one of her wartime lovers.
The music by four-time Academy Award nominee George Fenton (THE FISHER KING, DANGEROUS LIAISONS, CRY FREEDOM, and GANDHI) is on a grand scale.  In interior scenes we are treated to intimate violin serenades. Every scene is filled with intense musical emotion. Ah, but then there are those actors. Maybe they should have heard the score during the shooting.
Perhaps the most charitable thing that can be said of the two leads is that they were miscast. Certainly the performances they deliver are so insubstantial that they almost vanish upon closer examination. The love story between them is convincing in spurts, but, for the most part, the chemistry does not work. Even less effective, and never believable is Agnes's romance with the Italian Doctor Domenico Caracciolo (Emilio Bonucci).
The story is set in Italy in 1918. The American Red Cross has come to help with the Italian wounded as Italy is overrun by the Austrian army. Since Hemingway is too young and has a bad eye, he is rejected by our military. He signs on to help the Red Cross and, of course, asks for duty near the front and for a rifle. He gets the former but not the latter. Within hours he is wounded, and he spends most of the movie convalescing in the hospital. It is there that he meets Agnes. Much is made of their age difference, he being 19 and she being all of 26, but they look about the same age in the movie so that is one of many aspects of the picture that were never believable. The show talks a lot about age differences, but the actions ignore them.
"You know what I've been told?" remarks Agnes in one of the first scenes. "Italian men respect their wives. They spoil their mistresses. But the only women they love are their mothers." This is a prelude to the time when the "old" Italian doctor will make a play for her. "It won't work," Hemingway argues. "Take a look. He's ancient. He must be close to 40."
The cinematography by Roger Pratt is handsome and warm, but the picture is content to be little more than pleasant. It is never involving. Since I did not care about the characters, I resented some of the manipulative parts of the story. For example, as they play poker in the hospital, the sickest of them, Jimmy McBride (Ian Kelly), gets a bad hand, but taking no cards declares, "I always play the hand I'm dealt." Agnes and Ernest then rig it so that Jimmy wins.
The love story between Agnes and Ernest is more hinted at than shown. The two best scenes in the movie are when she slaps him and when he fondles her ankle because these are some of the few occasions when the actors come out of their shells. I like love affairs that are believable and not ethereal. They do not have to be at all explicit to be great, see, for example, THE AGE OF INNOCENCE, but they must have enough emotional involvement to be convincing.
The script is by Allan Scott, Clancy Sigal, Hamilton Phelan, and Henry S. Villard and is based on the story by Allan Scott and Dimitri Villard, which in turn is based on the book by Henry S. Villard and James Nagel. Any time you get this many people involved it is a recipe for disaster. Perhaps this is the reason the story skims the surface and never invites you to go deeper. Next to the miscasting of the leads, the script is the second biggest problem with the film.
Then there are the endings. There are at least four natural ending points, in each of which the story would then pick back us and show what happens next in their lives. For a while I thought the film was never going to end and that it was a special test version to see how long a dozen film critics would sit there in a dark room watching ending after ending before they gave up and left. We all stayed through the four, but a couple more and I might have been tempted to leave.
At least toward the end, we do have a cheery note. Ernest's friend Henry Villard (MacKenzie Astin) tells us that, "Older people start aging backwards at some point." I'll keep an eye on my watch waiting for that blessed event.
"I love you," says Agnes to Ernest. "I'll love you as long as I live." I wanted and expected to feel that way about this film, but I could not. To answer the question I asked in the beginning, perhaps some films can be saved by the music, but not this one.
IN LOVE AND WAR runs 1:55.  I do not remember any profanity, but there probably was a little. The film would be fine for kids say ten and up. It is a close call, but I find the film too mediocre to recommend. I give it **.
**** = A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show. Don't waste your money. 0 = Totally and painfully unbearable picture.
REVIEW WRITTEN ON: January 20, 1997
Opinions expressed are mine and not meant to reflect my employer's.
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


- check(String, String) - Method in class com.rivieracode.lib.vault.PBKDF2Hasher
-
Validates a password versus a previously generated hash sequence.
- check(String, String) - Method in class com.rivieracode.lib.vault.SHA512Hasher
-
Checks a password versus a previous hash.
- com.rivieracode.lib.vault - package com.rivieracode.lib.vault
-
The API provides a set of out of the box implementations to common encryption usages,
relaying only on JRE libraries (requires Java 8+).
- com.rivieracode.lib.vault.algo - package com.rivieracode.lib.vault.algo
-
- concatChunks(List<byte[]>) - Static method in class com.rivieracode.lib.vault.algo.Util
-
Concatenates chunks of bytes.
- concatChunks(byte[]...) - Static method in class com.rivieracode.lib.vault.algo.Util
-
Concatenates chunks of bytes.
- createSignature(byte[], PrivateKey) - Static method in class com.rivieracode.lib.vault.algo.Util
-
Calculates the signature with an SHA1 hash function signed by the RSA private key.


---
layout: post
title: Bikes Get Support From U.S Dept. of Transportation
date: '2010-03-18T07:58:26-07:00'
tags:
tumblr_url: http://alexhwilliams.tumblr.com/post/456742057/bikes-get-support-from-u-s-dept-of-transportation
---
Bikes Get Support From U.S Dept. of Transportation
The U.S. Department of Transportation will now pursue the full inclusion of pedestrians and bicyclists in transportation projects. In a blog post, DOT Secretary Ray Lahood said, “This is the end of favoring motorized transportation at the expense of non-motorized.” According to the National Complete Streets Coalition:


Chefs Kitchen
7/11/15
I believe the DBC expierence is going to be a very new to me which is exciting and scary at the same time. At first I was a little nervous about what was required to become a DBC student. But after watching the way they teach communicate as a whole has really eased my nerves. The way they have created a system for all levels of expierence to work together is very reassuring. My impression is that its going to be a very fast pace, but friendly learning enviorment. DBC encourages to learn from mistakes while other programs, I feel do the complete opposite. Im very excited to jump into this enviorment because I feel it will full benefit me although I am a bit nervous. I think after I get my first full day on site I will be ready to roll.


Columbine
The state flower of Colorado
Columbine is one of my very favorite wildflowers.
Columbine is so intricate and delicate. It has a very light fragrence. The two sets of petals—each with unique color and shape—make this flower stand out.
After living in the mountains of Crested Butte, Colorado for 10 years, wildflowers became very special to me. Winters at an elevation of 8,800 feet can be harsh—and long. Hitting the trails when summer arrived always proved delightful. The more it snowed over the winter, the more spectactular the displays of colorful wildflowers. It never ceases to amaze me how nature thrives and survives through extremes of temperature, moisture, and other weather elements.
This web page highlights some of my favorite wildflowers that I enjoyed during various hiking, biking, and camping adventures. Even though I no longer get to enjoy the mountains on a daily basis, Colorado wildflowers bring me right back to that happy place.
Columbine is one of my very favorite wildflowers.
Columbine is so intricate and delicate. It has a very light fragrence. The two sets of petals—each with unique color and shape—make this flower stand out.
I set out on a quest to find it. It took me over a year, but I finally found a field full of Elephant Heads about 20 minutes from my home. These flowers like moist areas, and I found them near a high alpine lake, called Lily Lake.
Scarlet Gilia is another delicate-looking flower in a bright, bold color of red.
It is often found in huge numbers in fields mixed in with a variety of purple, white, and yellow flowers that create a breathtaking display of color.
The wild iris is a hearty, purplish-blue flower that is usually found in clusters.
Some parts of Colorado consider this flower a noxious weed. But that it is alittle misleading. It is primarily in ranching areas because wild iris are not palatable to cattle. Therefore, sometimes it is the only flower that remains after cattle have been left to graze.
Monument plants grow in meadows over 8,500 feet and bear about 600 flowers. The one pictured here came up to my nose!
Sadly, this plant will soon die, as it only has the opportunity to flower once in its lifetime.
This photo was taken during a particularly spectacular wildflower season. Yellow flowers as far as the eye could see! Simply breathtaking.
The cutey-patootey playing amongst the flowers is my son. Mule's Ears also make for excellent photo opportunities.
Now that's livin'! Lupine can be found covering the mountainsides during the month of July.
Tis flower takes a close second behind Columbine as my all-time favorite flower.
The legend of the Indian Paintbrush tells how this flower got its name. It does indeed look like a paint brush and inspires you to pick it up and paint the surrounding beauty where these flowers are typically found.
This photo was taken during a backpack trip with my dog, Cocoa. She's a great outdoor companion.


Are you intrested in Knowing the week of your Birthday.Luckly you are in the right place.
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--- layout: post title: Nokia Firewall, VPN, and IPSO Configuration Guide Now Available date: 2008-11-21 20:17:00.000000000 -08:00 type: post published: true status: publish categories: [] tags: - Check Point - ipso - nokia meta: _publicize_pending: '1' author: login: phoneboy email<EMAIL_ADDRESS>display_name: Dameon Welch first_name: '' last_name: '' ---
Andrew Hay and Warren Verbanec, two of my former co-workers, along with Peter Giannoulis and Keli Hay have come together to make the Nokia Firewall, VPN, and IPSO Configuration Guide. These folks have put together a comprehensive tome covering all of Nokia's network security solutions, though the primary focus is on Nokia IPSO and Check Point VPN-1. I also played a small role in this book by writing the foreward for it, as well as helping both Andrew and Warren with various things over the years.
Of course, since the time this book was finished, but before it was printed and bound, and available on amazom.com and other places, Nokia announced it was selling off the Security Appliance business. Even if the boxes have a different name on them, which must happen eventually as result of new ownership, they'll still be the same high-quality systems you've come to know and love from Nokia.


All of the options that build on existing C++ Standard Library containers incur a certain amount of overhead. When performance demands are critical, or the container requirements very specific, there may be no choice but to implement a container from scratch.
When building from scratch, there are three sets of design requirements that you must meet:
container interface requirements
allocator interface requirements
iterator requirements.
We'll talk about each of these in the next sections.
The C++ Standard Library defines general interface requirements for containers, and specific requirements for specialized containers. When you create a container, the first part of your task is making sure that the basic interface requirements for a container are met. In addition, if your container will be a sequence or an associative container, you need to provide all additional pieces specified for those categories. For anything but the simplest container, this is definitely not a task for the faint of heart.
It's very important to meet the requirements so that users of the container will know exactly what capabilities to expect without having to read the code directly. Review the sections on individual containers for information about the container requirements.
A user-defined container makes use of the allocator interface for all storage management. An exception to this is a container that exists in a completely self-contained environment where there is no need for substitute allocators.
The basic interface of an allocator class consists of a set of typedefs, a pair of allocation functions, allocate() and deallocate(), and a pair of construction/destruction members, construct() and destroy(). The typedefs are used by a container to determine the look of pointers, references, sizes, and differences, where a difference means a distance between two pointers. The functions are used to do the actual management of data storage.
To use the allocator interface, a container must meet the following three requirements:
A container needs to have a set of typedefs that look like the following:
typedef Allocator allocator_type; typedef typename Allocator::size_type size_type; typedef typename Allocator::difference_type difference_type; typedef typename Allocator::reference reference; typedef typename Allocator::const_reference const_reference; typedef implementation_defined iterator; typedef implementation_defined iterator;
A container also needs to have an Allocator member that contains a copy of the allocator argument provided by the constructors:
protected:
Allocator the_allocator;
A container needs to use that Allocator member for all storage management. For instance, our set container might have a naive implementation that simply allocates a large buffer and then constructs values on that buffer. Note that this not a very efficient mechanism, but it serves as a simple example. We're also going to avoid the issue of Allocator::allocate() throwing an exception, in the interest of brevity.
An abbreviated version of the set class appears below. The class interface shows the required typedefs and the Allocator member for this class:
#include <memory> namespace my_namespace { template <class T, class Allocator = std::allocator<T> > class set { public: // typedefs and allocator member as above typedef Allocator allocator_type; typedef typename Allocator::size_type size_type; typedef typename Allocator::difference_type difference_type; typedef typename Allocator::reference reference; typedef typename Allocator::const_reference const_reference; // Our iterator will be a simple pointer typedef Allocator::pointer iterator; typedef Allocator::const_pointer iterator; protected: Allocator the_allocator; // copy of the allocator private: size_type buffer_size; iterator buffer_start; iterator current_end; iterator end_of_buffer; public: // A constructor that initializes the set using a range // from some other container or array template <class Iterator> set(Iterator start, Iterator finish, Allocator alloc = Allocator()); iterator begin() { return buffer_start; } iterator end() { return current_end; } };
Given this class interface, here's a definition of a possible constructor that uses the allocator. The numbered comments following this code briefly describe the allocator's role. For a more thorough treatment of allocators, see Chapter 15 and the Apache C++ Standard Library Reference Guide entry for allocators.
template <class T, class Allocator> template <class Iterator> set<T,Allocator>::set(Iterator start, Iterator finish, Allocator alloc) : buffer_size(finish-start + DEFAULT_CUSHION), buffer_start(0), current_end(0), end_of_buffer(0) { // Copy the argument to our internal object the_allocator = alloc; // 1 // Create an initial buffer buffer_start = the_allocator.allocate(buffer_size); // 2 end_of_buffer = buffer_start + buffer_size; // Construct new values from iterator range on the buffer for (current_end = buffer_start; start != finish; current_end++, start++) the_allocator.construct(current_end,*start); // 3 // Now let's remove duplicates using a standard algorithm std::unique(begin(),end()); } } // End of my_namespace
| //1 | The allocator parameter is copied into a protected member of the container. This private copy can then be used for all subsequent storage management. |
| //2 | An initial buffer is allocated using the allocator's allocate function. |
| //3 | The contents of the buffer are initialized using the values from the iterator range supplied to the constructor by the start and finish parameters. The construct function constructs an object at a particular location. In this case the location is at an index in the container's buffer. |
Every container must define an iterator type. Iterators allow algorithms to iterate over the container's contents. Although iterators can range from simple to very complex, it is not the complexity but the iterator category that most affects an algorithm. The iterator category describes capabilities of the iterator, such as which direction it can traverse. Section 16.4 and the iterator entries in the Apache C++ Standard Library Reference Guide provide additional information about iterator categories.
The example in Section 16.3.2 shows the implementation of a container that uses a simple pointer. A simple pointer is actually an example of the most powerful type of iterator: the random access iterator. If an iterator supports random access, we can add to or subtract from it as easily as we can increment it.
Some iterators have much less capability. For example, consider an iterator attached to a singly-linked list. Since each node in the list has links leading forward only, a naive iterator can advance through the container in only one direction. An iterator with this limitation falls into the category of forward iterator.
Certain member functions such as begin() and end() produce iterators for a container. A container's description should always describe the category of iterator that its member functions produce. That way, a user of the container can see immediately which algorithms can operate successfully on the container.


Examples
Introduction:
To finish off our explanation of using GitFlow with GitHub, here are some examples of different builds of
software.
Questions:
In the following examples, can you say:
- what the version number change means?
- if the change breaks backwards-compatibility or not?
- which branch or branches the build may have come from?
- which kinds of environments the build can be installed into?
Here are the example version numbers:
- foobar-1.0.0-SNAPSHOT20120512
- foobar-1.0.0-SNAPSHOT20120512
- foobar-1.0.0 -> foobar-1.0.1
- foobar-1.0.1 -> foobar-1.0.2-rc1
- foobar-1.0.2 -> foobar-1.1.0-rc1
- foobar-1.2.0 -> foobar-2.0.0
Answers:
foobar-1.0.0-SNAPSHOT20120512:
- This is a development snapshot
- It might break backwards compatibility
- It will have been built from a feature branch, or from the develop branch
- It can be installed on dev boxes and integration environments.
foobar-1.0.0 -> foobar-1.0.1:
- This is a bugfix release
- It does not break backwards compatibility
- It will have been built from the master branch
- It can be installed everywhere
foobar-1.0.1 -> foobar-1.0.2-rc1:
- This is a bugfix release candidate
- It does not break backwards compatibility
- It will have been built from the hotfix branch called hotfix/1.0.1
- It can be installed everywhere except production
foobar-1.0.2 -> foobar-1.1.0-rc1:
- This is a release candidate for a minor release
- It does not break backwards compatibility
- It will contain new features
- It may also contain bugfixes
- It will have been built from the release branch called release/1.1.0
- It can be installed everywhere except production
foobar-1.2.0 -> foobar-2.0.0:
- This is a major new release
- It may break backwards compatibility
- It will have been built from the master branch
- It can be installed everywhere


2D/3D
Click the mouse or hit space to start
Waiting for partner to start
Use mousewheel or arrow keys to move
Best score ever: {{bestScoreDescription}}
Playing with {{game.model.hisName}}
QUIT
{{game.model.hisName}} disconnected
BACK
No remote players available
ONLINE:
INVITE:
{{k}}
{{k}}
Score: {{game.model.score}} Hi Score: {{game.model.hiScore}}


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4–6
Parboil the potatoes in lightly salted water for 6–10 minutes, until almost cooked but still firm. Cut them into slices. Preheat your grill to medium–high.
Using a large ovenproof non-stick frying pan, fry the bacon in its own fat, stirring, for 4–5 minutes, or until cooked. Transfer to a plate and set aside.
Heat the oil in the same pan. Add the garlic and peppers and fry for 4–5 minutes, or until just cooked.
Add the potatoes to the pan, stir gently, then fry for 2–3 minutes, until lightly browned. Return the bacon to the pan and stir gently again.
Crack the eggs into a jug and lightly beat using a fork. Stir in the parsley and season well. Pour over the potato-and-bacon mixture, then sprinkle the cheese on top. Cook for 5 minutes.
Transfer to the grill and cook for 5 minutes, or until cooked through. Serve in slices, with salad if you like.


Creates a new MySQL
Connection Pool.
Describes the global
database settings
.Queue
size.
A bucket of queued connections.
Describes the global
database settings
.Config
object (used for all pool
servers).
Describes the collection of DBPool servers
in settings
.Pool
.
A MySQL connection pool
Whether or not the Connection
is being kept alive
Initiates the Database pool
.
Sends a ping
to the database
, expecting a response.
Will continually ping
the db
at an interval specified in the configs
.
Aquires a database
connection from the pool
.
The database Connection
Fills the Queue
with new Connections
.
Adds a new Connection
to the queue
.
true
, if successful.
Aquires a database
connection from the queue
.
An asynchronus object of { error, rows }
Closes the database
connection.
Sends out database
logs.
On success
; message is displayed as-is. On error
it's used as a sprintf
-style template for err.message
.
An error
object; if applicable.
Creates a new
MySQL
Connection Pool.


You can use this simple application to observe Koch curves.
The application supports up to 7 iterations.
To support more iterations, caching and asynchronous operations must be included.
Click on the canvas to draw a convex shape.
When the shape is drawn, you can no longer manipulate it.
If you would like to draw another shape, clear it.
If you do not want to lose the shape, save it before clearing.
Set the number of iterations after the shape is drawn.
Click on the apply rule button.
At any time you can change background and curve color by clicking on the color icon.
You can load your favorite saved shapes from your device.


Declension for tense:
| SINGULAR | PLURAL | |
|---|---|---|
| 3rd | ||
| 2nd | ||
| 1st |
|
Types: Regular Verbs Irregular Verbs Tenses: Present Imperative Optative Future |
Declension for tense:
| SINGULAR | PLURAL | |
|---|---|---|
| 3rd | ||
| 2nd | ||
| 1st |
|
Types: Regular Verbs Irregular Verbs Tenses: Present Imperative Optative Future |


This guide shows you how to set custom DNS entries for CentOS 7 / RedHat 7 and ensure that the settings are persistent even after a reboot.
In CentOS and Red Hat Enterprise Linux (RHEL) 7, any custom DNS entries are stored in the file /etc/resolv.conf
. However, if we simply go ahead and add our nameservers to this file, we’ll notice that after a reboot or a restart of the network.service, the file is overwritten by NetworkManager.
In this guide, we will first configure NetworkManager to not overwrite this file. Then, we will go ahead and actually add our custom nameservers to /etc/resolv.conf
.
The NetworkManager configuration is located here: /etc/NetworkManager/NetworkManager.conf
Open this file using vim
or your favorite text editor.
Search for the [main]
section in this file. It should look something like this:
...
[main]
#plugins=ifcfg-rh,ibft
...
Add dns=none
just after the [main]
tag like this:
...
[main]
dns=none
#plugins=ifcfg-rh,ibft
...
Go ahead and save the file.
Let’s restart the NetworkManager.service
service so that it picks up the changes we made to the configuration.
sudo systemctl restart NetworkManager.service
Note that the service name NetworkManager.service
is case-sensitive.
Now, let’s add our nameservers to /etc/resolv.conf
Open this file in you favorite text editor and specify the name servers as follows:
# Generated by NetworkManager
nameserver <IP_ADDRESS>
nameserver <IP_ADDRESS>
That’s it! You’re done. The nameservers added to /etc/resolv.conf
will now persist even after a reboot. NetworkManager will not longer overwrite this file.
Photo by Steve Johnson on Unsplash


WITNESS LIST Urban Affairs Committee February 21, 2001-2:00P HB 693 For: Alfaro, Mayor Pete C. (City of Baytown) Registering, but not testifying: For: Emal, Matthew (City of Houston) Igo, Shanna (Texas Municipal League) Mercer, Monte (City of Baytown) HB 782 For: Palmer, Tom (City of Mesquite) Schwab, Carlton (Texas Economic Development Council) On: Sessions, Congressman Pete (Self) Registering, but not testifying: For: Clayton, Bill (City of Mesquite) Igo, Shanna (Texas Municipal League)


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enum class ErrorDomains
Different error domains
REVENUECAT_BACKEND
The error is related to the RevenueCat backend
PLAY_BILLING
The error is related to Play Billing


| Home | Libraries | People | FAQ | More |
RangeRunStorage
A RangeRunStorage is a non-continuous Sequence where the non-zeros are represented by a property map of Runs.
runs
boost::result_of<boost::range_run_storage::op::runs(boost::add_reference<S>::type)>::type
Returns the runs property map for accessing the run associated with a position in the storage.
zero_type
boost::result_of<boost::range_run_storage::op::zero(boost::add_reference<S>::type)>::type
The type of the zeros of the storage. Must be convertible to value_type.
run_type
ReadablePropertyMap<runs, cursor>::value_type
The type of the runs in the runs property map.
offset_type
Run<run_type>::offset_type
The offset type of the run.
length_type
Run<run_type>::length_type
The length type of the run.
| Name | Expression | Type | Semantics |
|---|---|---|---|
Runs |
boost::range_run_storage::runs(s) |
runs |
Returns the ReadablePropertyMap for accessing the runs of the RangeRunStorage s. |
Zero |
boost::range_run_storage::zero(s) |
zero_type |
Returns the zero value of the RangeRunStorage s. |
Zero Convertibility |
boost::range_run_storage::zero(s) |
Convertible to value_type |
The zero_type is convertible to the value_type. |
GetAt |
boost::range_run_storage::get_at(s, o) |
Convertible to value_type |
Get the value at the given offset. Note: the complexity is not guaranteed to be O(1). |
| Copyright © 2006 Eric Niebler |


I'm a software engineer currently working at the Stanford University Libraries. Discovery, access, and preservation of all the things. I'm fortunate enough to be able to work on open source software projects. Some of these include GeoBlacklight, Blacklight, Leaflet-IIIF, and more.


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| open |
/~ashipunova/illumina_submission/step_upload_subm_metadata.php |
|
| click |
css=input.hide_project |
|
| select |
id=form_domain |
label=Archaea (A) |
| type |
id=project_form_project_title |
AS_AS_Av6 test_project |
| type |
id=project_form_project_name1 |
AS |
| type |
id=project_form_project_name2 |
AS |
| type |
id=project_form_funding |
0000 |
| select |
id=form_env_source_name |
label=water-marine |
| select |
id=form_project_form_contact |
label=Shipunova, Anna<EMAIL_ADDRESS>Marine Biological Laboratory |
| type |
id=project_form_project_description |
AS_AS_Av6 test project description |
| clickAndWait |
id=project_form_add |
|


Summary
You were a seller with
{{color}} tickets
.
You chose to sell {{quantity}} and keep {{keep}}
.
The ticket{{plural}} sold for a price of
{{price}}
francs per-ticket in the auction.


| 1 | a pipe |
|---|---|
| 2 | a wheel |
| 3 | a pump(handle) |
| 4 | a spring / coil |
| 5 | (storage) tank |
| 6 | a grill / grille / filter |
| A | 5 (storage) tank |
|---|---|
| B | 4 a spring / coil |
| C | 1 a pump(handle) |
| D | 3 a pump(handle) |
| E | 6 a grill / grille / filter |
| F | 2 a wheel |
| 1 | Two |
|---|
| 1 | D |
|---|---|
| 2 | E |
| 3 | B |
| 4 | C |
| A | measure temperature |
|---|---|
| B | calculate |
| C | weight |
| D | measure / calculate speed |
| 1 | place |
|---|---|
| 2 | cut |
| 3 | wrap |
| 4 | stick |
| 5 | fold |
| 6 | stick |
| 7 | tie |
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