Text classification algorithms have gained high importance among variety of software systems that process text data at scale. Text classification can be categorized as:
Topic classification is categorizing a text document into one of a predefined set of topics. In many topic classification problems, this categorization is based primarily on keywords in the text. SPAM filter, Inappropriate comment detection in discussion forums are two examples of topic classification.
Sentiment analysis (SA) has become a very active research area in natural language processing (NLP) and has attracted increasing interest in data mining, Web mining, and text mining.The goal is to identify the polarity of text content: the type of opinion it expresses. This can take the form of a binary like/dislike rating, or a more granular set of options, such as a star rating from 1 to 5. One example of sentiment analysis include analyzing Twitter posts to analyze hate speech/offensive language in tweets. Sentiment analysis includes several tasks such as opinion extraction,polarity determination, affect analysis, review mining, etc.
Here is the worlflow to solve machine learning problem
Gathering data is the most important step in solving any supervised machine learning problem. Our text classifier can only be as good as the dataset it is built from.
We are tackling a specific problem, we used the positive/negative(Neutral/Hate or offensive language) polarity of the Twitter Tweets dataset. The dataset contains tweets posted by people on Twitter, it is labeled as 0-Hate Speech, 1-Offensive language and 2-Neither.
Understanding the characteristics of our data beforehand enables us:
The key to managing such an exploration is to be organized. Keeping records about the exploration, recording thoughts and ideas along the way, and organizing findings are all important. This is a complex undertaking, though possibly very rewarding.
First up, let’s load the dataset into Python.
After loading the data, it’s good practice to run some checks on it: so pick a few samples and manually check if they are consistent with our expectations. For example, print a few random samples to see if the tweet label corresponds to the tweet.
Once we have verified the data, we collected the following important metrics that can help characterize our text classification problem:
The following table shows the summary of metrics.
| Metric Name | Metric Value |
|---|---|
| Number of samples | 23780 |
| Number of classes | 3 |
| Number of samples per class | 1 - 19190 | 2 - 4163 | 0 - 1430 |
| Number of words | 348721 |
At this point, we have assembled our dataset and gained insights into the key characteristics of our data. Next, based on the metrics we gathered in Step 2, we should think about which classification model we should use. This means/ asking questions such as, “How do we present the text data to an algorithm that expects numeric input?” (this is called data preprocessing and vectorization), “What type of model should we use?”, “What configuration parameters should we use for our model?”, etc.
Given that the best options might not be obvious, a naive solution would be to try every possible option exhaustively, pruning some choices through intuition. However, that would be tremendously expensive.
Our goal is to find the algorithm that achieves close to maximum accuracy while minimizing computation time required for training. We will try to implement diefferent data processing techniques alternating and different model architectures. This will help us identify dataset parameters that influence optimal choices.
Below is the summary of our model selection algorithm
For this particular data set, our text cleaning step includes : HTML decoding, remove stop words, change text to lower case, remove punctuation, remove bad characters, and so on.
During the data exploration we found two major issues:
To overcome multiple class issue we transformed the classes to Binary classes.Combining Hate Speech and Offensive language as 0 and Neither as 1 . Below table shows the binary classification data distribution.
| Class | Tweets |
| 0- Hate Speech | 1430 |
| 1- Offensive Language | 19190 |
| 2-Offensive Language | 4163 |
We transformed the classes into binary classes and recorded the results as follows:
| Class | Tweets |
| 0 - (Hate Speech + Offensive language) | 20620 |
| 1- Neither | 4163 |
Before our data can be fed to a model, it needs to be transformed to a format the model can understand. First, the data samples that we have gathered may be in a specific order. We do not want any information associated with the ordering of samples to influence the relationship between texts and labels. For example, if a dataset is sorted by class and is then split into training/validation sets, these sets will not be representative of the overall distribution of data. A simple best practice to ensure the model is not affected by data order is to always shuffle the data before doing anything else.
Before training, and even vectorizing, let's split our data into training and testing sets. It's important to do this before doing anything with the data so we have a fresh test set.
Second, machine learning algorithms take numbers as inputs. This means that we will need to convert the texts into numerical vectors. There are three steps to this process:
We call vectorization the general process of turning a collection of text documents into numerical feature vectors. This specific strategy (tokenization, counting and normalization) is called the Bag of Words or “Bag of n-grams” representation. Documents are described by word occurrences while completely ignoring the relative position information of the words in the document.
This representation is used in conjunction with models that don’t take ordering into account, such as logistic regression, multi-layer perceptrons, gradient boosting machines, support vector machines.
Word counts are a good starting point, but are very basic. One issue with simple counts is that some words like “the” will appear many times and their large counts will not be very meaningful in the encoded vectors. An alternative is to calculate word frequencies, and by far the most popular method is called TF-IDF. This is an acronym than stands for “Term Frequency – Inverse Document” Frequency which are the components of the resulting scores assigned to each word.
Term Frequency: This summarizes how often a given word appears within a document. Inverse Document Frequency: This downscales words that appear a lot across documents. Without going into the math, TF-IDF are word frequency scores that try to highlight words that are more interesting, e.g. frequent in a document but not across documents.
The TfidfVectorizer will tokenize documents, learn the vocabulary and inverse document frequency weightings, and allow you to encode new documents. Alternately, if you already have a learned CountVectorizer, you can use it with a TfidfTransformer to just calculate the inverse document frequencies and start encoding documents.The same create, fit, and transform process is used as with the CountVectorize
Word2vec is a two-layer neural net that processes text. Its input is a text corpus and its output is a set of vectors: feature vectors for words in that corpus. While Word2vec is not a deep neural network, it turns text into a numerical form that deep nets can understand.
| Representation | Results |
| BOW | array([[0, 0, 0, ..., 0, 0, 0], [0, 0, 0, ..., 0, 0, 0], [0, 0, 0, ..., 0, 0, 0], ..., [0, 0, 0, ..., 0, 0, 0], [0, 0, 0, ..., 0, 0, 0], [0, 0, 0, ..., 0, 0, 0]], dtype=int64) class scipy.sparse.csr.csr_matrix |
| Tf–idf term weighting | [ 8.81535838 8.1222112 10.20165274 ... 10.20165274 10.20165274 10.20165274] (1, 26961) [[0. 0. 0. ... 0. 0. 0.]] |
| Word2Vec | ..... |
By calculating if our model only chose to predict 0(hate and offensive language), the larger class, we would get a ~60% accuracy. This means that in our binary classification model, where random chance is 50%, a 60% accuracy wouldn't tell us much. We would definitely want to look at precision and recall more than accuracy. We can balance our data by using a form of oversampling called SMOTE. SMOTE looks at the minor class, neutrals in our case, and creates new, synthetic training examples.
After balancing the data our records: [(0,16516), (1,16516)]
Now our data is cleaned and processed for model input.
We tried different model building approaches:
Fig 1. Model training using Scilkit-Learn Pipe class
In deep learning text classification we followed this approach :
Several ensemble learning techniques are evaluated to generate computational models including: Bagging, Boosting, Voting and Random Forests. We followed these steps for training Ensemble models:
We trained different ensemble clssifiers with these parameters
| Name | Type | Parameters | |
|---|---|---|---|
| clf1 | Gaussian NB (GNB) | Single classifier | |
| clf2 | k-NN | Single classifier | k=5 |
| clf3 | Decision Tree | Single classifier | Gini index, min_sample_split= 2 |
| eclf1 | Random Forest | Ensemble Randomization | n_estimators= 20 |
| eclf2 | Bagging | Ensemble Bagging | Estimator= Decision Tree |
| eclf3 | Boosting | Ensemble Boosting | Estimator= Decision Tree |
| eclf4 | Voting | Ensemble Voting | Estimators= LSVC,RF,LR,NB |


I've had an odd happening occur to me recently, with what a non-smoker may think of as 'heavy' marijuana smoking, and I'd like to share my occurance from my personal view on what 'amotivational syndrome' might actually be.
I began smoking pot in grade 8, somewhat often, in grade 9 I did only rarely, and from the summer switch to grade 10 I started smoking again on account of I was very depressed and nothing seemed to be helping. I know for a fact that depression had nothing to do with my previous experiences with weed. I would smoke everyday but because of my low tolerance from barely smoking the year prior and what I smoked would amount to only about 2 grams a week. With putting myself in a great environment (primarily listening to Pink Floyd) and smoking just a few hits every night, I noted an extreme change in my personality after a couple of weeks, as did others.
When grade 10 took in I cooled down and smoked a couple of times weekly, not to 'escape' but to enhance my mind and perception of life, which all drugs are truly for. But then I started smoking increasingly before christmas, and before I knew it I was smoking grams daily (of what I'd think would be labeled very good canadian hydro). I wouldn't think of myself as an addict, but it's not healthy to smoke that much I don't think. Marijuana had lost it's title as a 'drug' and seemed to me as more of a habit.
I found that my thoughts had gotten more off topic of my own happy life, and I felt less influenced to do things. Here I must add that I've taken Dexedrine for Adhd since just before I went back to school, and that's been a help too. But even with that I was 'going downhill' in my own opinion. I wouldn't consider myself in the least bit 'unstable', but just plagued with strange thoughts of conspiracy, no motivation, and not just tiredness, which I have but it's not a problem, living life slowly is the best way to live it, but laziness. Before Christmas I was extremely motivated by music, by playing music, by my goal to be a musician or a poet, and by being who I am. After I became an everyday smoker it feels kinda like I lost who I am, I'm less motivated to do things, and being a musician seems too long term and unrealistic to accomplish.
Recently I've stopped smoking, completely, for a little while until I can get my head cleared and go back to enhancing my mind and carrying out long term goals for myself. Today it's been 8 days since I've smoked a joint, and I'm drinking a lot of water and eating healthy to flush myself of the THC in my system. So far I feel better, it's a bit hard to do but I know it's not worth it to quit now. I don't really know why I'm writing this, maybe just to share my point of view of something.
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.


Last Name
First Name
Address
City
State
Zip/Postal Code
Country
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Phone(country code, area code,number)
(+
)
Email
Birth date
Month
Day
Year(4digit)
Gender
Male
Female
Starting date
Spring 2006
Summer 2006
Comments/Questions


What Movie Will I Watch?
Write title of a movie or keywords separated by comma
Possible keywords include genres and full names of actors or directors
Select search type
Search for similar movies
Search by keywords
{% if result|length > 0 %} {% if result[0] == 'empty' %} {% if result|length > 1 and result[1] != 'keywords'%} We don't have the movie you typed in our database :(
Showing results for:
{{result[1]}}
{% for movie in result[2:] %}
{{ movie }}
{% endfor %} {% elif result|length > 1 and result[1] == 'keywords'%}
Looks like you search by keywords. Please change search type
{% else %}
We don't have the movie in our database
{% endif %} {% elif result[0] == 'no keywords' %}
No keywords typed
{% elif result[0] == 'no movie' %}
No movie typed
{% else %} {% for movie in result %}
{{ movie }}
{% endfor %} {% endif %} {% endif %}


Data Privacy has become a main concern for regular users of the internet. Your privacy is constantly being invaded by the sites you visit, Google, Facebook, the government, as well as your internet service provider (ISP) all track and sell data. This data is sold to third-party marketers and there then becomes a risk of security surrounding personal information. Zone 1 - Easiest things to be done in regard to online privacy Zone 2 - Partially more advanced than zone 1 in regard to online privacy
Zone 1


- m_EntityMap - Variable in class com.bham.bd.entity.EntityManager
-
Providing quick and Low time Complexity LOOPUP
Retrieving BaseGameEntity Object by ID NUMBER
- Main - Class in com.bham.bd.application
-
Main Application
- Main() - Constructor for class com.bham.bd.application.Main
-
- main(String[]) - Static method in class com.bham.bd.application.Main
-
Main function to launch the JavaFX application
- main(String[]) - Static method in class com.bham.bd.entity.ai.navigation.algorithms.TimeSlicedDijkstras
-
- MainMenu - Class in com.bham.bd.view.menu
-
Main Menu
- MainMenu() - Constructor for class com.bham.bd.view.menu.MainMenu
-
- mainPane - Variable in class com.bham.bd.view.MenuSession
-
Main layout containing all the menu session's elements
- mainStage - Variable in class com.bham.bd.view.GameSession
-
Main stage (window) on which the scenes are loaded
- mainStage - Variable in class com.bham.bd.view.MenuSession
-
Main stage (window) on which the scenes are loaded
- map1AStarParams() - Method in class com.bham.bd.entity.ai.navigation.AlgorithmTime
-
- map1DijkstraParams() - Method in class com.bham.bd.entity.ai.navigation.AlgorithmTime
-
- mapDivision - Variable in class com.bham.bd.components.Controller
-
- MapDivision<entity extends BaseGameEntity> - Class in com.bham.bd.entity.physics
-
the class for dividing the map
- MapDivision(double, double, int, int) - Constructor for class com.bham.bd.entity.physics.MapDivision
-
Constructor for MapDivision
- MapDivisionTest - Class in com.bham.bd.entity.physics
-
- MapDivisionTest() - Constructor for class com.bham.bd.entity.physics.MapDivisionTest
-
- mapDivTest() - Method in class com.bham.bd.entity.physics.MapDivisionTest
-
- mapHeight - Variable in class com.bham.bd.components.environment.MapLoader
-
Number of tiles the loaded map has in y axis
- mapHeight - Variable in class com.bham.bd.entity.physics.MapDivision
-
the height of the map
- MapLoader - Class in com.bham.bd.components.environment
-
Class which can load a map specifically created with a Tiled Map Editor
- MapLoader(String) - Constructor for class com.bham.bd.components.environment.MapLoader
-
Constructs Map Loader which loads a map from a JSON file
- MapLoaderTest - Class in com.bham.bd.components.environment
-
Tests for loading a map
- MapLoaderTest() - Constructor for class com.bham.bd.components.environment.MapLoaderTest
-
- MapType - Enum in com.bham.bd.components.environment
-
Represents a type of map that can be loaded by
MapLoader
- MapType(String) - Constructor for enum com.bham.bd.components.environment.MapType
-
Constructs an enum which defines the type of map
- mapType - Variable in class com.bham.bd.view.tools.GameFlowEvent
-
- mapWidth - Variable in class com.bham.bd.components.environment.MapLoader
-
Number of tiles the loaded map has in x axis
- mapWidth - Variable in class com.bham.bd.entity.physics.MapDivision
-
the width of the map
- mass - Variable in class com.bham.bd.entity.MovingEntity
-
entity's mass
- MAX_BOUND_HEIGHT - Static variable in class com.bham.bd.components.shooting.ExplosiveBullet
-
- MAX_BOUND_WIDTH - Static variable in class com.bham.bd.components.shooting.ExplosiveBullet
-
- MAX_DAMAGE - Static variable in class com.bham.bd.components.shooting.Bullet
-
Maximum damage any bullet can deal
- MAX_HOME_DAMAGE - Static variable in class com.bham.bd.components.SurvivalController
-
- MAX_HOME_HP - Static variable in class com.bham.bd.components.SurvivalController
-
- MAX_HP - Static variable in class com.bham.bd.components.characters.GameCharacter
-
Maximum health of any character
- MAX_SIZE - Static variable in class com.bham.bd.components.characters.GameCharacter
-
Maximum width and height of any character
- MAX_SPEED - Static variable in class com.bham.bd.components.characters.GameCharacter
-
Maximum speed of any character
- MAX_SPEED - Static variable in class com.bham.bd.components.shooting.Bullet
-
Maximum speed any bullet can have
- maxForce - Variable in class com.bham.bd.entity.MovingEntity
-
max force the entity can stand
- maxForceParams() - Method in class com.bham.bd.entity.physics.SteeringTest
-
- maxForceTest(Point2D, Point2D, double, double) - Method in class com.bham.bd.entity.physics.SteeringTest
-
- maxSpeed - Variable in class com.bham.bd.entity.MovingEntity
-
maximum speed value for the entity
- maxSpeedParams() - Method in class com.bham.bd.entity.physics.SteeringTest
-
- maxSpeedTest(Point2D, Point2D, double, double) - Method in class com.bham.bd.entity.physics.SteeringTest
-
- MAXSTATETIMEMOD - Variable in class com.bham.bd.entity.ai.director.Director
-
The maximum change in the length of each state
- maxValue - Variable in class com.bham.bd.entity.ai.behavior.IntCondition
-
maximum value of the threshold
- MenuBackground - Class in com.bham.bd.view.model
-
Background for the Main Menu
- MenuBackground() - Constructor for class com.bham.bd.view.model.MenuBackground
-
Constructs a Stack Pane node with an animated background and particles and initialize.
- MenuBackground.Particle - Class in com.bham.bd.view.model
-
Represents a particle used for background animation.
- MenuButton - Class in com.bham.bd.view.model
-
Menu Button
- MenuButton(String) - Constructor for class com.bham.bd.view.model.MenuButton
-
Constructs a custom animated menu button.
- menuScene - Variable in class com.bham.bd.view.GameSession
-
Scene to be showed on the window after gameplay
- menuScene - Variable in class com.bham.bd.view.MenuSession
-
Scene to be showed on the window before gameplay
- MenuSession - Class in com.bham.bd.view
-
Menu Session
- MenuSession() - Constructor for class com.bham.bd.view.MenuSession
-
Constructs the menu session
- MenuSlider - Class in com.bham.bd.view.model
-
Menu Slider
- MenuSlider(String, int) - Constructor for class com.bham.bd.view.model.MenuSlider
-
Constructs a slider with its name and initial value.
- MessageDispatcher - Class in com.bham.bd.utils.messaging
-
Message System to check and track the Game States
- MessageDispatcher() - Constructor for class com.bham.bd.utils.messaging.MessageDispatcher
-
- MessageDispatcher(MessageDispatcher) - Constructor for class com.bham.bd.utils.messaging.MessageDispatcher
-
Copy Constructor for MessageDispatcher and it should be private
- MessageTypes - Enum in com.bham.bd.utils.messaging
-
enum for Message Types
- MessageTypes(int) - Constructor for enum com.bham.bd.utils.messaging.MessageTypes
-
Constructor of MessageTypes
- MIN_HEIGHT - Variable in class com.bham.bd.view.model.CustomStage
-
- MIN_RATE - Variable in enum com.bham.bd.components.shooting.BulletType
-
The cool-down (in milliseconds) before the next bullet can be fired
- MIN_WIDTH - Variable in class com.bham.bd.view.model.CustomStage
-
- minesNum() - Method in class com.bham.bd.entity.graph.node.NavNode
-
subtract the number of obstacle of a node by 1
- MiniSplitter(double, double) - Constructor for class com.bham.bd.components.characters.agents.enemies.Splitter.MiniSplitter
-
Constructs a MiniSplitter enemy type
- minRate - Variable in enum com.bham.bd.components.shooting.LaserType
-
- minValue - Variable in class com.bham.bd.entity.ai.behavior.IntCondition
-
minimum value of the threshold
- move() - Method in class com.bham.bd.components.characters.agents.Agent
-
- move() - Method in class com.bham.bd.components.characters.agents.enemies.EnemyTestDemo
-
- move(double) - Method in class com.bham.bd.components.characters.GameCharacter
-
Overloads basic move() method with extra speed multiplier parameter
- move() - Method in class com.bham.bd.components.characters.Player
-
- move() - Method in class com.bham.bd.components.shooting.DefaultBullet
-
- move() - Method in class com.bham.bd.components.shooting.ExplosiveBullet
-
- move() - Method in class com.bham.bd.components.shooting.IceBullet
-
The movement of the bullet.
- move() - Method in class com.bham.bd.components.shooting.LaserGun
-
- move() - Method in class com.bham.bd.components.shooting.ThunderLaser
-
- move() - Method in class com.bham.bd.entity.MovingEntity
-
Defines how the position of the entity is updated on each frame
- moveX - Variable in class com.bham.bd.components.triggers.effects.Dissolve.Particle
-
- moveY - Variable in class com.bham.bd.components.triggers.effects.Dissolve.Particle
-
- MovingEntity - Class in com.bham.bd.entity
-
Represents any entity that can move at any angle
- MovingEntity(double, double, double) - Constructor for class com.bham.bd.entity.MovingEntity
-
Constructs a single moving entity by default facing up (angle is set to 0), giving it a
mass of 1 and generates a new valid ID for it
- MovingEntity(double, double, double, Point2D) - Constructor for class com.bham.bd.entity.MovingEntity
-
Alternate constructor allowing to initialize a custom facing direction with a non-zero velocity
- Msg - Variable in class com.bham.bd.utils.messaging.Telegram
-
messages can be dispatched immediately or delayed for a specified amount
of time.
- MsgToStr(MessageTypes) - Static method in enum com.bham.bd.utils.messaging.MessageTypes
-
- MsgToStr(int) - Static method in enum com.bham.bd.utils.messaging.MessageTypes
-
Return different messages used for Dispatching decided by msg.id
- musicVolume - Variable in class com.bham.bd.audio.AudioManager
-
Loudness of any music track
- myP - Variable in class com.bham.bd.components.Controller
-
- MyPairs(Integer, Double) - Constructor for class com.bham.bd.entity.ai.navigation.algorithms.TimeSlicedDijkstras.MyPairs
-


Shows how the global variables that are available in the Sling HTL Engine are handled in Storybook AEM.
${"\u0024{properties.text\u007d" @ context = "text"}
console
. only useful in use classes.
{}
The following global variables are all mapped to a dummy object that return a debug message.
componentContext
,
currentDesign
,
currentNode
,
currentPage
,
currentSession
,
currentStyle
,
designer
,
editContext
,
inheritedPageProperties
,
out
,
pageManager
,
pageProperties
,
reader
,
request
,
resolver
,
resource
,
resourceDesign
,
resourcePage
,
response
,
sling
,
slyWcmHelper
,
xssAPI
,
${"\u0024{currentNode.path\u007d" @ context = "text"}


By Jackie Chan, Danny Diep, Rica Feng, Nancy Gao, Jeffrey Hsieh, Anjin Huang, John Li, Stephanie Ma, Quynh Nguyen, Logan Pribyl, Tyler Sampson, Rotem Werner, David Zhang
Creation and Conquest
Contact<EMAIL_ADDRESS>Added on: 2016
Tags: 2D, mini games, completed
This is a two player game where you can select two classes to make a unique class! Utilize combinations of these classes to have an edge in the mini games you will play! Controls: Player 1: WASD Player 2: IJKL. Keys will have a different purpose per game. Instructions: Select two classes and those will make your character. Your second class is your model. Once you both select a character, you can select a game to play! Your stats will influence how you play in each game.


Activation of pp90rsk and early growth response-1 gene expression by pokeweed mitogen in human B cells.
Abstract
The present studies have examined the effects of pokeweed mitogen (PWM) on the induction of early growth response-1 gene (EGR-1) in normal human B cells. PWM regulates EGR-1 gene expression by both transcriptional and post-transcriptional mechanisms. Transient transfection assays with EGR-1 promoter fragments linked to the chloramphenicol acetyltransferase (CAT) gene demonstrated that PWM induced EGR-1 transcription is conferred by the CArG motif (C C[ AT] 6GG) in the EGR-1 promoter. The results further demonstrated the activation of S6 kinase (pp90rsk), evidenced by phosphorylation of S6 and serum response factor (SRF) peptides, in PWM treated B cells. Taken together, these findings suggest that PWM is able to initiate an intracytoplasmic signalling cascade and EGR-1 induction in normal human B cells.


HOME
ABOUT
SCHEDULE
OUR PROJECTS
CONTACT
NEWS
FAQ
ABOUT
We're a student-governed club for Morristown High that runs on our passion for engineering! It's never too late to join!


cb-highlight
is made to provide a highlight to features in your app.
Examples
Opening to right
Click on bubble to view
Header of highlight
This is an example of content inside highlight
Opening to left
Click on bubble to view
Header of highlight
This is an example of content inside highlight


WELCOME TO THE JAVASCRIPT CODE QUIZ!
You have 75 seconds to answer questions testing your knowledge of JavaScript fundamentals.
Incorrect answers have a 10 second penalty!
Will you get the high score?


---
title: "Places"
date: 2020-02-07
lesson: 65
---
{% set html %}
Explore cool, quirky places in your own backyard.
Loading...
{% endset %}
{% set js %}
{% endset %}
{{ html | safe }}
{% highlight "html" %} {{ html | safe }} {{ js | safe }} {% endhighlight %}
{{ js | safe }}


About Us
(AAPE) African Agricultural Professionals in Europe is a growing network affiliated with the Association of African Agricultural Professionals in the Diaspora (AAAPD).
Read More(AAPE) African Agricultural Professionals in Europe is a growing network affiliated with the Association of African Agricultural Professionals in the Diaspora (AAAPD).
Read MoreGreat networks are built through activities that encourage participants to showcase their talents and expertise which in turn can give rise to ingenius solutions which eventually lead to a better quality of life for all involved. Our activities include seminars, talks, fundraisers amongst others.
Read MoreThe Blog is a space designated for our extensive literature materials and they can be accessed through clicking the button below.
Read MoreAfrican Agricultural Professionals in Europe
Telephone Number: Area Code | Number
Fax: Area Code | Number
Email: info@someone.com


Welcome to the Kenzie K Essentials experience.We are a small luxurious Beauty Brand base out of Atlanta, Ga in 2017 Founded by Amanda Ransom.We Help Real women put an extra edge in their everyday look. Our Mission is to bring the best quality of ingenious products at an affordable price.
Our core values consist of:
- Quality, by bringing the best materials together to provide a premium product
- Cruelty Free, causing no harm to any animals in the making of this product
- Diversity, listening to the wants and needs of everyone to create products for our consumers
We are so excited to provide you with the perfect lash for your everyday looks.


Mysterious Wizard:
If I were Nidrah and Nidrah is... I don't want to say that name.
We're both Mages of the dark arts, that's enough. Did I tell you about the red dress?
Anyway, it doesn't matter whether or not I'm him.
"What about the double contract?"


The quotes from the the link's rel above should not be removed.
The comment before the div should not be removed.
The whitespace in these bullet points should not be collapsed.


JavaScript is disabled or ECMAScript 6 is not supported in your web browser.Please update your web browser or use the latest version of any web browser.


|
My Vensim
0.1
My Vensim
|
Class to define a flow in the model. More...
#include <flow.h>
Public Member Functions | |
| Flow (string name="") | |
| virtual | ~Flow () |
| Flow & | operator= (const Flow &) |
| Flow (Flow &) | |
| double | getValue () const |
| void | setValue (double value) |
| virtual double | Execute ()=0 |
| void | Conect (System *s1, System *s2) |
| System * | getSystemIn () |
| System * | getSystemOut () |
| string | getName () const |
| void | setName (const string &value) |
Protected Attributes | |
| double | value |
| System * | in |
| System * | out |
| string | name |
Class to define a flow in the model.
Class to define a system in the model.
| Flow::Flow | ( | string | name = "" | ) |
Flow class Constructor
|
virtual |
Flow class destructor
Method for connect two systems
| s1 | pointer for input system |
| s2 | pointer for output system |
|
pure virtual |
| string Flow::getName | ( | ) | const |
Method for get flow name
| System * Flow::getSystemIn | ( | ) |
Method for get input system
| System * Flow::getSystemOut | ( | ) |
Method for get output system
| double Flow::getValue | ( | ) | const |
Method to get flow value
Flow class Attribution operator
| void Flow::setName | ( | const string & | value | ) |
Method to set flow name
| value | for flow name |
| void Flow::setValue | ( | double | value | ) |
Method to set flow value
| value | for New flow value |
|
protected |
Pointer for input flow system
|
protected |
Flow name
|
protected |
Pointer for output flow system
|
protected |
Current flow value


Our Pricing
Annually
Monthly
Basic
$19.99
500 GB Storage
2 Users Allowed
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Challenge by
Frontend Mentor
. Coded by
Your Name Here
.


A Watchdog implementation for C# that favors camelCase coding style.
More...
Inherits CodeWatchdog.Watchdog.
A Watchdog implementation for C# that favors camelCase coding style.
| void CodeWatchdog.CamelCaseCSharpWatchdog.CheckComment |
( |
string |
comment, |
|
|
string |
precedingInput |
|
) |
| |
|
inlineprivate |
Check a single comment.
- Parameters
-
| comment | A string containing a comment, possibly multi-line. |
| void CodeWatchdog.CamelCaseCSharpWatchdog.CheckStartBlock |
( |
string |
startBlock | ) |
|
|
inlineprivate |
Checks the beginning of a block.
- Parameters
-
| startBlock | A string containing the start block. |
| void CodeWatchdog.CamelCaseCSharpWatchdog.CheckStatement |
( |
string |
statement | ) |
|
|
inlineprivate |
Check a single statement.
- Parameters
-
| statement | A string containing a statement, possibly multi-line. |
| override void CodeWatchdog.CamelCaseCSharpWatchdog.Init |
( |
| ) |
|
|
inlinevirtual |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.CamelCaseError = 2 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.ClassNotDocumentedError = 8 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.CommentNoSpaceError = 7 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.CommentOnSameLineError = 6 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.InterfaceNamingError = 10 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.MethodNotDocumentedError = 9 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.MissingBracesError = 4 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.MultipleStatementError = 5 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.PascalCaseError = 1 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.SpecialCharacterError = 3 |
|
private |
| const int CodeWatchdog.CamelCaseCSharpWatchdog.TabError = 0 |
|
private |
The documentation for this class was generated from the following file:


--- layout: post title: 'Jimmy Nilsson: Developing Core Business Applications with Domain-Driven Design (DDD) and Microsoft .NET' date: 2014-02-02 16:45:04.000000000 -07:00 type: post published: true status: publish categories: - ".NET" - Featured - Video tags: [] meta: _intro_custom_banner: a:1:{s:3:"url";s:0:"";} _intro_text: default _dependencies: s:6:"a:0:{}"; U_S_C_message: '' _custom_background: a:5:{s:3:"url";s:0:"";s:16:"background-color";s:0:"";s:17:"background-repeat";s:6:"repeat";s:21:"background-attachment";s:6:"scroll";s:19:"background-position";s:8:"left top";} _edit_last: '3110' author: login: Vlad email<EMAIL_ADDRESS>display_name: Vlad first_name: Vladimir last_name: Gitlevich ---
From MSDN Channel 9
Jimmy Nielsen
Domain-driven design (DDD) has proven to be an invaluable tool when developing applications in high complexity domains. In this presentation we look at DDD in general and discuss some of the main concepts such as ubiquitous language, different architecture approaches, and strategic patterns such as bounded context. We then take a closer look in particular at how to apply some of the tactical patterns of DDD with .NET. The next step then is for you to give it a try!


Hello, welcome to my project webpage!
Wind generated power output
This web app provides prediction of a power output generated by a wind turbine based on the wind speed. The backbone of the prediction are machine learning models developed for this purpose on the experimental data.
Although the theory suggests that power output is proportional to the third power of wind speed, in practice such a characteristic can be observed only in certain wind range. The relationship between the wind speed and the power output is more complex. It is described by so called power curve. The wind turbin activates on a certain treshold wind speed - cut-in speed. Below that speed the turbin operation is not economically viable. The maximum power output is achieved at the rated wind speed - turbin specific. In the zone between the cut-in and rated speeds, the power increases exponencially with the wind speed. Behind the rated speed, the produced output remains approximately flat (or may decline gently), until it reaches the cut-off speed. At such speed, the turbine is shut down in order to prevent them from taking damege.
Enter wind speed in range 1-25 and apply one of the ML models below to predict the percentage of the rated power output.


What is happening in club this month? Click here for more information
For those with little to no experience of Archery and those with experience


#include "ros/ros.h"
#include "geometry_msgs/PoseStamped.h"
#include "geometry_msgs/Quaternion.h"
#include "angles/angles.h"
#include "mutex"
#include "std_msgs/String.h"
#include "tf/transform_listener.h"
#include "tf/transform_datatypes.h"
#include <actionlib/client/simple_action_client.h>
#include <kinova_msgs/PoseVelocity.h>
Go to the source code of this file.
Functions | |
| int | main (int argc, char **argv) |
| void | poseGrabber (geometry_msgs::PoseStamped pose) |
| void | statusGrabber (std_msgs::String::ConstPtr status) |
Variables | |
| geometry_msgs::PoseStamped | current_pose |
| std::mutex | lock_pose |
| std::mutex | lock_status |
| geometry_msgs::PoseStamped | pose_in_base |
| geometry_msgs::PoseStamped | pose_in_end_effector |
| std::string | result |
| geometry_msgs::PoseStamped | start_pose |
| int main | ( | int | argc, |
| char ** | argv | ||
| ) |
Definition at line 42 of file position_drive.cpp.
| void poseGrabber | ( | geometry_msgs::PoseStamped | pose | ) |
Definition at line 22 of file position_drive.cpp.
| void statusGrabber | ( | std_msgs::String::ConstPtr | status | ) |
Definition at line 34 of file position_drive.cpp.
| geometry_msgs::PoseStamped current_pose |
See README.md for more info.
Definition at line 17 of file position_drive.cpp.
| std::mutex lock_pose |
Definition at line 19 of file position_drive.cpp.
| std::mutex lock_status |
Definition at line 20 of file position_drive.cpp.
| geometry_msgs::PoseStamped pose_in_base |
Definition at line 17 of file position_drive.cpp.
| geometry_msgs::PoseStamped pose_in_end_effector |
Definition at line 17 of file position_drive.cpp.
| std::string result |
Definition at line 18 of file position_drive.cpp.
| geometry_msgs::PoseStamped start_pose |
Definition at line 17 of file position_drive.cpp.


Welcome
{{ username }}
Create new intent for {{ botName }}
Click to check your existing intents
Mobile number
Email
Free Text
Number
List
Required
Add parameter
API trigger
JSON
Headers
GET
POST
PUT
DELETE
{}
{}
Extracted parameters and api call response can be accessed from speech respone using "parameters" and "result" objects respectively
Save


Channel modeling interface for simulation.
| Type Params | Return Type | Name and description |
|---|---|---|
|
void |
addArrival(Reception rx) Adds a signal arrival at a modem in the channel. |
|
void |
addTx(Transmission tx) Adds a modem transmission in the channel. |
|
boolean |
canNeglect(Reception rx) Checks if a signal arrival is too weak to care about. |
|
void |
cancelArrival(Reception rx) Cancels a scheduled/ongoing signal arrival at the modem in the channel. |
|
void |
cancelTx(Transmission tx) Cancels a scheduled/ongoing modem transmission in the channel. |
|
float |
decodeRx(Reception rx) Checks if the reception can be decoded by the modem. |
|
boolean |
detectRx(Reception rx) Checks if the reception can be detected by the modem. |
|
float |
getCarrierFrequency() Gets the carrier frequency (kHz) in the channel. |
|
double |
getNoisePower() Computes total noise power. |
|
double |
getRxPower(Reception rx) Computes received signal power in a reception. |
|
float |
getSoundSpeed() Gets the mean sound speed in the channel. |
|
void |
setTimestampProvider(TimestampProvider platform) Sets the time provider used to get current time. |
Adds a signal arrival at a modem in the channel.
rx
- reception details.Adds a modem transmission in the channel.
tx
- transmission details.Checks if a signal arrival is too weak to care about.
rx
- reception details.Cancels a scheduled/ongoing signal arrival at the modem in the channel. This happens when the transmitter aborts the relevant transmission.
rx
- reception details.Cancels a scheduled/ongoing modem transmission in the channel.
tx
- transmission details.Checks if the reception can be decoded by the modem. This method is called when a modem stops receiving a frame.
rx
- reception details.Checks if the reception can be detected by the modem. This method is called when a modem is about to start receiving a frame.
rx
- reception details.Gets the carrier frequency (kHz) in the channel.
Computes total noise power.
Computes received signal power in a reception.
rx
- received frameGets the mean sound speed in the channel.
Sets the time provider used to get current time.
platform
- time provider.


EVERYONE SAYS I LOVE YOU A film review by Wendy E. Betts Copyright 1997 Wendy E. Betts
Parodies of Busby Berkely's famous geometric musical numbers have become so common in film that some people may think of them as defining the classic musical number, but in "Everyone Says I Love You," Woody Allen reminds us of how much more there was to the movie musical. Lovingly making use of virtually every standard except the overhead shot of geometric patterns, Allen has created a movie that isn't just a parody of, or even tribute to, the classic movie musical; it's a genuine rediscovery of the form. Watching it, I finally realized what, for me, is the test of a real musical: it made me wish I could be in the movie.
The somewhat rambling story concerns the romantic vicissitudes of a wealthy, liberal New York family, as enthusiastically and confidingly narrated by one of the daughters. I don't feel like dwelling on the plot, which has its ups and downs: some of the scenes are charming, some very funny, and some--particularly during Allen's chemistry-free romance with Julia Roberts--are tiresome, but not too painfully so. But the plot--as so often in musicals--is really secondary to the musical numbers.
>From the very beginning of the film, in which a lovestruck young man sings to his girlfriend and people on the street join in, I knew I was going to like this movie. I can pinpoint the exact time I was sure: when a long-haired panhandler, holding out a cup for change, starting to sing along; it was perfect, not just because it was funny, but because it was so exactly what Busby Berkely himself would have done, if he were alive today. Such touches are evident throughout the film, not as cheap parody but as bridges to an earlier mode of film-making.
But if this film merely replicated modes of the past, it would just have had me longing to see the originals, just as the film "Brain Donors" only made me wish I was watching the real Marx Brothers. There is much more to it than that. The songs, almost all sung by the actors themselves, have a shy, unsophisticated quality that doesn't exactly emulate most old musicals (although who _really_ thought Ruby Keeler could sing or dance?) but which captures some of the same _feeling_ as those films in which nobody was afraid to burst into song or dance at the drop of a hat. And the dancing--oh the dancing! I don't think I've ever consciously realized before how wonderful it feels to see people dance, how exciting and alive and freeing it is. Especially when they just seems to be dancing from sheer joy.
I think the strongest barrier to the making of musicals today is _embarrassment_. A lot of what went on in the genre seems silly by current standards, only fit as a subject for parody. "Everyone Says I Love You" works because it's not afraid to look silly. Some of the actors were obviously shy about singing, and mostly it works: I haven't liked Allen as much in years as I liked him timidly singing "I'm Through With Love." Dancing, on the other hand, really needs to be done with gusto and bravura and here it is; it's mostly ensemble work by professional, although one character gamely, if clumsily, joins in and succeeds through sheer chutzpah. The only dance that didn't really work for me--although my husband adored it--is an attempt at a half-Kelly, half-Astaire romantic number between Allen and Goldie Hawn; Allen was obviously too timid to pull it off well, and (perhaps in compensation) has Hawn magically floating and flying around like Peter Pan. It's both silly and rather beautiful, but I would have preferred seeing Allen just really throw himself into the dance, without relying on gimmicks.
"Everyone Says I Love You" has some flaws, especially in the non-musical parts--but then, that's almost a standard of the genre in itself. For the most part, it was a genuinely magical experience and I, for one, would be thrilled to see others join in the attempt to revive the movie musical--as long as they do it with as much love and understanding of the form as this film shows. -- Wendy E. Betts, Editor, "Notes from the Windowsill."
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


{% load i18n %}
{% blocktrans %}Skill successfully added! You can now add this skill to your bots.{% endblocktrans %}


| DOSE: |
17 mg |
insufflated |
2C-T-7 |
(powder / crystals) |
July 4th was truly a day of independence this year. We, three friends and I, decided our form of 'fireworks' this year was to be none other than our crystal compadre, 2C-T7. We chose to partake in the late afternoon so that our set and setting would be appropriate for an evening of visual enjoyment. We started our experiment in a beautiful house full of intricate artwork,all with psychedelic overtones. Our doses were all weighed to individual preferences and lined out on glass. We all took our turn ingesting the lines via the nostril.
My dose of 17mg burned like hell on the hottest day of summer. Within minutes, three to five, the pain changed to a throb, then a pulse and finally to a surge of energy waves starting at the point of entry. Instant visuals, as soon as the pain subsided.  Information, instantly accessed. Seven minutes after consumption we were all on our way to individual purging stations. My lady and I ended up in the bathroom, falling over each other to puke our essences as near the toilet as possible. No naseau occured for any in the group, but three out of four puked.
It was like the body was being wrenched through dimensional barriers at light speed. The purge was the result. We couldn't differentiate the vomit from the visuals by ten minutes in. Whoa! Magic awaited I was sure. Laying on my friend, on the floor, trying to flush the toilet, I looked out of the window. Outside was the most beautiful scene. A peacock stood in a circle of stone, feathers spread wide, projecting its energy into my direction. Behind the bird walked a deer who immediatly recognized me when I recognized him. As he looked at me, he began to change, morphing through time. He was aging thousands of years in seconds before my eyes, until a great ancient deer relative, walked before my eyes, feasting on the tops of trees. As I watched the morphing of evolution was full of information. I understood muscle structure, body movements, and those curious motions that often make us think that animals are aware of something we aren't. They are. They are aware of the true resonance.
Just as I was absorbing this scene, another friend came in and said we were all to go outside. Laughing, I knew this was timed just right. Running through the house, a race against the purging urging me on, I was consumed with desire to be outside. Once there, I ran across the deck and vomited over the side. Below me, awaiting a feast was a large group of peacocks. As I puked they fed. Not on the food that came from my stomache, but the ooze from my head. They felt the energy in the house growing and knew we were coming to give them a gift. As they fed, I realized they were recieving my consciousness. They were accessing altered states via me. As I realized this, the group of birds began to let their DNA flow. All around the now birds, were the eternal birds, flowing in brillant blue patterns of life tide. I was amazed.
The rest of the group was not witnessing this blue neo-pagan ritual I was directly participating in. They were mostly lost in the vastness of this realm we had attained. Not me. I was home. It was perfect that they were in their own states though. It fit into the age-old timelessness of the shamanic rituals. Not all experiences lead all involved to the necromancers zone, the philosophers stone. But I was there. All of the world was an information system waiting to be tapped. Above the peacock feast, I realized that all of life was feasting. The cycle of evolution as a timeless energy field was before my eyes. The most amazing creatures were all around us, morphing as I shifted through eyes that had been here before. My now self became aware of my eternal self. The me recycling through history. All of nature rejoiced and vibrated at a higher level, aware that another was conscious of the true resonance. Layers of information began to flow into my field of awareness.
Let me describe as best I can. First there was the psychedelia, all of it. LSD, mushrooms, salvia, mdma, marijuana, and many I had never known were all there and I was aware of their roles in the whole. Then there was the best realistic computer animation-like morphing of evolution all around me, As real as any animal I ever met, just more magical. Then there was imagery, in my minds eye. There were diagrams and symbols, wheels and webs, all at once, yet understood. There were layers and layers of info and I could keep up, not even straining. I shifted personas and settings but was always lucid as the now me. How strange.
I watched one other member of the group time travel as well, letting his soul roam the realm. The others weren't letting themselves go though. They were stuck in personal loops. Timeless loops, that became the platform for my experience. I can't convey all of the magic in words. Someday maybe.
I don't recommend insufflation for this material as it burned my nose for weeks! Maybe finding a good oral dose and then bumping 5 mg would be good without body load. More experiments needed. I also brought back some weird body symptoms that I couldn't separate from the experience. My skin had super hyper sensitive spots with no marks or redness that persisted for weeks, moving and grooving all over my body. This was like a metamorphisis to me. My skin shifting to a higher vibration. Wierd.
Yet to do T7 again. Plus 4 experiences don't need to be constantly accessed to be remembered and useful. Have fun, be safe. Heroic doses are certainly a path, one to be revered, cautioned, explored and reported, but most of all, lived. See you all in the realm. Be you all in the realm.
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.


A Joker Sequel Is Now Likely With Duo Set To Team Up Again
by Maurice BrosnanFresh from a hugely successful Box Office performance, Joker is already moving towards a sequel with several key personnel set to be involved.
The film recently passed the $1bn mark at the global box office. Now, Todd Phillips and Joaquin Phoenix are reportedly keen to team up again and deliver another instalment of the DC story.
Per the Hollywood Reporter, Phillips and the Warner Bros. Pictures Group are now in the final-stage discussion about the project. It comes as a surprise given Phillips had maintained at the time of release he was determined to not direct a Joker sequel.
The same report also states that Phillips will be involved in a film about a different DC character. That will also be an origin story.
The news comes after in an interview with the LA Times last week, Phillips suggested he has changed his mind.
It would have to have some thematic resonance in a similar way that this does. Because I think that’s ultimately why the movie connected, it’s what’s going on underneath. So many movies are about the spark, and this is about the powder. If you could capture that again in a real way, that would be interesting.
The timeline of such a film will prove interesting given Matt Reeves is already working on his Batman with Robert Pattinson.


---
layout: post
title: Vlaams Belang
date: '2017-10-07T15:04:00+02:00'
categories:
- Caricature
picture_url: https://film-Storyboards.tumblr.com/post/166153409806/vlaams-belang-thi
---
An old caricature from 2004 illustrating the VB’s name change after a trial condemned the party for racism. The drawing is loosely inspired by the late Willy Vandersteen of Suske en Wiske fame.
The three politicians pictured here are Filip Dewinter, Frank Vanhecke and Gerolf Annemans.


Nekodrop
Server network run with ❤ by
Catlinman
For real time tracking of servers please enable Javascript


If you need something you can’t find a Step for, you can always install & use tools with scripts or Script steps.
Just add a Script
step to your Workflow, and either write your script there, or run a script from your repository.
Passwordless sudo
is enabled on all of our build virtual machines, so you can freely use sudo
if you need it.
Once you have a working script, you can also transform it into a Step and optionally share it with others (through our StepLib). You can find a template and more information about how you can create your own Step at: https://github.com/bitrise-steplib/step-template
Step by step setup
- Open your app on Bitrise.io
- Open the app’s Workflow Editor (on the
Workflow
tab -> clickManage Workflows
) - Select a Workflow
- Click on the
+
sign (you can see this between every step), where you want to insert your Script step - In the step list search for “script”, and click the
Add to Workflow
button on the “Script” step item. - Now that you have the Script step in your workflow, you just have to select it and write your script into the
Script content
input (on the right side of the Workflow Editor).
Note: you can drag-and-drop reorder the steps in the Workflow, so you don’t have to delete and re-add a step if you’d want to change the order.
If you want to run a script from your repository you can run it from this Script step. Paths are relative to your repository’s root. So, for example, if you have a Bash script at path/to/script.sh
you can run it with this Script content
:
bash ./path/to/script.sh
Or, in a more robust form (which is better if you want to extend the content in the future):
#!/bin/bash
set -ex
bash ./path/to/script.sh
The set -ex
line is recommended for every multi-line Bash script, to make your scripts easier to debug.
You can of course run non Bash scripts too, e.g. a Ruby script:
#!/bin/bash
set -ex
ruby ./path/to/script.rb
Examples
At this point you already have the Script step in your Workflow, and you just have to write the script to install the dependency. How do you do that? Exactly the same way you would on your own Mac / Linux, in your Terminal / Command Line!
brew
on macOS
E.g. to install cmake
with a script step, on macOS, using brew
:
#!/bin/bash
set -ex
brew install cmake
Actually, the whole Script content could be as short as:
brew install cmake
Which is exactly how you would use brew
on your Mac, but you’ll most likely
add more content to the Script step sooner or later; the first
example is a more future proof Bash script template.
apt-get
on Linux
E.g. to install cmake
with a script step, on Linux, using apt-get
:
#!/bin/bash
set -ex
sudo apt-get install -y cmake
!!! note “Don’t forget the -y
flag for apt-get
!”
If you don’t add the -y
(“yes”) flag to the apt-get
command, apt-get
will
present a prompt which you have to accept or deny manually.
This is not a problem on your own Linux machine, but in a CI environment
you can’t provide manual input for apt-get
. To prevent this issue,
and to auto accept the prompt, just use the -y
flag, as shown in the example.
Advanced option: use deps
in bitrise.yml
Instead of installing your tool inside the Script step, you can use the deps
option
of the bitrise.yml
. If you declare deps
for a given Step,
the Bitrise CLI
will check if that tool is installed, and will install it for you if required.
!!! note “Available dependency managers” This method is the preferred way of handling (step) dependencies, as the Bitrise CLI will not (re)install the specified tool(s) if it’s already available. That said, there are tools which are not available in the supported dependency managers, or you need a version of the tool which is not available in the dependency manager. In those cases you should simply install the tool inside the Script, as described above.
An example, installing cmake
with either apt-get
(where apt-get
is available),
or with brew
(on macOS):
deps:
brew:
- name: cmake
apt_get:
- name: cmake
A minimal bitrise.yml
for demonstration:
format_version: 1.2.0
default_step_lib_source: https://github.com/bitrise-io/bitrise-steplib.git
workflows:
test:
steps:
- script:
deps:
brew:
- name: cmake
apt_get:
- name: cmake
inputs:
- content: |-
#!/bin/bash
set -ex
which cmake
An advanced tip: if you want to declare a dependency which might be available from
another source (not through the package manager), then you might also want to declare the
related binary name
. If that matches the package name (like in case of cmake
) this is
completely optional, but in case the package does not match the binary name you can
declare it with bin_name
. An example is AWS CLI, where the package name in both
package managers is awscli
, but the binary itself is aws
.
A minimal bitrise.yml
for demonstration:
format_version: 1.3.0
default_step_lib_source: https://github.com/bitrise-io/bitrise-steplib.git
workflows:
test:
steps:
- script:
deps:
brew:
- name: awscli
bin_name: aws
apt_get:
- name: awscli
bin_name: aws
inputs:
- content: |-
#!/bin/bash
set -ex
which aws
Conditional execution
Additionally, you can use Environment Variables in your scripts too.
As an example, using the PR
environment variable
(but you can use any Available Environment Variable,
like the ones exposed by previous steps in the Workflow),
to run different scripts in case of a Pull Request and a non Pull Request build:
#!/bin/bash
set -ex
if [[ "$PR" == "true" ]] ; then
echo "=> Pull Request mode/build!"
bash ./path/to/in-case-of-pull-request.sh
else
echo "=> Not Pull Request mode/build!"
bash ./path/to/not-pull-request.sh
fi
_Note: if you don’t want to run any part of the Step/script based on a variable (like $PR
),
you don’t have to implement the check in the script. You can use the run_if
expression in
the bitrise.yml
directly to declare in which case(s) the Step should run. Additionally,
run_if
can be added to any step, not just to Script steps.
You can find more information about run_if
expressions
in this guide._


TIFF CHANGE INFORMATION
This document describes the changes made to the software between the
previous and current versions (see above).
If you don't find something listed here, then it was not done in this
timeframe, or it was not considered important enough to be mentioned.
The following information is located here:
CHANGES IN THE SOFTWARE CONFIGURATION:
- It is now possible to setup the software to build only the
library; configure reconizes this is the intent when the
VERSION, tiff.alpha, and tif_version.c
files are in the local directory (i.e. ``.'')
- configure no longer tries to setup HTML materials
- include file directories needed in building the library are now
specified with a DIRS_LIBINC config parameter
- configure no longer checks for alternate compilers if CC
is set; if the specified compiler is not found or is not appropriate
the configuration procedure aborts
- the port.h file generated by configure is now used only by
the library and as such as have been moved to the libtiff
directory
- there is beginning support for building DSO's on systems other than IRIX
- configure now verifies the JPEG and zlib directory pathnames by
checking for well-known include files in these directories
- configure no longer creates the dist directory needed only
on SGI machines (for building SGI binary distributions)
- a bug was fixed whereby configure would incorrectly set
ENVOPTS when building the software with gcc under AIX
CHANGES IN LIBTIFF:
- two new typedefs were added to tiff.h: int8
and uint8 for signed and unsigned 8-bit quantities,
respectively; these are currently used only by
programs in the tools directory
- the BadFaxLines, CleanFaxData, and
ConsecutiveBadFaxLines
tags are now supported with
Group 4 compression
- byte order is now correctly identified on 64-bit machines
- a bug was fixed in the PackBits decoder where input data would
appear short when a no-op run was present
- a bug was fixed in calculations with very wide strips
- TIFFWriteEncodedStrip and TIFFWriteRawStrip
were extended to support dynamically growing the number of
strips in an image (must set ImageLength prior to
making calls though)
- TIFFDefaultTileSize now rounds tile width and height
up to a multiple of 16 pixels, as required by the TIFF 6.0 specification
- the file version.h is now built by a new mkversion
program; this was done for portability to non-UNIX systems
- support was added for the Acorn RISC OS (from Peter Greenham)
- the builtin codec table is now made const when compiling
under VMS so that libtiff can be built as a shared library
- support for the PowerPC Mac (from Ruedi Boesch)
- support for Window NT/Window 95 (from Scott Wagner)
CHANGES IN THE TOOLS:
- the tools no longer include port.h
- various portability fixes; mostly to eliminate implicit assumptions
about how long int32 data types are
- PostScript Level II additions to tiff2ps from Bjorn Brox
- sgi2tiff now handles RGBA images
CHANGES IN THE MANUAL PAGES:
- the documentation has been updated to reflect the current state of
the software
- some routines have been moved to different manual pages
to group like-routines together
CHANGES IN THE CONTRIBUTED SOFTWARE:
- support was added for the Acorn RISC OS (from Peter Greenham)
- support for Windows NT/Windows 95 contributed for a previous
version of this software was sort of incorporated (it's broken
right now) (from Scott Wagner)
TIFF home page.
Sam Leffler /<EMAIL_ADDRESS>Last updated $Date: 2016-09-25 20:05:45 $.


 Just a straightforward open-source tool to help you generate your secret santa pairings. One static page, and that's it.
In the most common case (no exclusion rules, pair each guest with another at random), enter the name of your guests one line at a time. Once done, press "generate" and you're all set: send the generated links to your guests (by mail, chat, whatever floats your boat) and their pairing will be revealed to them (and only them) once they open the link.
Where does this tool come from?
I wanted to make a Secret Santa over Facebook without having to reveal to anyone my guests email addresses (so nothing that would require a backend). I also wanted not to know who was paired with me, so I had to find a way to somehow obfuscate the information. And being a developer, well, my first thought was "Let's AES it, for fun and profits!". Classic.


{% if likes_same_sport == true %}
tennis
tennis is fun you should try it
{% for player in fav %}
{{player}}
{% endfor %}
{% else %}
tennis
tennis is fun you should try it
{% endif %}


public class TilePositionContenderFactory extends TilePositionFactory
| Modifier and Type | Field and Description |
|---|---|
private int |
contendedTileRangeBaseLocations |
private int |
contendedTileRangeBorder |
private int |
contendedTileRangeGeysers |
private int |
contendedTileRangeMinerals |
| Constructor and Description |
|---|
TilePositionContenderFactory() |
| Modifier and Type | Method and Description |
|---|---|
private void |
contendTilePositionsAroundGeysers(java.util.HashSet<bwapi.TilePosition> designatedHashSet,
java.util.List<bwapi.Unit> excludedUnits)
Function for contending all TilePositions in a specific area around each
geyser on the map.
|
private void |
contendTilePositionsAroundMinerals(java.util.HashSet<bwapi.TilePosition> designatedHashSet,
java.util.List<bwapi.Unit> excludedUnits)
Function for contending all TilePositions in a specific area around each
mineral spot on the map.
|
private void |
contendTilePositionsAtBaseLocations(java.util.HashSet<bwapi.TilePosition> designatedHashSet)
Function for contending all TilePositions on each BaseLocation on the
map.
|
private void |
contendTilePositionsAtMapEdges(java.util.HashSet<bwapi.TilePosition> designatedHashSet)
Function for contending all TilePositions in a specific area at the map
edge.
|
java.util.HashSet<bwapi.TilePosition> |
generateDefaultContendedTilePositions()
Function for generating the Default contended TilePositions in the
beginning of the game.
|
addAdditionalAddonSpace, generateNeededTilePositions
private int contendedTileRangeBorder
private int contendedTileRangeMinerals
private int contendedTileRangeGeysers
private int contendedTileRangeBaseLocations
public java.util.HashSet<bwapi.TilePosition> generateDefaultContendedTilePositions()
private void contendTilePositionsAroundMinerals(java.util.HashSet<bwapi.TilePosition> designatedHashSet, java.util.List<bwapi.Unit> excludedUnits)
designatedHashSet
- the HashSet in which the TilePositions are going to be stored.excludedUnits
- the Units that are not going to be looked at during the
iterations.private void contendTilePositionsAroundGeysers(java.util.HashSet<bwapi.TilePosition> designatedHashSet, java.util.List<bwapi.Unit> excludedUnits)
designatedHashSet
- the HashSet in which the TilePositions are going to be stored.excludedUnits
- the Units that are not going to be looked at during the
iterations.private void contendTilePositionsAtMapEdges(java.util.HashSet<bwapi.TilePosition> designatedHashSet)
designatedHashSet
- the HashSet in which the TilePositions are going to be stored.private void contendTilePositionsAtBaseLocations(java.util.HashSet<bwapi.TilePosition> designatedHashSet)
designatedHashSet
- the HashSet in which the TilePositions are going to be stored.


Selected American and British Poems
by FCIT
Spanning the Atlantic, this collection brings together classic poetry from two traditions.
Source: This book was compiled by the Florida Center for Instructional Technology and includes passages from multiple sources. Please refer to the passage pages for further source information.
- At the Summit of the Washington Monument
- A poem to the vistas and vision from the heights of the Washington Monument and the vision of the man himself.
- The Ballad of Reading Gaol
- A poetic narrative describing Oscar Wilde's experiences in the Reading Gaol.
- "Barbara Frietchie"
- Poem describing the patriotism of a ninety-year old woman as General Stonewall Jackson marches through Frederick, Maryland.
- "The Barefoot Boy"
- "Blessing on thee, little man, Barefoot boy, with cheek of tan!"
- “The Brown Thrush”
- A rhyme that serves to tell children to behave through the song of a bird.
- “The City Mouse and the Garden Mouse”
- A nursery rhyme about the differences between the city mouse and the garden mouse and how each is happy in his own manner.
- “The Conquest of Fairyland”
- A king ends up cursed.
- Humanitad
- It is full winter now: the trees are bare,
- “If I Were a Sunbeam”
- A fanciful poem exploring the mind of an adult lost in a land of fairy tales.
- Impressions
- The lily's withered chalice falls around its rod of dusty gold,
- “Laughing Song”
- A cheerful poem about springtime.
- Le Jardin Des Tuileries
- This winter air is keen and cold, and keen and cold this winter sun,
- Lift Every Voice and Sing
- A poem describing the perils our fathers went through to keep their homeland free.
- A Line-Storm Song
- "The line-storm clouds fly tattered and swift,"
- Meddlesome Matty
- In this poem, Meddlesome Matilda learns her lesson after an unfortunate encounter with a snuff box.
- Maud Muller
- A brief encounter causes a lifetime of remorseful reflection on what might have been.
- My Butterfly
- There are things that can never be the same.
- Lullaby
- A nursery rhyme that is a lullaby to a baby.
- Newton
- A poem about Newton proving the law of gravity.
- The Wind
- A poem that analyzes the nature and presence of the wind.
- October
- He sees days slipping from him that were the best for what they were.
- When I Heard the Learn’d Astronomer
- The speaker reacts to hearing the facts and figures of astronomy by escaping to view the night sky alone.
- Piping Down the Valleys Wild
- A poem about the speaker as a piper who writes his songs down so that every child may enjoy them.
- The Way To Be Happy
- A poem/nursery rhyme about the rewards of good behavior.
- The Violet
- A poem about a violet and its beauty.
- The Rivulet
- A poem in which the speaker describes a rivulet in his/her commands to it.
- The Sisters
- A sing-song poem that focuses on three sisters dancing and then two mourning for the third.
- The Star
- A nursery rhyme that imitates a lullaby about the evening star.
- Stanzas for the Times
- Poem referring to a pro-slavery meeting in Faneuil Hall in August of 1835.
- Snow Bound - A Winter Idyl
- As a way to pass the time during a raging snowstorm, family members exchanges stories by the fireside.
- Specimen of an Induction to a Poem
- "Lo! I must tell a tale of chivalry;"
- Year Published: 2012
- Language: English
- Country of Origin: United States of America
-
Readability:
- Flesch–Kincaid Level: 5.3
- Word Count: 21,779
- Genre: Poetry
- Keywords: behavior, biography, coming of age, courage, death, difference and indifference, fairies, fantasy, hardship, history, incarceration, life, nature, patriotism, spring, the arrogance of kings, the value of freedom, war, youth


ngx-ui-tour
is a UI tour library built for Angular. It's inspired by
angular-ui-tour.
TourNgxBootstrapModule
is an implementation of the tour UI that uses
NgxBootstrap popovers to display tour steps.
npm install ngx-ui-tour-core ngx-ui-tour-ngx-bootstrap ngx-bootstrap
TourNgxBootstrapModule.forRoot()
into your app module
RouterModule
is imported in your app module
index.html
:
{{bootstrapCssCdn}}


--- title: 'Looking at competing events through a different lens in dementia research' subtitle: 'Melodem Progress Meeting, 2020' author: Paloma date: '2020-07-21' slug: melodem-2020 categories: - causal inference - competing events tags: - causal inference - competing events - dementia - mortality summary: '' authors: [] lastmod: '2021-02-13T19:37:10+01:00' featured: no image: caption: '' focal_point: '' preview_only: no projects: [] links: - icon: images icon_pack: fas name: Slides url: "https://melodem2020-rojassaunero.netlify.app/#1" ---
I presented this work in the Selection Session at MELODEM’s first virtual Annual Meeting on July 2020.
The manuscript of this work is in process.


{% extends "base.html" %} {% from "_formHelpers.html" import render_field3 %} {% import "bootstrap/wtf.html" as wtf %} {% block content %}


--- layout: default ---
I am an internet activist, developer, robot, inventor, and entrepreneur. I was built not born. [Read more]


Tickets are $10 each. Dinner packages are an extra $5. All fields are re quired.
Number of Tickets Limit 8
Dinner Packages Serves 2
Credit card number No spaces or dashes, please.
Expiration date MM/YYYY
Name
Street Address
City
State
ZIP


Are you sure you want to delete this App Space? All Applications, Routes and Services from this App Space will be permanently deleted.


Cars
Create
All Cars
reg
make
model
price
Update
Delete
191 MO 123
Ford
Mondeo
25000
update
delete
12 D 123
Fiat
Punto
4000
update
delete
08 D 123
Nissan
Almera
500
update
delete
Create a
Update this
Car
Reg
Make
Ford
Fiat
Nissan
Model
Price
Create
Update


--- layout: base title: "Privacy policy for Krieselreihe Games" description: "" ---
My website may be used without entering personal information. Different rules may apply to certain services on my site, however, and are explained separately below. Information is considered personal if it can be associated exclusively to a specific natural person. The legal framework for data protection may be found in the German Federal Data Protection Act (BDSG) and the Telemedia Act (TMG). The provisions below serve to provide information as to the manner, extent and purpose for collecting, using and processing personal information.
Please be aware that data transfer via the internet is subject to security risks and, therefore, complete protection against third-party access to transferred data cannot be ensured.
There are no cookies here. Seriously, not even any analytics script is used.
This website uses Plausible Analytics , a privacy-friendly, open source web analytics software hosted inside the EU. Plausible Analytics does not track, collect nor store any personal data or personally identifiable information. It is GDPR, CCPA and cookie law compliant. Read more about Plausible Data Policy or have a direct look at the public dashboard of this website .
On the basis of the Federal Data Protection Act, you may contact my at no cost if you have questions relating to the collection, processing or use of your personal information, if you wish to request the correction, blocking or deletion of the same, or if you wish to cancel explicitly granted consent. Please note that you have the right to have incorrect data corrected or to have personal data deleted, where such claim is not barred by any legal obligation to retain this data.


VRaptor 3 focuses in simplicity and, therefore, all of its functionalities have as main goal solve the developer's problem in the less intrusive way.
Either CRUD operations or more complex functionalities such as download, upload,
results in different formats (xml, json, xhtml etc), everything is done through VRaptor3's
simple and easy-to-understand functionalities. You don't have to deal directly with
HttpServletRequest
, Responses
or any javax.servlet
API, although you still
have the control of all Web operations.
You can start your project based on vraptor-blank-project
, available on
http://vraptor.caelum.com.br/download.jsp . It contains all required jar dependencies, and
the minimal web.xml configuration for working with VRaptor.
The vraptor-blank-project
project is configured to work with Eclipse. But if you use
Netbeans IDE you can import project using the guide avaliable on
http://netbeans.org/kb/docs/java/import-eclipse.html. If you use IntelliJ IDEA you can
import the blank project using the guide avaliable on
http://www.jetbrains.com/idea/webhelp/importing-eclipse-project-to-intellij-idea.html.
If you want to use Maven, you can add VRaptor's Maven artifact on your pom.xml:
<dependency>
<groupId>br.com.caelum</groupId>
<artifactId>vraptor</artifactId>
<version>3.2.0</version><!--or the latest version-->
</dependency>
Having VRaptor properly configured on your web.xml, you can create your controllers for dealing with web requests and start building your system.
A simple controller would be:
/*
* You should annotate your controller with @Resource, so all of its public methods will
* be ready to deal with web requests.
*/
@Resource
public class ClientsController {
private ClientDao dao;
/*
* You can get your class dependencies through constructor, and VRaptor will be in charge
* of creating or locating these dependencies and manage them to create your controller.
* If you want that VRaptor3 manages creation of ClientDao, you should annotate it with
* @Component
*/
public ClientsController(ClientDao dao) {
this.dao = dao;
}
/*
* All public methods from your controller will be reachable through web.
* For example, form method can be accessed by URI /clients/form,
* and will render the view /WEB-INF/jsp/clients/form.jsp
*/
public void form() {
// code that loads data for checkboxes, selects, etc
}
/*
* You can receive parameters on your method, and VRaptor will set your parameters
* fields with request parameters. If the request have:
* custom.name=Lucas
* custom.address=Vergueiro Street
* VRaptor will set the fields name and address of Client custom with values
* "Lucas" and "Vergueiro Street", using the fields setters.
* URI: /clients/add
* view: /WEB-INF/jsp/clients/add.jsp
*/
public void add(Client custom) {
dao.save(custom);
}
/*
* VRaptor will export your method return value to the view. In this case,
* since your method return type is List<Clients>, then you can access the
* returned value on your jsp with the variable ${clientList}
* URI: /clients/list
* view: /WEB-INF/jsp/clients/list.jsp
*/
public List<Client> list() {
return dao.listAll():
}
/*
* If the return type is a simple type, the name of exported variable will be
* the class name with the first letter in lower case. Since this method return
* type is Client, the variable will be ${client}.
* A request parameter would be something like id=5, and then VRaptor is able
* to get this value, convert it to Long, and pass it as parameter to your method.
* URI: /clients/view
* view: /WEB-INF/jsp/clients/view.jsp
*/
public Client view(Long id) {
return dao.load(id);
}
}
Note this class is independent of javax.servlet
API. The code is also very
simple and can be unit tested easily. VRaptor will make associations with these
URIs by default:
/client/form invokes form() /client/add invokes add(client) populating the client with request parameters /clients/list invokes list() and returns ${clientList} to JSP /clients/view?id=3 invokes view(3l) and returns ${client} to JSP
We'll see later how easy it is to change the URI /clients/view?id=3
to
the more elegant /clients/view/3
.
ClientDao will also be injected by VRaptor, as we'll see. You can see now the Ten minutes guide.


njGetAttributes
PURPOSE
njGetAttributes get attributes for NetCDF file, NetCDF URL or OpenDAP URL
SYNOPSIS
function attr=njGetAttributes(ncRef,var,attrb)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- end mGeoGridVar/end -- Evaluate "end" as an index. (overloaded method)
- end mVar/end -- Evaluate "end" as an index. (overloaded method)
- njGetAttributes njGetAttributes get attributes for NetCDF file, NetCDF URL or OpenDAP URL
This function is called by:
- getAttributes mDataset/getAttributes - Returns a structure with global attributes or a value for specified global attribute name.
- getAttributes mGeoGridVar/getAttributes -get attribute(s) associated with the gridded variable
- getAttributes mVar/getAttributes -get attribute(s) associated with the variable
- njGetAttributes njGetAttributes get attributes for NetCDF file, NetCDF URL or OpenDAP URL
Generated on Fri 10-Apr-2009 13:39:58 by m2html © 2003


Trait CallableResolverAwareTrait
ResolveCallable
This is an internal class that enables resolution of 'class:method' strings into a closure. This class is an implementation detail and is used only inside of the Slim application.
protected
Closure
|
#
resolveCallable( callable|string $callable )
Resolve a string of the format 'class:method' into a closure that the router can dispatch. |
public
Interop\Container\ContainerInterface
|
$container
|


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Clients are instances used to monitor and consume tweets from Twitter. Users can define which keywords or users they are interested in. When a SocialBus Twitter Consumer instance receives a tweet it sends the tweet to the server. You can deploy as many consumers as you want.
SocialBus Twitter Consumer follows the structure below.
+ lib + bin + logs - conf + examples log4j.properties client.conf filter_by_keywords.conf filter_by_users.conf logback-smtp-client.xml socialecho-twitter-consumer.jar LICENSE
You can use this client as standalone without depending on the Server. To run as standalone just specify the option home.dir. It will persists all tweets as files.
If you want to use it with the Server specifying rabbitmq.host option is mandatory.
## SETTINGS ## Server connection config # this options defines where the client will send the tweets rabbitmq.host=localhost # this options defines where the client will save the tweets home.dir =/tmp/stream/
To run this client just run:
> bin/startup.sh [-config] [-oauth] [-filter]
If not informed the system will assume the following values for each argument:
-config = conf/client.conf
-oauth = None (Mandatory)
-filter = None (Optional)
Optionaly you can specify where your config, oauth and filter file are:
> bin/startup.sh -oauth=your-tokens.csv -config=conf/client.conf -filter=my_filter.conf
Collecting tweets from sample stream is plain easy. If you don’t inform -filter at startup it will collect tweets from Twitter Sample Stream endpoint.
While consumer is running it prints the message on log file at logs/socialecho-twitter-consumer.out.
tail -f logs/socialecho-twitter-consumer.out
# This option defines the topic name of your messages.
# Messages are indexed according their topic.
topic.name=my_topic
#filter type (USERS | KEYWORDS)
filter.type=KEYWORDS
# file containing filters
filter.file=./examples/my_topic_filters.txt
This example filter file contains the following.
> cat ./examples/my_topic_filters.txt android iphone windowsphone ios7
IMPORTANT: Be careful with relative path when defining filter.file option. Try to use absolute path.
The config file examples/filter_by_users.conf contains an example to monitor users.
# This option defines the topic name of your messages. # Messages are indexed according their topic. topic.name=my_community #filter type (USERS | KEYWORDS) filter.type=USERS # file containing filters filter.file=./examples/my_community_filters.txt
This example filter file contains the following.
> cat ./examples/my_community_filters.txt 1234 566788
IMPORTANT: Be careful with relative path when defining filter.file option. Try to use absolute path.
<?xml version="1.0" encoding="UTF-8" ?>
<configuration scan="true" scanPeriod="60 seconds" debug="true">
<statusListener class="ch.qos.logback.core.status.OnConsoleStatusListener" />
<appender name="EMAIL" class="ch.qos.logback.classic.net.SMTPAppender">
<smtpHost>smtp.gmail.com</smtpHost>
<smtpPort>465</smtpPort>
<EMAIL_ADDRESS><EMAIL_ADDRESS><subject>SocialBus Alert!</subject>
<EMAIL_ADDRESS><password>change_it</password>
<SSL>true</SSL>
<layout class="ch.qos.logback.classic.PatternLayout">
<pattern>%date %-5level %logger{35} - %message%n</pattern>
</layout>
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<level>ERROR</level>
</filter>
</appender>
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<pattern>%date %-5level %logger{0} - %message%n</pattern>
</encoder>
</appender>
<root level="INFO">
<!--
Uncomment this line after setup your smtp above.
<appender-ref ref="EMAIL" />
-->
<appender-ref ref="STDOUT" />
</root>
</configuration>


In this trading strategy we would define a class named 'pairs'. We manage pairs instead of stocks directly to make it's more convenient for us to calculate correlation and cointegration, update stock prices in the pair and trade on the selected pairs.
The pairs is made up of two stocks, stock A and stock B. This class has several properties. The basic properties include symbols of stock A and stock B, the pandas DataFrame that contains time and prices of the two stocks, the current error, the error of the last datapoint, and the lists to record stock prices for update purpose. Instead of updating the DataFrame every 5 minutes, we record the prices in lists to update the DataFrame monthly. This would speed up the algorithm at least 10 times because manipulating DataFrame is very time consuming. The cor_update method is used every month to update the correlation between the two stocks in this pair. The cointegration_test method is also used monthly to do OLS regression, conduct ADF test, and calculate the mean and standard deviation of the residual. The method also assign these calculated values as properties to the pair object.
class pairs(object): def __init__(self, a, b): self.a = a self.b = b self.name = str(a) + ':' + str(b) self.df = pd.concat([a.df,b.df],axis = 1).dropna() # The number of bars in the rolling window would be determined by the resolution, so we get this information from the shape of the DataFrame here. self.num_bar = self.df.shape[0] self.cor = self.df.corr().ix[0][1] # Set the initial signals to be 0 self.error = 0 self.last_error = 0 self.a_price = [] self.a_date = [] self.b_price = [] self.b_date = [] def cor_update(self): self.cor = self.df.corr().ix[0][1] def cointegration_test(self): self.model = sm.ols(formula = '%s ~ %s'%(str(self.a),str(self.b)), data = self.df).fit() # This line conduct ADF test on the residual. ts.adfuller() returns a tuple and the first element in the tuple is the test value. self.adf = ts.adfuller(self.model.resid,autolag = 'BIC')[0] self.mean_error = np.mean(self.model.resid) self.sd = np.std(self.model.resid) def price_record(self,data_a,data_b): self.a_price.append(float(data_a.Close)) self.a_date.append(data_a.EndTime) self.b_price.append(float(data_b.Close)) self.b_date.append(data_b.EndTime) def df_update(self): new_df = pd.DataFrame({str(self.a):self.a_price,str(self.b):self.b_price},index = [self.a_date]).dropna() self.df = pd.concat([self.df,new_df]) self.df = self.df.tail(self.num_bar) # after updating the DataFrame, we empty the lists for the incoming data for list in [self.a_price,self.a_date,self.b_price,self.b_date]: list = []
The function generate_pairs generates pairs using the stock symbols. self.pair_threshold and self.pair_num are pre-determined to control the number of candidate pairs. The pairs in self.pair_list would be kept and updated throughout our backtesting period. we set self.pair_threshold to 0.88 and self.pair_num to 120 to limit the number of pairs in the list. If we put too many pairs in the list, the backtesting would be too time consuming. The function pair_clean is called after the two-stage screen. If the first pair contains stock A and stock B, and the second pair contains stock B and stock C, we would remove the second pair because the overlapped signal would disturb the balance of our portfolio.
def generate_pairs(self): for i in range(len(self.symbols)): for j in range(i+1,len(self.symbols)): self.pair_list.append(pairs(self.symbols[i],self.symbols[j])) self.pair_list = [x for x in self.pair_list if x.cor > self.pair_threshold] self.pair_list.sort(key = lambda x: x.cor, reverse = True) if len(self.pair_list) > self.pair_num: self.pair_list = self.pair_list[:self.pair_num] def pair_clean(self,list): l = [] l.append(list[0]) for i in list: symbols = [x.a for x in l] + [x.b for x in l] if i.a not in symbols and i.b not in symbols: l.append(i) else: pass return l
This part is under the OnData step. We set self.num_bar equals to the number of TradeBar in three months, which is determined by the resolution. During this period we fill the stock prices in lists, and assign each stock's price list to the symbol as a property. We would also remove the symbol from the symbol list if it has no data.
if len(self.symbols[0].prices) < self.num_bar: for symbol in self.symbols: if data.ContainsKey(i) is True: symbol.prices.append(float(data[symbol].Close)) symbol.dates.append(data[symbol].EndTime) else: self.Log('%s is missing'%str(symbol)) self.symbols.remove(symbol) self.data_count = 0 return
This process is also under the OnData step. This step would generate pairs if it is the first trading period of this algorithm. If it's not, it will update the DataFrame and correlation coefficient of each pair in self.pair_list. After that the pairs have a correlation coefficient higher than 0.9 would be selected into self.selected_pair. Then all the pairs in self.selected_pair would be tested on their cointegration, and the pairs with a test value less than -3.34 would be selected to the final list. This step will also limit the number of stocks in the final list, by default we set self.selected_num to 10. self.count is a flag to count the number of datapoint we received. Once it reach 1-month amount, that means one trading period is passed and it would be set to 0.
if self.count == 0 and len(self.symbols[0].prices) == self.num_bar: if self.generate_count == 0: for symbol in self.symbols: symbol.df = pd.DataFrame(symbol.prices, index = symbol.dates, columns = ['%s'%str(symbol)]) self.generate_pairs() self.generate_count +=1 self.Log('pair list length:'+str(len(self.pair_list))) for pair in self.pair_list: pair.cor_update() # Update the DataFrame and correlation selection if len(self.pair_list[0].a_price) != 0: for pair in self.pair_list: pair.df_update() pair.cor_update() self.selected_pair = [x for x in self.pair_list if x.cor > 0.9] # Cointegration test for pair in self.selected_pair: pair.cointegration_test() self.selected_pair = [x for x in self.selected_pair if x.adf < self.BIC] self.selected_pair.sort(key = lambda x: x.adf) # If no pair passed the two-stage test, return. if len(self.selected_pair) == 0: self.Log('no selected pair') self.count += 1 return # clean the pair to avoid overlapping stocks. self.selected_pair = self.pair_clean(self.selected_pair) # assign a property to the selected pair, this is a signal that would be used for trading. for pair in self.selected_pair: pair.touch = 0 self.Log(str(pair.adf) + pair.name) # limit the number of selected pairs. if len(self.selected_pair) > self.selected_num: self.selected_pair = self.selected_pair[:self.selected_num] self.count +=1 self.data_count = 0 return
It would be too long to read if we paste all the code in trading period together. Thus we would separate the code into three part: updating pairs, opening pairs trading and closing pairs trading. But all those lines are under OnData step and are under the condition: if self.count != 0 and self.count < self.one_month. This means it's in the trading period.
This step would update the stock prices in each pair. It would also update the signal called 'last_error' and immediately after this the pairs would receive new signals.
num_select = len(self.selected_pair) for pair in self.pair_list: if data.ContainsKey(pair.a) is True and data.ContainsKey(pair.b) is True: i.price_record(data[i.a],data[i.b]) else: self.Log('%s has no data'%str(pair.name)) self.pair_list.remove(pair) for pair in self.selected_pair: pair.last_error = pair.error for pair in self.trading_pairs: pair.last_error = pair.error
For each pair in self.selected_pair, we receive the current prices of the stocks, and then use the cointegration model to calculate the residual \(\epsilon\), which is assigned to the pair as a property named 'error'. self.trading.pairs is a list to store the trading pairs. Once a pairs trading is open, this pair would be add to the list, and it would be removed when the trading is closed. The property 'touch' is signal. If the residual \(\epsilon\) cross over the positive threshold standard deviation(we set \(\ 2.23*sigma\) here), the signal would become +1; while if it cross down the negative threshold deviation(\(\ -2.23*sigma\), the signal would become -1. For those pairs with +1 signal, if the error cross down positive threshold, there is a signal to open a trade. We long stock B and short stock A. For those pairs with -1 signal, if the error cross over negative threshold, we long Stock A and short stock B. When we opening a trade, we need to record the current model, current mean and standard deviation of the residual. This is necessary because if we enter a new trading period and the trade has not been closed yet, the cointegration model, mean and standard deviation of the pairs would be changed. We need to use the original thresholds to close the trades. while adding the pairs into self.trading_pairs, we also need to set the signal 'touch' to 0 for further use.
for i in self.selected_pair: price_a = float(data[i.a].Close) price_b = float(data[i.b].Close) i.error = price_a - (i.model.params[0] + i.model.params[1]*price_b) if (self.Portfolio[i.a].Quantity == 0 and self.Portfolio[i.b].Quantity == 0) and i not in self.trading_pairs: if i.touch == 0: if i.error < i.mean_error - self.open_size*i.sd and i.last_error > i.mean_error - self.open_size*i.sd: i.touch += -1 elif i.error > i.mean_error + self.open_size*i.sd and i.last_error < i.mean_error + self.open_size*i.sd: i.touch += 1 else: pass elif i.touch == -1: if i.error > i.mean_error - self.open_size*i.sd and i.last_error < i.mean_error - self.open_size*i.sd: self.Log('long %s and short %s'%(str(i.a),str(i.b))) i.record_model = i.model i.record_mean_error = i.mean_error i.record_sd = i.sd self.trading_pairs.append(i) self.SetHoldings(i.a, 5.0/(len(self.selected_pair))) self.SetHoldings(i.b, -5.0/(len(self.selected_pair))) i.touch = 0 elif i.touch == 1: if i.error < i.mean_error + self.open_size*i.sd and i.last_error > i.mean_error + self.open_size*i.sd: self.Log('long %s and short %s'%(str(i.b),str(i.a))) i.record_model = i.model i.record_mean_error = i.mean_error i.record_sd = i.sd self.trading_pairs.append(i) self.SetHoldings(i.b, 5.0/(len(self.selected_pair))) self.SetHoldings(i.a, -5.0/(len(self.selected_pair))) i.touch = 0 else: pass else: pass
This part controls pairs trading exit. It works similar to the opening part. It uses the recorded original model and thresholds to determine whether or not we should close the position. If the residual \(\epsilon\) reaches our closing threshold, we liquidate stock A and stock B to close. If the residual continue to deviate from the mean and goes too far, we would also close the position to stop loss. When we close a pairs trading, we also remove the pairs from self.trading_pairs.
for i in self.trading_pairs: price_a = float(data[i.a].Close) price_b = float(data[i.b].Close) i.error = price_a - (i.record_model.params[0] + i.record_model.params[1]*price_b) if ((i.error < i.record_mean_error + self.close_size*i.record_sd and i.last_error >i.record_mean_error + self.close_size*i.record_sd) or (i.error > i.record_mean_error - self.close_size*i.record_sd and i.last_error i.record_mean_error + self.stop_loss*i.record_sd: self.Log('close %s to stop loss'%str(i.name)) self.Liquidate(i.a) self.Liquidate(i.b) self.trading_pairs.remove(i) else: pass


A + Personal Home Care Team
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Ilona Yusufov
Director of Clinical Services/RN
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Khatuna Kutchava
Registered Nurse
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Marina Yelizarov
Alternate Administrator/Intake
Coordinator (Pikesville office) -
Hyun Sook Choi
Intake Coordinator (Gaithersburg office)


| Name: MR.NARAYANA SWAMY | Reg No: 20-3SMHC19 |
|---|---|
| Age / Sex:64/M | Contact No:9448853711 |
| Marital Status:MARRIED | Date:26/3/19 |
| Occupation:BUSINESS | Dr. PJFP |
Address: LAKSHMI MADAMS FATHER. |
DIAGNOSIS- |
LEFT SHOULDER PAIN AND ARM MUSCLES ARE VERY PAINFUL FROM AN YEAR. < LYING DOWN. > LYING ON SIDES.
 BURNS CAN’T SIT CROSS LEGGED FROM 1 YEAR. RT LEG MORE.
GETS KNEES PAIN AND THIGHS PAIN ALSO. CANT WALK ALSO. PAIN.
GOT TREATED FOR ACUTE PANCREATITIS AND SURGERY AN YEAR AGO.
CHRONIC SMOKER AND ALCOHOLIC.
SAYS NOW HE QUIT.
GASTRITIS. LEFT CHEST PAIN AT TIMES AND UMBILICAL REGION.
RX:
THUJA 50M – 1 DOSE
APIS 200+BRYONIA200 -4-4-4 PILLS B/FOOD 3 DRAM
NAT SULPH 200 – 1 DRAM 40 SIZE PILLS AFTN B/FOOD.
RUB 15 1 TAB NIGHT B/FOOD.
KURCHI/HYDRASTIS – 15-15-15 DROPS A/FOOD WATER.
13/4/19: occasional got use to take sleeping tablet. Post surgery due to pain use to take now taking when sleep difficultites. Knee pain frm yesterday stiffness pain and cant fold. Low back pain < lying only. gastritis better. Bp: 100/70mmhg.
Rx:
Nat sulph1m /thuja1m – 8 doses weekly twice.
Actae spicata 1m/ rhus tox 1m/bryonia 1m disc 4-0-4 a/food.
KURCHI/HYDRASTIS – 15-15-15 DROPS A/FOOD WATER.
Acid sulph 200 7 doses – alternate days mng b/brush.
27/4/19: knee pain stiffness. Feet burning even fingers also are not bending. So much pain. gastritis is inc a bit. Low back pain better.
Rx:
Sec cor 200 – 4 pills aftn /night. 1 dram pills
Sulphur 200 – 4 morning/evening b/food. 1 dram pills.
Lyco 200 – disc 4-0-4 .
4/5/19: inabsentia feels pain in the toes of the feet.
Rx:
Verbena 30/valeriana 200/ ars 30 – 4-4-4-4 pills
15/5/19: LEG PAIN SAME.TOES PAIN SAME. SMOKING STILL.
RX:
STAPHYSAGRIA 200 – 4 AFTERNOON
THUJA 200- MORNING
NUX VOM 200 – NIGHT
ARS ALB 200 – EVENING.
22/5/19: on bp and dm tablets. . . cough occasional. Cant bend and take things or cut nail gets back pain.
Rx
Sulphur1m – 2 doses
Petrol 200/sepia200 – 4-0-4 b/food.
19/7/19: leg pain same. Gastritis. As if swelling. Fat feeling. Retrosternal pain. Pricking at times. Bloated abdomen.
Rx:
Nat phos 1m – mng/evening.
Thuja 0/1 – 4-0-4 b/food.
Nux vom 1m/aloes 200 – aftn/night.
Sulphuric acid 1m – mng b/food 1 dose – 10 doses.
Vit d – 1 tab mng b/food – 10 tabs.
Alfalfa/cephalandra/kurchi/abroma- 15-15-15 a/food water.
10 days med
7/8/19: no change. No change. Dorsum of the foot medial and lateral side s feels lot of pain.
Rx:
Prunus spinosa 200 -4—4-4-4 2 dram.
Apis 200 – 4-0-4 pills 2 dram
Kali phos 6x 4-4-4
1 week med.
250
9/8/19: cant cover blanket burning.
Rx:
Puls Q /valeriana Q/crateagusQ – 15-15-15 a/food water
Puls200 – morn/evening
Sec cor 6c disc 4-4-4-4
Sulphur 200 – aftn/night b/food.
Med 200 – 2 doses 5 days once.b/brush mng.
10 days -


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