class: center, middle Elements of Data Science - F2019 # Natural Language Processing, Topic Modeling and Recommendation Engines 11/18/2019 --- # Natural Language Processing (NLP) -- count:false - Analyzing and interacting with natural language -- count:false - Python Libraries - **sklearn** - nltk - **spaCy** - gensim - ... --- # Natural Language Processing (NLP) ### Many NLP Tasks -- count:false - topic modeling -- count:false - entity detection -- count:false - sentiment analysis -- count:false - machine translation -- count:false - natural language generation -- count:false - question answering -- count:false - relationship extraction -- count:false - automatic summarization -- count:false - ... --- # NLP: The Corpus **corpus**: collection of documents -- count:false - books -- count:false - articles -- count:false - reviews -- count:false - tweets -- count:false - resumes -- count:false - sentences? - ... --- # NLP: Doc Representation - Documents usually represented as strings - string: a sequence (list) of unicode characters -- count:false ```python doc = "D.S. is fun!\nIt's true." print(doc) ``` ``` D.S. is fun! It's true. ``` -- count:false ```python '|'.join(doc) ``` ``` "D|.|S|.| |i|s| |f|u|n|!|\n|I|t|'|s| | |t|r|u|e|." ``` -- count:false - Need to split this up into parts (**tokens**) --- # Regular Expressions - Search patterns over text - Useful for finding/replacing/grouping - Can use the python `re` library -- count:false .smaller[ ```python print(doc) ``` ``` D.S. is fun! It's true. ```] -- count:false .smaller[ ```python import re # Find all of the whitespaces in doc re.findall(r'\s+',doc) ```] -- count:false .smaller[ ``` [' ', ' ', '\n', ' '] ```] --- # Regular Expressions - Short list of special characters - `.` : any single character except newline (`r'.', 'x'`) - `^` : beginning of string (`r'^D', 'D.S.'`) - `$` : end of string (`r'`fun!$', 'DS is fun!'`) - `*` : match 0 or more repetitions (`r'x*',''`) - `+` : match 1 or more repetitions (`r'x+', 'xx'`) - `?` : match 0 or 1 repetitions (`r'x?', ''`) --- # Regular Expressions - Short list of special characters (cont.) - `[]` : a set of characters (^ as first element = not) - `\s` : whitespace character (Ex: `[ \t\n\r\f\v]`) - `\S` : non-whitespace character (Ex: `[^ \t\n\r\f\v]`) - `\w` : word character (Ex: `[a-zA-Z0-9_]`) - `\W` : non-word character - `\b` : boundary between \w and \W - and many more! -- count:false - See [regex101.com](https://regex101.com/) for examples and testing --- # NLP: Tokenization -- count:false - **tokens**: strings that make up a document ('the','cat',...) -- count:false - **tokenization**: convert a document into tokens -- count:false - **vocabulary**: set of unique tokens (**terms**) in corpus -- count:false .smaller[ ```python # split on whitespace re.split(r'\s+', doc) ``` ``` ['D.S.', 'is', 'fun!', "It's", 'true.'] ```] -- count:false .smaller[ ```python # find tokens of length 2+ word characters re.split('\b\w\w+\b') ``` ``` ['is', 'fun', 'It', 'true'] ```] -- count:false .smaller[ ```python re.findall(r'\b\w\w+\b', re.sub(r'D\.S\.','Data Science',doc)) ``` ``` ['Data','Science', 'is', 'fun', 'It', 'true'] ```] --- # NLP:Tokenization
.center[ ![](images/spacy_tokenization.svg) ] .tiny[ https://spacy.io/usage/linguistic-features] --- # Using spaCy ```python import spacy #python -m spacy download en_core_web_sm nlp = spacy.load("en_core_web_sm") parsed = nlp(doc) '|'.join([token.text for token in parsed]) ``` ``` "D.S.|is|fun|!|\n|It|'s| |true|." ``` --- # NLP: Other Preprocessing -- count:false - add `
`, `
` tags -- count:false - lowercase -- count:false - remove special characters -- count:false - **stemming**: cut off beginning or ending of word - 'studies' becomes 'studi' - 'studying' becomes 'study' -- count:false - **lemmatization**: perform morphological analysis - 'studies' becomes 'study' - 'studying' becomes 'study' --- # NLP: Bag of Words - BOW: ignore token order -- count:false .smaller[ ```python sorted(re.findall(r'\b\w\w+\b', re.sub(r'D\.S\.','Data Science',doc).lower())) ``` ``` ['data', 'fun', 'is', 'it', 'science', 'true'] ```] --- # NLP: n-Grams - **Unigram**: single token - **Bigram**: combination of two ordered tokens - **n-Gram**: combination of n ordered tokens - The larger n is, the larger the vocabulary
Bigram example: -- count:false ``` '
data science is fun
' ``` -- count:false ``` ['
_data','data_science', 'science_is','is_'fun','fun_
' ``` --- # NLP: TF and DF -- count:false .smaller[ - given a vocabulary, transform documents into BOW ] -- count:false .smaller[ - **Term Frequency**: number of times each term is seen in a document ] -- count:false .smaller[ - **Document Frequency**: number of documents containing term ] -- count:false .smaller[ ``` # Example Corpus ['first text', 'second text text'] ```] -- count:false .smaller[ ``` #Vocabulary ['first','second','text'] ``` ] -- count:false .smaller[ ``` #TF [['first':1,'second':0,'text':1], ['first':0,'second':1,'text':2]] ```] -- count:false .smaller[ ``` #DF ['first':1,'second':1,'text':2] ```] --- # NLP: Stopwords -- count:false - terms that have high DF and aren't informative -- count:false - in general (ex: 'a', 'about','above',...) -- count:false - can also use domain knowledge (class slides: 'data_science') -- count:false - often removed prior to analysis --- # NLP: Sklearn CountVectorizer ```python docs = ['D.S. is fun!','It is true.'] ``` -- count:false ```python from sklearn.feature_extraction.text import CountVectorizer cv = CountVectorizer() X = cv.fit_transform(docs) ``` -- count:false ```python # what vocabulary was learned cv.vocabulary_ ``` ``` {'is': 1, 'fun': 0, 'it': 2, 'true': 3} ``` --- # NLP: Sklearn CountVectorizer ```python docs = ['D.S. is fun!','It is true.'] ``` -- count:false ```python cv = CountVectorizer(lowercase=True, min_df=1, max_df=1.0, token_pattern='\\b\\S\\S+\\b', ngram_range=(1,2), stop_words='english') X = cv.fit_transform(docs) ``` -- count:false ```python cv.vocabulary_ ``` ``` {'d.s': 0, 'fun': 2, 'd.s fun': 1, 'true': 3} ``` --- # NLP: Sklearn CountVectorizer ```python docs = ['D.S. is fun!','It is true.'] ``` -- count:false ```python sorted([(y,x) for x,y in cv.vocabulary_.items()]) ``` ``` [(0, 'd.s'), (1, 'd.s fun'), (2, 'fun'), (3, 'true')] ``` -- count:false ```python X ``` ``` <2x4 sparse matrix of type '
' with 5 stored elements in Compressed Sparse Row format> ``` -- count:false ```python X.todense() ``` ``` matrix([[1, 1, 1, 0], [0, 0, 1, 1]]) ``` --- # NLP: TfIdf - What if some terms are still uninformative? - Can we downweight terms that occur in many documents? - **Term Frequency Inverse Document Frequency (TfIdf)** --- # NLP: TfIdf -- count:false .smallest[ ```python docs = ['First sentence is a test.','Second sentence is also a test.'] ```] -- count:false .smallest[ ```python from sklearn.feature_extraction.text import TfidfVectorizer tfidf = TfidfVectorizer(token_pattern='\\b\\S\\S+\\b', stop_words=['is'], norm=False, smooth_idf=False ) X = tfidf.fit_transform(docs) sorted([(y,x) for x,y in tfidf.vocabulary_.items()]) ```] .smallest[ ``` [(0, 'also'), (1, 'first'), (2, 'second'), (3, 'sentence'), (4, 'test')] ```] -- count:false .smallest[ ```python X.todense() ``` ``` matrix([[0. , 1.69314718, 0. , 1. , 1. ], [1.69314718, 0. , 1.69314718, 1. , 1. ]]) ```] --- # Other NLP Features - Part of Speech tags - Dependency Parsing - Entity Detection - Word Vectors - See spaCy! --- # spaCy: Part of Speech Tagging .smallest[ ```python doc = nlp("Apple is looking at buying U.K. startup for $1 billion") ``` ] -- count:false .smallest[ ```python print(f"{'text':7s} {'lemma':7s} {'pos':5s} {'is_stop'}") print('-'*30) for token in doc: print(f'{token.text:7s} {token.lemma_:7s} {token.pos_:5s} {token.is_stop}') ``` ``` text lemma pos is_stop ------------------------------ Apple apple PROPN False is be VERB True looking look VERB False at at ADP True buying buy VERB False U.K. u.k. PROPN False startup startup NOUN False for for ADP True $ $ SYM False 1 1 NUM False billion billion NUM False ```] --- # spaCy: Dependency Parsing
.smaller[ ```python from spacy import displacy displacy.serve(doc, style="dep") ```]
.center[ ![:scale 100%](images/spacy_dep_parse.png)] --- # spaCy: Entity Detection ```python [(ent.text,ent.label_) for ent in doc.ents] ``` ``` [('Apple', 'ORG'), ('U.K.', 'GPE'), ('$1 billion', 'MONEY')] ``` --- # spaCy: Word Vectors - word2vec - shallow neural net - predict a word given the surrounding context (SkipGram or CBOW) - words used in similar context should have similar vectors -- count:false .smaller[ ```python # Need either the _md or _lg models to get vector information # Note: this takes a while! %run -m spacy download en_core_web_md ```] -- count:false .smaller[ ```python nlp = spacy.load('en_core_web_md') # _lg has a larger vocabulary ```] -- count:false .smaller[ ```python doc = nlp('Baseball is played on a diamond.') doc[0].text, doc[0].vector.shape, list(doc[0].vector[:3]) ``` ('Baseball', (300,), [0.55838, 0.42791, -0.11687]) ```] --- # spaCy: Word Vectors ```python # Use nlp.pipe to transform multiple docs at once docs = list(nlp.pipe(['Baseball is played on a diamond.', 'Hockey is played on ice.', 'Diamonds are clear as ice.'])) ``` -- count:false .smaller[ ```python # using average of token vectors for each document. [['{:.2f}'.format(docs[i].similarity(docs[j])) for j in range(3)] for i in range(3)] ```] -- count:false .smaller[ ``` [['1.00', '0.85', '0.76'], ['0.85', '1.00', '0.77'], ['0.76', '0.77', '1.00']] ```] --- # Learning Sequences - Hidden Markov Models - Conditional Random Fields - Recurrant Neural Networks - LSTM - [BERT](https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270) --- # NLP Review - corpus - tokens, tokenization - vocabulary, terms - n-grams - stopwords - term frequency (TF) - document frequency (DF) - TfIdf - POS - Dependency Parsing - Entity Extraction - Word Vectors --- # Topic Modeling - What topics are our documents composed of? - How much of each topic does each document contain? - Can we represent documents using topic weights? - [See additional slides](latent_dirichlet_allocation.slides.html) --- # Recommendation Engines -- count:false - Find **other things** like the **things I've liked** -- count:false - Find **other things** like the **things people like me have liked** -- count:false - Content-Based Filtering -- count:false - User-Based Collaborative Filtering - Item-Based Collaborative Filtering -- count:false - Hybrid/Ensemble --- # Content-Based Filtering -- count:false - If I like product A, and product B is like product A, I'll like product B -- count:false - Use similarity of itmes -- count:false - Matrix: items x items -- count:false - Values: Similarity of items --- # Example: Housing Data .smaller[ ```python df_house = pd.read_csv('../data/house_sales_subset_normed.csv',index_col=0) df = df_house[['SqFtTotLiving_norm','SqFtLot_norm','AdjSalePrice_norm']].iloc[:10] print(df.head()) ``` ``` SqFtTotLiving_norm SqFtLot_norm AdjSalePrice_norm 0 0.349914 0.654181 -0.798237 3 1.225407 0.442910 -0.309217 4 -0.394254 0.443470 -0.811184 5 -1.258803 -1.685468 -0.414055 7 -0.241043 2.133356 -0.629701 ```] --- # Calculate Distances -- count:false ```python # using euclidean distance from sklearn.metrics.pairwise import euclidean_distances # calculate all pairwise distances between houses dists = euclidean_distances(X) dists.shape ``` ``` (10,10) ``` --- # Query For Similarity ```python # Say I like house 5 query_idx = 5 df.iloc[query_idx] ``` ``` SqFtTotLiving_norm -1.193141 SqFtLot_norm -0.478846 AdjSalePrice_norm -1.039064 Name: 8, dtype: float64 ``` -- count:false ```python # Distances to house 5 [f'{x:0.1f}' for x in dists[query_idx]] ``` ``` ['1.9', '2.7', '1.2', '1.4', '2.8', '0.0', '2.0', '2.1', '1.0', '0.4'] ``` --- # Get Recommendations ```python # find indexes of best scores (for distances, want ascending) best_idxs_asc = np.argsort(dists[query_idx]) best_idxs_asc ``` ``` array([5, 9, 8, 2, 3, 0, 6, 7, 1, 4]) ``` --- # Get Recommendations with Distance ```python # the top 10 recommendations with distance list(zip(best_idxs_asc,sorted(dists[query_idx]))) ``` ``` [(5, 0.0), (9, 0.36454193975111393), (8, 0.96489046966839), (2, 1.2412959364891165), (3, 1.3604716337327696), (0, 1.929447464433964), (6, 1.9964107048046749), (7, 2.0989248372129903), (1, 2.6891791893333212), (4, 2.810278966827491)] ``` --- # User-Based Collaborative Filtering -- count:false - If both you and I like Movie A, and you like Movie B, I'll like movie A -- count:false - Use similarity of user preference to recommend items -- count:false - Matrix: Users x Items -- count:false - Values: Rankings -- count:false .center[ ![:scale 30%](images/user-based_collaborative_filtering.png)] --- # Example: User Interests .smallest[ ```python # from Data Science from Scratch by Joel Grus #https://github.com/joelgrus/data-science-from-scratch.git users_interests = [ ["Hadoop", "Big Data", "HBase", "Java", "Spark", "Storm", "Cassandra"], ["NoSQL", "MongoDB", "Cassandra", "HBase", "Postgres"], ["Python", "scikit-learn", "scipy", "numpy", "statsmodels", "pandas"], ["R", "Python", "statistics", "regression", "probability"], ["machine learning", "regression", "decision trees", "libsvm"], ["Python", "R", "Java", "C++", "Haskell", "programming languages"], ["statistics", "probability", "mathematics", "theory"], ["machine learning", "scikit-learn", "Mahout", "neural networks"], ["neural networks", "deep learning", "Big Data", "artificial intelligence"], ["Hadoop", "Java", "MapReduce", "Big Data"], ["statistics", "R", "statsmodels"], ["C++", "deep learning", "artificial intelligence", "probability"], ["pandas", "R", "Python"], ["databases", "HBase", "Postgres", "MySQL", "MongoDB"], ["libsvm", "regression", "support vector machines"] ] ```] --- # Example of User Interests ```python # interests of user0 users_interests[0] ``` ``` ['Hadoop', 'Big Data', 'HBase', 'Java', 'Spark', 'Storm', 'Cassandra'] ``` --- # Get all Interests -- count:false ```python # get a sorted list of unique interests (here using set) unique_interests = sorted({interest for user_interests in users_interests for interest in user_interests}) unique_interests[:5] ``` ``` ['Big Data', 'C++', 'Cassandra', 'HBase', 'Hadoop'] ``` --- # Transform UserInterest Matrix ```python # Transform between lists of strings and fixed length lists of ints from sklearn.preprocessing import MultiLabelBinarizer mlb = MultiLabelBinarizer(classes=unique_interests) ``` -- count:false ```python user_interest_matrix = mlb.fit_transform(users_interests) user_interest_matrix[0] ``` ``` array([1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) ``` --- # Check UserInterest Matrix ```python # do the positions of 1s match the user0 interests? mlb.classes_[np.where(user_interest_matrix[0])].tolist() ``` ``` ['Big Data', 'Cassandra', 'HBase', 'Hadoop', 'Java', 'Spark', 'Storm'] ``` -- count:false ```python sorted(users_interests[0]) ``` ``` ['Big Data', 'Cassandra', 'HBase', 'Hadoop', 'Java', 'Spark', 'Storm'] ``` --- # Calculate Distances ```python from sklearn.metrics.pairwise import cosine_similarity user_similarities = cosine_similarity(user_interest_matrix) user_similarities[0] ``` ``` array([1. , 0.3380617 , 0. , 0. , 0. , 0.15430335, 0. , 0. , 0.18898224, 0.56694671, 0. , 0. , 0. , 0.16903085, 0. ]) ``` -- count:false ```python # what users does user0 share interests with? np.where(user_similarities[0])[0] ``` ``` array([ 0, 1, 5, 8, 9, 13]) ``` --- # Find Similar Users .smaller[ ```python # return a sorted list of users based on similarity # skip query user and similarity == 0 def most_similar_users_to(query_idx): users_scores = [(idx,sim) for idx,sim in enumerate(user_similarities[query_idx]) if idx != query_idx and sim > 0] return sorted(users_scores, key=lambda x:x[1]) ```] -- count:false .smaller[ ```python most_similar_users_to(0) ``` ``` [(5, 0.1543033499620919), (13, 0.1690308509457033), (8, 0.1889822365046136), (1, 0.3380617018914066), (9, 0.5669467095138407)] ```] --- # Recommend Based On User Similarity - Want to return items sorted by the similarity of other users .smallest[ ```python from collections import defaultdict def user_based_suggestions(idx): suggestions = defaultdict(float) # iterate over interests of similar users for other_idx, sim in most_similar_users_to(idx): for interest in users_interests[other_idx]: suggestions[interest] += sim # sort suggestions based on weight suggestions = sorted(suggestions.items(), key=lambda x:x[1], reverse=True) # return only new interests return [(suggestion,weight) for suggestion,weight in suggestions if suggestion not in users_interests[idx]] ```] --- # Recommend Based On User Similarity ```python # reminder: original interests users_interests[0] ``` ``` ['Hadoop', 'Big Data', 'HBase', 'Java', 'Spark', 'Storm', 'Cassandra'] ``` -- count:false ```python # top 5 new recommended interests user_based_suggestions(0)[:5] ``` ``` [('MapReduce', 0.5669467095138407), ('Postgres', 0.50709255283711), ('MongoDB', 0.50709255283711), ('NoSQL', 0.3380617018914066), ('neural networks', 0.1889822365046136)] ``` --- # Item-Based Collab. Filtering - Compute similarites between interests directly - Matrix: items x users - See [DSFS Chap 22](https://ezproxy.cul.columbia.edu/login?qurl=https%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dnlebk%26AN%3d979529%26site%3dehost-live%26scope%3dsite&ebv=EB&ppid=pp_272) for an example --- # Issues with Collab. Filtering
-- count:false - The cold start problem: What if it's your first time? -- count:false - sparcity: How to recommend movies no one's seen? --- # Evaluating Rec. Systems -- count:false - Precision@N: Out of top N, how many were true? -- count:false - Recall@N: Out of all true, how many were in top N -- count:false - Surprise/Novelty? -- count:false - Diversity? --- # Spotify's Recommendation Engine
[How Does Spotify Know You So Well?]( https://medium.com/s/story/spotifys-discover-weekly-how-machine-learning-finds-your-new-music-19a41ab76efe)
.center[ ![:scale 70%](images/spotify.png)] --- # Recommendation Engines Review -- count:false - Content-Based -- count:false - User-Based Collaborative Filtering -- count:false - Issues -- count:false - Evaluating --- class:middle # Questions?


public class CircleCrossCalculator
extends java.lang.Object
First it iterates over all pixels in the edge pixel data and decides to calculate further only if the edge pixel value is higher then zero.
Then for every edge pixel a circle is drawn with the same origin coordinate as the edge pixel in the cross count table and the cross value table.
In the cross count table the count is increased by one to show that the circle crosses this pixel. These counts represent how often an edge circle crossed this pixel.
In the cross value table the value is increased by the intensity of the edge pixel to calculate the sum of intensity off all crossing edges pixel.
All pixels which have more or equal of the cross value and the cross count of the given reference circle reference cross value and cross count, the pixel is considered to be a circle candidate.
Finally for all circle candidate the average black value of the inner circle pixels is calculated. If the black value is higher oder equal the reference black value, the pixel is considered to be a circle finding.
| Constructor and Description |
|---|
CircleCrossCalculator(ReferenceCircle referenceCircle,
int[][] edgesDataArray,
PerfectCircleCoordinates circleCoordinates)
Create a CircleCrossCalculator for the given reference circle
and circle pixel coordinates to draw circles around every edge pixel in
the given edges data array and calculate count and the sum of intensity
of the edges pixels for every pixel in the resulting
CircleCalculationResultTable where circle pixels cross each
other.
|
| Modifier and Type | Method and Description |
|---|---|
CircleCalculationResultTable |
getResultTable()
Returns the calculated cross values and cross value counts for the
specified reference circle as an CircleCalculationResultTable
|
public CircleCrossCalculator(ReferenceCircle referenceCircle, int[][] edgesDataArray, PerfectCircleCoordinates circleCoordinates)
referenceCircle
- the reference circle for the resulting
CircleCalculationResultTableedgesDataArray
- the edges image data where for every edge pixel a circle is
drawn in the result tablescircleCoordinates
- the pixel data of the circle which is drawn around every edge
pixelpublic CircleCalculationResultTable getResultTable()


{% extends "layout.html" %} {% block content %}
Note that you can set up as many HasTwoParents.com email addresses as you need, for each of your children, within a single HasTwoParents.com account.
{% from "security/_macros.html" import render_field_with_errors, render_field %} {% include "security/_messages.html" %} Already have an account? Simply login. {% endblock %}


OSVR server
Start, Stop, or Restart the OSVR Server on this machine
Direct mode
Enable or disable direct mode, with optional vendor ID
OSVR applications
OSVR utilities and demo applications
UTILITIES
Tracker Viewer
The Tracker Viewer utility visualizes OSVR trackers and can be useful to check if an OSVR device is working properly.
Reset Yaw
Reset Yaw adds a transformation to the specified OSVR path (/me/head by default) to reset the forward direction to the current direction.
DEMOS
Loading sample application list...
{{sampleApp.name}}
{{sampleApp.description}}


{% extends "base.html" %} {% block signin %}
Fill the form below to signup in the system ;)
Please review your information and resend after correcting it.


16905214
Description: The site modeled on China's benefit network, for learning reference, not for commercial purposes. Produced by students
Links
158-5829-8995


Use this page to add new eligible workers to this HIT. A secret code will be automatically generated. You can use this dashboard to view which workers have successfully submitted the code. The same worker ID can appear more than once if you desire, each with a different unique code.
After they are added the worker will appear below with a given completion code.
This gives a general overview of your reimbursements. Status is either 'owed', 'submitted', or 'paid'. Once a worker's status is 'submitted' use the psiturk command line shell to assign bonuses.
Simply email the 'Completion Code' to a given worker. Along with instructions on how to find your HIT on the AMT site.
| # | Worker Id | Completion Code | Bonus | Status | Action |
|---|---|---|---|---|---|
| {{w.index}} | {{w.amt_worker_id}} | {{w.completion_code}} | {{"$%.2f" | format(w.bonus)}} | {{w.status}} |


About John
Hello! My name is John Landon and I specialize in creating user experiences through both design and front-end development. Growing up, I never considered myself "artistic" - creative yes, but never artistic. It wasn't until I discovered the endless possibilities of computer graphics that I became passionate about graphic design. This led me to Platt College where I earned my Associate Degree in Graphic Design and my B.S. in Web Design. This mixture of design and development gives me a unique understanding of the relationship between front-end and back-end that allows me to improve user experiences at every stage of the build process.
This GIF (like GIFT minus the T) shows the steps it took to create my surreal self portrait in Photoshop. I wanted it to represent things that I enjoy, the main theme being my split between love of all things water (water polo, the beach, showers) and all things fire (fireworks, bonfires, s'mores). Can you guess what else I like?


Migrations
Migrates the database using migration files found in the supplied directory.
NOTE: With integer migrations missing versions are not allowed.
An example directory structure might look like the following:
An example directory structure might look like the following:
NOTE:If you start with IntegerBased migrations and decide to transition to Timestamp
migrations the patio will attempt the migrate the current schema to the timestamp based migration
schema.
Example migration file
Consider the next example, its crazy but if you did not return a promise then the next migration would be applied after the Dataset#map call. In order to prevent the migration from continuing you must return a promise.
Integer Migrations
Integer migrations are the simpler of the two migrations but are less flexible than timestamp based migrations. In order for patio to determine which versions to use the file names must end in {versionnumber}.js where versionNumber is a integer value representing the version number.NOTE: With integer migrations missing versions are not allowed.
An example directory structure might look like the following:
-migrations - createFirstTables.0.js - shortDescription.1.js - another.2.js . . . -lastMigration.n.jsIn order to easily identify where certain schema alterations have taken place it is a good idea to provide a brief but meaningful migration name.
createEmployee.0.js alterEmployeeNameColumn.1.js
Timestamp Migrations
Timestamp migrations are the more complex of the two migrations but offer greater flexibility especially with development teams. This is because Timestamp migrations do not require consecutive version numbers, ,allow for duplicate version numbers(but this should be avoided), keeps track of all currently applied migrations, and it will merge missing migrations. In order for patio to determine the order of the migration files the file names must end in {timestamp}.js where the timestamp can be any form of a time stamp.//yyyyMMdd 20110131 //yyyyMMddHHmmss<PHONE_NUMBER>3940 //unix epoch timestamp<PHONE_NUMBER>
An example directory structure might look like the following:
-migrations - createFirstTables.1328035161.js - shortDescription.1328035360.js - another.1328035376.js . . . -lastMigration.n.jsIn order to easily identify where certain schema alterations have taken place it is a good idea to provide a brief but meaningful migration name.
createEmployee.1328035161.js alterEmployeeNameColumn.1328035360.js
Migration Files
Migration files are files with an up and down method.exports.up
The up function is called when applying the migration. The up function typically contains create and alter table statements. See Schema CRUD for more examples and operations that are available.exports.down
The down function is called when rolling back the migration. The down function typically contains drop and alter table statements. See Schema CRUD for more examples and operations that are available.Example migration file
//Up function used to migrate up a version exports.up = function(db) { //create a new table db.createTable("company", function() { this.primaryKey("id"); this.companyName(String, {size : 20, allowNull : false}); }); db.createTable("employee", function(table) { this.primaryKey("id"); this.firstName(String); this.lastName(String); this.middleInitial("char", {size : 1}); }); }; //Down function used to migrate down version exports.down = function(db) { db.dropTable("employee", "company"); };If you perform more complex actions from within the up or down block you should return a promise. Returning the promise will prevent the next migration from being applied until the promise resolves.
Consider the next example, its crazy but if you did not return a promise then the next migration would be applied after the Dataset#map call. In order to prevent the migration from continuing you must return a promise.
//Up function used to migrate up a version exports.up = function(db) { //create a new table var ret = new comb.Promise(); db.renameTable("employees", "employeesOld"); db.createTable("employees", function(table){ this.primaryKey("id"); this.firstName(String); this.lastName(String); this.hireDate(Date); this.middleInitial("char", {size:1}); }); db.from("employeesOld").map(function(employee){ return comb.merge(employee, {hireDate:new Date()}); }).then(function(employees){ db.from("employees").multiInsert(employees) .then(comb.hitch(ret, "callback"), comb.hitch(ret, "errback")); }, comb.hitch(ret, "errback")); return ret; }; //Down function used to migrate down version exports.down = function(db) { db.alterTable("employee", function(){ this.dropColumn("hireDate"); }); };
Running migrations
In order to run a migraton all one has to do is call
patio#migrate
Available options
- column : the column in the table that version information should be stored.
- table : the table that version information should be stored.
- target : the target migration(i.e the migration to migrate up/down to).
Integer migrator options
- current : the version that the database is currently at if the current version is not provided it is retrieved from the database.
var DB = patio.connect("my://connection/string"); patio.migrate(DB, __dirname + "/migrations").then(function(){ console.log("migrations finished"); });


org.bwapi.bridge.sal
Interfaces
Controller
Classes
ArbitratedManager
Arbitrator
Base
BaseManager
BuildingPlacer
BuildManager
BuildOrderManager
BuildOrderManager.BuildItem
ConstructionManager
ConstructionManager.Building
MorphManager
MorphManager.MorphUnit
ProductionManager
ProductionManager.ProductionUnit
ScoutManager
ScoutManager.ScoutData
SupplyManager
TechManager
UpgradeManager
UpgradeManager.Upgrade
WorkerManager
WorkerManager.WorkerData
Enums
ScoutManager.ScoutMode


1 HourBig Bear Lake, CA
This is the perfect solo tour to see the fish-filled Big Bear Lake. here you will also see many boutiques, gift shops, and restaurants. Make sure your phone is fully charged and ready to take some amazing pictures you will never want to forget. The tour is guided with one tour guide. This 60 minute tour will show you all that you need to see.
Wear comfortable shoes and clothing. There will be alot of walking and moving around. Bring water to stay hydrated. There will be restaurants and gift shops to stop in during the tour.
Candace Shirley
1 month ago
"Enjoyed this amazing time to relax and enjoy the beautiful view of Big Bear lake. I would recommend this tour if you don't know the area too well."
Ron Hilton
3 months ago
"A lot of walking and did not realize! Although I was tired, the views that I saw during the tour were absolutely astounding. My tour guide was really great and knowledgeable of the area."


[SYMBOL]
[A]
[B]
[C]
[D]
[E]
[F]
[G]
[H]
[I]
[J]
[K]
[L]
[M]
[N]
[O]
[P]
[Q]
[R]
[S]
[T]
[U]
[V]
[W]
[X]
[Y]
[Z]
Daemons
fetchmail
Data file metaformats
cookie-jar format
defined
DSV style
record-jar format
RFC 822 format
Unix textual file format conventions
Windows INI format
XML
Data vs. program logic
Data-driven programming
ascii
defined
fetchmailconf, metaclass hacking in
statistical spam filtering
date
dbx
dc
2nd
3rd
4th
5th
6th
Dead code
debugfs
Debugging
DEC (Digital Equipment Corporation)
2nd
3rd
4th
Defense Advanced Research Projects Agency (DARPA)
Delimiter-Separated Values (DSV)
Dependency derivation
design patterns
2nd
3rd
Designing for the future
Detachment, value of
df
diff
2nd
3rd
Discoverability
discoverability
2nd
3rd
4th
5th
6th
7th
Discoverability
discoverability
Discoverability
discoverability
2nd
Discoverability
discoverability
Discoverability coding for
designing for
Disruptive technology
ditroff
Diversity, rule of
2nd
3rd
DLL hell problem
DocBook
2nd
document type definitions
editing tools
migration tools
related standards/practices
SGML
toolchain
writing Unix documentation, best practices for
XML-DocBook references
Documentation
concepts
cultural style
formats
DocBook
2nd
Documenter's Workbench tools
HTML
POD (Plain Old Documentation)
TeX
Texinfo
troff
large-document bias
Documenter's Workbench (DWB) tools
2nd
3rd
Domain-specific languages
Don't Repeat Yourself rule
[See SPOT rule] Dormant code
DSV style
DTD (Document Type Definition)
DTSS
du
DVI (TEX Device-Independent format)
2nd
Dynamically-linked libraries (DLLs)
|


| Acquire |
{{ datasourceMetrics.acquire.count }} |
{{ filterNaN(datasourceMetrics.acquire.mean) | number : '1.0-2' }} |
{{ datasourceMetrics.acquire['0.0'] | number : '1.0-3' }} |
{{ datasourceMetrics.acquire['0.5'] | number : '1.0-3' }} |
{{ datasourceMetrics.acquire['0.75'] | number : '1.0-3' }} |
{{ datasourceMetrics.acquire['0.95'] | number : '1.0-3' }} |
{{ datasourceMetrics.acquire['0.99'] | number : '1.0-3' }} |
{{ filterNaN(datasourceMetrics.acquire.max) | number : '1.0-2' }} |
| Creation |
{{ datasourceMetrics.creation.count }} |
{{ filterNaN(datasourceMetrics.creation.mean) | number : '1.0-2' }} |
{{ datasourceMetrics.creation['0.0'] | number : '1.0-3' }} |
{{ datasourceMetrics.creation['0.5'] | number : '1.0-3' }} |
{{ datasourceMetrics.creation['0.75'] | number : '1.0-3' }} |
{{ datasourceMetrics.creation['0.95'] | number : '1.0-3' }} |
{{ datasourceMetrics.creation['0.99'] | number : '1.0-3' }} |
{{ filterNaN(datasourceMetrics.creation.max) | number : '1.0-2' }} |
| Usage |
{{ datasourceMetrics.usage.count }} |
{{ filterNaN(datasourceMetrics.usage.mean) | number : '1.0-2' }} |
{{ datasourceMetrics.usage['0.0'] | number : '1.0-3' }} |
{{ datasourceMetrics.usage['0.5'] | number : '1.0-3' }} |
{{ datasourceMetrics.usage['0.75'] | number : '1.0-3' }} |
{{ datasourceMetrics.usage['0.95'] | number : '1.0-3' }} |
{{ datasourceMetrics.usage['0.99'] | number : '1.0-3' }} |
{{ filterNaN(datasourceMetrics.usage.max) | number : '1.0-2' }} |


{% comment %} Rules Of Origin (RoO) Text Template for trade scenario TWUK_TA: For countries with a UK trade agreement, or EPA - but without continuing GSP (Generalised Scheme of Preferences) access, and for which TWUK has the Rules of Origin data. {% endcomment %}
The UK has a trade agreement with {{ country_name }}.
Goods must meet the rules of origin to benefit from preferential tariffs (where available).
{% block rules_of_origin %} {% include "hierarchy/_rules_of_origin_table_explainer.html" %} {% include "hierarchy/_rules_of_origin_table_data.html" %} {% endblock %}


Adding more to these views
Now we will explore more options for these views.
Key features:
- You can also link any column of a view with other views. All you need to do is to specify the local and reference view names and their respective column names. Refer to Statistics-->Applications-->Performance view for more details.
- You can also include dynamic columns in your views.
- Alternatively, you can directly save the XML profile by clicking on 'Save' on top right side of the results window.
- Once you have your XML profile, you need to place it in tableFunctions directory (in any sub directory or in any new directory). You can find this directory under TE base directory.
- Once the file is saved at proper location, you need to create a menu item in Technology Explorer.(Explained in next page)


 Sometimes you can get away with having a landing page that is all screenshots, but often you’ll find that beautiful imagery can lend more attractiveness and liveliness to a page.
In this post, we will talk about where to find good stock imagery for your landing page.
The Problem: License
Everyone knows that there are lots of beautiful images on the internet, but the biggest worry is permission. We need to know that the creator has given us permission to use it so that we don’t have to worry about any copyright or licensing issues.
Royalty-Free is Not Always Free
Some websites advertise royalty-free images, but what this means at a very basic level is just that you are not required to pay per each time that you use the image. That doesn’t mean that you won’t be required to pay for a license to use the image at all or maybe even a requirement to show attribution for the creator.
A Grand List
Here is a Reddit thread where many people have compiled a large list of free stock images that you can use without worry. Our personal favourites are Unsplash for nature and landscape photography and Pexels for everything else.
Size, Scale, and Resolution
A lot of these free images are super high in resolution. The best practice as of 2015 is to scale the image down to a width of 2058 pixels while maintaining the aspect ratio so the image doesn’t look skewed. If these are photographs, you should use JPEG compression to reduce the image size so that the image won’t take forever to load. Play around with it, but ideally an image size under 100kb would be ideal. For screenshots or anything with text in it, a PNG file is probably more suitable.
A Reminder About Text
Whenever you are using text in front of an image, it is very important to make sure you have enough contrast so that people can see and read the text easily. The most common issue is the display of white text on a relatively light photograph. In these cases, I would recommend darkening the image through an image editing program like GIMP or Photoshop.
Before: I can't read this!
After: Ahhh, much better.
Once we have our approriate images selected, we can move on to adding some persuasive text to our website.


Comments
-
Greg Hurrell
Licenses are case-sensitive and tied to the email address used at the time of purchase, so make sure you are using the serial number and email address exactly as they appear on your license notice. I recommend using copy and paste for obvious reasons.
If you're still having trouble send me an email (to<EMAIL_ADDRESS>and if necessary I can send you a screenshot showing what successful registration looks like.
The other possibility is that you might be using a very old serial number in a recent version of Synergy. If that is the case see this page.
-
Greg Hurrell
As I haven't heard back from you, I presume this issue is now resolved. Will mark as closed. Let me know if you need any more help.
-
Greg Hurrell
Status changed:
- From: new
- To: closed
Add a comment
Comments are now closed for this issue.


French paper: French woman claims rape by Polanski in 1975
PARIS (AP) - A French newspapers says a French woman in her early 60s claims she was raped at age 18 by Oscar-winning filmmaker Roman Polanski, who has been a fugitive from the U.S. for more than four decades since pleading guilty to a sex offense.
Le Parisien reported Friday that the woman alleges she was raped in 1975 at Polanski’s chalet in Gstaad, Switzerland, when she was 18.
It quotes Polanski’s lawyer, Herve Temime, as saying that Polanski “firmly contests” the allegation.
The attorney “deplored” that the claim is being made public shortly before Polanski’s latest film, “J’Accuse,” is being released in France. Le Parisien quotes the woman as saying the film triggered her decision to go public.
Polanski pleaded guilty in the U.S. in 1977 to having sex with a 13-year-old.
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Please read our comment policy before commenting.


Next: Internationalization, Previous: Filters, Up: Top [Contents][Index]
| • Template inheritance | ||
| • Template includes |
Next: Template includes, Up: Templates composition [Contents][Index]
The most powerful – and thus the most complex – part of Djula’s template engine is template inheritance. Template inheritance allows you to build a base “skeleton” template that contains all the common elements of your site and defines blocks that child templates can override.
You can also refactor independent template sections in their own file and include it in the main template, passing it the required arguments.
It’s easiest to understand template inheritance by starting with an example:
<!DOCTYPE html>   <link rel="stylesheet" href="style.css" /> <title>{% block title %}My amazing site{% endblock %}</title>
 {% block sidebar %}

Home

Blog

 {% endblock %}

 {% block content %}{% endblock %}

This template, which we’ll call base.html
, defines a simple HTML skeleton
document that you might use for a simple two-column page. It’s the job of
“child” templates to fill the empty blocks with content.
In this example, the block
tag defines three blocks that child
templates can fill in. All the block
tag does is to tell the template
engine that a child template may override those portions of the template.
A child template might look like this:
{% extends "base.html" %} {% block title %}My amazing blog{% endblock %} {% block content %} {% for entry in blog_entries %}
{{ entry.title }}

{{ entry.body }}
 {% endfor %} {% endblock %}
The extends
tag is the key here. It tells the template engine that
this template “extends” another template. When the template system evaluates
this template, first it locates the parent – in this case, “base.html”.
At that point, the template engine will notice the three block
tags
in base.html
and replace those blocks with the contents of the child
template. Depending on the value of blog_entries
, the output might look
like:
<!DOCTYPE html>   <link rel="stylesheet" href="style.css" /> <title>My amazing blog</title>

Home

Blog

Entry one

This is my first entry.

Entry two

This is my second entry.

Note that since the child template didn’t define the sidebar
block, the
value from the parent template is used instead. Content within a {% block %}
tag in a parent template is always used as a fallback.
You can use as many levels of inheritance as needed. One common way of using inheritance is the following three-level approach:
base.html
template that holds the main look-and-feel of your
site.
base_SECTIONNAME.html
template for each “section” of your
site. For example, base_news.html
, base_sports.html
. These
templates all extend base.html
and include section-specific
styles/design.
This approach maximizes code reuse and makes it easy to add items to shared content areas, such as section-wide navigation.
Here are some tips for working with inheritance:
{% extends %}
in a template, it must be the first template
tag in that template. Template inheritance won’t work, otherwise.
{% block %}
tags in your base templates are better. Remember,
child templates don’t have to define all parent blocks, so you can fill
in reasonable defaults in a number of blocks, then only define the ones
you need later. It’s better to have more hooks than fewer hooks.
{% block %}
in a
parent template.
{{ block.super }}
variable will do the trick. This is
useful if you want to add to the contents of a parent block instead of
completely overriding it. Data inserted using {{ block.super
}}
will not be automatically escaped (see the next section), since
it was already escaped, if necessary, in the parent template.
{% endblock %}
tag. For example:
{% block content %} ... {% endblock content %}
In larger templates, this technique helps you see which {% block %}
tags are being closed.
Finally, note that you can’t define multiple block
tags with the same
name in the same template. This limitation exists because a block tag works in
“both” directions. That is, a block tag doesn’t just provide a hole to fill –
it also defines the content that fills the hole in the parent. If there were
two similarly-named block
tags in a template, that template’s parent
wouldn’t know which one of the blocks’ content to use.
Previous: Template inheritance, Up: Templates composition [Contents][Index]
include
loads a template, renders it with the given (optional) variables and inserts its content into the calling template.
For example, we have this first template that renders a list of blog entries:
{% for entry in blog_entries %}
{{ entry.title }}

{{ entry.body }}
 {% endfor %}
During development, we realize that rendering a blog entry is more convoluted than first planned, so we want to refactor the blog entry template logic in its own file. And most of all, we plan on rendering a blog entry on another part of the site, so we want to re-use the rendering logic.
We create a new template in includes/blog-entry.html
and we use the {% include %}
template tag, giving it an entry object as argument:
{% for entry in blog_entries %} {% include "includes/blog-entry.html" :entry entry %} {% endfor %}
See also the ssi
tag for Server-Side Includes.
Previous: Template inheritance, Up: Templates composition [Contents][Index]


Originally answered on Quora- How is B.Tech. in Bioengineering program at IIT Jodhpur with respect to faculty, internship, and student exchange programs?
B.Tech. in Bio engineering (formerly Biotechnology) at IITJ has seen its first undergraduate batch in 2018. As I’m writing this, it makes the senior most batch of this branch in sophomore year. Many things are yet to happen to its first batch itself to which respect they can narrate the know-hows to the world. But still, now that the question is here, I’d give it a go.
Till 2018, IITJ offered only M.Tech. and PhD programs in Bioscience and Bioengineering. The state-of-the-art research infrastructure and satisfactory output from the department are supposedly a few reasons which might have forced the academic administration to start offering B.Tech. program in Biotechnology since last year.
As stated on IITJ website also- The Department of Bioscience & Bioengineering aspires to cater to the technological requirements of the country by conducting high-quality, translatable research and by training our students to be technological innovators in Biological sciences. The research effort of the Department is focused on developing solutions in the areas of healthcare, the environment and agriculture.
This program is designed in accordance with current industrial demand rectifying any chance of passing on obsolete technological approaches and solutions. So don’t let anyone teach you that Indian engineering institutes which offers biotechnology train their students with 4 thousand year old technology and all. Mind it!
Faculty Members: Faculty Members of the department are highly qualified in their fields of expertise which is evident by their over-the-top accomplishments and research papers. They pursue complex biological questions in the fields of Microbiology, Systems & Computational Biology, Biomaterials & Biomechanics, and Biological Processes & Bio-Devices. Cancer research has got quite a moot among the bt-minds of IITJ these days. A team from our department even got their paper published in Nature!
If you ask me, I’d say in last two semesters biology lectures had been the most interactive and interesting of all. You sure would learn a lot more values from them than biology concepts.
Opportunities: The Department actively collaborates with other Departments of the Institute and with other Institutions of higher learning in and around Jodhpur to maximize research and teaching outcomes. Faculty Members of the Department have active collaborations with colleagues from many prestigious institutes from India and beyond. Just to name some-
- King George’s Medical University Lucknow
- Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow
- CSIC-UAM, Universidad Autónoma de Madrid, Spain
- Johann Wolfgang Goethe-Universität Frankfurt, Germany
- Indian Institute of Technology Madras
- All India Institute of Medical Sciences, Jodhpur
- Indian Institute of Technology, Kharagpur
- Board of Research in Nuclear Sciences, Mumbai
- Institute of Bioinformatics and Applied Biotechnology, Bangalore
- Advanced Centre for Treatment, Research & Education in Cancer (ACTREC)
- Tata Memorial Centre, Mumbai
- Rajiv Gandhi Centre for Biotechnology, Trivandrum
- University of North Carolina at Chapel Hill, USA
- Indian Institute of Technology Bombay
- Riken Brain Science Institute, Japan
- Nagoya University, Japan
- National Brain Research Centre, Gurgaon
- International Centre for Genetic Engineering and Biotechnology, New Delhi
- Christian Medical College, Vellore
- Vellore Institute of Technology, Vellore
- Madurai Kamaraj University, Madurai
- University of Kansas Medical Center, Kansas City, USA
- Indian Statistical Institute, Kolkata
- Friedrich-Alexander-University of Erlangen-Nürnberg, German
That opens up plethora of opportunities for students associated with BSBE department of IITJ. Recently, IITJ has signed a MoU with NAIST, JAPAN to facilitate academic exchanges, student exchanges, higher studies and internship opportunities.
As far as after-graduation opportunities are concerned- opportunities in corporate sector based on India are less (comparatively). That’s because it’s still emerging field in India and there is so much yet to do in Indian biotech industry. Biotech firms in India are not putting enough funds into R&D consequently clogging the technology of 21st century to flourish as it should have been. For example, Pharmaceutical companies in India just tend to produce patented drugs most of the time, giving rest to their research labs. But again…if biotech is not a good field , Kiran Mazumdar Shah wouldn’t be a billionaire. Whilst in countries like China, the USA, etc. there are good…no..great opportunities. They’re doing great at it!
Now a question hits- Why is the pace of development in biotechnology slow in India? [a question asked by me on Quora]. In response to my comment under an answer on the same question lies the possible explanation-
Me- These arguments suggests that biotech sort-of ‘exist’ in India. I’m pursuing B.Tech. in biotechnology. And what I have realized is that most of the people in India who are in bioscience and bioengineering are only into it because they’ve got no option but to go in pursuit of that only. Like when I asked my seniors (from other IITs) about future prospects of B.Tech. in biotechnology, hardly anyone has told me about future in ‘Biotechnology’ as such.  Whilst in countries like the USA, its condition is equivalent to what Computer Science and Engineering or Information Technology is in India. Why is that?
Ruptanu Banerjee- It’s simply because the curriculum designed for Biotechnology is not fit for a so called “9-to-5” jobs like those of IT sectors. A company with IT/CS engineers are expected to do the job they are assigned by their superiors in a particular time-frame. The same is not true for a biotech job. There are n number of factors which can affect any experiment/process any time. Yeah, it is true that there is a number of students who are willing to go for a non-core job or administrative job. The situation is not the same with USA or EU to some extent. It will be vague to assume that all bachelor degree holders in those countries are getting a biotech core job immediately after their 10+2+3/4.
I leave rest over to you to develop your own perception about it. So that’s that for corporate jobs. Now if you are one of the inquisitive kinds, research is the way to go! And once you have your roots in the core biology, there’s no stopping you! Even Govt.of India offers a stipend amount to do M.Tech. and PhD in biotechnology. “It ain’t much, but it’s honest work” type stipend*.* Still, doing further studies from abroad is encouraged.
Perks:
- Being the first batch of B.Tech. program, direct mentoring from the professors has always been a plus point for us. 2019 batch is no different just a bunch of seniors extra to pick you up in the flow!
- Awesome seniors (like me :P)
- Active Biotech club [check Bio1ixir]
- Other features of 4-year B.Tech. in Bioengineering (formerly B.Tech. in Biotechnology) are as following-
i. Option of 4 - year B.Tech. with Department Specialization in
- Smart Health care
- Production realization
ii. Option of 4 - year B.Tech. with Interdisciplinary Specialization in
- Artificial Intelligence (AI) [WOW!]
- Data and Computational Science
- Cognitive Science
iii. Option of 4 - year B.Tech. with Minor in
- Management
- Entrepreneurship
iv. Option to convert B.Tech. into 5-year B.tech. + M.Tech. Dual Degree in 7th semester with M.Tech. in Bio-Engineering
Words of advise: Don’t let yourself consumed by inferiority complex for not getting desired college/branch. In coming years, you’d be glad that you got bio engineering even at such high rank!
Attaching some posters for your reference-
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Gateway
BOT
27-Aug-18 11:21 AM
[dscrdeql] <AndronicusBass-Founder> much of discord is in the crypto world lately
[dscrdeql] <Jellysmash> pump eeet...those twitter followers
[dscrdeql] <Jellysmash> lol
[dscrdeql] <Jellysmash> much of crypto is in the discord world lately. ....as well
[dscrdeql] <Jellysmash> @ghøst mondays are hard
[dscrdeql] <Jellysmash> quiet ...yea...but very busy
[dscrdeql] <Jellysmash> and tiring
[dscrdeql] <SwimedDragon> I'm trying to do some other stuff now it's more quiet on discord
[dscrdeql] <SwimedDragon> Easier to cut discord time when it's quiet
[dscrdeql] <AndronicusBass-Founder> I just make sure Im around as much as possible
[dscrdeql] <SwimedDragon> It's nice to have notifications, but I have turned the sound off because it alway's interupts in the music I listen
[dscrdeql] <SwimedDragon> Not many new people these day's, and even the folks that came for the rains seem to have left
[dscrdeql] <AndronicusBass-Founder> Sound notifications are pointless if you are on may servers lol. constant dinging
[dscrdeql] <SwimedDragon> I'm not sure if you can turn them off for each server, but I just did for all
[dscrdeql] <AndronicusBass-Founder> Yeah in discord settings
[dscrdeql] <SwimedDragon> Ah I see, thanks Can even turn off the @ here/everyone messages
[dscrdeql] <SwimedDragon> Not doing that, but I have to say those taggs are overused in many servers
[dscrdeql] <SwimedDragon> Only reason I'm not turning those taggs off is because you can miss important messages, but most are voting and bounty reminders
[dscrdeql] <SwimedDragon> And some servers even post it 2 or even 3 times in different rooms, same message
[dscrdeql] <SwimedDragon> Like they have a twitter room for twitter stuff, and an announcement room. They will post twitter announcements in both, really annoying at times
[dscrdeql] <SwimedDragon> I did some cleaning up on discord servers, left the most annoying ones
[dscrdeql] <SwimedDragon> Are you often watching discord while it has no chats?


Home
Accomodations
Activities
Contact Information
Travel Arrangements
Welcome to the Kahala Resort & Spa!
A luxury accomodation on the island of Honolulu


Optional monthly subscription
You haven’t subscribed, so you won’t be charged a monthly amount
£0 / month
This is how much you’ll pay for your monthly subscription
£4.5 / month
All 3 people will be included in the subscription
Your monthly subscription is packed full of benifits:
- Cover in the event a trip you have booked needs to be cancelled
- Cover in case a trip you are on needs to be cut short
Did you know that 53% of all travel insurance claims are made because trips are cancelled or cut-short? Make sure you cover your holiday costs and don’t leave yourself at risk.
What's included?£1000


World Wire enables a network of geographically-dispersed payment providers to exchange value around the globe in seconds using blockchain-based digital assets for near real-time settlement.
Our API is based on widely understood RESTful concepts. All requests and responses are formatted in JSON as you'd expect.
World Wire has two different networks: Staging and Production. We use JWT for authentication, and both environments are hosted on separate architecture, meaning data does not flow between them. We've spent a lot of time making sure we get security right while keeping the onboarding experience nice and simple!
Staging
The first step of your journey is to jump into the Staging network. You'll be provisioned two nodes in order to simulate two Participants transacting on the World Wire network. When you're ready to get started, continue to the
{{'Onboarding'}}
section to contact us!
Production
Ladies and gentlemen, start your engines! Once you've proven your technology, we'll consolidate you onto a single node on the Staging network which will be a mirror of what we'll deploy into the Production network. The final steps involve a technology certification process conducted by our Onboarding team, to make sure everything's in order. You'll be transacting with real value in no time!
If you encounter a problem or have a question, it's easy to contact World Wire support. Simply visit our Support portal and login with your IBM ID. If you're an existing client, you'll be able to open a case, which an agent will promptly respond to, otherwise you'll be prompted to create your IBM ID.


In order to get the latest version please visit Entersoft AngularJS Web API. For the documentation please visit API Reference.


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.jk.core.Msg
A single packet for communication between the web server and the container. In a more generic sense, it's the event that drives the processing chain. XXX Use Event, make Msg a particular case.
| Constructor Summary | |
Msg()
|
| Method Summary | |
abstract void |
appendByte(int val)
|
abstract void |
appendByteChunk(ByteChunk bc)
|
abstract void |
appendBytes(byte[] b,
int off,
int numBytes)
Copy a chunk of bytes into the packet, starting at the current write position. |
abstract void |
appendBytes(MessageBytes mb)
|
abstract void |
appendInt(int val)
|
abstract void |
appendLongInt(int val)
|
abstract void |
dump(java.lang.String msg)
|
abstract void |
end()
For a packet to be sent to the web server, finish the process of accumulating data and write the length of the data payload into the header. |
abstract byte[] |
getBuffer()
|
abstract byte |
getByte()
|
abstract int |
getBytes(byte[] dest)
Copy a chunk of bytes from the packet into an array and advance the read position past the chunk. |
abstract void |
getBytes(MessageBytes mb)
|
abstract int |
getHeaderLength()
|
abstract int |
getInt()
Read an integer from packet, and advance the read position past it. |
abstract int |
getLen()
|
abstract int |
getLongInt()
Read a 32 bits integer from packet, and advance the read position past it. |
static java.lang.String |
hexLine(byte[] buf,
int start,
int len)
|
abstract byte |
peekByte()
|
abstract int |
peekInt()
|
abstract int |
processHeader()
|
abstract void |
reset()
Prepare this packet for accumulating a message from the container to the web server. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public Msg()
| Method Detail |
public abstract void reset()
public abstract void end()
public abstract void appendInt(int val)
public abstract void appendByte(int val)
public abstract void appendLongInt(int val)
public abstract void appendBytes(MessageBytes mb) throws java.io.IOException
java.io.IOException
public abstract void appendByteChunk(ByteChunk bc) throws java.io.IOException
java.io.IOException
public abstract void appendBytes(byte[] b, int off, int numBytes)
b
- The array from which to copy bytes.off
- The offset into the array at which to start copyingpublic abstract int getInt()
public abstract int peekInt()
public abstract byte getByte()
public abstract byte peekByte()
public abstract void getBytes(MessageBytes mb)
public abstract int getBytes(byte[] dest)
public abstract int getLongInt()
public abstract int getHeaderLength()
public abstract int processHeader()
public abstract byte[] getBuffer()
public abstract int getLen()
public abstract void dump(java.lang.String msg)
public static java.lang.String hexLine(byte[] buf, int start, int len)
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


github: github.com/mensfeld
www: mensfeld.pl
twitter: @maciejmensfeld
e-mail<EMAIL_ADDRESS>Talk to me about:
Karafka, Kafka, Ruby, Poland, System Architecture, High throughput data processing,
dry-rb, Trailblazer, TCP, Ruby on Rails or anything else TBH :)
Event-driven architecture (EDA), is a software architecture pattern promoting the production, detection, consumption of, and reaction to events.Image source: Wiki
In object-oriented and functional programming, an immutable object (unchangeable object) is an object whose state cannot be modified after it is created.Image source: Wiki
Domain-driven design is an approach to developing software for complex needs by deeply connecting the implementation to an evolving model of the core business concepts.Image source: DDD Community
Instead of focussing on current state, you focus on the changes that have occurred over time. It is the practice of modelling your system as a sequence of events.Image source: Dev.to
The Saga pattern describes how to solve business transactions (...) in distributed systems. The basic idea is to break the overall transaction into multiple steps. (...) the overall consistency is taken care of by the Saga.
| Event type | Params |
|---|---|
| Item added | { cart_id: 1, item: 'Book about Erlang' } |
| Item added | { cart_id: 1, item: 'Book about Ruby' } |
| Item removed | { cart_id: 1, item: 'Book about Ruby' } |
| Item | Quantity |
|---|---|
| Book about Erlang | 1 |
| Book about Ruby | 2 |
Image source: Joel Semeniuk article
You may not yet be aware of future use-cases of the data you now possess.
Image source: Twitter
Consumer group is a set of consumers sharing a common group identifier.
Img source: Apache Kafka for service architecture
Img source: Ben Stopford's talk
If an instance of a service dies, data is redirected and ordering guarantees are maintained.
Img source: Ben Stopford's talkImg source: Ben Stopford's talk
We've needed a tool that would allow us to:
Because:
aren't business logic
Karafka core is combined from few logical parts:
# Gemfile
source 'https://rubygems.org'
gem 'karafka'
bundle install
bundle exec karafka install
Update karafka.rb with your configuration settings and run:
bundle exec karafka server
All the configutation options are described here:
github.com/karafka/karafka
Everything is being validated to ensure you won't do anything stupid
class KarafkaApp < Karafka::App
setup do |config|
config.client_id = 'my_application'
config.backend = :inline
config.batch_fetching = true
config.batch_consuming = true
config.kafka.seed_brokers = %w[kafka://<IP_ADDRESS>:9092]
config.shutdown_timeout = -1
end
end
class KarafkaApp < Karafka::App
setup do |config|
config.kafka.seed_brokers = %w[kafka://<IP_ADDRESS>:9092]
config.client_id = 'example_app'
end
end
Routing engine
It provides an interface to describe how messages from all the topics should be fetched and how they should be consumed.
KarafkaApp.consumer_groups.draw do
consumer_group :group_name do
topic(:videos_created) { consumer VideosConsumer }
topic :binary_video_details do
consumer BinaryConsumer
parser Parsers::BinaryToJson
responder BinaryVideoProcessingResponder
batch_consuming true
end
end
end
Not much needed to be done, if you work with JSON data:
KarafkaApp.consumer_groups.draw do
consumer_group :commit_builds do
topic(:builds_created) { consumer CreateBuildsConsumer }
topic(:builds_done) { consumer UpdateBuildConsumer }
topic(:builds_expired) { consumer ExpireBuildConsumer }
end
end
class CreateVideosConsumer < Karafka::BaseConsumer
def consume
params_batch.each do |params|
respond_with Video.create!(params[:video])
end
end
end
Responders help preventing bugs when you design a receive-respond applications that handle work on multiple incoming and outgoing topics
class ExampleResponder < ApplicationResponder
topic :users_notified
def respond(user)
respond_to :users_notified, user
end
end
bundle exec karafka [COMMAND]
karafka console
karafka flow
karafka help [COMMAND]
karafka info
karafka install
karafka server
commit_builds_imported =>
- commit_builds_scheduled: (always, one or more)
commit_builds_processed =>
- commit_builds_copied: (always, one or more)
sources_received =>
- commit_builds_imported: (always, exactly once)
repositories_created => (nothing)
repositories_deleted => (nothing)
repositories_updated => (nothing)
repositories_tiers_updated => (nothing)
During a message or a batch lifecycle within Karafka framework, there are two crucial moments:
Depending on your application and/or consumer group settings, Karafka's consumer can consume messages in two modes:
class TweetsConsumer < Karafka::BaseConsumer
def consume
tweets = params_batch
.map { |params| params.fetch('video') }
.map { |params| Tweets::New.call(params)['model'] }
Tweets::Import.call tweets
end
end
class TweetsConsumer < Karafka::BaseConsumer
def consume
Tweets::Create.call(params.fetch('video'))
end
end
Messages inside a batch are lazy parsed upon the first usage
IGNORE_LIMIT = 60 # 1 minute
def consume
params_batch.to_a.each do |unparsed_event|
# Ignore messages that were created long ago
limit = Time.now - IGNORE_LIMIT
next if unparsed_event.create_time < limit
EventReactor.call(unparsed_event.parse!)
end
end
BUFFER_SIZE = 1000
def consume
buffer << params_batch.map { |param| param.fetch('event') }
if buffer.size >= BUFFER_SIZE
data = buffer.shift(BUFFER_SIZE)
Event.import_batch(data)
end
end
def buffer
@buffer ||= []
end
Imagine a transaction that lasts across thousands of requests
Transaction for which you need no new persistence layer until you get all the data you need
buffer = []
customer_id = 1
params_batch.each do |params|
next unless params['customer_id'] == 1
case params.fetch('type')
when 'added_to_cart'
buffer << params
when 'completed_purchase'
Events.import(buffer)
consumer.mark_message_as_processed(params)
buffer = []
end
end
Karafka uses dry-monitor as an instrumentation layer to which you can easily hook up with your own listeners. You can use it to develop your own monitoring and logging systems
key = 'params.params.parse.error'
KarafkaApp.monitor.subscribe key do |event|
puts "Oh no! An error: #{event[:error]}"
end
if KarafkaApp.env.production?
KarafkaApp.monitor.subscribe(AirbrakeListener)
KarafkaApp.monitor.subscribe(DataDogListener)
KarafkaApp.monitor.subscribe(LogstashListener)
else
KarafkaApp.monitor.subscribe(StdoutListener)
end
You can deploy and run Karafka on various platforms using:
Some Kafka cloud providers require topics to be namespaced with a username. This approach is understandable, but at the same time, makes your applications less provider agnostic.
To target that issue, you can create your own topic mapper that will sanitize incoming/outgoing topic names, so your logic won't be bound to those specific versions of topic names.
class KarafkaTopicMapper
def initialize(prefix)
@prefix = prefix
end
def incoming(topic)
<EMAIL_ADDRESS>'')
end
def outgoing(topic)
<EMAIL_ADDRESS>end
end
mapper = KarafkaTopicMapper.new('maciej')
mapper.incoming('maciej.my_super_topic') #=> 'my_super_topic'
mapper.outgoing('my_other_topic') #=> 'maciej.my_other_topic'
# Rails create action
def create
@user = User.create(user_params)
if @user.valid?
WaterDrop::AsyncProducer.call(@user, topic: 'users')
end
respond_with @user
end
ENV['RAILS_ENV'] ||= 'development'
ENV['KARAFKA_ENV'] = ENV['RAILS_ENV']
require ::File.expand_path('../config/environment', __FILE__)
Rails.application.eager_load!
Because Karafka acts a message transportation layer, it works really great with other modern Ruby solutions including:
Example integration with Trailblazer + Reform
class CommitBuildsCopyController < KarafkaController
def perform
CommitBuilds::Copy.call(
params_batch.map { |params| params.fetch('value') }
)
end
end
Problem: based on some internal events we need to set HTTP events to our customers
What if we could:
In the fall of 2017, Yahoo announced that all their users (3 billion accounts) were hacked. Equifax announced that credit information and personal information for 143 million consumers was exposed. Dropbox announced in 2016 that 68 million user accounts were compromised.
Our approach to compromise prevention is simple: fully understand the behavior patterns of your user base at every level, and use that understanding to stop any unauthorized entities accessing accounts in real time.
While hackers might have an easy time obtaining credentials to log into a user account, mimicking all behaviors of a stolen user account at all points in an application is virtually impossible, for even the most experienced hacker.
Device level signals:
IP, browser, user agent, language, device type, screen resolution, battery level, plugins
UI interactions:
Mouse movements, keystrokes, touch interactions, site navigation, user details and attributes
We use all these signals to create a holistic devices fingerprints in real time, every time the user interacts with the application.
The fingerprints serve as building blocks for our behavior models, and anytime there is a single change to the fingerprint our dynamic risk scores are updated accordingly in real time via asynchronous call.
We're currently working on a 1.3 release:


AWS postgresql remote host connection
2013-11-05
To connect and run PostgreSQL database for istsos in AWS ubuntu 12.04. As per istsos tutorial, specifying localhost in database credentials says the database is inactive and subsequent service creation will end up in error, saying the wrong database the PostgreSQL TCP/IP connection and access credentials has to change.
have to edit
sudo nano /etc/postgresql/9.1/main/postgresql.conf
file with linelisten_addresses ‘localhost’
tolisten_addresses ‘*’
andsudo nano /etc/postgresql/9.1/main/pg_hba.conf
file line ipv4 section IP address tohost all all <IP_ADDRESS>/0 md5
the line#host all all <IP_ADDRESS>/32 md5
has to be uncomment as above.then PostgreSQL has to be restarted by this comment
/etc/init.d/postgresql Restart
the aws security group also has to be changed for a credential for port number 5432 with allowable ip address. and the port for PostgreSQL is the AWS instance name given by AWS
based on
- https://github.com/snowplow/snowplow/wiki/Setting-up-PostgreSQL
- http://hackgeo.com/cloud-computing/amazon-web-services/configuring-postgresql-9-1-and-postgis-2-on-ubuntu-12-04-in-amazon-aws
- http://askubuntu.com/questions/50621/cannot-connect-to-postgresql-on-port-5432
- http://www.cyberciti.biz/faq/postgresql-remote-access-or-connection/


Erica Kait Creative
Allison + Eric
Smith Rock - Bend, OR
Engagement Session - April 2017
I have been waiting for literally months to post this Smith Rock engagement session! Allison, Eric and their pup Nico travelled down to Bend with my husband and I for some rock climbing and photo taking. We decided to wake up bright and early for sunrise at Smith Rock State Park for their engagement session - what we didn't count on is how cold sunrise in April can be. These two powered through the chill and we watched the sun come up over the red cliff faces. It was an epic morning full of love and puppy snuggles.
Allison and Eric asked me to keep this photoshoot under wraps until after their elopement in August. It was so hard to sit on such a beautiful shoot, but it makes it extra exciting to finally be able to post these photos. Sunrise shoots are always worth the cold and early wake up time in my book. This has to be one of my favorite Oregon spots!


Fulbright Scholarships in Colombia between 1950 - 2015
To show the evolution of the scholarships granted by the Fulbright Foundation since 1958 in order to identify the growing of them based on the new management and the subscriptions of new agreements
To search the distribution and diversity of the socio-demographic features of the Fulbright Foundation scholarships for taking into account aspects such as university, educational level, gender and geographical region where people come from.
To find the strength of the relationships between Colombian and Americans universities in order to suggest which should be the better strategy for each agreement.


Jeremy David Ward is a cellist whose musical inspiration and repertoire spans from Renaissance dance music to the post-tonal works of Saariaho and Dutilleux. As a performer of early bass instruments, he is a founding member of the 16th and 17th century brass and strings ensemble Rook. Rook has performed at the Boston and Madison Early Music Fringe Festivals. It was also chosen to participate in Carnegie Hall’s Professional Training Workshop with L’Arpeggiata.
The group recently held a weekend residency at Oberlin College Conservatory of Music and anticipates the release of its premier album, eleven, later this year. Jeremy also enjoys musicking with other early music ensembles such as Three Notch’d Road and The Newberry Consort, where he has performed with early music luminaries Bruce Dickey, Paige Whitley-Bauguess and Tom Zajac. He is also a member of the Newberry Violin Band.
His contemporary music collaborations have included performances with Chicago new music groups Eighth Blackbird and Dal Niente as well as Chicago Opera Vanguard and members of the Pacifica Quartet. He was also a member of the ensemble Oberlin 21, with whom he recorded works of Debussy and Takamitsu with harpist Yolanda Kondonassis on the Telarc label. He is a graduate of Oberlin Conservatory of Music and Northwestern University’s Bienen School of Music. Jeremy currently lives in and loves the great city of Chicago.


Former Nottingham Forest striker shows he can still cut it with late winner
Nottingham Forest latest - Murphy departed the City Ground at the end of last season after being released following two years at the club.
by PA, Jamie KembleBolton have wiped out their points deduction after former Nottingham Forest striker Daryl Murphy's stoppage-time winner saw off 10-man MK Dons 1-0.
The victory made it a third straight win for Wanderers - who started the campaign on -12 points after going into administration - and moved them on to one point for the campaign, 12 points from safety.
MK Dons appeared to have done enough to stop their three-match losing run when goalkeeper Lee Nicholls saved Murphy's 90th-minute penalty.
But three minutes into added time, Murphy turned in Thibaud Verlinden's cross to take Wanderers from negative numbers into the black.
Nottingham Forest latest
This is your round up of all things Forest; the one-stop shop that will keep you updated on the latest goings on at the City Ground and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Reds throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Championship is 'there for the taking'
- Clear message issued over reported striker target
- Tendayi Darikwa gives Forest injury boost
For all your latest NFFC news, opinion, analysis and transfer gossip, click here
You can follow our Reds reporter Sarah Clapson on Twitter, and her email address is<EMAIL_ADDRESS>MK Dons had been reduced to 10 men with 24 minutes left when George Williams was adjudged to have swung an arm at Verlinden.
Murphy, who left Forest on a free at the end of last season after two years, has made six league appearances for Bolton, scoring three times.


About Phonon Pizza
A light weight, scalable, flexible and customizable Pizza - Hybrid Romand and Neapolitan
Working with a pizza manager / router inspired by la Pizza della Nonna
Support Pineapple / Gluten-free dough
Sauce and Dough are based on best ingredient specs


{{- with .Description }} {{- else -}} {{- with .Site.Params.description }} {{- end -}} {{- end }} {{- range .AlternativeOutputFormats }} {{- end }} {{/* Get normalize.css first */}} {{- $normalize_css_filepath := "css/normalize.css/normalize.css" -}} {{- $css_files := slice (resources.Get $normalize_css_filepath) -}} {{/* Parse SCSS files */}} {{- $blogpaper_scss_filepath := "css/blogpaper.scss" -}} {{- $scss_files := slice (resources.Get $blogpaper_scss_filepath) -}} {{- $scss_files := $scss_files | append (where (resources.Match "**.scss") ".Name" "!=" $blogpaper_scss_filepath) -}} {{- range $scss_files -}} {{- $css := . | resources.ExecuteAsTemplate .Name . | toCSS (dict "outputStyle" "compressed") -}} {{- $css_files = $css_files | append $css -}} {{- end -}} {{/* Concat and link CSS files */}} {{- $css := $css_files | resources.Concat "main.css" | minify | fingerprint "sha512" -}}


@* * This template is called from the `index` template. This template * handles the rendering of the page header and body tags. It takes * two arguments, a `String` for the title of the page and an `Html` * object to insert into the body of the page. *@
@* Here's where we render the page title `String`. *@


A map of a node's known (currently connected, and previously connected)) nodes, including itself. Here we use a Map, because we anticipate frequent lookups based on given NodeIndexs. We also expect 'frequent additions and removals of key-value pairs'
Properties:
| Name | Type | Description |
|---|---|---|
@keys |
module:Serl.NodeIndex | Keys in the Map should be of this type. |
@values |
described | Values in the Map should be
of the form |
counter |
Serl.NodeIndex | module:Serl.'Node#nodeMap'.counter |
Members
(static) this.nodeMap.counter
This helps us avoid duplicate Serl.NodeIndexs on the local node, when generating a Pid.
Each node must track all previously known nodes, and so we want an incrementing counter, to ensure that for any single lifetime of a node, N, every other node that ever connects to N, has a unique NodeIndex from N's point of view.
In the current implementation, the upper limit of trackable nodes connected to N in one lifetime seems to simply be the size of Node.nodeMap.counter. Here we impose a convention where the local node is index=0
Properties:
| Name | Type | Description |
|---|---|---|
module:Serl.'Node#nodeMap'.counter |


Reset Params
Consumer group has active member(s), so resetting offsets might fail and lead to unexpected results!
Offsets have been successfully reset!
Please note, that it might take some time to reflect actual offsets on UI.
Please note, that it might take some time to reflect actual offsets on UI.


Documentation 1.0.5
A simple to use jQuery plugin as powerful alternative to the HTML <select> tag
View on GitHub
Download .zip
Download .tar.gz


Mardizza UI Kit
Colors
Form
Buttons
Input fields
Navigation
Pagination
Nav tabs
Typography
Text
Paragraph:
Milk kopi-luwak saucer decaffeinated in french press milk. Siphon, aroma blue mountain, filter, latte, milk rich acerbic galão java. Roast beans, ristretto cappuccino et irish doppio, spoon breve to go percolator carajillo. Mocha americano plunger pot sugar steamed dark wings. Irish caffeine shop, spoon, that irish, MCB decaffeinated plunger pot spoon. Single shot cream coffee, id arabica so lungo spoon grinder. In trifecta white crema aftertaste saucer steamed. Percolator iced instant breve grinder coffee rich roast breve americano. Crema, and, qui, beans extraction milk a extraction.
Icons
Feedback
Notifications
Test notifications:
Dialogs
Test dialog windows:
Flexgrid
Nestable columns
Responsive columns
Miscellaneous
Block
Barista saucer steamed body and steamed cultivar fair trade. Robusta, mazagran rich aroma percolator cortado french press. Java siphon galão, so, fair trade mazagran barista cream so half and half lungo. Siphon, white variety dripper siphon qui, macchiato organic espresso turkish carajillo flavour.
Tooltip
Need help? Hover over this icon:
Filters
Test filters:
- Tomato
- 9.50€
Available filters:


public interface HotCompiler
A HotCompiler is registered to a HotReloader through
HotReloader.addCompiler(compiler, reload, srcDirs)
.
The source files for the compiler are those under the srcDirs
and matching
the PathMatcher
.
When source files are created/updated/deleted, the changes are fed to the
compile(createdFiles,updatedFiles,deletedFiles)
method for recompilation. There is also a
compile(allFiles)
method for recompiling all source files.
A HotCompiler usually compiles source files to output files. However it may do something else, e.g. update an external device after a source file is updated.
An implementation of HotCompiler can be stateful, and not thread-safe.
A HotCompiler instance should not be shared, i.e. it should not be used in multiple
addCompiler()
calls.
| Abstract Methods | |
|---|---|
PathMatcher |
getPathMatcher()
The PathMatcher for source files.
|
void |
compile(Consumer<CharSequence> msgOut,
Set<Path> allFiles)
Compile all source files.
|
void |
compile(Consumer<CharSequence> msgOut,
Set<Path> createdFiles,
Set<Path> updatedFiles,
Set<Path> deletedFiles)
Compile changed source files.
|
PathMatcher getPathMatcher()
Only those files under the srcDirs
will be fed to this PathMatcher;
only those approved by this PathMatcher are source files for this compiler.
An example PathMatcher:
FileSystems.getDefault().getPathMatcher("glob:**.java")
.
FileSystem.getPathMatcher(String)
void compile(Consumer<CharSequence> msgOut, Set<Path> allFiles) throws Exception
This method is usually called in the initial phase of the HotReloader. It may also be called whenever the HotReloader thinks necessary.
The compiler does not necessarily do a clean build. For example, it may compare timestamps of source files and output files, skip source files that are older than the output files.
msgOut
- for diagnosis messages; see HotReloader.getMessageOut()
Exception
- if compilation fails; the exception message usually contains compilation errors.void compile(Consumer<CharSequence> msgOut, Set<Path> createdFiles, Set<Path> updatedFiles, Set<Path> deletedFiles) throws Exception
This method is called if some source files are created/updated/deleted.
msgOut
- for diagnosis messages; see HotReloader.getMessageOut()
Exception
- if compilation fails; the exception message usually contains compilation errors.


Class WinBaseConstants
Inheritance
WinBaseConstants
Assembly: THNETII.WinApi.Constants.WinBase.dll
Syntax
public static class WinBaseConstants
Fields
|
Improve this Doc
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Declaration
public const int FORMAT_MESSAGE_ALLOCATE_BUFFER = 256
Field Value
|
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Declaration
public const int FORMAT_MESSAGE_ARGUMENT_ARRAY = 8192
Field Value
|
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Declaration
public const int FORMAT_MESSAGE_FROM_HMODULE = 2048
Field Value
|
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Declaration
public const int FORMAT_MESSAGE_FROM_STRING = 1024
Field Value
|
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Declaration
public const int FORMAT_MESSAGE_FROM_SYSTEM = 4096
Field Value
|
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Declaration
public const int FORMAT_MESSAGE_IGNORE_INSERTS = 512
Field Value
|
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Declaration
public const int FORMAT_MESSAGE_MAX_WIDTH_MASK = 255
Field Value
|
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SEM_FAILCRITICALERRORS
Declaration
public const int SEM_FAILCRITICALERRORS = 1
Field Value
|
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SEM_NOALIGNMENTFAULTEXCEPT
Declaration
public const int SEM_NOALIGNMENTFAULTEXCEPT = 4
Field Value
|
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SEM_NOGPFAULTERRORBOX
Declaration
public const int SEM_NOGPFAULTERRORBOX = 2
Field Value
|
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SEM_NOOPENFILEERRORBOX
Declaration
public const int SEM_NOOPENFILEERRORBOX = 32768
Field Value


Home
Conditions
Frog.NET Conditions are object representations of SQL conditions, used in Get and Updatescenarios. A number of conditions are currently supported, allowing you to construct a wide
variety of queries.
Take a look at the list below for an explanation of each.
| AndCondition | Allows you to combine two conditions, indicating that both should be met |
| OrCondition | Allows you to combine two conditions, indicating that any one of them should be met |
| StartsWithCondition | Indicate that a text-based field should start with a certain string |
| EndsWithCondition | Indicate that a text-based field should end with a certain string |
| ContainsCondition | Indicate that a text-based field should contain a specified string |
| NotCondition | Indicates that a field should match the inverse of a condition |
| EqualsCondition | Indicate that a field should have a particular value |
| LessThanCondition | Indicate that a numeric field should have a value below the specified |
| GreaterThanCondition | Indicate that a numeric field should have a value above the specified |
| EarlierThanCondition | Indicate that a datetime field should be an earlier point in time than the specified value (not implemented yet) |
| LaterThanCondition | Indicate that a datetime field should be an earlier point in time than the specified value (not implemented yet) |
Note that you have easy access to all the conditions using the fluent interface of the Field class. For instance Field.Equals() returns and EqualsCondition. Field.StartsWith() returns a StartsWithCondition, and so forth.
Translation
Whatever the graph of condition objects you construct, it will at some point be converted to pieces of good ol' SQL. Here is a couple of examples:Example 1
var condition = Field.Equals("Name", "John"); // becomes WHERE ([Name] = 'John')
Example 2
var condition = Field.Or( Field.StartsWith("Name", "Catherine"), Field.StartsWith("Name", "George") ); // becomes WHERE (([Name] LIKE '%Catherine') OR ([Name] LIKE '%George'))
Example 3
var condition = Field.GreaterThan("TotalAmount", 500); // becomes WHERE ([TotalAmount] > 500)
Example 4
var condition = Field.Not( Field.GreaterThan("TotalAmount", 500) ); // becomes WHERE (NOT ([TotalAmount] > 500))


I like playing music and i'm working in mani clubs.
I started playing music in 6 grade.
you can contact me on my email.


This guide provides you with all you need to get started in creating, enqueueing and executing background jobs.
After reading this guide, you will know:
Active Job is a framework for declaring jobs and making them run on a variety of queueing backends. These jobs can be everything from regularly scheduled clean-ups, to billing charges, to mailings. Anything that can be chopped up into small units of work and run in parallel, really.
The main point is to ensure that all Rails apps will have a job infrastructure in place, even if it’s in the form of an “immediate runner”. We can then have framework features and other gems build on top of that, without having to worry about API differences between various job runners such as Delayed Job and Resque. Picking your queuing backend becomes more of an operational concern, then. And you’ll be able to switch between them without having to rewrite your jobs.
This section will provide a step-by-step guide to creating a job and enqueuing it.
Active Job provides a Rails generator to create jobs. The following will create a
job in app/jobs
(with an attached test case under test/jobs
):
$ bin/rails generate job guests_cleanup invoke test_unit create test/jobs/guests_cleanup_job_test.rb create app/jobs/guests_cleanup_job.rb
You can also create a job that will run on a specific queue:
$ bin/rails generate job guests_cleanup --queue urgent
If you don’t want to use a generator, you could create your own file inside of
app/jobs
, just make sure that it inherits from ActiveJob::Base
.
Here’s what a job looks like:
class GuestsCleanupJob < ActiveJob::Base queue_as :default def perform(*args) # Do something later end end
Enqueue a job like so:
# Enqueue a job to be performed as soon the queueing system is free. MyJob.perform_later record
# Enqueue a job to be performed tomorrow at noon. MyJob.set(wait_until: Date.tomorrow.noon).perform_later(record)
# Enqueue a job to be performed 1 week from now. MyJob.set(wait: 1.week).perform_later(record)
That’s it!
If no adapter is set, the job is immediately executed.
Active Job has built-in adapters for multiple queueing backends (Sidekiq, Resque, Delayed Job and others). To get an up-to-date list of the adapters see the API Documentation for ActiveJob::QueueAdapters.
You can easily set your queueing backend:
# config/application.rb module YourApp class Application < Rails::Application # Be sure to have the adapter's gem in your Gemfile and follow # the adapter's specific installation and deployment instructions. config.active_job.queue_adapter = :sidekiq end end
Most of the adapters support multiple queues. With Active Job you can schedule the job to run on a specific queue:
class GuestsCleanupJob < ActiveJob::Base queue_as :low_priority #.... end
You can prefix the queue name for all your jobs using
config.active_job.queue_name_prefix
in application.rb
:
# config/application.rb module YourApp class Application < Rails::Application config.active_job.queue_name_prefix = Rails.env end end # app/jobs/guests_cleanup.rb class GuestsCleanupJob < ActiveJob::Base queue_as :low_priority #.... end # Now your job will run on queue production_low_priority on your # production environment and on staging_low_priority on your staging # environment
The default queue name prefix delimiter is ‘_’. This can be changed by setting
config.active_job.queue_name_delimiter
in application.rb
:
# config/application.rb module YourApp class Application < Rails::Application config.active_job.queue_name_prefix = Rails.env config.active_job.queue_name_delimiter = '.' end end # app/jobs/guests_cleanup.rb class GuestsCleanupJob < ActiveJob::Base queue_as :low_priority #.... end # Now your job will run on queue production.low_priority on your # production environment and on staging.low_priority on your staging # environment
If you want more control on what queue a job will be run you can pass a :queue
option to #set
:
MyJob.set(queue: :another_queue).perform_later(record)
To control the queue from the job level you can pass a block to #queue_as
. The
block will be executed in the job context (so you can access self.arguments
)
and you must return the queue name:
class ProcessVideoJob < ActiveJob::Base queue_as do video = self.arguments.first if video.owner.premium? :premium_videojobs else :videojobs end end def perform(video) # do process video end end ProcessVideoJob.perform_later(Video.last)
NOTE: Make sure your queueing backend “listens” on your queue name. For some backends you need to specify the queues to listen to.
Active Job provides hooks during the lifecycle of a job. Callbacks allow you to trigger logic during the lifecycle of a job.
before_enqueue
around_enqueue
after_enqueue
before_perform
around_perform
after_perform
class GuestsCleanupJob < ActiveJob::Base queue_as :default before_enqueue do |job| # do something with the job instance end around_perform do |job, block| # do something before perform block.call # do something after perform end def perform # Do something later end end
One of the most common jobs in a modern web application is sending emails outside of the request-response cycle, so the user doesn’t have to wait on it. Active Job is integrated with Action Mailer so you can easily send emails asynchronously:
# If you want to send the email now use #deliver_now UserMailer.welcome(@user).deliver_now # If you want to send the email through Active Job use #deliver_later UserMailer.welcome(@user).deliver_later
Active Job supports GlobalID for parameters. This makes it possible to pass live Active Record objects to your job instead of class/id pairs, which you then have to manually deserialize. Before, jobs would look like this:
class TrashableCleanupJob < ActiveJob::Base def perform(trashable_class, trashable_id, depth) trashable = trashable_class.constantize.find(trashable_id) trashable.cleanup(depth) end end
Now you can simply do:
class TrashableCleanupJob < ActiveJob::Base def perform(trashable, depth) trashable.cleanup(depth) end end
This works with any class that mixes in GlobalID::Identification
, which
by default has been mixed into Active Model classes.
Active Job provides a way to catch exceptions raised during the execution of the job:
class GuestsCleanupJob < ActiveJob::Base queue_as :default rescue_from(ActiveRecord::RecordNotFound) do |exception| # do something with the exception end def perform # Do something later end end


Homework
Some CINVESTAV's homework that I've done:
- Circular List Sorts a set of points counter-clockwise in Python.
- Infix to postfix C Change an expression from infix to subfix in C.
- Sort a list of integers Sort a list of integers in C using qsort.
- BTS A Binary Search Tree in C with search, delete and create functions.
- Circular forward list Sorts a set of points counter-clockwise in C++.
- Infix to postfix C++ Change an expression from infix to subfix in C++.
- Bash Plot A Bash script to plot figures from that paper.


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You need to be at least 21 years old to adopt. There is no upper age limit but we have to be realistic about health and wellbeing in the long term to provide a permanent and stable home for a child.
No. You should enjoy being with children and have a stable lifestyle but you don't need any special qualifications to adopt a child.
You will need the same skills you would need to parent a birth child, as well as some extra knowledge and skills to enable you to meet the additional needs of your adopted child. We offer you advice, training and continued support to help you build up the knowledge and skills you need. You can find more about this on this help 'things to think about' document
Things to think aboutYou can choose to pay 10 monthly instalments from April to January, with nothing to pay in February or March. Or you can choose to make a single payment before the end of April. There are three ways you can pay your Council tax online.
The simplest and most convenient way to pay your Council Tax is by Direct Debit. You can use our online form to set up a direct debit to pay your council tax.
You will have the added option of making 12 monthly payments, and you can choose your preferred payment date.
Set up a direct debitYou can also pay each instalment online using your credit or debit card and our online form.
Pay with a credit or debit cardIf you use online banking, you can set up a payment for the due date.
The reference for the payment should be your 11 digit Council Tax account number which can be found at the top right hand side of your bill.
You will also need the Council's bank sort code 83 06 08 and account number 00740589.
Use your own internet banking service to set up this payment.
There’s a different process for tax credits.
It can take up to 8 weeks to register a lasting power of attorney if there are no mistakes in the application.
| test | test | test |
| ttt | tt | tt |


Exercise 3
Make the following changes to the text below using TextWrangler. You may only edit the CSS.
- Move the first image so it hangs against the right margin. Adjust any values necessary for its right edge to line up flush against the right edge of the type in the first and second paragraphs.
- Leaving the small image (in the third paragraph) where it is, line up all lines of the third paragraph so that they begin under "Lorem". Hint: you only need to use margins.
First paragraph. First paragraph. First paragraph. First paragraph. First paragraph. First paragraph. First paragraph. First paragraph. First paragraph.
Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph. Second paragraph.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Duis aute irure dolor. In reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. In reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.


| Financial services administrator | Level 3 (equivalent to A levels at grades A to E) |
|---|---|
| Number of apprentices | 1 |
| Funding band maximum | £3,000 |
| Agreed price with training provider | £3,000 |
| The government will pay | £2,700 |
| Cost to you | £300 |
| Financial services administrator | Level 3 (equivalent to A levels at grades A to E) |
|---|---|
| Number of apprentices | 1 |
| Funding band maximum | £3,000 |
| Agreed price with training provider | £3,000 |
| The government will pay | £2,700 |
| Cost to you | £300 |
| Financial services administrator | Level 3 (equivalent to A levels at grades A to E) |
|---|---|
| Number of apprentices | 1 |
| Funding band maximum | £3,000 |
| Agreed price with training provider | £3,000 |
| The government will pay | £2,700 |
| Cost to you | £300 |


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Meal for {{ meal_request.num_adults }} adult{{ meal_request.num_adults | pluralize }} and {{ meal_request.num_children }} kid{{ meal_request.num_children | pluralize }}
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