Extract structured entities from text lists
Structured entities are pattern matches and not inferred entities. Some example are hashtags, emoji, mentions, questions, and so on. This is in contrast to entity extraction which are inferred from the context of the sentence (people, companies, brands and so on).
All functions start with extract_
and have a descriptive name for the type
of entity that they extract.
There is also a generic extract
fucntion which powers all others, and it
can be used for any other pattern not included. It takes a regular expression,
and returns a similar dictionary to the other functions.
Extract Functions
A generic function that takes a regex to extract any pattern you want |
|
Currency symbols together with surrounding text for context. This does not include currency abbreviations (USD, EUR, JPY, etc.), only symbols ($, £, €, etc). |
|
All the emoji database, together with textual names, groups and sub-groups. |
|
Sentences that end with an excalamation mark! |
|
Extract hashtags with descriptive statistics. |
|
Words that contain three or more repeated characters to express an intense feeling (positive or negative), "I looooooovvvvee this thing". |
|
User mentions in social media posts. Also useful for network analysis. |
|
Any numbers that are included the text list. Included a modifiable list of separators to use (",", ".", "-", etc.). |
|
Questions included in the text list. |
|
URls in the text list. |
|
Any arbitrary words that you want extracted. Works in two modes, either the word should fully match the pattern, or as part of a longer word, ("rest" can be matched from "restaurant" or not). |
All functions return a dictionary with the entities extracted, along with helpful statistics. Since the entities have different meanings, most of them return additional keys depending on the context.
The recommended way of using:
import advertools as adv
text_list = ['This is the first #text.', 'Second #sentence is here.',
'Hello, how are you?', 'This #sentence is the last #sentence']
hashtag_summary = adv.extract_hashtags(text_list)
hashtag_summary.keys()
dict_keys(['hashtags', 'hashtags_flat', 'hashtag_counts', 'hashtag_freq',
'top_hashtags', 'overview'])
Now you can start exploring:
hashtag_summary
>>> hashtag_summary['overview']
{'num_posts': 4,
'num_hashtags': 4,
'hashtags_per_post': 1.0,
'unique_hashtags': 2}
>>> hashtag_summary['hashtags']
[['#text'], ['#sentence'], [], ['#sentence', '#sentence']]
>>> hashtag_summary['hashtags_flat']
['#text', '#sentence', '#sentence', '#sentence']
>>> hashtag_summary['hashtag_counts']
[1, 1, 0, 2]
>>> hashtag_summary['hashtag_freq']
[(0, 1), (1, 2), (2, 1)]
>>> hashtag_summary['top_hashtags']
[('#sentence', 3), ('#text', 1)]
Let's explore a proper dataset of tweets, which you can generate using one of the functions in the twitter API module.
import advertools as adv
import pandas as pd
tweets = pd.read_csv('data/tweets.csv')
print(tweets.shape)
tweets.head()
tweet_text |
followers_count |
|
|---|---|---|
0 |
@AERIALMAGZC @penguinnyyyyy you won't be afraid if I give you a real reason :D |
157 |
1 |
Vibing in the office to #Metallica when the boss is on a coffee break #TheOffice https://t.co/U5vdYevvfe |
4687 |
2 |
I feel like Ann says she likes coffee and then gets drinks that are 99% sugar and 1% coffee https://t.co/HfuBV4v3aY |
104 |
3 |
A venti iced coffee with four pumps of white mocha, sweet cream and caramel drizzle might just be my new favorite drink. Shout out to TikTok lol |
126 |
4 |
I was never a coffee person until I had kids. ☕ this cup is a life saver. https://t.co/Zo0CnVuiGj |
1595 |
5 |
Who's excited about our next Coffee Chat? We know we are!🥳 We're also adding Representative John Bradford to this lineup to discuss redistricting in the area. You won't want to miss it! RSVP: https://t.co/R3YNJjJCUG Join the meeting: https://t.co/Ho4Kx7ZZ24 https://t.co/KfPdR3hupY |
5004 |
6 |
he paid for my coffee= husband💗 |
165 |
7 |
It's nipply outside, and now I side too :) That sounds like blowjob in front of a fire and visit with coffee after :) I'm still out of coffee I could have green tea instead Hahahahahahaha I want to spend the morning pampering you ... |
0 |
8 |
Good morning 😃🌞☀ I hope everyone has a great Tuesday morning. Enjoy your day and coffee ☕ ♥❤💕🥰😘 |
189 |
9 |
@MarvinMilton2 I nearly choked on my coffee 🤪 |
1160 |
Extract @mentions
mention_summary = adv.extract_mentions(tweets['tweet_text'])
mention_summary.keys()
dict_keys(['mentions', 'mentions_flat', 'mention_counts', 'mention_freq',
'top_mentions', 'overview'])
mention_summary['overview']
{'num_posts': 2000,
'num_mentions': 1346,
'mentions_per_post': 0.673,
'unique_mentions': 1132}
pd.DataFrame(zip(mention_summary['mentions'],
mention_summary['mention_counts']),
columns=['mentions', 'count'])
[h for h in mention_summary['mentions'] if h][:10]
mention_summary['top_mentions'][:10]
mention_summary['mention_freq']
Extract Currency $ ¢ £ ¤ ¥ ֏ ؋ ₲ ₵ ₸ ₹﹩ ￠ ￡ ￥ ￦ ₺ ₻ ₼ ₽ ₾ ₿ ﷼
currency_summary = adv.extract_currency(tweets['tweet_text'])
currency_summary.keys()
dict_keys(['currency_symbols', 'currency_symbols_flat',
'currency_symbol_counts', 'currency_symbol_freq',
'top_currency_symbols', 'overview', 'currency_symbol_names',
'surrounding_text'])
currency_summary['overview']
{'num_posts': 2000,
'num_currency_symbols': 37,
'currency_symbols_per_post': 0.0185,
'unique_currency_symbols': 4}
currency_summary['top_currency_symbols']
[text for text in currency_summary['surrounding_text'] if text][:10]
[sym for sym in currency_summary['currency_symbol_names'] if sym][:10]
Extract numbers<PHONE_NUMBER>٠١٢٣٤٥٦٧٨٩㊺𑁛𐄍𐢪⓲𑁣𐄨𐤛
number_summary = adv.extract_numbers(tweets['tweet_text'])
number_summary.keys()
dict_keys(['numbers', 'numbers_flat', 'number_counts', 'number_freq',
'top_numbers', 'overview'])
number_summary['overview']
{'num_posts': 2000,
'num_numbers': 1727,
'numbers_per_post': 0.8635,
'unique_numbers': 257}
number_summary['number_freq']
pd.DataFrame({
'numbers': number_summary['numbers'],
'counts': number_summary['number_counts'],
}).head(20)
Extract questions ? ¿ ; ՞ ؟ ፧ ᥅ ⁇ ⁈ ⁉ ⳺ ⳻ ⸮ ꘏ ꛷ ︖ ﹖ ？ 𑅃 𞥟 ʔ ‽
question_summary = adv.extract_questions(tweets['tweet_text'])
question_summary.keys()
dict_keys(['question_marks', 'question_marks_flat', 'question_mark_counts',
'question_mark_freq', 'top_question_marks', 'overview',
'question_mark_names', 'question_text'])
question_summary['overview']
{'num_posts': 2000,
'num_question_marks': 321,
'question_marks_per_post': 0.1605,
'unique_question_marks': 1}
question_summary['question_text'][:25]
[[],
[],
[],
[],
[],
["Who's excited about our next Coffee Chat?"],
[],
[],
[],
[],
['@ckaiserjr @perry_ron @LILGUYISBACK Is it okay if the hot water is flavored with coffee?'],
[],
[],
[],
[],
[],
[],
[],
[],
[],
["You think if you do that you'll loose your followers ???"],
[],
[],
['maybe more coffee will help?'],
[]]
Extract Exclamations ! ¡ ՜ ߹ ᥄ ‼ ⁈ ⁉ ︕ ﹗ ！ 𞥞
exclamation_summary = adv.extract_exclamations(tweets['tweet_text'])
exclamation_summary.keys()
dict_keys(['exclamation_marks', 'exclamation_marks_flat',
'exclamation_mark_counts', 'exclamation_mark_freq',
'top_exclamation_marks', 'overview', 'exclamation_mark_names',
'exclamation_text'])
exclamation_summary['overview']
{'num_posts': 2000,
'num_exclamation_marks': 563,
'exclamation_marks_per_post': 0.2815,
'unique_exclamation_marks': 2}
exclamation_summary['top_exclamation_marks']
exclamation_summary['exclamation_text'][:15]
Extract Emoji 😂😭🥺🤣❤✨🙏😍
emoji_summary = adv.extract_emoji(tweets['tweet_text'])
emoji_summary.keys()
dict_keys(['emoji', 'emoji_text', 'emoji_flat', 'emoji_flat_text',
'emoji_counts', 'emoji_freq', 'top_emoji', 'top_emoji_text',
'top_emoji_groups', 'top_emoji_sub_groups', 'overview'])
emoji_summary['overview']
{'num_posts': 2000,
'num_emoji': 1149,
'emoji_per_post': 0.5745,
'unique_emoji': 279}
pd.DataFrame({
'emoji': emoji_summary['emoji'],
'emoji_name': emoji_summary['emoji_text']
})[:20]
emoji_summary['top_emoji'][:20]
[('☕', 159),
('😭', 72),
('😂', 64),
('🤣', 49),
('🔥', 32),
('⬛', 21),
('🟩', 16),
('🥰', 15),
('😍', 15),
('❤', 14),
('🍩', 14),
('😋', 13),
('🥺', 13),
('🤔', 13),
('🥲', 13),
('🙏', 12),
('😅', 11),
('💖', 11),
('💜', 11),
('😊', 10)]
emoji_summary['top_emoji_text'][:20]
emoji_summary['top_emoji_groups']
[('Smileys & Emotion', 601),
('Food & Drink', 210),
('People & Body', 97),
('Symbols', 75),
('Travel & Places', 67),
('Animals & Nature', 33),
('Objects', 29),
('Activities', 26),
('Flags', 11)]
emoji_summary['top_emoji_sub_groups']
- extract(text_list, regex, key_name, extracted=None, **kwargs)[source]
Return a summary dictionary about arbitrary matches in
text_list
.This function is used by other specialized functions to extract certain elements (hashtags, mentions, emojis, etc.). It can be used for other arbitrary elements/matches. You only need to provide your own regex.
- Parameters
text_list (list) -- Any list of strings (social posts, page titles, etc.)
regex (str) -- The regex pattern to use for extraction.
key_name (str) -- The name of the object extracted in singular form (hashtag, mention, etc.)
extracted (list(list)) -- List of lists, optional. If the regex is not straightforward, and matches need to be made with special code, provide the extracted words/matches as a list for each element of
text_list
.kwargs (mapping) -- Other kwargs that might be needed.
- Return summary
A dictionary summarizing the extracted data.
- extract_currency(text_list, left_chars=20, right_chars=20)[source]
Return a summary dictionary about currency symbols in
text_list
Get a summary of the number of currency symbols, their frequency, the top ones, and more.
- Parameters
text_list (list) -- A list of text strings.
left_chars (int) -- The number of characters to extract, to the left of the symbol when getting
surrounding_text
right_chars (int) -- The number of characters to extract, to the left of the symbol when getting
surrounding_text
- Returns summary
A dictionary with various stats about currencies
>>> posts = ['today ₿1 is around $4k', 'and ₿ in £ & €?', 'no idea'] >>> currency_summary = extract_currency(posts) >>> currency_summary.keys() dict_keys(['currency_symbols', 'currency_symbols_flat', 'currency_symbol_counts', 'currency_symbol_freq', 'top_currency_symbols', 'overview', 'currency_symbol_names'])
>>> currency_summary['currency_symbols'] [['₿', '$'], ['₿', '£', '€'], []]
A simple extract of currencies from each of the posts. An empty list if none exist
>>> currency_summary['currency_symbols_flat'] ['₿', '$', '₿', '£', '€']
All currency symbols in one flat list.
>>> currency_summary['currency_symbol_counts'] [2, 3, 0]
The count of currency symbols per post.
>>> currency_summary['currency_symbol_freq'] [(0, 1), (2, 1), (3, 1)]
Shows how many posts had 0, 1, 2, 3, etc. currency symbols (number_of_symbols, count)
>>> currency_summary['top_currency_symbols'] [('₿', 2), ('$', 1), ('£', 1), ('€', 1)]
>>> currency_summary['currency_symbol_names'] [['bitcoin sign', 'dollar sign'], ['bitcoin sign', 'pound sign', 'euro sign'], []]
>>> currency_summary['surrounding_text'] [['today ₿1 is around $4k'], ['and ₿ in £ & €?'], []]
>>> extract_currency(posts, 5, 5)['surrounding_text'] [['oday ₿1 is ', 'ound $4k'], ['and ₿ in £', ' & €?'], []]
>>> extract_currency(posts, 0, 3)['surrounding_text'] [['₿1 i', '$4k'], ['₿ in', '£ & ', '€?'], []]
>>> currency_summary['overview'] {'num_posts': 3, 'num_currency_symbols': 5, 'currency_symbols_per_post': 1.6666666666666667, 'unique_currency_symbols': 4}
- extract_exclamations(text_list)[source]
Return a summary dictionary about exclamation (mark)s in
text_list
Get a summary of the number of exclamation marks, their frequency, the top ones, as well the exclamations written/said.
- Parameters
text_list (list) -- A list of text strings.
- Returns summary
A dictionary with various stats about exclamations
>>> posts = ['Who are you!', 'What is this!', 'No exclamation here?'] >>> exclamation_summary = extract_exclamations(posts) >>> exclamation_summary.keys() dict_keys(['exclamation_marks', 'exclamation_marks_flat', 'exclamation_mark_counts', 'exclamation_mark_freq', 'top_exclamation_marks', 'overview', 'exclamation_mark_names', 'exclamation_text'])
>>> exclamation_summary['exclamation_marks'] [['!'], ['!'], []]
A simple extract of exclamation marks from each of the posts. An empty list if none exist
>>> exclamation_summary['exclamation_marks_flat'] ['!', '!']
All exclamation marks in one flat list.
>>> exclamation_summary['exclamation_mark_counts'] [1, 1, 0]
The count of exclamation marks per post.
>>> exclamation_summary['exclamation_mark_freq'] [(0, 1), (1, 2)]
Shows how many posts had 0, 1, 2, 3, etc. exclamation marks (number_of_symbols, count)
>>> exclamation_summary['top_exclamation_marks'] [('!', 2)]
Might be interesting if you have different types of exclamation marks
>>> exclamation_summary['exclamation_mark_names'] [['exclamation mark'], ['exclamation mark'], []]
>>> exclamation_summary['overview'] {'num_posts': 3, 'num_exclamation_marks': 2, 'exclamation_marks_per_post': 0.6666666666666666, 'unique_exclamation_marks': 1}
>>> posts2 = ["don't go there!", 'مرحبا. لا تذهب!', '¡Hola! ¿cómo estás?', ... 'a few different exclamation marks! make sure you see them!']
>>> exclamation_summary = extract_exclamations(posts2)
>>> exclamation_summary['exclamation_marks'] [['!'], ['!'], ['¡', '!'], ['!', '!']] # might be displayed in opposite order due to RTL exclamation mark A simple extract of exclamation marks from each of the posts. An empty list if none exist
>>> exclamation_summary['exclamation_marks_flat'] ['!', '!', '¡', '!', '!', '!']
All exclamation marks in one flat list.
>>> exclamation_summary['exclamation_mark_counts'] [1, 1, 2, 2]
The count of exclamation marks per post.
>>> exclamation_summary['exclamation_mark_freq'] [(1, 2), (2, 2)]
Shows how many posts had 0, 1, 2, 3, etc. exclamation marks (number_of_symbols, count)
>>> exclamation_summary['top_exclamation_marks'] [('!', 5), ('¡', 1)]
Might be interesting if you have different types of exclamation marks
>>> exclamation_summary['exclamation_mark_names'] [['exclamation mark'], ['exclamation mark'], ['inverted exclamation mark', 'exclamation mark'], ['exclamation mark', 'exclamation mark']]
>>> exclamation_summary['overview'] {'num_posts': 4, 'num_exclamation_marks': 6, 'exclamation_marks_per_post': 1.5, 'unique_exclamation_marks': 4}
- extract_hashtags(text_list)[source]
Return a summary dictionary about hashtags in
text_list
Get a summary of the number of hashtags, their frequency, the top ones, and more.
- Parameters
text_list (list) -- A list of text strings.
- Returns summary
A dictionary with various stats about hashtags
>>> posts = ['i like #blue', 'i like #green and #blue', 'i like all'] >>> hashtag_summary = extract_hashtags(posts) >>> hashtag_summary.keys() dict_keys(['hashtags', 'hashtags_flat', 'hashtag_counts', 'hashtag_freq', 'top_hashtags', 'overview'])
>>> hashtag_summary['hashtags'] [['#blue'], ['#green', '#blue'], []]
A simple extract of hashtags from each of the posts. An empty list if none exist
>>> hashtag_summary['hashtags_flat'] ['#blue', '#green', '#blue']
All hashtags in one flat list.
>>> hashtag_summary['hashtag_counts'] [1, 2, 0]
The count of hashtags per post.
>>> hashtag_summary['hashtag_freq'] [(0, 1), (1, 1), (2, 1)]
Shows how many posts had 0, 1, 2, 3, etc. hashtags (number_of_hashtags, count)
>>> hashtag_summary['top_hashtags'] [('#blue', 2), ('#green', 1)]
>>> hashtag_summary['overview'] {'num_posts': 3, 'num_hashtags': 3, 'hashtags_per_post': 1.0, 'unique_hashtags': 2}
- extract_intense_words(text_list, min_reps=3)[source]
Return a summary dictionary about intense words in
text_list
Get all instances of usage of intense words (positive or negative), using words that have
min_reps
or more repetitions of characters. "I looooooveeee youuuuuuu", and "I haaatttteeee youuuuuu" are both intense.- Parameters
text_list (list) -- A text list from which to extract intense words
min_reps (int) -- The number of times a character has to be repeated for the word to be considered intense.
- Returns summary
A dictionary with various stats about intense words
- extract_mentions(text_list)[source]
Return a summary dictionary about mentions in
text_list
Get a summary of the number of mentions, their frequency, the top ones, and more.
- Parameters
text_list (list) -- A list of text strings.
- Returns summary
A dictionary with various stats about mentions
>>> posts = ['hello @john and @jenny', 'hi there @john', 'good morning'] >>> mention_summary = extract_mentions(posts) >>> mention_summary.keys() dict_keys(['mentions', 'mentions_flat', 'mention_counts', 'mention_freq', 'top_mentions', 'overview'])
>>> mention_summary['mentions'] [['@john', '@jenny'], ['@john'], []]
A simple extract of mentions from each of the posts. An empty list if none exist
>>> mention_summary['mentions_flat'] ['@john', '@jenny', '@john']
All mentions in one flat list.
>>> mention_summary['mention_counts'] [2, 1, 0]
The count of mentions per post.
>>> mention_summary['mention_freq'] [(0, 1), (1, 1), (2, 1)]
Shows how many posts had 0, 1, 2, 3, etc. mentions (number_of_mentions, count)
>>> mention_summary['top_mentions'] [('@john', 2), ('@jenny', 1)]
>>> mention_summary['overview'] {'num_posts': 3, # number of posts 'num_mentions': 3, 'mentions_per_post': 1.0, 'unique_mentions': 2}
- extract_numbers(text_list, number_separators=('.', ',', '-'))[source]
Return a summary dictionary about numbers in
text_list
, separated by any ofnumber_separators
Get a summary of the number of numbers, their frequency, the top ones, and more. Typically, numbers would contain separators to make them easier to read, so these are included by default, which you can modify.
- Parameters
text_list (list) -- A list of text strings.
number_separators (list(str)) -- A list of separators that you want to be included as part of the extracted numbers.
- Returns summary
A dictionary with various stats about the numbers
>>> posts = ['text before 123', '123,456 text after', 'phone 333-444-555', 'multiple 123,456 and 123.456.789'] >>> number_summary = extract_numbers(posts) >>> number_summary.keys() dict_keys(['numbers', 'numbers_flat', 'number_counts', 'number_freq', 'top_numbers', 'overview'])
>>> number_summary['numbers'] [['123'], ['123,456'], ['333-444-555'], ['123,456', '123.456.789']]
A simple extract of number from each of the posts. An empty list if none exist
>>> number_summary['numbers_flat'] ['123', '123,456', '333-444-555', '123,456', '123.456.789']
All numbers in one flat list.
>>> number_summary['number_counts'] [1, 1, 1, 2]
The count of numbers per post.
>>> number_summary['number_freq'] [(1, 3), (2, 1)]
Shows how many posts had 0, 1, 2, 3, etc. numbers (number_of_numbers, count)
>>> number_summary['top_numbers'] [('123,456', 2), ('123', 1), ('333-444-555', 1), ('123.456.789', 1)]
>>> number_summary['overview'] {'num_posts': 4, 'num_numbers': 5, 'numbers_per_post': 1.25, 'unique_numbers': 4}
- extract_questions(text_list)[source]
Return a summary dictionary about question(mark)s in
text_list
Get a summary of the number of question marks, their frequency, the top ones, as well the questions asked.
- Parameters
text_list (list) -- A list of text strings.
- Returns summary
A dictionary with various stats about questions
>>> posts = ['How are you?', 'What is this?', 'No question Here!'] >>> question_summary = extract_questions(posts) >>> question_summary.keys() dict_keys(['question_marks', 'question_marks_flat', 'question_mark_counts', 'question_mark_freq', 'top_question_marks', 'overview', 'question_mark_names', 'question_text'])
>>> question_summary['question_marks'] [['?'], ['?'], []]
A simple extract of question marks from each of the posts. An empty list if none exist
>>> question_summary['question_marks_flat'] ['?', '?']
All question marks in one flat list.
>>> question_summary['question_mark_counts'] [1, 1, 0]
The count of question marks per post.
>>> question_summary['question_mark_freq'] [(0, 1), (1, 2)]
Shows how many posts had 0, 1, 2, 3, etc. question marks (number_of_symbols, count)
>>> question_summary['top_question_marks'] [('?', 2)]
Might be interesting if you have different types of question marks (Arabic, Spanish, Greek, Armenian, or other)
>>> question_summary['question_mark_names'] [['question mark'], ['question mark'], []]
>>> question_summary['overview'] {'num_posts': 3, 'num_question_marks': 2, 'question_marks_per_post': 0.6666666666666666, 'unique_question_marks': 1}
>>> posts2 = ['Πώς είσαι;', 'مرحباً. كيف حالك؟', 'Hola, ¿cómo estás?', ... 'Can you see the new questions? Did you notice the different marks?']
>>> question_summary = extract_questions(posts2)
>>> question_summary['question_marks'] [[';'], ['؟'], ['¿', '?'], ['?', '?']] # might be displayed in opposite order due to RTL question mark A simple extract of question marks from each of the posts. An empty list if none exist
>>> question_summary['question_marks_flat'] [';', '؟', '¿', '?', '?', '?']
All question marks in one flat list.
>>> question_summary['question_mark_counts'] [1, 1, 2, 2]
The count of question marks per post.
>>> question_summary['question_mark_freq'] [(1, 2), (2, 2)]
Shows how many posts had 0, 1, 2, 3, etc. question marks (number_of_symbols, count)
>>> question_summary['top_question_marks'] [('?', 3), (';', 1), ('؟', 1), ('¿', 1)]
Might be interesting if you have different types of question marks (Arabic, Spanish, Greek, Armenian, or other)
>>> question_summary['question_mark_names'] [['greek question mark'], ['arabic question mark'], ['inverted question mark', 'question mark'], ['question mark', 'question mark']] # correct order
>>> question_summary['overview'] {'num_posts': 4, 'num_question_marks': 6, 'question_marks_per_post': 1.5, 'unique_question_marks': 4}
- extract_urls(text_list)[source]
Return a summary dictionary about URLs in
text_list
Get a summary of the number of URLs, their frequency, the top ones, and more. This does NOT validate URLs, www.a.b would count as a URL
- Parameters
text_list (list) -- A list of text strings.
- Returns summary
A dictionary with various stats about URLs
>>> posts = ['one link http://example.com', 'two: http://a.com www.b.com', ... 'no links here', ... 'long url http://example.com/one/two/?1=one&2=two'] >>> url_summary = extract_urls(posts) >>> url_summary.keys() dict_keys(['urls', 'urls_flat', 'url_counts', 'url_freq', 'top_urls', 'overview', 'top_domains', 'top_tlds'])
>>> url_summary['urls'] [['http://example.com'], ['http://a.com', 'http://www.b.com'], [], ['http://example.com/one/two/?1=one&2=two']]
A simple extract of urls from each of the posts. An empty list if none exist
>>> url_summary['urls_flat'] ['http://example.com', 'http://a.com', 'http://www.b.com', 'http://example.com/one/two/?1=one&2=two']
All urls in one flat list.
>>> url_summary['url_counts'] [1, 2, 0, 1]
The count of urls per post.
>>> url_summary['url_freq'] [(0, 1), (1, 2), (2, 1)]
Shows how many posts had 0, 1, 2, 3, etc. urls (number_of_urls, count)
>>> url_summary['top_urls'] [('http://example.com', 1), ('http://a.com', 1), ('http://www.b.com', 1), ('http://example.com/one/two/?1=one&2=two', 1)]
>>> url_summary['top_domains'] [('example.com', 2), ('a.com', 1), ('www.b.com', 1)]
>>> url_summary['top_tlds'] [('com', 4)]
>>> url_summary['overview'] {'num_posts': 4, 'num_urls': 4, 'urls_per_post': 1.0, 'unique_urls': 4}
- extract_words(text_list, words_to_extract, entire_words_only=False)[source]
Return a summary dictionary about
words_to_extract
intext_list
.Get a summary of the number of words, their frequency, the top ones, and more.
- Parameters
text_list (list) -- A list of text strings.
words_to_extract (list) -- A list of words to extract from
text_list
.entire_words_only (bool) -- Whether or not to find only complete words (as specified by
words_to_find
) or find any any of the words as part of longer strings.
- Returns summary
A dictionary with various stats about the words
>>> posts = ['there is rain, it is raining', 'there is snow and rain', 'there is no rain, it is snowing', 'there is nothing'] >>> word_summary = extract_words(posts, ['rain', 'snow'], True) >>> word_summary.keys() dict_keys(['words', 'words_flat', 'word_counts', 'word_freq', 'top_words', 'overview'])
>>> word_summary['overview'] {'num_posts': 4, 'num_words': 4, 'words_per_post': 1, 'unique_words': 2}
>>> word_summary['words'] [['rain'], ['snow', 'rain'], ['rain'], []]
A simple extract of mentions from each of the posts. An empty list if none exist
>>> word_summary['words_flat'] ['rain', 'snow', 'rain', 'rain']
All mentions in one flat list.
>>> word_summary['word_counts'] [1, 2, 1, 0]
The count of mentions for each post.
>>> word_summary['word_freq'] [(0, 1) (1, 2), (2, 1)]
Shows how many posts had 0, 1, 2, 3, etc. words (number_of_words, count)
>>> word_summary['top_words'] [('rain', 3), ('snow', 1)]
Check the same posts extracting any occurrence of the specified words with
entire_words_only=False
:>>> word_summary = extract_words(posts, ['rain', 'snow'], False)
>>> word_summary['overview'] {'num_posts': 4, # number of posts 'num_words': 6, 'words_per_post': 1.5, 'unique_words': 4}
>>> word_summary['words'] [['rain', 'raining'], ['snow', 'rain'], ['rain', 'snowing'], []]
Note that the extracted words are the complete words so you can see where they occurred. In case "training" was mentioned, you would see that it is not related to rain for example.
>>> word_summary['words_flat'] ['rain', 'raining', 'snow', 'rain', 'rain', 'snowing']
All mentions in one flat list.
>>> word_summary['word_counts'] [2, 2, 2, 0]
>>> word_summary['word_freq'] [(0, 1), (2, 3)]
Shows how many posts had 0, 1, 2, 3, etc. words (number_of_words, count)
>>> word_summary['top_words'] [('rain', 3), ('raining', 1), ('snow', 1), ('snowing', 1)]


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Fusion 360-Extrusion
Extrusion is used to create volume to a 2D sketch by entering the dimensions based on the amount of extrusion needed.
Extrusion is used to create volume to a 2D sketch by entering the dimensions based on the amount of extrusion needed.


I started programming at thirteen, learning from online sources and tutorials, which helped me develop a self-teaching attitude. Since then I've had a profound interest in computer networks, security and distributed systems.
Now I combine my professional career with studies on Cybersecurity, investing my free time in side projects, polishing my programming skills and learning new technologies.
Working in a small team of senior engineers on a wealth and legacy management solution, following high standards of code quality and security.
Design and development of web applications on innovative projects as part of the high performance team in Solera.
Developing software solutions from the ground-up, maintaining the existing codebase and migrating those systems to modern technologies. Worked on both consumer oriented products and applications used internally, such as: management dashboard for energy producers and electric vehicles owners, employee management platform and a renewable energy marketplace.
Six months as part of the Talentum Startups Scholarship granted by Telefonica. First month as training period building a web application with login and data management functionality. From that point onwards, worked on building a large B2B application from scratch as a full time developer. Implemented real time events and bidirectional communication between clients and server.
Thesis: Prototype of an anonymous browsing service based on TOR, paid by an anonymous cryptocurrency derived from CryptoNote (Monero). Score: 10/10
Thesis: End-to-end encrypted communication system, using Signal protocol. Server (Node.js), mobile (React Native) and desktop client (Electron, React, Redux) implemented as part of the project. Score: 9.62/10
End-to-end encrypted communication system.
Server: Node.js (Express, Socket.io)
Desktop client: React, Redux, Electron
Mobile client: React Native


Nasus1795.github.io
Messerschmitt Bf 109 - Wikipedia. Due to the Messerschmitt Bf 109's versatility and time in service with both the Luftwaffe and other foreign air forces, numerous variants were produced over the eight years of service with the Luftwaffe and even more were produced by its foreign users.
Design and development Origins. During 1933, the Technisches Amt (C-Amt), the technical department of the Reichsluftfahrtministerium (RLM) ("Reich Aviation Ministry"), concluded a series of research projects into the future of air combat. Messerschmitt Bf 109 variants - Wikipedia.


In July 2009 I travelled to Hoga, a small Island in the Wakotobi Marine National Park in Indonesia. I worked with Operation Wallacea, an organisation that operates biological and conservation management research programmes in remote locations across the world. My main role as a research assistant was to help scientists and thesis students collect data and, after completing a course in coral reef ecology, I was able to help on several different projects including biotope mapping, the symbiotic relationship between fish and heliofungi, and coral diseases. I was also lucky enough to spend a week living on a boat conducting marine mammal surveys and reef check survey


{% extends 'maps/base.html' %} {% load maps_extras %} {% block title %}{{ title |titlify }}{% endblock %} {% block bodyclass %}page page--directory{% endblock %} {% block content %}
The Platform Co-op Directory is a place where you can search for and connect with cooperatives and other members of the cooperative community.
The directory is for anyone and everyone who wants to learn more about the cooperative community, to connect with others in that community, and/or to share information with the cooperative community about themselves or their organization.
Directory entries are created by the organizations and individuals who wish to share their information with others in the community. Initial entries have also been gathered through surveys and entries that existed in a previous incarnation of the directory.
The Directory was built in partnership with the Platform Cooperative Consortium, the Inclusive Design Research Centre, and a group of co-designers from the cooperative community with whom we have engaged throughout the design process and to whom we are very grateful.


rotten > Library > Biographies > Mad Science > Albert Hofmann
Dr. Albert Hofmann
Inventor of LSD-25.
Last Friday, April 16, 1943, I was forced to interrupt my work in the laboratory in the middle of the afternoon and proceed home, being affected by a remarkable restlessness, combined with a slight dizziness. At home I lay down and sank into a not unpleasant intoxicated condition, characterized by an extremely stimulated imagination. In a dreamlike state, with eyes closed (I found the daylight to be unpleasantly glaring), I perceived an uninterrupted stream of fantastic pictures, extraordinary shapes with intense, kaleidoscopic play of colors. After some two hours this condition faded away.
 Kaleidoscopic, fantastic images surged in on me, alternating, variegated, opening and then closing themselves in circles and spirals, exploding in colored fountains, rearranging and hybridizing themselves in constant flux.
Pornopolis |
Rotten |
Faces of Death |
Famous Nudes
|


Alice Sevin
Front-end developer
I can see it in your
1/6
I can see it in your
2/6
You're all i've ever wanted
and my
are open wide
3/6
Cause you know just what to
and you know
just what to
Do
4/6
And
I want to teel you so much
About working with you
Contact-me
Copyright: Lionel Richie, "Hello"
* I decided to challenge myself trying to apply using an old song of Lionel Richie
And
Want to know more about me ?
Please
Download my resume
Copyright: Lionel Richie, "Hello"
* I decided to challenge myself trying to apply using an old song of Lionel Richie


All functions |
|
|---|---|
Extract binding region feature from cleaned MITAB2.7 |
|
browse Molecular Interaction ontology |
|
Process molecular interaction data in MITAB 2.5 or 2.7 formats |
|
|
|
|
|
find the degree for each protein given cleaned molecular interaction data |
|
Find the degree distribution given edgelist (pair_id) and a list of proteins which degrees matter |
|
|
|
Subset MITAB to retrieve interactors, the number of interactions ot interactors |
Retrieve interactome (proteins only or not) of a given taxonomic species |
|
Compare viral and human protein degree distribution, filter by interaction detection method or PMIDs |
|
Retrieve interspecies interactions (proteins only or not) for a given pair of taxonomy IDs |
|
discover types of interactor features in MITAB 2.7 |
|
last IntAct (all IMEx databases) release |
|
load the list of all protein ID in UniProtKB |
|
load Bioplex data |
|
load human-human, human-viral and viral-viral PPI data from IntActFTP |
|
load all data from IntAct ftp |
|
load Molecular Interaction ontology |
|
load all lower taxonomy ID (all descendants) |
|
load the list of all proteins for given taxonomy ID (any level) |
|
Use PSICQUIC to query for molecular interactions (using MIQL, specifying database and output format) |
|
download PSICQUIC query search result (only IMEx databases) to R library - queryPSICQUIC package - data directory |
|
Retrieve molecular interactions for the random set of proteins (of a particular taxon) |
|
read Interactome into data.table |
|
Remove interactions if one participant doesn't have FASTA sequence |
|
Remove interactions if one participant has obsolete Uniprot accession (ID) |
|
Remove self loops (self-interactions) |
|
|
|
|
|
Retrieve interactions for a list of interactors (given data table, not using webservice) |
|
Filter molecular interactions by interaction detection methods and / or participant identification method |
|
Filter molecular interactions by Pubmed ID |


| Package | Description |
|---|---|
| com.programmerdan.minecraft.banstick.containers |
Handles containment of results or other things.
|
| com.programmerdan.minecraft.banstick.data |
Data packages for BanStick; wrappers for DAO, etc.
|
| com.programmerdan.minecraft.banstick.handler |
This package holds all the various handlers for behaviors, actions, and interactions.
|
| Modifier and Type | Method and Description |
|---|---|
void |
BanResult.addPlayer(BSPlayer player) |
| Modifier and Type | Method and Description |
|---|---|
static BSPlayer |
BSPlayer.byId(long pid)
Direct lookup for a BSPlayer by database ID
|
static BSPlayer |
BSPlayer.byUUID(UUID uuid)
Get player by UUID, pull from DB if not cached already.
|
static BSPlayer |
BSPlayer.create(org.bukkit.entity.Player player)
Create a new player from the Bukkit object
|
static BSPlayer |
BSPlayer.create(UUID playerId) |
static BSPlayer |
BSPlayer.create(UUID playerId,
String name) |
BSPlayer |
BSShare.getFirstPlayer() |
BSPlayer |
BSExclusion.getFirstPlayer() |
BSPlayer |
BSSession.getPlayer() |
BSPlayer |
BSShare.getSecondPlayer() |
BSPlayer |
BSExclusion.getSecondPlayer() |
| Modifier and Type | Method and Description |
|---|---|
Set<BSPlayer> |
BSExclusions.getExcludedPlayers() |
List<BSPlayer> |
BSShares.getSharesWith() |
Set<BSPlayer> |
BSPlayer.getTransitiveSharedPlayers(boolean respectExclusions)
Recursively retrieves all other BSPlayers this one has a transitive IP connection to.
|
| Modifier and Type | Method and Description |
|---|---|
void |
BSShares.addNew(BSShare share,
BSPlayer player) |
void |
BSPlayer.addShare(BSShare share,
BSPlayer player) |
static List<BSShare> |
BSShare.byPlayer(BSPlayer player) |
static BSExclusion |
BSExclusion.create(BSPlayer first,
BSPlayer second) |
static BSSession |
BSSession.create(BSPlayer pid,
Date sessionStart,
BSIP iid) |
BSExclusion |
BSPlayer.getExclusionWith(BSPlayer player) |
BSExclusion |
BSExclusions.getExclusionWith(BSPlayer player) |
List<BSShare> |
BSShares.getSharesWith(BSPlayer player) |
boolean |
BSExclusions.hasExclusionWith(BSPlayer player) |
static BSShares |
BSShares.onlyFor(BSPlayer player) |
static BSSessions |
BSSessions.onlyFor(BSPlayer newPlayer) |
static BSIPs |
BSIPs.onlyFor(BSPlayer newPlayer) |
static BSExclusions |
BSExclusions.onlyFor(BSPlayer player) |
static void |
BSLog.register(com.programmerdan.minecraft.banstick.data.BSLog.Action action,
BSPlayer bsPlayer,
BSBan... bid) |
List<BSShare> |
BSPlayer.sharesWith(BSPlayer player) |
| Modifier and Type | Method and Description |
|---|---|
BSPlayer |
BanStickDatabaseHandler.getOrCreatePlayer(org.bukkit.entity.Player player) |
BSPlayer |
BanStickDatabaseHandler.getPlayer(UUID uuid) |
| Modifier and Type | Method and Description |
|---|---|
static BanResult |
BanHandler.doShareBan(BSShare share,
BSPlayer limitBanTo,
String message,
Date banEnd,
boolean adminBan) |
Copyright © 2020. All rights reserved.


The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML, CSS, and SVG. It enables you to batch-check documents from the command line and from other scripts/apps, and to deploy your own instance of the checker as a service (like validator.w3.org/nu). Its source code is available, as are instructions on how to build, test, and run the code.
A Dockerfile (see Pulling the Docker image below) and npm, pip, and brew packages are also available.
It is released upstream in these formats:
vnu.jar
— a portable version you can use on any system that has Java 8 or above installed
vnu.war
— for deploying the checker service through a servlet container such as Tomcat
Note: The vnu.jar and vnu.war files require you to have Java 8 or above installed. The pre-compiled Linux, Windows, and macOS binaries don’t require you to have any version of Java already installed at all.
You can get the latest release or run docker run -it --rm -p 8888:8888 ghcr.io/validator/validator:latest
, npm install vnu-jar
, npm install --registry=https://npm.pkg.github.com @validator/vnu-jar
, brew install vnu
, or pip install html5validator
and see the Usage and Web-based checking sections below. Or automate your document checking with a frontend such as:
pip
package (for integration in Travis CI, CircleCI, CodeShip, Jekyll, Pelican, etc.)
Usage · Options · Web-based checking
vnu-runtime-image/bin/vnu OPTIONS FILES
(Linux or macOS)vnu-runtime-image\bin\vnu.bat OPTIONS FILES
(Windows)java -jar ~/vnu.jar OPTIONS FILES
(any system with Java8+ installed)
…where FILES
are the documents to check, and OPTIONS
are zero or more of the following options:
--errors-only --Werror --exit-zero-always --stdout --asciiquotes --user-agent USER_AGENT --no-langdetect --no-stream --filterfile FILENAME --filterpattern PATTERN --css --skip-non-css --also-check-css --svg --skip-non-svg --also-check-svg --xml --html --skip-non-html --format gnu|xml|json|text --help --verbose --version
The Options section below provides details on each option, and the rest of this section provides some specific examples.
Note:
Throughout these examples, replace ~/vnu.jar
with the actual path to that jar file on your system, and replace vnu-runtime-image/bin/vnu
and vnu-runtime-image\bin\vnu.bat
with the actual path to the vnu
or vnu.bat
program on your system — or if you add the vnu-runtime-image/bin
or vnu-runtime-image\bin
directory your system PATH
environment variable, you can invoke the checker with just vnu
.
To check one or more documents from the command line:
vnu-runtime-image/bin/vnu FILE.html FILE2.html FILE3.html...
vnu-runtime-image\bin\vnu.bat FILE.html FILE2.html FILE3.html...
java -jar ~/vnu.jar FILE.html FILE2.html FILE3.html...
Note: If you get a StackOverflowError
error when invoking the checker, try adjusting the thread stack size by providing the -Xss
option to java:
java -Xss512k -jar ~/vnu.jar ...
vnu-runtime-image/bin/java -Xss512k \
-m vnu/nu.validator.client.SimpleCommandLineValidator ...
To check all documents in a particular directory DIRECTORY_PATH
as HTML:
java -jar ~/vnu.jar DIRECTORY_PATH
vnu-runtime-image/bin/vnu DIRECTORY_PATH
vnu-runtime-image\bin\vnu.bat DIRECTORY_PATH
Note:
The examples in this section assume you have the vnu-runtime-image/bin
or vnu-runtime-image\bin
directory in your system PATH
environment variable. If you’re using the jar file instead, replace vnu
in the examples with java -jar ~/vnu.jar
.
To check all documents in a particular directory DIRECTORY_PATH
as HTML, but skip any documents whose names don’t end with the extensions .html
, .htm
, .xhtml
, or .xht
:
vnu --skip-non-html DIRECTORY_PATH
To check all documents in a particular directory as CSS:
vnu --css DIRECTORY_PATH
To check all documents in a particular directory as CSS, but skip any documents whose names don’t end with the extension .css
:
vnu --skip-non-css DIRECTORY_PATH
To check all documents in a particular directory, with documents whose names end in the extension .css
being checked as CSS, and all other documents being checked as HTML:
vnu --also-check-css DIRECTORY_PATH
To check all documents in a particular directory as SVG:
vnu --svg DIRECTORY_PATH
To check all documents in a particular directory as SVG, but skip any documents whose names don’t end with the extension .svg
:
vnu --skip-non-svg DIRECTORY_PATH
To check all documents in a particular directory, with documents whose names end in the extension .svg
being checked as SVG, and all other documents being checked as HTML:
vnu --also-check-svg DIRECTORY_PATH
To check a Web document:
vnu URL example: vnu http://example.com/foo
To check standard input:
vnu - example:
echo '<!doctype html><title>...' | vnu -
echo '<!doctype html><title>...' | java -jar ~/vnu.jar -
When used from the command line as described in this section, the checker provides the following options:
Specifies whether ASCII quotation marks are substituted for Unicode smart quotation marks in messages. default: [unset; Unicode smart quotation marks are used in messages]
Specifies that only error-level messages and non-document-error messages are reported (so that warnings and info messages are not reported). default: [unset; all messages reported, including warnings & info messages]
Makes the checker exit non-zero if any warnings are encountered (even if there are no errors). default: [unset; checker exits zero if only warnings are encountered]
Makes the checker exit zero even if errors are reported for any documents. default: [unset; checker exits 1 if errors are reported for any documents]
Makes the checker report errors and warnings to stdout rather than stderr. default: [unset; checker reports errors and warnings to stderr]
Specifies a filename. Each line of the file contains either a regular expression or starts with "#" to indicate the line is a comment. Any error message or warning message that matches a regular expression in the file is filtered out (dropped/suppressed). default: [unset; checker does no message filtering]
Specifies a regular expression. Any error message or warning message that
matches the regular expression is filtered out (dropped/suppressed).
As with all other checker options, this option may only be
specified once. So to filter multiple error messages or warning messages,
you must provide a single regular expression that will match all the
messages. The typical way to do that for regular expressions is to OR
multiple patterns together using the "|
" character.
default: [unset; checker does no message filtering]
Specifies the output format for reporting the results. default: "gnu" possible values: "gnu", "xml", "json", "text" [see information at URL below] https://github.com/validator/validator/wiki/Service-%C2%BB-Common-params#out
Shows detailed usage information.
Check documents as CSS but skip documents that don’t have *.css extensions. default: [unset; all documents found are checked]
Force all documents to be checked as CSS, regardless of extension. default: [unset]
Check documents as SVG but skip documents that don’t have *.svg extensions. default: [unset; all documents found are checked]
Force all documents to be checked as SVG, regardless of extension. default: [unset]
Skip documents that don’t have *.html, *.htm, *.xhtml, or *.xht extensions. default: [unset; all documents found are checked, regardless of extension]
Forces any *.xhtml or *.xht documents to be parsed using the HTML parser. default: [unset; XML parser is used for *.xhtml and *.xht documents]
Forces any *.html documents to be parsed using the XML parser. default: [unset; HTML parser is used for *.html documents]
Check CSS documents (in addition to checking HTML documents). default: [unset; no documents are checked as CSS]
Check SVG documents (in addition to checking HTML documents). default: [unset; no documents are checked as SVG]
Specifies the value of the User-Agent
request header to send when
checking HTTPS/HTTP URLs.
default: "Validator.nu/LV"
Disables language detection, so that documents are not checked for missing or mislabeledhtml[lang]
attributes. default: [unset; language detection &html[lang]
checking are performed]
Forces all documents to be be parsed in buffered mode instead of streaming mode (causes some parse errors to be treated as non-fatal document errors instead of as fatal document errors). default: [unset; non-streamable parse errors cause fatal document errors]
Specifies "verbose" output. (Currently this just means that the names of files being checked are written to stdout.) default: [unset; output is not verbose]
Shows the checker version number.
The Nu Html Checker — along with being usable as a standalone command-line client — can be run as an HTTP service, similar to validator.w3.org/nu, for browser-based checking of HTML documents, CSS stylesheets, and SVG images over the Web. To that end, the checker is released as several separate packages:
vnu.jar
for
deploying the checker as a simple self-contained service on a system with Java installed
vnu.war
for
deploying the checker to a servlet container such as Tomcat
All deployments expose a REST API that enables checking of HTML documents, CSS stylesheets, and SVG images from other clients, not just web browsers. And the Linux, Windows, and macOS binaries and vnu.jar
package also include a simple HTTP client that enables you to either send documents to a locally-running instance of the checker HTTP service — for fast command-line checking — or to any remote instance of the checker HTTP service running anywhere on the Web.
The
latest
releases of the Linux, Windows, and macOS binaries and vnu.jar and
vnu.war packages
are available from the validator
project at github.
The following are detailed instructions on using them.
Note:
Throughout these instructions, replace ~/vnu.jar
with the actual path to that jar file on your system, and replace vnu-runtime-image/bin/java
and vnu-runtime-image\bin\java.exe
with the actual path to the checker java
or java.exe
program on your system — or if you add the vnu-runtime-image/bin
or vnu-runtime-image\bin
directory your system PATH
environment variable, you can invoke the checker with just java nu.validator.servlet.Main 8888
.
Standalone · Servlet · Client · Options
To run the checker as a standalone service (using a built-in Jetty server), open a new terminal window and invoke the checker like this:
java -cp ~/vnu.jar nu.validator.servlet.Main 8888
vnu-runtime-image/bin/java nu.validator.servlet.Main 8888
vnu-runtime-image\bin\java.exe nu.validator.servlet.Main 8888
Then open
http://<IP_ADDRESS>:8888
in a browser. (To listen on a different port, replace 8888
with the port number.)
Warning: Future checker releases will bind by default to the address <IP_ADDRESS>
. Your checker deployment might become unreachable unless you use the nu.validator.servlet.bind-address
system property to bind the checker to a different address:
java -cp ~/vnu.jar \ -Dnu.validator.servlet.bind-address=<IP_ADDRESS> \ nu.validator.servlet.Main 8888
vnu-runtime-image/bin/java \ -Dnu.validator.servlet.bind-address=<IP_ADDRESS> \ nu.validator.servlet.Main 8888
vnu-runtime-image\bin\java.exe \ -Dnu.validator.servlet.bind-address=<IP_ADDRESS> \ nu.validator.servlet.Main 8888
When you open http://<IP_ADDRESS>:8888 (or whatever URL corresponds to the nu.validator.servlet.bind-address
value you’re using), you’ll see a form similar to validator.w3.org/nu that allows you to enter the URL of an HTML document, CSS stylesheet, or SVG image, and have the results of checking that resource displayed in the browser.
Note: If you get a StackOverflowError
error when using the checker, try adjusting the thread stack size by providing the -Xss
option to java:
java -Xss512k -cp ~/vnu.jar nu.validator.servlet.Main 8888
vnu-runtime-image/bin/java -Xss512k -m vnu/nu.validator.servlet.Main 8888
To run the checker inside of an existing servlet container such as Apache Tomcat you will need to deploy the vnu.war
file to that server following its documentation. For example, on Apache Tomcat you could do this using the Manager application or simply by copying the file to the webapps
directory (since that is the default appBase
setting). Typically you would see a message similar to the following in the catalina.out
log file.
May 7, 2014 4:42:04 PM org.apache.catalina.startup.HostConfig deployWAR INFO: Deploying web application archive /var/lib/tomcat7/webapps/vnu.war
Assuming your servlet container is configured to receive HTTP requests sent to localhost
on port 80
and the context root of this application is vnu
(often the default behavior is to use the WAR file's filename as the context root unless one is explicitly specified) you should be able to access the application by connecting to http://localhost/vnu/.
Note: You may want to customize the /WEB-INF/web.xml
file inside the WAR file (you can use any ZIP-handling program) to modify the servlet filter configuration. For example, if you wanted to disable the inbound-size-limit filter, you could comment out that filter like this:
<!-- <filter> <filter-name>inbound-size-limit-filter</filter-name> <filter-class>nu.validator.servlet.InboundSizeLimitFilter</filter-class> </filter> <filter-mapping> <filter-name>inbound-size-limit-filter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping> -->
The checker is packaged with an HTTP client you can use from the command line to either send documents to a locally-running instance of the checker HTTP service — for fast command-line checking — or to a remote instance anywhere on the Web.
To check documents locally using the packaged HTTP client, do this:
java -cp ~/vnu.jar nu.validator.client.HttpClient FILE.html...
vnu-runtime-image/bin/java nu.validator.client.HttpClient FILE.html...
java -cp ~/vnu.jar -Dnu.validator.client.port=80 \ -Dnu.validator.client.host=html5.validator.nu \ nu.validator.client.HttpClient FILE.html...…or like this:
vnu-runtime-image/bin/java -Dnu.validator.client.port=80 \ -Dnu.validator.client.host=html5.validator.nu \ nu.validator.client.HttpClient FILE.html...
Other options are documented below.
When using the packaged HTTP client for sending documents to an instance of the checker HTTP service for checking, you can set Java system properties to control configuration options for the checker behavior.
For example, you can suppress warning-level messages and only show error-level ones by setting the value of the nu.validator.client.level
system property to error
, like this:
java -Dnu.validator.client.level=error \
-cp ~/vnu.jar nu.validator.client.HttpClient FILE.html...
…or like this:
vnu-runtime-image/bin/java -Dnu.validator.client.level=error \
-cp ~/vnu.jar nu.validator.client.HttpClient FILE.html...
Most of the properties listed below map to the common input parameters for the checker service, as documented at github.com/validator/validator/wiki/Service-»-Common-params.
Specifies the hostname of the checker for the client to connect to.
default: "<IP_ADDRESS>"
Specifies the hostname of the checker for the client to connect to.
default: "8888"
example: java -Dnu.validator.client.port=8080 -jar ~/vnu.jar FILE.html
Specifies the severity level of messages to report; to
suppress warning-level messages, and only show error-level ones, set
this property to "error".
default: [unset]
possible values: "error"
example: java -Dnu.validator.client.level=error -jar ~/vnu.jar FILE.html
Specifies which parser to use. default: "html"; or, for *.xhtml input files, "xml" possible values: [see information at URL below] https://github.com/validator/validator/wiki/Service-%C2%BB-Common-params#parser
Specifies the encoding of the input document. default: [unset]
Specifies the content-type of the input document. default: "text/html"; or, for *.xhtml files, "application/xhtml+xml"
Specifies the output format for messages. default: "gnu" possible values: [see information at URL below] https://github.com/validator/validator/wiki/Service-%C2%BB-Common-params#out
Specifies whether ASCII quotation marks are substituted for Unicode smart quotation marks in messages. default: "yes" possible values: "yes" or "no"
Binds the validator service to the specified IP address. default: <IP_ADDRESS> [causes the checker to listen on all interfaces] possible values: The IP address of any network interface example: -Dnu.validator.servlet.bind-address=<IP_ADDRESS>
Specifies the connection timeout. default: 5000 possible values: number of milliseconds example: -Dnu.validator.servlet.connection-timeout=5000
Specifies the socket timeout. default: 5000 possible values: number of milliseconds example: -Dnu.validator.servlet.socket-timeout=5000
You can pull the checker Docker image from https://ghcr.io/validator/validator in the GitHub container registry.
To pull and run the latest version of the checker:
docker run -it --rm -p 8888:8888 ghcr.io/validator/validator:latest
To pull and run a specific tag/version of the checker from the container registry — for example, the 17.11.1
version:
docker run -it --rm -p 8888:8888 ghcr.io/validator/validator:17.11.1
To bind the checker to a specific address (rather than have it listening on all interfaces):
docker run -it --rm -p <IP_ADDRESS>:8888:8888 ghcr.io/validator/validator:latest
To make the checker run with a connection timeout and socket timeout different than the default 5 seconds, use the CONNECTION_TIMEOUT_SECONDS
and SOCKET_TIMEOUT_SECONDS
environment variables:
docker run -it --rm \ -e CONNECTION_TIMEOUT_SECONDS=15 \ -e SOCKET_TIMEOUT_SECONDS=15 \ -p 8888:8888 \ validator/validator
To make the checker run with particular Java system properties set, use the JAVA_TOOL_OPTIONS
environment variable:
docker run -it --rm \
-e JAVA_TOOL_OPTIONS=-Dnu.validator.client.asciiquotes=yes \
-p 8888:8888 \
validator/validator
To define a service named vnu
for use with docker compose
, create a Compose file named docker-compose.yml
(for example), with contents such as the following:
version: '2' services: vnu: image: validator/validator ports: - "8888:8888" network_mode: "host" #so "localhost" refers to the host machine.
Follow the steps below to build, test, and run the checker such that you can open http://<IP_ADDRESS>:8888/
in a Web browser to use the checker Web UI.
JAVA_HOME
environment variable:
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 <-- Ubuntu, etc.
export JAVA_HOME=$(/usr/libexec/java_home) <-- MacOS
git clone https://github.com/validator/validator.git
cd validator
python ./checker.py all
The first time you run the checker Python script, you’ll need to be online and the build will need time to download several megabytes of dependencies.
The steps above will build, test, and run the checker such that you can open http://<IP_ADDRESS>:8888/
in a Web browser to use the checker Web UI.
Warning: Future checker releases will bind by default to the address <IP_ADDRESS>
. Your checker deployment might become unreachable unless you use the --bind-address
option to bind the checker to a different address:
python ./checker.py --bind-address=<IP_ADDRESS> all
Use python ./checker.py --help
to see command-line options for controlling the behavior of the script, as well as build-target names you can call separately; e.g.:
python ./checker.py build # to build only
python ./checker.py build test # to build and test
python ./checker.py run # to run only
python ./checker.py jar # to compile vnu.jar
python ./checker.py update-shallow && \
python ./checker.py dldeps && \
python ./checker.py jar # to compile vnu.jar
faster


Diving club for the south-west UK - let's make a splash!
This is the diving club founded by the dentist diver who stole Nemo from his father
Here's a blockquote. Wow. Get me out of the is tutorial


xjc - Java(TM) Architecture for XML Binding
Binding Compiler
f3Specification Version: 2.1
f3Reference Implementation (RI) Version: 2.1.3
The binding compiler can be launched using the appropriate f2xjc shell script in the f2bin directory for your platform. We also provide an Ant task to run the binding complier - see the instructions for
f2using the XJC Ant task @
https://jaxb.dev.java.net/nonav/2.1.3/docs/xjcTask.html.
f2% xjc -help
Output
f3 Usage: xjc [-options ...] <schema file/URL/dir/jar> ... [-b <bindinfo>] ... If dir is specified, all schema files in it will be compiled. If jar is specified, /META-INF/sun-jaxb.episode binding file will be compiled. Options: -nv : do not perform strict validation of the input schema(s) -extension : allow vendor extensions - do not strictly follow the Compatibility Rules and App E.2 from the JAXB Spec -b <file/dir> : specify external bindings files (each <file> must have its own -b); if a directory is given, **/*.xjb is searched -d <dir> : generated files will go into this directory -p <pkg> : specifies the target package -httpproxy <proxy> : set HTTP/HTTPS proxy; format is [user[:password]@]proxyHost:proxyPort -httpproxyfile <f> : works like -httpproxy but takes the argument in a file to protect password -classpath <arg> : specify where to find user class files -catalog <file> : specify catalog files to resolve external entity references; support TR9401, XCatalog, and OASIS XML Catalog format -readOnly : generated files will be in read-only mode -npa : suppress generation of package level annotations (**/package-info.java) -no-header : suppress generation of a file header with timestamp -target 2.0 : behave like XJC 2.0 and generate code that doesnt use any 2.1 features -xmlschema : treat input as W3C XML Schema (default) -relaxng : treat input as RELAX NG (experimental,unsupported) -relaxng-compact : treat input as RELAX NG compact syntax (experimental,unsupported) -dtd : treat input as XML DTD (experimental,unsupported) -wsdl : treat input as WSDL and compile schemas inside it (experimental,unsupported) -verbose : be extra verbose -quiet : suppress compiler output -help : display this help message -version : display version information Extensions: -Xlocator : enable source location support for generated code -Xsync-methods : generate accessor methods with the 'synchronized' keyword -mark-generated : mark the generated code as @javax.annotation.Generated -episode <FILE> : generate the episode file for separate compilation
-nv By default, the XJC binding compiler performs strict validation of the source schema before processing it. Use this option to disable strict schema validation. This does not mean that the binding compiler will not perform any validation, it simply means that it will perform less-strict validation.
-extension By default, the XJC binding compiler strictly enforces the rules outlined in the Compatibility chapter of the JAXB Specification. Appendix E.2 defines a set of W3C XML Schema features that are not completely supported by JAXB v1.0. In some cases, you may be allowed to use them in the "-extension" mode enabled by this switch. In the default (strict) mode, you are also limited to using only the binding customizations defined in the specification. By using the "-extension" switch, you will be allowed to use the JAXB Vendor Extensions
-b <file> Specify one or more external binding files to process. (Each binding file must have its own f2"-b" switch.) The syntax of the external binding files is extremely flexible. You may have a single binding file that contains customizations for multiple schemas or you can break the customizations into multiple bindings files: f2xjc schema1.xsd schema2.xsd schema3.xsd -b bindings123.xjb
f2xjc schema1.xsd schema2.xsd schema3.xsd -b bindings1.xjb -b bindings2.xjb -b bindings3.xjb In addition, the ordering of the schema files and binding files on the command line does not matter.
-d <dir> By default, the XJC binding compiler will generate the Java content classes in the current directory. Use this option to specify an alternate output directory. The output directory must already exist, the XJC binding compiler will not create it for you.
-p <pkg> Specifying a target package via this command-line option overrides any binding customization for package name and the default package name algorithm defined in the specification.
-httpproxy <proxy> Specify the HTTP/HTTPS proxy. The format is [user[:password]@]proxyHost[:proxyPort]. The old f2-host and f2-port are still supported by the RI for backwards compatibility, but they have been deprecated. Note that the password specified with this option is an argument that is visible to other users who use the f2top command, for example. For greater security, use f2-httpproxyfile, below.
-httpproxyfile <file> Specify the HTTP/HTTPS proxy using a file. Same format as above, but the password specified in the file is not visible to other users.
-classpath <arg> Specify where to find client application class files used by the f2<jxb:javaType> and f2<xjc:superClass> customizations.
-catalog <file> Specify catalog files to resolve external entity references. Supports TR9401, XCatalog, and OASIS XML Catalog format. Please read the XML Entity and URI Resolvers document or the f2catalog-resolver sample application.
-readOnly By default, the XJC binding compiler does not write-protect the Java source files it generates. Use this option to force the XJC binding compiler to mark the generated Java sources read-only.
-npa Supress the generation of package level annotations into **/package-info.java. Using this switch causes the generated code to internalize those annotations into the other generated classes.
-no-header Supress the generation of a file header comment that includes some note and timestamp. Using this makes the generated code more diff-friendly.
-target 2.0 Avoid generating code that relies on any JAXB 2.1 features. This will allow the generated code to run with JAXB 2.0 runtime (such as JavaSE 6.)
-xmlschema Treat input schemas as W3C XML Schema (default). If you do not specify this switch, your input schemas will be treated as W3C XML Schema.
-relaxng Treat input schemas as RELAX NG (experimental, unsupported). Support for RELAX NG schemas is provided as a JAXB Vendor Extension.
-relaxng-compact Treat input schemas as RELAX NG compact syntax(experimental, unsupported). Support for RELAX NG schemas is provided as a JAXB Vendor Extension.
-dtd Treat input schemas as XML DTD (experimental, unsupported). Support for RELAX NG schemas is provided as a JAXB Vendor Extension.
-wsdl Treat input as WSDL and compile schemas inside it (experimental,unsupported).
-quiet Suppress compiler output, such as progress information and warnings.
-verbose Be extra verbose, such as printing informational messages or displaying stack traces upon some errors.
-help Display a brief summary of the compiler switches.
-version Display the compiler version information.
<schema file/URL/dir> Specify one or more schema files to compile. If you specify a directory, then xjc will scan it for all schema files and compile them.
Non-Standard Command Line Options
-Xlocator Causes the generated code to expose SAX Locator information about the source XML in the Java bean instances after unmarshalling.
-Xsync-methods Causes all of the generated method signatures to include the f2synchronized keyword.
-mark-generated Mark the generated code with the annotation<EMAIL_ADDRESS>-episode <file> Generate the specified episode file for separate compilation.
Deprecated and Removed Command Line Options
-host & -port These options have been deprecated and replaced with the f3-httpproxy option. For backwards compatibility, we will continue to support these options, but they will no longer be documented and may be removed from future releases.
-use-runtime Since the JAXB 2.0 specification has defined a portable runtime, it is no longer necessary for the JAXB RI to generate **/impl/runtime packages. Therefore, this switch is obsolete and has been removed.
-source The -source compatibility switch was introduced in the first JAXB 2.0 Early Access release. We have decided to remove this switch from future releases of JAXB 2.0. If you need to generate 1.0.x code, please use an installation of the 1.0.x codebase.
Compiler Restrictions
In general, it is safest to compile all related schemas as a single unit with the same binding compiler switches.
Please keep the following list of restrictions in mind when running xjc. Most of these issues only apply when compiling multiple schemas with multiple invocations of xjc.
o To compile multiple schemas at the same time, keep the following precedence rules for the target Java package name in mind:
1. The "f2-p" command line option takes the highest precedence.
2. <f2jaxb:package> customization
3. If f2targetNamespace is declared, apply f2targetNamespace -> Java package name algorithm defined in the specification.
4. If no f2targetNamespace is declared, use a hardcoded package named "generated".
o It is not legal to have more than one <f2jaxb:schemaBindings> per namespace, so it is impossible to have two schemas in the same target namespace compiled into different Java packages.
o All schemas being compiled into the same Java package must be submitted to the XJC binding compiler at the same time - they cannot be compiled independently and work as expected.
o Element substitution groups spread across multiple schema files must be compiled at the same time.
o Running the binding compiler (XJC): [
f2command-line instructions @
https://jaxb.dev.java.net/nonav/2.1.3/docs/xjc.html,
f2using the XJC Ant task @
https://jaxb.dev.java.net/nonav/2.1.3/docs/xjcTask.html]
o
f2Java Architecture for XML Binding (JAXB) @
http://docs.oracle.com/javase/7/docs/technotes/guides/xml/jaxb/index.html


Welcome to the PDX Doctor Search!
Search by a medical issue and doctor's last name to find a doctor in the Portland area who can provide treatment for you!
Your symptom or issue:
Search by Doctor's Last Name:
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{% include info-block.html title="What are Counter Questions?"
description="Its an open-sourced collection of interview questions collected from both sides of the game: Interviewer(s) and Interviewee."%}
{% include info-block.html title="Why use them?"
description="The interview process in ideal should be both sided conversation, so You as the Interviewee would like to prepare a set of questions for the Interviewer as well. " %}
{% include block-grid-featured.html%}
{% include footer.html %}


Hong Kong of the World:
the Internationalism of Nationalism
Justin Chun-ting Ho
University of Edinburgh
Sciences Po
The Bad Names of Nationalism
Nationalism is...
obsessive, unstable, ignorant, malignant, dishonest, lunatic, associated with isolationism, protectionism, and xenophobia.
(Herrera and Butkovich Kraus, 2016; Kersting, 2009;
Anderson-Nathe and Gharabaghi, 2017; Hjerm, 2004; Mayerfeld, 1998)
Meanwhile in Hong Kong...
Hong Kong Nationalism is
obsessive, unstable, ignorant, malignant, dishonest, lunatic, associated with isolationism, protectionism, and xenophobia.
The End
Patriotism and nationalism are not things with fixed natures; they are highly flexible political languages, ways of framing political arguments by appealing to the patria, the fatherland, the country, the nation.
(Brubaker, 2004)
Recent accounts of nationalism and populism also have paid too much attention on the content of the anti-immigrant or anti-minority arguments ... while they should be paying more attention at the dynamics involved.
(Triandafyllidou, 2021)
I argue...
Previous works on Hong Kong nationalism have placed too much focus on the relationship between Hong Kong and its most significant other, China
I aim to...
Understand Hong Kong nationalism against the context of a world of nations
A World of Nations
- Nations are interconnected, interdependent, and interacting with each other
- There can be more than one "Other"
- Each "Other" matters at a various degree to the nationalism in question
Data
- Nationalist Dataset:
Facebook page of key nationalist organisations in Hong Kong (8,783 posts)
- Comparison Dataset:
Facebook posts of all major political parties in Hong Kong (16,823 posts)
Why Facebook?
- An important platform of political communication (Michael Chan, Hsuan-Ting Chen & Francis L.F. Lee, 2016;
Hsuan-Ting Chen, Michael Chan & Francis L.F. Lee, 2016;
Francis L.F. Lee & Joseph Man Chan, 2015; Gary Tang & Francis L.F. Lee, 2013)
- A major channel of mobilization during the Umbrella Movement (Paul S. N. Lee, Clement Y. K. So & Louis Leung, 2015)
- All nationalist groups use Facebook
Comparing Political Camps
- Hong Kong as "global city"
- High affiliation to the identity of "global citizen"
- International elements in the Hong Kong identity
- International outreach of past pro-democracy movements
- A baseline for internationalism while holding political culture constant
Internationalism
- Inward-internationalism: the willingness to accept foreign influence
- Outward-internationalism: the attempts to project the nation in international arenas and invite international cooperation
Inward-internationalism
- Measured by counting the mentions of foreign countries
- Expect the nationalists to mention foreign countries less frequently than other political camps
International Experience
Colonialism
- Early development of Hong Kong's social institution and autonomy are attributed to British colonialism
- `Colonial legacies' are acknowledged and celebrated
Outward-internationalism
- Measured by English posts
- As an indicator of the intention to communicate with an international audience
- Expect the nationalists to publish less posts in English than other political camps
Appeals to international actors
- Foreign Consulate Generals and government officials
- US-HK Policy Act, Causeway Bay Books, and other political events
Oversea Visits
- Outreach to to various international actors
- Seeking aid and inviting foreign intervention
- Hong Kong as an aspiring member of the free world and a potential ally for other stateless-nations
Discussion
- Different manifestations of nationalism between the relationship with "THE significant other" and other "otherS"
- We need a nuanced understanding of the manifestation of nationalism against different context
- Contingent on political context
Thank You!
Twitter: @justin_ct_ho
Github: justinchuntingho
Email: justin.chunting.ho@sciencespo.fr


Please enter a matric number.
The check digit algorithm is based on a study on a number of NTU matriculation numbers, and has been verified with a number of real cases. However, the results are not guaranteed to be accurate. Since the algorithm only calculates the check digit of matriculation numbers, it is also not guaranteed that the numbers that pass the validation actually exist. Please use it for reference only.
If inaccurate result is displayed, please provide feedback here.
Please see here for more information about the algorithm.


Java Web Parts (JWP) is a project to house a number of small, reusable,
independant packages that contain utility-type code of general interest to
Java web application developers.
JWP is made up of a series of subpackages, each of which can be used
independently (except where noted in the subpackage summary). All of
the subpackages however depend on the javawebparts.core package, and also
on the Commons Logging external dependency. Aside from those, and aside from
a Java rumtime itself obviously, only the Servlet API is otherwise
required, but this should of course be supplied by your container.


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
For ESX systems, a single instance of this data object exists. It cannot be modified. It has these properties:
| key | samplingPeriod | length | name | level | enabled |
|---|---|---|---|---|---|
| 1 | 300 | 129600 | PastDay | null | true |
VirtualCenter Server system provides four instances of this data object by default, that apply globally to all system entities.
Example Collection Levels
VirtualCenter Server
uses the specifications configured in its historical intervals to collect metrics
from the ESX systems that it manages. The quantity of data collected depends on
the level settings for the server, and the level associated with a specific counter.
Both factors may change from one version of the products to the next. In general,
the lower the number, the smaller the amount of data collected. For VirtualCenter
Server 2.5, for example, the levels 1 through 4 collected data as follows:
Default properties for the four built-in historical intervals include:
| key | samplingPeriod | length | name | level | enabled |
|---|---|---|---|---|---|
| 1 | 300 | 86400 | Past day | 1 | true |
| 2 | 1800 | 604800 | Past week | 1 | true |
| 3 | 7200 | 2592000 | Past month | 1 | true |
| 4 | 86400 | 31536000 | Past year | 1 | true |
All values are in seconds. The default setting for vCenter Server is level 1, which retains sampled statistical data as follows:
Data older than a year is purged from the vCenter Server database.
Prior to version 2.5 of the API, this data object could be used in conjunction with the CreatePerfInterval operation, to define new, custom historical intervals. That operation has been deprecated: Adding and deleting objects of this type is no longer supported. However, the default historical intervals can be enabled or disabled, and can be modified within certain limits (with the UpdatePerfInterval operation).
Properties
| Name | Type | Description |
|---|---|---|
| enabled | xsd:boolean |
Indicates whether the interval is enabled (true) or disabled (false).
Disabling a historical interval prevents vCenter Server from collecting
metrics for that interval and all higher (longer) intervals.
For example, disabling the "Past Month" interval disables both "Past Month" and "Past Year" intervals. The system will aggregate and retain performance data using the "Past Day" and "Past Week" intervals only. Since VI API 2.5 |
| key | xsd:int |
A unique identifier for the interval.
Since VI API 2.5 |
| length | xsd:int |
Number of seconds that the statistics corresponding to this interval are
kept on the system.
|
| level* | xsd:int |
Statistics collection level for this historical interval. vCenter Server
will aggregate only those statistics that match the value of this
property for this historical interval. For ESX, the value of this
property is null. For vCenter Server, the value will be a number from 1
to 4.
Since VI API 2.5 |
| name | xsd:string |
The name of the historical interval. A localized string that provides a
name for the interval. Names include:
|
| samplingPeriod | xsd:int |
Number of seconds that data is sampled for this interval. The real-time
samplingPeriod is 20 seconds.
|
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


--- layout: default tab-title: Software title: Software ---
DeFi learning software: collection of packages from J.E.Y. labs. Stay tuned.


HPLC analysis of JZ-1. (A) The HPLC of JZ-1. (B) The 3D-HPLC of JZ-1. (C) Main chemical constituents in JZ-1 identified using HPLC. Peak number and identity: 1 berberine; 2 paeoniflorin; 3 neoastilbin; 4 astilbin; 5 paeonol; 6 dictamnine. (D) HPLC fingerprint of JZ-1 from ten batches.


Class: ActiveRecord::Encryption::KeyProvider
| Relationships & Source Files | |
| Extension / Inclusion / Inheritance Descendants | |
|
Subclasses:
|
|
| Inherits: | Object |
| Defined in: | activerecord/lib/active_record/encryption/key_provider.rb |
Overview
A KeyProvider
serves keys:
-
An encryption key
-
A list of potential decryption keys. Serving multiple decryption keys supports rotation-schemes where new keys are added but old keys need to continue working
Class Method Summary
- .new(keys) ⇒ KeyProvider constructor
Instance Method Summary
-
#decryption_keys(encrypted_message)
Returns the list of decryption keys.
-
#encryption_key
Returns the first key in the list as the active key to perform encryptions.
- #keys_grouped_by_id private
Constructor Details
.new(keys) ⇒ KeyProvider
# File 'activerecord/lib/active_record/encryption/key_provider.rb', line 11
def initialize(keys) @keys = Array(keys) end
Instance Method Details
#decryption_keys(encrypted_message)
Returns the list of decryption keys
When the message holds a reference to its encryption key, it will return an array with that key. If not, it will return the list of keys.
# File 'activerecord/lib/active_record/encryption/key_provider.rb', line 32
def decryption_keys( ) if .headers.encrypted_data_key_id keys_grouped_by_id[ .headers.encrypted_data_key_id] else @keys end end
#encryption_key
Returns the first key in the list as the active key to perform encryptions
When ActiveRecord::Encryption.config.store_key_references
is true, the key will include a public tag referencing the key itself. That key will be stored in the public headers of the encrypted message
# File 'activerecord/lib/active_record/encryption/key_provider.rb', line 20
def encryption_key @encryption_key ||= @keys.last.tap do |key| key. .encrypted_data_key_id = key.id if ActiveRecord::Encryption.config.store_key_references end @encryption_key end
#keys_grouped_by_id (private)
[ GitHub ]# File 'activerecord/lib/active_record/encryption/key_provider.rb', line 41
def keys_grouped_by_id @keys_grouped_by_id ||= @keys.group_by(&:id) end


import Resource from './resource';
import defaultResolver from './default-resolver';
import {paginateProductConnectionsAndResolve} from './paginators';
import productHelpers from './product-helpers';
// GraphQL
import productNodeQuery from './graphql/productNodeQuery.graphql';
import productNodesQuery from './graphql/productNodesQuery.graphql';
import productConnectionQuery from './graphql/productConnectionQuery.graphql';
import productByHandleQuery from './graphql/productByHandleQuery.graphql';
import productRecommendationsQuery from './graphql/productRecommendations.graphql';
/**
* The JS Buy SDK product resource
* @class
*/
class ProductResource extends Resource {
get helpers() {
return productHelpers;
}
/**
* Fetches all products on the shop.
*
* @example
* client.product.fetchAll().then((products) => {
* // Do something with the products
* });
*
* @param {Int} [pageSize] The number of products to fetch per page
* @return {Promise|GraphModel[]} A promise resolving with an array of `GraphModel`s of the products.
*/
fetchAll(first = 20) {
return this.graphQLClient
.send(productConnectionQuery, {first})
.then(defaultResolver('products'))
.then(paginateProductConnectionsAndResolve(this.graphQLClient));
}
/**
* Fetches a single product by ID on the shop.
*
* @example
* client.product.fetch('Xk9lM2JkNzFmNzIQ4NTIY4ZDFi9DaGVja291dC9lM2JkN==').then((product) => {
* // Do something with the product
* });
*
* @param {String} id The id of the product to fetch.
* @return {Promise|GraphModel} A promise resolving with a `GraphModel` of the product.
*/
fetch(id) {
return this.graphQLClient
.send(productNodeQuery, {id})
.then(defaultResolver('node'))
.then(paginateProductConnectionsAndResolve(this.graphQLClient));
}
/**
* Fetches multiple products by ID on the shop.
*
* @example
* const ids = ['Xk9lM2JkNzFmNzIQ4NTIY4ZDFi9DaGVja291dC9lM2JkN==', 'Z2lkOi8vc2hvcGlmeS9Qcm9kdWN0Lzc4NTc5ODkzODQ='];
* client.product.fetchMultiple(ids).then((products) => {
* // Do something with the products
* });
*
* @param {String[]} ids The ids of the products to fetch
* @return {Promise|GraphModel[]} A promise resolving with a `GraphModel` of the product.
*/
fetchMultiple(ids) {
return this.graphQLClient
.send(productNodesQuery, {ids})
.then(defaultResolver('nodes'))
.then(paginateProductConnectionsAndResolve(this.graphQLClient));
}
/**
* Fetches a single product by handle on the shop.
*
* @example
* client.product.fetchByHandle('my-product').then((product) => {
* // Do something with the product
* });
*
* @param {String} handle The handle of the product to fetch.
* @return {Promise|GraphModel} A promise resolving with a `GraphModel` of the product.
*/
fetchByHandle(handle) {
return this.graphQLClient
.send(productByHandleQuery, {handle})
.then(defaultResolver('productByHandle'))
.then(paginateProductConnectionsAndResolve(this.graphQLClient));
}
/**
* Fetches all products on the shop that match the query.
*
* @example
* client.product.fetchQuery({first: 20, sortKey: 'CREATED_AT', reverse: true}).then((products) => {
* // Do something with the first 10 products sorted by title in ascending order
* });
*
* @param {Object} [args] An object specifying the query data containing zero or more of:
* @param {Int} [args.first=20] The relay `first` param. This specifies page size.
* @param {String} [args.sortKey=ID] The key to sort results by. Available values are
* documented as {@link https://help.shopify.com/api/storefront-api/reference/enum/productsortkeys|Product Sort Keys}.
* @param {String} [args.query] A query string. See full documentation {@link https://help.shopify.com/api/storefront-api/reference/object/shop#products|here}
* @param {Boolean} [args.reverse] Whether or not to reverse the sort order of the results
* @return {Promise|GraphModel[]} A promise resolving with an array of `GraphModel`s of the products.
*/
fetchQuery({first = 20, sortKey = 'ID', query, reverse} = {}) {
return this.graphQLClient
.send(productConnectionQuery, {
first,
sortKey,
query,
reverse
})
.then(defaultResolver('products'))
.then(paginateProductConnectionsAndResolve(this.graphQLClient));
}
/**
* Find recommended products related to a given productId.
* To learn more about how recommendations are generated, see https://shopify.dev/themes/product-merchandising/recommendations.
*
* @example
* const productId 'Xk9lM2JkNzFmNzIQ4NTIY4ZDFi9DaGVja291dC9lM2JkN==';
* client.product.fetchProductRecommendations(productId).then((products) => {
* // Do something with the products
* });
*
* @param {String} productId The id of the product to fetch.
* @return {Promise|GraphModel[]} A promise resolving with an array of `GraphModel`s of the products.
*/
fetchRecommendations(productId) {
return this.graphQLClient
.send(productRecommendationsQuery, {productId})
.then(defaultResolver('productRecommendations'))
.then(paginateProductConnectionsAndResolve(this.graphQLClient));
}
}
export default ProductResource;


Tank Trouble
How to play
Use the arrow keys or WASD to drive your tank around and use the mouse to shoot.
Play now!


This Penalty Charge Notice is on hold for 60 days.
You may have been entitled to a Maternity Exemption Certificate between {{checkdate}}.
How to close this Penalty charge Notice
You need to:
- pay the £8.60 prescription charge
- go to your Midwife and apply for a Maternity Exemption Certificate
We will check our records again after 60 days.
Pay the prescription charge now
{% else %}We can not find your Medical Exemption Certificate
We can not find your Medical Exemption Certificate for 1 November and 30 November 2017.
But you may be able to apply for one.
How to close this Penalty Charge Notice
There are 3 options:
- provide proof you had a Medical Exemption Certificate
- pay the £8.60 prescription charge, and apply for a Medical Exemption Certificate
- pay the total of £51.60. You can pay in one payment or in instalments.


Question2 Create a webpage containing two input fields and a button A. Write something in the first input B. On click of the button, the content of input one should be copied in the second input


This one-pager is just an aggregator for links to useful and/or cool React.js components. Feel free to add to the list!
Hastily Created By Lee Salminen


A Touch of Matt Weaver
What ticks I create
Previous
Next
Galleries
UI/UX
Sculptural Pursuits
Sculptural Processes
Instagram
What makes me tick


How To Help
Welcome! The STAC community prides itself on being welcoming and collaborative, and we are excited you clicked on this page to learn how you might help!
We list a number of general ideas below, and you're welcome to find one and just start working away. But if you aren't sure where to start we encourage you to jump on our gitter chat and introduce yourself and what you might be interested in. We can help match with a good project given your skills and time availability. We are working on more resources to make it easier to figure out where to plugin for data or software help, but for now saying hi on the gitter is your best best.
We also do video calls where we discuss various issues and move the spec forward. We alternate between hour long calls where we aim to talk through the issues in front of us, and 3 hour long 'working sessions' where people find some dedicated time to work on STAC, with others on the video call at the same time for any questions or collaboration. And then the other main locus of community activity is the stac-spec repo. We also have a google group, called stac-spec, where there are occasional messages.
Help with Data
Perhaps the biggest way to help push forward STAC is by helping to translate more data into STAC compliant catalogs. There are a number of existing open data sets that we would like to make accessible as STAC, which need a volunteer who is tech savvy to use STAC tools or develop new ones.
If you are a data provider and are contemplating exposing data with STAC we'd love to talk to you. There are likely community members who can help if your data is going to be open. And we are happy to give advice on STAC best practices for proprietary. You can use STAC to help expose downsampled assets to attract customers, or as a format for your paying users or on your intranets.
One of the biggest goals right now is to bring in more diverse types of data. So those who have data that is different and are up for pioneering a new extension are highly appreciated. We want to ensure that the core spec is able to handle a wide variety of extensions representing lots of different data types before we settle in at 1.0, so we can ensure stability of the core.
Help with Software Development
While there are already a handful of STAC implementations, our goal is to have tools in every language, and integrations in every major geospatial-aware software project. So if you are a software developer who would like to help just get in touch and we can find a project for you. It could be helping with an existing one or starting something new - it's up to you. We have opportunities with servers, javascript clients, command line tools, client libraries, testing tools and more. And we are happy for those who have existing projects that they want to bring into the STAC ecosystem.
Help with Web Design
There copious opportunities for web designers, as we have none in our community as of yet. Even if you are just starting out with web design, we welcome your contribution and can give you meaningful projects. There is helping with this website, but also cool projects customizing different STAC HTML implementations in STAC Browser, so they don't all look the same. Creativity is welcome!
Help with Outreach
As a community we know one of the most important things is to spread the word about our work. This could be presenting at conferences or meet-ups, writing blog posts or whitepapers, or helping refine the website. We welcome anything from minor fixes on the site to creating full tutorials or new forms of outreach. We are a very open community, and are happy to help you develop skills and experience that help you.
Help with the Specification
The biggest way to help with the specification is to create compliant catalogs or software and give us feedback from that experience. That experience should ground you in what is possible, and then help us build the spec with pull requests from there. But we also welcome those who like to make things easier to read - organizing and editing the spec.


- "Steven" - STEVENS ADJUSTER
- "Steven" - STEVENS ADJUSTER
- I am 26 years old
- "Steven" - STEVENS ADJUSTER
- I am 26 years old
- I live in Makati City
- "Steven" - STEVENS ADJUSTER
- I am 26 years old
- I live in Makati City
- I am Married
- "Steven" - STEVENS ADJUSTER
- I am 26 years old
- I live in Makati City
- I am Married
- I am a Father
- "Steven" - STEVENS ADJUSTER
- I am 26 years old
- I live in Makati City
- I am Married
- I am a Father
- I am CS Undergrad
- "Steven" - STEVENS ADJUSTER
- I am 26 years old
- I live in Makati City
- I am Married
- I am a Father
- I am CS Undergrad
- I am Self Taught Programmer
I am a Member of the Church Of Jesus Christ of Latter-Day Saints
We are commonly called as
"Mormons"
The Church of Jesus Christ of Latter-Day Saints
served as a full time volunteer
Best Day Ever!!!
Processing Clerk / IT Supervisor
Celestine Faith
CODING
IS
LIFE
No Programmer is an Island
Work by yourself = Cool
Working as a Team = Way Cooler!!
Best Movie Ever!!
Miles: When will I know I am ready?
Peter Parker:
You won't. It's a LEAP OF FAITH


I've always felt i had a strong controll over my emotions when im with other
people because how other people see me is important to me so i've alway
thought through my actions. When i am by myself however things are a little
different, I tend to panic and blame myself when things go wrong and
although it may take longer, i do end up reminding myself that the problems
i face are sevearly insignificant compared to the problems i have faced and
the problems other people face which is the way i controll me emotions, just,
comparison realy. What this first chapter has taught me was how much further
I can push my own emotional controll and also how to describe it in words. I
like how he explains it to other engineers becasue thats exactly how i think
of things and it helped me to follow along and see the point in all of these
excersises.
I tried the two minutes of mindfulness inbetween finishing the first chapter
and writing this blog and i was surprised at how tiny my attention span
actualy is. I couldnt just sit and think about my breathing or even just
thinking about nothing for two minutes, my mind just kept wondering, but.
Being greatful for just being alive and just well, being, is somthing i
remind myself of everyday and is not a very forign concept. When i talk to
people i tend to talk about the good things in my life and it may come across
to some people as me being cocky and thinking im perfect and im sorry for
that. Honestly though that is just an insight into my mind because im
just greatful for everything in my life, and 'just being'. So i think I
either dont need the meditation or i need to practice at it a whole lot more.


This post is a summary of articles, websites and material in general about machine learning.
Articles
- RNNs
- Get an overview: The Unreasonable Effectiveness of Recurrent Neural Networks
- Understand them: Understanding LSTM Networks
- Using convolutional neural nets to detect facial keypoints tutorial
- Clever Methods of Overfitting
- Understanding the Bias-Variance Tradeoff
- An overview of gradient descent optimization algorithms
- cs231n: Convolutional Neural Networks (CNNs / ConvNets) (YouTube playlist)
- Evolution Strategies
- Warning Signs in Experimental Design and Interpretation: Not the typical ML literature, but interesting and relevant non the less as ML is driven by experiments.
Books
- Neural Networks and Deep Learning
- Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep Learning
MOOCs
- Coursera: Machine Learning by Andrew Ng
- CS224d: Deep Learning for Natural Language Processing
- Machine Learning: Kurs der Universität Oxford
- Convolutional Neural Networks for Visual Recognition: Kurs von Stanford
Tools
- Caffe: Used often for Computer Vision, but more and more people jump to TensorFlow
- sklearn: Python Machine learning toolkit
- Theano: Used often for Speech Recognition
- TensorFlow: C++ and Python, supports nVidia GPU training of neural networks
- Keras.io: Extremely nice for beginners
Data
Collections
Benchmark Datasets
- MNIST: 70 000 images of \(28 \times 28\) px with labels (digits 0-9)
- HASY: 168 233 images of \(32 \times 32\) px with labels (369 classes, all of them are characters)
- HWRT: Handwritten symbols (similar to HASY, but online data)
- IRIS: 3 classes, 50 items per class, 3 features per item
- KITTI: Road vision dataset
Lists:
- metacademy.org: A lot of material when you know what to look for
- computervisiononline.com: Eine Liste sehr vieler Datensätze
- YACVID: Computer Vision Index To Datasets
- dmoz.org
Cheat Cheats
Lists
- Machine Learning Tutorials by Ujjwal Karn (Facebook employee)
- Awesome Random Forest: A curated list of resources regarding tree-based methods and more, including but not limited to random forest, bagging and boosting.
Miscallenious
- Kaggle: Machine Learning Challenges
- Stack Exchange
- awesome-machine-learning: A list with MANY links to machine learning tools
- Demos:
- Neural Machine Translation: English → German, French
- write-math.com: Symbol recognition
- Tensorflow Playground: Demo for decision boundary of neural network
- lecture-demo.ira.uka.de: Rosenblatt-Perceptron, GMMs, ...
- demos.algorithmia.com/colorize-photos: Colorize a grayscale photo


Welcome to the Deep Learning album cover generator!
Type in Metal or EDM to generate your album image!
Genre


Alby Mathewson to bid farewell to Munster this weekend
by Richie McCormackIt's been confirmed that Alby Mathewson's time at Munster will come to an end this weekend.
The Kiwi scrum-half joined the province in August of 2018, originally as injury cover for Conor Murray.
The 33-year old proved an almost instantly-popular acquisition, especially with his first try coming in a 30-22 Pro 14 defeat to Leinster in October of 2018.
His original four-month stay turned into fifteen months, with Mathewson retained as cover while Conor Murray was away with Ireland at the Rugby World Cup in Japan.
Munster have confirmed that Mathewson will have his final involvement with the province in their Heineken Champions Cup pool 4 meeting with Racing 92 at Thomond Park.
The province have hailed his impact and how Mathewson got "stuck in from the get-go, and giving everything to the red jersey".
Mathewson himself added his farewell on Twitter, "Just want to say thank you to the whole [Munster] organization for having me.
"I’m lucky to have played for such a world-class and historical club.
"Love my team mates and will miss them a lot.
"Thanks Limerick for having me. To all the supporters you guys are unreal."
Mathewson was a second-half substitute for Murray in Saturday's bonus point 32-13 victory away to the Ospreys in round 1 of their Pool 4 games.
A veteran of Toulon, Bristol, the Blues and the Hurricanes - Mathewson is now tasked with finding a new home for the rest of this season.


Blog: Bayesian Sets.
• Tutorials
Bayesian Sets Graphical Model:
Bayesian sets are simple graphical models used to expand a set. For instance, suppose you are given a set of few words (or items) which we refer as “seeds” and we wish to expand this set to include all similar words from the given text corpus. Then, we can employ Bayesian sets which rank each item based on its importance of belonging to seed set.
Let be a data set of items, and be an item from this set. Assume the user provides a query set which is a small subset of , bayesian sets rank each item by . This probability ratio can be interpreted as the ratio of the joint probability of observing and to the probability of independently observing and .
Assume that the parameterized model is where are the parameters as shown in figure above. Here, we assume that is represented by a binary feature vector and is the weight associated with feature . Then,
For each (Note: vector component is and bold letters are vectors):
The conjugate prior for the parameters of a Bernoulli distribution is the Beta distribution:
The log of the score is linear in features of :
Thus, bayesian sets essentially performs feature selection.
For models where is parametrized using exponential families, we have a similar expression but may or may not be linear in features of .
Exponential Families:
References:
- Ghahramani, Zoubin, and Katherine A. Heller. “Bayesian sets.” NIPS. Vol. 2. 2005. [PDF]
- Verma, Saurabh, and Estevam R. Hruschka Jr. “Coupled bayesian sets algorithm for semi-supervised learning and information extraction.” Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2012. [PDF]


Sheet1
Issue,Solution,Suggested by,Updated Date
Logging in using SEED from Agama using LITE mode
might compromise account,Send funds to a newly generated address using Verus agama, Ledger or a centralized Exchange,SHossain#0007,June 5
Logging in using WIF from Agama using LI...


Thank you for visiting my web page! I'm currently looking for a beginner front-end developer position or similar jobs within reasonable distance of Los Angeles.
I am open to constructive criticism, questions, collaborations, and conversations related to the web development field. If you would like to contact me, please email me at<EMAIL_ADDRESS>or do it here by filling out the contact form.


Repliss Verification Tool for Replicated Information Systems
Repliss
is a verification tool for replicated information systems with strong
correctness guarantees.
It can be used to build dependable applications on top of highly available databases like AntidoteDB.
Invariants written in Repliss can be checked using automatic testing to find bugs in an application and they can be formally verified to prove the absence of bugs.
To learn more, read the User Documentation or try the Web Demo below.