| 1st |
simplejson
Simple, fast, extensible JSON encoder/decoder for Python
|
182,739,575
|
|
| 2nd |
setuptools
Download, build, install, upgrade, and uninstall Python packages -- easily!
|
63,758,431
|
|
| 3rd |
six
Python 2 and 3 compatibility utilities
|
54,950,976
|
|
| 4th |
requests
Python HTTP for Humans.
|
53,961,784
|
|
| 5th |
virtualenv
Virtual Python Environment builder
|
46,718,553
|
|
| 6th |
pip
pip installs packages. Python packages. An easy_install replacement
|
46,683,031
|
|
| 7th |
distribute
Easily download, build, install, upgrade, and uninstall Python packages
|
43,653,961
|
|
| 8th |
python-dateutil
Extensions to the standard python 3.0+ datetime module
|
40,294,908
|
|
| 9th |
certifi
Mozilla's SSL Certs.
|
40,255,065
|
|
| 10th |
boto
Amazon Web Services Library
|
39,863,297
|
|
| 11th |
pbr
Python Build Reasonableness
|
36,266,846
|
|
| 12th |
wincertstore
Python module to extract CA and CRL certs from Windows' cert store (ctypes based).
|
34,279,054
|
|
| 13th |
docutils
Docutils -- Python Documentation Utilities
|
32,384,615
|
|
| 14th |
pyasn1
ASN.1 library for Python
|
32,080,664
|
|
| 15th |
PyYAML
YAML parser and emitter for Python
|
31,187,268
|
|
| 16th |
Jinja2
A small but fast and easy to use stand-alone template engine written in pure python.
|
29,235,056
|
|
| 17th |
MarkupSafe
Implements a XML/HTML/XHTML Markup safe string for Python
|
28,424,794
|
|
| 18th |
pytz
World timezone definitions, modern and historical
|
27,274,457
|
|
| 19th |
nose
nose extends unittest to make testing easier
|
26,967,202
|
|
| 20th |
lxml
Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API.
|
26,859,463
|
|
| 21st |
pycrypto
Cryptographic modules for Python.
|
25,149,446
|
|
| 22nd |
rsa
Pure-Python RSA implementation
|
24,867,479
|
|
| 23rd |
colorama
Cross-platform colored terminal text.
|
23,305,345
|
|
| 24th |
botocore
Low-level, data-driven core of boto 3.
|
22,592,831
|
|
| 25th |
cffi
Foreign Function Interface for Python calling C code.
|
22,297,207
|
|
| 26th |
awscli
Universal Command Line Environment for AWS.
|
20,843,084
|
|
| 27th |
coverage
Code coverage measurement for Python
|
20,628,750
|
|
| 28th |
jmespath
JSON Matching Expressions
|
20,563,872
|
|
| 29th |
pycparser
C parser in Python
|
19,999,901
|
|
| 30th |
pika
Pika Python AMQP Client Library
|
19,967,479
|
|
| 31st |
Django
A high-level Python Web framework that encourages rapid development and clean, pragmatic design.
|
19,012,909
|
|
| 32nd |
psycopg2
Python-PostgreSQL Database Adapter
|
18,494,339
|
|
| 33rd |
paramiko
SSH2 protocol library
|
17,588,385
|
|
| 34th |
ecdsa
ECDSA cryptographic signature library (pure python)
|
16,393,643
|
|
| 35th |
SQLAlchemy
Database Abstraction Library
|
15,423,285
|
|
| 36th |
mock
A Python Mocking and Patching Library for Testing
|
15,312,191
|
|
| 37th |
redis
Python client for Redis key-value store
|
14,767,408
|
|
| 38th |
Werkzeug
The Swiss Army knife of Python web development
|
14,080,114
|
|
| 39th |
selenium
Python bindings for Selenium
|
13,598,489
|
|
| 40th |
bcdoc
ReST document generation tools for botocore.
|
13,189,266
|
|
| 41st |
supervisor
A system for controlling process state under UNIX
|
13,113,608
|
|
| 42nd |
pep8
Python style guide checker
|
12,960,047
|
|
| 43rd |
httplib2
A comprehensive HTTP client library.
|
12,782,616
|
|
| 44th |
Flask
A microframework based on Werkzeug, Jinja2 and good intentions
|
12,589,687
|
|
| 45th |
pymongo
Python driver for MongoDB
|
11,848,837
|
|
| 46th |
zc.buildout
System for managing development buildouts
|
11,843,053
|
|
| 47th |
psutil
A process utilities module for Python
|
11,750,760
|
|
| 48th |
MySQL-python
Python interface to MySQL
|
11,555,841
|
|
| 49th |
argparse
Python command-line parsing library
|
11,366,156
|
|
| 50th |
carbon
Backend data caching and persistence daemon for Graphite
|
11,348,979
|
|


Plan was to vary my pace: Siddharth
by S. Dipak RagavM. Siddharth showed nerves of steel on his debut said, “my aim was to keep things simple and not give any width for the batsmen to free their arms.
“I knew the Mumbai batsmen will come hard at me and the plan was to keep varying my pace.”
The left-arm spinner was unafraid to toss the ball. “I knew Shreyas likes to attack at the start of his innings so I backed myself and thankfully it worked out. Suryakumar’s wicket was special because it was my first wicket for Tamil Nadu.”
He recently starred in the U-23 competition, picking 15 wickets from eight games. He has been prolific in the TNCA first division, picking 52 wickets in 2017-18 and 43 in 2018-19 for Alwarpet CC before moving to Grand Slam this season.


Man this thing took forever to refinish, but sure enough Jenn and I got it done before the baby and before the move. Please check out the lovely before and after photos. Hope this little jewel lives up to the hype Jenn and I have been giving it…and if not well just don’t leave a comment how ’bout that! I’m out!
BEFORE
AFTER


{% extends 'templates/nhs_transaction_layout.html' %} {% import 'includes/form_macros.html' as form_macros %} {% block afterHeader %} {% endblock %} {% block content %} Validation Do have a personal user account? Yes No {% endblock %}


Israeli air raids in Gaza kill Palestinian, wound two
Pre-dawn attacks in the besieged coastal enclave hit several sites affiliated with Hamas, local media reports.
Israeli air raids on the Gaza Strip have killed one person, Palestinian officials have said.
The Gaza Ministry of Health said 27-year-old Ahmed al-Shehri was killed during pre-dawn attacks on Saturday. Two others were wounded in the strikes.
More:
Palestinian media reported that the assault targeted several training sites and outposts affiliated with Hamas, the group that rules the besieged Gaza Strip.
Witnesses at Nasser hospital in the southern city of Khan Younis said the three were sitting in an orchard adjacent to one of the posts that was hit.
The strikes came after the Israeli military said that Palestinians fired 10 rockets from Gaza into Israel late on Friday, eight of which were intercepted. It said that the series of strikes were carried out in response to the rocket fire.
There were no reports of casualties. Israeli police said shrapnel damaged a house in the southern town of Sderot and video footage showed a car near the structure with windows blown out by debris.
It was the second consecutive day that the Israeli army reported rocket fire from the coastal enclave.
None of the armed groups in Gaza claimed responsibility for firing the rockets. The Israeli military said Hamas was responsible for the incidents.
Israel and Hamas have fought three wars since 2007, when the latter seized control of Gaza.
Since then, Israel and Egypt have imposed a crippling blockade on the enclave. Unemployment in the area stands at 52 percent, according to the World Bank, and poverty is widespread.
Israel says the blockade is necessary to stop weapons reaching Hamas.
Hamas says that it is committed to an unofficial ceasefire deal with Israel, but some armed factions in Gaza act independently of the group.
Earlier on Friday, health officials said that scores of Palestinians were wounded by live fire during protests against the blockade along the Gaza separation fence.
The weekly demonstrations began last year.
International mediators, including Egypt and Qatar, oversee the ceasefire deal to reduce the intensity of the protests in return for Israeli concessions and a monthly Qatari cash delivery to Gaza.


import { Easing, EasingModifier } from "./types"
// Accepts an easing function and returns a new one that outputs reversed values.
// Turns easeIn into easeOut.
export const reverseEasing: EasingModifier = easing => p => 1 - easing(1 - p)
// Accepts an easing function and returns a new one that outputs mirrored values for
// the second half of the animation. Turns easeIn into easeInOut.
export const mirrorEasing: EasingModifier = easing => p =>
p <= 0.5 ? easing(2 * p) / 2 : (2 - easing(2 * (1 - p))) / 2
// Creates an easing function that is based on the exponent of the provided `power`.
// The higher the `power`, the stronger the easing.
export const createExpoIn = (power: number): Easing => p => p ** power
// Creates an easing function that has a stronger overshoot the higher the provided `power`.
export const createBackIn = (power: number): Easing => p =>
p * p * ((power + 1) * p - power)
// Creates an easing function that pulls back a little before moving, and then
// has a `createBackIn`-based overshoot
export const createAnticipate = (power: number): Easing => {
const backEasing = createBackIn(power)
return p =>
(p *= 2) < 1
? 0.5 * backEasing(p)
: 0.5 * (2 - Math.pow(2, -10 * (p - 1)))
}
|


The VariableIndex class computes and stores the block column structure of a factor graph.
The factor graph stores a collection of factors, each of which involves a set of variables. In contrast, the VariableIndex is built from a factor graph prior to elimination, and stores the list of factors that involve each variable. This information is stored as a deque of lists of factor indices.
|
|
class | boost::serialization::access |
| | Serialization function.
|
| |
| template<class FG > |
| void | augment (const FG &factors, boost::optional< const FactorIndices & > newFactorIndices=boost::none) |
| | Augment the variable index with new factors. More...
|
| |
| void | augmentExistingFactor (const FactorIndex factorIndex, const KeySet &newKeys) |
| | Augment the variable index after an existing factor now affects to more variable Keys. More...
|
| |
| template<typename ITERATOR , class FG > |
| void | remove (ITERATOR firstFactor, ITERATOR lastFactor, const FG &factors) |
| | Remove entries corresponding to the specified factors. More...
|
| |
|
template<typename ITERATOR > |
| void | removeUnusedVariables (ITERATOR firstKey, ITERATOR lastKey) |
| | Remove unused empty variables (in debug mode verifies they are empty).
|
| |
|
const_iterator | begin () const |
| | Iterator to the first variable entry.
|
| |
|
const_iterator | end () const |
| | Iterator to the first variable entry.
|
| |
|
const_iterator | find (Key key) const |
| | Find the iterator for the requested variable entry.
|
| |
|
Factor_iterator | factorsBegin (Key variable) |
| |
|
Factor_iterator | factorsEnd (Key variable) |
| |
|
Factor_const_iterator | factorsBegin (Key variable) const |
| |
|
Factor_const_iterator | factorsEnd (Key variable) const |
| |
|
const FactorIndices & | internalAt (Key variable) const |
| | Internal version of 'at' that asserts existence.
|
| |
|
FactorIndices & | internalAt (Key variable) |
| | Internal version of 'at' that asserts existence.
|
| |
template<typename ITERATOR , class FG >
| void gtsam::VariableIndex::remove |
( |
ITERATOR |
firstFactor, |
|
|
ITERATOR |
lastFactor, |
|
|
const FG & |
factors |
|
) |
| |
Remove entries corresponding to the specified factors.
NOTE: We intentionally do not decrement nFactors_ because the factor indices need to remain consistent. Removing factors from a factor graph does not shift the indices of other factors. Also, we keep nFactors_ one greater than the highest-numbered factor referenced in a VariableIndex.
- Parameters
-
| indices | The indices of the factors to remove, which must match factors |
| factors | The factors being removed, which must symbolically correspond exactly to the factors with the specified indices that were added. |


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{% extends "base.html" %} {% block content %}
{{ message }}
First of all you will need to get an API key from Google Console Devellopers.
More specifically from the youtube Data API v3. Its totally free. You will just need to activate it and come back with a little key.
You can get it here : https://console.developers.google.com/apis
Also you can haev a look on our user guide : How to get an API key from Youtube ?
Name : {{ session_data['name'] }}
Email : {{ session_data['email'] }}
Username : {{ session_data['username'] }}
Institution : {{ session_data['institution'] }}
Registred on Cortext since : {{ session_data['last_connexion'] }}


You can compare multiple records and find the differences between their values with a few mouse clicks. Just select two or more records (the selection management button will appear), then choose "Compare" from the button's drop down menu. Lazy users can simply click one of ready-to-use links below:
By default, values are compared with the == operator. You can also define your own function that compares the values with the algorithm you provided. For example, you can implement a case-insensitive comparison or consider two values equal if their difference is less than a predefined value. Click the button to see how such a function has been implemented for the page below.


Metrics, Graphite, Log Files, Some Linux, Some Python
You want to make pretty graphs that let you measure things to do with third party applications.
You want to measure the response codes nginx is firing out
Fork the nginx repo and fire up gcc
Logster - https://github.com/etsy/logster
Reads log files and turns them into metrics
Written in Python with metric parsers also written in Python
Intended to be invoked by cron or similar
<IP_ADDRESS> - - [28/Aug/2015:08:02:22 +0000] "GET /healthcheck HTTP/1.1" 200 6 "-" "ELB-HealthChecker/1.0" 0.000 - .
class DemoLogster(LogsterParser):
def __init__(self, option_string=None):
self.http_404 = 0
self.reg = re.compile('.*HTTP/1.\d\" (?P<http_status_code>\d{3}) .*')
def parse_line(self, line):
try:
regMatch = self.reg.match(line)
if regMatch:
linebits = regMatch.groupdict()
status = int(linebits['http_status_code'])
if status == "404":
self.404 = self.404 + 1
else:
raise LogsterParsingException("regmatch failed to match")
except Exception as e:
raise LogsterParsingException("regmatch or contents failed with %s" % e)
def get_state(self, duration):
self.duration = float(duration)
return [
MetricObject("http_404",
(self.http_404 / self.duration),
"Responses per sec")]
Install Logster + Custom Scrapers
Setup a cron task to run once a minute and fire up Logster
Yes! We're using it for our brand new in production Lomo image resizing service
This can work with any log file you know the format of!
I'm Chris McCluskey from Travel Content Platform Squad


honzi.cz/Writings/Head Move
Use of Head Movements to gather Information for Sound-based Spacial Awareness
By carefully and repeatedly rotating one's head ±45° along the x, y, and z axes and then returning one's head ∓45° along the x, y, and z axes, one can gather information about the direction and distance of audible sources of sound. This information can be used to improve one's spatial awareness by quickly generating an estimated 3D model of one's environment containing the origins of each sound heard. Be sure to do this at your own pace, as you may risk neck injury!


Uniaro University was established by J.H Merthon in 1920 for the public benefit. Afterwards, it is recognized globally. Throughout our great history, Merthon has offered access to a wide range of academic opportunities. The University has pioneered change in wide range of academic the sector . We’re suggesting you devote a few hours every week to advancing your career.
Uniaro University was established by J.H Merthon in 1920 for the public benefit. Afterwards, it is recognized globally. Throughout our great history, Merthon has offered access to a wide range of academic opportunities.
We are one of the largest, most diverse with over 80,000 students in India, further 30,000 studying across 75 countries for modern classes at Uniaro University.
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece classical.
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece classical.
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece classical.
Don’t hesitate, contact us for better help and services. View more Instructor.


---
layout: post
title: My weekly mail gem bag
tags: []
status: publish
type: post
published: true
meta: {}
---
This weeks mail bag contained a few gems
- Jakob Nielsen's review, the pontif of all things usable, of a book on persuasive design. Check it out here: http://www.useit.com/alertbox/20030303.html and remember it's for the kids!!!
- Over at the register a snippet about ten common e-commerce site flaws. I don't think one can ever have enough check lists to check our work against! Slightly related is this list of top 20 vulnerabilities and since we all need web servers there is some info on specific vulnearbilities for IIS and Apache
- Starting a business? Thinking of becoming an entrepreneur?? This interview with Constance Bagley @ the Harvard Business School web site has some useful information
- And now for stuff I came across on Zeldman's site: Check out this link to http://www.hiveware.com/enkoder_form.php. A script that takes your "mailto:" address and turns it into encrypted string and uses Javascript to write it to the page. Pretty marvellous and that should hinder some of those nasty little spam bots gleaning mail addresses from web pages. A nifty and low effort alternative to using forms to mail enquiries to you!
- http://www.easyrgb.com/harmonies.php, if you are like me and struggle with colour schemes for web sites, try this script. Absolutely fantastic!
- a little bit of light entertainment: check out fly guy. Lovely animation and a very soothing experience


ESPN Releases Prediction For Nebraska-Iowa
by Tzvi MachlinTwo storied Big Ten West programs collide in Rivalry Week when Iowa takes on Nebraska at Memorial Stadium in Lincoln. But while one team hopes to secure a New Year’s Six berth, the other just hopes to be playing come bowl season.
The Hawkeyes have somewhat quietly been putting together yet another stellar season with Kirk Ferentz at the helm. After beating then-unbeaten Minnesota last week, Iowa avoided a letdown this week with 19-10 win over a solid Illinois team. Considering that their only losses have been to ranked teams, the Hawkeyes have proven about as tough as they come.
The Huskers are coming off easily their strongest win of the season (which isn’t saying much unfortunately) following a 54-7 thrashing of hapless Maryland on the East Coast. They’re 5-6 on the season, already exceeding their win total of the last two seasons, but need this win to get bowl-eligible.
ESPN’s computer model has released its prediction for the Nebraska-Iowa game.
ESPN’s computer model believes that Iowa is the most likely winner. The computer model gives the Hawkeyes a 70.5 percent chance to win this Saturday’s game.
Iowa is currently on a four-game winning streak against Nebraska, and has three straight wins at Memorial Stadium.
With such talented opposition, Scott Frost will need to put all of his money where his mouth is to get that coveted sixth win.
The game will be played at 2:30 p.m. EST on BTN.


10.a.x There are long delays in achieving productivity, and the average productivity does not reflect the productivity increase in specific businesses.
10.b.y Productivity increases have been observed decades after the introduction of a technology, and the volatility in technology sector suggests that average productivity does not reflect individual productivity gains.
10.c.y Network effects can increase costs initially and consequently increase delays in adoption.


Seven Labs
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Hi this is tic tac toe. Play at your own risk.
Game Board
__
__
__
__
__
__
__
__
__
Blue player board: click on a space to claim it
__
__
__
__
__
__
__
__
__
Red player board: click on a space to claim it
__
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26 July 2006
The Ministry of Public Health in Thailand has confirmed a case of human infection with H5N1 avian influenza. The patient, a 17-year-old man from Thap Khlo district of Phichit province in the north, developed symptoms on 15 July, was hospitalized on 20 July and died on 24 July.
On 10 July, the young man had buried the carcasses of dead chickens. This case coincides with a recurrence of a confirmed H5N1 outbreak in animals in the province. Control measures have been implemented to contain the animal outbreak and human surveillance has been strengthened. Field investigations have not found any indications of respiratory illness in close contacts of the young man.
This is the first human case of H5N1 infection reported from Thailand in 2006.


{% extends "main.html" %} {% block content %} {% include "header.html" %}
You don't have the required privileges to perform that action.


Everton fans are furious after Marco Silva’s post-game comments
Everton fans were not happy about Marco Silva blaming a lack of pace for the 2-0 defeat to Norwich.
by Mathew NashIt is fair to say that Everton fans were not happy with manager Marco Silva after watching their side lose to Norwich City earlier today.
The Toffees were poor throughout, losing 2-0 after goals from Todd Cantwell and Dennis Srebeny. It was the manner of the defeat that most frustrated Everton fans and the mood in Goodison Park after the game told the story.
Everton lacked creativity, pace, mobility and that was not a surprise considering the starting XI. Cenk Tosun and Gylfi Sigurdsson are hardly going to be beating any opponents in a foot race.
Indeed, Richarlison also looked leggy after his international antics whilst Morgan Schneiderlin has never exuded dynamo qualities in midfield.
But remarkably, after the game, Marco Silva made a comment which incensed Everton fans on Twitter even more.
The Portuguese commented on the lack of speed in the side, as shared by Phil Kirkbride of the Liverpool Echo.
Considering the fact he had the likes of Dominic Calver-Lewin, Alex Iwobi and Moise Kean all on the bench, this comment incensed the Everton fanbase, Even the club’s star youngster Anthony Gordon would have added some spark in attack, but he was not included in the matchday squad.
As angry as Everton fans were during the game, these comments from Silva appear to have incensed them even more.
It is looking like a matter of time before Everton are on the hunt for a new manager…
Have something to tell us about this article?
Let us know


Listen: The Weeknd Returns W/ Retro Sounds On New BLINDING LIGHTS Song
by Chris GoossensCanadian singer The Weeknd is back on his music grind. The award-winning crooner has come through with the new, retro-sounding “Blinding Lights” audio gem. Listen and comment below!


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| 1 | package org.jsoup.examples; | |
| 2 | ||
| 3 | import org.jsoup.Jsoup; | |
| 4 | import org.jsoup.helper.StringUtil; | |
| 5 | import org.jsoup.helper.Validate; | |
| 6 | import org.jsoup.nodes.Document; | |
| 7 | import org.jsoup.nodes.Element; | |
| 8 | import org.jsoup.nodes.Node; | |
| 9 | import org.jsoup.nodes.TextNode; | |
| 10 | import org.jsoup.select.Elements; | |
| 11 | import org.jsoup.select.NodeTraversor; | |
| 12 | import org.jsoup.select.NodeVisitor; | |
| 13 | ||
| 14 | import java.io.IOException; | |
| 15 | ||
| 16 | /** | |
| 17 | * HTML to plain-text. This example program demonstrates the use of jsoup to convert HTML input to lightly-formatted | |
| 18 | * plain-text. That is divergent from the general goal of jsoup's .text() methods, which is to get clean data from a | |
| 19 | * scrape. | |
| 20 | *
 | |
| 21 | * Note that this is a fairly simplistic formatter -- for real world use you'll want to embrace and extend. | |
| 22 | *
 | |
| 23 | *
 | |
| 24 | * To invoke from the command line, assuming you've downloaded the jsoup jar to your current directory:
 | |
| 25 | *
java -cp jsoup.jar org.jsoup.examples.HtmlToPlainText url [selector]
 | |
| 26 | * where url is the URL to fetch, and selector is an optional CSS selector. | |
| 27 | * | |
| 28 | * @author Jonathan Hedley<EMAIL_ADDRESS>| |
| 29 | */ | |
| 30 | public class HtmlToPlainText { | |
| 31 | private static final String userAgent = "Mozilla/5.0 (jsoup)"; | |
| 32 | private static final int timeout = 5 * 1000; | |
| 33 | ||
| 34 | public static void main(String... args) throws IOException { | |
| 35 |
3
1. main : negated conditional → NO_COVERAGE 2. main : negated conditional → NO_COVERAGE 3. main : removed call to org/jsoup/helper/Validate::isTrue → NO_COVERAGE |
Validate.isTrue(args.length == 1 || args.length == 2, "usage: java -cp jsoup.jar org.jsoup.examples.HtmlToPlainText url [selector]"); |
| 36 | final String url = args[0]; | |
| 37 |
1
1. main : negated conditional → NO_COVERAGE |
final String selector = args.length == 2 ? args[1] : null; |
| 38 | ||
| 39 | // fetch the specified URL and parse to a HTML DOM | |
| 40 | Document doc = Jsoup.connect(url).userAgent(userAgent).timeout(timeout).get(); | |
| 41 | ||
| 42 | HtmlToPlainText formatter = new HtmlToPlainText(); | |
| 43 | ||
| 44 |
1
1. main : negated conditional → NO_COVERAGE |
if (selector != null) { |
| 45 | Elements elements = doc.select(selector); // get each element that matches the CSS selector | |
| 46 | for (Element element : elements) { | |
| 47 | String plainText = formatter.getPlainText(element); // format that element to plain text | |
| 48 |
1
1. main : removed call to java/io/PrintStream::println → NO_COVERAGE |
System.out.println(plainText); |
| 49 | } | |
| 50 | } else { // format the whole doc | |
| 51 | String plainText = formatter.getPlainText(doc); | |
| 52 |
1
1. main : removed call to java/io/PrintStream::println → NO_COVERAGE |
System.out.println(plainText); |
| 53 | } | |
| 54 | } | |
| 55 | ||
| 56 | /** | |
| 57 | * Format an Element to plain-text | |
| 58 | * @param element the root element to format | |
| 59 | * @return formatted text | |
| 60 | */ | |
| 61 | public String getPlainText(Element element) { | |
| 62 | FormattingVisitor formatter = new FormattingVisitor(); | |
| 63 |
1
1. getPlainText : removed call to org/jsoup/select/NodeTraversor::traverse → NO_COVERAGE |
NodeTraversor.traverse(formatter, element); // walk the DOM, and call .head() and .tail() for each node |
| 64 | ||
| 65 |
1
1. getPlainText : mutated return of Object value for org/jsoup/examples/HtmlToPlainText::getPlainText to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return formatter.toString(); |
| 66 | } | |
| 67 | ||
| 68 | // the formatting rules, implemented in a breadth-first DOM traverse | |
| 69 | private class FormattingVisitor implements NodeVisitor { | |
| 70 | private static final int maxWidth = 80; | |
| 71 | private int width = 0; | |
| 72 | private StringBuilder accum = new StringBuilder(); // holds the accumulated text | |
| 73 | ||
| 74 | // hit when the node is first seen | |
| 75 | public void head(Node node, int depth) { | |
| 76 | String name = node.nodeName(); | |
| 77 |
1
1. head : negated conditional → NO_COVERAGE |
if (node instanceof TextNode) |
| 78 |
1
1. head : removed call to org/jsoup/examples/HtmlToPlainText$FormattingVisitor::append → NO_COVERAGE |
append(((TextNode) node).text()); // TextNodes carry all user-readable text in the DOM. |
| 79 |
1
1. head : negated conditional → NO_COVERAGE |
else if (name.equals("li")) |
| 80 |
1
1. head : removed call to org/jsoup/examples/HtmlToPlainText$FormattingVisitor::append → NO_COVERAGE |
append("\n * "); |
| 81 |
1
1. head : negated conditional → NO_COVERAGE |
else if (name.equals("dt")) |
| 82 |
1
1. head : removed call to org/jsoup/examples/HtmlToPlainText$FormattingVisitor::append → NO_COVERAGE |
append(" "); |
| 83 |
1
1. head : negated conditional → NO_COVERAGE |
else if (StringUtil.in(name, "p", "h1", "h2", "h3", "h4", "h5", "tr")) |
| 84 |
1
1. head : removed call to org/jsoup/examples/HtmlToPlainText$FormattingVisitor::append → NO_COVERAGE |
append("\n"); |
| 85 | } | |
| 86 | ||
| 87 | // hit when all of the node's children (if any) have been visited | |
| 88 | public void tail(Node node, int depth) { | |
| 89 | String name = node.nodeName(); | |
| 90 |
1
1. tail : negated conditional → NO_COVERAGE |
if (StringUtil.in(name, "br", "dd", "dt", "p", "h1", "h2", "h3", "h4", "h5")) |
| 91 |
1
1. tail : removed call to org/jsoup/examples/HtmlToPlainText$FormattingVisitor::append → NO_COVERAGE |
append("\n"); |
| 92 |
1
1. tail : negated conditional → NO_COVERAGE |
else if (name.equals("a")) |
| 93 |
1
1. tail : removed call to org/jsoup/examples/HtmlToPlainText$FormattingVisitor::append → NO_COVERAGE |
append(String.format(" <%s>", node.absUrl("href"))); |
| 94 | } | |
| 95 | ||
| 96 | // appends text to the string builder with a simple word wrap method | |
| 97 | private void append(String text) { | |
| 98 |
1
1. append : negated conditional → NO_COVERAGE |
if (text.startsWith("\n")) |
| 99 | width = 0; // reset counter if starts with a newline. only from formats above, not in natural text | |
| 100 |
1
1. append : negated conditional → NO_COVERAGE |
if (text.equals(" ") && |
| 101 |
3
1. append : Replaced integer subtraction with addition → NO_COVERAGE 2. append : negated conditional → NO_COVERAGE 3. append : negated conditional → NO_COVERAGE |
(accum.length() == 0 || StringUtil.in(accum.substring(accum.length() - 1), " ", "\n"))) |
| 102 | return; // don't accumulate long runs of empty spaces | |
| 103 | ||
| 104 |
3
1. append : changed conditional boundary → NO_COVERAGE 2. append : Replaced integer addition with subtraction → NO_COVERAGE 3. append : negated conditional → NO_COVERAGE |
if (text.length() + width > maxWidth) { // won't fit, needs to wrap |
| 105 | String words[] = text.split("\\s+"); | |
| 106 |
3
1. append : changed conditional boundary → NO_COVERAGE 2. append : Changed increment from 1 to -1 → NO_COVERAGE 3. append : negated conditional → NO_COVERAGE |
for (int i = 0; i < words.length; i++) { |
| 107 | String word = words[i]; | |
| 108 |
2
1. append : Replaced integer subtraction with addition → NO_COVERAGE 2. append : negated conditional → NO_COVERAGE |
boolean last = i == words.length - 1; |
| 109 |
1
1. append : negated conditional → NO_COVERAGE |
if (!last) // insert a space if not the last word |
| 110 | word = word + " "; | |
| 111 |
3
1. append : changed conditional boundary → NO_COVERAGE 2. append : Replaced integer addition with subtraction → NO_COVERAGE 3. append : negated conditional → NO_COVERAGE |
if (word.length() + width > maxWidth) { // wrap and reset counter |
| 112 | accum.append("\n").append(word); | |
| 113 | width = word.length(); | |
| 114 | } else { | |
| 115 | accum.append(word); | |
| 116 |
1
1. append : Replaced integer addition with subtraction → NO_COVERAGE |
width += word.length(); |
| 117 | } | |
| 118 | } | |
| 119 | } else { // fits as is, without need to wrap text | |
| 120 | accum.append(text); | |
| 121 |
1
1. append : Replaced integer addition with subtraction → NO_COVERAGE |
width += text.length(); |
| 122 | } | |
| 123 | } | |
| 124 | ||
| 125 | @Override | |
| 126 | public String toString() { | |
| 127 |
1
1. toString : mutated return of Object value for org/jsoup/examples/HtmlToPlainText$FormattingVisitor::toString to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return accum.toString(); |
| 128 | } | |
| 129 | } | |
| 130 | } | |
Mutations | ||
| 35 |
1.1 2.2 3.3 |
|
| 37 |
1.1 |
|
| 44 |
1.1 |
|
| 48 |
1.1 |
|
| 52 |
1.1 |
|
| 63 |
1.1 |
|
| 65 |
1.1 |
|
| 77 |
1.1 |
|
| 78 |
1.1 |
|
| 79 |
1.1 |
|
| 80 |
1.1 |
|
| 81 |
1.1 |
|
| 82 |
1.1 |
|
| 83 |
1.1 |
|
| 84 |
1.1 |
|
| 90 |
1.1 |
|
| 91 |
1.1 |
|
| 92 |
1.1 |
|
| 93 |
1.1 |
|
| 98 |
1.1 |
|
| 100 |
1.1 |
|
| 101 |
1.1 2.2 3.3 |
|
| 104 |
1.1 2.2 3.3 |
|
| 106 |
1.1 2.2 3.3 |
|
| 108 |
1.1 2.2 |
|
| 109 |
1.1 |
|
| 111 |
1.1 2.2 3.3 |
|
| 116 |
1.1 |
|
| 121 |
1.1 |
|
| 127 |
1.1 |


--- layout: post authors: ["Greg Wilson"] title: "Data Science Workflows" date: 2013-07-18 time: "11:00" tags: ["Education"] ---
Half a dozen of us got together yesterday morning to chat about The Bad Data Handbook, what the curriculum for a Software Carpentry-style bootcamp for data scientists ought to be, and a bunch of other things. The Etherpad is unfortunately down right now, so you can't read David Flanders' excellent notes, but as an outcome, I'd like to ask you all to do a bit of homework.
First, though, some context. One of the best ways to design instructional material is called "backward design". It's described in Wiggins & McTighe's Understanding by Design, but since that book takes four pages to say what most people would understand in two sentences, here's the gist:
This summary makes it sound like "teaching to the test", but it's not. Instead, the point of writing the exam first is to be as concrete as possible, as early as possible, about what you're actually going to change in your learners' heads. It's all too easy to say, "Students will understand basic image processing", but three different people will interpret that four different ways. Operationalizing it in the form of an exam gives everyone a straw man to argue over.
Two dozen of us went through this exercise last week at a workshop on what to teach biologists about computing. The first step was to put together a "driver's license" exam—something that would tell you fairly quickly whether the author of the paper you were about to review was computationally competent. I posted the groups' responses a couple of days ago. As a follow-on, we did before-and-after user stories: what do people do now, and what will they do that's (hopefully) better after our training; those responses are also online.
In order to focus discussion, and help us figure out what's common to everyone's data crunching needs, and what's specific to various disciplines, I'd like to ask you all to write and post a point-form description of an actual data crunching task that you, or someone you work with, has recently done:
When you're done, please post your result on the web and add a link as a comment on this blog post. I'll collate them, code things up, and then sort by frequency to give us an idea of how often people do various things. I expect we'll have a long tail distribution in which everyone does a handful of common tasks; those then become the core of our curriculum.
If you have the hour this will take, I'd be grateful if you could get stuff to the list or online by the end of next week (Friday July 26) so that I can have results back the Tuesday after.


Squirrel
Squirrel - Soviet dog-cosmonaut, made a space flight on the ship "Sputnik-5" August 19, 1960. Outbred female of white color - was the leader in the team, the most active and sociable.


{# make sure to get the navbar, etc #} {% extends "base.html" %} {# if this is an endpoint of the modelviewer blueprint, use this instead: {% extends "modelbase.html" %} #} {% block pagecontent %}
My custom content goes here


除了表示数值类型（CONSTANT_Integer_info
、CONSTANT_Float_info
、CONSTANT_Long_info
、CONSTANT_Double_info
）的结构，其他的结构都是在CONSTANT_Utf8_info
的基础上构建起来的。
A primitive type is predefined by the Java programming language and named by its reserved keyword:
byte
, short
, int
, and long
, whose values are 8-bit, 16-bit,
32-bit and 64-bit signed two's-complement integers, respectively, and char
,
whose values are 16-bit unsigned integers representing UTF-16 code units.
float
, whose values include the 32-bit IEEE 754
floating-point numbers, and double
, whose values include the 64-bit IEEE 754
floating-point numbers.
true
and false
.
| Java programming language | Java class file format |
|---|---|
| int | CONSTANT_Integer_info |
| float | CONSTANT_Float_info |
| long | CONSTANT_Long_info |
| double | CONSTANT_Double_info |
public class HelloWorld { public int intValue = 32768; // CONSTANT_Integer_info public long longValue = 65538L; // CONSTANT_Long_info public float floatValue = 3.14F; // CONSTANT_Float_info public double doubleValue = 6.28D; // CONSTANT_Double_info }
在上面的表格中，我们并没有看到Java programming language中的byte
、short
、char
和boolean
这些类型在Java class file format当中得到体现。换句话说，在Java class file format当中，并没有出现CONSTANT_Byte_info
、CONSTANT_Short_info
、CONSTANT_Char_info
或CONSTANT_Boolean_info
这样的结构。这个问题，要从opcode角度才能回答。
另外，boolean
、byte
、short
、char
和int
类型的字段在带有final
关键字，也会生成CONSTANT_Integer_info
类型的常量。
public class HelloWorld { public final boolean flag = false; public final int intValue = 1; public final byte b = 2; public final short s = 3; public final char ch = 4; }
| Java programming language | Java class file format |
|---|---|
| String | CONSTANT_String_info CONSTANT_Utf8_info |
String str = "AAABBB";
CONSTANT_String_info { u1 tag(8); u2 string_index; } CONSTANT_Utf8_info { u1 tag(1); u2 length; u1 bytes[length]; } |002| 08 00 12 // string_index = 18 |018| 01 00 06 41 41 41 42 42 42 // AAABBB
| Java programming language | Java class file format |
|---|---|
| Class Interface |
CONSTANT_Class_info CONSTANT_Utf8_info |
CONSTANT_Class_info { u1 tag(7); u2 name_index; } CONSTANT_Utf8_info { u1 tag(1); u2 length; u1 bytes[length]; } |004| 07 00 14 // name_index = 20 |020| 01 00 10 6A 61 76 61 2F 6C 61 6E 67 2F 4F 62 6A 65 63 74 // java/lang/Object
首先，是概念的“映射”，在Java programming language中的概念称之为Fully Qualified Class Name，在Java class file format当中称之为Internal name。
其次，是内容的“映射”，在.java
文件中使用java.lang.String
，而在.class
文件当中使用java/lang/String
进行表示。
其中的区别就是将.
替换为/
。
In many situations a type is constrained to be a class or interface type. For
instance, the super class of a class, the interfaces implemented by a class, or
the exceptions thrown by a method cannot be primitive types or array types,
and are necessarily class or interface types. These types are represented in
compiled classes with internal names. The internal name of a class is just the
fully qualified class name of this class, where dots are replaced with slashes. For
example the internal name of java.lang.String
is java/lang/String
.
CONSTANT_Fieldref_info { u1 tag; u2 class_index; u2 name_and_type_index; } CONSTANT_Methodref_info { u1 tag; u2 class_index; u2 name_and_type_index; } CONSTANT_InterfaceMethodref_info { u1 tag; u2 class_index; u2 name_and_type_index; } CONSTANT_NameAndType_info { u1 tag; u2 name_index; u2 descriptor_index; }
为了理解这几个table，我们需要先区分开的概念就是，将“Field Definition、Method Definition”和“Field Invocation、Method Invocation”区分开。
在ClassFile当中，Field Definition是由field_info
来承载的，Method Definition是由method_info
来承载的；
而CONSTANT_Fieldref_info
承载的是Field Invocation，CONSTANT_Methodref_info
承载的是Method Invocation。
| Java programming language | Java class file format |
|---|---|
| Field Definition | field_info |
| Method Definition | method_info |
| Field Invocation | CONSTANT_Fieldref_info |
| Method Invocation | CONSTANT_Methodref_info |
在CONSTANT_Fieldref_info
、CONSTANT_Methodref_info
和CONSTANT_InterfaceMethodref_info
三者中都有对于CONSTANT_Class_info
和CONSTANT_NameAndType_info
的引用，其中CONSTANT_Class_info
是指明是哪一个Class或者Interface，而CONSTANT_NameAndType_info
则是指明具体的Field或Method。
A descriptor is a string representing the type of a field or method. Descriptors are represented in the class file format using modified UTF-8 strings.
| Type descriptor | Java Type | Interpretation |
|---|---|---|
B |
byte | signed byte |
C |
char | Unicode character code point in the Basic Multilingual Plane, encoded with UTF-16 |
D |
double | double-precision floating-point value |
F |
float | single-precision floating-point value |
I |
int | integer |
J |
long | long integer |
S |
short | signed short |
V |
void | void |
Z |
boolean | true or false |
L<InternalName>; |
reference | an instance of class ClassName |
[ |
reference | one array dimension |
The descriptor of a class type is the internal name of this class,
preceded by L
and followed by a semicolon.
To elaborate on why there is no terminating ]
- this code is to allow the JNI/JVM to quickly identify a method and its signature. It's intended to be as compact as possible to make parsing fast (=as few characters as possible), so [
is used for an array which is pretty straightforward (what better symbol to use?).
A field descriptor is a string that indicates the field's type.
field_info { u2 access_flags; u2 name_index; u2 descriptor_index; u2 attributes_count; attribute_info attributes[attributes_count]; }
A method descriptor is a string that indicates the method's return type and the number, order, and types of its parameters.
method_info { u2 access_flags; u2 name_index; u2 descriptor_index; u2 attributes_count; attribute_info attributes[attributes_count]; }
public class HelloWorld { public static void main(String[] args) { // } }
([Ljava/lang/String;)V
"descriptor" probably refers to the method descriptor as defined in the JVM spec. It describes the parameter types and the return type of a method. It does not contain the method name.
"signature" probably refers to the signature of as defined in the Java Language Specification. It contains the name of the method as well as the parameter types. It does not contain the return type.
Note that those two terms are defined in two different places and at different levels. A method descriptor exists at the JVM-level, so it's pretty detached from the Java language. The signature, however is a very similar concept, but acts on the Java language level (as it's defined in the JLS).
import java.util.function.Supplier; public class HelloWorld { public static String lambdiseMe() { return "Hello World!"; } public static Supplier<String> getSupplier() { return HelloWorld::lambdiseMe; } }
暂时，先不讲这部分内容。因为这部分内容，需要结合invokedynamic
指令才能讲清楚。
总结：
.class
内定义的Constant与.java
文件内的哪一部分相对应。


This exercise defines 2 directives that redirects to the same template URL file. One of the directives was created as an Element only directive using restrict: 'E' option, and the other one
was created as an attribute directive using the restrict:'A' option.
NOTE: Notice that the directives are being used 2 times each. One of the usages is correct, the other one is not correct.
When the directive is incorrectly used it will not print. We need to use them correctly pero their definition (restrict:'E' directives will only work if used as an HTML element, restrict:'A' directives will only work if used as an attribute of an already defined HTML element.})
NOTE: Notice that the directives are using the scope of the controller. There is an option to define a directive to have its own scope created. We will review this in the next exercise.


When creating a research project, it is quite important to take into consideration many different factors that not only may influence the outcomes of the study itself, but as well how and in what way it may bring a change into the discipline.  To be able to do so you may profit quite considerably from an information of a good quality. Obtaining such a knowledge will be helpful in broadening your academic horizon providing useful information on the maximization of your research outcomes.
According to LSE Public Policy Group (2011), research impact is defined as an auditable/ recorded opportunity to influence other actor or organization by an academic study. It is usually weighted by an active consultation, citation, referencing, use of a research partially or discussion. Nowadays, despite of many impact measurement possibilities, it is usually tracked by a digital footprint which is, i.e. supervising how often people cite various parts of done research in their own work.
Two most prominent ways of a research impact are:
- Academic impact – the main influence is focused upon another researcher, university organization or academic author. It is mostly measured by citation indicators and allows to trace expertise or flows of an researcher himself or one’s whole portfolio of done work.
- External impact – when an audience (actor or an organization) of a non-academic origin is reached, i.e. government agency, civil society, or business corporation. Those kinds of impacts can take form mostly of a citation, discussion, or references (i.e. in specialist media outlets, involvement of academics in government’s decision-making process, speeches/statements of authoritative actors).
Universities themselves focus mostly on ‘journal impact factors’ (JIFs). This method refers to the process of counting how many academics cite a specific journal’s output, or, in a worst case scenario, on creating lists (usually subjective ones) of journals that are considered to be ‘bad’ or ‘good’. Thus, it is assumed that the work published in a journal is as good as the journal itself. Usually, it is not taken into consideration that published works are very varied and some turn out to be more influential than other ones. This usually takes place in social sciences where JIFs scores do not exceed the score 2.0 (this means that each article from a journal is cited by two other articles averagely within two years after they are published).
Tools tracking citation rates
The number of available tools for tracking citation rates is considerably growing. It may be even said that there are some ways to measure one’s research impact quite reliably and efficiently now by:
- A combination of three tools – Harzing’s Publish or Perish, Google Scholar, and the ISI Web of Knowledge. Those systems cover most of academic outputs and may provide a reliable data and analysis on citation rates (it is found to be the most reliable combination for humanities and social sciences and is the most recommended one).
- Creation of a distinctive author name – it may be really helpful in being distinguished from a huge number of information and authors accumulated on a global scale.
- The usage of a conventional citation-tracking systems – i.e. ISI WOK or Scopus (they may be found useful, BUT have considerable limitations for humanities and social sciences).
Now, one question still remains. How do we improve our citation rates? The answer is rather simple. However, we should follow and keep in mind few, simple steps:
- Make sure that title names of your study are informative and memorable, and abstracts include all of the ‘take-away’ and ‘bottom’ points.
- Titles included in book publications should remain distinctive yet still possible to be easily reached in a general search that concerns the subject.
- Self-citations should remain in line with other academics’ work from the same discipline.
- It is worth to cooperate and co-author. Why? Because it creates more networking perspectives, especially if the research team derives from different universities or countries. Thus, the outcomes may be distributed more widely.
So, creating and tracking a research impact may demand a lot of effort, reconsideration, and time. Is it worth it? Of course! By doing so one may not only create better projects and academic outputs, but as well learn how to reach different kinds of audience and make a difference on a societal level. This, in turn, may trigger more dynamic development of disciplines and influence societal progress. Thus, by creating an impact, we can make a considerable change.
References
LSE Public Policy Group (2011). Maximizing the impacts of your research: A handbook for social scientists. Retrieved from http://www2.lse.ac.uk/government/research/resgroups/LSEPublicPolicy/Docs/LSE_Impact_Handbook_April_2011.pdf
______________________________________________________________________________________
Magdalena Eliza Kossowska is an MA graduate from Catholic University of Lublin, Interfaculty Individual Studies in the Humanities College, Psychology Institute in Poland. She has volunteered for various NGOs (including EFPSA, AEGEE, Polish Psychologists Association), and participated in scholarships in Prague, Czech Republic; Tromso, Norway; and London, United Kingdom. Besides contributing in JEPS Bulletin, she also works with Association for Polish Psychology Development ANOVA. She is interested in organisational, clinical, as well as cognitive psychology.


The ESS Field Guide (PDF, 4.5MB) provides information about how emergency support services (ESS) are delivered, and clarifies procedures and guidelines for local authorities and ESS teams.
ESS Directors should keep a copy of the guide, which can be updated with revisions posted to this web page. Copies of the guide should also be kept at all reception centres and by Level One responders. The ESS Office will communicate amendments by email.
Organizations, agencies and businesses can use the Maximizing Stress Resilience Manual (PDF) as a tool to assess whether or not a new emergency support services recruit will cope during a disaster.
Current responders may also find the manual useful, especially the sections:
The manual was developed by the British Columbia Disaster Worker Care Committee, with the support of the Emergency Support Services Office and the ESS Advisory Committee.
Emergency Support Service responders – and their families and friends – are encouraged to read these pages to understand and anticipate the possible emotional consequences associated with responding to disasters. These pages address a number of issues including self-assessment, disaster workers as secondary victims, fatigue, frustration and anger, stress relief and returning home from a disaster.
Lost your password?
Contact your Emergency Support Services Director or the Local Authority for assistance.


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Bootstrap 3.0 Modal for YouTube
Sample of using a TB3 modal
to popup a YouTube video
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Golden Loves Guitar !!


|
lubyk
0.5
|
#include <cvcompat.h>
Public Attributes | |
| float * | currline |
| float * | topline |
| float * | bottomline |
| int | x |
| int | width |
| int | height |
| int | step |
| int | step_arr [3] |
Definition at line 930 of file cvcompat.h.
Definition at line 934 of file cvcompat.h.
Definition at line 932 of file cvcompat.h.
Definition at line 937 of file cvcompat.h.
Definition at line 938 of file cvcompat.h.
Definition at line 939 of file cvcompat.h.
| float* _CvPixelPosition32f::topline |
Definition at line 933 of file cvcompat.h.
Definition at line 936 of file cvcompat.h.
Definition at line 935 of file cvcompat.h.


Ingredients Required
- 2 cups all-puropse flour
- 1/2 teaspoon baking soda
- 3/4 cup unsalted butter, melted
- 1 cup packed brown sugar
- 1/2 cup white sugar
- 1 tablespoon vanilla extract
- 1 Whole Egg
- 1 Egg Yolk
- 2 cups semisweet chocolate chips
Steps
- Preheat the oven to 325 degrees F (165 degrees C). Grease cookie sheets or line with parchment paper.
- Sift together the flour, baking soda and salt; set aside.
- In a medium bowl, cream together the melted butter, brown sugar and white sugar until well blended. Beat in the vanilla, egg, and egg yolk until light and creamy. Mix in the sifted ingredients until just blended. Stir in the chocolate chips by hand using a wooden spoon. Drop cookie dough 1/4 cup at a time onto the prepared cookie sheets. Cookies should be about 3 inches apart.
- Bake for 15 to 17 minutes in the preheated oven, or until the edges are lightly toasted. Cool on baking sheets for a few minutes before transferring to wire racks to cool completely.
Original Recipe
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TravCalc is a Windows program for calculating die rolls for Mongoose Traveller 2nd Edition. It's written in Classic Python 2.5 and includes diceroll 3.1 for its die rolling. Source for diceroll 3.1 can be found at its GitHub repository.
TravCalc features minor logging and error tracking at this time.
This documentation explains how to install and use TravCalc for die roll calculations.
The Traveller game in all forms is owned by Far Future Enterprises. Copyright 1977 - 2021 Far Future Enterprises. Traveller is a registered trademark of Far Future Enterprises.


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LSU at Ole Miss: Game Time, Spread, Channel, Announcers
by Chris RosvoglouLast weekend, the LSU Tigers made a huge statement by defeating the Alabama Crimson Tide on the road. The victory in Tuscaloosa resulted in them earning the No. 1 spot in the College Football Playoff rankings.
Joe Burrow has been dominant this season, completing 78.9 percent of his passes for 3,198 yards and 33 touchdowns. His performance against Alabama may have sealed the deal for him winning the Heisman Trophy.
Even though LSU has a much easier opponent on the schedule for this weekend, there has to be some concern about a potential “trap game.”
Ole Miss has struggled mightily this season, but the offense has the firepower to put up points at home this weekend. The Rebels average 434.5 total yards per game on offense.
As you’d expect, the Tigers are heavy favorites to win this weekend.
Here are the details for the LSU-Ole Miss game:
Game Time: 7:00 p.m. ET
Channel: ESPN
Spread: LSU -21.5
Over/Under: 65.5
Announcers: Sean McDonough, Todd Blackledge, Holly Rowe
At this point, the Tigers are on track to make the SEC Championship. However, they must avoid an upset loss this weekend in a hostile environment.
Per ESPN’s Football Power Index, LSU has a 90.7 percent chance of defeating Ole Miss.
Do you think LSU will remain undefeated after this weekend?


When are you more likely to conceive?
We’re talking about the 'fertile window’ – the days in a woman’s menstrual cycle when pregnancy is possible. The ‘fertile window’ depends on the length of the menstrual cycle, which varies among women.
The ‘fertile window’ is the day an egg is released from the ovary (ovulation) and the five days beforehand. Having sex (intercourse) during this time gives you the best chance of getting pregnant.
Myth busting
- MYTH
A woman can get pregnant any time of the month.
- FACT
A woman can only get pregnant on a few days during her menstrual cycle.
Why?
Because eggs and sperm only live for a short time:
- Sperm live for around five days.
- Eggs can only be fertilised for around 24 hours (one day) after being released from the ovary.
Eggs and sperm need to come together at the right time for fertilisation to happen to create an embryo.
-
Facts about timing
Ovulation is when a mature egg is released from the ovary. The egg then moves down the fallopian tube where it can be fertilised. If sperm are in the fallopian tube when the egg is released, there is a good chance that the egg will be fertilised, creating an embryo, which can grow into a baby.
Pregnancy is technically only possible if you have sex during the five days before ovulation or on the day of ovulation. But the most fertile days are the three days leading up to and including ovulation. Having sex during this time gives you the best chance of getting pregnant.
By 12-24 hours after ovulation, a woman is no longer able to get pregnant during that menstrual cycle because the egg is no longer in the fallopian tube.
There’s almost no chance of getting pregnant if you have sex before or after the fertile window (but if you’re not trying to get pregnant, don’t rely on this – contraception is your best option!).
-
How to know when you’re ovulating
Knowing when you ovulate can help you plan for sex at the right time and improve your chance of getting pregnant. You can keep track of your menstrual cycles on a chart, in a diary, or on a free period-tracker app on your smartphone.
To work out the length of your menstrual cycle, record the first day you start bleeding (first day of your period). This is day 1. The last day of your cycle is the day before your next period begins.
-
What is a ‘menstrual cycle’ and a ‘period’?
Some people think the ‘menstrual cycle’ and a ‘period’ are the same thing.
A period is when you bleed (or menstruate).
A menstrual cycle starts on the day when a period starts (day 1) and ends the day before the next period. A cycle’s length is considered normal if it’s between 21 and 35 days. They can vary between women and from one cycle to the next.
-
Working out your ‘average’ menstrual cycle length
If your menstrual cycles are different lengths (most women’s cycles are) you can work out your average cycle length.
The number of days in a woman’s menstrual cycle can vary month to month. Periods are not always regular. It can be useful to work out an ‘average’ cycle length, based on the length of three menstrual cycles, to estimate when you’re most likely to be ovulating.
If you add the number of days in three cycles and divide the total number by three, it gives you your average cycle length.
Example
Sarah tracked her last three menstrual cycles by counting the time from the first day of one period, to the day before the next period.
Cycle 1 was 28 days; Cycle 2 was 32 days; Cycle 3 was 27 days
28 + 32 + 27 = 87
87 divided by 3 = 29
So the average length of Sarah’s menstrual cycles is 29 days.
-
Working out your most fertile days
When you know your average menstrual cycle length, you can work out when you ovulate.
Ovulation happens about 14 days before your period starts.
- If your average menstrual cycle is 28 days, you ovulate around day 14, and your most fertile days are days 12, 13 and 14.
- If your average menstrual cycle is 35 days ovulation happens around day 21 and your most fertile days are days 19,20 and 21.
- If you have shorter cycles, say 21 days, ovulation happens around day 7 and your most fertile days are days 5, 6 and 7.
Your most fertile days are the three days leading up to and including the day of ovulation.
Some women have very irregular cycles or find it difficult to work out an average cycle length. This can make it hard to work out when ovulation happens. If it’s all too hard, having sex every 2-3 days covers all bases and improves your chance of getting pregnant.
Ovulation Calculator
-
Other ways to work out when you ovulate
This ovulation calculator can help you work out your most fertile time. These are the days you are most likely to get pregnant.
It can also estimate your due date if you do become pregnant during your next fertile days.
Others ways to help you work out when you're ovulating:
-
Notice changes in vaginal mucus
A few days before ovulation, you may notice your vaginal mucus becomes clear, slick and slippery, and feels a bit like egg white.
This is a sign that ovulation is about to happen. It’s the best time to have sex, as sperm travel more easily in this kind of mucus.
-
Use an ovulation predictor kit
You can use a predictor kit from a supermarket or pharmacy, to test your urine for signs of ovulation. If you start testing your urine a few days before the day you next expect to ovulate, a positive result means you are going to ovulate within the next 24 to 36 hours (one to two days).
-
What are the chances?
Having sex as close as possible to the time of ovulation increases the chance of pregnancy.
If a woman has sex six or more days before she ovulates, the chance she will get pregnant is virtually zero.
If she has sex five days before she ovulates, her probability of pregnancy is about 10 percent.
If she has sex on the day of ovulation, or the two days before, the chance of getting pregnant is around 30 percent.
These are average figures and depend on a woman’s age.
-
References
- American Society for Reproductive Medicine, Optimizing natural fertility, https://www.reproductivefacts.org/news-and-publications/patient-fact-sheets-and-booklets/documents/fact-sheets-and-info-booklets/optimizing-natural-fertility/
- Berglund Scherwitzl, et al. (2015). Identification and prediction of the fertile window using Natural Cycles. The European Journal of Contraception and Reproductive Health Care, 20(5), 403-408. doi:10.3109/13625187.2014.988210
- Ecochard, R., et al. (2015). Self-identification of the clinical fertile window and the ovulation period. Fertility and Sterility, 103(5), 1319-1325.e1313. doi: http://dx.doi.org/10.1016/j.fertnstert.2015.01.031
- Pfeifer, S., et al. (2017). Optimizing natural fertility: a committee opinion. Fertility and Sterility, 107(1), 52-58. doi: 10.1016/j.fertnstert.2016.09.029
- Stanford, J. B. (2015). Revisiting the fertile window. Fertility and Sterility, 103(5), 1152-1153. doi: http://dx.doi.org/10.1016/j.fertnstert.2015.02.015
- Stanford, et al. (2002). Timing intercourse to achieve pregnancy: current evidence. Obstetrics and Gynecology, 100(6), 1333-1341.
- Stephenson, J., et al. (2018). Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health. The Lancet, 10.1016/S0140-6736(18)30311-8 doi: 10.1016/S0140-6736(18)30311-8
- Vélez, M. Pet al. (2015). Female exposure to phenols and phthalates and time to pregnancy: the Maternal-Infant Research on Environmental Chemicals (MIREC) Study. Fertility and Sterility. doi: 10.1016/j.fertnstert.2015.01.005
- Verón, G. L., et al. (2018). Impact of age, clinical conditions, and lifestyle on routine semen parameters and sperm kinematics. Fertility and Sterility, 110(1), 68-75.e64. https://doi.org/10.1016/j.fertnstert.2018.03.016
- Waylen, A. Let al. (2009). Effects of cigarette smoking upon clinical outcomes of assisted reproduction: a meta-analysis. Hum Reprod Update, 15(1), 31-44.
- Zenzes, M. T. (2000). Smoking and reproduction: gene damage to human gametes and embryos. Hum Reprod Update, 6(2), 122-131.
Page created on: 28/08/2018 | Last updated: 06/06/2019


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For my team's Senior Capstone project, we worked with the Georgia World Congress Center, the third largest convention center in the US,
to transform their business model to a data-driven assessment
of profitability on a per event basis. We implemented three models
to achieve this goal: a rooms-to-event assignment optimization model,
a cost prediction model using Gradient Boosting, and a profit margin classification tool.
We integrated the three models in a fully interactive web app that is currently implemented. Overall,
our project is projected to increase annual profits by $1.1 million (18%). The technical details
of our models are contained in the Appendix of our
final report.
We were also awarded
the Best ISyE project at the Fall 2019 Capstone Design Expo
and Best Senior Design project for the course.
I have created Jupyter Notebooks as course material to help students implement and diagnose regression
models in Python using StatsModels and Sci-Kit Learn. I also include additional derivation
as supplementary material to provide students intuition behind many fundamental concepts,
and I review visualization libraries and techniques in Seaborn. I also plan to go through
additional concepts related to Machine Learning to supplement course knowledge.
Feel free to check out the collapsible tree diagram below
that contains the direct links to the Jupyter Notebooks!
For a Viasat hackathon, our team created a web app to track employee nutrition intake throughout a work day. By tracking food purchases, we created interactive visualizations to track key macros throughout the day. I used Flask and SQLite for the back-end and HTML/Bootstrap/D3 for the front-end and interactive visualizations.
GitHub RepoOur team analyzed loans from LendingClub to assess characteristics of bad loans and to develop an algorithm for predicting bad loans. We performed extensive EDA, handled imbalanced data, implemented various classifiers, including LightGBM, and assessed fairness and bias concerns in the dataset as well.
GitHub Repo


Murder Choice
What is Murder Mystery?
3 Players
4 Players
5 Players
6 Players
7 Players
8 Players
9 Players
10 Players
11 Players


The Alzheimer’s Prevention project aims to raise the awareness on Alzheimer’s disease to people who are in their midlife, age between 40 to 60 years old. Studies show that chance of Alzheimer’s development is highest at 65 and death. Therefore, with considering decline on body fitness level after 40, staying physically and mentally active would be beneficial not only in preventing Alzheimer’s Disease but also increasing the fitness level.
Our website provides important information regarding to disease risk factors and providing comprehensive source of information that users can use and reach out to learn more.
All information, suggestions and calculation of this website are based on academic research. The references and related documents are provided under each web page.


API explorer
by Eoin
Rinocloud API explorer for developers
We took advantage of the awesome open source dropbox api explorer. We have been using it internally for a few weeks to test the rinocloud api.
Its live now at https://rinocloud.github.io/rinocloud-api-explorer/


Gem shows you the news of stocks from your favorite news websites, with a click of a button, in a matter of seconds!
Download it here!
Gem shows you the news of stocks from your favorite news websites, with a click of a button, in a matter of seconds!


Crime Type: {{ctype}}
Crime Level: {{clevel}}
Crime Location: {{location}}
Crime Description: {{cdet}}
Crime Status: {{stat}}
Crime Reported By User: {{name}}
User Phone Number: {{phone}}
User Email: {{email}}
Crime Image:
{% if stat != "Resolved" %} {% endif %} {% if stat == "Pending" %} {% endif %}


|
DeBox PlayerPrefs
|
PlayerPrefs double object store More...
Public Member Functions | |
| PlayerPrefsDouble () | |
| Create a new uninitialized PlayerPrefsDouble More... | |
| PlayerPrefsDouble (string keyName, double defaultValue) | |
| Create a new PlayerPrefsDouble More... | |
| override double | ReadValue () |
| Implementation of ReadValue of SimplePlayerPrefsValue More... | |
| Public Member Functions inherited from DeBox.PlayerPrefsExtensions.SimplePlayerPrefsValue< double > | |
| SimplePlayerPrefsValue () | |
| Create an uninitialized prefs More... | |
| SimplePlayerPrefsValue (string keyName, T defaultValue) | |
| Initialize the PlayerPref object with the Pref KeyName and the default value More... | |
| override void | Delete () |
| Delete the object from player prefs More... | |
| void | Initialize (string keyName, T defaultValue) |
| Initialize the PlayerPref object with the Pref KeyName and the default value More... | |
Public Attributes | |
| override bool | IsSet => PlayerPrefs.HasKey(SubKeyName0) && PlayerPrefs.HasKey(SubKeyName1) |
| Overrides IsSet of SimplePlayerPrefsValue, checks that both 32bit keys that describe the 64 double are set in player prefs More... | |
| Public Attributes inherited from DeBox.PlayerPrefsExtensions.SimplePlayerPrefsValue< double > | |
| virtual T | DefaultValue |
Protected Member Functions | |
| override void | WriteValue (double value) |
| Implementation of WriteValue of SimplePlayerPrefsValue More... | |
Additional Inherited Members | |
| Properties inherited from DeBox.PlayerPrefsExtensions.SimplePlayerPrefsValue< double > | |
| string | KeyName [get] |
| override T | Value [get, set] |
| override bool | IsSet [get] |
PlayerPrefs double object store
The double is split to two integers as Unity.PlayerPrefs has no "double" setter/getter
| DeBox.PlayerPrefsExtensions.PlayerPrefsDouble.PlayerPrefsDouble | ( | ) |
Create a new uninitialized PlayerPrefsDouble
| DeBox.PlayerPrefsExtensions.PlayerPrefsDouble.PlayerPrefsDouble | ( | string | keyName, |
| double | defaultValue | ||
| ) |
Create a new PlayerPrefsDouble
| keyName | The PlayerPrefs prefix for keys of this instance |
| defaultValue | The default value to return if not set in PlayerPrefs |
| override double DeBox.PlayerPrefsExtensions.PlayerPrefsDouble.ReadValue | ( | ) |
Implementation of ReadValue of SimplePlayerPrefsValue
Read two integer playerprefs that together describe the double Each integer is a 32bit part of the 64bit double
|
protected |
Implementation of WriteValue of SimplePlayerPrefsValue
Writes two integer playerprefs that together describe the double Each integer is a 32bit part of the 64bit double
| value | The double value to store |
| override bool DeBox.PlayerPrefsExtensions.PlayerPrefsDouble.IsSet => PlayerPrefs.HasKey(SubKeyName0) && PlayerPrefs.HasKey(SubKeyName1) |
Overrides IsSet of SimplePlayerPrefsValue, checks that both 32bit keys that describe the 64 double are set in player prefs


WITNESS LIST State Affairs Committee February 20, 1997-1:30P SB 291 For: Allen, Mike (Self), Midland Doolan, Kim (Self), Midland Gauthier, Debbie (Self), Midland Hart, Randy (Self), Tyler Lamb, Gary (Self), Abilene Against: Bell,Craig (TX Pharmacy Assn.), San Antonio Fredenburg, William (Int.Assn.Ortho.& Pros.), Schenectady Registering, but not testifying: For: Atha, Scott (TX Assn.of Ortho.&Pros.), Pflugerville Tomblin, Darrell (Self), Azle SB 337 For: Housewright, Karen (MADD), Austin SB 495 On: McLeskey, Kenny (Compt. of Public Accts.), Austin SB 541 For: Garey, Glen (TX Restaurant Assn.), Austin Hansen, Don (TX Hotel & Motel Assn.), Austin Housewright, Karen (MADD), Austin Marosko, Fred (TX Package Stores Assn.), Austin SB 557 On: Bisson, Jim (TXDOT), Austin


Chapter 3 Accessing trait data in R
3.1 Learning Objectives
In this chapter you will learn:
- How to create a summary of available data to query from a TERRA REF season
- How to query a specific trait
- How to visualize query results
3.2 Introduction
In this chapter, we go over how to query TERRA REF trait data using the traits
package. The traits
package is a way to query for various sources of species trait data, including BETYdb, NCBI, Coral Traits Disease and others. In this chapter we use BETYdb as our trait source, as it contains the TERRA REF data that we are interested in.
Our example will show how to query for season 6 data and visualize canopy height. In addition to the traits
package we will also be using some of the tidyverse
packages, which allow us to maniupulate the data in an efficient, understandable way. If you are unfamiliar with tidyverse
syntax, we recommend checking out some of the resources here.
3.3 Query for available traits
3.3.1 Getting Started
First, we will need to install and load the traits package from github, and load it into our environment, along with the other packages we will use in this tutorial.
# devtools::install_github('terraref/traits', force = TRUE) # run once
library(traits)
library(ggplot2)
library(lubridate)
library(dplyr)
library(knitr)
3.3.2 Setting options
The function that is used to query BETYdb is called betydb_query
. To reduce the number of arguments needed to pass into this function, we can set some global options using options
. In this case, we will set the URL used in the query, and the API version.
options(betydb_url = "https://terraref.ncsa.illinois.edu/bety/",
betydb_api_version = 'v1')
3.3.3 Querying available traits
The TERRA REF database contains trait data for many other seasons of observation, and available data may vary by season. Here, we get a visual summary of available traits and methods of measurement for a season.
First we construct a general query for the Season 4 data. This returns all season 4 data. The function betydb_query
takes as arguments key = "value"
pairs which represent columns in the database to query. In this example, we sitename
column for season 4 data, and set the limit to “none” to return all records. By default, the function will search all tables in the database. To specify a particular table you can use the table
argument.
# get all of season 4 data
season_4 <- betydb_query(sitename = "~Season 4",
limit = "none")
The return value for the betydb_query
function is just a data.frame
so we can work with it like any other data.frame
in R.
Let’s plot a time series of all traits returned. First you might notice that the relevant date columns in the season_4
data.frame are returned as characters instead of a date format. Before plotting, let’s get our raw_date
column into a proper date format using functions from dplyr
and lubridate
.
season_4 <- season_4 %>%
mutate(raw_date = ymd_hms(raw_date))
3.3.4 Plot season 4 summary
Now we can create a plot of all of the trait data collected during season 4, including information about the methods used.
ggplot(data = season_4) +
geom_point(aes(x = raw_date, y = mean, color = method_name)) +
geom_line(aes(x = raw_date, y = mean, group = cultivar, color = method_name)) +
facet_wrap(~trait, ncol = 1, scales = "free_y") +
xlab("Date") +
ylab("Mean trait value") +
ggtitle("Season 6 data summary") +
guides(color = guide_legend(title="Method", ncol = 1, title.position = "top")) +
theme_bw() +
theme(legend.position = "bottom")
We can view more information about these trait measurements by examining unique values in the trait and trait description columns.
traits <- season_4 %>%
distinct(trait, trait_description)
kable(traits)
| trait | trait_description |
|---|---|
| canopy_height | top of the general canopy of the plant, discounting any exceptional branches, leaves or photosynthetic portions of the inflorescence. |
| canopy_cover | Fraction of ground covered by plant |
| leaf_desiccation_present | Visual assessment of presence or absence of leaves showing desiccation. 1 = present, 0 = absent |
| leaf_length | Length of leaf from tip to stem along the midrib. |
| leaf_width | width of leaf at widest point along leaf |
| lodging_present | Visual assessment of presence or absence of lodging or severe leaning within a plot. 1 = present, 0 = absent |
| surface_temperature_leaf | Leaf surface temperature estimates of an individual haphazardly selected sunlit leaf in the upper canopy, targeting fully expanded leaves when possible, using hand-held instruments |
| panicle_height | height to top of panicle |
| stand_count | Number of plants per subplot or plot, counted after thinning |
| absorbance_730 | Absorbance at 730 nm |
| relative_chlorophyll | Relative value describing the concentration of chlorophyll in the leaf, ranges from 0 to 80 |
3.4 Querying a specific trait
3.4.1 Querying season 6 canopy height data
You may find after constructing a general query as above that you want to only query a specific trait. Here, we query for the canopy height trait by adding the key-value pair trait = "canopy_height"
to our query function. Note that the limit is also set to return only 250 records, shown here for demostration purposes.
canopy_height <- betydb_query(trait = "canopy_height",
sitename = "~Season 6",
limit = 250)
3.4.2 Plotting query results
As before, we need to reformat the raw date column.
canopy_height <- canopy_height %>%
mutate(raw_date = ymd_hms(raw_date))
And we can generate a time series plot of just the canopy height data.
#plot a time series of canopy height
ggplot(data = canopy_height,
aes(x = raw_date, y = mean)) +
geom_point(size = 0.5, position = position_jitter(width = 0.1)) +
xlab("Date") +
ylab("Plant height (cm)") +
ggtitle("Sorghum canopy height, Season 6 TERRA REF") +
theme_bw()


Voting is very important and may even be considered one's civil duty. Don't be a chump, vote this Year in your local state or national election
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# File lib/rake.rb, line 1314 1314: def include(*filenames) 1315: # TODO: check for pending 1316: filenames.each do |fn| 1317: if fn.respond_to? :to_ary 1318: include(*fn.to_ary) 1319: else 1320: @pending_add << fn 1321: end 1322: end 1323: @pending = true 1324: self 1325: end


This reaction was one that I had to try and figure out after it had happened. The reason for the panic attack was some sort of interaction between my Wellbutrin (which had been prescribed to me a few months prior) and both the Robitussin and Motrin. I highly suggest if you are using Wellbutrin to ask your doctor about interactions.
It was one of those dreary feverish sicknesses that one comes across during the summer which can be warded off by the usual medicine for temporary relief. I had taken my Wellbutrin as I do every day to a total of 300 mg then popped my dose of pain relief and drank the dose of Robitussin. Tonight I was to go see a movie... A Beautiful Mind to be exact, but tonight I would not enjoy the movie as much. Recently, I had been experiencing strange panic attacks where I felt very dizzy and seemed to have a hard time taking in enough oxygen, but of course I didn't think twice about interactions. Certain times throughout the movie I experienced these incredible waves of heat and dizziness, feeling as though 'what's next why did I take all that medicine!' Triggered by a startling scene in the movie I was soon off the seat and floating high above the chairs spinning around with the lights dancing mystically around me.
I was frightened for I had few psychadelic experiences before and especially because it was triggered by an acute panic. Finally as I became more conscious I was so relieved that I made it back. Proud of my calmness during the experience because my girlfriend right beside me had no idea. It was obvious that something went wrong during the experience, but the feeling behind the visuals was truly terrifying. After this experience I begin to question what I can take with Wellbutrin SR and I'd really like to know if anyone else has had strange reactions with illegal and/or legal drugs while on Wellbutrin.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


It’s time to leave the mainstream marketplace and level up on the corporate ladder. This could be the best opportunity to gain that career boost, venturing away from a monotonous and cyclical state and moving towards your envisioned reality. Here’s everything you need to know about the upcoming EXECUTIVE SUMMIT: JOURNEY
Being confident of this, that he who began a good work in you will carry it on to completion until the day of Christ Jesus. – Philippians 1:6 NIV Life is always full of surprises.  But whatever situation comes
Eighteen years have passed in this journey of serving God and fulfilling our destiny. In this season, we are making another step that will strengthen our faith as a church. Marami na po tayong pinagdaanan, nagpalipat-lipat na po tayo ng venue, at isang bagay ang ating napatunayan, our God always


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Rupees Collector Homework
Click each rupee below with a mystery value to find out!
I don't have any change so I need an exact amount..


Consider a polynomial ring in N variables. For any hilbert function, there is a unique lexsegment ideal. Furthermore, this ideal has graded Betti numbers that are at least as large as those of any other ideal with that hilbert function.
The Hilbert function of a lexsegment ideal is determined by the values in the degrees that are at and below the largest degree of any generator. As a result, it makes sense to specify the Hilbert function through the largest degree of a generator and then truncate the rest of the function.
This function returns the lexsegment ideal with the given Hilbert function.
Note: this method is significantly faster than the similar lexIdeal from the package LexIdeals.
i1 : lexsegmentIdeal (QQ[x_1..x_4], {1,2,3,3,3,3}) 3 o1 = ideal (x , x , x ) 1 2 3 o1 : Ideal of QQ[x , x , x , x ] 1 2 3 4 |
i2 : lexsegmentIdeal (QQ[x_1..x_4], {1,2,3,3,3,3,0}) --Artinian 3 2 4 5 6 o2 = ideal (x , x , x , x x , x x , x ) 1 2 3 3 4 3 4 4 o2 : Ideal of QQ[x , x , x , x ] 1 2 3 4 |
i3 : lexsegmentIdeal (QQ[x_1..x_5], {1,5,15,35}) o3 = ideal 0 o3 : Ideal of QQ[x , x , x , x , x ] 1 2 3 4 5 |


Well Colour Me Employed!
I’ve just finished my first week working at Studio Mashbo and for the first time in nearly 2-3 weeks I’ve had a chance to just sit down and breathe. True financial independence is within arms reach, all I have to do is the thing that I’ve just spent 3 years studying and obtained a degree in. No problem?
After graduation and the cleanup of bits and bobs from university, I’d moved back to Rhewl where there was complete lack of train travel and a restrictive bus transport system. I had planned to find a job before committing to such expenses as rent, water, elecky etc. but suddenly I was faced with this logistical nightmare; if I got an interview, how on earth would I get to it? Let alone that first week of work assuming I got the position.
After much pestering from Sam and scraping of funds from various savings, we arrived in Liverpool: Jobless, bedless (but not homeless) and scared !@#?less. We were in the undesirable predicament of no income and bills to pay; Sure I’d paid our 6 months rent in advance, but the master plan consisted of “…the bills can come out of my overdraft and in the mean time I’ll get a job…”
Not the most wonderful of plans I’ll admit however three years on a campus university has meant that driving lessons were never particularly high on my priorities list. Sure I can see the value of a driving licence but I simply had other things to spend my money on. Like food.
Sam, assuming the role of worry-er, soon tired of my lack of progress in the graduate job market and issued me an ultimatum; get a job before the 2 month mark or start applying to part time temporary roles in other sectors such as retail and service (a part of my life that I have long since considered over).
Then Mashbo happened. And it happened quick. I stumbled across a job listing for a Junior PHP developer on their blog. Appreciating the “feel” the website gave me and their recent involvement with CALM I decided that despite a distinct lack experience with PHP I was going to apply anyway. It also helped that I had some basic experience with some of the more extra-curricular requirements for the role; notably SASS and Git. If you’re not already, start using Git immediately. You will only benefit.
Very soon after I was asked to come into an interview, which I (quite correctly) put back as far as possible to give me time to review everything I could in preparation for the role. I was in regular contact with the studio, requesting some direction in terms of reading for the technologies they used in their day to day work.
The interview itself went rather well. I inevitably had to admit that my PHP skills were rather lacking. But overall it seemed that they were much more interested in who I was, rather than how well I knew any particular language.
Half a week later I was being offered the role. Oh holy luftwaffles.
Then came the horrible realisation that I am now employed to develop public facing web applications. In PHP. And I know nothing.
The Dunning-Kruger Effect is this wonderfully horrible psychology effect where your study and experience of a domain leads you to realise how much material there is that you don’t know. Practically this is quite useful, it opens up the doors for future research and learning, points you in a multitude of directions for self development. But in regards to the here and now? It’s pretty bad. Imagine going into an interview for a role with only an awareness of how much stuff you don’t know, and that you know enough to know that chances are you need to know most of it in order to effectively carry out the role you’re interviewing for. Got that? Now imagine you get the role and suddenly you’re being paid thousands of pounds a year to do the thing that you know you don’t know enough about to do. There’s no time for research and learning: you start next week. Pass me the paper bag I’m about to be sick.
Well a week and half later and I’ve not been fired. I’m still painfully aware of the holes in my brain, but now I’m working pretty much none stop to fill them. To not let the team down, to feel like I’ve earned my wage, to not be the guy that came into an interview and cheated his way into a position he didn’t deserve. It’s been a cracker of a week, but that’s for another post. For now I’m happy just to have gotten to my first weekend without breaking something. That I know of… I should probably get back to my studies.


|
retinanet-cell-detection
1
retinanet-cell-detection: RetinaNet for cell detection.
|
Copyright 2017-2018 Fizyr (https://fizyr.com) More...
Namespaces | |
| densenet | |
| Copyright 2018 vidosits (https://github.com/vidosits/) | |
| mobilenet | |
| Copyright 2017-2018 lvaleriu (https://github.com/lvaleriu/) | |
| resnet | |
| Copyright 2017-2018 Fizyr (https://fizyr.com) | |
| retinanet | |
| Copyright 2017-2018 Fizyr (https://fizyr.com) | |
| vgg | |
| Copyright 2017-2018 cgratie (https://github.com/cgratie/) | |
Classes | |
| class | Backbone |
| This class stores additional information on backbones. More... | |
Functions | |
| def | backbone (backbone_name) |
| Returns a backbone object for the given backbone. More... | |
| def | load_model (filepath, backbone_name='resnet50') |
| Loads a retinanet model using the correct custom objects. More... | |
| def | convert_model (model, nms=True, class_specific_filter=True, anchor_params=None) |
| Converts a training model to an inference model. More... | |
| def | assert_training_model (model) |
| Assert that the model is a training model. More... | |
| def | check_training_model (model) |
| Check that model is a training model and exit otherwise. More... | |
Copyright 2017-2018 Fizyr (https://fizyr.com)
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
| def mynet.models.assert_training_model | ( | model | ) |
Assert that the model is a training model.
| def mynet.models.backbone | ( | backbone_name | ) |
Returns a backbone object for the given backbone.
| def mynet.models.check_training_model | ( | model | ) |
Check that model is a training model and exit otherwise.
| def mynet.models.convert_model | ( | model, | |
nms = True , |
|||
class_specific_filter = True , |
|||
anchor_params = None |
|||
| ) |
Converts a training model to an inference model.
| model | : A retinanet training model. |
| nms | : Boolean, whether to add NMS filtering to the converted model. |
| class_specific_filter | : Whether to use class specific filtering or filter for the best scoring class only. |
| anchor_params | : Anchor parameters object. If omitted, default values are used. |
| ImportError | if h5py is not available. ValueError: In case of an invalid savefile. |
| def mynet.models.load_model | ( | filepath, | |
backbone_name = 'resnet50' |
|||
| ) |
Loads a retinanet model using the correct custom objects.
| filepath | : one of the following:
|
| backbone_name | : Backbone with which the model was trained. |
| ImportError | if h5py is not available. ValueError: In case of an invalid savefile. |


| DOSE: T+ 0:00 |
10 g |
oral |
Syrian Rue |
(liquid) |
| T+ 0:10 |
2 hits |
oral |
LSD |
(blotter / tab) |
| T+ 0:45 |
|
smoked |
Cannabis |
|
I made a crude extraction of Syrian Rue by boiling approximately 20 grams of the coarsely ground seeds in water and lemon juice. I kept the brew on a low boil for about 2 hours, drained off the orange liquid into a cup, and repeated the process with fresh water and lemon juice.
The next morning at 7:00 a.m. I slowly consumed a beverage made from sugar and about half the syrian rue extract. I thought the extract of 10 grams of seeds should be about the proper dose for MAO inhibition to synergize with the two doses of LSD I consumed 10 minutes later. I had packed a backpack full of enough gear to stay outside all day, so I foolishly got in the car to drive to a local park about 15 minutes away.
I arrived at my destination before the drugs started their effect, but as soon as I got out of the car and started to walk around, I realized I was extremely dizzy, light-headed, and sensitive to sunlight. I continued to walk into the woods, but my symptoms progressed to increased sweating and nausea. I proceeded to vomit the Syrian Rue extract and LSD onto the ground. I felt slightly better, so I decided to head back to the car. I slowly dragged my tired body to the car, stopping to catch my breath every few minutes. Just before arriving at my car, I had another vomiting session.
I foolishy decided to drive back to my apartment before I became even sicker. On the drive back, I had to take a few minute off-road break for another session of vomiting. When I arrived, I managed to become comfortable on my bed. I then slept, vomited, and smoked marajuana to reduce nausea for the next 8 hours.
I think the MAOIs of the Syrian Rue caused a hypertensive crisis and then induced sleep for a recovery period. I had avoided all foods and drugs unsafe with MAOIs. I do not know if the LSD had any effect since I vomited it up so early. I do know that it was foolish of me to consume an indeterminate dose of MAOIs. Be careful of overdosing on extractions of Syrian Rue.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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