Is productivity a measure of success?
I guess I will start with saying that I don’t feel like I have any massive issues with productivity, or working self-directed. As an artist, the things I struggle most with is a work/social/creative balance. I have yet to find a combo that doesn’t loose one of these three components, which is why I am actively working on merging work and creativity..
The thing I found most interesting about these readings actually is it made me aware of the sheer amount people are searching for ways to improve their productivity. I lived in Melbourne for about a year when I had finished University and one thing that I really didn’t like about living in a city that size (and it is small compared to some cities in this world!) was how fast the city moved! When I first got there I tried to keep up, but it is not humanly possible to keep up with a city of that size and walk away without some massive health issues. I guess that was my lesson in how it is ok to take the time and space I need in order to live a good life. I then moved out of the city not long after that realisation because I felt there was social expectations I was not willing to live up to.
I have worked in the hospitality industry most of my life and maybe the reason why I have never had to worry about increasing productivity is because my jobs have been as productive as they have needed to be purely by turning up to work and serving people you are being productive…
I have worked with experimenting with mindfulness and meditation as a way to relieve stress (which I guess adds to extra productivity..?). I find these tools massively positive, however I fall out of the habit because I put too much expectation on myself to sit for 30 minutes or do more, the changing habits techniques regarding moving in tiny steps could be a really positive way to increase the benefits of these activities.
I have decided for the next little while as well I will work at experimenting with the 25 minute intervals, this is really to make sure I stop and take breaks rather than increasing productivity. I have never attempted to spend so much time in front of a screen so it goes hand in hand with good physical health practices.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
This easy chicken recipe is a great meal to have bubbling away on the stove for a simple supper with friends or a family-friendly mid-week meal. This is designed to be a low cost recipe.
This recipe is perfect for batch cooking, cook the chicken sauce and divide it into portions and pop in the freezer, it will keep in the freezer for 2 months. You can cook the potatoes while you reheat the sauce.
Heat a large saucepan over a medium heat. Add the oil and, once hot, add the chicken thighs, skin side down. Brown the chicken on each side for 3-4 minutes, or until nicely golden-brown all over. Remove the thighs from the pan and set to one side.
Add the onion and carrot with a pinch of salt to the saucepan and stir over the heat. Fry for 6-7 minutes, or until the onions are soft and translucent. Add the garlic and continue to cook for two more minutes.
Add the browned chicken back to the pan along with any juices from the meat. Pour over the tomatoes, stock and mixed herbs and mix well to make sure everything is evenly distributed. Season with a little salt and pepper, cover with a lid and gently simmer for 20 minutes, or until the chicken is cooked through and the sauce thickened slightly.
Meanwhile boil the potatoes in a saucepan of boiling water for 10-12 minutes, or until tender and cooked through. Drain and serve alongside the cooked chicken.


List of subjects:
- Computer Engineering
- Software Engineering
- Information Security
- Computer Graphics
- Electrical Engineering
- Electrical Machines
- Power Electronic
- Micro controller
- Electronic Engineering
- Image Processing
- Digital Electronics
- Digital Signal Processing


Learn
& Acquire
Our first tenet focuses on learning the skills necessary to lay out what we wish to do. Not shying away from asking why A does not B harms no one! This step entails both teaching as well as learning.
Network for the Open Web
A Mozilla Campus Club
N.O.W. was founded in 2018 with one purpose; well technically, three interwoven principles:
Learn
& Acquire
Our first tenet focuses on learning the skills necessary to lay out what we wish to do. Not shying away from asking why A does not B harms no one! This step entails both teaching as well as learning.
Build
& Implement
The second tenet shifts our focus to applying what we have learned in a practical situation. We encourage people to actively work with people in order to create something together.
Protect
& Preserve
We work towards sharing the importance of appropriately securing your content. This third tenet explores the potential of employing open-source techniques to ensure that data is safeguarded.
To that extent, the club has executive members that are responsible with each of these roles, along with a Club Captain. We also have members belonging to cells suited to their skills. We have conducted a few events, and have laid the groundwork for some more in the coming year.
We're into everything Open Source and all things Secure.


Next Reset
Keep making posts and collect points, so you can spend and buy some upgrade for your doggo.
Default
Hat
Scarf
Flower Crown


The most funny way to highlight popcorn events in the TYPO3 Community.
All content is heavily biased and exaggerated to make it more funny. Please don't be offended.
--- layout: default title: Homepage section: home ---
Milestones in TYPO3 history
The most funny way to highlight popcorn events in the TYPO3 Community.
All content is heavily biased and exaggerated to make it more funny. Please don't be offended.


32 references to AssertChangesAreAccepted
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Thursday Island (also known locally as just 'T.I') and Horn Island are located off the very northern tip of Queensland in the Torres Strait (between the Australian Mainland and Papua New Guinea). Whilst Horn Island is the larger of the two, TI is more heavily populated and has more services, including Customs and AQIS.
TI is a small and friendly place to stop, but it can be very windy here and anchoring is the only option.
Location 10° 34.5' S, 142° 12.5' E
All photos courtesy of Sailing Yacht Yindee Plus (2014)
Port Control (or "Points North") should be contacted on arrival on VHF Ch. 16, 08:30-17:00.
They will either direct you to the Customs dock, or to one of the anchorages (depending on the weather). Customs, Immigration and Quarantine offices are all only a 5 minute walk from the main jetty once you are ashore.
If the anchorage at Thursday Island is too uncomfortable, then it is possible to anchor off Horn Island (see photo) and take the ferry across to Clear in/out.
You have 24 hours to leave after clearing out.
Last updated October 2014.
It can often be windy here, so depending on conditions there are two authorised anchorages to choose from:
1. To the south of Thursday Island to the east or west of the two main jetties, or
2. Opposite, just off the north west shoreline of Horn Island between Madge Reef and Horn Island. In SE winds, the Horn Island anchorage provides greater protection. The anchorage west of the wharves has 10m over mud.
If you are unsure which would be the best anchorage, contact 'Ports North' for advice. They can be reached on VHF16, or their office can be found just to the north of the northern most town jetty.
There is a regular daytime passenger ferry service that operates between TI and Horn Island. TI has far more facilities ashore, including supermarkets and bars.
Dinghies can be taken to the jetties at the main wharf on TI, but as always, ensure that both dinghy and engines are padlocked before you leave them.
Last updated October 2014.


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Source code for importers.issue_tracker.github.querier_github
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'valerio cosentino'
from github import Github
from util.date_util import DateUtil
from util.token_util import TokenUtil
import re
[docs]class GitHubQuerier():
"""
This class collects the data available on the GitHub issue tracker via its API
"""
def __init__(self, url, token, logger):
"""
:type url: str
:param url: full name of the GitHub repository
:type token: str
:param token: a GitHub token
:type logger: Object
:param logger: logger
"""
try:
self._logger = logger
self._url = url
self._token = token
self._github = Github(token)
self._repo = self._load_repo(self._url)
self._token_util = TokenUtil(self._logger, "github")
self._date_util = DateUtil()
except:
self._logger.error("GitHubQuerier init failed")
raise
def _load_repo(self, url):
# connect to the GitHub API
try:
repo = self._github.get_repo(url)
return repo
except Exception:
self._logger.error("GitHubQuerier error loading repository " + url + "- ", exc_info=True)
raise
[docs] def get_issue_ids(self, before_date):
"""
gets data source issue ids
:type before_date: str
:param before_date: selects issues with creation date before a given date (YYYY-mm-dd)
"""
issue_ids = []
page_count = 0
self._token_util.wait_is_usable(self._github)
last_page = int(self._repo.get_issues(state="all", direction="asc")._getLastPageUrl().split("page=")[-1])
while page_count != last_page + 1:
self._token_util.wait_is_usable(self._github)
issues = self._repo.get_issues(state="all").get_page(page_count)
for i in issues:
if before_date:
if i.created_at <= self._date_util.get_timestamp(before_date, "%Y-%m-%d"):
issue_ids.append(i.number)
else:
issue_ids.append(i.number)
page_count += 1
if issue_ids:
issue_ids.sort()
return issue_ids
[docs] def get_issue(self, issue_id):
"""
gets issue
:type issue_id: int
:param issue_id: data source issue id
"""
self._token_util.wait_is_usable(self._github)
return self._repo.get_issue(issue_id)
[docs] def get_issue_summary(self, issue):
"""
gets summary of the issue
:type issue: Object
:param issue: the Object representing the issue
"""
return issue.title
[docs] def get_issue_body(self, issue):
"""
gets body of the issue
:type issue: Object
:param issue: the Object representing the issue
"""
return issue.body
[docs] def get_issue_version(self, issue):
"""
gets version of the issue
:type issue: Object
:param issue: the Object representing the issue
"""
version = None
if issue.milestone is not None:
version = issue.milestone.number
return version
[docs] def get_issue_creation_time(self, issue):
"""
gets creation time of the issue
:type issue: Object
:param issue: the Object representing the issue
"""
return issue.created_at
[docs] def get_issue_last_change_time(self, issue):
"""
gets last change date of the issue
:type issue: Object
:param issue: the Object representing the issue
"""
return issue.updated_at
[docs] def get_issue_creator(self, issue):
"""
gets creator of the issue
:type issue: Object
:param issue: the Object representing the issue
"""
try:
found = issue.user
except:
found = None
return found
[docs] def get_user_email(self, user):
"""
gets the email of the issue creator
:type user: Object
:param user: the Object representing the user
"""
try:
found = user.email
except:
found = None
return found
[docs] def get_user_name(self, user):
"""
gets the user name of the issue creator
:type user: Object
:param user: the Object representing the user
"""
try:
found = user.login
except:
found = None
return found
[docs] def get_issue_comment_body(self, issue_comment):
"""
gets the body of the issue comment
:type issue_comment: Object
:param issue_comment: the Object representing the issue comment
"""
return issue_comment.body
[docs] def generate_attachment_id(self, message_id, pos):
"""
creates the attachment id
:type message_id: int
:param message_id: the data source message id
:type pos: int
:param pos: position of the message
"""
return str(message_id) + str(pos)
[docs] def get_attachments(self, comment):
"""
gets the attachements within a comment
:type comment: str
:param comment: content of the comment
"""
p = re.compile("\[.*\]\(http.*\)", re.MULTILINE)
matches = p.findall(comment)
attachments = []
for m in matches:
attachments.append(m)
return attachments
[docs] def get_attachment_name(self, text):
"""
gets the name of the attachement
:type text: str
:param text: content of the comment
"""
parts = text.split('](')
name = parts[0].lstrip('[')
found = name
if not found:
found = parts[1].split('/')[-1]
return found
[docs] def get_attachment_url(self, text):
"""
gets the URL of the attachement
:type text: str
:param text: content of the comment
"""
parts = text.split('](')
return parts[1].rstrip(')')
[docs] def get_referenced_issues(self, comment):
"""
gets the referenced issues within a comment
:type comment: str
:param comment: content of the comment
"""
p = re.compile('#\d+', re.MULTILINE)
matches = p.findall(comment)
referenced_issues = []
for m in matches:
referenced_issues.append(m.strip('#'))
return referenced_issues
[docs] def get_event_creation_time(self, event):
"""
gets the creation time of an event
:type event: Object
:param event: the Object representing the event
"""
return event.created_at
[docs] def get_event_actor(self, event):
"""
gets the actor of an event
:type event: Object
:param event: the Object representing the event
"""
return event.actor
[docs] def get_issue_history(self, issue):
"""
gets the event history of an issue
:type issue: Object
:param issue: the Object representing the issue
"""
events = []
self._token_util.wait_is_usable(self._github)
for event in issue.get_events():
events.append(event)
return events
[docs] def regenerate_token(self):
"""
regenerate GitHub token
"""
self._github = Github(self._token)
[docs] def find_user(self, login):
"""
finds GitHub user
:type login: str
:param login: GitHub username
"""
found = None
self._token_util.wait_is_usable(self._github)
users = self._github.search_users(login, **{"type": "user", "in": "login"})
for user in users:
found = user
break
return found
[docs] def get_issue_subscribers(self, history):
"""
gets subscribers of an issue
:type history: Object
:param history: the Object representing the events of an issue
"""
subscribers = []
for event in history:
if event.event == "subscribed":
subscribers.append(event.actor)
return subscribers
[docs] def get_issue_assignees(self, history):
"""
gets assignees of an issue
:type history: Object
:param history: the Object representing the events of an issue
"""
assignees = []
for event in history:
if event.event in ["assigned", "unassigned"]:
if event.event == "assigned":
assignees.append(event._rawData.get('assignee'))
elif event.event == "unassigned":
assignees.remove(event._rawData.get('assignee'))
return assignees
[docs] def get_commit_dependencies(self, history):
"""
gets dependencies between an issue and commits
:type history: Object
:param history: the Object representing the events of an issue
"""
commit_dependencies = []
for event in history:
if event.event == "referenced":
commit_dependencies.append(event.commit_id)
return commit_dependencies
def get_author_by_commit(self, sha):
self._token_util.wait_is_usable(self._github)
commit = self._repo.get_commit(sha)
return commit.author


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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
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TITLE HERE
CSS Positioning
Static
This is the default setting. Essentially, is not positioned in relation to anything else.
Relative
This behaves the same as static unless it is given properties (top, right, bottom, left) which will cause the element to be adjusted. Other content will not be adjusted to fit inot any gap left by the element.
Fixed
This will poistion the element relative to the viewport so that even if scorlled it will remain in the same place.
Absolute
This behavies like fixed positioning except that it will be relative to the nearest poistioned ancestor instead of viewport.
Float
This allows you take that element out of normal flow and position it to the far left or right f the containing box. The element becomes a block-level element that other content flows around.


{% extends 'symcon/base.html' %} {% load i18n %} {% load bootstrap_pagination %} {% block content %}
{% trans "The information on this page is automatically extracted from GitHub." %}
{% trans "Please contact the repository owners about invalid/illegitimate content." %}
{% trans "Contact information can be found on the module and library detail pages." %}
{% blocktrans with count=library_count %}Listing a total of {{ count }} libraries{% endblocktrans %}


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Research and analysis
A summary of responses to questions submitted to 2 waves of the National Foundation of Educational Research (NFER) teacher voice omnibus.
Ref: ISBN 978-1-78105-424-6 , DFE- RB391 PDF , 226KB , 15 pages
Questions covered the following topics:
Published: 24 October 2014


Chocolate pizza
POSTED ON 15 DEC 2013 /DESSERTS
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged
- 1 1/2
- 1 1/2


winstat features
wbadmin get status
wbadmin get items
gpresult /H gpols.htm
bcdedit /export <filename>


Let's get started.
1. Click on the Elements tab in Chrome Dev Tools and make some changes.
2. Head over to the hotfix panel to see a list of files you have edited.
3. Select a repository and branch to commit to.
4. Enter a commit message.
5. Commit.
Simple enough, right? Note: The full path of the file is what will be pushed to GitHub. In other words, the root of your GitHub repo should match the root of your project.That's about it. Have fun and let me know if you have any problems.


Welcome to pydateparser’s documentation!¶
” Date Parser Adapter.
-
class
pydateparser.date_parser.
DateParser
(text, start_year, end_year, locale=None)[source]¶ CoreDateParser Adapter class.
Parameters: - text (str) – a string/text document from which we can extract dates.
- start_year (int) – define the start year from which to look for the date.
- end_year (int) – define the end year from which to look for the date.
- locale (None, str, list) – define the type of dateformat(currently supports ‘USA’, ‘EU’), default is None. or pass your own list of patterns.
Returns: list of DATE objects.
Return type: list
Note
DATE is a namedtuple, which gives out the actual extracted date, token_span, token_index and format (matched format) items.
” Defines various supported locale/types.
-
class
pydateparser.date_formats.
DateFormats
[source]¶ standard dateformats, according to the various locales. currently defines most comman formats for ‘USA’ & ‘EU’.
default formats:
- {‘USA’: [
- ‘%b %d %Y’, ‘%b %-d %Y’, ‘%b %d, %Y’, ‘%b %-d, %Y’, ‘%B %d, %Y’, ‘%B %-d, %Y’, ‘%B %d %Y’, ‘%B %-d %Y’, ‘%m/%d/%Y’, ‘%m/%-d/%Y’, ‘%m/%d/%y’, ‘%m/%-d/%y’
- ],
- ‘EU’: [ ‘%b %d %Y’, ‘%b %-d %Y’, ‘%b %d, %Y’, ‘%b %-d, %Y’, ‘%B %d, %Y’, ‘%B %-d, %Y’, ‘%B %d %Y’, ‘%B %-d %Y’, ‘%d/%m/%Y’, ‘%-d/%m/%Y’, ‘%d/%m/%y’, ‘%-d/%m/%y’
]}


{% extends "base.html" %} {% block title %}
Medieval catalogues > LIBRARIES OF KING HENRY VIII > Westminster > Inventory of the Upper Library, 1542
{% endif %}1655 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


This is going to be a very basic overview of these terms, as I am still coming to understand them myself. In Ruby there are three different ways to pass code to a method: Blocks, procs, and lambdas.
A block should be familiar to anyone who has used a method such as .each
, .map
, or .each_with_index
(among a myriad of others, of course). In the docs, it appears as this: each { |item| block } -> ary
, which indicates to the .each
method, "Refer to each element in the array as the variable item and do block to it until you reach the end of the array."
ary = [1, 2, 3]
ary.each { |num| puts num * 2 }
# => 2
# => 4
# => 6
Simple enough, right? We can see the relationship between the block and the method that it's being passed to. (Another way to think of this is that the method temporarily yields control to the block.) What if I want to pass more than one block to my method?
ary.each { |num| puts num + 1 } { |num| puts num * 2 }
# => syntax error, unexpected { arg, expecting end-of-input
If you've had any experience with Ruby methods, you could probably tell from looking at that code that it wouldn't work. It just doesn't look quite right. This is where procs come in. Procs, short for procedures, are members of the Proc class (as are blocks, which may seem confusing at first). A proc can be saved in a variable, allowing it to be used in multiple methods.
p = Proc.new { puts "Hello world!" }
p.call # => Hello world!
p.class # => Proc
Now let's try passing three procs into a method.
proc_1 = Proc.new { puts "Hello" }
proc_2 = Proc.new { puts "Hi!" }
proc_3 = Proc.new { puts "Hey there" }
def print_msgs (x, y, z)
x.call
y.call
z.call
end
print_msgs(proc_1, proc_2, proc_3)
# => Hello
# => Hi!
# => Hey there
Lambdas are also members of the Proc class. Unlike procs, lambdas recognize how many arguments they're supposed to receive.
lam = lambda { |x, y| x + y }
lam.call(1,2) # => 3
lam.call(1) # => wrong number of arguments (1 for 2) (ArgumentError)
proc = Proc.new { |x, y| x + y }
proc.call(1) # => rb:41:in `+': nil can't be coerced into Fixnum (TypeError)
In this case, proc knows something is wrong, but it's not because it received the incorrect number of arguments. Proc assigned x to 1, then didn't have anything left to assign to y, so it used nil. You can't add nil, a member of the Nil class, to 1, a member of the Integer class, so we got the resulting error message.
The other difference between procs and lambdas lies in their use of return.
This was a tricky concept for me, so I am going to use an example adapted from RubyMonk:
def first_method
Proc.new { return "we just returned from the block" }.call
return "we just returned from the calling method"
end
puts first_method # => we just returned from the block
def second_method
lambda { return "we just returned from the block" }.call
return "we just returned from the calling method"
end
puts second_method # => we just returned from the calling method
Here, the call to the Proc object returns the string held within it. The code then exits the method. In second_method, the return
within the lambda object passes control back to the method, which exits with its own return
.
All four of the topics discussed here -- methods, blocks, procs, and lambdas -- fall under the term closures and refer to ways that you can pass pieces of code around. A block is an anonymous piece of code passed to a method. A proc is similar to a block, but it can be stored in a variable and therefore used more than once and in different places. Multiple procs can be passed to a method (on the other hand, a method can only accept a single block). A lambda is similar to a proc, but recognizes the number of arguments that it is meant to accept. A lambda also uses return
to relinquish control back to the method that contains it.
Admittedly, I've spent far longer than a single hour on this blog post (my initial goal). This was a very difficult concept for me to grasp, and I'm sure that I haven't done the topic justice. However, this was a good opportunity to challenge myself and stretch my understanding of more difficult concepts. If you have any feedback, please feel free to reach out to me via email or Twitter!


Three seriously injured after car smashes into home and sets it on fire on Scottish isle
by Scotsman ReporterThree people have suffered serious injuries after the car they were travelling in crashed into a house and became engulfed in flames.
The incident on the Isle of Lewis happened at around 1.30am on Saturday on the A857, after the junction with the A858, known as Barvas Corner.
A blue Vauxhall Zafira crashed into a house, which resulted in both being set on fire.
Emergency services attended and the occupants of the car - three men aged 22, 32 and 36 - and a 61-year-old woman who was in the house were safely removed by police.
The driver and two passengers were taken to Western Isles Hospital for treatment to serious injuries.
A 32-year-old man was arrested in connection with road traffic offences.
The road is down to single-lane traffic while police investigate.
Sergeant Donald Sinclair, of Stornoway's Church Street station, said: "Our inquiries into the circumstances of the crash are ongoing and I am appealing for anyone who saw the crash or who saw a blue Vauxhall Zafira being driven on the A857 before 1.30am to come forward.
"I'm particularly keen to speak to anyone who may have dashcam footage which could help with our inquiries."


This area is under construction and will be back up shortly.
I have been devloping elegant sites in HTML, CSS, JavaScript, and Ruby on Rails since June of 2015.
When I'm not coding, I'm ypically out exploring new parts of the country or brewing up a batch of homebrewed beer.
Come check out some of the amazing places i have been and some of the beautiful photos I've taken:
09/2014 - Present
Technical Recruiter
07/2012 - 09/2014
05-2011 - 07/2011
General Manager from Line Cook
05/2011 - 07/2012
General Manager from Line Prep
05/2015 - 06/2015


{{ data.event_year }} Texas Independence Relay
{% if data.iscaptain %}Team Registration
You are signing up to captain a new team. If you're an individual (or with a small group) that would like to be placed on a team, click here.
{% else %}
Joining Team {{ data.selectedteam.0.Bib }} : {{ data.selectedteam.0.Name }}
This form is for joining an existing team.
{% endif %}
{% if data.iscaptain %} Captain's {% endif %} Contact Information
{% if data.userteaminfo.iscaptain %} Captain's {% endif %} Registration Information
{% else %}
{% endif %}


Majors: Computer Science, Data Science, Applied Math, Statistics, Economics
Activities: Extended Reality @ Berkeley, UC Berkeley Quiz Bowl, Blue and Gold Yearbook, Math Undergraduate Association, Undergraduate Research Apprenticeship Program (Coleman Lab), Food Science and Tech at Cal
Coursework: Structure and Interpretation of Computer Programs (CS 61A), Data Structures (CS 61B), Machine Structures (CS 61C), Computer Security (CS 161), Efficient Algorithms and Intractable Problems (CS 170), Introduction to Artificial Intelligence (CS 188), Multivariable Calculus (Math 53), Linear Algebra and Differential Equations (Math 54), Discrete Mathematics (Math 55), Designing Information Devices and Systems II (EECS 16B), Introduction to Analysis (MATH 104), Introduction to Complex Analysis (MATH 185), Honors Linear Algebra (MATH H 110), Abstract Algebra (MATH 113), Numerical Analysis (MATH 128A), Numerical Analysis (MATH 128B), Foundations of Data Science (DATA 8), Principles and Techniques of Data Science (DATA 100), Concepts In Computing With Data Foundations of Data Science (STAT 133), Concepts of Probability (STAT 134), Stochastic Processes (STAT 150), Nonlinear and Discrete Optimization (IND ENG 160), Principles of Business (UGBA 10)
Activities: Math Team Contest Preparation Club President, Math Team, Physics Team, Solar Boat, First Robotics Competition, Academic Decathlon, Science Olympiad, StellarXplorers, Stage Crew, La Pantera Yearbook, Technology Student Association, Science Research, Ocean Bowl, Science Bowl, Baccalaureate Speaker, South Bay Math Circle, Science National Honor Society, Chinese National Honor Society, Mu Alpha Theta, Scholar Quiz, Principal's Advisory Council, California Scholarship Federation
Coursework: 24 AP's (California State AP Scholar 2019; most tests taken in California): AP Calculus BC, AP Calculus AB, AP Statistics, AP Computer Science Principles, AP Computer Science A, AP Physics 1, AP Physics 2, AP Physics C: Mechanics, AP Physics C: ELectricity and Magnetism, AP Chemistry, AP Biology, AP Environmental Science, AP English Language and Composition, AP English Literature and Composition, AP Music Theory, AP Human Geography, AP Microeconomics, AP Macroeconomics, AP United States Government and Politics, AP Comparative Government and Politics, AP World History, AP European History, AP United States History, AP Psychology


{% extends 'cardapp/partial/common_detail.html' %} {% block specific_metadata %}
Show cards in this deck {{object.cards.get_public.count}}
Show card maps based on this deck {{object.cardmaps.get_public.count}}


Before Change
// since it is assumed that training stories contain
// only unhappy paths, notify the form that
// it should not be validated if predicted by other policy
tracker_as_states = self.featurizer.prediction_states([tracker], domain)
states = tracker_as_states[0]
memorized_form = self.recall(states, tracker, domain)
state_is_unhappy = (
After Change
// since it is assumed that training stories contain
// only unhappy paths, notify the form that
// it should not be validated if predicted by other policy
states = self._prediction_states(tracker, domain)
memorized_form = self.recall(states, tracker, domain)
state_is_unhappy = (


---
title: Main Nav
subtitle: Subtitle
layout: layout-docs
category: Standard
icon: mainnav
breadcrumb: General
js: true
order: 2
---
The main nav is a standard navigation component that must be present in all pages of '.gov.sg'
websites.
Previous version of sgds used the .navbar class which is now deprecated
and may not longer receive updates or fixes. While .navbar may work, it is
recommended that you use .sgds-navbar instead, which would also not clash
with other css frameworks like Bootstrap.
Basic main nav without search. Applicable for small websites with a limited number of pages.
To accommodate links containing longer text, add .has-item-max-width to .sgds-navbar-start or .sgds-navbar-end
to fix the width of their children .sgds-navbar-item elements.


Now by using anonymous block and simple flow control statements, you will generate the random customers, products and random orders to simulate the application regressly.
Anonymous block in the right pane will generate
After running the anonymous block you can see several orders generated by the random customers.
DB2 9.7 offers Command Line Processor Plus (CLPPlus) which provides a command-line user interface that you can use to connect databases and to define, edit, and run statements, scripts, and commands. You can watch a video in Enablement Videos section under Enablement Resources on the left pane on how to use CLPPlus.


search
Expandable Input
Test:
0
|
access_time
0
ms |
done
0
|
close
0
TestSuite - Test
Run all tests
Run failed test


gameanalysis.learning module¶
Package for learning complete games from data
The API of this individual module is still unstable and may change as improvements or refinements are made.
There are two general game types in this module: learned games and deviation games. Learned games vary by the method, but generally expose methods for computing payoffs and may other features. Deviation games use learned games and different functions to compute deviation payoffs via various methods.
-
gameanalysis.learning.
neighbor
(game, num_neighbors=2)[source]¶ Create a neighbor game from a model
Parameters: - game (RsGame) – If this is a payoff model it will be used to take samples, if this is an existing deviation game, then this will use it’s underlying model.
- num_neighbors (int, optional) – The number of deviations to explore out.
-
gameanalysis.learning.
nngame_train
(game, epochs=100, layer_sizes=(32, 32), dropout=0.2, verbosity=0, optimizer='sgd', loss='mean_squared_error')[source]¶ Train a neural network regression model
This mostly exists as a proof of concept, individual testing should be done to make sure it is working sufficiently. This API will likely change to support more general architectures and training.
-
gameanalysis.learning.
point
(game)[source]¶ Create a point game from a model
Parameters: game (RsGame) – If this is a payoff model it will be used to take samples, if this is an existing deviation game, then this will use it’s underlying model.
-
gameanalysis.learning.
rbfgame_train
(game, num_restarts=3)[source]¶ Train a regression game with an RBF Gaussian process
This model is somewhat well tests and has a few added benefits over standard regression models due the nature of its functional form.
Parameters: - game (RsGame) – The game to learn. Must have at least one payoff per strategy.
- num_restarts (int, optional) – The number of random restarts to make with the optimizer. Higher numbers will give a better fit (in expectation), but will take longer.
-
gameanalysis.learning.
sample
(game, num_samples=100)[source]¶ Create a sample game from a model
Parameters: - game (RsGame) – If this is a payoff model it will be used to take samples, if this is an existing deviation game, then this will use it’s underlying model.
- num_samples (int, optional) – The number of samples to take.
-
gameanalysis.learning.
sklgame_train
(game, estimator)[source]¶ Create a regression game from an arbitrary sklearn estimator
Parameters: - game (RsGame) – The game to learn, must have at least one payoff per strategy.
- estimator (sklearn estimator) – An estimator that supports clone, fit, and predict via the stand scikit-learn estimator API.


HTML Cheat Sheet
HTML Introduction
HyperText Markup Language (HTML) is a simple markup system used to create hypertext documents that are portable from one platform to another. HTML documents are SGML documents with generic semantics that are appropriate for representing information from a wide range of applications.


Test Case for Mutation Breakpoints
Jan Odvarko<EMAIL_ADDRESS>This test is intended to verify Mutation Breakpoints support within the
HTML panel. This features allows to debug following mutation events:
- DOMAttrModified
- DOMCharacterDataModified
- DOMNodeInserted
- DOMNodeRemoved
- Open Firebug enable the Script panel and select the HTML panel.
- Click the Break On Mutate button.
- Click the buttons below step by step.
- The debugger must stop JS execution and show the source code line that caused
the change in the DOM.
The test should pass two ways:
- Make sure extensions.firebug.filterSystemURLs preference is set to true.
If not, set it and reload the page.
- Make sure extensions.firebug.filterSystemURLs preference is set to false.
If not, set it and reload the page.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/math/optimization/projection.hpp>
Public Member Functions | |
| Projection (const Array ¶meterValues, std::vector< bool > fixParameters=std::vector< bool >()) | |
| virtual Array | project (const Array ¶meters) const |
| returns the subset of free parameters corresponding More... | |
| virtual Array | include (const Array &projectedParameters) const |
| returns whole set of parameters corresponding to the set More... | |
| virtual | ~Projection ()=default |
Protected Member Functions | |
| void | mapFreeParameters (const Array ¶meterValues) const |
Protected Attributes | |
| Size | numberOfFreeParameters_ = 0 |
| const Array | fixedParameters_ |
| Array | actualParameters_ |
| std::vector< bool > | fixParameters_ |
Definition at line 33 of file projection.hpp.
| Projection | ( | const Array & | parameterValues, |
| std::vector< bool > | fixParameters = std::vector<bool>() |
||
| ) |
|
virtualdefault |
returns the subset of free parameters corresponding
Definition at line 54 of file projection.cpp.
returns whole set of parameters corresponding to the set
Definition at line 67 of file projection.cpp.
|
protected |
Definition at line 43 of file projection.cpp.
|
protected |
Definition at line 49 of file projection.hpp.
|
protected |
Definition at line 50 of file projection.hpp.
|
mutableprotected |
Definition at line 51 of file projection.hpp.
|
protected |
Definition at line 52 of file projection.hpp.


Prince Charles and Camilla visit Christchurch with Jacinda Ardern
by Ben McKayChristchurch: The royal visit of New Zealand resumes on Friday, when Charles and Camilla will join Prime Minister Jacinda Ardern for a day of outings in Christchurch.
The Prince of Wales and Duchess of Cornwall will focus on the city's rejuvenating efforts following recent disasters.
After a morning visit to a marae - or Maori meeting house - the trio will head to Cashmere High School, which lost three students in the March 15 mosque attacks, to meet with staff and pupils.
They will then attend a reception at Christ Church Cathedral, the striking city centre building almost damaged beyond repair in the 2011 earthquakes and since then has become Christchurch's beacon of regeneration.
Cantabrians will have the chance to meet their royal highnesses in a public walk around Cathedral Square, before the pair split for afternoon activities.
The Duchess will take in the newly-opened Riverside Market and a Salvation Army group, while the Prince gives an environmental address at Lincoln University.
Despite the tumult surrounding the royal family, which has intensified this week with Charles' brother Andrew taking an indefinite back seat from public life, the tour has taken place without drama or incident.
A far smaller group of New Zealanders have engaged with the royal visitors compared with trips by his sons Will and Harry, who brought wife Meghan, in the past 14 months.
AAP


I happen to use stored routines with MySQL. In fact, my open source project common_schema heavily utilizes them. DBA-wise, I think they provide with a lot of power (alas, the ANSI:SQL 2003 syntax feels more like COBOL than a sane programming language, which is why I use QueryScript instead).
However I wish to discuss the use of stored routines as integral part of your application code, which I discourage.
The common discussion on whether to user or not use stored routines typically revolves around data transfer (with stored routines you transfer less data since it's being processed on server side), security (with stored routines you can obfuscate/hide internal datasets, and provide with limited and expected API) and performance (with MySQL this is not what you would expect, as routines are interpreted & their queries re-evaluated, as opposed to other RDBMS you may be used to).
But I wish to discuss the use of stored routines from an engineering standpoint. The first couple of points I raise are cultural/behavioural.
2nd grade citizens
Your stored routines are not likely to integrate well with your IDE. While your Java/Scala/PHP/Ruby/whatnot code comfortably lies within your home directory, the stored routines live in their own space: a database container. They're not as visible to you as your standard code. Your IDE is unaware of their existence and is unlikely to have the necessary plugin/state of mind to be able to view these.
This leads to difficulty in maintaining the code. People typically resort to using some SQL-oriented GUI tool such as MySQL Workbench, SequelPro or other, commercial tools. But these tools, while make it easy to edit your routine code, do not integrate (well?) with your source control. I can't say I've used all GUI tools; but how many of them will have Git/SVN/Mercurial connectors? How many of them will keep local history changes once you edit a routine? I'm happy to get introduced to such a tool.
Even with such integration, you're split between two IDEs. And if you're the command line enthusiast, well, you can't just svn ci -m "fixed my stored procedure bug". Your code is simply not in your trunk directory.
It can be done. You could maintain the entire routine code from within your source tree, and hats off to all those who do it. Most will not. See later on about deployments for more on this.
Testing
While engineers are keen on writing unit tests for every class and method they create, they are less keen on doing the same for stored routines. This is an observation, having seen many instalments. And I can tell you why: your stored routine testing will not integrate well with your JUnit/PHPUnit/...
There are testing frameworks for databases, and indeed I hacked my own mini unit testing code with common_schema. But it's a different testing framework. You might also have realized by now that testing databases is somewhat different. It can be done, and hats off again to those that implement it as common practice. Many don't. Database are often more heavyweight to test. Not all operations done by routines are easily rolled back, which leads to having to rebuild the entire dataset before tests. This in itself leads to longer test periods and a need for multiple test databases so as to allow for concurrent builds.
How many companies practice both version control and unit testing over their routine code? I believe not many (and am happy to hear about those who do). To be more direct, of all the companies I ever consulted to: I have never seen one that does both.
Debugging
MySQL stored routines have built in debugging capabilities. To debug your routines, you will have to use one of two methods:
- Simulate your routine code (ie mimic their execution on top of some interpreter). There are tools to do that.  You can mimic what you think is how the routine should behave, but never they full behaviour. While developing common_schema I came upon plenty weird behaviour, some of it bugs, that you just can't build into your emulation.
- Inject debugging code into your routine code. I do that with RDebug. You can do breakpoints, step into, step out, most of the interesting stuff. Other tools do that as well. It is not the right way to go: you're essentially modifying your code, placing more locks, communicating, and losing some functionality.  How good can that be?
The right way to go would be to have debugging API built into the MySQL server.
But, wait, that would still be next to worthless, since our discussion is over programming with stored routines: letting your application call upon stored routines in your database. Until the day where I could use my IntelliJ debugger to step from my java method which calls upon a stored procedure, and into the stored procedure itself, debugging your code is completely detached from your stored routine debugging.
Refactoring & deploying
Say you wanted to add a column to your table: you would go ahead and add it, and perhaps populate it. You would then modify your application code to support this new column, and deploy. Say you wanted to drop a table column. You would first deploy changes to your application code that ignore said column, and once the code is in place you would go and actually make the DROP.
How do you do the same with a stored routine? Support your routine accepts two parameters, and you wish to add a third?
There is no support for optional parameters. Your routine either accepts two parameters or three. Your application code will have to provide the exact number of parameters. You will have to deploy both your SQL changes and your application changes at the same time. This is by definition impossible, unless you are OK with a stop the world approach, which is unlikely in production.
Code constraints
One solution to the above is to create a new routines. Somehow "overload" it. But you can't overload a stored routine; you'll have to create a routine by a new name. This will allow you to slowly and smoothly migrate between the two.
Ahem, smoothly? How easy is it to find all invocations of a certain routines from your code? It will be typically lie in some String, or within some XML config file. There is no safe "find references to this procedure" IDE mechanism. There is no constraint in your IDE that will tell you "there is no such procedure" if you misspell the name.
Trash bin
Suppose you overcame the above. You now have two routines. You need to remember to DROP the old one, right? Will you?
When presenting common_schema, a common question I ask the audience is as follows:
Suppose I accessed your database and listed the entire set of stored functions and procedures. How many of them are you not even sure are in use anymore? How many of them you think you can DROP, but are too afraid to, and keep them in just in case?
I wouldn't commonly ask that question had it not always provides a common nodding and smiling in the audience. People forget to drop their routines, and then forget about them, and are never sure whether they are used (your IDE doesn't easily tell you that, remember? Sure, you can grep around; that's not what most engineers would do).
Data or code?
Last but not least: a stored routine is a piece of code, right? Well, as far as the database is concerned, it's really a piece of data. It's located within a schema. It's stored. It is an integral part of your data set: when you back up your data, you're most likely to backup the code as well. When you restore, you're likely to restore both. There are obvious advantages to that, DB-wise. Or should I say, DBA-wise. Engineering-wise? Does a database-restore operation count as code deployment? We can argue over beer.
Final notes
Having said all that: yes, I'm using an occasional stored routine. I see these occasions as a necessary evil, and sometimes it's just the correct solution.
I'm happy to know what methods have been developed out there to overcome the above, please share; and please feel free to contradict the above.
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class: center, middle # A Crash Course in Python _People are still crazy about Python after twenty-five years, which I find hard to believe_ - Michael Palin
by Titipat Achakulvisut, reference from Data Science from Scratch by Joel Grus --- ## Overview
Python is considered an interpreted language (just as Matlab) --- ## Getting Python Download [Anaconda](https://www.continuum.io/downloads) distribution (with Python 3.5). You can also use Python 2.7. There are only minor syntax differences between 2.7 and 3.5. (Anaconda comes with `pip`, a Python package manager already). We are going to do hands-on coding in Jupyter notebook (previously called IPython notebook). Run the following in terminal to start Jupyter notebook at port 8888 (the new notebook will be in port 8889 etc. etc.). ```bash jupyter notebook ``` --- ### Python built-in data types here are some built-in data types in Python. We'll go more in details as example - **Strings**, `sample = "hello, world!"`, `sample = 'hello there'` - **Lists**, `[]` or `list()` is an empty list. `[1, 2, 3]`, `range(0, 10)`, `range(10)` - **Tuples**, `(1, 2)`, `enumerate([8, 6, 12])` - **Dictionaries**, `d = dict()`, `d = {}`, `grades = {'titipat': 99, 'konrad': 76}` - **Sets**, `s = set()`, `s.add(1)`, `set([1, 1, 2, 2, 3, 5])` - **Truthiness**, `x = None` >> `print(x == None)`, `print(x is None)`, `all()`, `any()` We can also cast types e.g. `str(1)`, `set([1, 1, 2, 2, 3])`. One more thing to note is that Python is zero indexed, everything starts with 0 not 1 like in Matlab. --- ## Whitespace Formatting Many languages use `{}` or `()`, Python uses indentation (4-spaces). ```python for i in [1, 2, 3 ,4 ,5]: print(i) for j in [1, 2, 3, 4, 5]: print(j) print(i + j) print(i) print("done looping") ``` --- ## Modules Certain features of Python are not loaded by default. - `import os` - `import re` - `import numpy as np` - `import pandas as pd` - `from collections import defaultdict, Counter` - `import matplotlib.pyplot as plt` After this type of `import`, you can access those functions by prefixing them with says `np.sum(...)`, `re.complie(...)` --- ## Functions In Python, we define function using `def`, ```python def square_plus(x): """Square the number and plus by one""" return x**2 + 1 y = square_plus(3) ``` We can also add default input in it. ```python def my_print(message="default message"): print(message) ``` --- ## Exceptions When something goes wrong, Python raises an _exception_. You can handle that using `try` and `except` ```python try: print 0 / 0 except: print "cannot divide by zero" ``` --- ## Randomness As a scientist or data scientist, we will frequently need to generate random number. We can do it using `random` module. ```python import random lottery_number = list(range(60)) random.sample(lottery_number, 6) # pick 6 numbers ``` ```python random.choice(['Alice', 'Bob', 'Charlie']) # randomly pick element from a list random.randrange(3, 6) # choose randomly from range(3,6) ``` --- ## Visualizing Data: matplotlib To _explore_ data and to _communicate_ data. We'll be using `matplotlib.pyplot` module ```python import matplotlib.pyplot as plt years = [1950, 1960, 1970, 1980, 1990, 2000, 2010] gdp = [300.2, 543.3, 1075.9, 2862.5, 5979.6, 10289.7, 14958.3] plt.plot(years, gdp, color='green', marker='o', linestyle='solid') plt.title("Nominal GDP") plt.xlabel("Year") plt.ylabel("Billions of $") plt.show() ```
--- ## bar chart ```python movies = ["Annie Hall", "Ben-Hur", "Casablanca", "Gandhi", "West Side Story"] num_oscars = [5, 11, 3, 8, 10] xs = [i + 0.1 for i, _ in enumerate(movies)] plt.bar(xs, num_oscars) plt.ylabel("# of Academy Awards") plt.title("My Favorite Movies") # label x-axis with movie names at bar centers plt.xticks([i + 0.5 for i, _ in enumerate(movies)], movies) plt.show() ```
--- ## bar chart for histogram ```python grades = [83,95,91,87,70,0,85,82,100,67,73,77,0] decile = lambda grade: grade // 10 * 10 histogram = Counter(decile(grade) for grade in grades) plt.bar([x - 4 for x in histogram.keys()], histogram.values(), 8) plt.axis([-5, 105, 0, 5]) plt.xticks([10 * i for i in range(11)]) plt.xlabel("Decile") plt.ylabel("# of Students") plt.title("Distribution of Exam 1 Grades") plt.show() ```
--- ## scatter plot ```python friends = [ 70, 65, 72, 63, 71, 64, 60, 64, 67] minutes = [175, 170, 205, 120, 220, 130, 105, 145, 190] labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'] plt.scatter(friends, minutes) for label, friend_count, minute_count in zip(labels, friends, minutes): plt.annotate(label, xy=(friend_count, minute_count), # put the label with its point xytext=(5, -5), # but slightly offset textcoords='offset points') plt.title("Daily Minutes vs. Number of Friends") ```
--- ## Statistics using list try to implement easy statistic ```python def mean(x): return sum(x) / len(x) ``` ```python def median(v): n = len(v) sorted_v = sorted(v) midpoint = n // 2 if n % 2 == 1: return sorted_v[midpoint] else: return (sorted_v[midpoint - 1] + sorted_v[midpoint]) / 2 ``` --- ## Statistics using list (cont.) ```python def quantile(x, p): p_index = int(p * len(x)) # e.g. 0.10, 0.25 return sorted(x)[p_index] ``` ```python def mode(x): counts = Counter(x) max_count = max(counts.values()) return [x_i for x_i, count in counts.iteritems() if count == max_count] ``` --- ## numpy `numpy` is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays. (ref: [cs231n](http://cs231n.github.io/python-numpy-tutorial/)). You should go through [numpy for Matlab users](http://scipy.github.io/old-wiki/pages/NumPy_for_Matlab_Users) in order to ```python import numpy as np a = np.array([1, 2, 3]) # Create a rank 1 array print(type(a)) # Prints "
" print(a.shape) # Prints "(3,)" print(a[0], a[1], a[2]) # Prints "1 2 3" a[0] = 5 # Change an element of the array print(a) # Prints "[5, 2, 3]" b = np.array([[1,2,3],[4,5,6]]) # Create a rank 2 array print(b.shape) # Prints "(2, 3)" print b[0, 0], b[0, 1], b[1, 0] # Prints "1 2 4" ``` --- ## numpy ```python import numpy as np a = np.zeros((2,2)) # Create an array of all zeros print a # Prints "[[ 0. 0.] # [ 0. 0.]]" b = np.ones((1,2)) # Create an array of all ones print(b) # Prints "[[ 1. 1.]]" c = np.full((2,2), 7) # Create a constant array print(c) # Prints "[[ 7. 7.] # [ 7. 7.]]" d = np.eye(2) # Create a 2x2 identity matrix print(d) # Prints "[[ 1. 0.] # [ 0. 1.]]" e = np.random.random((2,2)) # Create an array filled with random values print(e) ``` --- ## numpy ```python x = np.array([1, 2]) # Let numpy choose the datatype print(x.dtype) # Prints "int64" x = np.array([1.0, 2.0]) # Let numpy choose the datatype print(x.dtype) # Prints "float64" x = np.array([1, 2], dtype=np.int64) # Force a particular datatype print(x.dtype) # Prints "int64" ``` ```python x = np.array([[1,2],[3,4]], dtype=np.float64) y = np.array([[5,6],[7,8]], dtype=np.float64) ``` ```python x + y np.add(x, y) x - y np.subtract(x, y) x * y np.multiply(x, y) x / y np.divide(x, y) np.sqrt(x) ``` --- ## numpy ```python x = np.array([[1,2],[3,4]]) y = np.array([[5,6],[7,8]]) v = np.array([9,10]) w = np.array([11, 12]) ``` ```python v.dot(w) # vector product np.dot(v, w) x.dot(v) # matrix product np.dot(x, v) ``` ```python x = np.array([[1,2],[3,4]]) print np.sum(x) # Compute sum of all elements; prints "10" print np.sum(x, axis=0) # Compute sum of each column; prints "[4 6]" print np.sum(x, axis=1) # Compute sum of each row; prints "[3 7]" ``` --- ## numpy transpose matrix and vector ```python x = np.array([[1,2], [3,4]]) print(x) print(x.T) ``` but transpose 1-d array will give 1-d array still. ```python v = np.array([1,2,3]) print(v.T) v = np.atleast_2d(v).T # do something like this instead ``` This is `repmat` in Python ```python np.tile(v, (4, 1)) ``` --- ## numpy Broadcasting is a powerful mechanism that allows numpy to work with arrays of different shapes when performing arithmetic operations. ```python import numpy as np # We will add the vector v to each row of the matrix x, # storing the result in the matrix y x = np.array([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12]]) v = np.array([1, 0, 1]) y = x + v # Add v to each row of x using broadcasting ``` --- ## numpy ```python from numpy import linalg linalg.norm([1, 1, 1]) linalg.inv(A) # inverse of square matrix A linalg.pinv(A) # pseudo-inverse of matrix A linalg.solve(A, b) # if a is square, this is solution of A * x = b for x linalg.lstsq(A, b) # otherwise D, V = linalg.eig(A) # eigenvalues and eigenvectors of A U, S, Vh = linalg.svd(A), V = Vh.T # equivalent to [U,S,V] = svd(A) ```


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I would like to take this opportunity to provide you with a brief update about the James Hunter Family ALS Initiative, which has been so generously supported by family, friends and colleagues over the years.
View this in a browser
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Dear ##OptionalParameter1##,
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I would like to take this opportunity to thank you for your generous support of the James Hunter Family ALS Initiative and to provide a brief update on the impact of your donation over the past year.
We have faced challenging times this year with the COVID-19 pandemic, but ALS does not stop and neither does the research. ALS is a terrible disease. It starts innocuously, perhaps as a mild weakness in the hand or the foot, or slurring of speech, but then rapidly progresses to complete body paralysis. For some this can be as short as 6 months, with death ensuing because they can no longer breathe. It is devastating.
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At the moment, there is no cure or effective treatment, but there is progress and there is hope. Dr. Janice Robertson, the James Hunter Family Chair in ALS Research at the University of Toronto, continues to make significant strides toward developing a therapy for ALS. Working with medicinal chemists, computational biologists, medical biophysicists and molecular cell biologists, I am excited to share that Dr. Robertson and her team have identified several lead compounds that are currently undergoing pre-clinical therapeutic testing. She and the team also continue to work on understanding the complexity of the human brain, using innovative sequencing technologies to identify the cell-type specific gene changes occurring in the nervous system of individuals with ALS. This work is aided by close collaborations with researchers across Europe and will help in the understanding of the underlying mechanisms that cause ALS.
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From all of this, Dr. Robertson has created a strong international reputation for her team, which is further strengthened in her work leading, convening, and presenting at a number of global research forums. For example, Dr. Robertson is a member of the organizing committee for the 31st International Symposium on ALS/MND (Motor Neurone Disease), which in December will virtually bring together leading researchers from across the globe to share research findings. Alongside this symposium, there will be an International Alliance of ALS/MND Associations meeting, and Dr. Robertson will be one of only four presenters, and the only Canadian.
In speaking with Dr. Robertson recently, she shared that “during these difficult COVID days, I am reminded of Jim. His tenacity, his courage, his desire to find a cure for ALS. I am inspired by his memory, and the immense honour to hold the James Hunter Family Chair in ALS Research.”
In speaking with Dr. Robertson recently, she shared that “during these difficult COVID days, I am reminded of Jim. His tenacity, his courage, his desire to find a cure for ALS. I am inspired by his memory, and the immense honour to hold the James Hunter Family Chair in ALS Research.”
And I could not agree more. As you plan your philanthropic activities for the end of 2020, I encourage you to please consider supporting the James Hunter Family ALS Initiative. You can make a donation online or by contacting Katie Rock at<EMAIL_ADDRESS>or<PHONE_NUMBER>.
Sincerely,
Heather
Heather Hunter
Chair, James Hunter Family ALS Initiative Advisory Committee
Temerty Faculty of Medicine, University of Toronto
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Faculty of Medicine Advancement Office 6 Queen's Park Crescent West / Toronto, ON Canada M5S 3H2
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ID ##OptionalParameter3## ##TrackImpression##
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Create Screenshot
checkbox gives you an ability
to create screen shots of generated components. Images are stored in the
same directory with the same name as generated component and with
extension .png
.
Show Component Editor
checkbox enables/disables Component Editor appearing during process of
generation. It allows on-line editing of grabbed structure before
generated sources are finalized.
Merge Conflicts
checkbox shows Merge Window in
case of conflict with already present component source. Than you can
control process of merging source differences.
Filenames of newly generated sources are numbered to avoid conflicts
when Merge Conflicts checkbox is disabled.
Use Component Name
checkbox enables that names
of components are used to their identification
Start/Stop Component Generator
button
starts/stops thread waiting for some component to be focused and
CTRL-F12 key to be pressed.
This button is enabled only when some package with write access is
selected.
Component Generator is automatically stopped when its dialog is closed.
When generator is started and you see information message above Stop
button you can invoke and select the component to be grabbed.
Selected components are highlighted by red border. Process of
generation can be started only by pressing CTRL-F12 key. Component
Editor dialog or Merger is displayed then in dependency of previous
selection.
Do not access selected component till "Please wait,
processing...
" message is displayed !
Any sub-component node can be deleted from tree by pushing Delete key or by selecting Delete from its popup menu.
Sub-component properties:
interanlLabels
property is list of text labels
found inside sub-component.
These labels are used to generate public static final String
fields for some operators (JList, JComboBox...).
shortName
property is used mostly for low level
method naming in generated source.
uniqueName
property is used for unique
sub-component identification, for inner fields and sub-component getters
naming in generated source.
Root nodes uniqueName represents its class and file name without
extension.
Note: uniqueName property is changed in dependency of shortName property to simplify modifications.


The Personal Stylist website was created to help people that want a personalized capsule wardrobe and don't know where to start! The objective of this project was to practice Haskell by building an API as well as practicing React, Hooks, and Typescript in the Frontend. Another personal goal achieved with his project is working with UI styling and functional CSS, in this case, Tachyons.
This is a recipe management and meal planner app, with daily nutritional analysis and recommendations. Backend development with Ruby on Rails and front-end with JavaScript, React, Postgres. We set up the project as two servers communicating through API queries utilizing Webpack. In the front-end, we choose to work with flex-box and styled it ourselves with CSS.
I worked independently on improving the legacy code of the Jungle App website, which was created to be a mini e-commerce application built with Rails. I added functionality to the back and front-end development with Ruby on Rails, PostgreSQL, and Bootstrap.
I worked independently on the Chatty App, which was created to be a client-side SPA chat application. I implemented backend development with Node, JavaScript and React and front-end development with HTML and CSS.
I collaborated in a team of 3 developers on the Smart To Do website, which was created to be a smart, auto-categorizing to do list app. My roles included both backend and front-end development with JavaScript, Express, Knex, Ajax, and JQuery.
I worked independently on the Tweeter website which was created to be a simple, single-page Twitter clone. I constructed the full-stack with JavaScript, Express, Ajax, and JQuery.
Check out what am I working on: GitHub
Learn more about me here
Learn more about me here
Learn more about me here


Maestro Reorin:
I understand it's a difficult task, but please bring me the
Demon Dagger
.
Remember, augmented weapons or standard weapons cannot be used.
Don't forget!


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You can improve query performance on data that is partitioned by key or a field value by creating a key index and then executing the query using the FunctionService
with the key or field value used as filter.
The following is an example how to optimize a query that will be run on data partitioned by region key value. In the following example, data is partitioned by the “orderId” field.
- Create a key index on the orderId field. See Creating Key Indexes for more details.
Execute the query using the function service with orderId provided as the filter to the function context. For example:
/** * Execute MyFunction for query on data partitioned by orderId key * */ public class TestFunctionQuery { public static void main(String[] args) { Set filter = new HashSet(); ResultCollector rcollector = null; //Filter data based on orderId = '12345' filter.add(12345); //Query to get all orders that match ID 12345 and amount > 1000 String qStr = "SELECT * FROM /Orders WHERE orderId = '12345' AND amount > 1000"; try { Function func = new MyFunction("testFunction"); Region region = CacheFactory.getAnyInstance().getRegion("myPartitionRegion"); //Function will be routed to one node containing the bucket //for ID=1 and query will execute on that bucket. rcollector = FunctionService .onRegion(region) .setArguments(qStr) .withFilter(filter) .execute(func); Object result = rcollector.getResult(); //Results from one or multiple nodes. ArrayList resultList = (ArrayList)result; List queryResults = new ArrayList(); if (resultList.size()!=0) { for (Object obj: resultList) { if (obj != null) { queryResults.addAll((ArrayList)obj); } } } printResults(queryResults); } catch (FunctionException ex) { getLogger().info(ex); } } }


How bad can boiled leaves possibly taste? So bad you’d want to chuck everything you’d just bought into the trash…
I made a spliff out of dried leaves and flowers first. I would register this as “no effect”, although I felt slightly light-headed afterward. I attribute this to the fact that I am a non-smoker, and inhaling anything rather than pure air would do the same.
That night I made tea, measuring about 3 large tablespoons to a liter of water, for my wife and I. I put a ton of honey in it, but it was still God-awful--unbearably bitter and nasty tasting. I normally dream quite a bit, and so does my wife; that night was normal, a few dreams, nothing especially intense. We were disappointed; I thought perhaps what I received was old product, or I hadn’t made the tea strong enough.
Two nights later I crushed and chopped a large handful of leaves and flowers as finely as I could, and stuffed it into capsules. I ate two before going to bed; my wife declined. During my very first dream (that I remember, anyway), I suddenly realized I was dreaming. I thought “lucid dream!” and tried some tricks to stay there, like looking at my hands and feet. I was too excited though, and woke up. However, my wife looked strange in bed next to me, and both our children were in the bed as well, crying. I was still dreaming. Finally, I woke up for real.
I got out of bed and expected to feel strange, like I was high or hallucinating still from the plant. However, I felt completely normal. I find it amazing that this plant could only be psychoactive when dreaming, but that was the effect with me. When I went back to sleep, I continued to have intense dreams, but none were lucid. The next morning I awoke feeling normal, no residual physical or mental effects.
I will certainly try the capsules again, but am not sure if it’s necessary to wait a length of time, or if repeated use has reduced effects, or can be harmful to my mental or physical health in some way. Instinctively, I tend to doubt it. All in all it was pretty amazing, since I've had lucid dreams only once or twice before in my life.
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.


Enjoy a lovely meal with amazing views of the Ocean with the city as Nanaimo as a backdrop. Take a stroll through beautiful Protection island and see everything the quaint island has to offer!
Enjoy awesome food seated outside or inside. A wide variety of drinks will quench any thirst! Make sure to visit Protection Island, where you will find pristine beaches and wonderful paths to explore. Our line up of local live music will keep the party going.


ABOUT OUR HOSTEL
Facilities in Boy's Hostel
(1) One reading room in each boys’ and girls’ hostel with newspapers and magazines.
(2) Shift canteen in Girls hostel.
(3) One common room in girls’ hostel and two common rooms in boys’ hostel with LED TVs.
(4) Table Tennis room in boys’ hostel.
(5) Wifi facility available in all hostels.
(6) All hostels have independent warden for proper administration and discipline.
(7) Water coolers fitted with RO are provided.
(8) All hostels are under the surveillance of CCTV cameras and security guards.
(9) Separate officers’ mess for staff and guests of staff & students.
(10) The hostels are provided with carom board, chessboard, and skipping rope for recreation & entertainment of the residents within hostel premises.
(11) Guest room in girls’ hostel for female relatives of students.
Facilities in girl Hostel
(1)Reading room, common room, Guest room, Waiting lounge, gymnasium
2) Badminton court and basket ball ground along with open spaces attached to each wing
3) Shift canteen and tuc shop
4) Induction cooktops, gysers,RO water purifiers,CCTV cameras.
5) Wi-Fi
6) Sports and Recreation facility
7) First Aid and Ambulance
6) Separate wardens for each wing,lady guards,resident attendant


Hash Library
The hash library can be used to compute hash values and HMACs. The following algorithms are supported:
- MD4
- MD5
- SHA1
- SHA224
- SHA256
- SHA384
- SHA512
File information
Classes
hash
class hash {
ulong64 context[27];
hash_t type;
public:
hash();
void init(hash_t type);
void update(const void * in, size_t len);
void final(void * out);
void copy(class hash * from);
size_t size();
};
Overview
The hash class defines a uniform interface for calculating hashes using different algorithms.
Hash functions process an arbitrary number of bytes, possibly devided into chunks, and produce a fixed number of output bytes. The output is called a "hash" or "digest".
The same input data always produces the same digest. So hashes can be used for integrity protection of messages.
Cryptographically strong hash functions like SHA256 make it very hard (aka impossible) to gain any information about the input from the produced digest.
So they are often used for digital signatures and login protocols.
Public functions
init
Initializes the internal state of the object and sets the algorithm to be used.
Parameters
| hash_t type |
The hash algorithm to be used.
|
Remarks
The init function has to be called before using any other functions of the object.
update
Processes a chunk of input data.
Parameters
| const void * in |
The input buffer.
|
| size_t len |
The number of bytes to be processed.
|
Remarks
This function can be called mupltiple times.
final
Calculates the hash and copies the value to the given out buffer.
Parameters
| void * out |
The output buffer to write the hash value in binary form.
The buffer size must match the hash size defined by the algorithm.
|
Remarks
The size function can be used to determine the needed output buffer size.
copy
Copies the internal state from the given other hash.
Parameters
| class hash * from |
A pointer to another hash object that shall be duplicated.
|
size
Return value
| size_t |
The size of the hash value for the current algorithm. This is the number of bytes that is written by function final to the out buffer.
|
Data types
Defines / Statics
| HASH_SIZE_MD4 | MD4 hashes use 16 bytes |
| HASH_SIZE_MD5 | MD5 hashes use 16 bytes |
| HASH_SIZE_SHA1 | SHA1 hashes use 20 bytes |
| HASH_SIZE_SHA224 | SHA224 hashes use 28 bytes |
| HASH_SIZE_SHA256 | SHA256 hashes use 32 bytes |
| HASH_SIZE_SHA384 | SHA384 hashes use 48 bytes |
| HASH_SIZE_SHA512 | SHA512 hashes use 64 bytes |
| HASH_SIZE_MAX | The maximum hash size produced by the library. |
hash_t
enum hash_t {
HASH_UNDEFINED,
HASH_MD4,
HASH_MD5,
HASH_SHA1,
HASH_SHA224,
HASH_SHA256,
HASH_SHA384,
HASH_SHA512
};
Overview
The hash_t enum defines all hash algorithms supported by the library.
Values
| HASH_UNDEFINED | Used internally to identify uninitialized objects. |
| HASH_MD4 | Considered as cryptographically weak. |
| HASH_MD5 | Considered as cryptographically weak. |
| HASH_SHA1 | Considered as cryptographically weak. |
| HASH_SHA224 | |
| HASH_SHA256 | |
| HASH_SHA384 | |
| HASH_SHA512 | |
Remarks
The old algorithms MD4, MD5 and SHA1 are insecure. They should not be used for new projects.
Please use the algorithms of the SHA2 family (SHA224, SHA256, SHA384 or SHA512).
Code Example
Calculating a SHA256 hash
hash h;
byte out[32];
h.init(HASH_SHA256);
h.update(data1, 16);
h.update(data2, 5);
h.final(out);
Calculating HMAC-SHA1
hmac h;
byte out[HASH_SIZE_SHA1];
h.init(HASH_SHA1, key, key_len);
h.update(data1, 16);
h.update(data2, 5);
h.final(out);


Eye gouging and stomping - La Rochelle's dirty tactics a throwback to rugby's amateur days
by Online EditorsLa Rochelle spent the majority of their Champions Cup match against Sale with 14-men after hooker Pierre Bourgarit was red-carded on the stroke of halftime for eye-gouging.
The hooker was spotted grabbing at England flanker Tom Curry’s eyes during a scuffle between the two sides. The TMO reviewed the incident and deemed a red card necessary for the offence.
The visitors were down to 13-men for a further 20-minutes as they were hit with two more yellow cards that could have been more as the French club lost control of their discipline in a wild encounter at AJ Bell Stadium.
With five minutes remaining, centre Geoffrey Doumayrou was seen stomping on an opposition arm at a ruck, pushing his boot into the wrist of a player competing for the ball.
Doumayrou was called over by the refeeree for a talking to after the incident was reviewed by the TMO but no further cards were issued for the act. The French centre was visibly upset at even the penalty, arguing with the referee over the decision.
La Rochelle’s horrific discipline played an influential part in the match, losing the penalty count by 17-8. They were also outgunned in turnovers, with a Curry-powered Sale winning the turnover battle 10-1.
It was surprising that Sale did not finish with more points given the advantages that La Rochelle gave them, however, the home side missed a couple of penalties and had a length of the field try rubbed out for a forward pass.
The result effectively puts La Rochelle out of contention following a 31-12 home defeat by Exeter but sets up the Sharks for their home tie against the unbeaten Chiefs in a fortnight’s time.
The Season with Hamilton Boys High School 1st XV – Episode 3:


A unit or quantity can be decomposed into its irreducible parts using the Unit.decompose or Quantity.decompose methods:
>>> from astropy import units as u
>>> u.Ry
Unit("Ry")
>>> u.Ry.decompose()
Unit("2.17987e-18 kg m2 / s2")
You can limit the selection of units that you want to decompose to using the bases keyword argument:
>>> u.Ry.decompose(bases=[u.m, u.N])
Unit("2.17987e-18 m N")
This is also useful to decompose to a particular system. For example, to decompose the Rydberg unit in terms of CGS units:
>>> u.Ry.decompose(bases=u.cgs.bases)
Unit("2.17987e-11 cm2 g / s2")
Conversely, a unit may be recomposed back into more complex units using the compose method. Since there may be multiple equally good results, a list is always returned:
>>> x = u.Ry.decompose()
>>> x.compose()
[Unit("Ry"),
Unit("2.17987e-18 J"),
Unit("2.17987e-11 erg"),
Unit("13.6057 eV")]
Some other interesting examples:
>>> (u.s ** -1).compose()
[Unit("Bq"), Unit("Hz"), Unit("3.7e+10 Ci")]
Composition can be combined with Equivalencies:
>>> (u.s ** -1).compose(equivalencies=u.spectral())
[Unit("m"),
Unit("Hz"),
Unit("J"),
Unit("Bq"),
Unit("3.24078e-17 pc"),
Unit("1.057e-16 lyr"),
Unit("6.68459e-12 AU"),
Unit("1.4378e-09 solRad"),
Unit("0.01 k"),
Unit("100 cm"),
Unit("1e+06 micron"),
Unit("1e+07 erg"),
Unit("1e+10 Angstrom"),
Unit("3.7e+10 Ci"),
Unit("4.58743e+17 Ry"),
Unit("6.24151e+18 eV")]
Obviously a name doesn’t exist for every arbitrary derived unit imaginable. In that case, the system will do its best to reduce the unit to the fewest possible symbols:
>>> (u.cd * u.sr * u.V * u.s).compose()
[Unit("lm Wb")]
Built on top of this functionality is a convenience method to convert between unit systems.
>>> u.Pa.to_system(u.cgs)
[Unit("10 P / s"), Unit("10 Ba")]
There is also a shorthand for this which only returns the first of many possible matches:
>>> u.Pa.cgs
Unit("10 P / s")
This is equivalent to decomposing into the new system and then composing into the most complex units possible, though to_system adds some extra logic to return the results sorted in the most useful order:
>>> u.Pa.decompose(bases=u.cgs.bases)
Unit("10 g / (cm s2)")
>>> _.compose(units=u.cgs)
[Unit("10 Ba"), Unit("10 P / s")]


Please select the type of application you are submitting:
Your application must include a business plan that describes your proposed operations including:
The Office of the Fire Commissioner (OFC) requires that a distillery owner/applicant construct and maintain their distillery in conformance with the BC Fire Code requirements for fire prevention/protection. A copy of the Approval in Principal letter will be provided to OFC.
Upload your business plan:
Onsite production means fermenting and at least one of the following winemaking steps: blending, crushing, filtering, aging for at least 3 months, secondary fermentation or carbonation, and packaging.
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--- title: 'An example data set' author: '' date: '2021-10-13' slug: [] categories: [] tags: [] weight: 5 bibliography: references.bib ---
We will use a small subset of a publicly available dataset for demonstration purposes. The data are the results of an experiment in which participants made decisions and with and without time pressure (Kocher et al. 2018). In the Web Appendix to the article the authors explore the possibility of gender effects for several variables. We will focus on how many seconds participants took to make decisions, with and without time pressure.
The original data are available here


Valens er latin og betyr "frisk", "sterk" og "villig". Dette systemet er ment til å motivere deg til å bli akkurat dette. Ved å analysere ditt bevegelsesmønster og hvor mye du beveger deg vil dette systemet tidlig oppdage helserisiko tilkyttet for lite eller feil bevegelse.
Content Provider is the app that contains all the data. It sends and receives data on demand to all the other apps and you are free to use this data for your own apps.
Demo is an demonstration app to show what you can achieve by using the data from the Content Provider. This app depends on the Content Provider to be installed first.
Step Detector is the app that registers steps and works as an advanced pedometer. This app runs in the background and the only thing you can do with it is to start, stop and calibrate it. You need to calibrate it before use. This app depends on the Content Provider to be installed first


Returns some or all (up to 1000) of the objects in a bucket. You can use the request parameters as selection criteria to return a subset of the objects in a bucket. Note: list-objects-v2 is the revised List Objects API and we recommend you use this revised API for new application development.
See also: AWS API Documentation
list-objects-v2 is a paginated operation. Multiple API calls may be issued in order to retrieve the entire data set of results. You can disable pagination by providing the --no-paginate argument. When using --output text and the --query argument on a paginated response, the --query argument must extract data from the results of the following query expressions: Contents, CommonPrefixes
list-objects-v2
--bucket <value>
[--delimiter <value>]
[--encoding-type <value>]
[--prefix <value>]
[--fetch-owner | --no-fetch-owner]
[--start-after <value>]
[--request-payer <value>]
[--cli-input-json <value>]
[--starting-token <value>]
[--page-size <value>]
[--max-items <value>]
[--generate-cli-skeleton <value>]
--bucket (string) Name of the bucket to list.
--delimiter (string) A delimiter is a character you use to group keys.
--encoding-type (string) Encoding type used by Amazon S3 to encode object keys in the response.
Possible values:
- url
--prefix (string) Limits the response to keys that begin with the specified prefix.
--fetch-owner | --no-fetch-owner (boolean) The owner field is not present in listV2 by default, if you want to return owner field with each key in the result then set the fetch owner field to true
--start-after (string) start-after is where you want Amazon S3 to start listing from. Amazon S3 starts listing after this specified key. start-after can be any key in the bucket
--request-payer (string) Confirms that the requester knows that she or he will be charged for the list objects request in V2 style. Bucket owners need not specify this parameter in their requests.
Possible values:
- requester
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
A token to specify where to start paginating. This is the NextToken from a previously truncated response.
The size of each page.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination. This NextToken response element should not be used directly outside of the AWS CLI.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
IsTruncated -> (boolean)
A flag that indicates whether or not Amazon S3 returned all of the results that satisfied the search criteria.
Contents -> (list)
Metadata about each object returned.
(structure)
Key -> (string)
LastModified -> (timestamp)
ETag -> (string)
Size -> (integer)
StorageClass -> (string)
The class of storage used to store the object.Owner -> (structure)
DisplayName -> (string)
ID -> (string)
Name -> (string)
Name of the bucket to list.
Prefix -> (string)
Limits the response to keys that begin with the specified prefix.
Delimiter -> (string)
A delimiter is a character you use to group keys.
MaxKeys -> (integer)
Sets the maximum number of keys returned in the response. The response might contain fewer keys but will never contain more.
CommonPrefixes -> (list)
CommonPrefixes contains all (if there are any) keys between prefix and the next occurrence of the string specified by delimiter
(structure)
Prefix -> (string)
EncodingType -> (string)
Encoding type used by Amazon S3 to encode object keys in the response.
KeyCount -> (integer)
KeyCount is the number of keys returned with this request. KeyCount will always be less than equals to max-keys field. Say you ask for 50 keys, your result will include less than equals 50 keys
ContinuationToken -> (string)
ContinuationToken indicates Amazon S3 that the list is being continued on this bucket with a token. ContinuationToken is obfuscated and is not a real key
NextContinuationToken -> (string)
NextContinuationToken is sent when isTruncated is true which means there are more keys in the bucket that can be listed. The next list requests to Amazon S3 can be continued with this NextContinuationToken. NextContinuationToken is obfuscated and is not a real key
StartAfter -> (string)
start-after is where you want Amazon S3 to start listing from. Amazon S3 starts listing after this specified key. start-after can be any key in the bucket


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Nitobi.KeyColumn Class Reference
Specifies the row's key value and its mapping into the data source. This column is never displayed in the control, and is used to generate the compressed XML's xk attribute. See the
XmlDataHandler class documentation for more details about the format of the
Nitobi compressed XML.
More...
List of all members.
Detailed Description
Specifies the row's key value and its mapping into the data source. This column is never displayed in the control, and is used to generate the compressed XML's xk attribute. See the
XmlDataHandler class documentation for more details about the format of the
Nitobi compressed XML.
Constructor & Destructor Documentation
| static Nitobi.KeyColumn.KeyColumn |
( |
|
) |
[static, private] |
Property Documentation
internal override bool Nitobi.KeyColumn.IsClientColumn [get, protected] |
internal override bool Nitobi.KeyColumn.ContributesToData [get, protected] |
The documentation for this class was generated from the following file:


The CMSIS-RTOS API is a generic RTOS interface for Cortex-M processor-based devices. CMSIS-RTOS provides a standardized API for software components and gives therefore serious benefits to the users and the software industry.
Please refer [1] for details.
CMSIS-RTOS API app provides GUI base configuration for CMSIS-RTOS API Library provided by ARM. The CMSIS-RTOS implementation of this RTOS001 App is based on ARM RTX and is developed by ARM and is published under the popular open-source BSD license and is available for download from http://www.keil.com/demo/eval/rtx.htm. The official documentation of the used CMSIS RTX version can be downloaded separately from http://media.infineon.com/DAVE_3/CMSIS_RTX/CMSIS_RTX_Doc.zip
Scope of this App is to provide an RTOS implementation (source code) using the CMSIS-RTOS APIs and Configuration for CMSIS-RTOS API layer.
cmsis documentation can be downloaded from :
[1] http://www.onarm.com/Cmsis/
[2] To view updated version of the CMSIS RTOS API documentation Click here
[1] This port of RTX does not start main as a thread.
[2] Starting the Kernel shall be triggered from user code by explicitly calling the 'osKernelStart()' API.


Extends
- EventEmitter
Classes
Members
(static) EVENT_DELAY_MESSAGE_SEND_FINISHED
The event to notify that a batch of messages have been sent finished.
- Source:
(static) EVENT_SEND_ERROR
The event emitted when an error occurs after sending data to kafka.
- Source:
Methods
addData(taskData, options, callbackopt) → {Boolean}
Send data to kafka, it will send the data to kafka every `delayInterval` ms when `delayInterval` is set. It will wait the client i
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
taskData |
Object | |||
options |
SendOption | |||
callback |
function |
<optional> |
function(err) {} |
- Source:
Returns:
Whether the taskData is valid.
- Type
- Boolean


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