I am a software professional based in Edinburgh with a technical background, good business awareness and strong leadership skills.
Fanbase means any sports team can have their own app. We provide a SaaS solution allowing clubs to have their own mobile app within minutes without any upfront costs.
We are developing a complete fan engagement platform including contactless digital ticketing, configurable memberships, club newsfeed and much more.
You can find our more about us here or you can find us on your preferred app store. Get in touch if you're interested in working with us or joining the team.
Dufrain is a market-leading data management and analytics consultancy that provide services covering data management, data engineering, business intelligence and analytics
Often there is a crossover between those services but my specialism was Data Engineering in Azure, helping clients build robust processes around their data to allow them to get the maximum benefit from it using serverless technologies.
I provided technical leadership and ownership of our solutions working directly with key stakeholders.
Optima provide scalable, data-driven, enterprise marketing solutions to a number of blue chip clients. I worked as part of the technical team, primarily as a data engineer, advising on and implementing solutions.
Day-to-day, the technologies I worked with included Azure, SQL Server (including SSIS and SSRS) and C# and the applications that I worked on were typically data warehouses, ETL processes, API integrations and reporting dashboards. Everything at Optima is fundamentally about moving data between systems in a reliable way, so the mindset is to build robust solutions that last.
As part of my role, I often worked in a technical account management capacity, collaborating directly with our clients as well as across our own teams. I also mentored junior members of the team, supporting our focus on graduate development.
I was part of the team at a residential summer school for international students aged 10-16. I worked as an English teacher and house parent in an always-on role that required excellent communication, flexibility and collaboration.
I worked on-site at businesses around Barcelona as an in-company English Teacher. As my company was based in Madrid, this required a high degree of independence as I was the only face who came into contact with our customers. Good planning and presentation skills were essential for this role as well as a decent grasp of English!
Summer placement in an auditing role for a pension administrator. Putting my maths skills to use in my first taste of office life.
I love exploring at home and abroad. I moved to Barcelona for a year after graduating, where I earned a TEFL qualification, to set myself a new challenge and have explored a lot of Spain - I recommend visiting Granada if you ever have the chance. Now I’m settled in Edinburgh, I look forward to weekends away all over Scotland, enjoying its stunning serenity. I'm happiest when I'm near a loch, a log fire and a dram.
I enjoy attending live music, comedy and theatre events. It was a Fringe ticket that first brought me to Edinburgh. In festival season, I run a micro-reviewing website (which you can read about below) and try to attend as many shows as possible.
I am keen on all sports but most of my time and attention is saved for cricket. I was a member of Port Sunlight Cricket Club for eleven years before moving to Edinburgh and have been a member of Murrayfield DAFS Cricket Club since 2013, being elected as a club captain in 2017.
One of the best things about working for a small company is that the little things you do can make a big difference. But, in any business, the company culture is what you choose to make it. Here's some of the things I've done that make my colleagues lives a little brighter.
In the run-up to Christmas 2018, I put together a month-long event, in which everyone in the office was assigned a target, a weapon and a location. Players simply had to convince their target to hold the murder weapon (typically mundane office supplies) in the specified location, at which point their victim is eliminated from the game and the assassin inherits their mission. The game continues until there is one survivor. Some people are still suspicious when asked to pass the sticky tape!
Starting with the World Cup 2014, I ran a twist on the office sweepstake by awarding prize hampers rather than cash and ensuring everyone was in the running even if you didn't draw a top team. For the 2018 World Cup, we doubled the prize fund, everyone was given their corresponding team flag to display and the prize categories included the first red card, the first team knocked out on penalties and the best snack brought in from sweepstake country.
Along with my infuriatingly amazingly ambitious colleague, I devised a digital treasure hunt around the Haymarket area of Edinburgh, as a team building activity. We planted QR codes in various locations in and around our office which could be scanned to reveal a letter and a clue to another QR code. The teams aimed to find the most QR codes or be the first to solve the anagram from the letters.
We usually run an office bake-off to coincide with the GBBO which becomes increasingly ambitious with each passing week. I love cooking but that passion does not extend to baking. My entries include mini baked Alaskas, a profiterole stack and a raspberry jewel box cake.
For a lunchtime team building exercise, I got everyone together and gave each person a partner, an egg and a set of seemingly useless set of materials. After 40 minutes of planning and development, the eggs were dropped from the top floor of the office with the team whose egg survived the fall being crowned the winners. Some parachutes were more successful than others.
 We invented our own game which is somewhere between Killer Pool and Uno, now established as an office institution. In a competitive office, statistics are meticulously recorded and analysed and there is even an app in development as well as an annual highlights movie.
I co-run a micro-review website which publishes 9 word reviews during the Edinburgh Fringe. The idea is to distil a full review into a twitter-friendly, poetic headline. In such a competitive environment, this and the star rating are often the only parts of a review which people pay attention to.
I am a club captain and committee member at Murrayfield DAFS, an Edinburgh cricket club based in the shadow of Murrayfield Rugby Stadium. Wearing daft white clothes and coming up with creative abuse accounts for a lot of my free time during the summer. I helped build the club website which you can visit above.


This Week at the Library
Ask-a-Maker Session – Monday, March 1, 10 – 11 AM
If you're a Maker working on a current project, register for one-on-one help with a MakerSpace Facilitator, hosted live via Zoom. Whether you need help using hand tools, software or specific equipment, our Makers can answer your questions.
Connect with your Community – Tuesday, March 2 , 6:30 – 7:30 PM
Learn how the Johnson County Extension office has access to the latest research-based information from universities across the county. Extension agents are Kansas State University faculty members living in the community and offering classes and information on a wide variety of subjects ranging from nutrition, to money management, to horticulture. They’ll help you apply information to your own specific issues here in Johnson County.
Book Party – Wednesday, March 3, 2 – 2:30 PM
Get some fresh reading and listening recommendations from one of our Librarians! Join us for a Book Party where a librarian will "booktalk" a short list of titles centering around a certain genre or theme.
Young Adult Literacy Council – Sunday, March 7, 2-3 PM
Teens are invited to join the YA Literary Council to share favorite books, review titles for the Library website and participate in fun activities. You can meet new people and receive volunteer credit hours for your time with us.


The bulk of the Accessors work uses the following license:
Copyright (c) 2015-2016 The Regents of the University of California. All rights reserved. Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this software and its documentation for any purpose, provided that the above copyright notice and the following two paragraphs appear in all copies of this software. IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
In addition, various files have other licenses:
hosts/broswer/modules/
hosts/browser/modules/decode.js
hosts/browser/modules/encode.js
hosts/browser/modules/events.js
// Copyright Joyent, Inc. and other Node contributors. // // Permission is hereby granted, free of charge, to any person obtaining a // copy of this software and associated documentation files (the // "Software"), to deal in the Software without restriction, including // without limitation the rights to use, copy, modify, merge, publish, // distribute, sublicense, and/or sell copies of the Software, and to permit // persons to whom the Software is furnished to do so, subject to the // following conditions: // // The above copyright notice and this permission notice shall be included // in all copies or substantial portions of the Software.  IN // NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, // DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR // OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE // USE OR OTHER DEALINGS IN THE SOFTWARE.
hosts/browser/modules/jquery.js
has the following license:
/*! * jQuery JavaScript Library v2.1.4 * http://jquery.com/ * * Includes Sizzle.js * http://sizzlejs.com/ * * Copyright 2005, 2014 jQuery Foundation, Inc. and other contributors * Released under the MIT license * http://jquery.org/license * * Date: 2015-04-28T16:01Z */ ... /*! * Sizzle CSS Selector Engine v2.2.0-pre * http://sizzlejs.com/ * * Copyright 2008, 2014 jQuery Foundation, Inc. and other contributors * Released under the MIT license * http://jquery.org/license * * Date: 2014-12-16 */
On February 3, 2016, http://jquery.org linked to https://tldrlegal.com/license/mit-license, which eventually linked to:
The MIT License (MIT) Copyright (c)Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


40 + 40 =
80 - 40 =
123 padded with zeroes =
Show 4 digit year:
Show 2 digit year:
Static Property STYWin.Utilities.Math.TAU() :


FEATURED PRODUCTS
Lipsum comoodo Manager
The mission of Orlin Research, Inc., is to produce software products that multiply the power and efficiency of empirical scientific research in the social sciences.
A center goal is to expand access to complex data sources and to the advanced the methods of scientific investigation needed to analyze them.
More
LATEST NEWS
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27
NOVAn early access previewAn early access preview of the Orlin Data Manager is avaliable... -
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DECAn early access previewAn early access preview of the Orlin Data Manager is avaliable... -
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DECAn early access previewAn early access preview of the Orlin Data Manager is avaliable...
WHO WE ARE ?
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Contact Us
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-<EMAIL_ADDRESS>- Orlin Research, Inc. 7412 Ridgewood Ave Chevy Chase, MD 20815 USA


Spotify play history and user info will be stored and periodically updated. To opt-out or delete stored data, please contact us.


{% extends 'all-photos/base.html' %} {%block content%}
{{image.post}}
Posted {{image.pub_date|timesince}} by {{image.editor.location}}


I don’t really know what my long term goals are or what my career pathway looks like but I do know that I would like to:
- Have the skills to be able to work as a coder in a creative environment where one of the workplace values is caring for the environment or positive change in the world somehow.
- Have the flexibility to work 3-4 days a week if I want to or perhaps in chucks.
While being at EDA I would like to get better at speaking in front of a group, not being as anxious about being with new people, be better at lowering my self-expectations and get to know myself at a deeper level.
I think I am a good communicator, a great listener and have some awesome human skills. Some limitations in myself would be that I don’t have much experience or knowledge in coding, am not used to sitting down and being on the computer for long periods of time, find reading, writing and spelling challenging as I am a bit dyslexic especially when I am stressed, not used to doing one thing all day (I haven’t had a job for a few months) and my self-belief.
In regards to the strengths and limitations I have noted above, I will manage my workload and self during DEV Academy’s course well because:
- I like rules and have given myself a schedule to be able to keep up with the current workload, I think this will be very useful as time goes on including getting myself used to being in front of a computer for long periods of time.
- I know I get overwhelmed and start to shut down when I get quite stressed which doesn't help with being able to read properly, I currently and will continue to do things I know that are good for me to combate that like exercise, eating healthy, quiet me times, breathing techniques to stay calm, cooking, seeing friends and talking about things that come up with trusted friends.
- I know that if I am feeling good in myself then I can do anything, work with anyone and make things an enjoyable and productive experience.
- I have been practising NVC for a number of years now and find this a very useful skill to have, especially when I find myself in heated or challenging situations. I also find that it makes great situations wonderful times too.
- I value and respect other people’s opinions and will use my communication and listening skills to be able to work cohesively with other students, staff and others who I may come in contact with.
- To summarise; I will stick to the schedule I have made, continue my self care regime talk to others when I notice things start to get on top of me, I will use my wonderful skills of NVC to sort out any issues and respect and value others as the wonderful human beings that they are.
I love asking questions and will direct these to the people I think are most appropriate for the situation at hand when I am in need of help. For example for technical questions, google, Slack groups, facilitators and for other matters, other students, facilitators, friends, my counselor.
What I am expecting from the facilitation team is:
- To have a check-in with Joseph every week during Foundations
- To be supported in my learning journey by being supplied with work and challenges, help with technical questions, have a space to go to to work which is conducive for learning, be held accountable for deadlines and keeping up with the workload
- Have some understanding and a listening ear to say if I am not dealing with things well
Currently the only other commitment I have that is not that flexible is Thursday afternoon/evening every second week to pack and collect food from the co op I am apart of. In saying this, it is also quite flexible.


Store Manager is the world's leading Sales and Inventory management system.
We offer comprehensive system that addresses the day to day activities of your business.
The system has two levels of users allowing you as the business owner access and privilage to sections of the system that are restricted to the other users.
The store owner can create, revoke or grant access to a sales attendant, making it possible to manage your staff.
The store owner can view and track the perfomance by each sales attendant.
The sales attendants can track their sales over time and view their perfomance.
The sales can be filtered through several criteria to generate useful report for refference.
The system tracks stock levels to ensure that you are alerted when stock is depleted or reached the minimum threshold.
The system allows classification of items into diffent categories for easier management.


Login page
First name:
Last Name:
Password:
Gender:
male
female
Phone Number:
Date of birth:
E-mail :
Premenent Address :
same as above
Contact Address:
Subjects:
English
Computer
Science
Education:
U.G
P.G
PhD
Profile pic:


Populate - DBRef-like behavior
ObjectIds
can now refer to another document in a collection within our database and be populate()
d when querying. An example is helpful:
var mongoose = require('mongoose')
, Schema = mongoose.Schema
var PersonSchema = new Schema({
name : String
, age : Number
, stories : [{ type: Schema.ObjectId, ref: 'Story' }]
});
var StorySchema = new Schema({
_creator : { type: Schema.ObjectId, ref: 'Person' }
, title : String
, fans : [{ type: Schema.ObjectId, ref: 'Person' }]
});
var Story = mongoose.model('Story', StorySchema);
var Person = mongoose.model('Person', PersonSchema);
So far we've created two models. Our Person
model has its stories
field set to an array of ObjectId
s. The ref
option is what tells Mongoose in which model to look, in our case the Story
model. All _id
s we store here must be document _id
s from the Story
model. We also added a _creator
ObjectId
to our Story
schema which refers to a single Person
.
Saving a ref (to the parent)
Below you can see how we "save" a ref in 'story1' back to the _creator. This
is usually all you need to do.
var aaron = new Person({ name: 'Aaron', age: 100 });
aaron.save(function (err) {
if (err) ...
var story1 = new Story({
title: "A man who cooked Nintendo"
, _creator: aaron._id
});
story1.save(function (err) {
if (err) ...
});
})
Populating the refs (to the parent)
So far we haven't done anything special. We've merely created a Person
and a Story
. Now let's take a look at populating our story's _creator
:
Story
.findOne({ title: /Nintendo/i })
.populate('_creator') // <--
.exec(function (err, story) {
if (err) ..
console.log('The creator is %s', story._creator.name);
// prints "The creator is Aaron"
})
Yup that's it. We've just queried for a Story
with the term Nintendo in it's title and also queried the Person
collection for the story's creator. Nice!
Arrays of ObjectId
refs work the same way. Just call the populate
method on the query and an array of documents will be returned in place of the ObjectId
s.
What if we only want a few specific fields returned for the query? This can be accomplished by passing an array of field names to the populate
method:
Story
.findOne({ title: /Nintendo/i })
.populate('_creator', ['name']) // <-- only return the Persons name
.exec(function (err, story) {
if (err) ..
console.log('The creator is %s', story._creator.name);
// prints "The creator is Aaron"
console.log('The creators age is %s', story._creator.age)
// prints "The creators age is null'
})
Now this is much better. The only property of the creator we are using is the name
so we only returned that field from the db. Efficiency FTW!
Great, but what if we wanted to populate our fans
array based on their age, and return, at most, any 5 of them?
Story
.find(...)
.populate('fans', null, { age: { $gte: 21 }}, { limit: 5 })
Done. Conditions and options are the third and fourth arguments respectively.
References to the children
You may find however, if you use the aaron
object, you are unable to get a list of the stories
. This is because no story
objects were ever 'pushed' on to aaron.stories
.
There are two perspectives to this story. First, it's nice to have aaron know which are his stories.
aaron.stories.push(story1);
aaron.save();
This allows you do a find & populate like:
Person
.findOne({ name: 'Aaron' })
.populate('stories') // <-- only works if you pushed refs to children
.exec(function (err, person) {
if (err) ..
console.log('JSON for person is: ', person);
})
However, it is debatable that you really want two sets of pointers as they may get out of sync. So you could instead merely find() the documents you are interested in.
Story
.find({ _creator: aaron._id })
.populate('_creator') // <-- not really necessary
.exec(function (err, stories) {
if (err) ..
console.log('The stories JSON is an array: ', stories);
})
Updating
Now that we have a story we realized that the _creator
was incorrect. We can update ObjectId
refs the same as any other property through the magic of Mongooses internal casting:
var guille = new Person({ name: 'Guillermo' });
guille.save(function (err) {
if (err) ..
story._creator = guille; // or guille._id
story.save(function (err) {
if (err) ..
Story
.findOne({ title: /Nintendo/i })
.populate('_creator', ['name'])
.exec(function (err, story) {
if (err) ..
console.log('The creator is %s', story._creator.name)
// prints "The creator is Guillermo"
})
})
})
Note:
The documents returned from calling populate
become fully functional, remove
able, save
able documents. Do not confuse them with embedded docs. Take caution when calling its remove
method because you'll be removing it from the database, not just the array.


Full Stack web developer looking to build a career in front end development.
I have consulted with and advised multitudes of Illinois residence on their finances. I drafted and filed thousands of bankruptcy petitions and plans. I filed many, many court motions and attended trustee meetings.
I interviewed clients (both in person and over the phone), presented cases in court, drafted pleadings, wills, and DPOAs, and have worked on cases of guardianship, breach of contract, consumer fraud, veterans' benefits, estate administration, public benefits cases, small claims, and many other issues facing the elderly of Southern Illinois.
Apart from being a lawyer and a web developer, I am enthusiastic about art, philosphy, economics, marketing, travel, and gaming.


The "used" size is the final value of a dimension property after all calculations have
been performed. This method uses the computed style of element
but returns undefined
if the computed style is not expressed in pixels. That can happen in some cases where
element
has a size relative to its parent and this last one is not yet displayed,
for example because of display: none
on a parent node.
Size in pixels or undefined if unknown.
Generated using TypeDoc
Detects support for options object argument in addEventListener. https://developer.mozilla.org/en-US/docs/Web/API/EventTarget/addEventListener#Safely_detecting_option_support


Files | |
| file | MMCSD.h |
| MMCSD driver interface. | |
| #define | MMCSD_OK (0) |
| #define | MMCSD_CMD_RESERVED (32U) |
| #define | MMCSD_ERR (-(1)) |
| #define | MMCSD_UNDEFINEDCMD (-(2)) |
| #define | MMCSD_ERR_1P8V_SWITCH_CARD_NOT_RESPONDING (-(3)) |
| #define | MMCSD_ERR_1P8V_SWITCH_MMCIO_SWITCH_FAILURE (-(4)) |
| #define | MMCSD_ERR_1P8V_SWITCH_CARD_CMD11_FAILURE (-(5)) |
| #define | MMCSD_ERR_FREQ_SWITCH_UNSUCCESSFUL (-(7)) |
| #define | MMCSD_ERR_VOLTAGE_SWITCH_FAILURE (-(8)) |
| #define | MMCSD_ERR_SET_SOC_INTERRUPT_PATH (-(9)) |
| #define | MMCSD_ERR_REL_SOC_INTERRUPT_PATH (-(10)) |
MMCSD driver interface
| #define MMCSD_CMD_RESERVED (32U) |
MMCSD driver implementations should offset command codes with MMCSD_CMD_RESERVED growing positively
| #define MMCSD_ERR (-(1)) |
MMCSD return code – Function executed failed
| #define MMCSD_ERR_1P8V_SWITCH_CARD_CMD11_FAILURE (-(5)) |
MMCSD_Open() returns this if the card indicated that a switch is possible via ACMD41 (S18A=1) but stopped responding to CMD11. It could be that some cards may not support CMD11 switch eventhough they advertise it
MMCSD_Control(SET_BUS_FREQ) returns this if a switch to a frequency/mode is not supported by the card. The busFreq should be selected among four types 25MBPS,50MBPS,SDR50/DDR50 (100MBps), SDR104 (200MBPs).
| #define MMCSD_ERR_1P8V_SWITCH_CARD_NOT_RESPONDING (-(3)) |
MMCSD_Open() returns this if a 1.8V switch was attempted by the controller with the consent of the card (S18A=1), but the card stopped responding thereafter.
| #define MMCSD_ERR_1P8V_SWITCH_MMCIO_SWITCH_FAILURE (-(4)) |
MMCSD_Open() returns this if changing the MMC controller's voltage to 1.8V stopped the controller working with CMD and DAT lines always powered low. In other words, the 1.8V switch was not succesful as far as the controller is concerned.
| #define MMCSD_ERR_FREQ_SWITCH_UNSUCCESSFUL (-(7)) |
MMCSD_Control(SET_BUS_FREQ) returns this if a switch to a frequency switch was attempted but failed.
| #define MMCSD_ERR_REL_SOC_INTERRUPT_PATH (-(10)) |
Error encountered in setting SOC interrupt path was attempted but failed.
| #define MMCSD_ERR_SET_SOC_INTERRUPT_PATH (-(9)) |
Error encountered in setting SOC interrupt path was attempted but failed.
| #define MMCSD_ERR_VOLTAGE_SWITCH_FAILURE (-(8)) |
The user defined function MMCSD_voltageSwitchFxn() returns this if a switch to a desired voltage was attempted but failed.
| #define MMCSD_OK (0) |
MMCSD return code – Function executed successfully
| #define MMCSD_UNDEFINEDCMD (-(2)) |
MMCSD_control() returns MMCSD_UNDEFINEDCMD if the control code is not recognized by the driver implementation.


Introduction to PipeLine¶
The easiest way to understand MiniPipe is to dive into some examples. So let’s first look at a simple toy example of a mini-batch pipeline. This example is just to demonstrate the basic functionality of MiniPipe. We’ll get to some real-world applications later on.
Most machine learning pipeline will have at least three stages: load, transform and train. In this example we’ll simulate these three stages with these simple functions
[1]:
import time
# 'loads' data
def loader(n=10):
for i in range(n):
time.sleep(0.5)
yield i
# performs square transformation to data
def transform(x):
time.sleep(1)
return x**2
# 'saves' data
def save(x):
time.sleep(0.5)
print('x = {}'.format(x))
The first function, loader
, returns a python generator, which we’ll use to generate our “data”. I’ve added a delay of 0.5s into the generator to simulate loading time. The next function transform
is a simple transformation on our data (squares the input), which takes twice as long (1s) as loading. Finally save
simply prints our data to stdout, also taking 0.5s to simulate saving time.
Of course in this simple example we can fit all the “data” into memory, but lets pretend like that’s not the case. We need to load one chunk of data at a time, where each data chunk is returned with the next(loader())
method.
Serial Pipeline (without MiniPipe)¶
Lets setup a serial pipeline without MiniPipe, where we get the data, transform it and then save it one batch at a time. We’ll use jupyter’s %%timeit magic cell to time execution time.
[2]:
%%timeit -n 1 -r 1
# initialize loader
ldr = loader()
# run pipeline
for data in ldr:
x = transform(data)
save(x)
x = 0
x = 1
x = 4
x = 9
x = 16
x = 25
x = 36
x = 49
x = 64
x = 81
20.1 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
The for loop calls the next(lrd)
method 10 times sequentially, each time applying transform
followed by save
. As expected the execution time takes about 20s since each iteration takes a total of 2s (0.5s + 1s + 0.5s) and it’s repeated 10 times.
MiniPipe: Pipeline Parallel¶
Now lets see what the same pipeline looks like in MiniPipe.
[3]:
import minipipe as mp
# initialize loader
ldr = loader()
# initialize pipeline
pline = mp.PipeLine()
# Add pipe segments sequentially
pline.add(mp.Source(ldr, name='load')) # loader is initialized
pline.add(mp.Transform(transform, name='trans'))
pline.add(mp.Sink(save, name='save'))
# build pipeline
pline.build()
If you’ve used the Keras Sequential API this will look familiar to you. MiniPipe has three basic types of pipe segments: Sources, Transforms and Sinks. Each has one requires an argument called functor. For Sources functors must always be an uninitialized generator, while for Sinks and Transforms functors can be either a function or a class (with a run
method). There’s also an additional pipe segment called a Regulator which accepts coroutines, which will be discuss later.
Sources pass data downstream, Sinks accept data from upstream and Transforms do both. In the PipeLine API pipe segments are connected by adding them to an initialized PipeLine
and then calling the PipeLine.build
method.
We can inspect the pipeline graph with the PipeLine.diagram
method (requires graphviz) to make sure it looks as expected.
[4]:
pline.diagram()
[4]:
Looks good. Now we can run the pipeline; let’s again time it as before.
[5]:
%%timeit -n 1 -r 1
pline.run()
pline.close()
x = 0
x = 1
x = 4
x = 9
x = 16
2020-01-03 16:39:20,590 - INFO - load - End of stream
x = 25
2020-01-03 16:39:21,578 - INFO - load - Local termination
x = 36
x = 49
x = 64
2020-01-03 16:39:24,578 - INFO - trans - Local termination
x = 81
2020-01-03 16:39:25,083 - INFO - save - Local termination
11 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
We see from the logging (which can be set in the PipeLine.build
method) where each pipe segment shutdown. When the end of stream was reached Source shutdown, followed by Transform and Sink.
The execution time is now 11s instead of 20s. That’s because each pipe segments executes on it’s own thread/process allowing for parallel execution. Of course dependent nodes still have to wait for data to be passed downstream, but once data is passed the node can start on the next batch without waiting for the full pipeline to be executed. Thus we expect the total time to be 0.5s (initial load) + 10 x (1s) + 0.5s (final save) = 11s.
By default MiniPipe will place each pipe segment on its own process. Each process runs independently in an asynchronous fashion. MiniPipe is an API built on top of Python’s Multiprocessing library.
There is no limit to the number of processes you can run, however you are limited by the number of physical cores on your machine. For computation heavy pipelines bound to the CPU you may see performance degradation if the number of pipe segments exceed the number of physical cores. On the other hand, I/O processes such as loading, or computation that’s bound to the GPU such as training, this should be less of an issue.
MiniPipe: Horizontal Scaling¶
Since Transform
takes twice as long as Loader
and Save
we can additionally speed things up by by increasing the number of Transform processes. Minipipe is designed for this type of horizontal parallelization as well.
[6]:
# initialize loader
ldr = loader()
# initialize pipeline
pline = mp.PipeLine()
# add pipe segments
pline.add(mp.Source(ldr, name='load')) # loader is initialized
pline.add(mp.Transform(transform, name='trans'), n_processes=2) # ask for 2 processes
pline.add(mp.Sink(save, name='save'))
# build pipeline
pline.build()
We setup the pipeline exactly as before, except now when we add Transform to the pipeline we reserve two processes with the n_processes
argument.
Now lets look at the pipeline graph.
[7]:
pline.diagram()
[7]:
We see there are two separate Transform processes, but it’s somewhat unclear what happens to the data after Source. To understand what’s happening here we have to introduce the concept of a Stream.
A Stream is a multiprocessing queue that holds the data while processes are busy. Each pipe segment is connected to a Stream. To see the Streams in the graph diagram along with the pipe segments you just need to set the draw_streams
argument to true.
[8]:
pline.diagram(draw_streams=True)
[8]:
We see that loader
puts data on its downstream queue stream_0
while both Transform_0
and Transform_1
get data from that same queue. This allows the two Transform processes to executing asynchronously. The first available Transform process will take the data, so in this graph the order of data chunks in not necessarily preserved.
Now lets see how long this pipeline takes.
[9]:
%%timeit -n 1 -r 1
pline.run()
pline.close()
x = 0
x = 1
x = 4
x = 9
x = 16
x = 25
2020-01-03 16:39:31,164 - INFO - load - End of stream
2020-01-03 16:39:31,171 - INFO - load - Local termination
x = 36
2020-01-03 16:39:31,665 - INFO - trans_0 - Local termination
x = 49
2020-01-03 16:39:32,166 - INFO - trans_1 - Local termination
x = 64
x = 81
2020-01-03 16:39:32,711 - INFO - save - Local termination
6.58 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
We see it takes just over 6.5s as expected, about 1/3rd of the original execution time.
At this point the only way to speed things up further is to introduce parallel load processes. This can be done by using two separate Sources each with their own generator function. However this cannot be done with the PipeLine API since it only allows for sequential pipelines. In the next section we’ll introduce the PipeSystem API, which allows for general graph structures.


| eu.monnetproject.lemon.LexicalSense |
| Known Indirect Subclasses |
A lexical sense indicates a meaning of an entry by mapping it to an ontology entity
| Nested Classes | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| LexicalSense.ReferencePreference |
| Public Methods | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
Add a condition to this sense
| |||||||||||
Add a context to the sense
| |||||||||||
Add a definition to this sense
| |||||||||||
Add an example to this sense
| |||||||||||
Add an argument that is a member of the ontology predicate
| |||||||||||
Add an argument as the subject of the onotology predicate
| |||||||||||
Add a related sense
| |||||||||||
Add an argument as the subject of the ontology predicate
| |||||||||||
Add an atomic sense to the composition of this sense
| |||||||||||
Get the set of conditions for a particular predicate on this sense
| |||||||||||
Get the conditions on this sense
| |||||||||||
Get the contexts of the lexical sense
| |||||||||||
Get the definitions of this sense for a particular predicate
| |||||||||||
Get the definitions of this sense
| |||||||||||
Get examples of this sense
| |||||||||||
Get the arguments that are members of the ontology predicate
| |||||||||||
Get the arguments that are the object of the ontology predicate
| |||||||||||
Get the preference of the ontology entity for this sense's entry or null for no preference
| |||||||||||
Get the URI of the referenced ontology entity
| |||||||||||
Get the set of sense related by a particular predicate
| |||||||||||
Get the relations to other sense
| |||||||||||
Get the arguments that are the subject of the ontology predicate
| |||||||||||
Get the atomic senses that compose this sense, if any
| |||||||||||
Remove a condition from this sense
| |||||||||||
Remove a context from the sense
| |||||||||||
Remove a definition from this sense
| |||||||||||
Remove an example from this sense
| |||||||||||
Remove an argument this is a member of the ontology predicate
| |||||||||||
Remove an argument as the subject of the ontology predicate
| |||||||||||
Remove a related sense
| |||||||||||
Remove an argument as the subject of the ontology predicate
| |||||||||||
Remove all atomic senses from the composition of this sense
| |||||||||||
Set the preference of the ontology entity for this sense's entry or null for no preference
| |||||||||||
Set the URI of the referenced ontology entity
|
|
[Expand]
Inherited Methods | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
From interface
eu.monnetproject.lemon.LemonElement
| |||||||||||
|
From interface
eu.monnetproject.lemon.LemonElementOrPredicate
|
Add a condition to this sense
Add a definition to this sense
Add an argument that is a member of the ontology predicate
Add an argument as the subject of the onotology predicate
Add a related sense
Add an argument as the subject of the ontology predicate
Add an atomic sense to the composition of this sense
Get the set of conditions for a particular predicate on this sense
Get the conditions on this sense
Get the definitions of this sense for a particular predicate
Get the definitions of this sense
Get the arguments that are members of the ontology predicate
Get the arguments that are the object of the ontology predicate
Get the preference of the ontology entity for this sense's entry or null for no preference
Get the URI of the referenced ontology entity
Get the set of sense related by a particular predicate
Get the relations to other sense
Get the arguments that are the subject of the ontology predicate
Get the atomic senses that compose this sense, if any
Remove a condition from this sense
Remove a definition from this sense
Remove an argument this is a member of the ontology predicate
Remove an argument as the subject of the ontology predicate
Remove a related sense
Remove an argument as the subject of the ontology predicate
Remove all atomic senses from the composition of this sense
Set the preference of the ontology entity for this sense's entry or null for no preference
Set the URI of the referenced ontology entity


{% extends "single-column.html" %}
{% block title %}Crunch.io - Application Error{% endblock %}
{% block content %}
The page you have encountered an application error. The administrators have
been notified. Please return to the main page.
{% endblock %}


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[TODAYS_DATE]
{# TODO: Add the temperature, description, and min & max temperature below. Replace 'F' with the appropriate units. #}It is [NUM_DEGREES] [UNITS] [WARMER/COLDER] in [CITY1] than in [CITY2] today.
The humidity in [CITY1] is [AMOUNT] [GREATER/LESS] than in [CITY2].
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NAF confirms helicopter crash in Enugu
by The Eagle OnlineThe Nigerian Air Force has confirmed the crash-landing of its helicopter on Thursday at its base in Enugu.
A statement on Friday in NAF’s Twitter handle, said that the incident occurred after a routine flight and that though the blades of the helicopter broke but there were no casualties.
The statement said that the cause of incident could not be ascertained.
The statement reads: “@NigAirForce Helicopter has crashed on landing in Enugu after a routine flight today. Fortunately, there were no fatalities or injuries to any crew member or persons on the ground.
“@CAS_AMSadique has directed that a Board of Inquiry be constituted to determine the causes of the accident.
“Nigeria Air Force continues to solicit the understanding and support of the general public as it daily strives to ensure the security of Nigeria and Nigerians.”
The base is close to Akanu Ibiam International airport where repair works have commenced after it’s closure in August this year.
The News Agency of Nigeria reports that the scene of the crash was cordoned-off as members of the public attempted to have full glare of the incident.
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Intro
I am a student enrolled in Bachelors Degree leading to Computer Science at Multimedia University of Kenya. While Doing this Course I developed intrest in Software Development and Engineering Which made me start learning about it. I have gained skills in Software Development using Object Oriended Methods , Web Development and Also some Data Visualization. You can have a look at My Github page to see more about me...Check out.
Technical Expirience
Languages: Html5, Css3, JavaScript, PHP, Python , C++ ,
Platforms (OS): Windows 7/8/10,Kali Linux
Skills: Networking and network troubleshooting,Computational thinking,Discrete Mathematics,Web Development , Object design and Analysis , Working with data structures and allogarithms ,Data cleaning using Python Pandas and data visualization using Matplotlip.
Expertise: Installing and configuring Windows and Linux Operating system, troubleshooting, Database management with MySQL and Php , Python .
About
I am profficient in Pyhton Backend development using Php. Also C++ , JavasCript, PHP, MySQL
Mathematics and Physics Enthusiastic 😜
<EMAIL_ADDRESS>Contacts


Price: car price
Type: car type
Brand: car brand
Model: car model
Year: car year
Usage of vehicle: car usage
Description: car description


Continuing Table refactoring & application version upgrades, Part I, we now discuss code & database upgrades which require DROP operations. As before, we break apart the upgrade process into sequential steps, each involving either the application or the database, but not both.
As I'll show, DROP operations are significantly simpler than creation operations. Interestingly, it's the same as in life.
DROP COLUMN
A column turns to be redundant, unused. Before it is dropped from the database, we must ensure no one is using it anymore. The steps are:
- App: V1 -> V2. Remove all references to column; make sure no queries use said column.
- DB: V1 -> V2 (possibly failover from M1 to M2), change is DROP COLUMN.
DROP INDEX
A possibly simpler case here. Why would you drop an index? Is it because you found out you never use it anymore? Then all you have to do is just drop it.
Or perhaps you don't need the functionality the index supports anymore? Then first drop the functionality:
- (optional) App: V1 -> V2. Discard using functionality which relies on index.
- DB: V1 -> V2 (possibly failover from M1 to M2), change is DROP INDEX. Check out InnoDB Plugin here.
DROP UNIQUE INDEX
When using Master-Slave failover for table refactoring, we're now removing a constraint from the slave. Since the master is more constrained than the slave, there is no problem here. It's mostly the same as with a normal DROP INDEX, with a minor addition:
- (optional) App: V1 -> V2. Discard using functionality which relies on index.
- DB: V1 -> V2 (possibly failover from M1 to M2), change is DROP INDEX.
- (optional) App: V2 -> V3. Enable functionality that inserts duplicates.
DROP FOREIGN KEY
Again, we are removing a constraint.
- DB: V1 -> V2 (possibly failover from M1 to M2), change is DROP INDEX.
- (optional) App: V2 -> V3. Enable functionality that conflicts with removed constraint.
DROP TABLE
The very simple steps are:
- App: V1 -> V2. Make sure no reference to table is made.
- DB: V1 -> V2. Issue a DROP TABLE.
 Not only does the action take long time, it also locks down the table cache, which very quickly leads to having dozens of queries hang. xfs is a good alternative.
Conclusion
We looked at single table operations, coupled with application upgrades. By carefully looking at the process breakdown, multiple changes can be addressed with ease and safety. Not all operations are completely safe when used with replication failover. But they are mostly safe if you have some trust in your code.
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|
SuanShu, a Java numerical and statistical library | |||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object com.numericalmethod.suanshu.analysis.function.rn2r1.UnivariateRealFunction com.numericalmethod.suanshu.analysis.function.special.LogGamma
public class LogGamma
This computes an approximation to the log Gamma function, log(Γ(z))
, for positive real numbers.
We provide a few ways to compute log(Γ(z))
.
Each method differs in accuracy and speed.
For example,
The full Lanczos approximation can be made arbitrarily precise because it is computed using BigDecimal.
The quick Lanczos approximation is quick but could be less precise because the computations are done in double precision.
| Nested Class Summary | |
|---|---|
static class |
LogGamma.Method
the methods available to compute log(Γ(z)) |
| Nested classes/interfaces inherited from interface com.numericalmethod.suanshu.analysis.function.Function |
|---|
Function.EvaluationException |
| Constructor Summary | |
|---|---|
LogGamma()
Construct an instance to compute for log Gamma function with default settings. |
|
LogGamma(LogGamma.Method method,
double g,
int n,
int scale)
Construct an instance to compute for log Gamma function. |
| Method Summary | |
|---|---|
double |
evaluate(double x)
Compute for the Gamma function in the positive Real domain. |
| Methods inherited from class com.numericalmethod.suanshu.analysis.function.rn2r1.UnivariateRealFunction |
|---|
dimension4Domain, dimension4Range, evaluate |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public LogGamma()
public LogGamma(LogGamma.Method method, double g, int n, int scale)
Recommended settings are
g = 607.0 / 128.0
n = 15
scale = 30
method
- the algorithm to use, which affects only precisiong
- g
n
- n
scale
- precision| Method Detail |
|---|
public double evaluate(double x)
evaluate
in class UnivariateRealFunction
x
- a real number > 0
log(Γ(z))
|
SuanShu, a Java numerical and statistical library | |||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{{ _("You tried to do something that you weren't allowed to.") }}
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A description can appear on the right.
This is a common modal that can be shared accross multiple views and app states.


§476-2 Application when inconsistent with federal provisions or regulations. No contract, memorandum, or advertisement shall be required by this chapter to contain any disclosure which is inconsistent with the requirements of the federal Truth in Lending Act. [L 1969, c 126, §3; am L 1974, c 41, §1; am L 1975, c 59, §1; am and ren L 1984, c 86, pt of §1]
Law Journals and Reviews
For discussion of federal requirements, see A Summary of the Consumer Credit Protection Act with Special Emphasis on Truth-In-Lending and Regulation Z. 6 HBJ 101.


Write down part of the question which needs to be hidden from the player in order to
make it not painfully easy. For example, if the answer is "Pizza", you should probably
erase all "pizza"s from the question. Just enter the word (or phrase) and click
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When I took Thinking Style test, my thinking style is both concrete sequential (CS) and abstract sequential (AS). I use my five senses - sight, smell, touch, taste, and hearing- as well as intuition and imagination. Since my CS and AS scores were 42 and 40 each,
I strongly prefer ordered, sequential, and linear way. I always plan ahead and it makes me uncomfortable to do something without plan.


#import "template.html" as template><EMAIL_ADDRESS><#if !success?? && !error??>
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Lua errors as returned by call and pcall
| Member Name | Description |
|---|---|
| NoError | No error occured. |
| ErrorRuntime | Runtime error. |
| ErrorFile | Error reading file. |
| ErrorSyntax | Syntax error. |
| ErrorMemory | Memory error; e.g. not enough memory. |
| ErrorUnknown | Unknown internal error. |
Namespace: dotLua
Assembly: dotLua (in dotLua.dll)


Strings.count(string, searchString) Strings.count(string, searchString, startIndex=1, caseSensitive=true)
Returns the number of non-overlapping occurrences of string "searchString" in "string". The search is started at index "startIndex" (default = 1). If the optional argument "caseSensitive" is false, for the counting it does not matter whether a letter is upper or lower case.
function count extends Modelica.Icons.Function; input String string "String that is analyzed"; input String searchString "String that is searched for in string"; input Integer startIndex(min = 1) = 1 "Start search at index startIndex"; input Boolean caseSensitive = true "= false, if lower and upper case are ignored for count"; output Integer result "Number of occurrences of 'searchString' in 'string'"; end count;


Working with State describes operator state which upon restore is either evenly distributed among the parallel tasks of an operator, or unioned, with the whole state being used to initialize the restored parallel tasks.
A third type of supported operator state is the Broadcast State. Broadcast state was introduced to support use cases where some data coming from one stream is required to be broadcasted to all downstream tasks, where it is stored locally and is used to process all incoming elements on the other stream. As an example where broadcast state can emerge as a natural fit, one can imagine a low-throughput stream containing a set of rules which we want to evaluate against all elements coming from another stream. Having the above type of use cases in mind, broadcast state differs from the rest of operator states in that:
To show the provided APIs, we will start with an example before presenting their full functionality. As our running example, we will use the case where we have a stream of objects of different colors and shapes and we want to find pairs of objects of the same color that follow a certain pattern, e.g. a rectangle followed by a triangle. We assume that the set of interesting patterns evolves over time.
In this example, the first stream will contain elements of type Item
with a Color
and a Shape
property. The other
stream will contain the Rules
.
Starting from the stream of Items
, we just need to key it by Color
, as we want pairs of the same color. This will
make sure that elements of the same color end up on the same physical machine.
Moving on to the Rules
, the stream containing them should be broadcasted to all downstream tasks, and these tasks
should store them locally so that they can evaluate them against all incoming Items
. The snippet below will i) broadcast
the stream of rules and ii) using the provided MapStateDescriptor
, it will create the broadcast state where the rules
will be stored.
Finally, in order to evaluate the Rules
against the incoming elements from the Item
stream, we need to:
Connecting a stream (keyed or non-keyed) with a BroadcastStream
can be done by calling connect()
on the
non-broadcasted stream, with the BroadcastStream
as an argument. This will return a BroadcastConnectedStream
, on
which we can call process()
with a special type of CoProcessFunction
. The function will contain our matching logic.
The exact type of the function depends on the type of the non-broadcasted stream:
KeyedBroadcastProcessFunction
.BroadcastProcessFunction
.Given that our non-broadcasted stream is keyed, the following snippet includes the above calls:
As in the case of a CoProcessFunction
, these functions have two process methods to implement; the processBroadcastElement()
which is responsible for processing incoming elements in the broadcasted stream and the processElement()
which is used
for the non-broadcasted one. The full signatures of the methods are presented below:
The first thing to notice is that both functions require the implementation of the processBroadcastElement()
method
for processing elements in the broadcast side and the processElement()
for elements in the non-broadcasted side.
The two methods differ in the context they are provided. The non-broadcast side has a ReadOnlyContext
, while the
broadcasted side has a Context
.
Both of these contexts (ctx
in the following enumeration):
ctx.getBroadcastState(MapStateDescriptor<K, V> stateDescriptor)
ctx.timestamp()
,ctx.currentWatermark()
ctx.currentProcessingTime()
, andctx.output(OutputTag<X> outputTag, X value)
.The stateDescriptor
in the getBroadcastState()
should be identical to the one in the .broadcast(ruleStateDescriptor)
above.
The difference lies in the type of access each one gives to the broadcast state. The broadcasted side has read-write access to it, while the non-broadcast side has read-only access (thus the names). The reason for this is that in Flink there is no cross-task communication. So, to guarantee that the contents in the Broadcast State are the same across all parallel instances of our operator, we give read-write access only to the broadcast side, which sees the same elements across all tasks, and we require the computation on each incoming element on that side to be identical across all tasks. Ignoring this rule would break the consistency guarantees of the state, leading to inconsistent and often difficult to debug results.
Finally, due to the fact that the KeyedBroadcastProcessFunction
is operating on a keyed stream, it
exposes some functionality which is not available to the BroadcastProcessFunction
. That is:
ReadOnlyContext
in the processElement()
method gives access to Flink’s underlying timer service, which allows
to register event and/or processing time timers. When a timer fires, the onTimer()
(shown above) is invoked with an
OnTimerContext
which exposes the same functionality as the ReadOnlyContext
plus
Context
in the processBroadcastElement()
method contains the method
applyToKeyedState(StateDescriptor<S, VS> stateDescriptor, KeyedStateFunction<KS, S> function)
. This allows to
register a KeyedStateFunction
to be applied to all states of all keys associated with the provided stateDescriptor
.Coming back to our original example, our KeyedBroadcastProcessFunction
could look like the following:
After describing the offered APIs, this section focuses on the important things to keep in mind when using broadcast state. These are:
There is no cross-task communication: As stated earlier, this is the reason why only the broadcast side of a
(Keyed)-BroadcastProcessFunction
can modify the contents of the broadcast state. In addition, the user has to make
sure that all tasks modify the contents of the broadcast state in the same way for each incoming element. Otherwise,
different tasks might have different contents, leading to inconsistent results.
Order of events in Broadcast State may differ across tasks: Although broadcasting the elements of a stream guarantees that all elements will (eventually) go to all downstream tasks, elements may arrive in a different order to each task. So the state updates for each incoming element MUST NOT depend on the ordering of the incoming events.
All tasks checkpoint their broadcast state: Although all tasks have the same elements in their broadcast state
when a checkpoint takes place (checkpoint barriers do not overpass elements), all tasks checkpoint their broadcast state,
and not just one of them. This is a design decision to avoid having all tasks read from the same file during a restore
(thus avoiding hotspots), although it comes at the expense of increasing the size of the checkpointed state by a factor
of p (= parallelism). Flink guarantees that upon restoring/rescaling there will be no duplicates and no missing data.
In case of recovery with the same or smaller parallelism, each task reads its checkpointed state. Upon scaling up, each
task reads its own state, and the remaining tasks (p_new
-p_old
) read checkpoints of previous tasks in a round-robin
manner.
No RocksDB state backend: Broadcast state is kept in-memory at runtime and memory provisioning should be done accordingly. This holds for all operator states.


Design Max
Less is More
When I wish upon a star...!
Tenor Saxophone
Baritone Saxophone
Stand-up Bass
Electric Stand-up Bass
Travel Midi-controller Keys
Hand Drums
Ukelele


Bernarde:
Darion's minions are likely still numerous within the Steel Citadel, making our path even more difficult. We must find a way to decrease their numbers!


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Google acts as a calculator if you enter a sum.
Googling "11 * 12" displays "132".
(Hover over the i icons to see the logging.)


It Belongs in a Museum
Three Git tenants, updated
Presented by Chris Silivestru
www.bithound.io / @bithoundio
Presented by Chris Silivestru
www.bithound.io / @bithoundio
*Note: the '-i' is optional
*Just don't leave it that way
Slides: CSilivestru/git-different
Coffee Repo: CSilivestru/coffee
Go and check us out!!


Try to indent the whole file several times. The first time both the html and the php code is badly indented.


|
Providing the world's most attractive GUI with stunning multimedia fanfares will not give the system a good "feel" if the processor grinds slowly to a halt under the sheer task load. Countless games have been written that demanded too much of the hardware they were designed for. "The Lord of the Rings" was a textually based adventure/strategy game with occasional graphics for the 8-bit Micros of the 1980's. Some user inputs required a 5 minute process cycle before another chance of interaction was given. The response time felt slow, sloppy and annoying. This created an informally assimilated program specification beyond the designer's immediate thoughts. If a user is required to wait they should be kept informed of system activities. A blank screen with no information leaves a user wondering what has happened - has the system simply crashed? An icon of an egg timer is one famous solution, another is the InstallShield-style task bar that gives an indication of the percentage of the task remaining until completion. Indeed, for a product to carry the "Microsoft Windows 95/98 compatible" badge, one of the requirements is the percentage task bar. In any case, users feel that waiting time is actually less when such confirmation is employed, despite evidence to the contrary. |


I'll soon be starting a new job with a non-profit organization, The Open Planning Project. I'm still trying to get a handle on the exact goals of the project, as the history of TOPP has involved several subprojects, and the project I'm working on is both complementary to the other projects (which are primarily about participatory urban planning) and also a new direction. The short form of the mission seems best described as creating a Sourceforge for community organizing, which covers a lot and seems to be pretty accurate. I haven't yet figured out how to concisely explain it to friends and family members who aren't programmers.
I'm pretty excited about it; all of the work will be open source, we'll be using Python a lot, and the ends themselves are something I really want to support.
Most of the team is in New York City, but I'll be working from home. So if you are in Chicago, look me up for lunch or something since I'll need more reasons to get out of the house.
(I'm on vacation for the next couple weeks, but I expect my open source participation will be reinvigorated shortly, so I'll see y'all around more soon)
Update: Chris Holmes tells me the new/best home page for TOPP is topp.openplans.org, which is a bit clearer about goals and mission. And look, more careers for more people!
Congratulations! Maybe after the holiday we can try to reschedule that beer.
Congrats on the new position! Sounds really interesting.
We Chicago Python Web-developer telecommuters need to stick together -- let me know if you ever want to do lunch.
Congrats!
I told our hiring dude to contact you; oh well.
Sounds like a very worthwhile project, and a great match for your interests.
P.S. I like the captcha; almost as fun as mine. :)
Congrats!
I have often said that "If I were a rich man" I would spend my time developing software and systems to help coordinate NFP and government resources to help the needy. I hope you enjoy the work!
# count0
Nice Ian--looks like a great fit--congrats.
Good Luck, Ian. I have no doubt you'll do well.
# Robert Ramsdell
Congrats on the new job!
Congrats, looks very interesting.
Next time you're in NYC to visit HQ, stop and see us NYC Pythonistas!
Congrats on the new job, Ian.
Instead of (or in addition to) lunch... how about coffee? --> http://techcoffee.infogami.com/
Cheers!


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WITNESS LIST Regulated Industries Committee March 1, 2005-12:00A HB 412 For: Biedrzycki, Carol (Texas Ratepayers Organization to Save Energy) Birnbaum, Birny (Self) Rodriguez, Antonie (National Consumer Law Center) Against: Enthoven, Nicholas (Retail Energy Credit Control) Fainter, John (Association of Electric Companies of Texas, Inc.) Jewell, Michael (Direct Energy, LP; CPL Retail Energy, LP; WTU Retail Energy, LP; Alliance for Retail Markets) Lawson, Richard (Verizon Southwest) O'Malley, Paul (TXU Energy) On: Chapman, Randall (Texas Legal Services Center) Flores, Henry (Sprint Corp.) McClellan, Suzi (Office of Public Utility Counsel) Registering, but not testifying: For: Berasley, George (AARP) Huntley, David (SBC) Morstad, Tim (Consumers Union) Smith, Tom (Public Citizen) HB 1227 For: Aghamalian, Brandon (City of Fort Worth) Akers, Monte (The Texas Coalition of Cities for Utility Issues) Carr, Snapper (Texas Municipal League) Gardner, Bill (City of Austin) Krueger, Dan (City of Houston) Steinberger, Gary (City of Fort Worth) Trice, Ricky (City of Fort Worth) Vaky, Peter (City of Fort Worth) Against: Flippo, Kristie (Time Warner Telecom) Galuan, Eleoterio (Alpheus Communications) Leu, Lori (SBC Texas) Registering, but not testifying: For: Barba, Leon (City of Austin) Cabrales, John (City of Denton) Casto, Larry (City of Dallas) Norman, Scott (Texas Association of Builders) West, Clarence (City of Austin) Against: Camacho, Jose (Valor Telecom) Flores, Henry (Sprint Corp.) Lawson, Richard (Verizon Southwest) On: Fainter, John (Association of Electric Companies of Texas, Inc.) Mann, James (Texas Pipeline Association)


A scope is an execution context for expressions. You can think of a scope as a JavaScript object that has an extra set of APIs for registering change listeners and for managing its own life cycle. In Angular's implementation of the model-view-controller design pattern, a scope's properties comprise both the model and the controller methods.
$watch
) to observe model mutations.$apply
) to propagate any model changes
through the system into the view from outside of the "Angular realm" (controllers, services,
Angular event handlers).this
within the given context. (Note: This api will change before 1.0 is released.)Every application has a root scope, which is the ancestor of all other scopes.
Expressions in the view are evaluated
against the current scope. When HTML DOM elements are attached to a scope, expressions in those
elements are evaluated against the attached scope.
There are two kinds of expressions:
digest cycle
.A scope (prototypically) inherits properties from its parent scope. Since a given property may not reside on a child scope, if a property read does not find the property on a scope, the read will recursively check the parent scope, grandparent scope, etc. all the way to the root scope before defaulting to undefined.
directives
associated with elements
(ngController, ngRepeat, ngInclude, etc.) create new child scopes that inherit properties from
the current parent scope. Any code in Angular is free to create a new scope. Whether or not your
code does so is an implementation detail of the directive, that is, you can decide when or if this
happens. Inheritance typically mimics HTML DOM element nesting, but does not do so with the same
granularity.
A property write will always write to the current scope. This means that a write can hide a parent property within the scope it writes to, as shown in the following example.
it('should inherit properties', inject(function($rootScope)) { var root = $rootScope; var child = root.$new(); root.name = 'angular'; expect(child.name).toEqual('angular'); expect(root.name).toEqual('angular'); child.name = 'super-heroic framework'; expect(child.name).toEqual('super-heroic framework'); expect(root.name).toEqual('angular'); });
Creation
$rootScope
service.parentScope.$new()
.Watcher registration
Watcher registration can happen at any time and on any scope (root or child) via scope.$watch()
API.
Model mutation
For mutations to be properly observed, you should make them only within the execution of the
function passed into scope.$apply()
call. (Angular apis do this
implicitly, so no extra $apply
call is needed when doing synchronous work in controllers, or
asynchronous work with $http
or $defer
services.
Mutation observation
At the end of each $apply
call $digest
cycle is started on
the root scope, which then propagates throughout all child scopes.
During the $digest
cycle, all $watch-ers
expressions or functions are checked for model
mutation and if a mutation is detected, the $watch-er
listener is called.
 This will stop
propagation of $digest
calls into the child scope and allow for memory used by the child scope
models to be reclaimed by the garbage collector.
The root scope can't be destroyed via the $destroy
API.
To understand how Angular applications work, you need to understand how scopes work within an application. This section describes the typical life cycle of an application so you can see how scopes come into play throughout and get a sense of their interactions.
<HTML>
DOM
element.directives
against the DOM template. The directives
usually fall into one of two categories:
directives
, such as double-curly
expressions {{expression}}
, register listeners using the $watch()
method. This type of directive needs to
be notified whenever the expression changes so that it can update the view.ngClick
, register a listener with the DOM. When the DOM listener fires, the directive executes
the associated expression and updates the view using the $apply()
method.$apply()
method so that all listeners are updated correctly.In most cases, directives
and scopes interact but do not create new
instances of scope. However, some directives, such as ngController
and ngRepeat
, create new child scopes using
the $new()
method and then attach the child scope to the
corresponding DOM element. You can retrieve a scope for any DOM element by using an
angular.element(aDomElement).scope()
method call.)
Scopes and controllers interact with each other in the following situations:
- Controllers use scopes to expose controller methods to templates (see ngController
).
- Controllers define methods (behavior) that can mutate the model (properties on the scope).
- Controllers may register watches
on the model. These watches
execute immediately after the controller behavior executes, but before the DOM gets updated.
See the controller docs for more information.
You can update a scope by calling its $apply()
method with an
expression or a function as the function argument. However it is typically not necessary to do this
explicitly. In most cases, angular intercepts all external events (such as user interactions, XHRs,
and timers) and wraps their callbacks into the $apply()
method call on the scope object for you
at the right time. The only time you might need to call $apply()
explicitly is when you create
your own custom asynchronous widget or service.
The reason it is unnecessary to call $apply()
from within your controller functions when you use
built-in angular widgets and services is because your controllers are typically called from within
an $apply()
call already.
When a user inputs data, angularized widgets invoke $apply()
on the current scope and evaluate an
angular expression or execute a function on this scope. Afterwards $apply
will trigger $digest
call on the root scope, to propagate your changes through the entire system, which results in
$watch-ers firing and view getting updated. Similarly, when a request to fetch data from a server
is made and the response comes back, the data is written into the model (scope) within an $apply,
which then pushes updates through to the view and any other dependents.
A widget that creates scopes (such as ngRepeat
) via $new
,
doesn't need to worry about propagating the $digest
call from the parent scope to child scopes.
This happens automatically.
You can create scopes, including the root scope, in tests by having the $rootScope injected into your spec. This allows you to mimic the run-time environment and have full control over the life cycle of the scope so that you can assert correct model transitions. Since these scopes are created outside the normal compilation process, their life cycles must be managed by the test.
The following example demonstrates how the scope life cycle needs to be manually triggered from within the unit-tests.
// example of a test it('should trigger a watcher', inject(function($rootScope) { var scope = $rootScope; scope.$watch('name', function(name) { scope.greeting = 'Hello ' + name + '!'; }); scope.name = 'angular'; // The watch does not fire yet since we have to manually trigger the digest phase. expect(scope.greeting).toEqual(undefined); // manually trigger digest phase from the test scope.$digest(); expect(scope.greeting).toEqual('Hello Angular!'); }
When you find it necessary to inject your own mocks in your tests, use a scope to override the service instances, as shown in the following example.
it('should allow override of providers', inject( function($provide) { $provide.value('$location', {mode:'I am a mock'}); }, function($location){ expect($location.mode).toBe('I am a mock'); } )};


When this checkbox is selected, you can use the “automatic” live template that provides completion lists for the
parameters passed into functions, methods, or class constructors.
To invoke the magic live template, type the params keyword as the first parameter in the call of the function,
method, or class:
IntelliJ IDEA displays a live template where the parameters are automatically completed with the variable names
defined in the function declaration. To move to the next parameter, press Enter or Tab. To
move to the previous parameter, press Shift+Tab.
The completion list contains variables from a local scope in the next order: with the same type, with a similar
name, defined nearby. You can always switch to the usual completion mode by pressing Ctrl+Space or just
typing anything which is not in the list. Variables with similar names are inserted automatically.


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Showing {{(people |orderBy: sort : reverse | filter : search).length}} people


I’m Justen, a Javascript and Elixir developer based in London (happy to work remotely). I love all things code, education, design, travelling and languages. I am a mentor at the Founders & Coders collective and a member of the DWYL freelancer community.
Jan 2018 - present
Full stack developer working mainly on frontend
June 2016 - Jan 2018
Full stack developer working across 2 projects
Nov 2016 - present
Full stack developer working on multiple projects
Nov 2011 - June 2015
Founded an events company that ran in 4 cities around the UK
Elixir, Phoenix, Taychons, Postgres
Dashboard to allow users to contribute easily to open source projects
Node (Express), React, Redux
A platform to allow journalists to create, curate and deliver content easily
Financial Times - Tag Metrics API:
AWS Lambda, Elasticsearch, AWS API Gateway
A high throughput API to provide consumers with articles' tagging metrics (page views for a tag, trending tags, etc...)
Elixir, Taychons
A JSON cv builder that produces mobile-first valid AMP HTML, used to build this CV
Node (Express), AWS Lambda, React, AWS API Gateway
Google funded research project, in conjunction with The Financial Times, into delivering feedback via notifications to improve workflow
Node (Express), React, Alt
Adventure travel platform connecting guides and travellers
University of Bristol
Chemistry, 1st Class Honours
Justen, is a first-class developer with a first-class attitude. I can recommend him without reservation.
Words that comes to mind when I think of Justen: Genuine, natural, talented, can-do, focussed, fast-learner, teacher, humble, patience, quiet, humorous, reliable, punctual, well-spoken, empathetic, caring, team-player, leader. He does not fit any text-book 'personality type'. He is well-rounded, grounded and determined and turns his hand to anything in his pursuit of understanding and overcoming a challenge. He is joy to work with and an asset to any team; I would be delighted to work/learn with him again!


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Pharrell Williams Collaborates With Richard Mille on $969,000 USD RM 52-05 Watch
Limited to 30 pieces.
by Ambrose LeungAfter over a decade of supporting the Richard Mille brand, Pharrell Williams has finally received his official signature watch. The RM 52-05 Tourbillon celebrates Pharrell’s love for space and fascination with the cosmos.
The watch harnesses three main techniques from the watch brand in the form of engraving, enameling, and painting. Looking at the dial, these techniques are applied to an astronaut design where grade 5 titanium is met with white diamonds, black sapphires, 5N gold, and grand-feu-enameling — decorating the space helmet takes 15 hours alone.
The caseback reveals the baseplate and bridge made from Grade 5 titanium (90% titanium, 6% aluminum and 4% vanadium) which is the same material used in the aerospace and aeronautics industry. Looking deeper you will also find dazzling blue aventurine glass that gives off the appearance of stars in the night sky thanks to the inclusion of hexagonal copper crystals.
Powered by a CALIBRE RM52-05, the watch features a fast rotating barrel, a tourbillon, 50 meters of water resistance, 19 jewels, 42 hours of power reserve, and beats at 21,600 VPH. Functionality is kept minimal with only an hour and minutes display; allowing the artwork on the dial to be admired without distractions.
Those interested will have to get in line as this watch is limited to 30 pieces and will most likely be trading much higher than its retail price of $969,000 USD. Head over to Richard Mille for more information.
In other watch news, Ralph Lauren introduces three new versions of the Polo Bear Watch.


[1]
You can hook it up wireless or with a cable.; none so far.
[2]
wifi ethernet plus usb! What a deal.; don't now the cons yet


Suppose that a particular algorithm has
time complexity T(n) = 8n
and that executing an
implementation of it on a particular machine
takes t
seconds for n
inputs. Now
suppose that we are presented with a machine that is 64 times as
fast. How many inputs could we process on the new machine
in t
seconds?
64n
8
2^n
n^2
8n^2
64
8n
64n^2
If the slower computer does S
computations in
time t
, then the faster computer does
64S
computations in time t
.
Assume that the slower computer can solve a problem size of
at most n
in time t
.
This means it makes about
8n = S
computations.
How much bigger size than n
can run in
64S
, given that the growth rate of the
algorithm on input size n
is
T(n) = 8n
?
If 8n \approx S
, then
T(64n) = 64*8n \approx 64S
.


sym_init - compute initial set of states of a module (represented as MDD). The build_trans command must be executed prior to executing this command
sym_init [-v] [-h] <module_name>
The command computes the initial region of a module.
Command Options:
- -v
- verbose mode
- -h
- print usage
Last updated on 1031104 18h39


THE RICH MAN'S WIFE A film review by Ben Hoffman Copyright 1996 Ben Hoffman
There has been very little worth seeing at the movies these past couple of months. Many of them look so much alike you would have difficulty telling them apart. I am talking about the gore, the shooting, the psychos. . . the so-called "thriller."
In RICH MAN'S WIFE, Tony (Christopher McDonald) is "the rich man." Josie Potenza (the beautiful Halle Berry) is his wife whom he neglects though it is hard to know why. Instead he is deep into his many business deals but finds time to be unfaithful. When he gets murdered, Josie is the natural suspect as she has the most to gain, his wealth. First she tells the police one story and then she promises to tell the truth. What are the cops to believe? Josie turns to Jake (Clive Owen) for "comfort." A bad move as he is a friend of a psycho, Cole, (Peter Greene). Cole wants not only to have Josie but to also blackmail her.  Only the names are changed to protect the innocent actors.
Halle Berry is beautiful and Peter Greene is slimy and vicious. It takes more than that to make a good movie.
Written and Directed by Amy Holden Jones
Rating: 1.5 bytes
4 bytes = Superb 3 bytes = Too good to miss 2 bytes = Average 1 byte = Save your money
Ben Hoffman
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


|
ActiveTcl User Guide
|
||
Tcl_UniChar, Tcl_UniCharCaseMatch, Tcl_UniCharNcasecmp, Tcl_UniCharToUtf, Tcl_UtfToUniChar, Tcl_UniCharToUtfDString, Tcl_UtfToUniCharDString, Tcl_UniCharLen, Tcl_UniCharNcmp, Tcl_UtfCharComplete, Tcl_NumUtfChars, Tcl_UtfFindFirst, Tcl_UtfFindLast, Tcl_UtfNext, Tcl_UtfPrev, Tcl_UniCharAtIndex, Tcl_UtfAtIndex, Tcl_UtfBackslash - routines for manipulating UTF-8 strings.
#include <tcl.h>
typedef ... Tcl_UniChar;
int
Tcl_UniCharToUtf(ch, buf)
int
Tcl_UtfToUniChar(src, chPtr)
char *
Tcl_UniCharToUtfDString(uniStr, numChars, dstPtr)
Tcl_UniChar *
Tcl_UtfToUniCharDString(src, len, dstPtr)
int
Tcl_UniCharLen(uniStr)
int
Tcl_UniCharNcmp(uniStr, uniStr, num)
int
Tcl_UniCharNcasecmp(uniStr, uniStr, num)
int
Tcl_UniCharCaseMatch(uniStr, uniPattern, nocase)
int
Tcl_UtfNcmp(src, src, num)
int
Tcl_UtfNcasecmp(src, src, num)
int
Tcl_UtfCharComplete(src, len)
int
Tcl_NumUtfChars(src, len)
CONST char *
Tcl_UtfFindFirst(src, ch)
CONST char *
Tcl_UtfFindLast(src, ch)
CONST char *
Tcl_UtfNext(src)
CONST char *
Tcl_UtfPrev(src, start)
Tcl_UniChar
Tcl_UniCharAtIndex(src, index)
CONST char *
Tcl_UtfAtIndex(src, index)
int
Tcl_UtfBackslash(src, readPtr, dst)
These routines convert between UTF-8 strings and Tcl_UniChars. A Tcl_UniChar is a Unicode character represented as an unsigned, fixed-size quantity. A UTF-8 character is a Unicode character represented as a varying-length sequence of up to TCL_UTF_MAX bytes. A multibyte UTF-8 sequence consists of a lead byte followed by some number of trail bytes.
TCL_UTF_MAX is the maximum number of bytes that it takes to represent one Unicode character in the UTF-8 representation.
Tcl_UniCharToUtf stores the Tcl_UniChar ch as a UTF-8 string in starting at buf. The return value is the number of bytes stored in buf.
Tcl_UtfToUniChar reads one UTF-8 character starting at src and stores it as a Tcl_UniChar in *chPtr. The return value is the number of bytes read from src.. The caller must ensure that the source buffer is long enough such that this routine does not run off the end and dereference non-existent or random memory; if the source buffer is known to be null terminated, this will not happen. If the input is not in proper UTF-8 format, Tcl_UtfToUniChar will store the first byte of src in *chPtr as a Tcl_UniChar between 0x0000 and 0x00ff and return 1.
Tcl_UniCharToUtfDString converts the given Unicode string to UTF-8, storing the result in a previously-initialized Tcl_DString. You must specify the length of the given Unicode string. The return value is a pointer to the UTF-8 representation of the Unicode string. Storage for the return value is appended to the end of the Tcl_DString.
Tcl_UtfToUniCharDString converts the given UTF-8 string to Unicode, storing the result in the previously-initialized Tcl_DString. you may either specify the length of the given UTF-8 string or "-1", in which case Tcl_UtfToUniCharDString uses strlen to calculate the length. The return value is a pointer to the Unicode representation of the UTF-8 string. Storage for the return value is appended to the end of the Tcl_DString. The Unicode string is terminated with a Unicode NULL character.
Tcl_UniCharLen corresponds to strlen for Unicode characters. It accepts a NULL-terminated Unicode string and returns the number of Unicode characters (not bytes) in that string.
Tcl_UniCharNcmp and Tcl_UniCharNcasecmp correspond to strncmp and strncasecmp, respectively, for Unicode characters. They accepts two NULL-terminated Unicode strings and the number of characters to compare. Both strings are assumed to be at least len characters long. Tcl_UniCharNcmp compares the two strings character-by-character according to the Unicode character ordering. It returns an integer greater than, equal to, or less than 0 if the first string is greater than, equal to, or less than the second string respectively. Tcl_UniCharNcasecmp is the Unicode case insensitive version.
Tcl_UniCharCaseMatch is the Unicode equivalent to Tcl_StringCaseMatch. It accepts a NULL-terminated Unicode string, a Unicode pattern, and a boolean value specifying whether the match should be case sensitive and returns whether the string matches the pattern.
Tcl_UtfNcmp corresponds to strncmp for UTF-8 strings. It accepts two NULL-terminated UTF-8 strings and the number of characters to compare. (Both strings are assumed to be at least len characters long.) Tcl_UtfNcmp compares the two strings character-by-character according to the Unicode character ordering. It returns an integer greater than, equal to, or less than 0 if the first string is greater than, equal to, or less than the second string respectively.
Tcl_UtfNcasecmp corresponds to strncasecmp for UTF-8 strings. It is similar to Tcl_UtfNcmp except comparisons ignore differences in case when comparing upper, lower or title case characters.
Tcl_UtfCharComplete returns 1 if the source UTF-8 string src of length len bytes is long enough to be decoded by Tcl_UtfToUniChar, or 0 otherwise. This function does not guarantee that the UTF-8 string is properly formed. This routine is used by procedures that are operating on a byte at a time and need to know if a full Tcl_UniChar has been seen.
Tcl_NumUtfChars corresponds to strlen for UTF-8 strings. It returns the number of Tcl_UniChars that are represented by the UTF-8 string src. The length of the source string is len bytes. If the length is negative, all bytes up to the first NULL byte are used.
Tcl_UtfFindFirst corresponds to strchr for UTF-8 strings. It returns a pointer to the first occurrence of the Tcl_UniChar ch in the NULL-terminated UTF-8 string src. The NULL terminator is considered part of the UTF-8 string.
Tcl_UtfFindLast corresponds to strrchr for UTF-8 strings. It returns a pointer to the last occurrence of the Tcl_UniChar ch in the NULL terminated UTF-8 string src. The NULL terminator is considered part of the UTF-8 string.
Given src, a pointer to some location in a UTF-8 string, Tcl_UtfNext returns a pointer to the next UTF-8 character in the string. The caller must not ask for the next character after the last character in the string.
Given src, a pointer to some location in a UTF-8 string, Tcl_UtfPrev returns a pointer to the previous UTF-8 character in the string. This function will not back up to a position before start, the start of the UTF-8 string. If src was already at start, the return value will be start.
Tcl_UniCharAtIndex corresponds to a C string array dereference or the Pascal Ord() function. It returns the Tcl_UniChar represented at the specified character (not byte) index in the UTF-8 string src. The source string must contain at least index characters. Behavior is undefined if a negative index is given.
Tcl_UtfAtIndex returns a pointer to the specified character (not byte) index in the UTF-8 string src. The source string must contain at least index characters. This is equivalent to calling Tcl_UtfNext index times. If a negative index is given, the return pointer points to the first character in the source string.
Tcl_UtfBackslash is a utility procedure used by several of the Tcl commands. It parses a backslash sequence and stores the properly formed UTF-8 character represented by the backslash sequence in the output buffer dst. At most TCL_UTF_MAX bytes are stored in the buffer. Tcl_UtfBackslash modifies *readPtr to contain the number of bytes in the backslash sequence, including the backslash character. The return value is the number of bytes stored in the output buffer.
See the Tcl manual entry for information on the valid backslash sequences. All of the sequences described in the Tcl manual entry are supported by Tcl_UtfBackslash.
Copyright © 1997 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


5 Steps to a Successful #ResearchDay
19 Apr 2015 tagged in history major problems, research day, researchdayOne of the perks of being a humanities major is the NO FINAL EXAM notice I see on every syllabus. However, that perk comes at a price – the independent research project, of which I currently have three to finish.
Most of my professors, who have been off at conferences over the past two weeks, have graciously offered “research time” in lieu of class, which is supposed to be spent getting all of the necessary materials together so that the paper isn’t as stressful in those last few days.
However, I am the type of person who likes to devote large chunks of time to a project in order to tackle as much of the workload as possible. And so “research time” isn’t very valuable to me when it’s just an hour set aside. But when all of the designated “research time” classes end up on the same day, I’m left with the glorious concept of #ResearchDay.
I’ve had or created a #ResearchDay for myself each semester, and so I’ve somewhat developed a few guidelines to help me have a successful and productive day.
- Environment: I am normally the type of person who can do work anywhere – on a bus or in my room, with the TV on or with complete silence. But on a Research Day, I like to create a very specific environment that has little distractions. For me, that means one of two places: either my desk with headphones providing white noise, or the magnificent DuBois Library, with headphones playing NPR. Note: Everyone has a different environment for productivity.
- Materials: It’s important to bring everything that you need for the day – you’ll be there a while! This includes flash drives, books, notebooks, and music, if you’d like. But make sure you only bring the absolute essentials to your workspace. You don’t want to overload yourself with books or articles and find yourself stressed from the workload.
- Goals: Setting clear and concise goals for your Research Day is key to being successful. Be realistic about what you can accomplish in one day, and make sure it fits into your overall timeline for the semester.
- Break: Now that you have large goals for the day, you should make sure to step back every once in a while so that your workload doesn’t consume you. I like to take five minute breaks between articles and twenty-minute snack breaks before switching projects.
- Celebrate: After a long research day, don’t go home and do more work (as I am prone to do.) Instead, congratulate yourself on a job well done and take the rest of the time as a “me day” and relax. There’s always more work to do, but you have accomplished a lot!
I’m wishing all of you best of luck as we get to the end of the semester!


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