'3BlackChicks Review...'
TITAN A.E. (2000) Rated PG; running time 95 minutes Genre: Animated/SciFi IMDB site: http://us.imdb.com/Details?0120913 Official site: http://www.afterearth.com/ Written by: Ben Edlund, Randall McCormick Directed by: Don Bluth, Gary Goldman Cast: Voices of: Matt Damon, Drew Barrymore, Bill Pullman, Nathan Lane, Janeane Garofalo, John Leguizamo, Tone Loc, Ron Perlman
Review Copyright Rose Cooper, 2000 Review URL: http://www.3blackchicks.com/bamstitan.html
Of all the Chicks in 3BC, I'm the one voted Most Likely To Review A Cartoon. It should come as no surprise, then, that I chose to review TITAN A.E. this week--as opposed to The Diva, whose words on the subject sounded something like "I sure didn't wanna review that mess". Mebbe I shoulda oughta listened to her words of wisdom.
The Story (WARNING: **spoilers contained below**): In the year 3028, a Bad, Bad bunch of aliens known as the Drej [Bad aliens! Bad, Bad aliens!] inexplicably blast the planet Earth, and its inhabitants, away like so many buzzing flies. That would be that--except for the fact that a group of secret...uh, whatever they were...knew the Drej were coming and evacuated a bunch of Earthlings just before the Drej arrived.
One of the secret...whatever they were's, Tucker (Ron Perlman), asks his good buddy Tek (Tone Loc) to take Tucker's young son, Cale (Matt Damon) with him in one of the evacuating ships so that Tucker could go do some Secret Stuff with the Secret Spaceship known as the Titan--knowing he may never see Cale again. Feeling abandoned, Cale grows up with a chip on his shoulder about dear old dad and humans--the few that are left, anyway--in general. Jaded, he feels all the more cynical when another human, Joe Korso (Bill Pullman) shows up with alien shipmates Preed (Nathan Lane), Stith (Janeane Garofalo), Jar-Ja...uh, Gune (John Leguizamo), and the human female slash potential love interest (slash [Luke]Warm Place To Put It), Akima (Drew Barrymore)--with the message that Cale may hold the future of humanity in his hand.
The Upshot: I found this flick pretty hard to wrap my reviewing braincells around, mostly because it never found its legs enough for me to invest any care in what was going on on the screen. It was clearly derivative of many movies, both animated and traditional; in various places, I was reminded of STAR WARS, HEAVY METAL (though HM had a much better musical backbeat; "Titan's" music seemed much more cheesy by comparison), the "Star Trek" movies, and even a Bruce Lee flick or two. But in its lack of developed backstory (in spite of the storyline presented, the viewer is left wondering why much of the action takes place), it put me in mind of the most disasterous collection of moving images of the century: none other than SUPERNOVA [OW! Uh, Sorry about that. I had told my fingers to never type that dreaded name again...]
That's not a very fair comparison, to be sure. Even in its worst moments, "Titan" was nowhere near as galling as "Stupornova". But as with that piece of sh...um, detritus, "Titan" certainly bit off way more than it could chew, story-wise. With this movie's enormous leaps of logic [Uh, how did Cale so easily pilot every spacecraft he encountered? *How long* does it take to rebuild an old, dilapidated ship, again? And why bother putting the Drej speech in subtitles, when obviously Cale Magically understood every word as if Big Poppa Drej spoke perfect English, huh, why? WHY?],
Like their voice counterparts in DINOSAUR, the actors don't add much character to their characters--and unlike DINOSAUR, the actor's voices aren't readily distinguishable (though Nathan Lane, bless his sarcastic lil' heart, gave it ye olde college try). This, I think, was to "Titan's" deficit. After all, Matt Damon and company had to have been paid a pretty penny for their, in essence, voice-overs; if one couldn't tell these highly-paid actors from Joe Schmoe From Kokomo, one would think the producers didn't get their money's worth, eh?
All those things could be forgiven, had the animation been top-notch.  It should've. It wasn't. Worse, it seemed schizophrenic, with the human and alien characters drawn by Bluth in traditional (for him) cartoon style, but the ships, planets, and various backgrounds, obviously computer animated. This gave the movie a disjointed feeling, with the computer animated sections overpowering the traditional drawings (note, for example, how stiff the characters look in the windows of the computer animated spaceships, as if they were stills of dolls sitting in their seats). Anytime the viewer is taken-out-of-the-moment by such jarring revelations, that's most def A Bad Thing.
In spite of everything I've written above, I don't want you, gentle reader, to go away thinking that TITAN A.E. was bad. Spirit-less, lacking in humor, and poorly-thought-out, sure. But not bad. Anything that (ObQuickieBlackFactor) includes even a brief movie moment confirming that Minorities Are Part Of The Future, can't be *that* bad, can it?
Bammer's Bottom Line: It's just too bad TITAN A.E. couldn't make up its mind and go either full-out as traditional animation, or hi-tech CGI sci-fi. Not that it'd make much difference either way, I reckon; it never impressed me as being much more than a half-hearted attempt at wrapping a movie around a soundtrack that'll no doubt sell millions.
TITAN A.E. (rating: yellowlight): On a "Star Trek" comparison scale, this one felt more like the STAR TREK: THE MOTION PICTURE dud than the much-better STAR TREK 2: THE WRATH OF KHAN.
Rose "Bams" Cooper /~\ Webchick and Editor, /','\ 3BlackChicks Review /','`'\ Movie Reviews With Flava! /',',','/`, Copyright Rose Cooper, 2000 `~-._'c / EMAIL<EMAIL_ADDRESS>`\ ( http://www.3blackchicks.com/ /====\
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I am just back from one of the most amazing conferences ever. Most of you might know but just to re-iterate, I was fortunate enough to be selected as a student volunteer at CHI 2017 conference in Denver, Colorado. Later we also made to the top 12 teams who were invited to present their work in the Student Design Competition. CHI stands for Computer-Human Interaction and is one of the oldest gatherings of Interaction Community in the world.
This post broadly describes the experience at the conference. Keep checking for more touristy and observation posts. I am happy to inform that a major part of the conference will be sponsored by Gary Marsden Student development fund. I and my team members- Shilpa and Udayan are grateful to the committee members for considering us for the same.
We landed in Denver on 6th May late night. It was a long journey from Mumbai-New Delhi-London-New York- Denver. It was just in time to attend the SV briefing next day. The conference venue was the Colorado Convention Center, guarded by a giant Blue Bear.
It was about 20min (of slow, exploratory) walk from our Hotel - 11th Avenue. The venue was fantastic and a mid-aged man would always greet you when you walked in like you were the chief guest. But he did that to everyone it seems.
As a volunteer, I had to put in 20 hours in return for awesomeness. In the briefing, Anna and Patrick, the chairs, explained us the gravity and breadth of our work. An important line that kind of sticks was “ SVs are the interface of the conference”. The kind of efforts the chairs put in is commendable. They reply to each and every query any SVs have. Many SVs were not Locals and hence communication is the key to establishing confidence in such cases. After the briefing, a tour of the venue was given and we had to collect our IDs and Tshirts - Orange ones.
Our competition was in the later half of the conference and I spent most of the time doing my SV tasks and attending sessions. The opening plenary was by Prof. Neri Oxman from Media Labs. It was an excellent session in which she presented her work. I was in charge of collecting the audience questions and presenting them for sorting. Neri’s work on reflecting how nature and modern technology can be used to express is amazing. I loved her presentation on the bee project and later the silkworm project. Her work the furthers the limits of modern fabrication is intriguing. She also gave us a sneak peek into some latest projects. Her talk was titled- “Material Ecology”
Over the course of the conference, I was allotted tasks like attending and managing paper sessions, courses, talks and galleries. I was able to attend many paper presentations that I had initially planned. Another great part about being an SV is that you get to attend SV Rockstar Lunches. There we meet industry experts and stars who interact openly with fellow SVs. I had the honour to meet Prof. Hiroshi and Prof. Pattie during these sessions.It was a great experience to talk to them.
Just in case, these are the tasks that were allocated.
I would like to mention that the volunteers were served exceptional food during the conference. The inclusiveness of the menu is worth appreciating as it had plenty for almost all dietary inclinations. It was great having vegetarian food. I am told that this aspect of the volunteering is often envied by other participants.
CHI made it possible for remote attendees to have a first person experience of the conference using these telepresence robots called Beam. It was intriguing to see people with faces on the screen moving around and other people hugging them. Some Beams had personalizations that the original attendees had done. I personally liked one with the Tutu.
There were some great installations presented by participants in the Art Gallery too. It was interesting to see how art, design and technology were amalgamated in an artifact that presents a view point.
There was also a gigantic structure made out of used plastic bottles with 3D printed joinery.
CHI provides a great place to meet people from varied and similar backgrounds, that deepens and expands your perspective.
Now, to the main event, The Student Design Competition.
The theme this year was leveling the playing field. We chose the problem of adoption of modern payment methods like m-wallets and Credit cards in elderly and digitally illiterate users.Our entry to the competition was Paisa Stick.  We studied the conceptual model of money in the user group and made a small device called ‘Paisa stick’.The device is a tangible representation of an actual wallet and operates following the concepts familiar to the users. More on this can be read in the paper here.
This was, in fact, the second round of the competition. The first round required us the submit a research paper and a video explaining the concept. We got great feedback at this stage from anonymous reviewers which helped us improve the project. Our entry was selected from 70 entries who submitted their work. Out of which 12 were called to visit Denver.
The day of the poster presentation came. We were working all night trying to concretize our poster presentation and practice the presentation.
We made Mr.Roy, our stick puppet who we used to explain the concept to the judges.
We were very anxious and nervous. Such amazing projects around us from students around the globe. We explained our project, showed the process and prototype that we developed. The feedback was great. We were shortlisted for the final round of three which would happen next day.
More nervousness followed. We worked tirelessly on the presentation. We knew that we would have to explain the context in great detail for the audience to understand the solution. And we were going first!
The presentation went great. All the team presented their ideas in great depth and all were amazing.
I am delighted to inform that we were selected as the winners for this year’s CHI SDC.
Thanks to Sir Peto a.k.a. Prof. Mario Moreno from Universidad Tecnológica De La Mixteca who encouraged and supported us throughout the conference. Special thanks to Prof. Anirudha and Prof. Girish Dalvi for the guidance and support in writing the paper. Super thanks to our seniors specifically Chandni, Chinmay and Shreya who presented at CHI last year and helped us throughout.
After the competition, my SV duties resumed. I was still quite behind my 20-hour target, but thanks to the allotment on the last day, I was able to put in the hours. The final task was to tear-down the exhibition area. We disassembled the giant plastic structure.
The closing plenary was by the celebrated author, Nicholas Carr. He talked about automation and its impact on the sensitivities of human life. It was titled “Computers, Automation and the Human Future”. The talk was interesting as it rekindled the dilemmas of involving computers to induce automation in tasks that were responsible for developing human sensitivities and skills. I think Nicholas was able to put the point in a very open way. The talk provided an interesting perspective to the HCI community and was a great way to end the conference. This was followed by handing over the baton to the CHI 2018 committee. I loved the overall enthusiasm of the moment.
In the spirit of the brevity of this post, I would like to end by saying that I had a fabulous time at CHI as a volunteer and as a participant. It helped me a lot in understanding the work happening in the domain.
I will certainly try attending CHI whenever it is possible. If anyone has any queries please feel free to contact me via the comments below or via Twitter handle @rohit7gupta.
ありがとう
Rohit
Read moreThis project was done as a part of “Interaction Design - 1” course taught by Prof. Ravi Poovaiah at IDC. The team members were Silpa and Udayan. The live version is hosted here.
Design Brief
The design brief was to come up with a design solution for a local problem. We are asked to come up with a designerly response to things we all face around us. We choose the context of streets and street vendors. In the search engine age, what is not searchable is not there. The street vendors and other microservice providers are often not aware of this ecosystem or do not have the means to do so. They also have a more legacy customer base, which they say is depleting due to online service providers. A shop on ground is better than a page on the cloud. But, these shops are difficult to find for non locals.
Secondary study
We studied various models of streets. There has not been enough work done in the domain of getting local shops online and the problem is of specific importance to Indian context where there is a transition happening as far as ICT is considered. Dominant means include: Sensors, People and Documents.Information may generate insights which can be used to create a feeback that can help sustain the systems. Data gathering is not of huge concern in the west due to already proliferation of phones etc.
Based on famous Stanford paper titled “Twitch Crowd sourcing:Crowd Contributions in Short Bursts of Time” The author argues about micro-contribution and channel factors He lays down his design based on availability, low time, low cog load, Value to the user,feedback, privacy and longevity of experience. Various engaging means of crowd-sourcing information that can be actively contributed or inferred by activities. It is needed to be aligned with users goals and hence a balance of incentive vs motivation should be used. Incentives are not sustainable and motivations are challenging to design.
Gamification has huge possibilities in the domain of crowdsourcing. Several references show that using gamification models in the crowdsourcing domain can result in huge motivation like Pokemon Go and 4Sq have already done.
Primary study
We tried to understand the activities on the street by conducting a field study in powai and kurla regions.
In our study we noticed how adoption of digital means is affecting sales. This is a street fruit vendor who accepts cards and has a website. He offers services like delivery and online shopping. He prices his goods higher than other vendors and still is able to make decent profits.
After the field study, we collected our findings in a mind-map.
We also asked ourselves some questions based on what we observed.
Finally, we came up with a problem concept map to crystallize the situation on the street.
We came up with the modified brief of “How might we help micro level data of local shops using principles of participatory GIS?” We planned on structuring the system such that we require less input from more users as opposed to asked more questions from less users. This would be our solution map.
We imagined the following persona’s that would use our system.
Hence, our system was divided into two verticals. One vertical would concentrate on helping people search local data and other vertical would help gamify the collection of data points from crowd.
The UI walkthrough for the web interface (by Udayan) is as follows:
The UI walkthrough for the Local game app (by Silpa) is as follows:
We allowed multiple users to rate the same activity and asked multiple users different questions to ascertain attributes of a particular location.
Some UI samples
Prototype
We went forward to create an implementation of the actual system. The architecture was as follows:
We used a python based service that would scan accounts of particular members on instagram and classify tags. These tags were then used to plot the same as tool tips on a mapbox render. The same was updated realtime on an amazon s3 server here.
Contributions The project was done with Silpa and Udayan.
Cheers,
Rohit
Read moreI wake up the dawn,
from its quiet shambles.
Like a wanderer on road,
With his screechy corners.
The world lays lost,
in the dreams they believe .
I sit there awake,
dreaming to believe.
The wind i feel,
sweeps me away.
In its gusts it follows me,
To the worlds i never foray.
Sometimes i feel,
I should have said.
Those words i had,
she might have read.
May be it was a sad,
that those winds never blew.
May be it was great,
those things i never drew.
There will be a dawn soon,
to help us with the light.
To give us all the hope,
and bless us with the might.
Until that dawn,
I have to wait.
Search in the world,
and try my fate.
A day may come,
when I wake the dawn.
Welcoming a new world,
Then I shall carry-on.
Cheers,
Rohit
Read more


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Total Plays:
Total Complete Listens:
% of songs first listened (Global):
% of songs first listened (by User):


Buttons trigger actions when clicked.
Buttons style communicate three major intents: primary is for actions such as saving work or proceeding to the next step; accent indicates an alternative to the primary action; warn is for actions that can't be reverted, like deleting a account or a task.


Titanic is two movies stitched together: a swoony teenage fantasy for the ages, and a massive disaster movie that rivals any disaster movie to come out of Hollywood either before or since. The lengthy runtime makes perfect sense by this rubric, and you can see the seam where the movie pivots from one to the other, almost exactly at the halfway mark. That Titanic is two movies in one is part of its genius: If it were just the romance, it might have been written off as a “movie for girls,” but then there’s this whole other disaster element too. From a marketing perspective, that’s gold.
I fell hard for the romance. It’s right in line with some of the most time-honored star-crossed lover tropes that literature has ever served up. Rose is engaged to a cruel man whom she’s only marrying to save her family’s fortune, squandered by a profligate father; Jack is an artist and a free spirit who falls in love with her instantly and shows her what freedom could feel like. The film’s framing device ensures that we know the rough outlines of his fate and hers, but somehow Titanic keeps our attention regardless.
What’s compelling is the fantasy, of being loved for who you are by someone who doesn’t want anything other than to love you — someone who would rather literally die than let you experience a living death. It fulfills the human desire, as Ebert put it, to be cherished, the experience of having someone look at you as if you fill their whole field of vision and spill over the edges.
I finally understood why my peers were so dedicated to Leonardo DiCaprio. It’s not just his looks, though boyish charm never hurt anyone (he was 22 when he shot the film, and Kate Winslet was 21). Watching him act is pure pleasure: He’s natural and unaffected, and his grin says everything. I also understood why Titanic launched Winslet into stardom. In an over-the-top role, she was equal parts heroine, rebel, and action star all at once, and her laugh was infectious.
Finally, I understood why so many people went back again and again to see the movie. It’s big and loud. There are gorgeous dresses and soft-focus moments and a below-deck dance party I never really wanted to stop. There’s tragedy and there’s comedy and there’s drama and despair, and everything looks so phenomenally, exorbitantly epic — in the realest sense of the word — that watching it feels like living through something, like having the pieces of your emotional furniture get pushed around.


WITNESS LIST Elections Committee February 7, 2001-2:00P HB 2 For: Blizzard, Mike (Self) Gaston, James (Texas Democratic Party) Lewis, Fred (Campaigns for People) McDonald, Craig (Texans for Public Justice) Patterson, Jerry (Campaigns for People) Sehneider, Robin (Texas Campaign for the Environment) Smith, Clinton (Self) Woodford, Suzy (Self and Common Cause Texas) On: Anderson, Kenneth (Republican Party of Texas) Jackson III, Guy C. (Texas Democratic County Chairs Association) Opett, Jon (Citizens against Lawsuit Abuse) Registering, but not testifying: For: Baker, Roger (Self) Barkan, Maxine (League of Women Voters of Texas) Bower, Bruce (Texas Senior Advocacy Coalition) Crossley, Cecilia (Self) Daly, Richard (Texas Catholic Conference) Dieter, Alison (Gray Panthers) Erwin, Catherine (Self and Bastrop Co. Green Party) Flynn, Charlotte (Gray Panthers of Texas) Johnson, Shirley A. (Self) Lancaster, Rose (Austin Area Interreligious Ministries) Manz, Carl (Self and Bastrop County Green Party) Moorhead, Bee (Texas Impact) Richardson, Fred (Sierra Club, Lone Star Chapter) Schilz, Virginia K. (Capitol Area Progressive Democrats) Whalen, Ken (Texas Dailey Newspaper Association) Against: Hammerlein, George (Paul Bettencourt, Harris Co. Tax Office)


---
layout: misc
title: Contact
---
{% include_relative businesscard.html %}
Look at that subtle off-white colouring. The tasteful thickness of it. Oh my God, It even has a watermark.
Alright, so listen... Why don't you give me a call when you want to start taking things a little more seriously? Here's my card.


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Lab 2: Beer’s Law and Molar Extinction Coefficients¶
Background and Objectives¶
Colorimeters (and spectrophotometers) measure absorbance of light of a specific wavelength by a solution. Absorbance values can be used to determine the concentration of a chemical or biological molecule in a solution using the Beer-Lambert Law (also known as Beer’s Law). Beer’s Law states that absorbance of a sample (Abs) depends on the molar concentration (c), light path length in centimeters (l), and molar extinction coefficient (ε) for the dissolved substance at the specified wavelength (λ) [1].
\mathrm{Absorbance} = \varepsilon \times c \times l
An example of a Beer’s Law plot (concentration versus absorbance) is shown below. The slope of the graph (absorbance over concentration) equals the molar absorptivity coefficient, ε x l. The objective of this lab is to calculate the molar extinction coefficients of three different dyes from their Beer’s Law plot.
Food dyes are used to color a variety of food products such as sweets, cereal and sports drinks and are often used in high school and undergraduate labs [2]. The 3 dyes used in this lab were chosen as they absorb in the range of the colorimeter LED wavelengths.
Erythrosin B
Erioglaucine
Sunset Yellow
Materials¶
The following list of materials is required for this lab.
- Assembled Educational Colorimeter kit from Lab 1
- Powdered food dyes erythrosin B, erioglaucine and sunset yellow
- Analytical scale
- 3 x 250 mL volumetric flasks
- 15 x test tubes (>5 mL)
- 1 mL fixed volume pipette
- 16 x cuvettes
- Water
Methods¶
This lab uses the Educational Colorimeter Plotting program.
Step 1: Prepare 1 mM stock of dyes¶
- Erythrosin B (FW: 879.86): e.g. 0.218 g in 250 mL distilled water
- Erioglaucine (FW: 792.85): e.g. 0.198 g in 250 mL distilled water
- Sunset Yellow (FW:452.37): e.g. 0.113 g in 250 mL distilled water
Step 2: Preparation of working stocks¶
Dilute the 1 mM stock solutions as shown in the Table below using a 250 mL volumetric flask. Label these flasks working stock;
| Dye | Volume of 1 mM stock | Concentration of working stock |
|---|---|---|
| Erythrosin B | 1 mL in 250 mL | 4.00 µM |
| Erioglaucine | 2.5 mL in 250 mL | 10.00 µM |
| Sunset Yellow | 10 mL in 250 mL | 40.00 µM |
Step 3: Preparation of standard curve¶
For each of the 3 dyes, prepare a series of standard curve dilutions as shown in the Table below using the test tubes. Label tubes #1-5 for each dye;
| Tube # | Volume of working stock | Erythrosin B | Erioglaucine | Sunset Yellow |
|---|---|---|---|---|
| 1 | 1 mL + 4 mL H2O | 0.8 µM | 2 µM | 8 µM |
| 2 | 2 mL + 3 mL H2O | 1.6 µM | 4 µM | 16 µM |
| 3 | 3 mL + 2 mL H2O | 2.4 µM | 6 µM | 24 µM |
| 4 | 4 mL + 1 mL H2O | 3.2 µM | 8 µM | 32 µM |
| 5 | 5 mL + 0 mL H2O | 4.0 µM | 10 µM | 40 µM |
Step 4: Measure absorbance with the colorimeter and plot data¶
- Launch the colorimeter plotting program. Calibrate the device with a cuvette containing water.
- Starting with erythrosin B, measure the absorbance for each standard curve solution with the appropriate color channel [3], and enter the corresponding erythrosin B concentration in the program plotting table;
- Once all the samples are measured, click on the “Plot” button. Record values for the slope in Table 3.
- Repeat measurements for erioglaucine and sunset yellow.
| Dye | Color channel/wavelength | Plotted Slope (µM vs. Abs) | Molar extinction coefficient | Reported value |
|---|---|---|---|---|
| Erythrosin B | Green/528 nm | 0.056 | 56,000 M-1 cm-1 at 528 nm | 82,500 (524-528 nm) |
| Erioglaucine | Red/625 nm | 0.098 | 98,000 M-1 cm-1 at 625 nm | 80,000 (627-637 nm) |
| Sunset Yellow | Blue/470 nm | 0.020 | 20,000 M-1 cm-1 at 470 nm | 20,000 (479-485 nm) |
Sample Data¶
Image of cuvettes with 3 different food dye standard curves
Sample data - Erioglaucine standard curve
Footnotes
| [1] | Path length (distance that light travels through the solution) is determined by the cuvette that the sample is placed in. Most colorimeters and spectrophotometers, including the one in this kit, use cuvettes with a path length of 1 cm. Molar extinction coefficient is a measure of how strongly a substance absorbs light at a particular wavelength, and is usually represented by the unit M-1 cm-1 or L mol-1 cm-1. |
| [2] | For example: Sigman and Wheeler 2004, J. Chemical Education 81 (10): 1475-1478; Henary and Russell, 2007, J. Chemical Education 84 (3) 480-482. |
| [3] | To verify which color channel to use for each dye you can measure absorbance at all 3 wavelengths as described in Lab 1. |


Ben Ferriman
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curl -g '<IP_ADDRESS>:8000/locations/?intersects={"type":"Polygon","coordinates":[30.231632774762375,-97.79565811157227, 30.191431221535417, -97.86586761474611]}'


Remove duplicate values from an array. Fastest ES5 implementation.
Install with npm:
$ npm install --save array-unique
var unique = require('array-unique');
var arr = ['a', 'b', 'c', 'c'];
console.log(unique(arr)) //=> ['a', 'b', 'c']
console.log(arr) //=> ['a', 'b', 'c']
/* The above modifies the input array. To prevent that at a slight performance cost: */
var unique = require("array-unique").immutable;
var arr = ['a', 'b', 'c', 'c'];
console.log(unique(arr)) //=> ['a', 'b', 'c']
console.log(arr) //=> ['a', 'b', 'c', 'c']
Pull requests and stars are always welcome. For bugs and feature requests, please create an issue.
(This document was generated by verb-generate-readme (a verb generator), please don't edit the readme directly. Any changes to the readme must be made in .verb.md.)
To generate the readme and API documentation with verb:
$ npm install -g verb verb-generate-readme && verb
Install dev dependencies:
$ npm install -d && npm test
Jon Schlinkert
Copyright © 2016, Jon Schlinkert. Released under the MIT license.
This file was generated by verb-generate-readme, v0.1.28, on July 31, 2016.


chest pain due to transient myocardial ischamia
relieved by rest or sublingula nitroglycerin
Management
-
most important intervention = smoking cesastion
-
weight loss not shown to increase survival
medications
-
aspirin
-
NNT 42 - ISIS2
-
given routinely and continued for life
-
-
ticagrelor
-
clopidogrel
-
effective alternative
-
often in combination = 1yr
-
75mg
-
-
Warfarin
-
AF/PAF
-
large left ventricular aneurysm
-
thrombus in LV at infarction site on ECHO
-
systemic embolism
-
INR 2.5 (2-3)
-
-
Betablockers
-
NNT 143; ISIS1
-
considered for everyone unless CI
-
also with LV dysfunction
-
initial dose low
-
give at night
-
reduce risks of postural hypotension
-
alleviate symptoms of tiredness and lethargy
-
-
before discontinuing beta-blockers because of side-effects, lower dose or alternative betablocker should be tried
-
-
ACEi
-
NNT 22 - SOLVD
-
should be considred
-
especially:
-
ant. infarct/
-
LV dysfucntion
-
CHF
-
-
PROGRESS/HOPE
- favourable outcomes independent of a blood pressure effect post MI
-
-
Statins
-
NNT 33 - CARE
-
should be started after MI
-
-
CCB
-
rate limiting non-dihydropyridine CCB
-
verapamil
-
diltiazem
-
-
-
Nitrates
-
symptom relief
-
not indicated for reducing risk of further events
-


| assign_class {gtsummary} | R Documentation |
Some packages append non-base classes to data frame columns, e.g.
if data is labeled with the Hmisc
package the class of a string will
be c("labelled", "character")
rather than c("character")
only. This
simple function extracts the base R class.
assign_class(data, variable)
data |
data frame |
variable |
string vector of column names from data |
Daniel D. Sjoberg


[§448H-10] Penalties. Any person who violates this chapter shall be fined not more than $500 for a first offense. For each subsequent offense the person shall be fined not more than $1,000, or imprisoned not more than one year, or both. [L 1971, c 190, pt of §1; gen ch 1985]


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A binding created from converting a bound instance to a new type. |
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SideCar
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Go to the source code of this file.
Data Structures | |
| class | SideCar::GUI::QtMonitor |
| Concrete implementation of the Monitor class that relies on QSocketNotifier object to determine when a Transaction object has data available for processing. More... | |
| class | SideCar::GUI::QtMonitorFactory |
Namespaces | |
| Logger | |
| Namespace for the Log logging device and support classes. | |
| SideCar | |
| Namespace for all entities specific to the 331 SideCar project. | |
| SideCar::GUI | |
| Namespace for the GUI applications. | |


001package io.avaje.inject; 002 003/** 004 * Used to explicitly specify if it depends on externally provided beans or provides. 005 * 006 *
External dependencies
 007 *
 008 * Use {@code requires} to specify dependencies that will be provided externally. 009 * 010 *
{@code 011 * 012 * // tell the annotation processor Pump and Grinder are provided externally 013 * // otherwise it will think we have missing dependencies at compile time 014 * 015 * @InjectModule(requires = {Pump.class, Grinder.class}) 016 * 017 * }
 018 * 019 *
Custom scope depending on another scope
 020 *
 021 * When using custom scopes we can have the case where we desire one scope to depend 022 * on another. In this case we put the custom scope annotation in requires. 023 *
 024 * For example lets say we have a custom scope called {@code StoreComponent} and that 025 * depends on {@code QueueComponent} custom scope. 026 * 027 *
{@code 028 * 029 * @Scope 030 * @InjectModule(requires = {QueueComponent.class}) 031 * public @interface StoreComponent { 032 * } 033 * 034 * 035 * }
 036 */ 037public @interface InjectModule { 038 039 /** 040 * Explicitly specify the name of the module. 041 */ 042 String name() default ""; 043 044 /** 045 * Explicitly define features that are provided by this module and required by other modules. 046 *
 047 * This is used to order wiring across multiple modules. Modules that provide dependencies 048 * should be wired before modules that require dependencies. 049 */ 050 Class<?>[] provides() default {}; 051 052 /** 053 * The dependencies that are provided externally or by other modules and that are required 054 * when wiring this module. 055 *
 056 * This effectively tells the annotation processor that these types are expected to be 057 * provided and to not treat them as missing dependencies. If we don't do this the annotation 058 * processor thinks the dependency is missing and will error the compilation saying there is 059 * a missing dependency. 060 */ 061 Class<?>[] requires() default {}; 062 063 /** 064 * Internal use only - identifies the custom scope annotation associated to this module. 065 *
 066 * When a module is generated for a custom scope this is set to link the module back to the 067 * custom scope annotation and support partial compilation. 068 */ 069 String customScopeType() default ""; 070 071}


Available Parameters¶
The driver needs a parameters file to run. In these files, there is support for many features related to diagnostics.
Given a command like python run_script.py -d param.cfg
, the
parameters in run_script.py
and in params.cfg
will overwrite any predefined values in all runs.
Parameters for diagnostics¶
The parameters below are ones related to test/reference specifications related to file I/O.
case_id: The name of the folder where the results (plots and nc files) will be stored for a single run. ex:
results_dir/case_id
debug: If
True
, stops running all of the diagnostics on the first failure. IfFalse
(the default), all errors are caught and ignored. If there was an error and a plot could not be created, there’s a ‘—’ for that set of parameters in the viewer.reference_data_path [REQUIRED]: Path to the reference (obs) data. If there are multiple datasets in the path, use
ref_name
parameter to specify which dataset should be used.ref_name: The particular sub-directory of
reference_data_path
that the reference data is in. Used to locate the reference data. This doesn’t need to be defined if you’re runningmodel_vs_model
ormodel_vs_obs
. In the built-in parameters files for these, theref_name
is already defined.results_dir [REQUIRED]: The name of the folder where all runs will be stored.
run_type: The supported run type for the diagnostics. Possible options are:
'model_vs_obs'
(by default),'model_vs_model'
, or'obs_vs_obs'
.save_netcdf: Set to
True
if you want the reference, test, and difference data saved. Default isFalse
.no_viewer: Set to
True
to not generate a Viewer for the results. DefaultFalse
.test_data_path [REQUIRED]: Path to the test (model) data.
test_name: The name of the test (model output) file. It should be a string matches the model output name, for example
'20161118.beta0.FC5COSP.ne30_ne30.edison'
.
These variables are used for handling timeseries data.
ref_end_yr: The end year for the reference data.
ref_start_yr: The start year for the reference data.
ref_timeseries_input: Set to
True
if theref
data is in timeseries format. DefaultFalse
. IfTrue
, bothref_start_yr
andref_end_yr
must also be set.test_end_yr: The end year for the test data.
test_start_yr: The start year for the test data.
test_timeseries_input: Set to
True
if thetest
data is in timeseries format. DefaultFalse
. IfTrue
, bothtest_start_yr
andtest_end_yr
must also be set.
The parameters below are for running the diagnostics in parallel using multiprocessing or distributedly.
distributed: Set to
True
to run the diagnostics distributedly. It’sFalse
by default.multiprocessing
anddistributed
cannot both be set toTrue
. A Dask cluster needs to be up and running. You’ll probably never use this.multiprocessing: Set to
True
to use multiprocessing. It’sFalse
by default.multiprocessing
anddistributed
cannot both be set toTrue
.num_workers: Used to define the number of processes to use with either
multiprocessing
ordistributed
. If not defined, it is defaulted to4
. Ex:num_workers = 8
The parameters below are related to the actual climate-related functionality of the diagnostics.
plevs: A list of pressure levels to use. Ex:
plevs=[850.0, 200.0]
.regions: A list of regions. Default is
['global']
. See default_regions.py for a list of possible regions. Ex:regions=["global", "TROPICS"]
.regrid_method: What regird method of the regrid tool to use. Possible values are
'linear'
or'conservative'
. Default is'conservative'
. Read the CDMS documentation for more information.regrid_tool: The regrid tool to use. Default is
'esmf'
.seasons: A list of season to use. Default is annual and all seasons:
['ANN', 'DJF', 'MAM', 'JJA', 'SON']
.sets: A list of the sets to be run. Default is all sets:
['zonal_mean_xy', 'zonal_mean_2d', 'meridional_mean_2d', 'lat_lon', 'polar', 'area_mean_time_series', 'cosp_histogram', 'enso_diags', 'qbo', 'streamflow','diurnal_cycle']
.variables: What variable(s) to use for this run. Ex:
variables=["T", "PRECT"]
.
Parameters for plotting¶
The figure below is an sample output. We use this to described what each plotting parameter does.
Below are general plotting-related parameters.
arrows: Is either
True
(default value) orFalse
and will accordingly show or hide the arrows on the legend for all of the graphs.backend: May be set to
'cartopy'
or'mpl'
(the default) or'matplotlib'
, all of which result in the Matplotlib/Cartopy backend being used.contour_levels: The levels on the legend of the test and reference plot. It’s
[0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16]
in the image. Default is[]
.dpi: Figure resolution for Matplotlib. Default is
150
.figsize: Figure size (WxH, inches) for Matplolib figures. Default is
[8.5, 11.0]
.main_title: Main title of the image. It’s
"PRECT ANN global"
in this example, which is automatically generated by E3SM Diagnostics. You can definemain_title
to change this.output_format: A list of formats that you want the plot to be output to. Can be something like
['png', 'pdf', 'svg'].
Default is['png']
.output_format_subplot: File format to save figures for individual panel plots. If not defined or
[]
(the default), no plots are saved. Possible values are['png', 'pdf', 'svg']
.plot_log_plevs: For the
'zonal_mean_2d'
and'meridional_mean_2d'
sets, log-scale the y-axis.plot_plevs: For the
'zonal_mean_2d'
and'meridional_mean_2d'
sets, plot the pressure levels.
The parameters below are for each of the three plots (test
,
reference
, and diff
) in the image.
short_test_name: an optional short name that users specify to be shown on the diagnostics figure. It’s
'beta0.FC5COSP.ne30'
in the example figure. If not specified, the value in thetest_name
parameter will be shown.test_colormap: If not defined in the parameters, the default value is
'cet_rainbow.rgb'
. It’s'WhiteBlueGreenYellowRed.rgb'
in the image above. Matplotlib colormaps are supported. Users can even use colormaps located in acme_diags/plot/colormaps, by referencing them by the filename (ex:'cet_rainbow.rgb'
). Also, setting path to a custom.rgb
file is supported.test_name: Optional text to be specified by the users to be printed upper left above the test figure.
test_title: The title for the test plot. It’s
"Test Title"
in the image (upper central texts above the test (model) figure) and is blank by default.test_units: The units that are on the top-right of the test plot. It’s
"mm/day"
in the image. If not defined, it automatically gets the units from the test data.
The reference
and diff
plots also have the same keywords which
are semantically the same for their respective plots. Below are the
values they hold for the image above.
Reference:
reference_colormap: If not defined in the parameters, the default value is
'cet_rainbow.rgb'
. It’s'WhiteBlueGreenYellowRed.rgb'
in the image above. Matplotlib colormaps are supported. Users can even use colormaps located inacme_diags/plot/colormaps/
, by referencing them by the filename (ex:'cet_rainbow.rgb'
). Also, setting paths to a custom.rgb
file is supported.reference_name: Optional text to be specified by the users to be printed upper left above the ref figure.
reference_title:
"Reference Title"
in the image (upper central texts above the reference (obs) figure) and is blank by default.reference_units:
"mm/day"
in the image. If blank, it automatically gets the units from the reference data.short_ref_name: an optional short name that users specify to be shown on the diagnostics figure. It’s
'GPCP'
in the example figure. If not specified, the value in thereference_name
parameter will be shown.
Diff:
diff_colormap: Is
'BrBG'
in the image above and'diverging_bwr.rgb'
by default. Matplotlib colormaps are supported. Users can even use colormaps located inacme_diags/plot/colormaps/
, by referencing them by the filename (ex:'cet_rainbow.rgb'
). Also, paths to a custom.rgb
file is supported.diff_name: Optional text to be specified by the users to be printed upper left above the diff figure.
diff_levels:
[-5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5]
in the image. Default is[]
.diff_title:
"Test - Reference"
in the image (upper central texts above the diff figure). If blank, the default is'Model - Observation'
.diff_units:
"mm/day"
in the image. If blank, it automatically gets the units from the test - reference data.
Set-specific parameters¶
Several Diagnostics sets have their own set-specific parameters.
'area_mean_time_series'
:
end_yr [REQUIRED]: The end year for the data.
ref_names: Used to specify reference data.
ref_timeseries_input: Set to
True
if theref
data is in timeseries format. DefaultTrue
.start_yr [REQUIRED]: The start year for the data.
test_timeseries_input: Set to
True
if thetest
data is in timeseries format. DefaultTrue
.
'diurnal_cycle'
:
normalize_test_amp: Normalize the test and ref amplitude.
print_statements: Print debugging statements. Default
False
.ref_timeseries_input: Set to
True
if theref
data is in timeseries format. DefaultFalse
.test_timeseries_input: Set to
True
if thetest
data is in timeseries format. DefaultFalse
.
'enso_diags'
:
end_yr: The end year for the data.
nino_region: The NINO region to use. May be
'NINO3'
, or'NINO34'
(the default) or'NINO4'
.plot_type: The plot type. May be
map
(the default) orscatter
.print_statements: Print debugging statements. Default
False
.ref_end_yr: The end year for the reference data.
ref_start_yr: The start year for the reference data.
ref_timeseries_input: Set to
True
if theref
data is in timeseries format. DefaultTrue
.start_yr: The start year for the data.
test_end_yr: The end year for the test data.
test_start_yr: The start year for the test data.
test_timeseries_input: Set to
True
if thetest
data is in timeseries format. DefaultTrue
.
You can specify both test_start_yr
and ref_start_yr
or just start_yr
.
You can specify both test_end_yr
and ref_end_yr
or just end_yr
.
'meridional_mean_2d'
:
plevs: Pressure levels. Default is
numpy.logspace(2.0, 3.0, num=17).tolist()
.plot_log_plevs: Log-scale the y-axis. Default
False
.plot_plevs: Plot the pressure levels. Default
False
.
'qbo'
:
end_yr: The end year for the data.
print_statements: Print debugging statements. Default
False
.ref_end_yr: The end year for the reference data.
ref_start_yr: The start year for the reference data.
ref_timeseries_input: Set to
True
if theref
data is in timeseries format. DefaultTrue
.start_yr: The start year for the data.
test_end_yr: The end year for the test data.
test_start_yr: The start year for the test data.
test_timeseries_input: Set to
True
if thetest
data is in timeseries format. DefaultTrue
.
You can specify both test_start_yr
and ref_start_yr
or just start_yr
.
You can specify both test_end_yr
and ref_end_yr
or just end_yr
.
'streamflow'
:
end_yr: The end year for the data.
gauges_path: Specify the path to the streamflow gauge data. Required if
run_type
ismodel_vs_model
.main_title_annual_map: The title of the annual streamflow map. Default
'Mean Annual Streamflow Map'
.main_title_annual_scatter: The title of the annual streamflow scatter plot. Default
'Mean Annual Streamflow Scatter Plot'
.main_title_seasonality_map: The title of the seasonality map. Default
'Seasonality Map'
.max_num_gauges: Only process the first
max_num_gauges
gauges – useful for debugging. WhenNone
(the default), all gauges are processed.output_file_annual_map: The file name of the annual streamflow map. Default
'annual_map'
.output_file_annual_scatter: The file name of the annual streamflow scatter plot. Default
'annual_scatter'
.output_file_seasonality_map: The file name of the seasonality map. Default
'seasonality_map'
.print_statements: Print debugging statements. Default
False
.ref_end_yr: The end year for the reference data.
ref_start_yr: The start year for the reference data.
ref_timeseries_input: Set to
True
if theref
data is in timeseries format. DefaultTrue
.start_yr: The start year for the data.
test_end_yr: The end year for the test data.
test_start_yr: The start year for the test data.
test_timeseries_input: Set to
True
if thetest
data is in timeseries format. DefaultTrue
.
You can specify both test_start_yr
and ref_start_yr
or just start_yr
.
You can specify both test_end_yr
and ref_end_yr
or just end_yr
.
'zonal_mean_2d'
:
plevs: Pressure levels. Default is
numpy.logspace(2.0, 3.0, num=17).tolist()
.plot_log_plevs: Log-scale the y-axis. Default
False
.plot_plevs: Plot the pressure levels. Default
False
.
Other parameters¶
dataset: Default is
''
.granulate: Default is
['variables', 'seasons', 'plevs', 'regions']
.selectors: Default is
['sets', 'seasons']
. See Using the selectors parameter.viewer_descr: Used to specify values in the viewer. Default
{}
.
Deprecated parameters¶
canvas_size_h: Height of the image in pixels and only used by vcs. Is
1628
by default.canvas_size_w: Width of the image in pixels and only used by vcs. Is
1212
by default.logo:
True
(default value) to show the UV-CDAT logo on the vcs backend,False
to not. Just keep it on please.


Bitcoin Wallet Generator
Caution:
Do not use this wallet for actual purposes. All results are logged.
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Public Address:
Private Key:
Current Balance:


Processing Returned Metadata Results
Processing returned metadata results is pretty straight-forward—objects returned can be traversed and accessed like any other objects. However, there are three things about returned results you need to be aware of:
- Needs decision—A result could require an additional decision from an application or end user.
- Full or partial results—A result object could contain full or partial metadata
- Locale-dependent data—Some metadata requires that a locale be loaded.
Needs Decision
Top-level response classes—GnResponseAlbums
, GnResponseTracks
, GnResponseContributors
, GnResponseDataMatches
—contain a "needs decision" flag. In all cases, Gracenote returns high-confidence results based on the identification criteria; however, even high-confidence results could require additional decisions from an application or end user. For example, all multiple match responses require the application (or end user) make a decision about which match to use and process to retrieve its metadata. Therefore, the GNSDK flags every multiple match response as "needs decision".
A single match response can also need a decision. Though it may be a good candidate, Gracenote could determine that it is not quite perfect.
In summary, responses that require a decision are:
- Every multiple match response
- A single match response that Gracenote determines needs a decision from the application or end user, based on the quality of the match and/or the mechanism used to identify the match (such as text, TOC, fingerprints, and so on).
Example needs decision check (C++):
GnResponseAlbums response = music_id.FindAlbums(albObject); needs_decision =response.NeedsDecision(); if(needs_decision) { /* Get user selection. Note that is not an SDK method */ user_pick = doMatchSelection(response); }
Objective-C:
/* Perform the query */ GnResponseAlbums *response = [musicId findAlbumsWithGnDataObject:dataAlbum error:&error]; if ( [[response albums] allObjects].count != 0) { needsDecision = [response needsDecision]; /* See if selection of one of the albums needs to happen */ if (needsDecision) { // Get User selection. Note that is not an SDK method choiceOrdinal = [self doMatchSelection:response]; } // ... }
Full and Partial Metadata Results
A query response can return 0-n matches. As indicated with a fullResult
flag, a match can contain either full or partial metadata results. A partial result is a subset of the full metadata available, but enough to perform additional processing. One common use case is to present a subset of the partial results (for example, album titles) to the end user to make a selection. Once a selection is made, you can then do a secondary query, using the partial object as a parameter, to get the full results (if desired).
Example followup query (C++):
/* Get first match */ GnAlbum album = response.Albums().at(0).next(); bool fullResult = album.IsFullResult(); /* If partial result, do a follow-up query to retrieve full result */ if (!fullResult) { /* Do followup query to get full data - set partial album as query input. */ GnResponseAlbums followup_response = music_id.FindAlbums(album); /* Now our first album has full data */ album = followup_response.Albums().at(0).next(); }
Objective-C:
GnAlbum *album = [[[response albums] allObjects] objectAtIndex:choiceOrdinal]; BOOL fullResult = [album isFullResult]; /* if we only have a partial result, we do a follow-up query to retrieve the full album */ if (!fullResult) { /* do followup query to get full object. Setting the partial album as the query input. */ GnResponseAlbums *followupResponse = [musicId findAlbumsWithGnDataObject:dataAlbum error:&error]; /* now our first album is the desired result with full data */ album = [[followupResponse albums] nextObject]; // ... }
Note: In many cases, the data contained in a partial result is more than enough for most users and applications. For a list of values returned in a partial result, see the Data Model in the GNSDK API Reference.
Locale-Dependent Data
GNSDK provides locales as a convenient way to group locale-dependent metadata specific to a region (such as Europe) and language that should be returned from the Gracenote service. A locale is defined by a group (such as Music), a language, a region and a descriptor (indicating level of metadata detail), which are identifiers to a specific set of lists in the Gracenote Service.
There are a number of metadata fields that require having a locale loaded. For more information, see Loading a Locale.


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| def | __init__ |
| def | app |
| def | namespace |
| def | kind |
| def | ancestor |
| def | filter_predicate |
| def | order |
| def | group_by |
| def | __repr__ |
| def | run_async |
| Public Member Functions inherited from google.appengine.datastore.datastore_query._BaseQuery | |
| def | run |
| def | run_async |
| def | __getstate__ |
| Public Member Functions inherited from google.appengine.datastore.datastore_query._BaseComponent | |
| def | __eq__ |
| def | __ne__ |
An immutable class that represents a query signature. A query signature consists of a source of entities (specified as app, namespace and optionally kind and ancestor) as well as a FilterPredicate, grouping and a desired ordering.
| def google.appengine.datastore.datastore_query.Query.__init__ | ( | self, | |
app = None , |
|||
namespace = None , |
|||
kind = None , |
|||
ancestor = None , |
|||
filter_predicate = None , |
|||
group_by = None , |
|||
order = None |
|||
| ) |
Constructor. Args: app: Optional app to query, derived from the environment if not specified. namespace: Optional namespace to query, derived from the environment if not specified. kind: Optional kind to query. ancestor: Optional ancestor to query, an entity_pb.Reference. filter_predicate: Optional FilterPredicate by which to restrict the query. order: Optional Order in which to return results. group_by: Optional list of properties to group the results by. Raises: datastore_errors.BadArgumentError if any argument is invalid.


Definition: An individual (or more) succeeds in reaching a pre-determined destination before all other individuals, without vehicle assistance or assistance of a horse or other animal.
Explication: Racing generally involves accomplishing a task in less time than other competitors. The ONLY type of racing considered relevant for the purposes of this event is the type where the task is traveling to a destination, completed by a person(s) without assistance of a vehicle or animal. Different types of races involve different types of human locomotion, such as running, jumping, crawling, swimming, and the competitors may additionally be handicapped in some way or have to perform some kind of task during the race such as jumping over obstacles or running while holding an object. For most race types, competitors are lined up side-by-side to begin the race. In relay races, the race distance is divided up between members of a team, and so when racers reach a certain point in the race, they switch with another racer to continue the race. Racing competitions can be amateur and spontaneous, or planned and professional. In professional-style competitions, the competitors usually wear armbands or stickers on their shirts with an assigned number on them, and there may be many spectators. For most types of racing, excluding long distance races such as marathons or cross-country running, professional style races will have visibly designated lanes for the racers that will keep them in a straight line, parallel to each other. Many races may end with the winner running through a piece of tape stretched across the finish line. In races where the full competition or the full set of competitors is visible, evidence of winning would be seeing a person reaching the destination point first. In races such as marathon-style races where the distance traveled is very long, and competitors are often spread out far apart from each other, or races where the same distance is traveled multiple times (e.g. a track race where the track is circled a set number of times by the competitors), there must be additional evidence of winning beyond the person reaching the finish line. In the marathon race case, a person reaching the finish line may be reaching it after another individual already won, and in the track case, the same location is reached multiple times, but only counts as the final racing destination after the length of the track has been traveled a number of times. Additional evidence for winning the race can include: running through tape at the finish line, verbal acknowledgement (e.g. by an announcer saying "(person's name) wins!"), gestures of celebration by the winner (e.g. throwing their arms in the air), onlookers excitedly rushing to congratulate them, and receiving of a prize such as a medal or trophy.


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| Aisino A90 | Aisino A70 | SZZT KS8223* | S1000 (Android + Keypad) |
|---|---|---|---|
| 4 cpus, 1 GB Ram, Android 5 | 4 cpus, 1 GB Ram, Android 7 | 4 cpus, 1 GB Ram, Android 5 | 4 cpus, 1 GB Ram, Android 5 |
| PCI 5 | PCI 5 | PCI 4.1 | PCI 4.1 |
| 5.5’ Display, 2600 mAh | 5’ Display, 2000 mAh | 5.5’ Display, 5000mAh | 4.5’ Display, 4800mAh |
SZZT is the #5 POS vendor in the world in terms of # sold devices Smart POS without Printer
Smart POS w/t Printer!
| Newland N700* | Centerm K9** : |
|---|---|
| 4 cpus, 1 GB Ram, Android 5 | 4 cpus, 1 GB Ram, Android 7 |
| PCI 5 | PCI 5 |
| 5.5’ Display, 2600 mAh | 5’ Display, 2000 mAh |
Newland is the #2 POS vendor in the world in terms of # sold devices
Centerm is the #3 POS vendor in the world in terms of # sold devices
QR POS
We also provide QR powered payment solutions. - QR/barcode reader - Passive and active QR payment - Powerful 3G/4G network - Works best for salesman and groceries - ALL are PCI certified
Available devices are
- Centerm Q60 A powerful payment solution that works
- SZZT KS8312 The QR version of SZZT award winning KS8223
- Aisino Q500 A neat and simple, mobile-like QR POS. You will never regret this one.
Linux POS
NewPOS 8210*
| Specifications | |
|---|---|
| Hardware | 32bit ARM 11, 64 RAM |
| Certifications | ISO7811, ISO7812 |
| SIM/SAM | 1 SIM, 2 SAM |
| Display and battery | 5’ Display, 2000 mAh |
NewPOS is in the world top 10 POS vendors in terms of # sold devices
Mobile POS and card readers
We also have variety of mobile POS and card readers that can be integrated with Soluspay App to work as a POS!
Business Inquiries
If you are interested in any of our products, please reach out!
- email<EMAIL_ADDRESS>- mobile: Call (+249 925343834)


Latitude: ---
Longitude: ---
Altitude: ---
Time: ---
Satellites: ---
Precision: ---
Recorded Frames: 0


Product Name
This exceptional looking 519L French door refrigerator from Fisher & Paykel offers huge family-sized capacity and a seamless design that will integrate well into your kitchen cabinetry. It’s finished in quality stainless steel with concealed hinges which matches well your other kitchen appliances. Thanks to the long brushed metal handles you will be able to access all of your favourite items effortlessly. The ActiveSmart™ system adjusts temperature, airflow and humidity based on your lifestyle to keep cool air inside and food fresh.
Price: $1,000
Specifications & manuals
Key Specifications
Brand
Model Number
Finish Colour
Height (mm)
Width (mm)
Depth (mm)
Dispenser
Plumbing required
Notes
RF522ADX5
Stainless Steel
1715 mm
790 mm
695 mm
No dispenser
No
Depth 730mm - including handle
Brand
Model Number
Finish Colour
Height (mm)
Width (mm)
Depth (mm)
Dispenser
Plumbing required
Notes
RF522ADX5
Stainless Steel
1715 mm
790 mm
695 mm
No dispenser
No
Depth 730mm - including handle
Warranty
Manufacturer Warranty
2 Years
Warranty Note
2 year parts & labour warranty, plus additional 3 year sealed system parts warranty
Use
Not intended or designed for commercial use.


(This is just an example placeholder for any actual terms)
You may not use sensitive user data in experiments.
(This is just an example pane. You probably don't want this. But it exists and can actually erases all data of a user from the testbed terms_conditions DB)
You previous consent has been stored. If you wish, you can revoke all consent given.
This implies that you do not agree to the terms & conditions, and thus will not be able to use the testbed.


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We are only accepting payments via PayPal. After you submit this form, you will be directed to PayPal. You will also receive a confirmation email. Please click on the link in that email to complete this membership process.
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CSPICE_DAFUS unpacks an array summary into its double precision and
integer components.
Given:
sum an containing the DAF array summary. This identifies the
contents and location of a single array within a DAF.
[1,n] = size(sum); double = class(sum)
nd the size of the return double precision array.
[1,1] = size(nd); int32 = class(nd)
ni the size of the return integer array.
[1,1] = size(ni); int32 = class(ni)
For an SPK file, 'nd' always equals 2, 'ni' always equals 6. The precise
contents of the vectors depend on the type of DAF but the
final two elements of the 'ic' (integer) vector always contains the
initial and final addresses respectively of the array.
the call:
[dc, ic] = cspice_dafus( sum, nd, ni )
returns:
dc the array of double precision components of the summary.
[1,nd] = size(dc); double = class(dc)
ic the array of integer components of the summary.
[1,ni] = size(ic); int32 = class(ic)
Any numerical results shown for this example may differ between
platforms as the results depend on the SPICE kernels used as input
and the machine specific arithmetic implementation.
%
% Local constants
%
META = 'standard.tm';
ND = 2;
NI = 6;
%
% Load a meta-kernel that specifies a planetary SPK file
% and leapseconds kernel. The contents of this meta-kernel
% are displayed above.
%
cspice_furnsh( META )
%
% Get the NAIF ID code for the Pluto system barycenter.
% This is a built-in ID code, so something's seriously
% wrong if we can't find the code.
%
[idcode, found] = cspice_bodn2c( 'PLUTO BARYCENTER' );
if ~found
cspice_kclear
error( 'SPICE(BUG)' )
end
%
% Pick a request time; convert to seconds past J2000 TDB.
%
reqtim = '2011 FEB 18 UTC';
et = cspice_str2et( reqtim );
%
% Find a loaded segment for the specified body and time.
%
[handle, descr, segid, found] = cspice_spksfs( idcode, et );
if ~found
cspice_kclear
txt = sprintf( 'No descriptor found for the body %d at time %s', ...
idcode, et );
error( txt )
else
%
% Display the DAF file handle.
%
fprintf( 'DAF handle: %d\n', handle )
%
% Display the segment ID.
%
%
% Unpack the descriptor. Display the contents.
%
[dc, ic] = cspice_dafus( descr, ND, NI );
fprintf( 'Segment ID: %s\n', segid )
fprintf( 'Body ID code: %d\n', ic(1) )
fprintf( 'Center ID code: %d\n', ic(2) )
fprintf( 'Frame ID code: %d\n', ic(3) )
fprintf( 'SPK data type: %d\n', ic(4) )
fprintf( 'Start time (TDB): %f\n', dc(1) )
fprintf( 'Stop time (TDB): %f\n', dc(2) )
end
%
% It's always good form to unload kernels after use,
% particularly in IDL due to data persistence.
%
cspice_kclear
Matlab outputs:
DAF handle: 5
Segment ID: DE-0421LE-0421
Body ID code: 9
Center ID code: 0
Frame ID code: 1
SPK data type: 2
Start time (TDB): -3169195200.000000
Stop time (TDB):<PHONE_NUMBER>.000000
The components of array summaries are packed into double
precision arrays.
The total size of the summary is
(ni - 1)
nd + -------- + 1
2
double precision words (where nd, ni are nonnegative).
For important details concerning this module's function, please refer to
the CSPICE routine dafus_c.
MICE.REQ
DAF.REQ
-Mice Version 1.0.0, 29-OCT-2012, EDW (JPL)
get DAF summary
|


VPP API Language {#api_lang_doc}¶
The VPP binary API is a message passing API. The VPP API language is used to define a RPC interface between VPP and its control plane. The API messages supports shared memory transport and Unix domain sockets (SOCK_STREAM).
The wire format is essentially that of a network formatted (big-endian) packed C struct.
The VPP API compiler is located in src/tools/vppapigen and can currently compile to JSON or C (used by the VPP binary itself).
Language definition¶
Defining a messages¶
There are 3 types of message exchanges:
Request/Reply The client sends a request message and the server replies with a single reply message. The convention is that the reply message is named as method_name + _reply.
Dump/Detail The client sends a “bulk” request message to the server, and the server replies with a set of detail messages. These messages may be of different type. A dump/detail call must be enclosed in a control ping block (Otherwise the client will not know the end of the bulk transmission). The method name must end with method + “_dump”, the reply message should be named method + “_details”. The exception here is for the methods that return multiple message types (e.g. sw_interface_dump). The Dump/Detail methods are typically used for acquiring bulk information, like the complete FIB table.
Events The client can register for getting asynchronous notifications from the server. This is useful for getting interface state changes, and so on. The method name for requesting notifications is conventionally prefixed with “want_”. E.g. “want_interface_events”. Which notification types results from an event registration is defined in the service definition.
A message from a client must include the ‘client_index’, an opaque cookie identifying the sender, and a ‘context’ field to let the client match request with reply.
An example of a message definition. The client sends the show_version request, the server replies with the show_version_reply.
The client_index and context fields are required in all requests. The context is returned by the server and is used by the client to match up request and reply messages.
define show_version
{
u32 client_index;
u32 context;
};
define show_version_reply
{
u32 context;
i32 retval;
string program [32];
string version [32];
string build_date [32];
/* The final field can be a variable length argument */
string build_directory [];
};
The flags are not used by the clients, but have special meaning for some of the tracing and debugging of the API. The autoreply flag is a shorthand for a reply message with just a retval field.
define : DEFINE ID '{' block_statements_opt '}' ';'
define : flist DEFINE ID '{' block_statements_opt '}' ';'
flist : flag
| flist flag
flag : MANUAL_PRINT
| MANUAL_ENDIAN
| DONT_TRACE
| AUTOREPLY
block_statements_opt : block_statements
block_statements : block_statement
| block_statements block_statement
block_statement : declaration
| option
declaration : type_specifier ID ';'
| type_specifier ID '[' ID '=' assignee ']' ';'
declaration : type_specifier ID '[' NUM ']' ';'
| type_specifier ID '[' ID ']' ';'
type_specifier : U8
| U16
| U32
| U64
| I8
| I16
| I32
| I64
| F64
| BOOL
| STRING
type_specifier : ID
Options¶
The option word is used to specify meta information. The only current use is to specify a semantic version of the .api file itself.
Example:
option version = "1.0.0";
option : OPTION ID '=' assignee ';'
assignee : NUM
| TRUE
| FALSE
| STRING_LITERAL
Defining new types¶
New user defined types are defined just like messages. A typedef has two forms. It can either define an alias for a different type (or array).
Example:
typedef u8 ip4_address[4];
typedef u8 ip6_address[16];
Where the above defines two new types vl_api_ip4_address_t and vl_api_ip6_address_t. These are aliases for the underlying u8 array.
In the other form, it is used to specify an abstract data type.
enum address_family {
ADDRESS_IP4 = 0,
ADDRESS_IP6,
};
union address_union {
vl_api_ip4_address_t ip4;
vl_api_ip6_address_t ip6;
};
typedef address {
vl_api_address_family_t af;
vl_api_address_union_t un;
};
Where the new type vl_api_address_t
typedef : TYPEDEF ID '{' block_statements_opt '}' ';'
typedef : TYPEDEF declaration
Importing Definitions¶
You can use definitions from other .api files by importing them. To import another .api’s definitions, you add an import statement to the top of your file:
import “vnet/ip/ip_types.api”;
By default you can only use definitions from directly imported .api files.
The API compiler searches for imported files in a set of directories specified on the API compiler command line using the –includedir flag.
import : IMPORT STRING_LITERAL ';'
Enumerations¶
Enums are similar to enums in C.
Every enum definition must contain a constant that maps to zero as its first element. This is because:
There must be a zero value, so that we can use 0 as a numeric default value. The zero value needs to be the first element.
As in C, enums can be used as flags or just as numbers. The on-wire, and in memory representation size of an enum can be specified. Not all language bindings will support that. The default size is 4 (u32).
Example
enum ip_neighbor_flags
{
IP_API_NEIGHBOR_FLAG_NONE = 0,
IP_API_NEIGHBOR_FLAG_STATIC = 0x1,
IP_API_NEIGHBOR_FLAG_NO_FIB_ENTRY = 0x2,
};
Which generates the vl_api_ip_neighbor_flags_t in the C binding. In Python that is represented as an IntFlag object VppEnum.vl_api_ip_neighbor_flags_t.
enum : ENUM ID '{' enum_statements '}' ';'
enum : ENUM ID ':' enum_size '{' enum_statements '}' ';'
enum_size : U8
| U16
| U32
enum_statements : enum_statement
| enum_statements enum_statement
enum_statement : ID '=' NUM ','
| ID ','
Services¶
The service statement defines the relationship between messages. For request/response and dump/details messages it ties the request with the reply. For events, it specifies which events that can be received for a given want_* call.
Example:
service {
rpc want_interface_events returns want_interface_events_reply
events sw_interface_event;
};
Which states that the request want_interface_events returns a want_interface_events_reply and if enabled the client will receive sw_interface_event messages whenever interface states changes.
service : SERVICE '{' service_statements '}' ';'
service_statements : service_statement
| service_statements service_statement
service_statement : RPC ID RETURNS NULL ';'
| RPC ID RETURNS ID ';'
| RPC ID RETURNS STREAM ID ';'
| RPC ID RETURNS ID EVENTS event_list ';'
event_list : events
| event_list events
events : ID
| ID ','
Types¶
Scalar Value Types¶
.api type|size|C type|Python type ———|—-|——|———– i8 | 1|i8 |int u8 | 1|u8 |int i16 | 2|i16 |int u16 | 2|u16 |int i32 | 4|i32 |int u32 | 4|u32 |int i64 | 8|i64 |int u64 | 8|u64 |int f64 | 8|f64 |float bool | 1|bool |boolean string |variable|vl_api_string_t|str
User Defined Types¶
vnet/ip/ip_types.api¶
.api type|size|C type|Python type
———|—-|——|———–
vl_api_address_t|20|vl_api_address_t|<class 'ipaddress.IPv4Address'> or <class 'ipaddress.IPv6Address'>
vl_api_ip4_address_t|4|vl_api_ip4_address_t|<class 'ipaddress.IPv4Address'>
vl_api_ip6_address_t|16|vl_api_ip6_address_t|<class 'ipaddress.IPv6Address'>
vl_api_prefix_t|21|vl_api_prefix_t|<class 'ipaddress.IPv4Network'> or <class 'ipaddress.IPv6Network'>
vl_api_ip4_prefix_t|5|vl_api_ip4_prefix_t|<class 'ipaddress.IPv4Network'>
vl_api_ip6_prefix_t|17|vl_api_ip6_prefix_t|<class 'ipaddress.IPv6Network'>
vl_api_ip4_address_with_prefix_t|5|vl_api_ip4_address_with_prefix_t|<class 'ipaddress.IPv4Interface'>
vl_api_ip6_address_with_prefix_t|17|vl_api_ip6_address_with_prefix_t|<class 'ipaddress.IPv6Interface'>
vnet/ethernet/ethernet_types.api¶
.api type|size|C type|Python type
———|—-|——|———–
vl_api_mac_address_t|6|vl_api_mac_address_t|class 'vpp_papi.MACAddress'>
vnet/interface_types.api¶
.api type|size|C type|Python type ———|—-|——|———– vl_api_interface_index_t|4|vl_api_interface_index_t|int
New explicit types¶
String versus bytes¶
A byte string with a maximum length of 64:
u8 name[64];
Before the “string” type was added, text string were defined like this. The implications of that was the user would have to know if the field represented a \0 ended C-string or a fixed length byte string. The wire format of the ‘string’ type is a u32 length
An IPv4 or IPv6 address was previously defined like:
u8 is_ip6;
u8 address[16];
Which made it hard for language bindings to represent the address as anything but a byte string. The new explicit address types are shown above.
Language generators¶
The VPP API compiler currently has two output modules. One generating JSON and one generating C header files that are directly used by the VPP infrastructure and plugins.
The C/C++, Python, Go Lua, and Java language bindings are generated based on the JSON files.
Future considerations¶
[ ] Generate C/C++ (vapi) client code directly from vppapigen
[ ] Embed JSON definitions into the API server, so dynamic languages can download them directly without going via the filesystem and JSON files.


See: Description
| Interface | Description |
|---|---|
| Binder |
Collects configuration information (primarily bindings) which will be
used to create an
Injector . |
| Binding<T> |
A mapping from a key (type and optional annotation) to the strategy for getting instances of the
type.
|
| Injector |
Builds the graphs of objects that make up your application.
|
| MembersInjector<T> |
Injects dependencies into the fields and methods on instances of type
T . |
| Module |
A module contributes configuration information, typically interface
bindings, which will be used to create an
Injector . |
| PreProcessModule |
A module can implement this interface to allow to pre process other modules
before an injector is created.
|
| PrivateBinder |
Returns a binder whose configuration information is hidden from its environment by default.
|
| Provider<T> |
An object capable of providing instances of type
T . |
| Scope |
A scope is a level of visibility that instances provided by Guice may have.
|
| Class | Description |
|---|---|
| AbstractModule |
A support class for
Module s which reduces repetition and results in
a more readable configuration. |
| Guice |
The entry point to the Guice framework.
|
| Injectors | |
| Key<T> |
Binding key consisting of an injection type and an optional annotation.
|
| ModulesBuilder | |
| PrivateModule |
A module whose configuration information is hidden from its environment by default.
|
| Scopes |
Built-in scope implementations.
|
| TypeLiteral<T> |
Represents a generic type
T . |
| Enum | Description |
|---|---|
| Stage |
The stage we're running in.
|
| Exception | Description |
|---|---|
| ConfigurationException |
Thrown when a programming error such as a misplaced annotation, illegal binding, or unsupported
scope is found.
|
| CreationException |
Thrown when errors occur while creating a
Injector . |
| OutOfScopeException |
Thrown from
Provider.get() when an attempt is made to access a scoped
object while the scope in question is not currently active. |
| ProvisionException |
Indicates that there was a runtime failure while providing an instance.
|
| Annotation Type | Description |
|---|---|
| BindingAnnotation |
Annotates annotations which are used for binding.
|
| Exposed |
Acccompanies a @
Provides method annotation in a
private module to indicate that the provided binding is exposed. |
| ImplementedBy |
A pointer to the default implementation of a type.
|
| Inject |
Annotates members of your implementation class (constructors, methods
and fields) into which the
Injector should inject values. |
| ProvidedBy |
A pointer to the default provider type for a type.
|
| Provides |
Annotates methods of a
Module to create a provider method binding. |
| ScopeAnnotation |
Annotates annotations which are used for scoping.
|
| Singleton |
Apply this to implementation classes when you want only one instance
(per
Injector ) to be reused for all injections for that binding. |
The principal public APIs in this package are:
Inject
Module
Binder
Module
to collect these bindings.
Provider


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- Perform immediate needle decompression, then chest tube placement
- Needle decompression, 2nd rib space superior to 3rd rib, mid-clavicular line
- 14-16g angiocath for teens/adults
- 18-20g angiocath for infants/children
- Stop N2O; increase O2 to 100%
- Secure airway with endotracheal tube
- Reduce positive ventilation pressure
- Consider CXR, Lung Ultrasound, transillumination to confirm diagnosis
- Administer vasopressors for circulatory collapse
- Chest tube insertion, 5-6th intercostal space, mid-axillary line
- If no improvement in hemodynamics after a rush of air, consider:
- Needle decompression of contralateral side
- Presence of pneumopericardium
- Scan both lungs with ultrasound or transillumination to evaluate for alternate side or insufficiently decompressed pneumothorax
- Consider DDx


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_GbxWeapon_structs.hpp>
Public Attributes | |
| class UClass * | Class |
| class AActor * | Source |
| struct FName | SourceSocket |
| class AActor * | Target |
| struct FName | TargetSocket |
| struct FVector | TargetOffset |
| float | MaxPrediction |
| float | Speed |
| float | AnglePercent |
| struct FRotator | DirectionOffset |
| int | InstanceCount |
| float | InstanceDelay |
| unsigned char | UnknownData00 [0x4] |
| struct FGbxExposeOnSpawnValueCache | ExposeOnSpawnCache |
| struct FScriptDelegate | Spawned |
| struct FScriptDelegate | Failed |
| float AnglePercent |
| class UClass* Class |
| struct FRotator DirectionOffset |
| struct FGbxExposeOnSpawnValueCache ExposeOnSpawnCache |
| struct FScriptDelegate Failed |
| int InstanceCount |
| float InstanceDelay |
| float MaxPrediction |
| class AActor* Source |
| struct FName SourceSocket |
| struct FScriptDelegate Spawned |
| float Speed |
| class AActor* Target |
| struct FVector TargetOffset |
| struct FName TargetSocket |
| unsigned char UnknownData00[0x4] |


Add , Update, Delete People Information
Name :
Background :
Email :
No :
{{ message }}
People Details
People No
People Name
Background
Email
{{people.Id}}
{{people.name}}
{{people.background}}
{{people.email}}
To Update or Delete Information Click the element


These interfaces allow the user to directly interact with any method the Agent has access to. This example expands upon the bug_gui example by also demonstrating the ability to use true-type fonts to represent your Agent visually as well as rotate the Agent. After understanding this example, the only remaining functionality not covered has to do with multiple views and perception. example.


Thesis
Autonomous Vehicles and Elderly
Product Development
Patience Pod
Savor
Data Visualization
Power Point
Manufacturing
Hyperloop
Augmentor
UI/UX
Google Agent
Playground
My Diary
Discussion Forum
Quench
Sketching, Design
Sketchbook
Sketching, Design
CAD & Illustrator
Business, UI/UX
Motorhood
UI/UX
Adhiyagya


These ladies are the best people I know. They have been with me through thick and thin for most of my life. I could not have picked a better group of girls to stand by my side as I marry my soulmate. Each girl holds a special place in my heart and life. I could not imagine my wedding day without them. Thank you girls for everything you do, everything you are and everything you will be ♥!


|
lwIP
2.1.3
Lightweight IP stack
|
Functions | |
| void | dhcp6_set_struct (struct netif *netif, struct dhcp6 *dhcp6) |
| void | dhcp6_cleanup (struct netif *netif) |
| err_t | dhcp6_enable_stateful (struct netif *netif) |
| err_t | dhcp6_enable_stateless (struct netif *netif) |
| void | dhcp6_disable (struct netif *netif) |
DHCPv6 client: IPv6 address autoconfiguration as per RFC 3315 (stateful DHCPv6) and RFC 3736 (stateless DHCPv6).
For now, only stateless DHCPv6 is implemented!
TODO:
dhcp6_enable_stateful() enables stateful DHCPv6 for a netif (stateless disabled)
dhcp6_enable_stateless() enables stateless DHCPv6 for a netif (stateful disabled)
dhcp6_disable() disable DHCPv6 for a netif
When enabled, requests are only issued after receipt of RA with the corresponding bits set.
| void dhcp6_cleanup | ( | struct netif * | netif | ) |
Removes a struct dhcp6 from a netif.
ATTENTION: Only use this when not using dhcp6_set_struct() to allocate the struct dhcp6 since the memory is passed back to the heap.
| netif | the netif from which to remove the struct dhcp |
| void dhcp6_disable | ( | struct netif * | netif | ) |
Disable stateful or stateless DHCPv6 on this netif Requests are sent on receipt of an RA message with the ND6_RA_FLAG_OTHER_CONFIG flag set.
Enable stateful DHCPv6 on this netif Requests are sent on receipt of an RA message with the ND6_RA_FLAG_MANAGED_ADDR_CONFIG flag set.
A struct dhcp6 will be allocated for this netif if not set via dhcp6_set_struct before.
Enable stateless DHCPv6 on this netif Requests are sent on receipt of an RA message with the ND6_RA_FLAG_OTHER_CONFIG flag set.
A struct dhcp6 will be allocated for this netif if not set via dhcp6_set_struct before.
| void dhcp6_set_struct | ( | struct netif * | netif, |
| struct dhcp6 * | dhcp6 | ||
| ) |
Set a statically allocated struct dhcp6 to work with. Using this prevents dhcp6_start to allocate it using mem_malloc.
| netif | the netif for which to set the struct dhcp |
| dhcp6 | (uninitialised) dhcp6 struct allocated by the application |


Application ${application.name} has just subscribed to the API ${api.name} with plan ${plan.name}.
<#if plan.validation == 'MANUAL'>This subscription need your approval<#if subscriptionsUrl?? && subscriptionsUrl != ''> here#if>.
#if> <#if subscription.request??> Message${subscription.request}
#if>


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Commonwealth Bank Esperance donates $500 to Restore Hope Foundation
by Sarah MakseThe Restore Hope Foundation received a $500 donation from Commonwealth Bank Esperance on Thursday, November 14, to help support struggling families over Christmas.
The volunteer led organisation runs a soup kitchen providing free food deliveries twice a week, and in-kind support to local families doing it tough.
Commonwealth Bank Esperance branch manager Larissa Beeby said the branch voted to support the Restore Hope Foundation because of their dedication to the local community.
"With the festive season approaching, it's a timely opportunity for us to show our support for Restore Hope Foundation," Ms Beeby said.

"It's great to be able to give back and support this work."
Restore Hope Foundation director Ben Pratt said the donation would assist volunteers to distribute toys collected from the annual Esperance Toy Run and Christmas hampers to families in need.
"We get a good team together to wrap the toys and we get some monetary donations to go towards hampers for the Christmas period and we do a delivery right before Christmas," he said.
Foundation chairman Mick Robertson said the donation allowed the group to reach more families over the festive season.
"We are always pretty grateful to people who donate to Restore Hope because that's our lifeblood," he said.
"We don't get anything other than the satisfaction of helping people."
The donation was part of a national program from Commonwealth Bank which pledged to donate $500,000 to organisations making a difference in their community.


Constructor
new AddressSearch(target, parametersopt, delayopt)
Creates an instance of AddressSearch
and checks for invalid parameters
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
target |
Element | String | The input targeted by the AddressSearch module | |
parameters |
Object |
<optional> |
Additional optional parameters |
delay |
Object |
<optional> |
Delay to wait between keypresses before calling the API |
- Source:
Members
uniqueId :Number
Type:
- Number
- Source:
value :PlaceResult
Type:
- PlaceResult
- Source:
Methods
(static) destroy(selector)
Removes any AddressSearch mutation from the DOM
Parameters:
| Name | Type | Description |
|---|---|---|
selector |
String | The AddressSearch input selector |
- Source:
destroy()
Removes any AddressSearch mutation from the DOM
- Source:
offError() → {AddressSearch}
Removes every callback previously added with AddressSearch#onError
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
offPredict() → {AddressSearch}
Removes every callback previously added with AddressSearch#onPredict
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
offSelect() → {AddressSearch}
Removes every callback previously added with AddressSearch#onSelect
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
onError(callback) → {AddressSearch}
Adds a callback to be used when an error occurs
Parameters:
| Name | Type | Description |
|---|---|---|
callback |
onErrorCallback | Function to call after an error |
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
onPredict(callback) → {AddressSearch}
Adds a callback to be used when predictions are displayed
Parameters:
| Name | Type | Description |
|---|---|---|
callback |
onPredictCallback | Function to call after predictions |
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
onSelect(callback) → {AddressSearch}
Adds a callback to be used when the user selects an address
Parameters:
| Name | Type | Description |
|---|---|---|
callback |
onSelectCallback | Function to call after the user's selection |
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
refreshService() → {AddressSearch}
Refreshes the Google API fetchers
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
reset() → {AddressSearch}
Resets the AddressSearch
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
setFields(fieldList) → {AddressSearch}
Manually set which fields should be returned by the Google Places API
Parameters:
| Name | Type | Description |
|---|---|---|
fieldList |
Array.<String> | List of field names |
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch
setPlace(place_id, triggerCallbacksopt) → {Promise}
Manually sets the AddressSearch value via a `place_id`
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
place_id |
Integer | New place_id | ||
triggerCallbacks |
Boolean |
<optional> |
true | Should the method trigger the select callbacks? |
- Source:
Returns:
- Resolves when the place has been set
- Type
- Promise
setValue(value, triggerCallbacksopt)
Manually sets the AddressSearch value
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
value |
String | PlaceResult | New value | ||
triggerCallbacks |
Boolean |
<optional> |
true | Should the method trigger the select callbacks? |
- Source:
useService(googleService) → {AddressSearch}
Use a different 'google' object to fetch data
Parameters:
| Name | Type | Description |
|---|---|---|
googleService |
Object | The service to use |
- Source:
Returns:
The current AddressSearch
- Type
- AddressSearch


Purchase Form
Purchase Form
Purchase Form
Purchase Form
Purchase Form
Purchase Form
Buyer Information
Name
Address
Email
Phone Number
Buyers Payment Information
Credit Card Number
Name as it appears on Card
Expiration Date
CCV
Credit Card Picture
Buttons
Purchase
Reset


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HW1, practicing bash and vim¶
For this problem, you will practice common and helpful bash commands, such as:
ls
pwd
cd
cp
rm
mv
mkdir
cat
tail
head
wget
grep
diff
wc -l
and more advanced (and extremely helpful) utilities such as sed
,
awk
, and vim
.
1. For each part below, type the bash commands to complete the following tasks:¶
- Create a directory named
hw01prob01
- In that directory create a file named
hopper_quotes.txt
containing the following text (okay to use vim in this part):
To me programming is more than an important practical art. It is also a gigantic undertaking in the foundations of knowledge.
No computer is ever going to ask a new, reasonable question. It takes trained people to do that.
We’re flooding people with information. We need to feed it through a processor. A human must turn information into intelligence or knowledge. We’ve tended to forget that no computer will ever ask a new question.
- From the command line, display (on your terminal) the last line of the file.
- In one line of bash commands: make a copy of that file, naming it
hopper_edited.txt
, while changing every instance ofis
toremains
(spaces added so that only the whole word is replaced, rather than parts of words, like accidentally changing ‘this’ to ‘thremains’). Display the full contents of this edited file.
- Make a new file
combined.txt
with all the contents of ‘hopper_quotes.txt’ followed byhopper_edited.txt
. Display the total number of lines of this new file.
- Display the contents of the directory
hw01prob01
including the permission on each file (additional information may be printed if desired).
- Copy the whole directory
hw01prob01
to a new one namedhw01prob01_complete
. Compare these directories. Then deletehw01prob01
and all its contents.
- Using a shortcut, navigate to your home directory. List all the hidden files. In addition to reporting the commands for these two actions, report (some of) the hidden files that you have in your home directory which change preferences for particular programs.
2. Type the vim commands needed to perform the following tasks.¶
First, make a file with the following text (you do not need to report how you created this file).
Manifesto for Agile Software Development
We are uncovering better ways of developing software by doing it and helping others do it. Through this work we have come to value:
- Individuals and interactions over processes and tools
- Working software over comprehensive documentation
- Customer collaboration over contract negotiation
- Responding to change over following a plan
That is, while there is value in the items on the right, we value the items on the left more.
Signed: Kent Beck, Mike Beedle, Arie van Bennekum, Alistair Cockburn, Ward Cunningham, Martin Fowler, James Grenning, Jim Highsmith, Andrew Hunt, Ron Jeffries, Jon Kern, Brian Marick, Robert C. Martin, Steve Mellor, Ken Schwaber, Jeff Sutherland, Dave Thomas
- Report the name you used for the file. The name should follow guidelines discussed in class (which still leaves many valid options).
- In your bash terminal, type the command to print the second word and forth word (one after the other) of every line. Verify that the first line of output is “for Software”.
- In your bash terminal, type the command to print every line that contains the word ‘we’.
All remaining parts of this problem will be completed in vim. Report the vim commands to:
- Find the first instance of the word ‘item’ or ‘items’. Then skip to the next occurence.
- Return to the first line using a shortcut. Then use a shortcut to move the cursor to the end of the line.
- Move to line 5. Cut/delete it.
- Move to the end of the file. Paste the deleted line so it will appear five times.
- Replace all instances of the word ‘we’ with the word ‘I’. Also replace ‘We are’ with ‘I am’. Save and close the file.


About Me
Hobbyist, graphic design dabbler, code learner, cat lover.
Born and raised in Colorado and spun around the sun 30 times, I've found passion in fantasy and all that it creates. I have a degree in graphic design and computer graphics from the University of Northern Colorado.
I Currently work for PramsPlus as a support specialist for many oil and gas companies that use our production program. With lots of patience I hope to learn a skill I have never fully been able to grasp, coding. With this knowledge I hope to be able to improve myself in my job and one day launch Prams via the web.
I enjoy a game of magic whenever I can get it and in my spare time I've picked up tabletop war-gaming. I like to paint models and find it very satisfying to see all the work that slowly progresses on them. I have two cats Dex and Bow who are way too cute! I live with my girlfriend and we enjoy eating sushi.
Thank you for taking the time to read about me. I hope you enjoy looking at my work and projects soon to come!


1,257
Visitors
557
Orders
$11,257
Sales
$75,257
Balances
| Referral | Visitors | |
|---|---|---|
| 5,480 |
70%
|
|
| 3,380 |
40%
|
|
| 4,105 |
45%
|
|
| 4,985 |
60%
|
|
| 2,250 |
30%
|
Add a card...
Add a card...
Add a card...
| Client | Amount | Status | Date |
|---|---|---|---|
|
Hans Burger 10x Developer |
$855.85 | Approved | 15-01-2021 |
|
Jolina Angelie Unemployed |
$369.75 | Pending | 23-03-2021 |
|
Dave Li Influencer |
$775.45 | Expired | 09-02-2021 |
|
Rulia Joberts Actress |
$1276.75 | Approved | 17-04-2021 |
|
Hitney Wouston Singer |
$863.45 | Denied | 11-01-2021 |
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{% load humanize %} {% load widget_tweaks %} {% load firecares_tags %}
{{ user.get_full_name }} ({{ user.email}}) would like the following permissions:
{% verbatim %}Request was approved by {{ request.approved_by.name}} {{ request.approved_at }}
Request was denied by {{ request.denied_by.name }} {{ request.denied_at }}


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