It all started when I was 14. My friend came over to my house one day, tweeking, and she had some with her, I had never done it before, but I really wanted to try it.   It's a euphoric rush that went through my entire body, making me feel exhilarated, happy, and hyper too, of course.
To be honest I can't remember much of that whole day, or night, but I know we just kept doing more, and before I knew it, I was hooked. For a year and a half of my life I was completely and utterly under its spell, I was going through half an 8 ball a day. And then one day, my then current boyfriend (whom I had been dating for about a year and who was also a tweeker) turned to crack, then heroin, and slowly turned into a completely different person. The same thing happened with all my friends, the drugs slowly devoured the people I once knew, and turned them into mean, uncaring drug addicts, and it all started with meth (at least in my circle of friends) So, I decided to quit.
Honestly, it wasn't that hard, well...for the first month or two. I still wanted it, but I left the people who still did it, and found new people who didn't.  I only did about a dime, but that was enough.  It really isn't worth it at all, I can honestly say, 'no, I don't want to do it', but deep down inside, I really do. And that feeling will probably always be there. I will try my damndest never to do it again, because it is a horrible, EXTREMELY addictive drug for me.
I would say, if you ever have the chance to do it, DON'T!  I'm at a point right now, where I'm almost positive I will never do it again, but I will always want to, and that's almost as bad.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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CEERS Data Release 0.7
Please consider subscribing to our email list to receive updates related to released data products and alerts when future data releases are available.
We are excited to announce CEERS Data Release 0.7! Here we provide our team's reductions of the NIRSpec and NIRCam grism spectra, observed as part of CEERS Epoch 2 in December 2022 and Epoch 3 in February 2023. See below for more information.
The CEERS observations have been split into multiple epochs (see Observing Modes for more info):
- Epoch 1 (June 2022): MIRI+NIRCam imaging pointings 1, 2, 3 and 6 — CEERS Data Release 0.5
- Epoch 2 (December 2022): NIRSpec MSA+NIRCam imaging pointings 4, 5, 7, 8, 9 and 10; NIRCam WFSS+MIRI imaging pointings 5, 7, 8 and 9
- Epoch 3 (February 2023): NIRSpec MSA PRISM pointings 11 and 12, repeat December observations of pointings 9 and 10 — this Data Release 0.7!
Our spectroscopic data products are available on the CEERS storage space at the Texas Advanced Computing Center or via the links below. They will also be available on the CEERS HLSP MAST page soon.
NIRSpec MSA
NIRCam WFSS
Epoch 2+3 NIRSpec MSA 1D and 2D Spectra
This data release includes CEERS NIRSpec pointings 4, 5, 7, 8, 9 and 10, obtained as prime observations with NIRCam imaging parallels. Each pointing is observed with three medium gratings (G140M/F100LP, G235M/F170LP and G395M/F290LP; R~1000) and the PRISM (R~100). The PRISM observations in pointings 9 and 10 were affected by an MSA short in December and were repeated at new positions in February. These two new PRISM pointings are 11 and 12.
We have reduced these spectra using custom procedures that improve upon the default pipeline, including custom aperture extractions and aperture masking of detector artifacts and other contaminants. We are working on a paper that describes our reduction in detail. Please cite Arrabal Haro et al., in preparation, if you use any of these data products.
To access the full NIRSpec data release directly, visit this link. Alternatively, see below to access the fully reduced 1D and 2D spectra in each pointing and grating. Please see the associated README describing the release.
Summary
- Instrument: NIRSpec
- Mode: Multi-Object Spectroscopy
- Calibration Pipeline Used: jwst vXXX
- CRDS Context pmap: XXX
- Target: NIRSpec pointings 4, 5, 7, 8, 9, 10, 11, 12
- Dispersers/Filters: G140M/F100LP, G235M/F170LP and G395M/F290LP (R~1000); PRISM (R~100)
- Readout: NRSIRS2
- Observation specification: 14 groups, 1 integration
- Dithers: 3 shutter slitlet nod pattern
Spectra
- Fully reduced spectra are available here or in the table below.
- Each entry in the table below provides a link to a gzipped tarball (tar.gz) containing multiple data products:
*_s2d.fits
— Rectified 2D spectra
*_x1d.fits
— Extracted 1D spectra using custom apertures
*_XXXX.fits
— XXX Products with no artifact masking XXX?
- The first row of the table provides a link to a gzipped tarball containing all dispersers/filters for the pointing.
- All data products are described in detail in the README.
Data reduction
We have reduced images through version XXX of the JWST Calibration Pipeline with custom Python scripts developed to handle additional corrections. All objects are treated as point sources. We use custom revised 1D extraction apertures that are tailored for each individual target. We have also manually masked artifacts (hot pixels, cosmic rays, etc.) in all spectra. See the README for details on our reduction. Please cite Arrabal Haro et al., in preparation, if you use any of these data products.
Epoch 2 NIRCam WFSS
This data release includes CEERS NIRCam grism pointings 5, 7, 8 and 9, obtained as prime observations with MIRI imaging in parallel. Each pointing is observed with the F356W filter, covering ~3.1-4.0µn; with R~1600. Each grism observation was accompanied by three direct images with F356W, including two out-of-field images. All LW observations are paired with F115W imaging (the imaging was included in our NIRCam imaging data release DR0.6).
We have processed the WFSS data primarily through custom procedures designed to optimize the modeling and extraction of slitless spectroscopic data (see Pirzkal et al. 2018 for details).
To access the full WFSS data release directly, visit this link. Alternatively, see below to access the fully reduced spectra in each pointing. Please see the associated README describing the release.
Summary
- Instrument: NIRCam
- Mode: Wide Field Slitless Spectroscopy
- Calibration Pipeline Used: jwst XXXX (Stages 1 and 2, custom procedures used for spectral calibration and extraction)
- CRDS Context pmap: XXXX
- Target: NIRCam Pointings 5, 7, 8, 9 (as primary with parallel MIRI imaging)
- Filters: F356W
- Readout: SHALLOW4
- Observation specification: 6 groups, 1 integration
- Dithers: 4-point dithers, optimized for NIRCam+MIRI-F1500W
Spectra
- Fully reduced spectra are available here or in the table below.
- Each entry in the table below provides a link to a gzipped tarball (tar.gz) containing multiple data products:
*_XXXX.fits
— Extracted 2D spectra
*_XXXX.fits
— XXX Extracted 1D spectra XXX??
*_XXXX.pdf
— XXX Inspection plots XXX?
- The first row in the table provides a link to a gzipped tarball containing all files for that pointing.
- All data products are described in detail in the README.
Data reduction
We have reducded images through stage 1 of the JWST calibrated Pipeline (version XXXX). From there, we use custom procedures developed to handle additional corrections and calibrations for slitless observations. Our custom extraction and contamination modeling is based on the SBE method, closely following the process described in Pirzkal et al. (2018).


#include <uwUFetch_AUV.h>
Class that handle the timers of AUV node.
Definition at line 179 of file uwUFetch_AUV.h.
◆ uwUFetch_timer()
| uwUFetch_AUV::uwUFetch_timer::uwUFetch_timer |
( |
uwUFetch_AUV * |
m | ) |
|
|
inline |
◆ ~uwUFetch_timer()
| virtual uwUFetch_AUV::uwUFetch_timer::~uwUFetch_timer |
( |
| ) |
|
|
inlinevirtual |
◆ freeze()
| virtual void uwUFetch_AUV::uwUFetch_timer::freeze |
( |
| ) |
|
|
inlinevirtual |
◆ getCounter()
| int uwUFetch_AUV::uwUFetch_timer::getCounter |
( |
| ) |
|
|
inline |
◆ getDuration()
| double uwUFetch_AUV::uwUFetch_timer::getDuration |
( |
| ) |
|
|
inline |
Left duration of the timer.
- Returns
- double left_duration
Definition at line 348 of file uwUFetch_AUV.h.
◆ incrCounter()
| void uwUFetch_AUV::uwUFetch_timer::incrCounter |
( |
| ) |
|
|
inline |
◆ isActive()
| bool uwUFetch_AUV::uwUFetch_timer::isActive |
( |
| ) |
|
|
inline |
Verify if the timer is ACTIVE.
- Returns
- : bool true ACTIVE
Definition at line 308 of file uwUFetch_AUV.h.
◆ isExpired()
| bool uwUFetch_AUV::uwUFetch_timer::isExpired |
( |
| ) |
|
|
inline |
Verify if the timer is EXPIRED.
- Returns
- : bool true EXPIRED
Definition at line 297 of file uwUFetch_AUV.h.
◆ isFroozen()
| bool uwUFetch_AUV::uwUFetch_timer::isFroozen |
( |
| ) |
|
|
inline |
Verify if the timer is FROZEN.
- Returns
- : bool true FROZEN
Definition at line 286 of file uwUFetch_AUV.h.
◆ isIdle()
| bool uwUFetch_AUV::uwUFetch_timer::isIdle |
( |
| ) |
|
|
inline |
Verify if the timer is IDLE.
- Returns
- : bool true IDLE
Definition at line 264 of file uwUFetch_AUV.h.
◆ isRunning()
| bool uwUFetch_AUV::uwUFetch_timer::isRunning |
( |
| ) |
|
|
inline |
Verify if the timer is RUNNING.
- Returns
- : bool true RUNNING
Definition at line 275 of file uwUFetch_AUV.h.
◆ resetCounter()
| void uwUFetch_AUV::uwUFetch_timer::resetCounter |
( |
| ) |
|
|
inline |
Reset the counter that scan the timer.
Definition at line 317 of file uwUFetch_AUV.h.
◆ schedule()
| virtual void uwUFetch_AUV::uwUFetch_timer::schedule |
( |
double |
val | ) |
|
|
inlinevirtual |
◆ stop()
| virtual void uwUFetch_AUV::uwUFetch_timer::stop |
( |
| ) |
|
|
inlinevirtual |
◆ unFreeze()
| virtual void uwUFetch_AUV::uwUFetch_timer::unFreeze |
( |
| ) |
|
|
inlinevirtual |
unFreeze are used after a freezing of the timer.
In this case the timer restart from the timer where was freezed
check the state of the timer before sheduling the event. If the timer is set, then the call are aborted
Definition at line 222 of file uwUFetch_AUV.h.
◆ counter
| int uwUFetch_AUV::uwUFetch_timer::counter |
|
protected |
◆ left_duration
| double uwUFetch_AUV::uwUFetch_timer::left_duration |
|
protected |
◆ module
◆ start_time
| double uwUFetch_AUV::uwUFetch_timer::start_time |
|
protected |
◆ timer_status
The documentation for this class was generated from the following file:


Well, they said it couldn't be done in IE6 because of a browser bug.
But they didn't know that another bug works in a way that ALLOWS this to be done!
This page has a fixed menu in the top left hand corner of the screen. This menu will remain on screen at all times in NN7, Opera, Mozilla, Firefox AND IE6!!
Just scroll this page and see the menu pass over the top without so much as a flicker (not like those javascript things that jerk and jump down the screen trying to keep up with the scroll). In fact IE6 handles the scrolling better that Mozilla/Firefox.
This is all done using standard CSS with a little help from another IE6 BUG that makes it believe that 'ABSOLUTE' is 'FIXED'.
Just take a peek at the source code to see that all it takes is a setting of height:100% for the body (with overflow-y:auto) and it works.
Anything that is position:absolute; or position:relative; will now be FIXED in IE6.
The only problem with this is that you cannot use absolute or relative positions on the moving page but float is allowed.
The rest of this page is just put in to fill up the space to extend the div out of the screen area
Taking this to extremes you have The Holy Grill
This page is Valid XHTML1.1.
©2004 Stuart A Nicholls ~all rights reserved (but help yourself to the code anyway ;)
Back to the Home Page.
Let's stuff a few images at the end to see if there is a problem in IE.
Looks ok to me?
Goto 'Another one bites the dust'


Couple shed more than eight stone after eating tons of takeaways piled on the pounds
The cob van lady used to know their daily order as they went so often
by Rhea TurnerBingeing on takeaways and a daily visit to the cob van led to a husband and wife piling on the pounds.
But now the couple are in seventh heaven after ditching fast food and shedding an impressive eight stones between them.
Dawn and Mark Smith weighed in at almost 50 stone between them but ditching the junk food has certainly paid dividends.
Dawn, 29, from Ashby, has told how she was always overweight but she became tired of seeing her 'Winnie the Pooh' belly. She used to tip the scales at 20 stone, she said.
While husband Mark weighed in at almost 30 stone and the pair decided it was time to change and they went on a diet together.
Dawn, who is mum to Cynthia, seven, and Isabelle, five, said: "I was always the fat kid at school. I have always been active and on the go but I just ate the wrong foods.
"McDonald's and Chinese food are my favourites and I was always popping into Greggs on the playgroup run."
Dawn said her mum used to poke fun at her 'Winnie the Pooh belly' and she became embarrassed when the woman who runs the 'cob van' knew her order every day.
The mum said: "Shortbread is my real downfall but we would also snack on chocolate and crisps, sitting on the settee binging on them every night.
"We would eat takeaways every night and between Mark and myself could get through at least half a loaf of bread at breakfast - just the two of us.
"It was getting ridiculous.
"In fact, it was so bad that the cob van lady always knew my order.
"I was living in leggings and T-shirts. It was just getting embarrassing.
Mark, 37, weighed in at almost 30 stone, and had diabetes and other health issues.
Said Dawn: "We just sat down and talked about our weight. We needed to be around for our girls."
After being inspired by Dawn’s mum’s incredible 10-stone weight loss, the couple joined her at the Woodville Slimming World group in January 2019 and saw results straight away.
Dawn said: "I had tried Slimming World before and it worked but I stopped going and piled the weight back on again.
"I told myself that I will stick this out and I am not going to give in like I normally do.
"Luckily I saw results straight away. In the first week I lost 9lbs and my clothes started feeling looser.
"I felt good and it really spurred me on.
"We used to be so negative and we were our own worst enemies because we had no motivation.
"Now we are so proud of each other."
Since joining the group Dawn, who was a size 26 to 28 and tipped the scales at 20 stone and half a pound, and dropped five dress sizes and weighed around 16 stone 7.5lb.
An incredible transformation in 33 weeks.
Mark was 29 stone 10lbs and wearing XXXXXXL clothes when they joined the group and now weighs 24 Stone 9.5 lbs and is now in XXXL clothing.
The pair’s weight loss has shocked lots of people, and many have commented on Dawn’s new figure.
She said: "My friends and family are all surprised at the difference in me but really proud.
"I cannot believe how much of a reaction I have been getting since losing the weight.
"I have had strangers coming up to me in the street saying 'I have seen you around and I can’t believe you have lost so much weight. You look great'.
"I am so proud of Mark, and the girls are always excited to see if we have bought any certificates back.
"It just shows that if I can do it, I believe anyone can.
"I used to have anxiety and panic attacks but now I sit up in the group and I give out advice.
"I won woman of the year 2019 and together we won Slimming World couple of the year for 2019.
"I feel so much better, so much healthier since losing weight."
The couple, who run their own company, MD Smiths LTD (Electrical Contractors), are already making big plans for the future.
Dawn said: "The only time I have gained weight in 33 weeks is when I went on holiday to Greece.
"I am tall so I want to lose another three stone and Mark wants to lose a total of 10 stone this year.
"I am going to be 30 in March and I really want to have a big party and wear a nice dress and impress.
"I want people to say 'oh my god' and be shocked at how I look. I can’t wait."
Then and now: A typical day of food for Dawn
Then
Breakfast: Four rounds of white toast, cup of tea and a packet of biscuits
Lunch: Cob with bacon, sausage and black pudding
Tea: Kebab
Snacks: Crisps and chocolate throughout the day
Now
Breakfast: Branflakes and green tea
Lunch: Homemade quiche and salad
Tea: Fajitas and salad
Snacks: Strawberries


Admin Profile
Manage Themes
Manage Quiz
Manage Moderators
Manage Forum Comments
Manage Users
Manage User Readings
Manage Emails
Generate Reports
Manage Reports
Orders
Order Details


- tearDown() - Method in class com.example.bobslittlefreelibrary.MainActivityTest
-
Closes the activity after each test
- testArrayAddDelete() - Method in class com.example.bobslittlefreelibrary.UserTest
-
Uses 2 Book instances, First array size is confirmed to be 0 then both book classes
are added to the array asserting that the array increases appropriately between each one
and addBook() works as it should then one is removed from the array testing that
Remove() works appropriately and the getBooks() method is constantly tested throughout this
process
- testGetSetReqStatus() - Method in class com.example.bobslittlefreelibrary.RequestTest
-
- testGetStaticReqInfo() - Method in class com.example.bobslittlefreelibrary.RequestTest
-
- testGetterExcludeArray() - Method in class com.example.bobslittlefreelibrary.UserTest
-
Tests getters by creating an instance of User() then storing all it's values and asserting
they are as expected
- testGetters() - Method in class com.example.bobslittlefreelibrary.BookTest
-
Creates instances of a User and Book Class and stores they're values
then proceeds to check if each of their getters returns the correct values
which would be the ones hardcoded in the mockBook() method above
- testSetterExcludeArray() - Method in class com.example.bobslittlefreelibrary.UserTest
-
Tests setters by creating an instance of a user and first checking that the values are
initially as should be then the values are changed using setter methods and stored again and
checked to see if the new values have been properly set
- testSetters() - Method in class com.example.bobslittlefreelibrary.BookTest
-
Tests setters using an instance of a Book() and an of User(), first we use getters
to store the values of the initial User() (from the Book() class) to ensure they
aren't being changed before hand then on the second instance of an equivalent User()
We set the values to arbitrary new values and then assert through getters once again that
the instances values have indeed changed to the new specified values


1 When day came, the king went to the building, and was amazed to see in the trap the thief's body without a head, yet the building intact, with no way in or out. At a loss, he did as follows: he suspended the thief's body from the wall and set guards over it, instructing them to seize and bring to him any whom they saw weeping or making lamentation.
2 But the thief's mother, when the body had been hung up, was terribly stricken: she had words with her surviving son, and told him that he was somehow to think of some way to cut loose and bring her his brother's body, and if he did not obey, she threatened to go to the king and denounce him as having the treasure.


--- layout: page ---
Saint Mary-of-the-Woods College
1 St Mary of Wood Coll
Saint Mary-of-the-Woods, IN 47876
(812) 535-5212
<EMAIL_ADDRESS>www.smwc.edu
Sisters of Providence
1 Sisters of Providence Road
Saint Mary-of-the-Woods, IN 47876
(812) 535-3131
www.spsmw.org
The Saint Mary-of-the-Woods Historic District is located five miles northwest of Terre Haute, Indiana. Several major metropolitan areas — Indianapolis, St. Louis, Chicago, Louisville — are just within a short drive of the District.


User numbers
Total count:
Invited:
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No stats found!


Any contribution in form of PRs, creating issues or taking part in discussions is highly valued.
Go to GitHub


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Would you like to meet the NZ mobile development community, listen to expert speakers and find out all about the latest trends in mobile technologies? Then join us at Mobile Refresh Wellington 2018, NZ’s largest mobile developer conference.
Our one-day event on September 7, 2018 at Victoria University Wellington aims to bring together 200+ mobile technology enthusiasts. The conference attracts attendees who are interested in learning and debating about the latest developments announced at Google I/O and WWDC and general trends in mobile technologies.
Mobile Refresh Wellington will provide content for designers, developers, testers, or just about anyone passionate about mobile development. The conference is technology agnostic, we’re not a dedicated Android, iOS or mobile web event. We want to encourage attendees to look beyond their day-to-day platform of choice and keep up to date with more general trends in mobile tech.
We look forward to spending a day of learning and sharing with all of you. Until then, you can reach us via Twitter or Slack.
Google Developer Group (GDG) Wellington is a friendly, inclusive, supportive, accessible, and community focused group of people that meet regularly to discuss the latest developments in Google’s ecosystem.
Cocoaheads Wellington is a group devoted to the discussion of Apple's Cocoa and CocoaTouch Frameworks for programming on iOS, watchOS, tvOS, and macOS.
Disclaimer: GDG Wellington is an independent group; our activities and the opinions expressed here should in no way be linked to Google, the corporation.
We expect all people attending at our event to have read and accepted our Code of Conduct.


Pull white sidebar to the right
Ethan Hawke
Natalie Portman
Kevin Spacey
Rosamund Pike
Robert Redford
Scarlett Johansson
Tom Cruise
Eva Green
Paul Newman
Thomas Break
status
Huehue Huehue
Such SVG, much Javascript, very CSS!
Wow!
Very elastic! Such easings!
Check out my other
pens


All Classes
Packages
cmput301f17t13.com.catisadog.activities
cmput301f17t13.com.catisadog.activities.history
cmput301f17t13.com.catisadog.activities.social
cmput301f17t13.com.catisadog.activities.summary
cmput301f17t13.com.catisadog.fragments.history
cmput301f17t13.com.catisadog.fragments.social
cmput301f17t13.com.catisadog.fragments.summary
cmput301f17t13.com.catisadog.models
cmput301f17t13.com.catisadog.models.followrequest
cmput301f17t13.com.catisadog.models.habit
cmput301f17t13.com.catisadog.models.habitevent
cmput301f17t13.com.catisadog.models.user
cmput301f17t13.com.catisadog.utils
cmput301f17t13.com.catisadog.utils.auth
cmput301f17t13.com.catisadog.utils.data
cmput301f17t13.com.catisadog.utils.date
cmput301f17t13.com.catisadog.utils.testing


Hello world. I’m Eric Gardner, a designer and developer living in Los Angeles.
Currently I’m imagining the future of art publishing at the Getty as digital publication developer. Previously I worked at the Hammer Museum. I spend about equal parts of my time on visual design and writing code (mainly Ruby and Javascript).
My other interests include analog and digital photography, bicycling, and social justice.
Feel free to view my past work, or to read some of my writing. This site was hand-built using Middleman, a CMS-free static site generator, and is still under active development.


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Smith
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Anderson


It is clear by looking at the table that many schools have experienced a drop in attendance over the last 5 to 15 years. Listening to the reports in the media, many of the complaints coming from the teachers unions is that class sizes are increasing. Due to the number of teacher positions that have been cut over the last few years, I have to wonder what programs and classes are being cut in order to push the class sizes up?
This data set only tells one side of the story. Open Data is like a book and each dataset is a chapter telling part of the story. I would ask that the province considers releasing a new dataset which shows a breakdown of all of the classes offered in each school per year. This makes a little more sense at the high school level than it does at an elementary level. But even at the youngest levels we could see how many children are in each elementary class. The data set would serve a few purposes.
- We could confirm that class sizes are indeed going up
- We could analyze and see which programs and classes are being cut. Are any of those critical?
- Are enough of our kids taking the vital courses needed to succeed in today's economy?
- Data could be compared against industry data to push kids into the right classes
Another area the new data set could benefit from is releasing gender statistics. Many work fields are dominated by one sex or the other. In the tech industry there is a big movement to ensure there is gender equality. Promoting technology to young women and encouraging them to enter the field is an important step. I think if the Education Department of PEI were to release the new data set to include the gender breakdown in each class would be a great step in understanding the trends of who are taking tech classes. Promotion and encouragement at a young age is important.
This is a great first step for the Open Data movement on PEI. I was so happy to see many departments buy into the system and release 1-2 data sets to start. Not trying to do too much too early. I hope that over time each department in government realizes the importance of open data and continues to open more data and listen to their data consumers on ways to improve and grow.
Edit It was pointed out to me after posting the article that the size of many elementary schools are growing. In interesting analysis would be to look at those numbers and forcast how large the high schools are expected to be in the future.


"Ssao" fragment shader.
More...
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| layout (binding=0) uniform sampler2D depthTexture |
| | Depth texture.
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| layout (binding=1) uniform sampler2D normalTexture |
| | Normal texture, in [0,1].
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| layout (binding=2) uniform sampler2D noiseTexture |
| | 5x5 3-components noise texture with float precision.
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| |
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| layout (location=0) out float fragColor |
| | SSAO.
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| |
| float | linearizeDepth (float depth) |
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| vec3 | positionFromUV (vec2 uv) |
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| void | main () |
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| In |
| | vec2 uv;
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uniform mat4 | projectionMatrix |
| | The camera projection parameters.
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uniform vec3 | samples [24] |
| | Unique sample directions on a sphere.
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uniform float | radius = 0.5 |
| | The sampling radius.
|
| |
◆ linearizeDepth()
| float GLSL::Frag::Ssao::linearizeDepth |
( |
float |
depth | ) |
|
|
inline |
Linearize a NDC space to view space using the camera projection parameters.
- Parameters
-
| depth | the non-linear depth |
- Returns
- the linear depth
◆ main()
| void GLSL::Frag::Ssao::main |
( |
| ) |
|
|
inline |
Estimate the screen space ambient occlusion in the scene.
◆ positionFromUV()
| vec3 GLSL::Frag::Ssao::positionFromUV |
( |
vec2 |
uv | ) |
|
|
inline |
Estimate the view space position of a given fragment.
- Parameters
-
| uv | The texture coordinates of the fragment |
- Returns
- the view space position
The documentation for this class was generated from the following file:
- resources/common/shaders/gbuffer/ssao.frag


Brief
File Basics
C++ provides the fstream
(file stream) library to perform output and input of characters to/from files. The library presents us with two objects:
- ofstream: Stream class to write to files (output file stream)
- ifstream: Stream class to read from files (input file stream)
To create ifstream
objects and ofstream
objects we write the following code:
To modify files, it is required to open them. Once your modifications are done, you can close the file.
For the case of inFile
, you must open a file by calling the object’s open
method before performing read operations on it.
Once you are done operating on your file, you are to close the file.
When one does not want to access data that is past the end of the file, use inFile.eof()
which returns a boolean representing whether the end of the file has been reached.
Writing to Files
With an ofstream
object, you are able to write to files.
The code above opens myFile.txt
using the ofstream
object outFile
. It then writes the values of doubleNum
and intNum
into the file. Notice that between writing the values into the file, a whitespace is written. This is done so that the numbers are kept separate and could be read back individually. Following the new line, a full sentence is then written to the file.
Reading From Files
With an ifstream
object, you are able to read from files. There are multiple ways of approaching this:
The code above opens myFile.txt
using the ifstream object inFile
. It then reads in the values 2 and 5 into doubleNum
and intNum
respectively. To read a line from the the file, the getline()
function is used.
Writing and Reading Binary Objects
Applying what we learned above, we will read and write binary objects into and out of a file.
There are a few differences when dealing with binary objects. When you plan on writing an object to a file, you need to specify you will be appending to the file by including the ios::app
flag in the open
method. When writing, you will pass two parameters to the read
method: a character pointer to your object and the size of the object.
- Previous
- Next


{% extends "notify/base.html" %} {% block page_primary_action %}
| {{ _('Webhook URL') }} | {{ _('Slack Channel') }} | |
|---|---|---|
| {{ channel.webhook_url }} | {{ channel.slack_channel }} | {% set locale = h.dump_json({'content': _('Are you sure you want to delete this notification channel?')}) %} |
{% trans %}You have not added a slack notification channel{% endtrans %}
| {{ _('Email Address') }} | |
|---|---|
| To: {{ channel.email }} | {% set locale = h.dump_json({'content': _('Are you sure you want to delete this notification channel?')}) %} |
{% trans %}You have not added an email notification channel{% endtrans %}
{% trans %} You will, most likely, need only one channel of notification - either email or slack. However, you can add both channels if you need them. It's also possible to have two or more email or slack notification channels. {% endtrans %}
{% endblock %}


Overview¶
General presentation of what is the Substra framework.
Substra is a framework offering distributed orchestration of machine learning tasks among partners while guaranteeing secure and trustless traceability of all operations.
Data scientist:
Use your own ML algorithm with any Python ML framework
Ship your algorithm on remote data for training and/or prediction and monitor their performances
Build advanced Federated Learning strategies for learning accross several remote datasets
Data controllers:
Make your dataset(s) available to other partners for training/evaluation, being sure that it cannot be downloaded
Choose fine tuned permissions for your dataset to control its lifecycle
Monitor how your data were used
Engage in advanced multi-partner data science collaborations, even with partners owning competing datasets
Substra aims at being compatible with privacy-enhancing technologies to complement their use to provide efficient and transparent privacy-preserving workflows for data science. Its ambition is to make new scientific and economic data science collaborations possible.
The sofware is Open Source, published under an Apache-2.0 license and the forge is located on Substra Foundation’s Github repositories.
General definitions & resources¶
Substra is a framework for operating distributed Machine Learning that aims at providing tool for traceable Data Science.
Data locality: Data remain in their owner’s data stores and are never transferred. AI models travel from one dataset to another.
Decentralized trust: All operations are orchestrated by a distributed ledger technology. There is no need for a single trusted actor or third party: security arises from the network.
Traceability: An immutable audit trail registers all the operations realized on the platform, simplifying certification of models.
Modularity: Substra framework is highly flexible: various permission regimes and workflow structures can be enforced corresponding to every specific use case.
Roots¶
Substra Foundation has published open access materials that will provide you with a great overview of the project:
Find your way in this documentation¶
Data scientist & data engineer¶
If you are looking at how to start a data science project with Substra installed in your IT environment, you might directly want to check the usage section.
System administrator, devops engineer, SRE¶
If you interested in installing Substra, please refer to the installation section.
Software engineer¶
If you are interested in understanding how Substra works maybe how to contribute, please have a look over here:
About this collaborative documentation¶
First of all, thank you for coming here! We hope you have found what you were looking for! Otherwise, help yourself and let us know what you would love to see here or there!
This set of documentation is still in early stage and therefore open for contributions, we are really eager to receive user perspectives!
The documentation lives here: Substra Documentation.


{%- if include.playlist -%} This browser does not support the YouTube video player.  Watch on YouTube {%- endif -%} {%- if include.title -%} {% capture label %}{{ include.title | escape_once }} | youtu.be/{{ include.id }}{% endcapture %} {%- else -%} {% capture label %}youtu.be/{{ include.id }}{% endcapture %} {%- endif -%}
This browser does not support the YouTube video player. Watch on YouTube


Getting Involved with the Clang Project
Once you have checked out and built clang and played around with it, you might be wondering what you can do to make it better and contribute to its development. Alternatively, maybe you just want to follow the development of the project to see it progress.
Follow what's going on
Clang is a subproject of the LLVM Project, but has its own mailing lists because the communities have people with different interests. The two clang lists are:
- cfe-commits - This list is for patch submission/discussion.
- cfe-dev - This list is for everything else clang related (questions and answers, bug reports, etc).
If you are interested in clang only, these two lists should be all you need. If you are interested in the LLVM optimizer and code generator, please consider signing up for llvmdev and llvm-commits as well.
The best way to talk with other developers on the project is through the cfe-dev mailing list. The clang mailing list is a very friendly place and we welcome newcomers. In addition to the cfe-dev list, a significant amount of design discussion takes place on the cfe-commits mailing list. All of these lists have archives, so you can browse through previous discussions or follow the list development on the web if you prefer.
If you're looking for something to work on, check out our Open Projects page or go look through the Bugzilla bug database.


White LED application using a varying amount of red Y(OH) 3:Eu 3+ phosphors (fabricated at 60 min with a 20% doping ratio) combined with YAG:Ce 3+ phosphor and their corresponding (a) CRI, CCT, (b) luminous efficacy (LER), lumens, and (c) CIE color coordinates.


--- creation_epoch:<PHONE_NUMBER> lastmod_epoch:<PHONE_NUMBER> categories: ['Tech Tricks'] title: Setting Windows network settings from the command line --- Credit to:
wmic computersystem where name="%COMPUTERNAME%" call rename name="NEW NAME HERE"
netsh interface ip set address name="Local Area Connection" static <IP_ADDRESS> <IP_ADDRESS> <IP_ADDRESS>


This is a simple presentation of weird border in our bootstrap exercises.
This is a simple presentation of weird border in our bootstrap exercises.
This is a simple presentation of weird border in our bootstrap exercises.
Hello WorldHello WorldHello WorldHello WorldHello World


{{+bindTo:partials.standard_nacl_api}}
| int64_t | size |
| PP_FileType | type |
| PP_FileSystemType | system_type |
| PP_Time | creation_time |
| PP_Time | last_access_time |
| PP_Time | last_modified_time |
The PP_FileInfo
struct represents all information about a file, such as size, type, and creation time.
This value represents the creation time of the file.
This value represents the last time the file was accessed.
This value represents the last time the file was modified.
| int64_t PP_FileInfo::size |
This value represents the size of the file measured in bytes.
This value represents the file system type of the file as defined by the PP_FileSystemType
enum.
This value represents the type of file as defined by the PP_FileType
enum.


MFLogger class
MFLogger is a class for logging that provides some enhanced capability such as capturing log calls, package filtering, and log level control at both global and individual package scope.
It also provides a method call to send captured logs to the IBM MobileFirst Platform server.
Log file data is sent to the IBM MobileFirst Platform server when this class's send() method is called and the accumulated log size is greater than zero. When the log data is successfully uploaded, the persisted local log data is deleted.
When this Logger class's capture flag is turned on via setCapture(true) method call, all messages passed through this class's log methods will be persisted to store in the following JSON object format:
{
"timestamp" : "17-02-2013 13:54:27:123", // "dd-MM-yyyy hh:mm:ss:S"
"level" : "ERROR", // FATAL || ERROR || WARN || INFO || LOG || DEBUG || TRACE
"package" : "your_tag", // typically a class name, app name, or JavaScript object name
"msg" : "the message", // a helpful log message
"metadata" : {"hi": "world"}, // (optional) additional JSON metadata, appended via doLog API call
"threadid" : long // (optional) id of the current thread
}
Constructors
Properties
- hashCode → int
-
The hash code for this object. [...]
read-only, inherited
- packageName ↔ String
-
read / write
- runtimeType → Type
-
A representation of the runtime type of the object.
read-only, inherited
Methods
-
debug(
{String message, Map metadata}) → void -
Logs the
message
atDEBUG
level with any optionalmetadata
-
error(
{String message, Map metadata}) → void -
Logs the
message
atERROR
level with any optionalmetadata
-
info(
{String message, Map metadata}) → void -
Logs the
message
atINFO
level with any optionalmetadata
-
log(
{String message, Map metadata}) → void -
Logs the
message
atVERBOSE
level with any optionalmetadata
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a non-existent method or property is accessed. [...]
inherited
-
toString(
) → String -
Returns a string representation of this object.
inherited
-
trace(
{String message, Map metadata}) → void -
Logs the
message
atTRACE
level with any optionalmetadata
-
warn(
{String message, Map metadata}) → void -
Logs the
message
atWARN
level with any optionalmetadata
Operators
-
operator ==(
Object other) → bool -
The equality operator. [...]
inherited
Static Methods
-
getCapture(
) → Future< bool> - Returns whether the Logging is enabled or not
-
getLevel(
) → Future< String> - Returns the current Logger level.
-
getMaxFileSize(
) → Future< int> - Returns the current setting for the maximum file size threshold.
-
send(
) → void - Sends the accumulated log data when the persistent log buffer exists and is not empty.
-
setCapture(
{bool flag}) → void - Turns logging on or off globally.
-
setLevel(
{String level}) → void - Sets the level and above at which log messages should be saved/printed.
-
setMaxFileSize(
{int bytes}) → void - Sets the maximum size of the local log file. [...]
-
updateConfigFromServer(
) → void - Reads the log configuration from the Mobile Foundation server and applies it to the logger.


Linear Algebra¶
General convenience routines to solve linear problems.
-
starry.linalg.
lnlike
(design_matrix, data, *, C=None, cho_C=None, mu=0.0, L=None, cho_L=None, N=None, woodbury=True)¶ Compute the log marginal likelihood of the data given a design matrix.
- Parameters
design_matrix (matrix) – The design matrix that transforms a vector from coefficient space to data space.
data (vector) – The observed dataset.
C (scalar, vector, or matrix) – The data covariance. This may be a scalar, in which case the noise is assumed to be homoscedastic, a vector, in which case the covariance is assumed to be diagonal, or a matrix specifying the full covariance of the dataset. Default is None. Either C or cho_C must be provided.
cho_C (matrix) – The lower Cholesky factorization of the data covariance matrix. Defaults to None. Either C or cho_C must be provided.
mu (scalar or vector) – The prior mean on the regression coefficients. Default is zero.
L (scalar, vector, or matrix) – The prior covariance. This may be a scalar, in which case the covariance is assumed to be homoscedastic, a vector, in which case the covariance is assumed to be diagonal, or a matrix specifying the full prior covariance. Default is None. Either L or cho_L must be provided.
cho_L (matrix) – The lower Cholesky factorization of the prior covariance matrix. Defaults to None. Either L or cho_L must be provided.
N (int, optional) – The number of regression coefficients. This is necessary only if both
mu
andL
are provided as scalars.woodbury (bool, optional) – Solve the linear problem using the Woodbury identity? Default is True. The Woodbury identity is used to speed up matrix operations in the case that the number of data points is much larger than the number of regression coefficients. In this limit, it can speed up the code by more than an order of magnitude. Keep in mind that the numerical stability of the Woodbury identity is not great, so if you’re getting strange results try disabling this. It’s also a good idea to disable this in the limit of few data points and large number of regressors.
- Returns
The log marginal likelihood, a scalar.
-
starry.linalg.
solve
(design_matrix, data, *, C=None, cho_C=None, mu=0.0, L=None, cho_L=None, N=None)¶ Solve the generalized least squares (GLS) problem.
- Parameters
design_matrix (matrix) – The design matrix that transforms a vector from coefficient space to data space.
data (vector) – The observed dataset.
C (scalar, vector, or matrix) – The data covariance. This may be a scalar, in which case the noise is assumed to be homoscedastic, a vector, in which case the covariance is assumed to be diagonal, or a matrix specifying the full covariance of the dataset. Default is None. Either C or cho_C must be provided.
cho_C (matrix) – The lower Cholesky factorization of the data covariance matrix. Defaults to None. Either C or cho_C must be provided.
mu (scalar or vector) – The prior mean on the regression coefficients. Default is zero.
L (scalar, vector, or matrix) – The prior covariance. This may be a scalar, in which case the covariance is assumed to be homoscedastic, a vector, in which case the covariance is assumed to be diagonal, or a matrix specifying the full prior covariance. Default is None. Either L or cho_L must be provided.
cho_L (matrix) – The lower Cholesky factorization of the prior covariance matrix. Defaults to None. Either L or cho_L must be provided.
N (int, optional) – The number of regression coefficients. This is necessary only if both
mu
andL
are provided as scalars.
- Returns
A tuple containing the posterior mean for the regression coefficients (a vector) and the Cholesky factorization of the posterior covariance (a lower triangular matrix).


{{ partial "header" . }}
1. Work with people to figure out if Netlify's service can solve a particular workflow or integration challenge they have
2. Work with the development team to help design a new feature based on feedback from customers
3. Debug a customer's build using a programming language and framework that you've never seen before
4. Dig through server logs to troubleshoot a customer's website behavior
5. Suggest and champion improvements to the product and workflow to your colleagues in and out of support
6. Set up your own copy of several static site frameworks for debugging
7. Receive occasional phone calls requesting support from our highest-value customers
8. Help train and onboard new support teammates
9. Help manage communications during a service outage
10. Deliver a talk to many people you don't know at a conference or meetup
11. Find and recruit teammates for the support team
12. Engage multiple users at once via chat to answer their questions and troubleshoot problems
13. Respond to Netlify fans on Twitter
14. Create video tutorials to help teach users a specific feature or use case
15. Manage a support team
16. Analyze thousands of support tickets to spot trends to improve our product
17. Write and maintain documentation for our software and blog posts for our website.
18. Work with prospective customers to explain our service and the pricing model
19. Respond to 60+ support requests via email or chat every day
The thing I enjoy the most, is knowing I found a solution to an issue and helped someones day a lot easier.
I enjoyed it, I wanted to deploy several gen tools, I got 1 click happy I must admit.
I picked Hugo because it was the first one that I read about. I used the 1 click methond, connected to my github account. I then copied and paste the questions.
I first created a repo in my github account and then tried to deploy the gen tool. I encountered a few issues with that. I took a second approach by deploying the gen tool by using the one-click method which that process then created the master repo and deployed the code base. The only way I got around my road block was by trial and error.
The test is great, youve got an awesome product. You could however add in a few images in instructions exercises. I'm more of a visual and hands on type of person.
Secure communication is not only a need but a requirement. Secure connections keep your communitions secure and not exposed to a man in the middle attack.
Thank you for reaching out I would to love look into that for you. Sorry to hear the site wont build, can you please share some details around this issue;
1. What steps have you taken thus far?
2. Can you share some details around any messages you are receiving?
3. Whats the last step you took before seeing the site not building?


How to save time with ZSH completion system
What you, as software engineer, usually do? Right! You create new gitbranches almost every day, even more than once per day. For example, one of myeveryday patterns following:
- Look into the board in JIRA;
- Open one of assigned to me ticket;
- Move it to "In progress" status if it isn't yet;
- Copy a key of the ticket;
- Go to my command line;
- Create a branch with the same name as the ticket's key, i.e.
feature/EXMPL-1234
.
I have seen many times in different companies attempts of simplifying of that process: bookmarklets that copy for you current tickets or browser extensions that complement JIRA ticketswith copy button UI etc.
In one day I decided to return to my old idea to learn about ZSH completion system and create completion that will do for me dirty job. And I've created it.
I use Git aliases in my Git setup and it works like a charm: you can create shorthands for all of operationsthat you do from console every day when you touch upon Git repositories, i.e.:
; ~/.gitconfig
; ...
[alias]
co = checkout
; ...
Using that config you can easily do some everyday routine:
~ git co my-awesome-branch
Great part of this functionality that autocompletion will works even with your aliases in ZSH. So, imagine that you would like to create alias for start point of your Git flow:
; ~/.gitconfig
; ...
[alias]
co = checkout
; Flow Branch
fb = ! git checkout dev && git pull && git co -b
; ...
For our new alias git fb
we've used alias that starts with exclamation markbecause our command isn't just mapping from value to name of sub-command of git — it is list of commands.
So, imagine that you'd like to have completion for your name of tickets that will be based on your JIRA. It will be useful, right? I'm using ZSH as my shell and I will provide example of realization based on this shell.
ZSH can automatically load functions for you from folders that you specify invariable fpath inside your ZSH initialization scripts, i.e. in ~/.zshrc
:
fpath=(~/.zsh $fpath)
This instruction tells a shell to check scripts inside ~/.zsh/
folder when corresponding function was called. For example, let's create one of our functions:
# ~/.zsh/foo
echo "Initialized"
function foo() {
echo "Called"
}
foo $@
, and also let's update our ~/.zshrc
script to automatically load function when we will call it:
# ~/.zshrc
# ...
fpath=(~/.zsh $fpath)
autoload foo
Now, when you call foo
for the first time, you will see message Initialized
, then — message Called
. After second time only a message Called will be printed.Thus, this system provide a way to initialize your scripts and automaticallyload definitions based on fpath
.
But now, let's talk about completion system. In zsh it based on loading systemthat we discussed previously. Let's create simple completion that will be based on command and won't depends on position of parameter. For example, we want to create some custom completion for some existing binary, i.e. ls
:
#compdef ls
#
# ~/.zsh/_ls
params=(One Two)
_describe 'command' params
The name of loadable function with underscore at start it is one of requirements of completion system. Other requirement is header of file: #compdef ...
. This header describe command or other options for your autocomplete function. In this script we initialize array of strings that will be used as our completion items and the last line is one of the ZSH completion functions that provide the simplest way to describe completion options.
Okay, it is possible to describe completion for executables and it's options. But what about our git aliases that we've created for git. Good news here that ZSH autocompletion scripts that come with Git, at least on OSX, provide to you way to describe completion for your Git aliases that will works as expected: you just need to create $fpath/_git_<your alias here>
completion script and itwill be invoked with your Git alias.
Using this way of describing completion of git alias I've created script that will do for me a task that I described in the beginning of article:
#compdef git-fb
local<EMAIL_ADDRESS>local token=${ATLASSIAN_TOKEN}
local jira_host=${$JIRA_HOST:-example.atlassian.com}
local script='
let result = "";
process.stdin.on("data", (c) => result += c);
process.stdin.on("end", () => {
JSON.parse(result).issues.map((i) => {
const short = i.fields.summary
.replace(/\[\w+\]/g, "")
.replace(/\s/g, "-")
.toLowerCase()
.match(/\w+(-\w+){1,2}/)[0]
console.log(`feature/${i.key}:${i.fields.summary}`)
});
});
';
local IFS=$'\n';
params=($(function () {
local query="assignee=currentuser()%20AND%20status=%22In%20Progress%22";
local params="jql=${query}&fields=summary"
curl -s -u "${email}:${token}" \
"https://${jira_host}/rest/api/3/search\?${params}" \
| node -e $script
}))
_describe 'command' params
This is script that goes to JIRA REST API and asks about all tickets that currently "In progress" and assigned to current user (it is specified by token and email variables) and format using simple Node.js script names of branches from key of tickets and, also, builds completion menu with all available variants for current argument prefix with the corresponding description of all filtered tickets.
Tricky part of this script is Node.js script that is being using to transform received from JIRA REST API endpoint JSON. It cannot be easily done with only UNIX text tools, i.e. sed, grep, awk etc. It will be depends on structure of JSON and will be to fragile. That's why I used Node.js in this part of script. Characteristic of Node.js is it's own callback-style way of describing asynchronous logic, thence, this script looks too complex.
I've rewrote it to Python and after that this part of logic becomes cleaner:
#compdef git-fb
local<EMAIL_ADDRESS>local token=${ATLASSIAN_TOKEN}
local jira_host=${$JIRA_HOST:-example.atlassian.com}
local script='
import sys,json,re
issues = json.load(sys.stdin)["issues"]
pat = re.compile("\w+(-\w+){1,2}")
for issue in issues:
short = pat.search(re.sub(r"\s", "-", re.sub(r"\[\w+\]", "", issue["fields"]["summary"])).lower()).group(0)
key = issue.get("key")
summary = issue.get("fields").get("summary")
print(f"feature/{key}-{short}:{summary}")
';
local IFS=$'\n';
params=($(function () {
local query="assignee=currentuser()%20AND%20status=%22In%20Progress%22";
local params="jql=${query}&fields=summary"
curl -s -u "${email}:${token}" \
"https://${jira_host}/rest/api/3/search\?${params}" \
| python3 -c $script
}))
_describe 'command' params
Also important to note that in this script items of completion formatted using item:description
pattern. This pattern of item is used by ZSH to format menu of completion with one line per item with description. It looks like that:
~ git fb EXMPL- # >TAB
feature/EXMPL-1234 - This is description of ticket
feature/EXMPL-5678 - This is other description of other ticket
- Previous: How to execute JS like a binary
- Next: Class prototype


| | |
- django.contrib.auth.models.AbstractUser(django.contrib.auth.base_user.AbstractBaseUser, django.contrib.auth.models.PermissionsMixin)
-
- CustomUser
- django.db.models.base.Model(builtins.object)
-
- Profile
class CustomUser(django.contrib.auth.models.AbstractUser) |
| |
CustomUser(*args, **kwargs)
CustomUser(id, password, last_login, is_superuser, username, first_name, last_name, email, is_staff, is_active, date_joined, phone, registerddate, is_banned, Email_Adress, role, phone_vertified, email_vertified, is_premium_account, Adress, optional_adress) |
| |
- Method resolution order:
- CustomUser
- django.contrib.auth.models.AbstractUser
- django.contrib.auth.base_user.AbstractBaseUser
- django.contrib.auth.models.PermissionsMixin
- django.db.models.base.Model
- builtins.object
Methods defined here:
Adress = <django.db.models.query_utils.DeferredAttribute object>
Email_Adress = <django.db.models.query_utils.DeferredAttribute object>
email_vertified = <django.db.models.query_utils.DeferredAttribute object>
- get_next_by_date_joined = _method(self, *, field=<django.db.models.fields.DateTimeField: date_joined>, is_next=True, **kwargs)
- get_next_by_registerddate = _method(self, *, field=<django.db.models.fields.DateTimeField: registerddate>, is_next=True, **kwargs)
- get_previous_by_date_joined = _method(self, *, field=<django.db.models.fields.DateTimeField: date_joined>, is_next=False, **kwargs)
- get_previous_by_registerddate = _method(self, *, field=<django.db.models.fields.DateTimeField: registerddate>, is_next=False, **kwargs)
- get_role_display = _method(self, *, field=<django.db.models.fields.CharField: role>)
id = <django.db.models.query_utils.DeferredAttribute object>
is_banned = <django.db.models.query_utils.DeferredAttribute object>
is_premium_account = <django.db.models.query_utils.DeferredAttribute object>
optional_adress = <django.db.models.query_utils.DeferredAttribute object>
phone = <django.db.models.query_utils.DeferredAttribute object>
phone_vertified = <django.db.models.query_utils.DeferredAttribute object>
registerddate = <django.db.models.query_utils.DeferredAttribute object>
role = <django.db.models.query_utils.DeferredAttribute object>
Data descriptors defined here:
- commenter
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- groups
- Accessor to the related objects manager on the forward and reverse sides of
a many-to-many relation.
In the example::
class Pizza(Model):
toppings = ManyToManyField(Topping, related_name='pizzas')
``Pizza.toppings`` and ``Topping.pizzas`` are ``ManyToManyDescriptor``
instances.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- logentry_set
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- messenger
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- price_user
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- product_ordered_by
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- product_owner
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- product_user
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- profile
- Accessor to the related object on the reverse side of a one-to-one
relation.
In the example::
class Restaurant(Model):
place = OneToOneField(Place, related_name='restaurant')
``Place.restaurant`` is a ``ReverseOneToOneDescriptor`` instance.
- transport_ordered_by
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- transport_owner
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- transport_user
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- user_permissions
- Accessor to the related objects manager on the forward and reverse sides of
a many-to-many relation.
In the example::
class Pizza(Model):
toppings = ManyToManyField(Topping, related_name='pizzas')
``Pizza.toppings`` and ``Topping.pizzas`` are ``ManyToManyDescriptor``
instances.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
- wanted_product_user
- Accessor to the related objects manager on the reverse side of a
many-to-one relation.
In the example::
class Child(Model):
parent = ForeignKey(Parent, related_name='children')
``Parent.children`` is a ``ReverseManyToOneDescriptor`` instance.
Most of the implementation is delegated to a dynamically defined manager
class built by ``create_forward_many_to_many_manager()`` defined below.
Data and other attributes defined here:
- DoesNotExist = <class 'main.models.CustomUser.DoesNotExist'>
- MultipleObjectsReturned = <class 'main.models.CustomUser.MultipleObjectsReturned'>
Methods inherited from django.contrib.auth.models.AbstractUser:
- clean(self)
- Hook for doing any extra model-wide validation after clean() has been
called on every field by self.clean_fields. Any ValidationError raised
by this method will not be associated with a particular field; it will
have a special-case association with the field defined by NON_FIELD_ERRORS.
date_joined = <django.db.models.query_utils.DeferredAttribute object>
email = <django.db.models.query_utils.DeferredAttribute object>
- email_user(self, subject, message, from_email=None, **kwargs)
- Send an email to this user.
first_name = <django.db.models.query_utils.DeferredAttribute object>
- get_full_name(self)
- Return the first_name plus the last_name, with a space in between.
- get_short_name(self)
- Return the short name for the user.
is_staff = <django.db.models.query_utils.DeferredAttribute object>
last_name = <django.db.models.query_utils.DeferredAttribute object>
username = <django.db.models.query_utils.DeferredAttribute object>
Data and other attributes inherited from django.contrib.auth.models.AbstractUser:
- EMAIL_FIELD = 'email'
- Meta = <class 'django.contrib.auth.models.AbstractUser.Meta'>
- REQUIRED_FIELDS = ['email']
- USERNAME_FIELD = 'username'
- objects = <django.contrib.auth.models.UserManager object>
- username_validator = <django.contrib.auth.validators.UnicodeUsernameValidator object>
Methods inherited from django.contrib.auth.base_user.AbstractBaseUser:
- __str__(self)
- Return str(self).
- check_password(self, raw_password)
- Return a boolean of whether the raw_password was correct. Handles
hashing formats behind the scenes.
- get_session_auth_hash(self)
- Return an HMAC of the password field.
- get_username(self)
- Return the username for this User.
- has_usable_password(self)
- Return False if set_unusable_password() has been called for this user.
last_login = <django.db.models.query_utils.DeferredAttribute object>
- natural_key(self)
password = <django.db.models.query_utils.DeferredAttribute object>
- save(self, *args, **kwargs)
- Save the current instance. Override this in a subclass if you want to
control the saving process.
The 'force_insert' and 'force_update' parameters can be used to insist
that the "save" must be an SQL insert or update (or equivalent for
non-SQL backends), respectively. Normally, they should not be set.
- set_password(self, raw_password)
- set_unusable_password(self)
Class methods inherited from django.contrib.auth.base_user.AbstractBaseUser:
- get_email_field_name() from django.db.models.base.ModelBase
- normalize_username(username) from django.db.models.base.ModelBase
Readonly properties inherited from django.contrib.auth.base_user.AbstractBaseUser:
- is_anonymous
- Always return False. This is a way of comparing User objects to
anonymous users.
- is_authenticated
- Always return True. This is a way to tell if the user has been
authenticated in templates.
Data and other attributes inherited from django.contrib.auth.base_user.AbstractBaseUser:
- is_active = True
Methods inherited from django.contrib.auth.models.PermissionsMixin:
- get_all_permissions(self, obj=None)
- get_group_permissions(self, obj=None)
- Return a list of permission strings that this user has through their
groups. Query all available auth backends. If an object is passed in,
return only permissions matching this object.
- get_user_permissions(self, obj=None)
- Return a list of permission strings that this user has directly.
Query all available auth backends. If an object is passed in,
return only permissions matching this object.
- has_module_perms(self, app_label)
- Return True if the user has any permissions in the given app label.
Use similar logic as has_perm(), above.
- has_perm(self, perm, obj=None)
- Return True if the user has the specified permission. Query all
available auth backends, but return immediately if any backend returns
True. Thus, a user who has permission from a single auth backend is
assumed to have permission in general. If an object is provided, check
permissions for that object.
- has_perms(self, perm_list, obj=None)
- Return True if the user has each of the specified permissions. If
object is passed, check if the user has all required perms for it.
is_superuser = <django.db.models.query_utils.DeferredAttribute object>
Methods inherited from django.db.models.base.Model:
- __eq__(self, other)
- Return self==value.
- __getstate__(self)
- Hook to allow choosing the attributes to pickle.
- __hash__(self)
- Return hash(self).
- __init__(self, *args, **kwargs)
- Initialize self. See help(type(self)) for accurate signature.
- __reduce__(self)
- Helper for pickle.
- __repr__(self)
- Return repr(self).
- __setstate__(self, state)
- clean_fields(self, exclude=None)
- Clean all fields and raise a ValidationError containing a dict
of all validation errors if any occur.
- date_error_message(self, lookup_type, field_name, unique_for)
- delete(self, using=None, keep_parents=False)
- full_clean(self, exclude=None, validate_unique=True)
- Call clean_fields(), clean(), and validate_unique() on the model.
Raise a ValidationError for any errors that occur.
- get_deferred_fields(self)
- Return a set containing names of deferred fields for this instance.
- prepare_database_save(self, field)
- refresh_from_db(self, using=None, fields=None)
- Reload field values from the database.
By default, the reloading happens from the database this instance was
loaded from, or by the read router if this instance wasn't loaded from
any database. The using parameter will override the default.
Fields can be used to specify which fields to reload. The fields
should be an iterable of field attnames. If fields is None, then
all non-deferred fields are reloaded.
When accessing deferred fields of an instance, the deferred loading
of the field will call this method.
- save_base(self, raw=False, force_insert=False, force_update=False, using=None, update_fields=None)
- Handle the parts of saving which should be done only once per save,
yet need to be done in raw saves, too. This includes some sanity
checks and signal sending.
The 'raw' argument is telling save_base not to save any parent
models and not to do any changes to the values before save. This
is used by fixture loading.
- serializable_value(self, field_name)
- Return the value of the field name for this instance. If the field is
a foreign key, return the id value instead of the object. If there's
no Field object with this name on the model, return the model
attribute's value.
Used to serialize a field's value (in the serializer, or form output,
for example). Normally, you would just access the attribute directly
and not use this method.
- unique_error_message(self, model_class, unique_check)
- validate_unique(self, exclude=None)
- Check unique constraints on the model and raise ValidationError if any
failed.
Class methods inherited from django.db.models.base.Model:
- check(**kwargs) from django.db.models.base.ModelBase
- from_db(db, field_names, values) from django.db.models.base.ModelBase
Data descriptors inherited from django.db.models.base.Model:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- pk
|
class Profile(django.db.models.base.Model) |
| |
Profile(*args, **kwargs)
Profile(id, user, pic, bio, licencecopy, idimg) |
| |
- Method resolution order:
- Profile
- django.db.models.base.Model
- builtins.object
Methods defined here:
- __str__(self)
- Return str(self).
bio = <django.db.models.query_utils.DeferredAttribute object>
id = <django.db.models.query_utils.DeferredAttribute object>
Data descriptors defined here:
- idimg
- Just like the FileDescriptor, but for ImageFields. The only difference is
assigning the width/height to the width_field/height_field, if appropriate.
- licencecopy
- The descriptor for the file attribute on the model instance. Return a
FieldFile when accessed so you can write code like::
>>> from myapp.models import MyModel
>>> instance = MyModel.objects.get(pk=1)
>>> instance.file.size
Assign a file object on assignment so you can do::
>>> with open('/path/to/hello.world') as f:
... instance.file = File(f)
- pic
- Just like the FileDescriptor, but for ImageFields. The only difference is
assigning the width/height to the width_field/height_field, if appropriate.
- user
- Accessor to the related object on the forward side of a one-to-one relation.
In the example::
class Restaurant(Model):
place = OneToOneField(Place, related_name='restaurant')
``Restaurant.place`` is a ``ForwardOneToOneDescriptor`` instance.
- user_id
Data and other attributes defined here:
- DoesNotExist = <class 'main.models.Profile.DoesNotExist'>
- MultipleObjectsReturned = <class 'main.models.Profile.MultipleObjectsReturned'>
- objects = <django.db.models.manager.Manager object>
Methods inherited from django.db.models.base.Model:
- __eq__(self, other)
- Return self==value.
- __getstate__(self)
- Hook to allow choosing the attributes to pickle.
- __hash__(self)
- Return hash(self).
- __init__(self, *args, **kwargs)
- Initialize self. See help(type(self)) for accurate signature.
- __reduce__(self)
- Helper for pickle.
- __repr__(self)
- Return repr(self).
- __setstate__(self, state)
- clean(self)
- Hook for doing any extra model-wide validation after clean() has been
called on every field by self.clean_fields. Any ValidationError raised
by this method will not be associated with a particular field; it will
have a special-case association with the field defined by NON_FIELD_ERRORS.
- clean_fields(self, exclude=None)
- Clean all fields and raise a ValidationError containing a dict
of all validation errors if any occur.
- date_error_message(self, lookup_type, field_name, unique_for)
- delete(self, using=None, keep_parents=False)
- full_clean(self, exclude=None, validate_unique=True)
- Call clean_fields(), clean(), and validate_unique() on the model.
Raise a ValidationError for any errors that occur.
- get_deferred_fields(self)
- Return a set containing names of deferred fields for this instance.
- prepare_database_save(self, field)
- refresh_from_db(self, using=None, fields=None)
- Reload field values from the database.
By default, the reloading happens from the database this instance was
loaded from, or by the read router if this instance wasn't loaded from
any database. The using parameter will override the default.
Fields can be used to specify which fields to reload. The fields
should be an iterable of field attnames. If fields is None, then
all non-deferred fields are reloaded.
When accessing deferred fields of an instance, the deferred loading
of the field will call this method.
- save(self, force_insert=False, force_update=False, using=None, update_fields=None)
- Save the current instance. Override this in a subclass if you want to
control the saving process.
The 'force_insert' and 'force_update' parameters can be used to insist
that the "save" must be an SQL insert or update (or equivalent for
non-SQL backends), respectively. Normally, they should not be set.
- save_base(self, raw=False, force_insert=False, force_update=False, using=None, update_fields=None)
- Handle the parts of saving which should be done only once per save,
yet need to be done in raw saves, too. This includes some sanity
checks and signal sending.
The 'raw' argument is telling save_base not to save any parent
models and not to do any changes to the values before save. This
is used by fixture loading.
- serializable_value(self, field_name)
- Return the value of the field name for this instance. If the field is
a foreign key, return the id value instead of the object. If there's
no Field object with this name on the model, return the model
attribute's value.
Used to serialize a field's value (in the serializer, or form output,
for example). Normally, you would just access the attribute directly
and not use this method.
- unique_error_message(self, model_class, unique_check)
- validate_unique(self, exclude=None)
- Check unique constraints on the model and raise ValidationError if any
failed.
Class methods inherited from django.db.models.base.Model:
- check(**kwargs) from django.db.models.base.ModelBase
- from_db(db, field_names, values) from django.db.models.base.ModelBase
Data descriptors inherited from django.db.models.base.Model:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- pk
| |


He wanted to get the news of his hometown and the national and international news in one place and for that purpose he made a site where all of this can happen and he shared it with you so that you can benefit from this cool service too. This service allows you to cast the news about what is going around you. If you want to cast news about yourself you can cast to the world. where you can post news about your society and discuss about the news.


@benzittlau
benzittlau.com
springlaunched.com
<EMAIL_ADDRESS>What change detection is
How it's handled in React, Vue and Ember
How it's handled in Angular
How Angular atttempts to make this fast through monomorphism
How the Angular compiler is part of that stragety
Why monomorphism makes javascript faster (Inline Cache)
What object shapes are in Javascript
Data/Model/State
{
heroes: [
'Hiro Nakamura',
'Claire Bennet',
'Peter Petrelli'
]
}
Template
<% for hero in heroes %>
- <% hero %>
<% end %>
DOM
- Hiro Nakamura
- Claire Bennet
- Peter Petrelli
DOM changes are slow, so it's hard to make an app fast
Different approaches used by the different frameworks
No "right" answer
Data/Model/State
{
heroes: [
'Hiro Nakamura',
'Claire Bennet',
'Peter Petrelli',
'Matt Parkman'
]
}
Template
<% for hero in heroes %>
- <% hero %>
<% end %>
Virtual DOM
- Hiro Nakamura
- Claire Bennet
- Peter Petrelli
- Matt Parkman
DOM
- Hiro Nakamura
- Claire Bennet
- Peter Petrelli
Data/Model/State
{
heroes: [
'Hiro Nakamura',
'Claire Bennet',
'Peter Petrelli',
'Matt Parkman'
]
}
Template

<% for hero in heroes %>

<% hero %>

<% end %>

DOM

Hiro Nakamura

Claire Bennet

Peter Petrelli

Data/Model/State
{
heroes: [
'Hiro Nakamura',
'Claire Bennet',
'Peter Petrelli',
]
}
Next State
{
heroes: [
'Hiro Nakamura',
'Claire Bennet',
'Peter Petrelli',
'Matt Parkman'
]
}
Template
<% for hero in heroes %>
- <% hero %>
<% end %>
Virtual DOM
- Hiro Nakamura
- Claire Bennet
- Peter Petrelli
- Matt Parkman
Change detection is how frameworks know they need to update the view
Each framework uses a different strategy
Angular's strategy is to check each components state each "tick" to see if it's changed
C - time to check a binding
N - number of bindings
@Component({
selector: 'article-heading',
template: `
{{article.title}}
By: {{article.author}}
`
})
export class ArticleHeading {
@Input() article: Article;
}
while (op) {
var getter = getterFor(op.fieldName);
var oldValue = op.value;
var newValue = getter(op.context);
if (oldValue !== newValue) {
op.value = newValue;
var fn = reactionFunctionFor(op);
fn(oldValue, newValue);
}
op = op.next;
}
By: {{article.author}}
var author = obj.author;
if (author !== this.previousAuthor) {
this.previousAuthor = author;
this.authorBinding.string = author;
}
This allows the JavaScript virtual machine to perform property access caching and execute the change detection/rendering logic much faster. - Minko Gechev
The code you write isn't the code that runs
Angular has a JIT and AOT compiler that generates code, including these change detectors
function Point(x,y) {
this.x = x;
this.y = y;
}
var obj = new Point(1,2);
@benzittlau
benzittlau.com
springlaunched.com
ben@getjobber.com


{% extends "layout.html" %} {% block page_title %} Search results {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} Manage your education and skills funding Select which ESFA funding you’d like to view View funding by organisation Search results View latest ESFA funding allocations Search results No results for '{% if searchTerm %}{{searchTerm}}{% else %}{searchTerm}{% endif %}' This is because either: there are no funding allocations for this organisation there is a misspelling Find an organisation {% endblock %}
This is because either:
Find an organisation


The main interface for enumerating classes is the {@link com.samskivert.viztool.enum.ClassEnumerator}. It scans through the class path and attempts to match a component enumerator to each component. The {@link com.samskivert.viztool.enum.DirectoryEnumerator} is used for all components that don't match one of the other (zip or jar) enumerators. These component enumerators are then used in turn to enumerate through all of the classes in the class path.
The enumeration can be filtered by making use of a {@link com.samskivert.viztool.enum.FilterEnumerator}.


|
| static P256ECDHDerivedSecret | chip::fabricSecret |
| |
| constexpr uint8_t | chip::kIPKInfo [] |
| |
| constexpr uint8_t | chip::kKDFSR2Info [] = { 0x53, 0x69, 0x67, 0x6d, 0x61, 0x52, 0x32 } |
| |
| constexpr uint8_t | chip::kKDFSR3Info [] = { 0x53, 0x69, 0x67, 0x6d, 0x61, 0x52, 0x33 } |
| |
| constexpr size_t | chip::kKDFInfoLength = sizeof(kKDFSR2Info) |
| |
| constexpr uint8_t | chip::kKDFSEInfo [] = { 0x53, 0x65, 0x73, 0x73, 0x69, 0x6f, 0x6e, 0x4b, 0x65, 0x79, 0x73 } |
| |
| constexpr size_t | chip::kKDFSEInfoLength = sizeof(kKDFSEInfo) |
| |
| constexpr uint8_t | chip::kIVSR2 [] = { 0x4e, 0x43, 0x41, 0x53, 0x45, 0x5f, 0x53, 0x69, 0x67, 0x6d, 0x61, 0x52, 0x32 } |
| |
| constexpr uint8_t | chip::kIVSR3 [] = { 0x4e, 0x43, 0x41, 0x53, 0x45, 0x5f, 0x53, 0x69, 0x67, 0x6d, 0x61, 0x52, 0x33 } |
| |
| constexpr size_t | chip::kIVLength = sizeof(kIVSR2) |
| |
| constexpr size_t | chip::kTAGSize = 16 |
| |
This file implements the the CHIP CASE Session object that provides APIs for constructing a secure session using a certificate from the device's operational credentials.


public interface ExpressionVisitor
ExpressionVisitor
is used to traverse a $filter or $orderby expression tree.
Any class instance implementing this interface can be passed to the method
Visitable.accept(ExpressionVisitor)
of an expression node to start the traversing. While traversing, the
appropriate methods of the visitor implementation
will be called.| Modifier and Type | Method and Description |
|---|---|
Object |
visitBinary(BinaryExpression binaryExpression,
BinaryOperator operator,
Object leftSide,
Object rightSide)
Visits a binary expression
|
Object |
visitFilterExpression(FilterExpression filterExpression,
String expressionString,
Object expression)
Visits a filter expression
|
Object |
visitLiteral(LiteralExpression literal,
EdmLiteral edmLiteral)
Visits a literal expression
|
Object |
visitMember(MemberExpression memberExpression,
Object path,
Object property)
Visits a member expression (e.g.
|
Object |
visitMethod(MethodExpression methodExpression,
MethodOperator method,
List<Object> parameters)
Visits a method expression
|
Object |
visitOrder(OrderExpression orderExpression,
Object filterResult,
SortOrder sortOrder)
Visits a order expression
|
Object |
visitOrderByExpression(OrderByExpression orderByExpression,
String expressionString,
List<Object> orders)
Visits a orderby expression
|
Object |
visitProperty(PropertyExpression propertyExpression,
String uriLiteral,
EdmTyped edmProperty)
Visits a property expression
|
Object |
visitUnary(UnaryExpression unaryExpression,
UnaryOperator operator,
Object operand)
Visits a unary expression
|
Object visitFilterExpression(FilterExpression filterExpression, String expressionString, Object expression)
filterExpression
- The visited filter expression nodeexpressionString
- The $filter expression string used to build the filter expression treeexpression
- The expression node representing the first operator,method,literal or property of the
expression treeObject visitBinary(BinaryExpression binaryExpression, BinaryOperator operator, Object leftSide, Object rightSide)
binaryExpression
- The visited binary expression nodeoperator
- The operator used in the binary expressionleftSide
- The result of visiting the left expression noderightSide
- The result of visiting the right expression nodeObject visitOrderByExpression(OrderByExpression orderByExpression, String expressionString, List<Object> orders)
orderByExpression
- The visited orderby expression nodeexpressionString
- The $orderby expression string used to build the orderby expression treeorders
- The result of visiting the orders of the orderby expressionObject visitOrder(OrderExpression orderExpression, Object filterResult, SortOrder sortOrder)
orderExpression
- The visited order expression nodefilterResult
- The result of visiting the filter expression contained in the ordersortOrder
- The sort orderObject visitLiteral(LiteralExpression literal, EdmLiteral edmLiteral)
literal
- The visited literal expression nodeedmLiteral
- The detected EDM literal (value and type)Object visitMethod(MethodExpression methodExpression, MethodOperator method, List<Object> parameters)
methodExpression
- The visited method expression nodemethod
- The method used in the method expressionparameters
- The result of visiting the parameters of the methodObject visitMember(MemberExpression memberExpression, Object path, Object property)
memberExpression
- The visited member expression nodepath
- The result of visiting the path property expression node (the left side of the property operator)property
- The result of visiting the member property expression nodeObject visitProperty(PropertyExpression propertyExpression, String uriLiteral, EdmTyped edmProperty)
propertyExpression
- The visited property expression nodeuriLiteral
- The URI literal of the propertyedmProperty
- The EDM property matching the property name used in the expression StringObject visitUnary(UnaryExpression unaryExpression, UnaryOperator operator, Object operand)
unaryExpression
- The visited unary expression nodeoperator
- The operator used in the unary expressionoperand
- The result of visiting the operand expression nodeCopyright © 2013-2017 The Apache Software Foundation. All Rights Reserved.


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Schedule
Contact the organizers by sending an email to
<EMAIL_ADDRESS>.


YunTemp.helpers package¶
Submodules¶
YunTemp.helpers.yuntemp module¶
Simulate the YunTemp.
This is an extremely simple server that might be used for testing the arduino webserver interface. It is based on flask. So before running it, you should run a
pip install flask, flask_basicauth
If you want to run it you can just start it through:
python yuntemp.py
This will open a test server on <IP_ADDRESS>:5001. You can then adress it with the requests package.
> r = requests.get('http://<IP_ADDRESS>:5001/arduino/read/all/')
> r.text
'setpoint, input, error, output, G, tauI, tauD <br />0,719,0,0,0,0,0'
-
YunTemp.helpers.yuntemp.
get_temp
()[source]¶ Read out all properties from the arduino.
Calculates back some random value and gives back whatever was set.
- Returns
a text string.
-
YunTemp.helpers.yuntemp.
set_differential
(n_val)[source]¶ Set the D of the temp control.
- Parameters
n_val – The D value that is chosen.
- Returns
a text string.
-
YunTemp.helpers.yuntemp.
set_gain
(n_val)[source]¶ Set the proportional of the temp control.
- Parameters
n_val – The P value that is chosen.
- Returns
a text string.
Module contents¶
Helper files to set up and test the YunTemp.


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SIESTA A film review by Craig Good Copyright 1988 Craig Good
I just love it when this happens. I went to see SIESTA mostly because I didn't know a thing about it, other than what the poster said (which wasn't much). I soon realized that I had either seen a review of it on the telly or a trailer, but I had forgotten anything said about it. So there I am watching the opening titles, and names start to roll by: Martin Sheen, Ellen Barkin, Grace Jones, Isabella Rosellini, Jody Foster. Jody Foster? Yup.
A name I didn't recognize was Mary Lambert, the director. Starting with a strange, stunning opening sequence she starts telling a story by inter-cutting with flashbacks. Barkin wakes up outdoors wearing nothing but a red dress. She finds somebody's blood all over it, and then realizes that she's lying at the foot of a runway. Things get rolling when she finds that she's in another country with no money, passport, nor idea how she got there. She gradually starts to remember things via flashbacks which parallel what's happening to her. She meets some very strange people and has some very strange things happen to her. None of them seem as strange as the stunt she was planning--to free-fall from an airplane into a burning net. You see, she's the strangest character in the film. Barkin, who didn't do that much for me somehow in THE BIG EASY, plays wonderfully all the way from An Eyeful down to a wretched mess as her character gets deeper and deeper into the nightmare.
Steamy, sardonic, slightly disorienting, SIESTA is almost impossible to pigeonhole. That's my favorite thing about it. It belongs in the slightly off-center bin with films such as TROUBLE IN MIND and AFTER HOURS, except toward the side of the bin with THE STUNTMAN in it. The slightly over-the-top dialogue seems strained at the beginning of the film, but perfectly natural by the end. Some of the scene transitions are really brilliant. Lambert leaves no doubt that she knows how to direct.
I love stumbling across a "find" like this. SIESTA is a horse of a different color. It may not achieve a great commercial success, but if you like off-the-wall, well-crafted movies as well as I do, you should check it out.
--Craig ...{ucbvax,pyramid,sun}!pixar!good
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


1. Find and Install...
2. Search for new features to install
3. Click New Remote Site... and enter the update site name "JiBX
Eclipse" and URL "http://jibx.sourceforge.net/eclipse/", then click "Ok" on the
pop-up and "Finish" on the main dialog.
4. Select the feature to install
5. Accept the license agreement
6. Choose your desired installation directory (or accept the default)
7. Install All (there is no digital signature)
8. Restart Eclipse


TinyColor is a micro framework for inputting colors and outputting colors as different formats. Input is meant to be as permissive as possible.
Read all the documentation on the TinyColor project page on github.
Enter a color:
Or try these: red 0f0 rgb 255 128 128 hsl(0, 100%, 50%) hsv 0, 100%, 50%
And I'll tell you what I know about it:
| Lighten | |
|---|---|
| Darken | |
| Saturate | |
| Desaturate | |
| Greyscale | |
| Brighten | |
| Most Readable |
| Triad | |
|---|---|
| Tetrad | |
| Monochromatic | |
| Analogous | |
| Split Complements |
Developed by Brian Grinstead. Big thanks to the following places:


THE NUTTY PROFESSOR A film review by Scott Renshaw Copyright 1996 Scott Renshaw
Starring: Eddie Murphy, Jada Pinkett, Larry Miller, James Coburn, Dave Chappelle. Screenplay: David Sheffield, Barry W. Blaustein, Tom Shadyac, Steve Oedekerk. Director: Tom Shadyac. Reviewed by Scott Renshaw.
If you ask most movie stars whether a given project is a "comeback," they would probably insist that they were never away. In the case of Eddie Murphy, that's actually pretty close to the truth. _You_ may not have seen HARLEM NIGHTS, or THE DISTINGUISHED GENTLEMAN, or BOOMERANG, or even BEVERLY HILLS COP III, but someone did -- over $300 million worth of someones, in fact. So no, Eddie Murphy never went anywhere; it was only his ability to make people laugh which took a long vacation. I was beginning to wonder whether there was any of the old spark left in Murphy, and then along comes THE NUTTY PROFESSOR. he still might have trouble identifying a decent script, but his talent is in full flower, including an unexpectedly broad acting range.
Murphy plays Sherman Klump, a brilliant chemistry professor with a bit of a weight problem -- about 400 lbs. worth. His weight has resulted in clashes with the university's dean (Larry Miller) and has made him rather unlucky in love. When the department's new graduate student Carla Purdy (Jada Pinkett) captures Sherman's fancy, he resorts to testing his latest experiment, a formula for reducing weight at a genetic level, on himself. The result is a startling transformation of Sherman Klump into Buddy Love, a lean, mean testosterone machine who is every bit the party animal Sherman never was. The problems begin when Buddy reverts to Sherman at the most inconvenient times, and gets worse when Buddy's personality begins to become dominant, threatening to take over Sherman's life for good.
The lion's share of the pleasures in THE NUTTY PROFESSOR are pure Eddie Murphy, but not necessarily Eddie Murphy the way you are accustomed to seeing him. True, he does take on multiple roles behind Rick Baker's incredible makeup, including a Richard Simmons-styled fitness guru and several members of the Klump family, much as he did in COMING TO AMERICA. There are some big laughs in those family dinner scenes, particularly an extraordinarily embarrassing dinner with Carla in attendance, although the flatulence gags are piled on a bit thick. But Murphy is not coasting on his street-wise motor-mouth persona here, the persona which often seemed to be the only reason for dud projects like THE GOLDEN CHILD or THE DISTINGUISHED GENTLEMAN to exist. If anything, THE NUTTY PROFESSOR is a chance to poke fun at that persona through the hyper-slick Buddy Love.
The real surprise is watching Murphy sink his teeth into a real character, and do some real acting.  At the same time, Klump shows a streak of the repressed sex god, grooving to Teddy Pendergrass after Carla agrees to go out with him. Murphy brings out that side as something endearing, and makes his shy, self-effacing manner terrifically appealing. I never thought I would see the day when Eddie Murphy would play a character who inspired sympathy, but watching Klump disintegrate before a barrage of the comedian's barbs is genuinely poignant.
Murphy is so good that it's too bad he doesn't have better material to work with, or a more supportive supporting cast. The exceptions to both rules come in the wonderful nightclub scenes, the second of which finds a caustic Buddy turning the tables on the same comic who tore Sherman to shreds. For the most part, the script is all set-up with few truly inspired comic situations, relying on absurdist dream sequences and special effects for the big gags. There are moments when Buddy Love is on screen that you are waiting for Murphy to run to the extreme, and ACE VENTURA director Tom Shadyac just seems to be waiting for him to do something wacky. The script doesn't really give him the best opportunities, though, and he is playing off undeserving foils in Jada Pinkett and an uncomfortably edgy Larry Miller. Murphy is trying to show what he can do here, and he is given material like the overly obvious homily at the film's conclusion which doesn't show trust in his abilities to convey emotion without spelling it all out.  Welcome back, Eddie, even if you never went away.
On the Renshaw scale of 0 to 10 weighting games: 7.
-- Scott Renshaw Stanford University http://www-leland.stanford.edu/~srenshaw
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{{ type }}
Selecting Type will reset Value.
{{ control.errors?.serverError }}
The fields below use
pattern matching
where “*”, “?”, and “;” are special characters.
Empty fields match any input. A field with multiple patterns matches if any one of the listed patterns match.
A URL that provides the organization that asserted a visa
{{ control.errors?.serverError || 'choose one of the prefixes' }}
By
{{ item }}
The level or type of authority within the "source" organization
{{ clause.get('by').errors?.serverError || 'choose one of the prefixes' }}
Value
A string that represents any of the scope, process, identifier and version of the assertion. The format of the string can vary by the
Passport Visa Type
{{ control.errors?.serverError || 'choose one of the prefixes' }}


Hello. My name is Rudy.
I love maps, cats, watching tennis, music and bagels.
I always wear a pair of round glasses. I find Diet Coke & regular Coke taste the same.
I used to make a ton of maps:
| M.Sc., 2016 | Geography | University of Oregon |
| B.Sc., 2013 | Geography, Cartography, GIS | University of Wisconsin-Madison |
| 2019 - present | Customer Success Manager, APAC | Planet |
| 2017 - 2019 | GIS Manager | RSPO Malaysia |
| 2017 | Support Manager | National University of Singapore |
| 2016 | Graduate Intern | The New York Times |
| 2014 - 2016 | Graduate Research Fellow | InfoGraphics Lab, University of Oregon |
| 2012 - 2015 | Geospatial Analyst | GLUE Lab, SAGE Madison |
Questions?


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Film
has recently become a hobby of mine. It's so interesting to see all of this old technology coming back in trend; I can understand why. I love capturing images of my friends and remembering exactly what was happening in that moment in time.


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