If you want to add functionality to a plugin without recompiling and including it yourself, you can simply create a Ruby file in the _plugins
that monkey-patches whatever methods need changing.
I wanted bibliography references generated by jekyll-scholar
to generate a hyperlink in the URL field. I found this [1] issue with a solution outlined.
module Jekyll
class Scholar
module Utilities
alias_method :original_reference_tag, :reference_tag
def reference_tag(entry)
return missing_reference unless entry
# Change URLs into markdown links
entry["url"] = "[#{entry["url"]}](#{entry["url"]})" if entry["url"]
entry = entry.convert(*bibtex_filters) unless bibtex_filters.empty?
reference = CiteProc.process entry.to_citeproc,
:style => style, :locale => config['locale'], :format => 'html'
content_tag reference_tagname, reference,
:id => [prefix, entry.key].compact.join('-')
end
end
end
end
You can find the method as defined in jekyll-scholar
here. The code above:
reference_tag
method that jekyll-scholar provides as old-reference-tag
- meaning it won’t be used by jekyll-scholar or any of the CSL parsers.url
type and converting them to hyperlinks using markdown.By putting this code in _plugins
, you will get the functionality defined in the above snippet.
(This actually didn’t work for me, I had to find another workaround to get hyperlinks, but I think the snippet is a good example)


New Password
{% trans "Please enter your new password twice so we can verify you typed it in correctly." %}
{% if validlink %}
{% else %}
{% trans "The password reset link was invalid, possibly because it has already been used. Please request a new password reset." %}
{% endif %}


Owners
Eng Shamikh quraan
Hey! im Shamikh Power Engineer, programmer, Designer ,unshakable optimist dedicated to be the best version of me ,Collaborative at my zone and for sure Helpful.
Emam shararh
Hey! im Emam a programmer , designer , Creator ,and passionate about my work. Because I love what I do, I have a steady source of motivation that drives me to do my best.
Abdurrahman Abu Al-Ata
Hey! im Abdurrahman an engineer, programmer, designer , talented, ambitious and hardworking individual. And for sure dependable and great at time management.
Mona Alobisat
Hey! im Mona A Computer Science Major , programmer , Collaborative also originator at communications .
We Are Collective group of programmers , Seekers for more skills path , Believes in having a good time while doing what we love , We are description of collaborative approach , Creativity is Our Signature.


Take the pledge not to text and drive. It's a pledge to save lives.
Dustin Brown in"Checking Baily"
Behind the Scenes withDustin Brown
Andre Ethier"Play-by-Play"


Andrei D. Robu
❧
I'm currently working as a software developer. I have also been a PhD student and Senior Research Assistant in the Adaptive Systems Research Group of UH.
I first found the joy of coding while creating custom maps with the WC3 map editor and that experience later led me to learning Python and then getting a CS degree.
Halfway through my BSc degree I began working in Cardonet, where I have been employed for the past six years. With Cardonet, I had the flexibility to study towards a PhD, teach and carry out research at the University of Hertfordshire.
❧
Publications
- Robu, A. D., Salge, C., Nehaniv, C. L., and Polani, D. (2019). Measuring Time with Minimal Clocks. The Artificial Life Journal. https://doi.org/10.1162/artl_a_00303 (PDF).
- Robu, A. D., Salge, C., Nehaniv, C. L., and Polani, D. (2017). Time as it could be measured in artificial living systems. The European Conference on Artificial Life. https://doi.org/10.7551/ecal_a_061 (PDF).
Presentation Slides
- Using SymPy in exploratory research (slides), given at the UH Biocomputation journal club in 2018.
- Time as it could be measured in artificial living systems, given at ECAL 2017 (PDF).


| {{ii+1}}. |
{{cashup.cashup.barmanLoginTime | localizedDate:'medium'}} |
{{cashup.cashup.cashupTime | localizedDate:'medium'}} |
{{cashup.cashup.totalSale | localizedCurrency}} |
{{cashup.cashup.startCash | localizedCurrency}} |
{{cashup.cashup.endCash | localizedCurrency}} |
{{cashup.cashup.cashTakenByManager | localizedCurrency}} |
{{cashup.cashup.cashTakenByBoss | localizedCurrency}} |
{{cashup.cashup.comment}} |
{{cashup.cashup.openingUser.login}} |
- |
{{cashup.cashup.cashupUser.login}} |
- |
| {{payment.payment.description}}: {{payment.totalPayment | localizedCurrency}} |
: {{payment.totalPayment | localizedCurrency}} |
: {{payment.totalPayment | localizedCurrency}} |
|
|


This part is common with a suffix, such as "BAV199,215". It is the same part.
Do not install D17. It is provided for DC (integrated generator) buzzer, but since it never was implemented in firmware, this has no use.


This document serves to test various sample HTML elements and there representation in the PDF.
We tried to address many of the missing elements in some of the web page print solutions we found. In many solutions, they are merely converting the HTML fed to the browser, not the content from the browser DOM. We wanted to be able to process live content, that could vary based on user interaction.
We found most all solutions lacking in SVG support. You cannot actually inject the SVG into the print document, you can only insert an image of the SVG in raster form. We wanted high resolution vector-based SVG content. We wanted to leverage formatting technology far superior than a "PDF" writer and/or browser which is not designed as a print composition engine.
We also found many situations where we wanted the flexibility of just having some XML content in the page for special formatting. You can easily extend this solution to format any XML markup in your page, not only HTML.
Push the "Print It!" button, get your result and keep reading.
Throughout this document you will also see print buttons like this located on certain headings. This is a demonstration of using the code to print a single
. Some of the buttons vary settings for print.
The XEPOnline javascript library extracts the content of a named
 element in the HTML page. It processes that
 and embeds all css-based styling into the HTML. You can use the library to generate a PDF of any
, including those generated with dynamic content as it is processing the browser DOM of the HTML at the time execution. In other words, this is not some canned HTML to print, it is the current HTML to print.
We'll cover advanced use concepts in the future, but the whole system is extensible and leverages XSL FO technology for print file generation while maintaining ease of styling via css. The extensibility allows you to customize output in many ways, to extend and expand upon a simple File->Print operation. Because it uses XSL FO at the core, one can certainly do more than generate PDF. You could generate PostScript, AFP or XPS print files if desired.
Because HTML is not XML, the solution does some additional processing to ensure a well-formed XML document is exported. That well-formed XML document is generated and sent to the XEPOnline formatter via REST with a reference to a specific XSL stylesheet for processing the HTML tag content to create XSL FO.
XEPOnline accepts the REST request, attempts to format the document with RenderX XEP and returns the result (currently) as an XML message. This message includes formatting messages, any missing components and the base-64 encoded PDF. The javascript parses the base-64 endcoded PDF to a data-uri. The user can then direct that to another
 element, place it into a new window or do as they desire. Because this demonstration uses data-uri, Internet Explorer is not supported at this time as it does not support data-uri of PDF.
The XSL which processes incoming (X)HTML to XSL FO is written in XSL version 1.0. Most modern web environments make use of very few tags and control appearance through headings, div's, img's and span's with css styles. The template not only supports these core elements but also has support for many legacy structures. The following HTML structures are currently supported:
The new HTML5 tags
 and
 are only supported as block elements, not seperate page generating elements at this time. One  and one  element are allowed inside the printable
 and are used for printed document header and footer.
A selected list of appearance styles are passed in css format to the XSL stylesheet which parses and interprets css. There are some special considerations in the XSL to handle differences between HTML css and XSL FO style attributes. Every attempt is made to keep the XSL FO and resulting PDF output as close as possible to the css/browser representation.
The solution also takes into account hidden
items, those with "display" attribute to "none". These items are not extracted to
the print file. Clicking this
paragraph
I am a test paragraph!
Note also that some other attributes you can use within the HTML that have no effect on the appearance of the page can also be used. For instance, you can use the css attribute "page-break-before" to start a new page.
This solution also supports various aspects of print media. The print media stylesheet is applied to the data before sending it to be processed and as such, you can affect various style changes as well as inject page information this way. Some browsers fully support CSS3 print media @page attributes while others do not. However, the system was created so you can either use @page or you can specify in code.
The following shows various block-level structures, some with standard HTML interpretation of the style and other with css styling applied to augment/change the formatting.
This is a paragraph with some CSS styling applied
This is the standard
 element. It provides an indented look to the text. This is rarely used in the days of
 elements, classes and css styling but it is supported.
This is the standard
 element. Again, most folks would use css to style output like this, but for old HTML compatibility we support the "pre" element.
Testing some inline elements. There are some elements still used like "b"
for bold and "i" for italic. They can even be combined like
bold italic underline. The more modern approach of
using  with classes and css is also
supported. A variety of other elements supported like the quote element
evensuperscripts andsubscripts.
Tables: This section tests various tabular structures including borders, colors and spanning.
| Heading 1 | Heading 2 | Heading 3 |
|---|---|---|
| Body Cell 1 | Body Cell 2 | Body Cell 3 |
| Body Cell 1 | Body Cell 2 | Body Cell 3 |
| Body Cell 1 | ||
| Body Cell 1 | Body Cell 2 | Body Cell 3 |
| Body Cell 1 | Body Cell 2 |
A fancier table with all CSS styling. Also note that this table implements "thead" and "tbody" which map to the appropriate XSL FO constructs so that the table header and table footer is repeated at a break in the page.
| Company Header | Contact Header | Country Header |
|---|---|---|
| Company Footer | Contact Footer | Country Footer |
| Alfreds Futterkiste | Maria Anders | Germany |
| Berglunds snabbköp | Christina Berglund | Sweden |
| Centro comercial Moctezuma | Francisco Chang | Mexico |
| Ernst Handel | Roland Mendel | Austria |
| Island Trading | Helen Bennett | UK |
| Königlich Essen | Philip Cramer | Germany |
| Laughing Bacchus Winecellars | Yoshi Tannamuri | Canada |
| Magazzini Alimentari Riuniti | Giovanni Rovelli | Italy |
| North/South | Simon Crowther | UK |
| Paris spécialités | Marie Bertrand | France |
There are many list styles in HTML. Currently this solution supports the following:
Testing un-numbered lists, first a simple list
Another list with list-style-type setting in CSS
Now, nested lists
Testing the same lists as above, numbered, first a simple list
Another set of lists with list-style-type setting in CSS
Now, nested lists
A very common use of the list element in HTML is to provide specialty structures like breadcrumbs or navigation tabs. While most of these structures are likely not something you would want in the print output, we wanted to do as close as possible representation of the HTML. These type of lists normally make use of the attribute "display" set to "inline" on the list tag.
We have attempted to take this into account, mapping a list HTML tag with "display:inline" differently than a normal list. This example actually is a set of lists with css applied that turns that list into a breadcrumb. It also shows some advanced concepts introduced later like creating links to internal destinations in the document.
Or maybe a cool effect like a set of tabs you can drop in the document to format and control the navigation.
Images in web pages can be linked via absolute or relative references or they can be embedded directly in the web page using a data-uri scheme. All of these methods are supported. In addition, modern browsers make signifcant use of SVG as a format that can be directly included in the page. This is why we selected XSL FO for back-end processing of the information. XSL FO and specifically XEPOnline supports SVG not by converting the SVG to an image, but by processing SVG to the output, retaining all the vector-based information.
This is a static SVG inserted directly in the HTML page.
This is a PNG inserted using "src" attribute of the "img" tag. When formatting, XEPOnline needs to be able to access the image in question so the path of the web page is sent using xml:base to provide XEPOnline with the ability to resolve the path to the image.
Processing the  also requires special handling because HTML5 allows non-closed tags. Since XSL FO is an XML-based processing solution, the XEPOnline javascript handles this by creating valid XML first before submitting.
Take special care if using auto-scaling of images. If you desire an exact size of the image, it should be specified in the HTML or css. The width is carried through to the PDF. The following two images are one locally referenced on the submit website and the same image remotely referenced.
This image of a folder icon is directly in the web page as base-64 encoded.
The following chart is dynamically generated using Anychart JavaScript library. This shows that even page-based dynamic information can be sent to the engine after processing in its full SVG format. There is not pre-processing of this SVG to image format at any time. The full vector information is carried through to the PDF.
The following chart is dynamically generated using d3 JavaScript library. You can even see that dynamic SVG is printed as it exists at any time. This sample is dynamic, click this paragraph and the pie chart data changes. The print file will represent what is on the screen at that time.
Hyperlinks can be carried into the output PDF.
This link should go to the XEPOnline web site.
Links can also point to internal destinations which are carried through to the PDF. Using many of the concepts above, you could create a list that is the document table of contents styled with css to add images and control appearance.
Many current implementations in HTML make use of responsive designs. The challenge is to try and replicate this HTML into the printed page. The trigger here is the float element. We will start with an easy example, how about replicating a drop-cap.
Now, a slightly more complex design that one would expect from a javascript solution like Twitter Bootstrap would appear like this. We are directly writing the styles and not using Twitter Bootstrap for testing purposes.

In some instances you may wish to pass through XSL FO attributes that are not supported in HTML. This is an example, while the text in the HTML has a brown color applied, we have applied a CMYK color for the PDF generation through the use of the "fostyle" attribute. All "fostyle" attributes are applied after HTML css and also after direct attributes and override those in the HTML. This paragraph also has "text-align" justify in the HTML and font-stretch, font-size-adjust and hyphenate only in the PDF output. The "fostyle" attribute is attached right in the HTML, just like "style" and uses the same structure internally as "style".
Since HTML supports arbitrary XML inside the markup, one of the easiest ways to
do some simple footnotes is to simply use the regular XSL FO
markup
<footnote> your character here for inside the HTML <footnote-body> <block> optional footnote char here for inside print footnote your inline HTML markup here for footnote formatting in PDF. Only inline styles (b, i, span) are supported in the css provided for footnotes. Of course, you can implement your own. </block> </footnote-body> <footnote>
With today's browser technology, you can use css to style any content you wish. This includes any generic XML inserted into the HTML file. For example, consider that you just wish to place the sales data through some dynamic process into a table. If you examine the source HTML for this page here, you will see only XML. It is 100% styled with external css in the file named "xmlsamp.css".
And this table is formatted according to the css styling, even carried through to the PDF. You so not have to change XML tags, you only indicate their style as "table" or "table-row" or "block" or "inline" in the css and XEPOnline will format the generic XML according to the css styling to print.
Well, first we need to get the Javascript library written and published to Github. We will also post the XSL used in the process for converting the (cleaned-up) HTML to XSL FO. We'll do that soon as we wold love comments/suggestions/contributors.
We've done the implementation to support @media print, we will put that up soon. Then we need to implement page-templates (first, last, left/right) and headers/footers.
Next a little clean-up on the conversion to XSL FO, there are some issues pointed out in this document. There is certainly more work here to do, we probably did not think of everything.
Support IE? I guess we have to, but it's much more than just a little back-end tweak to send full PDF instead of an XML response from XEPOnline's REST interface. That is easy. We have been testing the HTML provided by IE and it does have issues in some areas.
After that, well we can do form fields ... a fillable HTML form to a PDF fillable form ... that would be cool.


| DiscreteWavelets Toolbox |
Audio output of a wavelet transformation
WaveletVectorPlay(v,its)
WaveletVectorPlay(v,its,options)
WaveletVectorPlay(v,its) takes a vector v, presumably the wavelet transformation of another vector, and a number of iterations its of the transformation, and plays the vector as an audio file.
WaveletVectorPlay(v,its,options) allows several parameters to be set. See Optional Arguments below for a detailed description of these parameters.
There are several optional arguments that can be set for WaveletVectorPlay. The order of the parameters does not matter in the function call, but you must follow the standard convention 'Option', 'Value' when invoking the parameters.
'Region' can be set to 'All' (default), 'LowPass', or 'HighPass'. When set to 'LowPass', the routine plays the lowpass portion of the transformation. When set to 'HighPass', the routine for the value of 'Iteration' (see below) and then plays the selected portion of v.
'Iteration' can be set to 'All' (default) or any positive integer 1,2,...,its. This value is used if 'Region' has been set to 'HighPass' and ignored otherwise.
'SampleRate' is a positive integer that indicates the number of samples per second of the audio clip from which v was obtained. The default is 11025. The lowpass portion of the transform is played at sample rate SampleRate/2^its while high pass portion, iteration k, is played at the rate SampleRate/2^k.
Here are some example calls of WaveletVectorPlay. To hear the output, you must copy and paste the code into the Matlab work space.
Play the vector ... at the wrong sample rate.
snd=AudioNames(); %Get files names of all included audio files %All files are wav files [v, srate] = wavread(snd{2}); %Read the sound file str=sprintf('The sample rate for this audio file is %i.',srate); disp(str); v=ChopVector(v,3); %Make sure we can do three iterations of the transform wavplay(v,srate); %Play the audio file. wt=WT1D(v,Coif(1),3); %This plays all parts of the transform, but at the wrong sample rate. WaveletVectorPlay(wt,3);
Here are the resulting sound files:
| The original audio clip | |||
| Lowpass Portion | Highpass - Iteration 1 | Highpass - Iteration 2 | Highpass - Iteration 3 |
Play the vector at the correct sample rate.
snd=AudioNames(); %Get files names of all included audio files %All files are wav files [v, srate] = wavread(snd{2}); %Read the sound file v=ChopVector(v,3); %Make sure we can do three iterations of the transform wt=WT1D(v,Coif(1),3); %This plays all parts of the transform, but at the wrong sample rate. WaveletVectorPlay(wt,3,'SampleRate',srate);
Here are the resulting sound files:
| Lowpass Portion | Highpass - Iteration 1 | Highpass - Iteration 2 | Highpass - Iteration 3 |
Play a particular portion of the transformation.
snd=AudioNames(); %Get files names of all included audio files %All files are wav files [v, srate] = wavread(snd{2}); %Read the sound file v=ChopVector(v,3); %Make sure we can do three iterations of the transform wt=WT1D(v,Coif(1),3); %This plays the second highpass portion of the transform WaveletVectorPlay(wt,3,'Region','HighPass','Iteration',2,'SampleRate',srate)
Here is the resulting sound file:
| Highpass portion - Iteration 2 |
AudioList, AudioNames, WaveletVectorPlot, BWT1D, HWT1D, LWT1D, WT1D
© 2007-2008 Patrick Van Fleet


Goodwill Industries of Dallas, Inc.’s largest annual fundraising event, THE LUNCH, targets Dallas’ top chief executives and influential community leaders.
100% of THE LUNCH proceeds benefit Goodwill’s job training and placement programs to change lives through the power of jobs!
With your support of THE LUNCH, more people in our community are given a starting point, a pathway, an opportunity!


from fastai.vision.all import *
Quick Start
= 128, 16
size, bs = get_dls(size, bs) dls
Let’s start with a bit of context for the purpose of the demonstration. Imagine that we want to deploy a VGG16 model on a mobile device that has limited storage capacity and that our task requires our model to run sufficiently fast. It is known that parameters and speed efficiency are not the strong points of VGG16 but let’s see what we can do with it.
Let’s first check the number of parameters and the inference time of VGG16.
= Learner(dls, models.vgg16_bn(num_classes=10), metrics=[accuracy]) learn
So, VGG16 has 134 millions of parameters
count_parameters(learn.model)
Total parameters : 134,309,962
And takes 5.54ms to perform inference on a single image.
= learn.model.eval().cuda()
model = dls.one_batch() x,y
%%timeit
0][None].cuda()) model(x[
5.54 ms ± 240 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)
Snap ! This is more than we can afford for deployment, ideally we would like our model to take only half of that…but should we give up ? Nope, there are actually a lot of techniques that we can use to help reducing the size and improve the speed of our models! Let’s see how to apply them with FasterAI.
We will first train our VGG16 model to have a baseline of what performance we should expect from it.
10, 1e-4) learn.fit_one_cycle(
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 2.045154 | 1.757391 | 0.425223 | 01:08 |
| 1 | 1.742665 | 1.565325 | 0.499108 | 01:07 |
| 2 | 1.480350 | 1.239429 | 0.597197 | 01:07 |
| 3 | 1.260411 | 1.147262 | 0.641529 | 01:07 |
| 4 | 1.142973 | 1.085112 | 0.656051 | 01:08 |
| 5 | 0.990731 | 0.805770 | 0.749809 | 01:07 |
| 6 | 0.830559 | 0.766576 | 0.761783 | 01:08 |
| 7 | 0.778474 | 0.646047 | 0.796943 | 01:08 |
| 8 | 0.638642 | 0.615775 | 0.808408 | 01:08 |
| 9 | 0.693272 | 0.609358 | 0.805350 | 01:07 |
So we would like our network to have comparable accuracy but fewer parameters and running faster… And the first technique that we will show how to use is called Knowledge Distillation
Knowledge Distillation
Knowledge distillation is a simple yet very efficient way to train a model. It was introduced in 2006 by Caruana et al.. The main idea behind is to use a small model (called the student) to approximate the function learned by a larger and high-performing model (called the teacher). This can be done by using the large model to pseudo-label the data. This idea has been used very recently to break the state-of-the-art accuracy on ImageNet.
When we train our model for classification, we usually use a softmax as last layer. This softmax has the particularity to squish low value logits towards 0, and the highest logit towards 1. This has for effect to completely lose all the inter-class information, or what is sometimes called the dark knowledge. This is the information that is valuable and that we want to transfer from the teacher to the student.
To do so, we still use a regular classification loss but at the same time, we’ll use another loss, computed between the softened logits of the teacher (our soft labels) and the softened logits of the student (our soft predictions). Those soft values are obtained when you use a soft-softmax, that avoids squishing the values at its output. Our implementation follows this paper and the basic principle of training is represented in the figure below:
To use Knowledge Distillation with FasterAI, you only need to use this callback when training your student model:
KnowledgeDistillation(teacher.model, loss)You only need to give to the callback function your teacher learner. Behind the scenes, FasterAI will take care of making your model train using knowledge distillation.
from fasterai.distill.all import *
The first thing to do is to find a teacher, which can be any model, that preferrably performs well. We will chose VGG19 for our demonstration. To make sure it performs better than our VGG16 model, let’s start from a pretrained version.
= cnn_learner(dls, models.vgg19_bn, metrics=[accuracy])
teacher 3, 1e-4) teacher.fit_one_cycle(
/home/HubensN/miniconda3/envs/deep/lib/python3.8/site-packages/fastai/vision/learner.py:265: UserWarning: `cnn_learner` has been renamed to `vision_learner` -- please update your code
warn("`cnn_learner` has been renamed to `vision_learner` -- please update your code")
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 0.674759 | 0.289090 | 0.912357 | 00:36 |
| 1 | 0.403283 | 0.180294 | 0.946752 | 00:36 |
| 2 | 0.396881 | 0.176295 | 0.945223 | 00:36 |
Our teacher has 97.4% of accuracy which is pretty good, it is ready to take a student under its wing. So let’s create our student model and train it with the Knowledge Distillation callback:
= Learner(dls, models.vgg16_bn(num_classes=10), metrics=[accuracy])
student = KnowledgeDistillationCallback(teacher.model, SoftTarget)
kd_cb 10, 1e-4, cbs=kd_cb) student.fit_one_cycle(
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 7.487010 | 6.192549 | 0.446369 | 01:37 |
| 1 | 5.470930 | 6.126627 | 0.469809 | 01:37 |
| 2 | 4.444192 | 5.306108 | 0.592102 | 01:37 |
| 3 | 4.153715 | 3.482993 | 0.669554 | 01:37 |
| 4 | 3.522233 | 2.846554 | 0.742166 | 01:37 |
| 5 | 3.066324 | 2.738527 | 0.739363 | 01:37 |
| 6 | 2.732183 | 2.394343 | 0.768917 | 01:37 |
| 7 | 2.329082 | 2.012312 | 0.811720 | 01:37 |
| 8 | 2.095640 | 1.827197 | 0.822166 | 01:37 |
| 9 | 2.006221 | 1.837958 | 0.817580 | 01:37 |
And we can see that indeed, the knowledge of the teacher was useful for the student, as it is clearly overperforming the vanilla VGG16.
Ok, so now we are able to get more from a given model which is kind of cool ! With some experimentations we could come up with a model smaller than VGG16 but able to reach the same performance as our baseline! You can try to find it by yourself later, but for now let’s continue with the next technique !
Sparsifying
Now that we have a student model that is performing better than our baseline, we have some room to compress it. And we’ll start by making the network sparse. As explained in a previous article, there are many ways leading to a sparse network.
By default, FasterAI uses the Automated Gradual Pruning paradigm as it removes parameters as the model trains and doesn’t require to pretrain the model, so it is usually much faster. In FasterAI, this is also managed by using a callback, that will replace the least important parameters of your model by zeroes during the training. The callback has a wide variety of parameters to tune your Sparsifying operation, let’s take a look at them:
SparsifyCallback(learn, sparsity, granularity, context, criteria, schedule)
- sparsity: the percentage of sparsity that you want in your network
- granularity: on what granularity you want the sparsification to be operated (currently supported:
weight
,filter
)- context: either
local
orglobal
, will affect the selection of parameters to be choosen in each layer independently (local
) or on the whole network (global
).- criteria: the criteria used to select which parameters to remove (currently supported:
l1
,taylor
)- schedule: which schedule you want to follow for the sparsification (currently supported: any scheduling function of fastai, i.e
annealing_linear
,annealing_cos
, … andannealing_gradual
, common schedules such as One-Shot, Iterative or Automated Gradual)
But let’s come back to our example!
Here, we will make our network 40% sparse, and remove entire filters, selected locally and based on L1 norm. We will train with a learning rate a bit smaller to be gentle with our network because it has already been trained. The scheduling selected is cosinusoidal, so the pruning starts and ends quite slowly.
= SparsifyCallback(sparsity=50, granularity='filter', context='global', criteria=large_final, schedule=cos)
sp_cb 5, 1e-5, cbs=sp_cb) student.fit(
Pruning of filter until a sparsity of [50]%
Saving Weights at epoch 0
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 0.604952 | 0.570446 | 0.817834 | 01:05 |
| 1 | 0.608648 | 0.560816 | 0.823694 | 01:05 |
| 2 | 0.594311 | 0.562816 | 0.826497 | 01:05 |
| 3 | 0.634639 | 0.575046 | 0.822675 | 01:05 |
| 4 | 0.605929 | 0.571302 | 0.816561 | 01:05 |
Sparsity at the end of epoch 0: [4.77]%
Sparsity at the end of epoch 1: [17.27]%
Sparsity at the end of epoch 2: [32.73]%
Sparsity at the end of epoch 3: [45.23]%
Sparsity at the end of epoch 4: [50.0]%
Final Sparsity: [50.0]%
Sparsity in Conv2d 2: 0.00%
Sparsity in Conv2d 5: 0.00%
Sparsity in Conv2d 9: 0.00%
Sparsity in Conv2d 12: 0.00%
Sparsity in Conv2d 16: 0.00%
Sparsity in Conv2d 19: 0.00%
Sparsity in Conv2d 22: 0.00%
Sparsity in Conv2d 26: 64.26%
Sparsity in Conv2d 29: 70.70%
Sparsity in Conv2d 32: 71.88%
Sparsity in Conv2d 36: 71.29%
Sparsity in Conv2d 39: 70.51%
Sparsity in Conv2d 42: 63.87%
Our network now has 50% of its filters composed entirely of zeroes, without even losing accuracy. Obviously, choosing a higher sparsity makes it more difficult for the network to keep a similar accuracy. Other parameters can also widely change the behaviour of our sparsification process. For example choosing a more fine-grained sparsity usually leads to better results but is then more difficult to take advantage of in terms of speed.
Let’s now see how much we gained in terms of speed. Because we removed 50% of convolution filters, we should expect crazy speed-up right ?
= student.model.eval() model
%%timeit
0][None].cuda()) model(x[
4.26 ms ± 20.1 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
Well actually, no. We didn’t remove any parameters, we just replaced some by zeroes, remember? The amount of parameters is still the same:
count_parameters(model)
Total parameters : 134,309,962
Which leads us to the next section.
Pruning
Why don’t we see any acceleration even though we removed half of the parameters? That’s because natively, our GPU does not know that our matrices are sparse and thus isn’t able to accelerate the computation. The easiest work around, is to physically remove the parameters we zeroed-out. But this operation requires to change the architecture of the network.
This pruning only works if we have zeroed-out entire filters beforehand as it is the only case where you can change the architecture accordingly. Hopefully, sparse computations will soon be available on common deep learning librairies so this section will become useless in the future, but for the moment, it is the best solution I could come up with 🤷
Here is what it looks like with fasterai:
pruner = Pruner() pruned_model = pruner.prune_model(learn.model)You just need to pass the model whose filters has previously been sparsified and FasterAI will take care of removing them.
So in the case of our example, it gives:
from fasterai.sparse.pruner import *
= Pruner()
pruner = pruner.prune_model(student.model) pruned_model
Let’s now see what our model is capable of now:
= pruned_model.eval() model
count_parameters(model)
Total parameters : 57,202,072
And in terms of speed:
%%timeit
0][None].cuda()) model(x[
4.22 ms ± 12.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
Yay ! Now we can talk ! Let’s just double check that our accuracy is unchanged and that we didn’t mess up somewhere:
= Learner(dls, pruned_model, metrics=[accuracy])
pruned_learner pruned_learner.validate()
(#2) [0.571302056312561,0.8165605068206787]
And there is actually more that we can do ! Let’s keep going !
Batch Normalization Folding
Batch Normalization Folding is a really easy to implement and straightforward idea. The gist is that batch normalization is nothing more than a normalization of the input data at each layer. Moreover, at inference time, the batch statistics used for this normalization are fixed. We can thus incorporate the normalization process directly in the convolution by changing its weights and completely remove the batch normalization layers, which is a gain both in terms of parameters and in terms of computations. For a more in-depth explaination, see this blog post.
This is how to use it with FasterAI:
bn_folder = BN_Folder() bn_folder.fold(learn.model))Again, you only need to pass your model and FasterAI takes care of the rest. For models built using the nn.Sequential, you don’t need to change anything. For others, if you want to see speedup and compression, you actually need to subclass your model to remove the batch norm from the parameters and from the
forward
method of your network.
from fasterai.misc.bn_folding import *
Let’s do this with our model !
= BN_Folder()
bn_f = bn_f.fold(pruned_learner.model) folded_model
The parameters drop is generally not that significant, especially in a network such as VGG where almost all parameters are contained in the FC layers but, hey, any gain is good to take.
count_parameters(folded_model)
Total parameters : 57,197,848
Now that we removed the batch normalization layers, we should again see a speedup.
= folded_model.eval() folded_model
%%timeit
0][None].cuda()) folded_model(x[
3.02 ms ± 16.7 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
Again, let’s double check that we didn’t mess up somewhere:
= Learner(dls, folded_model, metrics=[accuracy])
folded_learner folded_learner.validate()
(#2) [0.5713019371032715,0.8165605068206787]
And we’re still not done yet ! As we know for VGG16, most of the parameters are comprised in the fully-connected layers so there should be something that we can do about it, right ?
FC Layers Factorization
We can indeed, factorize our big fully-connected layers and replace them by an approximation of two smaller layers. The idea is to make an SVD decomposition of the weight matrix, which will express the original matrix in a product of 3 matrices: \(U \Sigma V^T\). With \(\Sigma\) being a diagonal matrix with non-negative values along its diagonal (the singular values). We then define a value \(k\) of singular values to keep and modify matrices \(U\) and \(V^T\) accordingly. The resulting will be an approximation of the initial matrix.
In FasterAI, to decompose the fully-connected layers of your model, here is what you need to do:
FCD = FCDecomposer() decomposed_model = FCD.decompose(model, percent_removed)The
percent_removed
corresponds to the percentage of singular values removed (k value above).
Which gives with our example, if we only want to keep half of them:
from fasterai.misc.fc_decomposer import *
= FC_Decomposer()
fc_decomposer = fc_decomposer.decompose(folded_model, percent_removed=0.5) decomposed_model
How many parameters do we have now ?
count_parameters(decomposed_model)
Total parameters : 47,000,906
And how much time did we gain ?
= decomposed_model.eval() decomposed_model
%%timeit
0][None].cuda()) decomposed_model(x[
3.16 ms ± 13.2 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
However, this technique is an approximation so it is not lossless, so we should retrain our network a bit to recover its performance.
= Learner(dls, decomposed_model, metrics=[accuracy])
final_learner 5, 1e-5) final_learner.fit_one_cycle(
| epoch | train_loss | valid_loss | accuracy | time |
|---|---|---|---|---|
| 0 | 0.847210 | 0.851746 | 0.757707 | 00:37 |
| 1 | 0.768943 | 0.765675 | 0.778344 | 00:37 |
| 2 | 0.692119 | 0.794932 | 0.763822 | 00:37 |
| 3 | 0.666022 | 0.679881 | 0.794650 | 00:37 |
| 4 | 0.556258 | 0.661012 | 0.801783 | 00:37 |
This operation is usually less useful for more recent architectures as they usually do not have that many parameters in their fully-connected layers.
So to recap, we saw in this article how to use fasterai to:
1. Make a student model learn from a teacher model (Knowledge Distillation)
2. Make our network sparse (Sparsifying)
3. Optionnaly physically remove the zero-filters (Pruning)
4. Remove the batch norm layers (Batch Normalization Folding)
5. Approximate our big fully-connected layers by smaller ones (Fully-Connected Layers Factorization)
And we saw that by applying those, we could reduce our VGG16 model from 134 million of parameters down to 47 million, and also speed-up the inference from 5.54ms to 3.16ms without any drop in accuracy compared to the baseline.
Of course, those techniques can be used in conjunction with quantization or mixed-precision training, which are already available in Pytorch for even more compression and speedup.


Speed Comparison
2020-05-19
Comparison of web technologies for speed (almost unoptimized)
Not being a professional web developer, but just toying with the various technologies available, I just wanted to compare a few of them for what concerns pure speed. For this, I used the web site GTMetrix.
I run the test comparing five web sites, this one which is authored in Hugo, and a few others presented in other articles in these pages. The SaF IT Services is a simple Bootstrap single page web site, and the other three are wordpress sites, two of which are hosted on freely provided names and web space, also discussed here,
The results are quite astonoshing, and clearly in favour of Hugo. The Bootstrap web site suffers from the fact of having to import a lot of CSS and JS which is in the end unused. The Wordpress sites perform very poorly in comparison, especially the one with a big front page.
These are the results:
The Winner: Hugo!
 The table below summarizes the scores.
| Website | Technology | Score |
|---|---|---|
|<EMAIL_ADDRESS>| Hugo | 94 |
| https://safits.be | Bootstrap | 84 |
| http://apprenons-python.c1.biz/ | Wordpress | 46 |
| http://antonio-ferraro.eu5.net/ | Wordpress | 42 |
| https://ideessuspendues.be | Wordpress | 37 |
Conclusion
Well, there is a small learning curve for Hugo, as for everything. If you want to obtain any form of results, then you will have to do your homework. But after less than a day you should be able to go online with your blogging presence. After that, everything will be much faster than in other platform. And your web site will perform better than those produced with the same effort using other “easier” platforms. However, a lot depends on what you really want to do, and on the template you select. There are many available out there, and the first choice to make is to understand which one is good for you and which one will give you all the features you need. The next step after that, is to learn how to customize a template or make your own.
Related Articles:
- 2020/05/19 Idées Suspendues
- 2020/05/19 SaF IT Services
- 2020/05/19 Data Science day by day
Authored By Anto
Anto likes to learn. This website was produced while learning Hugo. This and all other articles here are licensed under a Creative Commons Attribution 4.0 International License.


About NeurotechX
NeuroTechX brings hackers, enthusiasts, researchers and experts together to drive innovation and foster collaboration
at local and international scales. Our core mission is to build a strong global neurotech community by providing key
resources, learning opportunities, and by being leaders in local and worldwide technological initiatives. We believe
neurotechnology is key to better understanding and to improving who we are. Join us to take part in the conversation
and help shape the future of neurotechnology!
SUBSCRIBE TO THE NEWSLETTER


TrueType and OpenType tables supported by FontForge
Apple, MS and Adobe all have their descriptions of TrueType and OpenType. MS and Adobe's versions are essentially the same, while Apple's differ significantly from either.
name
long name
FontForge's use
Apple
docs
Adobe
docs
avar
axis variation
Used to specify piecewise linear sections of axes for distortable fonts
*
BASE
baseline data
Provides information on baseline positioning and per-script line heights in OpenType.
*
bsln
baseline data
Provides information on baseline positioning for AAT.
*
BDF
X11 BDF header
This table is not part of the official TrueType or OpenType specs. It contains the header information from old bdf fonts. I describe its format here.
*
*
bdat
bitmap data
Provides the actual bitmap data for all bitmap glyphs in Apple fonts. 'EBDT' is used by MS/Adobe instead (and has the same format)
*
bhed
bitmap font header
Replaces the 'head' table in Apple's bitmap only fonts. (similar to 'head')
*
bloc
bitmap location data
Provides pointers to the appropriate bitmap data for each bitmap glyph in Apple fonts. 'EBLC' is used by MS/Adobe instead (and has the same format)
*
CFF
Provides all the outline data (and sometimes glyph names as well) for the PostScript Type2 font that is the heart of an OpenType font. Vaguely equivalent to 'glyf' , 'loca' and 'post' combined.
*
cmap
character code mapping
Provides at least one encoding from a stream of bytes to glyphs in the font. FontForge provides at least three encodings in every font (one for Mac Roman, one for Mac Unicode, one for MS Unicode). For some fonts it will additionally provide a CJK encoding (Big5, SJIS, etc) or an extended unicode encoding which will cover code points outside of the BMP.
For fonts with special 1-byte encodings (such as symbol) it will provide a "symbol" encoding which maps a known page in the corporate use area to the glyphs.
cvar
variations on cvt table
Used to specify hinting differences in distortable fonts
*
cvt
control value table
FontForge uses this when it attempts to hint truetype fonts (FontForge will read it from a font and save it into another).
EBDT
embedded bitmap data
Provides the actual bitmap data for all bitmap glyphs in MS/Adobe fonts. 'bdat' is used by Apple instead (and has the same format)
*
EBLC
embedded bitmap location
Provides pointers to the appropriate bitmap data for each bitmap glyph in MS/Adobe fonts. 'bloc' is used by Apple instead (and has the same format)
*
EBSC
embedded bitmap scaling
Provides information on how to scale bitmaps (on those rare occasions where this is desirable). FontForge uses it when making bitmap only fonts for windows.
feat
layout feature table
Maps features specified in Apple's 'morx' (or 'mort') tables into names provided in the 'name' table. FontForge generates this when it generates a 'morx' table.
*
FFTM
FontForge timestamp
This table is unique to FontForge. It contains three timestamps: First FontForge's version date, then when the font was generated, and when the font was created. I describe its format here.
*
*
fpgm
font program
FontForge never generates this, but it will preserve it and allows users to edit it.
fvar
font variations
Provides top level information about distortable fonts. Specifies the types of distortions possible.
*
gasp
grid-fitting and scan conversion
When FontForge does not attempt to hint a truetype font it will generate this table which tells the rasterizer not to to do grid-fitting (hinting) but to do anti-aliasing instead.
GDEF
glyph definition
Divides glyphs into various classes that make using the GPOS/GSUB tables easier. Also provides internal caret positions for ligatures. It is approximately equivalent to Apple's 'prop' and 'lcar' tables combined.
*
glyf
glyph outline
Provides outline information for truetype glyphs. Vaguely equivalent to 'CFF '.
GPOS
glyph positioning
Provides kerning information, mark-to-base, etc. for opentype fonts. See the chapter on GPOS in FontForge for more information. Vaguely equivalent to 'kern' and 'opbd' tables.
*
GSUB
glyph substitution
Provides ligature information, swash, etc. for opentype fonts. See the chapter on GSUB in FontForge for more information. Vaguely equivalent to 'morx'.
*
gvar
glyph variations
This table contains the meat of a distortable font. It specifies how each glyph can be distorted.
*
head
font header
Contains general font information, such as the size of the em-square, a time stamp, check sum infomation, etc.
hhea
horizontal header
This table contains font-wide horizontal metric information.
hmtx
horizontal metrics
This contains the per-glyph horizontal metrics.
kern
kerning
Provides kerning information for Apple's truetype fonts (and for older MS truetype fonts). In OpenType fonts this information is contained in the GPOS table.
lcar
ligature caret
This table provides the location of carets within ligatures in an Apple font. This information is contained in the GDEF table in opentype fonts.
*
loca
glyph location
This provides a pointer into the 'glyf' table for each glyph in the font. It is required for truetype and meaningless for opentype (where vaguely equivalent information is provided in the CFF table).
MATH
mathematical typesetting
Provides general information needed for mathematical typesetting.
This is a new table (August 2007) and there is currently no publicly available documentation for it.
*
*
maxp
maximum profile
Provides general "maximum" information about the font. This contains: the maximum number of glyphs in a font, the maximum number of points in a glyph, the maximum number of references in a glyph, etc.
mort
metamorphosis
FontForge will read this table but not generate it. This table has been replaced by the 'morx' table which will be generated instead. It is vaguely equivalent to the GSUB table.
*
morx
extended metamorphosis
Provides ligature information, swash, etc. for apple's truetype fonts. FontForge can read and write this table. See the chapter on morx in FontForge for more information. Vaguely equivalent to 'GSUB'.
*
name
name
Provides certain standard strings relevant to the font (font name, family name, license, etc.) in various languages. In Apple fonts also provides the names of various features of the 'morx'/'mort' table.
opbd
optical bounds
This table provides optical bound information for each glyph in the table in an Apple font. This information may also be provided in the GPOS table of an opentype font.
*
PfEd
FontForge's personal table
This table is unique to FontForge. It can contain things like FontForge's comments, and colors.I describe its format here.
*
*
post
glyph name and postscript compatibility
This table provides some additional postscript information (italic angle), but mostly it provides names for all glyphs.
prep
cvt program
FontForge never generatest this table itself, but it will retain it when reading other fonts, and it allows users to edit it.
prop
glyph properties
Provides the unicode properties of each glyph for an Apple font. This table bears some similarities to the GDEF table.
*
TeX
TeX information
This table is unique to FontForge and is for use by TeX. I describe its format here.
*
*
vhea
vertical header
FontForge generates this table for fonts with vertical metrics. This table contains font-wide vertical metric information.
vmtx
vertical metrics
FontForge generates this table for fonts with vertical metrics. This contains the per-glyph vertical metrics.


| Coupon |
* Sponsored Results
(Microsoft PowerPoint - quality assurance M\374nchen)
Quality Assurance in Universities of Applied Sciences . Linking Higher Education . ISO 9000ff in context to demands of quality assurance in universities of .
http://www.eua.be/eua/jsp/en/upload/gs%20i%20-%203%20-%20ilger.1166003708611.pdf
Zimbabwe National Quality Assurance Programme (ZINQAP)
Zimbabwe National Quality Assurance Programme (ZINQAP) . being sent out by medical laboratories and point of service testing centres are reliable and timely .
http://wwwn.cdc.gov/mlp/pdf/GAP/ZINQAP.ppt
400 Elm Ave
Yukon,
OK 73099
housecleaning jobs melbourne australia
Family Night Dinner Group Studies Ministries for all ages
insurance program business rate monitoring nutritional value of chocolate chips audit jobs in tampa
900 S Littler Ave
Edmond,
OK 73034
perdita gudrun andrea acevedo
Basic Principles of Quality Assurance and Quality Control
Quality is a Lousy Idea-. If it's Only an Idea. Quality Assurance vs. Quality Control. Quality Assurance. An overall. management plan to. guarantee the. integrity of .
http://www.nj.gov/dep/oqa/powerpoint/QA%20course%20total.ppt
sony ericsson w350 reviews beowul mutiple choice test using kernel debugger in windows xp
500 S Country Club Rd
Quality Assurance
QECs are the Quality Assurance Units developed at universities to put a . Defining clear and explicit standards as points of reference to the reviews to be .
http://www.ajku.edu.pk/qec/QEC-Workshops.ppt
Stock Control, Quality Control and Quality Assurance - PowerPoint ...
Stock Control, Quality Control and Quality Assurance . Computerisation The functionality and power of computers allow companies to be able to keep .
http://www.bized.co.uk/sites/bized/files/docs/qualcontrol.ppt
all-well primary clinic edmonton ab how to build a backyard shed george soros and oil speculation
Basic Listings
226 S 29th St
NYSCHAP - Beef Quality Module
Determine the risks to producing quality beef on a dairy or beef operation. Section 3. Beef Quality Assurance Slide Set. Power Point presentation on the impact .
http://nyschap.vet.cornell.edu/module/beefquality/beefquality.asp
first frost porcelain dinnerware book stocker merchandiser charlotte nc physiotherapy associates in grand ledge mi
1202 W Grand Ave
Quality Assurance Program (.ppt)
Quality assurance program. (a) Definition. For purposes of this section, the term " hydrographic product" means any publicly or commercially available product .
http://www.nauticalcharts.noaa.gov/ocs/hsrp/archive/july2004/HSRPQAProgrambrief.ppt
thomas macafee funeral home greenville sc events maryland state fair grounds herpes vias de transmision
116 E Georgia Ave
Quality Assurance Project Plan Training
QUALITY ASSURANCE PROJECT PLANS. Overview. 2. Course Schedule. 3. Course Objectives. After this training, you will be able to: Discuss what information .
http://www.glc.org/glad/qaqc/qapp-student.ppt
jcm900 volume low 4500 goody's family clothing in bankruptcy school closings for rockingham county virginia
301 S 2nd St
Quality assurance in higher education its global future - OECD
1. Quality Assurance in Higher Education its Global Future. Richard Lewis. OECD/France International Conference. 8 9 December 2008. Conservatoire .
http://www.oecd.org/site/eduhe30/41887732.ppt
new pokemon series for new pokemon magic want tube video activities for the ten commandments
1910 S 20th St
Quality Assurance Program - cemtek environmental
Quality Assurance (QA) is a series of checks performed to ensure the QC procedures are functioning . Power Verification; Start-Up After a Short Shutdown .
http://www.cemteks.com/images/CEMTEK_Environmental_Quality_Assurance_Program_Presentation_given_by_Keith_Crabbe.ppt
green chrome spraycan paint metastatic spread from another tumor elite protective services az
728 W Michigan Ave
Arizona Youth Livestock Quality Assurance | Resources
rizona Power Point Training Resources. AZ Quality Assurance - General Overview and the 8 GPPs with notes; QA Challenge PowerPoint; PowerPoints from .
http://extension.arizona.edu/quality/resources/power-point.html
hauntings at black swan inn texas terminologies in communications engineering physiotherapy associates in grand ledge mi
3340 S 16th St
Quality Assurance for Cardiac Surgery - PCCVS
California Society of Thoracic Surgeons Annual Meeting. Stanford University, July 30th, 2005. Quality Assurance is the largest structural problem facing cardiac .
http://pccvs.com/files/presentations/comprehensive_qa.pps
www las vegas entertainment paint natural steel restoration crowne plaza hotel worchester ma
828 S 9th St
laboratory assessment, licensing ? Bad - World Health Organization
Quality assurance in laboratories. Quality Control. May 2007. Laboratory Training for Field Epidemiologists. Learning objectives. At the end of the presentation, .
http://www.who.int/ihr/lyon/surveillance/quality_control/ihr_l17qualitycontrol_en.ppt
what is a cash sweep villians of the middle ages solar energy be used
1300 S 29th St
Quality Assurance PowerPoint Training
Jun 22, 2010 . Guidance Training (F520) §483.75(o) Quality Assessment and Assurance.
http://www.slideshare.net/Victoria71/quality-assurance-powerpoint-training
toyoota and rental costa rica mind fire trading systems ada space saver toliet
102 E Almar Dr
Quality Program PowerPoint Presentation - The Institute of Internal ...
Q. Why is a quality assurance and improvement program necessary? A. As an organization grows, its operations undergo refinement, and its internal processes .
https://na.theiia.org/services/quality/Public_Documents/Quality%20Program%20PowerPoint%20Presentation.ppt
ski shop burlington vt movie trailers hulk avabile downloading que es la estadistica inferencial
320 S 4th St
The Basis for Quality Assurance - EHEA
Overview - Ireland; The basis for quality assurance; The practice of quality assurance in the Irish . Degree awarding powers since 1997; Qualifications Act 1999 .
http://www.ehea.info/Uploads/Seminars/COSTELLO%20Fergal_EN.ppt
license click key enter new pokemon series for new pokemon location of storm surge
901 W Grand Ave
Internal Quality Assurance Applied by Asian Universities
Internal Quality Assurance Applied by Asian Universities. Associate Professor Tan Kay Chuan. Director, Office of Quality Management. Drivers of Internal Quality .
http://www.highereducation.ac.cy/en/conferences/asem2010/presentations/17_internal_quality_assurance_mechanisms_applied_by_asian_universities.ppt
solor panel system price magic want tube video waste heat boiler vendors
2414 State Highway 92
Overview of Quality Assurance
Quality
. Quality Assurance; Quality Control; Quality Improvement; Quality Indicators; Quality System; Quality . Why Is Quality Assurance of Testing Important ?
http://wwwn.cdc.gov/dls/ila/training%20workshops/uganda%20workshop%20-%20nov%202002/Quality_Assurance/Overview_of_QA.ppt?ois=0
124 S 6th St
Henry Ford - SGNAregions.org
Understand the importance of Quality Assurance and Performance Improvement in healthcare. Identify important quality topics and issues in Endoscopy. List the .
http://www.sgnaregions.org/northtx/images/NTSGNA_2011_A_Practical_Approach_to_Quality_Assurance_and_Performance.ppt
3320 S 16th St
Measurement Quality Objectives
July 2, 2009: 11-12 (Quality Assurance Help Desk) . Surface Water Ambient Monitoring Program Quality Assurance Program Plan (SWAMP QA Plan); The .
ftp://swrcb2a.waterboards.ca.gov/pub/swamp/Karen%20Worcester/SWAMP%20Quality%20Assurance-Control%20Comparability.ppt
lancair 235 flight tests linx bus schedule kissimmee clonidine for sleep issues
802 Frisco Ave
Quality assurance for graduate programs, and a graduate
Quality assurance and graduate student support . Canadian national context for quality assurance; Quality assurance criteria for graduate programs; Canadian .
http://www.csc.edu.cn/laihua//upload/pic/Chengdu%20Forum,%20FL%20Hall(3).ppt
damages done by the tsunami most white christian states dental assistant gainesville florida
609 W Highway 277
Quality Assurance.ppt
Jun 22, 2010 . GP-810, Attachment 1, Quality Assurance Program (QAP); supervision and . Guidance for Quality Assurance Project Plans for Modeling .
http://www.slideshare.net/Victoria71/quality-assuranceppt
mayor of anaheim contact info game genie rom torrent joint commission medications qid
2828 S 9th St
PowerPoint-esitys - ENQA
Internal quality assurance common challenges among ENQA agencies . Point of view of an external review panel; ESG ENQA membership EQAR?
http://www.enqa.eu/files/Riitta%20Pyykko%20IQA%20seminar%20The%20Hague.ppt
the black white affair gulfside manor vacation rental indian rocks roper corporation la fayette ga
202 S 6th St
Aviation Safety Quality Assurance Programme - ICAO
AVIATION SAFETY QUALITY ASSURANCE PROGRAMME. International Civil Aviation Organization. Capt. Jan Jurek. Regional Officer, Safety Oversight .
http://legacy.icao.int/icao/en/ro/nacc/ATSQAPS/11s_d_Safety_Jurek.ppt
428 E Almar Dr
Government Contract Quality Assurance - ASQ
Authority. Federal Acquisition Regulations (FAR) Part 46, Quality Assurance. Contract quality . Government Mandatory Inspection Points (GMIPs). Safety Critical .
http://asq.org/asd/2007/03/government-contract-quality-assurance.ppt
beach ocean wave sounds world of warcraft class guide kwc kg 53 ahb
Quality Assurance in the Modern Laboratory - polqm
History of Quality for the. Modern Medical Laboratory. Michael A. Noble MD FRCPC. Chair, Program Office for Laboratory Quality Management. Department of .
http://www.polqm.ca/powerpoint/history_qm.ppt
Beef Quality Assurance - BQA Guidelines
Download the National Best Management Practices PowerPoint slides here. . They are good production practices to guarantee the quality of beef products, .
http://www.bqa.org/codeguidelines.aspx
Florida Medical Quality Assurance - Attachment 1-Florida ...
Division of Medical Quality Assurance. Health Care Practitioner Regulatory Process. Department of Health. Division of Medical Quality Assurance. Complaint .
http://doh.state.fl.us/mqa/Publications/disc_Attachment1.pdf
* Sponsored Results
| Select from the listings below | (catherine freer powered by phpbb) | |
|
find jacqueline johnson atlanta georgia 226 S 29th St UNESCO and Quality Assurance - Council for Higher Education ... |
||
|
nutritional value of chocolate chips 1202 W Grand Ave PowerPoint-Präsentation - Gmeuropearchive.info |
||
|
stanfords home center plum pa 116 E Georgia Ave Powerpoint animation notes - Alaska Sea Grant College Program |
||
|
solor panel system price 301 S 2nd St Chris Haslam, Internal and external institutional quality assurance |
||
|
safe driver classes birmingham al 1910 S 20th St UNL Animal Science Assuring Quality |
||
|
buy luxury sport cars 728 W Michigan Ave Software QA Guidance Document |
||
|
homelife lint traps picture 3340 S 16th St IIUM Power Point Template - COMSATS Institute of Information ... |
||
|
mazda 626 transmission repair guide 828 S 9th St reliability and quality assurance program for space missions - Congrex |
||
|
2c loan private student 1300 S 29th St PowerPoint-Präsentation - WIPO |
||
|
mayor of anaheim contact info 102 E Almar Dr Pv QA: Quality Assurance for Pharmacovigilance - SSFA |
||
|
pressure drop across heat exchanger 320 S 4th St Knut Hove, Quality assurance at the Norwegian University |
||
|
elizabeth clubb md baton rouge 901 W Grand Ave PROJECT QUALITY MANAGEMENT.ppt |
||
|
rugby italy under 19 2414 State Highway 92 Quality Assurance Presentation - Skills Development Scotland |
||
|
inkjet printer cleaning pads 124 S 6th St EPA Quality System - Training Courses |
||
|
learn spanish online free easy 3320 S 16th St Giorgio Allulli-Displaying the background of quality assurance |
||
|
st augustine's view about man 802 Frisco Ave Standard Guide for Science- and Risk-Based Approach to ... |
||
|
ff7 cloud's wolf jewelry 609 W Highway 277 Quality Assessments Lessons Learned-Best Practice |
||
|
herpes vias de transmision 2828 S 9th St PowerPoint Presentation |
||
|
the best homemade hd tv antenna 202 S 6th St Total Quality Management PPT | Free Powerpoint Templates |
||
|
map of pacific midway island 428 E Almar Dr External Quality Assurance Process in ProvLab Context Rapid ... |
||
| Select from the listings above | (find jacqueline johnson atlanta georgia) | |


parker inter college is a up board college and this estiblish was 1863this was the devlope by the E.W parker


| Psy::Output::Poy |
Psy::Output::Poy
Version 0.01
use Psy::Psy;
Returns the the total number of blocks exported when successfull.
Defaults are in (), valid options are in [ ]
-mode (do_all) [do_all fso_all do_unbrack_fso_brack do_brack_fso_unbrack fso_unbrack do_unbrack do_brack fso_brack] legal values are: 'do_all' - DO on all blocks 'fso_all' - FSO on all blocks 'do_unbrack_fso_brack' - DO on unbracketed, FSO on bracketed 'do_brack_fso_unbrack' - DO on bracketed, FSO on unbracketed 'fso_unbrack' - FSO on unbracketed, bracketed excluded 'do_unbrack' - DO on unbracketed blocks, bracketed excluded 'do_brack' - DO on bracketed, unbracketed excluded 'fso_brack' - FSO on bracketed, unbracketed excluded -min_terminals (80) [0 to 100] see POY manual -use_prealigned (0) [0 1] detect blocks that are prealigable and indicate them as such -strip_bracketed_gaps [0 1] -use_deletegapsfrominput (0) [0 1] -legal_alphabet (IUPAC + '#*? ') [any POY legal character] the legal POY alphabet, is set by default and shouldn't likely be used -u2t (0) [0 1] translates U to T when set to 1 -clean (1) [0 1] -replace ('N') -heuristics (contents of <DATA> ) [any legal POY options, as a string] overwrites the heuristics in <DATA>, included in the .cmd file
Note on usage of ?, -, and N, we assume: ? is missing data (positions are stripped) N is ambiguous/missing data whose positions should NOT be stripped (however paritions of only N will be stripped) - is true gap (always stripped for POY).
| Psy::Output::Poy |


Electrical Engineer, Writer, Leader
An Engineer Looking for Impactful and Challenging Work.
As a senior electrical engineering student, I have spent the last four years building a strong foundation from the core principles of electromagnetics, circuit analysis, analog circuit design, and device physics. I am looking for new, challenging, opportunities to take apply my skills in a competitive, fast-paced environment.
Working as an electrical design engineer for my senior capstone project, I gained hands on experience in designing device power systems and PCBs, developing firmware, producing system prototypes, and performing sensor validation and verification.
After four years at The College of New Jersey (TCNJ) in the Electrical and Computer Engineering department, I have gained a wealth of practical experience in the research, design, and development of electrical circuits. Studying in a small classroom setting has allowed me to learn practical skills from seasoned industry veteran, producing an effective set of troubleshooting and debugging skills.
Rigorous academics from the North's top regional public college (U.S. News and World Report, 2020) has provided me with a comprehensive set of foundational skills in engineering mathematics and physics.
In addition to the more than 50 labratory reports and presentations given or written as an undergraduate, my capstone culminated with the production of an exhaustive set of documentation with almost 500 pages of concise and effective technical writing.
Member of a highly selective (~2% acceptance) community based leadership development program defined by a 300 hour contract per academic year. Appointed as one of four founding members of the Bonner Leadership Team to represent the program’s 100 students and inform program policy.
The program has allowed me to work alongside diverse populations and nonprofits within the Trenton community on pressing issues such as education inequality, prison reform, and environmental sustainability in a small team setting. Simultaneously, I facilitate eight-hour workshops for over 200 first-year students through diverse and challenging service experiences.
Carnegie Mellon University: School of Computer Science - Human Computer Interaction Institute
University of Pennsylvania, PennApps XVIII - Not All Hackers Wear Capes
The College of New Jersey, School of Electrical and Computer Engineering, School of Biomedical Engineering


Hello
My awesome web page
how are you?
what did you do today?
Have a great day and keep on smiling!
This is a link to GitHub!


A shared object between directive compile / linking functions which contains normalized DOM
element attributes. The values reflect current binding state {{ }}
. The normalization is
needed since all of these are treated as equivalent in Angular:
<span ng:bind="a" ng-bind="a" data-ng-bind="a" x-ng-bind="a">
$normalize(name);
Converts an attribute name (e.g. dash/colon/underscore-delimited string, optionally prefixed with x-
or
data-
) to its normalized, camelCase form.
Also there is special case for Moz prefix starting with upper case letter.
For further information check out the guide on Matching Directives
| Param | Type | Details |
|---|---|---|
| name | string |
Name to normalize |
$addClass(classVal);
Adds the CSS class value specified by the classVal parameter to the element. If animations are enabled then an animation will be triggered for the class addition.
| Param | Type | Details |
|---|---|---|
| classVal | string |
The className value that will be added to the element |
$removeClass(classVal);
Removes the CSS class value specified by the classVal parameter from the element. If animations are enabled then an animation will be triggered for the class removal.
| Param | Type | Details |
|---|---|---|
| classVal | string |
The className value that will be removed from the element |
$updateClass(newClasses, oldClasses);
Adds and removes the appropriate CSS class values to the element based on the difference between the new and old CSS class values (specified as newClasses and oldClasses).
| Param | Type | Details |
|---|---|---|
| newClasses | string |
The current CSS className value |
| oldClasses | string |
The former CSS className value |
$observe(key, fn);
Observes an interpolated attribute.
The observer function will be invoked once during the next $digest
following
compilation. The observer is then invoked whenever the interpolated value
changes.
| Param | Type | Details |
|---|---|---|
| key | string |
Normalized key. (ie ngAttribute) . |
| fn | function(interpolatedValue) |
Function that will be called whenever the interpolated value of the attribute changes. See the Directives guide for more info. |
| function() | the |
$set(name, value);
Set DOM element attribute value.
| Param | Type | Details |
|---|---|---|
| name | string |
Normalized element attribute name of the property to modify. The name is reverse-translated using the $attr property to the original name. |
| value | string |
Value to set the attribute to. The value can be an interpolated string. |
$attr
A map of DOM element attribute names to the normalized name. This is needed to do reverse lookup from normalized name back to actual name. |


Hi {{ user.first_name }},
A paper titled: "{{ title }}" in conference: "{{conference}}" with you as an author has been updated.
For your convenience, we have set up a new account for you. You can log in with your current email address and password: {{ password }}. We highly recommend that you change the password after first-time login.


Example website with a blog and newsletter.
The documentation is written as a series of blog entries, and an un-indexed summary page.
Example website with a blog and newsletter.
The documentation is written as a series of blog entries, and an un-indexed summary page.


It's a resort design proposal for Ramgarh valley having a slope of 60-degree gradient high above offering a view of the deep valley. The concept is based on Muzictecture inspired by Mandala.
An auditorium design proposal for the Design Institute. Inspired by the Counch shape, embellishing smooth surface and the room inside where the sound comes from.
A restaurant with a difference in one of the posh area of Goa. Inspired by sattvic concept creating a ingenious design
A juice bar with a difference in one of the posh area of Goa. Inspired by its location creating a milieu of beach and vibrant land at a single venue.


|
Fractal Trees With Springs
0.1
|
For demo purposes. Listens for changes in UI and updates Branch variables. More...
Public Attributes | |
| TreeBuilder | treeBuilder |
| InputField | genInput |
| InputField | lengthInput |
| InputField | multiplierInput |
| InputField | angleInput |
| InputField | widthInput |
For demo purposes. Listens for changes in UI and updates Branch variables.


I am currently an undergraduate student pursuing a major in Systems and Computing Engineering with complementary studies in Visual Computing at Universidad de los Andes in Bogotá, Colombia. Right now, I am in my 8th semester. I’m interested in design, UI/UX and visualization but also in data base management and data mining. I really enjoy working in interdisciplinary teams and learning from everyone!
Espero algun dia hacer algo que impresione a John Guerra
Drawing is my passion I can do it for hours without getting bored. Digitally I work with Sai and Photoshop. I can also use colors, watercolors and pencil.
Stories 📖
I 💕 stories in all their forms: Movies, series, books, animes … I love getting lost in their worlds. I also like to write them!
My favorite movie is Léon:The professional
Music 🎧
I can’t live without music and I listen to it all the time, my favorite genre is indie rock and my favorite band is Gorillaz. I also listen to lots of Italian musicians (Jovanotti is life 🎤)
Video Games 🎮
I enjoy playing video games in my free time. I play League of Legends with my friends, but I prefer story-driven games like Life is Strange and puzzles like Portal. I’m, bad at shooters. 😅


colorama: Simple cross-platform Python API for colored terminal text
Announcing new Python package, Colorama.
ANSI escape character sequences have long been used to produce colored terminal text on Unix and Macs. Colorama makes this work on Windows, too. It also provides some shortcuts to help generate these ANSI sequences, and works fine in conjunction with any other ANSI sequence generation library, such as Termcolor (http://pypi.python.org/pypi/termcolor.)
This has the upshot of providing a simple cross-platform API for
printing colored terminal text from Python, and has the happy
side-effect that existing applications or libraries which use ANSI
sequences to produce colored output on Linux or Macs can now also work
on Windows, simply by calling colorama.init()
.
I realise that printing colored terminal text is verging on pathalogically superficial, but it has long irked me that this didn't just work. Python should make this easy.
My mapping of ANSI conventions to the equivalent Win32 calls is far from perfect. Currently it has the following results. ANSI codes under Ubuntu on gnome-terminal:
and the exact same ANSI codes printed on Windows under Colorama:
Update: I previously wrote here about discrepancies between the two, which have since been fixed. The only outstanding issue is that colorama does not support 'dim' text on Windows - it looks just the same as 'normal' text, and as far as I know, will never be able to.


Health & Care
Health & Care
View Patient
Search Patient
Add Patient
Log Out
Add Patient
First Name
Last Name
Date of Birth
Address
Department
Select your Department/Office
Cardiac ICU
Oncology ICU
Neurology ICU
Intensive ICU
Cardiac ICU
Gender
Select your Gender
Male
Female
Other
Doctor


jewish_art_will_deutsch_mikveh_jews_judaism.jpg http://store.notesfromthetribe.com/product/jewish-art-8-5-x11-mikveh-print
I feel bad for Jewish vampires.
I mean here they are, constantly surrounded by death, decay and abnormal discharges of body fluid, yet they cannot step foot in a body of running water.
Especially not the holy baths of a mikveh.
They don’t much like crosses either.
I guess the undead must be Buddhists.


FT Graphics Examples
Small examples of data driven graphics -- to be used as starting points.
Bubble chart
Chord diagram
Circle timelines
Constituency cartogram by category
Dot plot
Line chart
Heatmap calendar
Icon array (10 x x10)
Open-high-low-close chart stock price chart
Scatter plot
Slopechart-basic
Slopechart-elections
Small multiples (line)
Small multiples (area)
Small multiples (bars)
Small multiples (columns)
Tree-map
World choropleth
Wrapped bubble
Wrapped circle timeline
Wrapped pie
Wrapped slope
Wrapper


Parallax is an effpirulina protein strengthens and nourishes while an innovative formaldehyde free bonding polymer mimics the coating and smoothing properties of a keratin treatment when activated by heat. GoodBehavior also helps to cut down on blow-drying time and helps to protect against humidity, heat and UV damage, leaving hair soft, shiny and frizz-free. 24-hour frizz control. 450*F Heat Protection. KEY BENEFITS Safe For Chemically Treated Hair Safe For Chemically Treated Hair Frizz Control Frizz Control Heat Protectant Heat Protectant Shine Shine WHO IT'S BEST FOR Straight Wavy Curly Coiled Tightly Coiled HOW TO USE Mist over damp hair in sections. Comb through, ensuring every strand is thoroughly coated from root to tip. Blow-dry in sections to seal in the treatment with heat. Style as usual or apply again and finish ect where the background content or jdrjfjfjffffffffffffffffffffffffffffffffffffffjfjfjffffffffffffffffffffffffffffffffffffffffffimage in this case, is moved at a different speed than the foreground content while scrolling.
Parallax is an effpirulina protein strengthens and nourishes while an innovative formaldehyde free bonding polymer mimics the coating and smoothing properties of a keratin treatment when activated by heat. GoodBehavior also helps to cut down on blow-drying time and helps to protect against humidity, heat and UV damage, leaving hair soft, shiny and frizz-free. 24-hour frizz control. 450*F Heat Protection. KEY BENEFITS Safe For Chemically Treated Hair Safe For Chemically Treated Hair Frizz Control Frizz Control Heat Protectant Heat Protectant Shine Shine WHO IT'S BEST FOR Straight Wavy Curly Coiled Tightly Coiled HOW TO USE Mist over damp hair in sections. Comb through, ensuring every strand is thoroughly coated from root to tip. Blow-dry in sections to seal in the treatment with heat. Style as usual or apply again and finish ect where the background content or jdrjfjfjffffffffffffffffffffffffffffffffffffffjfjfjffffffffffffffffffffffffffffffffffffffffffimage in this case, is moved at a different speed than the foreground content while scrolling.
Parallax is an effpirulina protein strengthens and nourishes while an innovative formaldehyde free bonding polymer mimics the coating and smoothing properties of a keratin treatment when activated by heat. GoodBehavior also helps to cut down on blow-drying time and helps to protect against humidity, heat and UV damage, leaving hair soft, shiny and frizz-free. 24-hour frizz control. 450*F Heat Protection. KEY BENEFITS Safe For Chemically Treated Hair Safe For Chemically Treated Hair Frizz Control Frizz Control Heat Protectant Heat Protectant Shine Shine WHO IT'S BEST FOR Straight Wavy Curly Coiled Tightly Coiled HOW TO USE Mist over damp hair in sections. Comb through, ensuring every strand is thoroughly coated from root to tip. Blow-dry in sections to seal in the treatment with heat. Style as usual or apply again and finish ect where the background content or jdrjfjfjffffffffffffffffffffffffffffffffffffffjfjfjffffffffffffffffffffffffffffffffffffffffffimage in this case, is moved at a different speed than the foreground content while scrolling.
Parallax is an effpirulina protein strengthens and nourishes while an innovative formaldehyde free bonding polymer mimics the coating and smoothing properties of a keratin treatment when activated by heat. GoodBehavior also helps to cut down on blow-drying time and helps to protect against humidity, heat and UV damage, leaving hair soft, shiny and frizz-free. 24-hour frizz control. 450*F Heat Protection. KEY BENEFITS Safe For Chemically Treated Hair Safe For Chemically Treated Hair Frizz Control Frizz Control Heat Protectant Heat Protectant Shine Shine WHO IT'S BEST FOR Straight Wavy Curly Coiled Tightly Coiled HOW TO USE Mist over damp hair in sections. Comb through, ensuring every strand is thoroughly coated from root to tip. Blow-dry in sections to seal in the treatment with heat. Style as usual or apply again and finish ect where the background content or jdrjfjfjffffffffffffffffffffffffffffffffffffffjfjfjffffffffffffffffffffffffffffffffffffffffffimage in this case, is moved at a different speed than the foreground content while scrolling.
Parallax is an effpirulina protein strengthens and nourishes while an innovative formaldehyde free bonding polymer mimics the coating and smoothing properties of a keratin treatment when activated by heat. GoodBehavior also helps to cut down on blow-drying time and helps to protect against humidity, heat and UV damage, leaving hair soft, shiny and frizz-free. 24-hour frizz control. 450*F Heat Protection. KEY BENEFITS Safe For Chemically Treated Hair Safe For Chemically Treated Hair Frizz Control Frizz Control Heat Protectant Heat Protectant Shine Shine WHO IT'S BEST FOR Straight Wavy Curly Coiled Tightly Coiled HOW TO USE Mist over damp hair in sections. Comb through, ensuring every strand is thoroughly coated from root to tip. Blow-dry in sections to seal in the treatment with heat. Style as usual or apply again and finish ect where the background content or jdrjfjfjffffffffffffffffffffffffffffffffffffffjfjfjffffffffffffffffffffffffffffffffffffffffffimage in this case, is moved at a different speed than the foreground content while scrolling.


An image which represents something relevant to my story
A second image which represents something relevant to my story
A third image which represents something relevant to my story


Northwest Montana grizzly deaths spur pushback
MISSOULA, Mont. (AP) - The mortality rate of grizzly bears in northwestern Montana has prompted a group of bear researchers to challenge whether the grizzly should be removed from federal protection.
This month a grizzly bear was shot by a hunter east of Eureka and state wildlife managers killed another bear near Libby after it broke into a garage to eat a harvested elk.
The Missoulian reports the number of known grizzly deaths in the Northern Continental Divide Ecosystem recovery zone this year has reached 48.
Five non-governmental grizzly bear researchers will challenge assertions that the ecosystem’s population can be delisted during a presentation Friday at the University of Montana.
Last month, a state biologist said it was too early to say whether the recovery zone grizzly deaths were alarming or even a trend.
Information from: Missoulian, http://www.missoulian.com
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


@examples The following example demonstrates the two ways to create a BinaryReader object using the NewBinaryReader constructor method.
Public Sub Main() Dim Source As FileStream Dim Reader As BinaryReader Set Source = File.OpenFile("MyFile.txt", FileMode.OpenExisting) ' method one Set Reader = NewBinaryReader(Source) ' method two Set Reader = Cor.NewBinaryReader(Source) End Sub


README¶
Low Usage AWS Utility(LUAU)¶
LUAU is a plug-n-play suite of lambdas that aims to minimize the cost of operations of amazon account by acting upon Trusted Advisor(TA) recommendations.
Documentation¶
You can read the documentation here
Source Code¶
You can view the source code in this repository.
Rationale behind development of the product¶
You can read the corresponding Medium blog here
How it works?¶
LUAU utilizes amazon’s tagging system to create a framework that can alert users about their unececessary expenditure and help act upon them.
Installation Guide¶
Before Cloning the Repo¶
- Make sure you can use the AWS CLI on your machine and that you can access the environment you want to deploy LUAU to.
- Register an email account with SES that will be used to send email reports
- Create an S3 Bucket that will be used to store the Lambda .ZIP source.
- Create the following parameters in SSM Parameter Store
- LAMBDA_CODE_BUCKET – S3 Bucket Name
- SES_EMAIL – Email Address registered to SES in Step 1.
- ADMIN_EMAIL – Email Address that will receive the Admin Report.
- This requires AWS Trusted Advisor Business support to access the AWS Support APIs
After Cloning the Repo¶
- In resources/env.properties, set the AWS_REGION to your desired region (default is us-west-2)
- cd into the project root.
- install python 3.6 (and check that it works by running
which python3.6
) and create a virtual environment with it.virtualenv venv_dev --python=$(which python3.6)
. Don’t use the venv virtual environment as that is used in the build script to create an artifact. … Locally the build and deploy scripts worked with python 3.7 but the cloudformation script specifies that python 3.6 is required. - Run
python3 ./bin/create_templates.py
. This will create the SES Email templates used in the email reports - Run
./bin/build.sh
. This will generate the LUAU ZIP Artifact. You may need to edit the files permissions to run this - Run
./bin/deploy.sh
. This will deploy LUAU to your AWS Environment. You may need to edit the files permissions to run this
Package Structure¶
├── bin
│ ├── build.sh -- Builds deployment package
│ ├── create_templates.py -- Used to create email templates in SES
│ └── deploy.sh -- Deploys lambdas via CloudFormation
├── low_use -- Parses low-use instances and sends reports
│ ├── report_parser.py -- Parses low-use report
│ └── reporter.py -- Tags instance as LowUse, Whitelisted, or Scheduled For Deletion. Also sends SES Emails and stops instances
├── requirements.txt
├── resources
│ ├── env.properties -- Parameters for Lambdas (SES Email, etc.)
│ ├── sam.yaml -- SAM template for deployment
│ └── templates
│ ├── admin_report.json -- Email template for Admin Report
│ └── low_use_report.json -- Email template for creator-level report
├── tagger
│ ├── asg_tagger.py -- Tags Autoscaling groups and their instances
│ ├── ec2_tagger.py -- Tags EC2 resources (Instances, AMIs, EBS Volumes, SGs)
│ └── parser -- Parses AWS API Event JSON
│ ├── __init__.py
│ ├── asg_event.py
│ ├── base_event.py
│ └── ec2_event.py
└── util
├── aws.py -- Basic AWS Wrapper (SES, TrustedAdvisor, EC2, ASG)
└── dynamo.py -- Wrapper for Dynamo tables (CRUD Access)
- bin: Contains build/deploy scripts
- low_use: Will contain the Lambda function(s) responsible for processing Trusted Advisor data and emailing out the Low Use reports
- resources: This contains configuration files used in the build/deploy processes. Right now it only contains the SAM template for the tagger.
- tagger: This contains the Lambda functions responsible for auto-tagging AWS resources. Currently tags EC2, ASG, EBS, AMI, and Security Groups. This package also contains a parser subpackage used to parse the event data.
- test: Where the tests go. Each Python package will have it’s own test package called
[package_name]_test
. This also contains a folder with example event data for the events we want to handle. - util: This is a Python package that will contain utility modules that can be shared by the other packages. This includes things like AWS calls.


Quickly sample and summarize a FASTQ file. Your data never leaves the browser.
Use Example FASTQ (NA12878)


Summary
To find out more about buffer overflow vulnerabilities, please go to Buffer Overflow pages.
See the OWASP article on Buffer Overflow Attacks.
See the OWASP article on Buffer Overflow Vulnerabilities.
How to test
Different types of buffer overflow vulnerabilities have different testing methods. Here are the testing methods for the common types of buffer overflow vulnerabilities.
Code Review
See the OWASP Code Review Guide article on how to Review Code for Buffer Overruns and Overflows Vulnerabilities.


Toggle navigation
All india Transporter's Welfare Association
Home
About
Blog
Committes
Members List
Achievements
Acts and Notifications
Gallery
Contact Us
Quick Links
Action
Another action
Something else here
Action
Another action
Something else here
Gallery
«
1
2
3
4
5
»


Press any key to get the JavaScript event keycode
event.key
change me
event.code
change me
event.which
change me


Excellent teaching is constantly evolving. Detailing your teaching journey requires opportunities to showcase, reflect upon, improve, and evaluate your instruction. The following tools will be useful in navigating that process!
Students are a rich source of ideas for improving a course, but often we can be left feeling unsure of what students mean in their course evaluations or how to respond to the information. One of the best ways to optimize your student feedback is to include a mis-course evaluation as This provides time to discuss feedback with your students and implement changes. In fact, research suggests that using mid-course evaluations is associated with more positive end-of-course evaluations.
UMDCP’s Teaching and Learning Transformation Center (TLTC) offers excellent portfolio resources for faculty who are in the process of building up their teaching portfolio, including sample portfolios and intensive portfolio development workshops. OTL is also happy to offer support and portfolio review, just email teach@rhsmith.umd.edu.


|
Houzi Game Engine
|
Specialization of a binary_stream representing an audio stream. More...
#include <audio_stream.hpp>
Public Types | |
| using | sample_position = long |
| Position indicator representing the number of samples from the beginning of the file. | |
| using | sample_offset = long |
| Offset of the sample position indicator in bytes. | |
| Public Types inherited from hou::binary_stream | |
| using | byte_position = long |
| Position indicator representing the number of bytes from the beginning of the file. | |
| using | byte_offset = long |
| Offset of the byte position indicator in bytes. | |
Public Member Functions | |
| audio_stream () noexcept | |
| default constructor. | |
| audio_buffer_format | get_format () const noexcept |
| Gets the audio format of the stream. More... | |
| uint | get_channel_count () const noexcept |
| Gets the number of channels of the stream, based on its audio format. More... | |
| uint | get_bytes_per_sample () const noexcept |
| Gets the number of bytes per sample of the stream, based on its audio format. More... | |
| uint | get_sample_rate () const noexcept |
| Gets the number of samples per second. More... | |
| virtual size_t | get_sample_count () const noexcept=0 |
| Gets the number of samples in the stream for a single channel. More... | |
| virtual sample_position | get_sample_pos () const =0 |
| Gets the current sample position indicator. More... | |
| virtual audio_stream & | set_sample_pos (sample_position pos)=0 |
| Sets the current sample position indicator. More... | |
| virtual audio_stream & | move_sample_pos (sample_offset offset)=0 |
| Moves the current sample position indicator. More... | |
| Public Member Functions inherited from hou::binary_stream | |
| virtual byte_position | get_byte_pos () const =0 |
| Gets the current byte position indicator. More... | |
| virtual binary_stream & | set_byte_pos (byte_position pos)=0 |
| Sets the current byte position indicator. More... | |
| virtual binary_stream & | move_byte_pos (byte_offset offset)=0 |
| Moves the current byte position indicator. More... | |
| Public Member Functions inherited from hou::stream | |
| virtual | ~stream () |
| Destructor. | |
| virtual bool | eof () const noexcept=0 |
| Checks the end of stream indicator. More... | |
| virtual bool | error () const noexcept=0 |
| Checks the error indicator. More... | |
| virtual size_t | get_byte_count () const noexcept=0 |
| Retrieves the total number of bytes in the stream. More... | |
Protected Member Functions | |
| void | set_format (uint channels, uint bytes_per_sample) |
| Sets the audio format of the stream. More... | |
| void | set_sample_rate (uint sample_rate) noexcept |
| Sets the sample rate of the stream. More... | |
Specialization of a binary_stream representing an audio stream.
Setting or moving the position indicator throws when moving it to the middle of the data of a single sample.
|
noexcept |
Gets the number of bytes per sample of the stream, based on its audio format.
The number returned is the number of bytes per sample for a single channel.
|
noexcept |
Gets the number of channels of the stream, based on its audio format.
|
noexcept |
Gets the audio format of the stream.
|
pure virtualnoexcept |
Gets the number of samples in the stream for a single channel.
Implemented in hou::ogg_file_in, hou::wav_file_in, and hou::empty_audio_stream_in.
|
pure virtual |
Gets the current sample position indicator.
| hou::cursor_error | in case of an error. |
Implemented in hou::ogg_file_in, hou::wav_file_in, and hou::empty_audio_stream_in.
|
noexcept |
Gets the number of samples per second.
|
pure virtual |
Moves the current sample position indicator.
Throws if the offset moves the position indicator to a negative position or to a position higher than the number of samples in the stream.
| offset | the byte position indicator offset. |
| hou::cursor_error | in case of an error. |
Implemented in hou::ogg_file_in, hou::wav_file_in, and hou::empty_audio_stream_in.
Sets the audio format of the stream.
| channels | the number of channels. |
| bytes_per_sample | the number of bytes per sample per channel. |
| hou::precondition_violation | if channels or bytes_per_sample is different from 1 or 2. |
|
pure virtual |
Sets the current sample position indicator.
Throws if pos is negative or higher than the number of samples in the stream.
| pos | the sample position indicator value. |
| hou::cursor_error | in case of an error. |
Implemented in hou::ogg_file_in, hou::wav_file_in, and hou::empty_audio_stream_in.
|
protectednoexcept |
Sets the sample rate of the stream.
| sample_rate | the sample rate in samples per second. |