Evil Twins
They are designed to look like real hotspots. But when users log in to them, they unknowingly expose their passwords and other sensitive information to hackers.
Precaution: Warnings signs that hotspot users should watch for are unusual variations in the lettering, logo or wording of legitimate hotspots.
More: Evil twins
Man-in-the-Middle Attack:
The attacker keeps himself between two parties, making them believe that they are talking directly to each other over a private connection, when actually the entire conversation is being controlled by the attacker.
Precaution: Never connect to open WiFi routers directly. If you wish to so, you can use a browser plug-in such as HTTPS Everywhere or ForceTLS. These plug-ins will help you establishing a secure connection whenever the option is available.
More: Man-in-the-Middle Attack
Rogue ad hoc networks:
With names like "Free Public WiFi," these networks can turn up wherever there are public WiFi hotspots and can be used to trick unsuspecting WiFi users into connecting to them. Not all ad hoc networks are created by hackers. But it's impossible to distinguish the real ones from the fakes.
Precaution: Usage of air-monitors / wireless intrusion prevention systems can continuously scan the network and identify any live ad hoc network and report to the administrator.
More: Rogue ad hoc networks
I have used a Wi-Fi hotspot and I was concerned about Sniffer software
Sniffer software allows a hacker to monitor the traffic traveling to and from a computer that's connected to a public network. This can eavesdrop on emails and chats, capturing log-ins and personal or financial information.
New precautions I will take the next time I use one: Only use websites that are encrypted – ones that begin with https, not http, and display a security icon such as a padlock. This will protect any confidential information you exchange with those sites at hotspots.
More: Sniffer software
Safe surfing using a Wi-Fi hotspot
It is possible to surf safely using a Wi-Fi hotspot.
Precaution: Look over your Settings and disable sharing. Ensure that your software is up to date. Use a Virtual Private Network. VPNs encrypt all the data travelling to and from your laptop and other mobile devices by sending it through a secure tunnel that's invisible to hackers.
More: Safe surfing using a Wi-Fi hotspot


( a) Annual net anthropogenic emissions (PgC per year). RCP data (thick grey line) and projections (thin grey series) shown for comparison; annual and cumulative carbon flux from the atmosphere to the ( b) oceans and ( c) land sink (biosphere & pedosphere). Historical data with associated errors ( cf.equation (12)): IPCC AR5 (green bars) 3 and CMIP5 (brown bars) 5.


Hunt Country takes an integrated approach to managing your properties nuisance wildlife problem. We have extensive field experience with the lethal and non lethal control techniques for wildlife that may wreak havoc on your property. Some nuisance wildlife species include:
Resident Goose Management
Increasing resident Canada Goose populations can negatively effect properties by increasing nutrient loading of water bodies, increasing erosion due to shore line grazing and bank destabilization, and by stunting native aquatic vegetation growth. Hunt country has extensive hands on experience with managing resident Canada Geese. We are experienced with coordinating with the US Fish and Wildlife Service and the Virginia Department of Game and Inland Fisheries to obtain the necessary permits to carry out both lethal and non-lethal goose control.
What Options Are Out There?
There is no one single “silver bullet” to control resident goose populations. Hunt Country offers a variety of methods to help limit the damage geese cause to your property. Our methods include:


A timestamp proves that some data existed prior to some point in time. The OpenTimestamps protocol defines an open standard consisting in a set of operations for creating provable blockchain timestamps and later independently verifying them.
An OpenTimestamps calendar server provides aggregation of multiple documents allowing to timestamp all of them at the same time using just a single blockchain transaction. Moreover, a calendar server can offer its services to multiple remote OpenTimestamps clients. While anyone could realize a timestamp with the permissionless blockchain(s) by paying the transaction fees, OpenTimestamps public servers are free to use without any registration or API key.
While the OpenTimestamps protocol is blockchain agnostic, a timestamp is as reliable as the used blockchain:
This webpage is an interface to create timestamp proofs using the facilities provided by the OpenTimestamps public free bitcoin calendar servers: Bitcoin's blockchain is used as a timestamp notary, i.e. the proof is attested in a Bitcoin block header. Timestamps can be verified independently using a local Bitcoin Core node; anyway, since a web-page cannot access the local filesystem, this page relies on public block-explorers for verification.
It should be obvious, but it is worth mentioning that timestamping (using the OpenTimestamps protocol or any alternative approach):


version 1.5 changes¶
This is a rolling bug/feature fix version.
1. Fix colour bar mislabelling¶
The colorbar can sometimes be mislabelled when using unusual manual labels.
cfp.levs(manual=[-1, 1, 10000, 20000, 30000, 40000, 50000, 60000]) will give the correct contour lines and labels but incorrect colorbar labels. The color bar labels will be 0, 2, 10001, 20001, 30001, 40001, 50001, 60001 and a +1 will appear next to the color bar label.
It looks like this is an intentional behaviour of the code for colorbar and is correct but not what is required. The cf-plot code was changed to substitute the correct colorbar labels for the ones that colorbar thinks it should use.
Fixed
2. Incorrect plot limits for multiple plots¶
A longitude-latitude plot followed by a latitude-pressure plot on the same page gives incorrect plot limits for the second plot.
Fixed
3. Bug in longitude wrapping¶
Non global data in longitude-latitude causes a crash in the longitude wrapping section
Fixed
4. Non-global longitude/latitude data is plotted on a global grid¶
The default cylindirical projection limits of -180 to 180 in longitude and -90 to 90 in latitude are used for all map plots. This needs changing to be the limits of the data in these cases.
Fixed
5. Automatic colour scales bug¶
Automatic colour scales are broken. Remove call to cscale() in gpos.
Fixed
6. Colorbar labels overwrite each other¶
Colour bar labels overwite each other when large number of contour levels are used or when more plot columns are used. Include code to take account of these based on the total number of characters in the contour labels and the number of columns. If the user hasn't supplied a value for colorbar_label_skip to the con routine then the calculated value is used. The labels used will start at the lowest for a continuous data set and from zero for a diverging one.
Fixed
7. Latitude vs log pressure plot axes cause an abort¶
Latitude vs log pressure plot axes cause an abort due to zero being used for the top of the atmosphere. Line of code inadvertently deleted but this is now back in place.
Fixed
8. A CF field list with one field is rejected by cf-plot before plotting¶
Code changed to check and pass the field for plotting.
Fixed
9. Added longitude height plots¶
Longitude-height plots were missing from cf_data_assign and from the contouring routine. These have now been added.
Fixed
10. Documentation change¶
The web and user guide documentation has chaged so that the examples reference data in cfplot_data. This is so the gallery examples work as written and to prevent multiple copies of the example data being on local disks.
Fixed
11. Reset command¶
A reset command was added to the code to reset all the graphics options in one step. Use cfp.reset().
Added to code
12: Internal work on axes command¶
A lot of internal work was done on the axes command to make it write the passed data into the plotvars array. The data from here then superceeds any automatically generated axis labels.
Added to code
13. Setvars command added¶
A new command called setvars was added to the code. This is used to set various common plotting options. Options are:
file=None - output file nametext_fontsize=None - text fontsize, default=11title_fontsize=None - title fontsize, default=15axis_label_fontsize=None - default=11text_fontweight='normal' - text fontweighttitle_fontweight='normal' - title fontweightaxis_label_fontweight='normal' - axis fontweightfontweight='normal' - all above fontweightscontinent_thickness=None - default=1.5continent_color=None - default='k' (black)Added to code
14. Reduced longitude grid not plotted correctly¶
A reduced longitude grid isn't plotted correctly due to a bug in the calculation of the lonrange variable.
Fixed


Programs
Music
Movies
Games
Other
Name
Type
Size
The Dot Game
Flash Game (.swf)
148 KB
Flow
Zipped Flash Game (.zip)
11.7 MB
Slayer
Application (.exe)
49.1 MB
Rubik's Cubes
Shockwave Flash Object (.swf)
1.04 MB


Portfolio - Projects
Accounting App
Listening to some good music
Using whitespace properly
Keeping in shape
Hello World, I am here
Marketing rocks!
Networking with awesome people
Creating mobile apps
Developing new web products
Origizing our files


Lecture the last
– adapted from Huckleberry Finn
"If we want to get our ideas into other people's brains, we need a new kind of literacy, a literacy of design."
– David Kadavy
What's the point?
What's the point?
Type should be invisible.
– Beatrice Warde
Good typography reinforces the meaning of the text. Type should not always be invisible, it should be appropriate.
– Mark Boulton
Anatomy
Activity
Draw letterforms and add labels
Activity
Activity
Activity
Activity
Activity
Font design
Uses the same design principles
Font design
Devenagari fonts are designed too
Font design
Devenagari fonts are designed too
Type and imagery
Using design principles
Type and imagery
Using design principles to match three features
Type and imagery
Closure and consistent stroke lines
Type and imagery
Handwritten, loopy feel
Type and imagery
Thick stroke, similar curves
Type and imagery
Use type to capture the essence of something
Consistent stroke, "hard" rock
Quiz!
Match the company names with their logos.
Quiz!
Match the company names with their logos.
Tips
- Readable at all scales
- Conveys the message
Individual activity: Logo font
Find a font to match the logo.
The company name is in the file name: NAME-description.jpg
You can only use fonts from www.fontsquirrel.com
Process
- 5 min: Analyze the logo's structure, form, and detail
- 10 min: Research 3 options for the logo font
- 5 min: Peer discussion
- 5 min: Use software to place the font on a black background underneath the logo
Review
- What design elements did you see in the logo?
- What design elements are consistent in the logo and font?
- Inconsistencies?
Humanist, old style
Emulates calligraphy
Contrasting strokes
Traditional and classical
Transitional
Sharper serif than humanist
More ontrasting strokes
Strong, stylish, dynamic
Modern
Thin, horizontal serif
High contrasting strokes
Structured, clear, sharp
Slab (Egyptian)
Heavy, boxy serif
Low contrasting strokes
Authoritative yet friendly, bold, assertive
Humanist
Emulates calligraphy
Contrasting strokes
Contemporary, humane
Transitional or Grotesque
Upright, uniform characters
Strong strokes
Unassuming, modern
Geometric
Geometric shapes
Uniform stroke
Strict, objective
Script
Script
Script
Quiz!
1. Modern sans
2. Script
3. Humanist sans
4. Geometric sans
Comic sans is ugly
– all designers
Does not use consistent design principles
Comic sans is not well designed.
Unbalanaced
Type conveys tone
What tone does this convey?
3-part activity
- Fotomango: Create a postcard-sized list of reviews for the photography company
- Bisonbegi: Create a postcard-sized restaurant menu
- Deadeye: Create a postcard-sized band tour dates schedule
3-part activity
Text will be given to you
- Part 1: Find a font to convey the most important message
- Part 2: Find a secondary font to convey the sub-dominant elements
- Part 3: Lay out the postcard using visual hierarchy
Part 1: Type matching
Find a font to convey the most important message in a list of text
Analyzing visual hierarchy
- Read the text
- Analyze the structure of the information. What are the repeating elements of the text? (e.g. title, date, price)
- Assign values (eg. 1-5) according to their importance.
- Brainstorm three types of tone you want to convey with your font choice
Part 1:Type matching
Finding a font
- Use Google Web Fonts to find 3 possible font choices for the most important element (#1) in the text.
- Peer discussion
- Choose one font. Put the most important element (#1) in the postcard.svg file with this font. (Don't worry about the placement or other text for now.)
- Also place your logo and logo font in the postcard (Again, placement and layout will happen in part 3).
- Pair discussion
Mixing fonts
Pleasing
...or disastrous
- Really easy: Use one font family.
- Easy: Find a serif and sans-serif within the same sub-classification.
- Less easy but makes for an interesting design: Find two very contrasting fonts.
 Seriously.
- Don’t change fonts mid-sentence.
Part 2: Pairing fonts
Find a font for information ranked #2 and lower and your hierarchy
- Select 3 different pairings with the font you selected in part 1. Try to use at least 2 different methods we discussed.
- Peer discussion
- Choose one font. Put the elements in the postcard.svg file with this font. (Don't worry about the placement or other text for now.)
- Pair discussion
Review
- What are the ways of mixing fonts?
- How do you find two contrasting fonts?
Line height
120% - 145% letter height
Margins
Don’t skimp on margins! Eye needs white space to follow text
Hierarchy
Size, color, spacing
- Things that are the same level in the hierarchy should look the same.
- Relate each new element to existing elements.
- Keep it simple.
- Use the white space.
Part 3: Layout
- Brainstorm 3 different ways to lay out the postcard. Remember to keep the visual hierarchy in tact.
- Peer discussion
- Pick 1 layout and compose in inkscape
- Pair discussion
- Additional refinements
Review!
- Matching type with images
- Matching type with other type
- Laying out a page


these photos are random pics which i have searched by typing random phoyos on google.these photos are random pics which i have searched by typing random phoyos on googlethese photos are random pics which i have searched by typing random phoyos on google,..


1.1Location : createClientKilled by : none Replaced integer addition with subtraction → SURVIVED
1.1Location : createClientKilled by : none mutated return of Object value for se/lnu/http/ClientFactory::createClient to ( if (x != null) null else throw new RuntimeException ) → TIMED_OUT


Test all patches before deploying them. Test each change for input validation, error handling, secure cryptographic storage, secure storage, secure communications, and proper role-based access control.
Testing helps ensure that patches do not introduce new vulnerabilities or break functionality.
Create a testing environment that simulates the environment where patches are to be applied. Install patches in the testing environment. Test each patch for validation of all input, error handling, secure cryptographic storage, secure communications, and proper role-based access control. Document the results of the tests. If the tests are successful, apply the patches in the production environment.


Waiting for provisioning server...
Please wait while the device is deployed to
Loading...
{{ template "footer.html" . }}


Grey Cup in Cowtown
by Rob GibsonThe Grey Cup has arrived in Calgary ahead of this weekend's championship game.
The Calgary Grey Cup Committee is a volunteer group dedicated to sharing the excitement surrounding the big game, each and every year with cities across Canada. This years game is in Calgary and the Grey Cup Festival presented by Shaw will feature the Winnipeg Blue Bombers and the Hamilton Tiger Cats.
The iconic emblem of Canadian football was piped into the Calgary Convention Centre Tuesday morning in preparation for Sunday's 107th Grey Cup game.


|
iota
1.0.0
Flexible, pipeline-based input handling.
|
Define high-level events for polling. More...
Static Public Attributes | |
| int | ALWAYS = 0 |
| ALWAYS run the pipeline, no matter what. More... | |
| int | CHANGED = 1 |
| Only run the pipeline when the input has CHANGED. More... | |
| int | PRESSED = 2 |
| Run the pipeline when a PRESSED action has been detected. More... | |
| int | RELEASED = 3 |
| The counterpart event to the PRESSED action. More... | |
| int | TAPPED = 4 |
| When the button/range input has been tapped, but not held sufficiently long enough to be considered a PRESSED event. More... | |
Define high-level events for polling.
This enum defines 5, higher-level event patterns that the poller can recognize. This includes ALWAYS
, CHANGED
, PRESSED
, RELEASED
, and TAPPED
. Passing anything other than these values in the second parameter of the Poller.on()
function will result in an error.
|
static |
|
static |
|
static |
|
static |
|
static |


Hello all!
Please don't close this because I'm about to say I've run into issues on a homework assignment! I'm close to having it finished, but I'm having difficulty with one specific area and I need a little prodding from experienced programmers to get me in the right direction!
That being said, part of the program is converting an arithmetic expression to post fix notation. That part was pretty easy. Another part is using the post fix notation to evaluate the expression. Seems easy enough, but this is where I'm running into my problem. We're doing stacks and queues and what I intended to do is strcat the popped characters (either numbers or operators) onto a variable (postFix) and then use that variable to use a stack to evaluate the expression. Here's the code:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82
|
#include <cstring>
using namespace std;
#include "QueueLinkedList.cpp"
#include "StackLinkedListTemplate.cpp"
const int MAX = 50;
void determinePostFixNotation(char* i, char* p);
int main()
{
char infix[MAX], postFix;
strcpy_s(infix, "(((5+2)*(6/4))-(4*1))");
cout << "The expression to be evaluated is: " << infix;
cout << endl;
cout << "The expression in postfix notation is: ";
determinePostFixNotation(infix, &postFix);
cout << endl;
return 0;
}
void determinePostFixNotation(char* infix, char* postFix)
{
try{
QueueLinkedList list;
StackLinkedlistTemplate<char> operands;
int size = strlen(infix);
for(int x=0;x<size;x++)
list.push(infix[x]);
int x=0;
do{
if(infix[x]=='(')
operands.push(list.pop());
else if(infix[x]==')')
{
list.pop();
char poppedCharacter;
poppedCharacter=operands.pop();
//strcat(&poppedCharacter, "\0");
//strcat_s(postFix, sizeof(postFix),&poppedCharacter);
if(poppedCharacter!='+' && poppedCharacter!='-' && poppedCharacter!='/' && poppedCharacter!='*')
{
cout << "Error: Too few operands in expression.\n" << endl;
exit(1);
}
cout << poppedCharacter << " ";
poppedCharacter=operands.pop();
if(poppedCharacter!='(')
{
cout << "Error: Unbalanced Parenthesis!\n" << endl;
exit(1);
}
}
else if(infix[x]=='+' || infix[x]=='-' || infix[x]=='*' || infix[x]=='/')
operands.push(list.pop());
else
cout << list.pop() << " ";
x++;
}while(x<size);
}
catch(QueueLinkedList::Empty)
{
cout << "\n\nException: Stack Empty" << endl;
}
cout << endl;
}
| |
I've commented out the strcats that cause the error. I was getting a conversion error (cannot convert from char to *char) then I realized that it was wanting a pointer. I tried to strcat a NULL terminator onto the poppedCharacter variable to fix the runtime problem, because I know the line of code causing the runtime error is
strcat_s(postFix, sizeof(postFix),&poppedCharacter);
.
If you need the stack and queue classes, let me know and I'll include those.
Now, please don't be too critical about my code. I am, after all, a student, but any help from an experienced programmer would be most appreciated :D


Space Invaders
Group project adapted from Space Invaders javascript tutorial using Node and JavaScript. Can you beat the high score?!
Repository Deployed App Source RepoTonelist
Group project to create a website to store your favorite bands and find info like tour dates, videos and similar artists.
Repository Deployed AppWeather Dashboard
This weather dashboard provides the current weather of any searched city worldwide including a 5-day forecast.
Repository Deployed AppEmployee Tracker
A CLI app for company admins that need to keep track of employee information. Uses Node and MySQL.
Repository DemoBurger Logger
An app for serious burger eaters. Also, use of MySQL, Node, Express, Handlebars and a homemade ORM deployed on Heroku.
Repository Deployed AppResponsive Portfolio
Look familiar? A responsive website using Bootstrap to provide more info about me, projects and contact info.
Repository Deployed AppWork Day Scheduler
This work day scheduler is intended to provide a basic workday scheduler that stores notes in local storage and updates the timeblocks based on time of day.
Repository Deployed AppPassword Generator
This password generator is intended to display javascript logic to generate a secure password.
Repository Deployed App


2 Chronicles 17:5
Therefore the LORD stablished the kingdom in his hand; and all Judah brought to Jehoshaphat presents; and he had riches and honor in abundance.


Writing with
BERT
Seed text:
Open World
Hotel Review
Select Algorithm
Left to Right
Random Hop
Auto Write


My main research line focuses on several aspects of Natural Language Processing. These aspects involve poetry, morphology and phonology. But I also collaborate in projects about semantics, multimodal analysis of language and second language acquisition. In what follows, you can see my list of publications and posters:


This tool requests some information about a patient and attempts to diagnose PTSD signs.
This is a computer science demonstration and will likely be inaccurate, only a professional can make a diagnosis. No information will be transmitted, all processing will take place on the local machine in active memory only and will be destroyed when closing this window.
Optionally pre-fill with a selection of sample answers:
[1] Rete based rules engine written in javascript, http://c2fo.github.io/nools. Retrieved August 2015
[2] Van der Kolk BA, Pelcovitz D, Roth S, et al. Dissociation, somatization, and affect dysregulation: the complexity of adaptation of trauma. Am J Psychiatry 1996; 153:83.
[3] Kessler RC, Rose S, Koenen KC, et al. How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? An exploratory study in the WHO World Mental Health Surveys. World Psychiatry 2014; 13:265.
[4] Jitender Sareen, MD, FRCPC, et al. Post-traumatic stress disorder in adults: Epidemiology, pathophysiology, clinical manifestations, course, and diagnosis. Dec 15, 2015.
[5] Lang, A.J., Stein, M.B. (2005) An abbreviated PTSD checklist for use as a screening instrument in primary care. Behaviour Research and Therapy, 43, 585-594


color(mode=RGB, range=1.0) # the default color mode and range color(range=255) # use 0-255 component values rather than 0–1 color(HSV) # color-related commands will expect HSV values
Update the graphics state's "current" color mode
color(r, g, b, a=1) # RGB mode color(h, s, v, a=1) # HSV mode color(c, m, y, k, a=1) # CMYK mode
Create a Color object using the current color mode
color(v, a=1)
Create a greyscale Color object (regardless of the current mode)
A number of plotdevice commands can take lists of numeric arguments to specify a color (see stroke(), fill(), background(), etc.). When called with keyword arguments alone, The color() command allows you to control how these numbers should be interpreted in subsequent color-modification commands.
By default, color commands interpret groups of 3 or more numbers as r/g/b triplets (with an optional, final alpha arg). If the mode
keyword arg is set to RGB
, HSV
, or CMYK
, subsequent color commands will interpret numerical arguments according to that colorspace instead.
The range
keyword arg sets the maximum value for color channels. By default this is 1.0, but 255 and 100 are also sensible choices.
For instance here are three equivalent ways of setting the fill color to ‘blue’:
color(mode=HSV) fill(.666, 1.0, .76) color(mode=RGB, range=255) fill(0, 0, 190) color(mode=CMYK, range=100) fill(95, 89, 0, 0)
Color mode & range changes can be constrained to a block of code using the with
statement. e.g.,
background(.5, .5, .6) # interpteted as r/g/b (the default) with color(mode=CMYK): # temporarily change the mode: stroke(1, 0, 0, 0) # - interpteted as c/m/y/k fill(1, 0, 0) # outside the block, the mode is restored to r/g/b
When called with a sequence of color-channel values, color() will return a reusable Color
object. These can be passed to color-related commands in lieu of numeric args. For example:
red = color(1, 0, 0) # r/g/b glossy_black = color(15, 15, 15, 0.25) # r/g/b/a background(red) fill(glossy_black)
You can also prefix the numeric args with a color mode as a convenience for setting one-off colors in a mode different from the current colorspace:
color(mode=HSV) # set mode to h/s/b hsb_color = color(.7, 1, .8) # uses current mode (h/s/b) cmyk_color = color(CMYK, 0, .7, .9, 0) # interpreted as c/m/y/k still_hsb = color(1, .5, .25) # uses current mode (h/s/b)
Greyscale colors can be created regardless of the current mode by passing only one or two values (for the brightness and alpha respectively):
fill(1, .75) # translucent white stroke(0) # opaque black
If you pass a string to a color command, it must either be a hex-string (beginning with a #
) or a valid CSS color-name. The string can be followed by an optional alpha argument:
background('#f00') # blindingly red fill('#74e9ff', 0.4) # translucent pale blue stroke('chartreuse') # electric bile


JS101
ISSoft company invites you to a javascript introduction course. What to expectThis course will teach what the most fundamental programming concepts are and how to use them. You'll learn about data types, functions, loops, control flow, and objects. In the end, you'll get a chance to put everything together to build your own game! Why JavascriptJavaScript is the programming language of the web. It's one of the most popular and in demand skills in today's job market for good reason. JavaScript not only enables you to add powerful interactions to websites, but is also the foundation of a lot of commonly used libraries (like jQuery) and frameworks (like AngularJS, ReactJS and NodeJS). As a web developer, it is essential that you have a solid understanding of this versatile language. Topics
Schedule
|


scikits.learn.neighbors working notes¶
barycenter¶
Function barycenter() tries to find appropriate weights to reconstruct the point x from a subset (y1, y2, ..., yn), where weights sum to one.
This is just a simple case of Equality Constrained Least Squares [1] with constrain dot(np.ones(n), x) = 1. In particular, the Q matrix from the QR decomposition of B is the Householder reflection of np.ones(n).
Purpose¶
This method was added to ease some computations in the future manifold module, namely in LLE. However, it is still to be shown that it is useful and efficient in that context.
Performance¶
The algorithm has to iterate over n_samples, which is the main bottleneck. It would be great to vectorize this loop. Also, the rank updates could probably be moved outside the loop.
Also, least squares solution could be computed more efficiently by a QR factorization, since probably we don’t care about a minimum norm solution for the undertermined case.
The paper ‘An introduction to Locally Linear Embeddings’, Saul & Roweis solves the problem by the normal equation method over the covariance matrix. However, it does not degrade grathefully when the covariance is singular, requiring to explicitly add regularization.
Stability¶
Should be good as it uses SVD to solve the LS problem. TODO: explicit bounds.
API¶
The API is convenient to use from NeighborsBarycenter and kneighbors_graph, but might not be very easy to use directly due to the fact that Y must be a 3-D array.
It should be checked that it is usable in other contexts.
Footnotes
| [1] | Section 12.1.4 (‘Equality Constrained Least Squares’), ‘Matrix Computations’ by Golub & Van Loan |


You are approached by a business developer to get advice on where to build a new store in Phoenix, AZ. There are currently six candidates. Use the Yelp dataset and come up with your own scoring scheme to identify the best location to recommend.
As a team, choose one of the following business types to work on:
For this hackathon, you will use a scoring method that is based on a series of 20 Yes/No questions that can be applied to each candidate location. The candidate location that has the most number of Yes’s is the most viable location.
Each Yes/No question generally should take on the form of
Does the location have X nearby?
where X is a feature that you think would be useful for the business to be viable.
Two examples of such questions are:
Implement scoring functions and visualize how these candidate locations are scored. The skeleton code is provided for you in report.html.
Each person must implement at least two questions to receive credits for this hackathon.
Our team chose to analyze candidate locations for a new 24-hours diner
The team members who contributed to this hackathon are:
Our team came up with the following relevant questions:
Any other diners with 24 hours ?
(one sentence justification why this question is important)
Is there any restaurants with 3 stars or less ? (fadhil suhendi)
(one sentence justification why this question is important)
Are there any clubs within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any bars within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any music venue within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any movie theaters within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any three stars or less establishment within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any low price range (1) restaurants within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any thrift shops within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any college/universities within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Any other dive bars and no wine bars within 2 km?
(one sentence justification why this question is important)
Any other hospitals within 2 km ? (fadhil suhendi)
(one sentence justification why this question is important)
Are there any hotels within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any retirement homes within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any trendy/upscale establishment within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Are there any establishment that serve alcohol within 2 kilometers ? contributed by (Name)
(one sentence justification why this question is important)
Is there any restaurants with 3 stars or less within 2 kilometers ? contributed by (Fadhil Suhendi)
You don’t want highly-rated competition nearby.
Are there any dry/cleaning or laundry businesses within 2 kilometers ? contributed by (Fadhil Suhendi)
When people do their laundry late at night, they may get hungry
Are there any religious organization within 2 kilometers ? contributed by (fadhil suhendi)
There are many people who have late night prayer
Are there any libraries within 2 kilometers ? contributed by (fadhil suhendi) Some people might get hungry after studying
Our team collectively has implemented (N) scoring functions. Based on the scores, our team recommends location (1, 2, 3, 4, 5, or 6 from west to east), because it receives (m) out of (N) possible scores.
| Question | Site 1 | Site 2 | Site 3 | Site 4 | Site 5 | Site 6 |
|---|---|---|---|---|---|---|
| Q1 | yes | yes | no | no | no | no |
| Q2 | no | no | no | yes | yes | yes |
| Q3 | no | no | yes | yes | yes | yes |
| Q4 | no | no | yes | yes | yes | yes |
| Q5 | no | no | no | no | no | no |
| Q6 | no | no | no | no | no | no |
| Q7 | no | no | no | no | no | no |
| Q8 | no | no | no | no | no | no |
| Q9 | no | no | no | no | no | no |
| Q10 | no | no | no | no | no | no |
| Q11 | no | no | no | no | no | no |
| Q12 | no | no | no | no | no | no |
| Q13 | no | no | no | no | no | no |
| Q14 | no | no | no | no | no | no |
| Q15 | no | no | no | no | no | no |
| Q16 | no | no | no | no | no | no |
| Q17 | yes | yes | yes | no | no | no |
| Q18 | yes | yes | yes | no | no | yes |
| Q19 | yes | yes | yes | yes | no | yes |
| Q20 | yes | yes | yes | yes | yes | yes |
| TOTALS | 5 | 5 | 6 | 5 | 4 | 6 |


---
title: CS-Group Payload & Data department
layout: layout-default
bodyClass: page-home
---
SPACE Operations and Intelligence
Among the Top 5 European players in space computing, CS GROUP is active in end-to-end mode, in all business lines and throughout the life cycle of systems: upstream studies, operations and intelligence in data enhancement, with one key word: innovation.
The trusted engineering, systems and information technologies partner for Space missions
For more than 40 years, {{site.data.str.cs}} has been successfully providing turnkey systems and engineering services for the space and applications markets. With a workforce of 480 engineers combining advanced and unique skills in both information technology and space data engineering, {{site.data.str.cs}} is a major and trusted long-term partner of space and defence agencies, satellite prime contractors and operators, and users of space data.
Read more...
Our references
{% assign activities = site.features | where:"type","reference" %}
{% for feature in activities %}


Menu
Comic Gallery
My works of Comic Art and Illustrations done through my time in college.
Contact
Home
Website
Comics
Illustrations
Graphic Design
Contact


{% extends "base.html" %} {% block title %}Share a post{% endblock %} {% block content %} {% if sent %} {% with post.title|add:" was successfully sent to "|add:form.cleaned_data.to|add:"." as msg %} {% include "includes/components/alert.html" with type="success" title="Success" message="Email sucessfully sent "|add:msg %} {% endwith %} {% else %}


--- layout: page title: "Publications" description: "This is what I have done." image: "img/publication-bg.jpg" --- {% for paper in site.data.publications %}
{{ paper.description }}
{% if paper.image %} {% endif %} {% if paper.reference %} {% endif %}


# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import torch
try:
from torchvision.transforms import ColorJitter
from torchvision.transforms import functional as torch_functional
torchvision_import_error = None
except Exception as torchvision_error:
ColorJitter = None
torch_functional = None
torchvision_import_error = torchvision_error
try:
from torchvision.datasets import CocoDetection
import pycocotools
except Exception:
CocoDetection = object
pycocotools = None
import urllib.request as request
import zipfile
from sparseml.pytorch.datasets.detection.helpers import (
AnnotatedImageTransforms,
bounding_box_and_labels_to_yolo_fmt,
random_horizontal_flip_image_and_annotations,
ssd_random_crop_image_and_annotations,
)
from sparseml.pytorch.datasets.registry import DatasetRegistry
from sparseml.pytorch.utils import DefaultBoxes, get_default_boxes_300
from sparseml.utils.datasets import (
IMAGENET_RGB_MEANS,
IMAGENET_RGB_STDS,
default_dataset_path,
)
__all__ = [
"CocoDetectionDataset",
"coco_2017_yolo",
"COCO_CLASSES",
"COCO_CLASSES_80",
]
COCO_IMAGE_ZIP_ROOT = "http://images.cocodataset.org/zips"
COCO_ANNOTATION_ZIP_ROOT = "http://images.cocodataset.org/annotations"
<EMAIL_ADDRESS>key=["coco_detection", "coco"],
attributes={
"transform_means": IMAGENET_RGB_MEANS,
"transform_stds": IMAGENET_RGB_STDS,
"num_classes": 91,
},
)
class CocoDetectionDataset(CocoDetection):
"""
Wrapper for the Coco Detection dataset to apply standard transforms
for input to detection models. Will return the processed image along
with a tuple of its bounding boxes in ltrb format and labels for each box.
If a DefaultBoxes object is provided, then will encode the box and labels
using that object returning a tensor of offsets to the default boxes and
labels for those boxes and return a three item tuple of the encoded boxes,
labels, and their original values.
:param root: The root folder to find the dataset at, if not found will
download here if download=True
:param train: True if this is for the training distribution,
False for the validation
:param rand_trans: True to apply RandomCrop and RandomHorizontalFlip to the data,
False otherwise
:param download: True to download the dataset, False otherwise.
:param year: The dataset year, supports years 2014, 2015, and 2017.
:param image_size: the size of the image to output from the dataset
:param preprocessing_type: Type of standard pre-processing to perform.
Options are 'yolo', 'ssd', or None. None defaults to just image normalization
with no extra processing of bounding boxes.
:param default_boxes: DefaultBoxes object used to encode bounding boxes and label
for model loss computation for SSD models. Only used when preprocessing_type=
'ssd'. Default object represents the default boxes used in standard SSD 300
implementation.
"""
def __init__(
self,
root: str = default_dataset_path("coco-detection"),
train: bool = False,
rand_trans: bool = False,
download: bool = True,
year: str = "2017",
image_size: int = 300,
preprocessing_type: str = None,
default_boxes: DefaultBoxes = None,
):
if torchvision_import_error is not None:
raise torchvision_import_error
if pycocotools is None:
raise ValueError("pycocotools is not installed, please install to use")
if preprocessing_type not in [None, "yolo", "ssd"]:
raise ValueError(
"preprocessing type {} not supported, valid values are: {}".format(
preprocessing_type, [None, "yolo", "ssd"]
)
)
root = os.path.join(os.path.abspath(os.path.expanduser(root)), str(year))
if train:
data_path = "{root}/train{year}".format(root=root, year=year)
annotation_path = "{root}/annotations/instances_train{year}.json".format(
root=root, year=year
)
else:
data_path = "{root}/val{year}".format(root=root, year=year)
annotation_path = "{root}/annotations/instances_val{year}.json".format(
root=root, year=year
)
if not os.path.isdir(data_path) and download:
dataset_type = "train" if train else "val"
zip_url = "{COCO_IMAGE_ZIP_ROOT}/{dataset_type}{year}.zip".format(
COCO_IMAGE_ZIP_ROOT=COCO_IMAGE_ZIP_ROOT,
dataset_type=dataset_type,
year=year,
)
zip_path = os.path.join(root, "images.zip")
annotation_url = (
"{COCO_ANNOTATION_ZIP_ROOT}/annotations_trainval{year}.zip".format(
COCO_ANNOTATION_ZIP_ROOT=COCO_ANNOTATION_ZIP_ROOT, year=year
)
)
annotation_zip_path = os.path.join(root, "annotation.zip")
os.makedirs(root, exist_ok=True)
print("Downloading coco dataset")
print("Downloading image files...")
request.urlretrieve(zip_url, zip_path)
print("Unzipping image files...")
with zipfile.ZipFile(zip_path, "r") as zip_ref:
zip_ref.extractall(root)
print("Downloading annotations files...")
request.urlretrieve(annotation_url, annotation_zip_path)
print("Unzipping annotation files...")
with zipfile.ZipFile(annotation_zip_path, "r") as zip_ref:
zip_ref.extractall(root)
elif not os.path.isdir(root):
raise ValueError(
f"Coco Dataset Path {root} does not exist. Please download dataset."
)
yolo_preprocess = preprocessing_type == "yolo"
trans = [
# process annotations
lambda img, ann: (
img,
_extract_bounding_box_and_labels(img, ann, yolo_preprocess),
),
]
if rand_trans:
# add random crop, flip, and jitter to pipeline
jitter_fn = ColorJitter(
brightness=0.125, contrast=0.5, saturation=0.5, hue=0.05
)
trans.extend(
[
# Random cropping as implemented in SSD paper
ssd_random_crop_image_and_annotations,
# random horizontal flip
random_horizontal_flip_image_and_annotations,
# image color jitter
lambda img, ann: (jitter_fn(img), ann),
]
)
trans.extend(
[
# resize image
lambda img, ann: (
torch_functional.resize(img, (image_size, image_size)),
ann,
),
# Convert image to tensor
lambda img, ann: (torch_functional.to_tensor(img), ann),
]
)
# Normalize image except for yolo preprocessing
if not yolo_preprocess:
trans.append(
lambda img, ann: (
torch_functional.normalize(
img, IMAGENET_RGB_MEANS, IMAGENET_RGB_STDS
),
ann,
)
)
if preprocessing_type == "ssd":
default_boxes = default_boxes or get_default_boxes_300()
# encode the bounding boxes and labels with the default boxes
trans.append(
lambda img, ann: (
img,
(
*default_boxes.encode_image_box_labels(*ann),
ann,
), # encoded_boxes, encoded_labels, original_annotations
)
)
elif yolo_preprocess:
trans.append(
lambda img, ann: (
img,
(bounding_box_and_labels_to_yolo_fmt(ann), ann),
)
)
super().__init__(
root=data_path,
annFile=annotation_path,
transforms=AnnotatedImageTransforms(trans),
)
self._default_boxes = default_boxes
@property
def default_boxes(self) -> DefaultBoxes:
"""
:return: The DefaultBoxes object used to encode this datasets bounding boxes
"""
return self._default_boxes
<EMAIL_ADDRESS>key=["coco_2017_yolo", "coco_detection_yolo", "coco_yolo"],
attributes={
"transform_means": IMAGENET_RGB_MEANS,
"transform_stds": IMAGENET_RGB_STDS,
"num_classes": 80,
},
)
def coco_2017_yolo(
root: str = default_dataset_path("coco-detection"),
train: bool = False,
rand_trans: bool = False,
download: bool = True,
year: str = "2017",
image_size: int = 640,
preprocessing_type: str = "yolo",
):
"""
Wrapper for COCO detection dataset with Dataset Registry values properly
created for a Yolo model trained on 80 classes.
:param root: The root folder to find the dataset at, if not found will
download here if download=True
:param train: True if this is for the training distribution,
False for the validation
:param rand_trans: True to apply RandomCrop and RandomHorizontalFlip to the data,
False otherwise
:param download: True to download the dataset, False otherwise.
:param year: Only valid option is 2017. default is 2017.
:param image_size: the size of the image to output from the dataset
:param preprocessing_type: Type of standard pre-processing to perform.
Only valid option is 'yolo'. Default is 'yolo'
"""
if preprocessing_type != "yolo":
raise ValueError(
"Only valid preprocessing type for Coco 2017 Yolo dataset is 'yolo'"
" received: {}".foramt(preprocessing_type)
)
if int(year) != 2017:
raise ValueError(
"Only valid year type for Coco 2017 Yolo dataset is 2017"
" received: {}".foramt(year)
)
return CocoDetectionDataset(
root, train, rand_trans, download, year, image_size, "yolo"
)
def _extract_bounding_box_and_labels(image, annotations, yolo_preprocess=False):
# returns bounding boxes in ltrb format scaled to [0, 1] and labels
boxes = []
labels = []
for annotation in annotations:
class_id = int(annotation["category_id"])
if yolo_preprocess:
if class_id in _COCO_CLASSES_90_to_80:
class_id = _COCO_CLASSES_90_to_80[class_id]
else:
continue
boxes.append(annotation["bbox"])
labels.append(class_id)
boxes = torch.FloatTensor(boxes)
labels = torch.Tensor(labels).long()
if boxes.numel() == 0:
return boxes, labels
# convert boxes from ltwh to ltrb
boxes[:, 2] = boxes[:, 0] + boxes[:, 2] # r = l + w
boxes[:, 3] = boxes[:, 1] + boxes[:, 3] # b = t + h
# scale boxes to [0, 1]
boxes[:, [0, 2]] /= image.width # scale width dimensions
boxes[:, [1, 3]] /= image.height # scale height dimensions
return boxes, labels
# map object ids to class name for post processing
COCO_CLASSES = {
1: "person",
2: "bicycle",
3: "car",
4: "motorcycle",
5: "airplane",
6: "bus",
7: "train",
8: "truck",
9: "boat",
10: "traffic light",
11: "fire hydrant",
12: "street sign",
13: "stop sign",
14: "parking meter",
15: "bench",
16: "bird",
17: "cat",
18: "dog",
19: "horse",
20: "sheep",
21: "cow",
22: "elephant",
23: "bear",
24: "zebra",
25: "giraffe",
27: "backpack",
28: "umbrella",
31: "handbag",
32: "tie",
33: "suitcase",
34: "frisbee",
35: "skis",
36: "snowboard",
37: "sports ball",
38: "kite",
39: "baseball bat",
40: "baseball glove",
41: "skateboard",
42: "surfboard",
43: "tennis racket",
44: "bottle",
46: "wine glass",
47: "cup",
48: "fork",
49: "knife",
50: "spoon",
51: "bowl",
52: "banana",
53: "apple",
54: "sandwich",
55: "orange",
56: "broccoli",
57: "carrot",
58: "hot dog",
59: "pizza",
60: "donut",
61: "cake",
62: "chair",
63: "couch",
64: "potted plant",
65: "bed",
67: "dining table",
70: "toilet",
72: "tv",
73: "laptop",
74: "mouse",
75: "remote",
76: "keyboard",
77: "cell phone",
78: "microwave",
79: "oven",
80: "toaster",
81: "sink",
82: "refrigerator",
84: "book",
85: "clock",
86: "vase",
87: "scissors",
88: "teddy bear",
89: "hair drier",
90: "toothbrush",
91: "hair brush",
}
# map object ids to class names for 80 class COCO
COCO_CLASSES_80 = {
"person": 0,
"bicycle": 1,
"car": 2,
"motorbike": 3,
"aeroplane": 4,
"bus": 5,
"train": 6,
"truck": 7,
"boat": 8,
"traffic light": 9,
"fire hydrant": 10,
"stop sign": 11,
"parking meter": 12,
"bench": 13,
"bird": 14,
"cat": 15,
"dog": 16,
"horse": 17,
"sheep": 18,
"cow": 19,
"elephant": 20,
"bear": 21,
"zebra": 22,
"giraffe": 23,
"backpack": 24,
"umbrella": 25,
"handbag": 26,
"tie": 27,
"suitcase": 28,
"frisbee": 29,
"skis": 30,
"snowboard": 31,
"sports ball": 32,
"kite": 33,
"baseball bat": 34,
"baseball glove": 35,
"skateboard": 36,
"surfboard": 37,
"tennis racket": 38,
"bottle": 39,
"wine glass": 40,
"cup": 41,
"fork": 42,
"knife": 43,
"spoon": 44,
"bowl": 45,
"banana": 46,
"apple": 47,
"sandwich": 48,
"orange": 49,
"broccoli": 50,
"carrot": 51,
"hot dog": 52,
"pizza": 53,
"donut": 54,
"cake": 55,
"chair": 56,
"sofa": 57,
"pottedplant": 58,
"bed": 59,
"diningtable": 60,
"toilet": 61,
"tvmonitor": 62,
"laptop": 63,
"mouse": 64,
"remote": 65,
"keyboard": 66,
"cell phone": 67,
"microwave": 68,
"oven": 69,
"toaster": 70,
"sink": 71,
"refrigerator": 72,
"book": 73,
"clock": 74,
"vase": 75,
"scissors": 76,
"teddy bear": 77,
"hair drier": 78,
"toothbrush": 79,
}
# map class ids from 90 class COCO to 80 class COCO
_COCO_CLASSES_90_to_80 = {
1: 0,
2: 1,
3: 2,
4: 3,
5: 4,
6: 5,
7: 6,
8: 7,
9: 8,
10: 9,
11: 10,
13: 11,
14: 12,
15: 13,
16: 14,
17: 15,
18: 16,
19: 17,
20: 18,
21: 19,
22: 20,
23: 21,
24: 22,
25: 23,
27: 24,
28: 25,
31: 26,
32: 27,
33: 28,
34: 29,
35: 30,
36: 31,
37: 32,
38: 33,
39: 34,
40: 35,
41: 36,
42: 37,
43: 38,
44: 39,
46: 40,
47: 41,
48: 42,
49: 43,
50: 44,
51: 45,
52: 46,
53: 47,
54: 48,
55: 49,
56: 50,
57: 51,
58: 52,
59: 53,
60: 54,
61: 55,
62: 56,
63: 57,
64: 58,
65: 59,
67: 60,
70: 61,
72: 62,
73: 63,
74: 64,
75: 65,
76: 66,
77: 67,
78: 68,
79: 69,
80: 70,
81: 71,
82: 72,
84: 73,
85: 74,
86: 75,
87: 76,
88: 77,
89: 78,
90: 79,
}


| Total net profit | -130.43 | Gross profit | 1.12 | Gross loss | -131.55 |
| Profit factor | 0.01 | Expected payoff | -1.61 | ||
| Absolute drawdown | -130.43 | Maximal drawdown (%) | 127.03 (-3736.18%) | ||
| Total trades | 81 | Profit trades (% of total) | 4 (4.94%) | Loss trades (% of total) | 77 (95.06%) |
| Long positions (won %) | 55 (5.45%) | Short positions (won %) | 26 (3.85%) | ||
| Largest | profit trade | 0.8 | loss trade | -8.95 | |
| Average | profit trade | 0.28 | loss trade | -1.71 | |
| Minimum | profit trade | 0.0 | loss trade | -0.15 | |
| Maximum | take profit in pips | 82.4 | stop loss in pips | -348.4 | |
| Average | take profit in pips | -4.7 | stop loss in pips | -103.9 | |
| Minimum | take profit in pips | -152.2 | stop loss in pips | -21.9 | |
| Maximum | Reward-Risk | 2.6 | Duration in minutes | 5345 | |
| Average | Reward-Risk | 0.4 | Duration in minutes | 191.6 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.8) | consecutive losses (loss in money) | 27.0 (-58.51) | |
| Average | consecutive wins | 1.0 | consecutive losses | 13.0 |
| Total net profit | -82.61 | Gross profit | 1.08 | Gross loss | -83.69 |
| Profit factor | 0.01 | Expected payoff | -1.5 | ||
| Absolute drawdown | -82.61 | Maximal drawdown (%) | 79.21 (-2329.71%) | ||
| Total trades | 55 | Profit trades (% of total) | 3 (5.45%) | Loss trades (% of total) | 52 (96.36%) |
| Largest | profit trade | 0.8 | loss trade | -5.78 | |
| Average | profit trade | 0.36 | loss trade | -1.61 | |
| Minimum | profit trade | 0.0 | loss trade | -0.18 | |
| Maximum | take profit in pips | 75.9 | stop loss in pips | -348.4 | |
| Average | take profit in pips | -22.2 | stop loss in pips | -118.2 | |
| Minimum | take profit in pips | -152.2 | stop loss in pips | -40.6 | |
| Maximum | Reward-Risk | 1.9 | Duration in minutes | 1290.0 | |
| Average | Reward-Risk | 0.2 | Duration in minutes | 161.0 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.8) | consecutive losses (loss in money) | 34.0 (-56.05) | |
| Average | consecutive wins | 1.0 | consecutive losses | 6.0 |
| Total net profit | -47.82 | Gross profit | 0.04 | Gross loss | -47.86 |
| Profit factor | 0.0 | Expected payoff | -1.84 | ||
| Absolute drawdown | -47.82 | Maximal drawdown (%) | 44.4 (-1298.25%) | ||
| Total trades | 26 | Profit trades (% of total) | 1 (3.85%) | Loss trades (% of total) | 25 (96.15%) |
| Largest | profit trade | 0.04 | loss trade | -8.95 | |
| Average | profit trade | 0.04 | loss trade | -1.91 | |
| Minimum | profit trade | 0.04 | loss trade | -0.15 | |
| Maximum | take profit in pips | 82.4 | stop loss in pips | -343.3 | |
| Average | take profit in pips | 32.2 | stop loss in pips | -73.5 | |
| Minimum | take profit in pips | -32.8 | stop loss in pips | -21.9 | |
| Maximum | Reward-Risk | 2.6 | Duration in minutes | 5345.0 | |
| Average | Reward-Risk | 0.9 | Duration in minutes | 256.2 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 1.0 (0.04) | consecutive losses (loss in money) | 19.0 (-40.29) | |
| Average | consecutive wins | 1.0 | consecutive losses | 19.0 |


Reflection Blog
- What's your take on the DBC/EDA experience
- What are your impressions?
- How do you see yourself engaging with this type of culture?
- Have your expectations of EDA changed? If so, how?
- Are you excited to participate in this kind of learning environment? Does it make you nervous?
I haven't done a course like this before. I have zero experience in this area so learning in a way where you have to seek solutions by many different means is both challenging and rewarding.
Exciting, different, progressive.
I'm very open minded and willing to learn so I think it will be beneficial to all parties hopefully.
I guess it's still early days so I'm not really sure. Ask me again in a few weeks !
I always get nervous but I like to think that makes me thrive. I am excited but just hope I can keep up !


Missing Glasgow woman Elaine McAlonan found safe and well
Elaine McAlonan had last been seen at around 11am on Sunday, 27 October on Maryhill Road in Glasgow.
by Tim McNultyA woman who was reported missing from her Glasgow home has been found .
Elaine McAlonan had last been seen at around 11am on Sunday, 27 October on Maryhill Road close to its junction with Kelvindale Road.
Police confirmed the 42-year-old has been found safe and well.
A Police Scotland spokesperson said: "Thank you to everyone who shared or otherwise assisted with earlier appeals for information."


Responsive product showcase
Below you can see an example of a responsive list.
+
Item title
+
Item title
+
Item title
+
Item title
+
Item title


Sort The Results
Year
Ascending
Descending
None
Filter the results
AND
OR
Refining Field:
Genre
Year
Refining Value:
Refining Field:
Genre
Year
Refining Value:
[
TO
]
Search
Facets
Year
From
To
,
Gap
Genre
Year


Demo
This is a demo.
Click the menu icon to open the menu.
Home
About us
History
The team
Our address
Contact


Pixie | |
| Description | Pixies are playful fairy-kin, standing roughly two feet tall. These pranksters rarely venture into society, but sometimes enjoy pranking villagers near their woodland habitats. Pixies have transparent butterfly wings and the innate ability to remain invisible as long as they wish. Pixies are vegetarians and eating meat can make them violently ill. |
| Stat Adjustments | strength-6, dexterity+7, constitution-7, charisma+2, save vs poison+10, save vs magic+50, max strength adj.-6, max dexterity adj.+7, max constitution adj.-7, max charisma adj.+2 |
| Bonus Abilities | infravision, Winged Flight(100%), Foraging(50%), Improved Invisibility(100%) |
| Bonus Languages | Fey(100%) |
| Life expectancy | 430 years |
| Starting Equipment | a delicate green shirt, a pair of sandals, some delicate leggings, a knitted weapon belt |
| Qualifying Classes | Abjurer Alterer Apprentice Artisan Assassin Barbarian Burglar Cleric Conjurer Diviner Doomsayer Enchanter Evoker Fighter Gaoler Healer Illusionist Mage Minstrel Missionary Necromancer Oracle Pirate Purist Reliquist Sailor Scholar Shaman Templar Thief Transmuter Trapper |


| Name: BABY.RICIELLE LAWRENCE | Reg No: 1-10SMHC17 |
|---|---|
| Age / Sex: 6/F | Contact No: |
| Marital Status: | Date:2/10/17 |
| Occupation:1ST STD | Dr. |
| Address:D/O SOPHIA LAWRENCE. | DIAGNOSIS- |
FREQ FEVER COLD AND COUGH SINCE 6 MONTHS AFTER PUTTING HER TO SCHOOL.
CRIES TO GO TO SCHOL FRM AUGUST. I WANT AMMA. CALL HER FRM SCHOOL ALSO. DNT WANT TO EAT. NOT PUTTING ON WEIGHT. IF NO BOX SHE WILL GO TO SCHOOL.
LIKES CHOCOLATE ONLY DAIRY MILK. TEACHER TOLD NOT GOOD FR HEALTH SO SHE S CONCIOUS. FUSSY.
DOESN’T LIKE BLACK. KEEPS CRYING WHEN SEES BLACK. MUST REMOVE MUSTRD ALSO.
EGG DOESN’T LIKE YELLOW.
LIKES MILK. NON VEG DOESN LIKE YUCKY
DOESN’T LIKE GHEE. HONEY
WANTS TO BE THIN AN BECME BARBIE DOLL. DOESN’T WANT TO BECOME FAT SO SHE WONT EAT.
WILL BITE CLOTHS NAILS. AFTER NEW SCHOOL.
RX:
CALC PHOS 200 – 5 DOSES – WATER.
SIL 6X.
TUB 1M- 1 DOSE.


{{p.description}}
{{w}}
Project name can't be modified later.
Number of selection phases
Number of workshops
First Preference {{selectedProject.workshopNaming}}
Second Preference {{selectedProject.workshopNaming}}
Please enter valid preferences
Please update your academic year


Samantha McCall
about
portfolio
blog
content
contact
(current)
Contact Me
Name
Email
Message
Connect With Me
Choose a post
August
8-13 • My Never-Ending (Coding) Story
8-3 • Life, Death, & the Bamboo Tree
July
8-13 • My Never-Ending (Coding) Story
8-3 • Life, Death, & the Bamboo Tree
8-13 • My Never-Ending (Coding) Story
June
8-13 • My Never-Ending (Coding) Story
8-3 • Life, Death, & the Bamboo Tree
May
8-13 • My Never-Ending (Coding) Story
8-3 • Life, Death, & the Bamboo Tree


yoshisteam's products
HOW TO CONVERT AND IMPORT COOCKIES
BANK TRANSFER 100% SUCCESS RATE
HOW TO APPLY FOR UNEMPLOYMENT ASSISTANCE...

STARTER GUIDE TO THE CARDING GALAXY
CARDING / FRAUD SETUP MENTOR
lookup credit report
BANKING ACCOUNT HOW USE EM
deepdotweb dictionary
PENTESTER ACADEMY 22 COURSES FULL VIDEOS...
UK BANK TRANSFER TUTORIALS STEP BY STEP
discussion opsec .TXT by best minded sec...
bank chase account online balance mediu...
HOW TO DO INTERNATIONAL WIRE TRANSFER
firefox profile anonymous
MEGA CARDING PACK
CCLEANERPRO CRACKED
HOW TO APPLY FOR USA LOANS


Cornell Hacking Club
Google is sponsoring us. We're in talks with another company
Green Hills software is hosting a tech talk "Cyber Weapons of Mass Destruction on a Shoestring Budget"
We're getting stickers. 2 inch, round vinyl stickers.
T-shirts? Soft ones.
We will be keeping weekly meetings at 5 on Tuesdays.
Unless someone has an issue and we agree on an alternative.
We need projects to work on. Any ideas?
Educational presentations? Writeups?
I'd like to plan another workshop, to help with recruitment.
Segue!
If you didn't give Evan these, please DM me on Slack.
I'll also update pictures with newer ones.
Don't make me find embarassing photos on Facebook for the website.


Jack Zampolin
This will contain a story about myself I have yet to write. It is in a container after all. I hope it has dragons in it. Actually no. Just really good food. This is a site I am building up slowly as a project for Dev Bootcamp. Right now it is solely HTML/CSS. More responsive elements and features will be added as I learn more. I hope you like it! Poke around and shoot me an email if you have any questions.


Api Documentation¶
Contents
Sheet¶
The Sheet is the container holding the information, that is then accessed by one of the renderers. A sheet also represents an output directory in which caches and generated files are stored
-
class
datasheet.sheet.
Sheet
(outdir: str)[source]¶ Main class of the library
- Parameters
outdir (str) – The output directory, in which all files are stored.
- Variables
type_wrap_map (dict) – Defines the mapping from input types to
ElementInterface
s. It is not possible to use tuple as key, as that will be ignored, because it is required for the special treatment theMultiCell
Interface needs
-
__lshift__
(obj: Any)[source]¶ Object adding operator, automatically wraps passed objects into fitting type wrappers according to Sheet.type_wrap_map
-
add_current_figure
(clear: bool = True, **fig_args)[source]¶ Convinienve method to add the current figure, and optionally clear it afterwards.
- Parameters
clear (bool) – whether or not to clear the figue
fig_args – forwarded to
Figure
-
cache
(func, **cache_args) → joblib.memory.MemorizedFunc[source]¶ Datasheet automatically creates a joblib.Memory object, with the outdir as cache dir, to have easy access to persistent caching. This method exposes the memory-object’s cache() method.
-
gate_cache
(func, recompute, key=None)[source]¶ Wraps a function. The returned function will execute the wrapped function and store the results, if it does not find a saved result already. If recompute is True the wrapped function will also be executed if a saved result is found. If a stored result is found, and recompute is False the wrapped function will always return the stored result, independent of the calling parameters, or whether the source code of the cached function changed.
the key parameter determines the save file. By default the name of the wrapped function is used. In case of wanting to save multiple results for one function, it can be wrapped multiple times with different keys
Types¶
Every object that is added to a Sheet is wrapped in a Type-Object, which is derived
from ElementInterface
. These classes purpose is to carry information on their
contained data. If a Type has a save_to_dir function it will be called when the
object is added to the sheet.
-
class
datasheet.types.
DF
(content: Any, rel_save_path: pathlib.Path = None, save_format: str = 'tex')[source]¶ Pandas.DataFrame
- Parameters
save_format (str) – supports to either save the dataframe as latex-table or csv-file. Valid values are “tex” and “csv”
-
class
datasheet.types.
ElementInterface
(content: Any, rel_save_path: pathlib.Path = None)[source]¶ Base class for all other Interfaces.
To add an interface, 3 steps are neccessary:
- Define a class for it, which is derived from ElementInterface.
If it has a method named ‘save_to_dir’ which takes one argument: the output directory, it will be called by
datasheet.sheet.Sheet.__lshift__
. This way it is possible to save files, that can be used in the render-handlers.
Optionally define a mapping for a type to be wrapped automatically with your new interface by
datasheet.sheet.Sheet.__lshift__
inSheet.type_wrap_map
- Parameters
content (Any) – the actual element
rel_save_path (Path) – the output path in case a file should be stored, if not set, it can be assigned automatically using
ElementInterface.get_outfile
-
class
datasheet.types.
Figure
(content: Any, rel_save_path: pathlib.Path = None, dpi: int = 300, bbox_inches: str = 'tight', transparent: bool = False, extension: str = 'png', scale: float = 0.7)[source]¶ matplotlib.pyplot.figure
All arguments except scale are passed to matplotlib.figure.Figure.save_fig.
- Parameters
scale (float) – can be used by the renderer as a relative size
-
class
datasheet.types.
MD
(content: Any, rel_save_path: pathlib.Path = None, offset: dataclasses.InitVar = -1)[source]¶ Markdown
- Parameters
offset – the ammount of characters to strip of the left of each line. Determined automatically if set to -1.
-
class
datasheet.types.
MultiCell
(content: Any, rel_save_path: pathlib.Path = None)[source]¶ Allows to use multiple elements in a Row. Takes a tuple as argument
-
class
datasheet.types.
Nifti
(content: Any, rel_save_path: pathlib.Path = None)[source]¶ nibabel.Nifti1Image
Renderer¶
Renderers are responsible for creating a final output file. Currentrly only the
html_renderer exists, which is automatically called by datasheet.sheet.Sheet.render
but to configure the render process it is also possible to call it manually like this:
renderer(sheet.entries, sheet.outdir, render_arg1, render_arg2)
-
datasheet.html_renderer.
render_html
(entries, outdir: pathlib.Path, style_sheet: str = 'default.css', max_index_len: int = 25)[source]¶ Renders a
Sheet
as HTML-page.- Parameters
outdir (Path) – The outputfolder to store the page in, usually
Sheet.outdir
.style_sheet (str) – the css file to include in the page. It is looked for in datasheet.data, currently this is the only valid value for this parameter
max_index_len (int) – maximal number of characters a title can have before its index is abreviated.


Hi, How Are You?
My Name is Trump, and people call me as Mr. President.
We live in this house.
If you want to visit us, please click
here


--- layout: page title: About header-img: "img/about-bg.png" ---
Marsha is currently a Flatiron School Software Engineer student sharing her coding journey.


Use this application index.html
to debug components. Along with the examples here components have a seperate documentation readme file in their folder.
mdi-annoy
Basic Annoyance
mdi-annoy { position: fixed; bottom: 1.5rem; right: 2rem; }
mdi-body
Basic Body
mdi-button
Basic Default
mdi-color
Basic Color
Selected:
mdi-dropdown
Basic Dropdown
Render anything inside...
Render anything inside...
mdi-grid
Basic Icon Grid
mdi-icon
Basic Set path Attribute
Inline Path Attribute
mdi-input-hex-rgb
Basic Value
Selected:
mdi-input-range
Basic Value
Selected:
mdi-header
Basic Main Header
mdi-markdown
Basic Markdown
mdi-nav
Basic Main Navigation
mdi-picker extends MdiButton
Basic Default
mdi-search
Basic Search Docs
mdi-toast
Basic Search Docs
Note: This just triggers the show to make styling easier.
mdi-scroll
Basic Scroll
Content 0
Overflow = visible


Interactive Maps¶
Lets-Plot supports interactive maps via the geom_livemap() geom layer which enables a researcher to visualize geospatial information on a zoomable and paneble map.
When building interactive geospatial visualizations with Lets-Plot the visualisation workflow remains the same as when building a regular ggplot2
plot.
However, geom_livemap()
creates an interactive base-map super-layer and certain limitations do apply comparing to a regular ggplot2
geom-layer:
geom_livemap()
must be added as a 1-st layer in plot;Maximum one
geom_livemap()
layer is alloed per plot;Not any type of geometry can be combined with interactive map layer in one plot;
Internet connection to map tiles provider is required.
The following ggplot2
geometry can be used with interactive maps:
geom_point
geom_rect
geom_path
geom_polygon
geom_segment
geom_text
geom_tile
geom_vline
,geon_hline
geom_bin2d
geom_contour
,geom_contourf
geom_density2d
,geom_density2df


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113489newmembers/90466Machinelearningtooling.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113489-new-members/topic/Machine.20learning.20tooling.html


I was playing around with CRDs today when I wondered “what would happen if I tried to overwrite one of Kubernetes’ core object types? The results weren’t what I expected, so thought it was worth writing it down, in case it comes as a surprise to others :) N.B. There’s an update at the bottom which sheds more light on what happens when you do this
What’s a CRD?
Kubernetes Custom Resources are a way to extend the core Kubernetes API with custom types. They’re heavily used by various programs which extend Kubernetes functionality, and a common feature of most clusters. In general, Custom Resources have their own group so, for example if you use Cilium for your kubernetes networking, you’ll have CRDs like ciliumendpoints.cilium.io
which is the ciliumendpoint object in the cilium.io group.
Overwriting core Kubernetes CRDs
So an obvious question for a curious goose is, what happens if I try to create a CRD with the k8s.io
group, which is used by a lot of core Kubernetes objects. Well, let’s find out !
If we write a basic CRD which starts like this
apiVersion: apiextensions.k8s.io/v1
kind: CustomResourceDefinition
metadata:
name: networkpolicies.networking.k8s.io
we get an error when we create it. The error handily tells us that we need an annotation added to create a CRD in this group
The CustomResourceDefinition "networkpolicies.networking.k8s.io" is invalid: metadata.annotations[api-approved.kubernetes.io]: Required value: protected groups must have approval annotation "api-approved.kubernetes.io", see https://github.com/kubernetes/enhancements/pull/1111
There’s no validation on the contents of this annotation, so I just took the sample one from the GH issue. After I did that, it works! The first time I created a CRD overwriting the Network Policy object, I had it as a namespace scoped object and the results were unexpected.
Checking kubectl get crds
shows that it created ok (The one I created didn’t have an egress field)
kubectl get crds
NAME CREATED AT
networkpolicies.networking.k8s.io 2021-11-01T19:28:04Z
but if I use kubectl explain
on the object, the definition I get back is the original core object.
kubectl explain networkpolicies.networking.k8s.io.spec
KIND: NetworkPolicy
VERSION: networking.k8s.io/v1
RESOURCE: spec <Object>
DESCRIPTION:
Specification of the desired behavior for this NetworkPolicy.
NetworkPolicySpec provides the specification of a NetworkPolicy
FIELDS:
egress <[]Object>
List of egress rules to be applied to the selected pods. Outgoing traffic
is allowed if there are no NetworkPolicies selecting the pod (and cluster
policy otherwise allows the traffic), OR if the traffic matches at least
one egress rule across all of the NetworkPolicy objects whose podSelector
matches the pod. If this field is empty then this NetworkPolicy limits all
outgoing traffic (and serves solely to ensure that the pods it selects are
isolated by default). This field is beta-level in 1.8
Also if I try to create a sample network policy which uses the original object type, it works ok. So the CRD is there, but it’s not working.
What happens if you change the scope in the CRD from namespaced to cluster? Well now, it shows in the CRD list and it’s overwritten the object definition retrieved by kubectl explain
kubectl explain networkpolicies.networking.k8s.io.spec
KIND: NetworkPolicy
VERSION: networking.k8s.io/v1
RESOURCE: spec <Object>
DESCRIPTION:
<empty>
FIELDS:
name <string>
and if I try to create a Network Policy, I get an error showing that it doesn’t understand those field, so this has overwritten the core object.
error: error validating "sample-netpol.yaml": error validating data: [ValidationError(NetworkPolicy.spec): unknown field "egress" in io.k8s.networking.v1.NetworkPolicy.spec, ValidationError(NetworkPolicy.spec): unknown field "ingress" in io.k8s.networking.v1.NetworkPolicy.spec, ValidationError(NetworkPolicy.spec): unknown field "podSelector" in io.k8s.networking.v1.NetworkPolicy.spec, ValidationError(NetworkPolicy.spec): unknown field "policyTypes" in io.k8s.networking.v1.NetworkPolicy.spec]; if you choose to ignore these errors, turn validation off with --validate=false
Other examples
There’s more prodding at this to be done, but a fun additional one I noticed is that if you try to create a CRD with a name of users.authentication.k8s.io
it creates, but the result isn’t visible in kubectl api-resources
and you can’t use kubectl explain
on it, even though it’s not overwriting a visible Object type.
Conclusion
From a security standpoint, the takeaway here is, don’t let anyone create CRDs in your cluster unless you really really trust them, as they can modify Kubernetes core behaviour. Also if you’re planning to appear on Rawkode’s klustered show, you could try this and hope the cluster fixers don’t read my blog :)
Update 03/11/2021
Curious to get some details on was going on behind the scenes and possible security implications, I asked on k8s slack (a great source of information), and the inimitable Jordan Liggitt was able to explain it. It seems like this doesn’t actually overwrite the core Kubernetes types, but what it does do is modify OpenAPI schemes used by clients like Kubectl to validate data being passed to the API server. So, in effect this could break tooling or produce odd behaviour but isn’t modifying the core Kubernetes API. There’s an issue in the Kubernetes Github repo with more info.
To me, it’s still interesting, but in a slightly different way as it illuminates how some of the different components in Kubernetes work together and some of the possible complexity when unusual or unexpected changes are made.


--- title: Zero-padding layer for 1D input (e.g. temporal sequence). type: docs repo: https://github.com/rstudio/keras menu: main: name: Zero-padding layer for 1D input (e.g. temporal sequence). - keras parent: keras-reference aliases: - /reference/keras/layer_zero_padding_1d.html - /keras/reference/layer_zero_padding_1d.html - /guide/keras/reference/layer_zero_padding_1d.html - /tools/tools/keras/reference/layer_zero_padding_1d.html - /installation/keras/reference/layer_zero_padding_1d.html - /tutorials/keras/reference/layer_zero_padding_1d.html - /guide/tools/keras/reference/layer_zero_padding_1d.html - /deploy/keras/reference/layer_zero_padding_1d.html - /tools/keras/reference/layer_zero_padding_1d.html - /tutorials/tools/keras/reference/layer_zero_padding_1d.html ---
Zero-padding layer for 1D input (e.g. temporal sequence).
layer_zero_padding_1d(
object,
padding = 1L,
batch_size = NULL,
name = NULL,
trainable = NULL,
weights = NULL
)
| object | Model or layer object |
| padding | int, or list of int (length 2)
|
| batch_size | Fixed batch size for layer |
| name | An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided. |
| trainable | Whether the layer weights will be updated during training. |
| weights | Initial weights for layer. |
3D tensor with shape (batch, axis_to_pad, features)
3D tensor with shape (batch, padded_axis, features)
Other convolutional layers:
layer_conv_1d_transpose()
,
layer_conv_1d()
,
layer_conv_2d_transpose()
,
layer_conv_2d()
,
layer_conv_3d_transpose()
,
layer_conv_3d()
,
layer_conv_lstm_2d()
,
layer_cropping_1d()
,
layer_cropping_2d()
,
layer_cropping_3d()
,
layer_depthwise_conv_2d()
,
layer_separable_conv_1d()
,
layer_separable_conv_2d()
,
layer_upsampling_1d()
,
layer_upsampling_2d()
,
layer_upsampling_3d()
,
layer_zero_padding_2d()
,
layer_zero_padding_3d()


?annotation
label
lo
(f^CZ^AJLCXtMA.___LVlGc
DETERMINED
BY
HELEN
B.
CORRELL
THE
NEW
YORK
BOTANICAL
GARDEN
EXPLORATION
OF
THE
BAHAMAS
New
Providence
New
York
Botanical
Garden
N,
L.
BRITTON
/I
L.
J.
K.
Brace
f
COLLECTORS
1904
1604931
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Learn and move forward
Solve the problem
Create a problem for yourself...
This is another very important thing we have to work on this day


This directive is meaningful only with the
—disable-internal-dns option. The interface between Squid and the external DNS program is built
around the gethostbyname( ) function. Squid
writes a request to a dnsserver process, which
performs the query. The gethostbyname( ) call
blocks the process until the reply arrives. This is why Squid
can't use the function internally. Each dnsserver handles only one request at a time,
so you need enough of them to handle the load from your cache.
Unfortunately, you may need to experiment with different values to
discover the appropriate setting for your particular situation. In
theory, you can calculate the number of child processes if you know
the rate of DNS lookups and how long lookups take on average.
Unfortunately, both values can vary significantly over time. Squid writes a warning into cache.log if you
have too few dnsserver child processes. If all
helper processes are busy, Squid queues up new lookups. If the queue
grows too large, Squid emits an error message and exits. Thus, too
many child processes are better than too few. You can use the dns entry in the cache manager
menu to see dnsserver utilization information.
Requests are always sent to the first idle process, so you can see if
some processes never receive any DNS lookup requests. In that case
you may want to lower the dns_children value.  The primary reason is that the creation of a
child process, via fork( ), is a relatively
"heavy" operation. It may introduce
significant delays for active HTTP requests. A Squid process
typically consumes a lot of memory. In some cases, fork(
) may fail due to lack of available memory or swap space.
Rather than try to fix all these issues with the external DNS
implementation, Squid can read and write DNS messages internally. |
Syntax
|
dns_children number
| |
Default
|
dns_children 5
| |
Example
|
dns_children 16
| |
Related
|
cache_dns_program
|
|


“Talk to the horse in Latin, Greek, French, English, or Spanish, or in any other language you please. Hold up your foot—‘Live la pied’—‘Alza el pie’—‘Aron ton poda,’ etc., at the same time lift his foot with your hand… This operation is no magnetism, no galvanism; it is merely taking away the fear a horse generally has of a man.” — P R Kincaid & John J Stutzman, The Arabian Art Of Taming And Training Wild And Vicious Horses


1. Click on the Login Button show in the top of the Page.
2. After clicking the button, Form will be open..
3. First enter the Bhamashah Acknowledgment Id .
4. Enter the password inside the text box.
5. Click to Login Button.


Table Of Contents
Suite of Application Builders(翻訳済み)¶
アプリケーションを起動するさまざまな方法を探ります。 コマンドラインパラメータなしで実行する場合は、端末のメニューが表示されます。 また、’r’パラメータでランダムな選択を実行します。ログオプションの多くは、デバッグ作業を簡単にするためにあります：実行順序は明らかではないかもしれません。コマンドを実行するたびに、一つだけkivyアプリケーションが作成されます。
This uses the file testkvfile.kv and the file app_suite_data/testkvdir.kv.
File application\app_suite.py¶
'''
Suite of Application Builders
=============================
This explores different methods of starting an application.
You can also run this with a 'r' parameter to pick a random method.
There are lots of logging options to make this easier to debug: the execution
order may not be obvious. Each time you run the command, only one kivy
application is created.
This uses the file testkvfile.kv and the file app_suite_data/testkvdir.kv.
'''
from __future__ import print_function
import sys
import re
from random import choice
import kivy
kivy.require('1.8.0') # 1.8 is when kv_directory became part of app.
from kivy.app import App
from kivy.uix.button import Button
from kivy.lang import Builder
from kivy.uix.floatlayout import FloatLayout
# Note that importing FloatLayout causes Kivy to execute, including
# starting up the Logger and some other messages.
print("** In main program, done with imports")
class TestBuildApp(App):
""" Use build() function to return a widget. """
def build(self):
""" Build called by kivy when an App is started.
Called after trying to load a .kv file.
Returns a new Button as a root widget.
"""
print("** inside build()")
return Button(text='hello from TestBuildApp')
class TestKVFileApp(App):
"""
Empty class, but name used to find .kv file. The filename is the lowercase
version of the class, i.e. 'testkvfileapp.kv'. If not found, it strips
off the final 'app', i.e. 'testkvfile.kv'. If not file is found, and no
other method sets the self.root, the program will run with an empty screen.
"""
pass
class TestKVDirApp(App):
"""
Empty class except for setting class variable kv_directory.
This directory sets the directory in which to search for the .kv file.
The name of the kv file is still governed by the class name and the .kv
file should still have one root widget.
"""
kv_directory = 'app_suite_data'
class TestKVStringApp(App):
"""
Use a build() function and use the kivy.lang.Builder function to parse up a
Kivy language string.
"""
def build(self):
""" Called by kivy run(). """
print("** inside build()")
widget = Builder.load_string(
"Button:\n text: 'hello from TestKVStringApp'")
print("** widget built")
return widget
class TestPrebuiltApp(App):
""" Use the Builder to create a top level widget at the beginning
of the Python program, then use a dummy class for that widget.
This costs a bit more in start-up time. """
kv = "<Prebuilt>\n Button:\n text:'hello from TestPrebuiltApp'"
Builder.load_string(kv)
print("** in TestPrebuiltApp, class initialization built <Prebuilt>")
class Prebuilt(FloatLayout):
""" Empty class to cause setting root to <Prebuilt> tag and
set inheritence """
pass
def build(self):
""" called, returns instance matching tag . """
return self.Prebuilt()
def print_class(class_name):
""" Read this file and print the section with the class name specified.) """
filename = sys.argv[0]
with open(filename) as f:
data = f.read()
regex = "^(class " + class_name + "\\b.*?)^\\S"
match = re.search(regex, data, flags=re.MULTILINE | re.DOTALL)
if match:
print(match.group(1))
# the __name__ idiom executes when run from command line but not from import.
if __name__ == '__main__':
dash = "-" * 40
arg = sys.argv[1][0].lower() if len(sys.argv) > 1 else "h"
print(dash)
if arg == 'r':
arg = choice('bfds')
if arg == 'b':
print_class("TestBuildApp")
TestBuildApp().run()
elif arg == 'f':
print_class("TestKVFileApp")
TestKVFileApp().run()
elif arg == 'd':
print_class("TestKVDirApp")
TestKVDirApp().run()
elif arg == 's':
print_class("TestKVStringApp")
TestKVStringApp().run()
elif arg == 'p':
print_class("TestPrebuiltApp")
TestPrebuiltApp().run()
else: # help
print("""
This demo runs different application windows based on a command line argument.
Try using one of these:
b - Use build() method to return a widget
d - Use a kv file from a different directory
f - Use a kv file with the widget object
p - Use prebuilt widget inside a layout
s - Use a kivy language string to create the widget
r - pick one of the options at random.
h - show this help message.
After closing the application window, this program will exit.
While the run() method does return, kivy cannot run another
application window after one has been closed.
""")
print(dash)
print("This program is gratified to be of use.")
File application\testkvfile.kv¶
1 2 3 4 | #:kivy 1.0
Button:
text: 'Hello from testkvfile.kv'
|
File application\app_suite_data/testkvdir.kv¶
1 2 3 4 | #:kivy 1.0
Button:
text: 'Hello from app_suite_data/testkvdir.kv'
|


West Ham summer signing facing axe from Manuel Pellegrini in January
by Ron CarneWest Ham are reportedly considering offloading Albian Ajeti in January despite having only signed for the club this past summer.
As noted by BBC Sport, the Hammers snapped up the 22-year-old for a fee believed to be around £8m, and so there would undoubtedly have been high hopes over what he could contribute.
SEE MORE: Two former West Ham managers ruled out of replacing Pellegrini if change made
However, he has been limited to just six appearances so far this season across all competitions, and so naturally that has raised question marks over his future under Manuel Pellegrini.
As reported by Hammers News, it has been suggested that the West Ham boss could be ready to green light an exit for Ajeti in the January transfer window, although it’s unclear as to whether or not that would be on a loan or a permanent basis.
Given he hasn’t had a lot of opportunities to prove his quality, it could be argued that it’s too soon to quit on him and he should be given time to show that he has a future at West Ham.
However, based on the report above, it sounds as though he may well be running out of time to show what he can offer, while it remains to be seen if that leads to more financial flexibility and space in the squad to bring in a replacement.
The Hammers have scored just 14 goals in 12 Premier League games so far this season, and so they certainly need to add more firepower particularly if they are to lose a forward regardless of how limited Ajeti’s impact has been.


Preparation time
over 2 hours
Cooking time
30 mins to 1 hour
Serves
Serves 6
A rich pâté flavoured with brandy, Maderia and port. An earthy beetroot jelly and crisp chicken skin ups the ante.
Equipment and preparation: for this recipe you will need six sterilised small kilner jars or small jam jars (approximately 8x7cm/4x3in), a fine conical sieve (such as a chinois), muslin, a blender and two baking trays.
Preheat the oven to 100C/225F/Gas ¼.
To make the beetroot jelly, in a food processor blend the beetroot, red wine vinegar and sugar to a purée. Season to taste with salt and freshly ground black pepper.
Line a sieve with muslin and place over a bowl. Pour the beetroot purée into the sieve and set aside to allow the juice to run into the bowl.
Warm the beetroot juice and then squeeze the excess water from the soaked gelatine before adding them to the beetroot juice. Stir to dissolve. Set aside to cool, but not set.
To make the pâté, in a pan combine the shallots, all the alcohol, thyme, bay leaf and garlic. Bring to the boil and simmer until the liquid has evaporated.
Remove the thyme and bay leaf and then place in a blender. Add the chicken livers and pulse.
Slowly add the eggs followed by the butter. Season with salt and freshly ground black pepper then pass through a chinois. Divide the mixture between six sterilised jars, filling them two-thirds full.
Place the jars in an oven proof dish with a cloth underneath. Fill the dish with boiling water until half way up side of the jars. Place the dish in the oven for 30 minutes.
Remove the jars from the oven and transfer to the fridge to chill. Increase the oven temperature to 180C/350F/Gas 4.
For the garnish, remove the chicken skin from the legs. Place the skin between two baking trays and bake in the oven for 25 minutes, or until crisp.
When the pâté is firm, carefully pour a thin layer of the jelly on top (approximately 5mm/ ¼in deep). Return to the fridge to set.
To serve, halve the golden beetroot and carefully place on the jelly. Place the chicken skin on the side.


Red Wine Quality
ABOUT THE DATASET
The two datasets are related to red and white variants of the Portuguese “Vinho Verde” wine.
CITATION
Paulo Cortez, University of Minho, Guimarães, Portugal website
A. Cerdeira, F. Almeida, T. Matos and J. Reis, Viticulture Commission of the Vinho Verde Region(CVRVV), Porto, Portugal
ABOUT VINHO VERDE WINE
Vinho Verde refers to Portuguese wine that originated in the historic Minho province in the far north of the country. The modern-day ‘Vinho Verde’ region, originally designated in 1908, includes the old Minho province plus adjacent areas to the south. In 1976, the old province was dissolved.
Vinho Verde is not a grape variety, it is a DOC for the production of wine. The name means “green wine,” but translates as “young wine”, with wine being released three to six months after the grapes are harvested. They may be red, white, or rosé and they are usually consumed soon after bottling. A Vinho Verde can also be a sparkling, a Late Harvest or even Brandy. In its early years of production, the slight effervesce of the wine came from malolactic fermentation taking place in the bottle. In winemaking this is usually considered a wine fault but Vinho Verde producers found that consumers liked the slightly fizzy nature. However, the wines had to be packaged in opaque bottles to hide the unseemly turbidity and sediment that the “in-bottle MLF” produced. Today, most Vinho Verde producers no longer follow this practice with the slight sparkle being added by artificial carbonation.


Enter content here in markdown format. See guidelines. When you’re done and you want the post to appear publicly, change the last line of the meta data to:
visible: true
Enter content here in markdown format. See guidelines. When you’re done and you want the post to appear publicly, change the last line of the meta data to:
visible: true


Customer Manage
Customer ID
Customer Name
Customer Address
Customer Salary
Register Customer
Search
Remove
Get All
ID
Name
Address
Salary


|
IAIK PKCS#11 Wrapper version 1.3 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--iaik.pkcs.pkcs11.DefaultInitializeArgs
This class is a simeple implementation of InitializeArgs.
| Field Summary | |
protected boolean |
libraryCantCreateOsThreads_
Indicates that application threads which are executing calls to the library may not use native operating system calls to spawn new threads. |
protected MutexHandler |
mutexHandler_
The mutex-handler of this object. |
protected boolean |
osLockingOk_
Indicates that the libary may use mechanisms of the operating-system to do thread-locking. |
protected java.lang.Object |
reserved_
The reserved parameter in the initialization arguments. |
| Constructor Summary | |
DefaultInitializeArgs()
Default constructor. |
|
DefaultInitializeArgs(MutexHandler mutexHandler,
boolean libraryCantCreateOsThreads,
boolean osLockingOk)
Constructor, taking a mutex-handler, the libraryCantCreateOsThreads flag and the osLockingOk flag. |
| Method Summary | |
MutexHandler |
getMutexHandler()
This method returns the object that implements the functionality for handling mutexes. |
java.lang.Object |
getReserved()
Reserved parameter. |
boolean |
isLibraryCantCreateOsThreads()
Check, if application threads which are executing calls to the library may not use native operating system calls to spawn new threads. |
boolean |
isOsLockingOk()
Check, if the library can use the native operation system threading model for locking. |
void |
setLibraryCantCreateOsThreads(boolean libraryCantCreateOsThreads)
Set, if application threads which are executing calls to the library may not use native operating system calls to spawn new threads. |
void |
setMutexHandler(MutexHandler mutexHandler)
This method sets the object that implements the functionality for handling mutexes. |
void |
setOsLockingOk(boolean osLockingOk)
set, if the library can use the native operation system threading model for locking. |
void |
setReserved(java.lang.Object reserved)
Set the reserved parameter. |
java.lang.String |
toString()
Returns the string representation of this object. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
protected MutexHandler mutexHandler_
protected boolean libraryCantCreateOsThreads_
protected boolean osLockingOk_
protected java.lang.Object reserved_
| Constructor Detail |
public DefaultInitializeArgs()
public DefaultInitializeArgs(MutexHandler mutexHandler, boolean libraryCantCreateOsThreads, boolean osLockingOk)
mutexHandler
- The PKCS#11 module should use this mutex-handler.libraryCantCreateOsThreads
- Indicates that application threads which
are executing calls to the library may
not use native operating system calls to
spawn new threads .osLockingOk
- Indicates that the libary may use mechanisms of the
operating-system to do thread-locking.| Method Detail |
public MutexHandler getMutexHandler()
getMutexHandler
in interface InitializeArgs
public boolean isLibraryCantCreateOsThreads()
isLibraryCantCreateOsThreads
in interface InitializeArgs
public boolean isOsLockingOk()
isOsLockingOk
in interface InitializeArgs
public java.lang.Object getReserved()
getReserved
in interface InitializeArgs
public void setMutexHandler(MutexHandler mutexHandler)
mutexHandler
- The handler object for mutex functionality, or null
to use no handler.public void setLibraryCantCreateOsThreads(boolean libraryCantCreateOsThreads)
libraryCantCreateOsThreads
- True, if application threads which are
executing calls to the library may not
use native operating system calls to
spawn new threads. False, if they may.public void setOsLockingOk(boolean osLockingOk)
osLockingOk
- True, if the library can use the native operation system
threading model for locking. Fasle, otherwise.public void setReserved(java.lang.Object reserved)
reserved
- Should be null in this version.public java.lang.String toString()
toString
in class java.lang.Object
|
IAIK PKCS#11 Wrapper version 1.3 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Kid Safe Search
Home
Environment
climate
season
water quality
ozone
global warming
air pollution
tropical forrest
forrest
atmosphere
greenhouse
coastal waters
coral reef
environmental factor
soil solution
agricultural land
ground water
solar radiation
soil carbon
surface sediment
soil properties
marine environment
acid rain
acid deposition
wildfire
marine ecosystem
climatic variation
soil contamination
soil erosion
deforrestation
sea level rise
water table


Visit www.affinitic.be
or read our Blog
Follow us : Facebook - Twitter
public repos members
info@affinitic.be


Stimulation of human peripheral blood mononuclear cells by zinc and related cations.
Abstract
Zinc is an important trace element for immune function. Here, we show that zinc addition in a serum- and lipopolysaccharide-free cell culture system leads to significantly enhanced levels of interleukin 1 beta (IL-1 beta) and tumour necrosis factor alpha (TNF-alpha) and to expression of the corresponding mRNA in human peripheral blood mononuclear cells (PBMC). Structurally related divalent cations like cobalt, nickel, and mercury also partially increase monokine secretion but to a much lower and thus insignificant extent. They fail to induce mRNA of TNF-alpha after 3 h of culture. Therefore, monokine induction is a zinc-specific effect influenced by the physicochemical properties of the ion. Confirmation of the unique significance of zinc for immune function provides a better understanding of the mechanisms of specific zinc-mediated immune modulation.


| sparkR.session {SparkR} | R Documentation |
SparkSession is the entry point into SparkR. sparkR.session
gets the existing
SparkSession or initializes a new SparkSession.
Additional Spark properties can be set in ...
, and these named parameters take priority
over values in master
, appName
, named lists of sparkConfig
.
sparkR.session(master = "", appName = "SparkR", sparkHome = Sys.getenv("SPARK_HOME"), sparkConfig = list(), sparkJars = "", sparkPackages = "", enableHiveSupport = TRUE, ...)
master |
the Spark master URL. |
appName |
application name to register with cluster manager. |
sparkHome |
Spark Home directory. |
sparkConfig |
named list of Spark configuration to set on worker nodes. |
sparkJars |
character vector of jar files to pass to the worker nodes. |
sparkPackages |
character vector of package coordinates |
enableHiveSupport |
enable support for Hive, fallback if not built with Hive support; once set, this cannot be turned off on an existing session |
... |
named Spark properties passed to the method. |
When called in an interactive session, this method checks for the Spark installation, and, if not
found, it will be downloaded and cached automatically. Alternatively, install.spark
can
be called manually.
A default warehouse is created automatically in the current directory when a managed table is
created via sql
statement CREATE TABLE
, for example. To change the location of the
warehouse, set the named parameter spark.sql.warehouse.dir
to the SparkSession. Along with
the warehouse, an accompanied metastore may also be automatically created in the current
directory when a new SparkSession is initialized with enableHiveSupport
set to
TRUE
, which is the default. For more details, refer to Hive configuration at
http://spark.apache.org/docs/latest/sql-programming-guide.html#hive-tables.
For details on how to initialize and use SparkR, refer to SparkR programming guide at http://spark.apache.org/docs/latest/sparkr.html#starting-up-sparksession.
sparkR.session since 2.0.0
## Not run:
##D sparkR.session()
##D df <- read.json(path)
##D
##D sparkR.session("local[2]", "SparkR", "/home/spark")
##D sparkR.session("yarn", "SparkR", "/home/spark",
##D list(spark.executor.memory="4g", spark.submit.deployMode="client"),
##D c("one.jar", "two.jar", "three.jar"),
##D c("com.databricks:spark-avro_2.12:2.0.1"))
##D sparkR.session(spark.master = "yarn", spark.submit.deployMode = "client",
## End(Not run)


Implementation
Redefining a function using Patchwork doesn't actually modify its source or the opcodes produced from it. Doing the former would only allow to redefine a function once per runtime, and the latter is entirely impossible in userland PHP code. The process behind this so-called redefinition, whose name is more metaphorical than technically representative, is considerably more complicated, and the goal of this document is to explain it to those who are interested.
Intercepting File Includes
Patchwork uses a stream wrapper to intercept include statements and its variations.
The following line from Patchwork.php registers the stream wrapper, whose code is located in lib/Preprocessor/Stream.php:
Preprocessor\Stream::wrap();
This wrapper is attached to the file protocol, and thus can override any of PHP's basic filesystem routines, such as opening a filesystem node (e.g. using fopen) or deleting it (using unlink). However, Patchwork's wrapper preserves the original functionality of all routines except for file opening, which is handled by the wrapper's stream_open method.
This method first checks if the request to open a file comes from an include statement. This check is done by checking for a specific bit flag (128 or 0x80) in the $mode argument. Any mention of this flag is nowhere to be found in PHP's documentation, yet it being set always coincides with the request coming from a statement of the include family (this has been tested on multiple PHP installations running on different platforms).
If that turns out to be the case, Patchwork temporarily unwraps the file protocol to read the file being included, preprocesses its contents (more on that soon), writes the result to an in-memory stream and returns this stream's handle instead of a handle corresponding to the file being included.
Otherwise, stream_open just relays control to the default filesystem routine (fopen in this case), like other methods in Patchwork's wrapper.
Preprocessing Code
Patchwork by default attaches four callbacks that are responsible for code preprocessing:
Preprocessor\attach(array( Preprocessor\Callbacks\Preprocessor\propagateThroughEval(), Preprocessor\Callbacks\Interceptor\markPreprocessedFiles(), Preprocessor\Callbacks\Interceptor\injectCallInterceptionCode(), Preprocessor\Callbacks\Interceptor\injectScheduledPatchApplicationCode(), ));
The most important of them is injectCallInterceptionCode, which, as the name suggests, injects code to the beginning of each function and method, and this code makes it possible to intercept any call to a function that resides in a preprocessed PHP file.
The code injected by injectCallInterceptionCode is contained in a constant named CALL_INTERCEPTION_CODE. Before injection, this code is condensed to a single line to preserve line numbering, so that there wouldn't be any PHP error messages with incorrect line numbers. Also, this code is optimized to achieve minimum performance overhead in cases when the call doesn't have to be intercepted.
Intercepting Calls
Now that we've injected code into every user-defined function, we can actually achieve an effect equivalent to redefining them. We can make it possible to attach handlers to the event of a function being called, which is what Patchwork does. All that's left to do beyond this point is trivial, so we'll conclude this article here.
If there's a detail in the implementation of Patchwork that remained a mystery to you after reading this, please leave a comment!


Who am I now?
I am a student at Luminus College, majoring in software engineering,
passionate about programming and technology,
looking forward to learning and development,
designing and building websites and programs, and I want to do more.
Undergraduate period - Maturity stage
I started my university life at the University of Jordan in Amman, majoring in mechanical
engineering.
The challenge was difficult, but I was able to graduate with a good grade.
During my university period,
I worked on many projects such as: air conditioning, design, and engineering maintenance
High School -- the start of the journey
I joined Al-Baqa'a Secondary School for Boys to enter the scientific major.
My passion for science and technology pushed me to get high grades,
and I finished this stage with
distinction.
Note (the photo is from my delivery of the gold medal in chess to high school students)


On this page we have a controller that contains a directive that does not
create a new scope.
- Click the #rb#, then click the #psb# to see the initial state.
Because the directive does not create a new scope, there is only the
controller scope.
- Type something in the textboxes, then click the #psb#.
Again, since there is only one scope, primitives and object properties
associated with |ng-model| simply affect the one scope.
Tip: if your directive does not create its own scope, make sure it does
not create new |$scope| properties and polute the parent.
See also this
StackOverflow question about how to choose the correct type of scope to
use when creating a directive.