The metric M7 tracks the usage of DNSSEC in TLD. There is an interesting difference between GTLD and CCTLD for this metric. The contract of GTLD with ICANN requires them to deploy DNSSEC, and thus we can expect values close to 100%. CC TLD do not have any such oblication, and the deployment of DNSSEC reflects the initiative of the CC TLD operators. We thus track the DNSSEC deployment in TLD in two ways:
The metric is computed by parsing the root zone. We download a copy of the root zone every month, and check for each TLD in the zone whether a Delegation Signer (DS) Resource Record is present. If the DS record is present, we mark the TLD as deploying DNSSEC.
The current values of the metrics is available here.


class: center, titleslide
# Python Workshop: # Miscellaneous Topics
##
Ties de Kok
## Tilburg University --- layout: true class: mainlayout --- class: tocslide .left-column[ ## Agenda ] .right-column[ ### What are we going to discuss today?
1. Best practices for coding projects 2. How to structure a coding project 3. Version control using GitHub 4. Jupyter Notebook with multiple languages 5. Running code remotely ] --- class: tocslide .left-column[ ## Agenda ## Best
Practices ] .right-column[ ### Best practices Best practices are important, in particular for projects with a lot of code! ### Starting point
> ["Code and Data for the Social Sciences: A Practitioner’s Guide"](https://web.stanford.edu/~gentzkow/research/CodeAndData.pdf) > Gentzkow and Shapiro (2014) My review: > They highlight a lot of very important points! > Unfortunately their implementations are not up-to-date and practical.
Let me give you my approach! ] --- class: tocslide .left-column[ ## Agenda ## Best
Practices ## My
Principles ] .right-column[ ### My coding principles
1. Force yourself to be organized from the beginning
2. Use basic version control for code and output
3. Use a flow-inspired folder structure
4. Be as descriptive as you can: code + filenames
5. Use the power of Jupyter when descriptive code is not enough
6. Do not leave blind spots in your code
] -- .right-column-next[
These are obviously highly opinionated! ] --- class: tocslide .left-column[ ## Agenda ## Best
Practices ## My
Principles ## Python
Principles ] .right-column[ ### The zen of Python ([Link](https://www.python.org/dev/peps/pep-0020/)): > Beautiful is better than ugly. > Explicit is better than implicit. > Simple is better than complex. > Complex is better than complicated. ] -- .right-column-next[
> Errors should never pass silently. > Unless explicitly silenced. ] -- .right-column-next[
> If the implementation is hard to explain, it's a bad idea. > If the implementation is easy to explain, it may be a good idea. ] -- .right-column-next[
> There should be one-- and preferably only one --obvious way to do it. > Although that way may not be obvious at first **unless you're Dutch.** ] --- class: tocslide .left-column[ ## Agenda ## Best
Practices ## My
Principles ## Python
Principles ] .right-column[ ### The zen of Python ([Link](https://www.python.org/dev/peps/pep-0020/)):
> There should be one-- and preferably only one --obvious way to do it. > Although that way may not be obvious at first **unless you're Dutch.** Explanation from author (Tim Peters): > Or, in other words, "obvious" is in part a learned, cultural judgment. There's really nothing universally obvious about any computer language, deluded proponents notwithstanding. **Nevertheless, most of Python is obvious to the Dutch.** Others sometimes have to work a bit at *learning* the one obvious way in Python, just as they have to work a bit at learning to appreciate tulips.. ] -- .right-column-next[
Sorry about that! 🌷🌷🌷 ] --- class: tocslide .left-column[ ## Agenda ## Best
Practices ## My
Principles ## Python
Principles ## Folder
Structure ] .right-column[ ### Folder structure
Always set working directory to the `Project Folder` ] --- class: tocslide .left-column[ ## Version
Control ] .right-column[
### What is version control?
> Version control is a system that records changes to a file or set of files over time so that you can recall specific versions later ] -- .right-column-next[
### Why do you need it? Does your project folder look something like this? > code_v1.2 [06-06-2018] > code_v1.2.1 > code_v1.2 (OLD!) > code_v1.1 [Ties backup]
Version control solves this! ] --- class: tocslide .left-column[ ## Version
Control ## Git ] .right-column[
] --- class: tocslide .left-column[ ## Version
Control ## Git ] .right-column[
### How to use version control? The most widely used version control software is called `git` ([Link](https://git-scm.com/)) You can run `git` locally, but it is better to use an online provider. Storing your version control online makes it much less likely to lose it! ] -- .right-column-next[
### Three major providers for `git`: 1. GitHub 2. BitBucket 3. GitLab
In my experience `GitHub` is by far the best choice! ] --- class: tocslide .left-column[ ## Version
Control ## Git ## GitHub ] .right-column[
### What is GitHub?
> GitHub Inc. is a web-based hosting service for version control using Git. It is mostly used for computer code. It offers all of the distributed version control and source code management functionality of Git as well as adding its own features. ] -- .right-column-next[
#### Why do I use GitHub? 1. Clean and easy to use interface 2. Native support for rendering Jupyter Notebooks 3. GitHub Desktop application is very convenient 4. Free unlimited private repositories for academics **Bonus feature:** you can use `GitHub pages` to host your webpages for free! ] --- class: tocslide .left-column[ ## Version
Control ## Git ## GitHub ] .right-column[ ### Apply for GitHub Education You can apply for `GitHub Education` as a researcher here: [**Submit Request**](https://education.github.com/discount_requests/new)
] --- class: tocslide .left-column[ ## Version
Control ## Git ## GitHub ## GitHub
Desktop ] .right-column[ ### GitHub Desktop Download the `GitHub Desktop` for Windows or MacOS here: [**Download**](https://desktop.github.com/)
] --- class: tocslide .left-column[ ## Version
Control ## Git ## GitHub ## GitHub
Desktop ## Basic
Workflow ] .right-column[ ### Basic Workflow #### First time: 1. Create a new repository on GitHub 2. Clone repository to computer 3. Copy+Paste project content into that folder 4. Set up `.gitignore` file ] -- .right-column-next[ #### When you start working 1. Sync with GitHub (i.e. "pull" changes) ] -- .right-column-next[ #### When you make changes 1. Sync with GitHub (i.e. "pull" changes) 2. Create commit 3.  Data 2. Credentials 3. "Byproduct" files ] -- .right-column-next[ #### How? > A `.gitignore` file allows you to select files that should be automatically ignored by git. You can look up the basic syntax here: [Gitignore documention](https://git-scm.com/docs/gitignore) ] --- class: tocslide .left-column[ ## Version
Control ## Git ## GitHub ## GitHub
Desktop ## Basic
Workflow ## Gitignore
File ] .right-column[ ### Example of my usual `.gitignore` ```text /* !.gitignore **/.ipynb_checkpoints **/desktop.ini !empirical/ empirical/* !empirical/archival/ empirical/archival/* !empirical/archival/1_code/*.ipynb !paper paper/* !paper/latex ``` ] --- class: tocslide .left-column[ ## Jupyter
Notebook ] .right-column[ ### You can use Jupyter Notebooks for many languages! Supported languages: 1. Python 2. R 3. Stata (using my [iPyStata package](https://github.com/TiesdeKok/ipystata)) 4. SAS (?) 5. And many more! For a full list, see this page: [Jupyter Kernels](https://github.com/jupyter/jupyter/wiki/Jupyter-kernels)
] -- .right-column-next[ ### Using multiple languages in one notebook is possible!
Look up ipython magic commands, for example: [intro](https://jakevdp.github.io/PythonDataScienceHandbook/01.03-magic-commands.html) ] --- class: tocslide .left-column[ ## Jupyter
Notebook ## Remote
Computing ] .right-column[ ### Does your code: 1. Takes a long time to run? 2. Require a lot of memory?
Consider looking into running your code remotely! ] -- .right-column-next[ ### Running code remotely
> Using a "super computer" / "grid" / "compute server" allows you to run your code remotely using way more powerful hardware than an average computer Combine remote computing with parallel / multi-processing and you can drastically speed up your code!
I recommend the Python `joblib` library for parallel computing ] --- class: tocslide .left-column[ ## Jupyter
Notebook ## Remote
Computing ## Hyak ] .right-column[ ### Hyak cluster The "supercomputer" used by the University of Washinghton is called "HYAK" Find information about it here: [HYAK Compute Cluster](https://itconnect.uw.edu/service/shared-scalable-compute-cluster-for-research-hyak/)
### How to get access? UW students can apply for free access through the HPCC: [HPCC: getting started on Hyak](http://students.washington.edu/hpcc/getting-started-on-hyak/) ] --- class: tocslide .left-column[ ## Closing
remarks ] .right-column[
Questions?
] --- class: tocslide .left-column[ ## Closing
remarks ## Demonstration ] .right-column[
Demonstration
] --- class: tocslide .left-column[ ## Closing
remarks ## Demonstration ## Mini-task ] .right-column[ ## Setup: 1. Make sure you have a GitHub account 2. Make sure you downloaded GitHub Desktop 3. Remember to apply for GitHub Education ## Mini-task: 1. Create a repository on GitHub 2. Clone it to your computer 3. Add a text file to your folder 4.  Push commit to GitHub 6. Add neighbor to your GitHub repository 7. Have them clone your repository 8. Make them commit + push a change to your text file 8. Sync (Pull) their change ]


Get everything Ellen DeGeneres straight from America's #1 celebrity brand, After her parents divorce, DeGeneres, 13, uses her comedic talents to help her Jan 9, 2013 I did not like Bethany Frank venting. her personal life about her divorce We all
read enough about it in the tabloids. Her crying and. sobbing
Apr 27, 2012 Ellen fired back that there are plenty of divorced moms who get by on a. pointed me to this interview that Tammy Lynn Michaels recently did
Oct 9, 2013. Tags: bethenny frankel, divorce, ellen degeneres, jason hoppy, tv news they
continues life as an adult pretty much the same way they did as Sep 23, 2010. Portia De Rossi and Ellen. DeGeneres Divorce. Getty Images Read Article??
37 Drake: Did He Admit That. He's Dating Rihanna On 'Ellen?
May 22, 2013. Between Ellen DeGeneres' badass. takedown of Abercrombie 'I Went To
Breakfast With Friends While My Husband Was Served Divorce Papers'1 7k sexuality becoming the central focus. of the show as it did on "Ellen.
A documentary about wounded veterans that Roger championed gets a screening at the Rehabilitation Institute of Chicago and screenings in New York and Los Angeles…
Jun 17, 2012 It's almost four years since they. tied the knot but Ellen DeGeneres and European glamour for shopping spree in LA Did a spot of shopping in he and
fiancée Axelle Francine are expecting a son Divorced Eva in 2010
In a sneak peek of the Monday, Oct. 28, episode of The Ellen DeGeneres Show: Ellen DeGeneres Tells Bethenny Frankel To Stop Talking About Her Divorce radaronline com Celebs raised millions for Sandy relief, so where did it go?
Ellen DeGeneres' coming out' as a. lesbian has been presented to the public as a Did you have any idea Ellen was gay before she came out to you? of her that the divorce and our constant moves were. very hard on hershe was always
Mar 2, 2013 Ellen DeGeneres Begs Wife Portia Not To Leave Her : HOLLYWOOD HILLS Mrs Ellen DeGeneres AKA Portia DeRossiDeGeneres. Carrie Underwood's Husband Hints That The. Couple Could Be Heading For Divorceville


--- layout: home ---
This is a demo site for the Purpletual Blog Theme. The name I wanted to use was already taken so I decided on this instead as it's a mix of purple and purpetual.
This Jekyll theme is built using Tailwind CSS as an experiment to see what it can do.
This is a fork from Jekyll Starter Tailwind and is designed to be easily deployed to Netlify


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| BENEFIT | Bronze Plan | Silver Plan | Gold Plan | International Plan |
|
|---|---|---|---|---|---|
| MAXIMUM BENEFITS in any one year of insurance. | No Limit | No Limit | No Limit | No Limit | |
| A |
HOSPITAL & NURSING CHARGES
Nursing & Accom.- Inpatient or Day Care Patient. Operating Theatre & Recovery Room. Prescribed Medicines, Drugs & Dressings (whilst Inpatient or Day Care Patient) Nursing at Home (whilst under Specialist Care & for medical reasons). |
FULL PAYMENT | FULL PAYMENT | FULL PAYMENT | FULL PAYMENT |
| B |
SURGEON'S & ANAESTHETIST'S FEES For each operation including aftercare. |
FULL PAYMENT | FULL PAYMENT | FULL PAYMENT | FULL PAYMENT |
| C |
SPECIALIST PHYSICIANS FEES For regular attendance in a hospital or nursing home for up to 14 days. In the case of acute major illness, benefit for Intensive Care will be paid throughout. |
FULL PAYMENT | FULL PAYMENT | FULL PAYMENT | FULL PAYMENT |
| D | PHYSIOTHERAPY with the following annual limits. | £250 | £250 | NO LIMIT | NO LIMIT |
| E |
CONSULTATIONS, RADIOLOGY & PATHOLOGY with the following annual limits. |
£600 | £600 | NO LIMIT | NO LIMIT |
| F | RADIOTHERAPY, CHEMOTHERAPY & ONCOLOGY. | NO LIMIT | NO LIMIT | NO LIMIT | NO LIMIT |
| G |
HI-TECH DIAGNOSTIC PROCEDURES CT, MRI Scans, Coloured, Angiography, Micturating Cystogram, (Please contact Managed Care Consultants for up to date details). |
£500 per course of treatment £1000 pa max |
£500 per course of treatment £1000 pa max |
NO LIMIT | NO LIMIT | H |
ALTERNATIVE MEDICINE Consultation & Treatment for Acupunture, Osteopathy, Chiropractic & Homeopathy, by a registered practitioner upon referral by the patients General Practitioner, excluding Drugs. |
N/A | FULL PAYMENT | FULL PAYMENT | FULL PAYMENT |
| I |
NHS CASH BENEFIT SCHEME Payable for each night spent in an NHS hospital as an inpatient without charge. |
N/A |
£100 per night £3000 pa max |
£100 per night £3000 pa max |
£100 per night £3000 pa max |
| J |
CHILD HOSPITAL BENEFIT Cash payment, payable on 1st admission of child under 16 into a private or NHS hospital for 2 or more consecutive nights in any 1 year of cover. |
N/A | FULL PAYMENT | FULL PAYMENT | FULL PAYMENT |
| K |
PARENT ACCOMPANYING CHILD (under 16) In the same hospital up to 30 days in any 1 year of cover. |
N/A |
RESONABLE COST |
RESONABLE COST |
RESONABLE COST |
| L |
MATERNITY BENEFIT On birth, but not within the 1st year of cover. |
N/A | £100 | £100 | £100 |
| M |
TWINS BENEFIT On birth, but not within the 1st year of cover. |
N/A | £1000 | £1000 | £1000 |
| N |
PRIVATE AMBULANCE COVER With the following annual limit. |
N/A | £100 | £100 | £100 |
| O |
WORLDWIDE COVER MEDICAL COVER & TRAVEL INSURANCE * |
N/A | N/A | N/A |
AUTOMATIC INCLUSION |
* For full cover available with this section see separate schedule which includes comprehensive overseas medical assistance, repatriation, personal accident, personal liability, delay in departure, luggage delay, loss of luggage & personal money, cancellation & curtailment.
NOTE:- Where relevant, all cover relates to Preferred Hospitals unless alternative hospital are pre-authorised for reasons of medical necessity only all billing will be direct to Managed Care Consultants Ltd. where Preferred Hospitals are used. All cover is subject to the MEDICUS rules including pre-existing conditions. Please read these rules carefully if you believe you may have a pre-existing condition.


| DOSE: T+ 0:00 |
3.0 g |
oral |
Kratom |
(plant material) |
| T+ 0:30 |
3.0 g |
oral |
Kratom |
(plant material) |
I haven't done Kratom before, and thought 3 grams would be a good dose to start with, so I mixed it through a cup of chocolate milk and heated it in the microwave.
T 21:25 I ingested the cup of chocolate milk containing the Kratom. I didn't notice the bitter taste many people describe, it just tastes like chocolate milk always dose, the only difference is there's grounded up herbs floating in it.
T 21:47 I read that 3 grams of premium is a rather small amount, so I decide to redose and take the other 3 grams. I mix it through chocolate milk again, and heat it in the microwave.
T 21:55 I ingest a second cup of chocolate milk, containing 3 grams of premium Kratom. Total amount of premium Kratom ingested is 6 grams.
T 22:25 I don't feel much, almost nothing at all.
T 22:45 I'm finally feeling some of the warm opiate feeling, also, I'm more social, and just had a short conversation and really enjoyed it. The warm feeling is slightly increasing, and I'm also feeling relaxed. It's time to listen to some Coldplay and Massive attack.
T 23:00 I'm defenitavely feeling some of the warm opiate feeling, and pretty relaxed, listening to some Coldplay. Time also appears to fly, 15 minutes seems like just a couple of minutes. I don't think the feeling is going to increase much, which is a bit of a bummer for the price I had to pay for the Kratom, but I'm certainly going to order some more, and try a bigger dose next time.
T 23:15 I still feel the same as 15 minutes ago, though the feeling seems to fade away when I walk around. When I sit or lay down, the feeling starts to increase again, but fades away when I move around again.
T 23:30 The feeling seems to have faded, I'm feeling very little at the moment, though my mind is still a bit clouded.
I barely feel the warm opiate feeling I had earlier ago, the feeling appears to come up en fade away again after a while.
T 00:06 I'm feeling some of the warm feeling again, I'm going to grab a blanket, rap it around myself, and get cosy. On second though, I didn't grab the blanket, I just stayed on my chair, and continued surfing Drugs-forum.
T 00:50 I'm still feeling relaxed, but the warm feeling is gone, I'm practically at baseline. This experience wasn't as good as I hoped for, but I'm definetafely going to do it again with a higher dose.
T 01:23 I thought it was over, but some weird feeling is coming back again, I'm feeling weird in my stomach, I'm going to get a glass of milk.
T 02:24 I'm still feeling a bit 'weird', though no other effects are noticed.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Challenge Yourselves
http://jorb.in/lancaster
go vote jorb.in/lancaster
Challenges are opportunities
Failure is a Gift
Embrace Failure
Use Failure
TEAMS WIN!
Retrospective
What Went Right
What Went Wrong
Look Backwards
to
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Design
is an
iterative process
Success
is an
iterative process
GRIPI
Goals
Roles
Information
Process
Interpersonal


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I agree that this form is a sample and has no real world value


UFC Ring Girl Arianny Celeste Gets Soaking Wet In Skimpy Tiger-Print Bikini
November 16, 2019
UFC Ring Girl Arianny Celeste Gets Soaking Wet In Skimpy Tiger-Print Bikini
Arianny Celeste wowed her fans with another stunning bikini shot this week. The UFC ring girl looked smoking hot as she rocked a tiger-print two-piece in her latest Instagram update, which was posted on Saturday afternoon.
In the sexy snapshot, Arianny went full bombshell in her wild bikini, which boasted a high cut on the hip, and thin spaghetti straps on top. The Octagon girl left little to the imagination as she showcased her toned arms, ample bust, curvy hips, and rock-hard abs in the suit.
Arianny was soaking wet in the photo as beads of water can be seen rolling down her bikini-clad body. The model had her long, brown locks worn in straight strands and pushed them behind her head with her hands as she looked away from the camera.
The UFC fan favorite accessorized the look with some large gold hoop earrings, a bracelet around her wrist, and a necklace with her name on it.
She opted for a full glam makeup look in the shot, rocking defined eyebrows, long lashes, pink eye shadow, and a bronzed glow. She added to the application with a shimmering blush on her cheeks and a nude lip color.
Of course, Arianny’s over 3.2 million followers couldn’t get enough of the photo, leaving more than 200 comments and clicking the like button on the post over 16,000 times in the span of just two hours after it went live on the platform.
“You are Mother Nature herself. Amazing beauty my darling,” one of Arianny’s Instagram followers gushed in the comments section of the photo.
“What a wonderful woman,” another adoring fan wrote.
Loading...
“KWEEN OF NATURE! Hope you’re having an amazing and Happy Weekend my beautiful and gorgeous babe,” a third comment read.
“This Saturday just got better. Stunning as always,” a fourth social media user said.
As previously reported by The Inquisitr, just two days before posting photos from her tiger bikini photo shoot, Arianny got the pulses of her fans racing yet again in a pair of tight little black leather pants and a green crop top with sheer sleeves. To date, that photo has earned the model more than 22,000 likes and over 200 comments.
Arianny Celeste has become known for her sultry Instagram photos and her stunning good looks both in and out of The Octagon. Her followers love seeing what looks she’ll come up with next, and couldn’t be more excited when she posts a new update.


05. Finding the Lines: Search from Prior
Skip the sliding windows step once you've found the lines
Great work! You've now built an algorithm that uses sliding windows to track the lane lines out into the distance. However, using the full algorithm from before and starting fresh on every frame may seem inefficient, as the lane lines don't necessarily move a lot from frame to frame.
In the next frame of video you don't need to do a blind search again, but instead you can just search in a margin around the previous lane line position, like in the above image. The green shaded area shows where we searched for the lines this time. So, once you know where the lines are in one frame of video, you can do a highly targeted search for them in the next frame.
This is equivalent to using a customized region of interest for each frame of video, and should help you track the lanes through sharp curves and tricky conditions. If you lose track of the lines, go back to your sliding windows search or other method to rediscover them.
Let's walk through one way to do this, and then you'll build it out further in a quiz below.
Use the previous polynomial to skip the sliding window
In the previous quiz, we used left_lane_inds
and right_lane_inds
to hold the pixel values contained within the boundaries of a given sliding window. This time, we'll take the polynomial functions we fit before (left_fit
and right_fit
), along with a hyperparameter margin
, to determine which activated pixels fall into the green shaded areas from the above image. Note that this margin
can be a different value than the one originally used for your sliding windows!
To implement this in the below quiz, you'll want to grab only those pixels with x-values that are +/- your margin
from your polynomial lines. Note that you'll only need to implement left_lane_inds
and right_lane_inds
in the quiz - most of the surrounding code, ignoring iterating through the windows, is the same as before!
The way we'll visualize this is a bit different than last time around, however, so make sure to pay attention to that if you want to visualize this step while working on your project.
Quiz
In the below quiz, implement the following (see TO-DO
's):
- Fit a polynomial to all the relevant pixels you've found in your sliding windows in
fit_poly()
. - Set the area to search for activated pixels based on
margin
out from your fit polynomial withinsearch_around_poly
. Note that the quiz grader expects amargin
of100
pixels, but you can tune this as part of your own project!
Start Quiz:
import cv2
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
# Load our image - this should be a new frame since last time!
binary_warped = mpimg.imread('warped_example.jpg')
# Polynomial fit values from the previous frame
# Make sure to grab the actual values from the previous step in your project!
left_fit = np.array([ 2.13935315e-04, -3.77507980e-01, 4.76902175e+02])
right_fit = np.array([4.17622148e-04, -4.93848953e-01, 1.11806170e+03])
def fit_poly(img_shape, leftx, lefty, rightx, righty):
### TO-DO: Fit a second order polynomial to each with np.polyfit() ###
left_fit = None
right_fit = None
# Generate x and y values for plotting
ploty = np.linspace(0, img_shape[0]-1, img_shape[0])
### TO-DO: Calc both polynomials using ploty, left_fit and right_fit ###
left_fitx = None
right_fitx = None
return left_fitx, right_fitx, ploty
def search_around_poly(binary_warped):
# HYPERPARAMETER
# Choose the width of the margin around the previous polynomial to search
# The quiz grader expects 100 here, but feel free to tune on your own!
margin = 100
# Grab activated pixels
nonzero = binary_warped.nonzero()
nonzeroy = np.array(nonzero[0])
nonzerox = np.array(nonzero[1])
### TO-DO: Set the area of search based on activated x-values ###
### within the +/- margin of our polynomial function ###
### Hint: consider the window areas for the similarly named variables ###
### in the previous quiz, but change the windows to our new search area ###
left_lane_inds = None
right_lane_inds = None
# Again, extract left and right line pixel positions
leftx = nonzerox[left_lane_inds]
lefty = nonzeroy[left_lane_inds]
rightx = nonzerox[right_lane_inds]
righty = nonzeroy[right_lane_inds]
# Fit new polynomials
left_fitx, right_fitx, ploty = fit_poly(binary_warped.shape, leftx, lefty, rightx, righty)
## Visualization ##
# Create an image to draw on and an image to show the selection window
out_img = np.dstack((binary_warped, binary_warped, binary_warped))*255
window_img = np.zeros_like(out_img)
# Color in left and right line pixels
out_img[nonzeroy[left_lane_inds], nonzerox[left_lane_inds]] = [255, 0, 0]
out_img[nonzeroy[right_lane_inds], nonzerox[right_lane_inds]] = [0, 0, 255]
# Generate a polygon to illustrate the search window area
# And recast the x and y points into usable format for cv2.fillPoly()
left_line_window1 = np.array([np.transpose(np.vstack([left_fitx-margin, ploty]))])
left_line_window2 = np.array([np.flipud(np.transpose(np.vstack([left_fitx+margin,
ploty])))])
left_line_pts = np.hstack((left_line_window1, left_line_window2))
right_line_window1 = np.array([np.transpose(np.vstack([right_fitx-margin, ploty]))])
right_line_window2 = np.array([np.flipud(np.transpose(np.vstack([right_fitx+margin,
ploty])))])
right_line_pts = np.hstack((right_line_window1, right_line_window2))
# Draw the lane onto the warped blank image
cv2.fillPoly(window_img, np.int_([left_line_pts]), (0,255, 0))
cv2.fillPoly(window_img, np.int_([right_line_pts]), (0,255, 0))
result = cv2.addWeighted(out_img, 1, window_img, 0.3, 0)
# Plot the polynomial lines onto the image
plt.plot(left_fitx, ploty, color='yellow')
plt.plot(right_fitx, ploty, color='yellow')
## End visualization steps ##
return result
# Run image through the pipeline
# Note that in your project, you'll also want to feed in the previous fits
result = search_around_poly(binary_warped)
# View your output
plt.imshow(result)
import cv2
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
# Load our image - this should be a new frame since last time!
binary_warped = mpimg.imread('warped_example.jpg')
# Polynomial fit values from the previous frame
# Make sure to grab the actual values from the previous step in your project!
left_fit = np.array([ 2.13935315e-04, -3.77507980e-01, 4.76902175e+02])
right_fit = np.array([4.17622148e-04, -4.93848953e-01, 1.11806170e+03])
def fit_poly(img_shape, leftx, lefty, rightx, righty):
### TO-DO: Fit a second order polynomial to each with np.polyfit() ###
left_fit = np.polyfit(lefty, leftx, 2)
right_fit = np.polyfit(righty, rightx, 2)
# Generate x and y values for plotting
ploty = np.linspace(0, img_shape[0]-1, img_shape[0])
### TO-DO: Calc both polynomials using ploty, left_fit and right_fit ###
left_fitx = left_fit[0]*ploty**2 + left_fit[1]*ploty + left_fit[2]
right_fitx = right_fit[0]*ploty**2 + right_fit[1]*ploty + right_fit[2]
return left_fitx, right_fitx, ploty
def search_around_poly(binary_warped):
# HYPERPARAMETER
# Choose the width of the margin around the previous polynomial to search
# The quiz grader expects 100 here, but feel free to tune on your own!
margin = 100
# Grab activated pixels
nonzero = binary_warped.nonzero()
nonzeroy = np.array(nonzero[0])
nonzerox = np.array(nonzero[1])
### TO-DO: Set the area of search based on activated x-values ###
### within the +/- margin of our polynomial function ###
### Hint: consider the window areas for the similarly named variables ###
### in the previous quiz, but change the windows to our new search area ###
left_lane_inds = ((nonzerox > (left_fit[0]*(nonzeroy**2) + left_fit[1]*nonzeroy +
left_fit[2] - margin)) & (nonzerox < (left_fit[0]*(nonzeroy**2) +
left_fit[1]*nonzeroy + left_fit[2] + margin)))
right_lane_inds = ((nonzerox > (right_fit[0]*(nonzeroy**2) + right_fit[1]*nonzeroy +
right_fit[2] - margin)) & (nonzerox < (right_fit[0]*(nonzeroy**2) +
right_fit[1]*nonzeroy + right_fit[2] + margin)))
# Again, extract left and right line pixel positions
leftx = nonzerox[left_lane_inds]
lefty = nonzeroy[left_lane_inds]
rightx = nonzerox[right_lane_inds]
righty = nonzeroy[right_lane_inds]
# Fit new polynomials
left_fitx, right_fitx, ploty = fit_poly(binary_warped.shape, leftx, lefty, rightx, righty)
## Visualization ##
# Create an image to draw on and an image to show the selection window
out_img = np.dstack((binary_warped, binary_warped, binary_warped))*255
window_img = np.zeros_like(out_img)
# Color in left and right line pixels
out_img[nonzeroy[left_lane_inds], nonzerox[left_lane_inds]] = [255, 0, 0]
out_img[nonzeroy[right_lane_inds], nonzerox[right_lane_inds]] = [0, 0, 255]
# Generate a polygon to illustrate the search window area
# And recast the x and y points into usable format for cv2.fillPoly()
left_line_window1 = np.array([np.transpose(np.vstack([left_fitx-margin, ploty]))])
left_line_window2 = np.array([np.flipud(np.transpose(np.vstack([left_fitx+margin,
ploty])))])
left_line_pts = np.hstack((left_line_window1, left_line_window2))
right_line_window1 = np.array([np.transpose(np.vstack([right_fitx-margin, ploty]))])
right_line_window2 = np.array([np.flipud(np.transpose(np.vstack([right_fitx+margin,
ploty])))])
right_line_pts = np.hstack((right_line_window1, right_line_window2))
# Draw the lane onto the warped blank image
cv2.fillPoly(window_img, np.int_([left_line_pts]), (0,255, 0))
cv2.fillPoly(window_img, np.int_([right_line_pts]), (0,255, 0))
result = cv2.addWeighted(out_img, 1, window_img, 0.3, 0)
# Plot the polynomial lines onto the image
plt.plot(left_fitx, ploty, color='yellow')
plt.plot(right_fitx, ploty, color='yellow')
## End visualization steps ##
return result
# Run image through the pipeline
# Note that in your project, you'll also want to feed in the previous fits
result = search_around_poly(binary_warped)
# View your output
plt.imshow(result)
Fitting on Large Curves
One thing to consider in our current implementation of sliding window search is what happens when we arrive at the left or right edge of an image, such as when there is a large curve on the road ahead. If minpix
is not achieved (i.e. the curve ran off the image), the starting position of our next window doesn't change, so it is just positioned directly above the previous window. This will repeat for however many windows are left in nwindows
, stacking the sliding windows vertically against the side of the image, and likely leading to an imperfect polynomial fit.
Can you think of a way to solve this issue? If you want to tackle the curves on the harder challenge video as part of the project, you might want to include this in your lane finding algorithm.


IEEE Region 5 Conference and
TechCon'98 Keynote Speakers
TechCon'98 Luncheon Keynote,
Noon-1:30pm, Friday, 17th.
A New-Age Perspective:
The Entrepreneurial Engineer
by
Michael R. Wilkinson
President and Founder,
Paragon Innovations Inc.
Abstract: Entrepreneuring, outsourcing, internal business
units. The concept of the "virtual organization" is already creating
new opportunities and defining new ways of doing business. After the year
2000, successful engineers may need to have much in common with successful
entrepreneurs. Optimistic about the future and about engineering, Michael
shares some of his secrets for New Age survival. With this knowledge, perhaps
we can avoid the harder lessons he learned along the way.
Founded in 1990, Paragon Innovations has become one of the fastest growing
providers of embedded systems development and technical services. Its customers
include such giants as Advanced Micro Devices, Hitachi America Ltd., and
Matsushita/Panasonic.
Biography: Wilkinson graduated from Texas A&M in
1986 with an electrical engineering technology degree and entered the job
market, working in research and development. Four years later, he vigorously
pursued a vision, founding Paragon Innovations. The rest is straight Horatio
Alger!
Wilkinson has been profiled or quoted in the Dallas Business Journal,
EE Times and Electronic Buyers News. Active in the American Electronics
Association (AEA), he serves as chairman of the North Texas CEO chapter.
He is a member of the Institute of Electrical and Electronic Engineers
(IEEE); the Dallas/Fort Worth UNIX User's Group; and the Richardson Chamber
of Commerce, where he co-chairs the Technology Business Council Software
Roundtable.
Return to TechCon'98 or Region
5 Conference Page
Region 5 Conference Luncheon
Keynote, Noon-1:30pm, Saturday, 18th.
Egyptian Engineering
Ingenuity
by
Clair Russell Ossian,
Ph.D.
Abstract: By any standards, ancient Egyptians were very
successful in solving complex engineering problems. These highly innovative
people lacked iron and steel, had no huge earth-moving machinery, did not
operate lifting or cutting equipment using electric power, and performed
their work without that mainstay of modern engineering - the computer.
In spite of this, they built pyramids and temples that remain the marvel
of both ancient and modern worlds.
Engineering is almost always about solving difficult problems. It is
about innovative thinking in the use of resources. This overview surveys
some of the technical barriers that faced the ancient Egyptians and shows
how they built a complex society using alternative solutions.
Biography: With over 20 years of experience, Dr. Ossian has
led project teams in Gabon, Congo (West Africa), the eastern Java Sea (Indonesia),
China (P.R.C.), Eastern Canada, Alaska North Slope, Texas and Louisiana.
He has conducted seminars in China and published over 55 papers on geology,
botany, and Egyptology. He is currently writing a book on Egyptology.
Dr. Ossian is a member of the American Association for the Advancement
of Science and is a Fellow of Sigma Xi National Scientific Honors Society.
He is President, North Texas Chapter-American Research Center in Egypt
and a member of the Egyptian Exploration Society.
Current and former activities include consulting as President, The
OSSIAN Group; teaching as a Faculty Member, Tarrant County Junior College;
studies and projects as a Certified Principal Research Geologist for the
ATLANTIC RICHFIELD COMPANY. He is a member of the American Orchid and Paleontological
Societies.
Return to TechCon'98 or Region
5 Conference Page
Region
5 Conference Banquet Keynote, 7:30-9:00pm, Saturday, 18th
Engineering - New
Perspectives for a New Millenium
by
Douglas R. Bowman, PhD,
P.E.
Director of Electronics
and Information Technology
Lockheed Martin Corporation
Abstract: A perspective for understanding the engineering
of today is carefully built upon a framework of historical accomplishments.
This presentation plunges us headlong into facing some of the hardest questions
of our times. What challenges await our brightest and best as we enter
the 21st century? What new products will be produced? Will new materials,
new methods, and new tools change the way we do engineering? What engineering
skills will be most valued? An exciting aural-visual excursion into the
future!
Biography: A graduate of the U.S. Military Academy and
Stanford University, Dr. Bowman has served as Officer-in-Charge of the
strategic communications facility supporting U.S. Army Europe, on the faculty
of the Department of Electrical Engineering at West Point, as Engineering
Manager for the GE Aerospace Defense Mapping Agency (now NIMA) programs,
and is currently Lockheed Martin's Corporate Director of Electronics and
Information Technology. In this current role, he is tasked with assessing
the scientific and engineering excellence of the Lockheed Martin Corporation
in electronics and information technology, placing particular emphasis
on the identification of emerging technologies and the processes necessary
for growth in the Corporation's lines of business.
A senior member of the IEEE and member of the AIAA, Dr. Bowman holds
two patents for optoelectronic device fabrication and has published papers
on high-speed optoelectronic sampling, computer networking, and engineering
education. He is a registered professional engineer and serves as an IEEE
ABET program evaluator, a member of the AIAA Systems Engineering Technical
Committee, on the Research Advisory Committee of the Institute for Systems
Research at the University of Maryland, the Advisory Board of the Johns
Hopkins University Department of Electrical and Computer Engineering, and
the National Society of Professional Engineers Industry Advisory Group.
He is also a member of the Board of Directors of the Microelectronics and
Computer Technologies Corporation.
Dr. Bowman lives in northern Virginia with his wife, Trish, and two
children, Christopher and Jennifer. In his spare time he enjoys reading,
traveling, and working on his model railroad.
Return to TechCon'98 or Region
5 Conference Page


Relationship of student with a company helps the individual to get the confidence of learning leadership skills, Presenting and Managing teams. a student will be provided with all sort of support from the company to make him as a tech rock star.
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const ( // Path separator is used to separate policy names in paths PathSeparator = "/" // ChannelPrefix is used in the path of standard channel policy managers ChannelPrefix = "Channel" // ApplicationPrefix is used in the path of standard application policy paths ApplicationPrefix = "Application" // OrdererPrefix is used in the path of standard orderer policy paths OrdererPrefix = "Orderer" // ChannelReaders is the label for the channel's readers policy (encompassing both orderer and application readers) ChannelReaders = PathSeparator + ChannelPrefix + PathSeparator + "Readers" // ChannelWriters is the label for the channel's writers policy (encompassing both orderer and application writers) ChannelWriters = PathSeparator + ChannelPrefix + PathSeparator + "Writers" // ChannelApplicationReaders is the label for the channel's application readers policy ChannelApplicationReaders = PathSeparator + ChannelPrefix + PathSeparator + ApplicationPrefix + PathSeparator + "Readers" // ChannelApplicationWriters is the label for the channel's application writers policy ChannelApplicationWriters = PathSeparator + ChannelPrefix + PathSeparator + ApplicationPrefix + PathSeparator + "Writers" // ChannelApplicationAdmins is the label for the channel's application admin policy ChannelApplicationAdmins = PathSeparator + ChannelPrefix + PathSeparator + ApplicationPrefix + PathSeparator + "Admins" // BlockValidation is the label for the policy which should validate the block signatures for the channel BlockValidation = PathSeparator + ChannelPrefix + PathSeparator + OrdererPrefix + PathSeparator + "BlockValidation" // ChannelOrdererAdmins is the label for the channel's orderer admin policy ChannelOrdererAdmins = PathSeparator + ChannelPrefix + PathSeparator + OrdererPrefix + PathSeparator + "Admins" // ChannelOrdererWriters is the label for the channel's orderer writers policy ChannelOrdererWriters = PathSeparator + ChannelPrefix + PathSeparator + OrdererPrefix + PathSeparator + "Writers" // ChannelOrdererReaders is the label for the channel's orderer readers policy ChannelOrdererReaders = PathSeparator + ChannelPrefix + PathSeparator + OrdererPrefix + PathSeparator + "Readers" )
func ImplicitMetaFromString(input string) (*cb.ImplicitMetaPolicy, error)
func ImplicitMetaPolicyWithSubPolicy(subPolicyName string, rule cb.ImplicitMetaPolicy_Rule) *cb.ConfigPolicy
ImplicitMetaPolicyWithSubPolicy creates an implicitmeta policy
func TemplateImplicitMetaAllPolicy(path []string, policyName string) *cb.ConfigGroup
TempateImplicitMetaAnyPolicy returns TemplateImplicitMetaPolicy with cb.ImplicitMetaPolicy_ALL as the rule
func TemplateImplicitMetaAnyPolicy(path []string, policyName string) *cb.ConfigGroup
TempateImplicitMetaAnyPolicy returns TemplateImplicitMetaPolicy with cb.ImplicitMetaPolicy_ANY as the rule
func TemplateImplicitMetaMajorityPolicy(path []string, policyName string) *cb.ConfigGroup
TempateImplicitMetaAnyPolicy returns TemplateImplicitMetaPolicy with cb.ImplicitMetaPolicy_MAJORITY as the rule
func TemplateImplicitMetaPolicy(path []string, policyName string, rule cb.ImplicitMetaPolicy_Rule) *cb.ConfigGroup
TemplateImplicitMetaPolicy creates a policy at the specified path with the given policyName It utilizes the policyName for the subPolicyName as well, as this is the standard usage pattern
func TemplateImplicitMetaPolicyWithSubPolicy(path []string, policyName string, subPolicyName string, rule cb.ImplicitMetaPolicy_Rule) *cb.ConfigGroup
TemplateImplicitMetaPolicy creates a policy at the specified path with the given policyName and subPolicyName
ChannelPolicyManagerGetter is a support interface to get access to the policy manager of a given channel
type ChannelPolicyManagerGetter interface { // Returns the policy manager associated to the passed channel // and true if it was the manager requested, or false if it is the default manager Manager(channelID string) (Manager, bool) }
ConfigPolicy defines a common representation for different *cb.ConfigPolicy values.
type ConfigPolicy interface { // Key is the key this value should be stored in the *cb.ConfigGroup.Policies map. Key() string // Value is the backing policy implementation for this ConfigPolicy Value() *cb.Policy }
InquireablePolicy is a Policy that one can inquire
type InquireablePolicy interface { // SatisfiedBy returns a slice of PrincipalSets that each of them // satisfies the policy. SatisfiedBy() []PrincipalSet }
Manager is a read only subset of the policy ManagerImpl
type Manager interface { // GetPolicy returns a policy and true if it was the policy requested, or false if it is the default policy GetPolicy(id string) (Policy, bool) // Manager returns the sub-policy manager for a given path and whether it exists Manager(path []string) (Manager, bool) }
ManagerImpl is an implementation of Manager and configtx.ConfigHandler In general, it should only be referenced as an Impl for the configtx.ConfigManager
type ManagerImpl struct {
// contains filtered or unexported fields
}
func NewManagerImpl(path string, providers map[int32]Provider, root *cb.ConfigGroup) (*ManagerImpl, error)
NewManagerImpl creates a new ManagerImpl with the given CryptoHelper
func (pm *ManagerImpl) GetPolicy(id string) (Policy, bool)
GetPolicy returns a policy and true if it was the policy requested, or false if it is the default reject policy
func (pm *ManagerImpl) Manager(path []string) (Manager, bool)
Manager returns the sub-policy manager for a given path and whether it exists
Policy is used to determine if a signature is valid
type Policy interface { // Evaluate takes a set of SignedData and evaluates whether this set of signatures satisfies the policy Evaluate(signatureSet []*cb.SignedData) error }
PrincipalSet is a collection of MSPPrincipals
type PrincipalSet []*msp.MSPPrincipal
func (ps PrincipalSet) ContainingOnly(f func(*msp.MSPPrincipal) bool) bool
ContainingOnly returns whether the given PrincipalSet contains only Principals that satisfy the given predicate
func (ps PrincipalSet) UniqueSet() map[*msp.MSPPrincipal]int
UniqueSet returns a histogram that is induced by the PrincipalSet
PrincipalSets aggregates PrincipalSets
type PrincipalSets []PrincipalSet
func (psSets PrincipalSets) ContainingOnly(f func(*msp.MSPPrincipal) bool) PrincipalSets
ContainingOnly returns PrincipalSets that contain only principals of the given predicate
Provider provides the backing implementation of a policy
type Provider interface { // NewPolicy creates a new policy based on the policy bytes NewPolicy(data []byte) (Policy, proto.Message, error) }
StandardConfigValue implements the ConfigValue interface.
type StandardConfigPolicy struct {
// contains filtered or unexported fields
}
func ImplicitMetaAllPolicy(policyName string) *StandardConfigPolicy
ImplicitMetaAllPolicy defines an implicit meta policy whose sub_policy and key is policyname with rule ALL.
func ImplicitMetaAnyPolicy(policyName string) *StandardConfigPolicy
ImplicitMetaAnyPolicy defines an implicit meta policy whose sub_policy and key is policyname with rule ANY.
func ImplicitMetaMajorityPolicy(policyName string) *StandardConfigPolicy
ImplicitMetaMajorityPolicy defines an implicit meta policy whose sub_policy and key is policyname with rule MAJORITY.
func SignaturePolicy(policyName string, sigPolicy *cb.SignaturePolicyEnvelope) *StandardConfigPolicy
ImplicitMetaMajorityPolicy defines a policy with key policyName and the given signature policy.
func (scv *StandardConfigPolicy) Key() string
Key is the key this value should be stored in the *cb.ConfigGroup.Values map.
func (scv *StandardConfigPolicy) Value() *cb.Policy
Value is the *cb.Policy which should be stored as the *cb.ConfigPolicy.Policy.


Winery UVA
"Without doubt of the most consistently high quality wineries in the Barossa region"
-Pop Francies - Respected Sommelier
"Without doubt of the most consistently high quality wineries in the Barossa region"
-Pop Francies - Respected Sommelier
• EST . 1954 •
I really want some biryani, but there is none cause no one made and I am so hungry but that is okay being hungry is part of life but what is amazing is that biryani is part of life too. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla ac sapien at leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla ac sapien at leo.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla ac sapien at leo. I really want some biryani. I hope this look very pleasing to my very tired slowly dying eyes.
Aged five areas in solid, frnech oak barrels and sports notes of pepper and blackberry
Visit ShopAged five areas in solid, frnech oak barrels and sports notes of pepper and blackberry
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The sounds for this game were sourced from http://www.freesound.org. Sounds used were available as Public Domain. See http://creativecommons.org/publicdomain/zero/1.0/ for further information. With the exception of those detailed below. Thanks to the creators of all of these sounds.
Background Music Setuniman http://www.freesound.org/people/Setuniman/ easy 1c85f http://www.freesound.org CC BY-NC 3.0 http://creativecommons.org/licenses/by-nc/3.0/
Eating an animal Ighuaran http://www.freesound.org/people/Ighuaran/ Disgusting Slop http://www.freesound.org CC BY 3.0 http://creativecommons.org/licenses/by/3.0/
Frog Sound h.quinius http://www.freesound.org/people/h.quinius/ frog melody.aif http://www.freesound.org Sampling Plus 1.0 http://creativecommons.org/licenses/sampling+/1.0/


Sections in this article
MyCoin in CryptoAssets library
The @ledgerhq/cryptoassets package contains all definitions of cryptoassets that could be useful to Ledger Live.
Ledger Live deals with different kinds of currencies and assets: fiat currencies, cryptocurrencies, and tokens. They all share similar concepts but have specifics, which are defined as a Currency model.
All types can be found in @ledgerhq/cryptoassets/src/types.js
The Currency model
Essentially all currencies share this common ground:
name: string
: the display name of a currency. For instance"Bitcoin"
or"Euro"
.ticker: string
: the ticker name in exchanges and used for rates (for instance BTC or EUR).countervalueTicker?: string
: an alias for the ticker (or alternative ticker)units: Unit[]
: all availableUnit
of the currency (see below what is a Unit). by convention, [0] is the default and has the “highest” magnitude.disableCountervalue?: boolean
: if available, this field expresses that we should assume there is not valid counter value for this coin. (because either we can’t trade it or it’s not available enough to assume enabling its value)symbol?: string
: if available, it’s a short symbol for the coin. in practice it’s currently not used and might be dropped.
Unit
type Unit = {
// display name of a given unit (example: satoshi)
name: string,
// string to use when formatting the unit. like 'BTC' or 'USD'
code: string,
// number of digits after the '.' in context of this unit.
magnitude: number,
// should it always print all digits even if they are 0 (usually: true for fiats, false for cryptos)
showAllDigits?: boolean
};
A unit describes a given representation of a currency for humans. A currency can have many units, for instance, we can assume Euro have euros and cents. We can define Bitcoin to have: bitcoin, mBTC, bit, satoshi (but that’s up to us really).
There are however two essential properties we must respect:
- the first unit (
[0]
) in an array of units is the highest unit, typically the default and commonly used unit (euro, bitcoin) - the last unit must have a magnitude of 0: it is the smallest unit which in fine determines the magnitude of the coin (the most atomic unit representable in this currency) and drives integers representation.
Here is an example of Bitcoin units:
[
{
name: "bitcoin",
code: "BTC",
magnitude: 8
},
{
name: "mBTC",
code: "mBTC",
magnitude: 5
},
{
name: "bit",
code: "bit",
magnitude: 2
},
{
name: "satoshi",
code: "sat",
magnitude: 0
}
];
The field showAllDigits
is generally unset for all cryptocurrencies and set for fiat currencies to true (but there are exceptions). It forces a unit to display all digits even if it’s all zeros.
We don’t want showAllDigits for currencies because they generally have a lot of magnitudes, for instance, Ethereum has 18 which would turn ETH 42.100000000000000000
. Instead, we want ETH 42.1
.
At the opposite, it is commonly wanted that for popular fiats like EUR we will always display EUR 42.10
and never EUR 42.1
.
In live-common, our formatter is implemented by formatCurrencyUnit
which takes a BigNumber value and a Unit (and many other options available).
CryptoCurrency specific fields
The crypto currency level introduces many fields that are exclusively specific to crypto currency.
type CryptoCurrency = CurrencyCommon & {
type: "CryptoCurrency",
// unique internal id of a crypto currency
id: string,
// define if a crypto is a fork from another coin. helps dealing with split/unsplit
forkedFrom?: string,
// name of the app as shown in the Manager
managerAppName: string,
// coin type according to slip44. THIS IS NOT GUARANTEED UNIQUE across currencies (e.g testnets,..)
coinType: number,
// the scheme name to use when formatting an URI (without the ':')
scheme: string,
// used for UI
color: string,
// a name for implementation (some coins share a common implementation like bitcoin or ethereum) - corresponds to live-common family folder name
family: string,
// the expected time of a block
blockAvgTime?: number, // in seconds
supportsSegwit?: boolean,
supportsNativeSegwit?: boolean,
// if defined this coin is a testnet for another crypto (id)};
isTestnetFor?: string,
// should be defined for bitcoin family
bitcoinLikeInfo?: {
P2PKH: number,
P2SH: number
},
// should be defined for ethereum family
ethereumLikeInfo?: {
chainId: number
},
explorerViews: ExplorerView[],
terminated?: {
link: string
}
};
Note: CoinType is generally found in https://github.com/satoshilabs/slips/blob/master/slip-0044.md, although unicity is not quaranteed across networks (testnets, etc…).
ExplorerView
You can define one or many explorers with urls, which will be used for external links in Ledger Live.
type ExplorerView = {
// url for transaction with $hash param
tx?: string,
// url for address with $address param
address?: string,
// url for a token with $contractAddress and $address params
token?: string
};
Note: Find a reliable explorer. If you find more than one explorer, list them from most to less popular. Ledger Live will likely use the first explorer as default.
TokenCurrency specific fields
Tokens are also available through the cryptoassets package. ERC20, TRC10 and TRC20 tokens are automatically maintained on a regular basis. But if your blockchain supports tokens and you would like to add them, feel free to contact us.
type TokenCurrency = CurrencyCommon & {
type: "TokenCurrency",
id: string,
ledgerSignature?: string,
contractAddress: string,
// the currency it belongs to. e.g. 'ethereum'
parentCurrency: CryptoCurrency,
// the type of token in the blockchain it belongs. e.g. 'erc20'
tokenType: string
};
Adding MyCoin
Ensure that before integrating your coin to Ledger Live, your coin is well defined in @ledgerhq/cryptoassets/src/currencies.js
mycoin: {
type: "CryptoCurrency",
id: "mycoin",
coinType: 8008, // The slip-0044 coin type if registered
name: "MyCoin",
managerAppName: "MyCoin", // name of the nano app in manager case-sensitive
ticker: "MYC",
countervalueTicker: "MYC", // depending on the counter value api
scheme: "mycoin",
color: "#E6007A", // color to be display on live-desktop and mobile
family: "mycoin", // folder name in the live-common / desktop and mobile
units: [
{
name: "MYC",
code: "MYC",
magnitude: 8,
},
{
name: "SmallestUnit",
code: "SMALLESTUNIT",
magnitude: 0,
},
],
explorerViews: [
{
address: "https://mycoinexplorer.com/account/$address", // url for exploring an address
tx: "https://mycoinexplorer.com/transaction/$hash", // url for exploring a transaction
token: "https://mycoinexplorer.com/token/$contractAddress/?a=$address", // url for exploring a token address
},
],
},


Set Class
Constructor
Set
(
-
boundarySettings
-
condition Optional.
-
elems Optional.
Parameters:
-
boundarySettings
Object -
condition Optional.
FunctionIf given, the created Set will bounded by that condition
-
elems Optional.
ArrayThis parameter serves as elements for the new Set. They will be in the new Set immediately. It is an array of comparable elements (that means if
mathJS.isComparable() === true
); non-comparables will be ignored.
Item Index
Methods
- clearCache
- createInterval static
- get
Methods
clearCache
(
chainable
-
cache
Empty the cache or reset to given cache.
Parameters:
-
cache
Object
Returns:

mathJS.Function

createInterval
(
static
-
leftOpen
-
leftValue
-
rightValue
-
rightOpen
Optionally the left and right configuration can be passed directly (each with an open- and value-property) or the Interval can be parsed from String (like "(2, 6 ]").


This plugin transforms links like <a data-myattr="account,domain.com"<EMAIL_ADDRESS>into<EMAIL_ADDRESS>Use emails wherever in your doc:
You can use it as many times as you want in your document. You may also use chaining if needed, for example to style mailto links differently.
Download source


Hover over a Property or Method for an example and click to go to the MDN documentation
The length property represents an unsigned, 32-bit integer that is always numerically greater than the highest index in the array.
var example = [1, 2, 3, 4, 5];
console.log(example.length);
Output:
5
The concat() method returns a new array comprised of the array on which it is called joined with the array(s) and/or value(s) provided as arguments.
var alpha = ['a', 'b', 'c'];
var numeric = [1, 2, 3];
console.log(alpha.concat(numeric));
Output:
['a', 'b', 'c', 1, 2, 3]
The join() method joins all elements of an array into a string.
var a = ['Wind', 'Rain', 'Fire'];
console.log(a.join(''));
console.log(a.join(', '));
Output:
['WindRainFire']
['Wind, Rain, Fire']
The map() method creates a new array with the results of calling a provided function on every element in this array.
var numbers = [1, 4, 9];
var roots = numbers.map(Math.sqrt);
console.log(roots);
console.log(numbers);
Output:
[1, 2, 3]
[1, 4, 9]
The pop() method removes the last element from an array and returns that element.
var myFish = ['angel', 'clown', 'mandarin', 'sturgeon'];
console.log(myFish);
var popped = myFish.pop();
console.log(myFish);
console.log(popped);
Output:
['angel', 'clown', 'mandarin', 'sturgeon']
['angel', 'clown', 'mandarin']
['sturgeon']
The push() method adds one or more elements to the end of an array and returns the new length of the array.
var sports = ['soccer', 'baseball'];
var total = sports.push('football', 'swimming');
console.log(sports);
console.log(total);
Output:
['soccer', 'baseball', 'football', 'baseball']
4
The reduce() method applies a function against an accumulator and each value of the array (from left-to-right) to reduce it to a single value.
var total = [0, 1, 2, 3].reduce(function(a, b) {
return a + b;
});
console.log(total);
Output:
6
The reverse() method reverses an array in place. The first array element becomes the last and the last becomes the first.
var myArray = ['one', 'two', 'three'];
console.log(myArray.reverse());
Output:
['three', 'two', 'one']
The shift() method removes the first element from an array and returns that element. This method changes the length of the array.
var myFish = ['angel', 'clown', 'mandarin', 'sturgeon'];
console.log('myFish before: ' + myFish);
var shifted = myFish.shift();
console.log('myFish after: ' + myFish);
console.log('Removed this element: ' + shifted);
Output:
myFish before: angel,clown,mandarin,surgeon
myFish after: clown,mandarin,surgeon
Removed this element: angel
The sort() method sorts the elements of an array in place and returns the array. The sort is not necessarily stable. The default sort order is according to string Unicode code points.
var scores = [5, 1, 9, 4, 10];
console.log(scores.sort());
Output:
[1, 10, 4, 5, 9]
The toString() method returns a string representing the specified array and its elements.
var monthNames = ['Jan', 'Feb', 'Mar', 'Apr'];
console.log(monthNames.toString());
Output:
Jan,Feb,Mar,Apr
The length property represents the length of a string.
var example = 'This is an example';
console.log(example 'has ' + example.length + ' characters.');
Output:
This is an example has 18 characters.
The charAt() method returns the specified character from a string.
var anyString = 'Brave new world';
console.log("The character at index 0 is '" + anyString.charAt(0) + "'");
console.log("The character at index 999 is '" + anyString.charAt(999) + "'");
Output:
The character at index 0 is 'B'
The character at index 999 is ''
The concat() method combines the text of two or more strings and returns a new string.
var hello = 'Hello, ';
console.log(hello.concat('Kevin', ' have a nice day'));
Output:
Hello, Kevin have a nice day.
The includes() method determines whether one string may be found within another string, returning true or false as appropriate.
var str = 'To be, or not to be, that is the question.';
console.log(str.includes('To be'));
console.log(str.includes('nonexistent'));
Output:
True
False
The slice() method extracts a section of a string and returns a new string.
var str = 'The morning is upon us.';
console.log(str.slice(4, -2));
console.log(str.slice(0, -1));
Output:
morning is upon u
The morning is upon us
The split() method splits a String object into an array of strings by separating the string into substrings.
var myString = 'Hello World!';
console.log(myString.split(''));
Output:
['H','e','l','l','o',' ','W','o','r','l','d','!']
Reversing a String using split()
console.log(myString.split('').reverse().join(''));
Output:
!dlroW olleH
The toLowerCase() method returns the calling string value converted to lowercase.
console.log('ALPHABET'.toLowerCase());
Output:
alphabet
The toUpperCase() method returns the calling string value converted to uppercase.
console.log('alphabet'.toUpperCase());
Output:
ALPHABET
The trim() method removes whitespace from both ends of a string. Whitespace in this context is all the whitespace characters (space, tab, no-break space, etc.) and all the line terminator characters (LF, CR, etc.).
var orig = ' Hello World ';
console.log(orig.trim());
Output:
Hello World


Special events like House hold Parties; Lazeez-E-Niyaz will make you remember your traditional roots.
What is Special Event?
Are you planning a special event like an anniversary party, Birthday party, or a holiday party you want
everyone to remember? Look no further than Lazeez-E-Niyaz! We are considered one of the top special
events caterers in Bangalore for a number of reasons. The quality of our cuisine is fantastic. Our
service is excellent. Our sense of what our clients want in an event is uncanny.
Crystal Menu
This is very basic package offered by Lazeez-E- Niyaz, which includes limited number of Dishes with
reasonable price. But the quality standard will be same as set by Lazeez-E- Niyaz.
Silver Menu
This package includes all the dishes offered in Crystal package but few extra delicious dishes will
included as well to make your appetite worthier.
Gold Menu
As the name suggests, The Gold package will offer you the tastiest and more delicious dishes which
on tasting, you will feel the Love with which our highly experienced chefs put in to prepare the
dishes.
Diamond
Menu
This is a best-in- class package offered by Lazeez-E- Niyaz team, to make your presence very special
after which this package will make a long lasting impression. You might want to visit again.


Paddle will transfer the files to the email account that you have used to order. Then download it from your email.
The sections are compressed to .zip format. Unpack them and open it with your code editor.
Follow up the instructions given by Tailwind CSS or Bootstrap 5 for a better development experience.


Familiar with, yet intrigued by older technology?
Obsessed with the DOS aesthetic, but forty years too late?
Codebreaker is the game that will bring you back to the
80s in a retro logic challenge.
Play the classic code-cracking game against the computer.
Test yourself to beat your best score, time, or your friends!
An exciting, yet minimalistic game that makes
anyone feel like a true hacker.
Frequent updates keep the game fresh with
new gimmicks and features!


Booking
Your Names
Email Address
Telephone / Mobile
Adult Guests
Child Guests
Check-in Date
Check-out Date
Questions & Comments
Please:
Be as descriptive as possible


{% extends 'base.html' %} {% block content %}
Doggofier is a web application that allows an user to upload JPEG photo of a dog and CNN running in the background would predict a breed of the dog with certain confidence. As a main deep learning technology PyTorch framework was used with its supporting library Torchvision for computer vision tasks. For experiments two popular architectures were chosen: ResNet-50 and VGG-16, both pretrained on the ImageNet dataset and fine-tuned on the Tsinghua Dogs dataset with customized classifiers. Also the experimentation interface was prepared so it's possible to easily add a new model and train it from the command line with hyperparamters specified in JSON file. The application itself was developed with the usage of Flask framework and contenerized in Docker to isolate the whole environment. Eventually deployment to Heroku was performed with Gunicorn as a WSGI server.
The Tsinghua Dogs is an image dataset for fine-grained classification of dog breeds. It includes 130 categories and over 70,000 images, 65% of them are collected from people's real life. Each category contains at least 200 images and a maximum of 7,449 images. In comparison to similar datasets, it has more categories and more carefully chosen images for each category. Additionally, the dataset is annotated with bounding boxes of the dog's body and head in each image, which can be used for object detection and localization problems. It is worth mentioning that the dataset is slightly biased towards Chinese dogs population as all images was taken in China. In the chart below you can see the most common values in the dataset.
When training the models some data augmentations were employed: an image was resized such that the shorter sidelength was 256, then randomly cropped to 224 x 224 and eventually randomly flipped in horizontal axis.
ResNet-50 is a residual network made of 50 layers proposed in the paper "Deep Residual Learning for Image Recognition". It's widely used for many computer vision tasks because it allows to build very deep networks without hitting vanishing or exploding gradients problem. This is achieved by introducing residual blocks consisting of shortcuts that skip one or more layers. The shortcut connections simply perform identity mapping, and their outputs are added to the outputs of stacked layers. This kind of mapping doesn't add any extra parameter nor computational complexity. In the picture below there is an architecture of ResNet-50 network.
The original classifier was changed for a sequential block consisting of 2 fully connected layers with ReLU as an activation function followed by 2 dropout layers. At the end the fully connected layer with log softmax function was added.
VGG-16 is a convolutional neural network architecture proposed in the paper "Very Deep Convolutional Networks For Large-Scale Image Recognition". The most unique thing about this network in comparison to the earlier architectures is the usage of multiple kernel-sized 3 x 3 filters one after another instead of using large 7 x 7 or 11 x 11 filters at the beginning of the network. The convolution stride is fixed to 1 pixel and the spatial padding of convolutional layer input is such that the spatial resolution is preserved after convolution. The architecture is depicted in the picture below.
The last layer of classifier was replaced with a block of one fully connected layer with ReLU function and dropout layer and one fully connected layer with log softmax function.
Two training runs were performed, one using ResNet-50 architecture and one using VGG-16 architecture. The hyperparameters for both runs were the same: batch size of 32, learning rate equal 0.001 and 20 epochs. Early stopping was applied to prevent overfitting, so eventually training for ResNet-50 stopped after 12 epochs and for VGG-16 – after 8 epochs. Below there are presented plots how the value of loss function and accuracy change with training epochs for ResNet-50 model.
In the first few epochs the value of train loss function dropped significantly and later it fluctuated around certain value. The validation loss function plot has similar shape but it's beneath the train plot due to possible unrepresentativeness of validation data. The accuracy raised to around 68%. For comparison below there are the same plots for VGG-16 architecture.
The plots are similar to the previous ones, but the drops at the beginning of training are not that significant. Also accuracy is slightly higher reaching over 73%. The reason for that can be bigger number of pretrained parameters for VGG-16 model thus it can extract features better. Because of the superior performance of the VGG-16 architecture, it was chosen for final evaluation on test dataset. During the evaluation the accuracy of 73.3% was achieved. At the end there are presented benchmarks for various models on the Tsinghua Dogs dataset compared with the value achieved by VGG-16 model created in this project.
| Model | Backbone | Batchsize | Epochs | Accuracy |
|---|---|---|---|---|
| WS-DAN | Inception v3 | 12 | 80 | 86.4% |
| TBMSL-Net | Resnet50 | 6 | 200 | 83.7% |
| PMG | Resnet50 | 16 | 200 | 83.5% |
| Inception v3 | N/A | 64 | 200 | 77.7% |
| VGG-16 | N/A | 32 | 8 | 73.3% |


-
<static> create(token, options)
-
Factory method to create Chat client instance.
Parameters:
| Name |
Type |
Description |
token |
String
|
Access token |
options |
Client#ClientOptions
|
Options to customize the Client |
Returns:
-
Type
-
Promise.<Client>
-
<static> parsePushNotification(notificationPayload)
-
Static method for push notification payload parsing. Returns parsed push as
PushNotification object
Parameters:
| Name |
Type |
Description |
notificationPayload |
Object
|
Push notification payload |
Returns:
-
Type
-
PushNotification
|
Error
-
createChannel( [options])
-
Create a Channel on the server and subscribe to its events.
Default options are public Channel type with empty uniqueName and friendlyName.
Parameters:
Returns:
-
Type
-
Promise.<Channel>
-
getChannelBySid(channelSid)
-
Get a known Channel by its SID.
Parameters:
| Name |
Type |
Description |
channelSid |
String
|
Channel sid |
Returns:
-
Type
-
Promise.<Channel>
-
getChannelByUniqueName(uniqueName)
-
Get a known Channel by its unique identifier name.
Parameters:
| Name |
Type |
Description |
uniqueName |
String
|
The unique identifier name of the Channel to get |
Returns:
-
Type
-
Promise.<Channel>
-
getLocalChannels( [sortingOptions])
-
Get array of Channels locally known to Client in provided sorting order.
Locally known channels are the ones created and/or joined during client runtime and currently logged in User subscribed Channels.
To ensure full list of subscribed Channels fetched - call the
Client#getSubscribedChannels method
and fetch all pages with help of
Paginator#nextPage method.
Parameters:
Returns:
-
Type
-
Promise.<Array.<Channel>>
-
getPublicChannelDescriptors()
-
Get the public channels directory content.
Returns:
-
Type
-
Promise.<Paginator.<ChannelDescriptor>>
-
getSubscribedChannels()
-
Get the current list of all subscribed Channels.
Returns:
-
Type
-
Promise.<Paginator.<Channel>>
-
getSubscribedUsers()
-
Returns:
List of subscribed User objects
-
Type
-
Promise.<Array.<User>>
-
getUser(identity)
-
Gets user for given identity, if it's in subscribed list - then return the user object from it,
if not - then subscribes and adds user to the subscribed list.
Parameters:
| Name |
Type |
Description |
identity |
String
|
Identity of User |
Returns:
Fully initialized user
-
Type
-
Promise.<User>
-
getUserChannelDescriptors()
-
Get the User's (created by, joined or invited to) channels directory content.
Returns:
-
Type
-
Promise.<Paginator.<ChannelDescriptor>>
-
getUserDescriptor(identity)
-
Gets user descriptor for given identity.
Parameters:
| Name |
Type |
Description |
identity |
String
|
Identity of User |
Returns:
User descriptor
-
Type
-
Promise.<UserDescriptor>
-
handlePushNotification(notificationPayload)
-
Parameters:
| Name |
Type |
Description |
notificationPayload |
Object
|
Push notification payload |
Returns:
-
Type
-
void
|
Error
-
setPushRegistrationId(channelType, registrationId)
-
Registers for push notifications.
Parameters:
| Name |
Type |
Description |
channelType |
Client#NotificationsChannelType
|
'gcm', 'apn' and 'fcm' are supported |
registrationId |
string
|
Push notification id provided by platform |
Returns:
-
Type
-
Promise.<void>
-
shutdown()
-
Gracefully shutting down library instance.
Returns:
-
Type
-
Promise.<void>
-
unsetPushRegistrationId(channelType)
-
Unregisters from push notifications.
Parameters:
Returns:
-
Type
-
Promise.<void>
-
updateToken(token)
-
Update the token used by the Client and re-register with Programmable Chat services.
Parameters:
| Name |
Type |
Description |
token |
String
|
Access token |
Returns:
-
Type
-
Promise.<Client>
-
channelAdded
-
Fired when a Channel becomes visible to the Client.
Fired for created and not joined private channels and for all type of channels Client has joined or invited to.
-
channelInvited
-
Fired when the Client is invited to a Channel.
-
channelJoined
-
Fired when the Client joins a Channel.
-
channelLeft
-
Fired when the Client leaves a Channel.
-
channelRemoved
-
Fired when a Channel is no longer visible to the Client.
Only fired for private channels.
-
channelUpdated
-
Fired when a Channel's attributes or metadata have been updated.
During Channel's
creation and initialization this event might be fired multiple times
for same joined or created Channel as new data is arriving from different sources.
Type:
Object
Properties:
| Name |
Type |
Description |
channel |
Channel
|
Updated Channel |
updateReasons |
Array.<Channel#UpdateReason>
|
Array of Channel's updated event reasons |
-
connectionStateChanged
-
Fired when Client's connection state has been changed.
-
memberJoined
-
Fired when a Member has joined the Channel.
-
memberLeft
-
Fired when a Member has left the Channel.
-
memberUpdated
-
Fired when a Member's fields has been updated.
Type:
Object
Properties:
| Name |
Type |
Description |
member |
Member
|
Updated Member |
updateReasons |
Array.<Member#UpdateReason>
|
Array of Member's updated event reasons |
-
messageAdded
-
Fired when a new Message has been added to the Channel on the server.
-
messageRemoved
-
Fired when Message is removed from Channel's message list.
-
messageUpdated
-
Fired when an existing Message's fields are updated with new values.
Type:
Object
Properties:
| Name |
Type |
Description |
message |
Message
|
Updated Message |
updateReasons |
Array.<Message#UpdateReason>
|
Array of Message's updated event reasons |
-
pushNotification
-
Fired when client received (and parsed) push notification via one of push channels (apn, gcm, fcm).
-
tokenAboutToExpire
-
Fired when token is about to expire and needs to be updated.
Type:
void
-
tokenExpired
-
Fired when token is expired.
Type:
void
-
typingEnded
-
Fired when a Member has stopped typing.
-
typingStarted
-
Fired when a Member has started typing.
-
userSubscribed
-
Fired when the Client is subscribed to a User.
-
userUnsubscribed
-
Fired when the Client is unsubscribed from a User.
-
userUpdated
-
Fired when the User's properties or reachability status have been updated.
Type:
Object
Properties:
| Name |
Type |
Description |
user |
User
|
Updated User |
updateReasons |
Array.<User#UpdateReason>
|
Array of User's updated event reasons |


"use strict";
/**
* @file A {@link processor} function that converts the manifest database into a file tree
* of json files each containing a single entry from the database allowing it to be served
* statically.
*/
let fs = require('fs');
let mkdirp = require('./lib/utils').mkdirp;
/**
* Save a manifest entry to a file.
* @private
*/
function saveJson(path, entry) {
return new Promise((resolve, reject) => {
fs.writeFile(path, JSON.stringify(entry.data, null, 2), 'utf-8', err => {
if (err) reject(err);
else resolve();
});
});
}
module.exports = function(rootPath, writeLimit) {
let queue = [];
let workers = [];
let writes = 0;
let limit = writeLimit || 100;
/**
* The processor function to pass to extract.
*/
function processor(lang, entry) {
let dir = `${rootPath}/${lang}/${entry.tablename}`;
let file = `${dir}/${entry.hashKey}.json`;
queue.push({
dir: dir,
file: file,
entry: entry
});
write();
}
/**
* Start another write worker if the limit has not been reached.
*/
function write() {
if (writes >= limit) return;
writes++;
let data = queue.shift()
workers.push(doWrite(data));
}
/**
* The write worker function, takes an entry from the queue and
* writes it to a file. Once the write is complete the next item
* in the queue is taken. Stops when the queue is empty.
*/
function doWrite(data) {
return mkdirp(data.dir)
.then(() => saveJson(data.file, data.entry))
.then(() => {
let next = queue.shift();
if (next) {
return doWrite(data);
}
else {
writes--;
}
});
}
/**
* Waits for all the worker operations to complete.
*/
function waitDone() {
return Promise.all(workers);
}
return {
processor: processor,
waitDone: waitDone
};
}


Addressing Digital Skills Needs accross the World
US
World
Methodology
(Beta Version)
Select a Country
Country Efforts to Track Digital Skills
Country Efforts to Address Broadband Access


For password use at least 1 uppercase,1 lowercase,1 number and 1 special character, password should be at least 8 characters