Using tensorboard for metric tracking¶
ParlAI uses tensorboardX package which provides tensorflow-free api to write tensorboard event files.
One can install it using pip:
pip install tensorboardX
Default usage inside training loop¶
TrainingLoop
class from train_model.py
script supports saving any metric available in train_report
or valid_report
.
Provide the following arguments to track Perplexity, Loss and Accuracy (this is presented as arguments for parser.set_default() function):
tensorboard_log=True,
tensorboard_tag='task,batchsize,hiddensize,embeddingsize,attention,numlayers,rnn_class,learningrate,dropout,gradient_clip',
tensorboard_metrics='ppl,loss,accuracy',
tensorboard_tag
provides sequence of arguments which will be used together with corresponding values for the tensorboard event folder name.
In the example above, the folder name will look like this:
May31_10-15_task-convai2:self_batchsize-64_hiddensize-1024_embeddingsize-300_attention-
general_numlayers-2_rnn_class-lstm_learningrate-3_dropout-0.1_gradient_clip-0.1
All folders are stored in ${PARLAI_DATA}/tensorboard
In order to launch tensorboard with ParlAI logs, run:
tensorboard —logdir ${PARLAI_DATA}/tensorboard --port 8866
. TB will be avaialable on port 8866.
Usage in other part your code¶
One can track any other values during the runtime with TensorboardLogger
class:
from parlai.core.logs import TensorboardLogger
# you need access to global parlai opt to create an instance
if opt['tensorboard_log'] is True:
self.writer = TensorboardLogger(opt)
# then you can track any metric:
self.writer.add_scalar('test', 100)


Name
Target Sites
URL
?
Use RegExp
This expression does not match this site.
Example URL
Description
The asterisk (*) matches zero or more characters. This rule is applied on matched sites.
Elements to Hide
XPath
?
51
CSS
?
XPath
CSS
Invalid XPath
Description
Matched elements will disappear if they meet the condition.
Condition
Block Anyway
?
Filter with Keywords
Keywords
?
Complete Match
RegEx
Case Sensitive
Include Link URL
Search Range
XPath
?
83
CSS
?
XPath
CSS
Invalid XPath
Description
The filter works when these elements contain "Keywords".


Room
Condition
Graphic
Hardwares / Devices
1 - Rooms
Room.id
Room.name
Room.deviceTemperatureId
Room.deviceHeatingId
Room.deviceHeaterId
Save
2 - RoomGraphCond
RGC.id
RGC.roomId
RGC.graphId
RGC.conditionId
Save
Conditions
Condition.id
Condition.name
Condition.deviceId
none
Condition.temperatureMin
Condition.temperatureMax
Condition.days
Monday
Tuesday
Wednesday
Thurday
Friday
Saturday
Sunday
Condition.useCalendar
Add date (simple day)
Add date (period)
Save
1 - Graphics
Graphic.description
Save
1 - Hardwares
Hardware.id
Hardware.type
domoticz
philipsTV
shell
Hardware.name
Hardware.param1
Save
2 - Devices
Device.id
Device.type
devTempHum
devInterruptor
devDimmer
devTV
Device.name
Device.hardwareId
Device.cacheLifetime
Device.param1
Device.param2
Device.cloneToDeviceId
none
Device.hidden
Device.cacheRunning
Save
Delete


Source code for cutout
# copy-pasted from https://github.com/tensorflow/models/blob/master/research/autoaugment/augmentation_transforms.py
import random
import numpy as np
[docs]def create_cutout_mask(img_height, img_width, num_channels, size):
"""Creates a zero mask used for cutout of shape `img_height` x `img_width`.
Args:
img_height: Height of image cutout mask will be applied to.
img_width: Width of image cutout mask will be applied to.
num_channels: Number of channels in the image.
size: Size of the zeros mask.
Returns:
A mask of shape `img_height` x `img_width` with all ones except for a
square of zeros of shape `size` x `size`. This mask is meant to be
elementwise multiplied with the original image. Additionally returns
the `upper_coord` and `lower_coord` which specify where the cutout mask
will be applied.
"""
assert img_height == img_width
# Sample center where cutout mask will be applied
height_loc = np.random.randint(low=0, high=img_height)
width_loc = np.random.randint(low=0, high=img_width)
# Determine upper right and lower left corners of patch
upper_coord = (max(0, height_loc - size // 2), max(0, width_loc - size // 2))
lower_coord = (
min(img_height, height_loc + size // 2),
min(img_width, width_loc + size // 2),
)
mask_height = lower_coord[0] - upper_coord[0]
mask_width = lower_coord[1] - upper_coord[1]
assert mask_height > 0
assert mask_width > 0
mask = np.ones((img_height, img_width, num_channels))
zeros = np.zeros((mask_height, mask_width, num_channels))
mask[upper_coord[0] : lower_coord[0], upper_coord[1] : lower_coord[1], :] = zeros
return mask, upper_coord, lower_coord
[docs]def cutout_numpy(img, size=16):
"""Apply cutout with mask of shape `size` x `size` to `img`.
The cutout operation is from the paper https://arxiv.org/abs/1708.04552.
This operation applies a `size`x`size` mask of zeros to a random location
within `img`.
Args:
img: Numpy image that cutout will be applied to.
size: Height/width of the cutout mask that will be
Returns:
A numpy tensor that is the result of applying the cutout mask to `img`.
"""
img_height, img_width, num_channels = (img.shape[0], img.shape[1], img.shape[2])
assert len(img.shape) == 3
mask, _, _ = create_cutout_mask(img_height, img_width, num_channels, size)
return img * mask


Home
Admin
Upload Image
View Images
Logout
Welcome back, {{ user.full_name }} ({{ user.username }})!
Please navigate to the appropriate page, above.


#assign openapi="active">
An OpenAPI description of the API is always generated for all the controllers.
The annotation processor that generates the web route adapters also generates a OpenAPI (swagger) definition of all the endpoints that the controllers define.
Example javalin-maven-java-basic
The annotation processor reads the javadoc (and Kotlin documentation) for the controller methods and the description, @param and @return documentation is all used in the OpenAPI definition. The processor reads all the request and response types as OpenAPI component schema.
The javax bean validation annotations @NotNull
, @Size
and @Email
are read as well as detecting Kotlin non-nullable
types as required properties.
These are used to specify required properties, min max lengths and property format.
We can add a dependency on io.swagger.core.v3:swagger-annotations:2.0.8
and add swagger annotations.
We use @OpenAPIDefinition to define a title and description for the api. This annotation would often go on the Main method class or on package-info.java in the controllers package.
Example @OpenAPIDefinition
@OpenAPIDefinition( info = @Info( title = "Example service", description = "Example Javalin controllers with Java and Maven"))
Put @Hidden
on controller methods that we want to exclude
from the OpenAPI documentation.
The gradle plugin by default puts the generated openapi.json file into src/main/resource/public
To add the plugin:
plugins { ... id('io.dinject.openapi') version('1.2') }
To configure the openapi.json file to go to another location add a openapi configuration section in build.gradle like:
openapi { destination = 'other/my-api.json' }
The maven plugin by default puts the generated openapi.json file into src/main/resource/public
To add the plugin into build / plugins section:
io.dinject openapi-maven-plugin 1.2 main process-classes openapi
To configure the openapi.json file to go to another location add a configuration section element like:
io.dinject openapi-maven-plugin 1.2 other/my-api.json main process-classes openapi
When the openapi.json file is in src/main/resources/public it can be served by
using addStaticFiles
on the JavalinConfig like:
Javalin app = Javalin.create(config -> { ... config.addStaticFiles("public", Location.CLASSPATH); });<@next "Bean validation" "beanvalidation"/>


First day in database is
From
, last day is
To
Time
\
Date
Date
×
.time
📝
-- no category --
Options
Comment
💾
Name


Unique Post Styling with Jekyll
The other day Dave Rupert blogged about his new JavaScript plugin TimeJump. The Timejump post was a nice little read but the thing that caught my eye was the amount of time he had spent styling the post.
I have been following Dave’s development for a while now and have been keeping an especially close eye on his work with Jekyll.
So how did Dave actually achieve the custom styled post with Jekyll?
After digging around I worked out that he had some sort of ‘Art Direction’ voodoo happening. I have seen this done in WordPress before but not with Jekyll.
I did a little Googling to see if this was common. It’s not. Thankfully Dave replied to my tweet.
@jake_bresnehan I have a
head
key in my YAML front matter. Couldn’t be easier.— Dave Rupert (@davatron5000) April 3, 2013
The Solution
Assuming you have the standard Jekyll structure set up, all should work a treat.
|-- _config.yml
|-- _layouts
| |-- default.html
| |-- post.html
|-- _includes
|-- _posts
| |-- 1970-01-01-placeholder-post.md
|-- index.html
Inside your default.html
layout add this little block of Liquid markup just below your default style sheet call.
This checks to see if your post has any styles in the YAML Front Matter to process. If it does it will add your styles inline in the <head>
(yeah it’s bad practice. Blah, blah, blah). If not it will just continue to output the rest of your post file.
With the above snippet added to your default.html
layout all you need to do inside your new blog post is add the custom style
variable in the YAML Front Matter like so:
---
layout: post
title: Placeholder post
style: |
body {
background: HoneyDew;
}
---
Your post content
Handy Resources:
Related
This entry was posted in Uncategorized and tagged Development.


This text is Italic.
This text is Italic
This text is Strong
This text is Strong
This text is strikethrough
This is a quote

This is a paragraph!

npm install
npm start
function multiply(num1, num2) {
return num1 * num2;
}
def multiply(num1, num2):
return num1 * num2
| Name | |
|---|---|
| Devesh |<EMAIL_ADDRESS>|
| Anonymous |<EMAIL_ADDRESS>|


'The Avengers' (1998)
A movie review by Walter Frith
Member of the 'Internet Movie Critics Association' http://www.geocities.com/Hollywood/Studio/5713/index.html
and
Member of the 'Online Film Critic's Society' http://ofcs.org/ofcs/
What an enigma. It's 89 minutes of my life that I can't get back. I just can't figure out how such a skillful pair of performers like Ralph Fiennes and Uma Thurman can let themselves be a part of such a mess like 'The Avengers'. Even a veteran like Sean Connery looks awkward in this film and let's face it, has Connery had a really GOOD film since 1990's 'The Hunt for Red October'? Connery has made some bad decisions as an actor like appearing in that horrible 'Highlander' sequel in 1991, and now that I think of it, I wasn't that impressed with the first 'Highlander' movie in 1986 but such films like 1992's 'Medicine Man', 1993's 'Rising Sun' and 1995's 'Just Cause' all had potential but looked more like they were cranked out in the usual Hollywood fashion in the fast food section of motion pictures.
Warner Brothers refused to show the movie to critics a short time ago before its major release and for good reason! Of course, the usual corporate line to put a spin on things, as voiced by one Warner executive was that the reason why there was no previews beforehand was because Warner Bros. was afraid that critics would compare it to other films and to the original t.v. series. Ha, ha, ha! What an insult to people's intelligence. Ok, so I'll never work THERE.
Beginning with opening scenes that are relatively entertaining (the first ten minutes had me watching hopefully), 'The Avengers' quickly dissolves into another formula comic book style movie with lavish sets, impressive costume designs and other forms of eye candy that can't hide the fact that the film doesn't know which direction it's going in because it doesn't know where it's been. It's an abstract form of so-called entertainment that wallows in the excessive boredom seen last year in 'Batman and Robin' where an abysmal script and wooden direction ticked off even the casual movie fan.
This big screen version of 'The Avengers' is based on the television series from the 1960's which starred Patrick Macnee and Diana Rigg. The series ran from 1961 to 1968 and Rigg came in in 1966. Prior to that it was Honor Blackman who starred along with Macnee. In this version, John Steed (Fiennes) and Dr. (Mrs.) Emma Peel (Thurman) are two highly skilled British secret agents who are introduced to each other and are given an assignment to work on a case involving the manipulation of the world's weather. Snow storms, twisters, warm weather, rain, lightening and thunder are all present right behind each other in bizarre fashion controlled by a mad scientist named Sir August de Wynter (Sean Connery). de Wynter's plot is to manipulate the governments of the world into buying his weather, presumably the safe and normal kind and if not, he says hundreds of millions will drown, burn, freeze etc.
Director Jeremiah S. Chechik ('Benny and Joon', 'National Lampoon's Christmas Vacation') doesn't know what he's doing here. He has no idea where to take a movie and how to distinguish his characters from each other and throw in his version of sub text like any creative director would. Screenwriter Don MacPherson's dialogue is pompous in an annoying sort of way and his story development is about as slow as opening a can of food with a manual can opener rather than by using an electrical one.
What's really disappointing about this version is the performance of Uma Thurman as Peel. In many ways, she sounds a lot like her Poison Ivy character from 'Batman and Robin'. In fact, if you were to blindfold even the most high brow critic, it is my belief that he or she would have a hard time distinguishing between the two characters.
Fiennes is wooden and his showdown with Connery in the film's climax is laughably short, predictable and badly edited. Every character in this movie looks like they're reading their lines from cue cards. The film's continuity is also scattershot. In a freezing blizzard, Steed and Peel are speaking to each other and they aren't shivering and their warm breath in contrast to the cold air isn't even visible! One shot has Steed taking off his hat which is covered with fake snow, and it looks fake, and suddenly as the snow keeps falling, only a couple of flake's manage to find their way onto his neatly combed head of hair. DUH!
I recently read that original star Patrick Macnee actually approves of this movie because Steed doesn't carry a gun like he never did on the t.v. show. Wow! There's a ringing endorsement. I'll take Dirty Harry and his magnum or John McClane and his machine gun any day and in keeping with the dignity of the English culture, I'm sure even the most loyal British movie fan would be dying to rent a James Bond movie, complete with guns and weaponry used stylishly by Connery and Roger Moore after seeing this movie where Steed's trusty umbrella seems to be lethal on his foes.
For fun with an umbrella, I recommend turning on any re-run of the 1960's television series 'Batman' and seeing Burgess Meredith "Wah, wah wah!" his way through an episode as the Penguin, using his umbrella. It's more enjoyable and entertaining than this turkey of a movie where the real asset is...well, there really aren't any!
OUT OF 5 > * (for Uma Thurman's wardrobe...she looks good in everything!)
Visit FILM FOLLOW-UP by Walter Frith http://home.netinc.ca/~wfrith/movies.htm
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Every bride and groom wants an incomparable wedding combined with fantasy and style. We create stunning, one-of-a-kind events produced and styled to perfection. From traditional to modern, elegant and relaxed, we focus on any event we plan.
Look at the most passionate ceremony ever. We wish happiness to the wedding couple.
Look at the most passionate ceremony ever. We wish happiness to the wedding couple.
Look at the most passionate ceremony ever. We wish happiness to the wedding couple.
Look at the most passionate ceremony ever. We wish happiness to the wedding couple.
We assist our clients in creating memorable, magical celebrations that exceed expectations. Our personal approach ensures the weddings we plan are meaningful and truly reflect our clients as individuals, as couples, and states something about their shared values and sense of style.
LEARN MOREOn the 25 September 2017
Join us as we celebrate life and love.
14 Baria street 133/2, New York City, US


2 Samuel 12:27
And Joab sent messengers to David, and said, I have fought against Rabbah, and have taken the city of waters.


Note: this cannot be accessed locally via the file:// protocol thanks to same-domain origin policy. It must be placed behind a webserver. Images may take a few seconds to render.


Property Type : House
Price : £650,000
Location : Petts Wood Road, Petts Wood, Orpington
Attractive three bedroom semi-detached family home situated within 0.5 miles of Petts Wood station with fast trains to London and within easy walking distance of local shops, schools, bus routes and National Trust woodland. The property comprises; two receptions, fitted 18'9 x 10'1 kitchen/breakfast room and conservatory. The property also benefits from having a utility room and cloakroom. To the first floor there are three bedrooms and a family bathroom with separate WC. Additional features include double glazing, gas central heating and a well presented interior...


Introduction
JavaScript is a cross-platform, object-oriented scripting language. It is a small and lightweight language. Inside a host environment (for example, a web browser), JavaScript can be connected to the objects of its environment to provide programmatic control over them.
JavaScript contains a standard library of objects, such as Array, Date, and Math, and a core set of language elements such as operators, control structures, and statements. Core JavaScript can be extended for a variety of purposes by supplementing it with additional objects; for example:
- Client-side JavaScript extends the core language by supplying objects to control a browser and its Document Object Model (DOM). For example, client-side extensions allow an application to place elements on an HTML form and respond to user events such as mouse clicks, form input, and page navigation.
- Server-side JavaScript extends the core language by supplying objects relevant to running JavaScript on a server. For example, server-side extensions allow an application to communicate with a database, provide continuity of information from one invocation to another of the application, or perform file manipulations on a server.
Before Starting
This guide assumes you have the following basic background:
- A general understanding of the Internet and the World Wide Web (WWW).
- Good working knowledge of HyperText Markup Language (HTML).
- Some programming experience. If you are new to programming, try one of the tutorials linked on the main page about JavaScript.
JavaScript and Java
JavaScript is a lightweight programming language(“scripting language”) and used to make web pages interactive. It can insert dynamic text into HTML.JavaScript is also known as browser’s language. JavaScript(JS) is not similar or related to Java. Both the languages have a C like a syntax and are widely used in client-side Web applications, but there are few similarities only.
Java is an object-oriented programming language and have virtual machine platform that allows you to create compiled programs that run on nearly every platform. Java promised, “Write Once, Run Anywhere”.
Hello world
To get started with writing JavaScript, open the Scratchpad and write your first "Hello world" JavaScript code:
function greetMe(yourName) { alert("Hello " + yourName); }
greetMe("World");
Select the code in the pad and hit Ctrl+R to watch it unfold in your browser!
Declaring variables
You can declare a variable in three ways:
With the keyword var. For example,
var x = 42.
Variable scope
This syntax can be used to declare both local and global variables.
By simply assigning it a value. For example,
x = 42
This always declares a global variable. It generates a strict JavaScript warning. You shouldn't use this variant.
With the keyword let. For example,
let y = 13
When you declare a variable outside of any function, it is called a global variable, because it is available to any other code in the current document. When you declare a variable within a function, it is called a local variable, because it is available only within that function.
JavaScript before ECMAScript 2015 does not have block statement scope; rather, a variable declared within a block is local to the function (or global scope) that the block resides within. For example the following code will log 5, because the scope of x is the function (or global context) within which x is declared, not the block, which in this case is an if statement.
if (true) { var x = 5; } console.log(x); // 5
This behavior changes, when using the let declaration introduced in ECMAScript 2015.
if (true) { let y = 5; } console.log(y); // ReferenceError: y is not
defined


Home
Ugly Version
Week 1
Week 2
Week 2
Week 3
<<<<<<< HEAD =======
Week 4(?)
Week 5
>>>>>>> origin/ahsan
MuW Tangible Computing
Welcome to my Tangible Computing Blog! My name is Ahsan Murad. I'm a 2nd Year Design Student @ DIDI. Please note that this is a work in progress: Ugly Website, a more responsive and better designed webpage, and more awesome experiments coming soon!


Sum of two floats Open on JetBrains Academy
Write a program that reads two float numbers from the user (use the float()) and prints their sum.
Sample Input:
8.77
11.25
Sample Output:
20.02
Memory limit: 256 MB
Time limit: 15 seconds
Show topic summary


Reports comparisons like
Integer.compare(a, b) == 0
which could be replaced simply with
a == b
.
New in 2018.2


{{ include snippet_header.html }} {{ include snippet_banner.html }}
{{ product.short_description }}
15 reviews


{include file='public/css' /}
{include file="public/left" /}
{include file="public/nav" /}
{$title}
Add
ID
cates
操作(action)
{volist name='list' id='vo'}
{$vo.id}
{$vo.pname}
cates infos
delete
{/volist}
{$list->render();}
{include file='public/js' /}


mental
[click here to view profile]
[click here to build playlist]
About Us
Instrumental is a webapp designed to provide
you with customized playlists. The playlists are
generated using your mood, genre preference,
and activity toprovide the best playlist for
you.


Available for hire
Miranda Betts
Android app developer
San Jose, California
3+
Years Exp
10+
Projects
Android
Mobile App Development
Android Studio
PREVIOUSLY
Maps API Designer with Google
Arts & Art History Stanford University
WORKED ON
Google Maps API
Standford Art Museum
+8More Projects
TESTIMONIALS
Jonathon Peter
VP of Product at Uber
Highly recommened for anyone who wants to learn strategy and open to advicing and networking. She comes….


title=Happiness is... date=2011-08-31 type=post tags=blog status=published ~~~~~~
Happiness is having RabbitMQ and PostgreSQL in the output of my vmc services
invocation ;-)
vmc target api.cloudfoundry.com vmc login ... vmc services
What a wild month for CloudFoundry! RabbitMQ! MicroCloud! and now, PostgreSQL (this was one of the biggest pieces of news to come out of VMWorld 2011 in Las Vegas, where I am right now)! And, for the Python and PHP inclined among us, there's now the CloudFoundry partner providers that are now supporting these languages on their CloudFoundry clouds. It's all coming together, quicker and better than ever. Stay tuned for more!


Fast and easy searching inside a page.
Installation
You can install holmes
with either npm
or bower
under the package name holmes.js
. For npm
that looks like this:
$ npm install --save holmes.js
After which you can add it in your page with i.e. browserify or loading the module in a different script tag.
You have to make sure that you have a css
rule for the class .hidden
that hides elements however you want. One option is to have this:
.hidden {
display: none;
}
but this could be any css
you want.
Usage
Simple example
holmes({
input: '.search input', // default: input[type=search]
find: '.results div' // querySelectorAll that matches each of the results individually
})
All options
holmes({
// queryselector for the input
input: '.search input',
// queryselector for element to search in
find: '.results article',
// (optional) text to show when no results
placeholder: 'no results',
class: {
// (optional) class to add to matched elements
visible: 'visible',
// (optional) class to add to non-matched elements
hidden: 'hidden'
},
// (optional) if true, this will refresh the content every search
dynamic: false,
// (optional) needs to be true if the input is a contenteditable field instead of a
contenteditable: false,
// (optional) in case you don't want to wait for DOMContentLoaded before starting Holmes:
instant: true
});
Showcase
| What | who | image |
|---|---|---|
| bullg.it | @haroenv | |
| family.scss | @lukyvj |
I'd love to find out how people use my project, let me know if you want to be featured!
Questions?
Compatible up to IE9.
Let me know on twitter: @haroenv.
Contributing
Contributions are always welcome! Here are some loose guidelines:
- use
feature branches
- don't make it slower
- explain why you want a feature
npm run doc
to recreate the documentation
But I don't bite, if you have any questions or insecurities, hit me up for example on gitter.
License
Apache 2.0


New Skoda Octavia Vs Honda Civic Vs New Elantra – Specs, Design Comparison
by Sahil KukrejaWith the fourth-gen Skoda Octavia officially being revealed globally, let’s see how well it fares against other D-segment sedans when it launches in India next year
Skoda revealed the much-awaited 2020 Octavia a few days ago, after a lot of speculation. Internationally, the upcoming car will be launched in two body styles, which will be a liftback hatch style and an estate but India will only get the liftback hatch style later next year rivalling D-segment sedans, and so will the new-gen model when it launches next year.
The said segment has seen two new launches this year, in the form of Honda Civic and Hyundai Elantra facelift. Skoda will likely be unveiling the 2020 Octavia in India at the 2020 Auto Expo, and launching it later next year. We compare it with the current-gen Octavia’s rivals in India, to see how well it can perform.
New Skoda Octavia Vs Honda Civic Vs New Elantra – Dimensions
In terms of size, the Octavia continues to be longer than the Honda Civic and the Hyundai Elantra, just like the current model on sale in India. It is also wider than the two, which means the cabin space is better than its competitors. The boot of the Octavia is comparatively larger than the Elantra and the Civic.
| Dimensions | 2020 Skoda Octavia |
| Length | 4,689 mm |
| Width | 1,829 mm |
| Wheelbase | 2,686 mm |
| BootSpace | 600 litres |
The fourth-gen Octavia has a length of 4,689 mm, a width of 1,829 mm, has a 2,686 mm long wheelbase and 600 litres of boot space. Compared to Hyundai Elantra, the next-gen Skoda Octavia is 69 mm longer, 29 mm wider and has extra 142 litres of boot space, however the Elantra has a 14 mm longer wheelbase.
| Dimensions | Hyundai Elantra | Honda Civic |
| Length | 4,620 mm | 4,656 mm |
| Width | 1,800 mm | 1,799 mm |
| WheelBase | 2,700 mm | 2,700 mm |
| Boot Space | 458 litres | 430 litres |
Similarly, the Honda Civic falls short of the 2020 Octavia in terms of length (33 mm), width (30 mm), and boot space (170 litres). But the Civic has a 14 mm longer wheelbase when compared to the upcoming Octavia.
New Skoda Octavia Vs Honda Civic Vs New Elantra – Design Comparison
In terms of design, the upcoming Octavia retains its overall silhouette from the outgoing model. However, sharper elements have been added all around the car, including matrix full-LED headlamps and boomerang shaped LED tail lights, similar to that on the Scala hatch. It gets a wide front grille with black vertical inserts, surrounded by chrome garnish.
The 2019 Hyundai Elantra is a facelift, hence features only certain changes as compared to the pre-facelift model. It features Hyundai’s new cascading grille at the front, with a new triangular design for the headlamps as well as the fog lamps.
 The LED tail lamps at the rear are extended to the boot and look striking. The Elantra lettering can be seen sitting below the Hyundai logo on the tailgate.
The Honda Civic is certainly a head-turner. While the other two cars look conventional, Honda has chosen a different path. It gets a sloping roofline which makes it look like a coupe.
 At the rear, it gets large C-shaped LED tail lamps, extending to the lip spoiler, which really makes it stand out.
New Skoda Octavia Vs Honda Civic Vs New Elantra – Features Comparison
The international 2020 Skoda Octavia, being the latest of the lot, features a revolutionary design inside the cabin along with a plethora of features. It gets a 10-inch fully digital MID along with a similarly sized floating touchscreen infotainment unit and a head up display.
Apart from that, the upcoming Octavia features a two-spoke steering wheel which looks futuristic. It also gets an LED ambient lighting strip running across the dash, which can be had in 10 different colours!
As this is the international version of the Octavia, the D-segment sedan might see a few misses when the Czech carmaker brings the car to India next year, in order to keep a price check.
The Honda Civic came with a few first in segment features including a remote engine starter and a lane watch camera. It gets a 7-inch touchscreen infotainment system with Apple CarPlay and Android Auto connectivity, dual zone automatic climate control, cruise control, automatic sunroof, paddle shifters, interior ambient lighting to name a few.
Over the Civic, the Hyundai Elantra gets a wireless phone charger, a bigger 8-inch infotainment unit, a front seat ventilation system and Hyundai’s BlueLink mobility assistant.
New Skoda Octavia Vs Honda Civic Vs New Elantra – Engine Comparison
While Skoda has revealed the Octavia with a host of engine configurations for the international markets, in India, the car will likely be offered with a 1.5-litre TSI petrol and a 2.0-litre TDI diesel engine. Expect the power output of both engines to be around 150 HP, and Skoda will be offering the Octavia with either a 6-speed manual transmission or a 7-speed DSG.
| 2020 Skoda Octavia (Petrol) | Hyundai Elantra (Petrol) | Honda Civic (Petrol) |
| 1.5 Litre Petrol Engine | 2.0 Litre Petrol Engine | 1.8 Litre Petrol Engine |
| 152 PS | 152 PS | 141 PS |
| 192 Nm | 174 Nm | |
| 6 Speed MT/7 Speed DSG | 6 Speed MT/6 Speed AT | 7 Speed CVT |
Hyundai offers the Elantra in India with only a petrol engine, which is a 2.0-litre unit, that produces 150 HP of peak power and 192 Nm of peak torque. The engine comes mated to a 6-speed MT or an optional automatic transmission.
| Model | 2020 Skoda Octavia (Diesel) | Honda Civic (Diesel) |
| Engine | 2.0 Litre Diesel Engine | 1.6 Litre Diesel Engine |
| Power | 152 PS | 120 PS |
| Torque | 300 NM | |
| Transmission | 6 Speed MT/7 Speed DSG | 6 Speed MT |
The Honda Civic gets a 1.8-litre petrol engine along with a 1.6-litre diesel engine. The former makes 139 HP of max power, along with 174 Nm of torque, while the latter puts out 118 HP/300 Nm. The petrol engine comes mated to a CVT only, while the diesel unit can only be had with a manual transmission.
New Skoda Octavia Vs Honda Civic Vs New Elantra – Pricing Comparison
The 2019 Hyundai Elantra is priced between Rs 15.89 lakh and Rs 20.39 lakh (all prices, ex-showroom for petrol trim). On the other hand, Honda retails the Civic at a starting price of Rs 17.93 lakh (ex-showroom), which goes up to Rs 22.34 lakh (ex-showroom).
As of now, the current-gen Skoda Octavia has an ex-showroom starting price of Rs 15.99 lakh, and goes up to Rs 25.99 lakh for the top-end diesel variant. Expect the 2020 Octavia to carry a marginal premium over the current price when it launches next year.
New Skoda Octavia Vs Honda Civic Vs New Elantra – Verdict
The 2020 Skoda Octavia feels like a complete package and a better deal as compared to the new Hyundai Elantra and the Honda Civic, however everything comes at a price. The top-end variant of the Elantra and the Civic are Rs 5.60 lakh and Rs 3.65 lakh more affordable than the range-topping trim of the current-gen Octavia respectively.
With a new-gen model next year, the Skoda Octavia will likely see a hike in its ex-showroom price. But, if you’re willing to extend your budget, the car will certainly offer you more than the rest two.


I don't accept money as a donation. However, you can support the development of Zipply by registering a dropbox account through this link:
It's free for you and gives us both an additional 250mb of storage on Dropbox!
Thank you!


clustering Package¶
clustering
Module¶
-
class
AdaptivePELE.clustering.clustering.
AltStructures
[source]¶ Bases:
object
Helper class, each cluster will have an instance of AltStructures that will maintain a priority queue (pq) of alternative structures to spawn from encoded as tuples (priority, PDB).
-
addStructure
(PDB, threshold, resname, resnum, resChain, contactThreshold, similarityEvaluator, trajPosition)[source]¶ Perform a subclustering, with sub-clusters of size threshold/2
Parameters: - PDB (
PDB
) – Structure to cluster - threshold (float) – Size of the cluster
- resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- contactThreshold (float) – Distance at which to atoms are considered in contact
- similarityEvaluator (
SimilarityEvaluator
) – Object that determinates the similarity between two structures - trajPosition (int, int, int) – Tuple of (epoch, trajectory, snapshot) that permit identifying the structure added
- PDB (
-
altSpawnSelection
(centerPair)[source]¶ Select an alternative PDB from the cluster center to spawn from
Parameters: centerPair (int, PDB
) – Tuple with the population of the representative structure and the PDB of said structureReturns: PDB
, tuple – PDB of the strucutre selected to spawn and tuple consisting of (epoch, trajectory, snapshot)
-
cleanPQ
()[source]¶ Ensure that the alternative structures priority queue has no more elements than the limit in order to ensure efficiency
-
-
class
AdaptivePELE.clustering.clustering.
CMClusteringEvaluator
(similarityEvaluator, symmetryEvaluator)[source]¶ Bases:
AdaptivePELE.clustering.clustering.ClusteringEvaluator
Helper object to carry out the RMSD clustering
Parameters: - similarityEvaluator (
CMSimilarityEvaluator
) – object that calculates the similarity between two contact maps - symmetryEvaluator (
SymmetryContactMapEvaluator
) – object to introduce the symmetry in the contacts maps
-
checkAttributes
(pdb, resname, resnum, resChain, contactThresholdDistance)[source]¶ Check wether all attributes are set for this iteration
Parameters: - pdb (
PDB
) – Structure to compare - resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- contactThreshold (float) – Distance between two atoms to be considered in contact (default 8)
- pdb (
-
getInnerLimit
(cluster)[source]¶ Return the threshold of the cluster
Parameters: cluster ( Cluster
) – Cluster to compareReturns: float – Threshold of the cluster
-
isElement
(pdb, cluster, resname, resnum, resChain, contactThresholdDistance)[source]¶ Evaluate wether a conformation is a member of a cluster
Parameters: - pdb (
PDB
) – Structure to compare - cluster (
Cluster
) – Cluster to compare - resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- contactThreshold (float) – Distance between two atoms to be considered in contact (default 8)
Returns: bool, float – Whether the structure belong to the cluster and the distance between them
- pdb (
-
limitMax
= {8: 2, 10: 4, 4: 0.2, 6: 0.8}¶
-
limitSlope
= {8: 6, 10: 3, 4: 60, 6: 15}¶
- similarityEvaluator (
-
class
AdaptivePELE.clustering.clustering.
CMSimilarityEvaluator
(typeEvaluator)[source]¶ Bases:
object
Evaluate the similarity of two contactMaps by calculating the ratio of the number of differences over the average of elements in the contacts maps, their correlation or their Jaccard index, that is, the ratio between the intersection of the two contact maps and their union
-
isSimilarCluster
(contactMap, clusterContactMap, symContactMapEvaluator)[source]¶ Evaluate if two contactMaps are similar or not, return True if yes, False otherwise
Parameters: - contactMap (numpy.Array) – contactMap of the structure to compare
- contactMap – contactMap of the structure to compare
- symContactMapEvaluator (
SymmetryContactMapEvaluator
) – Contact Map symmetry evaluator object
Returns: float – distance between contact maps
-
-
class
AdaptivePELE.clustering.clustering.
Cluster
(pdb, thresholdRadius=None, contactMap=None, contacts=None, metrics=None, metricCol=None, density=None, contactThreshold=8, altSelection=False, trajPosition=None)[source]¶ Bases:
object
A cluster contains a representative structure(pdb), the number of elements, its density, threshold, number of contacts, a contactMap(sometimes) and a metric
Parameters: - pdb (
PDB
) – Pdb of the representative structure - thresholdRadius (float) – Threshold of the cluster
- contactMap (numpy.Array) – The contact map of the ligand and the protein
- contacts (float) – Ratio of the number of alpha carbons in contact with the ligand
- metrics (numpy.Array) – Array of the metrics corresponding to the cluster
- metricCol (int) – Column of the prefered metric
- density (float) – Density of the cluster
- contactThreshold (float) – Distance between two atoms to be considered in contact (default 8)
- altSelection (bool) – Flag that controls wether to use the alternative structures (default 8)
- trajPosition (int, int, int) – Tuple of (epoch, trajectory, snapshot) that permit identifying the structure added
-
addElement
(metrics)[source]¶ Add a new element to the cluster
Parameters: metrics (numpy.Array) – Array of metrics of the new structure
-
getContacts
()[source]¶ Get the contacts ratio of the cluster
Returns: float – contact ratio of the cluster
-
getMetric
()[source]¶ Get the value of the prefered metric if present, otherwise return None
Returns: float – Value of the prefered metric
-
getMetricFromColumn
(numcol)[source]¶ Get the value of the metric in column numcol if present, otherwise return None
Parameters: numcol (int) – Column of the desired metric Returns: float – Value of the prefered metric
-
printCluster
(verbose=False)[source]¶ Print cluster information
Parameters: verbose (bool) – Flag to control the verbosity of the code (default is False)
- pdb (
-
class
AdaptivePELE.clustering.clustering.
Clustering
(resname=u'', resnum=0, resChain=u'', reportBaseFilename=None, columnOfReportFile=None, contactThresholdDistance=8, altSelection=False)[source]¶ Bases:
object
Base class for clustering methods, it defines a cluster method that contacts and accumulative inherit and use
Parameters: - resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- reportBaseFilename (str) – Name of the file that contains the metrics of the snapshots to cluster
- columnOfReportFile (int) – Column of the report file that contain the metric of interest
- contactThresholdDistance (float) – Distance at wich a ligand atom and a protein atom are considered in contact(default 8)
-
addSnapshotToCluster
(trajNum, snapshot, origCluster, snapshotNum, metrics=None, col=None, topology=None)[source]¶ Cluster a snapshot using the leader algorithm
Parameters: - trajNum (int) – Trajectory number
- snapshot (str) – Snapshot to add
- origCluster (int) – Cluster found in the previos snapshot
- snapshotNum (int) – Number of snapshot in its trajectory
- metrics (numpy.Array) – Array with the metrics of the snapshot
- col (int) – Column of the desired metrics
- topology (list) – Topology for non-pdb trajectories
Returns: int – Cluster to which the snapshot belongs
-
cluster
(paths, ignoreFirstRow=False, topology=None, epoch=None, outputPathConstants=None)[source]¶ Cluster the snaptshots contained in the paths folder
Parameters: - paths (list) – List of folders with the snapshots
- ignoreFirstRow (bool) – Flag wether to ignore the first snapshot of a trajectory
- topology (
Topology
) – Topology object containing the set of topologies needed for the simulation - epoch (int) – Epoch number
- outputPathConstants (
OutputPathConstants
) – Contains outputPath-related constants
-
filterClustersAccordingToBox
(simulationRunnerParams)[source]¶ Filter the clusters to select only the ones whose representative structures will fit into the selected box
Parameters: simulationRunnerParams ( SimulationParameters
) –SimulationParameters
Simulation parameters objectReturns list, list: – list of the filtered clusters, list of bools flagging wether the cluster is selected or not
-
filterClustersAccordingToMetric
(clustersFiltered, filter_value, condition, col_filter)[source]¶ Filter the clusters to select only the ones whose metric fits an specific criterion
Parameters: - clustersFiltered (list) – List of clusters to be processed
- filter_value (float) – Value to use in the filtering
- condition (str) – Whether to use > or < condition in the filtering
- col_filter (int) – Column of the report to use
Returns list, list: – list of the filtered clusters, list of bools flagging whether the cluster is selected or not
-
getCluster
(clusterNum)[source]¶ Get the cluster at index clusterNum
Returns: Cluster
– Cluster at clusterNum
-
getClusterListForSpawning
()[source]¶ Return the clusters object to be used in the spawning
Returns: Clusters
– Container object for the clusters
-
getMetricsFromColumn
(col)[source]¶ Get the metric of the clusters
Parameters: col (int) – Column to select the metric Returns: np.array – Array containing the metric of the clusters
-
getOptimalMetric
(column=None, simulationType=u'min')[source]¶ Find the cluster with the best metric
Parameters: - column (int) – Column of the metric that defines the best cluster, if not specified, the cluster metric is chosen
- simulationType (str) – Define optimal metric as the maximum or minimum, max or min
Returns: int – Number of cluster with the optimal metric
-
setCol
(col)[source]¶ Set the column of the prefered column to col
Parameters: col (int) – Column of the prefered column
-
updateRepeatParameters
(repeat, steps)[source]¶ Update parameters that should be extracted from the simulation object
Parameters: - repeat (bool) – Whether to avoid repeating steps (False for PELE, True for md)
- steps (int) – steps per epoch
-
writeClusterMetric
(path, metricCol)[source]¶ Write the metric of each node in the conformation network in a tab-separated file
Parameters: - path (str) – Path where to write the network
- metricCol (int) – Column of the metric of interest
-
writeConformationNodePopulation
(path)[source]¶ Write the population of each node in the conformation network in a tab-separated file
Parameters: path (str) – Path where to write the network
-
writeOutput
(outputPath, degeneracy, outputObject, writeAll)[source]¶ Writes all the clustering information in outputPath
Parameters: - outputPath (str) – Folder that will contain all the clustering information
- degeneracy (list) – Degeneracy of each cluster. It must be in the same order as in the self.clusters list
- outputObject (str) – Output name for the pickle object
- writeAll (bool) – Wether to write pdb files for all cluster in addition of the summary
-
class
AdaptivePELE.clustering.clustering.
ClusteringBuilder
[source]¶ Bases:
object
-
buildClustering
(clusteringBlock, reportBaseFilename=None, columnOfReportFile=None)[source]¶ Builder to create the appropiate clustering object
Parameters: - clusteringBlock (dict) – Parameters of the clustering process
- reportBaseFilename (str) – Name of the file that contains the metrics of the snapshots to cluster
- columnOfReportFile (int) – Column of the report file that contain the metric of interest
Returns: Clustering
– Clustering object selected
-
-
class
AdaptivePELE.clustering.clustering.
Clusters
[source]¶ Bases:
object
-
addCluster
(cluster)[source]¶ Add a new cluster
Parameters: cluster ( Cluster
) – Cluster object to insert
-
getCluster
(clusterNum)[source]¶ Get the cluster at position clusterNum
Parameters: clusterNum (int) – Index of the cluster to retrieve Returns: Cluster
– Cluster at position clusterNum
-
getNumberClusters
()[source]¶ Get the number of clusters contained
Returns: int – Number of clusters contained
-
-
class
AdaptivePELE.clustering.clustering.
ConformationNetwork
[source]¶ Bases:
object
Object that contains the conformation network, a network with clusters as nodes and edges representing trantions between clusters. The network is stored using the networkx package[1]
[1] Networkx python package https://networkx.github.io -
add_edge
(source, target)[source]¶ Add an edge to the network (wrapper for networkx method)
Parameters: - source (int) – Name of the source node
- target (int) – Name of the target node
-
add_node
(node, **kwargs)[source]¶ Add a node to the network (wrapper for networkx method)
Parameters: - node (int) – Name of the node
- kwargs (keyword arguments, optional) – Set or change attributes using key=value.
-
createPathwayToCluster
(clusterLeave)[source]¶ Retrace the FDT from a specific cluster to the root where it was discovered
Parameters: clusterLeave (int) – End point of the pathway to reconstruct Returns: list – List of snapshots conforming a pathway
-
-
class
AdaptivePELE.clustering.clustering.
ContactMapAccumulativeClustering
(thresholdCalculator, similarityEvaluator, resname=u'', resnum=0, resChain=u'', reportBaseFilename=None, columnOfReportFile=None, contactThresholdDistance=8, symmetries=None, altSelection=False)[source]¶ Bases:
AdaptivePELE.clustering.clustering.Clustering
Cluster together all snapshots that have similar enough contactMaps. This similarity can be calculated with different methods (see similariyEvaluator documentation)
Parameters: - thresholdCalculator (
ThresholdCalculator
) – ThresholdCalculator object that calculate the threshold according to the contacts ratio - similarityEvaluator (object) – object that calculates the similarity between two contact maps
- resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- reportBaseFilename (str) – Name of the file that contains the metrics of the snapshots to cluster
- columnOfReportFile (int) – Column of the report file that contain the metric of interest
- contactThresholdDistance (float) – Distance at wich a ligand atom and a protein atom are considered in contact(default 8)
- symmetries (list) – List of symmetric groups
- altSelection (bool) – Flag that controls wether to use the alternative structures (default 8)
- thresholdCalculator (
-
class
AdaptivePELE.clustering.clustering.
ContactsClustering
(thresholdCalculator, resname=u'', resnum=0, resChain=u'', reportBaseFilename=None, columnOfReportFile=None, contactThresholdDistance=8, symmetries=None, altSelection=False)[source]¶ Bases:
AdaptivePELE.clustering.clustering.Clustering
Cluster together all snapshots that are closer to the cluster center than certain threshold. This threshold is assigned according to the ratio of number of contacts over the number of heavy atoms of the ligand
Parameters: - resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- thresholdCalculator (
ThresholdCalculator
) – ThresholdCalculator object that calculate the threshold according to the contacts ratio - reportBaseFilename (str) – Name of the file that contains the metrics of the snapshots to cluster
- columnOfReportFile (int) – Column of the report file that contain the metric of interest
- contactThresholdDistance (float) – Distance at wich a ligand atom and a protein atom are considered in contact(default 8)
- symmetries (list) – List of symmetric groups
- altSelection (bool) – Flag that controls wether to use the alternative structures (default 8)
-
class
AdaptivePELE.clustering.clustering.
ContactsClusteringEvaluator
(RMSDCalculator_object)[source]¶ Bases:
AdaptivePELE.clustering.clustering.ClusteringEvaluator
Helper object to carry out the RMSD clustering
Parameters: RMSDCalculator ( RMSDCalculator
) – object that calculates the RMSD between two conformations-
checkAttributes
(pdb, resname, resnum, resChain, contactThresholdDistance)[source]¶ Check wether all attributes are set for this iteration
Parameters: - pdb (
PDB
) – Structure to compare - resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- contactThreshold (float) – Distance between two atoms to be considered in contact (default 8)
- pdb (
-
getInnerLimit
(cluster)[source]¶ Return the threshold of the cluster
Parameters: cluster ( Cluster
) – Cluster to compareReturns: float – Threshold of the cluster
-
isElement
(pdb, cluster, resname, resnum, resChain, contactThresholdDistance)[source]¶ Evaluate wether a conformation is a member of a cluster
Parameters: - pdb (
PDB
) – Structure to compare - cluster (
Cluster
) – Cluster to compare - resname (str) – String containing the three letter name of the ligand in the pdb
- resnum (int) – Integer containing the residue number of the ligand in the pdb
- resChain (str) – String containing the chain name of the ligand in the pdb
- contactThreshold (float) – Distance between two atoms to be considered in contact (default 8)
Returns: bool, float – Whether the structure belong to the cluster and the distance between them
- pdb (
-
-
class
AdaptivePELE.clustering.clustering.
MSMClustering
(n_clusters, tica=False, resname=u'', resnum=0, resChain=u'', symmetries=None, atom_Ids=u'', writeCA=False, sidechains=False, tica_lagtime=10, tica_nICs=3, tica_kinetic_map=True, tica_commute_map=False)[source]¶ Bases:
AdaptivePELE.clustering.clustering.Clustering
Cluster the trajectories to estimate a Markov State Model (MSM)
-
cluster
(paths, topology=None, epoch=None, outputPathConstants=None)[source]¶ Cluster the snaptshots contained in the paths folder
Parameters: - paths (list) – List of folders with the snapshots
- topology (
Topology
) – Topology object containing the set of topologies needed for the simulation - epoch (int) – Epoch number
- outputPathConstants (
OutputPathConstants
) – Contains outputPath-related constants
-
filterClustersAccordingToBox
(simulationRunnerParams)[source]¶ Filter the clusters to select only the ones whose representative structures will fit into the selected box
Parameters: simulationRunnerParams ( SimulationParameters
) –SimulationParameters
Simulation parameters objectReturns list, list: – list of the filtered clusters, list of bools flagging wether the cluster is selected or not
-
filterClustersAccordingToMetric
(clustersFiltered, filter_value, condition, col_filter)[source]¶ Filter the clusters to select only the ones whose metric fits an specific criterion
Parameters: - clustersFiltered (list) – List of clusters to be processed
- filter_value (float) – Value to use in the filtering
- condition (str) – Whether to use > or < condition in the filtering
- col_filter (int) – Column of the report to use
Returns list, list: – list of the filtered clusters, list of bools flagging whether the cluster is selected or not
-
getClusterListForSpawning
()[source]¶ Return the clusters object to be used in the spawning
Returns: Clusters
– Container object for the clusters
-
updateRepeatParameters
(repeat, steps)[source]¶ Update parameters that should be extracted from the simulation object
Parameters: - repeat (bool) – Whether to avoid repeating steps (False for PELE, True for md)
- steps (int) – steps per epoch
-
writeOutput
(outputPath, degeneracy, outputObject, writeAll)[source]¶ Writes all the clustering information in outputPath
Parameters: - outputPath (str) – Folder that will contain all the clustering information
- degeneracy (list) – Degeneracy of each cluster. It must be in the same order as in the self.clusters list
- outputObject (str) – Output name for the pickle object
- writeAll (bool) – Wether to write pdb files for all cluster in addition of the summary
-
-
class
AdaptivePELE.clustering.clustering.
NullClustering
[source]¶ Bases:
AdaptivePELE.clustering.clustering.Clustering
Don’t generate any clustering, works essentially as a placeholder for simulation when no clustering is desired
-
cluster
(paths, topology=None, epoch=None, outputPathConstants=None)[source]¶ Cluster the snaptshots contained in the paths folder
Parameters: - paths (list) – List of folders with the snapshots
- topology (
Topology
) – Topology object containing the set of topologies needed for the simulation - epoch (int) – Epoch number
- outputPathConstants (
OutputPathConstants
) – Contains outputPath-related constants
-
writeOutput
(outputPath, degeneracy, outputObject, writeAll)[source]¶ Writes all the clustering information in outputPath
Parameters: - outputPath (str) – Folder that will contain all the clustering information
- degeneracy (list) – Degeneracy of each cluster. It must be in the same order as in the self.clusters list
- outputObject (str) – Output name for the pickle object
- writeAll (bool) – Wether to write pdb files for all cluster in addition of the summary
-
-
class
AdaptivePELE.clustering.clustering.
SequentialLastSnapshotClustering
(resname=u'', resnum=0, resChain=u'', reportBaseFilename=None, columnOfReportFile=None, contactThresholdDistance=8, altSelection=False)[source]¶ Bases:
AdaptivePELE.clustering.clustering.Clustering
Assigned the last snapshot of the trajectory to a cluster. Only useful for PELE sequential runs
-
addSnapshotToCluster
(snapshot, metrics=None, col=None, topology=None)[source]¶ Cluster a snapshot using the leader algorithm
Parameters: - trajNum (int) – Trajectory number
- snapshot (str) – Snapshot to add
- metrics (numpy.Array) – Array with the metrics of the snapshot
- col (int) – Column of the desired metrics
- topology (list) – Topology for non-pdb trajectories
Returns: int – Cluster to which the snapshot belongs
-
cluster
(paths, topology=None, epoch=None, outputPathConstants=None)[source]¶ Cluster the snaptshots contained in the paths folder
Parameters: - paths (list) – List of folders with the snapshots
- topology (
Topology
) – Topology object containing the set of topologies needed for the simulation - epoch (int) – Epoch number
- outputPathConstants (
OutputPathConstants
) – Contains outputPath-related constants
-
-
AdaptivePELE.clustering.clustering.
filterRepeatedReports
(metrics, column=2)[source]¶ Filter the matrix containing the report information to avoid rejected steps
Parameters: - metrics (np.ndarray) – Contents of the report file
- column (int) – Column to check for repeats
Returns: np.ndarray – Contents of the report file filtered
-
AdaptivePELE.clustering.clustering.
getAllTrajectories
(paths)[source]¶ Find all the trajectory files in the paths specified
Parameters: paths (str) – The path where to find the trajectories Returns: list – A list with the names of all th trajectories in paths
-
AdaptivePELE.clustering.clustering.
loadReportFile
(reportFile)[source]¶ Load a report file and filter it
Parameters: reportFile (str) – Name of the report file Returns: np.ndarray – Contents of the report file
clusteringTypes
Module¶
thresholdcalculator
Module¶
-
class
AdaptivePELE.clustering.thresholdcalculator.
ThresholdCalculatorBuilder
[source]¶ Bases:
object
-
build
(clusteringBlock)[source]¶ Bulid the selecte thresholdCaulcualtor object
Parameters: clusteringBlock (dict) – Parameters block corresponding to the threshold calculator Returns: ThresholdCalculator
– thresholdCalculator object selected
-
-
class
AdaptivePELE.clustering.thresholdcalculator.
ThresholdCalculatorConstant
(value=2)[source]¶ Bases:
AdaptivePELE.clustering.thresholdcalculator.ThresholdCalculator
-
class
AdaptivePELE.clustering.thresholdcalculator.
ThresholdCalculatorHeaviside
(conditions=None, values=None)[source]¶ Bases:
AdaptivePELE.clustering.thresholdcalculator.ThresholdCalculator


I'm a frontend engineer in Sydney.
I'm specialised in frontend technologies and popular JS frameworks such as Angular.
View my skillset
View my works
Contact me
There's nothing on this side.


#include <block_base.hpp>
Public Types | |
|
typedef boost::singleton_pool< pool, sizeof(char)> | pool_t |
| typedef std::list< numeric::interval< long >, fast_pool_allocator< numeric::interval< long > > > | pool_lii |
Static Public Member Functions | |
|
static thread_specific_ptr< pool_lii > & | static_plii () |
| static bool | is_from (void *p) |
| static void | init () |
| static block_base * | top (void *p) |
| static void * | allocate (std::size_t s) |
| static void | deallocate (void *p, std::size_t s) |
Pool where all pointee objects are allocated and tracks memory blocks for later enlisting & marking the block_header
the pointee object belongs to.
| typedef std::list< numeric::interval<long>, fast_pool_allocator< numeric::interval<long> > > boost::detail::bp::pool::pool_lii |
Syntax helper.
| static void* boost::detail::bp::pool::allocate | ( | std::size_t | s | ) | [inline, static] |
Pointee object allocator and stacking of the newly allocated memory boundary.
| s | Size of the memory block to allocate. |
| static void boost::detail::bp::pool::deallocate | ( | void * | p, | |
| std::size_t | s | |||
| ) | [inline, static] |
Pointee object deallocator and removal of the boundaries that were allocated before the pointer was allocated.
| p | Address of the memory block to deallocate. | |
| s | Size of the memory block. |
| static bool boost::detail::bp::pool::is_from | ( | void * | p | ) | [inline, static] |
Tells whether a pointer is part of the pool or not.
| p | Pointer to object. |
| static block_base* boost::detail::bp::pool::top | ( | void * | p | ) | [inline, static] |
Tracks the memory boundaries where a pointer belongs to. Also gets rid of the boundaries that were allocated before the pointer was allocated.
| p | Pointer that is being tracked. |
p
belongs to.


Directory Parser
Add level headers in descending order:
Select the Directory CSV file
Select the JSON output structure
Flat - Row by Row
Tree - Org Hierarchy
Upload
Messages:


Installation and configuration
NuGet configuration
To get XData NuGet packages You will need modify nuget.config as described below and place it in project root folder near Your solution file.
<?xml version="1.0" encoding="utf-8"?>
<configuration>
<packageSources>
<clear />
<add key="xdata" value="https://nuget.pkg.github.com/mickfierte/index.json" />
<add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
</packageSources>
<packageSourceCredentials>
<xdata>
<add key="Username" value="API_KEY" />
<add key="ClearTextPassword" value="API_KEY" />
</xdata>
</packageSourceCredentials>
</configuration>
* replace API_KEY with API key provided by author
Installation
To start use XData basic functionality is required to setup NuGet XData package. XData plugins or additional modules can be downloaded and used separately.
To work with related objects (Unit of Work implementation) is required to setup NuGet XData WorkSet (UnitOfWork) package.
To implement security session and use application data access with XData is required to setup NuGet XData Security package.
To use one or more SQL dialect, SQL adapter, specific .Net 4.0 log writer XData plugins it can be installed like any other NuGet package.
To deploy application in three-tier architecture read here
Acquiring XData configuration during runtime
.Net Standard 2.0:
XData can be dynamically configured when defining XData service (see AddXData) in ServiceCollection using optional parameter options in LINQ style.
.AddSingleton(typeof(IConfigurationRoot), x => null)
.AddXData(x => x.AddDialect("postgresql", XDataAdapter.PostgreSql.Dialect)
.AddAdapter("postgresql", XDataAdapter.PostgreSql.Adapter)
.AddContext("test", "postgresql", "postgresql",
"Server=localhost;Database=XDataTest;User Id=postgres;Password=123456", true))
Configuration file in .Net Standard 2.0 version is read by Microsoft.Extensions.Configuration service registered during application startup.
Tip
XDataAdapter.PostgreSql.Dialect, XDataAdapter.PostgreSql.Adapter and similar constants for other databases is defined in adapter NuGet packages.
.Net 4.0:
XData can be dynamically configured when acquiring XData engine XDataManager.InitXData using optional parameter options in LINQ style.
Warning
Signature of XDataManager.InitXData method is slightly different for .Net 4.0 version! See versions comparison for details.
var dataEngine = XDataManager.InitXData(x =>
x.AddDialect("postgresql", XData.PostgreSql.Dialect)
.AddAdapter("postgresql", XData.PostgreSql.Adapters)
.AddContext("test", "postgresql", "postgresql",
"Server=localhost;Database=XDataTest;User Id=postgres;Password=123456", true));
//or using configuration file
var dataEngine = XDataManager.InitXData(x => x.UseConfiguration(
System.Web.Configuration.WebConfigurationManager.OpenWebConfiguration("~")))
Tip
When using both versions You can use IDataOptions methods to store partial non secure connection string only and fill credentials during runtime. Security related information can be obtained separately from some secure source.
Configuration XData using config file
Tip
When using .Net Standard 2.0 version config file can be formatted in any notation but structure of config file need to be correspond XML structure described here
Important
When using XML formatted config file required to add specific descriptor for XData specific section "xdata"
<configuration>
<configSections>
<section name="xdata" type="System.Configuration.IgnoreSectionHandler"/>
</configSections>
...
Important
Check configSections section is first section inside XML configuration file!
Connection strings for each of context must to be declared in standard section connectionStrings and name attribute should equal to context name. Connection strings is required on client side only when two-tier (client-server) architecture used.
<connectionStrings>
<add name="TEST"
connectionString="Data Source=(local);Initial Catalog=XDataTest;User Id=test;Password=test"/>
</connectionStrings>
There are three possible ways to secure connection string in configuration file:
- Cipher config file section connectionStrings section
- Using partial connection strings during runtime
- Deploy application in three tier mode. In this case connection string is not required to be configured on client side.
XData specific section xdata has a structure:
<xdata default="TEST_ORACLE_ODP" log="XDataTraceLog.TraceLog, XDataTraceLog">
<adapter name="ORACLE_ODP" assembly="XOracleODPAdapter"/>
<dialect name="ORACLE" assembly="XOracleDialect"/>
<context name="TEST_ORACLE_ODP" adapter="ORACLE_ODP" dialect="ORACLE"
sequence="XDataObjectTest.MySequenceRule, XDataObjectTest" concurrencyError="-20001"/>
</xdata>
The xdata section required to contain attribute default with context name used by default. Attribute log optional, used for .Net 4.0 version only (.Net Standard 2.0 version used Microsoft.Extensions.Logging service). Log attribute value is assembly qualified type name for ILogWriter realization (see available log plugins or implement any You want log system adapter). Log messages minimal severity level filters can be configured using native tools and abilities provided with chosen log subsystem.
Inside xdata section for each of context required elements:
- dialect (required always, can be shared between multiple contexts) - register an unique alias to specific RDBMS SQL dialect support. Attribute name contains an alias of dialect. Attribute assembly - assembly name of specific dialect plugin. When plugin implementation support additional configuration settings, element dialect may have an specifically organized internal structure described in plugin readme file.
- adapter (required when two-tier architecture is used only, can be shared between multiple contexts) - register unique alias to adapter for specific ADO.Net provider. Attribute name contains an alias of adapter. Attribute assembly - assembly name of specific adapter plugin. When plugin implementation support additional configuration settings, element adapter may have an specifically organized internal structure described in plugin readme file.
- context (required always) - contains context settings. Attribute name contains context name. Attribute adapter (required when two-tier architecture is used only) contains adapter alias. Attribute dialect - dialect alias. In case of using sequences required to specify attribute sequence contains assembly qualified type name of ISequenceNameRule implementation. When optimistic concurrency error code need to have a special value for some reason (see specific adapter readme file) set concurrencyError attribute to specific error code value.
- proxy (required when three-tier architecture is used only) - declare WCF client endpoint name for context named same as proxy attribute name value. WCF client endpoint name is stored in endpoint attribute value. Same WCF endpoint can be used for multiple contexts. Contexts names on client and server must to have same names. Deploying and configuration process for three tier architecture is described here.
Deploying application in three three-tier architecture
Project organization rules and assembly deployment principles to deploy application using three-tier architecture described here.
Note
Three-tier architecture can be applied over .Net 4.0 version only! See next versions to use three-tier feature on .Net Standard 2.0 version.
Install and configure server
Server is implemented as WCF service XData.Server.dll. Base engine XData.dll library is required to server functionality. As well as log plugins, dialects and adapters to connect database directly. To run Your application business logic on server side server logic and data mapping modules are required on server side two.
Limits to choose protocol can be used as transport between client and server:
- Duplex support
- Reenter-ability inside one session support
It's recommended to host XData.Server on IIS. By default IIS is not configured to activate service over net.tcp, and if You want to use this protocol, see here to configure it.
Changes on client side
When three-tier architecture is used, required to obtain special module XData.Remote. Application folder must contain client logic and data mapping modules, as well as used by Your application log modules, SQL dialect modules BUT now adapters not required to contexts used in three-tier mode.
In configuration file, is required to configure WCF client according Your server settings. Section xdata must to be configured as described above with defining of proxy elements for every context that used three-tier architecture. Remote contexts must to have same names on client and server. Sample three-tier configuration can be obtained from XData test project.
Tip
You able to combine local connections to some databases with one or more three-tier servers. In the same time You can use multiple dedicated servers, each for one or more contexts.
Tip
You can fast and simple switch from three-tier mode to client server mode and then back to three-tier by commenting/uncommenting proxy descriptions. It's a very useful feature to debug server logic code ;)


 The story may not be the most believable but the acting is so deliciously good and fast-paced you are not going to care; it will seem like a true story.
The movie opens with a wedding in a large outdoor garden.
Max (David Schwimmer) and Jay (Jason Lee) are best friends who go way back together. While Max, a sports broadcaster who has more women than should be allowed any one man in a lifetime, that is about all he does know. Women and sports. Jay, on the other hand, is more literary and cultured. One day Jay tells Max he has a girl, Samantha, whom Max absolutely must date. Affectionately called "Sam," she (the adorable Mili Avatal), happens to be an editor at a publishing house where Jay is having his book made ready. Playboy Max and cultured Sam could hardly be less alike.
In a hysterically funny scene, a real belly-laugher, Max berates Jay for having ruined his reputation by having himself be seen and photographed with a loud-mouthed drunk. In detail he describes last night to an incredulous Jay.
Very shortly thereafter Max is moving into Sam's apartment. Surprised? Never fear; it is all explained in the movie.. Sam makes an announcement, on a sports broadcast listened to by his many female friends, that he is no longer "available." At this point I should mention that while Schwimmer and Lee are handsome, the beautiful, Ms. Avatal, a shining star in Israel, has the most expressive eyes and face anywhere on the screen today. Lovely. Worth the price of admission;
All would be well as both Sam and Max appear to be deeply in love. But Max, the kind of guy who never heard "If it ain't broke, don't fix it," begins to worry what if one day Sam decides she has had enough of him and dumps him; he has always been the dumper and now is afraid of possibly ending up a dumpee. He must find out if Sam is a one-man woman. If Jay would play up to her with flowers, dinners, nice words, would he be able to get Sam into the sack? If "Yes" then he better know before he marries her.
Jay, of course, tells him he is crazy and he will not do it but Max begs and so Jay goes along. The idea is not to bed her but only to see if that were possible. As well we all know, nothing ever works out as planned which is why this riotous comedy takes a very humorous turn.
Almost stealing the movie from the three main characters is Bonnie Hunt as Linda, a woman at the wedding who is relating to two breathless guests what the wedding is all about.. She knows every bit of the story that leads up to the wedding and she relates what is happening while the movie flashes back and forth in time to show what it is she is describing. A gimmick but here used to perfection. Not to be missed.
Directed by Doug Ellin Screenplay is by James Frey and Doug Ellin from story by James Frey. 3 Bytes
4 Bytes = Superb 3 Bytes = Too good to miss 2 Bytes = Average 1 Byte = Save your money
Copyright 1998 Ben Hoffman
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


This is an HTML page.
For more information, please visit www.phonegap.com.
PhoneGap source is available on GitHub (http://www.github.com/sintaxi/phonegap/tree).


http://click.papajohns-specials.com/?qs=df2f0d1cac709f3f9b5a834bea92a0f6b86ada309baa07b318cfcc8c0cab015c4a8e8f1f8e596013
Any Large Pizza up to five toppings including Specialties for only $9.99
http://click.papajohns-specials.com/?qs=df2f0d1cac709f3f9b5a834bea92a0f6b86ada309baa07b318cfcc8c0cab015c4a8e8f1f8e596013
ORDER NOW! Try Papa John’s mobile web ordering!
| Trouble viewing this email?
http://click.papajohns-specials.com/?qs=df2f0d1cac709f3f7a782b52d7bd4118f3f6753ce778e8f0b7bd10674cbbaf1b29e2f239b0fc4726
View in browser.
http://click.papajohns-specials.com/?qs=df2f0d1cac709f3f7a782b52d7bd4118f3f6753ce778e8f0b7bd10674cbbaf1b29e2f239b0fc4726
Any Large* Pizza
including Specialties
$9.99
Promo Code: T409EWM
Expires 4/10/13
Offer not valid in Alaska, Hawaii and Canada.
Online Only Offer.
http://click.papajohns-specials.com/?qs=df2f0d1cac709f3f40e4a621d6ec6068207cebfa88ed63f30bf1cdbb3d84f0d804d93f8148ab071f
* Up to 5 toppings or specialty.
http://click.papajohns-specials.com/?qs=df2f0d1cac709f3f40e4a621d6ec6068207cebfa88ed63f30bf1cdbb3d84f0d804d93f8148ab071f
Offer good for a limited time at participating Papa John’s restaurants. Not valid with any other coupons or discounts. Limited delivery area. Delivery fee may apply. Customer responsible for all applicable taxes. Prices may vary in Alaska and Hawaii.
You have received this Email because
you have selected the option to receive notices
about specials and other online related information from us in your Email Preferences.
To ensure future delivery of emails, please add
mailto<EMAIL_ADDRESS><EMAIL_ADDRESS>mailto<EMAIL_ADDRESS>to your safe sender list or address book.
http://click.papajohns-specials.com/?qs=df2f0d1cac709f3f1a5a7bb953e19380a4d529d5b2e8c5a47fccb0e61d32782fd013f983c58802a9
Privacy Policy
Papa John’s Online
<EMAIL_ADDRESS><EMAIL_ADDRESS>1-877-547-7272 (PAPA)
Company Address:
Papa John’s
2002 Papa John’s Blvd
Louisville, KY 40299
© 2013 Papa John’s International, Inc. All Rights Reserved.


On Monday last week, someone broke a window on the car. Nothing was taken. I put it down to vandalism and P reported it. I was a pain because the coppers wanted her to leave it all untouched so they could dust it. So she had to ride her bike to work, and the weather was really nasty. To be honest, I'm not sure I'm comfortable with her riding to work, because its right across town and the drivers are ill disposed towards cyclists in general. I ride a lot and frequently have near misses. Basically there is no point riding assertively because a sizable quantity of drivers don't think you have the same rights in the rule book as they do. Like they do stuff to you that they wouldn't try against another car or even a motorbike. I don't want to think of her coming to grief at the grill of some auto-fundamentalist. This is what concerns me.
I decided to drop 7mg of DOM on tuesday afternoon. I've not dabbled for two months now, which has probably been wise. I hadn't been that well, and I know phens seem to make me a little wheezier at the best of times. I'd heard it said that DOM was as powerfull as acid, by some more knowledgeable voices. This I wanted to know about more intimately. I have witnessed its ability to encapsulate both the the euphoric and the challenging within one trip, very dramatically.
It was long ago, but my main impression of those distant acid trips was primarily wonderment and good old hilarity. Still, 7mg of DOM it was, in a skin, down the hatch with a cuppa. I ran a deep hot bath to sooth and cleanse my aching body after the cold and wet morning out on delivery. I dosed at 2pm and by 3, I was getting exceedingly high. I was in the bath and watching a piece of blue belly button fluff dance round in the water over me. It appeared multiplied across the surface of the water pirouetting just beneath the surface. The white chamber of the bathroom glistened and danced with jewels and patterns of geometric virtuosity.
The stimulation of my body muscles was pleasurable and felt complementary to the hot water. I lazed for an hour or so, during which the phone went. I stayed put though. After I got out the bath and dried, I couldn't help looking at myself in the mirror. I thought I was looking in good shape. I've got good muscles and almost a six pack going on there. Except I don't have to go to any fancy gymn or anything.
I checked the answerphone, and it was P, telling me that the copper would be round at 4.30, in case she didn't get back in time. At that point I started to become somewhat alarmed at the prospect of entertaining a member of the constabulary in my then state of mind. I went for a joint in the shed to ponder the situation. Enlightenment struck in the form of doing the washing up. Maybe the mundanity of the washing up might enable me to ground myself somewhat. Quite how this would take place was unclear in my mind.
I got stuck in anyway and put on the calming voice of Radio 4. I made a carefully constructed structure out of the crockery on the draining board which maximized the usage of all available draining space and avoided any potential pooling points or sumps. P arrived home thankfully, and I felt better imediately. She, I can handle, when the air is filled with threads of light and my mind a little wider than usual. We conversed about our days, although I omitted the bit about dropping the DOM. We had some dinner which I cooked fairly succesfully, after which the bell went.
I started to feel a bit jittery, so I thought I'd take the dishes to the kitchen while P talked to the copper. Having done this, I started to think that it would look suspicious if I stayed in the kitchen, so I stood in the doorway of the lounge and introduced myself. Jesus was doing the driving baby. Trust in the force. Try not, Do. Etc. I shook his hand, and he continued to take P's statement. He was a healthily stocky mid-forties chap. My emotional tuning was quite sensitive at that point, and I felt a sense of benevolent concern coming from this policeman towards us.
He seemed diligent, and I also sensed that he took the oppertunity to meet people as a way to promote bringing the community onside to help tackle the crime thing. I felt troubled that I as a pothead and psychedelic enthusiast was the other side of the fence to him, because I mainly support the general project of law and order in all other areas except drug policy. I was sober enough not to share these thoughts with him as they ocurred to me. He left and I could resume my trip. I did a bit more washing up.
Visually, things were getting really quite out of hand now. All the colours in my visual field, what I was looking at and the decorations it had sprouted, were now tinted a strong luminous tinge, fairly garish. It had the vivid tones of some breakfast television program set. And, of course, it was strewn with linear currents of energy and sinew. I felt positively euphoric and giggled at it all. I stroked my bearded chin (two week vintage) and imagined my entire body covered by a similar kind of beardiness. Sure enough I saw it sprouting from all round my arms and hands, including the palms. This made me laugh more, especially since it was a kind of pink furryness through the filter of my visual hallucination. This is the kind of purely surreal hilarity I remembered from old.
At one point I was suddenly a bit negative and dark in trajectory, and I desperately tried to hit on some good music on my hard drive. However it occurred to me that I hadn't heard the latest Giles Peterson show on Radio 1. I prayed for him to be on form, with something to bring me round. Sure enough he played a Louie Vega track with his Mrs. Anané, singing. It was a cover of a track called A New Born Day, by Belladonna, from the mid seventies. It was a medium tempo latino house style track with a really muscular bass, but still laid back. Anané sings a love song in her rich voice and it was all pure honey to listen to. I had to get on to gemmrecords to nail my copy. Out on Tommy Boy. Cheers Giles.
Overal it was a good trip, with some moments of doubt and deep personal stuff, but I think its better to know what is back there, than not sometimes. I think that's one of the reasons I keep doing this kind of thing. I struggled to sleep at all, and Wednesday was a non day where I was probably still tripping but was too tired to be very constructive. I couldn't really settle on any one course of activity for any length of time. I did enjoy some good music and smokes, and finaly went to the shops to fix dinner at 3pm.
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.


{% extends "layout.html" %} {% block content %} {% with infos = get_flashed_messages(category_filter=["info"]) %} {% if infos %} {% for message in infos %}
During the course we will create a RESTful web API which could be used by a Professional Head Hunting company, storing data about professions, candidates, jobs, clients, contracts and preferences.
Using the Web API the reader can build frontend applications for different platforms (website and applications for smartphones and tablets).
{% endblock %}


buffer overflow
`Prev `__
B
`Next `__
--------------
**buffer overflow**: n.
What happens when you try to stuff more data into a buffer (holding
area) than it can handle. This problem is commonly exploited by
`*cracker* <../C/cracker.html>`__\ s to get arbitrary commands executed
by a program running with root permissions. This may be due to a
mismatch in the processing rates of the producing and consuming
processes (see `*overrun* <../O/overrun.html>`__ and `*firehose
syndrome* <../F/firehose-syndrome.html>`__), or because the buffer is
simply too small to hold all the data that must accumulate before a
piece of it can be processed. For example, in a text-processing tool
that `*crunch* <../C/crunch.html>`__\ es a line at a time, a short line
buffer can result in `*lossage* <../L/lossage.html>`__ as input from a
long line overflows the buffer and trashes data beyond it. Good
defensive programming would check for overflow on each character and
stop accepting data when the buffer is full up. The term is used of and
by humans in a metaphorical sense. “What time did I agree to meet you?
My buffer must have overflowed.” Or “If I answer that phone my buffer is
going to overflow.” See also `*spam* <../S/spam.html>`__, `*overrun
screw* <../O/overrun-screw.html>`__.
--------------
+---------------------------------+----------------------------+------------------------+
| `Prev `__ | `Up <../B.html>`__ | `Next `__ |
+---------------------------------+----------------------------+------------------------+
| buffer chuck | `Home <../index.html>`__ | bug |
+---------------------------------+----------------------------+------------------------+


PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
Contact:
Chris Fonnesbeck


Item Utility Changes
|
- Bombs opens Wrecked Ship Reserve location
- Spazer opens Waterway and Botwoon hallway
-
Samus begins with Starter Charge Beam that does the same
damage as uncharged shots
-
Pseudo Screws and Special Beam Attacks do full damage with
Starter Charge Beam
|
Suit Changes
|
- Gravity Suit provides 50% heat damage reduction
-
Varia and Gravity each add 50% damage reduction to enemy
attacks and environmental damage
-
Varia and Gravity stack to reach 75% reduction to enemy
attacks and environmental damage
|
Soft-Lock Prevention
|
- Speed blocks at Dachora pit no longer respawn
-
Shot block added to escape from under early Super bridge
-
Bomb blocks replaced with shot blocks at Spazer, Moat,
Kraid missiles, room before Hi-Jump Boots, and when exiting
the Mission Impossible room
-
Platform raised in first heated Norfair room to not require
Hi-Jump Boots
-
Platforms at bottom of Red Tower adjusted to always be able
to get back up
-
Doors in Construction Zone and above Red Tower are blue
- Animation no longer shown when suits are acquired
|
|
Convenience
|
- Skips Intro and Ceres Station
- Zebes wakes when going right from Morph
-
G4 passage to Tourian opens instantly when all bosses are
killed
- HUD shows max ammo
-
Spazer does not auto-equip on collection if Plasma is
already equipped
- Start screen displays randomizer seed
- Game play statistics shown in ending credits
|
|
Bug Fixes
|
- Fixed heat damage speed echoes bug
- GT Code is disabled
- Spacetime Beam selection disabled
- Fixed Screw Attack menu selection bug
-
Morph Ball can be placed in Hidden and Chozo locations
- Fixes to Morph Ball & Missiles Room States
|


Screenshot
Regional screenshot
Loading...
Review screenshots before uploading?
Upload file
Edit config file
Reload config file


*** User 2017-04-18 14:14:43.916 ***
14:14:43.916 [info] Disabling blocking sync...
*** User 2017-04-18 14:14:43.921 ***
14:14:43.921 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@MBPdeAnneFrance'
*** User 2017-04-18 14:14:45.378 ***
14:14:45.377 [info] Enabling membership...
*** User 2017-04-18 14:14:45.379 ***
14:14:45.379 [info] Disabling blocking sync...
*** User 2017-04-18 14:14:45.384 ***
14:14:45.384 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@MBPdeAnneFrance'
*** User 2017-04-18 14:14:46.842 ***
14:14:46.841 [info] Enabling membership...
*** User 2017-04-18 14:14:46.843 ***
14:14:46.843 [info] Disabling blocking sync...
*** User 2017-04-18 14:14:46.848 ***
14:14:46.848 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@MBPdeAnneFrance'
*** User 2017-04-18 14:14:47.073 ***
Joining node: 'node-3@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 49523
*** User 2017-04-18 14:14:47.073 ***
Joining issued: 'node-3@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 49523
*** User 2017-04-18 14:14:47.073 ***
Joining node: 'node-2@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 49508
*** User 2017-04-18 14:14:47.074 ***
Joining issued: 'node-2@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 49508
*** User 2017-04-18 14:14:47.074 ***
Joining node: 'node-1@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 49497
*** User 2017-04-18 14:14:47.074 ***
Joining issued: 'node-1@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 49497
*** User 2017-04-18 14:14:47.135 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-04-18 14:14:47.136 ***
Finished.
*** CT 2017-04-18 14:14:47.136 *** COVER INFO
Adding nodes to cover test: [runner@MBPdeAnneFrance]
*** CT 2017-04-18 14:14:47.145 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-04-18 14:14:47.145 ***
Case finished: sql_simple_contracted_latency_test
*** User 2017-04-18 14:14:54.187 ***
14:14:54.187 [info] Application lasp exited with reason: stopped
*** User 2017-04-18 14:14:54.188 ***
14:14:54.188 [info] Application partisan exited with reason: stopped
=== Ended at 2017-04-18 14:14:54
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


The Compiler Options page provides all the fitter options settings for the device family the fitter has selected.
CoolRunner-II Advanced Options
The CPLD devices have the following fitter Implementation Options available in the Basic tab:
This option simplifies the total number of logic expressions in a design, and then collapses the logic in order to meet user objectives such as density, speed and timing constraints. This optimization targets CPLD architecture, making it possible to collapse to the macrocell limits, reduce levels of logic, and minimize the total number of p-terms.
Multi-level Logic Optimization optimizes all combinatorial logic arcs spanning from an input pad or register output to an output pad or register input.
Multi-level Logic Optimization operates on combinatorial logic according to the following rules.
If timing constraints are set, the program optimizes for speed to meet timing constraints.
If timing constraints are not set, the program optimizes either for speed or density, depending on the user setting for the Use Timing Optimization option.
If Use Timing Optimization is turned on, the combinatorial logic will be mapped for speed.
If Use Timing Optimization is turned off, the combinatorial logic will be mapped for density. The goal of optimization will then be to reduce the total number of p-terms.
Logic marked with the NOREDUCE property will not be extracted or optimized.
By default, this option is on.
Use Timing Constraints -- This option instructs the fitter use Timing Constraints when fitting the design. If this box is not checked, the fitter will ignore timing constraints, if necessary.
Enable WYSIWYG Mode -- (CoolRunner only) The goal of the WYSIWYG options is to have a netlist reflect the user's specifications, as much as possible. All the nodes declared in the HDL design are preserved. By default, this property is set to Off (Checkbox is not checked) When this property is On (checkbox is checked), XST:
Preserves all the user internal signals (nodes)
Creates source_node constraints in NGC file for all these nodes.
Skips the design optimization (collapse, factorization). Only the Boolean equation minimization is performed.
Optimization Style-- The Optimization Method allows you to select from one of two basic optimization strategies: Density or Speed. Density focuses on solely on density, and Speed focuses solely on speed.
Location Constraints -- The Try selection will attempt to fit the design with the pin assignments specified in the design source. If the design cannot be fit with these pin assignments, the fitter will remove the location constraints and attempt to fit the design with no location constraints. A warning message will tell the user if the location constraints have been removed.
The Try selection will attempt to fit the design with the pin assignments specified in the design source. If the design cannot be fit with these pin assignments, the fitter will ignore the pin assignments.
The On selection will attempt to fit the design with the pin assignments specified in the design source. If the design cannot be fit with these pin assignments, the fitter will notify the user that the device could not fit. It will not unlock the pins under this option.
The Off selection will attempt to fit the design and will ignore the pin assignments specified in the design source. If the design can be fit with no pre-assigned pins, the fitter will assign pins, which can be viewed in the fitter report (filename.fit). The user should take these pin assignments and incorporate them back into the design source file. The user will be notified whether the fitting operation was successful.
Output Slew Rate -- Use this option to control the default output slew rate. You can control the transition time of device output pins by setting the slew rate to Slow or Fast. Limiting the slew rate (Slow) reduces output switching surges in the device. The default is Fast.
Note: Any explicit slew rate control properties in the design or constraints file take precedence over this Output Slew Rate setting.
FF Initial State -- Sets the initial state for all Flip-Flops. The options are Low, High and FPGA.
Collapsing P-Term Limit -- This option controls the degree to which the fitter flattens a design netlist. A logic gate can collapse forward into a subsequent gate only if the number of product terms in the resulting logic function does not exceed the p-term limit. If the path delay of a logic function is not acceptable, increase the p-term limit to allow the larger functions to be further flattened. Choose a number from 3 to 48.
Collapsing Input Limit -- This is a secondary option for controlling the degree to which the fitter flattens a design netlist. A logic gate can collapse forward into a subsequent gate only if the number of inputs in the resulting logic function does not exceed the input limit. If the design fails to fit the target device because flattening uses up too many of the function block inputs, decrease the input limit to prevent flattening of certain high fan-in functions.
The following options are available under XPLA Implementation Options, Advanced tab.
Enable Fast Input Registers -- Enables the use of the Fast Input path in XPLA3 devices.
Enable Use of Foldback NANDs -- When selected, the software will use foldback NANDs. This increases the capability to fit a design, sometimes at the expense of speed.
Reserve JTAG Pins for ISP -- Checking this box will instruct the fitter to reserve JTAG pins.
The following options are found under the Advanced tab for CoolRunner-II devices.
Use Global Output Enable(s) -- Select this option to allow the fitter to assign input pins used as output enable control to dedicated global OE (GTS) pins of the device. If this option is disabled, only pins identified with the BUFG=OE property in the design (or UCF file) will be assigned to GTS device pins. By default, this option is on.
Use Global Set/Reset -- Select this option to allow the fitter to assign input pins used as register asynchronous reset or preset control to the dedicated global set/reset (GSR) pin of the device. If this option is disabled, only a pin identified with the BUFG=SR property in the design (or UCF file) will be assigned to the GSR device pin. By default, this option is on.
Enable Fast Input Registers -- Enables fast input registers.
Ignore DATA_GATE Attributes -- Data Gate is a power saving property that can be used in CoolRunner-II designs. This option allows you to turn Data Gate off in case you want the fitter to ignore data gate.
Tristate Outputs Termination Node -- The Tristate Output Termination Mode globally sets all tristate outputs to the specified termination mode. By default, this field is set to Pullup.. The options are Pullup, Keeper and Float.
Create Programmable Ground Pins on Unused I/O -- The Create Programmable GND Pins on Unused I/O property controls the option to indicate that you want all unused I/O pads to be configured as ground pins. This can reduce ground bounce. By default, this option is set to ground. The options are Ground, Pullup, Keeper and Float.
Default Output Voltage Standard -- set a default voltage standard for CoolRunner-II device pins.
IOSTANDARD names supported by CoolRunner-II are:
|
I/O Standard |
VCCIO |
Input VREF |
Board Termination Voltage (VTT) |
|
LVTTL |
3.3V |
N/A |
N/A |
|
LVCMOS33 |
3.3V |
N/A |
N/A |
|
LVCMOS25 |
2.5V |
N/A |
N/A |
|
LVCMOS18 |
1.8V |
N/A |
N/A |
|
LVCMOS15 |
1.5V |
N/A |
N/A |
|
HSTL_I |
1.5V |
0.75V |
0.75V |
|
SSTL2_I |
2.5V |
1.25V |
1.25V |
|
SSTL3_I |
3.3V |
1.5V |
1.5V |
The software automatically groups outputs with similar IOSTANDARD settings into the same bank when no location constraints are specified.
The following options are found under the Advanced tab for XC9500/XL/XV. Note that additional options for XC9500 only are also described below.
Use Global Output Enable(s) -- Select this option to allow the fitter to assign input pins used as output enable control to dedicated global OE (GTS) pins of the device. If this option is disabled, only pins identified with the BUFG=OE property in the design (or UCF file) will be assigned to GTS device pins. By default, this option is on.
Use Global Set/Reset -- Select this option to allow the fitter to assign input pins used as register asynchronous reset or preset control to the dedicated global set/reset (GSR) pin of the device. If this option is disabled, only a pin identified with the BUFG=SR property in the design (or UCF file) will be assigned to the GSR device pin. By default, this option is on.
Create Programmable Ground Pins on Unused I/O -- Select this option to indicate that you want all unused I/O pads to be configured as ground pins. This can reduce ground bounce. By default, this option is off.
Macrocell Power Setting -- Use this option to control device power consumption. Select Low or Standard to set the default power mode for the macrocells used to implement the design. Select Timing Driven to automatically reduce power on paths covered by timing specifications that can meet speed requirements while operating in low power. The default is Standard, which results in highest speed.
Note: Any explicit power control (PWR_MODE) properties in the design or constraints file take precedence over this Macrocell Power Setting.
Enable FASTConnect/UIM Optimization (XC9500 only) -- Enables optimization of the FASTConnect/UIM for XC9500 devices.
Select this option to enable the software to use local macrocell feedback whenever possible. The local feedback path, running from each macrocell output to an input of the same function block, has shorter propagation delay than the global feedback path. The fitter always tries to use local macrocell feedback (if possible) to satisfy timing constraints. This option allows the fitter to use local feedback to generally improve timing on remaining paths. Using local feedback can speed up your design but could also make it difficult to maintain the same timing after a design change. By default, this option is on.
Note: To force the fitter to use local feedback, manually map both the source and load functions into the same function block using the property LOC=FBnn, then apply a timespec across the path.
Note: The XC9536 device does not have local feedback.
Select this option to enable the software to use I/O pin feedback whenever possible. The pin feedback path has slightly shorter propagation delay than the global feedback path. If this option is enabled, the software uses the pin feedback path instead of the global feedback path for macrocell signals that do not drive 3-state outputs or slew-rate-limited outputs, and where the associated I/O pin is not used as input-only. By default, this option is on.


HOME |
MENU |
CONTACT |
SLICE PIZZA
MENU
Item
Quantity
Price
SIZES
LARGE.
Kshs.1000
MEDIUM.
Kshs.800
SMALL
Kshs.500
Toppings
Bacon.
Kshs.100
Mushrooms
Kshs.200
.
chicken
Ksh.300
.
chicken
Ksh.50
.
CRUST
crispy.
Kshs.50
stuffy.
Kshs.100
Gluten-free
Kshs.200
.
DELIVERY
Yes, deliver to my designated adress.
Kshs.500
Pick up