|
Clawpack Documentation Version 5.0 --- Under Construction! Not yet accurate |
Operating systems. Clawpack should work fine on Unix/Linux or Mac OS X systems. Much of it will work under Windows using Cygwin, but this is not officially supported.
On OS X you need to have the Xcode developer tools installed in order to have “make” working.
Fortran. The main Clawpack routines are written in Fortran (a mixture of Fortran 77 and Fortran 90/95) and so compiling and running the code requires a Fortran compiler, such as gfortran, which is part of the GNU gcc compiler suite. For Mac OSX, see hpc.sourceforge.net for some installation options.
Makefiles are used in libraries and directories and you will need some version of make.
Python. We use Python for visualization of results (see Plotting options) and also for user input (see Specifying run-time parameters in setrun.py). Older Matlab plotting scripts are still available but are no longer being developed and the examples now included in Clawpack include setplot.py files to facilitate use of the Python plotting tools (see Using setplot.py to specify the desired plots).
You will need Python Version 2.5 or above (but not 3.0 or above, which is not backwards compatible). You will also need NumPy and matplotlib for plotting.
See Python Hints for information on installing the required modules and to get started using Python if you are not familiar with it.
Virtual Machine. An alternative to installing the prerequisites and Clawpack itself is to use the Clawpack Virtual Machine.
Cloud Computing. Another alternative is to run Clawpack on the Cloud, see Amazon Web Services EC2 Clawpack AMI.
Eventually tar files will be provided containing all the code from various repositories together for the convenience of users.
Eventually pip install clawpack might work in general for all of Clawpack. Currently this only installs PyClaw, see Installing PyClaw
Currently Clawpack 5.0 can be obtained by cloning a number of repositories from https://github.com/clawpack.
See the Temporary installation instructions for developers below and follow these, except that you can just clone directly from https://github.com/clawpack rather than first forking them if you do not plan to make changes and issue pull requests.
This should be simplified eventually and moved elsewhere
Read the sections Using Git and GitHub and Gitwash version of developer guide.
To get started you will need to fork and then clone at least the following set of repositories:
You might also want:
You should set your environment variable $CLAW to point to the top level directory that contains all of these clones.
Then you should be able to do:
$ cd $CLAW
$ rm -ri python/clawpack # only needed if you already had this directory
$ bash clawutil/src/make_clawtop.sh
This will create a directory $CLAW/python/clawpack that contains symbolic links to all the python directories from which you might want to import things.
Set your PYTHONPATH environment variable to include $CLAW/python, e.g.
$ export PYTHONPATH=$CLAW/python:$PYTHONPATH
and then you should be able to do things like...
>>> from clawpack.visclaw.Iplotclaw import Iplotclaw
In addition to setting the environment variables $CLAW and $PYTHONPATH as described above, you should also set:
CLAWUTIL=$CLAW/clawutil
AMRCLAW=$CLAW/amrclaw
GEOCLAW=$CLAW/geoclaw
VISCLAW=$CLAW/visclaw
RIEMANN=$CLAW/riemann
FC=gfortran # or other preferred Fortran compiler
Consider putting the appropriate commands in your .cshrc or .bashrc file (which is executed automatically in each new shell you create).
As a first test, go to the directory $CLAW/amrclaw/tests/example1. You can try the following test in this directory, or you may want to first make a copy of it (see the instructions in Copying an existing example).
The Makefiles are set up to do dependency checking so that in many application directories you can simply type:
$ make .plots
and the Fortran code will be compiled, data files created, the code run, and the results plotted automatically, resulting in a set of webpages showing the results.
However, if this is your first attempt to run a code, it is useful to go through these steps one at a time, both to understand the steps and so that any problems with your installation can be properly identified.
You might want to start by examining the Makefile. This sets a number of variables, which at some point you might need to modify for other examples, see Clawpack Makefiles for more about this. At the bottom of the Makefile is an include statement that points to a common Makefile that is used by most applications, and where all the details of the make process can be found.
To compile the code, type:
$ make .exe
If this gives an error, see Trouble running “make .exe”.
This should compile the example code (after first compiling the required library routines) and produce an executable named xclaw in this directory.
Before running the code, it is necessary to also create a set of data files that are read in by the Fortran code. This can be done via:
$ make .data
If this gives an error, see Trouble running “make .data”.
This uses the Python code in setrun.py to create data files that have the form *.data.
Once the executable and the data files all exist, we can run the code. The recommended way to do this is to type:
$ make .output
If this gives an error, see Trouble running “make .output”.
One could run the code by typing ”./xamr”, but using the make option has several advantages. For one thing, this checks dependencies to make sure the executable and data files are up to date, so you could have typed “make .output” without the first two steps above.
Also, before running the code a subdirectory _output is created and the output of the code (often a large number of files) is directed to this subdirectory. This is convenient if you want to do several runs with different parameter values and keep the results organized. After the code has run you can rename the subdirectory, or you can modify the variable OUTDIR in the Makefile to direct results to a different directory. See Clawpack Makefiles for more details. Copies of all the data files are also placed in the output directory for future reference.
If the code runs successfully, you should see output like the following:
.. warning:: Out of date! Needs updating.
Plotting the results. Once the code has run and the files listed above have been created, there are several options for plotting the results.
To try the Python tools, type:
$ make .plots
If this gives an error, see Trouble running “make .plots”.
If this works, it will create a subdirectory named _plots that contains a number of image files (the *.png files) and a set of html files that can be used to view the results from a web browser. See plotting_makeplots for more details.
An alternative is to view the plots from an interactive Python session, as described in the section Interactive plotting with Iplotclaw.
If you wish to use Matlab instead, see Plotting using Matlab.
Other visualization packages could also be used to display the results, but you will need to figure out how to read in the data. See fortfiles for information about the format of the files produced by Clawpack.
Creating html versions of source files.*
To best view the results, and the source code and README files, type:
$ make .htmls
and view the resulting README.html file with a web browser.
Warning
Out of date! Needs updating.
This part is not required, but to best view README.html and other Clawpack generated html files, it is convenient to start a local webserver via:
$ cd $CLAW
$ python python/startserver.py
Note that this will take over the window, so do this in a new window, or else do:
$ xterm -e python python/startserver.py &
to execute it in a new xterm (if available). The setenv commands described above will define an alias so that this last command can be simplified to:
$ clawserver
The main $CLAW directory will then be available at http://localhost:50005 and jsMath should work properly to display latex on the webpages (once you’ve downloaded the required fonts, see http://www.math.union.edu/locate/jsMath/users/fonts.html).


EPL: Iheanacho Reacts After Second Goal In Two Games (Photos)
by Emmanuel EgobiambuSuper Eagles star Kelechi Iheanacho has hailed his teammates following Leicester City’s 1-4 win over Aston Villa in a Premier League tie, Sunday.
Concise News understands that the out-of-favour Super Eagles forward scored as the Foxes bagged their eighth win in a row.
English striker Jamie Vardy scored a brace with Jonny Evans netting once as the former Premier League winners took all three points at the Villa Park.
Iheanacho who scored the winner for Brendan Rogers’ side last week against relegation-threatened Everton, took to his Twitter handle to commend the team for the victory.
“Fantastic performance from the team,” the 2013 U-17 World Cup winner tweeted. “Happy to get another goal and assist. 8 wins in a row that’s it.”
Also, his teammate and compatriot Wilfred Ndidi described the win over Villa as “well deserved,” thanking the fans for their support.
“Well deserved 3 points away from home, ” he wrote. “What a team !!!💪🏾Thank you to the travelling fans 💙.”


| I l@ve RuBoard |
Okay: time to start doing a little coding on your own. This session is fairly simple, but a few of these questions hint at topics to come in later chapters. Remember, check Appendix C, for the answers; they sometimes contain supplemental information not discussed in the chapters. In other words, you should peek, even if you can manage to get all the answers on your own.
Interaction. Start the Python command line, and type the expression: "Hello World!" (including the quotes). The string should be echoed back to you. The purpose of this exercise is to get your environment configured to run Python. You may need to add the path to the python executable to your PATH environment variable. Set it in your .cshrc or .kshrc file to make Python permanently available on Unix systems; use a setup.bat or autoexec.bat file on Windows.
Programs. With the text editor of your choice, write a simple module file—a file containing the single statement: print 'Hello module world!'. Store this statement in a file named module1.py. Now, run this file by passing it to the Python interpreter program on the system shell's command line.
Modules. Next, start the Python command line and import the module you wrote in the prior exercise. Does your PYTHONPATH setting include the directory where the file is stored? Try moving the file to a different directory and importing it again; what happens? (Hint: is there still a file named module1.pyc in the original directory?)
Scripts. If your platform supports it, add the #! line to the top of your module1.py module, give the file executable privileges, and run it directly as an executable. What does the first line need to contain?
Errors. Experiment with typing mathematical expressions and assignments at the Python command line. First type the expression: 1 / 0; what happens? Next, type a variable name you haven't assigned a value to yet; what happens this time? You may not know it yet, but you're doing exception processing, a topic we'll explore in depth in Chapter 7. We'll also see Python's source debugger, pdb, in Chapter 8; if you can't wait that long, either flip to that chapter, or see other Python documentation sources. Python's default error messages will probably be as much error handling as you need when first starting out.
Breaks. At the Python command line, type:
L = [1, 2] L.append(L) L
What happens? If you're using a Python version older than 1.5.1, a Ctrl-C key combination will probably help on most platforms. Why do you think this occurs? What does Python report when you type the Ctrl-C key combination? Warning: if you have a Python older than release 1.5.1, make sure your machine can stop a program with a break-key combination of some sort before running this test, or you may be waiting a long time.
| I l@ve RuBoard |


Google Spreadsheet Javascript
Here is the most basic usage:
And here are the results:
Github URL:
https://github.com/mikeymckay/google-spreadsheet-javascript
Source URL for above spreadsheet data:
Try your own spreadsheet (needs to be
published
):


Languages¶
CodeDevils is a world-wide organization, so we offer translations of the website where ever possible to make communication easier.
Supported Languages¶
Arabic (ar)
English - US (en-us) default
French (fr)
Hindi (hi)
Spanish (es)
Translating the Project¶
Languages are defined as locales in the project base settings module. The default is set to en-us:
LANGUAGE_CODE = env("DJANGO_LANGUAGE_CODE", default="en-us")
You can change it by setting the DJANGO_LANGUAGE_CODE in your environment file. Languages available are located just below that in LANGUAGES:
LANGUAGES = [
("es", _("Spanish")),
("en-us", _("English")),
("fr", _("French")),
("ar", _("Arabic")),
("nl", _("Dutch")),
("hi", _("Hindi"))
]
Locale translations¶
Property Object (PO) hold translations for each of the languages.
locale
├── ar
│ └── LC_MESSAGES
│ ├── django.mo
│ └── django.po
├── es
├── fr
├── hi
├── nl
└── README.rst
Update Translations¶
Each update to one of the templates requires you to update the corresponding translation. You can do so locally by visiting the rosetta/ endpoint. Here will give you the original string with a text field to add the translation:
Once you’ve completed all translations, you can compile them by running:
./manage.py compilemessages
Or for a specific language:
./manage.py compilemessages -l ar
You will need to perform this same compilation on the server once you update the project.
Start a New Language¶
To create a new language locale, simply use the makemessages command and specify the language code (for this example, we’ll make the German [de] language):
./manage.py makemessages -l de
You will see a new folder appear in the locale/ directory with the language. Update the config.settings.base settings module with the new language:
LANGUAGES = [
("es", _("Spanish")),
("en-us", _("English")),
("fr", _("French")),
("ar", _("Arabic")),
("nl", _("Dutch")),
("hi", _("Hindi")),
("de", _("German") # new language
]
Once you have translated everything and completed the PO file, you can compile the language for use:
./manage.py compilemessages -l de
The language will also need to be added to the public/js/site.js file TYPED_LANGUAGES object with the translation. The translations (in order) are Network. Develop. Create:
const TYPED_LAGUAGES = {
'en-us': ['Network.', 'Develop.', 'Create'],
'ar': ['شبكة الاتصال.', 'طور.', 'خلق.'],
'cmn': ['網絡。', '發展。', '創造。'],
'es': ['Red.', 'Desarrollar.', 'Crear.'],
'fr': ['Réseau.', 'Développer.', 'Créer.'],
'nl': ['Netwerk.', 'Ontwikkelen.', 'Creëer.'],
'hi': ['नेटवर्क।', 'का विकास करना।', 'सृजन करना।'],
// add languages
'de': ['Netzwerk.', 'Sich entwickeln.', 'Erstellen.']
};
Note that the language code needs to be the same as the locale. The typed sequence on the home page should now reflect the tranlsation.


What is the running time of Bubble Sort when the input is an array where all record values are equal?
\Theta(n^2)
\Theta(n)
\Theta(\log n)
\Theta(n \log n)
Each comparison test in the inner for loop will fail
because the value at position i
is never less
than the value at position i-1
.
However, this observation does not affect the number of comparisons to be made, it only affects the number of swaps


menu
Http
play_arrow
Request
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Headers
Params
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settings
SharedPreferences
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Database
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Http


---
layout: default
title: "STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor"
---
{{ page.title }}
IEEE Robotics and Automation Letters, published online, 2022
Yeeun Kim (1) Byeongho Yu (1) Eungchang Mason Lee (1) Joon-Ha Kim (1) Hae-won Park (1) Hyun Myung (1)
(1) Korea Advanced Institute of Science and Technology
Abstract
We propose a novel state estimator for legged robots, STEP, achieved
through a novel preintegrated foot velocity factor. In the preintegrated
foot velocity factor, the usual non-slip assumption is not adopted.
Instead, the end effector velocity becomes observable by exploiting the
body speed obtained from a stereo camera. In other words, the preintegrated
end effector’s pose can be estimated. Another advantage of our approach
is that it eliminates the necessity for a contact detection step, unlike
the typical approaches. The proposed method has also been validated in
harsh-environment simulations and real-world experiments containing uneven or slippery terrains.
@ARTICLE{STEPKim2022,
author={Kim, Yeeun and Yu, Byeongho and Lee, Eungchang Mason and Kim, Joon-ha and Park, Hae-won and Myung, Hyun},
journal={IEEE Robotics and Automation Letters},
title={STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor},
year={2022},
volume={7},
number={2},
pages={4456-4463},
doi={10.1109/LRA.2022.3150844}
}


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I am a Responsive Designer & Developer who creates thoughtful and user-oriented designs. When I'm not working, you can find me exploring the streets and vineyards of Mendoza, Argentina, where wine, steak and ice cream are sacred.
I am a Responsive Designer & Developer who creates thoughtful and user-oriented designs. When I'm not working, you can find me exploring the streets and vineyards of Mendoza, Argentina, where wine, steak and ice cream are sacred.
From a young age, I knew that I wanted to see the world. For some reason, flamenco dancing was the thing that first sparked my interest in other cultures. I saved up to travel to Spain when I was sixteen, and from then on, I was hooked on exploring new places.
I spent a semester in Argentina in college, and then joined the Peace Corps with my husband after we graduated. Upon moving back to the U.S., we based ourselves in New York City, but ended up working on humanitarian assignments overseas for months at a time.
Overall, we spent over five years in Africa, and many months in South America, amongst other places. We love exploring new locations and cultures, but we are always looking for the perfect place to call home. Learning coding lets me continue on our quest while pursuing a new career.


Welcome to my page !
I'm Saaya!
Saaya Akashi
Facebook
Basic Info
Nickname
: Sa-ya
Birthday
: 1994.4.28
Hometown
: Born in Saitama
/ Live in Tokyo
University
: Waseda uni.
/ School of Law
My Favorites
Going to aquariums
Reading books
Watching movies
Going to cafe
Karaoke
World Heritages


Welcome to my website! Here are some things I enjoy.
Here is a favourite qoute of mine....
...another


CrowdinSDK
@objcMembers
public class CrowdinSDK : NSObject
Main interface for working with CrowdinSDK library.
-
Enum representing available SDK modes.
autoSDK - Automaticly detect current localization and change localized strings to crowdin strings.
customSDK - Enable user defined localization from crowdin supported languages.
autoBundle - Does not enable crowdin localization. In this mode will be used bundle localization detected by system.
customBundle - Set user defined localization from bundle supported languages.
See moreDeclaration
Swift
public enum Mode : Int
-
Current SDK mode.
Declaration
Swift
public class var mode: Mode { get set }
-
Current localization language code.
Declaration
Swift
public class var currentLocalization: String? { get set }
-
List of avalaible localizations in SDK.
Declaration
Swift
public class var inSDKLocalizations: [String] { get }
-
List of supported in app localizations.
Declaration
Swift
public class var inBundleLocalizations: [String] { get }
-
Declaration
Swift
public class func stop()
-
Removes all stored information by SDK from application Documents folder. Use to clean up all files used by SDK.
Declaration
Swift
public class func deintegrate()
-
Method for changing SDK lcoalization and mode. There are 4 avalaible modes in SDK. For more information please look on Mode enum description.
Declaration
Swift
public class func enableSDKLocalization(_ sdkLocalization: Bool, localization: String?)
Parameters
sdkLocalization
Bool value which indicate whether to use SDK localization or native in bundle localization.
localization
Localization code to use.
-
Utils method for extracting all localization strings and plurals to Documents folder. This method will extract all localization for all languages and store it in Extracted subfolder in Crowdin folder.
Declaration
Swift
public class func extractAllLocalization()
-
Add download handler closure. This closure will be called every time when new localization is downloaded.
Declaration
Swift
public class func addDownloadHandler(_ handler: @escaping CrowdinSDKLocalizationUpdateDownload) -> Int
Parameters
handler
Download handler closure.
Return Value
Download handler id value. This value is used to remove this handler.
-
Remove download handler by id.
Declaration
Swift
public class func removeDownloadHandler(_ id: Int)
Parameters
id
Download handler id value.
-
Remove all download handlers.
Declaration
Swift
public class func removeAllDownloadHandlers()
-
Add error handler
Declaration
Swift
public class func addErrorUpdateHandler(_ handler: @escaping CrowdinSDKLocalizationUpdateError) -> Int
Parameters
handler
Error handler closure.
Return Value
Error handler id value. This value is used to remove this handler.
-
Remove error handler by id.
Declaration
Swift
public class func removeErrorHandler(_ id: Int)
Parameters
id
Error’s handler id value.
-
Remove all error handlers.
Declaration
Swift
public class func removeAllErrorHandlers()
-
Initialization method. Uses default CrowdinProvider with initialization values from Info.plist file.
Declaration
Swift
public class func start()
-
Initialization method. Initialize CrowdinProvider with passed parameters.
Declaration
Swift
public class func startWithConfig(_ config: CrowdinSDKConfig)
Parameters
hashString
Distribution hash value.
-
Undocumented
Declaration
Swift
public class func handle(url: URL) -> Bool
-
Undocumented
Declaration
Swift
public class func captureScreenshot(name: String, success: @escaping (() -> Void), errorHandler: @escaping ((Error?) -> Void))
-
Undocumented
Declaration
Swift
public class func startRealtimeUpdates(success: (() -> Void)?, error: ((Error) -> Void)?)
-
Undocumented
Declaration
Swift
public class func stopRealtimeUpdates()
-
Reload localization for all UI controls(UILabel, UIButton). Works only if realtime update feature is enabled.
Declaration
Swift
public class func reloadUI()
-
Undocumented
Declaration
Swift
public class func forceRefreshLocalization()
-
Undocumented
Declaration
Swift
public class func startIntervalUpdates(interval: TimeInterval)
-
Undocumented
Declaration
Swift
public class func stopIntervalUpdates()
-
Undocumented
Declaration
Swift
public class func showSettings()


| Application Path | Rails Version | Brakeman Version | Report Time | Checks Performed |
|---|---|---|---|---|
| /Users/cktricky/tmp/railsgoat | 3.2.11 | 2.6.1 |
2014-07-29 12:41:05 -0500 2.412842 seconds |
BasicAuth, ContentTag, CrossSiteScripting, DefaultRoutes, Deserialize, DetailedExceptions, DigestDoS, EscapeFunction, Evaluation, Execute, FileAccess, FilterSkipping, ForgerySetting, HeaderDoS, I18nXSS, JRubyXML, JSONParsing, LinkTo, LinkToHref, MailTo, MassAssignment, ModelAttrAccessible, ModelAttributes, ModelSerialize, NestedAttributes, NumberToCurrency, QuoteTableName, Redirect, RegexDoS, Render, RenderDoS, ResponseSplitting, SQL, SQLCVEs, SSLVerify, SafeBufferManipulation, SanitizeMethods, SelectTag, SelectVulnerability, Send, SendFile, SessionSettings, SimpleFormat, SingleQuotes, SkipBeforeFilter, StripTags, SymbolDoS, TranslateBug, UnsafeReflection, ValidationRegex, WithoutProtection, YAMLParsing |
| Scanned/Reported | Total |
|---|---|
| Controllers | 17 |
| Models | 11 |
| Templates | 73 |
| Errors | 0 |
| Security Warnings | 27 (16) |
| Ignored Warnings | 0 |
| Warning Type | Total |
|---|---|
| Attribute Restriction | 1 |
| Command Injection | 1 |
| Cross Site Scripting | 5 |
| Cross-Site Request Forgery | 1 |
| Denial of Service | 2 |
| File Access | 1 |
| Format Validation | 1 |
| Mass Assignment | 5 |
| Remote Code Execution | 5 |
| SQL Injection | 3 |
| Session Setting | 2 |
| Confidence | Class | Method | Warning Type | Message |
|---|---|---|---|---|
| High | BenefitFormsController | download | File Access | |
| High | Api::V1::MobileController | show | Remote Code Execution | |
| High | Api::V1::MobileController | index | Remote Code Execution | |
| High | BenefitFormsController | download | Remote Code Execution | |
| High | Session Setting | |||
| High | Session Setting | |||
| High | UsersController | update | SQL Injection | |
| High | SQL Injection | Rails 3.2.11 contains a SQL injection vulnerability (CVE-2013-6417). Upgrade to 3.2.16 | ||
| Medium | Benefits | Benefits.make_backup | Command Injection | |
| Medium | Denial of Service | Rails 3.2.11 has a denial of service vulnerability in ActiveRecord: upgrade to 3.2.13 or patch | ||
| Medium | Remote Code Execution | |||
| Medium | Analytics | hits_by_ip | SQL Injection | |
| Medium | PasswordResetsController | reset_password | Remote Code Execution | |
| Medium | Cross Site Scripting | Rails 3.2.11 has a vulnerability in number helpers (CVE-2014-0081). Upgrade to Rails version 3.2.17 | ||
| Medium | Denial of Service | Rails 3.2.11 has a denial of service vulnerability (CVE-2013-6414). Upgrade to Rails version 3.2.16 |
Controller Warnings
| Confidence | Controller | Warning Type | Message |
|---|---|---|---|
| High | ApplicationController | Cross-Site Request Forgery | 'protect_from_forgery' should be called in ApplicationController |
Model Warnings
| Confidence | Model | Warning Type | Message |
|---|---|---|---|
| High | Benefits | Attribute Restriction | Mass assignment is not restricted using attr_accessible |
| High | User | Format Validation | |
| High | User | Mass Assignment | Potentially dangerous attribute available for mass assignment: :admin |
| Weak | KeyManagement | Mass Assignment | Potentially dangerous attribute available for mass assignment: :user_id |
| Weak | Message | Mass Assignment | Potentially dangerous attribute available for mass assignment: :creator_id |
| Weak | Message | Mass Assignment | Potentially dangerous attribute available for mass assignment: :receiver_id |
| Weak | User | Mass Assignment | Potentially dangerous attribute available for mass assignment: :user_id |
View Warnings
| Confidence | Template | Warning Type | Message |
|---|---|---|---|
| High | layouts/application (AdminController#dashboard) | Cross Site Scripting | |
| High | pay/index (PayController#index) | Cross Site Scripting | |
| High | pay/index (PayController#index) | Cross Site Scripting | |
| High | pay/index (PayController#index) | Cross Site Scripting |


Donattelo is usually shotened to donne. Donnie is one of the main protagonists of the Teenage Mutant Ninja Turtles 2012 television series. He is the adopted son of Splinter. And the real brother of Leonardo. The real brother of Raphael. And his also a gifted hacker. He wears a purple mask. He fights with a bō (rokushakubo) which also converts to a naginata (a Japanese halberd). Basically a switchblade inside one end of the wooden staff. Donnie has a huge crush on April O'Neil who is also in teenage years in this adaptation. And later develops a rivalry with Casey Jones because of it.
And the real brother of Michelangelo. He is also the younger adoptive brother of Karai. He is the team's scientist. He is the team's mechanist. He is the team's inventor. Donnie is a mutated anthropomorphic teen ninjutsu turtle warrior with brownish green skin. Donnie has a gap between his teeth. His the tallest between his brothers. He has the purple mask. He knows progaming. He's obsessively detail-oriented and often impatient that his brothers can't keep up with him intellectually. But Donnie also happens to be the most reclusive and socially awkward of the Turtles - especially when April is on her way!info from wiki Fandom
Donne is the smart one of the team. Donne is younger than karai. Donne is younger than leo. Donne is younger than raph. Donne is older than mikey. He knows coding. The tails of his mask are also longer than his brothers. He is a pro scientist. He is a pro Mathametician. He is the brains of every operation the team go on.
He is in charge of the design. He is in charge of the manufacture. He is in charge of all the tools. He is in charge of all the armor He is in charge of the vehicles and weapons in Turtles arsenal. Donatello is the teams weponeer. He creates all their gadgets From the simplest bo-staff To their incredible vehicles. He created all their gadgects so he is in charge of Them.


it benefits people becacuse it allows them to realise that their brain is not fixed, that it can change and learn new skills no matter what the individual thinks.
for me it was quite good to read and understand that are brains can mould and we can create strong pathways for learning code, practice, practice, practice is the key thing i found to strengthen the signals and ideally create faster repsonse times while solving problems, but also just the knowing i can strengthen skills via neuroplasticity techniques is a reward in it self
A growth mindset is when people think that their abilities basic or new can be developed through dedication and hardwork, this idea creates strong will and determination to push towards goals and makes the individual feel full control in their life, its relavance is simple, its relavant because it creates happier stronger people more willing to try harder obstacles in life to achieve
during this exploratiion nothing really surprised me, I believe that i do have a good Growth mindset, i would almost take a growth mindset to be a positive attitude in life. what would surprise me is if only a minority of people take on the growth mindset atitude, im sure its inherent for some and learned by others but the world would be a lovely place if everyone had a growth mindset.
I will intergrate some of the techniques to develop growth mindset, like trying to learn different learning tatics, viewing challenges as oppertunites, valuing the process instead of end result. and find plenty of time for reflection.


Miguel Hidalgo y Costilla
This page is a tribute to Miguel Hidalgo. Miguel Hidalgo was as a Mexican Roman Catholic priest and a leader of the Mexican War of Independence. He was a professor at the Colegio de San Nicolás Obispo in Valladolid and was ousted in 1792. He served in a church in Colima and then in Dolores, Dias. After his arrival, he was shocked by the rich soil he had found. He tried to help the poor by showing them how to grow olives and grapes, but in New Spain (modern Mexico) growing these crops was discouraged or prohibited by the authorities due to Spanish imports of the items. In 1810 he gave the famous speech, "The Cry of Dolores", calling upon the people to protect the interest of their King Fernando VII (held captive by Napoleon) by revolting against the European-born Spaniards who had overthrown the Spanish Viceroy. He marched across Mexico and gathered an army of nearly 90,000 poor farmers and Mexican civilians who attacked and killed both Spanish Peninsulares and Criollo elites, even though Hidalgo's troops lacked training and were poorly armed. These troops ran into an army of 6,000 well-trained and armed Spanish troops; most of Hidalgo's troops fled or were killed at the Battle of Calderón Bridge.[6] After the battle, Hidalgo and his remaining troops fled north, but Hidalgo was betrayed, captured and executed.
More information about Miguel Hidalgo y Costilla


Operations for handling JSON data.
The json library provides functions for handling JSON data.
Get difference between two JSON values.
The diff function returns a patch that represents the transformation
of prev to next. This patch can be applied with
json.patch
.
Converts a string to a JSON value.
The fromString function attempts to convert string to a JSON
value. It is equivalent to rbxmk.decodeFormat("json", string)
Tranforms a JSON value according to a patch.
The patch function returns a copy of value that has been transformed according to patch.


infant mortality
`Prev `__
I
`Next `__
--------------
**infant mortality**: n.
It is common lore among hackers (and in the electronics industry at
large; this term is possibly techspeak by now) that the chances of
sudden hardware failure drop off exponentially with a machine's time
since first use (that is, until the relatively distant time at which
enough mechanical wear in I/O devices and thermal-cycling stress in
components has accumulated for the machine to start going senile). Up to
half of all chip and wire failures happen within a new system's first
few weeks; such failures are often referred to as infant mortality
problems (or, occasionally, as sudden infant death syndrome). See
`*bathtub curve* <../B/bathtub-curve.html>`__, `*burn-in
period* <../B/burn-in-period.html>`__.
--------------
+-------------------------------+----------------------------+-----------------------------+
| `Prev `__ | `Up <../I.html>`__ | `Next `__ |
+-------------------------------+----------------------------+-----------------------------+
| index of X | `Home <../index.html>`__ | infinite |
+-------------------------------+----------------------------+-----------------------------+


These are your publications. You can sign your name or remain anonymous.
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| Bytes | Approx. Gas | @ Gwei | USD |
|---|---|---|---|
| 500 | 340367 | ||
| 1000 | 514367 | ||
| 8000 | 2950367 |
Grafiti lets you archive anything in the blockchain. Posts are uncensorable and preserved forever in Ethereum.
Ethereum is the world's auditable decentralized computer. Ethereum's token, ether, is currently the second-most valuable cryptocurrency in terms of market capitalization, behind Bitcoin. Ethereum differs from Bitcoin in several ways, the most important being that its smart contracts are Turing Complete. Code deployed to Ethereum is immutable, so the terms of contracts never change. All code and code execution is auditable public record on the blockchain. Identity and privacy are protected via public key cryptography. Read more about Ethereum in its White Paper.
Pub is a contract deployed on Ethereum. Pub facilitates arbitrary publication, archiving the data within the contract itself. Everything published through Pub will be replicated by Ethereum indefinitely. Pub is immutable. Pub is uncensorable. Pub is forever. Read the contract on Etherscan.io.
Grafiti is a serverless front-end for Pub. Data requests are handled by the decentralized Ethereum Network. Along with the Ethereum and Pub, Grafiti is open source, so anyone can host a mirror or contribute to development.
The cost of publication depends on the bytes in the title and content as well as the specified gas price. Gas is explained later on this page.
{{> gas}}
You can obtain ether on an exchange, but you should transfer it to an account that you control.
As stated in the Ethereum Legal Agreement, you are responsible for your own actions. The Ethereum Network is censorship-resistant. All material published on Pub will be immutable public record. If you break the laws of your country using this software, be prepared to be prosecuted to the fullest extent of the law.
Gas is consumed with every transaction on the Ethereum Network. Transactions exceeding their declared gas limit are reverted. Metamask and Mist will suggest using more than the required amount of gas. Any extra gas supplied is fully refunded.
Gas is paid in ether. You can specify any gas price. View the current market rate on the Ethereum Network Status, but more detailed gas and transaction information can be found at the ETH Gas Station. Beware, if you choose a gas price that is too low, your transaction can take much longer to process. If you pay enough for gas, your transaction will usually confirm on the next block. Ethereum generates a block about every 15 seconds.
Ensure that your publication is as small as possible. You pay by the byte. Consider .svg and .webp for image compression.
Heed warnings about using too much gas. Ethereum nodes have a gas limit. You can also view the block gas limit on the Ethereum Network Status page. If your publication is too large, it will not fit into the block.
Swarm facilitates a crowd-sharing file system similar to BitTorrent. Data hosted by Swarm and IPFS can be evicted if not retreived often enough. If you want to publish a blog using IPFS, use Happta. There are many options for ephemeral publication. Pub aims to be a lasting archive.
Grafiti is listed on State of the Dapps.
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There seems to be no account associated with your Web3 support. If you are using Metamask, try unlocking your account.
Your content is too large to publish on the blockchain. Try to keep your publications under 9 KB.
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Late Winner Sends SuperSport Up To Third
by Soccer LadumaAbsa Premiership
Teams: Bidvest Wits 0-1 SuperSport United
Date: 08 November 2019
Venue: Bidvest Stadium
Sipho Mbule struck in the dying stages of the second half to send SuperSport United third in the Absa Premiership following victory over Bidvest Wits on Friday evening.
Gift Motupa retained his spot in the line-up after netting four goals on CAF Confederation Cup duty last weekend as the Clever Boys were involved in their first league outing in five weeks.
After a lively start to the encounter, the home side should have broken the deadlock after 17 minutes when Sifiso Hlanti did well to pick out Mxlosi Macuphu, who was unable to direct his effort on target from close range.
Two minutes later, Gavin Hunt was forced into a re-shuffle as Sameehg Doutie picked up an apparent hamstring and was replaced by veteran winger Elias Pelembe.
Despite SuperSport edging the possession for most of the half, chances were hard to come by in the final third as the visitors were often let down by their final pass, while Wits only managed to test Ronwen Williams in the opening 10 minutes.
However, Hunt's charges came out the stronger of the two sides after the break as Pelembe went close to breaking the deadlock on the hour mark after firing over the top from inside the box.
SuperSport coach Kaitano Tembo responded with his first change on 68 minutes as Teboho Mokoena made way for Jamie Webber in a like-for-like switch.
The hosts almost snatched the winner with five minutes remaining as Pelembe weaved his way into the box before picking out Terrence Dzuvukamanja, whose unorthodox finish was kept out by Williams, while Motupa squandered a good opening minutes later after being slipped through on goal.
However, it was SuperSport who managed to claim the spoils in second-half stoppage time as Mbule rose well to nod into the far corner to seal three points for the visitors.
Here's how they lined up:
Wits: 23. Goss, 3. Hlatshwayo, 4. Nonyane, 8. Monare, 11. Hotto, 13. Hlanti, 17. Alexander, 15. Mkhwanazi, 21. Doutie, 25. Motupa, 28. Macuphu.
Subs: 1. Peterson, 7. Pelembe, 10. Domingo, 14. Nange, 24. Macheke, 27. Ritchie, 37. Dzuvukamanja.
SuperSport: 30. Williams, 14. Bhasera, 18. Nhlapo, 25. Fleurs, 4. Daniels, 8. Furman, 28. Mbule, 13. Gabuza, 28. Mokoena, 7. Grobler, 19. Rusike


nwss-data-standard provides Python and JavaScript schemas for the National Wastewater Surveillance System (NWSS) data standard.
nwss-data-standard
Give it a whirl! Select an XLSX or CSV file to validate it against the schema.


{% extends 'base.html' %}
{% load staticfiles %}
{% load crispy_forms_tags %}
{% block content %}
DeepScrub Bathing Sponge
The convenience of a loofah and a back scrub in one!
Cleans deep down-to-the-pores.
Reusable, long lasting and are recommended by consumers, dermatologists and health professionals.
Read What's The People Are Saying About Us
- Ranjid Katar
- Tom Grant
$8.99!
For more info and support, contact us!
“Very gentle on the skin. After i tried it, i bought some for the rest of the family”
- Linda Xu


pyfos_brocade_gigabitethernet
- PyFOS module to provide rest support for GigE objects.¶
The pyfos_brocade_gigabitethernet
provides a REST support for GigE objects.
-
class
pyfos_brocade_gigabitethernet.
extension_gigabitethernet
(dictvalues={})¶ Important class members:
Attribute name Description Frequently used functions name The slot/port name of GE port peek_name()
name The slot/port name of GE port set_name()
enabled-state The state of the GiGE port peek_enabled_state()
enabled-state The state of the GiGE port set_enabled_state()
speed The speed of GiGE port peek_speed()
speed The speed of GiGE port set_speed()
mac-address The mac-address of GiGE port peek_mac_address()
operational-status GiGE port operational-status peek_operational_status()
persistent-disable GiGE port persistent disabled peek_persistent_disable()
persistent-disable GiGE port persistent disabled set_persistent_disable()
Object functions
-
get
()¶ Fill the object with values for all the attributes. Once filled, the object can be printed using
pyfos_utils.response_print()
Parameters: session – session handler returned by pyfos_auth.login()
Return type: dictionary of error or success response
Attribute functions
-
peek_name
()¶ Reads name from the GiGE port object.
Return type: None on error and value on success
-
peek_enabled_state
()¶ Reads enabled state from GiGE port object.
Return type: None on error and value on success
-
peek_speed
()¶ Reads the speed from the GiGE port Object
Return type: None on error and value on success
-
peek_mac_address
()¶ Reads the mac address from the GiGE port object.
Return type: None on error and value on success
-
peek_operational_status
()¶ Reads operational status from the GiGE port object.
Return type: None on error and value on success
-
peek_persistent_disable
()¶ Reads persistent disable state from the GiGE port object.
Return type: None on error and value on success
-
set_name
(name)¶ Set the name in the GiGE port object.
Return type: dictionary of error or success response and value with “name” as key
-
set_enabled_state
(enabled)¶ Set the enabled state in the GiGE port object.
Return type: dictionary of error or success response and value with “ip-address” as key
-
set_speed
(speed)¶ Set the Speed in the GiGE port object.
Return type: dictionary of error or success response and value with “dp-id” as key
-
set_persistent_disable
(disabled)¶ Set the persistent disabled in the GiGE port object..
Return type: dictionary of error or success response and value with “ip-prefix-length” as key
-
-
class
pyfos_brocade_gigabitethernet.
extension_gigabitethernet_statistics
(dictvalues={})¶ Important class members:
Attribute name Description Frequently used functions name The slot/port name of GE port peek_name()
name The slot/port name of GE port set_name()
reset-statistics Reset the GigE statistic peek_reset_statistics()
reset-statistics Reset the GigE statistic set_reset_statistics()
out-pkts The total out packets peek_out_pkts()
out-octets The total out octets peek_out_octets()
out-unicast-pkts The total out unicast pkts peek_out_unicast_pkts()
out-multicast-pkts The total out multicast pkts peek_out_multicast_pkts()
out-broadcast-pkts The total out broadcast pkts peek_out_broadcast_pkts()
out-vlan-pkts The total out vlan pkts peek_out_vlan_pkts()
out-pause-pkts The total out pause pkts peek_out_pause_pkts()
in-pkts The total in packets peek_in_pkts()
in-octets The total in octets peek_in_octets()
in-unicast-pkts The total in unicast pkts peek_in_unicast_pkts()
in-multicast-pkts The total in multicast pkts peek_in_multicast_pkts()
in-broadcast-pkts The total in broadcast pkts peek_in_broadcast_pkts()
in-vlan-pkts The total in vlan pkts peek_in_vlan_pkts()
in-pause-pkts The total in pause pkts peek_in_pause_pkts()
carrier-loss-error The total carrier loss err peek_carrier_loss_error()
crc-error The total crc err peek_crc_error()
jabber-error The total jabber err peek_jabber_error()
time-generated The time stats were generated peek_time_generated()
Object functions
-
get
()¶ Fill the object with values for all the attributes. Once filled, the object can be printed using
pyfos_utils.response_print()
Parameters: session – session handler returned by pyfos_auth.login()
Return type: dictionary of error or success response
Attribute functions
-
peek_name
()¶ Reads name from the GiGE port stats object.
Return type: None on error and value on success
-
peek_reset_statistics
()¶ Reads reset statistics state from GiGE port stats object.
Return type: None on error and value on success
-
peek_out_pkts
()¶ Reads the outgoing packets from the GiGE port stats object
Return type: None on error and value on success
-
peek_out_octets
()¶ Reads the outgoing octets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_out_unicast_pkts
()¶ Reads outgoing unicast packets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_out_multicast_pkts
()¶ Reads outgoing multicast packets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_out_broadcast_pkts
()¶ Reads outgoing broadcast packets from GiGE port stats object.
Return type: None on error and value on success
-
peek_out_vlan_pkts
()¶ Reads the outgoing vlan packets from the GiGE port stats object
Return type: None on error and value on success
-
peek_out_pause_pkts
()¶ Reads the outgoing pause packets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_in_pkts
()¶ Reads the incoming packets from the GiGE port stats object
Return type: None on error and value on success
-
peek_in_octets
()¶ Reads the incoming octets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_in_unicast_pkts
()¶ Reads incoming unicast packets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_in_multicast_pkts
()¶ Reads incoming multicast packets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_in_broadcast_pkts
()¶ Reads incoming broadcast packets from GiGE port stats object.
Return type: None on error and value on success
-
peek_in_vlan_pkts
()¶ Reads the incomin vlan packets from the GiGE port stats object
Return type: None on error and value on success
-
peek_in_pause_pkts
()¶ Reads the incoming pause packets from the GiGE port stats object.
Return type: None on error and value on success
-
peek_carrier_loss_error
()¶ Reads total carrier loss errors from the GiGE port stats object.
Return type: None on error and value on success
-
peek_crc_error
()¶ Reads total CRC errors from the GiGE port stats object.
Return type: None on error and value on success
-
peek_jabber_error
()¶ Reads total jabber errors from the GiGE port stats object.
Return type: None on error and value on success
-
peek_time_generated
()¶ Reads the generation time of GiGE port stats object.
Return type: None on error and value on success
-
set_name
(name)¶ Set the name in the GiGE port stats object.
Return type: dictionary of error or success response and value with “name” as key
-
set_reset_statistics
(reset)¶ Set the reset statistics in the GiGE port stats object.
Return type: dictionary of error or success response and value with “reset-statistics” as key
-
See also
Module pyfos_rest_utils
Module pyfos_auth


|
|
COMPUTER STUDIES
2001
QUESTION AND ANSWER BOOKLET
Time Allowed: 2 hours
INSTRUCTIONS
1. Before you start, write your candidate code on this page and on the back flap.
2. Attempt ALL questions.
3. The answer sheet for Section A is found on the fold out flap on the last page of this
booklet. Answers for Section B are to be written on the spaces provided in this booklet.
4. The paper is marked out of 100 and marks are apportioned as follows:
|
Section |
Comments |
Marks |
Suggested Time |
|
A |
There are 20 Multiple Choice questions. |
20 |
24 minutes |
|
B |
There are 5 Short Answer questions. All are compulsory. |
80 |
96 minutes |
SECTION A: MULTIPLE CHOICE
(20 Marks)
Answer all questions.
Write the LETTERS of the best answers in the boxes on the back flap.
If you change your mind, put a line through the first answer and write your new choice beside the box.
1. A mouse is mainly used as
A. a static device.
B. an input device.
C. an output device.
D. an independent device.
2. A monitor is mainly used as
A. a tactile device.
B. an input device.
C. a storage device.
D. an output device.
3. Which diagram best shows the way the user relates to the parts of a computer system?
4. Data cannot be stored permanently in RAM because
A. RAM size quickly gets too small.
B. RAM overheats when used for a long time.
C. data is damaged when left in RAM for a long time.
D. data is lost when the electric power goes off.
5. When you try to delete a file from a floppy disk you get an error message. What could cause this error?
A. The disk is full.
B. The file is too big.
C. The disk is write protected.
D. The file is of the wrong type.
6. Which of the following is an application?
A. A printer
B. A spreadsheet
C. An operating system
D. A computer instruction book
7. Summer weather in the tropics can cause damage to floppy disks. This is because the
A. disks are always warm.
B. light intensity is too high for the disk.
C. high humidity lets fungus grow on the disk surface.
D. summer temperature causes bending of the disk surface.
8. The file SmallLetter is in the sub-folder (sub-directory) Letters, which is in the folder (directory) correspondence. The disk is called MyDisk. What is the correct path to the file?
A. MyDisk:\correspondence\Letters\SmallLetter
B. correspondence\Letters\SmallLetter\MyDisk:
C. MyDisk:\Letters\correspondence\SmallLetter
D. MyDisk:\SmallLetter\Letters\correspondence
9. Copyright regulations apply
A. to all software.
B. only to software over 10 kB in size.
C. only to software over 10 MB in size.
D. only to programs made by publishing houses.
10. Corporate confidentiality is a phrase that means
A. having confidence in large corporations.
B. we can confidently tell others about a corporation's sensitive information.
C. sensitive information owned by a corporation should not be told to others.
D. no one owns sensitive information in a corporation because it is confidential.
11. A student is using a word processor. She wishes to change a word to another word with a similar meaning. To do this she could use the
A. thesaurus.
B. spelling checker.
C. grammar checker.
D. document template.
12. Which of these devices is not a magnetic storage medium?
A. Tape
B. Hard disk
C. Floppy disk
D. Compact disk
QUESTIONS 13 TO 16
Use this spreadsheet to answer questions 13 to 16.
|
A |
B |
C |
D |
E |
|
|
1 |
Fishing |
Club Funds |
|||
|
2 |
NAME |
SUBS |
GIFTS |
TOTAL |
PERCENT |
|
3 |
Olga |
$12.00 |
$7.00 |
$19.00 |
28.4 |
|
4 |
Ben |
$12.00 |
$2.00 |
$14.00 |
20.9 |
|
5 |
Josiah |
$12.00 |
$0.00 |
$12.00 |
17.9 |
|
6 |
Ruth |
$12.00 |
$10.00 |
$22.00 |
32.8 |
|
7 |
TOTALS |
$48.00 |
$19.00 |
$67.00 |
100.0 |
13. What was entered in cell A1?
A. Nothing
B. Fishing
C. Fishing Club
D. Fishing Club Funds
14. Which formula is in cell D3?
A. = B3+C3
B. = B3+B4
C. = C3+C4
D. = E3*100
15. Josiah makes a gift of $5.00. If the spreadsheet is properly constructed which cell or cells must be altered to calculate the percent that each person has paid?
A. E5 only
B. C5 only
C. C5 and C6
D. C5, C6, E3, E4, E5, and E6
16. Cell E3 calculates the percent that Olga has paid. The arithmetic of the calculation is 19.00 x 100 / 67.00. What formula should be used in cell E3?
A. = D3*100/D7
B. = D3*100/67.00
C. = D3*100/$D$7
D. = 19.00*100/$D$7
QUESTIONS 17 TO 20
The table view of a database called RugbyClub is shown in the diagram. Use this database to answer questions 17 to 20.
17. Which field or fields are defined as a number?
A. Height only
B. Weight only
C. Height and Weight
D. Height, Weight and Date of Birth
18. The query Position = Lock OR Fees Paid = no is applied to the database. Which names are selected by this query?
A. None
B. Alfred and John only
C. James and Tevita only
D. Alfred, John, James and Tevita only
19. A row of the database is called a
A. field.
B. form.
C. table.
D. record.
20. The database is sorted in descending order by Fees Paid then in ascending order by Date of Birth (a nested sort). Which name is now at the top of Name?
A. Jimmy
B. Tevita
C. James
D. Sunia
SECTION B: SHORT ANSWERS
(80 marks)
QUESTION ONE
Ana buys a second hand computer. The CPU has a 100 MHz processor with 32 MB RAM and a 520 MB HDD.
(a)
(i) What does CPU stand for?
(1 mark)
(ii) Explain what the CPU does.
(1 mark)
(iii) Describe the primary and secondary storage devices in Anaís computer and state what size they are.
PRIMARY
SECONDARY
(1 mark)
(b) The hard disk in Anaís computer has lots of files from the previous owner. Ana formats the hard disk.
(i) Give a reason why she formats the hard disk.
(1 mark)
(ii) What is a disadvantage of formatting the hard disk?
(1 mark)
(c) Ana wishes to install an operating system after formatting the hard disk.
(i) What is the purpose of an operating system?
(1 mark)
(ii) Name one operating system.
(1 mark)
(d) Anaís friend owns two operating systems. They were published by a commercial software company. Her friend bought them with computers, which were later destroyed in a cyclone. She gives one of the operating systems to Ana to use.
(i) Is this software piracy? Explain why or why not.
(1 mark)
(ii) Who owns the copyright of the operating system that Ana now possesses?
(1 mark)
(e) Ana installs the operating system. When she boots her computer the message "keyboard error" appears on her screen, and the computer stops booting.
(i) What should she check first?
(1 mark)
(ii) What is the purpose of a keyboard on a computer?
(1 mark)
(f) Anaís keyboard looks like the one in the picture below. Identify the five major areas in the list above the keyboard. Draw a line from the label and outline the area on the keyboard. (The first one has been done for you.) (2 marks)
Esc Tab Function Shift NumericKey Key Keys Key Keypad
(g) Ana needs some applications for her computer.
(i) What is an application?
(1 mark)
(ii) List four different applications Ana might need.
1.
2.
3.
 He wants the story to be on A5 size paper in portrait orientation.
(i) Describe how to make the page size A5 in a word-processor.
(1 mark)
(ii) Sketch the outline of a page that is in portrait orientation. (1 mark)
(b) Ben tries different fonts for his story. Here are two examples:
This is written in Times New Roman, which is a Serif Font
This is written in Arial, which is a Sans Serif Font.
Describe one difference between a serif font and a sans serif font.
(1 mark)
(c) Here is a picture of Ben's screen as he works on his story:
PARAGRAPH 1
PARAGRAPH 2
(i) Describe the format of the TITLE.
(1 mark)
(ii) Describe the alignment of PARAGRAPH 1.
(1 mark)
(iii) Ben needs to swap PARAGRAPH 1 with PARAGRAPH 2. Describe how he does this without re-typing anything.
(1 mark)
(d) Benís word-processor prints the pages the same way that they appear on the screen. What is the computer term that describes this property?
(1 mark)
(e) While Ben writes his book he saves the file to disk. He calls the file MyBook. He puts it in the folder (directory) called Book on his computer. The folder (directory) structure on Benís computer looks like this:
BenísComputer:
projects work home other
book usp plans letters george mele josiah
(i) Write the full path to the file MyBook.
(1 mark)
(ii) Explain why Ben uses folders (directories) on his computer.
(1 mark)
(f) Ben should back up his file MyBook.
(i) Explain why he should make a back up copy.
(1 mark)
(ii) Give one advantage of backing up to a floppy disk rather than to a hard disk.
(1 mark)
(iii) Ben will call the back up file MyBookBackUp. Describe one way he could create the file MyBookBackUp on a floppy disk.
(1 mark)
(iv) Files on floppy disks can be damaged. Describe one way that the file MyBookBackUp could be damaged while the floppy disk is stored away from the computer.
(1 mark)
(v) Describe the best conditions in which to store floppy disks so as to prevent damage to the information on the disk.
(1 mark)
(g) Ben prints his file MyBook.
(i) During printing the computer gives an error message, and stops printing. Describe one thing that could have caused the error.
(1 mark)
(ii) The software that contrals the printer is a computer program. Name two programming languages.
1.
2.
(1 mark)
QUESTION THREE
(a) Mere uses her computer in a village where the electrical power supply is not reliable. The supply suffers from spikes and blackouts.
(i) Explain the terms spike and blackout. Give a possible cause for each one.
SPIKE
CAUSE
(1 mark)
BLACKOUT
CAUSE
(1 mark)
(ii) In the following sentence insert a word or phrase in each blank space to complete the sentence correctly.
As a general rule spikes damage ______________________________ but blackouts damage _______________________________
. (2 marks)(iii) What can Mere do to stop damage caused by spikes and blackouts?
(1 mark)
(b) A friend gives Mere a piece of paper. On the page is written a joke about viruses. Here is the page.
(i) Describe two ways that this joke is like a real computer virus.
1.
(1 mark)
2.
(1 mark)
(ii) Describe one thing Mere can do to protect her computer from viruses.
(1 mark)
(c) Mere's computer has these six devices which exchange data with her CPU:
Keyboard Floppy Drive Hard Drive
CDROM Drive RAM ROM
The arrows in the following diagram show the flow of data. Write the name of one device in each box so that the diagram correctly shows how data flows between the CPU and other devices. (3 marks)
(d) Mere needs a floppy disk to store her files.
(i) Mere begins by formatting a floppy disk. Describe one way that she could format the disk.
(1 mark)
(ii) Mere then creates a folder (directory) structure on the floppy disk that looks like this:
(1 mark)
(e) Mere creates a word processor file and saves this file to her disk. She names the file ThirdWeek and puts it in the Nov subfolder. She then quits the word processor.
(i) Describe how Mere can move the file ThirdWeek to the Oct folder (directory), without using the word processor.
(1 mark)
(ii) Explain why moving the file ThirdWeek is different than copying the file to the Oct folder (directory).
(1 mark)
(iii) Later Mere forgets where this file is stored. Describe one way that she could have the computer search for the missing file.
(1 mark)
QUESTION FOUR
Here is the spreadsheet that accounts for each studentís use of the photocopier. This spreadsheet shows the numbers as they appear on the screen.
|
A |
B |
C |
D |
E |
F |
|
|
1 |
PHOTOCOPY ACCOUNTS |
|
Single costs |
$ 0.15 |
||
|
2 |
Backed costs |
$ 0.25 |
||||
|
3 |
||||||
|
4 |
STUDENT |
NO. OF SINGLE |
NO. OF BACKED |
PHOTOCOPYING TOTAL COST |
FEE PAID |
MONEY LEFT |
|
5 |
George |
10 |
0 |
$ 1.50 |
$20.00 |
$ 18.50 |
|
6 |
Helen |
13 |
4 |
$ 2.95 |
$20.00 |
$ 17.05 |
|
7 |
Peti |
6 |
2 |
$ 1.40 |
$20.00 |
$ 18.60 |
|
8 |
Sami |
3 |
16 |
$ 4.45 |
$20.00 |
$ 15.55 |
|
9 |
Esta |
100 |
20 |
$ 20.00 |
$20.00 |
$ 0.00 |
|
10 |
||||||
|
11 |
TOTAL |
$ 69.70 |
(a)
(i) What type of entry is in row 4?
(1 mark)
(ii) What type of entry is in cells B5 to B9?
(1 mark)
(b)
(i) Cell D5 contains a formula. In it there is a reference to cell E1. Explain why it is an absolute reference.
(1 mark)
(ii) The formula in D5 contains another absolute reference. Which cell is referred to in this second reference?
(1 mark)
(iii) Write a suitable formula for cell D5.
(1 mark)
(iv) Describe the difference between a relative cell reference and an absolute cell reference.
(1 mark)
(v) Suppose the cost of paper goes up by two cents a sheet. Describe in detail what change or changes need to be made to the spreadsheet.
(1 mark)
(c) Cell F5 contains a formula. Write down what this formula is.
(1 mark)
(d) Explain why the librarian should look in column F before doing any photocopying for a student.
(1 mark)
(e) Describe in detail the format of row 4, and the format of cell F5.
(i) Row 4
(1 mark)
(ii) Cell F5
(1 mark)
(f) Cell F11 contains a total of the money for photocopying.
(i) Expalin why a function and not a formula should be used in F11.
(1 mark)
(ii) Write an appropriate entry for cell F11.
(1 mark)
(g)
(i) Explain why a spreadsheet is used in this library situation and not a database.
(1 mark)
(ii) Name one spreadsheet.
(1 mark)
(h) George leaves school. He is paid his Money Left of $18.50. Describe what the librarian should do to update the spreadsheet.
(1 mark)
QUESTION FIVE
A school library creates a database of its books. Here is the database at the very start of its construction.
|
TITLE |
AUTHOR |
PUBLISHED |
TYPE |
ISBN |
|
Pyramid Plot |
Sauper J |
25/10/1992 |
Non Fiction |
0746005067 |
|
Asterix and the Secret Weapon |
Uderzo A |
15/02/1991 |
Fiction |
0340568712 |
|
Science Fun |
Johnson M |
02/04/1988 |
Non Fiction |
0746003617 |
|
BFG, The |
Dahl R |
19/07/1982 |
Fiction |
0294106323 |
|
More Murderous Maths |
Poskitt K |
12/09/1998 |
Non Fiction |
0590112600 |
|
Wicked Words |
Deary T |
28/01/1996 |
Non Fiction |
0590542575 |
(a)
(i) How many fields are in this database? (1 mark)
(ii) How many records are in this database? (1 mark)
(b)
(i) Which field or fields are defined as text?
(1 mark)
(ii) Which field or fields are defined as numeric?
(1 mark)
(iii) What other type of field definition is there is this database?
(1 mark)
(c) To test the database the librarian selects all non fiction books. She then does an ascending sort by AUTHOR. (Use the information shown in the diagram to answer this question.)
(i) Write down the title of the first book listed in this process.
(1 mark)
(ii) Explain why the authorsí names are entered in the order of Lastname Initial; and not in the order of Initial Lastname.
(1 mark)
(d) The database is not well designed. The poor design is the storage of the Authorís names.
(i) Describe how the database should be changed to correct this design fault.
(1 mark)
(ii) Give a reason for your answer to question (d) (i).
(1 mark)
(e)
(i) Explain why a database is used for this task in the library, and not a spreadsheet.
(1 mark)
(ii) Name one database.
(1 mark)
(f) The librarian wants to learn about queries which have AND and OR statements.
(i) The librarian applies the following query to the database shown on page 22.
TYPE = Non Fiction AND DATE >= 01/01/1996
In the table write down the TITLES that are selected by this query. (1 mark)
|
TITLE |
|
|
|
|
|
|
|
|
|
|
|
|
(ii) The librarian applies the following query to the database shown on page 22.
ISBN ><PHONE_NUMBER> OR TYPE LIKE "Fiction"
In the table write down the TITLES that are selected by this query. (1 mark)
|
TITLE |
|
|
|
|
|
|
|
|
|
|
|
|
(g) The librarian also wants to learn about reports from a database.
(i) Describe one difference between a report and a query.
(1 mark)
(ii) The librarian makes a report of all Non Fiction TITLES in the database. Here is her report.
. To get the report she used TYPE = Non Fiction. Why does the report not have a column named TYPE in it?
(1 mark)
(h) The librarian must enter the data about all the books in the library. Describe one data integrity practice she could use while doing this job.
(1 mark)
|
|
ANSWER SHEET
MULTIPLE CHOICE
Remember you are to write the letter
of the correct answer only. Marker Use Only
|
Question No. |
Mark |
|
1 |
16 |
|
2 |
16 |
|
3 |
16 |
|
4 |
16 |
|
5 |
16 |
|
M/C |
20 |
|
TOTAL |
100 |


--- layout: post title: no title date: '2015-07-10T18:30:40+02:00' categories: - Storyboards - Aljubarrota - Horses picture_url: https://film-Storyboards.tumblr.com/post/123762136400 ---


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- Image
- The name or UUID of the base image to customize for the cluster.
- Keypair
- The name or UUID of the SSH keypair to load into the cluster nodes.
- Flavor
- The nova flavor id to use when launching the cluster. Default: m1.small
- Master Flavor
- The nova flavor id to use when launching the master node of the cluster. Default: m1.small
- Docker Volume Size
- The size in GB for Docker Volume. Default: 25
- Insecure Registry
- The URL of docker registry.


'Thackeray will have to surrender to 10 Janpath for survival': GVL Narasimha Rao
'Thackeray is seen as untouchable by the Gandhis who do not want to share the stage with him.'
by ANINew Delhi: BJP leader GVL Narasimha Rao said here on Friday that Maharashtra Chief Minister Uddhav Thackeray will have to completely give up his party's ideology and surrender to the Congress party for the survival of his government.
"Uddhav Thackeray has to completely give up his ideology and surrender to 10 Janpath (official residence of Congress party president Sonia Gandhi) in order to survive as a slave of the dynasty. That is the only way his government can survive," said Rao.
"The so-called new secular government in Maharashtra is nothing but an opportunistic alliance of different parties which do not even want to stand by the side of each other," he said.
"Thackeray is seen as untouchable by the Gandhis who do not want to share the stage with him," he added.
Shiv Sena leader Uddhav Thackeray, the leader of Maha Vikas Aghadi of Sena-NCP-Congress, took oath as the 18th Chief Minister of Maharashtra on Thursday.
He is the first member of the Thackeray family to become the chief minister and the third Shiv Sena leader to hold the top post after Manohar Joshi and Narayan Rane.
Catch the latest news, live coverage and in-depth analyses from India and World. Follow us on Facebook and Twitter.


jGrowl Tests
Create a new message.
Shutdown bottom-left container.
An extra wide node, watch as the jGrowl containers stay put in the corners of the screen..
Log:


Filter
Overview
These filters are custom filters to help render experience data in various ways.
This only avaliable to versions 0.11.6 and up
The typical set up is as follows
String Filters
The following filters manipulate string type experience data.
Capitalize
Description
Capitalizes the first character of a string and lowercases any of the characters afterwards
Filter Sample
Truncate
Description
Truncates a string to a number of characters and appends a string at the end. By default, it truncates to 15 characters and appends an ellipse (…).
Filter Samples
Default Settings:
Custom Length:
Custom Length and Suffix:
URL Encode
Description
Encodes a string to make it URL encoded. Helpful for making custom links using experience data.
Filter Sample
URL Decode
Description
Decodes a string that has any encoded characters.
Filter Sample
Escape
Description
Escapes common characters in an HTML string. Currently escapes: &, <, >, “, ‘.
Filter Sample
Unescape
Description
Unescapes common html entities to their ascii characters.
Filter Sample


|
|
|
|
|
|
|
|
Syllabus (download as pdf)
Date
|
Lectures and Readings
|
1/27
1/29
2/3
|
Introduction
to Machine Learning, Basics (3 lectures)
Lecture 1: Intro to ML
- What is ML? ML applications
- Learning paradigms
- Supervised learning (regression,
classification)
- Unsupervised learning (density estimation,
clustering, dimensionality reduction)
Readings:
- Bishop 2.1, Appendix B
- (Optional) Mitchell, Ch 1
- (Optional) Murphy, 1.1, 1.2, 1.3.1
Recitation (Basics of Probability &
Intro to Matlab)
Lecture 2: Learning
Distributions
- Point estimation
- Maximum Likelihood Estimation (MLE)
- Bayesian learning
- Maximum A Posterior (MAP) Estimation
- MLE vs. MAP
- Gaussians
- What is ML revisited
Readings:
|
2/5
2/10
2/12
|
Linear
Models (Regression, Classification) (3 lectures)
Lecture 3: Linear Regression
- Linear Regression, [Applet]
- Regularized Least Squares,
- Overfitting,
- Bias-Variance Tradeoff,
Readings:
- Bishop 1.1 to 1.4,
- Bishop 3.1, 3.1.1, 3.1.4, 3.1.5, 3.2, 3.3, 3.3.1,
3.3.2
- (Additional Resource) Andrew
Moore’s Tutorial on regression
- (Optional) Hastie, Ch 7
- (Optional) Murphy, 1.4, Ch 7
Lecture 4: Naive Bayes
- Bayes Optimal Classifier
- Conditional Independence,
- Naive Bayes, [Applet]
- Gaussian Naive Bayes
Readings:
Lecture 5: Logistic Regression
- Generative v. Discriminative
- Logistic Regression [Applet]
Readings:
|
2/17
2/19
2/24
2/26
3/3
|
Non-linear
Models and Model Selection (5 lectures)
Lecture 6: Decision Trees
- Decision Trees [Applet]
- Entropy, Information Gain
- Overfitting, Pre-and Post-pruning
Readings:
- (Bishop - 1.6) Information Theory
- (Bishop - 14.4) Tree-based Models
- (Recommended) Quantities
of Information Wikipedia entry
- (Recommended) Nils Nilsson's ML book (Ch 6, all
sections): Decision
Trees
- (Optional) Mitchell, Ch 3
- (Optional) Murphy, 16.2
Lecture 7: Boosting
- Combining weak classifiers
- Adaboost algorithm [Adaboost
Applet]
- Comparison with logistic regression and
bagging
Readings:
Lecture 8: Model Selection
- Cross Validation,
- Simple Model Selection,
- Regularization,
- Information Criteria (AIC, BIC, MDL)
Readings:
Lecture 9: Neural Networks
- Neural Nets [Applet]
- Prediction – Forward-propagation
- Training – Back-propagation
Readings:
- (Bishop 5.1) Feed-forward Network Functions
- (Bishop 5.2) Network Training
- (Bishop 5.3) Error Back-propagation
- (Additional Resource) [CMU
Course] on Neural Nets
- (Optional) Murphy, 16.5
Lecture 10: Nonparametric Methods
- Instance-based Learning [Applet]
- Histogram, Kernel Density Estimation
- K-NN Classifier
- Kernel Regression
Readings:
|
3/5
3/10
|
Margin-based
Approaches (2 lectures)
Lecture 11: Support Vector Machines
Readings:
Lecture 12: The Kernel Trick
- Dual SVM
- Kernel Trick
- Comparison with Kernel regression and Logistic
Regression
Readings:
|
|
3/12
3/17 3/19
3/24
3/26
|
Midterm Exam
NO CLASS (Spring Break)
Learning
Theory (2 lectures)
Lecture 13: PAC Learning
- PAC-learning [Applets]
- Sample complexity
- Haussler bound, Hoeffding's bound
Readings:
Lecture 14: VC Dimension
- VC Dimension
- Mistake Bounds
- Midterm exam review
Readings:
|
3/31
4/2
4/7
4/9
|
Structured
Models (Graphical Models and HMM) (4 lectures)
Lecture 15: Bayesian Networks –
Representation
Readings:
Lecture 16: Bayesian Networks –
Inference
- Marginalization
- Variable Elimination
Readings:
- (Bishop 8.4.1, 8.4.2) - Inference in Chain/Tree
Structures
- (Optional) Murphy, 10.3
Lecture 17: Bayesian Networks –
Structure Learning
- Learning CPTs
- Learning structure - Chow-Liu Algorithm
Readings:
Lecture 18: Hidden Markov Models
- HMM Representation
- Forward Algorithm
- Forward-Backward Algorithm
- Viterbi Algorithm
- Baum-Welch Algorithm
Readings:
|
4/14
4/16
4/21
|
Unsupervised
learning (3 lectures)
Lecture 19: Clustering I
- Hierarchical Clustering
- Spectral Clustering [Demo]
Readings:
Lecture 20: Clustering II
Readings:
- (Bishop 9.1, 9.2) - K-means, Mixtures of
Gaussian
Lecture 21: Expectation Maximization
Readings:
|
4/23
|
Learning
in High Dimensions (1 lecture)
Lecture 23: Dimensionality reduction
- Curse of Dimensionality
- Feature Selection
- Principal Component Analysis (PCA)
Readings:
|
4/28
|
Semi-supervised learning (1 lecture)
Lecture 22: Semi-Supervised Learning
- Mixture Models
- Graph Regularization
- Co-training
Readings:
|
|
4/30
5/5
5/7
5/19
|
Project Presentations I
Last Lecture and Final Exam Overview
Project Presentations II
Final Exam
|
Last modified: 2014, by Leman
Akoglu
|
|


WITNESS LIST Licensing & Administrative Procedures Committee November 14, 2005-11:00A Oversight: Texas Lottery Commission On: Charles, Shelton (Self) Clowe, Jr., C. Tom (Texas Lottery Commission) Fealy, Barry (Texas Lottery Commission) Fernandez, Michael (Texas Lottery Commission) Grief, Gary (Texas Lottery Commission) Kiplin, Kim (Texas Lottery Commission) Lanier, Dustin (Department of Information Resources) Melvin, Catherine (Texas Lottery Commission) Pulido, Joeseph (Texas Lottery Commission) Rawson, Brian (Department of Information Resources) Salinas, Candy (Texas Lottery Commission)


FIRELIGHT
Reviewed by Harvey Karten, Ph.D. Miramax Films Director: William Nicholson Writer: William Nicholson Cast:Sophie Marceau, Stephen Dillane, Dominique Belcourt, Kevin Anderson, Lia Williams, Joss Ackland
One of the reasons that critics and general audiences do not often agree is that professional reviewers do not generally like highly sentimental movies. Stories that might give a susceptible person a diabetic attack are too often the stuff of daytime TV soaps, sketchy dramas designed purely to evoke tears of pathos and cries of joy from their viewers. The problems of mushy productions are customarily unoriginal, the conclusions predictable.
Though "Firelight" may be guilty of swirling with Victorian suds, its story is a far cry from General Hospital. "Firelight" features exceptionally fine acting from Stephen Dillane and Sophie Marceau as the story's lovers, two people whose chemistry is so robust that you can feel them bursting within as they struggle to maintain a properly British restraint. As Elisabeth (Sophie Marceau), a Swiss woman who eventually becomes a governess to the prosperous English landowner Charles (Stephen Dillane), she must at first appear to be immune to his charm just as Charles must seem wholly businesslike in her magnetic presence. As their outer shell gradually cracks, their passions burst forth. We breathe a sigh of relief when their mutual affinity is fulfilled. Despite a predictable ending that leaves all loose ends happily secured, the picture casts a spell over its audience with director William Nicholson's gauzy lensing and his repeated, opportune use of the titled firelight. As Nicholson writes in his screenplay for the film, "In the firelight you do what you want, say what you want, be what you want. When the lamps are lit again, time starts again, and everything you said or did is forgotten. More than forgotten, it never happened."
This quote sums up the central theme of the narrative. The action is motivated by a strictly business arrangement made between Charles and Elisabeth, one with contemporary resonance, as Charles needs a woman to bear an heir to his estate. The surrogate mother must not know his name or habitation in this anonymous transaction. Whatever goes down, so to speak, must be absolutely forgotten. For the sum of 500 pounds--a princely amount in the England of the 1830's--Elisabeth is to submit to Charles's sexual advances for just three nights.  Held apart by the conventions of the time (Charles may not marry her since his own wife is in a coma but yet alive), they are freed "in the magic of the firelight."
William Nicholson, who both scripted and helms the lush bodice-ripper, is known for his creation of "Shadowlands" and has a background with BBC for restrained dramas. We thus expect a picture much like the elegant and witty "Mrs. Brown," a movie with romantic overtones to match its intelligence. That is what we get. The initial scene is the most effective one. Charles and Elisabeth meet for the first time to work out the details of the contract and act thoroughly businesslike during their initial coupling. The very next evening, Elisabeth has shed the last article of protective clothing and has begun to enjoy her new, albeit temporary, job. By the third night the sparks are flying. Yet throughout, Charles and Elisabeth seem in denial, refusing to admit their mutual infatuation.
The supporting roles are splendid, particularly those of Joss Ackland as Charles's father, Lord Clare, whose profligate spending throws the estate into a Chekhovian bankruptcy; and little Dominique Belcourt as Louisa, the hell-raising heir to the estate who does not suspect that the woman who is serving as her governess and teacher is her own dear mother. Kevin Anderson is on screen for a disappointingly shor time in a role too small fo his talents--as the American sheep farmer who is negotiating a business deal with Charles and who, after his proposal of marriage to Elisabeth is turned down, replies with the most un-1830's comment, "It doesn't hurt to ask."
The lovely and ultra-refined Sophie Marceau is a true find in her first English role, one which could be a major breakthrough for her career. Christopher Gunning's score may be saccharine but is absolutely effective in pumping up the electric atmosphere of this carefully-paced tale, which involves such contemporary concerns as class consciousness, euthanasia, surrogate motherhood, and even the proper upbringing of children.
Rated R. Running time: 103 minutes. (C) Harvey Karten 1998
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


Pakistan Successfully Conducts Test Launch of Long-Range-Ballistic Missile - Video
Earlier this year, Pakistan had successfully held a night training test-launch of its surface-to-surface ballistic missile, Ghaznavi.
Pakistan had successfully completed the training launch of surface-to-surface ballistic missile Shaheen-1, according to Pakistani Armed Forces.
Director General Inter Services Public Relations Major General Asif Ghafoor said that that the missile is capable of delivering all types of warheads to a range of 650 kilometres.
The missile hit its target in the Arabian Sea. The two-stage missile can carry nuclear and conventional warheads and strike with a high degree of accuracy.
Pakistan has two other medium-range ballistic missiles, the Shaheen-II and the Ghauri. The Ghauri is currently operationally deployed. Two other ballistic missiles, the Shaheen-III and the Ababeel, are currently under development by the National Development Complex.
Earlier on Saturday, India's state-funded DRDO successfully conducted the first night trial of its nuclear capable intermediate range ballistic missile Agni-II off the Odisha coast in Bay of Bengal.


Link to Personal Page: https://jkim10.github.io/
Link to Demo/Examples: https://let-s-decide-3750d.web.app/
COMS4995¶
Let's Decide¶
Decision Making App
Motivation¶
Decision making is really hard, even for one person. It's even worse for a pair, group, or crowd. So, Let's Decide is a group decision app that allows for blame free, guilt free decision making on things like food, activities, movies, etc.
Objective¶
Create a app that allows people to create and join a room using a code "Like Jackbox or Kahoot" that brings up the list of suggestions. Then, the app gets the highest ranking mutual ranking and spits out the decision.
Run Tests¶
pytest -v


No information available on a dinosaur called {{home.query}}, sorry!
Rawr! There was an error retrieving dinosaur data.


Dag¶
Note
OPS! For internal use!
-
class
systemds.script_building.dag.
DAGNode
¶ A Node in the directed-acyclic-graph (DAG) defining all operations.
-
code_line
(var_name: str, unnamed_input_vars: Sequence[str], named_input_vars: Dict[str, str]) → str¶ Generates the DML code line equal to the intended action of this node.
- Parameters
var_name – Name of DML-variable this nodes result should be saved in
unnamed_input_vars – all strings representing the unnamed parameters
named_input_vars – all strings representing the named parameters (name value pairs)
- Returns
the DML code line that is equal to this operation
-
compute
(verbose: bool = False, lineage: bool = False) → Any¶ Get result of this operation. Builds the dml script and executes it in SystemDS, before this method is called all operations are only building the DAG without actually executing (lazy evaluation).
- Parameters
verbose – Can be activated to print additional information such as created DML-Script
lineage – Can be activated to print lineage trace till this node
- Returns
the output as an python builtin data type or numpy array
-
get_lineage_trace
() → str¶ Get lineage trace of this operation. This executes the dml script but unlike compute, doesn’t store the results
-
pass_python_data_to_prepared_script
(jvm: py4j.java_gateway.JVMView, var_name: str, prepared_script: py4j.java_gateway.JavaObject) → None¶ Passes data from python to the prepared script object.
- Parameters
jvm – the java virtual machine object
var_name – the variable name the data should get in java
prepared_script – the prepared script
-
-
class
systemds.script_building.dag.
OutputType
(value)¶ An enumeration.


Select up to 3 celebrities for your campaign, then click the Request a Campaign button and fill out the form. We'll handle the rest for you.
We are analyzing your account for some awesome data insights!


Identifies a friend function as virtual.
The <cxxFriendVirtual> element has two mandatory attributes: name and value. Both attributes default to the value "virtual".
The virtual specifier shall only be used in declarations of nonstatic class member functions that appear within a member-specification of a class declaration; see ISO/IEC 14882:2003(E) 10.3. Virtual functions [class.virtual].


Expanding an array without an index only gives the first element.
myarray=(foo bar)
for f in $myarray
do
cat "$f"
done
myarray=(foo bar)
for f in "${myarray[@]}"
do
cat "$f"
done
When referencing arrays, $myarray
is equivalent to ${myarray[0]}
-- it results in only the first of multiple elements.
To get all elements as separate parameters, use the index @
(and make sure to double quote). In the example, echo "${myarray[@]}"
is equivalent to echo "foo" "bar"
.
To get all elements as a single parameter, concatenated by the first character in IFS
, use the index *
. In the example, echo "${myarray[*]}"
is equivalent to echo "foo bar"
.
None.


ABOUT
HOW IT WORKS
CONTACT
Select location or just manuver through map
Check various filters and health issues
See details of health statistics and graphs


Flatbot Route Inspection Report
{{route_name}}
Flatbot inspected this route and found:
- Pain:
- {{pain}} kikohurts
- Joy:
- -{{joy}} kilohurts
- Total distance:
- {{total_distance}} kilometers
- Biggest climb:
- {% if biggest_climb %}{{biggest_climb.pain}} hurts, {{biggest_climb.slope_percentage}}% incline over {{biggest_climb.run}} meters{% else %}No climbs!{% endif %}
- Biggest drop:
- {% if biggest_drop %}-{{biggest_drop.joy}} hurts, {{biggest_drop.slope_percentage}}% incline over {{biggest_drop.run}} meters{% else %}No drops!{% endif %}
- Steepest uphill slope:
- {{steepest_uphill}}%{% if uphill_slope_warning %} warning{% endif %}
- Steepest downhill slope:
- {{steepest_downhill}}%{% if downhill_slope_warning %} warning{% endif %}
{% if uphill_slope_warning %}
Slope warning!
There is a steep uphill on this course!
The steepest slope of {{steepest_uphill}}% exceeded the max_slope of {{max_slope}}%.
{% endif %}
{% if downhill_slope_warning %}
Slope warning!
There is a steep downhill on this course!
The steepest slope of {{steepest_downhill}}% exceeded the max_slope of -{{max_slope}}%.
{% endif %}
{% if climbs.size > 0 %}
Slopes
| score |
pain/joy |
incline |
distance |
{% for climb in climbs %}
| {{ climb.score_emoji }} |
{% if climb.area > 0 %}{{ climb.pain }} hurts{% else %}-{{ climb.joy }} hurts{% endif %} |
{{ climb.slope_percentage }}% |
{{ climb.run }} meters |
{% endfor %}
{% endif %}


The Firebug Swarm is a collection of Firebug extensions tested together. This co-testing and co-distribution helps users know that these extensions will work and that they have the correct versions.
If you reach this page with a version Firebug Swarm supported browser, then you should be redirected to the Swarm page appropriate for your browser.


The movie "Pay it Forward" (2000) tells the story of Trevor McKinney - an 11-year-old boy that launched a goodwill movement known as "pay it forward".
In the movie, Trevor's social studies teacher gives the class an assignment to devise and put into action a plan that will change the world for the better.
Trevor's plan is a charitable program based on the networking of good deeds. He calls his plan "pay it forward", which means the recipient of a favor does a favor for three others rather than paying the favor back.
In this assignment, I simulated the spread of good deeds within a community, as a dependency of how many people "paid it forward".


1. Report a change
Landlords, letting agents and tenants can report changes to help us send accurate council tax bills to the right people at the right time.
Tenants - let us know if you're moving
If you are moving in or out of a property, let us know about a change of address.
Landlords and letting agents - report changes in tenancy
You will need to contact us with the following information:
- full address of the property
- full names of tenant/s moving in or out
- date the tenancy starts or ends
Landlords – buying or selling a property?
Please tell us if you have bought a property to rent out. We will need to know how to contact you if we need to query tenant information and where to send a bill if your rental property is empty.
If you sell your rental property, let us know so that we can stop contacting you about that property.


FrEIA
from typing import Tuple, Iterable, List import torch.nn as nn from torch import Tensor [docs]class InvertibleModule(nn.Module): """ Base class for all invertible modules in FrEIA. Given `module`, an instance of some InvertibleOperator. This `module` shall be invertible in its input dimensions, so that the input can be recovered by applying the module in backwards mode (`rev=True`), not to be confused with `pytorch.backward()` which computes the gradient of an operation. ``` x = torch.randn(BATCH_SIZE, DIM_COUNT) c = torch.randn(BATCH_SIZE, CONDITION_DIM) # Forward mode z, jac = module([x], [c], jac=True) # Backward mode x_rev, jac_rev = module(z, [c], rev=True, jac=True) ``` The `module` returns $\log \det J = \log \det \frac{\partial f}{\partial x}$ of the operation in forward mode, and $-\log \det J = \log \det \frac{\partial f^{-1}}{\partial z} = -\log \det \frac{\partial f}{\partial x}$ in backward mode (`rev=True`). Then, `torch.allclose(x, x_rev[0]) == True` and `jac == -jac_rev`. """ [docs] def __init__(self, dims_in: Iterable[Tuple[int]], dims_c: Iterable[Tuple[int]] = None): """ Parameters: dims_in: list of tuples specifying the shape of the inputs to this operator: dims_in = [shape_x_0, shape_x_1, ...] dims_c: list of tuples specifying the shape of the conditions to this operator. """ super().__init__() if dims_c is None: dims_c = [] self.dims_in = list(dims_in) self.dims_c = list(dims_c) [docs] def forward(self, x_or_z: Iterable[Tensor], c: Iterable[Tensor] = None, rev: bool = False, jac: bool = True) \ -> Tuple[Tuple[Tensor], Tensor]: """ Perform a forward (default, `rev=False`) or backward pass (`rev=True`) through this module/operator. *Note to implementers:* - Subclasses MUST return a Jacobian when jac=True, but CAN return a valid Jacobian when jac=False (not punished). The latter is only recommended if the computation of the Jacobian is trivial. - Subclasses MUST follow the convention that the returned Jacobian be consistent with the evaluation direction. Let's make this more precise: Let $f$ be the function that the subclass represents. Then: $$$ J = \log \det \frac{\partial f}{\partial x} \\ -J = \log \det \frac{\partial f^{-1}}{\partial z}. $$$ Any subclass MUST return $J$ for forward evaluation (`rev=False`), and $-J$ for backward evaluation (`rev=True`). Parameters: x_or_z: input data (array-like of one or more tensors) c: conditioning data (array-like of none or more tensors) rev: perform backward pass jac: return Jacobian associated to the direction """ raise NotImplementedError( f"{self.__class__.__name__} does not provide forward(...) method") [docs] def jacobian(self, *args, **kwargs): raise DeprecationWarning("module.jacobian(...) is deprecated. " "module.forward(..., jac=True) returns a " "tuple (out, jacobian) now.") [docs] def output_dims(self, input_dims: List[Tuple[int]]) -> List[Tuple[int]]: raise NotImplementedError( f"{self.__class__.__name__} does not provide output_dims(...)")


Sondland's testimony 'very important moment' in impeachment inquiry: Schiff
WASHINGTON (Reuters) - The head of the U.S. House Intelligence Committee, Adam Schiff, said on Wednesday that morning testimony from European Union Ambassador Gordon Sondland was a very important moment in the impeachment inquiry of President Donald Trump.
“It goes right to the heart of the issue of bribery as well as other potential high crimes and misdemeanors,” Schiff told reporters. “But we also have heard for the first time that knowledge of this scheme was pervasive.”
He then said it was “a very important moment in the history of this inquiry.”


|
keigeki
1.0.0
傾撃
|
#import <CCGrid.h>
Instance Methods | |
| (id) | - initWithSize:texture:flippedTexture: |
| (id) | - initWithSize: |
| (void) | - beforeDraw |
| (void) | - afterDraw: |
| (void) | - blit |
| (void) | - reuse |
| (void) | - calculateVertexPoints |
Class Methods | |
| (id) | + gridWithSize:texture:flippedTexture: |
| (id) | + gridWithSize: |
Protected Attributes | |
| BOOL | active_ |
| int | reuseGrid_ |
| ccGridSize | gridSize_ |
| CCTexture2D * | texture_ |
| CGPoint | step_ |
| CCGrabber * | grabber_ |
| BOOL | isTextureFlipped_ |
| CCGLProgram * | shaderProgram_ |
| ccDirectorProjection | directorProjection_ |
Properties | |
| BOOL | active |
| int | reuseGrid |
| ccGridSize | gridSize |
| CGPoint | step |
| CCTexture2D * | texture |
| CCGrabber * | grabber |
| BOOL | isTextureFlipped |
| CCGLProgram * | shaderProgram |
Base class for other
|
readwritenonatomicassign |
wheter or not the grid is active
|
readwritenonatomicretain |
grabber used
|
readnonatomicassign |
size of the grid
|
readwritenonatomicassign |
is texture flipped
|
readwritenonatomicassign |
number of times that the grid will be reused
|
readwritenonatomicassign |
shader program
|
readwritenonatomicassign |
pixels between the grids
|
readwritenonatomicretain |
texture used


{# This template receives the following pieces of context in addition to the form: #} {% extends "security/base.html" %} {% from "security/_macros.html" import render_field_with_errors, render_field, render_field_errors, prop_next %} {% block head_scripts %} {{ super() }} {% endblock head_scripts %} {% block content %} {% include "security/_messages.html" %} {% if not is_secondary %}


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| crazyarrow/ | 100% | 10/10 | 100% | 0/0 | 100% | 0/0 | 100% | 10/10 | |
| crazyarrow/config/middleware/ | 95.31% | 61/64 | 79.41% | 27/34 | 100% | 12/12 | 95.31% | 61/64 | |
| crazyarrow/helpers/ | 100% | 9/9 | 100% | 2/2 | 100% | 1/1 | 100% | 9/9 | |
| crazyarrow/libs/ | 98.06% | 858/875 | 94.06% | 412/438 | 98.68% | 150/152 | 98.03% | 847/864 | |
| crazyarrow/manager/ | 77.87% | 190/244 | 60.9% | 81/133 | 66.67% | 36/54 | 77.87% | 190/244 | |
| crazyarrow/manager/handleAttribute/ | 100% | 131/131 | 100% | 56/56 | 100% | 29/29 | 100% | 131/131 | |
| crazyarrow/manager/helper/ | 100% | 30/30 | 100% | 6/6 | 100% | 7/7 | 100% | 30/30 | |
| crazyarrow/templateExtends/ | 100% | 1/1 | 100% | 0/0 | 100% | 0/0 | 100% | 1/1 | |
| crazyarrow/templateExtends/filter/ | 100% | 4/4 | 100% | 0/0 | 100% | 2/2 | 100% | 4/4 | |
| crazyarrow/templateExtends/function/ | 94.44% | 17/18 | 83.33% | 5/6 | 100% | 4/4 | 94.44% | 17/18 |


You need to add "$('#dialog-container').show()" in your code, else alerts won't be shown. (The dialog container has the prop "display: none"). Also you could use the fadeIn effect and the overlay element. (If you want to test it, visit any profile with an emblem, click on it, a battlelog native alert will open)
Also the "mark the battlelog team"-Regex is broken once again
BrainFooLong
Administrator
Thx. Popup will be fixed.
But the bblog team regex work for me in both bf3/bf4.
With v<IP_ADDRESS>


May 6, 2003 - I'd like to welcome you to my website. Hope you enjoy my new "look & feel"!! Another enhancement to the website will be the addition of desktop wallpaper images to the site, making them available for download FREE OF CHARGE! Please bear with me during this transformation... it should be worth it! Thank you! Jim |
|
Copyright © 2003 - All Rights Reserved Send comments, etc. to: Jim Garling Any unauthorized use of the information or photos contained within this site will result in legal action punishable to the fullest permitted by law. |


Database Setup
Click on the 'Create / Reset Database' button below to create or reset your database.
If you get an error make sure you have the correct user credentials in: /app/config/config.inc.php
If the database already exists, it will be cleared and the data will be reset.
You can also use this to reset the administrator credentials ("admin // password") at any stage.
Setup Check
Operating system:
*nix
Backend database:
MySQL
PHP version:
5.5.9-1ubuntu4.25
Web Server SERVER_NAME:
<IP_ADDRESS>
PHP function display_errors:
Disabled
PHP function safe_mode:
Disabled
PHP function allow_url_include:
Enabled
PHP function allow_url_fopen:
Enabled
PHP function magic_quotes_gpc:
Disabled
PHP module php-gd:
Installed
reCAPTCHA key:
Missing
Writable folder /app/hackable/uploads/:
Yes)
Writable file /app/external/phpids/0.6/lib/IDS/tmp/phpids_log.txt:
Yes
Status in red, indicate there will be an issue when trying to complete some modules.
Unable to connect to the database.


Welcome to Part 8 - Deep Learning!
Deep Learning is the most exciting and powerful branch of Machine Learning. Deep Learning models can be used for a variety of complex tasks:
- Artificial Neural Networks for Regression and Classification
- Convolutional Neural Networks for Computer Vision
- Recurrent Neural Networks for Time Series Analysis
- Self Organizing Maps for Feature Extraction
- Deep Boltzmann Machines for Recommendation Systems
- Auto Encoders for Recommendation Systems
In this part, you will understand and learn how to implement the following Deep Learning models:
- Artificial Neural Networks for a Business Problem
- Convolutional Neural Networks for a Computer Vision task
Enjoy Machine Learning!


Machine Learning
Statistics
Big Data
Algorithms
Statistical Modeling
Data Modeling
Software Development
Programming
Mathematical Modeling
Optimization
Business Analytics
Quantitative Analytics
Singing
Python
R
SQL
Microsoft SQL Server
Databases
Microsoft Excel
Java
C++
C#
LaTeX
SAS
Hadoop
VBA
Perl
Predictive Analytics
Predictive Modeling
FoxPro
Time Series Analysis
Hot Water
Meat Processing
Neural Networks
Disney
Pizza
Concessions
Natural Language Processing
Apache Pig