| Match : | CSK vs RCB |
| Venue : | DUBAI |
| Date : | 10 Oct,2020 |
| Time : | 07:30PM IST |
| Tournament : | IPL 2020 |
RCB won the Toss and Choose to BAT first.
Ten matches have been played in Dubai so far, with Delhi Capitals' 157 the lowest first-innings total. Fleming spoke of CSK's desire to be able to field a spin troika - of Piyush Chawla, Ravindra Jadeja and Karn Sharma - when the pitches get drier, but the league doesn't seem to have reached there yet. Faf du Plessis and Shane Watson's flying start in Dubai, and RCB's ploy to attack the opposition in the PowerPlay with their best bowling resources to avoid cracking under pressure at the death, will make for quite a compelling viewing.
Overall Head to Head
Total Matches :
CSK :
RCB:
No Result :
Recent Head to Head
Matches :
CSK :
RCB:
Shane Watson, Faf du Plessis, Ambati Rayudu, MS Dhoni(w/c), N Jagadeesan, Sam Curran, Ravindra Jadeja, Dwayne Bravo, Shardul Thakur, Deepak Chahar, Karn Sharma
Devdutt Padikkal, Aaron Finch, Virat Kohli(c), AB de Villiers(w), Gurkeerat Singh Mann, Shivam Dube, Chris Morris, Washington Sundar, Isuru Udana, Navdeep Saini, Yuzvendra Chahal


Introduction
Hi Scott, Harry and Crucible Team. Here's some documentation about the service layer of the Enzo project.
Here is the Garment object that you have outlined.
To see an updating version of this code in action: Codepen
The camera object is subject to change, now that we have access to a model.
As of 7/12/19, Emersya's API has been updated, deprecating some functions. I am in the process of updating functions in this layer that no longer work. Essentially what needed a string before, is now merged into a single API function that takes an array.
// Example currentGarment with data.
const currentGarment = {
view: {
combination: "TU0101",
component: "T010203",
latestOptionSelected: "T01020325",
},
garment: {
id: "02",
subCategory: "Half Canvas",
options: {
fabrics_group: "12107",
linings_group: "12102",
"T010203": "T01020325",
}
}
};
Instantiating the Visualizer
My understanding is that if the customizer retains settings from previous garments, then reinstantiating the viewer by selecting a new garment will preserve the previous state if the user returns to that garment.
garmentID refers to the unique id stored in the garment object above. This will be referenced with a static object of values to get the correct ID of the iframe on Emersya.
To initialize, use this code:
const visualizer = new Visualizer(document.querySelector('#emersyaIframe'));
visualizer.init(currentGarment);
'#emersyaIframe' can be whatever you would prefer the id of the iframe to be.
The Update function
This will be the primary way to interact with the service layer. The update function accepts an object (such as currentGarment above) and compares it to the object currently held in garmentState
which is set by the visualizer when it was initialized. If the data is structured as it is above, it will be able to find the options
object in garment
.
Whether you update currentGarment
or you pass in a new version, it will attempt to update it's held object values to match the new.
visualizer.update(currentGarment);
Customizer Functions
For when you want to call the functions yourself. Update will utilise these functions automatically, however some functions such as getGarmentScreenshots
will need to be called manually.
Change Garment
Specify the garment's ID, which we will have set in stone once all the finalised models are added. At this moment in time, the ID used for each garment is not editable.
let emersyaID = visualizer.init(currentGarment);
Change Garment View
Some garments will have actionable points that will affect the model. An example is a suit jacket being clicked to open and reveal the inner lining.
The function will also call when selecting it in the customizer.
var garmentView = visualizer.changeGarmentView(triggerId);
Change Garment Material
changeGarmentLining has been merged with changeGarmentMaterial
Since the primary key and customizations of the garment are exclusive to 1 change per part of the garment.
In the case of something like buttons, if we need to provide a material choice as well as a quantity choice, then use changeGarmentCustomization
to set the quantity.
var garmentMaterial = visualizer.changeGarmentMaterial(display, material);
Change Garment Customization
As of 23/12/19, Emma has stated that changing the material and changing the customization are handled by the same API function. I will keep this method in the documentation but it will essentially run the same as changeGarmentMaterial
.
It is recommended that these functions are not used unless necessary, as they will not change the currentState held by the visualizer.
var garmentCustomization = visualizer.changeGarmentCustomization(id);
Reset Viewer to default
Likely not needed, but may be useful. Accepts data of options that have been cleared of customizations.
visualizer.resetView(currentGarment);
Take Garment Screenshots for checkout
This function will generate 4 images from the garment (front, back, left, right), on a transparent background, and return an array of URLs.
visualizer.getGarmentScreenshots();
var garmentScreenshots = visualizer.screenshots;
Visualizer Functions
The visualizer functions are all functions that affect the customizer. You can call them if you wish and trigger them manually, but the visualizer will be listening for these events and trigger them automatically.
Set Highlight
Accepts an array of materials to be highlighted. Pass a single configurable material to highlight only one.
visualizer.setHighlight(display);
// This should remove all highlights that were set manually.
visualizer.setHighlight();


{% extends 'base.html' %} {% load static %} {% block content %}
The form has been pre-populated with the search results. If no suitable skills have been found, the fields have been left blank.
{% endif %} Click here to show the list of skills or select skills


This page "{404}" that you are looking for doesn't exist or have been moved to another directory path, click on button below to back to last page and skip this message.


-
Burn Baby Burn – AVC
avc.com
Andy sent me a WSJ piece with Bill Gurley yesterday. I don’t like to link to paid content so here’s a good Business Insider summary of the article ...
-
Peter Thiel, technology entrepreneur and investor. AMA • /r/IAmA
www.reddit.com
**My short bio:** Hi, I'm Peter Thiel, co-founder of PayPal and Palantir, first investor in Facebook, venture capitalist at Founders Fund, and...
-
Daddy Daughter Podcast
www.stitcher.com
Listen to Daddy Daughter Podcast episodes free, on demand. Podcast by Daddy Daughter Podcast. Listen to over 25,000 radio shows, podcasts and live ...
-
Miss a Payment? Good Luck Moving That Car - NYTimes.com
dealbook.nytimes.com
The thermometer showed a 103.5-degree fever, and her 10-year-old’s asthma was flaring up. Mary Bolender, who lives in Las Vegas, needed to get her ...
-
7 New Startups San Francisco Can't Stop Talking About
www.businessinsider.com
What investors and entrepreneurs are into these days.
-
This Is How You Get People to Trust Your Product
firstround.com
Most new tech companies simply would not work without consumer trust. People wouldn’t get into an Uber, list their home on Airbnb, or even buy shoes ...
-
Testing a way for you to make purchases on Twitter | Twitter Blogs
blog.twitter.com
A new way to discover and buy products on Twitter.
-
Event Home | TechCrunch
techcrunch.com
Event Home | Disrupt SF 2014 - San Francisco - September 8 - 10, 2014
-
NASA TV
www.nasa.gov
NASA Television provides live coverage of launches, spacewalks and other mission events, as well as the latest news briefings, video files, and the ...
-
M6.0 - 6km NW of American Canyon, California (BETA) 2014-08-24 10:20:44 UTC
comcat.cr.usgs.gov
USGS Earthquake Hazards Program, responsible for monitoring, reporting, and researching earthquakes and earthquake hazards


Welcome to Latoya
Latoya Consultancy(Australia) started in 2009 at Chatswood and Sydney Cities.
Despite initial challenges, both locations have grown beyond their expected potentials and are steadily gaining the reputation
of providing computer hardware and IT solutions to the market place at the best possible price, coupled with outstanding service.


Auto Backup for Unifi CloudKey
Working with Ubiquiti gear is a wild ride; the ecstasy of deploying enterprise-grade gear for the borderline absurd prices that the Edge and Unifi lines enable is all to often ruined by the agony of buggy firmware, features that were promised on GA releases that are still not implemented 2 years later, and questionable business decisions regarding certain product lines. One of the recent frustrations I’ve had wasbeing forced into buying a CloudKey+ in order to run a fully updated version of Unifi Protect, after years of fully self-hosting all my stuff.
While the bugs that I encountered since the 1st gen. CloudKey days seem to have been fixed, the problems caused by having a physical appliance running the controllers still presents problems regarding backups and service availability in case of a hardware-related issue. While all controllers now have an autobackup feature, the backup files are still hosted on the appliance; this really isn’t a backup in any meaningful sense of the word.
If you want any sort of safety at all, you need to get those files off the appliance. Luckily, the CloudKey is basically just a fancy ARM64 computer with a custom image of Debian on it, and it is still fairly extensible, so there are plenty of ways to pull the autobackup files off of the device.
Since the autobackup file retention is managed from within the Unifi controller, all we really need to do is keep an updated copy of those files somewhere else, so I instinctively tried to run an RSYNC over SSH on the device. RSYNC failed, as the service isn’t installed by default on the Cloudkey, but installing this service is as easy as on any other linux device, as the regular Debian Stretch repos were not removed from the appliance. Get root SSH access and run the following commands:
apt-get update && apt-get install rsync
From there, you’ll need to configure the SSH access via password-less authentication on the CloudKey to enable rsync to do it’s job.
cd /root
mkdir .ssh && chmod 755 ./.ssh
touch ./.ssh/authorized_keys && chmod 644 ./.ssh/authorized_keys
service sshd restart
On the machine that will be fetching the backup files (in my case, a FreeNAS box), copy your public key to allow password-less access:
ssh-copy-id root@INSERT_CLOUDKEY_IP
You can now pull backups in from another machine to grab the backups. FreeNAS has a GUI utility to help you build RSYNC jobs, but a cron job would work just as well. The paths for the auto-backup folders are the following:
Unifi: /srv/unifi/data/backup/autobackup/
Unifi Access: /srv/unifi-access/workspace/backup/
Unifi Protect (configuration): /etc/unifi-protect/backups/
Unifi Protect (video files): /srv/unifi-protect/video/
These paths only backup the configurations. Seeing that a lot of the problems I’ve had in the past with the Unifi controller was related to the MongoDB backend, I decided that it was probably wiser not to try pulling files from a live database. If the Unifi service was stopped, I don’t see why you couldn’t copy the entire application folder, logs, database and all.


|
Apache log4cxx
Version 0.10.0
|
Defines the minimum set of levels recognized by the system, that is OFF
, FATAL
, ERROR
, WARN
, INFO
, DEBUG
and ALL
.
More...
Inherits ObjectImpl.
Classes | |
| class | LevelClass |
Public Types | |
| enum | { OFF_INT = INT_MAX, FATAL_INT = 50000, ERROR_INT = 40000, WARN_INT = 30000, INFO_INT = 20000, DEBUG_INT = 10000, TRACE_INT = 5000, ALL_INT = INT_MIN } |
Public Member Functions | |
| Level (int level, const LogString &name, int syslogEquivalent) | |
| Instantiate a Level object. More... | |
| void | toString (std::string &name) const |
| Get the name of the level in the current encoding. More... | |
| void | toString (std::wstring &name) const |
| Get the name of the level. More... | |
| void | toString (std::basic_string< UniChar > &name) const |
| Get the name of the level. More... | |
| void | toString (CFStringRef &name) const |
| Get the name of the level. More... | |
| LogString | toString () const |
| Returns the string representation of this level. More... | |
| virtual bool | equals (const LevelPtr &level) const |
| Two levels are equal if their level fields are equal. More... | |
| bool | operator== (const Level &level1) const |
| bool | operator!= (const Level &level1) const |
| int | getSyslogEquivalent () const |
| Return the syslog equivalent of this level as an integer. More... | |
| virtual bool | isGreaterOrEqual (const LevelPtr &level) const |
Returns true if this level has a higher or equal level than the level passed as argument, false otherwise. More... | |
| int | toInt () const |
| Returns the integer representation of this level. More... | |
| Public Member Functions inherited from ObjectImpl | |
| ObjectImpl () | |
| virtual | ~ObjectImpl () |
| void | addRef () const |
| void | releaseRef () const |
| Public Member Functions inherited from Object | |
| virtual const helpers::Class & | getClass () const |
| virtual | ~Object () |
| virtual bool | instanceof (const Class &clazz) const =0 |
| virtual const void * | cast (const Class &clazz) const =0 |
Static Public Member Functions | |
| static LevelPtr | toLevel (const std::string &sArg) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (const std::string &sArg, const LevelPtr &defaultLevel) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (const std::wstring &sArg) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (const std::wstring &sArg, const LevelPtr &defaultLevel) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (const std::basic_string< UniChar > &sArg) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (const std::basic_string< UniChar > &sArg, const LevelPtr &defaultLevel) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (const CFStringRef &sArg) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (const CFStringRef &sArg, const LevelPtr &defaultLevel) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevelLS (const LogString &sArg) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevelLS (const LogString &sArg, const LevelPtr &defaultLevel) |
| Convert the string passed as argument to a level. More... | |
| static LevelPtr | toLevel (int val) |
| Convert an integer passed as argument to a level. More... | |
| static LevelPtr | toLevel (int val, const LevelPtr &defaultLevel) |
| Convert an integer passed as argument to a level. More... | |
| static LevelPtr | getAll () |
| static LevelPtr | getFatal () |
| static LevelPtr | getError () |
| static LevelPtr | getWarn () |
| static LevelPtr | getInfo () |
| static LevelPtr | getDebug () |
| static LevelPtr | getTrace () |
| static LevelPtr | getOff () |
| Static Public Member Functions inherited from Object | |
| static const helpers::Class & | getStaticClass () |
| static const log4cxx::helpers::ClassRegistration & | registerClass () |
Additional Inherited Members | |
| Protected Attributes inherited from ObjectImpl | |
| unsigned int volatile | ref |
Defines the minimum set of levels recognized by the system, that is OFF
, FATAL
, ERROR
, WARN
, INFO
, DEBUG
and ALL
.
The Level
class may be subclassed to define a larger level set.
|
virtual |
Two levels are equal if their level fields are equal.
|
static |
|
static |
|
static |
|
static |
|
static |
|
static |
|
inline |
Return the syslog equivalent of this level as an integer.
|
static |
|
static |
|
virtual |
Returns true
if this level has a higher or equal level than the level passed as argument, false
otherwise.
You should think twice before overriding the default implementation of isGreaterOrEqual
method.
|
inline |
|
inline |
|
inline |
Returns the integer representation of this level.
|
static |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns DEBUG.
| sArg | level name. |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns the value of defaultLevel
.
| sArg | level name. |
| defaultLevel | level to return if no match. |
|
static |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns DEBUG.
| sArg | level name. |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns the value of defaultLevel
.
| sArg | level name. |
| defaultLevel | level to return if no match. |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns DEBUG.
| sArg | level name. |
|
static |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns the value of defaultLevel
.
| sArg | level name. |
| defaultLevel | level to return if no match. |
|
static |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns DEBUG.
| sArg | level name. |
|
static |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns the value of defaultLevel
.
| sArg | level name. |
| defaultLevel | level to return if no match. |
|
static |
Convert an integer passed as argument to a level.
If the conversion fails, then this method returns DEBUG.
Convert an integer passed as argument to a level.
If the conversion fails, then this method returns the specified default.
Convert the string passed as argument to a level.
If the conversion fails, then this method returns DEBUG.
| sArg | level name. |
Convert the string passed as argument to a level.
If the conversion fails, then this method returns the value of defaultLevel
.
| sArg | level name. |
| defaultLevel | level to return if no match. |
| void toString | ( | std::string & | name | ) | const |
Get the name of the level in the current encoding.
| name | buffer to which name is appended. |
| void toString | ( | std::wstring & | name | ) | const |
Get the name of the level.
| name | buffer to which name is appended. |
| void toString | ( | std::basic_string< UniChar > & | name | ) | const |
Get the name of the level.
| name | buffer to which name is appended. |
| void toString | ( | CFStringRef & | name | ) | const |
Get the name of the level.
| name | buffer to which name is appended. |
| LogString toString | ( | ) | const |
Returns the string representation of this level.


Boolean
objects.
Constructing new Boolean
objects is rarely necessary,
and may cause performance problems if done often enough. Also, Boolean
constructors are deprecated since Java 9 and could be removed or made
inaccessible in future Java versions.
Example:
Boolean b1 = new Boolean(true);
Boolean b2 = new Boolean(str);
After the quick-fix is applied:
Boolean b1 = Boolean.TRUE;
Boolean b2 = Boolean.valueOf(str);


{# Grab the title and description from the CMS general settings. #}
{% set site_title = getSetting('site_name')%}
{% set site_description = getSetting('site_description')%}
{% block title %}{{ site_title|default('Community At Work') }}{% endblock %}
{# Useful block for loading outside scripts in other pages. #}
{% block head_extra %}{% endblock %}
{% block body %}
{% block header %}


|
|
IFXInternetSessionX Class ReferenceThis class is used to encapsulate Internet session operations.
More...
List of all members.
Detailed Description
This class is used to encapsulate Internet session operations.
Only HTTP and FTP are supported.
Constructor & Destructor Documentation
| IFXInternetSessionX::IFXInternetSessionX |
( |
|
) |
|
|
| IFXInternetSessionX::~IFXInternetSessionX |
( |
|
) |
|
|
Member Function Documentation
| IFXRESULT IFXInternetSessionX::Close |
( |
|
) |
|
|
| IFXRESULT IFXInternetSessionX::GetOptions |
( |
U32 |
option, |
|
|
I8 * |
pBuffer, |
|
|
I32 * |
pBufferLength |
|
) |
|
|
|
|
Gets a socket option.
- Parameters:
-
| option | Socket option for which the value is to be retrieved. |
- Note:
- See getsockopt() function from Socket API.
- Parameters:
-
| pBuffer | Pointer to the buffer in which the value for the requested option is to be returned. |
- Note:
- See getsockopt() function from Socket API.
- Parameters:
-
| pBufferLength | Pointer to the size of the pBuffer buffer, in bytes. |
- Note:
- See getsockopt() function from Socket API.
|
| void IFXInternetSessionX::OpenX |
( |
IFXCHAR * |
pUrl |
) |
|
|
|
|
Opens internet session with file which location defined by URL.
- Parameters:
-
| pUrl | URL to read (null terminated wide-char buffer). |
|
| void IFXInternetSessionX::OpenX |
( |
I8 * |
pUrl |
) |
|
|
|
|
Opens internet session with file which location defined by URL.
- Parameters:
-
| pUrl | URL to read (null terminated char buffer). |
|
| IFXRESULT IFXInternetSessionX::Read |
( |
U8 * |
pBuffer, |
|
|
U32 |
numberOfBytesToRead, |
|
|
U32 * |
pNumberOfBytesRead |
|
) |
|
|
|
|
Reads data from file to buffer.
- Parameters:
-
| pBuffer | Data buffer preallocated by client. |
| numberOfBytesToRead | Number of bytes to read. |
| pNumberOfBytesRead | Pointer to number of bytes actually read. |
- Returns:
- Upon success, IFX_OK is returned. Otherwise, one of the following failures are returned: IFX_E_NOT_INITIALIZED.
|
| IFXRESULT IFXInternetSessionX::SetOptions |
( |
U32 |
option, |
|
|
const I8 * |
pBuffer, |
|
|
I32 |
bufferLength |
|
) |
|
|
|
|
Sets a socket option.
- Parameters:
-
| option | Socket option for which the value is to be set. |
- Note:
- See setsockopt() function from Socket API.
- Parameters:
-
| pBuffer | Pointer to the buffer in which the value for the requested option is specified. |
- Note:
- See setsockopt() function from Socket API.
- Parameters:
-
| bufferLength | Size of the pBuffer buffer, in bytes. |
- Note:
- See setsockopt() function from Socket API.
|
Member Data Documentation
© 1999 - 2006 Intel Corporation. All rights reserved.
* Other names and brands may be claimed as the property of others.
|
|


Now you can refresh this page (hit F5) (or go back) Click me to perform a fast HTTP request Click me to perform a slow (cross-origin) HTTP request Click me to perform the slow HTTP request via the reactive web client Click me to call BOTH slow and fast HTTP requests Force the spinner visibility
{{fastQueryResult | json}}
{{slowQueryResult | json}}
{{errorMessage | json}}


Jupyter notebooks for machine learning.
About
Circe is a project built by Charles Reid for the purpose of demonstrating the application of neural networks to a variety of problems.


First a short-introduction for people who aren’t familiar with Whiskey.
Whiskey is a powerful test runner for Node.js applications. It supports async testing, code coverage, scope leaks reporting, Makefile generation, test timing and lot more. Be sure to check out the github page which lists all the features.
New version (0.6.0) which has been released today includes a process runner and a support for managing external test dependencies. Test dependency is any kind of process on which the (integration) tests depend on.
Examples include, but are not limited to:
- database,
- some kind of api server,
- web server,
- other external services
Process runner is configured using a simple JSON configuration file. Most of the options have sane default values, which means if you don’t have any special requirements you can configure it very quickly.
Example configuration file which we use for our monitoring system integration test suite at Rackspace can be found here.
Each process can also specify its dependencies in the depends
option which allows Whiskey to start unrelated processes concurrently.
Before Whiskey process runner was available we have been using scons for managing and running all the test dependencies. Test dependencies related section in our SConstruct
file was long and hard to maintain which means switching to Whiskey process runner was a nice improvement.
Process runner can be used by passing --dependencies <configuration_file_path.json>
option to whiskey
binary. By default all the dependencies specified in the configuration file are started, but there is also --only-esential-dependencies
option available which will make Whiskey first inspect the test files and only start the processes which are required by the tests which will be ran.
Each test file can specify on which processes it depends by exporting dependencies
attribute. This attribute must be an array and contain the names of the processes as defined in the configuration file.
If you have any questions or suggestions you can find me on #Node.js IRC channel on freenode (nick Kami_
). If you find a bug or a problem you can also open an ticket on the project issue tracker.


The Apache Kibble project is currently comprised of 11 contributors:
The main development and design discussion happens on our mailing lists. We have a list specifically for development, and one for future user questions and feedback.
To join in the discussion on the design and roadmap, you can send an email to<EMAIL_ADDRESS>You can subscribe to the list by sending an email to<EMAIL_ADDRESS>You can also browse the archives online at lists.apache.org.
We also have an IRC channel, #kibble on Freenode
You can also access our HipChat channel at: https://www.hipchat.com/gTS74qZoO
HipChat and IRC are bridged, so whichever channel you speak in, we'll see it :)


// Basic LED Stuff //
15:10 2014-11-18
I got the EMF detector (theremin) slightly working. By that, I mean not working at all because the output is unpredictable.
Some times it works fine, it makes a noise when it's close to a strong EMF source such as a power outlet. But other times it just picks up random signal and I have yet to figure out what it is.
I have consulted local experts. They explained: one of the possibility that causes the randomness is the objects around the theremin may act like a capacity which it will induce a current, therefore creating unwanted inputs. Another hypothesis suggets that the theremin is picking up radio waves (radio, WiFi, or any other similar waves)
How did I make it?
For inputs, I have a "probe", which is a long solid-core insulated copper wire (about 15cm long) attached to analog pin A5. I also have a 10MΩ resistor with one side connected to the probe and the other side connected to GND (ground)
For outputs, I have an LED as well as a speaker wired up to digital pin D11 and GND. In the middle is a 220Ω resistor.
The Arduino takes analog input from the probe and compares it with a set number, this number can be set to change the offset of sensitivity. The comparison then makes the LED and the speaker turn on and off.
21:11 2014-11-18
I started a new project. The Project 02 from the official project book. Because I only have one set of Arduino, it means that I'll have to the theremin apart. But oh well. It wasn't good anyway. Once I have gathered more knowledge about circuitry and Arduino projects in general, perhaps I can build a better one with more predictable results.
At this point in time, I have become more adapted to reading electric / circuit diagrams. Instead of looking and following the pictures in the book, I can just place the components and visualize how it will all flow out in my head. I also learned about buttons and how they should be placed, well, at least for the very basic button included in the kit.
21:13 2014-11-18
Some small inconvenience: I didn't want to use the pre-made jumper wires came in the kit because, I don't know, I feel cheap?
Anyway, what I use for wiring things up is my own bundle of wires, but then I'll have to cut them and strip them. And since I don't own a wire stripper, I have to strip them using scissors which is painfully frustrating.
Until I have more wire supplies, I guess I'll to keep doing these infuriating work.
21:19 2014-11-18
Phew! Just finished Project 02. It didn't take a lot of time, but still fun.
This is only the stuff showed in the book, I have not added or modified anything at the time because I still need to analyse the code to see how it works. But it should not be too hard
I also recorded a video of the project in action along with voice explanation of the circuitry.
I am planning on expanding this project, probably more LEDs. I was thinking somewhere in vicinity of 10 or more LEDs where the project only has 3. This will both let me develop further understanding on Arduino programming as well as circuitry skills. (More electronic components on a fixed size of breadboard means I need to be more compact with my wiring)
int buttonState = LOW; // button input, LOW is off, HIGH is on
int lightDelay = 500; // how long the light will be on before switched
void setup() {
pinMode(2, INPUT); // initializes the digital pins for IO
pinMode(3, OUTPUT);
pinMode(4, OUTPUT);
pinMode(5, OUTPUT);
}
void loop() {
buttonState = digitalRead(2); // get button signal
if (buttonState == LOW) { // if the button is not pressed:
digitalWrite(3, HIGH); // make the LED on pin 3 lit
digitalWrite(4, LOW);
digitalWrite(5, LOW);
} else { // if the button is pressed:
digitalWrite(5, HIGH); // cycle through all the LEDs
digitalWrite(3, LOW);
digitalWrite(4, LOW);
delay(lightDelay); // delay lightDelay
digitalWrite(4, HIGH);
digitalWrite(3, LOW);
digitalWrite(5, LOW);
delay(lightDelay);
}
}
21:29 2014-11-18
So I am learning a lot right now, especially the software side of the Arduino. Just things such as syntax for doing things.
For instance, I learned how to make a constant in Arduino by just appending
const
in front of the variable declaration.
I also learned how to use for loops in Arduino's programming language. It's actually the same as Java, and just as identical as Javascript. This is how you make a for loop:
for (int i = 0; i < 10; i++) {
// execution code here
}
Now that I know for loops, instead of writing out all the code to open up some new pins to output line by line:
pinMode(1, OUTPUT);
pinMode(2, OUTPUT);
pinMode(3, OUTPUT);
pinMode(4, OUTPUT);
pinMode(5, OUTPUT);
pinMode(6, OUTPUT);
pinMode(7, OUTPUT);
pinMode(8, OUTPUT);
pinMode(9, OUTPUT);
pinMode(10, OUTPUT);
This is what I will do from now on:
for (int i = 1; i <= 10; i++) {
pinMode(i, OUTPUT);
}
Saves a lot of time and effort.
21:38 2014-11-18
Did you know Arduino IDE has a console? WHAT!?
That's right, it is called a Serial. And it is used for debugging as well as communicating from Arduino to the user since there is no built in console screen on the Arduino itself.
To initiate the Serial, simply type in
Serial.open(9600);
into the void setup()
function.
And that will open up a serial port between the computer and the Arduino at the communication
speed of 9600 bits per second.
At the time I still have not played too much with the Serial yet but I know that
it is also possible to print out stuff like strings or any other kind of information. And this
is done by using the Serial.print(msg);
function where
msg
is the output.


|
Amazing Mazes | ||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
The MazeAdapter interface provides a neutral and abstract mechnism to access various maze objects ... a gateway so-to-speak. A Mouse object which traverses it's maze via the MazeAdapter interface is insulated from the physical maze object, thereby allowing the same Mouse to traverse any number of mazes :-)
| Method Summary | |
void |
erectWall(java.awt.Point cellLocation,
Direction direction)
This method will erect a wall in self's maze, at the supplied cellLocation, facing the supplied direction. |
java.awt.Point |
getEndingCoord()
This method will return the ending coordinate of self's maze (i.e. |
java.awt.Point |
getStartingCoord()
This method will return the starting coordinate of self's maze (i.e. |
boolean |
passagewayOpenAt(java.awt.Point cellLocation,
Direction direction)
This method will return a true/false indicator as to whether the passageway (within self's maze) at the supplied cellLocation/direction is open or not. |
void |
visualizeAdvance(java.awt.Point cellLocation,
Direction direction)
This method will visualize an advancement move within self's maze at the supplied cellLocation and direction. |
void |
visualizeRetreat(java.awt.Point cellLocation,
Direction direction)
This method will visualize a retreat move within self's maze at the supplied cellLocation and direction. |
| Method Detail |
public java.awt.Point getStartingCoord()
public java.awt.Point getEndingCoord()
public boolean passagewayOpenAt(java.awt.Point cellLocation, Direction direction)
cellLocation
- the maze cell coordinate that is to be checked.direction
- the direction within the cellLocation that is to be checked.public void visualizeAdvance(java.awt.Point cellLocation, Direction direction)
cellLocation
- the maze cell coordinate that is the start of
the advancment.direction
- the direction within the cellLocation that we
are to move.public void visualizeRetreat(java.awt.Point cellLocation, Direction direction)
cellLocation
- the maze cell coordinate that is the start of
the retreat.direction
- the direction within the cellLocation that we
are to move.public void erectWall(java.awt.Point cellLocation, Direction direction)
The context in which this is used is to NOT visualize a physical wall within the maze, but rather to close the wall that has been traversed ... in order to prevent advancment back where we came from.
cellLocation
- the maze cell coordinate where the wall is to
be erected.direction
- the direction within the cellLocation where the
wall is to be erected.
|
Author: Andrew Bridges Copyright © 2001 |
||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% extends 'base.html' %} {% block content %} Choose a different MIDI track from this file
Can't render tabs for this file/track


How the Payment flow works
Merchant side flow
Send a payment link to your customer using
Bsimpel-the merchant mobile app
OR the web-based interface
OR the software APIs
Customer side flow
Customer will receive the link and proceed to pay through Simpel, the mobile app
Settlement
Payments settlement is completed in 2 working days (as per RBI guidelines)


Defines the global behavior and security of VerifiablePresentationManager
An async function that is able to verify the presentation anchor in a public Blockchain
Adds a set of Verifiable Presentations and Evidences to the manager control
if neither skipAddVerify
or notThrow
are true, it throws an acception
once it process one invalid artifact.
Search for a valid claim that matches the criterias.
if allowGetUnverified
is true the search also include claim not verified yet.
the search never includes known invalid claims
return the STRING value of a valid avaliable claim.
if allowGetUnverified
is true it returns unverified values.
if notThrow
is true return null for known invalid claims
Return true if all artifacts are verified, otherwise return false
if neither skipGetVerify
or notThrow
are true, it throws an acception
List managed claim returning in accordance with the config
if allowGetUnverified
is true, claim that were not verified yet will be returned.
but known invalid presentations are never returned
List managed evidences
if allowGetUnverified
is true it return unverified values.
List managed claim of a given Credential type returning in accordance with the config
if allowGetUnverified
is true, claim that were not verified yet will be returned.
but known invalid presentations are never returned
List managed presentations returning in accordance with the config
if allowGetUnverified
is true, presentations that were not verified yet will be returned.
but known invalid presentations are never returned
Get a mapping from key to a claim search criteria and resolve the claim search criterias,
returning a mapping from the same keys to the relative claim value.
if allowGetUnverified
is true, then the search also includes claims not verified yet.
if no claim matches a claim criteria, the value for the relative key will be null.
Remove the invalid artifacts and return a status of the resultant artifacts
Verify all artifacts and return a status of all presentations and evidences
if neither skipAddVerify
or notThrow
are true, it throws an acception
once it process one invalid artifact.
Verify if a presentation was GRANTED for a specific DSR
Verify if the presentation was shared with user consent and signatures
the managed presentation to verify
the original Dynamic Scope Request that receive the presentation as result
Generated using TypeDoc
Abstract all complexity about the Verifiable Credentials handling by providing utility methods to access user verified data in a secure way unless the security behavior is explicit flexed.
By Default the only check not performed is the blockchain anchor check that must be explicit enable by providing a verification plugin that can handle the verification in a async way.


--- layout: post title: Linux on iPod date: 2006-04-21 11:40:00.000000000 +10:00 type: post published: true status: publish categories: [] tags: [] meta: lj_itemid: '11' lj_permalink: http://jus4kix.livejournal.com/3027.html lj_current_location: "@ work" lj_current_music: Zombie author: login: ajaysusarla email<EMAIL_ADDRESS>display_name: partha first_name: '' last_name: '' ---
So i tried installing Linux on the iPod photo i got my hands on. I had seen this http://ipodlinux.org/Main_Page quite sometime ago. And when i did finally get an iPod - the first thing i did was try and install Linnux on it.
It was fun. The kernel first and then the click wheel drivers, and then the encoders. It took me 8 hours straight, all night.
I had a Linux kernel running - and i was flying high on my success, just when the mp3 decoder which i built and installed, screwed something up real bad, and the pod refused to boot. Sigh!! After a couple of days of trying to revive the kernel on the pod, i decided to give up.
I just restored the firmware back using the Mac machine i have right next to me at work, reminiscences of shreyas sitting next to me.
Hmm...


These tables address the topic of public assistance.
The ACS tables beginning with 22 are about public assistance. In the listing below, table names have been simplified in some cases. References to children and grandchildren almost always mean under 18 years old. Income is for the last 12 months, adjusted for inflation to the value of dollars in the last year of the survey period. References to poverty status/level, receipt of food stamps/SNAP, and work status are all for the last 12 months.
See also the Health Insurance topic page, which includes information about public as well as private insurance.
{% list_tables prefix='22' %}


If your business goals are to...
...then Pay Per Click Advertising is right for you!
What Can Pay Per Click Advertising Do For Your Business?
Search Engine Marketing with MAVAJ SUN CO goes way beyond traditional pay per click advertising. We provide lead tracking and e-mails, forms and landing page traffic to your site generated through paid listings


slider
feature
Slider feature for carousel functionality using flickity.
Global dependencies
Dependencies
Installation
Install this package with sackmesser:
make feature-install-slider
or when sackmesser is not used:
yarn install gi-feature-slider
After the installation has completed, you can import the module files:
JS:
// import feature class
import Slider from 'gi-feature-slider'
// ...
base.features.add('slider', Slider)
Make sure you provide the global dependencies in your webpack config file:
new webpack.ProvidePlugin({
base: 'gi-js-base'
})
Styles:
@import 'gi-feature-slider/src/style';
Browser compatibility
- Newest two browser versions of Chrome, Firefox, Safari and Edge
- IE 10 and above
Development
make build
ornpm run build
- Build production version of the feature.make dev
ornpm run dev
- Build demo of the feature, run a watcher and start browser-sync.make test
ornpm run test
- Test the feature.make jsdoc
- Update documentation inside thedocs
folder.make publish
- Publish npm package.


Dashboard
Messaging
Member
Members
Popular Products
Browsers
Weekly Sales
Monthly Sales
Yearly Sales
Message Settings
Turn Messaging
Current Chats
Account Settings
Username
Enabled
Roles
Add Role
Save
Roles
Add Role
© 2016 Footer


Directions
Sugar free with an amazing creamcheese frosting. This cake is far heavier than most other desserts on this list, eating it will definatly help to max out your caloric intake.
- Preheat oven to 350F and line two 8 inch pans with parchment and grease with cooking spray. In a large bowl, whisk together almond flour, cocoa powder, coconut flour, flaxseed meal, baking powder, baking soda, and salt.
- In another large bowl, using a hand mixer, beat butter and (fake) sugar together until light and fluffy. Add eggs, one at at time, then add vanilla. Add dry ingredients and mix until just combined then stir in milk and coffee.
- Divide batter between prepared pans and bake until a toothpick inserted into the middle comes out clean, 28 minutes. Let cool completely.
- Make frosting: In a large bowl, with a hand mixer, beat cream cheese and butter together until smooth. Add (fake) sugar, cocoa powder, coconut flour, and instant coffee and beat until no lumps remain. Add cream and a pinch of salt and beat until combined.
- Place one cake layer on serving platter or cake stand then spread a thick layer of buttercream on top. Repeat with remaining layers then frost sides of cake.
- Keep refrigerated until ready to serve.
- Enjoy
user123
Review Title
This is a review of a really tasty treat.
user321
Review Title
Here we have another review


VIRTUAL OPTION TRADING
SELECT INDEX
SELECT EXPIRY DATE
SELECT STRIKE PRICE
ENTER TRADE
SELECTED INDEX IS :
SELECTED STRIKE PRICE IS:
EXPIRY DATE:
ENTRY PRICE:
POSITION SIZE:
EXIT PRICE:
EXIT TRADE
NSE OPTION CHAIN
NIFTY LIVE CHART
BANKNIFTY LIVE CHART
LOGOUT
PROFIT/LOSS


Links
Slackware
- http://www.slackware.com - Official Slackware site
Search Web UIs
- http://packages.slackware.it - deceased
- http://packages.slackverse.org - Big sister site
- http://slak.homelinux.org/ - very interesting search engine with many unofficial repos
- http://www.slacky.eu - Italian Slackware community including repos
- http://www.slackbuilds.org - SlackBuilds repo
Slackware-GNU/Linux related webs
- http://linuax.wordpress.com/ - ax's blog
- http://www.linuxquestions.org - good place to (not only) ask GNU/Linux related questions and find some answers
IRC
-<EMAIL_ADDRESS>- Official Slackware support channel
-<EMAIL_ADDRESS>- fresh Slackware-related security news and things around slackverse.org
-<EMAIL_ADDRESS>- fresh news from Slackware's ChangeLog
-<EMAIL_ADDRESS>- Unofficial Slackware support channel


{% extends 'base1final1a.html' %} {% block content %}
Added By: Cara
Read Time: 15+ Hours
Added on: 11 June 2020
Rating: 5 Stars
Description: Humanity has colonised the solar system - Mars, the Moon, the Asteroid Belt and beyond - but the stars are still out of our reach. Jim Holden is an officer on an ice miner making runs from the rings of Saturn to the mining stations of the Belt. When he and his crew discover a derelict ship called the Scopuli, they suddenly find themselves in possession of a deadly secret. A secret that someone is willing to kill for, and on an unimaginable scale. War is coming to the system, unless Jim can find


Deaths
EDMOND
Davis, Willie “Dub” Jr.: 79, died Nov. 23. Services 10 a.m. Wednesday (Matthews, Edmond).
Wilson, Floyd: 86, died Nov. 22. Services 2 p.m. Tuesday (Matthews, Edmond).
ELK CITY
Potter, Bryan H. Ph.D.: 84, pharmacist, died Nov. 22. Services 10 a.m. Tuesday, First Baptist Church (Martin-Dugger, Elk City).
NEWCASTLE
Crosby, Mary Jane: 67, retired teacher, died Nov. 23. Memorial services 11 a.m. Tuesday, Newcastle First Baptist Church (Wilson Little, Newcastle).
OKLAHOMA CITY
Abrams, Ursula: 83, retail manager, died Nov. 22. Services 10 a.m. Tuesday, St. James the Greater Catholic Church (Sunny Lane, Del City).
Tucker, Darrell Lee: 84, supervisor, died Nov. 22. Services 10 a.m. Tuesday, St. Mary’s Ukrainian Orthodox Church, Jones (Asa Smith, Harrah).


Chapter 2 dove a little deeper into actual computer programming. The chapter started out introducing built-in functions, like alert and document.write. We were introduced to the different datatypes, how to create and use variables, and which keywords to avoid while naming our variables.
The chapter also showed us how to work with datatypes and variables using basic arithmetic. The importance of the order of operations, how to concactenate numbers and strings, and how to change the values in a variable.
Arrays were also discussed in this chapter. How to add an item to the end or beginning of an array. Deleting and locating items within an array. It also touched on objects and the importance of proper commenting.
This script asks a user to input a temperature in Fahrenheit and converts it to Celsius
See a conversion exampleThis is a prompt script. It asks the user 3 questions then outputs the answers.
See a promt example


Most scary things can be accomplished within 20 seconds. Luckily, bravery is easy in 20 second increments.
So, psych yourself up, and get ready to push send on that text message, to ask that person out, to email your boss, to submit that application, and push the button. It only takes 20 seconds.


Base response object
| url | (character) A url, required |
|---|---|
| opts | (list) curl options |
| handle | A handle |
| method | (character) HTTP method |
| status_code | (integer) status code |
| request_headers | (list) request headers, named list |
| response_headers | (list) response headers, named list |
| modified | (character) modified date |
| times | (vector) named vector |
| content | (raw) raw binary content response |
| request | request object, with all details |
Methods
parse()
Parse the raw response content to text
success()
Was status code less than or equal to 201. returns boolean
status_http()
Get HTTP status code, message, and explanation
raise_for_status()
Check HTTP status and stop with appropriate
HTTP error code and message if >= 300.
- If you have fauxpas
installed we use that,
otherwise use httpcode
x <- HttpResponse$new(method = "get", url = "https://httpbin.org") x$url#> [1] "https://httpbin.org"x$method#> [1] "get"x <- HttpClient$new(url = 'https://httpbin.org') (res <- x$get('get'))#> <crul response> #> url: https://httpbin.org/get #> request_headers: #> User-Agent: libcurl/7.51.0 r-curl/2.6 crul/<IP_ADDRESS>10 #> Accept-Encoding: gzip, deflate #> response_headers: #> status: HTTP/1.1 200 OK #> connection: keep-alive #> server: meinheld/0.6.1 #> date: Mon, 15 May 2017 18:12:01 GMT #> content-type: application/json #> access-control-allow-origin: * #> access-control-allow-credentials: true #> x-powered-by: Flask #> x-processed-time: 0.00114893913269 #> content-length: 287 #> via: 1.1 vegur #> status: 200res$request_headers#> $`User-Agent` #> [1] "libcurl/7.51.0 r-curl/2.6 crul/<IP_ADDRESS>10" #> #> $`Accept-Encoding` #> [1] "gzip, deflate" #>res$response_headers#> $status #> [1] "HTTP/1.1 200 OK" #> #> $connection #> [1] "keep-alive" #> #> $server #> [1] "meinheld/0.6.1" #> #> $date #> [1] "Mon, 15 May 2017 18:12:01 GMT" #> #> $`content-type` #> [1] "application/json" #> #> $`access-control-allow-origin` #> [1] "*" #> #> $`access-control-allow-credentials` #> [1] "true" #> #> $`x-powered-by` #> [1] "Flask" #> #> $`x-processed-time` #> [1] "0.00114893913269" #> #> $`content-length` #> [1] "287" #> #> $via #> [1] "1.1 vegur" #>res$parse()#>#> [1] "{\n \"args\": {}, \n \"headers\": {\n \"Accept\": \"*/*\", \n \"Accept-Encoding\": \"gzip, deflate\", \n \"Connection\": \"close\", \n \"Host\": \"httpbin.org\", \n \"User-Agent\": \"libcurl/7.51.0 r-curl/2.6 crul/<IP_ADDRESS>10\"\n }, \n \"origin\": \"<IP_ADDRESS>\", \n \"url\": \"https://httpbin.org/get\"\n}\n"res$status_code#> [1] 200res$status_http()#> <Status code: 200> #> Message: OK #> Explanation: Request fulfilled, document followsres$status_http()$status_code#> [1] "200"res$status_http()$message#> [1] "OK"res$status_http()$explanation#> [1] "Request fulfilled, document follows"res$success()#> [1] TRUEx <- HttpClient$new(url = 'https://httpbin.org/status/404') (res <- x$get())#> <crul response> #> url: https://httpbin.org/status/404 #> request_headers: #> User-Agent: libcurl/7.51.0 r-curl/2.6 crul/<IP_ADDRESS>10 #> Accept-Encoding: gzip, deflate #> response_headers: #> status: HTTP/1.1 404 NOT FOUND #> connection: keep-alive #> server: meinheld/0.6.1 #> date: Mon, 15 May 2017 18:12:01 GMT #> content-type: text/html; charset=utf-8 #> access-control-allow-origin: * #> access-control-allow-credentials: true #> x-powered-by: Flask #> x-processed-time: 0.000746965408325 #> content-length: 0 #> via: 1.1 vegur #> status: 404## Not run: res$raise_for_status() x <- HttpClient$new(url = 'https://httpbin.org/status/414') (res <- x$get())#> <crul response> #> url: https://httpbin.org/status/414 #> request_headers: #> User-Agent: libcurl/7.51.0 r-curl/2.6 crul/<IP_ADDRESS>10 #> Accept-Encoding: gzip, deflate #> response_headers: #> status: HTTP/1.1 414 REQUEST URI TOO LONG #> connection: keep-alive #> server: meinheld/0.6.1 #> date: Mon, 15 May 2017 18:12:01 GMT #> content-type: text/html; charset=utf-8 #> access-control-allow-origin: * #> access-control-allow-credentials: true #> x-powered-by: Flask #> x-processed-time: 0.000998020172119 #> content-length: 0 #> via: 1.1 vegur #> status: 414## Not run: res$raise_for_status()


Thanks for your order #2AB700GH
1 Microsoft Way, Redmond, WA - 98052
Hello Wor1d
Hell0 World
Halifax
Montréal


java.util.concurrent.locks.Condition.await()
not made inside a loop.
await()
and related methods are normally used to suspend a thread until some condition is true.
Because the thread could have been waken up for a different reason,
the condition should be checked after the await()
call returns.
A loop is a simple way to achieve this.
Example:
void acquire(Condition released) throws InterruptedException {
released.await();
}
Good code should look like this:
void acquire(Condition released) throws InterruptedException {
while (acquired) {
released.await();
}
}


HUSH
Release Date: March 6, 1998 Starring: Gwyneth Paltrow, Johnathon Schaech, Jessica Lange, Nina Foch, Hal Holbrook Directed by: Jonathan Darby Distributed by: Sony Pictures Entertainment / TriStar Pictures MPAA Rating: PG-13 (some violence, sensuality, brief strong language) URL: http://www.execpc.com/~kinnopio/reviews/1998/hush.htm
On an otherwise crowded movie weekend, with three other releases that are surely more promising, HUSH has to hope for viewer curiosity to make good on its terribly awry premise. Those who wander into this one will do so certainly to see either the beautiful people - Gwyneth Paltrow (GREAT EXPECTATIONS) for the guys and Johnathon Schaech (THAT THING YOU DO!) for the girls - or to see the psychotic Jessica Lange (A THOUSAND ACRES). But after word of mouth filters back to the rest of the American public, the masses will learn that HUSH is nothing but a good idea that never gets going.
Schaech and Paltrow play Jackson and Helen, a couple hopelessly in love (the two display appropriate amounts of chemistry, but this doesn't work out too well later on). Within the first thirty minutes of the movie, Jackson has taken Helen home to meet Mom (Lange), gotten her pregnant, and proposed marriage to her. Upon her acceptance of his proposal, he takes her back home to Mom to have the wedding at her place. However, things don't go exactly as planned because Mom isn't your garden-variety mother-in-law and her feelings toward Helen are less than accommodating. The movie builds on the tensions between Mom and Helen, which takes Helen through a series of increasingly dangerous encounters that climax in a painful in-home birth of her baby followed up by Mom's malevolent intents with a syringe full of morphine.
This plot, which is both familiar ground and originality (with the new cast), works only if viewers assumes certain things. First, the audience has to assume that Lange, as the mother-in-law Martha, wants to kill Helen only because she's possessive of her son. Second, the audience has to assume that Jackson is dumb enough to be on his mother's side for the entire movie and suddenly jump to Helen's defense after she spews about fifteen seconds worth of hopeful arguments. Third, the audience has to assume that only reason Helen and Jackson repeatedly return to Mom's home is the fact that spending weeks of quality time on a back country, multi-acre horse farm is an enticing ordeal. Fourth, and perhaps most inconsequential, the audience has to assume that Gwyneth Paltrow can drive a Ford Explorer over a bumpy horse pasture at blazing speeds when she's at least eight months pregnant.
Most of the characters have little or no audience likeability.  Paltrow is likeable as Helen, but that's only because she's the victim of society in a cast that's filled with badly characterized roles. But the most likeable is Nina Foch as Alice, Jackson's paternal grandmother. She's the only one who openly insults the cunning Martha, and when she befriends Helen, she can do no wrong. Unfortunately, one or two good performances can't salvage a movie that's already headed in the wrong direction. The entire thriller premise takes way too long to develop and the movie ends before it goes anywhere. Wait until HUSH hits the budget theaters.
FINAL AWARD FOR "HUSH": 2.0 stars - a fair movie. -- Craig Roush<EMAIL_ADDRESS>-- Kinnopio's Movie Reviews http://www.execpc.com/~kinnopio/
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


Overview¶ ↑
Thanks for taking an interest in this open source project. Your support and involvement is greatly appreciated. The following details what you need to know in order to contribute.
Requirements¶ ↑
-
Follow these Basic Programming Styles.
-
Follow these Code Review Styles.
-
Follow these Git Styles.
-
Follow these Bash Styles.
-
Follow these CSS Styles.
-
Follow these Ruby Styles.
Contributing Code¶ ↑
-
Read the project README thoroughly before starting.
-
Fork the master branch of the repository.
-
Ensure there are no setup, usage, and/or test issues (again, follow the README).
-
Add tests for new functionality (refactoring and documentation changes can be excluded).
-
Ensure all tests pass.
-
Push your feature branch and submit a pull request.
Submitting Issues¶ ↑
-
Submit an issue via the GitHub Issues tab (assuming one does not already exist).
-
Clearly describe the issue (including steps to reproduce).
-
Specify your enviroment setup (OS, browser, language, etc. with version info).
-
Provide a stack dump (if possible).
-
Explain any additional details that might help diagnose the problem quickly.
Feedback¶ ↑
Expect a response with one to three business days (normally responses are faster than mentioned). Changes, alternatives, and/or improvements might be suggested upon review.


FAQ
- What do you guys actually do ?
- We are app and platform developers that are able to execute at a fraction of the time as our competitors.
- How can blubeta help established companies?
- In some cases we have reduced infrastructure costs by 50%. By understanding your business operations and technical debt, we can aid companies of any size in reducing their technical footprint
- How do you guys reduce scope creep?
- Scope creep is refers to uncontrolled changes or continuous project growth and iteration during the course of a milestone. This is arguably the number one complaint from businesses that leverage technical projects.
- Do you offer any other services outside of Tech?
- blubeta focuses on development and management. We believe that fostering strong relationships with those who are best in their craft is essential to the success of your next business venture. This is why we partner up with our [link: affiliates]
- How does blubeta work with third-party vendors ?
- We have experience working with external and outsourced third party vendors. When we onboard
- Where do you guys find the talent in such a rough Miami market ?
- As part of our community efforts to grow Miami as a technical hub for talent we started the community of Wynwood Tech (https://wyn.tech). It is from this homegrown community that we have established relationships with the best Miami has to offer.


A class for executing a process and reading and writing its standard output, input and error.
This process test example shows how to start a process using the Process class and read its standard output and error.
| public | Process(const String<char>& command, Redirections redirections_) |
| public | ~Process() |
| public bool | Eof(StdHandle handle) |
| public int | ExitCode() |
| public String<char> | ReadLine(StdHandle handle) |
| public String<char> | ReadToEnd(StdHandle handle) |
| public bool | Running() |
| public void | Terminate() |
| public void | WaitForExit() |
| public void | WriteLine(const String<char>& line) |
| public enum | Redirections |
| public enum | StdHandle |
| private void* | nativeProcess |
| private Redirections | redirections |


When set to true, the command will collect the output of [[this.colors]] and [[this.log]] in memory, instead of printing them to the console.
An array of collected logs
Parsed options on the command. They only exist when the command is executed via kernel
The prompt for the command
Command arguments
Command name
The description of the command displayed on the help screen. Please do not create commands without description
Command flags
Log awaiting message
Log a completion message
Log error message. It will go to stderr
.
Log info success message
Log message to stdout using console.log
. If [[this.rawMode]]
is set to true
, then it will collect logs in memory vs spitting
them to stdout.
You can access in-memory logs by accessing [[this.logs]] property.
Similar to [[this.log]] but instead logs to stderr
Log some note
Log a success message
Log warning message
Must be defined by the parent class
Generated using TypeDoc
Abstract base class other classes must extend


This is a 5 tier cloud-native application running on Kubernetes!
Made with love at RMLAB updated by 3Pings


EXCLUSIVE: Vlad Asks Grant Cardone what His Net Worth Is
by VladTVIn this clip, Grant Cardone and Vlad try to tack down a definition for net worth and what exactly is used to calculate that number. Grant then went on to explain how difficult it is to determine it when considering invaluable elements such as branding.


Minium System Requirement
CPU: Quad Core i3
Memory: 4GB
Graphic Card: GTX770
Space: 30GB
OS: Windows 7
CPU: Snapdragon 400 series
Memory: 3GB
Space: 2.4GB
OS: iOS / Android


+ add file
place .vy file here
search:
Settings
RPC Server
The Ethereum network to connect to.
Compiler URL
The endpoint where vyper files get sent to, to be compiled.
save
clear datastore
(only vyper files)
reload file
Toggle Dropdown
remove file
interact with contract at
remove
copy
remove
copy
edit
constructor
deploy
events
functions
call


Here are all of the docker subcommands. Test your knowledge against the official dockermentation by hovering/tapping on the blacked out lower half of each card.
You made it!


The Web
W3C
W3C stands for the World Wide Web Consortium. This is an international group which develops the standards for the web. It is led by the inventor of the web Tim Berners-Lee, and their goal is to help fully capitalize on the benefits of the web for all.
W3C is a crucial part to the web infrastructure. They are responsible for setting forth the rules and protocols that will ensure the growth of the web and make it more accessible for all!
An example of some of the work that W3C does includes the Open Standards Principles. This is a model that empowers individuals to develop new technologies and innovate further.
Learn more about W3CHTML
HTML stands for Hypertext Markup Language. This is the standard markup language for web pages and can be paired with CSS and javascript for more visually enhanced web pages.
HTML is a powerful language which enables us to build out webpages. It was developed by the founder of the web and has many unique features which enable us to build out complicated web pages.
In the image to the right you can see some script written in html.
Read more about HTMLCSS
CSS stands for cascading style sheets. It is a essentially just a way to spice up your webpages and add style to it. It is designed to improve accessibility, presentation characteristics, and reduce redundancy. It was developed by W3C nearly 25 years ago!
CSS allows you to fully customize the presentation of your webpage- from colors, to spacing, to fonts, and much more! It is often misunderstood that CSS is paired to be used only with HTML, but in fact it can be used with any XML based markup language!
To the right you can see an example of how css code is to be formatted.
Read more about CSS


--- layout: default title: Welcome ---
{% assign meetup = site.posts.first %} {% if meetup.placeholder == false %}Next Meetup
Our monthly meetup
We discuss upcoming conferences, the newest libraries, app ideas, dribbble favorites, etc. But we also just enjoy each other's company and are just as likely to be discussing the quality of the snow in the Alps, climbing techniques and the best Burgers in Munich.
| + | + | + | = | |||||
| Designers and developers | Dinner | Beer | Discussions | Moving forward |
Follow us on Twitter to find out about the next meetup.
Past Meetups
Stammtisch
Park Cafe
Stammtisch
Augustiner Biergarten
Stammtisch
Gaststätte Scheidegger
Discussion
Taco Libre
Stammtisch
Killians Irish Pub
Stammtisch
Cafe Puck


Metric¶
cotk.metric
provides commonly used metrics for cotk.dataloader
.
All metric objects receive a batch of data per one call of forward
.
The batch of data is represented by a dict which contains models’ outputs and
answers. The answers are highly relevant to the corresponding
dataloader, where the type, shape are usually identical with the return value of
get_batch
in dataloader, as long as the correct key name is set.
forward
function can be called several times and at last
close
can be called for results.
Here is an example:
>>> dm = OpenSubtitles()
>>> metric = BleuCorpusMetric(gen_key="gen",\
... reference_allvocabs_key="resp_allvocabs_key")
... # "resp_allvocabs_key" is a key name in get_batch()
>>> for data in dm.get_batches("test", batch_size=32):
... data["gen"] = predict(data["post"])
... assert "resp_allvocabs_key" in data
... metric.forward(data)
>>> print(metric.close())
{"bleu": 0.135, "bleu hashvalue": b"XXXX"}
We also provide default metrics in dataloader, you can use “get_metric”-like
functions (example: SingleTurnDialog.get_inference_metric()
) to get
default metrics and avoid the mess with complex key name.
Here is an exmample:
>>> dm = OpenSubtitles()
>>> metric = dm.get_inference_metric(gen_key="gen")
>>> for data in dm.get_batches("test", batch_size=32):
... data["gen"] = predict(data["post"])
... metric.forward(data)
>>> print(metric.close())
{"bleu": 0.135, "bleu hashvalue": b"XXXX", ...}
Hash Value¶
MetricBase.close()
will return a dict containing hash value,
which can validate whether two models used the same test data and the
same setting. Only two models using the same metric with the same hash
value returned, can compare with each other.
Basic Classes¶
-
class
cotk.metric.
MetricBase
(name, version)[source]¶ Base class for metrics.
-
_hash_relevant_data
(data_list)[source]¶ Invoked by
forward()
orclose()
to hash relevant data when computing a metric.Parameters: data_list (list) – relevant data organized as list.
-
Metric class¶
-
class
cotk.metric.
BleuPrecisionRecallMetric
(**kwargs)[source]¶ Metric for calculating sentence BLEU precision and recall.
References
[1] Zhao, T., Zhao, R., & Eskenazi, M. (2017). Learning discourse-level diversity for neural dialog models using conditional variational autoencoders. arXiv preprint arXiv:1703.10960.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - generated_num_per_context (int) – The number of sentences generated per context.
- candidate_allvocabs_key (str) – The key of reference sentences. Default:
candidate_allvocabs
. - multiple_gen_key (str) – The key of multiple generated sentences. Default:
multiple_gen
. - ngram (int) – Specifies using BLEU-ngram.
-
_score
(gen, reference)[source]¶ Score function of BLEU-ngram precision and recall.
Parameters: - gen (list) – list of generated word ids.
- reference (list) – list of word ids of a reference.
Returns: int – score in [0, 1].
- Here is an Example:
>>> gen = [4,5] >>> reference = [5,6] >>> self._score(gen, reference) 0.150 # assume self.weights = [0.25,0.25,0.25,0.25]
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
-
forward
(data)¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[candidate_allvocabs_key] (list or
numpy.ndarray
): A 3-d jagged list of index. Multiple reference sentences for a single context. Does not contain start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~sentence_num, ~word_num]
, where “~” means different sizes in this dimension is allowed. - data[multiple_gen_key] (list or
numpy.ndarray
): A 3-d jagged or padded array. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, generated_num_per_context, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... candidate_allvocabs_key: [[[4], [5,6]], [[4,5,6]]] ... multiple_gen_key: [[[5,6,3]], [[4,5,7,3], [8,3]]] ... }
- data[candidate_allvocabs_key] (list or
- dataloader (
-
class
cotk.metric.
EmbSimilarityPrecisionRecallMetric
(**kwargs)[source]¶ Metric for calculating cosine similarity precision and recall.
References
[1] Zhao, T., Zhao, R., & Eskenazi, M. (2017). Learning discourse-level diversity for neural dialog models using conditional variational autoencoders. arXiv preprint arXiv:1703.10960.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - generated_num_per_context (int) – The number of sentences generated per context.
- candidate_allvocabs_key (str) – The key of reference sentences. Default:
candidate_allvocabs
. - multiple_gen_key (str) – The key of multiple generated sentences. Default:
multiple_gen
. - word2vec (dict) – Maps a word (str) to its pretrained embedding (
numpy.ndarray
or list) - mode (str) – Specifies the operation that computes the bag-of-word representation.
Must be
avg
orextrema
:avg
: element-wise average word embeddings.extrema
: element-wise maximum word embeddings.
-
_score
(gen, reference)[source]¶ Score function of cosine similarity precision and recall.
Parameters: - gen (list) – list of generated word ids.
- reference (list) – list of word ids of a reference.
Returns: int – cosine similarity between two sentence embeddings in [0, 1].
- Here is an Example:
>>> gen = [4,5] >>> reference = [5,6] >>> self._score(gen, reference) 0.135 # assume self.mode = 'avg'
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
-
forward
(data)¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[candidate_allvocabs_key] (list or
numpy.ndarray
): A 3-d jagged list of index. Multiple reference sentences for a single context. Does not contain start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~sentence_num, ~word_num]
, where “~” means different sizes in this dimension is allowed. - data[multiple_gen_key] (list or
numpy.ndarray
): A 3-d jagged or padded array. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, generated_num_per_context, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... candidate_allvocabs_key: [[[4], [5,6]], [[4,5,6]]] ... multiple_gen_key: [[[5,6,3]], [[4,5,7,3], [8,3]]] ... }
- data[candidate_allvocabs_key] (list or
- dataloader (
-
class
cotk.metric.
PerplexityMetric
(**kwargs)[source]¶ Metric for calculating perplexity.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - reference_allvocabs_key (str) – The key of reference sentences. Default:
ref_allvocabs
. - reference_len_key (str) – The key of lengths of reference sentences.
Default:
ref_length
. - gen_log_prob_key (str) – The key of log probability over words.
Default:
gen_log_prob
. - invalid_vocab (bool) – Whether
gen_log_prob
contains invalid vocab. Default:False
. - full_check (bool) – Whether perform a full check on
gen_log_prob
to make sure the sum of probability is 1. Otherwise, a random check will be performed for efficiency. If pytorch is used, a full check is always performed and this argument will be ignored. Default:False
.
-
forward
(data)[source]¶ Processing a batch of data. Smoothing will be performed for invalid vocabs. Unknowns vocabs will be ignored.
Parameters: data (dict) – A dict at least contains the following keys:
- data[reference_allvocabs_key] (list or
numpy.ndarray
ortorch.Tensor
): A 2-d jagged or padded array of int. Reference sentences with allvocabs in index form. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~ref_sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[reference_len_key] (list or
numpy.ndarray
): Length of reference sentences. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size]
. - data[gen_log_prob_key] (list or
numpy.ndarray
ortorch.Tensor
): The log softmax probability of the sentence generations model outputs. A 3-d jagged or padded array of float. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~gen_sentence_length, vocab_size]
forinvalid_vocab = False
, or[batch_size, ~gen_sentence_length, all_vocab_size]
forinvalid_vocab = True
, where “~” means different sizes in this dimension is allowed. Iftorch.Tensor
is used, the following data should also betorch.Tensor
.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... reference_allvocabs_key: [[2,4,3], [2,5,6,3]] ... reference_len_key: [3,4] ... gen_log_prob_key: [[[-3.80666249, -3.11351531, -2.7080502 , -2.42036813, -2.19722458, -2.01490302, -1.86075234, -1.72722095, -1.60943791],...],...] ... }
Warning
data[gen_log_prob_key]
must be processed after log_softmax. That means,np.sum(np.exp(gen_log_prob), -1)
equalsnp.ones((batch_size, gen_sentence_length))
- data[reference_allvocabs_key] (list or
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
- dataloader (
-
class
cotk.metric.
MultiTurnPerplexityMetric
(**kwargs)[source]¶ Metric for calculating multi-turn perplexity.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - multi_turn_reference_allvocabs_key (str) – The key of reference sentences. Default:
multi_turn_ref_allvocabs
. - multi_turn_reference_len_key (str) – The key of lengths of reference sentences.
Default:
multi_turn_ref_length
. - gen_log_prob_key (str) – The key of log probability over words.
Default:
multi_turn_gen_log_prob
. - invalid_vocab (bool) – whether
gen_log_prob
contains invalid vocab. Default:False
. - full_check (bool) – whether perform full checks on
gen_log_prob
to make sure the sum of probability is 1. Otherwise, a random check will be performed for efficiency. Default:False
.
-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[multi_turn_reference_allvocabs_key] (list or
numpy.ndarray
ortorch.Tensor
): A 3-d jagged or padded array of int. Multi-turn reference sentences with all vocabs. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~turn_length, ~sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[multi_turn_reference_len_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. If padded, redundant position must be set to0
. Length of multi-turn reference sentences. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~turn_length]
, where “~” means different sizes in this dimension is allowed. - data[multi_turn_gen_log_prob_key] (list or
numpy.ndarray
ortorch.Tensor
): The log softmax probability of the sentence generations model outputs. A 4-d jagged or padded array. log softmax probability. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~gen_sentence_length, vocab_size]
forinvalid_vocab = False
, or[batch_size, ~gen_sentence_length, all_vocab_size]` for ``invalid_vocab = True
, where “~” means different sizes in this dimension is allowed. Iftorch.Tensor
is used, the following data should also betorch.Tensor
.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... multi_turn_reference_allvocabs_key: [[[2,4,3], [2,5,6,3]], [[2,7,6,8,3]]] ... multi_turn_reference_len_key: [[3, 4], [5]] ... multi_turn_gen_log_prob_key: [[[[-3.80666249, -3.11351531, -2.7080502, -2.42036813, -2.19722458, -2.01490302, -1.86075234, -1.72722095, -1.60943791], ...], ...], ...] ... }
Warning
data[multi_turn_gen_log_prob_key]
must be processed after log_softmax. That means,np.sum(np.exp(multi_turn_gen_log_prob_key), -1)
equalsnp.ones((batch_size, ~gen_sentence_length))
- data[multi_turn_reference_allvocabs_key] (list or
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
- dataloader (
-
class
cotk.metric.
BleuCorpusMetric
(**kwargs)[source]¶ Metric for calculating BLEU.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - reference_allvocabs_key (str) – The key of reference sentences. Default:
ref_allvocabs
. - gen_key (str) – The key of generated sentences. Default:
gen
.
-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[reference_allvocabs_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Reference sentences with allvocabs in index form. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~ref_sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[gen_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... reference_allvocabs_key: [[2,4,3], [2,5,6,3]] ... gen_key: [[4,5,3], [6,7,8,3]] ... }
- data[reference_allvocabs_key] (list or
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
- dataloader (
-
class
cotk.metric.
SelfBleuCorpusMetric
(**kwargs)[source]¶ Metric for calculating Self-BLEU.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - gen_key (str) – The key of generated sentences. Default:
gen
. - sample (int) – Number of examples sampled from the generated sentences. Default:
1000
. - seed (int) – Random seed for sampling. Default:
1229
. - cpu_count (int) – Number of used cpu for multiprocessing. Multiprocessing will NOT be used
when
cpu_count
is set to1
or the dataset is small. Default: ifNone
, the environment variableCPU_COUNT
will be used when it is set, or all available cpu will be used otherwise.
Warning
- the calculation of
hashvalue
considers the actual sample size of hypotheses which - will be less than
sample
if the size of hypotheses is smaller thansample
-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[gen_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... gen_key: [[4,5,3], [6,7,8,3]] ... }
- data[gen_key] (list or
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
- dataloader (
-
class
cotk.metric.
FwBwBleuCorpusMetric
(**kwargs)[source]¶ Metric for calculating FwBw-BLEU.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - reference_test_list (list) – Reference sentences with all vocabs in test data.
- gen_key (str) – The key of generated sentences. Default:
gen
. - sample (int) – Number of examples sampled from the generated sentences. Default:
1000
. - seed (int) – random seed for sampling. Default:
1229
. - cpu_count (int) – Number of used cpu for multiprocessing. Multiprocessing will NOT be used
when
cpu_count
is set to1
or the dataset is small. Default: ifNone
, the environment variableCPU_COUNT
will be used when it is set, or all available cpu will be used otherwise.
Warning
The calculation of
hashvalue
considers the actual sample size of hypotheses and references. Thereforehashvalue
may vary with the size of hypothesis or references if the size of them is smaller thansample
.-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[gen_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... gen_key: [[4,5,3], [6,7,8,3]] ... }
- data[gen_key] (list or
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
- dataloader (
-
class
cotk.metric.
MultiTurnBleuCorpusMetric
(**kwargs)[source]¶ Metric for calculating multi-turn BLEU.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - multi_turn_reference_allvocabs_key (str) – The key of reference sentences. Default:
multi_turn_ref_allvocabs
. - multi_turn_gen_key (str) – The key of generated sentences. Default:
multi_turn_gen
. - turn_length (str) – The key of length of turns. Default:
turn_length
.
-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[multi_turn_reference_allvocabs_key] (list or
numpy.ndarray
): A 3-d jagged or padded array of int. Multi-turn reference sentences with all vocabs. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~turn_length, ~sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[gen_key] (list or
numpy.ndarray
): A 3-d jagged or padded array of int. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~max_turn_length, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[turn_len_key] (list or
numpy.ndarray
): Length of turns in each sample. Size:[batch_size]
.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... multi_turn_reference_allvocabs_key: [[[2,4,3], [2,5,6,3]], [[2,7,6,8,3]]] ... turn_len_key: [2, 1] ... gen_key: [[[6,7,8,3], [4,5,3]], [[7,3]]] ... }
- data[multi_turn_reference_allvocabs_key] (list or
-
close
(**kwargs)¶ Close the metric and return results. Once the metric is closed, any operation on the metric (e.g. forward or another close) will raise a ValueError.
Returns: (dict) which contains results.
- dataloader (
Metric-like class¶
-
class
cotk.metric.
SingleTurnDialogRecorder
(dataloader, post_allvocabs_key='post_allvocabs', resp_allvocabs_key='resp_allvocabs', gen_key='gen')[source]¶ A metric-like class for recording generated sentences and references.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - post_allvocabs_key (str) – The key of dialog posts with allvocabs.
Default:
post_allvocabs
. - resp_allvocabs_key (str) – The key of dialog responses with allvocabs.
Default:
resp_allvocabs
. - gen_key (str) – The key of generated sentences. Default:
gen
.
-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[post_allvocabs_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Reference sentences with allvocabs in index form. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~ref_sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[resp_allvocabs_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Reference sentences with allvocabs in index form. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~ref_sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[gen_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... post_allvocabs_key: [[2,4,3], [2,5,6,3]] ... resp_allvocabs_key: [[2,5,4,3], [2,6,3]] ... gen_key: [[6,7,8,3], [4,5,3]] ... }
- data[post_allvocabs_key] (list or
-
close
()[source]¶ Returns: (dict) – Return a dict which contains - post: a list of post sentences. A jagged 2-d array of int.
Size:
[batch_size, ~sent_length]
, where “~” means different sizes in this dimension is allowed. - resp: a list of response sentences. A jagged 2-d array of int.
Size:
[batch_size, ~sent_length]
, where “~” means different sizes in this dimension is allowed. - gen: A list of generated sentences. A jagged 2-d array of int.
Size:
[batch_size, ~sent_length]
, where “~” means different sizes in this dimension is allowed.
- post: a list of post sentences. A jagged 2-d array of int.
Size:
- dataloader (
-
class
cotk.metric.
MultiTurnDialogRecorder
(dataloader, multi_turn_reference_allvocabs_key='multi_turn_ref_allvocabs', multi_turn_gen_key='multi_turn_gen', turn_len_key='turn_length')[source]¶ A metric-like class for recording generated sentences and references.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - multi_turn_reference_allvocabs_key (str) – The key of dialog references with
allvocabs. Default:
multi_turn_ref_allvocabs
. - multi_turn_gen_key (str) – The key of generated sentences. Default:
multi_turn_gen
. - turn_length (str) – The key of length of turns. Default:
turn_length
.
-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[multi_turn_reference_allvocabs_key] (list or
numpy.ndarray
): A 3-d jagged or padded array of int. Multi-turn reference sentences with all vocabs. Contains start token (eg:<go>
) and end token (eg:<eos>
). Size:[batch_size, ~turn_length, ~sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[gen_key] (list or
numpy.ndarray
): A 3-d jagged or padded array of int. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~max_turn_length, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed. - data[turn_len_key] (list or
numpy.ndarray
): Length of turns in each sample. Size:[batch_size]
.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... multi_turn_context_allvocabs_key: [[[2,4,3], [2,5,6,3]], [[2,7,6,8,3]]] ... multi_turn_reference_allvocabs_key: [[[2,6,7,3], [2,5,3]], [[2,7,6,8,3]]] ... multi_turn_gen_key: [[[6,7,8,3], [4,5,3]], [[7,3]]] ... turn_len_key: [2,1] ... }
- data[multi_turn_reference_allvocabs_key] (list or
-
close
()[source]¶ Returns: (dict) – Return a dict which contains - reference: a list of response sentences. A jagged 3-d array of int.
Size:
[batch_size, ~turn_length, ~sent_length]
, where “~” means different sizes in this dimension is allowed. - gen: a list of generated sentences. A jagged 3-d array of int.
Size:
[batch_size, ~turn_length, ~sent_length]
, where “~” means different sizes in this dimension is allowed.
- reference: a list of response sentences. A jagged 3-d array of int.
Size:
- dataloader (
-
class
cotk.metric.
LanguageGenerationRecorder
(dataloader, gen_key='gen')[source]¶ A metric-like class for recorder generated sentences.
Parameters: - dataloader (
dataloader.LanguageProcessingBase
) – A language generation dataloader. - gen_key (str) – The key of generated sentences. Default:
gen
.
-
forward
(data)[source]¶ Processing a batch of data.
Parameters: data (dict) – A dict at least contains the following keys:
- data[gen_key] (list or
numpy.ndarray
): A 2-d jagged or padded array of int. Sentences generated by model. Contains end token (eg:<eos>
), but without start token (eg:<go>
). Size:[batch_size, ~gen_sentence_length]
, where “~” means different sizes in this dimension is allowed.
- Here is an example for data:
>>> # all_vocab_list = ["<pad>", "<unk>", "<go>", "<eos>", "I", "have", >>> # "been", "to", "China"] >>> data = { ... gen_key: [[6,7,8,3], [4,5,3]] ... }
- data[gen_key] (list or
- dataloader (
-
class
cotk.metric.
MetricChain
[source]¶ A metric-like class for stacked metric. You can use this class making multiples metric combination like one.
Examples
>>> metric = MetricChain() >>> metric.add_metric(BleuCorpusMetric()) >>> metric.add_metric(SingleDialogRecorder(dataloader))
Todo: Give more examples to combining forward and close
-
add_metric
(metric)[source]¶ Add metric for processing.
Parameters: metric (MetricBase) – a metric class.
-


City of the Future Examines the Future of Electrification
- Written by Christele Harrouk
- about 14 hours
City of the Future is a bi-weekly podcast from Sidewalk Labs that explores ideas and innovations that will transform cities.
In the fourth episode from season 2, hosts Eric Jaffe and Vanessa Quirk discuss the future of electrification with Gretchen Bakke, author of The Grid: The Fraying Wires Between Americans and Our Energy Future, and Sidewalk Labs’ director of sustainability Charlotte Matthews.
Electricity changed the world in the 20th century, and today the podcast is exploring new ways where electricity can change the world again. In fact, they state that “for the good of the planet, the all-electric home must make a comeback”. In this talk, new ideas are explored that could prepare our cities for a more sustainable future, through the concept of affordable electrification.
Related Article
City of the Future Explores the Future of Mobility in Cities
Getting to carbon zero with electricity is possible whereas this is out of the question with fossil fuels. Therefore, Charlotte Matthews, one of the guests, is encouraging investigation in clean, green, electric infrastructure. The guest shares also that “beneficial electrification is electrification for the purposes of reducing greenhouse gas emissions by getting away from fossil fuels”.
On another hand, Gretchen Bakke converses about “the Grid” or the network that leads electricity from a power plant to homes, and argues that “the amount of electricity that’s being produced has to equal the amount of electricity that’s being used”. She also discusses how organizing renewable energies is a must, and how to incorporate them into the system in order to balance the Grid, the production, the demand and meet everyone’s needs.


WITNESS LIST Public Health Committee June 28, 2000-10:00A Charity Care On: Bailey, Charles (Texas Hospital Association) Dixon, Dick L. (Scott & White Hospital) Gibson, III, Earnest (Riverside General Hospital) McGiffert, Lisa (Consumer's nion) Smith, E. Ashley (TIRR System) Sterk, Mary Faith (Scott & White Hospital) Vinson, John (Office of the Attorney General) Wayne, M.D., Richard (Santa Rosa Health Care) Charity Care Law On: Desai, Shaku (Texas Department of Health) Henderson, Mary (Ofice of the Attorney General) Henry, Ann (Texas Dept. of Health) EMS On: Racht, M.D., Ed (Medicine, EMS) Hospital Charity Care On: Guest, John (Harris County Hospital District) Rural EMS On: Burden, David (Atlanta Fire Department) Carpenter, Leon (City of Hunter Heghts) Harracksingh, Rachel (Texas Ambulance Association) Haussecker, Ron (EMSAT) Jung, Havid (Harper Volunteer Fire Dept.) Perkins, Kathryn C. (Texas Department of Health) Shaheen, F.E. (Rural Emergency Medical Services) Stefka, James (East Texas Medical Center, EMS) Tesson, Robert "Sam" (Center for Rural Health Initiatives) Rural Health Care On: Crawford, Brenita (Methodist Health Care System) Rural Hospitals / EMS On: Tesson, Sam (Center for Rural Health Initiatives)


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Cyclone ISO C++ API Reference Guide
|
Topic events Listener. More...
#include "TopicListener.hpp"
Inherits dds::topic::TopicListener< T >.
Public Member Functions | |
| virtual void | on_inconsistent_topic (Topic< T > &topic, const dds::core::status::InconsistentTopicStatus &status)=0 |
Topic events Listener.
This listener is just like TopicListener, except that the application doesn't have to implement all operations.
Definition at line 125 of file TopicListener.hpp.
|
pure virtualinherited |
This operation is called by the Data Distribution Service when the InconsistentTopicStatus changes.
The implementation may be left empty when this functionality is not needed. This operation will only be called when the relevant TopicListener is installed and enabled with the StatusMask::inconsistent_topic(). The InconsistentTopicStatus will change when another Topic exists with the same topic_name but different characteristics.
| topic | contain a pointer to the Topic on which the conflict occurred (this is an input to the application). |
| status | contain the InconsistentTopicStatus object (this is an input to the application). |