Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Makes 10-15 breadsticks
Dietary
These easy breadsticks are made with blue cheese, parmesan, garlic, jalapeños and Italian seasoning. Great with your favourite dips.
Add the yeast and sugar to 280ml/10oz warm water in a large bowl. Add 75g/2½fl oz of the flour, whisk and then leave for ten minutes for the yeast to activate.
Add the oil and then mix well.
Gradually add the remaining flour, salt, cheeses, Italian seasoning, garlic powder and the chopped jalapeños until completely incorporated.
Turn the dough out onto a lightly oiled surface and knead for about 5-8 minutes.
Put the dough into an oiled bowl, cover and leave for 30 minutes.
Preheat the oven to 190C/375F/Gas 5. Oil and flour at least two baking trays.
For the rub, combine all the rub ingredients in a small bowl.
Roll out the dough until at least 28cm/11in long. Brush with the egg yolk, sprinkle over the rub and gently press it in so that it sticks. Using either a knife or a pizza cutter, cut out strips of the dough, and holding from either ends of the strip, twist the dough gently and quickly to create a spiral and place onto a baking tray straightaway.
Bake for 15-20 minutes, or until the breadsticks are lightly golden-brown and feel firm to the touch. Remove the breadsticks from the oven and leave to cool on the baking trays.


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Jaws Too Deep Blue Sea
by Ross Anthony
About ten minutes into the picture, our primary characters chopper to an off-shore facility faintly reminiscent of a well-kept "Water World" set presented in such a way that you just know you'll be spending the rest of the film there.
"Deep Blue Sea" has all the classic elements: The shark swimming hero (who actually delivers a pretty good performance), the money guy, the preacher (LL Cool J), the architectural guy, the innocent and lovely assistant, the mad scientist (in this case, sexy and mad), and of course the beasts ... smart sharks. Seems sharks have some protein in their brains that when extracted can reverse the effects of Alzheimer's disease. I'm not sure why, but instead of harvesting from lots of sharks, our mad scientist decides to grow three sharks and enlarge their brains. "You've just taken nature's best killing machine and given it will and desire." This fair piece of dialogue aside, plenty of hokey lines abound (of which, Samuel L. Jackson, more oft than not the lucky deliverer) setting our screening audience laughing in a sort of cliché-induced hysteria.
For reasons less than obvious, all of the experimentation takes place submerged under the ocean surface.
If you can bite that off, you might just have a good time ooowing and aaahing at all the action (I did). Though the actual shark visuals aren't remarkable, other action (I don't want give anything away) is rather explosive. Nicely directed and seldom a dull moment, "Deep Blue Sea" swims from beginning to end with well placed and carefully timed bumps, sputters and twists.
It's no "Jaws," it's not really that scary, but it is fun.
Starring Saffron Burrows, Thomas Jane, LL Cool J and Samuel L. Jackson. Directed by Renny Harlen. Screenplay by Duncan Kennedy and Donna Powers & Wayne Powers. Produced by Akiva Goldsman, Tony Ludwig and Alan Riche at Warner Brothers.
Grade ......................................... B+
(C) 1999 Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Please direct comments/criticisms of the review to relevant newsgroups.
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"G2 Esports (also called as G2.Kinguin) is a Spanish professional eSports organization located in Madrid, founded in November 2013 by Carlos "ocelote" Rodriguez. The organization also hosts squads in League of Legends, Call of Duty, and Heroes of the Storm. The organization renamed from "Gamers2" to G2 Esports as a part of their 2015 rebranding project." http://wiki.teamliquid.net/counterstrike/G2_Esports
"SK Gaming is a German eSports organization. Founded in 1997 under the name "Schroet Kommando" in Oberhausen, Germany, it has since then grown into one of the largest and most well-known eSports organizations in the world, and they are primarily known for their hugely successful Counter-Strike team." http://wiki.teamliquid.net/counterstrike/SK_Gaming


--- layout: post tags: [Dependency Injection, StructureMap, Unit Testing] date: 2011-12-21 13:25:32 UTC title: "Testing Container Configurations" description: "Should you unit test your DI Container configuration? I don't think so. Here's why." image: "/content/binary/Windows-Live-Writer/Testing-Container-Configurations_84D9/containersets_thumb.png" --- {% include JB/setup %}
Here's a question I often get:
“Should I test my DI Container configuration?”
The motivation for asking mostly seems to be that people want to know whether or not their applications are correctly wired. That makes sense.
A related question I also often get is whether or not a particular container has a self-test feature? In this post I'll attempt to answer both questions.
Some DI Containers have a method you can invoke to make it perform a consistency check on itself. As an example, StructureMap has the AssertConfigurationIsValid method that, according to documentation does “a full environment test of the configuration of [the] container.” It will “try to create every configured instance [...]”
Calling the method is really easy:
container.AssertConfigurationIsValid();
Such a self-test can often be an expensive operation (not only for StructureMap, but in general) because it's basically attempting to create an instance of each and every Service registered in the container. If the configuration is large, it's going to take some time, but it's still going to be faster than performing a manual test of the application.
Two questions remain: Is it worth invoking this method? Why don't all containers have such a method?
The quick answer is that such a method is close to worthless, which also explains why many containers don't include one.
To understand the answer, consider the set of all components contained in the container in this figure:
The container contains the set of components IFoo, IBar, IBaz, Foo, Bar, Baz, and Qux so a self-test will try to create a single instance of each of these seven types. If all seven instances can be created, the test succeeds.
All this accomplishes is to verify that the configuration is internally consistent. Even so, an application could require instances of the ICorge, Corge or Grault types which are completely external to the configuration, in which case resolution would fail.
Even more subtly, resolution would also fail whenever the container is queried for an instance of IQux, since this interface isn't part of the configuration, even though it's related to the concrete Qux type which is registered in the container. A self-test only verifies that the concrete Qux class can be resolved, but it never attempts to create an instance of the IQux interface.
In short, the fact that a container's configuration is internally consistent doesn't guarantee that all services required by an application can be served.
Still, you may think that at least a self-test can constitute an early warning system: if the self-test fails, surely it must mean that the configuration is invalid? Unfortunately, that's not true either.
If a container is being configured using Auto-registration/Convention over Configuration to scan one or more assemblies and register certain types contained within, chances are that ‘too many' types will end up being registered - particularly if one or more of these assemblies are reusable libraries (as opposed to application-specific assemblies). Often, the number of redundant types added is negligible, but they may make the configuration internally inconsistent. However, if the inconsistency only affects the redundant types, it doesn't matter. The container will still be able to resolve everything the current application requires.
Thus, a container self-test method is worthless.
Then how can the container configuration be tested?
Since a container self-test doesn't achieve the desired goal, how can we ensure that an application can be composed correctly?
One option is to write an automated integration test (not a unit test) for each service that the application requires. Still, if done manually, you run the risk of forgetting to write a test for a specific service. A better option is to come up with a convention so that you can identify all the services required by a specific application, and then write a convention-based test to verify that the container can resolve them all.
Will this guarantee that the application can be correctly composed?
No, it only guarantees that it can be composed - not that this composition is correct.
Even when a composed instance can be created for each and every service, many things may still be wrong:
In short, a Subcutaneous Test or full System Test is the only way to verify that everything is correctly wired. However, if you have good test coverage at the unit test level, a series of Smoke Tests is all that you need at the System Test level because in general you have good reason to believe that all behavior is correct. The remaining question is whether all this correct behavior can be correctly connected, and that tends to be an all-or-nothing proposition.
While it would be possible to write a set of convention-based integration tests to verify the configuration of a DI Container, the return of investment is too low since it doesn't remove the need for a set of Smoke Tests at the System Test level.
Comments
A failing smoke test won't always tell you exactly what went wrong (while that's a failing of the test, it's not always that easy to fix). Rather than investigating, I'd prefer to have a failing integration test that means the smoke test won't even be run.
I find the most value comes from tests that try and resolve the root of the object graph from the bootstrapped container, i.e. anything I (or a framework) explicitly try and resolve at runtime.
Their being green doesn't necessarily mean the application is fine, but their being red means it's definitely broken. It is a duplication of testing, but so are the smoke tests and some of the unit tests (hopefully!).
The correct wireing is already tested by the DI Container itself. An error prone configuration will be obvious in the first developer or at least user test.
So, is this kind of test overhead, useful or even necessary?
I probably wouldn't do these kind tests.
Would it be worthwhile strategy to unit test my container's configuration by mocking the container's resolver? I'd like to be able to run my registration on a container, then assert that the mocked resolver received the correct "Resolve" messages in the correct order. Currently I'm using validating this with an integration test, but I was thinking that this would be much simpler---if my container supports it.
I'll go back and think a bit more about how I can test the resulting behaviour instead of the implementation.
Nice post! We have a set of automated developer acceptance tests which start the system in an machine.specifications test, execute business commands, shuts down the system and does business asserts on the external subsystems which are stubbed away depending on the feature under test. With that we have an implicit container test: the system boots and behave as expected. If someone adds new ccomponents for that feature which are not properly registered the tests will fail.
Daniel
While I agree on the principle one question came to my mind related to the first part. I don't understand why resolving IQux is an issue because even in runtime it's not required and not registered?
Thanks
Thomas
So, if an application code base requires IQux, the application is going to fail even when the container self-test succeeds.
You have made a very basic and primitive argument to sell a complex but feasible process as pointless:
and without a working example of a better way you explain why you are right. I am an avid reader of your posts and often reference them but IMO this particular argument is not well reasoned.
Your opening argument explains why you may have an issue when using the Service Locator anti-pattern:
Assertions such as the following would ideally be specified in a set of automated tests regardless of the method of composition
&
And I fail to see how Pure DI would make the following into lesser issues
&
My response was prompted by a statement made by you on stackoverflow. You are most highly regarded when it comes to .NET and DI and I feel statements such as "Some people hope that you can ask a DI Container to self-diagnose, but you can't." are very dangerous when they are out-of-date.
Simple Injector will diagnose a number of issues beyond "do I have a registration for X". I'm not claiming that these tests alone are full-proof validation of your configuration but they are set of built in tests for issues that can occur in any configuration (including a Pure configuration) and these combined tests are far from worthless ...
IDisposable
Your claim that "such a method is close to worthless" may be true for the majority of the available .NET DI Containers but it does not take Simple Injector's diagnostic services into consideration.


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|
Jetson Inference
DNN Vision Library
|
Holds the input parameters for hardware buffer creation. More...
#include <nvbuf_utils.h>
Public Attributes | |
| int32_t | width |
| width of the buffer. More... | |
| int32_t | height |
| height of the buffer. More... | |
| NvBufferPayloadType | payloadType |
| payload type of the buffer. More... | |
| int32_t | memsize |
| size of the memory. More... | |
| NvBufferLayout | layout |
| layout of the buffer. More... | |
| NvBufferColorFormat | colorFormat |
| colorformat of the buffer. More... | |
| NvBufferTag | nvbuf_tag |
| tag to associate with the buffer. More... | |
Holds the input parameters for hardware buffer creation.
| NvBufferColorFormat _NvBufferCreateParams::colorFormat |
colorformat of the buffer.
| int32_t _NvBufferCreateParams::height |
height of the buffer.
| NvBufferLayout _NvBufferCreateParams::layout |
layout of the buffer.
| int32_t _NvBufferCreateParams::memsize |
size of the memory.
(Applicale for NvBufferPayload_MemHandle)
| NvBufferTag _NvBufferCreateParams::nvbuf_tag |
tag to associate with the buffer.
| NvBufferPayloadType _NvBufferCreateParams::payloadType |
payload type of the buffer.
| int32_t _NvBufferCreateParams::width |
width of the buffer.


Beth's
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Toppings
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Onions
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A portable ES6 class for an attractive SVG loading element.
v1.0.0
new JSephus
To instantiate a new class, use the ES6 syntax new JSephus()
. The constructor has two arguments:
parentsvgId
: the name or DOM element of the parent SVG.n
: the number of circles to draw.Usage
var jsph = new JSephus("jsph-svg", 41);
See also
init
Summary
Draw a JSephus
object in the parent SVG element.
Arguments
| Argument | Type | Description |
|---|---|---|
| instant | boolean | Whether to fade-in or instantly show the loader. Default false . |
Usage
jsph.init();
Details
After instantiating a new JSephus object, this function initialises that object: it calculates the position of the circles, creates these elements as well as the text element and appends them to the parent SVG in the DOM. By default, this happens in a ‘pretty’ way: the elements fade-in in a short amount of time. Setting the argument instant
to false
removes this transition and instantly shows the loader.
It is necessary to call init
after setting properties using the setProperty
method to show the changes.
See also
createSVG, setProperty, setProgress
setProperty
Summary
Styling the loader by changing the display properties of the JSephus
object.
Arguments
| Argument | Type | Description |
|---|---|---|
| property | string, array, object | In case of string or array: the name(s) of the properties to change. In this case it also needs a value argument. Otherwise: a JSON object with as keys the names of the properties to set and as values the desired values of these properties. |
| value | value, array, null | Which value to change the corresponding property to. Its type depends on the selected property. |
Usage
jsph.setProperty("radius", 15);
jsph.setProperty(["radius", "dist"], [15, 100]);
jsph.setProperty({
"alpha": 0.1,
"fontSize": "50",
"textOpacity": "0.5"
});
// chaining setProperty & init
jsph.setProperty("radius", 15).init();
Details
This is the workhorse JSephus
styling method. In order to know which properties can be set, see Properties. In case of erroneous input, this function returns informative errors, so don’t be afraid to play around!
See also
setProgress
Summary
Set the progress value of the loader element. This function updates the loader to the new state.
Arguments
| Argument | Type | Description |
|---|---|---|
| proportion | number | The progress proportion to set the JSephus loader at. This number needs to be between 0 and 1. |
Usage
jsph.setProgress(0.5);
See also
reset
Summary
Set the progress value of the loader element to 0. If text is hidden but property displayText
is true
, also show the text element.
Usage
jsph.reset();
See also
init, setProgress, start, hideText
start
Summary
Animate the progress until 100% in a given amount of time.
Arguments
| Argument | Type | Description |
|---|---|---|
| time | integer | The time in milliseconds that it should take the loader to animate from 0% to 100%. Default 10000 (10 seconds) |
| callback | function | Function to call after the progress has reached 100%. The argument of this function is the JSephus element. |
Usage
// run for 10 seconds
jsph.start();
// run for 5 seconds, hide text after done
jsph.start(5000, jsph => jsph.hideText());
See also
init, reset, reverse, hideText
reverse
Summary
Animate the progress down to 0% in a given amount of time.
Arguments
| Argument | Type | Description |
|---|---|---|
| time | integer | The time in milliseconds that it should take the loader to animate from 100% to 0%. Default 10000 (10 seconds) |
| callback | function | Function to call after the progress has reached 0%. The argument of this function is the JSephus element. |
Usage
// run for 10 seconds
jsph.reverse();
// run for 5 seconds, hide text after done
jsph.reverse(5000, jsph => jsph.hideText());
See also
stop
Summary
Stops the animation initiated by start or reverse.
Usage
jsph.stop();
See also
hideText
Summary
Hide the text element (by setting its opacity to 0).
Usage
jsph.hideText();
See also
showText, reset, displayText, textOpacity, textColour
showText
Summary
Show the text element (by setting its opacity to textOpacity), even when displayText is set to false
.
Usage
jsph.showText();
See also
showText, reset, displayText, textOpacity, textColour
Static methods do not require an instance of the JSephus class. They can be called as elements of the class specification: JSephus.method()
.
createSVG
Summary
Creates a proper SVG
element for JSephus
and appends it to the window DOM.
Arguments
| Argument | Type | Description |
|---|---|---|
| parentId | string | The parent <div> of the <svg> |
| svgId | string | The id of the new <svg> |
| viewBoxWidth | number | The width of the internal coordinate system |
| viewBoxHeight | number | The height of the internal coordinate system |
Usage
JSephus.createSVG("parentDiv", "jsph-svg", 512, 512);
Details
JSephus uses the viewBox of the SVG element to calculate the midpoint, distances, translation distances, and radii of its circles. I recommend setting the margins or the padding of the parent div to resize the loading element, not to change any properties of the SVG itself. Of course, if you are an SVG pro, feel free to play around with viewBoxes and such.
See also
init, setProperty, dist, radius, transDist
These are the properties that can be changed through the setProperty method.
| Name | type | description |
|---|---|---|
| n | integer | The number of circles in the loading element. No default (set by the constructor). |
| colour | boolean | Whether the elements have colour or grayscale. Default true . |
| alpha | number | Number between 0 and 1 that indicates the opacity of the circles. 0 indicates fully transparent. Default 1 . |
| dist | number | Distance of the circles from the midpoint, expressed in terms of svg coordinate units set by the viewBox in the constructor. Default 2/3rds the shortest distance from the middle to the edge of the box. |
| radius | number | Radius of the circles themselves. Default 10 . |
| precision | number | Precision (step size) of the animation started by start or reverse. Has to be larger than 0, smaller than 1. Default 0.001 . |
| displayText | boolean | Whether to show the animated text in the middle of the loader. Default true . Override through showText or hideText possible. |
| fontSize | CSS string | Font size of the text element. This accepts CSS strings so it is possible to use relative units such as “1rem”. Default 60 . |
| fontFamily | CSS string | The font family of the text element. Default system font stack. |
| textOpacity | CSS string | String of a number between 0 and 1 that indicates the opacity of the text element. “0” indicates fully transparent. Default "1.0" . |
| textColour | CSS string | Colour of the text. Default "rgb(60, 150, 120)" . |
| disappear | boolean | Whether the circles should disappear when they are “killed”. Default true . |
| transDist | number | How far the circles should travel outward when they are “killed”. Default dist * 1/5 . |
| transDuration | CSS string | String indicating how long it should take a “killed” element to move and / or disappear. Default "0.4s" |
| transFunction | CSS string | What should the css transition-timing-function property of the transition be. Default “cubic-bezier(.59, .01, .39, .97)”. |
| textTransform | CSS string | CSS string indicating the transform to be applied to the text element. Can be used to properly align text in case the font displays strangely, or simply to move the text to a corner, for example. Default "translate(0px, 0px)" . |


Is there a limit to the number of files Command-T will attempt to find under the current directory?
-
anonymous
I noticed that if I'm in a directory with many files (~50,000), Command-T will not be able to get at *some* of the files. Is there a limit to the number of files that Command-T will attempt to find under the current directory? Can it be changed?
-
Greg Hurrell
Yes, see the docs (
:help command-t-options
in Vim), specifically theg:CommandTMaxFiles
setting. -
anonymous
Thanks!
-
anonymous
Is it possible to get the number of found matches?
I would like to see a info like "X files matched" in the status bar or prompt, after the initial scan and then while typing.
Reply
This topic is now closed.


Max Chadwick @maxpchadwick COVID-19 is, deservedly, the top news story right now. But...don't forget to respond to the Census!
COVID-19 is, deservedly, the top news story right now. But...don't forget to respond to the Census!


The command line to run when the container is started. Command will override ENTRYPOINT now.
${rootUrl}, ${secret} and ${nodeName} will be replace with JenkinsUrl, Secret and ComputerNodeName automatically.
jenkins-agent -url ${rootUrl} ${secret} ${nodeName}
for jenkins/inbound-agent
setup-sshd
for jenkins/ssh-agent


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THE MEMORARE
Remember, o most gracious Virgin Mary, that never was it known that anyone who fled to thy protection,
implore thy help or sought thy intercession was left unaided. Inspired by this confidence,
I fly unto thee, o virgin of virgins, my mother, to thee I come, before thee I stand sinful and sorrowful.
O mother of the word incarnate, despise not my petition but in thy mercy hear and answer me. Amen. |


Syntax:
make-sequence result-type size &key initial-element => sequence
Arguments and Values:
result-type---a sequence type specifier.
size---a non-negative integer.
initial-element---an object. The default is implementation-dependent.
sequence---a proper sequence.
Description:
Returns a sequence of the type result-type and of length size, each of the elements of which has been initialized to initial-element.
If the result-type is a subtype of list, the result will be a list.
If the result-type is a subtype of vector, then if the implementation can determine the element type specified for the result-type, the element type of the resulting array is the result of upgrading that element type; or, if the implementation can determine that the element type is unspecified (or *), the element type of the resulting array is t; otherwise, an error is signaled.
Examples:
(make-sequence 'list 0) => () (make-sequence 'string 26 :initial-element #\.) => ".........................." (make-sequence '(vector double-float) 2 :initial-element 1d0) => #(1.0d0 1.0d0)
(make-sequence '(vector * 2) 3) should signal an error (make-sequence '(vector * 4) 3) should signal an error
Affected By:
The implementation.
Exceptional Situations:
The consequences are unspecified if initial-element is not an object which can be stored in the resulting sequence.
An error of type type-error must be signaled if the result-type is neither a recognizable subtype of list, nor a recognizable subtype of vector.
An error of type type-error should be signaled if result-type specifies the number of elements and size is different from that number.
See Also:
Notes:
(make-sequence 'string 5) == (make-string 5)


The CSS background properties are used to define the background effects for elements. CSS background properties: 1) background-color 2) background-image 3) background-repeat 4) background-attachment 5) background-position


REST webservices are cool. Nowadays there are a lot of APIS with REST and in combination with JSONP is really easy to build applications. Actually I am playing with CouchDB. It has a nice RESTfull API and I want to use it with PHP. There are several PHP libraries, even a nice PHP extension to work with CouchDB. I like Zend Framework’s REST client but as exercise I will develop a HTTP client. My idea is to create a simple class that allows me to perform GET, POST and DELETE requests to a remote server.
That’s the way I want to use my class:
echo Http::connect('localhost', 8082)
->doGet('tests/httpclient/dummy.php', array('a' => "a a a"));
First I want to do a lazy connection to server. That’s because I want to create the real connection only when I create the request. So I create a factory function that only saves the configuration of the client:
private $_host = null;
private $_port = null;
private $_user = null;
private $_pass = null;
/**
* Factory of the class. Lazy connect
*
* @param string $host
* @param integer $port
* @param string $user
* @param string $pass
* @return Http
*/
static public function connect($host, $port, $user=null, $pass=null)
{
return new self($host, $port, $user, $pass);
}
And now one public function for each action:
const POST = 'POST';
const GET = 'GET';
const DELETE = 'DELETE';
/**
* POST request
*
* @param string $url
* @param array $params
* @return string
*/
public function doPost($url, $params=array())
{
return $this->_exec(self::POST, $this->_url($url), $params);
}
/**
* GET Request
*
* @param string $url
* @param array $params
* @return string
*/
public function doGet($url, $params=array())
{
return $this->_exec(self::GET, $this->_url($url), $params);
}
/**
* DELETE Request
*
* @param string $url
* @param array $params
* @return string
*/
public function doDelete($url, $params=array())
{
return $this->_exec(self::DELETE, $this->_url($url), $params);
}
And one extra function to set the headers of the request
private $_headers = array();
/**
* setHeaders
*
* @param array $headers
* @return Http
*/
public function setHeaders($headers)
{
$this->_headers = $headers;
return $this;
}
I use a settler function and chainable (returns the instance of the class) because if I need to use some custom headers I want to use the following interface:
echo Http::connect('localhost', 8082)
->setHeaders($myCustomHeaders)
->doGet('tests/httpclient/dummy.php', array('a' => "a a a"));
And finally the main function. The function that perform the real request. There are several ways to do that in PHP. For this example I will use CURL’s functions. You must take care about it because CURL extension is not always available in PHP installations. So please check your phpinfo(). If CURL is not available and if you are not allowed to install it you must chose another alternatives.
const HTTP_OK = 200;
const HTTP_CREATED = 201;
const HTTP_ACEPTED = 202;
/**
* Performing the real request
*
* @param string $type
* @param string $url
* @param array $params
* @return string
*/
private function _exec($type, $url, $params = array())
{
$headers = $this->_headers;
$s = curl_init();
if(!is_null($this->_user)){
curl_setopt($s, CURLOPT_USERPWD, $this->_user.':'.$this->_pass);
}
switch ($type) {
case self::DELETE:
curl_setopt($s, CURLOPT_URL, $url . '?' . http_build_query($params));
curl_setopt($s, CURLOPT_CUSTOMREQUEST, self::DELETE);
break;
case self::POST:
curl_setopt($s, CURLOPT_URL, $url);
curl_setopt($s, CURLOPT_POST, true);
curl_setopt($s, CURLOPT_POSTFIELDS, $params);
break;
case self::GET:
curl_setopt($s, CURLOPT_URL, $url . '?' . http_build_query($params));
break;
}
curl_setopt($s, CURLOPT_RETURNTRANSFER, true);
curl_setopt($s, CURLOPT_HTTPHEADER, $headers);
$_out = curl_exec($s);
$status = curl_getinfo($s, CURLINFO_HTTP_CODE);
curl_close($s);
switch ($status) {
case self::HTTP_OK:
case self::HTTP_CREATED:
case self::HTTP_ACEPTED:
$out = $_out;
break;
default:
throw new Http_Exception("http error: {$status}", $status);
}
return $out;
}
I’ve have also created a Http_Exception Exception class:
class Http_Exception extends Exception{
const NOT_MODIFIED = 304;
const BAD_REQUEST = 400;
const NOT_FOUND = 404;
const NOT_ALOWED = 405;
const CONFLICT = 409;
const PRECONDITION_FAILED = 412;
const INTERNAL_ERROR = 500;
}
Http throws Http_Exception when something wrong happens so I can play with it to build my application logic. For example:
try {
echo Http::connect('localhost', 8082)
->doGet('tests/couchdb/a.php', array('a' => "a a a"));
} catch (Http_Exception $e) {
switch ($e) {
case Http_Exception::INTERNAL_ERROR:
// do something
break;
}
}
And that’s it. There is the full code available on bitbucket.
UPDATED. See a variation of this class in the next article: Building a REST client with asynchronous calls using PHP and curl


| metacharacters |
. ^ $ * + ? { } [ ] \ | ( )
|
| slash |
\d
Matches any decimal digit; this is equivalent to the class [0-9].
\D
Matches any non-digit character; this is equivalent to the class [^0-9].
\s
Matches any whitespace character; this is equivalent to the class [ \t\n\r\f\v].
\S
Matches any non-whitespace character; this is equivalent to the class [^ \t\n\r\f\v].
\w
Matches any alphanumeric character; this is equivalent to the class [a-zA-Z0-9_].
\W
Matches any non-alphanumeric character; this is equivalent to the class [^a-zA-Z0-9_].
[\s,.] is a character class that will match any whitespace character, or ',' or '.'.
The final metacharacter in this section is .. It matches anything except a newline character, and there’s an alternate mode (re.DOTALL) where it will match even a newline. '.' is often used where you want to match “any character”.
|
| Raw string |
Regular String Raw string
"ab*" r"ab*"
"\\\\section" r"\\section"
"\\w+\\s+\\1" r"\w+\s+\1"
|
| match |
Method/Attribute Purpose
match() Determine if the RE matches at the beginning of the string.
search() Scan through a string, looking for any location where this RE matches.
findall() Find all substrings where the RE matches, and returns them as a list.
finditer() Find all substrings where the RE matches, and returns them as an iterator.
Method/Attribute Purpose
group() Return the string matched by the RE
start() Return the starting position of the match
end() Return the ending position of the match
span() Return a tuple containing the (start, end) positions of the match
|
| findall |
p = re.compile('\d+')
>>> p.findall('12 drummers drumming, 11 pipers piping, 10 lords a-leaping')
['12', '11', '10']
|
| finditer |
iterator = p.finditer('12 drummers drumming, 11 ... 10 ...')
>>> iterator
>>> for match in iterator:
... print match.span()
...
(0, 2)
(22, 24)
(29, 31)
|
| match |
print re.match(r'From\s+', 'From amk Thu May 14 19:12:10 1998')
|
| flag |
Flag Meaning
DOTALL, S Make . match any character, including newlines
IGNORECASE, I Do case-insensitive matches
LOCALE, L Do a locale-aware match
MULTILINE, M Multi-line matching, affecting ^ and $
VERBOSE, X Enable verbose REs, which can be organized more cleanly and understandably.


EXCLUSIVE: Grant Cardone Calls "Wolf of Wall Street" Jordan Belfort a Broke Rat
by VladTVIn this clip, Grant Cardone spoke about Jordan Belfort, who was the subject of the film ‘The Wolf of Wall Street.’ While speaking on him, Cardone didn’t hold back, calling him a “f**king criminal” and a “f**king rat.” Then he went on to say that if there wasn’t a movie about him, no one would know who he is.


The general approach is:
See here for details on exporting hdfs_path entities.
| Title | Export API |
|---|---|
| Example | See Examples sections below. |
| URL | api/atlas/admin/export |
| Method | POST |
| URL Parameters | None |
| Data Parameters | The class AtlasExportRequest is used to specify the items to export. The list of AtlasObjectId(s) allow for specifying the multiple items to export in a session. The AtlasObjectId is a tuple of entity type, name of unique attribute, value of unique attribute. Several items can be specified. See examples below. |
| Success Response | File stream as application/zip. |
| Error Response | Errors that are handled within the system will be returned as AtlasBaseException. |
| Notes | Consumer could choose to consume the output of the API by programmatically using java.io.ByteOutputStream or by manually, save the contents of the stream to a file on the disk. |
@POST @Path("/export") @Consumes("application/json;charset=UTF-8")
It is possible to specify additional parameters for the Export operation.
Current implementation has 2 options. Both are optional:
If no matchType is specified, exact match is used. Which means, that the entire string is used in the search criteria.
Searching using matchType applies for all types of entities. It is particularly useful for matching entities of type hdfs_path (see here).
The fetchType option defaults to FULL.
For complete example see section below.
The exported ZIP file has the following entries within it:
The AtlasExportRequest below shows filters that attempt to export 2 databases in cluster cl1:
{ "itemsToExport": [ { "typeName": "hive_db", "uniqueAttributes": { "qualifiedName": "accounts@cl1" } }, { "typeName": "hive_db", "uniqueAttributes": { "qualifiedName": "hr@cl1" } } ] }
The AtlasExportRequest below specifies the fetchType as FULL. The matchType option will fetch accounts@cl1.
{ "itemsToExport": [ { "typeName": "hive_db", "uniqueAttributes": { "qualifiedName": "accounts@" } }, ], "options" { "fetchType": "FULL", "matchType": "startsWith" } }
The AtlasExportRequest below specifies the fetchType as connected. The matchType option will fetch accountsReceivable, accountsPayable, etc present in the database.
{ "itemsToExport": [ { "typeName": "hive_db", "uniqueAttributes": { "name": "accounts" } }, ], "options" { "fetchType": "CONNECTED", "matchType": "startsWith" } }
Below is the AtlasExportResult JSON for the export of the Sales DB present in the QuickStart.
The metrics contains the number of types and entities exported as part of the operation.
{ "clientIpAddress": "<IP_ADDRESS>", "hostName": "<IP_ADDRESS>", "metrics": { "duration": 1415, "entitiesWithExtInfo": 12, "entity:DB_v1": 2, "entity:LoadProcess_v1": 2, "entity:Table_v1": 6, "entity:View_v1": 2, "typedef:Column_v1": 1, "typedef:DB_v1": 1, "typedef:LoadProcess_v1": 1, "typedef:StorageDesc_v1": 1, "typedef:Table_v1": 1, "typedef:View_v1": 1, "typedef:classification": 6 }, "operationStatus": "SUCCESS", "request": { "itemsToExport": [ { "typeName": "DB_v1", "uniqueAttributes": { "name": "Sales" } } ], "options": { "fetchType": "FULL" } }, "userName": "admin" }
Below are sample CURL calls that demonstrate Export of QuickStart database.
curl -X POST -u adminuser:password -H "Content-Type: application/json" -H "Cache-Control: no-cache" -d '{ "itemsToExport": [ { "typeName": "DB", "uniqueAttributes": { "name": "Sales" } }, { "typeName": "DB", "uniqueAttributes": { "name": "Reporting" } }, { "typeName": "DB", "uniqueAttributes": { "name": "Logging" } } ], "options": { "fetchType": "FULL" } }' "http://localhost:21000/api/atlas/admin/export" > quickStartDB.zip


Objectives and Quality Ranges
In this window, you can view the optimization objectives and, initially, the ranges of quality values.
- Set min and/or max values to show only variants withing the give quality range. You can set a minimum, or a maximum, or both.
Return to Welcome page


SQLAlchemy 0.5.6 Documentation
Search:
Version:
0.5.6
Last Updated: 09/13/2009 10:45:11
API Reference
|
Index
(
view source)
Table of Contents
Next:
Overview / Installation
Table of Contents
Table of Contents
¶
Overview / Installation
Overview
Tutorials
Main Documentation
API Reference
Installing SQLAlchemy
Installing a Database API
Checking the Installed SQLAlchemy Version
0.4 to 0.5 Migration
Object Relational Tutorial
Version Check
Connecting
Define and Create a Table
Define a Python Class to be Mapped
Setting up the Mapping
Creating Table, Class and Mapper All at Once Declaratively
Creating a Session
Adding new Objects
Rolling Back
Querying
Common Filter Operators
Returning Lists and Scalars
Using Literal SQL
Counting
Building a Relation
Working with Related Objects
Querying with Joins
Using Aliases
Using Subqueries
Selecting Entities from Subqueries
Using EXISTS
Common Relation Operators
Deleting
Configuring delete/delete-orphan Cascade
Building a Many To Many Relation
Further Reference
SQL Expression Language Tutorial
Version Check
Connecting
Define and Create Tables
Insert Expressions
Executing
Executing Multiple Statements
Connectionless / Implicit Execution
Selecting
Operators
Conjunctions
Using Text
Using Aliases
Using Joins
Intro to Generative Selects and Transformations
Everything Else
Bind Parameter Objects
Functions
Unions and Other Set Operations
Scalar Selects
Correlated Subqueries
Ordering, Grouping, Limiting, Offset...ing...
Updates
Correlated Updates
Deletes
Further Reference
Mapper Configuration
Mapper Configuration
Customizing Column Properties
Deferred Column Loading
SQL Expressions as Mapped Attributes
Changing Attribute Behavior
Simple Validators
Using Descriptors
Custom Comparators
Composite Column Types
Controlling Ordering
Mapping Class Inheritance Hierarchies
Joined Table Inheritance
Controlling Which Tables are Queried
Creating Joins to Specific Subtypes
Single Table Inheritance
Concrete Table Inheritance
Using Relations with Inheritance
Mapping a Class against Multiple Tables
Mapping a Class against Arbitrary Selects
Multiple Mappers for One Class
Constructors and Object Initialization
Extending Mapper
Relation Configuration
Basic Relational Patterns
One To Many
Many To One
One To One
Many To Many
Association Object
Adjacency List Relationships
Self-Referential Query Strategies
Configuring Eager Loading
Specifying Alternate Join Conditions to relation()
Specifying Foreign Keys
Building Query-Enabled Properties
Multiple Relations against the Same Parent/Child
Rows that point to themselves / Mutually Dependent Rows
Alternate Collection Implementations
Custom Collection Implementations
Annotating Custom Collections via Decorators
Dictionary-Based Collections
Instrumentation and Custom Types
Configuring Loader Strategies: Lazy Loading, Eager Loading
Routing Explicit Joins/Statements into Eagerly Loaded Collections
Working with Large Collections
Dynamic Relation Loaders
Setting Noload
Using Passive Deletes
Mutable Primary Keys / Update Cascades
Using the Session
What does the Session do ?
Getting a Session
Using a sessionmaker() Configuration
Binding Session to an Engine
Binding Session to a Connection
Using create_session()
Configurational Arguments
Using the Session
Quickie Intro to Object States
Frequently Asked Questions
Querying
Adding New or Existing Items
Merging
Deleting
Flushing
Committing
Rolling Back
Expunging
Closing
Refreshing / Expiring
Session Attributes
Cascades
Managing Transactions
Using SAVEPOINT
Enabling Two-Phase Commit
Embedding SQL Insert/Update Expressions into a Flush
Using SQL Expressions with Sessions
Joining a Session into an External Transaction
Contextual/Thread-local Sessions
Creating a Thread-local Context
Lifespan of a Contextual Session
Partitioning Strategies
Vertical Partitioning
Horizontal Partitioning
Extending Session
Database Engines
Supported Databases
create_engine() URL Arguments
Custom DBAPI connect() arguments
Database Engine Options
More On Connections
Using Transactions with Connection
Understanding Autocommit
Connectionless Execution, Implicit Execution
Using the Threadlocal Execution Strategy
Configuring Logging
Database Meta Data
Describing Databases with MetaData
Defining Foreign Keys
Accessing Tables and Columns
Binding MetaData to an Engine or Connection
Reflecting Tables
Overriding Reflected Columns
Reflecting All Tables at Once
Specifying the Schema Name
ON UPDATE and ON DELETE
Other Options
Creating and Dropping Database Tables
Column Insert/Update Defaults
Pre-Executed Python Functions
Pre-executed and Inline SQL Expressions
DDL-Level Defaults
Triggered Columns
Defining Sequences
Defining Constraints and Indexes
UNIQUE Constraint
CHECK Constraint
Indexes
Adapting Tables to Alternate Metadata
API Reference
sqlalchemy
Connections
Creating Engines
Connectables
Result Objects
Transactions
Internals
Connection Pooling
Connection Pool Configuration
Custom Pool Construction
Builtin Pool Implementations
Pooling Plain DB-API Connections
SQL Statements and Expressions
Functions
Classes
Generic Functions
Database Schema
Tables and Columns
Constraints
Default Generators and Markers
DDL
Internals
Column and Data Types
Generic Types
SQL Standard Types
Vendor-Specific Types
Custom Types
Interfaces
sqlalchemy.orm
Class Mapping
Defining Mappings
Mapper Properties
Decorators
Utilities
Attribute Utilities
Internals
Collection Mapping
Querying
The Query Object
ORM-Specific Query Constructs
Query Options
Sessions
Interfaces
Utilities
sqlalchemy.databases
Access
Firebird
Firebird backend
Firebird dialects
Pooling connections
RETURNING support
Informix
MaxDB
Overview
Connecting
Implementation Notes
SQL Server
Driver
Connecting
Auto Increment Behavior
Collation Support
LIMIT/OFFSET Support
Nullability
Date / Time Handling
Compatibility Levels
Known Issues
MySQL
Overview
Supported Versions and Features
Character Sets
Storage Engines
Keys
SQL Mode
MySQL SQL Extensions
Troubleshooting
MySQL Column Types
Oracle
Driver
Connecting
Auto Increment Behavior
LOB Objects
LIMIT/OFFSET Support
Two Phase Transaction Support
Oracle 8 Compatibility
Synonym/DBLINK Reflection
PostgreSQL
Driver
Connecting
Sequences/SERIAL
INSERT/UPDATE...RETURNING
Indexes
Transactions
SQLite
Driver
Connect Strings
Threading Behavior
Date and Time Types
Unicode
Sybase
sqlalchemy.ext
declarative
Synopsis
Defining Attributes
Association of Metadata and Engine
Configuring Relations
Configuring Many-to-Many Relations
Defining Synonyms
Table Configuration
Mapper Configuration
Inheritance Configuration
Joined Table Inheritance
Single Table Inheritance
Concrete Table Inheritance
Class Usage
associationproxy
Simplifying Relations
Simplifying Association Object Relations
Building Complex Views
API
orderinglist
serializer
SqlSoup
Introduction
Loading objects
Full query documentation
Modifying objects
Joins
Relations
Advanced Use
Accessing the Session
Mapping arbitrary Selectables
Raw SQL
Dynamic table names
Extra tests
compiler
Synopsis
Indices and tables
¶
Index
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Next:
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©
Copyright
2007, 2008, 2009, the SQLAlchemy authors and contributors. Created using
Sphinx
0.6.2.


funs() = map()
vars() = map()
| core_state/0 | A slightly-less-minimal OTPCL interpreter state. |
| default_state/0 | The default OTPCL interpreter state. |
| minimal_state/0 | A minimal OTPCL interpreter state. |
| stringy_state/0 | A minimal OTPCL interpreter state, designed for "stringy" interpreters. |
core_state() -> state()
A slightly-less-minimal OTPCL interpreter state.
Same as minimal_state/0
, but with the commands from otpcl_core
pre-imported, such that return
and |
(i.e. the basic pipe) are
available.
default_state() -> state()
The default OTPCL interpreter state.
Includes all the basics required for an (approximately) self-sufficient OTPCL session (i.e. with the unrestricted ability to affect the world beyond the interpreter state).minimal_state() -> state()
A minimal OTPCL interpreter state.
Includes the absolute bare bones necessary for the interpreter to not freak out (namely: setting an initial value for$RETVAL
in
case the interpreter encounters a program with no commands).
stringy_state() -> state()
A minimal OTPCL interpreter state, designed for "stringy" interpreters.
That is: this state sets a special variable ($STRINGY_INTERPRETER
)
which tells the OTPCL interpreter to generate (binary) strings
whenever it would otherwise dynamically generate an atom or number.
This is handy for situations where you want to be able to interpret
potentially-adversarial OTPCL code (e.g. entered by users into a
web-facing application), since it prevents users from (intentionally
or otherwise) blowing out the Erlang runtime's limit on atoms. It's
also handy in general if you don't want OTPCL to be "clever" about
argument types, e.g. to reduce having to check for whether a version
number is an atom or float (e.g. 1.2 v. 1.2.0).
Note that any commands invoked while the interpreter is "stringy"
will receive strings instead of atoms/integers/floats as arguments;
the "stringy" interpreter deliberately makes zero attempt at
automatically converting arguments. OTPCL's builtin commands
generally try to be as forgiving as possible when it comes to
argument types (converting as necessary), but all bets are off if
you're calling Erlang functions as commands, or if you're calling
OTPCL commands written by someone else. It's very likely you'll
need to write your own wrappers for such functions rather than
relying on OTPCL's normal import
/use
commands.
Note also that all bets are off within commands/functions
themselves; just because the interpreter itself won't dynamically
create atoms doesn't mean the commands you're calling will extend
the same courtesy. For this reason, the "stringy" interpreter state
is deliberately barebones (only return
and |
), and it's up to
you to validate the safety of whatever commands you import into this
state.
Generated by EDoc


10 years in prison for driver in 2016 fatal hit and run on I-75
by WFTX Digital TeamLEE COUNTY, Fla. -- A Port Charlotte man will spend 10 years in prison for a deadly hit-and-run crash from 2016.
In November 2016, Ronald Bray was driving recklessly in the southbound lanes of Interstate 75 at mile marker 135. That's the Colonial Boulevard exit.
Bray swerved into the path of Brooke Fenton , causing her to swerve off the road and crash into a parked tractor trailer parked at the shoulder.
Bray then took off.
He was convicted for vehicular homicide, leaving the scene involving death, and reckless driving.
He will also serve five years of probation and pay restitution to Fenton's family. He must also do 100 hours of community service at a trauma center or a facility that deals with victims of car crashes.


module SimpleCov::Configuration
Attributes
Public Instance Methods
# File lib/simplecov/configuration.rb, line 144 def adapters warn "#{Kernel.caller.first}: [DEPRECATION] #adapters is deprecated. Use #profiles instead." profiles end
Add a filter to the processing chain. There are four ways to define a filter:
-
as a String that will then be matched against all source files' file paths,
SimpleCov.add_filter 'app/models' # will reject all your models
-
as a block which will be passed the source file in question and should either return a true or false value, depending on whether the file should be removed
SimpleCov.add_filter do |src_file| File.basename(src_file.filename) == 'environment.rb' end # Will exclude environment.rb files from the results
-
as an array of strings that are matched against all sorce files' file paths and then ignored (basically string filter multiple times)
SimpleCov.add_filter ['app/models', 'app/helpers'] # ignores both dirs
-
as an instance of a subclass of SimpleCov::Filter. See the documentation there on how to define your own filter classes
# File lib/simplecov/configuration.rb, line 275 def add_filter(filter_argument = nil, &filter_proc) filters << parse_filter(filter_argument, &filter_proc) end
Define a group for files. Works similar to #add_filter, only that the first argument is the desired group name and files PASSING the filter end up in the group (while filters exclude when the filter is applicable).
# File lib/simplecov/configuration.rb, line 284 def add_group(group_name, filter_argument = nil, &filter_proc) groups[group_name] = parse_filter(filter_argument, &filter_proc) end
Gets or sets the behavior to process coverage results.
By default, it will call SimpleCov.result.format!
Configure with:
SimpleCov.at_exit do puts "Coverage done" SimpleCov.result.format! end
# File lib/simplecov/configuration.rb, line 177 def at_exit(&block) return proc {} unless running || block_given? @at_exit = block if block_given? @at_exit ||= proc { SimpleCov.result.format! } end
The name of the command (a.k.a. Test Suite) currently running. Used for result merging and caching. It first tries to make a guess based upon the command line arguments the current test suite is running on and should automatically detect unit tests, functional tests, integration tests, rpsec and cucumber and label them properly. If it fails to recognize the current command, the command name is set to the shell command that the current suite is running on.
You can specify it manually with SimpleCov.command_name(“test:units”) - please also check out the corresponding section in README.rdoc
# File lib/simplecov/configuration.rb, line 81 def command_name(name = nil) @name = name unless name.nil? @name ||= SimpleCov::CommandGuesser.guess @name end
Allows you to configure simplecov in a block instead of prepending SimpleCov to all config methods you're calling.
SimpleCov.configure do add_filter 'foobar' end
This is equivalent to SimpleCov.add_filter 'foobar' and thus makes it easier to set a bunch of configure options at once.
# File lib/simplecov/configuration.rb, line 160 def configure(&block) return false unless SimpleCov.usable? Docile.dsl_eval(self, &block) end
The name of the output and cache directory. Defaults to 'coverage'
Configure with SimpleCov.coverage_dir('cov')
# File lib/simplecov/configuration.rb, line 29 def coverage_dir(dir = nil) return @coverage_dir if defined?(@coverage_dir) && dir.nil? @coverage_path = nil # invalidate cache @coverage_dir = (dir || "coverage") end
Returns the full path to the output directory using SimpleCov.root and SimpleCov.coverage_dir, so you can adjust this by configuring those values. Will create the directory if it's missing
# File lib/simplecov/configuration.rb, line 40 def coverage_path @coverage_path ||= begin coverage_path = File.expand_path(coverage_dir, root) FileUtils.mkdir_p coverage_path coverage_path end end
Returns the list of configured filters. Add filters using SimpleCov.add_filter.
# File lib/simplecov/configuration.rb, line 68 def filters @filters ||= [] end
Gets or sets the configured formatter.
Configure with: SimpleCov.formatter(SimpleCov::Formatter::SimpleFormatter)
# File lib/simplecov/configuration.rb, line 92 def formatter(formatter = nil) return @formatter if defined?(@formatter) && formatter.nil? @formatter = formatter raise "No formatter configured. Please specify a formatter using SimpleCov.formatter = SimpleCov::Formatter::SimpleFormatter" unless @formatter @formatter end
Gets the configured formatters.
# File lib/simplecov/configuration.rb, line 109 def formatters if @formatter.is_a?(SimpleCov::Formatter::MultiFormatter) @formatter.formatters else Array(formatter) end end
Sets the configured formatters.
# File lib/simplecov/configuration.rb, line 102 def formatters=(formatters) @formatter = SimpleCov::Formatter::MultiFormatter.new(formatters) end
Returns the configured groups. Add groups using SimpleCov.add_group
# File lib/simplecov/configuration.rb, line 133 def groups @groups ||= {} end
Defines the maximum coverage drop at once allowed for the testsuite to pass. SimpleCov will return non-zero if the coverage decreases by more than this threshold.
Default is 100% (disabled)
# File lib/simplecov/configuration.rb, line 235 def maximum_coverage_drop(coverage_drop = nil) @maximum_coverage_drop ||= (coverage_drop || 100).to_f.round(2) end
Defines the maximum age (in seconds) of a resultset to still be included in merged results. i.e. If you run cucumber features, then later rake test, if the stored cucumber resultset is more seconds ago than specified here, it won't be taken into account when merging (and is also purged from the resultset cache)
Of course, this only applies when merging is active (e.g. SimpleCov.use_merging is not false!)
Default is 600 seconds (10 minutes)
Configure with SimpleCov.merge_timeout(3600) # 1hr
# File lib/simplecov/configuration.rb, line 214 def merge_timeout(seconds = nil) @merge_timeout = seconds if seconds.is_a?(Integer) @merge_timeout ||= 600 end
Defines the minimum overall coverage required for the testsuite to pass. SimpleCov will return non-zero if the current coverage is below this threshold.
Default is 0% (disabled)
# File lib/simplecov/configuration.rb, line 225 def minimum_coverage(coverage = nil) @minimum_coverage ||= (coverage || 0).to_f.round(2) end
Defines the minimum coverage per file required for the testsuite to pass. SimpleCov will return non-zero if the current coverage of the least covered file is below this threshold.
Default is 0% (disabled)
# File lib/simplecov/configuration.rb, line 246 def minimum_coverage_by_file(coverage = nil) @minimum_coverage_by_file ||= (coverage || 0).to_f.round(2) end
Certain code blocks (i.e. Ruby-implementation specific code) can be excluded from the coverage metrics by wrapping it inside # :nocov: comment blocks. The nocov token can be configured to be any other string using this.
Configure with SimpleCov.nocov_token('skip') or it's alias SimpleCov.skip_token('skip')
# File lib/simplecov/configuration.rb, line 124 def nocov_token(nocov_token = nil) return @nocov_token if defined?(@nocov_token) && nocov_token.nil? @nocov_token = (nocov_token || "nocov") end
Returns the hash of available profiles
# File lib/simplecov/configuration.rb, line 140 def profiles @profiles ||= SimpleCov::Profiles.new end
Returns the project name - currently assuming the last dirname in the SimpleCov.root is this.
# File lib/simplecov/configuration.rb, line 187 def project_name(new_name = nil) return @project_name if defined?(@project_name) && @project_name && new_name.nil? @project_name = new_name if new_name.is_a?(String) @project_name ||= File.basename(root.split("/").last).capitalize.tr("_", " ") end
Refuses any coverage drop. That is, coverage is only allowed to increase. SimpleCov will return non-zero if the coverage decreases.
# File lib/simplecov/configuration.rb, line 254 def refuse_coverage_drop maximum_coverage_drop 0 end
The root for the project. This defaults to the current working directory.
Configure with SimpleCov.root('/my/project/path')
# File lib/simplecov/configuration.rb, line 19 def root(root = nil) return @root if defined?(@root) && root.nil? @root = File.expand_path(root || Dir.getwd) end
Coverage results will always include files matched by this glob, whether or not they were explicitly required. Without this, un-required files will not be present in the final report.
# File lib/simplecov/configuration.rb, line 53 def track_files(glob) @tracked_files = glob end
Returns the glob that will be used to include files that were not explicitly required.
# File lib/simplecov/configuration.rb, line 61 def tracked_files @tracked_files if defined?(@tracked_files) end
Defines whether to use result merging so all your test suites (test:units, test:functionals, cucumber, …) are joined and combined into a single coverage report
# File lib/simplecov/configuration.rb, line 197 def use_merging(use = nil) @use_merging = use unless use.nil? @use_merging = true unless defined?(@use_merging) && @use_merging == false end
Private Instance Methods
The actual filter processor. Not meant for direct use
# File lib/simplecov/configuration.rb, line 293 def parse_filter(filter_argument = nil, &filter_proc) filter = filter_argument || filter_proc if filter SimpleCov::Filter.build_filter(filter) else raise ArgumentError, "Please specify either a filter or a block to filter with" end end


Mobile : +1 2345 6789
Office : 0123 456 7890
Employee ID : (only for employee)
Email<EMAIL_ADDRESS>Location : Coimbatore
Date of Birth : 11 | 10 | 2014


Gateway
BOT
15-Jan-19 11:28 AM
[dscrdeql] <Combat Wombat> if an exchange doesn't have 2fa then thats just a joke
[dscrdeql] <Jellysmash> Anyway, I'm off to sleep.
[dscrdeql] <Jellysmash> Cya
[dscrdeql] <Combat Wombat> good night jelly hope your funds didn't get touched
[dscrdeql] <Combat Wombat> sleep well mate
[dscrdeql] <AndronicusBass-Founder> I've just been trying to find a specific yt video of a martin north and john adams discussion on bail in's. I will find it eventually and share it, If I forget, remind me. I have an early meeting in the morning so must get some rest and can take me a bit to wind down.
[dscrdeql] <Combat Wombat> night bass
[dscrdeql] <AndronicusBass-Founder> Night y'all


DISCONNECTED
Indicates that this Synchronizer is disconnected from its lightwalletd server. When set, a UI element may want to turn red.


if you're experiencing any issues or if you'd like yo speak with one of our customer servce representatives, please call or text<PHONE_NUMBER> Monday - Friday 8-am - 8pm EST and Saturdays from 8am -5pm EST. You can also email our team at support@exporecredit.com.


Singleton Pattern in Unity
Pattern is a popular term in Software Engineering. Many problems encountered when developing software, We can solve many of these problems with Patterns. There is 2 most common Pattern in Game Programming: Singleton and Object Pooling. I will introduce to Singleton Pattern with Unity(C#) in this post.
In Object Oriented Programming, each class can have multiple instances at the same time. Whatever, Singleton Class can only have single instance in the system. Usually Singletons are used to administrative tasks. For example Score Manager, Game Manager, Level Builder etc. So, Why we should use Singleton? Because, there should always be only one manager running. Else, objects don't know which instance to follow. There are a lot of ways to use Singleton in Unity. I choose the two ways of them.
- The First Way is for use to your Singleton Class only in Game Scene. Example as following;
using UnityEngine;
public class GameManager : MonoBehaviour
{
public static GameManager Instance = null;
void Awake()
{
if(Instance == null)
{
Instance = this;
}
else if(Instance != this)
{
//Your script is should be in gameobject. Because if gameobject is destroyed, your script is desroyed with.
Destroy(gameObject);
}
//if you will use singleton class in multiple scenes, you have to add this.
DontDestroyOnLoad(gameObject);
}
}
- The Second Way is for use to your Singleton Class in everywhere Editor, Game Scene etc. Example as following;
using UnityEngine;
public class LanguageManager : ScriptableObject
{
private static LanguageManager instance = null;
public static LanguageManager Instance
{
get
{
if (instance == null)
{
instance = CreateInstance<LanguageManager>();
}
return instance;
}
}
}


Kimberly Ly is a third year Computer Science major, with a special interest in security and AI/Data Mining. She hopes to attend graduate school at UCSD and then create a start up. In her spare time, she loves to climb rocks.


@bullishgentlemn Exactly! I'm definitely partial to @HyperDEXApp & @KomodoPlatform
with atomic swap powered DEXs, but every DEX fills a need along the spectrum of decentralization. CEXs have their place, but only if you don't give af about your money, privacy, or security...


help (en)
instructions
- click 'load file'
- select the .ptcop or .pttune you want played
- press play
features
views
- unit: one row for each unit, showing note presses. higher volume/velocity = brighter
- keyboard: piano roll. higher volume/velocity = brighter and more opaque
controls
- play, pause, stop: starts/resumes, pauses, stops the piece
- vol: controls master volume
- zoom-x: controls measure width scale
- zoom-y: controls key height scale in keyboard view
- snap: controls what the playhead offset snaps to
- 2x: doubles pixel zoom
- dark: disables background in keyboard view
unit settings
- left-click under : show/hide in keyboard view
- left-click under : pin/unpin unit at top of both views
- right-click under or when activated: change color


Today was my first Manchester Game Jam!
My friend recently got a Raspberry Pi and we’re looking to get something up and running on it, I managed to get a Virtual Box running with Debian Linux LXDE and briefly put something together following a tutorial written in Python. Being a front end developer, Python isn’t a language that I’m familiar with. With a tight deadline to create a game in just a few hours, at first I tried to write a game that would be text based, where the user could type out commands to interact with the game. I quickly found that this wasn’t going to be easy extending on the tutorial I found without much knowledge of Python.
Therefore I opted to stay with my strengths and although extremely simple compared to the other people at the jam, ended up with something I was happy with. My main reason for attending was to see what everyone was up to in the Manchester gaming scene, before going I knew I’d be way out of my depth. So rather than user input by typing I created a game map of possible scenarios and different paths the user could choose between. The theme of the game jam was ‘Traps’, my idea was that you awoke trapped in a mysterious place and had to escape.
We started at about 10:00 and finished at 16:30, we had a nice projector setup and everyone was invited to show off what they’d accomplished. Some people worked alone, some in small teams.
First up was an interesting game related to Trappist monks, it was a multiplayer game, that reminded me slightly of a really old game I wrote out from a magazine years and years ago called ‘Gate’ for the BBC. The game had a nice feature where if all players were near each other and simultaneously pressed a special key they chanted which I believe either killed or moved the enemy away allowing the monks to continue there quest to collect the beer packages dotted around the 2D maze like zone.
Keith O’Phobia was next up, sorry folks didn’t manage to get a photo of it I was too busy demoing it! (maybe someone can send me one and I’ll add it up). It was a platform game, with a character who could jump and avoid a menacing dog and move onto the next levels, the second level had a doctor throwing needles!
When I first came in, I was excited to see the progress of the next game shown. It was similar to Robot Wars, with traps to fall down and a ball with magnetised reactions. Unfortunately I think due to their software crashing the working prototype was lost, but here’s a shot of how it could have looked.
Next up was a capture the flag type game with traps dotted around the map, one character started on the left, one on the right and the aim was to capture your opponents flag and return it back to your own base being careful to avoid the traps dotted around the level.
‘It was a trap’ was a favourite of mine, really nice physics and JavaScript based using http://impactjs.com/. The idea was that the character was trapped and could spawn helpers that he could then jump on to escape.
Then we had a flying game, where you could fly upwards avoiding the enemies, or if you were skilful enough, grab hold of them and for bonus points whilst grabbing an enemy, throw it and hit another enemy. As well as this there was added ‘wind’ that added to the game’s difficulty and enemies with different patterns of movement as you got further towards the top making the game play increasingly difficult.
Next was half board game, half computer teamed game. A bit like battleships where you couldn’t see what each other were doing. The idea was for one opponent to get all their pieces from one side to another using the Makey Makey and the other opponent to stop them in their tracks by placing down traps.
The next game looked great with the shading and light, another platformer, where the goal was to get to a diamond somewhere on the level. At first it looked extremely difficult, I’m not sure if the blocks that fell were randomly generated, but it seemed some of the levels were a lot more difficult than others. Certain blocks fell down when you stood underneath them and arrows fired at you across the screen making for a fast paced game and quite a few ‘you died’ screens, but in a good way!
Dan who heads the Manchester Game Jam showed me a zombie based game that he’d taken inspiration from for his flash based game. The idea was that you were prompted with words that when typed out correctly would allow you to avoid the perimeters of the game and enemies that were floating around. Loved the ‘neon-ness’ of the graphics and the game worked seamlessly.
Last but no means least was my favourite game of the day. A combination between Crystal Maze and Mastermind. The game started off with an audio file detailing you of your first assignment. In front of the computer on the wall was a set of wires coming from the computer attached to buttons. Pressing each button generate Mastermind like hints to help you initiate the correct sequence. After this was accomplished a video was played detailing the next clue, then a counter started! Nice touch! The participant had to find the next clue and fast and not on screen but had to actually run up the madlab stairs! Luckily he did and found a key which when brought back down and opened the bicycle lock (mimicking a door lock) the final clue was given and you won.
If you’re interested, my somewhat feeble attempt can be found online here (watch out for Bruce Willis!).
Thanks again to all who game, had a great time!
Quick drink after in common bar, cheers!


BHAVCOPY BSE ANALYSIS
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Playing with Mahout’s Spark Shell
This tutorial will show you how to play with Mahout’s scala DSL for linear algebra and its Spark shell. Please keep in mind that this code is still in a very early experimental stage.
(Edited for 0.10.2)
Intro
We’ll use an excerpt of a publicly available dataset about cereals. The dataset tells the protein, fat, carbohydrate and sugars (in milligrams) contained in a set of cereals, as well as a customer rating for the cereals. Our aim for this example is to fit a linear model which infers the customer rating from the ingredients.
| Name | protein | fat | carbo | sugars | rating |
|---|---|---|---|---|---|
| Apple Cinnamon Cheerios | 2 | 2 | 10.5 | 10 | 29.509541 |
| Cap’n’Crunch | 1 | 2 | 12 | 12 | 18.042851 |
| Cocoa Puffs | 1 | 1 | 12 | 13 | 22.736446 |
| Froot Loops | 2 | 1 | 11 | 13 | 32.207582 |
| Honey Graham Ohs | 1 | 2 | 12 | 11 | 21.871292 |
| Wheaties Honey Gold | 2 | 1 | 16 | 8 | 36.187559 |
| Cheerios | 6 | 2 | 17 | 1 | 50.764999 |
| Clusters | 3 | 2 | 13 | 7 | 40.400208 |
| Great Grains Pecan | 3 | 3 | 13 | 4 | 45.811716 |
Installing Mahout & Spark on your local machine
We describe how to do a quick toy setup of Spark & Mahout on your local machine, so that you can run this example and play with the shell.
- Download Apache Spark 1.6.2 and unpack the archive file
- Change to the directory where you unpacked Spark and type
sbt/sbt assembly
to build it - Create a directory for Mahout somewhere on your machine, change to there and checkout the master branch of Apache Mahout from GitHub
git clone https://github.com/apache/mahout mahout
- Change to the
mahout
directory and build mahout usingmvn -DskipTests clean install
Starting Mahout’s Spark shell
- Goto the directory where you unpacked Spark and type
sbin/start-all.sh
to locally start Spark - Open a browser, point it to http://localhost:8080/ to check whether Spark successfully started. Copy the url of the spark master at the top of the page (it starts with spark://)
- Define the following environment variables: <pre class="codehilite">export MAHOUT_HOME=[directory into which you checked out Mahout] export SPARK_HOME=[directory where you unpacked Spark] export MASTER=[url of the Spark master]
</pre>
- Finally, change to the directory where you unpacked Mahout and type
bin/mahout spark-shell
, you should see the shell starting and get the promptmahout>
. Check FAQ for further troubleshooting.
Implementation
We’ll use the shell to interactively play with the data and incrementally implement a simple linear regression algorithm. Let’s first load the dataset. Usually, we wouldn’t need Mahout unless we processed a large dataset stored in a distributed filesystem. But for the sake of this example, we’ll use our tiny toy dataset and “pretend” it was too big to fit onto a single machine.
Note: You can incrementally follow the example by copy-and-pasting the code into your running Mahout shell.
Mahout’s linear algebra DSL has an abstraction called DistributedRowMatrix (DRM) which models a matrix that is partitioned by rows and stored in the memory of a cluster of machines. We use dense()
to create a dense in-memory matrix from our toy dataset and use drmParallelize
to load it into the cluster, “mimicking” a large, partitioned dataset.
val drmData = drmParallelize(dense( (2, 2, 10.5, 10, 29.509541), // Apple Cinnamon Cheerios (1, 2, 12, 12, 18.042851), // Cap'n'Crunch (1, 1, 12, 13, 22.736446), // Cocoa Puffs (2, 1, 11, 13, 32.207582), // Froot Loops (1, 2, 12, 11, 21.871292), // Honey Graham Ohs (2, 1, 16, 8, 36.187559), // Wheaties Honey Gold (6, 2, 17, 1, 50.764999), // Cheerios (3, 2, 13, 7, 40.400208), // Clusters (3, 3, 13, 4, 45.811716)), // Great Grains Pecan numPartitions = 2);
Have a look at this matrix. The first four columns represent the ingredients
(our features) and the last column (the rating) is the target variable for
our regression. Linear regression
assumes that the target variable \(\mathbf{y}\)
is generated by the
linear combination of the feature matrix \(\mathbf{X}\)
with the
parameter vector \(\boldsymbol{\beta}\)
plus the
noise \(\boldsymbol{\varepsilon}\)
, summarized in the formula
\(\mathbf{y}=\mathbf{X}\boldsymbol{\beta}+\boldsymbol{\varepsilon}\)
.
Our goal is to find an estimate of the parameter vector
\(\boldsymbol{\beta}\)
that explains the data very well.
As a first step, we extract \(\mathbf{X}\)
and \(\mathbf{y}\)
from our data matrix. We get X by slicing: we take all rows (denoted by ::
) and the first four columns, which have the ingredients in milligrams as content. Note that the result is again a DRM. The shell will not execute this code yet, it saves the history of operations and defers the execution until we really access a result. Mahout’s DSL automatically optimizes and parallelizes all operations on DRMs and runs them on Apache Spark.
val drmX = drmData(::, 0 until 4)
Next, we extract the target variable vector y, the fifth column of the data matrix. We assume this one fits into our driver machine, so we fetch it into memory using collect
:
val y = drmData.collect(::, 4)
Now we are ready to think about a mathematical way to estimate the parameter vector β. A simple textbook approach is ordinary least squares (OLS), which minimizes the sum of residual squares between the true target variable and the prediction of the target variable. In OLS, there is even a closed form expression for estimating \(\boldsymbol{\beta}\)
as
\(\left(\mathbf{X}^{\top}\mathbf{X}\right)^{-1}\mathbf{X}^{\top}\mathbf{y}\)
.
The first thing which we compute for this is \(\mathbf{X}^{\top}\mathbf{X}\)
. The code for doing this in Mahout’s scala DSL maps directly to the mathematical formula. The operation .t()
transposes a matrix and analogous to R %*%
denotes matrix multiplication.
val drmXtX = drmX.t %*% drmX
The same is true for computing \(\mathbf{X}^{\top}\mathbf{y}\)
. We can simply type the math in scala expressions into the shell. Here, X lives in the cluster, while is y in the memory of the driver, and the result is a DRM again.
val drmXty = drmX.t %*% y
We’re nearly done. The next step we take is to fetch \(\mathbf{X}^{\top}\mathbf{X}\)
and
\(\mathbf{X}^{\top}\mathbf{y}\)
into the memory of our driver machine (we are targeting
features matrices that are tall and skinny ,
so we can assume that \(\mathbf{X}^{\top}\mathbf{X}\)
is small enough
to fit in). Then, we provide them to an in-memory solver (Mahout provides
the an analog to R’s solve()
for that) which computes beta
, our
OLS estimate of the parameter vector \(\boldsymbol{\beta}\)
.
val XtX = drmXtX.collect val Xty = drmXty.collect(::, 0) val beta = solve(XtX, Xty)
That’s it! We have a implemented a distributed linear regression algorithm on Apache Spark. I hope you agree that we didn’t have to worry a lot about parallelization and distributed systems. The goal of Mahout’s linear algebra DSL is to abstract away the ugliness of programming a distributed system as much as possible, while still retaining decent performance and scalability.
We can now check how well our model fits its training data.
First, we multiply the feature matrix \(\mathbf{X}\)
by our estimate of
\(\boldsymbol{\beta}\)
. Then, we look at the difference (via L2-norm) of
the target variable \(\mathbf{y}\)
to the fitted target variable:
val yFitted = (drmX %*% beta).collect(::, 0) (y - yFitted).norm(2)
We hope that we could show that Mahout’s shell allows people to interactively and incrementally write algorithms. We have entered a lot of individual commands, one-by-one, until we got the desired results. We can now refactor a little by wrapping our statements into easy-to-use functions. The definition of functions follows standard scala syntax.
We put all the commands for ordinary least squares into a function ols
.
def ols(drmX: DrmLike[Int], y: Vector) = solve(drmX.t %*% drmX, drmX.t %*% y)(::, 0)
Note that DSL declares implicit collect
if coersion rules require an in-core argument. Hence, we can simply
skip explicit collect
s.
Next, we define a function goodnessOfFit
that tells how well a model fits the target variable:
def goodnessOfFit(drmX: DrmLike[Int], beta: Vector, y: Vector) = { val fittedY = (drmX %*% beta).collect(::, 0) (y - fittedY).norm(2) }
So far we have left out an important aspect of a standard linear regression
model. Usually there is a constant bias term added to the model. Without
that, our model always crosses through the origin and we only learn the
right angle. An easy way to add such a bias term to our model is to add a
column of ones to the feature matrix \(\mathbf{X}\)
.
The corresponding weight in the parameter vector will then be the bias term.
Here is how we add a bias column:
val drmXwithBiasColumn = drmX cbind 1
Now we can give the newly created DRM drmXwithBiasColumn
to our model fitting method ols
and see how well the resulting model fits the training data with goodnessOfFit
. You should see a large improvement in the result.
val betaWithBiasTerm = ols(drmXwithBiasColumn, y) goodnessOfFit(drmXwithBiasColumn, betaWithBiasTerm, y)
As a further optimization, we can make use of the DSL’s caching functionality. We use drmXwithBiasColumn
repeatedly as input to a computation, so it might be beneficial to cache it in memory. This is achieved by calling checkpoint()
. In the end, we remove it from the cache with uncache:
val cachedDrmX = drmXwithBiasColumn.checkpoint() val betaWithBiasTerm = ols(cachedDrmX, y) val goodness = goodnessOfFit(cachedDrmX, betaWithBiasTerm, y) cachedDrmX.uncache() goodness
Liked what you saw? Checkout Mahout’s overview for the Scala and Spark bindings.


OPUS DEI PRELATURE
|
February |
13 |
Bishop (Memorial, In |
|
|
|
14 |
(Feast) |
|
|
May |
2 |
(Feast, In the Prelatic
Church: Solemnity) |
|
|
June |
26 |
Priest and Founder (Solemnity) |
|
|
September |
14 |
(Feast) |
|
|
October |
2 |
(Solemnity) |


To give some background, I have been on the following drugs; Adderall, Ritalin, Focalin,provigll,Staterra, Paxil , Lexapro , prozac , abilify and ambien, Iíd also like to note, that I am only 18.
I have quite an extensive experience with many of the effects of various meds. My difficult experiences on these drugs have led me to almost obsessively learn about drugs and their effects, I do this in hopes of maybe reversing the permanent damage I seem to have inflicted due to these drugs.
Sometime in the middle of 8th grade I was prescribed the drug adderall. My mom was attempting to correct my problems in school. I was forgetful, disorganized, spacey, and it was extremely difficult for me to sit down and do my homework. I was not the stereotypical *off the wall* ADHD child, I had self control in that respect, I just had the general focus problems I listed.
So with me being essentially indifferent about the situation, I callously took that blue pill for the first time and went off to school. I started noticing that I was feeling really *good* during my first period class, for whatever reason, I never correlated it to the drug though. I thought the drug was just suppose to make me concentrate better and thatís it, I really didnít expect euphoria. I was really ignorant of the drugs effects, I just figured I really liked my 1st period class, since I was intensely interested in every word that tall, long necked man was saying, nope I never attributed the *happy feeling* to the drug.
So I was on ten milligrams of adderall and everything was going fine. The only side effect I seemed to exhibit ( I didnĎt even think this was the drug either I just thought I was crazy) was this vocal tick, where I would feel forced to make this weird noise, it was almost like an Obsessive Compulsive thing. People thought I was weird, they thought I was nuts, but oh well, I was focused and more productive, and really didnít even notice being on the drug.
This successful trial of the drug, was quickly ended. What was about to happen was going to set a horrible chain reaction resulting in me going through the trial of 8 other psychotropic drugs, it was in direct relation to the psychiatrist's next move.
The psychiatrist thought itíd be a good idea to raise the dose from 10-20 mg, this apparently changed everything. My body had a limit, 10 mg was sufficient, it just couldnít tolerate 20. With 20, of course came noticeable side effects such as the *crash* which is one of the most unpleasant things I have ever experienced, but the main problem was my ability to tolerate problems and stress.
The adderall would amplify every situation 1000 times, it would make the most minor issue seem like a catastrophe, it would result in me ruminating endlessly about many things that just made me feel crappy. It was soon enough that I got myself in a significant enough quandary, to make my mood just flip out. I got in a fight with a good friend, and felt terrible afterwards. I felt that weíd never talk again, and since he was one of the few friends I had, thatíd be a pretty big blow. After this happened I was over analyzing everything, and looking at things from the worst possible point of view, I was irrational, the drug was making me over emotional, and this resulted in me going into a depression.
I waited a few days after the incident, made amends with my friend, but I was still sad. I eventually told my mom about my low mood and even she thought it was related to the adderall increase, since I became depressed about 4 days after the dose was increased. I stopped the adderall, but the depression was still there, it had already been triggered, and I needed a way out. It was then, I was prescribed Paxil..
With Paxil, I had pretty much the same attitude that I had with the adderall. I just thought ďthis will make me feel betterĒ and took it, I didnít study up on it, I trusted doctors, they knew what they were doing, I felt I had support from my family, and that I could get through this. After about being on 10 mgís of Paxil for a couple weeks I saw no change in mood. Then came the increase, it was increased to 20 mg. On 20 mg of paxil I started noticing effects.  I was doing things I never did before like, speaking out in class. I am going to list the effects I initially had on paxil.
Fast speech
I was more articulate then ever
More creative, witty
More talkative
Became interested in more sophisticated topics.
Amused easier, smiled a lot.
The paxil seemed to induce a borderline hypomania, it was no problem though, no one really noticed, not even my closest friends. They just noticed I was telling more jokes, more talkative, and much more fun to be around, I started getting invited out more, everything was cool.
Then all the life was sucked out of me.
I canít pin-point when this happened, I just remember I was concerned what the drug was doing to me. The hypomania stuff seemed to be going away, and I felt as though my identity was being sucked out of me. I just didn't feel the same. I was deathly scared that Iíd be like this forever. Here were my side effects, that manifested themselves after being on paxil for about a year and a half.
Slow Thinking- I would often talk to a person, and my thoughts seemed to be going in slow motion. Theyíd often ask me something or say something and Iíd think of what I wanted to say back minutes later, when it was to late, this happens constantly today. ( never happened before the meds, Iíd like to STRESS)
No personality- I can't seem to relate to people anymore. I donít seem to have anything to say anymore, or when I do itís to late. Me and my best friend use to talk for hours on the phone. Now were lucky to draw out a 15 minute conversation
Typical side effectsÖ.
No motivation - I use to have many passions, these have all been stricken from me.
No emotion - no emotion, I think that ties into no motivation as well.
Horrible memory- I am lucky to have a normal conversation these days, itís a daily obstacle. My head is scrambled. I canít even remember other stuff.
Of course when experiencing this, I tried to get off the meds, but I had the following problems. When I came off the SSRIíS my personality became even duller I couldnít articulate my thoughts, Iíd often phrase sentences the wrong way, like for instance * I have gum on my shoe* Iíd say * Gum have I on my shoe* ( thatís a terrible example actually) I felt so slow, and incoherent.
( Iíd like to note, that upon coming off the paxil, I felt a period of normalcy. It was when the drug was depleting from my system, I thought my old self was returning. But that just lasted briefly)
So, trying to rationalize this situations and steer it * away * from the possibility of brain damage, I convinced myself that, the paxil just stopped working ( which it can) and I just became depressed again, ( even though, I really didnít feel depressed) I looked endlessly over the internet trying to validate my theory, looking to see if depression can be the cause of what I was experiencing, I talked to my psychiatrist, and he pretty much laughed when I floated the possibility of brain damage, thatís it, itís depression again. I decided Iíll just go on another SSRI, and Iíll be fine.
This started my trial of lexapro. When the Lexapro climbed in my system I felt like the old me again.. But when the dose stabilized, I felt unmotivated, emotionless, all the side effects returned. The only time when I feel any sense of normalcy is when I increase or decrease the dose suddenly. I feel somewhat normal, but only brieflyÖ but it really isnít a sure fire thingÖ I just play around with the dosage and Iíll get a few ok days.
In this space is years of me complaining about the drugs, talking to the psych, my therapist. None of this resolved anything
So here I am, I am 18 years old, and I feel as if my identity has been visiously stolen from me, I just don't feel like who I originally was nor do I think I ever will, I believe I have changed for the worse, and these changes will effect me down the road as my ability to relate to people has been impaired. I would give anything to set my chemistry right again, I would do anything to be myself again.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


First launch the installer by typing, "installer" in start menu
Step 1: On the welcome page
Language selection
Select your desired Language for installation form the dropdown list.
Step 2: Timezone selection
Location and Timezone
Select your Region and Zone for the Timezone. You can also change the language for dates and numbers by clicking change button.
Step 3: Keyboard selection
Keyboard model selection.
Select the keyboard model avaliable to you. Select writing language.
Step 4: Partitions
Make Partitions
Select appropriate settings and create required partitons.
Step 5: Create crediatials
Create users and Administrator account.
Create user IDs by filling the required details.
Step 6: Summary Page
Installation summary
This page contains summary of all settings done in privious page.
Step 7: Final installation
Unpacking and installation.
Extraction and unpacking of required files for commplete installation.
Step 8: Finish Page
Installation finished.
TCET LINUX is installed in the system. Restart to run.


the simplest modal you ever did see. – Code on GitHub »
rel="modal:open"
and set the href
attribute to the modal's DOM id.<!DOCTYPE html>

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qiskit.backends.local.qasm_simulator_cpp module¶
Interface to C++ quantum circuit simulator with realistic noise.
Members¶
Classes¶
CliffordSimulatorCpp |
„C++ Clifford circuit simulator with realistic noise. |
QASMSimulatorDecoder |
JSON decoder for the output from C++ qasm_simulator. |
QASMSimulatorEncoder |
JSON encoder for NumPy arrays and complex numbers. |
QasmSimulatorCpp |
C++ quantum circuit simulator with realistic noise |
Functions¶
_generate_coherent_error_matrix |
Generate U_error matrix for CX and X90 gates. |
cx_error_matrix |
Return the coherent error matrix for CR error model of a CNOT gate. |
run |
Run simulation on C++ simulator inside a subprocess. |
x90_error_matrix |
Return the coherent error matrix for a X90 rotation gate. |
Reference¶
-
class
qiskit.backends.local.qasm_simulator_cpp.
CliffordSimulatorCpp
(configuration=None)[Quellcode]¶ Bases:
qiskit.backends.basebackend.BaseBackend
„C++ Clifford circuit simulator with realistic noise.
-
DEFAULT_CONFIGURATION
= {'basis_gates': 'cx,id,x,y,z,h,s,sdg,snapshot,wait,noise,save,load', 'coupling_map': 'all-to-all', 'description': 'A C++ Clifford simulator with approximate noise', 'local': True, 'name': 'local_clifford_simulator_cpp', 'simulator': True, 'url': 'https://github.com/QISKit/qiskit-terra/src/qasm-simulator-cpp'}¶
-
run
(qobj)[Quellcode]¶ Run a Qobj on the backend.
Parameter: qobj (dict) – job description Rückgabe: derived from BaseJob Rückgabetyp: LocalJob
-
-
class
qiskit.backends.local.qasm_simulator_cpp.
QASMSimulatorDecoder
(*args, **kwargs)[Quellcode]¶ Bases:
json.decoder.JSONDecoder
JSON decoder for the output from C++ qasm_simulator.
This converts complex vectors and matrices into numpy arrays for the following keys.
-
object_hook
(obj)[Quellcode]¶ Special decoding rules for simulator output.
-
-
class
qiskit.backends.local.qasm_simulator_cpp.
QASMSimulatorEncoder
(skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)[Quellcode]¶ Bases:
json.encoder.JSONEncoder
JSON encoder for NumPy arrays and complex numbers.
This functions as the standard JSON Encoder but adds support for encoding:
- complex numbers z as lists [z.real, z.imag]
- ndarrays as nested lists.
Constructor for JSONEncoder, with sensible defaults.
If skipkeys is false, then it is a TypeError to attempt encoding of keys that are not str, int, float or None. If skipkeys is True, such items are simply skipped.
If ensure_ascii is true, the output is guaranteed to be str objects with all incoming non-ASCII characters escaped. If ensure_ascii is false, the output can contain non-ASCII characters.
If check_circular is true, then lists, dicts, and custom encoded objects will be checked for circular references during encoding to prevent an infinite recursion (which would cause an OverflowError). Otherwise, no such check takes place.
If allow_nan is true, then NaN, Infinity, and -Infinity will be encoded as such. This behavior is not JSON specification compliant, but is consistent with most JavaScript based encoders and decoders. Otherwise, it will be a ValueError to encode such floats.
If sort_keys is true, then the output of dictionaries will be sorted by key; this is useful for regression tests to ensure that JSON serializations can be compared on a day-to-day basis.
If indent is a non-negative integer, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0 will only insert newlines. None is the most compact representation.
If specified, separators should be an (item_separator, key_separator) tuple. The default is (‚, ‚, ‚: ‚) if indent is
None
and (‚,‘, ‚: ‚) otherwise. To get the most compact JSON representation, you should specify (‚,‘, ‚:‘) to eliminate whitespace.If specified, default is a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a
TypeError
.-
default
(obj)[Quellcode]¶ Implement this method in a subclass such that it returns a serializable object for
o
, or calls the base implementation (to raise aTypeError
).For example, to support arbitrary iterators, you could implement default like this:
def default(self, o): try: iterable = iter(o) except TypeError: pass else: return list(iterable) # Let the base class default method raise the TypeError return JSONEncoder.default(self, o)
-
class
qiskit.backends.local.qasm_simulator_cpp.
QasmSimulatorCpp
(configuration=None)[Quellcode]¶ Bases:
qiskit.backends.basebackend.BaseBackend
C++ quantum circuit simulator with realistic noise
-
DEFAULT_CONFIGURATION
= {'basis_gates': 'u0,u1,u2,u3,cx,cz,id,x,y,z,h,s,sdg,t,tdg,rzz,snapshot,wait,noise,save,load', 'coupling_map': 'all-to-all', 'description': 'A C++ realistic noise simulator for qobj files', 'local': True, 'name': 'local_qasm_simulator_cpp', 'simulator': True, 'url': 'https://github.com/QISKit/qiskit-terra/src/qasm-simulator-cpp'}¶
-
run
(qobj)[Quellcode]¶ Run a qobj on the backend.
-
-
qiskit.backends.local.qasm_simulator_cpp.
_generate_coherent_error_matrix
(config)[Quellcode]¶ Generate U_error matrix for CX and X90 gates.
Parameter: config (dict) – the config of a qobj circuit This parses the config for the following noise parameter keys and returns a coherent error matrix for simulation coherent noise:
* 'CX' gate: 'calibration_error', 'zz_error' * 'X90' gate: 'calibration_error', 'detuning_error'
-
qiskit.backends.local.qasm_simulator_cpp.
cx_error_matrix
(cal_error, zz_error)[Quellcode]¶ Return the coherent error matrix for CR error model of a CNOT gate.
Parameter: - cal_error (double) – calibration error of rotation
- zz_error (double) – ZZ interaction term error
Rückgabe: A coherent error matrix U_error for the CNOT gate.
Rückgabetyp: numpy.ndarray
Details:
- The ideal cross-resonsance (CR) gate corresponds to a 2-qubit rotation
- U_CR_ideal = exp(-1j * (pi/2) * XZ/2)
where qubit-0 is the control, and qubit-1 is the target. This can be converted to a CNOT gate by single-qubit rotations:
U_CX = U_L * U_CR_ideal * U_R
- The noisy rotation is implemented as
- U_CR_noise = exp(-1j * (pi/2 + cal_error) * (XZ + zz_error ZZ)/2)
- The retured error matrix is given by
- U_error = U_L * U_CR_noise * U_R * U_CX^dagger
-
qiskit.backends.local.qasm_simulator_cpp.
run
(qobj, executable)[Quellcode]¶ Run simulation on C++ simulator inside a subprocess.
Parameter: - qobj (dict) – qobj dictionary defining the simulation to run
- executable (string) – filename (with path) of the simulator executable
Rückgabe: A dict of simulation results
Rückgabetyp: dict
-
qiskit.backends.local.qasm_simulator_cpp.
x90_error_matrix
(cal_error, detuning_error)[Quellcode]¶ Return the coherent error matrix for a X90 rotation gate.
Parameter: - cal_error (double) – calibration error of rotation
- detuning_error (double) – detuning amount for rotation axis error
Rückgabe: A coherent error matrix U_error for the X90 gate.
Rückgabetyp: numpy.ndarray
Details:
- The ideal X90 rotation is a pi/2 rotation about the X-axis:
- U_X90_ideal = exp(-1j (pi/2) X/2)
- The noisy rotation is implemented as
- U_X90_noise = exp(-1j (pi/2 + cal_error) (cos(d) X + sin(d) Y)/2)
where d is the detuning_error.
- The retured error matrix is given by
- U_error = U_X90_noise * U_X90_ideal^dagger