I’m A Celebrity’s Stanley Johnson makes dig at women for crying in jungle
I’m A Celebrity alum Stanley Johnson has made a huge dig at Jacqueline Jossa and Kate Garraway for getting emotional in the jungle.
During Thursday night’s instalment, the pair were seen tearing up as they discussed how much they were missing their children, four days after the show started.
And Boris Johnson’s dad is having absolutely none of it.
During an appearance on Loose Women, he told the panel: ‘I do wonder about the question of people getting teary when they’re missing their children. Women seem to do it…
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‘You signed up to go off to the jungle for four or five weeks…’
When Jane Moore reminded him that he became visibly emotional when receiving a poem from his wife, he added: ‘I teared up for half a second.’
Stanley’s words come after Jacqueline broke down in tears on Thursday, admitting she was homesick and missing daughters Ella and Mia, as well as husband Dan Osborne.
Heading to the bush telegraph, she said: ‘I just woke up feeling a bit like “mmmm” when you’re just looking up at pure Jungle and you think, “wow, I’m so far away from home.”
‘The thing is, everyone is missing their families, I just feel like it’s too soon to be crying missing your family…and we all smell so bad, we just stink, I stink.
‘The smelliest I’ve ever been in my life.’
It was up to Ian Wright to comfort the EastEnders actress, reassuring her that everything was okay.
‘She misses her kids which is natural, she misses her husband, everything like that,’ he told the camera afterwards.
Kate Garraway later explained she was also missing her family, getting emotional as she could no longer ‘remember what their heads smelled like’.
They were then joined by Caitlyn Jenner, who opened up about life with her famous family.
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‘My kids all call me dad, Kendall asked me first and I said, “dad”,’ she explained.
‘I’m your dad and I’ll always be your dad till the day I die.
‘But what they’re really good at which shocks me all the time is when they’re talking about me, [they say] “my dad, she”, and it’s tough to change the pronoun in the middle of it.
‘Bruce raised them and Caitlyn is enjoying their life with them.’
Loose Women continues on weekdays, at 12.30, on ITV.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Before Change
sparse))
// Wait for processes to complete and store results
pool.close()
pool.join()
ids = ids_result.get()
classes = classes_result.get()
features, feat_vectorizer = features_result.get()
After Change
// memory (even though this requires reading the file multiple times).
// Do this using a process pool so that we can clear out the temporary
// variables more easily and do these in parallel.
if MAX_CONCURRENT_PROCESSES == 1:
ids = _ids_for_gen_func(example_gen_func, path, ids_to_floats)
classes = _classes_for_gen_func(example_gen_func, path, tsv_label)
features, feat_vectorizer = _features_for_gen_func(example_gen_func,
path, quiet, sparse)
else:
pool = Pool(min(3, MAX_CONCURRENT_PROCESSES))
ids_result = pool.apply_async(_ids_for_gen_func,
args=(example_gen_func, path,
ids_to_floats))
classes_result = pool.apply_async(_classes_for_gen_func,
args=(example_gen_func, path,
tsv_label))
features_result = pool.apply_async(_features_for_gen_func,
args=(example_gen_func, path, quiet,
sparse))
// Wait for processes to complete and store results
pool.close()
pool.join()
ids = ids_result.get()
classes = classes_result.get()
features, feat_vectorizer = features_result.get()
return ExamplesTuple(ids, classes, features, feat_vectorizer)
def convert_examples(example_dicts, sparse=True, ids_to_floats=False):


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Guidance
Information about the Funding Information System (FIS), to help further education (FE) providers validate ILR data.
PDF , 917KB , 16 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
MS Excel Spreadsheet , 15.1MB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
MS Excel Spreadsheet , 144KB
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MS Excel Spreadsheet , 142KB
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MS Excel Spreadsheet , 139KB
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PDF , 308KB , 25 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 152KB , 23 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 948KB , 24 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 392KB , 13 pages
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MS Excel Spreadsheet , 55.2KB
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MS Excel Spreadsheet , 266KB
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PDF , 93.8KB , 5 pages
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PDF , 355KB , 8 pages
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PDF , 276KB , 35 pages
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PDF , 274KB , 16 pages
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PDF , 307KB , 10 pages
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PDF , 109KB , 11 pages
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PDF , 255KB , 28 pages
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PDF , 1.23MB , 57 pages
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FIS is one of a number of software packages freely available to further education providers, to assist with preparing ILR data files prior to submission. It can be used by colleges, training organisations, local authorities and employers (FE providers) to:
It also replaces Provider Online (POL) and allows providers with a small number of learners to submit individual learner records by hand for the academic year 2013 to 2014.
An ILR learner entry tool is available for download. This software is supplied free of charge to providers who will submit ILR data to the Skills Funding Agency but who do not have access to a data management system. It is optional to use ILR Learner Entry to prepare data files prior to submission to the Skills Funding Agency’s data collection portal. There are now two versions of the software available, one for the funding year 2014 to 2015 and a new version for the funding year 2015 to 2016. You will need to ensure that you are using the version for the correct academic year as the new version has been updated to reflect the ILR changes.
You can download the ILR learner entry tool from the useful links area on the front page of the Hub. The 2015 to 2016 user guide is available on GOV.UK .
Click on the Individualised Learner Record (ILR) collections link below for more ILR topics.
Published: 25 February 2014
Updated: 14 March 2017
From: Skills Funding Agency


As an educator with a background in psychology, I know that curiosity and motivation are the keys to growing and expanding your skills. When I moved to Japan to study Japanese, it opened up a lot of opportunities and growth.
I’ve long been driven by love of learning and doing something that challenges me and pushing myself to the edge of my abilities as I always want to prove that I can do things that I set my mind into. Hence I enrolled at Flatiron School and ventured into coding.
With a solid foundation in Ruby and Javascript and other web frameworks like React, I’m currently looking for a software engineering role that will help me feed my curiosity and challenge me out of my comfort zone. I’m looking forward to this new chapter that will give me an opportunity to hone my skills and continue the love of coding that has been ignited.
©2020 Khris Punzalan


from the good-deals-on-cool-stuff dept
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|
TestApplication |
The default constructor for a new Test Application |
|
~TestApplication |
The default destructor for a Test Application |
Application Execution and Control
|
LaunchApplication |
Launches an application that is not currently running |
|
AttachApplication |
Attaches to an application that is currently running |
|
LaunchService |
Launches a service that is not currently running |
|
AttachService |
Attaches to a service that is currently running |
|
PauseApplication |
Pauses the execution of the application |
|
ResumeApplication |
Resumes a paused application |
|
TerminateApplication |
Terminates execution of the application |
|
GetApplicationProcessID |
Returns the ProcessID of the currently running application |
|
GetApplicationThreadID |
Returns the ThreadID of the currently running thread |
|
SetUseProcessChaining |
Enable or disable Process Chaining in the current application |
|
SetDotNetLibraryInitList |
Set an external .NET library list |
|
EnableFunctionLogging |
Enable function logging of the function name in the specified category |
|
DisableFunctionLogging |
Disable function logging of the function name in the specified category |
|
SetMaximumDiskUsage |
Sets the maximum disk usage limit for the application |
|
SetMaximumMemoryUsage |
Sets the maximum memory usage limit for the application |
|
SetNetworkUploadSpeed |
Sets the maximum network upload speed limit for the application |
|
SetNetworkDownloadSpeed |
Sets the maximum network download speed limit for the application |
|
InjectFault |
Inject the specified fault to the target thread |
|
RemoveFault |
Remove the specified fault from the target thread |
|
InterceptFunction |
Intercepts a function and replaces with the replacement function |


Rise of the
State of the Vapes
Mapping the growth of Vape shops in Virginia
with Mapbox GL
sift through the cloudy haze of vapor* ( or just zoom in )
over Virginia and explore.
*clouds denote concentration of vape shops
raw numbers of shops opened by year below
thanks Waldo for liberating
the data via vabusinesses.org
Read More About This Map
by Jonah Adkins


Issues in Tech: Agriculture
Jan 24, 2016
Today I'd like to write about something that perhaps isn't unique to the tech industry, but something which is forcing the tech industry to adapt and take part in nonetheless. Agriculture and agrotechnology is something which is very near to my heart, and I want to discuss some of the things that make it an important issue for businesses seeking technological innovation.
First, let me rattle off some statistics taken directly from the UN's World Food Programme. Roughly 13% of the world population is undernourished. This means that their food intake is too low to allow for healthy living. This percentage equates to almost 800 million people worldwide (⅔ of whom are in Asia). Of this 13%, almost 25% live in sub-Saharan Africa. This region has the highest prevalence (percent of overall population) of undernourishment. Poor nutrition accounts for almost half of infant deaths (less than 5 years old) worldwide.
Now there are many reasons for the prevalence and locations of worldwide food shortages, but I want to reduce this down to just two: population density and availability of fertile land. These issues look pretty different on the surface, but they're really quite similar. In the areas with too little food for the population, there are either too many people per square acre of viable farmland, or there is too little farmland to feed the local populace.
This brings me to my point: agricultural technology.
There have recently been big strides made in the realms of hydroponics, renewable farming, and heightened food productivity, and the more we understand the science of agriculture the more we understand that technology can (and will) change the landscape of food production.
I want to bring your attention to Mirai, INC., a Japanese aquaculture company founded in 2005. In 2014, Mirai opened a brand-new hydroponic farm in an abandoned sony building, and has been flooding the news with its breakthroughs since. Because of their use of physiologist, engineers, and some clever computer programming, they have been able to create a process to grow food almost completely autonomously. Even more impressive, is this production facility uses around 99% less water than commercial farms, and produces food 250% faster, 100 times denser (100x food production per square foot), and uses 40% less electricity than its competitors (other Japanese hydro farms).
And Mirai is far from the only company making headway to solve the world food shortage. The Granpa Dome (also in Japan) uses computer technology and clever engineering to create a self-sustaining rotating plant bed that changes the spectrum of light, nutrients in the water, and position of the plants automatically to encourage plants to grow quicker and larger than they wood in a traditional farm.
My hope is that in the next ten years we will be able to solve the problems of location and population density as they cause food supply problems, as we are on the verge of smart farms that can be placed in any climate, or that take up very little room in a city, that can produce the local foods of a region. With some smart design and programming, farming is changing every year, and I can't wait to see what happens next.


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My apologies, by Mitchell…
I brought you to this website to account for the multitude of thoughts I had and wished I said during our meet up. After which may potentially be the last opportunity to express our feelings; I had things I wanted to tell you and felt helpless that I couldn’t. So therefore, I developed a way to display (or save for later) the thoughts that my mind has of you; knowing that you have access to see them.
Since leaving Wegmans, I’ve been re-struck with the obsession I’ve always had for you; which I’ve done a damn good job at masking to myself during these past 3 months. Many topics were not introduced at the table- which was my fault because I was in total starstruck that I was sitting across from you. Leading up to us meeting, I had no intentions of persuading you to reconsider our relationship. But after leaving- I’m ready to take on the lead role in rebuilding our relationship, no matter the distance that gets recovered. My mind has been haunted by you ever since I’ve left the Wegmans. So, I resorted to relieving the pain the same way I did when we broke up; by designing a website. Going back to our breakup, I’ve been able to reason with myself that I put my best effort out there by utilizing technology which I have love and passion for (even though you’ve probably felt it more than JavaScript has); and the challenge of finishing the website brought me to realization that everything will be alright in life, no matter the fact that I failed to keep you.
I know there is no better way of sorting out our problems other than being in person; but I have developed this website to tell myself that I put my best effort out there in calming my emotions and saying what I need to. Anytime a thought of you comes into my head, I can write it down and decide whether to show you or to wait for a different time to display- and that alone makes me feel a lot better that my voice is still being heard. A website isn’t going to fix the damage that I caused in February - but it’s my best way of showing off some things that I’ve been learning these past 3 months. I’m still that same ole me, the guy with drive and ambition; and I’m starting to learn how passion drives me to to sit down for an extra 5 hours just to continue coding this website. Its something that I’ve never felt before, and by seeing you still hurt by the pain I put you through months ago makes it selfish for me to not act. I’m not ready to move on from you, and I got the vibe that you weren’t either. I want to be there to continue building your confidence and to be the person you deserve. If you are willing to work with me, I’m ready to sit down again and lead the conversation on how I plan on rebuilding what has been lost.


Welcome to Minecraft web edition!
Play yourself alone.hmm...not a fun thing
Play with your friends ...an excelent idea


---
layout: equivalence
---
Open and Closed
A set $X\subseteq\mathbb{R}^n$ is open if and only if its complement $X'=\{\vec{x}\in\mathbb{R}^n, \vec{x}\notin X\}$ is closed.
Concepts
Coming soon
If
Coming soon
Only If
Coming soon
Proof
Coming soon
Related
Coming soon


Anything can go wrong, does.
Có năng khiếu nghĩa là chưa có gì, tài ba chẳng qua là trò con trẻ, chỉ có nghiêm túc mới thành người và chăm chỉ mới tạo nên những bậc vĩ nhân.
Software changes are inevitable because there are many factors that change during the life cycle of a piece of software. Some of these factors include: Requirement changes.
Verification and validation (V&V) is the process of checking that a software system meets specifications and that it fulfills its intended purpose.
The Open Cloud Computing Interface (OCCI) is a set of specifications delivered through the Open Grid Forum, for cloud computing service providers. OCCI has a set of implementations that act as proofs of concept.


Open a dialog over the app's content. Press escape or click outside to close the dialog and send focus back to the triggering button.
A dialog can specify its origin and target with openFrom
and
closeTo
properties.
The options showFrom and closeTo can be specified as a string [where internally
querySelector( ) is used to perform the DOM element lookup],
element or an Rect object [with top, left, width, height fields].


Activatable
This tutorial describes how to implement an activatable remote
object, but differs from the tutorial Using Activation: Extending
Activatable
in that the implementation for the
remote object does not extend the class
java.rmi.activation.Activatable
. Instead, the
implementation uses a static method of the class
Activatable
to export an activatable remote object.
This tutorial uses a Setup
program (described in the
tutorial Using Activation: the
Setup
Program) that registers information about an
activatable remote object with the Java Remote Method Invocation (Java RMI) activation
system daemon (rmid
) and then binds a stub for that
remote object in an rmiregistry
so that clients can
look it up. You may want to read that tutorial before this one.
This tutorial has the following steps:
Setup
programThe files needed for this tutorial are:
MyRemoteInterface.java
- a simple remote interfaceDoesNotExtendActivatable.java
- an "activatable" implementation of the remote
interfaceClient.java
- a
client that uses the remote interfaceclient.policy
-
the security policy file for the clientThere are a few basic ways to implement an activatable remote
object. This tutorial describes how to implement an activatable
remote object by using a static method of the class
java.rmi.activation.Activatable
to export an
activatable remote object.
A remote object is activated when a client invokes a remote
method on a stub for an activatable remote object. A stub for an
activatable remote object contains the remote object's activation
ID and information on how to contact the Java RMI activation system
daemon (rmid
) for the remote object. If the stub
cannot connect to the last-known address (i.e., host/port) for the
remote object, the stub will contact the remote object's activator
(rmid
) to activate the object. When rmid
receives an activation request, it starts the remote object's
activation group (or container) VM if the group is not already
executing, and then rmid
asks the group to make an
instance of the remote object. Once the group constructs the remote
object, it returns the remote object's stub to rmid
which, in turn, returns the actual stub to the initiating stub so
that the initiating stub can update its information on how to
contact the remote object in the future.
Before any of this activation can take place, an application
must register information about the activatable remote objects it
needs to use. The following separate tutorial describes the
information needed to activatate a remote object and how to
register this information with rmid
:
In this example, the activatable remote object implements the
following remote interface
examples.activation.MyRemoteInterface
:
package examples.activation; import java.rmi.*; public interface MyRemoteInterface extends Remote { Object remoteMethod(Object obj) throws RemoteException; }
The implementation class,
examples.activation.DoesNotExtendActivatable
, for the
activatable remote object is as follows:
package examples.activation; import java.rmi.*; import java.rmi.activation.*; public class DoesNotExtendActivatable implements MyRemoteInterface { private final ActivationID id; public DoesNotExtendActivatable(ActivationID id, MarshalledObject data) throws RemoteException { this.id = id; Activatable.exportObject(this, id, 0); } public Object remoteMethod(Object obj) { return obj; } }
The class DoesNotExtendActivatable
implements the
remote interface MyRemoteInterface
, but does not
extend any class.
The class DoesNotExtendActivatable
declares a
special "activation" constructor that an activation group
calls to construct an instance during the activation process. This
special constructor takes two parameters:
ActivationID
, is an
identifier for the activatable remote object. When an application
registers an activation descriptor with rmid
,
rmid
assigns it an activation ID, which refers to the
information associated with the descriptor. This same activation ID
(also contained in the remote object's stub) is passed to this
constructor when the remote object is activated.MarshalledObject
that
contains initialization data pre-registered with rmid
.
This initialization data may be a filename for the object's
persistent state, for example. This example does not require any
initialization data to construct the remote object.The constructor saves the activation ID in a private field, and
then calls the static method Activatable.exportObject
,
passing the implementation itself (this
), the
activation ID, and the port number 0
, indicating that
the object should be exported on an anonymous TCP port. While this
implementation does not actually use the activation ID it stores,
this example saves the activation ID to demonstrate what a typical
implementation of an activatable object might do. Such an
implementation may need the activation ID in the future, in order
to deactivate the object, for example.
Finally, the class implements the remote interface's single
method, remoteMethod
to return the object passed as an
argument.
The Client
program looks up a remote object's stub
(one that implements the remote interface
MyRemoteInterface
) in the registry on the host
supplied as the optional first argument, and then invokes the
stub's remoteMethod
method. The client program is the
same as the one described in the tutorial Using Activation: Extending
Activatable
. For details, see the following
section of that tutorial
The source files for this example can be compiled as follows:
javac -d implDir MyRemoteInterface.java DoesNotExtendActivatable.java javac -d clientDir MyRemoteInterface.java Client.java
where implDir is the destination directory to put the implementation's class files the class files in, and clientDir is the destination directory to put the client's class files in.
Setup
programOnce your implementation phase is complete, you need to register
information about the activatable object so a client can use it.
The Setup
program, described by the tutorial Using Activation: the Setup
Program,
registers an activation descriptor for an activatable object with
rmid
, and then binds the remote object's stub in an
rmiregistry
so that clients can look it up.
To run the Setup
program for this example, see the
section Start rmid
,
rmiregistry
, and the Setup
program in
the setup program tutorial, which describes how to start
rmid
, rmiregistry
, and the
Setup
program itself.
After you run rmid
and rmiregistry
as
instructed in the Setup
tutorial, you will need to run
the Setup
program to register an activation descriptor
for an activatable object that implements the class
examples.activation.DoesNotExtendActivatable
. The
following command line runs the Setup
program,
supplying an appropriate file URL for each codebase used:
java -cp setupDir:implDir \ -Djava.security.policy=setup.policy \ -Djava.rmi.server.codebase=file:/implDir/ \ -Dexamples.activation.setup.codebase=file:/setupDir/ \ -Dexamples.activation.impl.codebase=file:/impDir/ \ -Dexamples.activation.name=examples.activation.MyRemoteInterface \ -Dexamples.activation.policy=group.policy \ examples.activation.Setup examples.activation.DoesNotExtendActivatable
where:
Setup
program's classSetup
programNote that the examples.activation.file
system
property does not need to be specified, because the
DoesNotExtendActivatable
implementation class does not
use it. Also note that each file URL above has the required
trailing slash. Examples of group and setup policy files, suitable
for this tutorial, are described in the setup tutorial, and are
also listed below:
The output from the Setup
program should look like
this:
Activation group descriptor registered. Activation descriptor registered. Stub bound in registry.
Once you have successfully registered an activation descriptor
for a DoesNotExtendActivatable
implementation, you can
run the client program, which, during its first execution, will
cause the activatable object to activate.
The client program is the same as the one described in the
tutorial Using Activation: Extending
Activatable
. For details, see the following
section of that tutorial:


Great that you want to join us! Let's work together for a better society!
Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat.
I want to help.
I'm an individual and want to offer my help as a volunteer.
I'm Seeking Help.
I'm an individual and I'm looking for a volunteer.
I want to join an organization.
I'm an individual and want to become part of an organization.
We want to help.
We are no official organization but we are a group, we share interests and we want to combine and share our help for the community.
We are a profit organization.
We are a commercial company. We want to use the platform to engage and participate our corporate social responsibility.

We are an organization which strives for human and environmental welbeing such as a voluntary organization, unincorporated association, common-interest association, sports club or other and we want to use the platform to engage and participate in the socila responsibility.
We are a political organization.
We are a political organization and want to use the platform to engage and participate in our volunteer community.


This chart uses a radar chart that's defined as a single, standalone Javacsript object,
which expects data in a particular structure. Some settings cannot be changed and are implemented as is,
while other options can be configured using a dictionary.
The radar chart is connected to data about the month of death,
organized in a hierarchical way, similar to the organization for
the bar and donut charts. The difference is that this time,
the pre-defined RadarChart object was used, which expected
particular data labels.
Here is how the data looks for this example:
[
{ "className": "S324",
"axes": [
{"value": 1, "axis": "January"},
{"value": 0, "axis": "February"},
...
{"value": 0, "axis": "December"}
]
},
{ "className": "S328",
"axes": [
{"value": 1, "axis": "January"},
{"value": 1, "axis": "February"},
...
{"value": 2, "axis": "December"}
]
},
{ "className": "Y15",
"axes": [
{"value": 3, "axis": "January"},
{"value": 2, "axis": "February"},
...
{"value": 1, "axis": "December"}
]
}
]


Emailer¶
-
class
utils.sendit.
Emailer
(df=None, instr=None, processing_times=None)¶ Bases:
object
Attributes Summary
Message to send in the email
pd.DataFrame containing a summary of the results
One of the valid instrument names
Processing self.processing_times for each step
Person to whom the email is sent
Person from whom the email is sent
Subject of the email
Methods Summary
SendEmail
([gif_file, gif])Send out an html markup email with an embedded gif and table
Send out an html markup email with an embedded gif and table
Generate style format for pd.DataFrame to be used in html conversion
high_outliers
(col)Highlight outliers above the mean with light red
highlight_max
(col)highlight the max value in the series with dark red
highlight_min
(col)Highlight the min value in the series with dark blue
low_outliers
(col)Highlight outliers below the mean with light blue
Attributes Documentation
-
body_text
¶ Message to send in the email
-
df
¶ pd.DataFrame containing a summary of the results
-
instr
¶ One of the valid instrument names
-
processing_times
¶ Processing self.processing_times for each step
-
recipient
¶ Person to whom the email is sent
-
sender
¶ Person from whom the email is sent
-
subject
¶ Subject of the email
Methods Documentation
-
SendEmail
(gif_file=None, gif=False)¶ Send out an html markup email with an embedded gif and table
- Parameters
toSubj (email subject line) –
data_for_email (data to render into an html table) –
gif_file –
-
SendEmailAWS
()¶ Send out an html markup email with an embedded gif and table
- Parameters
toSubj (email subject line) –
data_for_email (data to render into an html table) –
gif_file –
-
get_style
()¶ Generate style format for pd.DataFrame to be used in html conversion
-
high_outliers
(col)¶ Highlight outliers above the mean with light red
- Parameters
col (pd.Series) –
-
highlight_max
(col)¶ highlight the max value in the series with dark red
- Parameters
col (pd.Series) –
-
highlight_min
(col)¶ Highlight the min value in the series with dark blue
- Parameters
col (pd.Series) –
-
low_outliers
(col)¶ Highlight outliers below the mean with light blue
- Parameters
col (pd.Series with) –
-


{% extends "withoutnav_template.html" %} {% from "components/textbox.html" import textbox %} {% from "components/page-footer.html" import page_footer %} {% block page_title %} Feedback – GOV.UK Notify {% endblock %} {% block maincolumn_content %}
Check our system status page to see if there are any known issues with GOV.UK Notify.
What went wrong, if anything? What went well? How could we improve this service?


Primer comes with an abstract base model for you to subclass called PrimerModel
located in primer.db.models
. It comes with the following baked in fields.
User
, Group
, and Site
models.
| created | Datetime that is automatically added when a record is created. |
| modified | Datetime that is automatically updated everytime a record is modified. |
| uuid | An automatically generated Unique Universal Identifier based on UUID Version 1. This gets automatically generated when a record is created. |
The following field types also available in primer.db.models
.
| PickleField | A field for storing pickeld (serialized) data. You can set this field to a dict and any serializeable types will be converted to a string and stored int he database. When working with model objects, the data will be returned to you as a dict. |
| UUIDField | A Unique Universal Identifier based on UUID Version 1. This gets automatically generated when a record is created if not explicitly set. There is already a UUID field included in PrimerModel , but the field type is there if you need it. |
from primer.db.models import PrimerModel, PickleField, UUIDField class MyModel(PrimerModel): data = PickleField(blank = True, null = True) hash = UUIDField()


Node template object.
Object, default = {...} // see below
The .node_template property defines default values for the sidebar node. This template is used when new sidebar nodes are created. An item object has the following structure:
To nest add them into The item.nodes array.


You are the
Friendly Beer Bear
You’re the friendly beer bear. The huggy type that loves beer and usually gets a bit to drunk. From time to time you end up hugging the wrong person and then there’s a fight. Somewhere down the road you’ll start you own brewery. Cheers !


/* There's a whole lot going on in the default Android build scripts. For starters, this is actually a multi-project build, and the Android app itself is a subproject. We'll talk all about multi project builds in lesson 4, but It's set up that way so it's easy to add other sub-projects that we want to build together with the app, like libraries, or even a back-end. This build.gradle file is for the root project. There are two things to note in this file. First, we declare a buildscript dependency on 'com.android.tools.build:gradle:1.1.0'. This is where the Android plugin for Gradle lives. */ // Top-level build file where you can add configuration options common to all // sub-projects/modules. buildscript { repositories { jcenter() google() } dependencies { classpath 'com.android.tools.build:gradle:3.0.1' // NOTE: Do not place your application dependencies here; they belong // in the individual module build.gradle files } } /* Second this block adds the jcenter repository to every subproject of the build. We'll talk about this multi-project stuff in lesson 4. */ allprojects { repositories { jcenter() google() } } /* Let's take a look at the build script specifically for the Android app, which is in the /app directory. */


QuantumVariationalEigensolverGradFree¶
-
class
zyglrox.models.qve.
QuantumVariationalEigensolverGradFree
(hamiltonian: zyglrox.core.hamiltonians.Hamiltonian, qc: zyglrox.core.circuit.QuantumCircuit, exact=False, optimizer: str = None, **params)¶ Quantum Variational Eigensolver according to Peruzzo et al. (2014) using only gradient free optimizers.
We take a quantum circuit with parameters \(\theta\) which implements some unitary transformation \(\mathcal{U}(\theta)\). This unitary brings our initial state \(|0\rangle\) to a state \(|\psi(\theta)\rangle\).
\[\mathcal{U}(\theta)|0\rangle = |\psi(\theta)\rangle\]Then, we realize that any Hamiltonian \(H\) can be written as a polynomial of single qubit interactions.
\[H = \sum_{i\alpha} h_\alpha^i \sigma_i^\alpha + \sum_{ij\alpha\beta} w_{\alpha\beta}^{ij} \sigma_{i}^{\alpha}\sigma_{j}^{\beta} + \ldots\]where \(i,j,\ldots=1,\ldots,N\) indicate the qubit and \(\alpha,\beta,\ldots=x,y,z\) indicates the Pauli operator. By measuring the expectation values of the quantum circuit, we obtain a variational energy which is a lower bound on the true energy \(\langle H \rangle = \langle \psi| H |\psi \rangle\).
\[\langle H \rangle \approx \langle H \rangle_{\theta^t} = \sum_{i\alpha} h_\alpha^i \langle\sigma_i^\alpha\rangle + \sum_{ij\alpha\beta} w_{\alpha\beta}^{ij} \langle \sigma_{i}^{\alpha} \sigma_{j}^{\beta}\rangle + \ldots\]By minimizing this variational energy, we hope to learn a quantum circuit which best represents the groundstate of \(H\). If this minimization is successful, we can easily sample the ground state.
In the derivative-free method, we need only function evaluations at a point \(\theta^t\). In the case of the QVE this function is simply the expected energy under the variational circuit ansatz:
\[f(\theta^t) = \langle H \rangle_{\theta^t} = \langle 0 | \mathcal{U}^\dagger(\theta^t) H \mathcal{U}(\theta^t)|0\rangle\]- Args:
- hamiltonian (list):
List of numpy arrays containing the operators and their locations. See
verify_hamiltonian()
for the required format.- qc (QuantumCircuit):
QuantumCircuit
object containing a quantum circuit architecture.- exact (bool):
Boolean indicating whether we want to calculate the exact ground state and eigenvectors of the Hamiltonian. Will throw an error if the number of qubits is larger than 18.
- device (string):
Device of choice for running tensorflow.
- optimizer (str):
Desired scipy optimizer, choose from ‘Nelder-Mead’, ‘Powell’, ‘COBYLA’, ‘SLSQP’, ‘trust-constr’ or ‘trust-exact’.
-
scipy_fn
(theta: numpy.ndarray)¶ Evaluate the energy for a given set of parameters \(\theta^t\).
- Args:
- theta (array):
Array of size \(M\) containing the parameters of the quantum circuit.
- Returns (float):
Returns the energy \(\langle H \rangle_{\theta^t}\) of the variational circuit.
-
train
(maxiter: int = 1000)¶ Train the quantum variational eigensolver. We minimize the energy \(\langle H \rangle_\theta\) as defined above using a gradient free method.
- Args:
- maxiter (int):
The maximum number of iterations for the gradient free optimzer.
- Returns (inplace):
None
-
get_convergence
(plot=True) → Optional[float]¶ Plot the energy at each epoch. If the argument exact=True was passed to the``QuantumVariationalEigensolverGradFree`` constructor we also calculates the residual energy \(\epsilon_{\text{res}} = |\text{min}(E_{qc} - E_{gs_wavefunction})|\). Otherwise returns None
- Args:
- plot (bool):
Wheter to plot the training schedule.
- Returns (float):
Residual energy.
-
get_statistics
(plot=True)¶ Compare the ground state statistics of the
QuantumCircuit
with the exact ground state statistics.\[\begin{split}\text{MSE}_{h} = \frac{1}{M} \sum_i^M (\langle \sigma_i \rangle - \langle \hat{\sigma}_i \rangle)^2 \\ \text{MSE}_{w} = \frac{1}{M} \sum_{i,j}^M (\langle \sigma_i \sigma_j \rangle - \langle \hat{\sigma}_i \hat{\sigma}_j\rangle)^2\end{split}\]- Args:
- plot (bool):
Whether to plot the training schedule.
- Returns (dict):
Dict with entries ‘field’ and ‘coupling’ with the respective MSE between the circuit and true statistics.
-
get_wavefunction
(plot=False)¶ Compare the exact ground state wave function with the quantum circuit wave function by calculating the overlap
\[R = |\langle \psi(\theta)| \psi_0\rangle|^2\]- Args:
- plot (bool):
Whether to plot the training schedule.
- Returns (float):
The overlap \(R\)


'export class/function' chosen over an (export default) expression for explicitness:
- Source:
- To Do:
-
- Make an Atom() class datatype?
- Check each METHOD... should it be .STATIC or #INSTANCE?
- Proxy the 'console' object so that we can toggle debug levels
- serl.js should be serl.mjs - but the lousy dev server doesn't serve the right mime type
- https://docsify.js.org/#/quickstart ?
- export class Reference ()
Classes
Namespaces
Methods
(static) recurse()
Utility function that helps reduce boilerplate in spawn/n for recursing functions.
Type Definitions
NodeIndex
The primary location of values of his type is at Node.nodeMap.counter. These are then used as keys of Node.nodeMap. They are also used as the first integer value in the string representation of a Pid.
This custom type exists only in documentation, and must be manually enforced in code, by developers.
Type:
- integer
ProcIndex
The primary location of values of this type is at Node.procMap.counter. These are then used as the second integer value in the string representation of a Pid. ** UNLIKE NodeIndex, these are NOT keys of Node.procMap. **
This custom type exists only in documentation, and must be manually enforced in code, by developers.
Type:
- integer


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Hi, my name is Ezequiel, i make this calculator for the opportunity of Front- End in China ,add me in my social networks greetings.


Week 13 Fantasy PPR RB Rankings
by Billy HeyenWeek 13 presents a very intriguing thought experiment in our PPR RB rankings. There are a number of workhorse, early-down running backs with tough matchups that could turn them into fantasy busts. And there are a handful of running backs who've emerged (or re-emerged) as solid pass-catching backs who gain value in PPR leagues. It's definitely difficult to make a start/sit choice between a guy you know will get 15-plus touches and another guy who you're hoping catches four or five passes.
Two of the most obvious bad matchup workhorses are Houston's Carlos Hyde (vs. Patriots) and Baltimore's Mark Ingram (vs. 49ers). Those are the type of matchups that could still see each running back touch the ball 15-20 times. But if each touch is only for 2.5 yards on average, what good does that do you, especially if they're held out of the end zone?
WEEK 13 NON-PPR RANKINGS:
Quarterback | Running back | Wide receiver | Tight end | D/ST | Kicker
On the flip side, there are the usual suspects like James White and Austin Ekeler, along with the recently emerged Kareem Hunt and even Nyheim Hines, who's seen more value in Indy with the absence of Marlon Mack (hand). You can see where we rank them in relation below, but this is a weird floor-ceiling proposition that's hard to wrap your head around.
In general, these decisions are made easier if you consider a particular game flow. The Texans could easily fall behind early against New England, which would mean Hyde's usage declines early. But Baltimore might stay in the game or even lead, making Ingram useful deeper into the contest. With the pass-catchers, it obviously works in a reverse manner. If Hunt and the Browns jump on Pittsburgh early, his involvement might be less, while if the Colts fall behind to the red-hot Ryan Tannehill and the Titans, Hines could see more usage.
A few of the pass-catchers might be better plays than a younger workhorse like Bo Scarbrough (vs. Bears), too. And while we have them right in the same area as Tevin Coleman, Ronald Jones and Derrius Guice, only a few spots separate them for a reason. If you think you have those games figured out and know which pass-catching backs will be needed most, you could certainly justify playing White, Hunt or Ekeler, especially, over some of those early-down backs.
Reminder: Check back for frequent updatesduring the week.
Week 13 Fantasy PPR Rankings: RBs
These rankings are for full-point PPR leagues.
| Rank | Player |
| 1 | Christian McCaffrey, CAR vs. WAS |
| 2 | Saquon Barkley, NYG vs. GB |
| 3 | Dalvin Cook, MIN @ SEA |
| 4 | Josh Jacobs, OAK @ KC |
| 5 | Le'Veon Bell, NYJ @ CIN |
| 6 | Alvin Kamara, NO @ ATL |
| 7 | Derrick Henry, TEN @ IND |
| 8 | Nick Chubb, CLE @ PIT |
| 9 | Ezekiel Elliott, DAL vs. BUF |
| 10 | Aaron Jones, GB @ NYG |
| 11 | Todd Gurley, LAR @ ARZ |
| 12 | James Conner, PIT vs. CLE |
| 13 | Melvin Gordon, LAC @ DEN |
| 14 | Phillip Lindsay, DEN vs. LAC |
| 15 | Damien Williams, KC vs. OAK |
| 16 | David Montgomery, CHI @ DET |
| 17 | Devin Singletary, BUF @ DAL |
| 18 | Jordan Howard, PHI @ MIA |
| 19 | Leonard Fournette, JAX vs. TB |
| 20 | Joe Mixon, CIN vs. NYJ |
| 21 | Jonathan Williams, IND vs. TEN |
| 22 | Chris Carson, SEA vs. MIN |
| 23 | Derrius Guice, WAS @ CAR |
| 24 | Miles Sanders, PHI @ MIA |
| 25 | Kenyan Drake, ARZ vs. LAR |
| 26 | Austin Ekeler, LAC @ DEN |
| 27 | Kareem Hunt, CLE @ PIT |
| 28 | James White, NE @ HOU |
| 29 | Jamaal Williams, GB @ NYG |
| 30 | Tevin Coleman, SF @ BAL |
| 31 | Ronald Jones, TB @ JAX |
| 32 | Bo Scarbrough, DET vs. CHI |
| 33 | Tarik Cohen, CHI @ DET |
| 34 | Rashaad Penny, SEA vs. MIN |
| 35 | Carlos Hyde, HOU vs. NE |
| 36 | Sony Michel, NE @ HOU |
| 37 | Mark Ingram, BAL vs. SF |
| 38 | Benny Snell Jr., PIT vs. CLE |
| 39 | David Johnson, ARZ vs. LAR |
| 40 | Adrian Peterson, WAS @ CAR |
| 41 | Latavius Murray, NO @ ATL |
| 42 | Matt Breida, SF @ BAL |
| 43 | Kalen Ballage, MIA vs. PHI |
| 44 | Nyheim Hines, IND vs. TEN |
| 45 | Brian Hill, ATL vs. NO |
| 46 | Duke Johnson Jr., HOU vs. NE |
| 47 | Peyton Barber, TB @ JAX |
| 48 | Royce Freeman, DEN vs. LAC |
| 49 | Darrel Williams, KC vs. OAK |
| 50 | Jay Ajayi, PHI @ MIA |
| 51 | LeSean McCoy, KC vs. OAK |
| 52 | Qadree Ollison, ATL vs. NO |
| 53 | Jaylen Samuels, PIT vs. CLE |
| 54 | Frank Gore, BUF @ DAL |
| 55 | Dare Ogunbowale, TB @ JAX |
| 56 | Bilal Powell, NYJ @ CIN |
| 57 | Alexander Mattison, MIN @ SEA |
| 58 | J.D. McKissic, DET vs. CHI |
| 59 | Rex Burkhead, NE @ HOU |
| 60 | Tony Pollard, DAL vs. BUF |
| 61 | Dion Lewis, TEN @ IND |
| 62 | Giovani Bernard, CIN vs. NYJ |
| 63 | Gus Edwards, BAL vs. SF |
| 64 | Malcolm Brown, LAR @ ARZ |
| 65 | Ty Johnson, DET vs. CHI |
| 66 | Wayne Gallman, NYG vs. GB |


Diallows usages of any as a type declaration.
any
Using any as a type declaration nullifies the compile-time benefits of the type system.
Not configurable.
"no-any": true
{}


Catherine Espinosa is a web strategist, designer and front-end developer living in New York City. With 10 years of experience in the digital space, Catherine designs user interfaces and provides UX, marketing and sales strategy for B2B products and B2C clients. She currently manages the Chemical Week website and digital products.
Posted on
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.


Workshop and hands-on session materials for the MPI Leipzig workshop on Nov 14-15, 2019.
A recent analysis of publicly released data accompanying published papers in Cognition showed that not all published numbers could be reproduced, even though the data and code were available (
see here). The authors state that: "...suboptimal data curation, unclear analysis specification and reporting errors can impede analytic reproducibility, undermining the utility of data sharing and the credibility of scientific findings."
In this workshop, I will suggest one way to minimize the chances of producing irreproducible results, focusing on a repeated measures two-condition design as a case study.
The steps I will discuss are:
- Experiment design, and planning sample size using simulated data
- Defining the analysis plan using simulated data
- Checking that your experiment software actually collects the data you need
- Once data are collected, visualizing and summarizing the data
- Creating an R package to document and release your data and analyses
- Code refactoring
- Integrating the data analysis into the manuscript
- Releasing data and code: a suggested checklist
Download everything from
here.
Preparation for the workshop
Install:
- R and RStudio
- the R library papaja
- github
Workshop materials
Hands-on session materials
In this hands-on session, I will demonstrate a workflow for storing, analyzing, and maintaining data and code associated with a published paper. One major practical problem with conducting open science is how to provide the materials to one's audience (this could be just one's PhD advisor, or the wider scientific community) in a way that they can actually use and evaluate the author's work. We will develop practical skills in using tools like knitr, R Markdown, LaTeX, and GitHub, and learn to avoid common pitfalls and problems when managing the workflow for releasing data publicly. If there is time, I will also discuss the workflow and protocols that I follow when I discover mistakes, problems, and/or outright errors in other researchers' data.
Contact details
For any questions regarding these materials, please contact
Shravan Vasishth.


Dropdown load data on init feature can be uses to take over the control of data binding when on component initialization. If this configuration is
set to false
, data won't be loaded as expected and user must provide their own way of data loading mechanism by explicitly.
For enable/disable the data load on init configuration, simply bind a specific boolean value into ng-dropdown. the default value for this
configuration is true
.


Editing the dataset
In this example we have enabled the data manipulation setting. If the dataManipulation option is set to true, the edit button will appear.
If you prefer to have the toolbar visible initially, you can set the initiallyVisible option to true. The exact method is described in the docs.
The data manipulation allows the user to add nodes, connect them, edit them and delete any selected items. In this example we have created trigger functions
for the add and edit operations. By settings these trigger functions the user can direct the way the data is manipulated. In this example we have created a simple
pop-up that allows us to edit some of the properties.


Create an account
First name
Last name
Choose username
Choose password
Repeat password
Birth (mm/dd/yy)
Email


🥁 Contacting the Helapawura team was never been easy! 🥂
🤟 We are eager to hear your thoughts about our open source projects. We just can't stop keep living off on your kind words! 💖
<EMAIL_ADDRESS>🤝 Help us innovate!🛺
We'd love to merge your creative upgrades
Helapawura Github Repo
🔎 What about social media? 🔍
Helapawura Facebook Page


<{$smarty.const._MD_GMOPAYMENT_DESC_MEMBERSAVE}>
Account ID : <{$xoops_userid}>-<{$xoops_userid|xoops_user:"user_name"}>


Home
Military Spending
Healthcare Spending
Education Spending
Country Dashboard
Averages for Spending Categories from 2011-2015
GDP Per Capita from 2011-2015


Whear is here to help you dress better, find your perfect outfit, and show you what's trending anywhere in the world!
Keep up with our blog to see how Whear will revolutionize fashion!
Whear is here to help you dress better, find your perfect outfit, and show you what's trending anywhere in the world!
Keep up with our blog to see how Whear will revolutionize fashion!
Whear was founded with a simple mission: to help people better and feel great about the clothes they are wearing. Over the past several months, we have been building a mobile platform dedicated to that goal. As the fashion industry grows its presence on social media, we believe the time has come for fashion and apparel to have their own platform.
Whear will be the social sharing platform for fashion and style. In combining the best features of the most popular social media outlets, we will:
Keep up with our blog to see how Whear will revolutionize fashion!


GNA Wins six awards at the 2018 GJA Awards
by Gifty Amofa, GNAAccra, Nov. 24, GNA - Six Ghana News Agency Journalists on Saturday night received awards in the Ghana Journalists Association 24th Awards with Mr Kwaku Osei-Bonsu , the Acting Director of Editorial picking the G.T. Anim Award for ethics in journalism.
Other GNA awardees were; Mr Albert Oppong-Ansah, best Environmental reporting, electronic, Albert Futukpor, best in Water Sanitation and Hygiene, Mr Anthony Bells Kafui Kanyi, Child Protection and Participation, Mr Prosper Kuorsoh, best in Agriculture and Mr Robert Techie-Menson best in HIV/AIDS, electronic.
The Ghana News Agency was also adjudged the Best Online Media Award.
The occasion was on the theme "Democracy, Freedom and Independence of the media in Ghana."
Other award winners were best in science, tourism, education, health, maritime, transport, oil and gas, rural reporting, among others.
Apart from the winners, who were presented with plaques and citations, some distinguished personalities were also honoured.
Dr Mahamudu Bawumia, the Vice President of Ghana graced the occasion, while Mrs Gifty Afanyi Dadzie, GJA past President and the chair for the ceremony called on journalists to be fair, objective and voice for the voiceless.
The ceremony also brought together, Ministers of State, traditional leaders, Chief Executive Officers, past GJA presidents, Chairman of the National Media Commission, Members of the Diplomatic Corps and many others.
GNA


The first thing you need to know about Carrot is, it's an
experimental framework built by an amateur PHP programmer.
It's not a super framework built by a super-coder (not that
you should view any frameworks that way either), and it's not
ready for production yet. So expect to see some
WTF
moments, and bugs. Don't expect awesomeness.


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Sports
Liga Championship


Ruby mode # Code from http://sandbox.mc.edu/~bennet/ruby/code/poly_rb.html # # This program evaluates polynomials. It first asks for the coefficients # of a polynomial, which must be entered on one line, highest-order first. # It then requests values of x and will compute the value of the poly for # each x. It will repeatly ask for x values, unless you the user enters # a blank line. It that case, it will ask for another polynomial. If the # user types quit for either input, the program immediately exits. # # # Function to evaluate a polynomial at x. The polynomial is given # as a list of coefficients, from the greatest to the least. def polyval(x, coef) sum = 0 coef = coef.clone # Don't want to destroy the original while true sum += coef.shift # Add and remove the next coef break if coef.empty? # If no more, done entirely. sum *= x # This happens the right number of times. end return sum end # # Function to read a line containing a list of integers and return # them as an array of integers. If the string conversion fails, it # throws TypeError. If the input line is the word 'quit', then it # converts it to an end-of-file exception def readints(prompt) # Read a line print prompt line = readline.chomp raise EOFError.new if line == 'quit' # You can also use a real EOF. # Go through each item on the line, converting each one and adding it # to retval. retval = [ ] for str in line.split(/\s+/) if str =~ /^\-?\d+$/ retval.push(str.to_i) else raise TypeError.new end end return retval end # # Take a coeff and an exponent and return the string representation, ignoring # the sign of the coefficient. def term_to_str(coef, exp) ret = "" # Show coeff, unless it's 1 or at the right coef = coef.abs ret = coef.to_s unless coef == 1 && exp > 0 ret += "x" if exp > 0 # x if exponent not 0 ret += "^" + exp.to_s if exp > 1 # ^exponent, if > 1. return ret end # # Create a string of the polynomial in sort-of-readable form. def polystr(p) # Get the exponent of first coefficient, plus 1. exp = p.length # Assign exponents to each term, making pairs of coeff and exponent, # Then get rid of the zero terms. p = (p.map { |c| exp -= 1; [ c, exp ] }).select { |p| p[0] != 0 } # If there's nothing left, it's a zero return "0" if p.empty? # *** Now p is a non-empty list of [ coef, exponent ] pairs. *** # Convert the first term, preceded by a "-" if it's negative. result = (if p[0][0] < 0 then "-" else "" end) + term_to_str(*p[0]) # Convert the rest of the terms, in each case adding the appropriate # + or - separating them. for term in p[1...p.length] # Add the separator then the rep. of the term. result +=( if term[0] < 0 then " - " else " + " end) + term_to_str(*term) end return result end # # Run until some kind of endfile. begin # Repeat until an exception or quit gets us out. while true # Read a poly until it works. An EOF will except out of the # program. print "\n" begin poly=r eadints( "Enter a polynomial coefficients: ") rescue TypeError print "Try again.\n" retry end break if poly.empty? # Read and evaluate x values until the user types a blank line. # Again, an EOF will except out of the pgm. while true # Request an integer. print "Enter x value or blank line: " x=r eadline.chomp break if x=='' raise EOFError.new if x=='quit' # If it looks bad, let 's try again. if x !~ /^\-?\d+$/ print "That doesn't look like an integer. Please try again.\n " next end # Convert to an integer and print the result. x = x.to_i print "p(x)=", polystr(poly), " \n " print "p( ", x, ")=", polyval(x, poly), " \n " end end rescue EOFError print "\n===E OF===\n " rescue Interrupt, SignalException print "\n===I nterrupted===\n " else print "--- Bye ---\n " end MIME types defined: text/x-ruby. Development of the CodeMirror Ruby mode was kindly sponsored by Ubalo.


Yarn Over
A WebMVC app for tracking yarn, hooks and projects
A WebMVC app for tracking yarn, hooks and projects
Tracking my progress learning C#
Created using only CSS
A WebMVC app for tracking yarn, hooks and projects
A WebMVC app for tracking yarn, hooks and projects
A WebMVC app for tracking yarn, hooks and projects
600+ Hours of hands on training and educational experience in C#, Wordpress, PHP, JavaScript, HTML and CSS.
Completed group projects, individual portfolio, etc
Advise families with pre-planning cemetery and funeral arrangements for their loved ones.
Top performer in a national company, with three months grossing over $100,000.
Member Sales Representative - accept incoming calls from potential members, converting them to a paid membership,
up-selling as the opportunity was available. Based on performance was promoted to Advertising Sales after 7 months.
Discovery Representative - reach out to businesses that had been previous advertisers. Re-engaged and re-qualify
to create new programs for previous advertisers. Consistently ranked in the top 10% of my 20 person team, and department.
Eligibility Representative - cold called new businesses and assist them with becoming eligible to advertise with Angie's List.
Tailor the product to meet the needs of the business, and provide a memorable customer service experience.
Consistently in the top 20% of a twenty person team and a 100 person department.


navbar
Title
This is a text area.
Title
This is a text area.
FileSaver.js, saveDocument.js, searchBar.js, textArea.js, textile.js, utilities.js, elementAdder.js, initElement.js
alice; alive; Alteration; Bob; Banjo; Books
1
testing
Title
This is a text area.
Title
This is a text area.


Roadmap
Things on the horizon :)
This is not really a roadmap per se it is more just a collection of ideas at the moment, in no particular order.
UPDATE 20180526 - Skyline itself now seems to write its own roadmap and also seems to be plotting it’s own course. Regardless of any whaffle you may read here.
Further performance improvements and Python-3.5
Further performance improvements where possible with the use of cython. pypy is unfortunately not an overall viable route due to no real support for scipy and limited numpy support. pypy would be a quick win if it were possible, so cython where applicable is the obvious choice.
Continue updating the code base to ensure that everything can be run on >= Python-3.5.x
UPDATE 20180526 - Skyline has not been cooperative here in terms of it’s own roadmap and plotted course.
Ionosphere
Functionality to allow the operator to flag false positives, with a view to using machine learning to train Skyline on anomalies. Using the entire data set for training it, perhaps even using an entire namespace to increase the accuracy of the anomaly detection via multiple avenues of analysis.
In progress
See Ionosphere and Development - Ionosphere
UPDATE 20180526 - Ionosphere development, still in progress in small increments
UPDATE 20180715 - Ionosphere stable
Meteor
Add the ability to inject data into a data set and test a metric, the workflow, algorithms, alerters and the apps themselves,etc.
UPDATE 20180526 - Skyline has not been cooperative here.
Constellations (Updated 20150526 now to be known as Luminosity)
A pure Python implementation of the Oculus functionality, but not necessarily exactly the same, but similar. Calculating in realtime using the redis data and fingerprinting the slope/gradient/alphabet of the last x datapoints of each timeseries on the fly and correlating / finding similarities in the timeseries in terms of patterns. Perhaps some inplementation of Cosine Similarity could be used. A pure Python implementation of Oculus functionality within Skyline would remove the requirement for the additional overheads of ruby and Elasticsearch.
This would allow for the correlations to be determined for any metrics
at any point within the FULL_DURATION
period.
Help wanted.
UPDATE 20180526 - Skyline HAS been cooperative here and hooked up with Linkedin/luminol to provide Skyline Luminosity and adding back the additional dimension of correlations, it has managed to provide a fairly good root cause analysis dimension to Skyline too. Ticked. Although I still like the app Skyline meme of Constellations, just have to think up or find another cool thing (similarly related) to name Constellations. No doubt in the next roadmap edition, this may be updated with something like, “Skyline and other parties have not been cooperative here.” Take that as ode to yourselves Linkedin, the name was even changed to fit in with paying homeage to your library, however if the aim here is to be accurate the app should be called skyline/paulbourke… Which gives me an idea :)
UPDATE 20180723 - Skyline HAS now been cooperative here and provided itself with data under which some of the Constellations meme roadmap item could be reborn, after being railroaded by Luminol and Luminosity. It was a well liked meme and it was difficult to accept and implement this meme functionality under anything other than Luminosity. However, now Luminosity is implemented, Skyline has once again pushed its own roadmap forward, as now it needs try and learn/compute what cross correlations are now strongly contextually related within the population of cross correlations per anomaly. A lot of cross correlations are purely valid numeric correlations, however within the population of metrics, they often have no contextual correlations to one another, one is not related to the other in any way or form.
It is here Constellations can be reborn by an effort to try and develop a method by which Skyline can learn/compute related metrics in a meaningful manner and hopefully a useful manner. Also try and learn/compute what metrics are never related to each other. Describe constellations and not in the literal sense, constellations can be found in a constellation too. Maps. Map the population, tribes, names, places, stars and know who is who, what is what, who did what, who affects what, who affects what and what affects what. Map it all, somehow. Just thoughts and reflections on v1.2.0 thru v1.2.4, Skyline again has opened itself another avenue of data from some added functionality. Mapping and taming the correlations. This time if possible with no operator training, but simply trying to learn/compute from all the available data. Perhaps it can ask the operator to review what it figured out and get their opinion on it. Who knows where this would go? Through a lot of time undoubtedly, that much is certain.
Skyline and NASA/FITS data
There is a Skyline module in development that is specifically designed for analysing Kepler FITS timeseries data. Although it specifically focus at extracting lightcurve data from the Kepler llc.fits data files, that in itself has added the functionality to convert any relevant FITS based data file that has a timeseries element in it. This should extend to other data types that the FITS data format (Flexible Image Transport System) handles:
Much more than just another image format (such as JPEG or GIF)
Used for the transport, analysis, and archival storage of scientific data sets
Multi-dimensional arrays: 1D spectra, 2D images, 3D+ data cubes
Tables containing rows and columns of information
Header keywords provide descriptive information about the data
It should be possible for Skyline to be able to ingest any FITS data file or ingest an image file from a FITS file and feed it to scikit-image, etc.
UPDATE 20180526 - Skyline and other parties have not been cooperative here.
NuPIC
Last year NuPIC was assessed in terms of
use in Internet advertising for an additional monitoring dimension. Although
the assessment was fairly brief, it’s predictive capabilities were quite
impressive. Working with a 14 month data set for one advertising service it was
able to predict the service’s ad_requests per 10 minutes for the 14 month
period remarkably well given the nature of the specific domain. The result was
a little peaky, with a few large peaks. Evaluation of the event streams from the
timeframes around the large peaks in question, identified known causes for
those peaks, with a “noise filter” applied to exclude > x
to reduce
those now known few noisy events and the result were indeed remarkable. In fact
NuPIC predicted our requests for 14 months within the bounds of ~5% error margin
and when it made and error, it learned.
Truly remarkable given this is adtech data, 6.5 million request per minute peaks, low troughs with sparse seasonalities (if there is such a thing) at times. NuPIC and the Cortical Learning Algorithm are really amazing, if not a little difficult upfront.
NuPIC predictions and Graphite timeseries
Feeding NuPIC prediction data back into Graphite helps our own Neocortex to visually analyse the results too (data courtesy of Coull).
Original requests timeseries
NuPIC predicted timeseries
percentage error - positive and negative
positive - under predicted (we did more than predicted)
negative - over predicted (we did less than predicted)
asPercent(diffSeries(stats_counts.radar.varnish.rpm.total,stats.nupic.predictions.radar.varnish.rpm.total),stats_counts.radar.varnish.rpm.total)
Drop the noisy for an average representation
Overlaid
Real data, NuPIC predictions and percentage error (on the 2nd unticked y axis as above)
Quite amazing. It a not beyond the realms of possibility to have a Horizon feeding specific metrics to various NuPIC HTM Cortical Learning Algorithms models…
UPDATE 20180526 - Skyline and other parties have not been cooperative here.
Update the NAB Scoreboard
Look at the automated running of the Numenta Anomaly Benchmark (NAB) data and frequently determine the Standard Profile, Reward Low FP and Reward Low FN scores (metrics). This will only aid and improve the evaluation of any additional algorithms, methods or techniques that are added or applied to Skyline in the future, e.g:
Does Mirage change the score?
Does Boundary?
Would the addition of pyculiarity as an “algorithm”? (https://github.com/nicolasmiller/pyculiarity)
Automated NAB benchmark metrics would be a nice thing to have :)
Update 20170225: Skyline can no longer necessarily be NAB-ed due to it now functioning in multiple temporal resolutions as a whole.
UPDATE 20180526 - Skyline and other parties have not been cooperative here.
UPDATE 20190412 - New Skyline scores were added to NAB see: https://github.com/numenta/NAB#scoreboard https://github.com/numenta/NAB/tree/master/nab/detectors/earthgecko_skyline
Machine learning
Bring additional dimensions of machine learning capabilities into Skyline, too many avenues to mention…
UPDATE 20180526 - Skyline and other parties have not been cooperative here.
Grumpy
Investigate if any elements could benefit performance wise from being implemented in Grumpy - go running Python - https://opensource.googleblog.com/2017/01/grumpy-go-running-python.html there may be some mileage in using go instead of multiprocessing in some cases, algorithms, ionosphere, tsfresh chunks to go in extract_features rather than multiprocessing, scope for investigation.
UPDATE 20180526 - Skyline and other parties have not been cooperative here. So at least one thing on the roadmap was done. I guess that is progress :)


Once you've finished coding and testing your application, you'll want to distribute it to users. You'll need to take some time to figure out exactly what files make up your package--what files does the user need to use your product? Is it just an application geode? Perhaps an application geode plus a data file? If one or more of the files is an application, make sure it's really ready for distribution. The files that make up your software are known as a software package.
Once you've figured out what files make up your software package, there are two approaches to making your package available:
WWW
application.No matter how you're making your software available, you'll need to create its Package Description File.
1 Preparing Your Application
2 Package Description File
3 Setting Up a PC Server
4 Setting Up a Web Server
Before you package your files up for distribution, first make sure that any applications in the package are ready.
The applications must be ready to shut down when prompted by the
system. If the application is running on the device, the user
won't be able to un-install the application or to install a newer
version. To make your application shut down as necessary, make
sure that its FoamSubApplication
object has
HINT_APPLICATION_QUIT_ON_IACP_ALLOW_FILE_ACCESS
in its declaration.
No matter how you're making your program available, you'll need to provide a "package description file," sometimes known as the . INS file. This is an ASCII text file which specifies important information about the files that make up your program:
Install/Remove software
application displays to the user
Install/Remove software
application displays to the userThis installation order is important in case of interrupted installation--if file A depends upon file B , but installation was interrupted after file A was brought over, but before file B was, then file A won't work, since it depends on an absent file. If another package is relying upon an older, successfully installed version of file A , then you've just broken that other file.
Use the following format when creating the package description file:
The line-pairs describing file locations must be ordered based upon the order in which the files should be installed. Libraries, fonts, etc. must be listed before the applications that depend on them.
This example shows a package description file for the Santa package. On the host machine, the package description file is in the C:\NSERVER directory, and the files making up the package are in the C:\NSERVER\SANTA directory. The Santa application depends on the Sleigh library, and the Rudy font; the Sleigh library depends on the Donner and Blitzen libraries.
GEOS Package Description File v1.0 Santa v1.0 Gives gifts. 15769 . santa\rudy.fnt userdata\font\rudy.fnt
santa\donner.geo system\donner.geo
santa\blitzen.geo system\blitzen.geo
santa\sleigh.geo system\sleigh.geo
santa\santa.geo world\extrapps\santa.geo
The Nokia 9000i Communicator comes with a disk containing the software by which a PC may be made to act as a server machine for the Install/Remove software application. The phone can make either a serial or IR connection with the PC. (For an IR connection, the PC must be running MS Windows 95 and the IR monitoring software which comes with it.)
server
on the floppy disk to install a program called
NServer
onto the PC.
NServer
to turn your PC into a server for the Nokia 9000i Communicator. This program monitors one of the PC's COM ports.
NServer
program is monitoring the right COM port--check its Settings.If the user makes a serial or IR connection between a Nokia 9000i Communicator and a PC running the NServer, then runs the Install/Remove software application on the phone, they can install packages from the PC to their phone.
The Install/Remove software application needs to know which directory to scan for Package Definition files. By default, the Install/Remove software application will look in the PC's A:\NSERVER directory--allowing for easy installation directly from floppy. If the files reside on the PC's hard drive, they should probably reside in C:\NSERVER; if they don't, make sure that the user knows where to look for them. To avoid clutter, you might want to put each "package" of files into its own directory under the directory containing the package description files.
To make Nokia 9000i Communicator software packages available on a web site, the web site administrator will do some set-up work so that the server knows how to tag Add-On Software files. Each software package must be bundled up into an Add-On Software file--a special kind of archive.
Standard Add-On Software files will have a . AOS suffix, and should be identified by the MIME-type application/x-nokia-9000-communicator-add-on-software . Exactly how this is set up depends upon your server software. NCSA's httpd daemon may use a file called mime.types , to which you would add a line reading
application/x-nokia-9000-communicator-add-on-software aos
Once the server has been set up correctly, each software package needs to be bundled up into an Add-On Software file.
tar
archive file. (This is done using the
tar
program.
Tar
is a standard Unix program; there is a public domain DOS
tar
program. The host-file-location lines in the package description file should describe locations within the tar file's directory structure.) The .
INS
file must be in the top level directory of the tar file so that it may be found. Read your
tar
documentation to find out how to create the archive. An appropriate invocation for one version of
tar
might be:tar cvf santa2.aos santa2.ins santa2/santa2.geo
Users of the Nokia 9000i Communicator using the
WWW
built-in application will be able to use
WWW
to install the software package from your site. The
WWW
program will download the Add-On Software file, extract the files from the archive, and put them into the proper directories as directed by the package description file.


Key Data and statistics for BarterDEX, KMD and the Komodo Eco System.
jl777c09-Jul-18 05:54 PM
yes
Yassin09-Jul-18 05:55 PM
Thanks
@CHMEX please sent me your adress Kmd, i will sent you 777 kmd
3
2
2
CHMEX09-Jul-18 06:06 PM
Thank you very much for your support!
Yassin09-Jul-18 06:50 PM
Yw!! Thanks for your work!! sent
1
BlackJesus09-Jul-18 09:56 PM
Who is ydx
I've been here a minute lol, never seen him.
@Yassin
SHossain09-Jul-18 10:02 PM
ydx is Yassin.
A long time supporter and doner of this community
1
1
bogybogy09-Jul-18 10:07 PM
Hy
How is everyone
Is not a week or a month to not hear another exchange has been hacked
Really I love this kind of news
Why..greed will wash the Market
Everyone forgot why to hold cryptocurrency,we like the technology behind BTC but we do not like the BTC,im Komodo maximalist..... holding your funds is the most precious thing in crypto
Here is the latest update on the recent security breach:
Retweets
111
Likes
111
bogybogy09-Jul-18 10:16 PM
They prove that they have alot of work
Eth was hacked few years ago, ZenCash 51%,verge I don't know if I can call a cryptocurrency but was hacked,you need background in cryptography and time to build something strong
BlackJesus09-Jul-18 11:05 PM
Bancor is supposedly a Dex is it not?
How does a Dex get hacked... By not being a Dex lmao
@hardcoree i was thinking the same and i read you. good to tell about that. and trading tools should be better.
GatewayBOT10-Jul-18 01:49 AM
[slack] <joebitcoinorg> I would like to see the ability to run an asset chain with sub-tokens on it. I envision having thousands of new "coins" per month - mostly with low transaction activity. This is for the http://RemedyCoin.com project I'm advancing. Each coin represents the forgiveness of certified damage in someone's life.
[slack] <joebitcoinorg> I also need a daap to be able to run which obfuscates the ip address of the clients, provides privacy to the organization's data store.
I have had this idea for a while now and wanted to share it. This cryptocurrency has the foundation to dominate the market. Join the Slack channel: https://h...
GatewayBOT10-Jul-18 02:27 AM
[matrix] <polycryptoblog:matrix.org> Notary nodes are a different form of self-funding governance. More akin to a republic than a democracy like in dash
[matrix] <polycryptoblog:matrix.org> You elect the notaries who receive a certain amount of funds from easy difficulty mining. Typically these notaries received votes based on campaign promises of what to do Funds in excess of labor/hardware/maintenance . The difference between the two systems is one you choose a delegate to work in what is in your interest, the other is referendum.
Nano10-Jul-18 03:46 AM
Hey guys I have a question, how exactly do you go about developing a blockchain with komodo(edited)
Nano10-Jul-18 04:18 AM
I am looking to create a blockchain and ICO for the tokenization of real-world assets using legally binding smart contracts/POE for asset issuers and holders. I was hoping to find a good platform to develop this blockchain upon thats really time effective because I am limited on funds to develop this with. Would Komodo be a good platform?(edited)
DLT Novice10-Jul-18 05:12 AM
getting agama saying no server connection and to change in settings. but both 1 and 2 are not connecting
GatewayBOT10-Jul-18 05:32 AM
[matrix] <polycryptoblog:matrix.org> Is your wallet updated to 2.41
In spite of what idiots proclaim, Komodo never "attacked" any coin/exchange. afaik
4
sashau10-Jul-18 08:38 PM
@discord-bot do you have faq
Alright10-Jul-18 08:41 PM
Just pm'd that guy, he's spreading flat out misinformation
like not even related to what you'd expect
ComputerGenie10-Jul-18 08:44 PM
@1TheGhostProject can you even start to support your position and point to such "attacks", or are you just going by what you read from unSafeCoin fanbois?
 Beau match
1
1
metaphilibert10-Jul-18 09:32 PM
For me, the amazing amount of energy and will put by @ComputerGenie in demystification and explanations in this safecoin "attack affair" makes him the best advisor on this domain
and please, let's put such insignificant things like football stuff in #talk-other-topics(edited)
no i am not disgusted at all
jl777c10-Jul-18 09:39 PM
what is this "football"?
1
SHossain10-Jul-18 09:48 PM
@Alright your requested emoji is here
@Yassin you have
1
Alright10-Jul-18 09:49 PM
TheMaskedMan10-Jul-18 09:53 PM
@jl777c its when your feet have testicles
1
metaphilibert10-Jul-18 10:00 PM
@jl777c a basic game with guys running around trying to kick a ball
but with also a potential impact on History, due to the overwhelming media pressure
GatewayBOT10-Jul-18 10:01 PM
[matrix] <polycryptoblog:matrix.org> I thought it was a game where they throw a ball and tackle each other
SHossain10-Jul-18 10:01 PM
i remember watching part of a match in that kebab shop with you guys. nice food and nice game
1
that was the only match i watched this year
GatewayBOT10-Jul-18 10:02 PM
[matrix] <polycryptoblog:matrix.org> Yes
metaphilibert10-Jul-18 10:02 PM
ex concerning last one, Belgium needs much more than France a unity spirit (Mr Macron who is definitely very lucky would certainly disagree)
we were at a significant fork in the tree of possibles and i am sure that Belgium and France (and by extension Europe, World and surroundings) History are different depending on... a game with a ball(edited)
was a pleasure to share your only match this year @SHossain
i watch it every 4 years (or 2 sometimes), and was more closely following this year, i am still amazed of the mass social effect
SHossain10-Jul-18 10:05 PM
i would rather read what you guys type in here than watching TV or a game
Yassin10-Jul-18 10:07 PM
Sorry for you @metaphilibert
metaphilibert10-Jul-18 10:08 PM
when wife and tv are on just a few meters from your laptop, you tremendously optimize your "watching tv" time
when the loudness reach a certain level, you watch
Yassin10-Jul-18 10:09 PM
@SHossain I prefer Belgium , but good
game , sorry I have too drink hahah1ha(edited)
SHossain10-Jul-18 10:10 PM
my cable is always disconnected from the box. the box is never connected to TV. TV is connected to computer as a means of big screen. (edited)
metaphilibert10-Jul-18 10:12 PM
not acceptable configuration here lol
too many litlle users here, dedicated line
anyway i feel i need a period of mourning of at least 6h(edited)


Search and add gene to the GO ribbon: (can use gene symbol or model organism ID such as RGD:3889)
OR
Load GO ribbon with multiple genes: (requires model organism IDs such as RGD:3889, MGI:1099800, HGNC:11998)
Remove all genes from GO ribbon:
Additional Notes
The Ribbon provides a summary of the annotations associated to your genes, but it does not inform on which are the most relevant functions in a gene set. To find out the statistically relevant functions of a gene set, please use the Enrichment Analysis approach
The GO COVID-19 page is an illustration of how the GO Ribbon and Enrichment Analysis can be used together to both show the existing functions of a gene set and highlight the functions that are over or under represented (over representation test)
The Ribbon is a generic web component that can easily be integrated in other websites, independenly of the framework used. It is freely available on GitHub. As an example, the Ribbon is used to represent both GO, Disease and Expression data on the Alliance website


SILO is the application all NGO's, Social Activists and Emergency Response organizations should get their hands on.
With our comprehensive data collected from our users, SILO pushes to create awareness and solutions to problems
that riddle our society. Conflicts are erupting all over the globe and it is our duty as citizens of this planet to
work together and help one another.
SILO's Conflict Map provides an avenue for Emergency Response teams to be up-to-date with conflicts around the globe.
Our responsive map populates with locations where there is an ensuing conflict.
Children and adolescents living with domestic violence are at increased risk of experiencing emotional, physical and sexual abuse, of developing emotional and behavioral problems and of increased exposure to the presence of other adversities in their lives.
SILO's Child Abuse Database aims to provide organizations with data that will help in both creating awareness and also a solution
to the increasing number of child abuse cases in our communities.


The number of attempts that will be made to loop through the specified list of installers.
In the event that no installer succeeds during the first pass through the list, this allows the entire list to be attempted again, up to the limit specified. Zero or negative numbers are ignored: If a number less than 1 is specified then the number 1 will be used instead, so the list will always be attempted.
Note that this is cumulative with the "per installer" attempts, so if both are set to 3 then (in the event of repeated failure) an installer may be attempted 9 times.


Some info about project 1
Some info about project 2
Some info about project 3
Some info about project 4


density
C++11 library for paged memory management, function queues, heterogeneous queues and lifo memory management
Main Page
Related Pages
Namespaces
Classes
Files
Class List
Class Index
Class Hierarchy
Class Members
All
Functions
Variables
Typedefs
Related Functions
a
c
d
e
f
g
h
i
l
m
o
p
q
r
s
t
u
~
- t -
try_allocate() :
basic_default_allocator< PAGE_CAPACITY_AND_ALIGNMENT >
try_allocate_page() :
basic_default_allocator< PAGE_CAPACITY_AND_ALIGNMENT >
try_allocate_page_zeroed() :
basic_default_allocator< PAGE_CAPACITY_AND_ALIGNMENT >
try_consume() :
conc_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE >
,
function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE >
,
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_dyn_push() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_dyn_push_copy() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_dyn_push_move() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_emplace() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_pin_page() :
basic_default_allocator< PAGE_CAPACITY_AND_ALIGNMENT >
try_pop() :
conc_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_push() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_raw_allocate() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >::put_transaction< ELEMENT_COMPLETE_TYPE >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >::reentrant_put_transaction< ELEMENT_COMPLETE_TYPE >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >::put_transaction< ELEMENT_COMPLETE_TYPE >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >::reentrant_put_transaction< ELEMENT_COMPLETE_TYPE >
try_raw_allocate_copy() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >::put_transaction< ELEMENT_COMPLETE_TYPE >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >::reentrant_put_transaction< ELEMENT_COMPLETE_TYPE >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >::put_transaction< ELEMENT_COMPLETE_TYPE >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >::reentrant_put_transaction< ELEMENT_COMPLETE_TYPE >
try_reentrant_consume() :
conc_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE >
,
function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE >
,
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_reentrant_dyn_push() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_reentrant_dyn_push_copy() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_reentrant_dyn_push_move() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_reentrant_emplace() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_reentrant_pop() :
conc_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_reentrant_push() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_reserve_lockfree_page_memory() :
basic_default_allocator< PAGE_CAPACITY_AND_ALIGNMENT >
try_start_consume() :
conc_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_dyn_push() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_dyn_push_copy() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_dyn_push_move() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_emplace() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_push() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_reentrant_consume() :
conc_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_reentrant_dyn_push() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_reentrant_dyn_push_copy() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_reentrant_dyn_push_move() :
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_reentrant_emplace() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
try_start_reentrant_push() :
lf_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
lf_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, CONSISTENCY_MODEL >
,
sp_function_queue< CALLABLE, ALLOCATOR_TYPE, ERASURE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
,
sp_heter_queue< RUNTIME_TYPE, ALLOCATOR_TYPE, PROD_CARDINALITY, CONSUMER_CARDINALITY, BUSY_WAIT_FUNC >
type() :
dynamic_reference< RUNTIME_TYPE, CV_QUALIFIER >
type_info() :
runtime_type< FEATURES >
Generated by
1.8.11


domosaics.model.arrangement.io
Class XdomReader
java.lang.Object
domosaics.model.io.AbstractDataReader<DomainArrangement>
domosaics.model.arrangement.io.XdomReader
- All Implemented Interfaces:
- DataReader<DomainArrangement>
public class XdomReader
- extends AbstractDataReader<DomainArrangement>
The Xdom-Parser parses Xdom-formatted files which are produced
for example by the MKDOM program.
If the superclass method AbstractDataReader.getDataFromString(String)
is called to create the arrangements, it must be ensured that each line
contains a line separator.
The description for a protein entry within the file is formatted as followed:
> Headerline
Domainline1
Domainline2...
with headerline looking like:
>[\\s+]ProteinID[\\s+ SequenceLength][\\s+ Description]
and domain lines like:
From \\s+ To \\s+ DomainID [\\s+ e-value]
Empty lines as well as comment lines starting with # are allowed.
- Author:
- Andreas Held
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
XdomReader
public XdomReader()
getData
public DomainArrangement[] getData(java.io.Reader reader)
throws java.io.IOException
- Parses a xdom formatted file. See also
DataReader
.
- Specified by:
getData
in interface DataReader<DomainArrangement>
- Specified by:
getData
in class AbstractDataReader<DomainArrangement>
- Parameters:
reader
- Reader generated from a stream, file or string
- Returns:
- parsing result
- Throws:
java.io.IOException
- exceptions which may occur during the parsing progress.- See Also:
DataReader


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