fastify-check-runtime-env
Fastify Plugin to check runtime environment properties
The purpose of this plugin is to let Fastify web applications do some checks
on some properties available at runtime (for example at application startup).
By default any checker method that doesn't satisfy its condition
will throw Error
, but in some cases this is configurable via plugin options.
Note that all Chechers features exposed here are in the the library check-runtime-env. For Semantic Versioning checks, see semver.
Usage
A common use case is to throw an exception at application startup,
if Node.js version is not compatible with the one set in package.json
.
const fastify = require('fastify')()
const engines = require('../package.json').engines
// register plugin with some options
fastify.register(require('fastify-check-runtime-env'), {
// nodeStrictCheckAtStartup: true, // same as default
nodeVersionCheckAtStartup: true,
nodeVersionExpected: engines.node
// nodeVersionExpected: '<=10.13.0 >=200.0.0', // sample failing test
// onCheckMismatch: 'exception' // throw an exception // same as default
})
fastify.listen(3000)
// curl http://<IP_ADDRESS>:3000/ => returning the home page, if current Node.js versio in compatible with the expected one
In the example folder there are some simple server scripts that uses the plugin (inline but it's the same using it from npm registry).
Requirements
Fastify ^4.0.1 , Node.js 14 LTS (14.15.0) or later. Note that plugin releases 3.x are for Fastify 3.x, 4.x are for Fastify 4.x, etc. Old plugin releases (0.x) are for Fastify 2.x but are now obsolete.
Sources
Source code is all inside main repo: fastify-check-runtime-env.
Documentation generated from source code (library API): here.
Note
The plugin decorate Fastify and expose some functions:
CheckRuntimeEnv
, the checkers implementation, as a class (RuntimeEnvChecker); but note that to use it you need to wait for this plugin to be fully loaded and initialized
Plugin options are:
onCheckMismatch
, define what to do if a checker fails (Node.js version does not match with the expected one, JavaScript not in strict mode, etc); by default 'exception' to raise an Error, but could be 'warning' (to log a message in Fastify logs), or 'exit' (to stop current Node.js process) with exit code 1nodeStrictCheckAtStartup
, flag to tell (when true) to check JavaScript strict mode; by default true (safer and already enforced as default mode in modern JavaScript code using classes, ES Modules, etc)nodeVersionCheckAtStartup
, flag to tell (when true) to check Node.js version at application startup; by default false- 'nodeVersion' the current Node.js version (by default 'process.version')
nodeVersionExpected
, the semver string with the expected Node.js version (by default empty, so must be manually provided, for example reading 'package.json' attribute 'engines.node' if specified)
all plugin options are optional, and have a default value.
License
Licensed under Apache-2.0.


| suppressDependencies {htmltools} | R Documentation |
This suppresses one or more web dependencies. It is meant to be used when a dependency (like a JavaScript or CSS file) is declared in raw HTML, in an HTML template.
suppressDependencies(...)
... |
Names of the dependencies to suppress. For example,
|
htmlTemplate
for more information about using HTML
templates.


--- layout: raw title: about me header: about me group: navigation --- {% include JB/setup %}
Technical consultant on weekdays, weightlifter/CrossFitter in the evenings, piggy 24/7, local island girl at heart, and the biggest dog-lover you'll ever meet! I absolutely love food! I started this blog to document all my recipes.


Maura Higgins risks flashing everything in dramatic dress at Radio 1 Teen Awards
The Love Island star joined the likes of Strictly's Saffron Barker, Little Mix's Jade Thirlwall and Perrie Edwards and fellow Islander Amber Gill at the showbiz bash
by Vicki Newman, https://www.mirror.co.uk/authors/vicki-newman/Maura Higgins dared to bare on the Radio 1 Teen Awards red carpet as she risked flashing everything.
The Love Island beauty looked incredible as she headed into the annual showbiz bash at London's Television Centre.

Her dress had long sleeves that were trimmed with feathers that made her stand out from the crowd even more.

The happy couple wrapped their arms around each other as they smiled for photographers.
Curtis also posed up with his big brother, Strictly Come Dancing professional AJ Pritchard.
AJ opted for an all-black look of fitted trousers, a T-shirt and chunky lace up boots.
Little Mix beauties Jade Thirlwall and Perrie Edwards also hit the red carpet, although they were there without their bandmates Jesy Nelson and Leigh-Anne Pinnock.
The girls held hands as they posed for snappers.

Jade let her long hair hang free in loose curls while Perrie opted to pull her blonde tresses back in a classic up do.
Strictly's Saffron Barker was there too, braving the cold in a strapless black minidress with a scarf wrapped around her shoulders.
Love Island's Amber drew attention to her enviable pins in a cute corset dress with a sheer polka dot skirt and matching sleeves.
She posed on the red carpet with co-star and pal Ovie Soko.
Now that they're both single, people are dying to see them couple up.
But Amber has described the hunky basketball player as her "brother".
Strictly's Dev Griffin and Diane Buswell reunited as they attended the event together.
Diane accentuated her signature red locks with a shimmering mauve one-shouldered dress, that she paired with polka dot tights and heels.
Dev looked smart in navy checked trousers and a red velvet jacket on top of a black T-shirt.
TV presenter Maya Jama posed up on the carpet with former Saturdays star Mollie King.
Maya opted for a green dress with a dramatic thigh split and boots that matched her gown, while Mollie went for a yellow qipao-style dress.
TOWIE and X Factor : Celebrity star Megan McKenna was there too.

Do you have a story to sell? Get in touch with us at<EMAIL_ADDRESS>or call us direct 0207 29 33033


For this C warmup project you’ll be implementing a key-value store. This project is taken directly from our textbook authors, so all the details can be found here.
One clarification: In the instructions, they note that the value of a
put
can be “an arbitrary string (without commas in it).” We will
assume the value also cannot contain spaces.
The recommended way to compile the program is (note that $
denotes
the command prompt):
$ gcc -o kv kv.c
Please read the lab tutorial (linked to from the instructions page) for more details. If you compiled like that you can run it like this:
$ ./kv p,10,hello
$ ./kv g,10
10,hello
Testing is vital – test early and often. You can test manually by running the program several times and verifying the output. But it’s better to have some automated tests so you can run many tests very quickly, and do so after every change you make. In fact, the philosophy of ‘test-driven development’ states that you should usually write a test first, observe that it fails, and then make a small change to the program to make the test pass. This process is then repeated until the program is complete.
To facilitate your testing, you can use this Python
script that I wrote. It runs several tests using
Python’s unittest
model, launching your program each time (assuming
your program is named kv
and is in the same directory as the Python
script). I only provided a few basic tests; you will want to write
your own additional tests.
Submit using handin
on the department server:
$ handin comp345 proj1 kv.c
Due Friday, 1/20 by the start of class


{% load static %}
We received your email and we will respond shortly...
Ashulia Model Town, Dhaka, Bangladesh
+8801756-770501
niloy.swe@gmail.com


SwiftUI Kara and Karatext @zuyetawarmatik
.....................
You'd
better
watch
out!
You'd
better
not
cry!
You'd
better
not
pout
I'm
telling
you
why,
Santa
Claus
is
comin'
to
town.
(Santa
Claus
is comin'
to
town)
He's
making
a
list
and
checking
it
twice.
He's
going to
find out
who's
naughty
or
nice.
Santa
Claus
is
comin'
to
town.
(Santa
Claus
is comin'
to
town)
He
sees
you
when
you
are
sleeping.
He
knows
when
you're
awake.
He
knows
if
you've
been
bad
or
good.
So
be
good
for
goodness
sake!
You'd
better
watch
out!
You'd
better
not
cry!
You'd
better
not
pout
I'm
telling
you
why,
Santa
Claus
is
comin'
to
town.
(Santa
Claus
is comin'
to
town)
(Santa
Claus
is comin'
to
town)
(Santa
Claus
is comin'
to
town)
(Santa
Claus
is comin'
to
town)
You'd
better
watch
out!
You'd
better
not
cry!
You'd
better
not
pout
I'm
telling
you
why,
Santa
Claus
is
comin'
to
town.
He's
coming
to
town.
He's
making
a
list
and
checking
it
twice.
He's
going to
find out
who's
naughty
or
nice.
Santa
Claus
is
comin'
to
town.
(Santa
Claus
is comin'
to
town)
He
sees
you
when
you
are
sleeping.
He
knows
when
you're
awake.
He
knows
if
you've
been
bad
or
good.
So
be
good
for
goodness
sake!
You'd
better
watch
out!
You'd
better
not
cry!
You'd
better
not
pout
I'm
telling
you
why,
Santa
Claus
is
comin'
to
town.
(Santa
Claus
is comin'
to
town)
Santa
Claus
is
comin'
to
town.
Santa
Claus
is
comin'
to
town.
Santa
Claus
is
comin'
to
town.
Santa
Claus
is
comin'
to
town.
Santa
Claus
is
comin'
to
town.
Santa
Claus
is
comin'
to
town.
Santa Claus Is Coming To Town
It's Christmas Time
Cascada
-:--
/
-:--


|
|
ostream & | operator<< (ostream &stream, bool x) |
| | output operator for bool
|
| |
|
ostream & | operator<< (ostream &stream, const char *s) |
| | output operator for const char pointer (literal string)
|
| |
|
ostream & | operator<< (ostream &stream, int x) |
| | output operator for integer
|
| |
|
ostream & | operator<< (ostream &stream, short int x) |
| | output operator for short integer
|
| |
|
ostream & | operator<< (ostream &stream, long int x) |
| | output operator for long integer
|
| |
|
ostream & | operator<< (ostream &stream, long long int x) |
| | output operator for long long integer
|
| |
|
ostream & | operator<< (ostream &stream, short unsigned int x) |
| | output operator for short unsigned integer
|
| |
|
ostream & | operator<< (ostream &stream, unsigned int x) |
| | output operator for unsigned integer
|
| |
|
ostream & | operator<< (ostream &stream, unsigned long int x) |
| | output operator for unsigned long integer
|
| |
|
ostream & | operator<< (ostream &stream, unsigned long long x) |
| | output operator for unsigned long long integer
|
| |
|
ostream & | operator<< (ostream &stream, signed char c) |
| | output operator for signed char (prints as integer)
|
| |
|
ostream & | operator<< (ostream &stream, unsigned char c) |
| | output operator for unsigned char (prints as integer)
|
| |
|
(Note that these are not member functions.)
|
| bool | showpos (void) const |
| | return the current showpos setting More...
|
| |
| bool | showpos (bool x) |
| | set the showpos setting, return the old showpos setting More...
|
| |
| bool | showbase (void) const |
| | return the current showbae setting More...
|
| |
| bool | showbase (bool x) |
| | set the showbase setting, return the old showbase setting More...
|
| |
| bool | boolalpha (void) const |
| | return the current boolalpha setting More...
|
| |
| bool | boolalpha (bool x) |
| | set the noboolalpha setting, return the old noboolalpha setting More...
|
| |
| char | fill (void) const |
| | return the current fill char setting More...
|
| |
| char | fill (char x) |
| | set the fill char setting, return the old fill char setting More...
|
| |
formatted character output
This class is an std::ostream work-alike for small embedded systems. Most formatting features of std::ostream are supported. Floating point values are not supported.
This class is abstract: a concrete subclass must implement putc() (and, when appropriate, flush()).


Gold bulls taking back control on trade-war angst, eye $1,487
by Ross J Burland- Gold is bid in a jittery climate due to trade war angst for which gold can be expected to be a top priority for portfolio managers.
- A 161% extension meets the 200 4-hour moving average located at $1487.
Spot gold is currently trading at $1,473.51 at the time of writing, slightly off -0.08% having moved within a $12 range between $1,466.02 and $1,478.88. Gold has been in a chop in Asia on Thursday as trade headlines take up the market's focus.
A series of news has been making for a jittery climate for which gold can be expected to be a top priority for portfolio managers as we approach the holiday season and less liquid markets; Indeed, gold can attract a safe-haven demand at times of volatility where investors will be looking for a place to invest their idle capital, especially should stock markets take a turn for the worst.
Trade war headlines take up the focus
The discussions over ‘phase one’ of the US-China deal continue to drag on. "The latest report was that the rolling back of tariffs will be tied to the preliminary terms set when the trade talks failed in May," as analysts at ANZ Bank explained, noting that "the Chinese have reportedly demanded that all tariffs imposed after May be removed immediately and then tariffs imposed before that be lifted gradually...Regardless, the difficulty passing even the limited scope of ‘phase one’ highlights how tough getting a substantive ‘phase two’ agreement will be."
Overnight, a Reuters report highlighted how there are risks that a Phase One deal will not be passed prior 2020 which played havoc on risk sentiment and associated markets. Gold responded in kind and rallied, as did the Yen. US 2-year treasury yields continued to probe yesterday afternoon’s low at 1.56% and the 10-year yields were testing 1.73%. considering that the markets are only pricing only a 5% chance of easing at the December meeting and with the Federal Open Market Committee minutes underpinning a hold and wait and see approach from the Federal Reserve, gold can continue to enjoy subsequent demand.
-
White House Deputy Press Sec, Deere: “Negotiations are continuing and progress is being made on the text of the phase-one agreement” - Fox
-
Trump expected to sign Hong Kong bill into law, various trade headlines weighs on risk sentiment
Gold levels
Bulls had breached the 61.8% Fibonacci retracement of yesterday's range which opens scope for a 100% recovery should the price break the confluence of the resistance line marked by the 14th and 18th Nov highs. A 161% extension meets the 200 4-hour moving average located at $1487.
XAU/USD
| Overview | |
|---|---|
| Today last price | 1473.62 |
| Today Daily Change | 1.13 |
| Today Daily Change % | 0.08 |
| Today daily open | 1472.49 |
| Trends | |
|---|---|
| Daily SMA20 | 1483.7 |
| Daily SMA50 | 1491.93 |
| Daily SMA100 | 1480.71 |
| Daily SMA200 | 1395.85 |
| Levels | |
|---|---|
| Previous Daily High | 1475.43 |
| Previous Daily Low | 1465.08 |
| Previous Weekly High | 1474.6 |
| Previous Weekly Low | 1445.8 |
| Previous Monthly High | 1519.04 |
| Previous Monthly Low | 1455.5 |
| Daily Fibonacci 38.2% | 1471.47 |
| Daily Fibonacci 61.8% | 1469.03 |
| Daily Pivot Point S1 | 1466.57 |
| Daily Pivot Point S2 | 1460.64 |
| Daily Pivot Point S3 | 1456.21 |
| Daily Pivot Point R1 | 1476.92 |
| Daily Pivot Point R2 | 1481.35 |
| Daily Pivot Point R3 | 1487.28 |


The <javaNativeMethod> element flags that the method as implemented in code is native for the platform.
Possible alternative definitions of the method declaration are the javaFinalMethod, javaNativeMethod, and javaSyncronizedMethod elements. The <javaNativeMethod> element must not be used with the <javaAbstractMethod> element. This element has the following predefined attributes: name ="native" and value ="native".
<javaMethod id="com.ibm.xtools.pluglets.engine.OutputStream"> <apiName>getInstance</apiName> <shortdesc>Native is a singleton class.</shortdesc> <javaMethodDetail> <javaMethodDef> <javaStaticMethod/> <javaNativeMethod/> <javaMethodAccess value="public"/> <javaReturn> <javaMethodClass href=".../api/java/platform/Native.html" format="html" scope="local">Native</javaMethodClass> </javaReturn> </javaMethodDef> <apiDesc>Use this method to create a Native object.</apiDesc> </javaMethodDetail> </javaMethod>


LSU Football Star Has A Message For Texas A&M
by Andrew HolleranLSU and Texas A&M played the craziest game of the 2018 college football season. The Tigers and the Aggies went to seven overtimes. Jimbo Fisher’s team ended up winning, 74-72, in the wildest contest of the year.
We’ll have the rematch on Saturday.
LSU is set to host Texas A&M in Baton Rouge on Saturday night.
Tigers’ star linebacker K’Lavon Chaisson had a message for the Aggies following his team’s win over Arkansas.
“We owe them,” he tweeted.
LSU is looking to finish the regular season at 12-0. The Tigers have already locked up a spot in the SEC Championship Game.
The Tigers and the Aggies are set to kick off at 7 p.m. E.T. on Saturday night.
The game will be on ESPN.


In this example the 'valueNotInObjectsDirective'-directive will check if the number you're typing is in the Telephones-list. If this is the case a validation error will be shown.
The numbers below must be unique.


Hmm, this level doesn’t seem to exist. You may have reached the end of the game.
If you’d like to see more levels, please tweet @toolness. Or fork the code and add your own levels!
Hmm, something went awry when trying to load this level.
Please try again later.


A standard GO annotation is a gene product associated to a GO term, using an evidence code and a supporting reference (a primary research article, for example). The GO term may come from any of the three aspects of the GO: Molecular Function (MF), Biological Process (BP), or Cellular Component (CC). Gene products can correspond to proteins, complexes, or non-coding RNAs, and must be represented by a stable identifier. Gene identifiers may serve as representative of one or more gene products. The following is an illustration of a GO annotation:
A GO-CAM model is a combination of standard GO annotations to produce a network of annotations ("model"), that is a more complete model of biological function than the separate annotations. For example, a GO-CAM can represent how the activities of different gene products work together in a pathway or “biological program.” GO-CAM models can connect different pieces of information about the function of a gene product (joining together different annotations for the same gene product), and/or can connect functions of different gene products together by specifying how the activity of one gene product can affect the activity of another gene product. All connections in a GO-CAM model are made using clearly defined semantic relations from the Relations Ontology.
One major difference between standard annotations and GO-CAM models is that the former does not have explicit relations between the gene product being annotated and the GO term. In GO-CAM models, using defined, semantic relations allows us to capture how a gene product’s molecular function relates to other aspects of GO. Specifically, in GO-CAM a gene product’s activity occurs_in a specific cellular component, meaning that gene product is active in that cellular component (the meaning of a standard GO cellular component annotation). In GO-CAM a gene product’s activity is executed as part_of a larger biological process (biological program) which is the meaning of a standard GO biological process annotation. In turn, a biological process can be nested inside an even larger biological process.
Once the GO-CAM unit has been created (MF + BP + CC), these different units can be linked to each other (via the molecular activity) to represent a Causal Activity Model. The most common relations are directly (positively / negatively) regulates and directly provides input for, but there are other relations of greater and lesser specificity, depending on what is known. Regulates should be used to denote biological control of a downstream activity. Provides input for should be used when there is no control, but an upstream function creates a molecular entity that is the target of the downstream function, such as in a metabolic pathway.
We recognize that the knowledge of biology is incomplete; in cases where some or most of these aspects are unknown, a model may still be constructed with details added as more information becomes available. Users should attempt to specify functions as fully as possible, but partial models are expected and still contribute to the GO knowledgebase.
To learn more about our curation process, please visit the documentation of the Noctua Curation Platform.
GO-CAMs can be “decomposed” into the standard GO annotations (connecting a gene product to a single GO term) that they are constructed from. This is accomplished in two ways. The first way is to simply take the GO terms that are connected to a gene product via a defined chain of relations. Specifically, for molecular function annotations, the decomposition starts with the MF (the activity, which is central), and follows the enabled_by edge to the gene product (or complex). For cellular component, it starts with the MF and then traces through enabled_by to get the gene product, and from MF through occurs_in to get the cellular component; biological process is similar except that it traces from MF through part_of to get the biological process (and more than one part_of if the process is nested inside a larger process). The second way is to apply logical reasoning to infer additional GO terms that are not explicitly in the model, but can be inferred from logical definitions (“equivalence axioms”) in the ontology. For instance, if a protein binding activity is enabled by a gene product, and that activity has a directly_regulates relationship to a protein kinase activity, the reasoner can infer that the protein binding activity also meets the definition of the GO term protein kinase activator activity, and that standard annotation will also be made.
Code handling the export of standard GO annotations from a GO-CAM model is provided by the Minerva software, which is the data handling backend for Noctua. This code extracts an initial set of proposed standard GO annotations from a model, and then applies filters ensuring that appropriate metadata, such as an ECO evidence code, is obtained for each annotation.


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Hexagon
objects on the grid.Hexagon
objects on the grid
considering the presence of obstacles.GridLayoutStrategy
.Hexagon
s in this grid.Hexagon
as not visited, after a recursive exploration.AxialCoordinate
based on a key.Hexagon
objects which fit in the shape
of the requested layout.HexagonalGrid
which has a rectangular
shape.


Dharmabot Privacy Policy
This chatbot privacy policy describes how Dharmabot protects and makes use of the information you give Dharmabot when you use this chatbot.
If you are asked to provide information when using this chatbot, it will only be used in the ways described in this privacy policy.
This policy is updated from time to time. The latest version is published on this page.
This chatbot privacy policy was updated on: 17th June 2018
If you have any questions about this policy, please contact Nicolas Pettican.
Introduction
We gather and use certain information about individuals in order to provide products and services and to enable certain functions on this chatbot.
We also collect information to better understand how visitors use this chatbot and to present timely, relevant information to them.
What data we gather
We may collect the following information:
- Name and gender.
- Demographic information, such as locale and timezone.
- Chatbot usage data.
How we use this data
Collecting this data helps us understand what you are looking from Dharmabot, enabling us to deliver an improved service.
Specifically, we may use data:
- To customise the chatbot for you.
- To improve the service.
- To ensure the messages adhere to your time of day.
Controlling information about you
We will never lease, distribute or sell your personal information to third parties unless we have your permission or the law requires us to.
Any personal information we hold about you is stored and processed under our data protection policy, in line with the Data Protection Act 1998.
Security
We will always hold your information securely. To prevent unauthorised disclosure or access to your information, we have implemented strong physical and electronic security safeguards.
We also follow stringent procedures to ensure we work with all personal data in line with the Data Protection Act 1998.
How to gain access to it
If any point you want us to remove your data, contact Nicolas Pettican and we will give you a subject access request form to fill out.
Links from our site
Our chatbot may contain links to other websites.
Please note that we have no control of websites outside the facebook.com & messenger.com domains. If you provide information to a website to which we link, we are not responsible for its protection and privacy.
Always be wary when submitting data to websites. Read the site’s data protection and privacy policies fully.


While similar to graphics::pie()
, this function is much more
flexible as it allows providing different parameters for each slice of the pie.
Furthermore, it allows adding the plot to the current device, making it possible
to create compound piecharts.
piechart(x, labels = names(x), radius = 1, doughnut = 0, origin = c(0, 0), edges = 200, slice.off = 0, init.angle = 0, last.angle = 360, tick.len = 0.1, text.args = list(), segments.args = list(), skip.plot.slices = FALSE, add = FALSE, rescale = TRUE, ...)
| x | Numeric vector. Values that specify the area of the slices. |
|---|---|
| labels | Character vector of length |
| radius | Numeric vector. Radious of each slice (can be a scalar). |
| doughnut | Numeric scalar. Radious of each inner circle (doughnut) (can be a scalar). |
| origin | Numeric vector of length 2. Coordinates of the origin. |
| edges | Numeric scalar. Smoothness of the slices curve (can be a vector). |
| slice.off | Numeric vector. When |
| init.angle | Numeric scalar. Angle from where to start drawing in degrees. |
| last.angle | Numeric scalar. Angle where to finish drawing in degrees. |
| tick.len | Numeric scalar. Size of the tick marks as proportion of the radius. |
| text.args | List. Further arguments passed to |
| segments.args | List. Further arguments passed to |
| skip.plot.slices | Logical scalar. When |
| add | Logical scalar. When |
| rescale | Logical scalar. When |
| ... | Further arguments passed to |
A list with the following elements:
A list of length length(x)
with the coordinates of each
slice.
A numeric matrix of size length(x)*2
with
coordinates where the labels can be put at.
A numeric vector of size length(x)
with the starting
degree in radians of the slice.
A numeric vector of size length(x)
with the ending
degree in radians of the slice.
The function is a wrapper of graphics::polygon()
,
so all parameters such as color, density, border, etc. are passed directly
by mapply()
so that are specified one per slice. The coordinates
of the slices are computed internally.
https://commons.wikimedia.org/wiki/File:Nightingale-mortality.jpg
# Example 1 ----------------------------------------------------------------- # A set of 3 nested rings rings starting at 315 deg. and ending at 270 deg. # Values to plot vals <- c(1,2,3,10) # Outer (includes labels) piechart(vals, col=grDevices::blues9[5:8], border=NA, doughnut = .5, radius=.75, labels=vals, init.angle = 315, last.angle = 270)# Middle piechart(vals, col=grDevices::blues9[3:6], border=NA, doughnut = .3, radius=.5, add=TRUE, init.angle = 315, last.angle = 270)# Inner piechart(vals, col=grDevices::blues9[1:4], border="gray", doughnut = .1, radius=.3, add=TRUE, init.angle = 315, last.angle = 270)# Example 2 ----------------------------------------------------------------- # Passing values to polygon and playing with the radius and slice.off piechart(1:10, density=(1:10)^2/2, slice.off = (1:10)/30, doughnut = .5, radius = sqrt(10:1), # Here we are setting random labels... labels=sapply(1:10, function(x) paste(sample(letters, x, TRUE), collapse="")) )


VEHICLE TRACKING AND FLEET MANAGMENT SYSTEM
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Route
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Configuration
Vehicle Master
Driver Details
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User
No Movement
School
Student Entry
Welcome to Test
Log out
No Movement Entry
New No Movement Entry
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Vehicle No
Group
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Select
Start Date:
End Date:
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End Time:
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%snooze%
Repeat On :
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--- layout: post title: Alpha developers tags: [agile] ---
Long time no blogging, I’m in the middle of a move to my new place. That does mean that I’ll loose my pagerank again when my blog is going to be moved to a new host soon… And may be unavailable for a few days!
Anyway, thanks to technorati, I found IDisposable blog and specifically this entry about alpha developers.
Most companies try to enforce their methodologies and their toolkits upon all of their developers. Most of the time, they just don’t realize that they have these two kinds.
The alpha developer hates changing what he’s learnt. Not because he doesn’t want to learn something new, but mostly because he’s become an expert on the technology he’s working with and doesn’t want to give up that leadership. A geek is only recognized by his excellence, and in that case, a toolkit or a programming style.
Should the toolkit developers in the company just stop enforcing their toolkits? Nope. First, toolkits are good. They enforce an architecture that is corporate wide. Second, they reduce coding costs. Third, they can provide toolkits across languages. But these tenets only applies to the Line developer. The alpha developer doesn’t want his work easier. He likes to make his work easier by using his own toolkits. He will only resort to use his company’s toolkits if there’s an advantage to the one he’s using himself. What to do then?
To be honest, companies like these should not employ alpha developers, except as toolkit writers. Alphas are unmanageable, afraid of change, very sure of what they know (and more often than not with good reasons) and only find their job attractive because they are known for their technical expertise. Using their pride to move them in the right direction, from a management point of view, is the only alternative. A good manager should be able to put his own pride aside to push his developers forward, or he’s just not meant to be a manager.
One last suggestion to the companies out there. Don’t make mistakes when you assign roles to people. Knowing how to code in .net is not enough to write a .net toolkit.
Seriously. There’s a problem there. Or maybe I’m a bit extreme. Or just plainly tired of argument-less OS wars and of some people trying to compensate : “My OS is bigger than yours” (to be sing on the music of the success “My milkshake is better than yours”.
Heard somewhere else from what I recall being a PERL developer:
”As if you could write any scalable solution on a windows server…”
Well, ask Clemens, am sure he would have lots to say about writing hugely scalable solutions on Microsoft platforms. Oh well…
Am in a ranting mood today.


Harvest Year
Commodity
Total Acres
Average Yield
Estimated Basis
Crop Insurance Coverage
Productions Costs
Selling Price (Per Yield - Eth)
Harvest Year
Commodity
Total Acres
Average Yield
Estimated Basis
Crop Insurance Coverage
Productions Costs
Selling Price (Per Yield - Eth)


{% extends "view/rootpage.html" %} {% block title %}Register for the {{t.name}}{% endblock %} {% block content %}
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{% endif %} {% else %} You need to sign in with your Google account to register for this tournament. {% endif %} {% endblock %}


6 Days, 7 Nights
A Review
By Jeremiah Rickert
Starring: Harrison Ford, Anne Heche, David Schwimmer, Jacqueline Obradors Directed by: Ivan Reitman
Any film with Anne Heche manages to glom headlines because of her public relationship with Ellen DeGeneres. The film probably needs as much help as it can get, despite the box-office friendly Harrison Ford and Friend's puppy dog David Schwimmer rounding out the leads. My first reaction when I saw the preview for this film was "Romancing the Stone" but without the on-screen chemistry of Turner and Douglas, and for the most part, I was right.
The plot is fairly thin, relying on the interaction between characters to drive it for the most part. Some of their banter is funny and cute, but the two big leads, a fashion editor played by Anne Heche (Volcano, Wag the Dog, Donny Brasco) and a grizzled charter pilot played by king of the box office, Harrison Ford, just don't quite seem to mesh right on the screen, and I got the impression that if they hadn't kept tripping and falling into each other's arms, they wouldn't have had any relationship at all. Their lives intertwine when Ford's Quinn flies Heche's Robin and her fiance Frank played by David Schwimmer (Friends, Pallbearer, Breast Men) to an island paradise where Frank has chosen to be the place of their engagement. They seem oh-so-happy together in paradise, with the prospect of a long and happy married life before them. However, because Frank arranged with Robin's boss to get the week off in the first place, it turns out that she knows where to reach them and Robin gets asked to fly over to Tahiti for a quick photo-shoot. She (and $700) convince Quinn to fly her to the shoot and leave behind his buxom island beauty Anjelica, played by Jacqueline Obradors (Problem Child 3, Red Sun Rising).
Unfortunately, or fortunately, depending on how you look at it, they are forced to crash land because of a storm, and then all sorts of bonding takes place. All hope seems lost, especially when Robin accidentally shoots their only flare into a palm tree. With the landing gear damanged, the radio fried, and no apparent hope for rescue, they decide to explore the island, which leads to two scenes that seem almost purposefully plucked from Romancing the Stone, a mud-slide-ride, and the discovery of a crashed plane. Luckily the plan is a Japanese pontoon boat, and LUCKILY there happened to be a hack-saw in the plane. The final nudges to the plot involve some rather nasty pirates and Frank's infidelity with Anjelica.
This film could have worked if the chemistry between the leads had been better. For some reason Ford and Heche don't really click. They seemed fine individually, but don't really go together. Ford at times reminded me of Dennis Quaid in Great Balls of Fire, making some of the same faces and such, but really I thought the two of them did fine in their individual roles. Schwimmer plods through his role as the apparently sweet and romantic frank. However, it seems like he has so little personality when he's away from his sitcom pals. My theory is that the cast of Friend's has a collective borg-esque personality, and when they're alone they only have a tiny fragment, not enough to make a convincing performance at anything. (at least so far) Ajelical also comes up as a cliche and the two of them seem like a perfect pair.
Reitman is primarily a comedy director and there are some funny moments in the film, however some of them fall rather flat (like the pirates blowing themselves up). I also got a little bit tired of Heche's nipples in just about every scene she was in. It almost seems like they should have gotten some billing or some stunt credit or something. My final major beef was with the amount of convenient equipment he happened to have on board the plane, including a come-along which is just what every pilot carries I'm sure. I almost felt like humming the A-Team themsong.
Overall, the film was all right, I'm sure Ford's star-power will carry the film to decent returns. I'm not sure if Heche is star power yet, but she's certainly well-publicized. I was disappointed by the lack of chemistry between the leads, especially when it seems like that was the thing driving the film on, the supporting case was pretty much window-dressing as well, plodding through their roles with a seeming lack of interest. There were some good laughs, but the action and the apparently coruncopia of hardware in his plane were a little too much for me to swallow.
Of the $6.75 that I paid for this, it was worth about $3.00
Copyright 1998 Jeremiah Rickert
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During the last few years as a PhD student in AI and Deep Learning I met a lot of smart people and good data scientist both in the Academia and in the Industry. Still, I’ve always been surprise of how much of these folks still work with old tools and bad coding habits. Even though in the end is just about personal choices and tastes, I still believe that for high productivity and extra-safety measures some tools are better than others.
Moreover, especially if your are a young practitioner, it’s very easy to just follow your enthusiasm and start learning to solve interesting problems but with the wrong tools or attitude. In fact, as for playing a music instrument, you risk to get used to a poor designed set of tools and consequent bad behaviors which are much more difficult to change later on then starting directly with the right foot.
In this post I would like to share with you my preferred setup for Data Science
and Deep Learning
, so that you can jump right on this beautiful field without incurring in unnecessary headaches due to a poor tools setup. Of course this would be not the ideal arrangement for everyone out there, depending also on the specifics of each project, but I found it very general and useful for almost anything I do.
In a nutshell we’ll need:
- A good IDE.
- An easy-to-use playground (code and visualize) tool.
- An Experiments Manager.
- A good client/server configuration for heavy workloads.
- A good Deep Learning framework and simple ML off-the-shelf library.
Let’s analyze each of them in details.
A good IDE
Text files are amazing, I’m a huge VIM fan, still some IDE features are amazing and pretty easy to customize. Personally I love PyCharm which comes with a really interesting tool suit and a smooth interface.
Of all the features offered by an IDE what you should be looking first is a very robust code editor (with syntax highlighting, errors correction and smart suggestions) and a powerful debugging system!
To be continued… :-)
Authored by Vincenzo Lomonaco


If you live and work in a city, elevators undoubtedly play a crucial role in your everyday life. In fact, they move more than a billion people daily, making them the world’s most widely used – and safest – means of transportation. At Rocket Elevators, our innovative elevator solutions are shaping the future of urban mobility today.
From residential and office buildings to shopping centers, hotels, hospitals, train stations and airports: Rocket Elevators won numerous awards and participated in many major projects.
READ MOREMaking the space as functional and beautiful as possible. Just add imagination, the applications are endless. Elevators are a necessity in tall commercial buildings, but they also serve a purpose in residential properties.
READ MOREWhether you need to move a few people a few floors or thousands of people over a hundred floors, we have the right solution for you: reliability, shorter ride times and less congestion.
READ MOREGoing up is always the answer.”
Patrick Thibault Rocket Elevators CEO“Rocket Elevators has the right solution for your building.”
Cindy Okino Employee of the month


A 'ggplot2' extension that provides tools for automatically focusing specific factor levels.
| Version: | 0.8 |
| Imports: | magrittr, dplyr, rlang, RColorBrewer, ggplot2 |
| Published: | 2018-05-29 |
| Author: | Victor Freguglia |
| Maintainer: | Victor Freguglia <victorfreguglia at gmail.com> |
| BugReports: | https://github.com/Freguglia/ggfocus/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Freguglia/ggfocus |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ggfocus results |
| Reference manual: | ggfocus.pdf |
| Package source: | ggfocus_0.8.tar.gz |
| Windows binaries: | r-devel: ggfocus_0.8.zip, r-release: ggfocus_0.8.zip, r-oldrel: ggfocus_0.8.zip |
| OS X binaries: | r-release: ggfocus_0.8.tgz, r-oldrel: ggfocus_0.8.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ggfocus to link to this page.


Buhari condoles Atiku over Aide’s death - The Nation Newspaper
Agency Reporter
President Muhammadu Buhari has expressed condolence to former Vice President Atiku Abubakar over the death of a close aide, Alhaji Umar Pariya.
The President’s condolence message is contained in a statement by his Special Adviser on Media and Publicity, Mr Femi Adesina, in Abuja on Tuesday.
Adesina quoted President Buhari as saying: “I received the news of the death of your close aide, Alhaji Pariya, with a heavy heart. It is very touching to lose such a personal aide of many years.
READ ALSO: Buhari condoles with family of former Minister, Chief Akinyele
“May Allah grant you the strength to bear the irreparable loss.
‘‘May Allah grant his family the strength to absorb the impact of this death, forgive his shortcomings and reward his good deeds in the hereafter.”
(NAN)


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0.1.1 - 12/09
- Basic blog content - DONE
- Privacy policy - DONE
- Hide path border - DONE
- Fix audio - DONE
- Support for background sounds - DONE
- Remove redundant JS get/set methods - DONE
- Add JStat, Sylvester libraries - DONE
- Plot saved/expired citizens - DONE
- Make tiles more dynamic - DONE
- Irregular tile shapes - DONE
- 3D rendering - DONE
- Rotation/tilting - DONE
- Node.js - chat - DONE
- Install now.js - DONE
- Fix Mongodb on Heroku - DONE
- Install everyauth - DONE
- Test use of now.js (Problem with node-proxy on Windows) - DONE
- Test use of mongoose-auth (Problem with bcrypt on Windows) - DONE
- Use partials - DONE
- Authentication on Node - DONE
- List users in chat - DONE
- New GitHub for Node - DONE
- Update README (with Markdown) for node - DONE
- Jasmine on Node - DONE
- Jake on Node - DONE
- List users on Node - DONE
- List users in multiplayer - DONE
- Get all tests running on Jasmine Node - DONE
- Get all tests running on Jasmine Runner - DONE
- Rename 'agents' to 'fp' - DONE
- Fix mouse click correction in 3D - DONE
- Fix zoom correction for resource placement - DONE
- Setting to disable level info - DONE
- Setting to allow UI elements to be moved - DONE
- Consider use of jquery.terminal, jqconsole - DONE
- Basic integration of jqconsole - DONE
- JS mode in jqconsole - DONE
- FP mode in jqconsole - DONE
- Chat mode in jqconsole - DONE
- Resize to affect notifications, console - DONE
- Console expandable - DONE
- Expanded area closeable - DONE
- Fix Facebook fail - DONE
- Revisit namespacing - http://javascriptweblog.wordpress.com/2010/12/07/namespacing-in-javascript/ - DONE
- Agent mode in console - DONE
- Random start points for all agents - DONE
- Fix bug with restart - skip to 2nd wave - DONE
- Fix bug with editing level properties - DONE
- Add local mongodb for testing - DONE
- Persistent sessions - DONE
- Review level editing - DONE
- Loading indicator - DONE
- Draggable maps in level editing - DONE
- Remove map properties - DONE
- Random resource allocation - DONE
- Fix 3d offset positioning - DONE
- Fix clear space bug - DONE
- Fix editing maps bug - DONE
- Add clear mode - DONE
- Draw agents over resources in 2d - DONE
- Option to move around resources - DONE
- Fix expired agent placement - DONE
- Non-sharing tiles for agents - DONE
- Delete levels in editor - DONE
- Modify level width, height parameters - DONE
- Fix bug with editing cell allocation - DONE
- Separate dev,prod db environments - DONE
- Overall societal health - DONE
- Plot overall health (using jstat, jquery flot) - DONE
- Slow down - DONE
- Resource guidance - DONE
- Easy resize options - DONE
- Fix start, end point drawing in 3d - DONE
- Check credits, capabilities - DONE
- Fix level id - DONE
- Fix level sharing - DONE
- Refresh graph for new waves - DONE
- 9 new levels - DONE
- Switch domains - DONE
- Fix 2d gradient - DONE
- Fix editor bug - DONE
0.1.2 - 31/10
- Console login - DONE
- Fix notices bug - DONE
- Fix 3d clear resources bug - DONE
- Play simulation level - DONE
- Agents go to nearest exit - DONE
0.1.3 - 30/11
- http://johndyer.name/native-fullscreen-javascript-api-plus-jquery-plugin/ - DONE
- New full screen - DONE
- Use data attributes for level gallery (i.e. no HTML id attribute parsing) - DONE
- Levels in order & with dynamic thumbnails in gallery - DONE
- Resource/agent interaction - DONE
- No resources cross over - DONE
- Defence mode - DONE
- Trial new module - DONE
- Add expired agents to level - DONE
- Agents with health bars - DONE
- Separate lifecycle (core) from FP game - DONE
- Make game lifecycle simulatable server side - DONE
- Add Wave class - DONE
- Resource & agents on same canvas - DONE
- TBL stats - DONE
- Multiple citizen types - DONE
- Quests model - DONE
- Look at dynamically loading code for options - http://stackoverflow.com/questions/912711/jquery-to-load-javascript-file-dynamically - DONE
- Plain language statement - DONE
- Integrate AgentType and culture classes - DONE
- Life expectancy - DONE
- Regeneration - DONE
- Happy Planet Index - calculate statistics: longevity (# of moves); contentment (social + economic + % of environment); ecological footprint - TODO
0.1.4 - 7/1/12
- Lots of waves - DONE
- ABM feature - agent gender - DONE
- ABM feature - agent cultural attributes - DONE
- ABM feature - agent health attributes - DONE
- ABM feature - agent reproduction attributes - DONE
- ABM feature - map TBL to HDI (economic -> wealth; environment -> health; social -> education?) - DONE
- ABM feature - Belief/Desire/Intention model - DONE
- ABM features: templates - DONE
- ABM features: 3 simple models - DONE
- Script support - DONE
- Add Basic JavaScript eval console - DONE
- ABM features: demography - DONE
- ABM features: generation - DONE
- ABM features: goal orientation - DONE
- ABM features: age parameter - DONE
0.1.5 - 31/1/12
- Upgrade JQuery - DONE
- Add underscore library - DONE
0.1.6 - 29/2/12
- Fix multiple setups (pre and post setup screen) - DONE
- Multiple agent drawing routines (squares, circles, stickmen) - DONE
- Remove Google Maps requirement - DONE
- Persistent parameter screen - DONE
- Information screen - DONE
- Integrate editor into parameter screen (like NetLogo) - DONE
- Fix FP health - DONE
- Paper.js effects more modular - DONE
- Jasmine lib updated and tests working - DONE
- Basic NetLogo social science models integrated - altruism - DONE
- Abstract common cell/agent patterns (radial reach, toroids) - DONE
- Fix resource consumption - DONE
- Fix movement bug - DONE
- Dying agents - DONE
- Basic NetLogo social science models integrated - cooperation - DONE
- Add slider - DONE
- Basic NetLogo social science models integrated - segregation - DONE
- Move to available spot - DONE
- Random sort for agents, cells - DONE
- Stop simulation feature - DONE
- Fix draw expired - DONE
- Custom graphs - DONE
- Born agents - DONE
- Fix agent and cell colours - DONE
0.1.7 - 6/3/12
- Fix tutorial - DONE
- Reposition graph dialog - DONE
- Pause / step in graph dialog - DONE
- Loading screen - DONE
- Optimise loading times - DONE
- Complete first draft of WV module - DONE
- Agents not assigned to cells - DONE
0.1.8 - 31/7/12
- Revamped tutorial
- Improved performance
- Balloon inclusion
- Revised editor
- Multiplayer
0.1.8 - 31/3/12
- Add slider customisation - DONE
- Separate paths for 2d/3d resource/agent drawing - DONE
- Optional buttons in setup dialog - step, step N times, setup, load code, load parameters - DONE
- Basic 'Cities and Complexity' models integrated - DONE
0.1.9 - 31/7/12
- Fix profile handling
- Add slider customisation - DONE
- Separate paths for 2d/3d resource/agent drawing - DONE
- Optional buttons in setup dialog - step, step N times, setup, load code, load parameters - DONE
- Basic 'Cities and Complexity' models integrated - DONE
- Editor working
- Load modules from web
- Swap modules without reload
- Link catastrophes to Paper.js
- More effects - sand, wind, hail, rain, heat, dust
- Abstract directionality of effects
- Randomise access to agents
- Tests for graphical options
- Tests for ABM template models
- Basic NetLogo social science models integrated - ethnocentrism
- Basic NetLogo social science models integrated - rumor mill
- Basic NetLogo social science models integrated - rebellion
- Basic NetLogo social science models integrated - voting
- Persistence of current module/campaign/world
- Refactor agent generation strategies (randomised, random empty space, waves)
- Simplify single campaign/world/wave construction
- Inheritence/delegation model for properties: Universe - Module - World - Wave
- Internalise loops (NetLogo style)
Undetermined
- Fix profile handling
- Editor working
- Load modules from web
- Swap modules without reload
- Link catastrophes to Paper.js
- More effects - sand, wind, hail, rain, heat, dust
- Abstract directionality of effects
- Randomise access to agents
- Tests for graphical options
- Tests for ABM template models
- Basic NetLogo social science models integrated - ethnocentrism
- Basic NetLogo social science models integrated - rumor mill
- Basic NetLogo social science models integrated - rebellion
- Basic NetLogo social science models integrated - voting
- Persistence of current module/campaign/world
- Refactor agent generation strategies (randomised, random empty space, waves)
- Simplify single campaign/world/wave construction
- Inheritence/delegation model for properties: Universe - Module - World - Wave
- Internalise loops (NetLogo style)
- Cultural health
- Life satisfaction
- Subjective attitudes
- Smiles?
- Document code layout
- Document assumptions
- Different agent visuals
- Per-level/experience speeds
- Achievements
- Different resource mix
- Personality traits
- Try full screen
- Fix jqconsole for agent simulation setup
- Check login
- Login-less capabilities
- Fix login screens
- Review new level parameters
- Review difficulty
- Minecraft-style resources
- Option to automatically add resource types
- Update end of level screen
- Mobile version
- Improve notice handling
- New multiplayer on single screen
- Improved tutorial integration ('Now do this...')
- Upgrade options
- Add custom path tiles to editor (color picker + alpha - jPicker)
- Fix dumb behaviour when moving over resources is not an option
- Different agent running styles
- Stabilise chat on Heroku (handle reconnect errors?)
- Duel invitations
- Simple multiplayer mode
- Duel mode in jqconsole
- Make JSON level re-storable
- World-building, sharing
- Achievements
- Global settings on Node, via jqconsole
- Remodel catastrophe as stochastic event
- JSHint integration
- Integrate Natural
- Terms and conditions
- Explicit assumptions
- Initial Selenium tests
- Reduce code size
- Catastrophe effects
- Resource/agent effects
- Sound effects
- Rivals, predators in editor
- ABM features
- Handle bug with shortcuts and dialogs (JQuery UI 1.9)
- Web workers
- CSS transitions
- ABM feature - agent psychometric attributes (IPIP)
- Introduce probability distribution functions to agents, resources
- ABM feature - alternative theories of mind (theory-theory, simulation theory)
- ABM feature - memories - co-operation
- ABM feature - memories - competition
- ABM feature - memories - norms
- ABM feature - memories - trust
- ABM feature - memories - memory retention characteristics
- ABM feature - Game theory
- ABM feature - Epistemic logic
- Library loading
- Personality scales - http://ipip.ori.org/
-
- Ruby agent modelling logic integrated
- Fight rather than save
- Communication: leave messages
- Goal orientation
- ABM features: communication
- Alternate ABM models
-
- Game theory
- Game theory features: probabilities
- Game theory features: theory of mind
- Game theory features: beliefs, preferences, constraints
- Game theory features: linear algebra library
-
- GENERAL RESEARCH
- Explore Node.js
- Javascript Workers
- Web sockets
- Chat
- RPG model
- Web workers
- WebGL
-
- ADMIN
- Document calculations, assumptions, etc independently


@api public @overload after(&block) @overload after(scope, &block) @overload after(scope, conditions, &block) @overload after(conditions, &block)
@param [Symbol] scope `:each`, `:all`, or `:suite` (defaults to `:each`) @param [Hash] conditions
constrains this hook to examples matching these conditions e.g. %xafter(:each, :ui => true) { ... }` will only run with examples or groups declared with %x:ui => true`.
@see before @see around @see ExampleGroup @see SharedContext @see SharedExampleGroup @see Configuration
Declare a block of code to be run after each example (using `:each`) or once after all examples (using `:all`). See [before](#before) for more information about ordering.
### Exceptions
`after` hooks are guaranteed to run even when there are exceptions in `before` hooks or examples. When an exception is raised in an after block, the exception is captured for later reporting, and subsequent `after` blocks are run.
### Order
`after` hooks are stored in three scopes, which are run in order: `:each`, `:all`, and `:suite`. They can also be declared in several different places: `RSpec.configure`, a parent group, the current group. They are run in the following order:
after(:each) # declared in the current group after(:each) # declared in a parent group after(:each) # declared in RSpec.configure after(:all) # declared in the current group after(:all) # declared in a parent group after(:all) # declared in RSpec.configure
This is the reverse of the order in which `before` hooks are run. Similarly, if more than one `after` is declared within any one scope, they are run in reverse order of that in which they are declared.
# File lib/rspec/core/hooks.rb, line 379 def after(*args, &block) register_hook :prepend, :after, *args, &block end
Adds `block` to the back of the list of `after` blocks in the same scope (`:each`, `:all`, or `:suite`).
See after for scoping semantics.
# File lib/rspec/core/hooks.rb, line 389 def append_after(*args, &block) register_hook :append, :after, *args, &block end
@api public @overload around(&block) @overload around(scope, &block) @overload around(scope, conditions, &block) @overload around(conditions, &block)
@param [Symbol] scope `:each` (defaults to `:each`)
present for syntax parity with `before` and `after`, but `:each` is the only supported value.
@param [Hash] conditions
constrains this hook to examples matching these conditions e.g. %xaround(:each, :ui => true) { ... }` will only run with examples or groups declared with %x:ui => true`.
@yield [Example] the example to run
@note the syntax of `around` is similar to that of `before` and `after`
but the semantics are quite different. `before` and `after` hooks are run in the context of of the examples with which they are associated, whereas `around` hooks are actually responsible for running the examples. Consequently, `around` hooks do not have direct access to resources that are made available within the examples and their associated `before` and `after` hooks.
@note `:each` is the only supported scope.
Declare a block of code, parts of which will be run before and parts after the example. It is your responsibility to run the example:
around(:each) do |ex| # do some stuff before ex.run # do some stuff after end
The yielded example aliases `run` with `call`, which lets you treat it like a `Proc`. This is especially handy when working with libaries that manage their own setup and teardown using a block or proc syntax, e.g.
around(:each) {|ex| Database.transaction(&ex)} around(:each) {|ex| FakeFS(&ex)}
# File lib/rspec/core/hooks.rb, line 437 def around(*args, &block) register_hook :prepend, :around, *args, &block end
@private
# File lib/rspec/core/hooks.rb, line 450 def around_each_hooks_for(example, initial_procsy=nil) AroundHookCollection.new(parent_groups.map {|a| a.hooks[:around][:each]}.flatten).for(example, initial_procsy) end
@api public @overload before(&block) @overload before(scope, &block) @overload before(scope, conditions, &block) @overload before(conditions, &block)
@param [Symbol] scope `:each`, `:all`, or `:suite` (defaults to `:each`) @param [Hash] conditions
constrains this hook to examples matching these conditions e.g. %xbefore(:each, :ui => true) { ... }` will only run with examples or groups declared with %x:ui => true`.
@see after @see around @see ExampleGroup @see SharedContext @see SharedExampleGroup @see Configuration
Declare a block of code to be run before each example (using `:each`) or once before any example (using `:all`). These are usually declared directly in the {ExampleGroup} to which they apply, but they can also be shared across multiple groups.
You can also use `before(:suite)` to run a block of code before any example groups are run. This should be declared in {RSpec.configure}
Instance variables declared in `before(:each)` or `before(:all)` are accessible within each example.
### Order
`before` hooks are stored in three scopes, which are run in order: `:suite`, `:all`, and `:each`. They can also be declared in several different places: `RSpec.configure`, a parent group, the current group. They are run in the following order:
before(:suite) # declared in RSpec.configure before(:all) # declared in RSpec.configure before(:all) # declared in a parent group before(:all) # declared in the current group before(:each) # declared in RSpec.configure before(:each) # declared in a parent group before(:each) # declared in the current group
If more than one `before` is declared within any one scope, they are run in the order in which they are declared.
### Conditions
When you add a conditions hash to `before(:each)` or `before(:all)`, RSpec will only apply that hook to groups or examples that match the conditions. e.g.
RSpec.configure do |config| config.before(:each, :authorized => true) do log_in_as :authorized_user end end describe Something, :authorized => true do # the before hook will run in before each example in this group end describe SomethingElse do it "does something", :authorized => true do # the before hook will run before this example end it "does something else" do # the hook will not run before this example end end
### Warning: `before(:suite, :with => :conditions)`
The conditions hash is used to match against specific examples. Since `before(:suite)` is not run in relation to any specific example or group, conditions passed along with `:suite` are effectively ignored.
### Exceptions
When an exception is raised in a `before` block, RSpec skips any subsequent `before` blocks and the example, but runs all of the `after(:each)` and `after(:all)` hooks.
### Warning: implicit before blocks
`before` hooks can also be declared in shared contexts which get included implicitly either by you or by extension libraries. Since RSpec runs these in the order in which they are declared within each scope, load order matters, and can lead to confusing results when one before block depends on state that is prepared in another before block that gets run later.
### Warning: `before(:all)`
It is very tempting to use `before(:all)` to speed things up, but we recommend that you avoid this as there are a number of gotchas, as well as things that simply don’t work.
#### context
`before(:all)` is run in an example that is generated to provide group context for the block.
#### instance variables
Instance variables declared in `before(:all)` are shared across all the examples in the group. This means that each example can change the state of a shared object, resulting in an ordering dependency that can make it difficult to reason about failures.
#### unsupported rspec constructs
RSpec has several constructs that reset state between each example automatically. These are not intended for use from within `before(:all)`:
* `let` declarations * `subject` declarations * Any mocking, stubbing or test double declaration
### other frameworks
Mock object frameworks and database transaction managers (like ActiveRecord) are typically designed around the idea of setting up before an example, running that one example, and then tearing down. This means that mocks and stubs can (sometimes) be declared in `before(:all)`, but get torn down before the first real example is ever run.
You can create database-backed model objects in a `before(:all)` in rspec-rails, but it will not be wrapped in a transaction for you, so you are on your own to clean up in an `after(:all)` block.
@example before(:each) declared in an {ExampleGroup}
describe Thing do before(:each) do @thing = Thing.new end it "does something" do # here you can access @thing end end
@example before(:all) declared in an {ExampleGroup}
describe Parser do before(:all) do File.open(file_to_parse, 'w') do |f| f.write <<-CONTENT stuff in the file CONTENT end end it "parses the file" do Parser.parse(file_to_parse) end after(:all) do File.delete(file_to_parse) end end
# File lib/rspec/core/hooks.rb, line 317 def before(*args, &block) register_hook :append, :before, *args, &block end
@private
# File lib/rspec/core/hooks.rb, line 143 def hooks @hooks ||= { :around => { :each => AroundHookCollection.new }, :before => { :each => HookCollection.new, :all => HookCollection.new, :suite => HookCollection.new }, :after => { :each => HookCollection.new, :all => HookCollection.new, :suite => HookCollection.new } }.extend(RegistersGlobals) end
Adds `block` to the front of the list of `before` blocks in the same scope (`:each`, `:all`, or `:suite`).
See before for scoping semantics.
# File lib/rspec/core/hooks.rb, line 327 def prepend_before(*args, &block) register_hook :prepend, :before, *args, &block end
@private
Runs all of the blocks stored with the hook in the context of the example. If no example is provided, just calls the hook directly.
# File lib/rspec/core/hooks.rb, line 445 def run_hook(hook, scope, example_or_group=ExampleGroup.new, initial_procsy=nil) find_hook(hook, scope, example_or_group, initial_procsy).run end


A highly analytical, creative and passionate engineer/analyst who enjoys analyzing data and building solutions. I like brainstorming sessions and coming up with solutions with legacy and upcoming Technologies in a in a challenging data oriented environment to better analyze, design, implement, and develop data model/solutions that make a difference and contribute to the company’s growth.
Here's a few skills of mine:
Software Engineering
Data Architecture & Engineering
Data Analytics & Visualization
Web development
Cloud Computing - AWS / Azure
MicroServices
Java / ASP .Net Core
HTML & CSS
Python Programming
Database / Big Data Technologies
Designed the Architecture for an Enterprize web application for End to End Logistics / Tracking App using AWS
Analyze the company’s business strategy and determine Systems Architecture to achieve business goals
Design, Developed the Database Schema for Company's External Data
Managed end-to-end complex data migration, conversion and data modeling
Worked on the complete ETL process and analyze various Data sets by leveraging BI tools
Worked on UI/UX web forms to build interactive interfaces for internal end users
Data analysis/visualization to achieve optimized business strategies, and QBR
Introduced and Onboarded Agile Project Management platforms for Project Management Team
Developed and maintained APIs for the BMW Connected applications
Worked on Microsoft Service Fabric, Microservices, and GDPR Module
Developed Web Apps using ASP .Net Core
Backend service development, data analytics and integrating ML
Worked on Azure ML for location service recommender for the vehicle user location data in EU, US and ROW
Worked on Azure ML for location service recommender for the vehicle
Wrote Single Page Applications using RESTFUL Web Services plus Angular JS
Implemented the client-side validations using jQuery and JavaScript
Used JIRA for task distribution and productivity
Assisted in performance evaluation of high-performance computing systems and Network Analysis
Developed, Deployed and maintained webpages for registration for new students.
Interacted with Local/International students through phone and email addressing their questions and concerns
Photographer for the 2019 Commencement and Organized other college events
Designed Web apps using Java for client-server environments
Used JavaScript to develop an interactive user interface that exceeded client expectations and met KPIs
Development with cross-browser/cross-device compatibility in a graded browser support environment.
Python development using Django, applying analytics and building strategies for further enhancing the product
GPA: 3.40
GPA: 3.60
Apart from being a Software Engineer, I enjoy most of my time being outdoors. I like to take my camera and go out for street PHOTOGRAPHY One of my photos have been published in the midwest living: 2020 Magazine.
During the warmer months here in Chicago, I enjoy Trail Biking and Exploring Cafe'sWhen forced indoors during winters, I read a lot of books, watch movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in Software and Machine Learning world.
Check out my blog BLOG


Q1.
Jim is older than Eric.
Cliff is older than Jim.
Eric is older than Cliff.
If the first two statements are true, the third statement is?
- True
- False
- Uncertain
- Invalid
|
Q2. Radical is related to Moderate in the same way as Revolution is related to ...
- Change
- Chaos
- Peace
- Reformation
|
Q3.Find the odd one out
- Crime : Punishment
- Judgement : Advocacy
- Enterprise : Success
- Exercise : Health
|
Pointing towards a person, a man said to a woman, “His mother is the only daughter of your father.” How is the woman related to that person?
- Aunt
- Daughter
- Mother
- Wife
|
Q5. Choose the word which is different from the rest.
- Curd
- Butter
- Oil
- Cheese
- Cream
|
Q6. Drummer is related to Orchestra in the same way as Minister is related to ...
- Voter
- Constituency
- Department
- Cabinet
|
Q7. B2CD, _____, BCD4, B5CD, BC6D
- B2C2D
- BC3D
- B2C3D
- BCD7
|
Q8.
Statements: No women teacher can play. Some women teachers are athletes.
Conclusions:
Male athletes can play.
Some athletes can play.
- Only conclusion I follows
- Only conclusion II follows
- Neither I nor II follows
- Both I and II follow
|
Q9. Jack is looking at Anne, but Anne is looking at George. Jack is married, but George is not. Is a married person looking at an unmarried person?
- Yes
- No
- Uncertain
- Invalid
|
Q10. Choose the word which is different from the rest.
- Cap
- Turban
- Helmet
- Veil
- Hat
|
Q11.
Statement: Severe drought is reported to have set in several parts of the country.
Courses of Action:
1. Government should immediately make arrangement for providing financial assistance to those affected.
2. Food, water and fodder should immediately be sent to all these areas to save the people and cattle.
- Only 1 follows
- Only 2 follows
- Neither 1 nor 2 follows
- Both 1 and 2 follow
|
Q12. Marathon is to race as hibernation is to ?
- winter
- bear
- dream
- sleep
|
Q13. Vincent has a paper route. Each morning, he delivers 37 newspapers to customers in his neighborhood. It takes Vincent 50 minutes to deliver all the papers. If Vincent is sick or has other plans, his friend Thomas, who lives on the same street, will sometimes deliver the papers for him.
- Vincent and Thomas live in the same neighbourhood.
- It takes Thomas more than 50 minutes to deliver the papers.
- It is dark outside when Vincent begins his deliveries.
- Thomas would like to have his own paper route.
|
Q14. INNUMERABLE : QUANTITY::
- superficial : surface
- impotent : strength
- invaluable : worth
- finite : size
|
Q15.Find the odd one out
- Arc
- Diagonal
- Radius
- Diameter
|


mlens.index.blend module¶
ML-ENSEMBLE
| author: | Sebastian Flennerhag |
|---|---|
| copyright: | 2017 |
| licence: | MIT |
Blend indexing.
-
class
mlens.index.blend.
BlendIndex
(test_size=0.5, train_size=None, X=None, raise_on_exception=True)[source]¶ Bases:
mlens.index.base.BaseIndex
Indexer that generates two non-overlapping subsets of
X
.Iterator that generates one training fold and one test fold that are non-overlapping and that may or may not partition all of X depending on the user’s specification.
BlendIndex creates a singleton generator (has on iteration) that yields two tuples of
(start, stop)
integers that can be used for numpy array slicing (i.e.X[stop:start]
). If a full array index is desired this can easily be achieved with:for train_tup, test_tup in self.generate(): train_slice = numpy.hstack([numpy.arange(t0, t1) for t0, t1 in train_tup]) test_slice = numpy.hstack([numpy.arange(t0, t1) for t0, t1 in test_tup])
Parameters: - test_size (int or float (default = 0.5)) – Size of the test set. If
float
, assumed to be proportion of full data set. - train_size (int or float, optional) – Size of test set. If not specified (i.e.
train_size = None
, train_size is equal ton_samples - test_size
. Iffloat
, assumed to be a proportion of full data set. Iftrain_size
+test_size
amount to less than the observations in the full data set, a subset of specified size will be used. - X (array-like of shape [n_samples,] , optional) – the training set to partition. The training label array is also,
accepted, as only the first dimension is used. If
X
is not passed at instantiation, thefit
method must be called beforegenerate
, orX
must be passed as an argument ofgenerate
. - raise_on_exception (bool (default = True)) – whether to warn on suspicious slices or raise an error.
See also
FoldIndex
,SubsetIndex
Examples
Selecting an absolute test size, with train size as the remainder
>>> import numpy as np >>> from mlens.index import BlendIndex >>> X = np.arange(8) >>> idx = BlendIndex(3, rebase=True) >>> print('Test size: 3') >>> for tri, tei in idx.generate(X): ... print('TEST (idx | array): (%i, %i) | %r ' % (tei[0], tei[1], ... X[tei[0]:tei[1]])) ... print('TRAIN (idx | array): (%i, %i) | %r ' % (tri[0], tri[1], ... X[tri[0]:tri[1]])) Test size: 3 TEST (idx | array): (5, 8) | array([5, 6, 7]) TRAIN (idx | array): (0, 5) | array([0, 1, 2, 3, 4])
Selecting a test and train size less than the total
>>> import numpy as np >>> from mlens.index import BlendIndex >>> X = np.arange(8) >>> idx = BlendIndex(3, 4, X) >>> print('Test size: 3') >>> print('Train size: 4') >>> for tri, tei in idx.generate(X): ... print('TEST (idx | array): (%i, %i) | %r ' % (tei[0], tei[1], ... X[tei[0]:tei[1]])) ... print('TRAIN (idx | array): (%i, %i) | %r ' % (tri[0], tri[1], ... X[tri[0]:tri[1]])) Test size: 3 Train size: 4 TEST (idx | array): (4, 7) | array([4, 5, 6]) TRAIN (idx | array): (0, 4) | array([0, 1, 2, 3])
Selecting a percentage of observations as test and train set
>>> import numpy as np >>> from mlens.index import BlendIndex >>> X = np.arange(8) >>> idx = BlendIndex(0.25, 0.45, X) >>> print('Test size: 25% * 8 = 2') >>> print('Train size: 45% * 8 < 4 -> 3') >>> for tri, tei in idx.generate(X): ... print('TEST (idx | array): (%i, %i) | %r ' % (tei[0], tei[1], ... X[tei[0]:tei[1]])) ... print('TRAIN (idx | array): (%i, %i) | %r ' % (tri[0], tri[1], ... X[tri[0]:tri[1]])) Test size: 25% * 8 = 2 Train size: 50% * 8 < 4 -> TEST (idx | array): (3, 5) | array([[3, 4]]) TRAIN (idx | array): (0, 3) | array([[0, 1, 2]])
Rebasing the test set to be 0-indexed
>>> import numpy as np >>> from mlens.index import BlendIndex >>> X = np.arange(8) >>> idx = BlendIndex(3, rebase=True) >>> print('Test size: 3') >>> for tri, tei in idx.generate(X): ... print('TEST tuple: (%i, %i) | array: %r' % (tei[0], tei[1], ... np.arange(tei[0], ... tei[1]))) Test size: 3 TEST tuple: (0, 3) | array: array([0, 1, 2])
- test_size (int or float (default = 0.5)) – Size of the test set. If


YaST CI
A tour through CI for YaST team
October, 2015
Reminder
- Instance: Jenkins server
- Job: task to be executed by Jenkins
- Worker/slave: machines where the jobs are executed
- Labels are used to associated jobs and workers
Internal and external
- Publicly available instance at ci.opensuse.org
- Internal instance at ci.suse.de
- Deprecates river.suse.de
- It will become in the 'default' internal instance
- Maintained with up-to-date Jenkins (including plugins)
- Conservative
ci.suse.de policy
- One account per team
- Workers and jobs should be prefixed (yast-, installtools-, libyui-)
- Non-prefixed jobs will be shown in zz-prefix-missing tab
- Custom per-team views are available
- Our jobs should run in our own workers (using labels)
4 types
- YaST (yast-head): basically YaST modules
- Libyui (libyui): are now handled in the same way as YaST ones
- Linuxrc/InstallTools (linuxrc): Linuxrc and related projects
- AutoYaST (autoyast): AutoYaST integration tests
YaST/Libyui jobs
- Packages yast-rake
and libyui-rake contains
tasks to handle (among other things) running tests and submitting packages
to build system
- Check Git repository (every 10 minutes)
- Run
rake osc:sr
:
- The package is built
- A new submission request is created
Linuxrc jobs
- Package linuxrc-devtools
contains needed scripts.
- Separated Jenkins jobs for building the packages and submitting them
- Both jobs should run in the same machine
- Check Git repository (every 10 minutes)
build_it
script: make archive
and submit the new version to the development project
submit_it
script: wait until the package is
built and create the submit request
AutoYaST jobs
- Run autoyast-integration-test test suite.
- A dedicated worker, with nested virtualization support, is needed
- It's started after yast-autoinstallation-master job runs successfully
YaST/Libyui workers
vm-yast-ci-worker
at Prague cluster
vm-yast-ci-worker{2,3}
at auto.suse.cz
- RAM: 4GB per machine
- Only 1 simultaneous running job per worker
Linuxrc/InstallTools workers
vm-linuxrc-ci-worker{2,3}
at auto.suse.cz
- RAM: 1GB per machine
- Up 2 simultaneous running jobs per worker
AutoYaST workers
jailbreak.suse.cz
- Only 1 simultaneous running job per worker
- RAM: 8GB per machine


|
real_time_tools
|
Simple config class that encapsulate the port parameters for a USB port. More...
#include <usb_stream.hpp>
Public Types | |
| enum | StopBits { one = 1, two = 2 } |
| This is if one wants 1 or 2 stop bits. | |
| enum | DataBits { cs7 = 0, cs8 = 1 } |
| This correspond to the number of data bits echanged. | |
Public Member Functions | |
| int | get_bauderate () |
| Get the _bauderate object. More... | |
Public Attributes | |
| bool | rts_cts_enabled_ |
| Enabling/Disabling rts cts. More... | |
| bool | parity_ |
| Use or not a parity bit. | |
| StopBits | stop_bits_ |
| Defines the choice of the stop bits. More... | |
| bool | prepare_size_definition_ |
| Defines if the port should prepare the size definition. | |
| DataBits | data_bits_ |
| Defines the number of bits echanged. More... | |
| int | baude_rate_ |
| Defines the BaudeRate to be used. More... | |
Simple config class that encapsulate the port parameters for a USB port.
This should cover enough paramter to setup the USB port for the imu_3DM_GX3_25, imu_3DM_GX3_45 and the imu_3DM_GX5 in xenomai, rt_preempt and ubuntu (potentially MacOS: non posix).
| int real_time_tools::PortConfig::get_bauderate | ( | ) |
Get the _bauderate object.
| int real_time_tools::PortConfig::baude_rate_ |
Defines the BaudeRate to be used.
(see enum BaudeRate)
| DataBits real_time_tools::PortConfig::data_bits_ |
Defines the number of bits echanged.
(see enum DataBits)
| bool real_time_tools::PortConfig::rts_cts_enabled_ |
Enabling/Disabling rts cts.
TODO: look for what is rts cts
| StopBits real_time_tools::PortConfig::stop_bits_ |
Defines the choice of the stop bits.
(see enum StopBits)


Project github page: github.com/georgealexakis/multispectral-camera-controller
Experimental application for multispectral cameras and ROS. It connects with ROS client API for camera reconfiguration. You need to install rosbridge suite to enable the connection between ROS and the controller. This controller only has been tested with ROS melodic.
The project structure is made for using it with Apache cordova and build a hybrid application. This project enables the reconfiguration of camera parameters such as exposure, frame rate etc. Especially this project is used for multispectral camera with 9 bands.
Camera parameters can be change with this application such as frame rate, exposure, etc. It converts parameter list into string and send it to the node and waits the same structure as feedback. Also, it enables the contoll of multiple software functions.
Input image topic that it should be compressed.
/camera_controller/feedback: Feedback of camera parameters for synchronization..
/camera_settings: Codes to enable multiple functions.
/camera_controller: String to send camera parameters. Example: "10-55-30-False-True-True".


BM files store textures used in a variety of ways in DF.
They serve as wall textures, as floor and ceiling textures (in which case they must be 64*64), as 3DO facet textures, as weapons, and as the Heads Up Display.
Here is the data structure for the BM file header.
BM_Header IS
{
| MAGIC | char[4] | // = 'BM ' + 0x1E |
| SizeX | int | // if = 1 then multiple BM in the file |
| SizeY | int | // EXCEPT if SizeY also = 1, in which case // it is a 1x1 BM |
| idemX | int | // unused by engine |
| idemY | int | // unused by engine |
| Transparent | byte | // 0x36 for normal // 0x3E for transparent // 0x08 for weapons |
| logSizeY | byte | // logSizeY = log2(SizeY) // logSizeY = 0 for weapons |
| Compressed | int | // 0 = not compressed
// 1 = compressed (RLE) // 2 = compressed (RLE0) |
| DataSize | long | // Data size for compressed BM
// excluding header and columns starts table // If not compressed, DataSize is unused |
| pad1 | byte[12] | // 12 times 0x00 |
}
Please note that BM must have height and width which are powers of 2 (except weapons).
The data follows, encoded by COLUMNS from the bottom to the top.
See also:


by $author$ on $date$
Tagged as: $prettytags$.
This post was originally published on the technical blog of my former employer. I have duplicated here for further reference. You can also browse the original post.


Thank you for your interest in this experiment. This is a pre-release milestone version of this experiment and is intended for internal testing/development. Replace this paragraph element with an ICD upon release. Please press 'Continue' below :).


Or: The Modern Prometheus
Victor Frankenstein, a Swiss scientist, has a great ambition: to create intelligent life. But when his creature first stirs, he realizes he has made a monster. A monster which, abandoned by his master and shunned by everyone who sees it, follows Dr Frankenstein to the very ends of the earth.


|
Math library
|
Inherits Core::App.
Public Member Functions | |
| ImGuiExampleApp () | |
| constructor | |
| ~ImGuiExampleApp () | |
| destructor | |
| bool | Open () |
| open app | |
| void | Run () |
| run app | |
| Public Member Functions inherited from Core::App | |
| App () | |
| constructor | |
| ~App () | |
| destructor | |
| virtual void | Close () |
| stop application | |
| virtual void | Exit () |
| kill application | |


--- active_crumb: Integrations layout: documentation id: integrations ---
NLPCraft provides several integration points for a underlying SQL storage, GridGain Control Center and NLP functionality.
NLP FunctionalityNLPCraft comes with integrations for several 3rd party NLP libraries and projects. External integrations can be used for two distinct purposes inside of NLPCraft:
As a base NLP engine the external project is responsible for all basic NLP pre-processing such as tokenization, lemmatization, stemmatization, PoS tagging, etc. Base NLP engine has significant performance requirement and therefore cannot be based on a APIs that requires a network trip.
As a token provider the external project will be used for detection of the named entities.
Note that the same external project can be used for both roles, and projects can be mixed and matched together through NLPCraft configuration. You can only have one base NLP engine but you can configure multiple token providers. The following table shows supported 3rd party integrations and their roles:
| Project | Base NLP Engine | Token Provider |
|---|---|---|
| NLPCraft | ||
| OpenNLP | ||
| Google Natural Language | ||
| Stanford CoreNLP | ||
| spaCy |
REST server configuration support zero or more token providers. Data models also have to specify the specific tokens they are expecting the REST server and probe to detect. This is done to limit the unnecessary processing since implicit enabling of all token providers and all tokens can lead to a significant slow down of processing:
tokenProvides
provides the list of enabled token providers.
NLPCraft is an open source library for adding natural language Interface to any applications.
N/A
NLPCraft provides its own set of built-in elements. NLPCraft token IDs start with nlpcraft
. Note
also that all NLPCraft built-in tokens are normalized named entities (NNE), i.e. they provide normalized
information and not just their IDs:
| Token ID | Description | Example |
|---|---|---|
nlpcraft:nlp |
This token denotes a word (always a single word) that is not a part of any other token. It's also call a free-word, i.e. a word that is not linked to any other detected model element. NOTE: the metadata from this token defines a common set of NLP properties and is present in every other token as well. |
|
nlpcraft:date |
This token denotes a date range. It recognizes dates from 1900 up to 2023. Note that it does not currently recognize time component. |
|
nlpcraft:num |
This token denotes a single numeric value or numeric condition. |
|
nlpcraft:continent |
This token denotes a geographical continent. |
|
nlpcraft:subcontinent |
This token denotes a geographical subcontinent. |
|
nlpcraft:region |
This token denotes a geographical region/state. |
|
nlpcraft:country |
This token denotes a country. |
|
nlpcraft:city |
This token denotes a city. |
|
nlpcraft:metro |
This token denotes a metro area. |
|
nlpcraft:sort |
This token denotes a sorting or ordering. |
|
nlpcraft:limit |
This token denotes a numerical limit. |
|
nlpcraft:coordinate |
This token denotes a latitude and longitude coordinates. |
|
nlpcraft:relation |
This token denotes a relation function:
compare or
correlate . Note this token always need another two tokens that it references.
|
|
NOTES:
nlpcraft
in REST server configuration
using nlpcraft.server.tokenProviders
property.
Apache OpenNLP is an open-source library for a machine learning based processing of natural language text.
Apache OpenNLP is used by NLPCraft as a default base NLP engine. You can also set
it explicitly on REST server and probe via configuration property: nlpcraft.nlpEngine=opennlp
OpenNLP can be used independently as a token provider (even if other library is used as a base NLP engine).
OpenNLP provides its own set of built-in tokens supported by NLPCraft.
OpenNLP token IDs have a form of opennlp:xxx
, where xxx
is a lower case
name of the named entity in OpenNLP.
Configuration notes:
OpenNLP integration is configured with the following pre-train English OpenNLP models version 1.5:
| Named Entity | OpenNLP Model | Token ID |
|---|---|---|
| Location | en-ner-location.bin | opennlp:location |
| Money | en-ner-money.bin | opennlp:money |
| Person | en-ner-person.bin | opennlp:person |
| Organization | en-ner-organization.bin | opennlp:organization |
| Date | en-ner-date.bin | opennlp:date |
| Time | en-ner-time.bin | opennlp:time |
| Percentage | en-ner-percentage.bin | opennlp:percentage |
opennlp
in REST server configuration
using nlpcraft.server.tokenProviders
property.
Google Natural Language uses machine learning to reveal the structure and meaning of text.
N/A
Google Natural Language provides its own set of built-in elements.
To use Google token provider the environment variable GOOGLE_APPLICATION_CREDENTIALS
should be configured to point to proper Google JSON credential file (see
Google documentation for more details).
Google Natural Language token IDs have a form of google:xxx
, where xxx
is a lower
case name of the Named Entity in Google APIs, i.e. google:person
, google:location
,
etc.
Configuration notes:
google
in REST server configuration
using nlpcraft.server.tokenProviders
property.
Stanford CoreNLP is a set of human language technology tools.
Note that due to the fact that Stanford CoreNLP is licensed under GNU General Public License v3 you need to add both Stanford CoreNLP dependencies and NLPCraft Stanford CoreNLP integration separately and make them available to your project.
Default pom.xml
shipped with NLPCraft release contains Stanford CoreNLP dependency in a separate
stanford-corenlp
profile. To use this, you need to enable this profile when building the project
from sources, i.e. mvn clean package -P stanford-corenlp
, or enable this profile in maven
configuration:
3.9.2
version to the latest or required one.
Note that you can also download Stanford CoreNLP as a separate JAR file and add it to your project classpath if you are not using, or instead of, build tools.
You can set Stanford CoreNLP as a base NLP engine:
nlpcraft.nlpEngine=stanford
Stanford CoreNLP can be used as a token provider independently from base NLP engine:
Stanford CoreNLP provides its own set of built-in elements.
Stanford CoreNLP token IDs have a form of stanford:xxx
, where xxx
is a lower
case name of the Named Entity in Stanford CoreNLP, i.e. stanford:person
, stanford:location
,
etc.
Configuration notes:
stanford
in REST server configuration
using nlpcraft.server.tokenProviders
property.
spaCy is a free open-source library for Natural Language Processing in Python.
N/A
spaCy provides its own set of built-in elements. NLPCraft integrates with spaCy via local Python-based
REST server /src/main/python/spacy_proxy.py
. It is a very simple Flask-based implementation
that you can freely modify to change the spaCy models or their external attributes that are made available.
This is entire source code for this local REST server:
import urllib.parse import spacy from flask import Flask, request from flask_restful import Resource, Api # # Add your own or modify spaCy libraries here. # By default, the English model 'en_core_web_sm' is loaded. # nlp = spacy.load("en_core_web_sm") app = Flask(__name__) api = Api(app) class Ner(Resource): @staticmethod def get(): doc = nlp(urllib.parse.unquote_plus(request.args.get('text'))) res = [] for e in doc.ents: meta = {} # Change the following two lines to implements your own logic for # filling up meta object with custom user attributes. 'meta' should be a dictionary (JSON) # with types 'string:string'. for key in e._.span_extensions: meta[key] = e._.__getattr__(key) res.append( { "text": e.text, "from": e.start_char, "to": e.end_char, "ner": e.label_, "vector": str(e.vector_norm), "sentiment": str(e.sentiment), "meta": meta } ) return res api.add_resource(Ner, '/spacy') # # Default endpoint is 'localhost:5002'. # # If the endpoint here is changed make sure to provide # the same endpoint via configuration property 'nlpcraft.server.spacy.proxy.url', # i.e. 'nlpcraft.server.spacy.proxy.url=myhost:1234' # if __name__ == '__main__': app.run( host="localhost", port='5002' )
You need to start this REST server before you can use spaCy integration in NLPCraft. Note that for production environment it is recommended to use WSGI-based server instead.
Comments:
nlpcraft.server.spacy.proxy.url
,
e.g. nlpcraft.server.spacy.proxy.url=myhost:1234
.
spaCy token IDs have a form of spacy:xxx
, where xxx
is a lower case name of the Named Entity
in spaCy APIs, i.e. spacy:person
, spacy:location
, etc.
Configuration notes:
spacy
in REST server configuration
using nlpcraft.server.tokenProviders
property.
You can install and use MySQL as a system database for the REST server instead of the built-in distributed SQL storage from Apache Ignite that is used by default. Add the following dependency to your project:
Comments:
8.0.15
version to the latest or required one.
nlpcraft.server.database.jdbc
with required JDBC driver class and JDBC URL.
sql/mysql
folder to create database and initialize DB schema.
You can install and use PostgreSQL as a system database for the REST server instead of the built-in distributed SQL storage from Apache Ignite that is used by default. Add the following dependency to your project:
Comments:
42.2.5
version to the latest or required one.
nlpcraft.server.database.jdbc
with required JDBC driver class and JDBC URL.
sql/postgres
folder to create database and initialize DB schema.
You can install and use Oracle RDBMS as a system database for the REST server instead of the built-in distributed SQL storage from Apache Ignite that is used by default. Add the following dependency to your project:
Comments:
<IP_ADDRESS>.0
version to the latest or required one.
nlpcraft.server.database.jdbc
with required JDBC driver class and JDBC URL.
sql/oracle
folder to create database and initialize DB schema.
NLPCraft server is running on top of Apache Ignite. GridGain Systems develops enterprise in-memory computing platform that is based on Apache Ignite. GridGain also develops the GridGain Control Center that support Apache Ignite and is available for free for Apache Ignite users. In order to use GridGain Control Center to manage and monitor NLPCraft server internals you need to have GridGain Web Agent installed and available on the classpath for NLPCraft server.
NLPCraft pom.xml
comes with necessary dependencies that are located in a separate
gridgain-agent
Maven profile. To enable GridGain Web Agent you need to manually enable this Maven profile
when building NLPCraft from source code.
GridGain Control Center
Note that GridGain Control Center is a commercial software with free access for Apache Ignite. Its integration is not included
into standard Apache NLPCraft release. You need to manually enable the special gridgain-agent
Maven profile or download and install GridGain Web Agent manually.


EXCLUSIVE: Ghana star Kwadwo Asamoah in contract extension talks with Italian giants Inter Milan
Italian giants Inter Milan have started contract extension talks with their Ghanaian midfielder Kwadwo Asmaoah, Ghanasoccernet.com can exclusively reveal.
The 30-year-old's agents have been invited by the Serie A side to begin negotiations over an extension to see the utility player stay at the Milan side for longer.
Insiders have told Ghana's leading soccer news website that they want the influential player to extend his contract now even though he has about one year more left on his current deal.
Asamoah has been a cornerstone for Antonio Conte at Inter Milan since he joined the club from their rivals Juventus last season.
His deal with Inter Milan lasts until June 2021 but the club have now made the move to extend the deal until June 2023.
The former Udinese player, who is currently slightly injured, will also get a pay rise after the deal is extended based on the terms proposed by his agents.


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---
layout: post
title: Undestanding ASP.NET's ViewState
date: 2007-06-29 14:25:00.000000000 +10:00
comments: true
categories:
- webforms
- development
- asp.net
---
I found very interesting
topic about ViewState.
This topic has been written in August 2006. Nevertheless it is very interesting and very comprehensive.
The guy's writing style is very attractive. Reading it, you like more and more the author's writing manner.
It's hard to stop reading it sometimes.
Highly recommended to everybody working with ASP.NET daily.
Follow here:
http://weblogs.asp.net/infinitiesloop/archive/2006/08/03/Truly-Understanding-Viewstate.aspx


Origin Story
I am Willow. I was born in Manhattan, New York in the summer of 1996.
I hated living in the city.
It was too loud,too busy, and too concrete (literally).
I wanted to be outside constantly, and I was especially drawn to plants and water.
My childhood bedroom contained many, many plants.
My parents thought it was too many, actually.
When I was six years old, we went on a trip to Coney Island.
Finally, I saw the water.
I begged my parents to spend the day at the beach.
They wouldn’t let me go into the water by myself.
So when they weren’t looking, I ran for it.
I was carried away by a


My Team
Dan
Manager
ID: 1
Email:
<EMAIL_ADDRESS>Office Number: 1
Jan
Engineer
ID: 2
Email:
<EMAIL_ADDRESS>Github:
janlevinson
Ian
Engineer
ID: 3
Email:
<EMAIL_ADDRESS>Github:
iangrimm
Van
Engineer
ID: 4
Email:
<EMAIL_ADDRESS>Github:
vanmorrison
Fran
Intern
ID: 5
Email:
<EMAIL_ADDRESS>School: Ithica College


Local provider route : Here the NGXLogger is provided in providers array of the component
Changing log level here should not change log level of other NGXLogger instances
Log level is : {{ logger.level }}


Window 8 metro style
Freewall is a cross-browser and responsive jQuery plugin to help you create many types of grid layouts.
Free Wall


triangle.py¶
Make some beautiful corner plots.
- Corner plot /ˈkôrnər plät/ (noun):
- An illustrative representation of different projections of samples in high dimensional spaces. It is awesome. I promise.
Built by Dan Foreman-Mackey and collaborators (see
triangle.__contributors__
for the most up to date list). Licensed under
the 2-clause BSD license (see LICENSE
).
Usage¶
The main entry point is the triangle.corner
function. You’ll just use it
like this:
import numpy as np
import triangle
ndim, nsamples = 5, 10000
samples = np.random.randn(ndim * nsamples).reshape([nsamples, ndim])
figure = triangle.corner(samples)
figure.savefig("triangle.png")
With some other tweaks (see demo.py) you can get something that looks awesome like:
By default, data points are shown as grayscale points with contours. Contours are shown at 0.5, 1, 1.5, and 2 sigma.
License¶
Copyright 2013, 2014 Dan Foreman-Mackey
triangle.py is free software made available under the BSD License. For details see the LICENSE file.


PACS Server
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