Library: Foundation
Package: Crypt
Header: Poco/PBKDF2Engine.h
Description
This class implementes the Password-Based Key Derivation Function 2, as specified in RFC 2898. The underlying DigestEngine (HMACEngine, etc.), which must accept the passphrase as constructor argument (std::string), must be given as template argument.
PBKDF2 (Password-Based Key Derivation Function 2) is a key derivation function that is part of RSA Laboratories' Public-Key Cryptography Standards (PKCS) series, specifically PKCS #5 v2.0, also published as Internet Engineering Task Force's RFC 2898. It replaces an earlier standard, PBKDF1, which could only produce derived keys up to 160 bits long.
PBKDF2 applies a pseudorandom function, such as a cryptographic hash, cipher, or HMAC to the input password or passphrase along with a salt value and repeats the process many times to produce a derived key, which can then be used as a cryptographic key in subsequent operations. The added computational work makes password cracking much more difficult, and is known as key stretching. When the standard was written in 2000, the recommended minimum number of iterations was 1000, but the parameter is intended to be increased over time as CPU speeds increase. Having a salt added to the password reduces the ability to use precomputed hashes (rainbow tables) for attacks, and means that multiple passwords have to be tested individually, not all at once. The standard recommends a salt length of at least 64 bits. [Wikipedia]
The PBKDF2 algorithm is implemented as a DigestEngine. The passphrase is specified by calling update().
Example (WPA2):
PBKDF2Engine<HMACEngine<SHA1Engine> > pbkdf2(ssid, 4096, 256); pbkdf2.update(passphrase); DigestEngine::Digest d = pbkdf2.digest();
Inheritance
Direct Base Classes: DigestEngine
All Base Classes: DigestEngine
Member Summary
Member Functions: digest, digestLength, f, reset, updateImpl
Inherited Functions: digest, digestFromHex, digestLength, digestToHex, reset, update, updateImpl
Enumerations
Anonymous
PRF_DIGEST_SIZE = PRF::DIGEST_SIZE
Constructors
PBKDF2Engine
PBKDF2Engine(
const std::string & salt,
unsigned c = 4096,
Poco::UInt32 dkLen = PRF_DIGEST_SIZE
);
Destructor
~PBKDF2Engine
~PBKDF2Engine();
Member Functions
digest
const DigestEngine::Digest & digest();
digestLength
std::size_t digestLength() const;
See also: Poco::DigestEngine::digestLength()
reset
void reset();
See also: Poco::DigestEngine::reset()
f
void f(
Poco::UInt32 i
);
updateImpl
void updateImpl(
const void * data,
std::size_t length
);
See also: Poco::DigestEngine::updateImpl()


Mushrooms - P. cubensis (Penis Envy)
I have been growing the Penis Envy strain of P. cubensis for some time now. I never liked throwing out the 'spent' cakes of mycelium after they had finished producing mushrooms, but there's not much you can do with them.
Last month I noticed that the local park put down a load of fresh hardwood mulch around the trees. I know that mulch isn't the preferred substrate for cubensis, but I didn't have anything to lose. Inspired by Paul Stamets' 'patches for the people' concept, I crumbled up some of my spent cakes into ziploc bags, loaded up my cargo shorts, and seeded the mulch beds one night. This was in May in Illinois.
There was a bit of a drought period during June, but a string of thunderstorms finally arrived towards the end of the month. On a hot, humid day after a day of rain, I took a nice stroll through the park. What I found absolutely amazed me. Not only had the cubensis grown, but they produced a crop where the smallest mushrooms were about as big as my largest indoor-grown mushrooms. I walked home with handfuls and pocketfuls of mushrooms that weighed up to 2g each after drying! The stems were typically about as big around as a U.S. quarter, and the caps (which are rather small in the Penis Envy strain) were an upwards of two inches in diameter.
Ten minutes worth of work on night, using cakes that I would have otherwise just thrown away, produced ounces. The bioassay was a complete success also, with several friends (all experienced trippers) agreeing that the potency was nearly indistinguishable from my previous indoor crops. The size and thickness of the mushrooms appeared to help prevent oxidative breakdown of the active chemicals, thus compensating for the non-preferred diet.
As a final aside:
I know that every grower has their own little secrets, but here's mine.... I have had the best luck using cheap bird seed from the local grocery store as a growth medium. The diversity in diet of having 6 different seeds rather than a diet purely of rice or rye seems to speed up the growth. Spiking in a tablespoon or so of well-leached coffee grounds (rinsed until they'll no longer color water during soaking) also aids fast colonization of jars.
Finally, I has had great success adding some 'yeast nutrient' from the local wine/beer making shop to the water when I soak my growth medium (seeds, rye, etc.) in the initial hydration phase.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Topology Guides
Guides for 3d Artists
home
about
encyclopedia
archive
Archive
June 2020
Modeling a Human Hand
14/06
May 2020
Modeling Bevel Width Transitions
14/05
July 2018
Moving and Manipulating Edge Poles
02/07
September 2017
Dealing with Mesh Artifacts in Subdivision Modeling
07/09
August 2017
Optimal Edge Loop Reduction Flows
01/08
July 2017
Creating Seamless Decal Meshes
17/07
March 2017
Creating Chamfered Cuts on Corners
09/03
January 2017
Creating a Chamfered Circle
15/01
November 2016
Modeling Grip Ridges
27/11
Cutting Circular Holes in Curved Surfaces
08/11
April 2016
How to retopologize 3D scans into low poly game assets
20/04
March 2016
Cutting Custom Shapes
04/03
November 2015
Modeling a Revolver Cylinder
19/11
September 2015
Creating Square Panel Lines
30/09
Redirecting Edge flows
24/09
August 2015
6 tips for Subdivision Modeling
23/08
Sub-D Corner Types
11/08
Modeling a Thumb Screw top
01/08
July 2015
Modeling a T-joint Pipe
30/07
Creating Curved Corner Edge Flows
19/07
Types of Edge Bevels
16/07
Another Short Tutorial
15/07
3 types of rounded cylinder caps
14/07
Types of Cylinder Caps
14/07
Adding holes to a flat surface
14/07


All Packages Class Hierarchy This Package Previous Next Index
Interface com.jclark.xml.parse.LocatedEvent
- public interface LocatedEvent
Interface for events which provide location information.
-
getLocation()
- Returns the location
of the first character of the markup of the event.
getLocation
public abstract ParseLocation getLocation()
- Returns the location
of the first character of the markup of the event.
The return value is valid only so long as the event
itself is valid.
All Packages Class Hierarchy This Package Previous Next Index


senpy package¶
Submodules¶
senpy.neyer module¶
-
class
senpy.neyer.
Neyer
(latent='normal', inverted=False, method='L-BFGS-B', num_restarts=3, t1_min=None, t1_max=None, t2_guess=None, precision=8, resolution=None, lower_bound=None, upper_bound=None, hist=False, log_file=None)¶ Bases:
object
The Neyer model. Given an assumed form for the latent distribution, either ‘normal’, ‘logistic’, or ‘log-logistic’, the maximum likelihood estimates of the distribution parameters are computed. Neyer also provides a sequential design algorithm.
- Parameters
latent (string, optional) – DESCRIPTION. The form of the latent distribution. Either ‘normal’, ‘logistic’, or ‘log-logistic’. The default is ‘normal’.
inverted (boolean, optional) – DESCRIPTION. If the probability of a ‘go’ increases as the stimulus level decreases, then the data is ‘inverted’. The default is False.
method (string, optional) – DESCRIPTION. Name of the optimization routine called when computing the maximum likelihood estimates. The default is ‘L-BFGS-B’.
num_restarts (int, optional) – DESCRIPTION. The number of random initializations to use when maximizing the likelihood function. Note, the available latent distributions only use two parameters. Consequently, the resulting likelihood function is typically convex. The default is 3.
t1_min (flaot, optional) – DESCRIPTION. When using the sequential design algorithm and starting with no (or minimal) data, an intial guess on the lower bound of the first parameter, theta_1, is required. For the normal and logistic distributions theta_1 is mu. For the log-logistic distribution theta_1 is alpoha. If None is provided and the sequential algorithm is called, the program will prompt the user for the value. The default is None.
t1_max (float, optional) – DESCRIPTION. The initial guess for the upper bound of theta_1. See t1_min for more details. The default is None.
t2_guess (float, optional) – DESCRIPTION. The initial guess for theta_2. Required when using the sequential design algorithm. See t1_min for more details. For the normal and logisit distributions, theta_2 is sigma. For the log-logistic distribution, theta_2 is beta. The default is None.
precision (int, optional) – DESCRIPTION. Number of decimal points to incude in the final output. The default is 8.
resolution (float, optional) – DESCRIPTION. The smallest change in stimulus level available. For example, a drop-weight apparatus may only have adjustments at quarter inch intervals. Thus, the algorithm should not suggest testing at 12.105 inches, etc. The default is None.
lower_bound (float, optional) – DESCRIPTION. The lowest stimulus level a user can phsically test. The default is None.
upper_bound (float, optional) – DESCRIPTION. The highest stimulus level a user can phsically test. The default is None.
hist (boolean, optional) – DESCRIPTION. If True the determinant of the information matrix is computed over a range of stimulus levels at each stage of the sequential design. Typically used for debugging only! The default is False.
log_file (str, optional) – DESCRIPTION. File path for a log file. The log consists of the steps taken during the sequential design algorithm. The default is None.
-
available_opt_methods
= ('L-BFGS-B', 'SLSQP', 'TNC')¶
-
fit
(X, Y)¶ Compute the maximum likelihood estimates of the distribution parameters.
- Parameters
X (2D array) – The tested stimulus levels. Must be of shape (n_pts, 1)
Y (array) – The observed response at each stimulus level. 1 for ‘go’ and 0 for ‘no-go’.
- Returns
- Return type
self
-
get_estimators
()¶ Provides access to the stored estimate of theta. For example, [mu, sigma] or [alpha, beta].
- Returns
Current parameter estimates. Shape is (2,)
- Return type
array
-
loop
(iterations=1000000)¶ This method suggests new test levels and accepts user input to calculate maximum likelihood estimates. That is, this method constitutes a loop. Loop will continue indefinitely until ‘end’ is received as user input during the either the test level or result input queries. Alternatively, if a set number of specimens is to be used then the number of loops can be specified with the ‘iterations’ keyword argument.
- Parameters
iterations (int, optional) – End the loop automatically after n iterations. The default is 1000000.
- Returns
- Return type
None.
-
next_pt
()¶ The sequential design algorithm. When this method is called, the next suggested stimulus level for testing is printed to the console.
- Returns
- Return type
self
-
plot_confidence_region
(limits, n, CI_levels=10, save_dst=None, show=True)¶ A high-level function to plot the confidence region of the parameters.
- Parameters
limits (list) – The plot limits provided as [lower xlim, upper xlim, lower ylim, upper ylim].
n (int or list of length 2) – The number locations to sample in the x (theta_1) and y (theta_2) directions.
CI_levels (int or list, optional) – If an integer, a filled contour plot will be produced with that many levels. If it is a list, the list values specify the confidence levels at which to draw contour lines. The default is 10.
save_dst (str, optional) – The file path (including file type) where the plot should be saved. The default is None
show (boolean, optional) – If True, simply calls matplotlib.plt.show(). May be required for some IDEs. The default is True.
- Returns
- Return type
None.
-
plot_probability
(include_data=True, xlabel=None, ylabel=None, alpha=1.0, save_dst=None, show=True, **kwargs)¶ A high-level method to call self.predict_probability and plot the result.
- Parameters
include_data (boolean, optional) – Whether or not to plot the data (stimuli and responses). The default is True.
xlabel (str, optional) – If provided, the text for the plot xlabel. The default is None.
ylabel (str, optional) – If provided, the text for the plot ylabel. The default is None.
alpha (float, optional) – opacity of the observed data points. Must be between 0 and 1. Only used if include_data is True. Useful to visualize many overlapping data points. The default is 1.0.
save_dst (str, optional) – The file path (including file type) where the plot should be saved. The default is None.
show (boolean, optional) – If True, simply calls matplotlib.plt.show(). May be required for some IDEs. The default is True.
**kwargs – All keyworkd arguments provided to predict_probability can also be provided here.
- Returns
- Return type
None.
-
post_test_outcome
(res, pt)¶ Append a stimulus level and result to the existing data.
- Parameters
res (int or boolean) – The observed result at the tested stimulus level. Either 0, 1 or False, True.
pt (float) – The stimulus level at which the test was performed.
- Returns
- Return type
None.
-
predict_probability
(pts=None, confidence=None, CI_level=[0.5, 0.8, 0.9, 0.95], num_samples=1000, max_iter=5)¶ Returns the probability of a ‘go’ at pts. p(y=0|pt)
- Parameters
pts (array, optional) – The stimulus levels at which to compute probability predictions. The default is None. If None, range = max(X) - min(X) and pts = np.linspace(min(X)-0.5*range, max(X)+0.5*range, 100)
confidence (str, optional) – The name of the method used to supply confidence intervals. Options are ‘delta’, ‘perturbation’ (same as delta), ‘likelihood-ratio’, ‘parametric-bootstrap’, and ‘nonparametric-bootstrap’. The default is None.
CI_level (list, optional) – The confidence levels. Ignored if confidence is None. The default is [.5, .8, .9, .95].
num_samples (int, optional) – The number of bootstrapped samples generated. Only used if confidence = ‘parametric-bootstrap’ or ‘nonparametric=bootstrap’. The default is 1000.
max_iter (int, optional) – The maximum number of attempts to map the likelihood ratio. Only used if confidence = ‘likelihood-ratio’. The default is 5.
- Returns
Consists of the stimulus points, the predicted probability, and arrays of the lower bounds and upper bounds of the confidence levels if confidence was requested. (pts (n_pts, 1), predicted probability (n_pts, 1)) or (pts (n_pts, 1), predicted probability (n_pts, 1), lower CI bounds, upper CI bounds) where the shape of lower and upper CI bounds is (n_pts, n_levels)
- Return type
tuple
-
print_estimators
(cost=False)¶ Prints the current parameter estimates to the console.
- Parameters
cost (boolean, optional) – If true, the value of the negative log-likelihood, or cost, at the current parameter estimates is also printed to the console. The default is False.
- Returns
- Return type
None.


--- layout: page title: "About" description: "This is what I do." header-img: "img/post-bg-04.jpg" ---
Random human being trying to make sense of programming using Javascript.


Gateway
BOT
08-Jul-18 06:12 AM
[dscrdeql] <jellysmash> i hate commutes
[dscrdeql] <jellysmash> now I ride a motorscooter about 10 mins to work
[dscrdeql] <jellysmash> so good after years of long-ish commutes
[dscrdeql] <AdventureCrypto> ideal to be close
[dscrdeql] <jellysmash> we got trains in europe last september and they were very fast, clean and efficient
[dscrdeql] <jellysmash> unlike trains in australia...dirty, late and likely to be accosted by some dichead
[dscrdeql] <MySoulisNotForSale> yo yo
[dscrdeql] <MySoulisNotForSale> whats new
[dscrdeql] <Catalyst> Morning all
[dscrdeql] <MySoulisNotForSale> morning
[dscrdeql] <AdventureCrypto> hi people
[dscrdeql] <Catalyst> Have a nice Sunday :)
[dscrdeql] <jellysmash> here's a for each of you
[dscrdeql] <jellysmash> just woken up people
[dscrdeql] <jellysmash> I'm sure you'll enjoy the double expresso I made for you
[dscrdeql] <MySoulisNotForSale> coffee sounds good
[dscrdeql] <jellysmash> full flavour
[dscrdeql] <jellysmash> and smells fantastic
[dscrdeql] <jellysmash> i wish I could have one now myself...but too late in the day for me
[dscrdeql] <jellysmash> i'
[dscrdeql] <jellysmash> i'll have one of these
[dscrdeql] <AdventureCrypto> camomile tea for you then
[dscrdeql] <AndronicusBass-Founder> a matcha?
(edited)
[dscrdeql] <Catalyst> Thanks for the cofevfe
[dscrdeql] <jellysmash> you wake up and i'm just getting dinner ready
[dscrdeql] <jellysmash> just sticking roast chicken pieces in oven
[dscrdeql] <jellysmash> with some potatoes
[dscrdeql] <jellysmash> will be ok
[dscrdeql] <jellysmash> nohting too special though
[dscrdeql] <AndronicusBass-Founder> i read somewhere that cofevfe was a code using the table of elements or something to convey a message
[dscrdeql] <Catalyst> It is still, I am telling jelly that I want more on my table along with my coffee
[dscrdeql] <jellysmash> really
[dscrdeql] <jellysmash> i haven't heard of it
[dscrdeql] <jellysmash> cofevfe?
[dscrdeql] <jellysmash> don't even know how to pronounce it
[dscrdeql] <Catalyst> So cofevfe
[dscrdeql] <Catalyst> Hehehe
[dscrdeql] <AdventureCrypto> interesting word
[dscrdeql] <cypherzero> good morning
[dscrdeql] <AndronicusBass-Founder> allo, allo
[dscrdeql] <cypherzero>
[dscrdeql] <jellysmash> Alpha aloha
[dscrdeql] <x2maano>
[dscrdeql] <x2maano> morning
[dscrdeql] <jellysmash> -avatar @x2maano
[dscrdeql] <jellysmash> Morning wood
[dscrdeql] <jellysmash> Must be the coffee
[dscrdeql] <jellysmash> Or in my case the herbal tea
[dscrdeql] <x2maano> dieting??????????? hahhahaha
[dscrdeql] <AdventureCrypto> no, just dont' need the caffaiene this time of day
[dscrdeql] <AdventureCrypto> i llikke camomile tea
[dscrdeql] <AdventureCrypto> herbal teas are good for you
[dscrdeql] <AndronicusBass-Founder> camomile tea is nice.
[dscrdeql] <AndronicusBass-Founder> Its relaxing and i just found out about another relaxing tea, passion vine tea or passion flower tea
[dscrdeql] <jellysmash> i haven't heard of passion flower tea...
[dscrdeql] <jellysmash> i'll see what's in coles or woolies in the next few days


‘What a disgrace’ – These fans react to star’s omission from England lineup
by Jaikuran RandhawaGareth Southgate has made five changes to the starting lineup that beat Montenegro 7-0 on Thursday night. The Three Lions have already secured the top spot in their European Championships qualifying group.
Southgate has decided to give Burnley goalkeeper Nick Pope the chance to shine in the place of England No.1 Jordan Pickford.
There’s only one change in defence with Aston Villa’s Tyrone Mings coming in for John Stones. In central midfielder Southgate has also gone for little change with Declan Rice coming into the fold for Mason Mount.
Manchester City superstar Raheem Sterling is back in the starting lineup after his incident with Joe Gomez, the winger comes in for Jadon Sancho.
Chelsea sensation Callum Hudson-Odoi replaces Marcus Rashford in the starting lineup.
Check out England’s lineup below:
Some fans are disappointed to see that Blues stalwart Fikayo Tomori is yet to receive his first England cap, the ace is on the bench.
Here’s how some fans reacted to the team selection:
Calls for Tomori to be given a chance seem fair, the youngster has been formidable for the Blues so far this season.
Given that Joe Gomez has left international duty we’d think that Tomori has a good chance of making his debut if Southgate makes any defensive substitutions tonight.
Slight rotation was expected for today’s clash, but given that there’s essentially nothing to play for – we expected that Southgate would shake things up completely.


Welcome to the Tech Returners Surgery!
About Us
Call us at 0333 050 9138The Tech Returners Surgery,
115 Mancunian Way,
Manchester,
UK,
M20 3PX
Opening Times:
Monday - Friday: to
Saturday - Sundays: to
COVID RESTRICTION UPDATE
Throughout the pandemic we have strove to make the surgery as safe as possible for all our patients and staff, we will continue to do so.
From the 19TH JULY 2021 NOTHING WILL CHANGE AT THE SURGERY – Patients will still need to wear a mask, socially distance and use hand sanitiser in the surgery and staff will continue to wear PPE. If you arrive without a mask and are not exempt, you will be asked to leave.


 "But I can't stop people having their opinions." The problem, he knew, was that it wasn't just "people"; it was those people: men inside the place where he worked, although maybe not for much longer. It was October last year and, while it seems preposterous now and seemed silly even then, Real Madrid's manager was on the edge.
Never mind the three European Cups in a row, a feat that's worth repeating. Three. European Cups. In. A. Row. Never mind the 2016-17 league title, one of only two Madrid had won in the previous 12 years. Never mind the fact that he had answered their call for help, returning in a crisis earlier in the year because they needed him when he could have declined and lived off that success forever. The start to the season had not been good; one point from two Champions League games and defeat at Mallorca meant the pressure built, the familiar shadow of Jose Mourinho hovering once more.


DO NOT IMPLEMENT!!!
WEBGL_compressed_texture_etc1
WebGL working group (public_webgl 'at' khronos.org)
Members of the WebGL working group
Last modified date: February 23, 2012
Revision: 1
WebGL extension #XYZ
Written against the WebGL API 1.0 specification.
This extension exposes the compressed texture format defined in the OES_compressed_ETC1_RGB8_texture OpenGL ES extension to WebGL.
When this extension is enabled:
COMPRESSED_RGB_ETC1_WEBGL
may be passed to
the compressedTexImage2D
and compressedTexSubImage2D
entry points.
This format correspond to the format defined in the OES_compressed_ETC1_RGB8_texture OpenGL ES
extension. Although the enum name is changed, the numeric value is the same. The correspondence
is given by this table:
| WebGL format enum | OpenGL format enum | Numeric value |
|---|---|---|
| COMPRESSED_RGB_ETC1_WEBGL | ETC1_RGB8_OES | 0x8D64 |
getParameter
with the argument COMPRESSED_TEXTURE_FORMATS
will include the format from this specification.
The following format-specific restrictions must be enforced:
The length of the ArrayBufferView, pixels
, passed to either
compressedTexImage2D
or compressedTexSubImage2D
must be equal to the following number of bytes:
floor((width + 3) / 4) * floor((height + 3) / 4) * 8
If it is not, an INVALID_VALUE
error is generated.
interface WEBGL_compressed_texture_etc1 { /* Compressed Texture Format */ const GLenum COMPRESSED_RGB_ETC1_WEBGL = 0x8D64; };
Revision 1, 2012/02/23


Intro to Ruby & Web Dev: The Object Model
10 Sep 2014What is OOP?
A way for progammers to deal with large, complex systems. One small change could be catastrophic in terms of the impact it could have on relevant parts within the system. Prorgrammers needed to create containers for code that could be changed without impacting the entire program. To section off code that performs certain procedures so that it became an interation of many small parts as opposed to one massive blob of code dependenies.
Encapsulation
is hiding peices of functionality and making it unavailable to the rest of the code base. It is form of data protection so that the data cannot change or be manipulated without intention. This allows your code to achieve new levels of complexity creating objects and exposin interfaces (i.e. methods) that allow these methods to interact.
Polymorphism
ability for data to be represented as many different types. Allows pre-written code to be used for different purposes.
Inheritance
class inherits the behavior of another class -- referred to as the superclass. This gives Ruby Programmers the ability to define large usabilty and smaller Subclass, with more defined, detailed behavior.
Modules
Modules are similar to classes in the they contain shared behavior, however you cannot create an object with a module. A module, must be mixed in with a class using the reserved word: include. This is called a "mixin" and after used in a module, the behanviors declared in the module are available to the class and its objects.
What are objects?
In Ruby, everything is an object. Objects are created from classes.
Class
Ruby defines attributes and behaviors of its objects in classes
Instantation
creating an object/instance of a class
Module
A collection of behaviors that useable by other classes, called mixins using the word "include"
Example: Create a class, create an object, use a mixin.
module Speak
def speak(sound)
puts #{sound}
end
end
class HumanBeing
include Speak
end
jamela = Humanbeing.new
jamela.speak('Hello!')


The Country codelist is generated from the ISO 3166-1 part of the ISO 3166 standard. The standard makes allowance, alongside the officially assigned codes, for code elements to be expanded by using either reserved codes or user-assigned codes. IATI currently defines additional codes in the XA -XZ range.
External URL: http://www.iso.org/iso/home/standards/country_codes.htm
This is a Replicated codelist.


>>
<<
Usr
Pri
JfC
LJ
Phr
Dic
Rel
Voc
!:
Help
User
cd Domain Error and GetLastError Information
cder'' returns information about a cd domain error:
0 0 - no error
1 0 - file not found
2 0 - procedure not found
3 0 - too many DLLs loaded (max 20)
4 0 - too many or too few parameters
5 x - declaration x invalid
6 x - parameter x type doesn't match declaration
7 0 - system limit - linux64 max 8 float/double scalars
cderx'' returns GetLastError and text from the last cd.
>>
<<
Usr
Pri
JfC
LJ
Phr
Dic
Rel
Voc
!:
Help
User


Jukebox
Song Progress :
Song Progress :
fast_rewind
play_arrow
fast_forward
filter_drama
volume_up
add
reorder
close
link


Bus driver cut free by firefighters in Preston after crash with road sweeper
by David NowellA bus driver was cut free from his vehicle after a crash in Preston.
Emergency services were called to Tanterton Hall Road at around 4.45pm yesterday (Friday).
Fire crews from Preston, Penwortham, and Bamber Bridge along with an Urban Search and Rescue team were called to reports of a road traffic collision between a bus and a road sweeper.
The driver of the bus was trapped in the cab of the vehicle and firefighters used holmatro cutting and spreading equipment to get the driver free.
The casualty was left in the care of paramedics at the scene and firefighters were in attendance approximately 30 minutes.
In another incident, firefighters from Preston and Longridge were called to reports of a road traffic collision on Preston Road, Longridge.
The incident at 7.20pm involved two trapped casualties.
Crews used holmatro cutting and spreading equipment to free both casualties who were then tended to by paramedics at the scene.
Fire crews were in attendance approximately 30 minutes.
And at around 4am today, firefighters from Longridge were called to a vehicle fire near to Crumpax Avenue, Longridge.
The vehicle was well alight when firefighters arrived at the scene - an alley, close to a house.
They used breathing apparatus, a hose reel and a ventilation unit to extinguish the fire.
The cause of the fire is now under investigation.


Package org.drip.sample.betafloatfloat
Two Beta Float Float Scheme
- Author:
- Lakshmi Krishnamurthy
-
Class Summary Class Description AdvisoryBreakdown AdvisoryBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.AIBreakdown AIBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CAIBreakdown CAIBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CapitalMarketsOrganizationBreakdown CapitalMarketsOrganizationBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CardsBreakdown CardsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CashBreakdown CashBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CLPBreakdown CLPBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CommodtsHoustonBreakdown CommodtsHoustonBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.ConsumerOtherBreakdown ConsumerOtherBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.ConvertsBreakdown ConvertsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CorpCtrBreakdown CorpCtrBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CreditMacroHedgeBreakdown CreditMacroHedgeBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CreditMarketsBreakdown CreditMarketsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.CreditTradingBreakdown CreditTradingBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.DistressedBreakdown DistressedBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.EMCreditTradingBreakdown EMCreditTradingBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.EquitiesBreakdown EquitiesBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.EquityDerivativeBreakdown EquityDerivativeBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.EquityUndwrtBreakdown EquityUndwrtBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.FinanceBreakdown FinanceBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.G10RatesBreakdown G10RatesBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.GlblSecuritizedMarketsBreakdown GlblSecuritizedMarketsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.GTSBreakdown GTSBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.GWMBreakdown GWMBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.IGBondsBreakdown IGBondsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.IGPrmryLoansBreakdown IGPrmryLoansBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.InternationalRetailBankingBreakdown InternationalRetailBankingBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.LevFinBreakdown LevFinBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.LoanPortfolioManagementBreakdown LoanPortfolioManagementBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.LocalMktsBreakdown LocalMktsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.LongTermAssetGroupBreakdown LongTermAssetGroupBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.MunicipalSecuritiesBreakdown MunicipalSecuritiesBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.MunisBreakdown MunisBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.OSBBreakdown OSBBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.OtherBAMBreakdown OtherBAMBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.OtherConsumerBreakdown OtherConsumerBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.OtherFIUndwrtngBreakdown OtherFIUndwrtngBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.OtherGlblMktsBreakdown OtherGlblMktsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.OtherSpecialAssetPoolBreakdown OtherSpecialAssetPoolBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.PECDBreakdown PECDBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.PrimeFinanceBreakdown PrimeFinanceBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.PrimericaFinancialServicesBreakdown PrimericaFinancialServicesBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.ProjectFinanceBreakdown ProjectFinanceBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.RatesAndCurrenciesBreakdown RatesAndCurrenciesBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.RealEstateLendingBreakdown RealEstateLendingBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.RetailBankingBreakdown RetailBankingBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.RiskTreasuryBreakdown RiskTreasuryBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.SecuritizedMktsBreakdown SecuritizedMktsBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.ShortTermBreakdown ShortTermBreakdown zeds the Managed Sub-segment Level Allocation for the Specified Managed Segment using the Two Beta Scheme.


Weekly musing #11 - Homework
Bitcoin ABC
Work is progressing towards the Bitcoin ABC implementation. Already it was able to digest blocks slightly larger than 8MB on BU's no-limits testnet. In regression tests, sizes up to 16MB have not posed a problem.
Scaling Bitcoin Core may not be as simple as adjusting a single constant, but ABC proves it can be done.
UAHF
The release of the UAHF contingency plan [3] and the accompanying technical specification [4] marked a decisive answer to the threat posed to Bitcoin's security by BIP-148 (UASF).
ABC adaptations for the counter HF to the upcoming UASF are in an advanced stage and expected to be ready for validation soon.
Bitcoin Unlimited
BU is working on a UAHF-compatible specification [5]. It is provisionally called 'BUIP-HF'. Development is going to be channeled through the 'buip-hf' branch on my Github repository, from where I will feed Pull Requests back to BU.
A guidance document has been created for contributing BU developers.
Preparations are also underway for another point release of BU prior to a major release later this year which should bring most of the 'dev' branch changes over to 'release'.
BTCfork MVF
I'm considering adapting the SegWit trigger condition of the MVF's to take into account the planned SegWit2x activation conditions (which seem to have swung in favor of BIP-91 now). Still to be decided, but my stance is unchanged - in the event of SegWit activating on the main chain, there should be a spin-off to provide a SegWit-free alternative. This could be UAHF, but since that is planned to activate some hours after UASF, it could make sense to activate an earlier spin-off at the same time as UASF.
References
[1] Image of blackboard derived from https://commons.wikimedia.org/w/index.php?curid=36633029
by Raysonho @ Open Grid Scheduler / Grid Engine - own work, CC0
[2] Image of academic with square cap derived from https://commons.wikimedia.org/w/index.php?curid=14939026
by Gardner Cotrell Leonard - “Academic Costume.” in A Cyclopedia of Education, edited by Paul Monroe, 17, New York: The Macmillan Company, 1911., Public Domain
[3] UAHF: A contingency plan against UASF (BIP148)


For the last two years, human civilization has gone through a rough patch that because of Covid-19 but humans are recognized as species who never quit and thanks to this belief humans are fighting against all odds. So, on our part, we tried to provide assistance to our fellow beings by the means of this multi-purpose website. This site provide the following purposes:
⦿ Provide Suggestive readings to help fight Covid-19.
⦿ Provide Covid Essential at best prices.
⦿ Provide stats for the current scenereio of Covid-19 in the world.
⦿ And Many More....


Contact
I'd love to discuss arrangements with anyone who feels my style is a good fit for their needs. Feel free contact me for any project.
Location
CareerFoundry GmbH
Köpenicker Str. 126
10179 Berlin
Deutschland
Phone Number: call me at +1-512-937-2322
Email<EMAIL_ADDRESS>Skype: mrswasabe


Now, we are going to get into the process of replacing words.
If stemming and lemmatization are a kind of linguistic compression,
then word replacement can be thought of as error correction or text normalization.
In this recipe, we will replace words based on regular expressions,
with a focus on expanding contractions.
Remember when we were tokenizing words in Chapter 1, Tokenizing Text and WordNet Basics,
and it was clear that most tokenizers had trouble with contractions?
This recipe aims to x this by replacing contractions with their expanded forms,
for example, by replacing "can't" with "cannot" or "would've" with "would have".
We will create a class that has the same form as the RegexpReplacer class from the previous recipe.
It will have a replace() method that takes a single word and returns a more correct version of that word,
with the dubious repeating characters removed.
This code can be found in replacers.py in the book's code bundle and is meant to be imported:
Let's Get In Touch!
Interested? Give us a call or send us an email and we will get back to you as soon as possible!


Use the Coffee-Script extends keyword outside of Coffee-Script. Useful for easily extending existing existing classes, e.g. require('csextends')(klass, extensions)
, and for providing your module consumers with an easy way to extend your classes, i.e. Backbone.Model.extend(extensions)
.
Check out the interactive code snippet for usage here.
npm install --save csextends
require('csextends')
npm install --save csextends
require('csextends')
<EMAIL_ADDRESS>ender add csextends
require('csextends')
This package is published with the following editions:
csextends/source/index.coffee
is Source + CoffeeScript + Requirecsextends
aliases csextends/es5/index.js
csextends/es5/index.js
is CoffeeScript Compiled + ES5 + RequireDiscover the release history by heading on over to the HISTORY.md
file.
Discover how you can contribute by heading on over to the CONTRIBUTING.md
file.
These amazing people are maintaining this project:
No sponsors yet! Will you be the first?
These amazing people have contributed code to this project:
Discover how you can contribute by heading on over to the CONTRIBUTING.md
file.
Unless stated otherwise all works are:
and licensed under:


Hello
I managed to build a system with RaspberryPI, emonTx and emonGLCD.
I downloaded firmware into emonGLCD and emonTX (setting the right frequency first).
On the emonGLCD I used the "solarPV" example from the "EmonGLCD-master" file I got from GIT.
On the raspberry I used the "ready to go" image
Now I have data flowing this way:
emonbase ->RaspberryPI (I can see the node and the data values on the integrated web server)
emonGLCD->RaspberryPI (I can see the node and the data values on the integrated web server)
but I cannot see data RaspberryPI ->emonGLCD and the display shows "baseFail"
From the "solarPV" example I see no "payload" structure for receiving data from emonbase...
Am I right?
How to configure data raspberry->emonGLCD?
thanks
Re: Data RaspberryPI -> emonGLCD
Hi.
I guess you mean "emonTX ->RaspberryPI", not "emonbase ->RaspberryPI".
I don't have any emonGLCD myself. As far as I understand from the doc (http://openenergymonitor.org/emon/emonglcd), it is supposed to receive
- data from emonTX
- time from emonBase
I don't know about data from emonTX, but regarding time from emonBase, you might be interested in reading the comments on this page :
http://harizanov.com/2013/02/new-rfm2pi-board-in-the-works/
I implemented a new emonBase gateway that implements the "send time to emonGLCD" feature :
https://github.com/emoncms/raspberrypi/pull/10
I shall write a quick how to. Nothing really complicated. Stop raspberry_run.py (remonve cron line), launch rfm2pigateway.py. A little more work if you want automatic launch on startup, etc, but it may be worth trying.
Re: Data RaspberryPI -> emonGLCD
Thanks for the reply.
What I need is just feed the clock data from raspberry to emonGLCD.
I am a newbie when it comes to linux.
I found the entry on the crontab file pointing to the raspberrypi_run.php
I followed the procedures in Jit (Jerome-github / emoncms_raspberrypi)... but somehow it is not working. I guess that I have to make some parametrization somewhere...
I do not know where the updated raspberry_run is located, but it is not in the location pointed by the crontab, so I guess that I am still running with the old code.
Any suggestion?
Thanks for the impressive work!
Re: Data RaspberryPI -> emonGLCD
Hi.
The gateway I wrote that does send time to GLCD (this part was coded but not tested yet, I'm interested in user feedback) is a python script : rfm2pygateway.py. It comes as an alternative to raspberry_run.php.
I guess I need to clarify this. Let me write a how to, and come back here afterwards.
Re: Data RaspberryPI -> emonGLCD
Thanks for the reply!
I am looking forward to test the code when it will be ready (I should get connect my PV plant to the grid this week and so I am in the mood to "play" with emonTX, raspberry, and emonglcd).
Bye
Re: Data RaspberryPI -> emonGLCD
If you feel adventurous, there's a guick how to on my profile. It involves moving to emoncms dev branch.
It might be simpler for you to just modify raspberry_run.php as suggested in http://harizanov.com/2013/02/new-rfm2pi-board-in-the-works/. At least it is worth trying.


abstract class RouteSelector
Base type for all routing selectors
quality
- indicates how good this selector is compared to siblings
RouteSelector(quality: Double)
Base type for all routing selectors |
val quality: Double |
abstract fun evaluate(context: RoutingResolveContext, segmentIndex: Int): RouteSelectorEvaluation
Evaluates this selector against context and a path segment at segmentIndex |
data class AndRouteSelector : RouteSelector
Evaluates a route as a result of the AND operation using two other selectors |
|
data class ConstantParameterRouteSelector : RouteSelector
Evaluates a route against a constant query parameter value |
|
data class HttpAcceptRouteSelector : RouteSelector
Evaluates a route against a content-type in the HttpHeaders.Accept header in the request |
|
data class HttpHeaderRouteSelector : RouteSelector
Evaluates a route against a header in the request |
|
data class HttpMethodRouteSelector : RouteSelector
Evaluates a route against an HttpMethod |
|
data class OptionalParameterRouteSelector : RouteSelector
Evaluates a route against an optional query parameter value and captures its value, if found |
|
data class OrRouteSelector : RouteSelector
Evaluates a route as a result of the OR operation using two other selectors |
|
data class ParameterRouteSelector : RouteSelector
Evaluates a route against a query parameter value and captures its value |
|
data class PathSegmentConstantRouteSelector : RouteSelector
Evaluates a route against a constant path segment |
|
data class PathSegmentOptionalParameterRouteSelector : RouteSelector
Evaluates a route against an optional parameter path segment and captures its value, if any |
|
data class PathSegmentParameterRouteSelector : RouteSelector
Evaluates a route against a parameter path segment and captures its value |
|
data class PathSegmentTailcardRouteSelector : RouteSelector
Evaluates a route against any number of trailing path segments, and captures their values |
|
object PathSegmentWildcardRouteSelector : RouteSelector
Evaluates a route against any single path segment |


Loader Base Class¶
Loaders take a pyspark.sql.DataFrame
as an input and save it to a sink.
Each Loader class has to have a load method which takes a DataFrame as single paremter.
Possible Loader sinks can be Hive Tables, Kudu Tables, HBase Tables, JDBC Sinks or ParquetFiles.
Create your own Loader¶
Let your loader class inherit from the loader base class. This includes the name, string representation and logger attributes from the superclass.
All configuration and parameterization should be done while initializing the class instance.
Here would be a simple example for a loader which save a DataFrame to parquet files:
Exemplary Sample Code¶
from pyspark.sql import functions as F
from loader import Loader
class ParquetLoader(loader):
"""
This is a simplified example on how to implement a new loader class.
Please take your time to write proper docstrings as they are automatically
parsed via Sphinx to build the HTML and PDF documentation.
Docstrings use the style of Numpy (via the napoleon plug-in).
This class uses the :meth:`pyspark.sql.DataFrameWriter.parquet` method internally.
Examples
--------
input_df = some_extractor_instance.extract()
output_df = some_transformer_instance.transform(input_df)
ParquetLoader(
path="data/parquet_files",
partition_by="dt",
explicit_partition_values=20200201,
compression=""gzip""
).load(output_df)
Parameters
----------
path: :any:`str`
The path to where the loader persists the output parquet files.
If partitioning is set, this will be the base path where the partitions
are stored.
partition_by: :any:`str` or :any:`list` of (:any:`str`)
The column name or names by which the output should be partitioned.
If the partition_by parameter is set to None, no partitioning will be
performed.
Defaults to "dt"
explicit_partition_values: :any:`str` or :any:`int`
or :any:`list` of (:any:`str` and :any:`int`)
Only allowed if partition_by is not None.
If explicit_partition_values is not None, the dataframe will
* overwrite the partition_by columns values if it already exists or
* create and fill the partition_by columns if they do not yet exist
Defaults to None
compression: :any:`str`
The compression codec used for the parquet output files.
Defaults to "snappy"
Raises
------
:any:`exceptions.AssertionError`:
explicit_partition_values can only be used when partition_by is not None
:any:`exceptions.AssertionError`:
explicit_partition_values and partition_by must have the same length
"""
def __init__(self, path, partition_by="dt", explicit_partition_values=None, compression_codec="snappy"):
super(ParquetLoader, self).__init__()
self.path = path
self.partition_by = partition_by
self.explicit_partition_values = explicit_partition_values
self.compression_codec = compression_codec
if explicit_partition_values is not None:
assert (partition_by is not None,
"explicit_partition_values can only be used when partition_by is not None")
assert (len(partition_by) == len(explicit_partition_values),
"explicit_partition_values and partition_by must have the same length")
def load(self, input_df):
self.logger.info("Persisting DataFrame as Parquet Files to " + self.path)
if isinstance(self.explicit_partition_values, list):
for (k, v) in zip(self.partition_by, self.explicit_partition_values):
input_df = input_df.withColumn(k, F.lit(v))
elif isinstance(self.explicit_partition_values, basestring):
input_df = input_df.withColumn(self.partition_by, F.lit(self.explicit_partition_values))
input_df.write.parquet(
path=self.path,
partitionBy=self.partition_by,
compression=self.compression_codec
)
References to include¶
This makes it possible to import the new loader class directly from spooq2.loader instead of spooq2.loader.parquet. It will also be imported if you use from spooq2.loader import *.
--- original
+++ adapted
@@ -1,7 +1,9 @@
from loader import Loader
from hive_loader import HiveLoader
+from parquet import ParquetLoader
__all__ = [
"Loader",
"HiveLoader",
+ "ParquetLoader",
]
Tests¶
One of Spooq2’s features is to provide tested code for multiple data pipelines. Please take your time to write sufficient unit tests! You can reuse test data from tests/data or create a new schema / data set if needed. A SparkSession is provided as a global fixture called spark_session.
import pytest
from pyspark.sql.dataframe import DataFrame
from spooq2.loader import ParquetLoader
@pytest.fixture(scope="module")
def output_path(tmpdir_factory):
return str(tmpdir_factory.mktemp("parquet_output"))
@pytest.fixture(scope="module")
def default_loader(output_path):
return ParquetLoader(
path=output_path,
partition_by="attributes.gender",
explicit_partition_values=None,
compression_codec=None
)
@pytest.fixture(scope="module")
def input_df(spark_session):
return spark_session.read.parquet("../data/schema_v1/parquetFiles")
@pytest.fixture(scope="module")
def loaded_df(default_loader, input_df, spark_session, output_path):
default_loader.load(input_df)
return spark_session.read.parquet(output_path)
class TestBasicAttributes(object):
def test_logger_should_be_accessible(self, default_loader):
assert hasattr(default_loader, "logger")
def test_name_is_set(self, default_loader):
assert default_loader.name == "ParquetLoader"
def test_str_representation_is_correct(self, default_loader):
assert unicode(default_loader) == "loader Object of Class ParquetLoader"
class TestParquetLoader(object):
def test_count_did_not_change(loaded_df, input_df):
"""Persisted DataFrame has the same number of records than the input DataFrame"""
assert input_df.count() == output_df.count() and input_df.count() > 0
def test_schema_is_unchanged(loaded_df, input_df):
"""Loaded DataFrame has the same schema as the input DataFrame"""
assert loaded.schema == input_df.schema
Documentation¶
You need to create a rst for your loader which needs to contain at minimum the automodule or the autoclass directive.
Parquet Loader
===============================
Some text if you like...
.. automodule:: spooq2.loader.parquet
To automatically include your new loader in the HTML / PDF documentation you need to add it to a toctree directive. Just refer to your newly created parquet.rst file within the loader overview page.
--- original
+++ adapted
@@ -7,4 +7,5 @@
.. toctree::
hive_loader
+ parquet
Class Diagram of Loader Subpackage
That should be it!


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
Properties
| Name | Type | Description |
|---|---|---|
| acknowledged* | xsd:boolean |
Flag to indicate if the alarm's actions have been acknowledged for the
associated ManagedEntity.
Since vSphere API 4.0 |
| acknowledgedByUser* | xsd:string |
The user who acknowledged this triggering. If the triggering has not
been acknowledged, then the value is not valid.
Since vSphere API 4.0 |
| acknowledgedTime* | xsd:dateTime |
The time this triggering was acknowledged. If the triggering has not
been acknowledged, then the value is not valid.
Since vSphere API 4.0 |
| alarm | ManagedObjectReference
to a Alarm |
Alarm object from which the AlarmState object is instantiated.
|
| entity | ManagedObjectReference
to a ManagedEntity |
Entity on which the alarm is instantiated.
|
| eventKey* | xsd:int |
Contains the key of the event that has triggered the alarm. The value
is set only for event based alarms. The value is not set for gray or
manually reset alarms (via vim.AlarmManager.setAlarmStatus).
Since vSphere API 6.0 |
| key | xsd:string |
Unique key that identifies the alarm.
|
| overallStatus | ManagedEntityStatus |
Overall status of the alarm object.
This is the value of the alarm's top-level expression.
In releases after vSphere API 5.0, vSphere Servers might not
generate property collector update notifications for this property.
To obtain the latest value of the property, you can use
PropertyCollector methods RetrievePropertiesEx or WaitForUpdatesEx.
If you use the PropertyCollector.WaitForUpdatesEx method, specify
an empty string for the version parameter.
Since this property is on a DataObject, an update returned by WaitForUpdatesEx may
contain values for this property when some other property on the DataObject changes.
If this update is a result of a call to WaitForUpdatesEx with a non-empty
version parameter, the value for this property may not be current.
|
| time | xsd:dateTime |
Time the alarm triggered.
|
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


I went to Riara primary school were after i went and joined a new high school called Nova Pioneer. I am yet to join the univeristy.
I decided to take a course in programming so that it would help me pick a course when i go to University.


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Abstract:
We calculate rates of ice thickness change and bottom melt for ice shelves
in West Antarctica and the Antarctic Peninsula from a combination of
elevation measurements from NASA/CECS Antarctic ice mapping campaigns
and NASA Operation IceBridge corrected for oceanic processes from
measurements and models, surface velocity measurements from synthetic
aperture radar, and high-resolution outputs from regional climate models.
The ice thickness change rates are calculated in a Lagrangian reference
frame to reduce the effects from advection of sharp vertical features,
such as cracks and crevasses, that can saturate Eulerian-derived
estimates. We use our method over different ice shelves in Antarctica,
which vary in terms of size, repeat coverage from airborne altimetry and
dominant processes governing their recent changes. We find that the
Larsen-C Ice Shelf is close to steady state over our observation period
with spatial variations in ice thickness largely due to the flux
divergence of the shelf. Firn and surface processes are responsible for
some short-term variability in ice thickness of the Larsen-C Ice Shelf
over the time period. The Wilkins Ice Shelf is sensitive to short
time-scale coastal and upper-ocean processes, and basal melt is the
dominate contributor to the ice thickness change over the period. At the
Pine Island Ice Shelf in the critical region near in the grounding zone,
we find that ice shelf thinning rates exceed 40 m/yr with the change
dominated by strong submarine melting. Regions near the grounding zones
of the Dotson and Crosson Ice Shelves are thinning at rates greater than
40 m/yr, also due to intense basal melt. Operation IceBridge provides a
validation dataset for floating ice shelves at moderately high resolution
when co-registered using Lagrangian methods.


This environment is part of the SISL environments. Please read that page first for general information.
| Observations | Actions | Agents | Manual Control | Action Shape | Action Values | Num States |
|---|---|---|---|---|---|---|
| Graphical | Either | 8 (+/-) | Yes | (1,) | [0,4] | ? |
from pettingzoo.sisl import pursuit_v0
agents= ["pursuer_0", "pursuer_1", ..., "pursuer_7"]
AEC diagram
By default there are 30 blue evaders and 8 red pursuer agents, in a 16 x 16 grid with an obstacle in the center, shown in white. The evaders move randomly, and the pursuers are controlled. Every time the pursuers fully surround an evader, each of the surrounding agents receives a reward of 5, and the evader is removed from the environment. Pursuers also receive a reward of 0.01 every time they touch an evader. The pursuers have a discrete action space of up, down, left, right and stay. Each pursuer observes a 7 x 7 grid centered around itself, depicted by the orange boxes surrounding the red pursuer agents. The enviroment runs for 500 frames by default. Observation shape takes the full form of (3, obs_range, obs_range)
.
Manual Control:
Select different pursuers with ‘J’ and ‘K’. The selected pursuer can be moved with the arrow keys.
pursuit.env(max_frames=500, xs=16, ys=16, reward_mech='local', n_evaders=30, n_pursuers=8,
obs_range=7, layer_norm=10, n_catch=2, random_opponents=False, max_opponents=10,
freeze_evaders=False, catchr=0.01, caughtr=-0.01, term_pursuit=5.0,
urgency_reward=0.0, surround=True, constraint_window=1.0,
train_pursuit=True, ally_layer=AgentLayer(xs, ys, n_pursuers),
opponent_layer=AgentLayer(xs, ys, n_evaders))
about arguments
max_frames: after max_frames steps all agents will return done
xs, ys: size of environment world space
reward_mech: Whether a single pursuer is rewarded for an evader being caught, or all pursuers are rewarded
n_evaders: Number of evaders
n_pursuers: Number of pursuers
obs_range: Radius of agent observation view
layer_norm: Scalar value that the observation matrix is divided by
n_catch: Number pursuers required around an evader to be considered caught
random_opponents: Whether to randomize number of evaders on reset or use argument amount
max_opponents: Maximum number of random evaders on reset, if random_opponents specified
freeze_evaders: Toggles if evaders can move or not
catchr: Reward for 'tagging' a single evader
caughtr: Reward for getting 'tagged' by a pursuer
term_pursuit: Reward added when a pursuer or pursuers catch an evader
urgency_reward: Reward to agent added in each step
surround: Toggles whether evader is removed when surrounded, or when n_catch pursuers are on top of evader
constraint_window: Window in which agents can randomly spawn into the environment world
train_pursuit: Flag indicating if we are simulating pursuers or evaders
ally_layer: Initial pursuers in world
opponent_layer: Initial evader in world
Leaderboard:
| Average Total Reward | Method | Institution | Paper | Code |
|---|---|---|---|---|
| x | PPO | UMD |


Above you will find a table containing data of Salmon Cookie sales on all store locations across Seattle. Data has been entered to render information based on store hours of operation.


Google Earth Enterprise Documentation Home | GEE Server administration
Snippet profiles page
The Snippet profiles page of the GEE Server Admin console is where you manage Snippet profiles for use with 3D Fusion databases. Snippet profiles allow specific snippet needs to be managed and uniformly applied to all databases that require them. From this page, you can:
- Create new snippets:
- Click Create new, add a name, and click Create.
- Select one or more snippets.
- Click Save changes.
-
Edit snippet profiles: Click a snippet name and edit it, then click Save changes.
-
Delete a snippet by clicking Delete next to a snippet name.


We are built to build web solutions that can help execute business processes efficiently.
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We are readily equipped to implement various innovative mobile apps for any reason.
We can fashion effective videos that are fresh, slick, groundbreaking and revolutionary.
We fabricate automation, sensor, and wireless control systems by coupling hardware with software.
We are a bunch of crazy geeks and artists with one common passion, the love for design and code. The team decided to start a company with a single vision in mind - to provide unique and creative solutions that will reinforce and establish the value of market-driven brands.
The Movie Junkie
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The Selfie
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Your passion
(632) 551 6196
<EMAIL_ADDRESS>UPH-G Burgundy Corporate Tower
252 Senator Gil Puyat AvenueMakati City 1200


Responsive Horizontal-to-Vertical Menu
This example shows how you can build upon Pure Menu and Grid classes. At wide window-widths we display a horizontal menu. At smaller window-widths, we switch to a vertical menu with a toggle control. Grids are used to arrange the menus.


| GeoNames Home | Postal Codes | Download / Webservice | About | |
| Url | » | ws.geonames.org/postalCodeSearch? |
| Result | » |
returns a list of postal codes and places for the
placename/postalcode query as xml document
For the US the first returned zip code is determined using zip code area shapes, the following zip codes are based on the centroid. For all other supported countries all returned postal codes are based on centroids. |
| Parameter | Value | Description |
|---|---|---|
| postalcode | string (postalcode or placename required) | postal code |
| postalcode_startsWith | string | the first characters or letters of a postal code |
| placename | string (postalcode or placename required) | all fields : placename,postal code, country, admin name (Important: urlencoded utf8) |
| placename_startsWith | string | the first characters of a place name |
| country | string : country code, ISO-3166 (optional) | Default is all countries. |
| countryBias | string | records from the countryBias are listed first |
| maxRows | integer (optional) | the maximal number of rows in the document returned by the service. Default is 10 |
| style | string SHORT,MEDIUM,LONG,FULL (optional) | verbosity of returned xml document, default = MEDIUM |
| operator | string AND,OR (optional) | the operator 'AND' searches for all terms in the placename parameter, the operator 'OR' searches for any term, default = AND |
| charset | string (optional) | default is 'UTF8', defines the encoding used for the document returned by the web service. |
| isReduced | true or false (optional) | default is 'false', when set to 'true' only the UK outer codes are returned. Attention: the default value on the commercial servers is currently set to 'true'. It will be changed later to 'false'. |
Example http://ws.geonames.org/postalCodeSearch?postalcode=9011&maxRows=10
This service is also available in JSON format : http://ws.geonames.org/postalCodeSearchJSON?postalcode=9011&maxRows=10


#include <quic_epoll_connection_helper.h>
◆ QuicEpollConnectionHelper()
| net::QuicEpollConnectionHelper::QuicEpollConnectionHelper |
( |
EpollServer * |
eps, |
|
|
QuicAllocator |
allocator |
|
) |
| |
◆ ~QuicEpollConnectionHelper()
| net::QuicEpollConnectionHelper::~QuicEpollConnectionHelper |
( |
| ) |
|
|
overridedefault |
◆ GetClock()
| const QuicClock * net::QuicEpollConnectionHelper::GetClock |
( |
| ) |
const |
|
override |
◆ GetRandomGenerator()
| QuicRandom * net::QuicEpollConnectionHelper::GetRandomGenerator |
( |
| ) |
|
|
override |
◆ GetStreamSendBufferAllocator()
| QuicBufferAllocator * net::QuicEpollConnectionHelper::GetStreamSendBufferAllocator |
( |
| ) |
|
|
override |
◆ QuicConnectionPeer
| friend class QuicConnectionPeer |
|
friend |
The documentation for this class was generated from the following files:


Apache Lucene set the standard for search and indexing performance.
Lucene is the search core of both Apache Solr™ and Elasticsearch™.
Proven search capabilities
Our core algorithms along with the Solr search server power applications the world over, ranging
from mobile devices to sites like Twitter, Apple and Wikipedia.
Large, Vibrant community
The goal of Apache Lucene is to provide world class search capabilities
Apache 2.0 licensed
Apache Lucene is distributed under a commercially friendly Apache Software license


- MapsController route generation
- should map { :controller => 'Maps', :action => 'index' } to /Maps
- should map { :controller => 'Maps', :action => 'new' } to /Maps/new
- should map { :controller => 'Maps', :action => 'show', :id => 1 } to /Maps/1
- should map { :controller => 'Maps', :action => 'edit', :id => 1 } to /Maps/1/edit
- should map { :controller => 'Maps', :action => 'update', :id => 1} to /Maps/1
- should map { :controller => 'Maps', :action => 'destroy', :id => 1} to /Maps/1
- MapsController route recognition
- should generate params { :controller => 'Maps', action => 'index' } from GET /Maps
- should generate params { :controller => 'Maps', action => 'new' } from GET /Maps/new
- should generate params { :controller => 'Maps', action => 'create' } from POST /Maps
- should generate params { :controller => 'Maps', action => 'show', id => '1' } from GET /Maps/1
- should generate params { :controller => 'Maps', action => 'edit', id => '1' } from GET /Maps/1;edit
- should generate params { :controller => 'Maps', action => 'update', id => '1' } from PUT /Maps/1
- should generate params { :controller => 'Maps', action => 'destroy', id => '1' } from DELETE /Maps/1
- MapsController handling GET /Maps
- should be successful
- should render index template
- should find all Maps
- should assign the found Maps for the view
- MapsController handling GET /Maps.xml
- should be successful
- should find all Maps
- should render the found Maps as xml
- MapsController handling GET /Maps/1
- should be successful
- should render show template
- should find the Map requested
- should assign the found Map for the view
- MapsController handling GET /Maps/1.xml
- should be successful
- should find the Map requested
- should render the found Map as xml
- MapsController handling GET /Maps/new
- should be successful
- should render new template
- should create an new Map
- should not save the new Map
- should assign the new Map for the view
- MapsController handling GET /Maps/1/edit
- should be successful
- should render edit template
- should find the Map requested
- should assign the found Map for the view
- MapsController handling POST /Maps with successful save
- should create a new Map
- should redirect to the new Map
- MapsController handling POST /Maps with failed save
- should re-render 'new'
- MapsController handling PUT /Maps/1 with successful update
- should find the Map requested
- should update the found Map
- should assign the found Map for the view
- should redirect to the Map
- MapsController handling PUT /Maps/1 with failed update
- should re-render 'edit'
- MapsController handling DELETE /Maps/1
- should find the Map requested
- should call destroy on the found Map
- should redirect to the Maps list
- Map
- should be valid
- should require title
- should have error on title (alternative)
- should have error on title (alternative with nil)
- should have error on title (only)
- MapsHelper
- should include the MapHelper
- /Maps/show.html.erb
- should render attributes in <p>
- /Maps/edit.html.erb
- should render edit form
- /Maps/index.html.erb
- should render list of Maps
- /Maps/new.html.erb
- should render new form


@@include("partials/head.html") @@include("partials/header.html")
There was an error. Go back to the homepage.


Validated / unvalidated
Crime in The Netherlands
Totals per year
Thank you for viewing this prototype
This prototype has a few advantages over how we currently deal with validated and unvalidated data:
-
Application is easier to understand:
No need to think about validated / unvalidated while choosing a date. -
The date picker is easier to use:
More dates are available because more dates have data (either validated or unvalidated). -
Information is easier to find:
Because a report contains both validated and unvalidate data, there are fewer empty states. -
Comparison between validated and unvalidated is easier:
Switching between the two is instant, requiring as little from the short term memory as possible.
But what if I only want to see validated data?
I tried to keep this example as simple as possible. Assuming that all data will be be validated once, viewing a report with only validated data requires the user to pick a date far enough back in time (2016 in this example). But offering only validated data (i.e. hiding unvalidated data), would be easy. A simple checkbox 'only show validated data' would suffice. Providing both options would make it a little more complex, but still very doable.
Why this prototype?
A year ago we thought of a way to display validated and unvalidated data. We choose to separate the data into different reports. Unfortunately, we did not anticipate ADPF’s wish to combine the data.
The whole combining of the data didn’t sit well with me. It broke the concept of separation, making the application harder to understand. However, combining the data was an explicit request from one of your clients. Moreover, other clients seem to agree with this (i.e. they didn’t request separated data). To me, this is a sign that I might have overestimated the importance of separating the data.
And then it struck me: we need to embrace the combination. By changing how we deal with validated and unvalidated data, we can have all the advantages of combining the data without the disadvantages. This prototype aims to show how that would work.


5
1 The sons of Reuben the firstborn of Israel—now Reuben was Israel's firstborn, but his birthright was given to the sons of Joseph son of Israel because Reuben had defiled his father's couch. So he is not recorded as being the oldest son.
2 Judah was the strongest of his brothers, and the leader would come from him. But the birthright was Joseph's—
3 the sons of Reuben, the firstborn of Israel were Hanoch, Pallu, Hezron, and Carmi.
4 The descendants of Joel were these:
Joel's son was Shemaiah.
Shemaiah's son was Gog.
Gog's son was Shimei.
5 Shimei's son was Micah.
Micah's son was Reaiah.
Reaiah's son was Baal.
6 Baal's son was Beerah, whom Tilgath Pileser king of Assyria took into exile. Beerah was a leader in the tribe of Reuben.
7 Beerah's relatives by their clans are the following, listed in their genealogical records: Jeiel the oldest, Zechariah, and
8 Bela son of Azaz, son of Shema, son of Joel. They lived in Aroer, as far as Nebo and Baal Meon,
9 and eastward to the start of the wilderness that extends to the Euphrates River. This was because they had many cattle in the land of Gilead.
10 In the days of Saul, the tribe of Reuben attacked the Hagrites and defeated them. They lived in the Hagrites' tents throughout all the land east of Gilead.
11 The members of the tribe of Gad lived near them, in the land of Bashan as far as Salecah.
12 Their leaders were Joel, who was a clan head, and Shapham, head of another clan; Janai, and Shaphat, in Bashan.
13 Their relatives, by their fathers' families, were Michael, Meshullam, Sheba, Jorai, Jacan, Zia, and Eber—seven in all.
14 These aforementioned persons were the descendants of Abihail, and
Abihail was the son of Huri.
Huri was the son of Jaroah.
Jaroah was the son of Gilead.
Gilead was the son of Michael.
Michael was the son of Jeshishai.
Jeshishai was the son of Jahdo.
Jahdo was the son of Buz.
15 Ahi son of Abdiel, son of Guni, was head of their fathers' family.
16 They lived in Gilead, in Bashan, in its towns, and in all the pasturelands of Sharon as far as its borders.
17 All these were listed by genealogical records in the days of Jotham king of Judah and of Jeroboam king of Israel.
18 The Reubenites, the Gadites, and the half tribe of Manasseh had forty-four thousand soldiers trained for war, who carried shield and sword, and who drew the bow.
19 They attacked the Hagrites, Jetur, and Naphish, and Nodab.
20 They received divine help against them. In this way, the Hagrites and all who were with them were defeated. This was because the Israelites cried out to God in the battle, and he responded to them, because they put their trust in him.
21 They captured their animals, including fifty thousand camels, 250,000 sheep, two thousand donkeys, and 100,000 men.
22 Because God fought for them, they killed many of the enemy. They lived in their land until the captivity.
23 The half tribe of Manasseh lived in the land of Bashan as far as Baal Hermon and Senir (that is, Mount Hermon).
24 These were the leaders of their families: Epher, Ishi, Eliel, Azriel, Jeremiah, Hodaviah, and Jahdiel. They were strong, courageous men, famous men, leaders of their families.
25 But they were unfaithful to their ancestors' God. Instead, they worshiped the gods of the peoples of the land, whom God had destroyed before them.
26 The God of Israel stirred up Pul king of Assyria (also called Tilgath Pileser), king of Assyria. He took into exile the Reubenites, Gadites, and the half tribe of Manasseh. He took brought them to Halah, Habor, Hara, and to the river of Gozan, where they remain to this day.


Currently it works by entering the name after www.facebook.com/[use this name] and once you have entered it once they will save them in a database I set up. Apologies for some style issues.
Try the following and see:
| Team Name | # of likes | URL |
|---|---|---|
| {{team.name}} | {{team.likes}} | {{team.url}} |


The wrapper generator ConvertToND is used to reuse two-dimensional generators which emitted IPoint objects. This wrapper takes IPoint objects and returns IMultiPoint objects.


Article Tags
All tags described here must be used into the <ion:articles /> iterator tag or in an article view.
articles
Iterator tags for articles.
Attributes
| Attribute | Optional | Values |
|---|---|---|
| type | yes |
Type name. Only returns articles from the given type. Important : type="" will return the articles which doesn't have a type. |
| num | yes |
Number of article to return. Not compatible with use of pagination. |
| order_by | yes |
"SQL order by" clause Example : 'date DESC' will order the articles by date descending |
| pagination | yes |
true / false Use of pagination. If pagination tag is used to show the pagination links, this attribute must be set to use pagination in this set of articles. |
| scope | yes |
global / parent The global scope will return articles from all website. Parent scope will return articles from current parent page (all child pages articles). |
| filter | yes |
Logical filtering of the articles on their base data. Base data are : title, type, author |
| from | yes |
One or more page URL, separated by coma. Returns all articles from the given pages URLs. |
article
Container for one article.
This tag is commonly used to use a specific the article view as partial to display the article content (See example above)
If you only wish to display a list of articles within your page view, it is not mandatory to use this tag.
id_article
Returns the article internal ID.
Can be very useful to name some HTML elements (like an image gallery) if multiple occurrences or this element are displayed on the same page.
<ion:id_article />
title, subtitle
See : Shared Tags
view
Returns the view used by the article, relative to the /themes/your_theme/views/ folder or nothing if no view is linked to the article.
 <ion:view />
author
Returns the article author's name.
 <ion:author />
author_email
Returns the article author's email.
 <ion:author_email />
date
Element date, based on defined Ionize date.
If no publication date is defined in Ionize, this tag will return the creation date of the element.
If the format attribute is not set, returns the date with the format : Y-m-d H:i:s .
Example of standard return : 2010-03-29 20:14:55
If one of the following format is used, the corresponding translation will be searched in the /themes/your_theme/language/xxx/date_lang.php file :
- D : Name of the day, on 3 chars.
- l : Name of the day, long.
- F : Name of the month, long
- M : Name of the month, on 3 chars
That means the day and month names will be displayed in the according language, as translated in each translation file.
 <ion:date format="D" />
| Attribute | Optional | Values |
|---|---|---|
| format | yes |
PHP output format If set, returns the date using this format string. |
tag | yes | Puts the results into the given tag |
| id | yes | Adds the HTML id attributes to the produced tag. |
| class | yes | Adds the HTML class attributes to the produced tag. |
content
Returns the current article text content.
 <ion:content paragraph="1" tag="span" />
| Attribute | Optional | Values |
|---|---|---|
| paragraph | yes | Limit the content to the defined number of paragraph. | tag | yes | Puts the results into the given tag |
| id | yes | Adds the HTML id attributes to the produced tag. |
| class | yes | Adds the HTML class attributes to the produced tag. |
url
Returns :
- The absolute URL to the article or
- The link set through Ionize if this article is a link to something else (a page, an article, an external URL)

<a href="<ion:url />"><ion:title />

If more than one language are defined and set to “online” in Ionize, the returned URL will automatically include the current language code.
In edition mode : If you're connected to Ionize as an editor, the URL will include the language code if more than one languages are set. The offline languages code are also included.
categories
Returns the articles categories list, with or without link to the category filtering.
readmore
Return the link to the article or to the link to which links the article (page, external URL).
<ion:readmore term="static_translated_term" tag="p" id="my_id" class="my_class" />


operators package¶
Submodules¶
operators.auxiliary_functions module¶
operators.generational_functions module¶
operators.genetic_operators module¶
-
operators.genetic_operators.
calc_insertion_reduce_idle
(p1, v, r, candidate, i, limit_low, limit_up, idle_slot, duration, setup_time, setup_cost, demand)[source]¶
-
operators.genetic_operators.
crossover_bcrc
(vehicle_candidates, p1, p2, quality, duration, setup_time, demand, setup_cost)[source]¶ Best cost route crossover.
Parameters: - depot (int) – depot id
- depot_vehicles (dict) – key= depot ids, value= list of vehicles
- p1 (Chromosome) – first parent
- p2 (Chromosome) – second parent
- quality (np.matrix) – quality matrix for all vehicles
- duration (np.matrix) – duration matrix for all vehicles
- setup_time (np.matrix) – setup time matrix for all vehicles
- demand (np.matrix) – demand matrix for all vehicles
- setup_cost (np.matrix) – setup cost matrix for all vehicles
Returns: two generated offsprings
Return type: Chromosome list
-
operators.genetic_operators.
get_swap_candidates
(p1, d1, v1, n1, borderline_customers, candidate_depots, depot_vehicles, demand)[source]¶ Get candidate nodes for inter route swap with the node1 currently assigned to the vehicle v1 from the depot d1.
Parameters: - p1 (Chromosome) – parent chromosome
- d1 (int) – depot id
- v1 (int) – vehicle id
- node1 (int) – node1 id
- borderline_customers (int list) – candidate nodes for swap
- candidate_depots (dict) – key= node id, value= a list of possible depots
- depot_vehicles (dict) – key= depot id, value= a list of vehicles at the depot
- demand (np.matrix) – demand matrix for all vehicles
Returns: [description]
Return type: two lists
-
operators.genetic_operators.
mutation_inter_depot_swapping
(p1, depot_vehicles, borderline_customers, candidate_depots, quality, duration, setup_time, demand, setup_cost)[source]¶
-
operators.genetic_operators.
mutation_intra_depot_reversal
(p1, vehicle, duration, setup_time, setup_cost)[source]¶ Intra depot reversal mutation. Two cutpoints are selected in the chromosome associated with the depot, and the genetic material between these two cutpoints is reversed.
Parameters: - p1 (Chromosome) – parent chromosome
- vehicle (int) – vehicle id
- duration (np.matrix) – duration matrix for all vehicles
- setup_time (np.matrix) – setup time matrix for all vehicles
- setup_cost (np.matrix) – setup cost matrix for all vehicles
Returns: generated offspring
Return type:
-
operators.genetic_operators.
mutation_intra_depot_swapping
(p1, depot, depot_vehicles, quality, duration, setup_time, demand, setup_cost)[source]¶ This simple mutation operator selects two random routes and swaps one randomly chosen customer from one route to another.
Parameters: - p1 (Chromosome) – parent chromosome
- depot (int) – depot id
- depot_vehicles (int list) – a list of vehicles at the depot
- quality (np.matrix) – quality matrix for all vehicles
- duration (np.matrix) – duration matrix for all vehicles
- setup_time (np.matrix) – setup time matrix for all vehicles
- demand (np.matrix) – demand matrix for all vehicles
- setup_cost (np.matrix) – setup cost matrix for all vehicles
Returns: generated offspring
Return type:
-
operators.genetic_operators.
mutation_single_customer_rerouting
(vehicle, p1, quality, duration, setup_time, setup_cost, demand)[source]¶ Re-routing involves randomly selecting one customer, and removing that customer from the existing route. The customer is then inserted in the best feasible insertion location within the entire chromosome. Input:
depot – depot to which operator is applied p1 – parent chromosome
-
operators.genetic_operators.
one_move
(p1, quality, duration, setup_time, demand, setup_cost)[source]¶
-
operators.genetic_operators.
one_move_reduce_idle
(mdvrp, p1, quality, duration, setup_time, setup_cost, demand)[source]¶
-
operators.genetic_operators.
reverse_nodes
(p, vehicle, cut1, cut2, duration, setup_time, setup_cost)[source]¶ Reverse nodes between two setpoints.
Parameters: - p (Chromosome) – parent
- vehicle (int) – vehicle id
- cut1 (int) – first cut index (enters reversion)
- cut2 (int) – second cut index (excluded for the reversion)
- duration (np.matrix) – duration matrix for all vehicles
- setup_time (np.matrix) – setup time matrix for all vehicles
- setup_cost (np.matrix) – setup cost matrix for all vehicles
Returns: generated offspring
Return type:
-
operators.genetic_operators.
swap_nodes
(p, v1, r1, n1_index, v2, r2, n2_index, quality, duration, setup_time, demand, setup_cost)[source]¶ Swap two nodes.
Parameters: - p (Chromosome) – parent chromosome
- v1 (int) – first vehicle id
- r1 (int) – first route index
- n1_index (int) – first node index
- v2 (int) – second vehicle id
- r2 (int) – second route index
- n2_index (int) – second node index
- quality (np.matrix) – quality matrix for all vehicles
- duration (np.matrix) – duration matrix for all vehicles
- setup_time (np.matrix) – setup time matrix for all vehicles
- demand (np.matrix) – demand matrix for all vehicles
- setup_cost (np.matrix) – setup cost matrix for all vehicles
Returns: generated offspring
Return type:


China's Xi says wants to work out 'phase one' trade deal with US
BEIJING: China wants to work out an initial trade agreement with the United States and has been trying to avoid a trade war, but it is not afraid to retaliate when necessary, President Xi Jinping said on Friday (Nov 22).
"We want to work for a 'phase one' agreement on the basis of mutual respect and equality," Xi told representatives of an international forum, according to a pool report.
"When necessary we will fight back, but we have been working actively to try not to have a trade war. We did not initiate this trade war and this is not something we want."
READ: US-China 'phase one' trade deal may not be inked this year
Xi was at the Great Hall of the People responding to questions from representatives of the New Economy Forum organized by Bloomberg LP in Beijing.


An open source platform for validation and process control. Tools to analyze data from internal validation of forensic short tandem repeat (STR) kits are provided. The tools are developed to provide the necessary data to conform with guidelines for internal validation issued by the European Network of Forensic Science Institutes (ENFSI) DNA Working Group, and the Scientific Working Group on DNA Analysis Methods (SWGDAM). A front-end graphical user interface is provided. More information about each function can be found in the respective help documentation.
| Version: | 2.1.0 |
| Depends: | R (≥ 3.1.3) |
| Imports: | ggplot2 (≥ 2.0.0), gWidgets2, gridExtra, grid, gtable, plyr, scales, gWidgets2RGtk2, RGtk2, data.table, grDevices, graphics, stats, utils, MASS |
| Suggests: | ResourceSelection, testthat |
| Published: | 2018-08-25 |
| Author: | Oskar Hansson |
| Maintainer: | Oskar Hansson <oskhan at ous-hf.no> |
| BugReports: | https://github.com/OskarHansson/strvalidator/issues |
| License: | GPL-2 |
| URL: | https://sites.google.com/site/forensicapps/strvalidator |
| NeedsCompilation: | no |
| Citation: | strvalidator citation info |
| Materials: | README NEWS |
| CRAN checks: | strvalidator results |
| Reference manual: | strvalidator.pdf |
| Package source: | strvalidator_2.1.0.tar.gz |
| Windows binaries: | r-devel: strvalidator_2.1.0.zip, r-release: strvalidator_2.1.0.zip, r-oldrel: strvalidator_2.1.0.zip |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | strvalidator archive |
| Reverse depends: | pcrsim |
Please use the canonical form https://CRAN.R-project.org/package=strvalidator to link to this page.


Install 'Vulcan', open Chrome Dev-Tools to watch generating and updating Indexes and Views. IndexView uses Firebase's 'Dinosaur' and the own 'DinoMeals' DB. For first use 'Rebuild' to generate an Index from external 'Dinosaur' DB. Start 'Indexing' and click 'Meal+' to add some Meals to Firebase. Any Change in your Data automatically updates your Index and View. You can also 'Delete' or 'Rebuild' your Index if necessary. Choose any Index from the Selectbox and search wildcard '*'. Check 'Display View' to show views stored with your index otherwise you get the origin stored JSON-document. Your Query results in an array of objects holding the 'key' of your indexed document and a 'value' which holds the index view or the document itself. IMPORTANT NOTE: Edit Data ONLY in your Data-Reference, IndexView will automatically update your Index and View. Records in Index-Reference MUST NOT be edited, they will be overwritten.


Your Journey is our priority
“What is that feeling when you're driving away from people and they recede on the plain till you see their specks dispersing? - it's the too-huge world vaulting us, and it's good-bye. But we lean forward to the next crazy venture beneath the skies.” ― Jack Kerouac, On the Road
Experience Paragliding
If you are planning vacations this summer then harry up closer time is June to mid-October, rain is an obstacle. Favourable time is from January to May and October to December 9:00 am to 5:00 pm. Actives Cost varies from 600 to 1800 INR per person. Location: Fozal hamlet, Himachal Pradesh. Highlights: Gliding through the deep valley to the adventurous skies of Manali. Other than paragliding, one can do zorbing in Solang Valleys. Thrill seeker will fall in love with this ball activity. A sunny day can be bliss for a couple or family to take snaps and to show off.
2700/-
Rafting
Among the numerous things to do in Manali is river rafting, an adventure sport that takes you down the cascading flow of water and scenic views on both sides. Manali is a hot spot destination for tourists who come to explore the nature’s best side along with thrilling adventure activities. The river Beas is a remarkable sight when it flows gracefully along the stone cut pathways and just like Rishikesh, you can experience a thrilling sports adventure while you are here while rafting among the wild and racing waters. River rafting camps can be found along the way, where you can rest and meet with other people.
1813/-
Head to Rohtang Pass
Snowstorm and blizzards are dangers so keep in while heading towards Rohtang. Also, Rohtang pass is available online by the government but there is a limit. This is one of the most spectacular destinations in Manali with spice. This ground of corpses is at high altitude of 14000 ft. On Tuesday, Rohtang is closed. Rents for suits, guides, vehicles vary as per once requirement. Location: Rohtang La, 51 km from Manali, Himachal Pradesh. Highlights: Rohtang Pass from Manali Includes Nehru Kund, Gulaba Visit, Marhi Pie stop, Kothi; Beas river, landscape with many picturesque views.
670/-
Enjoy the Nightlife of Old Manali
The hamlet town of old Manali is just beyond the main town and this is the perfect place to unpack for low budget travellers. This quaint little place is popular for some rustic attractions and leisure options. You can chill out on the riverside in cafes and restaurants which serve delectable variety of food, set in a homespun atmosphere with live music and entertainment. Old Manali is situated in a different setting than the main town, which is why you will find it ethereally different in experience.
varies
Go for Trekking at Bhrigu Lake
This beautiful lake is surrounded by the majestic Himalayas on all the sides. A lot of people also come here for trekking in the region in midst of the Himalayas. At such a scintillating height, Bhrigu lake makes the perfect place for trekking. Location: It is located in Manali and is quite close to some of the other tourist spots in the place. However, the high altitude is something which takes a lot of time to cover. Highlights: Most people visit the place due to the history it has. It is believed that Rishi Bhrigu wrote the famous Bhrigu Samhita on this site. It was also said that he used to meditate on this same site. There is a Nehru kund nearby through which a spring originates from the lake which tourists love. Best time to visit: You must only visit the place during daytime which will take you around 1-2 hours.
770/-
the whispering inn
Situated in Manāli, 3 km from Hidimba Devi Temple, The Whispering Inn By Vivaan features accommodation with a restaurant, free private parking, a bar and a garden
3500/-
Continue Reading
hotel hadimba way
Situated in Manāli, less than 1 km from Hidimba Devi Temple, Hotel Hadimba Way features accommodation with a restaurant, free private parking and a garden.
3450/-
Continue Reading
highQ manali
Set in Manāli, 6 km from Hidimba Devi Temple, HighQ Manali offers accommodation with a restaurant, free private parking, a shared lounge and a garden.
3440/-
Continue Reading
peak and snow cottage
Situated 5 km from Hidimba Devi Temple in Manāli, Peak And Snow Cottage features a restaurant and free WiFi throughout the property.
3130/-
Continue Reading
Skiing in Manali Solang Nallah
- Solang Nallah is where this skiing tour takes place. With a lot of stress laid on providing a safe and sound environment for you to learn and practice your skills of skiing in this snowy paradise. - The adventure of Manali Skiing starts with your arrival at Solang Valley, where you will be spending time under the eye of trained experts and instructors who will introduce you to all the equipment needed in this experience, including the techniques to use them conveniently.
370/-


{% extends 'main/layout.html' %} {% block title %}{{ city }}{% endblock %} {% block content %} Events in {{ city }} {% regroup events_list by date as events_by_date %} {% for date in events_by_date %} {{ date.grouper|date:"l, N j, Y" }} {% for event in date.list %} {{ event.group.name }} > {{ event.title }} {{ event.time|time:"H:i" }} {% if event.venue or event.address or event.maps_url %} | {% if event.venue and event.address and event.maps_url %} {{ event.venue }} - {{ event.address }} {% elif event.venue and event.address %} {{ event.venue }} - {{ event.address }} {% elif event.venue and event.maps_url %} {{ event.venue }} {% elif event.address and event.maps_url %} {{ event.address }} {% elif event.venue %} {{ event.venue }} {% elif event.address %} {{ event.address }} {% elif event.maps_url %} Maps {% endif %} {% endif %} | {{ event.attendees_count }} attendee{{ event.attendees_count|pluralize }} {% endfor %} {% empty %} There are currently no events happening. {% endfor %} Groups in {{ city }} {% for group in groups_list %} {{ group.name }} {% empty %} There are no groups in this town. {% endfor %} {% endblock %}
There are currently no events happening.
There are no groups in this town.


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Recipe 4.3. Returning an Element of a List If It Exists
Credit: Nestor Nissen, A. Bass
Problem
You have a list
L and an index
i, and you want to get
L[i] when i is a valid
index into L; otherwise, you want to get a
default value v. If
L were a dictionary,
you'd use L.get(i, v), but lists
don't have a get
method.
Solution
Clearly, we need to code a function, and, in this case, the simplest
and most direct approach is the best one:
def list_get(L, i, v=None):
if -len(L) <= i < len(L): return L[i]
else: return v
Discussion
The function in this recipe just checks whether
i is a valid index by applying
Python's indexing rule: valid indices are negative
ones down to -len(L) inclusive, and non-negative
ones up to len(L) exclusive. If almost all calls
to list_get pass a valid index value for
i, you might prefer an alternative
approach:
def list_get_egfp(L, i, v=None):
try: return L[i]
except IndexError: return v
However, unless a vast majority of the calls pass a valid index, this
alternative (as some time-measurements show) can be up to four times
slower than the list_get function shown in the
solution. Therefore, this "easier to get forgiveness
than permission" (EGFP) approach, although it is
often preferable in Python, cannot be recommended for this specific
case.
I've also tried quite a few fancy, intricate and
obscure approaches, but, besides being hard to explain and to
understand, they all end up slower than the plain, simple function
list_get. General principle: when you write Python
code, prefer clarity and readability to compactness and
tersenesschoose simplicity over subtlety. You often will be
rewarded with code that runs faster, and invariably, you will end up
with code that is less prone to bugs and is easier to maintain, which
is far more important than minor speed differences in 99.9% of the
cases you encounter in the real world.
See Also
Language Reference and Python in a
Nutshell documentation on list indexing.
|


The Insufficient Memory fault is set as soon as the radio box is checked. To see how Excel does when it runs out of memory, navigate back to Excel and try to complete any task. Excel has completely frozen up; in fact Excel canít even allocate the memory necessary to redraw the window. This is what we would expect from an application that has no more memory resources whatsoever available. However, as soon as the memory fault is lifted, Excel returns to completely normal execution.
Delete the memory fault:
Navigate back to the faults pane in Holodeck and select "No Memory Fault"
Further Exploration:
Try this tutorial using BrokenApp that has shipped with Holodeck. When the Insufficient Memory fault is set BrokenApp quickly fails. You can investigate the failure through the first chance exception it produces. For more information on first chance exceptions and debugging using this information see the Exceptions and Mini-dump section or the resource faults tutorial.


{%extends 'authorize_main/base.html'%} {%load static%} {%block content%} {%for friend in friends_names%}