Methodology¶
The methodology used in this work to characterize the coherent structures are divided in three main steps: the calculation of a local function to detect the vortex; the localization of the maxima of this function; and the adjustment (fitting) of this field to the proposed model.
Detection methods¶
In this section, the detection methods implemented in the code for vortex identification are presented. These methods are based on the velocity gradient tensor, , that can be written as (1)
(1)¶
As this is a second order tensor, it can be decomposed into a symmetric and anti-symmetric part, where:
(2)¶
(3)¶
is known as the rate-of-strain tensor (2) and is the vorticity tensor (3).
The characteristic equation for is given by (4) :
(4)¶
where P (5), Q (6) and R (7) are the three invariants of the velocity gradient tensor. Using the decomposition into symmetric and anti-symmetric parts, these invariants can be expressed as:
(5)¶
(6)¶
(7)¶
Q criterion¶
The Q criterion proposed by Hunt et al (1988) [HUNT1988] identifies the vortices as flow regions with positive second invariant of $bar{D}$. An additional condition is that the pressure in the eddy region should to be lower than the ambient pressure. Chakraborty et al (2005) [CHAKRA2005] quoted “in an incompressible flow Q is a local measure of the excess rotation rate relative to the strain rate”.
In practical terms, the vortex is detected in case of the second invariant .
criterion¶
Chong et al (1990) [CHONG1990] define a vortex core to be the region where has complex eigenvalues. In order to determine if the eigenvalues are complex, we examine the discriminant of the characteristic equation (8), considering the flow incompressible (P = 0).
(8)¶
Swirling strength criterion¶
The swirling strength criterion (9) was developed by Zhou et al (1999) [ZHOU1999]. It defines a vortex core to be the region where has complex eigenvalues. It is based on the idea that the velocity gradient tensor in Cartesian coordinates can be decomposed as:
(9)¶
where is the real eigenvalue, related to the eigenvector , and the complex conjugate pair of complex eigenvalues is , related to the eigenvectors . The strength of this swirling motion can be quantified by , called the local swirling strength of the vortex. The threshold for is not well-defined, but theoretically any value greater than zero should be considered a vortex. Experimental results [ZHOU1999] shows that give smoother results.
Localization of the extrema¶
To have smooth results on the swirling strength, we apply a normalization of the field (10). The swirling strength is divided by the wall-normal profile of its RMS value:
(10)¶
Then the local maxima of the detection can be identified. The normalization is not required for the HIT cases, it is only used when we have an non-homogeneous direction.
In Fig. 1 we see the original swirling strength field, where 104 vortices were found, mostly near the wall, where the boundary layer plays an important role in increasing the swirling strengtht. The yellow circles corresponds to the vortices rotating clockwise and the green circles for the counter-clockwise rotation.
In figure Fig. 2 we show the fluctuation of the swirling strength field, by applying the Reynolds decomposition, now with 202 vortices found, minimizing the wall influence over the detection.
We can play with the distance between one detected vortex and another, by increasing the box size of the peak detection. In Fig. 3 we set the box size to 12, instead of box size 6 used in Fig. 1 and Fig. 2. With this setting we reduce the detected vortices to 154, by removing the overlapping ones.
One interesting fact about the swirling strength (as well the other methods) is that the local maximum values does not always match the center of the vortex. We show in Fig. 4 one example of this mismatch between them.
Fitting of coherent structures¶
Using the peak of maximum swirling strength or identifying the places where the Q or criterion are higher than 0 gives us a rough estimation of a possible vortex and its center. But even using a threshold on these methods, the presence of a real vortex is not always true. To improve this detection we use a Lamb-Oseen vortex model to be fitted on top of the actual detected peak to check if it is really a vortex.
Lamb-Oseen vortex¶
The Lamb-Oseen vortex is a mathematical model for the flow velocity in the circumferential direction (), shown below. It models a line vortex that decays due to viscosity.
(11)¶
where is the radius, is the core radius of vortex, is the viscosity and is the circulation contained in the vortex.
Since the coherent structures are in movement, we add the advective velocity to the Lamb-Oseen vortex model shown below.
(12)¶
The correlation coefficient between the fitted model and the velocity field is calculated according to equation (13) and if it’s higher than a chosen threshold (typically 0.75), we can consider it a vortex.
(13)¶
Non-linear least squares¶
Levenberg Marquardt method¶
The Levenberg–Marquardt algorithm, also known as the damped least-squares method, is used to solve non-linear least squares problems. These minimization problems arise especially in least squares curve fitting.
Powell’s dogleg method¶
The Powell’s method is an algorithm for finding a local minimum of a function. This function doesn’t need to be differentiable and no derivatives are taken. It does this using a combination of Newton’s method and the steepest descent method. This is a so-called trust region method. This means that every step moves the current point to within a finite region. This makes the method more stable than Newton’s method.
Validation¶
In this section, the fitting of the Lamb-Oseen vortex model is tested under different scenarios. For the first comparison a standard Lamb-Oseen vortex is created and VortexFitting tries to estimate its parameters. Four different cases (Fig. 5, Fig. 6, Fig. 7 and Fig. 8), varying the core radius, the circulation $Gamma$ and the distance of the center of vortex to the center of window (shift), are presented.
Table 1 presents the fitting results: the guess is exact for all the cases (correlation = 1), as the data and model vectors totally overlaps themselves.
| Param/Case | A | B | C | D |
|---|---|---|---|---|
| radius | 0.2000 | 0.2000 | 0.9000 | 0.8999 |
| circulation | 10.0000 | 10.0000 | 40.0000 | 39.9999 |
| x shift | 0.0000 | 0.2000 | 0.0000 | 0.2000 |
| y shift | 0.0000 | 0.2000 | 0.0000 | 0.2000 |
| correlation | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
For the second set of tests, a random noise is added to the original vortex field, creating a perturbation to the initial flow field. The fitting provides the results in Table 2, corresponding to for cases (Fig. 9, Fig. 10, Fig. 11 and Fig. 12). We can see a better correlation for the stronger vortices (higher circulation), meaning that they are less affected by the perturbation.
| Param/Case | A | B | C | D |
|---|---|---|---|---|
| radius | 0.1917 | 0.2427 | 0.9067 | 0.9169 |
| circulation | 10.1863 | 9.9743 | 40.4885 | 40.5987 |
| x shift | 0.0035 | 0.1946 | 0.0098 | 0.1953 |
| y shift | 0.0028 | 0.1918 | 0.0085 | 0.1995 |
| correlation | 0.9406 | 0.9153 | 0.9895 | 0.9869 |
References¶
| [ZHOU1999] | (1, 2) Zhou J., Adrian R. J., Balachandar S., and Kendall T. M. Mechanisms for generating coherent packets of hairpin vortices in channel flow. J. Fluid Mech., 387:353–396, 1999. |
| [CHAKRA2005] | Chakraborty P., Balachandar S., and Adrian R. J. On the relationships between local vortex identification schemes. J. Fluid Mech., 535:189–214, 2005. |
| [CHONG1990] | Chong M. S., Perry A. E., and Cantwell B. J. A general classification of three-dimensional flow fields. Phys. Fluids, 2:765–777, 1990. |
| [HUNT1988] | Hunt, J. C. R., Wray, A. A. & Moin, P. Eddies, stream, and convergence zones in turbulent flows. Center for Turbulence Research Report, CTR-S88, 1988 |


Antony Whittam
Music
(current)
Winemaking
DSO
Droplets
Music
Some of my favourite pieces of classical music.
Title
Recording
Sheet music
Mozart Horn Concerto No. 4, in E-flat major, K.495
Youtube
IMSLP
Brahms Symphony No. 2, Op. 73
Youtube
IMSLP


Go is great for setting up easy parallel jobs and processes, however, it is not easy when one starts confusing concurrency with parallelism and ending up endlessly fighting race conditions. komi
is a generic pooling library that will satisfy your hunger.
Say you want to run a function foo(v)
that performs some kind of work on parameter v
, be it a database operation, a syscall, an IO operation, etc. (possibilities are endless!) Setting up a pool and sending jobs is as trivial as
pool := komi.New(komi.WorkSimple(foo))
defer pool.Close()
// other code...
pool.Submit(v) // will block if pool is full
Notice that pool.Close()
will gracefully free all the resources and channels occupied by pool
by waiting for final jobs to complete. pool.Close(true)
will force pool closure.
But what if you want to collect outputs of work performed on v
with foo(v) w
?
pool := komi.New(komi.Work(foo))
defer pool.Close()
// collect outputs with pool.Outputs() channel
go func() {
for output := range pool.Outputs() {
// output is the result of `foo(v)`
}
}()
// other code...
pool.Submit(v) // will block if pool is full
But what if you want to collect errors as well? Consider foo(v) error
pool := komi.New(komi.WorkSimpleWithErrors(foo))
defer pool.Close()
// collect errors with with pool.Errors() channel...
// other code...
pool.Submit(v) // will block if pool is full
Or with foo(v) (w, error)
!
pool := komi.New(komi.WorkWithErrors(foo))
defer pool.Close()
// collect outputs with pool.Outputs() channel
// collect errors with pool.Errors() channel...
// other code...
pool.Submit(v) // will block if pool is full
So, depending on what function you give, any work type is handled by the pool on the fly! If work given doesn’t produce outputs, pool.Outputs()
will return nil
, similarly, if work given doesn’t produce errors, pool.Errors()
will return nil
.
Note: if work produces outputs or errors, those activated channels need to be consumed by the user, otherwise, when reaching size
number of elements in either (if active), work will be blocked until the destination channel is consumed.
Unique feature of komi
is that each pool can be connected with each other. Say you have two functions, where one opens file’s contents, openFile(filename string) (string, error)
, and the other counts the number of words, countWords(contents string) int
.
Two pools can be created,
opener := komi.NewWithSettings(komi.WorkWithErrors(openFile), &komi.Settings{
Name: "Opener 📂 ",
Laborers: 1,
Size: 4,
})
counter := komi.NewWithSettings(komi.Work(countWords), &komi.Settings{
Name: "Counter 📚 ",
Laborers: 10,
Size: 20,
})
We can wire the outputs of opener
to be automatically fed into counter
with
opener.Connect(counter)
So now, those two pools are "connected". We would call this relationship as opener
being the dependent (child) pool and counter
being the connected (parent) pool.
Opener 📂 Counter 📚
filenames ┌─────────────┐ contents ┌──────────────┐ word counts
───────> │ openFile │ ────────> │ countWords │ ────────>
.Submit └─────────────┘ .Connect └──────────────┘ .Outputs
pool: opener pool: counter
komi
’s pools are smart enough that only by calling counter.Close()
, it will issue a shutdown command back to opener
and wait until it’s closed. This closing logic procedure will happen with any number of connected pools.
If you have pools 1,2,...,N-1,N
connected in form 1->2->...->N-1->N
, user can only call .Close()
on pool N
, as it would be responsible for sending a closure request to N-1
, and so on until 2
sends the shutdown request to 1
. When 1
is closed, the closure will resume on 2
, up until N-1
and N
, where the latter will return from the original Close()
call.
Please note that none of the pools 1,2,...,N-1
in the above will honor user’s closure request, as it should come from their connected (parent) pool.
When the parent-most pool is closing, it will wait for all the child pools to complete their jobs. This behavior can be overwritten by calling .Close(true)
, which would skip any waiting of childrens’ queued jobs and skip any waiting of the parent-most pool’s queued jobs.
Pools support waiting (blocking) until the pool has no jobs waiting for completion with pool.Wait()
.
Some other quality of life operations are also provided,
Submit(v)
will submit job v
to be performed by the pool.
Close()
will close the pool if and only if it’s disconnected or the parent-most pool.
Close(true)
will close the pool ignoring any pending jobs.
Outputs()
will return channel that the user should listen to for outputs (if work generated them).
Errors()
will return channel that the user shoud listen to for errors (if work generates them).
IsConnected()
will return true if the pool is a child of another pool, thus sending its outputs.
IsClosed()
will return true if the pool has gracefully shutdown.
JobsCompleted()
will return the number of jobs this pool has completed.
JobsWaiting()
will return the number of jobs waiting in queue and currently in-work.
JobsSucceeded()
will return the number of jobs completed with a non-nil errors.
Name()
will return the pool’s name (defaults to "Komi 🍡 "
).
You can tune the performance and behavior of the pool with komi.NewWithSetttings
by providing *komi.Settings
,
Laborers
sets the number of pool’s laborers.
Size
sets the size of the pool (how many jobs can wait until pool.Submit
is blocked).
Ratio
sets the ratio
in size = ratio * number of laborers
equation (only if size has not been manually set).
LogLevel
sets the pool’s logging level to level
.
Debug
sets the pool’s logging level to DebugLevel
.
Name
sets the pool’s name as shown in logs.
This is a brand new library I built for my static website generator, where it’s used extensively and in production. However, there are no guarantees provided for this library, that is, until something like v1.0
is out, in which case, I would promise to maintain backward compatibility.
Here is how Darkness 🥬 currently builds this website,
Reading 📚 Parsing 🧹
path ┌───────────┐ file handler ┌─────────────┐
──────> │ filesPool │ ───────────────> │ parserPool │
└───────────┘ └─────────────┘
log errors │
│ parsed files
│ aka yunyun pages
│
file ┌────────────┐ exported data ┌──────────────┐
<───── │ writerPool │ <────────────── │ exporterPool │
└────────────┘ └──────────────┘
Writing 🎸 Exporting 🥂
Please use it with knowing your risks. However, if you use a tagged version or a commit hash in your go.mod
, you should be fine.
Some future items in mind:
Adding an error handler to komi
polls, which if given, will be invoked if non-nil errors are returned by work.
More tests
Please go to komi
’s github page for more details and the code!


Welcome to our NHL Statistics Website
Here you will find information on each team, player, and their standings.


Full-stack Developer | Theoretical Physicist | Data Scientist | Traveller | Muay Thai Enthusiast | Party Animal
Find Out MoreHaving worked in top tutoring agencies in Hong Kong including the legendary Arch Education, my students are from pretige international and boarding schools. With my help, most of them were able to be admitted to Ivy League and Oxbridge.
After years of teaching, I've accumulated a large database of past exam papers, exercises and categorised questions, which will give my students the most efficient drilling experience!
I have a bachelor, major in physics, minor in chemistry, and my PhD is in theoretical chemistry. During my candidature, I worked as teaching assistant for 5 courses at the University of Hong Kong.
Teaching with passion, encouragement, and sense of humour has always been my rule #1. I love to use pop culture example to explain the abstract math and physics problems, to help students understand better.
Email, call, or Whatsapp me to talk about your project and get a quotation.
123-456-6789


%@LANGUAGE="VBSCRIPT" CODEPAGE="65001"%>
IPAGE New Zealand has gained reputation from its professional and cost-effective services.


Shanghai is the most populated city in the world with 24 million inhabitants, followed by Beijing with 21 million. In third place is the city of Delhi with 16 million people.


|
Bullet Collision Detection & Physics Library
|
#include "BulletCollision/CollisionDispatch/btActivatingCollisionAlgorithm.h"
#include "BulletCollision/NarrowPhaseCollision/btGjkPairDetector.h"
#include "BulletCollision/NarrowPhaseCollision/btPersistentManifold.h"
#include "BulletCollision/BroadphaseCollision/btBroadphaseProxy.h"
#include "BulletCollision/NarrowPhaseCollision/btVoronoiSimplexSolver.h"
#include "BulletCollision/CollisionDispatch/btCollisionCreateFunc.h"
#include "BulletCollision/CollisionDispatch/btCollisionDispatcher.h"
#include "LinearMath/btTransformUtil.h"
Go to the source code of this file.
Classes | |
| class | btConvex2dConvex2dAlgorithm |
| The convex2dConvex2dAlgorithm collision algorithm support 2d collision detection for btConvex2dShape Currently it requires the btMinkowskiPenetrationDepthSolver, it has support for 2d penetration depth computation. More... | |
| struct | btConvex2dConvex2dAlgorithm::CreateFunc |


For a given date_part, this function returns the rounded date of the input date to the input time interval, following a standard Gregorian calendar.
Syntax
GetRoundDate ( date, date_part )
| Parameter | Description |
|---|---|
date |
A number representing the input date between January 1, 1970 and Dec 31, 2037. The number is the number of seconds elapsed since midnight, January 1, 1970. To retrieve this number, use any of the following functions: Today(), TodateEx(), GetFirstDate(), GetLastDate(), DateRoll(). Date-Time type attribute properties of a member can also be used to retrieve this number. For example: Product.currentmember.[Intro Date] returns the Introduction or release date for the current product in context. [Cola].[Intro Date] returns the Introduction or release date for the “Cola” product. |
date_part |
Defined time components of the standard calendar.
|
Example
Assuming today’s date is April 15 2007, consider the following scenarios.
GetRoundDate(Today(), DP_YEAR)
returns the rounded date to the year, Jan 1 2007
GetRoundDate(Today(), DP_QUARTER)
returns the rounded date to the quarter, Apr 1 2007
GetRoundDate(Today(), DP_MONTH)
returns the rounded date to the month, Apr 1 2007
GetRoundDate(Today(), DP_WEEK)
returns the rounded date to the week, Apr 15 2007
See Also


Modify tail(s) of distribution defined by certain cutoff level using method of choice. This function is useful for doing robust analysis in presence of possible outliers.
form_tails(f, level, method = "trim", direction = "both")
| f | A pdqr-function. |
|---|---|
| level | Cutoff level. For direction "both" should be between 0 and 0.5; for "left" and "right" - between 0 and 1. |
| method | Modification method. One of "trim" or "winsor". |
| direction | Information about which tail(s) to modify. One of "both", "left", "right". |
A pdqr-function with transformed tail(s).
Edges for left and right tails are computed as level
and 1 - level
quantiles respectively. The left tail is interval to the left of
left edge, and right tail - to the right of right edge.
Method "trim" removes tail(s) while normalizing "center part". Method
"winsor" "squashes" tails inside center of distribution in dirac-like
fashion, i.e. probability of tail(s) is moved inside and becomes concentrated
in 1e-8
neighborhood of nearest edge.
Direction "both" affect both tails. Directions "left" and "right" affect only left and right tail respectively.
form_resupport()
for changing support to some
known interval.
summ_center()
and summ_spread()
for computing summaries of distributions.
Other form functions:
form_estimate()
,
form_mix()
,
form_regrid()
,
form_resupport()
,
form_retype()
,
form_smooth()
,
form_trans()
# Type "discrete"
my_dis <- new_d(data.frame(x = 1:4, prob = (1:4) / 10), type = "discrete")
meta_x_tbl(form_tails(my_dis, level = 0.1))
#> x prob cumprob
#> 1 2 0.250 0.250
#> 2 3 0.375 0.625
#> 3 4 0.375 1.000#> x prob cumprob
#> 1 3 0.6 0.6
#> 2 4 0.4 1.0
# Use `form_resupport()` and `as_q()` to remove different levels from both
# directions. Here 0.1 level tail from left is removed, and 0.05 level from
# right
new_supp <- as_q(d_norm)(c(0.1, 1 - 0.05))
form_resupport(d_norm, support = new_supp)
#> Density function of continuous type
#> Support: ~[-1.28155, 1.64485] (9236 intervals)
# Examples of robust mean
set.seed(101)
x <- rcauchy(1000)
d_x <- new_d(x, "continuous")
summ_mean(d_x)
#> [1] 0.6504152#> [1] 0.1094364#> [1] 0.1563657


{{.ServerName}}
{{with .CommandLine}}
CommandLine
{{.}}
Trace
{{.}}
{{/* Copyright 2016 The Vanadium Authors. All rights reserved. Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. */}}
{{.}}


A couple friends and I have been making our own Opium, and basically I have enough to expiriment with, so I've tried a couple different things, these two being my favorite so far (besides just smoking a bowl):
1) This is what I like to call a Jager-O shot. What I do is take about half a shot of Jagermeister and put it in the microwave for about 5-10 seconds (I keep my Jager in the freezer. If it's warm, I wouldn't worry about heating it). Next I take about a pinky-sized ball and drop it in the shot and smear it around with my finger until it is completely dissolved, then top off the shot with more Jager. Keep in mind that others will want to adjust their dose. I have an unusually high Morphine and Codeine tolerance, so my dose may make others sick. If in doubt, use just a bit less than you would for a normal tea dose because the alcohol seems to carry it through my system alot faster (half hour to feel noticably strong effects). If there is a tea from poppy straw (pods) then the the tea can simply be heated to drive off the water until there is about a shot-worth of concentrate and it can be mixed with a shot of ZJager.
I find Jager kills the tase almost completely, and since I absolutly love black licorice this is the best method for me. I'd try it with Mescal if I could handle the taste, since Mescal and Tequilla are made from a hallucinigenic liquid... who knows, it may be just enough to alter the high to something new :-)
2) This is the paper smear method. All I do is take about a half a smoking dose and use a drip of water and smear it around in a piece of foil or clean countertop until it is liquified, then smear it on the inside of a rollong paper. I love this method, especially if I am going to roll a joint with it. I also use this method for rolling a tobacco cigarette so I can go sit outside in my lawnchair and watch the sunset without fear of a neighbor calling the cops on me.  Makes an already well tasting cognac dipped leaf taste even sweeter! Just make sure you warn anyone you are sharing with that it is opium laced... remember that some people are allergic to codeine and morphine.
One note on smearing: I have done the smear method on the outside of a cigarette a couple times. Since it's on the outside you lose more smoke than you will inhale, so it must be smeared on the inside of the paper! Be kind... don't waste your stash.
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.


Coal India Q2 net profit up 14% to Rs 3,522 crore
by PTINEW DELHI: State-run Coal India on Monday reported a 14 per cent rise in consolidated net profit at Rs 3,522.7 crore for the quarter ended September.
The company's net profit stood at Rs 3,084.54 crore in the year-ago period, it said in a regulatory filing.
Its total income, however, declined to Rs 22,012.94 crore in the July-September quarter of financial year 2019-20 from Rs 23,486.35 crore in the corresponding period of previous fiscal.
Despite the fall in total income, Coal India's net profit increased as its tax outgo declined significantly to Rs 754.25 crore from Rs 2,031.71 crore in the year-ago quarter.


This example just show using dropzone in table list. (support modern browsers)
So, don't include submit button despite of using batch transfer.
Remove
Add files
Drop files here.


Class TSChannelWSocket
Unit
SChannel.IcsWSocket
Declaration
type TSChannelWSocket = class(TWSocket)
Description
ICS TWSocket descendant supporting TLS
Hierarchy
- TWSocket
- TSChannelWSocket
Overview
Methods
Properties
Description
Methods
|
constructor Create(AOwner : TComponent); override; |
|
|
|
destructor Destroy; override; |
|
|
|
procedure Listen; override; |
|
Override for inherited method - deny listening in secure mode
|
|
procedure Shutdown(How : Integer); override; |
|
Override for inherited method - shutdown TLS channel before closing the connection (ignoring exceptions and don't waiting for peer response)
|
|
procedure PostFD_EVENT(Event: Cardinal); |
|
Imitate FD_* event on a socket. Mostly useful with FD_READ to have DataAvailable with buffering socket implementations
|
Properties
|
property Secure: Boolean read FSecure write SetSecure; |
|
Indicates whether TLS is currently used. Effect of setting the property depends on current state. Socket is not connected:
Socket is connected:
|
|
property PayloadReadCount: Int64 read FPayloadReadCount; |
|
Traffic counter for incoming payload. TWSocket.ReadCount property reflects encrypted traffic
|
|
property PayloadWriteCount: Int64 read FPayloadWriteCount; |
|
Traffic counter for outgoing payload. TWSocket.WriteCount property reflects encrypted traffic
|
|
property SessionData: TSessionData read FSessionData write SetSessionData; |
|
TLS Session data that allows fine tuning of TLS handshake. Also it could contain shared credentials used by multiple sockets. Fields must be assigned before starting TLS handshake (otherwise exception is raised). Note that some fields are assigned internally based on other values (f.ex., sfNoServerVerify flag is enabled if connecting to IP). Initial values are returned when secure connection is finished. ! Session data is finalized in destructor, closing and zeroing any non-shared handles.
|
|
property OnTLSDone: TNotifyEvent read FOnTLSDone write FOnTLSDone; |
|
Event is called when TLS handshake is established successfully
|
|
property OnTLSShutdown: TNotifyEvent read FOnTLSShutdown write FOnTLSShutdown; |
|
Event is called when TLS handshake is shut down
|
Generated by PasDoc 0.16.0.


The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data.
Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. The URIs identify any kind of object or concept. But for HTML or RDF, the same expectations apply to make the web grow:
Use URIs as names for things
Use HTTP URIs so that people can look up those names.
When someone looks up a URI, provide useful information, using the standards (RDF*, SPARQL)
Include links to other URIs. so that they can discover more things.
Simple. In fact, though, a surprising amount of data isn't linked in 2006, because of problems with one or more of the steps. This article discusses solutions to these problems, details of implementation, and factors affecting choices about how you publish your data.
I'll refer to the steps above as rules, but they are expectations of behavior. Breaking them does not destroy anything, but misses an opportunity to make data interconnected. This in turn limits the ways it can later be reused in unexpected ways. It is the unexpected re-use of information which is the value added by the web.
The first rule, to identify things with
URIs, is pretty much understood by most
people doing semantic web technology. If it doesn't use
the universal URI set of symbols, we don't
call it Semantic Web.
The second rule, to use HTTP
URIs, is also widely understood.
The only deviation has been, since the web
started, a constant tendency for people to invent new
URI schemes (and sub-schemes within the
urn:
scheme) such as LSIDs and handles and
XRIs and DOIs and so on, for
various reasons. Typically, these involve not
wanting to commit to the established Domain Name System
(DNS) for delegation of authority but to
construct something under separate control. Sometimes
it has to do with not understanding that HTTP
URIs are names (not addresses) and that
HTTP name lookup is a complex, powerful and
evolving set of standards. This issue discussed at length
elsewhere, and time does not allow us to delve into it here.
[ @@ref TAG finding, etc])
The third rule, that one should serve information on the web against a URI, is, in 2006, well followed for most ontologies, but, for some reason, not for some major datasets. One can, in general, look up the properties and classes one finds in data, and get information from the RDF, RDFS, and OWL ontologies including the relationships between the terms in the ontology.
The basic format here for RDF/XML, with its popular alternative serialization N3 (or Turtle). Large datasets provide a SPARQL query service, but the basic linked data should br provided as well.
Many research and evaluation projects in the few years of the Semantic Web technologies produced ontologies, and significant data stores, but the data, if available at all, is buried in a zip archive somewhere, rather than being accessible on the web as linked data. The Biopax project, the CSAktive data on computer science research people and projects were two examples. [The CSAktive data is now (2007) available as linked data]
There is also a large and increasing amount of URIs of non-ontology data which can be looked up. Semantic wikis are one example. The "Friend of a friend" (FOAF) and Description of a Project (DOAP) ontologies are used to build social networks across the web. Typical social network portals do not provide links to other sites, nor expose their data in a standard form.
LiveJournal and Opera Community are two portal web sites which do in fact publish their data in RDF on the web. (Plaxo has a trail scheme, and I'm not sure whether they support knows links). This means that I can write in my FOAF file that I know Håkon Lie by using his URI in the Opera Community data, and a person or machine browsing that data can then follow that link and find all his friends. [Update:] Also, the Opera Community site allows you to register the RDF URI for yourelf on another site. This means that public data about you from different sites can be linked together into one web, and a person or machine starting with your Opera identity can find the others.
The fourth rule, to make links elsewhere, is necessary to connect the data we have into a web, a serious, unbounded web in which one can find al kinds of things, just as on the hypertext web we have managed to build.
In hypertext web sites it is considered generally rather bad etiquette not to link to related external material. The value of your own information is very much a function of what it links to, as well as the inherent value of the information within the web page. So it is also in the Semantic Web.
So let's look at the ways of linking data, starting with the simplest way of making a link.
The simplest way to make linked data is to use, in one file, a URI which points into another.
When you write an RDF file, say <http://example.org/smith>, then you can use local identifiers within the file, say #albert, #brian and #carol. In N3 you might say
<#albert> fam:child <#brian>, <#carol>.
or in RDF/XML
<rdf:Description about="#albert"
<fam:child rdf:Resource="#brian">
<fam:child rdf:Resource="#carol">
</rdf:Description>
The WWW architecture now gives a global identifier "http://example.org/smith#albert" to Albert. This is a valuable thing to do, as anyone on the planet can now use that global identifier to refer to Albert and give more information.
For example, in the document <http://example.org/jones> someone might write:
<#denise> fam:child <#edwin>, <smith#carol>.
or in RDF/XML
<rdf:Description about="#denise"
<fam:child rdf:Resource="#edwin">
<fam:child rdf:Resource="http://example.org/smith#carol">
</rdf:Description>
Clearly it is reasonable for anyone who comes across the
identifier 'http://example.org/smith#carol" to:
We call this dereferencing the URI. This is basic semantic web.
There are several variations.
There are some circumstances in which dividing identifiers into documents doesn't work very well. There may logically be one global symbol per document per document, and there is a reluctance to include a # in the URI such as
http://wordnet.example.net/antidisesablishmentarianism#word
Historically, the early Dublin Core and FOAF vocabularies did not have # in their URIs. In any event when HTTP URIs without hashes are used for abstract concepts, and there is a document that carries information about them, then:This method has the advantage that URIs can be made up of all forms. It has the disadvantage that an HTTP request mBrowse-ableust be made for every single one. In the case of Dublin Core, for example, dc:title and dc:creator etc are in fact served by the same ontology document, but one does not know until they have each been fetched and returned HTTP redirections.
The Friend-Of-A-Friend convention uses a form of data link, but not using either of the two forms mentioned above. To refer to another person in a FOAF file, the convention was to give two properties, one pointing to the document they are described in, and the other for identifying them within that document.
<#i> foaf:knows [
foaf:mbox<EMAIL_ADDRESS>rdfs:seeAlso <http://example.com/foaf/joe> ].
Read, "I know that which has email<EMAIL_ADDRESS>and about which more information is in <http://example.com/foafjoe>".
In fact, for privacy, often people don't put their email addresses on the web directly, but in fact put a one-way hash (SHA-1) of their email address and give that. This clever trick allows people who know their email address already to work out that it is the same person, without giving the email away to others.
<#i> foaf:knows [
foaf:mbox_sha1sum "2738167846123764823647"; # @@ dummy
rdfs:seeAslo <http://example.com/foaf/joe> ].
This linking system was very successful, forming a growing social network, and dominating, in 2006, the linked data available on the web.
However, the system has the snag that it does not give URIs to people, and so basic links to them cannot be made.
I recommend (e.g in weblogs on Links on the Semantic Web , Give yourself a URI, and and Backward and Forward links in RDF just as important) that those making a FOAF file give themselves a URI as well as using the FOAF convention. Similarly, when you refer to a FOAF file which gives a URI to a person, use it in your reference to that person, so that clients which just use URIs and don't know about the FOAF convention can follow the link.
One important pattern is a set of data which you can explore as you go link by link by fetching data. Whenever one looks up the URI for a node in the RDF graph, the server returns information about the arcs out of that node, and the arcs in. In other words, it returns any RDF statements in which the term appears as either subject or object.
Formally, call a graph G browsable if, for the URI of any node in G, if I look up that URI I will be returned information which describes the node, where describing a node means:
(The subgraph returned has been referred to as "minimum Spanning Graph (MSG [@@ref] ) or RDF molecule [@@ref], depending on whether nodes are considered identified if they can be expressed as a path of function, or reverse inverse functional properties. A concise bounded description, which only follows links from subject to object, does not work.)
In practice, when data is stored in two documents, this means that any RDF statements which relate things in the two files must be repeated in each. So, for example, in my FOAF page I mention that I am a member of the DIG group, and that information is repeated on the DIG group data. Thus, someone starting from the concept of the group can also find out that I am a member. In fact, someone who starts off with my URI can find all the people who are in the same group.
So statements which relate things in the two documents must be repeated in each. This clearly is against the first rule of data storage: don't store the same data in two different places: you will have problems keeping it consistent. This is indeed an issue with browsable data. A set of of completely browsable data with links in both directions has to be completely consistent, and that takes coordination, especially if different authors or different programs are involved.
We can have completely browsable data, however, where it is automatically generated. The dbview server, for example, provides a browsable virtual documents containing the data from any arbitrary relational database.
When we have a data from multiple sources, then we have compromises. These are often settled by common sense, asking the question,
"If someone has the URI of that thing, what relationships to what other objects is it useful to know about?"
Sometimes, social questions determine the answer. I have links in my FOAF file that I know various people. They don't generally repeat that information in their FOAF files. Someone may say that they know me, which is an assertion which, in the FOAF convention, is theirs to assert, and the reader's to trust or not.
Other times, the number of arcs makes it impractical. A GPS track gives thousands of times at which my latitude, longitude are known. Every person loading my FOAF file can expect to get my business card information, but not all those trackpoints. It is reasonable to have a pointer from the track (or even each point) to the person whose position is represented, but not the other way.
One pattern is to have links of a certain property in a separate document. A person's homepage doesn't list all their publications, but instead puts a link to it a separate document listing them. There is an understanding that foaf:made gives a work of some sort, but foaf:pubs points to a document giving a list of works. Thus, someone searching for something foaf:made link would do well to follow a foaf:pubs link. It might be useful to formalize the notion with a statement like
foaf:made link:listDocumentProperty foaf:pubs.
in one of the ontologies.
Sometimes the sheer volume of data makes serving it as lots of files possible, but cumbersome for efficient remote queries over the dataset. In this case, it seems reasonable to provide a SPARQL query service. To make the data be effectively linked, someone who only has the URI of something must be able to find their way the SPARQL endpoint.
Here again the HTTP 303 response can be used, to refer the enquirer to a document with metadata about which query service endpoints can provide what information about which classes of URIs.
Vocabularies for doing this have not yet been standardized.Linked Data is defined above. Linked Open Data (LOD) is Linked Data which is released under an open licence, which does not impede its reuse for free. Creative Commons CC-BY is an example open licence, as is the UK's Open Government Licence. Linked Data does not of course in general have to be open -- there is a lot of important use of lnked data internally, and for personal and group-wide data. You can have 5-star Linked Data without it being open. However, if it claims to be Linked Open Data then it does have to be open, to get any star at all.
Under the star scheme, you get one (big!) star if the information has been made public at all, even if it is a photo of a scan of a fax of a table -- if it has an open licence. The you get more stars as you make it progressively more powerful, easier for people to use.
| ★ | Available on the web (whatever format) but with an open licence, to be Open Data |
| ★★ | Available as machine-readable structured data (e.g. excel instead of image scan of a table) |
| ★★★ | as (2) plus non-proprietary format (e.g. CSV instead of excel) |
| ★★★★ | All the above plus, Use open standards from W3C (RDF and SPARQL) to identify things, so that people can point at your stuff |
| ★★★★★ | All the above, plus: Link your data to other people’s data to provide context |
How well does your data do? You can buy 5 star data mugs, T-shirts and bumper stickers from the W3C shop at cafepress: use them to get your colleages and fellows conference-goers thinking 5 star linked data. (Profits also help W3C :-).
Now in 2010, people have been pressing me, for governmet data, to add a new requirement, and that is there should be metadata about the data itself, and that that metadata should be availble from a major catalog. Any open dataset (or even datasets which are not but should be open) can be regisetreed at ckan.net. Government datasets from the UK and US hsould be regisetred at data.gov.uk or data.gov respectively. Other copuntries I expect to develop their own registries. Yes, there should be metadata about your dataset. That may be the subject of a new note in this series.
Linked data is essential to actually connect the semantic web.  Various common sense considerations determine when to make a link and when not to.
The Tabulator client (running in a suitable browser) allows you to browse linked data using the above conventions, and can be used to check that your linked data works.
References
[Ding2005] Li Ding, et. al., Tracking RDF Graph Provenance using RDF Molecules, UMBC Tech Report TR-CS-05-06
2006-02 Rob Crowell adapts Dan Connolly's DBView (2004) which maps SQL data into linked RDF, adding backlinks.
2006-09-05 Chris Bizer et al adapt D2R Server to provide a linked data view of a database.
2006-10-10 Chris Bizer et al produce the Semantic Web Client Library, "Technically, the library represents the Semantic Web as a single Jena RDF graph or Jena Model." The code feteches web documents as needed to answer queries.
2007-01-15 Yves Raimond has produced a Semantic Web client for SWI prolog wit similar functionality.
I have a talk at the 2009 O'Reilly eGovernment 2.0 conference in Washington DC, talking about "Just a Bag of Chips" @@ref, and talking about the 5 star scheme. Following that, From InkDroid blogged summary (and CSS) of my 5 star sceheme adapted here


Find out when we are holding our next retreat and how you can sign up.
Located in a peaceful bungalow outside of Lake Geneva, Wisconsin.
12 private rooms with ensuite bathrooms, 2 group meeting rooms, and 4 breakout rooms.
Private chef team providing on demand meals - just like your team kitchen.
5 outdoor obstacle courses, including private beach 1/2 mile from bungalow.
Retreat facilitator to manage your day to day activities so you all get a chance to reset.
Dedicated computer room for times that you must wifi.
Lorem ipsum stand outside in a fippojhgfghlkjhgfeld. There are ,kmnten of us onlkj this team ankjnbd it. It a setting.


Migration Strategy
The vets.gov mission is to bring all veteran focused sites and services into a single unified experience. We are working collaboratively across the organization to make this migration to the platform possible. The process will begin immediately following the beta release of vets.gov in November 2015.
The vets.gov team will conduct bi-weekly "vets.gov 101" sessions starting in November 2015 to provide information to internal VA stakeholders about the Vets.gov platform and the migration process.
Please email<EMAIL_ADDRESS>be added to a session.
The overall migration will be prioritized into waves in order to take a repeatable and scalable approach that will expedite the migration process and minimize risk:
- Wave 1: content only; no PII / no PHI
- Wave 2: content and services (including forms) PII (low complexity)
- Wave 3: content and services; PII and PHI
- Wave 4: content and services: PHI (high complexity)
-
VA stakeholders will attend a bi-weekly “vets.gov 101” session. This is the first step in the migration process. During the session, the vets.gov team will provide an overview of the project and migration process, review existing tools (e.g., vets.gov Style Guide), answer any questions, and provide a migration questionnaire (link to an online form).
-
VA stakeholders fill out the online form that is submitted to the vets.gov team for review.
-
The vets.gov team will review the questionnaire and determine if it is in the scope of vets.gov. (Note: corporate content such as press releases, executive bios, press releases, reports, etc. will continue to reside on VA.gov.)
-
If a request appears out of scope, the vets.gov team will contact the submitting stakeholder to confirm this.
-
The vets.gov team will contact the stakeholder to set up a working session to discuss next steps and determine which wave the site or service fits within. This a collaborative process and VA stakeholders will help determine when to schedule migration activities.
-
Step 6a:
If a site/service is determined as a wave 1 or 2, then the team will begin the defined vets.gov product development process. [link]
Step 6b.If a site/service qualifies as waves 3 or 4 additional planning and technical due diligence will be required. The vets.gov team will work collaboratively with VA stakeholders to develop a planning schedule.
-
Wave 3 and 4 projects begin the defined vets.gov product development [link] process after the completion of planning ad technical due diligence.


Instruction manual
High quality video(if applicable)
5 revisions
Devolpment for multiple platforms
Multi-file*
Special code(swift, C#, python
Domain Registration
Github repository
Consulting


DiscoverHumble is my second timed product challenge of 2018. The Goal: redesign the HumbleBundle Library experience in 36 hours.
DiscoverHumble came about due to a problem I was having with having too many games in my HumbleBundle library. With so many games, it was difficult to figure out which game I wanted to play next.
DiscoverHumble is a way for people to re-discover their games on HumbleBundle in a different way.
Let me know your thoughts here.
Note: The items you currently see are items that are found in my library. Want to set up this up with your own HumbleBundle? Check out the instructions here.
This project greatly benefitted from the work from the following places and people:
Like what you see? Feel free to give me a shout or even buy me a coffee!


¶ Backbone.queryRouter.nested.jsOverrides for handling nested querystrings & nested models. |
|
|
CommonJS includes. This is a browserify module and will run both inside Node and in the browser. |
|
|
Backbone.History nested support. Type
Backbone.History
|
|
|
Model emcompassing current query state. You can read and set properties
on this Model and Type
Backbone.Model
|
|
|
Given two objects, compute their differences and list them. When diffing deep objects, return one string for the object and one for each child. This allows functions to bind to deep properties or its parent. E.g. a change to a.b.c returns ['a', 'a.b', 'a.b.c'] This uses DeepDiff (flitbit/diff), which can detect changes deep within objects. We don't use objects in querystrings quite yet, but we do arrays. And that might change. Params
{Object} lhs Left hand object.
{Object} rhs Right hand (new) object.
Returns
Array
Array of string differences.
|
44
45 Backbone.history._getDiffs = function(lhs, rhs) {
46 var diffs = diff(lhs, rhs);
47 var diffKeys = _.reduce(diffs, function(result, diff) {
48 var paths = _.map(diff.path, function(path, i) {
49 return _.first(diff.path, i + 1).join('.');
50 });
51 return result.concat(paths);
52 }, []);
53 return _.uniq(diffKeys);
54 };
55 |


Released February 24, 2012
Additions
Grid
- Added a driver to support for Microsoft SQL Server with PDO
- Add ODBC driver with support for MSSQL, MySQL, PostgreSQL and SQLite databases. Refer to example on how to use it
- Added a response which contain the primary key and last inserted id when a insert is performed
- New event System - it will be described in 4.4 release.
jqVisual Builder
- Add a possibilty to insert custom PHP code in the generated form
Fixes
Grid
- Fix success message
- Fixes in beginTransaction commit and rollback all datanbase drivers
- Renaming Session to jqSession and Template to jqTemplate classes in in jqGridUtil in order to overcomme duplicate names
- Fix autocomplete in searching when modal dialog
- Numerouse fixes in JavaScript - refer here
jqScheduler
- Doctype should be at first place before any php command
- Fix droping in the calendar in case of AllDay events
- Fix tooltip to release the title correctly in case it is not found.
jqChart
- Better performance with thousands of points.
- Improved useHTML feature on labels to skip SVG text generation and use true HTML bounding box.
- Added configuration options to the Reset button.
- Added support for logarithmic axes.
- Numerous bug fixes.
- Added partial support for Android 2.x. See the compatibility page for limitations.


Duterte apologizes to foreign teams for SEA Games 2019 woes
The President says the Malacañang probe into the SEA Games would not spare his allies even if the controversy could cause their political downfall
by Pia RanadaSubscribe
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- Glenda Gloria's Take this Tuesday
- Huddle by Miriam Grace Go
- The Newsbreak Agenda by Chay Hofileña
- Sometimes, all you need is video by Lilibeth Frondoso


My DREAM Team
Chris Paul
Point God
M.V.Ps:
...
Championships:
...
Years Pro:
...
Kobe Bryant
Shooting Guard
M.V.Ps:
...
Championships:
...
Years Pro:
...
Lebron James
Point Forward
M.V.Ps:
...
Championships:
...
Years Pro:
...
Kevin Garnett
Power Forward
M.V.Ps:
...
Championships:
...
Years Pro:
...
Shaq
Center
M.V.Ps:
...
Championships:
...
Years Pro:
...


“Six thousand years have passed since we were set to till the ground, from which we were taken. How much of it is tilled? How much of that which is, wisely or well? In the very centre and chief garden of Europe—where the two forms of parent Christianity have had their fortresses—where the noble Catholics of the Forest Cantons, and the noble Protestants of the Vaudois valleys, have maintained, for dateless ages, their faiths and liberties—there the unchecked Alpine rivers yet run wild in devastation ; and the marshes, which a few hundred men could redeem with a year's labour, still blast their helpless inhabitants into fevered idiotism.”
John Ruskin, The Mystery Of Life And Its Arts (1868)


A Julia package for generating visualizations in Vega
Getting Started
Visualization Primitives
Creating A Visualization From Scratch
Vega.jl provides support automatically for Escher.jl web UIs through an “optional dependency”. While not installed as part of the Vega REQUIRES file, if a user has Escher installed in their Julia packages (using Pkg.add("Escher")
), Vega will include functionality for automatically converting the ::VegaVisualization
type to Escher ::Tile
.
Besides a using Vega
statement, the only other line of code needed to render a Vega chart within Escher is push!(window.assets,("Vega","vega-plot"))
. This includes the Vega JavaScript libraries in Escher; after that, you can place your normal Vega.jl code within the main()
function in Escher and your charts will render.
using Vega
function main(window)
push!(window.assets,("Vega","vega-plot"))
x = 1:5
y = rand(5)
a = areaplot(x = x, y = y)
colorscheme!(a, palette = "green")
b = barplot(x = x, y = y)
hbox(a, b) |> pad(2em)
end


Have living related questions?
At Sol y Luna Exclusive Health Resorts, our goal is to provide a secured and caring environment with a professional trained staff to meet the needs of our residents and their families.
Please, contact us for information at: 01<PHONE_NUMBER>
If you would like to have additional information or questions regarding our services or availability, please use the following Contact Form and you will be contacted by one of ours Health Care Advisors.


STSStreamingErrorCode
enum STSStreamingErrorCode {}
StraaS.io streaming SDK error code
-
Couldn’t access the camera, may be the permission problem or other camera problems.
Declaration
Objective-C
STSStreamingErrorCodeCamera = 0
-
Couldn’t access the microphone, may be the permission problem or other microphone problems.
Declaration
Objective-C
STSStreamingErrorCodeMicrophone = 1
-
Resolution is not supported by camera in current device.
Declaration
Objective-C
STSStreamingErrorCodeResolutionNotSupport = 2
-
SDK internal error happened, please try again or report issue.
Declaration
Objective-C
STSStreamingErrorCodeInternal = 3
-
Network error, underlying error object is included in the user info dictionary.
Declaration
Objective-C
STSStreamingErrorCodeNetwork = 4
-
Operation is denied, the cause may be calling a method in wrong state.
Declaration
Objective-C
STSStreamingErrorCodeOperationDenied = 5
-
Server side error happened, please try again later or contact with service provider.
Declaration
Objective-C
STSStreamingErrorCodeServer = 6
-
Member JWT is invalid or expired. Please try again with a new member JWT.
Declaration
Objective-C
STSStreamingErrorCodeUnauthorized = 7
-
Provided parameter is invalid.
Declaration
Objective-C
STSStreamingErrorCodeParameterNotSupport = 8
-
Couldn’t create new event because of limitation of user’s live event count.
Declaration
Objective-C
STSStreamingErrorCodeLiveCountLimit = 9
-
Live event expired, please remove this event by calling STSStreamingManager’s
cleanLiveEvent:success:failure:
method.Declaration
Objective-C
STSStreamingErrorCodeEventExpired = 10
-
Couldn’t find target live event. This error may be due to the event doesn’t exist, is ended, or doesn’t belong to current JWT.
Declaration
Objective-C
STSStreamingErrorCodeEventNotFound = 11


Micro Meetup
`
DJ
wants to meet up and
grab drinks
7:30PM
Stars
Downtown Charleston
Get Directions
DJ Fullante
What are some your interests / hobbies?
Lorem Ipsum
What's one surprising fact about you?
Lorem Ipsum
What are some of your favorite TV shows?
Lorem Ipsum
Join Event


Uses of Interface
org.apache.qpid.protonj2.types.transport.DeliveryState
-
-
Uses of DeliveryState in org.apache.qpid.protonj2.client.impl
Methods in org.apache.qpid.protonj2.client.impl with parameters of type DeliveryState Modifier and Type Method Description void
ClientStreamSender.ClientOutgoingEnvelope. send(DeliveryState state, boolean settled)
-
Uses of DeliveryState in org.apache.qpid.protonj2.engine
Methods in org.apache.qpid.protonj2.engine that return DeliveryState Modifier and Type Method Description DeliveryState
IncomingDelivery. getDefaultDeliveryState()
DeliveryState
Receiver. getDefaultDeliveryState()
DeliveryState
IncomingDelivery. getRemoteState()
DeliveryState
OutgoingDelivery. getRemoteState()
DeliveryState
IncomingDelivery. getState()
DeliveryState
OutgoingDelivery. getState()
Methods in org.apache.qpid.protonj2.engine with parameters of type DeliveryState Modifier and Type Method Description IncomingDelivery
IncomingDelivery. disposition(DeliveryState state)
updates the state of the deliveryIncomingDelivery
IncomingDelivery. disposition(DeliveryState state, boolean settle)
Update the delivery with the given disposition if not locally settled and optionally settles the delivery if not already settled.OutgoingDelivery
OutgoingDelivery. disposition(DeliveryState state)
updates the state of the deliveryOutgoingDelivery
OutgoingDelivery. disposition(DeliveryState state, boolean settle)
Update the delivery with the given disposition if not locally settled and optionally settles the delivery if not already settled.Receiver
Receiver. disposition(java.util.function.Predicate<IncomingDelivery> filter, DeliveryState state, boolean settle)
For each unsettled outgoing delivery that is pending in theReceiver
apply the given predicate and if it matches then apply the given delivery state and settled value to it.Sender
Sender. disposition(java.util.function.Predicate<OutgoingDelivery> filter, DeliveryState state, boolean settle)
For each unsettled outgoing delivery that is pending in theSender
apply the given predicate and if it matches then apply the given delivery state and settled value to it.IncomingDelivery
IncomingDelivery. setDefaultDeliveryState(DeliveryState state)
Configures a default DeliveryState to be used if a received delivery is settled/freed without any disposition state having been previously applied.Receiver
Receiver. setDefaultDeliveryState(DeliveryState state)
Configures a default DeliveryState to be used if a received delivery is settled/freed without any disposition state having been previously applied. -
Uses of DeliveryState in org.apache.qpid.protonj2.engine.impl
Methods in org.apache.qpid.protonj2.engine.impl that return DeliveryState Modifier and Type Method Description DeliveryState
ProtonIncomingDelivery. getDefaultDeliveryState()
DeliveryState
ProtonReceiver. getDefaultDeliveryState()
DeliveryState
ProtonIncomingDelivery. getRemoteState()
DeliveryState
ProtonOutgoingDelivery. getRemoteState()
DeliveryState
ProtonIncomingDelivery. getState()
DeliveryState
ProtonOutgoingDelivery. getState()
Methods in org.apache.qpid.protonj2.engine.impl with parameters of type DeliveryState Modifier and Type Method Description IncomingDelivery
ProtonIncomingDelivery. disposition(DeliveryState state)
IncomingDelivery
ProtonIncomingDelivery. disposition(DeliveryState state, boolean settle)
OutgoingDelivery
ProtonOutgoingDelivery. disposition(DeliveryState state)
OutgoingDelivery
ProtonOutgoingDelivery. disposition(DeliveryState state, boolean settle)
Receiver
ProtonReceiver. disposition(java.util.function.Predicate<IncomingDelivery> filter, DeliveryState disposition, boolean settle)
Sender
ProtonSender. disposition(java.util.function.Predicate<OutgoingDelivery> filter, DeliveryState state, boolean settle)
ProtonIncomingDelivery
ProtonIncomingDelivery. setDefaultDeliveryState(DeliveryState state)
ProtonReceiver
ProtonReceiver. setDefaultDeliveryState(DeliveryState state)
-
Uses of DeliveryState in org.apache.qpid.protonj2.types.messaging
Classes in org.apache.qpid.protonj2.types.messaging that implement DeliveryState Modifier and Type Class Description class
Accepted
class
Modified
class
Received
class
Rejected
class
Released
-
Uses of DeliveryState in org.apache.qpid.protonj2.types.transactions
Classes in org.apache.qpid.protonj2.types.transactions that implement DeliveryState Modifier and Type Class Description class
Declared
class
TransactionalState
-
Uses of DeliveryState in org.apache.qpid.protonj2.types.transport
Methods in org.apache.qpid.protonj2.types.transport that return DeliveryState Modifier and Type Method Description DeliveryState
Disposition. getState()
DeliveryState
Transfer. getState()
Methods in org.apache.qpid.protonj2.types.transport that return types with arguments of type DeliveryState Modifier and Type Method Description java.util.Map<Binary,DeliveryState>
Attach. getUnsettled()
Methods in org.apache.qpid.protonj2.types.transport with parameters of type DeliveryState Modifier and Type Method Description Disposition
Disposition. setState(DeliveryState state)
Transfer
Transfer. setState(DeliveryState state)
Method parameters in org.apache.qpid.protonj2.types.transport with type arguments of type DeliveryState Modifier and Type Method Description Attach
Attach. setUnsettled(java.util.Map<Binary,DeliveryState> unsettled)
-


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.io.input; | |
| 18 | ||
| 19 | import static org.apache.commons.io.IOUtils.EOF; | |
| 20 | ||
| 21 | import java.io.IOException; | |
| 22 | import java.io.InputStream; | |
| 23 | ||
| 24 | /** | |
| 25 | * Data written to this stream is forwarded to a stream that has been associated | |
| 26 | * with this thread. | |
| 27 | * | |
| 28 | */ | |
| 29 | public class DemuxInputStream | |
| 30 | extends InputStream | |
| 31 | { | |
| 32 | private final InheritableThreadLocal<InputStream> m_streams = new InheritableThreadLocal<>(); | |
| 33 | ||
| 34 | /** | |
| 35 | * Bind the specified stream to the current thread. | |
| 36 | * | |
| 37 | * @param input the stream to bind | |
| 38 | * @return the InputStream that was previously active | |
| 39 | */ | |
| 40 | public InputStream bindStream( final InputStream input ) | |
| 41 | { | |
| 42 | final InputStream oldValue = m_streams.get(); | |
| 43 |
1
1. bindStream : removed call to java/lang/InheritableThreadLocal::set → KILLED |
m_streams.set( input ); |
| 44 |
1
1. bindStream : mutated return of Object value for org/apache/commons/io/input/DemuxInputStream::bindStream to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return oldValue; |
| 45 | } | |
| 46 | ||
| 47 | /** | |
| 48 | * Closes stream associated with current thread. | |
| 49 | * | |
| 50 | * @throws IOException if an error occurs | |
| 51 | */ | |
| 52 | @Override | |
| 53 | public void close() | |
| 54 | throws IOException | |
| 55 | { | |
| 56 | final InputStream input = m_streams.get(); | |
| 57 |
1
1. close : negated conditional → NO_COVERAGE |
if( null != input ) |
| 58 | { | |
| 59 |
1
1. close : removed call to java/io/InputStream::close → NO_COVERAGE |
input.close(); |
| 60 | } | |
| 61 | } | |
| 62 | ||
| 63 | /** | |
| 64 | * Read byte from stream associated with current thread. | |
| 65 | * | |
| 66 | * @return the byte read from stream | |
| 67 | * @throws IOException if an error occurs | |
| 68 | */ | |
| 69 | @Override | |
| 70 | public int read() | |
| 71 | throws IOException | |
| 72 | { | |
| 73 | final InputStream input = m_streams.get(); | |
| 74 |
1
1. read : negated conditional → KILLED |
if( null != input ) |
| 75 | { | |
| 76 |
1
1. read : replaced return of integer sized value with (x == 0 ? 1 : 0) → TIMED_OUT |
return input.read(); |
| 77 | } | |
| 78 | else | |
| 79 | { | |
| 80 |
1
1. read : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return EOF; |
| 81 | } | |
| 82 | } | |
| 83 | } | |
Mutations | ||
| 43 |
1.1 |
|
| 44 |
1.1 |
|
| 57 |
1.1 |
|
| 59 |
1.1 |
|
| 74 |
1.1 |
|
| 76 |
1.1 |
|
| 80 |
1.1 |


Unidata's Local Data Manager (LDM) software acquires data and shares them with other networked computers. A data product is treated as a opaque unit, thus nearly any data can be relayed. In particular, the LDM can handle data from National Weather Service "NOAAport channel 3" data streams, including gridded data from the numerical forecast models. It also handles NEXRAD radar data, lightning data from the National Lightning Detection Network, and GOES satellite imagery.
Data can either be ingested directly from a data source by a client ingester, or the LDM server can talk to other LDM servers to either receive or send data. Ingesters scan the data stream, determine product boundaries, and extract products, passing those products on to the server product queue. These data, in turn, can be processed locally and/or passed on to other LDM servers.
Data passed to the LDM server are processed in a variety of ways; how specific data are processed is determined by data identifiers and a configuration file. Processing actions include placing the data in files and running arbitrary programs on the data. Decoders are also available from Unidata that interface with the LDM and convert data into the forms required by various applications.
The Unidata Program Center distributes the LDM software via FTP and WWW. The LDM homepage is http://www.unidata.ucar.edu/software/ldm. There is no cost for the LDM software.
US institutions of higher education receive full support from the Unidata Program Center. Full support includes software upgrades and bug fixes; training; documentation; consultation via e-mail; and an active, special-interest-group electronic mailing list.
The LDM is designed to run on a properly configured UNIX platform. The following specifications represent minimum platform requirements:
UCAR Unidata Program Center
P.O. Box 3000
Boulder, Colorado, USA 80307
(303) 497-8643
Internet: support at unidata.ucar.edu


#include <csirx_structs_if.h>
Data Fields | |
| uint8_t | running |
| uint8_t | readyState |
| uint8_t | streamFsm |
| uint8_t | protocolFsm |
CSI2 Slave Controller Status. Contains useful debug information such as FSM states.
| uint8_t CSIRX_StreamStatus_s::protocolFsm |
Input to Stream FSM states: 0x0: PRO_IDLE 0x1: PROT_CRL 0x2: PROT_DAA 0x3: Reserved
| uint8_t CSIRX_StreamStatus_s::readyState |
Indicates the state of the pushback signal PixelReadyIf for this stream
| uint8_t CSIRX_StreamStatus_s::running |
he Stream is enabled
| uint8_t CSIRX_StreamStatus_s::streamFsm |
"Output to Stream FSM states: 0x0: STREAM_IDLE 0x1: STREAM_WAIT_CTRL_DATA Expecting control data next 0x2: STREAM_CTRL Check contents of Ctrl packet and extract header information 0x3: STREAM_DATA Pixel stream pixel data unpacking 0x4: STREAM_DATA_START Assert Hsync 0x5: STREAM_DATA_END De-assert Hysnc 0x6: STREAM_FILL_WAIT Elastic Buffer cfg - wait until fill level is reached 0x7: STREAM_STOP Stop at the end of Frame - used to set irq 0x8: STREAM_WAIT_CRC Wait until CRC check has completed - Full Line cfg 0x9: STREAM_DATA_PACKED Packed stream data handling 0xA-F : Reserved


| Package | Description |
|---|---|
| javax.measure.spi |
[OPTIONAL] The Units of Measurement SPI.
|
| Class | Description |
|---|---|
| FormatService |
This interface represent the service to obtain instances of
UnitFormat and QuantityFormat . |
| FormatService.FormatType | |
| QuantityFactory | |
| ServiceProvider |
Service Provider for Units of Measurement services.
|
| SystemOfUnits |
A system of units grouped together for historical or cultural reasons.
Common system of units are "SI" (System International), "Imperial" (British), "US" (US Customary). |
| SystemOfUnitsService |
This interface represents the service to obtain a
system
of units . |
| UnitFormatService |
This interface represent the service to obtain
UnitFormat instances.Note: This parent interface remains separate for backward-compatibility, it will be merged into FormatService in a future version. |
Copyright © 2014–2020 Jean-Marie Dautelle, Werner Keil, Otavio Santana. All rights reserved.


bjarkan.list_devices module¶
-
bjarkan.list_devices.
quit
(mainloop)¶
-
bjarkan.list_devices.
scan_devices
(duration=10)¶ This causes the bluetooth system to scan for any broadcasting devices. Once found, the devices get added to a dbus backed database specific for bluetooth for retrieval later.
Parameters: duration (int) – the amount of time that the scan should run for in seconds.
-
bjarkan.list_devices.
gather_device_info
()¶ This function is responsible for digging through the dbus bluetooth database and retrieving all the known devices and the information about those devices. The database is seeded from scan_devices.
Returns: List of device objects. Each object is one device and consisting of the properties of that device. Example:
-
bjarkan.list_devices.
connected_devices
()¶ Fetches the dbus bluetooth database and returns a list of devices that have a connected value of ‘1’
Returns: List of device objects. Each object is one device and consisting of the properties of that device. Example:
-
bjarkan.list_devices.
paired_devices
()¶ Fetches the dbus bluetooth database and returns a list of devices that have a paired value of ‘1’
Returns: List of device objects. Each object is one device and consisting of the properties of that device. Example:
-
bjarkan.list_devices.
all_devices
()¶ Forces a scan to populate the bluetooth dbus database, fetches the database information and returns it.
Returns: List of device objects. Each object is one device and consisting of the properties of that device. Example:


Tools for the exploration of distributions of phylogenetic trees. This package includes a 'shiny' interface which can be started from R using treespaceServer(). For further details see Jombart et al. (2017) <doi:10.1111/1755-0998.12676>.
| Version: | 1.1.3 |
| Depends: | R (≥ 3.4.0), ape, ade4 |
| Imports: | adegenet, adegraphics, adephylo, combinat, compiler, distory, fields, htmlwidgets, MASS, parallel, phangorn, phytools, Rcpp, rgl, RLumShiny, scatterD3, shiny, shinyBS, utils |
| LinkingTo: | Rcpp |
| Suggests: | ggplot2, igraph, knitr, pander, RColorBrewer, reshape2, rmarkdown, testthat |
| Published: | 2018-05-14 |
| Author: | Thibaut Jombart [aut], Michelle Kendall [aut, cre], Jacob Almagro-Garcia [aut], Caroline Colijn [aut] |
| Maintainer: | Michelle Kendall <michelle.kendall at bdi.ox.ac.uk> |
| BugReports: | https://github.com/thibautjombart/treespace/issues |
| License: | MIT + file LICENSE |
| URL: | https://cran.r-project.org/package=treespace, https://github.com/thibautjombart/treespace |
| NeedsCompilation: | yes |
| Citation: | treespace citation info |
| Materials: | README |
| CRAN checks: | treespace results |
| Reference manual: | treespace.pdf |
| Vignettes: |
treespace worked example: Dengue trees treespace worked example: Transmission trees treespace: exploration of landscapes of phylogenetic trees treespace worked example: comparing by tip categories |
| Package source: | treespace_1.1.3.tar.gz |
| Windows binaries: | r-devel: treespace_1.1.3.zip, r-release: treespace_1.1.3.zip, r-oldrel: treespace_1.1.3.zip |
| OS X binaries: | r-release: treespace_1.1.3.tgz, r-oldrel: treespace_1.1.3.tgz |
| Old sources: | treespace archive |
Please use the canonical form https://CRAN.R-project.org/package=treespace to link to this page.


Paragraphs are separated by a blank line.
2nd paragraph. Italic, bold, and monospace
. Itemized lists look like:
Note that --- not considering the asterisk --- the actual text content starts at 4-columns in.
Block quotes are written like so.
They can span multiple paragraphs, if you like.
Use 3 dashes for an em-dash. Use 2 dashes for ranges (ex., "it's all in chapters 12--14"). Three dots ... will be converted to an ellipsis. Unicode is supported. ☺
Here's a numbered list:
Note again how the actual text starts at 4 columns in (4 characters from the left side). Here's a code sample:
# Let me re-iterate ...
for i in 1 .. 10 { do-something(i) }
As you probably guessed, indented 4 spaces. By the way, instead of indenting the block, you can use delimited blocks, if you like:
define foobar() {
print "Welcome to flavor country!";
}
(which makes copying & pasting easier). You can optionally mark the delimited block for Pandoc to syntax highlight it:
import time
# Quick, count to ten!
for i in range(10):
# (but not *too* quick)
time.sleep(0.5)
print i
[^1]: Footnote text goes here.
Tables can look like this:
| size | material | color |
|---|---|---|
| 9 | leather | brown |
| 10 | hemp canvas | natural |
| 11 | glass | transparent |
A horizontal rule follows.
Here's a definition list:
apples : Good for making applesauce. oranges : Citrus! tomatoes : There's no "e" in tomatoe.
Again, text is indented 4 spaces. (Put a blank line between each term/definition pair to spread things out more.)
Here's a "line block":
| Line one | Line too | Line tree
and images can be specified like so:
Inline math equations go in like so: $\omega = d\phi / dt$. Display math should get its own line and be put in in double-dollarsigns:
$$I = \int \rho R^{2} dV$$
And note that you can backslash-escape any punctuation characters which you wish to be displayed literally, ex.: `foo`, *bar*, etc.


Christof Schöch & Maria Hinzmann, with contributions from Julia Röttgermann, Katharina Dietz and Anne Klee
https://mimotext.github.io/modeling/
Computational Modeling | Trier University | June 24, 2020
With audio slideshows you can add recorded audio to whatever you want to deliver to your audience.
Listen to the birds


Getting Started - Joining a Meeting
- You can download the Zoom app from the Zoom's Download Centre . Otherwise, you can access it from your browser.
- Each meeting has a unique meeting ID that is required to join.
- If you're joining by telephone, you will need the teleconferencing number provided in the invite.
- Zoom Meetings syncs with your calendar system and delivers streamlined enterprise-grade video conferencing from desktop and mobile.
- Bring HD video and audio to your meetings with support for up to 1,000 video participants and 49 videos on screen.
- Record your meetings locally or to the cloud, with searchable transcripts. The host and attendee can screen share by clicking the Share Screen icon.
- Keep participants engaged: enable polling; Q & A; virtual hand-raising; etc.
From Meetings to Webinars
- Host online events with up to 100 interactive video participants. Plans range from 100 to 10,000 view-only attendees.
- Expand your impact with on-demand or recurring webinars with recording and auto-generated transcripts.
- Mute / unmute panelists, and promote attendee to panelist, giving them audio and video capabilities for enahnced engagement.
Tips for Videoconferencing
- Use video to promote face to face interaction, but always include an audio line as back-up.
- Remind your team to mute when not speaking to avoid unnecessary distractions.
- If chat is enabled, be sure to have someone monitoring it.


Before Change
return step_size
def _sample_r(self, name):
r = {}
r_flat_dict = {}
for site_names in self.inverse_mass_matrix:
r_flat = pyro.sample(
"{}_{}".format(name, site_names), self._adapter.r_dist[site_names])
pos = 0
for name in site_names:
param = self.initial_params[name]
next_pos = pos + param.numel()
r[name] = r_flat[pos:next_pos].reshape(param.shape)
pos = next_pos
assert pos == r_flat.size(0)
r_flat_dict[site_names] = r_flat
return r, r_flat_dict
After Change
for site_names, size in self.mass_matrix_adapter.mass_matrix_size.items():
// we want to sample from Normal distribution using `sample` method rather than
// `rsample` method because the former is a bit faster
r_unscaled[site_names] = pyro.sample(
"{}_{}".format(name, site_names),
NonreparameterizedNormal(torch.zeros(size, **options), torch.ones(size, **options)))
r = self.mass_matrix_adapter.scale(r_unscaled, r_prototype=self.initial_params)
return r, r_unscaled


Monoid.idr
by the type
IsMonoid
in the file Monoid.idr
Group.idr
by the type
IsGroup
in the file Group.idr
.IsAbelianGrp
.
– ask Chinmoy if he did it firstQuotient_Group.idr
.Proved the following property for groups in the file
Group_property.idr
.
Group_property_1
)Group_property_2
)Group_property_3
)Group_property_4
)_Group_property_5
)_Group_property_6
)Group_property_7
)Group_property_8
)All are done in the file Quotient_Group.idr
.
Coset
of an element.Is_in_Coset
.Defined rings in the file Ring.idr
.
Defined the type of sorted vectors by the type
SortedVect
in the file sorting_with_proof.idr
PermB
and Perm2
in the file permutation.idr
.applyFun
in the file permutation.idr
.Finite
and proved that it is equivalent
to the type Fin
. Finite
is easier to work with as it
makes the size explicit.PermC
in the file perm_cons.idr
.
commit 3dca174f14f05a1e332f8cbaa459bead0fc0cfb6
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Sat Feb 23 15:57:45 2019 +0530
Commit: GitHub
CommitDate: Sat Feb 23 15:57:45 2019 +0530
started a proof of pigeonhole principle
Code/pigeonhole.idr | 80 +++++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 80 insertions(+)
commit 515d7e6f0128a7143e70e0e5d37c935b8a741584
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Sat Feb 23 00:25:43 2019 +0530
Commit: GitHub
CommitDate: Sat Feb 23 00:25:43 2019 +0530
Some basics methods on graphs
Code/Graph_alt.idr | 45 +++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 45 insertions(+)
commit 08d30b2885f0abb37e1cd550b6f4c0b982041a7f
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Fri Feb 22 22:36:19 2019 +0530
Commit: GitHub
CommitDate: Fri Feb 22 22:36:19 2019 +0530
Added a method to convert functions to vectors.
 Started proving properties of Cosets
Code/Group.idr | 95 ++++++++++++++++--------------------------------
Code/Group_property.idr | 56 +---------------------------
Code/Group_property2.idr | 86 +++++++++++++++++++++++++++++++++++++++++++
Code/Quotient_Group.idr | 35 +++++++++++++++++-
4 files changed, 152 insertions(+), 120 deletions(-)
commit ef9f6d860d4f73112ca89938bdcc683486fb5e20
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:48:24 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:48:24 2019 +0530
Delete Ring.idr
Ring.idr | 48 ------------------------------------------------
1 file changed, 48 deletions(-)
commit a92809a0d69707ce8688656a8b9028267fa9c0a9
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:48:13 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:48:13 2019 +0530
Delete Group_property2.idr
Group_property2.idr | 86 -----------------------------------------------------
1 file changed, 86 deletions(-)
commit 05011a0463d430396b26b6a6bb45eb1a8d83509b
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:48:03 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:48:03 2019 +0530
Delete Group_property.idr
Group_property.idr | 129 -----------------------------------------------------
1 file changed, 129 deletions(-)
commit f0088e6e1ae14dee2ff62af84445bebeea37672c
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:47:53 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:47:53 2019 +0530
Delete Quotient_Group.idr
Quotient_Group.idr | 72 ------------------------------------------------------
1 file changed, 72 deletions(-)
commit 0438d8f008737dee4db6a4cc26e32d0f21e0fdc9
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:47:42 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:47:42 2019 +0530
Delete Monoid.idr
Monoid.idr | 36 ------------------------------------
1 file changed, 36 deletions(-)
commit 051be30b5b7dc64b8b2474d22fd587470c617383
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:47:31 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:47:31 2019 +0530
Delete Group.idr
Group.idr | 97 ---------------------------------------------------------------
1 file changed, 97 deletions(-)
commit aec202e2dd3bb7a3344ccc1cd01325f6ff852f25
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:47:20 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:47:20 2019 +0530
Delete Choice.idr
Choice.idr | 3 ---
1 file changed, 3 deletions(-)
commit 6c3ef31672a661f37c26dc36c909c58dbf4c9842
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:47:11 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:47:11 2019 +0530
Delete congruence.idr
congruence.idr | 6 ------
1 file changed, 6 deletions(-)
commit 0f3477cd11de4966705a29ec14b922a60ed31568
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 14 10:45:08 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 14 10:45:08 2019 +0530
Finished property_7. Started proving properties of Cosets
Choice.idr | 3 ++
Group.idr | 97 +++++++++++++++++++++++++++++++++++++++
Group_property.idr | 129 ++++++++++++++++++++++++++++++++++++++++++++++++++++
Group_property2.idr | 86 +++++++++++++++++++++++++++++++++++
Monoid.idr | 36 +++++++++++++++
Quotient_Group.idr | 72 +++++++++++++++++++++++++++++
Ring.idr | 48 +++++++++++++++++++
congruence.idr | 6 +++
8 files changed, 477 insertions(+)
commit<PHONE_NUMBER>9decafa1f4b329e01f33f8a3f102c1
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Sun Feb 10 23:03:09 2019 +0530
Commit: GitHub
CommitDate: Sun Feb 10 23:03:09 2019 +0530
Minor changes
Code/Group_property.idr | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
commit c2d6523360ccc74ecb2b7c9b3e6dc57715786673
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Sun Feb 10 23:00:10 2019 +0530
Commit: GitHub
CommitDate: Sun Feb 10 23:00:10 2019 +0530
Added a proof that for an element in a group, one sided inverse is the inverse.
Code/Group.idr | 3 ++-
Code/Group_property.idr | 60 ++++++++++++++++++++++++++++++++++++++++++-------
2 files changed, 54 insertions(+), 9 deletions(-)
commit 68a7e1d329bf3fa3a32e7d7e88157b30263ae294
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Sun Feb 10 14:47:34 2019 +0530
Commit: GitHub
CommitDate: Sun Feb 10 14:47:34 2019 +0530
Started a proof that f( inv(a)) = inv( f(a))
Code/Group.idr | 2 +-
Code/Group_property.idr | 61 ++++++++++++++++++++++++++++++++++++++++++++++++-
2 files changed, 61 insertions(+), 2 deletions(-)
commit 0768d716365ce23c89679d362f6191d28735a5f8
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Fri Feb 8 22:39:47 2019 +0530
Commit: GitHub
CommitDate: Fri Feb 8 22:39:47 2019 +0530
Deleted misplaced file
perm_cons.idr | 20 --------------------
1 file changed, 20 deletions(-)
commit bbb05b601749b1a7e00434d57fd033b474d59567
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Fri Feb 8 22:39:25 2019 +0530
Commit: GitHub
CommitDate: Fri Feb 8 22:39:25 2019 +0530
Deleted misplaced file
permutation.idr | 59 ---------------------------------------------------------
1 file changed, 59 deletions(-)
commit cc067b2ecc8e738df4c15cfd4eca0565cd940eff
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Fri Feb 8 22:38:59 2019 +0530
Commit: GitHub
CommitDate: Fri Feb 8 22:38:59 2019 +0530
Deleted misplaced file
sorting_with_proof.idr | 54 --------------------------------------------------
1 file changed, 54 deletions(-)
commit aabf62caef2348b1dfb423c82e5f3c60b63f242e
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 7 18:43:43 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 7 18:43:43 2019 +0530
Added right cancellation law
Code/Choice.idr | 3 +++
Code/Group_property.idr | 25 +++++++++++++++++++++++--
Code/congruence.idr | 6 ++++++
3 files changed, 32 insertions(+), 2 deletions(-)
commit 38e0e7d3c646ea9fee80b38c47c51680abc84f5e
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 7 15:07:31 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 7 15:07:31 2019 +0530
Added left cancellation law for groups.
Code/Group.idr | 8 +++++++-
Code/Group_property.idr | 30 +++++++++++++++++++++++++++++-
2 files changed, 36 insertions(+), 2 deletions(-)
commit dc0e820bff69d118aeac360d8128fe49126887bf
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Feb 7 11:22:22 2019 +0530
Commit: GitHub
CommitDate: Thu Feb 7 11:22:22 2019 +0530
Added uniqueness property for inverses and identity for groups
Code/Group.idr | 48 ++++++++++++++++--------------------------------
Code/Group_property.idr | 29 +++++++++++++++++++++++++++++
Code/Monoid.idr | 36 ++++++++++++++++++++++++++++++++++++
Code/Quotient_Group.idr | 41 +++++++++++++++++++++++++++++++++++++++++
4 files changed, 122 insertions(+), 32 deletions(-)
commit bb58463b3ece9b9a4f03530cdcb5052cfc7984e3
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Jan 31 02:02:53 2019 +0530
Commit: GitHub
CommitDate: Thu Jan 31 02:02:53 2019 +0530
Added definition of commutative rings with identity.
Code/Ring.idr | 32 ++++++++++++++++++++++++++++++++
1 file changed, 32 insertions(+)
commit 0ee2f48e2700ff701aab0c39fb8e29bc56e902db
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Wed Jan 30 18:47:58 2019 +0530
Commit: GitHub
CommitDate: Wed Jan 30 18:47:58 2019 +0530
Added a definition of rings in Rings.idr. Created a separate file for monoids.
Code/Ring.idr | 16 ++++++++++++++++
1 file changed, 16 insertions(+)
commit 9adb5a47218285d8df3d7020cc028ae3abcafe1f
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Wed Jan 30 17:34:42 2019 +0530
Commit: GitHub
CommitDate: Wed Jan 30 17:34:42 2019 +0530
Some minor changes and addition in Groups.idr
Code/Group.idr | 66 +++++++++++++++++++++++++++++++++++++++++-----------------
1 file changed, 47 insertions(+), 19 deletions(-)
commit 92e36c301d27377fea7165ea5e5bf2fbe3f47248
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Sat Jan 26 00:36:30 2019 +0530
Commit: GitHub
CommitDate: Sat Jan 26 00:36:30 2019 +0530
Added a definition of Groups
Code/Group.idr | 31 +++++++++++++++++++++++++++++++
1 file changed, 31 insertions(+)
commit 37bfac50bf94c8ae7e0e46b4807bcc95d435a667
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Fri Jan 25 22:50:25 2019 +0530
Commit: GitHub
CommitDate: Fri Jan 25 22:50:25 2019 +0530
Add files via upload
Divided the code into four files
1. Finite.idr - Defined the type Finite n(Finite set of n elements). It is same as the Fin except the 'n' is made explicit
2. perm_cons.idr - Defined permutation with constructors.
3. permutation.idr - Defined permutation as bijections
4. sorting_with_proof - Defined the required SortedVect type
Please check the documentations for explanations.
Code/Finite.idr | 36 +++++++++++++++++++
Code/perm_cons.idr | 22 ++++++++++++
Code/permutation.idr | 59 +++++++++++++++++++++++++++++++
Code/sorting_with_proof.idr | 86 +++++++++++++--------------------------------
4 files changed, 141 insertions(+), 62 deletions(-)
commit b523f3d0518e18f068d3eeefd73614e13c635721
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Jan 24 14:19:07 2019 +0530
Commit: GitHub
CommitDate: Thu Jan 24 14:19:07 2019 +0530
Add files via upload
Added definition of Permutation using constructors (in the file perm_cons).
perm_cons.idr | 20 ++++++++++++++++++++
permutation.idr | 6 ------
sorting_with_proof.idr | 1 +
3 files changed, 21 insertions(+), 6 deletions(-)
commit 41b4b66608180d9ce5217bd929f9a217c5004531
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Jan 24 12:31:04 2019 +0530
Commit: GitHub
CommitDate: Thu Jan 24 12:31:04 2019 +0530
Add files via upload
Created a different file to deal with permutations.
Applying a permutation is getting too complicated.
permutation.idr | 65 ++++++++++++++++++++++++++++++++++++++++++++++++++
sorting_with_proof.idr | 53 ++++++++++++++++++++++++++++++++++++++++
2 files changed, 118 insertions(+)
commit b0e48d69d487d4384481f5b1f19485210ee82bdb
Author: Arka Ghosh<EMAIL_ADDRESS>AuthorDate: Thu Jan 24 00:50:28 2019 +0530
Commit: GitHub
CommitDate: Thu Jan 24 00:50:28 2019 +0530
Add files via upload
Code/sorting_with_proof.idr | 80 +++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 80 insertions(+)


If you wish to contact Turtle Resort to make travel accommodations, local activites, or have a comment or concern, you may do so by:
Email: turtleresort@notanemail
Phone:<PHONE_NUMBER>


I tried to set up a DAV fileshare for some family members to share pictures. I thought it would be clever and easy. Gallery? Can't be as easy as drag-and-drop. And I'd use my indexer (enhanced some) to make the pictures pleasantly viewable through the web. Slick and easy? I didn't want to make the root of the system a DAV share, so I made /share into a DAV share of the root, with:
Alias /share /home/family-site/htdocs <Location /share> DAV On AllowOverride None Options Indexes FollowSymLinks MultiViews AuthName "Secure Murphy Site" AuthType Basic AuthUserFile "/home/family-site/users.auth" <LimitExcept GET HEAD OPTIONS> require user family </LimitExcept> </Location>
But no. For the life of me, I couldn't get the Windows XP people to connect to the server. (Windows 2000 worked fine.)  OK... I follow the instructions, and added a few things:
<IfModule mod_headers.c> Header add MS-Author-Via "DAV" </IfModule> <IfModule mod_encoding.c> EncodingEngine on NormalizeUsername on </IfModule>
But just to be extra sure I add all the usernames to the users.auth file -- family<EMAIL_ADDRESS>and family-site.com\family. And damn, it still doesn't work (though it's hard to tell when debugging over the phone). Now I know why People In The Know know that Web Folders Suck.
I set up a WebDAV folder today to share files in a small office. I had the opposite problem, windows worked fine but linux and OSX would only mount the folder as read-only. Turns out doing autoversioning - putting the whole folder under Subversion (saving a file creates a new revision) was the problem. OSX & Linux want to lock the file but notice apache 2.0 doesn't support LOCK, WindowsXP just writes away. The 2.1/alpha version of Apache has a fix for this, but I haven't tried it yet (I just made a stab at it today).
Autoversioning is the killer feature for me, the other people would/could not use subversion even if they knew what it was. They do like the idea of viewing old versions of files, especially "for free." So I'll be giving Apache 2.1 a try Real Soon Now.
I ran into this problem just yesterday. Instead of configuring the server to work around XP's stupidity, I stumbled across a way to "trick" XP into doing the right thing by including the port number in the URL. So, instead of entering http://family-site.com/share as the address, I would enter http://family-site.com:80/share.
I don't know why it works but it does. At least it started working for me once I did that.
# Jason Diamond
Hey Jason, I just love you. I was trying around for hours - and your trick did it. Thanks a lot. I wonder whether it has to do with accessing a samba share on the same server at the same time? .r.# anonymous
Just to echo the last anonymous sentiment. Thanks a bunch. I've been pratting about for hours trying to get XP to behave and the port number thing fixed it a trick. Probably works as the full format of a URI includes username, password and port number in the same string, so putting the port number in completes all the values passed to the server?# Grant Walters
Thank You!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Why is Microsoft torturing us? I have been working on this for hours until I came across your page.
Thanks!
Donna
# Donna
Use Novell NetDrive (free) - it's a much better WebDAV client than web folders.
Also, SVN implements autoversioning, but you have to explicitly enable it.
# anonymous
After some days of trying to get this to work I wrote a summary about the problem at http://ulihansen.kicks-ass.net/aero/webdav. Listed six possible solutions on the client and the server-side. Additional ideas are welcome.


Grunt tasks
Intro
Grunt tasks are used to init, update and deploy Source engine instances, there is also some helpers for less compilation and watch command for comfortable development.
$ grunt init
$ grunt update
$ grunt updateDebug
$ grunt deployServer
$ grunt deployServerDebug
$ grunt runWatch
- init - is used for first Source setup both client and server side
- update - copies all client side code to server root folder
- updateDebug - copies files without minification
- deployServer - task for minify and copy client side code to server by sftp
- deployServerDebug - copies files to server without minification
- runWatch - helper task for watching changes in client side code and copy them to public, also supports less
For Source install instructions please visit base documentation page.
Deploy to the server via sftp
For deploying to the server via sftp, you need to fill server access options in file /user/options/options.js
. Also you need to fill ssh name/password in .ftppass
. After these changes run:
$ grunt deployServer
All necessary Source.js files will be minimized, uglified and uploaded to your server.


We appreciate that you took the time to send us feedback. Your feedback has been sent to the webmaster.
Back to feedback form.


Familiarizing yourself with the bug tracking software at Metal Toad is important in understanding how a typical QA workflow operates. You will need a few things to get started:


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math HTM (mHTM) is a Python build of hierarchical temporal memory (HTM). This build specifically utilizes the cortical learning algorithms (CLA). A mathematical framework was developed for HTM. This library is built off that framework. The framework is currently only for the spatial pooler (SP); however, it is by no means limited to expand. This implementation was specifically designed to be a completely accurate representation of HTM. Additionally, care was taken to ensure that efficient computations are occurring.
We have recently submitted a paper to IEEE TNNLS explaining this work. A preprint is available on arXiv.
To aid in tying HTM into the machine learning community, this implementation was built to be compatible with Scikit-Learn. If you are familiar with Scikit-Learn, this API should feel natural. Additionally, because the Scikit-Learn interface is used, the SP in this implementation may be used in many of the pre-existing Scikit-Learn tools, namely those utilizing cross-validation (CV). A custom parameter generator was constructed, explicitly for that purpose.
The implementation of the SP is single-threaded; however, multiple forms of parallelizations for cross-validation and parameter optimization exist. For a local machine, simply using one of Scikit-Learn's CV functions supporting parallelization should suffice. For a cluster environment, code is provided to create and launch jobs.
This package is platform independent and should run on any system containing the prerequisites. If you are using a cluster, the cluster must be running SLURM, and as such must be a valid Linux distribution.
The API is fully documented and available in the "docs" folder. Simply open "index.html" in your favorite web browser.
As a starting point, examples have been prepared for working with MNIST. The dataset is additionally, included. Refer to "mnist_simple.py" in "src/examples" for a basic introduction into the API. In that same folder, refer to "mnist_parallel" for examples for using parallelizations locally or an cluster.
The "dev" folder contains the latest code regarding new experiments. This content is subject to change at any point and is not guaranteed to work; however, it can also be used as a basis for exploring this library.
For building the docs, Epydoc is used. To generate new docs,
While this code is completely free of charge, it is highly appreciated that all uses of this code are cited (both in publications as well as within any modified code). Once the IEEE TNNLS paper is approved please cite that work. For now, please cite the preprint:
J. Mnatzaganian, E. Fokoue, and D. Kudithipudi, "A Mathematical Formalization of Hierarchical Temporal Memory Cortical Learning Algorithm's Spatial Pooler," arXiv preprint arXiv:1601.06116, 2016.
No official support is provided; however, support may be provided. To ensure all feedback is within the same location, please use the Wiki for asking general questions and create issues if any bugs are found.
The original author of this code was James Mnatzaganian. For contact info, as well as other details, see his corresponding website.
This work was created at RIT's NanoComputing Research Laboratory.
This code is licensed under the MIT license, with one caveat. Numenta owns patents on specific items. While this code was written without using any of Numenta's code, it is possible that those patent laws still apply. Before using this code, commercially, it is recommended to seek legal advice.
The following image shows how everything is connected:
| Import Graph |
The following notes are for developers only.
From the mHTM folder, execute python epydoc --config=epydoc_config.txt mHTM
Author: James Mnatzaganian
Organization: NanoComputing Research Laboratory
Requires: Python 2.7.X
Version: 0.9.0
License: The MIT License
Copyright: © 2016 James Mnatzaganian
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| Generated by Epydoc 3.0.1 on Sat Feb 06 21:46:17 2016 | http://epydoc.sourceforge.net |


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FlowableCollectWhile
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FlowableDoOnEmpty
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FlowableMapLast
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FlowableServerSocket
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ItemA
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MatchCoordinator
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A class of cell surface receptors for PURINES that prefer ATP or ADP over ADENOSINE. P2 purinergic receptors are widespread in the periphery and in the central and peripheral nervous system. (mesh:D018048)
| Synonym | Reference | Specificity |
| ATP receptors | Exact | |
| ATP receptor | Exact |
| Identifier | Name | Relation |
| FPLX:P2RX | P2RX | isa |
| FPLX:P2RY | P2RY | isa |
| Relation | Identifier | Name |
| isa | FPLX:Purinergic_receptors | Purinergic_receptors |


[Request] Remove BFH purchased items on the feed - Better Battlelog Forums #136340
Sitemap
21. March 2015 03:40
Topicstarter
Dendari
Translator
My Battlelog feed is getting very messy with all these "GUY purchased ITEM" messages, I'd love to hide them as I'm not really interested.
30. March 2015 23:34
magni1200s
Here is a plugin for my personal use, so not fully tested, but might help you.
https://github.com/magni1200s/bblogPlugins/blob/master/src/js/bfhweaponunlockfeedsremover/bfhweaponunlockfeedsremover.js
04. April 2015 19:14
magni1200s
Released my plugin to public.
http://getbblog.com/en/board/topic/137418/1/MOHW-BF3-BF4-BFH-v1-0-0-1-05-04-2015-BFH-weapon-unlock-feeds-remover
05. April 2015 01:33
Topicstarter
Dendari
Translator
Thank you a lot!