Hi all, I can't believe I never heard of OpenEnergyMonitor originally. Here I am putting together my own build with my limited knowledge of Arduino, and I stumble across this!
I'm wondering, since there seems to be a tiny bit of conflicting info on the website, what is the current "recommended" emonBase for OpenEnergyMonitor? Raspberry Pi, NanodeRF SMT Arduino, or the OKG? For my use, I'd like to seriously look at stability and repeatability in a build - and will largely focus on just monitoring current with CTs - the rest is considered "adder" to me and int he future I may expand and use it, but not at this point.
Thanks all, would love to get feedback before I get started.
Re: Hardware Choices
Since you posted the question, Jérôme has posted this: New emonBase standalone gateway.
The Raspberry Pi is the latest and offers great flexibility as you can see - it will also function as an emoncms server.
I've handled both the NanodeRF and the OKG bases. The OKG is a simpler construction (less components to mount) and the Ethernet interface is largely self-contained so there is more memory available for extra functions, in the event that you need them. The Ethernet interface also seems to be more solid, though I've only ever used both for testing, never 'in production'. I don't have a Pi so I cannot include that in the comparison.
Used as a server, the Pi does suffer the well-documented problem of SD card life. A spinning hard disk can of course be used instead, or a USB stick.
Re: Hardware Choices
Now I understand it more from your explanation and doing it slowly and construct with my own way. If you want, I can share to you my portfolio or simply contact us to let you see our projects and other activities where you could also learn and get some ideas as well.


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| Interface | Description |
|---|---|
| CalculatorBox.RangeCheck |
Implement this interface to check if the given value is a valid value to be returned.
|
| FileChooserBox.Filter |
Interface used if you want to filter the files that will be added to the tree.
|
| Class | Description |
|---|---|
| CalculatorBox |
This class is used by the Edit class when its mode is set to CURRENCY and displays
a calculator with six basic operations and a numeric pad.
|
| CalendarBox |
The Calendar class displays a calendar with buttons used to advance the month and the year.
|
| ColorChooserBox |
Shows a color dialog that can be used to select a color.
|
| ControlBox |
A popup window that displays any Control, given as parameter to the constructor.
|
| FileChooserBox |
A class that shows all folders from a startup one to allow the user select a file or a folder.
|
| InputBox |
This class pops up a Window with a Label, an Edit and some buttons.
|
| KeyboardBox |
A popup keyboard to be used with the Edit and MultiEdit class.
|
| MessageBox |
This class implements a scrollable message box window with customized buttons, delayed
unpop and scrolling text.
|
| ProgressBox |
This class implements a MessageBox that shows a Spinner at left of the text.
|
| TimeBox |
totalcross.lang.Class used to input a time from the user.
|


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Sinergia Animal is an international animal protection organization working to end the worst practices of industrial animal agriculture.
I discovered this NGO through 80000hours.org, a research group which features companies that are working to solve the most pressing global issues. After assessing Sinergia’s site I found some opportunities where I could provide some helpful insight on their UX and UI design. And I did, by putting together a new home design (unsolicited) and then emailed my ideas to the Communications Director who ended up liking my work. Now we're set to collaborate on a design project starting in August 2020 (super excited!).
UX/UI Design
Home page mockup (re-design)
The challenge was not knowing Sinergia’s business priorities. So, I got familiar with their work by looking through their mission statement and values, which gave me a good sense of what seemed most important - taking action.
When you land on the current home page, you’ll see that there are a few too many navigation items to pick from. I thought about user-centered design and guiding principles, so I reduced the number of menu items to ease navigation overload, created CTA buttons for important features, such as the donation and volunteer pages, and visually emphasized the human touch behind their efforts.


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NIXON A film review by Andrew Hicks Copyright 1996 Andrew Hicks / Fatboy Productions
(1995) *** (out of four)
With NIXON, Oliver Stone's three-hour follow-up to JFK, one more president is crossed off the list of epic biopics. I don't know about you, but I can hardly wait for TAFT. Until then, however, we've got this piece of work, starring Anthony Hopkins as Richard Nixon. Hopkins contributes an amazing performance, painting Nixon as a man almost as paranoid and conspiracy-minded as Stone himself. Hopkins sounds a lot like Nixon, but his visual appearance is a bizarre meld between how he normally looks and the famous Nixon jowls and hairline.
NIXON covers pretty much the whole life of the disgraced President, beginning with the bungled Watergate break-in and flashing back to his first Presidential campaign (including a re-enactment of the famous TV debate with Kennedy), his football days and even early home life. We discover Mama Nixon (Mary Steenburgen) talked in the King James English of thee's and thou's, while Papa Nixon's solution for everything was to beat his kids with a belt. With an upbringing like this, it's no wonder Nixon has conversations with the Lincoln Memorial.
 It's not as innovative or effective here as in JFK but also not as annoying or overdone as in NATURAL BORN KILLERS. Stone makes it known upfront that he's taken liberties with history in telling the story, but mixes in enough real news clips and celebrity look-alikes (including Henry Kissinger and Mao-Tse Tung) to make it seem convincing.
Joan Allen does particular justice to the role of Pat Nixon, longsuffering wife of a crazed man who never calls her anything but "Buddy" and keeps promising a happy marriage at the next stage of his career, until finally they both reach the top and things are worse than ever. Ed Harris (as Howard Hunt), Bob Hoskins (shedding his English accent and donning a French maid uniform for the role of J. Edgar Hoover), David Paymer (Ron Zeigler) and Ed Harris (E. Howard Hunt) are also standouts in assuming the roles of real-life Nixon associates. NIXON is the movie that proves Oliver Stone should stick to long, surreal biographies of American presidents rather than Generation X slasher satire.
--
Visit the Movie Critic at LARGE homepage at http://www.missouri.edu/~c667778/movies.html Serving America For Over 1/50 of a Century!
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This is the photo hub with all of the previous trips
This is the official instagram of the New Orleans trip where interactive posts, student highlights, and many more are posted.
Youth Rebuilding New Orleans is the first orginzatiuon that we work with on this trip. We restore houses destroyed by Hurricane Katrina
Common Ground Relief is the second organization we work with that tries to install natural hurricane prevention with nature.
These are some recipes of classic food found in NOLA.
Here you can learn a bit more about Hurricane Katrina and why it was so significant to New Orleans and why it still is today.
Here you can peer into the iconic French Quarter that is a staple of NOLA.
Here are some of the most iconic restaurants located in New Orleans.
The Mercedes Superdome is home to the New Orleans Saints football team. Students from previous trips have visited.
Voodoo is one of the many things New Orleans is known for. Laveau was the voodoo queen of NOLA. Learn more about her and her practices here.
Learn more about Voodoo in New Orleans here.
Mardi Gras is a celebration in NOLA where people flow through the streets playing music and having fun.


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| smooth.construct.so.smooth.spec {mgcv} | R Documentation |
Sets up basis functions and wiggliness penalties for soap film smoothers (Wood, Bravington and Hedley, 2008). Soap film smoothers are based on the idea of constructing a 2-D smooth as a film of soap connecting a smoothly varying closed boundary. Unless smoothing very heavily, the film is distorted towards the data. The smooths are designed not to smooth across boundary features (peninsulas, for example).
The so
version sets up the full smooth. The sf
version sets up just the boundary interpolating
soap film, while the sw
version sets up the wiggly component of a soap film (zero on the boundary).
The latter two are useful for forming tensor products with soap films, and can be used with gamm
and gamm4
. To use these to simply set up a basis, then call via the wrapper smooth.construct2
or smoothCon
.
## S3 method for class 'so.smooth.spec' smooth.construct(object,data,knots) ## S3 method for class 'sf.smooth.spec' smooth.construct(object,data,knots) ## S3 method for class 'sw.smooth.spec' smooth.construct(object,data,knots)
object |
A smooth specification object as produced by a |
data |
A list or data frame containing the arguments of the smooth. |
knots |
list or data frame with two named columns specifying the knot locations within
the boundary. The column names should match the names of the arguments of the smooth. The number
of knots defines the *interior* basis dimension (i.e. it is *not* supplied via argument |
For soap film smooths the following *must* be supplied:
k the basis dimension for each boundary loop smooth.
xt$bnd the boundary specification for the smooth.
knots the locations of the interior knots for the smooth.
When used in a GAM then k
and xt
are supplied via s
while knots
are
supplied in the knots
argument of gam
.
The bnd
element of the xt
list is a list of lists (or data frames),
specifying the loops that define the boundary. Each boundary loop list must contain
2 columns giving the co-ordinates of points defining a boundary loop (when joined
sequentially by line segments). Loops should not intersect (not checked). A point is
deemed to be in the region of interest if it is interior to an odd number of boundary
loops. Each boundary loop list may also contain a column f
giving known
boundary conditions on a loop.
The bndSpec
element of xt
, if non-NULL, should contain
bs the type of cyclic smoothing basis to use: one of "cc"
and "cp"
.
If not "cc"
then a cyclic p-spline is used, and argument
m
must be supplied.
knot.space set to "even" to get even knot spacing with the "cc" basis.
m 1 or 2 element array specifying order of "cp" basis and penalty.
Currently the code will not deal with more than one level of nesting of loops, or with separate loops without an outer enclosing loop: if there are known boundary conditions (identifiability constraints get awkward).
Note that the function locator
provides a simple means for defining boundaries
graphically, using something like bnd <-as.data.frame(locator(type="l"))
,
after producing a plot of the domain of interest (right click to stop). If the real boundary is
very complicated, it is probably better to use a simpler smooth boundary enclosing the true boundary,
which represents the major boundary features that you don't want to smooth across, but doesn't follow
every tiny detail.
Model set up, and prediction, involves evaluating basis functions which are defined as the solution to PDEs. The
PDEs are solved numerically on a grid using sparse matrix methods, with bilinear interpolation used to obtain
values at any location within the smoothing domain. The dimension of the PDE solution grid can be controlled
via element nmax
(default 200) of the list supplied as argument xt
of s
in a gam
formula: it gives the number of cells to use on the longest grid side.
A little theory: the soap film smooth f(x,y) is defined as the solution of
f_xx+f_yy = g
subject to the condition that f=s, on the boundary curve, where s is a smooth function (usually a cyclic penalized regression spline). The function g is defined as the solution of
g_xx+g_yy=0
where g=0 on the boundary curve and g(x_k,y_k)=c_k at the ‘knots’ of the surface; the c_k are model coefficients.
In the simplest case, estimation of the coefficients of f (boundary coefficients plus c_k's) is by minimization of
||z-f||^2 + l_s J_s(s) + l_f J_f(f)
where J_s is usually some cubic spline type wiggliness penalty on the boundary smooth and J_f is the integral of (f_xx+f_yy)^2 over the interior of the boundary. Both penalties can be expressed as quadratic forms in the model coefficients. The l's are smoothing parameters, selectable by GCV, REML, AIC, etc. z represents noisy observations of f.
A list with all the elements of object
plus
sd |
A list defining the PDE solution grid and domain boundary, and including the sparse LU factorization of the PDE coefficient matrix. |
X |
The model matrix: this will have an |
S |
List of smoothing penalty matrices (in smallest non-zero submatrix form). |
irng |
A vector of scaling factors that have been applied to the model matrix, to ensure nice conditioning. |
In addition there are all the elements usually added by smooth.construct
methods.
Soap film smooths are quite specialized, and require more setup than most smoothers (e.g. you have to supply the boundary and the interior knots, plus the boundary smooth basis dimension(s)). It is worth looking at the reference.
Simon N. Wood<EMAIL_ADDRESS>Wood, S.N., M.V. Bravington and S.L. Hedley (2008) "Soap film smoothing", J.R.Statist.Soc.B 70(5), 931-955.
http://www.maths.bris.ac.uk/~sw15190/
require(mgcv) ########################## ## simple test function... ########################## fsb <- list(fs.boundary()) nmax <- 100 ## create some internal knots... knots <- data.frame(v=rep(seq(-.5,3,by=.5),4), w=rep(c(-.6,-.3,.3,.6),rep(8,4))) ## Simulate some fitting data, inside boundary... set.seed(0) n<-600 v <- runif(n)*5-1;w<-runif(n)*2-1 y <- fs.test(v,w,b=1) names(fsb[[1]]) <- c("v","w") ind <- inSide(fsb,x=v,y=w) ## remove outsiders y <- y + rnorm(n)*.3 ## add noise y <- y[ind];v <- v[ind]; w <- w[ind] n <- length(y) par(mfrow=c(3,2)) ## plot boundary with knot and data locations plot(fsb[[1]]$v,fsb[[1]]$w,type="l");points(knots,pch=20,col=2) points(v,w,pch="."); ## Now fit the soap film smoother. 'k' is dimension of boundary smooth. ## boundary supplied in 'xt', and knots in 'knots'... nmax <- 100 ## reduced from default for speed. b <- gam(y~s(v,w,k=30,bs="so",xt=list(bnd=fsb,nmax=nmax)),knots=knots) plot(b) ## default plot plot(b,scheme=1) plot(b,scheme=2) plot(b,scheme=3) vis.gam(b,plot.type="contour") ################################ # Fit same model in two parts... ################################ par(mfrow=c(2,2)) vis.gam(b,plot.type="contour") b1 <- gam(y~s(v,w,k=30,bs="sf",xt=list(bnd=fsb,nmax=nmax))+ s(v,w,k=30,bs="sw",xt=list(bnd=fsb,nmax=nmax)) ,knots=knots) vis.gam(b,plot.type="contour") plot(b1) ################################################## ## Now an example with known boundary condition... ################################################## ## Evaluate known boundary condition at boundary nodes... fsb[[1]]$f <- fs.test(fsb[[1]]$v,fsb[[1]]$w,b=1,exclude=FALSE) ## Now fit the smooth... bk <- gam(y~s(v,w,bs="so",xt=list(bnd=fsb,nmax=nmax)),knots=knots) plot(bk) ## default plot ########################################## ## tensor product example... ########################################## set.seed(9) n <- 10000 v <- runif(n)*5-1;w<-runif(n)*2-1 t <- runif(n) y <- fs.test(v,w,b=1) y <- y + 4.2 y <- y^(.5+t) fsb <- list(fs.boundary()) names(fsb[[1]]) <- c("v","w") ind <- inSide(fsb,x=v,y=w) ## remove outsiders y <- y[ind];v <- v[ind]; w <- w[ind]; t <- t[ind] n <- length(y) y <- y + rnorm(n)*.05 ## add noise knots <- data.frame(v=rep(seq(-.5,3,by=.5),4), w=rep(c(-.6,-.3,.3,.6),rep(8,4))) ## notice NULL element in 'xt' list - to indicate no xt object for "cr" basis... bk <- gam(y~ te(v,w,t,bs=c("sf","cr"),k=c(25,4),d=c(2,1), xt=list(list(bnd=fsb,nmax=nmax),NULL))+ te(v,w,t,bs=c("sw","cr"),k=c(25,4),d=c(2,1), xt=list(list(bnd=fsb,nmax=nmax),NULL)),knots=knots) par(mfrow=c(3,2)) m<-100;n<-50 xm <- seq(-1,3.5,length=m);yn<-seq(-1,1,length=n) xx <- rep(xm,n);yy<-rep(yn,rep(m,n)) tru <- matrix(fs.test(xx,yy),m,n)+4.2 ## truth image(xm,yn,tru^.5,col=heat.colors(100),xlab="v",ylab="w", main="truth") lines(fsb[[1]]$v,fsb[[1]]$w,lwd=3) contour(xm,yn,tru^.5,add=TRUE) vis.gam(bk,view=c("v","w"),cond=list(t=0),plot.type="contour") image(xm,yn,tru,col=heat.colors(100),xlab="v",ylab="w", main="truth") lines(fsb[[1]]$v,fsb[[1]]$w,lwd=3) contour(xm,yn,tru,add=TRUE) vis.gam(bk,view=c("v","w"),cond=list(t=.5),plot.type="contour") image(xm,yn,tru^1.5,col=heat.colors(100),xlab="v",ylab="w", main="truth") lines(fsb[[1]]$v,fsb[[1]]$w,lwd=3) contour(xm,yn,tru^1.5,add=TRUE) vis.gam(bk,view=c("v","w"),cond=list(t=1),plot.type="contour") ############################# # nested boundary example... ############################# bnd <- list(list(x=0,y=0),list(x=0,y=0)) seq(0,2*pi,length=100) -> theta bnd[[1]]$x <- sin(theta);bnd[[1]]$y <- cos(theta) bnd[[2]]$x <- .3 + .3*sin(theta); bnd[[2]]$y <- .3 + .3*cos(theta) plot(bnd[[1]]$x,bnd[[1]]$y,type="l") lines(bnd[[2]]$x,bnd[[2]]$y) ## setup knots k <- 8 xm <- seq(-1,1,length=k);ym <- seq(-1,1,length=k) x=rep(xm,k);y=rep(ym,rep(k,k)) ind <- inSide(bnd,x,y) knots <- data.frame(x=x[ind],y=y[ind]) points(knots$x,knots$y) ## a test function f1 <- function(x,y) { exp(-(x-.3)^2-(y-.3)^2) } ## plot the test function within the domain par(mfrow=c(2,3)) m<-100;n<-100 xm <- seq(-1,1,length=m);yn<-seq(-1,1,length=n) x <- rep(xm,n);y<-rep(yn,rep(m,n)) ff <- f1(x,y) ind <- inSide(bnd,x,y) ff[!ind] <- NA image(xm,yn,matrix(ff,m,n),xlab="x",ylab="y") contour(xm,yn,matrix(ff,m,n),add=TRUE) lines(bnd[[1]]$x,bnd[[1]]$y,lwd=2);lines(bnd[[2]]$x,bnd[[2]]$y,lwd=2) ## Simulate data by noisy sampling from test function... set.seed(1) x <- runif(300)*2-1;y <- runif(300)*2-1 ind <- inSide(bnd,x,y) x <- x[ind];y <- y[ind] n <- length(x) z <- f1(x,y) + rnorm(n)*.1 ## Fit a soap film smooth to the noisy data nmax <- 60 b <- gam(z~s(x,y,k=c(30,15),bs="so",xt=list(bnd=bnd,nmax=nmax)), knots=knots,method="REML") plot(b) ## default plot vis.gam(b,plot.type="contour") ## prettier version ## trying out separated fits.... ba <- gam(z~s(x,y,k=c(30,15),bs="sf",xt=list(bnd=bnd,nmax=nmax))+ s(x,y,k=c(30,15),bs="sw",xt=list(bnd=bnd,nmax=nmax)), knots=knots,method="REML") plot(ba) vis.gam(ba,plot.type="contour")


Bronn's house of Highgarden is a newly formed Great House of Westeros. It rules over the Reach, a vast, fertile, and heavily-populated region of southwestern Westeros, from their castle-seat of Highgarden as Lords Paramount of the Reach after taking control of the region from House Tyrell, following their extinction as a result of the destruction of the Great Sept of Baelor and the Sack of Highgarden.
The house was founded by Ser Bronn of the Blackwater and raised to power as fulfillment of a debt owed by Tyrion of House Lannister, the Hand of the King to the first elected king, Brandon I Stark. The sigil of the house is a flaming arrow, symbolizing Bronn's role during the Battle of the Blackwater. The official name and words of the house are unknown.
Bronn was a sellsword who first encountered Lord Tyrion Lannister when he was arrested by Catelyn Stark at the Inn at the Crossroads just prior to the War of the Five Kings.[1] Bronn was among the men who traveled with Catelyn as she brought him to her sister, Lysa Arryn, at the Eyrie in the Vale for trial,[2] and Bronn fought and won in a trial by combat for Tyrion.[3] Bronn continued to travel with and work for House Lannister, guarding Tyrion in King's Landing and fighting for him at the Battle of the Yellow Fork and the Battle of the Blackwater.[4][5] As a result for his heroism at the Battle of the Blackwater, Bronn was knighted as Ser Bronn of the Blackwater.[6]
Ser Bronn was wed to Lady Lollys Stokeworth by Cersei Lannister to strip Tyrion of any potential champions in his trial for the Purple Wedding,[7] but the arrangement was later broken by Jaime Lannister in order to enlist Bronn's aid. Bronn accompanied Jaime to Dorne in an attempt to rescue Myrcella Baratheon,[8] served Jaime at the Second Siege of Riverrun, and fought at the Battle of the Goldroad.[9] Bronn sought a castle and a noble lady as a wife, which Jaime promised him after stripping him of his chance of acquiring the rule of Castle Stokeworth.[10]
After Jaime abandoned his sister, Cersei tasked Ser Bronn with murdering her two brothers for committing treason,[11] promising to give Bronn Riverrun, but Bronn instead negotiated with the Lannister brothers at Winterfell after the Great War ended since he thought that Daenerys has a good chance of winning, threatening to kill them if they didn't follow up on their debts owed to him. Tyrion promised to make Bronn Lord of Highgarden and lord of the Reach if he spared them and they won the war, to which Bronn agreed.[12]


Defined in generated file: python/ops/gen_data_flow_ops.py
Partitions data
into num_partitions
tensors using indices from partitions
.
tf.compat.v1.dynamic_partition
tf.compat.v2.dynamic_partition
tf.dynamic_partition( data, partitions, num_partitions, name=None )
For each index tuple js
of size partitions.ndim
, the slice data[js, ...]
becomes part of outputs[partitions[js]]
. The slices with partitions[js] = i
are placed in outputs[i]
in lexicographic order of js
, and the first
dimension of outputs[i]
is the number of entries in partitions
equal to i
.
In detail,
outputs[i].shape = [sum(partitions == i)] + data.shape[partitions.ndim:] outputs[i] = pack([data[js, ...] for js if partitions[js] == i])
data.shape
must start with partitions.shape
.
# Scalar partitions. partitions = 1 num_partitions = 2 data = [10, 20] outputs[0] = [] # Empty with shape [0, 2] outputs[1] = [[10, 20]] # Vector partitions. partitions = [0, 0, 1, 1, 0] num_partitions = 2 data = [10, 20, 30, 40, 50] outputs[0] = [10, 20, 50] outputs[1] = [30, 40]
See dynamic_stitch
for an example on how to merge partitions back.
data
: A Tensor
.partitions
: A Tensor
of type int32
.
Any shape. Indices in the range [0, num_partitions)
.num_partitions
: An int
that is >= 1
.
The number of partitions to output.name
: A name for the operation (optional).A list of num_partitions
Tensor
objects with the same type as data
.


This is a portfolio website to showcase some of my work with outsystems and traditional web development.
Top Skills: Outsystems | JavaSacipt | SQL
Associate Traditional Web Developer
Associate Traditional Web Developer
Associate Traditional Web Developer


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This walkthrough is intended for new users of OICR's MISO flavour. For the original flavour, see the walkthrough here.
Tutorials By Team
These tutorials have associated worksheets, linked at the top of the tutorial. Sections to record in the worksheet are marked with a blue pencil.


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
ATS Scientific Inc.
Mailing Address:
4030 MainwayBURLINGTON, Ontario
L7M 4B9
Location Address:
4030 MainwayBURLINGTON, Ontario
L7M 4B9
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Company Profile
ATS Scientific Inc, an ISO 9001- 2008 Certified company has been a trusted source for over 25 years, providing sales, technical support and service to the Canadian Scientific Community. They offer a wide range of high quality analytical instrumentation, sample preparation & materials processing equipment fully supported by factory trained technical sales/ service representatives. Immediate delivery is available on select instrumentation and consumables.
Key advantages of doing business with ATS Scientific include:
250+ years of combined customer support
Complete bilingual support
All instruments CSA & other applicable regulations compliant
Sample submission and proof of concept services
NMSO agreement with Federal Government labs
Emergency loaner instruments available
In-house applications laboratory
On-site service/ In-house service centre
Complete bilingual support
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
Continuous Flow Ion Analyzers with Ion Chromatography Options, Potentiometric Titration Stations, Voltameters & Potentiostats, Atomic Fluorescence Direct Mercury Analyzers, UHPLC Electrochemical Detection systems for Neurotransmitters and Pharmaceuticals , Electrochemical Reaction systems for Di-sulfide bond cleavage, Electrochemical Reactors for up-front Mass Spectrometry applications, Benchtop X-Ray Fluorescence Sulfur and Chlorine Analysis of Petroleum products.
Dumas Nitrogen/ Protein High Temperature Combustion Analyzers, Handheld /Portable Raman Spectrometer Instruments.
Laser Diffraction Particle Size Analyzers, dynamic light scattering digital image analysis particle shape analyzers.
Gas Sorption Surface Area and Pore Size Analyzers, High Pressure Gas Sorption Analyzers, Gravimetric Water Sorption Analyzers, Vapor Sorption Analyzers, True Density/Skeletal Density Gas Pycnometers, Bulk/Envelope Density Analyzers, Standard Reference Materials for Pore Size and Surface Area.
Drying ovens, High Temperature Furnaces
Mixer Mills, Freezer Mills,Geno Grinders for cell lysis,Jaw Crushers, Planetary Ball Mills, Centrifugal Mills, Rotor Mills,Cross Beater Mills, Cyclone Mills, Knife Mills, Cutting Mills, Mortar Grinders, Disc Mills.
Vibratory Sieve Shakers, Air jet sieves, Sample Dividers, Sample Feeders, Sample Dryers, Pellet Presses.
Shatterboxes for Geology and Earth Science Laboratories.
Automated GPC/SPE evaporation systems meeting EPA methods 3640A and AOAC methods.
Laboratory Microwave Digestion Units, Laboratory Microwave Extraction Units, Laboratory Microwave Synthesis Units, Acid purification systems for ICP torch accessories and microwave digestion vessel cleaning. Methods compliance with USP 233 guidelines, EPA methods: 3015A, 3051A, 3052 and 3546.
Kjeldahl digestion systems meeting AOAC, EPA and ISO methods. Raw Fiber Extractors/ Cold Extractors (Preliminary high fat content extractor according to Weende, NDF/ADF according to Van Soest. Enzymatic Dietary Fiber meeting AOAC/ISO guidelines.
Homogenizing, Mixing/Milling, Pulverizing/Crushing instrumentation.
Dumas Nitrogen/ Protein high temperature combustion systems, Kjeldahl Digestion systems (suitable for AOAC, EPA, ISO methods), Enzymatic Dietary Fibre Extraction/ Filtration Unit (suitable for AOAC methods), Raw Fiber Extractors/ Cold Extractors (According to Weende, NDF/ADF and according to Van Soest).  Microwave Digestion/ Extraction Systems. Shelf life Oxidation Test Reactor.
Benchtop X-ray fluorescence Sulfur/ Chlorine Analyzers meeting ASTM D4294 and ASTMD7220.
Calibration standards for petroleum products and lubricants. Pore size and density analyzers for catalyst characterization, digital image analysis for frack sand and proppant characterization, microwave digestion and extraction with applications for fuels, polymers and oils.
Vacuum distillation apparatus ASTM D1160 (ISO 6616) for petroleum products, automated smoke point testing instrument meeting ASTM D1322, automated corrosion testing reader, automated reid vapor pressure instrument compliance with ASTM D323-B, ASTM 4953, applications for gasoline, volatile crude oil, and other volatile petroleum products. Deposit rater for jet fuel, dispersancy tester, NACE spindle corrosion tester.
Wide range of high shear benchtop and production systems microfluidizers for sterile drug nanoemulsion creation, drug nanosuspensions, drug encapsulation in liposomes. Benchtop systems for Research and Development in pharmaceuticals designed for guaranteed scaleup in production systems. Meets CGMP/ 21 CFR Part 11 compliance. Proof of concepts available and non disclosure agreements.
Laser Light Scattering Particle Size Distribution Analyzers, Handheld and Portable Benchtop Raman Spectrometers meeting CFR 21 Part 11 compliance.
Oxidation Testing Reactors
Ball Mills, Cryogenic Mills, Cutting Mills, Drying ovens, Fluid Bed Dryers, Mortar Grinders, Mixer Mills,
Microwave Digestion Systems meeting USP 232/233 protocols. Microwave Synthesis Systems.
UHPLC Electrochemical Detection systems for Antibiotic preparations and Vitamin assays.
Laser Light Scattering Particle Size Distribution Analyzers, Image Analysis and Particle Shape Measuring Equipment, Microwave Digestion Systems, Direct Mercury Atomic Fluorescence Analyzers.
Ball Mills, Cutting Mills, High Energy Ball Mills, Jaw Crushers, Mortar Grinders, Vibratory Disc Mills, Mixer Mills, Planetary Ball Mills, Pellet Presses, Sample Dividers.
Gas Sorption Surface Area and Pore Size Analyzers, High Pressure Gas Sorption Analyzers, Automatic Pycnometers, Autotap Density Analyzers, Mercury Intrusion Pore Size Analyzers, Vacuum Degassers, Chemisorption / Physisorption Gas Sorption Catalyst Analyzer, Gravimetric Water Sorption Analyzer, Water Vapor Sorption Analyzer.
High Temperature Ovens/ Furncaces
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
Continuous Flow Ion Analyzers with Ion Chromatography Options, Potentiometric Titration Stations, Voltameters & Potentiostats, Atomic Fluorescence Direct Mercury Analyzers, UHPLC Electrochemical Detection systems for Neurotransmitters and Pharmaceuticals , Electrochemical Reaction systems for Di-sulfide bond cleavage, Electrochemical Reactors for up-front Mass Spectrometry applications, Benchtop X-Ray Fluorescence Sulfur and Chlorine Analysis of Petroleum products.
Dumas Nitrogen/ Protein High Temperature Combustion Analyzers, Handheld /Portable Raman Spectrometer Instruments.
Laser Diffraction Particle Size Analyzers, dynamic light scattering digital image analysis particle shape analyzers.
Gas Sorption Surface Area and Pore Size Analyzers, High Pressure Gas Sorption Analyzers, Gravimetric Water Sorption Analyzers, Vapor Sorption Analyzers, True Density/Skeletal Density Gas Pycnometers, Bulk/Envelope Density Analyzers, Standard Reference Materials for Pore Size and Surface Area.
Drying ovens, High Temperature Furnaces
Mixer Mills, Freezer Mills,Geno Grinders for cell lysis,Jaw Crushers, Planetary Ball Mills, Centrifugal Mills, Rotor Mills,Cross Beater Mills, Cyclone Mills, Knife Mills, Cutting Mills, Mortar Grinders, Disc Mills.
Vibratory Sieve Shakers, Air jet sieves, Sample Dividers, Sample Feeders, Sample Dryers, Pellet Presses.
Shatterboxes for Geology and Earth Science Laboratories.
Automated GPC/SPE evaporation systems meeting EPA methods 3640A and AOAC methods.
Laboratory Microwave Digestion Units, Laboratory Microwave Extraction Units, Laboratory Microwave Synthesis Units, Acid purification systems for ICP torch accessories and microwave digestion vessel cleaning. Methods compliance with USP 233 guidelines, EPA methods: 3015A, 3051A, 3052 and 3546.
Kjeldahl digestion systems meeting AOAC, EPA and ISO methods. Raw Fiber Extractors/ Cold Extractors (Preliminary high fat content extractor according to Weende, NDF/ADF according to Van Soest. Enzymatic Dietary Fiber meeting AOAC/ISO guidelines.
Homogenizing, Mixing/Milling, Pulverizing/Crushing instrumentation.
Dumas Nitrogen/ Protein high temperature combustion systems, Kjeldahl Digestion systems (suitable for AOAC, EPA, ISO methods), Enzymatic Dietary Fibre Extraction/ Filtration Unit (suitable for AOAC methods), Raw Fiber Extractors/ Cold Extractors (According to Weende, NDF/ADF and according to Van Soest).  Microwave Digestion/ Extraction Systems. Shelf life Oxidation Test Reactor.
Benchtop X-ray fluorescence Sulfur/ Chlorine Analyzers meeting ASTM D4294 and ASTMD7220.
Calibration standards for petroleum products and lubricants. Pore size and density analyzers for catalyst characterization, digital image analysis for frack sand and proppant characterization, microwave digestion and extraction with applications for fuels, polymers and oils.
Vacuum distillation apparatus ASTM D1160 (ISO 6616) for petroleum products, automated smoke point testing instrument meeting ASTM D1322, automated corrosion testing reader, automated reid vapor pressure instrument compliance with ASTM D323-B, ASTM 4953, applications for gasoline, volatile crude oil, and other volatile petroleum products. Deposit rater for jet fuel, dispersancy tester, NACE spindle corrosion tester.
Wide range of high shear benchtop and production systems microfluidizers for sterile drug nanoemulsion creation, drug nanosuspensions, drug encapsulation in liposomes. Benchtop systems for Research and Development in pharmaceuticals designed for guaranteed scaleup in production systems. Meets CGMP/ 21 CFR Part 11 compliance. Proof of concepts available and non disclosure agreements.
Laser Light Scattering Particle Size Distribution Analyzers, Handheld and Portable Benchtop Raman Spectrometers meeting CFR 21 Part 11 compliance.
Oxidation Testing Reactors
Ball Mills, Cryogenic Mills, Cutting Mills, Drying ovens, Fluid Bed Dryers, Mortar Grinders, Mixer Mills,
Microwave Digestion Systems meeting USP 232/233 protocols. Microwave Synthesis Systems.
UHPLC Electrochemical Detection systems for Antibiotic preparations and Vitamin assays.
Laser Light Scattering Particle Size Distribution Analyzers, Image Analysis and Particle Shape Measuring Equipment, Microwave Digestion Systems, Direct Mercury Atomic Fluorescence Analyzers.
Ball Mills, Cutting Mills, High Energy Ball Mills, Jaw Crushers, Mortar Grinders, Vibratory Disc Mills, Mixer Mills, Planetary Ball Mills, Pellet Presses, Sample Dividers.
Gas Sorption Surface Area and Pore Size Analyzers, High Pressure Gas Sorption Analyzers, Automatic Pycnometers, Autotap Density Analyzers, Mercury Intrusion Pore Size Analyzers, Vacuum Degassers, Chemisorption / Physisorption Gas Sorption Catalyst Analyzer, Gravimetric Water Sorption Analyzer, Water Vapor Sorption Analyzer.
High Temperature Ovens/ Furncaces


{% load i18n %} {% load autocomplete_light_tags %} {% if choices %}
{% blocktrans %}Sometimes, persons have not filled their name, maybe try to search based on email addresses ?{% endblocktrans %}


Tests that JS object to node resolution still works even if script evals are prohibited by Content-Security-Policy. The test passes if it doesn't crash. Bug 78705.


Create Developer Info
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WITNESS LIST State Affairs Committee April 22, 2005 - 8:00A SB 121 ON: Boldt, Bob (UTIMCO), Austin, TX Starr, Brantley (Office of the Attorney General), Austin, TX


| Module | Test::Unit::XML |
| In: |
lib/test/unit/xml/conditionals.rb
lib/test/unit/xml/xmlequalfilter.rb lib/test/unit/xml/nodeiterator.rb lib/test/unit/xml/xml_assertions.rb |
This method checks whether two well-formed XML documents are equal. Two XML documents are considered equal if:
Nodes are tested for equality as follows:
| XML Declarations: | XML declarations are equal if they have the same version, encoding, and stand-alone pseudo-attributes. |
| Doctype: | Doctypes are equal if they fulfill all of the following conditions:
|
| Internal General Entity Declaration: | Internal General entity declarations are equal if they have the same name, and the same value. |
| External General Entity Declaration: | External general entity declarations are equal if they have the same name, and if the identifiers are of the same type (PUBLIC or SYSTEM) and have the same value. Note that if the identifiers are URLs, a comparison may fail even though both URLS point to the same resource, for example if one URL is relative and the other is absolute. |
| Notation Declaration: | Notation declarations are equal if they have the same name, and if the identifiers are of the same type (PUBLIC or SYSTEM) and have the same value. |
| Elements: | Elements are considered equal if they have the same generic identifier (tag name), belong to the same namespace, and have the same attributes. Note that the namespace prefixes of two elements may be different as long as they belong to the same namespace. |
| Attributes: | Attributes are equal if they belong to the same namespace, have the same name, and the same value. |
| Namespace Declarations: | Namespace declarations (attributes named
xmlns:prefix) are ignored. There are several reasons for
this:
|
| Processing Instructions: | Processing instructions are considered equal if the string values of their targets and contents are equal. |
| Text: | Text nodes are equal if their values are equal. However, empty text nodes, and text nodes containing only whitespace are ignored. |
| CDATA: | CDATA nodes are equal if their text content is equal. Whitespace is not normalized. |
| Comments: | Comments are equal if they have the same content. |
The expected_doc and actual_doc arguments to this method may be of the following types:
This method compares two XML documents and returns true if they are not equal, false otherwise. This is the inverse of assert_xml_equal.


Types in Microsoft.FSharp.Collections.Tagged
Public instance methods
bool Exists(FSharpFunc<T, bool> predicate)
bool ForAll(FSharpFunc<T, bool> predicate)
Evaluates to "true" if all elements of the second set are in the first
Evaluates to "true" if all elements of the first set are in the second
Tuple<Set<T, ComparerTag>, Set<T, ComparerTag>> Partition(FSharpFunc<T, bool> predicate)
T[] ToArray()
The elements of the set as an array
FSharpList<T> ToList()
The elements of the set as a list.
Public static methods
Compares a and b and returns 1 if a > b, -1 if b < a and 0 if a = b
Return a new set with the elements of the second set removed from the first.
Compares two sets and returns true if they are equal or false otherwise
Compute the intersection of the two sets.
Compute the union of the two sets.
Public properties
T Choose get;
The number of elements in the set
ComparerTag Comparer get;
Gets the comparer used for the set.
int Count get;
Return the number of elements in the set
bool IsEmpty get;
A useful shortcut for Set.isEmpty. See the Set module for further operations on sets.
T MaximumElement get;
Returns the highest element in the set according to the ordering being used for the set
T MinimumElement get;
Returns the lowest element in the set according to the ordering being used for the set


JQUERY
TEXT
FILL
I'm a jQuery plugin.
I change a font size
to fill a container.
Type something...
how to use

mark the element I'll expand

My awesome text!

Note: make sure to put the text inside of a child span and
specify the parent's width and height
initialize me
$('#my-element').textfill({
...options...
});
options
| Name | Description | Default |
|---|---|---|
| minFontPixels | Minimal font size (in pixels) | 4 |
| maxFontPixels | Maximum font size the text could resize (in pixels). For size <= 0, the text is sized to as big as the container can accommodate. | 40 |
| innerTag | The child element tag to resize. | span |
| widthOnly | only resizing for width restraint | false |
| explicitWidth | explicit width | null |
| explicitHeight | explicit height | null |
| changeLineHeight | Also change the line-height of the parent container. This might be useful when shrinking to a small container. | false |
| allowOverflow | Allows text to overflow when minFontPixels is reached. Won't fail resizing, but instead will overflow container. | false |
| debug | Output debugging messages to console | false |
callbacks
| name | called when... | default |
|---|---|---|
| success | ...resizing is successful | null |
| fail | ...resizing just failed | null |
| complete | ...resizing finished | null |


Adopt our Pets NOW!
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Today I decided to smoke some catnip. I haven't smoked anything but cigarettes in a long time, and tonight felt like one of those nights when a good bowl is in order - catnip will do for now. I drove to Kmart and got a bag of the stuff, under the pretense that it was for the cat (heh heh).
Later, at 10:00 PM, when all were sound asleep, I smoked a small bowl. I really didn't feel much, but my nose cleared, and the crap in my lungs loosened up, which I coughed out. At 10:05 I decided to smoke another, slightly larger, bowl. By this point I felt somewhat relaxed, but nothing major. As I smoked a cigarette a little later, I started to notice some things - my muscles relaxed, and I kept seeing things out of the corner of my eye. My night vision went completely down the toilet, and I tripped over a cat bowl sending cat food everywhere.
At 10:15 I went online, read my mail, and browsed sites about smoking catnip.
At 10:30, I felt rather drowsy, but I got up and smoked a huge bowl of the stuff, constantly puffing for 15 minutes or so. My night vision got even worse and I tripped over my cat, who smelled my catnip and wanted some. When the bowl was about cashed, my little brother walked outside. This freaked me out, making the drowsy feeling disappear. Luckily I was behind some laundry, so he didn't see me. I finished the bowl off, went to the upstairs porch to have a cigarette, and tripped over my ashtray sending butts and ash all over the porch floor - drowsy feeling even more gone. I sat down, and smoked cigarettes for a while. While I was doing this, I was starting to feel a good hint of a genuine high. Whenever I went into deep thought, I would unconsciously move my eyes around quickly. My limbs started to get heavy.
At 11:00 I started to get the munchies pretty bad, and went inside to have my usual munchie attire - tuna sandwiches and cheese pretzels. By the time I was done eating at 11:20, the high feeling had gone away, and the drowsy feeling turned into just dull generalized fatigue, like you get from staying up till 4 in the morning. I went back on the computer, read more mail (40 down, 200 to go). By 11:30, I felt completely sober, but a little more tired.
At 11:50 I decided to go have another bowl. I got up from the computer, and noticed my muscles were rather stiff. I smoked a decent bowl, and at 12:05 went up to have a cigarette. While I was smoking the cigarette, I started to feel a pretty decent moderate high. At 12:15 I went back to the computer to read more mail. I'm not tired anymore, and am very alert. After reading the mail my energy level goes to hell, my brain is slowing down, and I'm craving milk. At 12:35, after 5 minutes of chugging half a gallon (not kidding), I go out for my fifth bowl. I ended up coughing into the bowl, sending cherry into the air and onto my hands.
At 12:45 I sit down and smoke a cigarette, feeling very calm, content, and very tired. My night vision has come back, and I can see very well now. I've completely lost my concept of time, my only reference is my watch now. At 12:50 I go back to the computer, try to read some stuff, and realize that if I read another word my brain will overheat, causing cellular meltdown, turning my skull into something resembling the World Trade Center.
My experience with catnip has definitely been a positive one. It has similar effects to pot, minus the high. Definitely recommended for those times where pot would be good, but there's no pot around, or for stress relief, insomnia, or to clear your nose and lungs. I don't recommend it if you need get anything done, cause its hard to concentrate. Cigarettes are a must with this one - the tobacco easily doubled the effects of the catnip.
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.


git subtree
Tool to manage project dependencies as subprojects.
More information: home page
- Add a Git repository as a subtree:
git subtree add --prefix=path/to/directory/ --squash repository_url branch_name
- Update subtree repository to its latest commit:
git subtree pull --prefix=path/to/directory/ repository_url branch_name
- Merge recent changes up to the latest subtree commit into the subtree:
git subtree merge --prefix=path/to/directory/ --squash repository_url branch_name
- Push commits to a subtree repository:
git subtree push --prefix=path/to/directory/ repository_url branch_name
- Extract a new project history from the history of a subtree:
git subtree split --prefix=path/to/directory/ repository_url -b branch_name


Lead Full-stack Web & Mobile Developer
Built and maintained a social platform, that lets users easily find the best music fests, organize
their trip and personalize their festival experience.
- Created a responsive front-end web app. (in Ruby on Rails and AngularJS)
- Created a cross-platform mobile app. (in Ionic Framework for Android and iOS).
- Developed unit and end-to-end tests for both front-end and back-end.
- Wrote automatic synchronizations with remote APIs, that e.g. parse user's friendships, favourite
music artists and festivals from multiple services. (e.g. Facebook, LastFM, Spotify)
- Developed a full-text search using Elasticsearch, with various filters and a custom suggestion
system based on the user's own personal music taste.
- Maintained automatic horizontal scaling of the web servers' infrastracture using Chef.


We will have a potluck for both the light dinner on Saturday and brunch on Sunday. Please bring as much prepared food as possible since access to the kitchen will be limited. For the light dinner please no meat, dairy, or anything that will unsettle the stomach.
On the left is a list of foods people are already bringing. Try to choose something not yet on the list so we don't end up with a bunch of kale and eggs! If for some reason you are running late and didn't have time to buy food, don't despair! There is a great grocery store nearby with basic organic produce. For any specialty items however, making your purchases in the city ahead of time is your best bet (Tops Friendly Market NY-32, Greenville, NY 12083).


|
ML-Agents Toolkit
v0.4
|
Struct that contains all the information for an Agent, including its observations, actions and current status, that is sent to the Brain. More...
Public Member Functions | |
| CommunicatorObjects.AgentInfoProto | ToProto () |
| Converts a AgentInfo to a protobuffer generated AgentInfoProto More... | |
Public Attributes | |
| List< float > | vectorObservation |
| Most recent agent vector (i.e. More... | |
| List< float > | stackedVectorObservation |
| The previous agent vector observations, stacked. More... | |
| List< Texture2D > | visualObservations |
| Most recent agent camera (i.e. More... | |
| string | textObservation |
| Most recent text observation. More... | |
| float[] | storedVectorActions |
| Keeps track of the last vector action taken by the Brain. More... | |
| string | storedTextActions |
| Keeps track of the last text action taken by the Brain. More... | |
| bool[] | actionMasks |
| For discrete control, specifies the actions that the agent cannot take. More... | |
| List< float > | memories |
| Used by the Trainer to store information about the agent. More... | |
| float | reward |
| Current agent reward. More... | |
| bool | done |
| Whether the agent is done or not. More... | |
| bool | maxStepReached |
| Whether the agent has reached its max step count for this episode. More... | |
| int | id |
| Unique identifier each agent receives at initialization. More... | |
| CustomObservation | customObservation |
| User-customizable object for sending structured output from Unity to Python in response to an action in addition to a scalar reward. More... | |
Struct that contains all the information for an Agent, including its observations, actions and current status, that is sent to the Brain.
| CommunicatorObjects.AgentInfoProto ToProto | ( | ) |
| bool [] actionMasks |
For discrete control, specifies the actions that the agent cannot take.
Is true if the action is masked.
| CustomObservation customObservation |
User-customizable object for sending structured output from Unity to Python in response to an action in addition to a scalar reward.
| bool done |
Whether the agent is done or not.
| int id |
Unique identifier each agent receives at initialization.
It is used to separate between different agents in the environment.
| bool maxStepReached |
Whether the agent has reached its max step count for this episode.
| List<float> memories |
Used by the Trainer to store information about the agent.
This data structure is not consumed or modified by the agent directly, they are just the owners of their trainier's memory. Currently, however, the size of the memory is in the Brain properties.
| float reward |
Current agent reward.
| List<float> stackedVectorObservation |
The previous agent vector observations, stacked.
The length of the history (i.e. number of vector observations to stack) is specified in the Brain parameters.
| string storedTextActions |
Keeps track of the last text action taken by the Brain.
| float [] storedVectorActions |
Keeps track of the last vector action taken by the Brain.
| string textObservation |
Most recent text observation.
| List<float> vectorObservation |
Most recent agent vector (i.e.
numeric) observation.
| List<Texture2D> visualObservations |
Most recent agent camera (i.e.
texture) observation.


category: '' date: 2022-08-21 20:14:39 UTC-06:00 description: '' link: '' slug: mapreduce tags: '' title: MapReduce type: text
Write your post here.


Whether to use SSO cookie to control user session lifetime (in addition to REST
API authentication)? Note that using SSO requires both Crowd and Jenkins
servers to be in the same domain. If you have servers in different domain, you
have to disable this setting to make authentication work.
Crowd overview documentation


Stonebwoy Wins 3 Awards At The 2019 Ghana Music & Arts Awards Europe (+Full List Of Winners)
by BB JonesSonebwoy won 3 awards at the 2019 Ghana Music & Arts Awards Europe.
The Bhim Nation boss won the Collaboration of the Year with his Kpo K3k3 song, Reggae/Dancehall Song of the Year as well as Reggae/Dancehall Artiste of The Year.
The maiden edition of the Ghana Music & Arts Awards Europe 2019 was held in Amsterdam, the Netherlands.
The Ghana Music & Arts Awards Europe is designed to celebrate our Rich Ghanaian Culture Coupled with Rewarding Excellence in our Music and Arts Industry in Europe.
See below for full winners;
Artiste Of The Year : Kuami Eugene
Best African Act: Burna Boy (Nigeria)
Best Rapper Of The Year: Medikal – How Much Rmx
Best New Artiste Of The Year: Wendy Shay
Most Popular Song Of The Year: Do The Dance- Eddie Khae
Producer/Sound Engineer Of The Year: Guilty Beatz
Gospel Artiste Of The Year: Diana Hamilton
Hiplife Artiste Of The Year: Medikal
Afro-Pop/Afro-Beat Artiste Of The Year: King Promise
Highlife Artiste Of The Year: Kuami Eugene
Reggae/Dancehall Artiste Of The Year: Stonebwoy
Hiplife Song Of The Year: Obiaa Wo Ne Master – Yaa Pono Ft. Stonebwoy
Highlife Song Of The Year Wish Me Well- Kuami Eugene
Afro-Pop Song Of The Year: Akwaaba- Guilty Beatz Ft Mr.Eazi, Patapaa & Pappy Kojo
Reggae/Dancehall Song Of The Year: Shuga – Stonebwoy Ft Beenie Man
Gospel Song Of The Year – Mo Ne Yo – Diana Hamilton
Best Music Group Of The Year: Dope Nation
Best Music Video Of The Year: Gringo – Shatta Wale
Collaboration Of The Year: Kpoo keke – Stonebwoy Ft. Kwesi Arthur, Medikal,Darkovibes, And Kelvyn Boy
Album Of The Year: Matters Of The Heart – Akwaboah
Radio Presenter Of The Year: Giovani Caleb – 3fm
Tv Presenter Of The Year: Nana Aba Anamoah – Ghone
Europe Based Radio/Tv Personality Of The Year: Jerry Jay (Hi Radio- Amsterdam)
Best Dj Of The Year: Dj Vyrusky
Europe Based Dj Of The Year: Dj Clenarie (France)
Best Actress Of The Year: Ama K Abebrese
Best Actor Of The Year: Akrobeto
Movie Director Of The Year: Kwabena Gyansah (Azali)
Best Ghanaian Comedian Of The Year: Dkb
Europe Based Event Of The Year: Ghana Music Awards Uk
Europe Based Artiste Of The Year: Bizzy Salifu (Belgium)
Gmaae Rising Star Award: Dj Zel Special Awards
Instrumentalist Of The Year: Mizter Okyere
Tourism Promoter Of The Year: Gilbert Abeiku Aggrey Santana
Entertainment Friendly Organization Of The Year: Kasapreko Company Limited
Made In Ghana Production Company Of The Year: Kantanka Automobile Company
Limited Posthumous Award
The Late Mac Tonto And Kiki Gyan Of Osibisa Fame
The Late Terry Bonechaka
The Late Ronny Coaches Of Buk Bak Fame
The Late Ebony Reigns


Represents a template archetype (namely a template used to generate other templates that can then be customized)
The Scalate development console
Helper snippets for creating the console
Defines the default representations to be used on resources
Parameters to create a JAXRS resource template


I'm Angela and I am looking to do some pro bono website creation or editing to gain experience and content for my professional portfolio. As a Junior Web Developer, I am still learning and perfecting my coding skills and I am enjoying it immensely. I especially love making the webpages beautiful and one-of-a-kind. If you are in need of a new website, an updated version, or would like to see what I can create for you, either personally or professionally, please contact me! At the end of the project, I would like to display (with your permission of course) my work on a professonal portfolio website for future clients or employers to view. Thank you
The Complete 2020 Web Development Bootcamp
By Angela Yu. Certificate received May 2020.
Harvard University - CS50 - Intro to Computer Science
Certificate received May 2020.
and many more!


To start our creative journey, please fill in as many details as possible in the form below.
We will get back to you shortly.
Please don't be shy, we don't bite.


--- navigation: - title: Tour category: tour path: /tour - title: Showcase category: showcase class: showcase path: /showcase - title: Blog category: blog path: /blog - title: Plans category: plans class: plans path: /plans footer: mapbox: - title: Tour path: /tour - title: Showcase path: /showcase - title: About path: /about - title: Plans path: /plans - title: Premium path: /plans/premium - title: Jobs path: /jobs - title: Status path: http://mapbox.com/status resources: - title: Help path: /help - title: Developers path: /developers tools: - title: TileMill path: /tilemill - title: Maki path: /maki ---
{% if page.description %}{% endif %}


--- layout: about ---
My name is Rob and I live in Portland, Oregon with my wife Joanna, daughter Ada, and cat Chicken. I am interested in alpine climbing and functional programming, but not really done much climbing since Ada was born. I have also been eating a lot of cookies, so if you want to climb Nanga Parbat I will need some time to train first.
I write software for the Gemini Observatory, mostly involving tools that astronomers use to plan and execute science observations. It is a fun job, and I am not looking for work. If you are a recruiter please leave me alone.
The name tpolecat is borrowed from a friend of mine who always signed up for online stuff as Tangley Polecat to better identify spam, and several others of us followed suit. I was unsure when joining Twitter and other such things so I used the fake name and somehow it has stuck.
If you wish to contact me, please find me on Twitter or GitHub or on IRC (the #scala
channel on FreeNode is a good bet). I am not on LinkedIn or Facebook.


Giants put Shepard back in concussion protocol, out Monday
by The Associated PressEAST RUTHERFORD, N.J. (AP) — The New York Giants have placed wide receiver Sterling Shepard back in the concussion protocol, ruling him out of their game against Dallas on Monday night.
The Giants (2-6) made the announcement on Sunday afternoon about Shepard, who had just been cleared on Friday and deemed able to play against the NFC East-leading Cowboys (4-3). Shepard missed the past three games after suffering a concussion on Oct. 6 against Minnesota, his second such injury of the season after also experiencing symptoms after the season opener at Dallas. He was held out the following week and returned to action on Sept. 22 against Tampa Bay.
According to Giants coach Pat Shurmur, Shepard told head athletic trainer Ronnie Barnes on Saturday night that he wasn’t feeling well and was sent for further examination. His condition didn’t improve on Sunday, prompting the team to sideline him again.
The 26-year-old Shepard told reporters on Friday about how much he’s learned about handling head injuries, expressing excitement about returning to action. The fourth-year player has 25 receptions for 267 yards in less than four full games.
___
More AP NFL coverage: https://apnews.com/NFL and https://twitter.com/AP_NFL
The Associated Press


Home > Overview > User Interface >
If an XML schema is provided for validation then this same schema is also used to provide intellisense. For example, if your schema defines an <xsd:choice> between the elements "fruit", "vegetable" and "berry", then when you insert a new node at this location you will be prompted with those choices as shown below:
Similarly, if your schema defines a simpleType with a list of <xsd:enumeration> facets, then this list of valid values is prompted when you edit the node value as follows:
Then as you type the item matching the letters you have typed so far will be automatically selected in the drop down list and when you type ENTER the selected item is copied to your edit field and the intellisense selection is finished which saves you from having to type the whole string in manually. This can result in much more efficient editing of XML documents.
Microsoft XML Notepad also supports special custom editors for well known data types like date, time and color.


Because if you put some code in your blog, you would at least make it:
- Searchable
- Good-looking
Search on code
Search should be working even for complicated escape symbols.
sed -i 's/\"hostname\"\:.*$/\"hostname\"\: \"'$IPADDR'\"\,/g' open-falcon/agent/config/cfg.json
Or try searching for partial of a command, like this article should be returned when looking for “find grep”
find /etc -type f -exec cat '{}' \; | tr -c '.[:digit:]' '\n' | grep '^[^.][^.]*\.[^.][^.]*\.[^.][^.]*\.[^.][^.]*$'
Code highlighting examples
Because you might put code in your blog post, and you want to make sure it will look good in here. Plus that the search function will still be working!
Java
java example
import java.util.*;
@Example
public class Demo {
private static final String CONSTANT = "String";
private Object o;
/**
* Creates a new demo.
* @param o The object to demonstrate.
*/
public Demo(Object o) {
this.o = o;
String s = CONSTANT + "Other example of text";
int i = 123 - 33 % 11;
}
public static void main(String[] args) {
Demo demo = new Demo();
System.out.println(demo.o.toString())
}
}
HTML
html example
<!DOCTYPE html>

This is an example

Javascript
/**
* Does a thing
*/
function helloWorld(param1, param2) {
var something = 0;
// Do something
if (2.0 % 2 == something) {
console.log('Hello, world!');
} else {
return null;
}
// @TODO comment
}
Python
import os
def some_function(param_one="", param_two=0):
r'''A docstring'''
if param_one > param_two: # interesting
print("Greater")
return (param_two - param_one + 1 + 0b10) or None
class SomeClass:
""" dunno what I am doing """
def __init__(self):
pass
YAML
You can also render some yaml, like this _config.yml
:
# Welcome to Jekyll!
#
# This config file is meant for settings that affect your whole blog, values
# which you are expected to set up once and rarely edit after that. If you find
# yourself editing this file very often, consider using Jekyll's data files
# feature for the data you need to update frequently.
#
# This file, "_config.yml" is *NOT* reloaded automatically when you use
# 'bundle exec jekyll serve'. If you change this file, please restart the server process.
# Site settings
# These are used to personalize your new site. If you look in the HTML files,
# you will see them accessed via Type on Strap, , and so on.
# You can create any custom variable you would like, and they will be accessible
# in the templates via .
# SITE CONFIGURATION
baseurl: "/Type-on-Strap"
url: "https://sylhare.github.io"
# THEME-SPECIFIC CONFIGURATION
title: Type on Strap # site's title
description: "A website with blog posts and pages" # used by search engines
avatar: assets/img/triangle.png # Empty for no avatar in navbar
favicon: assets/favicon.ico # Icon displayed in the tab
remote_theme: sylhare/Type-on-Strap # If using as a remote_theme in github
Mermaid
Diagrams with mermaid.
Here is a simple example using:

sequenceDiagram
Alice->>John: Hello John, how are you?
John-->>Alice: Great!

That will be rendered into this:
You can also go with more complex features and diagrams from the documentation:
sequenceDiagram
participant Alice
participant Bob
Alice->>John: Hello John, how are you?
loop Healthcheck
John->>John: Fight against hypochondria
end
Note right of John: Rational thoughts
prevail! John-->>Alice: Great! John->>Bob: How about you? Bob-->>John: Jolly good!
prevail! John-->>Alice: Great! John->>Bob: How about you? Bob-->>John: Jolly good!


nips nips2012 nips2012-247 nips2012-247-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Rina Foygel, Michael Horrell, Mathias Drton, John D. Lafferty
Abstract: We propose an approach to multivariate nonparametric regression that generalizes reduced rank regression for linear models. An additive model is estimated for each dimension of a q-dimensional response, with a shared p-dimensional predictor variable. To control the complexity of the model, we employ a functional form of the Ky-Fan or nuclear norm, resulting in a set of function estimates that have low rank. Backﬁtting algorithms are derived and justiﬁed using a nonparametric form of the nuclear norm subdifferential. Oracle inequalities on excess risk are derived that exhibit the scaling behavior of the procedure in the high dimensional setting. The methods are illustrated on gene expression data. 1
[1] Nicol` Cesa-Bianchi and G´ bor Lugosi. On prediction of individual sequences. The Annals of o a Statistics, 27(6):1865–1894, 1999.
[2] Maryam Fazel. Matrix rank minimization with applications. Technical report, Stanford University, 2002. Doctoral Dissertation, Electrical Engineering Department.
[3] D. Marbach, J. C. Costello, R. K¨ ffner, N. Vega, R. J. Prill, D. M. Camacho, K. R. Allison, u the DREAM5 Consortium, M. Kellis, J. J. Collins, and G. Stolovitzky. Wisdom of crowds for robust gene network inference. Nature Methods, 9(8):796–804, 2012.
[4] Sahan Negahban and Martin J. Wainwright. Estimation of (near) low-rank matrices with noise and high-dimensional scaling. Annals of Statistics, 39:1069–1097, 2011.
[5] Garvesh Raskutti, Martin J. Wainwright, and Bin Yu. Minimax-optimal rates for sparse additive models over kernel classes via convex programming. arxiv:1008.3654, 2010.
[6] Pradeep Ravikumar, John Lafferty, Han Liu, and Larry Wasserman. Sparse additive models. Journal of the Royal Statistical Society, Series B, Methodological, 71(5):1009–1030, 2009.
[7] Benjamin Recht, Maryam Fazel, and Pablo A. Parrilo. Guaranteed minimum rank solutions to linear matrix equations via nuclear norm minimization. SIAM Review, 52(3):471–501, 2010.
[8] Roman Vershynin. How close is the sample covariance matrix to the actual covariance matrix? arxiv:1004.3484, 2010.
[9] G. A. Watson. Characterization of the subdifferential of some matrix norms. Linear Algebra and Applications, 170:1039–1053, 1992.
[10] Ming Yuan, Ali Ekici, Zhaosong Lu, and Renato Monteiro. Dimension reduction and coeffcient estimation in multivariate linear regression. J. R. Statist. Soc. B, 69(3):329–346, 2007.
[11] Ming Yuan and Yi Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 68(1):49–67, 2006. 9


Array
struct Array<Element> : RandomAccessCollection, MutableCollection
-
Get a sub array from range of index
Declaration
Swift
public func get(at range: ClosedRange<Int>) -> Array
-
Checks if array contains at least 1 item which type is same with given element’s type
Declaration
Swift
public func containsType<T>(of element: T) -> Bool
-
Decompose an array to a tuple with first element and the rest
Declaration
Swift
public func decompose() -> (head: Iterator.Element, tail: SubSequence)?
-
Iterates on each element of the array with its index. (Index, Element)
Declaration
Swift
public func forEachEnumerated(_ body: @escaping (_ offset: Int, _ element: Element) -> Void)
-
Gets the object at the specified index, if it exists.
Declaration
Swift
public func get(at index: Int) -> Element?
-
Prepends an object to the array.
Declaration
Swift
public mutating func insertFirst(_ newElement: Element)
-
Returns a random element from the array.
Declaration
Swift
public func random() -> Element?
-
Reverse the given index. i.g.: reverseIndex(2) would be 2 to the last
Declaration
Swift
public func reverseIndex(_ index: Int) -> Int?
-
Shuffles the array in-place using the Fisher-Yates-Durstenfeld algorithm.
Declaration
Swift
public mutating func shuffle()
-
Shuffles copied array using the Fisher-Yates-Durstenfeld algorithm, returns shuffled array.
Declaration
Swift
public func shuffled() -> Array
-
Returns an array with the given number as the max number of elements.
Declaration
Swift
public func takeMax(_ n: Int) -> Array
-
Checks if test returns true for all the elements in self
Declaration
Swift
public func testAll(_ body: @escaping (Element) -> Bool) -> Bool
-
Checks if all elements in the array are true or false
Declaration
Swift
public func testAll(is condition: Bool) -> Bool
-
Lookup value within array with check closure
Declaration
Swift
public func lookup(_ check: (Element) -> Bool) -> Element?
Parameters
check
Check element closure
Return Value
Found element when founded or nil, when not
-
Transform Array to Dictionary
Declaration
Swift
public func map<K, V>(_ transform: (Element) -> (key: K, value: V)) -> [K: V]
Parameters
transform
Transform closure
Return Value
Result dictionary
-
Transform Array to Dictionary (without nil transforms)
Declaration
Swift
public func mapSkipNil<K, V>(_ transform: (Element) -> (key: K, value: V)?) -> [K: V]
Parameters
transform
Transform closure
Return Value
Result dictionary
-
Transform Array (without nil transforms)
Declaration
Swift
public func mapSkipNil<V>(_ transform: (Element) -> V?) -> [V]
Parameters
transform
Transform closure
Return Value
Result array
-
Check element existance
Declaration
Swift
public func exists(_ check: (Element) -> Bool) -> Bool
Parameters
check
Check closure
Return Value
True when exists, false when not
-
Remove first founded object from the array, that equals to scecified object (see Equatable protocol)
Declaration
Swift
public mutating func removeObject<U: Equatable>(_ object: U) -> Bool
Parameters
object
Object to remove
-
Checks if the main array contains the parameter array
Declaration
Swift
public func contains(_ array: [Element]) -> Bool
-
Checks if self contains a list of items.
Declaration
Swift
public func contains(_ elements: Element...) -> Bool
-
Returns the indexes of the object
Declaration
Swift
public func indexes(of element: Element) -> [Int]
-
Returns the last index of the object
Declaration
Swift
public func lastIndex(of element: Element) -> Int?
-
Removes the first given object
Declaration
Swift
public mutating func removeFirst(_ element: Element)
-
Removes all occurrences of the given object(s), at least one entry is needed.
Declaration
Swift
public mutating func removeAll(_ firstElement: Element?, _ elements: Element...)
-
Removes all occurrences of the given object(s)
Declaration
Swift
public mutating func removeAll(_ elements: [Element])
-
Difference of self and the input arrays.
Declaration
Swift
public func difference(_ values: [Element]...) -> [Element]
-
Intersection of self and the input arrays.
Declaration
Swift
public func intersection(_ values: [Element]...) -> Array
-
Union of self and the input arrays.
Declaration
Swift
public func union(_ values: [Element]...) -> Array
-
Returns an array consisting of the unique elements in the array
Declaration
Swift
public func unique() -> Array
-
Removes all occurrences of the given object(s)
Declaration
Swift
public mutating func removeAll(_ elements: [Element])


L. A. CONFIDENTIAL A film review by Mark R. Leeper
Capsule: This is a dense, complex, multi- layered crime story that may just be one of the best films of its kind ever made. Great dialogue, very good plot, great characters, good musical score, great photography. This is one of the most engaging film script we have seen in a while. This is a film to rank with THE MALTESE FALCON and CHINATOWN among the best of the crime. Rating: +3 (-4 to +4), 9 (0 to 10). New York Critics: 27 positive, 0 negative, 0 mixed
They are almost a genre by themselves, Los Angeles and San Francisco crime dramas. Set in the short space of time around the World War II are the Philip Marlowe, Easy Rawlins, Sam Spade and a host of others. Ranking with the best of them and inviting comparison to CHINATOWN (which it may even beat) is L. A. CONFIDENTIAL. Curtis Hanson who also directed THE HAND THAT ROCKS THE CRADLE and THE RIVER WILD has given us a rich adaptation of the James Ellroy novel, directing and co- authoring the screenplay with Helgeland. He has retained a complex interconnected plot, but rarely a bewildering one-- not an easy thing to do. In it Los Angeles is a completely interconnected ecosystem of police, organized crime, small-time crime, race, politics, TV, movies, law, and journalism. There is a second system interconnecting idealism, bigotry, lies, half-lies, blackmail, posturing, cover-ups, frame-ups, delusions, and publicity. It is impossible to give a decent description of the plot in one or two paragraphs as the film has enough plot for two or three films. At 136 minutes, L. A. CONFIDENTIAL can pack in this much plot only because nothing is wasted.
Against the backdrop of a 1953 Los Angeles rotting from within we have the story of three cops. Each an idealist in certain ways but willing to get his hands dirty for his principles. Bud White (played by Russell Crowe) has a personal crusade against men who beat women. He also believes in the code of silence protecting other cops who break the law. His captain, Dudley Smith (James Cromwell) figures that make White not very smart and uses him for muscle and for semi-legal activities of keeping mobsters out of Los Angeles. Almost precisely the opposite is Ed Exley (Guy Pearce). Exley loves the letter of the law and sees no reason to be loyal to other cops, but he also wants to climb the ladder and to get all the glory he can gather. The third cop is Sgt. Jack Vincennes. He gets his kicks being the police expert for TV's "Badge of Honor" (a thinly disguised "Dragnet"). He like hobnobbing with celebrities and with people like Sid Hudgeons (Danny DeVito) the editor for the oxymoronically-named "Hush-Hush" true crime magazine. The three cops get involved with a movie-star look-alike prostitution ring run by suave Pierce Patchett (David Strathairn) and particularly his Veronica Lake look-alike Lynn Bracken (Kim Bassinger). A friend of hers gets herself murdered in a six-victim massacre at the Nite Owl Coffee shop.
One nearly wants to call the execution of this film flawless. The dialogue is crisp and ironic. The script is tightly written with not a single scene wasted or unimportant. This is not a film that leaves you a safe moment to go out for popcorn. The characters are finely defined. No two are interchangeable. Eventually we understand each and why he does what he does. If the film does anything superficially it is in its explanation of why Exley is such a straight-arrow and why White so hates men who beat women. But the visuals really capture the period. (One minor error in period: the film shows the premiere of the film WHEN WORLDS COLLIDE. That would have been in 1951, George Pal's follow-up WAR OF THE WORLDS was released in 1953.) Jerry Goldsmith has written a jazzy score with the feel of a 1950s film.
It is amazing how much is packed even into a film of 136 minutes and into what a neat package the pieces fit. Be prepared to sit through the entire film, there is not a single scene wasted and few scenes the film can function without. I give the film a +3 on the -4 to +4 scale. Objectively this film probably ranks with CHINATOWN and THE MALTESE FALCON.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 1997 Mark R. Leeper
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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?FLORA
OF
JAMAICA
Lasiaois
sorghoidea
(DesvČ)
Hitch
Botanical
Name:
New
York
Botanical
Garden
Vernacular
Name;
Bills
Mountain,
Caymanas
Locality:
IbSTflGb
St*
Catherine
Parish:
Date:
Deo.
1954
Altitude:
Habitat:
Notes:
BOTANICAL
No.
2222
dup
ident:G.
F.
Aspre
y
DEPAUW
UNIV
HERBARIUM.
Collector:
1659806
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Preparation time
over 2 hours
Cooking time
10 to 30 mins
Serves
Makes 2 loaves
Dietary
In a bowl dissolve the sugar and yeast in the brown ale and set aside for 5-6 minutes.
Mix the bread flour, the wholemeal flour, cheddar, parmesan, powdered milk, salt, mustard powder, eggs and fennel seeds in a large mixing bowl. Add the yeast and beer mixture and mix well with your hands until the mixture forms a soft dough.
Using floured hands, knead the dough on a clean, floured work surface for 20-25 minutes until smooth and elastic. If the dough becomes too dry add a little warm water.
Divide the dough into two loaves and place them onto a large baking tray. Using a sharp knife, score the top of the loaves with a criss-cross pattern. Cover with a clean damp tea towel and leave for two hours in a warm, dry and draught-free place, until the dough has risen and doubled in size.
Preheat the oven to 200C/400F/Gas 6. When the loaves have expanded, brush each with the egg white.
Transfer the loaves to the oven and bake for 25-30 minutes, or until the bread has cooked through and the crust is golden-brown.
To serve, slice the loaves and serve with a big bowl of soup.


ROMEO AND JULIET A film review by Mike Joyce Copyright 1997 Mike Joyce
When I first heard that Romeo & Juliet had been "updated" I shuddered. I thought that yet another of Shakespeare's classics had been destroyed. Fortunately, I was wrong. Baz Luhrman has directed an "in your face", and visually stunning piece with this film. It revolves around the two rival families, who in this version each run multi-million dollar enterprises. These rival companies/families are the Capulet's and the Montague's. The younger generation of these two families have formed gangs, who despise one another. As the storylines goes, Romeo Montague (played by Leonardo DiCaprio) and Juliet Capulet (Claire Danes) meet at a fancy dress party, and it is love at first site. I never believed love at first site was possible until I saw this film, the scene in which Romeo's eyes meet Juliet's through the fish tank is one of the most memorable. Of course, they cannot publicly reveal their love, for their families are arch enemies. So they marry in secret, this is where things begin to go wrong. The story, as with all good Shakespeare, ends in tragedy.
The cinematography is spectacular to say the least, and the soundtrack provides the perfect atmosphere in which to "lay our scene", as the film says. There is very little to criticise. The performances are convincing, and several of the film's younger stars may find that it provides a launch for their careers. The modernisation of the script is ingenious and clever. Despite the well known storyline, this latest version still manages to cause tears among many members of the audience (especially the younger generation), and this is certainly a great credit to the film.
5 out of 5
Film review by Adam Joyce. Please visit Movie Mania at http://www.home.aone.net.au/joyce/adamframe.htm
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Romania's President Iohannis wins re-election
by ReutersRomania's centrist President Klaus Iohannis easily won a presidential runoff vote on Sunday as expected, crushing his socialist challenger on a pledge to restart a judicial reform slowed down by successive Social Democrat (PSD) governments.
An exit poll conducted by IRES pollster showed Iohannis garnered 66.5% of votes followed by Dancila with 33.5%. Another pollster, CURS-Avangarde showed Iohannis winning with 64%.


<IP_ADDRESS> Standard Order of Terms
These predicates use a standard total order when comparing terms. The
standard total order is:
- Variables, by age (oldest first—the order is not related
to the names of variables).
- Floats, in numeric order (e.g. -1.0 is put before 1.0).
- Integers, in numeric order (e.g. -1 is put before 1).
- Atoms, in alphabetical (i.e. character code) order.
- Compound terms, ordered first by arity, then by the name of
the principal functor, then by age for mutables and by the
arguments in left-to-right order for other terms. Recall
that lists are equivalent to compound terms with principal
functor
./2
.
For example, here is a list of terms in standard order:
[ X, -1.0, -9, 1, fie, foe, X = Y, foe(0,2), fie(1,1,1) ]
Please note: the standard order is only well-defined for finite (acyclic)
terms. There are infinite (cyclic) terms for which no order
relation holds. Furthermore, blocking goals
(see ref-sem-sec) on variables or modifying their attributes
(see lib-atts) does not preserve their order.
The predicates for comparison of terms are described below.
- +T1
==
+T2 - T1 and T2 are
literally identical (in particular, variables in equivalent positions in
the two terms must be identical).
- +T1
\==
+T2 - T1 and T2 are
not literally identical.
- +T1
@<
+T2 - T1 is before term T2 in the standard order.
- +T1
@>
+T2 - T1 is after term T2
- +T1
@=<
+T2 - T1 is not after term T2
- +T1
@>=
+T2 - T1 is not before term T2
compare(
-Op,
+T1,
+T2)
- the result of comparing terms T1 and T2 is Op, where
the possible values for Op are:
=
- if T1 is identical to T2,
<
- if T1 is before T2 in the standard order,
>
- if T1 is after T2 in the standard order.
Send feedback on this subject.


Creating TypeScript Declaration Files
and Contributing to DefinitelyTyped
or
What to Do
When TypeScript goes wrong
Joe Skeen
Intermountain Healthcare
Currently
in top 100
contributor to DefinitelyTyped (of over 2300)
TypeScript Usually Just Works
Once you get it set up
Cases Where Typings May Be Wrong
Typings are wrong (contradict the documentation)
Typings are incomplete (missing documented functionality or options)
Typings aren't exposing something you need (like an options interface)
No typings exist
Examples
Incorrect
https://github.com/DefinitelyTyped/DefinitelyTyped/pull/6156/files
Incomplete
https://github.com/ivogabe/gulp-typescript#options
https://github.com/Microsoft/TypeScript/wiki/What%27s-new-in-TypeScript#new---skiplibcheck
Not Exposed
https://github.com/klei/gulp-inject
Nonexistant
https://github.com/miickel/gulp-angular-templatecache
How to Fix This
Identify the source of the error
lib.d.ts
- Microsoft/TypeScript project
Bundled Typings - Respective Project (comes with NPM package)
External Typings -
DefinitelyTyped
,
Typings Registry
,
Typed Typings
Fix it
Submit pull request(s)
DefinitelyTyped
A great example of an open-source community
How to contribute
Log into GitHub (or create an account)
Fork DefinitelyTyped and clone
Make fixes
Write tests
Test the fixes with
npm test
Push your changes to the fork
Set up Travis build
https://travis-ci.org/
Open a pull request
DefinitelyTyped Contribution Guide
Let's do this!
Add an option to the gulp-typescript option
https://github.com/ivogabe/gulp-typescript#options
https://github.com/Microsoft/TypeScript/wiki/What%27s-new-in-TypeScript#new---skiplibcheck
Expose Options interface on gulp-inject
https://github.com/klei/gulp-inject
Create definitions for gulp-angular-templatecache
https://github.com/miickel/gulp-angular-templatecache
If at first you don't succeed...
Now it's your turn!
Slides:
joeskeen.github.io/dts-OpenWest2016
Review this talk:
https://joind.in/talk/bf5d7
More Resources
Example code:
github.com/joeskeen/ngExamples
(mars-ts folder)
Official Declaration File Authoring Guide (TypeScript 2.0 Version of TypeScript Handbook)
TypeScript Handbook (where the above guide will someday be published)
DefinitelyTyped Contriubution Guide
'Typings' Contribution Guide (for the Typings Registry)
OpenWest Conference 2016
July 13-16 2016
South Towne Expo Center


Before Change
Setup the USPS platform.
import myusps
try:
cookie = hass.config.path(COOKIE)
session = myusps.get_session(
config.get(CONF_USERNAME), config.get(CONF_PASSWORD),
cookie_path=cookie)
except myusps.USPSError:
_LOGGER.exception("Could not connect to My USPS")
return False
After Change
def setup_platform(hass, config, add_devices, discovery_info=None):
Setup the USPS platform.
if discovery_info is None:
return
usps = hass.data[DATA_USPS]
add_devices([USPSPackageSensor(usps),
USPSMailSensor(usps)], True)


Locations
The Toronto studio is located on Yonge Street (south of Eglinton Avenue and north of Davisville Avenue). It is minutes away from the Eglinton subway station and Davisville subway station.
The North York studio is located off of Sheppard Avenue West (east of Jane Street and west of Keele Street). The North York studio is just a short drive from the Downsview subway station.
Studios and Waiting Areas
Spacious and Fully Equipped Music Studios
Multiple Digital Pianos, Speakers, Mixers, Microphones, Computers, Variety of Instruments, Recording Devices, and Recording Software.
Both Studio Locations are kept clean and have air conditioning, windows for natural light, and free Wi-fi.
Both Studio Locations have a comfortable waiting area for students and parents.
The North York Studio has a television for waiting room viewing and free coffee.


You can go into the development route to learn more about development tasks and future planning.
Preparations
Before contributing any code, we need to know how to use the Git tool and the GitHub website.
- For the use of git tools, refer to official books on git and get familiarized by reading the first few chapters.
- For the git collaboration process, refer to the article named Git Collaboration Process.
GitHub Code Contribution Process
Submitting an issue
No Matter whether you are fixing a Jarslink bug or adding a Jarslink feature, submit an issue on the Jarslink GitHub address to describe the bug you are going to fix or the feature you intend to add before you submit the code. There are several advantages of doing so:
- There will not be any conflict with other developers or their plans for this project to result in repetitive work.
- The Jarslink maintenance personnel will discuss the bug or new feature you submitted to determine whether the modification is necessary, or if there is any room for improvement or a better solution.
- Start developing and submitting code after agreement to reduce the cost of communication between both parties as well as the number of rejected pull requests.
Getting the source code
To modify or add a feature, click the fork
button in the upper left corner to copy Jarslink trunk code to your code repository, after submitting an issue.
Pulling a branch
Perform all the Jarslink modifications on the branch, and submit a pull request
after the modifications, which will be merged into the trunk by the project maintenance personnel after the code review.
Therefore, after getting the introduction to source code steps, you need to:
Download the code locally. You may select the git/https mode in this step.
git clone https://github.com/your account name/sofa-jarslink.git
Pull a branch to prepare for code modification.
git branch add_xxx_feature
After the preceding command is executed, your code repository will switch to the corresponding branch. To view the current branch, execute the following command:
git branch -a
If you want to switch back to the trunk, execute the following command:
git checkout -b master
If you want to switch back to the branch, execute the following command:
git checkout -b "branchName"
Modify the code and submit it locally.
After a branch is pulled, you can modify the code.
When modifying the code, note the following:
- Keep the code style consistent.
Jarslink uses the Maven plugin to keep the code style consistent. Before submitting the code, be sure to execute the following commands locally
mvn clean compile
- Supplement unit test code.
- New modifications should have passed existing unit tests.
- You should provide the new unit test to prove that the previous code has bugs and the new code has fixed such bugs.
Execute the following command to run all tests:
mvn clean test
You can also use the IDE to help execute a command.
Other do’s and don’ts
- Retain the original style of the code you are editing, especially the spaces and line feeds in the code.
- Delete useless annotations.
- Annotate the places where the logic and functionality are not easy to understand.
- Update documents in a timely manner.
After the code is modified, execute the following command to submit all modifications to the local repository:
git commit -am 'Add xx feature'
Submit the code to a remote repository
After being submitted to the local repository, the code is synchronized to a remote repository. Execute the following command to submit the local modification to github:
git push origin "branchname"
If you clicked the ‘fork’ button to get the source code, the modified code is pushed to your code repository rather than the Jarslink repository.
Submit a request for merging the code into the trunk
After submitting the code to GitHub, you can send a request to merge your modified code into the Jarslink trunk code. To do so, you need to enter the corresponding repository on your GitHub and press the pull request
button in the upper right corner. Select the target branch (usually master
, and the system will notify the Jarslink personnel, who will review your code and merge it into the trunk as part of Jarslink if it meets the requirements.
Code review
After you submit the code, it will be assigned to maintenance personnel for review. You need to wait for the review result. If you have not received a reply after several days, leave a message under the PR, and put an at (@) sign before the name of the responsible person.
The person will leave a comment containing the code review suggestions on the corresponding PR or issue. If you find the suggestions reasonable, update your patch based on the comments.
Merge the code into the trunk
After your code passes the review, the Jarslink maintenance personnel will merge it into the trunk. You do not need to participate in this step. After the code is merged, you will receive a message.


Pak Army will continue to support national institutions as per constitution: COAS
by https://www.facebook.com/dunyanewsRAWALPINDI (Dunya News) – Chief of Army Staff (COAS) General Qamar Javed Bajwa on Monday said that Pakistan Army as organ of the state will continue to support national institutions as and when asked as per constitution.
While presiding over the 226th Corps Commanders’ Conference at GHQ on Monday, he said that we have attained better internal security and stability through cohesive national efforts and sacrifices rendered by Pakistan’s armed forces, all national institutions and above all the nation.
“We shall not let it reverse to suit any vested agenda at any cost,” he added.
The forum reviewed geo strategic and national security environment. The forum also discussed internal security situation along Eastern Border (EB), Line of Control (LOC) and Indian Occupied Jammu & Kashmir (IOJ&K).
The Commanders expressed firm resolve to defend the country against full spectrum threat.
Speaking on the occasion, the COAS said, "While Pakistan Armed Forces with support of national institutions and the nation are fully prepared and committed to thwart all threats including on Eastern Border/LOC, continued cohesion of all national stakeholders on key national issues is essential to defeat inimical forces.”


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