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| PREV NEXT | FRAMES NO FRAMES |
| Packages that use dxf2svg.svg | |
| dxf2svg | |
| dxf2svg.animation | |
| dxf2svg.svg | |
| dxf2svg.util | |
| dxf2svg.util.svglink | |
| dxf2svg.util.wiretrace |
| Classes in dxf2svg.svg used by dxf2svg | |
| DxfImageObjectReference
This class Hold URI information about images that may be imbedded in the DXF file. |
|
| SvgAttdef
This immutable class encapsulates a DXF attribute definition, known as an ATTDEF, into an SVG format. |
|
| SvgHatch
SvgHatch encapsulates the Dxf object, HATCH. |
|
| SvgHatchPattern
This class encapsulates a hatch pattern. |
| Classes in dxf2svg.svg used by dxf2svg.animation | |
| SvgLayerGroup
This class encapusulates all the SvgObjects that share a commonality of having come from the same layer in a DXF. |
|
| SvgMPath
An mpath is an object is a wrapper for a path reference that SvgAnimator
uses to apply an animation effect along.
|
| Classes in dxf2svg.svg used by dxf2svg.svg | |
| Point
The Point class encapsulates the smallest element used in the conversion between DXF and SVG. |
|
| SvgCollection
This class is the base class for all collections of SvgObjects. |
|
| SvgDoubleEndedGraphicElement
This abstract class is the super class for all elements that have a start and end point. |
|
| SvgElement
SvgElement is the abstract base class for all Svg Objects. |
|
| SvgEntityReference
This class encapsulates Dxf INSERT object. |
|
| SvgFontMetrics.UnResolveableSvgFontMetricsException
This checked exception can occur if the SvgFontMetrics object is instantiated before the style table has its font name or font size set. |
|
| SvgGraphicElement
A graphic element object is defined here to be an empty class that needs to be sub-classed to be made into a useful SvgOject like SvgArc or Svgline or what ever. |
|
| SvgGroup
This class encapsulates a generic grouping of SvgObjects. |
|
| SvgHatchPattern
This class encapsulates a hatch pattern. |
|
| SvgLine
This class encapsulates the SVG line element. |
|
| SvgNotes.SvgNoteString
This class represents a note string and its x, y location in AutoCAD space. |
|
| SvgObject
This class encapsulates the basic SVG object. |
|
| SvgPolyLine
This class encapsulates the SVG polyline element. |
|
| SvgPolyLine.VertexPoint
This is a wrapper class for Point that allows the inclusion of a bulge value which is required to perform routine calculations for polylines. |
|
| SvgReference
This abstract class encapsulates an SvgReference of which there can be three types: SvgEntityReference, SvgUseXLink and SvgImage. |
|
| SvgText
This class encapsulates a single line of text in SVG. |
| Classes in dxf2svg.svg used by dxf2svg.util | |
| Point
The Point class encapsulates the smallest element used in the conversion between DXF and SVG. |
|
| SvgText
This class encapsulates a single line of text in SVG. |
| Classes in dxf2svg.svg used by dxf2svg.util.svglink | |
| SvgLayerGroup
This class encapusulates all the SvgObjects that share a commonality of having come from the same layer in a DXF. |
| Classes in dxf2svg.svg used by dxf2svg.util.wiretrace | |
| Point
The Point class encapsulates the smallest element used in the conversion between DXF and SVG. |
|
| SvgDoubleEndedGraphicElement
This abstract class is the super class for all elements that have a start and end point. |
|
| SvgLayerGroup
This class encapusulates all the SvgObjects that share a commonality of having come from the same layer in a DXF. |
|
| SvgText
This class encapsulates a single line of text in SVG. |
|
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I do all the crazy stuff to make the pages look beautiful. Feel free to contact me.
Cheers!
| +AravindBalla |
|<EMAIL_ADDRESS>|
| Vasavi College of Engineering |
| Hyderabad, India |
Here is some more information about this product that is only revealed once clicked on.
| +krishnatejaGrandhi |
|<EMAIL_ADDRESS>|
| Vasavi College of Engineering |
| Hyderabad, India |


British Airways flights around the world disrupted by ‘technical issue’
Some passengers have complained of delays of up to 22 hours with their flights
British Airways has blamed a “technical issue” for disruption to its flights around the world, with some passengers complaining of delays of up to 22 hours.
The airline on Thursday morning confirmed that its teams were working to “resolve a technical issue”, and said it was rebooking customers onto alternative flights.
However BA would not provide details of how many flights the disruption had affected or the reason for the delays.
The issue comes at a difficult time for the airline which has been hit with a number of high-profile glitches in recent years, including a major data breach last year and a severe systems failure in 2017 that resulted in hundreds of flights being cancelled.
This year BA also faced its most serious industrial dispute with pilots in its history, after its cockpit crew went on strike for two days in September which saw over 2,000 flights cancelled.
Last month, the airline announced a 7 per cent fall in operating profit in the three months to the end of September.
Dozens of BA customers took to Twitter to complain about the delays. One customer @MPerryDigital tweeted BA to say he had been delayed by 22 hours and was left 13 hours from home.
In a statement on Thursday, BA said: “We are very sorry for the disruption to their travel plans. We are advising customers to check ba.com for the latest flight information and to ensure that contact details are up to date on their booking, so that we can provide the latest information.”
- Copyright The Financial Times Limited 2019


@(user: User)
@main(user) {
| Username | TOT | Garbaged Words | Collection | Run | Garbage | Challenge | TestCollection | None | Task | Measure |
Number of words generated for each class (No G.)
User agr. on garbaged words
| User1 | User2 | Inter. | Union | Inter./Union |
User agr. on Challenge class
| User1 | User2 | Inter. | Union | Inter./Union |
User agr. on Collection class
| User1 | User2 | Inter. | Union | Inter./Union |
User agr. on Measure class
| User1 | User2 | Inter. | Union | Inter./Union |
User agr. on None class (*)
| User1 | User2 | Inter. | Union | Inter./Union |
| User1 | User2 | Inter. | Union | Inter./Union |
| User1 | User2 | Inter. | Union | Inter./Union |
User agr. on TestCollection class
| User1 | User2 | Inter. | Union | Inter./Union |
User agr. on Challenge/Task class
| User1 | User2 | Inter. | Union | Inter./Union |
User agr. on TestCollection class
| User1 | User2 | Inter. | Union | Inter./Union |
List of garbaged words per each user
List of garbaged words per pair of users
| User1 | User2 | N | Garbaged Words |
RI New Words Function (Increase delay)
}


I’m a 4th-year student at SF state. I tend to watch a lot of YouTube content. My other pastimes I tend to see myself doing include playing rhythm games, reading translated novels or comics, sometimes doodling. I don't have professional-looking photos at the moment. The picture above are sketches I made during highschool which might give you a better idea about me.


--- layout: default ---
Get in touch on the Searchex Gitter: https://gitter.im/elixir-search/searchex
You can also find the Searchex maintainer (Andy Leak) on Elixir Slack (@andyl) and Elixir Forum (@AndyL).


,QuantConnect provides equity options data from AlgoSeek going back as far as 2010. The options data is available only in minute resolution, which means we need to consolidate the data if we wish to work with other resolutions. Options data also contains both trade data and quote data. To access options data, we need to first subscribe to an underlying and also to the option chains data for that underlying.
qb = QuantBook() spy = qb.AddEquity("SPY") # add SPY data spy_option = qb.AddOption("SPY") # add SPY option data
When we use qb.AddOption("SPY")
, we are subscribed to the option chain data for SPY, which contains a large number of contracts with different rights, strikes, and expirations. We need to filter the contracts in the chain for the ones which interest us. We can do this using the Option.SetFilter
method. There are a few different ways we can filter our options chain.
One way to refer to a strike price is to use the number of strike levels it is below or above the current market price. If SPY is trading at $300 and the option chain contains strikes: $285, $295, $300, $305, $310, $315, then we can refer to the $290 strike as -2 because it is 2 strikes below the current market price of SPY.
We can filter the chain by the range of strike prices we are interested in. For example, we can restrict the chain to only include contracts with strike prices between -2 strikes and +5 strikes.
spy_option.SetFilter(-2, +5)
We can also filter by the range of expirations for our contracts. For example, let's restrict our chain to contracts expiring between 7 days from now and 30 days from now.
spy_option.SetFilter(timedelta(days=7), timedelta(days=30))
We can combine strike filtering and expiration filtering to narrow our chain even further. We can choose contracts which are expiring between 7 days from now and 30 days from now, whose strikes are also between -2 strikes and +5 strikes.
spy_option.SetFilter(-2, +5, timedelta(days=7), timedelta(days=30))
Regular qb.History
calls do not work for options. Instead, we need to use qb.GetOptionHistory
, which allows us to request options data during a given period.
start_time = datetime(2017, 1, 11, 10, 10) end_time = datetime(2017, 1, 13, 12, 10) # Request SPY options history between given dates option_history = qb.GetOptionHistory(spy.Symbol, start_time, end_time)
qb.GetOptionHistory
does not return a dataframe of historical data. It instead returns an OptionHistory object, which allows us to access the strike, expiration, and price data.
We can use OptionHistory.GetAllData()
to return a dataframe containing all the price data for the options chain. This dataframe contains all the quote, trade and open interest data for each contract in our history call. It is indexed by contract expiry, strike, option right type, contract symbol, and data timestamp.
# Fetch historical price data for options chain history = option_history.GetAllData()
We can also retrieve the set
# Fetch strikes of all options contracts option_history.GetStrikes()
# Fetch expiration dates of all options contracts option_history.GetExpiryDates()


public static class RiskModelSampleSummary.RiskSummary
extends java.lang.Object
| Modifier and Type | Method and Description |
|---|---|
double |
getAverageRisk()
Returns the average risk
|
double |
getEffectiveRiskThreshold()
Returns the effective threshold, which may differ from user-specified parameters due to rounding issues.
|
double |
getHighestRisk()
Maximum probability of re-identification
|
double |
getRecordsAtRisk()
Proportion of records with risk above threshold
|
double |
getRiskThreshold()
Returns the threshold specified by the user.
|
double |
getSuccessRate()
Proportion of records that can be re-identified on average
|
public double getAverageRisk()
public double getEffectiveRiskThreshold()
public double getHighestRisk()
public double getRecordsAtRisk()
public double getRiskThreshold()
getEffectiveRiskThreshold()
.public double getSuccessRate()


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The University of Surrey,B.Sc Computer Science.Coding Bootcamp Data4You
I worked on projects using the Scrum methodology at varying degrees and work with others to use the methology effectively.
I'm a full stack Web Developer. I use HTML,CSS,SASS, and Javascript to deliver the end product you want.
I create Database Driver Web Sites using MySQL and PHP.


{% block title %}Reports Visualization{% endblock %} {% block head %} {% endblock %} {% block content %} By User Popularity By Robot Popularity By Tester Popularity By General Popularity By Ratio General Popularity By Ratio User Popularity


Writing technical manuals for Microsoft for their sadly now-defunkt Expression Studio products which were actually pretty awesome. I mostly worked on the Expression Web and Expression Design products, creating user manuals, walk-throughs, technical learning assets and instructional video scripts.


My name is obada Tumah im 23 years old. BA of computer science graduated from Yarmouk university with very good GPA, i'm looking for a huge goal in the future to be a great senior full stack developer.
* Tichnical Skills
- OOP
- Good in Java
- Good in Python
- Basic knowledge in Android Studio
- Front End (HTML & CSS)
- Back End (JS & PHP)
* Soft Skills
- Good searcher
- Team worker
- Time management
- Able to work under pressure
* My top ten Series
- Mr.robot
- Dexter
- One Piece
- Death Note
- Breaking Bad
- Game Of Thrones
- Attack On Titan
- Lucifer
- La Casa De Papel
- Fresh Prince Of Bill Aire
My Lucky number is 6
* My best cars
- BMW
- Mercedes
- Dudge
- KIA
- Opel
- Oudi
- Nissan
- Golf


--- layout: example categories: example/v1.0.0 version: v1.0.0 title: Clusters with custom polygon appearance description: Show a custom styled polygon for the extent of clustered markers tags: - cluster ---


| DOSE: |
7 buttons |
oral |
Peyote |
(plant material) |
First, let me tell you about myself. I live in Monterrey,Mexico and have a degree in psychology. Being Mexican, please excuse any glitch in my English.
On September 16,1999 my brother in law and I took a trip to a town called Real de Catorce. This little town is lost in the plains of northern central Mexico and is accesible only through a 2 kilometer tunnel. The area is sacred for the huichol people and they go on a yearly pilgrimage to look for the sacred hicuri (peyote). I was surprised the first time I went there to find many Americans and Europeans living there (this was my fourth trip, but the most interesting one).
Since my first trip I had been very curious about the peyote,but I was a little scared about it. Fortunately on this particular time I met a man called El Camaron (shrimp in English)and we started talking about peyote and he turned out to know a great deal about it. What really convinced my brother in law (his name is Jorge, by the way)and I about trying the peyote was that this man had only good things to say about hicuri. He told us that we would learn a lot about ourselves and that, if eaten with respect and a purpose, hicuri would be good to us and that if our trip was scary,it would be that way for agood reason. So Jorge and I decided to try it.
I think it is important to tell you about Jorge. First of all, he is a great,sensitive guy and we have the best of the friendships, but unfortunately he is not a strong individual, he is a bit clumsy physically and this brought a lot of abuse from other kids when he was younger.We are both thirty-three now. All of what I have told you and some other things made him a little bit insecure of himself. On the other hand,I am strong secure of myself and through my life I have practiced extreme sports and things like that, so for Jorge I am like a big brother.
So we headed into the desert with a local guide and took only what we needed then we went to an abandoned mine and set camp. We ate the peyote with great respect and just kept talking of ordinary things. About two hours after we ate the peyote Jorge vomited, but we felt normal.
After maybe another hour I was looking up at some tree branches and they started to turn more dense right in front of my eyes, and I thought 'this is it' at the same time the leaves of the trees started to glow like emeralds and everything exploded in a thousand colors and I felt one with the mountains and my surroundings there is one word to describe it:bliss.
And here comes the learning that the experience gave us,at a given moment I could actually feel terror coming out of Jorge,he did not looked scared at all but his fear was hitting me in the same way as if he were throwing something physical at me,at that time I asked him 'You´re scared shitless, aren´t you?' And he was astonished that I could feel that because he was not showing any fear at all.I suddenly said,and to this day I do not why, 'You are dealing with your past'.  How can you be so accurate?'
To tell you the truth I don't know. What I can tell you is that I had an incredible mental connection with my friend and I knew he was in trouble facing his demons, but as the hours went by I talked out of his fears and we started to enjoy a state of mind so beautiful so undescribable that to try to explain it would be like explaining a person who was born blind how is the color blue.At about six am we got into the tent and fell asleep.
The next day Jorge told me 'Now I know that I am capable of achieving many things I thought impossible,if I made it through that night in which I faced my deepest fears I can do anything'.
And so it was. The next day we climbed a mountain and Jorge pitched the tent cut firewood and did things that the previous day he regarded as impossible. As for me the mental connection was incredible and the feelings beautifuly overwhelming,and there is no doubt in my mind that the experience was one of the most enriching events in my life. By the way, Jorge is now in college and people respect him a whole lot more than before that night in September 16, 1999.
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.


Chevrolet C8 Corvette launch delayed – update
The strike at Bowling Green has left GM with no C8 Corvettes to spare, production delayed until February 2020.
by William Stopford- shares
GM has confirmed what we’d already been expecting: the 40-day United Auto Workers strike has indeed delayed the start of production for the new Chevrolet C8 Corvette.
Motor Authority reports production will start in February 2020 at GM’s Bowling Green Assembly instead of this December. According to the Chevrolet website, the first deliveries to customers will take place in “early 2020”.
The factory is still filling orders for the outgoing C7 Corvette and will then need to be re-tooled for the new car, a process which may take a few weeks.
There’s been no official change to the C8 Corvette’s local launch timings, however Holden never locked in a particular date – when the C8 was officially revealed, we reported the mid-engine supercar would arrive here in right-hand drive form in late 2020 or early 2021.
We also haven't received official word on how much the Corvette will cost here, though we also reported Holden dealers had been briefed on a price somewhere in the range of $100-150,000.
The C8 differs from the Chevrolet Camaro currently sold at HSV dealerships in that it'll be built in right-hand drive at the factory, a first for the venerable Corvette nameplate.
The current C7 Corvette has a base price in the US market of $55,900 (A$81,038). In comparison, the cheapest Porsche 911 there, the Carrera, costs $91,100 (A$132,067).
The C8 Corvette uses a 6.2-litre V8 with 370kW and 637Nm, mated exclusively to an eight-speed dual-clutch automatic transmission. This is a Corvette we're talking about here, though, so expect the engine range to expand quite quickly.
The current C7 series, for example, is available in Z06 trim, using the LT4 supercharged 6.2-litre V8 also available in the Camaro ZL1, producing 485kW and 881Nm. There's also the even wilder ZR1, its LT5 supercharged 6.2-litre V8 producing 563kW and 969Nm.
The new C8 Corvette – the first mid-engine Corvette generation – is rumoured to eventually offer a twin-turbo, double overhead cam V8 and potentially even an electrified variant. It's not as though the base Corvette is wanting for power, though – GM has confirmed a 0-60mph (0-97km/h) time of just 3 seconds.
1
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nextprevious
Chevrolet C8 Corvette launch delayed – update


Before:
!seq.forall(x => !condition(x)) !seq.exists(x => !condition(x))
After:
seq.exists(x => condition(x)) seq.forall(x => condition(x))


/*====================================================================* * * Copyright (c) 2013 Qualcomm Atheros, Inc. * * All rights reserved. * * Redistribution and use in source and binary forms, with or * without modification, are permitted (subject to the limitations * in the disclaimer below) provided that the following conditions * are met: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * * Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following * disclaimer in the documentation and/or other materials * provided with the distribution. * * * Neither the name of Qualcomm Atheros nor the names of * its contributors may be used to endorse or promote products * derived from this software without specific prior written * permission. * * NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE * GRANTED BY THIS LICENSE.  IN NO EVENT SHALL THE COPYRIGHT OWNER * OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE * OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * *--------------------------------------------------------------------*/ /*====================================================================* * * baud_t baudrate (unsigned rate) * * convert integer baud rate to system constant or bitmap; * * * Contributor(s): * Nathaniel Houghton<EMAIL_ADDRESS>* Charles Maier<EMAIL_ADDRESS>* *--------------------------------------------------------------------*/ #ifndef BAUDRATE_SOURCE #define BAUDRATE_SOURCE #include <termios.h> #include <errno.h> #include "../tools/error.h" signed baudrate (unsigned baud, speed_t * speed) { static struct baud { unsigned baud; speed_t code; } bauds [] = { { 0, B0 }, { 50, B50 }, { 75, B75 }, { 110, B110 }, { 134, B134 }, { 150, B150 }, { 200, B200 }, { 300, B300 }, { 600, B600 }, { 1200, B1200 }, { 1800, B1800 }, { 2400, B2400 }, { 4800, B4800 }, { 9600, B9600 }, { 19200, B19200 }, { 38400, B38400 }, { 57600, B57600 }, { 115200, B115200 }, #ifdef B230400 { 230400, B230400 }, #endif #ifdef B460800 { 460800, B460800 }, #endif #ifdef B500000 { 500000, B500000 }, #endif #ifdef B921600 { 921600, B921600 }, #endif }; signed lower = 0; signed upper = sizeof (bauds) / sizeof (struct baud); while (lower < upper) { signed index = (lower + upper) >> 1; signed order = baud - bauds [index].baud; if (order < 0) { upper = index - 0; continue; } if (order > 0) { lower = index + 1; continue; } *speed = bauds [index].code; return (0); } return (-1); } #endif


dplyr, and R in general, are particularly well suited to performing operations over columns, and performing operations over rows is much harder. In this vignette, you’ll learn dplyr’s approach centred around the row-wise data frame created by rowwise()
.
There are three common use cases that we discuss in this vignette:
These types of problems are often easily solved with a for loop, but it’s nice to have a solution that fits naturally into a pipeline.
Of course, someone has to write loops. It doesn’t have to be you. — Jenny Bryan
Row-wise operations require a special type of grouping where each group consists of a single row. You create this with rowwise()
:
df <- tibble(x = 1:2, y = 3:4, z = 5:6)
df %>% rowwise()
#> # A tibble: 2 x 3
#> # Rowwise:
#> x y z
#> <int> <int> <int>
#> 1 1 3 5
#> 2 2 4 6
Like group_by()
, rowwise()
doesn’t really do anything itself; it just changes how the other verbs work. For example, compare the results of mutate()
in the following code:
df %>% mutate(m = mean(c(x, y, z)))
#> # A tibble: 2 x 4
#> x y z m
#> <int> <int> <int> <dbl>
#> 1 1 3 5 3.5
#> 2 2 4 6 3.5
df %>% rowwise() %>% mutate(m = mean(c(x, y, z)))
#> # A tibble: 2 x 4
#> # Rowwise:
#> x y z m
#> <int> <int> <int> <dbl>
#> 1 1 3 5 3
#> 2 2 4 6 4
If you use mutate()
with a regular data frame, it computes the mean of x
, y
, and z
across all rows. If you apply it to a row-wise data frame, it computes the mean for each row.
You can optionally supply “identifier” variables in your call to rowwise()
. These variables are preserved when you call summarise()
, so they behave somewhat similarly to the grouping variables passed to group_by()
:
df <- tibble(name = c("Mara", "Hadley"), x = 1:2, y = 3:4, z = 5:6)
df %>%
rowwise() %>%
summarise(m = mean(c(x, y, z)))
#> `summarise()` has ungrouped output. You can override using the `.groups` argument.
#> # A tibble: 2 x 1
#> m
#> <dbl>
#> 1 3
#> 2 4
df %>%
rowwise(name) %>%
summarise(m = mean(c(x, y, z)))
#> `summarise()` has grouped output by 'name'. You can override using the `.groups` argument.
#> # A tibble: 2 x 2
#> # Groups: name [2]
#> name m
#> <chr> <dbl>
#> 1 Mara 3
#> 2 Hadley 4
rowwise()
is just a special form of grouping, so if you want to remove it from a data frame, just call ungroup()
.
dplyr::summarise()
makes it really easy to summarise values across rows within one column. When combined with rowwise()
it also makes it easy to summarise values across columns within one row. To see how, we’ll start by making a little dataset:
df <- tibble(id = 1:6, w = 10:15, x = 20:25, y = 30:35, z = 40:45)
df
#> # A tibble: 6 x 5
#> id w x y z
#> <int> <int> <int> <int> <int>
#> 1 1 10 20 30 40
#> 2 2 11 21 31 41
#> 3 3 12 22 32 42
#> 4 4 13 23 33 43
#> # … with 2 more rows
Let’s say we want compute the sum of w
, x
, y
, and z
for each row. We start by making a row-wise data frame:
We can then use mutate()
to add a new column to each row, or summarise()
to return just that one summary:
rf %>% mutate(total = sum(c(w, x, y, z)))
#> # A tibble: 6 x 6
#> # Rowwise: id
#> id w x y z total
#> <int> <int> <int> <int> <int> <int>
#> 1 1 10 20 30 40 100
#> 2 2 11 21 31 41 104
#> 3 3 12 22 32 42 108
#> 4 4 13 23 33 43 112
#> # … with 2 more rows
rf %>% summarise(total = sum(c(w, x, y, z)))
#> `summarise()` has grouped output by 'id'. You can override using the `.groups` argument.
#> # A tibble: 6 x 2
#> # Groups: id [6]
#> id total
#> <int> <int>
#> 1 1 100
#> 2 2 104
#> 3 3 108
#> 4 4 112
#> # … with 2 more rows
Of course, if you have a lot of variables, it’s going to be tedious to type in every variable name. Instead, you can use c_across()
which uses tidy selection syntax so you can to succinctly select many variables:
rf %>% mutate(total = sum(c_across(w:z)))
#> # A tibble: 6 x 6
#> # Rowwise: id
#> id w x y z total
#> <int> <int> <int> <int> <int> <int>
#> 1 1 10 20 30 40 100
#> 2 2 11 21 31 41 104
#> 3 3 12 22 32 42 108
#> 4 4 13 23 33 43 112
#> # … with 2 more rows
rf %>% mutate(total = sum(c_across(where(is.numeric))))
#> # A tibble: 6 x 6
#> # Rowwise: id
#> id w x y z total
#> <int> <int> <int> <int> <int> <int>
#> 1 1 10 20 30 40 100
#> 2 2 11 21 31 41 104
#> 3 3 12 22 32 42 108
#> 4 4 13 23 33 43 112
#> # … with 2 more rows
You could combine this with column-wise operations (see vignette("colwise")
for more details) to compute the proportion of the total for each column:
rf %>%
mutate(total = sum(c_across(w:z))) %>%
ungroup() %>%
mutate(across(w:z, ~ . / total))
#> # A tibble: 6 x 6
#> id w x y z total
#> <int> <dbl> <dbl> <dbl> <dbl> <int>
#> 1 1 0.1 0.2 0.3 0.4 100
#> 2 2 0.106 0.202 0.298 0.394 104
#> 3 3 0.111 0.204 0.296 0.389 108
#> 4 4 0.116 0.205 0.295 0.384 112
#> # … with 2 more rows
The rowwise()
approach will work for any summary function. But if you need greater speed, it’s worth looking for a built-in row-wise variant of your summary function. These are more efficient because they operate on the data frame as whole; they don’t split it into rows, compute the summary, and then join the results back together again.
df %>% mutate(total = rowSums(across(where(is.numeric))))
#> # A tibble: 6 x 6
#> id w x y z total
#> <int> <int> <int> <int> <int> <dbl>
#> 1 1 10 20 30 40 101
#> 2 2 11 21 31 41 106
#> 3 3 12 22 32 42 111
#> 4 4 13 23 33 43 116
#> # … with 2 more rows
df %>% mutate(mean = rowMeans(across(where(is.numeric))))
#> # A tibble: 6 x 6
#> id w x y z mean
#> <int> <int> <int> <int> <int> <dbl>
#> 1 1 10 20 30 40 20.2
#> 2 2 11 21 31 41 21.2
#> 3 3 12 22 32 42 22.2
#> 4 4 13 23 33 43 23.2
#> # … with 2 more rows
NB: I use df
(not rf
) and across()
(not c_across()
) here because rowMeans()
and rowSums()
take a multi-row data frame as input.
rowwise()
operations are a natural pairing when you have list-columns. They allow you to avoid explicit loops and/or functions from the apply()
or purrr::map()
families.
Imagine you have this data frame, and you want to count the lengths of each element:
You might try calling length()
:
df %>% mutate(l = length(x))
#> # A tibble: 3 x 2
#> x l
#> <list> <int>
#> 1 <dbl [1]> 3
#> 2 <int [2]> 3
#> 3 <int [3]> 3
But that returns the length of the column, not the length of the individual values. If you’re an R documentation aficionado, you might know there’s already a base R function just for this purpose:
df %>% mutate(l = lengths(x))
#> # A tibble: 3 x 2
#> x l
#> <list> <int>
#> 1 <dbl [1]> 1
#> 2 <int [2]> 2
#> 3 <int [3]> 3
Or if you’re an experienced R programmer, you might know how to apply a function to each element of a list using sapply()
, vapply()
, or one of the purrr map()
functions:
df %>% mutate(l = sapply(x, length))
#> # A tibble: 3 x 2
#> x l
#> <list> <int>
#> 1 <dbl [1]> 1
#> 2 <int [2]> 2
#> 3 <int [3]> 3
df %>% mutate(l = purrr::map_int(x, length))
#> # A tibble: 3 x 2
#> x l
#> <list> <int>
#> 1 <dbl [1]> 1
#> 2 <int [2]> 2
#> 3 <int [3]> 3
But wouldn’t it be nice if you could just write length(x)
and dplyr would figure out that you wanted to compute the length of the element inside of x
? Since you’re here, you might already be guessing at the answer: this is just another application of the row-wise pattern.
Before we continue on, I wanted to briefly mention the magic that makes this work. This isn’t something you’ll generally need to think about (it’ll just work), but it’s useful to know about when something goes wrong.
There’s an important difference between a grouped data frame where each group happens to have one row, and a row-wise data frame where every group always has one row. Take these two data frames:
If we compute some properties of y
, you’ll notice the results look different:
gf %>% mutate(type = typeof(y), length = length(y))
#> # A tibble: 2 x 4
#> # Groups: g [2]
#> g y type length
#> <int> <list> <chr> <int>
#> 1 1 <int [3]> list 1
#> 2 2 <chr [1]> list 1
rf %>% mutate(type = typeof(y), length = length(y))
#> # A tibble: 2 x 4
#> # Rowwise: g
#> g y type length
#> <int> <list> <chr> <int>
#> 1 1 <int [3]> integer 3
#> 2 2 <chr [1]> character 1
They key difference is that when mutate()
slices up the columns to pass to length(y)
the grouped mutate uses [
and the row-wise mutate uses [[
. The following code gives a flavour of the differences if you used a for loop:
# grouped
out1 <- integer(2)
for (i in 1:2) {
out1[[i]] <- length(df$y[i])
}
out1
#> [1] 1 1
# rowwise
out2 <- integer(2)
for (i in 1:2) {
out2[[i]] <- length(df$y[[i]])
}
out2
#> [1] 3 1
Note that this magic only applies when you’re referring to existing columns, not when you’re creating new rows. This is potentially confusing, but we’re fairly confident it’s the least worst solution, particularly given the hint in the error message.
gf %>% mutate(y2 = y)
#> # A tibble: 2 x 3
#> # Groups: g [2]
#> g y y2
#> <int> <list> <list>
#> 1 1 <int [3]> <int [3]>
#> 2 2 <chr [1]> <chr [1]>
rf %>% mutate(y2 = y)
#> Error: Problem with `mutate()` input `y2`.
#> x Input `y2` can't be recycled to size 1.
#> ℹ Input `y2` is `y`.
#> ℹ Input `y2` must be size 1, not 3.
#> ℹ Did you mean: `y2 = list(y)` ?
#> ℹ The error occurred in row 1.
rf %>% mutate(y2 = list(y))
#> # A tibble: 2 x 3
#> # Rowwise: g
#> g y y2
#> <int> <list> <list>
#> 1 1 <int [3]> <int [3]>
#> 2 2 <chr [1]> <chr [1]>
rowwise()
data frames allow you to solve a variety of modelling problems in what I think is a particularly elegant way. We’ll start by creating a nested data frame:
by_cyl <- mtcars %>% nest_by(cyl)
by_cyl
#> # A tibble: 3 x 2
#> # Rowwise: cyl
#> cyl data
#> <dbl> <list>
#> 1 4 <tibble [11 × 12]>
#> 2 6 <tibble [7 × 12]>
#> 3 8 <tibble [14 × 12]>
This is a little different to the usual group_by()
output: we have visibly changed the structure of the data. Now we have three rows (one for each group), and we have a list-col, data
, that stores the data for that group. Also note that the output is rowwise()
; this is important because it’s going to make working with that list of data frames much easier.
Once we have one data frame per row, it’s straightforward to make one model per row:
mods <- by_cyl %>% mutate(mod = list(lm(mpg ~ wt, data = data)))
mods
#> # A tibble: 3 x 3
#> # Rowwise: cyl
#> cyl data mod
#> <dbl> <list> <list>
#> 1 4 <tibble [11 × 12]> <lm>
#> 2 6 <tibble [7 × 12]> <lm>
#> 3 8 <tibble [14 × 12]> <lm>
And supplement that with one set of predictions per row:
mods <- mods %>% mutate(pred = list(predict(mod, data)))
mods
#> # A tibble: 3 x 4
#> # Rowwise: cyl
#> cyl data mod pred
#> <dbl> <list> <list> <list>
#> 1 4 <tibble [11 × 12]> <lm> <dbl [11]>
#> 2 6 <tibble [7 × 12]> <lm> <dbl [7]>
#> 3 8 <tibble [14 × 12]> <lm> <dbl [14]>
You could then summarise the model in a variety of ways:
mods %>% summarise(rmse = sqrt(mean((pred - data$mpg) ^ 2)))
#> `summarise()` has grouped output by 'cyl'. You can override using the `.groups` argument.
#> # A tibble: 3 x 2
#> # Groups: cyl [3]
#> cyl rmse
#> <dbl> <dbl>
#> 1 4 3.01
#> 2 6 0.985
#> 3 8 1.87
mods %>% summarise(rsq = summary(mod)$r.squared)
#> `summarise()` has grouped output by 'cyl'. You can override using the `.groups` argument.
#> # A tibble: 3 x 2
#> # Groups: cyl [3]
#> cyl rsq
#> <dbl> <dbl>
#> 1 4 0.509
#> 2 6 0.465
#> 3 8 0.423
mods %>% summarise(broom::glance(mod))
#> `summarise()` has grouped output by 'cyl'. You can override using the `.groups` argument.
#> # A tibble: 3 x 13
#> # Groups: cyl [3]
#> cyl r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 4 0.509 0.454 3.33 9.32 0.0137 1 -27.7 61.5 62.7
#> 2 6 0.465 0.357 1.17 4.34 0.0918 1 -9.83 25.7 25.5
#> 3 8 0.423 0.375 2.02 8.80 0.0118 1 -28.7 63.3 65.2
#> # … with 3 more variables: deviance <dbl>, df.residual <int>, nobs <int>
Or easily access the parameters of each model:
mods %>% summarise(broom::tidy(mod))
#> `summarise()` has grouped output by 'cyl'. You can override using the `.groups` argument.
#> # A tibble: 6 x 6
#> # Groups: cyl [3]
#> cyl term estimate std.error statistic p.value
#> <dbl> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 4 (Intercept) 39.6 4.35 9.10 0.00000777
#> 2 4 wt -5.65 1.85 -3.05 0.0137
#> 3 6 (Intercept) 28.4 4.18 6.79 0.00105
#> 4 6 wt -2.78 1.33 -2.08 0.0918
#> # … with 2 more rows
rowwise()
doesn’t just work with functions that return a length-1 vector (aka summary functions); it can work with any function if the result is a list. This means that rowwise()
and mutate()
provide an elegant way to call a function many times with varying arguments, storing the outputs alongside the inputs.
I think this is a particularly elegant way to perform simulations, because it lets you store simulated values along with the parameters that generated them. For example, imagine you have the following data frame that describes the properties of 3 samples from the uniform distribution:
You can supply these parameters to runif()
by using rowwise()
and mutate()
:
df %>%
rowwise() %>%
mutate(data = list(runif(n, min, max)))
#> # A tibble: 3 x 4
#> # Rowwise:
#> n min max data
#> <dbl> <dbl> <dbl> <list>
#> 1 1 0 1 <dbl [1]>
#> 2 2 10 100 <dbl [2]>
#> 3 3 100 1000 <dbl [3]>
Note the use of list()
here - runif()
returns multiple values and a mutate()
expression has to return something of length 1. list()
means that we’ll get a list column where each row is a list containing multiple values. If you forget to use list()
, dplyr will give you a hint:
df %>%
rowwise() %>%
mutate(data = runif(n, min, max))
#> Error: Problem with `mutate()` input `data`.
#> x Input `data` can't be recycled to size 1.
#> ℹ Input `data` is `runif(n, min, max)`.
#> ℹ Input `data` must be size 1, not 2.
#> ℹ Did you mean: `data = list(runif(n, min, max))` ?
#> ℹ The error occurred in row 2.
What if you want to call a function for every combination of inputs? You can use expand.grid()
(or tidyr::expand_grid()
) to generate the data frame and then repeat the same pattern as above:
In more complicated problems, you might also want to vary the function being called. This tends to be a bit more of an awkward fit with this approach because the columns in the input tibble will be less regular. But it’s still possible, and it’s a natural place to use do.call()
:
df <- tribble(
~rng, ~params,
"runif", list(n = 10),
"rnorm", list(n = 20),
"rpois", list(n = 10, lambda = 5),
) %>%
rowwise()
df %>%
mutate(data = list(do.call(rng, params)))
#> # A tibble: 3 x 3
#> # Rowwise:
#> rng params data
#> <chr> <list> <list>
#> 1 runif <named list [1]> <dbl [10]>
#> 2 rnorm <named list [1]> <dbl [20]>
#> 3 rpois <named list [2]> <int [10]>
rowwise()
rowwise()
was also questioning for quite some time, partly because I didn’t appreciate how many people needed the native ability to compute summaries across multiple variables for each row. As an alternative, we recommended performing row-wise operations with the purrr map()
functions. However, this was challenging because you needed to pick a map function based on the number of arguments that were varying and the type of result, which required quite some knowledge of purrr functions.
I was also resistant to rowwise()
because I felt like automatically switching between [
to [[
was too magical in the same way that automatically list()
-ing results made do()
too magical. I’ve now persuaded myself that the row-wise magic is good magic partly because most people find the distinction between [
and [[
mystifying and rowwise()
means that you don’t need to think about it.
Since rowwise()
clearly is useful it is not longer questioning, and we expect it to be around for the long term.
do()
We’ve questioned the need for do()
for quite some time, because it never felt very similar to the other dplyr verbs. It had two main modes of operation:
Without argument names: you could call functions that input and output data frames using .
to refer to the “current” group. For example, the following code gets the first row of each group:
mtcars %>%
group_by(cyl) %>%
do(head(., 1))
#> # A tibble: 3 x 13
#> # Groups: cyl [3]
#> mpg cyl disp hp drat wt qsec vs am gear carb cyl2 cyl4
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 8 16
#> 2 21 6 160 110 3.9 2.62 16.5 0 1 4 4 12 24
#> 3 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 16 32
This has been superseded cur_data()
plus the more permissive summarise()
which can now create multiple columns and multiple rows.
mtcars %>%
group_by(cyl) %>%
summarise(head(cur_data(), 1))
#> # A tibble: 3 x 13
#> cyl mpg disp hp drat wt qsec vs am gear carb cyl2 cyl4
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 4 22.8 108 93 3.85 2.32 18.6 1 1 4 1 8 16
#> 2 6 21 160 110 3.9 2.62 16.5 0 1 4 4 12 24
#> 3 8 18.7 360 175 3.15 3.44 17.0 0 0 3 2 16 32
With arguments: it worked like mutate()
but automatically wrapped every element in a list:
mtcars %>%
group_by(cyl) %>%
do(nrows = nrow(.))
#> # A tibble: 3 x 2
#> # Rowwise:
#> cyl nrows
#> <dbl> <list>
#> 1 4 <int [1]>
#> 2 6 <int [1]>
#> 3 8 <int [1]>
I now believe that behaviour is both too magical and not very useful, and it can be replaced by summarise()
and cur_data()
.
mtcars %>%
group_by(cyl) %>%
summarise(nrows = nrow(cur_data()))
#> # A tibble: 3 x 2
#> cyl nrows
#> <dbl> <int>
#> 1 4 11
#> 2 6 7
#> 3 8 14
If needed (unlike here), you can wrap the results in a list yourself.
The addition of cur_data()
/across()
and the increased scope of summarise()
means that do()
is no longer needed, so it is now superseded.


The computer that has preeminent memory, can memorize numbers in variables A to Z!
If it displays "OK", memorizing is completed!
Clear the screen, and check if memorized A? B? C?
It uses "LET" once again, overwrite the memory.
It can use also variables instead of numbers.
"="(Equal) symbol can be used to write in short form.
A sound that gradually lower!
Try it!
1. Let's make a sound that is getting more lower
2. Let's make a sound that get gradually higher
3. Let it memorize the birth year, month, day, and store a number that added all
4. Let's memorize and display the number multiplying the birth month and day
5. Let's try how many digits can be memorized as many as possible.


Add Data
Reset
Time between
and
with Time difference of
Data Setting
×
Focus (Detail View)
Context (Overview)
Timeline
User-submitted Notes
×
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×
Are you sure you want to reset?
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See: Description
| Interface | Description |
|---|---|
| ConstFont |
Interface for read-only fonts.
|
| ConstShader |
Interface for read-only textures.
|
| ConstTexture |
Interface for read-only textures.
|
| ConstView |
Interface for read-only views.
|
| Drawable |
Interface for objects that can be drawn to a render target.
|
| RenderTarget |
Interface for render targets.
|
| TextStyle |
Provides text style constants.
|
| Transformable |
Interface for transformable objects that can be positioned in the scene and
rotated and scaled around an origin.
|
| Class | Description |
|---|---|
| BasicTransformable |
Implementation of the
Transformable interface. |
| CircleShape |
A specialized shape representing a circle.
|
| Color |
Represents RGBA colors.
|
| ConvexShape |
Specialized shape representing a convex polygon.
|
| FloatRect |
Represents an axis-aligned rectangle using floating point coordinates.
|
| Font |
Holds a character font for use in text displays.
|
| Glyph |
Describes a glyph in a
Font . |
| Image |
Provides methods for loading, manipulating and saving images.
|
| IntRect |
Represents an axis-aligned rectangle using integer coordinates.
|
| RectangleShape |
A specialized shape representing a rectangle.
|
| RenderStates |
Defines drawing properties when drawing objects to a
RenderTarget . |
| RenderTexture |
Provides a render target for off-screen 2D rendering into a texture.
|
| RenderWindow |
Provides a window that can serve as a target for 2D drawing.
|
| Shader |
Represents a GLSL shader program, consisting of a vertex and a fragment shader.
|
| Shader.CurrentTextureType |
Special type denoting that the texture of the object being drawn
should be used, which cannot be known before it is actually being drawn.
|
| Shape |
Abstract base class for (optionally) textured shapes with (optional) outlines.
|
| Sprite |
Represents a drawable instance of a texture or texture portion.
|
| Text |
Represents a graphical text that can be transformed and drawn to a render target.
|
| Texture |
Represents a 2D texture stored on the graphics card for rendering.
|
| Transform |
Defines a 3x3 transformation matrix for 2D transformations.
|
| Vertex |
Defines a shape point with position, color and texture coordinates information.
|
| VertexArray |
Defines a drawable set of one or multiple 2D primitives.
|
| View |
Represents a 2D camera which defines the region of the scene that is visible.
|
| Enum | Description |
|---|---|
| BlendMode |
Enumeration of the supported blending modes for drawing.
|
| PrimitiveType |
Enumeration of supported primitive types.
|
| Shader.Type |
Enumeration of shader types.
|
| Texture.CoordinateType |
Enumeation of texture coordinate types that can be used for rendering.
|
| Exception | Description |
|---|---|
| Image.PixelOutOfBoundsException |
Thrown if a non-existing pixel is being accessed by either
Image.getPixel(int, int)
or Image.setPixel(int, int, Color) . |
| ShaderSourceException |
Thrown if a vertex or fragment shader source could not be compiled or linked.
|
| TextureCreationException |
Thrown if a texture failed to be created.
|


Outputs
pub -O
generates a complete site including .html files generated from markdown, Browser Scripts, and copies of Static Files.
The output destination defaults to ./out
Usually pub-config
will contain a single outputs
configuration with the path and any other output-specific settings.
outputs: {
path: './tgt',
relPaths: true,
fileMap: true,
outputAliases: true,
omitRoutes: ['/img'],
fqImages: { route:'/img', url:'https://techxlab.github.io' }
overrideOpts: {
appUrl: 'https://www.fmctraining.com',
production:true }
},
path
overrides the default output destination directory
relPaths
converts all internal URLs to relative paths. This is very helpful if you want to open the generated HTML files by opening them in a browser directly from the file system.
omitRoutes
can be use to omit directories which a not required in the output e.g. image directories hosted at a different CDN endpoint.
fqImages
specifies a route pattern for URLs which will be rewritten e.g. to point to a different host or CDN endpoint.
overrideOpts
used to specify output-specific opts e.g. to generate production HTML from a non-production environment.
fileMap
output a manifest of pages, statics, and scripts in filemap.json
.
outputAliases
output html files and filemap entries for aliases using a template called 'redirect' (not automatically provided) - useful for redirects on some static hosts like GitHub Pages.


I believe Python can change the world. Python which is generating in huge number if we are able to manage and able to reform,We can solve many real world problems.
2021 – present | Mumbai, India
🕝Project Lead
🕝Built a Mathematical model
🕝Project
➢Field Of Study:- Mechanical Engineer
➢Grade:- 7.69
➢Dates attended :- 2016 – 2020
➢Activities and Societies:
➢Field Of Study:- Science
➢Grade:- 72.85%
➢Dates attended :- 2014 – 2016
➢Activities and Societies:
➢Field Of Study:- Elementary Level
➢Grade:- 86.40%
➢Dates attended :- 2002 – 2014
➢Activities and Societies:
Tech Stack:- Python,Flask,Jupyter,etc.
⁍Dil khuss ho gya
Tech Stack:- Python, Tensorflow.js,etc.
⁍Hum bhi khuss pdhne wala bhi khuss
Tech Stack:-Python,Javascript etc.
⁍Hppiness bahut jaruri hai
♦Sach bolu toh paka raha hu.
♦ haso aur haste raho.
♦ Sach bolu toh paka raha hu.
♦ ek bat btau
♦ Sach me btau.
♦ Sach bolu toh paka raha hu.


Just like how the world needs its cogs, I would like to believe that I am a cog that you may need.
Find Out MoreWhen it comes to video game development I am a little bit of a Jack of all trades. I design, code, draw, model, rig, animate and compose music (none of these professionally... yet).
My hobbies (besides game dev) include basketball, swimming, board games, playing the guitar and composing music. I love watching anime, korean dramas and reading webtoons. I enjoy video games like DotA, League of Legends, as well as immersing myself in a massive open world like Skyrim's. I can speak a little French, and have been learning Japanese and Korean in my spare time.
ProjectsNeed a hand, you can reach me with these:


A package that provides tools for conducting performance attribution for equity portfolios. The package uses two methods: the Brinson method and a regression-based analysis.
| Version: | 1.2-1 |
| Depends: | grid, R (≥ 2.10) |
| Imports: | ggplot2, methods |
| Published: | 2013-12-21 |
| Author: | Yang Lu [aut, cre], David Kane [aut] |
| Maintainer: | Yang Lu <yang.lu2014 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | Finance |
| CRAN checks: | pa results |
| Reference manual: | pa.pdf |
| Vignettes: |
Using the pa package |
| Package source: | pa_1.2-1.tar.gz |
| Windows binaries: | r-devel: pa_1.2-1.zip, r-release: pa_1.2-1.zip, r-oldrel: pa_1.2-1.zip |
| OS X binaries: | r-release: pa_1.2-1.tgz, r-oldrel: pa_1.2-1.tgz |
| Old sources: | pa archive |
Please use the canonical form https://CRAN.R-project.org/package=pa to link to this page.


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We are happy to have you between us! We hope you will have the best experience using our app.


Current stable version : 2.0.0 (2014-01-12)
This is the first stable version of Easy Batch in the 2.x branch. This version brings a big refactoring to the former CB4J
framework to make it able to process not only CSV input but also any type of input. This release adds many new features such as:
- New Record interface for generic input data type
- Record filtering through the RecordFilter API which allows to skip records from being processed by the engine
- Redesigned validation approach which is now well integrated with the Bean Validation API (JSR303)
- Simplified logging through a single and centralised log file
- New EasyBatchReportFormatter API to format Easy Batch reports to a specific format (HTML, PDF, etc)
- Updated documentation and Javadoc
Please check the change log for all details about changes.
Prior versions
Version : 1.4.0 (2013-09-21)
This release adds many new features such as:
- New BatchResultHolder API to be able to get computation result at the end of batch execution
- New CSV/Object mapper implementation to map records to domain objects based on field names declared in header record
- New parameter to abort execution on first record processing error / record mapping exception
- New parameter to enable/disable JMX monitoring feature
- New validators to validate that date value is before/after a given date
- New validators to validate that field field content size has a min/max length
Version 1.3.0 (2013-04-21)
This release adds the following new features:
- Basic record processing transaction support
- New JMX custom clients : command line and graphical asynchronous real time monitors
- New batch configuration builder API
Version 1.2.0 (2013-01-13)
This release adds the following new features:
- Fixed-Length Record parsing support
- Quartz scheduling module
- Hibernate integration use case
- Spring integration use case
This release also includes some minor API changes and documentation updates. Please check the change log for all details about changes.
Version 1.1.0 (2012-12-08)
This release adds the following new features:
- Support for data qualifier character
- Support for whitespaces trimming
- Support for execution abort on first reject
- JMX monitoring support
- More precise reporting about records processed with errors
For all details about changes in this release, please refer to the change log.
Version 1.0.2 (2012-12-01)
This is the second maintenance release in the 1.0.x branch. This release adds some minor changes to support loading configuration parameters file from the classpath.
It also fixes a performance issue due to String concatenation. For all details about changes in this release, please refer to the change log.
Version 1.0.1 (2012-11-01)
This is the first maintenance release in the 1.0.x branch. The release includes multiple performance optimizations, bugfixes and documentation updates.
The full list of changes may be found in the change log.
Version 1.0.0 (2012-10-14)
This is the first CB4J release. The main features of this release are :
- Initial core API and Implementation
- Common data type validators


This record stores additional information about a specified Table.
Record Data — BIFF8 only
|
Offset |
Name |
Size |
Contents |
|
4 |
rt |
2 |
Record type; this matches the BIFF rt in the first two bytes of the record; =0877h |
|
6 |
grbitFrt |
2 |
FRT cell reference flag; =0 currently |
|
8 |
(Reserved) |
8 |
Currently not used, and set to 0 |
|
16 |
lsd |
2 |
Type of Table data contained in this record (see below for details) |
|
18 |
idList |
4 |
Table unique ID |
|
22 |
rgb |
var |
Data of the record (see below for details) |
The lsd field contains one of the following values:
|
lsd |
Table data type |
|
00h |
Block-level formatting |
|
01h |
Table style client information |
|
02h |
Display name |
If lsd field contains 00h (block-level formatting), then the following data is stored in rgb block:
|
Offset |
Name |
Size |
Contents |
|
0 |
cbdxfHeader |
4 |
Count of bytes in the Table header cells’ DXF , =0 if no DXF is recorded in dxfHeader below; stored as 4-byte integer |
|
4 |
istnHeader |
4 |
The Table header cells’ style number, =-1 if no style name is recorded in stHeader below; stored as 4-byte integer |
|
8 |
cbdxfData |
4 |
Count of bytes in the Table data cells’ DXF , =0 if no DXF is recorded in dxfData below; stored as 4-byte integer |
|
12 |
istnData |
4 |
The Table data cells’ style number, =-1 if no style name is recorded in stData below; stored as 4-byte integer |
|
16 |
cbdxfAgg |
4 |
Count of bytes in the Table aggregate cells’ DXF , =0 if no DXF is recorded in dxfAgg below; stored as 4-byte integer |
|
20 |
istnAgg |
4 |
The Table aggregate cells’ style number, =-1 if no style name is recorded in stAgg below; stored as 4-byte integer |
|
24 |
cbdxfBorder |
4 |
Count of bytes in the Table data cells border’s DXF , =0 if no DXF is recorded in dxfBorder below; stored as 4-byte integer |
|
28 |
cbdxfHeaderBorder |
4 |
Count of bytes in the Table header cells border’s DXF , =0 if no DXF is recorded in dxfHeaderBorder below; stored as 4-byte integer |
|
32 |
cbdxfAggBorder |
4 |
Count of bytes in the Table aggregate cells border’s DXF , =0 if no DXF is recorded in dxfAggBorder below; stored as 4-byte integer |
|
36 |
dxfHeader |
var |
The Table header cells’ DXF |
|
var |
dxfData |
var |
The Table data cells’ DXF |
|
var |
dxfAgg |
var |
The Table aggregated cells’ DXF |
|
var |
dxfBorder |
var |
The Table data cells border’s DXF |
|
var |
dxfHeaderBorder |
var |
The Table header cells border’s DXF |
|
var |
dxfAggBorder |
var |
The Table aggregate cells border’s DXF |
|
var |
stHeader |
var |
The Table header cells’ style; string |
|
var |
stData |
var |
The Table data cells’ style; string |
|
var |
stAgg |
var |
The Table aggregate cells’ style; string |
If lsd field contains 01h (Table style information), then the following data is stored in rgb block:
|
Offset |
Name |
Size |
Contents |
|
0 |
grbitListStyleClient |
2 |
The Table style client flags (see below for details) |
|
2 |
stListStyleName |
var |
The Table style name; string |
The grbitListStyleClient field contains the following flags:
|
Offset |
Bits |
Mask |
Name |
Contents |
|
0 |
0 |
0001h |
fFirstColumn |
=1 if the first column style is enabled |
|
|
1 |
0002h |
fLastColumn |
=1 if the last column style is enabled |
|
|
2 |
0004h |
fRowStripes |
=1 if the row banding is enabled |
|
|
3 |
0008h |
fColumnStripes |
=1 if the column banding is enabled |
|
|
4 |
0010h |
fRowHeaders |
=1 if the row header style is enabled |
|
|
5 |
0020h |
fColumnHeaders |
=1 if the column header style is enabled |
|
|
6 |
0040h |
fDefaultStyle |
=1 if this is the default Table style |
|
|
7-15 |
FF80h |
(Reserved) |
Currently not used, and set to 0 |
If lsd field contains 02h (display name), then the following data is stored in rgb block:
|
Offset |
Name |
Size |
Contents |
|
0 |
stListName |
var |
The Table name |
|
var |
stListComment |
var |
The Table comment |


@(appName: String, clientId: String, callback: String, state: String)
@appName is requesting that you log in and authenticate the application with your selected character.
Authorize


There are N tubs of water, numbered from 1 to N. Initially there is a few litres of water in each tub. Each water tub has 2 taps attached to it. Incoming Tap with speed x litres / second and Outgoing Tap with speed y litres / second.
Let water(i) denote the final volume of water in ith tub.
Amit wants to attain such a situation that water(i) < water(i+1) for 1<=i <=N. i.e. water in each tub must be less than water in the tub next to it. He wants to do this as quickly as possible.
You task is to find out and tell Amit, what is the minimum number of seconds required to attain in this situation.
Input Format
First line will contains the number of tubs, denoted by N
Next N lines contain a tuple with 3 integers delimited by white space. The tuple contents are
Wi - volume of water present initially in ith tub (in litres)
x - speed of incoming tap of ith tub ( in litres/second)
y - speed of outgoing tap of ith tub ( in litres/second)
Output Format
Minimum time in seconds, needed to arrange water in N tubs, in ascending order of volume.
Constraints
2 <= N <= 100000
0 <= W <=<PHONE_NUMBER> (1 billion) for each tub
1 <= x <= 10000 for each tub
1 <= y <= 10000 for each tub
A tap can be used only for integral number of seconds i.e. you cannot use a tap for 0.3 or 0.5 seconds. It can be used either for 1,2,3.... Seconds
Capacity of each tub is infinite.
Volume of water in any tub cannot be less than zero at any point of time.
Any number of taps can be turned on or off simultaneously.
Sample Input 1
3
2 3 3
3 4 5
3 5 5
Sample Output 1
1
Sample Input 2
3
6 2 1
4 1 3
4 1 4
Sample Output 2
2
Explanation for Sample Input and Output 1
Here we have 3 tubs with following information about each of them
| Tub Number |
Initial Volume |
Incoming tap Speed |
Outgoing Tap Speed |
| Tub 1 |
2 |
3 |
3 |
| Tub 2 |
3 |
4 |
5 |
| Tub 3 |
3 |
5 |
5 |
Initially tub 2 and 3 have same volume of water. So he will just turn on the Incoming Tap at Tub 3 for one second. After one second the water in 3rd tub will be 8 litres. Since 2 < 3 < 8, the answer is 1 second.
Explanation for Sample Input and Output 1
Here we have 3 tubs with following information about each of them
| Tub Number |
Initial Volume |
Incoming tap Speed |
Outgoing Tap Speed |
| Tub 1 |
6 |
2 |
1 |
| Tub 2 |
4 |
1 |
3 |
| Tub 3 |
4 |
1 |
4 |
As we can see that it is impossible to do the task in one second. But it can be done in two second as below.
Turn on the outgoing tap at tub 1. So after two seconds water level will reduce to 4 litres.
Turn on the incoming tap at tub 2 only for one second. So water level will be 5 litres.
Turn on the incoming tap at tub 3 for two seconds. So water level will be 6 litres.
Since 4 < 5 < 6, the answer is 2 seconds.


WITNESS LIST Transportation Committee May 1, 2001-2:00P HB 2018 Registering, but not testifying: For: Lawrence, Kevin F. (Texas Municipal Police Association) On: Warren, Susan (Texas Department of Health-Traffic Safety Program) HB 3160 Registering, but not testifying: For: Lawrence, Kevin F. (Texas Municipal Police Association) HB 3597 Registering, but not testifying: For: Utter, Tom (City of Corpus Christi) On: Lopez, Carlos (Texas Department of Transportation) HB 3618 For: Georgiou, Byron (Talisman Cruises) Against: Godinich, Michael T. (Galveston Texas City Pilots) Gunning, John (Texas State Pilots Association, American Pilots Association) Parrish, William E. (Aransas-Corpus Christi Pilots) Registering, but not testifying: Against: Huffman, Stephen (G&H Towing Co.) Phelps, Thomas (Self) HCR 193 For: Word, Tom (City of Round Rock) Registering, but not testifying: For: Hentges, Sandy (Greater Austin Chamber of Commerce) On: Behrens, Mike (Texas Department of Transportation) HCR 234 Registering, but not testifying: For: Hentges, Sandy (Greater Austin Chamber of Commerce) Privett, Tony (City of Lubbock) On: Behrens, Mike (Texas Department of Transportation) SB 224 Registering, but not testifying: On: Behrens, Mike (Texas Department of Transportation)


Commands:
VSCodeExtensions
5fff5b9a2430bb564bfd451d–stoic-mccarthy-2c335f.netlify.app
https://github.com/bgoonz/vscode-Extension-readmes
Command Palette
Access all available commands based on your current context.
Keyboard Shortcut: Ctrl+Shift+P
⇧⌘P
Show all commands⌘P
Show files
⌘B
Toggle sidebar⇧⌘E
Explorer⇧⌘F
Search⇧⌘D
Debug⇧⌘X
Extensions⇧^G
Git (SCM)
⌘F
Find⌥⌘F
Replace⇧⌘F
Find in files⇧⌘H
Replace in files
⌘J
Toggle panel⇧⌘M
Problems⇧⌘U
Output⇧⌘Y
Debug console^`
Terminal
⌘k
z
Zen mode⌘k
u
Close unmodified⌘k
w
Close all
F5
Start⇧F5
Stop⇧⌘F5
Restart^F5
Start without debuggingF9
Toggle breakpointF10
Step overF11
Step into⇧F11
Step out⇧⌘D
Debug sidebar⇧⌘Y
Debug panel
Here is a selection of common features for editing code. If the keyboard shortcuts aren’t comfortable for you, consider installing a keymap extension for your old editor.
Tip: You can see recommended keymap extensions in the Extensions view with Ctrl+K Ctrl+M which filters the search to @recommended:keymaps
.
To add cursors at arbitrary positions, select a position with your mouse and use Alt+Click (Option+click on macOS).
To set cursors above or below the current position use:
Keyboard Shortcut: Ctrl+Alt+Up or Ctrl+Alt+Down
You can add additional cursors to all occurrences of the current selection with Ctrl+Shift+L.
Note: You can also change the modifier to Ctrl/Cmd for applying multiple cursors with the editor.multiCursorModifier
setting . See Multi-cursor Modifier for details.
If you do not want to add all occurrences of the current selection, you can use Ctrl+D instead. This only selects the next occurrence after the one you selected so you can add selections one by one.
You can select blocks of text by holding Shift+Alt (Shift+Option on macOS) while you drag your mouse. A separate cursor will be added to the end of each selected line.
You can also use keyboard shortcuts to trigger column selection.
Syntax Highlighting, Snippets, Go to Definition, Signature helper and Code formatter
A debugger extension for Bash scripts based on
bashdb
Bash script snippets extension
C/C++ — Preview C/C++ extension by Microsoft, read official blog post for the details
Clangd — Provides C/C++ language IDE features for VS Code using clangd: code completion, compile errors and warnings, go-to-definition and cross references, include management, code formatting, simple refactorings.
gnu-global-tags — Provide Intellisense for C/C++ with the help of the GNU Global tool.
YouCompleteMe — Provides semantic completions for C/C++ (and TypeScript, JavaScript, Objective-C, Golang, Rust) using YouCompleteMe.
C/C++ Clang Command Adapter — Completion and Diagnostic for C/C++/Objective-C using Clang command.
CQuery — C/C++ language server supporting multi-million line code base, powered by libclang. Cross references, completion, diagnostics, semantic highlighting and more.
C# — C# extension by Microsoft, read official documentation for the details
C# FixFormat — Fix format of usings / indents / braces / empty lines
C# Extensions — Provides extensions to the IDE that will speed up your development workflow.
Peek or Jump to a CSS definition directly from HTML, just like in Brackets!
See the difference between these two here
tslint — TSLint for Visual Studio Code (with
"tslint.jsEnable": true
).
Prettier — Linter, Formatter and Pretty printer for Prettier.
Schema.org Snippets — Snippets for Schema.org.
Code Spell Checker — Spelling Checker for Visual Studio Code.
Framework-specific:
A VS Code extension to debug your JavaScript code in the Chrome browser, or other targets that support the Chrome Debugging Protocol.
Linter for markdownlint.
All-in-one markdown plugin (keyboard shortcuts, table of contents, auto preview, list editing and more)
Adds emoji syntax support to VS Code’s built-in Markdown preview
These extensions provide slightly different sets of features. While the first one offers better autocompletion support, the second one seems to have more features overall.
Displays a graphical preview of Azure Resource Manager (ARM) templates. The view will show all resources with the official Azure icons and also linkage between the resources.
Browse your database inside the vs code editor
Everything you need for the Azure IoT development: Interact with Azure IoT Hub, manage devices connected to Azure IoT Hub, and develop with code snippets for Azure IoT Hub
Mark lines and jump to them
An extension for big projects or monorepos that colors your tab/titlebar based on the current package
An extension to quickly generate test files.
Commands for upload or copy files of a workspace to a destination.
Ability to duplicate files and directories.
Show language diagnostics inline (errors/warnings/…).
Provides Javascript and React/Redux snippets in ES7
Generating .gitignore files made easy
Allows you to manage GitHub Gists entirely within the editor. You can open, create, delete, fork, star and clone gists, and then seamlessly begin editing files as if they were local. It’s like your very own developer library for building and referencing code snippets, commonly used config/scripts, programming-related notes/documentation, and interactive samples.
View git log, file or line History
Automatically indexes your git projects and lets you easily toggle between them
GoTo current file’s online link in browser and Copy the link in clipboard.
Provides Git CodeLens information (most recent commit, # of authors), on-demand inline blame annotations, status bar blame information, file and blame history explorers, and commands to compare changes with the working tree or previous versions.
Atom-like git indicators on active panel
Provides GitHub workflow support. For example browse project, issues, file (the current line), create and manage pull request. Support for other providers (e.g. gitlab or bitbucket) is planned. Have a look at the README.md on how to get started with the setup for this extension.
This extension uses the GitHub api to monitor the state of your pull requests and let you know when it’s time to merge or if someone requested changes.
Adds a GitLab sidebar icon to view issues, merge requests and other GitLab resources. You can also view the results of your GitLab CI/CD pipeline and check the syntax of your
.gitlab-ci.yml
.
Run gradle tasks in VS Code.
Snippets for popular icon fonts such as Font Awesome, Ionicons, Glyphicons, Octicons, Material Design Icons and many more!
This extension will display inline in the editor the size of the imported package. The extension utilizes webpack with babili-webpack-plugin in order to detect the imported size.
Bringing the power of Jira and Bitbucket to VS Code — With Atlassian for VS Code you can create and view issues, start work on issues, create pull requests, do code reviews, start builds, get build statuses and more!
Provides annotations on function calls in JS/TS files to provide parameter names to arguments.
Provides fast cursor movement, inspired by Atom’s package of the same name.
Simple Kanban board for use in Visual Studio Code, with time tracking and Markdown support.
Launch a development local Server with live reload feature for static & dynamic pages.
Override the regular Copy and Cut commands to keep selections in a clipboard ring
ngrok allows you to expose a web server running on your local machine to the internet. Just tell ngrok what port your web server is listening on. This extension allows you to control ngrok from the VSCode command palette
Simply, edit markdown documents in vscode and instantly preview it in your browser as you type.
Visual Studio Code plugin that autocompletes npm modules in import statements.
Provides parameter hints on function calls in JS/TS/PHP files.
Compare (diff) text selections within a file, across different files, or to the clipboard
Infer the structure of JSON and paste is as types in many programming languages
Visual Studio Code plugin that autocompletes filenames
Extends Visual Studio Code via things like Node.js based scripts or shell commands, without writing separate extensions
PrintCode converts the code being edited into an HTML file, displays it by browser and prints it.
Easily switch between projects.
VSCode Project Dashboard is a Visual Studio Code extension that lets you organize your projects in a speed-dial like manner. Pin your frequently visited folders, files, and SSH remotes onto a dashboard to access them quickly.
Highlight columns in comma, tab, semicolon and pipe separated files, consistency check and linting with CSVLint, multi-cursor column editing, column trimming and realignment, and SQL-style querying with RBQL.
Allows users to open any folder in a container, on a remote machine, container or in Windows Subsystem for Linux(WSL) and take advantage of VS Code’s full feature set.
Allow user to edit files from Remote server in Visual Studio Code directly.
Allows you to send HTTP request and view the response in Visual Studio Code directly.
Synchronize settings, snippets, themes, file icons, launch, key bindings, workspaces and extensions across multiple machines using GitHub Gist
All-in-one extension for text manipulation: filtering (grep), remove lines, insert number sequences and GUIDs, format content as table, change case, converting numbers and more. Great for finding information in logs and manipulating text.
Custom keywords, highlighting, and colors for TODO comments. As well as a sidebar to view all your current tags.
Cycle between single, double and backtick quotes
TypeScript Language Service Plugin providing a set of source actions for easy objects destructuring
Automatic time tracker and productivity dashboard showing how long you coded in each project, file, branch, and language.
Align your code by colon(:), assignment(=,+=,-=,*=,/=) and arrow(=>). It has additional support for comma-first coding style and trailing comment.
And it doesn’t require you to select what to be aligned, the extension will figure it out by itself.
Automatically add HTML/XML close tag, same as Visual Studio IDE or Sublime Text
Auto rename paired HTML/XML tags
Beautify code in place for VS Code
Transform html to pug inside your Visual Studio Code, forget about using an external page anymore.
Transform quotes of ECMAScript string literals
Paste code with “correct” indentation
Sorts lines of text in specific order
A simple yet powerful extension to add wrapper templates around your code blocks.
Wraps selection or multiple selections with symbol or multiple symbols
Allows you to toggle your formatter on and off with a simple click
This extension allows matching brackets to be identified with colours. The user can define which characters to match, and which colours to use.
Automatically finds, parses and provides code actions and code completion for all available imports. Works with Typescript and TSX.
shell script & Dockerfile & dotenv format
Quickly translate selected text right in your code
Browser Preview for VS Code enables you to open a real browser preview inside your editor that you can debug. Browser Preview is powered by Chrome Headless, and works by starting a headless Chrome instance in a new process. This enables a secure way to render web content inside VS Code, and enables interesting features such as in-editor debugging and more!
FYI:… I HAVE TRIED ENDLESSLEY TO GET THE DEBUGGER TO WORK IN VSCODE BUT IT DOES NOT… I SUSPECT THAT’S WHY IT HAS A 3 STAR RATING FOR AN OTHERWISE PHENOMINAL EXTENSION.
Play interactive tutorials in your favorite editor.
Run code snippet or code file for multiple languages: C, C++, Java, JavaScript, PHP, Python, Perl, Ruby, Go, Lua, Groovy, PowerShell, BAT/CMD, BASH/SH, F# Script, C# Script, VBScript, TypeScript, CoffeeScript, Scala, Swift, Julia, Crystal, OCaml Script
Automatic time reports by project and other programming metrics right in VS Code.
Highlight web colors in your editor
Syntax highlighting for the VS Code Output Panel and log files
Dash integration in Visual Studio Code
Leverage your favourite shell commands to edit text
Editor Config for VS Code
Auto-sync your work to remote FTP server
Highlights matching tags in the file.
A simple extension to make indentation more readable.
Create a secure password using our generator tool. Help prevent a security threat by getting a strong password today.
An open source ecosystem for IoT development: supports 350+ embedded boards, 20+ development platforms, 10+ frameworks. Arduino and ARM mbed compatible.
Polaroid for your code 📸.
Note: Polacode no longer works as of the most recent update… go for Polacode2020 or CodeSnap…
Rapid prototyping playground for JavaScript and TypeScript in VS Code, with access to your project’s files, inline reporting, code coverage and rich output formatting.
Send messages and code snippets, upload files to Slack
Personally I found this extension to slow down my editor in addition to confliction with other extensions: (I have over 200 as of this writing)….. yes I have been made fully aware that I have a problem and need to get help
No real advantage over just using Spotify normally… it’s problematic enough in implementation that you won’t save any time using it. Further, it’s a bit tricky to configure … or at least it was the last time I tried syncing it with my spotify account.
Provides integration with Spotify Desktop client. Shows the currently playing song in status bar, search lyrics and provides commands for controlling Spotify with buttons and hotkeys.
A Powerful SVG Language Support Extension(beta). Almost all the features you need to handle SVG.
View an SVG in the editor and export it as data URI scheme or PNG.
Highlight multiple text patterns with different colors at the same time. Highlighting a single text pattern can be done with the editor’s search functionality, but it cannot highlight multiple patterns at the same time, and this is where this extension comes handy.
Quickly bring up helpful MDN documentation in the editor
In the interest of not making the reader scroll endlessly as I often do… I’ve made a separate post for that here. If you’ve made it this far, I thank you!
My Favorite VSCode Themes
Themesbryanguner.medium.com
bgoonz’s gists
Instantly share code, notes, and snippets. Web Developer, Electrical Engineer JavaScript | CSS | Bootstrap | Python |…gist.github.com
bgoonz — Overview
Web Developer, Electrical Engineer JavaScript | CSS | Bootstrap | Python | React | Node.js | Express | Sequelize…github.com
Web-Dev-Hub
Memoization, Tabulation, and Sorting Algorithms by Example Why is looking at runtime not a reliable method of…bgoonz-blog.netlify.app
By Bryan Guner on March 18, 2021.
Exported from Medium on July 13, 2021.


I am very passionate and disciplined about programming as well as designing and so do I clean code on Python and equally on R to proliferate my abilities in Data Science. Plus I love data visualizations, I play a song of my choice and visualize it my mind I do not watch the video song. Moreover, I love to make web applications like what you are currently looking.
Documentation
Once someone said that Indians are very bad at documentation. Ditch nationality here but I like neat and tidy keeping of my work amidst that I also maintain personal diary. When it comes to scientifc documentation I make all my coursework and personal data on Latex following necessary practices. I damn love it.
Teaching
Runs through my blood and veins, but I know if am best at something I do not work for it freely. I love teaching more than any other skills. Only when I teach I make my brain understand the topic and my mind to conceive about it. Also very eager to know about the technical and crtitical aspects of whatever I observe and turn my best to make it lucid.
I am a YouTube content creator teaching Data Science topics with over 30K+ Subscribers.Currently pursuing my Masters in Data Science from Otto von Guericke University, Germany.


Money Play. How should Red play 43?
pips Red=112 White=60
(CorrectAnswer= 0/0, ErrorScore= 0)
Some areas of containment play are XG’s weakness and it one area where XG3 will be much stronger than its predecessor. However, it copes with this type of position very well.
The bad mistake would be 18/14, 15/12, blocking 66 but considerably reducing shots on White’s other 5’s and 6’s. 13/6 is not unreasonable and will allow Red to hit with a 4 next time if White is still on the 2-pt.
However, 18/15, 16/12 is the correct play. It maximises coverage of the outfield at the cost of a 64 hit. 55 for White wins anyway but 66 leaves a double shot!
13/6 is a 0.047 error. Anything else is at least a blunder.
The bad mistake would be 18/14, 15/12, blocking 66 but considerably reducing shots on White’s other 5’s and 6’s. 13/6 is not unreasonable and will allow Red to hit with a 4 next time if White is still on the 2-pt.
However, 18/15, 16/12 is the correct play. It maximises coverage of the outfield at the cost of a 64 hit. 55 for White wins anyway but 66 leaves a double shot!
13/6 is a 0.047 error. Anything else is at least a blunder.
1. Cubeful 2-ply 18/15 16/12 Eq.: +0.466 0.642 0.034 0.000 - 0.358 0.091 0.000 2. Cubeful 2-ply 13/6 Eq.: +0.435 (-0.031) 0.638 0.032 0.001 - 0.362 0.086 0.001 3. Cubeful 2-ply 18/11 Eq.: +0.368 (-0.097) 0.612 0.033 0.000 - 0.388 0.104 0.000 4. Cubeful 2-ply 14/10 13/10 Eq.: +0.318 (-0.148) 0.586 0.030 0.000 - 0.414 0.075 0.000 5. Cubeful 2-ply 16/9 Eq.: +0.313 (-0.153) 0.589 0.031 0.000 - 0.411 0.101 0.000


|
Welcome to Bitmama
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|
|
Hello {{customer_name}},
|
|
Everyone at Bitmama is excited that you joined us!
|
|
There’s so much you can do with Bitmama, like
sending money to your friends and family and
buying them data, airtime and vouchers.
|
|
Over the next week, you’ll get a few emails from
Thelma, your Bitmama guide. These emails will help
you get familiar with the app.
|
|
We promise not to spam you. (only the truth) If
you ever have questions or comments, tap Support
on the Bitmama menu (it’s at the top of your
Bitmama home screen) or tap your profile picture
then tap support and send a message.
|
|
You can also send a message to<EMAIL_ADDRESS>There’s always someone at Bitmama waiting to help
you.
|
|
Thank you for being a part of our community.
|
|
Keep Trading!
Ruth Iselema
|
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Bookmarklets are "little" snippets of JavaScript code that reside inside of a bookmark or similar and somehow modify or use the current web page that you're viewing. These are specifically made to modify pages on BoardGameGeek.com.
In the upper-right of any BGG page is the QuickBar. Click Edit, and let's make a new link in here. (This can also be done as a bookmark, favorite, or otherwise, but I'll just talk about the QuickBar here.)
Highlight all of the code in this block and copy it (Ctrl+C on Windows):
javascript:(function(){if(window.pvbggAddCassie!==undefined){pvbggAddCassie();}else{document.body.appendChild(document.createElement('script')).src='http://petevasi.github.io/bggBookmarklets/addCassie.js?';}})();
Give your link a name and paste in the JavaScript code into the URL field:
Go to a page where the link will have an effect and click on it. In this case, visit a PBF Werewolf game thread.
The "Add Cassie Links" bookmarklet puts a little icon next to each user's post in the thread. Clicking on the icon will open a window with handy Cassie Werewolf-related links.
Add an icon by each user's forum posts with a menu that has handy Cassie links for PBF Werewolf.
javascript:(function(){if(window.pvbggAddCassie!==undefined){pvbggAddCassie();}else{document.body.appendChild(document.createElement('script')).src='http://petevasi.github.io/bggBookmarklets/addCassie.js?';}})();
A work-in-progress, I'm seeing if I can just hack existing BGG pages to be mobile-friendly.
javascript:(function(){if(window.pvbggMobilize!==undefined){pvbggMobilize();}else{document.body.appendChild(document.createElement('script')).src='http://petevasi.github.io/bggBookmarklets/mobilize.js?';}})();
Sure! Head to the BGG Bookmarklets GitHub page and start your own fork.


Select a full node:
Seed generation:
Seed checksum:
Address index :
Total number:
Adds 9-tryte address checksum
returnAll (If true, it returns all addresses which were deterministically generated (until findTransactions returns null))
AttachtoTangle
Recipient address:
Amount:
Message:


{% extends 'base.html' %} {% block title %}Sign Up{% endblock %} {% block content %}
First Name:
Last Name:
Username: Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.
Email:
Password: Your password must contain at least 8 characters. Your password can't be entirely numeric.
Password confirmation: Enter the same password as before, for verification.


Discoverthreejs.com
Orthographic Camera Controls
Unlike the PerspectCamera,
zooming with OrbitControls
updates camera.zoom
Zoom:
30
Near Clipping Plane:
20
Far Clipping Plane:
50


QSGREP
Section: qsgrep man page (1)
Updated: November 2018
Index
Return to Main Contents
NAME
qsgrep - prints matching patterns within a file.
SYNOPSIS
qsgrep -e <pattern> -o <sub string> [<path>]
DESCRIPTION
qsgrep is a simple tool to search patterns within files. It uses regular expressions to find patterns and prints the submatches within a pre-defined format string.
OPTIONS
- -e <pattern>
-
Specifes the search pattern.
- -o <string>
-
Defines the output string where $0-$9 are substituted by the submatches of the regular expression.
- <path>
-
Defines the input file to process. qsgrep reads from from standard input if this parameter is omitted.
EXAMPLE
Shows the IP addresses of clients causing mod_qos(031) messages):
qsgrep -e 'mod_qos\(031\).*, c=([a-zA-Z0-9:.]*)' -o 'ip=$1' error_log
SEE ALSO
qsdt(1), qsexec(1), qsfilter2(1), qsgeo(1), qshead(1), qslog(1), qslogger(1), qspng(1), qsre(1), qsrespeed(1), qsrotate(1), qssign(1), qstail(1)
AUTHOR
Pascal Buchbinder, http://mod-qos.sourceforge.net/
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- OPTIONS
-
- EXAMPLE
-
- SEE ALSO
-
- AUTHOR
-


STEP - 不积跬步，无以至千里
Version: 1.0.0
Created By: Li Shengli
Appreciate your comments! Please send it to<EMAIL_ADDRESS>thank you.


Term 1
MAD8010 Digital Citizenship
MTM6100 Introduction to DSLR
MTM6130 Responsive Web Design
MTM6160 Digital Graphics
MTM6161 Design Foundations
Term 2
ENL1813M Communications I
MTM6200 Video Foundations
MTM6230 Client-Side Web Development
MTM6231 Content Management Systems I
MTM6260 User Experience Design
Choose one from equivalencies:
GED6149 General Education Elective
Term 3
MTM6300 Motion Graphics
MTM6330 Web Production
MTM6331 Server-Side Web Development
MTM6360 Applied Projects I
MTM6361 Project Management Skills
Choose one from equivalencies:
GED6149 General Education Elective
Term 4
ENL6007 Professional Communication for Interactive Media Design
MTM6460 Applied Projects II
MTM6461 Digital Publishing
Elective: choose 2
MTM6400 Media Production
MTM6401 Web VIdeo Production
MTM6430 Web Applications
MTM6431 Content Management Systems II


You've encountered a stellar accretion disk. This could take a while.
73500000000000000000000
Turn this dusty old rock into a star!
Click the round button to add mass directly. When you can afford them, Automatter machines will radidly accumulate mass for you, plus your click will add more mass!


Tutorial for Superset Administrators¶
This tutorial targets a Superset administrator: someone configuring Superset for an organization on behalf of users. We’ll show you how to connect Superset to a new database and configure a table in that database for analysis. You’ll also explore the data you’ve exposed and add a visualization to a dashboard so that you get a feel for the end-to-end user experience.
Connecting to a new database¶
We assume you already have a database configured and can connect to it from the instance on which you’re running Superset. If you’re just testing Superset and want to explore sample data, you can load some sample PostgreSQL datasets into a fresh DB, or configure the example weather data we use here.
Under the Sources menu, select the Databases option:
On the resulting page, click on the green plus sign, near the top left:
You can configure a number of advanced options on this page, but for this walkthrough, you’ll only need to do two things:
- Name your database connection:
- Provide the SQLAlchemy Connection URI and test the connection:
This example shows the connection string for our test weather database. As noted in the text below the URI, you should refer to the SQLAlchemy documentation on creating new connection URIs for your target database.
Click the Test Connection button to confirm things work end to end. Once Superset can successfully connect and authenticate, you should see a popup like this:
Moreover, you should also see the list of tables Superset can read from the schema you’re connected to, at the bottom of the page:
If the connection looks good, save the configuration by clicking the Save button at the bottom of the page:
Adding a new table¶
Now that you’ve configured a database, you’ll need to add specific tables to Superset that you’d like to query.
Under the Sources menu, select the Tables option:
On the resulting page, click on the green plus sign, near the top left:
You only need a few pieces of information to add a new table to Superset:
- The name of the table
- The target database from the Database drop-down menu (i.e. the one you just added above)
- Optionally, the database schema. If the table exists in the “default” schema (e.g. the public schema in PostgreSQL or Redshift), you can leave the schema field blank.
Click on the Save button to save the configuration:
When redirected back to the list of tables, you should see a message indicating that your table was created:
This message also directs you to edit the table configuration. We’ll edit a limited portion of the configuration now - just to get you started - and leave the rest for a more advanced tutorial.
Click on the edit button next to the table you’ve created:
On the resulting page, click on the List Table Column tab. Here, you’ll define the way you can use specific columns of your table when exploring your data. We’ll run through these options to describe their purpose:
- If you want users to group metrics by a specific field, mark it as Groupable.
- If you need to filter on a specific field, mark it as Filterable.
- Is this field something you’d like to get the distinct count of? Check the Count Distinct box.
- Is this a metric you want to sum, or get basic summary statistics for? The Sum, Min, and Max columns will help.
- The is temporal field should be checked for any date or time fields. We’ll cover how this manifests itself in analyses in a moment.
Here’s how we’ve configured fields for the weather data. Even for measures like the weather measurements (precipitation, snowfall, etc.), it’s ideal to group and filter by these values:
As with the configurations above, click the Save button to save these settings.
Exploring your data¶
To start exploring your data, simply click on the table name you just created in the list of available tables:
By default, you’ll be presented with a Table View:
Let’s walk through a basic query to get the count of all records in our table. First, we’ll need to change the Since filter to capture the range of our data. You can use simple phrases to apply these filters, like “3 years ago”:
The upper limit for time, the Until filter, defaults to “now”, which may or may not be what you want.
Look for the Metrics section under the GROUP BY header, and start typing “Count” - you’ll see a list of metrics matching what you type:
Select the COUNT(*) metric, then click the green Query button near the top of the explore:
You’ll see your results in the table:
Let’s group this by the weather_description field to get the count of records by the type of weather recorded by adding it to the Group by section:
and run the query:
Let’s find a more useful data point: the top 10 times and places that recorded the highest temperature in 2015.
We replace weather_description with latitude, longitude and measurement_date in the Group by section:
And replace COUNT(*) with max__measurement_flag:
The max__measurement_flag metric was created when we checked the box under Max and next to the measurement_flag field, indicating that this field was numeric and that we wanted to find its maximum value when grouped by specific fields.
In our case, measurement_flag is the value of the measurement taken, which clearly depends on the type of measurement (the researchers recorded different values for precipitation and temperature). Therefore, we must filter our query only on records where the weather_description is equal to “Maximum temperature”, which we do in the Filters section at the bottom of the explore:
Finally, since we only care about the top 10 measurements, we limit our results to 10 records using the Row limit option under the Options header:
We click Query and get the following results:
In this dataset, the maximum temperature is recorded in tenths of a degree Celsius. The top value of 1370, measured in the middle of Nevada, is equal to 137 C, or roughly 278 degrees F. It’s unlikely this value was correctly recorded. We’ve already been able to investigate some outliers with Superset, but this just scratches the surface of what we can do.
You may want to do a couple more things with this measure:
- The default formatting shows values like 1.37k, which may be difficult for some users to read. It’s likely you may want to see the full, comma-separated value. You can change the formatting of any measure by editing its config (Edit Table Config > List Sql Metric > Edit Metric > D3Format)
- Moreover, you may want to see the temperature measurements in plain degrees C, not tenths of a degree. Or you may want to convert the temperature to degrees Fahrenheit. You can change the SQL that gets executed agains the database, baking the logic into the measure itself (Edit Table Config > List Sql Metric > Edit Metric > SQL Expression)
For now, though, let’s create a better visualization of these data and add it to a dashboard.
We change the Chart Type to “Distribution - Bar Chart”:
Our filter on Maximum temperature measurements was retained, but the query and formatting options are dependent on the chart type, so you’ll have to set the values again:
You should note the extensive formatting options for this chart: the ability to set axis labels, margins, ticks, etc. To make the data presentable to a broad audience, you’ll want to apply many of these to slices that end up in dashboards. For now, though, we run our query and get the following chart:
Creating a slice and dashboard¶
This view might be interesting to researchers, so let’s save it. In Superset, a saved query is called a Slice.
To create a slice, click the Save as button near the top-left of the explore:
A popup should appear, asking you to name the slice, and optionally add it to a dashboard. Since we haven’t yet created any dashboards, we can create one and immediately add our slice to it. Let’s do it:
Click Save, which will direct you back to your original query. We see that our slice and dashboard were successfully created:
Let’s check out our new dashboard. We click on the Dashboards menu:
and find the dashboard we just created:
Things seemed to have worked - our slice is here!
But it’s a bit smaller than we might like. Luckily, you can adjust the size of slices in a dashboard by clicking, holding and dragging the bottom-right corner to your desired dimensions:
After adjusting the size, you’ll be asked to click on the icon near the top-right of the dashboard to save the new configuration.
Congrats! You’ve successfully linked, analyzed, and visualized data in Superset. There are a wealth of other table configuration and visualization options, so please start exploring and creating slices and dashboards of your own.


Vicky Steeves & Nicholas Wolf | April 8, 2017
Vicky's ORCID: 0000-0003-4298-168X | Nick's ORCID: 0000-0001-5512-6151
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
1. Cost
1. Cost
We pause to mention:
2. Technology
"I don't have time to teach myself or my students a new tool."
"I won't be as supported as I am with XYZ company."
"I don't trust tools without a company behind it. Who knows if it'll go away?"
"This made my research more reproducible!"
"The community provides great resources for learning."
"I've actually contributed to the software! Awesome!"
Email us<EMAIL_ADDRESS>&<EMAIL_ADDRESS>Learn more about RDM: guides.nyu.edu/data_management
Get this presentation: guides.nyu.edu/data_management/resources
Make an appointment: guides.nyu.edu/appointment
Vicky's ORCID: 0000-0003-4298-168X | Nick's ORCID: 0000-0001-5512-6151
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


|
Unity Overlay Toolkit
|
Classes | |
| class | PoseDataSource |
| The PoseDataSource class acts as a container for the GetDatafromSource method call that should be used by PoseProviders wanting to query data for a particular pose. | |
| class | TrackedPoseDriver |
| The TrackedPoseDriver component applies the current Pose value of a tracked device to the transform of the GameObject. TrackedPoseDriver can track multiple types of devices including XR HMDs, controllers, and remotes. More... | |
| class | TrackedPoseDriverDataDescription |
| class | TrackedPoseDriverEditor |
| class | TrackedPoseDriverTests |
Enumerations | |
| enum | PoseDataFlags { PoseDataFlags.NoData = 0, PoseDataFlags.Position = 1 << 0, PoseDataFlags.Rotation = 1 << 1 } |
| Bitflag enum which represents what data was set on an associated Pose struct More... | |
|
strong |
Bitflag enum which represents what data was set on an associated Pose struct


{% include project_head.html %}
{% include project_nav.html %} {% include project_header.html %} {% include project_footer.html %} {% include project_js.html %}


Parses microformats, RDFa, Microdata, RDF/XML, Turtle, N-Triples and NQuads.
http://.../best/twitter.com/cygri
http://.../rdfxml/http://data.gov
http://.../ttl/http://www.w3.org/People/Berners-Lee/card
http://.../?uri=http://dbpedia.org/resource/Berlin
http://.../?format=nt&uri=http://dbpedia.org/resource/Berlin
HTTP GET requests can be made to URIs of the shape
http://.../format/input-uri
The response is the input document converted to the desired output format.
HTTP GET requests can be made to
the URI
http://.../
with the following
query parameters:
| uri | URI of an input document |
|---|---|
| format | Desired output format, defaults to best |
The response is the input document converted to the desired output format.
HTTP POSTing a document body to
http://.../format
will convert
the document to the specified output format.
The media type of the input
has to be specified in the Content-Type
HTTP header.
Depending on the servlet container, a Content-Length
header specifying
the length of the input document in bytes might also be required.
Typical media types for supported input formats are:
| Input format | Media type |
|---|---|
| HTML | text/html |
| RDF/XML | application/rdf+xml |
| Turtle | text/turtle |
| N-Triples | text/plain |
| N-Quads | text/plain |
Example POST request:
POST /rdfxml HTTP/1.0 Host: example.com Content-Type: text/turtle Content-Length: 174 @prefix foaf: <http://xmlns.com/foaf/0.1/> . [] a foaf:Person; foaf:name "John X. Foobar"; foaf:mbox_sha1sum "cef817456278b70cee8e5a1611539ef9d928810e"; .
A document body can also be converted by HTTP POSTing form data to
http://.../
.
The Content-Type
HTTP header must be set to
application/x-www-form-urlencoded
. The following
parameters are supported:
| type | Media type of the input, see the table above. If not present, auto-detection will be attempted. |
|---|---|
| body | Document body to be converted |
| format | Desired output format; defaults to best |
Supported output format identifiers are:
best
for content negotiation according to the client's Accept
HTTP headerturtle
, ttl
, n3
for
Turtle/N3ntriples
, nt
for
N-Triplesnquads
, nq
for
N-Quadsrdfxml
, rdf
, xml
for
RDF/XMLjson
for JSONProcessing errors are indicated via
HTTP status codes and brief text/plain
error messages.
The following status codes can be returned:
| Code | Reason |
|---|---|
| 200 OK | Success |
| 400 Bad Request | Missing or malformed input parameter |
| 404 Not Found | Malformed request URI |
| 406 Not Acceptable | None of the media types specified in the Accept header are supported |
| 415 Unsupported Media Type | Document body with unsupported media type was POSTed |
| 501 Not Implemented | Extraction from input was successful, but yielded zero triples |
| 502 Bad Gateway | Input document from a remote server could not be fetched or parsed |
The XML report format is subjected to changes. The current content is described in section Any23 Service.
Any23<EMAIL_ADDRESS>Any23 project homepage | Hosted at DERI, NUI Galway
If the Fix checkbox is activated, Any23 tries to fix some common RDFa mistakes before performing the extraction. Fixing is performed according a set of fully customizable rules. Please refer to the developer guide for any further detail.
If the Report and Fix checkboxes are both activated, Any23 wraps the RDF extracted triples with an XML response providing a short report on which RDFa errors have been detected and which rules have been triggered to perform the fix. Please refer to the developer guide for any further detail.


You can find everything related to devon4j code on this page, from the main repository to our Jenkins pipeline.


Build My App bridges the gap between developers and people with good ideas, allowing them to collaborate on projects like never before.
Plethora of project ideas to choose from, to collaborate with people and create meaningful applications.
It takes no time at all to put down your project ideas and be on your way to finding a compatible developer to make app come to life.
Work with a developer that shares your passions and has the necessary skills to complete your project based on their previous work and bio.
Maintain your profile where developers or project owners can view your past work to get a better idea of what you stand for.
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