In the latest episode of JAMstack Radio, Brian invites Rafael Conde, Kaelig Deloumeau-Prigent & Craig Wattrus to share their experiences building design systems. They discuss why companies need to invest in design systems as they begin to feel the pain of scaling design principles. They also examine the benefits of design systems such as improving the designer on-boarding process, and caution against allowing designers to become complacent in design.
GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. I will walk through setting up GraphQL in a React project that saves notes on interesting open source projects using Graphcool as a GraphQL backend as a service and Apollo as a front-end GrpahQL client.
Featuring our very own Brian Douglas on JAMstack Radio.
Ep. #17, The Rise of Design Systems Featuring Kaelig Deloumeau-Prigent & Craig Wattrus & Rafael Conde & /
In the latest episode of JAMstack Radio, Brian invites Rafael Conde, Kaelig Deloumeau-Prigent & Craig Wattrus to share their experiences building design systems. They discuss why companies need to invest in design systems as they begin to feel the pain of scaling design principles. They also examine the benefits of design systems such as improving the designer on-boarding process, and caution against allowing designers to become complacent in design.


The Flintstones in Viva Rock Vegas (2000) 1/2 star out of 4. Starring Mark Addy, Stephen Baldwin, Kristin Johnston, Jane Krakowski, Alan Cumming, Joan Collins, Thomas Gibson and Harvey Korman
The line in "The Flintstones' " theme song says `you'll have a gay old time.'
Maybe, but not by watching "The Flintstones in Viva Rock Vegas."
I cannot stress how bad a movie this is. My proof? About 40 little kids were in the audience at the preview screening, and the theater remained as quiet as the La Brea tar pits, which, by the way, is where they should sink all the prints of this stinker.
"Viva Rock Vegas" is so bad, that even Joan Collins - who disgracefully hams it up as Wilma's mother - would probably not write it on her resume, and she starred in such stinkers as "The Stud" and "The Bitch," both of which are rated as bombs in "Leonard Maltin's Film and Video Guide."
This movie is nearly amateurish. It plays like a prolonged skit at a Universal theme park. The sets and costumes are just as tacky.
Every prehistoric cliché you can think of is thrown at the audience.
Even some of the animatronic dinosaurs show more spark than the actors.
OK, to be fair, the movie has a couple of redeeming qualities. Stephen Baldwin does a fine Barney Rubble impression, while Mark Addy, familiar to American audiences for his role in "The Fully Monty", does a very good Fred. Both sound like their cartoon counterparts. And Alan Cumming is funny as rock star Mick Jagged.
Others in the cast include Kristen Johnston as Wilma, Jane Krakowski as Betty, as well as Thomas Gibson and Harvey Korman.
Still, that is not enough to lure audiences to this mess. Frankly, it's just flat. And not because it is aimed at kids, but because it is so tacky and lame. The humor is mostly verbal when it should have relied on slapstick. The pace is too slow and, at just over 90 minutes, the movie runs too long.
"Viva Rock Vegas" is one fossil that should have remained buried.
Bob Bloom is the film critic at the Journal and Courier in Lafayette, IN. He can be reached by e-mail at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>Bloom, an associate member of the Online Film Critics Society, has his reviews posted at http://www.imdb.com/M/reviews_by?Bob+Bloom
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Send Love. Spread Love.
You should text your loved ones everyday.
This app makes it easy.
Just click the message
I
you
I
being your friend


The PostgreSQL server is an SQL-compliant data server. This preference pane allows you to install a PostgreSQL server on your computer, and provides facilities for data backup and access control.


content_indexer v0.2.5 API Reference
Modules
Documentation for ContentIndexer
struct to store the details of what data is held in the index
It provides a new/2
function for instantiating the struct that includes a generated UUID
Summary
Indexer is a Genserver that holds the index state - basically a list of index structs that have the filename, tokens and weights
Each time an index struct is added to the server/index the weightings are re-calculated. Since they are stored in memory the index searching is fast
Summary
calculates the content_indexer weights for a document of tokens against a corpus of tokenized documents
Summary
ListCheckerServer is the OTP server that uses Genserver to handle the
interactions with the individual workers and the parent caller
The ListCheckerWorkers each process a list of tokens
and checks that list for a given token. Once it is done a message is
returned to the ListCheckerServer.
The server in turn sends a message to the callee - advising it once the whole
list of token lists has been checked successfully!
genserver based approach to the ListCheckerWorker Summary
ListCheckerWorker is the OTP actor that handles the actual ContentIndexerService.list_contains to check
whether a given word is contained in a list of tokens
content and query pre-process functions that are passed to the SearchUtils.compile and SearchUtils.compile_query functions - here we are just some some extra stuf with a markdown file - i.e. removing the header
utility functions to crawl a folder with files and extract content - the actual processing of the content is handled by the file_pre_process_func function that we are using from the ContentIndexer.Services.PreProcess module - however this can easily be swapped out by passing your own pre-process
Summary This module accepts a list of tuples which contain the document id and a hash of terms and and their TF_IDF weights, it also accepts query terms in the form of a hash of terms and weights, same format as in the tuple above
Summary
Corpus is a Genserver that simply holds the total number of docs in the index
Summary
functions used by the ContentIndexer.TfIdf.Corpus.Server
Summary
Corpus is a Genserver that simply holds the total number of docs in the index
Summary
DocCounts is a GenServer that contains a map of documents with their respective
total number of terms in the document
Summary
functions used by the ContentIndexer.TfIdf.DocCounts.Server
Summary DocCounts is a GenServer that contains a map of documents with their respective total number of terms in the document
Summary DocTerms is a GenServer with a Map of tuples that has the document, and a count of each of the terms in the document
Summary
functions used by the ContentIndexer.TfIdf.DocTerms.Server
Summary DocTerms is a GenServer with a Map of tuples that has the document, and a count of each of the terms in the document
small module to group and count the number of token occurrences in a list of tokens
Summary TermCounts is a GenServer that contains the numbers of documents that have a term ‘t’ Basically a map of all unique terms and their respective counts i.e. 1 per for each document that has this term
Summary
functions used by the ContentIndexer.TfIdf.TermCounts.Server
Summary TermCounts is a GenServer that contains the numbers of documents that have a term ‘t’ Basically a map of all unique terms and their respective counts i.e. 1 per for each document that has this term
Summary The WeightsIndex is the actual tf_idf list stored by document_name


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If you haven’t already, it’s worth speaking to your GP about fertility treatment even if you’ve decided to have treatment privately. In addition to advising you on whether you can be treated on the NHS, they’ll be able to refer you for some initial tests and give you an overview of the main treatment options.
{{ include('partials/section-heading.html', { title: 'Think about funding', }) }}Consider if you want to try and get treatment on the NHS, or pay to have it done privately. Eligibility criteria for NHS funding varies across the country – talk to your GP about what’s available in your area. There are also big variations in costs for private treatment so it’s worth shopping around. Find out more about funding options.
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{{ include('partials/section-heading.html', { title: 'How you can help others ', }) }}Depending on the type of treatment you have, you may have leftover eggs or embryos which you don’t want to use yourself. At this point you can choose to donate your embryos or eggs to other women or couples in need. Some clinics also offer discounted treatment for women who donate their fertility in this way – talk to your clinic for further info.


This is a first blog post about Writing Macros in Scala. This blog post covers two interesting pairs of macros dealing with case classes. The macros of the first pair translate case classes to tuples, and tuples to case classes. The macros of the second pair translate case classes to maps, and maps to case classes.
Remark:
The macros presented in this blog can be found elsewhere on the internet.
We tried to reuse as much code as possible for both pairs of macros using a Common
singleton object. Moreover, we end by adding a bit of extra code of our own as well.
Case classes and Tuples
The tranformations from case classes Z
to tuples T
and from tuples T
to case classes Z
can be formalized as follows
trait ToTuple[Z, T] {
def toTuple(z: Z): T
}
trait FromTuple[Z, T] {
def fromTuple(t: T): Z
}
The toTuple
and fromTuple
functions
It turns out that it is convenient to define implicit macros of type ToTuple[Z, T]
and FromTuple[Z, T]
.
Assuming the existence of such macros, it is also convenient to define functions
toTuple
and fromTuple
that implicitly
make use of them
def toTuple[Z: ({ type ToTuple_[Z] = ToTuple[Z, T] })#ToTuple_, T](z: Z): T =
implicitly[ToTuple[Z, T]].toTuple(z)
def fromTuple[Z: ({ type FromTuple_[Z] = FromTuple[Z, T] })#FromTuple_, T](t: T): Z =
implicitly[FromTuple[Z, T]].fromTuple(t)
The definitions above make use of type constructors ToTuple_
resp. FromTuple_
,
having one type parameter, that are obtained by partially binding the
the type T
to the second type parameter of the type constructors ToTuple
resp. FromTuple
,
having two type parameters.
An example case class
Consider the case class
case class Person(name: String, age: Int)
The tuple class corresponding to this case class is
(String, Int)
Here is the code that a macro should generate to convert a Person
instance
to a (String, Int)
instance
new ToTuple[Person, (String, Int)] {
def toTuple(z: Person) = (z.name, z.age)
}
Here is the code that a macro should generate to convert a (String, Int)
instance
to a Person
instance
new FromTuple[Person, (String, Int)] {
def fromTuple(t: (String, Int)) = Person(t._1, t._2)
}
So, what is the information that we require at compile time for being able to generate this code?
- we require the string
"Person"
- we require the strings
"String"
and"Int"
- we require the strings
"name"
and"age"
- we require the number
2
to generate the strings"1"
and"2"
The last requirement is not really needed if we replace the first three requirements above by
- we require the string
"Person"
- we require the list of strings containing
"String"
and"Int"
- we require the list of strings containing
"name"
and"age"
because the lists above have size 2
.
So how can we obtain all those required strings?
The getFieldNamesAndTypes
method
The following code is all we need to obtain the required strings
trait Common {
def getFieldNamesAndTypes(c: Context)(tpe: c.universe.Type):
Iterable[(c.universe.Name, c.universe.Type)] = {
import c.universe._
object CaseField {
def unapply(trmSym: TermSymbol): Option[(Name, Type)] = {
if (trmSym.isVal && trmSym.isCaseAccessor)
Some((newTermName(trmSym.name.toString.trim), trmSym.typeSignature))
else
None
}
}
tpe.declarations.collect {
case CaseField(nme, tpe) =>
(nme, tpe)
}
}
}
The code above has a Context
parameter c
, using which we can obtain all
the types we need using import c.universe._
.
The only information available to start generating code from is tpe
, having type Type
.
The object CaseField
’s unapply
method can be used to_ extract_ the
information that we need from the declarations of tpe
,
using a collection that uses an appropriate CaseField
pattern matching partial function.
Maybe, by looking at the code, you may wonder why it uses
the somewhat complex expression newTermName(trmSym.name.toString.trim)
instead
of the much simpler expression trmSym.name
.
Writing macros is still somewhat of a black art.
It turns out that using trmSym.name
would result in strings
"name "
and "age "
, with an extra blank at the end,
and we can get rid of that extra blank using
the more complex expression newTermName(trmSym.name.toString.trim)
.
The toTupleMacro
macro
Using the getFieldNamesAndTypes
method we can now define the
implicit toTupleMacro
as follows
object ToTuple extends Common {
implicit def toTupleMacro[Z, T]: ToTuple[Z, T] = macro toTupleMacroImpl[Z, T]
def toTupleMacroImpl[Z: c.WeakTypeTag, T](c: Context): c.Expr[ToTuple[Z, T]] = {
import c.universe._
val tpe: Type = weakTypeOf[Z]
val (nmes, tpes) = getFieldNamesAndTypes(c)(tpe).unzip
val fldSels: Iterable[Select] = nmes.map { nme =>
q"""
z.$nme
"""
}
val toTuple: Tree =
q"""
new ToTuple[$tpe, (..$tpes)] {
def toTuple(z: $tpe) = (..$fldSels)
}
"""
c.Expr[ToTuple[Z, T]](toTuple)
}
}
The macro, in this case one of type ToTuple[Z, T]
, is declared using a macro
keyword.
The macro is definied using a method of type c.Expr
,
in this case of type c.Expr[ToTuple[Z, T]]
.
The method has an extra parameter of type Context
.
The macro makes use of quasi-quotes, the preferred way to generate code. We use unzip
to turn a list of tuples into a tuple of lists. The tpes
can be used as such in the
quasi-quote expression that defines toTuple
. The nmes
can be used to define field selections
fldSels
that can be used in the quasi-quote expression that defines toTuple
.
The variable toTuple
has type Tree
and the macro needs a c.Expr[ToTuple[Z, T]]
type. Therefore we wrap toTuple
into an expression of type c.Expr[ToTuple[Z, T]]
.
The fromTupleMacro
macro
Using the getFieldNamesAndTypes
method we can now define the
implicit fromTupleMacro
as follows
object FromTuple extends Common {
implicit def fromTupleMacro[Z, T]: FromTuple[Z, T] = macro fromTupleMacroImpl[Z, T]
def fromTupleMacroImpl[Z: c.WeakTypeTag, T](c: Context): c.Expr[FromTuple[Z, T]] = {
import c.universe._
val tpe: Type = weakTypeOf[Z]
val (nmes, tpes) = getFieldNamesAndTypes(c)(tpe).unzip
def prj(i: Int): TermName = newTermName("_" + i)
val prjs: Seq[Select] = (1 to nmes.toSeq.size).map { i =>
q"""
t.${prj(i)}
"""
}
val tpeSym: Symbol = tpe.typeSymbol.companionSymbol
val fromTuple: Tree =
q"""
new FromTuple[$tpe, (..$tpes)] {
def fromTuple(t: (..$tpes)) = ${tpeSym}(..$prjs)
}
"""
c.Expr[FromTuple[Z, T]](fromTuple)
}
}
The macro, in this case one of type FromTuple[Z, T]
, is declared using a macro
keyword.
The macro is definied using a method of type c.Expr
,
in this case of type c.Expr[FromTuple[Z, T]]
.
The method has an extra parameter of type Context
.
The macro makes use of quasi-quotes, the preferred way to generate code. We use unzip
to turn a list of tuples into a tuple of lists. The tpes
can be used as such in the
quasi-quote expression that defines fromTuple
. The nmes
can be used to define projections
prjs
that can be used in the quasi-quote expression that defines fromTuple
.
We also need tpeSym
the type symbol of the companion object of the case class.
The variable fromTuple
has type Tree
and the macro needs a c.Expr[FromTuple[Z, T]]
type. Therefore we wrap fromTuple
into an expression of type c.Expr[FromTuple[Z, T]]
.
Here is an example
object MacroApp extends App {
case class Person(name: String, age: Int)
val person = new Person("John", 40)
println(toTuple(person))
println(fromTuple[Person, (String, Int)](("John", 40)))
}
printing
(John,40)
Person(John,40)
Case classes and Maps
The tranformations
from case classes Z
to maps Map[String, Any]
and
from maps Map[String, Any]
to case classes Z
can be formalized as follows
type M = Map[String, Any]
trait Store[Z] {
def store(z: Z): M
}
trait Load[Z] {
def load(m: M): Z
}
The store
and load
functions
It turns out that it is convenient to define implicit macros of type Store[Z]
and Load[Z]
.
Assuming the existence of such macros, it is also convenient to define functions
store
and load
that implicitly
make use of them
def store[Z: Store](z: Z): M =
implicitly[Store[Z]].store(z)
def load[Z: Load](m: M): Z =
implicitly[Load[Z]].load(m)
An example case class
Consider the case class
case class Person(name: String, age: Int)
Here is the code that a macro should generate to convert a Person
instance
to an M
instance
new Store[Person] {
def store(z: Person): M =
Map("name" -> z.name, "age" -> z.age)
}
Here is the code that a macro should generate to convert an M
instance
to a Person
instance
new Load[Person] {
def load(m: M): Person =
Person(m("name").asInstanceOf[String], m("age").asInstanceOf[Int])
}
The information that we require at compile time
for being able to generate this code is exactly the same
as when converting from and to tuples, so we can reuse
the getFieldNamesAndTypes
method.
The storeMacro
macro
Using the getFieldNamesAndTypes
method we can now define the
implicit storeMacro
as follows
object Store extends Common {
implicit def storeMacro[Z]: Store[Z] = macro storeMacroImpl[Z]
def storeMacroImpl[Z: c.WeakTypeTag](c: Context): c.Expr[Store[Z]] = {
import c.universe._
val tpe: Type = weakTypeOf[Z]
val mpgs: Iterable[Apply] =
getFieldNamesAndTypes(c)(tpe).map {
case (nme, tpe) =>
q"""
${nme.decoded} -> z.${nme}
"""
}
val store: Tree =
q"""
new Store[$tpe] {
def store(z: $tpe): M =
Map(..$mpgs)
}
"""
c.Expr[Store[Z]](store)
}
}
The macro, in this case one of type Store[Z]
, is declared using a macro
keyword.
The macro is definied using a method of type c.Expr
,
in this case of type c.Expr[Store[Z]]
.
The method has an extra parameter of type Context
.
The macro makes use of quasi-quotes, the preferred way to generate code.
getFieldNamesAndTypes(c)(tpe)
can be used to define mappings
mpgs
that can be used in the quasi-quote expression that defines store
.
The mappings use the field names in two ways: with and without double-quotes.
The variable store
has type Tree
and the macro needs a c.Expr[Store[Z]]
type. Therefore we wrap store
into an expression of type c.Expr[Store[Z]]
.
The loadMacro
macro
Using the getFieldNamesAndTypes
method we can now define the implicit loadMacro
as follows
object Load extends Common {
implicit def loadMacro[Z]: Load[Z] = macro loadMacroImpl[Z]
def loadMacroImpl[Z: c.WeakTypeTag](
c: Context): c.Expr[Load[Z]] = {
import c.universe._
val tpe: Type = weakTypeOf[Z]
val args: Iterable[Tree] =
getFieldNamesAndTypes(c)(tpe).map {
case (nme, tpe) =>
q"""
m(${nme.decoded}).asInstanceOf[${tpe}]
"""
}
val tpeSym: Symbol = tpe.typeSymbol.companionSymbol
val load: Tree =
q"""
new Load[$tpe] {
def load(m: M): $tpe =
${tpeSym}(..$args)
}
"""
c.Expr[Load[Z]](load)
}
}
The macro, in this case one of type Load[Z]
, is declared using a macro
keyword.
The macro is definied using a method of type c.Expr
,
in this case of type c.Expr[Load[Z]]
.
The method has an extra parameter of type Context
.
The macro makes use of quasi-quotes, the preferred way to generate code.
getFieldNamesAndTypes(c)(tpe)
can be used to define case class constructor arguments
args
that can be used in the quasi-quote expression that defines load
.
We also need tpeSym
the type symbol of the companion object of the case class.
The variable load
has type Tree
and the macro needs a c.Expr[Load[Z]]
type. Therefore we wrap load
into an expression of type c.Expr[Load[Z]]
.
Here is an example
object MacroApp extends App {
case class Person(name: String, age: Int)
val person = new Person("John", 40)
println(store(person))
println(load[Person, (String, Int)](Map("name" -> "John", "age" -> 40)))
}
printing
Map(name -> John, age -> 40)
Person(John,40)
Loading and Storing other types
Now that we know how to load and store case class instances, what about other classes? If there exist bidirectional mappings from a class to a case class, then we can use those mappings to load and store instances of that class. The way those bidirectional mappings can be used is formalized as follows
def lift[Z, Y](z2y: Z => Y): Load[Z] => Load[Y] =
lz => new Load[Y]() {
def load(m: M) = z2y(lz.load(m))
}
def tfil[Z, Y](z2y: Z => Y): Store[Y] => Store[Z] =
sy => new Store[Z]() {
def store(s: Z) = sy.store(z2y(s))
}
def lift2load[Z: Load, Y](z2y: Z => Y): Load[Y] =
lift(z2y)(implicitly[Load[Z]])
def tfil2store[Z, Y: Store](z2y: Z => Y): Store[Z] =
tfil(z2y)(implicitly[Store[Y]])
We have called the first function lift
and the second one tfil
to emphasize that
lift
is covariant (the arrow direction is preserved) and
tfil
contravariant (the arrow direction has changed).
Here is a first example
class Customer(val named: String, val aged: Int)
def person2customer(person: Person) = new Customer(person.name, person.age)
def customer2person(customer: Customer) = Person(customer.named, customer.aged)
println(lift2load(person2customer).load(Map("name" -> "John", "age" -> 40)))
println(tfil2store(customer2person).store(new Customer("John", 40)))
printing
Customer(John,40)
Map(name -> John, age -> 40)
Here is a second example, making use of the bidirectional mappings from case classes to tuples
println(lift2load(toTuple[Person, (String, Int)]).load(Map("name" -> "John", "age" -> 40)))
println(tfil2store(fromTuple[Person, (String, Int)]).store(("John", 40)))
printing
(John,40)
Map(name -> John, age -> 40)


{% load scheduletags %} {% load i18n %}
| {% trans "Starts" %} | {% blocktrans with o.occurrence.start|date:_("DATETIME_FORMAT") as start_date %}{{ start_date }}{% endblocktrans %} |
| {% trans "Ends" %} | {% blocktrans with o.occurrence.end|date:_("DATETIME_FORMAT") as end_date %}{{ end_date }}{% endblocktrans %} |
| {% trans "Reoccurs" %} | {{o.occurrence.event.rule}} |
| {% trans "Until" %} | {% blocktrans with o.occurrence.event.end_recurring_period|date:_("DATETIME_FORMAT") as end_date %}{{ end_date }}{% endblocktrans %} |
{{o.occurrence.description}}
{% endif %}


3 Applications
Some significant applications are demonstrated in this chapter.
3.1 Chords
chorrrds
is a package to retrieve and analyse music data. It scrapes
the Cifraclub website to download and
organize music chords. Th package was created during my undergrad’s
thesis. In that work, I did an end-to-end analysis, exploring feature
engineering techniques to describe and predict musical genres from music chord
representation. In this section we will how to use the chorrrds
functions and show some usage examples.
3.1.1 Installation
You can install chorrrds
from your favourite CRAN mirror, simply running:
install.packages("chorrrds")
You can also install the latest versios of chorrrds
from the
R-Music GitHub organization with:
# install.packages("devtools")
devtools::install_github("r-music/chorrrds")
3.1.2 Functions
The main function of the package is called get_chords()
. It
extracts music chords from an specific artist. There is two
steps to obtain the data:
- Extraction of song urls for each music of an artist with
get_songs
. - Extraction of music chords using the urls with
get_chords
.
library(tidyverse)
songs <- "janis-joplin" %>%
chorrrds::get_songs()
At this point, the chorrrd
object contains the url to be accessed via
webscraping and the name of each song. Next, we actually extract their
music chords with the get_chords
function:
chords <- songs %>%
dplyr::pull(url) %>%
purrr::map(chorrrds::get_chords) %>% # Mapping the function over the
# selected urls
purrr::map_dfr(dplyr::mutate_if, is.factor, as.character) %>%
chorrrds::clean(message = FALSE) # Cleans the dataset, in case
# strange elements, as music lyrics,
# are present when they shouldn't
| chord | key | music | long_str |
|---|---|---|---|
| F | A# | janis joplin a woman left lonely | 5 |
| Dadd9 | A# | janis joplin a woman left lonely | 5 |
| Dsus4/9 | A# | janis joplin a woman left lonely | 5 |
| D5 | A# | janis joplin a woman left lonely | 5 |
| Dadd9 | A# | janis joplin a woman left lonely | 5 |
| Dsus4/9 | A# | janis joplin a woman left lonely | 5 |
| D5 | A# | janis joplin a woman left lonely | 5 |
| G | A# | janis joplin a woman left lonely | 5 |
| C | A# | janis joplin a woman left lonely | 5 |
| G | A# | janis joplin a woman left lonely | 5 |
The table above shows us how are the results of the get_chords
function. As we can see, the data is in a long format: the chords
appear in the sequence they are in each music, being repeated
sometimes. The music
column contains the name of the artist
and the name of the song. This can be changed if preferred,
with:
chords <- chords %>%
tidyr::separate(music, c("artist", "music"),
sep = "(?<=joplin) ", extra = "merge")
| chord | key | artist | music | long_str |
|---|---|---|---|---|
| F | A# | janis joplin | a woman left lonely | 5 |
| Dadd9 | A# | janis joplin | a woman left lonely | 5 |
| Dsus4/9 | A# | janis joplin | a woman left lonely | 5 |
| D5 | A# | janis joplin | a woman left lonely | 5 |
| Dadd9 | A# | janis joplin | a woman left lonely | 5 |
| Dsus4/9 | A# | janis joplin | a woman left lonely | 5 |
| D5 | A# | janis joplin | a woman left lonely | 5 |
| G | A# | janis joplin | a woman left lonely | 5 |
| C | A# | janis joplin | a woman left lonely | 5 |
| G | A# | janis joplin | a woman left lonely | 5 |
3.1.3 Data
There are many datasets that already come with the package. They were used in the undergrad thesis, so it was a choice just to keep it in the package. The data is composed of several Brazilian artists music chords. You can check the available datasets with the code above, which will not be run here because the results are long:
library(chorrrds)
ls("package:chorrrds")
3.1.4 Use case
Returning to the data we collected before, let us explore it a little. The first thing we can look at is the most common chords in each music. Which are the common chords in music made by Janis Joplin? Are the proportions of these chords similar between the songs?
percentages <- chords %>%
dplyr::group_by(music) %>%
dplyr::count(chord) %>%
dplyr::top_n(n, n = 3) %>%
dplyr::mutate(prop = scales::percent(n/sum(n)))
| music | chord | n | prop |
|---|---|---|---|
| a woman left lonely | Bb | 11 | 32.35% |
| a woman left lonely | D | 11 | 32.35% |
| a woman left lonely | F | 12 | 35.29% |
| ball and chain | Cm | 11 | 40.7% |
| ball and chain | Dm | 5 | 18.5% |
| ball and chain | Gm | 11 | 40.7% |
| blowin in the wind | A | 19 | 26.4% |
| blowin in the wind | D | 28 | 38.9% |
| blowin in the wind | G | 25 | 34.7% |
| buried alive in blues | C | 3 | 37.5% |
| buried alive in blues | D | 1 | 12.5% |
| buried alive in blues | G | 4 | 50.0% |
| bye bye baby | A | 4 | 10.3% |
| bye bye baby | C | 11 | 28.2% |
| bye bye baby | D | 4 | 10.3% |
| bye bye baby | E | 4 | 10.3% |
| bye bye baby | G | 16 | 41.0% |
| call on me | A | 9 | 31.03% |
| call on me | B | 11 | 37.93% |
| call on me | E | 9 | 31.03% |
| combination of the two | A | 8 | 26.7% |
| combination of the two | Abm | 4 | 13.3% |
| combination of the two | B | 4 | 13.3% |
| combination of the two | E | 10 | 33.3% |
| combination of the two | F#m | 4 | 13.3% |
| cry baby | C | 30 | 40.5% |
| cry baby | F | 25 | 33.8% |
| cry baby | G | 19 | 25.7% |
| dear landlord | A | 2 | 10.5% |
| dear landlord | Am | 2 | 10.5% |
| dear landlord | Bb | 2 | 10.5% |
| dear landlord | C | 2 | 10.5% |
| dear landlord | Em | 2 | 10.5% |
| dear landlord | F | 6 | 31.6% |
| dear landlord | G | 3 | 15.8% |
| get it while you can | Bb | 15 | 22.4% |
| get it while you can | C | 31 | 46.3% |
| get it while you can | F | 21 | 31.3% |
| half moon | C | 6 | 33.3% |
| half moon | C7 | 2 | 11.1% |
| half moon | F | 2 | 11.1% |
| half moon | F7+ | 2 | 11.1% |
| half moon | G | 6 | 33.3% |
| kozmic blues | Am | 6 | 20.7% |
| kozmic blues | D | 7 | 24.1% |
| kozmic blues | F | 10 | 34.5% |
| kozmic blues | G | 6 | 20.7% |
| little girl blue | Bb | 12 | 34.3% |
| little girl blue | C/E | 6 | 17.1% |
| little girl blue | F | 17 | 48.6% |
| maybe | Am7 | 9 | 25.7% |
| maybe | C | 12 | 34.3% |
| maybe | G | 14 | 40.0% |
| me and bobby mcgee | A | 73 | 43.7% |
| me and bobby mcgee | E7 | 68 | 40.7% |
| me and bobby mcgee | G | 26 | 15.6% |
| mercedes benz | A | 5 | 14.3% |
| mercedes benz | Bm7 | 5 | 14.3% |
| mercedes benz | D | 15 | 42.9% |
| mercedes benz | G | 10 | 28.6% |
| miseryn | Abm | 4 | 26.7% |
| miseryn | B | 5 | 33.3% |
| miseryn | C#m | 6 | 40.0% |
| move over | A | 2 | 33.3% |
| move over | E | 2 | 33.3% |
| move over | G | 2 | 33.3% |
| one good man | A | 8 | 33.3% |
| one good man | B | 4 | 16.7% |
| one good man | E | 12 | 50.0% |
| piece of my heart | A | 54 | 37.5% |
| piece of my heart | B | 67 | 46.5% |
| piece of my heart | E | 23 | 16.0% |
| somebody to love | B | 7 | 30.4% |
| somebody to love | E | 4 | 17.4% |
| somebody to love | F#m | 12 | 52.2% |
| st james infirmary | Am | 4 | 22.2% |
| st james infirmary | B7 | 5 | 27.8% |
| st james infirmary | Em | 9 | 50.0% |
| summertime | Cm6 | 35 | 37.2% |
| summertime | D7 | 12 | 12.8% |
| summertime | Gm | 47 | 50.0% |
| the rose | C | 7 | 41.2% |
| the rose | F | 4 | 23.5% |
| the rose | Fm | 3 | 17.6% |
| the rose | G | 3 | 17.6% |
| trouble in mind | A7 | 1 | 14.3% |
| trouble in mind | D | 1 | 14.3% |
| trouble in mind | D7 | 3 | 42.9% |
| trouble in mind | G7 | 2 | 28.6% |
| try just little bit harder | A | 21 | 51.2% |
| try just little bit harder | E7 | 14 | 34.1% |
| try just little bit harder | G | 6 | 14.6% |
| what good can drinkin do | B | 19 | 65.5% |
| what good can drinkin do | E | 4 | 13.8% |
| what good can drinkin do | F# | 6 | 20.7% |
With the dataset analyzed here, we can already obtain some interesting information. For some songs, as the first and second pieces, the 3 most common chords appeared in a close proportion. For others, this happens in a different way. Both the proportions and the absolute quantities of the chords vary more. That shows us that the structure of her songs don’t follow a closed pattern, which can be a sign of how creative the artist was.
We can also look at something called “chord bigrams”. This is pretty much the task of creating pairs of chords that happened in sequence, by music, and analyze their frequencies.
chord_bigram <- chords %>%
dplyr::group_by(music) %>%
tidytext::unnest_tokens(bigram, chord, to_lower = FALSE,
token = "ngrams", n = 2) %>%
dplyr::count(bigram) %>%
dplyr::top_n(n, n = 2)
| music | bigram | n |
|---|---|---|
| a woman left lonely | Bb F | 6 |
| a woman left lonely | C G | 6 |
| a woman left lonely | G C | 6 |
| ball and chain | Cm Gm | 6 |
| ball and chain | Gm Cm | 8 |
| blowin in the wind | A D | 19 |
| blowin in the wind | D G | 22 |
| blowin in the wind | G A | 19 |
| buried alive in blues | C G | 2 |
| buried alive in blues | G C | 2 |
| bye bye baby | C G | 10 |
| bye bye baby | G C | 10 |
| call on me | A E | 5 |
| call on me | B A | 9 |
| call on me | C m | 5 |
| call on me | m B | 5 |
| combination of the two | B A | 4 |
| combination of the two | F m | 4 |
| cry baby | C F | 23 |
| cry baby | F C | 15 |
| dear landlord | A F | 2 |
| dear landlord | Am G | 2 |
| dear landlord | F A | 2 |
| dear landlord | G F | 2 |
| get it while you can | Bb F | 15 |
| get it while you can | C Bb | 15 |
| get it while you can | F C | 18 |
| half moon | C G | 4 |
| half moon | G C | 4 |
| kozmic blues | F F | 7 |
| kozmic blues | G Am | 7 |
| little girl blue | Bb F | 8 |
| little girl blue | C E | 6 |
| little girl blue | F C | 6 |
| maybe | C F | 5 |
| maybe | G C | 5 |
| maybe | G Gmaj7 | 5 |
| maybe | Gmaj7 Em | 5 |
| maybe | Gsus G | 5 |
| me and bobby mcgee | A A | 60 |
| me and bobby mcgee | E7 E7 | 58 |
| mercedes benz | A D | 5 |
| mercedes benz | Bm7 G | 5 |
| mercedes benz | D Bm7 | 5 |
| mercedes benz | D G | 5 |
| mercedes benz | G A | 5 |
| mercedes benz | G D | 5 |
| miseryn | C m | 6 |
| miseryn | m Abm | 4 |
| move over | A A | 1 |
| move over | A C | 1 |
| move over | B A | 1 |
| move over | C B | 1 |
| move over | E G | 2 |
| move over | G A | 1 |
| move over | G E | 1 |
| one good man | A E | 8 |
| one good man | B A | 4 |
| one good man | E A | 4 |
| one good man | E B | 4 |
| piece of my heart | A B | 24 |
| piece of my heart | B B | 35 |
| somebody to love | F m | 12 |
| somebody to love | m B | 6 |
| st james infirmary | B7 Em | 5 |
| st james infirmary | Em Am | 4 |
| st james infirmary | Em B7 | 4 |
| summertime | Cm6 Gm | 32 |
| summertime | Gm Cm6 | 33 |
| the rose | C G | 3 |
| the rose | F Fm | 3 |
| the rose | Fm C | 3 |
| the rose | G F | 3 |
| trouble in mind | A7 D7 | 1 |
| trouble in mind | D D7 | 1 |
| trouble in mind | D7 A7 | 1 |
| trouble in mind | D7 G7 | 1 |
| trouble in mind | G7 D7 | 1 |
| trouble in mind | G7 G7 | 1 |
| try just little bit harder | A E7 | 12 |
| try just little bit harder | E7 A | 11 |
| what good can drinkin do | B B | 8 |
| what good can drinkin do | B F | 6 |
| what good can drinkin do | F B | 6 |
There are some bigrams that happen many times in a song, while others just a few times, but are still the most frequent ones. In the song called “Piece of my heart”, we have the repetition of the chord “B”, which is described by the appearance of the “B B” bigram. More of what we can find with this format of data can be found in the next section of this book.
3.2 Lyrics
The vagalumeR
package
provides us with access to the Vagalume
website API. Vagalume is a music
portal, and its API has information about discographies,
music names, related artists, and the most important one, music lyrics.
The first version of the package goes back to 2017 when I was taking a Text Mining course. For the course assignments, we were asked to deliver some interesting analysis using text and the techniques we learned. As by that time I did not found anything related to music lyrics datasets, I made the package to solve this problem.


--- layout: post title: Time to Shed date: '2012-12-26 13:44:09 -0700' mt_id: 1503 blog_id: 1 post_id: 1503 basename: time-to-shed categories: - personal ---
Winter is normally the time when I lose the weight I gained over the summer. Unfortunately, I did not take advantage of the cooler temperatures nearly enough and succumbed to the temptations of my wife's excellent cooking. I weighed myself this morning and I came in at 196 pounds—not bad by any means but heavier than my preference of 180–185 pounds.
So it looks like I'm going to have to step it up a bit by doing the No S Diet and some Urban Ranger. I got a FitBit One for Christmas and that'll give some quantification to my walking.
I really like the No S Diet because it's easy to stick to and doesn't force you to get rid of the food you have on hand. Many a diet was wrecked by the latter:


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Childhood and Family Life.
Katherine Johnson was born in 1918 and had 4 older brothers and sisters. Her dad was a lumberman, farmer, handyman, and worked at a hotel. Her mum was a teacher. Since Katherine’s school didn’t offer schooling for students’ past year 8 Katherine and her siblings went to a high school in West Virginia, Katherine was enrolled when she was 10. In 1939 after marrying James Goble, her first husband, Katherine left her job as a teacher, a year later she became pregnant and quit her graduate math program.
Career Achievements and role at NASA.
Katherine and a colleague of hers was temporarily assigned to help the all-male flight research team. Katherines knowledge heled her make allies with bosses and colleagues to which they “Forgot to return me to the pool”. Katherine calculated the trajectory for the May 5th, 1961 space flight for Alan Sheppard to be the first American in space. Katherine also calculated the launch window for Alan Sheppard’s Mercury Mission. When NASA used electric computers for the first-time officials checked with Katherine that the results were accurate, the astronaut John Glenn asked for Katherine specifically for the verification of the numbers otherwise he wouldn’t fly. In 1961, Katherine’s work helped to find Alan Sheppard’s Mercury Capsule quickly. She also helped with the trajectory for Apollo 11’s flight to the moon in 1969.
Experiences with Social Conflict.
Katherine and other African American women in the computing pool were required to work, eat, and use restrooms that were separate from their white peers. Their office was labelled “Colored Computers”. In 1958 when NASA took over NACA and adopted digital computers and disbanded the coloured computing pool. Katherine wasn’t allowed to put her name on any reports which was the same for all other women working for NASA at that time but this changed when Katherine finished a report alone and after doing most of the work she finally put her name on the report and became the first woman in her division to have her name on something.
Achievements later in life.
Katherine Johnson received around 15 awards after the year 2000 to date. Another achievement of hers is her age, she is currently 101. She finished signing in the choir of Carver Presbyterian Church for 50 years. In May 2016 a 3,700m squared building was named “Katherine G. Johnson Computational Research Facility”
Other interesting information.
Katherine and James Doble had 3 daughters. In 1956 James Goble died from a brain tumour. In 1959 Katherine remarried to James Johnson.
Sources
https://www.nasa.gov/content/katherine-johnson-biography https://www.nasa.gov/feature/katherine-johnson-the-girl-who-loved-to-count http://www.visionaryproject.org/johnsonkatherine/ https://www.nasa.gov/centers/langley/news/researchernews/rn_kjohnson.html https://www.mentalfloss.com/article/71576/black-female-mathematicians-who-sent-astronauts-space https://www.inverse.com/article/19694-5-facts-about-katherine-johnson-hidden-figures https://www.businessinsider.com/katherine-johnson-hidden-figures-nasa-human-computers-2016-8/?r=AU&IR=T https://www.nytimes.com/2016/09/06/books/on-being-black-female-math-whizzes-during-the-space-race.html http://mathshistory.st-andrews.ac.uk/Biographies/Johnson_Katherine.html© Saxo_Broko 2015-2021


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This guide will walk you through combining data between two sheets in a Google Sheets spreadsheet. It makes use of a formula that utilises the MATCH(), VLOOKUP(), and ARRAYFORMULA functions.
Use this formula:
=ARRAYFORMULA(
VLOOKUP($A$2:$A, Sheet2!$A:$D,
MATCH(M$1, Sheet2!$1:$1, 0), TRUE
)
)
You have been asked to compare the sales performance of your products against daily price changes across your competitors.
You receive multiple spreadsheets with data relevant to your analysis. Some of these data sources need to be combined. You could upload the sheets into a database, with each sheet represented as a separate table, and then use SQL to join tables. However, this solution takes time to set up and would be overkill if we don't use it on a regular basis.
Instead, by chaining a few functions together in a formula, we can quickly combine the data in Google Sheets itself.
You have two spreadsheets with data that is relevant for your analysis.
Spreadsheet 1 (Pricing Data) contains daily pricing information for your and your competitors' products. [TODO: image]
Spreadsheet 2 (Sales Data) contains daily sales performance data. [TODO: image]
You need to combine data from both sources in order to determine: + the relationship between Competitor Z's pricing and how many units you sold + whether deviating greatly from the average price impacts how many units you sell
Let's now look at how we combine these different datasets in Google Sheets.
Looking at the two datasets, it becomes clear that the key we will join the data on is the Date column. At this point you will want to do a sanity check on the keys:
At this stage Sheet 1 looks something like [TODO: image]
In cell H2 insert the following formula:
=ARRAYFORMULA(
VLOOKUP($A$2:$A, Sheet2!$A:$D,
MATCH(H$1, Sheet2!$1:$1, 0), TRUE
)
)
Now copy H2 and paste it into I2
And voila! We now have the relevant sales performance data combined with our pricing intelligence data. [TODO: image]
Let's break down the formula so we can better understand what it does.
The MATCH()
function returns the position of a search term in a given column or row. In this case, we are asking it to tell us which column in Sheet 2 holds the data we are interested in.
MATCH(H$1, Sheet2!$1:$1, 0)
Let's break this down further:
H$1
references the first cell of column H -> "Units Sold". Sheet2!$1:$1
references the entire first row of Sheet 2 -> row of column names0
for exact match since our range is not sortedSo in human speak, we are asking "Where in the first row of Sheet 2 does 'Units Sold' appear?"
The answer should be 2
- i.e. the second cell of the row of column names
The VLOOKUP()
function is commonly used to search a range for a value in the first column and then return a corresponding value from another column.
If we used VLOOKUP()
on its own (i.e. without combining it with MATCH()
and ARRAYFORMULA()
) this is how the function would be used to return the value held in the 2nd column of Sheet 2
VLOOKUP(A2, Sheet2!$A:$D, 2, FALSE)
Let's break this down further:
A2
references the date in that cell -> "1/1/2018"Sheet2!$A:$D
references columns A-D in Sheet 22
indicates we are interested in the data held in the 2nd columnTRUE
to indicate that the search column (i.e. the first column in the data range) is sorted. Use FALSE
if the search column is not sorted.This should return the value 44
- i.e. the value in the 2nd column of Sheet 2 in the row where the value of the first cell is 1/1/2018
Now there are two issues with this formula: 1. The column index is hardcoded. This means that if the columns get re-ordered in Sheet 2 in the future, we will need to go back and edit all our formulae to reference the new column number. 1. This formula will need to be pasted into every relevant cell in the sheet. This means if we need to modify the formula in future, we will need to ensure every cell has been edited. The risk is we might miss some cells.
The first issue is solved by using the above MATCH()
formula in place of the hard-coded column index value. It will always give us the current column index for the given column name.
VLOOKUP(A2, Sheet2!$A:$D, MATCH(H$1, Sheet2!$1:$1, FALSE)
To solve the second issue we need to use ARRAYFORMULA()
One way ARRAYFORMULA()
is used is to convert non-array functions into array-like functions.
What does this mean? In the above VLOOKUP()
function call, we can only reference a single cell for the search term. It would be more convenient if we could pass it a reference to a column (i.e. an array of size 1 x total_num_rows
) and ask it to iterate through each value and perform a corresponding VLOOKUP
. Additionally, the found values should be stored in an array and be output across the corresponding number of rows and columns. This is where ARRAYFORMULA()
plays a role:
=ARRAYFORMULA(
VLOOKUP($A$2:$A, Sheet2!$A:$D,
MATCH(H$1, Sheet2!$1:$1, 0), TRUE
)
)
Simply put, the above ARRAYFORMULA()
function call references the above VLOOKUP
function call with one key difference: A2
(reference to a single cell) has been replaced with $A$2:$A
(reference to column 1's contents starting from the 2nd row).


Reports Serializable
classes where the readObject
or writeObject
methods are not declared private.
There is no reason why these methods should ever have a greater visibility than that.
Apply the quick-fix to make the corresponding method private.
Example:
public class Test implements Serializable {
public void readObject(ObjectInputStream stream) {
/* ... */
}
}
After the quick-fix is applied:
public class Test implements Serializable {
private void readObject(ObjectInputStream stream) {
/* ... */
}
}


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|
Challenge #3
Tier 10 generators are disabled.
|
|
Challenge #4
Generator tiers 2-10 instead costs the generator one below them rather than stars.
|
Challenge #5
Generator tiers 2-10 multiply star production instead.
|
Challenge #6
Transfer upgrades are 90% as effective.
|
|
Challenge #7
Buying a generator removes all the generators below its tier.
|
Challenge #8
Your production decays, but resets to normal after either purchasing a generator, or prestiging.
|
Challenge #9
Prestige power gain is reduced, but transfer point gain is increased.
|
|
Challenge #10
The production of the 10th tier generator is reduced.
|
Challenge #11
Your production is reduced, but increases over time and resets when you either purchase a generator, or prestige.
|
Challenge #12
The costs of all generator tiers increases when you buy any tier of generator.
|
|
Challenge #13
Your prestige power gain decays, but increases if you either purchase a generator, or prestige.
|
Challenge #14
You can buy any tier once until you buy all others except upcoming and two.
|
Challenge #15
The more stars you get, the lower your production is.
|
|
Neutron Challenge #1
Neutron boosts are disabled.
|
|
Autoupgrader
Disabled:
|
Autotransfer
Multiplier before next transfer
TP before next transfer
Disabled:
Disabled:
|
Autoprestige
Multiplier before next prestige
Disabled:
|
|
Autogenerator
Tier 1:
Tier 2:
Tier 3:
Tier 4: Tier 5: Tier 6: Tier 7: Tier 8: Tier 9: Tier 10: |
Autogenerator bulk buy Bulk: 1x
Increase bulk buy by 2x. |
Autogenerator priorities
Tier 1:
Tier 2:
Tier 3: Tier 4: Tier 5: Tier 6: Tier 7: Tier 8: Tier 9: Tier 10: |
Pre-break autonova
|
Autonova
NS before next supernova
Disabled:
|
Power (stars): +0 |
Power (transfer points): +0 |
Power (neutron stars): +0 |
Base: 10 |
Power for prestige power increase: 0 |
Interval: 5 seconds |
Time: 5 hours |
Logarithmically percentage of unstable stars after activation: 90% |
Unlock prestige on destabilizing, but shortens destabilizing when you prestige |
Interval: 1s |
Gain: +1%/tick |
Limit: 20 |
Max supernovas: 0 |
Keep aliens per supernova: 5% |
Interval increase: +100% |
| Superpower (Level 0/5) You get free 5 neutron boost power for each level |
??? (Level 0/5) ??? |
??? (Level 0/5) ??? |
??? (Level 0/5) ??? |
| Pillar of Stellar | Pillar of Power | Pillar of Upgrade | Pillar of Neutron |
| You start with 10 tier 10 generators |
Prestige starts 30 OoM earlier |
TP gain is slightly stronger (PP1/3 -> PP2/5) |
You get more NS on pre-break supernovas |
| ??? |
??? |
??? |
??? |
| ??? |
??? |
??? |
??? |
| Neutron Challenge #1 Requires Pillar of Stellar |


Tables
Relationships
Utility Tables
Constraints
Anomalies
Columns
Donate
SchemaSpy Analysis of
postgres
.
omop
- All Relationships
Generated by
SchemaSpy
Generated by
SchemaSpy
on dim. sept. 10 20:08 CEST 2017
Legend:
Primary key columns
Columns with indexes
Excluded column relationships
Dashed lines show implied relationships
<
n
> number of related tables
All columns


“Good God! what punishment can be too great, what mark of infamy sufficiently signal, for those pernicious villains of talent, who have employed that talent in the composition of Bacchanalian songs; that is to say, pieces of fine and captivating writing in praise of one of the most odious and destructive vices in the black catalogue of human depravity!” — William Cobbett, Advice To Young Men And (Incidentally) To Young Women In The Middle And Higher Ranks Of Life


The times Mourinho praised Messi
by BeSoccerWhen Leo Messi started to play, Jose Mourinho accused him of theatrics, Years later, the Portuguese manager has only dedicated phrases of admiration to him.
We have drawn up a list of all the times that 'The Special One' took his hat off to the magic of Messi. Despite them always being rivals, Mou admires him.
March 2014
'I don't think Messi has to win the World Cup with Argentina to be great, he's already great. A lot of the greats did it, so they're all waiting for him to do it too'.
July 2014
'Messi has all my respect because he plays for his national team. Not everyone who has been to the World Cup can say the same thing'.
July 2014
'Leo is an example, like the Dutchman Kuyt, who one day plays as a winger, another as a sub and another as a striker'.
May 2015
'Leo Messi is impossible to mark. he is unique and makes a difference. With him, any great team can win the Champions League'.
May 2015
'Messi has the most dangerous opponent I've ever had. Every time I had to face him, I spent hours and hours thinking about how to stop him collectively, because it's impossible to mark the man'.
March 2016
'It is easier to win the Champions League with Messi than against Messi'.
July 2016
Featured links
- BREAKING NEWS: Mourinho replaces Pochettino at Tottenham
- The latest football transfers news and rumours
- Wales, golf, Madrid... in that order
- Luis Enrique returns to Spain national team
'Messi, Pelé and Maradona are the 3 best players in history'.
October 2016
We will all cry when Messi is 34 and retires'.
November 2016
'I hope he never leaves because he belongs to Barça and Barça belong to him'.
October 2017
'My son told me one thing I'll never forget: 'You're going to win trophies against Messi, not with him'.
May 2018
'Without Messi, Argentina wouldn't be a candidate for the World Cup'.
April 2019
'His game is easy to understand, but it's not easy to create a cage to control it, because he comes from the right and then stays in the middle. When Messi has the ball and has a one on one you are dead'.
May 2019
'Messi is Messi. I'm not saying he 'The Special One' of this week because he's 'The Special One' of all time. He is the God of football. We'll cry when he retires'.


The ocamllex input file consists of four sections; header, definitions, rules and trailer section:
(* header section *) { header } (* definitions section *) let ident = regexp let ... (* rules section *) rule entrypoint [arg1... argn] = parse | pattern { action } | ... | pattern { action } and entrypoint [arg1... argn] = parse ... and ... (* trailer section *) { trailer }
Comments are delimited by (* and *), as in Caml.
The header and rules sections are necessary while definitions and trailer sections are optional.
The header and trailer sections are enclosed in curly braces and they contain arbitrary Caml code. At the beginning of the output file, the header text is copied as is while the trailer text is copied at the end of the output file. For example, you can code open directives and some auxiliary funtions in the header section.
The definitions section contains declarations of simple ident definitions to simplify the scanner specification. Ident definitions have the form:
let ident = regexp let ...
The "ident" must be valid identifiers for Caml values (starting with a lowercase letter). For example,
let digit = ['0'-'9'] let id = ['a'-'z']['a'-'z' '0'-'9']*
defines "digit" to be a regular expression which matches a single digit, and "id" to be a regular expression which matches a letter followed by zero-or-more letters-or-digits. A subsequent reference to
digit+ "." digit*
is identical to
['0'-'9']+ "." ['0'-'9']*
and matches one-or-more digits followed by a '.' followed by zero-or-more digits.
The rules section of the ocamllex input contains a series of entrypoints of the form:
rule entrypoint [arg1... argn] = parse | pattern { action } | ... | pattern { action } and ...
The first | (bar) after parse is optional.
Each entrypoint consists of a series of pattern-action:
| pattern { action }
where the action must be enclosed in curly braces.
See below for a further description of patterns and actions.


Introduction
This program provides a VPN, SNAT basic services.
Mainly provides the following functions:
- IPSec Site-to-Site feature. It can quickly help you to connect two ECS in different private network through IPSec Site-to-Site protocol
- Dial-up VPN feature. You can connect to ECS through dial-up VPN mode, to do routine maintenance and management.
- SNAT feature. You can easily set the Source NAT, to allow VM in VPC private network access the Internet through the Gateway VM.
Typical scenarios include:
- Use VPN to connect the machines in cloud and the machines in IDC side (Site-to-Site).
- Connect multiple VPC (include same Region / different Region) through VPN (Site-to-Site).
- Connect to machine in cloud through dial-up VPN, then use the VPN private IP address to communicate with other machines.
Login Description:
- Login address: https: //public IP of the VM with flexGW installed
- Use VM OS account and password to login to the system.
Software components
Strongswan
- Version: 5.1.3
- Website: http://www.strongswan.org
OpenVPN
- Version: 2.3.2
- Website: https://openvpn.net/index.php/open-source.html
Program Description
FlexGW (i.e. this program)
- Directory: /usr/local/flexgw
- Database file: /usr/local/flexgw/instance/website.db
- Startup script: /etc/init.d/flexgw 或/usr/local/flexgw/website_console
- Log directory: /usr/local/flexgw/logs
- Utility scripts directory: /usr/local/flexgw/scripts
"Database File" to save all VPN configuration, please backup them periodicly. If the database is corrupted, use the script initdb.py in "utility scripts directory” to initialize the database, it will clears all configurations.
Strongswan
- Directory: /etc/strongswan
- Log file: /var/log/strongswan.charon.log
- Startup script: /usr/sbin/strongswan
If strongswan.conf is corrupted, you can use the backup files in /usr/local/flexgw/rc/strongswan.conf to recover.
ipsec.conf and ipsec.secrets files are generated from the files with same name in /usr/local/flexgw/website/vpn/sts/templates/sts, do not modify them.
OpenVPN
- Directory: /etc/openvpn
- Log file: /etc/openvpn/openvpn.log
- Status file: /etc/openvpn/openvpn-status.log
- Startup script: /etc/init.d/openvpn
server.conf generated from the file with same name in /usr/local/flexgw/website/vpn/dial/templates/dial, don’t modify it.


Transform the ast on a recursive walk.
This modules uses acorn to create an AST from source code.
Put a function wrapper around all array literals.
var falafel = require('falafel');
var src = '(' + function () {
var xs = [ 1, 2, [ 3, 4 ] ];
var ys = [ 5, 6 ];
console.dir([ xs, ys ]);
} + ')()';
var output = falafel(src, function (node) {
if (node.type === 'ArrayExpression') {
node.update('fn(' + node.source() + ')');
}
});
console.log(output);
output:
(function () {
var xs = fn([ 1, 2, fn([ 3, 4 ]) ]);
var ys = fn([ 5, 6 ]);
console.dir(fn([ xs, ys ]));
})()
var falafel = require('falafel')
Transform the string source src
with the function fn
, returning a
string-like transformed output object.
For every node in the ast, fn(node)
fires. The recursive walk is a
pre-traversal, so children get called before their parents.
Performing a pre-traversal makes it easier to write nested transforms since transforming parents often requires transforming all its children first.
The return value is string-like (it defines .toString()
and .inspect()
) so
that you can call node.update()
asynchronously after the function has
returned and still capture the output.
Instead of passing a src
you can also use opts.source
.
All of the opts
will be passed directly to
acorn.
You may pass in an instance of acorn to the opts as opts.parser
to use that
version instead of the version of acorn packaged with this library.
var acorn = require('acorn-jsx');
falafel(src, {parser: acorn, plugins: { jsx: true }}, function(node) {
// this will parse jsx
});
Aside from the regular esprima data, you can also call some inserted methods on nodes.
Aside from updating the current node, you can also reach into sub-nodes to call update functions on children from parent nodes.
Return the source for the given node, including any modifications made to children nodes.
Transform the source for the present node to the string s
.
Note that in 'ForStatement'
node types, there is an existing subnode called
update
. For those nodes all the properties are copied over onto the
node.update()
function.
Reference to the parent element or null
at the root element.
With npm do:
npm install falafel
MIT


Complete the following procedure to compile and run this example:
- From yourbasedir/objectserializationexamples/ExternalizableSuperclass, compile the Savesuper.java file using JDKTM 1.1 or higher:
javac Savesuper.java- Run the file you just compiled: java Savesuper
The original book object is printed (showing the object before serialization) and then the new book object is printed (showing the object after serialization).
<


Import button module into your application
import {
BadgeModule
} from '@sbb-esta/angular-public';
and then you can use the badge component as seen below

Hi, I'm a badge
<sbb-badge>123</sbb-badge>

Tha badge supports a property called active
: it is a boolean (true is default). When active
is set to "false", the badge will be grey colored.
In order to make this component accessible, you must use the aria-label
attribute on the <sbb-badge>
itself:

Billion people in the world
<sbb-badge aria-label="7 billion people">7</sbb-badge>


--- layout: post date: 2009-08-24 time: "10:00:00" authors: ["Greg Wilson"] title: Playing Safe tags: ["Noticed"] ---
This thoughtful article from the New York Times asks whether the current grant system for funding research discourages researchers from taking risks. My personal experience undoubtedly biases me, but I tend to agree—the problem is coming up with something better.


Class Wizard: Name and Description
Enter a name and optional description for the class. In general, the name for the class should be singular, e.g. "Mineral" instead of "Minerals".


--- layout: post title: Skinning your ASP.NET MVC Application Based On Your Sub-domain. date: '2010-02-28T16:31:00.001Z' author: solrevdev tags: modified_time: '2010-02-28T16:31:50.937Z' blogger_id: tag:blogger.com,1999:blog-31446756.post-3013803242768885019 blogger_orig_url: http://www.solrevdev.com/2010/02/skinning-your-aspnet-mvc-application.html ---


Rank
Team
Blockers
Criticals
Majors
Minors
Infos
Points
Team
Blockers
Criticals
Majors
Minors
Infos
Points


---
title: "Vie-Eng NMT"
date: 2020-04-25
excerpt: "A seq2seq model that translates Vietnamese to English"
collection: projects
---
This is an implementation of a NMT system using pretrained word embeddings and seq2seq model with attention
Built with PyTorch
Source Code


|
MetroCollect
2.3.4
|
#include <memory>
#include <vector>
Go to the source code of this file.
Classes | |
| struct | MetroCollect::MetricsSource::Interests |
| Boolean array to keep track of which fields a source has to fetch metrics for. More... | |
Namespaces | |
| MetroCollect::MetricsSource | |
| Namespace for sources of metrics objects and operations. | |
Typedefs | |
| using | MetroCollect::MetricsSource::SourceInterests = std::shared_ptr< std::vector< MetricsSource::Interests > > |
| Type used to store and share interests of multiple sources. More... | |
Functions | |
| SourceInterests | MetroCollect::MetricsSource::makeSourceInterests (bool value=false) |
| Construct a new shared pointer to a SourceInterests object. More... | |


--- layout: post title: Updating old ward map - deprecating old download files date: '2015-04-01T14:03:07-05:00' author: Open Data Portal Team categories: - Open Data - Data Portal tags: - bhcv-wqkf - d6nr-gpt2 - xt4z-bnwh - deprecation - map_layer - kml - maps - shapefile ---
We will be removing the standalone ward maps for 2013-2015 that exist in the Shapefile and KML format. You will be able to access and download the 2013-2015 ward map at its new location. The new location has on-screen map navigation and is also downloadable.
The deprecated versions will be removed no earlier than April 30th.


If you have any problem or any doubt, please call a team member. We are there for that!
At this stage, You should :
be sitting more or less confortably
have turned off your WIFI
have a sticky note on the wall with your name and your IP
have configured your network parametrers
be connected to the switch with a network cable
be able to ping those addresses :
ping <IP_ADDRESS>
ping <IP_ADDRESS>
ping <IP_ADDRESS>


CALADRYL CLEAR- pramoxine hydrochloride and zinc acetate lotion
Valeant Pharmaceuticals North America LLC
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
| Active ingredients |
Purpose |
| Pramoxine HCl 1% |
Topical analgesic |
| Zinc acetate 0.1% |
Skin protectant |
Uses
- temporarily relieves pain and itching associated with:
- rashes due to poison ivy, poison oak or poison sumac
- insect bites
- minor skin irritation
- minor cuts
- dries the oozing and weeping of poison ivy, poison oak and poison sumac
Warnings
For external use only.
When using this product do not get into eyes
Stop use and ask a doctor if
- condition worsens or does not improve within 7 days
- symptoms persist for more than 7 days or clear up and occur again within a few days
Keep out of reach of children. If swallowed, get medical help or contact a Poison Control Center right away.
Directions
- shake well before use
- adults and children 2 years of age and older: apply to affected area not more than 3 to 4 times daily
- children under 2 years of age: ask a doctor
Other information
- store at 20° to 25°C (68° to 77°F)
Inactive ingredients
SD alcohol 38-B, camphor, citric acid, diazolidinyl urea, fragrance, glycerin, hypromellose, methylparaben, polysorbate 40, propylene glycol, propylparaben, purified water, sodium citrate
Questions/Comments
call 1-800-321-4576
Dist by: Valeant Pharmaceuticals North America LLC, Bridgewater, NJ 08807 USA
©2013 Valeant Pharmaceuticals North America LLC
Rev. 01/13
Made in Canada
PRINCIPAL DISPLAY PANEL - 177 mL Bottle Label
Caladryl®
Clear®
Topical Analgesic ∙ Skin Protectant
Lotion
Drying Action PLUS Itch Relief
6 FL OZ (177 mL)


{% extends 'base.html' %} {% block extra_head %}
When you send a Happiness Packet, you can agree to display your message publicly on this website. If both sender and recipient select this option, the message is published on this page as a part of our Happiness Archive.
{% include 'messaging/_message_list.html' %} {% endblock content %}


she / her
Notice: This site is currently under development.
Web developer @ IMS, Inc. Formerly a Computer Science and Python educator for Code in the Schools.
Take it easy.


| Fig 1 |
Schematic presentation of the research methodology. |
| Fig 2 |
Patch pattern maps at equilibrium, obtained from the RDE mod ... |
| Fig 3 |
Vegetation and soil patch properties as a function of rainfa ... |
| Fig 4 |
The division of the eccentricity ratio vs rainfall into four ... |


FIRST CHRONICLES
1
The descendants of Adam
1 The first person God created was Adam. Adam's son was Seth. Seth's son was Enosh. Enosh's son was Kenan.
2 Kenan's son was Mahalalel. Mahalalel's son was Jared. Jared's son was Enoch.
3 Enoch's son was Methuselah. Methusalah's son was Lamech. Lamech's son was Noah.
4 Noah's sons were Shem, Ham, and Japheth.
The descendants of Japheth
5 The sons of Japheth were Gomer, Magog, Madai, Javan, Tubal, Meshech, and Tiras.
6 The sons of Gomer were Ashkenaz, Riphath, and Togarmah.
7 The descendants of Javan were Elishah, Tarshish, Kittim, and Rodanim.
The descendants of Ham
8 The sons of Ham were Cush, Mizraim, Put, and Canaan.
9 The descendants of Cush were Seba, Havilah, Sabta, Raamah, and Sabteca.
The sons of Raamah were Sheba and Dedan.
10 Another descendant of Cush was Nimrod. When he grew up, he became a mighty warrior on the earth.
11 Mizraim was the ancestor of the Lud , the Anam, the Lehab, the Naphtuh,
12 the Pathrus, the Casluh, and the Caphtor people groups. The people of the region of Philistia were descended from the Casluh people group.
13 Canaan's first son was Sidon. He was also the ancestor of the Heth,
14 the Jebus, the Amor, the Girgash,
15 the Hiv, the Ark, the Sin,
16 the Arvad, the Zemar, and the Hamath people groups.
The descendants of Shem
17 The sons of Shem were Elam, Asshur, Arphachshad, Lud, and Aram.
Aram's sons were Uz, Hul, Gether, and Meshech.
18 Arphachshad was the father of Shelah, who was the father of Eber.
19 Eber had two sons. One was named Peleg which sounds like the word that means 'divided' because during the time that he lived, the people on the earth were divided into various language groups. Peleg's younger brother was Joktan.
20 Joktan was the ancestor of Almodad, Sheleph, Hazarmaveth, Jerah,
21 Hadoram, Uzal, Diklah,
22 Obal, Abimael, Sheba,
23 Ophir, Havilah, and Jobab.
24 The descendants of Shem, in order from him to Abraham, were Arphachshad, Shelah,
25 Eber, Peleg, Reu,
26 Serug, Nahor, Terah,
27 and Abram, whose name was later changed to Abraham.
The descendants of Abraham
28 Abraham's sons were Isaac and Ishmael.
29 The son of Abraham's slave wife Hagar was Ishmael. Ishmael's twelve sons were Nebaioth, his firstborn, then Kedar, Adbeel, Mibsam,
30 Mishma, Dumah, Massa, Hadad, Tema,
31 Jetur, Naphish, and Kedemah.
32 After Abraham's wife Sarah died, he took another wife named Keturah. Her sons were Zimran, Jokshan, Medan, Midian, Ishbak, and Shuah.
Jokshan's sons were Sheba and Dedan.
33 Midian's sons were Ephah, Epher, Hanoch, Abida, and Eldaah.
The descendants of Esau
34 The son of Abraham's wife Sarah was Isaac, and Isaac's sons were Esau and Jacob, whose name was later changed to Israel.
35 The sons of Esau were Eliphaz, Reuel, Jeush, Jalam, and Korah.
36 The sons of Eliphaz were Teman, Omar, Zepho, Gatam, Kenaz, Timna, and Amalek.
37 Reuel's sons were Nahath, Zerah, Shammah, and Mizzah.
The descendants of Seir
38 Another descendant of Esau was Seir. His descendants lived in the region of Edom. Seir's sons were Lotan, Shobal, Zibeon, Anah, Dishon, Ezer, and Dishan.
39 Lotan's sons were Hori and Homam, and Lotan's sister was Timna.
40 Shobal's sons were Alvan, Manahath, Ebal, Shepho, and Onam.
Zibeon's sons were Aiah and Anah.
41 Anah's son was Dishon.
Dishon's sons were Hamram, Eshban, Ithran, and Keran.
42 Ezer's sons were Bilhan, Zaavan, and Jaakan.
Dishan's sons were Uz and Aran.
The kings of Edom
43 These are the names of the kings who ruled the region of Edom before any kings ruled over Israel:
Bela son of Beor, was king in Edom, and the name of the city in which he lived was Dinhabah.
44 When Bela died, Jobab son of Zerah, from the city of Bozrah, became the king.
45 When Jobab died, Husham became the king. He was from the region where the Teman people group lived.
46 When Husham died, Hadad son of Bedad, became the king. He ruled in the city of Avith. Hadad's army defeated the army of the Midian people group in the region of Moab.
47 When Hadad died, Samlah became the king. He was from the city of Masrekah.
48 When Samlah died, Shaul became the king. He was from the city of Rehoboth along the Euphrates River.
49 When Shaul died, Baal Hanan son of Achbor, became the king.
50 When Baal Hanan died, Hadad became the king. He was from the city of Pai. His wife's name was Mehetabel; she was the daughter of Matred and the granddaughter of Me Zahab.
51 Then Hadad died.
The leaders of the clans of the Edom people group were Timna, Alvah, Jetheth,52 Oholibamah, Elah, Pinon,
53 Kenaz, Teman, Mibzar,
54 Magdiel, and Iram.


NutellaLicka 4 KMD Notary NodeToday at 6:06 PM
Are there any points for the most even amount of nota's per chain?
BEER PIZZA TXSC
135 136 134
if there is, you aren't even close to it :
Rank Address BEER PIZZA TXSC
1 RJetftKRKV37rwcScJx1aMYeP7gjfqzD6U chmex 1027 1107 822
(edited)


{% load staticfiles %}
Powered with Python 3, Django. Running version {{ settings.VERSION }} from {{ settings.URL_SRC }}.


MMath Computer Science2017 - Present
University of Waterloo
GPA: 3.98 / 93%
MSc Neuroscience and Applied Cognitive Science2014 - 2016
University of Guelph
GPA: 3.98 / 94%
| Course | Description | Grade |
|---|---|---|
| Advanced Distributed Systems | Discussion of advanced concepts in distributed systems, including common architectures, communication mechanisms, shared storage, consistency, and fault tolerance. | IP |
| Empirical Performance Evaluation | Project based course focused around conducting a small research project. I evaluated the suitability of TCP BBR for data centers supporting latency-critical distributed applications | IP |
| Artificial Intelligence | Introduction to current techniques in artificial intelligence, including machine learning, local search, bayes nets, and decision trees | IP |
| Security and Privacy | Introduction to security and privacy in operating systems, programs, networks, and databases | 96% |
| Networks | Introduction to network architecture and protocols | 96% |
| Operating Systems | Introduction to operating system function, design, and implementation | 91% |
| Algorithms | Design and analysis of algorithms | 89% |
| Data Structures | Study of abstract data types and an introduction to algorithm analysis | 94% |
| Intermediate Programming | Memory management, complex data types, and generic programming in C | 98% |
| Introduction to Programming | Introduction to the C programming language | 96% |


i
For more information visit LocalMotors.com
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Today the Consumer Technology Association (CTA)™ Foundation announced an alliance with IBM and Local Motors to help create the world's most accessible, self-driving vehicle. The CTA Foundation, a public foundation with the mission to link seniors and people with disabilities with technologies to enhance their lives.


Disgusted by what you saw in the video, you decide to take action. You comment on the video and even share it some of your friends on Instragram. Eventually, the video becomes viral. It was even featured as a news article on CBS. Hopefully the video will prevent some others from doing the same...
Return Home


The STFC Concept Schemes
CCI
ECV
Frequency
Geophysical Quantity
Institute
Platform Group
Platform Programme
Platform
Process Level
Product
Sensor
CMIP
Realms
Climate 4 Impact
Theme
GCOS
Domain
ECV
GRIB
Discipline


Kafka coordinator handles consumer group and consumer offset management.
Consumer registry metadata contains the following metadata:
Delayed heartbeat operations that are added to the purgatory for session-timeout checking
Delayed join-group operations that are kept in the purgatory before the partition assignment completed
Delayed rebalance operations that are added to the purgatory when group is preparing for rebalance
A bucket of consumers that are scheduled for heartbeat expiration.
Consumer group is fetching data
Consumer group is preparing start rebalance
Consumer group is under rebalance


This component handles the loading and running of a SSApp , more information on how to create a SSApp you have on the
It loades the SSApp inside an iframe using the properties given.
In PrivateSky a SSApp is the equivalent of the Decentralised Applications(DApps).
In order to better understand what is a SSApp and it's role in PrivateSky you have all the info you need
This component has no HTML Children.


talks.grsc.cz
The one place to keep all my reveal.js presentations.
All of the talks
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Class RewardNodeDataBuilder
Inheritance
System.Object
RewardNodeDataBuilder
Assembly: TrainworksModdingTools.dll
Syntax
public class RewardNodeDataBuilder : Object
Constructors
RewardNodeDataBuilder()
Declaration
public RewardNodeDataBuilder()
Properties
BaseAssetPath
Set automatically in the constructor. Base asset path, usually the plugin directory.
Declaration
public string BaseAssetPath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
Description
Description for the node.
Declaration
public string Description { get; set; }
Property Value
| Type |
Description |
| System.String |
|
DisabledSpritePath
Sprite used when the node is on a different path.
Declaration
public string DisabledSpritePath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
DisabledVisitedSpritePath
Sprite used when the node cannot be visited because it already has been.
Declaration
public string DisabledVisitedSpritePath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
EnabledSpritePath
Sprite used when the node is on the same path but has not been visited.
Declaration
public string EnabledSpritePath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
EnabledVisitedSpritePath
Sprite used when the node is on the same path and has been visited.
Declaration
public string EnabledVisitedSpritePath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
FrozenSpritePath
Sprite used when the node is on a path in a future zone, which is still frozen.
Declaration
public string FrozenSpritePath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
GlowSpritePath
Sprite used for the mouseover glow effect. Currently unused.
Declaration
public string GlowSpritePath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
Declaration
public bool GrantImmediately { get; set; }
Property Value
| Type |
Description |
| System.Boolean |
|
IgnoreIfNodesPresent
Declaration
public List<MapNodeData> IgnoreIfNodesPresent { get; set; }
Property Value
| Type |
Description |
| System.Collections.Generic.List<MapNodeData> |
|
MapIconPath
Declaration
public string MapIconPath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
MapIconPrefab
Clickable game object representing the node
Declaration
public MapNodeIcon MapIconPrefab { get; set; }
Property Value
| Type |
Description |
| MapNodeIcon |
|
MapNodePoolIDs
The IDs of all map node pools the reward node should be inserted into.
Declaration
public List<string> MapNodePoolIDs { get; set; }
Property Value
| Type |
Description |
| System.Collections.Generic.List<System.String> |
|
MinimapIconPath
Declaration
public string MinimapIconPath { get; set; }
Property Value
| Type |
Description |
| System.String |
|
Name
Declaration
public string Name { get; set; }
Property Value
| Type |
Description |
| System.String |
|
NodeSelectedSfxCue
Declaration
public string NodeSelectedSfxCue { get; set; }
Property Value
| Type |
Description |
| System.String |
|
OverrideTooltipTitleBody
Declaration
public bool OverrideTooltipTitleBody { get; set; }
Property Value
| Type |
Description |
| System.Boolean |
|
RequiredClass
This node will not be selected for your run's map unless your clan matches the one specified here
Declaration
public ClassData RequiredClass { get; set; }
Property Value
| Type |
Description |
| ClassData |
|
RewardBuilders
Declaration
public List<IRewardDataBuilder> RewardBuilders { get; set; }
Property Value
RewardNodeID
Declaration
public string RewardNodeID { get; set; }
Property Value
| Type |
Description |
| System.String |
|
Rewards
Declaration
public List<RewardData> Rewards { get; set; }
Property Value
| Type |
Description |
| System.Collections.Generic.List<RewardData> |
|
SkipCheckIfFullHealth
Declaration
public bool SkipCheckIfFullHealth { get; set; }
Property Value
| Type |
Description |
| System.Boolean |
|
SkipCheckInBattleMode
Declaration
public bool SkipCheckInBattleMode { get; set; }
Property Value
| Type |
Description |
| System.Boolean |
|
TooltipBodyKey
Localization key for the node's description.
If both this and Description are set, Description will override this.
Declaration
public string TooltipBodyKey { get; set; }
Property Value
| Type |
Description |
| System.String |
|
Localization key for the node's name.
If both this and Name are set, Name will override this.
Declaration
public string TooltipTitleKey { get; set; }
Property Value
| Type |
Description |
| System.String |
|
Methods
Build()
Builds the RewardNodeData represented by this builder's parameters recursively;
all Builders represented in this class's various fields will also be built.
Declaration
public RewardNodeData Build()
Returns
| Type |
Description |
| RewardNodeData |
The newly created RewardNodeData
|
BuildAndRegister()
Builds the RewardNodeData represented by this builder's parameters recursively
and registers it and its components with the appropriate managers.
Declaration
public RewardNodeData BuildAndRegister()
Returns
| Type |
Description |
| RewardNodeData |
The newly registered RewardNodeData
|


Before this, I had mostly used uppers on a utilitarian basis, taking a few 54 milligram pills to stay up with friends and such. I never really considered it a recreational drug, and never sought it out. I only did it when it came my way, and when I had a definite purpose in mind.
A couple friends of mine- let's just call them 'M' and 'D'- invited me over for an all-nighter of sorts. When I arrived, they had amassed a large quantity of the pills and were chopping them into fine powder. M offered me a rather large line, which I knew to be 81 milligrams of methylphenidate, for I had watched him add each individual pill to the powder. I took it in a period of 5 minutes, and lit up a cigarette.
An hour passed, and I felt nothing. If anything, I was feeling more tired than before- quite a weird thing to happen with a drug that has only affected me by eliminating my need to sleep. I plopped down on their couch and told them to wake me up in an hour.
During that time, I really did feel exhausted. My body didn't feel spazzy or 'speed-like' either, it simply wouldn't let me sleep. Instead, I was unwillingly and intensely focused on their conversation, and my heart was beating very fast. After an hour's time, I woke up, and smoked a couple more cigarettes with them.
At this time, I was beginning to feel rather sick, and extremely thirsty. I drank at least 4 pitchers of water in half an hour's time. I told my friends how tired and bad I felt, and they were shocked. They thought (as did I at the time) that I had some ridiculously high tolerance to the substance.
A friend (A) stopped by with some bud. When feeling physically bad, natural pothead instinct calls for a smoking session. I took one hit off a bong loaded with some medium-grade grass, and instantly felt 100% better. I wasn't feeling stoned at all, just not physically bad like I had been that evening. 'So,' thought I, 'since you are feeling better, why not get stoned with your friends?'
We smoked a couple more bowls, after which I began to feel kind of strange. Not a normal, stoned feeling, but this gross sensation that managed to be fake and 'druggish' but simultaneously sober (as opposed to how I would normally be after smoking that amount). The perceptual effects of pot were all there, but I felt intensely focused and very much sober. Then things took a turn for the worse.
I noticed my heart was racing, and that I had this weird pressure in my chest...I would start moving random parts of my body for no reason, and was also twitching some...my speech was difficult to articulate, and my motor skills were slightly impaired.  M took my pulse, I don't remember how high it was, just the look of astonishment on his face.  He took it again, and it was lower...but the chest pains had increased terribly. They would shift all over my entire chest/abdomen, and felt absolutely horrible. My heart felt like it was about to explode, and I had to concentrate very hard to breathe right. As if on cue, about 6 of our friends showed up- I didn't want them to know what was happening and I was starting to panic, so I asked D to go in the other room with me, and M stayed in the main room with everyone else.
I told him I was really worried and twitched quite a bit in the process of this.
I had this weird moment of clarity. Something I wouldn't attribute to the drugs as opposed to the fact that I thought I was going to die. I told him how much I loved my friends & family. How I didn't have any grudges anymore and just squeezed his shoulder for a couple of minutes while he smoked cigarettes and worried.
Before everyone had showed up we had been talking about getting me to a hospital, but our ride had left. I told him I would take an ambulance if I had to. It was that bad. He asked me if I was sure, and I said yes...so he told M he was calling 9-11, and did so.
Fast forward a bit...
I was laying down on their couch, as per the operator's instructions. Medical personel (?) and a few cops rushed in, and my blood pressure was taken while one of the cops started telling me how much trouble I was in (how appropriate). One of the medics brushed him aside, and told me to walk into the ambulance, where they tied me to a stretcher.
They brought me into the ER of some hospital that specializes in drug-related incidents. They monitored my heart, and noticed that it fluctuated quite a bit. I don't remember much from this time, just that my heart rate spontaneously sky-rocketed, and they rushed a lady in there to inject me with Ativan. Immediately, I could hear the heart monitor's beeps get lower and lower, but up they soared again, and they gave me another shot of Ativan.
I'm not sure how many times this continued, but I remember towards the end, they gave me one last shot and I felt the chest pain immediately subside. A fluid feeling consumed my whole body, and I felt mentally and physically relaxed. A rippling sensation in my vision occurred, and spread out, like a rock hitting water. Gaping up at the sky roof, I noticed little black objects floating out of it. These were soon nullified by an intersecting plank of wood that formed a cross, which started glowing. I'm not Christian in the least, but I started thinking about Jesus for some strange reason. It was my last thought before passing out. I believe that was when my mom arrived.
***
I was told I was close to having a heart attack , and that the combination of methylphenidate and pot gave my body some weird neurological reaction which made my muscles tense up.
***
I came home very sedated, to a very loving & undeserved mom.   I didn't do much that day. I talked to my mom for a bit, who was pretty understanding of the incident.
I also had a visit with my girlfriend. Seeing her face made me burst into tears.
I'm hardly one for preaching, but I wanted to let people know this story so they could exercise more caution with their drug use. I would recommend staying away from this shit, period. Methylphenidate is a Schedule II stimulant, right along with cocaine and meth. It's not worth messing with.
Take your life into consideration before you do any drug, please. Take the people who love you into consideration. That's what I've learned from this...how much people care about me.
I haven't read any reports like this, so it really surprised me, but I have never reacted to it this way before, so don't get the mistaken impression that if you did it once and were alright, it will always be that way.
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.


Meiosis Example - Wiki
Back to list of examples
Source code
Part 01 - Fundamentals
01 - Quick Introduction to Streams
02 - The Fundamental Setup
03 - Components
04 - Using the Meiosis Tracer
Part 02 - Reusable Components
01 - Reusing Components
02 - Computed Properties
Part 03 - Model and Nesting Strategies
01 - Lodash FP
02 - Ramda
03 - partial.lenses
Part 04 - Routing
01 - Routing
02 - Universal-Router
03 - Mithril Router


Dynamic Row span can be used to show an array of data under one specific single cell. In such situations, you can use row grouping functionality.
As mention in the above, when there is a requirement to group rows, the user has to find out how many rows needed to be span and how to structure the data in those rows. By default, data table doesn't group any rows and users have to set it explicitly.
If user going to use cell templates for more than one column user has to handel rowspan
on that cell
manually, Please refer to Row
Span in Cell Template section. This feature is currently on an experimental level and functionality will
not still fully guaranteed.
onDynamicRowSpanExtract: DataTableDynamicRowSpanExtractorCallback<any>
Default Value: 1
Target Component: <ng-data-table>
The onDynamicRowSpanExtract
property let the user to set a call back function to determine the number
of rows to be grouped or else default value 1 will be applied.
Dynamic Row Span can be enabled by binding a callback function to onDynamicRowSpanExtract
event
handler. The call back function should be a type of DataTableDynamicRowSpanExtractorCallback
.