| Modifier and Type | Class and Description |
|---|---|
class |
FlashScope
flash scope
|
| Modifier and Type | Method and Description |
|---|---|
Jooby |
Jooby.use(Jooby.Module module)
Import an application Jooby.Module .
|
| Modifier and Type | Class and Description |
|---|---|
class |
Akka
akka
|
| Modifier and Type | Class and Description |
|---|---|
class |
ApiTool
API tool
|
| Modifier and Type | Class and Description |
|---|---|
class |
Assets
assets
|
| Modifier and Type | Class and Description |
|---|---|
class |
Aws
aws module
|
| Modifier and Type | Class and Description |
|---|---|
class |
Banner
banner
|
| Modifier and Type | Class and Description |
|---|---|
class |
CaffeineCache<K,V>
caffeine
|
| Modifier and Type | Class and Description |
|---|---|
class |
Camel
Camel for Jooby.
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| Modifier and Type | Class and Description |
|---|---|
class |
Cassandra
cassandra
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| Modifier and Type | Class and Description |
|---|---|
class |
Consulby
Consul client module.
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| Modifier and Type | Class and Description |
|---|---|
class |
Couchbase
couchbase
|
| Modifier and Type | Class and Description |
|---|---|
class |
Crash
crash
|
| Modifier and Type | Class and Description |
|---|---|
class |
XSS
xss
|
| Modifier and Type | Class and Description |
|---|---|
class |
Ebeanby
ebean module
|
| Modifier and Type | Class and Description |
|---|---|
class |
Eh
ehcache module
|
| Modifier and Type | Class and Description |
|---|---|
class |
Elasticsearch
Full text search and analytics via Elastic Search.
|
| Modifier and Type | Class and Description |
|---|---|
class |
EventBusby
EventBus
|
| Modifier and Type | Class and Description |
|---|---|
class |
Exec
executor
|
| Modifier and Type | Class and Description |
|---|---|
class |
FileWatcher
file watcher
|
| Modifier and Type | Class and Description |
|---|---|
class |
Flywaydb
flyway module
|
| Modifier and Type | Class and Description |
|---|---|
class |
Frontend
frontend
|
class |
Npm
frontend
|
class |
Yarn
frontend
|
| Modifier and Type | Class and Description |
|---|---|
class |
Ftl
Exposes a Configuration and a Renderer .
|
| Modifier and Type | Class and Description |
|---|---|
class |
GuavaCache<K,V>
guava-cache
|
| Modifier and Type | Class and Description |
|---|---|
class |
Hcast
hazelcast module
|
| Modifier and Type | Class and Description |
|---|---|
class |
Hbm
hibernate
|
| Modifier and Type | Class and Description |
|---|---|
class |
Hbs
handlebars
|
| Modifier and Type | Class and Description |
|---|---|
class |
Hbv
Bean validation via Hibernate Validator.
|
| Modifier and Type | Class and Description |
|---|---|
class |
org.jooby.internal.sitemap.JSitemap<T extends org.jooby.internal.sitemap.JSitemap> |
| Modifier and Type | Class and Description |
|---|---|
class |
Jade
jade
|
| Modifier and Type | Class and Description |
|---|---|
class |
Jdbc
jdbc
|
| Modifier and Type | Class and Description |
|---|---|
class |
Jdbi
Exposes DBI , Handle and SQL Objects (a.k.a DAO).
|
class |
Jdbi3
jdbi
|
| Modifier and Type | Class and Description |
|---|---|
class |
Redis
Redis cache and key/value data store for Jooby.
|
class |
RedisSentinel
Created by
|
| Modifier and Type | Class and Description |
|---|---|
class |
Jetty |
| Modifier and Type | Class and Description |
|---|---|
class |
jOOQ
jOOQ
|
| Modifier and Type | Class and Description |
|---|---|
class |
Gzon
JSON support via Gson library.
|
class |
Jackson
jackson
|
class |
Yasson
JSON support via Yasson library.
|
| Modifier and Type | Class and Description |
|---|---|
class |
LiveReload
liveReload
|
| Modifier and Type | Class and Description |
|---|---|
class |
CommonsEmail
commons email
|
| Modifier and Type | Class and Description |
|---|---|
class |
SpyMemcached
memcached module
|
| Modifier and Type | Class and Description |
|---|---|
class |
Metrics
metrics
|
| Modifier and Type | Class and Description |
|---|---|
class |
Micrometer
micrometer
|
| Modifier and Type | Class and Description |
|---|---|
class |
Jongoby
jongo module
|
class |
Mongodb
Exposes MongoClient and a DB .
|
class |
MongoRx
mongodb-rx
|
class |
Monphia
Extends Mongodb with object-document mapping via Morphia .
|
| Modifier and Type | Class and Description |
|---|---|
class |
Neo4j
neo4j
|
| Modifier and Type | Class and Description |
|---|---|
class |
Netty |
| Modifier and Type | Class and Description |
|---|---|
class |
Auth
Deprecated.
|
class |
Pac4j
pac4j module
|
| Modifier and Type | Class and Description |
|---|---|
class |
Pebble
pebble
|
| Modifier and Type | Class and Description |
|---|---|
class |
Quartz
Build and create a Quartz Scheduler and jobs .
|
| Modifier and Type | Class and Description |
|---|---|
class |
QueryDSL
queryDSL
|
| Modifier and Type | Class and Description |
|---|---|
class |
Reactor
reactor
|
| Modifier and Type | Class and Description |
|---|---|
class |
Requery
requery
|
| Modifier and Type | Class and Description |
|---|---|
class |
Rockerby
rocker
|
| Modifier and Type | Class and Description |
|---|---|
class |
Rx
rxjava
|
class |
RxJdbc
rxjdbc
|
| Modifier and Type | Class and Description |
|---|---|
class |
Scanner
scanner
|
| Modifier and Type | Class and Description |
|---|---|
static class |
ServerInitializer.ServletModule |
| Modifier and Type | Class and Description |
|---|---|
class |
Sitemap
sitemap
|
| Modifier and Type | Class and Description |
|---|---|
class |
Thl
thymeleaf
|
| Modifier and Type | Class and Description |
|---|---|
class |
Undertow |
| Modifier and Type | Class and Description |
|---|---|
class |
Whoops
whoops
|
Copyright © 2019. All rights reserved.


Task:
- Create 3 different buttons (Show All, Show Desktops, Show Laptops) and implement each onClickHandler in a different syntax
- Convert ProductSummary so that it only displays the product name, and make the product name clickable.
- Upon clicking the product name, display the product details name, description, and price


Game Development and Morehttp://unseenstudios.com/community/
http://unseenstudios.com/community/viewtopic.php?f=4&t=179


WATCH: The Trump Impeachment Hearings – Day 3 - Williams, Vindman, Volker and Morrison to testify
Four witnesses are scheduled to testify before the House Intelligence Committee on Tuesday, Nov. 19, in what will be the third day of public impeachment hearings. Jennifer Williams, an aide to Vice President Mike Pence, and Lt. Col. Alexander Vindman, a U.S. Army officer who works on the National Security Council, will testify in the morning session. In the afternoon, Kurt Volker, the former U.S. special envoy to Ukraine, and Tim Morrison, the former senior director of European affairs at the National Security Council, will appear. The hearings are part of the impeachment probe into President Donald Trump's conduct, sparked by a whistleblower complaint. The whistleblower raised concerns about a July phone call in which Trump requested Ukrainian President Volodymyr Zelensky investigate former vice president and 2020 presidential candidate Joe Biden and his son.
For more on who’s who in the Trump impeachment inquiry, read: https://www.pbs.org/newshour/politics/whos-who-in-the-trump-impeachment-inquiry
Stream your PBS favorites with the PBS app: https://to.pbs.org/2Jb8twG
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Please provide information about your issue in the fields below. This will be sent to the KarmaFleet Internal Affairs team for investigation. Include as much detail as possible including chat logs if applicable.
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Files CCore/inc/sys/SysTime.h CCore/src/sys/SysTime.cpp
This part provides OS backed time functions. CCore uses three time functions, which provides continuous times with different resolutions.
#ifndef CCore_inc_sys_SysTime_h #define CCore_inc_sys_SysTime_h #include <CCore/inc/Gadget.h> namespace CCore { namespace Sys { /* types */ using MSecTimeType = .... ; // unsigned integral type using SecTimeType = .... ; // unsigned integral type using ClockTimeType = .... ; // unsigned integral type /* functions */ MSecTimeType GetMSecTime() noexcept; SecTimeType GetSecTime() noexcept; ClockTimeType GetClockTime() noexcept; } // namespace Sys } // namespace CCore #endif
GetMSecTime() returns a millisecond time. The return value has the type MSecTimeType. It must be an unsigned integral type.
GetSecTime() returns a second time. The return value has the type SecTimeType. It must be an unsigned integral type.
GetClockTime() returns a "clock" time. It must be a fastest available time resolution on the target, with resolution at least 1 microsecond. The return value has the type ClockTimeType. It must be an unsigned integral type. Its recommended, that this type has 64 bits width.


In a quick summary: I experienced a 14+ hour intense trip on Foxy that was emotionally difficult for the first 5-6 hours and then calmed down and became enjoyable. I experienced intense visual and auditory stimulation and psychedelic induced introspection (akin to an LSD trip) examining difficult things in my life. However, when the effects chilled out and the sun came up, I began to understand what had happened, calmed down and had an amazing time. What started out as somewhat of a bad trip ended as an important, insightful, intense, and amazing experience.
Also significant is that I regularly take anti-depressants. I take 1 20mg pill of prozac every other day (basically the same as taking 10mg/day). This is a pretty low dose of prozac, and I have been on it for two years. I don't take MDMA anymore because it doesn't work when on SSRIs like prozac (and I also don't can't afford to do drugs that increase my depressive, tendancies which MDMA does). I wondered if foxy would react the same, and what would be the after-effects. But my trip appeared to not be diminished in any way, and two days later as I type this, I don't feel the same 'depression' and emotional isolation I do after taking E or cocaine.
I had a friend who had tried 'Foxy' before, and it sounded interesting to me. I've enjoyed many experiences with MDMA, acid, and mushrooms, and wanted to try something new. I read up (although probably not enough) on the dosages and effects. I expected the experience to be somewhat of a cross between mushrooms and MDMA, with the MDMA component being stronger. I did not realize in advance the potent psychedelic properties of 'Foxy' and hadn't mentally prepared for a 14+ hour trip.
Having done psychedelics, I know the importance of being in the right 'head' space. Since I expected this trip to be more 'ecstasy-like' in quality, I wasn't worried about being in somewhat of a crappy mood.
My boyfriend and I went to a party that really started to annoy me. I had just received the foxy and wanted to try it out that night after the party (I'm just not a patient person). Because I thought it would be more of an easy trip, it didn't matter to me that I was experiencing anxiety left over from a difficult work day that friday. My boyfriend and I were bickering a little bit as well. I convinced him to leave the party around 11 pm because I wanted to try this and be able to get some sleep before I had to get up the next day to help a friend move.
We both had been drinking at the party. I was 'buzzed' but not seriously drunk, having had ~3beers. He was much more drunk than I. We returned to his house, which is a very pleasant place. Lots of nice artwork, a good stereo, a nice kitchen, and a garden--very peaceful. Since we didn't have a scale accurate to 1mg, we used a scale that was 'off' a bit, which probably was a bad idea. We tried to measure about 10 mg, but being a bit drunk, we said what the hell, and I think we ingested closer to about 16mg around 11:30 p.m.
It kicked in about 30 minutes later and came on fairly strong. I immediately experienced visuals and a confusing effect. Two friends came over to visit, and I was starting to feel silly and incapable of communicating--much like the beginning of a mushroom trip for me. My stomach *was not* upset, although I hadn't eaten a lot for about 3 hours beforehand. The visual stimulation came on VERY quickly; I noticed the table cloth 'breathing' and the textures and colors begin to move and sway. The two friends who came over noticed I had been staring at the table cloth for a long time, and that's when I realized I had started tripping. This was approximately 45 minutes from ingestion (~12:15).
The two friends left and the next 4-5 hours were blurry and somewhat traumatic. I kept waiting for the 'happy' E feeling to kick in, and it never did. My boyfriend and I couldn't communicate at all which caused me more anxiety because he seemed FAR off, and I couldn't figure out where he was emotionally. We went to the bedroom and started having sex. My predominant memory from this was that when i touched him I physically felt far away. His body felt like play dough--like I wasn't feeling all physical input. We both felt like we had cotton mouth.
In my head, I had all these strange scenarios going on--some scary and intimidating, and I wasn't quite sure what was happening. Everything was going crazy around me, and I had this sense of fear in my chest. I tried to explain it to my boyfriend, but couldn't get the words out. We couldn't communicate verbally at all. I could think about what I wanted to say, but couldn't say it. My other predominant memories for the next 3 hours (until about 3 a.m.) were guilt at not being able to get up to help my friend move, worrying I was never going to stop tripping, and not knowing what was happening.
It finally occurred to me I was tripping and on something similar to my first acid trip. This calmed me down some, and I told myself to enjoy the experience. For the next hour my bf and I moved to the living room and listened to music (DJ Shadow and DJ Krush were particularly good) and looking at the art on the walls. The images were 3-D and I felt like I could step inside them. I was enjoying that. I also noticeably felt very cold, although my BF didn't. I had to wrap myself in a blanket.
Around 4 a.m. we returned to bed and were still tripping really HARD. I felt a lot of anxiety about not being able to sleep and tossed and turned for maybe two hours. My BF was able to fall asleep, but I would shut my eyes and see neon tracers and geometric designs all over. Lots of pink and orange colors. The white ceiling was bumpy and took on a stalagmite look. I had to urinate a lot.
I think I fell into a fitful sleep around 6 a.m., sometime before the sun came up. We woke up around 9 a.m. and realized we were STILL tripping and this freaked us both out. We both didn't want to feel that way. I had to call my friend and tell her I couldn't help her move in the morning, but would help her unload in the afternoon. The intense visuals, although still apparent, had started to calm down, and my boyfriend and I were able to communicate verbally finally. We talked some things through and he calmed me down.
After that I started to really enjoy myself. The visuals were less intimidating and everything was very bright. I felt happy, and realized I was having fun. We both got up and showered. I took a walk by myself to the store, called some friends on my cell, and went and bought some stuff for breakfast (this was now around 11:30 a.m.). I wasn't having as many visuals, but things were still bright, and I could still feel some confusion and 'trippiness' in how I was feeling and acting. It's spring and all the flowers on the trees looked beautiful. It was sunny out and I felt very happy. I thought I'd like to try a smaller dose of Foxy while taking a hike. It seemed much more interesting outside--much like mushrooms.
When I got to the store, they had all these food samples. I was hungry and tried all these samples. It was immensely enjoyable, and it seemed like food tasted better than normal.
I returned to my bf's house. We cooked and ate breakfast. We felt a sense of peace and happiness and had some great realizations. We were able to talk about the night before, and although it had seemed difficult at the time, we realized it had been important and meaningful.
I left his house around 2pm, and still felt some mild effects of the drug. I had to drive an hour away to help my friend move, which I was able to do. I really enjoyed the drive, as it was very sunny, and the music in my car stereo seemed particularly enjoyable.
Later that night (around 7pm), we took a little bit more--maybe about 2-3mg. I felt the effects, but it was very subtle. I felt silly and sociable and was very relaxed.
I didn't really notice any negative 'body' effects that people typically report except muscle tenseness--clenching of the fists similar to what happens with amphetamines.
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.


The mapper module provides functionality to map table rows when persisting or selecting rows.
We must first add another dependency to our build file:
libraryDependencies += "org.scalarelational" %% "scalarelational-mapper" % "1.1.0"
libraryDependencies += "org.scalarelational" %% "scalarelational-h2" % "1.1.0"
For the mapper you need the following additional import:
import org.scalarelational.column.property.{AutoIncrement, ForeignKey, PrimaryKey, Unique}
import org.scalarelational.datatype.Ref
import org.scalarelational.h2.{H2Datastore, H2Memory}
import org.scalarelational.mapper._
When defining a table definition with the mapper, the key difference is that you need to use MappedTable
and supply the case class
you want to map it to. We change the example from the previous chapter to:
object MapperDatastore extends H2Datastore(mode = H2Memory("mapper")) {
object suppliers extends MappedTable[Supplier]("SUPPLIERS") {
val name = column[String]("SUP_NAME", Unique)
val street = column[String]("STREET")
val city = column[String]("CITY")
val state = column[Option[String], String]("STATE")
val zip = column[String]("ZIP")
val id = column[Option[Int], Int]("SUP_ID", PrimaryKey, AutoIncrement)
override def query = q.to[Supplier]
}
object coffees extends MappedTable[Coffee]("COFFEES") {
val name = column[String]("COF_NAME", Unique)
val supID = column[Ref[Supplier], Int]("SUP_ID", new ForeignKey(suppliers.id))
val price = column[Double]("PRICE")
val sales = column[Int]("SALES")
val total = column[Int]("TOTAL")
val id = column[Option[Int], Int]("COF_ID", PrimaryKey, AutoIncrement)
override def query = q.to[Coffee]
}
}
You may have noticed that the supplier ID in coffees
now has a type-safe reference. The second type argument of column
denotes the underlying SQL type, which in case of foreign keys is an integer.
As previously, create the tables using create
:
import MapperDatastore._
session {
create(suppliers, coffees)
}
Output:3
Along with the table definition, you have to declare an accompanying case class
, which is called entity. An entity needs to contain exactly the same columns as the table and the columns must have the same types.
A case class
needs to extend from Entity
. Furthermore, it needs to define the table that the columns map to.
case class Supplier(name: String,
street: String,
city: String,
state: Option[String],
zip: String,
id: Option[Int] = None) extends Entity[Supplier] {
def columns = mapTo[Supplier](MapperDatastore.suppliers)
}
case class Coffee(name: String,
supID: Ref[Supplier],
price: Double,
sales: Int,
total: Int,
id: Option[Int] = None) extends Entity[Coffee] {
def columns = mapTo[Coffee](MapperDatastore.coffees)
}
Though all of these fields are in the same order as the table, this is not required to be the case. Mapping takes place based on the field name to the column name in the table, so order doesn’t matter.
We’ve create a Supplier
case class, but now we need to create an instance and insert it into the database:
import MapperDatastore._
session {
val starbucks = Supplier("Starbucks", "123 Everywhere Rd.", "Lotsaplaces", Some("CA"), "93966")
starbucks.insert.result
}
Output:1
It is worth noting here that the result is the database-generated primary key.
Now define some global IDs first that we will use throughout this chapter:
object Ids {
var acmeId: Ref[Supplier] = _
var superiorCoffeeId: Ref[Supplier] = _
var theHighGroundId: Ref[Supplier] = _
}
And insert some additional suppliers and capture their ids:
import MapperDatastore._
import Ids._
transaction {
acmeId = Supplier("Acme, Inc.", "99 Market Street", "Groundsville", Some("CA"), "95199").insert.result
superiorCoffeeId = Supplier("Superior Coffee", "1 Party Place", "Mendocino", None, "95460").insert.result
theHighGroundId = Supplier("The High Ground", "100 Coffee Lane", "Meadows", Some("CA"), "93966").insert.result
(acmeId, superiorCoffeeId, theHighGroundId)
}
Output:(2,3,4)
Now that we have some suppliers, we need to add some coffees as well:
import MapperDatastore._
import Ids._
session {
Coffee("Colombian", acmeId, 7.99, 0, 0).insert.
and(Coffee("French Roast", superiorCoffeeId, 8.99, 0, 0).insert).
and(Coffee("Espresso", theHighGroundId, 9.99, 0, 0).insert).
and(Coffee("Colombian Decaf", acmeId, 8.99, 0, 0).insert).
and(Coffee("French Roast Decaf", superiorCoffeeId, 9.99, 0, 0).insert).result
}
Output:List(5)
Note that we need to use type-safe references for the suppliers.
We’ve successfully inserted our Supplier
instance. The syntax for querying it back out is similar to SQL:
import MapperDatastore._
import suppliers._
session {
val query = select (*) from suppliers where name === "Starbucks"
query.to[Supplier].result.head()
}
Output:Supplier(Starbucks,123 Everywhere Rd.,Lotsaplaces,Some(CA),93966,Some(1))
The mapper will automatically match column names in the results to fields in the case class
provided. Every query can have its own class for convenience mapping.
Use ref
on a table definition to obtain its reference. It can then be used in queries and compared to foreign key columns like supID
.
import MapperDatastore._
session {
val query = (
select (coffees.name, suppliers.name)
from coffees
innerJoin suppliers
on coffees.supID === suppliers.ref
)
query.result.toList.mkString("\n")
}
Output:COFFEES(COF_NAME: Colombian, SUP_NAME: Acme, Inc.)
COFFEES(COF_NAME: French Roast, SUP_NAME: Superior Coffee)
COFFEES(COF_NAME: Espresso, SUP_NAME: The High Ground)
COFFEES(COF_NAME: Colombian Decaf, SUP_NAME: Acme, Inc.)
COFFEES(COF_NAME: French Roast Decaf, SUP_NAME: Superior Coffee)
Joins are one of the major points where ScalaRelational diverges from other frameworks that have a concept of an ORM:
import MapperDatastore._
session {
val query = (
select (coffees.* ::: suppliers.*)
from coffees
innerJoin suppliers
on (coffees.supID === suppliers.ref)
where coffees.name === "French Roast"
)
val (frenchRoast, superior) = query.to[Coffee, Supplier](coffees, suppliers).result.head()
s"Coffee: $frenchRoast\nSupplier: $superior"
}
Output:Coffee: Coffee(French Roast,3,8.99,0,0,Some(2))
Supplier: Supplier(Superior Coffee,1 Party Place,Mendocino,None,95460,Some(3))
This is an efficient SQL query to join the coffees
table with the suppliers
table and get back a single result set. Using the mapper we are able to separate the columns relating to coffees
from suppliers
and map them directly to our case class
es.
It may be desired to represent a type hierarchy in a single table for better performance:
trait User {
def name: String
def id: Option[Int]
}
case class UserGuest(name: String, id: Option[Int] = None) extends User with Entity[UserGuest] {
def columns = mapTo[UserGuest](UsersDatastore.users)
val isGuest = true
}
case class UserAdmin(name: String, canDelete: Boolean, id: Option[Int] = None) extends User with Entity[UserAdmin] {
def columns = mapTo[UserAdmin](UsersDatastore.users)
val isGuest = false
}
object UsersDatastore extends H2Datastore(mode = H2Memory("mapper")) {
object users extends MappedTable[User]("users") {
val id = column[Option[Int], Int]("id", PrimaryKey, AutoIncrement)
val name = column[String]("name")
val canDelete = column[Boolean]("canDelete", Polymorphic)
val isGuest = column[Boolean]("isGuest")
override def query = q.to[User]
}
}
Create the tables:
import UsersDatastore._
session {
create(users)
}
Output:1
Now you can insert a heterogeneous list of entities:
import UsersDatastore._
session {
UserGuest("guest").insert.result
UserAdmin("admin", canDelete = true).insert.result
}
Output:2
To query the table, you will need to evaluate the column which encodes the original type of the object, namely isGuest
in this case. For more complex type hierarchies you may want to use an enumeration instead of a boolean flag.
import UsersDatastore._
val query = users.q from users
val results = query.asCase[User] { row =>
if (row(users.isGuest)) classOf[UserGuest]
else classOf[UserAdmin]
}
session {
results.result.converted.toList.mkString("\n")
}
Output:UserGuest(guest,Some(1))
UserAdmin(admin,true,Some(2))
Generated with MetaDocs v0.1.1-SNAPSHOT


NHL is the more common form of lymphoma, and is actually the 6th most common form of cancer in men, and 5th in women, posing a serious problem to everyone. NHL is essentially the uncontrollable growth of a specific type of cell called a lymphocyte.
Lympphocytes can be broken up into two types of cells, B-Cells and T-Cells. B-Cells make antibodies, and fight against common germs like bacteria and viruses. These B-Cells use the antibodies they create to latch onto germs and mark them to be destroyed by T-Cells. T-Cells perform the actual destruction of harmful germs by digesting germs or boosting the performance of other T-Cells by secreting chemicals. NHL renders these types of cells useless, opening the body up to more attacks, and becoming weaker in defending them at the same time.
The real danger of NHL comes from the fact that it can spread so easily to places with lymphocytes, like the spleen, digestive tract, bone marrow, and many others. Symptoms may include swollen lymph nodes, severe pain in the joints, chest, or abdomen, whole body fatigue, and many more.
Hodgkin's Disease(HD) attacks the same areas that NHL does: Lymphocytes. HD takes over these cells found in the immune system, and renders them weakend or useless, making the body more prone to sicknesses. Because of this, the symptoms for HD are very similar to NHL. There is one key difference however, which can only be seen under a microscope.
The real difference between NHL and HD is the type of lymphocyte affected. Under close scrutiny of a doctor's microscope, one can tell the difference between NHL and HD if the lymphocyte affected is a Reed - Sternberg Cell. RS cells are very large compared to other types of cells, and are typically considered to be a sub set of B-Cells, performing functions much slower and less efficiently. If there are multitudes of thise type of cell in the lymphatic system, it is a clear sign of HD.
Once a patient is diagnosed with any form of Endometrial Cancer, the best doctors and other medical staff work with the patient to create the best possible treatment plan. The oncologist is a general cancer doctor that establishes the optimal treatment plan for the patient. The medical oncologist specializes in treating cancer with chemotherapy and various chemicals that have been proven to aid with lymphoma. Lastly, the Hematology pathologist is a doctor who focuses on the diagnosing and treatment of blood diseases, in this case, types of Lymphoma.
Depending on the type and stage of the cancer and other factors, treatment options for Lymphoma can include: Chemotherapy, Immunotherapy, and certain forms of Targeted Therapy. Sometimes, more than one of type of treatment might be used. In choosing which treatment plan is best for the patient, some important factors to consider include the location and stage of the cancer, the patient's overall health, the chances of curing the disease, and the possible impact of the treatment on the blood and lymphatic system.
Immunotherapy is a form of therapy recently created, that is specific to treating the lymphatic system, and the system that gets hurt with Lymphoma: the immune system.
This works through a process of using Monoclonal Antibodies, which are designed to target cancer cells and recruit immune cells to attack. The entire point behind this is to strengthen the immune system, to fight against cancerous lymphocytes.
Recent developments in science have allowed us to discover medicines like mogamulizumab and milatuzumab, which are able to not only strengthen a patients immune system, but target only cancerous cells, leaving the body stronger than ever before and free of cancer.
Over the years, chemotherapy has been refined through many endeavors of scientific communities all around the world, and for Lymphoma, many new chemicals have been created to target cancerous cells specifically, while leaving a patient healthier in the long run.
Chemicals like Cyclophosphamide (clinically known as Cytoxan) and Bendamustine (clinically known as Treanda) are all newly developed and are treating more lymphoma patients than ever before.
The Lymphoma Research Foundation is a foundation that strives for one goal: to further the research and development behind Lymphoma cancers, and to create better and more efficient way to treat this deadly cancer.
Through many of their annual events like their charity walk, the LRF has raised millions of dollars all for the support of Lymphoma research. Since 2003, their charity walk has contributed over $7.5 million to research against lymphoma, and they did it because of people like you and me. Through your simple donation, you can help change the lives of thousands across the nation. Donate today!
The Lymphoma Foundation of America is a foundation started in 1986, created by a group of people with Lymphoma, dedicated to the betterment of the quality of life and treatment of Lymphoma patients just like them all across the nation.
They offer many services like one on one counseling, educational programs, second opinions, and also suggest doctors around the nation, all to provide the best care possible to Lymphoma patients everywhere. Through the efforts of their volunteers and normal people like you and me, they have managed to win many Research Grants and Young Scientist awards, all for the betterment of Lymphoma patients.
People like you are the ones who keep foundations like these running. Because of you, these foundations are able to keep up their work, and slowly destroy a disease that plauges people around the world. Take a simple step forward, and contribute to the battle against Lymphoma through the Lymphoma Foundation of America.
In order to succeed in the fight for life we must join together and connect. Through social media, the sharing of stories, and advancement in research we, together, have the opportunity to beat Lymphoma.


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Music
Videos
Tour
Store
Socials
Music
In My Room
Spotify
Play Spotify
Apple Music
Play Apple Music
Soundcloud
Play Soundcloud
December 7, 2019
December 7, 2019
December 7, 2019
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December 7, 2019
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December 7, 2019


"SHAMMAH "desert. (1.) One of the “dukes” of Edom (Genesis 36:13, 17). (2.) One of the sons of Jesse (1 Samuel 16:9). He is also called Shimeah (2 Samuel 13:3) and Shimma (1 Chronicles 2:13). (3.) One of David’s three mighty men (2 Samuel 23:11, 12). (4.) One of David’s mighties (2 Samuel 23:25); called also Shammoth (1 Chronicles 11:27) and Shamhuth (27:8).
"SHAMMAH "desert. (1.) One of the “dukes” of Edom (Genesis 36:13, 17).
(2.) One of the sons of Jesse (1 Samuel 16:9). He is also called Shimeah (2 Samuel 13:3) and Shimma (1 Chronicles 2:13).
(3.) One of David’s three mighty men (2 Samuel 23:11, 12).
(4.) One of David’s mighties (2 Samuel 23:25); called also Shammoth (1 Chronicles 11:27) and Shamhuth (27:8).


Before Change
energy = {}
data_source_rank = {} // overwrite Power with Energy with Energy(cumulative)
for (physical_quantity, ac_type), series in df.iteritems():
if physical_quantity == "power":
// Preference is to calculate energy from
After Change
for (physical_quantity, col_ac_type) in df.keys()
if col_ac_type == ac_type]
for pq in PHYSICAL_QUANTITY_PREFS:
if pq in physical_quantities:
selected_columns.append((pq, ac_type))
break
energy = {}
for col in selected_columns:
print("Calculating energy for column", col)
(physical_quantity, ac_type) = col


The CSS3 slider does exactly what it's name suggests. It slides things and is built entirely out of normal HTML5 and CSS3. No javascript required!
You can put anything within the slide, links, text, images, images with hidden captions (that have more images), iFrames.. The list is endless.
You can have any number of slides, and set any one of them to be the default slide (the one you see first.)
This is completey JS free. This demo uses jQuery to add a class to the slider to switch between manual and automatic modes. For demonstration purposes only.


--- title: Sources and weights keywords: fastai sidebar: home_sidebar summary: "Define the PointSource class, code to load weight tables to combine with photon data" description: "Define the PointSource class, code to load weight tables to combine with photon data" nb_path: "nbs/03_sources.ipynb" ---
We use a full-sky catalog analysis model, currently pointlike, see source_weights, to evaluate the predicted flux from a source of interest with respect to the background, the combined fluxes from all other sources.
We choose the following binning:
In the tables, the energy index and event type are packed into a 1-byte band index, and the HEALPix index is in NEST order.
The table output also includes the predicted flux for each band, and the spectral model used.
def weight_table_plots():
"""
### Plots of weight vs. radius
These plots, of a strong source with little background, and a weak one, show the
value of the weight vs. the radius of the pixels in the table. These is a
plot for each energy/event type band. The top row has energies 100 MeV to 1 GeV,
the bottom row 1 GeV to 10 GeV, Front, in green, and Back in orange.
{img}
Note the absense of Back for energies below {Emid} MeV. The pointlike model does not
compute these to avoid the larger PSF and Earth limb background. The maximum radius
per band is determined by the PSF.
"""
Emid = round(10**2.5)
img = image('weight_table_plots.png', width=500, caption=None)
return locals()
nbdoc(weight_table_plots)
The local code used to do the unpacking is in the class WeightMan
This table is used with the data, as a simple lookup: A weight is assigned to each photon according to which energy, event type or HEALPix pixel it lands in.
Consider the case where sources $S_1$ and $S_2$ have overlapping pixels. For a given pixel the corresponding weights are $w_1$ and $w_2$, and we investigate the effect on $S_1$ from a fractional variation $\alpha_2 \ne 0$ of $S_2$, such that its flux for that pixel, $s_2$, becomes $(1+\alpha )\ s_2$. With the background $b$, the flux of all sources besides $S_1$ and $S_2$, we have for the $S_1$ weight, $$ w_1 = \frac{s_1}{s_1+s_2+b}\ \ ,$$ and similarly for $S_2$.
Replacing $s_2$ with $(1+\alpha ) s_2$, we have for the modified weight $w_1'$ that we should use for $S_1$, {% raw %} $$w'_1 = \frac{w_1}{1+\alpha_2\ w_2}\ \ . $$ {% endraw %}
# source = PointSource(179.8, 65.04, gal=True); print(source, source.nickname)
# PointSource('PSR B1259-63')


1.
The spots on a giraffe’s body act as camouflage for protection against predators.
Simple Past
Simple Present
Simple Future
2.
Ms. Jones taught multiplication to the students yesterday.
Simple Past
Simple Present
Simple Future
3.
Earth experiences four seasons due to its tilt and rotation.
Simple Past
Simple Present
Simple Future
4.
We shall go grocery shopping on Saturday.
Simple Past
Simple Present
Simple Future
5.
Please hang the painting on the wall.
Simple Past
Simple Present
Simple Future
6.
Mom will pay my school trip fees tomorrow.
Simple Past
Simple Present
Simple Future
7.
The siblings fought for the last slice of pizza.
Simple Past
Simple Present
Simple Future
8.
Everyone loves to relax on Sundays.
Simple Past
Simple Present
Simple Future


Copy this in the head section of your page
<script>
alert("Hola mundo");
</script>
Open your web browser dev tools and go the the console tab
We can do math:
2+2
4
2+2*5
12
Variables are boxes that can have a value inside
var myAge = 10;
var myAddition = 2 + 2;
var myName = "David";
var number = myAge + myAddition; // number = 14
a function is a group of commands that performs some useful task
// we are calling the function alert, in other words
// we are commanding to the browser to execute
// the alert function
alert("Hola");
How to define functions
function decirHola(){
alert("hello");
}
function addTwoNumbers( a, b ){
return a + b;
}
Create a function that return the double of a provided number
var somethingTrue = true;
var somethingFalse = false;
var number = 2.4;
var text = "a text";
var list = [ 1, 2, 5, "text"];
var object = {
numberInsideObject: 3,
textInsideObject: "text"
};
var list = [ 1, 2, 5, "text!"];
alert( list[ 0 ] ); // first element of a list
var object = {
numberInsideObject: 3,
textInsideObject: "text"
};
alert( object.numberInsideObject );
Create a list of your favourites music groups
Create a function that gets your favourite music band
<script src="https://code.jquery.com/jquery-2.2.2.min.js">
</script>
Similar to css selectors
// this function gets all the paragraphs in the web page
$( "p" );
// this gets all the elements with the class warning
$( ".warning" );
// this gets the element with the unique indentifier title
$( "#title" );
// hide all the paragraphs in the page
$( "p" ).hide();
// show all the elements with warning class if hidden
$( ".warning" ).show() ;
// change the value of the element with id title
$( "#title" ).html("my new title");
When a user interact with the web page, a event is fired. We can catch the event and execute some action
// function that sets a background of an element to red
function turnRed(){
$(this).css("background", "red");
}
// when the user click on the element with id myelement
// the turnRed function is called, and the element background
// is chaged to red
$( "#myelement" ).on("click", turnRed);
Magic!
Try this code in the console:
2 == 2;
2 == 3;
3 > 2;
2 > 3;
Ejecute some actions if the condition is true
var myAge = 10;
if ( myAge > 10 ){
alert("I have more than 10 years!");
}else{
alert("I have less than 10 years");
}
if( $('.mylement').is(":visible") ){
alert('visible');
}else{
alert('not visible');
}


{% extends 'bz_admin/base.html' %} {% load crispy_forms_tags %} {% block bugzilla-body %} {% if changes.name %}
Updated product name from '{{ changes.name.old }}' to '{{ changes.name.new }}'.
{% endif %} {% if changes.description %}Updated description to:
{{ changes.description.new }}
{% endif %} {% if changes.isactive %} {% if changes.is_active.new %}Product is now closed to new bugs.
{% else %}Product is now open for new bugs.
{% endif %} {% endif %} {% if changes.allows_unconfirmed %} {% if changes.allows_unconfirmed.new %}The product no longer allows the UNCONFIRMED status. Note that any bugs that currently have the UNCONFIRMED status will remain in that status until they are edited.
{% else %}The product now allows the UNCONFIRMED status.
{% endif %} {% endif %}Add a product. Edit product '{{ product.name }}'. Edit other products.
{% endblock %}


Whale Startups is a new and innovative startup company based at The University of California, Irvine that aims to develop technology to make people's lives easier. We are a passionate group of individuals that have an ambition to infuse our talent into the tech world. We specialize in cross platform applications and bleeding edge technology. Our members are dedicated to bringing you apps that enhance your favorite activities. We seek to create unique products that connect people and ideas from all over the world.
Groovee is a unique app that connects DJs to their audience. Coming soon!
Whale Talk is an application that makes it easier to instantaneously connect with your classmates. By inputing your own school schedule you are put into a group chat with everyone in your class. Users can choose to interact anonymously or not. We encourage students to connect with their classmates to answer questions, form study groups, or discuss lecture topics.
Feel free to harpoon us an email at any time for any reason. Be sure to swim with us on all our social media


An app to assist in transcribing observations for the Weather Rescue project.
Open table >>Weather Rescue Table (WRT) provides a table into which you can transcribe the weather observations. After checking for possible errors, it creates output that you can paste into the boxes on the Weather Rescue site.
Read the quick start guide.
WRT is not an official part of the Weather Rescue project. Code is available on GitHub. MIT license.


two-lines items
two-lines items + icons
one-line items + icons
one-line items + icons - text
radiogroup
checkbox group


The 3 Yields: A Passive Allocation Income Investors Can Use To (Substantially) Reduce Risk And Maximize Yield
by Harrison SchwartzSummary
- The current bond-centric approach to income most investors take carries substantial inflation risk and generates a very low yield today.
- 80% of total wealth is now owned by retirees (or soon to be) who cannot afford to have inflation eliminate their real income stream.
- By using a three-pronged approach into other income yielding strategies, inflation risk can be substantially reduced (as well as most other systemic risks).
- This includes small allocations to recently unpopular asset classes like BDCs, MLPs, mREITs, and Covered Call ETFs.
- The backtest of this strategy has a stable dividend yield of around 5-6% with less volatility than a "low-risk" 10-Year Treasury Bond.
(Pexels)
Income investing has seen a surge in popularity over recent years. Many investors have made high returns on their equities and are now looking for ways to transfer those capital gains into a consistent stream of income.
This is further exacerbated by the fact that most investors are at or near retirement. Importantly, 80% of total U.S household wealth is held by folks in or very near retirement age. Since it is generally believed (and generally true) that those in or near retirement should focus on income investing over growth investing, it follows that most capital flows will continue to be into yielding investments. However, with U.S core CPI at 2.3% and rising, bonds may no longer be safe.
When such investors look for yield, they almost always consider bonds first. Due to a drop in inflation, bonds have generated stellar returns since 2009. "Bond proxies" like Utilities (XLU) and Consumer Staples (XLP) have also benefited from that trend.
That said, despite a widespread "endless deflation" narrative that caused bond values to surge earlier this year, most economic data point to higher inflation going forward. Thus, many of these bond investors might be stuck with low 1.5%-4% yielding bonds that will deliver negative real returns over their lifetime.
The extreme popularity of bonds and bond proxies today seems to be largely a historical anomaly caused by deflation. In fact, there are other high-yielding assets income investors can allocate toward that will substantially limit this risk and likely boost returns.
The Three Yields
The way I see it, there are primarily three largely independent ways investors can generate a yield on their portfolio: fixed payment debt (i.e bonds, bond proxies), "yield curve arbitrage" (i.e business development companies, mortgage REITs, master limited partnerships), and financial insurance (i.e selling covered calls, short volatility strategies).
Each of these three factors come with varying degrees of risk that correspond to the income they generate. However, those risks are different for each and can be mitigated by diversifying into all three.
Here is a chart explaining these risk and reward factors. I broke them down by "principal" risks and rewards which impact the direct price/value of the investment and "yield" risks and returns which impact changes in payments.
| Yield Type | Examples | Principal Risk | Yield Risk | Principal Return | Yield Return |
| "Debt" (Defined by being debt-like) | Gov. Bonds IG Corp. Bonds Consistent Dividend Equities Preferred Equities | Inflation | Default | Deflation | Interest Payments |
| "Curve Arbitrage" (Borrow at short-term lend at long-term) | Mortgage REITs Lending Banks Business Development Companies/PE Master Limited Partnerships Leveraged Loans | Yield Curve Inversion | Default | Yield Curve Steepening | Improved Economic Health |
| "Financial Insurance" | Covered Calls Naked Put Writing Iron Condors/Short Straddles VIX selling | (Depends on underlying) | Market Volatility | (Depends on underlying) | Lack of Market Volatility |
As you can see, each of these income assets generate a yield from a different source and thus carries different risks. They all share default risk (market volatility is essentially default risk), but that can be partly mitigated by diversification between private and public organizations (as well as commodities).
As I'll demonstrate in the following section, combining these three approaches has historically led to much higher income and principal stability.
Creating A Truly Diversified Income Portfolio
To create a portfolio that fully capitalizes on this concept, I picked 15 ETFs with five from each category. While many weighting systems could be used, I figured the most logical approach was to create a portfolio with weights such that each ETF contributes the same dividend return. Like a "risk parity" approach, ETFs with high dividends are weighted less than those with low dividends. This seems reasonable enough as dividend yields are generally assumed to be correlated with risk.
I also created three portfolios, one for each subcategory with the same weighting system.
Here is a table breakdown of the funds used:
| Yield Portfolio | ETF | Asset | Current Yield | Total Portfolio Weight | Subcategory Portfolio Weight |
| "Debt" | (XLU) | Utilities | 2.9% | 13% | 24% |
| (PFF) | Preferred Equity | 5.56% | 7% | 12% | |
| (TLT) | LT. Treasuries | 2.26% | 16% | 30% | |
| (EMB) | Emerging Market Bonds | 5.4% | 7% | 13% | |
| (LQD) | IG Corporate Debt | 3.33% | 11% | 21% | |
| "Yield Curve Arbitrage" | (AMLP) | Master Limited Partnerships | 9% | 4% | 16% |
| (REM) | Mortgage REITs | 8.6% | 4% | 17% | |
| (BIZD) | Business Development Companies | 9.60% | 4% | 15% | |
| (BKLN) | Bank Leveraged Loans | 5.1% | 7% | 29% | |
| (PSP) | Private Equity (Partly overlaps with BDC's) | 6.5% | 6% | 23% | |
| "Financial Insurance" | (QYLD) | Nasdaq Covered Calls | 10.2% | 4% | 16% |
| (USOI) | Crude Oil Covered Calls | 18% | 2% | 9% | |
| (GLDI) | Gold Covered Calls | 7.2% | 5% | 23% | |
| (HSPX) | S&P 500 Covered Calls | 6.1% | 6% | 27% | |
| (SLVO) | Silver Covered Calls | 6.6% | 6% | 25% |
Note, dividend yields fluctuate a lot for "financial insurance" so forward dividends may differ, but much of those should cancel out within the portfolio.
Using the subcategory weights and the total portfolio weights, here are the backtested total returns of each (which includes dividends):
(Note, for the few ETFs that did not exist in 2013, the weighting system is redistributed across the existing ETFs such that the total still adds up to 100%.)
(Data Source - Yahoo Finance)
As you can see, the combination "triple yield" portfolio generates far more consistent returns than its components. While "debt" performed best, the outperformance was largely due to falling inflation over that time frame, not innate superiority.
To demonstrate, take a look at my risk and reward metrics for each:
Note, "winning" metric is bold for each.
| Portfolio | Expected Dividend | Annualized Vol | Div/Vol | Equity Corr. | ST. Tres. Bond Corr. | LT. Tres. Corr. | U.S Dollar Corr | Abs Corr Sum |
| "Debt" | 3.44% | 7% | 0.50 | 0.08 | 0.55 | 0.80 | -0.19 | 1.63 |
| "Curve Arb" | 7.34% | 9% | 0.80 | 0.77 | -0.18 | -0.22 | -0.09 | 1.26 |
| "Financial Insurance" | 8.22% | 11% | 0.76 | 0.45 | 0.06 | 0.02 | -0.27 | 0.80 |
| Combined "Triple Yield" Strategy Portfolio | 5.47% | 6% | 0.94 | 0.53 | 0.30 | 0.43 | -0.26 | 1.52 |
As you can see, the "outperforming" debt strategy now has the lowest expected dividend while the "underperforming" financial insurance strategy has the highest expected dividend. Put simply, higher principal performance today = lower future dividends and performance tomorrow.
Importantly, the Triple Yield Strategy offers not only the lowest annualized volatility but the highest dividend yield for volatility as seen by its significantly higher "Div/Vol" metric. It generates a higher yield than "Debt" with less volatility. It has an expected dividend of 5.5% today and a historical average total annual return of 5.25%.
I also included correlation metrics for each portfolio vs. major assets to highlight the enormous systemic risk reduction of this allocation strategy.
You can see that "debt" has a low correlation to equities (despite two of the holdings being "equity") but a very high correlation to long-term Treasuries that carry extreme inflation risk. The "curve arb" portfolio actually has a negative bond correlation which is explained by its very high equity (economic growth) correlation. Finally, "financial insurance" has a low correlation to basically everything as shown by its lowest sum of absolute correlations so it has the lowest systemic risk. That said, it also contributes to the most volatility.
While each of these carries high systemic risk in themselves, they carry almost none when combined. From an R^2 perspective, the combined portfolios' highest R^2 is merely 26% to the equity market (.53^2). Thus, both the principal value and the dividends yield of the combined "triple yield" allocation strategy is unlikely to be seriously impacted by any macroeconomic shocks. For a retired or near retirement investor, this attribute is absolutely critical.
The Bottom Line
They say "do not put all your eggs into one basket." However, many income investors today have a tendency to put all of their eggs in very similar baskets.
While diversifying between Utilities, Preferred Equity and a mix of corporate and sovereign bonds is certainly better than allocating 100% into sovereign bonds, it is still a very systemically risky bet. Due to strong recent performance, such an approach delivers a very low net dividend yield and a very high inflation risk.
By allocating toward each of the three major sources of yield, inflation risk is reduced tremendously and a strong dividend yield of 5.5% is likely to be sustained during a macroeconomic shock if the strategy is rebalanced at least yearly. Equally important, the portfolio's principal is less likely to be harmed in any normal shock.
It is also worth noting this approach is the bare minimum one could do to generate a safe passive income stream. By picking individual names with the same allocation breakdown, one could quickly get another 50bps or more in returns by eliminating ETF management fees. Of course, one could go even further with active management and look for undervalued investments in each category and add additional alpha to the strategy.
It will be interesting to see how the robustness of this approach continues looking forward. My expectations are that it will. It is worth noting that I backtested it all the way since 2005 and had an average 6.5% annual return with a maximum drawdown of 25% in 2008, though excluded it from the discussion since it could not include the commodity-centric "financial insurance" component.
If you found this discussion interesting, feel free to "follow" for more and/or share the article with your friends.
Interested In Closely Following Global Events?
"The Country Club" is a dedicated service that focuses on single-country and regional ETFs with the goal of helping our subscribers diversify globally and get a better grasp on how world events will affect their portfolio. We will certainly be providing subscribers further updates on this idea.
Subscribers receive exclusive ideas, model portfolios, and a wide range of tools including our exclusive "Country Club Dashboard" which allows them to visualize global financial and economic data. If you haven't already, please consider our 2-week free trial and get your passport to global markets today!
Disclosure: I am/we are short LQD, EMB,TLT. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.


|
BitShares-Core
6.1.0
BitShares blockchain implementation and command-line interface software
|
#include <logger.hpp>
Classes | |
| class | impl |
Public Member Functions | |
| logger () | |
| logger (const string &name, const logger &parent=nullptr) | |
| logger (std::nullptr_t) | |
| logger (const logger &c) | |
| logger (logger &&c) | |
| ~logger () | |
| logger & | operator= (const logger &) |
| logger & | operator= (logger &&) |
| logger & | set_log_level (log_level e) |
| log_level | get_log_level () const |
| logger & | set_parent (const logger &l) |
| logger | get_parent () const |
| void | set_name (const std::string &n) |
| const std::string & | name () const |
| void | add_appender (const appender::ptr &a) |
| std::vector< appender::ptr > | get_appenders () const |
| void | remove_appender (const appender::ptr &a) |
| bool | is_enabled (log_level e) const |
| void | log (log_message m) |
Static Public Member Functions | |
| static logger | get (const std::string &name="default") |
Friends | |
| bool | operator== (const logger &, std::nullptr_t) |
| bool | operator!= (const logger &, std::nullptr_t) |
Definition at line 21 of file logger.hpp.
| fc::logger::logger | ( | ) |
Definition at line 28 of file logger.cpp.
| fc::logger::logger | ( | const string & | name, |
| const logger & | parent = nullptr |
||
| ) |
Definition at line 33 of file logger.cpp.
| fc::logger::logger | ( | std::nullptr_t | ) |
Definition at line 31 of file logger.cpp.
| fc::logger::logger | ( | const logger & | c | ) |
Definition at line 41 of file logger.cpp.
| fc::logger::logger | ( | logger && | c | ) |
Definition at line 44 of file logger.cpp.
| fc::logger::~logger | ( | ) |
Definition at line 47 of file logger.cpp.
| void fc::logger::add_appender | ( | const appender::ptr & | a | ) |
Definition at line 99 of file logger.cpp.
|
static |
Definition at line 87 of file logger.cpp.
| std::vector< appender::ptr > fc::logger::get_appenders | ( | ) | const |
Definition at line 109 of file logger.cpp.
| log_level fc::logger::get_log_level | ( | ) | const |
Definition at line 96 of file logger.cpp.
| logger fc::logger::get_parent | ( | ) | const |
Definition at line 93 of file logger.cpp.
| bool fc::logger::is_enabled | ( | log_level | e | ) | const |
Definition at line 60 of file logger.cpp.
| void fc::logger::log | ( | log_message | m | ) |
Definition at line 64 of file logger.cpp.
| const std::string & fc::logger::name | ( | ) | const |
Definition at line 75 of file logger.cpp.
Definition at line 49 of file logger.cpp.
Definition at line 53 of file logger.cpp.
| void fc::logger::remove_appender | ( | const appender::ptr & | a | ) |
Definition at line 102 of file logger.cpp.
Definition at line 97 of file logger.cpp.
| void fc::logger::set_name | ( | const std::string & | n | ) |
Definition at line 74 of file logger.cpp.
Definition at line 94 of file logger.cpp.
Definition at line 58 of file logger.cpp.
|
friend |
Definition at line 57 of file logger.cpp.


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About this Cool Dad
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Scansite 4 Maintenance
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Welcome to the Scansite 4! There is good and bad news:
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Input Date autofocus Property
Example
Find out if a date field automatically gets focus upon page load:
var x = document.getElementById("myDate").autofocus;
Try it Yourself »
Definition and Usage
The autofocus property sets or returns whether a date field should automatically get focus when the page loads, or not.
This property reflects the HTML autofocus attribute.
Browser Support
| Property | |||||
|---|---|---|---|---|---|
| autofocus | Yes | 10.0 | Yes | Yes | Yes |
Note: The <input type="date"> element does not show any date field/calendar in IE11 and earlier versions.
Syntax
Return the autofocus property:
inputdateObject.autofocus
Set the autofocus property:
inputdateObject.autofocus = true|false
Property Values
| Value | Description |
|---|---|
| true|false |
Specifies whether a date field should get focus when the page loads, or not
|
Technical Details
| Return Value: | A Boolean, returns true if the date field automatically gets focus when the page loads, otherwise it returns false |
|---|
Related Pages
HTML reference: HTML <input> autofocus attribute
❮ Input Date Object