Streamers are facing a huge issue with Paypal donations and that of chargebacks - It makes declaring their incomes all that more complicated along with knowing just how much you're earning whilst streaming, and a whole host of other issues. The Groestlcoin community have developed a completely trustless wallet-to-wallet donation system with the Streamlabs API. There is no third-party handling the transactions, and makes the platform impossible to monetise via fees at a later date like some others are considering.
Donating to streamers via a proof-of-work cryptocurrency such as Groestlcoin; however solves a lot of these existing issues.
1. There are NO chargebacks - Like donations should be. Once you receive your cryptocurrency, they are yours and can not be refunded/charged back. This makes ALL donations SERIOUS donations.
2. People who watch streamers historically tend to have gaming PCs with some kind of graphics card, or high-powered processor to game themselves (With the exception of console gamers, I suppose). Also whilst you're watching streamers play their games, you aren't likely to be using your graphics card to game. How great would it be to be able to watch your favourite streamers, whilst earning money that you can either keep, or donate, without ever touching your bank account? The Groestlcoin community feel that this is a better and more secure way to earn and send cryptocurrency donations. You can mine Groestlcoin directly, or mine whatever is the most profitable for your hardware and convert it to Groestlcoin (NOTE: MiningPoolHub does this automatically if you enable it!).
Groestltip Github:
https://github.com/Groestlcoin/groestltip-streamlabs
Groestltip Platform:
https://groestltip.org


@*
* Copyright 2023 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import controllers.auth.requests.UserRequest
@import tags._
@import scala.concurrent.ExecutionContext
@import components.{ErrorSummary, InputValue, Button}
@this(
main: MainView,
form: FormWithCSRF,
errorSummary: ErrorSummary,
inputValue: InputValue,
button: Button,
govukFieldset : GovukFieldset
)
@(updateAddressForm: Form[models.dto.AddressDto], typ: AddrType, addressFinderDto: Option[AddressFinderDto],
addressLookupServiceDown: Boolean, showEnterAddressHeader: Boolean)(implicit request: UserRequest[_], messages: play.api.i18n.Messages)
@getYourAddressLabels = {
@if(showEnterAddressHeader) {
@typ.ifIs(
residential = Messages("label.enter_your_address"),
postal = Messages("label.enter_the_address"))
} else {
@typ.ifIs(
residential = Messages("label.edit_your_address_optional"),
postal = Messages("label.edit_the_address_optional"))
}
}
@fieldsetDescribedBy = @{
updateAddressForm.errors.foldLeft("")((x, y) => x + " " + y.key + "-error-message").mkString("").trim
}
@title = {
@if(updateAddressForm.hasErrors){@messages("error.message.error") } @getYourAddressLabels.toString
}
@main(
pageTitle = title.toString,
showBackLink = true,
yourProfileActive = true
) {
@errorSummary(updateAddressForm)
@form(action = controllers.address.routes.UpdateAddressController.onSubmit(typ), args = (Symbol("class")) -> "update-address-form", (Symbol("id")) -> "update-address-form") {
@govukFieldset(Fieldset(
describedBy = Some(fieldsetDescribedBy),
legend = Some(Legend(
content = HtmlContent(getYourAddressLabels),
classes = "govuk-fieldset__legend--l",
isPageHeading = true
)),
html = fieldsetContent
))
@button("label.continue", id="updateAddress")
}
}
@fieldsetContent = {
@inputValue(
form = updateAddressForm,
id = "line1",
name = "line1",
labelKey = "label.first_line_of_your_address",
labelClasses = "govuk-label",
classes = Some("govuk-!-width-three-quarters"),
autocomplete = Some("address-line1")
)
@inputValue(
form = updateAddressForm,
id = "line2",
name = "line2",
labelKey = "label.second_line_of_your_address",
labelClasses = "govuk-label",
classes = Some("govuk-!-width-three-quarters"),
autocomplete = Some("address-line2")
)
@inputValue(
form = updateAddressForm,
id = "line3",
name = "line3",
labelKey = "label.third_line_of_your_address",
labelClasses = "govuk-label",
classes = Some("govuk-!-width-three-quarters"),
autocomplete = Some("address-level1")
)
@inputValue(
form = updateAddressForm,
id = "line4",
name = "line4",
labelKey = "label.fourth_line_of_your_address",
labelClasses = "govuk-label",
classes = Some("govuk-!-width-three-quarters"),
autocomplete = Some("address-level2")
)
@inputValue(
form = updateAddressForm,
id = "line5",
name = "line5",
labelKey = "label.fifth_line_of_your_address",
labelClasses = "govuk-label",
classes = Some("govuk-!-width-three-quarters"),
autocomplete = Some("address-level3")
)
@inputValue(
form = updateAddressForm,
id = "postcode",
name = "postcode",
labelKey = "title.postcode",
labelClasses = "govuk-label",
classes = Some("govuk-!-width-three-quarters"),
autocomplete = Some("postal-code")
)
}


Propulsion Software Engineer
Maurice J. Zucrow Laboratories
Performed maintenance updates and managed firmware updates over network for compact-RIO devices.
Designed, tested, and implemented code using LabVIEW for laboratory control rooms to increase overall testing efficiency.
Gained competencies in a range of engineering disciplines and systems including structural design, test instrumentation, and electrical systems.
June 2019 - August 2019
Agency Manager
Allstate Insurance Company
Implement agency processes to increase customer retention rates.
Implement agency lead processes to ensure diversity in lead generation.
Employed and trained staff on agency processes, systems, and tools.
Responsible for allocating market budgets to increase overall production and increase revenue.
Develop and leverage relationships to increase agency traffic.
Maintained a consistent 30-40 hours per week, while maintaining a full-time academic schedule.
Licensed Insurance Producer
Maintained a consistent 30-40 hours per week in addition to working remotely, while maintaining a full-time academic schedule.
Educated the local Baltimore community on insurance products and services.
Participated in networking and outreach events within the community.
Solicited sales for insurance products and services and was recognized consistently as a top performer.
Obtained my Property & Casualty License in the state of Maryland.
Responded to queries, solicited further sales to existing clients, and developed business relationships with local dealerships.
Aided in the training of employees on sales processes and in-house systems.
November 2016 - October 2019
Software Developer, Intern
Juxtopia Group, Inc
Deployed training modules and software updates for augment-reality devices using the Java spring framework.
Leveraged knowledge in MySQL to aid in the design of a database and to query data based on specific user credentials.
Collaborated with developers, architects, and business analysts to achieve project deadlines.
Utilized waterfall development methodology.
June 2017 - December 2017


Student Council Candidates proved that they are worth voting as they answered several questions during the UCU’s version of Harapan 2019 yesterday, February 18 at...
The College of Accountancy and Business Administration (CABA) won the championship award in the intercollegiate Dance Sport competition held today at the Urdaneta City University...
Lingayen, Pangasinan- Urdaneta City University Music Ensemble made a mark in the province upon performing in the Centennial Celebration of the Capitol Building with the theme “Stronger Heritage, Stronger Pangasinan”...
Former resident representative of Konrad Adenauer Stiftung, Dr. Peter Koepingger chose Urdaneta City University-College of Nursing to receive training in International Standard Nursing Graduation (ISNG) in some hospitals in Bavaria,...
Students from the College of Hospitality and Tourism Management (CHTM) organized and attended seminar-workshop on flower arrangement titled, “December Ikebana: A Petal, Leaf, and Stem Sculpture by Master DC” held...
Students from Bachelor of Secondary Education major in English (BSEd Eng) celebrated the last day of the 1st Language Festival by depicting various fictional characters through tableau presentation on December...
Organized by the Google Development Group (GDG) Philippines, the Project D Coders of the College of Computer Studies (CCS) grabbed the championship award in the Social Good Category of the...


To perform a universe selection with custom data, in the Initialize
method, call the AddUniverse
method.
public class MyAlgorithm : QCAlgorithm { public override void Initialize() { AddUniverse<StockDataSource>("myStockDataSource", Resolution.Daily, FilterFunction); } }
class MyAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.AddUniverse(StockDataSource, "my-stock-data-source", Resolution.Daily, self.FilterFunction)


Welcome to the Substances Guides!
To make the most out of the guides, you should have a working knowledge of:
-
HTML, CSS, JavaScript - the building blocks of web pages. You can find documentation of each of these technologies at the Mozilla Developer Network.
-
ES2015 modules - Substance is built as a collection of ES2015 modules. You will better understand Substance's project structure and import paths if you are comfortable with ES6 JavaScript Modules.
-
ES2015 syntax - Substance takes advantage of the newer language features such as classes, arrow functions, template strings, destructuring, and more. Read Understanding ECMAScript 6 online.
The guides are a work in progress. Please forgive us if they contain errors. Also, we are glad for any help with the tutorials!


File h5ppUtils.h¶
↰ Parent directory (/home/david/GitProjects/h5pp/h5pp/include/h5pp/details
)
Contents
Definition (/home/david/GitProjects/h5pp/h5pp/include/h5pp/details/h5ppUtils.h
)¶
Includes¶
cstring
h5ppOptional.h
(File h5ppOptional.h)h5ppTypeSfinae.h
(File h5ppTypeSfinae.h)numeric


Object not found!
-
The requested URL was not found on this server.
The link on the
referring
page seems to be wrong or outdated. Please inform the author of
that page
about the error.
-
If you think this is a server error, please contact
the webmaster
Error 404
-
mat.gsia.cmu.edu
Fri 23 Feb 2007 12:42:02 PM EST
Apache/2.0.40 (Red Hat Linux)


Here is one of the projects i have worked on
Gametronixxs is a site where browsers can get information about the best games on the market.At the moment the following games have been included


Make an extra buck with the tech items you already own! Tech owners can sign up to add their items for rent on our site. Create a listing, receive inquiries, and make arrangements with a renter to lend your tech to them.
Need a camera to start filming? A mic to start recording? Sign up on our site and you can browse the colleciton of tech items available for rent from the generous tech owners of our site. Send them messages and make arrangements to borrow their tech and make your ideas into a reality!


Meet Aseda
Hi loves! I’m Aseda, owner of Aseda’s Finds first, and a digital marketing & operations professional second.
I nurtured my love for business management at Ashesi University, where Aseda’s Finds was birthed.
It’s worth mentioning that it’s you, my AF Queens, who made me more aware of style and fashion because until recently,
I only liked shopping for clothes and admiring from afar. Now, I love to play dress up in my room and feel cute lol.
When I’m not working on AF, catch me working my corporate job, in bed watching something funny,
or fantasizing about all the trips I want to take


THE ARRIVAL A film review by Larry McGillicuddy Copyright 1996 Larry McGillicuddy
*** (out of 4) Directed by David Twohy Starring Charlie Sheen, Lindsay Crouse, Teri Polo, Ron Silver, Tony T. Johnson
Review- So many science fiction films nowadays only seem concerned about special effects, action, and don't focus enough on story and characterization.  Every year comes at least one movie where you go in with low expectations and come out genuinely surprised. This is that movie for this year.
Charlie Sheen stars as Zane, a radio astronomer who listens for sounds from other lifeforms. When he finally gets one, his boss destroys the tape and fires him. Naturally, Zane is not ready to give up, and he comes up with an ingenious way to do this himself. He is aided by a young neighborhood kid and they discover that the sound is coming from Mexico. So Zane goes down there to investigate, and runs into a lady studying why the temperature of the earth has dangerously risen so suddenly. Zane is having marital problems at the time, and an offer by her to spend the night with him is very tempting. Hearing Charlie Sheen deliver the line, "I guess there is something to be said for celibacy" is the funniest thing I have ever heard in a movie since Matthew Broderick discussed asexual reproduction in Wargames.
This is just the setup, and I don't want to give too much away, because a large part of the movies fun is the surprises. Charlie Sheen, who has had a rocky career as of late, is in top form here. He is funny, serious, and determined to accomplish his goal. Sheen's absolutely terrific performance is another big plus to this movie. The story is ingeniously devised by Twohy, who also wrote and directed the equally clever cable movie Grand Tour: Disaster In Time. The films major flaw is a very slow pace, and not much happens in the earlygoings. Viewers may be growing restless for a while, but trust me if you stick around and keep your head in it, you will have a good time.
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


Kanye West Releases “Closed On Sunday” Music Video
by Modupeoluwa AdekanyeFrom his sprawling 4000 plus acres ranch in Wyoming, Kanye West serves the video for “Closed On Sunday”, the second video from ‘Jesus is King” album.
The music video opens alongside Kim Kardashian and their kids North, Saint, Chicago, and Psalm, sitting in the cleft of a rock.
Kourtney and Kris are not also left out in this video, seems like a family reunion.
Kanye brings out his Sunday Service Choir, they surround him as he stands on higher ground in the middle of the crowd.
There are some very dramatic and beautiful visuals of the rugged Wyoming landscape-mountains, rocky terrain, grass-covered plains, and ATVs barreling through the expanse of land.
Watch Video below:
Earlier this year, Kanye and Kim were scolded by Wyoming authorities earlier this year after Kim posted a video that appeared to show Kanye taking the couple on an ATV ride across the range, chasing some pronghorns.
Jesus Is King is the ninth studio album by American rapper and producer Kanye West. It was released on October 25, 2019.
The album follows a Christian theme, with West describing it as “an expression of the gospel.” West had formed his Sunday Service group in January 2019, performing gospel songs and covers of songs from his discography.
Sunday Service performed the songs “Water” and “Everything We Need” live prior to release.


4 Usage Guide
Now that you’ve familiarized yourself with the tables found in the previous section, this next section is going to help you understand how to pull data out of the database and how to join different tables together and being able to put that all together in more useful formats and outputs.
4.1 Answer Questions
We now have a specific table in mind that we are looking to analyze, and maybe even a specific analysis in mind. To get started, click on the option in the top right Ask a question:
Here, you will be given three different options:
Simple question
- After choosing your table you will be brought to an interactive view of the data. See the section about tabular data for more information around using this methodology.
Custom question
- When picking this option, the underlying functionality is similar to what is given on the simple question option, but when doing a custom question the data won’t
Native Query
- If you’re comfortable in SQL and you find that the Metabase interface just gets in the way, feel free to write your own raw SQL code by selecting this option. I have limited the Metabase environment to only allow for
SELECT
statements, if you need additional privileges send me an e-mail.
- If you’re comfortable in SQL and you find that the Metabase interface just gets in the way, feel free to write your own raw SQL code by selecting this option. I have limited the Metabase environment to only allow for
In summary, if you are not familiar with a table and you’re looking to explore the data as you filter different values and whatnot, you will probably want to pick the Simple question. If you have a specific analysis in mind already (e.g. last 7 days prices for ETH sorted by DateTime), you might get to your answer faster making a Custom question so you’re waiting less for the data to load. If you are looking to write your own SQL directly instead of using the Metabase environment to help explore the data in a more intuitive way, go ahead and use the Native Query option.
4.1.1 Exporting Data
Before going over how to export the data, just a quick word about the confidentiality of the data. Over time I have grown to like the idea of making this data more accessible rather than keeping it as private as possible, BUT I have spent a lot of money and time working on this and I would like any type of sharing of the data to go through me for now. Feel free to download as much data out of the database as you would like, just please do not share this data with people who I haven’t explicitly given access to. To get someone access, please have them e-mail me at<EMAIL_ADDRESS>directly.
In order to export the data you are pulling through Metabase, you would press the Download button in the bottom right of the page:
When you are working within Metabase, if your results produce more than 2,000 rows, you would only see a preview of the first 2,000 rows. When you download the results however, you will download the full results of your query up to a million rows.
For example, if you were doing a raw SQL query
SELECT * FROM Bitgur
in the Octoparse database, you would see the first 2,000 rows of the Bitgur raw data, but if you were to click on the Download button, you would be downloading the first 1,000,000 rows from the Bitgur dataset (since it has more than 1 million rows). If you adjusted the query to beSELECT * FROM Bitgur ORDER BY Date DESC
and you clicked Download, you would be extracting the most recent 1,000,000 rows of data out of the database.If you are looking to train a model or do something that requires you to extract more than 1,000,000 rows and you are having a hard time with that limit send me an e-mail.
4.2 pkey and pkDummy fields
Let’s say you went ahead and trained a predictive model using the data found in the database and now you want to test making some semi-live predictions, how would you go about pulling the latest data to make predictions on?
A row is uniquely identified by the individual cryptocurrency symbol, and the date and hour of when the data was collected. All tables were given values that help uniquely identify a data point. All these values are doing, is taking the two values that uniquely identify a row in the dataset and saving the result in a new field called pkey
.
The first step to calculating the
pkey
field is to create a field calledpkDummy
, which is a string that gives the Date and the hour of the day, but no information about the minutes or seconds. For example, if the DateTime of when the data was extracted is 2020-01-01 10:03:53, the resulting value found within thepkDummy
field would be 2020-01-01 10.Once the
pkDummy
field is being properly populated, there is a generated column that is found within all tables calledpkey
, which is calculated through this formula: concat(pkDummy
,Symbol
), meaning the example from earlier would have the followingpkey
for the row associated with Bitcoin: 2020-01-01 10BTC.You can now use the
pkey
2020-01-01 10BTC in order to join data from a different table that was also collected on January 1st, 2020 at 10am by a different table. Keep in mind that these joins will not be perfect because the data will inevitably differ in terms of when it was specifically collected. Every table also has a field showing the full DateTime of when the data was extracted, so always keep an eye on that field and make sure the data you are joining was collected no longer than a couple of minutes apart.If you are looking to pull the latest/live data from the current hour, take the maximum of the pkDummy field
max(pkDummy)
.- In my experience this works fine, but if the data type ends up giving problems I can convert this to a big integer with no dashes and the order of the numbers would then work (e.g.<PHONE_NUMBER> ><PHONE_NUMBER>).
Important Note: Only do this for tables that are found within the same database! Currently, you can only use the pkey to tie information from tables found within the Octoparse database to other tables within the Octoparse database, and not the ScrapeStorm database. This is because the data that flows into the Octoparse database is always recorded with the UTC timezone, while the data that flows into the ScrapeStorm database is always in the MST Colorado timezone. Because MST has daylight savings and UTC does not, there is no hard-coded adjustment that can be applied here, like subtracting 6 hours.
The only effective way that I found to properly adjust the timezones and to enable a join between the different databases is by using the Alteryx formulas
DateTimeToLocal()
andDateTimeToUTC()
:After making this adjustment to the table you are looking to join, you would need to apply the adjustment to the pkDummy and pkey fields as well, since those are whate gets used for the join and not the raw DateTime field.
In this case we are adjusting the pkey for a table found in the ScrapeStorm database that we want to join to data found in the Octoparse database, because we are going from MST time (associated with ScrapeStorm db) to UTC time (associated with Octoparse db).
4.3 Tabular Data
Within Metabase when you start working with a table, you will usually see a preview of the raw data. From there, you have several options in terms of what you can do apart from exporting the results.
The first thing I want to point out, is that you can click on each field to open a menu with an assortment of options based on the data type. For example, if we click on the Price field, these are the options we are given:
The Date field is a different data types and offers different options. For example we could sort the data by the Date field Descending:
Which would return the first 2,000 rows again but this time sorted showing the largest values first (meaning the latest date):
Next, let’s click on the purple
Filter
button in the top right of the page:Now you should see the following sidebar pop-up:
Let’s do a quick example filtering based on the DateTime field:
- Let’s add a filter to only select data where the DateTime field is from the last 7 days:
Now that we have filtered the data down to the subset we are interested in, we could adjust the look of the table using the
Settings
option in the bottom left:
4.3.1 Creating Visualizations
If you are looking to create a visual representation of the data, you can do so by pressing on the button in the bottom left of the page:
- For a complete description of all visualization options, please see the excellent official Metabase documentation on the topic: https://www.metabase.com/docs/latest/users-guide/05-visualizing-results
4.4 Creating dashboards
Start by clicking on the
+
sign in the top right of the page and selecting the option New Dashboard:When prompted fill out the Name and Description for the table and create the dashboard:
Now you will need to start adding questions to your dashboard:
Add as many questions as you want to your dashboard and create whatever layout you would like.
Once you’re finished adding questions, add a filter shared by the dashboards. To do this, first enter the Edit mode of the dashboard, and select the Filter option:
For example, you could be showing the last 7 days of data for Ethereum only across all questions (tables/charts) being shown on the dashboard:
You can set the dashboard to auto-refresh on a schedule as well:
4.4.1 Example dashboard
Click here for a very simple example of a dashboard.
4.5 Using x-rays to explore a table
In the previous sections we have gone over how you would start to understand the fields collected by a table, but we haven’t talked too much about exploring the actual values found within a table. For example, we might be able to have a good sense of what the field Volatility may mean, but we wouldn’t get a good understanding of the range of values for that variable and it’s distribution.
A really good way to answer these questions, is by taking an x-ray
of the table. When taking an x-ray of a table Metabase does a quick scan of the values found within the table and creates a preview of those values. It will tell you the total number of rows found in the table, the number of new rows in the past 30 days, a distribution of the values for each variable in the table, and a preview of how the values have changed over time:
The database does not have nearly as many dedicated resources as a database at a big company would in order to stay as cost-effective as possible, but if you stay patient usually Metabase is able to create an x-ray of the table, and when you go back to it later on it should take less to load because it is able to retrieve some cached data.


Compares this Ordinal
with the passed Ordinal
for order.
Compares this Ordinal
with the passed Ordinal
for order. If this object is "less than" (ordered before)
the passed object, compare
will return a negative integer. If this class is "greater than" (ordered after)
the passed object, compare
will return a positive integer. Otherwise, this Ordinal
is equal to
the passed object, and compare
will return 0.
a negative integer, 0, or positive integer indicating this Ordinal
is less than, equal to, or greater than the passed Ordinal
.
Indicates whether the passed object is equal to this one.
Indicates whether the passed object is equal to this one.
true if the passed object is equal to this one
Returns a hash code value for this object.
Returns a hash code value for this object.
a hash code for this object
Construct the next Ordinal
for the current suite or other entity, such as a runner.
Construct the next Ordinal
for the current suite or other entity, such as a runner.
Construct two new Ordinal
s, one for a new Suite
about to be executed and
one for the current Suite
or other entity, such as a runner.
Construct two new Ordinal
s, one for a new Suite
about to be executed and
one for the current Suite
or other entity, such as a runner. The Ordinal
for the new Suite
is the first (_1
) element in the tuple:
val (nextOrdinalForNewSuite, nextOrdinalForThisSuite) currentOrdinal.nextNewOldPair
The reason the next Ordinal
for the new Suite
is first is because it will
be ordered before the next Ordinal
for the current Suite
(or other
entity such as a runner). In fact, any event reported within the context of the new Suite
or
its nested Suite
s will be ordered before the next Ordinal
for the current Suite
.
a tuple whose first element is the first Ordinal
for the new Suite
and whose
second element is the next Ordinal
for the current Suite
or other entity, such
as a runner.
A number that identifies a particular run
Returns a List[Int]
representation of this Ordinal
.
Returns a List[Int]
representation of this Ordinal
. A set of Ordinal
s will be ordered
in the same order as the set of List[Int]
s that are returned by invoking this method on each of the Ordinal
s.
The first element of the returned List[Int]
is the runStamp
.
a List[Int]
representation of this Ordinal
.
Returns a string that includes the integers returned by toList
.
Returns a string that includes the integers returned by toList
.
Class used to specify a sequential order for events reported during a test run, so they can be arranged in that order in a report even if the events were fired in some other order during concurrent or distributed execution.
An
Ordinal
is an immutable object holding a run stamp and a sequence of stamps. The run stamp is an integer that identifies a particular run. All events reported during the same run should share the same run stamp. By contrast, each event reported during a particular run should have a different stamp sequence. One use case for the run stamp is that the initial run from ScalaTest's GUI will have run stamp 0. Subsequent reruns will have run stamps 1, 2, 3, etc., so that reports in the GUI can simply be sorted in "ordinal" order. Another use case is a set of servers used to run multiple tests simultaneously in a distributed fashion. The run stamp can be used to identify the run to which an event belongs.The stamp sequence is designed to allow a sequential order of events to be specified during concurrent execution of ScalaTest suites. ScalaTest's model for concurrent execution is that the suites that make up a run may be executed concurrently, but the tests within a single suite will be executed sequentially. In addition to tests, suites may contain nested suites. The default implementation of
execute
in classSuite
will first invokerunNestedSuites
and thenrunTests
. If noDistributor
is passed toexecute
, therunNestedSuites
method will execute the nested suites sequentially via the same thread that invokedrunNestedSuites
. As a result, suites will by default executed in depth first order when executed sequentially. If aDistributor
is passed toexecute
, therunNestedSuites
method will simply put its nested suites into theDistributor
and return. Some other threads or processes must then execute those nested suites. Given the default implementations ofexecute
andrunNestedSuites
described here, theOrdinal
will allow the events from a concurrent run to be sorted in the same depth-first order that the events from a corresponding sequential run would arrive.Each event reported during a run should be given a unique
Ordinal
. AnOrdinal
is required by allEvent
subclasses, instances of which are used to send information to thereport
function passed to aSuite
'sexecute
method. The firstOrdinal
for a run can be produced by passing a run stamp toOrdinal
's lone public constructor:The run stamp can be any integer. The
Ordinal
created in this way can be passed along with the first reported event of the run, such as aRunStarting
event. Thereafter, newOrdinal
s for the same run can be obtained by calling eithernext
ornextNewOldPair
on the previously obtainedOrdinal
. In other words, given anOrdinal
, you can obtain the nextOrdinal
by invoking one of these two "next" methods on theOrdinal
you have in hand. Before executing a newSuite
, thenextNewOldPair
method should be invoked. This will return two newOrdinal
s, one for the newSuite
about to be executed, and one for the currently executing entity (either aSuite
or some sort of test runner). At any other time, the nextOrdinal
can be obtained by simply invokingnext
on the currentOrdinal
.You can convert an
Ordinal
to aList
by invokingtoList
on it. The resultingList
will contain the run stamp as its first element, and the contents of its stamps sequence as the subsequent elements. The stamps sequence will initially be composed of a single element with the value 0. Thus,toList
invoked on thefirstOrdinal
shown above will result in:firstOrdinal.toList // results in: List(99, 0)
Each time
next
is invoked, the rightmost integer returned bytoList
will increment:When
nextNewOldPair
is invoked the result will be a tuple whose first element is the firstOrdinal
for the newSuite
about to be executed (for example, a nestedSuite
of the currently executingSuite
). The second element is the nextOrdinal
for the currently executingSuite
or other entity:The
toList
method of theOrdinal
for the new suite starts with the same sequence of elements as theOrdinal
from which it was created, but has one more element, a 0, appended at the end. Subsequent invocations ofnext
on this series ofOrdinal
s will increment that last element:This behavior allows events fired by
Suite
running concurrently to be reordered in a pre-determined sequence after all the events have been reported. The ordering of twoOrdinal
s can be determined by first comparing the first element of theList
s obtained by invokingtoList
on bothOrdinal
s. These values represent therunStamp
. If one run stamp is a lower number than the other, thatOrdinal
comes first. For example, anOrdinal
with a run stamp of 98 is ordered before anOrdinal
with a run stamp of 99. If the run stamps are equal, the next number in the list is inspected. As with the run stamps, anOrdinal
with a lower number is ordered before anOrdinal
with a higher number. If two corresponding elements are equal, the next pair of elements will be inspected. This will continue no down the length of theList
s until a position is found where the element values are not equal, or the end of one or both of theList
s are reached. If the twoList
s are identical all the way to the end, and bothList
s have the same lengths, then theOrdinal
s are equal. (EqualOrdinal
s will not happen if correctly used by creating a newOrdinal
for each fired event and each newSuite
.). If the twoList
s are identical all the way to the end of one, but the otherList
is longer (has more elements), then the shorter list is ordered before the longer one.As an example, here are some
Ordinal
List
forms in order:


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/VSCode.20unicode.20characters.html ---
Are there any (combinations of) unicode characters you wish to input in a shorter/different way? Put requests in this thread! I'm currently making a PR to vscode-lean
with already some additions, in the list below: (for example the first entry means that if you type \allf
you get ∀ᶠ
)
"allf": "∀ᶠ", "all^f": "∀ᶠ", "allm": "∀ₘ", "all_m": "∀ₘ", "to0": "→₀", "r0": "→₀", "to_0": "→₀", "r_0": "→₀", "finsupp": "→₀", "to1": "→₁", "r1": "→₁", "to_1": "→₁", "r_1": "→₁", "l1": "→₁", "to1s": "→₁ₛ", "r1s": "→₁ₛ", "to_1s": "→₁ₛ", "r_1s": "→₁ₛ", "l1simplefunc": "→₁ₛ", "toa": "→ₐ", "ra": "→ₐ", "to_a": "→ₐ", "r_a": "→ₐ", "alghom": "→ₐ", "tob": "→ᵇ", "rb": "→ᵇ", "to^b": "→ᵇ", "r^b": "→ᵇ", "boundedcontinuous": "→ᵇ", "tol": "→ₗ", "rl": "→ₗ", "to_l": "→ₗ", "r_l": "→ₗ", "linearmap": "→ₗ", "tom": "→ₘ", "rm": "→ₘ", "to_m": "→ₘ", "r_m": "→ₘ", "aeeqfun": "→ₘ", "rp": "→ₚ", "to_p": "→ₚ", "r_p": "→ₚ", "dfinsupp": "→ₚ", "tos": "→ₛ", "rs": "→ₛ", "to_s": "→ₛ", "r_s": "→ₛ", "simplefunc": "→ₛ", "root": "√", "sqrt": "√", "boxmid": "◫", "hcomp": "◫", "Pi0": "Π₀", "P0": "Π₀", "Pi_0": "Π₀", "P_0": "Π₀", "Rge0": "ℝ≥0", "R>=0": "ℝ≥0", "nnreal": "ℝ≥0", "Zsqrt": "ℤ√", "zsqrtd": "ℤ√",
Oh cool! I would quite like something shorter for ⁅
and ⁆
(currently textlquill
and textrquill
). Maybe:
"liel": "⁅", "lier": "⁆",
?
"nhds" : "𝒩"
I also vote for getting back "X":"⨯",
that was accidentally removed by Ed.
If a superscript f now officially means filter (at least if the some localized notation is opened) then I would also like "xf" : "×ᶠ"
which would become notation for filter product.
I'm adding
"liel": "⁅", "bracketl": "⁅", "lier": "⁆", "bracketr": "⁆", "nhds": "𝓝", "nbhds": "𝓝", "X": "×", "vectorproduct": "⨯", "crossproduct": "⨯", "coprod": "⨿", "sigmaobj": "∐", "bigcoprod": "∐", "xf": "×ᶠ",
@Patrick Massot: I fixed the 𝓝
to mean the actual character used in mathlib. For "X"
, I think you mean the same unicode character as for \x
(× multiplication sign
, used all over mathlib) instead of the one you wrote (⨯ vector or cross product
, only used in 1 category theory file)?
Note: for the long names, any prefix (that is unambiguous) will also work. So for example \nhd
should also give 𝓝
.
Can you also add ∃ᶠ
?
added "exf": "∃ᶠ",
Any chance to sync changes to emacs lean-mode?
I'll add these changes to the Emacs lean-mode as well.
I hope 𝓝
is already available as \calN
or is it \scrN
?
It's \MCN
Some other characters are missing but I have them in my ~/.XCompose.
E.g., 𝕜, ⥤
what's the rationale for \MCN
?
I think it should be easy to add the complete unicode blocks for script, double struck, and other "font variant" math symbols
I would prefer that to ad hoc things like \nhds
(although we can have that short cut too if people use it)
math cal N
Hmmm... wouldn't it make sense to use the Latex names for the symbols? That way you could use the Latex documentation to look up symbols you want and they would be compatible with other documentation.
the latex name is especially inconvenient here because it's not just a name, it is \mathcal{N}
and typing braces in vscode shortcut symbols is problematic
I agree with Z, C,N, etc. But, again, it comes down to using existing naming conventions or inventing local ones. It adds a layer of pain when my proofs need to be "translated" at the level of basic syntax. And if the table is designed to be "extensible", then when I want a special glyph (e.g. \leadsto) I can insert it.
Most mathematicians already know the names of glyphs in their area. Having to look up alternate names just makes the learning curve steeper.
It also has the advantage that @Jeremy Avigad natural language version of a theorem has a (math-speak) translation, so if one is doing operational semantics then the \leadsto glyph is naturally translated to "leads to"
the names of most symbols are already based very obviously on the latex names
but many symbols also have shorter names for quicker typing
There are many tables with unicode->latex translation. No need to have one more in lean-mode
/ vscode plugin.
what's the rationale for
\MCN
?
iirc \Mcn
is mathcal and \MCN
is mathscr, or something like that
i just think of them as "curly" and "extra-curly"
I would prefer that to ad hoc things like
\nhds
Personally I much prefer semantic names like \nhds
to random and hard to type strings like \MCN
. But then I also write \land
and \lor
in LaTeX, and would definitely use \newcommand\nhds{\mathcal{N}}
. :shrug:
BTW I also changed the abbreviation hover so that it also works if you hover over multi-character abbreviations like 𝓝
or →₁ₛ
.
in what sense is 𝓝
a multi character abbreviation?
The string 𝓝
is obviously composed of the two characters �
and �
. Or at least that's what javascript (and vscode) believe because they treat strings as lists of UTF-16 code units:
> '𝓝'.length 2
BTW I also changed the abbreviation hover so that it also works if you hover over multi-character abbreviations like
𝓝
or→₁ₛ
.
This is working great!
Any chance to sync changes to emacs lean-mode?
Done: https://github.com/leanprover/lean-mode/pull/22
Floris van Doorn said:
@**Patrick Massot|110031**: I fixed the `𝓝` to mean the actual character used in mathlib. For `"X"`, I think you mean the same unicode character as for `\x` (`× multiplication sign`, used all over mathlib) instead of the one you wrote (`⨯ vector or cross product`, only used in 1 category theory file)?
Crap, I missed that message (I found it today my reviewing recent mentions to make sure I didn't miss too many). The 𝓝
was meant to be the one used in mathlib yes. But the cross definitely wasn't. We already have abbreviations for that one, I really meant ⨯ vector or cross product
. I won't fight to get that one used in mathlib since the difference with × multiplication sign
is hard to see, but it's really handy to be able to use it (and type it easily) for custom files (for instance I used it during talks).
I added
"vectorproduct": "⨯", "crossproduct": "⨯",
for the product you mentioned. It will already do the substitution on a prefix, if unambiguous, so \cro
(and maybe \cr
) will likely work. You can make a PR yourself also assigning it to \X
.
Last updated: Apr 24 2020 at 19:02 UTC


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| Name: MR. ZABIVLLA KHAN | Reg No: 12-1SMHC19 |
|---|---|
| Age / Sex: 25/M | Contact No:9066559066 |
| Marital Status:SINGLE. | Date:21/1/19 |
| Occupation:AC WORK. | Dr. PJFP |
| Address: NATIVE BLORE | DIAGNOSIS- |
RT. HYPOCHONDRIUM PAIN 1 WEEK.
FEELS URINATION MORE.
AFTER TAKING INJECTIONS GETTING HEADACHE.
H/O OF TB 5-6 YEARS BACK. THIN. NEVER GAINS WEIGHT. KEEPS GETTING FREQUNT COUGH.
RX:
BELL 200 – 4-4-4-4
PARAIRIA Q+ SARSAPARILLAQ- 20-20-20 DROPS A/FOOD WATER.
LYCO 30 – PILLS 4-4-4-4.
RUB 15 – 1 TAB NIGHT B/FOOD.


Junior developer in progress!
Start working in non-IT industry, but finally going back to the roots.
Mainly focus on user interface for now, but been interest in database works.


The About window in a Mac application is viewed by selecting the app's name in the top menu bar, then choosing the About item in the menu. The image below displays Safari's About window.
To add credits to the About window, add a file named Credits.rtf to the Xcode project. The text in the RTF file will appear in the About window below the app version and copyright. For example, the following text in Credits.rtf will appear under the version number in the About window:
My Credits
These are the credits for this app. They go in a rich text file named
"Credits" in the Xcode project. See below for an example of a list.
• First item is here
• Second item here
• Third item goes here
• Fourth items goes here
• Fifth item is here
• Six item is the last
Swift Programming for macOS © 2023
Built by Gavin Wiggins


Eijiro dictionary
File:
Anki
Use Ankiweb to save words (you need to be logged in to
Ankiweb
):
Note type:
Deck:
Saved in localStorage
clear
download as TSV


Class SmsMessageModel
Message model
- SmsZilla\SmsMessageModel implements SmsZilla\MessageInterface
Namespace: SmsZilla
Author: Jarosław Wasilewski<EMAIL_ADDRESS>Located at SmsZilla/SmsMessageModel.php
Author: Jarosław Wasilewski<EMAIL_ADDRESS>Located at SmsZilla/SmsMessageModel.php
Methods summary
public
|
|
public
string
|
|
public
|
#
addRecipient( string $phoneNo )
Adds recipient phone number Recipients number should be: \d{9} or \d{11} |
public
array
|
|
public
|
Properties summary
protected
array
|
$recipients
List of phone numbers of recipients |
#
[]
|
protected
string
|
$text
Message content |
#
''
|


I would like to hear what rogue build or rogue like build you are particurly fond of =)
I myself find my own 10monk/30assassin very iconic, but I have never posted it, so that I would try to do =)
What is your favorite rogue?
Cleric 20 / Monk 1 / Rogue 19, take Epic Dodge and dual wield kamas, it rocks.
I like the "Rogue Archer" in the main bioware epic build section.
My two favorites are my "Sneaky Hobbit" build (Rogue 25/Fighter 10/SD 5, dex-based) or Grizz's "Zhentarim Field Agent" (Rogue 25/Fighter 14/SD 1, Str-based halfling wielding a scim as a 2-handed weapon). The dex-based one is a bit better in terms of skills and much better in terms of AC, but can have a tough time against sneak-immune or high-DR enemies. The str-based one can get into trouble against ED/SCV builds, but can dish out some serious damage. He's as good as a str-based fighter against sneak-immunes, and can dish out far more than most fighter builds to anything sneak-susceptible (13d6 sneaks on top of 15 points of str-bonus, and 6 from EWS, and a 12-20 crit range, means he can finish off most sneak-susceptible enemies in 1 round following a successful IKD from stealth).
TM
Oh, if you like Monk/Assassin, you should also try Monk 9/SD 5/Assassin 26. You get HiPS and Epic Dodge that way, and still have an excellent Death Attack DC.
TM
Fighter/CoT/Rogue is most excellent and playable even for beginners. Both Dex and STR versions. Fighter/SD/Rogue as mentioned. I like the Dex based Halfling of Doom, my revised Rogue13/SD1/Assassin26. The Tiny Reaper. _________________ We are sons of Odin, and the fire that we burn inside is the legacy of warrior-kings who reign above in the sky I will lead the charge, my sword into the wind Sons of Odin fights to die and live again
I don't know if I have a favorite. I think Dwarven Rogues are hands-down my favorite style. And I think Dwarven Rogues with Epic Dodge and 500+ Hit Points one of my all time favorites.... but really, any Rogue heavy build is good in my book. _________________ Got Hommlet? World of Greyhawk Action Server (with 1/2 price ales on Mondays!)
Ariel, Ookla, RIDE!
I loved the Grizz's Rogue with Epic Dodge and Self Concealment V... Besides, that build uses a dwarf, something I never saw...


# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Helper functions to optimize ONNX Graphs.
"""
from typing import Tuple, Union
import numpy as np
import onnx
from sparseml.onnx.utils.graph_editor import (
remove_node_and_params_from_graph,
swap_node_output,
update_model_param,
)
from sparseml.onnx.utils.helpers import (
BatchNormParams,
NodeParam,
conv_node_params,
get_batch_norm_params,
get_node_input_nodes,
get_quantize_parent_for_dequantize_node,
)
__all__ = [
"fold_conv_bns",
"quantize_resnet_identity_add_inputs",
]
def _get_folded_conv_params(
conv_params: Tuple[NodeParam, Union[NodeParam, None]],
bn_params: BatchNormParams,
) -> Tuple[NodeParam, Union[NodeParam, None]]:
conv_weight, conv_bias = conv_params
weight_new, bias_new = None, None
if bn_params.var is not None and bn_params.epsilon is not None:
variance_term = 1 / np.sqrt(bn_params.var + bn_params.epsilon)
# Compute new weight if possible
if bn_params.scale is not None:
bn_term = (bn_params.scale * variance_term).reshape(-1, 1, 1, 1)
weight_new = NodeParam(conv_weight.name, conv_weight.val * bn_term)
# Compute new bias if possible
if (
bn_params.scale is not None
and bn_params.bias is not None
and bn_params.mean is not None
):
# if conv bias is not present, default to zeros
conv_bias = conv_bias or NodeParam(None, np.zeros(bn_params.mean.shape))
normalized_bias = (conv_bias.val - bn_params.mean) * variance_term
bias_new = normalized_bias * bn_params.scale + bn_params.bias
# type check
if bias_new is not None and weight_new is not None:
bias_new = NodeParam(conv_bias.name, bias_new.astype(weight_new.val.dtype))
return weight_new, bias_new
def _fold_conv_bn(
model: onnx.ModelProto,
conv_node: onnx.NodeProto,
bn_node: onnx.NodeProto,
) -> bool:
"""
Folds the linear operations in bn_node into conv_node
:param model: The model to fold the node in
:param conv_node: The conv node to fold in to
:param bn_node: The batch norm node to fold
:return: True if the fold succeeded
"""
conv_params = conv_node_params(model, conv_node)
bn_params = get_batch_norm_params(model, bn_node)
folded_weight, folded_bias = _get_folded_conv_params(conv_params, bn_params)
if folded_weight is not None:
# Update conv weight to folded and bias if possible
update_model_param(model, folded_weight.name, folded_weight.val)
if folded_bias is not None:
bias_name = folded_bias.name
if bias_name is None:
bias_name = folded_weight.name.split("weight")[0] + "bias"
conv_node.input.append(bias_name)
update_model_param(model, bias_name, folded_bias.val)
swap_node_output(
conv_node, bn_node.output[0]
) # forward the folded conv outputs
remove_node_and_params_from_graph(model, bn_node) # remove the bn op
return True
return False
[docs]def fold_conv_bns(onnx_file: str) -> onnx.ModelProto:
"""
When a batch norm op is the only child operator of a conv op, this function
will fold the batch norm into the conv and return the processed graph
:param onnx_file: file path to ONNX model to process
:return: A loaded ONNX model with BatchNormalization ops folded into Conv ops
where possible
"""
model = onnx.load(onnx_file)
conv_nodes = [n for n in model.graph.node if n.op_type == "Conv"]
graph_modified = False
for conv_node in conv_nodes:
conv_output = conv_node.output[0]
child_nodes = [n for n in model.graph.node if conv_output in n.input]
# Check if the only child of the conv output is a batch norm op
if len(child_nodes) == 1 and child_nodes[0].op_type == "BatchNormalization":
bn_node = child_nodes[0]
fold_performed = _fold_conv_bn(model, conv_node, bn_node)
graph_modified = fold_performed or graph_modified
return model if graph_modified else None


I am an individual with a love for technology. It all started when I used my first computer at the San Francisco library back when I was 9. Fast forward a couple of years, and I’ve complete the Year Up IT program focusing on quality assurance. I then Interned at LinkedIn as part of the video conferencing engineering team. I was later converted and continued to grow at LinkedIn. I left the company around mid 2015 to enroll in General Assembly followed by Dev Bootcamp. I completed both boot camps armed with an understanding of web technologies and programming fundamentals. The theme of my journey has been growth and pursuit of knowledge within tech. I seek to continue my journey of growth, and hope to meet like minded people along the way.


---
layout: post
title: cakePHP youtube datasource
published: true
meta:
_edit_last: "1"
tags:
- cakephp
- datasource
- youtube
type: post
status: publish
---
I've seen in google analytics that mosts visitors of this blog speak english. I've thought that the italians can understand what i'm writing, so, here we are, i've switched language.
I've just pushed on github a cakePHP
youtube datasource, to retrieve information (all the metatags)
regarding a video. It's still incomplete, I would like to add some others
functionalities, like to retrieve the standard feed for a given category, or to retrieve a video with more than X views. Ecc, anyway, Fork Me.
Here I provide a solution adopted to save in the database the fields
"video_title", "video_thumb" and "video_id" for a given youtube link associated to a model, for example an Article model containing a video, or a Submission Model containing a youtube video for a video contest. This code validates the video URL and, if valid, add the videos metatags to the data model to save, in this example, the Article model.
1)Follow the instructions on the github page and install the datasource
2) Add this rule to your $validate array in the model where you would like to
save the video information
{% highlight php startinline %}
'video' => array(
'rule' => 'validYoutube',
'message' => 'the given videos link is incorrect',
'allowEmpty' => true,
),
{% endhighlight %}
3)Add these functions to the Model, that check if the video is valid and add the metatags to the $data array
{% highlight php startinline %}
public function validYoutube(array $data ){
$url = current($data);
$video_info = $this->getVideo($url);
if ($video_info) {
$this->setVideoValues($video_info);
return true;
}else{
return false;
}
}
public function getVideo($id){
$this->Youtube = ConnectionManager::getDataSource('Youtube');
$video = $this->Youtube->findById($id);
if (!$video) {
return false;
}
$info = $this->Youtube->formatData($video);
return $info;
}
public function setVideoValues($info){
if (empty($info)) {
return false;
}
$this->data['Article']['video'] = $info['id'];
$this->data['Article']['video_thumb'] = $info['default_thumb'];
$this->data['Article']['video_title'] = $info['title'];
}
?>
{% endhighlight %}
Thanks debuggable for this article on datasources in CakePHP


IFA calls for ‘new enhanced’ Sheep Welfare Scheme
by Charles O'DonnellThe Irish Farmers’ Association (IFA) has called for a “new, enhanced” Sheep Welfare Scheme after the current scheme runs its course.
Sean Dennehy, the association’s national sheep chairperson, was speaking yesterday, Monday, November 18, after an announcement from Minister Michael Creed confirmed that some €15 million would be paid out in advance payments under the Sheep Welfare Scheme.
Dennehy welcomed the announcement of the payment – which will benefit around 18,500 sheep farmers – and commented: “The Sheep Welfare Scheme is worth €10/ewe and this payment is an advance of 85%. The remaining 15% payment will be paid in 2020.”
Dennehy pointed out that the scheme has one more year to run, and said the IFA was calling for a “new, enhanced scheme from the minister”.
Dennehy also highlighted the association’s “plan of action” for the sheep sector, which includes targeted payments for the sector from both domestic funding and Common Agricultural Policy (CAP) supports – specifically a payment of €30/ewe.
“IFA is proposing that Minister Creed amends the Sheep Welfare Scheme and provides more options and funding for farmers to increase the payment to €15/ewe for 2020 and also extend and enhance the scheme for future years,” Dennehy added.
‘Significant financial boost’
Speaking yesterday, after making the announcement of advance payments, Minister Creed said: “I am happy to confirm that a total of €15 million is today issuing to some 18,500 farmers participating in the Sheep Welfare Scheme, providing a significant financial boost to the individual farmers and the sheep sector in general.”
He also urged farmers with outstanding queries to respond to the department “immediately” to facilitate payment.
“The fourth year of the scheme will be opening in the new year and my department will be in contact with farmers shortly to advise them of this. At that stage, there will also be an opportunity for new entrants to the sector to join the scheme,” the minister concluded.


an issue in gulp4
如果不调用callback作为参数，gulp就会报错，因为任务并没有结束。 用done()也可以。 I did not understand the principle, because at this period I just need the project to work.om Callback
Callbacks in JavaScript are functions that are passed as arguments to other functions. This is a very important feature of asynchronous programming, and it enables the function that receives the callback to call our code when it finishes a long task, while allowing us to continue the execution of the code.to add active class to a navigation menu based on url
When we’re creating a navigation menu for a website, it’s always good to make it so the visitors or user on the website knows on which page or part of the site he is on. This can be accomplished by adding an “active class” or “current class” to the menu item that links to the page on which the visitor or user is.
In my case, a plain javascript was used. First I added a #nav ID to <nav> element. Then, use this code to add the active class to the li a element.


Our exploratory analysis indicated that our independent variables have linear relationships to income. The strength of the linear relationship varied but we feel it is reasonable to use linear regression. Given that we are analyzing a time series we decided to use lagging predictor variables in our analysis as well as indicator variables for each month of the year. The indicator variables will help account for seasonality in the time series.
We will use three models to predict monthly income at Core Creative. The models to be used are two linear regression models and a neural network. For the first linear regression we will use a single lagging predictor variable and indicator variables for each month of the year. The second linear regression will introduce several additional lagging variables that are selected based on best subsets analysis. The neural network model will use the same variables as the second linear regression model. Below is an overview of the modeling techniques we selected.
The assumptions of linear regression include:
We wanted to try one more modeling technique on the Core Creative data that was not based on linear regression. The technique we chose is the popular machine learning practice of artificial neural networks. The specific type of neural network we use is called a feed-forward neural network. This neural network passes data from inputs, through layers of nodes, to outputs in one direction. Each node receives the weighted sum of the input nodes feeding into it. If the value of this node is above a certain threshold, it “fires” by sending its value to the next node.
The neural network is improved with the use of training data. Before being trained, the neural network’s weights and thresholds are random values. As the training data passes through the network, these values are adjusted. After training and testing the model through an iterative process, the neural network can be used to predict outcomes using new data (Hardesty, 2017) .
Our implementation of a neural network will rely on the ‘neuralnet’ package in R. We will use the same dataset as the linear regression models and compare the results of the neural network to the linear models.


SUBROUTINE SGEEVX( BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, WR, WI, $ VL, LDVL, VR, LDVR, ILO, IHI, SCALE, ABNRM, $ RCONDE, RCONDV, WORK, LWORK, IWORK, INFO ) * * -- LAPACK driver routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. CHARACTER BALANC, JOBVL, JOBVR, SENSE INTEGER IHI, ILO, INFO, LDA, LDVL, LDVR, LWORK, N REAL ABNRM * .. * .. Array Arguments .. INTEGER IWORK( * ) REAL A( LDA, * ), RCONDE( * ), RCONDV( * ), $ SCALE( * ), VL( LDVL, * ), VR( LDVR, * ), $ WI( * ), WORK( * ), WR( * ) * .. * * Purpose * ======= * * SGEEVX computes for an N-by-N real nonsymmetric matrix A, the * eigenvalues and, optionally, the left and/or right eigenvectors. * * Optionally also, it computes a balancing transformation to improve * the conditioning of the eigenvalues and eigenvectors (ILO, IHI, * SCALE, and ABNRM), reciprocal condition numbers for the eigenvalues * (RCONDE), and reciprocal condition numbers for the right * eigenvectors (RCONDV). * * The right eigenvector v(j) of A satisfies * A * v(j) = lambda(j) * v(j) * where lambda(j) is its eigenvalue. * The left eigenvector u(j) of A satisfies * u(j)**H * A = lambda(j) * u(j)**H * where u(j)**H denotes the conjugate transpose of u(j). * * The computed eigenvectors are normalized to have Euclidean norm * equal to 1 and largest component real. * * Balancing a matrix means permuting the rows and columns to make it * more nearly upper triangular, and applying a diagonal similarity * transformation D * A * D**(-1), where D is a diagonal matrix, to * make its rows and columns closer in norm and the condition numbers * of its eigenvalues and eigenvectors smaller. The computed * reciprocal condition numbers correspond to the balanced matrix. * Permuting rows and columns will not change the condition numbers * (in exact arithmetic) but diagonal scaling will. For further * explanation of balancing, see section 4.10.2 of the LAPACK * Users' Guide. * * Arguments * ========= * * BALANC (input) CHARACTER*1 * Indicates how the input matrix should be diagonally scaled * and/or permuted to improve the conditioning of its * eigenvalues. * = 'N': Do not diagonally scale or permute; * = 'P': Perform permutations to make the matrix more nearly * upper triangular. Do not diagonally scale; * = 'S': Diagonally scale the matrix, i.e. replace A by * D*A*D**(-1), where D is a diagonal matrix chosen * to make the rows and columns of A more equal in * norm. Do not permute; * = 'B': Both diagonally scale and permute A. * * Computed reciprocal condition numbers will be for the matrix * after balancing and/or permuting. Permuting does not change * condition numbers (in exact arithmetic), but balancing does. * * JOBVL (input) CHARACTER*1 * = 'N': left eigenvectors of A are not computed; * = 'V': left eigenvectors of A are computed. * If SENSE = 'E' or 'B', JOBVL must = 'V'. * * JOBVR (input) CHARACTER*1 * = 'N': right eigenvectors of A are not computed; * = 'V': right eigenvectors of A are computed. * If SENSE = 'E' or 'B', JOBVR must = 'V'. * * SENSE (input) CHARACTER*1 * Determines which reciprocal condition numbers are computed. * = 'N': None are computed; * = 'E': Computed for eigenvalues only; * = 'V': Computed for right eigenvectors only; * = 'B': Computed for eigenvalues and right eigenvectors. * * If SENSE = 'E' or 'B', both left and right eigenvectors * must also be computed (JOBVL = 'V' and JOBVR = 'V'). * * N (input) INTEGER * The order of the matrix A. N >= 0. * * A (input/output) REAL array, dimension (LDA,N) * On entry, the N-by-N matrix A. * On exit, A has been overwritten. If JOBVL = 'V' or * JOBVR = 'V', A contains the real Schur form of the balanced * version of the input matrix A. * * LDA (input) INTEGER * The leading dimension of the array A. LDA >= max(1,N). * * WR (output) REAL array, dimension (N) * WI (output) REAL array, dimension (N) * WR and WI contain the real and imaginary parts, * respectively, of the computed eigenvalues. Complex * conjugate pairs of eigenvalues will appear consecutively * with the eigenvalue having the positive imaginary part * first. * * VL (output) REAL array, dimension (LDVL,N) * If JOBVL = 'V', the left eigenvectors u(j) are stored one * after another in the columns of VL, in the same order * as their eigenvalues. * If JOBVL = 'N', VL is not referenced. * If the j-th eigenvalue is real, then u(j) = VL(:,j), * the j-th column of VL. * If the j-th and (j+1)-st eigenvalues form a complex * conjugate pair, then u(j) = VL(:,j) + i*VL(:,j+1) and * u(j+1) = VL(:,j) - i*VL(:,j+1). * * LDVL (input) INTEGER * The leading dimension of the array VL. LDVL >= 1; if * JOBVL = 'V', LDVL >= N. * * VR (output) REAL array, dimension (LDVR,N) * If JOBVR = 'V', the right eigenvectors v(j) are stored one * after another in the columns of VR, in the same order * as their eigenvalues. * If JOBVR = 'N', VR is not referenced. * If the j-th eigenvalue is real, then v(j) = VR(:,j), * the j-th column of VR. * If the j-th and (j+1)-st eigenvalues form a complex * conjugate pair, then v(j) = VR(:,j) + i*VR(:,j+1) and * v(j+1) = VR(:,j) - i*VR(:,j+1). * * LDVR (input) INTEGER * The leading dimension of the array VR. LDVR >= 1, and if * JOBVR = 'V', LDVR >= N. * * ILO (output) INTEGER * IHI (output) INTEGER * ILO and IHI are integer values determined when A was * balanced. The balanced A(i,j) = 0 if I > J and * J = 1,...,ILO-1 or I = IHI+1,...,N. * * SCALE (output) REAL array, dimension (N) * Details of the permutations and scaling factors applied * when balancing A. If P(j) is the index of the row and column * interchanged with row and column j, and D(j) is the scaling * factor applied to row and column j, then * SCALE(J) = P(J), for J = 1,...,ILO-1 * = D(J), for J = ILO,...,IHI * = P(J) for J = IHI+1,...,N. * The order in which the interchanges are made is N to IHI+1, * then 1 to ILO-1. * * ABNRM (output) REAL * The one-norm of the balanced matrix (the maximum * of the sum of absolute values of elements of any column). * * RCONDE (output) REAL array, dimension (N) * RCONDE(j) is the reciprocal condition number of the j-th * eigenvalue. * * RCONDV (output) REAL array, dimension (N) * RCONDV(j) is the reciprocal condition number of the j-th * right eigenvector. * * WORK (workspace/output) REAL array, dimension (MAX(1,LWORK)) * On exit, if INFO = 0, WORK(1) returns the optimal LWORK. * * LWORK (input) INTEGER * The dimension of the array WORK. If SENSE = 'N' or 'E', * LWORK >= max(1,2*N), and if JOBVL = 'V' or JOBVR = 'V', * LWORK >= 3*N. If SENSE = 'V' or 'B', LWORK >= N*(N+6). * For good performance, LWORK must generally be larger. * * If LWORK = -1, then a workspace query is assumed; the routine * only calculates the optimal size of the WORK array, returns * this value as the first entry of the WORK array, and no error * message related to LWORK is issued by XERBLA. * * IWORK (workspace) INTEGER array, dimension (2*N-2) * If SENSE = 'N' or 'E', not referenced. * * INFO (output) INTEGER * = 0: successful exit * < 0: if INFO = -i, the i-th argument had an illegal value. * > 0: if INFO = i, the QR algorithm failed to compute all the * eigenvalues, and no eigenvectors or condition numbers * have been computed; elements 1:ILO-1 and i+1:N of WR * and WI contain eigenvalues which have converged. * * ===================================================================== * * .. Parameters .. REAL ZERO, ONE PARAMETER ( ZERO = 0.0E0, ONE = 1.0E0 ) * .. * .. Local Scalars .. LOGICAL LQUERY, SCALEA, WANTVL, WANTVR, WNTSNB, WNTSNE, $ WNTSNN, WNTSNV CHARACTER JOB, SIDE INTEGER HSWORK, I, ICOND, IERR, ITAU, IWRK, K, MAXWRK, $ MINWRK, NOUT REAL ANRM, BIGNUM, CS, CSCALE, EPS, R, SCL, SMLNUM, $ SN * .. * .. Local Arrays .. LOGICAL SELECT( 1 ) REAL DUM( 1 ) * .. * .. External Subroutines .. EXTERNAL SGEBAK, SGEBAL, SGEHRD, SHSEQR, SLABAD, SLACPY, $ SLARTG, SLASCL, SORGHR, SROT, SSCAL, STREVC, $ STRSNA, XERBLA * .. * .. External Functions .. LOGICAL LSAME INTEGER ILAENV, ISAMAX REAL SLAMCH, SLANGE, SLAPY2, SNRM2 EXTERNAL LSAME, ILAENV, ISAMAX, SLAMCH, SLANGE, SLAPY2, $ SNRM2 * .. * .. Intrinsic Functions .. INTRINSIC MAX, SQRT * .. * .. Executable Statements .. * * Test the input arguments * INFO = 0 LQUERY = ( LWORK.EQ.-1 ) WANTVL = LSAME( JOBVL, 'V' ) WANTVR = LSAME( JOBVR, 'V' ) WNTSNN = LSAME( SENSE, 'N' ) WNTSNE = LSAME( SENSE, 'E' ) WNTSNV = LSAME( SENSE, 'V' ) WNTSNB = LSAME( SENSE, 'B' ) IF( .NOT.( LSAME( BALANC, 'N' ) .OR. LSAME( BALANC, 'S' ) .OR. $ LSAME( BALANC, 'P' ) .OR. LSAME( BALANC, 'B' ) ) ) THEN INFO = -1 ELSE IF( ( .NOT.WANTVL ) .AND. ( .NOT.LSAME( JOBVL, 'N' ) ) ) THEN INFO = -2 ELSE IF( ( .NOT.WANTVR ) .AND. ( .NOT.LSAME( JOBVR, 'N' ) ) ) THEN INFO = -3 ELSE IF( .NOT.( WNTSNN .OR. WNTSNE .OR. WNTSNB .OR. WNTSNV ) .OR. $ ( ( WNTSNE .OR. WNTSNB ) .AND. .NOT.( WANTVL .AND. $ WANTVR ) ) ) THEN INFO = -4 ELSE IF( N.LT.0 ) THEN INFO = -5 ELSE IF( LDA.LT.MAX( 1, N ) ) THEN INFO = -7 ELSE IF( LDVL.LT.1 .OR. ( WANTVL .AND. LDVL.LT.N ) ) THEN INFO = -11 ELSE IF( LDVR.LT.1 .OR. ( WANTVR .AND. LDVR.LT.N ) ) THEN INFO = -13 END IF * * Compute workspace * (Note: Comments in the code beginning "Workspace:" describe the * minimal amount of workspace needed at that point in the code, * as well as the preferred amount for good performance. * NB refers to the optimal block size for the immediately * following subroutine, as returned by ILAENV. * HSWORK refers to the workspace preferred by SHSEQR, as * calculated below. HSWORK is computed assuming ILO=1 and IHI=N, * the worst case.) * IF( INFO.EQ.0 ) THEN IF( N.EQ.0 ) THEN MINWRK = 1 MAXWRK = 1 ELSE MAXWRK = N + N*ILAENV( 1, 'SGEHRD', ' ', N, 1, N, 0 ) * IF( WANTVL ) THEN CALL SHSEQR( 'S', 'V', N, 1, N, A, LDA, WR, WI, VL, LDVL, $ WORK, -1, INFO ) ELSE IF( WANTVR ) THEN CALL SHSEQR( 'S', 'V', N, 1, N, A, LDA, WR, WI, VR, LDVR, $ WORK, -1, INFO ) ELSE IF( WNTSNN ) THEN CALL SHSEQR( 'E', 'N', N, 1, N, A, LDA, WR, WI, VR, $ LDVR, WORK, -1, INFO ) ELSE CALL SHSEQR( 'S', 'N', N, 1, N, A, LDA, WR, WI, VR, $ LDVR, WORK, -1, INFO ) END IF END IF HSWORK = WORK( 1 ) * IF( ( .NOT.WANTVL ) .AND. ( .NOT.WANTVR ) ) THEN MINWRK = 2*N IF( .NOT.WNTSNN ) $ MINWRK = MAX( MINWRK, N*N+6*N ) MAXWRK = MAX( MAXWRK, HSWORK ) IF( .NOT.WNTSNN ) $ MAXWRK = MAX( MAXWRK, N*N + 6*N ) ELSE MINWRK = 3*N IF( ( .NOT.WNTSNN ) .AND. ( .NOT.WNTSNE ) ) $ MINWRK = MAX( MINWRK, N*N + 6*N ) MAXWRK = MAX( MAXWRK, HSWORK ) MAXWRK = MAX( MAXWRK, N + ( N - 1 )*ILAENV( 1, 'SORGHR', $ ' ', N, 1, N, -1 ) ) IF( ( .NOT.WNTSNN ) .AND. ( .NOT.WNTSNE ) ) $ MAXWRK = MAX( MAXWRK, N*N + 6*N ) MAXWRK = MAX( MAXWRK, 3*N ) END IF MAXWRK = MAX( MAXWRK, MINWRK ) END IF WORK( 1 ) = MAXWRK * IF( LWORK.LT.MINWRK .AND. .NOT.LQUERY ) THEN INFO = -21 END IF END IF * IF( INFO.NE.0 ) THEN CALL XERBLA( 'SGEEVX', -INFO ) RETURN ELSE IF( LQUERY ) THEN RETURN END IF * * Quick return if possible * IF( N.EQ.0 ) $ RETURN * * Get machine constants * EPS = SLAMCH( 'P' ) SMLNUM = SLAMCH( 'S' ) BIGNUM = ONE / SMLNUM CALL SLABAD( SMLNUM, BIGNUM ) SMLNUM = SQRT( SMLNUM ) / EPS BIGNUM = ONE / SMLNUM * * Scale A if max element outside range [SMLNUM,BIGNUM] * ICOND = 0 ANRM = SLANGE( 'M', N, N, A, LDA, DUM ) SCALEA = .FALSE. IF( ANRM.GT.ZERO .AND. ANRM.LT.SMLNUM ) THEN SCALEA = .TRUE. CSCALE = SMLNUM ELSE IF( ANRM.GT.BIGNUM ) THEN SCALEA = .TRUE. CSCALE = BIGNUM END IF IF( SCALEA ) $ CALL SLASCL( 'G', 0, 0, ANRM, CSCALE, N, N, A, LDA, IERR ) * * Balance the matrix and compute ABNRM * CALL SGEBAL( BALANC, N, A, LDA, ILO, IHI, SCALE, IERR ) ABNRM = SLANGE( '1', N, N, A, LDA, DUM ) IF( SCALEA ) THEN DUM( 1 ) = ABNRM CALL SLASCL( 'G', 0, 0, CSCALE, ANRM, 1, 1, DUM, 1, IERR ) ABNRM = DUM( 1 ) END IF * * Reduce to upper Hessenberg form * (Workspace: need 2*N, prefer N+N*NB) * ITAU = 1 IWRK = ITAU + N CALL SGEHRD( N, ILO, IHI, A, LDA, WORK( ITAU ), WORK( IWRK ), $ LWORK-IWRK+1, IERR ) * IF( WANTVL ) THEN * * Want left eigenvectors * Copy Householder vectors to VL * SIDE = 'L' CALL SLACPY( 'L', N, N, A, LDA, VL, LDVL ) * * Generate orthogonal matrix in VL * (Workspace: need 2*N-1, prefer N+(N-1)*NB) * CALL SORGHR( N, ILO, IHI, VL, LDVL, WORK( ITAU ), WORK( IWRK ), $ LWORK-IWRK+1, IERR ) * * Perform QR iteration, accumulating Schur vectors in VL * (Workspace: need 1, prefer HSWORK (see comments) ) * IWRK = ITAU CALL SHSEQR( 'S', 'V', N, ILO, IHI, A, LDA, WR, WI, VL, LDVL, $ WORK( IWRK ), LWORK-IWRK+1, INFO ) * IF( WANTVR ) THEN * * Want left and right eigenvectors * Copy Schur vectors to VR * SIDE = 'B' CALL SLACPY( 'F', N, N, VL, LDVL, VR, LDVR ) END IF * ELSE IF( WANTVR ) THEN * * Want right eigenvectors * Copy Householder vectors to VR * SIDE = 'R' CALL SLACPY( 'L', N, N, A, LDA, VR, LDVR ) * * Generate orthogonal matrix in VR * (Workspace: need 2*N-1, prefer N+(N-1)*NB) * CALL SORGHR( N, ILO, IHI, VR, LDVR, WORK( ITAU ), WORK( IWRK ), $ LWORK-IWRK+1, IERR ) * * Perform QR iteration, accumulating Schur vectors in VR * (Workspace: need 1, prefer HSWORK (see comments) ) * IWRK = ITAU CALL SHSEQR( 'S', 'V', N, ILO, IHI, A, LDA, WR, WI, VR, LDVR, $ WORK( IWRK ), LWORK-IWRK+1, INFO ) * ELSE * * Compute eigenvalues only * If condition numbers desired, compute Schur form * IF( WNTSNN ) THEN JOB = 'E' ELSE JOB = 'S' END IF * * (Workspace: need 1, prefer HSWORK (see comments) ) * IWRK = ITAU CALL SHSEQR( JOB, 'N', N, ILO, IHI, A, LDA, WR, WI, VR, LDVR, $ WORK( IWRK ), LWORK-IWRK+1, INFO ) END IF * * If INFO > 0 from SHSEQR, then quit * IF( INFO.GT.0 ) $ GO TO 50 * IF( WANTVL .OR. WANTVR ) THEN * * Compute left and/or right eigenvectors * (Workspace: need 3*N) * CALL STREVC( SIDE, 'B', SELECT, N, A, LDA, VL, LDVL, VR, LDVR, $ N, NOUT, WORK( IWRK ), IERR ) END IF * * Compute condition numbers if desired * (Workspace: need N*N+6*N unless SENSE = 'E') * IF( .NOT.WNTSNN ) THEN CALL STRSNA( SENSE, 'A', SELECT, N, A, LDA, VL, LDVL, VR, LDVR, $ RCONDE, RCONDV, N, NOUT, WORK( IWRK ), N, IWORK, $ ICOND ) END IF * IF( WANTVL ) THEN * * Undo balancing of left eigenvectors * CALL SGEBAK( BALANC, 'L', N, ILO, IHI, SCALE, N, VL, LDVL, $ IERR ) * * Normalize left eigenvectors and make largest component real * DO 20 I = 1, N IF( WI( I ).EQ.ZERO ) THEN SCL = ONE / SNRM2( N, VL( 1, I ), 1 ) CALL SSCAL( N, SCL, VL( 1, I ), 1 ) ELSE IF( WI( I ).GT.ZERO ) THEN SCL = ONE / SLAPY2( SNRM2( N, VL( 1, I ), 1 ), $ SNRM2( N, VL( 1, I+1 ), 1 ) ) CALL SSCAL( N, SCL, VL( 1, I ), 1 ) CALL SSCAL( N, SCL, VL( 1, I+1 ), 1 ) DO 10 K = 1, N WORK( K ) = VL( K, I )**2 + VL( K, I+1 )**2 10 CONTINUE K = ISAMAX( N, WORK, 1 ) CALL SLARTG( VL( K, I ), VL( K, I+1 ), CS, SN, R ) CALL SROT( N, VL( 1, I ), 1, VL( 1, I+1 ), 1, CS, SN ) VL( K, I+1 ) = ZERO END IF 20 CONTINUE END IF * IF( WANTVR ) THEN * * Undo balancing of right eigenvectors * CALL SGEBAK( BALANC, 'R', N, ILO, IHI, SCALE, N, VR, LDVR, $ IERR ) * * Normalize right eigenvectors and make largest component real * DO 40 I = 1, N IF( WI( I ).EQ.ZERO ) THEN SCL = ONE / SNRM2( N, VR( 1, I ), 1 ) CALL SSCAL( N, SCL, VR( 1, I ), 1 ) ELSE IF( WI( I ).GT.ZERO ) THEN SCL = ONE / SLAPY2( SNRM2( N, VR( 1, I ), 1 ), $ SNRM2( N, VR( 1, I+1 ), 1 ) ) CALL SSCAL( N, SCL, VR( 1, I ), 1 ) CALL SSCAL( N, SCL, VR( 1, I+1 ), 1 ) DO 30 K = 1, N WORK( K ) = VR( K, I )**2 + VR( K, I+1 )**2 30 CONTINUE K = ISAMAX( N, WORK, 1 ) CALL SLARTG( VR( K, I ), VR( K, I+1 ), CS, SN, R ) CALL SROT( N, VR( 1, I ), 1, VR( 1, I+1 ), 1, CS, SN ) VR( K, I+1 ) = ZERO END IF 40 CONTINUE END IF * * Undo scaling if necessary * 50 CONTINUE IF( SCALEA ) THEN CALL SLASCL( 'G', 0, 0, CSCALE, ANRM, N-INFO, 1, WR( INFO+1 ), $ MAX( N-INFO, 1 ), IERR ) CALL SLASCL( 'G', 0, 0, CSCALE, ANRM, N-INFO, 1, WI( INFO+1 ), $ MAX( N-INFO, 1 ), IERR ) IF( INFO.EQ.0 ) THEN IF( ( WNTSNV .OR. WNTSNB ) .AND. ICOND.EQ.0 ) $ CALL SLASCL( 'G', 0, 0, CSCALE, ANRM, N, 1, RCONDV, N, $ IERR ) ELSE CALL SLASCL( 'G', 0, 0, CSCALE, ANRM, ILO-1, 1, WR, N, $ IERR ) CALL SLASCL( 'G', 0, 0, CSCALE, ANRM, ILO-1, 1, WI, N, $ IERR ) END IF END IF * WORK( 1 ) = MAXWRK RETURN * * End of SGEEVX * END


Vital Signs
Patient
First Name:
Lillian
Last Name:
Wald
Date Of Birth:
1940-05-01
Assigned Sex:
female
Created At:
2019-03-06 00:10:19
Created By:
dragonrun1
Id:
2Y9ovLbO93RUekOOu75TV5
Updated At:
** Unknown **
Systolic:
130
mm Hg
Created At:
2019-05-28 22:41:38
Created By:
dragonrun1
Location:
Right Arm
Method Used:
** Unknown **
Id:
1wxoOmhY9bAHyF4cNyHn4a
Diastolic:
79
mm Hg
Created At:
2019-05-27 22:22:20
Created By:
dragonrun1
Location:
Right Arm
Method Used:
** Unknown **
Id:
1PjSK2eFRatbEODO9UuXfr
Pulse:
60
BPM
Created At:
2019-06-02 14:00:32
Created By:
dragonrun1
Location:
Right Arm
Method Used:
** Unknown **
Id:
1NAYqyc558uGAnwc_ZECab
...
Respiration:
12
BPM
Created At:
2019-06-02 14:01:29
Created By:
dragonrun1
Location:
** Unknown **
Method Used:
** Unknown **
Id:
2uBWQUWVxe3a5f_ur5r#FI
Oxygen Saturation:
98
%
Created At:
2019-05-27 22:23:45
Created By:
dragonrun1
Location:
Right Arm
Method Used:
** Unknown **
Id:
2d#Wfvst19iHefKo8MWdry
Temperature:
37.0
°C
Created At:
2019-06-02 14:02:41
Created By:
dragonrun1
Location:
** Unknown **
Method Used:
oral
Id:
1NuJd_DtN3zHEfyANyRpoK
Pain:
2
Created At:
2019-06-02 13:58:47
Created By:
dragonrun1
Location:
Right Arm
Method Used:
** Unknown **
Id:
3SUrKT#L13RF#j1zJUjAYp


Results
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brainHealthDx
Are you concerned about your brain health or want information about it? As we get older, science shows that brain health can suffer from a brain disease called dementia. Our simple data-driven and scientifically-based test will help you understand your brain health.


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{% extends "base-raid.html" %} {% set page_type = "raid-spec" %} {% block content %}
Top talents, essences, azerite, corruption, and gear based on data from the top {{n_parses}} {{difficulty}} {{encounter_pretty}} logs (by {{metric}}) from the past 4 weeks.


Trips
{{ statistic.trips }}
Finished trips
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Users
{{ statistic.users }}
Drivers
{{ statistic.drivers }}
| Driver | From | To | Departure Time |
|---|---|---|---|
| {{ trip.driverName }} | {{ trip.from }} | {{ trip.to }} | {{ trip.departureDate }} |
| Name | Upcoming Trips | Total trips |
|---|---|---|
| {{ driver.name }} | {{ driver.numberOfUpcomingTrips }} | {{ driver.numberOfTotalTrips }} |


| Interface | Description |
|---|---|
| DeviceListFragment.DeviceActionListener |
An interface-callback for the activity to listen to fragment interaction
events.
|
| WiFiDeviceListAdapter.ItemClickListener |
DeviceListFragment implements this interface |
| Class | Description |
|---|---|
| ApplicationTest | |
| BuildConfig | |
| DeviceDetailFragment |
A fragment that manages a particular peer and allows interaction with device
i.e. setting up network connection and transferring data.
|
| DeviceListFragment |
A ListFragment that displays available peers on discovery and requests the
parent activity to handle user interaction events.
|
| FileTransferService |
A service that process each file transfer request i.e Intent by opening a
socket connection with the WiFi Direct Group Owner and writing the file
Copyright 2011 Google Inc.
|
| R | |
| R.anim | |
| R.attr | |
| R.bool | |
| R.color | |
| R.dimen | |
| R.drawable | |
| R.id | |
| R.integer | |
| R.layout | |
| R.menu | |
| R.string | |
| R.style | |
| R.styleable | |
| WiFiDetailClientListAdapter |
ListAdapter of
P2PDevice . |
| WiFiDetailClientListAdapter.ViewHolder |
The ViewHolder of this Adapter, useful to store e recycle element for performance reasons.
|
| WiFiDeviceListAdapter |
ListAdapter of
P2PDevice . |
| WiFiDeviceListAdapter.ViewHolder |
The ViewHolder of this Adapter, useful to store e recycle element for performance reasons.
|
| WiFiDirectActivity |
An activity that uses WiFi Direct APIs to discover and connect with available
devices.
|
| WiFiDirectBroadcastReceiver |
A BroadcastReceiver that notifies of important wifi p2p events.
|


univers ↝
fonts in the wild ↝
currently i am taking on freelance product design work. if you’d like to discuss working together, see my full portfolio of work or collaborate, feel free to schedule time to talk or send me an email at meghanxmartin@gmail.com.


This package contains a program that compiles a show file. It reads it, generates a binary show file, and optionally transforms all image assets to a mosaic.
Mosaic making is done using a fairly brute-force "first fit" algorithm that isn't completely optimal, but seems to work quite well in practice. When run, this program produces a modified set of assets to be used with the show file. The show file itself doesn't need to be modified, because a "map" file is produced that maps the filename of the original image to a set of coordinates within a matrix file. Just package up the map file and the matrixes, and leave out the original images in the disc image.
This is a build-time tool that runs with the JDK. It requires parts of the GRIN library to run, so you should probably just build the whole thing.
In your application, you need to tell GRIN where the image map file
is. For debugging purposes, It's sometimes handy to set an xlet up so
that it will work with either the discrete images or the mosaic, to
speed build times. In the HD cookbook menu, I did this, right after
setting AssetFinder
's search path:
if (AssetFinder.tryURL("images.map") != null) { if (Debug.LEVEL > 0) { Debug.println("Found images.map, using mosaic."); } AssetFinder.setImageMap("images.map"); } else if (Debug.LEVEL > 0) { Debug.println("No images.map, not using mosaic."); }
As of this writing, the mosaic construction algorithm isn't fully optimized, and the mosaic image can only be in PNG. Some players decode JPEG faster than PNG, but JPEG doesn't support alpha and you have to worry about setting the quality of JPEG output if you go that route. This tool presently doesn't have a way of grouping related images together, which would be important for managing image loading and unloading if you can't just keep everything in memory.


I decided to pick up the salvia the day after I discovered a local shop that carried it. I purchased 1 gram of 10x extract for 35$ which came with a page of back round information and instruction on salvia which I found respectful of the suppliers rather than selling it as a “pot alternative”. I eyed the bag of dark crushed leaf, suspicious of its potency or power. Me and my companion who I will refer to as G drove down to the waterfront and walked out onto a small peninsula and sat next to a welcoming tree on a large rock. The peninsula looked across the iced over, snow covered lake as the sun began to set. It was a beautiful, mostly private (with the exception of the occasional dog walker), calm and safe environment.
 I took the first hit holding the lighter above the herb as to burn it it’s hottest and held a lungful of smoke for about 15 seconds. Then G proceeded to take a hit before passing the pipe back to me where I mimicked once more what I just explained. I slid the pipe into my pocket and said “Dude, wow.”
G didn’t respond. Which seemed appropriate and I let the silence engulf me as I just sat. My heart had been pounding prior to my hit but I now felt comforted. Things felt slower and comforting. I didn’t realize what exactly was happening until about 3 minutes later when I began to babble to G about this time bend concept. I explained to him that I was in a bend in time. I could visualize it in my head as a half circle being morphed and bended or melted. I felt as though after I took the hit time was slowed down or just bent. It sounds like useless babble even to me now, yet, during the experience I could grasp this concept very well and it seemed obvious to me that I was in a bend in time.
I tried to close my eyes and I began to visualize my body splitting into two separate pieces yet; I was more fascinated by the natural patterns and designs around me. I did not feel out of control at anytime like I have experienced many times with mushrooms. I felt very calm and comforted by something intangible. G was not as satisfied with his hit and suggested that I pack another bowl.
I packed a bowl in the same way I stated earlier and aloud G to take the first hit this time. I was more aware of the affects as they came over me this time. Many people have described heaviness or pull downward with this drug; yet, I experienced an instant lightness and clarity. It did not seem appropriate to be chatty while in the experience and I felt as though I connected most with it while being silent and listing and the few people who walked by did distract me from my concentration. I began to notice a pattern in old dried moss or algae on the rocks near my feat. I saw thousands of tiny crystals all within many flower shaped blotches of this dead fungi. I tried to explain this to G by mumbling “look at that rock” I rambled about not judging the rock and excepting it, and that you could see it’s natural beauty once you just excepted what it had to offer you.
This also was not something I successfully expressed in words. All words seemed clumsy to me and I could not express the thoughts I was having logically through speech yet they were very clear to me. It’s hard to gauge the actual extent of the experience and how long it lasted because the comedown seemed very gradual and I believe that the herb is capable of much more than this and I may have only reached threshold effects. I am very interested in exploring deeper levels of a salvia trip and seeing where the plant plans on taking me. All together I would say this drug has been pleasant and calm and I did not experience anything unpleasant.
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.


Mum, 29, died during butt lift she saw advertised on Instagram
A trainee beautician who was ‘paranoid about her body’ died after travelling to Turkey for a butt lift operation, an inquest heard.
Leah Cambridge, 29, paid over £6,000 for the procedure, which reshapes the buttocks by transferring fat from areas including the stomach and back.
The controversial operation is the deadliest type of surgery, but Wakefield Coroners Court was told the mum-of-three, from Leeds, had seen it being promoted on Instagram and was unaware of the risks.
Her fiance, Scott Franks, said that the surgeon who performed the butt lift told him the procedure was a ‘guessing game’ and that on this occasion he ‘injected the fat too far into the muscle and it entered her veins.’
He travelled to Turkey as soon as he received the news and said Dr Uckan’s ‘exact words’ were: ‘It’s a matter of life and death when you are doing it.’
Mr Franks claimed the surgeon appeared ‘nervous and scared’ when they met and told him: ‘It’s a guessing game, you can’t see where you are going into.’
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The surgeon said in a statement that he had performed the procedure ‘in the region of a thousand times’, with no complications like those suffered by Miss Cambridge.
Dr Lisa Barker, a consultant histopathologist for Leeds Teaching Hospitals, said the young mum died after fat entered her circulatory system and eventually blocked the pulmonary artery to the lungs.
Mr Franks said his partner had saved thousands of pounds for the operation after he refused to pay for it and admitted he was ‘unhappy’ when she put down a deposit through Elite Aftercare, a company which acts as a go-between linking clients and surgeons.
Choosing to stay at home and look after their children while his partner underwent the procedure, he said he became panicked after searching Google for information and discovering an article on fatalities resulting from the surgery.
The court heard how Mr Franks’ grief was compounded when his solicitors received a letter from Elite falsely claiming Miss Cambridge had died after taking ‘illicit drugs’.

‘You never expect something like this to happen to yourself.’
Miss Cambridge flew to Turkey with her mum Theresa Hall on August 26 last year to have the operation.
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Miss Hall said that after her daughter was taken down to theatre, she fell asleep, and was woken by a member of staff who said there had been ‘a complication’ during the operation and that the patient had died.
The grieving mum broke down in tears giving evidence at the hearing.
Got a story for Metro.co.uk?
Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


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Salting process begins ahead of messy commute as major snowfall hits GTA
by Sean Davidson, Multi-Platform Writer, CTV News TorontoSalting trucks were out on Toronto roads in full force ahead of a forecasted messy commute caused by the city’s first major storm of the season.
Around 11:30 a.m., city officials said that salt trucks were heading to Toronto’s expressways and that “spot salting” had started on main roads, hills and bridges.
The trucks started to sprinkle salt on local roads around 1 p.m.
On Monday morning, Environment Canada issued a weather warning for the Greater Toronto Area calling for heavy, accumulating snowfall.
The weather agency said that Hamilton is likely to be hardest hit, with up to 30cm of snow forecast. The Niagara region could also see 25cm of snow accumulate.
Toronto is forecast to receive between 10cm and 15cm of snow. Mississauga, Brampton, Markham, Vaughan, Milton, Caledon, Richmond Hill, Pickering, Oshawa are also under a weather advisory.
"This snowfall is due to a developing low pressure system which will track south of the lower Great Lakes on today," Environment Canada said Monday morning.
The snow is expected to fall heaviest during the afternoon commute and through the evening. Drivers are being warned of hazardous conditions that could deteriorate rapidly.
Vince Sferrazza, director of operations and maintenance for the City of Toronto, said that crews were working Sunday night in preparation for the snowfall.
“As soon as we found out there was going to be a significant weather event today we began bringing in the crews and the equipment. So we are ready,” he told CP24 on Monday.
“Last night we actually began pre-treating the expressways, hills and some other significant areas…That allows the salting operations to be more effective.”
School buses were cancelled in Niagara and Halton regions. The schools remained open.
Meanwhile, the City of Toronto is opening a warming centre at Metro Hall at 7 p.m. today.
"While the threshold for an extreme cold weather alert won't be reached until tomorrow, out of an abundance of caution, staff are opening it tonight," city spokesperson Brad Ross tweeted.
"Additional shelter beds have also opened up, with more opening up tomorrow."
Air travellers are being advised to check on the status of their flights before heading out the airport.


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AWS::Lightsail::Distribution CacheBehaviorPerPath
CacheBehaviorPerPath
is a property of the AWS::Lightsail::Distribution resource. It describes the per-path cache behavior
of an Amazon Lightsail content delivery network (CDN) distribution.
Use a per-path cache behavior to override the default cache behavior of a distribution,
or to add an exception to it. For example, if you set the CacheBehavior
to
cache
, you can use a per-path cache behavior to specify a directory,
file, or file type that your distribution will cache. If you don’t want your distribution
to cache a specified directory, file, or file type, set the per-path cache behavior to
dont-cache
.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
Properties
Behavior
-
The cache behavior for the specified path.
You can specify one of the following per-path cache behaviors:
-
cache
- This behavior caches the specified path. -
dont-cache
- This behavior doesn't cache the specified path.
Required: No
Type: String
Allowed values:
cache | dont-cache
Update requires: No interruption
-
Path
-
The path to a directory or file to cache, or not cache. Use an asterisk symbol to specify wildcard directories (
path/to/assets/*
), and file types (*.html
,*jpg
,*js
). Directories and file paths are case-sensitive.Examples:
-
Specify the following to cache all files in the document root of an Apache web server running on a instance.
var/www/html/
-
Specify the following file to cache only the index page in the document root of an Apache web server.
var/www/html/index.html
-
Specify the following to cache only the .html files in the document root of an Apache web server.
var/www/html/*.html
-
Specify the following to cache only the .jpg, .png, and .gif files in the images sub-directory of the document root of an Apache web server.
var/www/html/images/*.jpg
var/www/html/images/*.png
var/www/html/images/*.gif
Specify the following to cache all files in the images subdirectory of the document root of an Apache web server.
var/www/html/images/
Required: No
Type: String
Update requires: No interruption
-


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I Ate Greasy KFC In A Brand New Tesla Because I'm Ratchet Royalty
by Sarah Basford'Bad' and 'bougie' aren't two words I previously used to describe myself. Until today. I can now confidently proclaim I embody both of them after gobbling down some fancy KFC in somebody else's Tesla.
I don't want to eat fast food any other way again.
My usual ride is a beaten up Toyota Echo. It gets me places but it grunts and squeals the whole way. So when I was offered the chance to drive a Tesla to visit a KFC store opening in Newcastle, I was extremely grateful to experience a car more expensive than the entire summation of my life. It was actually just the Model 3, the cheapest of the Tesla lineup, equating to around $66,000.
After the world-first drive-through only KFC visit, I was gifted with some KFC samples to try out. Being a drive-through only store, there's not really anywhere to sit and eat. With my choices being the gutter or the extremely expensive Musk-mobile, I chose the latter.
To make the occasion extra special, I decided to head to somewhere nice to enjoy my fried chicken banquet. The KFC carpark wasn't really going to cut it for me.
With the kids buckled in, we were ready to make our way to the nearest beach for the ultimate self-partnered date: Beach Views and Fried Chicken Bites.
When I arrived my KFC was already cold but that didn't deter my spirits. I popped the lid of my Popcorn Chicken and took my first bite. Did it taste any different to eating KFC in my run-down Toyota Echo? Not really... but did I feel different? Yes, because I had transformed into the best version of myself. Upward mobility. A capitalist Cinderella story. True ratchet royalty. Also, the smell of expensive car upholstery infused with fried chicken is one I did not know I was missing in life.
Driving after eating fast food was admittedly a bit of a challenge because my fingers were greasy and I didn't want to tarnish the leather with my pleb hands.
My rollercoaster ride was now done but I remind myself: Don't cry because it's over, smile because it happened.
The author was provided with accommodation and a Tesla hire car by Kentucky Fried Chicken to visit the new store.