java.net.Socket
,
java.net.DatagramSocket
, and java.net.ServerSocket
.
By default, inspection assumes that the resources can be closed by any method with a close
or cleanup
in the name.
Example:
byte[] getMessage(ServerSocket socket) throws IOException { Socket client = socket.accept(); //socket is not closed return client.getInputStream().readAllBytes(); }
Use the first checkbox below to specify if a socket is allowed to be opened inside a try
block.
Use the second checkbox below to specify that the resource can be closed by any method call with the resource passed as argument.


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Learn JavaScript
Home
JavaScript Basics
Advance JavaScript
JQuery Basics
Advance JQuery
Ajax Basics
jQuery
Getting Started With jQuery
The basics-Selectors
Event Handlers
Frequently asked Questions With JQ
Change CSS Properties
Effect Speed
Login Slider
For Loop
Loop and Arrays
JS Function


1. Introduction
A EV3 large motor has an internal encoder to know in what state is the motor.
2. How to use the sensor
2.1. Read the state of the motor
package ev3dev.actuators.lego.motors;
import lejos.robotics.RegulatedMotor;
import lejos.utility.Delay;
/**
* Created by jabrena on 28/6/17.
*/
public class MotorEncoderTest {
public static void main(String[] args){
RegulatedMotor motor = Motor.A;
motor.resetTachoCount();
motor.coast();
for (int x=1; x < 20; x++){
System.out.println(motor.getTachoCount());
Delay.msDelay(500);
}
}
}


| Ping |
|
Send |
| Runtime TM |
|
Get |
| Job |
every s |
Set | Off |
| Beacon |
|
On | Off |
| FM repeater |
after s for
s
|
On |
| Scientific mode |
|
Terminate |
| PWR management |
|
Set mode |
Allow nom. |
Disallow nom.
|
| EPS channel |
|
On |
Off |
SAT Reset
|
| Photo |
after s
|
Take | Get |
| Photo fragment |
sz
[,
)
|
Get |
| Get archive |
sz
[,
)
|
Get |
| ARM SD Card |
|
Format |
| Helium |
TX Ampl. level [0, 255]:
|
Set |
Restore Cfg
|
| SAT Started |
|
|


The configuration is used to change how the chart behaves. There are properties to control styling, fonts, the legend, etc.
This concept was introduced in Chart.js 1.0 to keep configuration DRY, and allow for changing options globally across chart types, avoiding the need to specify options for each instance, or the default for a particular chart type.
Chart.js merges the options object passed to the chart with the global configuration using chart type defaults and scales defaults appropriately. This way you can be as specific as you would like in your individual chart configuration, while still changing the defaults for all chart types where applicable. The global general options are defined in Chart.defaults
. The defaults for each chart type are discussed in the documentation for that chart type.
The following example would set the interaction mode to ‘nearest’ for all charts where this was not overridden by the chart type defaults or the options passed to the constructor on creation.
Chart.defaults.interaction.mode = "nearest";
// Interaction mode is set to nearest because it was not overridden here
var chartInteractionModeNearest = new Chart(ctx, {
type: "line",
data: data,
});
// This chart would have the interaction mode that was passed in
var chartDifferentInteractionMode = new Chart(ctx, {
type: "line",
data: data,
options: {
interaction: {
// Overrides the global setting
mode: "index",
},
},
});
Options may be configured directly on the dataset. The dataset options can be changed at multiple different levels. See options for details on how the options are resolved.
The following example would set the showLine
option to ‘false’ for all line datasets except for those overridden by options passed to the dataset on creation.
// Do not show lines for all datasets by default
Chart.defaults.datasets.line.showLine = false;
// This chart would show a line only for the third dataset
var chart = new Chart(ctx, {
type: "line",
data: {
datasets: [
{
data: [0, 0],
},
{
data: [0, 1],
},
{
data: [1, 0],
showLine: true, // overrides the `line` dataset default
},
{
type: "scatter", // 'line' dataset default does not affect this dataset since it's a 'scatter'
data: [1, 1],
},
],
},
});


@* * Copyright 2018 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 uk.gov.hmrc.nrsretrievalfrontend.config.AppConfig @import uk.gov.hmrc.nrsretrievalfrontend.controllers.routes @import uk.gov.hmrc.play.views.html.helpers.form @()(implicit request: Request[_], messages: Messages, appConfig: AppConfig) @main_template(title = s"Start") { @form(action = routes.SearchController.showSearchPage()) {
Test
@Messages("start.text.one.lbl")
@Messages("start.text.two.lbl")
@Messages("start.text.three.lbl")


Turtle
To turn op over and gain side control.
Ops in turtle, you are at their side, hand cupping far shoulder/tricep, arm pit into waist/back, knee into hole between elbow and knee.
With right arm over op, left hand goes under their chin for the far wrist, right arm moves from shoulder to go around their butt and grab the far ankle or foot,
slide off the back abit so shoulders and chin are controlling the back, then pull arms towards yourself as in a row and push with shoulders/head to turn op over.
You end up in side control, get you knee in to touch their belt, keep their knee and elbow apart.


How to output the solutions and retrieve some useful stats¶
Below describes some of the data structures output from scousepy
and how to
access some potentially important information, starting with the things that
are probably most useful for most people (with some more involved stuff further
down that can be safely ignored unless you really want to dig).
How to output the best-fitting solutions to an ascii table¶
Assuming you have completed all four stages of the fitting process, you can output the best-fitting solutions to an ascii table using the following commands
# import scousepy
from scousepy import scouse
# create pointers to input, output, data
datadir='/path/to/the/data/'
outputdir='/path/to/output/information/'
filename='n2h+10_37'
# run scousepy
config_file=scouse.run_setup(filename, datadirectory, outputdir=outputdir)
s = scouse.stage_1(config=config_file, interactive=True)
s = scouse.stage_2(config=config_file)
s = scouse.stage_3(config=config_file)
s = scouse.stage_4(config=config_file, bitesize=False)
# output the ascii table
from scousepy.io import output_ascii_indiv
output_ascii_indiv(s, outputdir)
Note that in the above case, running the first four stages will simply load the
relevant information which is stored in pickle files. I have set the keyword
bitesize=False
here to prevent scousepy
from opening the stage 4 GUI.
The final two lines will output the information to an ascii file.
Each row in the table corresponds to a single component. So any given pixel may have multiple rows in the table. The columns correspond to
number of components at that pixel location
x location (pixels)
y location (pixels)
amplitude
amplitude uncertainty
shift (centroid velocity)
shift uncertainty
width (dispersion not FWHM)
width uncertainty
rms
standard deviation of the residual spectrum
\(\chi^{2}\)
number of degrees of freedom
reduced \(\chi^{2}\)
AIC
It is worth noting that a similar table will be output during stage 2. This describes the solutions to the spectra extracted from the SAAs.
How to retrieve some useful statistics regarding the fits¶
The scousepy.stats
module offers some basic but informative statistics
on the decomposition. We can compute the statistics using
# import scousepy
from scousepy import scouse
# create pointers to input, output, data
datadir='/path/to/the/data/'
outputdir='/path/to/output/information/'
filename='n2h+10_37'
# run scousepy
config_file=scouse.run_setup(filename, datadirectory, outputdir=outputdir)
s = scouse.stage_1(config=config_file, interactive=True)
s = scouse.stage_2(config=config_file)
s = scouse.stage_3(config=config_file)
s = scouse.stage_4(config=config_file, bitesize=False)
# compute the statistics
stats=scouse.compute_stats(s)
The following information can then be accessed via the stats
object
print("The total number of spectra in the cube is: ", stats.nspec)
print("The total number of spectral averaging areas is: ", stats.nsaa)
print("The total number of spectra contained within the SAA coverage is: ", stats.nspecsaa)
print("The total number of spectra with model solutions is: ", stats.nfits)
print("The total number of fitted components is: ", stats.ncomps)
print("The number of components per fit is: ", stats.ncompsperfit )
print("The total number of fits requiring multi-component models is: ", stats.nmultiple)
In addition, the user can obtain the distributions of some of the common parameters and goodness-of-fit statistics using
param_dict = stats.stats
saa_param_dict = stats.saastats
These will return dictionaries outlining the distribution of quantities such as the model parameters. Each statistic has an associated list that includes
minimum value
25th percentile
median
75th percentile
maximum value
mean value
In addition, stats.saastats
includes some useful information about the SAA
fitting. It gives the distribution of the SNR
and alpha
parameters, as well
as the number of spectra that were fit manually (i.e. not using derivative
spectroscopy).
(Advanced) How to work your way around the SAAs¶
The SAAs and their associated models are housed within a dictionary called saa_dict
.
It is indexed according to the number of levels of refinement in the SAA fitting.
For most use cases, you may only use a single SAA size, and so the dictionary
containing the SAAs can be accessed with mySAAdict=s.saa_dict[0]
.
Each SAA is represented as an object in this dictionary. Note that there is a SAA for every single SAA, even if that SAA was not fit (i.e. if it did not satisfy the masking criteria in stage 1). To get a list of SAAs that were fit you can use something like
mySAAdict=s.saa_dict[0]
myFittedSAAs=[mySAAdict[key] for key in mySAAdict.keys() if mySAAdict[key].to_be_fit]
Each SAA object contains information such as its pixel coordinates (saa.coordinates
),
the indices of the individual spectra included in its boundary (saa.indices
),
the spatially averaged spectrum extracted from those pixels (saa.spectrum
),
the measured rms (saa.rms
), and the best-fitting model solution (saa.model
)
for saa in myFittedSAAs:
print(saa.coordinates)
(Advanced) How to work your way around the individual spectra¶
Similar to the SAAs, scousepy
stores information on individual spectra in a
dictionary called indiv_dict
. The individual spectra objects contain a bunch
of information that may be useful including the pixel coordinates (spec.coordinates
),
the index of that spectrum (spec.index
), the measured rms (spec.rms
). It
also contains information regarding the parent SAA. The correct index for the
SAA dictionary can be accessed (spec.saa_dict_index
) and then the index of the
parent saa can be found (spec.saaindex
), such that the parent SAA can be accessed
(s.saa_dict[spec.saa_dict_index][spec.saaindex]
).
Further information regarding the fitting process can also be accessed here. The
input guesses from the parent SAA spectrum can be accessed via spec.guesses_from_parent
.
If some of these guesses yield results that are incompatible with the tolerance
levels supplied during stage 3 then scousepy
will modify the input guesses.
These can be accessed via spec.guesses_updated
.
Finally, the models from the parent SAA(s) can be found in spec.models_from_parent
,
and the best-fitting model is located in spec.model
indiv_dict=s.indiv_dict
for key, spec in indiv_dict.items():
print(spec.index, spec.coordinates)
print(spec.model)
(Advanced) A description of the scousepy
model object¶
Each decomposed spectrum, SAA or individual, has an associated model. The model object contains lots of useful information regarding the model solution. The attributes include
fittype : string
Model used during fitting (e.g. Gaussian)
parnames : list
A list containing the parameter names in the model (corresponds to those
used in pyspeckit)
ncomps : Number
Number of components in the model solution
params : list
The parameter estimates
errors : list
The uncertainties on each measured parameter
rms : Number
The measured rms value
residstd : Number
The standard deviation of the residuals
chisq : Number
The chi squared value
dof : Number
The number of degrees of freedom
redchisq : Number
The reduced chi squared value
AIC : Number
The akaike information criterion
fitconverge : bool
Indicates whether or not the fit has converged
method : String
The method of decomposition (parent, dspec, manual, removed)


for
(PHP 4, PHP 5, PHP 7)
for 循环是 PHP 中最复杂的循环结构。它的行为和 C 语言的相似。 for 循环的语法是：
for (expr1; expr2; expr3)
statement
第一个表达式（expr1）在循环开始前无条件求值（并执行）一次。
expr2 在每次循环开始前求值。如果值为 TRUE，则继续循环，执行嵌套的循环语句。如果
值为 FALSE，则终止循环。
expr3 在每次循环之后被求值（并执行）。
每个表达式都可以为空或包括逗号分隔的多个表达式。表达式 expr2 中，所有用逗号分隔
的表达式都会计算，但只取最后一个结果。expr2 为空意味着将无限循环下去（和 C 一样
，PHP 暗中认为其值为 TRUE）。这可能不像想象中那样没有用，因为经常会希望用有条件
的 break 语句来结束循环而不是用 for 的表达式真值判断。
考虑以下的例子，它们都显示数字 1 到 10：
10) {
break;
}
echo $i;
}
/* example 3 */
$i = 1;
for (;;) {
if ($i > 10) {
break;
}
echo $i;
$i++;
}
/* example 4 */
for ($i = 1, $j = 0; $i <= 10; $j += $i, print $i, $i++);
?>
当然，第一个例子看上去最简洁（或者有人认为是第四个），但用户可能会发现在 for 循
环中用空的表达式在很多场合下会很方便。
PHP 也支持用冒号的 for 循环的替代语法。
for (expr1; expr2; expr3):
statement;
...
endfor;
有时经常需要像下面这样例子一样对数组进行遍历：
'Kalle', 'salt' => 856412),
Array('name' => 'Pierre', 'salt' => 215863)
);
for($i = 0; $i < count($people); ++$i)
{
$people[$i]['salt'] = rand(000000, 999999);
}
?>
以上代码可能执行很慢，因为每次循环时都要计算一遍数组的长度。由于数组的长度始终
不变，可以用一个中间变量来储存数组长度以优化而不是不停调用 count()：
'Kalle', 'salt' => 856412),
Array('name' => 'Pierre', 'salt' => 215863)
);
for($i = 0, $size = count($people); $i < $size; ++$i)
{
$people[$i]['salt'] = rand(000000, 999999);
}
?>
User Contributed Notes 17 notes
===============================================================================
Looping through letters is possible. I'm amazed at how few people know that.
for($col = 'R'; $col != 'AD'; $col++) {
echo $col.' ';
}
returns: R S T U V W X Y Z AA AB AC
Take note that you can't use $col < 'AD'. It only works with !=
Very convenient when working with excel columns.
===============================================================================
when iterating a multidimentional array like this:
for ($i = 0; $i < $size_x; $i++) {
for ($j = 0; $j < $size_y; $j++) {
do_something($a[$i][$j]);
}
}
it is faster to use $a[$i][$j] than using $a[$j][$i]
for ($i = 0; $i < $size_x; $i++) {
for ($j = 0; $j < $size_y; $j++) {
do_something($a[$j][$i]);
}
}
if you know about how RAM works you understand why
===============================================================================
The point about the speed in loops is, that the middle and the last expression
are executed EVERY time it loops.
So you should try to take everything that doesn't change out of the loop.
Often you use a function to check the maximum of times it should loop. Like
here:
Faster would be:
And here a little trick:
The $i gets changed after the copy for the function (post-increment).
===============================================================================
You can use strtotime with for loops to loop through dates
";
}
?>
===============================================================================
drikhoek
$hoogte=$_POST["breedte"];
print(" ");
for($teller=1; $teller<=$hoogte; $teller++)
{
for($breedte=1; $breedte<=$teller; $breedte++)
{ print("*");
}
print(" ");
}
?>
it's an example!!!!!
===============================================================================
Also acceptable:
===============================================================================
";
}
?>
===============================================================================
Remember that for-loops don't always need to go 'forwards'. For example, let's
say I have the following code:
?
As other comments have pointed out, if "calculateLoopLength" will keep giving
back the same value, it can be moved outside the loop:
However, if the order the looping doesn't matter (ie. each iteration is
independent) then we don't need to use an extra variable either, we can just
count down (ie. loop 'backwards') instead:
0; $i--) {
doSomething($i);
}
?>
In fact, we can simplify this even more, since "$i > 0" is equivalent to "$i"
(due to type casting):
Finally, we can switch to a 'pre-decrement' instead of a 'post-decrement' to be
slightly more efficient (see, for example, http://dfox.me/2011/04/
php-most-common-mistakes-part-2-using-post-increment-instead-of-pre-increment/
):
In this case we could also replace the entire loop with a map, which might make
your algorithm clearer (although this won't work if calculateLoopLength() ==
0):
===============================================================================
In this code:
";
for ($i=0; $i";
}
echo "
Tot After: ".count($array)."
";
?>
The result is:
---
Tot Before: 9
Count: 9 - Position: 0
Count: 9 - Position: 1
Count: 9 - Position: 2
Count: 8 - Position: 3
Count: 8 - Position: 4
Count: 8 - Position: 5
Count: 8 - Position: 6
Count: 8 - Position: 7
Tot After: 8
---
The position 8 is skipped, because the "expr2" {{ $i
";
$count = count($array);
for ($i=0; $i<$count; $i++) {
if ($i === 3) {
unset($array[$i]);
}
echo "Count: ".count($array). " - Position: ".$i."
";
}
echo "
Tot After: ".count($array)."
";
?>
===============================================================================
On the combination problem again...
It seems to me like it would make more sense to go through systematically. That
would take nested for loops, where each number was put through all of it's
potentials sequentially.
The following would give you all of the potential combinations of a four-digit
decimal combination, printed in a comma delimited format:
Of course, if you know that the numbers you had used were in a smaller subset,
you could just plunk your possible numbers into arrays $a, $b, $c, and $d and
then do nested foreach loops as above.
- Elizabeth
===============================================================================
Note, that, because the first line is executed everytime, it is not only slow
to put a function there, it can also lead to problems like:
"a", 1 => "b", 2 => "c", 3 => "d");
for($i = 0; $i < count($array); $i++){
echo $array[$i];
unset($array[$i]);
}
?>
This will only output the half of the elements, because the array is becoming
shorter everytime the for-expression counts it.
===============================================================================
For those who are having issues with needing to evaluate multiple items in
expression two, please note that it cannot be chained like expressions one and
three can. Although many have stated this fact, most have not stated that
there is still a way to do this:
===============================================================================
If you're already using the fastest algorithms you can find (on the order of O
(1), O(n), or O(n log n)), and you're still worried about loop speed, unroll
your loops using e.g., Duff's Device:
(This is a modified form of Duff's original device, because PHP doesn't
understand the original's egregious syntax.)
That's algorithmically equivalent to the common form:
$val++ can be whatever operation you need to perform ITERATIONS number of
times.
On my box, with no users, average run time across 100 samples with ITERATIONS =
10000000 (10 million) is:
Duff version: 7.9857 s
Obvious version: 27.608 s
===============================================================================
As a note for people just starting out and wanting to know if you can do some
thing like this...
//Random html elements you would like to duplicate.
Then yes you can. It works like a charm.
===============================================================================
You can also work with arrays. For example, say you want to generate an array
of 12 unique 2-letter strings:
word(2);
}
print_r($names);
?>
will print something like:
Array
(
[0] => cc
[1] => cb
[2] => dd
[3] => db
[4] => bb
[6] => cd
[8] => aa
[9] => ad
[10] => ca
[11] => ac
[12] => dc
[15] => ab
)
===============================================================================
Here is another simple example for " for loops"
this will be count how many "e" characters in that text (Welcome to PHP)
===============================================================================
Here is another simple example for " for loops"
this will be count how many "e" characters in that text (Welcome to PHP)


| Jump to DART Documentation Main Index |
Generic main program which can be compiled with a model-specific model_mod.f90 file. The model must provide an adv_1step() subroutine which advances one copy of the model forward in time.
The executable built by this program can be used by the serial program perfect_model_obs, or either the serial or parallel version of the filter program. This program is called by the default script in the template directory called advance_model.csh, and is selected by setting the corresponding "async = " namelist setting to 2.
This program only advances a single ensemble member per execution and is expected to be run as a serial program. It can be compiled with the MPI wrappers and called with mpirun with more than 1 task, however, it will only call the model advance subroutine from a single task (task 0). This can be useful in testing various scripting options using simpler and smaller models in preparation for running a larger parallel model.
There is no namelist for this program.
types_mod time_manager_mod utilities_mod assim_model_mod obs_model_mod ensemble_manager_mod mpi_utilities_mod
| Routine | Message | Comment |
|---|---|---|
| integrate_model | none | none |
none
This program could have a namelist. Possible items for the namelist include the names of the input and output files, and the format of the updated model state in the output files. Right now the names are hardcoded and the format is always binary (for more accurate numerical fidelity), but for debugging human-readable ascii files can be more useful.
A true MPI version of this program could advance multiple ensemble members at a time, one per MPI task.
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


ABEL A film review by Jeff Meyer Copyright 1987 Jeff Meyer
Seen at the Seattle Film Festival: ABEL (Netherlands, 1986) Director/Writer: Alex van Warmerdam Cast: Alex van Warmerdam, Henri Garcin, Olga Zuiderhock, Annet Matherbe Subtitled
ABEL is that standard staple of films everywhere, the family farce. Here we have a penthouse apartment inhabited by Abel, a 31-year-old eccentric who has never left the house, and likes to try to kill flies with scissors; and his parents, a Valkyrie-like mother, Dove, who indulges her son's behavior, and the strict, parochial father, Victor, who attempts to have them all lead a "normal life"--though his definition of normal is not particularly wide-spread (thank goodness!). The film opens with the growing friction between Abel and Victor, and the rather bizarre actions of Dove, and how it drives Victor out to find a mistress, Sis. As Dove and Abel become stranger and stranger, Victor be- comes more and more frustrated, until, one night, he throws Abel out of the house... and, by coincidence (this is a farce, after all), into the arms of Sis.
Mildly entertaining, with a few pretty funny parts, but don't go out of your way to see it. A D+, $1.50 film.
Moriarty, aka Jeff Meyer INTERNET<EMAIL_ADDRESS>Manual UUCP: {uw-beaver, sun, allegra, sb6, lbl-csam}!fluke!moriarty
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


{%extends 'base.html'%} {%block content%} It’s one of the last days of the journey and the kids are on their way back, tired and exhausted. They stop by a hospital to get a few extra first aid kits. They notice that because of a roadblock, many employees were unable to attend an important seminar where they were going to educate the locals about malnutrition in children and distribute Ready-to-Use Therapeutic Foods (RUTFs) later. The hospital now lacks staff who can help put together the seminar and handle the public. How should the children approach this situation? Tell the hospital staff that they need to report back to the university soon so they can’t stay back Volunteer to stay back and help the hospital staff to conduct the seminar by standing in to distribute food packets, helping to organize the seminar Call a few friends who live in that area and ask them to come and help as you are extremely tired {%endblock%}
Tell the hospital staff that they need to report back to the university soon so they can’t stay back
Volunteer to stay back and help the hospital staff to conduct the seminar by standing in to distribute food packets, helping to organize the seminar
Call a few friends who live in that area and ask them to come and help as you are extremely tired


{% extends 'bootstrap/base.html' %} {% block title %}Distributed Cloud Networking{% endblock %} {% include 'navbar.html' %} {% block content %}
Choose the Origin Zone
Choose the Destination Zone
Choose the ACL Direction
Choose the ACL Action
Description:
Ether Type:
Protocol:
Source Port:
Destination Port:
DSCP: Add New ACL Rule


Building Rails for scale
Dinshaw Gobhai |<EMAIL_ADDRESS>@tallfriend
dev-setup.md
1 ## Install prerequisites
2 brew install mysql
... ...
1002
1003 ## Run the app
1004 rails s
Don't do it.
Don't over architect.
Don't prematurely engineer.
Don't solve problems you don't have yet.
iRule to direct requests by :account_id
8 Torquebox instances (96 app servers)
1 Redis Server
1 Memcached Server
1 MySQL master, 1 slave
SLA: < 500ms
Actual: ~ 44s
---
(3M / 500) * 44s = 3 days
(3B / 500) * 44s = 8.4 years
Ruby-prof/Dtrace
Benchmark
def count
Benchmark.measure "Count people" do
ContactsSelector.count_people(params)
end
end
Preload, Eagerload, Includes and Joins
.preload(:association)
Separate queries for associated tables.
.eager_load(:association)
One query with all associations 'LEFT OUTER' joined.
.includes(:association)
Picks one of the above.
.joins(:association)
One query with all associations 'INNER' joined.
https://www.youtube.com/watch?v=ShPAxNcLm3o
.where(
"author.name = ? and posts.active = ?",
"Jane", true
)
Post
.joins(:comments)
.joins(Comments.joins(:author).join_sources)
.where(
Author[:name].eq('Jane')
.and(Post[:active].eq(true))
)
SLA: < 500ms
Actual: ~ 26s
Rails anti-pattern?
Multiple-column index is faster than multiple indexs
class Contact > ActiveRecord::Base
primary_key [:account_id, :contact_id]
...
end
Remember a previous method lookup, directly at call site.
class Foo
def do_someting
puts 'foo!'
end
end
# first time does a full lookup of .do_something
# stores "puts 'foo!'" at the call site, or 'in-line'
foo = Foo.new
foo.do_something
# second time
# knows to just run "pust 'foo!'"
bar = Foo.new
bar.do_something
class Foo
def do_something
puts 'foo!'
end
end
class Bar
def do_something
puts 'bar?'
end
end
# Worst case scenario for Monomorphic
[Foo.new, Bar.new, Foo.new, Bar.new].each do |obj|
obj.do_something
end
case obj.class
when Foo; puts 'foo!'
when Bar; puts 'bar?'
else # lookup ...
end
github.com/charliesome/...rubys-method-cache
# composite_primary_keys/relation.rb
def add_cpk_support
class << self
include CompositePrimaryKeys::ActiveRecord::Batches
include CompositePrimaryKeys::ActiveRecord::Calculations
...
# patch
class CompositePrimaryKeys::ActiveRecord::Relation < ActiveRecord::Relation
include CompositePrimaryKeys::ActiveRecord::Batches
include CompositePrimaryKeys::ActiveRecord::Calculations
...
class ActiveRecord::Relation
def self.new( klass, ... )
klass.composite? ?
CompositePrimaryKeys::ActiveRecord::Relation.new : self
end
Tables still too big - millions of Contacts per cell
MySQL Hash partitioning by :account_id
SLA: < 500ms
Actual: ~ 4s
DB: 12ms
Skip your ORM
string = params[:country]
country = COUNTRY_CODE_MAP.detect do |k,v|
[k.downcase, v.downcase].include? string.downcase
end
string = params[:country]
country = COUNTRY_CODE_MAP.detect do |k,v|
k.casecmp(string) == 0 || v.casecmp(string) == 0
end
def contact_ids
@contact_ids ||= params[:ids].split(',')
end
def subscriber_confirmation
@subscriber_confirmation ||= expensive_lookup
end
def subscriber_confirmation
@subscriber_confirmation ||= Rails.cache.fetch(
"subscriber_confirmation:#{Current.account}",
:expires_in => LONG_TIME_IN_SECONDS
) { | key| expensive_lookup(key) }
end
class SomeModel
def funky_method
unless complicated_action_succeeds
raise FunkyError, 'Something Funky Failed'
end
end
end
class SomeController
def some_action
response = SomeModel.new(params).funky_method
render status: 200, json: response
rescue FunkyError => e
render status: 400, json: {errors: 'Funky Failboat!'}
end
end
class SomeModel
def funky_method
unless complicated_action_succeeds
{ error: 'Yeah, that happens' }
end
end
end
class SomeController
def some_action
response = SomeModel.new(params).funky_method
status = response[:error] ? 400 : 200
render status: status, json: response
end
end
Rails.logger.debug "This is expensive #{some_expensive_method}"
big_array.each do |x|
Rails.logger.debug 'processing row'
...
end
if Rails.logger.debug?


time
Syntax
time ( var t : string )
Description
The time statement is used to determine the current time of day. Variable t is assigned a string in the format "hh:mm:ss". For example, if the time is two minutes and 47 seconds after nine A.M., t will be set to "09:02:47". Twenty-four hour time is used. For example, eleven thirty P.M. gives the string "23:30:00".
Example
This program greets you and tells you the time of day.
var timeOfDay : string
time ( timeOfDay )
put "Greetings!! The time is ", timeOfDay
Details
Be warned that on some computers such as IBM PC compatibles or Apple Macintoshes, the time may not be set correctly in the operating system. In this case, the time procedure will give incorrect results.
See also
delay, clock, sysclock, wallclock and date statements.
See also predefined unit Time.


Full-Stack Solution For Elliptic SignUp From
This sample includes a three steps Sign Up Application Form following the information provided at elliptic/home/vault/signup
Technologies used:


Python SDK released in Apache Beam 0.6.0
Apache Beam’s latest release, version 0.6.0, introduces a new SDK – this time, for the Python programming language. The Python SDK joins the Java SDK as the second implementation of the Beam programming model.
The Python SDK incorporates all of the main concepts of the Beam model, including ParDo, GroupByKey, Windowing, and others. It features extensible IO APIs for writing bounded sources and sinks, and provides built-in implementation for reading and writing Text, Avro, and TensorFlow record files, as well as connectors to Google BigQuery and Google Cloud Datastore.
There are two runners capable of executing pipelines written with the Python SDK today: Direct Runner and Dataflow Runner, both of which are currently limited to batch execution only. Upcoming features will shortly bring the benefits of the Python SDK to additional runners.
Try the Apache Beam Python SDK
If you would like to try out the Python SDK, a good place to start is the Quickstart. After that, you can take a look at additional examples, and deep dive into the API reference.
Let’s take a look at a quick example together. First, install the apache-beam
package from PyPI and start your Python interpreter.
$ pip install apache-beam
$ python
We will harness the power of Apache Beam to estimate Pi in honor of the recently passed Pi Day.
import random
import apache_beam as beam
def run_trials(count):
"""Throw darts into unit square and count how many fall into unit circle."""
inside = 0
for _ in xrange(count):
x, y = random.uniform(0, 1), random.uniform(0, 1)
inside += 1 if x*x + y*y <= 1.0 else 0
return count, inside
def combine_results(results):
"""Given all the trial results, estimate pi."""
total, inside = sum(r[0] for r in results), sum(r[1] for r in results)
return total, inside, 4 * float(inside) / total if total > 0 else 0
p = beam.Pipeline()
(p | beam.Create([500] * 10) # Create 10 experiments with 500 samples each.
| beam.Map(run_trials) # Run experiments in parallel.
| beam.CombineGlobally(combine_results) # Combine the results.
| beam.io.WriteToText('./pi_estimate.txt')) # Write PI estimate to a file.
p.run()
This example estimates Pi by throwing random darts into the unit square and keeping track of the fraction of those darts that fell into the unit circle (see the full example for details). If you are curious, you can check the result of our estimation by looking at the output file.
$ cat pi_estimate.txt*
Roadmap
The first thing on the Python SDK’s roadmap is to address two of its limitations. First, the existing runners are currently limited to bounded PCollections, and we are looking forward to extending the SDK to support unbounded PCollections (“streaming”). Additionally, we are working on extending support to more Apache Beam runners, and the upcoming Fn API will do the heavy lifting.
Both of these improvements will enable the Python SDK to fulfill the mission of Apache Beam: a unified programming model for batch and streaming data processing that can run on any execution engine.
Join us!
Please consider joining us, whether as a user or a contributor, as we work towards our first release with API stability. If you’d like to try out Apache Beam today, check out the latest 0.6.0 release. We welcome contributions and participation from anyone through our mailing lists, issue tracker, pull requests, and events.


This extension converts Markdown files to pdf, html, png or jpeg files.
Supports the following features
Sample files
INPUT
::: warning
*here be dragons*
:::
OUTPUT

here be dragons

INPUT
@startuml
Bob -[#red]> Alice : hello
Alice -[#0000FF]->Bob : ok
@enduml
OUTPUT
Include markdown fragment files: :[alternate-text](relative-path-to-file.md)
.
├── [plugins]
│ └── README.md
├── CHANGELOG.md
└── README.md
INPUT
README Content
:[Plugins](./plugins/README.md)
:[Changelog](CHANGELOG.md)
OUTPUT
Content of README.md
Content of plugins/README.md
Content of CHANGELOG.md
INPUT
```mermaid stateDiagram [*] --> First state First { [*] --> second second --> [*] } ```
OUTPUT
Chromium download starts automatically when Markdown PDF is installed and Markdown file is first opened with Visual Studio Code.
However, it is time-consuming depending on the environment because of its large size (~ 170Mb Mac, ~ 282Mb Linux, ~ 280Mb Win).
During downloading, the message Installing Chromium
is displayed in the status bar.
If you are behind a proxy, set the http.proxy
option to settings.json and restart Visual Studio Code.
If the download is not successful or you want to avoid downloading every time you upgrade Markdown PDF, please specify the installed Chrome or 'Chromium' with markdown-pdf.executablePath option.
F1
or Ctrl+Shift+P
export
and select below
markdown-pdf: Export (settings.json)
markdown-pdf: Export (pdf)
markdown-pdf: Export (html)
markdown-pdf: Export (png)
markdown-pdf: Export (jpeg)
markdown-pdf: Export (all: pdf, html, png, jpeg)
markdown-pdf: Export (settings.json)
markdown-pdf: Export (pdf)
markdown-pdf: Export (html)
markdown-pdf: Export (png)
markdown-pdf: Export (jpeg)
markdown-pdf: Export (all: pdf, html, png, jpeg)
"markdown-pdf.convertOnSave": true
option to settings.jsonVisual Studio Code User and Workspace Settings
markdown-pdf.*
settingsmarkdown-pdf.type
"markdown-pdf.type": [
"pdf",
"html",
"png",
"jpeg"
],
markdown-pdf.convertOnSave
markdown-pdf.convertOnSaveExclude
"markdown-pdf.convertOnSaveExclude": [
"^work",
"work.md$",
"work|test",
"[0-9][0-9][0-9][0-9]-work",
"work\\test" // All '\' need to be written as '\\' (Windows)
],
markdown-pdf.outputDirectory
\
need to be written as \\
(Windows)"markdown-pdf.outputDirectory": "C:\\work\\output",
Markdown file
, it will be interpreted as a relative path from the filefolder
, it will be interpreted as a relative path from the root folderworkspace
, it will be interpreted as a relative path from the each root folder
"markdown-pdf.outputDirectory": "output",
~
, it will be interpreted as a relative path from the home directory"markdown-pdf.outputDirectory": "~/output",
relative path
, it will be created if the directory does not existabsolute path
, an error occurs if the directory does not existmarkdown-pdf.outputDirectoryRelativePathFile
markdown-pdf.outputDirectoryRelativePathFile
option is set to true
, the relative path set with markdown-pdf.outputDirectory is interpreted as relative from the filemarkdown-pdf.styles
\
need to be written as \\
(Windows)"markdown-pdf.styles": [
"C:\\Users\\<USERNAME>\\Documents\\markdown-pdf.css",
"/home/<USERNAME>/settings/markdown-pdf.css",
],
Markdown file
, it will be interpreted as a relative path from the filefolder
, it will be interpreted as a relative path from the root folderworkspace
, it will be interpreted as a relative path from the each root folder
"markdown-pdf.styles": [
"markdown-pdf.css",
],
~
, it will be interpreted as a relative path from the home directory"markdown-pdf.styles": [
"~/.config/Code/User/markdown-pdf.css"
],
"markdown-pdf.styles": [
"https://xxx/markdown-pdf.css"
],
markdown-pdf.stylesRelativePathFile
markdown-pdf.stylesRelativePathFile
option is set to true
, the relative path set with markdown-pdf.styles is interpreted as relative from the filemarkdown-pdf.includeDefaultStyles
markdown-pdf.highlight
markdown-pdf.highlightStyle
"markdown-pdf.highlightStyle": "github.css",
markdown-pdf.breaks
markdown-pdf.emoji
markdown-pdf.executablePath
\
need to be written as \\
(Windows)"markdown-pdf.executablePath": "C:\\Program Files (x86)\\Google\\Chrome\\Application\\chrome.exe"
markdown-pdf.scale
"markdown-pdf.scale": 1
markdown-pdf.displayHeaderFooter
markdown-pdf.headerTemplate
markdown-pdf.footerTemplate

: formatted print date
: markdown file name
: markdown full path name
: current page number
: total pages in the document"markdown-pdf.headerTemplate": "

",
"markdown-pdf.footerTemplate": "
  /
",
markdown-pdf.printBackground
markdown-pdf.orientation
markdown-pdf.pageRanges
"markdown-pdf.pageRanges": "1,4-",
markdown-pdf.format
"markdown-pdf.format": "A4",
markdown-pdf.width
markdown-pdf.height
"markdown-pdf.width": "10cm",
"markdown-pdf.height": "20cm",
markdown-pdf.margin.top
markdown-pdf.margin.bottom
markdown-pdf.margin.right
markdown-pdf.margin.left
"markdown-pdf.margin.top": "1.5cm",
"markdown-pdf.margin.bottom": "1cm",
"markdown-pdf.margin.right": "1cm",
"markdown-pdf.margin.left": "1cm",
markdown-pdf.quality
"markdown-pdf.quality": 100,
markdown-pdf.clip.x
markdown-pdf.clip.y
markdown-pdf.clip.width
markdown-pdf.clip.height
// x-coordinate of top-left corner of clip area
"markdown-pdf.clip.x": 0,
// y-coordinate of top-left corner of clip area
"markdown-pdf.clip.y": 0,
// width of clipping area
"markdown-pdf.clip.width": 1000,
// height of clipping area
"markdown-pdf.clip.height": 1000,
markdown-pdf.omitBackground
markdown-pdf.plantumlOpenMarker
markdown-pdf.plantumlCloseMarker
markdown-pdf.plantumlServer
docker run -d -p 8080:8080 plantuml/plantuml-server:jetty
plantuml/plantuml-server - Docker Hubmarkdown-pdf.markdown-it-include.enable
markdown-pdf.mermaidServer
.emoji {
height: 2em;
}
Using files.autoGuessEncoding
option of the Visual Studio Code is useful because it automatically guesses the character code. See files.autoGuessEncoding
"files.autoGuessEncoding": true,
If you always want to output to the relative path directory from the Markdown file.
For example, to output to the "output" directory in the same directory as the Markdown file, set it as follows.
"markdown-pdf.outputDirectory" : "output",
"markdown-pdf.outputDirectoryRelativePathFile": true,
Please use the following to insert a page break.

markdown-pdf.styles
optionmarkdown-pdf.mermaidServer
optionmarkdown-pdf.plantumlServer
option
MIT
and


Read time: 2.0 minutes (201 words)
Installing PyLiT¶
Installation from PyPI¶
sphinxcontrib-pylit
is published on the Python Package Index. The preferred tool for installing
packages from PyPI is pip. This tool is provided with all modern
versions of Python.
On Linux or MacOS, you should open your terminal and run the following command.
$ pip install -U sphinx
On Windows, you should open Command Prompt (⊞Win-r and type cmd) and run the same command.
C:\> pip install -U sphinx
After installation, type pylit --version on the command prompt. If everything worked fine, you will see the version number for the Sphinx package you just installed.
Installation from PyPI also allows you to install the latest development
release. You will not generally need (or want) to do this, but it can be
useful if you see a possible bug in the latest stable release. To do this, use
the --pre
flag.
$ pip install -U --pre pylit6
Installation from source¶
You can install PyLiT directly from a clone of the Git repository. This can be done either by cloning the repo and installing from the local clone, on simply installing directly via git.
$ git clone https://github.com/sphinx-doc/sphinx
$ cd sphinx
$ pip install .
$ pip install git+https://github.com/rblack42/pylit8
You can also download a snapshot of the Git repo in either tar.gz or zip format. Once downloaded and extracted, these can be installed with pip as above.


Website is Unavailable
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responded to Alert
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Bret Palsson
commented:
i on it
Later That Day...
Weilu
and
Bret
's conversation
29 minutes ago
Conversation with Weilu, Bret
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Today
Did you push the codes?
Wed, 4:20 pm
I pushed the codes.
2 hours ago
Why you push the codes? Now it all broken!
13 minutes ago
Send
Weilu
deployed code
1 hour ago
Code Deployment
Today, 8:39 am
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Deployed code 511. Latest = 512.
Monday
, Feb 18
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Outage Details
Information about the outage period.
Started
2016-12-19 14:01:22
Total Outage Duration
37 minutes
Reported By
Alert detected from monitor
Website: HTTP
.
Customer Effecting
Yes
Ended
2016-12-19 14:38
Problem Owner
Weilu Jia
Involved
Bret Palsson, Weilu Jia
First Responder
Bret Palsson
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{% extends "base.html" %} {% block htmlhead %} {% endblock %} {% block title %}Home{% endblock %} {% block content %}
GreaterDebater is a social news website and discussion forum where you can comment on the hottest issues of the day. You can also challenge other commenters to one-on-one debates where our users cast votes for the side that most convincingly proves their case.
{% if not request.user.is_authenticated %}Log in or register to submit topics of your own, post comments, and participate in debates.
{% endif %}No debates are available
{% endif %}No topics are available
{% endif %} {% endblock %} {% block sidebar %}{% endblock %} {% block ads %} {% include "ads.html" %} {% endblock %}


https://unilag.edu.ng
<EMAIL_ADDRESS>facebook
twitter
instagram
Faux Name
UNILAG-CMS
My Complaint
My Courses
General
active
personal


Provide test monitor services,
Monitor
is the base class for all the monitors,
MonitorsManager
is used by the test to manage all the monitors.


DataManager
-
Default lazily loaded persistent store implementation
Declaration
Swift
lazy public var persistentStoreCoordinator: NSPersistentStoreCoordinator =
-
Default lazily loaded managed object context implementation
Declaration
Swift
lazy public var context: NSManagedObjectContext =
-
Default lazily loaded managed object model implementation
Declaration
Swift
lazy public var managedObjectModel: NSManagedObjectModel =
-
Base singleton shared instance implementation
Declaration
Swift
public class var sharedInstance: DataManager
-
Default application documents directory implementation
Declaration
Swift
func applicationDocumentsDirectory() -> NSURL
-
Default save context implementation
Declaration
Swift
public func save()
-
Helper function to delete an object from the context and save the change.
Declaration
Swift
public func delete(object: NSManagedObject!)
Parameters
object
The managed object to delete
-
Helper function to return an existing item, or create a new one, based on the predicate that specifies the unique identifier. If multiple objects are found with the same unique identifier, it will cause a crash. This was specifically intedend when designed.
Declaration
Swift
public func existingOrNewEntity(entityName: String!, predicate: NSPredicate?) -> AnyObject!
Parameters
entityName
The type of managed object to return
predicate
The predicate that will uniquely identify the object
Return Value
A object of the entity type that matches the uniquely identified predicate query
-
Helper function to fetch results from the managed object context based on entity type, and a predicate of any kind.
Declaration
Swift
public func fetchResults(entityName: String!, predicate: NSPredicate?) -> [AnyObject]?
Parameters
entityName
The type of managed object to fetch
predicate
The predicate describing the objects to fetch
Return Value
An array of objects matching the predicate
-
Helper function to create a new entity of a managed object. This funccion will insert the object into the context and save.
Declaration
Swift
public func newEntity(entityName: String!) -> AnyObject!
Parameters
entityName
The type of object to create
Return Value
The newly created object


Rajneesh Mishra
Software Engineer
Newgen Software Technologies
I am the software Engineer working in Newgen Software. My carrer started with the web appliacatin development. I have worked on HTML5, CSS3, AngularJs, SharePoint, Bootstrap, Javascript. Thats all with by experience. I am as a person loves to talk about the technologies. I wanted to have the joy of creating something that world can see. This is my first step towards it.
LearnWebTech
Platform to Learn and Teach
I always wanted to create the something that have the tag "Created by Rajneesh Mishra". But the idea behind creating the blog was to provide a platform where one can even learn and at the same time sharing the experience with others so that they can learn from you as well. Lets learn and teach. Lets grow as an individual having some impact on the society.
Rajneesh is very good guy. He is quite genuine and do what he feels to do. He takes wrok very seriously. I always wanted to create the something that have the tag "Created by Rajneesh Mishra". But the idea behind creating the blog was to provide a platform where one can even learn and at the same time sharing the experience with others so that they can learn from you as well. Lets learn and teach. Lets grow as an individual having some impact on the society.


Return Home
Available {{g.request}} Resources Near You
Lane County, OR
Show this code to your RVTD bus driver for a free ride.
{% if g.empty == True %}
There Are Currently No Results For Your Request. Please Try Expanding Your Search.
{% else %}
{% for results in g.results %}
{{results.Name}}
{% if results.Address != "" %}
Address: {{results.Address}}
{% else %}
No Address Listed
{% endif %}
{% if results.Phone != "" %}
Phone: {{results.Phone}}
{% else %}
No Phone Number Listed
{% endif %}
Accessibility:
{% if results.Restrictions[0] == True %}
This Service is Accessible to All
{% else %} {%for img in results.Restrictions%}
{% endfor %} {% endif %}
{% endfor %}
{% endif %}
Emergency Contacts
Eugene Emergency Services
Phone:
(541) 344-8757
Location:
1255 Hilyard St, Eugene, OR 97401
Sacred Heart Medical Center Home Health Services
Phone:
(541) 461-7550
Location:
677 E 12th Ave, Eugene, OR 97401
Non-Emergency Helpline
Phone:
(541) 682-5111
Location:
2232 Coburg Rd, Eugene, OR 97401


Occupancy is a significant area of interest within the field of building performance simulation (BPS). Through Bayesian calibration, …
Integrated Data, Energy Analysis + Simulation
A Passion for Better Buildings
IDEAS Lab is a research group in the Department of Building at the National University of Singapore (NUS) that engages in the integration building performance simulation with real-time data and machine learning. The group focuses on various aspects of building performance simulation including uncertainty quantification, model calibration, and building data analytics with the aim of creating energy efficient and healthier buildings.
Experiments and CFD studies for droplet and bioaerosol transmission inside building. A project funded by NUS COVID-19 Research Seed Grant.
A framework for identifying and quantifying the impact of occupancy-related schedules on ECMs’ performance using building energy simulation
Advanced machine learning based control for the HVAC systems
This study aims at improving the scalability of MPC by addressing modeling-related issues and establishing an automated framework.
Building lifecycle automatic data segmentation using natural language processing
A framework for seamless integration between Building Energy Simulation (BES) and data-driven analytics.
An R package for creating future weather files under climate changes for building energy simulation
Impacts of climate change on building energy systems
Life cycle cost optimization
Generating certified energy models in Singapore through an M&V framework.An NUS project in collaboration with Professor Godfried L. Augenbroe (Georgia Institute of Technology)
Adrian Chong is an Assistant Professor in the Department of Building at the National University of Singapore (NUS). He specializes in building performance modelling and simulation, with expertise in uncertainty quantification and building data analytics. He leads the Integrated Data, Energy Analysis + Simulation (IDEAS) research group, which engages in the interaction between building performance simulation, real-time data and machine learning.
PhD in Building Performance and Diagnostics, 2017
Carnegie Mellon University
Occupancy is a significant area of interest within the field of building performance simulation (BPS). Through Bayesian calibration, …


The command to run to check what version is installed. The command to be run must be the first line. Any arguments must be on the following lines.
This does not have to be the same command that we looked for on the path, but it will usually be the same, typically with an argument asking the command to report its version.
e.g. for git, the command would be "git --version
" and so the value to enter here would be:
git
--version
If this is left blank (the default) then no version check will be performed.


#include <Collation.hpp>
Public Member Functions | |
| virtual | ~Collation () |
| virtual const XMLCh * | getCollationName () const =0 |
| virtual Sequence | sort (Sequence data, const DynamicContext *context) const =0 |
| virtual int | compare (const XMLCh *const string1, const XMLCh *const string2) const =0 |
Protected Member Functions | |
| Collation () |
| virtual Collation::~Collation | ( | ) | [inline, virtual] |
| Collation::Collation | ( | ) | [inline, protected] |
| virtual int Collation::compare | ( | const XMLCh *const | string1, | |
| const XMLCh *const | string2 | |||
| ) | const [pure virtual] |
| virtual const XMLCh* Collation::getCollationName | ( | ) | const [pure virtual] |
| virtual Sequence Collation::sort | ( | Sequence | data, | |
| const DynamicContext * | context | |||
| ) | const [pure virtual] |


API Basejump: Timestamp microservice
User stories:
- 1) I can pass a string as a parameter, and it will check to see whether that string contains either a unix timestamp or a natural language date (example: January 1, 2016)
- 2) If it does, it returns both the Unix timestamp and the natural language form of that date.
- 3) If it does not contain a date or Unix timestamp, it returns null for those properties.
Example usage:
- https://timestamp-jocarosa.herokuapp.com/December%2015,%202015
- https://timestamp-jocarosa.herokuapp.com/1450137600
Example output:
- { "unix":<PHONE_NUMBER>, "natural": "December 15, 2015" }


Stand atop the giants of mathematics to take advantage of effective software verification tools.
Save yourself time and stress with precise and reusable abstractions.
We have some courses coming up, click the links below to find out more.
$partial("templates/course-front-page-snip.html")$If Functional Programming is so much better, why isn't everyone using it yet? Because you haven't knocked on our door yet. But also because there is a misunderstanding in the wider programming community that FP is "hard to learn", or "not practical". Neither of these things are true and we can demonstrate it to you.
Our team is committed to exploiting the benefits of Functional Programming and making sure that you can too!
We provide courses in Functional Programming from introductory through to applied, with more in development. They are free to attend and open to the public. We run them based on demand, so let us know if you're interested.
We can also arrange to run these courses in-house for your organisation, drop us a line and we'll be in touch.
We work to improve the functional programming ecosystem by sharing knowledge, writing libraries, and fixing bugs. All of our courses, software, and libraries are developed in the open and distributed as open source.
Some of the projects we're concentrating on at the moment:


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General Knowledge Quiz
1. What is the capital of Canada?
Ottawa
Montreal
Halifax
Toronto
2. Which are the official languages of Canada?
English and Spanish
Spanish and French
French and Russian
English and French
3. What is in the center of Canada's flag?
Two swords
Sun
Cross
Maple leaf
4. Which is the national animal of Canada?
Elephant
Beaver
Lion
tiger
5. Which country has larger area than canada?
Russia
China
USA
Brazil
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What does it mean to display inline vs inline-blocks?
- Block elements require their own line which means it can only move vertically
- Inline elements on the other hand can be placed on the same line adjacently and strictly move horizontally.
- An Inline-block element is a combination of the two displays where the element behaves like a block but can be placed inline with other elements.


Welcome to
Enhancing Group Security
Innovating Security at the Touch of a Button.
Innovating Security at the Touch of a Button.
Any business can useto summon aid at the touch of a button. Our technology is discreet and eliminates confusion by providing indoor location services.
Originally designed with church security in mind,turns your entire congregation into eyes and ears for the security team. If you don't have a security team,can still help protect your congregation.
helps identify where an incident is occuring and gets help there fast. Imrpove your school's security with.
uses low energy Bluetooth beacons for indoor/outdoor location services. First Responders are provided a basic alert and the location of the person requesting aid.
An orci nullam tempor sapien, eget gravida integer donec ipsum porta justo at odio integer congue magna undo auctor gravida velna magna orci lacus odio ac risus auctor faucibus orci ligula massa luctus et ultrices posuere cubilia.
gravida velna magna orci lacus odio ac risus auctor faucibus orci ligula massa luctus et ultrices posuere cubilia.
We designed to compliment groups with security teams (volunteers or professionals) in place. When is used by your group, the entire group becomes the eyes and ears of the security team. When aid is requested, a discreet text message is sent to the security team, who just as discreetly responds to the situation. ProtectApp incorporates your local emergency numbers into the app, speeding up professional response times by connecting you directly to your local dispatchers. Bluetooth beacons are required for to provide location services.
Read what our clients are saying about us.


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This is an index of drug ratings, reviews and comments submitted by patients and caregivers. This data is not vetted and should not be cosidered as verified clinical evidence. Click on the drug of interest or on the first letter of the drug's name in the alphabetic index below. Or see the list of the most frequently rated / reviewed drugs.


No soul for sale.
Music is the answer.
No ghosts here.
A record producer or music producer oversees and manages the sound recording and production of HOUSE music, which may range from recording one song to recording a lengthy concept album.
save my soul
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Many vendors provide ability to limit write access based on IP Whitelist. Since the protocol is UDP, this can be spoofed rather easily.
[snmpblow] can spoof a source IP


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Authentication key (API Key). Get your own by registering at https://secure.bytescout.com/users/sign_up.
Input File (*.xls, *.xlsx, *.ods, *.csv, *.json)
Convert To XLS XLSX CSV TXT HTML XML JSON PDF


LATITUDE 29 FORMULA ORGEAT & FALERNUM
To develop the house orgeat and falernum for Beachbum Berry’s Latitude 29, the Bum chose the Brooklyn-based syrup company Orgeat Works. Why? Because Tiki drink syrups are all they do, and they do it with love.
“Orgeat Works began out of necessity,” says founder Adam Kolesar, a.k.a. Tiki Adam, who first fell in love with Tiki drinks at a rum punch seminar led by Dale DeGroff back in 2002. “The complexity of the drinks and the lore behind them captured my imagination. So did the challenge of acquiring obscure ingredients not so commonly available in the early 2000s. Even orgeat — a rich, fragrant almond syrup essential to Tiki classics like the Mai Tai and Scorpion —was hard to find to find in the pre-Amazon.com era.” Adam’s wife eventually tracked down an online source for him, so that he could finally make his first Mai Tai. But he was taken aback when the orgeat arrived “packaged in plastic bottles and filled with all manner of stabilizers, preservatives and high fructose corn syrup.” Surprise led to depression when he tasted “the industrial, perfumed syrup, devoid of any trace of almond flavor.”
Then and there, Tiki Adam decided that if he couldn’t buy a good orgeat, he’d learn how to make one. He researched its origins, how it morphed from medieval French barley milk into a 19th-Century almond syrup enhanced with orange blossom water and rose water. He experimented with various types of cane sugar. He tried toasting the almonds before soaking and pressing them, to boost the presence of almond oil in the mix. And after many experiments, he finally had the flavor he wanted for the evening Mai Tais at his home Tiki bar.
Word of Adam’s experiments spread among New York’s craft cocktail bartenders. Before long he was making a bespoke toasted “T’Orgeat” for Prime Meats, a “Heavy Duty 50 Weight Orgeat” for Death & Company, and a macadamia nut orgeat for Julie Reiner’s Lani Kai. More booze hounds came calling -- including the Beachbum, who’d heard rumors of Brooklyn’s mad orgeat scientist and thought he just might be the guy to help him with the Mai Tai for Latitude 29.
OUR ORGEAT
“The Bum wanted to replicate the taste profile of Trader Vic’s original 1944 Mai Tai,” says Adam. “His position as the pre-eminent Tiki scholar would put his Mai Tai under close scrutiny by those in the know. He needed the perfect orgeat. I sent him several different unlabeled samples to blind-taste, and got feedback to make sure I could create exactly the flavor he had in mind. After a lot of discussion and adjustments, the Latitude 29 Formula emerged in its present form. It’s been in use at Latitude 29 since day one.”
This same orgeat is now available for retail purchase, so that home bartenders can use the best possible syrup for their own lovingly made Mai Tais. “Which,” says Adam, “is really all I was looking for back in 2002.”
OUR FALERNUM
With its bouquet of lime, clove, ginger and almond, falernum is practically a one-bottle Tiki bar. This aromatic elixir was invented in the early 1800s in Barbados, when Bajans made it at home by steeping lime peel, ginger root, almonds and cloves in rum. By mid-20th Century this folk recipe had been refined into a nonalcoholic syrup that became the secret weapon in mid-20th Century tiki classics like the Zombie, Jet Pilot, Cobra’s Fang and Pukka Punch. The standard call back then was A.V. Stansfeld Genuine Falernum, which has been extinct since the 1980s.
After Adam aced his Latitude 29 orgeat, the Bum asked him to create a falernum syrup with the same lush, crisp, flavor-bomb character of A.V. Stansfeld’s. Again, he delivered. At Latitude 29 we’d never make a Zombie or a Jet Pilot without it.
And now you can do the same at home.
BUY NOW (USA — Orgeat Works LTD)Learn more:


Hardware
We decided to use the Chassis Kit instead of reverse engineering a commercially made RC car. Reverse engineering and soldering onto an ADC was too difficult and the connections were unreliable.
| Item | Price |
|---|---|
| Chassis Kit | $19.95 |
| Raspberry Pi 4 Model B | $35.00 |
| Camera Module | $12.99 |
| Battery Pack | $24.95 |
Software
(github)This section will be split into two subsections, State Operations and Anti-Collision.
State Operations
Going with the camera option means that the car will run OpenCV for positioning and anti-collision. As a result the camera will be mounted near the back of the chassis along with a colored block of cardboard. OpenCV will be configured to look for blocks of color to identify other cars including the leader. As for the different operating states, we will list and describe them now:
FollowingAll cars will start in the following state. If no leader is issuing commands to the car, it will timeout and switch to the electing state. When in the following state, the car is sitting still or following commands sent by the leader car, all while running anti- collision.
ElectingOnce in the electing state cars will slowly spin 360 degrees in order to find other cars in its environment while asking for votes. If a car gets votes from at least N/2 other cars to become leader then it will switch to the leader state, else it will go back to the follower state and wait for commands from a leader or timeout to start another election.
LeadingAfter a car has successfully been elected it will become a leader. When becoming a leader, the car will use bluetooth to connect to the controller (this may be a physical RaspberryPi controller or a keyboard/computer). While waiting for connection to the bluetooth controller the leader will broadcast wait commands to all its followers.
Anti-Collision
Every car (except those in the leader state) will constantly run an anti-collision process using OpenCV (and possible short-range ultra-sonic sensors). This process will have the ability to override commands from the leader to either soften them (e.g. go left for 2 seconds instead of 10 seconds) or ignore them completely. The anti-collison software will also have a grouping protocol in which commands will be injected into the buffer to close the distance of the bluetooth connection with the leader. This grouping protocol will also be subject to overrides from the core anti-collison process.


Janaka and Ashtavakra
Swami Sarvapriyananda presents two stories about King Janaka and Sage Ashtavakra. He explains that while both dreams and waking experiences are not true, the experiencer (the consciousness) is always there. He states that neither the dream nor the experience is the truth, but rather the experiencer is the truth.
- That is not true. Dream is not true. But did you experience it? So you the experiencer was there.
- This is also not true. But are you experiencing it? That you cannot deny. You the experiencer are there.
- Neither this is true nor that is true but you’re the truth. You means consciousness, not the body/mind.


U2 Tops Rolling Stones, Ed Sheeran as Highest-Grossing Touring Artist of the Decade
by Jem AswadLOS ANGELES (Variety.com) – U2 topped the Rolling Stones and Taylor Swift as the top-grossing touring artist of the 2010s, according to data from Pollstar.
U2 grossed more than a billion dollars — $1,038,104,132, to be exact — although that number is likely to grow, as the group is currently on its “Joshua Tree 2019” tour in Australia, New Zealand and Asia.
The Stones were a distant second with over $929 million gross, and Sheeran third with more than $922 million. Taylor Swift is fourth with over $899 million and Beyonce fifth with $857 million. A full top 10 is printed below; more details are available at Pollstar.
Pollstar’s sister outlet, VenuesNow, published a list of the top-grossing venues for the decade, topped by the O2 Arena in London with nearly 15.6 million tickets told, and followed by New York’s Radio City Music Hall, with 13.7 million.
Touring Artists of the Decade
1 U2 – $1,038,104,132 gross
2 The Rolling Stones – $929,196,083 gross
3 Ed Sheeran – $922,361,663 gross
4 Taylor Swift – $899,627,048 gross
5 Beyonce – $857,405,819 gross
6 Bon Jovi – $836,661,584 gross
7 Paul McCartney – $813,811,559 gross
8 Coldplay – $731,805,591 gross
9 Bruce Springsteen & The E Street Band – $729,789,815 gross
10 Roger Waters – $702,231,419 gross


Chocolate Pizza
POSTED ON 15 DEC 2013 / DESSERT
PRINTFor the fig-swirl: Melt butter over medium heat in a saucepan. Add sugar Halve all of the figs and toss in the saucepan with water and lemon juice. Cook over medium heat, stirring frequently, until you have mixture. Add salt with one or two stirs, set aside and let cool
Ice cream: In a small pot over medium heat, combine milk, and granulated sugar until sugar is completely dissolved and just barely lukewarm. Whisk in the egg yolks. Set mixture in the fridge and wait until the fig mixture is cooled.
machine, pour liquids into the frozen basin and process according to manufacturer instructions, i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam mixture, and the nuts. Continue to process for +/- 10 minutes. Pour semi-frozen mixture into a pyrex dish or glass tupperware. Freeze for at least two hours before serving.
- 11/2 cupr milk
- 1/2 cuo muscarpone
- 1/2 tsp pink slat
- 1 lb Black Mission Figs
- 1/2 cup brown suger
- 2-4 tbsp water
- 11/2 cups heavy cream
1/3 granulated sugar2 egg yolks- 1 lemon , juiced
- 2 tbsp butter
- 1 cup honey roasted pecans , roughly chopped
Vanessa Stevensov
Food enthuslast ,photograghy fan .Add a pinch of raw foodism and that's pretty much who i am


Many times, we will come across some situations seeing Download Here Links on so many websites, Will they place actual File in the Download Here Link ?? Answer is No. Then How to acheive this through Programmatically, This Tutorial will guide you how you can develope your own Dynamic Download Here Links, with out giving out access to the actual file name.
Lets get into the discussion.
Inorder to acheive this Dynamic Download Here Link we have to play with header() in PHP.
PHP will give you flexibility to choose your actual content-type .
Lets see two examples How we can obtain this Dynamic Downlod Here link for PDF and EXE ..
Dynamic Download Here link for PDF File
Here is the piece of code
Create Download.php and paste the following code into the file
1 2 3 4 5 6 7 8 9 10 11 12 13 | <?php $file="GIVE_PATH_TO_ACTUAL_FILE_with_extension"; header('Content-type: application/pdf'); // It will be called downloaded.pdf header('Content-Disposition: attachment; filename="GIVE_MASKED_NAME"'); // The PDF source is in original.pdf readfile('$file'); ?> |
The Above Code will focus on Only Core activity of Downloading a PDF File. Depending on our requirements we can customize to suit our application requirements.
1. Handling Sessions to give away PDF to the Authenticated users Preventing others from download
2. Custom Naming of File Depending on the Time
Dynamic Download Here Link for EXE File
As same as above Here is the piece
Create Download.php and paste the following code into the file
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | <?php $file="ACTUAL_FILE_PATH_FOR_YOUR_EXE_FILE"; header("Content-Disposition: attachment; filename=CUSTOM_NAME_FOR_YOUR_DISPLAY_FILE_NAME" ); header("Content-Type: application/force-download"); header("Content-Type: application/octet-stream"); header("Content-Type: application/download"); header("Content-Description: File Transfer"); header("Content-Length: " . filesize($file)); flush(); // this doesn't really matter. $fp = fopen($file, "r"); while (!feof($fp)) { echo fread($fp, 65536); flush(); // this is essential for large downloads } fclose($fp); ?> |
The Above Code is helpful for CORE activity of Download of EXE File.
Customize, your application using above code
Happy Coding !!


---
title: page._name
---
{%- include header.html -%}
{%- include nav.html -%}
{%- include side_nav.html -%}
{%- include breadcrumb.html -%}
{{ page._name }}
{{ page.description }}
{{ page.long_description }}
{%- include detail_card.html -%}
{%- if site.data.activity_details[page._id].type == "Engagement" -%}
Whenever an adversary interacts with the environment, their actions reveal vulnerabilities. Defenders can utilize
engagement activities to take advantage of such weaknesses.
The following table lists the adversary tactics on the left and the revealed vulnerability on the right that can be
exploited by the defender using {{page._name}}.
| ATT&CK® Tactics |
Adversary Vulnerability Presented |
{%- for vulnerability in site.data.activity_details[page._id].vulnerabilities -%}
|
{%- for tactic in site.data.activity_details[page._id][vulnerability.id] -%}
{{ tactic.name }}
{%- if forloop.last == false -%}
,
{%- endif -%}
{%- endfor -%}
|
{{ vulnerability.eav }} |
{%- endfor -%}
{%- endif -%}
{%- include footer.html -%}


{% extends 'core_layout.html' %} {% load static %} {% block title %}Autodidacticism Articles{% endblock title %} {% block head %} {% endblock head %} {% block body %}
Autodidacticism is a very basic site where I can upload articles and papers that I write about topics that I find relevant and interesting. I also uses the site to upload and store white papers and research papers I find relevant to said topics as pdfs. All of the articles on the site are authored by myself. I may add an about me page if it becomes necessary (this site is mainly for my personal use). All of the articles can be found from the current page and all pdfs, mine or otherwise, can be found on the Papers tab. Add link to specific article about the site.
Articles are mainly sorted based on topic. The links below return articles only for their specific topic. Individual articles can be searched for via the search bar:
Uploaded on: {{article.upload_date}}
Article Category: {{article.article_category}}
{{article.article_description}}
{% endfor %}


VoiceInn is an internal project of YoungInnovations to provide an interactive telephony service with user friendly web interface. It includes three main telephony services - Vsurvey, Vboard and Vsupport. The modular feature of VoiceInn allows client to take service they need and also provide a customizable feature as required.
Normally telephone service with IVR supports incoming call only but VoiceInn provides inbound as well as outbound call IVR. Outbound call can be set immediately as well as can be scheduled to a single or multiple numbers at once. Any changes made by client after login will take instant effect in telephone application after it is saved.
Services
Vsurvey - is a voice survey unlike normal survey in form.
Clients create voice survey from web interface by uploading audio file or recording from web page. When they have done uploading audio questions they have to make a dialplan by arranging the questions. There are two methods of getting response from survey participants - either by audio answer or by dialing digit from keypad of phone set.
Response can be collected from participants either by receiving call from participants or by calling the participants. The system can call participants individually as well as in a group.
Vboard - is a Noticeboard service.
Clients can broadcast noticeboard by recording from phone or uploading audio file from VoiceInn website. When clients set broadcast then it becomes effective. Broadcast can be scheduled at any time in the future. Unlike other noticeboard services it supports outbound calls as well.
Vsupport - is a voice support service.
Users call to a support number and record complaints/ queries. For those who want to get instant support there is a live operator forward option. If first operator needs help to solve users’ complains, s/he can add other individuals and can make it as conference call or s/he can simply forward the call to other relevant numbers. All queries and complains appear in support dashboard for further followups.
VoiceInn Components
Asterisk, adhearsion and flask are the major components used to build VoiceInn. Asterisk, is a communication server, handles all kinds of telephone functionalities whereas adhearsion, is a telephone application framework, that control calls dialplan. Flask, a web microframework build in python, is used to make user interface.
VoiceInn Architecture
Call channels (SIP trunk, PSTN, E1) are connected to asterisk from telecom providers. The calls are asynchronously transferred to adhearsion application through a Asterisk Manager Interface(AMI) connection. Then all the call flows are controlled by adhearsion callcontroller.
Each call logs and activity logs are stored in MySQL database from asterisk, adhearsion and flask. Open DataBase Connectivity(ODBC) is used to store Call Details Report (CDR) in database from asterisk. Except CDR, all call logs are handled by adhearsion and stored in database. Both telephone system and web interface (Flask) share same database. So any changes from client dashboard directly affects telephone call flow. Beside same database, Some APIs are used to connect application with client web UI. Handler handles all kind of APIs and parse data. This handler is primarily used for originating outbound call from client UI.
Different APIs are handled by API handler. If there is an API request for a single call then it immediately sends a request to originate call. If call request is more than one then it checks for time of call. If time is immediate then call takes place, or else handler starts scheduler. Queue handler makes queue for multiple call before sending requests to originate call to asterisk through adhearsion.
Adhearsion has very flexible call controller to handle calls. Incoming as well as outgoing calls are routed by router to a specific callcontroller. Each controller has ability to include other controllers. In this case call can be passed to included call controller and returns to original controller after execution is completed. And also call can pass to other call controller with parameter.
VoiceInn has modular call controllers for each service and feature. So that services and features can be enabled and disabled according to clients’ need. Individual client maintains his/her own set of available features. For instance, a client can use only Vboard service with inbound and outbound call feature.


TechBlog Part1
week 2
Design and structural features wishlist
- a side bar (nav?)
- background pattern
- rounded boxes
Can you think of an analogy to describe HTML, CSS and the DOM? How would you describe it to your non-technical friend?
I would maybe use the analogy of a house. The html is the basic structure of a webpage and has different parts to it, much the same as framing gives the house its basic structure and is comprised of different patrs too - bedrooms, kitchen, bathrooms etc.
CSS styles a webpage and defines how it looks - colors, shapes, positions of different elements. Not every webpage is decorated the same and neither is every house. So with a house that would be like whether you want paint or wallpaper on the walls, carpet or tiles on the floor and what colors you would want to use.
The DOM (Document Object Model) is an program that shows the structure of a webpage and can access and manipulate it. This would be like the house plans on the Architects computer. It shows all of the house, and they can make changes to it and immediately see what it will look like with those changes incorporated.
What is meant by boxifying design?
If you get a web design brief the first thing you do is boxify it. A webpage is made up of boxes and thinking in terms of boxes makes life alot easier. When we boxify a design we draw a box around every visual element, starting with the biggest box you can see and working toward smaller boxes.
What is the box model?
 The box model is a box that wraps around every html element, allows us to define space between elements and comprises of four things;
- Margins - an empty area seperating the element from its neighbours.
- Borders - a border that goes around padding and content.
- Padding - the area between the content and border.
- Content - contains the actual content, text and images.


class TextMatcher
A parser used to parse emoji's, mentions, and urls
pageTitleRetriever
- the class used to grab the page titles from the provided links.
TextMatcher(pageTitleRetriever: PageTitleRetriever)
Creates a TextMatcher |
var pageTitleRetriever: PageTitleRetriever |
fun parseEmojis(input: String): List<String>
only need to consider 'custom' emoji which are alphanumeric strings, no longer than 15 |
|
fun parseMentions(input: String): List<String>
A way to mention a user. Always starts with an '@' and ends when hitting a non-word character. |
|
fun parseUrls(input: String, callback: LinksCallback): Unit
Links - Any URLs contained in the message, along with the page's title. |


AudioDidact\DB\MongoDBDAL
Synopsis
class MongoDBDAL
extends DAL
{
- // Inherited members from DAL
- protected static PDO $PDO;
- // methods
- public void __construct()
- public User getUserByID()
- private User setUser()
- public void addUser()
- private void makeUserArrayMongo()
- public mixed addVideo()
- private void makeVideoArrayMongo()
- public mixed updateVideo()
- public mixed setFeedText()
- public void updateUser()
- public void updateUserPassword()
- public void updateUserEmailPasswordCodes()
- public mixed getFeed()
- private Video setVideo()
- public mixed getFullFeedHistory()
- public User getUserByUsername()
- public User getUserByWebID()
- public User getUserByEmail()
- public mixed makeDB()
- public void verifyDB()
- public array getPrunableVideos()
- // Inherited methods from DAL
- public abstract User getUserByID()
- public abstract mixed getFullFeedHistory()
- public abstract void addUser()
- public abstract mixed addVideo()
- public abstract mixed updateVideo()
- public abstract mixed setFeedText()
- public abstract void updateUser()
- public abstract void updateUserPassword()
- public abstract void updateUserEmailPasswordCodes()
- public bool inFeed()
- public abstract mixed getFeed()
- public bool usernameExists()
- public abstract User getUserByUsername()
- public bool webIDExists()
- public abstract User getUserByWebID()
- public bool emailExists()
- public abstract User getUserByEmail()
- public abstract mixed makeDB()
- public abstract mixed verifyDB()
- public abstract mixed getPrunableVideos()
Hierarchy
Extends
Coverage
| Methods | 0% | 0 / 21 |
| Lines | 0% | 0 / 177 |
Members
Methods
private
- makeUserArrayMongo()
- makeVideoArrayMongo()
- setUser() — Makes a new user object from a database select command.
- setVideo() — Makes a new video object from a database select command.
public
- __construct() — MongoDBDAL constructor.
- addUser() — Puts user into the database
- addVideo() — Adds video into the video database for a specific user
- getFeed() — Gets all the videos from the database in the user's current feed limited by the max number of items the user has set
- getFullFeedHistory() — Gets all the videos from the database
- getPrunableVideos() — Returns an array of video IDs that can be safely deleted
- getUserByEmail() — Returns User class built from the database
- getUserByID() — Returns User class built from the database
- getUserByUsername() — Returns User class built from the database
- getUserByWebID() — Returns User class built from the database
- makeDB() — Sets up any database necessary
- setFeedText() — Sets feed xml text for a user
- updateUser() — Updates user entry in the database
- updateUserEmailPasswordCodes() — Updates only a user's email verification and password recovery codes in the database
- updateUserPassword() — Updates only a user's password in the database
- updateVideo() — Updates an existing video in the video database for a specific user
- verifyDB()
Inherited from AudioDidact\DB\DAL
public
- addUser() — Puts user into the database
- addVideo() — Adds video into the video database for a specific user
- emailExists() — Checks if an email is already in the database
- getFeed() — Gets all the videos from the database in the user's current feed limited by the max number of items the user has set
- getFullFeedHistory() — Gets all the videos from the database
- getPrunableVideos() — Returns an array of video IDs that can be safely deleted
- getUserByEmail() — Returns User class built from the database
- getUserByID() — Returns User class built from the database
- getUserByUsername() — Returns User class built from the database
- getUserByWebID() — Returns User class built from the database
- inFeed() — Default slow way to check if a video is in the feed. Override for faster lookup
- makeDB() — Sets up any database necessary
- setFeedText() — Sets feed xml text for a user
- updateUser() — Updates user entry in the database
- updateUserEmailPasswordCodes() — Updates only a user's email verification and password recovery codes in the database
- updateUserPassword() — Updates only a user's password in the database
- updateVideo() — Updates an existing video in the video database for a specific user
- usernameExists() — Checks if a username is taken in the database
- verifyDB() — Verifies the database
- webIDExists() — Checks if a webID is taken in the database


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