| Conference | Title | Authors |
|---|---|---|
| ICSE | A Tale from the Trenches: Cognitive Biases and Software Development | Souti Chattopadhyay, Oregon State University Nicholas Nelson, Oregon State University Audrey Au, Oregon State University Natalia Morales, Oregon State University Christopher Sanchez, Oregon State University Rahul Pandita, Phase Change Software Anita Sarma, Oregon State University |
| ICSE | An Empirical Study on Program Failures of Deep Learning Jobs | Ru Zhang, Microsoft Research Wencong Xiao, Alibaba Group Hongyu Zhang, University of Newcastle Yu Liu, Microsoft Research Haoxiang Lin, Microsoft Research Mao Yang, Microsoft Research |
| ICSE | Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code | Rafael-Michael Karampatsis, University of Edinburgh Hlib Babii, Free University of Bozen-Bolzano Romain Robbes, Free University of Bozen-Bolzano Charles Sutton, Google Research Andrea Janes, Free University of Bozen-Bolzano |
| ICSE | Context-aware In-process Crowdworker Recommendation | Junjie Wang, University of Chinese Academy of Sciences Ye Yang, Stevens Institute of Technology Song Wang, York University Yuanzhe Hu, University of Chinese Academy of Sciences Dandan Wang, University of Chinese Academy of Sciences Qing Wang, University of Chinese Academy of Sciences |
| ICSE | Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language? | Nischal Shrestha, NC State University Colton Botta, NC State University Titus Barik, Microsoft Chris Parnin, NC State University |
| ICSE | Time-travel Testing of Android Apps | Zhen Dong, National University of Singapore Marcel Böhme, Monash University Lucia Cojocaru, Politehnica University of Bucharest Abhik Roychoudhury, National University of Singapore |
| ICSE | Towards the Use of the Readily Available Tests from the Release Pipeline as Performance Tests. Are We There Yet? | Zishuo Ding, Concordia University Jinfu Chen, Concordia University Weiyi Shang, Concordia University |
| ICSE | Translating Video Recordings of Mobile App Usages into Replayable Scenarios | Carlos Bernal-Cárdenas, William & Mary Nathan Cooper, William & Mary Kevin Moran, William & Mary Oscar Chaparro, William & Mary Andrian Marcus, The University of Texas at Dallas Denys Poshyvanyk, William & Mary |
| ICSE | Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning | Jieshan Chen, Australian National University Chunyang Chen, Monash University Zhenchang Xing, Australian National University Xiwei Xu, CSIRO Liming Zhu, Australian National University Guoqiang Li, Shanghai Jiao Tong University Jinshui Wang, Fujian University of Technology |
| ICSE | White-box Fairness Testing through Adversarial Sampling | Peixin Zhang, Zhejiang University Jingyi Wang, National University of Singapore Jun Sun, Singapore Management University Guoliang Dong, Zhejiang University Xinyu Wang, Zhejiang University Xingen Wang, Zhejiang University Jin Song Dong, National University of Singapore Ting Dai, Huawei International Pte. Ltd. |
| FSE | A Principled Approach to GraphQL Query Cost Analysis | Alan Cha, IBM Research Erik Wittern, IBM Guillaume Baudart, IBM Research James C. Davis, Purdue University Louis Mandel, IBM Research Jim A. Laredo, IBM Research |
| FSE | Boosting Fuzzer Efficiency: An Information Theoretic Perspective | Marcel Böhme, Monash University Valentin J.M. Manès, KAIST Sang Kil Cha, KAIST |
| FSE | Community Expectations for Research Artifacts and Evaluation Processes | Ben Hermann, Universität Paderborn Stefan Winter, Technische Universität Darmstadt Janet Siegmund, Technische Universität Chemnitz |
| FSE | Deep Learning Library Testing via Effective Model Generation | Zan Wang, Tianjin University Ming Yan, Tianjin University Junjie Chen, Tianjin University Shuang Liu, Tianjin University Dongdi Zhang, Tianjin University |
| FSE | Detecting Numerical Bugs in Neural Network Architectures | Yuhao Zhang, Peking University Luyao Ren, Peking University Liqian Chen, National University of Defense Technology Yingfei Xiong, Peking University Shing-Chi Cheung, The Hong Kong University of Science and Technology Tao Xie, Peking University |
| FSE | On Decomposing a Deep Neural Network into Modules | Rangeet Pan, Iowa State University Hridesh Rajan, Iowa State University |
| FSE | Testing Self-Adaptive Software with Probabilistic Guarantees on Performance Metrics | Claudio Mandrioli, Lund Univeristy Martina Maggio, Saarland University |
| ASE | Automating Just-In-Time Comment Updating | Zhongxin Liu, Zhejiang University |
| ASE | Broadening Horizons of Multilingual Static Analysis: Semantic Summary Extraction from C Code for JNI Program Analysis | Sungho Lee, Chungnam National University |
| ASE | ChemTest: An Automated Software Testing Framework for an Emerging Paradigm | Michael C. Gerten, Iowa State University James I. Lathrop, Iowa State University Myra B. Cohen, Iowa State University Titus H. Klinge, Drake University |
| ASE | Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance | Hung Viet Pham, University of Waterloo Shangshu Qian, Purdue University Jiannan Wang, Purdue University Thibaud Lutellier, University of Waterloo Jonathan Rosenthal, Purdue University Lin Tan, Purdue University Yaoliang Yu, University of Waterloo Nachiappan Nagappan, Microsoft Research |
| ASE | Scalable Multiple-View Analysis of Reactive Systems via Bidirectional Model Transformations | Christos Tsigkanos, TU Wien Nianyu Li, Peking University Zhi Jin, Peking University Zhenjiang Hu, Peking University Carlo Ghezzi, Politecnico di Milano |
| ASE | Summary-Based Symbolic Evaluation for Smart Contracts | Yu Feng, University of California, (Santa Barbara) |
| ASE | Team Discussions and Dynamics During DevOps Tool Adoptions in OSS Projects | Likang Yin, University of California (Davis) Vladimir Filkov, University of California (Davis) |
| ISSTA | Effective White-box Testing of Deep Neural Networks with Adaptive Neuron-Selection Strategy | Seokhyun Lee, Korea University Sooyoung Cha, Korea University Dain Lee, Korea University Hakjoo Oh, Korea University |
| ISSTA | Scalable Analysis of Interaction Threats in IoT Systems | Mohannad Alhanahnah, University of Nebraska–Lincoln Clay Stevens, University of Nebraska–Lincoln Hamid Bagheri, University of Nebraska–Lincoln |
| ISSTA | Abstracting Failure-Inducing Inputs | Rahul Gopinath, CISPA Helmholtz Center for Information Security Alexander Kampmann, CISPA Helmholtz Center for Information Security Nikolas Havrikov, CISPA Helmholtz Center for Information Security Ezekiel O. Soremekun, CISPA Helmholtz Center for Information Security Andreas Zeller, CISPA Helmholtz Center for Information Security |
| ISSTA | Reinforcement Learning Based Curiosity-driven Testing of Android Applications | Minxue Pan, Nanjing University An Huang, Nanjing University Guoxin Wang, Nanjing University Tian Zhang, Nanjing University Xuandong Li, Nanjing University |


Biocur1851.github.io
View and Download Hangar 9 Van’s RV-4 instruction manual online. ARF 30cc. Van’s RV-4 Toy pdf manual download. ARF 30cc. Van’s RV-4 Toy pdf manual download. The Hangar 9® Van's RV-4 30cc ARF has been designed to make every step of your giant-scale experience as hassle-free as possible. It all starts with the assembly. The two-piece plug-in Horizon Hobby Hangar 9 Van's RV-4 30cc ARF - Model Aviation magazine. Giant-Scale Van’s RV-4 Master Modellbauer und Designer Ali Machinchy hat mit viel Liebe zum Detail diese Van’s RV-4Replika für 30cc umgesetzt. Horizon Hobby Hangar 9 Van's RV-4 30cc - RCGroups Review Horizon Hobby Master Designer Ali Machinchy has created a Giant Scale RV-4 ARF for Hangar9. Join Mike McDougall as he tackles the build and then wrings
Horizon Hobby Hangar 9 Van's RV-4 30cc - RCGroups Review.
Hangar 9 Van s RV-4 30cc 2160mm Giant-Scale Van’s RV-4 Master Modellbauer und Designer Ali Machinchy hat mit viel Liebe zum Detail diese Van’s RV-4Replika für 30cc umgesetzt. HANGAR 9 VAN´S RV-4 30CC ARF GIANT SCALE Sport Scale. Hangar 9 Van s RV-4 30cc 2160mm - der-schweighofer.de. Read more about the Horizon Hobby Hangar 9 Van's RV-4 30cc ARF in the June issue of Model Aviation magazine. Hangar 9 Van's RV-4 30cc Horizon Hobby. HANGAR 9 VAN’S RV-4 INSTRUCTION MANUAL Pdf Download. Hangar 9 Van’S Rv-4 30Cc Arf Bedienungsanleitung. Among the hundreds of homebuilt aircraft designs that have taken flight over the years, few inspire pilot devotion like the Van's RV line of airplanes.


{% extends 'base.html' %} {% load bootstrap3 %} {% block page_title %}Book details{% endblock page_title %} {% block content %}
MessageMixin
and UniqueModelFieldsMixin
.
Try setting the title to the name of an existing book, e.g. 'Five Go Adventuring Again' or 'The Taming of the Shrew'.


| addtwitch |
Adds a Twitch username to keep track of. Maximum 2 Twitch channels per server. |
%addtwitch (twitch username) |
|
| listtwitch |
List the twitch channels the server follows. |
%listtwitch |
|
| removetwitch |
Removes a twitch username that is being kept track of. |
%removetwitch (twitch username) |
|
| settwitchchannel |
Set the discord channel that the twitch announcements will be posted on. |
%settwitchchannel [#text channel] |
|
| settwitchrole |
Set the discord role that will be mentioned on twitch announcements. If a discord role is set, everyone will not be mentioned. Use the command without a role to mention everyone. |
%settwitchrole [@role] |
|


| pgpool-II 4.0.3 Documentation | |||
|---|---|---|---|
| Prev | Up | Chapter 1. Getting Started | Next |
In this section we are going to explain how to manage a PostgreSQL cluster with streaming replication using Pgpool-II, which is one of most common setup.
Before going further, you should properly set up pgpool.conf with streaming replication mode. For this at least following two directives must be set:
master_slave_mode = on master_slave_sub_mode = 'stream'
If you plan to use pgpool_setup, type:
pgpool_setup
This will create a Pgpool-II with streaming replication mode installation, primary PostgreSQL installation, and a async standby PostgreSQL installation.
From now on, we assume that you use pgpool_setup to create the installation under current directory. Please note that the current directory must be empty before executing pgpool_setup.
To start the whole system, type:
./startall
Once the system starts, you can check the cluster status by issuing a pseudo SQL command called "show pool_node" to any of databases. pgpool_setup automatically creates "test" database. We use the database. Note that the port number is 11000, which is the default port number assigned to Pgpool-II by pgpool_setup.
$ psql -p 11000 -c "show pool_nodes" test node_id | hostname | port | status | lb_weight | role | select_cnt | load_balance_node | replication_delay ---------+----------+-------+--------+-----------+---------+------------+-------------------+------------------- 0 | /tmp | 11002 | up | 0.500000 | primary | 0 | false | 0 1 | /tmp | 11003 | up | 0.500000 | standby | 0 | true | 0 (2 rows)
The result shows that the "status" column is "up", which means the PostgreSQL is up and running, which is good.


A server-side redirect can be detected from a cross-origin page when the destination URL increase in size and reflects a user input, either in the form of a query string parameter or a path.
The following technique relies on the fact it is possible to induce an error in most web-servers by overloading the request parameters/path.
Since the redirect increases the size of the URL, it can be detected by sending exactly one character less than the server maximum capacity, that way, if the size increases the server will respond with an error code which can be detected from a cross-origin page using common DOM APIs.


--- layout: default title: Home ---
My Moto: Learn, implement and iterate.
Senior Software Developer
Comcast
Apr 2016 - Present
Working on the sales portal platform of Comcast Cable division.


Post Build Management Threshold, allows zap to define if a build is flagged as passed, failed or unstable. Threshold value stand for the weight of each alert severity Soft value is threshold of each alert severity Cumulative value is the threshold of the all build The build goes unstable when we are under the soft or cumulative value The build goes failed when we are under the soft and cumulative value


--- layout: example.html title: Map Name Example shortdesc: Demonstrates how to change the name of a map. docs: >


{% extends '_layouts/layout.html' %} {% block page_title %} {% endblock %} {% block content %} Your answers suggest you should dial 999 now for an ambulance
Change my previous answer


--- title: Library Versioning layout: post ---
Libraries should be versioned and packaged such that they are easy to use over time, and in combination. The best way I have found to do this is to abide by three rules:
- Use APR versioning
- Re-namespace on major version changes
- Change the artifact ID on major version changes
Sage wisdom from a true warrior.


---
layout: default
title: Philip Jagielski
---
Blog Posts
{% for post in site.posts %}
{% comment %}
Jekyll will still publish content with `private: true` set in the front matter, but not link to it
from the index or atom feed. I use this to have people review posts before I publish them.
{% endcomment %}
{% unless post.private %}
- {{ post.date | date_to_string }} »{{ post.title }}
{% endunless %}
{% endfor %}


Last Week in ManageIQ: Squashing Bugz
Hello there! This is Harpreet Kataria, my first contribution at LWIMIQ blog post, I want to share some updates on what has been happening in ManageIQ world this past week. Team ManageIQ has been busy squashing bugz rapidly to make Fine release finer and more stable. After all bugz are bugz and must be squashed.
Count/List of PRs merged in all repos in LWIMIQ:
- 56 - ManageIQ/manageiq
- 59 - ManageIQ/manageiq-ui-classic
- 29 - ManageIQ/manageiq-ui-service
- 10 - ManageIQ/manageiq-providers-amazon
- 2 - ManageIQ/manageiq-providers-azure
- 6 - ManageIQ/manageiq-providers-vmware
Keep up the good work!
Improvements
Each week we strive to make ManageIQ better and better. Last week Šimon made some changes to make improvements in the seeding methods.
Šimon Do not run certain seeds twice (#14725) & (#14726)
Šimon Speed up certain seeding methods (#14721) & (#14712)
Squashing Bugz
With the amount of new features introduced in last few sprints into ManageIQ, it is possible that we introduced new bugz as well as existing bugz were discovered.
Several fixes were made in Embedded Ansible area and Ansible Services area, see list of PRs in manageiq-ui-classic & manageiq repos for full details on these.
MartinH made performance improvements with Notifications (#611)
Brian Fix Group/Role name links on User Details page (#655)
Aparna Quadicon links fixed on Tagging edit screen (#1041)
Zahi Add Container entities to TAG_CLASSES (#14535)
There were many more bugz that were fixed last week, please see complete list of merged PRs in each repo for more details.
Features
While all our developers are heads down with squashing bugz some of us managed to squeeze in some minor Enhancements this past week.
Jillian has added API support for Refresh Configuration Script Sources action (#14714).
James Added support to pickup Tower Project’s refresh status (#14687).
Milan added UI support for Embedded Ansible refresh (#934)
MartinP Custom buttons for list views (#796)
Joshua SUI - Show all custom actions vs collapsing to single dropdown (#669)
Allen SUI - Power buttons vm details (#635)
Cleanup
Aside from some new additions & lots of bug fixing, we also deleted some unwanted code from our repos.
MartinP Remove duplicate flash_msg_div (#1015) & (#1016)
Brandon Removal of unsused Global Variables from manageiq-ui-classic repo (#969)
Roman Removed unused & invalid provider documentation link (#1002)
Tzu-Mainn Remove code that creates phantom object when creating Cloud Volume & Tenant (#14766)
Jozef Removing unused host trait (#14598)
Nimrod Removed duplicate report (#14515)
Wrapping up
That’s all I have to share with you folks. Stay tuned for next week’s LWIMIQ post, by Drew.


Example
This example uses a user-defined operation to produce a segmented scan. A segmented scan takes, as input, a set of values and a set of logicals, and the logicals delineate the various segments of the scan. For example:
The operator that produces this effect is,
where,
Note that this is a non-commutative operator. C code that implements it is given below.
typedef struct { double val; int log; } SegScanPair;Note that the inout argument to the user-defined function corresponds to the right-hand operand of the operator. When using this operator, we must be careful to specify that it is non-commutative, as in the following./* the user-defined function */ void segScan( SegScanPair *in, SegScanPair *inout, int *len, MPI_Datatype *dptr ) { int i; SegScanPair c;
for (i=0; i< *len; ++i) { if ( in->log == inout->log ) c.val = in->val + inout->val; else c.val = inout->val; c.log = inout->log; *inout = c; in++; inout++; } }
int i,base; SeqScanPair a, answer; MPI_Op myOp; MPI_Datatype type[2] = {MPI_DOUBLE, MPI_INT}; MPI_Aint disp[2]; int blocklen[2] = { 1, 1}; MPI_Datatype sspair;/* explain to MPI how type SegScanPair is defined */ MPI_Address( a, disp); MPI_Address( a.log, disp+1); base = disp[0]; for (i=0; i<2; ++i) disp[i] -= base; MPI_Type_struct( 2, blocklen, disp, type, &sspair ); MPI_Type_commit( &sspair ); /* create the segmented-scan user-op */ MPI_Op_create( segScan, False, &myOp ); ... MPI_Scan( a, answer, 1, sspair, myOp, root, comm );


SpaceX API
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Launch History
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An example-based unit testing library like ExUnit is a wonderful tool to help you verify that your code works the way you think it does. However, example-based unit tests have some drawbacks:
- It can be easy to miss edge cases, since you’re only testing a few inputs.
- You can write these tests without thinking through your requirements thoroughly.
- These tests can be very verbose when you use several examples for one function.
In this lesson we’re going to explore how StreamData can help us overcome some of these drawbacks.
Table of Contents
What is StreamData?
StreamData is a library that performs stateless property-based testing.
The StreamData library will run each test 100 times by default, using random data each time. When a test fails, StreamData will try to shrink the input to the smallest value that causes the test failure. This can be helpful when you have to debug your code! If a 50-element list causes your function to break, and only one of the list elements is problematic, StreamData can help you identify the offending element.
This testing library has two main modules.
StreamData
generates streams of random data.
ExUnitProperties
lets you run tests against your functions, using the generated data as your input.
You might be asking how you can say anything meaningful about a function if you don’t know what your exact inputs are. Read on!
Installing StreamData
First, create a new Mix project. Refer to New Projects if you need some help.
Second, add StreamData as a dependency to your mix.exs
file:
defp deps do
[{:stream_data, "~> x.y", only: :test}]
end
Just replace x
and y
with the version of StreamData shown in the library’s installation instructions.
Third, run this from the command line of your terminal:
mix deps.get
Using StreamData
To illustrate the features of StreamData, we’ll write a few simple utility functions that repeat values.
Let’s say we want a function like String.duplicate/2
, but one that will duplicate strings, lists, or tuples.
Strings
First, let’s write a function that duplicates strings. What are some requirements for our function?
- The first argument should be a string. This is the string that we’ll duplicate.
- The second argument should be a non-negative integer. It shows how many times we’ll duplicate the first argument.
- The function should return a string. This new string is just the original string, repeated zero or more times.
- If the original string is empty, the returned string should also be empty.
- If the second argument is
0
, the returned string should be empty.
When we run our function, we want it to look like this:
Repeater.duplicate("a", 4)
# "aaaa"
Elixir has a function, String.duplicate/2
that will handle this for us.
Our new duplicate/2
will just delegate to that function:
defmodule Repeater do
def duplicate(string, times) when is_binary(string) do
String.duplicate(string, times)
end
end
The happy path should be easy to test with ExUnit.
defmodule RepeaterTest do
use ExUnit.Case
describe "duplicate/2" do
test "creates a new string, with the first argument duplicated a specified number of times" do
assert "aaaa" == Repeater.duplicate("a", 4)
end
end
end
That’s hardly a comprehensive test, though.
What should happen when the second argument is 0
?
What should the output be when the first argument is an empty string?
What does it even mean to repeat an empty string?
How should the function work with UTF-8 characters?
Will the function still work with large input strings?
We could write more examples to test edge cases and large strings. However, let’s see if we can use StreamData to test this function more rigorously without much more code.
defmodule RepeaterTest do
use ExUnit.Case
use ExUnitProperties
describe "duplicate/2" do
property "creates a new string, with the first argument duplicated a specified number of times" do
check all str <- string(:printable),
times <- integer(),
times >= 0 do
assert ??? == Repeater.duplicate(str, times)
end
end
end
end
What does that do?
- We replaced
test
withproperty
. This lets us document the property we’re testing. check/1
is a macro that allows us to set up the data we’ll use in the test.StreamData.string/2
generates random strings. We can omit the module name when callingstring/2
becauseuse ExUnitProperties
imports StreamData functions.StreamData.integer/0
generates random integers.times >= 0
is kind of like a guard clause. It ensures that the random integers we use in our test are greater than or equal to zero.SreamData.positive_integer/0
exists, but it’s not quite what we want, since0
is an acceptable value in our function.
The ???
is just some pseudocode I added.
What exactly should we assert?
We could write:
assert String.duplicate(str, times) == Repeater.duplicate(str, times)
…but that just uses the actual function’s implementation, which isn’t helpful. We could loosen up our assertion by only verifying the length of the string:
expected_length = String.length(str) * times
actual_length =
str
|> Repeater.duplicate(times)
|> String.length()
assert actual_length == expected_length
That’s better than nothing, but it’s not ideal. This test would still pass if our function generated random strings of the correct length.
We really want to verify two things:
- Our function generates a string of the right length.
- The contents of the final string are the original string repeated over and over again.
This is just another way of rephrasing the property. We already have some code to verify #1. To verify #2, let’s split the final string by the original string, and verify that we are left with a list of zero or more empty strings.
list =
str
|> Repeater.duplicate(times)
|> String.split(str)
assert Enum.all?(list, &(&1 == ""))
Let’s combine our assertions:
defmodule RepeaterTest do
use ExUnit.Case
use ExUnitProperties
describe "duplicate/2" do
property "creates a new string, with the first argument duplicated a specified number of times" do
check all str <- string(:printable),
times <- integer(),
times >= 0 do
new_string = Repeater.duplicate(str, times)
assert String.length(new_string) == String.length(str) * times
assert Enum.all?(String.split(new_string, str), &(&1 == ""))
end
end
end
end
When we compare that with our original test, we see that the StreamData version is twice as long. However, by the time you add more test cases to the original test…
defmodule RepeaterTest do
use ExUnit.Case
describe "duplicating a string" do
test "duplicates the first argument a number of times equal to the second argument" do
assert "aaaa" == Repeater.duplicate("a", 4)
end
test "returns an empty string if the first argument is an empty string" do
assert "" == Repeater.duplicate("", 4)
end
test "returns an empty string if the second argument is zero" do
assert "" == Repeater.duplicate("a", 0)
end
test "works with longer strings" do
alphabet = "abcdefghijklmnopqrstuvwxyz"
assert "#{alphabet}#{alphabet}" == Repeater.duplicate(alphabet, 2)
end
end
end
…the StreamData version is actually shorter. StreamData also covers edge cases a developer might forget to test.
Lists
Now, let’s write a function that repeats lists. We want the function to work like this:
Repeater.duplicate([1, 2, 3], 3)
# [1, 2, 3, 1, 2, 3, 1, 2, 3]
Here is a correct, but somewhat inefficient, implementation:
defmodule Repeater do
def duplicate(list, 0) when is_list(list) do
[]
end
def duplicate(list, times) when is_list(list) do
list ++ duplicate(list, times - 1)
end
end
A StreamData test might look like this:
defmodule RepeaterTest do
use ExUnit.Case
use ExUnitProperties
describe "duplicate/2" do
property "creates a new list, with the elements of the original list repeated a specified number or times" do
check all list <- list_of(term()),
times <- integer(),
times >= 0 do
new_list = Repeater.duplicate(list, times)
assert length(new_list) == length(list) * times
if length(list) > 0 do
assert Enum.all?(Enum.chunk_every(new_list, length(list)), &(&1 == list))
end
end
end
end
end
We used StreamData.list_of/1
and StreamData.term/0
to create lists of random length, whose elements are any type.
Like the property-based test for repeating strings, we compare the length of the new list with the product of the source list and times
.
The second assertion takes some explaining:
- We break the new list apart into several lists, each of which has the same number of elements as
list
. - We then verify that each chunked list is equal to
list
.
To put it differently, we make sure that our original list appears in the final list the right number of times, and that no other elements show up in our final list.
Why did we use the conditional?
The first assertion and the conditional combine to tell us that the original list and the final list are both empty, so there is no need to do any more list comparison.
Moreover, Enum.chunk_every/2
requires the second argument to be positive.
Tuples
Finally, let’s implement a function that repeats the elements of a tuple. The function should work like this:
Repeater.duplicate({:a, :b, :c}, 3)
# {:a, :b, :c, :a, :b, :c, :a, :b, :c}
One way we could approach this is to convert the tuple to a list, duplicate the list, and convert the data structure back to a tuple.
defmodule Repeater do
def duplicate(tuple, times) when is_tuple(tuple) do
tuple
|> Tuple.to_list()
|> Repeater.duplicate(times)
|> List.to_tuple()
end
end
How might we test this? Let’s approach it a bit differently than we’ve done so far. For strings and lists, we asserted something about the length of the final data, and we asserted something about the contents of the data. Trying the same approach with tuples is possible, but the test code may not be as straightforward.
Consider two sequences of operations you could perform on a tuple:
- Call
Repeater.duplicate/2
on the tuple, and convert the result to a list - Convert the tuple to a list, and then pass the list to
Repeater.duplicate/2
This is an application of a pattern that Scott Wlaschin calls “Different Paths, Same Destination”. I would expect both of these sequences of operations to yield the same result. Let’s use that approach in our test.
defmodule RepeaterTest do
use ExUnit.Case
use ExUnitProperties
describe "duplicate/2" do
property "creates a new tuple, with the elements of the original tuple repeated a specified number of times" do
check all t <- tuple({term()}),
times <- integer(),
times >= 0 do
result_1 =
t
|> Repeater.duplicate(times)
|> Tuple.to_list()
result_2 =
t
|> Tuple.to_list()
|> Repeater.duplicate(times)
assert result_1 == result_2
end
end
end
end
Summary
We now have three function clauses that repeat strings, list elements, and tuple elements. We have some property-based tests that give us a high degree of confidence that our implementation is correct.
Here is our final application code:
defmodule Repeater do
def duplicate(string, times) when is_binary(string) do
String.duplicate(string, times)
end
def duplicate(list, 0) when is_list(list) do
[]
end
def duplicate(list, times) when is_list(list) do
list ++ duplicate(list, times - 1)
end
def duplicate(tuple, times) when is_tuple(tuple) do
tuple
|> Tuple.to_list()
|> Repeater.duplicate(times)
|> List.to_tuple()
end
end
Here are the property-based tests:
defmodule RepeaterTest do
use ExUnit.Case
use ExUnitProperties
describe "duplicate/2" do
property "creates a new string, with the first argument duplicated a specified number of times" do
check all str <- string(:printable),
times <- integer(),
times >= 0 do
new_string = Repeater.duplicate(str, times)
assert String.length(new_string) == String.length(str) * times
assert Enum.all?(String.split(new_string, str), &(&1 == ""))
end
end
property "creates a new list, with the elements of the original list repeated a specified number or times" do
check all list <- list_of(term()),
times <- integer(),
times >= 0 do
new_list = Repeater.duplicate(list, times)
assert length(new_list) == length(list) * times
if length(list) > 0 do
assert Enum.all?(Enum.chunk_every(new_list, length(list)), &(&1 == list))
end
end
end
property "creates a new tuple, with the elements of the original tuple repeated a specified number of times" do
check all t <- tuple({term()}),
times <- integer(),
times >= 0 do
result_1 =
t
|> Repeater.duplicate(times)
|> Tuple.to_list()
result_2 =
t
|> Tuple.to_list()
|> Repeater.duplicate(times)
assert result_1 == result_2
end
end
end
end
You can run your tests by entering this on your terminal’s command line:
mix test
Remember that each StreamData test you write will run 100 times by default. Additionally, some of StreamData’s random data takes longer to generate than others. The cumulative effect is that these types of tests will run more slowly than example-based unit tests.
Even so, property-based testing is a nice complement to example-based unit testing. It allows us to write succinct tests that cover a wide variety of inputs. If you don’t need to maintain state between test runs, StreamData offers a nice syntax to write property-based tests.
Caught a mistake or want to contribute to the lesson? Edit this page on GitHub!


@*
* Copyright 2020 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.play.views.html.helpers
@import uk.gov.hmrc.play.views.html.helpers.{errorSummary => summary}
@import config.AppConfig
@import models.auth.User
@import templates.inputs.moneyInput
@import templates.formatters.dates.displayDate
@import templates.formatters.navigationBreadcrumb
@import templates.formatters.dates.displayDateRange
@(periodKey: String,
clientName: Option[String],
flatRateScheme: Boolean,
obligation: VatObligation,
form: Form[NineBoxModel],
isAgent: Boolean,
btaLinkContent: Html = HtmlFormat.empty)(implicit request: Request[_], messages: Messages, appConfig: AppConfig,
user: User[_], lang: Lang)
@boxRow(divID: String, formID: String, boxTitle: String, boxDescription: String, boxAmount: String) = {


doc_title = "Networking Libraries" doc_next = '' """ Canonical_Represenation in the string "G/Y" """ {% extends doc.html %} {% block doc %}
Aspen supports the following networking libraries. However, they vary slightly in their implementation of the WSGI spec. This document describes the differences.


Password
Confirm Password
Phone Number
How did you hear about us?
Example invalid custom select feedback
You must agree before submitting.
{% extends "layout.html" %}
{% block title %}
Register
{% endblock %}
{% block main %}


Arc Warden
Tips
- Flux fully stacks with itself. Assuming neither cast gets muted, that's 780 magic damage over 6 seconds.
- Manipulate creep aggro to get good Fluxes in lane. The search radius for muting Flux is 225, which is pretty small.
Right click an enemy hero to attract their creeps towards you and then Flux 'em. Just don't forget to kill their
ranged creep first.
- Enemies can't see the AoE of Spark Wraiths if the Wraith itself is in fog. Plant Wraiths on cliffs or in trees.
- Spark Wraiths trigger on invis and Smoked units.
- You don't need to fully envelope a tower to give it the bonus attack speed and evasion. Place the bubble in a way
that just barely skims the back of the tower so enemies can't easily stand in it and bypass the evasion.
- At Necro 3, both the Archer and the Warrior give 200 gold each and 200 experience each. If those numbers mean
nothing to you, know that Midasing the big creep in a hard camp gives ~300 exp. So while you're turbo leveling with
the Double's Midas, you're also handing the enemy a ton of experience every time you kamikaze your Doubled Necro creeps.
- However, if Necro creeps time out they won't give any experience (this is true for all summons).
- Interactions with various items on the Double:
- Items with charges (Urn, Diffusal, Drum, Tango, Bottle, TP, BKB's CD, etc.) copy the Original's charges.
- Doubles cannot copy Aegis, Cheese, Courier, Wards, Tome, Gem, Rapier, or Smoke. It can copy Refresher, but
it can't activate it.
- A Double dying with a Bloodstone won't heal allies.
- Doubles cannot pick up or Bottle runes. If you have a rune Bottled, it'll just have a full bottle on cast.
- Doubles cannot pick up or drop items.
- So what can you do with items?
- It's almost always worth spending a slot on your hero with some sort of regen consumable. Salve, Mango, Bottle with at
least 1 charge. Let your Double nourish you.
- Midas is considered core since the item effectively has a 2x multiplier on Zet. Once you hit 16 (or earlier) you should
probably avoid spamming Double for the Midas and save it for a fight/objective.
- Double Shivas' is basically 400 magic damage in a 900 radius. The slow and aura don't stack, however.
- As stated earlier, double Necrobooks is/was a very common build on Zet.
- Manta can be a safer and more versatile pushing/DPS build. Remember, he's an AGI hero and You+Double+Four illusions under
two Magnetic Fields can dole out some serious damage.
- In 6.87, the stack duration for Pipe of Insight's Barrier was removed, meaning your team can benefit from the Pipe active as
often as you have the item available. Then again I'd only recommend building Pipe on Arc if you're against a Zeus, Sand King,
Leshrac, KotL, Tinker team or something.
- Interestingly, Mek has a 25 second stack limit duration against its 65 second cooldown. I... I don't think MekZet is a good
idea yet, but I am intrigued.
- A double Dagon 5 can deal 1600 magic damage from 800 range. It can also be completely nullified by someone building BKB.
- The debuff from Medallion/Solar Crest does not stack if cast on the same enemy, but it's still an item worth
considering.
Counters
- For the love of god, please stand next to an ally if they're Fluxed and you're nearby. Arc Warden is pretty much 99% single
target damage. If you jump into the mix to save an ally he's probably not going to even touch you. This is highly relevant when
going for runes.
- Flux can be muted by standing next to neutral creeps.
- MKB won't help you hit buildings affected by Magnetic Field.
- Magnetic Field won't provide any evasion to enemies (heroes or buildings) if you're attacking from inside the Field.
- Spark Wraiths cannot be disjointed. Think of it like Skywrath's Arcane Bolt since it also provides vision as it travels towards you.
- Once he gets Tempest Double up and running with Midas, Zet will be spending a lot of his time cycling around neutral camps while his Double
pushes lanes. It's a running joke, but warding his jungle really is one of the best ways to slow down Arc Warden. Find him and kill him,
block his camps, or just take his jungle over and hem him out.
- You really need AoE damage to deal with the way most Arc Warden's build. Zet's all about tossing expendable bodies at your structures
until you lose. If you don’t have any good AoE spells, consider building items like Maelstrom/Mjollnir, Battle Fury, Radiance, Veil, or
Shiva's Guard to deal with the onslaught.
- Spells treat the Double like a hero, not like an illusion. Except for interactions that occur when a hero dies, like Bloodstone or Track
or Duel. Those spells treat the Double like an illusion. Unless the Double wins a Duel. Then it actually can use the bonus damage.
Unlike an illusion. Hoo boy.
- Slark can Essence Shift and OD can INT steal from the Double.
- Rubick can steal Tempest Double and Rubick's Double can use Spell Steal as well.


Milestone 1 Report (2/1)
Major Changes
There have been some major changes to the project since the last meeting. I have decided to change my project overall. The project proposal is at the link at the top. This project is much different since the previous project and the details are outlined on the previous page. I decided to make this change because this new opportunity only came up recently and I felt as though I was much more passionate about this project than the previous one that I worked on.
 Furthermore, I worked to achieve the first milestone. The work that I have done so far is here. This is understanding the data and then simply animating each play to visually see what happens.
Meeting your Milestone
I have meet my milestone for this week.
Surprises
Since I have changed my project since the last meeting, there were no real suprises.
Looking Ahead
I plan on focusing on annotations for plays pre-snap through various machine learning techniques.
Revisions to Future Milestones
After the first week there are no revisions to my milestones so far.
Resources Needed
I do not need any resources for this next week.


{% extends 'base.html' %} {% block body %}
An email has been sent to the email you gave us to activate the account. In order to activate the account you must click the link in the email sent to you. Then you will be able to setup your profile and start using the website.
Email address email sent to: {{ users_email }}
If the email you have used is invalid then you need to make a new account. Don't worry, all the data you entered for the invalid account will be deleted between 24 and 48 hours after it was created. Please also note that you will have to wait till the end of this cooldown period if you want to create an account with the same username and password combination, as these have to be unique to every account.
{% endblock %}


WorxWare.com Sample Contact Us Form
Name
*
City
CityArr
CityArr
Email
*
Telephone
Home
Worx
Pager
Contact by
Telephone
Email
in Morning
in Afternoon
in Evening
Message
*
*
= required


This is Tony's Placeholder Page!
Currently in the Seattle University Web Development Certificate program. Come back later for an updated awesome portfolio page!
API Superstore
Akimbo
Email


View my Resume
Selected Projects
- Trendinator: A collaboration between @adamwrites, @kambiz-frounchi, and myself. Fetches top news stories and twitter trends based on your location, or in the country of your choice. Allows filtering by category and saving stories or topics to a bookmarks area. Makes use of the NewsAPI and Twitter API. Materialize for styling, and jQuery for the code - also uses Luxon for dates.
→Repo
- Groceteria: A collaboration between @tarazin, @mralimov, and myself. A grocery app allowing you to shop from the comfort of your own home. Allows searching for items, adding them to your cart, and (eventually) shipping to your home :) Uses Express, Handlebars, Sequelize and MySQL.
→Repo
- Vinyl Stock Checker: A tool to search if a vinyl record by catalogue number in a variety of stores. Javascript / jQuery for the front end, Python + Flask for the back end.
→Repo
- Weather Dashboard: Get a 5-day forecast for any city in the world - the page also stores your favourite cities locally for future use. Makes use of the OpenWeatherMap API. Written using jQuery, with Luxon for time functions and Bootstrap for the layout.
→Repo
- Password Generator: A useful little tool to generate strong passwords. Written in plain JavaScript, making use of Bootstrap.
→Repo
- Employee Directory: A searchable list of employees, sortable by first or last name. Created with React.
→Repo


| ip_results_to_json/1 | Converts the ip tuple for a JSON format suited for React. |
| ip_results_to_json_test/0* | |
| verify_address/1 | Verifies input is a valid network address. |
| verify_address_fullip_test/0* | |
| verify_address_stupid_test/0* | |
| verify_address_valid_test/0* |
ip_results_to_json(Results::[{inet:ip4_address(), scan_result()}]) -> binary()
Converts the ip tuple for a JSON format suited for React
ip_results_to_json_test() -> any()
verify_address(Network::binary()) -> [byte()]
Verifies input is a valid network address. Converts binary input to list output. For example, binary "<IP_ADDRESS>" returns "127.0.0.". This is consistent with input required for the scanner. The caller should catch exceptions.
verify_address_fullip_test() -> any()
verify_address_stupid_test() -> any()
verify_address_valid_test() -> any()
Generated by EDoc, Jul 1 2015, 06:35:28.


WHERE COULD LIFE EXIST?
MARS
Planet
Hopeful
- Its soil contains water to extract
- It isn’t too cold or too hot
- There is enough sunlight to use solar panels
Doubtful
- No ancient life found
- thin atmosphere
VENUS
Planet
Hopeful
- In the first 2 billion years of life, it could have been a different story
- Computer simulations show the planet could've had liquid water oceans
- Might also have been a habitable temperature to support forms of life
Doubtful
- uninhabitable hot planet
- thick atmosphere
- Aliens
EUROPA
Jupiter's Moon
Hopeful
- Water could exist under the surface layer of ice
- Tidal forces could generate heat in the oceans
- Volcano activity could help support the building blocks to sustain life


--- layout: home background: '/img/pto-icon.png' ---
These notes/posts accompany the videos from the {{ site.title| escape }} Youtube channel.
Are you looking to learn about data and seeing how data impacts the world? Then this is the course for you!
Coming Soon!
Coming sometime after soon!


Information about civilization
Information about Units
Information about Technologies
Information about Structures


---
layout : example
title : Autocomplete With Tags And Filter
example : autocomplete tags filter
id : autocomplete-with-tags-and-filter
---
{% include common.html %}
{% capture example_textarea %}
{% endcapture %}
{% capture example_script %}
{% endcapture %}
{% include live_demo.html %}


Wetator / Assert Selected from Javascript
SingleSelect
selected from javascript
SingleSelect selected by js
option1
option2
option3
option4
Checkbox
selected from javascript
CheckBox selected by js
CheckBox deselected by js
RadioButtonGroup
selection changed from javascript
Radio1
Radio2 selected by js


Browse the YouTube video collection.
list(id, part)
Browse the YouTube video collection. Args: id: string, YouTube IDs of the videos to be returned. (required) part: string, Parts of the video resource to be returned. (required) Returns: An object of the form: { # JSON template for a VideoService.List() response. "kind": "youtube#videoListResponse", # The type of this API response. "etag": "A String", # The eTag of the response. "videos": { # Map of videos matching the request criteria, keyed by video id. "a_key": { # JSON template for a YouTube Video. "status": { # JSON template for the status part of a video. # Status of the video upload, privacy status. "privacyStatus": "A String", # Privacy of the video. "uploadStatus": "A String", # Status of the video upload. "rejectionReason": "A String", # Present only if the uploadStatus indicates a rejected upload. "failureReason": "A String", # Present only if the uploadStatus indicates a failed upload. }, "kind": "youtube#video", # The type of this API resource. "statistics": { # JSON template for the statistics part of a video. # Statistics about the video: number of views, ratings. "commentCount": "A String", # Number of comments for this video. "viewCount": "A String", # Number of times the video was viewed. "favoriteCount": "A String", # Number of times the video was added to a user's favorites list. "dislikeCount": "A String", # Number of times the video was disliked. "likeCount": "A String", # Number of times the video was liked. }, "contentDetails": { # JSON template for the content details part of a video. # Information about the video content, media file. "duration": "A String", # Duration of the video. "aspectRatio": "A String", # The aspect ratio of the video. }, "snippet": { # JSON template for the snippet part of a video. # Basic details about the video: title, description, thumbnails. "thumbnails": { # Video thumbnails. "a_key": { # JSON template for a thumbnail. # The name of the thumbnail. "url": "A String", # The URL for the thumbnail. }, }, "tags": [ # Textual tags associated with the video. "A String", ], "channelId": "A String", # Channel the video was uploaded into. "publishedAt": "A String", # Date time the video was uploaded. "title": "A String", # Title of the video. "categoryId": "A String", # Video category the video belongs to. "description": "A String", # Description of the video. }, "player": { # JSON template for the player part of a video. # Information used to play the video. "embedHtml": "A String", # Iframe embed for the video. }, "etag": "A String", # The eTag of the video. "id": "A String", # The unique id of the video. }, }, }


Sequence Id: {{event.sequenceId}} Transaction Id: {{event.transactionId}} Created At: {{event.created | date:'medium'}} Created By: {{event.user.name}} Description: {{event.description}}


data class Gender : Parcelable
Represents a gender.
Gender(source: Parcel) Gender(id: Int)
Represents a gender. |
val id: Int
an integer identifier corresponding to a gender. 0 = male; 1 = female. |
fun describeContents(): Int |
|
fun getColorRes(): Int
Returns a color resource to use in the UI to represent with this gender. |
|
fun isFemale(): Boolean |
|
fun isMale(): Boolean |
|
fun writeToParcel(dest: Parcel, flags: Int): Unit |
val CREATOR: Creator<Gender> |
|
val FEMALE: Gender |
|
val MALE: Gender |


I tried Sinicuichi by itself a few months back. The stuff came in as a bag of dry leaf material that was shredded like confetti. To get an effect, I had to smoke a lot of it (4+ large cigarettes of it), but I got a very relaxed and happy feeling through the next day. My body felt really light and had a pleasant buzz, with no hang-overs or bad residual effects.  I also tried making a tea from a small amount of it (1-2tsp), but it tasted awful and gave me terrible diarrhea. I felt no effects from it other than a slight nausea.
I had pretty much given up on Sinicuichi until yesterday. I was experimenting with smoking a mix of Skullcap and Catnip. After three cigarettes, I was relaxed and kind of spacey - nothing spectacular. At that point I decided to add a little bit of the Heimia that had been sitting a the bottom of my draw for so long. I only added a few pinches, but the effect was immediate and intense. After 2 puffs, my mouth started to water, I felt slighly disoriented, then I felt an intense euphoria surge over my body. It was quite pleasurable and almost overwhelming. I enjoyed this feeling for 5 minutes, then decided to smoke another, this one with more Heimia mixed only with Scullcap. The buzz continued, but my hands began to get shakey and it felt like my heart rate was slightly elevated. By the end of it, I was feeling cold in my limbs. I got under the warm covers in bed and felt better. I felt like I was floating and slept well.
This morning I awoke feeling really refreshed and relaxed. I can still feel a really pleasant sort of relaxed buzz and warmth under my skin. My mind is kind of dreamy, but I can still concentrate and get things done. I've been feeling great all day. I'm definitely going to try this mix again!
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.


This is the 3rd blog in the Exchange 2013 ABC serie. In this blog we will look at the Client Access Server component. Let’s first have a look at a little history of client access in the previous versions.
History
In Exchange 2003 clients could connect via two ways:
- Directly to the Back-end server
- Via a Front-end server which proxied the connection to the correct Back-end server
Starting from Exchange 2007 Microsoft decided to create a separate server role which was used to handle the client access called the Client Access Server (CAS). This server could be either installed:
- As a separate server
- On the same server as the Hub Transport Server
- On the same server as the Hub Transport and Mailbox Server aka multirole server (only allowed if clustering for the Mailbox Server was not used)
In Exchange 2010 Microsoft did continue to separate the roles but there was a big change in the support colocation of server roles on one server. Compared to Exchange 2007 it was now supported to collocate the CAS, Hub Transport and Mailbox Server role even if the Mailbox Server would be a part of a Database Availability Group (DAG). So this created the following options:
- As a separate server
- On the same server as the Hub Transport Server
- On the same server as the Hub Transport and Mailbox Server aka multirole server
Exchange 2013
So now we had a brief look at the past let’s have a look at how Microsoft did arrange it starting from Exchange 2013. Well it looks like they have updated the Client Access part so it matches the architecture as it was in Exchange 2003.
The Client Access part of Exchange 2013 consist of two pieces:
- CAS role
- Mailbox Server role
Let’s explain it in more detail. The CAS role from Exchange 2013 contains three components:
- Client access
- SMTP
- UM Routing
So what happens when a request from a client arrives? The Client Access component authenticates the session and then proxies the connection to the Mailbox Server which hosts the active copy of the Mailbox Database containing the mailbox of the user. Clients will never make a direct connection to the components hosted on the Mailbox Server role. All connections are made via the Client access component on the CAS role.
This is just one change in Exchange 2013. The most important change in Exchange 2013 is that clients won’t use RPC over TCP anymore but are using RPC over HTTP. This change has several benefits among them:
- Clients only use HTTPS to connect so no large port range has to be opened on the firewall
- HTTPS is more suitable if connecting over a network connection which has a high latency
So let’s discuss the points mentioned above. In some cases a firewall is placed between the clients and the servers. Although you could limit the RPC usage for as described in this article. This still required multiple ports to be opened. Now Microsoft has decided to move to RPC over HTTP only port 443 is being used to access the resources of Exchange. A configuration change has to be made to make thsi possible. By default the OAB is available at port 80 so you will need to change this so it can also be accessed via 443.
That brings us to the second point which would normally not occur on LANs: latency. This has a high impact on RPC over TCP but RPC over HTTPS can handle this issues better although it’s still something you would like to be kept at a minimum in your LAN environment.
Another change in Exchange 2013 is the namespaces required for your environment. In a typical site resilient Exchange 2010 environment you could end up with 8 names which are required for your environment. Two of them where the names for the CAS Array. These names were set as RPC Client Access Server on the databases and would appear in the Outlook profile of the user:
Now in Exchange 2013 we don’t need to set the RPC Client Access Server parameter anymore. Instead of the CAS Array name we will connect to something like this<EMAIL_ADDRESS>So what’s the advantage of this? Well maybe you remember the pop up that users received this pop up:
Well that’s history starting from Exchange 2013. This since the server value does not change anymore. So if an administrator decides to move a mailbox the user won’t be prompted to restart Outlook anymore.
Load Balancing
And what about load balancing has this changed? Yes this has changed. In Exchange you would need to setup session affinity and use layer 7 load balancing for some of the protocols.  Besides this session affinity is not required anymore. This because it will have no effect if the session is arriving via another CAS this since rendering of for example OWA happens on the Mailbox Server. So if a session is lost and is reconnected via another CAS it will still arrive at the same Mailbox Server which performed the rendering.
But what about the authentication? After the user has logged in an authentication cookie is provided which is encrypted with the CAS’s SSL certificate. When the client is connected via another CAS the authentication cookie is decrypted. For this proces to work it is imported that all CAS will share the same certificate.
Here ends the third blog in the Exchange 2013 ABC series. In this blog we discussed the changes in the Client Access Server component. In the next blog we will have a look at Database Availability Groups in Exchange 2013. Below are some interesting links about the Client Access Server of Exchange.
Useful links:
Robert’s Rules of Exchange: Multi-Role Servers:
Exchange 2013 Client Access Server:
http://blogs.technet.com/b/exchange/archive/2013/01/25/exchange-2013-client-access-server-role.aspx


Nothing here {{'yet' + '!'}}
just added {{aValue}} + {{bValue}} which is equal to {{aValue+bValue}}. Done it using scops.
Phonecat
Fast just got faster with Nexus S.
The Next, Next Generation tablet.
| row number |
|---|
| {{i}} |
Browser Version is -> {{browserVersion}}
The food is {{spice}} spicy!
Let's try this simple notify service, injected into the controller...
{{ clickCount }}(you have to click 3 times to see an alert)


Spent NMC Battery
Discharge to 0.2V
Manual Casing Opening Anode Membrane Alkaline wash NaOH at pH 10 Al Lisalt ressure
lithiation at 00 psi
yee Spent soluti Oxidizing agent pent solon
Rinsing and Drying at Q°C
ema treatment at 00 °C
Refreshed NMC
Water Spent solution


As an organ recovery coordinator for Gift of Hope Organ & Tissue Network, she regularly faces the emotionally fraught task of guiding families through the process of letting go of loved ones — and allowing their vital organs and tissues to be donated to people waiting for transplants.Tears come with the territory.“You’re dealing with death, and there’s no sugarcoating that it can be hard. I cry a lot with families,” said Moulesong, 40, a resident of southwest suburban Channahon.But the upside is profound. As of May, there were nearly 4,000 Illinois residents on the waitlist to receive an organ transplant. Successful donations mean that life can literally come from death.
“I get to see the best of people,” she said. “When everything’s been taken from them, the beautiful thing is that many are still willing to give to strangers they’ll never meet — which is amazing to me.”She added: “I just like that something positive can come from something so negative. … This sounds cliche, but when people donate their organs, it’s really something beautiful that can come from something so nightmarish.”Moulesong’s passion for saving lives helps explain why she’s stuck with a career she didn’t discover until her mid-20s.The South Holland native initially majored in art while an undergraduate at Illinois State University and Joliet Junior College. But shortly before graduation in 2002, Moulesong switched gears and decided to follow in the footsteps of her mother, a longtime ER nurse.
“I’d visit her at work and kind of grew up in the level one trauma atmosphere, and so I was always fascinated by it,” she said.Moulesong briefly worked as a paramedic before moving to Dallas, Texas, with her husband Mike, where she first landed a job as an organ recovery coordinator. Upon returning to the Chicago area in 2007, she transferred to Gift of Hope — the Itasca-based organ and tissue recovery nonprofit.Twelve years later, she’s become used to the job’s extraordinary routine. Organ recovery coordinators are always on-call during their 12-hour shifts, three or four days a week. At any time, Gift of Hope can receive an emergency dispatch notifying them of a candidate for organ donation located in their network of 188 hospitals throughout Illinois and parts of Indiana.
Gregory House
May God bless you guys!!!!
Reply
Lisa Cuddy
You guys are doing a great job...
Reply


This demo demonstrates 2D transforming of CSS3.
This demo demonstrates 2D transforming of CSS3.
This demo demonstrates 2D transforming of CSS3.
This demo demonstrates 2D transforming of CSS3.
This demo demonstrates 2D transforming of CSS3.
This demo demonstrates 2D transforming of CSS3.


HOME
SPECIALS & PROMOTIONS
CONCESSIONS
ABOUT US
HOME
SPECIALS & PROMOTIONS
CONCESSIONS
ABOUT US
115 North Elson , Kirksville , MO 63501 / 660 - 665 - 5684 /<EMAIL_ADDRESS>Ticket Prices
Kids
$6.50
3D
$9.00
Students
$7.00
3D
$9.50
Adults
$7.50
3D
$11.00
Sr. Citizens
$6.50
3D
$9.00


H a n g m a n
Press Any Letter Key to Get Started!
Current Word:
Incorrect Guesses Remaining:
7
Letters Already Guessed:
Wins: