Pythonic Heavy Modelling
Primary Motivation / Problem Statement
Heavy models are models which are complex to compute, where values likely to be contingent; that is where the value at each timepoint t depends on the values at t-1, t-2 etc. through to t=0.
This contingency can result in even a simple model causing stack overflows and other nastiness. Fortunately there are solutions, this document outlines one approach using the heavymodel library I have developed in Python.
A trivial example is would be a value which starts at 1 at t=0, and reduces by 5% at each subsequent time point. Without using the heavymodel library this could be written as:
class DecreasingModel():
def var(self, t):
if t==0:
return 1
else:
return self.var(t-1) * 0.95
This example could be run as follows:
dm = DecreasingModel()
results = {t:dm.var(t) for t in range(0, 11)}
As expected, this gives results as follows:
{0: 1,
1: 0.95,
2: 0.9025,
...
9: 0.6302494097246091,
10: 0.5987369392383786}
As it is recursive dm.var(10)
will be called once, dm.var(9)
will be called twice, dm.var(0)
called 11 times, in total 66 calls. For t=n, the total calls is n(n+1)/2, i.e. O(n²); If we were to introduce multiple dependent functions the number of computations would grow exponentially.
We can see the speed using the ipython magic function %timeit:
In [6]: %timeit results = {t:dm.var(t) for t in range(0, 20)}
10000 loops, best of 3: 25.2 µs per loop
In [7]: %timeit results = {t:dm.var(t) for t in range(0, 120)}
1000 loops, best of 3: 871 µs per loop
To an actuary writing model and expecting execution similar to Excel, this can be a nasty surprise, and result in programming languages being rejected.
To minimise run speed (and avoid recursion and stack overflows), we want to evaluate each function at most once.
The solution can be achieved by inheriting from the Model
class in the heavymodel
library, which provides functionality to evaluate the user model. The example above can be rewritten as:
from heavymodel import Model
class DecreasingModel2(Model):
def var(self, t):
if t==0:
return 1
else:
return self.var(t-1) * 0.95
Model
supplies a helper method _run
which evaluates the model at each time point from t=0 to t=proj_length-1 (as python is zero-indexed):
dm2 = DecreasingModel2()
dm2._run(proj_length=11)
results = dm2.var.values # results are stored in the .values attribute
Results are identical to the first case:
{0: 1,
1: 0.95,
2: 0.9025,
...
9: 0.6302494097246091,
10: 0.5987369392383786}
Timings are outlined in the section below.
Aside: The _run
method is provided by the heavymodel.Model
class, which is inherited by the user model class. It's implementation may vary but its purpose is to calculate each single argument user method starting from t=0 up to proj_length-1.
Speed comparison of the two methods
Timing dm2._run() is complicated by the fact that after the first run, results are stored for that instance. To provide a like-for-like comparison we need to create a new instance of the model for each evaluation:
def dm_time(proj_len):
dm = DecreasingModel()
results = {t:dm.var(t) for t in range(0, proj_len)}
return results
def dm2_time(proj_len):
dm2 = DecreasingModel2()
dm2._run(proj_len)
return dm2.var.values
Using %timeit
over a series of values of proj_len allows us to measure the relative speeds, for example for proj_len=70
.
In [72]: %timeit dm_time(70)
1000 loops, best of 3: 284 µs per loop
In [73]: %timeit dm2_time(70)
10000 loops, best of 3: 99.7 µs per loop
A log-log plot of results is below. We can see that dm2 (the model using heavymodel.Model
) has an increased initialisation time, but for projection lengths greater than 50(ish), dm2
becomes substantially quicker. At proj_len equal to 1280 and 2560, dm
failed due to a RecursionError.
Given that most heavy models are likely to be run monthly for at least 20 years, a typical proj_len will be 240 or greater, and so the heavymodel approach should give substantial speed benefits.
If you are interested in other approaches, I recommend the OpenActuarial site.


worldly: 生活经验丰富的；老成持重的；世故的 having a lot of experience of life and therefore not easily shocked。另外，它也可以表示“尘世的；世俗的；世事的”，参考spiritual.html: American Dream
veteran: 经验丰富的人；老手 a person who has a lot of experience in a particular area or activity 退伍军人；老兵；老战士；老水兵 a person who has been a soldier, sailor, etc. in a war
adversity: 困境；逆境 a difficult or unpleasant situation


The SphereResult class stores the result sent back from each SPE.
| Member | Type | Description |
| m_iResID | int | result ID |
| m_iStatus | int | Result status: if this DS is processed successfully (> 0, number of rows); If not (<0), m_pcData may contain error message. |
| m_pcData | char* | result buffer |
| m_iDataLen | int | size of the data buffer |
| m_pllIndex | int64_t* | the record index of the result |
| m_iIndexLen | int | size of the index (number of 64bit integers) |
| m_strOrigFile | string | the corresponding input file |
| m_llOrigStarRec | int64_t | the starting record in the input stream |
| m_llOridEndRec | int64_t | the ending record in the input stream |
There is no public interface for this class.


| Fig 1 |
Boxplot of the Maxent predictive performance based on mean A ... |
| Fig 2 |
Predicted patterns of species richness using binary distribu ... |
| Fig 3 |
Data as in Fig 2, but assuming no-dispersal. The colours ind ... |
| Fig 4 |
Mean of the difference in predicted species richness between ... |
| Fig 5 |
Predicted future species turnover (change in species composi ... |


Loic le Meur was kind enough to put up the videos of the blogging panel at Davos right here. Some great examples of what blogging can do and where it might be heading and why. Thanks Loic!
Search Engine Reputation Management Engine
Yep, SERME in short. I just found it via John Battelle’s Searchblog and I can only shake my head in amazement. The company having announced this is Converseon (what a name). As John, I’ll simply quote part of the press release:
"SERMA(C)" Combines Innovative Content Management Techniques Together with Sophisticated Optimization Skills To Help Companies Better Manage Their Reputations and Brand Online
Converseon, a leading digital communications agency, today announced the global launch of the industry’s first search engine reputation management service (SERMA) designed specifically to help companies manage their corporate reputations in search engines. SERMA was created in response to the increasingly important role search engines have in determining a company’s reputation.
"Search engines have become the primary resource for journalists and other constituents to gather information on a specific company," says Robert Key, President & CEO of Converseon. "Yet, while many companies may pay close attention to how the traditional media portrays them, most companies are completely unaware of what information is appearing when search engine users type in a company’s name." He points to examples like McDonald’s and Nike, where users typing in the companies’ names on Google are exposed to highly negative information, including McSpotlight.org, a "protest site," and the "Boycott Nike Homepage."
In general, they are monitoring search engines. I’d suggest Google Alert.
Orkut Online Again…
… let’s see how long it holds. :)
Blog Push
Heiko is calling everyone to blog at We need more weblogs and with some of his posts I am continuously wondering if means it or if he just has a wonderful time making fun of something I didn’t read yet :)
One might say that we don’t really really need more content and we especially do not need to read more discussions, at least not in parallel. Then again I’d love to, which again is a bit sick if you think about it. But I think he means it, especially reading his post Beth Cox is sceptical in which he quotes Beth as saying that she would be passing on the blogging trend for now as she doesn’t think it’s more than a little brand marketing. He responds by saying to just "keep on writing little articles for online publications that sell "blogging" as a "trend" years after it started. Keep on spending hours of updating your web site and money on keyword advertising. No, weblogs don’t have anything to do with it. Really.
That’s what I mean when I say that I wonder if I have to turn most of the things Heiko says around. So when is the next big blogger meeting to really get to know everyone? :)
In the Background: Google Answers

Why the hell is Google Answers not pushed more by Google? For those not in the know, Google Answers allows you to ask a question in case you do not find anything about it and then get it answered (potentially) for a small fee by a Google Researcher.

This is an amazing service and it seems to be logging about hundred questions a day, which might be the answer already. This just doesn’t pay millions of EURs. Even at an Average of 10 EURs per question, this would only bring in 30.000 EURs per month, which is just not enough. Still, the content that they are creating can have an amazing value. So I am wondering if this will be brought out more into the open at the Google IPO. There might be something very valuable in there at least.

I still have my Google Researcher ID to answer questions there but I have to admit that the people that they have online are just too good for me and the questions too complicated. You have to be really good at finding things and I mean really good. I think I answered three questions, getting my fare share of the fee. But after that it took too much time to monitor new questions. Still. I maintain what I always said, Google Answers is a great service and Google should push it a bit more.

Shopping for Orkut Invitations
I recently read that an Orkut invitation is worth $11 (read here) and that already made me smile, until I received some feedback via my contact form:
hey, long time reader of your blog. great to see you got into the whole orkut scene. do you have any invitations you could maybe send my way?
-chris
First of all, maybe I do, maybe I don’t. If I do, why would I send "invitations" (see plural) his way? He only needs one doesn’t he? And then there is the problem that I don’t know who chris is. Sorry chris. He knows me, but I don’t know him… am I achieving stardom here? Will people start greeting me on the street soon? I think I am a few readers away from that but emm… continuing the original thread.
You (talking to Chris now) are (as a long time reader) obviously reading this, so please give me a bit more info on you, just in case I do have an invitation (watch singular) for Orkut. Not that I do. But in general this is a friends network so I invite friends, or people I at least consider to know a little tiny bit, either by knowing them personally or by reading their blog or something else.
I am looking forward to see what comes of all of this. :)
Nielsen Netratings Report
Nielsen Netratings has published a Report in Germany, saying that 94% of internet connected households do not take important decisions without usage of the Internet first. The most important starting point for 79% of them are search engines followed at 55% by the web sites of brands and producers. 46% are certain that they buying time is shortened by using the Internet.
All of this should really make people see how important the internet is for advertising. You might not be buying online, but you will surely get informed online.
Popups Are Dead
So that’s that. With the release of the MSN Toolbar Beta – More Useful Everyday, we have another toolbar with Popup blocker that will be distributed to millions. Ad to that, that AOL has one too if memory serves me right, and the Google Toolbar is installed everywhere… I think we can officially call Popups dead. Thank you.
An IKEA Walk-thru
Thank to AkuAku SF: IKEA walk-thru I just found The Non-Expert: IKEA, being a walk through of IKEA. What is a walk-through?
That’s gaming lingo or a short text to tell you how to go about a game to win. Now, you can survive IKEA, thanks to the IKEA walk-through.
<!– more –>

[…]
OBJECTIVE
Your goal is to successfully traverse the five awesome worlds of IKEA before your patience runs out. On your first few tries this may seem like an impossible task, but with practice (and this IKEA Walkthrough!) you will soon be able to muster the sense of numb resignation necessary for victory. […]
=============================================================
WORLD TWO: SHOWROOMS
You start this world armed only with a UNIVERSAL FURNITURE-ASSEMBLY ALLEN WRENCH. This is the weakest weapon in IKEA: You will have to hit a person 16 times with it to kill them. So your primary goal in this level is to find more lethal means of dispatching your enemies.
As you enter the SHOWROOM, perform a rolling dodge to the left. Grab a free PAPER TAPE MEASURE and a handful of IKEA EMBLAZONED GOLF PENCILS from the kiosk near the entryway. The PENCILS serve quite well as ranged weapons, but it will take some time to master their use. Before venturing further in the world, stand at the kiosk and practice hurling GOLF PENCILS at patrons as they enter the SHOWROOM. Remember: Hitting the eyes does triple damage.
[…]
=============================================================
WORLD FIVE: CHECKOUT
This is it. The matchup between you and the final boss: IKEA founder Ingvar Kamprad. But unlike traditional adventures, this ultimate showdown is not one of violence (much as, at this point, you’d like it to be), but rather a battle of will and endurance. If your PATIENCE is already running low, you are unlikely to finish this world. But this is what you’ll need to do to survive.
First push your cart into the CHECKOUT line. Now stand there and wait. Continue to wait. If the person in front of you moves forward, you should move forward as well. And then wait. The key to CHECKOUT – and I cannot emphasize this enough – is to wait.
Orkut Under Construction… Again
There we have it. Orkut is closed for a few days pending some fixes. This is why it is only affiliated with Google and why they say Beta. :)
We’ve taken orkut.com offline for a few days as we implement some improvements and upgrades suggested by users. Since orkut is in the very early stages of development, it’s likely to be up and down quite a bit during the coming months. None of the data you’ve entered will be deleted, and none of the connections you’ve made will be lost. And, if all goes well, you should see some significant improvements when we come back online.
We’ll send an email once everything is ready and running again. Thanks for your feedback and for bearing with us as we work our way up the learning curve.
The orkut team  -> orkut - under construction
I am pretty sure that by now, this is not Orkut’s side project, which he develops on his 20% "do as you please" time that Google has for everyone per week. But hey, it likely never was only that much for him and he likely didn’t do all this alone in the end. At least in the last few days/weeks pending launch, he will likely have had a bit more time. Remember that as he coded this at least partly at Google, it belongs to Google if Google asks for it.
And Orkut.com just rose too fast and probably had way too many hits by now to even hold out. My guess would be that they have far above 5 Million hits a day at the moment and they help up pretty well for that. Let’s see what happens when orkut.com is back up. :)


RAB detains six operatives of banned militant outfit Ansar al-Islam in Dhaka, Satkhira
by bdnews24.comRapid Action Battalion or RAB has arrested six suspected operatives of the banned militant outfit ‘Ansar al-Islam’ in Dhaka and Satkhira.
They were arrested in separate raids in the capital’s Uttara and Satkhira’s Shyamnagar Upazila on Friday, said Mizanur Rahman, assistant director of the RAB's media wing.
The detainees have been identified as Shafikul Islam alias Salman Muktadir, 21, Ilias Howlader alias ‘Khattab’, 32, Ekramul Islam alias Amir Hamza, 21, Amir Hossain, 26, Shipon Mir alias Abdur Rob, 33, and Moulana Waliullah alias Abdur Rahman, 25.
“Amir Hossain used to operate a Facebook page to propagate the ideology of ‘Ansar al-Islam’,” Mizanur told bdnews24.com.
RAB seized a laptop and mobile phones from them, he said, adding that further details about the drives will be disclosed at a press conference later on Saturday.


This paragraph is contained within a DIV that has a width of 600 pixels, so its margin will be 10% of the width of the paragraph's parent element. Given the declared width of 600 pixels, the margin will be 60 pixels on all sides.
This paragraph is contained within a DIV with a width of 300 pixels, so its margin will still be 10% of the width of the paragraph's parent. There will, therefore, be half as much margin on this paragraph as that on the first paragraph.


Curtain / Materials
Silky Satin
Luxuriate in indulgent softness and a rich sheen with a classic aesthetic that pays homage to dignified colors and formal arrangements. Create the traditional sense of balance with plain satin curtains in a wide palette of shades in mellow browns like beige, para and taupe as well as deeper shades of indigo, raspberry, fuchsia and plum. Traditional verve pairs with a sense of abiding order to give you a restful atmosphere.


September 2, 2017 By: Andrew Tenajeros
Traffic data is the best for your website and marketing initiatives.Everytime you write or promote your blog , you must use this information to track result and correlate these efforts to actual R.O.I. You must look at traffic numbers over long-term intervals so you will see the trends and reports on improvement.


Add the class .message-inverse to any .message element to leverage inverse styling.
.message-inverse
.message

 Information: This is a message that is more colorful than others.


Bootstrap is the most popular HTML, CSS, and JS framework for developing responsive, mobile-first projects on the web.
This is some text.
This is another text.
Bootstrap is the most popular HTML, CSS, and JS framework for developing responsive, mobile-first projects on the web.
This is some text.
This is another text.
This is some text.
This is another text.


1
Alan’s
pet
dog
always
sniffs
a
stranger’s
leg.
2
My
father
writes
with
his
left
hand.
3
The
gardener
sprays
water
every
morning.
4
Please
return
my
book.
5
We
saw
dolphins
swimming
in
the
ocean.
6
Kate
memorized
the
poem.
7
Wood
floats
on
water.
8
The
magician
entertained
us
at
Tom’s
party.


Congratulations {{currentUser.name}}!
You've successfully logged in to Fujitsu's K5 IaaS platform using Angular 4
K5 Token
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Invoice
John Smith
123 Main St
Los Angeles, CA 90066
(xxx) xxx-xxxx
<EMAIL_ADDRESS>Description
Hours
Cost
Total
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2
60
120
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2
60
120
lorem ipsem
2
60
120
lorem ipsem dolor sit
2
60
120
Additional
0
Total
480


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dhcpcd is an implementation of the DHCP client specified in RFC2131. A DHCP client is useful for connecting your computer to a network which uses DHCP to assign network addresses. dhcpcd strives to be a fully featured, yet very lightweight DHCP client.
This package is known to build and work properly using an LFS-9.1 platform.
Download (HTTP): https://roy.marples.name/downloads/dhcpcd/dhcpcd-8.1.6.tar.xz
Download (FTP): ftp://roy.marples.name/pub/dhcpcd/dhcpcd-8.1.6.tar.xz
Download MD5 sum: e1eea03388d12c9ad21ecd7c135fdf8b
Download size: 224 KB
Estimated disk space required: 2.6 MB (with tests)
Estimated build time: less than 0.1 SBU (with tests)
LLVM-10.0.0 (with Clang), ntp-4.2.8p14, chronyd, and ypbind
User Notes: http://wiki.linuxfromscratch.org/blfs/wiki/dhcpcd
Install dhcpcd by running the following commands:
./configure --libexecdir=/lib/dhcpcd \ --dbdir=/var/lib/dhcpcd && make
To test the results, issue: make test.
Now, as the root
user:
make install
--libexecdir=/lib/dhcpcd
:
The default /libexec
is not
FHS-compliant. Since this directory may need to be available early
in the boot, /usr/libexec
cannot be
used either.
--dbdir=/var/lib/dhcpcd
:
The default /var/db
is not
FHS-compliant
--with-hook=...
: You can optionally
install more hooks, for example to install some configuration files
such as ntp.conf
. The set of hooks is
in the dhcpcd-hooks
directory in the
build tree.
To configure dhcpcd, you need to first
install the network service script, /lib/services/dhcpcd
included in the blfs-bootscripts-20191204 package (as
user root
):
make install-service-dhcpcd
The default
for dhcpcd is to
set the hostname and mtu. It also overwrites /etc/resolv.conf
and /etc/ntp.conf
. These modifications to system
files are done by hooks which are stored in /lib/dhcpcd/dhcpcd-hooks
. Setup dhcpcd by removing or adding
hooks from/to that directory. The execution of hooks can be
disabled by using the --nohook
(-C
) command line option or by the
nohook
option in the /etc/dhcpcd.conf
file.
Finally, as the
root
user create the /etc/sysconfig/ifconfig.eth0
configuration file
using the following commands. Adjust appropriately for additional
interfaces:
cat > /etc/sysconfig/ifconfig.eth0 << "EOF"
ONBOOT="yes"
IFACE="eth0"
SERVICE="dhcpcd"
DHCP_START="-b -q <insert appropriate start options here>
"
DHCP_STOP="-k <insert additional stop options here>
"
EOF
For more information on the appropriate DHCP_START
and DHCP_STOP
values, examine the man page for
dhcpcd.
Although not
usual, it is possible that you need to configure dhcpcd to use a fixed ip. Here, we give an
example. As the root
user create
the /etc/sysconfig/ifconfig.eth0
configuration file using the following commands. Adjust
appropriately for additional interfaces and for the actual ip and
router you need:
cat > /etc/sysconfig/ifconfig.eth0 << "EOF"
ONBOOT="yes"
IFACE="eth0"
SERVICE="dhcpcd"
DHCP_START="-b -q -S ip_address=<IP_ADDRESS>/24 -S routers=<IP_ADDRESS>"
DHCP_STOP="-k"
EOF
You can either use DNS servers in /etc/resolv.conf
from another system, your
preferred servers, or just the example /etc/resolv.conf.head
file below as is:
cat > /etc/resolv.conf.head << "EOF"
# OpenDNS servers
nameserver <IP_ADDRESS>
nameserver <IP_ADDRESS>
EOF
Last updated on 2020-03-23 16:46:15 -0500


Duration: Hours
Also mute/unmute all alts (will not affect ignored alts)
Recursively include alts of alts.
Aggressively identify alts (check to include alts that last logged in 90+ days ago)
Other Player ID:
Cooldown until new Alias: Hours
Tell the player what they are being muted for:
Reason for this action:
Pick an item from the list:
Or type the internal item name (from items.json) below:
Quantity:
Level:
$GAMEBUCKS_NAME$ amount:
Modify PvP score:
Reason for this action:
From:
Subject:
Body:
Reason for this action:
Cooldown Name:
Reason for this action:
Force player to move to region:
Also banish from anti-alt regions for:
Hours
Also banish from anti-VPN regions for:
Hours
Also banish from anti-refresh regions for:
Hours
Also banish all alts (will not banish ignored alts)
Recursively include alts of alts.
Aggressively identify alts (check to include alts that last logged in 90+ days ago and alts of alts)
Reason for this action:
Other Player ID:
Migration Player ID:
Migration Battlehouse ID:
Reason for this action:
Also remove home base and all quarries from regional map
Also ban all alts. Will not ban ignored alts. Alt accounts must be individually unbanned.
Recursively include alts of alts. Will not ban ignored alts. Alt accounts must be individually unbanned.
Aggressively identify alts (check to include alts that last logged in 90+ days ago)
Reason for this action:
Announce the ban in public chat:
Change clan name or tag:
Rename player:
New Call Sign/Name:
Reason for this action:
Reason for this action:
"Developer Flag" enables developer-only features and excludes this player from analytics.
Reason for this action:
"Patron Flag" enables in-game content and monthly gold.
Other Battlehouse ID:
Use first associated BH account. Only check this if you receive an error.
Reason for this action:
Reason for this action:
New Name:
Force: overrides name content requirements. Will not force if another account already has the provided name
Reason for this action:
FB Payment ID:
Status:
Reason:
Denied Refund
Gave Item
Banned User
STATUS
This feature is not functional yet. It will display clock tampering, auto-click, and secteam exploit reports and include enforcement buttons.
PvP Season:
Admin Only:
Click to mark season as already distributed so PCHECK can't give prizes a second time.
Only admin users can see this.
The "Give Prizes" button above duplicates this button function after giving out prizes.


[ Identification | Description | Input parameters | Output parameters | Links ]
Collimator_ANET
ComponentSoller collimator with rectangular opening and specified length. The transmission function is an average and does not utilize knowledge of the actual neutron trajectory. A zero divergence disables collimation (then the component works as a double slit). Example: Collimator_ANET(xmin=-0.025, xmax=0.025, ymin=-0.025, ymax=0.025, length=0.4, width=0.0025)
| Name | Unit | Description | Default |
| xmin | m | Lower x bound on slits | -0.025 |
| xmax | m | Upper x bound on slits | 0.025 |
| ymin | m | Lower y bound on slits | -0.025 |
| ymax | m | Upper y bound on slits | 0.025 |
| length | m | Distance between input and output slits | 0.4 |
| width | minutes of arc | Divergence horizontal angle (calculated as atan(d/length), where d is the blade spacing) | 0.0025 |
| Name | Unit | Description | Default |
Collimator_ANET.comp
.
[ Identification | Description | Input parameters | Output parameters | Links ]
Generated on 2020-11-27 12:36:34


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My body shakes because I am experiencing so much sorrow.
3 Yahweh, I am greatly troubled in my inner being.
How long must I endure this?
4 Yahweh, please come and rescue me.
Save me because you always keep the promises of your covenant.
5 I will not be able to praise you after I die;
no one in the place where the dead are praise you.
6 I am exhausted because of my pain.
I cry all night long so that my bed and my pillow are drenched by my tears.
7 Because I cry so much, I cannot see well.

They will turn away from me and suddenly leave me
because they will be disgraced.


Known is free education HTML Bootstrap Template. You can modify in any way and use this for your website.
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Please spread a word about us. Template redistribution is NOT allowed on any download website.
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Education is the key!

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You really do help young creative minds to get quality education and professional job search assistance. I’d recommend it to everyone!
Trying something new is exciting! Thanks for the amazing law course and the great teacher who was able to make it interesting.
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You really do help young creative minds to get quality education and professional job search assistance. I’d recommend it to everyone!
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Object sys contains some general-purpose constants and methods:
sys.lf |
Line feed character (\n) |
sys.cr |
Carriage return character (\r) |
sys.tab |
Tab character (\t) |
sys.space |
Space character ( ) |
sys.quot |
Double quote character (") |
sys.apos |
Single quote character (') |
sys.backspace |
Backspace character (\b) |
sys.date() |
Returns current date in the yyyyMMdd format |
sys.time() |
Returns current time in the HHmmss format |
sys.datetime(format) |
Returns date/time in specified format (Java date and time formatting patterns must be used). |
sys.escapeXml(text) |
Escapes characters &'"<> in the specified
text according to XML standard. |
sys.fullUrl(pageUrl, link) |
For the specified URL of the web page and specified link (which could be relative, absolute or full URL) returns full URL. |
sys.defineVariable(varname, varvalue,
[overwrite]) |
Defines new variable with specified name and value in the
current Web-Harvest context. Parameter overwrite tells
whether to overwrite existing variable with the same name. Its default
value is true . It has the same meaning as var-def
processor, however it could be useful for value exchange between
scripts and Web-Harvest context. |
sys.isVariableDefined(varname) |
Tells if variable with specified name is defined in the context. |
xpath(xpathexpr, xml) |
Evaluates XPath expression on specified XML. Returns instance
of org.webharvest.runtime.variables.Variable class. |


California High School Shooting
by Associated Press1 / 19Parent Mirna Herrera kneels with her daughters Liliana, 15, and Alexandra, 16 at the Central Park memorial for the Saugus High School victims in Santa Clarita, Calif., Friday, Nov. 15, 2019. Investigators said Friday they have yet to find a diary, manifesto or note that would explain why a boy killed two students outside his Southern California high school on his 16th birthday. (AP Photo/Damian Dovarganes)
SANTA CLARITA, Calif. (AP) — The Latest on the shooting at a Southern California high school in which two students were killed (all times local):
11:45 a.m.
Students are being allowed to retrieve their belongings at a Southern California school where a teen shot five classmates, killing two.
Classes at Saugus High in Santa Clarita are canceled until Dec. 2. Students were escorted on Tuesday to pick up books, backpacks and other items left behind after gunfire erupted last Thursday.
School administrators have scheduled counseling sessions this week to help students and staff deal with the trauma.
Investigators still don’t know why Nathaniel Berhow opened fire in a campus quad and then shot himself in the head. The 16-year-old died at a hospital Friday.
___
7:30 a.m.
The last hospitalized victim of a Southern California school shooting that left three students dead and three others wounded has gone home.
Providence Holy Cross Medical Center spokeswoman Pat Aidem says the 15-year-old girl left the hospital late Monday.
Detectives are searching for a motive for the killings carried out last Thursday by Nathaniel Tennosuke Berhow at Saugus High School in Santa Clarita. The teen shot himself and later died. Authorities say Berhow didn’t appear to be linked to any ideology.
A wounded 14-year-old girl was released from the hospital Friday. A 14-year-old boy was treated and released Thursday.
The dead were identified as 15-year-old Gracie Anne Muehlberger and 14-year-old Dominic Blackwell.
Thousands of people attended a candlelight vigil for the victims at a city park Sunday night.


Ah, the manifold complexities of the human brain! In my dreams, as I slept last night, there was a starring role for Rumer Godden. Quite what she was up to became unclear the moment I awoke, and now I remember nothing at all, save that she had a very important part to play in whatever was going on in my sleeping head.
But why? I have never read any of her books. I had to remind myself, with a tiny bit of morning research, that she was the author of (among much else) Black Narcissus. I know almost nothing about her. Yet here she was, unsummoned, at the forefront of my unconscious mind.
At least I did not bash her about with a wooden chair, as once—in dreams—I bashed Roy Kinnear …


Steelers QB Rudolph fined $50,000 for brawl with Browns
by TOM WITHERS, ASSOCIATED PRESSEarlier coverage: Mason Rudolph fight
CLEVELAND (AP) — Steelers quarterback Mason Rudolph didn’t escape the brawl with the Browns unpunished.
Rudolph was fined $50,000 on Saturday by the NFL for his involvement in the melee that began when Browns defensive end Myles Garrett pulled off his helmet and hit him over the head with it.
Rudolph avoided suspension for his actions — he tried to pull off Garrett’s helmet and charged him — but was one of 33 players fined by the league for their involvement. The league penalized 29 players $3,507 apiece for “entering the fight area.”
In all, the league handed out more than $700,000 for discipline stemming from the ugly final seconds of Cleveland’s 21-7 win over Pittsburgh last week. There was another $77,206 assessed for personal fouls earlier in the game.
Garrett was indefinitely suspended by the league for tearing off Rudolph’s helmet and using it “as a weapon.” His appeal was denied this week when he told appeals officer James Thrash that Rudolph used a racial slur against him.
Rudolph wrestled with Garrett and unsuccessfully tried to yank off the Pro Bowler’s helmet before running after him and then being struck on the top of the head.
Earlier this week, Rudolph said there was “no acceptable excuse," for his behavior. He has denied using the racial slur, and the league has found no evidence such a slur was used.
The league also fined the Steelers and Browns $250,000 apiece. The AFC North rivals play again Dec. 1 in Pittsburgh.
Garrett was also fined $45,623 for his shocking attack, which will cost him the rest of the regular season and playoffs — if Cleveland qualifies without him. Garrett will also lose $1.14 million in game checks.
The league said Garrett must meet with Commissioner Roger Goodell’s office before he can be reinstated.
Steelers center Maurkice Pouncey was suspended three games and fined $35,096 for punching and kicking Garrett. Appeals officer Derrick Brooks reduced Pouncey’s ban to two, but he’ll miss next Sunday’s game against the Steelers.
Browns defensive tackle Larry Ogunjobi was suspended for Sunday’s game against Miami for shoving Rudolph to the ground. Thrash upheld Ogunjobi’s suspension but rescinded his $10,527 fine.
___
More AP NFL: https://apnews.com/NFL and https://twitter.com/AP_NFL
Related Photos


# coding: utf-8
# Licensed like the corresponding numpy file; see licenses/NUMPY_LICENSE.rst
"""
Utilities that manipulate strides to achieve desirable effects.
An explanation of strides can be found in the "ndarray.rst" file in the
NumPy reference guide.
Notes
-----
The version provided here ensures broadcast_arrays passes on subclasses
if one sets ``subok=True``; see https://github.com/numpy/numpy/pull/4622
"""
from __future__ import division, absolute_import, print_function
import numpy as np
__all__ = ['broadcast_arrays', 'GE1P10']
def GE1P10(function=np.broadcast_arrays):
"""Test whether the broadcast_arrays function respects subclasses
By default, ``np.broadcast_arrays`` is checked
See https://github.com/numpy/numpy/pull/4622
"""
class MySubClass(np.ndarray):
pass
try:
return isinstance(function(MySubClass((1,)), subok=True)[0],
MySubClass)
except TypeError: # unexpected argument subok
return False
if GE1P10():
from numpy.lib.stride_tricks import broadcast_arrays
else:
from numpy.lib.stride_tricks import DummyArray
def as_strided(x, shape=None, strides=None, subok=False):
""" Make an ndarray from the given array with the given shape and strides.
"""
# first convert input to array, possibly keeping subclass
x = np.array(x, copy=False, subok=subok)
interface = dict(x.__array_interface__)
if shape is not None:
interface['shape'] = tuple(shape)
if strides is not None:
interface['strides'] = tuple(strides)
array = np.asarray(DummyArray(interface, base=x))
# Make sure dtype is correct in case of custom dtype
if array.dtype.kind == 'V':
array.dtype = x.dtype
if type(x) is not type(array):
# if input was an ndarray subclass and subclasses were OK,
# then view the result as that subclass.
array = array.view(type=type(x))
# Since we have done something akin to a view from x, we should let
# the subclass finalize (if it has it implemented, i.e., is not None).
if array.__array_finalize__:
array.__array_finalize__(x)
return array
[docs] def broadcast_arrays(*args, **kwargs):
"""
Broadcast any number of arrays against each other.
Parameters
----------
`*args` : array_likes
The arrays to broadcast.
subok : bool, optional
If True, then sub-classes will be passed-through, otherwise
the returned arrays will be forced to be a base-class array (default).
Returns
-------
broadcasted : list of arrays
These arrays are views on the original arrays. They are typically
not contiguous. Furthermore, more than one element of a
broadcasted array may refer to a single memory location. If you
need to write to the arrays, make copies first.
Examples
--------
>>> x = np.array([[1,2,3]])
>>> y = np.array([[1],[2],[3]])
>>> np.broadcast_arrays(x, y)
[array([[1, 2, 3],
[1, 2, 3],
[1, 2, 3]]), array([[1, 1, 1],
[2, 2, 2],
[3, 3, 3]])]
Here is a useful idiom for getting contiguous copies instead of
non-contiguous views.
>>> [np.array(a) for a in np.broadcast_arrays(x, y)]
[array([[1, 2, 3],
[1, 2, 3],
[1, 2, 3]]), array([[1, 1, 1],
[2, 2, 2],
[3, 3, 3]])]
"""
subok = kwargs.pop('subok', False)
if kwargs:
raise TypeError('broadcast_arrays() got an unexpected keyword '
'argument {}'.format(kwargs.pop()))
args = [np.array(_m, copy=False, subok=subok) for _m in args]
shapes = [x.shape for x in args]
if len(set(shapes)) == 1:
# Common case where nothing needs to be broadcasted.
return args
shapes = [list(s) for s in shapes]
strides = [list(x.strides) for x in args]
nds = [len(s) for s in shapes]
biggest = max(nds)
# Go through each array and prepend dimensions of length 1 to each of
# the shapes in order to make the number of dimensions equal.
for i in range(len(args)):
diff = biggest - nds[i]
if diff > 0:
shapes[i] = [1] * diff + shapes[i]
strides[i] = [0] * diff + strides[i]
# Chech each dimension for compatibility. A dimension length of 1 is
# accepted as compatible with any other length.
common_shape = []
for axis in range(biggest):
lengths = [s[axis] for s in shapes]
unique = set(lengths + [1])
if len(unique) > 2:
# There must be at least two non-1 lengths for this axis.
raise ValueError("shape mismatch: two or more arrays have "
"incompatible dimensions on axis %r." % (axis,))
elif len(unique) == 2:
# There is exactly one non-1 length. The common shape will take
# this value.
unique.remove(1)
new_length = unique.pop()
common_shape.append(new_length)
# For each array, if this axis is being broadcasted from a
# length of 1, then set its stride to 0 so that it repeats its
# data.
for i in range(len(args)):
if shapes[i][axis] == 1:
shapes[i][axis] = new_length
strides[i][axis] = 0
else:
# Every array has a length of 1 on this axis. Strides can be
# left alone as nothing is broadcasted.
common_shape.append(1)
# Construct the new arrays.
broadcasted = [as_strided(x, shape=sh, strides=st, subok=subok)
for (x, sh, st) in zip(args, shapes, strides)]
return broadcasted


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All off-chain protocols assume the user remains online and synchronised with the network
Does that mean a user needs to open his LN wallet at least daily?
YES! ... but
3rd party that can watch the blockchain for a user
Unofficial BOLT: BOLT13
User must provide WT with:


Namespace Elements
Classes
Beam
A structural framing element defined by a center line curve and a profile.
BeamSystem
A collection of beams within a perimeter.
Brace
A Brace is a structural framing element which is often diagonal.
BuiltInMaterials
Built in materials.
Column
A vertical structural framing element.
Element
Base class for all Elements.
ElementOfType<TElementType>
Base class for all Elements which have an ElementType.
ElementType
Base class for all ElementTypes
Floor
A floor is a horizontal element defined by a profile.
FloorType
A container for properties common to floors.
Frame
An element defined by a perimeter and a cross section swept along that perimeter.
Grid
A grid comprised of rows and columns with each cell represented by a polyline.
Mass
An extruded volume.
Material
A material with red, green, blue, alpha, and metallic factor components.
MaterialLayer
A layer of homogeneous material.
Model
A container for elements, element types, materials, and profiles.
NumericProperty
A property with a numeric value.
Opening
A rectangular opening in a wall or floor.
Panel
A zero-thickness planar element defined by a perimeter.
Space
An extruded region of occupiable space.
StandardWall
A wall defined by a planar curve, a height, and a thickness.
StringProperty
A property with a string value.
StructuralFraming
A structural element with a profile swept along a curve.
StructuralFramingType
A container for properties common to a type of structural framing.
Topography
A topographic mesh defined by an array of elevation values.
Truss
An aggregation of structural framing elements.
Wall
A wall defined by a planar profile extruded to a height.
WallType
A container for properties common to walls.
Enums
UnitType
An enumeration of unit types for a numeric parameter.


Node.js Variant Skip this step and go to 10 MyApp on NodeJS Site
At this point we are making sure the plumbing is working. Nothing in MyApp
should be affected by the move to the GAE Site.
MyApp
If MyApp
is intended to be the default app then access it with a browser with URL tri-test.appspot.com
If MyApp
is not intended to be the default app then access it with a browser with URL tri-test.appspot.com/apps/MyApp.htm
If the demo apps are removed from the x:\tri-devp\war\apps
folder then their use will cause Error 404
to be displayed on the browser.
If they are not removed the signon page for each app will still be presented but it will be impossible to login.
If the intention was to keep them then each will need an AdminUser and User(s) to be created as well
as the loading of the Datastore using the WAKS Utility with the data provided in the
x:\tri-devp\data
folder.
Google Analytics
Exercise the MyApp
on the GAE Site.
Within 30 minutes logon to your Google Analytics Account.
Navigate to your tracker code reporting page.
Use the Real-Time
left side tab to check out the expected recording of the analytics events.
Overnight this will be recorded in the historic records which are viewed under the Audience
and Behavoir
tabs.


Welcome to optimModels’s documentation!¶
This document is in development!
Author¶
Sara Correia<EMAIL_ADDRESS>Centre of Biological Engeneering - University of Minho
This document is in development!
Sara Correia<EMAIL_ADDRESS>Centre of Biological Engeneering - University of Minho


Dealing with Conflict
The time in my life when I had a emotional conflict with someone was at my first job. I had a hard time dealing with one of my colleagues. This person had a tendency of being rude at times not only to me but everyone in the office. He would never give a straight answer when he was asked a question. It became very difficult to work with him. It was hard to react to this person since he was at a senior position.
There had been more than one occasion that I had to curb my anger and not react. But after a while, I could not keep ignoring this behavior. I decided to write to my Manager about this person and what I was going through.
My Manager responded by talking to this person who in turn apologized to me. Since this incident this person's behaviour improved a bit.
 You need to stand your ground and find a solution with a calm mind rather than anger and frustration influencing your actions. I was proud of myself for not letting my temper take the best of me but finding a solution to deal with it.


For Writers
Formatting
- Use
.
on the end of paragraph or line, except in headers - Try to avoid
you
,we
etc. - Use
q-grid
instead of just grid, except in headers. - Do
Some header example
and not doSome Header Example
, except header describes one unitThe Grid Model
- Use 3 spaces for code formatting.
- Use quotes to mark
attention words
but don’t use it too much.
Markdown Documentation
Typescript Documentation
Significant Comment Example
/**
* All this text will go to the head of page.
* We call it "description".
*
* ### Header
* Starting the header above all text will go to the bottom of page.
* We call it "comment".
*
*/
export declare class MyClass {
/**
* All properties inside class will be displayed in a table between "description" and "comment"
*/
foo: any[];
/**
* Type is deferred automatically so no need to describe it.
*/
bar: string;
/**
* Property won't be rendered if there is no any comment for it.
*/
baz: Date;
}
Consider To
- Make comments inside declaration
d.ts
files. - Try to use
markdown
everywhere. Avoid
to use html tags.- For example, use
``
html ` syntax to make an code example. - Use 3 spaces for formatting inside markdown code example.
- Do not include live examples.
Build Markdown from Typescript
- We use typedoc to generate
api.json
file that contains reflection metadata for defenitions. - We use gulp + handlebars + habdlebars extensions to generate
markdown
files fromapi.json
. - we use ejs hexo plugin + marked lib to generate table that can contain markdown inside the cells.
- You type
npm run doc
to generate documentation, fromnode_modules/ng2-qgrid/core/
folder. - How you update
node_modules/ng2-qgrid/core/
folder is not defined yet.
Stackblitz
- https://stackblitz.com/@qgrid
- Name convention is
qgrid-{framework}-{version}-{feature}
. - For instance,
qgrid-ng-5-1-2-selection
.
Version Support
Not defined.


|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
| Interface Summary | |
| DataSet | This interface provides an abstraction for accessing data sets. |
| Fitness | This interface is an abstraction for the fitness of a solution to an optimisation problem. |
| GradientOptimisationProblem | Optimisation problems that are able to provide gradient information should implement this interface. |
| OptimisationProblem | Optimisation problems are characterised by a domain that specifies the search space and a fitness given a potential solution. |
| Problem | This is a common abstraction for all problem classes. |
| ProblemFactory |
A factory used to produce a Problem must satisfy this interface. |
| Solution | This is a common abstraction for all solution classes. |
| Class Summary | |
| DeratingFunctionMaximisationProblem | Title: DeratingFunctionMaximisationProblem |
| FunctionLearningProblem | |
| FunctionMaximisationProblem | |
| FunctionMinimisationProblem | An implementation of OptimisationProblemAdapter that can be used to find
the minimum of any Function . |
| FunctionOptimisationProblem | This class serves as a base class for function optimisation problems using a Function |
| GradientFunctionMinimisationProblem | |
| InferiorFitness | This class is used to represent a fitness value that is always inferior. |
| MaximisationFitness | |
| MinimisationFitness | This class implements the Comparable interface for a minimisation problem. |
| OptimisationProblemAdapter | This is a covenience class that keeps track of the number of fitness evaluations. |
| OptimisationSolution | This class represents a solution to an OptimisationProblem . |
|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


The actual Tampermonkey script loads the bundled script by fetch and adds the script text content to the body of a new script element that is then appended to the document.
This page loads the bundled script via the src attribute of a pre-existing script element.


{% extends "base.html" %} {% block content %}
| IP | OS Name | Serial number | Hardware Model | OS Version | State | Message | Created At | Updated at | Bootstrapper logs | Celery Logs | DHCP Logs | DHCP Lease | Delete |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{device.ip_addr}} | {{device.os_name}} | {{device.serial_number}} | {{device.hw_model}} | {{device.os_version}} | {{device.state}} | {{device.message}} | {{device.created_at}} | {{device.updated_at}} | Bootstrapper Logs | Celery logs | DHCP Logs | DHCP Lease |


|
Regular row, level 1
|
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Last Name |
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|
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|
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|
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01/26/17 |
|
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|
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01/26/17 |
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|
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|
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|
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|
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01/26/17 |
|
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|
First Name |
Last Name |
01/26/17 |


How to use the Arbor webapp for comparative analyses
So, you want to use the Arbor web app to do some comparative analyses?
The Arbor web app is a flexible workflow engine that will let you carry out a wide range of visualizations and analyses. You can upload data files from your computer, or use data from a range of web services.
For this example, I will walk you through the steps you need to use the Arbor web app. I will set up a basic analysis of a correlation between two continuous characters using independent contrasts.
Get started
You will need the anolis example data files, anolis.phy and anolis.csv. Save those files somewhere on your computer, like your desktop.
Now open the Arbor web app. Your screen should look something like this:
If you want, you can log in here; we will post more information about Arbor user accounts later. For now, you don’t need to log in, you can do the analyses for this example without an account.
Upload your data
Near the bottom of the Arbor web app screen you will see a blue box that says “Browse or drop files.” This is how you can get your data into Arbor. There are two options: either you can click the box and browse to the file you want, or you can drag the file onto the box and let go. Arbor should recognize what type of file you have added (in this case, tree or datafile) and store them in the correct way.
Using this method, load in both anolis.phy and anolis.csv. If you want to make sure that your upload worked, you can use the dropdown menu that says “Save or download data.” If you have properly loaded the files you will see them appear in that list.
This is what my screen looks like after uploading anolis.csv - note that anolis.phy is also in the “Save or download data” dropdown, as I uploaded it just before.
Note: Since you have not added your files to any collections, they will appear like this:
- anolis.csv
- anolis.phy
You may also see the same files stored in a collection, depending on how your web app is set up. If you see versions of those stored files from the “datasets” collection, for example, they will look like this:
- anolis.csv (datasets)
- anolis.phy (datasets)
Those stored files will work fine for the exercise, but try to use the ones you uploaded so that you can get the hang of using your own data in Arbor. Also, since these datasets are uploaded but not saved, if you refresh your browser or even accidentally go to a different page, the datasets will be gone when you come back. If you want to save your uploaded data then you should login and make a personal collection.
Select the collections you want
For this exercise, you will use functions from two arbor collections, “base” and “phylogeny.” All available collections are listed to the right side of the Data Management tab.
To gain access to functions in those collections, click the little eyeball next to “base” and “phylogeny.” Your screen should now look like this:
Navigate to the “analysis” tab
You are done with the Data Management tab, and will need to move to the “Analysis” tab to carry out your analysis. Click on the Analysis tab to switch. Your screen should now look like this:
Try out the picCorrelation function
We can now do some comparative analyses! Arbor has two types of analyses: functions and workflows. Later, we will build a workflow - but actually, for this problem, there is a single function that we can use to get output immediately.
The function we need is called picCorrelation, and it is part of the phylogeny package.
First, select this function (in the Select analysis dropdown menu). You can inspect the function by clicking “Show script” (this example is in R). You should see this:
You can now run the function by clicking the small blue button that says “> Setup and run.” This brings up a dialog box. Fill in the missing details in this box to analyze hostility (dep_variable) as a function of awesomeness (ind_variable). Choose the table and tree that you entered earlier, and set “plotPICs” to “yes.” Your form should look like this:
Now press “> Run” and see what happens. If your run works, you should see a success message:
Here, Arbor is telling us that the function had two outputs:
- picCorrelation picPlot, which is an image
- picCorrelation tableResults, which is a table
Let’s have a look at the outputs.
Visualize the outputs of the picCorrelation function
To see the outputs of an Arbor function (or workflow) we can go to the Visualization tab. Click on it now. Your screen should look like this:
Note that the top part of the screen did not change, but the bottom tabs and buttons did. That’s ok! Keep going.
We can look at the plot first. Set the “Select visualization” dropdown to “image”, and you should see your output, called “picCorrelation picPlot”, appear under “data.” To activate this visualization click on the blue Update button. The result should be a plot.
(You can see more of the plot by clicking on the small downward-facing arrow above the “Log In or Register” section of the screen).
Next, let’s see some numbers. Change “Select visualization” to “table”, and “data” to “picCorrelation tableResults.” Hit update again to see an ANOVA table summarizing the results of the phylogenetic regression.
The p-value is the top number in the column denoted “Pr(>F).”
Build a pic workflow
Now let’s try to harness the real power of Arbor by building a simple visual workflow for our analysis. For this part to work you need to be logged in! If you are not logged in you can run existing functions and workflows but you cannot create new ones. You can create an account in Arbor quite easily.
Follow the instructions on this page to create an account and start a private collection. Make sure to click on the “write” tab in your new collection, then come back here and finish the tutorial!
OK I will assume you did that. Now, go back to the “Analysis” tab. To start your workflow, type a name into the box under “Create new analysis,” then click the “+ New workflow” button. I am going to call my analysis “myPICWorkflow.”
Once you have done that, your new (empty) workflow will be available under the “Select analysis” tab. To confirm that it is there (and empty!), select it, and click “Show script.” As we’ll be building this workflow, you can also click “Edit.”
Now all of that empty white space is a blank canvass for your new workflow.
We will build our workflow in three steps:
- Select the function that we need, picCorrelation
- Link the function inputs that we need
- Link the function outputs that we need
For step one, use the drop-down menu labeled “Select analysis.” Find the picCorrelation function - it should be labeled “picCorrelation (phylogeny)” to let you know which collection it belongs with. Then click “+ Add to workflow” and you should see this function appear in the workflow as a block.
The function itself is a large rectangular block. The things sticking out on the left are inputs - you can see their type by hovering the mouse over each one. Squares are data matrices, triangles are phylogenies, and circles represent text values - typically, these circles control how the function works.
Now let’s make some inputs. Click on each of the input tabs for your function to automatically generate function input boxes.
These input boxes are blue to differentiate them from grey functions. They also only have output tabs, no inputs. All of the input boxes that you create will have to be specified by the user when you run the function, as you will see in a second.
In more complicated workflows later, you will use outputs from previous steps as inputs for the next - but don’t worry about that for now.
Beware! Sometimes new input blocks pop up right on top of function blocks - so it might look like nothing has happened. Don’t panic - just click on their center and drag them out of the way.
You can also rearrange the inputs to look nice.
Note: every tab for function input needs to be connected to something! Either a block that is specified by the user, or another part of the workflow.
Almost done - we only need to connect some outputs to see our results. We can do that in the same way that we created inputs - by clicking on function tabs, in this case on the output side, and creating output boxes.
Output boxes are the same color as input boxes but they only have connectors on the left side. Your workflow will create a different output object for each of the output boxes that you create.
You can arrange these to look nice too.
Run myPICWorkflow workflow
Once you have built your workflow, you need to save it before running.
If you just click run then Arbor will run the workflow as it was the last time you saved - which might not match the workflow you see on the screen!
Once you have saved, then click “Setup and run” to start the workflow. You will again have to specify inputs and options. Let’s do the same analysis we did before.
Now click “> Run.” If your workflow works you will see a green success message.
You will see that we have two new output objects, one is an image and one is a table. You can visualize both of them in the same way as above, using the “Visualization” tab.
If you made it this far, nice work - you built and ran an Arbor workflow!


Topics in Differential Geometry
Midterm and Final Projects
Description:
This is by far the largest component of the course. You will discover, explore, and attack a real world problem of your choosing. There are three types of projects you can work on, shown below in order of increasing difficulty:
- (1) Application of existing algorithm based on differential geometry to a new problem and potentially new data.
- (2) Algorithmic work. Extend an existing differential geometry algorithm or conceive a new one to solve some problem. This inherently includes the first option because you will need to test this new algorithm on data.
- (3) Theoretical work. Create a new learning algorithm based on differential geometric techniques.
Your final project can be an extension of your midterm project or you can start a new one. At any time during the course please feel free to come and discuss your problem and ask questions with the instructor or TAs.
Requirements:
All of the requirements below must be satisfied in order to receive full credits for the project:-
● Partner:
Partners allowed. But each person in the group is expected to do the same amount of work as if they are working on an individual project (minimum 8 pages of report per person) -
● Dataset:
You must use at least one dataset, which will be suitable for using differential geometry, as a significant part of your project. -
● Format:
Your submission must be submitted as a pdf in NIPS format. Note that this means you must use LaTeX with their style file. (NIPS, Neural Information Processing Systems, is one of the major machine learning conferences). -
● Code Style:
All code used in the production of your final report should be clean (suggested format) and placed into a public GitHub repository. Place a footnote to the URL of this Github repository somewhere in your final pdf. This is not required but it is recommended to place your code under some open-source license such as MIT.
Due Dates:
-
● Jan 31: Midterm Project Proposal
Typed (LaTeX) one page maximum explaining your problem, what data sets you are likely to use (you must find some candidates), and what methods (of those you know of) you think you might use. Note that this is not 100% final but it should be within some epsilon of your midterm project. -
● Feb 28: Midterm Project Presentation
Prepare about 15 minutes (per person) presentation detailing your progress towards your goal. You should specify the problem you work on, which algorithms you use, any research you have done to approach the problem and what you have found, any specific python libraries you use and , any necessary insight (mathematical or otherwise) you have conjured and proved, etc. You must show everything you have tried and be as detailed as possible. -
● March 7: Midterm Project Submission
Submission of the midterm project should be done electronically. It must include the Latex final report following NIPS format, all codes written for the project, the dataset, presentation (.pptx or .pdf) and any other files used. Must conform to the requirements above. If the dataset is too large to upload it to the Github, please contact instructor or TA for submission of the dataset. -
● March 19: Final Project Proposal
This final version of the final project proposal must be turned in before the class on May 19. No further extension. -
● May 2: Final Project Presentation
Prepare about 15 minutes (per person) presentation detailing your progress towards your goal. You should specify the problem you work on, which algorithms you use, any research you have done to approach the problem and what you have found, any specific python libraries you use and , any necessary insight (mathematical or otherwise) you have conjured and proved, etc. You must show everything you have tried and be as detailed as possible. -
● May 7: Final Project Submission
Submission of the final project should be done electronically. It must include the Latex final report following NIPS format, all codes written for the project, the dataset, presentation (.pptx or .pdf) and any other files used. Must conform to the requirements above. If the dataset is too large to upload it to the Github, please contact instructor or TA for submission of the dataset.


Guidance
This page has been withdrawn as it relates to a previous year and no longer reflects the current guidance. You can find more up-to-date guidance on the current page .
Guides to help academies and free schools understand their funding allocations.
These guides explain the elements that make up an academy’s funding allocation for the 2015 to 2016 academic year.
They include examples and explanations to help academies and free schools understand how the EFA calculates an allocation.
They explain:
Separate guides are available for mainstream and for special and alternative provision academies and free schools.
PDF , 886KB , 53 pages
Published: 11 February 2015
Updated: 14 March 2016
From: Education Funding Agency


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/iff.2Eassoc.html ---
Chris asked today if iff
was associative and a room full of mathematicians had no clue between them :-) We proved it by checking all 8 cases in Lean :-)
import tactic.finish open classical example (P Q R : Prop) : ((P ↔ Q) ↔ R) ↔ (P ↔ (Q ↔ R)) := begin cases (em P);cases (em Q);cases (em R);finish end
I was surprised that finish
didn't do it alone:
-- example (P Q R : Prop) : ((P ↔ Q) ↔ R) ↔ (P ↔ (Q ↔ R)) := by finish -- fails
I later found a better proof: if we break with convention and define true = 0 and false = 1 then iff is addition mod 2, and addition mod 2 is associative.
Is it true constructively? I struggled, but then again I am certainly no expert.
 I am now minded to look for a counterexample. @Kenny Lau to prove it's not constructively provable it would suffice to find some topological space with three subsets such that some random statement in topology is false, right?
I think tauto
should manage to prove it
done tactic failed, there are unsolved goals state: P Q R : Prop, a : P ↔ Q ↔ R, a_1 : P, a_2 : Q ⊢ R
Is tauto
constructive?
Kevin, don't you have serious math to formalize?
I think so
Blame Chris. He pointed out that when a mathematician writes A iff B iff C
, they mean A iff B, and B iff C, so A iff C
, i.e. iff.trans
. iff.assoc
is a different question entirely :-) It's like the 1 <= k <= n
thing.
Yes, I believe it sticks to classical lemmas and if your propositions are decidable, it can prove more
The original question is perfectly legit, it's the constructivist deviance that I frown upon.
I later found a better proof: if we break with convention and define true = 0 and false = 1 then iff is addition mod 2, and addition mod 2 is associative.
That sounds like a proof by transport of structure (-;
lemma em_of_iff_assoc : (∀ p q r : Prop, ((p ↔ q) ↔ r) ↔ (p ↔ (q ↔ r))) → ∀ p, p ∨ ¬p := λ h p, ((h (p ∨ ¬p) false false).1 ⟨λ h, h.1 (or.inr (λ hp, h.1 (or.inl hp))), λ h, h.elim⟩).2 iff.rfl #print axioms em_of_iff_assoc
[no axioms]
Aah yes that's another way of resolving this
I recall having this exact conversation with Kenny a while ago (prove LEM from iff assoc)
it was xor assoc
Did you prove XOR assoc -> em?
so here is a proof of LEM from xor assoc:
example (h : ∀ p q r, xor p (xor q r) ↔ xor (xor p q) r) {p} : p ∨ ¬ p := have ¬ xor p p, from λ h, h.elim (λ ⟨hp, np⟩, np hp) (λ ⟨hp, np⟩, np hp), have xor p (xor p true), from (h p p true).2 (or.inr ⟨trivial, this⟩), this.imp and.left and.right
by Mario
xor
is associative because if you label false as 0 and true as 1 then it's addition mod 2. I thought it was funny that iff could be proved associative with the other labelling. It's almost like this is a proof strat and then you make all labellings and find out what each labelling proves :-)
can we create a Kripke frame where ((p ↔ q) ↔ r) but not (p ↔ (q ↔ r))?
and
is associative because multiplication is associative, and or
is associative because multiplication is associative. nand
is not associative (however it is commutative, answering a question which an UG asked me last Oct -- "does commutative imply associative?")
Is a Kripke frame just a fancy name for a topological space in this context?
Kripke frame is a semantics for constructive logic
I think topological space is another semantics
topos!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


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The purpose of Triangle shall be to maintain a fraternity of engineers,
architects and scientists. It shall carry out its purpose by establishing chapters that
develop balanced men who cultivate high moral character, foster lifelong friendships, and
live their lives with integrity.
Formed in 2017, our group is the only STEM exclusive social fraternity at the UW Seattle campus. Our aim as a chapter is to promote academic growth and increase social interactions between the different STEM fields, thereby encouraging interdepartmental relations between both the well known and lesser known STEM fields.
Learn more about rushing Triangle or schedule a call with a brother to get to know someone new, hear about Triangle, and get your questions answered!
Rush Schedule a CallAt the University of Washington in Seattle, Washington. Go Huskies!
A fraternity is a group of men who share a bond of brotherhood. First and foremost, a fraternity is a tight knit community, which can be hard to find as you first come to college. Joining a fraternity means having access to a fun, social environment for your whole college career.
Triangle is the only social fraternity exclusive to STEM and architecture majors and one of the two non-Greek fraternities on campus. Triangle offers an alternative fraternity experience, with an emphasis on supporting each other and building our own community with traditions new and old.
Given that STEM and Architecture are both very challenging programs at UW, academics are our top priority. We ensure and expect brothers to succeed academically. We keep track of what classes our brothers are taking and can pair brothers in the same classes to study. We also have experienced older brothers to help tutor students. We care about our brother’s academics and are always making sure that everyone gets the support they need to succeed.
Come to one of the events on our rush page or contact us at<EMAIL_ADDRESS>Check out our Instagram page to see what we've been up to!
No, but we collectively rent out a house close to UW that is encouraged for members to live at. Rent prices tend to be cheaper at the house than at apartments or via school housing, featuring a great location, larger room sizes, and more. This is also where many brotherhood events occur throughout the year! Also, there are no fees if you do not want to live in this house, unlike at some other groups on campus.
No, we do not haze. We believe hazing is morally wrong. Our goal is to better our brothers, not subject them to abuse. Triangle has no tradition of hazing and we never intend to change that. With this in mind, we'd be excited to see you come to our events and get to know us! But remember, the choice to attend and stay is always yours. If you ever feel uncomfortable at one of our events, please don't be afraid to talk to one of our members about it!
Triangle is one out of a few fraternities that does not use greek letters. We use the delta T as our symbol.
President
Dane is a junior from Tacoma, WA and is the current President. He is majoring in Electrical Engineering and plans to employ his degree within the medical-technologies field. In his free time, Dane enjoys designing tattoo art, listening to music and snowboarding (in the few months that Washington actually gets snow).
Internal VP
Soren is a senior studying Computer Science, with a minor in Physics. He is currently the Traditions Vice President and Brotherhood Vice President. He was born and raised in Seattle, and went to Garfield High School. In his free time he enjoys playing Ultimate Frisbee for the UW Sundodgers, reading science fiction, and hanging out with brothers.
External VP
Julian is a sophomore from Southern California and is the External Vice President this year. Julian hopes to connect Triangle with larger organizations and help grow the chapter’s notoriety in the Seattle area. Julian enjoys hiking, ice hockey, and hanging out with friends.
Recruitment VP
Beau is a sophomore from Portland, OR, and the current Recruitment Vice President. He is majoring in Engineering and hopes to eventually apply his skills in the healthcare sector. Whether it’s going for a hike, playing pick-up basketball, or competing in a triathlon, he loves to be active. He also enjoys traveling, tabletop games, and exploring Seattle.
Adminstrative VP
Leon Leibmann is a sophomore majoring in computer science and is the current Administrative and Financial vice president. He comes from Redmond, WA where he enjoys the many nearby parks, playing hours of PVP video games and starting projects he knows he won't finish.
Eta Class, Recruitment Vice President
Congratulations to Jacob for winning the Brother of the Quarter Award!
As soon as Jacob became a member in the Fall of 2022 as a part of our Eta Class, he has consistently maintained a high level of passion and impact on the well-being of our chapter, and has helped consult on both short and long-term strategies. As a recently elected RVP, Jacob has already executed a successful recruitment season and continues to play a large role in the chapter's expansion over summer.
When not working hard, he's a great person to kick back and relax with, and always ready to crack a joke. We are excited to recognize Jacob for his success in embodying the character and values of a true leader within Triangle. Thank you!


{% from 'confirmation_dialog.html' import confirmation_dialog %} {% set ok_text=_("Delete events") %} {% set confirmation_message %} {% if num_bookings %} {% trans strong=''|safe, endstrong=''|safe -%} Please note that if you delete the events you will lose all the information contained in them, {{ strong }}including {{ num_bookings }} Room Booking(s){{ endstrong }}. This operation is irreversible! {%- endtrans %} {% else %} {% trans -%} Please note that if you delete the events you will lose all the information contained in them. This operation is irreversible! {%- endtrans %} {% endif %} {% endset %} {% if events %} {% call confirmation_dialog('danger', message=confirmation_message, ok_text=ok_text) %} {% trans count=events|length -%} You are about to delete the following event: {%- pluralize -%} You are about to delete the following {{ count }} events: {%- endtrans %}


Coroner unable to solve mysterious death of Ms Hansen on Bull Creek road
The mysterious death of a mother of two found lying on a Perth road with head injuries is unlikely to ever be solved after potentially important CCTV footage was inadvertently erased, a coroner has found.
Ms Hansen, whose first name is not used for cultural reasons, was found by a passer-by and died at Fiona Stanley Hospital in June 2016.
The 25-year-old may have sustained the injuries by being struck with a blunt object, hit by a glancing blow from a vehicle or falling while trying to avoid a car, Coroner Michael Jenkin said in his findings released on Wednesday.
He said it was impossible to say whether she was assaulted, and a police investigation failed to identify anyone likely to have been responsible.
Two officers viewed CCTV footage from a house shortly after Ms Hansen was found but it was inadvertently erased.
Mr Jenkin said that significantly hampered the investigation and the CCTV recorder should have been seized immediately, especially because the footage could not be downloaded.
He made an open finding into Ms Hansen’s manner of death.
“This is obviously a very unsatisfactory state of affairs and no doubt adds to the angst and grief that the deceased’s family and friends feel with respect to her tragic death,” he said.
Ms Hansen had attended a gathering at a Willetton property, and at about 10pm home occupier Preston Culbong called police to disperse the group, the West Australian Coroners Court heard.
Before police arrived, Ms Hansen had a physical fight with her boyfriend Steven Pickett - who was on bail and was not supposed to be in contact with her - and he punched her to the side of the head.
Mr Pickett left when police arrived but returned later and had another fight with Ms Hansen.
At about 11.30pm, Mr Culbong drove Mr Pickett and another man to Bullcreek train station, then agreed to take Ms Hansen to the station too.
But during the drive they had an argument and Ms Hansen threatened to tell Mr Pickett she had had sex with Mr Colbung, so he stopped the car and gave her directions to walk to the station.
It was raining at about 12.15am when a driver saw Ms Hansen lying on the road, some 1.8km from where Mr Culbong said he dropped her off, and called emergency services but she could not be saved.
Mr Jenkin noted Mr Culbong had denied any involvement in Ms Hansen’s death and found there was no cogent evidence to link him to it.
He also said it was possible another vehicle picked up Ms Hansen after Mr Culbong dropped her off.


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Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 4
This hearty Italian soup is made with pasta and beans. This soup is great for batch cooking, just divide into portions and pop in the freezer and wonderfully warming soup will never be far from your bowl.
Each serving provides 352kcal, 24g protein, 29g carbohydrate (of which 9.5g sugars), 14g fat (of which 4g saturates), 8.5g fibre and 1.5g salt.
Put a large frying pan over a low heat, add the lardons and cook for 10 minutes until crisp, golden and the fat has run from the meat. Transfer onto a plate.
Tip the carrots, celery and onion into the bacon fat and fry for two minutes before adding the garlic, herbs and tomato purée. Cook for 1 minute, then add the tomatoes and most of the stock. Bring to the boil. Carefully transfer the soup to a slow cooker, cover with the lid, then cook on high for 4 hours until the vegetables are tender.
Stir the beans and pasta into the soup, adding the rest of the stock if it seems overly thick. Scatter the shredded greens over the top of the soup, then re-cover with the lid. Cook for 30 minutes until the pasta is tender. Stir in the greens, season with salt and pepper, then serve in bowls with a drizzle of oil and plenty of parmesan.


Flink’s Table & SQL API makes it possible to work with queries written in the SQL language, but these queries need to be embedded within a table program that is written in either Java or Scala. Moreover, these programs need to be packaged with a build tool before being submitted to a cluster. This more or less limits the usage of Flink to Java/Scala programmers.
The SQL Client aims to provide an easy way of writing, debugging, and submitting table programs to a Flink cluster without a single line of Java or Scala code. The SQL Client CLI allows for retrieving and visualizing real-time results from the running distributed application on the command line.
Attention The SQL Client is in an early development phase. Even though the application is not production-ready yet, it can be a quite useful tool for prototyping and playing around with Flink SQL. In the future, the community plans to extend its functionality by providing a REST-based SQL Client Gateway.
This section describes how to setup and run your first Flink SQL program from the command-line.
The SQL Client is bundled in the regular Flink distribution and thus runnable out-of-the-box. It requires only a running Flink cluster where table programs can be executed. For more information about setting up a Flink cluster see the Cluster & Deployment part. If you simply want to try out the SQL Client, you can also start a local cluster with one worker using the following command:
The SQL Client scripts are also located in the binary directory of Flink. In the future, a user will have two possibilities of starting the SQL Client CLI either by starting an embedded standalone process or by connecting to a remote SQL Client Gateway. At the moment only the embedded
mode is supported. You can start the CLI by calling:
By default, the SQL Client will read its configuration from the environment file located in ./conf/sql-client-defaults.yaml
. See the configuration part for more information about the structure of environment files.
Once the CLI has been started, you can use the HELP
command to list all available SQL statements. For validating your setup and cluster connection, you can enter your first SQL query and press the Enter
key to execute it:
This query requires no table source and produces a single row result. The CLI will retrieve results from the cluster and visualize them. You can close the result view by pressing the Q
key.
The CLI supports two modes for maintaining and visualizing results.
The table mode materializes results in memory and visualizes them in a regular, paginated table representation. It can be enabled by executing the following command in the CLI:
The changelog mode does not materialize results and visualizes the result stream that is produced by a continuous query consisting of insertions (+
) and retractions (-
).
You can use the following query to see both result modes in action:
This query performs a bounded word count example.
In changelog mode, the visualized changelog should be similar to:
In table mode, the visualized result table is continuously updated until the table program ends with:
Both result modes can be useful during the prototyping of SQL queries. In both modes, results are stored in the Java heap memory of the SQL Client. In order to keep the CLI interface responsive, the changelog mode only shows the latest 1000 changes. The table mode allows for navigating through bigger results that are only limited by the available main memory and the configured maximum number of rows (max-table-result-rows
).
Attention Queries that are executed in a batch environment, can only be retrieved using the table
result mode.
After a query is defined, it can be submitted to the cluster as a long-running, detached Flink job. For this, a target system that stores the results needs to be specified using the INSERT INTO statement. The configuration section explains how to declare table sources for reading data, how to declare table sinks for writing data, and how to configure other table program properties.
The SQL Client can be started with the following optional CLI commands. They are discussed in detail in the subsequent paragraphs.
A SQL query needs a configuration environment in which it is executed. The so-called environment files define available table sources and sinks, external catalogs, user-defined functions, and other properties required for execution and deployment.
Every environment file is a regular YAML file. An example of such a file is presented below.
This configuration:
MyTableSource
that reads from a CSV file,MyCustomView
that declares a virtual table using a SQL query,myUDF
that can be instantiated using the class name and two constructor parameters,table
result mode.Depending on the use case, a configuration can be split into multiple files. Therefore, environment files can be created for general purposes (defaults environment file using --defaults
) as well as on a per-session basis (session environment file using --environment
). Every CLI session is initialized with the default properties followed by the session properties. For example, the defaults environment file could specify all table sources that should be available for querying in every session whereas the session environment file only declares a specific state retention time and parallelism. Both default and session environment files can be passed when starting the CLI application. If no default environment file has been specified, the SQL Client searches for ./conf/sql-client-defaults.yaml
in Flink’s configuration directory.
Attention Properties that have been set within a CLI session (e.g. using the SET
command) have highest precedence:
Restart strategies control how Flink jobs are restarted in case of a failure. Similar to global restart strategies for a Flink cluster, a more fine-grained restart configuration can be declared in an environment file.
The following strategies are supported:
The SQL Client does not require to setup a Java project using Maven or SBT. Instead, you can pass the dependencies as regular JAR files that get submitted to the cluster. You can either specify each JAR file separately (using --jar
) or define entire library directories (using --library
). For connectors to external systems (such as Apache Kafka) and corresponding data formats (such as JSON), Flink provides ready-to-use JAR bundles. These JAR files can be downloaded for each release from the Maven central repository.
The full list of offered SQL JARs and documentation about how to use them can be found on the connection to external systems page.
The following example shows an environment file that defines a table source reading JSON data from Apache Kafka.
The resulting schema of the TaxiRide
table contains most of the fields of the JSON schema. Furthermore, it adds a rowtime attribute rowTime
and processing-time attribute procTime
.
Both connector
and format
allow to define a property version (which is currently version 1
) for future backwards compatibility.
The SQL Client allows users to create custom, user-defined functions to be used in SQL queries. Currently, these functions are restricted to be defined programmatically in Java/Scala classes.
In order to provide a user-defined function, you need to first implement and compile a function class that extends ScalarFunction
, AggregateFunction
or TableFunction
(see User-defined Functions). One or more functions can then be packaged into a dependency JAR for the SQL Client.
All functions must be declared in an environment file before being called. For each item in the list of functions
, one must specify
name
under which the function is registered,from
(restricted to be class
for now),class
which indicates the fully qualified class name of the function and an optional list of constructor
parameters for instantiation.Make sure that the order and types of the specified parameters strictly match one of the constructors of your function class.
Depending on the user-defined function, it might be necessary to parameterize the implementation before using it in SQL statements.
As shown in the example before, when declaring a user-defined function, a class can be configured using constructor parameters in one of the following three ways:
A literal value with implicit type: The SQL Client will automatically derive the type according to the literal value itself. Currently, only values of BOOLEAN
, INT
, DOUBLE
and VARCHAR
are supported here.
If the automatic derivation does not work as expected (e.g., you need a VARCHAR false
), use explicit types instead.
A literal value with explicit type: Explicitly declare the parameter with type
and value
properties for type-safety.
The table below illustrates the supported Java parameter types and the corresponding SQL type strings.
| Java type | SQL type |
|---|---|
java.math.BigDecimal |
DECIMAL |
java.lang.Boolean |
BOOLEAN |
java.lang.Byte |
TINYINT |
java.lang.Double |
DOUBLE |
java.lang.Float |
REAL , FLOAT |
java.lang.Integer |
INTEGER , INT |
java.lang.Long |
BIGINT |
java.lang.Short |
SMALLINT |
java.lang.String |
VARCHAR |
More types (e.g., TIMESTAMP
or ARRAY
), primitive types, and null
are not supported yet.
A (nested) class instance: Besides literal values, you can also create (nested) class instances for constructor parameters by specifying the class
and constructor
properties.
This process can be recursively performed until all the constructor parameters are represented with literal values.
In order to define end-to-end SQL pipelines, SQL’s INSERT INTO
statement can be used for submitting long-running, detached queries to a Flink cluster. These queries produce their results into an external system instead of the SQL Client. This allows for dealing with higher parallelism and larger amounts of data. The CLI itself does not have any control over a detached query after submission.
The table sink MyTableSink
has to be declared in the environment file. See the connection page for more information about supported external systems and their configuration. An example for an Apache Kafka table sink is shown below.
The SQL Client makes sure that a statement is successfully submitted to the cluster. Once the query is submitted, the CLI will show information about the Flink job.
Attention The SQL Client does not track the status of the running Flink job after submission. The CLI process can be shutdown after the submission without affecting the detached query. Flink’s restart strategy takes care of the fault-tolerance. A query can be cancelled using Flink’s web interface, command-line, or REST API.
Views allow to define virtual tables from SQL queries. The view definition is parsed and validated immediately. However, the actual execution happens when the view is accessed during the submission of a general INSERT INTO
or SELECT
statement.
Views can either be defined in environment files or within the CLI session.
The following example shows how to define multiple views in a file. The views are registered in the order in which they are defined in the environment file. Reference chains such as view A depends on view B depends on view C are supported.
Similar to table sources and sinks, views defined in a session environment file have highest precedence.
Views can also be created within a CLI session using the CREATE VIEW
statement:
Views created within a CLI session can also be removed again using the DROP VIEW
statement:
Attention The definition of views in the CLI is limited to the mentioned syntax above. Defining a schema for views or escaping whitespaces in table names will be supported in future versions.
A temporal table allows for a (parameterized) view on a changing history table that returns the content of a table at a specific point in time. This is especially useful for joining a table with the content of another table at a particular timestamp. More information can be found in the temporal table joins page.
The following example shows how to define a temporal table SourceTemporalTable
:
As shown in the example, definitions of table sources, views, and temporal tables can be mixed with each other. They are registered in the order in which they are defined in the environment file. For example, a temporal table can reference a view which can depend on another view or table source.
The current SQL Client implementation is in a very early development stage and might change in the future as part of the bigger Flink Improvement Proposal 24 (FLIP-24). Feel free to join the discussion and open issue about bugs and features that you find useful.


{% load wagtailcore_tags wagtailimages_tags dalme_public_tags %} {% include "dalme_public/includes/_breadcrumbs.html" %}


Plateau United continue bright start as Akwa Starlets stun Enugu Rangers
by Christian OkparaAnother game, another victory. Plateau United are on a roll in the five-week-old Nigerian Professional Football League and it doesn’t matter the arena.
Yesterday, the venue was the Stephen Keshi Stadium, Asaba, home of Delta Force, yet the Jos boys ran away with a 3-1 victory.
There were three away victories in the league at the weekend, but Akwa Starlets’ defeat of Enugu Rangers at the Nnamdi Azikiwe Stadium will rank as the biggest of them all.
Plateau United was held to a 1-1 draw by Nasarawa United in Week Four, but they made sure of all the points in Asaba despite gong down early to a Kazie Enyinnaya’s 38th-minute penalty.
Matters were even in the 44th minute through Uche Onwuasoanya before Michael Ibeh and Ibrahim Mustapha scored in the second half to hand Plateau United all the points.
They are still on top of the NPFL log with 13 points.
Akwa Starlets pilled more pressure on Coach Ben Ugwu when they defeated Enugu Rangers 2-0 at the Nnamdi Azikiwe Stadium.
The Flying Antelopes lost 1-2 to Rivers United in midweek and hoped for a better day at home when the newly promoted Starlets came calling. But they succumbed to first-half goals from Femi Ajayi and Isaac George.
Elsewhere in Aba, Enyimba turned back Adamawa United with a 2-0 victory courtesy of first-half goals from the boots of Victor Mbaoma.
Kano Pillars were held to a goalless draw by Wikki Tourists, just as FC Ifeanyi Ubah and Lobi ended, as well Heartland and Jigawa Golden Stars ended theirs also goalless.
Katsina United defeated Sunshine Stars 2-0 courtesy of goals from Tasiu Lawal and Mohamed Gambo, while MFM FC lost 0-1 to Abia Warriors after falling to a sixth-minute strike from Oghenetega Ebetomane.


Career Profile
I am hard working and self taught developer. I started by reading different codes, on diffrent languages. I specialise in Java and HTML5. I am an avid developer and would like to see myself as one of the leading developers in the wolrd.. You can view my portfolio here My Portfolio.
Experiences
I currently work as a Distribution Control System Operator, I am responsible for opearion a console in order to produce finished products like LPG, DIESEL and PETROL. I am responsible for making sure that the products are on spec and meet the required standards.
I was responsible for daily operation of the plant. I was sampling, inspecting the plant, routine maintenance and housekeeping. And making sure products are on spec.
I was a machine operator and responsible for producing different wire products.
Projects
Below is a list of some my apps that are published on app store.


You play by using your fist to make a rock, a paper, or a scissors. Your oppenent does the same The winner is decided by taking the two entries from the players and comparing them to a set of pre-decided outcomes that are as follows:
Last edited March 24, 2018 by Kody Rogers


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From:Geaccone To:Miller Sent:2017-01-11T04:39:46.0000000Z Subject:RE: NNG Commercial "Worry List for 2002"
I do not have a copy. Steve Harris sent to Danny directly.
-----Original Message-----
From: Miller, Mary Kay
Sent: Monday, October 08, 2001 6:11 PM
To: Gilbert, Steve; Geaccone, Tracy
Subject: RE: NNG Commercial "Worry List for 2002"
Tracy, can you send us a copy of what was submitted for TW- thanks MK
-----Original Message-----
From: Gilbert, Steve
Sent: Monday, October 08, 2001 1:04 PM
To: Miller, Mary Kay
Subject: FW: NNG Commercial "Worry List for 2002"
-----Original Message-----
From: Gilbert, Steve
Sent: Friday, October 05, 2001 11:27 AM
To: McCarty, Danny
Cc: Miller, Kent; Neubauer, Dave; Geaccone, Tracy; Keiser, John
Subject: NNG Commercial "Worry List for 2002"
Per your request, attached is the 2002 "Worry list for NNG Commercial.
<< File: worry_list 2002.doc >>
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
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California


Targeted minimum loss-based estimators of counterfactual means and causal effects that are doubly-robust with respect both to consistency and asymptotic normality (Benkeser et al (2017), <doi:10.1093/biomet/asx053>; MJ van der Laan (2014), <doi:10.1515/ijb-2012-0038>).
| Version: | 1.0.3 |
| Depends: | R (≥ 3.2.0) |
| Imports: | SuperLearner, plyr, np, future, doFuture, future.apply, future.batchtools |
| Suggests: | testthat, knitr, rmarkdown, gam, earth, quadprog, nloptr, parallel, snow, foreach |
| Published: | 2018-07-02 |
| Author: | David Benkeser [aut, cre, cph], Nima Hejazi [ctb] |
| Maintainer: | David Benkeser <benkeser at emory.edu> |
| BugReports: | https://github.com/benkeser/drtmle/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/benkeser/drtmle |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | drtmle results |
| Reference manual: | drtmle.pdf |
| Vignettes: |
drtmle: Doubly-Robust Inference in R |
| Package source: | drtmle_1.0.3.tar.gz |
| Windows binaries: | r-devel: drtmle_1.0.3.zip, r-release: drtmle_1.0.3.zip, r-oldrel: drtmle_1.0.3.zip |
| OS X binaries: | r-release: drtmle_1.0.3.tgz, r-oldrel: drtmle_1.0.3.tgz |
| Old sources: | drtmle archive |
Please use the canonical form https://CRAN.R-project.org/package=drtmle to link to this page.


In my free time, I love to explore the world, I record my journey with camera. It has always been my favorie thing to do; Besides, I have a big crash on outdoor activities as well. I love hiking, snow-walking, swimming, any kind of ways to feel the nature; All the photos displayed in this page are stored using AWS S3 bucket.


IAS 32, Financial instruments: disclosure and presentation requires an entity to split a compound financial instrument at inception into separate liability and equity components. If the liability component is no longer outstanding, retrospective application of IAS 32 involves separating two portions of equity. The first portion is in retained earnings and represents the cumulative interest accreted on the liability component. The other portion represents the original equity component. However, under this IFRS, a first-time adopter need not separate these two portions if the liability component is no longer outstanding at the date of transition to IFRS. Click Next to continue. |


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Park Hill is a giant, concrete Brutalist structure that started life as a bustling new home for council tenants in the late 1950s. It was one of the most ambitious inner-city housing projects of its era and has become something of a local landmark. Controversially it was Grade II listed in 1998 making it the largest listed building in Europe.
Three-metre-wide communal walkways – known as the "streets in the sky" promoted by Le Corbusier's Unité d'Habitation – were designed as a modern replacement for the cobbled terraces of the former slums. They were wide enough to let a milk float go by or to allow children to play outdoor games, and were planned to encourage neighbours to interact with one another as they might on a regular street.
Sadly, Park Hill soon became notorious for its crime and drug problems. The building was eventually condemned as a concrete eyesore and is hated by many in Sheffield. Over the past few years, award-winning property developers, Urban Splash, have taken it on as a huge regeneration project and made some of the space available for commercial use, alongside residential and social housing.