Let me give you some examples: You can us groupstats.io to analyze how the relationship with your partner is evolving over time. You can analyze group chats to see who talks the most. You can identify who is most emotional in chats... and much much more.
You can export WhatsApp chats with all mobile devices. You can upload chats with Android or your desktop computer. You can then share and view stats on all devices, including desktops.
We don't store your chats. When you upload your chat, we analyze it and then drop the data. We keep the meta data so you are able to easily share your stats.


Before Change
approximate_times = []
for time in times:
approximate_times.append((time + AROUND_RANGE) % HOURS_IN_DAY)
// The number system is not base 10 here, there are 60 minutes
// in an hour, so we can"t simply add time - AROUND_RANGE.
approximate_times.append((time - HOUR_TO_TWENTY_FOUR + AROUND_RANGE) % HOURS_IN_DAY)
return approximate_times
After Change
approximate_time = datetime.now()
approximate_time = approximate_time.replace(hour=hour, minute=minute)
start_time_range = approximate_time - timedelta(minutes=30)
end_time_range = approximate_time + timedelta(minutes=30)
approximate_times.extend([start_time_range.hour * HOUR_TO_TWENTY_FOUR + start_time_range.minute,
end_time_range.hour * HOUR_TO_TWENTY_FOUR + end_time_range.minute])


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Basse Terre is the capital of Guadeloupe and is on the western side at the southern tip of the island of the same name.
Position 15° 58'55"N, 61° 43'W (marina entrance).
There is a Customs office in town, however it is easier to use the clearance computer at the marina.
The whole of the northern side of the Marina is full of restaurants and bars on the waterfront. The Barracuda, in the middle, has a computer for clearance.
Last updated March 2015.
The marina is approx. a mile south of the town. Whilst it does not have space to accommodate catamarans, there is a pontoon at the entrance to the marina reserved for visiting yachts, which usually has space for a few nights. There is also a good fuel dock.
It is possible to anchor just north of the entrance. The holding here is good, but take care to remain on the shallower bank as the water around it is very deep.
Around the marina is a bakery, butcher, vegetable shop, small chandlery, mini-mart as well as a plethora of bars. There is a nice little beach behind the marina. A half hour walk along the promenade takes you into town with larger supermarkets for full provisioning.
Last updated March 2015.


{% extends "base.html"%} {% load static %} {% block title %} Full Adder using Half Adders {% endblock %} {% block content%}
Remember what we talked about instantiation? In this article, we are going to design a full adder by instantiating the Half Adder circuit we did previously.
Before we jump into the code, let us develop some intuition. In Digital Design, we try to minimise the development of custom hardware, unless the target functionality has widespread application. So when we look at a circuit or expression, we must think of reusability. Do I need to write this from scratch? Can I combine any previous design(s) to get this? With this in mind, you may proceed further.
Let us do a comparative study of half adder and full adder.
Notice anything similar?
Now, take another half adder. So we have two XOR gates and two AND gates to our expense. Have a look at the full adder circuit again. We got two AND, we got two XOR. We are just missing an OR gate. So we add an OR gate to our two half adder circuits, and voila! We have our Full Adder! Amazing, isn’t it?
Take a look at the final circuit which is a combination of two half adder circuits and an OR gate.
Now, let us write the code for this circuit.
Note: - Our half adder module was named as ‘half_adder’
module full_half_adder(
input a, b, ci,
output s, c
);
wire w1, w2, w3;
half_adder ha1 (a, b, w1, w2); // w1 - XOR output, w2 - AND output
half_adder ha2 (w1, ci, s, w3); // s- XOR output(final sum), w3 - AND output
or G1(c, w3, w2);
endmodule
Once you are done with the design, write a testbench to verify its functionality. You may use the same testbench we wrote to test the custom full adder circuit, in the previous article. (Given below for reference)
Just make sure that you are not testing the custom full adder design. You may keep separate module names to avoid this.
Check the simulation outputs and if you are using the same one, make sure the simulation waveforms match.
module test_fulladder();
reg a, b, ci;
wire s, c;
full_half_adder test(a, b, ci, s, c); //testing the new design module :)
initial
begin
a = 1'b0;
b = 1'b0;
ci = 1'b0;
#20 a = 1'b0;
b = 1'b0;
ci = 1'b1;
#20 a = 1'b0;
b = 1'b1;
ci = 1'b0;
#20 a = 1'b0;
b = 1'b1;
ci = 1'b1;
#20 a = 1'b1;
b = 1'b0;
ci = 1'b0;
#20 a = 1'b1;
b = 1'b0;
ci = 1'b1;
#20 a = 1'b1;
b = 1'b1;
ci = 1'b0;
#20 a = 1'b1;
b = 1'b1;
ci = 1'b1;
end
initial
#200 $finish;
endmodule
Have a look at the simulation waveform generated in Vivado.


nips nips2001 nips2001-161 nips2001-161-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Bram Bakker
Abstract: This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage(,x) learning and directed exploration can solve non-Markovian tasks with long-term dependencies between relevant events. This is demonstrated in a T-maze task, as well as in a difficult variation of the pole balancing task. 1
[1] B. Bakker. Reinforcement learning with LSTM in non-Markovian tasks with longterm dependencies. Technical report, Dept. of Psychology, Leiden University, 2001.
[2] L. Chrisman. Reinforcement learning with perceptual aliasing: The perceptual distinctions approach. In Proc. of the 10th National Conf. on AI AAAI Press, 1992.
[3] F. Gers, J. Schmidhuber, and F. Cummins. Learning to forget: Continual prediction with LSTM. Neural Computation, 12 (10):2451-2471, 2000.
[4] M. E. Harmon and L. C. Baird. Multi-player residual advantage learning with general function approximation. Technical report, Wright-Patterson Air Force Base, 1996.
[5] S. Hochreiter and J. Schmidhuber. Long short-term memory. Neural Computation, 9 (8):1735-1780, 1997.
[6] L.-J. Lin and T. Mitchell. Reinforcement learning with hidden states. In Proc. of the 2nd Int. Conf. on Simulation of Adaptive Behavior. MIT Press, 1993.
[7] J. Loch and S. Singh. Using eligibility traces to find the best memoryless policy in Partially Observable Markov Decision Processes. In Proc. of ICML'98, 1998.
[8] R. A. McCallum. Learning to use selective attention and short-term memory in sequential tasks. In Proc. 4th Int. Conf. on Simulation of Adaptive Behavior, 1996.
[9] L. Peshkin, N. Meuleau, and L. P. Kaelbling. Learning policies with external memory. In Proc. of the 16th Int. Conf. on Machine Learning, 1999.
[10] J. Schmidhuber. Networks adjusting networks. In Proc. of Distributed Adaptive Neural Information Processing, St. Augustin, 1990.
[11] J. Schmidhuber. Curious model-building control systems. In Proc. of IJCNN'91, volume 2, pages 1458-1463, Singapore, 1991.
[12] R. S. Sutton and A. G. Barto. Reinforcement learning: An introduction. MIT Press, Cambridge; MA, 1998.


Methods
cross(otherView) → {View}
Create a new View containing all elements of the cartesian product of the callee and the argument as Pair.
Parameters:
| Name | Type | Description |
|---|---|---|
otherView |
View | View |
Returns:
Contains every combination of both input Views as two-element Array.
- Type
- View
delay(delayTime) → {View}
Delays the propagation of items of the callee.
Items are propagated to the returned View in View#delay.delayTime milliseconds,
if they are not removed from the callee before the timeout.
Parameters:
| Name | Type | Description |
|---|---|---|
delayTime |
Number | the time to delay given in milliSeconds. |
Returns:
- Type
- View
enter(callback) → {View}
Takes a callback that consumes a single parameter. This callback is called whenever an object is added to the reactive set with that very object.
Parameters:
| Name | Type | Description |
|---|---|---|
callback |
View~enterCallback | this is executed everytime an object is added to the set |
Returns:
The callee of this method.
- Type
- View
exit(callback) → {View}
Similar to \texttt{enter}, but the callback is called everytime an object is removed from the set.
Parameters:
| Name | Type | Description |
|---|---|---|
callback |
View~exitCallback |
Returns:
The callee of this method.
- Type
- View
filter(iterator) → {View}
Takes an additional filter function and returns a reactive object set. That set only contains the objects of the original set that also match the given filter function.
Parameters:
| Name | Type | Description |
|---|---|---|
iterator |
View~filterIterator |
Returns:
The callee of this method.
- Type
- View
layer(partialBehavior) → {View}
Define partial behavior attached to each object while it is contained in the set.
Parameters:
| Name | Type | Description |
|---|---|---|
partialBehavior |
Object | the mixin to be applied. |
Returns:
The callee of this method.
- Type
- View
map(iterator) → {View}
Takes a mapping function and returns another reactive object set. That set always contains the mapped objects corresponding to the objects in the original set.
Parameters:
| Name | Type | Description |
|---|---|---|
iterator |
View~mapIterator |
Returns:
The callee of this method.
- Type
- View
now() → {Array}
Returns an Array of the objects that are currently in the set. This Array does not update automatically.
Returns:
- Type
- Array
reduce(callback, reducer, initialValue) → {View}
Whenever the callee is modified, this calls the given callback with the reduced value.
Parameters:
| Name | Type | Description |
|---|---|---|
callback |
View~reduceCallback | |
reducer |
View~reducer | |
initialValue |
the initial value passed to the {@View~reducer}. |
Returns:
the callee
- Type
- View
size() → {Number}
Returns the current number of objects the set contains.
Returns:
- Type
- Number
union(otherView) → {View}
Create a new View containing all elements of the callee and the argument.
Parameters:
| Name | Type | Description |
|---|---|---|
otherView |
View | View |
Returns:
Contains every object of both input Views.
- Type
- View
Type Definitions
enterCallback(item)
This callback is call whenever an item is added to this View.
Parameters:
| Name | Type | Description |
|---|---|---|
item |
Object | the item that was just added to the View. |
exitCallback(item)
This callback is call whenever an item is removed from this View.
Parameters:
| Name | Type | Description |
|---|---|---|
item |
Object | the item that was just removed from the View. |
filterIterator(item) → {Boolean}
The callback function called to determine whether an Object is in the derived View.
Parameters:
| Name | Type | Description |
|---|---|---|
item |
Object | item from the original View. |
Returns:
- Type
- Boolean
mapIterator(item) → {Object}
The callback that computes the item to be added to the mapped View.
Parameters:
| Name | Type | Description |
|---|---|---|
item |
Object | item from the original View. |
Returns:
mapped item
- Type
- Object
reduceCallback()
The callback that is invoked when the View changes.
reducer(accumulator, item) → {Object}
The callback that computes the aggregation of the modified View.
Parameters:
| Name | Type | Description |
|---|---|---|
accumulator |
Object | |
item |
Object |
Returns:
- Type
- Object


The critical depth will be calculated using respiration and light intensity values. These values are passed into Sverdrups Critical Depth Model. If the critical depth matches the mix layer depth an algea bloom will occur.
Students will use the Sverdrup critical-depth model to explore the conditions necessary to initiate a spring bloom.
Adjust the sliders to the left to change the irradiance, respiration, and mixing layer depth. Once sufficient values are reached for the mathematical model, the tank will change color to describe a spring bloom.
These sliders allow the user to change average irradiance level the water layer will recieve usually following the angle of the sun in relation to the waterways position. As well as the depth of the mixing layer and level of phytoplankton respiration. These inputs are processed by the mathematical model which describes Sverdrups theory and reflected by changes in the. The relation between light and respiration is examined.


Services:
- Post-Traumatic Stress Disorder:
Happens after a person is exposed to a stressful incident
of any sort, that exceeds their natural ability to cope.
If left untreated it can lead to depression, anxiety,
or drug abuse. Individuals may experience symptoms
and not yet have the disorder.
-
Offered Services:
- Children
- A therapeutic approach that allows children to
express their thoughts and emotions by using
specific games and toys.
- Couples
- Utilizes an emotionally based approach that assists
couples in learning about negative and positive
communications, which promotes healthy ways of
dealing with conflict.
- Families
- Families will learn to deal with daily life stressors in a
positive way, learning to eliminate irrational beliefs from their thinking.
- Greif
- Helpful for those that have experienced loss.
Individuals will learn to deal with divorce,
death of friends, relatives sometimes even pets.
Teaching individuals how to return to normal life.
- Individual
- Helps people to learn positive coping skills and to live
healthy lives
- Post-Traumatic Stress Disorder (PTSD)
-
Designed to assist an individuals to better understand their disorder and find a way to live beyond it.
- Life Coaching
- A technique used to help individuals dispose of
hindering habits. Helps achieve success in business.


public class PopupTuple
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
boolean |
dynamicPopup
Whether the
IPopupPositioner is dynamic. |
IPopupPositioner |
popupPos
The
IPopupPositioner to be used. |
IScrollSize |
popupSize
The scroll behavior for the pop-up component.
|
| Constructor and Description |
|---|
PopupTuple(IPopupPositioner popupPos,
boolean dynamicPopup,
IScrollSize popupSize)
Constructor.
|
public final IPopupPositioner popupPos
IPopupPositioner
to be used.public final boolean dynamicPopup
IPopupPositioner
is dynamic.public final IScrollSize popupSize
public PopupTuple(IPopupPositioner popupPos, boolean dynamicPopup, IScrollSize popupSize)
popupPos
- the value for popupPos
dynamicPopup
- the value for dynamicPopup
popupSize
- the value for popupSize


This whole experience started when I first learned about Speed Balling. I was watching something on TV I think it was called Vice squad or something like that. It was a cop show, not a fictional one but a real one it was sort of a documentary a lot like Cops (the show) but, only dealing with drugs, prostitution and gambling in some area (I forgot) of San Francisco. My curiosity sparked when a cop started talking about Speed Balling, which is traditionally injecting both Heroin and Cocaine.
I went on the Internet later to look for information, and found that Speed Balling was also a well know term for injecting Methamphetamine and Heroin. I also learned that Speed Balling was also a term used to describe mixing uppers and downers. I also read of health risks saying that it was bad for the heart and a few other things too. However I still wanted to try it because trying something once or even many times as long as its not consistent or something that I do continually has never really effected my life or my health much. But, before I go into my experience let me tell you a little about my drug history. The first drug I ever tried was Alcohol after that it was:
2: Tobacco
3: Weed
4: Amphetamines (Adderall)
5: Dxm
6: Cocaine (powder)
7: Vicodin
8: NutMeg
After I had tried these drugs I became a huge Pothead. I was using as much as I possibly could afford and because I am only 17 (16 when I started) I don't really have to support myself, so all the money I made from my job went to buying Weed, pipes and other Weed paraphernalia. The greatest part was that because I lived in California I was getting the best Weed in the country, often times from the Club. That meant I was always guaranteed to get really blasted no matter what kind of weed I was buying.
Good things do however go away, as my dealer and my friend that I also got Weed from both basically pooped out on me. My friend simply stopped being reliable and I found myself fronting money to him all the time although sometimes he came though eventually a bunch of stuff happened that got me really frustrated and I vowed never to buy from or smoke with him again. Then much later my dealer quit and stopped selling. Since I moved to a very small private school at this point I no longer had access to a large public high school where I could make connections. At this point I got desperate and started using my prescription Adderall from when I was a kid, to get high much more often then I usually did and tried DXM a few more times as well.
Now to my experience, it was around 10:00 AM when I decided I really wanted to get high and try something new, I quickly considered Speed Balling with Adderall and Vicodin and decided that I would do it. The only problem was that my dad who had been prescribed Vicodin for an injury a while ago and had only three pills left because I had taken most of them, knowing that he would never notice as long as a few remained because he doesn’t take them anymore.
I built up the courage to steal one (plenty enough for me to feel the effects). I then took one of my 20mg Adderall pills and broke it in half so that it would be 10 mgs. This may seem like a low amount but it is enough to get me pretty high and I wanted to feel the Vicodin too. This was at around 10:20. I then took the 10mgs of Adderall and ground it up into powder in a cup using a skin makeup container. The top of the cap had lettering on it that stuck out and had a somewhat thin edge around the top of the cap both of these features made it easy to grind up the pill.
At around 10:25 I poured the orange powder from the cup onto a CD case, I then used a playing card to make it into two lines. I quickly snorted the two lines with a straw that was cut at the length of about a rolled up dollar bill, maybe shorter. I then began inhaling sharply in my right nostril to make sure that all of the Adderall was being absorbed. When I was done with that I swallowed a 5mg pill of Adderall. After this I pulled out my Vicodin pill broke it in half and swallowed both parts at the same time, while washing it down with several hearty swigs of water.
At this point I am already feeling the woozy, euphoric and speedy feelings of the Adderall and I am given an especially strong rush because I snorted it. Something like an hour later I begin to feel the full effects of the Vicodin although the effects were somewhat muffled by the Adderall, which is dominating the high at this point. As the Vicodin effected me I felt a soothing and euphoric tingly feeling throughout my body, as well as a narcotic effect that was mostly countered from the Adderall. Although the Adderall was dominating, I was feeling both highs at once. It felt fantastic, the combined high almost felt like an orgasm but, a little different.
 I then took a white Pseudoephedrine pill that is the same size as the Vicodin pill. I wiped the label off and made a groove in the middle of the pill so it would look like a Vicodin pill and since I know for a fact that my dad doesn’t take them anymore he will never know the difference. I then popped the Vicodin pill and waited for about 30 or 40 minutes for it to take effect. After I waited I snorted another 10mgs of Adderall. This time the Vicodin is dominating and the Tingly euphoria is much stronger then before. I am also feeling more sedated then before. This time I enjoyed the combined high more with the Vicodin dominating it, then I did before. These feelings end about 3 or 4 hours later and I am left with a weak Adderall high, in order to go to sleep that night I had to take sleeping pills.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


power-assert in browser
http://azu.github.io/power-assert-demo/
Editor
Editor - CodeMirror
- CodeMirror
- http://codemirror.net/
power-assert
power-assert transform
- espower-source
- https://github.com/twada/espower-source
- Code -> (Power-asserized) Code
Test Runner
Test in iframe
- iframe's
srcdoc
attribute- embed
<html>...<script>assert(true)</script>...</html>
- embed
- Mocha
- http://visionmedia.github.io/mocha/
ractive.js
ractive component
- Editor as Component
- Test Runner as Component
- Component <-> Component
ractive event
- Cool Observers
- http://docs.ractivejs.org/latest/observers


Ballet dancers are strong and flexible. The strength and flexibility comes from working on individual muscle groups and the repetitive motions will have an impact on increasing flexibility. I have grouped the resources so that depending on the time available you can choose to do any segment. Remember to exercise caution if you are ill or cold. Clear an area so that you do not hit something.


This is a deep water port located in the centre of the Anjouan's north west coast. It is the largest city on the island. (Photo courtesy of SV Totem - September 2015).
Anjouan is known for its cloves, the ylang-ylang flowers (the base for many perfumes) and vanilla.
A famous island nobody knows - BBC Travel article by circumnavigator Diane Selkirk.
Position 12° 10′S, 44° 24′E.
This is the main port of entry for Comoros. See Comoros Formalities for more details.
An agent called "Maketse" has been serving yachts since 1991 here. See Clearance Agents for details.
Last updated September 2015.
After clearance it is best to anchor off and to always have somebody on board. Maketse can provide a reliable guard. When going ashore, it is advisable to lock the boat and just leave food and water for the guard.
Even in calm weather, there is a slight swell in the anchorage here.
Last updated September 2015.


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- IClickable<X extends IClickable> - Interface in de.dosmike.sponge.megamenus.api.elements.concepts
-
Interface to be implemented by IElements that shall react to inventory clicks
- IElement - Interface in de.dosmike.sponge.megamenus.api.elements.concepts
-
Generic Interface shared by all elements placeable on a
IMenu
- IElementImpl - Class in de.dosmike.sponge.megamenus.impl.elements
-
- IElementImpl() - Constructor for class de.dosmike.sponge.megamenus.impl.elements.IElementImpl
-
- IIcon - Interface in de.dosmike.sponge.megamenus.api.elements
-
A collection of ItemStackSnapshots the can be rendered as static or animated icon
in GUI menus
- IIcon.Builder - Class in de.dosmike.sponge.megamenus.api.elements
-
A convenience builder for animated IIcons.
Specify the item snapshots and frequency and the rest should automatically be handled.
The animation will play at a constant rate.
- IInventory<X extends IInventory> - Interface in de.dosmike.sponge.megamenus.api.elements.concepts
-
Elements that represent a inventory of some kind an can have a slot change
- IMenu - Interface in de.dosmike.sponge.megamenus.api
-
The menu is a collection of
IElement
s that are bound to the menu and spread
across pages.
- importPlayerStateMap(Map<UUID, StateObject>) - Method in interface de.dosmike.sponge.megamenus.api.IMenu
-
Batch-replaces all given player state objects
- importPlayerStateMap(Map<UUID, StateObject>) - Method in class de.dosmike.sponge.megamenus.impl.BaseMenuImpl
-
- importPlayerStateMap(Map<UUID, StateObject>) - Method in class de.dosmike.sponge.megamenus.impl.BoundMenuImpl
-
- initial - Variable in class de.dosmike.sponge.megamenus.api.elements.MSlot.Builder
-
- inject - Static variable in class de.dosmike.sponge.megamenus.AntiGlitch
-
- invalidate() - Method in interface de.dosmike.sponge.megamenus.api.elements.concepts.IElement
-
Invalidates this elements Menu for all Renderer through the RenderManager.
- invalidate(Player) - Method in interface de.dosmike.sponge.megamenus.api.elements.concepts.IElement
-
Invalidates the Renderer matching this elements menu and viewed by the specified
player, resulting in an inventory update for that player in the near future
(usually next tick).
- invalidate() - Method in interface de.dosmike.sponge.megamenus.api.IMenu
-
Fetches all renderer for this menu from RenderManager and invalidates them.
- invalidate(Player) - Method in interface de.dosmike.sponge.megamenus.api.IMenu
-
Invalidates this menu for the specified player in the currently opened MenuRenderer
through the RenderManager.
- invalidate() - Method in interface de.dosmike.sponge.megamenus.api.MenuRenderer
-
will cause this menu to redraw in the near future
- invalidate() - Method in class de.dosmike.sponge.megamenus.impl.AbstractMenuRenderer
-
- IPressable<X extends IPressable> - Interface in de.dosmike.sponge.megamenus.api.elements.concepts
-
Interface to be implemented by IElements that shall react to keys being pressed.
- IPressable.Buttons - Enum in de.dosmike.sponge.megamenus.api.elements.concepts
-
- isClosedByAPI(Player) - Method in interface de.dosmike.sponge.megamenus.api.MenuRenderer
-
- isClosedByAPI(Player) - Method in class de.dosmike.sponge.megamenus.impl.AbstractMenuRenderer
-
- isGlitcher(Player) - Static method in class de.dosmike.sponge.megamenus.AntiGlitch
-
- ISizeable - Interface in de.dosmike.sponge.megamenus.api.elements.concepts
-
for Gui Elements that span more than 1 inventory slot.
- IValueChangeable<V,X extends IValueChangeable> - Interface in de.dosmike.sponge.megamenus.api.elements.concepts
-
Default interface to be implemented by elements that can have more
than once state, such as checkboxes, spinner, etc


LLVM: extract tool
NAME
extract
SYNOPSIS
extract [options] [filename]
DESCRIPTION
The extract command takes the name of a function and extracts it from
the specified LLVM bytecode file. It is primarily used as a debugging tool to
reduce test cases from larger programs that are triggering a bug.
In addition to extracting the bytecode of the specified function,
extract will also remove unreachable global variables, prototypes, and
unused types.
The extract command reads its input from standard input if filename is
omitted or if filename is -. The output is always written to standard output.
OPTIONS
- -func <function>
Extract the specified function from the LLVM bytecode.
- -help
Print a summary of command line options.
EXIT STATUS
If extract succeeds, it will exit with 0. Otherwise, if an error
occurs, it will exit with a non-zero value.
SEE ALSO
bugpoint
Maintained by the LLVM Team.


Want to see what your twitter timeline would've looked like 20 years ago today if you followed all the same people? https://jasonrclark.com/twitter
5/25/2018, 10:16:28 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Want to see what your twitter timeline would've looked like 20 years ago today if you followed all the same people? https://jasonrclark.com/twitter
5/25/2018, 10:16:28 AM
Favs: 0
Retweets: 0
linkh/t to @waxpancake and https://twitter.com/waxpancake/status/999699093277442048
5/25/2018, 10:16:29 AM
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Retweets: 0
link


Steve Caldwell
Co-Founder & CEO at StrapThought Leadership
Articles
- "Developing a Human-First Personalization Strategy" - iMediaConnection - 20 Oct 2015
- "How Apple Watch and Other Wearables are Transforming Marketing" - MarketingProfs - 4 May 2015
- "What We Didn't See From Wearables at CES" - TechCrunch - 23 Jan 2015
- "Think Bigger Skeptics: Wearable Tech Will Change the World" - Wired - 9 Jan 2015
Video
The Journey
| What | Where | When | Key Takeaways |
|---|---|---|---|
| Co-Founder & CEO | Strap | '14-Now | Building a world class product, vision, and team. |
| Founder & CEO | crosstek | '08-'14 | Apps for warzones & volcanoes. Successful exit. |
| Software Developer | DoD High Performance Computing | '11-'12 | Built OAuth web apps on DoD supercomputers. |
| Web Application Developer | US Army Corps of Engineers R&D | '09-'11 | Internal apps; increased org efficiency by 80%. |
| Helpdesk Analyst | US Army Corps of Engineers | '08-'09 | Hustled to a dev job in < 1 year. Always network. |
| IT Manager | Coldwell Banker | '04-'08 | I can fix anything that has a power button. |
Get In Touch
I'm open to speaking engagements, consulting opportunities, or pro-bono charity work.
If you're a startup founder, I would love to hear your story and share my experiences.
If you think I can be helpful, the best way to get in touch with me is by sending a note to<EMAIL_ADDRESS>If you're a startup founder, I would love to hear your story and share my experiences.
If you think I can be helpful, the best way to get in touch with me is by sending a note to<EMAIL_ADDRESS>I'm generally most helpful in the following areas:
- Software development strategy
- Building a product that will scale
- How to hire the right tech people
- Networking your way to success
- Startup/Fundraising general advice
- How to tell when it is time to move on


A paragraph
A paragraph with javascript content. More textjavascript content can appear here, too. This string is not escaped!


Palindromes
问题描述 :
A mirrored string is a string for which when each of the elements of the string is changed to its reverse (if it has a reverse) and the string is read backwards the result is the same as the original string. For example, the string “3AIAE” is a mirrored string because “A” and “I” are their own reverses, and “3″ and “E” are each others’ reverses.
A mirrored palindrome is a string that meets the criteria of a regular palindrome and the criteria of a mirrored string. The string “ATOYOTA” is a mirrored palindrome because if the string is read backwards, the string is the same as the original and because if each of the characters is replaced by its reverse and the result is read backwards, the result is the same as the original string. Of course, “A”, “T”, “O”, and “Y” are all their own reverses.
A list of all valid characters and their reverses is as follows.
Character Reverse Character Reverse Character Reverse
A A M M Y Y
B N Z 5
C O O 1 1
D P 2 S
E 3 Q 3 E
F R 4
G S 2 5 Z
H H T T 6
I I U U 7
J L V V 8 8
K W W 9
L J X X
Note that O (zero) and 0 (the letter) are considered the same character and therefore ONLY the letter “0″ is a valid character.
输入:
输出:
” — is not a palindrome.”
if the string is not a palindrome and is not a mirrored string
” — is a regular palindrome.”
if the string is a palindrome and is not a mirrored string
” — is a mirrored string.”
if the string is not a palindrome and is a mirrored string
” — is a mirrored palindrome.”
if the string is a palindrome and is a mirrored string
Note that the output line is to include the -’s and spacing exactly as shown in the table above and demonstrated in the Sample Output below.
In addition, after each output line, you must print an empty line.
样例输入:
NOTAPALINDROME ISAPALINILAPASI 2A3MEAS ATOYOTA
样例输出:
NOTAPALINDROME -- is not a palindrome. ISAPALINILAPASI -- is a regular palindrome. 2A3MEAS -- is a mirrored string. ATOYOTA -- is a mirrored palindrome.
解题代码:
//* @author: Yeming<EMAIL_ADDRESS>import java.util.Scanner; import java.util.Map; import java.util.HashMap; import java.io.BufferedInputStream; public class Main { public static void main(String[] args) { Scanner sc = new Scanner(new BufferedInputStream(System.in)); Mapmap = new HashMap (); map.put('A','A'); map.put('E','3'); map.put('H','H'); map.put('I','I'); map.put('J','L'); map.put('L','J'); map.put('M','M'); map.put('O','O'); map.put('S','2'); map.put('T','T'); map.put('U','U'); map.put('V','V'); map.put('W','W'); map.put('X','X'); map.put('Y','Y'); map.put('Z','5'); map.put('1','1'); map.put('2','S'); map.put('3','E'); map.put('5','Z'); map.put('8','8'); while(sc.hasNext()) { String original = sc.next(); boolean isPalindrome = true; boolean isMirrored = true; int len = original.length(); for(int i = 0; i < len/2; i++) { if(original.charAt(i) != original.charAt(len - i - 1)) { isPalindrome = false; break; } } for(int i = 0; i <= len/2; i++) { Character mirror = map.get(map.get(original.charAt(len - i -1))); if(mirror == null || original.charAt(i) != map.get(mirror).charValue()) { isMirrored =false; break; } } System.out.print(original + " -- is "); if(isPalindrome && isMirrored) { System.out.println("a mirrored palindrome."); }else if(isPalindrome) { System.out.println("a regular palindrome."); }else if(isMirrored) { System.out.println("a mirrored string."); }else { System.out.println("not a palindrome."); } System.out.println(); } } }
很好的思路，可以借鉴
分析的很详细！赞一个
站长好。我是一个准备创业的互联网小白,我们打算做一个有关国*际*游*学的平台。手上也有了一些境外资源。现阶段的团队现在没有cto.原意出让一些管理股寻找一个靠谱的技术专家做合伙人, 不知道是不是能得到您的帮助。发个帖子或者其他方式。期待您的回应。可以加我微信tianxielemon聊聊。
多谢支持！
第二个程序编译都通不过， int L[m+1][n+1];这样定义出错，应该换成具体的数字ac
Java真是解决大数的利器
顶一个 赞一个
很好的思路，可以借鉴
值得分享！
18题的C也是错误的
妈呀！这个Dijkstra模板好长OwQ！
很好，找的就是这一题
int half(int *array,int len,int key)
{
int l=0,r=len;
while(l<r)
{
int m=(l+r)>>1;
if(key>array )l=m+1;
else if(key<array )r=m;
else return m;
}
return -1;
}
这种就能避免一些Bug
l,m,r
左边是l,m;右边就是m+1,r;
这个应该是比较简单的解法了，如果有更好的办法可以告诉我


7.5. Analytic Commands¶
These commands are used to analyze data sets. Required parameters are indicated with a *
.
See Configuring Cached Statistics for details on cached statistics.
7.5.1. stats-bounds
¶
Display or calculate the bounds for the attributes of a schema.
| Argument | Description |
|---|---|
-c, --catalog * |
The catalog table containing schema metadata |
-f, --feature-name * |
The name of the schema |
-q, --cql |
CQL to filter the features to consider |
-a, --attributes |
Specific attributes to calculate bounds for |
--no-cache |
Don’t use cached statistics |
By default, pre-computed (cached) bounds will be displayed. The cached bounds may not be
completely precise, but they are available instantly. If the --no-cache
argument is used,
the bounds will be calculated by running a query against the data. This will give a precise
result, but take longer.
7.5.2. stats-count
¶
Count features that match a predicate.
| Argument | Description |
|---|---|
-c, --catalog * |
The catalog table containing schema metadata |
-f, --feature-name * |
The name of the schema |
-q, --cql |
CQL filter to select features to export |
--no-cache |
Don’t use cached statistics |
By default, pre-computed (cached) stats will be used to estimate the count. The cached stats may
not be completely precise, but they are available instantly. If the --no-cache
argument is used,
the count will be calculated by running a query against the data. This will give a precise result,
but take longer.
7.5.3. stats-histogram
¶
Displays a histogram of the values of the given attributes.
| Argument | Description |
|---|---|
-c, --catalog * |
The catalog table containing schema metadata |
-f, --feature-name * |
The name of the schema |
-q, --cql |
CQL filter to select features to export |
-a, --attributes |
Specific attributes to calculate values for |
--bins |
Number of bins used to divide the histogram values |
--no-cache |
Don’t use cached statistics |
The --bins
argument will determine how the histogram is divided up. For example, when
examining a week of time data, using 7 bins would group values by day.
By default, pre-computed (cached) stats will be used to estimate histograms. The cached stats may
not be completely precise, but they are available instantly. If the --no-cache
argument is used,
the histogram will be calculated by running a query against the data. This will give a precise result,
but take longer. Note that even with --no-cache
, summary statistical models are used to determine
histograms, and they may not be completely accurate.
Histograms on geometry-type attributes will displayed as rough heat maps.
7.5.4. stats-top-k
¶
Displays the most common values for the given attributes.
| Argument | Description |
|---|---|
-c, --catalog * |
The catalog table containing schema metadata |
-f, --feature-name * |
The name of the schema |
-q, --cql |
CQL filter to select features to export |
-a, --attributes |
Specific attributes to calculate values for |
-k |
Number of top values to show |
--no-cache |
Don’t use cached statistics |
By default, pre-computed (cached) stats will be used to estimate the top values. The cached stats may
not be completely precise, but they are available instantly. If the --no-cache
argument is used,
the top values will be calculated by running a query against the data. This will give a precise result,
but take longer. Note that even with --no-cache
, summary statistical models are used to determine
top values, and they may not be completely accurate.


adevs-x.y.z +->docs +->examples +->include +->src +->test +->utilThe Adevs simulation engine is comprised almost entirely of template classes, and these are implemented in the header files located in the include directory. The exceptions are the random number generators, the Java language bindings, the OpenModelica support, and some aspects of the parallel simulation engine. If you do not want to use these features then its sufficient for your program to include adevs.h and to be sure your compiler can find the include directory that adevs.h is in.
If you want to use the random number generators and parallel simulation engine, then you must build the adevs static library. To do this, enter the src directory and execute the command 'make' if you are using a Linux system or 'build' if you are using Windows. On Windows, the batch file creates a static library called adevs.lib. For Linux systems, the makefile creates a static library called libadevs.a.
If you are using a Windows system, the batch file must be executed from the Visual C++ command prompt. This will ensure the batch file can find the compiler, linker, and necessary system header files. For Linux systems, make sure you have a recent version of the GNU C++ compiler and GNU make. You may need to edit the makefile (i.e., the file Makefile) to set compiler flags, etc. but the defaults should work in most cases.
To build the Java language bindings, you need to have the Sun (now Oracle) JDK or something that is compatible with it (such as the OpenJDK). On a Windows system, from the src directory enter the adevs_jni directory and then execute the command 'build'. This creates three files: adevs.jar, java_adevs.dll, and java_adevs.lib. To build and run your Java programs, you will need to put adevs.jar into your classpath and java_adevs.dll into your java.library.path (or make sure it is in your regular PATH for finding executables and dynamic link libraries).
On a Linux system, stay in the src directory and execute the command 'make java_adevs'. This creates two files: adevs.jar and libjava_adevs.so. As before, you need to put adevs.jar into your classpath and libjava_adevs.so into your java.library.path or make sure it is in your LD_LIBRARY_PATH for locating dynamic link libraries.
Adevs includes some support for simulating Modelica models that are compiled with the OpenModelica compiler. If you want to enable this support, you must get and build the OpenModelica compiler. For this purpose, the shell script build-omc.sh is provided in the util directory. This shell script does the following: 1) creates the directory openmodelica at the location where the script is run, 2) fetches the minimal set of packages that are needed to compile the OpenModelica compiler, and 3) fetches and builds a bare-bones OpenModelica compiler. The compiler is called omc and it is located in the directory openmodelica/trunk/build/bin.
After running the build-omc script, go to the Adevs src directory. Edit the makefile so that MODELICA_HOME points to the openmodelica/trunk directory that was created by the build-omc script. Now run 'make adevs_with_modelica'. This creates the static library libadevs.a with the Adevs random number generators, parallel simulator, and all parts of the OpenModelica runtime system that are needed to simulate Modelica models.
To run the test suite (which is not required to use the software), you must build the static library file and install Tcl (the test scripts need Tcl to run; if you can run `tclsh' then you already have a working copy of Tcl). If you want to test the Java bindings or OpenModelica support then you will need to build those too. There are four sets of tests that can be executed: one for the serial simulation engine, one for the parallel simulation engine, one for the Java language bindings, and one for the OpenModelica support.
To run the tests for the serial simulation engine, use 'make check_cpp'. To run the tests for the parallel simulation engines use 'make check_par' (note: the environment variable OMP_NUM_THREADS must be set to at least four). To run the Java test cases, use 'make java_test'. To run the OpenModelica test cases, put the omc compiler into your PATH and run 'make check_modelica'. To run all of the test cases, use 'make'. The test script will abort when any test fails. If the test script run to completion, then all of the tests passed.
The test cases can be a bit of a bear to run on a Windows computer. If you need to edit compiler settings, executable directives, etc. to make it work, then modify the file make.common. For Linux systems using the GNU tools the test cases should work out of the box. Otherwise, edit make.common to fix things to fit your development environment.


Visual History
Joel Gustafson and Kenny Friedman
Modern browsers lose rich information when they compress browsing history into a linear stack, which makes backtracking from a forest of links surprisingly difficult. We can do better.
This solves an ancient problem with Wikipedia.
Visual History is a Chrome extension in collaboration with Kenny Friedman that delinearizes your browsing history with a richer alternative to the Back and Forward buttons.
Instead of a stack of previously visited destinations, Visual History maintains the forest of trees that represent each tab’s path around the internet, and lets you easily backtrack to any site you’ve recently visited.
Motivation
Back and Forward buttons are simple and convenient, but the underlying history stack is a terrible model for navigation. Websites aren’t stops on a subway line; they’re nodes in a connected graph. Even within this graph, we rarely just wander down one winding path: we backtrack from articles to homepages, from links to search results, and from threads to forums. The internet is a graph, and we tend to browse hierarchically.
But browsers make hierarchical navigation very difficult. Going back to a page of search results and down to a sibling link “destroys” the original link in the back/forward stack. This is bad for a couple reasons.
First, since we can “lose” a link if we’re not careful, we assume the mental load of tracking our history ourselves, so that we know when it’s “safe” to go down a new branch, or when we might want to save our “place” for later. Design should minimize mental load, not add state to the userspace.
But even worse, when it’s not safe to go down a new branch, and faced with the threat of losing a page to which we may want to return, we usually resort to ridiculous hacks like opening links in new tabs. This is subtle. “Tabs” organize content categorically. That is the tab metaphor. Opera had tab groups and Safari has a grid tab view, but neither Chrome nor Firefox have any concept of an "overview" layout or tab hierarchy. But more often than not, browsers reduce tabs to a scattered breadcrumb trail of abandoned siblings - links that we popped open because it was inconvenient (or dangerous) to navigate to them directly. These new tabs don’t have any idea where they are in the internet - we can’t go back from them, and we sometimes forget how we got there in the first place - but dammit, at least we can Ctrl-Tab between them quickly! Not only is this both computationally and spatially wasteful, it’s also confusing and antipattern. It’s just bad design.
Usage
Navigate around the graph by clicking the graph icon in the toolbar, or by using Ctrl + arrow key (or Cmd + arrow key for Mac) shortcuts. When Ctrl (or Cmd) is released, Chrome will navigate to whichever node is currently selected.


This type of packaging can last for decades.
Approximately 500 rounds per can depending on factory packaging.
A new 50 cal. Size steel ammo can
Labeling on top of can includes. Round count, Date packed, Type of ammo in that can.
Vacuumed sealed boxes of ammo. Ammo is to be purchased by you. The amount in each can is TBD by me for maximum space, as well as a silica pack in each package.
Price per can, if customer provides can.
Price per can, all materials included.
Pickup or delivery in Kerrville (each way).
*Pricing does NOT include ammo; Payment due at time of delivery.


In this challenge, you will create the UI for the 2048 game, as it exists here, using React.
Start here.
Copy the files onto your local machine.
The index.html file includes everything you need to write JSX inside of the file. It loads React and Babel from a CDN.
Start by creating components for the Cell and Row, and then put them all together to display the complete game.
This is the same as Friday in the React without React exercise, but now with React.
The functions you need to use from the provided JavaScript library, and the CSS that's available, the same as in the React without React exercise.


EU hopes US will rethink choice to pull out of climate pact
BRUSSELS (AP) - The European Union has voiced regret at the U.S. government’s decision to pull out of the Paris climate agreement and expressed hopes that one of the world’s biggest CO2 emitters will backpedal on its decision and rejoin.
European Commission spokeswoman Mina Andreeva said Tuesday that the global deal signed in 2015 remains “the most important international agreement on climate change” and insisted that the EU will continue to “fight global climate change under this legal framework.”
Despite the U.S. departure, Andreeva added that the 28-member bloc will continue working with various U.S.-based entities and stakeholders who remain committed to the deal.
“The Paris agreement has strong foundations and is here to stay. Its doors remain open and we hope that the U.S. will decide to pass (them) again one day,” Andreeva said.
Germany said the U.S. government’s decision is “regrettable” but no surprise.
Environment Minister Svenja Schulze said the U.S. had announced its plan to withdraw from the pact two years ago and “luckily it has remained alone in doing so.”
Nearly 200 nations signed the landmark 2015 climate deal to keep global warming below 2 degrees Celsius (3.6 Fahrenheit) by the end of the century, with each country providing its own goals for reducing emissions of greenhouse gases.
Schulze said the “domino effect” some had feared after U.S. President Donald Trump’s announcement didn’t occur.
“The rest of the world stands together on climate protection,” she said in a statement, noting that even Russia, a fossil fuel exporter, recently joined the pact.
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grammar::fa::op - Operations on finite automatons
This package provides a number of complex operations on finite automatons (Short: FA), as provided by the package grammar::fa. The package does not provide the ability to create and/or manipulate such FAs, nor the ability to execute a FA for a stream of symbols. Use the packages grammar::fa and grammar::fa::interpreter for that. Another package related to this is grammar::fa::compiler which turns a FA into an executor class which has the definition of the FA hardwired into it.
For more information about what a finite automaton is see section FINITE AUTOMATONS in package grammar::fa.
The package exports the API described here. All commands modify their first argument. I.e. whatever FA they compute is stored back into it. Some of the operations will construct an automaton whose states are all new, but related to the states in the source automaton(s). These operations take variable names as optional arguments where they will store mappings which describe the relationship(s). The operations can be loosely partitioned into structural and language operations. The latter are defined in terms of the language the automaton(s) accept, whereas the former are defined in terms of the structural properties of the involved automaton(s). Some operations are both. Structure operations
This command has to be called by the user of the package before any other operations is performed, to establish a command which can be used to construct a FA container object. If this is not done several operations will fail as they are unable to construct internal and transient containers to hold state and/or partial results.
Any container class using this package for complex operations should set its own class command as the constructor. See package grammar::fa for an example.
Reverses the fa. This is done by reversing the direction of all transitions and swapping the sets of start and final states. The language of fa changes unpredictably.
Completes the fa complete, but nothing is done if the fa is already complete. This implies that only the first in a series of multiple consecutive complete operations on fa will perform anything. The remainder will be null operations.
The language of fa is unchanged by this operation.
This is done by adding a single new state, the sink, and transitions from all other states to that sink for all symbols they have no transitions for. The sink itself is made complete by adding loop transitions for all symbols.
Note: When a FA has epsilon-transitions transitions over a symbol for a state S can be indirect, i.e. not attached directly to S, but to a state in the epsilon-closure of S. The symbols for such indirect transitions count when computing completeness of a state. In other words, these indirectly reached symbols are not missing.
The argument sink provides the name for the new state and most not be present in the fa if specified. If the name is not specified the command will name the state "sinkn", where n is set so that there are no collisions with existing states.
Note that the sink state is not useful by definition. In other words, while the FA becomes complete, it is also not useful in the strict sense as it has a state from which no final state can be reached.
Removes all epsilon-transitions from the fa in such a manner the the language of fa is unchanged. However nothing is done if the fa is already epsilon-free. This implies that only the first in a series of multiple consecutive complete operations on fa will perform anything. The remainder will be null operations.
Note: This operation may cause states to become unreachable or not useful. These states are not removed by this operation. Use ::grammar::fa::op::trim for that instead.
Removes unwanted baggage from fa. The legal values for what are listed below. The command defaults to !reachable|!useful if no specific argument was given.
Removes all states which are not reachable from a start state.
Removes all states which are unable to reach a final state.
Removes all states which are not reachable from a start state and are unable to reach a final state.
Removes all states which are not reachable from a start state or are unable to reach a final state.
Makes the fa deterministic without changing the language accepted by the fa. However nothing is done if the fa is already deterministic. This implies that only the first in a series of multiple consecutive complete operations on fa will perform anything. The remainder will be null operations.
The command will store a dictionary describing the relationship between the new states of the resulting dfa and the states of the input nfa in mapvar, if it has been specified. Keys of the dictionary are the handles for the states of the resulting dfa, values are sets of states from the input nfa.
Note: An empty dictionary signals that the command was able to make the fa deterministic without performing a full subset construction, just by removing states and shuffling transitions around (As part of making the FA epsilon-free).
Note: The algorithm fails to make the FA deterministic in the technical sense if the FA has no start state(s), because determinism requires the FA to have exactly one start states. In that situation we make a best effort; and the missing start state will be the only condition preventing the generated result from being deterministic. It should also be noted that in this case the possibilities for trimming states from the FA are also severely reduced as we cannot declare states unreachable.
Creates a FA which accepts the same language as fa, but has a minimal number of states. Uses Brzozowski's method to accomplish this.
The command will store a dictionary describing the relationship between the new states of the resulting minimal fa and the states of the input fa in mapvar, if it has been specified. Keys of the dictionary are the handles for the states of the resulting minimal fa, values are sets of states from the input fa.
Note: An empty dictionary signals that the command was able to minimize the fa without having to compute new states. This should happen if and only if the input FA was already minimal.
Note: If the algorithm has no start or final states to work with then the result might be technically minimal, but have a very unexpected structure. It should also be noted that in this case the possibilities for trimming states from the FA are also severely reduced as we cannot declare states unreachable.
Language operations All operations in this section require that all input FAs have at least one start and at least one final state. Otherwise the language of the FAs will not be defined, making the operation senseless (as it operates on the languages of the FAs in a defined manner).
Complements fa. This is possible if and only if fa is complete and deterministic. The resulting FA accepts the complementary language of fa. In other words, all inputs not accepted by the input are accepted by the result, and vice versa.
The result will have all states and transitions of the input, and different final states.
Applies Kleene's closure to fa. The resulting FA accepts all strings S for which we can find a natural number n (0 inclusive) and strings A1 ... An in the language of fa such that S is the concatenation of A1 ... An. In other words, the language of the result is the infinite union over finite length concatenations over the language of fa.
The result will have all states and transitions of the input, and new start and final states.
Makes the fa optional. In other words it computes the FA which accepts the language of fa and the empty the word (epsilon) as well.
The result will have all states and transitions of the input, and new start and final states.
Combines the FAs fa and fb such that the resulting FA accepts the union of the languages of the two FAs.
The result will have all states and transitions of the two input FAs, and new start and final states. All states of fb which exist in fa as well will be renamed, and the mapvar will contain a mapping from the old states of fb to the new ones, if present.
It should be noted that the result will be non-deterministic, even if the inputs are deterministic.
Combines the FAs fa and fb such that the resulting FA accepts the intersection of the languages of the two FAs. In other words, the result will accept a word if and only if the word is accepted by both fa and fb. The result will be useful, but not necessarily deterministic or minimal.
The command will store a dictionary describing the relationship between the new states of the resulting fa and the pairs of states of the input FAs in mapvar, if it has been specified. Keys of the dictionary are the handles for the states of the resulting fa, values are pairs of states from the input FAs. Pairs are represented by lists. The first element in each pair will be a state in fa, the second element will be drawn from fb.
Combines the FAs fa and fb such that the resulting FA accepts the difference of the languages of the two FAs. In other words, the result will accept a word if and only if the word is accepted by fa, but not by fb. This can also be expressed as the intersection of fa with the complement of fb. The result will be useful, but not necessarily deterministic or minimal.
The command will store a dictionary describing the relationship between the new states of the resulting fa and the pairs of states of the input FAs in mapvar, if it has been specified. Keys of the dictionary are the handles for the states of the resulting fa, values are pairs of states from the input FAs. Pairs are represented by lists. The first element in each pair will be a state in fa, the second element will be drawn from fb.
Combines the FAs fa and fb such that the resulting FA accepts the cross-product of the languages of the two FAs. I.e. a word W will be accepted by the result if there are two words A and B accepted by fa, and fb resp. and W is the concatenation of A and B.
The result FA will be non-deterministic.
Generates a non-deterministic FA which accepts the same language as the regular expression regex. If the over is specified it is treated as the set of symbols the regular expression and the automaton are defined over. The command will compute the set from the "S" constructors in regex when over was not specified. This set is important if and only if the complement operator "!" is used in regex as the complementary language of an FA is quite different for different sets of symbols.
The regular expression is represented by a nested list, which forms a syntax tree. The following structures are legal:
Atomic regular expression. Everything else is constructed from these. Accepts the Symbol "x".
Concatenation operator. Accepts the concatenation of the regular expressions A1, A2, etc.
Note that this operator accepts zero or more arguments. With zero arguments the represented language is epsilon, the empty word.
Choice operator, also called "Alternative". Accepts all input accepted by at least one of the regular expressions A1, A2, etc. In other words, the union of A1, A2.
Note that this operator accepts zero or more arguments. With zero arguments the represented language is the empty language, the language without words.
Intersection operator, logical and. Accepts all input accepted which is accepted by all of the regular expressions A1, A2, etc. In other words, the intersection of A1, A2.
Optionality operator. Accepts the empty word and anything from the regular expression A.
Kleene closure. Accepts the empty word and any finite concatenation of words accepted by the regular expression A.
Positive Kleene closure. Accepts any finite concatenation of words accepted by the regular expression A, but not the empty word.
Complement operator. Accepts any word not accepted by the regular expression A. Note that the complement depends on the set of symbol the result should run over. See the discussion of the argument over before.
This command generates and returns a regular expression which accepts the same language as the finite automaton fa. The regular expression is in the format as described above, for ::grammar::fa::op::fromRegex.
This command has the same functionality as ::grammar::fa::op::toRegexp, but uses a different algorithm to simplify the generated regular expressions.
This command generates and returns a regular expression in Tcl syntax for the regular expression regexp, if that is possible. regexp is in the same format as expected by ::grammar::fa::op::fromRegex.
The command will fail and throw an error if regexp contains complementation and intersection operations.
The argument symdict is a dictionary mapping symbol names to pairs of syntactic type and Tcl-regexp. If a symbol occurring in the regexp is not listed in this dictionary then single-character symbols are considered to designate themselves whereas multiple-character symbols are considered to be a character class name.
This command simplifies a regular expression by applying the following algorithm first to the main expression and then recursively to all sub-expressions:
Convert the expression into a finite automaton.
Minimize the automaton.
Convert the automaton back to a regular expression.
Choose the shorter of original expression and expression from the previous step.
This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category grammar_fa of the Tcllib Trackers. Please also report any ideas for enhancements you may have for either package and/or documentation.
When proposing code changes, please provide unified diffs, i.e the output of diff -u.
Note further that attachments are strongly preferred over inlined patches. Attachments can be made by going to the Edit form of the ticket immediately after its creation, and then using the left-most button in the secondary navigation bar.
automaton, finite automaton, grammar, parsing, regular expression, regular grammar, regular languages, state, transducer
Grammars and finite automata
Copyright © 2004-2008 Andreas Kupries <andreas_kupries@users.sourceforge.net>


JPA implementation of MetadataManagement
The package contains the reference implementations of the KIT Data Manager MetaDataManagement.
This implementation wraps the Java Persistence API (JPA) and allows to access relational databases of various types.
However, there are some limitations compared to using JPA directly:
- No Caching - Caches are actively empties whereever possible. Caching should also be disabled in the persistence.xml.
This decision was mainly made due to problems with caching and committing entities between multiple instances of the MetaDataManagement.
- No Thread-Safety (similar to JPA) - The implementation class MetaDataManagerJpa is not thread-safe (comparable to EntityManager in JPA).
An instance should not be used by multiple threads. Please call MetaDataManagement.getMetaDataManagement().getMetaDataManager()
each time you want to access the database and close the returned IMetaDataManager using close() if not longer needed to free resources.
- No control over transactions - Transactions are handled in the recommended way automatically in the background. However, due to the missing caching features
for each modify operation a transaction is used and there is no way perform multiple operations within one transaction.
- Decreased Performance - Mainly due to the missing support for caching the performance might be lower compared to using JPA directly.
By default the EclipseLink JPA implementation is used and was tested. Other JPA implementation may also work out of the box but are not supported directly.


The prize is sponsored by Swan Warriors TTC |
|
Champion: Lang Yan |
|
|
Runner up: u see u love |
|
|
Semi-finalists |
Hao Tian
Yutian Liu & Hao Li CJ Jin Zhang & Xiaoyu Cai |
|
Final Round Part 1 Video |
|
|
Final Group Part 2 |


{{ define "main" }}
{{ partial "mainmenu.html" . }}
It appears that you have stumbled upon a page on the Julia website that does not exist. You may find it useful to start at http://www.julialang.org, or navigate the Julia website using the links above. For improvements to this website, please file issues or submit pull requests.


Jai Hyun Park - No Javascript
Your browser does NOT support Javascript!
You need javascript to see my resume page.


For more than 30 years, as RestoMenu; we design, print, distribute restaurant & cafe menus, help our customers while growing their businesses.


Famous baked goods - SF X CA.
September 2017 catalog.
New product line 2017.
Mens clothing boutique.
Nationally known family farms.
High end gastro pub - Portland. OR.
Modern design + home goods.


{% extends 'base.html' %} {% load crispy_forms_tags %} {% load i18n %} {% load socialaccount %} {% block title %}{% trans "Sign in" %}{% endblock %} {% block content %}
If you have signed in with one of these third party accounts before please use the same account, or an account which you have connected to your Stencila user account.


Casual street photos or acting portfolio? I've got you covered. Drop me an email or a DM, describe what you'd like to see and we'll create something special.
Hosting an industry-breaking conference? Or a networking brunch? Or maybe you need new photos for your coffee shop? Send me an enquiry! I will make sure to produce visual content that will make even the pickiest marketing department happy.
Currently I am available on weekends, or Mon-Fri after 6PM.
The current situation is disruptive and constantly evolving. I will be following the latest government advice, as well as all the rules and precautions recommended by doctors. I will also communicate to you the conditions of the shoot ahead of the time, so that you can prepare.


{% extends "main.html" %} {% block section_title %} About Stallion version {{ version }} {% endblock %} {% block content %}
Stallion was created by {{ author }} to provide an "easy-to-use" visual interface for Python newcomers. Today we have many nice distribution utilities like pip, distribute, etc, but we don't have a nice visual approach with these same goals.
Contributors in order of appearance:
If you want to contribute (even with documentation), please fork me at Github, open issues, make suggestions.


To demonstrate model tuning, we’ll use the Ionosphere data in the mlbench
package:
There are 43 predictors and a factor outcome. Two of the predictors are factors (V1
and V2
) and the rest are numerics that have been scaled to a range of -1 to 1. Note that the two factor predictors have sparse distributions:
table(Ionosphere$V1)
##
## 0 1
## 38 313
table(Ionosphere$V2)
##
## 0
## 351
There’s no point of putting V2
into any model since is is a zero-variance predictor. V1
is not but it could be if the resampling process ends up sampling all of the same value. Is this an issue? It might be since the standard R formula infrastructure fails when there is only a single observed value:
glm(Class ~ ., data = Ionosphere, family = binomial)
## Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]): contrasts can be applied only to factors with 2 or more levels
# Surprisingly, this doesn't help:
glm(Class ~ . - V2, data = Ionosphere, family = binomial)
## Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]): contrasts can be applied only to factors with 2 or more levels
At a minimum, let’s get rid of the most problematic variable:
To demonstrate, we’ll fit a radial basis function support vector machine to these data and tune the SVM cost parameter and the \(\sigma\) parameter in the kernel function:
svm_mod <-
svm_rbf(cost = tune(), rbf_sigma = tune()) %>%
set_mode("classification") %>%
set_engine("kernlab")
In the code below, tuning will be demonstrated using a standard R formula as well as this recipe:
iono_rec <-
recipe(Class ~ ., data = Ionosphere) %>%
# In case V1 is has a single value sampled
step_zv(all_predictors()) %>%
# convert it to a dummy variable
step_dummy(V1) %>%
# Scale it the same as the others
step_range(matches("V1_"))
The only other required item for tuning is a resampling strategy as defined by an rsample
object. Let’s demonstrate using basic bootstrapping:
set.seed(4943)
iono_rs <- bootstraps(Ionosphere, times = 30)
An optional step for model tuning is to specify which metrics should be computed using the out-of-sample predictions. For classification, the default is to calculate the log-likelihood statistic and overall accuracy. Instead of the defaults, the area under the ROC curve will be used. To do this, a yardstick
function can be used to create a metric set:
If no grid or parameters are provided, a set of 10 are created using a space-filling design (via a Latin hypercube). A grid can be given in a data frame where the parameters are in columns and parameter combinations are in rows. Here, the default will be used.
Also, a control object can be passed that specifies different aspects of the search. Here, the verbose option is turned off.
ctrl <- control_grid(verbose = FALSE)
First, the formula interface will be used:
set.seed(35)
grid_form <-
tune_grid(
Class ~ .,
model = svm_mod,
resamples = iono_rs,
metrics = roc_vals,
control = ctrl
)
grid_form
## # Bootstrap sampling
## # A tibble: 30 x 4
## splits id .metrics .notes
## * <list> <chr> <list> <list>
## 1 <split [351/120]> Bootstrap01 <tibble [10 × 5]> <tibble [0 × 1]>
## 2 <split [351/130]> Bootstrap02 <tibble [10 × 5]> <tibble [0 × 1]>
## 3 <split [351/137]> Bootstrap03 <tibble [10 × 5]> <tibble [0 × 1]>
## 4 <split [351/141]> Bootstrap04 <tibble [10 × 5]> <tibble [0 × 1]>
## 5 <split [351/131]> Bootstrap05 <tibble [10 × 5]> <tibble [0 × 1]>
## 6 <split [351/131]> Bootstrap06 <tibble [10 × 5]> <tibble [0 × 1]>
## 7 <split [351/127]> Bootstrap07 <tibble [10 × 5]> <tibble [0 × 1]>
## 8 <split [351/123]> Bootstrap08 <tibble [10 × 5]> <tibble [0 × 1]>
## 9 <split [351/131]> Bootstrap09 <tibble [10 × 5]> <tibble [0 × 1]>
## 10 <split [351/117]> Bootstrap10 <tibble [10 × 5]> <tibble [0 × 1]>
## # … with 20 more rows
The .metrics
column contains tibbles of the performance metrics for each tuning parameter combination:
## [[1]]
## # A tibble: 10 x 5
## cost rbf_sigma .metric .estimator .estimate
## <dbl> <dbl> <chr> <chr> <dbl>
## 1 0.00849 1.11e-10 roc_auc binary 0.890
## 2 0.176 7.28e- 8 roc_auc binary 0.903
## 3 14.9 3.93e- 4 roc_auc binary 0.913
## 4 5.51 2.10e- 3 roc_auc binary 0.937
## 5 1.87 3.53e- 7 roc_auc binary 0.909
## 6 0.00719 1.45e- 5 roc_auc binary 0.905
## 7 0.00114 8.41e- 2 roc_auc binary 0.968
## 8 0.950 1.74e- 1 roc_auc binary 0.984
## 9 0.189 3.13e- 6 roc_auc binary 0.905
## 10 0.0364 4.96e- 9 roc_auc binary 0.908
To get the final resampling estimates, the collect_metrics()
function can be used on the grid object:
estimates <- collect_metrics(grid_form)
estimates
## # A tibble: 10 x 7
## cost rbf_sigma .metric .estimator mean n std_err
## <dbl> <dbl> <chr> <chr> <dbl> <int> <dbl>
## 1 0.00114 8.41e- 2 roc_auc binary 0.969 30 0.00278
## 2 0.00719 1.45e- 5 roc_auc binary 0.917 30 0.00387
## 3 0.00849 1.11e-10 roc_auc binary 0.862 30 0.00644
## 4 0.0364 4.96e- 9 roc_auc binary 0.916 30 0.00374
## 5 0.176 7.28e- 8 roc_auc binary 0.916 30 0.00381
## 6 0.189 3.13e- 6 roc_auc binary 0.917 30 0.00389
## 7 0.950 1.74e- 1 roc_auc binary 0.979 30 0.00195
## 8 1.87 3.53e- 7 roc_auc binary 0.917 30 0.00387
## 9 5.51 2.10e- 3 roc_auc binary 0.962 30 0.00316
## 10 14.9 3.93e- 4 roc_auc binary 0.936 30 0.00391
The best combination was:
show_best(grid_form)
## # A tibble: 5 x 7
## cost rbf_sigma .metric .estimator mean n std_err
## <dbl> <dbl> <chr> <chr> <dbl> <int> <dbl>
## 1 0.950 0.174 roc_auc binary 0.979 30 0.00195
## 2 0.00114 0.0841 roc_auc binary 0.969 30 0.00278
## 3 5.51 0.00210 roc_auc binary 0.962 30 0.00316
## 4 14.9 0.000393 roc_auc binary 0.936 30 0.00391
## 5 0.00719 0.0000145 roc_auc binary 0.917 30 0.00387
The same syntax is used but a recipe is passed in the first argument:
set.seed(325)
rec_form <-
tune_grid(
iono_rec,
model = svm_mod,
resamples = iono_rs,
metrics = roc_vals,
control = ctrl
)
rec_form
## # Bootstrap sampling
## # A tibble: 30 x 4
## splits id .metrics .notes
## * <list> <chr> <list> <list>
## 1 <split [351/120]> Bootstrap01 <tibble [10 × 5]> <tibble [0 × 1]>
## 2 <split [351/130]> Bootstrap02 <tibble [10 × 5]> <tibble [0 × 1]>
## 3 <split [351/137]> Bootstrap03 <tibble [10 × 5]> <tibble [0 × 1]>
## 4 <split [351/141]> Bootstrap04 <tibble [10 × 5]> <tibble [0 × 1]>
## 5 <split [351/131]> Bootstrap05 <tibble [10 × 5]> <tibble [0 × 1]>
## 6 <split [351/131]> Bootstrap06 <tibble [10 × 5]> <tibble [0 × 1]>
## 7 <split [351/127]> Bootstrap07 <tibble [10 × 5]> <tibble [0 × 1]>
## 8 <split [351/123]> Bootstrap08 <tibble [10 × 5]> <tibble [0 × 1]>
## 9 <split [351/131]> Bootstrap09 <tibble [10 × 5]> <tibble [0 × 1]>
## 10 <split [351/117]> Bootstrap10 <tibble [10 × 5]> <tibble [0 × 1]>
## # … with 20 more rows
The best setting here was:
show_best(rec_form)
## # A tibble: 5 x 7
## cost rbf_sigma .metric .estimator mean n std_err
## <dbl> <dbl> <chr> <chr> <dbl> <int> <dbl>
## 1 15.6 0.182 roc_auc binary 0.981 30 0.00215
## 2 0.385 0.0276 roc_auc binary 0.978 30 0.00220
## 3 0.143 0.00243 roc_auc binary 0.948 30 0.00349
## 4 0.841 0.000691 roc_auc binary 0.921 30 0.00421
## 5 0.0499 0.0000335 roc_auc binary 0.903 30 0.00463


Nexbit is a decentralized blockchain project built on Bitcoin's UTXO model, with support for EVM & EVM based smart contracts. Secured by a proof of stake advanced consensus model.
We using powerful own nexbit blockchain.
Contribute to the infrastructure of Nexbit
C, C++, Python, Java, JS/TS
Protocol, Dev tools
Strong developer community
Windows binaries for nexbit-core v<IP_ADDRESS>
Support for Android, Windows, iOS, Mac, Linux, Hardware Wallet, Web and Other Clients.


I intend to explain the usage of the capture (&) command in elixir for newbies like myself, base on my understanding at this point :). It is barely 2 weeks since I started writing elixir as at the writing of this post, coming from node.js.
The first time I came across the syntax below, I wondered what the f**k is happening here, but I after a while I grab it, thanks to google. :)
iex(1)> {:ok, %{name: "bla bla"}} |> (& {:ok, %{}} = &1).()
{:ok, %{name: "bla bla"}}
Explanation
In the code above the right side is being pattern matched to the left side.
The left side {:ok, %{name: "bla bla"}}
is piped (|>
) to the match using the capture symbol &
and the output is giving to
right side of my match = &1
.
The trick here is that the capture symbol &
writes (fn(x) -> x)
under the hood and later the entire lambda function is
executed .()
.


Options only applicable when using REST transport (2.9.0)
Options only applicable when using REST transport
These Options are used with libraries that either only support REST transport, or with libraries where the user has elected to enable gRPC to HTTP transcoding.


Humanitarian Aid Index
An integrating tool for social, economic and health indicators. Directing humanitarian aid actions to the most affected countries by the Covid-19 pandemic through data.
An integrating tool for social, economic and health indicators. Directing humanitarian aid actions to the most affected countries by the Covid-19 pandemic through data.


--- layout: post title: "My Week in Review" date: 2019-12-29 23:50:00 +0000 image: https://s3.amazonaws.com/audreywatters/2017-12-31-nye.jpg imagecredits: https://www.flickr.com/photos/rhiantebbutt/10697642174 ---
I barely had the energy to write this week's review as I am working very very hard to complete a long list of the top 100 shittiest things about ed-tech from the last decade. Hopefully I will write some better "year in review" pieces here on this blog before the new year hits.
Icon credits: The Noun Project


MagneticOne is an innovative software company development company that focuses on creating software which will increase efficiency, functionality and profitability of on-line companies and businesses. MagneticOne one believes internet business should be fully automated and has automation software that will take your business to the next level. It will cut down on manpower and improve profitability. Use our discount coupon to get a great price on MagneticOne software products. Your company will greatly benefit from MagneticOne innovative software.
MagneticOne has much innovative software designed especially for online shops and stores. MagneticOne specializes in e-commerce and web services for effective store management, SEO and marketing automation, comparison shopping engines and affiliate networks integrations, email marketing etc. MagneticOne developed a number of software for online merchants and modules to greatly extend functionality of popular shopping carts - osCommerce, CRE Loaded, Zen Cart, X-Cart, Pinnacle Cart, Magento and others. Look for our promo code and discount coupons on MagneticOne products. Save money and buy the innovative software designed especially for your needs.
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{{@image(featuredImage, maxWidth=800, className=featured-post__image)}} {{title}} {{perex}} {{publishDate}}
{{@image(featuredImage, maxWidth=400, className=featured-post__image)}} {{title}} {{perex}} {{publishDate}}


Coffs Harbour lies about 200nm south of Brisbane. Once a fishing village, it still retains its original charm even though it is now a city. This area has a great climate and is a favourite holiday destination with a backdrop of mountains and fronted by sandy beaches.
There are a large number of water-based activities to choose from here. It is also surrounded by several National parks which include an important marine reserve. The growing of bananas is a big industry here.
June 2016: Coffs Harbour Marina suffered extensive storm damage. See http://www.abc.net.au/news/2016-06-06/coffs-harbour-marina-storm-damage/7483076. The marina is no longer able to cater for vessels requiring berthing until further notice. For more information or to get updates see http://www.coffsharbourmarina.com.au/
Location 30°18'16"S, 153°8'42"E.
For full details of Clearance into Australia, see Noonsite/Australia/Clearance page.
Anchor in the inner or outer anchorage whilst waiting for room inside the marina for clearance.
Last updated November 2015.
Coffs Harbour Marina currently unable to cater for visiting yachts due to storm damage (see note above).
Yachts can anchor in the inner or outer anchorage, or take a berth in the marina (depending on availability). Photo courtesty of SY Estrellita.
The inner anchorage (red star) is more protected in general from the swell and is between the old pier and the marina.
The outer anchorage (yellow star) is anywhere outside of the old pier including close up against the breakwater to the SE. It general it can be pretty rolly in the outer anchorage.
This is a very easy place to walk and bus to get various supplies. There are many small restaurants in the marina area itself and a 5 minute walk outside the marina. If you want quick groceries, there is a small IGA close by and a very large Cole’s supermarket further away towards town.
There are beautiful beaches on either side of the marina with lots of activity. The small hill overlooking the marina is a good walk.
Last updated June 2016.


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Account Executive
The Account Executive generates new revenue and drives sales growth through the identification. engagement and acquisition of prospective clients within an assigned territory. by (a) developing new business through prospecting, lead generation, cold calling, scheduling and leading sales presentations, (b) aligning the company products, services and value proposition through meaningful cold calls to senior IT executives within an assigned territory, and (c) delivering against set goals and metrics.
Skills
- Intellectual agility and curiosity. Willingness to continually learn about the product and customer and use the knowledge adeptly in demonstrating and articulating ITRG's value proposition.
- Excellent communication and selling skills: Ability to communicate internally and externally with senior executives in a clear, compelling and concise manner; demonstrates sales skills throughout the sales process.
- Active listening skills: Ability to listen and respond to a customer in a manner that improves mutual understanding.
- Organization/time management skills: Ability and discipline to effectively manage a series of diverse and complex sales activities with on-going re-prioritization and focus.
- Persistence and resilience: Demonstrates consistent tenacity in managing the sales process and successfully overcomes setbacks and disappointments; uses creativity and innovation to address sales challenges and obstacles with a solutions oriented focus.
Qualifications
- Bachelor's degree in any field
- 3+ years front line sales experience, preferably gained in a highly transactional B2B sales environment with a consistent track record of hitting sales targets.
- Strong attention to detail
- Excellent analytical and problem solving skills
- Business acumen: Uses knowledge of the business environment and IT to engage customers.
- Self-awareness: Self-motivated with an awareness with an awareness and understanding of one's strengths and areas of development.
- Experience in an advisory, information and/r business services organization.


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| Package | Description |
|---|---|
| org.dellroad.hl7 |
This is the API documentation for the hl7lib Java library.
|
| Modifier and Type | Field and Description |
|---|---|
static HL7Field |
HL7Field.EMPTY
The empty field.
|
| Modifier and Type | Field and Description |
|---|---|
protected ArrayList<HL7Field> |
HL7Segment.fields |
| Modifier and Type | Method and Description |
|---|---|
HL7Field |
MSHSegment.getControlID()
Returns control ID from MSH.10.
|
HL7Field |
HL7Segment.getField(int index)
Get a field by "HL7 index".
|
HL7Field |
HL7Message.getField(String name)
Convenience method.
|
HL7Field |
HL7Message.getField(String name,
int segnum)
Find a field by HL7 name.
|
HL7Field[] |
HL7Segment.getFields()
Get all of the fields, starting with the segment name.
|
HL7Field |
MSHSegment.getMessageType()
Returns message type from MSH.9.
|
HL7Field |
MSHSegment.getProcessingID()
Returns control ID from MSH.11.
|
HL7Field |
MSHSegment.getReceivingApplication()
Returns receiving application from MSH.5.
|
HL7Field |
MSHSegment.getReceivingFacility()
Returns receiving facility from MSH.6.
|
HL7Field |
MSHSegment.getSendingApplication()
Returns sending application from MSH.3.
|
HL7Field |
MSHSegment.getSendingFacility()
Returns sending facility from MSH.4.
|
HL7Field |
MSHSegment.getTimestamp()
Returns message timestamp from MSH.7.
|
HL7Field |
MSHSegment.getVersionID()
Returns HL7 version from MSH.12.
|
| Modifier and Type | Method and Description |
|---|---|
void |
HL7Segment.appendField(HL7Field field)
Add a field to the end of this segment.
|
void |
MSHSegment.setControlID(HL7Field field) |
void |
HL7Segment.setField(int index,
HL7Field field)
Set a field in this segment.
|
void |
MSHSegment.setField(int index,
HL7Field field)
This subclass version disallows setting MSH.1 or MSH.2 directly.
|
void |
MSHSegment.setMessageType(HL7Field field) |
void |
MSHSegment.setProcessingID(HL7Field field) |
void |
MSHSegment.setReceivingApplication(HL7Field field) |
void |
MSHSegment.setReceivingFacility(HL7Field field) |
void |
MSHSegment.setSendingApplication(HL7Field field) |
void |
MSHSegment.setSendingFacility(HL7Field field) |
void |
MSHSegment.setTimestamp(HL7Field field) |
void |
MSHSegment.setVersionID(HL7Field field) |
| Constructor and Description |
|---|
HL7Field(HL7Field field)
Copy constructor.
|
HL7Segment(String name,
HL7Field[] fields)
Constructor taking segment name and explicit fields.
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Figure 1
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C-type antiferromagnetic structure of PVO. Pb and V atoms ar ... |
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Figure 2
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Evolution of lattice parameters in PbTi 1– x V x O 3 as a fu ... |
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Figure 3
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Total energy as a function of displacement of Pb ion along t ... |
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Figure 4
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Ferroelectric-to-paraelectric transition path for PVO obtain ... |
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Figure 5
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Charge density between (a) Ti and O1 in PbTiO 3, (b) V and O ... |
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Figure 6
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(a) Charge density, (b) charge transfer, and (c) electron lo ... |
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Figure 7
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Valence electron localization function isosurface plotted at ... |
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Figure 8
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Site and orbital-projected density of states (DOS) for PVO f ... |
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Figure 9
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Crystal orbital Hamilton population (COHP) for PVO in the pa ... |
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Figure 10
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Total density of states for PVO in the non-spin-polarized, f ... |
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Figure 11
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Electronic band dispersion for PVO in the (left) paraelectri ... |
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Figure 12
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Orbital-projected density of states for the 3d electrons in ... |
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Figure 13
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Orbital ordering pattern of PVO in (left) the ferroelectric ... |
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Figure 14
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Absorption spectra at the V L 2,3 edges for right circular a ... |
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Figure 15
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Calculated site-projected spontaneous electric polarization ... |


Computer Science Student at SCE, Bangalore.
I am a programmer by heart and a software developer by profession. I have experiences in Django stack and Tkinter.


AbstractPlaceholderService
public protocol AbstractPlaceholderService
Protocol for abstract service, which contains logic for drawing placeholder.
This protocol have main methods to draw placeholder as you want. Some methods is optional.
If you want to use you own custom placeholder service - you may implement service with this protocol.
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Method setups input field (textField or textView) with superview on your placeholder.
In this method you can add you placeholder container (eg UILabel or CATextLayer) on superview or handle weak link on you field/superview.
Important
Method will call on- field initialization
- configuration refresh
- or when you add service to your field
Declaration
Swift
func provide(superview: UIView, field: InputField?)
Parameters
superview
View where you have to place you placeholder
field
TextField/TextView where user will be enter some text
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Method allows you to setup some string in your placeholder.
In this method you have to setup placeholder string in placeholder container.
Important
The only place where method will be called from frameworks field - isfunc configure(placeholder: String?)
method. If you have more than one placeholder service - you have to provide string yourself.Declaration
Swift
func setup(placeholder: String?)
Parameters
placeholder
String for placeholder
-
Method allows you to configure placeholder initial state.
Important
This method will be called on- field initialization
- and when you add service to your field
Declaration
Swift
func configurePlaceholder(fieldState: FieldState, containerState: FieldContainerState)
Parameters
fieldState
State of field
containerState
State of field container (have more states compared with fieldState)
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Method allows you to configure placeholder for appropriate state.
This is main method where you have to place logic for placeholder state refreshing.
Important
This method will be called on- field initialization
- and when UI have some significant changes (eg user enter text, error occured, etc)
Declaration
Swift
func updateContent(fieldState: FieldState, containerState: FieldContainerState, animated: Bool)
Parameters
fieldState
State of field
containerState
State of field container (have more states compared with fieldState)
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update(useIncreasedRightPadding:
Default implementationfieldState: animated: ) This method will be called when you add/remove additional action button.
In this method you have to place logic for refreshing placeholder frame, so that it does not overlap the button.
Important
This is optional method. You can leave it empty if you doesn’t use action button or if you placeholder never overlap it.Default Implementation
Declaration
Swift
func update(useIncreasedRightPadding: Bool, fieldState: FieldState, animated: Bool)
Parameters
useIncreasedRightPadding
Flag indicating whether you should use increased right padding for your placeholder (if action button is visible) or not
fieldState
State of field
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updateAfterTextChanged(fieldState:
Default implementation) This method will be called when user enter some text in field, but state of field doesn’t changed.
Important
This is optional method. You can leave it empty if you don’t need to such logic.Default Implementation
Declaration
Swift
func updateAfterTextChanged(fieldState: FieldState)
Parameters
fieldState
State of field


Bluemix Language Lab
Welcome to the Natural Language Lab
Natural Language Classifier
Natural Language Classifier applies deep learning techniques to make predictions about the best predefined classes for short sentences or phrases.
Upload Training Doc
Input |
Output |
Natural Language Understanding
Natural Language Understanding is a collection of APIs that offer text analysis through natural language processing. This set of APIs can analyze text to help you understand its concepts, entities, keywords, sentiment, and more. Additionally, you can create a custom model for some APIs to get specific results that are tailored to your domain.
Input |
Output |


Class: 'poly molecular composite entity'
http://purl.org/biotop/btl2.owl#PolyMolecularCompositeEntity
Annotations (2)
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definition "An object which contains several molecules, has direct parts (components) of different types and which changes its ontological nature if subdivided. It must have clear unity and identity criteria." ()
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label "poly molecular composite entity" ()
Superclasses (1)
Disjoints (2)
Usage (1)
-
Class: 'poly molecular composite entity'


2020 Lincoln Corsair Grand Touring Plug-In Hybrid Comes To LA
Boasting an advanced electric all-wheel-drive system.
by Jay TraugottLast April at the 2019 New York Auto Show, Lincoln unveiled its latest premium crossover, the Corsair. Replacing the MKC, the Corsair is the smallest of Lincoln's SUV and crossover lineup, consisting of the Nautilus, Aviator, and Navigator. And now the luxury brand has unveiled its all-new Lincoln Corsair Grand Touring plug-in hybrid at this year's 2019 Los Angeles Auto Show. For buyers who desire a PHEV option, your wish has been granted.
Power comes from a specially engineered 2.5-liter Atkinson-cycle four-cylinder gasoline engine and a permanent magnet synchronous motor with a combined output of 266 horsepower, a figure Lincoln claims is based on its own calculations using computer engineering simulations. The combination of hybrid technology with a permanent all-wheel-drive system will deliver an all-electric range of over 25 miles.
Power is directed to all four wheels through a PowerSplit electric CVT. The Corsair Grand Touring is also the first Lincoln to feature electric all-wheel drive. This new system powers the rear wheels and provides performance and capability in situations where power to all four wheels is required.
There are five driving modes, Normal, Conserve, Excite, Slippery, and Deep Conditions, as well as another two modes specifically designated for "enhanced driving." Preserve EV recharges and saves battery power while continuing to use both the engine and electric motor to deliver top levels of performance. In fact, the high-voltage battery can be recharged up to 75 percent when this mode is selected. There's also Pure EV, intended to remain in all-electric mode in numerous conditions. If demand exceeds electric capability, the hybrid engine will automatically take over.
Another benefit to the Corsair's electrified powertrain is a quiet interior, which is further improved with sound-dampening materials. Active Noise Control does its part by enhancing overall sound quality via strategically placed microphones throughout the cabin capable of finding specific frequencies and tuning them out. The Corsair Grand Touring offers sliding second-row seats and a 60/40 fold-flat or split-bench option. Although its battery is located under the floor, Lincoln still managed to maximize luggage space and legroom.
Exterior styling is nearly identical to the non-PHEV Corsair, exceptions being a unique grille with the Lincoln star emblem in Spirit Blue, unique badging, and 20-inch wheels. Standard tech features include the Lincoln Co-Pilot 360 safety suite that includes Pre-Collision Assist with automatic emergency braking, lane-keep assist, rearview camera, and auto high beam headlights. The optional Co-Pilot 360 Plus adds adaptive cruise control with traffic jam assist, evasive steering assist, and active park assist plus.
The Lincoln Corsair Grand Touring will be built in Louisville, Kentucky and sales will get underway next summer. Pricing will be announced closer to that time.


public
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#
__construct( string $sApiKey = null, string $iGame = null, string $sSteamid = null )
Construction of the variables steamid, key and game
Construction of the variables steamid, key and game
Parameters
- $sApiKey
- Steamworks Developer API Key
- $iGame
- Your Appid
- $sSteamid
- The SteamID of the user
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public
boolean
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#
DeleteLeaderboard( string $sName )
Delete a leaderboard from your App
Delete a leaderboard from your App
Parameters
- $sName
- name of the leaderboard to delete
Returns
boolean
Throws
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public
object
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#
FindOrCreateLeaderboard( string $sName, string $sSortMethod = "Ascending", string $sDisplayType = "Numeric", boolean $bCreateIfNotFound = true, boolean $bOnlyTrustedWrites = false, boolean $bOnlyFriendsReads = false )
Create a leaderboard for your App
Create a leaderboard for your App
Parameters
- $sName
- name of the leaderboard to create
- $sSortMethod
- sort method to use for this leaderboard (defaults to Ascending)
- $sDisplayType
- display type for this leaderboard (defaults to Numeric)
- $bCreateIfNotFound
- if this is true the leaderboard will be created if it doesn't exist. Defaults to true.
- $bOnlyTrustedWrites
- if this is true the leaderboard scores cannot be set by clients, and can only be set by publisher via SetLeaderboardScore WebAPI. Defaults to false.
- $bOnlyFriendsReads
- if this is true the leaderboard scores can only be read for friends by clients, scores can always be read by publisher. Defaults to false.
Returns
object object(stdClass)
["result"]=>
int(1)
["test"]=>
object(stdClass)
["leaderBoardID"]=>
int(3337451)
["leaderBoardEntries"]=>
int(0)
["leaderBoardSortMethod"]=>
string(9) "Ascending"
["leaderBoardDisplayType"]=>
string(7) "Numeric"
["onlytrustedwrites"]=>
bool(false)
["onlyfriendsreads"]=>
bool(false)
}
}
Throws
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public
boolean
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#
ResetLeaderboard( string $sLeaderboardId )
Reset a leaderboard for your App
Reset a leaderboard for your App
Parameters
- $sLeaderboardId
- numeric ID of the target leaderboard. Can be retrieved from GetLeaderboardsForGame
Returns
boolean
Throws
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public
object
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#
SetLeaderboardScore( string $sLeaderboardId, string $sScore, string $sScoreMethod, rawbytes $rDetails = null )
Set a score for your leaderboard for your App
Set a score for your leaderboard for your App
Parameters
- $sLeaderboardId
- numeric ID of the target leaderboard. Can be retrieved from GetLeaderboardsForGame
- $sScore
- the score to set for this user
- $sScoreMethod
- update method to use. Can be "KeepBest" or "ForceUpdate"
- $rDetails
- (optional) game-specific details for how the score was earned. Up to 256 bytes.
Returns
object object(stdClass)
["result"]=>
int(1)
["leaderboard_entry_count"]=>
int(1)
["score_changed"]=>
bool(true)
["global_rank_previous"]=>
int(0)
["global_rank_new"]=>
int(1)
}
Throws
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public
object
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#
GetLeaderboardsForGame( )
Get all leaderboards from your App. Result is cached!
Get all leaderboards from your App. Result is cached!
Returns
object array(1) {
[0]=>
object(stdClass)
["id"]=>
int(3337465)
["name"]=>
string(4) "test"
["entries"]=>
int(1)
["sortmethod"]=>
string(9) "Ascending"
["displaytype"]=>
string(7) "Numeric"
["onlytrustedwrites"]=>
bool(false)
["onlyfriendsreads"]=>
bool(false)
}
}
Throws
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public
array
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#
GetLeaderboardEntries( integer $sLeaderboardId, string $sDataRequest, integer $iRangeStart, integer $iRangeEnd, boolean $bSteamid = true )
Get all leaderboard entries from your App
Get all leaderboard entries from your App
Parameters
- $sLeaderboardId
- ID of the leaderboard to view
- $sDataRequest
- type of request: RequestGlobal, RequestAroundUser, RequestFriends
- $iRangeStart
- range start or 0
- $iRangeEnd
- range end or max LB entries
- $bSteamid
- Use SteamID to lookup or not
Returns
array
Throws
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public
justinback\steam\game
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#
game( string $sApiKey = null, string $iGame = null, string $sSteamid = null )
Game object.
Parameters
- $sApiKey
- (optional) set a different apikey than the construct
- $iGame
- (optional) set a different appid than the construct
- $sSteamid
- (optional) set a different steamid than the construct
Returns
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