Couple sell £350,000 home to take children on world tour
They were bored of the 9-5
by Neil ShawA couple bored of the “9-5 working life rut” quit their jobs and sold their £350,000 family home to travel the world with their young kids.
Stock market trader Andre Baldeo, 45, thought he happy and healthy but realised he was simply "going through the motions" rather than living life to the full.
In a bid to show kids , Rico, 12, and Tiana-Mae, ten, there was "more to life than suburbia", he convinced wife Becky, 44, to uproot the entire family and go wandering.
They both quit their jobs, sold their belongings and bought a one-way ticket for an 18-month trip of a lifetime.
They travelled 51,000 miles across 13 countries in South America and Asia, visiting 48 cities, staying in hotels, youth hostels and jungle lodges.
The family spent Christmas in Tokyo, hiked the Andes, walked up volcanoes, and explored the Amazon forest.
They swapped days at school and work for stints conserving turtles, working on farms and even football coaching, 'home-schooling' the kids along the way.
Now back home they are unemployed and living in rented accommodation - but said the £65,000 trip was worth every penny.
Andre, from Enfield, north London, said: “It was time for a change and I rehashed one of my life long dreams to Becky - to travel the world and experience as much as we could as a family of four.
“It really hit home how we have to make the most of our lives.
“Working long hours stuck in front of six monitor screens, studying graphs and looking at news can become very lonely and extremely depressing.
"It became suffocating.
“We needed a change and needed to do something different.
"I wanted to show our children there is more to life outside of suburbia.
“It was completely life-changing and incredibly inspiring but it was the scariest thing I’ve ever had to do.
“We broke down all the security we had at home and literally gave up everything.
“I do feel proud to have done it and it is the best £65,000 I have ever spent.
“We now have the most amazing memories to keep forever and nothing will change that.
“I gave up our family home and I don’t regret it for a second.
“It was the trip of a lifetime and coming back home has been very strange. It’s going to take a while for us to get used to normal life again.
”I know when on my deathbed,I’ll have a head full of amazing experiences and memories and won’t have any regrets to what we sacrificed to make them happen."
Andre lived and worked in London as a trader for nine years, where he met South African native, Becky, a PA.
They moved to Cape Town together in 2007, had Rico and Tiana-Mae, and lived a comfortable life, with Andre earning around £35,000 a year.
But in September 2016, Andre said he realised he was getting tired of “going through the motions”.
He felt as though his family were in a “9-5 working life rut” and wanted to find a way of “broadening horizons” for his kids so they could “learn from the world around them”.
But he finally made a decision to change his life when he heard a close friend in the UK who had a brain tumour had been given a matter of weeks to live.
During 18 months of planning they sold their Cape Town home and put all their belongings into storage.
Andre said they had no idea how long the trip would last for but boarded a one-way flight to Sarawak, in Borneo, in April 2018.
The family stayed in jungle lodges and bamboo lodges as they set their sights towards Malaysia and the Philippines - climbing the 4,100m tall Mount Kinabalu along the way.
They did turtle conservation work and volunteered in animal sanctuaries.
Andre said they planned their route as they went along, and next up was Thailand, Vietnam and Japan.
“Another volunteering opportunity arose in Japan, this time for me to dust of my boots and help coaching football at an academy”, said Andre.
“We lived with a Japanese family who had three small children.
"Food and board was provided in exchange for our help - me coaching football, and Becky helping around the house.
“Christmas was spent in Tokyo with an old friend of mine and his family, from my home town Enfield, North London.”
In February the family flew to Colombia and spent five weeks working at a foundation with local children.
After two months they flew to Ecuador for three weeks walking up volcanoes, exploring the Amazon and hiking in the Andes.
The last leg of the journey took the Baldeo’s down the eastern side of South America with visits to Peru, Bolivia and Chile.
Andre said the highlights of South America were a three day, 40km hike in the Andes mountains to Lake Quilotoa, in Ecuador, and visiting Machu Picchu.
Their last calling point was San Jose, in Costa Rica, where they boarded a plane back home, arriving back in Cape Town on October 29.
He said it was the best experience of his life - but admits it wasn't always easy.
He said: “A lot of people think that this way of life is glamorous and essentially a glorified holiday.
“It is very difficult being together, just the four of us 24/7. No one gets any personal space at all.
“My guilty pleasure when we packed our rucksacks to come away was my running shoes, so thankfully I got away for some time alone a few times a week.
“Becky’s guilty pleasure was her hair straighteners - but she has only used them once.
“To be honest living out of bags, having cold showers, long bus journeys and constantly moving and not having familiar surroundings got draining.
“But the amazing experiences that we had cancel out the negatives.
“We realised we were coming towards the end after about a year and four months.
"We were getting very tired and planned out way back home.”
The family are now renting a fully-furnished family home while they get back on their feet.
Rico and Tiana-Mae will start back at school in a few weeks time.
“It already feels like a distant dream but we have a different outlook on life now and we are all better people for it”, said Andre.
“We met some incredibly poor people and we have taken so many life lessons out of it."


Arizona’s Ducey elected vice chairman of GOP governors group
PHOENIX (AP) - Arizona Gov. Doug Ducey has been selected for the No. 2 role in the Republican Governors Association for 2020.
The RGA announced Thursday that GOP governors had selected Ducey to be vice chairman of the organization tasked with helping to elect Republican governors.
Gov. Greg Abbott of Texas will be the chairman.
Ducey is in his second stint as Arizona governor and is barred by term limits from running for re-election. He leaves the office following the 2022 election.
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Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Sequence definition.
Inheritance:
Public Fields
-
int n_real_frames
- Real number of frames
-
real** frames
- Array of usable frame pointers.
-
int n_frames
- Number of visible frames
-
int frame_size
- Frame size
Public Methods
-
Sequence()
- Create an empty sequence
-
Sequence(real** frames_, int n_frames_, int frame_size_)
- Create a sequences of n_frames_ frames with size frame_size_.
-
Sequence(int n_frames_, int frame_size_)
- Create a sequence with n_frames_ standard frames of size frame_size
-
void resize(int n_frames_, bool allocate_new_frames=true)
- Resize the sequence to n_frames_.
-
void addFrame(real* frame, bool do_copy=false)
- Add a frame at the end of the Sequence.
-
void add(Sequence* sequence, bool do_copy=false)
- Add a sequence at the end of the Sequence.
-
void copy(Sequence* from)
- Copy the given sequence.
-
void copyFrom(real* vec)
- Copy a real vector in the full sequence.
-
void copyTo(real* vec)
- Copy the full sequence in a real vector.
-
virtual int getSequenceSpace()
- Get the space needed to allocate one Sequence
-
virtual int getFramesSpace()
- Get the space needed to allocate frames contained in the sequence
-
virtual Sequence* clone(Allocator* allocator_=NULL, void* sequence_memory=NULL, void* frames_memory=NULL)
- Clone the sequence.
-
virtual void saveXFile(XFile* file)
- Save the usable frames.
-
virtual void loadXFile(XFile* file)
- Load the usable frames.
Inherited from Object:
Public Fields
-
Allocator* allocator
Public Methods
-
void addOption(const char* name, int size, void* ptr, const char* help="")
-
void addIOption(const char* name, int* ptr, int init_value, const char* help="")
-
void addROption(const char* name, real* ptr, real init_value, const char* help="")
-
void addBOption(const char* name, bool* ptr, bool init_value, const char* help="")
-
void addOOption(const char* name, Object** ptr, Object* init_value, const char* help="")
-
void setOption(const char* name, void* ptr)
-
void setIOption(const char* name, int option)
-
void setROption(const char* name, real option)
-
void setBOption(const char* name, bool option)
-
void setOOption(const char* name, Object* option)
-
void load(const char* filename)
-
void save(const char* filename)
-
void* operator new(size_t size, Allocator* allocator_=NULL)
-
void* operator new(size_t size, Allocator* allocator_, void* ptr_)
-
void operator delete(void* ptr)
Documentation
Sequence definition.
A sequence is a set of frames (that is, a vector) which have the same size.
- int n_real_frames
- Real number of frames
- real** frames
- Array of usable frame pointers.
The actual size of this array is given by n_real_frames.
And the usable size is given by n_frames.
- int n_frames
- Number of visible frames
- int frame_size
- Frame size
- Sequence()
- Create an empty sequence
- Sequence(real** frames_, int n_frames_, int frame_size_)
- Create a sequences of n_frames_ frames with size frame_size_.
The frames are given by the frames_ array.
Nothing (except pointers!) will be copied.
- Sequence(int n_frames_, int frame_size_)
- Create a sequence with n_frames_ standard frames
of size frame_size
- void resize(int n_frames_, bool allocate_new_frames=true)
- Resize the sequence to n_frames_. Note that if n_frames_ is lower
than the previous one, the frames won't be deallocated, and can be retrieved
by another resize...
- void addFrame(real* frame, bool do_copy=false)
- Add a frame at the end of the Sequence.
If do_copy is true, copy the sequence.
Else, just copy the pointer.
- void add(Sequence* sequence, bool do_copy=false)
- Add a sequence at the end of the Sequence.
If do_copy is true, copy the frame contents.
Else, just copy the frame pointers.
- void copy(Sequence* from)
- Copy the given sequence.
The given sequence don't need to have the same structure.
But it must have the same total length.
- void copyFrom(real* vec)
- Copy a real vector in the full sequence.
The sequence must have the good size!
- void copyTo(real* vec)
- Copy the full sequence in a real vector.
The sequence must have the good size!
- virtual int getSequenceSpace()
- Get the space needed to allocate one Sequence
- virtual int getFramesSpace()
- Get the space needed to allocate frames contained in the sequence
- virtual Sequence* clone(Allocator* allocator_=NULL, void* sequence_memory=NULL, void* frames_memory=NULL)
- Clone the sequence.
If allocator_ is non-null, call it for all memory allocation and object initialization.
Else, the returned sequence will be destroyed when the original sequence will be destroyed.
If sequence_memory is non-null, puts the class memory-space in it; it must contain
the space given by getSequenceSpace().
If frames_memory is non-null, use the given memory for frames allocation; it must contain
the space given by getFramesSpace().
- virtual void saveXFile(XFile* file)
- Save the usable frames. (n_frames available in frames).
- virtual void loadXFile(XFile* file)
- Load the usable frames. (n_frames available in frames).
- This class has no child classes.
- Author:
- Ronan Collobert<EMAIL_ADDRESS>Alphabetic index HTML hierarchy of classes or Java
This page was generated with the help of DOC++.


Wanna Watch ‘Euphoria: The Movie’? Too Bad, But ‘Waves’ Is the Closest Thing to It
I don’t know if I’ve ever had a movie rip me open emotionally quite as much as Waves. I’m not exaggerating when I say that I left a showing and openly sobbed on the street on the way to my train. The film, which hits theaters in limited release today, follows a Florida high school brother and sister as they deal with a loss that throws their lives into a total tailspin, which might sound familiar, because it’s really, REALLY similar to the plot of a little show you might have seen called Euphoria.
Let me preface by saying that Euphoria is incredible, and so is Waves. This is a positive comparison. Like, if you loved Euphoria, you WILL love Waves. I would bet my hard-earned dollars on it. Lemme explain why. FYI, there are light spoilers for Waves ahead, but they’ll make you wanna go see the movie, so...it’s your call.
The Alexa Demie factor.
Let’s start with the most obvious similarity: Alexia Demie is in both of these things.  In Waves, she plays a pretty similar character with a very similar arc, TBH, but she’s great at it! That’s why we love her in Euphoria. And her accent is basically the same. That’s a gift to everyone.
All the characters could realistically be in one big show or movie.
Both this show and movie are mostly about high schoolers, and the kids in Waves could a thousand percent exist in the Euphoria universe. All the characters we’re talking about here are dealing with really heavy shit, but that’s what makes both the show and movie so compelling.
Related Story
‘Euphoria’ Is Officially Getting a Season 2
One of the main characters in Waves, Tyler, is dealing with a career-ending sports injury, and it drives him to drink. And the main female character, Emily, is trying to help her boyfriend come to terms with the fact that his dad is dying from cancer. In both instances, we’ve graduated from “this one girl at school doesn’t like me” drama.
They have incredibly Hot Dads.
Sterling K. Brown plays the dad in Waves, and IDK, if you’ve ever seen Sterling K. Brown, but he is...hot. Also, you have to say his full name every time you mention him. That’s the law. He’s shirtless a lot in the movie, which is truly a blessing. I mean...
Eric Dane plays Nate’s dad in Euphoria, and he is also Very Hot.
Plus, both the characters have some seriously repressed toxic masculinity stuff going on, which makes them incredibly overbearing with their sons (shitty) but does keep things interesting.
The movie and the show are very pretty to look at.
One of the best parts about watching Euphoria, other than the essence of Zendaya, is the fact that the show is so damn good-looking. I mean, the colors! The lighting!
Waves is very much the same way. You will hardly be able to see it through the tears that will be pouring out of your face, but it’s a very aesthetically pleasing movie.
In conclusion...
Go see Waves. Rewatch Euphoria. That is all.
Emma Baty Emma Baty is the Associate Entertainment Editor at Cosmopolitan who focuses on movies and TV.


About the App
This App is a collection of Aartis
This application is an offline application. You can see the content even when you are not connected to the internet. This application downloads data for offline usage.
About Hanu-Droid Framework
This application is developed using the Hanu-Droid framework. The Hanu-Droid framework allows you to develop android applications within few minutes. You need not worry about coding, just concentrate on content creation.
About Author
This application is developed by Ayansh TechnoSoft.
To see other apps developed by Ayansh TechnoSoft, visit https://ayansh.com
You can contact the developer by Email.
Request features and Report bugs
To request a new feature or to report a bug in the app, please contact the developer by Email.
Copyright (c) 2018-2020 Ayansh TechnoSoft. All rights reserved.


public interface OpDefOrBuilder
extends org.nd4j.shade.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
boolean |
getAllowsUninitializedInput()
By default, all inputs to an Op must be initialized Tensors.
|
OpDef.AttrDef |
getAttr(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4; |
int |
getAttrCount()
repeated .tensorflow.OpDef.AttrDef attr = 4; |
List<OpDef.AttrDef> |
getAttrList()
repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.AttrDefOrBuilder |
getAttrOrBuilder(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4; |
List<? extends OpDef.AttrDefOrBuilder> |
getAttrOrBuilderList()
repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDeprecation |
getDeprecation()
Optional deprecation based on GraphDef versions.
|
OpDeprecationOrBuilder |
getDeprecationOrBuilder()
Optional deprecation based on GraphDef versions.
|
String |
getDescription()
Additional, longer human-readable description of what the Op does.
|
org.nd4j.shade.protobuf.ByteString |
getDescriptionBytes()
Additional, longer human-readable description of what the Op does.
|
OpDef.ArgDef |
getInputArg(int index)
Description of the input(s).
|
int |
getInputArgCount()
Description of the input(s).
|
List<OpDef.ArgDef> |
getInputArgList()
Description of the input(s).
|
OpDef.ArgDefOrBuilder |
getInputArgOrBuilder(int index)
Description of the input(s).
|
List<? extends OpDef.ArgDefOrBuilder> |
getInputArgOrBuilderList()
Description of the input(s).
|
boolean |
getIsAggregate()
If is_aggregate is true, then this operation accepts N >= 2
inputs and produces 1 output all of the same type.
|
boolean |
getIsCommutative()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18; |
boolean |
getIsStateful()
Ops are marked as stateful if their behavior depends on some state beyond
their input tensors (e.g. variable reading op) or if they have
a side-effect (e.g. printing or asserting ops).
|
String |
getName()
Op names starting with an underscore are reserved for internal use.
|
org.nd4j.shade.protobuf.ByteString |
getNameBytes()
Op names starting with an underscore are reserved for internal use.
|
OpDef.ArgDef |
getOutputArg(int index)
Description of the output(s).
|
int |
getOutputArgCount()
Description of the output(s).
|
List<OpDef.ArgDef> |
getOutputArgList()
Description of the output(s).
|
OpDef.ArgDefOrBuilder |
getOutputArgOrBuilder(int index)
Description of the output(s).
|
List<? extends OpDef.ArgDefOrBuilder> |
getOutputArgOrBuilderList()
Description of the output(s).
|
String |
getSummary()
One-line human-readable description of what the Op does.
|
org.nd4j.shade.protobuf.ByteString |
getSummaryBytes()
One-line human-readable description of what the Op does.
|
boolean |
hasDeprecation()
Optional deprecation based on GraphDef versions.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
String getName()
Op names starting with an underscore are reserved for internal use. Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9_]*".
string name = 1;
org.nd4j.shade.protobuf.ByteString getNameBytes()
Op names starting with an underscore are reserved for internal use. Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9_]*".
string name = 1;
List<OpDef.ArgDef> getInputArgList()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
OpDef.ArgDef getInputArg(int index)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
int getInputArgCount()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
List<? extends OpDef.ArgDefOrBuilder> getInputArgOrBuilderList()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
OpDef.ArgDefOrBuilder getInputArgOrBuilder(int index)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
List<OpDef.ArgDef> getOutputArgList()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
OpDef.ArgDef getOutputArg(int index)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
int getOutputArgCount()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
List<? extends OpDef.ArgDefOrBuilder> getOutputArgOrBuilderList()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
OpDef.ArgDefOrBuilder getOutputArgOrBuilder(int index)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
List<OpDef.AttrDef> getAttrList()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef getAttr(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
int getAttrCount()
repeated .tensorflow.OpDef.AttrDef attr = 4;
List<? extends OpDef.AttrDefOrBuilder> getAttrOrBuilderList()
repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder getAttrOrBuilder(int index)
repeated .tensorflow.OpDef.AttrDef attr = 4;
boolean hasDeprecation()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
OpDeprecation getDeprecation()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
OpDeprecationOrBuilder getDeprecationOrBuilder()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
String getSummary()
One-line human-readable description of what the Op does.
string summary = 5;
org.nd4j.shade.protobuf.ByteString getSummaryBytes()
One-line human-readable description of what the Op does.
string summary = 5;
String getDescription()
Additional, longer human-readable description of what the Op does.
string description = 6;
org.nd4j.shade.protobuf.ByteString getDescriptionBytes()
Additional, longer human-readable description of what the Op does.
string description = 6;
boolean getIsCommutative()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
boolean getIsAggregate()
If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type. Should be associative and commutative, and produce output with the same shape as the input. The optimizer may replace an aggregate op taking input from multiple devices with a tree of aggregate ops that aggregate locally within each device (and possibly within groups of nearby devices) before communicating. TODO(josh11b): Implement that optimization.
bool is_aggregate = 16;
boolean getIsStateful()
Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops must always produce the same output for the same input and have no side-effects. By default Ops may be moved between devices. Stateful ops should either not be moved, or should only be moved if that state can also be moved (e.g. via some sort of save / restore). Stateful ops are guaranteed to never be optimized away by Common Subexpression Elimination (CSE).
bool is_stateful = 17;
boolean getAllowsUninitializedInput()
By default, all inputs to an Op must be initialized Tensors. Ops that may initialize tensors for the first time should set this field to true, to allow the Op to take an uninitialized Tensor as input.
bool allows_uninitialized_input = 19;
Copyright © 2020. All rights reserved.


Spoilers: EastEnders' Jake Wood reveals 'spectacular' proposal for Max and Ruby
Max Branning (Jake Wood) and Ruby Allen (Louisa Lytton) have only been dating a couple of months in EastEnders, but Max is determined to hold on to his girlfriend, and thus he resolves to take their relationship to the next level by popping the big question — a task he undertakes during tonight’s episode.
Max has experienced a lot of heartache over the past couple of years — and this year has been one of his toughest yet, as he found himself going head-to-head with Rainie (Tanya Franks) over custody of baby Abi. Amid all of the devastation, however, he’s managed to find a little bit of happiness in his relationship with Ruby.
Speaking about Max’s journey over the last couple of months, actor Jake Wood told Metro.co.uk: ‘I think this last year — year and a half — has been about Max finding his feet really after everything he’s been through. You know, trying to get custody of Abi.’
Advertisement Advertisement
‘I think at the minute it feels like Max is getting settled and getting his feet on the ground, and getting back into normal life, if you like.’
Last night, viewers saw Max become embarrassed when a punter in E20 attempted to buy Ruby a drink, as he’d assumed that Max was simply Ruby’s dad.
The conversation got Max thinking, and — after making light of the situation — Jack (Scott Maslen) suggested that Max needs to up his game if he wants to keep Ruby.
Tonight, he takes it upon himself to pop the question, but how exactly does he come to this conclusion?
Jake told us: ‘He thinks that the right thing to do is to propose. He’s not exactly sure what Ruby wants, but I’m not exactly sure he knows what he wants. I think he just wants to make a commitment to her.’
‘He does it in the restaurant — in Walford East — and he enlists Bobby Beale to help him to make it spectacular and special’.
Yes, determined to prove he’s serious about Ruby, he asks Bobby (Clay Milner Russell) for help. However, Ian (Adam Woodyatt) eavesdrops on the conversation and wastes little time in winding Max up over what he’s heard.
Viewers will have to wait until tonight to see what transpires — and to see what Ruby’s answer is — but with Ian set to get involved, it’s no doubt going to be unmissable!
Yes or No? Now that is the question!
Advertisement Advertisement
EastEnders continues Friday 22nd September at 9pm on BBC One.


What are these starters I keep seeing?
Each starter represents an empty template to begin with, having the components in the name present.
How do I install the item?
Copy and paste all the items in the code folder to your server to your desired location.
What are those i class "ion " things?
That is Font Awesome, the amazing icons we used for this item you can learn more about them and find a cheatsheet on how to use them here http://ionicons.com/
How do I change the contact form information?
There is only one PHP file in the item, please open that item and replace the email address with yours.
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Please remember that this is a site template and is not connected to any CMS or any databases, so these features are mearly template designs, they are HTML and CSS and need to be connected to a back-end to work.
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The mobile UI section is comprised of elements that you can use to create an app. Please note that converting the item to an app is entirely up to you. If these elements don't suit you and you wish to reduce the page load, simply open framework.css and scroll to the very bottom. You can remove them from there.
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Add any JS you want starting from line 4. THis is very important since the AJAX refreshes the functions and they are present starting with line 3 and down to 927. When you tap a link that entire zone is refreshed. Be sure to import your script in all pages you want it to work. My suggestion is to copy the min version of your script in plugins.js and import it there as we imported ours.
This uses AJAX? How to I use a simple link? They don't work!
Any link that points outside the main item should have the class default-link. This will terminate the smooth state / ajax page loading for that link and it will work like anyother regular link!
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That's actually very easy. Open custom.js and delete lines 927 to 993
I'm a tech guru. I want more API's for the AJAX. I need them.
Everything you need to know to customize the AJAX and more API's can be located on the plugin page over at https://github.com/miguel-perez/smoothState.js
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If your app will be paid or have in-app paid features, yes. You do. We will pursue legal action against any app on any application store that uses our code and can't provide a license for an extended license use.
Every page in the homepages section is built using elements provided and explained in the documentation, and in case you don't understand how to change them, we're at your service http://enableds.com/html-support/ all the time and we'll gladly assist you in anything you need to know that is related to the item as is ( a site template ) free of charge!
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Conrado Mateu
5 Ratings
Model S is designed from the ground up to be the safest, most exhilarating sedan on the road. With unparalleled performance delivered through Tesla's unique, all-electric powertrain, Model S accelerates from 0 to 60 mph in as little as 2.5 seconds. Model S comes with Autopilot capabilities designed to make your highway driving not only safer, but stress free.
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On focusing on the input text element, hitting go in the device keyboard should submit the form. The actual submission will be prevented and instead 'Submit caught' will appear in the console.


Go-paste
How to run
cd go-paste/src go run main.go
How to upload
cat file | nc localhost 2020
How to retrieve paste
curl localhost:8080/
Sheesh, I'm not that tecky..


Starship is the minimal, blazing-fast, and infinitely customizable prompt for any shell!
This installer will install Starship on to /usr/local/
on your system.
After the installation, you will need to modify your shell startup files to use starship.


--- layout: post title: Dog date: '2016-07-30T14:30:18+02:00' categories: - Storyboards - Sketchbooks - Sketches - Grand Froid picture_url: https://film-Storyboards.tumblr.com/post/148209433940 ---


title 1 title 1 title 1 title 1 title 1
title 2
abc xyz asdf asdf
xyz asdf asdfa f asdfasdf
abc xyz asdf asdf
xyz
abc xyz asdf asdf
xyz
abc xyz asdf asdf
xyz
abc xyz asdf asdf
xyz


This is your inventory, click items to sell them.
These are the items that is buyable with the selected map, click them to buy.


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Unable to load existing data types from TMC file: "C:\TwinCAT\3.1\\CustomConfig\Modules\WaveSimulator0\WaveSimulator0.tmc"
was not found. Please check the path, if you intend to hide (override) data types defined in that file ('Configuration Parameters'
-> 'Code Generation' -> 'Tc Advanced' -> 'Hide DataTypes defined in TMC').
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Replaced infinity by DBL_MAX |
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Platform toolset Microsoft Visual C++ 2017 (V15.0) may not be supported by the currently used TwinCAT SDK version. Please
check compatibility.
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### Publish procedure completed successfully for TwinCAT RT (x64)
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WITNESS LIST House Administration Committee March 23, 2005-8:30A Invited Testimony On: Polan, Gaye (Executive Director of Preservation Board)


Honzi
/
Guides
/
World of Warcraft
/
Alliance Zones
/Teldrassil
Quest
Type
Recommended
to Complete?
Notes
Nature's Reprisal
Quest
No
Gives
[Ireroot Seeds]
which can be thrown anywhere.
Seek Redemption!
Quest
Yes
Required for Nature's Reprisal
Zenn's Bidding
Quest
Yes
Required for Nature's Reprisal


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Metatype Package Version 1.1.
Bundles wishing to use this package must list the package in the Import-Package header of the bundle's manifest. For example:
Import-Package: org.osgi.service.metatype; version=1.1


Local and Session Storage showcase
This is a sample application that demonstrates the differences between Local and Session Storage
Local Storage
- Open the console in the Developer Tools of your browser
- Type the following to save an item in Local Storage
localStorage.setItem('secret1', 'supersecret1')
- Type the following to retrieve the item from the Local Storage
localStorage.getItem('secret1')
- Open http://localhost:4000 in a new tab and type the
following in a new Developer Toops console. You will be
able to retrieve the item from the Local Storage:
localStorage.getItem('secret1')
- Close both tabs and re-open one. Type the following and
observe that the item will still be retrieved verifying that
data is persisted when the browser session ends.
localStorage.getItem('secret1')
Sessions Storage
- Open the console in the Developer Tools of your browser
- Type the following to save an item in Session Storage
sessionStorage.setItem('secret2', 'supersecret2')
- Type the following to retrieve the item from the Session Storage
sessionStorage.getItem('secret2')
- Open http://localhost:4000 in a new tab and type the
following in a new Developer Toops console. The item will
not be retrieved verifying that Session Storage is not
shared between tabs.
sessionStorage.getItem('secret2')
- Close both tabs and re-open one. Type the following and
observe that the item will not be retrieved verifying that
data is cleared when the browser session ends.
sessionStorage.getItem('secret2')


package graphalytics
The graphalytics
package contains classes, traits and objects for graph
analytics on Trees, 'DAG's and Directed Graphs. It provides an implicit
conversion when needed for converting doubles to vectors.
- Alphabetic
- By Inheritance
- graphalytics
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Type Members
-
class
APShortestPath
extends AnyRef
The
APShortestPath
class is used to solve shortest path problems for graphs stored in matrices.The
APShortestPath
class is used to solve shortest path problems for graphs stored in matrices. It solves the All-Pairs Shortest Path 'APSP' problem for directed graphs. The edge cost/distance (must be non-negative) can be stored in either a dense or sparse matrix. The Floyd-Warshall Algorithm is used.- See also
math.stackexchange.com/questions/240556/radius-diameter-and-center-of-graph
http://en.wikipedia.org/wiki/Floyd%E2%80%93Warshall_algorithm 'APSP' can be used to determine a graph's eccentricities, radius and diameter. These can also be computed using a BFS-based algorithm.
-
class
Ball
extends AnyRef
The
Ball
class provides an implementation for ball construction.The
Ball
class provides an implementation for ball construction. A ball consists of all vertices within a given radius of a given center.- See also
ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6691601&tag=1&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6691601%26tag%3D1
-
class
BipartiteMatcher
extends AnyRef
The
BipartiteMatcher
class provides an implementation of finding maximal Bipartite Matching.The
BipartiteMatcher
class provides an implementation of finding maximal Bipartite Matching.- See also
www.geeksforgeeks.org/maximum-bipartite-matching/
-
class
ColorDAG
extends AnyRef
The
ColorDAG
class provides a data structure Directed Acyclic Graphs 'DAG's with colored nodes.The
ColorDAG
class provides a data structure Directed Acyclic Graphs 'DAG's with colored nodes. TheColorDAG
consists of source nodes (in-degree is 0), sink nodes (out-degree is 0) and internal nodes. The edges connecting nodes must have color compatibility. TheColorDAG
is divided into 'k' stages: e.g., sources (stage 0), internals (stages 1..k-2) and sinks (stage k-1). -
class
DualIso
extends GraphMatcher
The
DualIso
class provides an implementation for Subgraph Isomorphism that uses Dual Graph Simulation for pruning. -
class
DualSim
extends GraphMatcher
The
DualSim
class provides an implementation for Dual Graph Simulation. -
class
DualSim2
extends GraphMatcher
The
DualSim2
class provides a second implementation for Dual Graph Simulation.The
DualSim2
class provides a second implementation for Dual Graph Simulation. It differs fromDualSim
by not using inverse adjacency sets ('pa') in order to save space. -
class
Graph
extends Cloneable
The
Graph
class stores vertex-labeled directed graphs using an adjacency set 'ch' representation, e.g., 'ch = { {1, 2}, {0}, {1} }' means that the graph has the following edges { (0, 1), (0, 2), (1, 0), (2, 1) }.The
Graph
class stores vertex-labeled directed graphs using an adjacency set 'ch' representation, e.g., 'ch = { {1, 2}, {0}, {1} }' means that the graph has the following edges { (0, 1), (0, 2), (1, 0), (2, 1) }. Optionally, inverse adjacency via the 'pa' array can be stored at the cost of nearly doubling the storage requirements. ---------------------------------------------------------------------------- -
class
GraphDFS
extends AnyRef
The
GraphDFS
performs Depth First Search (DFS) or Breadth First Search (BFS) on a Directed Graph.The
GraphDFS
performs Depth First Search (DFS) or Breadth First Search (BFS) on a Directed Graph. The class currently supports three predicates: (1) to find a matching label, and (2) to see if a destination vertex is reachable. -
class
GraphIO
extends AnyRef
The
GraphIO
class is used to write graphs to a file. -
class
GraphIso
extends AnyRef
The
GraphIso
class determines whether two labelled directed graphs are Graph Isomorphic. -
abstract
class
GraphMatcher
extends AnyRef
The
GraphMatcher
abstract class serves as a template for implementing specific algorithms for graph pattern matching. -
class
GraphMetrics
extends AnyRef
The
GraphMetrics
class provides methods for determining graph metrics that can be efficiently computed using Breadth-First Search (BFS).The
GraphMetrics
class provides methods for determining graph metrics that can be efficiently computed using Breadth-First Search (BFS). This works for undirected graphs. If a directed graph is passed in, it will be converted to a corresponding undirected graph. -
class
GraphSim
extends GraphMatcher
The
GraphSim
class provides an implementation for Simple Graph Simulation. -
class
GraphSim2
extends GraphMatcher
The
GraphSim2
class provides a second implementation for Simple Graph Simulation.The
GraphSim2
class provides a second implementation for Simple Graph Simulation. It differ fromGraphSim
in the looping order in the main for-loop and early termination when 'phi(u)' is empty. -
class
GraphSimIso
extends GraphMatcher
The
GraphSimIso
object provides an implementation for Subgraph Isomorphism that uses an adjacency set version of Ullmann's Algorithm. -
class
GraphqlOpt
extends AnyRef
The 'GraphqlOpt' class provides an implementation for Subgraph Isomorphism of GraphQL's Algorithm.
The 'GraphqlOpt' class provides an implementation for Subgraph Isomorphism of GraphQL's Algorithm.
- See also
http://cs.ucsb.edu/~dbl/papers/he_sigmod_2008.pdf (GraphQL paper)
-
trait
IsomorphismChecker
extends AnyRef
The
IsomorphismChecker
trait check the validity of the isomorphic matches between the query graph 'q' and subgraphs of the data graph 'g'. -
type
Pair = (Int, Int)
The
EdgeType
object define basic type for representing edges -
class
StrictSim
extends GraphMatcher
The 'StrictSim' class provides an implementation for strict simulation graph pattern matching.
The 'StrictSim' class provides an implementation for strict simulation graph pattern matching. This version uses
DualSim
.- See also
hipore.com/ijbd/2014/IJBD%20Vol%201%20No%201%202014.pdf
-
class
StrictSim2
extends GraphMatcher
The 'StrictSim2' class provides an implementation for strict simulation graph pattern matching.
The 'StrictSim2' class provides an implementation for strict simulation graph pattern matching. This version uses
DualSim2
.- See also
hipore.com/ijbd/2014/IJBD%20Vol%201%20No%201%202014.pdf FIX: try to implement without using parent references 'pa'.
-
class
TDigraph
extends Cloneable
The
TDigraph
class stores vertex/edge-labeled multi-directed graphs using an adjacency set 'ch' representation, e.g., 'ch = { {1, 2}, {0}, {1} }' means that the graph has the following edges { (0, 1), (0, 2), (1, 0), (2, 1) }.The
TDigraph
class stores vertex/edge-labeled multi-directed graphs using an adjacency set 'ch' representation, e.g., 'ch = { {1, 2}, {0}, {1} }' means that the graph has the following edges { (0, 1), (0, 2), (1, 0), (2, 1) }. Optionally, inverse adjacency via the 'pa' array can be stored at the cost of nearly doubling the storage requirements. ---------------------------------------------------------------------------- -
class
TightSim
extends GraphMatcher
The 'TightSim' class provides an implementation for tight simulation graph pattern matching.
The 'TightSim' class provides an implementation for tight simulation graph pattern matching. This version uses
DualSim
.- See also
hipore.com/ijbd/2014/IJBD%20Vol%201%20No%201%202014.pdf
-
class
TightSim2
extends GraphMatcher
The 'TightSim2' class provides an implementation for tight simulation graph pattern matching.
The 'TightSim2' class provides an implementation for tight simulation graph pattern matching. This version uses
DualSim2
.- See also
hipore.com/ijbd/2014/IJBD%20Vol%201%20No%201%202014.pdf FIX: try to implement without using parent references 'pa'.
-
class
Tree
extends AnyRef
The
Tree
class provides a data structure for multi-way trees with colored nodes. -
class
TreeLayout
extends AnyRef
The
TreeLayout
class is used to display multi-way trees with the root at the top and leaves at the bottom.The
TreeLayout
class is used to display multi-way trees with the root at the top and leaves at the bottom. It is translated from the pseudo-code given in- See also
onlinelibrary.wiley.com/doi/10.1002/spe.713/pdf
Appendix A of Christoph Buchheim, Michael Junger and Sebastian Leipert paper.
-
class
TreeNode
extends AnyRef
The
TreeNode
class is for a node in a tree.
Value Members
-
val
BASE_DIR: String
The relative path for base directory
-
val
EXT: String
The standard file extension for graphs
-
object
APShortestPath
The
APShortestPath
companion object provides factory methods for theAPShortestPath
class. -
object
APShortestPathTest
extends App
The
APShortestPathTest
object is used to test theAPShortestPath
class. - object BallTest extends App
-
object
BipartiteMatcherTest
extends App
The 'BipartiteMatcherTest' object is used to test
BipartiteMatcher
class. -
object
ColorDAGTest
extends App
The
ColorDAGTest
object used to test theColorDAG
class. -
object
Convert
The
Convert
object is used to convert between an Adjacency Matrix representation to an Adjacency Sets representation. -
object
ConvertTest
extends App
The
ConvertTest
object is used to test theConvert
object.The
ConvertTest
object is used to test theConvert
object. > run-main scalation.graphalytics.ConvertTest -
object
Cycle
The
Cycle
object provides a means for building a precedence/directed graph and checking it for cycles.The
Cycle
object provides a means for building a precedence/directed graph and checking it for cycles. For cycle detection, vertices are marked with traffic-light colors:- GreeN means go/unexplored,
- YelloW means caution/been there before,
- ReD mean stop/already fully explored.
-
object
CycleTest
extends App
The
CycleTest
object tests theCycle
object using a label-free precedence graph.The
CycleTest
object tests theCycle
object using a label-free precedence graph. Graphs are created by passing in an array of adjacency sets (one for each vertex). > run-main scalation.graphalytics.CycleTest -
object
DualIsoTest
extends App
The
DualIsoTest
object is used to test theDualIso
class.The
DualIsoTest
object is used to test theDualIso
class. > run-main scalation.graphalytics.DualIsoTest -
object
DualIsoTest2
extends App
The
DualIsoTest2
object is used to test theDualIso
class.The
DualIsoTest2
object is used to test theDualIso
class. > run-main scalation.graphalytics.DualIsoTest2 -
object
DualIsoTest3
extends App
The
DualIsoTest3
object is used to test theDualIso
class.The
DualIsoTest3
object is used to test theDualIso
class. > run-main scalation.graphalytics.DualIsoTest3 -
object
DualSim2Test
extends App
The
DualSim2Test
object is used to test theDualSim2
class.The
DualSim2Test
object is used to test theDualSim2
class. > run-main scalation.graphalytics.DualSim2Test -
object
DualSim2Test2
extends App
The
DualSim2Test2
object is used to test theDualSim2
class.The
DualSim2Test2
object is used to test theDualSim2
class. > run-main scalation.graphalytics.DualSim2Test2 -
object
DualSim2Test3
extends App
The
DualSim2Test3
object is used to test the 'DualSim2' class.The
DualSim2Test3
object is used to test the 'DualSim2' class. > run-main scalation.graphalytics.DualSim2Test3 -
object
DualSimTest
extends App
The
DualSimTest
object is used to test theDualSim
class.The
DualSimTest
object is used to test theDualSim
class. > run-main scalation.graphalytics.DualSimTest -
object
DualSimTest2
extends App
The
DualSimTest2
object is used to test theDualSim
class.The
DualSimTest2
object is used to test theDualSim
class. > run-main scalation.graphalytics.DualSimTest2 -
object
DualSimTest3
extends App
The
DualSimTest3
object is used to test theDualSim
class.The
DualSimTest3
object is used to test theDualSim
class. Read the query graph 'q' and data graph 'g' from files. > run-main scalation.graphalytics.DualSimTest3 -
object
Graph
The
Graph
companion object contains the example query graphs. -
object
GraphDFSTest
extends App
The
GraphDFSTest
is used to test theGraphDFS
class.The
GraphDFSTest
is used to test theGraphDFS
class. > run-main scalation.graphalytics.GraphDFSTest -
object
GraphGen
The
GraphGen
object is used to build random graph with various characteristics. -
object
GraphGenTest
extends App
The
GraphGenTest
object is used to test theGraphGen
class for building random graphs where a vertex's degree is uniformly distributed. -
object
GraphGenTest2
extends App
The
GraphGenTest2
object is used to test theGraphGen
class for building power law graphs. -
object
GraphGenTest3
extends App
The
GraphGenTest3
object is used to test theGraphGen
class for extracting query graphs from data graphs. -
object
GraphIO
The
GraphIO
object is the companion object to theGraphIO
class and is used for reading graphs from files. -
object
GraphIOTest
extends App
The
GraphIOTest
object is used to test theGraphIO
class and object.The
GraphIOTest
object is used to test theGraphIO
class and object. > run-main scalation.graphalytics.GraphIOTest -
object
GraphIsoTest
extends App
The
GraphIsoTest
object is used to test theGraphIso
class. -
object
GraphMatcherTest
extends App
The 'GraphMatcherTest' object runs six pattern matching algorithms on the above test graph.
The 'GraphMatcherTest' object runs six pattern matching algorithms on the above test graph. The algorithms tested are the following:
GraphSim
- Simple Graph SimulationGraphSim2
- Simple Graph Simulation (with early termination)DualSim
- Dual Graph SimulationDualSim2
- Dual Graph Simulation (with reduced memory footprint)UllmannIso
- Adjacency List Version of Ullmann's Subgraph Isomorphism AlgorithmDualIso
- Subgraph Isomorphism using Dual Simulation for Pruning -
object
GraphMetricsTest
extends App
The
GraphMetricsTest
object is used to test theGraphMetrics
class.The
GraphMetricsTest
object is used to test theGraphMetrics
class.- See also
http://math.stackexchange.com/questions/240556/radius-diameter-and-center-of-graph
-
object
GraphSim2Test
extends App
The
GraphSim2Test
object is used to test theGraphSim2
class.The
GraphSim2Test
object is used to test theGraphSim2
class. > run-main scalation.graphalytics.GraphSim2Test -
object
GraphSim2Test2
extends App
The
GraphSim2Test2
object is used to test theGraphSim2
class.The
GraphSim2Test2
object is used to test theGraphSim2
class. > run-main scalation.graphalytics.GraphSim2Test2 -
object
GraphSim2Test3
extends App
The
GraphSim2Test3
object is used to test theGraphSim2
class.The
GraphSim2Test3
object is used to test theGraphSim2
class. > run-main scalation.graphalytics.GraphSim2Test3 -
object
GraphSimIsoTest
extends App
The
GraphSimIsoTest
object is used to test theGraphSimIso
class. -
object
GraphSimTest
extends App
The
GraphSimTest
object is used to test theGraphSim
class.The
GraphSimTest
object is used to test theGraphSim
class. > run-main scalation.graphalytics.GraphSimTest -
object
GraphSimTest2
extends App
The
GraphSimTest2
object is used to test theGraphSim
class.The
GraphSimTest2
object is used to test theGraphSim
class. > run-main scalation.graphalytics.GraphSimTest2 -
object
GraphSimTest3
extends App
The 'GraphSimTest3' object is used to test the 'GraphSim' class.
The 'GraphSimTest3' object is used to test the 'GraphSim' class. Read the query graph 'q' and data graph 'g' from files. > run-main scalation.graphalytics.GraphSimTest3
-
object
GraphTest
extends App
The
GraphTest
object is used to test theGraph
class using the graphs given in theGraph
companion object.The
GraphTest
object is used to test theGraph
class using the graphs given in theGraph
companion object. > run-main scalation.graphalytics.GraphTest -
object
GraphTest2
extends App
The
GraphTest2
object is used to test theGraph
class using a randomly generated graph.The
GraphTest2
object is used to test theGraph
class using a randomly generated graph. > run-main scalation.graphalytics.GraphTest2 -
object
GraphqlOptTest
extends App
The
GraphqlOptTest
object randomly generates the data graph and corresponding query graph to testGraphqlOpt
class. -
object
GraphqlOptTest2
extends App
The
GraphqlOptTest2
object test theGraphqlOpt
class by feeding the value of data graph and query graph. -
object
GraphqlOptTest3
extends App
The
GraphqlOptTest3
object test theGraphqlOpt
class by feeding data graph and query graph relative file path. -
object
LabelType
The
LabelType
specifies (data) type for vertex and edge labels.The
LabelType
specifies (data) type for vertex and edge labels.TLabel
must be a subtype of Ordering [Any].- See also
www.scala-lang.org/api/current/#scala.math.Ordering
-
object
StrictSim2Test
extends App
The
StrictSim2Test
object is used to test theStrictSim2
class.The
StrictSim2Test
object is used to test theStrictSim2
class. > run-main scalation.graphalytics.StrictSim2Test -
object
StrictSim2Test2
extends App
The
StrictSim2Test2
object is used to test theStrictSim2
class.The
StrictSim2Test2
object is used to test theStrictSim2
class. > run-main scalation.graphalytics.StrictSimTest2 -
object
StrictSim2Test3
extends App
The
StrictSim2Test3
object test theStrictSim2
class by passing data graph and query graph relative file paths.The
StrictSim2Test3
object test theStrictSim2
class by passing data graph and query graph relative file paths. > run-main scalation.graphalytics.StrictSim2Test3 -
object
StrictSimTest
extends App
The
StrictSimTest
object is used to test theStrictSim
class.The
StrictSimTest
object is used to test theStrictSim
class. > run-main scalation.graphalytics.StrictSimTest -
object
StrictSimTest2
extends App
The
StrictSimTest2
object is used to test theStrictSim
class.The
StrictSimTest2
object is used to test theStrictSim
class. > run-main scalation.graphalytics.StrictSimTest2 -
object
StrictSimTest3
extends App
The
StrictSimTest3
object test theStrictSim
class by passing data graph and query graph relative file paths.The
StrictSimTest3
object test theStrictSim
class by passing data graph and query graph relative file paths. > run-main scalation.graphalytics.StrictSimTest3 -
object
TDigraph
The
TDigraph
companion object provides builder methods. -
object
TDigraphTest
extends App
The
TDigraphTest
object is used to test theTDigraph
class using the graphs given in theTDigraph
companion object.The
TDigraphTest
object is used to test theTDigraph
class using the graphs given in theTDigraph
companion object. > run-main scalation.graphalytics.TDigraphTest -
object
TestGraphContainer
The
GraphMatcherTest
object creates data graph and query graph that can be used to test the results produced by the pattern matching algorithms.The
GraphMatcherTest
object creates data graph and query graph that can be used to test the results produced by the pattern matching algorithms.- See also
MS Thesis, "A Comparison of Techniques for Graph Analytics on Big Data"
-
object
TightSim2Test
extends App
The
TightSim2Test
object is used to test theTightSim2
class.The
TightSim2Test
object is used to test theTightSim2
class. > run-main scalation.graphalytics.TightSim2Test -
object
TightSim2Test2
extends App
The
TightSim2Test2
object is used to test theTightSim2
class.The
TightSim2Test2
object is used to test theTightSim2
class. > run-main scalation.graphalytics.TightSimTest2 -
object
TightSim2Test3
extends App
The
TightSim2Test3
object test theTightSim2
class by passing data graph and query graph relative file paths.The
TightSim2Test3
object test theTightSim2
class by passing data graph and query graph relative file paths. > run-main scalation.graphalytics.TightSim2Test3 -
object
TightSimTest
extends App
The
TightSimTest
object is used to test theTightSim
class.The
TightSimTest
object is used to test theTightSim
class. > run-main scalation.graphalytics.TightSimTest -
object
TightSimTest2
extends App
The
TightSimTest2
object is used to test theTightSim
class.The
TightSimTest2
object is used to test theTightSim
class. > run-main scalation.graphalytics.TightSimTest2 -
object
TightSimTest3
extends App
The
TightSimTest3
object test theTightSim
class by passing data graph and query graph relative file paths.The
TightSimTest3
object test theTightSim
class by passing data graph and query graph relative file paths. > run-main scalation.graphalytics.TightSimTest3 -
object
TopSort
The
TopSort
object provides the 'topSort' method for creating a topological sort of the vertices in a directed graph.The
TopSort
object provides the 'topSort' method for creating a topological sort of the vertices in a directed graph. It also perform cycle detection. -
object
TopSortTest
extends App
The
TopSortTest
object tests theTopSort
object using a directed graph.The
TopSortTest
object tests theTopSort
object using a directed graph. Graphs are created by passing in an array of adjacency sets (one for each vertex). > run-main scalation.graphalytics.TopSortTest -
object
TrafficLight
extends Enumeration
The
TrafficLight
object is an enumeration object for traffic light colors.The
TrafficLight
object is an enumeration object for traffic light colors. Vertices are marked GreeN (unvisited), YelloW (processing), or ReD (done with). -
object
Tree
The
Tree
companion object provides methods for building trees.The
Tree
companion object provides methods for building trees. Toggle 'ANIMATE' flag to turn animation on/off. -
object
TreeLayoutTest
extends App
The
TreeLayoutTest
object is used to test theTreeLayout
class.The
TreeLayoutTest
object is used to test theTreeLayout
class. > run-main scalation.graphalytics.TreeLayoutTest -
object
TreeTest
extends App
The
TreeTest
object is used to test theTree
class by randomly building a tree.The
TreeTest
object is used to test theTree
class by randomly building a tree. > run-main scalation.graphalytics.TreeTest -
object
TreeTest2
extends App
The
TreeTest2
object is used to test theTree
class by manually building a tree.The
TreeTest2
object is used to test theTree
class by manually building a tree. > run-main scalation.graphalytics.TreeTest2 -
object
TreeTest3
extends App
The
TreeTest3
object is used to test theTree
class by manually building a tree.The
TreeTest3
object is used to test theTree
class by manually building a tree. > run-main scalation.graphalytics.TreeTest3 -
object
TreeTest4
extends App
The
TreeTest4
object is used to test theTree
class by manually building a tree.The
TreeTest4
object is used to test theTree
class by manually building a tree. No animation. > run-main scalation.graphalytics.TreeTest4 -
object
TripleType
The
TripleType
provides a type definition for triples.


This is header
this is text
This is bold text This is italic text This is strong text This is emphasis textThis is strikethroigh textThis is underline textthis is divthis is paragraph
test fonta this is small text this is marked text This istextand this is inserted text H2O 32
SING je osnovan davno!!!! HTML je okCitat sa sajta
this is quoted text
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This is font of computer code!!!
this is reverse text!
Nebojsa pera peric Bacanin


:500MS | :10000K
Problems involving the computation of exact values of very large magnitude and precision are common. For example, the computation of the national debt is a taxing experience for many computer systems.
This problem requires that you write a program to compute the exact value of Rn where R is a real number ( 0.0 < R < 99.999 ) and n is an integer such that 0 < n <= 25.
The input will consist of a set of pairs of values for R and n. The R value will occupy columns 1 through 6, and the n value will be in columns 8 and 9.
The output will consist of one line for each line of input giving the exact value of R^n. Leading zeros should be suppressed in the output. Insignificant trailing zeros must not be printed. Don't print the decimal point if the result is an integer.
95.123 12 0.4321 20 5.1234 15 6.7592 9 98.999 10 1.0100 12
548815620517731830194541.899025343415715973535967221869852721 .00000005148554641076956121994511276767154838481760200726351203835429763013462401<PHONE_NUMBER>9.928573701266488041146654993318703707511666295476720493953024 29448126.764121021618164430206909037173276672<PHONE_NUMBER>3629540498.107596019456651774561044010001 1.126825030131969720661201


Popular Areas in turbo or supercharger for honda goldwing
Honda gl1800 Goldwing "Turbo Charged !" - YouTube
Sep 17, 2010 . No? extra turbo needed
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Oct 12, 2010 . This brief video demonstrates why I love superchargers. . Honda Goldwing gl1800 "TURBO" 0 to 100 mph test runby 1800turbotech 194,926 .
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Honda gl1800 Turbo 0 to 120 mph in 15 sec. with only 3 psi - YouTube
Oct 19, 2010 . Honda gl1800 Turbo 0 to 120 mph in 15 sec. with only 3 psi . Its funny you should say that, the new Goldwing is an ingeniously designed machine, it was? . goldwing supercharger blowerby harveyc66 9,160 views · 0:58 .
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BMW K100 Turbo - RB Racing
. it was quite a sensation in that it wasn't a Kawasaki Z-1 nor a Honda Goldwing. . The turbo was capable of 180hp and the injectors were only good for 90 hp and no . Superchargers are there full time, directly coupled to your engine's rpm .
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my rebuilt 2008 turbo 1000 - Page 3 : Honda CBR 1000RR Motorcycle ...
my rebuilt 2008 turbo 1000 Bike of the Month. . A&A Performance sell a fantastic supercharger kit for Honda VFR800's, and I'm pretty sure that .
http://www.1000rr.net/forums/showthread.php?p=1984597


This is our menu of selectable burgers.
This is where you provide neccessary customer information.
First- and last name
E-mail
Street
House
Recipient Credit card Cash Bank transfer Mobile payment
Gender Female Male Non-binary Other/undisclosed


Meet a local with your interests and experience the best places in their city.
Local Experience is a platform for connecting you with locals in a new city who can show you their favorite places and share a bit of their culture. Avoid tourist traps as a traveler, find new places in your home town, and make new friends.
As a local with knowledge of your home town, make extra cash by taking spending time with travelers at your favorite restaurant, coffe shop, bar, or hike and make new friends along the way. Set up a small profile with details about your interestes and a brief description of where you like to go and what you like to do.


TPropertyValue class
TPropertyValue is a utility class that provides static methods to convert component property values to specific types.
TPropertyValue is commonly used in component setter methods to ensure the new property value is of specific type. For example, a boolean-typed property setter method would be as follows,
- function setPropertyName($value) {
- $value=TPropertyValue::ensureBoolean($value);
- // $value is now of boolean type
- }
Properties can be of the following types with specific type conversion rules:
Located in /TComponent.php (line 515)
Converts a value to array type. If the value is a string and it is
in the form (a,b,c) then an array consisting of each of the elements will be returned. If the value is a string and it is not in this form then an array consisting of just the string will be returned. If the value is not a string then
Converts a value to boolean type.
Note, string 'true' (case-insensitive) will be converted to true, string 'false' (case-insensitive) will be converted to false. If a string represents a non-zero number, it will be treated as true.
Converts a value to enum type.
This method checks if the value is of the specified enumerable type. A value is a valid enumerable value if it is equal to the name of a constant in the specified enumerable type (class). For more details about enumerable, see TEnumerable.
For backward compatibility, this method also supports sanity check of a string value to see if it is among the given list of strings.
Converts a value to float type.
Converts a value to integer type.
Converts a value to object type.
Converts a value to string type.
Note, a boolean value will be converted to 'true' if it is true and 'false' if it is false.
Documentation generated on Fri, 03 Jun 2011 16:23:29 +0200 by phpDocumentor 1.3.0RC4


Description
Starting from the results of the first protocol, we focused on the clusters regarding “discrimination” and “gender studies” in order to understand if there was a recurring pattern treating the theme of gender-based hate. The visualization shows 50 results for the queries “Hate against men” and “Hate against women” on Google Search. While clustering every result according to the type of source, it was often possible to notice that the orientation of hate treated by the sources wasn’t connected to its query, defining the focus of the protocol.
In the visualization it’s possible to see that the “news” (58%) are the biggest source we found about the topic and that the orientation of the hate treated in the results is prevalently “towards women” (68%) proving that the balance of hate is hanging on the female side. Furthermore, it was interesting to notice that most of the sources related to the query “Hate against women” were really oriented towards women, while it was different for the query “Hate against man”, which orientation was split between men and women. The prevalence of women’s hate confirmed the direction towards “feminism” established by the Seealsology.
Protocol
We searched for both queries on Google.com in Incognito Mode to be sure that the results were generated using anonymous browsing. We extracted the first 100 results for each query and excluded the e-commerce ones, keeping only 50 results for the visualization. Then we manually clustered the typology of the sources and we identified the gender-based hate orientation.


ukwac2tensor scripts¶
head_searcher.py¶
SENNA role labeler does not provide head detection functionality. This script attempts to find phrase head using the results of Malt parser and some additional heuristics heavily influenced by Magerman’s head percolation table. We implement an algorithm which is applied on SENNA processed files which we afterwards converted into xml format. The algorithm consists of three major stages or fallback strategies arbitrary called MALT, MALT_SPAN and LINEAR. The fallback strategies are applied sequentially until the phrase head is found. Such a 3-step approach allows us to achieve 90% head recall on the whole corpus. Intuitively, we give preference to the output produced by Malt parser as opposed to linear head search.
-
class
ukwac2tensor.head_searcher.
Linear
[source]¶ Class that implements LINEAR strategy. LINEAR strategy is triggered when MALT and MALT_SPAN fail or explicitly with
-a LINEAR
option. The key idea here is to return the last token in the stack. For example, for “against the twilight redness of the bay” node we first check if it is an adverbial phrase, if it is, the strategy returns the first VBG|VBZ|VBN, NN or RB token. If there are several such tokens, VBG|VBZ|VBN has the highest and RB the lowest priority. For example, VBG|VBZ|VBN will be returned if it precedes NN|RB and NN will be returned if it precedes RB accordingly.-
static
_get_ap_head
(tups)[source]¶ Find an appropriate AP head (RB|VBG) for the role types: ADV, MNR, TMP. Return last VBG, NN or RB. Head priority – VBG > NN > RB.
- Args:
- tups (tuple) – tuples of arguments:
('reading', 'nnp', '26'), ('festival', 'nnp', '27')
- Returns:
- found head with POS-tag and position index
tower/NNS/12
and the algorithm name
-
static
_get_np_head
(tups, np=False)[source]¶ Implement Magerman’s table inspired rules to search for phrase heads.
Example phrase: “against the twilight redness of the bay”
Iterate over each token and check if it is a member of NN|NNS|NNP|NNPS|VBG list, if it is, pop (if stack is not empty) and push the current token to the stack. In such manner iterate over all tokens in the node and return the last element on the stack in the end. When encounter a token outside of the list, break the iteration but only if we have already pushed once and return whatever is on the stack.
Suppose we encounter a possessive, we do not break the iteration in that case but continue, we push the next token after the possessive and return it in the end. Applying this algorithm to the example phrase above we find “redness” to be the phrase head.
- Args:
- tups (tuple) – tuples of arguments
- Returns:
- found head with POS-tag and position index
tower/NNS/12
and the algorithm name
-
static
run
(tup_arg, deptype)[source]¶ Run LINEAR algorithm. Decide whether to call AP or NP head searching heuristics.
- Args:
- tup_arg (tuple) – tuples of arguments:
('reading', 'nnp', '26'), ('festival', 'nnp', '27')
deptype (str) – dependency type - Returns:
- found head with POS-tag and position index
tower/NNS/12
and the algorithm name
-
static
-
class
ukwac2tensor.head_searcher.
Malt
[source]¶ MALT strategy implementation. In order to find the phrase head we analyze the results produced by Malt parser and SENNA. When SENNA processes the sentence it returns its governors and their dependents which we concatenate into role nodes. For example: “Meg stood in the garden doorway , her small figure silhouetted against the twilight redness of the bay .”
The sentence above will have “stand” and “silhouetted” as governors where “Meg”, “in the garden doorway” shall be the role nodes of “stand” and “her small figure”, “against the twilight redness of the bay” shall be the role nodes of “silhouetted”. In addition to the information above we also have the following Malt parser output:
token POS-tag index depend role meg np 1 2 sbj stand vvd 2 0 root in in 3 2 adv the dt 4 6 nmod garden nn 5 6 nmod doorway nn 6 3 pmod , , 7 11 p her pp$ 8 10 nmod small jj 9 10 nmod figure nn 10 11 sbj silhouette vvn 11 2 prn against in 12 11 adv the dt 13 15 nmod twilight nn 14 15 nmod redness nn 15 12 pmod of in 16 15 nmod the dt 17 18 nmod bay nn 18 16 pmod . sent 19 2 p
The above example is retrieved from
<malt></malt>
elements in xml. In particular, we need to find the heads of the following three phrases: | “in the garden doorway” | “her small figure” | “against the twilight redness of the bay”This is done by finding SENNA’s governor in Malt parser output, governor’s immediate dependents and comparing them with the tokens from SENNA’s role nodes. For our example the immediate dependents of “stand” are “silhouette”, “in” and the immediate dependents of “silhouette” are “ , ”, “against”, “figure”. These dependents (except “ , ”) are all present in the role nodes “in the garden doorway”, “her small figure”, “against the twilight redness of the bay” but not all of them are of interest to us. In particular we do not want to see prepositions as phrase heads, therefore the strategy skips them and returns the immediate dependents of the prepositions that are “doorway” for “in” and “redness” for “against”. Similarly, we skip any modal verbs and attempt to return their dependents as potential head candidates. If the phrase head is not a noun, verb or pronoun it is not accepted and the strategy falls back to the next searching strategy.
-
static
_get_token_malt_idx
(malt_map, depdic, token, isgov=False)[source]¶ Attempt to find a corresponding token in malt parse and replace the ukwac index with Malt index. Use mapping dict to lookup Malt indeces and return SENNA token with Malt index.
<There are couple of corrections I make due to MALT <> SENNA parse differences. I am checking whether a verb has any
md
,vbz
,vhz
etc. parents. If it does, I mark this verb so that later we could correctly identify the true parent for current token. Here is an example of Malt output to understand better what I mean:she pp 1 2 sbj --> could md 2 0 root <-- see vv 3 2 vc
Notice how “she” points to
md
parent in MALT (while SENNA will have “see” as a parent).Another example (malt output):
the dt 1 2 nmod bird nn 2 3 sbj --> be vbd 3 0 root <-- go vvn 4 3 vc . sent 5 3 p
Notice how “bird” points to
vbd
instead of “go”. This is not the only MALT <> SENNA parse difference, but one which requires separate handling. I have created unit-tests for such cases. Please run unit-tests each time after you change anything.>- Args:
- malt_map (OrderedDict) – a mapping of SENNA to MALT tokensdepdic (dict) – a mapping from SENNA index to MALT index, tagtoken (tuple) – SENNA tuple (‘settle’, ‘VB’, ‘4’), which is used to get MALT values from malt_mapisgov (bool) – True, if token is a governor and should be handled in a special way
- Returns:
a tuple of SENNA and Malt token indeces where
37
corresponds to Malt token index and35
points to the token’s governor:(('like', 'VBD', '36'), '37', '35')
-
static
run
(tups, remapped, deptype, govs)[source]¶ Use preprocessed malt data to find a tuple head. If the head can not be found fall back to head finding algorithm.
- Args:
- tups (tuple) – tuples of argumentsremapped (OrderedDict) – a mapping of SENNA to Malt tokensdeptype (str) – dependency typegovs (list) – a list of governor tuples
- Returns:
- found head with POS-tag and position index
tower/NNS/12
and the algorithm name
-
static
-
class
ukwac2tensor.head_searcher.
MaltSpan
[source]¶ MALT_SPAN strategy implementation.
Attempt to find malt head when MALT index search fails. Search for the token with the lowest positional index within Malt tokens block, which is the size of the SENNA node. If token position with the lowest index is in a list of allowed heads, accept it as NP head. If there are several tokens with the same index, fall back to LINEAR. <If this is too confusing, see first the input xml file and find
<malt></malt>
tags.
- Args:
- tups (tuple) – tuples of argumentsremapped (OrderedDict) – a mapping of SENNA to Malt tokens
(('the', 1), ('dt', '1', '39')),
(('rolling', 2), ('np', '2', '39')),
(('stones', 3), ('np', '3', '39'))
('the', 1)
is SENNA token and its index('dt', '1', '39')
is Malt datadt
is Malt defined POS-tag for “the”.1
is the token index.39
is the index of “the” governor (dependency link). - Returns:
- found head with POS-tag and position index
tower/NNS/12
and the algorithm name
-
static
-
ukwac2tensor.head_searcher.
_globals_init
()[source]¶ Initialize global list of algorithm names. <This function is used only by unittest scripts>
-
ukwac2tensor.head_searcher.
alg_controller
(tuparg, remapped, deptype, govs)[source]¶ Switch between various head searching strategies. If first strategy fails, fallback to the next one until the phrase head is found or not.
- Args:
- tuparg (tuple) – tuples of SENNA’s tokens with POS-tags and indeces.
Example:
(('the', 'dt', '1'), ('rolling', 'nnp', '2'), ('stones', 'nnps', '3'), (',', ',', '4'), ('genesis', 'nnp', '5')
remapped (OrderedDict) – a mapping between SENNA’s tokens and Malt block, where first tuple is SENNA’s(token, index)
and second tuple is Malt’s('POS-tag', "token's position", "token's governor position")
deptype (str) – dependency type stringgovs (tuple) – governor tuple as retrieved from SENNA’s output. Example:[('pretend', 'VBP', '33')]
- Returns:
- head (tuple) – phrase head found by one of the strategies.
- Example:
('september/nnp/25', 'LINEAR')
-
ukwac2tensor.head_searcher.
clean_up
(fname, output_dir)[source]¶ Remove input and output files after processing.
- Args:
- fname (str) – file nameoutput_dir (str) – dir where the results are saved
-
ukwac2tensor.head_searcher.
head_searcher
(args)[source]¶ Do various postprocessing steps (see code comments). Assign globals, system paths, save results and clean up the left over files.
- Args:
- args (dict) – a dict of arguments supplied by the user
-
ukwac2tensor.head_searcher.
is_called
(*calling_algs)[source]¶ Use global ALGS to trigger head searching algorithms that we explicitly defined with -a option.
-
ukwac2tensor.head_searcher.
map_to_malt_indexes
(lemsent, maltdata)[source]¶ Assign Malt block indexing to
<lemsent>
tokens, because<lemsent>
number of tokens can and is often different from Malt’s.<If we do not do this line rearrangement, we won’t be able to make use of Malt block in our xml input file. Malt block contains dependent -> governor indeces that we use to find a phrase head.>
<Maltdata shall have all non-normalized contractions of malt parse which, in case of SENNA’s output, are removed by
reduce_contractions
function from ukwac_converter.py script and therefore do not get intolemsent
. This is also one of the reasons for SENNA - Malt index differences.>- Args:
- lemsent (str) – a string from
<lemsent></lemsent>
maltdata (str) – a string from<malt></malt>
- Returns:
- result (OrderedDict) – a mapping between SENNA’s tokens and Malt block, where first tuple is SENNA’s
(token, index)
and second tuple is Malt’s('POS-tag', "token's position", "token's governor position")
::[((‘the’, 1), (‘dt’, ‘1’, ‘39’)), ((‘rolling’, 2), (‘np’, ‘3’, ‘39’)), ((‘stones’, 3), (‘np’, ‘4’, ‘39’)),]<The above example does not show any difference between SENNA and Malt indeces, however in many cases Malt index shall be different.>
tensor.py¶
This script creates 3-order tensor out of word0, relation(link), word1 tuples. It can compute either tuple counts or tuple PMI score. The result tensor is stored in .h5 file.
-
ukwac2tensor.tensor.
file_reader
(fname)[source]¶ Read a .gz archive and return its contents as a string. If the file specified is not an archive it attempt to read it as a general file.
- Args:
- fname (str) – file path
- Returns:
- fdata (str) – file contents
-
ukwac2tensor.tensor.
go_pandas
(args)[source]¶ Run xml parser, create a tensor from the returned counts dictionary, compute PMI’ scores and replace the counts. Save the new dataframe in .h5 file.
- Args:
- args (dict) – arguments supplied by the user
-
ukwac2tensor.tensor.
parse_heads_xml
(files_list, wfilter)[source]¶ Parse the file with phrase heads and create a dict of
{(word0, link, word1): cnt}
corresponding to “gov”, “dep type”, “dep” tags in the source xml. Check- Args:
- files_list (list) – a list of files to processwfilter (list) – a word filter, if a word is not present in the filter, it is skipped and not included into the tensor
- Returns:
dict – a dictionary of triple counts:
{('august-n', 'A2', 'surround-v'): 51, ('enquiry-n', 'A1', 'justify-v'): 200, ('september-n', 'AM-TMP', 'set-v'): 121, ...}
-
ukwac2tensor.tensor.
switch2pmi
(pdf)[source]¶ Using current tensor counts, compute pmi scores. Use equation: PMI’ = log(p(w0,w1|link) / (p(w0|link)p(w1|link))) Once pmi scores are computed, replace current counts with pmi.
- Args:
- pdf (DataFrame) – tensor containing counts of word triples.
- Returns:
- dict – new tensor dict containing pmi scores.
ukwac_converter.py¶
This script uses ukwac corpus as input for SENNA role labeler. SENNA processes sentences and returns the output which is collected and parsed in order to find governor and its dependant roles. The result is converted into xml representation and written to xml file.
The script consists of two classes and several functions that work with these classes. Below is a call graph visualization created with pycallgraph library.
Here is a brief description of the conversion procedure.
- Conversion procedure:
- Read ukwac file contents.
- Normalize contents by removing non-utf8 symbols.
- Extract the sentences, word lemmas and Malt parser data.
- Expand various contractions like “I’m, you’re, let’s”.
- Write extracted ukwac sentences into an input file.
- Feed the input file to SENNA role labeler.
- Collect SENNA’s output, extract governors and dependants.
- Create xml representation.
- Write an xml file.
- Clean up input, output files.
- Performance:
- It takes ~1h to process one ukwac file on Dual-Core AMD Opteron(R) 2.8Ghz. Using one of the Forbin machines, ~35-40 min.
-
class
ukwac2tensor.ukwac_converter.
SENNA
(senna_bin, isqsub=False)[source]¶ Class that runs SENNA role labeler and incorporates other critical post-processing methods.
-
_shell_call
(input_file, output_file, crashed)[source]¶ Call SENNA binary from /senna dir.
- Args:
- out_dir (str) – output directory pathinput_file (str) – input file nameoutput_file (str) – output file namecrashed (int) – number of SENNA crashes if any
-
clean_up
(out_dir, in_file, out_file, result_fname)[source]¶ Remove input and output files after conversion.
- Args:
- out_dir (str) – output directory pathin_file (str) – input file nameout_dir (str) – output file nameresult_fname (str) – final result file name
-
run
(sents, input_fname, output_fname)[source]¶ Write extracted sentences into input file, invoke SENNA binary and keep output file name in a list.
- Args:
- out_dir (str) – output directory pathsents (str) – ukwac extracted sentences, separated with “``”input_fname (str) – input file nameoutput_fname (str) – output file name
-
-
class
ukwac2tensor.ukwac_converter.
UkwacTools
[source]¶ Class that represents a collection of static methods required to parse ukWaC corpus. <Class implementation in order to wrap a mess of various string processing functions into a single class>
-
static
add_vps
(xml_tree)[source]¶ Search for verb phrases, merge verb particles with the verb (“make_out”) and modify the result output accordingly.
-
static
append_to_xml
(fname, root)[source]¶ Create xml file header, prettify xml structure and write xml representation of the sentences using
\r\n
as a separator.<IMPORTANT! Take into account that output file shall contain sentences separated by
\r\n
. Head searching will not work otherwise. This is an ugly hack for<text id></text>
tags to contain correct sentences.>- Args:
- fname (str) – file name to write the data toroot (xml.etree object) – xml.etree root object
-
static
clean_bad_chars
(mess)[source]¶ Remove some ukwac specific and non-utf8 chars from the file otherwise SENNA will generate skipped char warnings and it’s parsing quality will degrade.
- Args:
- mess (str) – file contents
- Returns:
- nice (str) – file contents with bad chars removed
-
static
clean_bad_chars_with_iconv
(fname, data)[source]¶ Use iconv to trim all bad utf-8 chars from the file. <I didn’t notice if this method helps to get rid of SENNA’s skipped chars warning. Just leave it here as an example of possible solution to remove non-utf8 chars using shell utils.>
- Args:
- fname (str) – file path data (str) – file contents
- Returns:
- cleaned_data (str) – file contents with non-utf8 chars removed
- using “iconv” tool.
-
static
get_dependants
(sent, idx, sent_chunk)[source]¶ Retrieve roles for a given governor.
- Args:
- sent (list) – a list of word, POS-tag, word index and roletuples:
[('first/JJ/3', ('I-A1',)), ('album/NN/4', ('E-A1',))]
sent_chunk (str) – ukwac tab separated column dataidx (int) – index to access correct ukwac column - Returns:
- role_bag (list) – a list of dicts where dep role is key and words, POS-tags, word indeces are values:
[{'V': 'justify/VB/20'}, {'A1': 'a/DT/21 full/JJ/22 enquiry/NN/23'}]
-
static
get_governors
(sent, sent_chunk)[source]¶ Retrieve and return a list of governors “S-V” from sentence columns. <if a column does not contain a governor an empty tuple is appended>”
- Args:
- sent (str) – a list of word, POS-tag, word index and role tuples:
[('first/JJ/3', ('I-A1',)), ('album/NN/4', ('E-A1',))]
sent_chunk (str) – ukwac tab separated column data - Returns:
- govs (list) – a list of gov tuples:
[('use/VBD/2',), ('mark/VB/4',)]
-
static
gzip_reader
(fname)[source]¶ Read a .gz archive and return its contents as a string. If the file specified is not an archive it attempt to read it as a general file.
- Args:
- fname (str) – file path
- Returns:
- fdata (str) – file contents
-
static
gzip_xml
(fname)[source]¶ Read and compress specified file, remove original file.
- Args:
- fname (str) – file name
-
static
include_malt
(data_lines)[source]¶ Extract parent-child information from source file that was generated by malt parser.
- Args:
- data_lines (list) – a list file sentences
- Returns:
- malt_dic (dict) – a dict of sent number and its malt parse
-
static
index_text_ids
(cleaned_data)[source]¶ Collect text ids and calculate sentences within <text id> </text> tags in order to insert ids during xml building.
- Args:
- cleaned_data (str) – file contents with non-utf8 chars removed
- Returns:
- ids_index (dict) – an ordered dict of url string and a number of
- sentences
-
static
insert_sent_delims
(sents)[source]¶ Insert sentence delimiters. SENNA is quite sensitive to input which is not properly separated. In order to process each sentence correctly we insert “``” delimiters.
- Args:
- sents (str) – sentences extracted from ukwac corpus
- Returns:
- sentences separated with “``”
-
static
merge_POS
(sent)[source]¶ This function merges XP and POS into one POS
- Args:
- sent (str) – sentence string
- Returns:
- stack (deque) – deque list of POS$ tags
-
static
reduce_contr
(data)[source]¶ Apply a dictionary of common contractions. SENNA is not able to tokenize and assign a correct POS-tag to a contracted token. Applying contractions allows us to improve SENNA’s output.
- Args:
- data (tuple) – tuple pairs (word, lemma)
- Returns:
- ndata (tuple) – tuple pairs (word, lemma)
-
static
-
ukwac2tensor.ukwac_converter.
build_xml
(lemmas, id_idx, result_fname, malt_data, pverbs)[source]¶ Read output file and build its xml representation.
- Args:
- lemmas (dict) – dict of word -> word lemma:
{'shops': 'shop'}
id_idx (OrderedDict) – an ordered dict of url string and a number of sentences that belong to itresult_fname (str) – final result file namemalt_data (defaultdict) – Malt parser data extracted from ukwac files and converted into a dict{sent number: parsed sent string}
pverbs (bool) – if True, find and add verb phrases
-
ukwac2tensor.ukwac_converter.
detect_missing_files
(scan_dir)[source]¶ For unknown reasons ukwac_converter.py might not process all ~3500 ukwac files. If this happens, use this function to scan for missed files.
-
ukwac2tensor.ukwac_converter.
extract_ukwac_data
(data)[source]¶ Extract 2 columns from ukwac files, create an ordered dict of (“word”, “lemma”) pairs and construct sentences for SENNA input.
- Args:
- data (str) – file contents
- Returns:
- norm_sents (str) – sentences reconstructed from ukwac and separated by “``”dict_lemmas (dict) – a dict of all words and their lemmastext_ids (OrderedDict) – an ordered dict of url string and a number of sentences, that belong to this url. Used in order to provide source reference for extracted sentencesinclude_malt_data (dict) – dict of sentence number and malt parse data extracted from ukwac file


It all started when I had to go take care of my mother's cats one night. She has always been in the hospital off and on for about the last ten years. I decided to see what was in the medicine cabinet. I found a bunch of bottles and wrote all the names down and got on the computer and looked them all up.
The one that really caught my eye was Clonazepam. I read the reports and decided I would give it a try. There was two bottles. One with .5 mg pills and one with 1.0 mg pills. I decided to take three 1.0 mg pills and four .5 mg pills, just to make it so I don't take them out of one bottle. The amount totaled 5 mg. I drove home and when I got there I went straight to my room and did a little more research on the dosage. I don't know where I looked, but I had my dosage figured out pretty well. I went up stairs with the three 1.0 mg pills and took all of them. I returned downstairs and started talking to people on a lucid dreaming site I visit often.
Fifteen minutes later I decided to take the four .5 mg pills. After doing this I went and sat down at the computer up stairs with a soda that I bought on the way home from my mom's house. I talked for a bit on the lucid dreaming site up stairs. I don't know why I was up stairs, I guess I just felt like looking around outside or something.
After a bit I felt definite effects. It began to get hard to get up from a sitting position. I decided to give myself a sobriety test. I did this by using the edge of a big rug on the floor as a straight line and trying to walk it without going off course. I tried probably five times and finally passed on my fifth try. Had to really concentrate to get it done. I then decided to return to the computer and continue to talk about my little adventure. But after I sat down and said a few thing's I blanked.
The next thing I remember was my dad shaking me and telling me to wake up and that I shouldn't be sleeping in the middle of the evening. I looked at the clock and saw that it was 6:00 P.M. I found this very amazing because of the fact that I blacked out at 2:00 A.M. that day. I looked down and saw that my soda was tipped over and had been dripping out the whole time, and there was a very large puddle around it from the dripping over a large amount of time.
That gave me a clear indication that I had to be somewhat able to comprehend things. I made it to the couch to lay down and sleep, and I carried my pop with me. I don't know if I turned off the computer or not because if it was on, my dad would have turned it off anyways.
I will never take this again. The feeling was pretty good, but the black out is pretty scary looking back. I could have fallen down a flight of stairs going trying to go down to my room or possibly wondered outside or something. I don't suggest messing with this drug at all.
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.


Interface: FastSpiByte
interface FastSpiByte
This is a natural extension of the SpiByte interface which allows fast
data transfers comparable to the SpiStream interface. You may want to
use the following code sequence to write a buffer as fast as possible
uint8_t *data;
uint8_t *response;
// start the first byte
call FastSpiByte.splitWrite(data[0]);
for(i = 1; i < length; ++i) {
// finish the previous one and write the next one
response[i-1] = call FastSpiByte.splitReadWrite(data[i]);
}
// finish the last byte
response[length-1] = call FastSpiByte.splitRead();
You can also do some useful computation (like calculate a CRC) while the
hardware is sending the byte.


First, start here:
... to look up where you should vote, as well as your ..
- Election District
- Senate District
- Congressional District
- Ward
- County Legislative District
- Assembly District
... it will also show what town you are voting for (if your town has someone running for a position within it).
You can also use the tool available via the Monroe County Election Board here:
Online Voter ApplicationThe Senate
First, we'll touch on the Senate. To find out what Senate district you are in, and who your senator is, go here:
NY Senate Webste ( you will see a place to enter your address ).
I live in Henrietta, so my senator is Sen. Patrick M. Gallivan. Note that you can contact your senator right there on the page, if you have something that you would like to let them know about.
It's important to know the region that your senator covers, so you know what may or may not be important to her or him. You can see a map of all of the districts here:
http://www.nysenate.gov/districts/map
... you can use the map to find your district, and then click on it. It will pop-up some 'markers' that represent locations where the senator has an office (satellite or primary).
Technology Tip:
If you're feeling technology inclined, you can get a "only your district map" by
using the below link with a slight modification:
http://www.nysenate.gov/district/<district_number>
Replace '<district_number>' with your district number. My district is 59, so my
link would look like this:
http://www.nysenate.gov/district/59
This can be useful for a more concise picture of how big (or small) your district
is.
63 of the senators are up for re-election in 2014, so it's important to know who your options are going to be when going to the poles. You can use this great link to find who will be running in your district:
BallotPedia - New York State Senate Elections
I encourage you to read all of the site, but you can look on the right side of the site, and see links to all of the districts. ALl the people running for the district are listed with their primary results (the vote for who will represent the party in the senate race), as well as who from each party will be seen on the ballet.
For the 59th district, I will see no Democrat option ( non ran under the Democrat ticket ), and my current senator, Patrick Gallivan, will be running under the Republican ticket.
Note: if you click on a senators name, you can see what committees she or he served on. This may be important to you when making your decision.
The State Assembly
You can search on the NY State Assembly website to see who your assembly person is here:
NY State Assembly - Search by Address
You can enter your address and hit search. The results will show up (rather non-descriptively) right below the search button:
Click the "click here" link to get to your Assembly person's website. I live in the 138th Assembly District, and my assembly person is Harry Bronson. His website is here:
On your assembly person's website you will find videos, pictures, and text that may help you get a better idea of what they stand for, and what they are working on getting done/changing in their district.
Using BallotPedia again, we can get lots of additional information about the Assembly Race for 2014.
BallotPedia - New York Assembly Election
You will be able to read all about the race on the page, as well as find your district on the right side of the page. My district is 138, so I will see Harry Bronson running under the Democrat ticket, and Peterson A. Vazquez is running under the Republican ticket.
By clicking on a person's name under the District number, you can get additional information about them including assembly committees they are apart of.
Congregational District
You can search to see who your Representative is in the House by going to this link and entering your zip code:
US House of Representatives - Find Representative
Be aware that you may need to enter in your address on the right side to get a higher level of granularity if your zipcode is split by a district (as many are).
Once you enter your address, you can see your Representative on the right side of the page. By clicking on their name, you will be brought to their website. There you will be able to find additional information about the representative.
Your Congregational district informs you who your representative into the House of Representatives is.
Using BallotPedia again, we can get lots of additional information about the Congressional Race for 2014:
BallotPedia - New York State House of Representatives Election
you will be able to read all about the race on that page, as well as find your district on the right side of the page. My district is 25, so I will see Luis Slaughter running on the Democrat and Working Families Party tickets, and Mark Assini on the Republican and Conservative Party tickets.
By clicking on a person's name under the District number, you can get additional information about them including assembly committees they are apart of.
Governor
One of the big items on the ticket will be the Governor race. I encourage you to do lots of research here, as this position may be one of the most important in this particulate vote.
BallotPedia - NY State Governor Race
Additional Voting
There may be many other positions that are shown on your ballot when you go to vote on November 4th, 2014. It is important that you contact your county election board to find out who else will be on the ballet. For Monroe County, NY you get information here:
http://www2.monroecounty.gov/elections-index.php
and call them at<PHONE_NUMBER>.
There is a tool that lets you check to see if you are registered to vote here:
http://www.monroecounty.gov/etc/voter/
... It also displays some information on who is currently in office for all of the positions across the state and federally that represent you.
Happy Voting Everyone


This page serves as a collection for all the projects I worked on in Software Engineering during the Spring 2021 semester.
The first project. A getting to know me page to go over some basic HTML.
This project! This page will be updated with more links as the semester goes on.
Dice RollerRolls two dice.
SyllabusA partial reproduction of the syllabus for this class.
Regular Expression practiceA demonstration of RegEx.
These are code examples from a textbook. None of it is original except for a single bit in each where I experimented.
Chapter 2A simple helloworld in Node.js. The phrase "Hello world" cannot be found anywhere except the filename
Chapter 3A page demonstrating the use of Express.
Chapter 4A slight use of modules.


Constructor
new Remote(target)
An in-memory representation of a node in our network.
Parameters:
| Name | Type | Description | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
target |
Object | Target object.
Properties
|
Properties:
| Name | Type | Description |
|---|---|---|
config |
Object | |
secure |
Boolean |
- Source:
Methods
(async) _DELETE(path, params) → {Object}
HTTP DELETE on the configured Authority.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
String | HTTP Path to request. |
params |
Object | Map of parameters to supply. |
- Source:
Returns:
- Full description of remote resource.
- Type
- Object
(async) _GET(path, params) → {FabricHTTPResult|String}
HTTP GET against the configured Authority.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
String | HTTP Path to request. |
params |
Object | Map of parameters to supply. |
- Source:
Returns:
Result of request.
- Type
- FabricHTTPResult | String
(async) _OPTIONS(path, params) → {Object}
HTTP OPTIONS on the configured Authority.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
String | HTTP Path to request. |
params |
Object | Map of parameters to supply. |
- Source:
Returns:
- Full description of remote resource.
- Type
- Object
(async) _PATCH(path, body) → {Object}
HTTP PATCH on the configured Authority.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
String | HTTP Path to request. |
body |
Object | Map of parameters to supply. |
- Source:
Returns:
- Full description of remote resource.
- Type
- Object
(async) _POST(path, params) → {FabricHTTPResult|String}
HTTP POST against the configured Authority.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
String | HTTP Path to request. |
params |
Object | Map of parameters to supply. |
- Source:
Returns:
Result of request.
- Type
- FabricHTTPResult | String
(async) _PUT(path, body) → {FabricHTTPResult|String}
HTTP PUT against the configured Authority.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
String | HTTP Path to request. |
body |
Object | Map of parameters to supply. |
- Source:
Returns:
Result of request.
- Type
- FabricHTTPResult | String
(async) enumerate() → {Configuration}
Enumerate the available Resources on the remote host.
- Source:
Returns:
An object with enumerable key/value pairs for the Application Resource Contract.
- Type
- Configuration
(async) request(type, path, paramsopt) → {FabricHTTPResult}
Make an HTTP request to the configured authority.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
type |
String | One of `GET`, `PUT`, `POST`, `DELETE`, or `OPTIONS`. | |
path |
String | The path to request from the authority. | |
params |
Object |
<optional> |
Options. |
- Source:
Returns:
- Type
- FabricHTTPResult