Full Schedule
Everything you need to know, day by day.
 Open bar, special guest speakers, live entertainment, and more!
Bossanova Ballroom
Doors @ 8:00am
Talks from 9:00am-5:00pm
Model Building: Refreshing Yoga Session @ 10:15am
Lunch @ Noon
Lightning Talks @ 1:00pm
Hiring Speed Networking @ 3:00pm
Family Photo @ 5:00pm
7:00pm-11:00pm @ Pips & Bounce
NOTE: Minors are welcome, but only until 9pm!
Bossanova Ballroom
Doors @ 8:00am
Talks from 9:00am-5:00pm
Model Building: Refreshing Yoga Session @ 10:15am
Lunch @ Noon
Lightning Talks @ 1:00pm
Hiring Speed Networking @ 3:00pm
The conference has ended, but we're all still here. Find some friendly faces and invite them to dinner or #relaxml brunch before you leave the venue!
Find your tribe on Slack, or on Twitter using the hashtag #ml4all.
Join your fellow attendees for a leisurely ride around Portland.
Meet in the Bossanova Ballroom parking lot. Click here for more info...
Get your badge and mingle. Open bar, special guest speakers Oz du Soleil and Wendy Bukoski, live entertainment, pool tables, and more! Minors are allowed the entire evening, so feel free to bring your kids and +1s (or +2s, we've got room).
In the upstairs lounge at the Bossanova Ballroom.
Enjoy the powerful and thoughtful music of local band The Dark Mother.
Come grab a light breakfast snack, handmade coffee or chai. Bling out your badge, mingle with other attendees, and find your perfect spot to camp out in for the day.
NOTE: While we know that "the early bird catches the worm", please DO NOT arrive early. We will be setting up in the morning, and will not be able to allow access to the building until 8:00am. If you get there early, you'll be waiting around on the sidewalk out front...
The ML4ALL Team will introduce the conference, and share some important info with the crowd.
Take some time between talks to stretch out and get your body comfortable. The one and only Allison Krug will lead a short yoga session, suitable for all levels of skill and fitness.
Or if you prefer just grab a pastry, and discuss the first two talks with one another. Meet someone new! Look out for the designated Introducer if you need help saying hello for the first time.
Lunch will be provided. Head downstairs to the parking lot for food carts and #FREEHOTSOUP. Vegetarian, vegan, gluten-free options included in the standard menu. Drinks available from the bar inside.
Looking for a job? Looking to hire someone? Head up to the upstairs lounge and take part in Hiring Speed Networking! This event pairs potential employeers with job seekers for quick 1min chat. Everyone gets to talk to everyone! :)
Of course, if you're not interested in any of that, you can always grab a discuss, and discuss the previous talks with one another. Meet someone new! Look out for the designated Introducer if you need help saying hello for the first time.
Pips & Bounce is an awesome adult and kid-friendly ping-pong focused venue.  Drinks and light snacks will be provided, and you're welcome to invite as many of your friends and family as you'd like!
Make sure someone in the group has a ML4ALL badge with them, to gain access. If you are over 21 and want to drink, please remember to bring ID. Under 21 guests are welcome and encouraged, but only before 9pm!
Come grab a light breakfast snack, handmade coffee or chai. Bling out your badge, mingle with other attendees, and find your perfect spot to camp out for the day.
The ML4ALL Team will introduce the conference, and share some important info with the crowd.
Take some time between talks to stretch out and get your body comfortable. The one and only Allison Krug will lead a short yoga session, suitable for all levels of skill and fitness.
Or if you prefer just grab a pastry, and discuss the first two talks with one another. Meet someone new! Look out for the designated Introducer if you need help saying hello for the first time.
Lunch will be provided. Head downstairs to the parking lot for food carts and #FREEHOTSOUP. Vegetarian, vegan, gluten-free options included in the standard menu. Drinks available from the bar inside.
Looking for a job? Looking to hire someone? Head up to the upstairs lounge and take part in Hiring Speed Networking! This event pairs potential employeers with job seekers for quick 1min chat. Everyone gets to talk to everyone! :)
Of course, if you're not interested in any of that, you can always grab a discuss, and discuss the previous talks with one another. Meet someone new! Look out for the designated Introducer if you need help saying hello for the first time.
The conference has ended, but we're all still here. Find some friendly faces and invite them to dinner before you leave the venue!
Find your tribe on Slack, or on Twitter using the hashtag #ml4all.
#relaxml Brunch: Around Wednesday? Organize #relaxml brunch plans with other attendees for Wed morning. It's a great way to decompress before heading back home. Post photos and invites until the #relaxml hashtag!
P.S. Don't forget to join us in Slack to keep the conversations going until the next conference!
Still hanging around Portland after the conference? Make plans to meet up with your fellow attendees, on Twitter under the hashtag #relaxml or in the #relaxml Slack channel.
P.S. If you post pics under the hashtag, you'll get a special offer for next year! ;)
The Bossanova Ballroom is ADA accessible, with some restrictions.
For more info, contact the venue at<PHONE_NUMBER>
The Pips & Bounce is ADA accessible, with no restrictions.
For more info, contact the venue at<PHONE_NUMBER>
The ride will be what I'd call a "slow ride", which is a super chill, easy going, roll through neighborhoods on the east side of Portland, down through the hip inner south east, and then back up around the waterfront.
I'll also provide a run down of a little Portland information about its wonky history, the neighborhood layout (check out point 2 on the map for instance, it's called Ladd's Addition), the awesome bridges the city has (two are unique in north America to Portland!), and more.
In addition we'll also make a number of stops for photos, a coffee, and prospective a beer if the crew is up for it. We'll leave at 2pm, and wrap up at 4pm in time to swing by our respective hotels and such before the evening reception.
Our starting point is shown above, it's a little hard to see but is denoted by a green dot! Basically we're going to start at the Bossonova Ballroom Parking Lot and depart from there.
Paige Bailey
This workshop, led by Paige Bailey, will focus on improving the documentation for TensorFlow, a popular open-source ML framework. You will learn how to document an API symbol, and how to make your first pull request to the TensorFlow repo. Beginners are welcome: new to TensorFlow, or new to open-source!
Nicolle Merrill
In this workshop, led by Nicolle Merrill, participants will learn techniques and strategies to find collaborators, strike up conversations with strangers, ask curious questions, and exit dying conversations. Together, you will embrace awkwardness and experiment with different conversational styles. Introverts strongly encouraged to attend.
Andrew Ferlitsch
In this 4hr workshop, led by Andrew Ferlitsch, you will learn how to use Keras (and openCV) from Python, for Computer Vision. This is an in-depth hands-on exercise intended for software engineers that are interested in expanding their skills to include machine learning.
Oz du Soleil
Oz du Soleil will share a deeply personal narrative describing his path from rebelious teen to one of a handful of Excel MVPs world-wide.
Wendy Bukoski
Wendy Bukoski will discuss the challenges of data collection on the streets, and her experience conducting our regional Point-In-Time Survey of the homeless population this year.
Dr. Melissa Santos
Let’s get started with forecasting! We’ll look at simple linear trends, polynomial fits, ARIMA models, and using Facebook’s Prophet library. The goal is to introduce you to forecasting and help you try modeling the future. We will also look at goodness-of-fit measures so we can compare our models.
Wale Akinfaderin
Feature engineering is rudimentary to applying machine learning models to raw and messy data. From multiple imputations for missing data to filtering in feature selection for issues like information redundancy, crafting bespoke features can be used to understand the underlying patterns in a dataset, facilitate the machine learning processing pipeline and improve model evaluation metrics.
In this talk, we will explore feature extraction and representation techniques for numeric, categorical and spatio-temporal features. We’ll also highlight other advance feature engineering methods like non-linear encoding for linear algorithms, topological filters, data leakage and best practices.
Sachi Parikh
Tyrone Poole
Inventor of OneApp, Tyrone Poole will tell the story of his personal journey from houseless disabled former fireman to tech CEO, and the mission that drives him; creating access to housing for everyone in America.
Erika Pelaez
Did you know that Machine Learning can help protect killer whales?
Orcasound is a magnificent open source project for people to connect to their neighbor killer whales of the pacific northwest. They provide a platform that continuously broadcasts the underwater sounds from the Puget Sound area to anyone willing to listen. Come to my talk and I’ll show you how we’re applying Machine Learning with the Scikit-learn Python library against web scraped audio to build models that can be used for signal collection and classification.
Avid users spend time listening to mostly noise or ships but frankly the majority is there just to hear the orca sounds. The present talk will narrate the process we are following to automatically detect and classify orca vs non orca (false killer whale and humpback whale) sounds.
The first challenge faced with this project was getting labeled data as the raw transmissions are unlabeled so my first approach was to build a dataset from scratch by web scraping audio from the internet using Beautiful soup then I used a bash script for making sure all the files had a maximum duration of 5s as this is the duration of the files that orcasound saves. The feature extraction of the audio files was handled with the librosa library from Python. I finally built a Random Forest Classifier with the scikit-learn Python library that was able to reach an accuracy of 99 +/-2% with a 10 fold cross validation. The next steps will be to have the model accessible through an API and send the collected signals to it for classification, after a signal is detected a notification could be send to the users so they don’t have to listen to all the noise.
Dr. Catherine Nelson
Data privacy is a huge topic right now for any business using personal data. People are questioning whether they should allow companies to collect data about them, and they are asking about what happens to that data after they hand it over. Machine learning systems often depend on data collected from their users to make accurate predictions. But can we build cool products powered by machine learning while still providing privacy for our users?
To start with, privacy is not a binary choice. There are many options available to developers for adding privacy to ML. In this talk, I’ll discuss some practical options, from simple methods to differential privacy, and show some examples of how we can incorporate these into real products. I’ll show how we’ve built a Data Washing Machine that allows us to provide nuanced levels of privacy via a simple API. I’ll also explore the tradeoff between user privacy and model accuracy, and show how we can still make accurate predictions with our models even when privacy is increased.
Amy Hodler
One of the most practical ways to improve our machine learning predictions right away is by using graphs for connected features. You’ll learn how graph algorithms can provide more predictive features as well as aid in feature selection to reduce overfitting.
In this session, you’ll hear about a link prediction example for collaboration with tips on training and evaluating a model using Neo4j and Spark. We’ll compare several models and show measurable improvements in accuracy, precision, and recall by folding in graph-based features.
Aeva van der Veen
If you think that only big tech companies or PhD scientists can use ML & AI, I'd like to show you that an individual open-source enthusiast can build and train a model on commodity hardware using Open Data - and then scale that up on a public cloud.

This talk grew out of a startup competition last year: we tried to use public-domain satellite imagery to help predict and prevent forest fires. Even though we chose not to pursue this as a business, it's an excellent example of how combine open source software, public data, and a gaming PC to build an ML pipeline.
Maria Khalusova
Choosing the right evaluation metric for your machine learning project is crucial, as it decides which model you’ll ultimately use. Those coming to ML from software development are often self-taught, but practice exercises and competitions generally dictate the evaluation metric. In a real-world scenario, how do you choose an appropriate metric? This talk will explore the important evaluation metrics used in regression and classification tasks, their pros and cons, and what is important when choosing one.
Dr. Sarah Kaiser
Description:In the rush to add the word _quantum_ to everything from batteries to banking, Quantum machine learning has entered the fray. A perfect combination of buzzwords that will get all of the funding....right? In this talk I want to look at: quantum computers are and how you program one. With this context, we can look at what machine learning tasks are being explored for possible speedups with quantum computing.
Deep Learning is one of the buzziest of tech buzz words at the moment. This session is designed to remove the mysticism from this amazing form of Artificial Intelligence.
Attendees will be led through the wilderness of the foundational principles underlying modern machine learning until they reach the oasis of a full-fledged understanding of deep learning for computer vision.
While this session is not for the faint of heart, initiates will attain a solid understanding of the basics of machine learning all the way through powerful image-deciphering convolutional neural networks.
Hannes Hapke
The prospect of developing and training machine learning models on datasets is exciting. While many conference attendees understand the potential value of deploying machine learning models and may even have a model in mind, not all are aware of the frameworks and tools to needed release them in the real world.
This talk will present an applicable framework to bring attendees’ machine learning models to life. Hannes will introduce the audience to tools including Tensorflow Serving and Google ML Engine and discuss them in the context of other popular serving applications such as Kubeflow, AWS Sagemaker, and Azure Machine Learning. He’ll guide the audience through a sample (live) deployment and highlight things to watch out for, such as scaling and costs, as well as the pitfalls of model versioning.
Attendees will leave the talk familiarized with popular approaches to machine learning model deployment, as well as an actual framework they can use to deploy their models for the greater good for the world.
Jules S. Damji
ML development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools, and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models. To address these problems, many companies are building custom “ML platforms” that automate this lifecycle, but even these platforms are limited to a few supported algorithms and to each company’s internal infrastructure.
In this session, we introduce MLflow, a new open source project from Databricks that aims to design an open ML platform where organizations can use any ML library and development tool of their choice to reliably build and share ML applications. MLflow introduces simple abstractions to package reproducible projects, track results, and encapsulate models that can be used with many existing tools, accelerating the ML lifecycle for organizations of any size.
With a short demo, you see a complete ML model life-cycle example, you will walk away with: MLflow concepts and abstractions for models, experiments, and projects How to get started with MLFlow Using tracking Python APIs during model training Using MLflow UI to visually compare and contrast experimental runs with different tuning parameters and evaluate metrics.
Two Girls of Color. Two Personal Life Experiences. Two Professionals and Speakers.
One Awarded an Asteroid for her work among dozen national and international awards,, a TedxYouth speaker on Implicit Bias and Stanford+ Harvard student researcher.
Another a Professor in Humanities delving into these co-related spaces for some decades. Launch team for India's first laptop, IBM in Philippines, World Trade Center in USA.
Gritty travelers, 100 countries combined. Both leading equity practitioners in their communities.
Together they will talk of "DiversityForce" - how we can astutely be a force to scale human(e)ity in AI. It will be powerful and speak to many interlinked communities.
Zhi Yang
Topic models have been widely applied to extract topics from various range of documents or collections of texts, i.e., online customers reviews, medical records, scientific journals, legal documents, books and etc. Its application facilitates the process for us to quickly understand the most featured and commonly shared information embedded texts without actually reading through the entire collection. In addition, topic models also allow us to access the contribution of each topic and its representations across different documents.
Human genomes have been exposed to an assortment of mutational processes by contributing to unique patterns of somatic mutations. What would happen if we apply the same concept to the somatic mutations obtained from the cancer patients and look for "topics" of mutations? What would these "topics" tell us about the most important information for our health, genetic, risk factors for cancer and something more that slip under the radar?
Shiraishi et al's have proposed a topic model targeted for somatic mutations to capture the characteristics and burdens contributed by mutational processes. By closely examining the burdens, we'd like to compare them across different categories, say, for example, time, cancer subtype, ethnicity, smoking history, etc.
Then, we'd like to develop the statistical machinery to infer the difference between the mutational profiles across different categories and associate the variations with the know exposures. This tool is potentially useful for identifying novel and existing mutational processes and correlating them with risk factors in which later can be used to monitor any treatment effects in personalized medicine and targeted therapy.
Karl Weinmeister
Distributing ML workloads across multiple nodes has become common. To achieve higher and higher levels of accuracy, data scientists are using more data and more complex models than ever before.
Kubeflow is an open-source platform for model building, serving, and training. It is built on industry standard Kubernetes infrastructure and runs in multiple clouds and on-premises.
In this session, we'll discuss the problems that Kubeflow solves, and how you can use it to create reproducible ML workflows.
Damon Danieli
This talk covers the data engineering, feature extraction, and the processing for predicting future user behavior. By the end of the presentation, you should have a direction to explore if you are building your own system as well as some concrete patterns that we found worked for us.
We will use real-world examples for B2B SaaS churn prediction, but this talk is equally applicable to predicting any type of outcome that is correlated with user behavior such as conversion to a paying customer, upsell to additional products, etc.
We will present lessons learned from several iterations of productizing a system that can take product usage user telemetry events (from Mixpanel, Amplitude, Heap, homegrown, etc) and combine that with business objects (Salesforce) and the application database. We will include some mistakes we’ve made along the way.


Input - Text
This is the basic form field for any single input. It sets a few layout options by default (margin) and styles any labels within.
Markup
<input class="form-input [modifier]" type="text" placeholder="Text Input" />
Source:
source/scss/01_base/_input.scss
, line 1


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Panda3D
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Represents a network address to which UDP packets may be sent or to which a TCP socket may be bound. More...
Public Member Functions | |
| __init__ () | |
| Constructs an unspecified address. More... | |
| __init__ (const NetAddress) | |
| __init__ (const SocketAddress addr) | |
| Constructs an address from a given Socket_Address. More... | |
| clear () | |
| Resets the NetAddress to its initial state. More... | |
| const SocketAddress | getAddr () |
| Returns the Socket_Address for this address. More... | |
| int | getHash () |
| uint32_t | getIp () |
| Returns the IP address to which this address refers, as a 32-bit integer, in host byte order. More... | |
| uint8_t | getIpComponent (int n) |
| Returns the nth 8-bit component of the IP address. More... | |
| str | getIpString () |
| Returns the IP address to which this address refers, formatted as a string. More... | |
| int | getPort () |
| Returns the port number to which this address refers. More... | |
| bool | isAny () |
| Returns true if the IP address has only zeroes. More... | |
| bool | operator!= (const NetAddress other) |
| bool | operator== (const NetAddress other) |
| output (Ostream out) | |
| bool | setAny (int port) |
| Sets the address up to refer to a particular port, but not to any particular IP. More... | |
| bool | setBroadcast (int port) |
| Sets the address to the broadcast address. More... | |
| bool | setHost (str hostname, int port) |
| Sets the address up to refer to a particular port on a particular host. More... | |
| bool | setLocalhost (int port) |
| Sets the address up to refer to a particular port, on this host. More... | |
| setPort (int port) | |
| Resets the port number without otherwise changing the address. More... | |
Represents a network address to which UDP packets may be sent or to which a TCP socket may be bound.
| __init__ | ( | ) |
Constructs an unspecified address.
| __init__ | ( | const | NetAddress | ) |
| __init__ | ( | const SocketAddress | addr | ) |
Constructs an address from a given Socket_Address.
Normally, this constructor should not be used by user code; instead, create a default NetAddress and use one of the set_*() functions to set up an address.
| clear | ( | ) |
Resets the NetAddress to its initial state.
| const SocketAddress getAddr | ( | ) |
Returns the Socket_Address for this address.
| int getHash | ( | ) |
| uint32_t getIp | ( | ) |
Returns the IP address to which this address refers, as a 32-bit integer, in host byte order.
| uint8_t getIpComponent | ( | int | n | ) |
Returns the nth 8-bit component of the IP address.
An IP address has four components; component 0 is the first (leftmost), and component 3 is the last (rightmost) in the dotted number convention.
| str getIpString | ( | ) |
Returns the IP address to which this address refers, formatted as a string.
| int getPort | ( | ) |
Returns the port number to which this address refers.
| bool isAny | ( | ) |
Returns true if the IP address has only zeroes.
| bool operator!= | ( | const NetAddress | other | ) |
| bool operator== | ( | const NetAddress | other | ) |
| output | ( | Ostream | out | ) |
| bool setAny | ( | int | port | ) |
Sets the address up to refer to a particular port, but not to any particular IP.
Returns true if successful, false otherwise (currently, this only returns true).
| bool setBroadcast | ( | int | port | ) |
Sets the address to the broadcast address.
| bool setHost | ( | str | hostname, |
| int | port | ||
| ) |
Sets the address up to refer to a particular port on a particular host.
Returns true if the hostname is known, false otherwise.
| bool setLocalhost | ( | int | port | ) |
Sets the address up to refer to a particular port, on this host.
| setPort | ( | int | port | ) |
Resets the port number without otherwise changing the address.


IAO_0000233 - term tracker item
Label
term tracker item
Editor preferred label
term tracker item
Definition
An IRI or similar locator for a request or discussion of an ontology term.
Definition source
Person: Jie Zheng, Chris Stoeckert, Alan Ruttenberg
Example
the URI for an OBI Terms ticket at sourceforge, such as https://sourceforge.net/p/obi/obi-terms/772/
Term editor
Person: Jie Zheng, Chris Stoeckert, Alan Ruttenberg


Wolves fans react as Tottenham Hotspur sack Mauricio Pochettino
by Tom ProcterTottenham Hotspur have officially parted company with Mauricio Pochettino (Sky News) – and some Wolverhampton Wanderers fans have reacted to the news.
The north Londoners have controversially relieved the Argentine of his duties after a poor recent run of results.
A statement from chairman Daniel Levy read: “We were extremely reluctant to make this change and it is not a decision the board has taken lightly, nor in haste.
“Regrettably domestic results at the end of last season and beginning of this season have been extremely disappointing.”
Pochettino departs Spurs after over five years in charge after joining from Southampton in 2014.
The search now begins for a new man in charge, and many names are being bandied about on social media.
Max Allegri and Jose Mourinho appear to be the highest profile names in the conversation, but some Spurs fans are looking to up-and-coming managers such as Julian Nagelsmann.
There have also been a few mentions for Nuno Espirito Santo, who has done a terrific job at Wolves since his arrival in 2017.
Wolves fans react
News of Pochettino’s sacking obviously provoked a huge reaction on Twitter, and many Wolves fans were defiant in their stance over Espirito Santo:
Have something to tell us about this article?
Let us know


PetApi
This is the PetApi API
getPetById
Returns a pet based on ID
URL
http://petstore.swagger.wordnik.com/api/pet/{petId}
HTTP Method
GET
Response Type
Parameters
petId : long (path)
ID of pet that needs to be fetched
This is the PetApi API
Returns a pet based on ID
http://petstore.swagger.wordnik.com/api/pet/{petId}
GET
ID of pet that needs to be fetched
http://petstore.swagger.wordnik.com/api/pet/{petId}
DELETE
Pet id to delete
http://petstore.swagger.wordnik.com/api/pet/{petId}
PATCH
ID of pet that needs to be fetched
Pet object that needs to be added to the store
http://petstore.swagger.wordnik.com/api/pet/{petId}
POST
ID of pet that needs to be updated
Updated name of the pet
Updated status of the pet
http://petstore.swagger.wordnik.com/api/pet/uploadImage
POST
Additional data to pass to server
file to upload
http://petstore.swagger.wordnik.com/api/pet
POST
Pet object that needs to be added to the store
http://petstore.swagger.wordnik.com/api/pet
PUT
Pet object that needs to be updated in the store
Multiple status values can be provided with comma seperated strings
http://petstore.swagger.wordnik.com/api/pet/findByStatus
GET
Status values that need to be considered for filter
Muliple tags can be provided with comma seperated strings. Use tag1, tag2, tag3 for testing.
http://petstore.swagger.wordnik.com/api/pet/findByTags
GET
Tags to filter by


My name is Richard Lehner. I graduated from the Georgia Institute of Technology with a bachelors in Mechanical Engineering. I am currently working for NASA as a Lead Design Engineer and Design Manager for the Construction of Facilities group. I have been accepted into Georgia Tech's Online Masters of Science in Computer Science program, work on a start-up company on the side, and I am prepairing to take the PE exam (in thermal and fluid systems). I am a fast learner and work with a positive attitude.
Voted by teammates as captain for the 2015-2016 season. Led the Yellow Jacket Men's Swimming and Diving program to one of the best seasons in school history, placing 5th overall at the ACC Swimming and Diving Championships.
Inspected, installed, and rebuilt mechanical equipment for hydraulic and cryogenic systems. Understanding and improvement of maintenance software, using it to communicate solutions, create trend data, create preventative maintenance strategies, and stage correct parts.
Estimated the utility savings of prospect buildings in Metopolitan Atlanta. Extensive knowledge of refrigeration cycles and equipment in HVAC systems. Identified areas of waste energy using data analytics and communicated said data to corresponding technicians and engineers.
Currently responsible for the planning, design, and development of facilities, systems, and equipment used for aerospace research, development, and operations unique to a launch facility.


Image menu bug in Opera
Image in above form does not get an image pop-up menu using MS3.
But
is okay.
Pete Forman
2007-02-12


Tip Calculator
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Home
Dice Roller
Item Generator
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The Official Dice Roller
Enter the number of die to roll on the left and the number of sides on the right.
Then click "Roll" and your results will appear below!
Roll
d
Roll
Click a die to automatically input its number of sides.
Click the die more than once to add another of the same size.
Results


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Falls and HR
Tracking
About
Contact
The report of falls detection, temperature, and heart rate of John Doe.


CCPWGL Demos
SOF browser
Shows how to load ships using Space Object Factory and how to query its data
Planets
Shows how to load planets
Lens flares
Shows how to load suns (lens flares)
Tech III Ships
Shows how to load Tech III composite ships
Cube of death
Performance test (multiple ships)
Ship fitting
Shows how to fit turrets on the ship
Ship firing
Shows how to fire turrets
Explosions
Shows how to construct, play and remove explosions
Type IDs
Shows how to query type ID data


This is a place for me to show a few of the things I've made or am currently in the process of making. I'll be adding more pictures and descriptions as time goes on, and hopefully another category or two. Most of my hobbies represent the fun parts of jobs I've had over the years, and while I'm no longer making a living from these crafts, I do still occasionally sell things I make.


EyeC Add Phone Number:
Add a phone number below. This is the phone that the picture will be sent to.
The text field must only contain numbers.
Phone Number:


Satisfied with the results? Go ahead and :
Don't see a correctly Parsed File? Don't worry, we have you covered.


Main Developer
Niklas Broberg
Contributors
David Sands
Bart van Delft
Yannick Zakowski
Javed Nazir
Filippo Del Tedesco
The following case studies have been performed using Paragon so far:
The sealed bids auction is an example where bidders can place a bid that remains secret until the auction is over and can only flow to the other bidders if their bid is the winning bid.
Download the sealed bid auction here and run under Linux make, possibly followed by make java. Note that at this moment runtime lock querying is not correctly translated into Java files which makes it not possible to compile them.
A more detailed description can be found in this draft paper on Paragon.
A Paragon implementation of the first large program written in Jif, which was described here by Askarov and Sabelfeld. There are two versions of the Paragon implementation.
Version 1 is an almost direct translation of the original work with only a few differences (in particular having a trusted declassifier and providing static guarantees instead of Jif's seal pattern).
Version 2 uses more of the expressive power of Paragon and where the original version had the same policy for all sensitive data, more flexible policies are here depending on how the data is used. A description can be found in this draft paper on Paragon.
To compile, make sure that Paragon is installed and the runtime jar is located in the top directory of the extracted zip file (see Download Paragon). Under Windows the example can be built by executing make.bat, under Linux by running make, possibly followed by make java. The resulting Mental Poker class files can then be run calling binder.py.


| Location | Expires | Count | Value |
|---|---|---|---|
| Adelaide | 24-Jan-2015 | 8 | 5,000 |
| Brisbane | 25-Jan-2015 | 8 | 15,000 |
| Melbourne | 26-Jan-2015 | 9 | 8,000 |
| Sydney | 27-Jan-2015 | 6 | 9,000 |
This tiny (5.6KB, 200 lines, 3.2KB minified) jQuery plugin turns any table into an editable spreadsheet. It is forked from the original mindmup version and expanded to include allow date, select and formatted number editing. Any errors introduced thereby are mine, not mindmup's. Here are the key features:
When you're constructing the table, tag the  elements with a "data-edit-type" attribute. Valid values are "date", "select", "ttext", "ntext" and "vtext".
| data-edit-type | Description |
|---|---|
| date | This field uses the bootstrap-datepicker, allowing the user to select a date from the datepicker pop-up. |
| select | This one is a bit more tricky. You need to provide a data-edit-source whose value will
be used to find a global variable, that it assumes is an associative array. For instance,
the one used in this demonstration looks like this:
var locations = { 'Adelaide': 'Adelaide - South Australia', 'Brisbane': 'Brisbane - Queensland', 'Canberra': 'Canberra - Australian Capital Territory', 'Darwin': 'Darwin - Northern Territory', 'Hobart': 'Hobart - Tasmania', 'Melbourne': 'Melbourne - Victoria', 'Perth': 'Perth - Western Australia', 'Sydney': 'Sydney - New South Wales' };In this demo, the first element looks like this: Adelaide	. The key is displayed in the table, while the value is displayed in the dropdown. |
| ttext | This is a regular text field. |
| ntext | This is a numeric text field, using <input type="number">. |
| vtext | This is a value text field, designed specifically for my application. It allows the user to edit a numeric string, parsing and redisplaying with a comma as the thousands separator. It only deals with whole numbers, and the user can enter a value with or without commas. |

 Location	 Expires	 Value

 Adelaide	 24-Jan-2015	 5,000

 Brisbane	 25-Jan-2015	 15,000

 Melbourne	 26-Jan-2015	 8,000

 Sydney	 27-Jan-2015	 9,000

$('#table').editableTableWidget();
Make sure that the editor clones some specific CSS properties of the underlying cell
$('#table').editableTableWidget({ cloneProperties: ['background', 'border', 'outline'] });
Mark content as invalid during editing (for example, change one of the item names above to blank or try to enter a non-numeric cost)
$('table td').on('validate', function(evt, newValue) { if (....) { return false; // mark cell as invalid } });
Act on a change (or even reject it).
$('table td').on('change', function(evt, newValue) { // do something with the new cell value if (....) { return false; // reject change } });


Issue 18
-
cabal new-build is a package manager
An old article I occasionally see cited today is Repeat after me: “Cabal is not a Package Manager”. Many of the complaints don’t apply to cabal-install 1.24’s new Nix-style local builds.
-
hindent 5: One style to rule them all
But once the JohanTibell style in hindent was quite stable, I found that I didn’t mind using it while collaborating with people who prefer that style.
-
If you are already using the same language, I think calling an endpoint from the frontend should rather feel just like a type-safe function call. And that’s what “shareable” API definitions try to solve.
-
Retrospective: Haskell in Production
Haskell might be “the closest thing to a secret weapon” when building server-side software, writes Better co-founder Carl Baatz, summarizing their four-year journey using Haskell in production.
-
There are plenty of brand-new functions [and] several key map, set, and sequence functions have sped up considerably.
-
haskell.org and the Evil Cabal
The haskell.org committee has consistently engaged in tactics which silence the voices of all non-members, and stacks the committee to prevent dissenting opinions from joining.
-
Edward Kmett: “I’m officially resigning from the haskell.org committee effective immediately after the end of the Summer of Haskell.”


--- title: The Most Popular Names author: Lief Esbenshade date: '2019-06-14' slug: baby-names-popular categories: - baby-names tags: - side subtitle: '[A Baby Names Post](/project/baby-names/baby-names)' summary: "A look at name popularity over time" lastmod: '2019-06-14T09:36:39-07:00' featured: no image: caption: '' focal_point: '' preview_only: no projects: [] ---
First off, here are the top ten most popular names of 2017. Interestingly, a lot of classically popular names, (Mary, Jennifer, John, or Michael) aren’t on the list at all. In this post I explore some of the trends in name popularity over time.
| rank | F | M |
|---|---|---|
| 1 | Emma | Liam |
| 2 | Olivia | Noah |
| 3 | Ava | William |
| 4 | Isabella | James |
| 5 | Sophia | Logan |
| 6 | Mia | Benjamin |
| 7 | Charlotte | Mason |
| 8 | Amelia | Elijah |
| 9 | Evelyn | Oliver |
| 10 | Abigail | Jacob |
Here we see all the names that have ever been the most popular for a year, and the number of times they have held that honor. Mary was the most popular name for girls in 76 years. Our data only covers 138 years, and Mary was the most popular name for more than half of it. John and Michael are tied for most popular men’s name, having been the most popular name in 44 years each.
| Name | Sex | Years Most Popular |
|---|---|---|
| Mary | F | 76 |
| John | M | 44 |
| Michael | M | 44 |
| Robert | M | 17 |
| Jennifer | F | 15 |
| Jacob | M | 14 |
| James | M | 13 |
| Emily | F | 12 |
| Jessica | F | 9 |
| Lisa | F | 8 |
| Emma | F | 6 |
| Linda | F | 6 |
| Noah | M | 4 |
| Sophia | F | 3 |
| Ashley | F | 2 |
| Isabella | F | 2 |
| Liam | M | 2 |
| David | M | 1 |
The most popular name today is much less popular than it used to be! In the graph below we see that the most popular name in each year becomes much less popular over time. In 1880, Mary was the most popular girls name and was given to almost 8% of baby girls! But today the most popular girls name is Emma and is given to just 1.1% of girls. With a few exceptions, the most popular name for boys was a bit more popular than the most popular girls name, but it, too, has declined in popularity. The points on the graph show when the most popular name changed, we will explore those changes below.
Here we list the most popular name, the year when it changed, and what percent of babys it was given to. Mary reigned for girls from 1880 until 1946. In 1947 Linda surged in popularity and took the title. Linda’s time was short lived however, and in 1953, Mary reclaimed the title, but at a fraction of her former popularity. For Men, the 1950’s were a contentious time with James giving way to Robert in 1953, Michael claiming the crown in 1954, only losing it to David for a year in 1960.
Its interesting to note that there has been a fairly steady decrease in the popularity of the most popular name over time, but its only in the last forty years that people have really begun branching out into new names.
| Year | Name | Percent | Name | Percent |
|---|---|---|---|---|
| 1880 | John | 8.7 | Mary | 7.8 |
| 1924 | Robert | 5.4 | ||
| 1940 | James | 5.4 | ||
| 1947 | Linda | 5.6 | ||
| 1953 | Robert | 4.4 | Mary | 3.4 |
| 1954 | Michael | 4.3 | ||
| 1960 | David | 4.0 | ||
| 1961 | Michael | 4.1 | ||
| 1962 | Lisa | 2.3 | ||
| 1970 | Jennifer | 2.6 | ||
| 1985 | Jessica | 2.8 | ||
| 1991 | Ashley | 2.3 | ||
| 1993 | Jessica | 1.9 | ||
| 1996 | Emily | 1.4 | ||
| 1999 | Jacob | 1.8 | ||
| 2008 | Emma | 1.0 | ||
| 2009 | Isabella | 1.2 | ||
| 2011 | Sophia | 1.2 | ||
| 2013 | Noah | 1.0 | ||
| 2014 | Emma | 1.2 | ||
| 2017 | Liam | 1.0 |
In the plots below we see that there has recently been a massive increase in the number of different names used. Between 1880 and 1960 roughly half of baby girls were given one of fifty unique names. For boys, there was even less variety, with half of boys receiving one of just thirty names. Now there are about five times as many (250) unique names on the list that covers half of baby girls, and five times as many (150) on the list for boys. At the extreme, we can see that we’ve gone from 400 names covering 95% of baby boys and girls in 1880 to needing 7,700 girl names and 4,400 boy names to cover 95% of births today.


HyperNumerics LLC provides consulting, training, and research related to software development for scientific computing, with a focus on projects that can contribute to the Clawpack open source software community.
Team: Randall J. LeVeque and Loyce M. Adams


Web Developer
Student ID: 347704
Back-end Team Lead
Markup Languages : HTML, XML, JSON.
Scripting Languages: JavaScript, Jquery.
Languages: Node.js, Java.
Bachelor of Science (Computer Science) from University of Sindh, Pakistan.
GPA 3.76/4.00


I love being a player, and I love GM'ing. I usually end up running games because my taste is more old-school, weird, art-punk and gonzo and it seems most people only want to run D&D 5e. That game is fine, I guess... but Dungeon Crawl Classics (DCCRPG) is my jam. Also MÖRK BORG, Troika!, Lamentations of the Flame Princess and Electric Bastionland.
Keep it simple, keep it lethal and keep it weird.
Sometimes I build set pieces out of styrofoam and wood. That can really eat up a couple of weekends.
I'm a record collector and I'm a big fan of:
Punk, Dark Hardcore, Death Metal, Black Metal and Grindcore.
A little bit of Indie, Electronica, Industrial, Shoegaze and Post-Rock.
Occasionally the weirder side of Hip-Hop.
And plenty of more mainstream stuff.
I play guitar, bass, drums and modular synths. I want to be a better drummer. I want to learn to play the piano. I want to play guitar in a crust-punk\death-metal crossover band.
I want to go on a nature hike with Fenriz from Darkthrone.
I like explorer-style guitars. I like Peavey and EVH high-gain amps.
I like to watch Danny Carey play drums.
I like to watch Terrance Hobbs play guitar.
I tend to like light to medium weight Euros, but I've been known to burn a whole day on Twilight Imperium or Star Wars Rebellion.
Currently I'm really digging Inis, Cthulhu Wars, Root, Concordia and Black Angel... and I'm really looking forward to getting On Mars and Dune to the table.
My wife Mika and I forage wild mushrooms. In the past I haven't been much of an outdoors type but something about hunting and identifying fungus really clicked for me. Just finding a mushroom I've never seen before is exciting. Even better when it's food.
It's given me a much greater appreciation for just being out in the woods. Plus a lot of these things are delicious.
I mostly play indie games on Steam. A lot of Nuclear Throne, Risk of Rain 2, Binding of Isaac, FTL and Into the Breach.
I like everything Metal Gear. Bayonetta, Death Stranding, Doom, Valkyria Chronicles, Borderlands, Gears of War, Burnout Paradise and Dirt 2.
I've got a soft spot for the old 16-bit console games like Super Mario World, Super Metroid, A Link to the Past, Sonic the Hedgehog, Toejam and Earl and Kid Chameleon.
I love the 8-bit era too... the Mario games on the NES, Mega Man, Battletoads, Bubble Bobble and Legend of Zelda.
I dig the old arcade machines like (fast) Ms. Pac-Man, Donkey Kong, Galaga, Centipede, 1943, Metal Slug and Street Fighter.


In this project, we worked in a pair to create a website for a resort company
In this project, we worked in a pair to create an animal shelter website using HTML and CSS
In this project, we worked in a pair and practiced using columns to create a styled website about decorating
In this project, we worked in a pair to make and style our blogging website
My very first pair project, where we practiced making a list
My first website about my beloved pet, used simple HTML with links and lists
In this project, we worked in a pair to create a website with a list of places to visit, an options for a user to pick their own
In this project, we worked in a pair to make an exact copy of a Wikipedia website
In this project, we worked in a pair to create a website for another resort company


Welcome!
We're so glad you're here!
Fill in the required details below
First Name
Last Name
Gender
Male
Female
Email
Phone Number


9.8 Questions and Answers
Q: Akin to
doubly-linked lists, some trees maintain pointers from child
nodes back to their parents in addition to the normal pointers
from parents to their children. Some trees maintain pointers
between sibling nodes as well. Why
might we do this?
A: In general,
maintaining additional pointers gives us greater flexibility
in how we traverse a tree. For example, maintaining pointers
from a parent to its children and from a child to its parent
lets us move both up and down through a tree. Maintaining
pointers between siblings gives us an easy way to traverse
through a node's children without accessing the parent. One
benefit of linked siblings is found in B +-trees,
a type of balanced search tree in which pointers are used to
link leaf nodes together. By linking leaf nodes, we
effectively form a linked list at the bottom of the tree. This
provides an efficient means of looking up a particular key and
then retrieving others that either precede or follow it in a
sequence. Database systems do this to support efficient random
and sequential access simultaneously. Of course, the
disadvantage is some overhead and complication in managing the
sibling pointers as children are inserted and removed.
Q: Recall that
the example on expression processing used a linked list to
return the appropriate ordering of the nodes to the caller.
This example illustrates two data structures pointing to the
same data. What precautions would we need to take in
destroying each instance of these datatypes?
A: All of the data structures
presented in this book follow the convention that only a
pointer is maintained to the data inserted into the data
structure. Therefore, it is the responsibility of the caller
to manage the storage associated with the data itself. In the
case of a binary tree and a linked list pointing to the same
physical data in memory, it is important that we pass a
function to free the data only to one of the initialization
operations. The other operation must set
destroy to NULL. Of course, this approach
assumes that the data being shared was dynamically allocated
in the first place. If the data structures point to data that
was not dynamically allocated, destroy should
be set to NULL in both initialization operations since there
is nothing to free.
Q: In bitree_rem_left and bitree_rem_right, why was a postorder
traversal used to remove the appropriate subtree? Could a preorder or
inorder traversal have been used instead?
A: It is essential to use a postorder
traversal here because a subtree must be removed in its
entirety before removing its parent. A preorder traversal ends
up removing the parent first, thus freeing the parent and
making it impossible to access its children. An inorder
traversal also does not work because we still end up removing
the parent before its right subtree.
Q: How do we find the smallest node
in a binary search tree? What is the runtime complexity to do
this in both an unbalanced and balanced binary search tree, in
the worst case? How do we find the largest node in a binary
search tree? What are the runtime complexities for this?
A: The
smallest node in a binary search tree is the node that is the
furthest to the left. To locate this node, we descend through
the tree by following left pointers until reaching the end of
the branch. In an unbalanced binary search tree, this requires
O (n) time in the worst case, where
n is the number of nodes in the
tree. This occurs when the tree consists of a single branch to
the left, for example. However, if we keep the tree balanced,
no branch will be longer than lg n nodes. Thus, the runtime complexity
of searching for the smallest node in this case is O (lg n). Finding the largest node is a
similar process, except that the largest node is the one that
is the furthest to the right in the tree. The runtime
complexities for this are the same as for locating the
smallest node. If we are interested only in determining the
smallest (or largest) element in a set of data repeatedly, we
use a priority queue (see Chapter
10).
Q: When
might we choose to make use of a tree with a relatively large
branching factor, instead of a binary tree, for example?
A: Larger
branching factors keep a tree shorter for a given number of
nodes, provided the tree remains relatively balanced.
Therefore, a large branching factor is desirable when an
application is particularly sensitive to the height of the
tree. Search trees are a good example, although typically the
difference in performance attributed to larger branching
factors is not that significant when the tree resides in
memory. This is one reason that binary trees are most common
for searching in memory. However, when searching in the
considerably slower world of secondary storage, a larger
branching factor can make a substantial difference. In this
situation, typically some type of B-tree is used (see the related topics
at the end of the chapter).
Q: In a binary search tree, the
successor of some node x is the
next largest node after x. For
example, in a binary search tree containing the keys 24, 39,
41, 55, 87, 92, the successor of 41 is 55. How do we find the
successor of a node in a binary search tree? What is the
runtime complexity of this operation?
A: To
determine the successor of some node x in a binary search tree, first we
locate x. Next, we follow its
right pointer, and then from this node, follow as many left
pointers as possible until the end of the branch is reached.
The node at the end of this branch is the successor of x. The runtime complexity of locating
either x or its successor is
O (lg n).
Q: In a binary search tree, recall
that to insert a node, we trace a specific path to determine
the proper point at which to actually insert it. As more and
more nodes are inserted into a tree, certain areas within the
tree become restricted to certain values. Ultimately, this is
why a tree falls out of balance and rotations are performed.
In the binary search tree of Figure
9.14, what are the possible values for a node inserted at
x?
A: In Figure
9.14, any node we insert at x must contain a value greater than
44 and less than 49 because any node to the left of 49 must be
less than 49. On the other hand, the only way for a node to
end up in the right subtree of 44 is to be greater than
44.
|


{% extends "layout.html" %} {% block title %} 404 {% endblock %} {% block header %} {{ super() }} {% include 'includes/bottom-header.html'%} {% endblock %} {% block main %}
The page you are looking for does not exist. Back to Homepage!


BEFORE this session, for each of the following videos or reading:
This problem is for in-class. Do NOT do this problem as part of your preparation.
This video on nested loops in PRINTING [7:11 minutes] is for the “live coding” that your instructor may do with you IN CLASS. (Sorry about the poor quality of the video.) It will be most useful to you if you:


java.util.Set
objects whose content types are enumerated classes. Such Set
objects
can be replaced by java.util.EnumSet
objects. EnumSet
implementations can be much more efficient compared to
other sets, as the underlying data structure is a bit vector.
Example:
enum MyEnum { FOO, BAR; } HashSet<MyEnum> enums = new HashSet<MyEnum>();


Type-specific growable array collection classes. The classes in this
package are basically equivalent to type-specific versions of the
standard java.util.Vector
or newer
java.util.ArrayList
class. They support a few added
methods (including direct conversion to a typed array with
toArray()
) and some minor interface differences. The standard
public access methods in these classes are as follows:
| Method Signature | From |
int add(type) | implementation class |
void add(int, type) | implementation class |
void clear() | {@link com.sosnoski.util.array.ArrayBase} |
Object clone() | implementation class |
void ensureCapacity(int) | {@link com.sosnoski.util.GrowableBase} |
type get(int) | implementation class |
void remove(int) | {@link com.sosnoski.util.array.ArrayBase} |
void remove(int, int) | {@link com.sosnoski.util.array.ArrayBase} |
void set(int, type) | implementation class |
void setSize(int) | {@link com.sosnoski.util.array.ArrayBase} |
int size() | {@link com.sosnoski.util.array.ArrayBase} |
type[] toArray() | implementation class |
type[] toArray(int, int) | implementation class |
The {@link com.sosnoski.util.array.ObjectArray} class also provides a pair of toArray
methods which allow the base element type of the array to be specified as
something other than Object
.
As with ArrayList
, the access methods are
unsynchronized for best performance. The user program must implement
appropriate locking if multiple threads need to access an
instance of these classes while that instance may be modified.
Collections of a primitive type and of a specific object type
are both supported. All variations derive directly from the
ArrayBase
base class. To define a growable array of a
new type, generally you can use one of the existing classes as a base
and do a text substitution of the type names.
For instance, to define a growable array of instances of
Thread
just copy StringArray.java
to a new file named ThreadArray.java
, then do a global
text substitution of "Thread" for "String" in the new file.
Primitive types are only slightly more complicated. byte
and
char
versions are included, and short
can be done
using one of these as a base and just substituting the type name. The other primitive
types, which are not promoted to int
in
expressions, can use the implementation for double
as a base.


Toggle navigation
Wärmerkataster
Simulation
Homepage
Hamburg high-level view
Show the selected object in External Maps
Google StreetView
OpenStreetMap
BingMaps ObliqueView
DualMaps


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|
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pingouin.cochran¶
-
pingouin.
cochran
(data=None, dv=None, within=None, subject=None)¶ Cochran Q test. A special case of the Friedman test when the dependent variable is binary.
- Parameters
- data
pandas.DataFrame
DataFrame. Both wide and long-format dataframe are supported for this test.
- dvstring
Name of column containing the dependent variable (only required if
data
is in long format).- withinstring
Name of column containing the within-subject factor (only required if
data
is in long format). Two or more within-factor are not currently supported.- subjectstring
Name of column containing the subject/rater identifier (only required if
data
is in long format).
- data
- Returns
- stats
pandas.DataFrame
'Q'
: The Cochran Q statistic'p-unc'
: Uncorrected p-value'dof'
: degrees of freedom
- stats
Notes
The Cochran Q test [1] is a non-parametric test for ANOVA with repeated measures where the dependent variable is binary.
The Q statistics is defined as:
\[Q = \frac{(r-1)(r\sum_j^rx_j^2-N^2)}{rN-\sum_i^nx_i^2}\]where \(N\) is the total sum of all observations, \(j=1,...,r\) where \(r\) is the number of repeated measures, \(i=1,...,n\) where \(n\) is the number of observations per condition.
The p-value is then approximated using a chi-square distribution with \(r-1\) degrees of freedom:
\[Q \sim \chi^2(r-1)\]Data are expected to be in long-format. Missing values are automatically removed using a strict listwise approach (= complete-case analysis). In other words, any subject with one or more missing value(s) is completely removed from the dataframe prior to running the test.
References
- 1
Cochran, W.G., 1950. The comparison of percentages in matched samples. Biometrika 37, 256–266. https://doi.org/10.1093/biomet/37.3-4.256
Examples
Compute the Cochran Q test for repeated measurements.
>>> from pingouin import cochran, read_dataset >>> df = read_dataset('cochran') >>> cochran(data=df, dv='Energetic', within='Time', subject='Subject') Source dof Q p-unc cochran Time 2 6.705882 0.034981
Same but using a wide-format dataframe
>>> df_wide = df.pivot_table(index="Subject", columns="Time", values="Energetic") >>> cochran(df_wide) Source dof Q p-unc cochran Within 2 6.705882 0.034981


--- layout: post title: How can I set environment variables for GUI apps in OS X Mavericks? date: 2014-08-08 14:51:24.000000000 +01:00 type: post published: true status: publish categories: [] tags: [] meta: _edit_last: '1' _syntaxhighlighter_encoded: '1' _wpas_done_all: '1' tmac_last_id: '618797297200029696' author: David Simpson excerpt_separator: ---
Adapted from a SuperUser answer:
/etc/launchd.conf
does not exist by default, but it does still work in 10.9.
- Run for example
sudo nano /etc/launchd.conf
.- Add a line like
setenv M2_HOME /opt/boxen/homebrew/Cellar/atlassian-plugin-sdk/5.0.0/libexec/apache-maven-3.2.1/
- Run
and relaunch processes.launchctl < /etc/launchd.conf
sudo launchctl < /etc/launchd.conf


| [ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |
gauche.record
- レコード型This module provides a facility to define record types, user-defined aggregate types. The API is upper compatible to SRFI-9 (Defining Record Types) and SRFI-99 (ERR5RS Records).
Record types are implemented as Gauche’s classes, but have different characteristics from the general classes. See section はじめに, for when you want to use record types.
The record API consists of three layers, following SRFI-99 and R6RS design.
The syntactic layer is the define-record-type
macro
that conveniently defines a record type and related procedures
(a constructor, a predictate, accessors and modifiers) all at once
declaratively. Knowing this macro alone is sufficient for
most common usage of records.
The inspection layer defines common procedures to query information to the records and record types.
The procedural layer is a low-level machinery to implement the syntactic layer; you don’t usually need to use them in day-to-day programming, but they might be handy to create record types on-the-fly at runtime.
| 9.22.1 はじめに | ||
| 9.22.2 Syntactic Layer | ||
| 9.22.3 Inspection layer | ||
| 9.22.4 Procedural layer | ||
| 9.22.5 Pseudo record types |
| [ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |
Gauche provides a general way for users to define new types as new classes, using object system (See section オブジェクトシステム), and indeed record types are implemented as Gauche’s classes. However, using record types instead of classes has several advantages.
:type
option of defstruct
).
This helps flexibility of interface. For example, you can ask
your library’s users to pass a point in a vector of three numbers,
instead of asking users to pack their point data into your
custom point record type. Yet inside your library you can
treat the passed data as if it is your point record type.
See Pseudo record types, for more details.
The disadvantage of record types is that they don’t obey Gauche’s class redefinition protocol (See section クラスの再定義). That is, if you redefine a record with the same name, it creates a new record type unrelated to the old one. The record instances created from the old definition won’t be updated according to the new definition.
More importantly, record constructors, accessors and modifiers are tend to be inlined where they are used, to achieve better performance. Since they are inlined, the code that uses those procedures are not affected when the record type is redefined. This means if you redefine a record type, you have to reload (recompile) the sources that uses any of record constructors, accessors or modifiers.
| [ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |
[SRFI-9][SRFI-99+] Defines a record type, and optionally defines a constructor, a predicate, and field accessors and modifiers.
The type-spec argument names the record type, and optionally specifies the supertype (parent).
type-spec : type-name | (type-name parent) type-name : identifier parent : expression |
The type-name identifier will be bound to a
record type descriptor, or rtd,
which can be used for introspection and reflection.
See Inspection layer and Procedural layer
for possible operations for record types.
In Gauche, a record type descriptor is a <class>
with a metaclass
<record-meta>
.
The parent expression should evaluate to a record type descriptor.
If given, the defined record type inherits it; that is, all the
slots defined in the parent type are available to the type-name
as well, and the instance of type-name answers #t
to the
predicate of the parent type.
Since a record type is also a class, parent type is also a superclass of the defined record type. However, record types are limited to have single inheritance.
You can give a pseudo record base type as parent to define a pseudo record type, which allows you to access ordinary aggregates like vectors as records. See Pseudo record types for more details.
The ctor-spec defines the constructor of the record instance.
ctor-spec : #f | #t | ctor-name | (ctor-name field-name …) ctor-name : identifier field-name : identifier |
If it is #f
, no constructor is created.
If it is #t
, a default constructor is created with a name
make-type-name
. If it is a single identifier
ctor-name, a default constructor is created with the name.
The default constructor takes as many arguments as
the number of fields of the record, including inherited ones if any.
When called, it allocates an instance of the record, and initialize its
fields with the given arguments in the order (inhertied fields comes
first), and returns the record.
The last variation of ctor-spec creates a custom constructor with the name ctor-name. The custom constructor takes as many arguments as the given field-names, and initializes the named fields. If the inherited record type has a field of the same name as the ancestor record type, only the inherited ones are initialized. In Gauche, uninitialized fields remains unbound until some value is set to it.
The pred-spec defines the predicate of the record instance,
which takes one argument and returns #t
iff it is an instance
of the defined record type or its descendants.
pred-spec : #f | #t | pred-name
pred-name : identifier
|
If it is #f
, no predicate is created.
If it is #t
, a predicate is created with a name
type-name?
. If it is a single identifier,
a predicate is created with the given name.
The rest of the arguments specify fields (slots) of the record.
field-spec : field-name ; immutable, with default accessor | (field-name) ; mutable, with default accessor/modifier | (field-name accessor-name); immutable | (field-name accessor-name modifier-name); mutable field-name : identifier accessor-name : identifier modifier-name : identifier |
The first and the third forms define immutable fields, which can only be intialized by the constructor but cannot be modified afterwards (thus such fields don’t have modifiers). The second and the fourth forms define multable fields.
The third and fourth forms explicitly name the accessor and modifier.
With the first and second forms, on the other hand,
the accessor is named as
type-name-field-name
, and the modifier is named
as type-name-field-name-set!
.
Let’s see some examples. Here’s a definition of a record
type point
.
(define-record-type point #t #t x y z) |
The variable point
is bound to a record type descriptor,
which is just a class. But you can take its class and see it is
indeed an instance of <record-meta>
metaclass.
point ⇒ #<class point> (class-of point) ⇒ #<class <record-meta>> |
You can create an instance of point
by the default
constructor make-point
. The predicate is given the
default name point?
, and you can access the fields
of the created record by point-x
etc.
(define p (make-point 1 2 3)) (point? p) ⇒ #t (point-x p) ⇒ 1 (point-y p) ⇒ 2 (point-z p) ⇒ 3 |
Since we defined all fields immutable, we cannot modify
the instance p
.
Here’s a mutable version of point, mpoint
.
You can modify its fields by modifier procedures and
generalized set!
.
(define-record-type mpoint #t #t
(x) (y) (z))
(define p2 (make-mpoint 1 2 3)) ; create an instance
(mpoint-x p2) ⇒ 1
(mpoint-x-set! p2 4) ; default modifier
(mpoint-x p2) ⇒ 4
(set! (mpoint-x p2) 6) ; generalized |
Next one is an example of inheritance. Note that the default constructor takes arguments for fields of the parent record as well.
(define-record-type (qpoint mpoint) #t #t (w)) (define p3 (make-qpoint 1 2 3 4)) (qpoint? p3) ⇒ #t ; p3 is a qpoint (mpoint? p3) ⇒ #t ; ... and also an mpoint (mpoint-x p3) ⇒ 1 ; accessing inherited field (mpoint-y p3) ⇒ 2 (mpoint-z p3) ⇒ 3 (qpoint-w p3) ⇒ 4 |
A small caveat: Accessors and modifiers for inherited fields
(e.g. qpoint-x
etc.) are not created.
Gauche’s convention is to enclose class name by <>
.
You can follow the convention and still explicitly gives
simpler names (instead of make-<point>
or <point>-x
):
(define-record-type <point> make-point point? (x point-x) (y point-y) (z point-z)) |
| [ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |
This layer provides common procedures that operates on record type descriptors and record instances.
Note that a record type descriptor is a class in Gauche, so
you can also use operators on classes (e.g. class-name
,
class-slots
etc.) on record type descriptors as well.
However, these procedures are more portable.
[SRFI-99][R6RS]
Returns #t
iff obj is an instance of record type,
#f
otherwise.
[SRFI-99][R6RS] Returns the record type descriptor of the record instance.
[SRFI-99] Returns the name of the record type descriptor rtd.
[SRFI-99]
Returns the parent type of the record type descriptor rtd.
If rtd doesn’t have a parent, #f
is returned.
[SRFI-99] Returns a vector of symbols, each of which is the names of the direct fields of the record represented by rtd. The result doesn’t include inherited fields.
[SRFI-99] Returns a vector of symbols, each of which is the names of the fields of the record represented by rtd. The result includes all inherited fields.
[SRFI-99]
Returns #t
iff the field with the name field-name
of a record represened by rtd is mutable.
| [ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |
These procedures are low-level machinery on top of which
define-record-type
is implemented. They can be used
to create a new record type at runtime.
[SRFI-99]
Creates and returns a new record type descriptor with name name and
having fields specified by field-specs. If parent
is given, it must be a record type descriptor or #f
.
If it is a record type descriptor, the created record type
inherits from it.
The field-specs argument must be a vector, each
element of which is a field specifier. A field
specifier can be a symbol, a list (mutable symbol)
,
or a list (immutable symbol)
. The symbol names
the field. A single symbol or (mutable symbol)
format
makes the field mutable, and (immutable symbol)
format
makes the field immutable.
Note: Gauche does not implement the extension suggested in
SRFI-99 yet, which is sealed
, opaque
and uid
arguments.
[SRFI-99]
Returns #t
if obj is a record type descriptor,
#f
otherwise.
[SRFI-99] Returns a procedure that creates an instance record of the record type represented by rtd. Without field-specs, it returns the default constructor, which takes as many arguments as the number of fields of the record to initialize them.
You can give a vector of symbols as field-specs. The n-th symbol specifies which field of the instance should be initialized by the n-th argument. The field-specs vector cannot contain duplicate names. If the record type defines a field with the same name as the one in the parent record type, the custom constructor can only initialize the field of the derived type’s instance.
[SRFI-99] Returns a predicate to test an object is an instance of rtd.
If rtd is a pseudo record type, the predicate merely tests the given object is in an appropriate type and has enough size to hold the contents. See Pseudo record types for the details.
[SRFI-99] Returns a procedure that takes one argument, an instance of rtd, and returns the value of the field-name of the instance.
An error is signalled if the record type doesn’t have the field of name field-name.
If rtd is inherits other record types, and it defines a field of the same name as inherited ones, then the accessor returned by this procedure retrieves the value of the field of the derived record.
[SRFI-99] Returns a procedure that takes two arguments, an instance of rtd and a value, and sets the latter as the value of the field-name of the instance.
An error is signalled if the record type doesn’t have the field of name field-name, or the named field is immutable.
Like rtd-accessor
, if the record has a field with the same
name as inherited one, the modifier returned by this procedure
only modifies the field of the derived record.
| [ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] | [Top] | [Contents] | [Index] | [ ? ] |
A pseudo record type is a record type that does not create an instance. Instead it treats an object of other collection types, such as a vector, as if it had named fields. It’s easier to understand by an example:
(define-record-type (vpoint (pseudo-rtd <vector>)) #t #t (x) (y) (z)) (make-vpoint 1 2 3) ⇒ #(1 2 3) (vpoint-x #(1 2 3)) ⇒ 1 (rlet1 v (make-vpoint 1 2 3) (set! (vpoint-y v) -1)) ⇒ #(1 -1 3) |
To create a pseudo record type, specify another pseudo
record type as a parent. The procedure pseudo-rtd
can be used to obtain a base pseudo record type of
the suitable instance class.
Returns a pseudo rtd suitable to use instance-class as a pseudo record.
| [ < ] | [ > ] | [ << ] | [ Up ] | [ >> ] |
This document was generated by Shiro Kawai on May 28, 2012 using texi2html 1.82.


Details of "{{ room.number }}" room
{#reserved by {{ room.owner.get }}
#}
{#user {{ request.user }}
#}
{% if room.is_reserved %}
{% ifequal room.owner.get request.user %}
[Delete a reservation]
Reserved
{% else %}
Reserved
{% endifequal %}
{# owner: {{ room.owner.get }}
#}
{% else %}
Free
[Make a reservation]
{% endif %}
{{ room.hotel }}
Status: {{ room.status }}
Type: {{ room.room_type }}
Capacity: {{ room.capacity }}
price: {{ room.price }}
Reviews:
{% for review in reviews %}
User - {{ review.user }}
Stay from {{ review.start_date }} to {{ review.end_date }}
{{ review.text }}
Rating - {{ review.rating_list }}
Created - {{ review.created }}
{% endfor %}
{% if user.is_active %}
{% else %}
You need to be logged in to leave a review
{% endif %}
Get back


Njoroge G. Edward
Cell: +254 700 187 754Mail<EMAIL_ADDRESS>Leave a Message
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--- title: Releases layout: default ---
Page deprecated in favour of the Builds: Tagged Releases section of the official Ember.js website.
Read about the Ember.js Release Process on the official blog.


Portfolio
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Get in Touch
Let’s connect and see how we could work together!
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Sola, the northermost port of entry is situated on nearby Vanua Lava.
This anchorage is well protected by fringing reefs.
Last updated October 2009.
The Losalava community welcomes cruisers. Chief Edgel even organises a welcome for every yacht arrival: a great way to meet everyone here!


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We need a message here about what this form can be used for ie:
Mainly though, we need to have this column so the form doesn’t go so wide.


(Taken from the UC Berkeley Course Guide)
Introduction to the theory and practice of methods used in the organic chemistry laboratory. An emphasis is placed on the separation and purification of organic compounds. Techniques covered will include extraction, distillation, sublimation, recrystalization, and chromatography. Detailed discussions and applications of infrared and nuclear magnetic resonance spectroscopy will be included.
CHEM 1A and CHEM 1AL with min grades of C-; or CHEM 4A with min grade of C-; or AP CHEM with min score of 4; or CHEM HL IB with min score of 5; or GCE A-Level CHEM with min grade of C. Corequisite: CHEM 3A with min grade of C- or coenrollment in CHEM 3A
1 hour of lecture and 4 hours of laboratory per week.


Sweetened beverages don’t provide much satiety, meaning they don’t make you feel full after eating. Think about it for a minute. Sipping on a soda for 150 calories (and not to mention, over 40 grams of sugar in one stop) does not necessarily make you feel full.
Eat plenty of nuts
Nuts are rich in heart-healthy polyunsaturated fats and monounsaturated fats, which lower LDL or "bad" cholesterol; plus, they are a good source of phytosterols, compounds that help lower blood cholesterol. They are packed with fiber, protein, vitamins and minerals, including folate, vitamin E, potassium and magnesium.
Avoid junk food at all costs
Eating junk food on a regular basis can lead to an increased risk of obesity and chronic diseases like cardiovascular disease, type 2 diabetes, non-alcoholic fatty liver disease and some cancers.
Start excercising more
Regular physical activity can improve your muscle strength and boost your endurance. Exercise delivers oxygen and nutrients to your tissues and helps your cardiovascular system work more efficiently. And when your heart and lung health improve, you have more energy to tackle daily chores.
Drink a lot of water
Water consumption helps your body flush out waste through sweat and urination. This also prevents kidney stones and protects you from urinary tract infections. Your body is able to naturally detoxify through the use of its lungs, liver, and kidneys.
Get plenty of sleep
Throughout the night, your heart rate, breathing rate and blood pressure rise and fall, a process that may be important for cardiovascular health. Your body releases hormones during sleep that help repair cells and control the body's use of energy. These hormone changes can affect your body weight.


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Latest news >
latest funding rounds
categories
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Latest
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Hard Fork >
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Graphic design apps are now as fundamental as Excel — here's how non-designers get up to speed- 84K Robinhood traders at risk of 'bagholding' after Kanye threatens GAP
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Graphic design apps are now as fundamental as Excel — here's how non-designers get up to speed’- 84K Robinhood traders at risk of 'bagholding' after Kanye threatens GAP
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Hard Fork >
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Graphic design apps are now as fundamental as Excel — here's how non-designers get up to speed’- 84K Robinhood traders at risk of 'bagholding' after Kanye threatens GAP
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Hard Fork >
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Graphic design apps are now as fundamental as Excel — here's how non-designers get up to speed’- 84K Robinhood traders at risk of 'bagholding' after Kanye threatens GAP
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{%extends 'base.html'%} {%load staticfiles%} {%block body%}
A child's curiosity is creatively guided to set their mind ticking allowing them to explore the big wide world around them.
The exploration when associated with appropriate audio – visual stimuli and action–reaction exercises allows them to satisfy their inquisitiveness and reach their individual “ah” moments. These moments in turn become valuable lessons.
The child applies the knowledge to emerge with new ideas which when implemented helps build their self esteem. It also provides insight on their skills, talents and interests thus building their personality


Class: Aws::WAF::Types::HTTPRequest
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | (unknown) |
Overview
The response from a GetSampledRequests request includes an HTTPRequest
complex type that appears as Request
in the response syntax. HTTPRequest
contains information about one of the web requests that were returned by GetSampledRequests
.
Returned by:
Instance Attribute Summary
-
#client_ip ⇒ String
rw
The IP address that the request originated from.
-
#country ⇒ String
rw
The two-letter country code for the country that the request originated from.
-
#headers ⇒ Array<Types::HTTPHeader>
rw
A complex type that contains two values for each header in the sampled web request: the name of the header and the value of the header.
. -
#http_version ⇒ String
rw
The HTTP version specified in the sampled web request, for example,
.HTTP/1.1
. -
#method ⇒ String
rw
The HTTP method specified in the sampled web request.
-
#uri ⇒ String
rw
The part of a web request that identifies the resource, for example,
./images/daily-ad.jpg
.
Instance Attribute Details
#client_ip ⇒ String
(rw)
The IP address that the request originated from. If the WebACL
is associated with a CloudFront distribution, this is the value of one of the following fields in CloudFront access logs:
-
c-ip
, if the viewer did not use an HTTP proxy or a load balancer to send the request -
x-forwarded-for
, if the viewer did use an HTTP proxy or a load balancer to send the request
#country ⇒ String
(rw)
The two-letter country code for the country that the request originated from. For a current list of country codes, see the Wikipedia entry ISO 3166-1 alpha-2.
#headers ⇒ Array
<Types::HTTPHeader> (rw)
A complex type that contains two values for each header in the sampled web request: the name of the header and the value of the header.
#http_version ⇒ String
(rw)
The HTTP version specified in the sampled web request, for example, HTTP/1.1
.
#method ⇒ String
(rw)
The HTTP method specified in the sampled web request. CloudFront supports the following methods: DELETE
, GET
, HEAD
, OPTIONS
, PATCH
, POST
, and PUT
.
#uri ⇒ String
(rw)
The part of a web request that identifies the resource, for example, /images/daily-ad.jpg
.


CIRCLE OF FRIENDS A film review by Ben Hoffman Copyright 1995 Ben Hoffman
Chris O'Donnell, the male lead in the film, is handsome, young (24), and at the top of my list for a long and fruitful career as an actor. Remember him in SCENT OF A WOMAN where he played opposite Al Pacino, winning a Golden Globe nomination for Best Supporting Actor and the Chicago Film Critics award for The Most Promising Actor of the Year? His charisma hits you instantly. In CIRCLE OF FRIENDS he plays Jack Foley, the star of the rugby team at the college he attends in Dublin. (O'Donnell, by the way, is the only American in the film.)
There are friends and there are friends and not always do they do the expected. In 1957, Benny (Minnie Driver) and her friend Eve (Geraldine O'Rawe) leave their small town of Knockglen to attend college in Dublin where they run into another friend, Nan (Saffron Burrows). While Nan is a blonde beauty and Eve is a beautiful brunette, Bennie is the "plain Jane." It ia interesting to note that Driver, who plays Benny is a beautiful TV star in the UK who had to put on thirty pounds to give her a somewhat dowdy look.
The story, written by best-selling author Maeve Binchy, is of the goals, the hopes and dreams of the three small-town women who are now on their own and of Jack who sees in Benny the goodness and inner charm that more superficial men had failed to notice.
Conflict and deceit intrude among the friends in the circle; nothing in real life goes smoothly forever. Director Pat O'Connor superbly brings all of that to life in this very lovely film.
3.5 Bytes
4 bytes Absolutely must see 3 bytes Too good to be missed 2 bytes So so 1 byte Save your money
Ben Hoffman
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


should not overwrite an example
expected: "foobar"got: "foo"
50 it "should be successful" do 51<EMAIL_ADDRESS>52 response.should be_success 53 end


At ML Strength, we understand that staying fit and healthy is not just a trend, but a way of life. That's why we offer a range of fitness programs, equipment and nutrition options to help you reach your goals. Our team of experienced and certified trainers are always on hand to provide expert guidance and support, and we pride ourselves on delivering exceptional customer service to all our members.
We believe that communication is key to success, which is why we are here on our website. If you have any questions, concerns or feedback about our products or services, please don't hesitate to reach out to us via our contact form. Our friendly team is always ready to assist you in any way possible, and we value your feedback as it helps us to continually improve our offerings and better serve our customers.
Thank you for choosing ML Strength as your partner in health and fitness. We look forward to helping you achieve your goals and living your best life!
We are a Brisbane based company with clubs at Ashgrove, Brisbane City, Chermside, Graceville and Westlake.
We would love to hear from you! If you have any questions or would like to know more about our classes or services, please don't hesitate to contact us at ML strength. Our team of experienced professionals is always here to help you with your fitness needs.
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RTW :: Games
Research Project at Federal University of São Carlos
Second Game
{{ game }}
{{ _id }}
{{ themes }}
{{ data }}
Guess the theme of the round!
Next guess
|
Hints |
Previous entries |


This project was created in October 2018. Before that, there was a project named [OpenQueerMap](https://wiki.openstreetmap.org/wiki/OpenQueerMap) but the project is down, as of early 2018. This work is partly based but highly inspired to OpenLoveMap, whose aim is to display sex-related content from OpenStreetMap.
The map is built upon Leaflet and rendered with Mapbox tiles.
The shown data are taken from OpenStreetMap project. In particular, search data are taken with OpenStreetMap's Nominatim and POI data are taken with Overpass.
As of October 2018, the following data are displayed:


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/equation.20compiler.20surprisingly.20liberal.html ---
inductive mytype | T : mytype | F : mytype namespace mytype def f : mytype → ℕ | T := 34 | cake := 19
If I asked you to guess whether the definition of f
compiled, what would you say?
#eval f T -- 34 #eval f F -- 19
Works fine.
How about #eval f cake
?
I'm not sure why you would expect a different result. T
is a constructor pattern, while cake
is an (irrefutable) variable pattern.
Lean let's you have your cake and eat it too
At least until it supports linear cake types
Lean: dependent cakes all the way down
I'm not sure why you would expect a different result.
T
is a constructor pattern, whilecake
is an (irrefutable) variable pattern.
penny drops
Yeah, sorry, I get it now. Expected behaviour :D
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


The Club of Programmers(COPS), IIT BHU is back again with a bang. We
are going to organize a COPS Week, especially for Freshers from
February 5 to February 12, where we will hold events for Competitive
Programming, Machine Learning, Development, and Infosec. Prizes worth
1000 INR to top three performers in each event and get a chance to get
into COPS.
For regular updates on COPS Week join our official
Google Group. Also, for discussion, announcements, resources for all the COPS
events freshers can join our discord server. You can get an invite
to the server through
this portal.
Description about different events are as follows:


A tiny Research Scientist and Engineering Manager
at ByteDance
May 2023-Present
Senior Staff-level Research Scientist and Engineering Manager
Worked at AI
intrastructure, Tensorflow, PyTorch, MLIR, OpenXLA, NPU ASICs
ByteDance AML
Jun 2021-May 2023
Staff-level Research Scientist
Worked at AI
intrastructure, libraries, PyTorch, MLIR, XLA, NPU ASICs
ByteDance AML
Sept 2018-Jun 2021
Senior Software Engineer
Worked at AI
intrastructure, libraries, PyTorch, ONNX, NPUs
Microsoft Cloud & AI
July 2017-Aug 2018
Software Engineer
Worked at AI intrastructure,
libraries and ONNX
Microsoft AI & Research
Fall 2009-Summer 2017
Research Assistant
Researched in high-performance
computing and compiler optimizations
IMPACT Lab., UIUC
Summer 2012
Intern
Developed real-time image inpainting for
Tegra 3
NVIDIA
Feb. 2008-July 2009
Research Assistant and Engineer
Developed a novel
high-frequency (50MHz) real-time ultrasonic imaging system, using FPGAs and GPGPU. The
system became a commercial product of a startup.
Ultrasonic Imaging Lab., NTU
Jul. 2017
Ph.D. in Electrical and Computer Engineering (ECE)
Under Dr. Wen-mei Hwu's supervision.
University of Illinois at Urbana-Champaign (UIUC), IL
Aug. 2014
Master in ECE
Under Dr. Wen-mei Hwu's
supervision.
University of Illinois at Urbana-Champaign (UIUC), IL
Jun. 2007
BS in Electrical Engineering (EE), with a Minor degree in Mathematics
National Taiwan University (NTU), Taipei, Taiwan
Aug. 2006-May 2007
Visiting student in ECE
UIUC
2012-2013
Dan Vivoli Endowed Fellowship
ECE, UIUC
2009-2011
Integrative Graduate Education and Research Traineeship (IGERT): Neuroengineering
NSF, USA
2006-2007
Taiwan Merit Scholarship
Taiwan
2005
Undergraduate Student Research Fellowship
National Science Council, Taiwan
2005
Pan Wen-Yuan Scholarship
Pan Wen-Yuan Foundation, Taiwan
3 times
Presidential Awards
NTU, Taiwan
2001
Gold medal in Asian Pacific Mathematics Olympiad (APMO)


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rvinecopulib: High Performance Algorithms for Vine Copula Modeling
Provides an interface to 'vinecopulib', a C++ library for vine
copula modeling based on 'Boost' and 'Eigen'. The 'rvinecopulib'
package implements the core features of the popular 'VineCopula' package, in
particular inference algorithms for both vine copula and bivariate copula
models. Advantages over 'VineCopula' are a sleeker and more modern API,
improved performances, especially in high dimensions, nonparametric and
multi-parameter families. The 'rvinecopulib' package includes 'vinecopulib' as
header-only C++ library (currently version 0.3.0). Thus
users do not need to install 'vinecopulib' itself in order to use
'rvinecopulib'. Since their initial releases, 'vinecopulib' is licensed under
the MIT License, and 'rvinecopulib' is licensed under the GNU GPL version 3.
| Version: |
<IP_ADDRESS>.1 |
| Imports: |
assertthat, cctools, graphics, grDevices, kde1d, lattice, Rcpp (≥ 0.12.12), stats, utils |
| LinkingTo: |
BH, Rcpp, RcppEigen, RcppThread, wdm |
| Suggests: |
igraph, ggplot2, ggraph, testthat |
| Published: |
2018-08-22 |
| Author: |
Thomas Nagler [aut, cre],
Thibault Vatter [aut] |
| Maintainer: |
Thomas Nagler <info at vinecopulib.org> |
| BugReports: |
https://github.com/vinecopulib/rvinecopulib/issues |
| License: |
GPL-3 | file LICENSE |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
README NEWS |
| CRAN checks: |
rvinecopulib results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rvinecopulib
to link to this page.


The role of social media and the effect on consumer behavior is an emerging field of study. Apps, such as Instagram, expose individuals to new areas with ease, providing location data via hashtags, geolocation markers and visual indicators. The information is instantaneous and can provide current climate, air and park quality, along with many different photos capturing the natural beauty. The rise in visitation in parks in the United States coincides with the proliferation of social media. I intend to examine if social media content can explain the shift in demand.
Newspapers and park managers have placed the blame on one major social media platform.
When we examine the trend in popularity given different social media platforms, Instagram conincides with the increase visitation. Though other social media sites will likely have an affect on visitation, one thing that seperates Instagram apart form Facebook and Twitter is it's use of visual simulation and user generated organization. Facebook is often critisized for creating social network bubbles because they don't have the ease of searching or sharing information with groups outside your social network. Twitter was the first platform that introduced the hashtag which allowed individual users to share their information with their followers and also orginized their content with others who have also used that hashtag with all others not limited to their own social network. Instagram imployed this same tactic to allow users to share photos with their followers and also tag their photos to share with others outside their social network.
Hashtags allow individuals to organize and share photos with ease, providing free access to location information that was previously time consuming to gather.
A timelapse of increase to certain parks within Oregon. Most of the current growth is being experienced at the coast though other parks scattered throughout the Oregon area are experiencing increases as well
The distribtion of visitation in a given year takes on a bell-curve like shape. Much of the recent research on recreational demand suggest that as climate change may affect visitation patterns, increaing visitaiton by increasing the window of desirable times to recreate.
Observable variable include GDP indicators for Oregon, shocks to travel cost, a climate approach or weather bin approach, Air Quality Index and social media indicators that capture uploads and likes of given hashtags that are park specific.