Education
2009-2013
National Sun Yat-Sen University
Bachelor of Science
Dept. of Mechanical and Electromechanical Engineering
2013-2015
National Cheng Kung University
Master of Science
Dept. of Industrial Design (Interaction Design)
Advisor: Professor Fong-Gong, Wu
Specialty
- Graphic design
- CIS(corporate identity system) design
- User interface design/coding
- Front-end developing
- User experience developing
- Free hand sketching
- Design methods
- EMG device operation, data collect and analysis
Softwares
- Adobe Illustrator
- Adobe Photoshop
- Autodesk Sketchbook pro
- Spine2.5D animation
- Microsoft office series
Coding abilities
- HTML5
- CSS3
- Bootstrap
Experiences
2008
Art director of Kang-Fu Club, TNFSH.
2011-2013
Art director of Power Dance Club, NSYSU.
2013-2015
Research assistant of Dept. of Industrial Design of National Cheng Kung University.
2014
Exchange student to University of Tasmania
2015
Paper Publication/Oral presentation on AHFE(Applied Human Factors and Ergonomics) in LasVegas
2015
Master Thesis Publication: Innovation Handle Design and Evaluation of Woks for Middle-Aged and Elderly people.
2016
Line sticker "Athletic Ape" published.
2013-present
Zoo T-icket T-shirt designer.
2013-present
Taiwanize T-shirt designer.
2016-present
Front-end developer of Precoo


Liberal Democrats promise clean power, warm homes and end of fossil fuel subsidies
by Science EditorIf voters are going cold on the major parties, the Liberal Democrats offered to warm them up a bit on Wednesday.
They're launching a pledge to insulate all Britain's homes by 2030.
Drafty houses account for a significant part of our national carbon footprint as we leak warm air, heated by burning fossil fuels, into the atmosphere.
It's a sensible policy and one they'd need to deliver in order to meet their other manifesto pledge of a net-zero carbon economy by 2045.
- Liberal Democrat manifesto: The key pledges, quotes and analysis
- Liberal Democrats unveil election manifesto bankrolled by £50 billion 'Remain bonus'
Making homes more efficient could also help them deliver on another very ambitious green pledge - 80% renewable electricity by 2030.
If we use energy more efficiently, we'll have to generate less.
But with current projections suggesting only 50% renewables by 2030, they'll have their work cut out.
Reversing the Conservative's moratorium on onshore wind energy would help them get towards that 80% target.
But many analysts predict nuclear power would be essential to fill gaps in the renewable power grid on the days that the wind isn't blowing and the sun isn't shining.
No mention of nuclear in the Lib Dem manifesto - a historically divisive issue for Liberal Democrats.
There aspiring policies for UK nature too - like planting 60million more trees restoring peat-lands.
The latter could be a win-win peat bogs lock up carbon and prevent flooding.
Everyone loves trees, but with many parties promising tree planting schemes some environmentalists are warning covering Britain's marginal land with plastic tubes filled with saplings is not the same as encouraging what's left of our natural wilderness to expand and thrive.
Hidden away in their manifesto is perhaps the most ambitious pledge of all - to take on the City over climate change.
The Lib Dems have said they will remove hidden subsidies for fossil fuels and regulate of financial services and UK registered and listed companies to set carbon cutting targets consistent with the Paris agreement.


Ahoy!
Stranded member of the
YELLOW
team, enter your outline!
Claim 1
Evidence 1
Evidence 2
Close Call Evidence
(evidence that somewhat supports your point, but not compellingly)
Red Herring Evidence
(evidence that does not support your point, at all!)
Claim 2
Evidence 1
Evidence 2
Close Call Evidence
(evidence that somewhat supports your point, but not compellingly)
Red Herring Evidence
(evidence that does not support your point, at all!)
Submit


🧢 Mallery
Static documentation site generator
This is a free and opensource static website generator for project documentations. Mallery automatically creates a static documentation website from the contents of your choosen folder. The output will look similar to this website.
Features
- A slim and general purpose theme
- Flexible and responsive navigation
- History control (last visited pages)
- Previous & Next page buttons
- Several options for individualization
- The exported HTML of markdown files is extended with bootstrap annotation
Ideas / Future plans
- Just work on the website and test Mallery
- Improving error handling
- Loadbar
- Non-webserver handling (open the html files locally without server)
- Enable minification of the js and css files (they are just called
min
:P) - Serve mode: Add a CLI option which watches the source folder
- Add a hide navigation button for large desktops
- Search through the navigation (probably with a custom search index via configuration file)
- Numbered headings
The name
The name was choosen randomly when I was reading through Wikipedia.
Creator
Creator of this tool is Katja Lutz


Disploy // Control Your World
What is this?
Reload Masonry
Reload Page
Interaction Mode
Selection Mode
Show/Hide Ids
Merge Tiles (Multiply)
Merge Tiles (Largest)
Split Tile(s)
Square 4x
Square 3x
Square 2x
Rectangle 2x
Normal
Reset All (Size)
Delete
1 Welcome to Disploy
2 Type console to toggle this window
3 -- Console not functioning fully --
4 Have a great time using disploy!


|
NeuralSharp
1.0
NeuralSharp is a FOSS C# library for neural networks.
|
Represents a layer whose input is an array and whose output is an image. More...
Inherits NeuralSharp.ILayer< float[], Image >.
Inherited by NeuralSharp.Convolutional.ArrayToImage, and NeuralSharp.Convolutional.DeConvolutionalNN.
Properties | |
| int | InputSize [get] |
| The length of the input of the layer. More... | |
| int | InputSkip [get] |
| The index of the first entry of the input array to be used. More... | |
| int | OutputDepth [get] |
| The depth of the output of the layer. More... | |
| int | OutputWidth [get] |
| The width of the output of the layer. More... | |
| int | OutputHeight [get] |
| The height of the output of the layer. More... | |
| Properties inherited from NeuralSharp.ILayer< float[], Image > | |
| TIn | Input [get] |
| The input object of the layer. More... | |
| TOut | Output [get] |
| The output object. More... | |
| int | Parameters [get] |
| The amount of parameters of the layer. More... | |
| object | SiameseID [get] |
| The siamese identifier of the layer. More... | |
Additional Inherited Members | |
| Public Member Functions inherited from NeuralSharp.ILayer< float[], Image > | |
| int | CountParameters (List< object > siameseIDs) |
| Counts the amount of parameters of the layer. More... | |
| void | Feed (bool learning=false) |
| Feeds the layer forward. More... | |
| void | UpdateWeights (float rate, float momentum=0.0F) |
| Updates the weights of the layer. More... | |
| void | BackPropagate (TOut outputError, TIn inputError, bool learning) |
| Backpropagates the given error trough the layer. More... | |
| void | SetInputAndOutput (TIn input, TOut output) |
| Sets the input object and the output object of the layer. More... | |
| TOut | SetInputGetOutput (TIn input) |
| Sets the input object of the layer and creates and sets the output object. More... | |
| ILayer< TIn, TOut > | CreateSiamese () |
| Creates a siamese of the layer. More... | |
| ILayer< TIn, TOut > | Clone () |
| Clones the layer. More... | |
Represents a layer whose input is an array and whose output is an image.
|
get |
The length of the input of the layer.
|
get |
The index of the first entry of the input array to be used.
|
get |
The depth of the output of the layer.
|
get |
The height of the output of the layer.
|
get |
The width of the output of the layer.


This extension lets you define and apply lists with commands. This can be used to apply a lockdown, whitelisting well known players, or reset staff lists.
Commands can only be run by the server owner and SERVER.
/list apply <list id>
- apply a list, will overwrite the existing server list./list reset <list id>
- resets the server list to the previous list. When the bot is
reloaded, previous lists are lost.


Obtain atmospheric parameters using the EW method. The results will be send by email after the script is done running. This may take a few minutes. The script is running when you press submit. Please be patient.


Optimization of Frames
Optimization? For What?
Storage space and transfer times for images are still an issue, even if we now have storage capacities and transfer rates that we in earlier times did not dare to dream of. But there is no reason to waste that if it can be avoided with clever algorithms. It still makes a difference to drag 20 images of an Internet page, each 400 kBytes in size, or only 200 kBytes each, through the network.
Automatic Optimization
The PNG and APNG formats provide options for lossless optimization. First there is the well-known Lempel-Ziv data compression, which is promoted by special filter algorithms before the compression.
For APNG there is also a method for creating differential images. This means that only the first and possibly the second image of an image sequence is a full image. The following pictures are often smaller and only contain the changes to the previous picture.
RunPNG automatically performs these optimizations. RunPNG also looks for the cheapest color format. For example, a truecolor image with a transparency channel (alpha) would be wasteful if a simple truecolor image with a six-byte transparency sample does the same. The latter would only be 75% in size compared to the version with an alpha channel. The difference is even greater when using a color palette, if possible. In that case, the image would only need 50% or less of the space of a truecolor image with a transparency channel. The situation is similar with pure black and white or greyscale images. Why waste three bytes on full color pixels when one byte per pixel does? As mentioned, RunPNG makes all of these optimizations independently and lossless, without the user having to worry about them.
Interlaced (Adam7)
One thing that RunPNG does not decide for itself is the use of the Adam7 algorithm (interlaced). Adam7 was designed by Adam Costello, one of the fathers of the PNG format. This image interlacing method is intended for special areas of application with a low transmission or display rate. If an interlaced image has been read into RunPNG, there is a check-mark on the relevant option field. The user has to choose this at his own decision. One should also know that Adam7 creates slightly larger files.
Palette and Analysis
What RunPNG does not decide for itself either, is the use of a palette optimization. As mentioned above, RunPNG can independently use an indexed color palette. But only as long as this is possible without loss. Because the color palette is limited to 256 colors (including possible transparencies).
Let's reload the gears from the RunPNG/doc/samples/sprockets 3/ folder and switch to Animated. By pressing the Analysis button, the user can get an overview of how the application would save this. And why it does it that way. RunPNG offers the user the same analysis tool that it uses for its own decision-making.
We see here that the gear sequence would be saved as a truecolor image with an alpha channel. The reason: There are more than 600 colored pixels in the image, which means that storage in greyscale is not possible. The many translucent pixels also require an alpha channel. And the almost 5,000 different individual color values ultimately prevent the application from using a palette.
But that doesn't mean that using a palette is completely impossible. Often the individual color differences are so minimal that the viewer would not even notice if they were blended a little. For this purpose, RunPNG has a so-called quantizer with a specially developed "rollup" algorithm, which first sorts the colors in descending order according to their usage frequency and then replaces all colors above an index of 255 with the closest color within the palette limits (0 - 255).
The Optimize for palette option has now been activated. The number of colors in the display are reduced to 256 and the user can look for changes. If one sees any. With this option activated, RunPNG could save the gears as an indexed truecolor image with a palette and a transparency table.
See below: On the left the truecolor image with an alpha channel and a size of 244 kBytes, on the right the indexed image with a palette and only 125 kBytes. They are almost indistinguishable with the human eye.
However, one must honestly say that a palette optimization does not always deliver the desired result. Especially when the number of different colors is in the tens of thousands or more. This must always be tried out in individual cases and assessed by the user.
Note: For the analysis it is important to switch to the desired type of animation. Otherwise RunPNG will analyze the wrong number of images.


Ingredient parsing
Online recipes can be messy. Ingredient lists can be messy too: they come in many flavors. For example, "1/4 cup cooked shredded chicken", or "1/3 cup chopped fresh cilantro" or "Fresh avocado cubes, for garnish, if desired". While, in fact, all we are interested to get from these is chicken , cilantro and avocado . For humans, parsing these ingredient lists and figuring out what we need to buy at the grocery store is trivial. For a computer, not so much.
Natural Language Processing allows computers to extract data from human languages. I used NLP and, in particular, the Python NLTK package (Natural Language ToolKit) to split phrases into words and categorize these words into word classes (noun, verb, adjectives, ...): this is a process known as part-of-speech tagging or POS-tagging.
Using the words themselves, their POS tags and various combinations of consecutive words and tags as features, we can build a Machine Learning model. Such a model will then be able to predict what kind of word is a specific word in a phrase. Is it an ingredient name, a quantity, a unit of measurement or some other word that can be ignored for this project? In order to achieve this, I used a model called Conditional Random Field (often used for labeling or parsing sequential data, such as natural language text or biological sequences) and the Python python-crfsuite package.
For training the model, I used 1000 recipes for which I semi-manually tagged every word of every ingredient phase as QTY
(quantity), UNIT
(unit of measurement), NAME
(ingredient name) or COM
(comment). I split this data into 80% training and 20% testing data. After training the model, the precision for ingredient name prediction for the testing data was about 94%.
I then wrote a small Flask API that will return the model prediction from an ingredient phrase. You can test it out here using the following form. The result will appear underneath the form and will be color-coded by category: green for quantities , blue for units and red for ingredient names (the rest is classified as comments).


---
layout: post
title: behind the scenes of seidiors shot amazing how
date: '2011-04-21T14:59:00-07:00'
tags: []
tumblr_url: http://blog.dishbreak.com/post/4816762211/behind-the-scenes-of-seidiors-shot-amazing-how
---
Behind the scenes of seidior’s shot. Amazing how common of a scene this is.


2 references to Continuous
Microsoft.PowerShell.Commands.Diagnostics (2)
GetCounterCommand.cs (2)
203
if (
Continuous
.IsPresent && _maxSamplesSpecified)
491
if (
Continuous
.IsPresent)


buddy311
References
Data Sources
New York Open Data
Chattanooga
SeeClickFix REST API
Bloomington
Baton Rouge
311 and Open311
311 Wikipedia
Open311
Costs and Budgets
Miami-Dade County (in Volume 3)
New York Citys' Mayor's Management Reports
Toronto 311 Budget 2018
Vancouver
Boston
Baltimore (page 127)
Los Angeles
Houston
News Articles
Is the Cost of 311 Systems Worth the Price of Knowing?
Chicago 311 history
Article on San Antonio showing flat fee mobile application costs
Opinion article on how to save money on 311
Uses of Data Science in 311
Chicagos rat prediction
Albuquerque award for embedding 311 application in alexa
+
youtube commercial
Miami-Dade 311 server innovation accolades from Harvard
NYC 311 implementation of Watson
News about Houston 311 using Microsoft


Hey, Javascript! A language that I haven't used in a long time. After getting used to Ruby, Javascript seems counterintuitive and kind of a pain to use.
Javascript is interesting because it's a bit more of a basic language when compared to Ruby. That means that it has less methods built in (Ruby has a *huge* selection of enumerable methods built in that are super fun to play with), which means that more methods need to be written simply need to be defined within the code or pulled in from a library. For example, if you wanted to reverse a string in Ruby, you could simply type the following:
a = "I am a string"
a.reverse!
puts a => "gnirts a ma I"
In Javascript, the same action would have to be created as a function, and then called, like so:
function reverse(string) {
return string.split("").reverse().join("");
}
console.log(reverse("I am a string"));
=> "gnirts a ma I"
Because of this requirement, Javascript can be a bit less readable in Ruby, and comments become more important so that other people that read your code can follow your logic. You need to worry more about readability because sometimes the functions you make can feel alien to you later on when you call them and forget just how they work. However, I personally enjoy working with javascript because it forces me to thing about the logic of the functions that I am calling, which in turn allows me to troubleshoot more effectively when a function returns an error or something unexpected.


• Professional Pancit Canton Cooker.
• Maximum of 4 minutes attention span.
• Top tier household cleaner.
• Undethroned King of Procrastination.
• Professional Pancit Canton Cooker.
• Maximum of 4 minutes attention span.
• Top tier household cleaner.
• Undethroned King of Procrastination.
Eating (also known as consuming) is the ingestion of food, typically to provide a heterotrophic organism with energy and to allow for growth. Animals and other heterotrophs must eat in order to survive — carnivores eat other animals, herbivores eat plants, omnivores consume a mixture of both plant and animal matter, and detritivores eat detritus.
Sleep is a naturally recurring state of mind and body, characterized by altered consciousness, relatively inhibited sensory activity, reduced muscle activity and inhibition of nearly all voluntary muscles during rapid eye movement (REM) sleep,and reduced interactions with surroundings. The quick brown fox jumps over the lazy dog.
Dota 2 is a multiplayer online battle arena (MOBA) video game developed and published by Valve. The game is a sequel to Defense of the Ancients (DotA), which was a community-created mod for Blizzard Entertainment's Warcraft III: Reign of Chaos and its expansion pack, The Frozen Throne.


#include <SDL_ttf.h>
#include <string>
#include "Component.hpp"
#include "GameManager.hpp"
Go to the source code of this file.
|
| #define | WIN_SPRITE "./Assets/Platformer/Interface/win.png" |
| |
| #define | LOOSE_SPRITE "./Assets/Platformer/Interface/loose.png" |
| |
◆ LOOSE_SPRITE
| #define LOOSE_SPRITE "./Assets/Platformer/Interface/loose.png" |
◆ WIN_SPRITE
| #define WIN_SPRITE "./Assets/Platformer/Interface/win.png" |
◆ GameStatus
An enum that contains the possible states in which the current game can be in.
| Enumerator |
|---|
| ONGOING | The game result is undecided and player is still in play.
|
| WIN_GAME | The game is over and the player won the game.
|
| LOOSE_GAME | The game is over and the player lost the game.
|


How many connected components does this graph have?
The maximally connected subgraphs of an undirected graph are called connected components.
Vertices 0, 1, 2, 3, and 4 form one connnected component


Before Change
def detect_faces_uri(uri):
Detects faces in the file located in Google Cloud Storage or the web.
vision_client = vision.Client()
image = vision_client.image(source_uri=uri)
faces = image.detect_faces()
print("Faces:")
After Change
faces = response.face_annotations
// Names of likelihood from google.cloud.vision.enums
likelihood_name = ("UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE",
"LIKELY", "VERY_LIKELY")
print("Faces:")
for face in faces:
print("anger: {}".format(likelihood_name[face.anger_likelihood]))
print("joy: {}".format(likelihood_name[face.joy_likelihood]))
print("surprise: {}".format(likelihood_name[face.surprise_likelihood]))
vertices = (["({},{})".format(vertex.x, vertex.y)


Bootstrap - https://getbootstrap.com/
Bootstrap Tables - https://bootstrap-table.com/
Bootstrap Confirmation - http://bootstrap-confirmation.js.org/
jQuery - https://jquery.com/
Raphaël - https://dmitrybaranovskiy.github.io/raphael/
Tether - http://tether.io/
Popper.js - https://popper.js.org/
Treant.js - https://fperucic.github.io/treant-js/
Font Awesome - https://fontawesome.com/
Code by juvian(Lordaeron/Azeroth) - http://eden-item-guide.glitch.me/
At this point I'm not even sure that I'm doing something at all, since whenever I have problems - Juvian comes to the rescue.
많은 번역과 도움을 준 edt.14o5 & Purtress에게 감사의 마음을 전합니다.


Pollstar says U2 top touring act over the last decade
NEW YORK (AP) - It was a beautiful decade for U2 on the touring front, as the Rock and Roll Hall of Famers raked in over $1 billion in sales to be named the artist of the decade by Pollstar.
The touring trade publication tracks data on tours globally. It says U2 grossed $1.03 billion in ticket sales f rom November 2009 to November 2019. They were followed by The Rolling Stones, which had just under a billion with $929 million; Ed Sheeran was third with $922 million; Taylor Swift was fourth with an estimated $900 million; and Beyonce was at No. 5 with $857 million.
Rounding out the top 10 were Bon Jovi, Paul McCartney, Coldplay, Bruce Springsteen & the E Street Band and Roger Waters.
VenuesNow, Pollstar’s sister outlet, named London’s O2 the top grossing venue.
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Please read our comment policy before commenting.


A guy was crossing a road one day when a frog called out to him and
said, “If you kiss me, I’ll turn into a beautiful princess.” He bent
over, picked up the frog and put it in his pocket.   Again the guy took the frog out,
smiled at it and put it back into his pocket.
Finally the frog asked, “What is the matter? I’ve told you I’m a
beautiful princess, that I’ll stay with you for a week and do anything
you want.  The guy said, “Listen, I’m a software
engineer. I don’t have time for a girlfriend, but a talking frog is
cool.”


Tonight's National Lottery Lotto winning numbers for Wednesday November 20
If you've picked the winning numbers tonight your life could change forever
by Sophie McCoidWinning the lottery is something many of us dream of and tonight could be your lucky night.
Tonight's Lotto Jackpot is £8.6m, which would be the perfect early Christmas present, with just five weeks to go until the big day.
What would you do with the cash? Retire? Travel and see the world? Or treat your loved ones to something they've always dreamed of?
Well all these options would be open to you, if you have won tonight's jackpot.
Earlier this week one lucky UK jackpot holder won a massive £105m on Euromillions.
Tonight's winning Lotto numbers are: 8, 17, 31, 47, 49, 52 and the bonus ball was 12
Tickets are on sale from most UK newsagents and supermarkets from 8am to 11pm on most days, except when there’s a draw, in which case tickets can be purchased until an hour before.
Each one costs £2, with Lotto draws taking place every Wednesday and Saturday evening.
Players need to select six numbers between 1 and 59.
As well as changing lives of the prize winners, the National Lottery funds projects all over the UK.
Every week part of the ticket sales goes towards good causes.
Players have to be 16 and over and physically in the UK or Isle of Man.
National Lottery underwent major rebranding in October 2002.


{% include head.html %}
{% include nav.html %}
{% include convergence.html %}
{% include footer.html %} {% include js.html %}


Food tech investment data: Twiga, Emmac, Future Meat Technologies and more…
by Katy AskewIn partnership with data provider Tracxn, FoodNavigator brings you a monthly round-up of investment in the EMEA food- and ag-tech space.
The food system, in its current form, will be unable to sustain a growing global population in a sustainable way. For this reason, innovators working to re-think the future of food by developing scientific and technological solutions are attracting investment.
According to data from Tracxn, 17 deals were completed in food- and ag-tech in the EMEA region in October.
Marketplace solutions working to shorten supply chains and build closer relationships were a key feature of investment activity. France’s ProcSea picked up €6.5m to further its aim of simplifying and streamlining the seafood supply chain.
Founder Renaud Enjalnert said that the company’s ambition is to ‘promote all the players’ in the seafood sector through a digital solution that connects fishermen with buyers, wholesalers and processors. Enhalnert said that in addition to making seafood procurement easier, the company promotes sustainability by allowing people to ‘discover new spices’ and ‘work with seasonal products’.
Online delivery continued to make waves, with Spanish service provider ApetEat picking up €1m in funding and UK-based Lean Lunch completing a seed funding round. Both companies are focused on making healthy choices more convenient and available to consumers – with a particular focus on lunchtime options.
ApetEat focuses on promoting the Mediterranean diet to individual consumers and as a corporate catering service in Madrid. Meanwhile, Lean Lunch aims to deliver ‘wellbeing for people and the planet’ through its cargo cycle lunch delivery service that provides ‘at least’ three of your five-a-day, uses 100% recyclable and compostable packaging and keeps food waste to ‘almost zero’ through its advance ordering system.
Investment round-up: October
| Company | Description | Investors | Capital Raised | Date | Location |
| Repeat | Smartphone app for table booking | Undisclosed | US$2,500,000 | 29 October | Dubai, UAE |
| Twiga | End-to-end logistics solution | Goldman Sachs; IFC; TLcom Capital Partners; CREADEV; AlphaMundi; OPIC | US$30,000,000 | 28 October | Nairobi, Kenya |
| Augmenta | Automated fertiliser spraying | US$2,500,000 | 24 October | Marousi, Greece | |
| The Flying Spark | Insect-based protein | Thai Union | Undisclosed | 18 October | Tel Aviv, Israel |
| DigiTally | Stock management for food industry | NDRC | US$32,918 | 18 October | Tuam, Ireland |
| EMMAC | Cannabis for medical and health & wellness sectors | FastForward Innovations and others | US$19,027,800 | 16 October | London, UK |
| ProcSea | Digital marketplace for seafood | Serena; FJ Labs; Samaipata; Alpana Ventures; Piton Capital; Cap Horn; Marathon | US$7,1667,510 | 15 October | Rennes, France |
| Hummingbird Technologies | On-demand areal image capture, process and data analytics for agri-production | BASF; TELUS; SALIC; Downing | US$10,000,000 | 15 October | London, UK |
| TIBOT TEchnologies | Robotic solutions for poultry farming | Seventure Partners; Crdit Agricole Ille et Vilaine Expansion; Demeter; BNP Paribas | US$3,310,150 | 14 October | Cesson-Sévigné, France |
| ApetEat | Healthy lunch delivery | Big Sur Ventures, All Iron | US$1,097,270 | 10 October | Madrid, Spain |
| Future Meat Technologies | Cultured meat grown in bioreactors | Emerald Technology Ventures; S2G Ventures; Tyson Ventures; Manta Ray; Bits x Bites | US$14,000,00 | 10 October | Jerusalem, Israel |
| Lean Lunch | Healthy lunch delivery | Rob Whitehead (Angel investor) | US$367,330 | 9 October | Leeds, UK |
| Soil Scout | Wireless soil moisture monitoring | Husqvarna group | Undisclosed | 8 October | Helsinki, Finland |
| PATS Indoor Drone Solutions | Developer of microquadcopter drones to keep crops insect free | UNIIQ | US$274,375 | 7 October | Delft, Netherlands |
| Vertical Future | Producer and suppliers of organic agricultural foods | Earthworm | US$4.930,680 | 7 October | London, UK |
| Centaur | Cognitive platform providing real-time monitoring and data analytics of stored crops | US$160,000 | 1 October | Volos, Greece | |
| SenSat | Develops a surveying drone and provides drone-enabled surveying services | Tencent; Sistema VC | US$10,000,000 | 1 October | London, UK |
Big bet #1: Tackling food waste in Africa
A Kenyan company, Twiga Foods, attracted the largest investment of the period, securing US$30m in a Series B investment round let by Goldman Sachs, with participation from existing investors International Finance Corporation, TLcom Capital and Creadev.
The company was launched in 2014 and has developed Kenya’s only end-to-end distribution chain for fresh and processed foods. Twiga’s digital platform and logistics network links retailers with farmers and food processors.
Today, Twiga sources from more than 17,000 producers and delivers to 8,000 retailers.
“Twiga’s innovative model combines technology and modern logistics tailored to the local market to re-engineer the food supply chain,” Jules Frebault of Goldman Sachs said. The investment will enable the Twiga team to ‘scale operations’ and ‘drive sustainable access to lower cost quality food’ on the continent, he added.
The African company said it aims to tackle inefficient supply chains, helping to reduce food prices and waste. Currently, 30-50% of fresh produce is lost through ‘poor post-harvest processes’, according to the supply chain innovator. Twiga claims it has been able to reduce the level of food waste by up to 70% compared to market averages.
Peter Njonjo, CEO and co-founder at Twiga Foods, commented: “This funding enables us to invest in our technology and organisation to tackle the inefficiencies in Africa’s domestic food production and distribution ecosystems; a $300bn informal and fragmented market that is estimated to grow to $1trn by 2030. With the support of our investors, we are developing technology-driven commercial solutions and cooperating with existing industry players to solve the challenge of food security in Africa.”
With Sub-Saharan Africa’s population set to double by 2050, food security is a major challenge for the region.
As Professor Hamadi Boga, principal secretary of the Kenya State Department for Crop Development and Agricultural Research, explained: “Food security is a key priority for the Kenyan government and Twiga Foods is playing a major role in achieving this. As our population grows and urbanisation continues, it is essential that we can provide access to affordable food for as many Kenyans as possible, as well as support and promote sustainable agriculture. We commend them on their impact so far, as well as their ability to attract investment to Kenya.”
Big bet #2: EMMAC eyes canna-biz with cash injection
Regulatory uncertainty in Europe has prevented many of the regions budding cannabis, hemp and CBD companies attracting similar levels of investment as those seen in North America.
However, UK-based EMMAC Life Sciences Group was able to raise £15m in funds from a range of new and existing investors, including AIM quoted FastForward Innovations. Fresh cash comes on the back of initial seed funding of £2m, a further £6m in January this year, and again an additional £11m in March.
EMMAC claims to bring together ‘pioneering’ science and research with ‘cutting-edge’ cultivation, extraction and production.
EMMAC CEO Antonio Costanzo said that he is ‘not aware’ of any private UK medical cannabis company that has ‘raised this quantum of finds’.
“2019 has been an extremely busy year for EMMAC as we have executed our strategy to build a strong position in Europe in the medical cannabis and wellness markets, with operations in eight countries. We now have an established presence in all aspects of the cannabis supply chain and are well placed to meet the rapidly growing demands of the market, driven by regulatory change and consumer demand,” he said.
Big bet #3: Replacing barns with bioreactors
The need to develop sustainable alternatives to intensive animal agriculture is at the forefront of debate around the future of protein.
Start-up Future Meat Technologies believes it has a solution. It has developed a ‘groundbreaking’ process using GMO-free animal cells to grow meat in patented bioreactors. The company believes these bioreactors can ‘replace barns, chicken coops and meat processing factories’.
“Products are indistinguishable from animal-based meat,” according to the company.
“This disruptive technology is sustainable and cost-effective, and due to rapid growth cycles, it allows producers to adapt to changing market demands.”
The company revealed its products emit 80% fewer greenhouse gasses, use 99% less land and 96% less land than conventional meat production.
The Israeli firm raised US$14m in a Series A round that it said would be used to build the world’s first cultured meat pilot production facility. It is estimated that operations will begin in 2020.
“With this investment, we’re thrilled to bring cultured meat from the lab to the factory floor and being working with our industrial partners to bring our product to market,” said Future Meat CEO Rom Kshuk.
Significantly, Future Meat believes its production model can make cultured meat economically viable. With current small-scale production costs of $150 per pound of chicken and $200 per pound of beef, Future Meat Technologies plans to release its hybrid products at a ‘competitive’ cost level from its pilot production facility by 2021 and launch a second line of 100% cultured meat products at a cost of less than $10 per pound by 2022.
“The worldwide demand for protein is growing exponentially, and the only way to meet this demand is by fundamentally reinventing animal agriculture. Future Meat Technologies created a cost-effective solution for cultured meat manufacturing that is scalable and sustainable by design," noted Professor Yaakov Nahmias, the company's founder and chief scientist.


{% extends "soc/base.html" %} {% comment %} Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. {% endcomment %} {% load forms_helpers %} {% load list_helpers %} {% block body %} {% block instructions %} Use this page to manage the Student Project. You can (re)assign Mentors here and check the status of the evaluations. {% endblock %}
Primary Mentor
In this section you can assign a new Primary Mentor.
Note that if you select a co-Mentor from this list that Mentor will be removed from the co-Mentors.
Co-Mentors
In this section you can add/remove co-mentors for this project.
Co-mentors usually play a vital role in the success of a project, however they are not responsible for taking evaluations.
| {{ mentor.name }} | {% endfor %} |
Evaluations
This section contains the Mentor and Student Evaluations.
From here you can view the Mentor and Student Evaluations and if possible (re)take the evaluations given by your Mentor.


Cardiology
Cardiology is a branch of medicine dealing with disorders of the heart as well as parts of the circulatory system.
The field includes medical diagnosis and treatment of congenital heart defects, coronary artery disease, heart failure, valvular heart disease and electrophysiology. Physicians who specialize in this field of medicine are called cardiologists, a specialty of internal medicine. Pediatric cardiologists are pediatricians who specialize in cardiology. Physicians who specialize in cardiac surgery are called cardiothoracic surgeons or cardiac surgeons, a specialty of general surgery.
Although the cardiovascular system is inextricably linked to blood, cardiology is relatively unconcerned with hematology and its diseases. Some obvious exceptions that affect the function of the heart would be blood tests (electrolyte disturbances, troponins), decreased oxygen carrying capacity (anemia, hypovolemic shock), and coagulopathies.
Types of Cardio problems operated:
-Cardiovascular System
-Heart disorder
-Hypertension
-Artery Diseases
-Valve Replacement
Doctors Concern:


A Shell
whose run
method will pass true
for execute
's color
parameter, and pass for all other parameters the same values as this Shell
.
A Shell
whose run
method will pass true
for execute
's durations
parameter, and pass for all other parameters the same values as this Shell
.
A Shell
whose run
method will pass false
for execute
's shortstacks
parameter and true
for its fullstacks
parameter, and pass for all other parameters the same values as this Shell
.
Returns a copy of this Shell
with colorPassed
configuration parameter set to false
.
Returns a copy of this Shell
with durationsPassed
configuration parameter set to false
.
Returns a copy of this Shell
with shortStacksPassed
configuration parameter set to false
.
Returns a copy of this Shell
with statsPassed
configuration parameter set to false
.
Run the passed suite, optionally passing in a test name and config map.
Run the passed suite, optionally passing in a test name and config map.
This method will invoke execute
on the passed suite
, passing in
the specified (or default) testName
and configMap
and a set of configuration values. A
particular Shell
instance will always pass the same configuration values (color
,
durations
, shortstacks
, fullstacks
, and stats
) to execute
each time
this method is invoked.
A Shell
whose run
method will pass true
for execute
's shortstacks
parameter and false
for its fullstacks
parameter, and pass for all other parameters the same values as
this Shell
.
A Shell
whose run
method will pass true
for execute
's stats
parameter, and pass for all other parameters the same values as this Shell
.
Trait whose instances provide a
run
method and configuration fields that implement the ScalaTest shell: its DSL for the Scala interpreter.The main command of the ScalaTest shell is
run
, which you can use to run a suite of tests. The shell also provides several commands for configuring a call torun
:color
(the default) - display results in color (green for success; red for failure; yellow for warning; blue for statistics)nocolor
- display results without colordurations
- display durations of (i.e., how long it took to run) tests and suitesnodurations
(the default) - do not display durations of tests and suitesshortstacks
- display short (i.e., truncated to show just the most useful portion) stack traces for all exceptionsfullstacks
- display full stack trackes for all exceptionsnostacks
(the default) - display no stack trace forStackDepth
exceptions and a short stack trace for non-StackDepth
exceptionsstats
- display statistics before and after the run, such as expected test count before the run and tests succeeded, failed, pending, etc., counts after the runnostats
(the default) not display statistics before or after the runThe default configuration is
color
,nodurations
,nostacks
, andnostats
.All of these commands are fields of trait
org.scalatest.Shell
. Each configuration command is a field that refers to anotherShell
instance with every configuration parameter the same except for the one you've asked to change. For example,durations
provides aShell
instance that has every parameter configured the same way, except with durations enabled. When you invokerun
on that, you will get a run with durations enabled and every other configuration parameter at its default value.The other useful "command" to know about, though not technically part of the shell, is the
apply
factory method in theSuites
singleton object. This allows you to easily create composite suites out of nested suites, which you can then pass torun
. This will be demonstrated later in this documentation.Using the ScalaTest shell
The package object of the
org.scalatest
package, although it does not extendShell
, declares all the same members asShell
. Itsrun
method runs with all theShell
configuration parameters set to their default values. A good way to use the ScalaTest shell, therefore, is to import the members of packageorg.scalatest
:scala> import org.scalatest._ import org.scalatest._
One thing importing
org.scalatest._
allows you to do is access any of ScalaTest's classes and traits by shorter names, for example:scala> class ArithmeticSuite extends FunSuite with matchers.ShouldMatchers { | test("addition works") { | 1 + 1 should equal (2) | } | ignore("subtraction works") { | 1 - 1 should equal (0) | } | test("multiplication works") { | 1 * 1 should equal (2) | } | test("division works") (pending) | } defined class ArithmeticSuite
But importing
org.scalatest._
also brings into scope the commands of theShell
, so you can, for example, invokerun
without qualification:Configuring a single run
To configure a single run, you can prefix run by one or more configuration commands, separated by dots. For example, to enable durations during a single run, you would write:
To enable statistics during a single run, you would write:
And to enable both durations and statistics during a single run, you could write:
The order doesn't matter when you are chaining multiple configuration commands. You'll get the same result whether you write
durations.stats.run
orstats.durations.run
.To disable color, use
nocolor
:scala> nocolor.run(new ArithmeticSuite) ArithmeticSuite: - addition works - subtraction works !!! IGNORED !!! - multiplication works *** FAILED *** 1 did not equal 2 (<console>:16) - division works (pending)
To enable short stack traces during a single run, use
shortstacks
:Changing the default configuration
If you want to change the default for multiple runs, you can import the members of your favorite
Shell
configuration. For example, if you always like to run with durations and statistics enabled, you could write:scala> import stats.durations._ import stats.durations._
Now anytime you run statistics and durations will, by default, be enabled:
Running multiple suites
If you want to run multiple suites, you can use the factory method in the
Suites
singleton object. If you wrap a comma-separated list of suite instances insideSuites(...)
, for example, you'll get a suite instance that contains no tests, but whose nested suites includes the suite instances you placed between the parentheses. You can placeSuites
insideSuites
to any level of depth, creating a tree of suites to pass torun
. Here's a (contrived) example in whichArithmeticSuite
is executed four times:Running a single test
The
run
command also allows you to specify the name of a test to run and/or a config map. You can run a particular test in a suite, for example, by specifying the test name after the suite instance in your call torun
, like this:


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grpc_get_failed_sessionid
- Get session ID that failed for calls.
grpc_error_t grpc_get_failed_sessionid(grpc_sessionid_t *idPtr)
grpc_sessionid_t *idPtr
The grpc_get_failed_sessionid() function returns the session ID associated with the most recent GRPC_SESSION_FAILED error. This provides additional error information on a specific session ID that failed for calls that deal with sets of session IDs, either implicitly, such as grpc_wait_all(), or explicitly, such as grpc_wait_and().
When there are more than two failed sessions, this function will return the session ID one by one. To make sure that all the failed sessions are handled, users have to call this function repeatedly until it returns GRPC_SESSIONID_VOID.
This function is MT-safe.
GRPC_NOT_INITIALIZED
GRPC_OTHER_ERROR_CODE


Born in Sragen. Currently live in Surabaya. Coding the website since 2015 using HTML, CSS, SaSS, NPM, Yarn, Adobe XD and many more . Available for project opportunities 👨🎨
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- Timestamp:
- 03/27/09 15:46:28 (7 years ago)
- Location:
- releases/mystic-0.1a1
- Files:
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examples/rosetta_mogi.py (added)
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examples/test_br8_mpi.out.X (added)
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examples/test_dejong3.py (added)
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examples/test_mogi_anneal.py (added)
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examples/test_mogi_leastsq.py (added)
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examples/test_twistedgaussian.py (added)
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examples/test_zimmermann.py (added)
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models/abstract_model.py (added)
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models/circle.py (added)
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models/corana.py (added)
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mystic (added)
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mystic/__init__.py (added)
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mystic/_scipy060optimize.py (added)
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mystic/differential_evolution.py (added)
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mystic/filters.py (added)
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mystic/termination.py (added)
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mystic/tools.py (added)
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setup.py (added)
Note: See TracChangeset
for help on using the changeset viewer.


Ticket includes: coffee and donuts, presentations, salad and sandwich buffet, Destination Moon exhibit, parking, afternoon snack, and one year’s membership to St. Louis Space Frontier. Register on Eventbrite
Gateway to Space 2018 focuses on an important space settlement destination: The Moon. This one day conference about living and working on the Moon includes a tour of the Destination Moon exhibit at the St. Louis Science Center.
Kick-off the morning with coffee, donuts, and registration at 8:30am, followed by a warm welcome from St. Louis Space Frontier president Christine Nobbe.
Keynote Speaker Dr. Peter Schubert, a renowned researcher, author, and inventor from IUPUI, will present on two topics described in detail below. Local experts, Dave Dietzler and Bryce Meyer, will share information on in situ resource mining and space farming.
Dr. Brad Jolliff of Washington University in St. Louis will present a scientist's perspective on why we should Return to the Moon.
During lunch, a salad and sandwich buffet, we will honor our Gateway to Space awardees, Brian Stofiel of Stofiel Aerospace and the Saint Louis Science Center team.
Exploring the Destination Moon exhibit, with the Apollo 11 command module and other artifacts, reminds us of our dream to settle the Moon and leads us to advocate for a Moon Village, a concept to be discussed at Gateway to Space.
An optional, pay your own way, dinner is being planned for 6pm at a favorite St. Louis restaurant. (more information to follow)
Dr. Peter J. Schubert is Professor of Electrical and Computer Engineering at Indiana University-Purdue University Indianapolis and serves there as the Director of the Richard G. Lugar Center for Renewable Energy. His doctorate is from Purdue, his master's degree is from Cincinnati, and he holds a Bachelor of Arts in Physics from Washington University, where he was a member of the Thurtene Leadership Honorary. He has 42 patents in the US plus 13 more in the EU, and has published over 100 technical papers in 11 distinct fields of study. Schubert has been Principal Investigator on research grants from DoD, DOE, USDA, NSF, and GSA, plus two SBIRs from NASA, and ran an experiment on the Vomit Comet including 27 lunar gravity parabolas. Peter's primary interest is Space Solar Power derived from lunar and asteroidal materials.
Dr. Schubert's first talk: Pathway to Power via the Moon This is a TED talk format for a compelling vision whereby a lunar village, which is self-sufficient when including C-class asteroidal materials, can be used to fabricate the components of a GEO-located solar power satellite. The enterprise will be cash positive. But more important, the pathway between 2018 and this vision is laid down so that each step is cash-positive. A key is the use of cryptocurrency and smart contracts with a new token to be introduced publicly for the first time at GtS 2018.
Dr. Schubert's second talk: Corruption Resistant Governance for Space Humans are often selfish, greedy, and inconsiderate and to govern themselves requires a means by which corruption is thwarted. Stochastic Democracy is one candidate for home rule of space habitats which meets these criteria. Results from three previously published AIAA papers will be summarized, followed by a preview of a fourth paper to be published at SPACE 2018 a few weeks later.
Dr. Brad Jolliff is the Scott Rudolph Professor of Earth and Planetary Sciences at Washington University in St. Louis. His research focus is on the Moon and Mars, the materials that make up their surfaces, and what they tell about the planet’s history. Jolliff is a member of the Mars Exploration Rovers team and the Lunar Reconnaissance Orbiter Camera science team. He has served on the Science Committee of the NASA Advisory Council, as a member of the National Academy of Sciences Decadal Survey for Solar System Exploration, and on the committee that advises NASA on the curation and allocation of extraterrestrial materials.
Dr. Jolliff’s talk: Science Priorities for a Return to the Moon Where should we go and what should we do when we return to the Moon? What are we doing now to prepare for the next generation of activity on the Moon? Dr. Jolliff provides a scientists' perspective on these questions.
Bryce L. Meyer has a varied background in engineering and technologies with experiences in fields and on waters. He has graduate degrees in engineering and biology, works for universities, runs technology companies, and does independent research into space farms and bioreactors. He has written and illustrated children's STEM books on space and marine life, and has dozens of published papers and talks. His motto: "Why space? TRILLIONS of happy, smiling babies!"
Mr. Meyer's talk: Space Farming, Menus, and Biological Life Support: For Here and There In space, whether in zero gravity like the ISS, or in gravity, as in rotating stations or on the Moon or Mars, room is tight and mass is expensive! What technologies will make growing food in space possible? How do we tie various machines and organisms together to feed people and recycle air and water? How do we make farms that can provide food to other settlements and maybe even back to Earth? What kinds of meals can future space tourists, workers, or settlers expect?
David Dietzler is a lifelong space enthusiast ever since he was a tiny tot watching Mercury rockets lift off on TV. Later on came Gemini, Apollo, Lost in Space, Star Trek, and much, much more. When he got a library card he became a voracious reader of books by Von Braun, Wily Ley, A.C. Clarke, and others. Today he searches the internet reading all about space and science connected with space exploration which includes astronomy, physics, chemistry, geology, life sciences, and math. Mr. Dietzler has written over 60 articles for the Moon Miners Manifesto and has had several articles published in Ad Astra and Spaceflight, a publication of the British Interplanetary Society. He has a website at: https://moonminer.info/
Mr Dietzler's talk: Mining the Moon: Lunar Resources The resources of the Moon include free vacuum, solar energy, low gravity, polar crater ices, and regolith (lunar soil). The regolith contains oxygen; metals; traces of hydrogen, helium, nitrogen; and other elements needed for construction and living on the Moon. Ways of mining, methods of element extraction, and manufacturing useful items with lunar resources are to be discussed.


layout: true
 DRAFT
  --- name: xaringan-title class: left, middle ### Biscayne Bay Southeastern Everglades Ecosystem Restoration
(WQ Subteam) #### DRAFT - .fancy[Water Quality Evaluation] .footnote[ Paul Julian PhD
[
](mailto<EMAIL_ADDRESS><EMAIL_ADDRESS>May 02, 2023
(Updated: May 04, 2023 ) .small[Use cursor keys for navigation, press .red["O"] for a slide .red[O]verview] ] --- name: Obj class: left ### Objective - Review and evaluate existing surface water quality across the BBSEER project area using available data. ### Approach - Evaluate data from SFWMD (DBHydro) and Miami-Dade County’s Division of Environmental Resources Management between May 2006 to April 2022 (WY2007 - 2022). - Calculate annual geometric mean (AGM) Total Phosphorus (TP) and Total Nitrogen (TN) concentrations - Must have at least three years of continuous data, and - a minimum of 4 samples per year with at least one sample in wet and dry seasons - where possible (for structures) GM were calculated using data on days with observed discharge (some adjustment is possible). - Average AGM and upper 95% confidence interval values were calculated for each monitoring location - Mann-Kendall trend and Thiel Sen slope were also evaluated --- name: AGM TP ### Total Phosphorus - Average AGM
  --- name: UCI TP ### Total Phosphorus - Upper 95% CI of Avg AGM
  --- name: Trend TP ### Total Phosphorus - Long Term Trend
  --- name: AGM TN ### Total Nitrogen - Average AGM
  --- name: UCI TN ### Total Nitrogen - Upper 95% CI of Avg AGM
  --- name: Trend TN ### Total Nitrogen - Long Term Trend
  --- name: NNC ### Biscayne Bay NNC
  - Numeric Nutrient Citeria based on Estuary Segements outlined in [62-302.532 FAC](https://www.flrules.org/gateway/RuleNo.asp?title=SURFACE%20WATER%20QUALITY%20STANDARDS&ID=62-302.532) - Spatially averaged GM concentration by NNC Segment, not to be exceed 1 in 3 years - Each segment has a specific NNC for TN, TP and Chl-a --- name: NNC2 ### Biscayne Bay NNC  --- name: summary ### Summary - High level look at surface water quality by integrating multiple data sets together (>100 monitoring locations used) - Very little difference in average and upper 95% CI geometric mean TP and TN concentrations (w/ some exceptions) - Significant monotonic changes in TP and TN concentrations were detected - 31 locations significantly increases TP concentration (most in coastal region) - 14 locations significantly decreasing TP concentration (S332C & FLAB sites) - 17 locations significantly increases TN concentration (most in Biscayne Bay) - 8 locations significantly decreasing TN concentration (L31N and Biscayne Bay) - Some locations did not see statistically significant changes but remarkable change overtime (i.e. BS11) - Some locations did not see change over time (i.e. near zero slope) but concentrations remain relatively elevated. - Additional evaluation is needed (including additional data sources if possible) --- name: last slide class: left ### Acknowledgements #### Data  South Florida Water Management District ([DBHYDRO](https://www.sfwmd.gov/science-data/dbhydro))  Miami-Dade Department of Environmental Resources Management via
 [FDEP STORET/WIN](https://floridadep.gov/dear/watershed-services-program/content/winstoret) #### Slides * Slide deck - [HTML](http://swampthingecology.org/BBSEER_WQ/slides/BBSEER_WQEval.html) | [PDF](http://swampthingecology.org/BBSEER_WQ/slides/BBSEER_WQEval.pdf) | © Julian (2023) [![Creative Commons License](https://i.creativecommons.org/l/by/4.0/88x31.png)](http://creativecommons.org/licenses/by/4.0/) * RMarkdown [Source](https://github.com/SwampThingPaul/BBSEER_WQ/slides)
 Draft Work Product
In support of BBSEER planning


$C312/49938: Preserve drive number Jump from $D84C, $EE0D: C312: AD 78 02 LDA $0278 ; number of commas C315: 8D 77 02 STA $0277 ; save C318: A9 01 LDA #$01 C31A: 8D 78 02 STA $0278 ; number of drive numbers C31D: 8D 79 02 STA $0279 Jump from $C826, $C90F, $CA88, $DA9B: C320: AC 8E 02 LDY $028E ; last drive number C323: A2 00 LDX #$00 Jump from $C339: C325: 86 D3 STX $D3 C327: BD 7A 02 LDA $027A,X ; position of the colon C32A: 20 3C C3 JSR $C33C ; get drive number before colon C32D: A6 D3 LDX $D3 C32F: 9D 7A 02 STA $027A,X ; save exact position C332: 98 TYA C333: 95 E2 STA $E2,X ; drive number in table C335: E8 INX C336: EC 78 02 CPX $0278 ; got all drive numbers? C339: 90 EA BCC $C325 ; no, continue C33B: 60 RTS Previous Page / Next Page


Contribute to PaddlePaddle¶
We sincerely appreciate your contributions. You can use fork and pull request workflow to merge your code.
Code Requirements¶
- Your code must be fully documented by doxygen style.
- Make sure the compiler option WITH_STYLE_CHECK is on and the compiler passes the code style check.
- All code must have unit test.
- Pass all unit tests.
The following tutorial guides you into submitting your contibution.
Creating a Fork¶
Just head over to the GitHub page and click the “Fork” button. It’s just that simple.
Clone¶
Paddle is currently using git-flow branching model. The develop is the main branch, and other user’s branches are feature branches.
Once you’ve created a fork, you can use your favorite git client to clone your repo or just head straight to the command line:
# Clone your fork to your local machine
git clone --branch develop https://github.com/USERNAME/Paddle.git
If your repository doesn’t contain develop branch, just create it by your own.
git clone https://github.com/USERNAME/Paddle.git Paddle
cd Paddle
git checkout -b develop # create develop branch.
git remote add upstream https://github.com/baidu/Paddle.git # add upstream to baidu/Paddle
git pull upstream develop # update to upstream
Then you can start to develop by making a local developement branch
git checkout -b MY_COOL_STUFF_BRANCH
Commit¶
Commit your changes by following command lines:
# show the working tree status
git status
# add modified files
git add xx
env EDITOR=vim git commit # You can write your comments by vim/nano/emacs.
The first line of commit infomation is the title. The second and later lines are the details if any.
Keeping Fork Up to Date¶
Before pull your request, you should sync your code from the latest PaddlePaddle. To do this, you’ll need to add a remote at first:
# see the current configured remote repository
git remote -v
# add upstream repository
git remote add upstream https://github.com/baidu/Paddle.git
# verify the new upstream
git remote -v
Update your fork with the latest upstream changes:
git pull --rebase upstream develop
If there are no unique commits locally, git will simply perform a fast-forward. However, if you have been making changes (in the vast majority of cases you probably shouldn’t be), you may have to deal with conflicts.
Now, your local master branch is up-to-date with everything modified upstream.
Push to GitHub¶
# push to your repository in Github
git push -u origin MY_COOL_STUFF_BRANCH # create remote branch MY_COOL_STUFF_BRANCH to origin.
Pull Request¶
Go to the page for your fork on GitHub, select your development branch, and click the pull request button.
Update your pull request with the lastest version¶
During the code review, your pull request may become stale because new commits in baidu/Paddle. GitHub allows autmotic update if there is no conflict. You can do this by clicking the “Update Branch” button in your pull request page. However, in the case of conflict, you need to do the update manually. You need to do the following on your local repository:
git checkout MY_COOL_STUFF_BRANCH
git pull upstream develop
# You may need to resolve the conflict according to the git prompt.
# Make and test your code.
git push origin MY_COOL_STUFF_BRANCH
Now your Pull Request is updated with the latest version.
Revise your pull request¶
When you revise your pull request according to reviewer’s comments, please use ‘git commit’ instead of ‘git commit –amend’ to commit your changes so that the reviewers can see the difference between the new pull requrest and the old pull request.
The possible commands are
git checkout MY_COOL_STUFF_BRANCH
git pull upstream develop # update local to newest code base.
# May be some conflicts will occured.
# And develop your cool stuff
env EDITOR=vim git commit # add your revise log
git push origin MY_COOL_STUFF_BRANCH


. This file is part of the OpenDSA eTextbook project. See .. http://algoviz.org/OpenDSA for more details. .. Copyright (c) 2012-2016 by the OpenDSA Project Contributors, and .. distributed under an MIT open source license.
1.1. Binary Search Trees¶
Tree structures enable efficient access and efficient update to large collections of data. Binary trees in particular are widely used and relatively easy to implement. But binary trees are useful for many things besides searching. Just a few examples of applications that trees can speed up include prioritizing jobs , describing mathematical expressions and the syntactic elements of computer programs, or organizing the information needed to drive data compression algorithms .
This chapter covers terminology used for discussing binary trees, tree traversals, approaches to implementing tree nodes, and various examples of binary trees.
1.1.1. Binary Search Tree Definition¶
A binary search tree (BST) is a binary tree that conforms to the following condition, known as the binary search tree property. All nodes stored in the left subtree of a node whose key value is \(K\) have key values less than or equal to \(K\). All nodes stored in the right subtree of a node whose key value is \(K\) have key values greater than \(K\). Figure 1.1.1 shows two BSTs for a collection of values. One consequence of the binary search tree property is that if the BST nodes are printed using an inorder traversal , then the resulting enumeration will be in sorted order from lowest to highest.
Here is a class declaration for the BST.
Recall that there are various ways to deal with
keys and
comparing records
Three typical approaches are key-value pairs,
a special comparison method such as using the Comparator
class,
and passing in a comparator function.
Our BST implementation will require that records implement the
Comparable
interface.
// Binary Search Tree implementation
class BST<E extends Comparable<E>> {
private BSTNode<E> root; // Root of the BST
private int nodecount; // Number of nodes in the BST
// constructor
BST() { root = null; nodecount = 0; }
// Reinitialize tree
public void clear() { root = null; nodecount = 0; }
// Insert a record into the tree.
// Records can be anything, but they must be Comparable
// e: The record to insert.
public void insert(E e) {
root = inserthelp(root, e);
nodecount++;
}
// Remove a record from the tree
// key: The key value of record to remove
// Returns the record removed, null if there is none.
public E remove(E key) {
E temp = findhelp(root, key); // First find it
if (temp != null) {
root = removehelp(root, key); // Now remove it
nodecount--;
}
return temp;
}
// Return the record with key value k, null if none exists
// key: The key value to find
public E find(E key) { return findhelp(root, key); }
// Return the number of records in the dictionary
public int size() { return nodecount; }
// Binary Search Tree implementation
class BST {
private BSTNode root; // Root of the BST
private int nodecount; // Number of nodes in the BST
// constructor
BST() { root = null; nodecount = 0; }
// Reinitialize tree
void clear() { root = null; nodecount = 0; }
// Insert a record into the tree.
// Records can be anything, but they must be Comparable
// e: The record to insert.
void insert(Comparable e) {
root = inserthelp(root, e);
nodecount++;
}
// Remove a record from the tree
// k: The key value of record to remove
// Returns the record removed, null if there is none.
Comparable remove(Comparable k) {
Comparable temp = findhelp(root, k); // First find it
if (temp != null) {
root = removehelp(root, k); // Now remove it
nodecount--;
}
return temp;
}
// Return the record with key value k, null if none exists
// k: The key value to find
Comparable find(Comparable k) { return findhelp(root, k); }
// Return the number of records in the dictionary
int size() { return nodecount; }
// Binary Search Tree implementation
class BST {
private BSTNode root; // Root of the BST
private int nodecount; // Number of nodes in the BST
// constructor
BST() { root = null; nodecount = 0; }
// Reinitialize tree
public void clear() { root = null; nodecount = 0; }
// Insert a record into the tree.
// Records can be anything, but they must be Comparable
// e: The record to insert.
public void insert(Comparable e) {
root = inserthelp(root, e);
nodecount++;
}
// Remove a record from the tree
// key: The key value of record to remove
// Returns the record removed, null if there is none.
public Comparable remove(Comparable key) {
Comparable temp = findhelp(root, key); // First find it
if (temp != null) {
root = removehelp(root, key); // Now remove it
nodecount--;
}
return temp;
}
// Return the record with key value k, null if none exists
// key: The key value to find
public Comparable find(Comparable key) { return findhelp(root, key); }
// Return the number of records in the dictionary
public int size() { return nodecount; }
1.1.2. Insertion¶
Lets Take a look at the process of inserting a new node into a Binary Search Tree Here we can see a slide show with the recursive insertion of into a binary tree.
Note that, except for the last node in the path, inserthelp will not actually change the child pointer for any of the nodes that are visited. In that sense, many of the assignments seem redundant. However, the cost of these additional assignments is worth paying to keep the insertion process simple. The alternative is to check if a given assignment is necessary, which is probably more expensive than the assignment!
We have to decide what to do when the node that we want to insert has a key value equal to the key of some node already in the tree. If during insert we find a node that duplicates the key value to be inserted, then we have two options. If the application does not allow nodes with equal keys, then this insertion should be treated as an error (or ignored). If duplicate keys are allowed, our convention will be to insert the duplicate in the left subtree.
The shape of a BST depends on the order in which elements are inserted. A new element is added to the BST as a new leaf node, potentially increasing the depth of the tree. Figure 11.11.1 illustrates two BSTs for a collection of values. It is possible for the BST containing nn nodes to be a chain of nodes with height nn. This would happen if, for example, all elements were inserted in sorted order. In general, it is preferable for a BST to be as shallow as possible. This keeps the average cost of a BST operation low.
This is a practice module on how to insert a given node into a binary search tree.
This next practice module will do the same as the one above, but now you must read the algorithm to know what kind on insert is being done.
1.1.3. Creation¶
1.1.4. Find¶
The first operation that we will look at in detail will find the record that matches a given key. Notice that in the BST class, public member function find calls private member function findhelp. Method find takes the search key as an explicit parameter and its BST as an implicit parameter, and returns the record that matches the key. However, the find operation is most easily implemented as a recursive function whose parameters are the root of a subtree and the search key. Member findhelp has the desired form for this recursive subroutine and is implemented as follows.
1.1.5. Remove¶
Removing a node from a BST is a bit trickier than inserting a node, but it is not complicated if all of the possible cases are considered individually. Before tackling the general node removal process, we will first see how to remove from a given subtree the node with the largest key value. This routine will be used later by the general node removal function.
The return value of the deletemax
method is the subtree of
the current node with the maximum-valued node in the subtree removed.
Similar to the inserthelp
method, each node on the path back to
the root has its right child pointer reassigned to the subtree
resulting from its call to the deletemax
method.
A useful companion method is getmax
which returns a
pointer to the node containing the maximum value in the subtree.
// Get the maximum valued element in a subtree
private BSTNode<E> getmax(BSTNode<E> rt) {
if (rt.right() == null) return rt;
return getmax(rt.right());
}
// Get the maximum valued element in a subtree
private BSTNode getmax(BSTNode rt) {
if (rt.right() == null) return rt;
return getmax(rt.right());
}
// Get the maximum valued element in a subtree
private BSTNode getmax(BSTNode rt) {
if (rt.right() == null) return rt;
return getmax(rt.right());
}
Now we are ready for the removehelp
method.
Removing a node with given key value \(R\) from the BST
requires that we first find \(R\) and then remove it from the
tree.
So, the first part of the remove operation is a search to find
\(R\).
Once \(R\) is found, there are several possibilities.
If \(R\) has no children, then \(R\)'s parent has its
pointer set to NULL.
If \(R\) has one child, then \(R\)'s parent has
its pointer set to \(R\)'s child (similar to deletemax
).
The problem comes if \(R\) has two children.
One simple approach, though expensive, is to set \(R\)'s parent to
point to one of \(R\)'s subtrees, and then reinsert the remaining
subtree's nodes one at a time.
A better alternative is to find a value in one of the
subtrees that can replace the value in \(R\).
Thus, the question becomes: Which value can substitute for the one being removed? It cannot be any arbitrary value, because we must preserve the BST property without making major changes to the structure of the tree. Which value is most like the one being removed? The answer is the least key value greater than the one being removed, or else the greatest key value less than (or equal to) the one being removed. If either of these values replace the one being removed, then the BST property is maintained.
When duplicate node values do not appear in the tree, it makes no difference whether the replacement is the greatest value from the left subtree or the least value from the right subtree. If duplicates are stored in the left subtree, then we must select the replacement from the left subtree. [1] To see why, call the least value in the right subtree \(L\). If multiple nodes in the right subtree have value \(L\), selecting \(L\) as the replacement value for the root of the subtree will result in a tree with equal values to the right of the node now containing \(L\). Selecting the greatest value from the left subtree does not have a similar problem, because it does not violate the Binary Search Tree Property if equal values appear in the left subtree.
| [1] | Alternatively, if we prefer to store duplicate values in the right subtree, then we must replace a deleted node with the least value from its right subtree. |


Mahalo! My name is Alanté Powell; I am commonly known as Alan. I was born in Sacramento, California on April 8th, 1997. After a couple of exciting years,
I spent the next 8 years of my life in Orlando, Florida, until finally arriving in Atlanta. I attended Roswell High School, and shortly after graduation attended Harvard College to obtain a Linux
certification; it was then that I found my passion for Computer Science, more specifically, full-stack web development.
I currently am a Bacehlor of Science student at Georgia State University
in downtown Atlanta pursuing a Computer Science degree. Admittedly, I am quite the character and I enjoy that I am known to be "the life of the party". I am a firm believer in life being too short
to dwell on the negative things, instead, as my mother would say: "Figure out the problem and solve it; if you cannot solve the problem, it is not your problem to solve". Ok, enough, have a scroll
to learn more about the professional side of me. Oh! Have a good day!
Alanté Devon Powell
Georgia State University
B.S. Computer Science
Any and every website has the potential to be impactful. The secret is the technique in the design. I pride myself on taking special time to ensure that every aspect of a website means something and is not just there to "fill space". A wesbite should make a user experience something, I would like to be a part of creating that experience for you.
I am well versed in: HTML5, CSS3, JS, Flask (Python), SQL, SCSS, and Bootstrap. When developing a website, I enjoy utilizing Python's Flask framework most. At heart, I am a programmer; Python's Flask allows me to incorporate front-end as well as back-end development into one project. Meaning, while creating the markup for the website, any related databases, forms, queries, and data extraction your website may need is suddenly possible.
In the genesis of my degree at Georgia State University, I became well-versed in Java. My exeprience with Java then evolved into Python where I felt like "home" with regard to programming. I began with Python 2, and although subtle changes, pursued the transition into Python 3.0. Feel free to browse a few of my projects in the portfolio section.
Lorem ipsum dolor sit, amet consectetur adipisicing elit. Nisi, totam provident sunt nostrum corporis culpa mollitia in quia ad placeat.
View DetailsLorem ipsum dolor sit, amet consectetur adipisicing elit. Nisi, totam provident sunt nostrum corporis culpa mollitia in quia ad placeat.
View DetailsLorem ipsum dolor sit, amet consectetur adipisicing elit. Nisi, totam provident sunt nostrum corporis culpa mollitia in quia ad placeat.
View DetailsAs a Mac+ Advisor, in addition to the duties of an iOS advisor handling issues with iOS, watchOS, iPadOS, iCloud, and AppleID, I am responsible for providing customers support over the phone for their macOS devices. Current business trends include: Updating to macOS Catalina, data backup and recovery, peripheral driver updates, performing iCloud and iTunes Backups and restores for iOS devices, as well as watchOS devices. In addition, I am responsible for supporting customers that may have Tier-1 related issues with regard to iTunes store related issues.
My role as an iOS Advisor included: supporting customers over the phone with various software-related issues they may have encountered with their iOS devices. In addition to isolating the issue, I was responsible for executing troubleshooting steps to drastically decrease the chances of the issue occurring again in the future. In addition to iOS devices, I also supported watchOS, iPadOS, as well as iCloud and Apple ID related issues, transforming every customer from a customer to a partner.
During my time at SMA Resource Technology, I performed Desktop Support duties including: running diagnostic tests on company computers, installing/uninstalling software, updating drivers, keeping all company computers running the latest versions of Windows and macOS operating Systems (including mobile devices and tablets), setting up peripheral devices, and developing the SMA Resource Technology mobile application. It was my job to provide users with comprehensible support with various company technologies, both in the building and remote.


- MOBYCABS respects your privacy and recognizes the need to protect the personal information (such as name, address, and telephone number) you share with us. We would like to assure you that we follow appropriate standards when it comes to protecting your privacy on our websites.
- MOBYCABS does not sell or trade upon any of the above information without the consent of the user or customer. The information collected from the users/customers/travellers is put to the following use:
- Customer name, address, phone number, traveller's name and age are used for the purpose of reservation and booking the services for the customer/traveller.
- Information like Credit Card Details and Net Banking Details are usually collected directly by the payment gateways and banks and not by MOBYCABS, but if ever stored or retained by us, remain internal and is never shared, except that they may be shared with third party private/government security agencies to screen for fraudulent activities. These details are also shared with certain third parties only for the purpose of processing 'Cash Back & Discounts' and Charge Backs, if applicable.
- Information like Mobile no, e-mail address and postal address may be used for promotional purposes, unless the customer/user "opts-out" of such use. If you choose not to share this information, you can still visit the MOBYCABS website, but you may be unable to access certain options, offers and services
- MOBYCABS takes appropriate steps to protect the information you share with us. We have implemented technology and security features and strict policy guidelines to safeguard the privacy of your personally identifiable information from unauthorized access and improper use or disclosure. Please contact us on<EMAIL_ADDRESS>for any queries.


The National Science Foundation
Rochester Institute of Technology
Research Experiences for Undergraduates in Computational Sensing
Activities
- Career-oriented workshops
- Non-credit course Toward Graduate Studies
- Computational sensing journal club
- Social events and team-building activities
- Structured feedback activities with the faculty team
- Participation in the RIT Undergraduate Research Symposium
- Post-program continued research guidance
Computational Sensing REU (2016-2018) Rochester Institute of Technology
Primary contact: Cecilia Ovesdotter Alm<EMAIL_ADDRESS>(585) 475-7327
Secondary contact: Reynold Bailey<EMAIL_ADDRESS>(585) 475-6181
This material is based upon work supported by the National Science Foundation under Award No. IIS‐1559889.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


Django (/ˈdʒæŋɡoʊ/ JANG-goh)[5] is a free and open-source web framework, written in Python, which follows the model-view-template (MVT) architectural pattern. It is maintained by the Django Software Foundation (DSF), an independent organization established as a 501(c)(3) non-profit. Django's primary goal is to ease the creation of complex, database-driven websites. Django emphasizes reusability and "pluggability" of components, less code, low coupling, rapid development, and the principle of don't repeat yourself. Python is used throughout, even for settings files and data models. Django also provides an optional administrative create, read, update and delete interface that is generated dynamically through introspection and configured via admin models.
Some well-known sites that use Django include the Public Broadcasting Service,Instagram,Mozilla,The Washington Times, Disqus,Bitbucket, and Nextdoor. It was used on Pinterest,but later the site moved to a framework built over Flask.
With Django, you can take Web applications from concept to launch in a matter of hours. Django takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.
- Ridiculously fast
- Fully loaded
- Reassuringly secure
- Exceedingly scalable
- Incredibly versatile
Django was designed to help developers take applications from concept to completion as quickly as possible.
Django includes dozens of extras you can use to handle common Web development tasks. Django takes care of user authentication, content administration, site maps, RSS feeds, and many more tasks — right out of the box.
Django takes security seriously and helps developers avoid many common security mistakes, such as SQL injection, cross-site scripting, cross-site request forgery and clickjacking. Its user authentication system provides a secure way to manage user accounts and passwords
Some of the busiest sites on the planet use Django’s ability to quickly and flexibly scale to meet the heaviest traffic demands
All it takes
$pip install django
Install pip. The easiest is to use the standalone pip installer. If your distribution already has pip installed, you might need to update it if it’s outdated. If it’s outdated, you’ll know because installation won’t work.
Take a look at virtualenv and virtualenvwrapper. These tools provide isolated Python environments, which are more practical than installing packages systemwide. They also allow installing packages without administrator privileges.
$ [sudo] pip install virtualenv
After you’ve created and activated a virtual environment, enter the command pip install Django
at the shell prompt.


Id: 228
Name: Mohawk Guy
Status: Dead
Species: Human
Type:
Gender: Male
OriginName: Post-Apocalyptic Earth
OriginUrl: https://rickandmortyapi.com/api/location/8
LocationName: Post-Apocalyptic Earth
LocationUrl: https://rickandmortyapi.com/api/location/8
Image: https://rickandmortyapi.com/api/character/avatar/228.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/23']
Url: https://rickandmortyapi.com/api/character/228
Created: 2017-12-30T16:10:03.881Z


public class EquivalentStressComparisonInput
extends java.lang.Object
| Constructor and Description |
|---|
EquivalentStressComparisonInput() |
| Modifier and Type | Method and Description |
|---|---|
void |
addEquivalentStress(SpectrumItem stress)
Adds equivalent stress.
|
java.util.ArrayList<SpectrumItem> |
getEquivalentStresses()
Returns the equivalent stresses to compare.
|
boolean |
getIncludeEID()
Returns true if the element ID should be included in the equivalent stress comparison.
|
boolean |
getIncludeMaterialName()
Returns true if the material name should be included in the equivalent stress comparison.
|
boolean |
getIncludeMission()
Returns true if the fatigue mission should be included in the equivalent stress comparison.
|
boolean |
getIncludeOmissionLevel()
Returns true if the omission level should be included in the equivalent stress comparison.
|
boolean |
getIncludeProgram()
Returns true if the A/C program should be included in the equivalent stress comparison.
|
boolean |
getIncludeSection()
Returns true if the A/C section should be included in the equivalent stress comparison.
|
boolean |
getIncludeSequenceName()
Returns true if the stress sequence name should be included in the equivalent stress comparison.
|
boolean |
getIncludeSpectrumName()
Returns true if the spectrum name should be included in the equivalent stress comparison.
|
boolean |
getIncludeSTFName()
Returns true if the STF file name should be included in the equivalent stress comparison.
|
boolean |
getLabelDisplay()
Returns true if data labels are shown.
|
java.lang.String |
getMissionParameterName()
Returns mission parameter name.
|
void |
setIncludeEID(boolean includeEID)
Sets whether the element ID should be included in the equivalent stress comparison.
|
void |
setIncludeMaterialName(boolean includeMaterialName)
Sets whether the material name should be included in the equivalent stress comparison.
|
void |
setIncludeMission(boolean includeMission)
Sets whether the fatigue mission should be included in the equivalent stress comparison.
|
void |
setIncludeOmissionLevel(boolean includeOmissionLevel)
Sets whether the omission level should be included in the equivalent stress comparison.
|
void |
setIncludeProgram(boolean includeProgram)
Sets whether the A/C program should be included in the equivalent stress comparison.
|
void |
setIncludeSection(boolean includeSection)
Sets whether the A/C section should be included in the equivalent stress comparison.
|
void |
setIncludeSequenceName(boolean includeSequenceName)
Sets whether the stress sequence name should be included in the equivalent stress comparison.
|
void |
setIncludeSpectrumName(boolean includeSpectrumName)
Sets whether the spectrum name should be included in the equivalent stress comparison.
|
void |
setIncludeSTFName(boolean includeSTFName)
Sets whether the STF file name should be included in the equivalent stress comparison.
|
void |
setLabelDisplay(boolean showLabels)
Sets label display option.
|
void |
setMissionParameterName(java.lang.String name)
Sets mission parameter name.
|
public void addEquivalentStress(SpectrumItem stress)
stress
- Equivalent stress to add.public void setMissionParameterName(java.lang.String name)
name
- Mission parameter name.public void setLabelDisplay(boolean showLabels)
showLabels
- True to show labels.public void setIncludeSpectrumName(boolean includeSpectrumName)
includeSpectrumName
- True to include spectrum name.public void setIncludeSTFName(boolean includeSTFName)
includeSTFName
- True to include STF file name.public void setIncludeSequenceName(boolean includeSequenceName)
includeSequenceName
- True to include stress sequence name.public void setIncludeEID(boolean includeEID)
includeEID
- True to include element ID.public void setIncludeMaterialName(boolean includeMaterialName)
includeMaterialName
- True to include material name.public void setIncludeOmissionLevel(boolean includeOmissionLevel)
includeOmissionLevel
- True to include omission level.public void setIncludeProgram(boolean includeProgram)
includeProgram
- True to include A/C program.public void setIncludeSection(boolean includeSection)
includeSection
- True to include A/C section.public void setIncludeMission(boolean includeMission)
includeMission
- True to include fatigue mission.public java.util.ArrayList<SpectrumItem> getEquivalentStresses()
public java.lang.String getMissionParameterName()
public boolean getLabelDisplay()
public boolean getIncludeSpectrumName()
public boolean getIncludeSTFName()
public boolean getIncludeSequenceName()
public boolean getIncludeEID()
public boolean getIncludeMaterialName()
public boolean getIncludeOmissionLevel()
public boolean getIncludeProgram()
public boolean getIncludeSection()
public boolean getIncludeMission()


Cats don't actually meow at each other, just at humans. Cats typically will spit, purr, and hiss at other cats.
The domestic cat is a small, typically furry, carnivorous mammal. They are often called house cats when kept as indoor pets or simply cats when there is no need to distinguish them from other felids and felines. Cats are often valued by humans for companionship and for their ability to hunt vermin. There are more than 70 cat breeds, though different associations proclaim different numbers according to their standards.


Contents
Overview - Details general NPC information.
NPC Listing (IDs and Movie Clips) - Lists all the NPCs in the game.
Sound IDs - Lists the available Sound IDs for NPCs.
Text - Details about the text system for NPCs.
Alt. Text - Details about the alternate text system.
Adding NPCs - Explains how to add NPCs to the game.
Remarks - General and misc. information.
Overview
Location in the unpacked data: data\npcs.txt
The NPCs file dictates information regarding all the available NPCs in the game; it defines the traits of each NPC: sound, graphics, text, and all of the aspects that make the different NPCs unique and interesting.
Here is an example of the syntax of one NPC taken from the file (NPC0):
01 NPC0 {
02 #basic sideways
03 movieclip NPC0
04 sound_id NPCSkull
05 text [
06 "oh \n . . . \n its you. . ."
07 "must be nice \n being alive \nn’ all that"
08 "when i died \n that tumor wiggled out"
09 "it’s been floating \n up there for years \n watching me"
10 "please\n dont take it. . . \n its all i have left"
11 ]
12 }
Whilst this may seem complex, the syntax for an NPC can be broken down and represented as the following:
1 [NPC_ID] {
2 moviclip [VALUE]
2 sound_id [VALUE]
4 text [
5 "[VALUE]"
6 ...
7 ]
8 }
The # followed by text, in the example, is simply a comment and not interpreted/read by the game itself, hence why it was not added in the simplified syntax breakdown. These comments have been added to all the NPCs in the "npcs.txt" file to allow for more readability.
So, overall, the "npcs.txt" file simply stores a series of NPCS and their properties, that can be placed into the game for the player to interact with. Read on for more information on each of these variables, as well as how to add/modify NPCs.
NPC Listing (IDs and Movie Clips)
A graphical list displaying all of the NPCs within the game. With their appropriate NPC IDs (the values used to set NPCs in the Tilesets file) below them, these values also double-up as being the names used to reference the particular movie_clip (graphic/sprite) that an NPC is given. Remember that variables and their values are case-sensitive, in the case of NPCs all of the IDs are fully capitalised, no lower-case.
Skeletons |
|||||
|---|---|---|---|---|---|
NPC0 |
NPC1 |
NPC2 |
NPC3 |
NPC4 |
NPC5 |
NPC6 |
NPC7 |
NPC8 |
NPC9 |
NPC10 |
NPC11 |
NPC12 |
NPC13 |
NPC14 |
NPC15 |
NPC16 |
NPC17 |
Light Blobs |
||||||
|---|---|---|---|---|---|---|
NPCB1 |
NPCB2 |
NPCB3 |
NPCB4 |
NPCB5 |
NPCB6 |
NPCB7 |
Ghosts |
||||||
|---|---|---|---|---|---|---|
NPCG1 |
NPCG2 |
NPCG3 |
NPCG4 |
NPCG5 |
NPCG6 |
NPCG7 |
Dark Blobs |
||||||
|---|---|---|---|---|---|---|
NPCD1 |
NPCD2 |
NPCD3 |
NPCD4 |
NPCD5 |
NPCD6 |
NPCD7 |
Characters |
||||
|---|---|---|---|---|
NPCX1 |
NPCX2 |
NPCX3 |
NPCX4 |
NPCX5 |
Stevens |
||||||
|---|---|---|---|---|---|---|
NPCH1 |
NPCH2 |
NPCH3 |
NPCH4 |
As well as the NPC movie clips listed above, NPCs can also be assigned any of the alternate art values as their movie_clip value. For a full listing on the available movie clips that can be used, see the Art Alts. section.
Sound IDs
The sound_id variable is used to define the sound played when the NPC is spoken to and when text is advanced. The available sound IDs are as follows (the values in brackets mark what sound file each sound ID references):
NPCSkull (audio\sfx\skullnpc.wav)
NPCBlob (audio\sfx\squishnpc.wav)
NPCGhost (audio\sfx\ghostnpc.wav)
NPCIsaac (audio\sfx\isaacnpc.wav)
NPCStevenCameo (audio\sfx\stevenheadwarpnpc.wav)
NPCGish (audio\sfx\gishnpc.wav)
NPCGuppy (audio\sfx\catnpc.wav)
NPCAether (audio\sfx\aethernpc.wav)
NPCSteven (audio\sfx\stevennpc.wav)
New sounds can be created by modifying "mainsounds.txt" and "retrosounds.txt"; see the section Sounds for more information on creating new sounds.
Text
The text variable details what text will be displayed when the NPC is interacted with; there are certain formatting rules regarding this text that are quite important in ensuring that the NPC’s text works correctly and looks visually appealing. Below is some example text from an NPC that can be used to compare with what is being explained, to make it easier to understand:
01 text [
02 "when i used\n to hang off\n a wall"
03 "id pull\n out from it \nand then"
04 "id do a \n jump. . . and \n go like super far!"
05 "but when i \ndidn’t pull \noutwards"
06 "id mostly just \n go up higher"
07 "i call it the \npull out method"
08 "\n. . ."
09 "i made that \none up years \nago"
10 "i imagined it \nwould get more \nof a laugh"
11 "\n. . ."
12 "please \nleave me alone"
13 ]
Text is entirely contained within square brackets []. When writing text ensure that it is always wrapped inside these brackets or else the game may not interpret the text correctly -- or worse, crash.
Text is then split into different sections, each section is encased within quotes "". These sections define when a button-prompt will appear asking the player to advance the text, when the user presses the appropriate button the text will advance and begin scrolling through to the next section. It is important to reguarly split text into sections for easier reading.
Finally, a special type of character is used called a new-line \n, this character informs the game to start writing text on the next line, rather than being displayed itself. Once again, it is important to reguarly add new-lines so that the text does not clip outside of the text box; however, no more than three lines should be in any given text section, otherwise potential veritcal clipping may occur.
The text box itself can fit appoximately 22 characters on each line, however, this number will vary depending on the characters used due to the font having varying character widths.
Alt. Text
The alt_text variable is used and formatted in exactly the same way as the regular text variable. However, this variable is only used on the four Steven NPCs and acts as the alternate text to display when the appropriate number of tumors has been collected. Below is a list of how many tumors is needed to make each NPC trigger their alternate text (these amounts are hard-coded):
NPCH1 - 50 Tumors
NPCH2 - 100 Tumors
NPCH3 - 170 Tumors
NPCH4 - 300 Tumors
Furthermore, the addresses for the various tumor counts needed to trigger alternate text are as follows:
0x000E489D: 50
0x000E495C: 100
0x000E49A8: 170
0x000E4A3A: 300
Attempting to apply the alt_text variable to any other NPC will do nothing. Based on testing, it is apparent that the NPC IDs that react to alternate text are hard-coded into the game and will require executable hacking to modify. The addresses for the alternate text NPCs are as follows:
0x00231274: "NPCH1"
0x002312AC: "NPCH2"
0x002312B4: "NPCH3"
0x00231294: "NPCH4"
For more information on how to modify these values effectively, see the Executable Hacking section.
Adding NPCs
To add an NPC, the first thing that must be done is a new NPC entry must be made in the "npcs.txt" file. This can be written out by following the syntax given in the Overview section, or by copying an existing NPC entry and changing the values as neccessary. When making a new NPC ensure that its ID is completely unique from all the others, otherwise conflicts will occur. Then set all of its variables/properties appropriately, the information in the previous sections of this page can be used as a guide to help.
Once the NPC has had all of its information filled out, it must then be assigned to a specific NPC tile (Z1 - 3), using the "tilesets.txt" file. Locate the specific area tileset that you wish for the NPC to appear in and add in an npc_x variable, where x is a value between 1 and 3; this refers to which NPC tile will be used to place the NPC. An example excerpt from "The End" tileset, shwocasing the NPC definitions:
1 1 {
2 ...
3
4 npc_1 NPC0
5 npc_2 NPC1
6 npc_3 NPC2
7
8 ...
9 }
Once this is done, placing any one of the NPC tiles in a level using this tileset will spawn the new NPC.
For more detailed information on modifying tilesets using the "tilesets.txt" file, click here.
Remarks
Placing one of the NPC tiles (Z1 - 3) in a level with its value in the tileset being undefined or set to none will simply result in nothing appearing at the location. Fortunately the game will not crash or present any other kinds of abstract behaviour.
Setting the NPCs movieclip or sound_id variables to invalid values will result in the game crashing when the level containing the NPC is entered. Futhermore, not includng any of these fields, including text, will also cause a crash. However, if any of these problems occur, the game will display a helpful error message making debugging such as issue relatively easy.
Inclusion of the the text field but leaving it like so: text = [] will lead to the game crashing when the NPC is interacted with; no error message is supplied in such instances.