a lot of conventional wisdom about what it means to write beautiful code. a lot of blogs posts repeating best practices (clean code, software craftsmanship), constant re-appearance of structure vs. layout.
things that come back over and over:
but then there are disagreements:
really what this highlights is both some sort of common knowledge, based on practices and thinkers/mentors (“uncle bob”), but at the same time a diversity of communities of practices, and different levels of expertise, which ultimately results in different understandings.
he talks about a beautiful patch for a faster clocktime on illumos, a version of BSD. reached out to the author for explanation
. (he never replied)
he is working on a hadware counter monitor for FreeBSD and explains why this is beautiful code.
C
#define PMC_VERSION_MAJOR 0x03
#define PMC_VERSION_MINOR 0x00
#define PMC_VERSION_PATCH 0x00
names are significant, even more so in C/hw-level in which sometimes you have to deal with hex codes. (aesthetic is going against set practices, individual display of skill, for others -> the reader).
a bit later, he separates the variables that are machine-dependent, and variables that are machine-independent. this is the most important and effective categorization/labelling. (this constitutes a part of conceptual distancing)
and a final commentary on using C because drivers are written in C, but still remembering lessons and practices from other languages (i.e. data encapsulation in C++)
these are recommendations on reading Beautiful Code, Literate Programming.
the author states that ugliness is self-explanatory, but that beauty is elusive (they still don’t define ugliness).
his main argument is that of hamon, the wavy pattern on the edge of a japanese blade which indicates its quality. they see the same thing with code, there’s a pattern that’s an indicator of its quality.
this introduces the possibility of different scales at which we read code. a glance, a deep-dive, a spelunking. and also different timings (glancing first, then reading)
a series of excerpts from the knuth fan club. one interesting point is that Lit Programming is a paradigm, a sort of meta-text that goes on top. it’s a target. but is it still source code? does it qualify as a craft, or does it just move the craft to another layer, that of writing TeX docs? (which is def a fucking craft). however, while LP highlights the human reader more than the machine reader, i’d argue that the way that humans read source code is different from the way humans read books (i.e. you should be able to understand what the code does by reading/jumping to any part of it and yet you should be able to read it linearly without jumping back and forth: this multiple requirement of code-reading represents the multiple expected uses of code), and that there are techniques in source code which help understand the code better (conceptual distances, metaphors, separating concerns), and that those are poorly represented in LP. in fact, LP is efficient, but not elegant on the aesthetic level; because it abstracts the details, some of the beauty is lost.
(answers are listed by decreasing upvotes)
David Thornley: the one that uses the simpler and fewer ideas whilst doing the job correctly.
user21007: makes an analogy with architecture, but without going beyond “[…] And it is aesthetically pleasing”
Steven Evers: “All of the code is present, is required, and none of it requires explanation” (ideal goal? any code requires explanation, though.)
Mason Wheeler: “When it requires a lot of explanation like that, it’s not “beautiful code” it’s a “clever hack”.
asoundmove: adds “it must also subjectively feel perfect & light”
user21007 (as above): adds that if it’s self-explanatory, it must also be non-trivial. and it must take into account that it is maintainable, and in the right language. given that, hello, world!
, couldn’t be called beautiful; because the why and the how are actually already solved before even looking at it.
Macneil: “coding problems are about conceptualization, so beautiful code represents a remarkable conceptualization of the problem”, and a beautiful execution. (programming really is just the craft of ideas). “for instance, when a problem can be reduced to an existing problem, it gives us an insight into the nature of the problem itself.” (and elegance uses simple trucks to achieve difficult tasks). he concludes with quicksort
.
dsmicha: beautiful code can’t be attained because it implies conflicting interests. is it then about balance and compromise?
Chris Cudmore: compares beautiful code to beautiful math proofs.
tp1: talks about behaviour than actual writing
guidhouse: states they’re a craftsman
paul d. waite: it’s beautiful when it’s readable.
fortran: you should be able to read it like a book. page after page, without skipping ahead or skipping back to understand the current page.
Erik Reppen: compares it to efficient vs. sloppy bureaucracy
Pierre Chapuis: states that it is simplicity, and quotes David Gelernter—”Beauty is more important in computing than anywhere else in technology because software is so complicated. Beauty is the ultimate defence against complexity.”—as the CS who thought most about the beauty of code.
David Seidman: makes a difference between simple (organization) and simply written (naming, structures, etc.), then lists the usual suspects, and then adds does something interesting (aka a login page couldn’t be nice). i’m not sure about login pages not being nice, but it says something about ingenuity, craftsmanship.
Brian Schmitz: the python one-liner that makes use of decorators
.
python
@lru_cache(3)
def fib(n):
return n if n < 2 else fib(n - 1) + fib(n - 2)
after a lengthy, technical explainer, he concludes in saying that “the beauty here is the power of a single line of code” (emphasis my own)
Christian Baune: gives thorough code examples, demonstrating that naive approaches can be the most optimal. in the end, beautiful code is:
Bill C. Reimers: makes the point that what is considered beautiful depends on the data context (adding 10 positive ints, vs. adding all ints between -10^38 to 10^38). his point is that “When you come up with code that is both simple and accurately computes the results, then you have something beautiful.”, followed by the conclusion that, depending on the usage, it’s about divide and conquer
Lucas Wiman: difference between two attemps of solving sudoku (norvig vs. ron jeffries). the first one displays a keen understanding of both the problem and the tools. referenced here
Alexey Spizhevoy: the balance between easiness (to read, maintain) and smart ideas, originality. he refers to Zen and The Art of Motorcycle Maintenance (craft)
John Rainey: quoting his college prof, “elegant code provides the simplest solution to a problem”
Mario Hines: gives an example, but doesn’t say why.

Mark Roberts: it’s not about the what that the comments describe, but the why that they describe (business requirements, problem domain). indeed, for the first case, correct names can take care of the what comments.
Cornel Masson: “fluid interfaces that make it read like natural languages”
Nabarun Mondal: gives an example of beautiful code, but prefaces it with “Oh, and if you understand predicate logic, this is cake walk.”, which touches directly upon issues of understanding and requirements.
James Liu (here): code that everyone can appreciate (i.e. read), disregarding their level of expertise
Peat Bakke: beautiful code enlightens the person reading it. “when you read a bit of code that makes you go “ah hah!” … That is beautiful code.”
“beauty is conferred by simplicity and architectural coherence, which go hand in hand with functional precision and creativity applied to the problem”. simplicity, because there is a (at-least) linear relationship between number of lines of code and amount to be understood. but even that isn’t certain (cf. one liners). rather, it is the amount of tokens that need to be reduced (semantic elements).
no two people will write exactly the same code: voice of the programmers.
quote of knuth to explore further: “computer programming is an art, because it applies accumulated knowledge to the world”
“The visual appearance of well-formatted code is strongly associated with its quality and many programmers who take pride in their work, derive great satisfaction from polishing it, as they realise that a programmer is remembered for their style and discipline and very rarely for the code itself.”
he calls small enough functions “pure” functions
follows bob martin (Clean Code) a lot. following this idea of software craftsmanship, describes two components necessary to it: knowledge (heuristics, patterns, principles) and work (the embodided component). it’s all about practice.
the name of a variable/function should answer: why it exists, what it does, and how it is used. this requires descriptive/syntactical skills but also a shared cultural background.
“master programmers think of functions as stories to be told rather than code to be written” > but to what extent is that a fantasy? is it confirmed anywhere? by yukihiro matsumoto, i guess.
cleanly formatted code is a matter of presentation, of communication, of reputation
addresses code clarity as the goal.
```C void SomeMethod(){ if(x != y){ //– stuff } }
void SomeClearerMethod(){ if(x == y) return;
//-- do stuff } ```
TOTHINK
)there are standard answers (usual suspects), but he puts the emphasis on “background experience levels”. the experienced programmer bypasses syntax for semantics, while the beginner programmer focuses on syntax. (here: goodman). the essential example is the ternary operator.
also states that the languages constrain your means of expression (they have an upper-limit, but is that upper-limit)
“What we really need to focus on now is programming languages with small vocabularies that can be easily understood and learned, even though they might not be as expressive as more complicated languages.” -> processing language
comments:
informatimago: prog languages are different in that you are constantly redefining the language.
tz1: variable name length should also hint at the importance (hierarchy) of the variable
Spudley: actually, breaking down into smaller functions doesn’t make it more readable, but it makes it more re-usable. there’s a difference between reading to understand, and understanding to act.
rph: Also I don’t agree that large grammars are worth their expressiveness. Firstly, I think languages, like C, with small grammars can still be sufficiently expressive. Sometimes, a large grammar doesn’t really give you the ability to express more types of things. It gives you the ability to express the same thing in multiple ways. I like to contrast Perl and Python in this respect. I can’t stand reading other’s Perl code because it usually uses a style I’m not accustomed to. Python is just as expressive but there’s usually an obvious way to express an algorithm, making it universal, Languages like, C++, with large grammars, are extremely hard to read and it has contributed to developer’s all adopting their own styles, much like natural languages have different dialects and lingoes. How do programming teams solve this problem? They adopt coding guidelines that restrict the developers to a subset of the language’s grammar.
Tamas Rev (related to above): lower level languages express more in terms of computers, and higer level languages express more in terms of humans.
(justly) complaining about lack of beauty and familiarity in most of the authors examples, and compares it to explaining poetry in a foreign language. he then goes on to say that what matters is the architecture, the design of the code (in sennett’s terms, still separating the hand from the head)
“focusing on the code is like focusing on the brushstrokes, pigments of the mona lisa”. but i think the discourses around the mona lisa are already established, and already reveal things about our humanity. it is the discourses around the making of the mona lisa that need to catch up.
justinC: highlight that (3…6).each { |num| puts num }
is elegant
Jheriko: *dst = *src; while(++*dst = ++*src);
is ugly
about the strict, compiler-level enforcment of coding styles (number of spaces, etc.). he seems excited by the prospect of no more style wars, but to what extent is the “style war” an essential part of the practice?
implied: whitespaces do matter (cause that’s what a lot of styles are about amyways, and whitespaces make things clearer or more confusing, especially in FORTRAN
, cause it has columns-as-whitespace)
a manifesto of sorts, tying even further the idea of craftmanship
with anecdote about MS source code: the expletives in the MS source code, that attest to the very reality of making something in groups.
definition of beauty: that which pleases the senses, but which pleases the beholder’s senses. then he immediately acknowledges that comprehension is first and foremost (both a priori and a posteriori).
in any case, beautiful code will be readable.
like playing an instrument, there is personality and soul in coding.
so, professionally, where does commercial responsibility end, and artistic license begin?
how do you define good code? maintainability, efficiency, elegance (simple, proper use of language constructs)
the holy grail of self-documenting code!
quotes this post from microsoft on what good code is.
“Elegance combines simplicity, efficiency, and brilliance, and produces a feeling of pride. Elegance is when you replace a procedure with a table, or realize that you can use recursion—which is almost always elegant”
and then he gives the example of fibonacci
, so i’d need to investigate if fibonacci is elegant on its own, or if it’s a playground for elegance. (a couple of months later: nah. there are definitely ugly implementations of fibonacci)
Clarity of code. Clarity of design. Clarity of purpose. (related to the differrent scales of appreciation)
and, sure, you can do clever hacks, but they need to be clever to be justified.
but really, good code is balance.
because python is praised for readability, it has (needs?) idioms, and they’re all illustrated with code:
nouns for classes, verbs for functions
email.addSignature() > addSignature(email)
)dry
never commit commented code (why?)
programmer happiness above all else… “doing programming because I fell in love with it as a mode of intellectual exercise and expression”
convention over configuration
ruby/rails looks like domain-specific language (like it’s speaking the language of the problem)
subtlety, flow and focus in: if people.include? person
vs. if person.in? people
expressing ideas, what we want to say is as close to the truth as possible.
EXPLICITNESS is valuable
use blank lines sparingly inside function definitions to show clear steps (like sennett’s “decisive moment”)
“Well-written code is a work of art. Always has been, always will be. A programmer pulls a thought pretty much out of nowhere and transforms it into a working idea that can be used by others. It’s abstract expression made real”
COBOL is forcing layout through its division/section/paragraph/statement/character
also considered “natural-language” expressive: the author says it’s similar to chai
in nodeJS
Code should be locally coherent and single-functioned: One function should do exactly one thing. It should be clear about what it’s doing.
Local code should explain, or at least hint at the overall system design.
Self documenting
The const rule, and no input/output parameters is probably the single most important thing, in my eyes, that separate good code from beautiful code.
examples of ugly libraries (unreadable because of C’s Standard Template Library’s complexity) http://loki-lib.sourceforge.net/index.php?n=Main.Download / https://www.boost.org/
reading id’s source code, there is the hint that “good practice” isn’t beautiful. beautiful could mean leaving “best practice” behind
Doom is beautiful because it is “anti-generic”. in that, it has style.
PARSING BY THE MACHINE VS. PARSING BY THE HUMAN
const and no input/output. Why?? (a couple of months later: local coherence)
beautiful code can be edited (using brackets {} everywhere even when optional)
TODO lol
“You will appreciate the importance of good style when it is your task to understand and maintain someone else’s code!”
they hint at the difference between meaning and value
again, the comments are the why
definition by the opposite
comments:
“you have to understand the equations before you understand the beauty of the code”
excerpt from an interview with the editor:
“Safari: What was the most challenging part of putting together Beautiful Code? Wilson: Believe it or not, it was persuading people that they actually had something to contribute. Many of the authors’ first reaction when we approached them was, “That sounds great, but I don’t think I’ve ever written any code I’d call ‘beautiful’.””
this relates to craftsmanship
“Programmers are really authors and other developers are their target audience.”
usual coherence, meaningfulness
“code never lies, comments do”
otherwise it’s highly specific to Angular, advising a lot of tool uses (TS, etc.), but at the same time remaining at the level of “write readable code that is easy to understand” -> this is not a definition at all
classic, mostly about fun, personality, emotions also about stupidity.
there are no “beautiful comments” (ornament is crime?)
“blending theory”: code that is included should blend in with the original style
different kinds of learning: documentation or examples or trial and error (these could be separate fields of practice)
the author is a highschool kid who’s very excited
yet another clean code quote
meaningful naming is intention-revealing names
we never want side-effects
stepdown rule of function declaration (always have the more general functions at the top, the more specific at the bottom)
easy to understand:
this is written by an artist, who assigns to programming “the joy of self-expression”.
“The key is this: to express yourself within programming all decisions must be personal. They cannot be prescribed from a boss, textbook, or dogma. They must come from the head and heart.”
and
“At my most cynical Java, and Design Patterned Object Orientation are paint by numbers. No one would dispute that guidelines, techniques and study are important in all craft - but just ensuring not to color outside the lines doesn’t give any satisfaction. One could never write poetry in Java.  It’s a visual representation of who I am”
mostly about layout. (not as relevant with color-coded IDEs?)
again, the author states that it’s OBVIOUS that it’s easier to work with code that is aesthetically pleasing. and that is because aesthetics alleviate cognitive pain, by leveraging “the emotional side of our brain” (for lack of a better phrase describing the non reason-side of things). there are also two means of understanding: understanding groups of people, understanding groups of languages, (and understanding groups of concepts?)
and does code-as-craftmanship have anything to do with language/litterature?
still, code as paragraphs.
consistency is more important than correctness
sql is unique because is doesn’t have a “style” –> does that mean you require a certain level of complexity to get into that style? cf. unix v6
sql is based on mathematical set theory
beauty = structure + format (because meaning and intent can be derived from appearance only, if the appearance is well-enough made)
the rest of the article is more about making it IDE-friendly (another level of machine-understanding?) than about the syntax of sql itself
understanding languages is about familiarity, and not ability
Idiomatic: Using, containing, or denoting expressions that are natural to a native speaker.
who is reading? (here, ideally it’s the least experienced developer on the team)
“there is no space for poetry in production systems” > doom? unix? probably what they meant is that there is no space for poetry in production organizations.
“clean code should make you smile, the way something that makes you happy would” > emotion in reading
obvious summary + examples of clean code
from this comment, one of the interesting things is “do not use unless
because it’s unique to Perl and confusing”… but what about idiomatic?
and then in the original post comes a lot of (polite) disagreements
AnonymousMonk: “When I was a programming novice, I didn’t comment much. When I was a programming acolyte, I commented a lot. Now I am a programming master, and I try to minize the comments in my programs. “
“why is it hard to write clean code?”


Main
Eric R. Scott
Eco-metabolomics, multivariate statistics, teaching
Education
Tufts University
PhD Candidate in Biology
Medford, MA
2014–2019
Dissertation: Indirect and Interactive Impacts of Climate Change on Tea (Camellia sinensis) Metabolites and Quality.
University of Illinois at Urbana-Champaign
M.S. in Ecology, Evolution, and Conservation Biology
Urbana, IL
2007–2010
Whitman College
B.A. in Biology
Walla Walla, WA
2002–2006
Research Experience
Graduate Research Assistant
Tufts University
Medford, MA
2014–2019
- Designed and carried out multiple field experiments in China and the US
- Developed a strong understanding of multivariate approaches to analyzing metabolomics datasets
- Provided statistics consulting to Tufts researchers
Graduate Research Assistant
University of Illinois at Urbana-Champaign
Urbana, IL
2007–2010
- Designed and conducted a multi-year field experiment
- Analyzed data using generalized linear models and mixed effects models
Selected Teaching Experience
Biostatistics using R
Tufts University
Medford, MA
2016–2018
- Created companion recitation section to Biostatistics course to teach introductory R with a focus on the Tidyverse
- Converted homework assignments from SPSS to R, making use of R Markdown documents
Reproducible Workflows for Ecology Research
Workshop presented at Tufts University
Medford, MA
Oct 2018
- Developed workshop on reproducibility in data analysis for ecologists
- Demonstrated use of R projects, project organization, authoring R packages, GitHub, and data archiving
R Notebooks: Richly annotate your statistical analyses and produce dynamic reports
Workshop presented at Tufts University
Medford, MA
Jan 2018
- Demonstrated uses of R Notebooks for biological research
- Discussed value of readable, annotated code for reproducibility and collaboration
Selected Presentations
Can pests rescue tea quality from climate change?
First place winning talk for Entomological Society of America Joint Meeting, Plant-Insect Ecosystems student competition
Vancouver, BC
Nov 2018
ER Scott, CM Orians
Generating and analyzing metabolomic data from tea plant volatiles
Poster for Data Intensive Studies Center (DISC) Symposium at Tufts University
Medford, MA
Aug 2017
ER Scott, N Kfoury
Selected Publications
Combined impacts of prolonged drought and warming on plant size and foliar chemistry
Ann. Bot. (2019). doi:10.1093/aob/mcz004
N/A
2019
CM Orians, R Schweiger, J Dukes, ER Scott, C Müller
Interactive effects of drought severity and simulated herbivory on tea (Camellia sinensis) volatile and non-volatile metabolites
Environ. Exp.


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Selection of the T cell repertoire.
Abstract
Advances in gene technology have allowed the manipulation of molecular interactions that shape the T cell repertoire. Although recognized as fundamental aspects of T lymphocyte development, only recently have the mechanisms governing positive and negative selection been examined at a molecular level. Positive selection refers to the active process of rescuing MHC-restricted thymocytes from programmed cell death. Negative selection refers to the deletion or inactivation of potentially autoreactive thymocytes. This review focuses on interactions during thymocyte maturation that define the T cell repertoire, with an emphasis placed on current literature within this field.


Listen to Sam Smith cover Donna Summer’s ‘I Feel Love’
“This song to me is an anthem of our community."
Sam Smith has unveiled their cover of Donna Summer’s seminal disco hit ‘I Feel Love’. Listen to it in full below.
Smith’s cover offers a modern spin on Summer’s 1977 classic hit and will be featured in the Christmas campaign for US retail store Target.

“This song to me is an anthem of our community and it was an honour and most importantly so much fun to have a go at it.  But a joy. I hope you all like it.”
It follows the release of Smith’s most recent single ‘How Do You Sleep?’ back in July, and the confirmation that a pop-driven follow-up to their 2017 album, ‘The Thrill Of It All’, will arrive next year.
“I feel like I have recently shown a side of me which I normally keep to myself or for my family and friends,” Smith told Zach Sang. “I showed everyone it and everyone loved it. It’s almost given me permission to kinda do what I’ve always dreamed of doing but I was always scared to do, which is pop music.”
In September, Smith revealed that they are asking fans to refer to the singer as “they” and not “he” after coming out as non-binary.
“I understand there will be many mistakes and mis-gendering but all I ask is you please please try. I hope you can see me like I see myself now. Thank you,” they wrote at the time.


Production SRE On-Call Schedule
On-Call schedule for the Production SRE team.
Contact List
On-Call
Geoff Howland
Primary
Weilu Jia
Secondary
Thomas Jackson
Escalation


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The tool can be used to make graphics for the GameBoy DMG and exports to both JSON and GZ80 Assembly (if your using a tool like RGBDS). It's not meant for editing all of your graphics but as a tool to learn the 2BPP (2 Bits Per Pixel) graphic format which can be a bit tricky to wrap your head around at first. It pairs well with my tutorial on setting up a GameBoy Development Kit.
If your curious about the sprite editor and what's happening in Unity checkout the repo at: github.com/werkn/gbspriteeditor


I work as a Research Scientist at Zoom and based in Singapore. Before Zoom, I was a machine translation research scientist at Rakuten. I am a PhD graduate in natural language processing (NLP) from National University of Singapore (NUS). I was a recipient of the ISEP Scholarship (formerly called NGS scholarship).
My areas of expertise include natural language processing, machine translation, speech processing, and general machine learning and AI ops.
@InProceedings{chollampatt2020apenmt, author = {Chollampatt, Shamil and Susanto, Raymond Hendy and Tan, Liling and Szymanska, Ewa}, title = {Can Automatic Post Editing Improve NMT?}, booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing}, year = {2020}, month = {November}, address = {Online} }
@InProceedings{susanto2020clevt, author = {Susanto, Raymond and Chollampatt, Shamil and Tan, Liling}, title = {Lexically Constrained Neural Machine Translation with Levenshtein Transformer}, booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics}, year = {2020}, month = {July}, address = {Online} }
@InProceedings{chollampatt2019csgec, author = {Chollampatt, Shamil and Wang, Weiqi and Ng, Hwee Tou}, title = {Cross-Sentence Grammatical Error Correction}, booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics}, year = {2019}, month = {July}, address = {Florence, Italy} }
@InProceedings{chollampatt2018nqegec, author = {Chollampatt, Shamil and Ng, Hwee Tou}, title = {Neural Quality Estimation of Grammatical Error Correction}, booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing}, year = {2018}, month = {November}, address = {Brussels, Belgium} }
@InProceedings{chollampatt2018reassess, author = {Chollampatt, Shamil and Ng, Hwee Tou}, title = {A Reassessment of Reference-Based Grammatical Error Correction Metrics}, booktitle = {Proceedings of the 27th International Conference on Computational Linguistics}, year = {2018}, month = {September}, address = {Santa Fe, New Mexico, USA} }
@InProceedings{chollampatt2018mlconv, author = {Chollampatt, Shamil and Ng, Hwee Tou}, title = {A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction}, booktitle = {Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence}, year = {2018}, month = {February}, address = {New Orleans, Louisiana, USA} }
@InProceedings{chollampatt2017smtgec, author = {Chollampatt, Shamil and Ng, Hwee Tou}, title = {Connecting the Dots: Towards Human-level Grammatical Error Correction}, booktitle = {Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications}, year = {2017}, month = {September}, address = {Copenhagen, Denmark} }
@InProceedings{chollampatt2016adaptngec, author = {Chollampatt, Shamil and Hoang, Duc Tam and Ng, Hwee Tou}, title = {Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models}, booktitle = {Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing}, year = {2016}, month = {November}, address = {Austin, Texas, USA} }
@InProceedings{chollampatt2016ngec, title = {Neural Network Translation Models for Grammatical Error Correction}, author = {Chollampatt, Shamil and Taghipour, Kaveh and Ng, Hwee Tou}, booktitle = {Proceedings of the 25th International Joint Conference on Artificial Intelligence}, year = {2016}, month = {July}, address = {New York, USA} }
@InProceedings{hoang2016nbestgec, author = {Hoang, Duc Tam and Chollampatt, Shamil and Ng, Hwee Tou}, title = {Exploiting N-Best Hypotheses to Improve an {SMT} Approach to Grammatical Error Correction}, booktitle = {Proceedings of the 25th International Joint Conference on Artificial Intelligence}, year = {2016}, month = {July}, address = {New York, USA} }


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I just watched Shereef's Fireside Chat and really liked his Kitchen v. Table (Restaurant) example. I will say that my expectations of DBC didn't change, but maybe that's because of the research I've done on DBC prior to applying and starting Phase 0.
Just because my expectations didn't change doesn't mean I'm not nervous. I am very nervous. I do sorta catch myself having a restaurant mindset, but even worse, I find that I definitely have a fixed mindset and have viewed things with a fixed mindset my whole life. I tend to expect myself to fail and it keeps me from experimenting. One of the main factors in choosing to do DBC is the hope that I can be guided into a different lifestyle and thought process. I think it's great that DBC has a setup where you can not only learn code and become a great developer, but also you can become a better person.
The learning experience will probably take some getting used to for me, and I know I won't be able to change my mindset overnight. I know I will be passive, I know I am a novice, and I know at times I can struggle keeping up, but I think I'm already in the process of changing my lifestyle, and that's something I'm very excited about. I know there will be many people in the same boat as me, and I can't wait to meet them and go down this crazy river with them.
Nick Siefken


Add notToBeTorn Property Use-Case.Description:Indicates that the stream should not to be torn during a Tearing Analysis.This property is used or not by the Tearing analysis, that is implementation dependent.Assumptions:None.Exceptions:None.


Key figures for a diverse team:
Key figures for a diverse team:
Often, without even realizing it, people use offensive or problematic language in the workplace....
In some cases, the offenses are blatant and obvious, but frequently they are subtle or hidden in the historic origins of the phrase. Regardless of intent, using these words can risk your reputation and be off-putting to many. Even worse, their use can be devastating to potential applicants, demoralizing for current employees, and damaging to the inclusive company culture you want to build.
One useful tool to check out would be Textio, which has the capability to call an author’s attention to offensive phrases in their writing. we are focusing on language that might be well-intentioned but is nevertheless offensive. Specifically, they are targeting language that disrespects a person’s identity or is rooted in racist, sexist, or ableist origins.
To help writers be more informed and intentional in their communication, they gathered expertise from a number of sources, including dictionaries that document derogatory and offensive language; the American Psychology Association’s Style Guide for Bias-Free Language; and organizations working at the intersection of social justice and language, such as Advancement Project, The Opportunity Agenda, and Race Forward.
The issue with women in engineering (or lack of) seems to be a bit of a ‘chicken and egg’ situation. Women need someone who they can look up to in the industry, but in many places that doesn’t exist....
I think if we educated children more on STEM in primary and secondary school, you’d see an increase of females going into the industry. As mentioned, I didn’t even know what mechanical engineering was until I’d finished my GCSEs! At school, woodwork and bricklaying was offered, but from my experience it was always boys on those courses, which I understand can put girls off.
There’s so much you are able to do with engineering; it’s a field that’s interesting and ever-changing. If you’re into science, technology, maths, enjoy being challenged and want to make a real world impact, then engineering could be for you!
The industry itself is starting to make progress, but it’s slow. I recently spoke at a women in engineering event, for children aged 12+, and was asked a lot of questions about gender diversity in the industry and how I felt about it. It was so nice being able to respond, honestly, that I’ve never once felt out of place or treated differently by my male colleagues.
Most managers accept that employers benefit from a diverse workforce, but the notion can be hard to prove or quantify, especially when it comes to measuring how diversity affects a firm’s ability to innovate....
But new research provides compelling evidence that diversity unlocks innovation and drives market growth—a finding that should intensify efforts to ensure that executive ranks both embody and embrace the power of differences. In this research, which rests on a nationally representative survey of 1,800 professionals, 40 case studies, and numerous focus groups and interviews, we scrutinized two kinds of diversity: inherent and acquired.
 Acquired diversity involves traits you gain from experience: Working in another country can help you appreciate cultural differences, for example, while selling to female consumers can give you gender smarts. We refer to companies whose leaders exhibit at least three inherent and three acquired diversity traits as having two-dimensional diversity.
By correlating diversity in leadership with market outcomes as reported by respondents, we learned that companies with 2-D diversity out-innovate and out-perform others. Employees at these companies are 45% likelier to report that their firm’s market share grew over the previous year and 70% likelier to report that the firm captured a new market.


This structure implements a tree node inside an AABB collision tree.
#include <CCollisionAABBTree.h>
|
| | cCollisionAABBNode () |
| | Constructor of cCollisionAABBNode. More...
|
| |
| virtual | ~cCollisionAABBNode () |
| | Destructor of cCollisionAABBNode. More...
|
| |
| void | fitBBox (double a_radius, cVector3d &a_vertex0) |
| | This method creates a boundary box for a point. More...
|
| |
| void | fitBBox (double a_radius, cVector3d &a_vertex0, cVector3d &a_vertex1) |
| | This method creates a boundary box for a segment. More...
|
| |
| void | fitBBox (double a_radius, cVector3d &a_vertex0, cVector3d &a_vertex1, cVector3d &a_vertex2) |
| | This method creates a boundary box for a triangle. More...
|
| |
| void | render (int a_depth=-1) |
| | This method draws the edges of the boundary box for this node, if at the given depth. More...
|
| |
| bool | computeCollision (cGenericObject *a_owner, cVector3d &a_segmentPointA, cVector3d &a_segmentDirection, cCollisionAABBBox &a_lineBox, cCollisionRecorder &a_recorder, cCollisionSettings &a_settings) |
| | This method determines whether a line segment intersects any elements covered by this node. More...
|
| |
| chai3d::cCollisionAABBNode::cCollisionAABBNode |
( |
| ) |
|
| virtual chai3d::cCollisionAABBNode::~cCollisionAABBNode |
( |
| ) |
|
|
inlinevirtual |
| void chai3d::cCollisionAABBNode::fitBBox |
( |
double |
a_radius, |
|
|
cVector3d & |
a_vertex0 |
|
) |
| |
This method creates a boundary box to enclose a point belonging to the leaf node.
- Parameters
-
| a_radius | Radius around the point. |
| a_vertex0 | Vertex 0. |
| void chai3d::cCollisionAABBNode::fitBBox |
( |
double |
a_radius, |
|
|
cVector3d & |
a_vertex0, |
|
|
cVector3d & |
a_vertex1 |
|
) |
| |
This method creates a boundary box to enclose the two vertices of a segment belonging to the leaf node.
- Parameters
-
| a_radius | Radius around the segment. |
| a_vertex0 | Vertex 0. |
| a_vertex1 | Vertex 1. |
This method creates a boundary box to enclose the three vertices of a triangle belonging to the leaf node.
- Parameters
-
| a_radius | Radius around the element. |
| a_vertex0 | Vertex 0. |
| a_vertex1 | Vertex 1. |
| a_vertex2 | Vertex 2. |
| void chai3d::cCollisionAABBNode::render |
( |
int |
a_depth = -1 | ) |
|
This method draws the edges of the boundary box for an internal tree node if it is at depth a_depth in the tree, and calls the draw function for its children.
- Parameters
-
| a_depth | If a_depth > 0, then only draw nodes at this level in the tree. If a_depth < 0 render all nodes up to this level. |
| int chai3d::cCollisionAABBNode::m_depth |
| int chai3d::cCollisionAABBNode::m_leftSubTree |
| int chai3d::cCollisionAABBNode::m_rightSubTree |
The documentation for this class was generated from the following files:


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You have deleted the seating plan. You will need to re-submit the guest list to recreate the plan if you need to access it again.
{% endif %}Hosting a dining event? Need to figure out which of your guests should be seated at the same table?
We'll help you create a sitting arrangement for free.
You can allow us to initialise a guest list from tagged friends in your Facebook photos.
Or download a template guest list here and complete it by hand.
After that, edit the guest list through Microsoft Excel. Your guests should be organised based on which social groups they are part of. Name these groups on the header of each column.
Do the same for unfriendly/antagonistic relationships: create columns for each pair/group of guests who should not be seated at the same table. You can indicate the nature of the relationships in a later step.
For guests who do not belong in any social group, also put them together under a column and name it "Uncategorized".
Individuals should be listed in multiple groups/columns if they belong to more than one group. In the above example, Hercule Poirot is a classmate to both the groom and bride, hence he is listed in both groups of friends.After you have completed the guest list either using your Facebook photos or from our template, upload it in the form below.
You can retrieve a seating plan with the token that was given to you.


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|
Time and Random FunctionsCosmTimeSyntax#include "cosm/time.h" s32 CosmTime( cosmtime * dest, cosm_TIME_CORRECTION * corrections ); DescriptionGet the current time, already synchronized with network time. Compensate for system clock drift and correct accordingly. Return ValuesCOSM_PASS on success, or COSM_FAIL on failure. ErrorsPossible causes of failure:
ExampleCosmTimeSetSyntax#include "cosm/time.h" s32 CosmTimeSet( cosm_TIME_CORRECTION * corrections, u32 * ip_list, u32 ip_count ); DescriptionSynchronize with network time. Don't attempt to set the system clock even though that would be nice. Set the value of time_offset and related values relative to the system clock instead. Use the ip_list as the list of time servers to sync with. Return ValuesCOSM_PASS on success, or COSM_FAIL on failure. ErrorsNone. ExampleCosmTimeUnitsGregorianSyntax#include "cosm/time.h" s32 CosmTimeUnitsGregorian( cosm_TIME_UNITS * units, cosmtime time ); DescriptionFill in the units structure with the time in Gregorian format. The structure of cosm_TIME_UNITS is as follows: typedef struct cosm_TIME_UNITS { /* all values are zero based */ s64 year; /* year */ u32 month; /* month */ u32 day; /* day of month */ u32 wday; /* day of week */ u32 yday; /* day of year */ u32 hour; /* hours */ u32 min; /* minutes */ u32 sec; /* seconds */ u64 subsec; /* sub-seconds, note: unsigned unlike cosmtime */ } cosm_TIME_UNITS; Users will probably find the predefined arrays COSM_TIME_MONTHS, COSM_TIME_MONTHS3, COSM_TIME_DAYS, and COSM_TIME_DAYS3 useful, see example. Return ValuesCOSM_PASS on success, or COSM_FAIL on failure. ErrorsPossible causes of failure:
Examplecosmtime mytime; cosm_TIME_UNITS myunits; const ascii * days[7] = COSM_TIME_DAYS3; const ascii * months[12] = COSM_TIME_MONTHS; u64 milli; milli = 0x004189374BC6A7EFLL; if ( CosmSystemClock( &mytime ) == COSM_PASS ) { if ( CosmTimeUnitsGregorian( &myunits, mytime ) == COSM_PASS ) { CosmPrint( "%.9s %.9s %u, %j %02u:%02u:%02u.%03v UTC, d%u\n", days[myunits.wday], months[myunits.month], myunits.day + 1, myunits.year, myunits.hour, myunits.min, myunits.sec, ( myunits.subsec / milli ), myunits.yday + 1 ); } } CosmTimeDigestGregorianSyntax#include "cosm/time.h" s32 CosmTimeDigestGregorian( cosmtime * time, const cosm_TIME_UNITS * const units ); DescriptionConvert back to a cosmtime value from Gregorian, sanity check the values. Return ValuesCOSM_PASS on success, or COSM_FAIL on failure. ErrorsPossible causes of failure:
Example
© Copyright Mithral Communications & Design Inc.
1995-.
All rights reserved.
Mithral® and Cosm® are trademarks of
Mithral Communications & Design Inc.
|


A component to create a configurable action menu.
The cog in the first row is dismissable by clicking anywhere, but the second cog can only be dismissed by clicking on the cog itself.


PROFILES(1) User Commands PROFILES(1) NAME profiles - A utility to report and change SIDs in registry files SYNOPSIS profiles [-v] [-c SID] [-n SID] {file} DESCRIPTION This tool is part of the samba(7) suite. profiles is a utility that reports and changes SIDs in windows registry files. It currently only supports NT. OPTIONS file Registry file to view or edit. -v,--verbose Increases verbosity of messages. -c SID1 -n SID2 Change all occurrences of SID1 in file by SID2. -h|--help Print a summary of command line options. VERSION This man page is correct for version 3 of the Samba suite. AUTHOR The original Samba software and related utilities were created by Andrew Tridgell. Samba is now developed by the Samba Team as an Open Source project similar to the way the Linux kernel is developed. The profiles man page was written by Jelmer Vernooij. Samba 3.6 06/22/2012 PROFILES(1)


Pretend you're a new programmer tasked with maintenance of a file on an old linux server. You ssh in and try editing the file with vim, since you've heard good things about it.
But when you attempt to open the file, you discover that your key presses aren't inserting new letters, and CTRL-C won't exit the application like normal. What now?
basics.py
)
After hitting google you now know how to drop into insert mode and out, type new text, and even copy + paste in normal mode.
But you're still jamming on the arrow keys to get everywhere, and every thing just seems slow and clunky. Even with the mouse, this is basically just on par with Notepad.
And why is there a normal mode anyway? Why not just have key chords like every other text editor?
In normal mode, vim has a ton of motions and text objects that let you tell it how to move the cursor and how to select text.
One of the pieces of "common newbie wisdom" is to increase speed by using hjkl instead of the arrows to move in normal mode.
That helps a bit since you stay on home row, but hjkl is really for small adjustments and should be your last resort. Vim has way better mechanisms for movement.
Motions let you jump efficiently around in text. Some examples:
w
- forward to next worde
- forward to end of wordfc
- forward to next occurrence of ctc
- forward 'til (to character before) next occurence of cThe concept of "text objects" allows precise selections. Particularly powerful are objects combined with the `i` and `a` modifiers:
i(
- (inner parentheses)a(
- (a set of parentheses)i[
- [inner brackets]a[
- [a brackets]it
-
inner tags
at
-
a set of tags
Other objects exists as well: sentences, paragraphs, {, (etc)...
(cue demo - file: motions-objects.scala
)
Now vim seems a bit more useful. You can issue "commands" to your text editor like dit
instead of repeatedly fiddling around with the mouse.
But still, hammering dit
repeatedly while refactoring some code seems like kind of a drag,
and might even lead to the dreaded Repetitive Stress Injury.
Enter the .
(dot) command.
(cue demo - file: move-op-repeat.scala
)
Common pattern in the usage in the dot command: move -> operate -> repeat. The entirety of vim is geared towards making this workflow easy.
There are other repeat operators (ex: macros, see :help @
), but the dot
operator alone gives HUGE bang for buck
THE takeaway for vim usage:
example_vimrc
in project) to start; this can be expanded to your preference.:help [key]
is super helpful here.:help motion.txt
.
is super important, but
there are others like @@
, &
, etcggVGy -> gg, V, G, y
"Vim nature": injecting a vim-like philosophy/interface to other programs. It's becoming more and more common as people catch on to the awesomeness of vim.
set editing-mode vi
in ~/.inputrc
... or set -o vi
(cue demo - no file; just plugins)
(Inspired by previous ACME text editing L&L)
Lets you run your selections through arbitrary code/scripts
(cue demo - file: filters.py
)
Perhaps during dev demo days?


This app is a work in progress.
Add categories, then add some actions under that category.
Coming soon:


Welcome @{{ user.username}}!
Before you start using Vs Market we need you to do one last thing. Please visit the following link and click on this code to perform the login
{{ token }}


Generate an approximately optimal tour by finding the optimal bitonic tour using a dynamic programming approach. Compute the cost of the approximate tour. If n <= 10 print out the list of X-Y coordinates, the graph as an adjacency matrix, the X-Y coordinates sorted in order of increasing X-coordinate, the L-Table, and the N-table. For all values of n print out the total distance, the tour found, and the runtime for the algorithm.
You must also submit with this part of the project a final summary report in MS Word format, called report.doc. The report (5 page minimum) will consist of an overview of the entire project (all four parts), and sections for experimental design, input, output, analysis, and a summary. The analysis section will include plots showing a comparison of the runtimes of the four algorithms with various input sizes, a summary of the performance profile for each of the four algorithms, and a table showing a comparison of the actual and theoretical runtimes for each of the four algorithms. From the table, you should be able to calculate the hidden constant for each of the four algorithms. See the main project page for details concerning the summary report.
Recall from our classroom discussion that a bitonic tour is one that starts at the leftmost vertex of the graph (assuming the edge weights are the Euclidean distance between any two vertices), then goes strictly left to right to the rightmost vertex, and then goes strictly right to left back to the starting vertex. The algorithm for finding the optimal bitonic tour on a Euclidean graph has polynomial time complexity. Essentially, the algorithm sorts the list of vertices in order of increasing x-coordinate, and then scans the list from smallest to largest, maintaining optimal possibilities for the two parts of the tour. The algorithm assumes that no two vertices have the same x-coordinate.
Below is an example of what the output should look like, assuming the program is run with n = 5 and seed = 100000. Your output should look identical to this output, including spacing and decimal precision, but not including the runtime value. You can check your output for correct formatting by saving this sample output file, generating your own output file by running your program, and then running the UNIX diff
command to compare your output with the sample:
% java BitonicTSP 5 100000 > output % diff -w output bitonicIf nothing prints to the screen after this command other than the runtimes, then your output is formatted correctly.
Note that your program will be tested on multiple values of n and seed not just the values shown here, so be sure to fully test your program, including all error conditions. Note also that tours always begin and end with vertex 0, and always proceed in a clockwise fashion, starting from vertex 0.
% java BitonicTSP 5 100000 X-Y Coordinates: v0: (2,2) v1: (0,1) v2: (4,1) v3: (3,0) v4: (1,3) Adjacency matrix of graph weights: 0 1 2 3 4 0 0.00 2.24 2.24 2.24 1.41 1 2.24 0.00 4.00 3.16 2.24 2 2.24 4.00 0.00 1.41 3.61 3 2.24 3.16 1.41 0.00 3.61 4 1.41 2.24 3.61 3.61 0.00 Sorted X-Y Coordinates: v1: (0,1) v4: (1,3) v0: (2,2) v3: (3,0) v2: (4,1) L-Table: 0.00 2.24 3.65 5.89 7.30 0.00 0.00 4.47 6.71 8.12 0.00 0.00 0.00 6.81 8.23 0.00 0.00 0.00 0.00 9.05 0.00 0.00 0.00 0.00 0.00 N-Table: -1 0 1 2 3 -1 -1 0 2 3 -1 -1 -1 0 3 -1 -1 -1 -1 2 -1 -1 -1 -1 -1 Distance using bitonic: 10.46 for path 0 2 3 1 4 0 Runtime for bitonic TSP : 2 milliseconds
Below is an example of what the output should look like for n = 13 and seed = 100000:
% java BitonicTSP 13 100000 Distance using bitonic: 44.03 for path 0 9 6 2 10 7 5 1 12 3 4 8 11 0 Runtime for bitonic TSP : 10 milliseconds
Usage: java BitonicTSP n seed
Command line args must be integers
Number of vertices must be greater than 0
When you have your program working you can submit your source code and your report from your CS account using the following command:
submit -v grd-515 project-final BitonicTSP.java Graph.java [other source file(s)]
***DO NOT FORGET TO SUBMIT THE PROJECT REPORT!***
To check if your files were submitted correctly, you can use the following command:
cksubmit -v grd-515 project-final


This is a H1 Heading
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square one
square two


bash
./stats.py -h
usage: stats.py [-h] [--name NAME] [--number NUMBER]
Display notarization stats for a running LABS Smart Chain.
optional arguments:
-h, --help show this help message and exit
--name NAME Name of the Smart Chain.
--number NUMBER Number of previous blocks.(0 for all)
`007fac3` Use only logical CPU count for libtorrent. - artemii235
`21e81ef` Deduct the fee from order volume on setprice ma... - artemii235
`5df6b04` Merge pull request #557 from KomodoPlatform/mm2... - artemii235
`93610a3` Cancel the maker order when available balance <... - artemii235
`29e5fb9` Merge branch 'mm2' into mm2-wip - ArtemGr
`166936e` fix type in elected file, min sigs to 13. - blackjok3rtt
`dc62146` Merge pull request #1087 from blackjok3rtt/blac... - jl777
`3d0b32f` Add VRSC to 3rd party network - blackjok3rtt
`cd9800b` Merge pull request #1088 from blackjok3rtt/blac... - jl777
`6915421` add more seeds - blackjok3rtt
The missing package was libssl-dev. Linking (with ld) takes a lot of RAM, which for Raspberry is limited and leads to a lot of swapping, which makes the build even slower (wasn't able to finish the linking tonight) and eats at the limited SSD resources. So I'll try to setup the swap on a RAM disk next.
MM2 doesn't cache the electrum address, but it resolved the DNS only once upon coin activation. Seems it's worth to make new resolve attempt in case of connection errors so MM2/coin reactivation won't be required in this case.


$0251/593: Flag: BAM changed, drive 0 ROM-Reference: LDA $0251,Y: $EF01 STA $0251,X: $D04F $EF8C STA $0251,Y: $EF09 Previous Page / Next Page


13 Feb 2021 - 10 Apr 2021
(9 classes)
Saturday 10:30am
Epsom Girls Grammar School
Saturday 1pm & 2pm
Botany Library
08 May 2021 - 03 Jul 2021
(9 classes)
Saturday 10:30am or 11:30am
Epsom Girls Grammar School
Wednesday 3:30pm
Next to Point View School, Dannemore
31 Jul 2021 - 25 Sep 2021
(9 classes)
Saturday 10:30am & 11:30am
Epsom Girls Grammar School
Wednesday 3:30pm
Next to Point View School, Dannemore
23 Oct 2021 - 11 Dec 2021
(9 classes)
Saturday 10:30am & 11:30am
Epsom Girls Grammar School
Wednesday 3:30pm
Next to Point View School, Dannemore


{% include "base/head.html" %}
UAVCAN is an open lightweight protocol designed for reliable intravehicular communication in aerospace and robotic applications over CAN bus, Ethernet, and other robust transports. It is created to address the challenge of deterministic on-board data exchange between systems and components of next-generation intelligent vehicles: manned and unmanned aircraft, spacecraft, robots, and cars.
The name stands for Uncomplicated Application-level Vehicular Computing And Networking.
UAVCAN is a standard open to everyone, and it will always remain this way. No licensing or approval of any kind is necessary for its implementation, distribution, or use. Voluntary monetary donations are welcomed via Open Collective.
First, read the Guide. To learn the technical details, read the Specification. Familiarize yourself with the regulated DSDL repository. If you have questions or feedback, bring them to the forum.
Pick one of the free open source implementations (MIT licensed) for use in your application:
| Library | Transports | Language | Applications | Status |
| Libcanard | UAVCAN/CAN | C11 | Embedded | Released |
| Pyuavcan | Any | Python | HMI, scripting | Released |
| Libuavcan | Any | C++11 | Embedded | Work-in-progress |
None of the implementations suit your needs? Write your own! UAVCAN is a very simple protocol; an experienced developer can easily create a custom implementation from scratch to address the unique needs of their application.
The open source tools will help you design, develop, and maintain your UAVCAN-based application:
Please reference UAVCAN in scientific or technical publications.
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Access module metadata.
.__name__ .__version__ .__namespace__ .__initials__ .__final__ .__file__ .__path__
The name of the current module scope.
When modulr loads a module file, it assigns the module's name to
.__name__
. A module file can discover whether or not it is running
in the main scope by checking if .__name__
has value
"__main__"
. This allows a common idiom for conditionally executing
code in a module file when it is run as a script (see example). It is
mainly useful when one wants to write a module file which can be executed
directly as a script and alternatively declared as a dependency and used by
other modules.
Do not assign to any metadata in the workspace, because
this will always mask the object of the same name in package:modulr
.
# script.R "script" %provides% { cat("Hello World\n"); print(.__name__) } if (.__name__ == "main") make() # EOF ## Not run: source("script.R") make("script")#> Hello World #> [1] "script"


Component: tos.platforms.micaz.MotePlatformC
configuration MotePlatformC
The porttion of a mica-family initialisation that is mote-specific.
Author:
David Gay
Provides
interface
Init
as
PlatformInit
Uses
interface
Init
as
SubInit
Wiring


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{{clickFeature.first_name}} was born on {{clickFeature.dob | date: 'fullDate'}} and died on {{clickFeature.dod | date: 'fullDate'}} at the age of {{clickFeature.age}}.
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