--- layout: post esbma_id: unknown title: Why your F# evangelism isn't working date: 2015-01-05 12:00:00 keywords: fsharp front teaser: Yes, F# has a seven year head start, but Swift will cross the chasm first. This has nothing to do with the relative merits of these two languages. The simple fact is that C# is kinda great and Objective-C is kinda dreadful. ---
Nope.
If you skim this blog entry too quickly or just read the title, you might think I am someone who does not like F#. Nothing could be further from the truth. Over the last several months, I have become a big F# fan. It has become my preferred language for personal projects.
My current side project is a key-value store in F#. I have learned a lot by writing it, and I am even starting to think it might end up becoming useful. :-)
Mostly, I find coding in F# to be extremely satisfying.
I am writing this article not as an opponent of F#, but rather, as someone who hopes that F# will become a mainstream .NET language.
Of course it is. For some definition of "mainstream".
F# is gaining traction really fast. People are using F# for real stuff. The language is improving. Xamarin is supporting it. By nearly any measure, F# is showing a lot of momentum over the last few years. If you are an F# fan, there just isn't any bad news running around.
But for this article, I am using a definition of "mainstream", (which I'll explain below) which I believe F# has not yet reached.
If, when you arrive at the end of this article, you do not like my definition of mainstream, that's okay. Just take a copy of this article, and do a search and replace all instances of the word "mainstream" with "purple". I have no desire to argue with you about what "mainstream" means, but if you want to argue about the meaning of "purple", I'll be happy to. :-)
Of course it is. To a certain extent.
But in marketing terminology, as far as I can tell, most F# users today are "early adopters". Very few are "pragmatists". And F# has not yet "crossed the chasm".
The term originates from a 1991 book by Geoffrey Moore.
The main point of Moore's book is that the classical marketing bell curve has a problem. Typically (and, prior to Moore's book, always), that bell curve is drawn like this:
The basic idea of this curve is that when a market adopts a new techology, it follows a pattern. The technology moves from left to right on the bell curve, becoming adopted by four groups in the following order:
the "early adopters" (people who like trying new technologies)
the "pragmatists" (people who only care about technology to get something done)
the "conservatives" (pragmatists, but even more risk-averse)
the "laggards" (people who actively avoid new things)
Together, the pragmatists and conservatives are the definition of "mainstream" for the purpose of this article.
Moore's key observation is that moving from the early adopters to the pragmatists is very hard. Some technologies never make it. To illustrate this problem, Moore suggests drawing the bell curve differently, with a "chasm" between the early adopters and the pragmatists:
His book explains why the chasm exists, why some technologies "die at the bottom of the chasm", and how some technologies successfully "cross the chasm". It is a marketing classic and highly recommended.
For the purpose of this blog entry, the main thing you need to know is this: The chasm exists because pragmatists generally adopt new techologies as a herd. They don't adopt a new technology until they see other pragmatists using it. This creates a chicken-and-egg problem.
Pragmatists have an annual conference where they all agree to stay with their existing technologies. The actual vote is not formal, but consensus gets reached.
A lot of this process happens in hallways and the dining hall: "Are you considering Windows 8 or should we all just stay with Windows 7 and see what happens next?"
Some of the process happens in the conference itself, where you'll see session titles like, "Why it's safe for you to ignore mobile for another year."
At PragmatiCon 2014, the ratified platform looked something like this:
SQL is still the only safe choice.
Keep an eye on your developers to make sure they're not using Ruby.
Exchange is still the best email solution.
The cloud is okay for some things, but important data needs to stay in your own server room.
Let's ignore BYOD and hope it goes away.
Building a mobile app is still too expensive and too risky.
No, not really.
This point is where the title of this blog entry comes from. If you are trying to explain the benefits of F# to pragmatists, you are probably frustrated. It probably seems like they're not listening to you. That's because they're not.
Pragmatists don't make technology decisions on the basis of what is better. They prefer the safety of the herd. A pragmatist wants to be using the same technology as all the other pragmatists, even if everybody is somewhat unhappy with it. They will choose "predictably disappointing" over "excellent and unproven" every time.
Wouldn't it be great if it were that simple?
But no. As an early adopter, there is nothing you can say to a pragmatist that will make a difference. They know that your opinion and experience are not to be trusted, because they do not share your values.
Not at all. Their decision-making process is quite rational. It is a natural consequence of being someone who uses technology to get something done rather than using technology for its own sake.
Near the top of this blog entry, I said that I find coding in F# to be extremely satisfying. That remark identifies me as an early adopter. It is something a pragmatist would never say. If any pragmatists accidentally stumbled across this blog entry, they stopped reading right there.
Pragmatists don't care about the craft of software. They don't care about how cool something is. They care about cars and investments and law and soap and oil rigs and health care and construction and transportation and insurance. Technology is just a tool.
BTW, if you find the word "pragmatists" to be too tedious to pronounce, you can just refer to these folks by their more commonly-used label: "normal people".
Maybe not. Some things stay in the land of early adopters forever.
But the area under the bell curve matters. It is roughly equivalent to revenue. Together, the pragmatists and conservatives represent almost all of the money in the market.
If your situation allows you to be successful with a given technology even though it only gets used by early adopters, great. But many people are (directly or indirectly) placing bets (financial or otherwise) which will only pay off when their technology get used by the majority of the market.
Not quite.
Sometimes a pragmatist can be convinced to break with the herd. The key is to find what Moore calls a "pragmatist in pain".
A pragmatist in pain is someone whose needs are not being well met by whatever technology is current popular among pragmatists. The current technology is not merely annoying them. It is failing them.
A pragmatist in pain actually does care about how F# is better, even though this goes against their nature. They really hate the idea of listening to some F# nerd prattle on about immutability and type inference. But they have reached their last resort. Their pain has forced them to look for hope from somebody outside the herd.
This is how a new product gets across the chasm. Find a pragmatist in pain. Do whatever-it-takes to make them happy with your product. Then go back and do it again. Repeat until you have enough customers that they can go to PragmatiCon without being shunned and ridiculed.
Because C# is really, really good.
I love C#, but I hold the opinion that F# is better.
Kirk: "Better at what?"
Khan: "Everything."
:-)
I also understand that F#'s awesomeness is basically irrelevant to the question of whether it will go mainstream or not. If the pragmatists are not in pain, they are not interested. C# doesn't cause very much pain.
Mostly, no.
Certainly it is true that F# is part of a trend. The Java world has Scala. The Apple/iOS world has Swift. It is not merely true that F# is gaining momentum. It is also true that functional programming is gaining momentum.
But in terms of going mainstream, these three languages will be related-but-separate. If Swift cross the chasm first (and it will), that will add a bit more momentum to F#, simply because the two languages will be seen as comparables in different ecosystems. But F# will have to cross the chasm on its own.
Yes, F# has a seven year head start, but Swift will cross the chasm first. This has nothing to do with the relative merits of these two languages.
As of January 2015, F# is quite stable and trustworthy for most use cases, while Swift is mostly an unstable mess that isn't ready for prime time. This too is irrelevant.
The simple fact is that C# is kinda great and Objective-C is kinda dreadful. Swift will go mainstream first because you can't swing a 9-iron in the Apple/iOS ecosystem without hitting a pragmatist in pain.
Really? Great! Please spread the word.


Remember to bring your laptop to class!
Torfs, P., & Brauer, C. A (very) short introduction to R. Available: https://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R-Intro.pdf
Short, T. R reference card. Available: https://cran.r-project.org/doc/contrib/Short-refcard.pdf
RStudio. RStudio IDE cheat sheet. Available: https://www.rstudio.com/wp-content/uploads/2016/01/rstudio-IDE-cheatsheet.pdf
Note: “Resources” are readings and materials available for your benefit if you would like additional detail on a topic. They are not required, but often are very helpful (especially things like cheat sheets and reference documents).
Tuesday, March 26: Lecture 01 (pdf / Rmd)
Thursday, March 28: Lecture 02 (pdf / Rmd)
Required Reading
FitzJohn, R. Nice R code: Designing projects. Available: https://nicercode.github.io/blog/2013-04-05-projects/
Navarro, D. Section 2.1: Introduction to psychological measurement, through Section 2.2: Scales of measurement. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/studydesign.html
Wickham, H. Welcome, through Section 3: Functions. In The tidyverse style guide. Available: https://style.tidyverse.org/
Computing
Wilson, G., et al. (2017). Good enough practices in scientific computing. PLOS Computational Biology, 13(6), e1005510. doi: 10.1371/journal.pcbi.1005510
Navarro, D. Chapter 8: Basic programming. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/scripting.html
Statistics & Measurement
Navarro, D. Chapter 1: Why do we learn statistics? In Learning statistics with R. Available: https://learningstatisticswithr.com/book/why-do-we-learn-statistics.html
McDonald, J. H. Types of biological variables. In Handbook of biological statistics. Available: http://www.biostathandbook.com/variabletypes.html
Markdown & R Markdown
Pritchard, A. Markdown cheatsheet. Available: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
RStudio. R Markdown reference guide. Available: https://www.rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf
Xie, Y., Allaire, J. J., & Grolemund, G. R Markdown: The definitive guide. Available: https://bookdown.org/yihui/rmarkdown/
Git & GitHub
Bryan, J., et al. Happy Git and GitHub for the useR. Available: https://happygitwithr.com/
FitzJohn, R., & Falster, D. Nice R code: Introduction to version control using Git. Available: https://nicercode.github.io/git/
GitHub Guides. Git handbook. Available: https://guides.github.com/introduction/git-handbook/
GitHub. GitHub Desktop. Available: https://desktop.github.com/
Zabor, E. C. Creating websites in R. Available: https://www.emilyzabor.com/tutorials/rmarkdown_websites_tutorial.html
Required Reading
Wickham, H. (2014). Tidy data. Journal of Statistical Software, 59(10), 1-23. doi: 10.18637/jss.v059.i10
“Informal and code heavy” version in the tidyr
package vignette, available: https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html
Tukey, J. W. (1977). Preface. In Exploratory data analysis (pp. v-ix). Reading, MA: Addison-Wesley. Available: here (pdf)
Assignment 2 (pdf / Rmd) (Due April 9)
Data Wrangling
RStudio. Data wrangling with dplyr and tidyr cheat sheet. Available: https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
Wickham, H., & Grolemund, G. Chapter 12: Tidy data. In R for data science. Available: https://r4ds.had.co.nz/tidy-data.html
Navarro, D. Chapter 7: Pragmatic matters. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/datahandling.html
Chang, W. Converting data between wide and long format. In Cookbook for R. Available: http://www.cookbook-r.com/Manipulating_data/Converting_data_between_wide_and_long_format/
Exploratory Data Analysis
Peng, R. D. Exploratory data analysis with R. Available: https://bookdown.org/rdpeng/exdata/
Wickham, H., & Grolemund, G. Chapter 7: Exploratory data analysis. In R for data science. Available: https://r4ds.had.co.nz/exploratory-data-analysis.html
Navarro, D. Chapter 5: Descriptive statistics. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/descriptives.html
Problems with Data
Navarro, D. Section 5.8: Handling missing values. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/descriptives.html#missing
van Buuren, S. Section 1.1: The problem of missing data, through Section 1.4: Multiple imputation in a nutshell. In Flexible imputation of missing data. Available: https://stefvanbuuren.name/fimd/sec-problem.html
Prabhakaran, S. Outlier treatment. In r-statistics.co. Available: http://r-statistics.co/Outlier-Treatment-With-R.html
Navarro, D. Section 2.7: Confounds, artifacts and other threats to validity. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/studydesign.html#confounds-artifacts-and-other-threats-to-validity
McDonald, J. H. Confounding variables. In Handbook of biological statistics. Available: http://www.biostathandbook.com/confounding.html
Required Reading
Healy, K. Chapter 1: Look at data. In Data visualization: A practical introduction. Available: https://socviz.co/lookatdata.html
Wilke, C. O. Chapter 29: Telling a story and making a point. In Fundamentals of data visualization. Available: https://serialmentor.com/dataviz/telling-a-story.html
Assignment 3 (pdf / Rmd) (Due April 16)
Start thinking about Project Proposal (Due April 23, 11:59pm)
Wickham, H., et al. Create elegant data visualizations using the grammar of graphics: ggplot2. Available: https://ggplot2.tidyverse.org/
Wickham, H., & Grolemund, G. Chapter 3: Data visualization. In R for data science. Available: https://r4ds.had.co.nz/data-visualisation.html
Wickham, H., & Grolemund, G. Chapter 28: Graphics for communication. In R for data science. Available: https://r4ds.had.co.nz/graphics-for-communication.html
RStudio. Data visualization with ggplot2 cheat sheet. Available: https://www.rstudio.com/wp-content/uploads/2015/12/ggplot2-cheatsheet.pdf
Healy, K. Data visualization: A practical introduction. Available: https://socviz.co/
Wilke, C. O. Fundamentals of data visualization. Available: https://serialmentor.com/dataviz/
Rougier, N. P., et al. (2014). Ten simple rules for better figures. PLOS Computational Biology, 10(9), e1003833. doi: 10.1371/journal.pcbi.1003833
BBC Open Source. BBC visual and data journalism cookbook for R graphics. Available: https://bbc.github.io/rcookbook/
The Urban Institute. Urban Institute R graphics guide. Available: https://urbaninstitute.github.io/urban_R_theme/
Geckoboard. Play your charts right: Tips for effective data visualization. Available: https://www.geckoboard.com/learn/data-literacy/data-visualization-tips/
Rost, L. C. (2018). Your friendly guide to colors in data visualisation. Chartable. Available: https://blog.datawrapper.de/colorguide/
Tol, P. (2018). Colour schemes. SRON Netherlands Institute for Space Research. Available: https://personal.sron.nl/~pault/data/colourschemes.pdf
Required Reading
McDonald, J. H. Basic concepts of hypothesis testing. In Handbook of biological statistics. Available: http://www.biostathandbook.com/hypothesistesting.html
McDonald, J. H. Correlation and linear regression. In Handbook of biological statistics. Available: http://www.biostathandbook.com/linearregression.html
For information on conducting these tests in R, see: Mangiafico, S. S. Correlation and linear regression. In An R companion for the handbook of biological statistics. Available: http://rcompanion.org/rcompanion/e_01.html
Joselson, N. (2016). Eugenics and statistics, discussing Karl Pearson and R. A. Fisher. Available: https://njoselson.github.io/Fisher-Pearson/
Assignment 4 (pdf / Rmd) (Due April 23)
Project Proposal (Due April 23, 11:59pm)
Hypothesis Testing
McDonald, J. H. Choosing a statistical test. In Handbook of biological statistics. Available: http://www.biostathandbook.com/testchoice.html
For information on conducting these tests in R, see: Mangiafico, S. S. An R companion for the handbook of biological statistics. Available: http://rcompanion.org/rcompanion/
Navarro, D. Chapter 11: Hypothesis testing. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/hypothesistesting.html
Linear Models
Wickham, H., & Grolemund, G. Chapter 23: Model basics. In R for data science. Available: https://r4ds.had.co.nz/model-basics.html
Wickham, H., & Grolemund, G. Chapter 24: Model building. In R for data science. Available: https://r4ds.had.co.nz/model-building.html
McDonald, J. H. Simple logistic regression. In Handbook of biological statistics. Available: http://www.biostathandbook.com/simplelogistic.html
McDonald, J. H. Multiple logistic regression. In Handbook of biological statistics. Available: http://www.biostathandbook.com/multiplelogistic.html
Navarro, D. Chapter 15: Linear regression. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/regression.html
McDonald, J. H. One-way anova. In Handbook of biological statistics. Available: http://www.biostathandbook.com/onewayanova.html
McDonald, J. H. Two-way anova. In Handbook of biological statistics. Available: http://www.biostathandbook.com/twowayanova.html
Navarro, D. Chapter 14: Comparing several means (one-way ANOVA). In Learning statistics with R. Available: https://learningstatisticswithr.com/book/anova.html
Navarro, D. Chapter 16: Factorial ANOVA. In Learning statistics with R. Available: https://learningstatisticswithr.com/book/anova2.html
McDonald, J. H. Multiple comparisons. In Handbook of biological statistics. Available: http://www.biostathandbook.com/multiplecomparisons.html
Faraway, J. J. Practical regression and anova using R. Available: https://cran.r-project.org/doc/contrib/Faraway-PRA.pdf
Scholer, F. ANOVA - Type I/II/III SS explained. Available: https://mcfromnz.wordpress.com/2011/03/02/anova-type-iiiiii-ss-explained/
Meta-Science
Aschwanden, C. (2015). Science isn’t broken. FiveThirtyEight. Available: https://fivethirtyeight.com/features/science-isnt-broken/
Angwin, J., et al. (2016). Machine bias. ProPublica. Available: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
Lum, K., & Isaac, W. (2016). To predict and serve?. Significance, 13(5), 14-19. doi: 10.1111/j.1740-9713.2016.00960.x
Rodriguez-Lonebear, D. (2016). Chapter 14: Building a data revolution in Indian country. In Kukutai, T., & Taylor, J. (Eds.), Indigenous data sovereignty (pp. 253-272). Available: http://press-files.anu.edu.au/downloads/press/n2140/pdf/ch14.pdf
Required Reading
None
Assignment 5 (pdf / Rmd) (ATTENTION: Due May 7)
Ecological Analyses
Simpson, G. CRAN Task View: Analysis of Ecological and Environmental Data. Available: https://cran.r-project.org/web/views/Environmetrics.html
Oksanen, J. Vegan: An introduction to ordination. Available: https://cran.r-project.org/web/packages/vegan/vignettes/intro-vegan.pdf
Guevara, M. R., et al. (2016). diverse
: An R Package to analyze diversity in complex systems. The R Journal, 8(2), 60-78. doi: 10.32614/rj-2016-033
Ordinal Data
Mangiafico, S. S. Introduction to Likert data. In Summary and analysis of extension program evaluation in R. Available: http://rcompanion.org/handbook/E_01.html
Barry, D. Do not use averages with Likert scale data. Available: https://bookdown.org/Rmadillo/likert/
Mangiafico, S. S. One-way permutation test of independence for ordinal data. In Summary and analysis of extension program evaluation in R. Available: http://rcompanion.org/handbook/K_02.html
Holgado–Tello, F. P., et al. (2010). Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Quality & Quantity, 44(1), 153. doi: 10.1007/s11135-008-9190-y
Rhemtulla, M., et al. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354. doi: 10.1037/a0029315
Dimensionality Reduction
Multidimensional Scaling (Classical and Nonmetric)
Boehmke, B. Hierarchical cluster analysis. In University of Cincinnati Business Analytics R programming guide. Available: https://uc-r.github.io/hc_clustering
Boehmke, B. Principal components analysis. In University of Cincinnati Business Analytics R programming guide. Available: https://uc-r.github.io/pca
Boehmke, B. K-means cluster analysis. In University of Cincinnati Business Analytics R programming guide. Available: https://uc-r.github.io/kmeans_clustering
Revelle, W. (2018). How to: Use the psych
package for factor analysis and data reduction. Available: http://personality-project.org/r/psych/HowTo/factor.pdf
Savalei, V. (2011). What to do about zero frequency cells when estimating polychoric correlations. Structural Equation Modeling, 18(2), 253-273. doi: 10.1080/10705511.2011.557339
EFA
Tuesday, May 7: Workshop
Thursday, May 9: Workshop
Required Reading
None
Assignment 5 (pdf / Rmd) (ATTENTION: Due May 14)
Project Report (Due May 17, 11:59pm)
Project Presentation (Due week of May 13)
Data Science
Random Forests
Text Mining, Scraping, and Sentiment Analysis
Reproducible Research
rOpenSci. Reproducibility in science. Available: https://ropensci.github.io/reproducibility-guide/
Hartgerink, C. (2017). Composing reproducible manuscripts using R Markdown. Available: https://elifesciences.org/labs/cad57bcf/composing-reproducible-manuscripts-using-r-markdown
Lowndes, J. S. S., et al. (2017). Our path to better science in less time using open data science tools. Nature Ecology & Evolution, 1(6), 0160. doi: 10.1038/s41559-017-0160
Science Communication
Hillier, A., Kelly, R. P., & Klinger, T. (2016). Narrative style influences citation frequency in climate change science. PLOS ONE, 11(12), e0167983. doi: 10.1371/journal.pone.0167983
Ratliff, W. The David Attenborough style of scientific presentation. Available: https://www.dropbox.com/s/j1vv2baheiduvip/David%20Attenborough%20talk%20technique%202018.pdf


This part of code will display 24hrs weather forecast. It takes data from JSON file and triggers using OnClick method


For the success of a business event, in addition to organizational efficiency, it is necessary to successfully match the format of the meeting and its objectives. It is equally important that the work plan maintains a balance between the business itself and the relaxation and entertainment parts.
If the business meeting has reached the stated goal, the final stage requires the obligatory summing up of the results, a brief repetition of the main provisions raised during the negotiations. It is imperative to focus on the successful, productive aspects of the event.
Read MoreThe location of the negotiations is of great importance for the success of the negotiations. The site should be easily accessible for participants, have the necessary conditions of service and comply with the concept of the event.
Conducting business meetings at exhibitions


Events Manager
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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Leanprover.20community.html ---
Can somebody give me access to leanprover-community (my gh account is https://github.com/tobig)
done
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Harold Webster Memorial 10 mile
Hamilton CAN
Website: www.boxingdayrun.ca
Race Winners
(96 runnings)
59:24 57:22 57:12 59:01 26 Dec
2007
51:46
1:00:53
26 Dec
2006
50:46
1:00:50
26 Dec
2005
54:39
59:35
26 Dec
2004
50:49
58:14
26 Dec
2003
53:35
57:52
26 Dec
2002
52:26
58:27
26 Dec
2001
53:24
1:01:35
26 Dec
2000
53:20.6
59:44
26 Dec
1999
51:47
1:01:16
26 Dec
1998
54:16
1:01:12
26 Dec
1997
52:56
59:04
26 Dec 1996
53:14
58:29
26 Dec
1995
50:46
57:07
26 Dec
1994
50:22
57:52
26 Dec
1993
51:05
59:09
26 Dec
1992
51:10
1:00:35
26 Dec
1991
---
---
26 Dec
1990
---
---
26 Dec
1989
50:46
58:45
26 Dec
1988
49:21.5
59:57
26 Dec
1987
51:08.1
1:00:26.7
26 Dec 1986
48:51
1:03:23
26 Dec
1985
50:01.4
1:02:00
26 Dec 1984
48:29.2
---
26 Dec
1983
50:33
1:00:51
26 Dec
1982
50:11
58:30
26 Dec 1981
47:10
26 Dec
1980
47:47.8
26 Dec 1979
48:09
26 Dec 1978
49:25
26 Dec 1977
48:04
26 Dec
1976
48:46.6
26 Dec 1975
50:46.6
26 Dec 1974
48:44.6
26 Dec 1973
48:29.0
n/r
26 Dec
1972
49:09.6
7:52.4
27 Dec 1971
49:33
8:25.2
02 Jan 1971
48:09
7:47
13 Dec 1969
47:26.1
6:50.2
14 Dec 1968
47:35
7:17
16 Dec 1967
47:29.8
7:05
17 Dec
1966
48:21
6:47
18 Dec 1965
48:26.8
26 Dec 1964
51:32.6
28 Dec 1963
53:21
29 Dec
1962
52:52
30 Dec
1961
---
31 Dec 1960
52:25
1959
---
01 Jan 1958
53:10
01 Jan 1957
55:19
01 Jan 1956
53:35
01 Jan 1955
54:25
01 Jan 1954
54:25.6
01 Jan 1953
55:00
01 Jan 1952
56:43
01 Jan 1951
54:42.8
01 Jan 1950
56:05
01 Jan 1949
56:50
01 Jan 1948
58:24
01 Jan 1947
57:07
01 Jan 1946
56:33
1944-1945
---
01 Jan 1943
56:40
01 Jan 1942
55:59
01 Jan 1941
56:07
01 Jan 1940
---
01 Jan 1939
55:33.3
01 Jan 1938
57:40
01 Jan 1937
53:50
01 Jan 1936
54:20.4
01 Jan 1935
58:53
01 Jan 1934
55:06.8
01 Jan 1933
52:46
01 Jan 1932
57:16
01 Jan 1931
54:21
01 Jan 1930
54:47.8
01 Jan 1929
---
01 Jan 1928
51:34
01 Jan 1927
49:20
01 Jan 1926
50:55
01 Jan 1925
55:05
01 Jan 1924
54:58
01 Jan 1923
---
01 Jan 1922
---
01 Jan 1921
57:50
01 Jan 1920
---
Notes: 1920 was the inaugural year. The women's race distance was reported as 1.5 miles for 1966-1973 but was probably
closer to 1.2 miles. The race was run from Hamilton to Dundas and back during the 1970's and earlier years. The
course was reported as "known short" in 1927 and a longer course was used thru the 1950's. The 1977 race
distance was estimated as about 9.6 miles at the time; the distance for the 1981 race was about 9.8 miles; the
distances for all years 1981 and earlier are considered to have been significantly short. The course was adjusted
to the full ten miles for the 1982 race. This race has also been known as the Boxing Day 10 mile (December 26th
is Boxing Day in Canada) and earlier, as the Hamilton YMCA New Years Day Race.
26 Dec
2018
48:05
Matt Hughes-2
55:46
Robyn Mildren-2
26 Dec
2017
51:18
Matt Hughes (ON/CAN)
59:17
Robyn Mildren (VC/CAN)
26 Dec
2016
51:20
Nicholas Falk (ON/CAN)
56:25
Kate VanBuskirk (ON/CAN)
26 Dec
2015
49:07
Robyn Watson-3
58:01
Leslie Sexton-3
26 Dec
2014
48:39
Sami Jibril (ON/CAN)
56:05
Leslie Sexton-2
26 Dec
2013
49:52
Robyn Watson-2
58:00
Leslie Sexton (ON/CAN)
26 Dec
2012
51:33
Peter Corrigan (ON/CAN)
57:35
Lucy Njeri Muhami-2
26 Dec
2011
50:28
Kyle Jones (BC/CAN)
Lucy Njeri Muhami (KEN)
26 Dec
2010
48:39
Robyn Watson (BC/CAN)
Megan Brown-2
26 Dec
2009
50:10
Eric Gillis (ON/CAN)
Tara Quinn (Smith) (ON/CAN)
26 Dec
2008
50:48
Andrew Smith (CAN)
Megan Brown (ON/CAN)
Josephat Ongeri-2
Nicole Stevenson-8
Josephat Ongeri (KEN)
Rebecca Stallwood (CAN)
Mark Vollmer (CAN)
Nicole Stevenson-7
Calvin Staples (CAN)
Nicole Stevenson-6
David Maritim (KEN)
Nicole Stevenson-5
Shingirai Badza (ZIM)
Nicole Stevenson-4
Curtis Gadula (CAN)
Nicole Stevenson-3
Paul Howarth (USA)
Leslie Carson-3
Steve Bohan (CAN)
Leslie Carson-2
Michael Dyon (CAN)
Nicole Stevenson-2
Michael McGowan (CAN)
Nicole Stevenson (ON/CAN)
Shane Lavelle (CAN)
Missy McCleary (CAN)
Wayne Riley (CAN)
May Allison-2
Nick Tsioros (CAN)
Leslie Carson (ON/CAN)
Brendan Matthias (CAN)
May Allison (CAN)
Clive Hamilton (CAN)
Jacqueline Mota (CAN)
n/a
n/a
n/a
n/a
Gerry Westgate (ON/CAN)
Susan French-Lee-2
David Edge-4
Carey Edge-May (IRL)
David Edge-3
Nancy Brown (ON/CAN)
Roger Martindill-4
Brenda Steenhof (ON/CAN)
David Edge-2
Doone Riley (ON/CAN)
Roger Martindill-3
n/a
Robert Earl-2
Susan French-Lee (ON/CAN)
Robert Earl (ON/CAN)
Gillian Morton (ON/CAN)
Jerry Kooymans (CAN)
David Edge (ON/CAN)
Roger Martindill-2
Jim Groves (CAN)
Roger Martindill (ON/CAN)
Robert Legge (ON/CAN)
Robert Moore-3
Andy Boychuk (CAN)
Robert Moore-3
Sharon Clayton (ON/CAN)
Robert Moore-2
Robin White-2
Willie Speck (NY/USA)
Robin White (ON/CAN)
Mick Goerke (CAN)
Donna Campbell (CAN)
Robert Moore (CAN)
Pam Bagian (CAN)
Brian Armstrong (CAN)
Jackie Ford
Jerome Drayton-2
Abby Hoffman-2
David Ellis-3
Abby Hoffman (ON/CAN)
Jerome Drayton (ON/CAN)
David Ellis-2
Charles Pell (CAN)
David Ellis (ON/CAN)
n/a
Ron Wallingford (CAN)
probably not held
Gordon Dickson-2
Bob Goldie (ON/CAN)
Gordon Dickson (ON/CAN)
John Vamplew (CAN)
Joe Zoetemelk (CAN)
Selwyn Jones-2
Keith Dunnett (ON/CAN)
Selwyn Jones (ON/CAN)
Robert "Scotty" Rankine-3
Philip Donnachie (ON/CAN)
Walter Fedorick-4
Walter Fedorick-3
Walter Fedorick-2
probably not held
Whitey Sheridan-2
Whitey Sheridan (ON/CAN)
Milt Wallace-2
n/a
Walter Hornby-2
Walter Fedorick (ON/CAN)
Milt Wallace (ON/CAN)
Walter Hornby
Wilfred McCluskey (ON/CAN)
Harold Webster-3
Robert "Scotty" Rankine-2
Robert "Scotty" Rankine (ON/CAN)
Harold Webster-2
Harold Webster (ON/CAN)
n/a
Cliff Bricker-3
Cliff Bricker-2
Cliff Bricker (ON/CAN)
Charles Morton-2
Tom Ellis (ON/CAN)
n/a
n/a
Charles Morton (ON/CAN)
n/a
Most Wins (1920/date)
Men
4
Walter Fedorick (ON/CAN)
1938,1946-48
.
Roger Martindill (ON/CAN)
1977,1979,1984,1986
.
David Edge (ON/CAN)
1980,1985,1987-88
Women
8
Nicole Stevenson (CAN)
1997-98,2001-05,2007
Prize Money
(ADR qualified runners)
Year Men Women Total 2016 $595 $595 $1,190 2015 575 720 1,295 2014 990 860 1,850 2013 1,030 795 1,825 2012 500 905 1,405 2011 390 880 1,270 2010 895 895 1,790 .... 2008 735 860 1,595 2007 560<PHONE_NUMBER> 385<PHONE_NUMBER><PHONE_NUMBER> 415 500 915 .... 1997 235<PHONE_NUMBER> 90<PHONE_NUMBER> 335 280 615 .... 1993 225 150 375 Sums $7,955 $9,115 $17,070
Race Time Bias (sec/km)
Year Men Women
2014 -2.1 n/c
Competitive Level (1990-date)
Year Men Women
2014 45 n/c
Quality Performances through 2018
Men <48:40 6 <49:00 8 <49:20 12 <49:40 16 Women <56:30 3 <57:00 3 <57:30 6 <58:00 11
Last Updated on 06 Apr 2019 mp
Contributors: George Aitken, Andy Milroy, Maurice Wilson (47), David Monti (2), James Van Dyke


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3 Data Frames
A very important data structure in R is the data frame which is a two-dimensional table. The rows are also called observations, while the columns are called variables (which should not be confused with the variables, i.e. saved values or objects, from the previous chapter!). In phonetics, we often work with data frames, e.g. when we have extracted acoustic information from speech recordings or measures from a perception experiment and want to analyse those (statistically).
3.1 Import & Export
There are several ways of importing a .csv
or .txt
table in R. If you want to load a table from your hard drive, you can use the Import Dataset
assistant shown in the toolbar right above the R environment on the top right. The command used by the assistant to import the data frame will be shown in the console.
In this course you will use data frames that are provided on a website, which is why we have to write our own command to load them. The command we’ll use is read.table()
and its main argument is the path (i.e. the URL in this case) to the data frame (but check the help page of this function for further information on its arguments and further import functions):
<- read.table("http://www.phonetik.uni-muenchen.de/~jmh/lehre/Rdf/ai.txt") ai
Since we will use several data frames from the same website throughout this course, we can optimise our import function so that we don’t have to type or copy & paste the same complicated URL every time. To do so, we store the URL as a variable of the string type and then use the function file.path()
with which the URL and file name are concatenated:
<- "http://www.phonetik.uni-muenchen.de/~jmh/lehre/Rdf"
url file.path(url, "ai.txt")
## [1] "http://www.phonetik.uni-muenchen.de/~jmh/lehre/Rdf/ai.txt"
# with the import command:
<- read.table(file.path(url, "ai.txt")) ai
The counterpart to read.table()
is write.table()
which is used to save a data frame from R to your hard drive. This function takes the name of the object in R which is to be saved and then the path including the desired file name (./
signals the current directory). In addition, we’ll use the optional argument row.names = FALSE
so that the function does not add a column for the (in this case, non-existent) row names in the stored table.
write.table(ai, file.path("./", "ai.txt"), row.names = FALSE)
Of course you cannot just load data frames, you can also write them yourself using the function data.frame()
. This function takes as arguments the column names and the values to fill these columns. Here is an example:
<- data.frame(F1 = c(240, 220, 250, 210, 280, 520, 510, 605, 670, 613),
df vowel = rep(c("i","o"), each = 5))
df
## F1 vowel
## 1 240 i
## 2 220 i
## 3 250 i
## 4 210 i
## 5 280 i
## 6 520 o
## 7 510 o
## 8 605 o
## 9 670 o
## 10 613 o
Data frames have their own object class:
class(df)
## [1] "data.frame"
3.2 Characteristics
When we work with data structures that contain a lot of information, it is important to make yourself familiar with that object. R provides many useful functions to look at data frames or gather information about their characteristics:
# look at data frame in separate panel
View(ai)
# return first or last observations
head(ai)
## F1 Kiefer Lippe
## 1 773 -25.48 -24.60
## 2 287 -27.03 -26.44
## 3 1006 -27.25 -27.59
## 4 814 -26.06 -27.17
## 5 814 -26.15 -25.93
## 6 806 -26.37 -24.45
tail(ai)
## F1 Kiefer Lippe
## 20 888 -25.99 -26.85
## 21 988 -26.27 -28.27
## 22 650 -26.50 -24.31
## 23 1026 -27.10 -24.64
## 24 992 -28.41 -28.31
## 25 896 -26.57 -25.69
# number of rows and/or columns
nrow(ai)
## [1] 25
ncol(ai)
## [1] 3
dim(ai)
## [1] 25 3
# column names
colnames(ai)
## [1] "F1" "Kiefer" "Lippe"
names(ai)
## [1] "F1" "Kiefer" "Lippe"
3.3 Accessing Columns
Although we will work with the modern tidyverse syntax in the following chapters, we want to introduce briefly how to access columns of data frames in a traditional way because this can sometimes be the most efficient way.
Take a look at your R environment: you’ll see that the simple variables and vectors are listed under “Values” while the two data frames ai
and df
are listed under “Data”. The environment also shows the number of observations and variables for each data frame, e.g. 25 obs. of 3 variables
. When you click on the tiny blue icon next to the data frame’s name, it opens an overview of the column names, their object class (int
for integers, num
for numerics, etc.) as well as the first few values in that column. The same information can be obtained by applying the function str()
(structure) to the data frame:
str(ai)
## 'data.frame': 25 obs. of 3 variables:
## $ F1 : int<PHONE_NUMBER> 814 814<PHONE_NUMBER> 964 931 ...
## $ Kiefer: num -25.5 -27 -27.2 -26.1 -26.2 ...
## $ Lippe : num -24.6 -26.4 -27.6 -27.2 -25.9 ...
str(df)
## 'data.frame': 10 obs. of 2 variables:
## $ F1 : num 240 220 250 210 280 520 510 605 670 613
## $ vowel: chr "i" "i" "i" "i" ...
In front of every column in this overview you see the dollar sign. This is actually how you can access columns in data frames: type the data frame’s name, then (without spaces!) the dollar sign, then (again without spaces!) the column name:
$F1 df
## [1] 240 220 250 210 280 520 510 605 670 613
You can see here that a column is basically a vector! And that means that you can now apply the functions, which we have previously used to manipulate vectors, to the columns in data frames:
length(df$F1)
## [1] 10
table(df$vowel)
##
## i o
## 5 5
Further Information: Factors in Data Frames
In the R environment you can see that the column vowel
of the data frame df
which we created above is a factor, and that this factor has two levels – even though we had filled the column vowel
with a vector of strings, and not with a factor! The function data.frame()
that generated df
has an argument called stringsAsFactors
which is set to TRUE
by default. That means that the strings in the column vowels
were automatically converted into a factor when the data frame was created. The two distinct values (categories) in this column are “i” and “o”, so the factor has two levels.
When you take another look at the data frame df
you’ll also see that the column vowel
is not just a factor with two levels, but that the first values in this column are weirdly numbers, and not “i” or “o”. This is because factors are stored as integers in the background (i.e. usually invisible to users of R). These integers are associated with the levels of the factor. So when the environment lists the value 1 in the column vowel
of df
, it represents the level “i”, while the value 2 represents the level “o”.
If you want to prevent strings from being converted into factors, you can simply set stringsAsFactors = FALSE
:
<- data.frame(F1 = c(240, 220, 250, 210, 280, 520, 510, 605, 670, 613),
df vowel = rep(c("i","o"), each = 5),
stringsAsFactors = FALSE)


Warehouse Chief Ranspo:
What does Barbado want?
Who knows? Well, he did say something once about wanting to pick up a new instrument... A flute, I think it was...


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Mrs. Grace Obaseki Flat 8 Block 12 NNPC Quarters Garki Abuja Nigeria Email<EMAIL_ADDRESS>HELLO DEAR. I presume this letter will come to you as a surprise, but as things unfold, we will know each other better. I will start by introducing myself to you. I am Mrs Grace Obaseki, the wife of Chief Jackson Gaius Obaseki, the Managing Director, and Chief Executive, Nigerian National Petroleum orporation (NNPC). I am really sure that you will be of a good assistance after going thoroughly through this letter. For many years of marriage now between me and my husband, I have not given birth, and this has really troubled my husband. As a result of the respect given to local tradition culture and custom here in Nigeria, my husband has decided to break the marriage. With the situation of things with me now, my matrimonial home look bleak. I am been threatened daily by my husband to get out from the home. My Husband s brothers are not left out in this matter. This situation has really affected me psychologically. As at now, I am no longer Assured of a matrimonial home, hence I seek your urgent assistance and help which I know will go a long way in getting me settled finally. I want to use this opportunity to move the sum of (US$18M) into your custody for safe keeping, pending my arrival in your country. This said amount was given to my husband as gratification from some Foreign Oil Companies he helped in getting Allocation for the Drilling of Crude Oil in Nigeria. As a civil servant, he does not want to be exposed, hence he gave me this money to keep in my personal account so that he can be exonerated from the eyes of government security operatives and the Civil Service Commission (CSC) which is a body that scrutinizes the activities of all civil servants in Nigeria as checks and balances for official misconduct. Be informed that this money is not connected with drugs; money laundry, firearms and looting which I believe will put fears in you to render the required assistance needed from you and consequently withdrawing your help for security reasons. Hence the source of this said money is clean and clear. This money was deposited in my personal name, and there is no way it can be transferred telegraphically under the banking procedures which could have been the easiest, but because of monetary transfer restriction by the Federal Government of Nigeria, that is defeated. Rather I have arranged a diplomat manager to move this money out in cash to any destination where it will be easy for you to collect under diplomatic immunity. This he has assured me of. As a soon as I see your response and willingness to help as regards to this, I will furnish you on the next line of action to take, but be rest assured that this transaction is 100% risk free, and my husband will not raise any alarm because he will not like to put himself, his job and office in jeopardy, and if he does, he stands the change of loosing his job.  I will be offering you 20% of this money for all your help at this time of need, while some percentages has been set aside for my Brother to complement his efforts here. Be informed that this transaction will not last more than 14 working days and it will be concluded because every arrangement has been put in place. Your negative or positive response will be highly appreciated. Yours faithfully, Mrs Grace Obaseki -------------------------------------------------- Nuevo Depósito a un mes 6% T.A.E. de ING http://ingdirect.ozu.es/ -------------------------------------------------- Correo enviado desde http://www.ozu.es


NAME
zip_source_buffer_fragment,
zip_source_buffer_fragment_create —
create zip data source from multiple buffer
LIBRARY
libzip (-lzip)
SYNOPSIS
#include <zip.h>
zip_source_t *
zip_source_buffer_fragment(
zip_t
*archive,
zip_buffer_fragment_t
*fragments,
zip_uint64_t
nfragments,
int
freep);
zip_source_t *
zip_source_buffer_fragment_create(
zip_buffer_fragment_t
*fragments,
zip_uint64_t
nfragments,
int
freep,
zip_error_t
*error);
DESCRIPTION
The functions
zip_source_buffer_fragment() and
zip_source_buffer_fragment_create() create a zip source from
the data in
fragments.
nfragments
specifies the number of fragments. If
freep is non-zero,
the data will be freed when it is no longer needed.
struct zip_stat {
zip_uint8_t *data; /* pointer to the actual data */
zip_uint64_t length; /* length of this fragment */
};
The data
fragments point to must remain valid for the
lifetime of the created source.
fragments itself can be
discarded once the source is created.
The source can be used to open a zip archive from.
RETURN VALUES
Upon successful completion, the created source is returned. Otherwise,
NULL
is returned and the error code in
archive or
error is set to
indicate the error.
ERRORS
zip_source_buffer() and
zip_source_buffer_create() fail if:
-
-
- [
ZIP_ER_INVAL
]
- nfragments is greater than zero and
fragments is
NULL
.
-
-
- [
ZIP_ER_MEMORY
]
- Required memory could not be allocated.
SEE ALSO
libzip(3),
zip_add(3),
zip_open_from_source(3),
zip_replace(3),
zip_source(3)
HISTORY
zip_source_buffer_fragment() and
zip_source_buffer_fragment_create() were added in libzip
1.4.0.
AUTHORS
Dieter Baron
<
<EMAIL_ADDRESS>and
Thomas Klausner
<
tk@giga.or.at>


African expeditionary bomb flew over a land of orient Libya Wednesday, descending digit bombs on an area mostly dominated by the opposition.
Youths in Ajdabiya were amassing and heading toward the conflict area to help defend the town, which has been in the control of rebel forces in recent days.
Not many North Koreans know anything about the pro-democracy unrest sweeping through the Middle East and North Africa. But South Korean activists and some politicians are trying to change that, sending helium balloons skywards across the border carrying hundreds of thousands of leaflets and DVDs.U.S. military aircraft and French charter jets joined efforts to return home tens of thousands of people fleeing the fighting in Libya, as the United Nations called for more aid. Tunisians living in the boarder area have been handing out food, drinks and clothing to refugees
-- even inviting refugees to stay in their homes in a spontaneous show of solidarity.


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EXPERIMENTAL
Postermaker
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A recently graduated physics and math student that wants to pivot into software engineering.


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About Me
Email<EMAIL_ADDRESS>Cellphone:<PHONE_NUMBER>
I am a 26 year old up-and-coming web developer from Venezuela and have been in the United States for a little under 14 years. I love swimming, playing board games and video games, and being on the computer in general. I have an A.A. in Engineering and seeking a B.S. in Computer Engineering. I am somewhat shy, especially in a group setting, but working on becoming more sociable!
With the experience from this bootcamp I would like to start a business. I have a friend with whom I exchange business ideas all the time and now I would have no problem creating a website for those ideas.


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Hypertext Markup Language
Hypertext Markup Language (HTML) is the standard markup language for creating web pages and web applications. With Cascading Style Sheets (CSS) and JavaScript, it forms a triad of cornerstone technologies for the World Wide Web[4].
Web browsers receive HTML documents from a web server or from local storage and render the documents into multimedia web pages. HTML describes the structure of a web page semantically and originally included cues for the appearance of the document. CSS is used to define the appearnce of elements in a web page.


Writing user-defined items
You can create your own item types in Tcl by subclassing the ComplexItem class. The tutorial gave a simple example of how to write such a class. These links point to more detailed information on writing ComplexItem subclasses.Of course, if you get stuck, looking at the classes supplied with the Slate might help too.


Mix v1.3.4 Mix.SCM behaviour
This module provides helper functions and defines the behaviour required by any SCM used by Mix.
Summary
Functions
Appends the given SCM module to the list of available SCMs
Returns all available SCMs. Each SCM is tried in order until a matching one is found
Prepends the given SCM module to the list of available SCMs
Callbacks
This behaviour function receives a keyword list of opts
and should return an updated list in case the SCM consumes
the available options. For example, when a developer specifies
a dependency
This behaviour function returns a boolean if the dependency is available
This behaviour function checks out dependencies
Receives two options and must return true
if they refer to the
same repository. The options are guaranteed to belong to the
same SCM
Returns a boolean if the dependency can be fetched or it is meant to be previously available in the filesystem
Returns a string representing the SCM. This is used when printing the dependency and not for inspection, so the amount of information should be concise and easy to spot
Returns a string representing the SCM. This is used when printing the dependency and not for inspection, so the amount of information should be concise and easy to spot
This behaviour function checks the status of the lock. In particular, it checks if the revision stored in the lock is the same as the repository it is currently in
Returns the usable managers for the dependency. This can be used if the SCM has extra knowledge of the dependency, otherwise it should return an empty list
This behaviour function updates dependencies. It may be
called by deps.get
or deps.update
Types
Functions
Callbacks
This behaviour function receives a keyword list of opts
and should return an updated list in case the SCM consumes
the available options. For example, when a developer specifies
a dependency:
{:foo, "0.1.0", github: "foo/bar"}
Each registered SCM will be asked if they consume this dependency,
receiving [github: "foo/bar"]
as argument. Since this option makes
sense for the Git SCM, it will return an update list of options
while other SCMs would simply return nil
.
This behaviour function returns a boolean if the dependency is available.
This behaviour function checks out dependencies.
If the dependency is locked, a lock is received in opts
and the repository must be check out at the lock. Otherwise,
no lock is given and the repository can be checked out
to the latest version.
It must return the current lock.
Receives two options and must return true
if they refer to the
same repository. The options are guaranteed to belong to the
same SCM.
Returns a boolean if the dependency can be fetched or it is meant to be previously available in the filesystem.
Local dependencies (i.e. non fetchable ones) are automatically recompiled every time the parent project is compiled.
Returns a string representing the SCM. This is used when printing the dependency and not for inspection, so the amount of information should be concise and easy to spot.
Returns a string representing the SCM. This is used when printing the dependency and not for inspection, so the amount of information should be concise and easy to spot.
If nil is returned, it means no lock information is available.
This behaviour function checks the status of the lock. In particular, it checks if the revision stored in the lock is the same as the repository it is currently in.
It may return:
:mismatch
- if the lock doesn’t match and we need to simply move to the latest lock:outdated
- the repository options are outdated in the lock and we need to trigger a full update:ok
- everything is fine
The lock is sent via opts[:lock]
but it may not always be
available. In such cases, if the SCM requires a lock, it must
return :lockmismatch
, otherwise simply :ok
.
Note the lock may also belong to another SCM and as such, an
structural check is required. A structural mismatch should always
return :outdated
.
Returns the usable managers for the dependency. This can be used if the SCM has extra knowledge of the dependency, otherwise it should return an empty list.
This behaviour function updates dependencies. It may be
called by deps.get
or deps.update
.
In the first scenario, a lock is received in opts
and
the repository must be updated to the lock. In the second,
no lock is given and the repository can be updated freely.
It must return the current lock.


{% if title %}
{{ title }}
{% else %}
THE PITCH MEDIA
{% endif %}
{% block styles%}
{{ super() }}
{% endblock %}
{%block content%}
THE 60 SEC's PITCH
Welcome!!!! In life, you only have 60 seconds to impress someone.One minute can make or break you. The 60 SEC' PITCH gives you a chance to impress your fellows in whichever field you like.
You have 60 seconds to write about yourself and say things that you believe will impress us.
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object EigenMeat.EigenMaze.Physics
A utility class with static methods for mobile collision handling.
| Constructor Summary | |
Physics()
|
| Method Summary | |
static boolean |
checkEntityCollision(MobileEntity e1,
MobileEntity e2)
Checks whether two MobileEntitys are colliding. |
static boolean |
checkSphereCollision(Vect3d p1,
float r1,
Vect3d p2,
float r2)
|
static void |
handleEdgeCollision(MobileEntity e1,
Vect3d impact)
Bounces an entity off an unmoving point of collision associated with a wall edge. |
static void |
handleEntityCollision(MobileEntity e1,
MobileEntity e2)
Bounces two entities off each other based on sphere collision. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public Physics()
| Method Detail |
public static boolean checkSphereCollision(Vect3d p1, float r1, Vect3d p2, float r2)
public static boolean checkEntityCollision(MobileEntity e1, MobileEntity e2)
e1
- the first entity.e2
- the second entity.
public static void handleEntityCollision(MobileEntity e1, MobileEntity e2)
e1
- the first entity.e2
- the second entity.public static void handleEdgeCollision(MobileEntity e1, Vect3d impact)
e1
- the entity.impact
- the point of collision.
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Car seats in Italy must have alarms so kids aren't forgotten
by EndPlayROME (AP) - Italy is requiring parents of young children to equip car seats with alarm devices so tots aren't forgotten by absent-minded adults.
A transport ministry decree went into effect on Thursday in a bid to prevent deaths, like that of a toddler in Sicily two months ago.
The devices must emit audio and visual signals that can been perceived both inside and outside the vehicle and that are triggered if the child in the car seat is left behind. The requirement applies to car seats for children younger than 4.
Violators risk fines up to 326 euros ($360) and losing points on their driver's license.


About
FLUXIA is an Ohio based company founded in 2016 by web designer and mobile application developer, Rachel Havas.
Rachel Havas has been a computer programmer with a focus on web design and application development since 2012. She is fluent in HTML, CSS, JavaScript, and PHP. While pursuing her Computer Science and Engineering degree at The Ohio State University, she created mobile apps using Java and PHP, and is proficient in C+, C++, and Python. Rachel loves using her creativity and technical skills to help make businesses, blogs, and other big ideas come to life. Her work maintains a minimalist approach that strives to give the user an easy and intuitive experience as they explore your content.
Rachel is a resident of Columbus, Ohio, where she lives with her husband Andrew, and their dog, Selene.


|
MoveToCode
|
This script allows for an object to be movable, scalable, and rotatable with one or two hands. More...
Public Types | |
| enum class | RotateInOneHandType { RotateAboutObjectCenter , RotateAboutGrabPoint } |
| Describes what pivot the manipulated object will rotate about when you rotate your hand. More... | |
| enum class | ReleaseBehaviorType { KeepVelocity = 1 << 0 , KeepAngularVelocity = 1 << 1 } |
Public Member Functions | |
| void | ForceEndManipulation () |
| Releases the object that is currently manipulated More... | |
| Vector3 | GetPointerGrabPoint (uint pointerId) |
| Gets the grab point for the given pointer id. More... | |
| void | OnPointerDown (MixedRealityPointerEventData eventData) |
| When a pointer down event is raised, this method is used to pass along the event data to the input handler. More... | |
| void | OnPointerDragged (MixedRealityPointerEventData eventData) |
| Called every frame a pointer is down. More... | |
| void | OnPointerUp (MixedRealityPointerEventData eventData) |
| When a pointer up event is raised, this method is used to pass along the event data to the input handler. More... | |
| void | OnPointerClicked (MixedRealityPointerEventData eventData) |
| When a pointer clicked event is raised, this method is used to pass along the event data to the input handler. More... | |
| void | OnBeforeFocusChange (FocusEventData eventData) |
| Focus event that is raised before the focus is actually changed. More... | |
| void | OnFocusChanged (FocusEventData eventData) |
| Focus event that is raised when the focused object is changed. More... | |
Properties | |
| Transform | HostTransform [get, set] |
| Transform that will be dragged. More... | |
| ManipulationHandFlags | ManipulationType [get, set] |
| Can manipulation be done only with one hand, only with two hands, or with both? More... | |
| TransformFlags | TwoHandedManipulationType [get, set] |
| What manipulation will two hands perform? More... | |
| bool | AllowFarManipulation [get, set] |
| Specifies whether manipulation can be done using far interaction with pointers. More... | |
| bool | UseForcesForNearManipulation [get, set] |
| Whether physics forces are used to move the object when performing near manipulations. More... | |
| RotateInOneHandType | OneHandRotationModeNear [get, set] |
| Rotation behavior of object when using one hand near More... | |
| RotateInOneHandType | OneHandRotationModeFar [get, set] |
| Rotation behavior of object when using one hand at distance More... | |
| ReleaseBehaviorType | ReleaseBehavior [get, set] |
| Rigid body behavior of the dragged object when releasing it. More... | |
| bool | SmoothingActive [get, set] |
| Obsolete: Whether to enable frame-rate independent smoothing. More... | |
| bool | SmoothingFar [get, set] |
| Whether to enable frame-rate independent smoothing for far interactions. More... | |
| bool | SmoothingNear [get, set] |
| Whether to enable frame-rate independent smoothing for near interactions. More... | |
| float | MoveLerpTime [get, set] |
| Enter amount representing amount of smoothing to apply to the movement. More... | |
| float | RotateLerpTime [get, set] |
| Enter amount representing amount of smoothing to apply to the rotation. More... | |
| float | ScaleLerpTime [get, set] |
| Enter amount representing amount of smoothing to apply to the scale. More... | |
| bool | EnableConstraints [get, set] |
| Enable or disable constraint support of this component. More... | |
| ConstraintManager | ConstraintsManager [get, set] |
| Constraint manager slot to enable constraints when manipulating the object. More... | |
| ElasticsManager | ElasticsManager [get, set] |
| Elastics Manager slot to enable elastics simulation when manipulating the object. More... | |
| ManipulationEvent | OnManipulationStarted [get, set] |
| Unity event raised on manipulation started More... | |
| ManipulationEvent | OnManipulationEnded [get, set] |
| Unity event raised on manipulation ended More... | |
| ManipulationEvent | OnHoverEntered [get, set] |
| Unity event raised on hover started More... | |
| ManipulationEvent | OnHoverExited [get, set] |
| Unity event raised on hover ended More... | |
This script allows for an object to be movable, scalable, and rotatable with one or two hands.
You may also configure the script on only enable certain manipulations. The script works with both HoloLens' gesture input and immersive headset's motion controller input.
Describes what pivot the manipulated object will rotate about when you rotate your hand.
This is not a description of any limits or additional rotation logic. If no other factors (such as constraints) are involved, rotating your hand by an amount should rotate the object by the same amount. For example a possible future value here is RotateAboutUserDefinedPoint where the user could specify a pivot that the object is to rotate around. An example of a value that should not be found here is MaintainRotationToUser as this restricts rotation of the object when we rotate the hand.
| Enumerator | |
|---|---|
| RotateAboutObjectCenter | |
| RotateAboutGrabPoint |
| void Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.ForceEndManipulation | ( | ) |
Releases the object that is currently manipulated
| Vector3 Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.GetPointerGrabPoint | ( | uint | pointerId | ) |
Gets the grab point for the given pointer id.
Only use if you know that your given pointer id corresponds to a pointer that has grabbed this component.
| void Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.OnBeforeFocusChange | ( | FocusEventData | eventData | ) |
Focus event that is raised before the focus is actually changed.
Useful for logic that needs to take place before focus changes.
Implements Microsoft.MixedReality.Toolkit.Input.IMixedRealityFocusChangedHandler.
| void Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.OnFocusChanged | ( | FocusEventData | eventData | ) |
Focus event that is raised when the focused object is changed.
Implements Microsoft.MixedReality.Toolkit.Input.IMixedRealityFocusChangedHandler.
| void Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.OnPointerClicked | ( | MixedRealityPointerEventData | eventData | ) |
When a pointer clicked event is raised, this method is used to pass along the event data to the input handler.
Implements Microsoft.MixedReality.Toolkit.Input.IMixedRealityPointerHandler.
| void Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.OnPointerDown | ( | MixedRealityPointerEventData | eventData | ) |
When a pointer down event is raised, this method is used to pass along the event data to the input handler.
Implements Microsoft.MixedReality.Toolkit.Input.IMixedRealityPointerHandler.
| void Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.OnPointerDragged | ( | MixedRealityPointerEventData | eventData | ) |
Called every frame a pointer is down.
Can be used to implement drag-like behaviors.
Implements Microsoft.MixedReality.Toolkit.Input.IMixedRealityPointerHandler.
| void Microsoft.MixedReality.Toolkit.UI.ObjectManipulator.OnPointerUp | ( | MixedRealityPointerEventData | eventData | ) |
When a pointer up event is raised, this method is used to pass along the event data to the input handler.
Implements Microsoft.MixedReality.Toolkit.Input.IMixedRealityPointerHandler.
|
getset |
Specifies whether manipulation can be done using far interaction with pointers.
|
getset |
Constraint manager slot to enable constraints when manipulating the object.
|
getset |
Elastics Manager slot to enable elastics simulation when manipulating the object.
|
getset |
Enable or disable constraint support of this component.
When enabled, transform changes will be post processed by the linked constraint manager.
|
getset |
Transform that will be dragged.
Defaults to the object of the component.
|
getset |
Can manipulation be done only with one hand, only with two hands, or with both?
|
getset |
Enter amount representing amount of smoothing to apply to the movement.
Smoothing of 0 means no smoothing. Max value means no change to value.
|
getset |
Rotation behavior of object when using one hand at distance
|
getset |
Rotation behavior of object when using one hand near
|
getset |
Unity event raised on hover started
|
getset |
Unity event raised on hover ended
|
getset |
Unity event raised on manipulation ended
|
getset |
Unity event raised on manipulation started
|
getset |
Rigid body behavior of the dragged object when releasing it.
|
getset |
Enter amount representing amount of smoothing to apply to the rotation.
Smoothing of 0 means no smoothing. Max value means no change to value.
|
getset |
Enter amount representing amount of smoothing to apply to the scale.
Smoothing of 0 means no smoothing. Max value means no change to value.
|
getset |
Obsolete: Whether to enable frame-rate independent smoothing.
|
getset |
Whether to enable frame-rate independent smoothing for far interactions.
Far smoothing is enabled by default.
|
getset |
Whether to enable frame-rate independent smoothing for near interactions.
Note that enabling near smoothing may be perceived as being 'disconnected' from the hand.
|
getset |
What manipulation will two hands perform?
|
getset |
Whether physics forces are used to move the object when performing near manipulations.
Setting this to false
will make the object feel more directly connected to the users hand. Setting this to true
will honor the mass and inertia of the object, but may feel as though the object is connected through a spring. The default is false
.


Source code for multi_uav.SwarmControl
import os
import sys
import socket, time
# This makes sure the path which python uses to find things when using import
# can find all our code.
sys.path.insert(0, os.path.abspath('..'))
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
# Import qt modules (platform independant)
import ardrone.util.qtcompat as qt
QtCore = qt.import_module('QtCore')
QtNetwork = qt.import_module('QtNetwork')
# Import helpful classes
from . import SwarmStates as State
from . import Navigator
[docs]class SwarmControl(object):
"""
The base class for overseeing cooperative control of multiple drones.
Uses navigation logic (from Navigator class) and task logic (from Swarm States) to decide on actions.
Actions are sent to each drone's Individual Controller.
"""
def __init__(self,drones,drone_controllers): # Will want to add in _drone2 in time
# --- STORE VARIABLES ---
self.drones = drones # tuple of drone ids
self.swarm_status = {};
# --- STORE POINTERS ---
self.drone_controllers = drone_controllers
# --- INITIALISE APPLICATION OBJECTS ----
#self._status_viewer = # add at some point
self._navigator = Navigator.Navigator(self.drones)
# Setup timer to detect for state changes
self.check_timer = QtCore.QTimer()
self.check_timer.setInterval(1000) # ms
self.check_timer.timeout.connect(self.action)
# States
self._state = -1
self.state_id = -1
def start_program(self):
print("======Program started======")
# Enter initial state
self._state = State.SetupState(self,self.drones,self.drone_controllers)
self._state.next_state(0)
# Start SwarmControl timing loop
self.check_timer.start()
[docs] def action(self):
"""
Decide what to do.
"""
# First, go into Setup State
if self.state_id == -1:
self.transition_to_state(0)
# If in Setup State, then transition to Bad State
if self.state_id == 0:
self.transition_to_state(1)
# If in Bad State, then transition to Good State
if self.state_id == 1:
self.transition_to_state(2)
# If in Good State, then maintain
if self.state_id == 2:
self.maintain_state()
[docs] def send_routes(self,routes,send_to):
"""
Function which gives drones a route in the form of a list of marker ids.
Only drone ids defined in the 'send_to' parameter are sent to.
send_to must be a list or tuple
"""
for drone in self.drones:
if drone in send_to:
print("update drone %s with route %s" % (drone,routes[self.drones.index(drone)]))
self.drone_controllers[self.drones.index(drone)].update_route(routes[self.drones.index(drone)])
[docs] def maintain_state(self):
"""
Maintain current state.
"""
self._state.maintain()
[docs] def transition_to_state(self,state_id):
"""
Progress to new state.
"""
self._state.transition(state_id)
def update(self,status):
self.swarm_status = status
[docs] def change_state(self,state):
"""
Function called to update the state used by the SwarmController object
"""
self._state = state[0]
self.state_id = state[1]


---
layout: post
title: A simple solution to America's Social Security Problem
date: 2011-08-06 16:00:54.000000000 -05:00
comments: true
categories: []
published: true
---
TL;DR - Legalize all illegal immigrants and have an open immigration policy that makes up for the shortfall in the workforce.
Long version
The way Social Security works is, every dollar you pay in taxes today, goes to paying the check for a retiree.
To get a full appreciation for the Social Security Problem, let's run some quick math.
Let's assume that each Baby Boomer is retiring at the age of 65. Also assume that each retiree lives for 30 years after retirement.
Also assume that each retiree is expecting to get $45K/year - which is likely to be VERY conservative, but, for simplicity's sake let's just use $45K/year.
Each retiree would have to be paid $45K * 30 years = $1.35M during retirement (let's round it up to $1.5M to make it easier on the math).
Also assume that there is a gap of about 30 million people, meaning there are 30 million more people retiring (i.e. baby boomers) than there are replacing them (i.e. young people entering the work force for the first time) - and the gap could be wider, but for math's sake, let's go with that.
That means, it's: 30,000,000 people * $1.5M = $45,000,000,000,000 (i.e. $30 Trillion)
This ignores the health care related expenses for those retirees. This is a major problem, and this is what people mean when they say that Social Security is 'unfunded'. i.e. there is a chunk of retirees that have no one just entering the workforce that will support them.
Solution: Expand the workforce to be greater than the number of retirees. i.e. Legalize all the illegal immigrants and open the gates so anyone can come and work in America....up to a comfortable number over and above the number of retirees.
Obviously, I know there are political consequences to making a move like this and other repercussions, but if America's leaders were honest enough about this solution they would start having this debate and figuring out how to solve it properly. This solution would also have to be done in tandem with other things like raising the retirement age, migrating from Defined Benefits to Defined Contribution, etc. But, by far, this solution would take care of the major driver of the problem - that more people are retiring than entering the workforce.
It really is that simple.
You can follow me on Twitter here.


The DigitalSelf project at Rutgers University focuses on developing tools and techniques to manage (organize, search, summarize, make inferences on and personalize) heterogeneous collections of personal digital traces.
The DigitalSelf project at Rutgers University focuses on developing tools and techniques to manage (organize, search, summarize, make inferences on and personalize) heterogeneous collections of personal digital traces.


Portlet Ratings and Comments
{{rating.portlet_id}} - {{rating.ratingDate}} - {{rating.user_name}} - {{rating.rating}}
{{rating.review}}
{{rating.ratingDate}} - {{rating.rating}} - {{rating.review}} - {{rating.user_name}}


Scan from WebCam:
Highlight Style
Default style
Example custom style 1
Example custom style 2
Show scan region canvas
Scan original (dark QR code on bright background)
Scan with inverted colors (bright QR code on dark background)
Scan both
Device has camera:
Preferred camera:
Environment Facing (default)
User Facing
Camera has flash:
📸 Flash:
off
Detected QR code:
None
Last detected at:
Start
Stop
Scan from File:
Detected QR code:
None


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 1
This healthy noodle soup combines heady “umami” Japanese flavours. You can find most of the ingredients in an Asian supermarket.
For the miso broth, place a saucepan of water over a medium heat and add the kombu seaweed.
Add the dashi powder, stir and leave to simmer for a few minutes. Add the grated ginger, white miso paste, sugar and mirin. Taste and adjust the amount of sugar or mirin if necessary. Keep warm.
For the stir-fried greens, heat a wok with a little vegetable oil until shimmering, add the sliced garlic and fry gently for 10 seconds. Tip in the sliced mushrooms, bok choi, kale, courgette and sugar snap peas.
Keep stirring the contents of the wok and cook for two minutes or so, then add the soy sauce, enoki mushrooms and all but a teaspoon of the spring onions.
Meanwhile, bring a second pan, filled with water, to the boil.
Fry the vegetables until slightly softened, then add all but a pinch of the schicimi pepper and sesame seeds.
Drop the udon noodles into the boiling water and cook for a few minutes, or until heated through, and then drain.
To finish the miso broth, add the tofu cubes to the broth.
To serve, lay the udon noodles in the bottom of a bowl, place the stir-fried greens on top and then ladle over the miso broth. Finish with the reserved finely sliced spring onion and a pinch of both the shichimi and sesame seeds.


sprotty Examples
sprotty
is a web-based diagramming framework. For information how to use these examples see
Using sprotty
.
With server
(requires to run
./gradlew jettyRun
in the directory
server
)
Crossflow with Xtext:
TBD


{% load static %}
Hello {{ request.user.initials }}! | Song Rankings | Pipelines | Calendar | Choppers | Admin


This is the course website for IS590 Data Visualization in Spring 2019 (Online)
This week our objectives will be to (1) spend more time looking at different kinds of map visualizations, (2) we’ll introduce the topics of networks and think about how to visualize them.
Map Viz Motivation: examples of mappable data and even more examples of data on maps.
Network Viz Motivation: social networks and many network viz platforms.


Emotional intelligence (otherwise known as emotional quotient or EQ) is the ability to understand, use, and manage your own emotions in positive ways to relieve stress, communicate effectively, empathise with others, overcome challenges and defuse conflict. Source.
Emotional intelligence has been defined, by Peter Salovey and John Mayer, as "the ability to monitor one's own and other people's emotions, to discriminate between different emotions and label them appropriately, and to use emotional information to guide thinking and behaviour”. Source.
According to Daniel Goleman , an American psychologist who helped to popularise emotional intelligence, there are five key elements to it: Source.
IQ, or intelligence quotient, is score derived from one of several standardised tests designed to assess an individual's intelligence.
 Source.
EQ is different in that it is much more about ones ability to engage with, and understand other human beings, as well as themselves. It’s how well they can work in a team, and within their own mind.
IQ is about ones ability to learn conceptual ideas, apply information skills and filter irrelevant information. EQ on the other hands is about how one feels, perceives, and assesses emotions in themselves and in others. It’s about understanding what drives those emotions / feelings, and what they mean.
EQ is important as it allows us to navigate life with an understanding of ourselves and those around us. It allows for us to take a step back and witness emotions as they appear and not be consumed by them, allowing for more thoughtful decisions to be made, and actions to be taken.
It’s much more useful to FEEL an emotion than to BE an emotion. EQ is our ability to distinguish between being consumed by the emotion and witnessing it.


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Results from initial needfinding interviews with local musicians and music instructors. People needed confidence, camaraderie, and chunks of learning.
Results from three experience prototypes: Inner Wolf Battle, Musical Pokemon, and A Cappella Escape the Room.
Video to demonstrate the concept of halfstep's three main tasks: have new goals outlined for you, see progress, and find a friend to work with.
Low fidelity protoype built with post-it notes focused on halfstep's three main tasks: have new goals outlined for you, see progress, and find a friend to work with.
Medium fidelity prototype built in Figma focused on a circle themed progression interface and halfstep's three revised main tasks: have new goals outlined for you, see progress, and be inspired by friends.
Results from heuristic evaluation of medium fidelity prototype done by section members.
High fidelity iOS prototype built with XCode and Swift.
Poster and pitch for demo day.


Here's a basic HTML template page to get you started.
In this section:<!DOCTYPE html>

<meta charset="utf-8">

<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
<title></title>
<meta name="description" content="">

<meta name="viewport" content="width=device-width, initial-scale=1.0">

<link rel="stylesheet" href="dist/css/main.css" type="text/css">

Hello World!

Add your content here.

lang
) helps screen-readers and translation software read your site (learn more). Be default, it's set to English. Change it as needed for your local language.img
folder.)


Haba Kibarber boasts of the most skillfull and profesional ink surgeons.
Come get your
tatoos and piercings at
an affordable price.
Most entising haircuts in the country
Come get yourself a nice haircut.
We style brides to get them ready for their wedding's
We do both manicure and pedicure for affordable prices
.
We weave brides' hair
.
For all the lovers of coloured hair.
Come get your hair dyed for an affordable price.


Provides interfaces for application level framework components and a few general user interface components. These components and interfaces must not rely on classes defined within the teal.sim packages.
Related Documentation


MS. MARIN
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Properties files are a popular mean of configuring applications. Of course Commons Configuration supports this format and enhances significantly the basic java.util.Properties class. This section introduces the features of the PropertiesConfiguration class. Note that PropertiesConfiguration is a very typical example for an implementation of the Configuration interface and many of the features described in this section (e.g. list handling or interpolation) are supported by other configuration classes as well. This is because most configuration implementations that ship with Commons Configuration are derived from the common base class AbstractConfiguration, which implements these features.
Let's start with a simple properties file named usergui.properties with the following content:
# Properties definining the GUI colors.background = #FFFFFF colors.foreground = #000080 window.width = 500 window.height = 300
To load this file, you'll write:
Configuration config = new PropertiesConfiguration("usergui.properties");
If you do not specify an absolute path, the file will be searched automatically in the following locations:
Instead of using a constructor that takes a file name you can also invoke one of the load() methods. There are several overloaded variants that allow you to load properties from various sources. More information about loading properties files (and file-based configurations in general) can be found in the section about File-based Configurations.
After the properties file was loaded you can access its content through the methods of the Configuration interface, e.g.
String backColor = config.getString("colors.background"); Dimension size = new Dimension(config.getInt("window.width"), config.getInt("window.height"));
If a property is named "include" and the value of that property is the name of a file on the disk, that file will be included into the configuration. Here is an example:
# usergui.properties include = colors.properties include = sizes.properties
# colors.properties colors.background = #FFFFFF
As was already pointed out in the section List handling of Basic features, Commons Configuration has the ability to return easily a list of values. For example a properties file can contain a list of comma separated values:
# chart colors colors.pie = #FF0000, #00FF00, #0000FF
You don't have to split the value manually, you can retrieve an array or a java.util.List directly with:
String[] colors = config.getStringArray("colors.pie"); List<Object> colorList = config.getList("colors.pie");
Alternatively, you can specify a list of values in your properties file by using the same key on several lines:
# chart colors colors.pie = #FF0000; colors.pie = #00FF00; colors.pie = #0000FF;
All of the features related to list handling described for AbstractConfiguration also apply to properties files, including changing the list delimiter or disabling list handling at all.
To save your configuration, just call the save() method:
PropertiesConfiguration config = new PropertiesConfiguration("usergui.properties"); config.setProperty("colors.background", "#000000); config.save();
You can also save a copy of the configuration to another file:
PropertiesConfiguration config = new PropertiesConfiguration("usergui.properties"); config.setProperty("colors.background", "#000000); config.save("usergui.backup.properties);
More information about saving properties files (and file-based configurations in general) can be found in the section about File-based Configurations.
If you need a special character in a property like a line feed, a tabulation or an unicode character, you can specify it with the same escaped notation used for Java Strings. The list separator ("," by default), can also be escaped:
key = This \n string \t contains \, escaped \\ characters \u0020
When dealing with lists of elements that contain backslash characters (e.g. file paths on Windows systems) escaping rules can become pretty complex. The first thing to keep in mind is that in order to get a single backslash, you have to write two:
config.dir = C:\\Temp\\
This issue is not specific to Commons Configuration, but is related to the standard format for properties files. Refer to the Javadocs of the load() method of java.util.Properties for more information. Now if you want to define a list with file paths, you may be tempted to write the following:
# Wrong way to define a list of directories config.dirs = C:\\Temp\\,D:\\data\\
As the comment indicates, this will not work. The trailing backslash of the first directory is interpreted as escape character for the list delimiter. So instead of a list with two elements only a single value of the property is defined - clearly not what was desired. To get a correct list the trailing backslash has to be escaped. This is achieved by duplicating it (yes, in a properties file that means that we now need 4 backslashes):
# Correct way to define a list of directories config.dirs = C:\\Temp\\\\,D:\\data\\
So a sequence of 4 backslashes in the value of a property is interpreted as an escaped backslash and eventually results in a single backslash. This creates another problem when a properties file should refer to the names of network shares. Typically these names start with two backslashes, so the obvious way to define such a property is as follows:
# Wrong way to define a list of network shares config.dirs = \\\\share1,\\\\share2
Unfortunately, this will not work because the shares contain the reserved sequence of 4 backslashes. So when reading the value of the config.dirs property a list with two elements is returned starting only with a single backslash. To fix the problem the sequence for escaping a backslash has to be duplicated - we are now at 8 backslashes:
# Correct way to define a list of network shares config.dirs = \\\\\\\\share1,\\\\\\\\share2
As becomes obvious, escape sequences can become pretty complex and unreadable. In such situations it is recommended to use the alternative way of defining a list: just use the same key multiple times. In this case no additional escaping of backslashes (beyond the usual duplicating required by properties files) is needed because there is no list delimter character involved. Using this syntax the list of network shares looks like the following:
# Straightforward way to define a list of network shares config.dirs = \\\\share1 config.dirs = \\\\share2
Each PropertiesConfiguration object is associated with a Layout object, an instance of the class PropertiesConfigurationLayout. This layout object is responsible for preserving most of the structure of loaded configuration files. This means that things like comments or blank lines in a saved properties file will closely resemble the original properties file (the algorithm is not 100 percent perfect, but for most use cases it should be sufficient).
Normally a developer does not have to deal with these layout objects. However, there are some methods that might be of interest if enhanced control over the output of properties files is needed. The following list describes these methods (note that corresponding get methods are of course also provided):
There are situations when more control over the process of reading and writing properties file is needed. For instance, an application might have to deal with some legacy properties file in a specific format, which is not supported out of the box by PropertiesConfiguration, but must not be modified. In these cases it is possible to inject a custom reader and writer for properties files.
Per default properties files are read and written by the nested classes PropertiesReader and PropertiesWriter (defined within PropertiesConfiguration). These classes are regular reader and writer classes (both are derived from typical base classes of the java.io package) that provide some additional methods making dealing with properties files more convenient. Custom implementations of properties readers and writers must extend these base classes.
For installing a custom properties reader or writer PropertiesConfiguration provides the IOFactory interface (which is also defined as a nested class). An object implementing this interface is stored in each PropertiesConfiguration instance. Whenever a properties file is to be read or written (i.e. when one of the load() or save() methods is called), the IOFactory object is asked for creating the properties reader or writer to be used.
The IOFactory interface is pretty simple; it defines one method for creating a properties reader and another one for creating a properties writer. A default implementation called DefaultIOFactory is also available and is used by PropertiesConfiguration when no specific IOFactory is set. To make this discussion more concrete we provide an example of how to inject a custom properties reader. The use case is that we have to load a properties file that contains keys with whitespace, which is not supported by PropertiesConfiguration per default. A fragment from such a properties file could look as follows:
Background Color = #800080 Foreground Color = #000080
The first step is to create a custom properties reader implementation that can deal with such properties. The class is derived from PropertiesConfiguration.PropertiesReader and overrides the parseProperty() method:
public class WhitespacePropertiesReader extends PropertiesConfiguration.PropertiesReader { public WhitespacePropertiesReader(Reader in, char delimiter) { super(in, delimiter); } /** * Special algorithm for parsing properties keys with whitespace. This * method is called for each non-comment line read from the properties * file. */ protected void parseProperty(String line) { // simply split the line at the first '=' character // (this should be more robust in production code) int pos = line.indexOf('='); String key = line.substring(0, pos).trim(); String value = line.substring(pos + 1).trim(); // now store the key and the value of the property initPropertyName(key); initPropertyValue(value); } }
Notice the calls to the methods initPropertyName() and initPropertyValue(). Here the results of the parsing operation are stored. The next step is to provide a specialized implementation of the IOFactory interface that returns the new properties reader class. As we only want to replace the properties reader (and use the standard writer), we can derive our implementation from DefaultIOFactory and thus only have to override the createPropertiesReader() method.
public class WhitespaceIOFactory extends PropertiesConfiguration.DefaultIOFactory { /** * Return our special properties reader. */ public PropertiesReader createPropertiesReader(Reader in, char delimiter) { return new WhitespacePropertiesReader(in, delimiter); } }
Finally an instance of our new IOFactory implementation has to be created and passed to the PropertiesConfiguration object. This must be done before the load() method is called. So we cannot use one of the constructors that load the data. The code for setting up the configuration object could look as follows:
PropertiesConfiguration config = new PropertiesConfiguration(); config.setIOFactory(new WhitespaceIOFactory()); config.setFile(...); // set the file to be loaded config.load();


I'm a 76 year old Web developer from Sofia. I drink rakiya and beer every day. I was the first person in Bulgaria who started learning HTML in 1990.
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jl777c
14-Dec-18 10:30 AM
notaries help decide which is the real chain
it uses a stochastic distributed consensus method that no single node controls
notarizations are validated by all nodes, making the complete process decentralized
now in politicized chain split scenarios where central actors are already at play, sure, the notarization provides another reference point
since in a a politicized scenario, it has little to do with technology, consensus protocols, etc. it seems moot the effect of having or not having notarization has on the process.


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The GLSL keyword not is also a keyword in C++. To prevent name collisions, the GLSL not function has been implemented with the name not_.
GLM supports half float number types through the extension GLM_GTC_half_float. This extension provides the types half, hvec*, hmat*x* and hquat*.
Unfortunately, C++ 98 specification doesn’t support anonymous unions which limit hvec* vector components access to x, y, z and w.
However, Visual C++ does support anonymous unions if the language extensions are enabled (/Za to disable them). In this case GLM will automatically enables the support of all component names (x,y,z,w ; r,g,b,a ; s,t,p,q).
To uniformalize the component access across types, GLM provides the define GLM_FORCE_ONLY_XYZW which will generates errors if component accesses are done using r,g,b,a or s,t,p,q.
#define GLM_FORCE_ONLY_XYZW #include <glm/glm.hpp>


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Panagiotis Semertzidis
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Explore Projects Contact meA junior web developer and an electrical engineer
Explore Projects Contact meUI/UX design, front-end design, full development of the app.
In this project I developed a program which finds every pixel's color anywhere in the screen. I also developed the website of these app. You can download the app from the website. It's an open source project. You can find the code here. I redesign the web page of the app. You can find both of them if you click on the button bellow.
Old Site New SiteUI/UX design, front-end design, full development of the app.
In this project I developed a program which lets a user to login and manipulate onedrive from the terminal. I also developed the website of these app. You can download the app from the website. It's an open source project. You can find the code here. I redesign the web page of the app. You can find both of them if you click on the button bellow.
Old Site New SiteFull development of the app.
In this project I developed a program which is a simple implementation of less for Windows. You can download the app from github. It's an open source project.
Source CodeI am an electrical engineer and computer engineer student at AUTH University of Thessaloniki. I like coding most of the time in python or javascript. If you want to contact me, you can find me at semepana@auth.gr


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Hi, i'm Tan. I'm 7 years experienced engineer.
Technical Skill
- PHP (FuelPHP, Laravel, Codeigniter, symfony, Zend): Professional.
- Android (Java/Kotlin): No need support.
- Javascript (AngularJS, VueJs, Jquery): No need support.
- Mysql: No need support.
- Unix/Linux Server Operation: No need support.
- HTML, CSS: No need support.
Recent Projects
- Platform construction (2018/06-2018/11) (XXX Corporation)
+ Language: Java
+ Platform: Android 8
+ Technical: Azure cloud, REALM DB, IOT, Firebase Cloud Messaging, Google Analytics
- Tcross news (https://www.tcross.co.jp/) (2018/04-2018/06)
+ Language: PHP
+ Platform: Website
+ Framework: Drupal
- Travel service: (2017/11-2018/04)
A service that allows users to create and purchase trips.
+ Language: PHP
+ Platform: Website
+ Framework: FuelPHP
+ Technical: GMO payment gateway, Amazon RDS, Amazon deployment, Amazon S3, Load balancer, Master and slave DB, Memcached...
- Japan castle news (http://shirobito.jp) (2017/09-2017/11)
+ Language: PHP
+ Platform: Website
+ Framework: FuelPHP
+ Technical: Amazon RDS, Amazon deployment, Amazon S3
- English courses (Benesse Corporation) (2016/05-2016/12)
+ Language: Javascript
+ Platform: Website
+ Framework: AngularJS
- Japan's events news - Meetup - Make friend (https://www.amiple.com/) (2015/06-2018/11)
+ Language: PHP, Java
+ Platform: Website, Android, API
+ Technical: Amazon RDS, Amazon deployment, Amazon S3, Load balancer, Master and slave DB


In a lecture hall with 300 students it is difficult for professors to keep track of which students have questions, causing students to keep their hands raised for an extended period of time. Additionally, when students speak it is often hard for the professor and the rest of the lecture hall to hear them.
Q-up solves this unnecessary difficulty by helping the professor organize the student queue more efficiently and spread the students’ questions more audibly.
When students have a question, they can simply tap on a virtual hand in the phone app and wait in the queue until the professor is ready to call on the them. This helps the professor easily keep track of who to call on next.
When the professor calls on the student, the student may talk on their phone and have their question broadcast throughout the lecture hall from the professor’s speakers enhancing the overall lecture experience.


My overall goal as a researcher is to help translate our understanding of Cancer Biology and Immunology to develop personalized therapies and diagnostics to transform clinical practice to benefit patient health.
As a multi-disciplinary scientist working at the intersection of Molecular/Cell Biology and Data Science, I am particularly excited and motivated to conduct scientific research and develop computational methods for personalized cancer immunotherapies. To accomplish this, I can be found either at the bench - doing laboratory work, or on the computational front - running bioinformatics analysis.
Laboratory Activities
In the wet lab, I take great pride in conducting innovative research designed to identify and validate immune-based therapies for cancer. From experimental design, to assay development, to protocol optimization, to biological tools generation and instrument maintenance, I use my skills to help advance research platforms and enable my colleagues to do great science.
Bioinformatics Work
My activities on the computational bioloy side provide me with another set of amazing opportunities. First, I get to develop computational tools/software and methods that enable cancer immunotherapy research. I also get to explore and analyze multi-dimensional data (clinical and pre-clinical datasets) as part of the broader efforts to study identify novel targets, and characterize the biological mechanisms of action of novel immunotherapeutic product candidates for the treatment of cancer.


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