Time and Habits Blog
30/06/2016
Which timebox and habits techniques did you try?
Meditation, mindfulness, pomodoro and timeboxing
What did you find interesting?
I don't think I mashed too well with the pomodoro technique, I tend to want to spend heaps of time on something I enjoy or not want to touch something I'm not enjoying and put the bare minimum into it.
Maybe if I used to makle myself commit more time to tasks I wasn't enjoying it could be helpful. At the moment though I think stopping on 25 mins is just going to make me lose where I am and frustrate me.
What worked for you?
Meditating before studying after doing other things during the day helped me to get into a calmer zone where I can just work on my study and not focus on anything else, I'll continue to try this for sure.
Which will you experiment further with?
Meditation, my mother does it a lot and I think I benefited greatly from it, never really given it a shot for some reason despite being prompted to by her quite a few times in the past.


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Spectroscopic database fitting
The first step in fitting astronomical observations is loading astronomical observations.Dealing with astronomical observations
Astronomical observations can be handled by the 'AmesPAHdbIDLSuite_Observation'-object, which is able to read text, ISO-SWS, and Spitzer-IRS-files. A convenience routine is available to manage units; AmesPAHdbIDLSuite_CREATE_OBSERVATION_UNITS_S.
observation = OBJ_NEW('AmesPAHdbIDLSuite_Observation', $
'myObservationFile', $
Units=AmesPAHdbIDLSuite_CREATE_OBSERVATION_UNITS_S())
In addition, an 'AmesPAHdbIDLSuite_Observation'-object can be created using keyword-initializers.
observation = OBJ_NEW('AmesPAHdbIDLSuite_Observation', X=frequency, $
Y=intensity, $
ErrY=ystdev, $
Units=AmesPAHdbIDLSuite_CREATE_OBSERVATION_UNITS_S())
The 'AmesPAHdbIDLSuite_Observation'-object exposes the observation and provides the 'Plot', and 'Write'-methods for output. The 'Plot'-method will display the observation and accepts the 'Oplot', and 'Color'-keywords to control overplotting and color, respectively. Through IDL's keyword inheritance mechanism additional keywords accepted by IDL's 'PLOT'-procedure can be passed.
observation->Plot,XRANGE=[2.5,15],/XSTYLE
The 'Write'-method will write the observation to a single text (.txt) file. Optionally, a prefix can be given that will be prepended to the filename.
observation->Write,'myPrefix'
NB Text-files can have up to five columns, organized as follows. Column 1: abscissa, Column 2: ordinate, Column 3: continuum, Column 4: uncertainty in ordinate, and Column 5: uncertainty in abscissa.
The 'AmesPAHdbIDLSuite_Observation'-object's 'Rebin', 'AbscissaUnitsTo', and 'SetGridRange'-methods can rebin the observation onto a specified grid or, with the 'Uniform'-Keyword set, onto a uniform created grid with specified sampling; convert the units associated with the abscissa; and change the grid range, respectively.
observation->Rebin,myGrid
observation->Rebin,5D,/Uniform
observation->AbsciccaUnitsTo
observation->SetGridRange,500,2000
Database fitting
Spectroscopic database fitting is handled by the 'AmesPAHdbIDLSuite_Spectrum'-object and it either accepts an 'AmesPAHdbIDLSuite_Observation'-object, or a simple array of ordinates with an optional array of ordinate uncertainties. Whether ordinate uncertainties are provided or not, the 'AmesPAHdbIDLSuite_Spectrum'-object's 'Fit'-method will perform a non-negative least-chi-square or non-negative least-square fit and return an 'AmesPAHdbIDLSuite_Fitted_Spectrum'-object.
fit = spectrum->Fit(intensity, uncertainty)
The 'AmesPAHdbIDLSuite_Fitted_Spectrum'-object exposes the fit and provides the 'Plot', and 'Write'-methods for output. The 'Plot'-method accepts the 'Residual', 'Size', 'Charge', 'Composition' and 'DistributionSize-'keywords, which selectively display the residual of the fit, or either the size, charge, compositional breakdown, the size distribution. Without these keywords the fit itself is displayed.
fit->Plot,/Charge
Optionally, the 'Wavelength', 'Stick', 'Oplot', 'Legend', and 'Color'-keywords can be given to the 'Plot'-method to control the abscissa, stick representation, overplotting, legend and color, respectively. Through IDL's keyword inheritance mechanism additional keywords accepted by IDL's 'PLOT'-procedure can be passed.
fit->Plot,/Size,/Wavelength,XTITLE=[2.5,15],/XSTYLE
The 'AmesPAHdbIDLSuite_Fitted_Spectrum'-object's 'Write'-method will write the fit to a single text (.txt) file. Optionally, a prefix can be given that will be prepended to the filename.
fit->Write,'myPrefix'
The 'AmesPAHdbIDLSuite_Fitted_Spectrum'-object's 'GetClasses', and 'GetBreakdown'-methods return the fit broken down by charge, size, and composition, where the first provides the spectrum for each component and the latter its relative contribution.
classes = fit->getClasses()
breakdown = fit->getBreakdown()
Optionally the 'Small' keyword can be set, which controls the small cutoff size in number of carbon atoms.
classes = fit->getClasses(Small=20L)
The 'GetBreakdown'-method also accepts the 'Flux'-keyword, which controls whether the relative breakdown should be reported based on fitted weight or integrated flux.
breakdown = fit->getBreakdown(/Flux)
The quality of a fit can be assessed using the 'AmesPAHdbIDLSuite_Fitted_Spectrum'-object's 'GetError'-method, which returns a struct with the integral of the absolute residual over the integral of the observations for the entire spectrum and piecewise for the different PAH bands.
error =fit->getError()
Monte Carlo
Neither non-negative least-chi-square and non-negative least-square fits provide uncertainties on their own. However, in combination with a Monte Carlo approach that varies the observed spectrum within its uncertainties they can.
Monte Carlo fitting is handled by the 'AmesPAHdbIDLSuite_Spectrum'-object and it either accepts an 'AmesPAHdbIDLSuite_Observation'-object, or a simple array of ordinates with a required array of ordinate uncertainties, and the number of samples. The 'AmesPAHdbIDLSuite_Spectrum'-object's 'MCFit'-method will perform a non-negative least-chi-square fit and return an 'AmesPAHdbIDLSuite_MCFitted_Spectrum'-object.
mcfit = spectrum->MCFit(observation, 5000L)
The 'AmesPAHdbIDLSuite_MCFitted_Spectrum'-object offers mostly the same set of methods as the regular 'AmesPAHdbIDLSuite_Fitted_Spectrum'-object does, but transparently handles the necessary Monte Carlo statistics. For example, the 'AmesPAHdbIDLSuite_MCFitted_Spectrum'-object's 'GetClasses' returns spectra of the fit broken down by charge, size, and composition. The statistics are as returned by IDL's 'MOMENT'-function, i.e., a four elements containing the mean, variance, skewness, and kurtosis.
mcclasses = mcfit->getClasses()


This is a simple spreadsheet that can be used to manually check the output dimensions of any neural network, layer after layer.
For now, the operations allowed are convolutions and poolings. The dimensions are computed from the parameters of each layer, namely the kernel size , the padding , the stride and the dilation rate using the formula:
Simply fill the spatial dimension of your input tensor here:
| Input | Output |
|---|---|
| 320 |
and the parameters of each layer of the network here:
Note: a "!" in the "Output" column means the dimension is < 0.


Kim Wilde hails the ‘immense impact’ Greta Thunberg has had on her family
The singer, 59, said the teenage activist had influenced her and her two children.
Kim Wilde has defended Greta Thunberg against her critics, saying the debate over climate change is “not about” the teenage activist being an “icon”.
The Kids In America singer, 59, said Thunberg had had an “immense impact” on how she and her children viewed the environment.
Wilde, who shares two children with her actor husband Hal Fowler, praised 16-year-old Thunberg for pointing the public towards the science.
Donald Trump, Piers Morgan and Jeremy Clarkson are among those who have criticised Thunberg, with The Grand Tour host Clarkson calling her a “spoilt brat”.
The English pop star told the PA news agency: “Greta Thunberg has had an immense impact on the world and especially on people, not least the young people living in our house.
“We have always tried to do our best in recycling and looking very hard at what we buy but, of course, like most households, there is massive room for improvement.
“I would say Greta has kick-started my family into a better, sustainable, environmentally friendly wave.”
She said she tried to cut down on waste and recycle but admitted to still flying for her work.
“I still fly and I drive a car,” she said.
“I still do all those things that a lot of us do. But I am very, very mindful and I do try to mitigate my impact on the planet.
“I think the way that she points everyone to the science is very compelling. It’s not about her opinion and it’s not about her being an icon. It’s not about her at all.
“She is an incredible messenger. She keeps pointing at the obvious: ‘Listen to the science.’
“I love that.
“She has aligned in that thinking and that is incredibly powerful.”
She is the daughter of Marty Wilde, the 50s rock and roll star who shot to fame with songs such as A Teenager In Love, Jezebel and Donna.
Wilde said she had not spoken to her father, 80, about the issue and suggested the older generations might be less willing to radically alter their lifestyles to stop climate change.
She added: “It’s not something we have discussed recently, I have to say. I think it’s not just for the young people to act, obviously. It is a cross-generation thing.
“Maybe the older generation are used to a lifestyle and aren’t willing to make changes. I don’t know. I wouldn’t generalise about that.
“It seems to be a subject that knows no age boundary. And why should it? It affects everyone young and old.”
Here Come The Aliens, Wilde’s 14th record released last year, peaked at number 21 in the charts and followed her first UK theatre tour in nearly 30 years.
Wilde embarks on another UK tour next year, starting at The Sage in Gateshead on September 16 and ending at Cliffs Pavilion in Southend on September 27.


fun features(): List<Attribute<TAttribute>>
Gets the non-class Attributes belonging to this instance.
Returns
The non-class features.
val features: List<Attribute<TAttribute>>
A collection of Attributes that this instance represents.
features
- A collection of Attributes that this instance represents.
See Also


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--- authors: ["lcollado"] date: 2020-02-29 17:00:00+00:00 title: 'From Bioconductor users to developers: our first community submission' slug: from-bioconductor-users-to-developers-our-first-community-submission categories: ["rstats"] tags: ["Bioconductor", "Developer Alumni"] ---
A couple years ago we started the Community of Bioinformatics Software Developers (CDSB in Spanish) as because we were concerned with the very low representation of Latin Americans in the Bioconductor community, and the R community in general. For the full story check this this blog post.
Since we started CDSB, part of our goal been to help Bioconductor users transition into developers. To achieve this, we organized one week long courses in Mexico at low cost during the summers of 2018 and 2019 in partnership with the TIBs leadership (NNB-UNAM) and RMB. We plan to continue organizing these courses: except a 2020 announcement next week!
While these workshops allow us to reach up to 40 students in person for a week, we have been borrowing methods from others to try to interact more frequently and help throughout this process 1. But we now went a bit further.
In 2018, CDSB students worked on R/Bioconductor packages for two days during our workshop. One of them, Joselyn Chávez, picked up the regutools project and continued working on it with advice from Heladia Salgado. We eventually set up meetings where Alejandro Reyes and myself would advice Joselyn, Carmina Barberena-Jonas and Jesus Emiliano Sotelo-Fonseca on how to best proceed.
{{% tweet "1230694883750445056" %}}We’ve known for months that the deadline for BioC2020 talk/poster proposals was March 3rd. So we designed a plan that would allow them to submit regutools prior to that deadline, then submit a proposal to present it (as well as submit proposals to present their own research projects) in order to increase their likelihood of getting a BioC2020 travel scholarship.
And we were able to accomplish this plan! Well, at least the part under their and our control. That is, check out the regutools Bioconductor submission. Thus we are incredibly excited to announce that the CDSB website now has a “Bioconductor Developers Alumni” section!
We are also thrilled to announce that the RegulonDB team has given us the go ahead signal to write a manuscript about regutools. So you’ll soon see a pre-print about it.
Though I personally really hope that Joselyn, Carmina, Emiliano and many other CDSB alumni will be able to go to BioC2020 and other R conferences.
We couldn’t have gotten this far without all the support we’ve received over the years. So I would like to thank all our previous sponsors 2, colleagues who’ve encouraged us to keep going, and CDSB alumni like Joselyn, Carmina, and Emiliano who believed in our ideas and spent their own time making them a reality.
I leave you here with a short introduction to regutools.
The goal of regutools
is to provide an R interface for extracting and processing data from RegulonDB. This package was created as a collaboration by members of the Community of Bioinformatics Software Developers (CDSB in Spanish).
For more details, please check the documentation website or the Bioconductor package landing page here.
You can install the released version of regutools
from Bioconductor with:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("regutools")
## Check that you have a valid Bioconductor installation
BiocManager::valid()
And the development version from GitHub with:
## Since the package is currently going through the Bioconductor
## revision process, you need to use this code instead:
BiocManager::install("ComunidadBioinfo/regutools")
This is a basic example which shows you how to use regutools
. For more details, please check the vignette.
library('regutools')
## basic example code
## Connect to the RegulonDB database if necessary
if(!exists('regulondb_conn')) regulondb_conn <- connect_database()
## snapshotDate(): 2019-10-29
## Build a regulondb object
e_coli_regulondb <-
regulondb(
database_conn = regulondb_conn,
organism = "E.coli",
database_version = "1",
genome_version = "1"
)
## Get the araC regulators
araC_regulation <-
get_gene_regulators(
e_coli_regulondb,
genes = c("araC"),
format = "multirow",
output.type = "TF"
)
## Summarize the araC regulation
get_regulatory_summary(e_coli_regulondb, araC_regulation)
## regulondb_result with 3 rows and 7 columns
## TF Regulated_genes_per_TF Percent Activator Repressor Dual
## <factor> <factor> <factor> <factor> <factor> <factor>
## 1 AraC 1 33.3333333333333 0 0 1
## 2 CRP 1 33.3333333333333 1 0 0
## 3 XylR 1 33.3333333333333 0 1 0
## Regulated_genes
## <factor>
## 1 araC
## 2 araC
## 3 araC
Below is the citation output from using citation('regutools')
in R. Please
run this yourself to check for any updates on how to cite regutools.
citation('regutools')
##
## Chávez J, Barberena-Jonas C, Sotelo-Fonseca JE, Alquicira-Hernandez J,
## Salgado H, Collado-Torres L, Reyes A (2020). _regutools: an R package
## for data extraction from RegulonDB_. doi: 10.18129/B9.bioc.regutools
## (URL: https://doi.org/10.18129/B9.bioc.regutools),
## https://github.com/comunidadbioinfo/regutools - R package version
## 0.99.0, <URL: http://www.bioconductor.org/packages/regutools>.
##
## Chávez J, Barberena-Jonas C, Sotelo-Fonseca JE, Alquicira-Hernandez J,
## Salgado H, Collado-Torres L, Reyes A (2020). "Programmatic access to
## bacterial regulatory networks with regutools." _bioRxiv_. doi:
## 10.1101/xxxyyy (URL: https://doi.org/10.1101/xxxyyy), <URL:
## https://doi.org/10.1101/xxxyyy>.
 If you would like to sponsor our 2020 workshop, please get in touch with us. Thanks!!↩


Double click to add points.  Drag points. Boom. You've created a bezier curve. It looks lovely. Use the points data wherever you need an arbitrarily complex bezier.
 WTFork this on BitGuh: http://github.com/cdig/wtcurve.


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When source observable completes use combineLatest with collected observables.
Delay emitted values by given time.
Emit numbers in sequence based on provided timeframe.
Emit provided number of values before completing.
Map to inner observable, ignore other values until that observable completes.
When all observables complete, emit the last emitted value from each.
Observable of values for window of time.


11,940 abstracts - including meta data
or
9,418 abstracts - including meta data
or
Note that some data might be missing
| # | Label | Description |
|---|---|---|
| 1 | Abstract | Paper abstract. |
| 2 | Title | Paper title. |
| 3 | Language | Paper's original language. |
| 4 | Organization_info | Author affiliation |
| 5 | Publisher_info | Where the paper was published |
| 6 | Document_type | Document type |
| 7 | Keywords | Keywords affiliation to the paper |
| 8 | References | Number of references |
| 9 | Headers | Paper header(s) |
| 10 | Sub_headers | Paper sub-header(s) |
| 11 | Subjects | Subjects associated with the paper |
| 12 | Publication_year | Year published |
| 13 | Publication_month | Month published |
| 14 | Publication_length | Page count |
| 15 | Publication_issue | Publication issue |
| 16 | Publication_volume | Publication volume |
| 17 | Publication_type | Publication type |
| 18 | Authors | Author names |
| 19 | WOS | Web of Science unique identifier |
| 20 | _id | Paper ID (only in TCP data) |
| 21 | Endorsement | Paper endorsement (1-7) (only in TCP data) |
| 22 | Stance | Paper stance, converted from endorsement (only in TCP data) |
| 23 | Category | Paper category (only in TCP data) |


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Click here to return to .
{% endif %}


Please Enjoy David Harbour Being Totally Unable To Say The Word ‘Grandma’
by Joseph EarpToday is officially Stranger Things Day, which is apparently a holiday that began last year, but which I only found out about something like 20 minutes ago.
But that’s fine. There is no point quibbling over where this day came from, or whether we should allow a brand to turn their own content into a national day, because the gifts of Stranger Things Day are many — chief amongst them blooper footage of David Harbour being utterly unable to say the word “grandma”.
Yep, turns out that Harbour, who was launched into worldwide fame thanks to his performance as the extremely loveable Detective Jim Hopper in Stranger Things, just can’t speak that word without turning into a melted puddle of giggles.
Valiantly, the man tries some six or seven times, becoming more hysterical with each attempt. For their part, Millie Bobby Brown and Finn Wolfhard just sit there, kinda aghast.
Basically it’s a work of extraordinary comedic art, and deserves to be watched in full right now:
What further delights will Stranger Things Day bring us, I wonder? At the very least, the writers’ room for the show have already promised us some bloopers on the horizon. That sounds like reason enough to keep celebrating, I reckon.


Captricity JavaScript Widgets
JavaScript examples of:
Job creation
Instance Upload
Job submission
Data Extraction
Make sure you
use Firefox if you are viewing this page locally
Retrieve API Token
Access your account


Before Change
def test_stub_files(rule_runner: RuleRunner) -> None:
good_stub = dataclasses.replace(GOOD_SOURCE, path="good.pyi")
bad_stub = dataclasses.replace(BAD_SOURCE, path="bad.pyi")
fixed_bad_stub = dataclasses.replace(FIXED_BAD_SOURCE, path="bad.pyi")
good_files = [GOOD_SOURCE, good_stub]
target = make_target(rule_runner, good_files)
lint_results, fmt_result = run_black(rule_runner, [target])
assert len(lint_results) == 1 and lint_results[0].exit_code == 0
assert (
"2 files would be left unchanged" in lint_results[0].stderr
and "2 files left unchanged" in fmt_result.stderr
)
assert fmt_result.output == get_digest(rule_runner, good_files)
assert not fmt_result.did_change
target = make_target(rule_runner, [BAD_SOURCE, bad_stub], name="failing_target")
lint_results, fmt_result = run_black(rule_runner, [target])
assert len(lint_results) == 1 and lint_results[0].exit_code == 1
assert (
"2 files would be reformatted" in lint_results[0].stderr
After Change
def test_stub_files(rule_runner: RuleRunner) -> None:
rule_runner.write_files(
{
"good.pyi": GOOD_FILE,
"good.py": GOOD_FILE,
"bad.pyi": BAD_FILE,
"bad.py": BAD_FILE,
"BUILD": "python_library(name="t")",
}
)
good_tgts = [
rule_runner.get_target(Address("", target_name="t", relative_file_path="good.pyi")),
rule_runner.get_target(Address("", target_name="t", relative_file_path="good.py")),
]
lint_results, fmt_result = run_black(rule_runner, good_tgts)
assert len(lint_results) == 1 and lint_results[0].exit_code == 0
assert (
"2 files would be left unchanged" in lint_results[0].stderr
and "2 files left unchanged" in fmt_result.stderr
)
assert fmt_result.output == get_digest(
rule_runner, {"good.pyi": GOOD_FILE, "good.py": GOOD_FILE}
)
assert not fmt_result.did_change
bad_tgts = [
rule_runner.get_target(Address("", target_name="t", relative_file_path="bad.pyi")),
rule_runner.get_target(Address("", target_name="t", relative_file_path="bad.py")),
]
lint_results, fmt_result = run_black(rule_runner, bad_tgts)
assert len(lint_results) == 1 and lint_results[0].exit_code == 1
assert (
"2 files would be reformatted" in lint_results[0].stderr


In the spirit of our amazing, kindhearted father. The Jim G. Carpenter Foundation provides scholarships for students that have been affected by life altering or terminal illnesses.
Higher education is so important in our society. Yet rising costs make it harder for many to afford it. The Foundation awards scholarships to those who have faced a terminal or life-altering illness in their lives each May. We hope to ensure that higher education is within reach for those who have faced the cruel impact of serious impact.
We truly believe that you are not alone, and at the Foundation, we strive to help bring a sense of community that our father provided for us, and fulfill the emotional needs human beings need during these hard times for you.
Jim Carpenter endured many trials and tribulations in the 8+ years after he was diagnosed with lung cancer until he passed away in December of 2013. In those years, he had tumors removed from his brain, lung, and adrenal glands. Through it all he remained a positive and driving force of his family and did what he could in the community to give back. He sat on the board of The American Cancer Society’s Relay for Life committees in past years. And was an inspiration to many people - until and even after - his death.
It became evident, as he and his family started this journey that there was not as much support for families as is necessary. His youngest daughter began a scholarship in his name - The Jim Carpenter Scholarship Fund.
The scholarship is awarded annually to Portage High School seniors who have been affected by a life-altering or terminal illness (either themselves, family, or friends). It is the scholarship’s hope that this fund be used for many years, in Jim’s honor, to give back to the community that he lived in, and the community of cancer survivors that he was welcomed into with open arms.
Once the first scholarship was set to be given away in the spring 2013, his family decided that wasn't enough. Jim always fought everything head-on and with everything he had to give. And his family was there to fight the battle with him. Which means they learned about long hospital stays, home health-care, social workers, emergency trips to the hospital, chemo, radiation, blood transfusions, and more. They also noticed that there was a big need for a support system. The Jim G Carpenter Foundation was born. The hopes are that this will become a sense of comfort, support, and guidance as others go through the same journey of being a caregiver for someone with a life-altering or terminal illness.
We hope that you will take a moment to spread the word, donate to the cause, and always remember that you are not alone.
Social Media Feed!
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Emily Carpenter
President
Denise Carpenter
Vice President
Deb Carpenter
Treasurer
Alex Yong
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Tim Basadur
Board Member
Jason Pedroza
Board Member
Megan Koonce
Board Member
Paul Lucas
Board Member
Bob Hannon
Board Member
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Maxime DANIEL
PhD student
64210 Bidart, France
Biography
From February to July 2015, I did a research internship with Immersion (Bordeaux, France), a company specialized in Augmented and Virtual Reality technologies. During this internship, I was led to do scientific research with Potioc, an Inria research team (Bordeaux, France) in Human Computer Interaction (HCI). Thanks to Potioc and Immersion, I was able to explore some HCI fields such as Augmented Reality (AR), Virtual Reality (VR), Tangible User Interfaces (TUIs) and even Brain-Computer Interface (BCI).
Since October 2015, I am a PhD student in Computer Science at University of Bordeaux (LaBRI, Bordeaux, France) and ESTIA (Estia Research, Bidart, France). I study HCI and more precisely the applications of Tangible User Interfaces (TUIs) to Persuasive Technology (PT).
Research Projects
Publications
Jérémy Frey, Maxime Daniel, Julien Castet, Martin Hachet, and Fabien Lotte. 2016. Framework for Electroencephalography-based Evaluation of User Experience. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 2283-2294. DOI: http://dx.doi.org/10.1145/2858036.2858525.
Maxime Daniel, Guillaume Rivière, Nadine Couture, and Stéphane Kreckelbergh. 2016. An analysis of persuasive technologies for energy demand side management. In Actes de la 28ième conférence francophone sur l'Interaction Homme-Machine (IHM '16). ACM, New York, NY, USA, 197-210. DOI: http://dx.doi.org/10.1145/3004107.3004111.
Maxime Daniel, Guillaume Rivière, and Nadine Couture. 2016. Persuasive interactive systems in public and collective spaces: what role for tangible interfaces ?. In Actes de la 28ième conférence francophone sur l'Interaction Homme-Machine (IHM '16). ACM, New York, NY, USA, 221-229. DOI: http://dx.doi.org/10.1145/3004107.3004131.
Maxime Daniel, Guillaume Rivière, and Nadine Couture. 2016. Prelimary studies for the design of CAIRNS : an Ambient Tangible Interface for Shifting Energy Demand in the Workplace. In Actes de la 29ème conférence francophone sur l'Interaction Homme-Machine (IHM '17). ACM, New York, NY, USA, 221-229. DOI: http://dx.doi.org/10.1145/3132129.3132152.
Community
PhD School
| Date | Specialty | School |
|---|---|---|
| January 25-29, 2016 | Tangible interaction | |
| June 19-23, 2017 | Tangible interaction |
PhD formation
| Date | Formation | Duration |
|---|---|---|
| February 17 and March 22, 2016 | Well-being and Integrity | 14h |
| March 23-24, 2016 | Citizen Science | 14h |
| May 10-12, 2016 | Doctoral production Beyond Publications | 18h |
| April 5, 2017 | Modern times of Artificial Intelligence | 12h |
| May 29-June 6, 2017 | Entrepreneurship Seminar | 34h | Total | 92h |
Teaching
Expertise
Augmented Virtuality
| Years | Cycle | Status | Group size | Duration |
|---|---|---|---|---|
| 2017-2018 | 3nd year | Student | 30 | 2h | Total | 4 | 2h |
Programming
Mobile and Communicating Objects
| Years | Cycle | Status | Group size | Duration |
|---|---|---|---|---|
| 2017-2018 | 1nd year | Student | 50 | 8h |
| 2017-2018 | 1nd year | Student | 50 | 8h | Total | 100 | 16h |
Web Development
| Years | Cycle | Status | Group size | Duration |
|---|---|---|---|---|
| 2017-2018 | 1nd year | Student | 20 | 14h |
| 2017-2018 | 1nd year | Student | 20 | 14h | Total | 40 | 32h |
Event-Driven Programming
| Years | Cycle | Status | Group size | Duration |
|---|---|---|---|---|
| 2015-2016 | 2nd year | Apprentice | 55 | 8h |
| 2015-2016 | 2nd year | Student | 52 | 8h | Total | 107 | 16h |
Object-oriented Programming
| Years | Cycle | Status | Group size | Duration |
|---|---|---|---|---|
| 2016-2017 | 2nd year | Student | 50 | 14h |
| 2016-2017 | 2nd year | Student | 52 | 14h | Total | 102 | 28h |
Procedural Programming
| Years | Cycle | Status | Group size | Duration |
|---|---|---|---|---|
| 2015-2016 | 1nd year | Apprentice | 69 | 10h |
| 2015-2016 | 1nd year | Student | 62 | 10h |
| 2016-2017 | 1nd year | Apprentice | 52 | 12h |
| 2016-2017 | 1nd year | Student | 43 | 12h | Total | 226 | 44h |


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taxize XXXX
This striking, black and white theme features stock photographs by Gratisography along with a custom Google Map skin courtesy of Snazzy Maps.
With this template, just the slightest splash of color can make a huge impact on the overall presentation and design.
Grayscale is a premium quality, free Bootstrap 3 theme created by Start Bootstrap. It can be yours right now, all you need to do is download the template on the preview page. You can use this template for any purpose, personal or commercial.
This striking, black and white theme features stock photographs by Gratisography along with a custom Google Map skin courtesy of Snazzy Maps.
With this template, just the slightest splash of color can make a huge impact on the overall presentation and design.
The Python library is in alpha phase now. Check back later, or contribute!
With this template, just the slightest splash of color can make a huge impact on the overall presentation and design.
library(rMaps) L2 <- Leaflet$new() L2$setView(c(29.7632836, -95.3632715), 10) L2$tileLayer(provider = "MapQuestOpen.OSM") L2
You can download Grayscale for free on the download page at Start Bootstrap. You can also get the source code directly from GitHub if you prefer. Additionally, Grayscale is the first Start Bootstrap theme to come with a LESS file for easy color customization!
InstallFork -> Edit -> Send pull reqeust to rOpenSci/taxize for R or sckott/pytaxize for Python
scott@ropensci.org


face
Isaac Mensah
Backend Developer
A computer science student currently in my 3rd year of studies at University of Alberta.
Background
Highly experienced, solutions-oriented professional with 2 years of remarkable background in overseeing all aspects of the software development life cylce, from extensive analysis and design through execution and maintenance. Skilled at writing well-designed, testable and efficient code using current best practices in Web development. Fast learner, hard worker and team player who is proficient in an array of scripting languages and multimedia Web tools.


logging — Message logging functionality.¶
This module implements the ADMIT logging infrastructure.
-
class
admit.util.AdmitLogging.
AdmitLogging
[source]¶ This is effectively a static class for the logging in ADMIT. It relies on the Python logging module and has the same logging calls as that module but also offers header and subheader methods which allow for annotation in the log.
Parameters: None Attributes
None Methods
Formatter
([fmt, datefmt])Method to set the format of the logging messages StreamHandler
([stream])Method to get a streamhandler object addHandler
(handler)Method to add a handler to the logger addLevelName
(level, levelName)Method to add a new level to the logging schema basicConfig
(\*\*kwargs)Method to initialize the basic logging module critical
(message)Method to emit a critial level message to the log(s) debug
(message)Method to emit a debug level message to the log(s) error
(message)Method to emit an error level message to the log(s) findLogger
()Method to get the appropriate logger. getEffectiveLevel
()Method to get the current minimum logging level heading
(message)Method to emit a header message to the log(s). info
(message)Method to emit an info level message to the log(s) init
(name, logfile, level)Method to initialize a new named logger log
(level, message)Method to emit a log message to the log(s) at the given level regression
(message)Method to emit a regression message to the log(s) reportKeywords
(kw)Method to emit logging messages that report the current state of the AT keywords. setLevel
(level)Method to set the current minimum level that will be logged all messages below this level are ignored. shutdown
()Method to shuitdown the logging system subheading
(message)Method to emit a subheader message to the log(s). timing
(message)Method to emit a timing message to the log(s) warning
(message)Method to emit a warning level message to the log(s) -
CRITICAL
= 50¶
-
DEBUG
= 10¶
-
EFFECTIVELOGLEVEL
= 20¶
-
ERROR
= 40¶
-
static
Formatter
(fmt=None, datefmt=None)[source]¶ Method to set the format of the logging messages
Parameters: fmt : str
The format of the messages
datefmt : str
The format for any dates in the log
Returns: Handle to the format object
-
INFO
= 20¶
-
REGRESSION
= 21¶
-
static
StreamHandler
(stream=None)[source]¶ Method to get a streamhandler object
Parameters: stream : stream
The output stream to attache to the stream handler
Returns: Handler object
-
TIMING
= 15¶
-
WARNING
= 30¶
-
static
addHandler
(handler)[source]¶ Method to add a handler to the logger
Parameters: handler : handle to a handler
The handler to add
Returns: None
-
static
addLevelName
(level, levelName)[source]¶ Method to add a new level to the logging schema
Parameters: level : int
The level number to add
levelName : str
The name to use for the level
Returns: None
-
static
basicConfig
(**kwargs)[source]¶ Method to initialize the basic logging module
Parameters: various Returns: None
-
static
critical
(message)[source]¶ Method to emit a critial level message to the log(s)
Parameters: message : str
The message to sed to the log
Returns: None
-
static
debug
(message)[source]¶ Method to emit a debug level message to the log(s)
Parameters: message : str
The message to sed to the log
Returns: None
-
static
error
(message)[source]¶ Method to emit an error level message to the log(s)
Parameters: message : str
The message to sed to the log
Returns: None
-
static
findLogger
()[source]¶ Method to get the appropriate logger. This is done by inspecting the stack, looking for either Admit.py or AT.py, both of which have the name of their loggers.
Parameters: None Returns: Instance of the logger (or None)
-
static
getEffectiveLevel
()[source]¶ Method to get the current minimum logging level
Parameters: None Returns: int continaing the current minimum logging level
-
static
heading
(message)[source]¶ Method to emit a header message to the log(s). Header messages are encapsulated in empty lines for emphasis
Parameters: message : str
The message to sed to the log
Returns: None
-
static
info
(message)[source]¶ Method to emit an info level message to the log(s)
Parameters: message : str
The message to sed to the log
Returns: None
-
static
init
(name, logfile, level)[source]¶ Method to initialize a new named logger
Parameters: name : str
Unique name of the logger
logfile : str
Full path to the log file to generate
level : int
The initial logging level to set. All messages at or above this level will be emitted.
Returns: None
-
static
log
(level, message)[source]¶ Method to emit a log message to the log(s) at the given level
Parameters: level : int
The logging level to send the message at
message : str
The message to sed to the log
Returns: None
-
loggers
= set([])¶
-
static
regression
(message)[source]¶ Method to emit a regression message to the log(s)
It is suggested to start the message with a magic word followed by a colon, so top level scripts can reliably parse them. It is typically not needed to add verbosely what these numbers are, just the numbers are fine, the associated label defines them elsewhere. An example of use:
logging.regression(‘CUBEFLUX: %g %g’ % (flux1,flux2))
Parameters: message : str
The message to send to the log
Returns: None
-
static
reportKeywords
(kw)[source]¶ Method to emit logging messages that report the current state of the AT keywords.
Parameters: kw : dict
A dictionary containing the AT _keys dictionary
Returns: None
-
static
setLevel
(level)[source]¶ Method to set the current minimum level that will be logged all messages below this level are ignored.
Parameters: level : int
The numeric level number to set
Returns: None
-
static
subheading
(message)[source]¶ Method to emit a subheader message to the log(s). Subheader messages are encapsulated in an empty line for emphasis
Parameters: message : str
The message to sed to the log
Returns: None
-


Elixir
Concurrency
Concurrent programming
splitting your code in small chunks
running them in different processes
Dave Thomas
Moore’s law says the speed of computers would double every 2 years.
This was true until 2000.
But reducing the size of transistor becomes more complicated.
New strategy
To get more thoughput, more processors (cores).
Thoughput continue increase.
intel i9
18/36 cores/virtual cores
2.60 GHz
💣
Threads
OS processes
Mutexes
compiler params -pthread
...
🦄
This is not the case in Elixir
OTP (the Erlang VM) is the abstraction layer handling all the complexity for us
Processes are :
They use the Actor model
Actor model
Let's create our first process!
defmodule SpawnBasic do
def greet do
IO.puts("Hello!")
end
end
Nothing fancy!
Send messages between processes
current = self()
child = spawn(fn -> send(current, {self(), 1 + 2}) end)
receive do
{^child, 3} -> IO.puts "Received 3 back"
end
Let's push the limits!
Recap
Elixir processes are great to use
- easy to use
- light
- it's the future of computing
Process are good in Elixir
they are just the common brick of better objects


---
layout: post
title: ToxoDB new features
category: [ToxoDB]
---
We are pleased to
announce new features in ToxoDB 6.0
Community Annotation:
As many of you know, a community driven annotation effort
has been underway. The response has been great (350 genes
have been annotated by the community so far) and we are happy to now
include these annotations in ToxoDB. The ultimate goal is to
translate this effort into changes in product names and gene models.
As a first step, since this process is still ongoing,
community annotations can be viewed by searching using the
text search tool in ToxoDB and limiting your search to
the Community annotation. To view all genes that have a
community annotation associated with them simply enter the wild card
"*" in the text search field. The annotation itself is
prominently displayed on the gene pages right under the product name.
As noted, this is an ongoing process. We have several more
annotations to incorporate and many more promised.
New Features:


:-)
When someone gives a talk these days that includes both Rust and
WebAssembly, it's usually about compiling Rust into WebAssembly.
And for good reason! There's lots of cool stuff happening. But I'm
going to talk about a different topic which touches on both Rust
and WebAssembly :-).
That topic is Cranelift!
https://cranelift.readthedocs.io/en/latest/ir.html
A code generator is translator from an Intermediate Representation
(IR) data structure into machine code. Pictured here is an example
of pretty-printed Cranelift IR.
https://cranelift.readthedocs.io/en/latest/ir.html
All the instructions in this IR are documented. Here's a brief
screenshot of the documentation for iadd
and
iadd_imm
.
https://github.com/CraneStation/simplejit-demo
And for each instruction, there's a corresponding function in
Cranelift's builder APIs. Here's an example from the
simplejit-demo program showing how integer add is translated.
x = 2;
foo(x);
x = 3;
foo(x);
Cranelift IR uses Single Static Assignment (SSA) form. This
roughly means that when the source code has variables which are
reassigned, Cranelift will split the variables so that each value
has only a single place where it obtains a value.
if ... {
x = 2;
} else {
x = 3;
}
foo(x);
SSA form can be somewhat tricky to construct, such as in the
example here, where the value of x depends on the path taken
through the code.
let x; // declare_var
x = 2; // def_var
foo(x); // use_var
x = 3; // def_var
https://docs.rs/cranelift-frontend/
To help, the cranelift-frontend crate provides an API which
handles all the details of building SSA form automatically.
With three functions, `declare_var`, `use_var`, and `def_var`,
frontends can easily translate code containing mutable
variables. Note that "use" and "def" in this context are
compiler jargon for "read" and "write".
function %foo(i32) -> i32 {
ebb0(v0: i32):
v2 = iconst.i32 0
jump ebb1(v2)
ebb1(v6: i32):
v12 = iadd_imm.i32 v6, 1
v13 = icmp slt v12, v0
brnz v13, ebb1(v12)
return v12
}
Here's a closer look at some IR. Functions contain extended
basic blocks, which are sequences of instructions entered from
the top (though potentially exited from the middle or end).
Extended basic blocks can have block parameters, with jumps to
them passing arguments, which are analogous to PHIs in
traditional SSA form. Of course, this is all handled
automatically by the library.
Cranelift is organized as a collection of crates, to allow users
to use just the pieces they need.
These two crates provide basic data structures. cranelift-bforest
provides some specialized B+-trees, and cranelift-entity provides
a specialized entity data structure.
PrimaryMap
- an vector with its own index type.
EntityMap
- a companion vector
The entity data structure allows us to represent data in dense
form with indices rather than pointers, and relatively fewer
of them than typical pointer-based IRs.
Codegen is the core crate that defines the IR and the code for
translating it to machine code. Frontend contains the IR builder
for use by code wanting to produce Cranelift IR. Wasm contains
code for translating WebAssembly into Cranelift IR, and Native
contains code for autodetecting host CPU features.
https://docs.rs/cranelift-codegen/
The codegen crate is where compilation happens, which consists of
several steps.
This next family of crates are focused on people working on
Cranelift, and provide parsing, serialization, testing, and
the top-level clif-util utility.
https://github.com/CraneStation/simplejit-demo
https://github.com/CraneStation/simplejit-demo/tree/faerie
And finally, there's the module family of crates. This is an
optional family, which provides higher-level functionality,
making it easy to JIT code to memory and run it, or write out
a native object file (using the faerie library), though this
family is also somewhat opinionated, so users needing more
control are free to use the lower-level crates directly.
We have several notable users working on building interesting
things with Cranelift!
Can be bounds-checked.
i32.const 32
i32.load
get_local $0
get_local $0
i32.load
i32.const 1
i32.add
i32.store
if (i < n) {
memory[i] = 0;
}
get_local $0
i32.load
get_local $0
i32.load offset=4
get_local $0
i32.load offset=8
let mut sum = 0;
for x in &array {
sum += x;
}
(type $color (func (param f32) (result i32)))
(table 2 anyfunc)
(func $red (param f32) (result i32) i32.const 42)
(func $green (param f32) (result i32) i32.const 13)
(func $blue (param f64) (result i64) i64.const 88)
(elem (i32.const 0) $red $green $blue)
call_indirect (type $color)
mov rax, qword ptr [rdi + 16]
cmp dword ptr [rax], esi
jbe .L0
ud2 ; table out of bounds
.L0:
mov rcx, qword ptr [rax + 8]
mov eax, esi
shl rax, 4
cmp dword ptr [rcx + rax + 8], 7
je .L1
ud2 ; signature mismatch
.L1:
call qword ptr [rcx + rax]
mov rax, qword ptr [rdi + 16]
cmp dword ptr [rax], esi
jbe .L0
ud2 ; table out of bounds
.L0:
mov rax, qword ptr [rax + 8]
mov ecx, esi
mov esi, 7
call qword ptr [rax + 8*rcx]
callee_when_indirect:
cmp esi, 7
je .L1
ud2 ; signature mismatch
.L1:
callee:
Please ask questions! 😃


CREATE A NEW PROJECT
You can use the link provided in this card to create a new project.

Project Collaboration Tool
People can collaborate on the various projects that they are working keeping track of who is assigned what task and their respective deadlines.
Ideal number of people would be around 15-20, although it depends on how much work is being done by people accessing at the same time.
It is meant for practical purposes wherein people can easily be able to know the progress in the project.
Everything that happens within a project, can be seen by everyone else who has been added as a collaborator for that respective project.
Whatever new tasks or projects that are newly created will appear as thefirst card
An admin can see all the users of the app and also all their projects.


|
Colore
<IP_ADDRESS>
C# library for Razer's Chroma SDK
|
Interface for headset functionality. More...
Public Member Functions | |
| void | SetEffect (Effect effect) |
| Sets an effect on the headset that doesn't take any parameters, currently only valid for the Effect.SpectrumCycling effect. More... | |
| void | SetStatic (Static effect) |
| Sets a new static effect on the headset. More... | |
| void | SetStatic (Color color) |
| Sets a new Static effect on the headset using the specified Color. More... | |
| void | SetBreathing (Breathing effect) |
| Sets a new breathing effect on the headset. More... | |
| void | SetBreathing (Color color) |
| Sets a new Breathing effect on the headset using the specified Color. More... | |
| Public Member Functions inherited from Corale.Colore.Core.IDevice | |
| void | Clear () |
| Clears the current effect on the device. More... | |
| void | SetAll (Color color) |
| Sets the color of all components on this device. More... | |
| void | SetGuid (Guid guid) |
| Updates the device to use the effect pointed to by the specified GUID. More... | |
Additional Inherited Members | |
| Properties inherited from Corale.Colore.Core.IDevice | |
| Guid | CurrentEffectId [get] |
| Gets the ID of the currently active effect. More... | |
Interface for headset functionality.
Definition at line 34 of file IHeadset.cs.
| void Corale.Colore.Core.IHeadset.SetBreathing | ( | Breathing | effect | ) |
Sets a new breathing effect on the headset.
| effect | An instance of the Breathing struct describing the effect. |
Implemented in Corale.Colore.Core.Headset.
| void Corale.Colore.Core.IHeadset.SetBreathing | ( | Color | color | ) |
Sets a new Breathing effect on the headset using the specified Color.
| color | Color of the effect. |
Implemented in Corale.Colore.Core.Headset.
| void Corale.Colore.Core.IHeadset.SetEffect | ( | Effect | effect | ) |
Sets an effect on the headset that doesn't take any parameters, currently only valid for the Effect.SpectrumCycling effect.
| effect | The type of effect to set. |
Implemented in Corale.Colore.Core.Headset.
| void Corale.Colore.Core.IHeadset.SetStatic | ( | Static | effect | ) |
Sets a new static effect on the headset.
| effect | An instance of the Static struct describing the effect. |
Implemented in Corale.Colore.Core.Headset.
| void Corale.Colore.Core.IHeadset.SetStatic | ( | Color | color | ) |
Sets a new Static effect on the headset using the specified Color.
| color | Color of the effect. |
Implemented in Corale.Colore.Core.Headset.


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us you are part of a team of committed collaborators.All aspects of our software development process are intergrated,interactive
and agile.
Our approach unifies design,development and product management to create exceptional products.
We start each project by understanding yourr business goaals,the users' needs and the product requirements.
Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your product vision.
The outcome of this scoping session is a proposal or high level statement of work.
based on your requirements, we can provide a complete offering or just the pieces you need.
DESIGN
Our design practice offers a full range of services including brand strategy,interaction and visual design and user experience testing.
Throughout your project,our designers create and implement visual design and workflows,solicit user feedback and work with you to make sure hwat gets built is what is needed.
DEVELOPMENT
All engineers are fluent in the latest enterprise,mobile and web development technologies.
They collaborate with your team to write,and improve code on a daily basis,using proven practices such as test-driven development and pair programming.
PRODUCT MANAGEMENT
Planning and development is interactive.Because we are constantly coding and testing,the products we build are always ready to go live.
This iterative process allows for changes as business requirements evolve.
DEVELOPMENT trial
Security
DESIGN
Stock Exchange
Blog
Calculator
Beer seller
BAILEY WONGER
Delani Studio
2019


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{% include 'navbar.html' %}
PokerStats
The (hopefully soon to be?) official website of the Stevens Poker Club
{% include 'footer.html' %}


--- layout: default --- {% include header.html %} Cofounder and COO at Outline; building, learning, thinking. Formerly, HVF Labs and product at Noodle. New York, NY. (more) Building Tweeting Writing Get in touch
Cofounder and COO at Outline; building, learning, thinking. Formerly, HVF Labs and product at Noodle. New York, NY. (more)


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Provide below the email address with which you had registered and we will send you a new password via email that you can use to login again.


CrypTool can use elliptic curves for digital signatures (Menu Digital Signatures/PKI). Further information can be found in the CT Book.
How to sign documents based on elliptic curve keys
The menu item Key Management \ Key Generation opens the following dialog:
Please fill in the mandatory fields "Last Name", "First Name", "PIN " and "PIN verification". Donét forget to check "Algorithm: Elliptic curves" and press "Generate new key pair"
Now you can use the menu items Digital Signatures \ Sign Message and Digital Signatures \ Verify Signature to digitally sign documents reps. verify their authenticity. Remark: You can use the scenario RSA crypto system (signatur) with elliptic curve keys, too.


#assign n0_docs="true"> <#assign n1_query="true"> <#assign aggregation= "true">
SQL has the aggregation functions of SUM
, MIN
, MAX
, COUNT
and AVG
.
We can use these functions in Ebean as dynamic formula or as properties via @Aggregation and @Sum.
```java LocalDate maxDate = new QOrder() .select("max(orderDate)") .customer.name.equalTo("Rob") .findSingleAttribute(); ``` ```sql select max(t0.order_date) from orders t0 join customer t1 on t1.id = t0.customer_id where t1.name = ? ; --bind(Rob) ```
With aggregation queries that select only a single attribute the returned type
matches the property type. In the above case the orderDate is a LocalDate
and so that is the type returned.
When we specify non-aggregate properties (status in the example below) then
a GROUP BY
clause is generated that includes all the non-aggregate properties.
The beans returned by aggregation queries are partially populated. They don't contain the @Id property and thus do not support lazy loading or persisting.
The order beans in the example above will only have their status and orderDate properties loaded.
Aggregation queries can include fetch
or fetchQuery
to load related beans.
When we use fetchQuery
the ORM query is executed as 2 sql queries.
Using fetchQuery() can be good when there are many properties on customer that we want to load (as these all go into the secondary sql query rather than the primary query and therefore are not part of the GROUP BY.
We can model aggregations with properties annotated with @Aggregation
.
This is an alternative to using dynamic formula.
Properties with @Aggregation must be explicitly included in a query (they are considered Transient).
Having added the maxOrderDate and totalCount properties we can use
them in select
and having
clauses in our queries.
Predicates on aggregation properties should be added to the Having
clause.
If we only want 1 or 2 aggregation properties we feel ok adding these to the existing entity beans. However, if instead we have many properties we want to aggregate this approach is messing with our model and it starts to look ugly.
We can create aggregation beans to model the properties - model the sum/group by/aggregation view.
Say we have an entity bean called MachineUse with:
```java @Entity @Table(name = "machine_use") public class MachineUse extends Model { @Id private long id; @ManyToOne(optional = false) private DMachine machine; private LocalDate date; private long distanceKms; // we want to sum() this ... private long timeSecs; // we want to sum() this ... private BigDecimal fuel; // we want to sum() this ... @Version private long version; ... ```We can create the aggregate bean for this as:
```java @Entity @View(name = "machine_use") public class MachineUseAggregate { @ManyToOne(optional = false) private DMachine machine; // group by, fetch, fetchQuery on ... private LocalDate date; // group by on ... @Aggregation("sum(distanceKms)") private Long distanceKms; @Aggregation("sum(timeSecs)") private Long timeSecs; @Aggregation("sum(fuel)") private BigDecimal fuel; @Aggregation("count(*)") private Long count; ... ```
When we create aggregation beans we very often see the pattern where we sum a property like:
```java @Aggregation("sum(<|property name>)") Type <|property name>; ```
For example, we see beans like:
```java @Aggregation("sum(distanceKms)") BigDecimal distanceKms; @Aggregation("sum(useSeconds)") Long useSeconds; @Aggregation("sum(cost)") BigDecimal cost; ```
@Sum
is syntatic sugar for this pattern and the above becomes:


Click Me
Click Me 2
Collapsible
Click to toggle
i am gona collapse this , this is bootstrap
Bootstrap
Hi i am doing bootstrap Hi i am doing bootstrap Hi i am doing bootstrap Hi i am doing bootstrap Hi i am doing bootstrap
i am in success
i am in info
i am in warning
i am in danger
Bootstrap


Court Magician:
You look over the body quickly, and finally notice a message written in blood on the floor.
Read the message.


import * as sews from 'sews'
import * as corejs from 'core-js';
import * as remedata from './remedata';
Copyright (c) 2012-2015 Iwan van der Kleijn All rights reserved.
This source code is licensed under the BSD-style license found in the LICENSE file in the root directory of this source tree
This file is part of Remedata
import * as sews from 'sews'
import * as corejs from 'core-js';
import * as remedata from './remedata';
create json db from file with property ‘id’ as key
let db = remedata.jsondb("data/_data.json", {key: "id"});
Start up server-node (the “Bus”)
let bus = sews.startbus({port:9000});
define default “read” handler; retrieves data from given db. i.e. equivalent to the HTTP GET Handler
bus.on('men.read', remedata.handleWsRead(db, 'men.retrieved'));
define default “write” handler; write single item to given db. i.e. equivalent to the HTTP PUT Handler
bus.on('men.write', remedata.handleWsWrite(db,'men.written'));
define default “process” handler; write data to given db. either in batch mode or a single item. i.e. equivalent to the HTTP POST Handler
bus.on('men.process', remedata.handleWsProcess(db,'men.processed'));
define default “delete” handler; deletes item from given db.i.e. equivalent to the HTTP DELETE Handler
bus.on('men.delete', remedata.handleWsDelete(db, 'men.deleted'));


- Once logged in Users can update their information and change their password on the Users page.
- Farms
- Once created, farms can be shared with other users on the Permissions page. Beware that any user with
access to a farm can grant/revoke others' access to the farm.
- Hives and Poultry records can be created from the Farms page.
- Hives/Poultry
- Hives/Poultry records can be created from the Farms page.
- Individual hive/poultry characteristics can be set for each record.
- The Inspections grouping displays the recent inspections of each Hive/Poultry record.
- Inspections
- Inspections can be made for one or more target (Hive/Poultry record). This allows tracking of certain
attributes between inspections.
- The Charts page is available for inspections to visually see how numerical inputs change between
inspections.
Still stuck? Have a feature request? Bug report? Post a question on the Issues Page.
See project information at the About Page.


Toggle navigation
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"Roleplay Done Right"
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Myanmar 3 Version 1.358
Myanmar Natural Language Processing (NLP) Research Center is a non-profit organization (NPO) as well as a non-government organization (NGO), mostly supported by Myanmar Computer Federation. It was formed with the aim... more info. (myanmarnlp.net.mm)
Zawgyi-One Version 3.1
Zawgyi-One's Myanmar glyphs are designed by Zaw Win Myat of Art House. The font is produced and published by Zawgyi.net and Alpha Mandalay. It contains glyphs for English and other characters, which are from temporarily from Tahoma. more info. (alpha.com.mm) zawgyi.net
Paduak Version 3.003
Padauk is a pan Burma font designed to support all Myanmar script based languages. It covers all of the Unicode Myanmar script blocks and works on all OpenType and Graphite based systems... more info. (scripts.sil.org)
-
{fonts.secondary.list}
-
{fonts.external.list}


@import views.html.helpers.scalaBlock @import org.joda.time.DateTime @(title: String, publishDate: DateTime, tags: List[String])
The DRY (Don't Repeat Yourself) Principle is more about refactoring code to create single representations of a concept within the codebase than simply removing duplication. Finding duplication often helps define concepts that can be extracted and composed to build a fully orthogonal codebase (no duplication, or overlap in knowledge).
This article walks though a non-trivial refactoring of some HTML code following the DRY principles.
The following articles provide more information about DRY:
| Name | Description |
|---|---|
| E-mail address of new user. |
curl -X POST https://localhost:9000/users -d<EMAIL_ADDRESS>curl -X GET https://localhost:9000/users/1
The first thing we need to do is identify which parts of the code are repeated because they represent the same kind of thing. Forget about the code for a second and think about what the code is actually trying to represent. In this example, we are representing a list of endpoints. For each endpoint we are showing two columns, the left contains a definition of the endpoint, the right contains a test form. Additionally, we see that the endpoint definition contains a signature, list of parameters, and a code example.
Visually, this knowledge representation looks something like this:
Now that we have and idea of how knowledge should be represented orthogonally, we can start refactoring the code to remove duplication.
Start from the bottom-up, extracting duplicate code into functions.
The following button
code appears twice:
We know it represents a single concept "submit button". We should then DRY up the code by extracting that knowledge into a single place:
@scalaBlock( """ def submitButton() = """ )Now, the submitButton
appears in form, which is also duplicated in the page.
We can similarly extract the form. The form structure is common between the two
uses, but the data it contains is not duplicated (each form has different field inputs).
@scalaBlock( """ def tryItFormParam(param: Parameter) =
Similarly, we can look at the "endpoint" sections that are duplicated and extract
concepts. At the bottom, we have an "example", which has duplicated structure, but not
duplicate data, just like the tryItForm
parameters. We will DRY it up in the same
way:
@code
The "signature" can be extracted similarly, as well as the parameter table:
@scalaBlock( """ def signature(method: String, url: String) =| Name | Description |
|---|---|
| @param.id | @param.description |
Now, we can already see the benefits of DRY-ing bottom-up when we go to DRY the endpoint "definition" concept, since we can compose the method extraction using the other extractions:
@scalaBlock( """ def definition(method: String, url: String, params: List[Param], code: String) =After this round of applying DRY to normalize concepts across the code, it looks like this:
@scalaBlock( """After this stage of DRY-ing up the code, it is much more readable. The concepts have been clearly extracted so that they are not repeated. As a result, any time we need to make changes to the "concept", there is single place to change (the functions we extracted).
Despite extracting the main components, there is still some presentational "concepts" that are duplicated in the code, the panels and the layout columns. Following the bottom-up approach, we first extract the panels.
Since there are two types of panels (the "Endpoint" panel and the "Try It" panel), representing different concepts, we can extract them separately.
@scalaBlock( """ def definitionPanel(method: String, url: String, params: List[Param], code: String) =There's still some duplication here since there is an orthogonal concept "panel" that we still haven't extracted. Doing so gives the following:
@scalaBlock( """ def panel(title: String, content: Html) =Finally, extract the "endpoint" concept, which contains the 2-column layout:
@scalaBlock( """ def endpoint(method: String, url: String, params: List[Param], code: String, inputs: List[Input]) =As of introducing the "endpoint" concept, there is no more duplication. We didn't need to extract a method for the 2-column layout since no other concepts require it other than "endpoint" (the concepts are orthagonal). We could extract the "col-md-6" columns to remove duplication, but conceptually these things are different. The first is for the left column, and the second is for the right column. That they have the same structure is more of a coincidence than an actual redundancy in concepts. Keeping them allows them to vary independently, for example, changing the endpoint to show smaller try-it column:
@scalaBlock( """ def endpoint(method: String, url: String, params: List[Param], code: String, inputs: List[Input]) =The final DRY code looks like this:
@scalaBlock( """ def signature(method: String, url: String) =| Name | Description |
|---|---|
| @param.id | @param.description |
@code
Adding a new endpoint is trivial:
@scalaBlock( """Developing DRY code is not always such a straightforward thing. In many cases, the knowlege being represented in the code does not appear as a clear duplication of concepts until it starts to appear frequently. Sometimes it is necessary to modify the way code looks to recognize the duplication.
It is very easy to see "duplication" in code and think it represents a single concept, but sometimes those concepts have the same form, but are fundamentally different. Removing duplication in that case introduces a bad coupling that can make code even more brittle and difficult to maintain.
Other times, you have DRY code and you need to add some behavior to some sub-set of cases. That may be a warning that you have combined two different concepts into one. Rather than adding conditionals to your code, the "knowlege" may need to be split into two separate concepts that can change independently, in effect undoing an existing DRY refactoring.
DRY is a powerful principle for refactoring code and goes a long way in improving the readability and maintainability of a code project. This walk-through demonstrated how to apply DRY from the bottom-up to incrementally extract duplicated "concepts" into methods.


TIL: MSWindows Programming : Propogating child process exit values out of .bat scripts
"God dammit.
So goes the refrain. I think you know where I'm coming from. Yet again, I have ended up learning far more about crappy DOS scripting than I ever wanted to know.
So I'm writing a program to automate some small task on Windows. One of the jobs of this tool is to modify the current environment. But I don't know how a child process in Windows can modify the environment of it's parent (namely the command-line shell that invoked it.) Can it be done?
So I hack a ghastly workaround: Wrap the script in a .bat file. A .bat file is invoked from the command-line in the same process as the shell, so any change it makes to the environment are made to the environment of the invoking shell itself. This also has the advantage that the tool can now be invoked by typing 'toolname', just like on other platforms, as opposed to 'toolname.py' or even 'python toolname.py'. So I wrap my Python script 'toolname.py' with a new file, 'toolname.bat', living in the same directory:
:: first run our tool python "%~dp0%~n0.py" %* :: then make any changes to the environment set THIS=THAT
The %\~dp0 and %\~n0 gobbledygook is a batch file way of referencing the same drive, path and filename (minus extension) as the current script, to which I add '.py' to run toolname.py. Easy enough.
There's a minor problem: The environment changes that need to be made depend on what goes on inside toolname.py. So I have that Python write a new batch file to the temp directory, containing all the 'set' commands which will replace the hardcoded 'set THIS=THAT' in the above script. Then we call that new temporary bat file from here:
:: first run our tool python "%~dp0%~n0.py" %* :: then make any changes to the environment call %Temp%\%~n0-setvar.bat
Which is good enough. Presumably it will barf all over the place if run concurrently. But there's a more pressing problem. I need the exit value of this tool to be equal to the exit value from toolname.py. Currently, the exit value of this .bat script is always zero, because the 'call' command at the end is always successful.
One solution I've seen used is to remember the exit value from toolname.py, and then use the DOS exit command to propagate this value out to our caller:
:: first run our tool python "%~dp0%~n0.py" %* set EXITVAL=%ERRORLEVEL% :: then make any changes to the environment call %Temp%\%~n0-setvar.bat exit %EXITVAL%
The problem with this is that 'exit' doesn't do what you think it does. It doesn't just stop interpreting the current script, rather it terminates the current interpreter, ie. the shell that is running the script.  Sigh.
The exit command has a fix for this: It takes a switch '/B', that causes it to just end the current script, rather than killing the shell. But now, it ignores any %EXITVAL% parameter you try to feed it, so the exit value of your batch file is always zero.
This is what I get for developing software on Windows. Nothing ever works the way it ought to. It's as though everything were designed to oppose simple engineering idioms, like composing systems out of small, interchangeable parts.
So here's what I finally did. The exit value of running a batch script can be set without using the hopelessly brain-dead 'exit' command. It is equal to the exit value of the last process the script invokes. So instead of exit, simply find a process that will exit with the value you need, and invoke it as the final command in your batch script:
:: first run our tool python "%~dp0%~n0.py"; %* set EXITVAL=%ERRORLEVEL% :: then make any changes to the environment call %Temp%\%~n0-setvar.bat :: and propagate the exit value to our invoker python -c "import sys; sys.exit(%EXITVAL%)"
Bingo. I now have a Python process that can modify the environment of its invoking shell, and propagates the correct exit value out of the wrapping DOS script. [Short bow. Applause. Roses. etc.]


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 4
Shredded slow-cooked lamb flavours this rich tomato sauce for homemade gnocchi.
Preheat the oven to 180C/160C Fan/Gas 4.
For the lamb, rub the oil into the lamb shoulder and season with salt and pepper. Place the lamb into a deep baking tray, surround it with the garlic, herbs, red wine and beef stock and roast in the oven for 30-40 minutes.
Reduce the heat to 120C/100C Fan/Gas ½, cover the lamb with aluminium foil, and continue to cook for 4½ hours. Remove and leave to cool. Once cool enough to handle, shred the meat.
Heat a large casserole pan until hot, add the pancetta and fry for 3-4 minutes, or until the pancetta softens and the fat starts to melt.
Add the olive oil and then add the onion and garlic and fry gently for 1-2 minutes, or until softened. Add the carrots and celery to the pan and cook for another minute.
Stir in the shredded meat, then add the tomatoes and bring to the boil. Reduce the heat and simmer for 5 minutes.
Stir in the tomato purée and cook for a further minute. Add the red wine and simmer until the volume of the liquid has reduced by one quarter.
Add the lamb stock and return the ragù to the boil. Season with salt and pepper. Reduce the heat and simmer for 30- 40 minutes, or until the ragù has thickened. Finish with the fresh basil.
For the gnocchi, preheat the oven to 180C/160C Fan/Gas 4.
Lightly score or prick the potatoes. Spread out the salt on a baking tray to make a bed of salt and sit the potatoes on top. Bake in the oven for 45 minutes to one hour, or until tender. (You can do this at the same time as the lamb is roasting.)
Allow the potatoes to cool until comfortable enough to handle. Cut in half and spoon the cooked potato out of the skins.
Finely mash the potato or put through a potato ricer. Add the flour, Parmesan and egg yolk. Season with salt and pepper and mix well. Keep mixing until the potato forms a dough.
Working on a lightly floured surface, divide the dough into four. Roll each quarter into a sausage shape about 20cm/8in long and cut into 2cm/1in pieces. Shake off any excess flour.
Heat a large saucepan of boiling salted water and add the gnocchi cook for 1-3 minutes or until they start floating on the top of the water and drain. Drizzle with a little olive oil.
To serve, stir some of the ragù through the gnocchi. Put the gnocchi in a serving bowl with freshly grated Parmesan of top.


1962 – Planning Missiles in Cuba
May 21, 1962
In terse document, Khrushchev issues a few orders regarding putting missiles in Cuba:
“Station nuclear missiles [there].
Carry this out secretly. Then declare it.
Missiles under our command.
This will be an offensive policy.”
The statement that this will be an “offensive policy” contradicts Sergei Khrushchev, the son of Nikita Khrushchev, who said that placing missiles in Cuba was just carrying out a normal policy of defense. Placing missiles in Cuba continues the policy of protecting all allies whether they are important or unimportant. Sergei Khrushchev compared the Soviet Union’s relationship with Cuba to the United States’ relationship with West Berlin. The only difference is that the Soviet Union is used to always having enemies close by – whether it is the Germans in World War II, Napoleon, or Austria-Hungary. The United States on the other hand gets really freaked out at the slightest threat near their territory.
Sergei Khrushchev:


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/global.20.60mk_fresh_name.60.3F.html ---
How do you do a mk_fresh_name
at the file global scope in order to create a new variable name that hasn't been used?
Also, I need to be able to print that name or somehow return it from Lean back to VSCode TypeScript extension (which I'm modifying), which will then forward it to BananaCats. If this can't be done yet. That is okay :) I can keep track of Bancats-created variable names on the Bancats Pyqt5 app's end.
I then have regex code to generate the next greek or indexed greek / latin variable (in LaTeX) which can then be translated to Lean code.
there is another function with a similar name that gives you globally unique names
oh wait no, mk_fresh_name
does that
Would it be listed here? https://leanprover.github.io/tutorial/A1_Quick_Reference.html
How do you do that then?
I was thinking of get_unused_name
*create a global variable named mk_fresh_name ?
?
You call mk_fresh_name
as a tactic
it's not a global variable, it's a globally unique variable name
get_unused_name
is only fresh relative to the current context and is used for making human readable local variable names
I'm not seeing the helloworld example to either of those calls anywhere
E.g.
example (a : Prop) : a → a := by do n ← mk_fresh_name, intro n, hyp ← get_local n, exact hyp
Doesn't work on my machine
https://leanprover.github.io/programming_in_lean/programming_in_lean.pdf (page 32)
that's correct except you need open tactic
at the start
most non-interactive tactics are in the tactic
namespace
Would it be listed here? https://leanprover.github.io/tutorial/A1_Quick_Reference.html
Just to note that this page describes Lean 2 not Lean 3.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


bienapi.org is a RESTful Application Programming Interface (API) to the BIEN database. Source code for this API: https://github.com/ropensci/bienapi
find the docs at https://ropensci.github.io/bienapidocs/


bubble data
The
WebGL Globe
is an open platform for visualizing geographic data.
•
Get the code
•
Thanks to the Google Data Arts Team


public class PNGDecodeParam extends java.lang.Object implements ImageDecodeParam
ImageDecodeParam
for decoding images in
the PNG format.
PNGDecodeParam
allows several aspects of the decoding
process for PNG images to be controlled. By default, decoding produces
output images with the following properties:
Images with a bit depth of 8 or less use a
DataBufferByte
to hold the pixel data. 16-bit images
use a DataBufferUShort
.
Palette color images and non-transparent grayscale images with
bit depths of 1, 2, or 4 will have a
MultiPixelPackedSampleModel
and an
IndexColorModel
. For palette color images, the
ColorModel
palette contains the red, green, blue, and
optionally alpha palette information. For grayscale images, the
palette is used to expand the pixel data to cover the range 0-255.
The pixels are stored packed 8, 4, or 2 to the byte.
All other images are stored using a
PixelInterleavedSampleModel
with each sample of a pixel
occupying its own byte
or short
within
the DataBuffer
. A ComponentColorModel
is
used which simply extracts the red, green, blue, gray, and/or alpha
information from separate DataBuffer
entries.
Five aspects of this process may be altered by means of methods in this class.
setSuppressAlpha()
prevents an alpha channel
from appearing in the output.
setExpandPalette()
turns palette-color images into
3-or 4-channel full-color images.
setOutput8BitGray()
causes 1, 2, or 4 bit
grayscale images to be output in 8-bit form, using a
ComponentSampleModel
and
ComponentColorModel
.
setDecodingExponent()
causes the output image to be
gamma-corrected using a supplied output gamma value.
setExpandGrayAlpha()
causes 2-channel gray/alpha
(GA) images to be output as full-color (GGGA) images, which may
simplify further processing and display.
This class is not a committed part of the JAI API. It may be removed or changed in future releases of JAI.
| Constructor and Description |
|---|
PNGDecodeParam()
Constructs a default instance of
PNGDecodeParam . |
| Modifier and Type | Method and Description |
|---|---|
float |
getDisplayExponent()
Returns the current value of the display exponent parameter.
|
PNGEncodeParam |
getEncodeParam()
If
getGenerateEncodeParam() is true ,
this method may be called after decoding has completed, and
will return an instance of PNGEncodeParam containing
information about the contents of the PNG file just decoded. |
boolean |
getExpandGrayAlpha()
Returns the current setting of the gray/alpha expansion.
|
boolean |
getExpandPalette()
Returns true if palette-color images will be expanded to
produce full-color output.
|
boolean |
getGenerateEncodeParam()
Returns
true if an instance of
PNGEncodeParam will be available after an image
has been decoded via the getEncodeParam method. |
boolean |
getOutput8BitGray()
Returns the current value of the 8-bit gray output parameter.
|
boolean |
getPerformGammaCorrection()
Returns
true if gamma correction is to be performed
on the image data. |
boolean |
getSuppressAlpha()
Returns
true if alpha (transparency) will
be prevented from appearing in the output. |
float |
getUserExponent()
Returns the current value of the user exponent parameter.
|
void |
setDisplayExponent(float displayExponent)
Sets the display exponent to a given value.
|
void |
setEncodeParam(PNGEncodeParam encodeParam)
Sets the current encoder param instance.
|
void |
setExpandGrayAlpha(boolean expandGrayAlpha)
If set, images containing one channel of gray and one channel of
alpha (GA) will be output in a 4-channel format (GGGA).
|
void |
setExpandPalette(boolean expandPalette)
If set, palette color images (PNG color type 3) will
be decoded into full-color (RGB) output images.
|
void |
setGenerateEncodeParam(boolean generateEncodeParam)
If set, an instance of
PNGEncodeParam will be
available after an image has been decoded via the
getEncodeParam method that encapsulates information
about the contents of the PNG file. |
void |
setOutput8BitGray(boolean output8BitGray)
If set, grayscale images with a bit depth less than 8
(1, 2, or 4) will be output in 8 bit form.
|
void |
setPerformGammaCorrection(boolean performGammaCorrection)
Turns gamma corection of the image data on or off.
|
void |
setSuppressAlpha(boolean suppressAlpha)
If set, no alpha (transparency) channel will appear in the
output image.
|
void |
setUserExponent(float userExponent)
Sets the user exponent to a given value.
|
public PNGDecodeParam()
PNGDecodeParam
.public boolean getSuppressAlpha()
true
if alpha (transparency) will
be prevented from appearing in the output.public void setSuppressAlpha(boolean suppressAlpha)
The default is to allow transparency to appear in the output image.
public boolean getExpandPalette()
public void setExpandPalette(boolean expandPalette)
The default is to output palette images using a single
channel. The palette information is used to construct the
output image's ColorModel
.
public boolean getOutput8BitGray()
public void setOutput8BitGray(boolean output8BitGray)
The decoding of non-grayscale images and grayscale images with a bit depth of 8 or 16 are unaffected by this setting.
The default is not to perform expansion. Grayscale images
with a depth of 1, 2, or 4 bits will be represented using
a MultiPixelPackedSampleModel
and an
IndexColorModel
.
public boolean getPerformGammaCorrection()
true
if gamma correction is to be performed
on the image data. The default is true
.
If gamma correction is to be performed, the
getUserExponent()
and
getDisplayExponent()
methods are used in addition to
the gamma value stored within the file (or the default value of
1/2.2 used if no value is found) to produce a single exponent
using the formula:
decoding_exponent = user_exponent/(gamma_from_file * display_exponent)
public void setPerformGammaCorrection(boolean performGammaCorrection)
public float getUserExponent()
public void setUserExponent(float userExponent)
IllegalArgumentException
will be thrown.
The output image pixels will be placed through a transformation of the form:
sample = integer_sample / (2^bitdepth - 1.0) decoding_exponent = user_exponent/(gamma_from_file * display_exponent) output = sample ^ decoding_exponentwhere
gamma_from_file
is the gamma of the file
data, as determined by the gAMA
, sRGB
,
and/or iCCP
chunks, and display_exponent
is the exponent of the intrinsic transfer curve of the display,
generally 2.2.
Input files which do not specify any gamma are assumed to
have a gamma of 1/2.2
; such images may be displayed
on a CRT with an exponent of 2.2 using the default user
exponent of 1.0.
The user exponent may be used in order to change the effective gamma of a file. If a file has a stored gamma of X, but the decoder believes that the true file gamma is Y, setting a user exponent of Y/X will produce the same result as changing the file gamma.
This parameter affects the decoding of all image types.
java.lang.IllegalArgumentException
- if userExponent
is
negative.public float getDisplayExponent()
public void setDisplayExponent(float displayExponent)
IllegalArgumentException
will be thrown.
The output image pixels will be placed through a transformation of the form:
sample = integer_sample / (2^bitdepth - 1.0) decoding_exponent = user_exponent/(gamma_from_file * display_exponent) output = sample ^ decoding_exponentwhere
gamma_from_file
is the gamma of the file
data, as determined by the gAMA
, sRGB
,
and/or iCCP
chunks, and user_exponent
is an additional user-supplied parameter.
Input files which do not specify any gamma are assumed to
have a gamma of 1/2.2
; such images should be
decoding using the default display exponent of 2.2.
If an image is to be processed further before being displayed, it may be preferable to set the display exponent to 1.0 in order to produce a linear output image.
This parameter affects the decoding of all image types.
java.lang.IllegalArgumentException
- if userExponent
is
negative.public boolean getExpandGrayAlpha()
public void setExpandGrayAlpha(boolean expandGrayAlpha)
This setting affects both images of color type 4 (explicit alpha) and images of color type 0 (grayscale) that contain transparency information.
By default, no expansion is performed.
public boolean getGenerateEncodeParam()
true
if an instance of
PNGEncodeParam
will be available after an image
has been decoded via the getEncodeParam
method.public void setGenerateEncodeParam(boolean generateEncodeParam)
PNGEncodeParam
will be
available after an image has been decoded via the
getEncodeParam
method that encapsulates information
about the contents of the PNG file. If not set, this information
will not be recorded and getEncodeParam()
will
return null
.public PNGEncodeParam getEncodeParam()
getGenerateEncodeParam()
is true
,
this method may be called after decoding has completed, and
will return an instance of PNGEncodeParam
containing
information about the contents of the PNG file just decoded.public void setEncodeParam(PNGEncodeParam encodeParam)
getEncodeParam
.Copyright © 2022 Apache Software Foundation. All Rights Reserved.


Full stack web developer leveraging professional experience gained as a practicing attorney. Currently working on a team of attorneys, communicating, teaching, and achieving clients' goals. Passionate about learning and growing, as demonstrated by enrollment in the University of Minnesota Full Stack Coding Boot Camp, fall 2020 cohort. Maintaining an A average learning HTML, CSS, JavaScript, and Git. Motivated to build and create things as a web or software developer. I run towards the chance to turn the abstract and theoretical into concrete solutions using computer code. Offers hard earned professionalism, communication skills, an ability to learn quickly, and a driven pursuit of excellence to any team.
Esmond Y. Kim lives and works in Minneapolis, Minnesota. When he's not coding, he's lawyering. When he's not lawyering, he's gaming. When he's not gaming, he's probably sleeping.
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Publish Request. More...
Inherits AmazonServiceRequestConfig.
Public Member Functions | |
| (id) | - init |
| Default constructor for a new PublishRequest object. | |
| (id) | - initWithTopicArn:andMessage: |
| Constructs a new PublishRequest object. | |
| (id) | - initWithTopicArn:andMessage:andSubject: |
| Constructs a new PublishRequest object. | |
| (NSString *) | - description |
| Returns a string representation of this object; useful for testing and debugging. | |
Properties | |
| NSString * | topicArn |
| The topic you want to publish to. | |
| NSString * | message |
| The message you want to send to the topic. | |
| NSString * | subject |
| Optional parameter to be used as the "Subject" line of when the message is delivered to e-mail endpoints. |
Publish Request.
| - (NSString * SNSPublishRequest.)description |
Returns a string representation of this object; useful for testing and debugging.
| - (id SNSPublishRequest.)init |
Default constructor for a new PublishRequest object.
Callers should use the property methods to initialize this object after creating it.
| - (id SNSPublishRequest.)initWithTopicArn: | (NSString *) | theTopicArn | ||
| andMessage: | (NSString *) | theMessage | ||
Constructs a new PublishRequest object.
Callers should use properties to initialize any additional object members.
| theTopicArn | The topic you want to publish to. | |
| theMessage | The message you want to send to the topic. |
Constraints: Messages must be UTF-8 encoded strings at most 8 KB in size (8192 bytes, not 8192 characters).
| - (id SNSPublishRequest.)initWithTopicArn: | (NSString *) | theTopicArn | ||
| andMessage: | (NSString *) | theMessage | ||
| andSubject: | (NSString *) | theSubject | ||
Constructs a new PublishRequest object.
Callers should use properties to initialize any additional object members.
| theTopicArn | The topic you want to publish to. | |
| theMessage | The message you want to send to the topic. |
Constraints: Messages must be UTF-8 encoded strings at most 8 KB in size (8192 bytes, not 8192 characters).
| theSubject | Optional parameter to be used as the "Subject" line of when the message is delivered to e-mail endpoints. This field will also be included, if present, in the standard JSON messages delivered to other endpoints. |
Constraints: Subjects must be ASCII text that begins with a letter, number or punctuation mark; must not include line breaks or control characters; and must be less than 100 characters long.
- (NSString *) message [read, write, retain] |
The message you want to send to the topic.
Constraints: Messages must be UTF-8 encoded strings at most 8 KB in size (8192 bytes, not 8192 characters).
- (NSString *) subject [read, write, retain] |
Optional parameter to be used as the "Subject" line of when the message is delivered to e-mail endpoints.
This field will also be included, if present, in the standard JSON messages delivered to other endpoints.
Constraints: Subjects must be ASCII text that begins with a letter, number or punctuation mark; must not include line breaks or control characters; and must be less than 100 characters long.


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Appendicitis
Appendicitis is an inflammation of the appendix, a finger-shaped pouch that projects from your colon on the lower right side of your abdomen. The appendix doesn't seem to have a specific purpose.Appendicitis causes pain in your lower right abdomen. However, in most people, pain begins around the navel and then moves. As inflammation worsens, appendicitis pain typically increases and eventually becomes severe.Standard treatment is surgical removal of the appendix.
Symptoms
Signs and symptoms of appendicitis may include:
- Sudden pain that begins on the right side of the lower abdomen
- Sudden pain that begins around your navel and often shifts to your lower right abdomen
- Pain that worsens if you cough, walk or make other jarring movements
- Nausea and vomiting
- Loss of appetite
- Low-grade fever that may worsen as the illness progresses
- Constipation or diarrhea
- Abdominal bloating


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US 'concerned' China is seeking to sway Taiwan polls
by Pulse News Agency International by AFPThe de facto US ambassador to Taiwan on Friday expressed concern that Beijing was attempting to influence the island's coming elections, days after China sent its first domestically built aircraft carrier through the Taiwan Strait.
Beijing confirmed earlier this week that the carrier traversed the strait separating China from self-ruled Taiwan, saying it was "routine" training.
"We of course regard any of these threatening actions with concern," said Brent Christensen, the director of the American Institute in Taiwan (AIT), when asked to comment on the sail-by.
AIT serves as the de facto American embassy in Taiwan.
The United States switched diplomatic recognition from Taiwan to China in 1979, but has remained an important ally -- and arms supplier -- to Taipei.
"As to the elections, of course we are aware that China is attempting to apply pressure through various means on Taiwan. Certainly these attempts to influence Taiwan's democratic process are our concerns," he added.
China's sail-by comes as Taiwan gears up for presidential elections in January, with Beijing-sceptic President Tsai Ing-wen seeking a second term against a challenger who favours warmer ties with China.
Christensen said Washington views any efforts to determine Taiwan's future by other than peaceful means as "a threat to peace and security in the Western Pacific".
Foreign minister Joseph Wu tweeted on Sunday that China "intends to intervene" in Taiwan's elections", adding: "Voters won't be intimidated"!
Taiwan's defence ministry said it had dispatched ships and planes to track and closely monitor the carrier's movements, and that US and Japanese vessels trailed it in the narrow waterway separating the island from mainland China.
Beijing has stepped up military and diplomatic pressure on Taiwan since Tsai came to power in 2016, as her government refuses to acknowledge that the self-ruled, democratic island is part of "one China".
Tsai -- who has voiced support for Hong Kong's pro-democracy movement -- has described the elections as a fight for Taiwan's freedom and democracy.
China still sees Taiwan as part of its territory awaiting reunification, by force if necessary.
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Game info
Type: Klondike - Decks: 1 deck (52 cards) -
Redeals: None
- Game time: Medium
- Difficulty level: Medium
- Skill level: Mostly chance
- Chance of winning: Medium (about 1 in 6)
Object of the game: Move all the cards to the foundations.
Rules
Foundations (Four piles)
- Build up in suit from Ace to King. For example, a 2
can only be played on an Ace
.
Tableau (Seven columns of three cards each, two face down
and one face up)
- Build down in alternating colors. For example, a 10
can be played on a Jack
.
- The top card of each column is available for play to the foundations or
to another tableau column.
- A packed sequence, or any portion of it, may be moved to another tableau
column.
- Spaces may be filled with any available card or packed sequence.
Stock
- Click once on the stock to deal a row of seven cards to the tableau.
- There is no redeal.
Strategy
- Free the face down cards in the tableau as soon as possible.
- Try to make at least one space on the tableau as quickly as possible.
- Spaces should be filled with a King or the next highest card available.


| Package | Description |
|---|---|
| eneter.messaging.nodes.broker |
Publish-subscribe scenarios.
|
| Class and Description |
|---|
| AuthorizeBrokerRequestCallback
Callback which is called by broker to authorize publish, subscribe or unsubscribe operation.
|
| BrokerMessage
Internal message used between DuplexBroker and DuplexBrokerClient.
|
| BrokerMessageReceivedEventArgs
Event arguments of the message received from the broker.
|
| DuplexBrokerFactory
Creates broker and broker client.
|
| EBrokerRequest
Specifies the internal broker request inside the
BrokerMessage . |
| IDuplexBroker
Broker component.
|
| IDuplexBrokerClient
Publishes and subscribes messages in the broker.
|
| IDuplexBrokerFactory
Declares the factory to create the broker and the broker client.
|
| PublishInfoEventArgs
Event argument used when the broker published a message.
|
| SubscribeInfoEventArgs
Event argument used when the broker subscribed or unsubscribed a client.
|