Go to the source code of this file.
Enumerations | |
| enum | sfSensorType { sfSensorAccelerometer, sfSensorGyroscope, sfSensorMagnetometer, sfSensorGravity, sfSensorUserAcceleration, sfSensorOrientation, sfSensorCount } |
| Sensor Types. More... | |
Functions | |
| CSFML_WINDOW_API sfBool | sfSensor_isAvailable (sfSensorType sensor) |
| Check if a sensor is available on the underlying platform. More... | |
| CSFML_WINDOW_API void | sfSensor_setEnabled (sfSensorType sensor, sfBool enabled) |
| Enable or disable a sensor. More... | |
| CSFML_WINDOW_API sfVector3f | sfSensor_getValue (sfSensorType sensor) |
| Get the current sensor value. More... | |
| enum sfSensorType |
Sensor Types.
| CSFML_WINDOW_API sfVector3f sfSensor_getValue | ( | sfSensorType | sensor | ) |
Get the current sensor value.
| sensor | Sensor to read |
| CSFML_WINDOW_API sfBool sfSensor_isAvailable | ( | sfSensorType | sensor | ) |
Check if a sensor is available on the underlying platform.
| sensor | Sensor to check |
| CSFML_WINDOW_API void sfSensor_setEnabled | ( | sfSensorType | sensor, |
| sfBool | enabled | ||
| ) |
Enable or disable a sensor.
All sensors are disabled by default, to avoid consuming too much battery power. Once a sensor is enabled, it starts sending events of the corresponding type.
This function does nothing if the sensor is unavailable.
| sensor | Sensor to enable |
| enabled | sfTrue to enable, sfFalse to disable |


Rock, Paper, Scissors - Multiplayer
Log In
Player 1:
Wins:
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Ties:
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Losses:
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Player 2:
Wins:
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Ties:
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Losses:
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Stanford Language and Cognition Lab
In this experiment, you will read interactions between people. Your job is to judge what their actions or comments mean. You will see something they did or said, and a possible interpretation of that. Then you will be asked to indicate how likely it is that the interpretation is true.
Note: you won't be able to preview this HIT before accepting it because it's so short.
By answering the following questions, you are participating in a study being performed by cognitive scientists in the Stanford Department of Psychology. If you have questions about this research, please contact us at<EMAIL_ADDRESS>You must be at least 18 years old to participate. Your participation in this research is voluntary. You may decline to answer any or all of the following questions. You may decline further participation, at any time, without adverse consequences. Your anonymity is assured; the researchers who have requested your participation will not receive any personal information about you. Note however that we have recently been made aware that your public Amazon.com profile can be accessed via your worker ID if you do not choose to opt out. If you would like to opt out of this feature, you may follow instructions available here.
In this task, you will read a children's story, and will be asked to think about the characters in the story. Please tell us what YOU think about these characters (not what another person or a child would think!)
First, you will answer some practice questions.
Click 'Next' to see the practice questions.
Please read the following scenarios and answer some questions about them.
Now you will read two stories and answer some questions about them.
Please click 'Next' to read the first story!
Click 'Next' to read the next part of the story.
Click 'Next' to read the next part of the story.
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Why?
Click 'Next' to read the next story.
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Why?


The goal of healthyR is to help quickly analyze common data problems in the Administrative and Clincial spaces.
You can install the released version of healthyR from CRAN with:
install.packages("healthyR")
And the development version from GitHub with:
# install.packages("devtools") devtools::install_github("spsanderson/healthyR")
This is a basic example which shows you how to solve a common problem:
library(healthyR) library(timetk) ts_ymwdh_tbl(.data = m4_daily, .date_col = date) %>% ts_median_excess_plt( .date_col = date , .value_col = value , .x_axis = wk , .ggplot_group_var = yr , .years_back = 5 ) #> Joining, by = "wk"
What is special about using README.Rmd
instead of just README.md
? You can include R chunks like so:
library(healthyR) library(timetk) ts_ymwdh_tbl(.data = m4_daily, .date_col = date) #> # A tibble: 9,743 x 8 #> id date value yr mn wk wd hr #> <fct> <date> <dbl> <dbl> <ord> <dbl> <ord> <int> #> 1 D10 2014-07-03 2076. 2014 Jul 27 Thu 0 #> 2 D10 2014-07-04 2073. 2014 Jul 27 Fri 0 #> 3 D10 2014-07-05 2049. 2014 Jul 27 Sat 0 #> 4 D10 2014-07-06 2049. 2014 Jul 27 Sun 0 #> 5 D10 2014-07-07 2006. 2014 Jul 28 Mon 0 #> 6 D10 2014-07-08 2018. 2014 Jul 28 Tue 0 #> 7 D10 2014-07-09 2019. 2014 Jul 28 Wed 0 #> 8 D10 2014-07-10 2007. 2014 Jul 28 Thu 0 #> 9 D10 2014-07-11 2010 2014 Jul 28 Fri 0 #> 10 D10 2014-07-12 2002. 2014 Jul 28 Sat 0 #> # ... with 9,733 more rows


Before Change
include_package_data=True,
package_data={
"server": ["services.json"],
"nlp_architect.utils.resources": ["preposition_en.json", "pronoun_en.json",
"stop_words_en.json", "stopwords.txt"]
},
classifiers=[
"Development Status :: 3 - Alpha",
"Environment :: Console",
After Change
with open("README.md", encoding="utf8") as fp:
long_desc = fp.read()
with io.open(os.path.join(root, "nlp_architect", "version.py"), encoding="utf8") as f:
version_f = {}
exec(f.read(), version_f)
version = version_f["NLP_ARCHITECT_VERSION"]
setup(name="nlp-architect",
version=version,
description="Intel AI Lab\"s open-source NLP and NLU research library",
long_description=long_desc,


Images of the uniform cylinder phantom simulated inside the Scanner B reconstructed using OSEM algorithm with six subsets and 24 subiterations. a Cylindrical geometry without normalization, b block geometry without normalization, c cylindrical geometry with normalization, and d block geometry with normalization. The color bar in each row is common


I love working with people, especially if they have the same passion I have for they do.
Drop a line! Would love to hear from you.


| Interface | Description |
|---|---|
| Account |
This interface represents a msmoney Account.
|
| Bill |
The Interface Bill.
|
| Category |
The Interface Category.
|
| Currency |
The Interface Currency.
|
| Frequency |
The Interface Frequency.
|
| InvestmentInfo |
The Interface InvestmentInfo.
|
| InvestmentTransaction |
The Interface InvestmentTransaction.
|
| Payee |
The Interface Payee.
|
| Security |
The Interface Security.
|
| SecurityHolding |
The Interface SecurityHolding.
|
| SecurityPrice |
The Interface Security.
|
| TaxRate | |
| Transaction |
The Interface Transaction.
|
| Transaction.AccountLink |
The Interface Account.
|
| Transaction.CategoryLink |
The Interface Category.
|
| Transaction.Classification1Link |
The Interface Classification1.
|
| Transaction.PayeeLink |
The Interface Payee.
|
| TransactionFilter |
The Interface TransactionFilter.
|
| TransactionInfo |
The Interface TransactionInfo.
|
| TransactionSplit |
The Interface TransactionSplit.
|
| TransactionXfer |
The Interface TransactionXfer.
|
| XferInfo |
The Interface XferInfo.
|
| Class | Description |
|---|---|
| AccountEntry |
The Class AccountEntry.
|
| MnyContext |
The Class MnyContext.
|
| MnyCurrency |
The Class MnyCurrency.
|
| MnyObject |
The Class MnyObject.
|
| Enum | Description |
|---|---|
| EnumAccountType |
Account's type.
|
| EnumInvestmentSubType |
The Enum InvestmentSubType.
|
| EnumSecurityPriceSrc |
Account's type.
|
| EnumTransactionState |
The Enum TransactionState.
|
Copyright © 2018. All rights reserved.


This little thing provides multi-line replacements in text files. Also, it provides in-memory replacements, on a list of strings.
Although there are tons of similar utilities, maybe the mulster has its own goods.
It would be useful when you need:
The mulster is called this way:
tclsh mulster.tcl [options] fileini
where
fileini is a name of file containing settings for replacements
options
are:
-infile input-file-name
means
a name of input file to be processed;-outfile output-file-name
means a name of output file; if -outfile
is omitted, output-file-name
equals to input-file-name
;-backup BAK
means the original input files to be backed up to the BAK
directory (which is default behavior);-backup 0
means the original input files to be not backed up;-keep 1
means that input files' attributes/times will be saved in output files; by default they are not kept;-charset charset
sets a charset of input files, e.g. cp1251;-lineend lineend
sets a line ending of input files, e.g. \r\n (by default, \n);-single 1
means standard 'one string for one string' replacements;-files 1
for OUT= lines to be file names to take the lines from (e.g. for freeWrap, "source" lines to be replaced with Tcl files)-mode
means the mode of matching input against output strings:-mode 0
(or exact0
or EXACT0
) to match exact, without leading/tailing spaces-mode 1
(or exact
or EXACT
), default, to match exact, with all their leading/tailing spaces-mode 2
(or glob
or GLOB
) to match glob pattern-mode 3
(regexp, re, REGEXP, RE
) to match regexp pattern-mode regexp--
to match regexp pattern and call regsub
which means to match regexp for IN= lines and substitute by OUT= lines
regexp
syntax accepted in Tcl.
regexp
and regsub
, only one line is of use to IN=/OUT= block.
-mode regexp-all
to match regexp pattern and call regsub -all
-mode regexp-nocase
to match regexp pattern and call regsub -nocase
-mode regexp-expanded
to match regexp pattern and call regsub -expanded
-mode regexp
can be combined, e.g. -mode regexp-all-nocase
--
switches options off (for fileini).-infile, -outfile, -mode, -backup, -keep, -single, -files, -charset
and -lineend
options can be redefined in fileini
, e.g.
... BACKUP=BAK/new backup dir KEEP=1 CHARSET=cp1251 LINEEND=\r\n INFILE=input file2 name OUTFILE=output file2 name SINGLE=1 MODE=re ...so that these options can be individual for any file(s).
The fileini has the following structure:
INFILE=input file name OUTFILE=output file name IN=BEGIN line #1 to find line #2 to find ... line #N1 to find IN=END OUT=BEGIN line #1 of replacement line #2 of replacement ... line #N2 of replacement OUT=END IN=BEGIN(r1,r2) .... IN=END OUT=BEGIN ... OUT=END ... BACKUP=new backup dir KEEP=1 CHARSET=charset LINEEND=line ending INFILE=input file2 name OUTFILE=output file2 name SINGLE=1 MODE=regexp ...
The INFILE=
and OUTFILE=
set the names of input and output files.
The INFILE=
names can be glob patterns, but OUTFILE=
can contain only "*"
that would be replaced with an appropriate INFILE=
file name, e.g.:
INFILE=~/DOCS/HTML/*.html OUTFILE=~/DOCS/HTML/GENERATED/gen_*.html
so that the input ~/DOCS/HTML/name1.html would result in the output ~/DOCS/HTML/GENERATED/gen_name1.html.
If INFILE=
and OUTFILE=
are glob patterns, the INFILE=
directories are scanned recursively for files matching the input pattern. All output files would be created in appropriate subdirectories of OUTFILE=
root directory.
If input file name is equal to output file name, all modifications are performed on the same file.
All strings between current IN=BEGIN
and IN=END
are replaced with strings between next OUT=BEGIN
and OUT=END
. The sequence of INFILE=, OUTFILE=, IN=, OUT=
is set for each processed file.
The IN=BEGIN(r1,r2)
form means that a range of found matches should be processed as follows:
IN=BEGIN(r1,r2) - r1-th match through r2-th one IN=BEGIN(r1,0) - r1-th match through the last one IN=BEGIN(0,r2) - the same as IN=BEGIN(1,r2) IN=BEGIN(1,1) - first match only IN=BEGIN(0,0) - all matches; the same as IN=BEGIN
All strings outside of INFILE=, OUTFILE=, IN=BEGIN through IN=END, OUT=BEGIN through OUT=END, BACKUP=, KEEP=, CHARSET=, LINEEND=, SINGLE=, FILES=, MODE=
are ignored (being sort of comments).
Note: if the mulster comes across BACKUP=, KEEP=, CHARSET=, LINEEND
or INFILE=
option in fileini, it flushes all collected changes to the current output file and begins a new collection of changes for a new input/output. The SINGLE=, FILES= and MODE= options operate for the next IN=, OUT= blocks.
So, the order of options is important:
BACKUP=, KEEP=, CHARSET=, LINEEND=
go first if anyINFILE=
and OUTFILE=
go nextSINGLE=
, FILES=
and MODE=
go next if any (defined for the following IN=,OUT= blocks)IN=BEGIN
and IN=END
go nextOUT=BEGIN
and OUT=END
go next
For example, applying the following fileini:
INFILE=modul1.tcl OUTFILE=modul2.tcl IN=BEGIN proc1 $a $b proc2 $a2 $b2 IN=END OUT=BEGIN proc3 $a $b $a2 $b2 ;# <=====REPLACED OUT=END
... to the modul1.tcl containing:
1st-comm 2nd-comm proc1 $a $b proc2 $a2 $b2 next-comm #... other commands proc1 $a $b proc2 $a2 $b2
... we get the modul2.tcl containing:
1st-comm 2nd-comm proc3 $a $b $a2 $b2 ;# <=====REPLACED next-comm #... other commands proc3 $a $b $a2 $b2 ;# <=====REPLACED
Examples of calling:
tclsh mulster.tcl mulster1_ini tclsh mulster.tcl -mode 0 mulster2_ini tclsh mulster.tcl -backup ~/BAK mulster3_ini tclsh mulster.tcl -mode glob -backup 0 -keep 0 mulster4_ini
While using the -backup 0
option, please be careful. This mode is well suitable when:
The mulster prints out a log of replacements made (as well as made not).
The #-comments of fileini are printed as well. It's good for debugging.
Also in fileini, you can set MODE=debug
to print the current modes. Use MODE=exit
to stop the processing.
I run into an appropriate case of 'mulstering' some time ago when it occured to me to enhance the context action of Geany IDE. Being not of Geany team nor of their contributors/fans, I couldn't insist on this enhancement with Github PR (though had tried, without success:) At that, forking/cloning Geany from Github to perform my home-made corrections would be an overkill and a waste of time, having in mind the future releases of Geany. Each time at releasing new Geany to do the same manipulations? I'm too lazy, so this scenario isn't for me.
But now, with the mulster at hand, all I need is:
Nearly the same thing has repeated with TKE editor. I have its clone and work at it, but being only a contributor (the author is Trevor Williams) I cannot implement some of its features which are good for me and not acceptable for the author. So, I need these facilities being implemented 'on fly', after pulling TKE from its repository. Then that my changes made, the mulstered TKE code should be undoed before pushing my changes to SourceForge.
These pull/push transactions and accompanying mulsterings are made with one click in a TKE plugin. I need only supervising a short log.
There is a whole class of mulster use cases, namely using it for a fine tuning of generated documents. This way, e.g., trimmer.html and mulster.html had been created initially by Ruff! documentation generator to be processed by mulster afterwards.
The mulster happens to be useful for freeWrap which (ideally) needs one Tcl script to make an executable program. So, we are taking a main Tcl script and replacing its "source" commands with Tcl files which in turn have to be processed as for "source" commands. The problem to resolve here is related to a peculiar mode of sourcing in most cases. This problem is excellently resolved with mulster.
The mulster.zip archive contains fileini files (mulster-geany, mulster-tke, mulster-ruff, mulster-freewrap) to make the appropriate changes for Geany, TKE, Ruff! and freeWrap.
The source of the mulster utility is described at mulster.html generated by Ruff! & mulster.


THE CHAMBERMAID ON THE TITANIC
Reviewed by Harvey Karten, Ph.D. Goldwyn Films Director: Bigas Luna Writer: Bigas Luna, Cuca Canals, Jean-Louis Benoit from the novel by Didier Decoin Cast: Romane Bohringer, Olivier Martinez, Aitana Sanchez Gijon, Didier Bezace, Aldo Maccione
Our elementary school teachers tell us that we should never lie. They point to George Washington, who, admitting that he chopped down the cherry tree, was not punished because he told the truth.  We must never lie.
Nonsense, of course. Look at all the trouble Fletcher Reede (Jim Carrey) got into in "Liar, Liar," in one case securing a punch in the nose by an endowed woman in an elevator for telling her the truth about her anatomy, and about to lose every client he defends in court by being the only honest lawyer in town! Someone once said that if everyone told the truth, there would not be two friends left in the whole world.
Which brings us to "The Chambermaid on the Titanic." This French-Italian-Spanish coproduction is not about to compete with the blockbuster movie starring Leo DiCaprio, nor is it primarily a bedroom farce, sentimental comedy, or gritty, neo-realist view of the lives of working-class men in a French foundry. It is, more accurately, an ode to lying. Without the ability to lie at great length, we would have no theater, no novels, no movies; in short, not a heck of a lot to live for. Or so believes Bigas Luna, who directed and co- wrote this clever work which he divides skillfully into four parts, using a different photographic look for each segment. Even in our own age of mass media and the all- encompassing power of television, we still love to hear a story, and sometimes we gather round a very good prevaricator who will weave a tale of adventure or romance, riveting us simply with the power of his voice and the energy of his narrative.
Such a man is Horty (Olivier Martinez), a handsome, popular, somewhat shy worker who wins an annual contest sponsored by his company's president Simeon (Didier Bezace). By beating the competition in a race, he is given just one ticket that will transport him by rail to Southampton where he will stay in a luxury hotel and then watch the sailing of the Titanic. But he must leave his wife Zoe (Romane Bohringer) behind--which is part of the boss's plan to seduce her while her man is away. In the posh hotel, he is visited late at night by a beautiful woman, Marie (Aitana Sanchez Gijon), who claims to be a chambermaid on the Titanic, but one who is somehow left without a place to stay that night. Offering to share his own quarters with the lovely creature, Horty sleeps with her--literally!--and, loyal to his wife back home, gets to touch the fair roommate only in his dreams. When he returns, he is told that his wife had a brief affair with the company president and, resentful and furious at the thought, he weaves a long, almost totally false story of his sexual escapades, riveting his friends in the local bar. Hired by the majordomo of a traveling theater, Zeppe (Aldo Maccione), he eventually captivates increasingly large audiences with variations on the theme, even affording his wife a part in the daily drama.
We learn in theater history class that at first there was the story; then a single actor to relate the tale; then a second actor to dialogue with the storyteller; eventually a third, an increasingly elaborate set and costume design and instrumental music. "The Chambermaid on the Titanic" is a well-realized microcosm of this three-thousand year chronicle, told economically in just ninety-six minutes, putting the principal performers to fine use. Aitana Sanchez Gijon, whom we all know from her role opposite Keanu Reeves in "A Walk in the Clouds," is radiant as a woman who turns out to be other than she represents; Olivier Martinez an engaging storyteller who is so proficient at what he does that his final episode fools everyone in the movie audience; and Romane Bohringer a competent model of a typical wife of a hard- working industrial laborer in the France of 1915.
Walter Caprara and Bruno Cesari's production design looks authentic down to the iron maiden used to transport Horty to England, and France Squarciapino's costume design was vigorous enough to win an award in that category. In an interview with the director, Bigas Luna expressed his fear that the mass media are drowning the tradition of storytelling, and acknowledges his use of the Titanic to symbolize the gradual sinking of the ancient tradition. Perhaps the great irony of the story is that it took a well-designed movie to project this anxiety and to rejuvenate the teller of lies on his appropriate pedestal. Not Rated. Running time: 96 minutes. (C) Harvey Karten 1998
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


What should happen is that the above script will be displayed in the console after the one below because of the defer option.
Note that this only works when you use a script file rather than inline code.
Interesting comments on the following page Growing with the Web about when to use defer, async or nothing.


Will this problem help you solve the video's Challenge Question?If so, tap the button below to send it to the shared video board.


Obtaining & Installing Tilia¶
Obtaining Tilia¶
Tilia can be downloaded directly from TiliaIT using the Download tab. Once the ZIP file is downloaded it can be opened using a program such as WinRAR, 7ZIP or WinZip. The downloaded file contains a single file setup_tilia_X_Y_ZZZ.exe (where the X, Y and ZZZ represent the version numbering). This file is an executable that will lead you through the setup process. Tilia is built for Windows, but can be installed on Macintosh Brand or Linux system using an emulator.
Installing Tilia on a Macintosh or Linux Machine¶
Tilia is built on a platform that requires the use of Windows. Given its popularity however, people have found solutions for using the software on multiple platforms.
Installing Tilia on a Macintosh¶
The following instructions were kindly provided by `Jonathan Nichols`_: To run Tilia on an OSX machine, the following programs must be installed:
Once Wine and XQuartz (or X11) are installed and running, navigate to the “Start” menu in Wine and select “Run”
Click “Browse” and navigate to the Tilia installer executable (see Obtaining Tilia) and then click “OK”. Hint: Your regular Mac drive is listed as drive “Z:”
Once Tilia is installed it can be run as any other program through Wine.
Installing Tilia on a Linux Machine¶
If you use Linux you can probably figure it out yourself.


vignettes/working_with_eurostat.Rmd
working_with_eurostat.Rmd
Symmetric input-output tables and their auxiliary tables are the most complex, structured statistical products that exit, because they contain relationships among 60x60 industry, the supply and the use of the GDP / GNP, and the income disturbing, trade and transport margins and tax receipts from these industries.
The Eurostat website contains the symmetric input-output data in long form. Working with this data requires a knowledge of the Eurostat SNA vocabulary to arrange the long data in the correct ordering of rows and columns. This is what the preprocessing functions of iotables handle.
Apart from handing a vast and not always well-documented vocabulary, the user is often confronted with “real-life” data issues, such as missing rows and columns in certain members states or spelling errors in the vocabulary. Many hours of testing and exception handling went into the current form of the processing functions, but there are further problems may show up. Most of the testing was done on product x product
type SIOTs, because most member states use them. The functions work with industry x industry
SIOTs, but further vocabulary exception may show up in their use. Please report these issues on github.
You are most likely to work with the product x product tables. For the availability of other data see ?iotables_download
.
The analytical functions are presented at greater detail in the Germany 1990 vignette. The numbering of the equations refers to the Eurostat Manual of Supply, Use and Input-Output Tables (Eurostat Manual, Chapter 15.) The manual was prepared in 2008 under the ESA95
standards. Currently Eurostat uses the ESA2010
definitions, and some indicators in the manual are no longer available. In most uses this will not cause a problem.
Another very useful source of information on how to work with the tables Input-output analytical tables: methods and application to UK National Accounts. Since the United Kingdom at the time of writing the article was a member of the European Union, her national accounts follow the EU ESA standards.
The following code, if specifically run (it will not run on default), will download the latest relevant data from the Eurostat data warehouse, and save it to a directory named ../not_included . The iotables package uses the other rOpenGov package Eurostat with additional processing of the rather complex SIOT bulk files.
The contents of the not_included directory can be found on GitHub, but they are not released and distributed with the package.
#Not run
not_included_directory <- file.path('..', 'not_included')
if ( ! dir.exists(not_included_directory) ) dir.create (not_included_directory)
#The contents of the 'not_included' directory can be found on GitHub,
#but they are not released and distributed with the package.
naio_10_cp1700 <- iotables_download(
"naio_10_cp1700", #SIOT
data_directory = not_included_directory)
# For inclusion in the package, the files must be smaller.
# Reducing the size of the bulk files will not affect
# the demonstration.
naio_10_cp1700 <- naio_10_cp1700 %>%
dplyr::filter ( geo %in% c("CZ", "SK")) %>%
dplyr::filter ( year %in% c(2010, 2015))
#Conforming employment data both sexes from 15 years old, year 2015.
#prod_na vocabulary for product x product conformity
emp_cz <- employment_get(geo = "CZ", year = "2015", sex = "Total",
age = "Y_GE15", labelling = "prod_na",
data_directory = not_included_directory,
force_download = TRUE)
#Conforming employment data #both sexes from 15 years old, year 2017.
emp_sk <- employment_get(geo = "SK", year = "2017", sex = "Total",
age = "Y_GE15", labelling = "prod_na",
data_directory = not_included_directory,
force_download = TRUE)
save (naio_10_cp1700, emp_sk, emp_cz,
file = file.path('..', 'inst', 'extdata',
'naio_10_product_x_product.rda'))
For a quicker building of the vignette, the data is retrieved from the not_included directory. The chunk above can reproduce this data file.
#load from pre-saved file to increase running speed
load (system.file('extdata',
'naio_10_product_x_product.rda',
package = 'iotables') )
In this vignette example the Czech (2015) national currency unit and the Slovak (2010) euro tables are created. Since the Slovak national currency is the euro, there is no difference between the Slovak national currency unit and euro tables.
cz_io <- iotable_get ( labelled_io_data = naio_10_cp1700,
source = "naio_10_cp1700", geo = "CZ",
year = 2015, unit = "MIO_NAC",
stk_flow = "TOTAL",
labelling = "short" )
sk_io <- iotable_get ( labelled_io_data = naio_10_cp1700,
source = "naio_10_cp1700", geo = "SK",
year = 2010, unit = "MIO_EUR",
stk_flow = "TOTAL",
labelling = "short" )
cz_input_flow <- input_flow_get( data_table = cz_io )
sk_input_flow <- input_flow_get( data_table = sk_io)
cz_output <- output_get( data_table = cz_io)
sk_output <- output_get( data_table = sk_io)
By default, total rows and columns are removed when creating use tables.
Iotables removes the columns and rows that are completely empty and creates the input coefficient matrix, which is used for most of the analytical functions.
The input_coefficient_matrix_create()
function relies on the following equation. The numbering of the equations is the numbering of the Eurostat Manual.
It checks the correct ordering of columns, and furthermore it fills up 0 values with 0.000001 to avoid division with zero.
input_coeff_matrix_cz <- input_coefficient_matrix_create(
data_table = cz_io
)
input_coeff_matrix_sk <- input_coefficient_matrix_create(
data_table = sk_io
)
#> Columns and rows of NA, NA, NA, NA, NA are all zeros and will be removed.
knitr::kable(head(input_coeff_matrix_cz[,1:8]))
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| CPA_A01 | 0.1247278 | 0.0060946 | 0.0220441 | 0.0004689 | 0.3049289 | 0.0433435 | 0.0031216 |
| CPA_A02 | 0.0027975 | 0.1304276 | 0.0066800 | 0.0023120 | 0.0002613 | 0.0003007 | 0.2438908 |
| CPA_A03 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0000000 | 0.0007234 | 0.0000000 | 0.0000000 |
| CPA_B | 0.0007114 | 0.0027908 | 0.1843687 | 0.0464026 | 0.0005672 | 0.0010852 | 0.0002330 |
| CPA_C10-12 | 0.1481747 | 0.0003899 | 0.0494322 | 0.0001455 | 0.1537184 | 0.0004053 | 0.0002446 |
| CPA_C13-15 | 0.0048691 | 0.0174423 | 0.0060120 | 0.0077445 | 0.0014149 | 0.2881724 | 0.0013162 |
In the Czech SIOTs, they are removed by the statistical authority, so the Czech SIOTs appear smaller.
Most countries do not use the L_68A, CPA_U [Services provided by extraterritorial organisations and bodies] and CPA_T [Services of households as employers; undifferentiated goods and services produced by households for own use]industries, instead they use L_68B for the income component of real estates, and they do not calculate the In order to prevent division by zero errors, they are symmetrically removed from rows and columns. This will not change the results.
The Leontieff matrix is derived from Leontieff equation system.
The Leontieff matrix is defined as \((I-A)\) and it is created with the leontieff_matrix_create()
function.
The Leontieff inverse is (I-A)-1 and it is created with the leontieff_inverse_create()
function from the Leontieff-matrix.
The code chunk below prints a small part of the Czech Leontieff-inverse.
L_cz <- leontieff_matrix_create( input_coeff_matrix_cz )
I_cz <- leontieff_inverse_create( input_coeff_matrix_cz )
L_sk <- leontieff_matrix_create( input_coeff_matrix_sk )
I_sk <- leontieff_inverse_create( input_coeff_matrix_sk )
knitr::kable(head(I_cz[,1:8]))
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| CPA_A01 | 1.2259342 | 0.0145906 | 0.0556468 | 0.0077698 | 0.4477719 | 0.0841593 | 0.0160654 |
| CPA_A02 | 0.0074116 | 1.1584704 | 0.0123554 | 0.0064437 | 0.0062990 | 0.0045882 | 0.3595795 |
| CPA_A03 | 0.0001602 | 0.0000050 | 1.0000531 | 0.0000047 | 0.0009176 | 0.0000166 | 0.0000071 |
| CPA_B | 0.0613068 | 0.0268029 | 0.2513917 | 1.1010207 | 0.0515437 | 0.0512433 | 0.0487318 |
| CPA_C10-12 | 0.2183097 | 0.0053221 | 0.0711943 | 0.0043237 | 1.2639393 | 0.0191994 | 0.0066710 |
| CPA_C13-15 | 0.0164678 | 0.0339691 | 0.0192012 | 0.0192664 | 0.0143365 | 1.4139195 | 0.0184852 |
You can create the Leontieff-matrix and its inverse from the output coefficient matrix, too, starting with output_coefficient_matrix_create()
if you know what you are doing!
The direct effects can be compared to intermediate production, domestic product or total supply.
The calculation follows the Eurostat Manaul on p497-499
\(a_{ij}\) = input coefficient \(z_{ij}\) = input of type i in sector j (i.e. products or capital or labor) \(x_j\) = output of sector j
By default, direct_supply_effects_create()
will compare inputs to total final demand / supply. You can make comparisons to total product or total output, too. The code below prints a part of the Czech direct effects rounded to 4 digits.
primary_inputs_cz <- coefficient_matrix_create(data_table = cz_io,
total = 'output',
return = 'primary_inputs')
primary_inputs_sk <- coefficient_matrix_create(data_table = sk_io,
total = 'output',
return = 'primary_inputs')
#> Columns and rows of NA, NA, NA, NA, NA are all zeros and will be removed.
direct_cz <- direct_effects_create( primary_inputs_cz, I_cz )
direcz_sk <- direct_effects_create( primary_inputs_sk, I_sk )
knitr::kable (head(direct_cz[,1:8]), digits = 4)
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| TOTAL_effect | 1.6834 | 1.0952 | 1.6870 | 1.3066 | 2.0105 | 1.7403 | 1.8346 |
| P7_effect | 1.1504 | 0.5339 | 2.6106 | 3.7138 | 1.4740 | 2.7952 | 0.9758 |
| D1_effect | 0.4264 | 0.2608 | 0.5582 | 0.5140 | 0.4317 | 0.4720 | 0.3670 |
| D11_effect | 0.3257 | 0.1997 | 0.4212 | 0.3770 | 0.3281 | 0.3557 | 0.2792 |
| D29X39_effect | -0.1631 | -0.0083 | -0.1921 | -0.0118 | -0.0594 | -0.0132 | -0.0033 |
| P51C_effect | 0.2271 | 0.1470 | 0.2732 | 0.2627 | 0.2105 | 0.2105 | 0.1824 |
Direct effects measure the initial, direct impact of the change in demand and supply for a product. When production goes up, it will create demand in all supply industries (backward linkages) and create opportunities in the industries that use the product themselves (forward linkages.)
This is not the total effect, because some of the increased production will translate into income, which in turn will be used to create further demand in all parts of the domestic economy. The total effect is characterized by multipliers.
The input_multipliers_create
function will create the various multipliers for each product.
B = vector of input coefficients compared to final demand / supply.
Z = direct and indirect requirements for wages (or other income)
The calculation follows the Eurostat Manual p 499-502.
The code chunk below prints a part of the Czech multipliers, rounded to 4 digits.
primary_inputs_cz <- coefficient_matrix_create(data_table = cz_io,
total = 'output',
return = 'primary_inputs')
primary_inputs_sk <- coefficient_matrix_create(data_table = sk_io,
total = 'output',
return = 'primary_inputs')
#> Columns and rows of NA, NA, NA, NA, NA are all zeros and will be removed.
multipliers_cz <- input_multipliers_create( primary_inputs_cz, I_cz )
multipliers_sk <- input_multipliers_create( primary_inputs_sk, I_sk )
knitr::kable (head(multipliers_cz[,1:8]), digits = 4)
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| <environment>_multiplier | 2.7349 | 2.4817 | 2.6584 | 2.6774 | 2.6756 | 2.6720 | 2.5171 |
| <environment>_multiplier | 4.3810 | 5.3101 | 2.3346 | 1.2878 | 2.4907 | 1.8916 | 4.4461 |
| <environment>_multiplier | 2.5807 | 2.7261 | 2.0634 | 1.6869 | 3.8260 | 2.5307 | 3.3160 |
| <environment>_multiplier | 2.5562 | 2.6990 | 2.0474 | 1.7224 | 3.8490 | 2.5445 | 3.3161 |
| <environment>_multiplier | 1.2222 | 1.4523 | 1.0535 | 1.1609 | 1695.1985 | 7.1750 | -6.9818 |
| <environment>_multiplier | 2.4184 | 2.4343 | 2.2227 | 1.8254 | 4.7038 | 2.9675 | 3.8517 |
The creation of the employment indicator is facilitated with the data processing function employment_get
. The employment data as input data is not part of the Eurostat SIOT files, and the Eurostat employment data uses a more disaggregated structure. This function downloads and brings the employment data to conforming aggregate vector.
Other inputs, for example, CO2 emissions may be used, but they are likely to be need a manual aggregation. The helper function conforming_vector_create
will create an empty vector that you can save as a .csv or Excel file and fill up manually with customary input data.
#New function is needed to add employment vector to SIOT
names ( emp_sk )[1] <- 'prod_na'
names ( emp_cz )[1] <- 'prod_na'
emp_indicator_sk <- rbind (
sk_io[, 1:66],
emp_sk) %>% coefficient_matrix_create(.,
return_part = 'primary_inputs') %>%
filter ( prod_na == "employment_total" )
emp_indicator_cz <- full_join (
cz_io,
emp_cz) %>% coefficient_matrix_create(.,
return_part = 'primary_inputs') %>%
filter ( prod_na == "employment_total" )
emp_effect_sk <- direct_effects_create( emp_indicator_sk, I_sk )
emp_effect_cz <- direct_effects_create( emp_indicator_cz, I_cz )
knitr::kable (emp_effect_cz[1:8], digits = 5)
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| employment_total_effect | 0.00121 | 0.00111 | 0.0024 | 0.0011 | 0.00119 | 0.00155 | 0.00137 |
#New function is needed to add employment vector to SIOT
emp_multiplier_sk <- input_multipliers_create( emp_indicator_sk, I_sk )
emp_multiplier_cz <- input_multipliers_create( emp_indicator_cz, I_cz )
knitr::kable (emp_multiplier_cz[1:8], digits=5)
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| <environment>_multiplier | 2.19587 | 1.75467 | 1.3926 | 1.81069 | 3.10277 | 2.03429 | 2.49164 |
output_multipliers_cz <- output_multiplier_create (input_coeff_matrix_cz)
output_multipliers_sk <- output_multiplier_create (input_coeff_matrix_sk)
knitr::kable (head(output_multipliers_cz[,1:8]), digits=4)
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| output_multipliers | 2.6834 | 2.0952 | 2.687 | 2.3066 | 3.0105 | 2.7403 | 2.8346 |
Backward linkages show the effect on industries that are suppliers to the production (industry) in question.
cz_bw <- backward_linkages(I_cz)
sk_bw <- backward_linkages(I_sk)
knitr::kable (head(cz_bw[,1:8]), digits=4)
| prod_na | CPA_A01 | CPA_A02 | CPA_A03 | CPA_B | CPA_C10-12 | CPA_C13-15 | CPA_C16 |
|---|---|---|---|---|---|---|---|
| backward linkages | 2.6834 | 2.0952 | 2.687 | 2.3066 | 3.0105 | 2.7403 | 2.8346 |
Forward linkages show the effects on other industries that use the product (industry output) at question as an input. Forward linkages can be derived from the ouput coefficient table.
output_coeff_cz <- output_coefficient_matrix_create(
io_table = cz_io, total = "tfu", digits = 4)
output_coeff_sk <- output_coefficient_matrix_create(
io_table = sk_io, total = "tfu")
knitr::kable (head(output_coeff_cz[,1:8]))
From the output coefficient matrix we can create the Leontieff-matrix for outputs, its inverse, and summarize for forward linkages. These steps are taking place in the forward_linkages
function.
cz_fw <- forward_linkages ( output_coeff_cz )
sk_fw <- forward_linkages( output_coeff_sk )
knitr::kable (head(cz_fw), digits=4)
This code will not run, unless you run it separately. The resulting files can be used to check calculations in Excel or other application.
The contents of the not_included directory can be found on GitHub, but they are not released and distributed with the package.
require(xlsx)
cz_file_name <- file.path("..", "not_included", "CzechRep_test.xlsx")
#Czech Republic data
xlsx::write.xlsx ( cz_io, file = cz_file_name, sheetName = "io_table",
col.names=TRUE, row.names=TRUE, append=FALSE)
xlsx::write.xlsx ( cz_output, file = cz_file_name, sheetName = "cz_output",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( input_coeff_matrix_cz, file = cz_file_name,
sheetName = "input_coeff_matrix_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( L_cz, file = cz_file_name, sheetName = "L_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( I_cz, file = cz_file_name, sheetName = "I_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( direct_cz, file = cz_file_name,
sheetName = "direct_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( multipliers_cz, file = cz_file_name,
sheetName = "multipliers_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( emp_effect_cz, file = cz_file_name,
sheetName = "emp_effect_cz_2015",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( emp_indicator_cz, file = cz_file_name,
sheetName = "emp_indicator_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( emp_multiplier_cz, file = cz_file_name,
sheetName = "emp_multiplier_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( cz_bw, file = cz_file_name,
sheetName = "cz_backward_linkages",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( output_coeff_cz, file = cz_file_name,
sheetName = "output_coeff_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( cz_fw, file = cz_file_name,
sheetName = "cz_forward_linkages",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( output_multipliers_cz, file = cz_file_name,
sheetName = "output_multipliers_cz",
col.names=TRUE, row.names=TRUE, append=TRUE)
sk_file_name <- file.path("..", "not_included", "SlovakRep_test.xlsx")
#Czech Republic data
xlsx::write.xlsx ( sk_io, file = sk_file_name, sheetName = "io_table",
col.names=TRUE, row.names=TRUE, append=FALSE)
xlsx::write.xlsx ( sk_output, file = sk_file_name, sheetName = "sk_output",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( input_coeff_matrix_sk, file = sk_file_name,
sheetName = "input_coeff_matrix_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( L_sk, file = sk_file_name, sheetName = "L_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( I_sk, file = sk_file_name, sheetName = "I_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( direct_sk, file = sk_file_name,
sheetName = "direct_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( multipliers_sk, file = sk_file_name,
sheetName = "multipliers_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( emp_effect_sk, file = sk_file_name,
sheetName = "emp_effect_sk_2015",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( emp_indicator_sk,file = sk_file_name,
sheetName = "emp_indicator_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( emp_multiplier_sk, file = sk_file_name,
sheetName = "employment_multipliers_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( sk_bw, file = sk_file_name,
sheetName = "sk_backward_linkages",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( output_coeff_sk, file = sk_file_name,
sheetName = "output_coeff_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( sk_fw, file = sk_file_name,
sheetName = "sk_forward_linkages",
col.names=TRUE, row.names=TRUE, append=TRUE)
xlsx::write.xlsx ( output_multipliers_sk, file = sk_file_name,
sheetName = "output_multipliers_sk",
col.names=TRUE, row.names=TRUE, append=TRUE)


You can submit keys with the below form using your UVA email address. Keys should be of the format CNS{something_here}


{{/* Copyright 2020 syzkaller project authors. All rights reserved. Use of this source code is governed by Apache 2 LICENSE that can be found in the LICENSE file. Bug lifetimes graph. */}}


FAST, CHEAP & OUT OF CONTROL (Sony Pictures Classics - 1997) Produced by Errol Morris Directed by Errol Morris Running time: 80 minutes
*** (out of four stars) Alternate Rating: B
Note: Some may consider portions of the following text to be spoilers. Be forewarned.
-------------------------------------------------------------
Very few filmmakers could even conceive of crafting a film in the manner which Errol Morris did for his latest film, FAST, CHEAP & OUT OF CONTROL, and even fewer filmmakers could actually pull it off. It is no surprise that Mr. Morris was successful, of course -- he's clearly one of cinema's greatest documentarians (consider, if you will, that among his illustrious filmography one will find entries for GATES OF HEAVEN [his first feature, to boot], A BRIEF HISTORY OF TIME, *and* the landmark 1988 film THE THIN BLUE), and once again he has brought forth yet another interesting and completely inventive film with his newest documentary.
Ostensibly a film which examines the varied occupations of four seemingly dissimilar men -- Rodney Brooks, a M.I.T. robotics expert; Dave Hoover, an aging circus lion tamer who idolizes the late circus trainer Clyde Beatty; Ray Mendez, a mole rat researcher; and George Mendonca, an elderly topiary gardener -- FAST, CHEAP & OUT OF CONTROL is far more ambitious in scope than to simply document these vocations, and is subtle in revealing its intended implications. Only gradually do the parallels between the endeavours of the subjects become evident, and progressively the film's themes become apparent.
Initially, one can see no obvious connection between the film's four subjects -- one can understandably fail to see much in common between the work of a lion tamer and that of a gardener, or of a robotics developer for that matter -- but Mr. Morris cleverly utilises interviews with the subjects and associative footage of their work in a unique manner. FAST, CHEAP & OUT OF CONTROL stealthily weaves interview footage of the four subjects, at times intercutting the commentary of one with the activities of another, evoking new meaning to their diatribes and new inadvertent insights. However, these implications are never explicit in their presentation during the film, leaving it very much up as an exercise to the viewer to detect and decipher the additional layers of complexity given to each of these scenes. It's quite a novel and stunning technique which keeps the audience perpetually involved, and certainly a method which lifts the film above the drabness which afflicts a typical talking-head documentary.
Mr. Morris' film is hardly overly cerebral, though -- while educational and provocative, FAST, CHEAP & OUT OF CONTROL is also highly entertaining and often funny. Mr. Mendez's wild enthusiasm and clear affection for his blind, hairless mole rats, in conjunction with his attire (especially the bow-tie) make for humourous viewing, while it is mildly surreal to observe Mr. Brooks' unblinking cheeriness during his prognostication of the forthcoming obsolescence of "carbon-based life", to be eventually replaced by his beloved silicon-based "lifeforms". However, it's Mr. Morris' great affection for his subjects, clearly evident throughout the film, which allow us to titter at the depths of the subjects' fascinations without a hint of ridicule entering the mix. The comic nature of FAST, CHEAP & OUT OF CONTROL is accentuated by Caleb Sampson's quirky score, as well as mixing typical headshot interview footage with miscellaneous clips from old movie serials (including one featuring Clyde Beatty), which, as much in this film, at first appears to have little relevance but ultimately resonates strongly with the themes explored.
It is perhaps a good thing that FAST, CHEAP & OUT OF CONTROL does not heavily rely on the interview sessions with Mr. Morris' four spotlighted men as the sole basis for its highly unconventional narrative, for it seems to run out of material about fifteen minutes prematurely; that the film can continue to confound and fascinate despite the further lack of insight into the four subjects during the film's final fifth lessens the severity of this shortcoming. Yet another triumph for Mr. Morris, FAST, CHEAP & OUT OF CONTROL is both a profile of four interesting professions, and a contemplation of the quickly changing scope of humanity and man's unsated, inordinate demand for control.
- Alex Fung email<EMAIL_ADDRESS>web : http://www.ncf.carleton.ca/~aw220/
-- Alex Fung<EMAIL_ADDRESS>| http://www.ncf.carleton.ca/~aw220/ "I'll shoot for the Queen, and you can shoot for, well, whomever." - Richard Harris, UNFORGIVEN
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


input_transformers = []
task_type = "classification"
featurizers = [CircularFingerprint(size=1024)]
tasks = ["outcome"]
task_type = "classification"
task_types = {task: task_type for task in tasks}
input_transformers = []
task_type = "classification"
featurizer = CircularFingerprint(size=1024)
tasks = ["outcome"]
task_type = "classification"
task_types = {task: task_type for task in tasks}


Multiples of Even Distribution
Data are evenly distributed when on the projection areas of the same size contain the same amount of data. Division of the surface of the hemisphere by the whole number of data produces the area which contains one data point in an even distribution. Multiples of even distribution are given if more then one point lies on this area.


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MESSAGE FROM THE CHAIR
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Dear students, faculty, staff and alumni,
I am delighted to present the Department for the Study of Religion (DSR) fall newsletter, written and compiled by the multi-talented Nicole Bergot, our new communications lead.
Becoming chair in the midst of a global pandemic has certainly posed its share of challenges, which I discuss in an interview with Nicole that you will find below. I’m grateful to be working with such incredible staff, faculty and students to keep our research and teaching going despite everything.
And keeping on we are! This newsletter collects the accomplishments, upcoming events and insights of DSR faculty, students and alumni. You can read about how DSR undergrads are faring during this strange semester, listen to Professor Arti Dhand’s COVID-19-inspired Mahabharata podcast and learn more about Walid Saleh and Amanda Goodman’s research grant that grew out of a U of T reading group. Also included are Professor J. Barton Scott’s take on an eccentric astrologist, Professor Nada Moumtaz’s critique of disaster charity and PhD candidate Suzanne van Geuns’ analysis of hate speech on the internet.
We also caught up with DSR alumna Audrey Rochette (‘20) to talk about her role as the Indigenous Partnerships & Relations Specialist at Woodsworth College. Amir Hussain (‘01) spoke with us about his experiences as chair and professor of Theological Studies at Loyola Marymount University and about becoming vice-president of the American Academy of Religion.
We recently celebrated the graduation of three PhDs, four MAs, one specialist, three majors and six minors from our department with our first online convocation celebration. Family, friends, students and faculty joined from Egypt, British Columbia, Alberta, Alabama, Georgia, Quebec, California and more. We wish our graduates the very best as they embark on their next adventures and look forward to all the ways in which they will bring the study of religion into the world.
No matter where in the world this newsletter finds you, I welcome the opportunity to keep you informed of the exciting and vital work being done at the Department for the Study of Religion. Please be in touch with your own news — I'd love to hear from you!
— Pamela Klassen FRSC
Professor & Chair of the Department for the Study of Religion
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NEWS AND EVENTS
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A conversation with new Chair Pamela Klassen on taking on this role during a pandemic and her vision for the department moving forward.
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DSR specialist and Religion Undergrad Student Association President Mukti Patel discusses her love for the study of religion and how this weird semester is shaking out for U of T undergrads.
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Audrey Rochette (‘20) speaks about her work decolonizing spaces and dispelling stereotypes through her professional platforms. She encourages students to take courses that help them unpack their “own understanding of Indigenous peoples and their continued resistance, resilience and commitment to challenging the misrepresentation of historical and contemporary narratives.”
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Amir Hussain (‘01) discusses his approach to teaching the study of religion. “You try to be relevant and understand what they’re into. I ask them what they’re listening to, and they tell me ‘I like old school rock and roll, like Nirvana and Pearl Jam’, and I’m like, ‘that’s old school to you?’”
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DSR Professor Arti Dhand brings the Indian Epic to life in her weekly podcast on The Mahabharata.
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DSR Professor J. Barton Scott in The Revealer: Mucho Mucho Amor, Mucho Mucho Religion, a review of a documentary about Puerto Rican astrologer Walter Mercado.
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DSR Professor Nada Moumtaz in U Chicago Divinity School: The Donation Dilemma — Charity in the aftermath of the Beirut Explosion.
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DSR PhD candidate Suzanne van Geuns examines the intersection of religion and digital communications technologies to better understand right-wing online subcultures.
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DSR researchers have been awarded a five-year Social Sciences and Humanities Research Council (SSHRC) Insight Grant for their "Practices of Commentary" project. Principle investigators include Walid Saleh and Amanda Goodman.
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Professor Pamela Klassen and Dr. Krista Barclay have received an award from the Connaught Community Partnerships Research Program for their project, Treaty Teachings: How Universities, Communities, and Museums Can Work Together to Tell the History of Treaty 3.
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Professor Alexander J.B. Hampton has won an SSHRC Connections Grant to support his Cambridge Companion to Religion, Nature and the Environment in the West.
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Professor David Novak has won the Canadian Jewish Literary Award for his book, Athens and Jerusalem: God, Humans, and Nature.
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Congratulations to Fall 2020 Department for the Study of Religion Graduates!
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DSR Celebrations! Promotions, Appointments and Acknowledgements.
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The University of Toronto respects your privacy.
We do not rent, trade or sell our mailing lists.
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Congratulations! The TickTee for Android is now on Google Play Store!
Well, that is a big moment for myself. First App For Android.
And also the new feature is here: user could specify the particular day of week you would like to work on your project. The prediction will notify you the daily required progress. That is definitely convenient.
This feature is also available on web app.
Next step, I need to build some layout for specific project like budget, saving or reading book and so forth. Again… It is still on my todo list.
So much work need to do for our robot and bulletproof pos. So this is a late update.
Hope you enjoy the new app Ticktee For Android.


Holds information about playing video and methods to extract them.
- Source:
-
- xtt.js, line 3773
Members
-
<static, readonly> isChannel :Boolean
-
Indicate that video is part of a channel.
Type:
- Boolean
- Source:
-
- xtt.js, line 3793
-
<static, readonly> isEmbedded :Boolean
-
Indicate that video is Iframe embedded video or YouTube pop-up video (page that opens after user right clicks on flash player and choose option Pop out).
Type:
- Boolean
- Source:
-
- xtt.js, line 3802
-
<static, readonly> isPlaylist :Boolean
-
Indicate that video is part of a play list.
Type:
- Boolean
- Source:
-
- xtt.js, line 3809
-
<static, readonly> isPopup :Boolean
-
Indicate that video is part of a YouTube pop-up page. When this property is
true
xtt.video.isEmbedded is alsotrue
.Type:
- Boolean
- Source:
-
- xtt.js, line 3818
-
<static, readonly> isPreview :Boolean
-
Indicate that video is part of a YouTube pop-up page which itself is part of video thumbnail preview. When this property is
true
xtt.video.isEmbedded and xtt.video.isPopup are alsotrue
.Type:
- Boolean
- Source:
-
- xtt.js, line 3828
-
<static, readonly> isWatch :Boolean
-
Indicate that video is part of a regular YouTube page.
Type:
- Boolean
- Source:
-
- xtt.js, line 3835
-
<static, readonly> length :Number
-
Video length (in seconds).
Type:
- Source:
-
- xtt.js, line 3842
Methods
-
<static> getVideoID() → {String}
-
Get ID of currently playing video.
- Source:
-
- xtt.js, line 4012
Returns:
ID of current video.- Type
- String
-
<static> getVideoSize() → {Object}
-
Get size of currently playing video. For flash videos predefined resolution is returned which may not be accurate. For HTML 5 videos real resolution is returned.
- Source:
-
- xtt.js, line 4031
Returns:
Object with information about video resolution. Returned object will have width, height and ratio properties.- Type
- Object
-
<static> getVideoTitle() → {String}
-
Get title of currently playing video.
- Source:
-
- xtt.js, line 4073
Returns:
Title of current video.- Type
- String
-
<static> getVideoURI(encode) → {String}
-
Get URI of currently playing video.
Parameters:
Name Type Argument Default Description encode
Boolean <optional>
false Return URI as URI-encoded string. - Source:
-
- xtt.js, line 4091
Returns:
URI of current video.- Type
- String


Resources
Tools
- Chrome / browser that will be used for demos in class (use any browser you like, but some developer tools or menus may look different)
- Brackets / a text editor for HTML, CSS, and JavaScript code that will be used for in-class demo. You are welcome to use another editor, if you prefer.
- Cyberduck / FTP tool for uploading files to a server
- How to FTP / uploading your files to the DMA server with Cyberduck
- Showing File Extensions on Mac
Web Design
- Lorem Ipsum generator / placeholder text to use for your layout
- Web colors list
- Color palette creator
Web Typography
- Web safe fonts list / free webfonts
- Google Fonts / more free webfonts
- The Elements of Typographic Style Applied to the Web / Great resource for web type best practices.
- Typewolf Typography Cheat Sheet / source for keyboard shortcuts and Html Entity names for common typographic marks, like dashes and typographer’s quotes.
- W3C: Common HTML entities used for typography / similar to the above, but also includes unicode values
HTML and CSS
- HTML Element Reference
- Codecademy HTML Glossary
- CSS Property Reference
- CSS Selectors / list of simple and advanced selectors
- Codecademy: HTML & CSS
- Khan Academy: Intro to HTML & CSS
- MDN: Intro to HTML
- Learn HTML & CSS / another great tutorial
- Learn CSS Layout
- Guide to Flexbox
- Mozilla Flexbox documentation
- CSS Grid Layout
- Grid by Example
- CSS Tricks: Complete Guide to Grids
- Cursor Property for changing the Cursor
- Media Queries
- Beginner's guide to media queries
- Look Ma, No Media Queries! Responsive Layouts Using CSS Grid / Guide to responsives grids with examples and documentation
Alt Text and Image Description
- WebAIM Alternate Text guide / General Guide for Alt Text across numerous uses, address art images
- How to write an image description / General guide for alt text across multiple uses, addresses identity and and art images
- Cooper Hewitt Museum: How to write an image description / Guide for image description from art museum, deals with art+design work specifically
- Alt Text as Poetry Workbook / Deals with more evocative alt text, from two working artists
- How to Write Alt Text for Amatuer Art / Guide addressed to art makers


Typical Data Types
String – The string data type is a sequence of all character types such as letters, numbers, punctuation, spaces and various symbols. Unless declared in your code, this data type does not have a maximum number of characters which can be stored. It does, however, have a minimum amount, 0. For example, ‘This is an example string’ can be stored within a string variable.
Double - Whilst there are many other data types which can store numbers, double has a benefit over many of them – the magnitudes at which it can store numbers. The range of numbers that double can store spans +/-1.79769313486231570E+308 to +/-4.94065645841246544E-324 for positive and negative values, meaning it can save both incredibly large and incredibly small values. This data type does store the approximate value, unlike the decimal data type.
Decimal - Similar to double, decimal is a data type which can store numbers. However, a decimal can provide a massive number of ‘significant’ digits, even more than double can hold. The decimal data type can store a maximum of 28 decimal places, and can accurately round numbers, making it very ideal for financial circumstances where rounding is crucial.
Char - Unlike the above data types, char is a 16-bit character, meaning it can only store a single character at one time. This data type does not involve the use of much storage, in most cases, RAM as the contents of this variable is usually used for selection or very basic calculations. As stated above, some data types have led to the development of others. In this case, varchar is an array of char, allowing for multiple characters to be stored.


Set: Kind of flat but still pretty content.

Preparations: Light meditation and anointing of my room with incense.
Previous Drug Use: One other shroom trip, weed, a couple different uppers and downers, morning glory seeds, DXM, and alcohol.
This experience took place yesterday (Monday night). I had just bought a 1/4 of shrooms from my neighbor and was going to wait until Wednesday to eat them since I'd have the house to myself and I don't have to go to school (teacher in-service.) Of course, I couldn't wait that long. So when 11 o'clock came and my parents were fast asleep I anointed my room with incense and split the quarter of shrooms in half and chomped on the vile stuff for about 5 minutes.
While I waited for the effects to come on, I reclined in my bed and watched Family Guy on Adult Swim. As I felt the tingling in my legs and the stomach cramps begin, I recollected on my previous trip a couple days earlier. In hindsight, I probably shouldn't have taken another trip in such a short amount of time from my previous one, but what can I do now? I decided to make one last trip to the bathroom before the effects got any stronger, and then returned to my bed.
The first visuals made themselves known as the bending of different objects in my room. My bookshelves, TV, and dresser all bent into curved-looking objects. When the TV screen would go black I'd see little red and green sparks of electricity on the screen. The last visions I got before a long lull was that my dresser seemed to be very uneven looking. It looked as though it was jetted very far out from my wall, and that the panels were different sizes than normal.
That was it. The visions ended. Behind my eyes I saw nothing. All I had was the buzzing in my ears, and that was it. This caused very much disappointment for myself. This disappointment soon turned into a very pissed off feeling. I started to think that I should sell the other 1/8 and return to my search for LSD. It's almost impossible to get acid around here, and I'd practically kill for it.
Now VERY pissed, I took off my glasses and closed my eyes. Sure enough, I started to make out morphing patterns behind my eyes. YES! It wasn't a waste of a perfectly good 1/8 after all! Faint, but recognizable patterns started to align my eyelids. Kaleidoscopic images and odd female-faced spider people started to come into my vision. However, these soon passed and I re-opened my eyes. This is where I realized how much my thought process was altered.
I started to think about the different people I was friends with, and I realized that I was too judging of them. I was far too quick to point out their flaws, even though they were quite obvious and plentiful. I thought about my father, and how he was a pretty good dad, but a slacker none-the-less. I went on in this way for what seemed like hours, analyzing almost every aspect of my life and getting over a lot of the emotional shit that I was going through up until then. I don't want to go into detail, but it was tremendous therapy. I thought to myself 'Wow, now I get why psychedelic means of the mind. This is like Dr. Phil on acid!' I giggled with glee.
Then the trip went in an entirely different direction. I suddenly just started making weird hand gestures that left funny shadows on the wall that faced the TV. I must've sat there for like 20 minutes just making hand gestures and rubbing the wall. Now I started to roll about my bed like a joyous kitten. Crawling under the covers, tossing the pillows, and letting my mind roam freely.   All the people lived in a funny town that was checkered black and white, with pointy buildings that reminded me of that hill in A Nightmare Before Christmas that Jack Skellington walked on as it stretched itself out for him to walk. I kept moving away from this alien city and began noticing all of the absurdly curved roads leading to this city, which was now miles away.
Opening my eyes once more, I was confronted by the wall that faces my TV screen, which was now covered in morphing images that looked like the background of those old Black Sabbath videos, only some-what fainter. Once more I began to play with my hands and casting shadows on the ever-changing wall.  An endless number of eyes stared back at me. Not realistic eyes, but eyes that looked like they were drawn onto my wall and arms. Once more I found myself rubbing my wall and noticing its smooth texture.
  I did this for another 5 minutes or so, until I realized that it was nearly 3:30, and that school was going to be soon. What seemed like a mere minute after I closed my eyes, I was awoken by my mother. Getting out of bed I noticed unusual aftereffects. By unfocusing my eyes, I could see odd little things moving about everywhere. So I stayed home from school and slept all day.
What I thought was going to be a waste of perfectly good shrooms actually turned out to be quite a unique experience that focused mainly on the physical and mental aspects, opposed to the visuals. The way I looked at it then, and still look at it now, is that I decided that I wasn't just going to witness hallucinations, but become them; merge with them in one big orgasmic dance of physical contortions beneath the covers of my bed. I eagerly await my next trip, which will most likely be this weekend or next. All I can say about this trip was that I was liberated from my normal mental functioning and my normal physical behavior. And I wouldn't change this experience one bit...except maybe the nasty taste of those shrooms! ;)
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Pittsburgh Joe
A website about a young gentleman named Joseph Bender
Born October 7, 1992
Student
Joe is a student at the University of Pittsburgh.
He is an Information Science major in his third year.

Athlete
Joe is on the Pitt Ultimate Frisbee team.
They are a super committed group of guys and have been national champions two years running.
They practice and run track three days a week, and it helps Joe stay in shape.
Friend
Joe is a loyal friend.
He live in a house with 7 other people from his sports team and they all get along famously.
They like to watch movies, listen to music, and throw parties!


In order to utilize Bahunya correctly, you have to write semantically correct HTML (that's it :) ). However, Bahunya made certain decisions about correct HTML that you will have to know to use it.
Listless Navigation
You'll notice that Bahunya's navbar only works with a listless navigation (one without ul
and li
elements). This is because people with screen readers find it easier to navigate listless navigation as the screen reader peruses it quicker than a listful
(?) navigation.
 An

containing an anchor tag for the site
title, and then the anchor tags for the links and the hamburger menu.

BAHUNYA

<input type="checkbox" id="menu-toggle">
☰
STARTUP
MINIMAL
BOLD
GITHUB

HTML Structure
Bahunya uses the following HTML semantic hierarchy.
<!DOCTYPE html>

<link rel="stylesheet" href="https://cdn.rawgit.com/kimeiga/bahunya/css/bahunya-0.1.1.css"/>

SITE_TITLE

PAGE-1

SITE-TITLE

Stuff

Section of stuff

Copyright

Somewhere
Somewhere else

Bahunya is following the Semrush Semantic HTML5 guide.
As you can see, there's a
,
, and
. Inside the header, there's a
that is rendered to a navbar, and the rest is an actual header of the page.
The
contains the body of the content. The

tag is good semantics, so I recommend using it. It just makes the width of the main body smaller. If you want sub-sections of the content, use

tags.


Smart Home
Home
Living Places
Living Hall
Bed Room 1
Bed Room 2
Power Room
Kitchen
Bath room
Total Switch
Dynamic
Admin
Manage Room
Manage House Holds
Manage Ports
Manage User
Manage Schedule
Contact Us
Sign Up
Login
×
Danger!
This alert box could indicate a dangerous or potentially negative action.
70% Complete
70% Complete


Michael Spearman
Seattle, WA
Vancouver, BC
University of British Columbia
Computer Science
Education
University of British Columbia
BA Computer Science (Anticipated), 3.5 in-major GPA
Favorite Courses: human-computer interaction, web development, algorithms and data structures and network computing.
Languages: proficient in Objective-C, JavaScript and Python. Familiar with Java, C/C++, Ruby and SQL.
Tools: AngularJs, Rails, UNIX, Git, Xcode, Eclipse, Bootstrap, jQuery.
Spring 2017 (anticipated graduation)
Work
Interests


Beta v.0.2
Find the size that fits you best based on people just like you.
Age has an impact on how your weight is distributed. Knowing your age helps us make an accurate size recommendation.
Based on the information you provided to us and what others with similar body types have choosen, your best fit is a Large!


Carson Control Panel
New Project
All form fields are required.
Name
Trigger
Command
Are you sure you want to delete the project?


INFOGRAFIS: Gemerlap Trofi Mourinho Goda Tottenham 20 Nov 2019, 20:52 by , https://www.facebook.com/CNNIndonesia (bas/ptr)


{{event_detail.event.description}}
list of members in a {{event_detail.event.event_name}} event
| # | Full Name | Gender | Phone | Acadamic Department | Graduation Year | created By | Action | |
|---|---|---|---|---|---|---|---|---|
| {{i+1}} | {{contact.full_name}} | {{contact.gender}} | {{contact.phone}} | {{contact.email}} | {{contact.Acadamic_department}} | {{contact.graduation_year | date :'fullDate'}} | {{contact.created_by}} |


Angular App with Vue Web Component
We're sorry but vue-wc doesn't work properly without JavaScript enabled. Please enable it to continue.


| 798 | (A) | Faughte witħ felonye and funyde witħ speris |
| 802 | (C) | ¶ with foynynge rigħt felly . & spendeden her speres |
| 794 | (D) | Felly they fogħtyn and foynid with speris |
| 774 | (E) | fellich þei foughtyn . & foynede with speres |
| (Ex) | ---- no text ---- | |
| 818 | (L) | fouȝt riȝt felly foyned with speres |
| 745 | (P) | Faght in fel?? funed with speres |
| 781 | (U) | Felonsly thei foughten / and foyned with speres |
| (V) | ---- no text ---- |


Here, you can upload compound sets for follow up compounds (computed 3D coordinates) The current instructions are here: postera forum
The current specification version is ver_1.2
{% autoescape off %} {% if download_url %} {{ download_url }} {% endif %} {% if table %} {{ table }} {% endif %} {% endautoescape %}


Iona Toolbox
Updated: 20-Oct-2019
Secured with AES Encryption
https://josephdouce.github.io/iona-toolbox
© Joseph Douce 2020
File data will be displayed here


Who We Are
Takeoffs.io is a construction technology startup transforming material take-off, cost estimating and pre-construction. We are building an entirely new kind of approach to the way construction materials are identified, sourced and estimated, which brings together all key stakeholders.
At Takeoffs, we work with smart people and give them the freedom to explore and implement new ideas to solving tough problems. We’re a globally distributed team and won’t force you to come in to the office (though you'll always have a desk if you want) if you already have a preferred work location.
About The Position
The Senior ML/CV Engineer takes pride in the creation of scalable, well-organized pipelines enabling the research team to focus on their crafts. They can build end-to-end workflows that begin with local file storage and end with trained and deployable models, and explain these workflows to other team-members. They can make optimal technology decisions that employ the latest and most effective data processing and machine learning tools, to take the fullest advantage of available resources. They have an aesthetic appreciation for clean, modularized and well-documented code and treat their code-bases like they do their own home.
This role has a high level of autonomy and provides an amazing platform to build a business they can be proud of, and which will reward them for success.


LANTIS PORTOFOLIO
This website is intended for practicing coding at moringa school.Any resemblance to aonther website is pure coincidence and should be taken as such.No piracy or cloning act was perpetrated against the said similar website(English Grammar Test)


In web-development we meet binary data mostly while dealing with files (create, upload, download). Another typical use case is image processing.
That’s all possible in JavaScript, and binary operations are high-performant.
Although, there’s a bit of confusion, because there are many classes. To name a few:
ArrayBuffer
, Uint8Array
, DataView
, Blob
, File
, etc.Binary data in JavaScript is implemented in a non-standard way, compared to other languages. But when we sort things out, everything becomes fairly simple.
The basic binary object is ArrayBuffer
– a reference to a fixed-length contiguous memory area.
We create it like this:
js run let buffer = new ArrayBuffer(16); // create a buffer of length 16 alert(buffer.byteLength); // 16
This allocates a contiguous memory area of 16 bytes and pre-fills it with zeroes.
``warn header="
ArrayBufferis not an array of something" Let's eliminate a possible source of confusion.
ArrayBufferhas nothing in common with
Array`:
buffer[index]
.
`ArrayBuffer` is a memory area. What's stored in it? It has no clue. Just a raw sequence of bytes.
**To manipulate an `ArrayBuffer`, we need to use a "view" object.**
A view object does not store anything on it's own. It's the "eyeglasses" that give an interpretation of the bytes stored in the `ArrayBuffer`.
For instance:
- **`Uint8Array`** -- treats each byte in `ArrayBuffer` as a separate number, with possible values from 0 to 255 (a byte is 8-bit, so it can hold only that much). Such value is called a "8-bit unsigned integer".
- **`Uint16Array`** -- treats every 2 bytes as an integer, with possible values from 0 to 65535. That's called a "16-bit unsigned integer".
- **`Uint32Array`** -- treats every 4 bytes as an integer, with possible values from 0 to<PHONE_NUMBER>. That's called a "32-bit unsigned integer".
- **`Float64Array`** -- treats every 8 bytes as a floating point number with possible values from 5.0x10-324 to 1.8x10308.
So, the binary data in an `ArrayBuffer` of 16 bytes can be interpreted as 16 "tiny numbers", or 8 bigger numbers (2 bytes each), or 4 even bigger (4 bytes each), or 2 floating-point values with high precision (8 bytes each).
![](arraybuffer-views.svg)
`ArrayBuffer` is the core object, the root of everything, the raw binary data.
But if we're going to write into it, or iterate over it, basically for almost any operation – we must use a view, e.g:
```js run
let buffer = new ArrayBuffer(16); // create a buffer of length 16
*!*
let view = new Uint32Array(buffer); // treat buffer as a sequence of 32-bit integers
alert(Uint32Array.BYTES_PER_ELEMENT); // 4 bytes per integer
*/!*
alert(view.length); // 4, it stores that many integers
alert(view.byteLength); // 16, the size in bytes
// let's write a value
view[0] = 123456;
// iterate over values
for(let num of view) {
alert(num); // 123456, then 0, 0, 0 (4 values total)
}
The common term for all these views (Uint8Array
, Uint32Array
, etc) is TypedArray. They share the same set of methods and properities.
Please note, there’s no constructor called TypedArray
, it’s just a common “umbrella” term to represent one of views over ArrayBuffer
: Int8Array
, Uint8Array
and so on, the full list will soon follow.
When you see something like new TypedArray
, it means any of new Int8Array
, new Uint8Array
, etc.
Typed arrays behave like regular arrays: have indexes and are iterable.
A typed array constructor (be it Int8Array
or Float64Array
, doesn’t matter) behaves differently depending on argument types.
There are 5 variants of arguments:
new TypedArray(buffer, [byteOffset], [length]);
new TypedArray(object);
new TypedArray(typedArray);
new TypedArray(length);
new TypedArray();
If an ArrayBuffer
argument is supplied, the view is created over it. We used that syntax already.
Optionally we can provide byteOffset
to start from (0 by default) and the length
(till the end of the buffer by default), then the view will cover only a part of the buffer
.
If an Array
, or any array-like object is given, it creates a typed array of the same length and copies the content.
We can use it to pre-fill the array with the data:
js run *!* let arr = new Uint8Array([0, 1, 2, 3]); */!* alert( arr.length ); // 4, created binary array of the same length alert( arr[1] ); // 1, filled with 4 bytes (unsigned 8-bit integers) with given values
If another TypedArray
is supplied, it does the same: creates a typed array of the same length and copies values. Values are converted to the new type in the process, if needed.
js run let arr16 = new Uint16Array([1, 1000]); *!* let arr8 = new Uint8Array(arr16); */!* alert( arr8[0] ); // 1 alert( arr8[1] ); // 232, tried to copy 1000, but can't fit 1000 into 8 bits (explanations below)
For a numeric argument length
– creates the typed array to contain that many elements. Its byte length will be length
multiplied by the number of bytes in a single item TypedArray.BYTES_PER_ELEMENT
:
js run let arr = new Uint16Array(4); // create typed array for 4 integers alert(Uint16Array.BYTES_PER_ELEMENT); // 2 bytes per integer alert(arr.byteLength); // 8 (size in bytes)
Without arguments, creates an zero-length typed array.
We can create a TypedArray
directly, without mentioning ArrayBuffer
. But a view cannot exist without an underlying ArrayBuffer
, so gets created automatically in all these cases except the first one (when provided).
To access the ArrayBuffer
, there are properties:
arr.buffer
– references the ArrayBuffer
.arr.byteLength
– the length of the ArrayBuffer
.So, we can always move from one view to another:
let arr8 = new Uint8Array([0, 1, 2, 3]);
// another view on the same data
let arr16 = new Uint16Array(arr8.buffer);
Here’s the list of typed arrays:
Uint8Array
, Uint16Array
, Uint32Array
– for integer numbers of 8, 16 and 32 bits.
Uint8ClampedArray
– for 8-bit integers, “clamps” them on assignment (see below).Int8Array
, Int16Array
, Int32Array
– for signed integer numbers (can be negative).Float32Array
, Float64Array
– for signed floating-point numbers of 32 and 64 bits.``warn header="No
int8or similar single-valued types" Please note, despite of the names like
Int8Array, there's no single-value type like
int, or
int8` in JavaScript.
That’s logical, as Int8Array
is not an array of these individual values, but rather a view on ArrayBuffer
.
### Out-of-bounds behavior
What if we attempt to write an out-of-bounds value into a typed array? There will be no error. But extra bits are cut-off.
For instance, let's try to put 256 into `Uint8Array`. In binary form, 256 is `100000000` (9 bits), but `Uint8Array` only provides 8 bits per value, that makes the available range from 0 to 255.
For bigger numbers, only the rightmost (less significant) 8 bits are stored, and the rest is cut off:
![](8bit-integer-256.svg)
So we'll get zero.
For 257, the binary form is `100000001` (9 bits), the rightmost 8 get stored, so we'll have `1` in the array:
![](8bit-integer-257.svg)
In other words, the number modulo 2<sup>8</sup> is saved.
Here's the demo:
```js run
let uint8array = new Uint8Array(16);
let num = 256;
alert(num.toString(2)); // 100000000 (binary representation)
uint8array[0] = 256;
uint8array[1] = 257;
alert(uint8array[0]); // 0
alert(uint8array[1]); // 1
Uint8ClampedArray
is special in this aspect, its behavior is different. It saves 255 for any number that is greater than 255, and 0 for any negative number. That behavior is useful for image processing.
TypedArray
has regular Array
methods, with notable exceptions.
We can iterate, map
, slice
, find
, reduce
etc.
There are few things we can’t do though:
splice
– we can’t “delete” a value, because typed arrays are views on a buffer, and these are fixed, contiguous areas of memory. All we can do is to assign a zero.concat
method.There are two additional methods:
arr.set(fromArr, [offset])
copies all elements from fromArr
to the arr
, starting at position offset
(0 by default).arr.subarray([begin, end])
creates a new view of the same type from begin
to end
(exclusive). That’s similar to slice
method (that’s also supported), but doesn’t copy anything – just creates a new view, to operate on the given piece of data.These methods allow us to copy typed arrays, mix them, create new arrays from existing ones, and so on.
DataView is a special super-flexible “untyped” view over ArrayBuffer
. It allows to access the data on any offset in any format.
arr[i]
.DataView
we access the data with methods like .getUint8(i)
or .getUint16(i)
. We choose the format at method call time instead of the construction time.The syntax:
buffer
– the underlying ArrayBuffer
. Unlike typed arrays, DataView
doesn’t create a buffer on its own. We need to have it ready.byteOffset
– the starting byte position of the view (by default 0).byteLength
– the byte length of the view (by default till the end of buffer
).For instance, here we extract numbers in different formats from the same buffer:
```js run // binary array of 4 bytes, all have the maximal value 255 let buffer = new Uint8Array([255, 255, 255, 255]).buffer;
let dataView = new DataView(buffer);
// get 8-bit number at offset 0 alert(dataView.getUint8(0)); // 255
// now get 16-bit number at offset 0, it consists of 2 bytes, together interpreted as 65535 alert(dataView.getUint16(0)); // 65535 (biggest 16-bit unsigned int)
// get 32-bit number at offset 0 alert(dataView.getUint32(0)); //<PHONE_NUMBER> (biggest 32-bit unsigned int)
dataView.setUint32(0, 0); // set 4-byte number to zero, thus setting all bytes to 0 ```
DataView
is great when we store mixed-format data in the same buffer. For example, when we store a sequence of pairs (16-bit integer, 32-bit float), DataView
allows to access them easily.
ArrayBuffer
is the core object, a reference to the fixed-length contiguous memory area.
To do almost any operation on ArrayBuffer
, we need a view.
TypedArray
:
Uint8Array
, Uint16Array
, Uint32Array
– for unsigned integers of 8, 16, and 32 bits.Uint8ClampedArray
– for 8-bit integers, “clamps” them on assignment.Int8Array
, Int16Array
, Int32Array
– for signed integer numbers (can be negative).Float32Array
, Float64Array
– for signed floating-point numbers of 32 and 64 bits.DataView
– the view that uses methods to specify a format, e.g. getUint8(offset)
.In most cases we create and operate directly on typed arrays, leaving ArrayBuffer
under cover, as a “common denominator”. We can access it as .buffer
and make another view if needed.
There are also two additional terms, that are used in descriptions of methods that operate on binary data:
ArrayBufferView
is an umbrella term for all these kinds of views.BufferSource
is an umbrella term for ArrayBuffer
or ArrayBufferView
.We’ll see these terms in the next chapters. BufferSource
is one of the most common terms, as it means “any kind of binary data” – an ArrayBuffer
or a view over it.
Here’s a cheatsheet:


1)
Mrs. Graham told the students
to grow
a sapling for their Science
project.
2)
It was a pleasure to
meet you.
3)
Dad was thinking about his
childhood.
4)
I love to read Calvin
and Hobbes.
5)
That poor boy showed honesty
7)
He is going to visit
Spain.
8)
Greg was rewarded for his
bravery.


Kali Linux is an linux based operating system(os) for it is not like windows the graphical interface is improved quite while in kali linux
but like windows it is must safer to use and dosnt give users all the access to do things as it is not used by everyone therefore number of
viruses is less than in windows so is quite safer.Basicaly kali linux is an os which is made for pentesters and for cyber geeks in kali linux
we get pre installed program used for testing bugs in website wifi network password security and many more things some popoular tools are msfconsole
Nmap and many more . so kali linux is an os in which we can perform multiple task for cyber security some people misuse these tools,
so here is a video on how you can install kali linux in your computer using Vmware workstation which creates a virtual enviorment for kali linux to run


Robin Soubry
About Me
Projects
Blog
Contact
Leave me a trail!
I would be happy to hear from you!
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Last Name:
E-mail:


Performance data for Home Office
4.1m
transactions
Services with the most transactions
- 698k Register a birth
- 321k Orders for a copy of a birth, death or marriage certificate
- 287k Police complaints submitted
- 188k Visa applications
- 181k Adult First checks
Services with the least transactions
How is this data calculated?
64%
transactions online
28% paper
4% phone
3% face-to-face
1% other
Services with the highest percentage of online transactions
- 78% Orders for a copy of a birth, death or marriage certificate
- 73% Visa applications
- 69% Late death registrations
- 69% Life in the UK Test
- 57% Visa applications
Services with the highest percentage of offline transactions
How is this data calculated?
42
services
Home Office
- Adoption orders and new birth certificate
- Apply for a passport
- Name of service
- Corrections to registers of births, marriages and deaths
- Late death registrations
- Register a birth
Disclosure and barring service
- Name of service
- Name of service
- Name of service
- Name of service
- Name of service
- Name of service
- Name of service
- Name of service


Hon Lao
Project Portfolio
Hon Lao is a fourth year computer science undergraduate student studying at University of California, San Diego. He enjoys sharpening knives and emotional chinese music.
Past Projects
Past Experience
Github Account


SevenLetters, Inc.
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