WITNESS LIST
Finance
March 30, 2016 9:30 AM
Fiscal Responsibility Charge
ON:
Bell, Lara LBB Staff (also providing written testimony) (LBB)
Colyandro, John E.D. / Public Policy organization (also providing written testimony)
(TCCRI)
Fernandez, Linda Director of Educational Opportunities & Investments (also providing
written testimony) (Comptroller)
Ginn, Dr. Vance Economist (also providing written testimony) (TPPF), Austin, TX
McGeady, John Asst. Director (also providing written testimony) (LBB)
Morganti, Emily LBB Staff (also providing written testimony) (LBB)
Parks, Ursula Director, LBB (also providing written testimony) (Legislative Budget
Board)
Vera, Colleen Retired Teacher (Self), Houston, TX
Welch, Ken Deputy Director (also providing written testimony) (Teacher Retirement
System of Texas), Austin, TX
Wilson, Porter Executive Director (also providing written testimony) (Employees
Retirement System of Texas), Austin, TX
Registering, but not testifying:
ON:
Latsha, Rob Director I Finance (Bond Review Board)
Pharr, Machelle Chief Financial Officer (Employees Retirement System of Texas), Austin,
TX
Franchise Tax Charge
ON:
Barton, Karey W Associate Deputy Comptroller for Tax (also providing written testimony)
(Comptroller of Public Accounts)
Castro, Eva De Luna Analyst (also providing written testimony) (Center for Public Policy
Priorities)
Currah, Tom Chief Revenue Estimator (also providing written testimony) (Comptroller of
Public Accounts), Austin, TX
Ginn, Dr. Vance Economist (also providing written testimony) (TPPF), Austin, TX
Greener, Jerome State Director for Americans for Prosperity (also providing written
testimony) (Self)
Kennedy, John Senior Analyst (also providing written testimony) (Texas Taxpayers and
Research Assoc.), Austin
Newton, Will Executive Director (also providing written testimony) (NFIB), Austin
Parks, Ursula Director, LBB (also providing written testimony) (Legislative Budget
Board)
Pulver, Wayne Legislative Aide (also providing written testimony) (Texas Legislative
Budget Bd)
Registering, but not testifying:
ON:
Warren, Ed (Comptroller of Public Accounts)
WITNESS LIST
Finance
March 30, 2016 9:30 AM
Sales Tax Holiday Weekend Charge
ON:
Barton, Karey W Associate Deputy Comptroller for Tax (also providing written testimony)
(Comptroller of Public Accounts)
Currah, Tom Chief Revenue Estimator (also providing written testimony) (Comptroller of
Public Accounts), Austin, TX
Holbrook, Lisa President, Texas PTA (Parent Teacher Assoc) (also providing written
testimony) (Texas PTA), Houston
Kelemen, George President/CEO (also providing written testimony) (Texas Retailers
Assoc.)
Newton, Will Executive Director (NFIB), ATX
Parks, Ursula Director, LBB (also providing written testimony) (Legislative Budget
Board)
Reynolds, Brad Revenue Estimator (also providing written testimony) (Comptroller)
Samms, Brakeysnia State Policy Fellow (also providing written testimony) (Center for
Public Policy Priorities), Austin, TX


Blade Runner (1982) A movie review by Serdar Yegulalp (C) 1997 by Serdar Yegulalp
CAPSULE: The godfather of modern science fiction films earns every bit of its culthood, its influence, its longevity, and even its pretensions.
There is something very intimidating in the way BLADE RUNNER has so completely lionized the sphere of the imagination in sf, in movies, in culture, in futureology, in a whole heap of things that would previously not seemed to have much potential to inform each other. But they have. BLADE RUNNER is not just a movie -- and a remarkable one at that -- but a cultural reference point, a landmark.
When movies like CITIZEN KANE, 2001, LAWRENCE OF ARABIA and GONE WITH THE WIND were released, they changed how movies of their kind -- and many other kinds -- were thought about, conceived, executed, and dealt with. BLADE RUNNER did the same, not only with sf movies in general, but with the whole *act* of looking into the future. The hokey glittering utopias of movies like LOGAN'S RUN had been replaced with a perpetually extended now, a world in which one layer of jury-rigging on top of another was "progress". This was what the future as we knew it *felt* like.
The plot is basic noir, given a techno-injection.  He retired, but is now being dragged back in for one last job that involves several extremely advanced and dangerous "skin jobs", as replicants are snidely termed. The irony of the replicants' plight is plain: the motto of the company that makes them is "More Human Than Human", but their inherent lack of dignity and their built-in obsolescence -- a calculated four-year life span -- renders them pitiful. Deckard has pity for them, and cannot own up to it. There is also Rachel, a replicant who is the prototype for the models he has been sent to destroy, who was given false memories as a way of making her more credibly human, and it works so well that Deckard finds himself drawn to her. And then there is Roy, the vicious but also angrily philosophical ringleader of the replicants, who rages against the dying of his light -- a noble enemy who has a lesson for Rick in the end.
Ford's acting is monotonous; deliberately so. He is playing a character, as we soon see, who either does not have emotions to begin with, or has systematically cut himself off from them. (In which case, what's the difference?) And in that light, the hokey narration that was slathered on top of the original release to "clarify" the movie's substance seems weirdly appropriate. The acting, both in his case and throughout the movie, works through the accumulation of details -- it's never any one thing, but everything: the way he says "Kiss me", the way he tries to drink and gets blood in his glass, the way he bluffs his way into an exotic dancer's dressing room.
And then there is the movie's look, which has been copied and slavishly imitated in comics, in other movies, books, advertising, and God knows what else. In other movies, we felt like we were looking at sets; BLADE RUNNER makes us feel like we're peeking *into* the future, it's so closed-ended, total, and convincing. The haunting Vangelis score makes the already-wide scope of the movie seem even broader, almost operatic -- especially in scenes like the one where Roy confronts his maker and doesn't like what he finds.
BLADE RUNNER had a difficult production history -- much of the budget and production value for the movie was supplied by the Shaw Brothers kung-fu filmmaking house -- and was critically rejected and commerically unsuccessful on its first release. Audiences who were used to Ford's Indiana Jones / Han Solo schtick were turned off by the brooding, introspective Rick Deckard. The brutal violence and overall atmosphere of gloom didn't help things either - and still make the movie overwhelming on first viewing.
In fact, BLADE RUNNER is a movie that demands being seen at least twice -- once to get the spectacle and shock value of the movie assimilated, and another time to let the story unwind and present itself. Beyond the look and feel, the story and theme of BLADE RUNNER show great promise of withstanding the test of time and making the film not only prophetic, but deep and true.
Four out of four hovercars -- a fifth, if at all possible.
<EMAIL_ADDRESS>EFNet IRC: GinRei http://www.io.com/~syegul another worldly device... Finger me on IRC for address for after-hours (EST) experimental HTTP server.
you can crush me as I speak/write on rocks what you feel/now feel this truth
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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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.
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Single zone residential hydronic example using a heat pump as heating production system
This is a single zone residential hydronic system model with an air-source heat pump and floor heating for WP 1.2 of IBPSA project 1.
This model represents a simplified residential dwelling for a family of 5 members. The building envelope model is based on the BESTEST case 900 test case. The envelope model is therefore similar to the one used in IDEAS.Examples.IBPSA.SingleZoneResidentialHydronic but it is scaled to an area that is 4 times larger. Particularly, the model consists of a single zone with a rectangular floor plan of 12 by 16 meters and a height of 2.7 m. The internal wall mass is modelled using a single wall with a a length that equals three times the building width plus two times the building length. This assumes that there are around 12 rooms in the building. The zone further consists of several south-oriented windows, which are modelled using a single window of 24 m2.
Exterior walls
The walls are modelled using IDEAS.Buildings.Components.OuterWall and consist of the following layers:
Name |
Thickness [m] |
Thermal Conductivity [W/m-K] |
Specific Heat Capacity [J/kg-K] |
Density [kg/m3] |
Layer 1 (wood siding) |
0.009 |
0.14 |
900 |
530 |
Layer 2 (insulation) |
0.0615 |
0.04 |
1400 |
10 |
Layer 3 (concrete block) |
0.1 |
0.51 |
1000 |
1400 |
Floor
The floor is modelled using IDEAS.Buildings.Components.SlabOnGround and consists of the following layers:
Name |
Thickness [m] |
Thermal Conductivity [W/m-K] |
Specific Heat Capacity [J/kg-K] |
Density [kg/m3] |
Layer 1 (concrete) |
0.15 |
1.4 |
840 |
2100 |
Layer 2 (insulation) |
0.20 |
0.02 |
1470 |
30 |
Layer 3 (screed) |
0.05 |
0.6 |
840 |
1100 |
Layer 4 (tile) |
0.01 |
1.4 |
840 |
2100 |
Roof
The roof is modelled using IDEAS.Buildings.Components.OuterWall and consist of the following layers:
Name |
Thickness [m] |
Thermal Conductivity [W/m-K] |
Specific Heat Capacity [J/kg-K] |
Density [kg/m3] |
Layer 1 (roof deck) |
0.019 |
0.14 |
900 |
530 |
Layer 2 (fiber glass) |
0.1118 |
0.04 |
840 |
12 |
Layer 3 (plaster board) |
0.01 |
0.16 |
840 |
950 |
The zone is occupied by 5 people before 7 am and after 8 pm each weekday and full time during weekends.
There are no internal loads other than the occupants.
The model uses a climate file containing one year of weather data for Brussels, Belgium.
An air-to-water modulating heat pump of 15 kW nominal heating capacity extracts energy from the ambient air to heat up the floor heating emission system. A fan blows ambient air through the heat pump evaporator when the heat pump is operating. The floor heating system injects heat between Layer 2 (insulation) and Layer 3 (screed), with water as working fluid. The floor heating pump has a nominal mass flow rate of 0.5 kg/s when the heat pump is working.
Heat pump
A water-to-air heat pump with a scroll compressor is used. The heat pump is modelled as described by:
H. Jin. Parameter estimation based models of water source heat pumps. PhD Thesis. Oklahoma State University. Stillwater, Oklahoma, USA. 2012.
with air instead of water blowing through the evaporator. Air condensation is therefore neglected. The model parameters are obtained by calibration of the heat pump model to manufacturer performance data following the procedure explained in this heat pump calibration guide using manufacturer performance data from a Carrier air-to-water heat pump model 30AW015 which data can be found in this manufacturer datasheet.
For more information of the heat pump model we refer to the model documentation.
Fluid movers
The floor heating system circulation pump has the default total efficiency of the pump model, which is 49 % at the time of writing (motor and hydraulic efficiencies are separately 70 % each). Also the fan that blows ambient air through the heat exchanger uses this default total efficiency of 49 %. The nominal mass flow rate of the floor heating circulation pump is of 0.5 kg/s and the nominal pressure rise of the heat pump evaporator fan is of 0.1 kPa.
A baseline controller is implemented to procure comfort within the building zone. A PI controller is tuned with the zone operative temperature as the controlled variable and the heat pump modulation signal for compressor frequency as the control variable. The control variable is limited between 0 and 1, and it is computed to drive the zone operative temperature towards a reference defined as the heating comfort set-point plus an offset which varies depending on the occupancy schedule: during occupied periods the offset is set to only 0.2 degrees Celsius and is meant to avoid discomfort from slight oscilations around the set-point; during unoccupied periods the offset is set to 5.5 degrees Celsius and is meant to compensate for the large temperature setback used during these periods. The latter offset prevents the need of abrubpt changes in the indoor temperature that may not be achievable because of the large thermal inertia of the floor heating system and which would consequently cause discomfort. All other equipment (fan for the heat pump evaporator circuit and floor heating emission system pump) are slaves of the heat pump functioning, i.e. they are switched on when the heat pump is working (modulating signal higher than 0) and switched off otherwise.
The model inputs are:
oveFan_u
[1] [min=0.0, max=1.0]: Integer signal to control the heat pump evaporator fan either on or off
oveHeaPumY_u
[1] [min=0.0, max=1.0]: Heat pump modulating signal for compressor speed between 0 (not working) and 1 (working at maximum capacity)
ovePum_u
[1] [min=0.0, max=1.0]: Integer signal to control the emission circuit pump either on or off
oveTSet_u
[K] [min=278.15, max=308.15]: Zone operative temperature setpoint
The model outputs are:
reaCO2RooAir_y
[ppm] [min=None, max=None]: CO2 concentration in the zone
reaCOP_y
[1] [min=None, max=None]: Heat pump COP
reaFan_y
[1] [min=None, max=None]: Control signal for fan
reaHeaPumY_y
[1] [min=None, max=None]: Block for reading the heat pump modulating signal
reaPFan_y
[W] [min=None, max=None]: Electrical power of the heat pump evaporator fan
reaPHeaPum_y
[W] [min=None, max=None]: Heat pump electrical power
reaPPumEmi_y
[W] [min=None, max=None]: Emission circuit pump electrical power
reaPum_y
[1] [min=None, max=None]: Control signal for emission cirquit pump
reaQFloHea_y
[W] [min=None, max=None]: Floor heating thermal power released to the zone
reaQHeaPumCon_y
[W] [min=None, max=None]: Heat pump thermal power exchanged in the condenser
reaQHeaPumEva_y
[W] [min=None, max=None]: Heat pump thermal power exchanged in the evaporator
reaTRet_y
[K] [min=None, max=None]: Return water temperature from radiant floor
reaTSetCoo_y
[K] [min=None, max=None]: Zone operative temperature setpoint for cooling
reaTSetHea_y
[K] [min=None, max=None]: Zone operative temperature setpoint for heating
reaTSet_y
[K] [min=None, max=None]: Zone operative temperature setpoint
reaTSup_y
[K] [min=None, max=None]: Supply water temperature to radiant floor
reaTZon_y
[K] [min=None, max=None]: Zone operative temperature
weaSta_reaWeaCeiHei_y
[m] [min=None, max=None]: Cloud cover ceiling height measurement
weaSta_reaWeaCloTim_y
[s] [min=None, max=None]: Day number with units of seconds
weaSta_reaWeaHDifHor_y
[W/m2] [min=None, max=None]: Horizontal diffuse solar radiation measurement
weaSta_reaWeaHDirNor_y
[W/m2] [min=None, max=None]: Direct normal radiation measurement
weaSta_reaWeaHGloHor_y
[W/m2] [min=None, max=None]: Global horizontal solar irradiation measurement
weaSta_reaWeaHHorIR_y
[W/m2] [min=None, max=None]: Horizontal infrared irradiation measurement
weaSta_reaWeaLat_y
[rad] [min=None, max=None]: Latitude of the location
weaSta_reaWeaLon_y
[rad] [min=None, max=None]: Longitude of the location
weaSta_reaWeaNOpa_y
[1] [min=None, max=None]: Opaque sky cover measurement
weaSta_reaWeaNTot_y
[1] [min=None, max=None]: Sky cover measurement
weaSta_reaWeaPAtm_y
[Pa] [min=None, max=None]: Atmospheric pressure measurement
weaSta_reaWeaRelHum_y
[1] [min=None, max=None]: Outside relative humidity measurement
weaSta_reaWeaSolAlt_y
[rad] [min=None, max=None]: Solar altitude angle measurement
weaSta_reaWeaSolDec_y
[rad] [min=None, max=None]: Solar declination angle measurement
weaSta_reaWeaSolHouAng_y
[rad] [min=None, max=None]: Solar hour angle measurement
weaSta_reaWeaSolTim_y
[s] [min=None, max=None]: Solar time
weaSta_reaWeaSolZen_y
[rad] [min=None, max=None]: Solar zenith angle measurement
weaSta_reaWeaTBlaSky_y
[K] [min=None, max=None]: Black-body sky temperature measurement
weaSta_reaWeaTDewPoi_y
[K] [min=None, max=None]: Dew point temperature measurement
weaSta_reaWeaTDryBul_y
[K] [min=None, max=None]: Outside drybulb temperature measurement
weaSta_reaWeaTWetBul_y
[K] [min=None, max=None]: Wet bulb temperature measurement
weaSta_reaWeaWinDir_y
[rad] [min=None, max=None]: Wind direction measurement
weaSta_reaWeaWinSpe_y
[m/s] [min=None, max=None]: Wind speed measurement
No lighting model is included.
No shading model is included.
The model uses moist air despite that no condensation is modelled in any of the used components.
A simple, single circulation loop is used to model the floor heating system as well as the air circulation through the heat pump evaporator.
Fixed air infiltration corresponding to an n50 value of 10 is modelled.
The Peak Heat Day (specifier for /scenario
API is 'peak_heat_day'
) period is:
The Typical Heat Day (specifier for /scenario
API is 'typical_heat_day'
) period is:
All pricing scenarios include the same constant value for transmission fees and taxes of each commodity. The used value is the typical price that household users pay for the network, taxes and levies, as calculateed by Eurostat and obtained from: "The energy prices and costs in Europe report". For the assumed location of the test case, this value is of 0.20 EUR/kWh for electricity.
The Constant Electricity Price (specifier for /scenario
API is 'constant'
) profile is:
The Dynamic Electricity Price (specifier for /scenario
API is 'dynamic'
) profile is:
The Highly Dynamic Electricity Price (specifier for /scenario
API is 'highly_dynamic'
) profile is:
The Electricity Emissions Factor profile is:
Extends from Modelica.Icons.Example (Icon for runnable examples).
| Name | Description |
|---|---|
| scalingFactor | Factor to scale up the model area |
| nOccupants | Number of occupants |
| Setpoints | |
| TSetCooUno | Unoccupied cooling setpoint [K] |
| TSetCooOcc | Occupied cooling setpoint [K] |
| TSetHeaUno | Unoccupied heating setpoint [K] |
| TSetHeaOcc | Occupied heating setpoint [K] |


The Catalan opening system is becoming one of the most popular setups for White in tournament play. The Catalan derives its name from Catalonia, after tournament organisers at the 1929 Barcelona tournament asked Savielly Tartakower to create a new variation in homage to the area's chess history. It had been played a few times before Tartakower's usage in the tournament, however: Réti–Leonhardt, Berlin 1928, for instance, transposed into an Open Catalan. The Catalan came to prominence at the top level when both Garry Kasparov and Viktor Korchnoi played it in their Candidates Semifinal match (part of the process to determine who would challenge world champion Anatoly Karpov for the title) in London in 1983: five games of the eleven-game match were Catalans.
Chessboard showing the catalan opening
| A | B | C | D | E | F | G | H | ||
| 8 | 8 | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 7 | 7 | ||||||||
| 6 | 6 | ||||||||
| 5 | 5 | ||||||||
| 4 | 4 | ||||||||
| 3 | 3 | ||||||||
| 2 | 2 | ||||||||
| 1 | 1 | ||||||||
| A | B | C | D | E | F | G | H |


dpkg-genchanges(1) dpkg utilities dpkg-genchanges(1) NAME dpkg-genchanges - generate Debian .changes files SYNOPSIS dpkg-genchanges [option...] DESCRIPTION dpkg-genchanges reads information from an unpacked and built Debian source tree and from the files it has generated and generates a Debian upload control file (.changes file). OPTIONS -b, -B, -A Specifies that a binary-only build is taking place (no source files are to be included). There's no distinction between -b, -B and -A, the produced .changes file will include whatever files were created by the binary-* target(s) of the package being built. -S Specifies that only the source should be uploaded (no binary pack‐ ages will be included). The -sx options control whether the original source archive is included in the upload if any source is being generated (i.e. -b or -B haven't been used). -si By default, or if specified, the original source will be included only if the upstream version number (the version without epoch and without Debian revision) differs from the upstream version number of the previous changelog entry. -sa Forces the inclusion of the original source. -sd Forces the exclusion of the original source and includes only the diff. -vversion Causes changelog information from all versions strictly later than version to be used. -Cchanges-description Read the description of the changes from the file changes-descrip‐ tion rather than using the information from the source tree's changelog file. -mmaintainer-address Use maintainer-address as the name and email address of the main‐ tainer for this package, rather than using the information from the source tree's control file. -emaintainer-address Use maintainer-address as the name and email address of the main‐ tainer for this upload, rather than using the information from the source tree's changelog. -Vname=value Set an output substitution variable. See deb-substvars(5) for a discussion of output substitution. -Tsubstvars-file Read substitution variables in substvars-file; the default is debian/substvars. No variable substitution is done on any of the fields that are output, however the special variable Format will override the field of the same name. This option can be used mul‐ tiple times to read substitution variables from multiple files. -Dfield=value Override or add an output control file field. -Ufield Remove an output control file field. -ccontrolfile Specifies the main source control file to read information from. The default is debian/control. -lchangelog-file Specifies the changelog file to read information from. The default is debian/changelog. -ffiles-list-file Read the list of files to be uploaded here, rather than using debian/files. -Fchangelog-format Specifies the format of the changelog. See dpkg-parsechangelog(1) for information about alternative formats. -uupload-files-dir Look for the files to be uploaded in upload-files-dir rather than .. (dpkg-genchanges needs to find these files so that it can include their sizes and checksums in the .changes file). -q Usually dpkg-genchanges will produce informative messages on stan‐ dard error, for example about how many of the package's source files are being uploaded. -q suppresses these messages. -?, --help Show the usage message and exit. --version Show the version and exit. FILES debian/files The list of generated files which are part of the upload being prepared. dpkg-genchanges reads the data here when producing a .changes file. Debian Project 2012-05-04 dpkg-genchanges(1)


Supported by the following organizations
This is to certify that {{ name }} {% if course_title %} successfully completed and received a passing grade in {{ course_title }} a course of study offered by MITx, an online learning initiative of the Massachusetts Institute of Technology. {% else %} has successfully completed all courses and received passing grades to earn a MicroMasters program certificate in {{ program_title }} a program of study offered by MITx, an online learning initiative of the Massachusetts Institute of Technology. {% endif %}
Noted by
{{ signatory.name }}
{{ signatory.title_line_1 }}
{% if signatory.title_line_2 %}
{{ signatory.title_line_2 }}
{% endif %}
{{ signatory.organization }}
- Verified Certificate Issued {{ certificate.created_on|date:"F j, Y" }}
- Valid Certificate ID {% if course_title %} {{ certificate.hash }} {% else %} {{ certificate.hash }} {% endif %}


Loading Models...
Upload image you want to artify:
First Style to "paint" your image
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---
layout: post
title:
date: '2012-08-26T22:13:00.001-06:00'
author: Jacob .
tags:
modified_time: '2012-08-26T22:13:54.129-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-5890053348007432645
blogger_orig_url: http://www.svlark.com/2012/08/april-listed-some-of-our-stuff-on.html
---
April listed some of our stuff on craigslist and got some inquiries on it right off.
We've been getting into windtraveler today. Brittany and Scott and their new baby, Isla, are living in Tobago for now. We're really interested in how she's making a bit of a living on social media.
Dick Brano is an interesting guy.
And now, Pardey time.


Text generation using (decoder-only) transformer with causal
and linear
attention in TFJS.
download current model
log:


{{define "about.html"}}
{{template "CommonHead"}}GoDoc displays documentation for Go packages on Bitbucket, Github, Launchpad and Google Project Hosting.
The source code for GoDoc is available on Github.
Send your ideas, feature requests and questions to<EMAIL_ADDRESS>Report bugs using the Github Issue Tracker. Join the discussion at the GoDoc group.
We moved to a shorter and easier to remember domain name.
Don't worry about your links to go.pkgdoc.org. The go.pkgdoc.org domain will redirect to godoc.org for the foreseeable future.
The GoDoc bookmarklet navigates from pages on Bitbucket, Github Launchpad and Google Project Hosting to the package documentation. To install the bookmarklet, click and drag the following link to your bookmark bar: GoDoc
GoDoc produces documentation from Go source code. The guidelines for writing documentation for the godoc tool apply to GoDoc.
GoDoc checks for package updates once per hour. You can force GoDoc to refresh the documentation immediately by clicking the ⟲ link at the bottom of the package documentation page.


{% load i18n %}
{% blocktrans with questionnaire_type=questionnaire_type %} This {{ questionnaire_type }} is currently waiting to be published. {% endblocktrans %}
{% blocktrans with questionnaire_type=questionnaire_type %} As a publisher you can edit the {{ questionnaire_type }}. If the {{ questionnaire_type }} is not complete you have to "reject" it and the compiler / editor(s) have to revise it. {% endblocktrans %}
{% blocktrans with questionnaire_type=questionnaire_type %} View this {{ questionnaire_type }}. {% endblocktrans %}
{% blocktrans with questionnaire_type=questionnaire_type %} As a publisher you can publish the {{ questionnaire_type }} once the data is complete. The {{ questionnaire_type }} will be available to public users. {% endblocktrans %}
{% blocktrans with questionnaire_type=questionnaire_type %} As a publisher you can reject the {{ questionnaire_type }} if the data is not complete and the compiler /editor(s) will be notified that they have to revise it. {% endblocktrans %}


Syntax:
acons key datum alist => new-alist
Arguments and Values:
key---an object.
datum---an object.
alist---an association list.
new-alist---an association list.
Description:
Creates a fresh cons, the cdr of which is alist and the car of which is another fresh cons, the car of which is key and the cdr of which is datum.
Examples:
(setq alist '()) => NIL (acons 1 "one" alist) => ((1 . "one")) alist => NIL (setq alist (acons 1 "one" (acons 2 "two" alist))) => ((1 . "one") (2 . "two")) (assoc 1 alist) => (1 . "one") (setq alist (acons 1 "uno" alist)) => ((1 . "uno") (1 . "one") (2 . "two")) (assoc 1 alist) => (1 . "uno")
Side Effects: None.
Affected By: None.
Exceptional Situations: None.
See Also:
Notes:
(acons key datum alist) == (cons (cons key datum) alist)


Software Architecture VO/KU
706.706/706.707 WS17/18
Jan Schlacher<EMAIL_ADDRESS>Docker is a pioneer of the containerization platform. From a 1000 foot perspective it's like a VM but without the OS kernel overhead in your virtual machines.
A container image is a lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings. (Source)
To install the docker daemon go to their website and download the binary for your OS.
Use the images
command to list all your local available images:
$ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
To download an image from the internet, you can either use the pull
command or the run
command. If the image isn't available the run
command will download the image automatically.
$ docker pull postgres
// or
$ docker run postgres
If you need to access a port on your container, you need to map it to your local network via the -p
parameter of the run
command. The format is either -P
to make all ports of the container available and map them to the same port number or -p hostPort:containerPort
.
$ docker run -p 5000:5432 postgres
To start a container in detached mode instead of foreground mode, we use the -d
option.
$ docker run -d -name awesome-db postgres
e6028e5b65ba...
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
e6028e5b65ba 82b06f064259 "docker-entrypoint..." 43 minutes ago Up 44 minutes <IP_ADDRESS>:5432->5432/tcp awesome-db
$ docker stop e
// or
$ docker stop awesome-db
To be able to preserve the container storage you can use docker volumes, that way don't need to care if the container gets deleted. As long as the volume exists, the storage will be saved. That way we can remove the container each time it gets stopped and when we start it again, we just need to map it to the correct volume again.
$ docker volume create awesome-project-db
$ docker run --rm -v awesome-project-db:/var/lib/postgresql/data postgres
To list all your existing volumes use the docker volume ls
command.
Sometimes you end up with a lot of images you might not use anymore. Then you can run the following commands to clean all the images and stopped containers:
$ docker rm $(docker ps -a -q)
$ docker rmi $(docker images --filter dangling=true -q)
The first command will remove all containers and the second command will remove all images that aren't used anymore. Make sure that all of your containers are stopped before typing this commands.


No material may be removed from the Library unless it has been borrowed by and issued to the card of the person removing it.
All material is lent at the discretion of the Hub's Librarian and must be returned to the Library on request, whether overdue or not.
Material may not be transferred from one user to another without being returned to the Library for re-issue.
Each person will be held responsible for the loss of, or damage to, any material borrowed by them from the Library. A sum to cover the full cost of replacement or repair may be payable.


mongodb database library using scalaz-stream
Mongo Streams is a library that allows you to use scalaz-stream with mongo database. Mongo Streams is based on standard mongo java driver and supports all of the java driver functionality.
Mongo Streams can be added to your sbt build. The binary is hosted at Sonatype maven. You can add following to your sbt build:
resolvers ++= Seq("snapshots" at "http://oss.sonatype.org/content/repositories/releases")
libraryDependencies += "com.spinoco" %% "scalaz-stream-mongodb" % "0.1.0"
If you plan to test your Mongo Streams code, maybe Specs2 support will come handy for you:
libraryDependencies += "com.spinoco" %% "scalaz-stream-mongodb-spec" % "0.1.0"
Mongo streams are documented with code examples in this User Guide and eventually on the API.


David Walliams rules out Strictly appearance for six-word reason
The comic struggled to learn a routine to one of rapper MC Hammer's songs for his forthcoming Sky One and Now TV comedy Cinderella: After Ever After, which also stars Sian Gibson
by James Rodger, https://www.facebook.com/jamesrodgerjournalistDavid Walliams has ruled himself out of ever appearing Strictly Come Dancing, saying he is "one of the world's worst dancers".
The Little Britain star, 48, who has previously claimed he wanted to be part of the show's first same-sex couple, said he recently discovered he was "so hopeless" on the dance floor.
The comic struggled to learn a routine to one of rapper MC Hammer's songs for his forthcoming Sky One and Now TV comedy Cinderella: After Ever After, which also stars Sian Gibson.
He said: "I realised I am one of the world's worst dancers.
"I had a choreographer who helped me and she said: 'There are only two people who are worse dancers than you. That's Pierce Brosnan and Colin Firth.'
"That's not bad company actually.
"People always say: 'When are you going to do Strictly?'
"I found out the answer is never. I am so hopeless at dancing. It took me so long to even get to that, which is pretty pathetic."
Walliams hoped the dance would riff on the recent trend of flash mobs, a kind of spontaneous group dance, at weddings.
 It was meant to be a spoof on that.
"But my goodness me. We wrote it in and you go: 'Oh they dance to MC Hammer.'
"It's very easy to write that as a stage direction...
"(But) weeks and months of dance lessons and still no idea how to do it.
"And in those costumes as well... It was quite hot. We were there in June. It was hot."
The hour-long special will explore what happened to the princess following the events of the famous folk tale, memorably retold by Disney.
Cinderella: After Ever After, which also stars Sir Tom Courtenay and Celia Imrie, will air over the Christmas period.


You create a sword-shaped plane of force that hovers within range. It lasts for the duration.
When the sword appears, you make a melee spell attack against a target of your choice within 5 feet of the sword. On a hit. the target takes 3d10 force damage.
decide the visual appearance of these servants and their attire. They are completely obedient to your orders.
Each servant can perform any task a normal human servant could perform, but they can't attack or take any action that would directly harm another creature.
Thus the servants can fetch things, clean, mend, fold clothes, light fires, serve food, pour wine, and so on.
The servants can go anywhere in the mansion but can't leave it. Furnishings and other objects created by this spell dissipate into smoke if removed from the mansion. When the spell ends, any creatures inside the extradimensional space are expelled into the open spaces nearest to the entrance.
Until the spell ends, you can use a bonus action on each of your turns to move the sword up to 20 feet to a spot you can see and repeat this attack against the same target or a different one.


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Table 6.16B. Corporate Profits by Industry bea.gov
# [Corporate profits with inventory valuation and capital consumption adjustments](#Corporate_profits_with_inventory_valuation_and_capital_consumption_adjustments)
```javascript
var Corporate_profits_with_inventory_valuation_and_capital_consumption_adjustments_chart = new Multi_chart([["data.csv",["Corporate_profits_with_inventory_valuation_and_capital_consumption_adjustments"]]],function(data){return data;},"#Corporate_profits_with_inventory_valuation_and_capital_consumption_adjustments","billions");
```
# [Domestic industries](#Domestic_industries)
```javascript
var Domestic_industries_chart = new Multi_chart([["data.csv",["Domestic_industries"]]],function(data){return data;},"#Domestic_industries","billions");
```
# [Financial](#Financial)
```javascript
var Financial_chart = new Multi_chart([["data.csv",["Financial"]]],function(data){return data;},"#Financial","billions");
```
# [Nonfinancial](#Nonfinancial)
```javascript
var Nonfinancial_chart = new Multi_chart([["data.csv",["Nonfinancial"]]],function(data){return data;},"#Nonfinancial","billions");
```
# [Rest of the world](#Rest_of_the_world)
```javascript
var Rest_of_the_world_chart = new Multi_chart([["data.csv",["Rest_of_the_world"]]],function(data){return data;},"#Rest_of_the_world","billions");
```
# [Receipts from the rest of the world](#Receipts_from_the_rest_of_the_world)
```javascript
var Receipts_from_the_rest_of_the_world_chart = new Multi_chart([["data.csv",["Receipts_from_the_rest_of_the_world"]]],function(data){return data;},"#Receipts_from_the_rest_of_the_world","billions");
```
# [Less Payments to the rest of the world](#Less__Payments_to_the_rest_of_the_world)
```javascript
var Less__Payments_to_the_rest_of_the_world_chart = new Multi_chart([["data.csv",["Less__Payments_to_the_rest_of_the_world"]]],function(data){return data;},"#Less__Payments_to_the_rest_of_the_world","billions");
```
# [Corporate profits with inventory valuation adjustment](#Corporate_profits_with_inventory_valuation_adjustment)
```javascript
var Corporate_profits_with_inventory_valuation_adjustment_chart = new Multi_chart([["data.csv",["Corporate_profits_with_inventory_valuation_adjustment"]]],function(data){return data;},"#Corporate_profits_with_inventory_valuation_adjustment","billions");
```
# [Federal Reserve banks](#Federal_Reserve_banks)
```javascript
var Federal_Reserve_banks_chart = new Multi_chart([["data.csv",["Federal_Reserve_banks"]]],function(data){return data;},"#Federal_Reserve_banks","billions");
```
# [Other](#Other)
```javascript
var Other_chart = new Multi_chart([["data.csv",["Other"]]],function(data){return data;},"#Other","billions");
```
# [Manufacturing](#Manufacturing)
```javascript
var Manufacturing_chart = new Multi_chart([["data.csv",["Manufacturing"]]],function(data){return data;},"#Manufacturing","billions");
```
# [Durable goods](#Durable_goods)
```javascript
var Durable_goods_chart = new Multi_chart([["data.csv",["Durable_goods"]]],function(data){return data;},"#Durable_goods","billions");
```
# [Primary metal industries](#Primary_metal_industries)
```javascript
var Primary_metal_industries_chart = new Multi_chart([["data.csv",["Primary_metal_industries"]]],function(data){return data;},"#Primary_metal_industries","billions");
```
# [Fabricated metal products](#Fabricated_metal_products)
```javascript
var Fabricated_metal_products_chart = new Multi_chart([["data.csv",["Fabricated_metal_products"]]],function(data){return data;},"#Fabricated_metal_products","billions");
```
# [Machineryexcept electrical](#Machineryexcept_electrical)
```javascript
var Machineryexcept_electrical_chart = new Multi_chart([["data.csv",["Machineryexcept_electrical"]]],function(data){return data;},"#Machineryexcept_electrical","billions");
```
# [Electric and electronic equipment](#Electric_and_electronic_equipment)
```javascript
var Electric_and_electronic_equipment_chart = new Multi_chart([["data.csv",["Electric_and_electronic_equipment"]]],function(data){return data;},"#Electric_and_electronic_equipment","billions");
```
# [Motor vehicles and equipment](#Motor_vehicles_and_equipment)
```javascript
var Motor_vehicles_and_equipment_chart = new Multi_chart([["data.csv",["Motor_vehicles_and_equipment"]]],function(data){return data;},"#Motor_vehicles_and_equipment","billions");
```
# [Nondurable goods](#Nondurable_goods)
```javascript
var Nondurable_goods_chart = new Multi_chart([["data.csv",["Nondurable_goods"]]],function(data){return data;},"#Nondurable_goods","billions");
```
# [Food and kindred products](#Food_and_kindred_products)
```javascript
var Food_and_kindred_products_chart = new Multi_chart([["data.csv",["Food_and_kindred_products"]]],function(data){return data;},"#Food_and_kindred_products","billions");
```
# [Chemicals and allied products](#Chemicals_and_allied_products)
```javascript
var Chemicals_and_allied_products_chart = new Multi_chart([["data.csv",["Chemicals_and_allied_products"]]],function(data){return data;},"#Chemicals_and_allied_products","billions");
```
# [Petroleum and coal products](#Petroleum_and_coal_products)
```javascript
var Petroleum_and_coal_products_chart = new Multi_chart([["data.csv",["Petroleum_and_coal_products"]]],function(data){return data;},"#Petroleum_and_coal_products","billions");
```
# [Transportation and public utilities](#Transportation_and_public_utilities)
```javascript
var Transportation_and_public_utilities_chart = new Multi_chart([["data.csv",["Transportation_and_public_utilities"]]],function(data){return data;},"#Transportation_and_public_utilities","billions");
```
# [Transportation](#Transportation)
```javascript
var Transportation_chart = new Multi_chart([["data.csv",["Transportation"]]],function(data){return data;},"#Transportation","billions");
```
# [Communication](#Communication)
```javascript
var Communication_chart = new Multi_chart([["data.csv",["Communication"]]],function(data){return data;},"#Communication","billions");
```
# [Electric gas and sanitary services](#Electric_gas_and_sanitary_services)
```javascript
var Electric_gas_and_sanitary_services_chart = new Multi_chart([["data.csv",["Electric_gas_and_sanitary_services"]]],function(data){return data;},"#Electric_gas_and_sanitary_services","billions");
```
# [Wholesale trade](#Wholesale_trade)
```javascript
var Wholesale_trade_chart = new Multi_chart([["data.csv",["Wholesale_trade"]]],function(data){return data;},"#Wholesale_trade","billions");
```
# [Retail trade](#Retail_trade)
```javascript
var Retail_trade_chart = new Multi_chart([["data.csv",["Retail_trade"]]],function(data){return data;},"#Retail_trade","billions");
```
```data
year,Corporate_profits_with_inventory_valuation_and_capital_consumption_adjustments,Domestic_industries,Financial,Nonfinancial,Rest_of_the_world,Receipts_from_the_rest_of_the_world,Less__Payments_to_the_rest_of_the_world,Corporate_profits_with_inventory_valuation_adjustment,Federal_Reserve_banks,Other,Manufacturing,Durable_goods,Primary_metal_industries,Fabricated_metal_products,Machineryexcept_electrical,Electric_and_electronic_equipment,Motor_vehicles_and_equipment,Nondurable_goods,Food_and_kindred_products,Chemicals_and_allied_products,Petroleum_and_coal_products,Transportation_and_public_utilities,Transportation,Communication,Electric_gas_and_sanitary_services,Wholesale_trade,Retail_trade
1948,31.4,33.1,2.7,30.3,1.3,1.7,0.4,34.4,0.2,3.6,18.1,7.8,1.6,0.9,1.3,0.7,1.5,10.2,1.9,1.8,2.8,3.0,1.5,0.4,1.1,2.4,3.3
1949,29.1,30.8,3.3,27.5,1.1,1.6,0.4,31.9,0.2,3.2,16.5,8.3,1.5,0.7,1.3,0.8,2.1,8.3,1.6,1.8,1.9,3.1,1.2,0.5,1.4,1.9,2.8
1950,36.1,37.5,3.3,34.2,1.3,1.8,0.5,38.8,0.2,3.6,21.4,12.3,2.3,1.1,1.7,1.3,3.2,9.1,1.6,2.4,2.3,4.1,1.9,0.8,1.5,2.1,3.0
1951,41.2,42.4,3.7,38.7,1.7,2.2,0.5,44.2,0.3,3.5,25.2,13.5,3.1,1.4,2.4,1.4,2.5,11.6,1.5,2.9,2.8,4.8,1.9,1.1,1.8,2.6,2.6
1952,39.7,40.4,4.4,36.0,1.9,2.3,0.5,42.3,0.3,3.2,22.6,12.3,2.0,1.0,2.4,1.6,2.6,10.3,1.8,2.4,2.4,5.1,1.9,1.2,2.0,2.3,2.7
1953,40.3,40.4,4.8,35.5,1.8,2.3,0.5,42.2,0.4,3.0,23.2,12.7,2.5,1.0,2.0,1.6,2.9,10.5,1.8,2.4,2.8,5.2,1.6,1.5,2.2,1.8,2.3
1954,39.5,38.5,5.1,33.4,2.0,2.4,0.5,40.5,0.3,3.3,21.1,11.2,1.7,1.0,1.8,1.3,2.3,9.9,1.7,2.4,2.8,5.0,1.0,1.6,2.4,1.7,2.3
1955,50.2,47.4,5.3,42.0,2.4,2.9,0.5,49.7,0.3,3.6,27.2,15.0,2.9,1.1,1.8,1.3,4.3,12.2,2.2,3.2,3.1,6.0,1.5,2.0,2.5,2.4,2.9
1956,49.6,47.1,5.7,41.4,2.8,3.4,0.5,49.9,0.5,3.9,26.5,14.0,3.1,1.1,2.2,1.6,2.5,12.5,1.8,3.2,3.3,6.3,1.4,2.2,2.7,2.2,2.6
1957,49.1,46.6,6.0,40.6,3.1,3.6,0.5,49.7,0.6,3.8,25.8,14.4,3.1,1.2,2.1,2.0,2.8,11.4,1.9,3.1,2.7,6.2,1.1,2.4,2.7,2.2,2.6
1958,43.9,42.3,6.5,35.8,2.5,3.1,0.6,44.8,0.6,3.5,21.2,10.4,1.9,1.0,1.5,1.8,1.1,10.8,2.1,2.9,2.3,6.2,0.9,2.6,2.7,2.2,2.6
1959,55.5,53.0,7.6,45.4,2.7,3.4,0.7,55.7,0.7,3.5,28.4,14.8,2.4,1.1,2.2,2.2,3.2,13.5,2.5,3.9,2.7,7.4,1.1,3.1,3.1,2.8,3.3
1960,54.7,50.5,8.4,42.1,3.1,3.8,0.7,53.7,0.9,3.3,25.8,12.9,2.1,0.9,1.9,1.9,3.2,12.9,2.3,3.5,2.7,7.8,0.9,3.3,3.6,2.5,2.8
1961,55.9,50.9,8.3,42.5,3.3,4.0,0.7,54.2,0.8,3.6,25.2,12.5,1.6,1.1,1.9,1.9,2.7,12.7,2.4,3.7,2.4,8.2,1.0,3.5,3.8,2.5,3.0
1962,64.0,55.5,8.6,46.9,3.8,4.5,0.7,59.2,0.9,3.7,28.2,15.2,1.6,1.2,2.4,2.1,4.2,13.0,2.4,3.6,2.3,8.7,1.0,3.8,3.9,2.8,3.4
1963,70.5,60.4,8.3,52.1,4.1,4.9,0.8,64.5,1.0,4.3,31.6,17.6,2.0,1.4,2.6,2.2,5.2,14.0,2.7,4.1,2.3,9.7,1.4,4.2,4.2,2.8,3.6
1964,77.7,66.5,8.8,57.7,4.5,5.4,0.9,71.0,1.1,4.8,34.6,19.3,2.5,1.5,3.4,2.3,4.9,15.3,2.8,4.5,2.5,10.4,1.6,4.2,4.6,3.4,4.5
1965,89.3,77.2,9.3,67.9,4.7,5.8,1.1,81.9,1.3,5.7,42.1,24.7,3.2,2.1,4.1,3.4,6.5,17.4,2.9,5.1,3.0,11.4,2.1,4.7,4.6,3.8,4.9
1966,96.1,83.7,10.7,73.0,4.5,5.7,1.1,88.3,1.7,6.3,45.3,25.9,3.6,2.5,4.7,3.8,5.5,19.5,3.4,5.4,3.5,12.6,2.3,5.4,4.9,4.0,4.9
1967,93.9,81.3,11.2,70.1,4.8,6.0,1.2,86.1,2.0,6.6,42.4,23.4,2.8,2.5,4.4,3.8,4.3,18.9,3.3,4.8,4.0,11.4,1.3,5.2,4.8,4.1,5.7
1968,101.7,88.6,12.9,75.7,5.6,7.0,1.4,94.3,2.5,7.4,45.8,25.2,2.0,2.4,4.4,3.9,5.9,20.6,3.3,5.8,3.9,11.4,0.9,5.6,4.9,4.7,6.4
1969,98.4,84.2,13.6,70.6,6.6,8.0,1.5,90.8,3.1,6.5,41.6,22.2,1.5,2.1,3.9,3.5,5.3,19.4,3.1,5.2,3.6,11.1,0.6,5.9,4.7,4.9,6.4
1970,86.2,72.6,15.5,57.1,7.1,8.7,1.6,79.7,3.5,5.8,32.0,13.5,0.9,1.2,3.4,2.5,1.8,18.5,3.4,4.6,3.9,8.8,-0.3,5.3,3.7,4.6,6.1
1971,100.6,86.8,17.9,69.0,7.9,9.8,1.9,94.7,3.3,6.7,40.0,19.9,1.0,1.6,3.4,3.3,5.9,20.1,3.7,5.2,4.0,9.6,0.6,4.8,4.2,5.4,7.3
1972,117.2,99.7,19.5,80.3,9.5,11.8,2.2,109.3,3.3,7.6,47.6,26.6,1.9,2.4,5.0,4.4,6.9,21.0,3.2,6.0,3.5,10.4,1.5,4.8,4.2,7.2,7.5
1973,133.4,111.7,21.1,90.6,14.9,17.6,2.7,126.6,4.5,9.6,55.0,30.6,2.7,2.9,5.6,5.0,7.4,24.3,2.8,7.1,5.6,10.2,1.3,5.3,3.7,8.8,7.0
1974,125.7,105.8,20.8,85.1,17.5,20.4,2.9,123.3,5.7,10.0,51.0,21.8,5.6,2.1,4.2,2.7,2.2,29.2,3.0,6.5,11.4,9.1,2.0,5.4,1.8,12.2,2.8
1975,138.9,129.6,20.4,109.2,14.6,17.9,3.3,144.2,5.6,11.8,63.0,25.8,3.2,3.5,5.9,4.5,3.3,37.2,8.8,7.7,10.4,11.7,0.5,5.3,5.9,14.3,8.4
1976,174.3,165.6,25.6,140.0,16.5,20.9,4.4,182.1,5.9,15.3,82.5,38.8,2.9,4.3,8.0,6.0,9.1,43.7,7.4,9.9,14.1,17.5,2.8,7.8,6.9,13.7,10.9
1977,205.8,193.7,32.6,161.1,19.1,23.8,4.7,212.8,6.1,19.2,91.5,46.1,1.8,4.9,9.8,8.1,11.4,45.3,7.2,9.4,13.8,21.2,3.3,9.2,8.7,16.4,12.8
1978,238.6,223.8,40.8,183.1,22.9,29.0,6.1,246.7,7.6,22.0,105.8,55.9,4.5,5.5,12.1,9.5,11.7,49.9,6.7,10.2,16.7,25.5,4.2,11.6,9.7,16.7,13.1
1979,249.0,226.4,41.8,184.6,34.6,42.6,7.9,261.0,9.4,25.2,107.1,49.0,4.6,5.8,11.1,8.9,7.3,58.1,6.4,9.5,26.0,21.6,3.9,11.0,6.6,20.0,10.7
1980,223.6,205.2,35.2,169.9,35.5,43.8,8.4,240.6,11.8,24.6,97.6,32.0,3.7,5.0,9.7,9.3,-1.4,65.6,6.7,8.2,36.0,22.2,2.7,10.8,8.7,18.5,7.0
1981,247.5,222.3,30.3,192.0,29.7,38.1,8.4,252.0,14.4,20.1,112.5,33.8,4.2,5.2,11.1,9.9,2.4,78.7,9.7,10.9,41.7,25.1,1.5,12.9,10.7,23.7,10.7
1982,229.9,192.2,27.2,165.0,32.6,36.7,4.1,224.8,15.2,12.3,89.6,19.4,-4.0,3.4,5.3,6.1,2.1,70.2,8.1,8.5,36.8,28.1,-0.5,13.2,15.4,20.7,14.3
1983,279.8,221.4,36.2,185.2,35.1,41.1,6.0,256.4,14.6,12.3,97.3,33.4,-4.4,3.8,5.6,8.1,7.4,63.8,6.9,10.7,25.6,34.3,2.9,14.5,16.9,21.9,19.3
1984,337.9,257.7,34.7,223.0,36.6,46.1,9.5,294.3,16.4,12.1,114.2,54.1,-0.1,5.4,7.6,10.1,11.5,60.1,7.5,11.7,19.4,44.7,5.3,17.7,21.7,30.4,21.5
1985,354.5,251.6,46.5,205.1,38.1,46.8,8.7,289.7,16.3,11.4,107.1,45.6,-0.5,5.6,7.3,7.3,10.2,61.5,9.5,9.9,20.2,39.1,2.2,18.7,18.2,24.6,22.8
1986,324.4,233.8,56.4,177.4,39.5,48.7,9.2,273.3,15.5,14.7,75.6,39.7,0.9,5.5,2.0,7.1,7.1,35.9,7.9,10.0,-4.2,39.3,2.6,22.0,14.7,24.4,23.4
1987,366.0,266.5,60.3,206.2,48.0,58.9,10.9,314.6,16.2,20.3,101.8,51.4,2.2,5.4,6.1,10.5,5.5,50.4,10.9,17.6,-1.4,42.0,1.2,22.0,18.9,18.9,23.3
```


Notes
This example shows how to add notes to a diagram,
using the UmlCanvas API.
This example shows how to add notes to a diagram,
using the UmlCanvas DSL.
+dynamic diagram myDiagram {
[@100,40] Note myNote +text="Hello World" +height="100" +width="100";
[@100,165] Note myOtherNote +text="Hello\nWorld";
}


--- title: How a leftist twitter trend played out author: 'Corey Pembleton' date: '2020-08-06' slug: how-a-leftist-twitter-trend-played-out.en-us categories: ["R", "webscraping"] tags: ["R", "rtweet", "twitter"] keywords: ["r", "twitter-analysis", "r-stats"] ---
A twitter trend took over on August 4-6th wherein people were dropping the convention of not “following back” people back and essentially following every person using the hashtag #nocomradeunder1k.
I decided to pull out the rtweet
package to see how the trend was faring after a day:
library(rtweet)
comrade_df <- search_tweets("#NoComradesUnder1k",
n = 100000,
retryonratelimit = T,
parse = T,
include_rts = F)
I had gained quite a few followers (250 in 5 hours vs 500 over multiple years on another account), and was wondering what that twitter network looked like, where people were using the hashtag, and whether or not I could automate a process to give my new followers a gift of their own network / friends (e.g. people who you follow that follow you back).
The first thing I noticed was that the trend had started noticeably dying off the morning after I saw the trend, which I think is likely due to “follow limits” imposed by twitter which state you can only follow 400 users within a 24hr period.
comrade_df %>%
ts_plot("3 hours") +
ggplot2::theme_minimal() +
ggplot2::theme(plot.title = ggplot2::element_text(face = "bold")) +
ggplot2::labs(
x = NULL, y = NULL,
title = "Frequency of #nocomradesunder1k use",
subtitle = "n = 45,734 tweets, not including RT, last update Aug. 6th 10AM",
caption = "\nSource: Data collected from Twitter's REST API via rtweet"
)
I was wondering how I could draft up a network analysis, and the various igraph packages have always looked promising, but a bit complicated. So I took a simpler approach that Bob Rudis created:
rt_g <- my_RTS %>%
filter(retweet_count > 20) %>%
select(screen_name, mentions_screen_name) %>%
unnest(mentions_screen_name) %>%
filter(!is.na(mentions_screen_name)) %>%
graph_from_data_frame()
V(rt_g)$node_label <- unname(ifelse(degree(rt_g)[V(rt_g)] > 80, names(V(rt_g)), ""))
V(rt_g)$node_size <- unname(ifelse(degree(rt_g)[V(rt_g)] > 60, degree(rt_g), 0))
ggraph(rt_g, layout = 'linear', circular = TRUE) +
geom_edge_arc(edge_width=0.125, aes(alpha=..index..)) +
geom_node_label(aes(label=node_label, size=node_size),
label.size=0, fill="#ffffff66", segment.colour="green",
color="slateblue", repel=T, fontface="bold") +
coord_fixed() +
scale_size_area(trans="sqrt") +
labs(title="Retweet Relationships", subtitle="Most retweeted screen names labeled. Darkers edges == more retweets. Node size == larger degree") +
theme_graph() +
theme(legend.position="none")
I can make a similar graph looking at connections between my RTs and people in my network’s RTs, which is less interesting than what I wanted to do, which is to show full network connections. I’m afraid that may not be possible, or at least not quickly. For now, here is the RT graphic:


spectralProcessing Documentation¶
Common mistakes / Issues¶
Note: When using ‘hann’ windowing, the DC component of the spectrum will not be the same as the mean, due to spectral leakage. Spectral leakage of the DC component does not occur when using boxcar filtering, but does occur when using hann windowing. The total DC power is still the same, but it is spread over multiple bins near zero (~approx 3).
component (mean)
TODO: Add power spectrum plotting for pandas as well as numpy, separate out the two.
-
spectral_processing.
double_to_single
(spectrum, freq=False)¶ Converts a single-sided spectrum into a double-sided spectrum
- Parameters
spectrum – Spectrum to convert from double sided to single-sided.
freq – If the data is stand-alone frequency data that should not be power-corrected
-
spectral_processing.
extract_power
(data, frequency, window='hann', siding='double')¶ Extracts the power of a desired frequency from a power spectral density, accounting for spectral leakage and frequency bin size TODO: NEEDS TO FIT OR KNOW THE PHASE OF THE SINEWAVE OF INTEREST. RIGHT NOW IT FAILS WHEN THE SIGNAL IS NOT A PERFECT COSINE.
- Parameters
data – Time-domain data
frequency – Desired frequency power to extract
window – Window type. Options are “hann” or “boxcar”
siding – Whether the input spectrum is single-sided or double-sided
-
spectral_processing.
generate_window
(n_samples, window='hann')¶
-
spectral_processing.
hann_norm
(n_samples)¶
-
spectral_processing.
power_spectrum
(data, window='hann', siding='single', amplitude=False)¶ Computes the single-or double-sided power spectrum with different types of filetring (hann, boxcar)
- Parameters
data – data to be transformed
window – window type - hann or box
amplitude – Whether to return the power spectrum or the amplitude spectrum
siding – ‘single’ or ‘double’ sided spectrum.
-
spectral_processing.
power_spectrumNumpy
(data, window_data=1, siding='single', amplitude=False)¶ Implementation of powerSpectrum for numpy arrays.
- Parameters
data – Input data (numpy array)
window_data – Raw window data to multiply the data by
siding – single or double (sinusoidal or complex)
amplitude – Whether to return the power spectrum or the amplitude spectrum
- Returns power_spectrum
Power spectrum as a numpy array
-
spectral_processing.
power_spectrum_pandas
(data, window_data=1, siding='single', amplitude=False)¶ Implementation of powerSpectrum for a pandas DataFrame.
- Parameters
window_data – Raw window data to multiply the time-domain data by
amplitude – Whether to return the power spectrum or the amplitude spectrum
siding – single or double (sinusoidal or exponential)
-
spectral_processing.
psd_weights
(data, frequency, window='hann', siding='single', amplitude=False)¶ Computes the PSD weights for an ideal sinewave of a given frequency
- Parameters
frequency – Desired frequency to extract
data – Time-domain data we want the frequency-domain weights of
window – Window type. Options are “hann” or “boxcar”
power – Whether to give magnitude squared (if true) or amplitude (if false)


Nicolas Cage in discussions to star in meta-drama ‘The Unbearable Weight of Massive Talent’
LOS ANGELES, Nov 19 — Nicolas Cage (Bringing Out the Dead, Bad Lieutenant: Port of Call New Orleans, National Treasure: Book of Secrets, Ghost Rider) may play his own role in a film directed by Tom Gormican, announces Hollywood Reporter.
Lionsgate is in the final phase of negotiations to distribute The Unbearable Weight of Massive Talent, written by Tom Gormican and Kevin Etten. If an agreement is reached, Nicolas Cage will soon be acting as himself.
In the plot of the proposed feature, Cage’s character is desperate for a part in the latest Quentin Tarantino film.
At the same time, the actor has to manage a difficult relationship with his teenage daughter.
Straining under the weight of mounting debts, Cage is forced to accept an invitation to appear at the birthday party of a Mexican billionaire, who is a fan of his work.
Shortly after the two men become friends, the CIA inform Cage that his new associate is a member of a drug cartel, which has kidnapped the daughter of a Mexican presidential candidate.
The project is to be produced by Kevin Turen (Euphoria), Mike Nilon and Saturn Films, and Nicolas Cage’s company.
A release date has yet to be set for the film. — AFP-Relaxnews


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Installation:
Installation and setup of the OtterUI Editor is very straight-forward. Simply locate and execute setup.exe in /Editor, and follow the on-screen instructions. Once complete, the OtterUI Editor will be fully installed and ready to be used.
Minimum System Requirements:
- Windows XP, Vista or 7
- Microsoft .NET 3.5
- Latest version of DirectX
- Graphics card with VS 3.0 support
Created with the Personal Edition of HelpNDoc: Free EBook and documentation generator


Company will pay you to watch 24 Hallmark Christmas films in 12 days
by Johari Canty(WSVN) - If you love Hallmark Christmas films, then this may be the perfect job for you.
Century Link is looking for someone who has a passion for Hallmark Christmas films to take on a unique task: watch 24 Hallmark Christmas films over the span of 12 days.
“We’re looking for a lover of all things Christmas, G-Rated romcoms, and too-close-to-home family dramas to watch 24 Hallmark Christmas movies in 12 days,” the job listing reads. “If you think that’s you, we’ll give you $1,000 to critique a lineup of festive guilty pleasures.”
Century Link said the perfect candidate loves Christmas, they must be 18 years old or older, are social media savvy and willing to document their Hallmark marathon with their followers.
Century Link will also give the lucky person a binge-watching package consisting of:
- Streaming service subscription
- Packet of hot cocoa
- Box of Christmas cookies
- String of fairy lights
- Mini Christmas tree
- More Hallmark swag than you could ever need
For more information on the job, click here.


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%= include ../title-inside.html %>
An Angular Service for limit the number of times a function can be called in a given period.
<button class="btn btn-info btn-lg" ng-click="plusOne()">Plus One</button>

.controller('MyCtrl', function($scope, throttle) {
$scope.number = 1;
$scope.plusOne = throttle(function () {
$scope.number += 1;
}, 1000);
})


K. R. Livermore
Welcome to my website
Home
Resume
Portfolio
Instagram
Linkedin
This site is a place for me to implement HTML/CSS/JS that I've learned and display projects. As you can see this site is fairly barren save for the headers and
this paragraph, but I will be adding features little by little. My plans for this
site are as follows:
- Add resume
Add multiple pages
Display buttons along top of webpage that will lead to various pages.
- Stylize buttons
- Have spacing for buttons (possible iFrame fix)
- Implement a background that can be utilized on all pages and that won't clash with
stylized text colors.
- Add back button for internal pages on the top left corner of each page.


Created with LeapTrainer UI v0.03
WARNING:
Your browser does not support WebGL. Rendering quality is limited and gesture trails are disabled.


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- International paymments - 1%Contrary to popular belief, Lorem Ipsum is not simply random text.
- Batch paymentsContrary to popular belief, Lorem Ipsum is not simply random text.
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Why 95th Percentile? If you uncheck that box you'll probably see tall, regular spikes that dwarf the rest of the measurements. These are caused by the browser pausing to do garbage collection. It's good to remember GC halts but they can get in the way of informative graphs.