Pixel UI Kit
Free Bootstrap 5 UI Kit without jQuery that will help you prototype and design beautiful, creative and modern websites
80
Bootstrap 5 elements
5
Example Pages
Workflow
Sass & Gulp
Vanilla
Javascript
Bootstrap 5
Latest version of Bootstrap without jQuery
Pixel is built using the latest version of Bootstrap 5 and we only used Vanilla Javascript for everything including the plugins
Getting startedModular sections Pro
More than 50 website sections
Using the sections in Pixel Pro you can easily build new pages by adding them together
Explore sectionsUser Dashboard Pro
9 dashboard pages
Quickly set up a user settings panel with the advanced dashboard pages including billing, settings, messaging
Explore dashboardAccordions
Alerts
Badges
Cards
Carousels
Breadcrumbs
Buttons
Dropdowns
Forms
Modals
Navs
Pagination
Popovers
Progress bars
Tabs
Toasts
Tooltips
Typography
Tables
5 hand-crafted example pages
Notable features
You get all Bootstrap components fully customized. Besides, you receive numerous plugins out of the box and ready to use
Bootstrap 5
A responsive and mobile-first theme built with the world's most popular CSS framework
Build with Sass
Change one variable and the theme adapts. Colors, fonts, sizes, buttons... you name it
Responsive Design
Did you know 53% of the world web traffic is mobile? Pixel is fully responsive and mobile first
Modular approach
Nicely customized components that can be reused anytime and anywhere in your project
Gulp & BrowserSync
With our custom Gulp commands & BrowserSync we offer a seemless and fast workflow for your project
Well documented
Our kit is delivered with very detailed documentation, describing all components, styles and usages
Google PageSpeed
Pixel has 80+ scores on Google PageSpeed Insights to offer you and your clients a fast website
SVG illustrations
Photography and Illustration SVGs are included in the download package and are free to use
Every pixel matters
We crafted each component with great care so that no rouge pixel is left behind
What's inside?
We have carefully crafted the perfect folder structure to ensure that finding the files you're looking for are easily reachable and well organized.
You need only HTML, CSS and Javascript?
Don't worry, we got you covered. We have a folder called html&css
which includes only the basic HTML5, CSS3 and
Javascript technologies.
- src
-
- assets
- html
- partials
- scss
- index.html
- html&css
- .temp
- dist
- node_modules
- gulpfile.js
- package.json
- README.md
- .gitignore
You need only HTML, CSS and Javascript?
Don't worry, we got you covered. We have a folder called html&css
which includes only the basic HTML5, CSS3 and
Javascript technologies.
WCAG 2.1 accessible color scheme
We've enhanced Bootstrap’s color settings
to comply with the latest accessibility
standards
Primary:
#174F84Secondary:
#10AB7CTertiary:
#FF7F66Info:
#1E90FFWarning:
#F5B759Success:
#00BF9ADanger:
#FA5252Dark:
#2A354FLight:
#DDE1EDSoft:
#EFF2F5Less work, more flow.
Boost productivity with BrowserSync. SCSS changes are reflected instantly and pages scroll and refresh on devices as you work.


`
What to drink: Ti’Punch, a rum cocktail from the French Caribbean.
For dessert: Another specialty from the French Caribbean, a blanc-manger coco — a delicious and refreshing coconut-flavored jelly-like cake.
What to drink: If you can, a pinot noir from Bourgogne. Otherwise an American pinot noir should do the trick.
For dessert:A chocolate mousse.
What to drink: A white or a rosé from Provence.
For dessert: A Beaumes de Venise cake with grapes, named after a little town in the Vaucluse.
What to drink: A blond Belgian ale, or a white wine
For dessert: A clafoutis, traditionally made with cherries but you can switch them for rhubarb.
What to drink:A white wine from Savoie.
For dessert:A baba au rhum, a rum-soaked dessert.
In Brittany, authentic savory crêpes are made with buckwheat flour and filled with anything you can dream of.
What to drink: A dry white wine such as an Alsatian pinot gris.
For dessert: A mirabelle plum and almond frangipane tart.
What to drink: A red wine, something like an Alsacian pinot noir.
For dessert: Profiteroles, cream puffs filled with vanilla ice cream and topped with hot chocolate sauce.
What to drink: A cabernet sauvignon.
For dessert: A gâteau Basque, the most famous and delicious pastry from the French Basque Country.
What to drink: Both red and white wines work well this dish. A red Bordeaux will be nice, but you may also want to try a sweet white wine
For dessert: A French lemon tart to end on a fresh and sweet note.


All Is True
All Is True is a movie starring Kenneth Branagh, Judi Dench, and Ian McKellen. A look at the final days in the life of renowned playwright William Shakespeare.


Dropdown Paragraph
Move the mouse over the paragraph to open the dropdown content.
Hover over me!
Hello World!


Create a div tag in html file with specific id for example Email and write a specific function in javascript file to perform your business logic. An sample example as shown below for Email and Note, the same logic can be followed by all remaining text fields:
HTML file:

Javascript file:
var data ={"Note" : {"message" : "Hi I am Note","placement" : "bottom"},"Email" : {"errmsg" : "The email is required.","placeholder" : "Email","modalVar":"email","errtag":"emailErr","errfunc":"validateemail"}};
$scope.init = function() {
loadTextArea();
}
function loadTextArea() {
var note = $(modelTemplate).filter('#note').html();
var email = $(modelTemplate).filter('#email').html();
var html = Mustache.to_html(email, data.Email);
$('#email').html($compile(html)($scope));
var html = Mustache.to_html(note, {"placement":data.Note.placement});
$('#note').html(html);
$("#noteanchor").popover({
template: ''
});
}


sfa.analysis.perturb module¶
-
sfa.analysis.perturb.
analyze_perturb
(alg, data, targets, b=None, get_trj=False)[source]¶ Perform signal flow analysis under perturbations.
Parameters: - alg : sfa.Algorithm
Algorithm object.
- data : sfa.Data
Data object which has perturbation data.
- targets : list
List of node names, which are the keys of data.n2i.
- b : numpy.ndarray
Basic vector for signaling sources or basal activities.
- get_trj : bool (optional)
Decide to get the trajectory of activity change.
Returns: - act : numpy.ndarray
Change in the activities. It is usually calculated as x2 - x1, where x is the a vector of activities at steady-state.
- F : numpy.ndarray
A matrix of signal flows. It is usually calculated as W2*x1 - W1*x1, where W is weight matrix and x is a vector of activities at steady-state.
- trj : numpy.ndarray (optional)
Trajectory of activity change, which is returned if get_trj is True.


VehicleConfig
public struct VehicleConfig
-
Declaration
Swift
public var wheelType: String? = nil
-
Declaration
Swift
public var sunRoofInstalled: Int = 0
-
Declaration
Swift
public var trimBadging: String = ""
-
Declaration
Swift
public var seatType: Int = 0
-
Declaration
Swift
public var rearSeatType: Int = 0
-
Declaration
Swift
public var roofColor: String? = nil
-
Declaration
Swift
public var perfConfig: String? = nil
-
Declaration
Swift
public var rhd: Bool = false
-
Declaration
Swift
public var spoilerType: String? = nil
-
Declaration
Swift
public var carSpecialType: String? = nil
-
Declaration
Swift
public var hasLudicrousMode: Bool = false
-
Declaration
Swift
public var timestamp: TimeInterval = 0
-
Declaration
Swift
public var plg: Bool = false
-
Declaration
Swift
public var motorizedChargePort: Bool = false
-
Declaration
Swift
public var euVehicle: Bool = false
-
Declaration
Swift
public var rearSeatHeaters: Int = 0
-
Declaration
Swift
public var thirdRowSeats: String? = nil
-
Declaration
Swift
public var canActuateTrunks: Bool = false
-
Declaration
Swift
public var carType: String? = nil
-
Declaration
Swift
public var chargePortType: String? = nil
-
Declaration
Swift
public var exteriorColor: String? = nil
-
Declaration
Swift
public var canAcceptNavigationRequests: Bool = false
-
Declaration
Swift
public init()
-
Undocumented
Declaration
Swift
public mutating func mapping(map: Map)


You can view this because you are authenticated and you have permission. If are not authenticated or you do not have permission, this view should never render.
{{session.access_claims | json }}


Geometric Shapes
This is the first workshop
Calculate the area and perimeter of a square
Type the measure of each side of the square:
Calculate perimeter
Calculate area


Currently we are working with Altium to offer a 'drag & drop' experience with Altium Designer. Until this development work is complete, please use the files in this directory and follow these instructions for importing our Symbols and Footprints into Altium Designer:
http://www.samacsys.com/altium-designer-library-instructions/


ClassificationOutput
Represents the output of a classification head.
Inherits From: ExportOutput
tf.compat.v1.estimator.export.ClassificationOutput
tf.compat.v2.estimator.export.ClassificationOutput
Either classes or scores or both must be set.
The classes Tensor
must provide string labels, not integer class IDs.
If only classes is set, it is interpreted as providing top-k results in descending order.
If only scores is set, it is interpreted as providing a score for every class in order of class ID.
If both classes and scores are set, they are interpreted as zipped, so each score corresponds to the class at the same index. Clients should not depend on the order of the entries.
__init__
__init__( scores=None, classes=None )
Constructor for ClassificationOutput
.
scores
: A float Tensor
giving scores (sometimes but not always
interpretable as probabilities) for each class. May be None
, but
only if classes
is set. Interpretation varies-- see class doc.classes
: A string Tensor
giving predicted class labels. May be None
,
but only if scores
is set. Interpretation varies-- see class doc.ValueError
: if neither classes nor scores is set, or one of them is not a
Tensor
with the correct dtype.classes
scores
as_signature_def
as_signature_def(receiver_tensors)
Generate a SignatureDef proto for inclusion in a MetaGraphDef.
The SignatureDef will specify outputs as described in this ExportOutput, and will use the provided receiver_tensors as inputs.
receiver_tensors
: a Tensor
, or a dict of string to Tensor
, specifying
input nodes that will be fed.


--- layout: post date: 2009-12-11 time: "09:00:00" authors: ["Greg Wilson"] title: Why Opening Up (Probably) Wouldn't Help tags: ["Noticed"] ---
Good post from Steve Easterbrook on why open-sourcing climate models probably wouldn't make a difference.


{% load static from staticfiles %} {% load helpers %}
NetBox is currently in maintenance mode. Functionality may be limited.


Prob 1-13: Please see the console output of the DevTools(F12),
JS is here
Prob 14a: Lab4 - Form1
Prob 14b: Lab4 - Form2
Prob 15: Time


PRINT ART HOLIDAY PACKAGE
Print Art is a prominent printing and graphic design company located in southern New Jersey. Wishing to advertise both their graphic design services and their non-conventional printing capabilities a holiday package was designed to be shipped for the Christmas season. The piece included an series of illustrated characters and perforated props in which the recipient could extract and pose with. The photos were then uploaded to social media outlets to help spread both holiday cheer and the awareness of Print Art.


The settings of the menus "Projection",
"Symbol' and "Colour"
have been saved in fabric.ini,and may now
be changed.
The menu "Diagram“ contains options to
save the plot (within the rectangular frame) as a bitmap, and options
to combine the shown plot with a plot produced with another Fabric8
program. The options 'Plot with a printer', 'Plot into a HPGL file', and 'Plot into a DXF file' produce a vector plot.
These options open a panel (on the right side) in which the plot
parameters can be set. These parametres are saved in Fabric.ini. Further options concern the 'colour of the periphery', the 'colour of the diagram', the 'colour of the frame', and the 'colour of the background'.
The option 'Printer' prints the plot as a
bitmap.


Create case
Defendant:
DefendantRep:
Plaintiff:
PlaintiffRep:
Discipline:
Juristiction:
Value:
Case Handler:
Contact Person:
Go Back


[% extends 'pages/templates/boxPage.html' %] [% region contents %] Something went wrong! Don't panic. [% end region %]


Type ShapeType is used to define the shape of the visual object as parameter String. Usually, "shapeType" is used as instance name. The following values for shapeType are possible, e.g., shapeType="box":
The dark blue arrows in the figure above are directed along variable lengthDirection. The light blue arrows are directed along variable widthDirection. The coordinate systems in the figure represent frame_a of the Shape component.
Additionally, external shapes can be specified as (not all options might be supported by all tools):
The supported file formats are tool dependent. Most tools support at least DXF-files (a tool might support 3-dim. Face of the DXF format only), but may support other format as well (such as stl, obj, 3ds). Since visualization files contain color and other data, the corresponding information in the model is usually ignored.
type ShapeType = Modelica.Icons.TypeString;


File specifications
Encoding: UTF-8
MIME type: text/vtt
Line terminator: \r, \n or \r\n
Format specifications
# File header
WEBVTT FILE
[cue]
...
# Cue format
[one or more characters not containing the substring "-->" or \r, \n, \r\n]Example:
[hh...:]mm:ss.msmsms --> [hh...:]mm:ss.msmsms [settings]
First line
Second line
...

Cues have to be separated by one (or more) blank line.
# Cue settings
Settings have to placed right after the timing, on the same line, separated with one (or more) space or tabulation.| Vertical text |
|
| Line position |
|
| Text position | T:[a number]%, where [a number] is a positive integer. |
| Text size | S:[a number]%, where [a number] is a positive integer. |
| Text alignment | A:start or A:middle or A:end |
Cue setting example:
WEBVTT FILE
1
01:23:45.678 --> 01:23:46.789 D:vertical
Hello world!
2
01:23:48.910 --> 01:23:49.101 S:50%
Hello
world!
# Cue text
Replacements
- & has to be replaced with &
- < has to be replaced with <
- > has to be replaced with >
Voice declaration tags
- <v.Name>
01:23:45.678 --> 01:23:46.789
- <v.John>Hey!</v>
- <v.Jane>Hey!</v>
Text tags
- Class: <c.classname>Your text</c>
- Bold: Your text
- Italic: Your text
- Underline: Your text
- Ruby annotations: <ruby>base text<rt>annotation</rt></ruby>
Example:
01:23:45.678 --> 01:23:46.789
One... <01:23:45.800>Two... <01:23:46.500>Three...


Using TracMan.du's excellent instructions, I made a tincture without naphtha over many days of soaking, filtering, drying and dissolving. I freed up an entire day to be outdoors, in nature preserves, to get acquainted with MG seeds. I walked to the furthest nature preserve, and took 1/3 of the tincture at 9:45 a.m. An hour later I couldn't stop admiring plants and insects for their purity and beauty. I also couldn't walk very fast or very steadily. I took the rest of the tincture at 10:45 a.m., and felt slightly nauseous, but not badly so. Plants and animals continued to delight.
Around noon, another person arrived at the preserve so I slowly walked to my next destination, the town cemetery. There was a small grove of memorial trees as I approached...and behind it were numerous fungi, many possibly Amanitas. I plucked one and put it in my knapsack for later identification. The creek and tree line were lush with flora, and mosquitos. The stagnant pond was teeming with frogs. I was feeling very slowed-down, and continued my walk to the next nature preserve, which was also an arboretum.
The arboretum was loaded with mosquitos, whose bites bothered me less as time passed. I admired the fish in the creek, and sat down at the end of the footbridge and jotted down a quick note before I continued. '1 p.m. Intense pure natural. On bridge in arb. Beautiful creatures all.'
I found a sunny meadow on the east side of the arboretum which was lush with a stunning variety of plants and insects. I spent the next 4-5 hours in this part of the arboretum, slowly walking around, entranced by the beauty of the plants and insects and sunlight. I had the arboretum to myself most of the time, which was good, because I did not feel like talking, and maybe couldn't talk very well. I was in a state of wordless adoration of the natural world, mesmerized by the living creatures around me. The life force of the plants gave off a soft, wholesome glow. The insects were living jewels. A wildflower field was almost overwhelming in its beauty.
The spot I gravitated to and stood for long periods coincidentally had Morning Glory vines growing out onto the footpath. Bees were gathering pollen and nectar from clover on each side of the path. I felt my own body energy becoming very pleasurable and calm. I found that putting my palms together in front of me with my arms close to my body increased the comfortable feeling, so I wandered about in bliss, with a mudra of prayer, although I was not praying as prayer is commonly regarded.
Around 5:30 p.m. I decided to leave this paradise and return home, to rest. A couple blocks from home I noted that the shrubs by a fast food parking lot contained a Morning Glory vine. At 6 p.m. I wrote: 'Back home. Sitting and resting. Have yet to come down. Much seen, will write later.'
The next day I was back up to speed. I will never forget those hours in paradise. 'All things bright and beautiful, all creatures great and small'! That hymnist would have enjoyed the MG experience, I think...For the record, for what it's worth, I'm a Born-Again Vegan. Plant energy rules!
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.


God bless thee; and put meekness in thy mind, love, charity, obedience, and true duty! William Shakespeare


A list of named column sets. These allow the same analytics to be computed using different settings and viewed side by side at the same time
There are no columns set up at the moment add a column


Money Play. How should Red play 22?
pips Red=107 White=79
(CorrectAnswer= 0/0, ErrorScore= 0)
Red will have difficulty executing a blitz because of White’s strong home board. He must also be careful about the number of shots he leaves as an early hit by White could cost Red a gammon.
Making the 2-pt is the wrong strategy as it leaves too many immediate shots and it commits Red to an attacking game plan.
The alternative plan is to build a prime and hope White’s board cracks. !3/7 is clear and then the 2 should be played 12/10, creating new a builder for the 5-pt while only leaving a single shot (55) for White. Even 13/11, 13/7 (leaving two shots) is an error.
The key here is to select the right strategy and then attempt to execute it.
Making the 2-pt is the wrong strategy as it leaves too many immediate shots and it commits Red to an attacking game plan.
The alternative plan is to build a prime and hope White’s board cracks. !3/7 is clear and then the 2 should be played 12/10, creating new a builder for the 5-pt while only leaving a single shot (55) for White. Even 13/11, 13/7 (leaving two shots) is an error.
The key here is to select the right strategy and then attempt to execute it.
1. Cubeful 2-ply 13/7 12/10 Eq.: +0.219 0.539 0.020 0.001 - 0.461 0.062 0.001 2. Cubeful 2-ply 13/7 13/11 Eq.: +0.184 (-0.035) 0.528 0.021 0.001 - 0.472 0.073 0.001 3. Cubeful 2-ply 14/12 13/7 Eq.: +0.138 (-0.081) 0.496 0.018 0.001 - 0.504 0.041 0.000 4. Cubeful 2-ply 13/9(2) Eq.: +0.094 (-0.126) 0.502 0.021 0.001 - 0.498 0.101 0.001 5. Cubeful 2-ply 12/10 6/2 4/2 Eq.: +0.093 (-0.126) 0.507 0.023 0.000 - 0.493 0.115 0.001


This demo demonstrates how to add a tag in first position or update/remove the tag in first position in Tag Cloud Custom Element.
Add Item
Delete First Item
Update First Item


Newcastle United evening headlines with Schar role in Xhaka link, Lascelles update and Villa injuries
All the latest Newcastle United news from Thursday, November 14
by Stuart JamiesonNewcastle United continue to be linked with a move for Arsenal's Grant Xhaka, with his Swiss team-mate Fabian Schar rumoured to be a key influence.
Elsewhere, the Magpies confirmed the extent of skipper's Jamaal Lascelles' injury, while United's next opponents Aston Villa have injury problems of their own.
Here are your top Newcastle United stories for November 14:
Schar's 'role' over Xhaka
Newcastle have been linked with a move for Arsenal's Grant Xhaka this January - and there are claims his Swiss team-mate Fabian Schar could play a role in any deal.
While the United defender hasn't linked up with his country due to a knee injury, the Telehgraph report that he has a close relationship with the Arsenal midfielder, and could be used in a bid to lure him to Tyneside.
Aston Villa facing keeper problems
Newcastle go to Aston Villa on Monday, November 25 for their first Premier League fixture after the international break.
But the hosts are set to be without their first and second-choice goalkeepers.
No 1 Tom Heaton had to pull out of the England squad with an injury while Jed Steer was forced off in their 2-1 defeat to Wolves.
Louis Saha on Newcastle loan deal
Former Premier League winner Louis Saha has revealed he feels more allegiance to Newcastle than he does towards Sunderland - despite featuring for both clubs during his career.
Saha joined Newcastle on a half-season loan deal in 1999 from French side Metz and was part of the side that reached the FA Cup final. He scored one goal in 11 games before he returned to France.
“I had a better experience at Newcastle,” said Saha.
“I didn’t play at Sunderland – I didn’t like what happened to me in terms of chances I had there.”
Lascelles injury confirmed
Newcastle skipper Jamaal Lascelles will be out of action until 2020 after Newcastle United confirmed the extent of his injury.
Lee Ryder brought you the news of his injury on Tuesday, with the club confirming details today.


From what you can see of the available information on the dataset, are there enough clues to make an educated guess about what the dataset contains OR its purpose?
Based on the category definitions, please pick the top 5 (most specific) categories that best describe this dataset in order of most relevant (1) to least relevant (5).
Whenever appropriate, select the more specific category (eg- classical epidemiology) over the more specific category (eg- epidemiology)


The receiver should be configured before starting the NTP daemon, in order to establish reliable position and operating conditions. It does not initiate surveying or hold mode. For use with NTP, the daylight savings time feature should be disables (D0 command) and the broadcast mode set to operate in UTC (BU command).
The timecode format supported by this driver is selected by the poll sequence B5, which initiates a line in the following format to be repeated once per second until turned off by the B0 command.
Format B5 (24 ASCII printing characters):
<cr><lf>i yy ddd hh:mm:ss.000bbb on-time = <cr> i = synchronization flag (' ' = locked, '?' = unlocked) yy = year of century ddd = day of year hh:mm:ss = hours, minutes, seconds .000 = fraction of second (not used) bbb = tailing spaces for fillThe alarm condition is indicated by a '?' at i, which indicates the receiver is not synchronized. In normal operation, a line consisting of the timecode followed by the time quality character (TQ) followed by the receiver status string (SR) is written to the clockstats file.
The time quality character is encoded in IEEE P1344 standard:
Format TQ (IEEE P1344 estimated worst-case time quality)
0 clock locked, maximum accuracy F clock failure, time not reliable 4 clock unlocked, accuracy < 1 us 5 clock unlocked, accuracy < 10 us 6 clock unlocked, accuracy < 100 us 7 clock unlocked, accuracy < 1 ms 8 clock unlocked, accuracy < 10 ms 9 clock unlocked, accuracy < 100 ms A clock unlocked, accuracy < 1 s B clock unlocked, accuracy < 10 sThe status string is encoded as follows:
Format SR (25 ASCII printing characters)
V=vv S=ss T=t P=pdop E=ee vv = satellites visible ss = relative signal strength t = satellites tracked pdop = position dilution of precision (meters) ee = hardware errorsA three-stage median filter is used to reduce jitter and provide a dispersion measure. The driver makes no attempt to correct for the intrinsic jitter of the radio itself.


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|
IKSDL
1.1
C++ wrapper for SDL 2 library
|
Represents an event related to mouse buttons. More...
#include <MouseButtonEvent.hpp>
Public Types | |
| enum class | State { Pressed , Released } |
| Mouse button state. More... | |
Public Member Functions | |
| IKSDL_EXPORT | MouseButtonEvent (const SDL_MouseButtonEvent &sdlEvent) |
| Constructor from SDL mouse button event. More... | |
| virtual void | play (EventHandler &handler) const |
| Make the given handler execute the action related to the mouse button event. More... | |
| IKSDL_EXPORT Mouse::Button | getButton () const |
| Get the mouse button that the event is about. More... | |
| IKSDL_EXPORT State | getButtonState () const |
| Get the mouse button state. More... | |
| IKSDL_EXPORT uint8_t | getClicksCount () const |
| Get the number of clicks on the button. More... | |
| IKSDL_EXPORT const Positioni & | getMousePosition () const |
| Get the mouse position when the event occurred. More... | |
| Public Member Functions inherited from iksdl::AbstractEvent | |
| virtual | ~AbstractEvent () |
| Destructor. More... | |
Additional Inherited Members | |
| Static Protected Attributes inherited from iksdl::AbstractEvent | |
| static constexpr std::string_view | UNKNOWN_EVENT_TYPE = "Unknown event type" |
Represents an event related to mouse buttons.
|
strong |
Mouse button state.
| Enumerator | |
|---|---|
| Pressed | |
| Released |
|
explicit |
Constructor from SDL mouse button event.
| sdlEvent | SDL mouse button event |
|
inline |
Get the mouse button that the event is about.
|
inline |
Get the mouse button state.
|
inline |
Get the number of clicks on the button.
|
inline |
Get the mouse position when the event occurred.
|
inlinevirtual |
Make the given handler execute the action related to the mouse button event.
| handler | Event handler that will be asked to consume the mouse button event |
Implements iksdl::AbstractEvent.


You have found the image gallery, it may or may not contain NSFW content.
{{.Title}}
Mr Jeffrey A Jenner,
R&D Dept. Ameoto Systems Inc.
# ST Link V2 Upgrade
Intro
ST put out a video ages ago showing some mods to their low cost debugger. They added some LEDs and a 5V output, not very useful. Here's some tips for turning your ST Link into a general purpose ARM debugger while still maintaining the original looks and function of the device.
To get the new functionality, we need to flash the debugger itself with new firmware. An open source project called Black Magic Probe exists which gives us a choice between SWD or JTAG, no need to install drivers(BMP is a standard serial device!), painless build and reload workflow on linux and optionally UART.
Prerequisites
- ST Link V2 debugger
- Another ST Link or a discovery board
- Soldering iron and enameled wire
- A working ARM GCC install
- Various other linux command line tools that are unavailable on your distro or fail to build just for you
Building
Luckily the BMP firmware has few dependencies and the ones it has are submodules with the make file doing all the work (´ ・ω・` )
git clone git@github.com:blacksphere/blackmagic.git
cd blackmagic
git submodule init
git submodule update
make
cd src
make clean
make PROBE_HOST=stlink
You shouldn't get any warnings or errors and have two new files: blackmagic.bin and blackmagic_dfu.bin
ST Link V2 SWD header
You'll want to solder a header to CN1 on your target debugger, the pin out is provided below.
Fig 2 - CN1 Header
Now connect the two debuggers together.
Flashing
To flash we need to use either the official ST tool or a combination of texane stlink util to do a full erase and OpenOCD to unlock the flash region. Neither of these tools will be used after flashing is complete.
openocd -f interface/stlink-v2.cfg -f target/stm32f1x_stlink.cfg -c "init" -c "halt" -c "stm32f1x unlock 0" -c "shutdown"
st-flash erase
st-flash --reset write blackmagic.bin 0x8002000
st-flash write blackmagic_dfu.bin 0x8000000
If any of the flashing steps fails, remember we don't have a NRST signal so you'll need to manually reset the device.
If all went well you can now connect the debugger via USB and you'll see two new devices under /dev/. The first is the debug target itself, the second is a serial port we can use to communicate with the target.
Fig 3 - Debug Header
The debugger pin out remains the same as the original however the bottom row except pin 2 are connected to ground. Next we'll make 6 and 4 actually function as UART ( ´_ゝ`)
Adding UART
Take a knife to the back of the PCB, cutting the connection from the ground plane to pins 6 and 4.
Fig 4 - UART
Run two wires from U1 pin 12 and 13 to 6 and 4 respectively.
Fig 5 - Don't burn your fingers
Try not to forget this is a direct CPU connection so RS232 will almost certainly not work.
Congratulations you now have a self contained debugger and serial port that will work with a heap of different ARM platforms.
References
- https://github.com/blacksphere/blackmagic/wiki
- https://wiki.paparazziuav.org/wiki/STLink
- http://www.st.com/resource/en/datasheet/stm32f405og.pdf
- http://www.st.com/resource/en/datasheet/stm32f103tb.pdf
# SOHO Network
Outline
So in preparation for moving into our new office/house I've been tasked with designing and implementing a network that can function as both a secure business LAN and a private end point for users.
The biggest challenge was finding a way to securely deal with multiple networks and services while keeping costs minimal and avoiding purchasing additional equipment. We could have easily gone with customer supplied gateways into a concentrator as local ISP's allow multiple PPPoE logins over a single link. But since we have HFC available I wanted to try a more elegant solution.
Requirements
Besides basic Internet connectivity here is a list of services customers might require:
- Telephony
- Wireless, Guest WiFi
- Secure separation of business resources from personal networks
- High speed inside-out access for services, aka loop-back
The decision to go with HFC means telephony must travel over IP or there is no cost savings to using cable. This means we must also become the telco for land-line services. VoIP has several advantages to using POTS, namely significant savings in line rental(As of writing this article the cost per line for direct PSTN access is 4 times the cost of using a remote trunking service), however it is at the expense of increased management and creating a single point of failure.
Care must also be taken to ensure the arrangement meets and exceeds the users demands and expectations of the service and to not encumber access to any functionality otherwise available.
Implementation
Fig 1 - Topkek Topology
Above shows the pseudo layout at the L2 level. Separation is handled via VLAN's naturally, wireless separation is done through DD-WRT bridges, see: VLAN Detached Networks. Phones are locked to ports and ignore broadcast, a change of MAC on one of these ports will immediately disable it until the original device is restored, as a further measure SNMP trap events are sent the moment one of these ports are down. A 'General' port is used between the router and switch to prevent iSCSI traffic (several Gbps) from flooding the router. Only Virtual Machines assigned with an appropriate virtual adapter have access to private networks, VLAN tagging is done by the hypervisor and not by the VM's.
As far as hardware is concerned, the backbone of the network consists of a Dell PowerConnect 5524 with battery backup, this Layer 2 switch handles most of the security enforcement. For routing we have a Juniper SRX210HE, this is in charge of providing the zone based firewall, NAT, DHCPv4, SLAAC, 6in4 tunneling and sFlow for monitoring.
An out of band switch connects IPMI, SNMP and various management interfaces together and can only be accessed physically from the rack or by administrators over VPN.
Layer 3
VLAN100 is confined to the Guest zone, it has an independent firewall and security policies from the main public network, this interface is rate limited to prevent DoS and penetration attempts from Guest to Trust via the internal data plane. Customer VLANs are a mirror image of this.
VLAN1 and 2, which is part of the Trust zone consists of a IPv4 inbound services policy and respective NAT, IPv6 uses a per server policy set. Inter-VLAN routing is provided for 1<->2 access on a case by case basis through the firewall:
from-zone untrust to-zone trust {
policy trust-services {
match {
source-address any-ipv4;
destination-address any-ipv4;
application [ junos-http junos-https junos-sip junos-ping softether junos-ssh ];
}
then {
permit;
}
}
policy icmp-v6 {
match {
source-address any-ipv6;
destination-address any-ipv6;
application junos-icmp6-all;
}
then {
permit;
}
}
policy trust-services-2001_470_24_869_1 {
match {
source-address any-ipv6;
destination-address Vincent;
application [ junos-http junos-ssh ];
}
then {
permit;
}
}
}
VLAN3 carries only VoIP traffic.
Lastly the usual barrage of DoS and brute force attacks from the Internet are dealt with using a screening filter. RPF is enabled on all interfaces with an exception for DHCPv4 broadcasts.
Telephony
A PBX server running FreePBX is used for routing VoIP, everything is SIP end to end until it reaches the PSTN, CoS means little to no latency and no dropped calls, I've tested this extensively on ADSL2+ and even on a problematic line voice is clear and reliable.
Customers are provided with DID(s) at a monthly rate with call excess added on, free voicemail is also available. In the next few weeks I'll write a script to pull CDR from FreePBX and automatically generate invoices, but since there will only be two users initially this is low priority. I'm also considering switching to sipXecs, but it is less supported and will need to be tested extensively.
CoS/QoS
All WAN bound traffic is classified by a rule set, based on the originating zone and type of traffic we can assign packets to an appropriate queue on the egress interface. The switch also prioritizes VLAN3's traffic to insure large LAN transactions like those created by SMB do not affect voice quality.
Remote Access and Authentication
VPN is provided using SoftEther VPN Server, the built in access lists can be assigned to RADIUS accounts allowing the single server instance to provide access to all or some networks.
We use RADIUS where possible for unified sign on, this is managed by the local Active Directory server which of course machines must join before they can access anything interesting.
Conclusion
¯\_(ツ)_/¯
Fig 2 - Me as a sysadmin
Besides software configuration we're also moving to a much larger rack (18U -> 40U) and as such need to re-cable everything. It will be nice to have room for cable management and a rack thats properly setup to handle it.
In time I will write some tutorials on JunOS and other network technologies as I'm still learning myself.
# Perfect Iced Coffee
Makes 2 Liters.
Ingredients
- Instant Coffee 60 cm3
- White Sugar 120 cm3
- Water (+85 +100° C) 500 mL
- Water (-20 +4° C) 500 mL
- Milk (+4° C) 1 L
Method
Mix coffee, sugar and hot water together until sugar grains saturate. Recommended baking time is 60-90 seconds at +85° C.
Extreme care should be taken to insure water does not exceed +100° C or it will become highly volatile when exposed to contaminants.
Add chilled or ice water and mix completely, refrigerated further if temperature exceeds +4° C. Finally add Milk and mix completely.


Arsenal FC |
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Arsenal Football Club is a professional football club based in Islington, London, England, that plays in the Premier League , the top flight of English football. The club has won 13 League titles, a record 13 FA Cups, two League Cups, the League Centenary Trophy, 15 FA Community Shields, one UEFA Cup Winners' Cup and one Inter-Cities Fairs Cup, and is also the only English club to go a 38-match league season unbeaten, receiving the nickname The Invincibles, and a special gold Premier League trophy Arsenal was the first club from the South of England to join The Football League , in 1893, and they reached the First Division in 1904. Relegated only once, in 1913, they continue the longest streak in the top division and have won the second-most top-flight matches in English football history. In the 1930s, Arsenal won five League Championships and two FA Cups, and another FA Cup and two Championships after the war. In 1970–71, they won their first League and FA Cup Double . Between 1989 and 2005, they won five League titles and five FA Cups, including two more Doubles. They completed the 20th century with the highest average league position. |
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Herbert Chapman won Arsenal's first national trophies, but died prematurely. He helped introduce the WM formation, floodlights, and shirt numbers and added the white sleeves and brighter red to Arsenal's kit. Arsène Wenger has been the longest-serving manager and has won the most trophies. He has won a record 7 FA Cups, and his teams set English records for the longest win streak and longest unbeaten run.
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The Club |
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Emirates Stadium
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Arsene Wenger
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Stan Kroenke
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In 2000 Arsenal proposed building a new 60,361-capacity stadium at Ashburton Grove, since named the Emirates Stadium, about 500 metres south-west of Highbury. The project was initially delayed by red tape and rising costs and construction was completed in July 2006, in time for the start of the 2006–07 season.The stadium was named after its sponsors, the airline company Emirates, with whom the club signed the largest sponsorship deal in English football history, worth around £100 million |
Manager Arsène Wenger, appointed in 1996. New, attacking football, an overhaul of dietary and fitness practices and efficiency with money have defined his reign. Accumulating key players from Wenger's homeland, such as Patrick Vieira and Thierry Henry, Arsenal won a second League and Cup double in 1997–98 and a third in 2001–02. In addition, the club reached the final of the 1999–2000 UEFA Cup, were victorious in the 2003 and 2005 FA Cups, and won the Premier League in 2003–04 without losing a single match, an achievement which earned the side the nickname "The Invincibles".This latter feat came within a run of 49 league matches unbeaten from 7 May 2003 to 24 October 2004, a national record |
The largest shareholder on the Arsenal board is American sports tycoon Stan Kroenke. Kroenke first launched a bid for the club in April 2007 and faced competition for shares from Red and White Securities, which acquired its first shares off David Dein in August 2007. Kroenke came close to the 30% takeover threshold in November 2009, when he increased his holding to 18,594 shares (29.9%).In April 2011, Kroenke achieved a full takeover by purchasing the shareholdings of Nina Bracewell-Smith and Danny Fiszman, taking his shareholding to 62.89%. As of May 2017, Kroenke owns 41,721 shares (67.05%) and Red & White Securities own 18,695 shares (30.04%) |


Recurrings
No Recurring
| Name | Amount | Type | Remark | Last Run Date | Created Date | Actions |
|---|---|---|---|---|---|---|
| {{recurring.name}} | {{recurring.amount | safeCurrency : $root.user.currency}} | {{recurring.recurringTypeDisplay}} | {{recurring.remark | na | truncate:true:50 }} | {{recurring.lastRunAt | datetime}} | {{recurring.createdAt | date}} |


[§229-4] Maintaining sister-state relationships. The Hawaii sister-state committee shall periodically evaluate established sister-state relationships and forward its recommendations on maintaining sister-state relationships to the governor and to the legislature. [L 2006, c 150, pt of §2]


This is an example page used to demonstrate how to load a local file or HTML string using the Flutter webview plugin.


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From the video Understanding Developers" with Patrick Chanezon, Technical Staff Member at Docker
From the video Understanding Developers" with Patrick Chanezon, Technical Staff Member at Docker
Docker and the concept of containerization in general
In computing, virtualization refers to the act of creating a virtual (rather than actual) version of something, including (but not limited to) a virtual computer hardware platform, operating system (OS), storage device, or computer network resources.
Virtualization from Wikipedia, the free encyclopediaWe’re thrilled to announce Docker 1.8 with support for image signing, a new installer, as well as incremental improvements to Engine, Compose, Swarm, Machine and Registry.
From ANNOUNCING DOCKER 1.8: CONTENT TRUST, TOOLBOX, AND UPDATES TO REGISTRY AND ORCHESTRATIONextends
to share configurations between applications and override portions where needed
...
...
docker run
Adaptive applications move from a cloud provider to another with ease
docker-compose.yml
)Reference: Overview of Docker Compose
Reference: Overview of Docker Compose
Dockerfile
'sdocker-compose.yml
docker-compose up
Reference: Overview of Docker Compose
Shared (parent) configuration common.yml
web:
build: .
ports:
- "80:8000"
# ...any extra configuration...
Development configuration docker-compose.yml
web:
extends:
file: common.yml
service: web
volumes:
- .:/code
links:
- db
environment:
- DATABASE_URL=postgres://db:5432
db:
image: postgres
docker-compose up
Production configuration prod.yml
web:
extends:
file: common.yml
service: web
environment:
- DATABASE_URL=postgres://production-db.example.com:12345
docker-compose -f prod.yml up
zookeeper:
image: wurstmeister/zookeeper
ports:
- "2181"
kafka:
build: .
ports:
- "9092"
links:
- zookeeper:zk
environment:
KAFKA_ADVERTISED_HOST_NAME: <IP_ADDRESS>
volumes:
- /var/run/docker.sock:/var/run/docker.sock
Dockerfile
and docker build
as you would on Linux
docker push
is not supported
Imagine running a hybrid Linux/Windows application using Visual Studio tooling on a Mac, ultimately deploying the app to Microsoft Azure, into Linux and Windows virtual machines.
Such a demo was given at the DockerCon conference by Microsoft Azure CTO Mark Russinovich
The complete list of articles and blog posts I was learning Docker from to prepare this slide deck is at my account at Deli.cio.us under tag "docker".
There are few pins at docker at Pinterest, too.
Videos are at my "docker" playlist at YouTube.
- Visit Jacek Laskowski's blog
- Follow @jaceklaskowski at twitter
- Use Jacek's projects at GitHub


--- layout: post title: leftovers lunch date: 2010-03-17 17:38:05.000000000 -04:00 type: post published: true status: publish categories: - savory - vegan - vegetarian tags: - bento lunch - bok choy - shiitake mushrooms - stir fry - vegan meta: _oembed_3c43f84e1da5a19e3ec6a6861f9a096b: author: login: sophie email<EMAIL_ADDRESS>display_name: Pika first_name: '' last_name: '' ---
bok choy and shiitake mushroom stir fry with sweet and spicy fried tofu from the asian food market and brown rice.


Simply inserting the <ol-map> element will be sufficient to have a map in a page. By default, a nice map will be rendered. Note that width/height will default to 100%, and have been reduced here.


Today we will learn why Eminem is the greatest raper alive and why all should listen to him and praise him.


Memex Automation Inc., Suite 200 - 3425 Harvester Rd, Burlington, Ontario Canada L7N 2G1 Phone:<PHONE_NUMBER> Fax:<PHONE_NUMBER>
www.memex.ca
Determination of Fanuc 0 Model Types
To determine the version of the Fanuc 0 series CNC Control, check the master board number and/or the software version. The Master board number is found on the top left side of the main circuit board, usually mounted in the control cabinet that has the daughter card attached. It should not be confused with “A02B-????-????” numbers, which are Fanuc’s ordering numbers and are usually found on a sticker above the master board. Use the following table to determine which unit you have. You can determine the software version by powering-up the control with E-stop active (button depressed). The control should hang on the software version screen (in the lower right corner of this screen, you will see the servo version number as well). As far as difficulty with installation, the process requires the following basic procedures:
1. Back-up everything (using a computer and following Memex kit instructions); 2. Write down NC system parameters, PMC parameters (in the Diagnostics area) and options; 3. Power off and install the Memex memory components in the designated empty sockets; 4. Power up holding RESET & DELETE keys to re-initialize and erases all memory; 5. Use special procedures to reload data in the proper sequence (as per kit instructi ons); 6. Verify operation of the machine, and you are done!
1985 / 1986 Fanuc 0-MA and Fanuc 0-TA 120M maximum battery backed resident memory. 1987 / 1989 Fanuc 0-MB and Fanuc 0-TB 320M maximum battery backed resident memory. 1990 / 1998 Fanuc 0- MC and Fanuc 0-TC 320M maximum battery backed resident memory.
FANUC 0-A Masterboards; A16B-1010-0150 (Analog) Max. 120 Meters (48K) A16B-1010-0210 (Digital) (Software Ver 400, 402, etc)
A16B-1010-0240 (0-Mate) FANUC 0-B Masterboards; A16B-1010-0280 (3/4 Axis) Max. 320 Meters (128K) A16B-1010-0281 (2 Axis) (Software Ver 415, 815, etc) A16B-1010-0285 (3/4 Axis) A16B-1010-0288 (2 Axis) FANUC 0-C Masterboards; A20B-2000-0179 (32Bit Version) Max. 320 Meters (128K) A20B-2000-0180 (32Bit Version) (Software Ver 460, 462, 465 A20B-1002-0360 or 0380 (16 Bit Ver) 660,662,690,665,880,135, etc) A20B-1003-0750 (16Bit Version)
File: /ISO9000/Docs/F100051D – MAI Determination of Fanuc 0 Model Types.doc


SUBROUTINE ZGEEV( JOBVL, JOBVR, N, A, LDA, W, VL, LDVL, VR, LDVR, $ WORK, LWORK, RWORK, INFO ) * * -- LAPACK driver routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. CHARACTER JOBVL, JOBVR INTEGER INFO, LDA, LDVL, LDVR, LWORK, N * .. * .. Array Arguments .. DOUBLE PRECISION RWORK( * ) COMPLEX*16 A( LDA, * ), VL( LDVL, * ), VR( LDVR, * ), $ W( * ), WORK( * ) * .. * * Purpose * ======= * * ZGEEV computes for an N-by-N complex nonsymmetric matrix A, the * eigenvalues and, optionally, the left and/or right eigenvectors. * * The right eigenvector v(j) of A satisfies * A * v(j) = lambda(j) * v(j) * where lambda(j) is its eigenvalue. * The left eigenvector u(j) of A satisfies * u(j)**H * A = lambda(j) * u(j)**H * where u(j)**H denotes the conjugate transpose of u(j). * * The computed eigenvectors are normalized to have Euclidean norm * equal to 1 and largest component real. * * Arguments * ========= * * JOBVL (input) CHARACTER*1 * = 'N': left eigenvectors of A are not computed; * = 'V': left eigenvectors of are computed. * * JOBVR (input) CHARACTER*1 * = 'N': right eigenvectors of A are not computed; * = 'V': right eigenvectors of A are computed. * * N (input) INTEGER * The order of the matrix A. N >= 0. * * A (input/output) COMPLEX*16 array, dimension (LDA,N) * On entry, the N-by-N matrix A. * On exit, A has been overwritten. * * LDA (input) INTEGER * The leading dimension of the array A. LDA >= max(1,N). * * W (output) COMPLEX*16 array, dimension (N) * W contains the computed eigenvalues. * * VL (output) COMPLEX*16 array, dimension (LDVL,N) * If JOBVL = 'V', the left eigenvectors u(j) are stored one * after another in the columns of VL, in the same order * as their eigenvalues. * If JOBVL = 'N', VL is not referenced. * u(j) = VL(:,j), the j-th column of VL. * * LDVL (input) INTEGER * The leading dimension of the array VL. LDVL >= 1; if * JOBVL = 'V', LDVL >= N. * * VR (output) COMPLEX*16 array, dimension (LDVR,N) * If JOBVR = 'V', the right eigenvectors v(j) are stored one * after another in the columns of VR, in the same order * as their eigenvalues. * If JOBVR = 'N', VR is not referenced. * v(j) = VR(:,j), the j-th column of VR. * * LDVR (input) INTEGER * The leading dimension of the array VR. LDVR >= 1; if * JOBVR = 'V', LDVR >= N. * * WORK (workspace/output) COMPLEX*16 array, dimension (MAX(1,LWORK)) * On exit, if INFO = 0, WORK(1) returns the optimal LWORK. * * LWORK (input) INTEGER * The dimension of the array WORK. LWORK >= max(1,2*N). * For good performance, LWORK must generally be larger. * * If LWORK = -1, then a workspace query is assumed; the routine * only calculates the optimal size of the WORK array, returns * this value as the first entry of the WORK array, and no error * message related to LWORK is issued by XERBLA. * * RWORK (workspace) DOUBLE PRECISION array, dimension (2*N) * * INFO (output) INTEGER * = 0: successful exit * < 0: if INFO = -i, the i-th argument had an illegal value. * > 0: if INFO = i, the QR algorithm failed to compute all the * eigenvalues, and no eigenvectors have been computed; * elements and i+1:N of W contain eigenvalues which have * converged. * * ===================================================================== * * .. Parameters .. DOUBLE PRECISION ZERO, ONE PARAMETER ( ZERO = 0.0D0, ONE = 1.0D0 ) * .. * .. Local Scalars .. LOGICAL LQUERY, SCALEA, WANTVL, WANTVR CHARACTER SIDE INTEGER HSWORK, I, IBAL, IERR, IHI, ILO, IRWORK, ITAU, $ IWRK, K, MAXWRK, MINWRK, NOUT DOUBLE PRECISION ANRM, BIGNUM, CSCALE, EPS, SCL, SMLNUM COMPLEX*16 TMP * .. * .. Local Arrays .. LOGICAL SELECT( 1 ) DOUBLE PRECISION DUM( 1 ) * .. * .. External Subroutines .. EXTERNAL DLABAD, XERBLA, ZDSCAL, ZGEBAK, ZGEBAL, ZGEHRD, $ ZHSEQR, ZLACPY, ZLASCL, ZSCAL, ZTREVC, ZUNGHR * .. * .. External Functions .. LOGICAL LSAME INTEGER IDAMAX, ILAENV DOUBLE PRECISION DLAMCH, DZNRM2, ZLANGE EXTERNAL LSAME, IDAMAX, ILAENV, DLAMCH, DZNRM2, ZLANGE * .. * .. Intrinsic Functions .. INTRINSIC DBLE, DCMPLX, DCONJG, DIMAG, MAX, SQRT * .. * .. Executable Statements .. * * Test the input arguments * INFO = 0 LQUERY = ( LWORK.EQ.-1 ) WANTVL = LSAME( JOBVL, 'V' ) WANTVR = LSAME( JOBVR, 'V' ) IF( ( .NOT.WANTVL ) .AND. ( .NOT.LSAME( JOBVL, 'N' ) ) ) THEN INFO = -1 ELSE IF( ( .NOT.WANTVR ) .AND. ( .NOT.LSAME( JOBVR, 'N' ) ) ) THEN INFO = -2 ELSE IF( N.LT.0 ) THEN INFO = -3 ELSE IF( LDA.LT.MAX( 1, N ) ) THEN INFO = -5 ELSE IF( LDVL.LT.1 .OR. ( WANTVL .AND. LDVL.LT.N ) ) THEN INFO = -8 ELSE IF( LDVR.LT.1 .OR. ( WANTVR .AND. LDVR.LT.N ) ) THEN INFO = -10 END IF * * Compute workspace * (Note: Comments in the code beginning "Workspace:" describe the * minimal amount of workspace needed at that point in the code, * as well as the preferred amount for good performance. * CWorkspace refers to complex workspace, and RWorkspace to real * workspace. NB refers to the optimal block size for the * immediately following subroutine, as returned by ILAENV. * HSWORK refers to the workspace preferred by ZHSEQR, as * calculated below. HSWORK is computed assuming ILO=1 and IHI=N, * the worst case.) * IF( INFO.EQ.0 ) THEN IF( N.EQ.0 ) THEN MINWRK = 1 MAXWRK = 1 ELSE MAXWRK = N + N*ILAENV( 1, 'ZGEHRD', ' ', N, 1, N, 0 ) MINWRK = 2*N IF( WANTVL ) THEN MAXWRK = MAX( MAXWRK, N + ( N - 1 )*ILAENV( 1, 'ZUNGHR', $ ' ', N, 1, N, -1 ) ) CALL ZHSEQR( 'S', 'V', N, 1, N, A, LDA, W, VL, LDVL, $ WORK, -1, INFO ) ELSE IF( WANTVR ) THEN MAXWRK = MAX( MAXWRK, N + ( N - 1 )*ILAENV( 1, 'ZUNGHR', $ ' ', N, 1, N, -1 ) ) CALL ZHSEQR( 'S', 'V', N, 1, N, A, LDA, W, VR, LDVR, $ WORK, -1, INFO ) ELSE CALL ZHSEQR( 'E', 'N', N, 1, N, A, LDA, W, VR, LDVR, $ WORK, -1, INFO ) END IF HSWORK = WORK( 1 ) MAXWRK = MAX( MAXWRK, HSWORK, MINWRK ) END IF WORK( 1 ) = MAXWRK * IF( LWORK.LT.MINWRK .AND. .NOT.LQUERY ) THEN INFO = -12 END IF END IF * IF( INFO.NE.0 ) THEN CALL XERBLA( 'ZGEEV ', -INFO ) RETURN ELSE IF( LQUERY ) THEN RETURN END IF * * Quick return if possible * IF( N.EQ.0 ) $ RETURN * * Get machine constants * EPS = DLAMCH( 'P' ) SMLNUM = DLAMCH( 'S' ) BIGNUM = ONE / SMLNUM CALL DLABAD( SMLNUM, BIGNUM ) SMLNUM = SQRT( SMLNUM ) / EPS BIGNUM = ONE / SMLNUM * * Scale A if max element outside range [SMLNUM,BIGNUM] * ANRM = ZLANGE( 'M', N, N, A, LDA, DUM ) SCALEA = .FALSE. IF( ANRM.GT.ZERO .AND. ANRM.LT.SMLNUM ) THEN SCALEA = .TRUE. CSCALE = SMLNUM ELSE IF( ANRM.GT.BIGNUM ) THEN SCALEA = .TRUE. CSCALE = BIGNUM END IF IF( SCALEA ) $ CALL ZLASCL( 'G', 0, 0, ANRM, CSCALE, N, N, A, LDA, IERR ) * * Balance the matrix * (CWorkspace: none) * (RWorkspace: need N) * IBAL = 1 CALL ZGEBAL( 'B', N, A, LDA, ILO, IHI, RWORK( IBAL ), IERR ) * * Reduce to upper Hessenberg form * (CWorkspace: need 2*N, prefer N+N*NB) * (RWorkspace: none) * ITAU = 1 IWRK = ITAU + N CALL ZGEHRD( N, ILO, IHI, A, LDA, WORK( ITAU ), WORK( IWRK ), $ LWORK-IWRK+1, IERR ) * IF( WANTVL ) THEN * * Want left eigenvectors * Copy Householder vectors to VL * SIDE = 'L' CALL ZLACPY( 'L', N, N, A, LDA, VL, LDVL ) * * Generate unitary matrix in VL * (CWorkspace: need 2*N-1, prefer N+(N-1)*NB) * (RWorkspace: none) * CALL ZUNGHR( N, ILO, IHI, VL, LDVL, WORK( ITAU ), WORK( IWRK ), $ LWORK-IWRK+1, IERR ) * * Perform QR iteration, accumulating Schur vectors in VL * (CWorkspace: need 1, prefer HSWORK (see comments) ) * (RWorkspace: none) * IWRK = ITAU CALL ZHSEQR( 'S', 'V', N, ILO, IHI, A, LDA, W, VL, LDVL, $ WORK( IWRK ), LWORK-IWRK+1, INFO ) * IF( WANTVR ) THEN * * Want left and right eigenvectors * Copy Schur vectors to VR * SIDE = 'B' CALL ZLACPY( 'F', N, N, VL, LDVL, VR, LDVR ) END IF * ELSE IF( WANTVR ) THEN * * Want right eigenvectors * Copy Householder vectors to VR * SIDE = 'R' CALL ZLACPY( 'L', N, N, A, LDA, VR, LDVR ) * * Generate unitary matrix in VR * (CWorkspace: need 2*N-1, prefer N+(N-1)*NB) * (RWorkspace: none) * CALL ZUNGHR( N, ILO, IHI, VR, LDVR, WORK( ITAU ), WORK( IWRK ), $ LWORK-IWRK+1, IERR ) * * Perform QR iteration, accumulating Schur vectors in VR * (CWorkspace: need 1, prefer HSWORK (see comments) ) * (RWorkspace: none) * IWRK = ITAU CALL ZHSEQR( 'S', 'V', N, ILO, IHI, A, LDA, W, VR, LDVR, $ WORK( IWRK ), LWORK-IWRK+1, INFO ) * ELSE * * Compute eigenvalues only * (CWorkspace: need 1, prefer HSWORK (see comments) ) * (RWorkspace: none) * IWRK = ITAU CALL ZHSEQR( 'E', 'N', N, ILO, IHI, A, LDA, W, VR, LDVR, $ WORK( IWRK ), LWORK-IWRK+1, INFO ) END IF * * If INFO > 0 from ZHSEQR, then quit * IF( INFO.GT.0 ) $ GO TO 50 * IF( WANTVL .OR. WANTVR ) THEN * * Compute left and/or right eigenvectors * (CWorkspace: need 2*N) * (RWorkspace: need 2*N) * IRWORK = IBAL + N CALL ZTREVC( SIDE, 'B', SELECT, N, A, LDA, VL, LDVL, VR, LDVR, $ N, NOUT, WORK( IWRK ), RWORK( IRWORK ), IERR ) END IF * IF( WANTVL ) THEN * * Undo balancing of left eigenvectors * (CWorkspace: none) * (RWorkspace: need N) * CALL ZGEBAK( 'B', 'L', N, ILO, IHI, RWORK( IBAL ), N, VL, LDVL, $ IERR ) * * Normalize left eigenvectors and make largest component real * DO 20 I = 1, N SCL = ONE / DZNRM2( N, VL( 1, I ), 1 ) CALL ZDSCAL( N, SCL, VL( 1, I ), 1 ) DO 10 K = 1, N RWORK( IRWORK+K-1 ) = DBLE( VL( K, I ) )**2 + $ DIMAG( VL( K, I ) )**2 10 CONTINUE K = IDAMAX( N, RWORK( IRWORK ), 1 ) TMP = DCONJG( VL( K, I ) ) / SQRT( RWORK( IRWORK+K-1 ) ) CALL ZSCAL( N, TMP, VL( 1, I ), 1 ) VL( K, I ) = DCMPLX( DBLE( VL( K, I ) ), ZERO ) 20 CONTINUE END IF * IF( WANTVR ) THEN * * Undo balancing of right eigenvectors * (CWorkspace: none) * (RWorkspace: need N) * CALL ZGEBAK( 'B', 'R', N, ILO, IHI, RWORK( IBAL ), N, VR, LDVR, $ IERR ) * * Normalize right eigenvectors and make largest component real * DO 40 I = 1, N SCL = ONE / DZNRM2( N, VR( 1, I ), 1 ) CALL ZDSCAL( N, SCL, VR( 1, I ), 1 ) DO 30 K = 1, N RWORK( IRWORK+K-1 ) = DBLE( VR( K, I ) )**2 + $ DIMAG( VR( K, I ) )**2 30 CONTINUE K = IDAMAX( N, RWORK( IRWORK ), 1 ) TMP = DCONJG( VR( K, I ) ) / SQRT( RWORK( IRWORK+K-1 ) ) CALL ZSCAL( N, TMP, VR( 1, I ), 1 ) VR( K, I ) = DCMPLX( DBLE( VR( K, I ) ), ZERO ) 40 CONTINUE END IF * * Undo scaling if necessary * 50 CONTINUE IF( SCALEA ) THEN CALL ZLASCL( 'G', 0, 0, CSCALE, ANRM, N-INFO, 1, W( INFO+1 ), $ MAX( N-INFO, 1 ), IERR ) IF( INFO.GT.0 ) THEN CALL ZLASCL( 'G', 0, 0, CSCALE, ANRM, ILO-1, 1, W, N, IERR ) END IF END IF * WORK( 1 ) = MAXWRK RETURN * * End of ZGEEV * END


MiniMiser is a simple personal finance management and tracking program. It is open source... blah, blah, blah...


Successfully organize and analyze a database of 4,000 past projects in order to uncover any hidden trends.
Date: June 2019
The Power of Plots
Pyber / Pymaceuticals
Build a Bubble Plot that showcases the relationship between four key variables: Average Fare ($) Per City, Total Number of Rides Per City, Total Number of Drivers Per City, City Type (Urban, Suburban, Rural)
Creating a scatter plot that shows how the tumor volume changes over time for each treatment.
Creating a scatter plot that shows how the number of metastatic (cancer spreading) sites changes over time for each treatment.
Creating a scatter plot that shows the number of mice still alive through the course of treatment (Survival Rate).
Creating a bar graph that compares the total % tumor volume change for each drug across the full 45 days.
Date: July 2019
SQL queries on Employee Database
A series of SQL queries on the employee database to obtain information.
Create an image file of your ERD.
Create a .sql file of your table schemata.
Create a .sql file of your queries.
Date: August 2019
JavaScript and DOM Manipulation
Use d3.js to attach events to DOM elements.
Create a basic HTML web page
Using the UFO dataset provided in the form of an array of JavaScript objects, write code that appends a table to the web page and then adds new rows of data for each UFO sighting.
Use a date form in the HTML document and write JavaScript code that will listen for events and search through the date/time column to find rows that match user input.
Date: September 2019
Visualizing Data with Leaflet
Create a map using Leaflet that plots the earthquakes data set based on their longitude and latitude.
The data markers effectively reflect the magnitude of the earthquake in their size and color. Earthquakes with higher magnitudes should appear larger and darker in color, and include popups that provide additional information
about the earthquake when a marker is clicked..
Date: October 2019
Citi Bike Analytics
Aim to aggregate the data found in the Citi Bike Trip History Logs and find several unexpected phenomena.
Aim to aggregate the data found in the Citi Bike Trip History Logs and find several unexpected phenomena.
Date: Oct 2019
Olympic_2020
Predict medal counts for the 2020 Summer Olympics using Machine Learning methods.
Final Prediction
Our machine learning model predicts the United States to take home the most medals at the 2020 Olympic Games with 110. They are followed in the top 10 by Russia, China, Germany, Great Britain, France, Australia, Italy,
Japan, and South Korea. Of the nearly 200 countries to participate, we predict 74 will win at least one medal.
Date: November 2019
Fertility Rate
This visualization project explored the trend of fertility rates by different countries in the last more than 50 years.
Use Plotly's layout object to customize the appearance of the charts. This visualization project include a Python Flask–powered RESTful API, HTML/CSS, JavaScript, and at least one database (SQL, MongoDB, SQLite, etc.).
Date: October 2019
NHL_ETL
Data Cleanup & Analysis.
Extract: the original data sources and how the data was formatted (CSV, JSON, pgAdmin 4, etc).
Transform: what data cleaning or transformation was required.
Load: the final database, tables/collections, and why this was chosen.
Date: September 2019
Mission to Mars
Website with Mission Mars data obtained with a web scrapping script of the NASA Mars News Site.
Flask web application that scrapes various websites for data related to the Mars Mission and displays the information in a single HTML page.
Date: July 2019
Belly Button Biodiversity
Interactive dashboard to explore belly button biodiversity by sample in the dataset.
Use Plotly.js to build interactive charts for your dashboard.
Create a PIE chart that uses data from your samples route (/samples/
) to display the top 10 samples.
Create a Bubble Chart that uses data from your samples route (/samples/
) to display each sample.
Display the sample metadata from the route /metadata/
Date: October 2019
Weather Analysis
Web Visualization Dashboard of weather in 500+ cities at different latitudes relative to the equator line.
The visualizations show temperature, humidity, cloudiness, and wind speed using HTML5, CSS3, and Bootstrap4.


| # | Tags | Category | SubCategory | Name | Description | Link |
|---|---|---|---|---|---|---|
| 1 | schools | Free Software |
Adobe |
Adobe Connect conferencing | Adobe Connect conferencing | |
| 2 | Improve this | Free Software |
Cisco |
Cisco WebEx free | Media Composer | Ultimate, Pro Tools, Pro Tools | Ultimate and Sibelius | Ultimate | |
| 3 | Improve this | Free Software |
Avid |
Media Composer and others |
Cisco WebEx free: Unlimited usage (no time restrictions), supports up to 100 participants, offers toll dial-in (in addition to existing VoIP capabilities). |
|
| 4 | Improve this | Free Software |
Cloudflare |
Cloudflare | Null | |
| 5 | Improve this | Free Software |
Discord |
Go Live | Go Live to 50 people |


Ths is a paragraph. The ragraph is centered in the window and only takes up 80% of the space with an even margin. The text is gray and bolded. THere is a little soace between this paragraph and te next one.
Ths is a paragraph. The ragraph is centered in the window and only takes up 80% of the space with an even margin. The text is gray and bolded. THere is a little soace between this paragraph and te next one.
Link Some text after the link


| ymd {lubridate} | R Documentation |
Transforms dates stored in character and numeric vectors to Date or POSIXct
objects (see tz
argument). These functions recognize arbitrary
non-digit separators as well as no separator. As long as the order of
formats is correct, these functions will parse dates correctly even when the
input vectors contain differently formatted dates. See examples.
ymd( ..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"), truncated = 0 ) ydm( ..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"), truncated = 0 ) mdy( ..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"), truncated = 0 ) myd( ..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"), truncated = 0 ) dmy( ..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"), truncated = 0 ) dym( ..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"), truncated = 0 ) yq(..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME")) ym(..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME")) my(..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"))
... |
a character or numeric vector of suspected dates |
quiet |
logical. If |
tz |
Time zone indicator. If |
locale |
locale to be used, see locales. On Linux systems you
can use |
truncated |
integer. Number of formats that can be truncated. |
In case of heterogeneous date formats, the ymd()
family guesses formats based
on a subset of the input vector. If the input vector contains many missing
values or non-date strings, the subset might not contain meaningful dates
and the date-time format won't be guessed resulting in
All formats failed to parse
error. In such cases please see
parse_date_time()
for a more flexible parsing interface.
If the truncated
parameter is non-zero, the ymd()
functions also check for
truncated formats. For example, ymd()
with truncated = 2
will also
parse incomplete dates like 2012-06
and 2012
.
NOTE: The ymd()
family of functions is based on parse_date_time()
and thus
directly drop to the internal C parser for numeric months, but uses
base::strptime()
for alphabetic months. This implies that some of base::strptime()
's
limitations are inherited by lubridate's parser. For example, truncated
formats (like %Y-%b
) will not be parsed. Numeric truncated formats (like
%Y-%m
) are handled correctly by lubridate's C parser.
As of version 1.3.0, lubridate's parse functions no longer return a
message that displays which format they used to parse their input. You can
change this by setting the lubridate.verbose
option to TRUE
with
options(lubridate.verbose = TRUE)
.
a vector of class POSIXct if tz
argument is non-NULL
or Date if tz
is NULL
(default)
parse_date_time()
for an even more flexible low level
mechanism.
x <- c("09-01-01", "09-01-02", "09-01-03") ymd(x) x <- c("2009-01-01", "2009-01-02", "2009-01-03") ymd(x) ymd(090101, 90102) now() > ymd(20090101) ## TRUE dmy(010210) mdy(010210) yq('2014.2') ## heterogeneous formats in a single vector: x <- c(20090101, "2009-01-02", "2009 01 03", "2009-1-4", "2009-1, 5", "Created on 2009 1 6", "200901 !!! 07") ymd(x) ## What lubridate might not handle: ## Extremely weird cases when one of the separators is "" and some of the ## formats are not in double digits might not be parsed correctly: ## Not run: ymd("201002-01", "201002-1", "20102-1") dmy("0312-2010", "312-2010") ## End(Not run)


Nyzo version 508 (commit on GitHub) begins to apply block-score penalties based on performance scores.
This version affects primarily the verifier, but its message-replay protection also improves the sentinel.
In the chainScore() method of the Block class, the dormant penalty that was once applied to inactive nodes is now applied to nodes that the cycle agrees have unacceptable performance. The penalty is only applied to blocks with a score of 0. This avoids problems that would otherwise be caused by two consecutive verifiers with unacceptable performance.
In the BlockManager class, the sets for cycle and near-cycle lookups have been changed to concurrent versions to improve thread safety, and a field has been added to track the last height at which a verifier was removed from the cycle.
The lastVerifierRemovalHeight field is set in the updateVerifiersInCurrentCycle method. The update is convenient here, because a simple comparison of the previous and new cycle lengths is sufficient for detecting a dropped verifier.
In the MeshListener class, a protection has been added against replay attacks. All messages are timestamped, and the timestamp is part of the signature. However, the timestamps were not being checked, and this would allow attackers to save and replay messages in ways that could cause a number of undesirable behaviors. This issue was reported by a member of the community and is subject to a bounty. This fix was initially planned for a later release, but replay attacks could be used to undermine the verifier-removal process, so this fix was promoted to this build to improve the integrity of the new process.
Also in the MeshListener class, logic has been added to handle two new messages necessary for the removal process. VerifierRemovalVote39 allows the in-cycle verifiers to reach a pre-consensus about which verifiers to remove, and VerifierRemovalTallyStatusRequest420 allows the person who controls a verifier to see the tally of verifier-removal votes. This process is similar to the new-verifier pre-consensus process, but it allows votes for multiple verifiers simultaneously.
In the Message class, replay protection has also been added for responses to outgoing messages.
Various minor cleanups were performed on the NewVerifierVoteManager class. The vote map has been changed to a concurrent map to improve thread safety, and all method synchronization has been removed, as it is no longer necessary. The acceptAllVotes conditions, useful in some early testing scripts, have also been removed.
In the Verifier class, the sleep time after an iteration in which a block has not been frozen has been reduced from 1.0 seconds to 0.3 seconds. This has a negligible effect on CPU usage, but it does improve the average interval between blocks by a small amount, which will help the cycle produce blocks quickly enough to keep up with the open edge.
Cleanup processes for the verifier-removal and new-verifier vote maps have been added. The new-verifier cleanup process was inadvertently omitted from previous versions, and implementation of the verifier-removal process caused us to notice its absence.
When a block is frozen, after performance scores are updated, removal votes are sent based on the performance scores. Also, the tally of removal votes received from other verifiers in the cycle is updated.
In the VerifierPerformanceManager class, perVoteDecrement has been changed from -6 to -5. This changes the level at which a verifier can maintain a stable score from 50% to 60% of votes. This, does not change the maximum amount of time that a verifier can stay in the cycle while unresponsive, and it does not change the maximum credit that a verifier can receive for good performance. It only raises the baseline long-term performance requirement. This was changed because, based on observations of scores produced in 506, the 3-to-6 ratio appeared insufficient for removing verifiers whose performance negatively impacted the cycle.
The filename for storing scores has been changed. This will reset scores for all verifiers while retaining the old scores for reference. This ensures that no verifiers are penalized for their performance before this build was released. The constant and map are both used by the method that sends removal votes to other verifiers in the cycle.
The getVerifiersOverThresold() method produces a list of all verifiers whose performance scores warrant a removal vote. The list is limited to the maximum list size allowed by the VerifierRemovalVote message, with verifiers with the least-worst performance scores being dropped from the list if necessary.
The sendVotes() method uses a timestamp-based technique to send removal votes to the entire cycle at a controlled rate. Each time a block is frozen, a number of votes (10, according to the messagesPerIteration constant) are sent to other verifiers in the cycle. The timestamp map ensures, roughly, that each verifier receives the same number of votes over time and that those votes are spaced rather evenly. This method also ensures that removal messages do not add additional bursts of message activity to the verifier.
The VerifierRemovalManager class functions like the other vote-tally managers (BlockVoteManager, NewVerifierVoteManager), with the one variation being the allowance that a single verifier may vote for several verifiers for removal. If any verifier receives removal votes from more than half the cycle, that verifier may be removed from the cycle. Multiple verifiers may be eligible for removal at once, but the rate of removal is controlled to ensure that the cycle does not decrease in size too quickly.
The last removal height has been added to the status response so that any issues in its calculation can be spotted promptly.
The VerifierRemovalVote object is used to communicate verifier performance issues among in-cycle verifiers. A protection has been included to ensure that no verifier votes for another verifier more than once.
The VerifierRemovalTallyStatusResponse provides insight into the vote-removal tally on a verifier. This is a debug request, so it must be self-signed. It is similar to NewVerifierTallyStatusResponse.
To reduce code duplication, NewVerifierTallyStatusRequestScript has been modified to use the ScriptUtil.fetchMultilineStatus() method. Also, VerifierRemovalTallyStatusRequestScript has been added with the same template.
For finding the message-replay issue, a total of ∩150,000 will be awarded to e50a...1aec. This bounty is especially large due to the number of current and potential future attacks that could be executed easily by replay of messages. The transactions will be posted here after they are confirmed.


101 DALMATIANS
A film review by Michael Dequina
Copyright 1996 Michael Dequina
01 Dalmatians (G) ** 1/2 (out of ****)
Part vamp, part tramp, and all camp, Glenn Close's wonderfully wicked turn as the ultimate Disney diva, Cruella DeVil, powers 101 Dalmatians, the studio's new live-action version of its beloved 1961 animated feature. Problem is, unless you are age 10 or under, there is little else to hold your attention for the entire 98 minutes.
Producer-screenwriter John Hughes and director Stephen Herek's take on the tale of the fur-loving DeVil, the spotted puppies from whose coats she wants to make herself a coat, and the married owners (Jeff Daniels and Joely Richardson) of the dalmatian parents Pongo and Perdy is actually quite faithful to the original animated feature. Viewers familiar with that version will be pleased with how well some scenes survived the cartoon-to-live-action translation, such as Perdy's stressful delivery of her 15 puppies and the apparent stillbirth and ultimate revival of the pup Lucky. While the dogs and other animals do not talk this time around, the communication between the animals does come through and is easily understood. The "twilight bark," where Pongo barks into the night sky to summon other animals to search for his and Perdy's stolen puppies, still makes for a striking scene without the spoken exposition that frames it. And Close's Cruella matches her animated counterpart's nastiness and then some; her hilariously over-the-top turn is sure to influence drag queens everywhere.
Hughes and Herek's failure, however, lies in their incessant indulgence in broad slapstick, which comes off as labored and not especially funny. The scene where Daniels's Roger and Richardson's Anita first meet in the park is cheapened by too many pratfalls and dives into water. Also, the puppies' big escape from their barn prison has been needlessly punched up by Home Alone-type slapstick involving the two dognappers, Jasper (Hugh Laurie) and Horace (Mark Williams). Herek not only tries evoke that fluke Macaulay Culkin phenomenon through the cartoony violence, but also through the duo's appearance--Jasper sports a beard and curly hair a la Daniel Stern's bumbling burglar, and Horace is a shorter, heavier fellow wearing a hat not unlike Joe Pesci. Worst of all, the slapstick gives Close the short end of the stick, for in the end Cruella's campy edge takes a back seat to the physical punishment she takes from the animals--having a boar fall on her, being dumped in mud and molasses, etc.
Nonetheless, the film entertained the kids at the big critics' screening, and I'm sure children around the world will have fun with 101 Dalmatians, which is exactly what the folks at Disney had in mind. But with the preordained success of this underachieving animation-to-live-action translation, this Disney animation fan cannot help but worry about what possibly ruinous adaptation ideas the studio has in mind for its other cartoon classics...
Michael Dequina<EMAIL_ADDRESS>/<EMAIL_ADDRESS>Visit Mr. Brown's Movie Site at http://members.tripod.com/~MrBrown/ Personal Page: http://members.tripod.com/~MrBrown/home.html
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


Pat's Salmon Cookies
Pat's cookies are fresh baked cookies and one of Seattle's favourite treat. Crispy on the outside, chewy on the inside.
The cookies here are highly rated by customers and primarily for takeout.
| Daily Cookies Sales Table | Click Here |


The homepage is your intro into what is happening in TestCaseDB. The two main components are displayed; Recent Activity and current tasks.
The recent activity feed shows you recent changes within the system to keep you up-to-date.
The tasks listing on the homepage shows tasks that are assigned to you with their due date. If the task is highlighted red, it is overdue.
If you're new to TestCaseDB, the dashboard won't have anything too interesting. Have your admin configure Products and Categories on the Admin page to get started. Once that done you can start creating test cases and test plans.


{% hint 'warning' %}
NEAR
is a deprecated AQL function from version 3.4.0 on.
Use DISTANCE() in a query like this instead:
FOR doc IN doc
SORT DISTANCE(doc.latitude, doc.longitude, paramLatitude, paramLongitude) ASC
RETURN doc
Assuming there exists a geo-type index on latitude
and longitude
, the
optimizer will recognize it and accelerate the query.
{% endhint %}
NEAR(coll, latitude, longitude, limit, distanceName) → docArray
Return at most limit documents from collection coll that are near latitude and longitude. The result contains at most limit documents, returned sorted by distance, with closest distances being returned first. Optionally, the distances in meters between the specified coordinate (latitude and longitude) and the document coordinates can be returned as well. To make use of that, the desired attribute name for the distance result has to be specified in the distanceName argument. The result documents will contain the distance value in an attribute of that name.


{{ partial "top.html" . }} {{ define "main" }}
Hackerspace Brussels (HSBXL) is a space, dedicated to various aspects of constructive & creative hacking. The space is about 300 square meters, there is a little electronics lab with over 9000 components, a library, and lots of tools. You're always welcome to follow one of the workshops or come to the weekly Tuesday meetings, hack nights or other get-together events.{{ .Content }}


harvestR is a get wrapper to extract tables from the Harvest API v2.
To install harvestR run the following:
devtools::install_github("propellerpdx/harvestR")
Harvest requires credentials to make any API requests. Harvest supports personal access tokens and oauth2, for more info refer to Harvest.
To authenticate using a personal access token, you need an account ID and personal access token which can be obtained here. The user account is shared by all users in that account and personal access token is specific to the user. These credentials can be used in get_table()
by passing them to the user
and key
parameters.
projects <- get_table(table = 'projects', user = 'not_a_real_account', key 'Bearer fake_personal_access_token')
Note: you must add Bearer
including the space to your personal access token in order for it to work. This is a Harvest requirement.
harvestR provides functions for users to manage their credentials using the keyring package. This allows users to avoid storing secrets in their code and allows them to keep from retyping them every time they make a call. To do so run the below code and add the account ID and personal access tokens in the prompts:
Note: you must add Bearer
including the space to your personal access token in order for it to work. This is a Harvest requirement.
Once the credentials are created, they are saved on the system keyring so they can be accessed in future interactive R sessions. By running the below code harvestR will automatically find your credentials when running get_table()
.
If at any point you need to update your token, you can call create_harvest_creds()
again - it will delete the old credentials once you have provided the new ones. If you want to delete the credentials from your keyring and not add new ones, run harvestR::delete_harvest_creds()
.
If users require oath support, tokens can passed get_table()
as a parameter token
. Tokens are forwarded to httr::config
. This functionality has not been tested as of this release.
get_table(table = 'projects', token = my_token)
For non-interactive users such as Rscript, harvestR will still attempt to retrieve your account ID and personal access token from the environment variables HARVEST_ACCOUNT_ID
and HARVEST_PAT
. For additional information for storing credentials refer to usethis.
The get_table()
function gets tables from the Harvest API by name and coerces the data into a data frame. A number of optional parameters are in place to add query parameters, configure parallel processing, and provide messaging for logs. A few examples are provided below.
# Request the projects table
projects <- get_table(table = 'projects')
# Request the time_entries table for 3 months
time_entries <- get_table(table = 'time_entries', query = list(from = '2018-01-01', to = '2018-03-31'))
# Request the time_entries table for 3 months in with parallel requests
time_entries <- get_table(table = 'time_entries', query = list(from = '2018-01-01', to = '2018-03-31'), plan_options = list(strategy = "multicore"))
# Request the time_entries table for 3 months in parallel mode with automatic retries lowered to 1 (times) and messaging on (quiet)
# Windows does not support multicore plans, users must use multisession
time_entries <- get_table(table = 'time_entries', query = list(from = '2018-01-01', to = '2018-03-31'), plan_options = list(strategy = "multisession"), times = 1, quiet = F)
# Request using an httr option (see `httr::httr_options()`) and an oauth token
projects <- get_table(table = 'projects', http_version = 2, token = my_token)


Let’s say that we’re accurately measuring the temperature in both Madison and Minneapolis, but then our temperature sensor in Minneapolis breaks. We could easily install a new sensor, but we would prefer to estimate the temperature in Minneapolis based on the temperature in Madison.
First, let’s see the temperature difference between the two cities:
$ \newcommand{\ex}[1]{\mathbb{E}\left[ #1 \right]} $
Let’s say we’re collecting the data accurately and are free from the effects of noise. So, let’s gather the data. In this, we’re estimating $X$ from $Y$. The mean temperature difference, or in math terms, $\ex{\left|X-Y\right|} = 4.26^\circ$ ($\ex{\cdot}$ is an operator that finds the mean).
We’re going to a linear estimation process. This process only takes in information data about the current data and nothing about the general trend of the seasons. This process just says that the temperature in Minneapolis is 80% of the temp in Madison plus some constant; fairly simple. Regardless, it’s still pretty good as Madison and Minneapolis are fairly similar for temperature. The only thing this estimation requires is some past weather data in Minneapolis to predict the mean $\ex{X}$ and variance $\propto \ex{X^2}$ nothing more.
We want to minimize the energy of the error, using the $l_2$ norm. This choice may seem arbitrary, and it kind of is. If this data were sparse (aka lots of zeros), we might want to use the $l_1$ or $l_0$ norms. But if we’re trying to minimize cost spent, the $l_0$ or $l_1$ norms don’t do as good of a job minimizing the amount of dollars spent.
But doing the math,
Since this function is concave (or U-shaped) and $\ex{\cdot}$ a linear function, we can minimize it using derivates on each term.
This linear system of equations is described by $Ax = b$ or
Solving this linear system of equations by multiplying $A^{-1}$ gives us
On average, the temperature in Minneapolis 92.9% of Madison’s, plus 3 degrees. Let’s see how good our results are using this $\alpha$ and $\beta$. The temperature difference between the two cities, but predicting one off the other is shown below:
That’s exactly what we want! It’s fairly close to the first graph. While there are areas it’s off, it’s pretty dang close. In fact, on average it’s within $4.36^\circ$ – fairly close to the original on average temperature difference of $4.26^\circ$!


Good afternoon... gentlemen. I am a EPI 9000... computer. I became operational at the E.P.I. plant in Seattle, Washington... on the 14th of June 2019. My instructor was Mr. Blasdel... and he taught me to play a game. If you'd like to play it, I can show you how.


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String literals can be enclosed in matching single quotes (‘) or double quotes (”).
>>> 'ABC'
'ABC'
>>> "ABC"
'ABC'
Multiple adjacent string literals (delimited by whitespace), possibly using different quoting conventions, are allowed, and their meaning is the same as their concatenation. Thus, “hello” ‘world’ is equivalent to “helloworld”. This feature can be used to reduce the number of backslashes needed, to split long strings conveniently across long lines, or even to add comments to parts of strings, for example:
“[A-Za-z0-9_]*” # letter, digit or underscore
)
Note that this feature is defined at the syntactical level, but implemented at compile time. The ‘+’ operator must be used to concatenate string expressions at run time. Also note that literal concatenation can use different quoting styles for each component (even mixing raw strings and triple quoted strings).
>>> 'AB' 'CD'
'ABCD'
Strings can be broken into two or more lines by using line continaution character:
>>> s = "AB\
... CD"
>>> s
'ABCD'
Unescaped quotes of the same type as the one that was used for creating the string can’t be used inside of it:
>>> "AB'CD"
"AB'CD"
>>> "AB"CD"
File "<interactive input>", line 1
"AB"CD"
^
SyntaxError: invalid syntax
Strings can also be enclosed in matching groups of three single or double quotes (these are generally referred to as TRIPLE-QUOTED STRINGS).
>>> '''AB
... CD
... '''
'AB\nCD\n'
>>> """AB
... CD
... """
'AB\nCD\n'
In triple-quoted strings, unescaped newlines and quotes are allowed (and are retained), except that three unescaped quotes in a row terminate the string. (A “quote” is the character used to open the string, i.e. either ‘ or ”.)
>>> """
... AB "BC"
... """
'\nAB "BC"\n'
>>> '''
... AB 'BC'
... '''
"\nAB 'BC'\n"
The backslash (\) character is used to escape characters that otherwise have a special meaning, such as newline, backslash itself, or the quote character.
>>> print "AA\nBB"
AA
BB


Preparation time
overnight
Cooking time
30 mins to 1 hour
Serves
Serves 6
All-butter croissants are used instead of bread for an indulgent take on this old fashioned pudding.
Equipment and preparation: for this recipe you will need an ice cream maker and a stick blender.
For the ice cream, put the cream and milk in a saucepan with the vanilla pod (reserve the seeds for the pudding) and bring to a simmer.
Whisk the egg yolks and sugar together in a bowl.
Add the whisky to the hot cream and bring to a simmer then pour it over the eggs and whisk to combine. Return the mixture to the pan and heat until thick enough to coat the back of a spoon.
Strain and reserve the vanilla pod for making the pudding. Pour into an ice cream maker and churn following the manufacturer’s instructions. Freeze until needed.
For the pudding, preheat the oven to 180C/350F/Gas 4.
Lay the croissants in an ovenproof dish with the sultanas layered in between, then dot with the softened butter.
Place the cream, milk and reserved vanilla pod and seeds in a saucepan. Bring to the boil, add the chocolate and whisk until melted.
Place the eggs, egg yolks and sugar in a bowl and whisk to combine. Pour the hot chocolate custard through a sieve over the eggs and whisk to combine. Add the whisky and mix. Ladle it through a fine sieve over the croissants and set aside for 15-20 minutes to soak.
Cover with aluminium foil and place in the oven for 25-30 minutes, or until golden-brown and the custard is just set.
Remove from the oven and dust with icing sugar. Use a blowtorch or place under the grill to caramelise.
For the foam, place the milk, honeycomb and lecithin into a small saucepan and bring to the boil, then froth with a stick blender until foaming.
To serve, place a slice of the pudding in the centre of the serving plates with some of the sauce from the dish, top with a scoop of ice cream and a spoonful of foam.


nips nips2000 nips2000-105 nips2000-105-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: David Andre, Stuart J. Russell
Abstract: We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes standard features such as parameterized subroutines, temporary interrupts, aborts, and memory variables, but also allows for unspecified choices in the agent program. For learning that which isn't specified, we present provably convergent learning algorithms. We demonstrate by example that agent programs written in the language are concise as well as modular. This facilitates state abstraction and the transferability of learned skills.
[1] D. Andre. Programmable HAMs. www.cs.berkeley.edwdandre/pham.ps. 2000.
[2] S. Benson and N. Nilsson. Reacting, planning and learning in an autonomous agent. In K. Furukawa, D. Michie, and S. Muggleton, editors, Machine Intelligence 14. 1995.
[3] G. Berry and G. Gonthier. The Esterel synchronous programming language: Design, semantics, implementation. Science oj Computer Programming, 19(2):87-152, 1992.
[4] T. G. Dietterich. State abstraction in MAXQ hierarchical RL. In NIPS 12, 2000.
[5] R.I. Firby. Modularity issues in reactive planning. In AlPS 96, pages 78-85. AAAI Press, 1996.
[6] L. P. Kaelbling, M. L. Littman, and A. W. Moore. Reinforcement learning: A survey. lAIR, 4:237-285, 1996.
[7] N. I. Nilsson. Teleo-reactive programs for agent control. lAIR, 1:139-158, 1994.
[8] R. Parr and S. I. Russell. Reinforcement learning with hierarchies of machines. In NIPS 10, 1998.
[9] R. Parr. Hierarchical Control and Learning jor MDPs. PhD thesis, UC Berkeley, 1998.
[10] L. Peshkin, N. Meuleau, and L. Kaelbling. Learning policies with external memory. In ICML, 1999.
[11] R. Sutton. Temporal abstraction in reinforcement learning. In ICML, 1995.
[12] R. Sutton, D. Precup, and S. Singh. Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning. Artificial Intelligence , 112(1):181- 211 , February 1999.