TFormPoint
Parameters:
| x# - x co-ordinate on which to perform transformation y# - y co-ordinate on which to perform transformaion z# - z co-ordinate on which to perform transformation src_entity - source entity space from which to transform co-ordinates dest_entity - destination entity space to transform co-ordinates |
Description:
| TFormPoint takes the co-ordinates of the source entity and 'transforms' them into co-ordinates relative to the co-ordinates of the destination entity (taking x, y and z as offsets, usually all set to 0 to use the center of the given entities). The resulting co-ordinates can be retrieved by the use of the TFormedX, TFormedY and TFormedZ functions. Passing 0 as either source or destination entity means that the transformation is performed relative to the global space (ie. the 3D world).
In English, this means that if you supply two entities, you can find the individual x, y and z offset distances of the source entity from the destination entity (providing you pass 0, 0, 0 as the x, y and z parameters). Changing the x, y and z parameters to anything other than zero will perform the transformation with this offset taken into account. For example, you can specify a point 5 units to the left of the given entities (x = 5), and the result will be offset by that x value. |
|
Graphics3D 640, 480 cam = CreateCamera () MoveEntity cam, 5, 0, -5 box = CreateCube () MoveEntity box, 5, 0, 0 Repeat If KeyDown (203) TurnEntity cam, 0, 0.5, 0 If KeyDown (205) TurnEntity cam, 0, -0.5, 0 If KeyDown (200) MoveEntity cam, 0, 0, 0.1 If KeyDown (208) MoveEntity cam, 0, 0, -0.1 bx# = EntityX (box) by# = EntityY (box) bz# = EntityZ (box) cx# = EntityX (cam, 1) cy# = EntityY (cam, 1) cz# = EntityZ (cam, 1) TFormPoint 0, 0, 0, cam, box xdist# = TFormedX () ydist# = TFormedY () zdist# = TFormedZ () UpdateWorld RenderWorld Text 0, 20, "Box's global position" Text 20, 40, "x: " + bx Text 20, 60, "y: " + by Text 20, 80, "z: " + bz Text 0, 120, "Camera's global position" Text 20, 140, "x: " + cx Text 20, 160, "y: " + cy Text 20, 180, "z: " + cz Text 0, 220, "Camera position relative to box" Text 20, 240, "x: " + xdist Text 20, 260, "y: " + ydist Text 20, 280, "z: " + zdist Flip Until KeyHit (1) End |


| First Name | Last Name | |
|---|---|---|
| Scrooge | McDuck |<EMAIL_ADDRESS>|
| Launchpad | McQuack |<EMAIL_ADDRESS>|
| First Name | Last Name | |
|---|---|---|
| Scrooge | McDuck |<EMAIL_ADDRESS>|
| Launchpad | McQuack |<EMAIL_ADDRESS>|
| A | B | C |
|---|---|---|
| 1 | 2 | 3 |
| Name | ||
|---|---|---|
| ID | First | Last |
| 001 | Scrooge | McDuck |
| 002 | Huey | Duck |
| 003 | Dewey | |
| 004 | Louie |
| Customer ID | First Name | Last Name | email ; all rows above a line of pure hyphens (-) are treated as th |
|---|---|---|---|
| 0001 | Duckworth |<EMAIL_ADDRESS>| |
| 0002 | Scrooge | McDuck |<EMAIL_ADDRESS>|
| Scrooge | McDuck |<EMAIL_ADDRESS>| |
| Multiple commands can be given after each with or without spaces lines starting with a tab are concatenated to the previous line with a space between them | |||
| 0004 | Donald | Duck |<EMAIL_ADDRESS>|


You have requested the link which allows you to change your password.
Please change your password by using the button below.
Haven’t you requested? Please contact us IMMEDIATELY<EMAIL_ADDRESS>All rights reserved @ Ruby-x.io
URL : https://ruby-x.io | Support : support@ruby-x.io


Jürgen Höller telling the story about growth of Spring @JAXCON
Interactive Visualization is not about
consuming stories
Interactive Visualization is about
exploring the world
My Question for today: What can we learn from domestic US air-traffic data?
That question is really vague
- In which respect?
- Overall frequency?
- For a specific airport?
- For a specific airline?
- For a specific date?
Problem #1: Often you do not even know the question
What do you do when you have no clue?
Solution #1: You play around to learn
D3.js: Dynamic graphics in the browser
Interactive graphics are the basis of playing around
D3.js
- http://d3js.org/
- Transform your data into visualizations in the browser
- Style of programming declarative
- Main field of use are diagrams using SVG (but D3 is not limited to that)
- Data is bound to SVG elements which change once the data changes
Problem #2: Data might be really big and multivariate
Solution #2: Use indexes and multidimensional filtering in the browser
Explore data to gain insights
Crossfilter: Filtering millions of data sets in real time
- http://square.github.io/crossfilter/
- Can filter up to millions of data sets in real time in the browser
- Data sets are indexed when loaded
- You specify what you want to filter using dimensions
The data
// this is how the data for our flights looks like
console.log(flights[0]);
{
"Month": "9", // part of timestamp (year implied)
"DayofMonth": "5", // part of timestamp (year implied)
"UniqueCarrier": "US", // categorical
"AirTime": "67", // numerical
"ArrDelay": "22", // numerical
"DepDelay": "31", // numerical
"Origin": "MCO", // categorical
"Dest": "CLT", // categorical
"Distance": "468", // numerical
"Cancelled": 0 // categorical
}
Where does the data come from?
- http://stat-computing.org/dataexpo/2009/
- All domestic US flights from 1987 to 2008, grouped per year
- Format CSV
- 2001 data reduced using awk
- Some columns cut off using cut
- A variation of this uses Elasticsearch to dynamically query for intervals
Caution
Interpretation already starts with selection of input data sets
- Different time ranges can give very different results
- What columns are relevant is not easy to say
- In the first version of the talk I ignored 'cancelled' leading to bad results
- Bad mistakes in this phase of the processing can not be healed in later steps
- Even the 'raw' data contains a lot of assumptions and interpretations from the initial creator
Crossfilter Sample Code
// creating a new crossfilter (multi-dimensional dataset)
// flights array contains all flights for a single month
flight = crossfilter(flights);
console.log(flight.size()); // 490698
// creating a dimension for all carriers of all flights
carrier = flight.dimension(function (d) {
return d.UniqueCarrier;
});
// group() reduces this dimension to distinct values
var distrinctCarriersGroup = carrier.group();
console.log("Distinct carriers: " + distrinctCarriersGroup.size());
// 12
// filter just for TW
carrier.filter("TW");
// groupAll() creates a group intersecting all current filters
// Trans World Airlines, became part of American Airlines in 2001
console.log("TW flights", flight.groupAll().value()); // 19427
// display first 10 matches
console.log(flight.top(10));
Problem #3: How to make that interface more accessible?
Writing JavaScript code is not most convenient to do that
Also not accessible to non programmers
How do you find connections?
Solution #3: Combine crossfilter with D3
dc.js: Charting with D3 and Crossfilter
Problem #4: Which diagram types to choose and how to arrange them?
NO
Solution #4: That is the hard part
Rather an art than a craft
How can I make this valuable?
Choose the graphical encodings...
... that are best visually decoded.
Graphical Encodings
http://strataconf.com/big-data-conference-ny-2015/public/schedule/detail/43411
Clear Vision, avoid chartjunk
How I really designed it
Ordering Values: Possisbly first pie chart ever
http://blog.visual.ly/12-great-visualizations-that-made-history/
Pie Charts have drawbacks
Hard to compare their segments...
... except for the classic case of a missing segment
Order (Part #1): Display Carriers as a Pie Chart
Code for creating the pie chart
var pieChartCarriers = dc.pieChart("#pie");
pieChartCarriers
.slicesCap(5)
.dimension(carrier)
.group(carrier.group().reduceCount());
Connect (Part #2): Origin, Destination, Carriers combined
Time Series: London Underground ad from 1928
Time Series (Part #3): Filtering using Brushes
Code for creating the line chart
var chart = dc.lineChart("#series");
chart
.dimension(date)
.group(date.group())
.brushOn(true));
Map (Part #4): All flights from Hawaii
Code for creating the map
var stateOriginMap = dc.geoChoroplethChart("#state-origin-map");
stateOriginMap.width(500)
.height(250)
.dimension(stateOrigin)
.group(stateOrigin.group().reduceCount())
.colors(d3.scale.quantize().range(["#E2F2FF", "#C4E4FF", "#9ED2FF", "#81C5FF", "#6BBAFF", "#51AEFF", "#36A2FF", "#1E96FF", "#0089FF", "#0061B5"]))
.colorDomain([0, 20000]));
Summarizing our steps
- specify the domain: US domestic flights 2001
- get the data: CSV (flight data) and HTML (airport by state)
- clean and prepare the data (data munging): awk, cut, etc., jQuery for scraping
- load and index data in the browser: D3 and crossfilter
- create visualizations: D3 and DC.js
- explore using visualizations (this can be done by a non-technical person): browser
Wrapup
- D3 helps you to interactively explore your data visually
- For large amounts of multivariate datasets
- Crossfilter allows for fast multidimensional filtering
- there are limitations to data size, number of data sets, and dimensions
- you might have to make a pre-selection
- still more than a million of data sets are possible
- Use DC for coordinated visualizations with powerful widgets
- Choosing data, dimensions, chart types, and how to connect them is an art rather than a craft
- Data Munging can take up to 70% of effort
Next steps?
- Put data in ElasticSearch
- Instead of a static file
- Allows for serving dynamic time slices
- Preparation of data both simplified and more flexible
- Import using logstash or pandas
- Unsupervised Machine Learning to pre-process data
- WebGL and/or WebVR
Was hat das mit Embarc zu tun?


Type what you want to say here and we'll do our best to emojify what we can for you.
Emojified preview:
Emojified output:


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface StorageAccessIF
INTERNAL: Interface that encapsulates the access to the actual data repository.
| Method Summary | |
|---|---|
void |
abort()
INTERNAL: Aborts all changes performed in the transaction. |
void |
close()
INTERNAL: Closes the storage access, which allows it to free its resources. |
void |
commit()
INTERNAL: Commits the changes performed in the transaction. |
void |
createObject(ObjectAccessIF oaccess,
Object object)
INTERNAL: Called by the transaction when it requests the new object to be created in the data repository. |
QueryIF |
createQuery(JDOQuery jdoquery,
ObjectAccessIF oaccess,
AccessRegistrarIF registrar,
boolean lookup_identities)
INTERNAL: Build a QueryIF from the specified JDO query instance. |
QueryIF |
createQuery(String name,
ObjectAccessIF oaccess,
AccessRegistrarIF registrar)
INTERNAL: Creates a query instance for the given transaction. |
void |
deleteObject(ObjectAccessIF oaccess,
Object object)
INTERNAL: Called by the transaction when it requests the object to be deleted in the data repository. |
void |
flush()
INTERNAL: Called when the transaction requires the transaction changes to be stored by the storage access (i.e. |
IdentityIF |
generateIdentity(Object type)
INTERNAL: Called by the application when it requests a new object identity for a given object type. |
String |
getId()
INTERNAL: Gets the storage access id. |
String |
getProperty(String property)
INTERNAL: Gets the value of the specified property. |
StorageIF |
getStorage()
INTERNAL: Returns the storage definition that the access uses. |
boolean |
isReadOnly()
INTERNAL: Returns true if the storage access is read-only. |
Object |
loadField(AccessRegistrarIF registrar,
IdentityIF identity,
int field)
INTERNAL: Requests the loading of the specified field for the given object identity. |
Object |
loadFieldMultiple(AccessRegistrarIF registrar,
Collection identities,
IdentityIF current,
Object type,
int field)
INTERNAL: Requests the loading of the specified field for all the given object identities. |
boolean |
loadObject(AccessRegistrarIF registrar,
IdentityIF identity)
INTERNAL: Check for the existence of the object identity in the data repository. |
void |
storeDirty(ObjectAccessIF oaccess,
Object object)
INTERNAL: Stores object fields that are dirty in the database. |
boolean |
validate()
INTERNAL: Returns true if the storage access is valid. |
| Method Detail |
|---|
String getId()
StorageIF getStorage()
boolean isReadOnly()
String getProperty(String property)
boolean validate()
void commit()
void abort()
void close()
void flush()
This method exists mainly to allow storage access implementations to optimize its communication with data repositories. An example of this is writing transaction changes in batches to improve performance.
Note that the transaction will always call this method at the end of its store method. It will do this so that it is sure that the changes will be visible inside the data repository.
boolean loadObject(AccessRegistrarIF registrar, IdentityIF identity)
Object loadField(AccessRegistrarIF registrar, IdentityIF identity, int field) throws IdentityNotFoundException
IdentityNotFoundException
- if the identity was not found.Object loadFieldMultiple(AccessRegistrarIF registrar, Collection identities, IdentityIF current, Object type, int field) throws IdentityNotFoundException
IdentityNotFoundException
- if the identity was not found.void createObject(ObjectAccessIF oaccess, Object object)
void deleteObject(ObjectAccessIF oaccess, Object object)
void storeDirty(ObjectAccessIF oaccess, Object object)
IdentityIF generateIdentity(Object type)
QueryIF createQuery(String name, ObjectAccessIF oaccess, AccessRegistrarIF registrar)
QueryIF createQuery(JDOQuery jdoquery, ObjectAccessIF oaccess, AccessRegistrarIF registrar, boolean lookup_identities)
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


A (probably) non-fatal error has occured: {{flux.error}}
Validation queue: {{flux.stats.toValidate}} / {{flux.stats.totalMembers}}. Validations so far: {{flux.stats.totalValidations}}
{{ flux.currentSession.status }}
{{ flux.sessions[flux.curSocN].validMsg }}
{{ flux.sessions[flux.curSocN].validMsg }}
Error: {{flux.sessions[flux.curSocN].errorMsg}}
Note, sometimes the server gets overloaded (it's fairly intensive on the server-side) so if it doesn't work give it a few minutes or come back later. If it's really broken please email<EMAIL_ADDRESS>Wondering what this does? By filling in the CAPTCHA you're interfacing with the AEC electoral roll data.
Our server pre-fills the form, then you essentially fill in the last bit and press 'go'.
This let's us automate this process as much as possible. It's easily 10x faster than manually copy and pasting
details into the AEC website (which is what other parties do). What used to take a week (yes, really) can now be done in mere hours.
Show/Hide Advanced Notes
Advanced notes:
- Set the 'nSessions' param to an integer to use that many sessions (default: 2). This can increase the number of validations you can perform per minute provided the server is not overloaded and you're internet connection is fine. If you see the red star (loading icon) instead of a CAPTCHA often increasing nSessions might help.
- This micro app uses websockets for all the CAPTCHA stuff, and refreshes via prod.v1.api.flux.party/getinfo every 10 seconds for the other stats
- Set the 'state' param to one of nsw,vic,qld,sa,tas,nt,act,wa to validate only that state.
- Set the 'debug' param to anything to use local dev.
- Set the 'prod' param to anything to use production.


News for pip
0.5.1
- Fixed a couple little bugs, with git and with extensions.
0.5
- Added ability to override the default log file name (pip-log.txt)
with the environmental variable $PIP_LOG_FILE.
- Made the freeze command print installed packages to stdout instead of
writing them to a file. Use simple redirection (e.g.
pip freeze > stable-req.txt) to get a file with requirements.
- Fixed problem with freezing editable packages from a Git repository.
- Added support for base URLs using <base href='...'> when parsing
HTML pages.
- Fixed installing of non-editable packages from version control systems.
- Fixed issue with Bazaar’s bzr+ssh scheme.
- Added –download-dir option to the install command to retrieve package
archives. If given an editable package it will create an archive of it.
- Added ability to pass local file and directory paths to --find-links,
e.g. --find-links=file:///path/to/my/private/archive
- Reduced the amount of console log messages when fetching a page to find a
distribution was problematic. The full messages can be found in pip-log.txt.
- Added --no-deps option to install ignore package dependencies
- Added --no-index option to ignore the package index (PyPI) temporarily
- Fixed installing editable packages from Git branches.
- Fixes freezing of editable packages from Mercurial repositories.
- Fixed handling read-only attributes of build files, e.g. of Subversion and
Bazaar on Windows.
- When downloading a file from a redirect, use the redirected
location’s extension to guess the compression (happens specifically
when redirecting to a bitbucket.org tip.gz file).
- Editable freeze URLs now always use revision hash/id rather than tip or
branch names which could move.
- Fixed comparison of repo URLs so incidental differences such as
presence/absence of final slashes or quoted/unquoted special
characters don’t trigger “ignore/switch/wipe/backup” choice.
- Fixed handling of attempt to checkout editable install to a
non-empty, non-repo directory.
0.4
- Make -e work better with local hg repositories
- Construct PyPI URLs the exact way easy_install constructs URLs (you
might notice this if you use a custom index that is
slash-sensitive).
- Improvements on Windows (from Ionel Maries Cristian).
- Fixed problem with not being able to install private git repositories.
- Make pip zip zip all its arguments, not just the first.
- Fix some filename issues on Windows.
- Allow the -i and --extra-index-url options in requirements
files.
- Fix the way bundle components are unpacked and moved around, to make
bundles work.
- Adds -s option to allow the access to the global site-packages if a
virtualenv is to be created.
- Fixed support for Subversion 1.6.
0.3.1
- Improved virtualenv restart and various path/cleanup problems on win32.
- Fixed a regression with installing from svn repositories (when not
using -e).
- Fixes when installing editable packages that put their source in a
subdirectory (like src/).
- Improve pip -h
0.3
- Added support for editable packages created from Git, Mercurial and Bazaar
repositories and ability to freeze them. Refactored support for version
control systems.
- Do not use sys.exit() from inside the code, instead use a
return. This will make it easier to invoke programmatically.
- Put the install record in Package.egg-info/installed-files.txt
(previously they went in
site-packages/install-record-Package.txt).
- Fix a problem with pip freeze not including -e svn+ when an
svn structure is peculiar.
- Allow pip -E to work with a virtualenv that uses a different
version of Python than the parent environment.
- Fixed Win32 virtualenv (-E) option.
- Search the links passed in with -f for packages.
- Detect zip files, even when the file doesn’t have a .zip
extension and it is served with the wrong Content-Type.
- Installing editable from existing source now works, like pip
install -e some/path/ will install the package in some/path/.
Most importantly, anything that package requires will also be
installed by pip.
- Add a --path option to pip un/zip, so you can avoid zipping
files that are outside of where you expect.
- Add --simulate option to pip zip.
0.2.1
- Fixed small problem that prevented using pip.py without actually
installing pip.
- Fixed --upgrade, which would download and appear to install
upgraded packages, but actually just reinstall the existing package.
- Fixed Windows problem with putting the install record in the right
place, and generating the pip script with Setuptools.
- Download links that include embedded spaces or other unsafe
characters (those characters get %-encoded).
- Fixed use of URLs in requirement files, and problems with some blank
lines.
- Turn some tar file errors into warnings.
0.2
- Renamed to pip, and to install you now do pip install
PACKAGE
- Added command pip zip PACKAGE and pip unzip PACKAGE. This
is particularly intended for Google App Engine to manage libraries
to stay under the 1000-file limit.
- Some fixes to bundles, especially editable packages and when
creating a bundle using unnamed packages (like just an svn
repository without #egg=Package).
0.1.4
- Added an option --install-option to pass options to pass
arguments to setup.py install
- .svn/ directories are no longer included in bundles, as these
directories are specific to a version of svn – if you build a
bundle on a system with svn 1.5, you can’t use the checkout on a
system with svn 1.4. Instead a file svn-checkout.txt is
included that notes the original location and revision, and the
command you can use to turn it back into an svn checkout. (Probably
unpacking the bundle should, maybe optionally, recreate this
information – but that is not currently implemented, and it would
require network access.)
- Avoid ambiguities over project name case, where for instance
MyPackage and mypackage would be considered different packages.
This in particular caused problems on Macs, where MyPackage/ and
mypackage/ are the same directory.
- Added support for an environmental variable
$PIP_DOWNLOAD_CACHE which will cache package downloads, so
future installations won’t require large downloads. Network access
is still required, but just some downloads will be avoided when
using this.
0.1.3
- Always use svn checkout (not export) so that
tag_svn_revision settings give the revision of the package.
- Don’t update checkouts that came from .pybundle files.
0.1.2
- Improve error text when there are errors fetching HTML pages when
seeking packages.
- Improve bundles: include empty directories, make them work with
editable packages.
- If you use -E env and the environment env/ doesn’t exist, a
new virtual environment will be created.
- Fix dependency_links for finding packages.
0.1.1
- Fixed a NameError exception when running pip outside of a
virtualenv environment.
- Added HTTP proxy support (from Prabhu Ramachandran)
- Fixed use of hashlib.md5 on python2.5+ (also from Prabhu
Ramachandran)


Regular expressions are used in every language, every programmer is familiar with them. Regex can be used to easily express complex strings. What better way to generate a random data than with a tool you can easily describe what string you want?
Thanks to String-Random for giving me the idea to make this in the first place and randexp for the nifty little `.gen` syntax.
For node.js install with npm
npm install randexp
For use in browsers, download the minified version from the latest release.
MIT
Roly Fentanes (roly426@gmail.com)


REUTERS: Brescia striker Mario Balotelli threatened to walk off the pitch after receiving alleged racist abuse from Hellas Verona fans during the teams’ Serie A meeting on Sunday.
The Italy international was left enraged by the chants coming from a section of the home support at the Stadio Bentegodi.
Nine minutes into the second half, Balotelli stopped the game when he picked the ball up and volleyed it into the offending section of the stadium.
He walked behind the goal before the striker’s team mates and opponents convinced him to stay on the field.
The referee Maurizio Mariani stopped the game and a message was read out over the stadium loudspeaker threatening to suspend the match for a longer period if the chants continued.
Play was on hold for around four minutes before continuing.
Verona coach Ivan Juric denied hearing anything offensive from the stands.
“I am not afraid to say there were no racist chants today," Juric told Sky Sport Italia.
"They might have jeered and mocked the great player, but there was nothing there...
“You can ask him, there was nothing there. I am disgusted by racist abuse and I will be the first to condemn it when it happens, but this was not it.
“They provoked him with jeers and sarcastic chants, but they were not racist. Anything else is a lie."
The game finished in a 2-1 victory for Verona, but Balotelli made his mark by scoring a superb strike with five minutes to go.
It was the second time this weekend that a Serie A match has been interrupted because of offensive chants.
AS Roma’s game against Napoli on Saturday was briefly halted because of discriminatory chants from the home supporters about the city of Naples.
(Reporting by Alasdair Mackenzie; Editing by Toby Davis)


A Little About Me
I am a senior at the University of California, Berkeley, majoring in Bioengineering and minoring in EECS.
Look at what I've done! Resume{% load static %}
I am a senior at the University of California, Berkeley, majoring in Bioengineering and minoring in EECS.
Look at what I've done! ResumeSoftware is an amazing tool that allows us to solve bigger and harder problems. It lets us find the shortest path to our next class, sort our busy schedules and stream the next big meme. But I think software engineering can be used for even bigger and better things, like modeling protein folding or connecting the world or even getting us to Mars. And I want to be a part of this process.
GithubOne of my biggest hobbies is photography (and all the photos on this website were taken by me). I think that a photo not only lets us capture the moment, but
Flickr


| Name: Mr.Srinivas R | Reg No: 09-4SMMHC18 |
|---|---|
| Age / Sex:46/M | Contact No:9945557804 |
| Marital Status:ML- 17YRS | Date:13/4/18 |
| Occupation:SOFTWARE ENG. | Dr. |
| Address:IN BLORE SINCE 20 YEAARS | DIAGNOSIS- |
FEVER SINCE WED. ON MONDAY HAD LIL BFST AND LUCH WAS SPICY. NO OTHER CHANGE.
MOUTH ULCERS AND PIMPLES ON NOSE.
IF THE TEMP IS HIGH BREATH BECOMES HOT. THEN ONLY CHECKS HIS TEMP.
 APP. IS LOW HUNGRY BUT UNABLE TO EAT. IF EATS A LIL QUANTITY FEELS FULL. ON WAKING FEELS BETTER TILL 10AM. FEELS WORSE BY 6PM TO 7PM N CONT THRUOUT THE NIGHT. NO SWEAT ONLY FEVER.  EXTREMETIES ARE COLD. AND OTHER PARTS ARE HOT.
STOMACH PAIN < HUNGRY AND STAYS AFTER EATING ALSO FR A WHILE.
RX:
ANT CRUD 200 – 10 DOSES – 1 DOSE – 2 HOURLY WITH WATER.
NUX VOM 1M – 1 DOSE
FERR PHOS 6X – 4 TABS 1 HOURLY TILL FEVER REDUCES ONCE REDUCES TAKE 3 HOURLY.
14/4/18: fever inc. not feeling better.lying agg. Gets nausea and weak. He is sitting. If drinks plain water feels pain in stomach. If fever is high gets weak and unable to eat. fever inc over afternoon and evening.
Rx:
bryonia 1m+china ars200+ baptsia1m- 2 dram 2 hourly.
Ant.crud 1m – 1 dram pills 2 pills 2 hourly.


Cooking Similarity
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Spoilers: Corrie star reveals more trauma for Daniel next year
It’s been a hellish end to the year for Daniel Osbourne (Rob Mallard) as he is currently facing the traumatic grief of losing his beloved wife Sinead to cancer. As he battles his feelings of desperate loss, he is also trying to do his best by Bertie but Coronation Street fans know that he isn’t coping.
While Peter Barlow (Chris Gascoyne) manages to convince him to come home for Sinead’s funeral, things kick off again for him after his painful goodbye as he loses memories of his beloved Sinead when the laptop containing her final videos is stolen.
He goes off the rails and the police have to get involved when he storms into a shop and accuses the seller of dealing in stolen goods. But that is just the beginning of the journey for the long suffering character as his turmoil won’t end any time soon.
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Rob told The Inside Soap Yearbook 2020: ‘I always see the story as being in split into two, the first part was leading up to the death, and the other is about being a widower at a young age, and not knowing how to navigate that.
‘Sinead’s death was a peak, but this story won’t be winding down anytime soon.’
Revealing his mixed feelings about finding out that Sinead was going to die, Rob added: ‘I was sad to see Katie leave but glad to take on the story. And I was glad to know it was going to be handled the way it was.
Katie kept saying that she wanted Sinead to die, to show the consequences of doing what she did with the alternative therapies and stuff like that. To get what we wanted – girls getting themselves checked – Sinead had to die to have that impact.’
The Inside Soap Yearbook 2020 is out now.


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pantalla 1
pantalla 2
pantalla 3
pantalla 4
pantalla 5
hola
algo
and tiny ideas
gracias!!!


Work Day Scheduler
A simple calendar app for scheduling your work day
9:00
10:00
11:00
12:00
13:00
14:00
15pm
16pm
17pm


--- title: Flexidispatch keywords: fastai sidebar: home_sidebar summary: "to dispatch according to arbitary criteria " description: "to dispatch according to arbitary criteria " nb_path: "index.ipynb" ---
pip install flexidispatch
Fill me in please! Don't forget code examples:
process = Multimethod("processing payload", lambda x: x["framework"])
@process.add("polaris")
def f(x):
return "I am polaris"
@process.add("vega")
def f(x):
return "I am vega"
process({
"framework":"polaris",
"scores":{"P":1,"O":1}
})
process({
"framework":"vega",
"x":[1,2],
"scores":{"V":1,"E":1}
})


rawtoppm(1) rawtoppm(1) NAME rawtoppm - convert raw RGB bytes into a portable pixmap SYNOPSIS rawtoppm [-headerskip N] [-rowskip N] [-rgb|-rbg|-grb |-gbr|-brg|-bgr ] [-interpixel|-interrow] width height [imagedata] DESCRIPTION Reads raw RGB bytes as input. Produces a portable pixmap as output. The input file is just RGB bytes. You have to specify the width and height on the command line, since the program obviously can't get them from the file. The maxval is assumed to be 255. If the resulting image is upside down, run it through pnmflip -tb . OPTIONS -headerskip If the file has a header, you can use this flag to skip over it. -rowskip If there is padding at the ends of the rows, you can skip it with this flag. -rgb -rbg -grb -gbr -brg -bgr These flags let you specify alternate color orders. The default is -rgb. -interpixel -interrow These flags let you specify how the colors are interleaved. The default is -interpixel, meaning interleaved by pixel. A byte of red, a byte of green, and a byte of blue, or whatever color order you specified. -interrow means interleaved by row - a row of red, a row of green, a row of blue, assuming standard rgb color order. An -interplane flag - all the red pixels, then all the green, then all the blue - would be an obvious extension, but is not implemented. You could get the same effect by splitting the file into three parts (perhaps using dd), turning each part into a PGM file with rawtopgm, and then combining them with rgb3toppm. SEE ALSO ppm(5), rawtopgm(1), rgb3toppm(1), pnmflip(1) AUTHOR Copyright (C) 1991 by Jef Poskanzer. 06 February 1991 rawtoppm(1)


--- layout: post status: publish published: true title: Architects and designers author: display_name: neil login: neil email<EMAIL_ADDRESS>url: '' author_login: neil author_email<EMAIL_ADDRESS>wordpress_id: 178 wordpress_url: https://blog.mitese.co.uk/?p=178 date: '2016-11-16 11:53:13 +0000' date_gmt: '2016-11-16 11:53:13 +0000' categories: - Development tags: [] comments: [] ---
Writing reusable code is the heart of the DRY principle. However it is important to reuse the correct code.
A picture, as they say
Technical Debt and Dependency hell can quickly create big issues and slow a project to a crawl. This can be avoided if a great architect and design steps are involved before the project starts. Often refactoring code will be required to make modules or functions loosely coupled and less dependent on each other.
Even within a Scrum and Agile framework, it is better to have a clear view of the end result and understand how the new 'thing', will interface with the existing 'stuff'.


| Name: |
{{res.name|title}} |
| Year: |
{{res.year}} |
| Assets: |
{{res.assets}} (thousands of USD) |
| Number of {{year}} Applications: |
{{res.num_loans}} |
| Regulating Agency: |
{{res.agency.full_name}} |
| Headquarters City & State: |
{{res.zip_code.city|title}}, {{res.zip_code.state|upper}} |
| Agency-HMDA ID: |
0{{res.agency_id}}-{{res.respondent_id}} |
| RSSD ID: |
{{res.rssd_id}} |
| |
NIC data
|
| |
HMDA Panel and Transmittal Sheet (TS) data
|


Specify the HTTP URL for this project's GitLab page. The URL needs to include the owner and
project so, for
example, if the GitLab server is https://gitLab.example.com
then the URL for bob's
skunkworks
project might be https://gitLab.example.com/bob/skunkworks


asymptomatic {border-style cases px;} #ffffff;} COVID- China []. px; {font-family font-size double; Commons Creative border-color border-width close coronavirus pre-symptomatic prevalence solid; transmission {font-style {font-weight National applicable article bold community control courier; disease documented em; important included individuals infection pt;} testing viral


Demo A : Styling image shapes
.rounded
.rounded-circle
.img-thumbnail
Note: Custom thumbnails with text content can be created using a separate component that is covered later.
Demo B : Images can be contained within their parent container using img-fluid. Center them using .mx-auto.d-block


--- layout: post tags: [Languages, Unit Testing, F#] date: 2012-06-01 05:54:27 UTC title: "Bank OCR kata in F#: user story 2" description: "A walk-through of user story 2 of the Bank OCR kata done in F#." permalink: /2012/06/01/BankOCRkatainFuserstory2 --- {% include JB/setup %}
Following up on my initial post about the Bank OCR kata, this post walks through the code required to implement user story 2, which is about calculating a checksum.
The code I previously described already contains a function called ParseToDigits which returns a sequence of digits, so it seems reasonable to express the validation function as based on a sequence of digits as input.
To ensure that the behavior of the new IsValid function would be correct, I wrote this Parameterized Test:
[<Theory>] [<InlineData(1, 2, 3, 4, 5, 6, 7, 8, 9, true)>] [<InlineData(3, 4, 5, 8, 8, 2, 8, 6, 5, true)>] [<InlineData(3, 4, 5, 8, 8, 2, 8, 1, 4, true)>] [<InlineData(7, 1, 5, 8, 8, 2, 8, 6, 4, true)>] [<InlineData(7, 4, 5, 8, 8, 2, 8, 6, 5, false)>] [<InlineData(7, 4, 5, 8, 8, 2, 8, 6, 9, false)>] [<InlineData(7, 4, 5, 8, 8, 2, 8, 6, 8, false)>] [<InlineData(1, 2, 3, 4, 5, 6, 7, 8, 8, false)>] [<InlineData(1, 3, 3, 4, 5, 6, 7, 8, 8, false)>] [<InlineData(1, 3, 3, 4, 5, 6, 7, 8, 0, false)>] let IsValidReturnsCorrectResult d9 d8 d7 d6 d5 d4 d3 d2 d1 expected = seq { yield! [d9; d8; d7; d6; d5; d4; d3; d2; d1] } |> IsValid |> should equal expected
As was the case for the previous tests, this test utilizes xUnit.net's data theories feature to succinctly express a parameterized test, as well as FsUnit for the assertion DSL.
Once again I'd like to point out how the use of pipes enables me to very compactly follow the Arrange Act Assert (AAA) test pattern.
The IsValid function is very simple:
let IsValid digits = match digits |> Seq.toArray with | [| d9; d8; d7; d6; d5; d4; d3; d2; d1 |] -> (d1 + 2 * d2 + 3 * d3 + 4 * d4 + 5 * d5 + 6 * d6 + 7 * d7 + 8 * d8 + 9 * d9) % 11 = 0 | _ -> false
The input sequence is converted to an array by piping it into the Seq.toArray function. The resulting array is then matched against an expected shape.
If the array contains exactly 9 elements, each element is decomposed into a named variable (d9, d8, etc.) and passed to the correct checksum formula. The formula only returns true if the calculated result is zero; otherwise it returns false.
If the input doesn't match the expected pattern, the return value is false. The following tests prove this:
[<Fact>] let IsValidOfTooShortSequenceReturnsFalse() = seq { yield! [3; 4; 5; 8; 8; 2; 8; 6] } |> IsValid |> should equal false [<Fact>] let IsValidOfTooLongSequenceReturnsFalse() = seq { yield! [3; 4; 5; 8; 8; 2; 8; 6; 5; 7] } |> IsValid |> should equal false
In a future post I will walk you through user stories 3 and 4.
Comments
Because of F# powerful type inference, that's what the function ends up doing anyway, but with TDD, it's the test that specifies the shape of the API, not the other way around.
However, I could also have written [d9; d8; d7; d6; d5; d4; d3; d2; d1] |> List.toSeq... There's no particular reason why I chose a sequence expression over that...


Apache HTTP Server Version 2.0
Apache module mod_athena manual
Summary
Install / Compile / Tune
Architectural suggestions
Securing the system
Configuration suggestions
Directives
Sending statistics
Runtime management
Querying the balancer


Babel Bridge
Create parsers with ease 100% in Ruby.
Install
It's a gem, installed like any other:sudo gem install babel_bridge
How to Create a Turing-Complete Language in 40 minutes
Watch this video to see how easy it is to make cool things happen with Babel-Bridge.
A Quick Example
To create a new parser, declare a new class and inherit from BabelBridge::Parser
. Inside your parser class, list all your parsing rules.
To use your parser, create a new instance and call parse
, passing in the string you wish to parse.
require "babel_bridge"
class MyParser < BabelBridge : :Parser
rule :foo , "foo" , :bar?
# rule named :foo
# match the string "foo"
# optionally followed by the rule :bar
rule :bar , "bar"
# rule named :bar
# match "bar"
end
parser = MyParser . new
parser . parse "foo" # matches "foo"
parser . parse "foobar" # matches "foobar"
Features
- Full parsing expression grammer support with memoizing
- Full Ruby regular expressions support for terminals
- Simple, convention-based parse-tree class structure
- Human-readable parse-tree dumps
- Detailed information about parsing failures
- Custom sub-parser hooks
- Shortcuts for matching lists with delimiters
Goals
I was inspired by Treetop's use of parsing expression grammars in Ruby.  However I found Treetop's custom .treetop files awkward to work with.
I wanted a way to express PEGs directly in my Ruby code. As an active Rails developer, I wanted to embrace Convention-Over-Configuration and DRY and come up with a declarative API similar to ActiveRecord. I started out writing patches to Treetop, but it quickly became evident my direction was incompatible with the existing codebase. So, on a whim, I started Babel Bridge. A few weeks later, and surprisingly little code (786 lines in 0.1.1), I am quite please with the result.
Overall, my goal is to make it easy to write grammars and easy to debug them when they aren't working.
Status
The initial release is stable, but has only been lightly tested. Please let me know if you have problems.System Requirements
Ruby 1.8 and 1.9 are supported.Related Work
Other Ruby based parsers using parsing expression grammars:Further reading
Project Links
- Source: github.com/shanebdavis/Babel-Bridge
- Contact: Shane Brinkman-Davis:


@examples This example shows a very simple method of encrypting then decrypting a String value.
Private Sub Main() Dim Key As New RijndaelManaged Dim Buffer() As Byte Dim PlainText As String ' Encrypt a string to a byte array. Buffer = Encrypt("This is some plaintext!", Key) Debug.Print "Encrypted data" PrintBytes Buffer Debug.Print ' Decrypt the byte array back to a string. PlainText = Decrypt(Buffer, Key) ' Display the plaintext value to the console. Debug.Print "Original data" Debug.Print PlainText End Sub Private Sub PrintBytes(ByRef Bytes() As Byte) Dim i As Long For i = LBound(Bytes) To UBound(Bytes) Debug.Print Object.ToString(Bytes(i), "X2"); " "; Next Debug.Print End Sub ' Encrypt the string. Private Function Encrypt(ByVal PlainText As String, ByVal Key As SymmetricAlgorithm) As Byte() Dim Encryptor As ICryptoTransform Dim Buffer() As Byte Buffer = Encoding.UTF8.GetBytes(PlainText) Set Encryptor = Key.CreateEncryptor Encrypt = Encryptor.TransformFinalBlock(Buffer, 0, CorArray.Length(Buffer)) End Function ' Decrypt the byte array. Public Function Decrypt(ByRef CypherText() As Byte, ByVal Key As SymmetricAlgorithm) As String Dim Decryptor As ICryptoTransform Dim Buffer() As Byte Set Decryptor = Key.CreateDecryptor Buffer = Decryptor.TransformFinalBlock(CypherText, 0, CorArray.Length(CypherText)) Decrypt = Encoding.UTF8.GetString(Buffer) End Function ' This example produces the following output. ' ' Encrypted Data (may be different because key is generated) ' FA 5B 69 FB 30 48 B6 08 C3 68 4C 63 45 BE F9 FA 17 DC 4D B9 EC FC E7 84 3A 35 CB 41 1C 5E 1D E5 ' ' Original Data ' This is some plaintext!


Atlantis: The Lost Empire (2001) 2 stars out of 4. Featuring the vocal talents of Michael J. Fox, James Garner, Cree Summer, Leonard Nimoy, Phil Morris, Jacqueline Obradors, Don Novello, Corey Burton, Claudia Christian, John Mahoney, Jim Varney, David Ogden Stiers and Florence Stanley. Screenplay by Tab Murphy. Story by Kirk Wise & Gary Trousdale, Joss Whedon, Bryce Zabel & Jackie Zabel and Tab Murphy. Directed by Wise and Trousdale. Rate PG. Running time: 93 minutes.
Disneyís new animated adventure, Atlantis: The Lost Empire, suffers from a lack of focus.
The feature is an uneasy mix of comedy and action thriller, with a violence quotient higher than the usual Disney fare.
The body count alone should make parents think twice before allowing the young ones to visit Atlantis.
Yet the movie seems aimed at them, but the storyline and situations appear to be tilted toward an older audience.
The toll ó though no actual deaths are shown ó is high. The feature is riddled with explosions that claim scores, but it all happens so quickly that the youngest viewers may not even comprehend the consequences.
This is not your fluffy, cuddly Disney. No singing teacups, wacky wort hogs or talking apes, here.
At about 93 minutes, Atlantis begins rather slowly, building up to the action sequences. A lot of dialogue and exposition may cause the youngsters to squirm until the story picks up steam.
The animation, of course, is top-rate. After all, this is Disney. The composition is multilayered and the water looks so real you think you might be able to go for a swim. But it lacks the majestic sweep of The Lion King or the magical texture of Beauty and the Beast.
Atlantisí hero is Milo Thatch, a dreamer who wishes to follow in the steps of his famed explorer grandfather. His obsession is the lost continent of Atlantis. Milo claims he knows its location, but, of course, his ideas are ridiculed at every turn.
An old friend of his grandfatherís ó honoring a wager made with the old gent ó finances an expedition. The plot thickens as the groupís leader has a hidden agenda, a point that may be too subtle for some in the audience to immediately pick up on.
Of course, Milo unknowingly leads his band of craven mercenaries to Atlantis, and that is when the plot kicks in at full throttle. A battle sequence involving bi-planes, a hot-air balloon and futuristic-looking Atlantian airships is exciting ó even if it does feel borrowed from George Lucas ó but, again, itís a lot of death and destruction.
Atlantisí saving grace is the vocal talent of Michael J. Fox as Milo. He is a milquetoast-like hero, favoring brains over brawn. He is childlike and overly enthusiastic about fulfilling his dream of discovery.
Fox is able to convey all this, making Milo a most likable young chap.
Other voices lending themselves to the proceedings include James Garner as Commander Rourke, the expedition leader; Cree Summer as Princess Kida of Atlantis; Leonard Nimoy as the King of Atlantis; Phil Morris as Dr. Sweet, Jacqueline Obradors as Audrey, the group's precocious mechanic; Don Novello, basically reprising his Father Guido Sarducci, as explosives expert Vinny; the late Jim Varney as Cookie; and most notably, Florence Stanley, as Mrs. Packard, the droll, chain-smoking communications operator.
Though set in 1914, Atlantis is a very PC outing, with individuals from every color and gender represented.
Atlantis pales in comparison with some past Disney efforts, most notably Tarzan and The Lion King. The film does offer some spectacular animated sequences, but overall it lacks a certain spark. It's a bit hollow and flaccid.
One clue to the filmís ultimate problem is the number of credited writers. While the screenplay is credited to Tab Murphy, story credit is given to co-directors Kirk Wise and Gary Trousdale as well as Joss Whedon, Bryce Zabel, Jackie Zabel and Murphy.
The very young will view Atlantis as eye-candy, while the older kids and adults will probably appreciate the storyline and pyrotechnics.
But this is one effort that lacks that fabled Disney magical touch.
Bob Bloom is the film critic at the Journal and Courier in Lafayette, IN. He can be reached by e-mail at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>Other reviews by Bloom can be found at www.jconline.com by clicking on golafayette. Bloom's reviews also can be found on the Web at the Internet Movie Database: http://www.imdb.com/M/reviews_by?Bob+Bloom
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


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A certain gourmet donut store prides itself on being able to provide its customers with any number of donuts between 1 and 160. A customer may go to the counter and say “I want 43 donuts” and 43 donuts will appear.
The restaurant wants to package their donuts in four different sizes. Your job is to figure out what those sizes should be in order to minimize the number of packets needed to fill the average order. For starters, assume that any order between 1 and 160 is equally likely.
For example, suppose the packet sizes are 1, 5, 10, and 20. If a customer orders 48 donuts, then the number of packets required is six: two packets of 20, one of 5, and three of 1.
My recommended strategy is to try all possible different combinations of four sizes and find the best. A few observations make this fast. First, one of the sizes is constrained to be 1, so really you have to test ascending triplets of sizes between 2 and 160 only. When evaluating a triplet, include a packet of size 1, calculate the average cost, and simply keep the best.
The inner loop of this process is “calculate the average cost.” That is, given a set of four packet sizes, compute the average number of packets needed for each order. Dynamic programming works really well for this purpose. See if you can figure out how.
Here is high-level pseudo-code of one dynamic programming method.
Goal: Given four sizes 1, s1, s2, and s3, find the cost per order.
Create an array of size 160. This will be your cost array.
Initialize each entry to have infinite cost except for the entries at locations 1, s1, s2, and s3 to which you assign a cost of 1.
for entry i = 2 to 160 if cost(i) == infinite for entry j from 1 to i-1 if (cost(j) + cost(i-j)) < cost(i) cost(i) := (cost(j) + cost(i-j)) end if end for end if end for
Sum all the costs and divide by 160 to get the average cost.
This technique takes quadratic time in the maximum number of donuts, but this is fast enough for our purposes. Without using dynamic programming, one would have to work much harder.
Now that you see how to evaluate a given candidate set of packet sizes, it remains only to go through the different packet size triplet possibilities to find the best set of packet sizes.
Assuming orders for any number of donuts are equally likely, which set of packet sizes results in the minimum average number of packets required per order? What is that minimum average?
Assume that orders for any number of donuts under 50 are equally likely and are five times as likely as those over 50. So, for example, an order for 14 donuts is five times as likely as an order for 53 donuts, whereas it is equally likely to an order for 47 donuts. Which set of packet sizes gives the minimum average number of packets required per order in this case? What is that minimum average?
Assuming orders for any number of donuts are equally likely, which set of packet sizes gives the minimum average number of packets required per order? What is that minimum average?
The dynamic program given as part of the problem statement is the inner loop. The outer loop generates triplets, and then evaluates them. There are 4,019,679 triplets in all, but only 657,359 that are ascending. For each one, we evaluate the cost and try to find the minimum. This is admittedly not very cheap, but takes only a few minutes. The best set of packet sizes I could find was 1, 6, 29, and 37 having an average cost of 4.7 packets per request.
Assume that orders for any number of donuts under 50 are equally likely and are five times as likely as those over 50. So, for example, an order for 14 donuts is five times as likely as an order for 53 donuts, whereas it is equally likely to an order for 47 donuts. Which set of packet sizes gives the minimum average number of packets required per order in this case? What is that minimum average?
The same dynamic programming approach works, but the cost function has to change somewhat to reflect the change in likelihood. The way I did that was to multiply the cost of orders between 1 and 50 by five. To get the best average, divide the total cost by 360 (160 + (4 × 50)). Otherwise, nothing changes in the process. The best packet sizes are 1, 5, 12, and 32 and the average (weighted by likelihood) required number of packets is just under 4.


{{msg}}
{%endfor%} {%endif%} {%endwith%}| {{heading}} | {%endfor%}Cart | Options | |||
|---|---|---|---|---|---|
| {{val}} | {%endfor%}View Spare part Cart | View Charges Cart | Finish Work | Assign to different Employee | Unassign Job |
{% extends "base.html" %}{%block content%}
{{msg}}
{%endfor%} {%endif%} {%endwith%}| {{heading}} | {%endfor%}Cart | Options | |||
|---|---|---|---|---|---|
| {{val}} | {%endfor%}View Spare part Cart | View Charges Cart | Finish Work | Assign to different Employee | Unassign Job |


{% extends "guest_base.html" %} {% load form_tags %} {% block content %}
While trying to login via OpenID, the following error occurred:
{{error_msg}}
← try again


@sindresorhus Hi, according to linked issue yes, you should disable the cancel swap button as cancel_order is not intended to cancel the swaps, it cancels not filled orders. So you should add Cancel Order button to the my orders view if you have such.
1. buy/sell creates TakerOrder, it stays alive 30 seconds if it's not filled. Then it's converted to MakerOrder. 30 seconds is not about cancellability, it's TakerOrder timeout.
2. MakerOrder then stays active until it's filled or ca...


---
layout: post
title: The continuing of rise of the Web OS in 2008?
tags:
- Business
- Web
- Work Practices
status: publish
type: post
published: true
meta: {}
---
BBC NEWS | Technology | The technology with impact 2007
the rise of web apps that are flexible, platform-neutral and accessible from anywhere I have a net connection has made my life almost pain-free
Powered by ScribeFire.


Miami Heat vs Philadelphia 76ers: Match Preview and Predictions - 23rd November 2019
by Jason MillsMatch Details
Fixture: Miami Heat vs Philadelphia 76ers
Date & Time: Saturday, November 23rd, 2019 7:30 pm. ET.
Venue: Wells Fargo Center, Philadelphia, PA.
Last game results
Miami Heat (11-3): 116-108 win over Chicago Bulls (Friday, November 22nd, 2019)
Philadelphia 76ers (10-5): 115-104 victory over San Antonio Spurs (Friday, November 22nd, 2019)
Miami Heat Preview
The 2019 off-season was used to shake up and reform the Miami Heat Roster. New additions included four rookies and the free agent acquisition of Jimmy Butler by sign and trade with the Philadelphia 76ers. At the moment, the changes have been good for the Miami Heat who are 11-3 to start this season.
Last night, they procured their 11th win in a 116-108 victory over the Bulls for their fifth road victory of the year. Miami is now 9-1 in their last 10 games and arrives in Philadelphia on a five-game winning streak.
Key Player: Jimmy Butler
Jimmy Butler has come a long way since he was drafted in the 2011 NBA Draft’s first round. He is a 6’7 small forward/shooting guard who has significant value in the modern style of the game as he is a clutch shooter from long-range and can defend multiple positions.
He is, for the moment, has a three point accuracy of 29%. On Friday night, Butler scored 27 points, dished out 7 assists and grabbed 5 rebounds in Miami’s victory over the Chicago Bulls.
Heat’s predicted lineup
Jimmy Butler, Kendrick Nunn, Ducan Robinson, Myers Leonard, Bam Adebayo
Philadelphia 76ers Preview
The Philadelphia 76ers are expected to be a serious contender for the Eastern Conference Title in 2020. They have started this season respectably with a 10-5 record. Friday night, they beat the San Antonio Spurs 115-104.
The 76ers were led by Tobias Harris’ 26 points, a double-double by Joel Embiid with 21 points and 14 rebounds, and a Ben Simmons triple-double with 10 points, 13 assists, and 10 rebounds. The 76ers are perfect at home this season, at 6-0, and have won three straight games.
Key Player:Tobias Harris
Tobias Harris was a key acquisition by Philadelphia general manager Elton Brand last season in a deal worked out with the LA Clippers. Harris re-signed during the off-season and is again a significant contributor to the 76ers’ on-court success this campaign. He is the team's second-leading scorer averaging 17.4 points per game and is shooting at an accuracy of 48.7 percent this season.
76ers’ predicted lineup
Ben Simmons, Furkan Korkmaz, Tobias Harris, Joel Embiid, Al Horford
Heat vs 76ers Match Prediction
The 76ers were hot on Friday night in their win over San Antonio as they shot 51. 7 percent for the game. Also, they recorded 32 assists and 46 field goals, led by Ben Simmons with 10. Philadelphia will also likely be without Josh Richardson who is out with a hip injury.
The Miami Heat was also making all the right passes as they recorded 33 assists on their 39 field goals made. However, they will need to value their possessions as they turned the ball over 19 times against the Bulls.
Miami will need to do a better job of defending the painted area as they were outscored 58-44 in the paint by Chicago, Friday night. Their opponents on Saturday, Philadelphia, is sixth in the NBA averaging 51.7 points in the paint per game.
The 76ers should extend their home winning streak to seven games.
Where to watch Heat vs 76ers?
You can stream the game live online with NBA League Pass. The game can be watched on tv on NBC Sports Philadelphia and Fox Sports Sun.


When you are ready to accept a TaskRunner's offer, you will be required to pay the funds required for the task. The fee will be held securely until the task has been completed and the Task Poster releases the funds to the TaskRunner.
Once you have completed a task on TaskMatch, you will see a list of your completed payments here.
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Brand:{{ card.brand }}
Funding:{{ card.funding }}
When you are ready to accept a TaskRunner's offer, you will be required to pay the funds required for the task. The fee will be held securely until the task has been completed and the Task Poster releases the funds to the TaskRunner.
Once you have completed a task on TaskMatch, you will see a list of your completed payments here.
€{{charge.amount / 100 | number:2}}
Created:{{ charge.created }}
Status:{{ charge.status }}
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{{ charge.source.name}}
Card provider:{{ charge.source.brand }}
Last 4 digits:{{ charge.source.last4 }}
Expiry date:{{ charge.source.exp_month }}/{{ charge.source.exp_year }}


gray
Star
Server
(no longer "gray")
openStars
approximate
stellar atmosphere
and spectrum synthesis modeling in Java. User interface in JavaScript + HTML
5
.
Hover for tips.
Ctrl +/-
to zoom
You must have a JavaScript capable browser, AND JavaScript enabled, to display grayStarServer
MODEL
Input:
Show/Hide stellar
Stellar
parameters
Effective temperature,
T
eff
(3200-50000)
K
)
Log
10
surface gravity, log(
g
)
(0.0 - 7.0 cm s
-2
= dynes g
-1
)
Metal content
(log
10
0.001 - 10.0 x solar)
Microturbulence,
ξ
T
, (0.0 - 8.0 km s
-1
)
Stellar mass
(0.1 - 20.0
M
Sun
)
κ
Fudge
log
10
mass extinction (-2.0 - 2.0 log cm
2
g
-1
)
Show/Hide habitable zone
Habitable Planet Zone
parameters
Surf pressure
(5 - 6800
kPa
)
Greenhouse effect,
ΔT
(0 - 200
K
)
Albedo
(0.0 - 1.0)
Show/Hide spectrum synthesis
Spectrum synthesis parameters
Warning:
Inreasing the range between
λ
Start
and
λ
Stop
or decreasing the ratio
κ
l
/
κ
c
will increase the computing time significantly.
View the ascii line list
Minimum log
10
κ
l
/
κ
c
for inclusion (-4.0 - 6.0)
Log
10
Broadening enhancement,
γ
Extra
(0.0 - 1.0)
λ
Start
(260 -
λ
Stop
nm)
λ
Stop
(
λ
Start
- 2600 nm)
RV
(-200 to +200 km s
-1
)
v
Macro
(0 - 8 km s
-1
)
v
Rot
(0 - 20 km s
-1
)
i
Rot
(0 - 90
o
)
λ-scale in vac/air:
Vacuum
Air
Spectral line
λ
sampling:
Coarse (good for quick recon only)
Fine
Show/Hide samples
Sample pre-sets
Sample standard stars
User parameters
Sun
Vega
Regulus
Arcturus
Procyon
51 Pegasi
61 Cygni A
Sample planets
User parameters
Earth
Sample
Fraunhofer and classification spectral lines
User parameters
Na I
D
1
Na I
D
2
Mg I
b
1
Ca II
K
Ca II
H
Ca I 4227
Fe I 4045
Fe I 4271
He I 4471
He I 4387
Show/Hide performance/realism
Modeling realism
vs
performance
No. HSE-EOS-Opac iters
No. Pe-IonEquil-MolecEquil iters
TiO bands (C
3
Δ-X
3
Δ, c
1
Φ-a
1
Δ, A
3
Φ-X
3
Φ)
MODEL
Output:
Narrow band Gaussian filter
λ
, (270 - 2550 nm)
σ
, (0.005 - 10 nm)
Plots:
Spectrum synthesis (Warning: Slow)
Atmosphere
Radiation field
None
H
He
Li
C
N
O
Na
Al
Mg
Si
S
K
Ca
Ti
Fe
Co
Ni
Ionization Eq
Detailed print-out (below graphs):
None
Spectrum synthesis
Atmospheric structure
Flux spectral energy distribution (SED)
Specific intensity distribution
Limb darkening coeffs
A
12
abundances
JSON string


@@include('../html/include/head.html')
@@include('../html/include/header_pofol.html')
project
Prototype 2(MOBILE)
Prototype 3(PC)
Prototype 4(PC)
@@include('../html/include/footer.html')


Jogger
Details
oil on paper
5ftx4ft
made in 2020
by Angeline Marie Michael Meitzler
Terms and Conditions
Never Before Seen In Person is a series of paintings created and seen only by the artist.
Upon the purchase of an artwork, the new owner's name will be listed alongside the work as "The Owner". The artwork will remain in its sealed canister inside of the artist’s storage facility for the entirety of its life. When the sealed canister is exhibited publicly, the complete list of previous and current owners will be listed alongside the work.
Current Owner: Soliana Habte
Previous Owner:
Jake Versetelli
Damon Cable
Jasmine Carlo
Roundtable
Details
oil on paper
5ftx4ft
made in 2020
by Angeline Marie Michael Meitzler
Terms and Conditions
Never Before Seen In Person is a series of paintings created and seen only by the artist.
Upon the purchase of an artwork, the new owner's name will be listed alongside the work as "The Owner". The artwork will remain in its sealed canister inside of the artist’s storage facility for the entirety of its life. When the sealed canister is exhibited publicly, the complete list of previous and current owners will be listed alongside the work.


{% extends "default/base.html" %} {% block content %}
Create a GeoHolmes cache is simple : just a bunch of text files that you can write with any text editor. A full guide to explain how to create such a cache will be available soon !
Either you choose to install GeoHolmes system on a dedicated server, either you ask this website's owner to host it for you.


Last week, the party returned to Kilrein, the capital of Kilvas. They went to see the king, Reletharian, who thanked them and gave them what reward he could, given that the country was still at war. He promised that once the island was safe again, the party would have a festival in their honor1. The party spoke with Winston, who was now an advisor to the king, and learned that no one had heard anything about the aftermath of the battle between the dragons and the Moravian Empire. Someone had been killing Galian scouting parties sent into the area. However, the Galian elite troops teleported into Kilvas were making headway against the bandits. Jed's whereabouts were unknown, but the evidence suggested that he was still waging a one-man war against every bandit he met.
Overall, the world was not precisely at peace, but there were no immediate crises to attend to. Additionally, the party had recently acquired a large amount of adamantine from their battle with Torvid, which would take about two weeks to craft into suitable armaments for the party2. They decided to spend that time in Kaliatori - starting with splitting up to go to the beach and a bar. While there, the beachgoing members of the party saved a man's dog from being kidnapped3 by mermen. Lorelei and Antimony did this by brutally and messily murdering the mermen, thereby ruining the beach for everyone else, but they did save the dog.
Meanwhile, Pabst tried to bring her pet dire lion into the bar, and was stopped by a surprisingly unfazed bouncer who wrestled the lion out the door. The bargoing members of the party struck up a conversation with the bouncer, who was named Wendel4. Charmed by his gruff, matter-of-fact demeanor, his story about a drunk Reggie, and his arm-wrestling abilities, they invited him to join them on their journey to Elysium, and he agreed.
After the bar, the party spent the rest of their time in Kaliatori killing time. Pabst had a run-in with an obnoxious kid at a zoo who was bothering the animals. He dealt with it in his usual straightforward fashion, which narrowly avoided resulting in a number of deaths, but ensured that the kid would be unlikely to ever mock animals in the zoo again5. Lord Khallus made an inspiring, convincing, motivating, powerful and all around stunning speech to the king about the Lord's right to half of the island of Kilvas, but despite his rhetorical skill, the king explained that he could not in fact simply give away half of the entire island. Despite that minor setback, Lord Khallus went on to found the Lord Khallus's Little Pebbles Orphanage Home, which will help get kids off the streets and into a safe place6. Most of the party greatly enjoyed a combination winery/brewery that kept them well supplied with finely crafted alcohol.
Eventually, their time in Kaliatori came to an end. Reggie parted ways with the party, saying he was needed to help defeat the rest of Torvid's army. The party prepared to sail off in the direction of Elysium, to find the Seed Crater and finally undo the curse on the Book of Creation.
Join us this week to travel beyond the Edge of the World!


My name is Taiga Matsumoto. I currently study in Diploma of IT at QUT, and will graduate in 2020. I am from Japan, and had been Canada for 2 years. I like to play tennis and watch anime.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
For the green pepper pilau, heat the oil in a pan over a medium heat, add the shallot, garlic and green pepper and fry for 2-3 minutes, or until softened.
Add the rice and stir well to combine, then pour over the stock and bring the mixture to the boil, stirring well.
Reduce the heat until the mixture is simmering gently, then cover the pan with a lid and simmer for 12-15 minutes, or until the rice has absorbed all of the stock and is tender. Season, to taste, with salt and freshly ground black pepper.
Meanwhile, for the green pepper and squid, crush the Sichuan peppercorns, garlic and sugar using a pestle and mortar. Add the rice wine vinegar and mix to a smooth paste.
Heat the oil in a wok over a high heat. When the oil is smoking, add the green peppers and stir-fry for 1-2 minutes.
Add the spring onions and squid and continue to stir-fry for 1-2 minutes, or until the squid has just turned opaque.
Add the Sichuan peppercorn paste and mix well to coat the stir-fried ingredients, then add the water and stir-fry for a further minute, or until most of the liquid has evaporated. Season, to taste, with salt, if necessary.
To serve, place a chefs' ring into the centre of a serving plate. Fill it with the green pepper pilau, then carefully remove the chefs' ring. Repeat the process with the remaining three serving plates. Spoon the stir-fried Sichuan-style green pepper and squid mixture on top of the portions of rice. Drizzle over the wok juices.


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changes the number of retries for each call
Returns current price quote
Returns price feed history, including current price and last x prices
Returns market history from start to end split into array by bucketSeconds
0 < integer <= 86400
start date
end date
returns the current steem node
Gets account's current market orders
returns the current client options
Gets the current orderbook, up to limit
1 < limit < 500
Gets recent trades up to limit
1 < limit < 1,000
Returns current market ticker
Gets trade history from start to end, up to limit items
date
date
1 < limit < 1,000
Gets current market volume for steem & sbd
Generated using TypeDoc
Market API class takes client or creates default


The wait for The Last of Us Part II gets a bit easier with these fine art prints
The post-apocalypse has never looked so good
by Andrew WebsterWe’re still a few months away from the long-awaited debut of Naughty Dog’s The Last of Us Part II, but a new series of gorgeous art prints should make that wait a bit more tolerable for fans. The new pieces, which were created by concept artists at Naughty Dog, don’t reveal much new info about the game, but they do give a good sense of the tone, with detailed shots of people on horseback traversing moody, ruined landscapes.
The prints come courtesy of Cook & Becker, a Dutch art studio that specializes in high-quality pieces based on video games. Previously, the company has released art from Fallout, God of War, and Ni no Kuni, among many others, and assembled a sprawling art book for Final Fantasy XV. You can pick up the prints from Cook & Becker’s website starting today, and the company says they’ll be rolling out “in several drops over time.”
The game, meanwhile, will be out on the PS4 in May 2020.


Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
| Cloth | The main cloth simulation class which is mainly composed of a vector of particles, a vector of springs and a solver |
| CS::ClothInfo | A struct containing the information needed to construct a cloth object |
| GLWindow | The simulation widget that takes information from the Cloth and draws it to the screen, as well as executing the result of any user input |
| MainWindow | The main interface that contains the simulation and the UI and links them together |
| CS::Particle | A structure containing all the attributes of a particle; this is used instead of a class so its members can be accessed by a memory address and an offset |
| Solver | Does most of the "heavy lifting" of the cloth simulation, i.e. calculating the forces and positions of the cloth components |
| CS::Spring | A struct containing all the attributes of a spring; these connect the particles to form the cloth surface and apply forces to them depending on their length |
| CS::Vert | A struct containing a position and common attributes of a vertex; useful for sending to OpenGL |


"x" "1" "RASHID,KA, MULLIN,CA AND MUMMA,RO, STRUCTURE-MUTAGENICITYRELATIONSHIPS OF CHALCONES AND THEIR OXIDES IN THE SALMONELLA ASSAY, MUTAT. RES.169(3):71-79, 1986"


David James Wagner
Republican
Attorney; Self-employed. I have had my own law practice for the past 43 years.
I have a BS degree from the Air Force Academy (1969). I have a JD degree from Georgetown University Law Center (1973). I am admitted to practice law in Colorado state courts and the Colorado Federal court.
80123
My law practice involves representing corporations, both profit and non-profit. I have been general counsel to a number of companies and have incorporated many for profit and non profit companies over the past forty-five years.
I have been involved in the Republican Party for many years. I served in the White House in the Gerald Ford administration. I was a precinct leader in Cherry Hills Village from 1990 to 2009. I donated and worked on all of Bill Owens’ campaigns and have donated exclusively to Republican candidates.
I served on the Board of Trustees of the Colorado School of Mines (1999-2008) and was Vice Chairman. I served on the Board of Directors (now Board of Governors) of the Colorado School of Mines Foundation and was its Chairman for fourteen years. I continue to serve on the Board of Governors of the Foundation and have served on its Investment Committee for over twenty years. I also served on the Board of Trustees of Kent Denver School for six years and was President of the Board for four years. I served on my local HOA board for three years and was President of the Board for one year.
I believe my experience in dealing with organizations singularly qualifies me to serve on this commission. Since this will be the inaugural program for the commission, a number of precedents will be established for future operations. I believe that I can help craft those precedents.
I have extensive experience in dealing with organizations of all types and promoting governance by consensus. I am dedicated to finding practical solutions and do not have a hidden agenda.
I have been a lawyer for forty-seven years.
Male


WITNESS LIST Insurance Committee April 7, 1997-10:30A HB 1632 For: Flores, Kino (Sponsor) Grove, Lloyd (Himself) Landrie, Harley (TCPIA) Nichols, Ron (Himself) Shawn, Jim (TCPIA) HB 1662 For: Counts, David (Sponsor) HB 1680 For: Cobb, Ronald (Amer Ins Assn) HB 1755 For: Birnbaum, Birny (Himself) HB 1789 For: Birnbaum, Birny (Himself) Lambe, Dan (Himself) Schneider, Robert (Consumers Union) Against: Simpson, Robert (State Far Ins. Co.) HB 1804 For: Garcia, Carol (Resolve of Ctrl Texas) Garcia, Gabriel (Resolve of Ctrl Texas) Greenberg, Sherri (Sponsor) McPherson, Michelle (Resolve of Central Texa) Silverberg, Kaylen, Dr. (Herself) Vaughn, Thomas, M.D. (Himself) Against: Davis, Will (TALHI) Gessler, Don, M.D. (THMOA) King, Tracy (Texans for Quality Heal) Kouba, Keith (Himself) HB 1853 For: Shawn, Jim (TCPIA) Against: Thompson, Jay (AFACT) On: Anderson, Lyndon (TDI) HB 1865 For: Maxey, Glenn (Sponsor) Tooley, Kenneth (TALU) On: Davis, Will (TALHI) Myron, Rhonda (TDI) HB 1869 Against: Galvan, Gerard (Farmers Ins Group) Watkins, Robert (State Farm Ins.) HB 2033 For: Brecht, Robert, Ph.D. (Int'l Telemedicine Phys) Digneo, Robert (Southwestern Bell) Faris, Philip (Himself) Fordis, Michael, Dr. (Baylor College of Medic) Gonzalez, William, M.D. (Himself) Gray, Patricia (Sponsor) On: Cobos, Antonio (Board of Med Examiners) Crump, William (UTMB - Galveston rural) Davis, Will (TALHI) Provost, Glen (Himself) HB 2058 For: Delisi, Diane (Sponsor) Eckert, Henry (Scott and White Healthp) Montgomery, John (Scott and White Healthp) Morehead, Dave (Scott and White Healthp) Rohack, Jim, M.D. (Scott and White Healthp) Against: Gessler, Don, M.D. (PCA Health plan of Tex) McGiffert, Lisa (Consumers Union) HB 2092 For: Fuller, Pati (UNICARE) On: McGiffert, Lisa (Consumers Union) Tooley, Kenneth (TALU) HB 2180 Against: Pinkus, David (Small Bus United of Tex) Pollard, Michael (TAHLI) On: Howden, Robert (Nat'l Fed Indep Bus) HB 2221 For: Garcia, Carol (Tex Assn Ins. Officials) Mitchell, Clif (Tex Assn Ins Officials) Turner, Bob (Sponsor) HB 2404 For: Birnbaum, Birny (Himself) Cuellar, Henry (Sponsor) Schneider, Rob (Consumers Union) Against: Geiger, Richard (AFACT) Huxel, Robert (TAIA) Jorgenson, Vern (Farmers Ins) HB 2438 For: Chisum, Warren (Sponsor) HB 2774 For: Coleman, Garnett (Sponsor) Devall, Christine (Tex Mental Health Assn) Kincaid, Mark (Himself) HB 2842 For: Bond, Tom (Millers Mutual Fire Ins) Brimer, Kim (Sponsor) Keller, Joy (Herself) Against: Schneider, Robert (Consumers Union) HB 3007 For: Evers, Allison (Stewart Title Guaranty) HB 3027 For: Thompson, Jay (Medical Protective) HB 3028 Against: Schneider, Rob (Consumers Union) On: Anderson, Lyndon (TDI) Bordelon, Rod (OPIC) Presley, Phillip (TDI) HB 3031 For: Shawn, Jim (TCPIA) Thompson, Jay (AFACT) On: Anderson, Lyndon (TDI) HB 3036 For: Bond, Tom (Carmax, General Elec, A) HB 3264 For: Dutton, Harold (Sponsor) Huxel, Robert (TAIA) Langford, James (Texas Farm Bur. Compani) Thompson, Jay (AFACT) Watkins, Robert (State Farm Insurance) Against: Schneider, Robert (Consumers Union) On: Anderson, Lyndon (TDI) Bordelon, Rod (OPIC) HB 3269 For: Berlanga, Hugo (Sponsor) HB 3383 For: Shawn, Jim (TCPIA) Against: Thompson, Jay (AFACT) On: Anderson, Lyndon (TDI) HB 3453 For: Gutierrez, Roberto (Sponsor) Against: Watkins, Robert (State Farm Ins.) SB 206 For: Huxel, Robert (TAIA) Rainey, Waco (Concerned Ins Texas Agn) Tooley, Kenneth (TALU) Against: Bosse, Fred (USAA) On: Davis, Will (TALHI) Myron, Rhonda (TDI)


Network - Stats
Overview
From this interface you can view the stats for the other sites in your network. Note that only the sites for which you have selected to display stats will appear
in this interface. To view all of your network sites, use the Network > Manage Sites interface instead.
Caching
Stats from your network sites are cached for 5 minutes so that this interface can load more quickly when it is accessed repeatedly. Keep that in mind when viewing your the network stats!
You can of course refresh the stats at any time by clicking on the refresh icon in the toolbar at the bottom of the page.
Toolbar Icons
The toolbar at the bottom of this interface has a number of icons you can use to perform different actions. Those are as follows:
-
Click this icon to add a new network site. This will display a dialog where you can enter the settings for the new site.
Click this icon to refresh the stats for all of your network sites
Click this icon to edit several of your network sites at once. Use the checkboxes to select the sites you want to edit. A dialog will appear where you can select the settings(s) that you want to edit and enter the values for those settings.
Click this icon to delete several of your network sites at once. Use the checkboxes to select the sites you want to delete.
Click this icon to access this documentation file


|
Click
|
Token bucket rate limiter. More...
#include <click/tokenbucket.hh>
Public Types | |
| enum | { max_tokens = rate_type::max_tokens } |
| typedef P | parameter_type |
| The template parameter type. More... | |
| typedef TokenRateX< P > | rate_type |
| The token rate type. More... | |
| typedef TokenCounterX< rate_type > | counter_type |
| The token counter type. More... | |
| typedef rate_type::token_type | token_type |
| Unsigned type of token counts. More... | |
| typedef rate_type::time_point_type | time_point_type |
| Type of time ticks. More... | |
| typedef rate_type::ticks_type | ticks_type |
| Unsigned type of differences between time ticks. More... | |
Public Member Functions | |
| TokenBucketX () | |
| Construct an idle token bucket. More... | |
| TokenBucketX (bool unlimited) | |
| Construct an idle or unlimited token bucket. More... | |
| TokenBucketX (token_type rate, token_type capacity) | |
| Construct a token bucket representing rate. More... | |
| void | assign (bool unlimited=false) |
| Set the token bucket rate to idle or unlimited. More... | |
| void | assign (token_type rate, token_type capacity) |
| Set the token bucket rate and capacity. More... | |
| void | assign_adjust (token_type rate, token_type capacity) |
| Set the token bucket rate and capacity, preserving the token count. More... | |
| bool | unlimited () const |
| Return true iff the token rate is unlimited. More... | |
| bool | idle () const |
| Return true iff the token rate is idle. More... | |
| token_type | rate () const |
| Return the rate in tokens per period. More... | |
| token_type | capacity () const |
| Return the capacity in tokens. More... | |
| token_type | size () const |
| Return the number of tokens in the bucket. More... | |
| token_type | fraction () const |
| Return the bucket's fullness fraction. More... | |
| bool | empty () const |
| Test if the token bucket is completely empty. More... | |
| bool | full () const |
| Test if the token bucket is at full capacity. More... | |
| bool | contains (token_type t) const |
| Test if the token bucket has at least t tokens. More... | |
| bool | contains_fraction (token_type f) const |
| Test if the token bucket is above a fraction of its capacity. More... | |
| void | clear () |
| Clear the token bucket. More... | |
| void | set_full () |
| Fill the token bucket to capacity. More... | |
| void | set (token_type t) |
| Set the token bucket to contain t tokens. More... | |
| void | set_fraction (token_type f) |
| Set the token bucket to a fraction of its capacity. More... | |
| void | refill () |
| Refill the token bucket to time P::now(). More... | |
| void | refill (time_point_type time) |
| Refill the token bucket for time. More... | |
| template<typename U > | |
| void | refill (U time) |
| Refill the token bucket for time P::time_point(time). More... | |
| void | set_time_point (time_point_type time) |
| Set the token bucket's internal time point to time. More... | |
| void | remove (token_type t) |
| Remove t tokens from the bucket. More... | |
| bool | remove_if (token_type t) |
| Remove t tokens from the bucket if it contains t tokens. More... | |
| void | remove_fraction (token_type f) |
| Remove a fullness fraction from the bucket. More... | |
| bool | remove_fraction_if (token_type f) |
| Remove a fullness fraction from the bucket if it is full enough. More... | |
| ticks_type | time_until_contains (token_type t) const |
| Return the number of ticks until contains(t). More... | |
| ticks_type | time_until_contains_fraction (ticks_type f) const |
| Return the number of ticks until contains_fraction(f). More... | |
Token bucket rate limiter.
The TokenBucketX class implements a token bucket rate limiter. It is implemented as a pair of TokenRateX and TokenCounterX.
Most users will be satisfied with the TokenBucket type, which is equal to TokenBucketX<TokenBucketJiffyParameters<unsigned> >.
| typedef P TokenBucketX< P >::parameter_type |
The template parameter type.
| typedef TokenRateX<P> TokenBucketX< P >::rate_type |
The token rate type.
| typedef TokenCounterX<rate_type> TokenBucketX< P >::counter_type |
The token counter type.
| typedef rate_type::token_type TokenBucketX< P >::token_type |
Unsigned type of token counts.
| typedef rate_type::time_point_type TokenBucketX< P >::time_point_type |
Type of time ticks.
| typedef rate_type::ticks_type TokenBucketX< P >::ticks_type |
Unsigned type of differences between time ticks.
|
inline |
Construct an idle token bucket.
The initial time point is 0.
|
inlineexplicit |
Construct an idle or unlimited token bucket.
| unlimited | idle if false, unlimited if true |
The initial time point is 0.
|
inline |
Construct a token bucket representing rate.
| rate | refill rate in tokens per period |
| capacity | maximum token accumulation |
The initial time point is 0 and the token bucket is initially full (the initial token count equals capacity). The rate is idle if either rate or capacity is 0.
|
inline |
Set the token bucket rate to idle or unlimited.
| unlimited | idle if false, unlimited if true |
|
inline |
Set the token bucket rate and capacity.
| rate | refill rate in tokens per period |
| capacity | maximum token accumulation |
Sets the token bucket's rate to rate and capacity to capacity. If either rate or capacity is 0, the token bucket becomes idle. The time point is unchanged.
The ratio of tokens/burst is unchanged by the assignment, so the actual number of tokens could go up or down, depending on how the rate is changed.
|
inline |
|
inline |
Return true iff the token rate is unlimited.
|
inline |
Return true iff the token rate is idle.
|
inline |
Return the rate in tokens per period.
Returns max_tokens for unlimited rates. Imprecise computer arithmetic may cause the result to differ from the configured rate.
|
inline |
Return the capacity in tokens.
Returns max_tokens for unlimited rates. Imprecise computer arithmetic may cause the result to differ from the configured capacity.
|
inline |
Return the number of tokens in the bucket.
The return value is a lower bound on the number of tokens, since TokenBucketX keeps track of fractional tokens.
|
inline |
Return the bucket's fullness fraction.
The return value is a number between 0 and max_tokens, where max_tokens represents full capacity.
|
inline |
Test if the token bucket is completely empty.
|
inline |
Test if the token bucket is at full capacity.
|
inline |
Test if the token bucket has at least t tokens.
Returns true whenever t is zero or rate is unlimited. Returns false whenever t is greater than rate.capacity().
|
inline |
Test if the token bucket is above a fraction of its capacity.
| f | fullness fraction, where max_tokens is full capacity |
|
inline |
Clear the token bucket.
|
inline |
|
inline |
Set the token bucket to contain t tokens.
| t | number of tokens |
The result will never have more tokens than the associated capacity.
|
inline |
Set the token bucket to a fraction of its capacity.
| f | fullness fraction, where max_tokens is full capacity |
|
inline |
Refill the token bucket to time P::now().
There are three refill() methods, useful for different methods of measuring ticks. This method call parameter_type::now(), which returns the current time. Other methods use an explicit time point and a parameter_type::time(U) method.
|
inline |
Refill the token bucket for time.
Refill the token bucket for time P::time_point(time).
|
inline |
|
inline |
Remove t tokens from the bucket.
| t | number of tokens |
If the token bucket contains less than t tokens, the new token count is 0.
|
inline |
Remove t tokens from the bucket if it contains t tokens.
| t | number of tokens |
If the token bucket contains t or more tokens, calls remove(t) and returns true. If it contains less than t tokens, returns false without removing any tokens.
|
inline |
Remove a fullness fraction from the bucket.
| f | fullness fraction, where max_tokens is full capacity |
If the token counter is less than f full, the new token count is 0.
|
inline |
Remove a fullness fraction from the bucket if it is full enough.
| f | fullness fraction, where max_tokens is full capacity |
If fraction() is at least f, calls remove_fraction(f) and returns true. Otherwise, returns false without removing any tokens.
|
inline |
Return the number of ticks until contains(t).
Returns (ticks_type) -1 if passing time will never make contains(t) true.
|
inline |
Return the number of ticks until contains_fraction(f).
Returns (ticks_type) -1 if passing time will never make contains_fraction(f) true.


Over the last decade, a large ecosystem of opensource projects and commercial services have sprouted up around Selenium. This page attempts to capture some of the companies that make use of Selenium as a central part of what they do.
Open Source framework that allows users to develop automation code, create readable
keyword driven test cases and execute them across multiple machines all under a single Web interface.
Commercial platform that allows you to map selenium tests to requirements in HP ALM, run tests in IDE or CI and automatically report the test results into HP ALM, and much more.
Selenium Test Automation Training, Selenium Test Framework Design, QA Project Assistance.
*If you think you or your company should be listed here, just let us know by submitting a patch to this file. Please
add your link to the bottom of the appropriate list and in the same format as the others, otherwise your patch will be rejected.


Question 1: True or False, Ben was born in Seattle, Washington?
Question 2: Does Ben like food? (Enter 'Y' or 'N')
Question 3: What was Ben\'s first Pet? (Enter 'Dog', 'Cat', 'Bird', 'Fish', 'Velociraptor')
Question 4: Pick a number between 1 and 10:
Question 5: Pick a number between 1 and 10:
Summary:


Pixel Pal (PART 3) : Measuring model quality
Posted on Sat 11 April 2020 in Linux, HiDPI, PixelPal
Pixel Pal is a project I have started whose purpose is to bring new life to old icon themes. Many old icon themes are in raster format and are not available for HiDPI screens (their resolution are too small). Currently the only way to handle old icon themes is to resample them by the desired factor, but the icons look pixelated.
This is the third article about this project. Here are the other two:
In this part I will be talking about losses, metrics and targets. Before going on about training deep learning networks to up sample intelligently icon images, we need ways to measure if our models are doing a good job. Especially we need to know if a model does better than simply pixel doubling.
| 32x32 pixels version of the icon up sampled (pixel doubling) | 64x64 pixels version of the icon |
|---|---|
The images above show side by side the same vector icon but the left icon was rasterized as a 32 by 32 pixels image and the right icon was rasterized as a 64 by 64 pixels. Furthermore the 32 by 32 pixels was up sampled (simple pixel doubling)
As you can see the two images are similar but not identical. We need some way to measure how similar the two are. Simple counting the number of identical pixels is problematic. Because two pixels aren't identical does not mean they are not similar. Counting the number of identical pixels as a metric will probably be too critical. So for this project I will rely on two metrics suggested in the following article : An Introduction to Super Resolution using Deep Learning. The metrics in question are the following :
For information the metrics for the pair of images above are :
- Peak Signal to Noise Ratio: 16.913143157958984
- Structural Similarity : 0.8310688138008118
Measuring how similar two images are is already a good element. It provides us an idea of how well our models are working. However there are some limits to metrics:
1. Metrics are not always differentiable. However training neural networks require a way to measure the distance between the wanted output and the output the network is producing. This is where losses come into play. 2. You need to have some good baselines. In other words the metric in itself is not useful, you need to have an objectif. Something like do better than simple pixel doubling or bicubic interpolation. 3. Metrics will be sensitive to the data you use. You may land on images that are easy to upsample and the metric may be deceptively good. This is why you should compute the metrics on the entire dataset and do some statistics on it. 4. Metrics are not perfect. In the end we want something to be visually pleasing not something that maximise a mathematical function. This is why you should also visually look at the result of the neural networks.
To train the network will use a loss function. Loss function are ways to measure the distance between the ideal output and the current output. In our case we will use mean squared error as it is simple and fits our purpose. In general always make sure you are using an appropriate loss function.
In terms of baselines my objectif will be to perform better thant straight upsampling via nearest and bilinear interpolation.


Have you ever wondered how forensic analysts are able to recover deleted files on your computer?
Or simply deleted a file by accident and emptied the Recycle Bin, then cursed at yourself but still couldn't figure out how to get it back?
In this demo, we will be showing you how to perform basic file recovery, which is a branch of digital forensics, with the help of PhotoRec.
Not only can this tool recover lost pictures from digital camera memory, but it can also recover lost files of more than 480 formats, which include zip, txt, pdf and html, from a wide range of media, such as hard disks, CD-ROMs, USB memory drives and dd raw images.
Step 1: Run the command photorec_win.exe [disk_image_name].
Ensure that Desktop is the current working directory.Step 2: Select the disk image.
Step 3: Select the source partition.
Step 4: Select the file system type.
Step 5: Select a destination to save the recovered files to.
Once the files have been recovered, you will see the following screen.
Congratulations! You've recovered the deleted files successfully.


This is a small client web app used to help test the sso service setup. It assumes you are running the microservices. If you haven't done so already, you should do the following in the root of the Telescope project:
pnpm services:start
That will start the necessary services for this demo to work.
The following values were found on the query string, returned from the sso server:
When we login or logout, and get redirected back again, this is the state we expect:
The following information was included with the access token:


Possible reasons:
* You are not connected to the Internet. If this is the case, then please connect to the Internet and try again. * The URL that this installer tried to download from no longer exists. If this is the case, then please download and extract the Nginx source manually. Then restart this installer, and choose option 2 ("No: I want to customize my Nginx installation"). * The download was corrupted. Please re-run this installer; it will re-download Nginx. If this still fails, then please download and extract the Nginx source manually. Then restart this installer, and choose option 2 ("No: I want to customize my Nginx installation"). * This installer is not able to write to /tmp. Please fix the permissions for this directory, or run this installer as root.


Creates multiple, slightly jittered versions of an image. Takes an image I, and generates a number of images that are copies of the original image with slight translation, rotation and scaling applied. If the input image is actually an MxNxK stack of images then applies op to each image. Rotations and translations are specified by giving a range and a max value for each. For example, if mPhi=10 and nPhi=5, then the actual rotations applied are linspace(-mPhi,mPhi,nPhi)=[-10 -5 0 5 10]. Likewise if mTrn=3 and nTrn=3 then the translations are [-3 0 3]. Each tran is applied in the x direction as well as the y direction. Each combination of rotation, tran in x, tran in y and scale is used (for example phi=5, transx=-3, transy=0), so the total number of images generated is R=nTrn*nTrn*nPhi*nScl. Finally, jsiz controls the size of the cropped images. If jsiz gives a size that's sufficiently smaller than I then all data in the the final set will come from I. Otherwise, I must be padded first (by calling padarray with the 'replicate' option). USAGE function IJ = jitterImage( I, varargin ) INPUTS I - image (MxN) or set of K images (MxNxK) varargin - additional params (struct or name/value pairs) .maxn - [inf] maximum jitters to generate (prior to flip) .nPhi - [0] number of rotations .mPhi - [0] max value for rotation .nTrn - [0] number of translations .mTrn - [0] max value for translation .flip - [0] if true then also adds reflection of each image .jsiz - [] Final size of each image in IJ .scls - [1 1] nScl x 2 array of vert/horiz scalings .method - ['linear'] interpolation method for imtransform2 .hasChn - [0] if true I is MxNxC or MxNxCxK OUTPUTS IJ - MxNxKxR or MxNxCxKxR set of images, R=(nTrn^2*nPhi*nScl) EXAMPLE load trees; I=imresize(ind2gray(X,map),[41 41]); clear X caption map % creates 10 (of 7^2*2) images of slight trans IJ = jitterImage(I,'nTrn',7,'mTrn',3,'maxn',10); montage2(IJ) % creates 5 images of slight rotations w reflection IJ = jitterImage(I,'nPhi',5,'mPhi',25,'flip',1); montage2(IJ) % creates 45 images of both rot and slight trans IJ = jitterImage(I,'nPhi',5,'mPhi',10,'nTrn',3,'mTrn',2); montage2(IJ) % additionally create multiple scaled versions IJ = jitterImage(I,'scls',[1 1; 2 1; 1 2; 2 2]); montage2(IJ) % example on color image (5 images of slight rotations) I=imResample(imread('peppers.png'),[100,100]); IJ=jitterImage(I,'nPhi',5,'mPhi',25,'hasChn',1); montage2(uint8(IJ),{'hasChn',1}) See also imtransform2 Piotr's Computer Vision Matlab Toolbox Version 2.65 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]


---
layout: default
title: Ihilda Documentation
banner: Ihilda Documentation
doctitle: RippleLibSharp Trustline Example
usings:
[
"System.Threading",
"RippleLibSharp.Keys",
"RippleLibSharp.Network",
"RippleLibSharp.Result",
"RippleLibSharp.Transactions",
"RippleLibSharp.Transactions.TxTypes"
]
---
{% include usings.html %}
{% include networking.html %}
RippleAddress address =new RippleAddress ("" );RippleCurrency limitAmount =new RippleCurrency (1000000m ,"issuer" ,"BTC" );uint? qualityIn =null ;uint? qualityOut =null ;RippleTransaction tx =new RippleTrustSetTransaction ( address, limitAmount, qualityIn, qualityOut);


Expiry Date (MM/YYYY):
Billing Address
First name:
Last name:
Address 1:
Address 2:
City:
State:
Zip:
Country:
Ship to different address...


Photographer captures rare three-antler deer on camera
by Doug LindblomMARQUETTE, Mich. (WLUC/Gray News) - Deer season opens Friday in Michigan, but one Upper Peninsula man might have already shot a photo of the most rare deer we'll see.
Steve Lindberg, who's also a former state representative, snapped a photo of a three-antlered deer on Sunday.
He was able to get in good position to snap the picture, since the deer was busy trying to make friends with a nearby doe.
Lindberg said he's not going to disclose the location where the photo was taken, to respect the private property owners nearby, but that wasn't the only reason he gave for protecting the location.
"At the end of the day, I'll be honest with you. I'd like to get more pictures of that deer. I'd like to see if it comes back next year, so I'm kind of rooting for it to make it through deer season," Lindberg said.
For nearly seven years, he has been sharing a photo per day on his Facebook page.
The photo of the deer has been shared more than 750 times, and has led to stories in major news outlets, including the Detroit Free Press and the Washington Post.
Copyright 2019 WLUC via Gray Media Group, Inc. All rights reserved.
Read the original version of this article at uppermichiganssource.com.


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