Me too!I wanna be a super hero!
I need precision shooting...
This bow is just perfect...
Incident at Climate Change COP27 conference.
Arrows!We are under siege...
Protected with my monkey.I am safe and clean...
Direct Oppositionto Climate Change Action...
It must be Frank Stein...
I saw him with my own two eyes...
Frightening enough?No!
Federal Elections biased by authorities
Vote for change!Forward! For everyone!
With a Proposal to Amend the Constitution!
A law against Population ageing is voted.
Aging is now illegal!
Eliminate!all people over 65!
Next Year:Nobody over 55 years old!
End of Chapter.
Super Zero.


{% block script %} {% endblock %}
Landscape Map
Plot data
Location: {{ name }}
Latitude: {{ lat }}
Longitude: {{ lon }}
Size: {{ size }} km
Address: {{ address }}
Region: {{ country }}
BACK


{% extends "base.html" %} {% load render_table from django_tables2 %} {% block title %} Tournament Detail for {{ tournament.description }} {% endblock %} {% block stylesheets %} {{ block.super }} {% endblock stylesheets %} {% block header_title %}
Held {{ tournament.tournament_date }}, there were {{ tournament.total_players }} players in {{ tournament.rounds }} rounds
{{ tournament.wall_list }}


--- title: "Details about the party" layout: splash permalink: /english/party date: 2016-03-23T11:48:41-04:00 header: overlay_color: "#000" overlay_filter: "0.25" overlay_image: /assets/images/banner1.png ---
Day and time: Saturday April 7th, 2018, 20:00 hrs.
Place: Hacienda Dzibikak, Carretera Umán-Hunucmá Km 5, Dzibikak, Umán, Yucatán
How to get there: The website of the hacienda is here. The hacienda is located at approximately 40 min. from Merida but it is really easy to get there. If you are arriving by car, taxi or Uber, follow the indications to get to Uman, and once you get there you will soon see signals leading to "Hacienda Dzibikak". Google maps and Waze directions are very accurate.
Dress code: Formal. The heat is going to be intense so we suggest that men wear formal guayabera , and women wear long and light dresses. The party will take place in the garden of the Hacienda so we strongly suggest wearing wedges, sandals or flats to prevent accidents and avoid damaging the grass.
Reminders: We love kids but we ask you to leave them home. Don't forget high energy and good vibes!
Tip: Protect yourself from mosquitoes! Doctors recommend taking shots or doses of Vitamin B12 two weeks before the party as a defense action. Don't forget to use repellent.
More details about the Hacienda: Hacienda Dzibikak is located in the Umán Municipality within the town of Umán in the state of Yucatán in southeastern Mexico. It is one of the properties that arose during the nineteenth century during the henequen boom .The name (Dzibikak) is a word from the Mayan language meaning 'written with fire'. Dzibikak was a Mayan settlement that emerged five centuries ago as an agricultural trading center. Small settlements were planted with crops such as maize, beans and cotton to trade with the coastal towns for fish and salt. After the Spanish invasion, encomiendas were established in these settlement centers, which gave rise to the interior haciendas of the Hunucmá District.
Hacienda Dzibikak was operational in 1860 and in 1879 had a population of 231 people. The owner of Dzibikak in 1882 also owned Hacienda Sacnicté. In 1910 the hacienda had a population of between 200 and 400 people. With the decline of the sisal industry and a fire in the warehouse which collapsed the walls and ceilings, the buildings were abandoned.
In 2005, Richard and Lena Nichols purchased the ruins of Hacienda Dzibikak. They spent the next 6 years renovating the property which is now available for weddings, photo sessions, quinceañeras or corporate events. It has hosted a ballet with 300 attendees and is the location for the annual Mérida Music Festival.
We love the structure of this place that will serve as the stage of our special day!


Converting linear program into standard form
Linear programming is a way of achieving the maximum possible outcome from a set of resources that are represented as an integrated mathematical design.
In the technical terms the linear programming is a way to achieve optimum results from the linear programming problems. This optimization is subject to a few constraints.
Standard form of linear program:
In a standard form there is a set of p real numbers that are, another set of q real numbers that are and a set ofreal numbers that arewhere,
Now the objective is to find p real numberssuch that
Maximize
… … (1)
And that is subject to
… … (2)
… … (3)
The first expression is called the objective function. The second and the third expression show the constraints.
This way a linear program can be put into the standard form.
Process of changing the linear program into the standard form:
There might be the following reasons that prevent the linear program from being in standard form: 1. The objective function is minimized while it should be maximized for being in standard form. 2. The variable in the program do not follow the non-negativity constraint. 3. The equality constraint is not in proper form that means there might be a ‘’ sign instead of ‘’ sign. 4. The inequality constraint might not be in proper form that mean there might be a “” sign instead of “ “sign.Now, consider the below linear program:
Minimize
Subject to:
First step to convert the linear equation into standard form:
If linear program is in minimization form then convert it into maximization form by changing the sign of expression but there are no changes in subject to expression.Step 1:
Maximize
Subject to:
In above maximize expression, all variables have negativity constraint so to make those variables in non-negativity constraint; replace the variables accordingly such as:
:Step 2:
Considering the above changes, new expression becomes as
Maximize
Subject to:
Now, converting the equality sign is into inequality sign;
Step 3:
Maximize
Subject to
Now, convert the greater than or equal to constraint to less than or equal to constraint by multiplying the –1 into the constraint.
Step 4:
Maximize
Subject to
Now for consistency in variable names, rename them as below:
After combining all the steps, the following form of the expression is as:
Maximize
Subject to
Convex region: A convex region is that it fulfills the requirement that for any two points in the region all points on a line segment between them are also in the region.
Feasible region: If the constraints form a convex region, then the region formed is called feasible region and the problem will have feasible solution.
Feasible solution: Any settings of the variables that satisfy all the constraints (1), (2) and (3) is a feasible solution to the linear program.
Objective values: The values obtained by substituting the feasible solution values of the variables in the objective function are called objective values.
Optimal objective value and optimal solution: The maximum of all these objective values is called as optimal objective values and the feasible solution corresponding to these values is called as optimal solution.
Unbounded linear program: The linear program with some feasible solutions and does not have a finite optimal objective value is called as unbounded linear program.
Consider the following linear program:
maximize
subject to
Now the graph is plotted in the - Cartesian coordinate system for the constraints. The constraints are represented by the equations (1), (2) and (3).
If the graph is observed, the meshed region is the feasible region. The doted lines represent the objective function () at different feasible solutions. It is clear that the line of objective function can be moved far even parallel to itself in the direction of increasing.
Therefore, the objective value can be made arbitrarily large and the problem has no finite maximum objective value or optimal objective value. Hence, the given linear programming problem is unbounded.


suparnatural-concurrency
/
com.suparnatural.core.concurrency
/
ReadWriteLock
/
releaseReadLock
releaseReadLock
fun
releaseReadLock
(
)
:
Unit
Releases the read lock


| DOSE: T+ 0:00 |
1 tablet |
oral |
MDMA |
(pill / tablet) |
| T+ 1:30 |
1 tablet |
oral |
MDMA |
(pill / tablet) |
Ecstacy is definitely my drug of choice, though I don't do it very often. Why? 1. I think it's not good for you 2. It's expensive 3. I have a very addictive personality and 4. My last experience with it was kind of shitty. It's the kind of thing that is fun, but too fun. Know what I mean?
Anyway. My last experience with ecstacy wasn't very fond. It was Halloween night, 2002, and I decided to buy two rolls (pills) off of a friend I had rolled with for the very first time only a few months before. For two it cost $40 (the price varies), which wasn't too bad.
Since there weren't any parties worth going to, I popped them back at my dorm and chilled with my close friend J.
J had never done or seen anybody on Ecstacy before, so she thought it would be interesting to watch me. Kind of like an experiment, since she was considering trying ecstacy in the near future.
I took the first one around 11:00pm. Both of them had @ symbols stamped into them. They were pink with white dots, and one had a brown dot. I was told the white dots were cocaine and the one brown dot could possibly be heroin. I honestly don't know if that was true, which is pretty irresponsible on my part for not figuring that out before ingesting them. But oh well.
Approximately an hour and a half after I took the first one nothing was happening, which was disappointing. I contemplated whether or not they were real or just bunk. I was kind of pissed, so I took the other one. Big mistake.
 I decided to take a shower, which felt INCREDIBLE.  I thought I was the most beautiful girl alive at the time. I looked so friendly and silly with my pupils dialiated so much. I also felt very lightweight. Climbing up to my bunk bed was the easiest thing in the world.
For the next couple hours or so I spent talking nonstop, smoking cigarettes, biting on my pacifier (perfect for rolling), and cuddling with J. Making out is fun, though sex is rather difficult because it's hard to orgasm. Just being touched or touching things is great because it's magnified. Being massaged anywhere feels absolutely incredible, especially if you use Vicks Vapo-Rub. It's like, if you were to lightly touch your skin, it would feel like someone was rubbing it really fast. Warm, tingly and 'mmmmm'.
Having completely forgotten that I took a little too much for my liking, I hit my peak. My heart started racing really fast and I didn't feel so great. I decided to curl up into a little ball on my floor. J was there to keep me company and rub my back. I didn't like how fast my heart was beating -- it felt like it was going to jump out of my chest and explode.
It only got worse. At the worst part of the peak my jaw started chattering so hard it eventually locked into place. I was grinding down on my pacifyer and rocking back and forth waiting for it to pass. I kept repeating, 'Go away', not to J, but to the drug itself. I just wanted it to stop, but I knew that wasn't going to be happening anytime soon. In a panic I tried drinking water but it felt like I was drinking sandpaper.  My eyeballs felt like they were being squeezed, jiggling around in their sockets. I was extremely lightheaded and was breathing very deeply, trying to calm down and slow my heartbeat.
While all this was going down, I got very scared of dying. I kept thinking about my parents, thinking about how devestated and heart-broken they would be if they found out I died from taking drugs. J started to get a little frightened watching me blow up so hard, but she took very good care of me, telling me I wasn't going to die and that everything was going to turn out alright.
Once my peak passed I was in a state of pure bliss for the next four hours. I couldn't stop smiling and having a conversation was so enjoyable. I made perfect sense in everything I said and found myself to be incredibly articulate in speaking and word-choice. I opened myself up a lot emotionally to J. I was abnormally confident and calm. It was beautiful and the experience definitely brought us closer together.
Once the sun was starting to come up J fell asleep and I went outside and stood on the roof of the parking garage adjacent to my dormatory. There wasn't anybody else outside and people were just starting to get up and go to work. I watched the cars go by on the streets below and smoked five cigarettes back to back. They felt so good, like ice flowing in and out of my lungs. I was in a very giggly, euphoric mood. The sun was finally up and warmed my entire body. It was slightly cold outside, but the sun wrapped me in a warm blanket and I could not wipe the smile off my face.
Aside from taking a tad too much, this roll was decent. Blowing up that hard sucked though and I wish I wouldn't have gotten so impatient and taken both pills.
 For some, including myself, ecstacy can leave you feeling depressed for a few days afterwards. It sucks, but it passes over time.
Here are things I've learned that make my Ecstasy experiences better:
1. I like to be in a comfortable environment with people I trust, like close friends or even a love interest. It's nice to have someone who is willing to take care of me if I am having a bad experience.
2. I drink plenty of water before, during (if I can), and after. By not drinking enough water I put yourself at risk of dehydration and possibly overheating, which can send me on a trip to the emergency room. Not fun.
3. I like to have something to chew on since ecstacy makes my jaw clench quite a bit. A pacifyer (my personal favorite), chewing gum, a washcloth. I use something safe and tooth-friendly.
4. I shouldn't have gotten impatient and taken too much. Even if I think the stuff isn't going to kick in, I should wait at least two hours before upping my dosage.
5. I should test my pills.  I can never be 100% sure what's in your pills until I get them tested. I can test the pills myself by purchasing a kit or by taking them to a booth sponsored by DanceSafe or any other ecstacy-friendly organization. These places are often found at raves or even on college campuses.
6. I like to have some fun supplies. Vapo-Rub, menthol cigarettes, water, orange juice, glowsticks.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


[gecode-users] propagator - gist problem
Guido Tack
tack at ps.uni-sb.de
Wed Nov 19 17:45:50 CET 2008
Alberto Delgado wrote:
> I tried ES_NOFIXED and it didn't work either but i'd like to be sure
> that what i understand about each ExecStatus of a propagator is
> correct:
>
> ES_SUBSUMED = The propagator can be entailed from the store so it is
> not necessary any more.
> ES_FAILED = The propagator failed. A variable has an empty domain
> or some specific condition is fulfilled and according to me it is
> not possible to reach a feasible solution from here and i want the
> space to fail.
> ES_FIX = The propagator can't prune any more values from the
> domains (has reached a fix point) but it is not entailed yet.
> ES_NOFIX = The propagator hasn't reached a fix point yet so I want
> it to be enqueued and run again before the space reaches a fix point.
> ES_OK = No clue.
ES_OK is used when we just want to distinguish between FAILED and not
FAILED, for example in branchings. You can ignore it for propagators.
> The problem i have with Gist occurs when the propagator fails, it
> seems like i return fail but the space somehow doesn't fail at all.
I'm not sure that is what happens. I rather suspect a problem with
recomputation: when recomputing a node, Gist expects that node not to
be failed, because it wasn't failed when it was visited previously.
If you have nonmonotonic propagators, or wrongly report FIX when you
are not at a fixed point, this invariant does not hold any longer.
The non-gui search engines have been adapted to be able to cope with
non-monotonic propagators, Gist apparently isn't fully compatible
yet. If your propagator is nonmonotonic, you should think about
whether this is by design or by accident - in most cases, nonmonotonic
propagation is a bug.
Cheers,
Guido
More information about the gecode-users
mailing list


CloudTemplates can automatically rename copied items with Dynamic Rename.
CloudTemplates will search for your "find" terms in newly copied folder and file names and replace it
with your "replace" term after copy. The "replace" term
is set on the "Copy from Template" page when you're ready to copy.
For example, if you're copying a folder called "CUSTOMER_NAME Project"
you can dynamically replace "CUSTOMER_NAME" with the actual name of your customer.
The "find" terms are case-sensitive.
While in Beta, only the first level of your copied content will be affected
(not all of the copied content will be searched)


BREAKING: Rename $true-terminal-output setting to $terminal-output
when importing as a module (with @use).
Projects not using Sass modules can still
@import '<path>/sass-true/sass/true'
and access the setting as $true-terminal-output
FEATURE: Added _index.scss at the project root,
for simpler import path: @use '<path>/sass-true'
FEATURE: New sass/_throw.scss module provides:
error() function & mixin for establishing “catchable”errors
global $catch-errors toggles how error() output ishandled
FEATURE: Support testing content properties which include a curlybrace.
Update dependencies
5.0.0 (06/03/19)
BREAKING: Update API for runSass, which now accepts two arguments: a
sassOptions object and a trueOptions object.
NEW: Add contains() mixin for more minute output comparisons.
Works the same as expect(), but doesn’t require a completematch.
Update docs
3.0.2 (10/6/17)
Dependency updates
3.0.1 (9/13/17)
Update docs
3.0.0 (8/26/17)
Update dependencies &release
3.0.0-beta.1 (6/1/17)
Added describe and it mixins,
as alias for test-module and test respectively.
Added $inspect argument to assert-equal and assert-unequal mixins,
for comparing inspect($assert) == inspect($expected)
instead of $assert == $expected.
This helps with several of the equality edge-cases listed below
(rounding andunits).
BREAKING: No more Ruby gem or RubyCLI
BREAKING: No more bowerpackage
BREAKING: Removes special-handling of equality,
in favor of allowing Sass to determine the best comparisons.
There are a few edge-cases to be aware of:
In some versions of Sass,
manipulated numbers and colors are compared without rounding,
so 1/3 != 0.333333 and lighten(#246, 15%) != #356a9f.
Use the $inspect argument to compare rounded outputvalues.
In all versions of Sass,
unitless numbers are considered comparable to all units,
so 1 == 1x where x represents any unit.
Use the $inspect argument to compare output values withunits.
Lists compare both values and delimiter,
so (one two three) != (one, two, three).
This can be particularly confusing for single-item lists,
which still have a delimiter assigned,
even though it is notused.
2.2.2 (4/11/17)
assert-true returns false on empty strings andlists
assert-false returns true on empty strings andlists
Module/Test/Assertion stats are included inreports
2.2.1 (2/7/17)
Output CSS context around Mocha parsingerrors.
Added $fail-on-error argument to report() mixin.
Set to true if you need the Sass compiler to fail
on brokentests.
Fix bug with assert-false causing it to fail on null values.
Allow unquoted descriptions and test/modulenames.
Fix bug throwing off test-count andreporting.
2.1.4 (12/22/16)
Fix default assertionmessages
Upgrade dependencies
2.0.2 (5/13/15)
Fixes debug inspector.
2.0.1 (5/9/15)
Improve internal logic, and namespace private functions behind _true-*.
Add assert(), input, and expect mixins for testing CSSoutput.
Support for LibSass.
Add Mocha JS integration.
— Create NPMpackage.
Simplify output options down to single $true-terminal-output setting.
Remove default-module-output, $default-test-output and $default-final-output.
Replace them with $true settings map: (output: css, summary: terminal css).
output handles test/module output, summary handles final output.
Assertions are always output to the terminal if theyfail.
Update to use Sass mapvariables.
Add report function and report mixin, for reporting finalresults.
Only register as a compass extension if compass is present.
Compass is no longer an explicitdependency.
Adjust the output styles to work with Sass 3.4
and have more visualconsistency.
0.1.5 (6/10/13)
Append actual results to custom failuremessages.
0.1.4 (6/9/13)
Null result is considered afailure.
Allow output to be turned off for certainmodules/tests/assertions.
0.1.3 (6/7/13)
Nest assertions within test() {} named tests.
Cleaner css output.
0.1.2 (6/7/13)
Use nesting for modules with test-module() {}
Added failure message argument to allassertions.
0.1.1 (6/6/13)
Fix bug in lib/true.rb compass pluginregistration.
0.1.0 (6/6/13)
assert-true(), assert-false(), assert-equal(), and assert-unequal().
pass() and fail() for tracking and reporting individualresults.
start-test-module() and report-test-result() for moduleresults.


See this self-documenting sample HTML results file.
See this sample TSV results file.
See this sample GFF3 results file.


--- products: top_sellers: limit: {{theme_settings.side_top_products_count}} new: limit: {{theme_settings.homepage_new_products_count}} featured: limit: {{theme_settings.side_featured_products_count}} blog: posts: limit: 3 pages: 3 summary: 450 --- {{#partial "page"}} {{> components/common/breadcrumbs breadcrumbs=breadcrumbs}}


The Experience
From a different perspective
Jan. 17, 2014
Dev Bootcamp is a special place to me and I feel fortunate to have the opportunity to go through even just part of the program. What's amazing about this place is that it doesn't just produce people who can code, it produces people who will be good teammates, problem-solvers, and all around, just good people.
I'm coming into Phase 0 with a bit of a different awareness of the program, but I can't wait to see it from this angle. Want to know what I've learned about Dev Bootcamp from this video and from my time as a Career Coach here?
Dev Bootcamp has a culture like none other. It's a place where people care about each other, a place where people build deeper relationships than those of childhood friendships or even those close-knit college relationships. You become a family when you enter the Dev Bootcamp experience. You're embraced with encouragement and support. Everyone wants to see your success.
I can't imagine learning in a better environment. It's amazing how differently you look at the world after being in a place that is so focused on acceptance, diversity, and growth.
I thrive in collaborative environments and it seems that from the beginning this was its intent. Dev Bootcamp works when people work together to learn, solve, and experiment. While this is absolutely intimidating to me being that my background is in communications, branding, and people, it's also invigorating knowing that I'll be surrounded by such intelligent people with such diverse back stories.


| grid.raster {grid} | R Documentation |
Render a raster object (bitmap image) at the given location, size, and orientation.
grid.raster(image, x = unit(0.5, "npc"), y = unit(0.5, "npc"), width = NULL, height = NULL, just = "centre", hjust = NULL, vjust = NULL, interpolate = TRUE, default.units = "npc", name = NULL, gp = gpar(), vp = NULL) rasterGrob(image, x = unit(0.5, "npc"), y = unit(0.5, "npc"), width = NULL, height = NULL, just = "centre", hjust = NULL, vjust = NULL, interpolate = TRUE, default.units = "npc", name = NULL, gp = gpar(), vp = NULL)
image |
Any R object that can be coerced to a raster object. |
x |
A numeric vector or unit object specifying x-location. |
y |
A numeric vector or unit object specifying y-location. |
width |
A numeric vector or unit object specifying width. |
height |
A numeric vector or unit object specifying height. |
just |
The justification of the rectangle
relative to its (x, y) location. If there are two values, the first
value specifies horizontal justification and the second value specifies
vertical justification. Possible string values are: |
hjust |
A numeric vector specifying horizontal justification.
If specified, overrides the |
vjust |
A numeric vector specifying vertical justification.
If specified, overrides the |
default.units |
A string indicating the default units to use
if |
name |
A character identifier. |
gp |
An object of class |
vp |
A Grid viewport object (or NULL). |
interpolate |
A logical value indicating whether to linearly interpolate the image (the alternative is to use nearest-neighbour interpolation, which gives a more blocky result). |
Neither width
nor height
needs to be specified,
in which case, the aspect ratio of the image is preserved. If
both width
and height
are specified, it is likely
that the image will be distorted.
Not all graphics devices are capable of rendering raster images
and some may not be able to produce rotated images (i.e., if
a raster object is rendered within a rotated viewport). See also the
comments under rasterImage
.
All graphical parameter settings in gp
will be ignored,
including alpha
.
A rastergrob grob.
Paul Murrell
dev.capabilities
to see if it is supported.
redGradient <- matrix(hcl(0, 80, seq(50, 80, 10)), nrow=4, ncol=5) # interpolated grid.newpage() grid.raster(redGradient) # blocky grid.newpage() grid.raster(redGradient, interpolate=FALSE) # blocky and stretched grid.newpage() grid.raster(redGradient, interpolate=FALSE, height=unit(1, "npc")) # The same raster drawn several times grid.newpage() grid.raster(0, x=1:3/4, y=1:3/4, w=.1, interp=FALSE)


Home
Calculations
Graph
Introduction
Work-in-progress showcase / demonstration of jsTCI
Weight
Age
Height
Sex
Female
Male
Marsh
Schnider
Kataria
Paedfusor


def setup_platform(hass, config, add_entities, discovery_info=None):
Setup the TCP Sensor.
if not Sensor.validate_config(config):
return False
add_entities((Sensor(hass, config),))
class Sensor(Entity):
Implementation of a TCP socket based sensor.
def setup_platform(hass, config, add_devices, discovery_info=None):
Set up the TCP Sensor.
add_devices([TcpSensor(hass, config)])
class TcpSensor(Entity):


THE SCIENTIFIC METHOD
Overview
The Scientific Method is an instructional animation created for the Department of Biological Sciences Subject Matter Expert Dr. Chris Malinoski. The animation will be used as the supplementary material when giving the first class of Bio1107. It uses the experiment of rats, jazz and cocaine as the context to explain abstract notions vividly.
Role
Script wirter, Animator
Team
Claudia Nunez, Cassidy Keller, Yucheng Hang
Tool
After Effects
A LITTLE MORE ABOUT THE PROCESS
Since this is the first course students will take when they get to the Biological Science Department, Dr. Chris wanted to make it fun to lead the students into the world of biology. Therefore, after discussion, we have determined the easy-going and energetice tone and the childish and cute artstyle of the animation.
During the production process, the biggest challenge we face is in one hand keeping it simple and fun, while in the other hand convey the abstract notions accurately. I listed two examples below to get the sense.
We first decided to use a scientist avatar as a transition to enter the experiment part. However, we got the feedback that it may get people confused with inconsistent characters and since the content is already a lot, too many characters may be overwhelming to viewers. Therefore, we decided to reduce our characters to two and dress them up in scientist clothes in order to represent scientists.
Even though the artstyle is childish, when showing the first version to Dr. Chris, he wanted to keep scientific accuracy as much as possible. Therefore, we decided to add details to the rat character and also make frame by frame animation of rat movement in order to make it more realistic.
All Works
UI/UX
Web Design
Motion
Visual
Creative Coding
© Designed by Yucheng Hang


---
layout: post
status: publish
published: true
title: "
Interview with Tim Sheridan, PA Announcer
at Cubs Park
Podcast
Episode 6.03"
author:
display_name: Corey Fineran
login: Corey
email<EMAIL_ADDRESS>url: ''
author_login: Corey
author_email<EMAIL_ADDRESS>wordpress_id: 8933
wordpress_url: http://ivyenvy.com/?p=8933
date: '2014-03-06 05:00:58 +0000'
date_gmt: '2014-03-06 11:00:58 +0000'
categories:
- Podcast
- Spring Training
tags:
- Tim Sheridan
- Cubs Park
comments:
- id: 10315
author: Joshua Waltsak
author_email: ''
author_url: ''
date: '2014-03-06 16:22:51 +0000'
date_gmt: '2014-03-06 22:22:51 +0000'
content: I am listening to it on 3-6-14
- id: 10367
author: Michael Cotton
author_email: ''
author_url: ''
date: '2014-03-09 12:14:54 +0000'
date_gmt: '2014-03-09 17:14:54 +0000'
content: Yes. Another excellent interview. Tim is a great resource for Spring Training
info.
---
During this miserable winter, many of us in the midwest wish that we were in Mesa, Arizona and attending Cubs Spring Training games at the brand new Cubs Park. We have spoken with Tim Sheridan many times on the podcast, including an in-person conversation when Kurt and I were at Hohokam Stadium a few years ago. You will probably recognize Tim's voice as he is the public address announcer for Cubs home Spring Training games.
Tim also runs Boys of Spring. You won't find better photos of the action in Mesa leading up to and during Spring Training than what Tim provides at Boys of Spring. You can connect with Tim Sheridan:
Boys of Spring Website
Boys of Spring on Facebook
Boys of Spring on Twitter
Arizona Spring Training Experience
Our previous discussions with Tim Sheridan:
Episode 3.12 (March 25th, 2011)
Episode 4.04 (March 9th, 2012)
Episode 4.57 (February 19th, 2013)
Ivy Envy interviews mentioned in this episode:
Javier Baez
Albert Almora
Matt Sczcur
Dan Vogelbach


Chapter 1 Academic Integrity Resources
Department of Psychology, Brooklyn College
1.1 Outline of College guidelines:
In brief, there are two important obligations: to inform students that they need to be aware of the CUNY Academic Integrity policy, and to report suspected violations. These two obligations are described more fully below:
1.2 Syllabus Requirements
According to the Brooklyn College “Fall 2016 Obligations of the Faculty and Syllabus Preparation” document, all syllabi must include the following statement concerning Academic Integrity:
“The faculty and administration of Brooklyn College support an environment free from cheating and plagiarism. Each student is responsible for being aware of what constitutes cheating and plagiarism and for avoiding both. The complete text of the CUNY Academic Integrity Policy and the Brooklyn College procedure for policy implementation can be found at www.brooklyn.cuny.edu/bc/policies. If a faculty member suspects a violation of academic integrity and, upon investigation, confirms that violation, or if the student admits the violation, the faculty member must report the violation.”
1.3 Reporting Requirements
When a suspected violation is confirmed through investigation, or if the student admits the violation, then faculty must report the violation. The reporting process currently involves filing the FAR report (Faculty Action Report for Incidents of Academic Dishonesty.) with the College’s Academic Integrity Officer, Mr. Patrick Kavanagh (Office of the Associate Provost for Academic Programs: 3208 Boylan Hall,<PHONE_NUMBER>).
Patrick’s email is<EMAIL_ADDRESS>The language in the FAR report suggests a broader obligation to file this report whenever “a faculty member finds compelling evidence that a suspected violation of the CUNY policy on Academic Integrity has occurred”.
1.4 Reporting a suspected violation (FAR REPORT)
If you have questions about the process, Patrick is very helpful and knowledgeable and can guide you through the details. The FAR report is mostly self-explanatory and involves three sections
1.4.1 Section A: Information about the student
- fill out basic information about student name, CUNYFirst ID, email, date of incident etc.
- You are given space to “describe the incident”. You can attach an additional document if necessary
- You are required to “Indicate the outcome of your discussion of the violation with the student”. So, it is necessary to schedule a time to meet with or speak with this student.
- Section A notes that: “Evidence must accompany allegations. For plagiarism, please attach the syllabus and the assignment sheet in addition to the documentation of plagiarism, such as the Safe Assign Report or copy of the paper with portions found to be plagiarized highlighted along with the original source.”
1.4.2 Section B: Academic (Grade) Sanction
- given the option to recommend 1) failing grade on Exam/Assignment, 2) Failing grade for Course, or Other (please explain)
- required to report whether the student accepts the sanction
1.4.3 Section C: Disciplinary Complaint Option
- speak to Patrick about this one.
1.5 Helpful links:
1.6 List of websites that students may use for cheating:
Most of these websites offer a similar set of services.
- https://www.studyblue.com
- https://www.coursehero.com
- https://www.chegg.com
- https://studentshare.net
- Brooklyn College Facebook in the know (a facebook group)
- https://www.slader.com
There are many more similar kinds of sites


Jupyter Notebook for this tutorial is available here.
Intro to scikit-learn
Scikit-learn is machine learning library for Python. It includes implementation of several clustering, classification and regression algorithms. Documentation of scikit-learn gives an overview of all the algorithms available in this library. This notebook assumes that you are familiar with basics of machine learning.
In this tutorial, we learn to:
- load MNIST dataset and visualize some examples
- perform unsupervised learning using k-means clustering and spectral clustering
- perform supervised learning using classifiers
- compute classification metrics
- display confusion matrix
Import necessary modules
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from sklearn.datasets import load_digits
from sklearn import metrics
Load the MNIST Datasets
dataset = load_digits()
print "Number of Samples: %d" %len(dataset.target)
Number of Samples: 1797
print "Output Categories: %s" %dataset.target_names
Output Categories: [0 1 2 3 4 5 6 7 8 9]
features = dataset.data
print "Feature Vectors: %s" %features
Feature Vectors: [[ 0. 0. 5. ..., 0. 0. 0.]
[ 0. 0. 0. ..., 10. 0. 0.]
[ 0. 0. 0. ..., 16. 9. 0.]
...,
[ 0. 0. 1. ..., 6. 0. 0.]
[ 0. 0. 2. ..., 12. 0. 0.]
[ 0. 0. 10. ..., 12. 1. 0.]]
labels = dataset.target
print "Labels: %s" %labels
Labels: [0 1 2 ..., 8 9 8]
Divide the dataset into training and test sets
trainIdx = np.random.rand(len(labels)) < 0.8
features_train = features[trainIdx]
labels_train = labels[trainIdx]
features_test = features[~trainIdx]
labels_test = labels[~trainIdx]
print "Number of training samples: ",features_train.shape[0]
print "Number of test samples: ",features_test.shape[0]
print "Feature vector dimensionality: ",features_train.shape[1]
Number of training samples: 1442
Number of test samples: 355
Feature vector dimensionality: 64
k-means Clustering
# import modules
from sklearn.cluster import KMeans
num_clusters = 10
mdl = KMeans(num_clusters)
clusters = mdl.fit_predict(features)
fig = plt.figure(figsize=(8, 3))
for c in range(num_clusters):
ax = fig.add_subplot(2, 5, 1 + c, xticks=[], yticks=[])
ax.imshow(mdl.cluster_centers_[c].reshape((8, 8)), cmap=plt.cm.binary)
plt.suptitle('Cluster centers')
plt.show()
Spectral Clustering
from sklearn.cluster import SpectralClustering
num_clusters = 10
mdl = SpectralClustering(n_clusters=num_clusters,
eigen_solver='arpack',
affinity="nearest_neighbors")
clusters = mdl.fit_predict(features)
fig = plt.figure(figsize=(8, 3))
for c in range(num_clusters):
ax = fig.add_subplot(2, 5, 1 + c, xticks=[], yticks=[])
f = features[clusters==c,:]
cluster_center = np.mean(f, axis=0)
ax.imshow(cluster_center.reshape((8, 8)), cmap=plt.cm.binary)
plt.show()
k-Nearest Neighbor (kNN) Classification
# import modules
from sklearn.neighbors import KNeighborsClassifier
# initiate the classifier
knn = KNeighborsClassifier(n_neighbors=3)
# fit the classifier model with training data
knn.fit(features_train, labels_train)
# predict the output labels of test data
labels_pred = knn.predict(features_test)
# print classification metrics
print metrics.classification_report(labels_test, labels_pred)
# print confusion matrix
print metrics.confusion_matrix(labels_test, labels_pred)
precision recall f1-score support
0 1.00 1.00 1.00 37
1 0.93 1.00 0.96 40
2 1.00 1.00 1.00 32
3 0.97 1.00 0.99 35
4 0.97 1.00 0.99 36
5 1.00 0.97 0.99 37
6 1.00 1.00 1.00 34
7 1.00 1.00 1.00 37
8 1.00 0.93 0.96 40
9 0.92 0.89 0.91 27
avg / total 0.98 0.98 0.98 355
[[37 0 0 0 0 0 0 0 0 0]
[ 0 40 0 0 0 0 0 0 0 0]
[ 0 0 32 0 0 0 0 0 0 0]
[ 0 0 0 35 0 0 0 0 0 0]
[ 0 0 0 0 36 0 0 0 0 0]
[ 0 0 0 0 0 36 0 0 0 1]
[ 0 0 0 0 0 0 34 0 0 0]
[ 0 0 0 0 0 0 0 37 0 0]
[ 0 2 0 0 0 0 0 0 37 1]
[ 0 1 0 1 1 0 0 0 0 24]]
Support Vector Machines (SVM) Classification
from sklearn.svm import SVC # "Support Vector Classifier"
svm = SVC(kernel='linear')
svm.fit(features_train, labels_train)
# predict the output labels of test data
labels_pred = svm.predict(features_test)
# print classification metrics
print metrics.classification_report(labels_test, labels_pred)
# print confusion matrix
print metrics.confusion_matrix(labels_test, labels_pred)
precision recall f1-score support
0 1.00 1.00 1.00 37
1 0.89 1.00 0.94 40
2 1.00 1.00 1.00 32
3 0.97 1.00 0.99 35
4 1.00 1.00 1.00 36
5 1.00 0.97 0.99 37
6 1.00 1.00 1.00 34
7 1.00 0.97 0.99 37
8 0.95 0.88 0.91 40
9 0.96 0.93 0.94 27
avg / total 0.98 0.97 0.97 355
[[37 0 0 0 0 0 0 0 0 0]
[ 0 40 0 0 0 0 0 0 0 0]
[ 0 0 32 0 0 0 0 0 0 0]
[ 0 0 0 35 0 0 0 0 0 0]
[ 0 0 0 0 36 0 0 0 0 0]
[ 0 0 0 0 0 36 0 0 0 1]
[ 0 0 0 0 0 0 34 0 0 0]
[ 0 0 0 1 0 0 0 36 0 0]
[ 0 5 0 0 0 0 0 0 35 0]
[ 0 0 0 0 0 0 0 0 2 25]]
Logistic Regression Classification
from sklearn.linear_model import LogisticRegression
mdl = LogisticRegression()
mdl.fit(features_train, labels_train)
# predict the output labels of test data
labels_pred = mdl.predict(features_test)
# print classification metrics
print metrics.classification_report(labels_test, labels_pred)
# print confusion matrix
print metrics.confusion_matrix(labels_test, labels_pred)
precision recall f1-score support
0 1.00 0.97 0.99 37
1 0.91 0.97 0.94 40
2 1.00 0.94 0.97 32
3 0.92 0.97 0.94 35
4 0.97 0.97 0.97 36
5 0.97 0.97 0.97 37
6 1.00 1.00 1.00 34
7 0.94 0.92 0.93 37
8 0.86 0.93 0.89 40
9 0.96 0.81 0.88 27
avg / total 0.95 0.95 0.95 355
[[36 0 0 0 0 1 0 0 0 0]
[ 0 39 0 0 1 0 0 0 0 0]
[ 0 0 30 2 0 0 0 0 0 0]
[ 0 0 0 34 0 0 0 0 1 0]
[ 0 0 0 0 35 0 0 0 1 0]
[ 0 0 0 0 0 36 0 0 0 1]
[ 0 0 0 0 0 0 34 0 0 0]
[ 0 0 0 1 0 0 0 34 2 0]
[ 0 3 0 0 0 0 0 0 37 0]
[ 0 1 0 0 0 0 0 2 2 22]]
Artificial Neural Networks Classifier
from sklearn.neural_network import MLPClassifier
mdl = MLPClassifier(solver='lbfgs', alpha=1e-5,
hidden_layer_sizes=(5, 2), random_state=1)
mdl.fit(features_train, labels_train)
# predict the output labels of test data
labels_pred = mdl.predict(features_test)
# print classification metrics
print metrics.classification_report(labels_test, labels_pred)
# print confusion matrix
print metrics.confusion_matrix(labels_test, labels_pred)
precision recall f1-score support
0 0.95 0.95 0.95 37
1 0.56 0.38 0.45 40
2 0.00 0.00 0.00 32
3 0.74 0.89 0.81 35
4 0.94 0.86 0.90 36
5 0.33 0.35 0.34 37
6 0.74 0.94 0.83 34
7 0.40 0.86 0.54 37
8 0.29 0.12 0.18 40
9 0.62 0.59 0.60 27
avg / total 0.56 0.59 0.56 355
[[35 0 0 0 0 0 1 0 0 1]
[ 2 15 3 0 0 0 3 10 1 6]
[ 0 2 0 0 0 8 0 22 0 0]
[ 0 0 0 31 0 1 0 0 1 2]
[ 0 0 0 0 31 1 4 0 0 0]
[ 0 5 0 2 0 13 0 13 4 0]
[ 0 0 0 0 2 0 32 0 0 0]
[ 0 0 1 0 0 1 2 32 1 0]
[ 0 5 5 7 0 12 1 4 5 1]
[ 0 0 1 2 0 3 0 0 5 16]]
Decision Tree Classifier
from sklearn import tree
mdl = tree.DecisionTreeClassifier()
mdl.fit(features_train, labels_train)
# predict the output labels of test data
labels_pred = mdl.predict(features_test)
# print classification metrics
print metrics.classification_report(labels_test, labels_pred)
# print confusion matrix
print metrics.confusion_matrix(labels_test, labels_pred)
precision recall f1-score support
0 0.97 0.92 0.94 37
1 0.89 0.82 0.86 40
2 0.87 0.84 0.86 32
3 0.72 0.66 0.69 35
4 0.79 0.72 0.75 36
5 0.83 0.92 0.87 37
6 0.92 0.97 0.94 34
7 0.89 0.92 0.91 37
8 0.79 0.85 0.82 40
9 0.62 0.67 0.64 27
avg / total 0.83 0.83 0.83 355
[[34 0 0 0 0 2 0 0 1 0]
[ 0 33 1 1 2 0 1 0 2 0]
[ 0 1 27 3 0 0 0 0 1 0]
[ 0 0 1 23 0 0 0 0 4 7]
[ 1 3 2 0 26 2 0 1 1 0]
[ 0 0 0 0 1 34 0 0 0 2]
[ 0 0 0 0 1 0 33 0 0 0]
[ 0 0 0 2 1 0 0 34 0 0]
[ 0 0 0 1 1 2 0 0 34 2]
[ 0 0 0 2 1 1 2 3 0 18]]


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Rock climbing is an activity in which participants climb up, down or across natural rock formations or artificial rock walls. The goal is to reach the summit of a formation or the endpoint of a usually pre-defined route without falling. To successfully complete a climb, one must return to the base of the route safely. Due to the length and extended endurance required, accidents are more likely to happen on descent than ascent, especially on the larger multiple pitches (class III- IV and /or multi-day grades IV-VI climbs). Rock climbing competitions have the objectives of either completing the route in the quickest possible time or attaining the farthest point on an increasingly difficult route. Scrambling, another activity involving the scaling of hills and similar formations, is similar to rock climbing. However, rock climbing is generally differentiated by its sustained use of hands to support the climber's weight as well as to provide balance.
 It can be a dangerous activity and knowledge of proper climbing techniques and usage of specialised climbing equipment is crucial for the safe completion of routes. Because of the wide range and variety of rock formations around the world, rock climbing has been separated into several different styles and sub-disciplines.


The #S reader macro forces keyword names into the KEYWORD package; see Section <IP_ADDRESS> (Sharpsign S). This feature is deprecated; in the future, keyword names will be taken in the package they are read in, so symbols that are actually in the KEYWORD package should be used if that is what is desired.


PyObjC is a bridge between Python and Objective-C. It allows you to write Python scripts that use and extend existing Objective-C class libraries, most importantly the Cocoa libraries by Apple.
More information can be found on our website
The following documents are useful when you're interested in developing Cocoa applications in Python.
An overview of the PyObjC package and how to use it. Read this before you start using the package, it will help you to avoid some surprises.
This document lists the methods and classes that are not fully supported, or supported in an 'unexpected' way.
This explains how you can provide a python wrapper for an existing Objective-C class library.
This tutorial guides you though creating a Python based Cocoa application.
This tutorial teaches you how to extend you existing Objective-C based Cocoa application using Python.
The source tree includes a number of examples, see the list of examples for more information.
These documents are only relevant if you want to modify PyObjC, not if you want to write Cocoa programs in Python.
Rules for formatting code and documentation.
An overview of the implementation of PyObjC.
Describes the PyObjC Xcode templates.


Hello Lorem
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
Cash On Delivery, Time 12AM - 5PM More
Pay Online No Delivery available Collect From Shop Time 12AM - 1PM


MISSION JOURNAL
Base Station Walk-Back
Congratulations!!!
You have completed your mission!
Heart Rate
Respiration Rate
Rate of Perceived Exertion


|
Guild Wars 2 - Elite Insights
<IP_ADDRESS>+
JSON doc
|
Base class for Players and NPCs More...
Properties | |
| string | Name [get, set] |
| Name of the actor More... | |
| int | TotalHealth [get, set] |
| Total health of the actor. -1 if information is missing (ex: players) More... | |
| uint | Condition [get, set] |
| Condition damage score More... | |
| uint | Concentration [get, set] |
| Concentration score More... | |
| uint | Healing [get, set] |
| Healing Power score More... | |
| uint | Toughness [get, set] |
| Toughness score More... | |
| uint | HitboxHeight [get, set] |
| Height of the hitbox, please not that the center of the box is at the feet of the agent More... | |
| uint | HitboxWidth [get, set] |
| Width of the hitbox More... | |
| ushort | InstanceID [get, set] |
| ID of the actor in the instance More... | |
| ulong | TeamID [get, set] |
| The team ID of the actor. Mainly useful for WvW logs to differentiate targets from different servers. In PvE logs, the situation is always a simple Friend vs Foe situation. \ If value is equal to 0 then no information regarding TeamID was present for given actor. More... | |
| IReadOnlyList< JsonMinions > | Minions [get, set] |
| List of minions More... | |
| bool | IsFake [get, set] |
| Indicates that the JsonActor does not exist in reality More... | |
| IReadOnlyList< JsonStatistics.JsonDPS > | DpsAll [get, set] |
| Array of Total DPS stats Length == # of phases More... | |
| IReadOnlyList< JsonStatistics.JsonGameplayStatsAll > | StatsAll [get, set] |
| Stats against all Length == # of phases More... | |
| IReadOnlyList< JsonStatistics.JsonDefensesAll > | Defenses [get, set] |
| Defensive stats Length == # of phases More... | |
| IReadOnlyList< IReadOnlyList< JsonDamageDist > > | TotalDamageDist [get, set] |
| Total Damage distribution array Length == # of phases More... | |
| IReadOnlyList< IReadOnlyList< JsonDamageDist > > | TotalDamageTaken [get, set] |
| Damage taken array Length == # of phases More... | |
| IReadOnlyList< JsonRotation > | Rotation [get, set] |
| Rotation data More... | |
| IReadOnlyList< IReadOnlyList< int > > | Damage1S [get, set] |
| Array of int representing 1S damage points Length == # of phases More... | |
| IReadOnlyList< IReadOnlyList< int > > | PowerDamage1S [get, set] |
| Array of int representing 1S power damage points Length == # of phases More... | |
| IReadOnlyList< IReadOnlyList< int > > | ConditionDamage1S [get, set] |
| Array of int representing 1S condition damage points Length == # of phases More... | |
| IReadOnlyList< IReadOnlyList< double > > | BreakbarDamage1S [get, set] |
| Array of double representing 1S breakbar damage points Length == # of phases More... | |
| IReadOnlyList< IReadOnlyList< int > > | ConditionsStates [get, set] |
| Array of int[2] that represents the number of conditions Array[i][0] will be the time, Array[i][1] will be the number of conditions present from Array[i][0] to Array[i+1][0] If i corresponds to the last element that means the status did not change for the remainder of the fight More... | |
| IReadOnlyList< IReadOnlyList< int > > | BoonsStates [get, set] |
| Array of int[2] that represents the number of boons Array[i][0] will be the time, Array[i][1] will be the number of boons present from Array[i][0] to Array[i+1][0] If i corresponds to the last element that means the status did not change for the remainder of the fight More... | |
| IReadOnlyList< IReadOnlyList< int > > | ActiveCombatMinions [get, set] |
| Array of int[2] that represents the number of active combat minions Array[i][0] will be the time, Array[i][1] will be the number of active combat minions present from Array[i][0] to Array[i+1][0] If i corresponds to the last element that means the status did not change for the remainder of the fight More... | |
| IReadOnlyList< IReadOnlyList< double > > | HealthPercents [get, set] |
| Array of double[2] that represents the health status of the actor Array[i][0] will be the time, Array[i][1] will be health % If i corresponds to the last element that means the health did not change for the remainder of the fight More... | |
| IReadOnlyList< IReadOnlyList< double > > | BarrierPercents [get, set] |
| Array of double[2] that represents the barrier status of the actor Array[i][0] will be the time, Array[i][1] will be barrier % If i corresponds to the last element that means the health did not change for the remainder of the fight More... | |
| JsonActorCombatReplayData | CombatReplayData [get, set] |
| Contains combat replay related data More... | |
Base class for Players and NPCs
|
getset |
Array of int[2] that represents the number of active combat minions
Array[i][0] will be the time, Array[i][1] will be the number of active combat minions present from Array[i][0] to Array[i+1][0]
If i corresponds to the last element that means the status did not change for the remainder of the fight
|
getset |
Array of double[2] that represents the barrier status of the actor
Array[i][0] will be the time, Array[i][1] will be barrier %
If i corresponds to the last element that means the health did not change for the remainder of the fight
|
getset |
Array of int[2] that represents the number of boons
Array[i][0] will be the time, Array[i][1] will be the number of boons present from Array[i][0] to Array[i+1][0]
If i corresponds to the last element that means the status did not change for the remainder of the fight
|
getset |
Array of double representing 1S breakbar damage points
Length == # of phases
If the duration of the phase in seconds is non integer, the last point of this array will correspond to the last point
ex: duration === 15250ms, the array will have 17 elements [0, 1000,...,15000,15250]
|
getset |
Contains combat replay related data
|
getset |
Concentration score
|
getset |
Condition damage score
|
getset |
Array of int representing 1S condition damage points
Length == # of phases
If the duration of the phase in seconds is non integer, the last point of this array will correspond to the last point
ex: duration === 15250ms, the array will have 17 elements [0, 1000,...,15000,15250]
|
getset |
Array of int[2] that represents the number of conditions
Array[i][0] will be the time, Array[i][1] will be the number of conditions present from Array[i][0] to Array[i+1][0]
If i corresponds to the last element that means the status did not change for the remainder of the fight
|
getset |
Array of int representing 1S damage points
Length == # of phases
If the duration of the phase in seconds is non integer, the last point of this array will correspond to the last point
ex: duration === 15250ms, the array will have 17 elements [0, 1000,...,15000,15250]
|
getset |
Defensive stats
Length == # of phases
|
getset |
Array of Total DPS stats
Length == # of phases
|
getset |
Healing Power score
|
getset |
Array of double[2] that represents the health status of the actor
Array[i][0] will be the time, Array[i][1] will be health %
If i corresponds to the last element that means the health did not change for the remainder of the fight
|
getset |
Height of the hitbox, please not that the center of the box is at the feet of the agent
|
getset |
Width of the hitbox
|
getset |
ID of the actor in the instance
|
getset |
Indicates that the JsonActor does not exist in reality
|
getset |
List of minions
|
getset |
Name of the actor
|
getset |
Array of int representing 1S power damage points
Length == # of phases
If the duration of the phase in seconds is non integer, the last point of this array will correspond to the last point
ex: duration === 15250ms, the array will have 17 elements [0, 1000,...,15000,15250]
|
getset |
Rotation data
|
getset |
Stats against all
Length == # of phases
|
getset |
The team ID of the actor.
Mainly useful for WvW logs to differentiate targets from different servers.
In PvE logs, the situation is always a simple Friend vs Foe situation. \ If value is equal to 0 then no information regarding TeamID was present for given actor.
|
getset |
Total Damage distribution array
Length == # of phases
|
getset |
Damage taken array Length == # of phases
|
getset |
Total health of the actor. -1 if information is missing (ex: players)
|
getset |
Toughness score


Providing an IoT device that keeps track of the biodiversity in your area.
An easy to use platform to validate your data in a fun way.
Everything we make is available for anyone to reuse and is easy to set up.
Fix an annoying bug or add new awesome features for our app, IoT, ... on Github.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
For the veal, season the veal chops with salt and freshly ground white pepper.
Heat 25g/1oz of the butter in a large, heavy-based pan over a medium heat for 1-2 minutes, or until it is foaming and has turned golden-brown.
Add the seasoned veal chops and fry for one minute on each side, or until browned on both sides.
Reduce the heat, then continue to cook the veal chops for 3-4 minutes on each side (for medium), or until cooked to your liking. When the veal chops are cooked, remove them from the pan and set aside to rest on a warm plate.
Drain the butter from the pan the veal chops were cooked in, then add the chicken stock and bring it to a simmer. Continue to simmer the chicken stock until it has thickened and the volume of liquid has reduced by half (reserve these pan juices).
Meanwhile, in a bowl, mix the remaining 50g/2oz of softened butter into a bowl with the chopped herbs and lemon juice until well combined. Season, to taste with salt and freshly ground pepper, then set aside.
Meanwhile, for the summer vegetables, bring a pan of salted water to the boil, add the chopped lettuce leaves and boil for one minute, or until just tender. Drain well.
Heat the butter in a frying pan over a medium heat. When the butter is foaming, add the stock, peas, broad beans, spring onions and cooked lettuce and bring the mixture to a simmer. Continue to simmer for 2-3 minutes or until the vegetables are tender and the majority of the liquid has evaporated. Set aside and keep warm.
Meanwhile, for the potatoes, place the cooked, skinned potatoes onto a plate and crush lightly with the bottom of a ramekin or bowl (NB: Don't crush the potatoes too much - they should keep their shape). Season, to taste, with salt and freshly ground white pepper.
Sprinkle the chopped spring onions and chopped bacon over the crushed potatoes, then drizzle over the melted butter. Cover the plate with cling film and microwave on full power for two minutes, or until the bacon is cooked and the ingredients are completely heated through.
To serve, divide the summer vegetables and the crushed Jersey Royals equally among four serving plates. Place one cooked veal chop on top of each serving. Place a teaspoonful of the reserved herbed butter on top of each veal chop. Drizzle the reserved pan juices around the edge of the plate.


{% extends 'base_email.html' %} {% block preheader %}Application submission email for {{ h_name }}{% endblock %} {% block content %}
Well done {{ name }}!
Thanks for applying to {{ h_name }} 2020! You are now a step closer to this amazing adventure. We are so happy that you have decided to join us on this journey!
Your application has now been successfully submitted, so it can be thoroughly reviewed by our team in the next few weeks. Once it is assessed, we will notify you of its status and ask you to confirm or cancel the invitation.
Meanwhile, here is a happy doggo for a lovely day!
{% include 'mails/include/email_image.html' with url='https://hackkosice.com/wp-content/uploads/2019/11/winking.gif' %}
{% include 'mails/include/closing.html' %} {% endblock %}


Report treasure
You must report treasure to the local coroner within 14 days of finding it.
You only need to report items officially defined as treasure.
There’s an unlimited fine or up to 3 months in prison for not reporting treasure.
You can voluntarily report items to the Portable Antiquities Scheme if they aren’t treasure but are still of cultural or historical interest. This is to help keep a record of all finds in England and Wales.
There are different rules for Scotland and Northern Ireland.
After a find is reported
A local Finds Liaison Officer will contact you to talk about how and where you made the find and to give you a receipt.
They’ll write a report on the find. Museums can express an interest in it if it’s treasure.
The coroner will then hold an inquest. You may be invited to the inquest, along with the site occupier and landowner of where the treasure was found, and given the opportunity to ask questions.
If a museum wants the treasure
The Treasure Valuation Committee will decide how much the treasure is worth and how much will go to anyone entitled to a share of the find.
You’ll have the chance to comment on the valuation, along with the site occupier and landowner, or send your own valuation for the committee to consider.
You can also ask the committee to review any decision about the value of the find, or appeal to the Department for Culture Media and Sport (DCMS) if they still disagree after a review.
Who gets a share of the reward
You may get a share of the reward if you’re:
- the finder, and had permission to be on the land and acted in good faith
- a person or organisation with freehold on the land
- someone who occupies the land as a tenant of the owner
Archaeologists aren’t entitled to a share of any reward. If you act in bad faith (for example by trespassing or trying to hide the find) you may get a reduced share of the reward, or none at all.
It can take up to 1 year from when the treasure was found until the reward is paid (it’s longer for large or disputed finds).
If the find doesn’t count as treasure or no museum wants it
The items will be returned to you, and the landowner and site occupier informed. They have the chance to object within 28 days.
The coroner will keep the find until any disputes are resolved.
Further help and information
Contact the British Museum for more information about finding treasure.
British Museum Portable Antiquities Scheme
<EMAIL_ADDRESS>020 7323 8611
You can also contact the British Museum about a specific treasure find.
British Museum Treasure Registry
<EMAIL_ADDRESS>020 7323 8611
Contact DCMS to appeal a decision made by the Treasure Valuation Committee.
DCMS
<EMAIL_ADDRESS>020 7211 6200
Monday to Friday, 9am to 5pm
Find out about call charges.
-
Step 1 Check if the item you've found is treasure or wreck
You need to check if what you've found counts as treasure or wreck material.
-
Step 2 Report treasure to the local coroner
You must report treasure to the local coroner within 14 days of finding it.
The Portable Antiquities Scheme can help you report treasure and archaeological finds.
-
or Report wreck material to the Receiver of Wreck
You must report wreck material to the Receiver of Wreck within 28 days of finding it.


--- layout: default title: About ---
Hi there! Welcome to my blog.  Since 2016, I've been deep in the autonomous vehicle space and have been working on general perception & state estimation/localization for robotics. Occasionally, I do consulting work and enjoy solving challenging business problems.
My problem solving toolbelt includes:
If you're in Palo Alto, shoot me a message; I'd be happy to grab coffee.
I love to learn. Constantly trying to understand more and also be better understood. This blog will be my scratchpad and I'll blog about projects I find interesting.
Find me on all the social sites and feel free to connect.


Intro | Version 1 | Version 2 | Viewer 1 | Collaboration
Revisiting the requirements, the first two have been met (with some fudging). But what about the others?
In this section I will take a look at requirements 3-8.
IIIF has great potential to encourage the extension of hyperlinking into the digital object. Often a digital object is presented in a black box - the viewer; the web stops at its borders and something else takes over, isolated and disconnected. IIIF makes the digital object and its parts, at any level of granularity, part of the web too. The markup of the web page gives way to a more specialised but in fact simpler markup: the IIIF Presentation model. That model is an assembly of web standards, we don't need to leave hyperlinks at the door.
Some examples of hyperlinking in IIIF:
A hyperlink in IIIF is just an annotation with the motivation linking
. At its simplest
it could be a link from a region of a canvas, to another manifest:
{
"id": "http://example.org/linking-anno",
"type": "Annotation",
"motivation": "linking",
"label": "Click me",
"body": {
"id": "https://example.org/manifest1",
"type": "Manifest"
},
"target": "http://example.org/canvas1#xywh=1000,1000,400,50"
}
Sometimes you might want to link from a region of one canvas in one work to a region of another canvas in another work. This needs a bit more information:
{
"id": "http://example1.org/linking-anno",
"type": "Annotation",
"motivation": "linking",
"body": {
"id": "http://example2.org/canvas1#xywh=300,300,400,400",
"type": "Canvas",
"partOf": {
"id": "https://example2.org/manifest1",
"type": "Manifest"
}
},
"target": {
"id": "http://example1.org/canvas1#xywh=1000,1000,400,50",
"type": "Canvas",
"partOf": {
"id": "https://example1.org/manifest1",
"type": "Manifest"
}
}
}
Neither the W3C or IIIF specifications describe what the user experience of such a link is. By default we could let the rendered linking annotation behave as a regular HTML hyperlink - allow the browser behaviour to take over - have CP render it as a hyperlink, or have a click on it produce the same result:
location.href = anno.body.id;
That would work for some things but not others. Canvas Panel needs to be a bit cleverer than that. If the link is to another IIIF resource, or part of that resource, do we want to load that resource straight into Canvas Panel? Sometimes we might, but for a complex digital object in a viewer, that won't work; we're more likely to want to re-initialise our viewer with the new manifest and then navigate it to the correct location. In the Galway example the viewer shows an interstitial dialogue, alerting the user to the fact that they are navigating away from the current object, but also offering a preview of that object in-situ. In the Royal Academy example the links are like more conventional web links. They go to parts of web pages, not parts of IIIF resources.
The most flexible approach is for Canvas Panel to fire an event.
Event model for hyperlinking:

The doSomethingWithLinkingAnno
function can handle the click, whenever the user clicks an annotation.
The event
arguments include the linking annotation body (already mormalised to the W3C model) for the viewer code
to process. If reproducing the Galway example, the viewer would use the information to overlay the modal
dialog on top of Canvas Panel.
There is a problem with all this. Where did the hyperlinks come from? How did Canvas Panel get hold of them? In the viewer example we were talking about the textual content of canvases, and loading that lazily. But here we would have had to have loaded the annotation collections containing the hyperlinks as part of the initialisation of Canvas Panel. This suggests that Canvas Panel should start loading linked resources regardless, because it doesn't know what it's going to find or what we're going to ask it to do with them.
Maybe both modes need to be supported. After all, for a single canvas the actual size (i.e., in bytes) of linked annotation lists aren't likely to be very large. Smaller than a typical set of tile requests to show the actual content. And, the viewer might wish to take control of loading behaviour for annotations, and whether linking annotations should be rendered, and so on:

A linking annotation is the very simplest example of an annotation collaboration. So far, CP just passed the annotation body as an event argument, so the viewer code can take over - follow the link, load more IIIF, whatever. And in the earlier text content example, CP didn't know about the annotations at all, it wasn't responsible for rendering them: the viewer was, in an external text panel or component. It didn't even need to load them.
Let's combine these two approaches a little. If we let CP load annotations anyway, even if at first we'll render them ourselves externally, then CP has an internal model of all the annos that might be on the canvas, that it might need to produce some sort of visual representation of, depending on further user interaction.
As well as passing the annotation body in the linkClick event argument (some normalised P3/W3C JSON), we can also pass an object that represents CP's rendering (or potential rendering) of the annotation, for the viewer to control.
function doSomethingWithLinkingAnno(e){
// this is the raw annotation, it looks the JSON, but normalised
console.log(prettyPrint(e.annotation));
// and this is an API into CP's rendering of that anno:
e.element.style.border = "..."; // is it just DOM element?
}
Is that second element just passing through the DOM element from the Web Component's shadow DOM, for us to influence? Or is it something else - instead of, or as well as, the bare DOM element? What other API do we need? It may not actually be a DOM element until we asked for it. If it's a linking annotation, CP will probably have made a DOM element to highlight it and be clicked on, but what about other forms of annotation? Single words or lines of transcription? They may not need DOM elements until we want to do something with them from outside.
This brings us to the next requirement: Highlight the text on the canvas when I select it in the text panel.
In the original text example, I just built up the text by concatenating the text content of the annos to a string (my helpers method is very dumb):
s += res.resource.chars + "
\r";
But if instead my helpers.getTextForCanvasAsHtml(..)
function built some more sophisticated HTML, that
included an element corresponding to the text body of the annotation with some form of data-xxx identifier for
the id of the annotation, then I have a means of interacting with CP's rendering of that annotation.
My helper method loaded the external annotations to build the HTML text, but CP has also loaded the external annotations (because I
told it to in the options). Now, we may have to come back and deal with (optimise) the fact that both my viewer and CP are loading
the annotations, each for its own purposes. But the end result is that my viewer logic has built some complex HTML in its
text panel (via a helper), and if a user interacts with that HTML they are interacting with DOM elements that record an annotation
id.
So, if a user starts selecting text in the text panel, they are selecting HTML elements that carry annotation identifiers.
Which means I can tell CP to highlight the annotations for those identifiers; it loaded the annos too and is storing an internal representation of them. This gives us our feature requirement. How CP does this is for later consideration (it may not need to create DOM elements up front, it just does that as they are highlighted).
This gives us a suggestion for our next requirement: Display text transcriptions overlaying the canvas, as an option.
If CP can highlight the annotation, then it can render that box with text in it. The way I would probably want to do this goes back to the tabs or drop down approach for dealing with all the linked annotations for the canvas in my viewer. My viewer may not know exactly what each tab's content represents (transcription, comments etc), although it can get clues from the motivations. But as a human user, I can see what these things are. I could recognise one of the tabs as the text content of the page. And I could click something that says "overlay". When I click this, my viewer code takes the id of the annotation collection that corresponds to that tab, and does one of two possible things:
That is, it makes sense for CP to have this ability, to render text content in place in its right target boxes. All we're really doing is turning on an annotation layer from the point of view of the viewer, we're controlling what of its content CP is showing at any one time. It's job is to show text content too.
So A CP requirement is that it renders text layers in place... not like the way Mirador 2 does it, as boxes with tooltips. That approach may be appropriate for commenting annotations, but not actual textual content (supplementing annos) that might be in the image itself. When a text layer is enabled in this way, CP supports text selection for copying and pasting. It also needs to offer enough style control (through CSS and/or options) to "knock back" the image so the text can be clearly seen. Perhaps there are various opacity levels that can be set to make this work.
And what about comments and other annotations? There may be many types of annotations in the various tabs of the viewer. Linking, transcriptions (supplementing), comments, some specialist annotations that came out of a crowdsourcing project. From this discussion we see that we want rendering control over these off the canvas, through helpers, in our viewer. But we also want to activate them for display, in Canvas Panel, either at the Annotation Collection level (turn on an entire layer) or at the individual annotation level (select some text, highlight a comment). Perhaps CP and the viewer are using the same helper library under the hood to do their respective bits, but they aren't necessarily aware of this. There are things the viewer wants to do with annotations, and things the viewer wants CP to do with annotations.
// ... click something in the viewer's tab:
cp2.showAnnotationCollection("https://example.org/id123/transcription", options);
// ... click something in the viewer's tab:
cp2.hideAnnotationCollections();
cp2.showAnnotationCollection("https://example.org/id123/commentary", options);
// retrieve CP's model of an individual annotation
let myAnno = cp2.annotations["https://example.org/id123/commentary/anno12"];
myAnno.element.style.border = "...";
console.log(prettyPrint(myAnno.annotation)); // the JSON
In practice, a much richer API event model is exposed for CP to bubble up activity to the viewer. Actions such as:
The options passed to CP determine whether it loads and builds enough to track and fire all these events. This kind of model allows a viewer to offer sophisticated interactions.
Note - what is the relationship of CP and Annotation Studio? Annotation studio uses this CP too:
We have the ability to control CP's rendering of linked annotations - transcriptions, comments etc. But we also need
to cover the basics of painting
annotations; the direct content of the canvas, linked through the
canvas.items
property.
We'll come back to non-image painting content later (AV). For now, I'll concentrate on images. But the same principles apply. There are two ways in which multiple images are typically applied to a canvas.
Firstly, simply by having more than one image. This could be the stitching together of different photographs of a dispersed work, or for any other content composition reason. The job of CP is very clear - it should show all the images, with a z-index implied by their serialisation order. If Image 2 comes after Image 1, and partly overlaps it, then it occludes it. CP does not need to offer any control of this process to the containing application, or for the containing application to offer user interface.
Mirador 2 calls multiple images "layers" and offers UI control of them. While this may be occasionally useful, it is not
the intent of the spec, and should not be the intent of publishers. Manual control over image display is reserved for the
second type, use of a Choice
annotation.
Choice
is for things like multispectral image stacks, or foldouts or flaps where there are two views of
the same canvas. In this scenario, the viewer does need to present UI for the user to make that choice.
This is the scenario that Mirador's layers UI is for, not the general content accumulation that it also gets triggered for.
What does this mean for the API of CP?
For the first type of content, consumers don't really need to know what's going on. If they are interested they can look at the annotations themselves. Otherwise, they can rely on CP to render multiple images correctly, each with their own tile sources when supplied. CP "just works".
For the second kind of content, CP can render the default behaviour, but then requires further instruction to show and hide the available choices. A viewer has to know what choices are available. My demo viewer didn't support this. But let's borrow Mirador's UI, which offers the available images in a tab, with preview. Mirador also offers opacity control, very useful for many image choice scenarios. So we're going to want to be able to drive the correct behaviour in CP for that kind of use.
We could get CP to fire an event when it detects that a Choice UI is required. Or we could just interrogate it.
cp2.addEventListener("canvasReady", makeAnyAdditionalUI);
function makeAnyAdditionalUI(e){
if(cp2.choices){
// we have at least one annotation whose body is a Choice
for (let choiceAnno of cp2.choices){
// each choiceAnno may have many images.
addChoiceUI(choiceAnno);
}
}
}
In practice a viewer will maintain enough state, or bind the choice elements to UI, to track this visibility of the various possible images. When an image choice is made in the containing viewer, the choice can be communicated to CP:
// two IDs are required - the content might be in use in more than one annotation
cp2.setChoiceVisibility(choiceAnnoId, contentId, options);
// here options could include things like opacity, border highlights, etc.
Canvas Panel doesn't really need any particular API to implement all the other types of complex content association. These
are the types described in Section 6
of the 2.1 specification, and will be described in the new Cookbook accompanying
the Presentation 3.0 specification. Excpet where they are also part of a Choice
content annotation, CP should
jjst get on with rendering them.
While it's very likely that people will want to use frameworks like React and Vue.js to build viewers and tools with Canvas Panel, it is not itself opinionated about frameworks. It binds happily to any. It doesn't depend on any framework at all, it is completely self contained (though may require polyfills). That is, it isn't Reast under the hood pretending to be frameworkless - it's just web components, and additional libraries for content rendering.
This may make Canvas Panel a bit more fundamental than it could be, and make some development of its features take a bit longer than they otherwise might. But it's essential for general adoption that you can build viewers using it alone, and incorporating a variety of programming styles. You might call the style exhibited in my examples a a naive procedural style, which I migth want to abandon for a more modern reactive approach, or binding frameowrk approach as my requirements become more complex.
But it's important that I can use CP in this simple style, without a framework.
And it's important that React developers have a nice experience of it too.
And it's important that Vue.js developers have a nice experience too.
What about use of CP in a progressive enhanceent web application? What is its minimum viable rendering?
That's an interesting question. it may be that CP is inherently NOT present in the "first phase" of a progressively enhanced web application, it's only going to come in when bandwidth and JS support allow. But this depends on what you mean by progressive enhancement in the context of representation of digital objects. In this scenario, bandwidth usage and feature support are often diametrically opposed:
As a web component, CP could actually be a great help for both types of progressive enhancement. The CP implementation used in the earlier viewer example is tiny, a few dozen lines of JavaScript, and results in something that only loads static images (no deep zoom, no complex content interactions). As long as it manages its own loading of additional libraries, this approach could make it much easier to enforce progressive enhancement good practice (assuming you still support JavaScript).
CP doesn't need the functionality of OSD. It could load in a much more lightweight, IIIF-only tile source engine. And could use HTML5 for AV. A frameworkless, fully featured CP need not be huge. And it may be sharing some common libraries with other components and the parent viewer that's using them.
Next - dependency and interactions between CP, libraries and other components.


--- layout: page title: ACF Regionals 2011 date: 2010-09-08 02:54:48.000000000 -05:00 type: page parent_id: '348' published: true password: '' status: publish categories: [] tags: [] meta: _edit_last: '16309375' _wp_page_template: default geo_public: '0' author: login: acfquizbowl email<EMAIL_ADDRESS>display_name: acfquizbowl first_name: '' last_name: '' permalink: "/archives/archived-tournament-announcements/acf-regionals-2011/" ---
NOTE: THIS IS AN ARCHIVED PAGE
ACF Regionals 2011 will take place on the weekend of February 26, 2011. (Link to the global announcement.)
Editors
Editor-in-Chief: Rob Carson (University of Minnesota)
Assistant Editors: To be announced.
Hosting
If you are interested in hosting, please read through the official ACF Hosting Guide and then email Rob Carson at<EMAIL_ADDRESS>Packet Submission
As per the ACF submission rules, any team with at least one person on it who played a regular, collegiate, academic quizbowl tournament prior to September 1, 2009 is required to submit a packet in order to participate in an ACF tournament in 2010-2011. Teams required to submit packets who do not submit one by the final deadline will be dropped from the tournament.
Submission schedule and additional discounts:
This year's submission schedule is as follows:
Packet submitted before 11:59 PM on:
Sept 19, 2010: -$50
Sept 26, 2010: -$25 (-$50 for teams not required to submit packets)
Oct 10, 2010: No penalty (-$25 for teams not required to submit packets)
Oct 17, 2010: +$25
Oct 24, 2010: +$50
After Oct. 24, 2010: The editors may grant one or more 24-hour extensions at an additional penalty of $10 per day.
Additional discounts are offered for travel, buzzers, staffers, etc. Please refer to the tournament fees and discounts section of the ACF guidelines for further information.
Packet penalties
Teams will incur penalties for the following offenses:
Please see the additional packet penalties section for more info.
Friendly reminders
Please refer to the ACF Packet Submission and Fee Information document for a more detailed explanation of submission and fee-related information.
If you are sending multiple packet writing teams, PLEASE make sure you don’t collaborate on your packets, or talk about their contents.
If you have any other questions, please contact Evan Adams at adamsej2@vcu.edu


AAP 2 - Ansible RHEL 90 Workshop
This is the Ansible Red Hat Enterprise Linux Workshop (90 minute version).
Workshop Description
If you’re new to Ansible Automation, but want a quicker version of the original RHEL workshop, this 90-minute workshop provides you with fewer exercises, focused on cloud provisioning, converting bash/shell commands to Ansible, all the way to utilizing RHEL System Roles.
Workbench Infrastructure
- 1 x Automation controller on RHEL 8
- 3 x Red Hat Enterprise Linux 8.X hosts
Access Guide
Upon completion of provisioning you will receive an email with a website containing a user credential and access to
Automation controller web UI
Visual Studio Code (including a terminal)
backup direct SSH access
The website provided with this information is dynamically created upon provision and will be your 4-digit unique identification number + the GPTE DNS open.redhat.com, example.opentlc.com or similar
For example: http://87f8.example.opentlc.com/
Lab material
All lab materials can be found on https://aap2.demoredhat.com/
Provisioning Time?
~45 min
Have questions?
Issues?


Adversary Hangman
Copyright 2013-2014 Vance Zuo
Hangman images by Amanda Zuo
Adversary Hangman is the classic hangman game with some added bells and
whistles, which can be explored by clicking the 'Settings' button.
Dictionary
Any text file where words are separated by whitespace can be used by the
program. Words containing non-letters and numbers are ignored. Note that
duplicates are not culled. The default word list used is the Brown and LOB
Corpus' 5066 most common words. If you want more varied and
challenging sets, I recommend looking at Alan Beale's 12dicts Word Lists
(http://www.wyrdplay.org/12dicts.html).
Word Choice
Under this category the user can change the word choice algorithm used by the
program. Random should be clear enough. Scrabble randomly
selects 10 words from the dictionary, and chooses the one yielding the highest
base score in Scrabble. Adversary is the most challenging mode. It
doesn't choose a word in the beginning at all. Instead, it constructs its
word based on your letter choices over the course of the game, aiming to
thwart you efforts to win. This mode is inspired by the concept of adversary
models, which are used to analyze the performance of computer algorithms.
Word Length and Lives
These should be self-explanatory. Note that depending on the dictionary,
there may be word lengths that are invalid, but technically selectable in
the slider. If you attempt to choose an invalid length, the program will
gently prompt you to select something else. There is also the option,
enabled by default, of randomizing the word length after each game.


Twitch App
A simple Twitch app displaying channel streaming status by
Lam Pham
.
All
Online
Offline
ADD


4.3. Outgoing Distributions¶
Applications of nuclear data are often sensitive not only to the reaction cross section, but also to the angular distributions and energy spectra of the reaction products. Each product in GND therefore contains a ‘distribution’ element. The distribution data may be given in several different ways:
4.3.1. Angular distributions¶
For reactions producing exactly two outgoing products (such as n + Mn55 -> p + Cr55), the evaluation only needs to include an angular distribution for one product. The kinematics of these ‘two-body’ reactions mean that the angular distribution for the other product (and the energy spectra for both) can be computed from the first product.
There are several ways of describing angular distributions in GND:
- Isotropic
- Legendre coefficients for each incident energy,
- Pointwise data for each incident energy, where P(mu) is given explicitly for mu from -1 to 1 (mu = cosine of the scattering angle theta)
- ‘Mixed’ form, where Legendre coefficients are used at smaller incident energies and pointwise at higher energies (Legendre coefficients can cause trouble with negative probabilities, especially for very forward-peaked distributions).
4.3.2. Energy distributions¶
For a two-body reaction, an energy distribution could be supplied instead of an angular distribution. In practice, however, energy distributions are only given for non-2-body reactions. In GND, these distributions are used when the outgoing angle and energy are assumed to be uncorrelated. There are many ways of storing energy spectra, including:
- Pointwise
- Watt spectra
- Maxwellian
- and many others
4.3.3. Joint energy-angle distributions¶
For non-two-body reactions, the distribution can be best described using a double-differential form that gives the probability as a functon of both outgoing angle and energy. Some types of double-differential distribution forms include:
- Legendre coefficients listed as a function of both incident and outgoing energy,
- Pointwise data, where P(mu | E, E’ ) is given for each combination of incident energy E and outgoing energy E’,
- Kalbach-Mann data, a parameterized form that can efficiently describe the average outgoing spectra.
4.3.4. Multiplicity¶
Reaction products require a multiplicity. For many common reactions the multiplicity is a constant integer (i.e. n,2n, n,n’, elastic, etc.). In some special cases (mainly gammas and fission neutrons), an average, incident-energy-dependent multiplicity is listed instead. Methods for storing the multiplicity include
- constant1d
- XYs1d
- regions1d
- polynomial1d
- reference (i.e. a link to another product’s multiplicity)
4.3.5. Where are the discrete gammas?¶
Discrete gammas can appear in several places in a GND evaluation. Where possible, they are located inside
the PoPs particle database, where they are listed as decay modes from excited nuclear states down to lower energy states.
In other cases, the source of the gamma may not be known exactly (or may not have been included in the ENDF evaluation
that was translated to GND). In those cases, discrete gammas are listed as normal reaction products,
with uncorrelated distributions here the energy distribution is listed as discreteGamma
.
Primary gammas are listed in a similar fashion, as uncorrelated distributions with a primaryGamma
energy distribution.


Hi, there! My name is Kara Hunte and I was born in Barbados, a small island in the West Indies! Explore this website to get to know more about me!
Hello, I am Kara!
I am currently studying computer programming at Ten Habitat's Source Code Academy. I possess a Bsc. Management Studies degree and have a huge interest in Creative Arts!"


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About
YOURS
YOURS is about making an OpenSource routeplanner using OpenSource software and data as much as possible.
The OpenStreetMap geographic data is the most important part in this project.
While being nowhere near complete enough to be able to say that it covers the whole world, it contains some pretty complete data for countries like: the Netherlands, United Kingdon, United States and Germany.
Some other countries are not far behind.
So the time is there to actually put the OpenStreetMap data to use.
www.yournavigation.org
This website is a showcase for the YOURS project.
License
The source code for the YOURS project and this website is available under the BSD license. See the wiki link below for more information.
Use YOURS as the routing engine in your application
The routing API is OpenSource and open to 3rd party applications. This means that you can either implement a copy of the routing API or use this website as the routing backend for your application. See the wiki link below for more information.
More information
Please visit the
YOURS wiki page for more information.
Things to do (Wishlist in random order)
Interface with Gosmore to find routes using KML.
Use the Namefinder service to find the 'To' and 'From' coordinates.
Add controls for travel methods (motorcar, cycle, foot) available in Gosmore.
Add route option controls (fastest or shortest route) available in Gosmore.
Add permalink to allow route queries to be saved or exchanged.
Zoom and pan automatically to show whole route on map.
Add cycle map as baselayer to choose from.
Interface with the altitude profile service from Sjors Provoost.
Accurately calculate route length (current length is an 'estimate').
Add link from the current mapview to the online 'Potlatch' map editor for quick bugfixing.
Interface with Gosmore to find routes using (geo)JSON, for 3rd party applications.
Add 'route via' possibilities.
- Export as
GPX., WPT and KML file.
Allow changes to existing route (i.e. move to/from/via markers) a la Google. (Not as fancy as the Google one...)
- Show driving directions.
- Support for multiple languages.
- Support for other routing engines (e.g. Pyroute or OpenRouteService).
- Interface with the RemoteControl plugin for the JOSM editor for easy data-bug fixing.
- Add Munin plugin to keep track of the number of requests, route calculation times, etc.
Add caching of route calculation results.
- Add a cycle nodenetwork routing option.
- Add context menu's to right mouse clicks (add marker etc.).
- Cafe/bar/pub finding mode (on click on the map gives pubs in the area).
- Add nautic routing.
- Generate route information in a printer friendly way.
- Add a text only mode (for the visually impaired).
- Add routing description specifically for visually impaired users (distance in steps and such).
Contact
For more information, questions/feedback or want to lend a helping hand please visit the
OpenStreetMap forum or send me a message through the
OSM messaging function. If you do not have an OpenStreetMap account email me directly: osm at na1400 dot info.


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| Package | Description |
|---|---|
| game.ai.shared.player | |
| game.ai.shared.rules | |
| game.ai.shared.rules.specification |
| Modifier and Type | Method and Description |
|---|---|
IChain |
AIPlayer.getCommandChain() |
| Modifier and Type | Method and Description |
|---|---|
void |
AIPlayer.applyCommandChain(IChain commandChain)
This method is called when user wants to select rules from system library
and they are applied to
AIPlayer |
| Modifier and Type | Class and Description |
|---|---|
class |
CommandChain
|
| Modifier and Type | Method and Description |
|---|---|
IChain |
RulesFactory.buildCommandChain(java.util.Stack<ICommand> stack) |
IChain |
RulesFactory.createRandomRules() |
IChain |
RulesFactory.getStandardCommandChain() |
IChain |
CommandChain.getSuccessor() |
IChain |
CommandParser.parse(java.lang.String fileName) |
| Modifier and Type | Method and Description |
|---|---|
void |
CommandChain.setSuccessor(IChain successor) |
| Modifier and Type | Method and Description |
|---|---|
IChain |
IRuleCollection.buildCommandChain(java.util.Stack<ICommand> stack)
|
IChain |
IRuleCollection.createRandomRules()
This function will create a new collection of rules for AI player
|
IChain |
IRuleCollection.getStandardCommandChain()
|
IChain |
IChain.getSuccessor()
Return the next
IChain |
IChain |
IParser.parse(java.lang.String fileName) |
| Modifier and Type | Method and Description |
|---|---|
void |
IChain.setSuccessor(IChain successor)
Set next
IChain |


#include <gcallback.h>
Public Member Functions | |
| GCallback () | |
| template<typename OT , typename FT > | |
| GCallback (OT *obj, const FT &func) | |
| template<typename FT > | |
| GCallback (FT &func) | |
| template<typename FT > | |
| GCallback (const FT &func) | |
| template<typename FT > | |
| GCallback (const volatile FT &func) | |
| GCallback (const ThisType &other) | |
| GCallback & | operator= (const ThisType &other) |
| bool | operator== (const ThisType &other) const |
| bool | operator!= (const ThisType &other) const |
| RT | invoke (PT1 p1, PT2 p2...PTn pn) const |
| RT | operator() (PT1 p1, PT2 p2...PTn pn) const |
| const void * | getObject () const |
| void | setObject (void *obj) |
| bool | empty () const |
The callback object is useful to represent any functions.
It can be used with any functions, include global function, member function, virtual member function, static member function, functor object (an object with () operator), etc.
The callback is the same concept of slot in other implementation, such as Qt, boost::Signals, and libsigc++.
The template parameter 'Signature' is the function type, or a pointer type that points to a function (aka, function pointer).
GCallback<void ()> --> void foo(); // signature is a function type.
GCallback<void (*)()> --> void foo(); // signature is a function pointer.
GCallback<int (double, char)> --> int foo(double, char);
GCallback<void __stdcall (int)> --> void foo(int n); // __stdcall is ignored, Note the type GCallback<void __stdcall (int)> is not equal to GCallback<void (int)>, though they behave exactly the same.
The Signature can be in any format as long as it constructs a valid function type or function pointer type.
The Signature can include calling convention and class qualifier.
Any calling convention and class qualifier will be ignored.
So for two Signatures, if they have same argument count and types and result type, even they have different calling convention and class type (so they ar different function signature), the callback will behave exactly the same.
But always keeps in mind, different signatures, will produce different callback types, even if all callback types behave the same.
So it's highly recommended that we should better stick to consistent signature format. For example, always using function type without any calling convention or class type should be the best.
Please alwasy prefer function type to function pointer. If you don't want, please keep consistent.
GCallback<Function type> is not equal to GCallback<Function pointer>. Though they behave exactly the same, they are different C++ types.
Assigning a callback which is a type GCallback<Function type> to GCallback<Function pointer> will cause callback be treated as a common functor object, vice versa.
For any functions that expect GCallback as parameter, global function and functor object can be used directly because it will be converted implicitly.
Note:
1, When passing functor object (functor) to callback, if the object is volatile or const volatile, a volatile copy constructor must be specified as well as a const copy constructor.
However, that will generator a "warning C4521: multiple copy constructors specified" in VC. Seems it's a problem of VC (fine in GCC), so just use pragma warning (disable : 4521) to disable that warning.
2, For the functor object passed to callback, it must either not define operator ==, or define operator == as public member. It mustn't declare the operator == in non-public section.
3, For functor object, it must provide copy constructor. If it can't, use makeReference to get a reference.
4, For functor object, the non-const operator function is always used if there is one. If there is no non-const version, the const version will be used.
How to compare two callbacks
A callback is comparable only if the object or function is comparable.
So, a callback with global function, or static memeber function, or normal member function, is always comparable.
A callback with a functor object is only comparable when the functor is comparable (== operator is defined)
For functor-only object which is only used to execute the () operator, an "always return true" == operator will be fine.
bool operator == (const FunctorClass &) const { return true; }
How to change the max parameter count?
The max parameter count is defined by CB_MAX_ARITY.
So to change it, define CB_MAX_ARITY with a new value (1~30) before include gcallback.h or gcallbacklist.h.
If you need more than 30 parameters, you need to extend the macros in gpp.h which is quite tricky.
Note: usually you don't need to redefine CB_MAX_ARITY. It being 10 means you can use 0~10 parameters, not only 10 parameters. And 10 parameters are enough for most use.
| cpgf::GCallback< Signature >::GCallback | ( | ) | [inline] |
Construct an empty callback. Invoking an empty callback will cause nothing happen.
| cpgf::GCallback< Signature >::GCallback | ( | OT * | obj, |
| const FT & | func | ||
| ) |
Construct a callback from a member function.
obj is the object, can be NULL and setObject later.
func is the address of the function.
Note: invoking a callback with NULL object will cause memory access violation.
| cpgf::GCallback< Signature >::GCallback | ( | FT & | func ) |
Construct a callback from a global function or functor object.
func is the address of the function, or a reference (not address) of the functor object.
| cpgf::GCallback< Signature >::GCallback | ( | const FT & | func ) |
Construct a callback from a global function or functor object.
func is the address of the function, or a reference (not address) of the functor object.
| cpgf::GCallback< Signature >::GCallback | ( | const volatile FT & | func ) |
Construct a callback from a global function or functor object.
func is the address of the function, or a reference (not address) of the functor object.
| cpgf::GCallback< Signature >::GCallback | ( | const ThisType & | other ) |
Construct a callback from other callback.
| GCallback& cpgf::GCallback< Signature >::operator= | ( | const ThisType & | other ) |
Assign a callback from other callback.
| bool cpgf::GCallback< Signature >::operator== | ( | const ThisType & | other ) | const |
Equal operator.
| bool cpgf::GCallback< Signature >::operator!= | ( | const ThisType & | other ) | const |
Not-equal operator.
| RT cpgf::GCallback< Signature >::invoke | ( | PT1 | p1, |
| PT2 p2...PTn | pn | ||
| ) | const |
Invoke the callback.
GCallback<int, double> cb = &foo; int a = cb.invoke(0.5); // same as int a = foo(0.5);
| RT cpgf::GCallback< Signature >::operator() | ( | PT1 | p1, |
| PT2 p2...PTn | pn | ||
| ) | const |
Invoke the callback.
GCallback<int, double> cb = &foo; int a = cb(0.5); // same as int a = foo(0.5);
| const void* cpgf::GCallback< Signature >::getObject | ( | ) | const |
Get the object that bound to a member function.
For non-member function, always return NULL.
| void cpgf::GCallback< Signature >::setObject | ( | void * | obj ) |
Set the object to bind to a member function.
No effect for non-member function.
| bool cpgf::GCallback< Signature >::empty | ( | ) | const |
Return true if no function is set to the callback.
Return false if there is function.


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