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--- layout: example.html title: OSM Vector Tiles shortdesc: Using OpenStreetMap vector tiles. docs: > A simple vector tiles map with OpenStreetMap vector tiles. **Note**: The tiles used in this example are not optimized for rendering - they clip tiles exactly at the tile boundary instead of adding a buffer, and use geographic coordinates instead of tile relative pixel coordinates in view projection. tags: "vector, tiles, osm" ---


Ticket Taker Beta
Review
Gas company:
Trucking company:
Driver Name:
Truck Number:
Trailer Number:
Location/Well:
Materials:
Notes:
Next


Vacillating Existence
Clarity is something which we all strive for, we crave for it, we are encouraged to have it. Irony though has its own part to play in all of this, finding clarity lands us into situations which are cryptic to us and in all this puzzlement somewhere we loose our goal towards things. Things start to get muddled up, red flags start showing up in your head, we then are filled with fear, fear of not having stuff planned out, fear of failure, fear of being judged.
The clear water in this picture does not come any close to our muddied and dark uncharted waters in our mind. To explain this notion of clarity we need to first bury ourselves in our making. Our existence comprises of three things : mind, body, intellect. Our body is created by the five elements of nature and it will get destroyed and get back to its original form. The mind is our brain but in action. This means that our mind has thoughts due to the constant signals running in our brain’s neural network. The thoughts can change into thinking which is the constant linking of thoughts. The last, but not the least, the pride of Homo Sapiens is its intelligence. This part has cognitive abilities, which helped us develop civilisation, technology, and much more. Our intellect has the ability to make connections, decisions and evaluate circumstances.
When these three work together and are in perfect harmony , we have satisfaction with how things are flowing. As soon as one of the aspects dwindle, and lo and behold that is when the constant fights begin. For example, when your body isn’t fit, you cannot carry out intellectual work with full potential, similarly if your mind doesn’t have any intention on giving up a set mindset which may or may not be right, you are in constant fight with your body and intellect. Overtime, when this fight becomes constant and we cannot contend anymore, our mind wins , our belief system wins. This might also be a reason why we have so many extremists in our society.
Our vacillating existence and motive can never be cleared up if we cannot align these three things. The three pillars form our structure, our life; if even one of them falls or tilts our whole structure might tilt. When people talk about being clear, I feel first our belief system should perceive the environment around us and then give its final verdict. Our thoughts are never positive or negative , just right or wrong that to applicable only to us. Clarity in our living, can only help us live a more fulfilled life. When you have this kind of state, even though bad situations may arise , you will always be calm and in peace, and wade your way through it. Our mind is a swindler, so beware of what you feed to it, otherwise it might give you attractive lucrative schemes and you will end up of falling for it . But the consequences will be severe, you might have a great fall, maybe hit your rock bottom.
This is one of the places where I want to start my work, I want to regrout my old tiles and learn from this process. I realise this journey is meant to be enjoyed , and it can happen if you find “the clarity”.


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* Starred functions can be called only from the server script code.
| NEUTRAL | 0 |
| UGTO | 1 |
| ICC | 2 |
| KLUTH | 3 |
| ICC/UGTO | 4 |
| UNKNOWN | 5 |
| Faction | Value |
| Neutral | 0 |
| UGTO | 1 |
| ICC | 2 |
| K’Luth | 3 |
| ICC/UGTO | 4 |
| UKNOWN | 5 |
| Scope | Value |
| LOCAL | 0 |
| GLOBAL | 1 |
| TEAM | 2 |
| FACTION | 3 |
| PRIVATE | 4 |
| SERVER | 5 |
| NOT_FACTION | 6 |
| Misc\ | Asteroid.prt
AsteroidBelt.prt |
| Misc\Resource Container\ | NC_Resource.prt |
| Nebula\ | Gas Cloud.prt |
| Gadgets\ | Active
Shields.PRT Aft Light Armor.prt Aft Shields.prt AM Torpedo.prt AntiMatter Drive.PRT AntiMatter Mine.prt AR Missile.prt Auto Repair.prt Beacon.PRT Bio Bomb.prt Build - ICC.PRT Build - KLuth.PRT Build - UGTO.PRT CL 1000.PRT CL 2000.PRT CL 300.prt CL 500.prt CL 550.prt Cloaking Device.prt Death Beam.PRT Disruptor.prt Drive - AFE.prt Drive - AME.prt Drive - IE.prt Drive - PFE.prt ECCM.prt ECM.prt ELF Beam.PRT ELF.PRT EMP Cannon.PRT EMP Mine.prt EMP.prt Fighter Bay - ICC.prt Fighter Bay - UGTO.PRT Flux Cannon.prt Flux Wave.PRT Fore Heavy Armor.prt Fore Light Armor.prt Fore Shields.prt Front Heavy Armor.prt Full Heavy Armor.prt Full Light Armor.prt Full Shields.prt Fusion Drive.prt Fusion Reactor 1000.prt Fusion Reactor 1500.prt Fusion Reactor.prt Fusion Torpedo.prt Gauss Gun.prt Innards.prt IP Beam.PRT IPS Beam.PRT IT Missile.prt Jump Disruptor.prt Larvae Formation.prt Left Heavy Armor.prt Left Light Armor.prt Left Shields.prt Light Armor.prt Mining Beam.PRT MiRV Bomb.prt Mouth Beam.prt Nuke Mine.prt P Cannon.prt P Cruise Missile.prt P Torpedo.prt Psi Cannon.prt Psi Missile.prt Pulse Beam.PRT Pulse Shield.prt QSB.prt Railgun.prt Reactive Shields.PRT Reactor 1000.prt Rear Heavy Armor.prt Rear Light Armor.prt Reload.prt Right Heavy Armor.prt Right Light Armor.prt Right Shields.prt Sabot Rocket.prt Scanner.prt Script.PRT Spawn.PRT Tachyon Drive.prt Tractor Beam.prt |
| Ships\ | ICC\Cruiser\M230 A\NC_M230A.PRT ICC\Cruiser\M235 I\NC_M235I.PRT ICC\Cruiser\M239 J\NC_M239J.PRT ICC\Cruiser\M245 A\NC_M245A.PRT ICC\Cruiser\M247 M\NC_M247M.PRT ICC\Cruiser\M248C\NC_M248C.PRT ICC\Destroyer\M190 A\NC_M190A.PRT ICC\Destroyer\M190 B\NC_M190B.PRT ICC\Destroyer\M192 F\NC_M192F.PRT ICC\Destroyer\Old\M194A\NC_M194A.PRT ICC\Dreadnought\M400-A\NC_M400A.PRT ICC\Dreadnought\M400-B\NC_M400B.prt ICC\Dreadnought\M410-A\NC_M410A.prt ICC\Dreadnought\Old\M300\NC_M300.prt ICC\Dreadnought\Old\M310\NC_M310.prt ICC\Engineering\MR 110\NC_MR110.PRT ICC\Engineering\MR 115\NC_MR115.prt ICC\Engineering\MR 125\NC_MR125.PRT ICC\Fighter\M7\NC_M7.PRT ICC\Frigate\M40S\NC_M40S.prt ICC\Frigate\M42B\NC_M42B.prt ICC\Frigate\M44A\NC_M44A.prt ICC\Frigate\M45B\NC_M45B.prt ICC\Miner\ME 1522\NC_ME1522.prt ICC\Scout\M21 A\NC_M21A.prt ICC\Scout\M21 B\NC_M21B.prt ICC\Scout\M21 C\NC_M21C.prt ICC\Scout\M22 B\NC_M22B.prt ICC\Station\M2200 A\NC_M2200A.prt ICC\Supply\M S40 A\NC_MS40A.prt ICC\Supply\M S42 A\NC_MS42A.prt ICC\Transport\M2111 Transport\NC_M2111.PRT ICC\Transport\M2122 Transpoer\NC_M2122.PRT Kluth\Fighter\Larvae\NC_Larvae.PRT Kluth\Frigate\Proboscis\NC_Proboscis.PRT Kluth\miner\Extractor\NC_Extractor.prt Moderator\NC_ORB.PRT UGTO\Cruiser\ST-74 Torpedo Cruiser\NC_ST74.prt UGTO\Cruiser\ST-75 Interdictor\NC_ST75.PRT UGTO\Cruiser\ST-76 Battle Cruiser\NC_ST76.prt UGTO\Cruiser\ST-79 Missile Cruiser\NC_ST79.prt UGTO\Cruiser\ST-80 Bomber\NC_ST80.PRT UGTO\Destroyer\ST-10 Gunboat\NC_ST10.prt UGTO\Destroyer\ST-11 Missile Buster\NC_ST11.prt UGTO\Destroyer\ST-14 Assault\NC_ST14.prt UGTO\Dreadnought\ST-101 Super Carrier\NC_ST101.prt UGTO\Dreadnought\ST-105 Battle Platform\NC_ST105.PRT UGTO\Dreadnought\ST-106 Command Center\NC_ST106.prt UGTO\Dreadnought\ST-111 Elite Assault\NC_ST111.prt UGTO\Engineering\ST-7000\NC_ST7000.PRT UGTO\Engineering\ST-7010\NC_ST7010.prt UGTO\Fighter\B-27 Fighter\NC_B27.PRT UGTO\Frigate\ST-5 Bomber\NC_ST5.prt UGTO\Frigate\ST-6 Interceptor\NC_ST6.prt UGTO\Frigate\ST-7 Minelayer\NC_ST7.prt UGTO\Frigate\ST-8 Harrier\NC_ST8.prt UGTO\Miner\SE-7501\NC_SE7501.prt |
| Structures\ | Common\AntiSensor
Base.prt Common\Automated Farm.prt Common\Deep Core Mine.prt Common\Defense Base.prt Common\Depot.prt Common\Dome.prt Common\Fighter Base.PRT Common\Fusion Generator.prt Common\Hydro Farm.prt Common\Interdictor Base.prt Common\Mine.prt Common\Research Lab.prt Common\Sensor Base.prt Common\Solar Generator.prt ICC\Barracks.PRT ICC\Colony Hub.PRT ICC\Factory.PRT ICC\Shield Generator.prt ICC\StarPort.PRT KLuth\Barracks.prt KLuth\Colony Hub.prt KLuth\Factory.prt KLuth\StarPort.prt UGTO\Barracks.prt UGTO\Colony Hub.prt UGTO\Factory.prt UGTO\StarPort.prt |
| Units\ | Infantry.prt
K’Luth Infantry.prt |
| LOCAL | 0 |
| GLOBAL | 1 |
| TEAM | 2 |
| FACTION | 3 |
| PRIVATE | 4 |
| SERVER | 5 |
| NOT_FACTION | 6 |
| HYDROGEN | 0x01 |
| OXYGEN | 0x02 |
| METALS | 0x04 |
| HEAVY_METALS | 0X08 |
| CYRO_METALS | 0X10 |
| HYPER_MATTER | 0X20 |
| DARK_MATTER | 0X40 |
| URDANIAM | 0X80 |
| PLAGUE | 0X100 |
| REVOLUTION | 0X200 |
| RESESSION | 0X400 |
| STRIKE | 0X800 |
| BOOM | 0X1000 |
| SMUGGLERS | 0X2000 |
| MINING_FIND | 0X4000 |
| FOOD_SHORT | 0X8000 |
| POWER_SHORT | 0X10000 |
| WORKER_SHORT | 0X20000 |
| PLAGUE | 0 |
| REVOLUTION | 1 |
| RESESSION | 2 |
| STRIKE | 3 |
| BOOM | 4 |
| SMUGGLERS | 5 |
| MINING_FIND | 6 |
| FOOD_SHORT* | 7 |
| POWER_SHORT* | 8 |
| WORKER_SHORT* | 9 |
| 0 | Fighter |
| 1 | Scout |
| 2 | Frigate |
| 3 | Destroyer |
| 4 | Cruiser |
| 5 | Dreadnaught |
| 6 | Engineer |
| 7 | Supply |
| 8 | Transport |
| 9 | Station |
| 10 | Platform |
| 11 | Unknown |
| Order | Value |
| NOORDER | 0 |
| ATTACK | 1 |
| DEFEND | 2 |
| CAPTURE | 3 |
| MOVE | 4 |
| RELOAD | 5 |
| BEACON | 6 |
| HOLD | 7 |
| UKNOWN | 0 |
| DRIVE | 1 |
| SPECIAL | 2 |
| JUMP_DRIVE | 3 |
| WEAPON | 4 |
| WEAPON_HEAVY | 5 |
| WEAPON_BEAM | 6 |
| WEAPON_HEAVY_BEAM | 7 |
| ARMOR | 8 |
| SHIELDS | 9 |
| FIGHTER_BAY | 10 |
| DRONE_BAY | 11 |
| MINE | 12 |
| CLOAK | 13 |
| HULL | 14 |
| INTERDICTOR | 15 |
| CRUISE_MISSILE | 16 |
| ORB | 17 |
| FRONT | 0 |
| RIGHT | 1 |
| LEFT | 2 |
| BACK | 3 |
| FULL | 4 |
VALUE |
TYPE |
SHIPS |
-1 |
INVALID |
* |
0 |
SCOUT - move within 500gu of objective[0] |
SCOUT, FRIGATE |
1 |
BEACON – Attach beacon to objective[0] |
SCOUT |
2 |
DESTROY – Destroy objective[0] |
DESTROYER, CRUISER, DREAD |
3 |
ESCORT – Escort objective[0] to objective[1] |
DESTROYER, CRUISER, DREAD |
4 |
CAPTURE – Capture objective[0] |
TRANSPORT |
5 |
DEFEND – Defend objective[0] |
DESTROYER, CRUISER, DREAD |
6 |
TRANSFER – Move objective[0] to objective[1] |
ALL |
7 |
AQUIRE – Find and load objective[0] |
ALL |
8 |
ORBIT – Orbit objective[0] |
ALL |
9 |
REPAIR – Repair objective[0] |
SUPPLY |
10 |
SCRIPT |
ALL |
11 |
WAIT – Wait until objective[0] is within 100gu |
ALL |
12 |
SLEEP – Wait for duration to expire |
ALL |
13 |
GOTO – Get within 100gu of objective[0] |
ALL |
| ACTION | VALUE |
| INITIALIZE | 0 |
| ASSIGNED | 1 |
| ABORTED | 2 |
| COMPLETED | 3 |
| FAILED | 4 |
| VALUE | STATE |
| 0 | INACTIVE |
| 1 | ACTIVE |
| 2 | FAIL |
| 3 | COMPLETE |


Environmental Education Public Contacts Beginning 2014
The total annual number of youth, students, teachers, volunteers, and other members of the general public that participated in a program, visited the site, or in any way connected with DEC staff fr...


{% extends 'selia_templates/base.html' %} {% load i18n %} {% block main-content %}
{% blocktrans %} This object has been used elsewhere, deleting it would leave hanging references. {% endblocktrans%}


| run_phantomjs {webdriver} | R Documentation |
Throws and error if phantom cannot be found, or cannot be started. It works with a timeout of five seconds.
run_phantomjs(debugLevel = c("INFO", "ERROR", "WARN", "DEBUG"), timeout = 5000)
debugLevel |
Phantom.js debug level, possible values: |
timeout |
How long to wait (in milliseconds) for the webdriver connection to be established to the phantomjs process. |
A list of process
, the callr::process
object, and
port
, the local port where phantom is running.


Indian Institute of Technology Palakkad
UNNAT BHARAT ABHIYAN
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Service (ui-util
). Manages resolution of (acyclic) graphs of promises.
- Source:
- resolve.js, line 1
Requires
- module:$q
- module:$injector
Methods
-
resolve(invocables, locals, parent, self) → {Promise.<Object>}
-
Resolves a set of invocables. An invocable is a function to be invoked via
$injector.invoke()
, and can have an arbitrary number of dependencies. An invocable can either return a value directly, or a$q
promise. If a promise is returned it will be resolved and the resulting value will be used instead. Dependencies of invocables are resolved (in this order of precedence)- from the specified
locals
- from another invocable that is part of this
$resolve
call - from an invocable that is inherited from a
parent
call to$resolve
(or recursively from any ancestor$resolve
of that parent).
The return value of
$resolve
is a promise for an object that contains (in this order of precedence)- any
locals
(if specified) - the resolved return values of all injectables
- any values inherited from a
parent
call to$resolve
(if specified)
The promise will resolve after the
parent
promise (if any) and all promises returned by injectables have been resolved. If any invocable (or$injector.invoke
) throws an exception, or if a promise returned by an invocable is rejected, the$resolve
promise is immediately rejected with the same error. A rejection of aparent
promise (if specified) will likewise be propagated immediately. Once the$resolve
promise has been rejected, no further invocables will be called.Cyclic dependencies between invocables are not permitted and will caues
$resolve
to throw an error. As a special case, an injectable can depend on a parameter with the same name as the injectable, which will be fulfilled from theparent
injectable of the same name. This allows inherited values to be decorated. Note that in this case any other injectable in the same$resolve
with the same dependency would see the decorated value, not the inherited value.Note that missing dependencies -- unlike cyclic dependencies -- will cause an (asynchronous) rejection of the
$resolve
promise rather than a (synchronous) exception.Invocables are invoked eagerly as soon as all dependencies are available. This is true even for dependencies inherited from a
parent
call to$resolve
.As a special case, an invocable can be a string, in which case it is taken to be a service name to be passed to
$injector.get()
. This is supported primarily for backwards-compatibility with theresolve
property of$routeProvider
routes.Parameters:
Name Type Argument Description invocables
Object.<string, Function | string> functions to invoke or
$injector
services to fetch.locals
Object.<string, *> <optional>
values to make available to the injectables
parent
Promise.<Object> <optional>
a promise returned by another call to
$resolve
.self
Object <optional>
the
this
for the invoked methods- Source:
- resolve.js, line 209
Returns:
Promise for an object that contains the resolved return value of all invocables, as well as any inherited and local values.
- Type
- Promise.<Object>
- from the specified
-
study(invocables) → {Function}
-
Studies a set of invocables that are likely to be used multiple times. $resolve.study(invocables)(locals, parent, self) is equivalent to $resolve.resolve(invocables, locals, parent, self) but the former is more efficient (in fact
resolve
just callsstudy
internally). See module:$resolve/resolve for details.Parameters:
Name Type Description invocables
Object - Source:
- resolve.js, line 29
Returns:
- Type
- Function


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Snookes1516.github.io
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David Nutter
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Lecture 14 by Nikolai Gad
München, 29. January 2020
Send your questions by Friday 12.00, so I can prepare answers.
But feel free to bring questions on the day too.
Deducing properties of a population based on a sample.
Ie. describe a whole population based on a sample from that population.
A result is statistically significatnt when it is unlikely to occur randomly or by chance (but instead likely to be attributable to a specific cause).
Roughly speaking, there are (almost) always two things that determine the p-value (in combination):
So we can have very large relative difference between word frequencies in two texts, but becuase these words are generally rare, we still do not have enough evidence to prove that this difference is not random.
And on the other hand, we can have a very high p-value because there is a lot of words to prove that a specific word is used more in one text than in others, but that difference is not necesarrily substantially big.
So Big Data sets are more likely to yield statistically significant results, simply because the samples are big.
Big data also means we can study rare phenomona, that would be unlikely to capture with traditional methods through representative samples.
Text analysis is a good example of that. Many interesting words are relatively rare.
A good research question:
Inspired by https://sites.duke.edu/urgws/files/2014/02/Research-Questions_WS-handout.pdf
Salganik (2018): Bit by Bit
Pros:
Cons/Challenges:
Traditional approach loosely based on Adcock, R., & Collier, D. (2001). Measurement Validity: A Shared Standard for Qualitative and Quantitative Research. American Political Science Review, 95(3), 529–546.
| Scale | ||
|---|---|---|
| Categorical | Continuous (scaling) | |
| Supervised | Classification (known categories) | Scaling (known scale) |
| Unsupervised | Clustering (unkown categories) | Exploring dimensions (unknown scale) |
Grimmer & Stewart's (2013) four principles of automated text analysis:
Three key issues we want to be aware of:
So recall and precision could be measured as:
Overview also uploaded to Moodle.


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--- layout: page_notitle author: display_name: Steve Gourley email<EMAIL_ADDRESS>tags: [] date: 2017-12-21 15:18:09 -0700 title: Atlas categories: - Developer ---
UGRC offers many online services to facilitate the use of GIS and Atlas is a combination of most of those services. Atlas contains the complete and most current Discover base maps. Atlas also uses most of the UGRC Components. Clicking anywhere on the map makes http requests to the UGRC Web API to reverse geocode, search for the city, county, land ownership, elevation, and US National Grid of the point clicked; and display the results in the left panel. For UGRC developers, Atlas is a code base to keep improving its usage of React and the ArcGIS Maps SDK for JavaScript. Atlas is a GitHub template that you can use to create your own website.


| Up | TOC | Index | |||||
| << 5 Formal Syntax | < 6.1.23 where.ex | Up: 6 Mini-Guides | 6.1.25 win32/dsearch.exw > | 7 Included Tools >> |
6.1.24 bench/sieve8k.ex
Prime sieve benchmark "Shootout" version
<IP_ADDRESS> Usage
eui sieve8k <iterations> <largest>
default is 1 iteration with 8192 as largest allowable prime
<IP_ADDRESS> Interpreter Benchmark Results
The Euphoria interpreter seems to be the world's fastest!
Although it provides subscript checking, uninitialized variable checking, full dynamic storage allocation, flexible generic data types, and integer overflow checking, it still manages to "blow away" all other programming language interpreters that we know of.
The results below are based on the prime sieve benchmark from the Great Computer Language Shootout by Doug Bagley. The numbers are taken from the WIN32 version of the Shootout at
We chose sieve because it was CPU-intensive, and less trivial than some of the other benchmarks. It's also integer-based, as most real programs are. Naturally, you should perform your own benchmarks, based on the type of programs that are important to you.
<IP_ADDRESS> Our Methodology:
We measured the speed of Euphoria on the version of sieve used in the Shootout. We measured both the Euphoria interpreter, and the Euphoria To C Translator. The machine used in the WIN32 Shootout was a Pentium-4 1.6GHz running Windows XP. Our machine for the Euphoria measurements was a Pentium-4 1.8GHz, also running Windows XP. We thus adjusted our times upward by 1.8/1.6, i.e. we added 12.5%. As a check, we downloaded Python 2.1 and ran sieve with N=900 on our machine. Python was only about 3% faster on our machine, probably because CPU speed is not the only factor. Level-2 cache access time may also be important. To be fair, we nevertheless scaled up all of our Euphoria times by the full 12.5%.
We ran the Euphoria sieves with N=90000 to get accurate timings. For comparison, we divided by 100 to match the N=900 used on the WIN32 shootout, and we added 12.5%.
The Shootout used an external timer on the programs, that necessarily included start-up times. We used an internal timer in the Euphoria programs, because it's more accurate, and because we lacked a good external timing mechanism. To eliminate the start-up times of the other languages, we subtracted their time for N=1 from their time for N=900. In most cases the N=1 start-up time was just a tiny percentage of the full N=900 time. (So we were actually only timing 899 iterations for the other languages.)
<IP_ADDRESS> The Results
Euphoria interpreter, eui.exe:
For N=90000 on 1.8GHz machine: 41.39 seconds scaled to N=900 (divide by 100): .4139 seconds adjusted +12.5% to compare with 1.6 GHz: .4656
Euphoria To C Translator (with C compilation by Watcom for WIN32):
For N=90000 on 1.8GHz machine: 11.28 seconds scaled to N=900 (divide by 100): .1128 seconds adjusted +12.5% to compare with 1.6 GHz: .1269
From dada.perl.it/shootout/ prime sieve benchmark (interpreted languages)
N=900 iterations. Start-up time (N=1) was subtracted out Pentium-4 1.6 GHz
Interpreters, sorted by seconds taken: (EtoC added for comparison)
| Lang | Score | Notes |
|---|---|---|
| Euphoria | 0.13 | EtoC Translator / Watcom |
| Euphoria | 0.47 | Interpreted with eui.exe |
| pliant | 0.68 | |
| gforth | 0.75 | |
| parrot | 2.98 | |
| ocamlb | 3.21 | |
| poplisp | 3.34 | |
| eu in eu | 7.15 | PD source Euphoria translated/compiled to eu.exe |
| erlang | 7.16 | |
| lua | 8.70 | |
| pike | 10.36 | |
| python | 14.33 | |
| icon | 15.12 | |
| perl | 16.36 | |
| elastic | 16.88 | |
| guile | 18.64 | |
| cygperl | 19.22 | |
| ruby | 27.59 | |
| mawk | 28.00 | |
| vbscript | 32.02 | |
| php | 67.32 | |
| jscript | 77.43 | |
| tcl | 83.10 | |
| gawk | 158.49 | |
| rexx | 166.85 |
<IP_ADDRESS> Conclusions
- Euphoria (interpreted) beats all of the other interpreted languages in the Shootout. All of the well-known languages are beaten by a huge margin. For instance, Perl is 16.36/.4656 = 35 times slower than interpreted Euphoria. Python is 31 times slower.
- If you want even greater speed, the Euphoria to C Translator can give you a factor of .4656/.1269 = 3.7 versus the already-fast interpreter. In fact, EtoC easily beats many compiled languages such as Java and C-Sharp (C#) on this benchmark, and it comes close to hand-coded, fully-optimized C. This is remarkable, since Euphoria code is *much* easier to write and debug than C. EtoC beats both Perl and Python by a factor of more than 100!
- Observe that even the version of Euphoria written in pure Euphoria can run twice as fast as Python or Perl which are both written in C.


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This is the first of a series of posts going over the basics of Bayesian inference. Bayesian inference uses Bayes rule which comes from simple algebra of basic probability rules. In this post we’ll look at the basic rules of probability and derive Bayes rule. We’ll look at a couple of simple examples to see how Bayes rule works.
Note
There’s a little bit of R code in this post and I’m using the new native R pipe |>. If you’re used to tidyverse semantics you might think that |> behaves like the magrittr pipe, %>% but it doesn’t! But it can (mostly) be used in the same way. See here for more details.
On the way to Bayes rule
The grade classifications for a course I taught in my previous job are shown in the table below. The course was taken by students across two programmes.
Table 1: Grade classification by programme.
Programme
Grade
SES
SS
1
10
3
2.1
20
6
2.2
11
15
3
4
20
Tables like this are called contingency tables and they are used to summarise the relationship between two (or more) categorical variables. We can create contingency tables in R.
# dimnames is a list; rownames then colnames; |> is native R pipe; pipe matrix to as.table funcgrade_table <-matrix(c(10,20,11,4,3,6,15,20), ncol =2, byrow =FALSE, dimnames =list(c("1", "2.1", "2.2", "3"), c("SES", "SS"))) |>as.table()grade_table
SES SS
1 10 3
2.1 20 6
2.2 11 15
3 4 20
We can use contingency tables to calculate different types of probabilities.
Marginal probabilities
The row and column totals for each variable in the table are called the marginal totals.
Table 2. Grade classifications with marginal totals
Programme
Grade
SES
SS
Marginal Total
1
10
3
13
2.1
20
6
26
2.2
11
15
26
3
4
20
24
Marginal Total
45
44
89
We can get R to add marginal totals to contingency tables for us.
SES SS Sum
1 10 3 13
2.1 20 6 26
2.2 11 15 26
3 4 20 24
Sum 45 44 89
The marginal totals can be used to calculate marginal probabilities by dividing the marginal total for a row or column by the grand total. We denote marginal probabilities as \(P(A)\) where \(A\) is some outcome.
For example the marginal probability of students getting a 2.1 is the marginal number of students who got a 2.1 (26) divided by the total number of students in the course (89).
Table 3. Numbers involved in marginal probabilities are coloured.
Programme
Grade
SES
SS
Marginal Total
1
10
3
13
2.1
20
6
26
2.2
11
15
26
3
4
20
24
Marginal Total
45
44
89
We see that \(P(2.1)\) is 29%.
Joint probabilties
The probability of two (or more) outcomes considered together is called a joint probability.
For events \(A\) and \(B\) joint probabilities are often written as \(P(A \text{ } and \text{ } B)\) or \(P(A, \text{ } B)\).
To calculate joint probability we divide the number of outcomes that fulfill a specific criteria by the grand total.
Here an example might be:
\[
P(2.1 \text{ and } SES)
\]
We can calculate this probability from the total number of SES students who got a 2.1 classification (20) divided by the total number of students (89).
SES SS Sum
1 0.112 0.034 0.146
2.1 0.225 0.067 0.292
2.2 0.124 0.169 0.292
3 0.045 0.225 0.270
Sum 0.506 0.494 1.000
Note
Key to both marginal and joint probability is that we use the grand total as the denominator to calculate these probabilities.
Conditional probabilities
Conditional probability is the probability of an event or outcome occurring given some other event or outcome has already occurred or is in place.
We denote conditional probabilities as \(P(outcome | condition)\).
We can read this as “The probability that outcome occurs given condition is in place”.
We might ask “What’s the probability of a 2.1 mark given the student is in the SES programme?” We’d denote that as:
\[
P(2.1|SES)
\]
Table 5. When we calculate conditional probabilities we restrict ourselves to one row or column (here coloured) of a contingency table.
Programme
Grade
SES
SS
Marginal Total
1
10
3
13
2.1
20
6
26
2.2
11
15
26
3
4
20
24
Marginal Total
45
44
89
If we look in the SES column we see 20 students got a 2.1 classification. There were a total of 45 SES students so \(P(2.1|SES)\) is 20/45 or 0.444 or 44.4%.
The general formula for conditional probability is:
\[
P(A|B) = \frac{P(A\text{ and }B)}{P(B)}
\]
Let’s see this at work for \(P(2.1 | SES)\).
The joint probability - \(P(2.1 \text{ and } SES)\) - is 20/89 = 0.225.
The marginal probability of SES - \(P(SES)\) - is 45/89 = 0.506.
The conditional probability of 2.1 given SES (\(P(2.1 | SES)\)) is therefore 0.225/0.506 = 0.444; exactly the same as before.
Importantly\(P(A|B) \neq P(B|A)\).
Examining our contingency table we saw that \(P(2.1|SES)\) was 0.444.
However this is not the same as \(P(SES|2.1) = \frac{P(2.1 \text{ and } SES)}{P(2.1)}\) = [(20/89) / (26/89)] = 0.77.
Note
Key to conditional probability calculations using a contingency table is that we are restricting ourselves to one row or column of the table.
The General Multiplication rule
We can rearrange the equation for conditional probability to get the General Multiplication Rule for calculating the joint probability of A and B.
\[
P(A \text{ and } B) = P(A|B)P(B)
\]
This is useful if we are not given the joint probability for some outcome.
Maybe we only know that 50.6% of students on the module are on the SES programme and that if a student was on the SES programme the probability of a 2.1. was 44.4%.
We can use this information to work back to the joint probability, \(P(2.1 \text{ and } SES\)) using the formula above.
\(P(2.1 \text{ and } SES) = P(2.1|SES)P(SES))\) = 0.444 * 0.506 = 0.225 - i.e. 22.5% as before.
Bayes rule
Thomas Bayes was a Presbyterian minister & philosopher. Although this portrait is universally used to portray Bayes it is probably not his portrait. The probability rule we call Bayes rule was published after Bayes’ death by his friend Richard Price in ‘An Essay towards solving a Problem in the Doctrine of Chances’ in 1763.
We are often given conditional probabilities like \(P(2.1 | SES)\) and we actually want the inverse conditional probability, \(P(SES|2.1)\). As we noted above these are not the same probabilities!
Bayes rule allows us to invert conditional probabilities.
We know from above that:
\(P(A \text{ and } B) = P(A|B)P(B)\)
\(P(B \text{ and } A) = P(B|A)P(A)\)
We also know that the order of \(A\) and \(B\) in joint probability doesn’t matter:
\(P(A \text{ and } B) = P(B \text{ and } A)\)
This means that:
\[
P(B|A)P(A) = P(A|B)P(B)
\]
If we divide through by \(P(A)\) we get:
\[
P(B|A) = \frac{P(A|B)P(B)}{P(A)}
\]
This is exactly Bayes rule!
If we know \(P(A|B)\) and the marginal probabilities, \(P(A)\) and \(P(B)\) we can get to \(P(B|A)\) by applying Bayes rule.
Suppose we know that \(P(2.1|SES)\) is 0.444 and we know the marginal probabilities of \(P(2.1)\) (0.29) and \(P(SES)\) (0.506).
Using Bayes rule we can easily calculate the inverse conditional probability \(P(SES|2.1)\):
In the numerator \(P(A|B)\) is the likelihood and \(P(B)\) is the prior. The denominator, \(P(A)\) is the marginal probability of A and is also called the evidence. The left hand probability, \(P(B|A)\) is called the posterior.
Being able to go from \(P(A|B)\) to \(P(B|A\)) might seem trivial but it turns out to be really useful.
Simple Application of Bayes rule
A classic application of Bayes rule is calculating the probability of actually having a disease after a positive test for that disease knowing only:
The test result
The disease prevalence rate i.e. the probability of getting the disease
The true positive rate of the test (sensitivity) i.e. the probability the test is positive if you have the disease
The true negative rate of the test (specificity) i.e. the probability the test is negative if you do not have the disease
While I was writing this the COVID-19 prevalence (by positive test) for my age group where I live was 8.8% (\(P(COVID)\) = 0.088). It was also the beginning of winter so the flu season was starting up.
Suppose I start feeling unwell and decide to take a lateral flow test to see if I have COVID-19 as opposed to flu (or hopefully just a cold). Lateral flow device true positive rate (\(P(+ve|COVID)\)) seems to be pretty good but the true negative rate (\(P(-ve|no \text{ } COVID)\)) seems to be much more variable e.g. Mistry et al. (2021). Let’s say the test I use has a true positive rate of 99% and a true negative rate of 85%.
If I take the test and get a positive result there is a 99% probability the test is correct if I have COVID-19 i.e. \(P(+ve|COVID) = 0.99\)… but this is not what I want to know. If I already knew I had COVID why bother with a test 🤡
What I actually want to know is \(P(COVID|+ve)\) i.e. the probability I actually have COVID given the test is positive.
So given current prevalence and information about the accuracy of the test there is an approximately 39% chance I actually have COVID after a positive lateral flow test.
We could write a little function to calculate this in R.
Using this with the figures above for COVID testing gives us:
prob_pos <-bayes_calc(0.99, 0.85, 0.088)prob_pos
[1] 0.3890675
Exactly the same result we got from our manual calculation.
Conclusion
Bayes rule is a conditional probability and is derived from simple algebra of established probability rules. Bayes rule allows us to invert conditional probabilities. This in turn can help us address questions like “What’s the probability I have the disease if the test is positive?” rather than simply knowing the probability the test result is right if I have the disease. Questions like the former are often what we really need answers to!
Bayes rule may seem pretty trivial but it is in fact extremely useful. In the examples above the probabilities we used were point probabilities i.e. single numbers but Bayes rule can be used with full probability distributions as well. In the next few posts we’ll explore how using Bayes rule with probability distributions can help us calculate the probability of hypotheses and models as well as estimate effect sizes in statistical analysis. This is where Bayes rule is really useful!
References
Mistry, Dylan A., Jenny Y. Wang, Mika-Erik Moeser, Thomas Starkey, and Lennard Y. W. Lee. 2021. “A Systematic Review of the Sensitivity and Specificity of Lateral Flow Devices in the Detection of SARS-CoV-2.”BMC Infectious Diseases 21 (1): 828. https://doi.org/10.1186/s12879-021-06528-3.


class InstitutionUserTypeEvent extends BaseEvent
Methods
| __construct() | from BaseEvent | |
| setData($data) | from BaseEvent | |
| getData() | from BaseEvent | |
| ParameterBag | getOptions() | from BaseEvent |
|
addOption(string $key, mixed $value)
Add an option for this event |
from BaseEvent | |
| getOption($key, $default = null) | from BaseEvent | |
| getInstitutionUserType() |
Details
in BaseEvent at line 22
public
__construct()
in BaseEvent at line 27
final public
setData($data)
in BaseEvent at line 34
final public
getData()
in BaseEvent at line 42
final public ParameterBag
getOptions()
in BaseEvent at line 53
final public
addOption(string $key, mixed $value)
Add an option for this event


--- layout: page header-img: "img/red.jpg" description: "Sorry, This is 404 Page" permalink: 404.html ---


Hello world !!!
A few facts about the world we live in
earth is third from sun and the largest terrestrial palnet
About earth
- mass:12345kg
- diameter:12345678m
- satellites:The Moon
Top three facts
- abc
- kjh
- kjkjh
| planet |
color |
| earth |
green |
| neptune |
blue °c |
website
Want to know more ?
Click here


|
Helix
|
#include <IAFile.h>
Public Member Functions | |
| IAFile () | |
| Any Child Vectors will be defined here. More... | |
| IAFile (const IAFile &c) | |
| Standard Copy Constructor. More... | |
| IAFile & | operator= (const IAFile &c) |
| Standard Assignment Operator. More... | |
| virtual | ~IAFile () |
| Standard Destructor. More... | |
| IAFile & | init () |
| Initialize this data object to have all empty or 0 values. More... | |
| IAFile & | checkSize () |
| Call check_size() on all of our twine members. More... | |
| IAFile (xmlNodePtr node) | |
| Construct from an XML Node. More... | |
| IAFile & | readXmlNode (xmlNodePtr node) |
| Read an XML Node to set our contents. More... | |
| xmlNodePtr | createXmlNode (xmlNodePtr parent) const |
| Create an XML Node as a child of the given parent. More... | |
| xmlDocPtr | createXmlDoc () const |
| Create an XML Document from this data object. More... | |
Static Public Member Functions | |
| static vector< IAFile * > * | readXmlChildren (xmlNodePtr parent) |
| Create a series of these objects by reading all children of the given parent. More... | |
| static void | createXmlChildren (xmlNodePtr parent, vector< IAFile * > *vect) |
| Create a series of xml child nodes based on the input vector. More... | |
| static void | deleteVector (vector< IAFile * > *vect) |
| Handle deleting a vector and its contents. More... | |
| static twine & | Name () |
| Static method to retrieve the name of this object. More... | |
| static vector< IAFile * > * | unusedSqlStmt (OdbcObj &odbc, intptr_t isZOS, intptr_t isVSE, intptr_t FileSize) |
| static vector< IAFile * > * | unusedSqlStmt (OdbcObj &odbc, twine &stmt, bool useInputs, intptr_t isZOS, intptr_t isVSE, intptr_t FileSize) |
| static twine | unusedSqlStmt_prepSQL (IOConn &ioc, intptr_t isZOS, intptr_t isVSE, intptr_t FileSize) |
| static twine | unusedSqlStmt_getSQL () |
Public Attributes | |
| twine | Description |
| All Data Members are public. More... | |
| twine | FileContents |
| twine | FileName |
| intptr_t | FileSize |
| twine | MoveDest |
| twine | MoveSource |
| twine | ParentFolder |
| intptr_t | ReturnCode |
| twine | Status |
| twine | Step |
| twine | TargetFolder |
| twine | Title |
| twine | Type |
| intptr_t | isVSE |
| intptr_t | isZOS |
This is a generated data object class that is used for interfacing with a database. This class was generated based on the settings in the file: ../logic/admin/IAFile.sql.xml
| IAFile::IAFile | ( | ) |
Any Child Vectors will be defined here.
Standard Constructor
| IAFile::IAFile | ( | const IAFile & | c | ) |
Standard Copy Constructor.
|
virtual |
Standard Destructor.
| IAFile::IAFile | ( | xmlNodePtr | node | ) |
Construct from an XML Node.
| IAFile & IAFile::checkSize | ( | ) |
Call check_size() on all of our twine members.
|
static |
Create a series of xml child nodes based on the input vector.
| xmlDocPtr IAFile::createXmlDoc | ( | ) | const |
Create an XML Document from this data object.
| xmlNodePtr IAFile::createXmlNode | ( | xmlNodePtr | parent | ) | const |
Create an XML Node as a child of the given parent.
|
static |
Handle deleting a vector and its contents.
| IAFile & IAFile::init | ( | ) |
Initialize this data object to have all empty or 0 values.
|
static |
Static method to retrieve the name of this object.
|
static |
Create a series of these objects by reading all children of the given parent.
| IAFile & IAFile::readXmlNode | ( | xmlNodePtr | node | ) |
Read an XML Node to set our contents.
|
static |
This is a SELECTTODO method. It is designed to run a single select statement and create a vector of data objects that represent the result set. This method returns the resulting vector of data objects. If something goes wrong, we will throw a SQLException.
Developer Comments:
This statement is merely here to define the data structure that is passed back and forth to define an installation plan
Sql Statement:
-- Nothing here on purpose -- Note, the Output/Input designations below don't matter. Output -- defaults to string as a type. Inputs require you to specify the -- data type. So, for those object members where we care about the -- data type, we use Input. All the others are strings and so we -- just use Output for less typing.
DataObject Attributes Used:
|
static |
This one matches the above in functionality, but allows you to pass in the sql statement and a flag to indicate whether the input parameters will be used.
|
inlinestatic |
This method returns the sql statement that is used by the above functions.
|
static |
This method will do a replacement of all of the parameter markers in the sql statement with the standard parameter list that is defined. This is useful for automatically prepping a SQL statement that doesn't work with parameter markers.
| twine Helix::Logic::admin::IAFile::Description |
All Data Members are public.
| twine Helix::Logic::admin::IAFile::FileContents |
| twine Helix::Logic::admin::IAFile::FileName |
| intptr_t Helix::Logic::admin::IAFile::FileSize |
| intptr_t Helix::Logic::admin::IAFile::isVSE |
| intptr_t Helix::Logic::admin::IAFile::isZOS |
| twine Helix::Logic::admin::IAFile::MoveDest |
| twine Helix::Logic::admin::IAFile::MoveSource |
| twine Helix::Logic::admin::IAFile::ParentFolder |
| intptr_t Helix::Logic::admin::IAFile::ReturnCode |
| twine Helix::Logic::admin::IAFile::Status |
| twine Helix::Logic::admin::IAFile::Step |
| twine Helix::Logic::admin::IAFile::TargetFolder |
| twine Helix::Logic::admin::IAFile::Title |
| twine Helix::Logic::admin::IAFile::Type |


UK to repatriate 'Islamic State' orphans
by EUobserverUK foreign secretary Dominic Raab said the UK has made arrangements to repatriate orphaned children from parents who were involved in the war in Syria, including children from fighters from the so-called "Islamic State". With this the UK joins Germany, Belgium and Australia who made these arrangements earlier. "These innocent, orphaned, children should never have been subjected to the horrors of war," he said.


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Aim is to avoid Alzheimer's disease and dementia. In these diseases you
forget your relatives and yourself. You do not want these diseases.
Here ways to minimize the risk of these diseases.
Avoid saturated fact.
Saturated fat is in milk, cheese, butter, meat.
Also in nariyal, nuts.
You can get till 7% of daily calories from saturated fat. Roughly 15 gm a day is something you can target.
Avoid trans fat.
In cakes, doughnuts, pastries, biscuits, popcorns, candies, fried fast food, frozen pizza.
 That is 1 biscuit, or 2 potato chips. That's all!
Too much iron and copper is getting into our brain. Don't use iron frying pan. And water
stays in copper pipes. Too bad.
Problem is that iron rusts inside the brain. Rusting is another term for oxidizing.
Vitamin E is anti-oxidant. So, that is good for brain.
Found in spinach, walnuts, almonds, mangoes, seeds, sweet potato, avocado.
One handful of walnuts/almonds/seeds per day are enough. No need to have it more.
Have anthocyanins, which too are anti-oxidant.
Found in colored fruits such as grapes, blueberry, musammi, tomato


@(message: String) @Main("Alumni") {
Please use this page to find out about upcoming class reunions. If you would like to add or update information on this page, please email the Webmaster. Thank-you!


HC issues rule on expulsion of students from PEC exams
by bdnews24.comThe High Court has ordered the government to explain why the expulsion of 15 students from the Primary Education Completion (PEC) examinations should not be deemed illegal.
The authorities have also been asked to explain why the fifth graders who were barred from taking the test should not be allowed to retake the exams.
Justice M Enayetur Rahim and Justice Md Mostafizur Rahman issued the rule on their own initiative on Thursday based on a report on the matter carried by the Daily Desh Rupantor on Nov 19 presented by Supreme Court Advocate AM Jamiul Haque.
The bench also asked why instruction No. 11 of the guidelines on Primary Education Completion and Ebtedayee exams issued by the Directorate of Primary Education should not be declared illegal.
Secretary of the Ministry of Primary and Mass Education, director general of the Directorate of Primary Education, director general of the National Academy for Primary Education and the chairman of the madrasa education board have been given two weeks to respond to the rule.
The court adjourned the hearing on the matter until Dec 10.


libSSE can be used to send data regularly to the client such as syncing data from client to server.
In this example, the server sends back the system load every 5 seconds and display the data on a chart.
<?php
require_once('../../src/libsse.php');
//This function fixes those who are in windows
function get_server_load() {
$wmi = new COM("Winmgmts://");
$server = $wmi->execquery("SELECT LoadPercentage FROM Win32_Processor");
$cpu_num = 0;
$load_total = 0;
foreach($server as $cpu){
$cpu_num++;
$load_total += $cpu->loadpercentage;
}
$load = round($load_total/$cpu_num);
} else {
$sys_load = sys_getloadavg();
$load = $sys_load[0];
}
return (int) $load;
}
class SysEvent extends SSETimedEvent { //Beware: use SSETimedEvent for sending data at a regular interval
public $period = 5;//the interval in seconds
public function update(){
}
}
$sse = new SSE();
$sse->addEventListener('data',new SysEvent());
$sse->start();
?>


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I am constantly learning and sharpening my skills. Click each icon to learn more about each of the programming languages!
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ReactJS SQL Django C# CSS AdobeXD


Below are links to the demo files For complete documentation of Bokeh & BokehJS, see the Bokeh PyData Site The Github page for Bokeh can be found here


Amzi!


Celebrration of Yoga Day
IIIT Kota celebrated International Yoga Day on June 21, 2017 in MNIT Jaipur Campus.


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Help! (1965) Rating: 4.0 stars out of 5.0 stars
See this review as it was intended at: http://www.jaxfilmjournal.com/
Cast: John Lennon, Paul McCartney, George Harrison, Ringo Starr, Leo McKern, Eleanor Bron, Victor Spinetti, Roy Kinnear Written by: Marc Behm and Charles Wood Directed by: Richard Lester Running Time: 90 minutes
"Hey, someone's got a hold of me finger." --- Beatles drummer Ringo Starr after getting his hand stuck in a vending machine... the first line spoken by any of The Beatles, in Help!.
Help!, the Beatles' second film, is charmingly goofy fun. The plot (which is completely insignificant by the way) is best described by the back of the box for the film: Help! follows the Fab Four on a worldwide jaunt around the globe. When a fan sends Ringo an ancient sacrificial ring that becomes stuck on his finger, he becomes targeted by a group of hilariously obsessed oriental mystics, as well as an ambitious scientist who has his own plans for the ring. On the run, the Beatles are chased from London to the Swiss Alps to the Bahamas, outwitting their pursuers, singing great songs and having a ball.
All four band members are given their own individual "bits" of comedy. Ringo of course is the bearer of the ring and is constantly on the run, Paul gets shrunk to microscopic size at one point, George has an action sequence where he's hanging onto a moving car (Harrison actually does the stunts too, amazingly), and John... well John basically behaves like a ten year old tormenting everyone, especially those in a position of authority. Best joke of the film though comes at the beginning... the house the Fab Four lives in and what they do when they come home is hilarious!
In interviews I've seen (from The Beatles Anthology I believe), the band members talk about Help! saying it was basically an excuse for them to visit places in the world they hadn't been yet. You can definitely tell that's the case. There's no reason for The Beatles to suddenly show up in the Swiss Alps for a wacky skiing montage, but it's fun nonetheless. The gags and the music are the reason to see this film, not the plot.
Despite the fact that The Beatles are my favorite band of all time, I had avoided watching this film up until this point (when I had to review this DVD release). The Beatles are the greatest rock band in history, but I was worried that their films would be a disappointment, since their expertise is in music of course... not movies. And while they rarely take any of the events going on around them seriously, they do a fine job of being themselves. That's all that's being asked of them.
Help! is available on DVD from MPI Home Video as part of The Beatles DVD Collection (as well as being available separately). The film is presented in its original fullframe aspect ratio. Extras are plentiful on the disc, as it includes: a 1960s interview with director Richard Lester, Lester's short film The Running, Jumping and Standing Still Film, alternate audio tracks in Spanish and French (as well as subtitles in Spanish and French), bios for the filmmakers and the supporting cast members, the original theatrical trailer (and trailers for A Hard Day's Night, Magical Mystery Tour, The Beatles: The First US Visit, and "You Can't Do That": The Making of A Hard Day's Night), two Beatles newsreels, and behind the scenes footage from the production and the film's premiere (accompanied by radio spots promoting the film),
Also on the disc are detailed notes about the restoration process done to the original print of the film (along with A Hard Day's Night). Despite the laborious work put into the restoration of Help!, there still needs to be more. Lots of scratches and artifacts are present throughout... I would have hated to see this print before work began on its restoration!
The disc (and movie for that matter) really excels whenever a Beatles song starts up, and the audio, which is adequate during the film itself, then kicks into high gear. You'll hear Beatles favorites like Help!, You're Gonna Lose That Girl, You've Got To Love Your Love Away, Ticket To Ride, I Need You, The Night Before, and Another Girl (as well as a dramatic score rendition of A Hard Day's Night during the finale).
Beatles fans should definitely add this this DVD to their collection. It's the best transfer of the film available and the extras make it all the more valuable.
Reviewed by Chuck Dowling -<EMAIL_ADDRESS>AOL Instant Messenger: FilmJax The Jacksonville Film Journal - http://www.jaxfilmjournal.com/ -- Chuck Dowling Editor - The Jacksonville Film Journal http://www.jaxfilmjournal.com/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


|
Ocular Engine
|
Public Member Functions | |
| BoundsSphere (std::list< Point3f > const &points, Math::Matrix4x4 const &matrix=Math::Matrix4x4()) | |
| BoundsSphere (std::vector< Graphics::Vertex > const &vertices, Math::Matrix4x4 const &matrix=Math::Matrix4x4()) | |
| BoundsSphere (Vector3f const ¢er, float radius) | |
| void | construct (std::list< Vector3f > const &points, Math::Matrix4x4 const &matrix=Math::Matrix4x4()) |
| void | construct (std::vector< Graphics::Vertex > const &vertices, Math::Matrix4x4 const &matrix=Math::Matrix4x4()) |
| void | setCenter (Vector3f const ¢er) |
| void | setRadius (float radius) |
| Vector3f const & | getCenter () const |
| float | getRadius () const |
| void | expand (float const amount) |
| void | expandToContain (Vector3f const &point) |
| void | expandToContain (BoundsSphere const &other) |
| bool | intersects (Ray const &ray) const |
| bool | intersects (Ray const &ray, Vector3f &point, float &distance) const |
| bool | intersects (BoundsSphere const &bounds) const |
| bool | intersects (BoundsAABB const &bounds) const |
| bool | intersects (BoundsOBB const &bounds) const |
| bool | intersects (Plane const &plane, IntersectionType *result=nullptr) const |
| bool | contains (Vector3f const &point, IntersectionType *result=nullptr) const |
| bool | contains (BoundsSphere const &sphere, IntersectionType *result=nullptr) const |
| Public Member Functions inherited from Ocular::Math::Bounds | |
| BoundsType | getType () const |
| bool | isVisible () const |
| void | setVisible (bool visible) |
Additional Inherited Members | |
| Protected Member Functions inherited from Ocular::Math::Bounds | |
| Bounds (BoundsType const type) | |
| Protected Attributes inherited from Ocular::Math::Bounds | |
| bool | m_Visible |
| BoundsType | m_Type |
| void Ocular::Math::BoundsSphere::construct | ( | std::list< Vector3f > const & | points, |
| Math::Matrix4x4 const & | matrix = Math::Matrix4x4() |
||
| ) |
Constructs the bounds from a collection of spatial points.
| [in] | points |
| bool Ocular::Math::BoundsSphere::contains | ( | Vector3f const & | point, |
| IntersectionType * | result = nullptr |
||
| ) | const |
Calculates if the bounds contains the specified point.
| [in] | point | |
| [out] | result | The exact result of the containment test (intersection, outside, inside). |
| bool Ocular::Math::BoundsSphere::contains | ( | BoundsSphere const & | sphere, |
| IntersectionType * | result = nullptr |
||
| ) | const |
Calculates if any portion of the specified bounding sphere is contained within the spere.
| [in] | sphere | |
| [out] | result | The exact result of the containment test (intersection, outside, inside). |
| void Ocular::Math::BoundsSphere::expand | ( | float const | amount | ) |
Expands the radius of the bounding sphere by the specified amount.
| [in] | amount |
| void Ocular::Math::BoundsSphere::expandToContain | ( | Vector3f const & | point | ) |
Expands the bounding sphere so that it contains the specified point. If the point is already in the sphere then no action is taken.
| [in] | point |
| void Ocular::Math::BoundsSphere::expandToContain | ( | BoundsSphere const & | other | ) |
Expands the bounding sphere so that it contains the second bounding sphere. If the second sphere is already contained then no action is taken.
| [in] | other |
| Vector3f const & Ocular::Math::BoundsSphere::getCenter | ( | ) | const |
Returns the center of the bounding sphere.
| float Ocular::Math::BoundsSphere::getRadius | ( | ) | const |
Returns the radius of the bounding sphere.
| bool Ocular::Math::BoundsSphere::intersects | ( | Ray const & | ray | ) | const |
Performs an intersection test on a ray and bounding sphere.
| [in] | ray |
| bool Ocular::Math::BoundsSphere::intersects | ( | Ray const & | ray, |
| Vector3f & | point, | ||
| float & | distance | ||
| ) | const |
Performs an intersection test on a ray and bounding sphere.
This version of the method also returns the point at which the two intersect. If speed is of the uptmost concern and/or the exact point of intersection is not required, then the other version may be used instead.
| [in] | ray | |
| [out] | point | The point that the ray and bounding sphere intersects. |
| [out] | distance | The distance from the ray origin to the point of intersection |
| bool Ocular::Math::BoundsSphere::intersects | ( | BoundsSphere const & | bounds | ) | const |
Performs an intersection test on two bounding spheres.
| [in] | bounds |
| bool Ocular::Math::BoundsSphere::intersects | ( | BoundsAABB const & | bounds | ) | const |
Performs an intersection test on a bounding sphere and AABB.
| [in] | bounds |
| bool Ocular::Math::BoundsSphere::intersects | ( | BoundsOBB const & | bounds | ) | const |
Performs an intersection test on a bounding sphere and OBB.
| [in] | bounds |
| bool Ocular::Math::BoundsSphere::intersects | ( | Plane const & | plane, |
| IntersectionType * | result = nullptr |
||
| ) | const |
Performs an intersection test on a plane and sphere.
If the result is Inside, then the sphere is located entirely within the plane's positive half space.
If the result is Outside, then the sphere is located entirely outside the plane's positive half space.
The positive half space of the plane is the direction that the plane is facing, as described by it's normal.
As an example, say we have the plane defined as:
Point: (0.0, 0.0, 0.0) Normal: (0.0, 1.0, 0.0)
The plane is 'facing up' along the world origin.
If the intersection test returns Outside, then the AABB is entirely in the +y world space.
If the intersection test returns Inside, then the AABB is entirely in the -y world space.
| [in] | plane | |
| [out] | result | Detailed intersection result. |
| void Ocular::Math::BoundsSphere::setCenter | ( | Vector3f const & | center | ) |
Sets the center of the bounding sphere.
| [in] | center |
| void Ocular::Math::BoundsSphere::setRadius | ( | float | radius | ) |
Sets the radius of the bounding sphere.
| [in] | radius |


Pushpa PIS: I am Pushpa Teli. I am here in this school PODAR INTERNATIONAL school from 4th class.  Because of studying in PODAR. I learnt many things in my life, I learnt how to be self dependent, I learnt how to fight for our own problems. I learnt the best quality that is leadership. I have gained experience of being in council team for 2 years, which has taught me leadership qualities and also it helped me to be confident enough to be a good leader and lead my teammates.
The school has taught me humanity and kindness. During school years we have gone to many places like I have a very good experience of one event-"JOY OF GIVING"; in that students have distributed food, clothes, books and needy items to poor people.
Teachers of the school are best. They have given me so much to learn they have helped me so much in every field. Today whoever I am, it is just because of great teachers.
At last I would like to thank my school and all school Teachers for motivating me and helping me to be a good student. Thank you so much!!
Thank you once again..


{% load grp_tags %} {% load static %} {% spaceless %}
Lidar Breaklines: "data.tnris.org/<--collection uuid-->/assets/<--lowercase dash separated collection name-->-lidar-breaklines.zip"
Lidar Buildings: "data.tnris.org/<--collection uuid-->/assets/<--lowercase dash separated collection name-->-lidar-buildings.zip"
Supplemental Report: "data.tnris.org/<--collection uuid-->/assets/<--lowercase dash separated collection name-->-supplemental-report.zip"
Tile Index: "data.tnris.org/<--collection uuid-->/assets/<--lowercase dash separated collection name-->-tile-index.zip"
WARNING: When you choose from the dropdowns and press 'Save', this application will overwrite/update
the chosen Supplemental Type field for the chosen Collection within the database. The field is updated with a URL to the supplemental
download zipfile uploaded to s3. Requires said file is named correctly (as outlined above) and already uploaded to the s3 bucket. This
form will error if the file is misnamed or has not been uploaded yet.
After saving, zipfile deletion within the Collection change form will still function as normal.


Kernel buffer of each CPU.
More...
#include <Packet.h>
|
| ULONG | P |
| | Zero-based index of the producer in the buffer. It indicates the first free byte to be written. More...
|
| |
| ULONG | C |
| | Zero-based index of the consumer in the buffer. It indicates the first free byte to be read. More...
|
| |
| ULONG | Free |
| | Number of the free bytes in the buffer. More...
|
| |
| PUCHAR | Buffer |
| | Pointer to the kernel buffer used to capture packets. More...
|
| |
| ULONG | Accepted |
| |
| ULONG | Received |
| |
| ULONG | Dropped |
| |
| NDIS_SPIN_LOCK | BufferLock |
| | It protects the buffer associated with this CPU. More...
|
| |
| PMDL | TransferMdl1 |
| | MDL used to map the portion of the buffer that will contain an incoming packet. More...
|
| |
| PMDL | TransferMdl2 |
| | Second MDL used to map the portion of the buffer that will contain an incoming packet. More...
|
| |
| ULONG | NewP |
| | Used by NdisTransferData() (when we call NdisTransferData, p index must be updated only in the TransferDataComplete. More...
|
| |
Kernel buffer of each CPU.
Structure containing the kernel buffer (and other CPU related fields) used to capture packets.
Definition at line 207 of file Packet.h.
Number of packet that current capture instance acepted, from its opening. A packet is accepted if it passes the filter and fits in the buffer. Accepted packets are the ones that reach the application. This number is related to the particular CPU this structure is referring to.
Definition at line 213 of file Packet.h.
Pointer to the kernel buffer used to capture packets.
Definition at line 212 of file Packet.h.
| NDIS_SPIN_LOCK BufferLock |
It protects the buffer associated with this CPU.
Definition at line 225 of file Packet.h.
Zero-based index of the consumer in the buffer. It indicates the first free byte to be read.
Definition at line 210 of file Packet.h.
Number of packet that current instance had to drop, from its opening. A packet is dropped if there is no more space to store it in the circular buffer that the driver associates to current instance. This number is related to the particular CPU this structure is referring to.
Definition at line 221 of file Packet.h.
Number of the free bytes in the buffer.
Definition at line 211 of file Packet.h.
Used by NdisTransferData() (when we call NdisTransferData, p index must be updated only in the TransferDataComplete.
Definition at line 228 of file Packet.h.
Zero-based index of the producer in the buffer. It indicates the first free byte to be written.
Definition at line 209 of file Packet.h.
Number of packets received by current instance from its opening, i.e. number of packet received by the network adapter since the beginning of the capture/monitoring/dump session. This number is related to the particular CPU this structure is referring to.
Definition at line 217 of file Packet.h.
MDL used to map the portion of the buffer that will contain an incoming packet.
Definition at line 226 of file Packet.h.
Second MDL used to map the portion of the buffer that will contain an incoming packet.
Definition at line 227 of file Packet.h.
The documentation for this struct was generated from the following file:


{% extends 'layout.html' %} {% block pageTitle %} Card draft guidance - Design system testing {% endblock %} {% block beforeContent %} {{ breadcrumb({ href: "/", text: "Home" }) }} {% endblock %} {% block content %}
Use a card to provide users with a brief summary of content or a task, often with a link to more detail. Cards are frequently displayed alongside other cards to group related content or tasks.
Cards should be easy to scan for relevant and actionable information. They can contain multiple elements, such as an image, title, text and links.
For cards that contain a single link, the hit area for that link can be made to wrap the entire card.
We avoid wrapping an entire card in an anchor tag as this can be a difficult experience for a screen reader user.
By default, the card image is set as a decorative image, with the alternative text being null.
Multiple cards can be grouped to display a collection related topics.
You should prioritise the cards so the content users most need to know comes first.
We define the width of the cards using the grid system.
For example, nhsuk-grid-column-one-half
is used to make the cards half width:
For thirds use nhsuk-grid-column-one-third
:
For quarters use nhsuk-grid-column-one-quarter
:
Make sure your headings reflect the page structure by changing the level of the heading.
Here's an example of replacing the default h2
heading with a h3
:
You can change the size of the heading using heading typography styles.
Here's an example of using a h3
with a nhsuk-heading-s
class to reduce the size of the heading:


{% extends 'base.html'%} {% block content %}
Welcome to Spotify Me an app designed by Brian Gribbon utilizing the Spotify API to get the most out of Spotify's track data. Currently optimized for desktop.


CRUD Operations
Enter Task
Enter Description
Add Task
Delete Task
Save Task
Load Task
Sort Task
Search Task


This method assumes that browser or script clients that are outside the private network will access the server using an existing VPN gateway.
nodejs
Install MongoDB Community Edition
Installation may require root access.
If the ScriptRemote server needs to use an existing, networked MongoDB service
then the procedure below needs to be slightly modified. You will need to set
the MONGO_URL
or MONGO_HOST_PORT
environment variable (see config/env/production.js)
and you may need to add MongoDB credentials to the .env file.
Login as a non-root user
>$ cd ~ (or your preferred install location) >$ npm install scriptremote --production >$ mv node_modules/scriptremote .
First set up an email forwarding account. This will be used to send security-related messages and user notifications. Rather than using an existing account, you may want to create one just for this purpose.
Then copy the sample credentials file and substitue your values
for the MAILER dummy values:
Some services are stricter than others about relaying mail.
To help ensure that mail can be sent choose the same
provider as expected for registered user emails, and set
MAILER_FROM to the same address as MAILER_EMAIL_ID.
If users will have a variety of email providers then
consider using a service like mailgun. Any mailing errors
will be logged to the console. If there is a problem it
will probably first show up when registering the admin
user below.
Second, generate a random string for the session middleware.
For example:
>$ openssl rand -base64 32
Substitute the result for the SESSION_SECRET value in .env
Skip this if root access is not possible
sudo setcap 'cap_net_bind_service=+ep' /usr/local/bin/node
>$ cd ~/scriptremoteIf root access is possible:
>$ npm run productionThis should start the server listening on port 80.
If root access is not possible:
>$ export SRPORT=3000 >$ npm run productionThis should start the server listening on port 3000, which normally does not require root access.
Connect to the server in your browser.
Select Login/Register on the home screen and then Register Here on the login screen. The registration screen should display a message that the admin account is being registered.
Continue the registration by entering at least an email and password, and by selecting one of the options for registration of other users. The default is to allow other users to register themselves. You can also select a timeout for idle sessions.
A confirmation email should be sent to the registered address. Complete the registration by submitting the token value from the email into the form displayed when attempting to login.
Return to the home page and login using the admin account.
Get script credentials by selecting Settings in menu bar and then selecting Generate in the API Credentials section. The User Id and Token values will be needed to authenticate messages to the server from scripts.
Copy the API credentials obtained above to a test machine in the private
network. Get the bash utility script scriptremote/public/dist/srio.sh
from the local scriptremote installation.
Set SRSERVER
to the IP address and port or url of your server,
by editing the script or as an environment variables. The protocol should be http
.
If there is a web proxy between the
script and your server it may also be necesary to set the http_proxy
environment variable.
>$ export SRSERVER=<your-url>Create a simple test:
>$ cat > test.sh #!/bin/bash . ./srio.sh SR_start ${SRUSER} ${SRTOKEN} 'myproject' 'myjob' SR_set 'msg1' 'Hello World' 'False' SR_send 'mylocation' SR_endExport the API credentials to the test script and run it:
>$ export SRUSER=<your-userid> >$ export SRTOKEN=<your-token> >$ bash test.shCheck that the test message can be viewed in the browser by selecting Projects in the menu bar.
Since the admin has elevated priviledges to do things like viewing user details and registering new users, it is best for security purposes to minimize use of that account. Instead register as a normal user for actual projects.
If the ScriptRemote server is a shared system you may want to enable authentication for MongoDB. Without authentication anyone with user access to the system can also access the database. MongoDB supports elaborate authentication/authorization schemes but for simplicity the following just sets up a "root" user with all access.
Create the user in the mongo shell:
>$mongo > use admin > db.createUser( > { > user: "<mongo-user>", > pwd: "<mongo-password>", > roles: [ "root" ] > } >) >exitThen enable authentication in the mongo config file, which is often located at /etc/mongod.conf. Depending on the file format add either:
security: authorization: enabledor
auth = trueThen restart mongod:
>$ sudo restart mongodCheck that the credentials work in the mongo shell:
>$ mongo -u "mongo-user" -p "mongo-password" --authenticationDatabase "admin"Edit the ~/scriptremote/.env file to uncomment the mongo credentials and substitute your values, then restart the ScriptRemote server.
You may want to enable limits on the amount of message data that can be sent to the server, for example to help protect against scripting errors that could produce very large or very many messages. The available limits are defined in
config/env/all.jsAny of them may be set as environment variables or added to the .env file prior to starting the server.
Additional References:
An Introduction To The MEAN Stack
MEAN.JS
MEAN.IO


How Much Do You Know About the MLB?
How many positions are there in baseball?
Eight PositionsTen Positions
Nine Positions
Six Positions
Who was the first African American to play baseball in the MLB?
Jackie RobinsonSammy Sosa
Mickey Mantle
Cal Ripken Jr.
Who is the all-time home run leader in the MLB?
Babe RuthAlbert Pujols
Barry Bonds
Derek Jeter
Who holds the record of most hits in a MLB season?
Derek JeterKris Bryant
Ichiro Suzuki
Pete Rose


The answer is simple—Python changes because there is such a need. The competition does not sleep. Every few months a new language pops out out of nowhere claiming to solve problems of all its predecessors. Most projects like these lose developers' attention very quickly and their popularity is driven by a sudden hype.
Anyway, this is a sign of some bigger issue. People design new languages because they find the existing ones unsuitable for solving their problems in the best ways possible. It would be silly not to recognize such a need. Also, more and more wide spread usage of Python shows that it could, and should, be improved in many places.
Lots of improvements in Python are often driven by the needs of particular fields where it is used. The most significant one is web development, which necessitated improvements to deal with concurrency in Python.
Some changes are just caused by the age and maturity of the Python project. Throughout the years, it has collected some of the clutter in the form of de-organized and redundant standard library modules or some bad design decisions. First, the Python 3 release aimed to bring major clean-up and refreshment to the language, but time showed that this plan backfired a bit. For a long time, it was treated by many developers only like curiosity, but, hopefully, this is changing.


Mary Beth Buescher
Democrat
Retired attorney
St. Mary's College, Notre Dame, Indiana. B.A. cum laude 1971 University of Colorado, J.D. 1974
81506
Volunteered for Bernie Buescher, John Hickenlooper, Diane Mitsch Bush, Phil Weiser. Donated to Kamala Harris, Bob Rankin, Diane Mitsch Bush, Michael Bennet, Cary Kennedy, Joe Neguse, Gayle Berry, John Hickenlooper
Western Colorado Community Foundation Board Member, Colorado Commission on Higher Education Commissioner, Mental Health Colorado Board Member, Riverside Educational Center Board Member
I have done this in connection with all of the boards I have been on, serving in leadership positions, presenting to groups and recruiting others to the cause.
because it is a unique opportunity to help create a better Colorado.
It is important to seek areas of agreement and be aware of areas of disagreement in order to keep parties at the table. Build on the areas of agreement, winnow out the rest, sometimes reserving them for a future discussion. Serving food always helps!
My legal training provides some ability to apply logic and reason to a problem. Of course, the problem with legal training a tendency to nitoick the process instead of seeking a broad consensus.
Female


These data of San Paulo city are too high than the other cities, so we plot them in a separed chart.
Excluded San Paulo city
Most transmissible cities with population higher than 10,000.


Creeper Release New Video For Born Cold
Watch the video for Creeper’s comeback single, Born Cold
Southampton goth-punks Creeper have dropped a new video for Born Cold, the first new music since their surprise comeback last month.
It’s the first new music from the enigmatic six-piece since 2017’s debut album Eternity, In Your Arms. And as you might expect, the storyline and mythology surrounding the band is expanding even further.
READ THIS: Creeper’s Will Gould: The 10 songs that changed my life
“The video reveals the world and themes of the new album for the first time,” says frontman Will Gould. “It also introduces fans to the first of the new characters in the Creeper universe; Roe, a man from another world.”
Speaking previously about the song, Will said: “This song is the introduction of one of the more villainous characters from our new story. It was inspired by what the Thin White Duke was for David Bowie – a more selfish, narcissistic character.”
Discussing the creation of their upcoming second album (written and recorded in Hollywood as well as Southampton), he added: “Creeper was always about theatrics and cinema; as much about the aesthetic as the music. So we took it to Hollywood and made it in the shadow of some of our favourite films, where some classic records have been made, and let it become something else. In Born Cold, you can hear the DNA of the band and listen to it be transformed with the addition of some of the new elements that we’ve added to the process.”
There’s been no official word on when to expect album two from Creeper, but keep your eyes on Kerrang! for the latest news.
Creeper return to the stage next year supporting BABYMETAL across the UK. Get your tickets here.
BABYMETAL UK tour 2020
February
19 Glasgow, Barrowland
20 Cardiff, The Great Hall
22 Manchester, O2 Apollo
23 London, Hammersmith Eventim Apollo
READ THIS: Horror punk: 19 songs you need to know


built on top of Sitecore’s Habitat(a real Sitecore project implemented on the Sitecore Experience Platform to show how Helix is applied and lets developers experience a project based on these principles)
adheres to Helix guidelines & recommendations (a set of design principles and conventions for Sitecore development)
is completely extensible and upgradable using Sitecore Helix Compliance standards


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Assignments
HW01 Hello Teedy
HW02 Learning the Codebase
HW03 Teamwork
HW04 Microservices
HW05 Quality Assurance
HW06 Open Source Excursion
Recitations
Recitation 2 - Angular.js and MVC
Recitation 3 - Software Archaeology
Recitation 4 - Team Dysfunction
Recitation 6 - Midterm Review
Recitation 7 - Machine Learning
Recitation 8 - static analysis and continuous integration
Recitation 9 - Open Source Projects
Calendar
Schedule
Staff
Syllabus
Weekly Schedule
Date
Topic
Reading
Homework Due
Lecture
Aug-30
Intro
Recitation
Aug-31/Sep-2
Git Collaboration
Handout
Lecture
Sep-1
Metrics and Measurement
Lecture
Sep-6
Case Study 737MAX
news article
Recitation
Sep-7/9
Angular.js and MVC
Handout
Lecture
Sep-8
Code Archaeology
HW1 due
Lecture
Sep-13
Milestones, estimation, planning
Recitation
Sep-14/16
Software Archaeology
Handout
Lecture
Sep-15
Teams and Communication
Recitation
Sep-21/23
Team Dysfunction
Handout
Lecture
Sep-20
Risk and Mistakes
Lecture
Sep-22
SE Deployment Workshop
Pre-lecture prep: Heroku
HW2A due
Lecture
Sep-27
Software Quality in Practice
HW2B due
Recitation
Sep-28/30
HW2 Presentations
Lecture
Sep-29
Architecture: Intro and Overview
HW3A due
Lecture
Oct-4
Architecture: Microservices
Recitation
Oct-5/7
Midterm Review
Lecture
Oct-6
Collaborative Development: Documentation and Testing
HW3B due
EXAM
Oct-11
MIDTERM
Recitation
Oct-12/14
NO RECITATION
Lecture
Oct-13
Architecture: Design Documents
HW3C due
Oct-18
NO CLASS
Oct-20
NO CLASS
Lecture
Oct-25
SE4ML
Recitation
Oct-26/28
NO RECITATION
Lecture
Oct-27
SE4ML
Lecture
Nov-1
Ethics
HW4A due
Recitation
Nov-2/4
Machine Learning
Handout
Lecture
Nov-3
QA: ML
Lecture
Nov-8
QA: Fairness
HW4B/C due
Recitation
Nov-9/11
Analysis and CI
Handout
Lecture
Nov-10
Static and Dynamic Analysis
HW4D due
Lecture
Nov-15
QA: Advanced Automated Testing
Recitation
Nov-16/18
Open Source Projects
Handout
Lecture
Nov-17
Open Source Software
Nov-18
HW5 due
Nov-22
NO CLASS
Nov-24
THANKSGIVING
Lecture
Nov-29
Software Dependency Management
User Study
HW6A due
Recitation
Nov-30/Dec-2
HW6 Checkin-Presentations
Lecture
Dec-1
Software Patents
Decision Making
Lecture
Dec-6
Employment Concerns
Recitation
Dec-7/9
Lecture
Dec-8
Pre-lecture prep: healthcare.gov
Dec-12
HW6B due
Finals
Dec-13 / 15
Project Presentations
Dec-15
HW6C/D due
Dec-19
HW6 Bonus due


I have had two seperate problems with coffee/caffeine. When I was seventeen and eighteen I would drink many cups a day of coffee. I was young and I thought it was a good feeling to have the energy buzz, not to mention trying to avoid the crash that came if I didn't drink. But I noticed I got insomnia and had horrible sleep, and I tried different methods to combat it, including meditation. What worked the most effectively was quitting coffee and caffeine. For five years I didn't drink caffeine or coffee. Then by a fluke in trying to relieve stress, I started drinking caffeinated sodas again.
I was still aware that I didn't want to become addicted to caffeine, so I limited my intake to about one caffeinated buzz every month. I was able to avoid coffee, because I knew that would hook me the most, so it was either cokes or teas. So this went on for two years. And then I moved to LA, and I was working in the film industry. For whatever reason of conformity I began drinking coffee daily and getting caffeinated daily, too. I was trying to get an 'edge' to help me get a job, because it was swimming with sharks out there. But once again, I noticed that I was getting insomnia. Another thing I noticed was I would get edgier and was easier to aggravate, which was a quality I had seen in my family members all the years I had been caffeine free, and it was a quality I saw which repulsed me and helped me stay away from caffeine. So, in LA I got further and further away from my lucid calmness and more and more into a driven thoughtless machine.
So, after a couple months I gave up caffeine cold turkey, which made me crash for three weeks. I would sleep for 18 hours a day for three weeks. I couldn't stay awake. I figured it was from the months of insomnia and probably some depression mixed in there as well. So since then I will go for weeks drinking coffee or caffeine, and then maybe last three weeks without it. I have been smart in one respect though, which is I usually don't drink caffeine or esp. coffee, after 12 noon, and almost never drink it after 4pm. I try my hardest not to drink it, it feels gross to be addicted to something. Which is how I would describe my relation to caffeine. I would prefer to be slower, think slower, and have that peace than to drink coffee, always be in motion, always think I am right, etc.
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.


In Need of a booze and some quick night studying? We got you!
Beer Connection was created to help you locate the nearest facilities to your current location that serves beer and provides Wi-Fi services. Simply enter the current zip code you are in and WALAH! You now have options of places to go to have a cold one, network, and program!
Inspiration for the application came from four individuals who wanted to find a nice relaxing place to go later in the day to unwind, code, and enjoy a nice cold brewsky!
Feel free to enter your email address above to subscribe to our mailing list. Email notifications will then be sent to you letting you know of new things that are happening, such as when new beer selections are available at your nearest and favorite beer serving facility!
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PyCharm is an Integrated Development Environment (IDE) used in computer programming, specifically for the Python
language. It is developed by the Czech company JetBrains. It provides code analysis, a graphical debugger, an
integrated unit tester, integration with version control systems (VCSes), and supports web development with Django
as well as data science with Anaconda. PyCharm is cross-platform, with Windows, macOS and Linux versions. The
Community Edition is released under the Apache License, and there is also Professional Edition with extra features –
released under a proprietary license.
Getting started guide
1. Creating the python script
Open PyCharm and create a folder named ‘src’ Create a file under ‘src’ folder named my_script.py and add the below
lines
# Sample taken from pyStrich GitHub repository
# https://github.com/mmulqueen/pyStrich
from pystrich.datamatrix import DataMatrixEncoder
encoder = DataMatrixEncoder('This is a DataMatrix.')
encoder.save('./datamatrix_test.png')
print(encoder.get_ascii())
2. Creating a blueprint for docker image with python interpreter
Create a file 'Dockerfile' (without extension) under 'src' folder and add the below lines
FROM python:3
ADD src /src
RUN pip install pystrich
CMD [ "python", "./src/my_script.py" ]
3. Setting up Docker container as runtime
4. Executing the python script on Docker
We will now create a run configuration in PyCharm to execute the python script we created, using the python
interpreter running on a Docker image instead of using a local interpreter.
Congratulations! You have successfully created and executed your first python program on Docker using Pycharm.
For tutorial follow ->
Integrating docker git python with
pycharm


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