These Sony Xperia phones are getting Android 10, starting in December
by Chris SmithSony has confirmed its Android 10 roadmap for a number of its leading smartphones, and the good news is the rollout will begin before the end of the year.
If you’re the proud owner of a Sony Xperia 1 or the recently-announced Xperia 5 smartphones, those handsets will be the first to receive the latest version of Google’s operating system.
Sony isn’t committing to any specific release dates at present, so the launch could come in just two weeks, or it could be on the last day of the year. Even then, it’s probably unlikely to be a straightforward rollout.
What about the other Sony Xperia devices in the portfolio, you ask? Well Sony is now confirming the Xperia 10, 10 Plus, XZ2, XZ2 Compact, XZ2 Premium and XZ3 will also get Android 10. Sony says owners of those devices can access the upgrade from early 2020 onwards, so even less clarity there.
Related: Best Android phones 2019
In a blog post Sony also points out that: “Software rollouts are a phased process – timing and availability will vary by market and/or operator. Most models supported but some operator/market exceptions will apply.”
The Sony Xperia 5, the latest in the range, which we called “smaller, cheaper Xperia with a large, super-wide display,” earned 4/5 stars in our review last month.
We praised the phone for having the best camera we’d ever used on a Sony handset, the attractive OLED display and the distinctive Sony design. It lost points for its 21:9 aspect ratio and questionable value compared to rival devices.
Our reviewer wrote: “Hot on the heels of the Xperia 1, the Xperia 5 is another strong flagship-level phone from Sony, this time offering a slightly better balance between top-end specifications and everyday practicality. The Xperia 5 sacrifices a little of the wow factor for a little more usability – but we’re quite happy with the trade-off.”
Chris Smith is a freelance technology journalist for a host of UK tech publications, including Trusted Reviews. He's based in South Florida, USA. …
Unlike other sites, we thoroughly review everything we recommend, using industry standard tests to evaluate products. We’ll always tell you what we find. We may get a commission if you buy via our price links. Tell us what you think – email the Editor


Week 7 Technical Blog - SQL vs. NoSQL
SQL or Relational Database Management Systems
Structured and Relational, SQL databases group their data together into logical tables. A person has a name, age, weight, height, hair color, etc. so in SQL we structure a person as a table in the database where there are columns for each characteristic of that person. You can then have a new person for each row in the person table.
SQL databases also rely heavily on having identity columns in a table so that each row in a table becomes unique. This also has the added advantage of being able to relate data in one table to data in another.
SQL databases rely on the SQL language(Structured Query Language) to query their data. This language is standard across almost all SQL type database software. This gives SQL databases a leg up as there is less of a learning curve when dealing with vendor specific software.
SQL queries can be very complex and allow a flexible way of grouping data together for consumption. This is something that NoSQL is not very good at.
SQL Databases Focus on the acronym ACID to ensure their data is valid. here is a break down of that acronym.
- Atomicity - Each transaction is atomic. If one part fails, the entire transaction fails.
- Consistency - Every transaction is subject to a consistent set of rules.
- Isolation - No transaction should interfere with another transaction.
- Durability - Once a transaction is committed, it remains committed.
Because of ACID, SQL databases are very consistent and their data can be trusted to be valid.
NoSQL
NoSQL stands for Not Only SQL and has no structure or schema. It is basically a large serialized object store. Comparisons can be made between it and json in JavaScript. There is a key and their is a value that is most often an object or document.
Because of this, NoSQL databases do not support complex queries. There is no joins, there is no grouping. If you wish to have this type of functionality with NoSQL then you must handle it in your own code.
NoSQL also has no standard query language like SQL. Each vendor of NoSQL like databases have their own proprietary approach to querying their data. This adds a learning curve to using NoSQl databases.
NoSQL does not use ACID and as such has none of the overhead pertaining to it. NoSQL, instead, User BASE which is the opposite of ACID and is broken down below.
- Basically available - guaranteed availability.
- Soft-state - The state of the system may change, even without a query.
- Eventually Consistent - The system will become consistent over time.
NoSQL scales horizontally(multiple servers) with ease. NoSQL databases can be hosted on multiple servers and any server can answer any query. Any write query can write to any database regardless of server and have that data propagate to the other servers. Servers communicate amongst themselves at their own pace. Because of this a server that answers a query may not have the latest data.
It is this paradigm that makes NoSQL data less than consistent and not always right but it is also why NoSQL databases have high availability. If one server goes down, the other servers are still available to handle queries.
There are 4 main types of NoSQL databases and they are:
-
Column Store
- Column data is saved together as opposed to row data
- Examples - Hadoop, Cassandra, Hypertable
-
Key-Value Store
- A key that refers to a payload
- Examples - Memcache, Azure Table Storage, Redis
-
Document/XML/Object Store
- Key(and possibly other indexes) point to a serialized object
- Examples - MongoDB, CouchDB, RavenDB
-
Graph Store
- Nodes are stored independently and relationship between nodes(edges) are stored with data
Conclusion
SQL or relational database management systems are great when your data has to be structured and valid. The ACID model for these types of database systems work well for data from business such as banking, finance, and safety systems. SQL databases are also great for complex queries. They scale vertically easily through hardware but poorly horizontally through multiple servers.
NoSQL databases are great for having high availability for data as they scale both horizontally and vertically. This also has a great benefit of increasing access speeds to data. With out the ACID model, data is not guaranteed to be valid. Querying one server may result in data that is not the most recent. If speed and availability is key then NoSQL may be your answer.
Resource


March, 1874.
The great magician Harry Houdini was born in Budapest, Hungary.
May, 1902.
The Society of American Magicians (SAM) was formed in Martinka's Magic Shop in New York City.
January, 1911.
'Our Magic' by Nevil Maskelyne was published, one of the first publications to focus on the theory of magic.
January, 1921.
The Sawing a Woman in Half trick was first successfully executed by P.T. Selbit in London
September, 1940.
Edward M. Massey invented the "Finger Chopper Trick" mechanism.
January, 1853.
Adelaide Hermann is born. Adelaide is known as one of the greatest female magicians of all time.
June, 1877.
Martinka and Co. was founded in New Jersey by two brothers, and is still running today!
Unknown, 1905.
The Magic Circle organization was founded in London. Dedicated to promoting the art of magic, members were sworn to magical secrecy.
January, 1918.
Houdini performed the "Vanishing Elephant" trick at New York's Hippodrome Theatre.
October, 1926.
Harry Houdini dies at age 52 on Halloween Day.


The issue
You may be using opensource libraries within your iOS project. (If you don’t, you should, it’s a great time-saver. Check here for some starters.)
As you may know, XCode may sometimes become really painful when dealing with the compilation and linking of external libraries. It may just work fine when compiling for development, but when you want it compiled for distribution, XCode may just not agree anymore.
I just faced such an issue this morning. This time, I met the ld: library not found for...
error:


How to use contaminante
¶
This tutorial will show you how to use contaminante
. If you’d like
to try it yourself, you can use contaminante
online, in the cloud,
for free! Click
here
to run contaminante
online using Google’s Colaboratory.
Using contaminante
on Kepler data¶
To demonstrate contaminante
we’ll first use Kepler data. First
we’ll need a target to try contaminante
on. I’ve chosen KIC
6804648. This target was observed during the prime Kepler mission,
and was flagged as a planet candidate. In fact, the target has a
contaminating eclipsing binary. This binary is only obvious in some of
the Kepler quarters.
Below we run the target through contaminante
. Running this cell
should take less than 5 minutes.
In [1]:
import contaminante
In [2]:
fig, result = contaminante.calculate_contamination(targetid='KIC {}'.format(6804648),
period=0.700606,
t0=131.59767,
duration=0.993/24,
mission='kepler')
Modeling TPFs: 100%|██████████| 18/18 [00:36<00:00, 2.03s/it]
Using contaminante
we can see two pieces of evidence that this
target is contaminated. 1. There is a significant offset between the
center of the target (green cross) in the image, and the source of
the transiting signal (red cross). 2. There is a significant
difference between the target phase curve (green phase curve) and
the source of the transiting signal phase curve (red phase curve).
The result dictionary contains the depth and positions of the target and the "contamintor", including errors. It also contains a flag for whether the target is "contaminated". The user is encouraged to 1) look at the phase curves 2) look at the positions and transit depths before claiming that a target is contaminated.
In [5]:
result
Out[5]:
{'target_depth': (2.437439290625676e-05, 1.4287201027303745e-06),
'target_ra':<PHONE_NUMBER>530856, 5.7953788757665565e-05),
'target_dec': (42.241117253820924, 3.2758717230643706e-05),
'target_lc': KeplerLightCurve(ID: 6804648),
'contaminator_depth': (0.0037489874455257644, 3.872165901816627e-06),
'contaminator_ra':<PHONE_NUMBER>5210516, 0.0011172397969751028),
'contaminator_dec': (42.24132717783978, 0.001750973326888842),
'contaminator_lc': KeplerLightCurve(ID: 6804648),
'delta_transit_depth[sigma]':<PHONE_NUMBER>044372,
'contaminated': True}
To compare, we can look at a target that is a true, confirmed planet.
Below I run the parameters for Kepler-10 through contaminate
.
In [6]:
fig, result = contaminante.calculate_contamination(targetid='KIC {}'.format(11904151),
period=0.837491,
t0=2454964.57513 - 2454833,
duration=1.8076/24,
mission='kepler')
Modeling TPFs: 100%|██████████| 15/15 [00:36<00:00, 2.42s/it]
Sometimes there will be no significant transiting source that was not the target, and so there will be no red cross in the image, and no red phase curve in the phase curve diagram. Sometimes there will be a weak detection that there are other pixels that contain the transit, but there is frequently no significant shift if
- The two sources line up in the image
- There is no significant difference between the target aperture and the source aperture.
Cases such as this can suggest the aperture you are using may not be optimal to recover all of the transiting signal.
In [7]:
result
Out[7]:
{'target_depth': (0.0001585059932727173, 5.774540046382073e-07),
'target_ra':<PHONE_NUMBER>1477347, 4.4847243013086534e-05),
'target_dec': (50.24221759254663, 3.907218782625415e-05),
'target_lc': KeplerLightCurve(ID: 11904151),
'contaminator_depth': (0.00015769371397011955, 5.777815686580617e-07),
'contaminator_ra':<PHONE_NUMBER>4215626, 0.0020506936549865404),
'contaminator_dec': (50.24189275482509, 0.0012837499690906413),
'contaminator_lc': KeplerLightCurve(ID: 11904151),
'delta_transit_depth[sigma]': -0.9943741229438438,
'contaminated': False}
Using contaminante
on TESS Data¶
contaminante
works on TESS data too. The background scattered light
is removed using principle component analysis. For targets that are
available in the TESS pipeline TPF products, the TPFs will be used. If
no TPF is available, the data will be cut out of the FFI’s using the
TESSCut API from MAST.
In [13]:
fig, result = contaminante.calculate_contamination(targetid="TIC 267263253",
period=4.12688,
t0=2458325.78297 - 2457000,
duration=0.3, mission='tess', bin_points=100)
Modeling TPFs: 100%|██████████| 1/1 [00:05<00:00, 5.81s/it]
In [10]:
result
Out[10]:
{'target_depth': (0.005182381951214454, 1.6952457341447885e-05),
'target_ra': (7.327318046083178, 0.00012152131752412386),
'target_dec': (-76.29980287907736, 2.770077456958133e-05),
'target_lc': TessLightCurve(TICID: 267263253),
'contaminator_depth': (0.004565119721199884, 1.53809390750107e-05),
'contaminator_ra': (7.306743961884151, 0.003854842392685067),
'contaminator_dec': (-76.30100115401925, 0.0008164741588276988),
'contaminator_lc': TessLightCurve(TICID: 267263253),
'delta_transit_depth[sigma]': -26.966278229044057,
'contaminated': False}
Using contaminante
on K2 Data¶
contaminante
works on K2 data too. The motion noise is removed using
the same Self Flat Fielding technique used in lightkurve
. Because of
the K2 motion the results may be a little harder to interpret. For
example, below there is a slight shift in the centroid, but the light
curve from that target is not different from the main target. This is
likely due to the pipeline apertures for K2 being slightly too small.
In [14]:
fig, result = contaminante.calculate_contamination(targetid="EPIC 211732801",
period=2.1316925,
t0=2308.407161,
duration=0.3, mission='K2', bin_points=5)
Modeling TPFs: 100%|██████████| 3/3 [00:06<00:00, 2.15s/it]
In [15]:
result
Out[15]:
{'target_depth': (0.029339788514284426, 9.746534372220217e-07),
'target_ra':<PHONE_NUMBER>2826042, 5.198237267478989e-05),
'target_dec': (16.365801390325778, 0.0006597234476580658),
'target_lc': KeplerLightCurve(ID: 211732801),
'contaminator_depth': (0.029254710203185708, 1.0110600747233652e-06),
'contaminator_ra':<PHONE_NUMBER>796461, 0.00033188657824217494),
'contaminator_dec': (16.365707859466685, 0.00031772586759459354),
'contaminator_lc': KeplerLightCurve(ID: 211732801),
'delta_transit_depth[sigma]': -60.58209476522818,
'contaminated': False}
Usage notes¶
- Different quarters, campaigns and sectors. If a target has multiple quarters, campaigns or sectors you can expect each dataset to have some slight offset, due to the target falling on different pixels.
- Shallower contaminator light curves.
Contaminante
looks at each pixel individually to see if there is a significant transit signal. Because faint pixels can contribute a transiting signal at a lower, less significant level, some faint pixels can be missed in contaminante. In the case that the contaminator light curve is shallower than the target light curve, it is likely that some faint pixels have been missed from the optimum aperture. This does not indicate that there is any contamination.


{% extends "backend/layout.html" %} {% block content %} episodes New episode {% for episode in episodes %} #{{ episode.id }}: {{ episode.title|e }} [Delete] {% endfor %}
New episode


---
layout:post
categories:toeza
tags:toeza
title:wikiHow to Deal Playing Cards
date:2016-12-07 14:32:45 +0800
---
Edit Article
wikiHow to Deal Playing Cards
Community Q&A
To ensure that every player in a card game gets an even amount of cards, they need to be dealt out. There's a few strategies to do this.
Steps
1
Know the basics.
Read the game rules, to see if each player gets an even amount of cards or a different amount.
Check to see if the game requires a separate pile on the side. This extra pile is known as a "kitty" or "discard pile". It can be used as extra cards to play in the game, a discard pile for unwanted cards, or leftover ones that aren't going to be used in the game.
2
Count how many people are playing the game. The smaller amount of people that play, the more cards a person gets, as well as the higher amount of people, the less cards a person gets. Assuming that the entire deck without Jokers are dealt, this is a general guide:
2 people = 26 cards each with 0 leftovers
3 people = 17 cards each with 1 leftover
4 people = 13 cards each with 0 leftovers
5 people = 10 cards each with 2 leftovers
6 people = 8 cards each with 4 leftovers
7 people = 7 cards each with 3 leftovers
8 people = 6 cards each with 4 leftovers
3
Shuffle the cards thoroughly. Make sure that the cards are facing down to ensure that no one can see what other people are getting.
4
Start out with the person on your left when dealing the cards. Move clock-wise in a circle and give yourself a card last. Repeat the process until the amount of cards specified in the rules are distributed.
5
Place any leftovers in the middle as the "discard pile".
6
Double check the amount of cards distributed. Once the discard pile is made, do a card count. Everyone should have the same amount of cards, except if the card rules says differently.
7
Know that for the next game, the person to the left of the previous dealer is the new dealer. The previous dealer then gets the 2nd to the last card of the "round".


'Twas brillig, and I babbled guff
Until my listeners cried “Enough!”
And stopped my gob with a plug of dough
And then it was that I knew woe.
 To the seaside I suppose
To my seaside chalet o' prose
To thump my typewriter's leaden keys
And write of hornets, wasps, and bees


Forty-five million voice-assisted devices are now in use in the U.S., according to eMarketer, and that
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Gecode::region_allocator< T > Struct Template Reference
[Using allocators with Gecode]
Allocator that allocates memory from a region. More...
#include <allocators.hpp>
Classes | |
| struct | rebind |
| Rebinding helper (returns the type of a similar allocator for type U). More... | |
Public Types | |
| typedef T | value_type |
| Type of objects the allocator creates. This is identical to T. | |
| typedef size_t | size_type |
| Type that can represent the size of the largest object. | |
| typedef ptrdiff_t | difference_type |
| Type that can represent the difference between any two pointers. | |
| typedef T * | pointer |
| Type of pointers returned by the allocator. | |
| typedef T const * | const_pointer |
| Const version of pointer. | |
| typedef T & | reference |
| Non-const reference to T. | |
| typedef T const & | const_reference |
| Const reference to T. | |
Public Member Functions | |
| region_allocator (Region ®ion) throw () | |
| Construction. | |
| region_allocator (region_allocator const &al) throw () | |
| Copy construction. | |
| template<class U > | |
| region_allocator (region_allocator< U > const &al) throw () | |
| Copy from other instantiation. | |
| pointer | address (reference x) const |
| Convert a reference x to a pointer. | |
| const_pointer | address (const_reference x) const |
| Convert a const reference x to a const pointer. | |
| size_type | max_size (void) const throw () |
| Returns the largest size for which a call to allocate might succeed. | |
| pointer | allocate (size_type count) |
| Allocates storage. | |
| pointer | allocate (size_type count, const void *const hint) |
| Allocates storage. | |
| void | deallocate (pointer p, size_type count) |
| Deallocates storage. | |
| void | construct (pointer element, const_reference t) |
| Constructs an object. | |
| void | destroy (pointer element) |
| Calls the destructor on the object pointed to by element. | |
Public Attributes | |
| Region & | region |
| The region that we allocate objects from. |
Detailed Description
template<class T>
struct Gecode::region_allocator< T >
Allocator that allocates memory from a region.
Note that this allocator may be used to construct dynamic data structures that allocate memory from the region, or even reside in the region as a whole.
Definition at line 338 of file allocators.hpp.
Member Typedef Documentation
| typedef T Gecode::region_allocator< T >::value_type |
Type of objects the allocator creates. This is identical to T.
Definition at line 340 of file allocators.hpp.
| typedef size_t Gecode::region_allocator< T >::size_type |
Type that can represent the size of the largest object.
Definition at line 342 of file allocators.hpp.
| typedef ptrdiff_t Gecode::region_allocator< T >::difference_type |
Type that can represent the difference between any two pointers.
Definition at line 344 of file allocators.hpp.
| typedef T* Gecode::region_allocator< T >::pointer |
Type of pointers returned by the allocator.
Definition at line 346 of file allocators.hpp.
| typedef T const* Gecode::region_allocator< T >::const_pointer |
Const version of pointer.
Definition at line 348 of file allocators.hpp.
| typedef T& Gecode::region_allocator< T >::reference |
Non-const reference to T.
Definition at line 350 of file allocators.hpp.
| typedef T const& Gecode::region_allocator< T >::const_reference |
Const reference to T.
Definition at line 352 of file allocators.hpp.
Constructor & Destructor Documentation
| Gecode::region_allocator< T >::region_allocator | ( | Region & | region | ) | throw () [inline] |
Construction.
- Parameters:
-
region The region to allocate objects from.
Definition at line 367 of file allocators.hpp.
| Gecode::region_allocator< T >::region_allocator | ( | region_allocator< T > const & | al | ) | throw () [inline] |
Copy construction.
- Parameters:
-
al The allocator to copy.
Definition at line 373 of file allocators.hpp.
| Gecode::region_allocator< T >::region_allocator | ( | region_allocator< U > const & | al | ) | throw () [inline] |
Copy from other instantiation.
- Parameters:
-
al The source allocator.
Definition at line 380 of file allocators.hpp.
Member Function Documentation
| pointer Gecode::region_allocator< T >::address | ( | reference | x | ) | const [inline] |
Convert a reference x to a pointer.
Definition at line 384 of file allocators.hpp.
| const_pointer Gecode::region_allocator< T >::address | ( | const_reference | x | ) | const [inline] |
Convert a const reference x to a const pointer.
Definition at line 386 of file allocators.hpp.
| size_type Gecode::region_allocator< T >::max_size | ( | void | ) | const throw () [inline] |
Returns the largest size for which a call to allocate might succeed.
Definition at line 388 of file allocators.hpp.
| pointer Gecode::region_allocator< T >::allocate | ( | size_type | count | ) | [inline] |
Allocates storage.
Returns a pointer to the first element in a block of storage count*sizeof(T)
bytes in size. The block is aligned appropriately for objects of type T. Throws the exception bad_alloc if the storage is unavailable.
Definition at line 401 of file allocators.hpp.
| pointer Gecode::region_allocator< T >::allocate | ( | size_type | count, | |
| const void *const | hint | |||
| ) | [inline] |
Allocates storage.
Returns a pointer to the first element in a block of storage count*sizeof(T)
bytes in size. The block is aligned appropriately for objects of type T. Throws the exception bad_alloc if the storage is unavailable.
The (unused) parameter could be used as an allocation hint, but this allocator ignores it.
Definition at line 416 of file allocators.hpp.
| void Gecode::region_allocator< T >::deallocate | ( | pointer | p, | |
| size_type | count | |||
| ) | [inline] |
Deallocates storage.
Deallocates storage obtained by a call to allocate() with arguments count and p. Note that region allocator never actually deallocates memory (so this function does nothing); the memory is released when the region is destroyed.
Definition at line 429 of file allocators.hpp.
| void Gecode::region_allocator< T >::construct | ( | pointer | element, | |
| const_reference | t | |||
| ) | [inline] |
Constructs an object.
Constructs an object of type T with the initial value of t at the location specified by element. This function calls the placement new() operator.
Definition at line 440 of file allocators.hpp.
| void Gecode::region_allocator< T >::destroy | ( | pointer | element | ) | [inline] |
Calls the destructor on the object pointed to by element.
Definition at line 445 of file allocators.hpp.
Member Data Documentation
| Region& Gecode::region_allocator< T >::region |
The region that we allocate objects from.
Definition at line 361 of file allocators.hpp.
The documentation for this struct was generated from the following file:
- gecode/kernel/allocators.hpp (Revision: 14967)


I thought I would never write a blog. In fact I was so obsessed with an idea of self worth that I assumed blogging to be a lower form of action. I always assumed my thoughts were unpopular and people to ignorant to be given chance to appreciate them.
Much hasn’t changed since that time. What had changed is my approach to my thoughts. I have realised that no matter how unpopular my way of thinking was, some might still find it appealing. I would guess there will be very few of you. What is more important, is that I found writing to be a great way to organise thoughts. Moreover, it is a great way of keeping track of many ideas that I have. Hence, primary purpose of my writing is to organise my way of thinking and make it more rigorous.
By chance just we are living in a time when sharing your thoughts publicly on something called Internet is a popular thing to do. Since there is a lot more people with access to the internet than I might hope to know. I simply make a bet that there will be at least one other person, apart from me, who will find value in my writing.
I have always listened and rarely spoke. I had always given much thought to my actions and behaviour. I have learned that up to a point when your environment provides a discussion opportunity on valuable topics you will be fine. Problems start when your thoughts have wandered in the direction no one else wants to go. Only conceivable course of action then is to initiate discussion yourself. But how do you find an audience?
There is also a second side to this blog. I am currently a Computer Science student so you can expect some technical posts here as well. I have not decided on their form yet. One thing that I would like to avoid are short meaningless posts which are a transcripts of “Getting Started” guides for various projects. If I will post something technical it will be rather involved and, hopefully with some additional insight.
This is just an introduction. There are more posts coming. As I begin to explore depths of my long forgotten knowledge I hope to write about some non obvious things as well as things so obvious that you never had thought about them. I will definitely challenge status quo. Will I give answers? Many will think not, but it is up to you to decide.
There are many things that I would want to talk about here. There are probably even more things that I don’t know that I want to speak about. As I begin to thread through uncharted territory of myself I hope to make discoveries that will benefit not only me.


Unplugged
What else can I do? - an escape from a busy programming day. Here are some of the things I do during my free time.
The Sims
I always wanted to become an architect and even though I was not able to pursue it now, I was able to get a taste of it whenever I build houses in The Sims.
Design and Layout
Contrary to the descriptions of a Computer Science graduate, I am not a Math person. I get to enjoy planning the design and layout and even rendering simple illustrations more than programming.
Crochet
Here is one outlet that really requires no plugged devices which I discovered, and eventually, fell in love with during the quarantine. It is fascinating to create such pieces by hand.


A PERFECT MURDER A film review by Mark R. Leeper
Capsule: This is an updating and a remake of a great stage thriller. The new version adds some complexity to the story, but nothing that could really be called an improvement. This story did not need to be moved into the world of international finance and the ultra-rich. Director Andrew Davis has little grasp on what made the original characters compelling. He delivers a version that is dark, humorless, and violent. Rating: 5 (0 to 10), low +1 (-4 to +4)
I did not care much for Alfred Hitchcock's DIAL M FOR MURDER when I saw it as a child. It seemed a set-bound and a rather dry exercise. Seeing it as an adult was an entirely different experience. It clearly is a stage play, but it has to be one of the most brilliant stage thrillers ever written. The entire play works like a well-oiled machine of surprising complexity. It was *the classic* stage murder thriller. Compared to DIAL M FOR MURDER, SLEUTH and DEATHTRAP are merely gimmicky. For DIAL M FOR MURDER, the playwright really sat down and sweated all the details. The one unrealistic touch is that main character Tony Wendes is just too brilliant to be fully believed. He has a mind like a computer, thinking out all possibilities and reconstructing his plans instant by instant. The play must have been rewritten over and over as Frederick Knott rethought the possibilities. The remake A PERFECT MURDER has some of the plot, but it loses a lot in the transition.
In A PERFECT MURDER, the Taylors are probably one of the top 100 prominent couples in the country. Steven Taylor (played by Michael Douglas) is an international commodities dealer who makes deals in the hundreds of millions of dollars every day. Emily Bradford Taylor (played by Gwyneth Paltrow) is an heiress to one of the richest families in America. She has a position working as translator at the United Nations General Assembly and as an aide to the Unite States ambassador. But Emily has other positions she likes more, fooling around on the side with promising new artist David Shaw (Viggo Mortensen). Shaw has a future as an artist, but he also has a past, and that he would like to keep quiet. Unfortunately Steven Taylor knows all about Shaw's past and has his own plans for Shaw's future. The plans include killing Emily Taylor. Saying any more about the new and somewhat cluttered plot would really be telling too much.
Michael Douglas is something of a master at portraying quiet smoldering anger on the screen. He is a good choice to show rage, but he cannot bring to the role the kind of passionless thinking machine quality that Ray Milland had in the original. Luckily this script does not call for Steven Taylor to make the sort of quick rethinking of problems that Tony Wendes did in the original film. Paltrow really does have the sort of pristine good looks that are reminiscent of Grace Kelly in the first film. There are even scenes where she looks a bit like Grace Kelly. The problem is that the film insists on showing her in bed with her lover. 1990s audiences demand to see some flesh, I suppose. There clearly is passion going on though nothing is seen that really counts as nudity. But what we do see of the sex is enough that she no longer appears to the viewer to be an innocent. And that loses her the audience's sympathy. We are left with several cold and unsympathetic characters wandering around on the dark sets of this film. I should mention that Dariusz Wolski shot the film and if that name is unfamiliar, he also filmed THE CROW and DARK CITY.  And this film certainly has that. Viggo Mortensen plays the third leg of the romantic triangle. He does not have much screen presence, but he does have a very realistic look. Rounding out the cast, but appallingly under-used, is David Suchet as Detective Mohamed Karaman. I suspect he had a bigger role in the original script. It is his character in the original play who does the real detective work. But rumors say that the end of the film was re-shot and presumably his role was cut down in size. Perhaps test audiences thought him solving the crime was a little too close to what he does in his TV persona as Hercule Poirot. But for whatever the reason Suchet had only a small part, and it was a serious waste to have such a good character actor in so tiny a role.
If you have seen the original film, there will still be plot twists to keep you guessing, but you will also get an appreciation of how good material can sour in the wrong hands. It takes a remake like A PERFECT MURDER to show the viewer how much has changed in the 1990s conventions of films and to appreciate the genius of an Alfred Hitchcock. This cold and dark remake gets a 5 on the 0 to 10 scale and a low +1 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 1998 Mark R. Leeper
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
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Related links: index of all rec.arts.movies.reviews reviews


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With Hardfork 20 and our meetup behind us, and our mana fully restored, we are back in action. We’ve got a lot to tell you, so get ready.
In this post:
- Back in business!
- New hirings
- Open Sourcing Science
- SteemStem Comments
- Task Requests Ahoy!
- Build Utopian.io v2 with us!
- Our radio show will be back!
Back in business!
Due to the big HF20 mana depletion, we were out of comission for a few days. But now we’re back as a fully operational ~~death star~~ open source promoting machine.
New Hirings
We are delighted to announce that @gregory.latinier has joined Utopian as our CTO. Grégory is a full stack developer, and has been instrumental in developing Busy.org. We can also reveal that @didic, who has been a moderator and contributor to our Content department, has come on board as Chief Content Officer. He is very embrassed, because he (well, me) is the one writing this post.
Open Sourcing Science
This week, @lemouth announced an incredible new project that we are proud to take part in along with SteemStem. In this project, a group of developers will create an open source, Python-based, version of FeynRules that anyone could run for free, without having to rely on the very expensive Mathematica framework. What’s FeynRules? Well, it’s complicated, so click the above link to find out!
SteemStem Comments
We’re also starting a different collaboration with our friends from @SteemStem. Starting tomorrow, any post voted by SteemStem with a voting strength above 50% will receive a steemstem comment including the utopian logo, plus an incentive to support Utopian as Witness. The text may still slightly change, but here is the preview:
Task Requests Ahoy!
One of the most intriguing devlopments coming to Steem is @steem-1up’s SMT and support of communities on the blockchain. We’ve supported 1UP from the start, and this week they had an interesting TR, looking for developers to create a loot box system for airdrops and cards. Fun! In addition to the Utopian reward, 1UP is offering 50,000 UP tokens for the Loot Box system and another 25,000 UP tokens for a well animated content reveal for the loot box.
Another TR we’re happy to see is one that was suggested by a Utopian moderator in response to a post looking for a logo designer. @irelandscape is looking for someone to design a logo for StemQ, the open source STEM focused Q&A system.
Build Utopian.io v2 with us!
As you probably know, our development team has been hard at work in creating the base for the next Utopian.io, with features and functionalities requested by the community. If you’re a developer and want to help, visit our repo and take a look.
Utopian.io Open Source Radio Show on MSP Waves
We did not have a show this week. But have no fear, the Open Source Radio Show will be back next week, invigorated and energized.
Be sure to tune in next week at 6PM UTC on Wednesday on MSP Waves!
First Time Contributing in Utopian.io?
Learn how to contribute on our website
This page is synchronized from the post: Utopian.io Weekly - [October 5 2018] - Hardforked!


Vision Portfolio Management Application Layer: Data Feeds
| Application Feeds |
Data Feed: CompositeAccountMaster
Category: MasterFeed
Summary:
The CompositeAccountMaster feed is used to create
and refresh basic information for CompositeAccount instances.
A composite account is an Account whose holdings are created
as a weighted combination of the holdings in the set of
Portfolio, IndexAccount, IndexAccount, and/or other CompositeAccount
instances that make up a composite over time.
The CompositeAccount class is described in detail in the
Portfolio Management
Application Classes document. A number of
related feeds
are available to specify CompositeAccount membership weights
and to update other account-based information.
Available Fields:
| Field | Vision Property | Type | Description
|
|---|
| --- Required Fields ---
|
|---|
| entityId
| code
| String
| id of new or existing CompositeAccount instance
|
| --- Suggested Fields ---
|
|---|
| currencyId
| baseCurrency
| String
| id of existing Currency instance
|
| name
| name
| String
| descriptive name
|
| --- Other Fields ---
|
|---|
| numericCode
| numericCode
| Number
| numeric code
|
| shortName
| shortName
| String
| short name
|
| sortCode
| sortCode
| String
| sort code
|
Special Processing Rules:
- The entityId is the unique id that permanently identifies the
CompositeAccount. When a new CompositeAccount is created, this field is
used to update the code property of the new instance. This id
is also added to the Named CompositeAccount naming dictionary.
It is added to the Named Account dictionary if the id does not
conflict with the id of an instance from a different subclass of
Account. If a Portfolio instance is later created
with the same id as an existing CompositeAccount, the reference
in the Named Account dictionary will return the Portfolio
instance.
- To distinguish CompositeAccount instances from instances of other
Account subclasses that may be identified with the same id,
a unique identifier is created by prepending the string C_
to the entityId. This id is used to update the uniqueId
property of new CompositeAccount instances and is added to the
Account naming dictionary as well.
- The currencyId is used to identify the currency in which
monetary values for the composite account are displayed by default. This
includes the totalMarketValue and the totalMarketValueCash
values for the CompositeAccount
as well as the totalMarketValue for its individual holdings.
The default value is US Dollars.
Related Feeds:
- CompsiteAccountMembers:
defines weighted combinations of Portfolio, AggAccount, IndexAccount, and/or other
CompositeAccount instances that make up a composite over time
- PortfolioMaster:
creates Portfolio instances
- HoldingsFeed:
loads holding records for one or more Portfolio or CompositeAccount
instances for one or more time periods
- AggAccountMaster:
creates AggAccount instances
- PortfolioAggregates:
defines Portfolio memberships in AggAccounts over time
- IndexAccountMaster:
creates IndexAccount instances
- IndexAccountBuilder:
creates holdings for one or more IndexAccount instances over time using
existing Security Universe instances and a weighting rule
Sample Upload:
The following tab-delimited feed could be used to create CompositeAccount instances
and refresh basic information:
Interface ExternalFeedManager upload: "CompositeAccountMaster" using:
"entityId name ShortName
COMP1 Composite Account 1 Composite Acct 1
COMP2 Composite Account 2 Composite Acct 2
" ;
| Copyright © 1998 Innovative Systems Techniques, Inc.
| Updated August 27, 1998
|


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---
layout: post
title: "$19/mo Voice and Data, with No Contract? Yes, please!"
categories: []
tags: []
status: publish
type: post
published: true
meta:
_original_post_id: ''
_original_import_author: John Duprey
author:
---
Republic Wireless' "beta" voice and data offering costs $19/month with no contract! It manages such a low price point by using wi-fi for voice and data whenever possible. It is in beta and so it can take a while to become a "member". What are the catches?
2. If you use the cell network "too much", they will eventually boot you.
3. Its BETA - meaning the switching from wi-fi to cell network might not work so great, you might experience poor call quality over wi-fi, or have dropped calls.
Catches, aside, its a great price point for a lot of people.


The initial state allows us to load one of the scenes of the chapter at the start of the game and to give values to variables and flags without having to fulfill any condition or state of the LMS. The following figure shows the actions available and that will be used once the adaptation profile is selected for the chapter:


To give you a suggestion, we need to know a little about you and your interests. Below we have a few questions designed to send you in the right direction. Just fill out our quick survey and get your results instantly!
Your language is !! I hope you have a good life together!


In the endless summer of Santa Barbara, California, stands a historic mansion in the shade of giant acacias and live oaks. The Moody Estate is an 11,000-square-foot, nine-bedroom, 10-bath grand estate standing on 1.6 garden acres in the heart of the community of Montecito.
The Peppers is a home to our pampered seniors and is ideal for anyone wanting to live in a home that is active and social. The Peppers is always calm and serene, however a broader family environment is present, with more than the usual Care Home amount of interaction.
The Peppers is the home for all of the staff as well as our residents, offering a unique family quality to our approach.
Here is Peppers caregiver Nida C. with Ms. Evelyn Keyes, former wife of John Huston, Artie Shaw and sister to Scarlet in Gone With The Wind.
The Peppers is a California Licensed Residential Care Facility for the Elderly ( RCFE ) # 425801439, and is overseen by the California Department of Social Services, Community Care Licensing Division.
What is an RCFE?
An RCFE category is considered a non-medical board and care style home, and offers structured 'care and supervision' for 6 beds ( the typical size in California ). Care refers to assistance with tasks of daily living ( dressing, etc. ), meals and housekeeping care. Supervision means following doctors orders regarding medications and health needs, and observing for any changes to communicate in the residents condition. No nurses are present or are required in our category.
The Peppers is required to maintain the protocols of CCLD. This includes hiring quidelines, who can be present on site, cleanliness, hygiene and food handling standards as well as care procedure and recordkeeping guidelines and medication storage / management. This 'Community Care' purpose and these 'Community Care Licensing Division 'CCLD' guidelines are the essence of our category. There are more than 8,000 RCFEs in California.
Dear David,
My gratitude is unending for the dignity, care and compassion with which you treated Ray and me. My only possible repayment is a lifetime of friendship.I pray that someday, I can provide you with some little favor that could begin to show my appreciation.


Jeremy Kyle guest claims he was forced to stage fake affair for the show
Stephen Beer claims TV bosses got him to stage a fake affair with another woman
by Katie TimmsPlymouth's Stephen Beer, who is known for appearances on TV shows Too Fat To Work and Jeremy Kyle has claimed he was forced to stage a fake affair.
The 49-year-old married man appeared on the now-axed tabloid talk-show seven times, first reaching out after he believed his wife was being unfaithful.
The Metro reports that Mr Beer said that he felt that producers would use him and his wife "to fill some spots on the show".
Mr Beer told Metro: "I contacted them in the first place but what they do is they phone you about four or five times a day.
"After that they contacted me asking me to go on the show and asked if we had anything new to say, but every time we were going on there to say one thing, it got changed at the last minute."
He appeared on Jeremy Kyle in 2016 with Melissa Ede who has since passed away in an episode titled 'my transgender love rival is trying to steal my husband'.
In the episode, Ms Ede went head to head with Mr Beer over the alleged cheating on his wife.
After Melissa's £4million Lottery win in 2018 Mr Beer pleaded with her for some cash.
He said Melissa had told him that she would pay £11,000 for him and his partner to have gastric band surgery if she ever won the lottery, something which she strongly denied.
Mr Beer now claims that the affair between him and Ms Ede was "fake".
He told The Metro: ‘The producers staged the affair with myself and Melissa, who tragically passed away earlier this year. She wanted to go on the show anyway but the story about the affair is fake.
"They also told is to send each other text messages so it would look like there was more going on, but none of it was true.
"I went to visit Melissa in Hull because we were friends anyway but she told Jeremy Kyle that she fancied me, so the story changed again at the last minute before I had even gone on stage."
He claimed that he felt like the show was a "prison" as "everyone has their own assistant who would follow you everywhere, even if you wanted to go to the toilet".
ITV confirmed that The Jeremy Kyle Show will not be brought back.
A spokesperson said: "The physical and mental health of everyone we work with is our highest priority and ITV is committed to working across the industry – including with other broadcasters, PACT and our regulator Ofcom – to share best practice and continue to strengthen and evolve our Duty of Care processes.
"ITV cancelled The Jeremy Kyle Show in May. We have since made clear that we will not bring back the Jeremy Kyle Show, or any other show resembling its format."


| Home | Libraries | People | FAQ | More |
boost::container::multiset —
template<typename T, typename Pred, typename Alloc> class multiset { public: // types typedef tree_t::key_type key_type; typedef tree_t::value_type value_type; typedef tree_t::pointer pointer; typedef tree_t::const_pointer const_pointer; typedef tree_t::reference reference; typedef tree_t::const_reference const_reference; typedef Pred key_compare; typedef Pred value_compare; typedef tree_t::iterator iterator; typedef tree_t::const_iterator const_iterator; typedef tree_t::reverse_iterator reverse_iterator; typedef tree_t::const_reverse_iterator const_reverse_iterator; typedef tree_t::size_type size_type; typedef tree_t::difference_type difference_type; typedef tree_t::allocator_type allocator_type; typedef tree_t::stored_allocator_type stored_allocator_type; // construct/copy/destruct multiset(const Pred & = Pred(), const allocator_type & = allocator_type()); template<typename InputIterator> multiset(InputIterator, InputIterator, const Pred & = Pred(), const allocator_type & = allocator_type()); template<typename InputIterator> multiset(ordered_range_t, InputIterator, InputIterator, const Pred & = Pred(), const allocator_type & = allocator_type()); multiset(const multiset &); multiset(multiset &&); multiset& operator=(const multiset &); multiset& operator=(multiset &&); // public member functions key_compare key_comp() const; value_compare value_comp() const; allocator_type get_allocator() const; const stored_allocator_type & get_stored_allocator() const; stored_allocator_type & get_stored_allocator() ; iterator begin() ; const_iterator begin() const; iterator end() ; const_iterator end() const; reverse_iterator rbegin() ; const_reverse_iterator rbegin() const; reverse_iterator rend() ; const_reverse_iterator rend() const; const_iterator cbegin() const; const_iterator cend() const; const_reverse_iterator crbegin() const; const_reverse_iterator crend() const; bool empty() const; size_type size() const; size_type max_size() const; void swap(multiset &) ; iterator insert(const value_type &) ; iterator insert(value_type &&) ; iterator insert(const_iterator, const value_type &) ; iterator insert(const_iterator, value_type &&) ; template<typename InputIterator> void insert(InputIterator, InputIterator) ; template<class... Args> iterator emplace(Args &&...) ; template<class... Args> iterator emplace_hint(const_iterator, Args &&...) ; iterator erase(const_iterator) ; size_type erase(const key_type &) ; iterator erase(const_iterator, const_iterator) ; void clear() ; iterator find(const key_type &) ; const_iterator find(const key_type &) const; size_type count(const key_type &) const; iterator lower_bound(const key_type &) ; const_iterator lower_bound(const key_type &) const; iterator upper_bound(const key_type &) ; const_iterator upper_bound(const key_type &) const; std::pair< iterator, iterator > equal_range(const key_type &) ; std::pair< const_iterator, const_iterator > equal_range(const key_type &) const; };
A multiset is a kind of associative container that supports equivalent keys (possibly contains multiple copies of the same key value) and provides for fast retrieval of the keys themselves. Class multiset supports bidirectional iterators.
A multiset satisfies all of the requirements of a container and of a reversible container, and of an associative container). multiset also provides most operations described for duplicate keys.
multiset
public
construct/copy/destructmultiset(const Pred & comp = Pred(), const allocator_type & a = allocator_type());
Effects: Constructs an empty multiset using the specified comparison object and allocator.
Complexity: Constant.
template<typename InputIterator> multiset(InputIterator first, InputIterator last, const Pred & comp = Pred(), const allocator_type & a = allocator_type());
Effects: Constructs an empty multiset using the specified comparison object and allocator, and inserts elements from the range [first ,last ).
Complexity: Linear in N if the range [first ,last ) is already sorted using comp and otherwise N logN, where N is last - first.
template<typename InputIterator> multiset(ordered_range_t ordered_range, InputIterator first, InputIterator last, const Pred & comp = Pred(), const allocator_type & a = allocator_type());
Effects: Constructs an empty multiset using the specified comparison object and allocator, and inserts elements from the ordered range [first ,last ). This function is more efficient than the normal range creation for ordered ranges.
Requires: [first ,last) must be ordered according to the predicate.
Complexity: Linear in N.
multiset(const multiset & x);
Effects: Copy constructs a multiset.
Complexity: Linear in x.size().
multiset(multiset && x);
Effects: Move constructs a multiset. Constructs *this using x's resources.
Complexity: Construct.
Postcondition: x is emptied.
multiset& operator=(const multiset & x);
Effects: Makes *this a copy of x.
Complexity: Linear in x.size().
multiset& operator=(multiset && x);
Effects: this->swap(x.get()).
Complexity: Constant.
multiset
public member functionskey_compare key_comp() const;
Effects: Returns the comparison object out of which a was constructed.
Complexity: Constant.
value_compare value_comp() const;
Effects: Returns an object of value_compare constructed out of the comparison object.
Complexity: Constant.
allocator_type get_allocator() const;
Effects: Returns a copy of the Allocator that was passed to the object's constructor.
Complexity: Constant.
const stored_allocator_type & get_stored_allocator() const;
stored_allocator_type & get_stored_allocator() ;
iterator begin() ;
Effects: Returns an iterator to the first element contained in the container.
Throws: Nothing.
Complexity: Constant.
const_iterator begin() const;
Effects: Returns a const_iterator to the first element contained in the container.
Throws: Nothing.
Complexity: Constant.
iterator end() ;
Effects: Returns an iterator to the end of the container.
Throws: Nothing.
Complexity: Constant.
const_iterator end() const;
Effects: Returns a const_iterator to the end of the container.
Throws: Nothing.
Complexity: Constant.
reverse_iterator rbegin() ;
Effects: Returns a reverse_iterator pointing to the beginning of the reversed container.
Throws: Nothing.
Complexity: Constant.
const_reverse_iterator rbegin() const;
Effects: Returns a const_reverse_iterator pointing to the beginning of the reversed container.
Throws: Nothing.
Complexity: Constant.
reverse_iterator rend() ;
Effects: Returns a reverse_iterator pointing to the end of the reversed container.
Throws: Nothing.
Complexity: Constant.
const_reverse_iterator rend() const;
Effects: Returns a const_reverse_iterator pointing to the end of the reversed container.
Throws: Nothing.
Complexity: Constant.
const_iterator cbegin() const;
Effects: Returns a const_iterator to the first element contained in the container.
Throws: Nothing.
Complexity: Constant.
const_iterator cend() const;
Effects: Returns a const_iterator to the end of the container.
Throws: Nothing.
Complexity: Constant.
const_reverse_iterator crbegin() const;
Effects: Returns a const_reverse_iterator pointing to the beginning of the reversed container.
Throws: Nothing.
Complexity: Constant.
const_reverse_iterator crend() const;
Effects: Returns a const_reverse_iterator pointing to the end of the reversed container.
Throws: Nothing.
Complexity: Constant.
bool empty() const;
Effects: Returns true if the container contains no elements.
Throws: Nothing.
Complexity: Constant.
size_type size() const;
Effects: Returns the number of the elements contained in the container.
Throws: Nothing.
Complexity: Constant.
size_type max_size() const;
Effects: Returns the largest possible size of the container.
Throws: Nothing.
Complexity: Constant.
void swap(multiset & x) ;
Effects: Swaps the contents of *this and x. If this->allocator_type() != x.allocator_type() allocators are also swapped.
Throws: Nothing.
Complexity: Constant.
iterator insert(const value_type & x) ;
Effects: Inserts x and returns the iterator pointing to the newly inserted element.
Complexity: Logarithmic.
iterator insert(value_type && x) ;
Effects: Inserts a copy of x in the container.
Returns: An iterator pointing to the element with key equivalent to the key of x.
Complexity: Logarithmic in general, but amortized constant if t is inserted right before p.
iterator insert(const_iterator p, const value_type & x) ;
Effects: Inserts a copy of x in the container. p is a hint pointing to where the insert should start to search.
Returns: An iterator pointing to the element with key equivalent to the key of x.
Complexity: Logarithmic in general, but amortized constant if t is inserted right before p.
iterator insert(const_iterator p, value_type && x) ;
Effects: Inserts a value move constructed from x in the container. p is a hint pointing to where the insert should start to search.
Returns: An iterator pointing to the element with key equivalent to the key of x.
Complexity: Logarithmic in general, but amortized constant if t is inserted right before p.
template<typename InputIterator> void insert(InputIterator first, InputIterator last) ;
Requires: i, j are not iterators into *this.
Effects: inserts each element from the range [i,j) .
Complexity: N log(size()+N) (N is the distance from i to j)
template<class... Args> iterator emplace(Args &&... args) ;
Effects: Inserts an object of type T constructed with std::forward<Args>(args)... and returns the iterator pointing to the newly inserted element.
Complexity: Logarithmic.
template<class... Args> iterator emplace_hint(const_iterator hint, Args &&... args) ;
Effects: Inserts an object of type T constructed with std::forward<Args>(args)...
Returns: An iterator pointing to the element with key equivalent to the key of x.
Complexity: Logarithmic in general, but amortized constant if t is inserted right before p.
iterator erase(const_iterator p) ;
Effects: Erases the element pointed to by p.
Returns: Returns an iterator pointing to the element immediately following q prior to the element being erased. If no such element exists, returns end().
Complexity: Amortized constant time
size_type erase(const key_type & x) ;
Effects: Erases all elements in the container with key equivalent to x.
Returns: Returns the number of erased elements.
Complexity: log(size()) + count(k)
iterator erase(const_iterator first, const_iterator last) ;
Effects: Erases all the elements in the range [first, last).
Returns: Returns last.
Complexity: log(size())+N where N is the distance from first to last.
void clear() ;
Effects: erase(a.begin(),a.end()).
Postcondition: size() == 0.
Complexity: linear in size().
iterator find(const key_type & x) ;
Returns: An iterator pointing to an element with the key equivalent to x, or end() if such an element is not found.
Complexity: Logarithmic.
const_iterator find(const key_type & x) const;
Returns: A const iterator pointing to an element with the key equivalent to x, or end() if such an element is not found.
Complexity: Logarithmic.
size_type count(const key_type & x) const;
Returns: The number of elements with key equivalent to x.
Complexity: log(size())+count(k)
iterator lower_bound(const key_type & x) ;
Returns: An iterator pointing to the first element with key not less than k, or a.end() if such an element is not found.
Complexity: Logarithmic
const_iterator lower_bound(const key_type & x) const;
Returns: A const iterator pointing to the first element with key not less than k, or a.end() if such an element is not found.
Complexity: Logarithmic
iterator upper_bound(const key_type & x) ;
Returns: An iterator pointing to the first element with key not less than x, or end() if such an element is not found.
Complexity: Logarithmic
const_iterator upper_bound(const key_type & x) const;
Returns: A const iterator pointing to the first element with key not less than x, or end() if such an element is not found.
Complexity: Logarithmic
std::pair< iterator, iterator > equal_range(const key_type & x) ;
Effects: Equivalent to std::make_pair(this->lower_bound(k), this->upper_bound(k)).
Complexity: Logarithmic
std::pair< const_iterator, const_iterator > equal_range(const key_type & x) const;
Effects: Equivalent to std::make_pair(this->lower_bound(k), this->upper_bound(k)).
Complexity: Logarithmic


|
|
| UITest (EntityMap map, ContentManager content) |
| |
| override void | Initialize () |
| | Initialize this scene and loads all resources. Runs logic to execute during the Initializing state. Set state to None to end. More...
|
| |
| override void | HandleInput () |
| | Handles all input for the scene More...
|
| |
| override void | Update () |
| | Updates game logic and changes scene state. More...
|
| |
| override void | Draw (SpriteBatch spriteBatch, SpriteBatch uiSpriteBatch) |
| | Draws entities and UI elements to the specfied SpriteBatches More...
|
| |
| override void | Exit () |
| | Runs logic to execute while the scene is in the Exiting state. Set state to Null to end. More...
|
| |
| override void | Pause () |
| | Runs logic to execute while the scene is in the Pausing state. Set state to None to end. More...
|
| |
| override void | Resume () |
| | Runs logic to execute while the scene is in the Resuming state. Set state to None to end. More...
|
| |
| | Scene (EntityMap gameObjects, ContentManager content) |
| | Initializes a new instance of the T:MB2D.Scenes.Scene class with a pre-existing EntityMap More...
|
| |
|
void | UpdateTransition () |
| |
| void | Cleanup () |
| | Cleans up the scene and unloads content. More...
|
| |
§ Draw()
| override void MB2D.Testing.UITest.Draw |
( |
SpriteBatch |
spriteBatch, |
|
|
SpriteBatch |
uiSpriteBatch |
|
) |
| |
|
inlinevirtual |
Draws entities and UI elements to the specfied SpriteBatches
- Parameters
-
| spriteBatch | World-coordinate based sprite batch. |
| uiSpriteBatch | Camera-based User Interface sprite batch. |
Implements MB2D.Scenes.Scene.
§ Exit()
| override void MB2D.Testing.UITest.Exit |
( |
| ) |
|
|
inlinevirtual |
Runs logic to execute while the scene is in the Exiting state. Set state to Null to end.
Implements MB2D.Scenes.Scene.
§ HandleInput()
| override void MB2D.Testing.UITest.HandleInput |
( |
| ) |
|
|
inlinevirtual |
§ Initialize()
| override void MB2D.Testing.UITest.Initialize |
( |
| ) |
|
|
inlinevirtual |
Initialize this scene and loads all resources. Runs logic to execute during the Initializing state. Set state to None to end.
Implements MB2D.Scenes.Scene.
§ Pause()
| override void MB2D.Testing.UITest.Pause |
( |
| ) |
|
|
inlinevirtual |
Runs logic to execute while the scene is in the Pausing state. Set state to None to end.
Implements MB2D.Scenes.Scene.
§ Resume()
| override void MB2D.Testing.UITest.Resume |
( |
| ) |
|
|
inlinevirtual |
Runs logic to execute while the scene is in the Resuming state. Set state to None to end.
Implements MB2D.Scenes.Scene.
§ Update()
| override void MB2D.Testing.UITest.Update |
( |
| ) |
|
|
inlinevirtual |
The documentation for this class was generated from the following file:


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{% extends 'base.html' %} {% load static %} {% block title %}Feedback{% endblock %} {% block content %}
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Classes
Members
-
<static> this.$el :jQuery
-
Root jQuery element of this Ranger.
This object is available immediately but content is rendered to it only after render is called.Type:
- jQuery
-
<static> this.el :HTMLElement
-
Root DOM element of this Ranger. This object is available immediately but content is rendered to it only after render is called.
Type:
- HTMLElement
Methods
-
<static> appendTo(element) → {Ranger}
-
Append the Ranger DOM element into a given DOM element.
Parameters:
Name Type Description element
HTMLElement The DOM element to append the Ranger to. Returns:
This Ranger object.- Type
- Ranger
-
<static> getValue() → {Number}
-
Get the current value.
Returns:
The current value for this Ranger.- Type
- Number
-
<static> render() → {Ranger}
-
Render the Ranger.
Returns:
This Ranger object.- Type
- Ranger
-
<static> setValue(value) → {Ranger}
-
Set the value for this Ranger.
Parameters:
Name Type Description value
Number The value to set. Throws:
-
If the given value to set is smaller than the minimum or bigger than the maximum.
- Type
- RangeError
Returns:
This Ranger object.- Type
- Ranger
-


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NOTE: This function is also published on window for easy access.
The inject function wraps a function into an injectable function. The inject() creates new instance of $injector per test, which is then used for resolving references.
Often, we would like to inject a reference once, in a beforeEach()
block and reuse this
in multiple it()
clauses. To be able to do this we must assign the reference to a variable
that is declared in the scope of the describe()
block. Since we would, most likely, want
the variable to have the same name of the reference we have a problem, since the parameter
to the inject()
function would hide the outer variable.
To help with this, the injected parameters can, optionally, be enclosed with underscores. These are ignored by the injector when the reference name is resolved.
For example, the parameter _myService_
would be resolved as the reference myService
.
Since it is available in the function body as myService, we can then assign it to a variable
defined in an outer scope.
// Defined out reference variable outside
var myService;
// Wrap the parameter in underscores
beforeEach( inject( function(_myService_){
myService = _myService_;
}));
// Use myService in a series of tests.
it('makes use of myService', function() {
myService.doStuff();
});
See also angular.mock.module
Example of what a typical jasmine tests looks like with the inject method.
angular.module('myApplicationModule', [])
.value('mode', 'app')
.value('version', 'v1.0.1');
describe('MyApp', function() {
// You need to load modules that you want to test,
// it loads only the "ng" module by default.
beforeEach(module('myApplicationModule'));
// inject() is used to inject arguments of all given functions
it('should provide a version', inject(function(mode, version) {
expect(version).toEqual('v1.0.1');
expect(mode).toEqual('app');
}));
// The inject and module method can also be used inside of the it or beforeEach
it('should override a version and test the new version is injected', function() {
// module() takes functions or strings (module aliases)
module(function($provide) {
$provide.value('version', 'overridden'); // override version here
});
inject(function(version) {
expect(version).toEqual('overridden');
});
});
});
angular.mock.inject(fns);
| Param | Type | Details |
|---|---|---|
| fns | ...Function |
any number of functions which will be injected using the injector. |


Pirate (ARRR) is a cryptocurrency that solves the issue of financial privacy on the blockchain through forced anonymous transactions. Protect your wallet and transactions with Pirate’s completely anonymous network. With forced private transactions, your privacy cannot be compromised by another users’ activity on the network. If you wish to learn more, please join the official Pirate Discord at https://pirate.black/discord/ or message FishyGuts#5085, who will be happy to help out.
100 messages
Before 05-Dec-19 12:00 AM
ComputerGenie 👴👴👴16-Oct-18 12:18 AM
Privatoshi16-Oct-18 01:32 AM
@Deleted User My bad.. Good luck with the project!!
ComputerGenie 👴👴👴16-Oct-18 02:20 AM
we don't apologize here. Here we spit on the floor and drink poor quality alcohol.
Speak for yourself, I drink good Scotch!
2
NutellaLicka16-Oct-18 06:45 AM
Guys its official, i've gone pirate mad.
I'm not sure if this was some weird pirate related hallucination or not. But I just noticed a coffee store a couple of doors down the road is opening. Guess what the name is. Pirate Coffee.

FishyGuts16-Oct-18 06:51 AM
Well be sure to send you there first if we get a Point of sale done.
NutellaLicka16-Oct-18 06:52 AM
After a bit of googling, turns out there is pirate coffee all over the world
How could that be any better. Buy pirate coffee with pirate coins
grewalsatinder16-Oct-18 07:09 AM
I guess the ones who says Pirate gives negative vibe to this project must consider, the subject can be presented in positive way. it's about marketing and how it's presented.
FishyGuts16-Oct-18 07:13 AM
Well we certainly don't want skulls and other dark images
0x0316-Oct-18 07:14 AM
@CHMEX will host pirate, too, just gotta clean up a bit first, ETA 'some time today'
good morning mateys
FishyGuts16-Oct-18 07:14 AM
Good morning.
grewalsatinder16-Oct-18 07:15 AM
ahoy @0x03
CHMEX16-Oct-18 07:16 AM
Ahoy 0x03 great I think people will like that as the chain grows.
"And in just 7 or 8 easy steps, you too could have your wallet updated sometime tomorrow!"
2
Flexatron16-Oct-18 07:39 AM
sending thoughts and prayers to @jl777c and DigPri
FishyGuts16-Oct-18 07:45 AM
Hey everyone... we could really use some more social media force.
We're in the very beginning of getting proper material to share as well as a proper place to direct people for all the info they need.
If you see any topics you want the channel or the official pirate accounts to respond/interact with, please post them in the #pirate-marketing channel
Cryptoon16-Oct-18 07:47 AM
Pin some of the infographics we can use
FishyGuts16-Oct-18 07:47 AM
These algorithms for keeping posts in peoples feeds are all different, but with all, the sooner the better.
Cryptoon16-Oct-18 07:47 AM
Will try to make some tweets laters
0x0316-Oct-18 07:47 AM
and a logo for me for the bootstrap
Cryptoon16-Oct-18 07:47 AM
or pin the min #deleted-channel
FishyGuts16-Oct-18 07:47 AM
Definitely starting to layout some infographic ideas. Glad to know they are wanted.
Since easily shareable material is still being built, if you guys just link tweets we can interact with, that is helpful too.
The website will be up soon and that will be a great place to point people for any info they need.
0x0316-Oct-18 07:50 AM
thanks!
FishyGuts16-Oct-18 07:50 AM
We also have a bunch of medium articles being written constantly and in many languages. Have a peek.
PIRATEchain is an independent blockchain built using the Komodo Platform assetchains.  Now he sleeps with Mama in my bedroom and I in his pirate room...ARRR!
0x0316-Oct-18 07:50 AM
hhahahahahahahaha
entered!
FishyGuts16-Oct-18 07:50 AM
Take a browse and share your favorite.
All of this activity helps with SEO and exposure.
Plant a thousand seeds a day.
0x0316-Oct-18 07:50 AM
and then taken over!
FishyGuts16-Oct-18 07:50 AM
That's awesome @Seko1
FishyGuts16-Oct-18 08:07 AM
Hey twitter users...
Be on the lookout for privacy posts and privacy coin posts to help push the Pirate Code.
We have now enabled SumAll for our twitter feed which will automatically go through all of our followers feeds to see who interacted and supported the most.
You may have seen them, they look like this...
https://twitter.com/CryptoprenuerUK/status/1052107085486395392(edited)
small success is 2k views, but with < 100 upvotes in 4 h we go nowhere
we need to organize mailing lists where people will receive email after post like that to vote up. Why they should ? Once a week from that user lists there could be a lottery and some Arrr to win. Miners who want good for Arrr should tip/fund to that lottery.
Flexatron16-Oct-18 12:30 PM
yes...
quick bursts of upvotes in the beginning to defeat the downvoters(edited)
The net hashrate has been off for a few days now btw.. it should be over 100 Msol now..
CHMEX16-Oct-18 12:33 PM
What do you mean by it should be over 100 Msol?
Flexatron16-Oct-18 12:35 PM
Piratepool+ arrr pool = 100+(edited)
CHMEX16-Oct-18 12:35 PM
I think getmininginfo returns avg over the last 120 blocks
Flexatron16-Oct-18 12:36 PM
Okay then its just lagging
scubapanda16-Oct-18 12:40 PM
Last 10h average hashrate is just under 80Msol.
Flexatron16-Oct-18 12:47 PM
dukeleto16-Oct-18 12:51 PM
komodo-cli -ac_name=PIRATE getnetworkhashps 0 will give you instantaneous network hashrate
Organize anything, together. Trello is a collaboration tool that organizes your projects into boards. In one glance, know what's being worked on, who's working on what, and where something is in a process.


--- title: "Spinners" date: 2021-04-29T16:00:58+02:00 draft: false main_title: "Tailwind spinners" subheading: "" seo_title: "Tailwind spinner component - examples & templates" description: "Bootstrap Spinners are visual indicators that the app is loading. Use it while loading content or performing another process that the user needs to wait on." image: "" video: "" url: "/docs/standard/components/spinners/" menu: components: name: "Spinners" --- {{< example lang="html" title="Without CSS - single">}}


WAKING NED DIVINE 1998 A film review by Timothy Voon Copyright 1999 Timothy Voon 3 out of 5 for stealing the lottery ticket from a dead man
Cast: Ian Bannen, David Kelly, Fionnula Flanagan, James Nesbitt, Susan Lynch, Brendan F. Dempsey. Screenplay: Kirk Jones. Producers: Glynis Murray and Richard Holmes. Director: Kirk Jones.
Who wants to be a millionaire? If you were Marilyn Monroe, the answer would be to be to marry one. If you were Demi Moore, you would probably sleep with one. If you were Nicholas Cage and Bridget Fonda, you would lose it and then find it again through charity. If you were in an Agatha Christie movie you would probably murder one. However, if you were Ned Devine, you would win it and then cack it.
Yes, there's a dead guy in this movie, with a 7 million lottery ticket and everyone in town is trying to steal it. Although there are moments of tension when everyone is trying to fool the tattslotto man, or humour when riding naked on a motorcycle, or a bit of competition when trying to mate with the pig farmer's lay, and a bit of Irish humour which after awhile runs dry.
I sat through this movie wandering what had transpired through 90 minutes of screening time. After awhile, I realised it was all about stealing money and getting away with it. Where was the heart in this movie, outside greed? Did they truly feel remorseful about stealing a dead man's winnings? But none of these questions were left answered. Which left me wandering is there more to life than just winning the lottery?
Timothy Voon e-mail<EMAIL_ADDRESS>Movie Archives http://us.imdb.com/M/reviews_by?Tim+Voon Movies In Melbourne http://www.labyrinth.net.au/~pfowler/week
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


In 2011, me and my business partner decided to create this web platform that aimed to help users to find the best places in the city based on the opinions of other users about their experience in bars, restaurants, hotels, stores, etc.
As none of us had any experience coding, we decided to contract a web development company to help us getting this idea off the drawing board (literally…because we had nothing but a rough draft of what it should look like). The company responsible for that was Velty – Digital Solutions. Using the Scrum method, we could together develop a simple project scope and setting deadlines for each stage of the project.
In parallel with the code development, it was necessary to create the visual identity of the website, which included designing the logo and the icons used for the navigation menu. The one responsible for that was the designer Mariano Rodriguez, who helped us developing more than 20 different types of icons that represented our categories and subcategories, creating a more intuitive environment for our platform.
For the marketing and promotion of the web platform, we decided to use the YouTube as a tool to spread the idea. The plan was creating a funny and easy-to-understand video that explained the purpose and the advantages of the website for the users, encouraging them to visit it and sharing the video with their friends. The video creator partner was Janilson Lima and we used the embedded YouTube video as the main content of the Hotsite page, which we posted before making the beta version available online.
As we did not have initial capital to invest in a significant marketing campaign, the content of our pages was carefully planned in order to increase our chances when it comes to Google organic search. The list of keywords to be used for text production was a result of a Google AdWords research and the Contém Conteúdo was the enterprise that created the content for the main pages of the platform.
After releasing our Minimum Viable Product, we notice it was not as intuitive as we thought and we decided to recreate the interface of the entire website. For this mission, the company Frevo Consultoria was the one assigned for. The cleaner, responsive and intuitive design of the new website resulted in more pageviews per day and guided more efficiently the users through the platform and its features.


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[§342C-4] Rules. The department shall adopt rules necessary for the purposes of this chapter. [L 1990, c 316, pt of §2]


He moonlight difficult engrossed an it sportsmen.
Unaffected at ye of compliment alteration to. Place voice no arise along to. Parlors waiting so against me no.
Wishing calling are warrant settled was luckily. Express besides it present if at an opinion visitor.
| Year | PPG | MVP |
|---|---|---|
| 1990-91 | 31.5 | yes |
| 1991-92 | 30.1 | yes |
| 1992-93 | 32.6 | no |
| 1995-96 | 30.4 | yes |
| 1996-97 | 29.6 | no |
| 1997-98 | 28.7 | yes |


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add
add
add_round
add_round
add_round_fill
add_round_fill
alarm
alarm
alarm_fill
alarm_fill
albums
albums
albums_fill
albums_fill
alert
alert
alert_fill
alert_fill
arrow_down
arrow_down
arrow_down_round_fill
arrow_down_round_fill
arrow_left
arrow_left
arrow_left_round_fill
arrow_left_round_fill
arrow_right
arrow_right
arrow_right_round_fill
arrow_right_round_fill
arrow_up
arrow_up
arrow_up_round_fill
arrow_up_round_fill
at
at
at_round
at_round
at_round_fill
at_round_fill
attachment
attachment
bag
bag
bag_fill
bag_fill
barcode
barcode
barcode_fill
barcode_fill
bars
bars
bars_chart
bars_chart
bars_chart_round
bars_chart_round
bars_chart_round_fill
bars_chart_round_fill
bars_chart_square
bars_chart_square
bars_chart_square_fill
bars_chart_square_fill
bell
bell
bell_fill
bell_fill
bell_off
bell_off
bitcoin
bitcoin
bitcoin_round
bitcoin_round
bitcoin_round_fill
bitcoin_round_fill
bolt
bolt
bolt_fill
bolt_fill
bolt_round
bolt_round
bolt_round_fill
bolt_round_fill
book
book
book_fill
book_fill
bookmark
bookmark
bookmark_fill
bookmark_fill
box
box
box_fill
box_fill
briefcase
briefcase
briefcase_fill
briefcase_fill
bulb
bulb
bulb_fill
bulb_fill
business
business
business_fill
business_fill
calendar
calendar
calendar_fill
calendar_fill
calendar_today
calendar_today
calendar_today_fill
calendar_today_fill
camera
camera
camera_fill
camera_fill
camera_round
camera_round
camera_round_fill
camera_round_fill
card
card
card_fill
card_fill
chat
chat
chat_bubble
chat_bubble
chat_bubble_fill
chat_bubble_fill
chat_fill
chat_fill
check
check
check_round
check_round
check_round_fill
check_round_fill
chevron_down
chevron_down
chevron_down_round
chevron_down_round
chevron_down_round_fill
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chevron_left
chevron_left
chevron_left_round
chevron_left_round
chevron_left_round_fill
chevron_left_round_fill
chevron_right
chevron_right
chevron_right_round
chevron_right_round
chevron_right_round_fill
chevron_right_round_fill
chevron_up
chevron_up
chevron_up_round
chevron_up_round
chevron_up_round_fill
chevron_up_round_fill
circle
circle
circle_fill
circle_fill
circle_half
circle_half
close
close
close_round
close_round
close_round_fill
close_round_fill
cloud
cloud
cloud_download
cloud_download
cloud_download_fill
cloud_download_fill
cloud_fill
cloud_fill
cloud_upload
cloud_upload
cloud_upload_fill
cloud_upload_fill
collection
collection
collection_fill
collection_fill
color_filter
color_filter
color_filter_fill
color_filter_fill
compass
compass
compass_fill
compass_fill
compose
compose
compose_fill
compose_fill
data
data
data_fill
data_fill
delete
delete
delete_round
delete_round
delete_round_fill
delete_round_fill
document
document
document_chart
document_chart
document_chart_fill
document_chart_fill
document_check
document_check
document_check_fill
document_check_fill
document_fill
document_fill
document_person
document_person
document_person_fill
document_person_fill
document_text
document_text
document_text_fill
document_text_fill
download
download
download_fill
download_fill
download_round
download_round
download_round_fill
download_round_fill
drawer
drawer
drawer_fill
drawer_fill
drawers
drawers
drawers_fill
drawers_fill
edit
edit
email
email
email_fill
email_fill
enter
enter
enter_fill
enter_fill
enter_round
enter_round
enter_round_fill
enter_round_fill
exit
exit
exit_fill
exit_fill
exit_round
exit_round
exit_round_fill
exit_round_fill
eye
eye
eye_fill
eye_fill
eye_off
eye_off
fastforward
fastforward
fastforward_fill
fastforward_fill
fastforward_round
fastforward_round
fastforward_round_fill
fastforward_round_fill
favorites
favorites
favorites_alt
favorites_alt
favorites_alt_fill
favorites_alt_fill
favorites_fill
favorites_fill
film
film
film_fill
film_fill
filter
filter
flag
flag
flag_fill
flag_fill
folder
folder
folder_fill
folder_fill
forward
forward
forward_fill
forward_fill
gear
gear
gear_fill
gear_fill
gift
gift
gift_fill
gift_fill
graph_round
graph_round
graph_round_fill
graph_round_fill
graph_square
graph_square
graph_square_fill
graph_square_fill
heart
heart
heart_fill
heart_fill
help
help
help_round
help_round
help_round_fill
help_round_fill
home
home
home_fill
home_fill
images
images
images_fill
images_fill
infinite
infinite
info
info
info_round
info_round
info_round_fill
info_round_fill
keyboard
keyboard
keyboard_fill
keyboard_fill
layers
layers
layers_alt
layers_alt
layers_alt_fill
layers_alt_fill
layers_fill
layers_fill
library
library
library_fill
library_fill
link
link
list
list
list_fill
list_fill
lock
lock
lock_fill
lock_fill
logo_facebook
logo_facebook
logo_github
logo_github
logo_googleplus
logo_googleplus
logo_instagram
logo_instagram
logo_linkedin
logo_linkedin
logo_rss
logo_rss
logo_twitter
logo_twitter
menu
menu
message
message
message_fill
message_fill
mic
mic
mic_fill
mic_fill
mic_off
mic_off
mic_round
mic_round
mic_round_fill
mic_round_fill
money_dollar
money_dollar
money_dollar_round
money_dollar_round
money_dollar_round_fill
money_dollar_round_fill
money_euro
money_euro
money_euro_round
money_euro_round
money_euro_round_fill
money_euro_round_fill
money_pound
money_pound
money_pound_round
money_pound_round
money_pound_round_fill
money_pound_round_fill
money_rubl
money_rubl
money_rubl_round
money_rubl_round
money_rubl_round_fill
money_rubl_round_fill
money_yen
money_yen
money_yen_round
money_yen_round
money_yen_round_fill
money_yen_round_fill
more
more
more_fill
more_fill
more_round
more_round
more_round_fill
more_round_fill
more_vertical
more_vertical
more_vertical_fill
more_vertical_fill
more_vertical_round
more_vertical_round
more_vertical_round_fill
more_vertical_round_fill
navigation
navigation
navigation_fill
navigation_fill
navigation_round
navigation_round
navigation_round_fill
navigation_round_fill
paper_plane
paper_plane
paper_plane_fill
paper_plane_fill
pause
pause
pause_fill
pause_fill
pause_round
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pause_round_fill
pause_round_fill
person
person
person_round
person_round
person_round_fill
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persons
persons_round
persons_round
persons_round_fill
persons_round_fill
phone
phone
phone_fill
phone_fill
phone_round
phone_round
phone_round_fill
phone_round_fill
photos
photos
photos_fill
photos_fill
pie_chart
pie_chart
pie_chart_fill
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If you are a developer, software architect, or have worked in any data-focused organisation, you might have come across ontologies before. You may have heard about companies or research institutions who have leveraged ontologies to pull their data into a new age of “machine-readability”. If so, you could have tried to explain the benefits of this technology with your boss, only to be met with a blank face.
In fact, ontologies (in the context of computer science) appear to be notorious for their steep learning curve and high barrier to entry. In fact, it is easier to “sell” cutting-edge AI technology where information is scattered far and wide across the internet, then it is to sell ontologies. In my opinion, the reason for this has nothing to do with the technology itself. It comes down to a very simple and easily resolvable fact about the field of ontologies. Information about ontologies is incredibly difficult to decipher.
On the day you explained ontologies to your boss, it’s probable they liked what they were hearing. After your conversation, their mind was buzzing with ideas and opportunities about the technology. So, they went and typed “Ontology” into Google. When they clicked “Search” however, they were fronted with a tidal wave of different definitions and interpretations. Many of these are grounded in philosophy rather than computer science or information technology.
This blog will be the first of (hopefully) many attempts to unveil some of the mysteries that hide ontologies away from outside onlookers. As someone who has worked in a research institution, it is my pleasure to open this mystifying field up and make it more accessible for people to use. This blog describes the three core benefits of ontologies. These benefits are increased interoperability, automatic reasoning, and a shared vocabulary. These three points will help you to explain to your boss why ontologies are important for your business.
1) A Shared Vocabulary
Debates about what is meant by the an “ontology” in computer science continue well into 2020. The point that seems to be consistent across different definitions and interpretations is that an ontology should describe a shared vocabulary for a domain context. This means that the concepts (or “classes”) and the meaning of those concepts represented in an ontology, are agreed upon by domain experts. For example, an ontology may contain the concept of a “machine” and the meaning of the word “machine” is agreed and unambiguous. While this is one of the most solid and least debated features of ontologies, it is often a point that is overlooked in early ontology tutorials.
The value of ontologies representing a shared vocabulary is that it begins to break down “silos” both between software teams, within organizations and between organizations. It also means that if you would like to create an ontology for your business or context, you likely do not have to start from scratch. There are often existing ontologies that have been created by standards organizations or research groups that you can leverage. One such research group is the Industrial Ontology Foundry ( https://www.industrialontologies.org/ ) who are currently working on building an ontology as a shared vocabulary that can be used across industrial organizations such as mining, manufacturing or aviation. Another benefit of ontologies as a shared vocabulary is that it increases interoperability between the software applications that conform to this vocabulary. This is further described in point (2).
2) Increased Interoperability
For software engineers and information architects, increased interoperability is, in my opinion, the easiest selling point for ontologies. Ontology languages such as OWL (the Web Ontology Language) provide means to assert facts (or “axioms”) about each of the concepts (or “classes”) in your shared vocabulary. For example, an ontology engineer might describe a “parent” as something that has a “child”. In that case, you can assert an axiom that describes this relationship. This means that whenever a software application connects (or “conforms”) to an ontology, this relationship between the concepts of “parent” and “child” is explicit and cannot be mis-interpreted by the application. Therefore, when new applications are built, perhaps by different software teams, these concepts remain consistent across the different applications.
The value of this from your boss’s perspective is that increased interoperability decreases the amount of time and money spent debating how applications should communicate with each other. An obscene amount of time in software development projects is spent trying to “connect” new applications into an existing application landscape. Having an ontology to represent concepts in each application in a consistent way makes this process monumentally more efficient.
3) Automatic Reasoning
If your boss is not yet convinced why ontologies are useful for your organization, you can now start talking about automatic reasoning. This point is by far the most complex features of an ontology and the most difficult to explain quickly, but I am going to give it my best shot.
Automatic reasoning is the ability for reasoners, that can be run over a defined ontology, to make interpretations (or “inferences”) about the information represented in the ontology. An example is if you have the concept of a “parent” in your ontology, and you define that a “parent of a parent” is also a “grandparent”. Therefore, if you have a piece of data (or “individual”) that is a “parent of a parent”, the reasoner could infer that the piece of data is also a “grandparent”. After this inference has been made, you can query for all “grandparents” in your system and retrieve the appropriate information. This is just one of many examples of the power of automatic reasoning and it is worth diving into some more complex examples before trying to build your own.
I would like to stress that you must be careful when talking about automatic reasoning. When you’re in a meeting, make sure that you understand the capabilities of the ontology language that you are using before making “magical” reasoning promises that you cannot keep. For ontologies, there is a tradeoff between expressivity (and in-turn reasoning capability) and performance. This is important to keep in mind when explaining ontologies to your boss.
The value of automatic reasoning for your boss, is that it makes your data “smarter” and you can ask better questions of your data. Instead of requiring knowledge engineers to write complex queries every time you need a piece of information, simpler queries can be written. For example, without knowing how the data is represented in the system, a developer or a subject matter expert can ask the system to return all “grandparents” in a single, simple query.
I hope this blog was useful for you in your mission to start using ontologies in your organization. If you have questions, comments, or ideas about what I should write on next, please reach out to me at<EMAIL_ADDRESS>Written by Caitlin Woods
Research Assistant at The UWA System Health Lab


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At the time of the following report I was Taking 10 mg Elavil a day. I had just signed up for the summer session and was feeling good. The setting was a little warm but I live at the beach and itís hot all the time, I just havenít acclimated yet. Anyway set and setting were good and I love psychedelics, and have had several high dose experiences of Salvia, LSA, LSD, DXM, DXO, Yopo, cebil, and others. But I was looking for something new. I was also intrigued by the lack of knowledge on the subject so I felt I was on a Ďseldom walked trailí, I get a thrill of thinking of origin and traditional use of ethnobotanicals and following a Ďtraditionaí that few people have the opportunity to do. Anyway.
I recently was given about 200+ Voacanga africana and did not know what they were, after finding very little on the use besides eating fifty seeds would induce visions. I was hesitant to try because the first thing mentioned is that it is poisonous.
After about a week and a half of searching the web on any info I decided to take forty seeds.
I am writing this as I experience it.
12:30: Swallowed forty seeds with water. First five were chewed to aid in total absorption, but this method was exchanged for swallowing whole because the taste was like eating rotten moldy bark witch the water intensified. Then a sat back and smoke a bowl of MJ to relax while I waited for the effects to kick in.
1:10: Getting tracers and floaty feeling. My head is getting hot around my ears. Very mellow
1:30: took a ride on my scooter was easily focused and maintained easily. But was slightly surprised at perception of other peoples speech at ice cream shop. I felt straight but was responding slowly to questions. Slight visuals more like distortions. Wind feels very weird and relaxing. When I return home I find it difficult to get off my bike and get its kickstand down properly. Now I feel uncomfortable, like I should not have gotten off the bike.
2:15: Getting mild hot flashes, feel like Iím going to sweat at any minute, very relaxed and jumpy at the same time, I guess the weed is fighting the seeds stimulant effect. Some CEVís many more open eyed visuals. Body feels labored by breathing any more than needed. Feel my pulse over my hole body and slight dissociation from limbs, things feel good.
2:50: After almost falling asleep and being in a half dream world with weird colors and sliding visions, I am very stimulated and clear headed with trails and CEVís.
The rest of the night I drank wine and smoked a few more joints, I had a head ache when I went to bed but that was probably from the wine. I had weird dreams that I was waken from and started right back up when returning to sleep throughout the night.
I woke early this morning and still have weird and complex CEVís. I also feel the chest pain that the other experience reported. Definitely the ďpoisonĒ part of the deal. This is the only thing that would keep me from trying the seeds again. I will look for a possible extraction that can eliminate the poison and isolate the iboga if itís possible.
All in all it was worth experiencing once, it has a very distinct feel and its own set of visuals. Unless I find a safer form or extraction without going to the illegal Tabernanthe iboga, I donít think ill be exploring it any further just because it has obvious physical effects that cant be good.
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.


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