laertes | interest provider for the smartphone augmented reality | Augmented Reality library
kandi X-RAY | laertes Summary
kandi X-RAY | laertes Summary
Points of interest provider for the smartphone augmented reality application Layar. Laertes is a point of interest provider for the smartphone augmented reality application [Layar] It gathers together geolocated tweets using a defined hash tag with points of interest from Google Maps to give an AR view of goings on and happenings for everyone at an event or conference. With Laertes and Layar when you’re at en event you can hold up your smartphone and pan around and see where all of the interesting places are and where everyone’s been tweeting from in the last little while.
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laertes Key Features
laertes Examples and Code Snippets
Community Discussions
Trending Discussions on laertes
QUESTION
I have written a script on Linux which does some operations on a text file. The output is a clean text file as expected. The first lines are as below:
...ANSWER
Answered 2019-Jan-14 at 10:55you can try using python to do this for you. below is the sample code in python 3.6
you can read a file into an array and use the below optimization to achieve your output.
QUESTION
Assuming I have some text ex:
...ANSWER
Answered 2018-Aug-30 at 10:44This might help.
QUESTION
Below is an example using,
aggregate functions(filter
/map
/sorted
),
&
behavior(this::capitalize
),
&
terminal operation(forEach
),
with a given stream(Stream.of(...)
),
ANSWER
Answered 2017-Nov-29 at 08:06It’s a key point of the Stream API that all operations support correct parallel processing as long as your behavioral parameters meet the criteria. Or, as the specification states:
ParallelismProcessing elements with an explicit for-loop is inherently serial. Streams facilitate parallel execution by reframing the computation as a pipeline of aggregate operations, rather than as imperative operations on each individual element. All streams operations can execute either in serial or in parallel.
…
Except for operations identified as explicitly nondeterministic, such as
findAny()
, whether a stream executes sequentially or in parallel should not change the result of the computation.Most stream operations accept parameters that describe user-specified behavior, which are often lambda expressions. To preserve correct behavior, these behavioral parameters must be non-interfering, and in most cases must be stateless. Such parameters are always instances of a functional interface such as Function, and are often lambda expressions or method references.
Note that the term aggregate operation is more general, applying to the entire stream operation, including intermediate operations and the terminal operation. What has been said about map
and filter
, applies to reduce
as well; the reduction function should be side effect free and stateless. Note that while collect
incorporates mutable state, it’s local and still meets the non-interference criteria. From the outside, you can still view a collect
operation is-if stateless.
You have to look at the specific terminal operation’s documentation to find out how a parallel execution might affect the outcome, like the mentioned difference between findFirst
and findAny
. In your case forEach
is problematic, as it may invoke the consumer unordered and concurrently, so there is no guaranty that the elements are printed in the order imposed by the preceding sorted
step. You should use forEachOrdered
here.
By the way, you could make your capitalize
method static
to emphasize that it doesn’t depend on the state of the this
instance. Or simplify it to a lambda expression,
s -> s.isEmpty()? s: s.substring(0, 1).toUpperCase() + s.substring(1).toLowerCase()
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No vulnerabilities reported
Install laertes
The last step is to set up a layer at [Layar](http://www.layar.com/). Set up an account if you don’t have one. Then go to My Layers and look for the "create a new layer" option. You will need to configure some options:. That will create a layer. There are many more options you can configure, but you don’t need to bother with them now. Install the Layar app on your smartphone or tablet if you haven’t already. Go into the settings and log in. Now, in Geo Layers mode, if you page all the way to the right through the listings of layers you’ll see a page called Test that lists all of your layers. Launch the one you created and it should work! Depending on how you configured it, if there are any tweets or POIs nearby, you’ll see them. There are two filters available in Laertes. You can set up one or both. Layar only allows one of each possible filter type, so if you configure a any checkbox filter Laertes will treat it as a tweet/map point filter, and and any radio button filter will be treated a tweet time limit filter.
Layer name: this must match an entry in your config.json file.
Title: Human-readable title.
Short description: A short paragraph about what this is. You can edit it later.
API endpoint URL: http://some-outlandish-hostname-2112.herokuapp.com/ or whatever your Heroku URL is, or wherever it is you’re hosting Laertes.
Layer type: Set it to "3D and 2D objects in 3D space"
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