I watched Laszlo's talk about time travel debugging in Elm (https://youtu.be/lK0vph1zR8s) and in his presentation he used the signal graph to visualize the effects of the time traveling. Now you can use the debugger with the elm-reactor, but I see no option to turn on the signal graph visualization. There was a discussion about this: https://groups.google.com/forum/#!msg/elm-discuss/24jTnaChA6g/9WipFs9PBwAJ
Are there any news about it?
In general, is there a possibility to generate the signal graph for an Elm program?
Thanks in advance.
The talk by Laszlo is already quite old, considering the rapid development of the Elm language. At that talk he showed a hacked up prototype based on a slightly adapted Elm runtime. The time traveling debugger (elm-reactor) was the tool that resulted from expanding on his work.
The discussion you link to on the mailing list is the last one that I'm aware of about adding signal graphs to the Reactor.
At the time (IIRC), Laszlo generated the graph using an adapted runtime implementation of Signals. Every Signal node in the graph had a string identifying the kind of node. By running the Elm program, the graph was set up. Then the graph was traversed and recorded in a simple data structure. The string was used to identify the kind of each node. This was then sent to the server, which employed graphviz to render the graph.
So it's certainly possible to generate the graph like that. Although one observation was that it lost some of the more high-level information available in your program because some Signal functions are defined in terms of others.
Related
I am new to ELM and I am trying to wrap my head around asynchronous computations.
I am trying to write an ELM program to automate radiology report generation.
This program uses a graph data structure to store the state of a hierarchical tree of toggles, radio, and edit boxes that the user can edit (add, delete, move around) the toggles.
Individual toggles can also have their behavior modified so that toggling one ON, will show or hide other toggles.
As an example, when you toggled Chest ON, the lung would show, and the liver would be hidden. I do this by using the edges of the graph in the update function, which then is interpreted and rendered in the view function.
I then use a look-up table of sorts to compute the English phrase corresponding to a set of specific ON or OFF toggles, like liver, cyst, 3, mm, segment_4.
This works fine, but computing the English phrases is computationally expensive and it blocks my UI thread.
I have been playing with Tasks and Process.swap but I am misunderstanding them somehow.
I thought that I could change my ToggleOnOff message implementation so that I could spawn the long running implementation, return immediately my new state (i.e., (model, Cmd msg) ), and set the spawned processed to call the update again with the English text string when it finished with the computation. I have failed completely in implementing this.
I have a generateReport function which I turned into a Task using Task.succeed.
Than I tried to spawn this generateReportTask and chain it using Task.andThen to the msg UpdateReportFullText. And then I would need to return a new model imediately with the state of the toggles, before the long running generateReportTask runs and calls update on its own to add the english text to the model.
I believe I am still thinking about this imperatively and that I am misunderstanding FP and ELM. My experience with ELM has always shown me that the ELM way is always shorter and clearer than my clumsy imperative-style noob attempts.
Can someone please educate me and help a poor fellow see the light?
Thank you
(Sorry for the dry no code question but my program is hard to reproduce in a few lines...)
Long running computations are a bit tricky on the web platform, especially if you want them not to block the user interface.
In practice you have two options:
Use Web Workers. This is a technology that actually spins up a new process that can run entirely in parallel with your UI process. Unfortunately Web Workers are basically an entirely separate program that communicates with your main program via (mostly) serialised messages. This means that the computation you perform has to be accelerated more than the serialization/deserialization ends up costing.
In Elm, you would use a Platform.worker program, then add ports and wire things together in JavaScript. This article seems to describe this in some detail.
You can chunk up your computation into small bits and perform each small bit per frame. This can work even better in some cases where there are intermediate results that can be rendered, although this isn't necessary. You can see an example I wrote here (notice how it actually takes a few seconds to compute the layout of the graph, but it just looks like a neat little animation).
I'm looking for a way to plot or visualize a graph made in Erlang using the digraph module. In the manual pages I can't find any function for doing this.
How do I plot or visualize a graph?
For desktop application, pure wx is one choice.
[wx graph] [1]https://www.erlang.org/doc/man/wxgraphicspath
I think you have to write many program for developing your necessary api because wx's api not enough.
I have used wx just before, erlang's wx is not active. It's document's and Q&A is not enough, Time cost is high.
Another choice may be to use wx + webview, send the data to javascript to show graph by it.
It save your save to develop above mentioned necessary api.
Third choice may be to use dart/flutter as client, erlang as server to send data. In this choice, no need wx.
BACKSTORY
The other day I found a motorized wheel chair that someone was throwing away. Being a maker who spends a lot of time looking at what other people have made online I decided to snatch it and try to make a robot out of it. I also bought an Arduino mega, a Kinect sensor, and a motor controller to try to control the motors and give it some form of vision.
MY VISION
Honestly I don’t intend for this robot to be much more than a fun, and challenging, project. My current goals are to have it run SLAM algorithms to figure out where it is on a map and for it to navigate to predetermined points on the map. However at this point I would be happy with just being able to do a simple teleop control with the keyboard.
MY PROBLEM
I have spent the past week researching ros and how to get it talking to my Arduino. I have installed diff_drive_controller, Turtlebot, ros_control, ros_serial, ros_arduino_bridge, and several others trying to find something that will tell the motors what to do. By now I feel like I have a good barely below the surface understanding about how ros works. Basically there are a series of nodes each publishing info for the other nodes to see and subscribing to info that they want to read. All I want right now is a node that publishes data about the velocity of the motors based on it trying to navigate or teleop or something like that. I think turtlebot is my best bet considering it is an all in one stack that does everything I want it to do. The only problem is I don’t have an iRobot create. But it seems like it should be simple enough to intercept those commands and have them drive my own robot base. However I’m not sure which topic to listen on and how to run turtle bot in a way that doesn’t try to connect to an iRobot create. I could just listen to the /cmd_vel_mux/input/teleop topic but I think that would limit me to just teleop and it might make it hard to move on to autonomy in the future.
What topic should I listen on? Am I going about this the right way? Are there any packages that would be better suited for my needs? Keep in mind that I am new to ros so tutorials would be appreciated.
I look forward to your responses
Thanks, Logan
Nice sounding project! I second the recommendation to take a look at the tutorials, but I think you spend some more time with the basic ROS tutorials before diving into the world of Arduino + ROS.
For instance, I noticed one misconception I believe you may have. It doesn't really matter which topic your nodes listens to, as its just a name that can be easily remapped through a parameter given when launching the node. The important thing is to ensure you are listening to the right type of messages - they specify the interface by which all the different nodes communicate. There's a bunch of options, and if none of them fit your use case, you can define your own.
I suspect that for low-level things, such as drivers for your motors, you will need to write your own ROS nodes. For advanced functionality, such as SLAM; there's a variety of options. You can find one that's suited to the input data you have available from your sensors.
One last recommendation is to take advantage of the features of ROS that allow you to break a big problem into manageable subtasks. Do one thing at a time - implement a motor contoroller, write a teleoperation method; taking care to specify suitable interfaces at each point. The advantage of this approach is that if you made smart choices in defining individual components with good interfaces, it is very easy to replace them with another one should you so wish.
You can find a list of tutorials how to interface Arduino and ROS here.
I need to find connected components for a huge dataset. (Graph being Undirected)
One obvious choice is MapReduce. But i'm a newbie to MapReduce and am quiet short of time to pick it up and to code it myself.
I was just wondering if there is any existing API for the same since it is a very common problem in Social Network Analysis?
Or atleast if anyone is aware of any reliable(tried and tested) source using which atleast i can get started with the implementation myself?
Thanks
I blogged about it for myself:
http://codingwiththomas.blogspot.de/2011/04/graph-exploration-with-hadoop-mapreduce.html
But MapReduce isn't a good fit for these Graph analysis things. Better use BSP (bulk synchronous parallel) for that, Apache Hama provides a good graph API on top of Hadoop HDFS.
I've written a connected components algorithm with MapReduce here: (Mindist search)
https://github.com/thomasjungblut/tjungblut-graph/tree/master/src/de/jungblut/graph/mapreduce
Also a BSP version for Apache Hama can be found here:
https://github.com/thomasjungblut/tjungblut-graph/blob/master/src/de/jungblut/graph/bsp/MindistSearch.java
The implementation isn't as difficult as in MapReduce and it is at least 10 times faster.
If you're interested, checkout the latest version in TRUNK and visit our mailing list.
http://hama.apache.org/
http://apache.org/hama/mail-lists.html
I don't really know if an API is available which has methods to find strongly connected components. But, I implemented the BFS algorithm to find distance from source node to all other nodes in the graph (the graph was a directed graph as big as 65 million nodes).
The idea was to explore the neighbors (distance of 1) for each node in one iteration and feeding the output of reduce back to map, until the distances converge. The map emits the shortest distances possible from each node, and reduce updated the node with the shortest distance from the list.
I would suggest to check this out. Also, this could help. These two links would give you the basic idea about graph algorithms in map reduce paradigm (if you are already not familiar). Essentially, you need to twist the algorithm to use DFS instead of BFS.
You may want to look at the Pegasus project from Carnegie Mellon University. They provide an efficient - and elegant - implementation using MapReduce. They also provide binaries, samples and a very detailed documentation.
The implementation itself is based on the Generalized Iterative Matrix-Vector multiplication (GIM-V) proposed by U Kang in 2009.
PEGASUS: A Peta-Scale Graph Mining System - Implementation and
Observations U Kang, Charalampos E. Tsourakakis, Christos Faloutsos In
IEEE International Conference on Data Mining (ICDM 2009)
EDIT:
The official implementation is actually limited to 2.1 billions nodes (node id are stored as integers). I'm creating a fork on github (https://github.com/placeiq/pegasus) to share my patch and other enhancements (eg. Snappy compression).
It is a little old question but here is something you want to checkout. We implemented connected component using map-reduce on Spark platform.
https://github.com/kwartile/connected-component
I'm hoping you can help me out with some technical questions on graphs/trees.
I'm trying to display the creation of objects in systems.
It's really a tree structure.
It has some interesting requirements.
a)
One node can have many children. Say 20. Maybe more.
ie. one library can be used by many objects.
b)
A child node can have many parents. Say up to 20.
ie. many libraries are used by one procedure or object
c)
A particular node can appear in more than one place.
ie. a generic print, or logging function is called in many procedures
Note: This is just an -example- in tech terms I expect you will understand.
It is NOT the issue I need to model. No need to discuss it.
As I've thought about it, I realized that it's not a simple binary tree, or a linked list.
1)
What kind of data structure could I save all the data in?
2)
How could I produce a graph of this in java?
3)
What is a free open source graphing software that could graph such a tree?
Such as Neo4j
Perhaps in formats:
- as a tree, with a root, trunk, branches, and leaves?
- Like the graphs you see now, depicting social networks, with the root node in the center?
4)
Any good websites, or tutorials on this subject?
Thanks a lot!
Check out prefuse. It's old but it works. You'll have to invest a bit of time to learn how to use it though. Once you get there, it's just a matter of creating a prefuse.data.Graph object and fill in your nodes and their neighbors and then creating the visualization.
If you're open to other solution check out d3.js - draw graph using javascript on SVG element in your browser.
If this is really about objects, then maybe UML can help. It's designed to generate graphs of object relationships. There are tons of free UML tools out there. I'd download one and see if you can shoehorn your application into it.
JGraphT can represent your graph structure and can use JGraph for visualisation.
For an example visualization, look at this.