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  • Help finding longest non-repeating path through connected nodes - Python

    - by Jordan Magnuson
    I've been working on this for a couple of days now without success. Basically, I have a bunch of nodes arranged in a 2D matrix. Every node has four neighbors, except for the nodes on the sides and corners of the matrix, which have 3 and 2 neighbors, respectively. Imagine a bunch of square cards laid out side by side in a rectangular area--the project is actually simulating a sort of card/board game. Each node may or may not be connected to the nodes around it. Each node has a function (get_connections()), that returns the nodes immediately around it that it is connected to (so anywhere from 0 to 4 nodes are returned). Each node also has an "index" property, that contains it's position on the board matrix (eg '1, 4' - row 1, col 4). What I am trying to do is find the longest non-repeating path of connected nodes given a particular "start" node. I've uploaded a couple of images that should give a good idea of what I'm trying to do: In both images, the highlighted red cards are supposedly the longest path of connected cards containing the most upper-left card. However, you can see in both images that a couple of cards that should be in the path have been left out (Romania and Maldova in the first image, Greece and Turkey in the second) Here's the recursive function that I am using currently to find the longest path, given a starting node/card: def get_longest_trip(self, board, processed_connections = list(), processed_countries = list()): #Append this country to the processed countries list, #so we don't re-double over it processed_countries.append(self) possible_trips = dict() if self.get_connections(board): for i, card in enumerate(self.get_connections(board)): if card not in processed_countries: processed_connections.append((self, card)) possible_trips[i] = card.get_longest_trip(board, processed_connections, processed_countries) if possible_trips: longest_trip = [] for i, trip in possible_trips.iteritems(): trip_length = len(trip) if trip_length > len(longest_trip): longest_trip = trip longest_trip.append(self) return longest_trip else: print card_list = [] card_list.append(self) return card_list else: #If no connections from start_card, just return the start card #as the longest trip card_list = [] card_list.append(board.start_card) return card_list The problem here has to do with the processed_countries list: if you look at my first screenshot, you can see that what has happened is that when Ukraine came around, it looked at its two possible choices for longest path (Maldova-Romania, or Turkey, Bulgaria), saw that they were both equal, and chose one indiscriminantly. Now when Hungary comes around, it can't attempt to make a path through Romania (where the longest path would actually be), because Romania has been added to the processed_countries list by Ukraine. Any help on this is EXTREMELY appreciated. If you can find me a solution to this, recursive or not, I'd be happy to donate some $$ to you. I've uploaded my full source code (Python 2.6, Pygame 1.9 required) to: http://www.necessarygames.com/junk/planes_trains.zip The relevant code is in src/main.py, which is all set to run.

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  • Loop through text nodes inside a div

    - by crosenblum
    I am trying to do a text replace, but to do so, i need to loop through the text nodes of a div. Each Div upon clicking, loads via ajax it's appropriate content. But then I need to do text-replacing inside any of the text nodes inside there. My current code, after loading the ajax content, loops through all text nodes of the whole page, and therefore is too resource intensive. I have been looking for hours trying to find out how to both loop thru a div, and get the text nodes... and this has to work in firefox, google chrome and ie6. Any thoughts or suggestions?

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  • Save all xml nodes to db without looping through it

    - by AndreMiranda
    I have this xml: <Path> <Record> <ID>6534808</ID> <Distance>1.05553036073736</Distance> </Record> <Record> <ID>6542471</ID> <Distance>1.05553036073736</Distance> </Record> ... and about more 500 nodes </Path> And I'm using the code below to get all "Record" nodes: XmlNodeList paths = xDoc.SelectNodes("//Record"); And, after that, I save each record to database. But, the problem is that I'm using a foreach to loop through this nodes and the count of this nodes may be more than 500, sometimes it gets up to 1000 "Records" node. And this gets too long... Is there a way to save all of these nodes without looping through it? Thanks!!

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  • DOM: how to import nodes and give them different namespace prefix

    - by thomasrutter
    I'm familiar with the DOMDocument::importNode method for importing a tree of nodes from some other document element. However, what I was wondering is if I can automatically change the namespace prefix on a tree of nodes as I import them, that is, specify a new prefix for all nodes of that namespace. Say the nodes, in their existing document, all have names like "name", "identity", and so on. When importing them into my new document they will be alongside other namespaces, so I'd like them to appear as "nicnames:name", "nicnames:identity" and so on. I'd like to be able to change this prefix programmatically so that in another context I may be able to import them as, for instance, "myprefix:name", "myprefix:identity" depending on the document they're imported into. Can anyone help me understand how to do this? Thanks

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  • How do i selext text nodes using XSL

    - by user323719
    How do i select all the text nodes within a specific element node using XSL? Input xml: <node1 id="1"> <node2 id="2"> <node3 id="3" /> <node4 id="4"> <node5 id="5">Text node1</node5> <node6 id="6">Text node2</node6> </node4> </node2> <node7 id="7">Text node3 <node8 id="8">Text node4</node8> <node9 id="9">Text node5</node9> </node7> <node10 id="10">Text node6</node10> <node11 id="11">Text node3 <node12 id="12">Text node4</node12> <node13 id="13">Text node5</node13> </node11> </node1> Input Param: List of ids of the element nodes whose txt nodes are to be retrieved. <nodes><node>4</node><node>7</node><node>10</node></nodes> Expected Output: Text node1 Text node2 Text node3 Text node4 Text node5 Text node6 How can this be achieved using XSL? Please share your ideas.

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  • How to filter/sort/rank object model nodes?

    - by BCS
    I have some kind of object model and I need to filter and sort it's nodes for some kind of property. What kinds of automated systems exist to generate and select properties of the object model that correlate to what I want? (I'm intentionally being abstract and non-specific) I'm thinking of a system that works kind of like spam filters or supervised classification systems in that given an example data set it identifies rules that find nodes of interest. However I'm looking for a more general system in that it shouldn't require any design time information about the object model. It should work equality well as a spam filter on e-mail, a bug finder on a code base, an interest filter in a newsgroup or bot accounts finder on a social networking site. As long as it can explore the object model via reflection and be given a set of "interesting" nodes, it should be able to find rules that will find more nodes like them.

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  • Active Directory with nodes in multiple IP Addresses

    - by Stormshadow
    I have written some code to fetch user information from an Active Directory Server. Suppose the Active Directory Server has nodes, each of which is another Active Directory Installation in a different geographic location. Eg: one AD server in US and another in Australia with a root AD Server in US with the former two as nodes. Would the filter queries I write for searching users across geographic locations work if I run them on the root AD server ?. The query I use is (|(objectClass=user)(objectClass=person)(objectClass=inetOrgPerson)) I cannot actually test this scenario but need to know the what will happen here.

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  • Active Directory with nodes in multiple IP Addresses

    - by Stormshadow
    I have written some code to fetch user information from an Active Directory Server. Suppose the Active Directory Server has nodes, each of which is another Active Directory Installation in a different geographic location. Eg: one AD server in US and another in Australia with a root AD Server in US with the former two as nodes. Would the filter queries I write for searching users across geographic locations work if I run them on the root AD server ?. The query I use is (|(objectClass=user)(objectClass=person)(objectClass=inetOrgPerson)) I cannot actually test this scenario but need to know the what will happen here.

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  • Best practice for scaling a single application source to multiple nodes

    - by Andrew Waters
    I have an application which needs to scale horizontally to cover web and service nodes (at the moment they're all on one) but interact with the same set of databases and source files (both application code and custom assets). Database is no problem, it's handled already with replication in MongoDB. Also, the configuration of the servers are the same (100% linux). This question is literally about sharing a filesystem between machines so that its content is always correct, regardless of the node accessing it. My two thoughts have so far been NFS and SAN - SAN being prohibitively expensive and NFS seeing some performance issues on the second node with regards to glob()ing in PHP. Does anyone have recommended strategies or other techniques that don't involved sharding data across nodes or any potential gotchas in NFS that may cause slow disk seek times? To give you an idea of the scale, the main node initialises it's application modules in ~ 0.01 seconds. The secondary is taking ~2.2 seconds. They're VM's inside a local virtual network in ESXi and ping time between them is ~0.3ms

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  • Sharing / replicating EBS across AWS nodes

    - by skrat
    I would like to use single EBS storage across multiple EC2 nodes (web/app servers). I've read some articles on snapshot sharing, but that doesn't suit well for what we need. We use filesystem for storing DB record attachments, so if one such attachment gets created, we need it to be immediately available to all nodes (to serve). So far only NFS seem to be viable, but it's a pain to configure and maintain. Another option could be storing those attachments on S3 instead, but that would cut us of doing any analysis on that data. This must be quite common problem when scaling in AWS, what solutions are there?

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  • Dynamically changing one-node Cassandra cluster to two nodes

    - by Jason Axelson
    So I have an application that will be very dormant most of the time but will need high-bursting a few days out of the month. Since we are deploying on EC2 I would like to keep only one Cassandra server up most of the time and then on burst days I want to bring one more server up (with more RAM and CPU than the first) to help serve the load. What is the best way to do this? Should I take a different approach? Some notes about what I plan to do: Bring the node up and repair it immediately After the burst time is over decommission the powerful node Use the always-on server as the seed node My main question is how to get the nodes to share all the data since I want a replication factor of 2 (so both nodes have all the data) but that won't work while there is only one server. Should I bring up 2 extra servers instead of just one?

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  • how to speed up the code??

    - by kaushik
    i have very huge code about 600 lines plus. cant post the whole thing here. but a particular code snippet is taking so much time,leading to problems. here i post that part of code please tell me what to do speed up the processing.. please suggest the part which may be the reason and measure to improve them if this small part of code is understandable. using_data={} def join_cost(a , b): global using_data #print a #print b save_a=[] save_b=[] print 1 #for i in range(len(m)): #if str(m[i][0])==str(a): save_a=database_index[a] #for i in range(len(m)): # if str(m[i][0])==str(b): #print 'save_a',save_a #print 'save_b',save_b print 2 save_b=database_index[b] using_data[save_a[0]]=save_a s=str(save_a[1]).replace('phone','text') s=str(s)+'.pm' p=os.path.join("c:/begpython/wavnk/",s) x=open(p , 'r') print 3 for i in range(6): x.readline() k2='a' j=0 o=[] while k2 is not '': k2=x.readline() k2=k2.rstrip('\n') oj=k2.split(' ') o=o+[oj] #print o[j] j=j+1 #print j #print o[2][0] temp=long(1232332) end_time=save_a[4] #print end_time k=(j-1) for i in range(k): diff=float(o[i][0])-float(end_time) if diff<0: diff=diff*(-1) if temp>diff: temp=diff pm_row=i #print pm_row #print temp #print o[pm_row] #pm_row=3 q=[] print 4 l=str(p).replace('.pm','.mcep') z=open(l ,'r') for i in range(pm_row): z.readline() k3=z.readline() k3=k3.rstrip('\n') q=k3.split(' ') #print q print 5 s=str(save_b[1]).replace('phone','text') s=str(s)+'.pm' p=os.path.join("c:/begpython/wavnk/",s) x=open(p , 'r') for i in range(6): x.readline() k2='a' j=0 o=[] while k2 is not '': k2=x.readline() k2=k2.rstrip('\n') oj=k2.split(' ') o=o+[oj] #print o[j] j=j+1 #print j #print o[2][0] temp=long(1232332) strt_time=save_b[3] #print strt_time k=(j-1) for i in range(k): diff=float(o[i][0])-float(strt_time) if diff<0: diff=diff*(-1) if temp>diff: temp=diff pm_row=i #print pm_row #print temp #print o[pm_row] #pm_row=3 w=[] l=str(p).replace('.pm','.mcep') z=open(l ,'r') for i in range(pm_row): z.readline() k3=z.readline() k3=k3.rstrip('\n') w=k3.split(' ') #print w cost=0 for i in range(12): #print q[i] #print w[i] h=float(q[i])-float(w[i]) cost=cost+math.pow(h,2) j_cost=math.sqrt(cost) #print cost return j_cost def target_cost(a , b): a=(b+1)*3 b=(a+1)*2 t_cost=(a+b)*5/2 return t_cost r1='shht:ra_77' r2='grx_18' g=[] nodes=[] nodes=nodes+[[r1]] for i in range(len(y_in_db_format)): g=y_in_db_format[i] #print g #print g[0] g.remove(str(g[0])) nodes=nodes+[g] nodes=nodes+[[r2]] print nodes print "lenght of nodes",len(nodes) lists=[] #lists=lists+[r1] for i in range(len(nodes)): for j in range(len(nodes[i])): lists=lists+[nodes[i][j]] #lists=lists+[r2] print lists distance={} for i in range(len(lists)): if i==0: distance[str(lists[i])]=0 else: distance[str(lists[i])]=long(123231223) #print distance group_dist=[] infinity=long(123232323) for i in range(len(nodes)): distances=[] for j in range(len(nodes[i])): #distances=[] if i==0: distances=distances+[[nodes[i][j], 0]] else: distances=distances+[[nodes[i][j],infinity]] group_dist=group_dist+[distances] #print distances print "group_distances",group_dist #print "check",group_dist[0][0][1] #costs={} #for i in range(len(lists)): #if i==0: # costs[str(lists[i])]=1 #else: # costs[str(lists[i])]=get_selfcost(lists[i]) path=[] for i in range(len(nodes)): mini=[] if i!=(len(nodes)-1): #temp=long(123234324) #Now calculate the cost between the current node and each of its neighbour for k in range(len(nodes[(i+1)])): for j in range(len(nodes[i])): current=nodes[i][j] #print "current_node",current j_distance=join_cost( current , nodes[i+1][k]) #t_distance=target_cost( current , nodes[i+1][k]) t_distance=34 #print distance #print "distance between current and neighbours",distance total_distance=(.5*(float(group_dist[i][j][1])+float(j_distance))+.5*(float(t_distance))) #print "total distance between the intial_nodes and current neighbour",total_distance if int(group_dist[i+1][k][1]) > int(total_distance): group_dist[i+1][k][1]=total_distance #print "updated distance",group_dist[i+1][k][1] a=current #print "the neighbour",nodes[i+1][k],"updated the value",a mini=mini+[[str(nodes[i+1][k]),a]] print mini

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  • Help building maya render node spec

    - by Ak
    Hi there, I'm looking to build 4x Maya render slaves/nodes for a friend of mine when his project gets green lit. The project involves MentalRay and lots of glass. I'm unsure if the new i7's 9xx or 8xx with hyper threading will do any better than a core 2 quad of the same (or close enough) speed. Does hyper threading make a difference to Maya or is it more performance per core based? I'm sure he's prefer I'd build another render node than pay for a bleeding edge CPU that only adds fractionly more GHz. -- The rest of the spec so far: 4Gb - 8Gb ram 64 bit OS: Probably Windows 7 (I know Linux is free, but want to build something my friend can support himself as easily as he supports his own workstation) 1TB HDD to hold textures, Maya files and renders which will be copied to central storage later Mobo with on-board video, gigabit NIC 500 - 650 watt PSU Desktop case something like a: Cooler Master ATCS 840 The machines will sold afterwards if necessary. -- If anyone has had experience in Maya and has done any tests with the new CPUs vs. the older ones I'd really appreciate your input.

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  • 0 connected nodes in datastax opscenter

    - by gansbrest
    Installed opscenterd on the separate node outside of the cluster, but within firewall ( aws security group ). Tested all possible ports between agents and opcenter server. No errors in the log.. 2013-10-30 01:07:23+0000 [FC_Cluster] INFO: Initializing event storage. 2013-10-30 01:07:23+0000 [FC_Cluster] INFO: Attempting to load all persisted alert rules 2013-10-30 01:07:23+0000 [FC_Cluster] INFO: Done loading persisted alert rules 2013-10-30 01:07:23+0000 [FC_Cluster] INFO: Done initializing event storage. 2013-10-30 01:07:23+0000 [FC_Cluster] INFO: Done loading persisted scheduled job descriptions 2013-10-30 01:07:23+0000 [FC_Cluster] INFO: OpsCenter starting up. 2013-10-30 01:07:23+0000 [] INFO: Finished starting new cluster services for FC_Cluster 2013-10-30 01:08:04+0000 [FC_Cluster] INFO: Agent for ip 10.34.10.185 is version u'3.2.2' 2013-10-30 01:08:04+0000 [FC_Cluster] INFO: Agent for ip 10.32.37.251 is version u'3.2.2' 2013-10-30 01:08:04+0000 [FC_Cluster] INFO: Agent for ip 10.82.226.252 is version u'3.2.2' The most interesting part that I can see some data in the opscenter UI, when I stop agents, there is no data displayed, when I start - it show up again, but at the same time it shows 0 connected nodes. Storage capacity is even funnier - 3 of 0 nodes.. Any ideas why that could be happening?

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  • Neural Network settings for fast training

    - by danpalmer
    I am creating a tool for predicting the time and cost of software projects based on past data. The tool uses a neural network to do this and so far, the results are promising, but I think I can do a lot more optimisation just by changing the properties of the network. There don't seem to be any rules or even many best-practices when it comes to these settings so if anyone with experience could help me I would greatly appreciate it. The input data is made up of a series of integers that could go up as high as the user wants to go, but most will be under 100,000 I would have thought. Some will be as low as 1. They are details like number of people on a project and the cost of a project, as well as details about database entities and use cases. There are 10 inputs in total and 2 outputs (the time and cost). I am using Resilient Propagation to train the network. Currently it has: 10 input nodes, 1 hidden layer with 5 nodes and 2 output nodes. I am training to get under a 5% error rate. The algorithm must run on a webserver so I have put in a measure to stop training when it looks like it isn't going anywhere. This is set to 10,000 training iterations. Currently, when I try to train it with some data that is a bit varied, but well within the limits of what we expect users to put into it, it takes a long time to train, hitting the 10,000 iteration limit over and over again. This is the first time I have used a neural network and I don't really know what to expect. If you could give me some hints on what sort of settings I should be using for the network and for the iteration limit I would greatly appreciate it. Thank you!

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  • TVirtualStringTree - resetting non-visual nodes and memory consumption

    - by Remy Lebeau - TeamB
    I have an app that loads records from a binary log file and displays them in a virtual TListView. There are potentially millions of records in a file, and the display can be filtered by the user, so I do not load all of the records in memory at one time, and the ListView item indexes are not a 1-to-1 relation with the file record offsets (List item 1 may be file record 100, for instance). I use the ListView's OnDataHint event to load records for just the items the ListView is actually interested in. As the user scrolls around, the range specified by OnDataHint changes, allowing me to free records that are not in the new range, and allocate new records as needed. This works fine, speed is tolerable, and the memory footprint is very low. I am currently evaluating TVirtualStringTree as a replacement for the TListView, mainly because I want to add the ability to expand/collapse records that span multiple lines (I can fudge it with the TListView by incrementing/decrementing the item count dynamically, but this is not as straight forward as using a real tree). For the most part, I have been able to port the TListView logic and have everything work as I need. I notice that TVirtualStringTree's virtual paradigm is vastly different, though. It does not have the same kind of OnDataHint functionality that TListView does (I can use the OnScroll event to fake it, which allows my memory buffer logic to continue working), and I can use the OnInitializeNode event to associate nodes with records that are allocated. However, once a tree node is initialized, it sees that it remains initialized for the lifetime of the tree. That is not good for me. As the user scrolls around and I remove records from memory, I need to reset those non-visual nodes without removing them from the tree completely, or losing their expand/collapse states. When the user scrolls them back into view, I can re-allocate the records and re-initialize the nodes. Basically, I want to make TVirtualStringTree act as much like TListView as possible, as far as its virtualization is concerned. I have seen that TVirtualStringTree has a ResetNode() method, but I encounter various errors whenever I try to use it. I must be using it wrong. I also thought of just storing a data pointer inside each node to my record buffers, and I allocate and free memory, update those pointers accordingly. The end effect does not work so well, either. Worse, my largest test log file has ~5 million records in it. If I initialize the TVirtualStringTree with that many nodes at one time (when the log display is unfiltered), the tree's internal overhead for its nodes takes up a whopping 260MB of memory (without any records being allocated yet). Whereas with the TListView, loading the same log file and all the memory logic behind it, I can get away with using just a few MBs. Any ideas?

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  • TVirtualStringTree - resetting non-visual nodes and memory comsumption

    - by Remy Lebeau - TeamB
    I have an app that loads records from a binary log file and displays them in a virtual TListView. There are potentially millions of records in a file, and the display can be filtered by the user, so I do not load all of the records in memory at one time, and the ListView item indexes are not a 1-to-1 relation with the file record offsets (List item 1 may be file record 100, for instance). I use the ListView's OnDataHint event to load records for just the items the ListView is actually interested in. As the user scrolls around, the range specified by OnDataHint changes, allowing me to free records that are not in the new range, and allocate new records as needed. This works fine, speed is tolerable, and the memory footprint is very low. I am currently evaluating TVirtualStringTree as a replacement for the TListView, mainly because I want to add the ability to expand/collapse records that span multiple lines (I can fudge it with the TListView by incrementing/decrementing the item count dynamically, but this is not as straight forward as using a real tree). For the most part, I have been able to port the TListView logic and have everything work as I need. I notice that TVirtualStringTree's virtual paridigm is vastly different, though. It does not have the same kind of OnDataHint functionality that TListView does (I can use the OnScroll event to fake it, which allows my memory buffer logic to continue working), and I can use the OnInitializeNode event to associate nodes with records that are allocated. However, once a tree node is initialized, it sees that it remains initialized for the lifetime of the tree. That is not good for me. As the user scrolls around and I remove records from memory, I need to reset those non-visual nodes without removing them from the tree completely, or losing their expand/collapse states. When the user scrolls them back into view, I can re-allocate the records and re-initialize the nodes. Basically, I want to make TVirtualStringTree act as much like TListView as possible, as far as its virtualization is concerned. I have seen that TVirtualStringTree has a ResetNode() method, but I encounter various errors whenever I try to use it. I must be using it wrong. I also thought of just storing a data pointer inside each node to my record buffers, and I allocate and free memory, update those pointers accordingly. The end effect does not work so well, either. Worse, my largest test log file has ~5 million records in it. If I initialize the TVirtualStringTree with that many nodes at one time (when the log display is unfiltered), the tree's internal overhead for its nodes takes up a whopping 260MB of memory (without any records being allocated yet). Whereas with the TListView, loading the same log file and all the memory logic behind it, I can get away with using just a few MBs. Any ideas?

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  • Using jQuery to gather all text nodes from a wrapped set, separated by spaces

    - by Bungle
    I'm looking for a way to gather all of the text in a jQuery wrapped set, but I need to create spaces between sibling nodes that have no text nodes between them. For example, consider this HTML: <div> <ul> <li>List item #1.</li><li>List item #2.</li><li>List item #3.</li> </ul> </div> If I simply use jQuery's text() method to gather the text content of the <div>, like such: var $div = $('div'), text = $div.text().trim(); alert(text); that produces the following text: List item #1.List item #2.List item #3. because there is no whitespace between each <li> element. What I'm actually looking for is this (note the single space between each sentence): List item #1. List item #3. List item #3. This suggest to me that I need to traverse the DOM nodes in the wrapped set, appending the text for each to a string, followed by a space. I tried the following code: var $div = $('div'), text = ''; $div.find('*').each(function() { text += $(this).text().trim() + ' '; }); alert(text); but this produced the following text: This is list item #1.This is list item #2.This is list item #3. This is list item #1. This is list item #2. This is list item #3. I assume this is because I'm iterating through every descendant of <div> and appending the text, so I'm getting the text nodes within both <ul> and each of its <li> children, leading to duplicated text. I think I could probably find/write a plain JavaScript function to recursively walk the DOM of the wrapped set, gathering and appending text nodes - but is there a simpler way to do this using jQuery? Cross-browser consistency is very important. Thanks for any help!

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  • XSL transformation generating output from other nodes

    - by Abel Morelos
    I have the following XSL template: <xsl:template match="SOAP-ENV:Body/*[local-name()='Publisher']"> <html> <xsl:call-template name="body" /> </html> </xsl:template> The previous template generates the output I want, it's generating the tags containing the output generated by the "body" template. The issue I'm having is that before the opening tag I'm getting text output from a previous node. Not sure why this is happening since I'm not selecting these other nodes. For example: <SOAP-ENV:Header> <!-- Many child nodes here--> </SOAP-ENV:Header> <SOAP-ENV:Body> <publishParty:Publisher> <!-- Many child nodes here--> </publishParty:Publisher> </SOAP-ENV:Body> Given the previous sample XML fragment, my output would contain what I would expect of formatting the Publisher element, but I'm also getting the text nodes of the children of the SOAP-ENV:Header node. Any ideas? Thanks!

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  • Set LD_LIBRARY_PATH and CLASSPATH on cluster nodes before running a hadoop job

    - by Ashish Sharma
    I need to set LD_LIBRARY_PATH and CLASSPATH before running a job a cluster. In LD_LIBRARY_PATH i need to add location of some jars which are required while running the job, As these jars are avaiable at my cluster, similar with CLASSPATH. I have a 3 NODE cluster, I need to set this LD_LIBRARY_PATH and CLASSPATH for all the 3 data nodes so that the following jar are available while running the job

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  • PyQt: How to keep QTreeView nodes correctly expanded after a sort

    - by taynaron
    I'm writing a simple test program using QTreeModel and QTreeView for a more complex project later on. In this simple program, I have data in groups which may be contracted or expanded, as one would expect in a QTreeView. The data may also be sorted by the various data columns (QTreeView.setSortingEnabled is True). Each tree item is a list of data, so the sort function implemented in the TreeModel class uses the built-in python list sort: self.layoutAboutToBeChanged.emit() self.rootItem.childItems.sort(key=lambda x: x.itemData[col], reverse=order) for item in self.rootItem.childItems: item.childItems.sort(key=lambda x: x.itemData[col], reverse=order) self.layoutChanged.emit() The problem is that whenever I change the sorting of the root's child items (the tree is only 2 levels deep, so this is the only level with children) the nodes aren't necessarily expanded as they were before. If I change the sorting back without expanding or collapsing anything, the nodes are expanded as before the sorting change. Can anyone explain to me what I'm doing wrong? I suspect it's something with not properly reassigning QModelIndex with the sorted nodes, but I'm not sure.

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