There is a lesson_location Element in the data model used to store the position where the student left off in the SCO.
Is there any element which decribes the total number of slides or total number of lessons that can be bookmarked in the scorm package in SCORM 1.2 ?
Not officially. Courses can be built in any fashion, there is no expectation that there will be a slide number.
Most people use suspend_data to store a custom string containing the info you require. You could also store it in lesson_location.
For example (and this is just one of many ways to do it):
var totalSlides = 10;
var currentSlide = 3;
LMSSetValue("cmi.core.lesson_location", currentSlide + "|" + totalSlides);
var lmsdata = LMSGetValue("cmi.core.lesson_location").split("|");
totalSlides = lmsdata[1];
currentSlide = lmsdata[0];
This is a very contrived example, but you get the point. Don't forget to add error checking, this example will throw an error if there is no second element in the lmsdata array. You could also use JSON, but it's more verbose and eats up characters -- lesson_location and suspend_data have limitations to the number of characters that can be stored, esp. in SCORM 1.2.
See all the data model elements here: http://scorm.com/scorm-explained/technical-scorm/run-time/run-time-reference/
Related
At first, from the Data Render panel in icCube report, I used context.cumulativeCol(); in the Value field in order to create my cumulated graph.
Now, since the format of my data is not well suited for my application (I have values such as '4.547473508864641e-13' which I want to be formatted to 0.00), I tried to add parameters to the function :
var col = context.getColumnIndex();
var measure = context.getMeasures();
var property = "FORMATTED_VALUE";
return context.cumulativeCol(col, measure, property);
But I cannot get a proper output.
How should I do it?
You cannot use FORMATTED_VALUE to format numbers calculated on the client side, it's available on for data that comes directly from the server. So in your case you need to implement your own client-side formatting. You could use mathJS that bundled to the reporting i.e.:
return math.format(context.cumulativeCol(col), {notation: "fixed", precision: 2})
Or use any other JS formatting method like .toFixed(2)
I am trying to understand the char lstm example mentioned here - char-lstm julia example
Function lstm_cell accepts the second parameter as previous state -
function lstm_cell(data::mx.SymbolicNode, prev_state::LSTMState, param::LSTMParam;num_hidden::Int=512, dropout::Real=0, name::Symbol=gensym())
However, in the section - #stack LSTM cells
next_state = lstm_cell(hidden, l_state, l_param, num_hidden=dim_hidden, dropout=dp,name=Symbol(name, "lstm$t"))
hidden = next_state.h
layer_param_states[i] = (l_param, next_state)
layer_param_states[i] gets updated with the next state-
layer_param_states[i] = (l_param, next_state)
why is this done here. Why is the previous state being updated with the next state.
Because layer_param_states stores the final states of the sequence. Note in https://github.com/dmlc/MXNet.jl/blob/master/examples/char-lstm/lstm.jl#L110 the final state is grouped and will be used to make loss with provided labels.
Just FYI, the python example does exactly the same thing: https://github.com/apache/incubator-mxnet/blob/master/example/rnn/old/lstm.py#L167 . The name last_states makes more sense.
I'm trying to scrape http://www.ign.com/games/reviews using Nokogiri and I'd like to instantiate new review objects that correspond to each game review on the page. Naturally, I'd also like to grab each numeric Score from each review and assign that score value as a class attribute to my review objects.
The problem is, the best I can do is return an entire string of scores mushed together instead of a list consisting of each score.
class VideoGameReviews::Review
attr_accessor :name, :score, :url
def self.scrape_titles
#doc = Nokogiri::HTML(open("http://www.ign.com/games/reviews?"))
#doc.search("#item-list div.itemList div.itemList-item").each do |review|
new_review = VideoGameReviews::Review.new
new_review.score = review.search("span.scoreBox-score").text
=> "99996.37.17.17.17778.58.58.586.36.47.187.57.88.95.587.6" #Not what I want
end
end
end
Any advice on how to extract a list of scores with each score separate and unique from other scores? Maybe use a more specific CSS selector?
You are using nokogiri properly but need to revise your logic to store the scores properly. For instance, we can get the score for an individual game pretty easily:
new_review.score = fourth_item.search("span.scoreBox-score").text
=> "6.3"
Instead of having to do everything in a single method, you can start by breaking your code into smaller methods and cacheing values as needed. I would change this class name as well since your Review class both represents a Review item and also scrapes (violation of Single Responsibility Principle). Maybe something like the following would be better?
require ‘nokogiri’
class VideoGameReviews::ReviewScraper
def reviews
#reviews ||= Nokogiri::HTML(open("http://www.ign.com/games/reviews?"))
end
def review_items
#review_items ||= reviews.search("#item-list div.itemList div.itemList-item")
end
def store_reviews
review_items.each do |review|
new_review = VideoGameReviews::Review.new #Review class still used to save review
new_review.score = review.search("span.scoreBox-score").text
#get other data
new_review.save! #or however you plan on persisting the data
end
end
end
The question will be: how will you save the reviews (in local memory, in a db, etc)? For something quick, ActiveRecord is pretty simple (and you use it independently from Rails).
Note that the :each method in Ruby will always return the original collection on which it's called. so for instance the following will return [1,2]:
[1,2].each do |n|
n * 4
end
I'm trying to extract a sub-graph from a global network (sub-networks of specific nodes to a specific depth).
The network is composed of nodes labeled as Account with a property of iban and relationships of TRANSFER_TO_AGG.
The cypher syntax is as followed:
MATCH (a:Account { iban :'FR7618206004274157697300156' }),(b:Account),
p = allShortestPaths((a)-[:TRANSFER_TO_AGG*..3]-(b))
RETURN p limit 250
This works perfectly on the Neo4J web interface. However, when trying to save the results to an R object using the command cypher I get the following error:
"Error in as.data.frame.list(value, row.names = rlabs) :
supplied 92 row names for 1 rows"
I believe this is due to the fact that if returning data, you can only query for tabular results. That is, this method has no current functionality for Cypher results containing array properties, collections, nodes, or relationships.
Can anyone offer a solution ?
I've recently added functionality for returning pathways as R objects. First, uninstall / reinstall RNeo4j. Then, see:
?getSinglePath
?getPaths
?shortestPath
?allShortestPaths
?nodes
?rels
?startNode
?endNode
For your query specifically, you would use getPaths():
library(RNeo4j)
graph = startGraph("http://localhost:7474/db/data/")
query = "
MATCH (a:Account { iban :'FR7618206004274157697300156' }),(b:Account),
p = allShortestPaths((a)-[:TRANSFER_TO_AGG*..3]-(b))
RETURN p limit 250
"
p = getPaths(graph, query)
p is a list of path objects. See the docs for examples of using the apply family of functions with a list of path objects.
I am trying to scan for possible SNPs and indels by aligning scaffolds to subsequences from a reference genome. (the raw reads are not available). I am using R/bioconductor and the `pairwiseAlignment function from the Biostrings package.
This was working fine for smaller scaffolds, but failed when I tried to align as 56kbp scaffold with the error message:
Error in QualityScaledXStringSet.pairwiseAlignment(pattern = pattern,
: cannot allocate memory block of size 17179869183.7 Gb
I am not sure if this is a bug or not ? ; I was under the impression that the Needleman-Wunsch algorithm used by pairwiseAlignment is an O(n*m) which I thought would imply the computational demand to be on the order of 3.1E9 operations (56K * 56k ~= 3.1E9). It seems the Needleman-Wunsch similarity matrix should as well take up on the order of 3.1 gigs of memory as well. Not sure if I'm not remembering big-o notation correctly or that is actually the memory overhead that would be needed to build the alignment given the overhead of the R scripting environment.
Does anybody have suggestions for a better alignment algorithm to use for aligning longer sequences? An initial alignment was already done using BLAST to find the region of the reference genome to align. I am not entirely confident BLAST's reliability for correctly placing indels and I have not yet been able to find an api as good as that provided by biostrings for parsing the raw BLAST alignments.
By the way, here is a code snippet that replicates the problem:
library("Biostrings")
scaffold_set = read.DNAStringSet(scaffold_file_name) #scaffold_set is a DNAStringSet instance
scafseq = scaffold_set[[scaffold_name]] #scaf_seq is a "DNAString" instance
genome = read.DNAStringSet(genome_file_name)[[1]] #genome is a "DNAString" instance
#qstart, qend, substart, subend are all from intial BLAST alignment step
scaf_sub = subseq(scafseq, start=qstart, end=qend) #56170-letter "DNAString" instance
genomic_sub = subseq(genome, start=substart, end=subend) #56168-letter "DNAString" instance
curalign = pairwiseAlignment(pattern = scaf_sub, subject = genomic_sub)
#that last line gives the error:
#Error in .Call2("XStringSet_align_pairwiseAlignment", pattern, subject, :
#cannot allocate memory block of size 17179869182.9 Gb
The error does not happen with shorter alignments (hundreds of bases).
I have not yet found the length cutoff where the error starts happening
So I use Clustal as an alignment tool. Not sure about the specific performance, but it has never given me issues when doing multiple sequence alignments of large quantity. Here is a script that runs a whole directory of .fasta files and aligns them. You can modify the flags on the system call to suit your input/output needs. Just look at the clustal documentation. This is in Perl, I don't use R too much for alignments. You need to edit the executable path in the script to match where clustal is on your computer.
#!/usr/bin/perl
use warnings;
print "Please type the list file name of protein fasta files to align (end the directory path with a / or this will fail!): ";
$directory = <STDIN>;
chomp $directory;
opendir (DIR,$directory) or die $!;
my #file = readdir DIR;
closedir DIR;
my $add="_align.fasta";
foreach $file (#file) {
my $infile = "$directory$file";
(my $fileprefix = $infile) =~ s/\.[^.]+$//;
my $outfile="$fileprefix$add";
system "/Users/Wes/Desktop/eggNOG_files/clustalw-2.1-macosx/clustalw2 -INFILE=$infile -OUTFILE=$outfile -OUTPUT=FASTA -tree";
}