Sha256: d3bc00faa0216773df3191bf26fceb8973ce368338f0ce04f32cccd4876f4433
Contents?: true
Size: 1.85 KB
Versions: 2
Compression:
Stored size: 1.85 KB
Contents
require 'linguist/classifier' require 'linguist/language' module Linguist # Model for accessing classifier training data. class Sample # Samples live in test/ for now, we'll eventually move them out PATH = File.expand_path("../../../test/fixtures", __FILE__) # Public: Iterate over each Sample. # # &block - Yields Sample to block # # Returns nothing. def self.each(&block) Dir.entries(PATH).each do |category| next if category == '.' || category == '..' # Skip text and binary for now # Possibly reconsider this later next if category == 'text' || category == 'binary' # Map directory name to a Language alias language = Linguist::Language.find_by_alias(category) raise "No language for #{category.inspect}" unless language dirname = File.join(PATH, category) Dir.entries(dirname).each do |filename| next if filename == '.' || filename == '..' yield new(File.join(dirname, filename), language) end end nil end # Public: Build Classifier from all samples. # # Returns trained Classifier. def self.classifier classifier = Classifier.new each { |sample| classifier.train(sample.language, sample.data) } classifier.gc end # Internal: Initialize Sample. # # Samples should be initialized by Sample.each. # # path - String full path to file. # language - Language of sample. def initialize(path, language) @path = path @language = language end # Public: Get full path to file. # # Returns String. attr_reader :path # Public: Get sample language. # # Returns Language. attr_reader :language # Public: Read file contents. # # Returns String. def data File.read(path) end end end
Version data entries
2 entries across 2 versions & 1 rubygems
Version | Path |
---|---|
github-linguist-2.0.1 | lib/linguist/sample.rb |
github-linguist-2.0.0 | lib/linguist/sample.rb |