зеркало из https://github.com/github/dat-science.git
initial import of dat-analysis classes
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module Dat
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class Analysis
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end
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end
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require 'dat/analysis/library'
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require 'dat/analysis/matcher'
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require 'dat/analysis/result'
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require 'dat/analysis/registry'
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require 'dat/analysis/tally'
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module Dat
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# Public: Analyze the findings of an Experiment
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#
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# Typically implementors will wish to subclass this to provide their own
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# implementations of the following methods suited to the environment where
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# `dat-science` is being used: `#read`, `#count`, `#cook`.
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#
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# Example:
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#
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# class AnalyzeThis < Dat::Analysis
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# # Read a result out of our redis stash
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# def read
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# RedisHandle.rpop "scienceness.#{experiment_name}.results"
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# end
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#
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# # Query our redis stash to see how many new results are pending
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# def count
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# RedisHandle.llen("scienceness.#{experiment_name}.results")
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# end
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#
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# # Deserialize a JSON-encoded result from redis
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# def cook(raw_result)
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# return nil unless raw_result
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# JSON.parse raw_result
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# end
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# end
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class Analysis
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# Public: Returns the name of the experiment
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attr_reader :experiment_name
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# Public: Returns the current science mismatch result
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attr_reader :current
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# Public: an alias for #current
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alias_method :result, :current
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# Public: Returns a raw ("un-cooked") version of the current science mismatch result
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attr_reader :raw
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# Public: Gets/Sets the base path for loading matcher and wrapper classes.
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# Note that the base path will be appended with the experiment name
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# before searching for wrappers and matchers.
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attr_accessor :path
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# Public: Create a new Dat::Analysis object. Will load any matcher and
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# wrapper classes for this experiment if `#path` is non-nil.
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#
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# experiment_name - The String naming the experiment to analyze.
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#
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# Examples
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#
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# analyzer = Dat::Analysis.new('bcrypt-passwords')
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# => #<Dat::Analysis:...>
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def initialize(experiment_name)
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@experiment_name = experiment_name
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@wrappers = []
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load_classes unless path.nil? rescue nil
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end
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# Public: process a raw science mismatch result to make it usable in analysis.
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# This is typically overridden by subclasses to do any sort of unmarshalling
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# or deserialization required.
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#
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# raw_result - a raw science mismatch result, typically, as returned by `#read`
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#
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# Returns a "cooked" science mismatch result.
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def cook(raw_result)
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raw_result
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end
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# Public: fetch and summarize pending science mismatch results until an
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# an unrecognized result is found. Outputs summaries to STDOUT. May
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# modify current mismatch result.
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#
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# Returns nil. Leaves current mismatch result set to first unknown result,
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# if one is found.
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def analyze
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track do
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while true
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unless more?
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fetch # clear current result
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return summarize_unknown_result
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end
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print "."
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fetch
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break if unknown?
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count_as_seen identify
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end
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print "\n"
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summarize_unknown_result
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end
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end
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# Public: skip pending mismatch results not satisfying the provided block.
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# May modify current mismatch result.
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#
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# &block - block accepting a prepared mismatch result and returning true
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# or false.
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#
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# Examples:
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#
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# jump_to do |result|
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# result.user.staff?
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# end
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#
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# jump_to do |result|
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# result['group']['id'] > 100 && result['url'] =~ %r{/admin}
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# end
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#
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# jump_to do |result|
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# result['timestamp'].to_i > 1.hour.ago
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# end
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#
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# Returns nil if no satisfying results are found. Current result will be nil.
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# Returns count of remaining results if a satisfying result found. Leaves
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# current result set to first result for which block returns a truthy value.
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def jump_to(&block)
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raise ArgumentError, "a block is required" unless block_given?
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while more?
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fetch
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return count if yield(current)
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end
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# clear current result since nothing of interest was found.
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@current = @identified = nil
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end
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# Public: Are additional science mismatch results available?
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#
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# Returns true if more results can be fetched.
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# Returns false if no more results can be fetched.
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def more?
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count != 0
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end
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# Public: retrieve a new science mismatch result, as returned by `#read`.
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#
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# Returns nil if no new science mismatch results are available.
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# Returns a cooked and wrapped science mismatch result if available.
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# Raises NoMethodError if `#read` is not defined on this class.
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def fetch
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@identified = nil
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@raw = read
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@current = raw ? prepare(raw) : nil
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end
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# Public: Return a readable representation of the current science mismatch
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# result. This will utilize the `#readable` methods declared on a matcher
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# which identifies the current result.
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#
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# Returns a string containing a readable representation of the current
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# science mismatch result.
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# Returns nil if there is no current result.
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def summary
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return nil unless current
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recognizer = identify
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return readable unless recognizer && recognizer.respond_to?(:readable)
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recognizer.readable
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end
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# Public: Print a readable summary for the current science mismatch result
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# to STDOUT.
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#
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# Returns nil.
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def summarize
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puts summary
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end
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# Public: Is the current science mismatch result unidentifiable?
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#
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# Returns nil if current result is nil.
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# Returns true if no matcher can identify current result.
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# Returns false if a single matcher can identify the current result.
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# Raises RuntimeError if multiple matchers can identify the current result.
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def unknown?
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return nil if current.nil?
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!identify
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end
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# Public: Find a matcher which can identify the current science mismatch result.
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#
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# Returns nil if current result is nil.
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# Returns matcher class if a single matcher can identify current result.
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# Returns false if no matcher can identify the current result.
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# Raises RuntimeError if multiple matchers can identify the current result.
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def identify
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return @identified if @identified
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results = registry.identify(current)
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if results.size > 1
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report_multiple_matchers(results)
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end
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@identified = results.first
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end
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# Internal: Output failure message about duplicate matchers for a science
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# mismatch result.
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#
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# dupes - Array of Dat::Analysis::Matcher instances, initialized with a result
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#
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# Raises RuntimeError.
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def report_multiple_matchers(dupes)
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puts "\n\nMultiple matchers identified result:"
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puts
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dupes.each_with_index do |matcher, i|
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print " #{i+1}. "
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if matcher.respond_to?(:readable)
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puts matcher.readable
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else
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puts readable
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end
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end
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puts
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raise "Result cannot be uniquely identified."
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end
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# Internal: cook and wrap a raw science mismatch result.
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#
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# raw_result - an unmodified result, typically, as returned by `#read`
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#
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# Returns the science mismatch result processed by `#cook` and then by `#wrap`.
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def prepare(raw_result)
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wrap(cook(raw_result))
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end
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# Internal: wrap a "cooked" science mismatch result with any known wrapper methods
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#
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# cooked_result - a "cooked" mismatch result, as returned by `#cook`
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#
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# Returns the cooked science mismatch result, which will now respond to any
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# instance methods found on our known wrapper classes
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def wrap(cooked_result)
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if !wrappers.empty?
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cooked_result.send(:instance_variable_set, '@analyzer', self)
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class << cooked_result
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define_method(:method_missing) do |meth, *args|
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found = nil
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@analyzer.wrappers.each do |wrapper|
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next unless wrapper.public_instance_methods.detect {|m| m.to_s == meth.to_s }
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found = wrapper.new(self).send(meth, *args)
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break
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end
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found
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end
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end
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end
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cooked_result
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end
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# Internal: Return the *default* readable representation of the current science
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# mismatch result. This method is typically overridden by subclasses or defined
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# in matchers which wish to customize the readable representation of a science
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# mismatch result. This implementation is provided as a default.
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#
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# Returns a string containing a readable representation of the current
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# science mismatch result.
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def readable
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synopsis = []
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synopsis << "Experiment %-20s first: %10s @ %s" % [
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"[#{current['experiment']}]", current['first'], current['timestamp']
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]
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synopsis << "Duration: control (%6.2f) | candidate (%6.2f)" % [
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current['control']['duration'], current['candidate']['duration']
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]
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synopsis << ""
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if current['control']['exception']
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synopsis << "Control raised exception:\n\t#{current['control']['exception'].inspect}"
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else
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synopsis << "Control value: [#{current['control']['value']}]"
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end
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if current['candidate']['exception']
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synopsis << "Candidate raised exception:\n\t#{current['candidate']['exception'].inspect}"
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else
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synopsis << "Candidate value: [#{current['candidate']['value']}]"
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end
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synopsis << ""
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remaining = current.keys - ['control', 'candidate', 'experiment', 'first', 'timestamp']
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remaining.sort.each do |key|
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if current[key].respond_to?(:keys)
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# do ordered sorting of hash keys
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subkeys = key_sort(current[key].keys)
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synopsis << "\t%15s => {" % [ key ]
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subkeys.each do |subkey|
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synopsis << "\t%15s %15s => %-20s" % [ '', subkey, current[key][subkey].inspect ]
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end
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synopsis << "\t%15s }" % [ '' ]
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else
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synopsis << "\t%15s => %-20s" % [ key, current[key] ]
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end
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end
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synopsis.join "\n"
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end
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def preferred_fields
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%w(id name title owner description login username)
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end
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def key_sort(keys)
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str_keys = keys.map {|k| k.to_s }
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(preferred_fields & str_keys) + (str_keys - preferred_fields)
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end
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# Public: Which matcher classes are known?
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#
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# Returns: list of Dat::Analysis::Matcher classes known to this analyzer.
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def matchers
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registry.matchers
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end
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# Public: Which wrapper classes are known?
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#
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# Returns: list of Dat::Analysis::Result classes known to this analyzer.
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def wrappers
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registry.wrappers
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end
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# Public: Add a matcher or wrapper class to this analyzer.
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#
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# klass - a subclass of either Dat::Analysis::Matcher or Dat::Analysis::Result
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# to be registered with this analyzer.
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#
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# Returns the list of known matchers and wrappers for this analyzer.
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def add(klass)
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klass.add_to_analyzer(self)
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end
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# Public: Load matcher and wrapper classes from the library for our experiment.
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#
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# Returns: a list of loaded matcher and wrapper classes.
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def load_classes
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new_classes = library.select_classes do
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experiment_files.each { |file| load file }
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end
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new_classes.map {|klass| add klass }
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end
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# Internal: Print to STDOUT a readable summary of the current (unknown) science
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# mismatch result, as well a summary of the tally of identified science mismatch
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# results analyzed to this point.
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#
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# Returns nil if there are no pending science mismatch results.
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# Returns the number of pending science mismatch results.
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def summarize_unknown_result
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tally.summarize
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if current
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puts "\nFirst unidentifiable result:\n\n"
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summarize
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else
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puts "\nNo unidentifiable results found. \\m/\n"
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end
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more? ? count : nil
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end
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# Internal: keep a tally of analyzed science mismatch results.
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#
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# &block: block which will presumably call `#count_as_seen` to update
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# tallies of identified science mismatch results.
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#
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# Returns: value returned by &block.
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def track(&block)
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@tally = Tally.new
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yield
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end
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# Internal: Increment count for an object in an ongoing tally.
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#
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# obj - an Object for which we are recording occurrence counts
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#
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# Returns updated tally count for obj.
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def count_as_seen(obj)
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tally.count(obj.class.name || obj.class.inspect)
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end
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# Internal: The current Tally instance. Cached between calls to `#track`.
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#
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# Returns the current Tally instance object.
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def tally
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@tally ||= Tally.new
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end
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# Internal: handle to the library, used for collecting newly discovered
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# matcher and wrapper classes.
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#
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# Returns: handle to the library class.
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def library
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Dat::Analysis::Library
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end
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# Internal: registry of wrapper and matcher classes known to this analyzer.
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#
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# Returns a (cached between calls) handle to our registry instance.
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def registry
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@registry ||= Dat::Analysis::Registry.new
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end
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# Internal: which class files are candidates for loading matchers and wrappers
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# for this experiment?
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#
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# Returns: sorted Array of paths to ruby files which may contain declarations
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# of matcher and wrapper classes for this experiment.
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def experiment_files
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Dir[File.join(path, experiment_name, '*.rb')].sort
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end
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# Internal: Add a matcher class to this analyzer's registry.
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# (Intended to be called only by Dat::Analysis::Matcher and subclasses)
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def add_matcher(matcher_class)
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puts "Loading matcher class [#{matcher_class}]"
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registry.add matcher_class
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end
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# Internal: Add a wrapper class to this analyzer's registry.
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# (Intended to be called only by Dat::Analysis::Result and its subclasses)
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def add_wrapper(wrapper_class)
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puts "Loading results wrapper class [#{wrapper_class}]"
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registry.add wrapper_class
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end
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end
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end
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@ -0,0 +1,30 @@
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module Dat
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# Internal: Keep a registry of Dat::Analysis::Matcher and
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# Dat::Analysis::Result subclasses for use by an Dat::Analysis::Analysis
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# instance.
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class Analysis::Library
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@@known_classes = []
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# Public: Collect matcher and results classes created by the
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# provided block.
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#
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# &block - Block which instantiates matcher and results classes.
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#
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# Returns the newly-instantiated matcher and results classes.
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def self.select_classes(&block)
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@@known_classes = [] # prepare for registering new classes
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yield
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@@known_classes # return all the newly-registered classes
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end
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# Public: register a matcher or results class.
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#
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# klass - a Dat::Analysis::Matcher or Dat::Analysis::Result subclass.
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#
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# Returns the current list of registered classes.
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def self.add(klass)
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@@known_classes << klass
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end
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end
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end
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@ -0,0 +1,43 @@
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module Dat
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# Public: Base class for science mismatch results matchers. Subclasses
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# implement the `#match?` instance method, which returns true when
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# a provided science mismatch result is recognized by the matcher.
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#
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# Subclasses are expected to define `#match?`.
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#
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# Subclasses may optionally define `#readable` to return an alternative
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# readable String representation of a cooked science mismatch result. The
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# default implementation is defined in Dat::Analysis#readable.
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class Analysis::Matcher
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# Public: The science mismatch result to be matched.
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attr_reader :result
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# Internal: Called at subclass instantiation time to register the subclass
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# with Dat::Analysis::Library.
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#
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# subclass - The Dat::Analysis::Matcher subclass being instantiated.
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#
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# Not intended to be called directly.
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def self.inherited(subclass)
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Dat::Analysis::Library.add subclass
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end
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# Internal: Add this class to a Dat::Analysis instance. Intended to be
|
||||
# called from Dat::Analysis to dispatch registration.
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||||
#
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# analyzer - a Dat::Analysis instance for an experiment
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||||
#
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||||
# Returns the analyzer's updated list of known matcher classes.
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def self.add_to_analyzer(analyzer)
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analyzer.add_matcher self
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end
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||||
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||||
# Public: create a new Matcher.
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||||
#
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||||
# result - a science mismatch result, to be tested via `#match?`
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||||
def initialize(result)
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||||
@result = result
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||||
end
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||||
end
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||||
end
|
|
@ -0,0 +1,50 @@
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module Dat
|
||||
# Internal: Registry of Dat::Analysis::Matcher and Dat::Analysis::Result
|
||||
# classes. This is used to maintain the mapping of matchers and
|
||||
# results wrappers for a particular Dat::Analysis instance.
|
||||
class Analysis::Registry
|
||||
|
||||
# Public: Create a new Registry instance.
|
||||
def initialize
|
||||
@known_classes = []
|
||||
end
|
||||
|
||||
# Public: Add a matcher or results wrapper class to the registry
|
||||
#
|
||||
# klass - a Dat::Analysis::Matcher subclass or a Dat::Analysis::Result
|
||||
# subclass, to be added to the registry.
|
||||
#
|
||||
# Returns the list of currently registered classes.
|
||||
def add(klass)
|
||||
@known_classes << klass
|
||||
end
|
||||
|
||||
# Public: Get the list of known Dat::Analysis::Matcher subclasses
|
||||
#
|
||||
# Returns the list of currently known matcher classes.
|
||||
def matchers
|
||||
@known_classes.select {|c| c <= ::Dat::Analysis::Matcher }
|
||||
end
|
||||
|
||||
# Public: Get the list of known Dat::Analysis::Result subclasses
|
||||
#
|
||||
# Returns the list of currently known result wrapper classes.
|
||||
def wrappers
|
||||
@known_classes.select {|c| c <= ::Dat::Analysis::Result }
|
||||
end
|
||||
|
||||
# Public: Get list of Dat::Analysis::Matcher subclasses for which
|
||||
# `#match?` is truthy for the given result.
|
||||
#
|
||||
# result - a cooked science mismatch result
|
||||
#
|
||||
# Returns a list of matchers initialized with the provided result.
|
||||
def identify(result)
|
||||
matchers.inject([]) do |hits, matcher|
|
||||
instance = matcher.new(result)
|
||||
hits << instance if instance.match?
|
||||
hits
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
|
@ -0,0 +1,39 @@
|
|||
module Dat
|
||||
# Public: Base class for wrappers around science mismatch results.
|
||||
#
|
||||
# Instance methods defined on subclasses will be added as instance methods
|
||||
# on science mismatch results handled by Dat::Analysis instances which
|
||||
# add the wrapper subclass via Dat::Analysis#add or Dat::Analysis#load_classes.
|
||||
class Analysis::Result
|
||||
|
||||
# Public: return the current science mismatch result
|
||||
attr_reader :result
|
||||
|
||||
# Internal: Called at subclass instantiation time to register the subclass
|
||||
# with Dat::Analysis::Library.
|
||||
#
|
||||
# subclass - The Dat::Analysis::Result subclass being instantiated.
|
||||
#
|
||||
# Not intended to be called directly.
|
||||
def self.inherited(subclass)
|
||||
Dat::Analysis::Library.add subclass
|
||||
end
|
||||
|
||||
# Internal: Add this class to a Dat::Analysis instance. Intended to be
|
||||
# called from Dat::Analysis to dispatch registration.
|
||||
#
|
||||
# analyzer - a Dat::Analysis instance for an experiment
|
||||
#
|
||||
# Returns the analyzer's updated list of known result wrapper classes.
|
||||
def self.add_to_analyzer(analyzer)
|
||||
analyzer.add_wrapper self
|
||||
end
|
||||
|
||||
# Public: create a new Result wrapper.
|
||||
#
|
||||
# result - a science mismatch result, to be wrapped with our instance methods.
|
||||
def initialize(result)
|
||||
@result = result
|
||||
end
|
||||
end
|
||||
end
|
|
@ -0,0 +1,59 @@
|
|||
module Dat
|
||||
# Internal: Track and summarize counts of occurrences of mismatch objects.
|
||||
#
|
||||
# Examples
|
||||
#
|
||||
# tally = Dat::Analysis::Tally.new
|
||||
# tally.count('foo')
|
||||
# => 1
|
||||
# tally.count('bar')
|
||||
# => 1
|
||||
# tally.count('foo')
|
||||
# => 2
|
||||
# puts tally.summary
|
||||
# Summary of known mismatches found:
|
||||
# foo 2
|
||||
# bar 1
|
||||
# TOTAL: 3
|
||||
# => nil
|
||||
#
|
||||
class Analysis::Tally
|
||||
|
||||
# Public: Returns the hash of recorded mismatches.
|
||||
attr_reader :tally
|
||||
|
||||
def initialize
|
||||
@tally = {}
|
||||
end
|
||||
|
||||
# Public: record an occurrence of a mismatch class.
|
||||
def count(klass)
|
||||
tally[klass] ||= 0
|
||||
tally[klass] += 1
|
||||
end
|
||||
|
||||
# Public: Return a String summary of mismatches seen so far.
|
||||
#
|
||||
# Returns a printable String summarizing the counts of mismatches seen,
|
||||
# sorted in descending count order.
|
||||
def summary
|
||||
return "\nNo results identified.\n" if tally.keys.empty?
|
||||
result = [ "\nSummary of identified results:\n" ]
|
||||
sum = 0
|
||||
tally.keys.sort_by {|k| -1*tally[k] }.each do |k|
|
||||
sum += tally[k]
|
||||
result << "%30s: %6d" % [k, tally[k]]
|
||||
end
|
||||
result << "%30s: %6d" % ['TOTAL', sum]
|
||||
result.join "\n"
|
||||
end
|
||||
|
||||
# Public: prints a summary of mismatches seen so far to STDOUT (see
|
||||
# `#summary` above).
|
||||
#
|
||||
# Returns nil.
|
||||
def summarize
|
||||
puts summary
|
||||
end
|
||||
end
|
||||
end
|
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