Module: Enumerable
- Defined in:
- lib/active_object/enumerable.rb
Instance Method Summary collapse
- #cluster(&block) ⇒ Object
- #difference(identity = 0, &block) ⇒ Object
- #divisible(identity = 0, &block) ⇒ Object
- #drop_last(n) ⇒ Object
- #drop_last_if ⇒ Object
- #exactly?(n) ⇒ Boolean
- #exclude?(object) ⇒ Boolean
- #expand ⇒ Object
- #exponential(identity = 0, &block) ⇒ Object
- #frequencies ⇒ Object
- #incase?(object) ⇒ Boolean
- #many? ⇒ Boolean
- #max(identity = 0) ⇒ Object
- #mean(identity = 0) ⇒ Object
- #median(identity = 0) ⇒ Object
- #min(identity = 0) ⇒ Object
- #mode(identity = 0) ⇒ Object
- #multiple(identity = 0, &block) ⇒ Object
- #range(identity = 0) ⇒ Object
- #several? ⇒ Boolean
- #standard_deviation(identity = 0) ⇒ Object
- #sum(identity = 0, &block) ⇒ Object
- #take_last(n) ⇒ Object
- #take_last_if ⇒ Object
- #variance(identity = 0) ⇒ Object
Instance Method Details
#cluster(&block) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 3 def cluster(&block) result = [] each do |element| if result.last && (yield(result.last.last) == yield(element)) result.last << element else result << [element] end end result end |
#difference(identity = 0, &block) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 17 def difference(identity=0, &block) if block_given? map(&block).difference(identity) else inject { |d,v| d - v } || identity end end |
#divisible(identity = 0, &block) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 25 def divisible(identity=0, &block) if block_given? map(&block).divisible(identity) else inject { |d,v| d / v } || identity end end |
#drop_last(n) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 33 def drop_last(n) collection_size = to_a.size return(self) if n > collection_size self[0...(collection_size - n)] end |
#drop_last_if ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 39 def drop_last_if return(to_enum(:drop_last_if)) unless block_given? result = [] dropping = true reverse_each do |value| result.unshift(value) unless dropping &&= yield(value) end result end |
#exactly?(n) ⇒ Boolean
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# File 'lib/active_object/enumerable.rb', line 50 def exactly?(n) found_count = 0 block_given? ? each { |*o| found_count += 1 if yield(*o) } : each { |o| found_count += 1 if o } (found_count > n) ? false : n == found_count end |
#exclude?(object) ⇒ Boolean
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# File 'lib/active_object/enumerable.rb', line 57 def exclude?(object) !include?(object) end |
#expand ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 62 def map { |n| n.is_a?(Enumerable) ? n. : n } end |
#exponential(identity = 0, &block) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 66 def exponential(identity=0, &block) if block_given? map(&block).exponential(identity) else inject { |d,v| d ** v } || identity end end |
#frequencies ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 74 def frequencies each_with_object(Hash.new(0)) { |e, a| a[e] += 1 } end |
#incase?(object) ⇒ Boolean
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# File 'lib/active_object/enumerable.rb', line 78 def incase?(object) any? { |x| object === x } end |
#many? ⇒ Boolean
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# File 'lib/active_object/enumerable.rb', line 83 def many? found_count = 0 if block_given? any? do |v| found_count += 1 if yield v found_count > 1 end else any? { (found_count += 1) > 1 } end end |
#max(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 96 def max(identity=0) size > 0 ? sort.last : identity end |
#mean(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 104 def mean(identity=0) return(identity) unless size > 0 collection_size = size sum / collection_size.to_f end |
#median(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 110 def median(identity=0) collection_size = size collection_sorted = sort return(identity) unless collection_size > 0 if (collection_size % 2).zero? (collection_sorted[(collection_size / 2.0) -1.0] + collection_sorted[collection_size / 2.0]) / 2.0 else collection_sorted[collection_size / 2.0] end end |
#min(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 100 def min(identity=0) size > 0 ? sort.first : identity end |
#mode(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 123 def mode(identity=0) return(identity) unless size > 0 frequency_distribution = inject(Hash.new(0)) { |h,v| h[v] += 1; h } frequency_top_two = frequency_distribution.sort { |k,v| v[1] <=> k[1] }.take(2) if frequency_top_two.size == 1 frequency_top_two.first.first elsif frequency_top_two.first.last == frequency_top_two.last.last nil else frequency_top_two.first.first end end |
#multiple(identity = 0, &block) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 138 def multiple(identity=0, &block) if block_given? map(&block).multiple(identity) else inject { |d,v| d * v } || identity end end |
#range(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 146 def range(identity=0) return(identity) unless size > 0 collection_sorted = sort collection_sorted.last - collection_sorted.first end |
#several? ⇒ Boolean
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# File 'lib/active_object/enumerable.rb', line 152 def several? found_count = 0 block_given? ? each { |*o| found_count += 1 if yield(*o) } : each { |o| found_count += 1 if o } (found_count > 1) ? true : false end |
#standard_deviation(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 158 def standard_deviation(identity=0) return(identity) if size < 2 Math.sqrt(variance) end |
#sum(identity = 0, &block) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 164 def sum(identity=0, &block) if block_given? map(&block).sum(identity) else inject { |s,v| s + v } || identity end end |
#take_last(n) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 173 def take_last(n) collection_size = to_a.size return(self) if n > collection_size self[(collection_size - n)..-1] end |
#take_last_if ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 179 def take_last_if return(to_enum(:take_last_if)) unless block_given? result = [] reverse_each { |e| yield(e) ? result.unshift(e) : break } result end |
#variance(identity = 0) ⇒ Object
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# File 'lib/active_object/enumerable.rb', line 187 def variance(identity=0) collection_size = size return(identity) if collection_size <= 1 sum = inject(0.0) { |s,v| s + (v - mean) ** 2.0 } sum / (collection_size.to_f - 1.0) end |