Best Rr_ruby code snippet using RR.to_proc
spec_helper.rb
Source:spec_helper.rb
...15 end16 def parameters17 @proxy.method_missing(:method, @name).parameters18 end19 def to_proc20 @proxy.method_missing(:method, @name).to_proc21 end22 end23end24RSpec.configure do |config|25 config.treat_symbols_as_metadata_keys_with_true_values = true26 config.run_all_when_everything_filtered = true27 config.filter_run :focus28 # Run specs in random order to surface order dependencies. If you find an29 # order dependency and want to debug it, you can fix the order by providing30 # the seed, which is printed after each run.31 # --seed 123432 config.order = 'random'33# config.mock_framework = :rr34end...
spy_verification.rb
Source:spy_verification.rb
...22 end23 def call24 (error = RR.recorded_calls.match_error(self)) && raise(error)25 end26 def to_proc27 lambda do28 call29 end30 end31 32 protected33 attr_writer :times_matcher34 def set_argument_expectation_for_args(args)35 # with_no_args and with actually set @argument_expectation36 args.empty? ? with_no_args : with(*args)37 end38 39 def install_method_callback(return_value_block)40 # Do nothing. This is to support DefinitionConstructionMethods...
to_proc
Using AI Code Generation
1 proc { |x| x + 1 }2[1,2,3].map(&RR.new)3 proc { |x| x + 1 }4[1,2,3].map(&RR.new)5 proc { |x| x + 1 }6[1,2,3].map(&RR.ne)7 proc { |x| x + 1 }8[1,2,3].map(&RR.new)9 proc { |x| x + 1 }10[1,2,3].ap(&RR.nw)11 proc { |x| x + 1 }12[1,2,3].mp(&RR.new)13 proc { |x| x + 1 }14[1,2,3].map(&RR.new)15 proc { |x| x + 1 }16[1,2,3].map(&RR.ew)17 proc { |x| x + 1 }
to_proc
Using AI Code Generation
1 lambda { |x| x.to_sym }2 str = %w{a b c}3 puts str.map(&RR.new)4 lambda { |x| x.to_sym }5 str = %w{a b c}6 puts str.map(&RR.new)7 lambda { |x| x.to_sym }8 str = %w{a b c}9 puts str.map(&RR.new)10 lambda { |x| x.to_sym }11 str = %w{a b b}12 puts str.map(&RRda {)13 lambda |x|x| x.to_sym }14 str = %w{a b c}
to_proc
Using AI Code Generation
1 Proc.new { | x.to_sym }2 str = %w{a b c}3 puts str.map(&RR.new)4 lambda { |x| x.to_sym }5 str = %w{a b c}6 puts str.map(&RR.new)7 lambda { |x| x.to_sym }8 str = %w{a b c}9 puts str.map(&RR.new)10 lambda { |x| x.to_sym }11 str = %w{a b c}12 puts str.map(&RR.new)13 lambda { |x| x.to_sym }14 str = %w{a b c}
to_proc
Using AI Code Generation
1 Proc.new { |*args| args.map { |arg| arg.to_s } }2p arr.map(&rr)3arr = %w(one two three)4p arr.map(&rr)5p arr.map(&rr)6arr = [{:a => 1}, {:b => 2}, {:c => 3}]7p arr.map(&rr)8arr = [1, 'two', 3.0, [4, 5], {:six => 6}]9p arr.map(&rr)10p arr.map(&rr)
to_proc
Using AI Code Generation
1 Proc.new { |x| x + @a }2puts [1, 2, 3, 4, 5].map(&RR.new)3 proc { |x| x + @a }4puts [1, 2, 3,4, 5].mp(&RR.new)5 ambda { |x| x + @a }6putr [1, 2, 3, 4, 5].map(&RR.new)7p arr.map(&rr)
to_proc
Using AI Code Generation
1 proc { |x| puts x }2[1,2,3].each(&RR.new)3 proc { |x| puts x }4[1,2,3].each(&RR.new)5 proc { |x| puts x }6[1,2,3].each(&RR.new)7 proc { |x| puts x }8[1,2,3].each(&RR.new)9 proc { |x| puts x }10[1,2,3].each(&RR.new)11 proc { |x| puts x }12[1,2,3].each(&RR.new)13 proc { |x| puts x }14[1,2,3].each(&RR.new)
to_proc
Using AI Code Generation
1 Proc.new { |x| x + @a }2puts [1, 2, 3, 4, 5].map(&RR.new)3 proc { |x| x + @a }4puts [1, 2, 3, 4, 5].map(&RR.new)5 lambda { |x| x + @a }6puts [1, 2, 3, 4, 5].map(&RR.new)
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