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Imported minitest 2.0.2 r6093

git-svn-id: svn+ssh://ci.ruby-lang.org/ruby/trunk@30347 b2dd03c8-39d4-4d8f-98ff-823fe69b080e
This commit is contained in:
ryan 2010-12-25 04:55:15 +00:00
parent 03ca479728
commit 9698217cda
4 changed files with 68 additions and 6 deletions

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@ -1,3 +1,7 @@
Sat Dec 25 13:37:55 2010 Ryan Davis <ryand-ruby@zenspider.com>
* lib/minitest/*.rb: Imported minitest 2.0.2 r6093.
Sat Dec 25 13:05:59 2010 Tanaka Akira <akr@fsij.org>
* random.c: parenthesize macro arguments.

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@ -10,11 +10,11 @@ require 'minitest/spec'
class MiniTest::Unit
attr_accessor :runner
def run_benchmarks
def run_benchmarks # :nodoc:
_run_anything :benchmark
end
def benchmark_suite_header suite
def benchmark_suite_header suite # :nodoc:
"\n#{suite}\t#{suite.bench_range.join("\t")}"
end
@ -301,27 +301,63 @@ class MiniTest::Unit
end
class MiniTest::Spec
##
# This is used to define a new benchmark method. You usually don't
# use this directly and is intended for those needing to write new
# performance curve fits (eg: you need a specific polynomial fit).
#
# See ::bench_performance_linear for an example of how to use this.
def self.bench name, &block
define_method "bench_#{name.gsub(/\W+/, '_')}", &block
end
def self.bench_range &block
return super unless block
meta = (class << self; self; end)
meta.send :define_method, "bench_range", &block
end
##
# Create a benchmark that verifies that the performance is linear.
#
# describe "my class" do
# bench_performance_linear "fast_algorithm", 0.9999 do
# @obj.fast_algorithm
# end
# end
def self.bench_performance_linear name, threshold = 0.9, &work
bench name do
assert_performance_linear threshold, &work
end
end
##
# Create a benchmark that verifies that the performance is constant.
#
# describe "my class" do
# bench_performance_constant "zoom_algorithm!" do
# @obj.zoom_algorithm!
# end
# end
def self.bench_performance_constant name, threshold = 0.99, &work
bench name do
assert_performance_constant threshold, &work
end
end
##
# Create a benchmark that verifies that the performance is exponential.
#
# describe "my class" do
# bench_performance_exponential "algorithm" do
# @obj.algorithm
# end
# end
def self.bench_performance_exponential name, threshold = 0.99, &work
bench name do
assert_performance_exponential threshold, &work

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@ -6,18 +6,40 @@
class MockExpectationError < StandardError; end
##
# A simple and clean mock object framework.
module MiniTest
##
# All mock objects are an instance of Mock
class Mock
def initialize
def initialize # :nodoc:
@expected_calls = {}
@actual_calls = Hash.new {|h,k| h[k] = [] }
end
##
# Expect that method +name+ is called, optionally with +args+, and
# returns +retval+.
#
# @mock.expect(:meaning_of_life, 42)
# @mock.meaning_of_life # => 42
#
# @mock.expect(:do_something_with, true, [some_obj, true])
# @mock.do_something_with(some_obj, true) # => true
def expect(name, retval, args=[])
@expected_calls[name] = { :retval => retval, :args => args }
self
end
##
# Verify that all methods were called as expected. Raises
# +MockExpectationError+ if the mock object was not called as
# expected.
def verify
@expected_calls.each_key do |name|
expected = @expected_calls[name]
@ -28,7 +50,7 @@ module MiniTest
true
end
def method_missing(sym, *args)
def method_missing(sym, *args) # :nodoc:
raise NoMethodError unless @expected_calls.has_key?(sym)
raise ArgumentError unless @expected_calls[sym][:args].size == args.size
retval = @expected_calls[sym][:retval]
@ -37,7 +59,7 @@ module MiniTest
end
alias :original_respond_to? :respond_to?
def respond_to?(sym)
def respond_to?(sym) # :nodoc:
return true if @expected_calls.has_key?(sym)
return original_respond_to?(sym)
end

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@ -520,7 +520,7 @@ module MiniTest
end
class Unit
VERSION = "2.0.1" # :nodoc:
VERSION = "2.0.2" # :nodoc:
attr_accessor :report, :failures, :errors, :skips # :nodoc:
attr_accessor :test_count, :assertion_count # :nodoc: