Class: MiniTest::Unit::TestCase
- Includes:
- Assertions
- Defined in:
- lib/minitest/unit.rb,
lib/minitest/benchmark.rb
Overview
Subclass TestCase to create your own tests. Typically you’ll want a TestCase subclass per implementation class.
See MiniTest::Assertions
Direct Known Subclasses
Constant Summary collapse
- PASSTHROUGH_EXCEPTIONS =
[NoMemoryError, SignalException, Interrupt, SystemExit]
- SUPPORTS_INFO_SIGNAL =
:nodoc:
Constants included from Assertions
Assertions::UNDEFINED, Assertions::WINDOZE
Instance Attribute Summary collapse
-
#__name__ ⇒ Object
readonly
:nodoc:.
Class Method Summary collapse
-
.add_setup_hook(arg = nil, &block) ⇒ Object
Adds a block of code that will be executed before every TestCase is run.
-
.add_teardown_hook(arg = nil, &block) ⇒ Object
Adds a block of code that will be executed after every TestCase is run.
-
.bench_exp(min, max, base = 10) ⇒ Object
Returns a set of ranges stepped exponentially from
min
tomax
by powers ofbase
. -
.bench_linear(min, max, step = 10) ⇒ Object
Returns a set of ranges stepped linearly from
min
tomax
bystep
. -
.bench_range ⇒ Object
Specifies the ranges used for benchmarking for that class.
-
.benchmark_methods ⇒ Object
Returns the benchmark methods (methods that start with bench_) for that class.
-
.benchmark_suites ⇒ Object
Returns all test suites that have benchmark methods.
-
.current ⇒ Object
:nodoc:.
-
.i_suck_and_my_tests_are_order_dependent! ⇒ Object
Call this at the top of your tests when you absolutely positively need to have ordered tests.
-
.inherited(klass) ⇒ Object
:nodoc:.
-
.reset ⇒ Object
:nodoc:.
-
.reset_setup_teardown_hooks ⇒ Object
:nodoc:.
-
.setup_hooks ⇒ Object
:nodoc:.
-
.teardown_hooks ⇒ Object
:nodoc:.
-
.test_methods ⇒ Object
:nodoc:.
-
.test_order ⇒ Object
:nodoc:.
-
.test_suites ⇒ Object
:nodoc:.
Instance Method Summary collapse
-
#assert_performance(validation, &work) ⇒ Object
Runs the given
work
, gathering the times of each run. -
#assert_performance_constant(threshold = 0.99, &work) ⇒ Object
Runs the given
work
and asserts that the times gathered fit to match a constant rate (eg, linear slope == 0) within a giventhreshold
. -
#assert_performance_exponential(threshold = 0.99, &work) ⇒ Object
Runs the given
work
and asserts that the times gathered fit to match a exponential curve within a given errorthreshold
. -
#assert_performance_linear(threshold = 0.99, &work) ⇒ Object
Runs the given
work
and asserts that the times gathered fit to match a straight line within a given errorthreshold
. -
#assert_performance_power(threshold = 0.99, &work) ⇒ Object
Runs the given
work
and asserts that the times gathered curve fit to match a power curve within a given errorthreshold
. -
#fit_error(xys) ⇒ Object
Takes an array of x/y pairs and calculates the general R^2 value.
-
#fit_exponential(xs, ys) ⇒ Object
To fit a functional form: y = ae^(bx).
-
#fit_linear(xs, ys) ⇒ Object
Fits the functional form: a + bx.
-
#fit_power(xs, ys) ⇒ Object
To fit a functional form: y = ax^b.
-
#initialize(name) ⇒ TestCase
constructor
:nodoc:.
- #io ⇒ Object
- #io? ⇒ Boolean
-
#passed? ⇒ Boolean
Returns true if the test passed.
-
#run(runner) ⇒ Object
Runs the tests reporting the status to
runner
. -
#run_setup_hooks ⇒ Object
:nodoc:.
-
#run_teardown_hooks ⇒ Object
:nodoc:.
-
#setup ⇒ Object
Runs before every test.
-
#sigma(enum, &block) ⇒ Object
Enumerates over
enum
mappingblock
if given, returning the sum of the result. -
#teardown ⇒ Object
Runs after every test.
-
#validation_for_fit(msg, threshold) ⇒ Object
Returns a proc that calls the specified fit method and asserts that the error is within a tolerable threshold.
Methods included from Assertions
#_assertions, #_assertions=, #assert, #assert_block, #assert_empty, #assert_equal, #assert_in_delta, #assert_in_epsilon, #assert_includes, #assert_instance_of, #assert_kind_of, #assert_match, #assert_nil, #assert_operator, #assert_output, #assert_predicate, #assert_raises, #assert_respond_to, #assert_same, #assert_send, #assert_silent, #assert_throws, #capture_io, #diff, diff, diff=, #exception_details, #flunk, #message, #mu_pp, #mu_pp_for_diff, #pass, #refute, #refute_empty, #refute_equal, #refute_in_delta, #refute_in_epsilon, #refute_includes, #refute_instance_of, #refute_kind_of, #refute_match, #refute_nil, #refute_operator, #refute_predicate, #refute_respond_to, #refute_same, #skip
Constructor Details
#initialize(name) ⇒ TestCase
:nodoc:
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# File 'lib/minitest/unit.rb', line 982 def initialize name # :nodoc: @__name__ = name @__io__ = nil @passed = nil @@current = self end |
Instance Attribute Details
#__name__ ⇒ Object (readonly)
:nodoc:
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# File 'lib/minitest/unit.rb', line 936 def __name__ @__name__ end |
Class Method Details
.add_setup_hook(arg = nil, &block) ⇒ Object
Adds a block of code that will be executed before every TestCase is run. Equivalent to setup
, but usable multiple times and without re-opening any classes.
All of the setup hooks will run in order after the setup
method, if one is defined.
The argument can be any object that responds to #call or a block. That means that this call,
MiniTest::Unit::TestCase.add_setup_hook { puts "foo" }
… is equivalent to:
module MyTestSetup
def self.call
puts "foo"
end
end
MiniTest::Unit::TestCase.add_setup_hook MyTestSetup
The blocks passed to add_setup_hook
take an optional parameter that will be the TestCase instance that is executing the block.
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# File 'lib/minitest/unit.rb', line 1097 def self.add_setup_hook arg=nil, &block hook = arg || block @setup_hooks << hook end |
.add_teardown_hook(arg = nil, &block) ⇒ Object
Adds a block of code that will be executed after every TestCase is run. Equivalent to teardown
, but usable multiple times and without re-opening any classes.
All of the teardown hooks will run in reverse order after the teardown
method, if one is defined.
The argument can be any object that responds to #call or a block. That means that this call,
MiniTest::Unit::TestCase.add_teardown_hook { puts "foo" }
… is equivalent to:
module MyTestTeardown
def self.call
puts "foo"
end
end
MiniTest::Unit::TestCase.add_teardown_hook MyTestTeardown
The blocks passed to add_teardown_hook
take an optional parameter that will be the TestCase instance that is executing the block.
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# File 'lib/minitest/unit.rb', line 1146 def self.add_teardown_hook arg=nil, &block hook = arg || block @teardown_hooks << hook end |
.bench_exp(min, max, base = 10) ⇒ Object
Returns a set of ranges stepped exponentially from min
to max
by powers of base
. Eg:
bench_exp(2, 16, 2) # => [2, 4, 8, 16]
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# File 'lib/minitest/benchmark.rb', line 22 def self.bench_exp min, max, base = 10 min = (Math.log10(min) / Math.log10(base)).to_i max = (Math.log10(max) / Math.log10(base)).to_i (min..max).map { |m| base ** m }.to_a end |
.bench_linear(min, max, step = 10) ⇒ Object
Returns a set of ranges stepped linearly from min
to max
by step
. Eg:
bench_linear(20, 40, 10) # => [20, 30, 40]
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# File 'lib/minitest/benchmark.rb', line 35 def self.bench_linear min, max, step = 10 (min..max).step(step).to_a rescue LocalJumpError # 1.8.6 r = []; (min..max).step(step) { |n| r << n }; r end |
.bench_range ⇒ Object
Specifies the ranges used for benchmarking for that class. Defaults to exponential growth from 1 to 10k by powers of 10. Override if you need different ranges for your benchmarks.
See also: ::bench_exp and ::bench_linear.
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# File 'lib/minitest/benchmark.rb', line 63 def self.bench_range bench_exp 1, 10_000 end |
.benchmark_methods ⇒ Object
Returns the benchmark methods (methods that start with bench_) for that class.
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# File 'lib/minitest/benchmark.rb', line 45 def self.benchmark_methods # :nodoc: public_instance_methods(true).grep(/^bench_/).map { |m| m.to_s }.sort end |
.benchmark_suites ⇒ Object
Returns all test suites that have benchmark methods.
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# File 'lib/minitest/benchmark.rb', line 52 def self.benchmark_suites TestCase.test_suites.reject { |s| s.benchmark_methods.empty? } end |
.current ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 989 def self.current # :nodoc: @@current end |
.i_suck_and_my_tests_are_order_dependent! ⇒ Object
Call this at the top of your tests when you absolutely positively need to have ordered tests. In doing so, you’re admitting that you suck and your tests are weak.
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# File 'lib/minitest/unit.rb', line 1013 def self.i_suck_and_my_tests_are_order_dependent! class << self define_method :test_order do :alpha end end end |
.inherited(klass) ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1019 def self.inherited klass # :nodoc: @@test_suites[klass] = true klass.reset_setup_teardown_hooks super end |
.reset ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1002 def self.reset # :nodoc: @@test_suites = {} end |
.reset_setup_teardown_hooks ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1064 def self.reset_setup_teardown_hooks # :nodoc: @setup_hooks = [] @teardown_hooks = [] end |
.setup_hooks ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1102 def self.setup_hooks # :nodoc: if superclass.respond_to? :setup_hooks then superclass.setup_hooks else [] end + @setup_hooks end |
.teardown_hooks ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1151 def self.teardown_hooks # :nodoc: if superclass.respond_to? :teardown_hooks then superclass.teardown_hooks else [] end + @teardown_hooks end |
.test_methods ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1033 def self.test_methods # :nodoc: methods = public_instance_methods(true).grep(/^test/).map { |m| m.to_s } case self.test_order when :random then max = methods.size methods.sort.sort_by { rand max } when :alpha, :sorted then methods.sort else raise "Unknown test_order: #{self.test_order.inspect}" end end |
.test_order ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1025 def self.test_order # :nodoc: :random end |
.test_suites ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1029 def self.test_suites # :nodoc: @@test_suites.keys.sort_by { |ts| ts.name.to_s } end |
Instance Method Details
#assert_performance(validation, &work) ⇒ Object
Runs the given work
, gathering the times of each run. Range and times are then passed to a given validation
proc. Outputs the benchmark name and times in tab-separated format, making it easy to paste into a spreadsheet for graphing or further analysis.
Ranges are specified by ::bench_range.
Eg:
def bench_algorithm
validation = proc { |x, y| ... }
assert_performance validation do |n|
@obj.algorithm(n)
end
end
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# File 'lib/minitest/benchmark.rb', line 85 def assert_performance validation, &work range = self.class.bench_range io.print "#{__name__}" times = [] range.each do |x| GC.start t0 = Time.now instance_exec(x, &work) t = Time.now - t0 io.print "\t%9.6f" % t times << t end io.puts validation[range, times] end |
#assert_performance_constant(threshold = 0.99, &work) ⇒ Object
Runs the given work
and asserts that the times gathered fit to match a constant rate (eg, linear slope == 0) within a given threshold
. Note: because we’re testing for a slope of 0, R^2 is not a good determining factor for the fit, so the threshold is applied against the slope itself. As such, you probably want to tighten it from the default.
See www.graphpad.com/curvefit/goodness_of_fit.htm for more details.
Fit is calculated by #fit_linear.
Ranges are specified by ::bench_range.
Eg:
def bench_algorithm
assert_performance_constant 0.9999 do |n|
@obj.algorithm(n)
end
end
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# File 'lib/minitest/benchmark.rb', line 129 def assert_performance_constant threshold = 0.99, &work validation = proc do |range, times| a, b, rr = fit_linear range, times assert_in_delta 0, b, 1 - threshold [a, b, rr] end assert_performance validation, &work end |
#assert_performance_exponential(threshold = 0.99, &work) ⇒ Object
Runs the given work
and asserts that the times gathered fit to match a exponential curve within a given error threshold
.
Fit is calculated by #fit_exponential.
Ranges are specified by ::bench_range.
Eg:
def bench_algorithm
assert_performance_exponential 0.9999 do |n|
@obj.algorithm(n)
end
end
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# File 'lib/minitest/benchmark.rb', line 155 def assert_performance_exponential threshold = 0.99, &work assert_performance validation_for_fit(:exponential, threshold), &work end |
#assert_performance_linear(threshold = 0.99, &work) ⇒ Object
Runs the given work
and asserts that the times gathered fit to match a straight line within a given error threshold
.
Fit is calculated by #fit_linear.
Ranges are specified by ::bench_range.
Eg:
def bench_algorithm
assert_performance_linear 0.9999 do |n|
@obj.algorithm(n)
end
end
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# File 'lib/minitest/benchmark.rb', line 175 def assert_performance_linear threshold = 0.99, &work assert_performance validation_for_fit(:linear, threshold), &work end |
#assert_performance_power(threshold = 0.99, &work) ⇒ Object
Runs the given work
and asserts that the times gathered curve fit to match a power curve within a given error threshold
.
Fit is calculated by #fit_power.
Ranges are specified by ::bench_range.
Eg:
def bench_algorithm
assert_performance_power 0.9999 do |x|
@obj.algorithm
end
end
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# File 'lib/minitest/benchmark.rb', line 195 def assert_performance_power threshold = 0.99, &work assert_performance validation_for_fit(:power, threshold), &work end |
#fit_error(xys) ⇒ Object
Takes an array of x/y pairs and calculates the general R^2 value.
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# File 'lib/minitest/benchmark.rb', line 204 def fit_error xys = sigma(xys) { |x, y| y } / xys.size.to_f ss_tot = sigma(xys) { |x, y| (y - ) ** 2 } ss_err = sigma(xys) { |x, y| (yield(x) - y) ** 2 } 1 - (ss_err / ss_tot) end |
#fit_exponential(xs, ys) ⇒ Object
To fit a functional form: y = ae^(bx).
Takes x and y values and returns [a, b, r^2].
See: mathworld.wolfram.com/LeastSquaresFittingExponential.html
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# File 'lib/minitest/benchmark.rb', line 219 def fit_exponential xs, ys n = xs.size xys = xs.zip(ys) sxlny = sigma(xys) { |x,y| x * Math.log(y) } slny = sigma(xys) { |x,y| Math.log(y) } sx2 = sigma(xys) { |x,y| x * x } sx = sigma xs c = n * sx2 - sx ** 2 a = (slny * sx2 - sx * sxlny) / c b = ( n * sxlny - sx * slny ) / c return Math.exp(a), b, fit_error(xys) { |x| Math.exp(a + b * x) } end |
#fit_linear(xs, ys) ⇒ Object
Fits the functional form: a + bx.
Takes x and y values and returns [a, b, r^2].
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# File 'lib/minitest/benchmark.rb', line 241 def fit_linear xs, ys n = xs.size xys = xs.zip(ys) sx = sigma xs sy = sigma ys sx2 = sigma(xs) { |x| x ** 2 } sxy = sigma(xys) { |x,y| x * y } c = n * sx2 - sx**2 a = (sy * sx2 - sx * sxy) / c b = ( n * sxy - sx * sy ) / c return a, b, fit_error(xys) { |x| a + b * x } end |
#fit_power(xs, ys) ⇒ Object
To fit a functional form: y = ax^b.
Takes x and y values and returns [a, b, r^2].
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# File 'lib/minitest/benchmark.rb', line 263 def fit_power xs, ys n = xs.size xys = xs.zip(ys) slnxlny = sigma(xys) { |x, y| Math.log(x) * Math.log(y) } slnx = sigma(xs) { |x | Math.log(x) } slny = sigma(ys) { | y| Math.log(y) } slnx2 = sigma(xs) { |x | Math.log(x) ** 2 } b = (n * slnxlny - slnx * slny) / (n * slnx2 - slnx ** 2); a = (slny - b * slnx) / n return Math.exp(a), b, fit_error(xys) { |x| (Math.exp(a) * (x ** b)) } end |
#io ⇒ Object
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# File 'lib/minitest/unit.rb', line 993 def io @__io__ = true MiniTest::Unit.output end |
#io? ⇒ Boolean
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# File 'lib/minitest/unit.rb', line 998 def io? @__io__ end |
#passed? ⇒ Boolean
Returns true if the test passed.
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# File 'lib/minitest/unit.rb', line 1050 def passed? @passed end |
#run(runner) ⇒ Object
Runs the tests reporting the status to runner
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# File 'lib/minitest/unit.rb', line 946 def run runner trap "INFO" do time = runner.start_time ? Time.now - runner.start_time : 0 warn "%s#%s %.2fs" % [self.class, self.__name__, time] runner.status $stderr end if SUPPORTS_INFO_SIGNAL result = "" begin @passed = nil self.setup self.run_setup_hooks self.run_test self.__name__ result = "." unless io? @passed = true rescue *PASSTHROUGH_EXCEPTIONS raise rescue Exception => e @passed = false result = runner.puke self.class, self.__name__, e ensure begin self.run_teardown_hooks self.teardown rescue *PASSTHROUGH_EXCEPTIONS raise rescue Exception => e result = runner.puke self.class, self.__name__, e end trap 'INFO', 'DEFAULT' if SUPPORTS_INFO_SIGNAL end result end |
#run_setup_hooks ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1110 def run_setup_hooks # :nodoc: self.class.setup_hooks.each do |hook| if hook.respond_to?(:arity) && hook.arity == 1 hook.call(self) else hook.call end end end |
#run_teardown_hooks ⇒ Object
:nodoc:
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# File 'lib/minitest/unit.rb', line 1159 def run_teardown_hooks # :nodoc: self.class.teardown_hooks.reverse.each do |hook| if hook.respond_to?(:arity) && hook.arity == 1 hook.call(self) else hook.call end end end |
#setup ⇒ Object
Runs before every test. Use this to refactor test initialization.
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# File 'lib/minitest/unit.rb', line 1057 def setup; end |
#sigma(enum, &block) ⇒ Object
Enumerates over enum
mapping block
if given, returning the sum of the result. Eg:
sigma([1, 2, 3]) # => 1 + 2 + 3 => 7
sigma([1, 2, 3]) { |n| n ** 2 } # => 1 + 4 + 9 => 14
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# File 'lib/minitest/benchmark.rb', line 284 def sigma enum, &block enum = enum.map(&block) if block enum.inject { |sum, n| sum + n } end |
#teardown ⇒ Object
Runs after every test. Use this to refactor test cleanup.
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# File 'lib/minitest/unit.rb', line 1062 def teardown; end |
#validation_for_fit(msg, threshold) ⇒ Object
Returns a proc that calls the specified fit method and asserts that the error is within a tolerable threshold.
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# File 'lib/minitest/benchmark.rb', line 293 def validation_for_fit msg, threshold proc do |range, times| a, b, rr = send "fit_#{msg}", range, times assert_operator rr, :>=, threshold [a, b, rr] end end |