Replaced http with https whenever such link exists. (apatniv)
[git-p4: depot-paths = "//src/minitest/dev/": change = 13320]
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@ -2,7 +2,7 @@
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home :: https://github.com/seattlerb/minitest
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bugs :: https://github.com/seattlerb/minitest/issues
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rdoc :: http://docs.seattlerb.org/minitest
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rdoc :: https://docs.seattlerb.org/minitest
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vim :: https://github.com/sunaku/vim-ruby-minitest
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emacs:: https://github.com/arthurnn/minitest-emacs
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@ -186,7 +186,7 @@ Output is tab-delimited to make it easy to paste into a spreadsheet.
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=== Mocks
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Mocks and stubs defined using terminology by Fowler & Meszaros at
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http://www.martinfowler.com/bliki/TestDouble.html:
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https://www.martinfowler.com/bliki/TestDouble.html:
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"Mocks are pre-programmed with expectations which form a specification
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of the calls they are expected to receive. They can throw an exception
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@ -237,7 +237,7 @@ an example of asserting that code inside a thread is run:
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=== Stubs
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Mocks and stubs are defined using terminology by Fowler & Meszaros at
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http://www.martinfowler.com/bliki/TestDouble.html:
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https://www.martinfowler.com/bliki/TestDouble.html:
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"Stubs provide canned answers to calls made during the test".
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@ -751,7 +751,7 @@ Authors... Please send me a pull request with a description of your minitest ext
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== Minitest related goods
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* minitest/pride fabric: http://www.spoonflower.com/fabric/3928730-again-by-katie_allen
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* minitest/pride fabric: https://www.spoonflower.com/fabric/3928730-again-by-katie_allen
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== REQUIREMENTS:
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@ -217,7 +217,7 @@ module Minitest
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##
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# Takes an array of x/y pairs and calculates the general R^2 value.
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#
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# See: http://en.wikipedia.org/wiki/Coefficient_of_determination
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# See: https://en.wikipedia.org/wiki/Coefficient_of_determination
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def fit_error xys
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y_bar = sigma(xys) { |_, y| y } / xys.size.to_f
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@ -232,7 +232,7 @@ module Minitest
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#
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# Takes x and y values and returns [a, b, r^2].
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#
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# See: http://mathworld.wolfram.com/LeastSquaresFittingExponential.html
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# See: https://mathworld.wolfram.com/LeastSquaresFittingExponential.html
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def fit_exponential xs, ys
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n = xs.size
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@ -254,7 +254,7 @@ module Minitest
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#
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# Takes x and y values and returns [a, b, r^2].
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#
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# See: http://mathworld.wolfram.com/LeastSquaresFittingLogarithmic.html
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# See: https://mathworld.wolfram.com/LeastSquaresFittingLogarithmic.html
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def fit_logarithmic xs, ys
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n = xs.size
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@ -276,7 +276,7 @@ module Minitest
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#
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# Takes x and y values and returns [a, b, r^2].
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#
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# See: http://mathworld.wolfram.com/LeastSquaresFitting.html
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# See: https://mathworld.wolfram.com/LeastSquaresFitting.html
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def fit_linear xs, ys
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n = xs.size
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@ -298,7 +298,7 @@ module Minitest
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#
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# Takes x and y values and returns [a, b, r^2].
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#
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# See: http://mathworld.wolfram.com/LeastSquaresFittingPowerLaw.html
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# See: https://mathworld.wolfram.com/LeastSquaresFittingPowerLaw.html
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def fit_power xs, ys
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n = xs.size
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@ -48,7 +48,7 @@ module Minitest
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def initialize io # :nodoc:
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@io = io
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# stolen from /System/Library/Perl/5.10.0/Term/ANSIColor.pm
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# also reference http://en.wikipedia.org/wiki/ANSI_escape_code
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# also reference https://en.wikipedia.org/wiki/ANSI_escape_code
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@colors ||= (31..36).to_a
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@size = @colors.size
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@index = 0
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@ -66,7 +66,7 @@ module Kernel
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#
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# For some suggestions on how to improve your specs, try:
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#
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# http://betterspecs.org
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# https://betterspecs.org
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#
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# but do note that several items there are debatable or specific to
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# rspec.
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@ -804,7 +804,7 @@ class TestMinitestAssertions < Minitest::Test
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# *sigh* This is quite an odd scenario, but it is from real (albeit
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# ugly) test code in ruby-core:
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# http://svn.ruby-lang.org/cgi-bin/viewvc.cgi?view=rev&revision=29259
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# https://svn.ruby-lang.org/cgi-bin/viewvc.cgi?view=rev&revision=29259
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def test_assert_raises_skip
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@assertion_count = 0
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@ -3,7 +3,7 @@ require "minitest/benchmark"
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##
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# Used to verify data:
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# http://www.wolframalpha.com/examples/RegressionAnalysis.html
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# https://www.wolframalpha.com/examples/RegressionAnalysis.html
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class TestMinitestBenchmark < Minitest::Test
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def test_cls_bench_exp
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@ -110,7 +110,7 @@ class TestMinitestBenchmark < Minitest::Test
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assert_fit :power, x, y, 0.90, 2.6217, 1.4556
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# income to % of households below income amount
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# http://library.wolfram.com/infocenter/Conferences/6461/PowerLaws.nb
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# https://library.wolfram.com/infocenter/Conferences/6461/PowerLaws.nb
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x = [15_000, 25_000, 35_000, 50_000, 75_000, 100_000]
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y = [0.154, 0.283, 0.402, 0.55, 0.733, 0.843]
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