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File: //usr/lib/ruby/gems/3.2.0/gems/rbs-2.8.2/stdlib/minitest/0/minitest/bench_spec.rbs
# <!-- rdoc-file=lib/minitest/benchmark.rb -->
# The spec version of Minitest::Benchmark.
#
class Minitest::BenchSpec < ::Minitest::Benchmark
  # <!--
  #   rdoc-file=lib/minitest/benchmark.rb
  #   - bench(name, &block)
  # -->
  # 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: (untyped name) ?{ () -> untyped } -> untyped

  # <!--
  #   rdoc-file=lib/minitest/benchmark.rb
  #   - bench_range(&block)
  # -->
  # Specifies the ranges used for benchmarking for that class.
  #
  #     bench_range do
  #       bench_exp(2, 16, 2)
  #     end
  #
  # See Minitest::Benchmark#bench_range for more details.
  #
  def self.bench_range: () ?{ () -> untyped } -> untyped

  # <!--
  #   rdoc-file=lib/minitest/benchmark.rb
  #   - bench_performance_linear(name, threshold = 0.99, &work)
  # -->
  # Create a benchmark that verifies that the performance is linear.
  #
  #     describe "my class Bench" do
  #       bench_performance_linear "fast_algorithm", 0.9999 do |n|
  #         @obj.fast_algorithm(n)
  #       end
  #     end
  #
  def self.bench_performance_linear: (untyped name, ?::Float threshold) ?{ () -> untyped } -> untyped

  # <!--
  #   rdoc-file=lib/minitest/benchmark.rb
  #   - bench_performance_constant(name, threshold = 0.99, &work)
  # -->
  # Create a benchmark that verifies that the performance is constant.
  #
  #     describe "my class Bench" do
  #       bench_performance_constant "zoom_algorithm!" do |n|
  #         @obj.zoom_algorithm!(n)
  #       end
  #     end
  #
  def self.bench_performance_constant: (untyped name, ?::Float threshold) ?{ () -> untyped } -> untyped

  # <!--
  #   rdoc-file=lib/minitest/benchmark.rb
  #   - bench_performance_exponential(name, threshold = 0.99, &work)
  # -->
  # Create a benchmark that verifies that the performance is exponential.
  #
  #     describe "my class Bench" do
  #       bench_performance_exponential "algorithm" do |n|
  #         @obj.algorithm(n)
  #       end
  #     end
  #
  def self.bench_performance_exponential: (untyped name, ?::Float threshold) ?{ () -> untyped } -> untyped

  # <!--
  #   rdoc-file=lib/minitest/benchmark.rb
  #   - bench_performance_logarithmic(name, threshold = 0.99, &work)
  # -->
  # Create a benchmark that verifies that the performance is logarithmic.
  #
  #     describe "my class Bench" do
  #       bench_performance_logarithmic "algorithm" do |n|
  #         @obj.algorithm(n)
  #       end
  #     end
  #
  def self.bench_performance_logarithmic: (untyped name, ?::Float threshold) ?{ () -> untyped } -> untyped

  # <!--
  #   rdoc-file=lib/minitest/benchmark.rb
  #   - bench_performance_power(name, threshold = 0.99, &work)
  # -->
  # Create a benchmark that verifies that the performance is power.
  #
  #     describe "my class Bench" do
  #       bench_performance_power "algorithm" do |n|
  #         @obj.algorithm(n)
  #       end
  #     end
  #
  def self.bench_performance_power: (untyped name, ?::Float threshold) ?{ () -> untyped } -> untyped
  include Minitest::Spec::DSL::InstanceMethods
  extend Minitest::Spec::DSL
end