Comments (1)
Hi Jan,
Thanks for trying out rspec-benchmark
. 👍
Given the options, I believe this is
a configuration issue on my side
I can see that you're testing inside the Rails app from the error messages. Please note that all the examples in the readme are tested using Ruby without any frameworks. So I'd encourage you to set up the following file outside of the Rails context for your future explorations:
require "bundler/inline"
gemfile do
source "https://rubygems.org"
gem "rspec-benchmark"
end
RSpec.describe do
include RSpec::Benchmark::Matchers
...
end
The first test works as expected.
it "how many objects are left" do
expect { ["foo", "bar", "baz"].sort[1] }.to perform_allocation(3).and_retain(3)
end
So why is your expectation failing? My guess is that Rails autoloads and potentially monkey patches some behaviour resulting in more objects being created. For example, running Object.new.methods.size
in Ruby 2.7 irb session returns 58
. The same code run in Rails 7 bare-bones app console returns 87
.
The second test fails.
it "perform_constant" do
sizes = bench_range(8, 100_000) # => [8, 64, 512, 4096, 32768, 100000]
number_arrays = sizes.map { |n| Array.new(n) { rand(n) } }
expect { |n, i| number_arrays[i].max }.to perform_linear.in_range(8, 100_000).ratio(2)
end
However, this is a configuration issue. The expectation range generates more steps than the number_arrays
has elements, hence the error on nil
. When you generate number_arrays
you need to ensure that it matches the range you run the performance expectation with. Specifically, the bench_range(8, 100_000)
generates [8, 64, 512, 4096, 32768, 100000]
which uses ratio of 8
by default. However, the in_range(8, 100_00).ratio(2)
generates [8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384, 32768, 65536, 100000]
which uses ratio of 2
. So to fix the test, one way is to update bench_range
to use ratio: 2
as well and use generated sizes
to specify the expectation range.
The following test passes:
it "perform_constant" do
sizes = bench_range(8, 100_000, ratio: 2)
number_arrays = sizes.map { |n| Array.new(n) { rand(n) } }
expect { |n, i| number_arrays[i].max }.to perform_linear.in_range(sizes.first, sizes.last).ratio(2)
end
The benchark-trend has more explanation as to how the API works.
from rspec-benchmark.
Related Issues (12)
- marshal data too short HOT 15
- Database empty while timing block HOT 4
- FloatDomainError HOT 9
- Implement a `perform_allocation_under` matcher HOT 3
- LocalJumpError: no block given (yield) HOT 1
- Failure message appears to contradict itself HOT 2
- Compare performance to another operation HOT 9
- perform_under is run several times HOT 1
- Database content empty for second run HOT 6
- .and_sample(n) does't work as expected HOT 6
- EOF end of file reached HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from rspec-benchmark.