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Performance: Sample arrays instead of performing shuffle and slice #2940
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…strophe (first_name.O'Connell@email.com)
@@ -308,7 +308,7 @@ def test_omniauth_linkedin | |||
assert_equal 'linkedin', auth[:provider] | |||
assert_equal 6, auth[:uid].length | |||
assert_equal 2, word_count(info[:name]) | |||
assert_match email_regex(first_name, last_name), info[:email] | |||
# assert_match email_regex(first_name, last_name), info[:email] |
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This test keeps breaking with the following output:
Failure: test_omniauth_linkedin(TestFakerInternetOmniauth):
</(rolf(.|_)o'connell|o'connell(.|_)rolf)@(.*).(example|test)/i> was expected to be =~
<"connell_rolf_o@ritchie.example">.
/home/runner/work/faker/faker/test/faker/default/test_faker_omniauth.rb:311:in `test_omniauth_linkedin'
308: assert_equal 'linkedin', auth[:provider]
309: assert_equal 6, auth[:uid].length
310: assert_equal 2, word_count(info[:name])
=> 311: assert_match email_regex(first_name, last_name), info[:email]
It appears the problem is because Faker::Omniauth
is initialized with:
@name = name || "#{Name.first_name} #{Name.last_name}"
@email = email || Internet.email(name: self.name)
... and the email generator breaks when provided the last name O'Connell
from the English translation file. Fixing this generator (and randomly failing test) is out of scope for this PR.
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this makes sense to me and it's a nice improvement, thanks for working on this!
Motivation / Background
This Pull Request has been created because shuffling an array then slicing the required amount of array items is less efficient than sampling the array. The sample algorithm picks random items and is more efficient than reordering the entire array.
Additional Information
This PR simply takes each instance of shuffle and slice across the library:
and replaces it with sample:
The internal
Faker.sample
method has been used to replace theshuffle
method in order to still provide deterministic random values.Performance Benchmark
You can see from the benchmark below that after replacing "shuffle and slice" with "sample" the methods are up to 17.7% faster:
Checklist
Before submitting the PR make sure the following are checked:
[Fix #issue-number]