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Perfect square using binary search #2351

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Merged
merged 3 commits into from
Aug 25, 2020
Merged

Perfect square using binary search #2351

merged 3 commits into from
Aug 25, 2020

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ihebu
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@ihebu ihebu commented Aug 25, 2020

Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms have a URL in its comments that points to Wikipedia or other similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

>>> perfect_square_binary_search(0)
True
>>> perfect_square_binary_search(10)
False
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tests for -1, 1.1, "a", None, []?

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should I first add input validation inside the function, or should I just include those tests ?

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@cclauss cclauss Aug 25, 2020

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Write the tests first and see how your function deals with unexpected input. The trick is to not write validation code if you don't have to. If your function is already going to raise an IndexError, TypeError, ValueError, etc. then you have no work to do. Just look for cases where your code would silently fail or would deliver nonsense results.

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Got it.Thank you so much !
Things should be good now.

@cclauss cclauss merged commit 2c0127d into TheAlgorithms:master Aug 25, 2020
stokhos pushed a commit to stokhos/Python that referenced this pull request Jan 3, 2021
* Add perfect_square_binary_search

* Update tests

* Add tests
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4 participants