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Fix: Corrected test. List in test must be ordered. #2632

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merged 2 commits into from Oct 7, 2020

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@NumberPiOso
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@NumberPiOso NumberPiOso commented Oct 2, 2020

What the title says.

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.
  • [ X 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}.
@dhruvmanila
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@dhruvmanila dhruvmanila commented Oct 2, 2020

Awesome! Thanks for pointing this out. Can you add a few more random tests by using range and different step values? Maybe we can use sorted(random.choices(range(-n, +n), k=100)) to select 100 pseudo-random numbers from a list of 1000 numbers ranging from negative to positive.

@poyea poyea self-assigned this Oct 2, 2020
@NumberPiOso
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@NumberPiOso NumberPiOso commented Oct 4, 2020

@poyea are you working in this one? or should I propose the next commit ?

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@poyea poyea commented Oct 4, 2020

You may consider adding the test cases suggested. I'll review it once you've done.

@NumberPiOso
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@NumberPiOso NumberPiOso commented Oct 5, 2020

@dhruvmanila could you please elaborate a little more that idea?
In particular, how do I know in advance if the number is in the list.

>>> n = 500
>>> print(binary_search(sorted(random.choices(range(-n, +n), k=100)), 100))
>>> ?
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@dhruvmanila dhruvmanila commented Oct 5, 2020

Ah, did not see that. Sorry about that. A better option would be to just use random(range(-100, 100, <step_value>)) or something like that. Put whichever step value you think would be good enough.

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@dhruvmanila dhruvmanila left a comment

Looks good! Thank you for your contribution!

@dhruvmanila dhruvmanila merged commit 40db8c2 into TheAlgorithms:master Oct 7, 2020
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@NumberPiOso NumberPiOso deleted the NumberPiOso:simp_binary branch Oct 7, 2020
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