Problem 303. Convert Hard Drive marketing sizes to actual data sizes

Created by Alan Chalker

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Hard drive sizes are typically marketed using the decimal meaning of prefixes, whereas RAM uses binary meanings. For example:

A 10 GB hard drive (common only a few years ago) typically has 10,000,000,000 bytes 10 GB of RAM though is equal to 10,737,418,240 bytes

More information about this can be found here.

The problem is to take 2 inputs based upon decimal prefixes (a number representing size and a string representing the units) and output the equivalent size using binary prefixes, as seen below:

[100], 'MB' -> [95.4]
[100], 'GB' -> [93.1]

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Last Solution submitted on Jul 08, 2019

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3 Comments

3 Comments

@bmtran (Bryant Tran) on 10 Feb 2012

could you provide some sort of indication as to the precision of said number?

Gunther S on 14 Feb 2012

please fix the errors in the solution check, or at least use consistent precision :/

David Verrelli on 25 Dec 2017

My calculation suggests test 3 should have an answer of approximately 465.661, which is tricky to round to 465.5. (Not impossible, but not obvious/intuitive, and not consistent with answers specified for the other tests.) . . . Why was it like this? My guess is that all three answers were adapted directly from the three rows in the contemporary WP article linked to in the problem statement ( https://en.wikipedia.org/w/index.php?title=Hard_disk_drive&oldid=476051941#Units_of_storage_capacity ), to wit: * 100MB = first row; * 10GB = one tenth of second row; * 500GB = half of last row. This yields the peculiar rounding found in the Test Suite.

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Solution 119671

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Jean-Marie Sainthillier on 27 Jul 2012

Sorry but I don't understand your rounding results.

Solution 36013

1 Comment

1 Comment

@bmtran (Bryant Tran) on 10 Feb 2012

I would consider this to be the best solution, though it fails the test cases (only because of the precision of the test suite answers).

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Problem 303. Convert Hard Drive marketing sizes to actual data sizes

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Problem 303. Convert Hard Drive marketing sizes to actual data sizes

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