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The Notorious Precision Pitfalls of PHP Float Calculations
When handling numerical data, precision is paramount. However, PHP's float datatype can be notoriously tricky, leading to unexpected inaccuracies in calculations.
Consider the following PHP snippet:
<code class="php">$fooValue = 100.68; $cowValue = 100.67; $diffValue = $fooValue - $cowValue; if($diffValue <= 0.01) { echo("success"); } else { echo("error"); }</code>
To our astonishment, this code prints "error" instead of the expected "success."
The Cause: Float Inaccuracy
The culprit is the inherent inaccuracy of float datatypes. When converting to and from binary, precision may be lost. Therefore, comparing float values for exact equality can be unreliable.
Solutions for Precision Calculations
To resolve this issue, consider the following approaches:
Additional Tips:
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