Fixed readme stating performance is over 1000x worse than it is
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@ -91,7 +91,9 @@ round(sqrt(2)^4)! liters
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cpc Uses 128-bit Decimal Floating Point (d128) numbers instead of Binary Coded Decimals for better accuracy. The result cpc gives will still not always be 100% accurate. I would recommend rounding the result to 20 decimals or less.
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cpc Uses 128-bit Decimal Floating Point (d128) numbers instead of Binary Coded Decimals for better accuracy. The result cpc gives will still not always be 100% accurate. I would recommend rounding the result to 20 decimals or less.
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## Performance
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## Performance
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In my case, I can expect `eval()` to take 100-200ms, and this scales pretty alright. However, putting numbers with a lot of digits into functions result in pretty poor performance. `log(e)` is one of the worst, and takes 500ms for me.
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It's pretty fast and scales well. In my case, `eval()` usually runs under 0.1ms. The biggest performance hit is functions like `log()`. `log(12345)` evaluates in 0.12ms, and `log(e)` in 0.24ms.
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To see how fast it is, you can pass the `--debug` flag in CLI, or the `debug` argument to `eval()`.
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## Errors
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## Errors
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cpc returns `Result`s with basic strings as errors. Just to be safe, you may want to handle panics (You can do that using `std::panic::catch_unwind`).
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cpc returns `Result`s with basic strings as errors. Just to be safe, you may want to handle panics (You can do that using `std::panic::catch_unwind`).
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