iPad

I can't realize how android devices are able to be sold having iPad is in the market.

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Regular expressions: Rust vs F# vs Scala

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Let's implement the following task: read first 10M lines from a text file of the following format: then find all lines containing Microsoft namespace in them, and format the type names the usual way, like "Microsoft.Win32.IAssemblyEnum". First, F#: Now Rust: After several launches the file was cached by the OS and both implementations became non IO-bound. F# one took 29 seconds and 31MB of RAM at peak; Rust - 11 seconds and 18MB. The Rust code is as twice as long as F# one, but it's handling all possible errors explicitly - no surprises at runtime at all. The F# code may throw some exceptions (who knows what kind of them? Nobody). It's possible to wrap all calls to .NET framework with `Choice.attempt (fun _ -> ...)`, then define custom Error types for regex related code, for IO one and a top-level one, and the code'd be even longer then Rust's, hard to read and it would still give no guarantee that we catch all possible exceptions. Up...
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Hash maps: Rust, F#, D, Go, Scala

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Let's compare performance of hashmap implementation in Rust, .NET, D (LDC) and Go. Rust: F#: As you can see, Rust is slower at about 17% on insersions and at about 21% on lookups. Update As @GolDDranks suggested on Twitter , since Rust 1.7 it's possible to use custom hashers in HashMap. Let's try it: Yes, it's significantly faster: additions is only 5% slower than .NET implementation, and lookups are 32% *faster*! Great. Update: D added LDC x64 on windows It's very slow at insertions and quite fast on lookups. Update: Go added Update: Scala added Compared to Scala all the other languages looks equally fast :) What's worse, Scala loaded all four CPU cores at almost 100% during the test, while others used roughly single core. My guess is that JVM allocated so many objects (each Int is an object, BTW), that 3/4 of CPU time was spend for garbage collecting. However, I'm a Scala/JVM noob, so I just could write the whole b...
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Computing cryptography hashes: Rust, F#, D and Scala

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Let's compare how fast Rust, D and F# (.NET actually) at computing cryptography hashes, namely MD5, SHA1, SHA256 and SHA512. We're going to use rust-crypto cargo : Results: MD5 - 3.39s  SHA1 - 2.89s  SHA256 - 6.97s SHA512 - 4.47s Now the F# code: Results (.NET 4.5, VS 2013, F# 3.1): MD5CryptoServiceProvider - 2.32s (32% faster) SHA1CryptoServiceProvider - 2.92s (1% slower) SHA256Managed - 16.50s (236% slower) SHA256CryptoServiceProvider - 11.50s (164% slower) SHA256Cng - 11.71s (168% slower) SHA512Managed - 61.04s (1365% slower) SHA512CryptoServiceProvider - 21.88s (489% slower) SHA512Cng - 22.19s (496% slower) (.NET 4.6, VS 2015, F# 4.0): MD5CryptoServiceProvider elapled 2.55 SHA1CryptoServiceProvider elapled 2.89 SHA256Managed elapled 17.01 SHA256CryptoServiceProvider elapled 8.74 SHA256Cng elapled 8.75 SHA512Managed elapled 23.42 SHA512CryptoServiceProvider 5.81 SHA512Cng elapled 5.79 D: DMD MD5 - 16.05s (470% ...
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