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Decoding ascii: TextDecoder vs Js 3
(version: 0)
Measure performance of ascii decoding for various string lengths.
Comparing performance of:
decodeNative vs decoderJs
Created:
4 years ago
by:
Guest
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Script Preparation code:
// needed to create bytes array var encoder = new TextEncoder(); // string length, multiple of 4 - vary to get different results var n = 192; var arr = new Uint16Array(n); for (let i = 0; i < n; ++i) { arr[i] = (Math.random() * 0x10000) | 0; } var decoder = new TextDecoder(); function decodeNative(arr) { return decoder.decode(arr); } function decoderJs(buffer) { var start = 0; var end = buffer.byteLength; if (end - start < 1) { return ""; } var str = ""; for (var i = start; i < end;) { var t = buffer[i++]; if (t <= 0x7F) { str += String.fromCharCode(t); } else if (t >= 0xC0 && t < 0xE0) { str += String.fromCharCode((t & 0x1F) << 6 | buffer[i++] & 0x3F); } else if (t >= 0xE0 && t < 0xF0) { str += String.fromCharCode((t & 0xF) << 12 | (buffer[i++] & 0x3F) << 6 | buffer[i++] & 0x3F); } else if (t >= 0xF0) { var t2 = ((t & 7) << 18 | (buffer[i++] & 0x3F) << 12 | (buffer[i++] & 0x3F) << 6 | buffer[i++] & 0x3F) - 0x10000; str += String.fromCharCode(0xD800 + (t2 >> 10)); str += String.fromCharCode(0xDC00 + (t2 & 0x3FF)); } } return str; }
Tests:
decodeNative
decodeNative(arr)
decoderJs
decoderJs(arr)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
decodeNative
decoderJs
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmarking setup and explore what's being tested, the options compared, pros and cons of each approach, and other considerations. **Benchmark Overview** The benchmark measures the performance of ASCII decoding using two different approaches: 1. `decodeNative(arr)`: Using the native `TextDecoder` API. 2. `decoderJs(buffer)`: Implementing a custom JavaScript decoder. **Options Compared** The benchmark compares the performance of these two approaches on a variety of string lengths, specifically multiple of 4 (e.g., 192, 384, 512). The goal is to determine which approach is faster for ASCII decoding. **Pros and Cons of Each Approach** 1. `decodeNative(arr)`: * Pros: + Native API, optimized for performance. + Less code to write and maintain. * Cons: + Limited control over decoding logic. 2. `decoderJs(buffer)`: * Pros: + More control over decoding logic. + Can be written in a specific language or paradigm (e.g., Rust). * Cons: + Requires more code to write and maintain. + May not be optimized for performance. **Library Used** The `TextDecoder` API is used, which is a part of the Web APIs specification. It's a standardized API for decoding binary data into text strings. **JavaScript Feature/Syntax** There are no specific JavaScript features or syntaxes being tested in this benchmark. However, it's worth noting that the custom decoder implementation uses JavaScript-specific techniques like string manipulation and bitwise operations. **Other Considerations** * The benchmark assumes a Windows 10 desktop environment with Chrome 96 as the browser. * The `TextEncoder` API is used to create a bytes array for testing. * The test cases use `Uint16Array` to simulate different string lengths. * The benchmark measures executions per second, which provides an estimate of performance. **Alternatives** If you want to explore alternative approaches, consider the following: 1. **Native C++ or Rust**: Write a native decoder in C++ or Rust for better performance. 2. **WebAssembly (WASM)**: Compile your custom decoder to WASM and run it in a browser. 3. **Custom JavaScript library**: Create a dedicated JavaScript library for decoding binary data. Keep in mind that each alternative approach has its own set of trade-offs, including increased complexity, performance overhead, or compatibility issues.
Related benchmarks:
TextDecoder 'ascii' vs String.fromCharCode
Decoding ascii: TextDecoder vs Js
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TextDecoder 'ascii' vs String.fromCharCodea
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