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This is a list of the instructions that make up the Java bytecode, an abstract machine language that is ultimately executed by the Java virtual machine. [1] The Java bytecode is generated from languages running on the Java Platform, most notably the Java programming language.
The DWARF file format uses both unsigned and signed LEB128 encoding for various fields. [2] LLVM, in its Coverage Mapping Format [8] LLVM's implementation of LEB128 encoding and decoding is useful alongside the pseudocode above. [9].NET supports a "7-bit encoded int" format in the BinaryReader and BinaryWriter classes. [10]
Base64 encoding can be helpful when fairly lengthy identifying information is used in an HTTP environment. For example, a database persistence framework for Java objects might use Base64 encoding to encode a relatively large unique id (generally 128-bit UUIDs) into a string for use as an HTTP parameter in HTTP forms or HTTP GET URLs. Also, many ...
Java bytecode is used at runtime either interpreted by a JVM or compiled to machine code via just-in-time (JIT) compilation and run as a native application. As Java bytecode is designed for a cross-platform compatibility and security, a Java bytecode application tends to run consistently across various hardware and software configurations. [3]
JSFuck - Write any JavaScript with 6 Characters: []()!+ – web application for encoding JavaScript to JSFuck; JavaScript code of the aforementioned converter; JScrewIt - Another tool to convert JavaScript to JSFuck, with environment-specific optimizations; Esolang - The esoteric programming languages wiki
Jazelle RCT (Runtime Compilation Target) is a different technology based on ThumbEE mode; it supports ahead-of-time (AOT) and just-in-time (JIT) compilation with Java and other execution environments. The most prominent use of Jazelle DBX is by manufacturers of mobile phones to increase the execution speed of Java ME games and applications.
The runtime overhead of added instrumentation is small (5–20%) and the bytecode instrumentor itself is very fast (mostly limited by file I/O speed). Memory overhead is a few hundred bytes per Java class. EMMA is 100% pure Java, has no external library dependencies, and works in any Java 2 JVM (even 1.2.x).
This is notably done for Google Protocol Buffers, and is known as a zigzag encoding for signed integers. [13] One can encode the numbers so that encoded 0 corresponds to 0, 1 to −1, 10 to 1, 11 to −2, 100 to 2, etc.: counting up alternates between nonnegative (starting at 0) and negative (since each step changes the least-significant bit ...