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load a byte or Boolean value from an array bastore 54 0101 0100 arrayref, index, value → store a byte or Boolean value into an array bipush 10 0001 0000 1: byte → value push a byte onto the stack as an integer value: breakpoint ca 1100 1010 reserved for breakpoints in Java debuggers; should not appear in any class file caload 34 0011 0100
Java bytecode is the instruction set of the Java virtual machine (JVM), the language to which Java and other JVM-compatible source code is compiled. [1] Each instruction is represented by a single byte , hence the name bytecode , making it a compact form of data .
Unlike arrays (which are covariant in Java [2]), different instantiations of a generic type are not compatible with each other, not even explicitly. [2] For example, the declarations Generic<Supertype> superGeneric; Generic<Subtype> subGeneric; will cause the compiler to report conversion errors for both castings (Generic<Subtype>)superGeneric and (Generic<Supertype>)subGeneric.
A class file contains Java Virtual Machine instructions (Java byte code) and a symbol table, as well as other ancillary information. The class file format is the hardware- and operating system-independent binary format used to represent compiled classes and interfaces. [7]
Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible. It is a general-purpose programming language intended to let programmers write once, run anywhere (), [16] meaning that compiled Java code can run on all platforms that support Java without the need to recompile. [17]
In software design, the Java Native Interface (JNI) is a foreign function interface programming framework that enables Java code running in a Java virtual machine (JVM) to call and be called by [1] native applications (programs specific to a hardware and operating system platform) and libraries written in other languages such as C, C++ and assembly.
Some compiled languages such as Ada and Fortran, and some scripting languages such as IDL, MATLAB, and S-Lang, have native support for vectorized operations on arrays. For example, to perform an element by element sum of two arrays, a and b to produce a third c, it is only necessary to write c = a + b
Matrix multiplication is an example of a 2-rank function, because it operates on 2-dimensional objects (matrices). Collapse operators reduce the dimensionality of an input data array by one or more dimensions. For example, summing over elements collapses the input array by 1 dimension.