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编译代码
1、code───n.代码，密码；编码；法典；vt.编码；制成法典；n.(Code)人名；(英、法、西)科德；vi.指定遗传密码
2、compiled versus interpreted───编译与解释
3、compiled vs interpreted───编译与解释
4、compiled language───编译语言程序；[计]编译语言
5、compiled───v.编辑（compile的过去分词）；adj.编译的
6、referenced by top-level compiled c/c++ code───由DingJi编译的c/c++代码引用
7、compiled program───编成程序
8、compiled python───编译的python
9、compiled meaning───编译意义
1、Supposed to allow you to run the compiled code in an appdomain that you choose.───应该允许在选择的appdomain中运行已编译的代码。
2、However, a JVM using OSR is smart enough to replace the current code with the newer compiled code in the middle of the method call.───但是，使用OSR的JVM非常机智，可以把方法调用中的当前代码替换为新的编译代码。
3、You can use Ildasm. Exe to examine the MSIL for the compiled code example, to see how the offsets and lengths are calculated.───可以使用Ildasm.exe检查用于已编译的代码示例的MSIL，以便了解如何计算偏移量和长度。
4、this case the compiled code and bytecodes are part of the 16mb.───已编译代码和字节码是这16 MB的一部分。
5、It also holds activation frames for JIT compiled code (with a twist).───它掌握所有JIT编译后代码的活动帧。
6、The AOT-compiled code is the equivalent to the native code the JIT compiler would generate if it used a fixed optimisation level.───如果JIT使用了一种固定的优化级别，那么AOT编译的代码就等同于JIT编译器生成的本地代码。
7、Furthermore, due to a novel approach to bytecode verification, we're also able to ensure runtime type safety of the compiled code.───此外，由于采用了新的方式对字节码进行校验，我们还能确保编译的代码在运行时的类型安全。
8、So how can I link the statically compiled code to the generated class?───那么如何将静态编译的代码链接到生成的类呢？
9、A class-preloading loop like the one shown in Listing 2 is all that's required to ensure you get the full benefits of the AOT-compiled code.───类似于清单2中所示的类预加载循环已足够确保您充分获取提前编译代码的优势。
1、The script consists of the ByteLoader preamble, with the compiled code stored as a byte string.
2、The real name is the actual file name containing the compiled code for the library.
3、In such a system, it is much better to link against the compiled code instead of the actual source code.
4、Depending on the compilation time and how much faster the compiled code is than the interpreted code, small changes in the number of iterations can result in big differences in measured performance.