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2、 从文件compiler.py读取内容编译 # compiler.pywithopen('source.py')asf: source = f.read() executable =compile(source,'source.py','exec') 涉及文件操作在后面再介绍,这里说明一下,source字符串变量的值是从文件compiler.py中读取的,编译实际上是编译的读取内容,而第二个参数文件名只是说明这些代码串...
c=compile(s,'<string>','exec') # compiler.py with open('source.py') as f: source = f.read() executable = compile(source, 'source.py', 'exec') source字符串变量的值是从文件compiler.py中读取的,而第二个参数文件名只是说明这些代码串是来源于 source.py,仅在代码有错时报告错误信息中展示...
PyPI, Docs) The Pure Python Compiler Infrastructure is a compiler written entirely in Python, containing front-ends for various programming languages (C, c3, WebAssembly, and others) as well as machine code generation backends for various CPUs (6500, arm, avr, x86_64, openrisc, among others)...
Compiler Transcrypt - Python实现的JS编译器 Pyodide - 编译成WebAssembly的Python科学堆栈库 Data Related Voluptuous - Python实现的数据验证库 Botflow - Python实现的用于数据Pipline的数据驱动编程框架 Fast-Pandas - 针对不同的dataframe大小,为pandas的数据操作设置不同的操作基准 ...
compiler.compile(source, filename, mode, flags=None, dont_inherit=None) 将字符串源(一个Python模块,语句或表达式)编译成可由exec语句或.exe执行的代码对象eval()。该功能是内置功能的替代品compile()。 该文件名将用于运行时错误消息。 该模式必须是“EXEC”编译一个模块,“单”编译一个单一(交互式)语句或...
An instrumented version of the interpreter is built, using suitable compiler flags for each flavor. Note that this is just an intermediary step. The binary resulting from this step is not good for real-life workloads as it has profiling instructions embedded inside. ...
CMake is an open-source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the...
PyPI, Docs) The Pure Python Compiler Infrastructure is a compiler written entirely in Python, containing front-ends for various programming languages (C, c3, WebAssembly, and others) as well as machine code generation backends for various CPUs (6500, arm, avr, x86_64, openrisc, among others)...
“Anaconda is very supportive of NVIDIA’s effort to provide a unified and comprehensive set of interfaces to the CUDA host APIs from Python. We look forward to adopting this package in Numba's CUDA Python compiler to reduce our maintenance burden and improve interoperability within the CUDA Pyth...