line_profiler /

from distutils.core import setup
from distutils.extension import Extension
from distutils.log import warn

    from Cython.Distutils import build_ext
    cmdclass = dict(build_ext=build_ext)
    line_profiler_source = '_line_profiler.pyx'
except ImportError, e:
    warn("Could not import Cython. Using pre-generated C file if available.")
    cmdclass = {}
    line_profiler_source = '_line_profiler.c'

long_description = """\
line_profiler will profile the time individual lines of code take to execute.
The profiler is implemented in C via Cython in order to reduce the overhead of

Also included is the script which can be used to conveniently
profile Python applications and scripts either with line_profiler or with the
function-level profiling tools in the Python standard library.

    name = 'line_profiler',
    version = '1.0b3',
    author = 'Robert Kern',
    author_email = '',
    description = 'Line-by-line profiler.',
    long_description = long_description,
    url = '',
    ext_modules = [ 
                  sources=[line_profiler_source, 'timers.c', 'unset_trace.c'],
    license = "BSD",
    classifiers = [
        "Development Status :: 4 - Beta",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: BSD License",
        "Operating System :: OS Independent",
        "Programming Language :: C",
        "Programming Language :: Python",
        "Topic :: Software Development",
    py_modules = ['line_profiler'],
    scripts = [''],
    cmdclass = cmdclass,
Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
Tip: Use ↑ and ↓ arrow keys to navigate and return to view the file.
Tip: You can also navigate files with Ctrl+j (next) and Ctrl+k (previous) and view the file with Ctrl+o.
Tip: You can also navigate files with Alt+j (next) and Alt+k (previous) and view the file with Alt+o.