ó \ K]c@sÀddlZddlZddlZddlZddlZddlZddlm Z ddlm Z ddl m Z d„Zd„Zde jfd „ƒYZed kr¼e jƒndS( iÿÿÿÿN(tjit(tunittest_supporti(t needs_blascCs=d}x0tt|ƒƒD]}|||||7}qW|S(Ni(trangetlen(tatbtsumti((s8lib/python2.7/site-packages/numba/tests/test_profiler.pytdotscCstj||ƒS(N(tnpR (RR((s8lib/python2.7/site-packages/numba/tests/test_profiler.pytnp_dotst TestProfilercBs)eZd„Zd„Zed„ƒZRS(c Csàtjddtjƒ}tjddtjƒ}tdtƒ|ƒ}|||ƒtjƒ}|jƒz|||ƒWd|jƒXt j |ƒj ƒ}|j }t jj|jƒ|j|jf}|j||jƒdS(sy Make sure the jit-compiled function shows up in the profile stats as a regular Python function. itdtypetnopythonN(R tarangetfloat32RtTruetprofilertProfiletenabletdisabletpstatstStatst strip_dirst__code__tostpathtbasenamet co_filenametco_firstlinenotco_nametassertIntstats( tselftpyfuncRRtcfunctpR!tcodet expected_key((s8lib/python2.7/site-packages/numba/tests/test_profiler.pytcheck_profiler_dots      cCs|jtƒdS(N(R(R (R"((s8lib/python2.7/site-packages/numba/tests/test_profiler.pyt test_profiler2scCs#d}tjtjd|gƒdS(NsÊif 1: import cProfile as profiler import numpy as np from numba import jit from numba.tests.test_profiler import np_dot cfunc = jit(nopython=True)(np_dot) a = np.arange(16, dtype=np.float32) b = np.arange(16, dtype=np.float32) p = profiler.Profile() p.enable() cfunc(a, b) cfunc(a, b) p.disable() s-c(t subprocesst check_calltsyst executable(R"R&((s8lib/python2.7/site-packages/numba/tests/test_profiler.pyttest_profiler_np_dot5s(t__name__t __module__R(R)RR.(((s8lib/python2.7/site-packages/numba/tests/test_profiler.pyR s  t__main__(tcProfileRRRR*R,tnumpyR tnumbaRRtunittestt test_linalgRR R tTestCaseR R/tmain(((s8lib/python2.7/site-packages/numba/tests/test_profiler.pyts        6