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>>> def loop():
...     total = 0
...     while 1:
...         total += 1
... 
>>> import dis
>>> dis.dis(loop)
  3           0 LOAD_CONST               1 (0)
              3 STORE_FAST               0 (total)

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.tox/
/MANIFEST

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# see http://conference.scipy.org/proceedings/SciPy2009/paper_2/
import threading
cimport cython

import numpy as np
cimport numpy as np

ctypedef np.float64_t dtype_t

def matmul(A, B, out=None):

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*.o

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In [1]: import numpy as np

In [2]: a = np.r_[.1:4:40j]

In [3]: a
Out[3]: 
array([ 0.1,  0.2,  0.3,  0.4,  0.5,  0.6,  0.7,  0.8,  0.9,  1. ,  1.1,
        1.2,  1.3,  1.4,  1.5,  1.6,  1.7,  1.8,  1.9,  2. ,  2.1,  2.2,
        2.3,  2.4,  2.5,  2.6,  2.7,  2.8,  2.9,  3. ,  3.1,  3.2,  3.3,
        3.4,  3.5,  3.6,  3.7,  3.8,  3.9,  4. ])

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#!/usr/bin/env python
"""
Cython-compatible wrapper for doctest.testmod().

Usage example, assuming a Cython module mymod.pyx is compiled.
This is run from the command line, passing a command to Python:
python -c "import cydoctest, mymod; cydoctest.testmod(mymod)"

(This still won't let a Cython module run its own doctests
when called with "python mymod.py", but it's pretty close.

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#!/usr/bin/env python
import pycuda.gpuarray as gpuarray
import pycuda.autoinit

from pycuda.elementwise import ElementwiseKernel

# define elementwise `add()` function
add = ElementwiseKernel(
        "float *a, float *b, float *c",
        "c[i] = a[i] + b[i]",

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/build/
*.so
*.cpp
/cachegrind.out.profilestats
/profilestats.prof
/build1darray.s

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#!/bin/sh
#
# Get all posts from del.icio.us
# See http://www.delicious.com/help/api
#
USER=$1
OUT=posts-${USER}.xml

[ -z "$USER" ] && echo "USAGE: $0 USERNAME" && exit 2

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#
/cachegrind.out.profilestats
/profilestats.prof