Numpy test()完成，但出现错误 [英] Numpy test() finished with errors

问题描述

我已经通过sudo apt-get install python-numpy安装了python 2.7.3，numpy 1.6.1.我通过numpy.test()从numpy运行test()，我得到了:

on ubuntu 12.04 x32 I have installed python 2.7.3, numpy 1.6.1 via sudo apt-get install python-numpy. I run the test() from numpy via numpy.test() and I get:

失败:test_pareto(test_random.TestRandomDist)

回溯(最近通话最近): 在test_pareto中的第313行，文件"/usr/lib/python2.7/dist-packages/numpy/random/tests/test_random.py" np.testing.assert_array_almost_equal(实际，期望，十进制= 15) 在assert_array_almost_equal中的文件"/usr/lib/python2.7/dist-packages/numpy/testing/utils.py"，第800行 header =('数组几乎不等于％d个小数'％个十进制)) 在assert_array_compare中的文件"/usr/lib/python2.7/dist-packages/numpy/testing/utils.py"，第636行 引发AssertionError(msg) AssertionError: 数组几乎不等于15个小数位

FAIL: test_pareto (test_random.TestRandomDist)

Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/numpy/random/tests/test_random.py", line 313, in test_pareto np.testing.assert_array_almost_equal(actual, desired, decimal=15) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 800, in assert_array_almost_equal header=('Arrays are not almost equal to %d decimals' % decimal)) File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 636, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not almost equal to 15 decimals

(不匹配16.6666666667％) x:数组([[2.46852460e + 03，1.41286881e + 03]， [5.28287797e + 07，6.57720981e + 07]， [1.40840323e + 02，1.98390255e + 05]]) y:数组([[2.46852460e + 03，1.41286881e + 03]， [5.28287797e + 07，6.57720981e + 07]， [1.40840323e + 02，1.98390255e + 05]])

(mismatch 16.6666666667%) x: array([[ 2.46852460e+03, 1.41286881e+03], [ 5.28287797e+07, 6.57720981e+07], [ 1.40840323e+02, 1.98390255e+05]]) y: array([[ 2.46852460e+03, 1.41286881e+03], [ 5.28287797e+07, 6.57720981e+07], [ 1.40840323e+02, 1.98390255e+05]])

在17.483秒内运行了3169次测试

Ran 3169 tests in 17.483s

失败(KNOWNFAIL = 3，SKIP = 4，失败= 1)

FAILED (KNOWNFAIL=3, SKIP=4, failures=1)

我该怎么办?我错过了依赖吗?

What should I do? did I miss a dependency or so?

谢谢.

推荐答案

在尝试重做内容时，为将来的我提供的注意事项:

Notes for the future me, when trying to redo the stuff:

1. 使用numpy/scipy有一些先决条件:g++ gfortran blas atlas lapack.
2. 编译numpy/scipy源似乎更好，也很耗时.点安装即可做到这一点.

1. there are some prerequisites for working with numpy/scipy: g++ gfortran blas atlas lapack.
2. it seems to be better -- and time consuming -- to compile the numpy/scipy sources. pip install does this.

命令是:

sudo apt-get install g ++ gfortran liblapack-dev libopenblas-dev python-dev python-pip

sudo apt-get install g++ gfortran liblapack-dev libopenblas-dev python-dev python-pip

sudo pip安装鼻孔

sudo pip install nose

sudo pip install numpy

sudo pip install numpy

python -c"import numpy; numpy.test()"

python -c "import numpy; numpy.test()"

对于scipy库，以下工作有效:

For the scipy library the following worked:

sudo pip install scipy

sudo pip install scipy

python -c"import scipy; scipy.test()"

python -c "import scipy; scipy.test()"

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