我创建了一个新的conda环境
user@machine:~/project$ conda create -n test-env -c numba python=3.5.2 llvmdev=3.8
Fetching package metadata ...........
Solving package specifications: .
Package plan for installation in environment /home/user/anaconda2/envs/test-env:
The following NEW packages will be INSTALLED:
我冻结了我们开发的软件AltAnalyze ()的GitHub发行版。UMAP-learn包依赖于numba和llvmlite,它们从源代码运行得很好,但是,当使用py2app构建分发版本时,UMAP会失败,并显示以下错误:
File "umap/__init__.pyc", line 1, in <module>
File "umap/umap_.pyc", line 19, in <module>
File "numba/__init__.pyc", line 11, in <module>
File
我的Dockerfile使用pypy基础时失败,错误为FileNotFoundError: Errno 2没有这样的文件或目录:'llvm-config‘当安装llvmlite时,llvmlite是我的requirements.txt中列出的numba的一个依赖项
我尝试遵循并更新这里的说明
更详细地说我的错误:
Building wheels for collected packages: llvmlite
Building wheel for llvmlite (setup.py): started
Building wheel for llvmlite (setup.py): f
考虑以下函数,用于计算对3n+1问题的给定输入的步骤数:
def num_steps(b, steps):
e = b
d = 0
while True:
if e == 1:
d += steps[e]
return d
if e % 2 == 0:
e //= 2
else:
e = 3*e + 1
d += 1
在这里,steps的存在是为了允许对结果进行回忆录,但为了这个问题,我们只是注意到,只要step
我正在尝试在我的Windows10中安装llvmlite,所以我正在按照中的步骤操作。
You must have Visual Studio 2013 or later (the free “Express” edition is ok) in order to compile LLVM and llvmlite.
In addition, you must have cmake installed, and LLVM should have been built using cmake, in Release mode. Be
careful to use the right bitnes
我正在尝试导入numba。我使用这里的说明()安装了llvmlite和numba,但是在导入numba时,我得到了以下错误。
Traceback (most recent call last):
File "kayhan.py", line 6, in <module>
from numba import *
File "/usr/local/lib/python3.4/dist-packages/numba/__init__.py", line 7, in <module>
from . import testi
试图通过运行llvmlite通过pip安装
pip install llvmlite
经常给我这个错误:
RuntimeError: <path> failed executing, please point LLVM_CONFIG to the path for llvm-config
error: command '/Users/sfalk/miniconda3/envs/asr-service/bin/python' failed with exit status 1
----------------------------------
此代码失败:
import numpy as np
from numba import jit
import scipy.special as sp
@jit(nopython=True)
def f(a):
return sp.xlogy(a, a)
a = np.array([1,2,0,1], dtype=float)
f(a)
它给出了以下错误
TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Unknown attribute 'xlogy' of type
Ubuntu 20.04.2我在一个virtualenv中使用python2.7 (因为我试图构建的程序不能在我的3.8上运行) pip 20.3.4 我正在尝试运行的程序(包括tensorflow)附带了一个文件,其中包含安装所需的所有内容(我想这是dockerfile?)。当我尝试运行这个程序时,我得到一个关于dockerfile中的一个项目的错误-- resampy。 我得到了一个ImportError:No module resampy 我做了一个pip install resampy DEPRECATION: Python 2.7 reached the end of its li
这是numba的一个基本示例
import numpy as np
from numba import double
from numba.decorators import jit, autojit
X = np.random.random((1000, 3))
def pairwise_python(X):
M = X.shape[0]
N = X.shape[1]
D = np.empty((M, M), dtype=np.float)
for i in range(M):
for j in range(M):
我想处理Numba中的日期时间值数组。我试过一个小小的例子,但我无法让它发挥作用。
import numba as nb
from numba import guvectorize
@guvectorize('void(nb.types.NPDatetime("ns")[:],nb.types.NPDatetime("ns")[:])',
'(m)->(m)')
def ts_copy(ts, ts_c):
for idx, t in np.ndenumerate(ts):
我已经使用以下命令在python3中安装了模块librosa,但当我尝试导入此模块时,它显示以下警告
Warning (from warnings module):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/librosa/util/decorators.py", line 9
from numba.decorators import jit as optional_jit
NumbaDeprecationWarning: An import