我正在尝试在我的 Ubuntu 20.10 计算机上安装turbodbc。
我的规格如下： pip 20.2.4、Python 3.8.5、gcc (Ubuntu 10.2.0-13ubuntu1) 10.2.0
我收到此错误消息
----------------------------------------
ERROR: Failed building wheel for turbodbc
Running setup.py clean for turbodbc
Failed to build turbodbc
Installing collected packages: turbodbc
Running setup.py install for turbodbc ... error
ERROR: Command errored out with exit status 1:
Complete output (50 lines):
running install
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.8
creating build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/__init__.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/exceptions.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/connect.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/options.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/cursor.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/api_constants.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/data_types.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/constructors.py -> build/lib.linux-x86_64-3.8/turbodbc
copying turbodbc/connection.py -> build/lib.linux-x86_64-3.8/turbodbc
running egg_info
writing turbodbc.egg-info/PKG-INFO
writing dependency_links to turbodbc.egg-info/dependency_links.txt
writing requirements to turbodbc.egg-info/requires.txt
writing top-level names to turbodbc.egg-info/top_level.txt
reading manifest file 'turbodbc.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
writing manifest file 'turbodbc.egg-info/SOURCES.txt'
running build_ext
building 'libturbodbc' extension
creating build/temp.linux-x86_64-3.8
creating build/temp.linux-x86_64-3.8/src
creating build/temp.linux-x86_64-3.8/src/cpp_odbc
creating build/temp.linux-x86_64-3.8/src/cpp_odbc/level2
creating build/temp.linux-x86_64-3.8/src/cpp_odbc/level1
creating build/temp.linux-x86_64-3.8/src/cpp_odbc/level3
creating build/temp.linux-x86_64-3.8/src/turbodbc
creating build/temp.linux-x86_64-3.8/src/turbodbc/field_translators
creating build/temp.linux-x86_64-3.8/src/turbodbc/result_sets
creating build/temp.linux-x86_64-3.8/src/turbodbc/descriptions
creating build/temp.linux-x86_64-3.8/src/turbodbc/parameter_sets
3.8/src/cpp_odbc/level2/level1_connector.o --std=c++11
src/cpp_odbc/level2/level1_connector.cpp:17:10: fatal error: boost/locale.hpp: No such file or directory
17 | #include <boost/locale.hpp>
| ^~~~~~~~~~~~~~~~~~
compilation terminated.
error: command 'gcc' failed with exit status 1
我的系统上有 gcc，当我在终端中使用 gcc 命令时，它可以工作。我不知道该怎么做才能解决这个问题。
我的点子列表如下，如果这可以帮助任何人
Package Version
---------------------------------- -------------------
alabaster 0.7.12
anaconda-client 1.7.2
anaconda-navigator 1.10.0
anaconda-project 0.8.3
argh 0.26.2
argon2-cffi 20.1.0
asn1crypto 1.4.0
astroid 2.4.2
astropy 4.0.2
async-generator 1.10
atomicwrites 1.4.0
attrs 20.3.0
autopep8 1.5.4
azure-core 1.9.0
azure-storage-blob 12.5.0
Babel 2.8.1
backcall 0.2.0
backports.functools-lru-cache 1.6.1
backports.shutil-get-terminal-size 1.0.0
backports.tempfile 1.0
backports.weakref 1.0.post1
beautifulsoup4 4.9.3
bitarray 1.6.1
bkcharts 0.2
bleach 3.2.1
bokeh 2.2.3
boto 2.49.0
boto3 1.16.10
botocore 1.19.44
Bottleneck 1.3.2
brotlipy 0.7.0
cachetools 4.2.0
cachey 0.2.1
cairocffi 1.2.0
CairoSVG 2.5.0
certifi 2020.6.20
cffi 1.14.4
chardet 3.0.4
click 7.1.2
cloudpickle 1.6.0
clyent 1.2.2
colorama 0.4.4
conda 4.9.2
conda-build 3.20.5
conda-package-handling 1.7.2
conda-verify 3.4.2
contextlib2 0.6.0.post1
convertdate 2.2.0
cryptography 3.1.1
cssselect2 0.4.1
cycler 0.10.0
Cython 0.29.21
cytoolz 0.11.0
dask 2.30.0
decorator 4.4.2
defusedxml 0.6.0
diff-match-patch 20200713
dill 0.3.3
distributed 2.30.1
docutils 0.16
entrypoints 0.3
et-xmlfile 1.0.1
fastcache 1.1.0
filelock 3.0.12
flake8 3.8.4
Flask 1.1.2
Flask-Cors 3.0.10
Flask-SQLAlchemy 2.4.4
flatbuffers 1.12
fsspec 0.8.4
future 0.18.2
gast 0.3.3
gcsfs 0.6.2
gensim 3.8.3
gevent 20.9.0
glob2 0.7
gmpy2 2.0.8
google-api-core 1.24.1
google-auth 1.24.0
google-auth-oauthlib 0.4.2
google-cloud-core 1.5.0
google-cloud-storage 1.35.0
google-crc32c 1.1.0
google-pasta 0.2.0
google-resumable-media 1.2.0
googleapis-common-protos 1.52.0
greenlet 0.4.17
grpcio 1.32.0
h5py 2.10.0
hdbscan 0.8.26
HeapDict 1.0.1
holidays 0.10.4
html5lib 1.1
hub 1.0.8
idna 2.10
imageio 2.9.0
imagesize 1.2.0
importlib-metadata 2.0.0
iniconfig 1.1.1
intervaltree 3.1.0
ipykernel 5.4.2
ipython 7.19.0
ipython-genutils 0.2.0
ipywidgets 7.6.2
isodate 0.6.0
isort 5.6.4
itsdangerous 1.1.0
jdcal 1.4.1
jedi 0.18.0
jeepney 0.5.0
Jinja2 2.11.2
jmespath 0.10.0
joblib 1.0.0
json5 0.9.5
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.7
jupyter-console 6.2.0
jupyter-core 4.7.0
jupyterlab 2.2.6
jupyterlab-pygments 0.1.2
jupyterlab-server 1.2.0
jupyterlab-widgets 1.0.0
Keras-Preprocessing 1.1.2
keyring 21.4.0
kiwisolver 1.3.1
kneed 0.7.0
korean-lunar-calendar 0.2.1
lazy-object-proxy 1.4.3
libarchive-c 2.9
littleutils 0.2.2
llvmlite 0.34.0
lmdb 1.0.0
locket 0.2.0
lxml 4.6.1
lz4 3.1.1
Markdown 3.3.3
MarkupSafe 1.1.1
matplotlib 3.3.3
mccabe 0.6.1
mistune 0.8.4
mkl-fft 1.2.0
mkl-random 1.1.1
mkl-service 2.3.0
mock 4.0.2
more-itertools 8.6.0
mpmath 1.1.0
msgpack 1.0.0
msrest 0.6.19
multipledispatch 0.6.0
multiprocess 0.70.11.1
navigator-updater 0.2.1
nbclient 0.5.1
nbconvert 6.0.7
nbformat 5.0.8
nest-asyncio 1.4.3
networkx 2.5
nltk 3.5
nose 1.3.7
notebook 6.1.6
numba 0.51.2
numcodecs 0.7.2
numexpr 2.7.1
numpy 1.19.4
numpydoc 1.1.0
olefile 0.46
openpyxl 3.0.5
opt-einsum 3.3.0
outdated 0.2.0
packaging 20.8
pandas 1.2.0
pandocfilters 1.4.3
parso 0.8.1
partd 1.1.0
path 15.0.0
pathlib2 2.3.5
pathos 0.2.7
pathtools 0.1.2
patsy 0.5.1
pep8 1.7.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.0.1
pip 20.2.4
pkginfo 1.6.1
plotly 4.14.1
pluggy 0.13.1
ply 3.11
pox 0.2.9
ppft 1.6.6.3
prometheus-client 0.9.0
prompt-toolkit 3.0.8
psutil 5.8.0
ptyprocess 0.7.0
py 1.9.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pybind11 2.6.1
pycodestyle 2.6.0
pycosat 0.6.3
pycparser 2.20
pycurl 7.43.0.6
pydocstyle 5.1.1
pyflakes 2.2.0
Pygments 2.7.3
pylint 2.6.0
PyMeeus 0.3.7
pyodbc 4.0.30
pyOpenSSL 19.1.0
pyparsing 2.4.7
Pyphen 0.10.0
pyrsistent 0.17.3
PySocks 1.7.1
pytest 0.0.0
python-dateutil 2.8.1
python-jsonrpc-server 0.4.0
python-language-server 0.35.1
pytz 2019.3
PyWavelets 1.1.1
pyxdg 0.27
PyYAML 5.3.1
pyzmq 20.0.0
QDarkStyle 2.8.1
QtAwesome 1.0.1
qtconsole 5.0.1
QtPy 1.9.0
regex 2020.11.13
requests 2.24.0
requests-oauthlib 1.3.0
retrying 1.3.3
rope 0.18.0
rsa 4.6
Rtree 0.9.4
ruamel-yaml 0.15.87
s3fs 0.4.2
s3transfer 0.3.3
scikit-image 0.18.1
scikit-learn 0.24.0
scipy 1.5.4
seaborn 0.11.1
SecretStorage 3.1.2
Send2Trash 1.5.0
setuptools 50.3.1.post20201107
simplegeneric 0.8.1
singledispatch 3.4.0.3
sip 4.19.13
six 1.15.0
sklearn 0.0
smart-open 4.1.0
snowballstemmer 2.0.0
sortedcollections 1.2.1
sortedcontainers 2.2.2
soupsieve 2.0.1
Sphinx 3.2.1
sphinxcontrib-applehelp 1.0.2
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 1.0.3
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.4
sphinxcontrib-websupport 1.2.4
spyder 4.1.5
spyder-kernels 1.9.4
SQLAlchemy 1.3.22
SQLAlchemy-serializer 1.3.4.4
statsmodels 0.12.0
sympy 1.6.2
tables 3.6.1
tblib 1.7.0
tensorboard 2.4.0
tensorboard-plugin-wit 1.7.0
tensorflow 2.4.0
tensorflow-estimator 2.4.0
tensorflow-hub 0.10.0
termcolor 1.1.0
terminado 0.9.1
testpath 0.4.4
textblob 0.15.3
threadpoolctl 2.1.0
tifffile 2020.12.8
tinycss2 1.1.0
toml 0.10.2
toolz 0.11.1
tornado 6.1
tqdm 4.51.0
traitlets 5.0.5
typing-extensions 3.7.4.3
ujson 4.0.1
unicodecsv 0.14.1
urllib3 1.25.11
waitress 1.4.4
watchdog 0.10.3
wcwidth 0.2.5
WeasyPrint 52.2
webencodings 0.5.1
Werkzeug 1.0.1
wheel 0.36.2
widgetsnbextension 3.5.1
wrapt 1.12.1
wurlitzer 2.0.1
xlrd 1.2.0
XlsxWriter 1.3.7
xlwt 1.3.0
xmltodict 0.12.0
yapf 0.30.0
zarr 2.5.0
zict 2.0.0
zipp 3.4.0
zope.event 4.5.0
zope.interface 5.1.2
未安装Boost。 你可以试试这个
sudo apt-get install libboost-locale-dev
或者安装所有 boost 库
sudo apt-get install libboost-all-dev
我看到你正在使用 anaconda 环境。
您可以使用
conda请按照以下命令操作
conda install -c conda-forge turbodbc