如何检查conda development是否安装了我的项目/软件包？ [英] How does one check if conda develop installed my project/packages?
问题描述
如何查看在开发模式下安装的软件包？
我尝试了 conda列表，但是没有。
我运行了 conda development。似乎已经安装了它：
I ran conda develop . and it seems it installed it:
(automl-meta-learning) brandomiranda~/automl-meta-learning/automl ❯ conda develop .
path exists, skipping /Users/brandomiranda/automl-meta-learning/automl
completed operation for: /Users/brandomiranda/automl-meta-learning/automl
但是，运行脚本时出现错误：
however, I get errors when I run my scripts:
(automl-meta-learning) brandomiranda~/automl-meta-learning/automl/automl/meta_optimizers ❯ python differentiable_SGD.py
Traceback (most recent call last):
File "differentiable_SGD.py", line 8, in <module>
from automl.utils.torch_utils import helloworld
ModuleNotFoundError: No module named 'automl.utils'
但是当我做conda列表时，我看不到任何我认识的东西：
but when I do conda list I don't see anything I recognize:
(automl-meta-learning) brandomiranda~/automl-meta-learning/automl/automl/meta_optimizers ❯ conda list
# packages in environment at /Users/brandomiranda/miniconda3/envs/automl-meta-learning:
#
# Name Version Build Channel
appnope 0.1.0 py37_0
asn1crypto 1.3.0 py37_0
astroid 2.3.3 py37_0
attrs 19.3.0 py_0
backcall 0.1.0 py37_0
beautifulsoup4 4.8.2 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
bzip2 1.0.8 h1de35cc_0
ca-certificates 2019.11.27 0
certifi 2019.11.28 py37_0
cffi 1.13.2 py37hb5b8e2f_0
chardet 3.0.4 py37_1003
conda 4.8.1 py37_0
conda-build 3.18.11 py37_0
conda-package-handling 1.6.0 py37h1de35cc_0
cryptography 2.8 py37ha12b0ac_0
cycler 0.10.0 py37_0
dbus 1.13.12 h90a0687_0
decorator 4.4.1 py_0
defusedxml 0.6.0 py_0
entrypoints 0.3 py37_0
expat 2.2.6 h0a44026_0
filelock 3.0.12 py_0
freetype 2.9.1 hb4e5f40_0
gettext 0.19.8.1 h15daf44_3
glib 2.63.1 hd977a24_0
glob2 0.7 py_0
icu 58.2 h4b95b61_1
idna 2.8 py37_0
importlib_metadata 1.3.0 py37_0
intel-openmp 2019.4 233
ipykernel 5.1.3 py37h39e3cac_1
ipython 7.11.1 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.1 py_0
isort 4.3.21 py37_0
jedi 0.15.2 py37_0
jinja2 2.10.3 py_0
jpeg 9b he5867d9_2
jsonschema 3.2.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.3.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.6.1 py37_0
kiwisolver 1.1.0 py37h0a44026_0
lazy-object-proxy 1.4.3 py37h1de35cc_0
libarchive 3.3.3 h786848e_5
libcxx 4.0.1 hcfea43d_1
libcxxabi 4.0.1 hcfea43d_1
libedit 3.1.20181209 hb402a30_0
libffi 3.2.1 h475c297_4
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
liblief 0.9.0 h2a1bed3_2
libpng 1.6.37 ha441bb4_0
libsodium 1.0.16 h3efe00b_0
libtiff 4.1.0 hcb84e12_0
libxml2 2.9.9 hf6e021a_1
lz4-c 1.8.1.2 h1de35cc_0
lzo 2.10 h362108e_2
markupsafe 1.1.1 py37h1de35cc_0
matplotlib 3.1.1 py37h54f8f79_0
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h1de35cc_0
mkl 2019.4 233
mkl-service 2.3.0 py37hfbe908c_0
mkl_fft 1.0.15 py37h5e564d8_0
mkl_random 1.1.0 py37ha771720_0
more-itertools 8.0.2 py_0
nbconvert 5.6.1 py37_0
nbformat 4.4.0 py37_0
ncurses 6.1 h0a44026_1
ninja 1.9.0 py37h04f5b5a_0
notebook 6.0.2 py37_0
numpy 1.18.1 py37h7241aed_0
numpy-base 1.18.1 py37h6575580_0
olefile 0.46 py37_0
openssl 1.1.1d h1de35cc_3
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
parso 0.5.2 py_0
pcre 8.43 h0a44026_0
pexpect 4.7.0 py37_0
pickleshare 0.7.5 py37_0
pillow 7.0.0 py37h4655f20_0
pip 19.3.1 py37_0
pkginfo 1.5.0.1 py37_0
prometheus_client 0.7.1 py_0
prompt_toolkit 2.0.10 py_0
psutil 5.6.7 py37h1de35cc_0
ptyprocess 0.6.0 py37_0
py-lief 0.9.0 py37h1413db1_2
pycosat 0.6.3 py37h1de35cc_0
pycparser 2.19 py37_0
pygments 2.5.2 py_0
pylint 2.4.4 py37_0
pyopenssl 19.1.0 py37_0
pyparsing 2.4.6 py_0
pyqt 5.9.2 py37h655552a_2
pyrsistent 0.15.6 py37h1de35cc_0
pysocks 1.7.1 py37_0
python 3.7.6 h359304d_2
python-dateutil 2.8.1 py_0
python-graphviz 0.13.2 pypi_0 pypi
python-libarchive-c 2.8 py37_13
pytorch 1.4.0 py3.7_0 pytorch
pytz 2019.3 py_0
pyyaml 5.2 py37h1de35cc_0
pyzmq 18.1.0 py37h0a44026_0
qt 5.9.7 h468cd18_1
qtconsole 4.6.0 py_1
readline 7.0 h1de35cc_5
requests 2.22.0 py37_1
ripgrep 11.0.2 he32d670_0
ruamel_yaml 0.15.87 py37h1de35cc_0
send2trash 1.5.0 py37_0
setuptools 44.0.0 py37_0
sip 4.19.8 py37h0a44026_0
six 1.13.0 py37_0
soupsieve 1.9.5 py37_0
sqlite 3.30.1 ha441bb4_0
terminado 0.8.3 py37_0
testpath 0.4.4 py_0
tk 8.6.8 ha441bb4_0
torchvision 0.5.0 py37_cpu pytorch
torchviz 0.0.1 pypi_0 pypi
tornado 6.0.3 py37h1de35cc_0
tqdm 4.41.1 py_0
traitlets 4.3.3 py37_0
urllib3 1.25.7 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
wheel 0.33.6 py37_0
widgetsnbextension 3.5.1 py37_0
wrapt 1.11.2 py37h1de35cc_0
xz 5.2.4 h1de35cc_4
yaml 0.1.7 hc338f04_2
zeromq 4.3.1 h0a44026_3
zipp 0.6.0 py_0
zlib 1.2.11 h1de35cc_3
zstd 1.3.7 h5bba6e5_0
任何人都知道什么
请注意我的脚本可以正常工作吗？或者至少我在开发模式下安装的软件包会显示在哪里？现在，在使用 conda development -u。安装和卸载之后，但我仍然不知道如何显示是否已安装处于开发模式的软件包/项目。
Note that my scripts work now after installing and uninstalling using conda develop -u . but I still don't know how to display if the packages/projects in development mode are installed or not.
推荐答案
如果您在运行 conda development。（其中 setup.py 文件是），您会注意到该命令输出以下内容：
If you look carefully after running conda develop . (where the setup.py file is) you will notice that the command outputs the following:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop .
added /Users/brandBrandoParetoopareto/ultimate-utils/uutils
completed operation for: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
如果您随后检查 sys.path python，则可以添加新路径：
if you then check the sys.path python has then you can that new path has been added:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ python
Python 3.7.7 (default, Mar 26 2020, 10:32:53)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> for p in sys.path:
... print(p)
...
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python37.zip
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/lib-dynload
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/site-packages
/Users/brandBrandoParetoopareto/automl-meta-learning/automl
/Users/brandBrandoParetoopareto/higher
/Users/brandBrandoParetoopareto/ultimate-utils/uutils
您可以通过删除并打印<$的内容来确认c $ c> sys.path ：
you can confirm this by removing it and printing the contents of sys.path:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop -u .
uninstalled: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
再次检查系统路径：
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ python
Python 3.7.7 (default, Mar 26 2020, 10:32:53)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> for p in sys.path:
... print(p)
...
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python37.zip
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/lib-dynload
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/site-packages
/Users/brandBrandoParetoopareto/automl-meta-learning/automl
/Users/brandBrandoParetoopareto/higher
现在它消失了！
另外，请注意conda或python（不是确定哪个）还会始终添加当前路径。需要特别注意的是，当我在回购之外进行导入测试时，我当时无法正常工作，但它位于回购内部，这似乎非常神秘，我只能将其归因于此。
Also, note that conda or python (not sure which) also adds the current path always. This is important to note because when I did import tests outside of the repo I was working it wasn't working but it was inside the repo which seemed very mysterious which I can only attribute to that.
检查来自终端的python sys.path使用python cmd作为字符串运行该命令：
to check python sys.path from terminal run that command as a string with python cmd:
python -c "import sys; print(sys.path)"
甚至更好：
python -c "import sys; [print(p) for p in sys.path]"
如果需要别名：
alias pypath='python -c "import sys; [print(p) for p in sys.path]"'
将其放入您的 .zshrc 中。
老实说，我知道的唯一方法就是尝试再次安装。通常已经说过了：
Honestly the only way I know is to just try to install it again. It usually says its there already:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop .
path exists, skipping /Users/brandBrandoParetoopareto/ultimate-utils/uutils
completed operation for: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
如果它已经说过，但您的脚本仍然不起作用，只需尝试安装和卸载：
if it says it's there already but your scripts still don't work just try installing and uninstalling:
conda develop -u .
输出应该是这样的：
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop -u .
uninstalled: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
然后再次尝试安装它以开发/开发/开发人员模式：
then again try to install it in develop/developing/developer mode:
conda develop .
输出看起来像这样：
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop -u .
uninstalled: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
其中。可以替换为项目根目录的路径（对我来说，这是setup.py所在的位置）。
where . can be substituted to a path to the root of your project (for me it's where setup.py is at).
注意：
另一项测试是尝试将其卸载两次。第二次它应该抱怨：
An additional test is to try to uninstall it twice. The second time it should complain:
(importtest) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop -u .
uninstalled: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
(importtest) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop -u .
conda.pth does not contain path: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
package not installed via conda develop
Fyi：如何在pip可编辑模式下卸载：如何使用pip卸载可编辑软件包（与-e一起安装）
这篇关于如何检查conda development是否安装了我的项目/软件包？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
