我在2个环境中安装了Miniconda：基本和 gis 。 gis 中的软件包是从 coda-forge 安装的。我有两个问题：
Q1）只希望从 conda-forge 更新 gis 环境中的所有软件包。我使用的命令正确吗？
Q2）为什么要降级numpy-base？它正在更新其他软件包，并且当 conda-forge 仍具有numpy-base 1.15.3的多个较新版本时，为什么要对其进行降级？
（gis）[arnuld @ arch64〜] $ conda更新--all -c conda-forge
解决环境：完成包装计划
环境位置：/home/arnuld/.local/miniconda/envs/gis
将下载以下软件包：
package | build ---------------------------|----------------- matplotlib-3.0.1 | h8a2030e_1 6 KB conda-forge openblas-0.3.3 | ha44fe06_1 13.7 MB conda-forge libopenblas-0.2.20 | h9ac9557_7 8.8 MB numpy-base-1.14.3 | py36h0ea5e3f_1 4.1 MB blas-1.1 | openblas 1 KB conda-forge krb5-1.16.2 | hbb41f41_0 1.4 MB conda-forge scipy-1.1.0 |py36_blas_openblashb06ca3d_202 39.8 MB conda-forge mkl_random-1.0.2 | py36_0 1.3 MB conda-forge numpy-1.15.3 |py36_blas_openblashb06ca3d_0 9.4 MB conda-forge matplotlib-base-3.0.1 | py36hc039c98_1 9.2 MB conda-forge ------------------------------------------------------------ Total: 87.6 MB将安装以下新软件包：
libopenblas: 0.2.20-h9ac9557_7 matplotlib-base: 3.0.1-py36hc039c98_1 conda-forge openblas: 0.3.3-ha44fe06_1 conda-forge以下软件包将被更新：
blas: 1.0-mkl --> 1.1-openblas conda-forge krb5: 1.16.1-hbb41f41_0 conda-forge --> 1.16.2-hbb41f41_0 conda-forge matplotlib: 2.2.3-py36h8e2386c_0 conda-forge --> 3.0.1-h8a2030e_1 conda-forge mkl_random: 1.0.1-py36_0 conda-forge --> 1.0.2-py36_0 conda-forge numpy: 1.15.0-py36h1b885b7_0 --> 1.15.3-py36_blas_openblashb06ca3d_0 conda-forge [blas_openblas] scipy: 1.1.0-py36hc49cb51_0 --> 1.1.0-py36_blas_openblashb06ca3d_202 conda-forge [blas_openblas]以下软件包将被降级：
numpy-base: 1.15.0-py36h3dfced4_0 --> 1.14.3-py36h0ea5e3f_1是否继续（[y] / n）？ n
[arnuld@arch64 ~]$ conda list -n gis
# packages in environment at /home/arnuld/.local/miniconda/envs/gis:
#
# Name Version Build Channel
attrs 18.2.0 py_0 conda-forge
backcall 0.1.0 py_0 conda-forge
blas 1.0 mkl
bleach 3.0.2 py_0 conda-forge
boost-cpp 1.67.0 h3a22d5f_0 conda-forge
bzip2 1.0.6 h470a237_2 conda-forge
ca-certificates 2018.10.15 ha4d7672_0 conda-forge
cairo 1.14.12 he6fea26_5 conda-forge
certifi 2018.10.15 py36_1000 conda-forge
click 7.0 py_0 conda-forge
click-plugins 1.0.4 py_0 conda-forge
cligj 0.5.0 py_0 conda-forge
curl 7.62.0 h74213dd_0 conda-forge
cycler 0.10.0 py_1 conda-forge
dbus 1.13.0 h3a4f0e9_0 conda-forge
decorator 4.3.0 py_0 conda-forge
descartes 1.1.0 py_2 conda-forge
entrypoints 0.2.3 py36_1002 conda-forge
expat 2.2.5 hfc679d8_2 conda-forge
fiona 1.8.0 py36hfc77a4a_0 conda-forge
fontconfig 2.13.1 h65d0f4c_0 conda-forge
freetype 2.9.1 h6debe1e_4 conda-forge
freexl 1.0.5 h470a237_2 conda-forge
gdal 2.3.2 py36hb00a9d7_0 conda-forge
geopandas 0.4.0 py_1 conda-forge
geos 3.6.2 hfc679d8_3 conda-forge
geotiff 1.4.2 h700e5ad_5 conda-forge
gettext 0.19.8.1 h5e8e0c9_1 conda-forge
giflib 5.1.4 h470a237_1 conda-forge
glib 2.55.0 h464dc38_2 conda-forge
gmp 6.1.2 hfc679d8_0 conda-forge
gst-plugins-base 1.12.5 hde13a9d_0 conda-forge
gstreamer 1.12.5 h61a6719_0 conda-forge
hdf4 4.2.13 h951d187_2 conda-forge
hdf5 1.10.3 hc401514_2 conda-forge
icu 58.2 hfc679d8_0 conda-forge
intel-openmp 2019.0 118
ipykernel 5.1.0 pyh24bf2e0_0 conda-forge
ipython 7.1.1 py36h24bf2e0_1000 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
jedi 0.13.1 py36_1000 conda-forge
jinja2 2.10 py_1 conda-forge
jpeg 9c h470a237_1 conda-forge
json-c 0.12.1 h470a237_1 conda-forge
jsonschema 3.0.0a3 py36_1000 conda-forge
jupyter_client 5.2.3 py_1 conda-forge
jupyter_core 4.4.0 py_0 conda-forge
kealib 1.4.10 hb88cf67_0 conda-forge
kiwisolver 1.0.1 py36h2d50403_2 conda-forge
krb5 1.16.1 hbb41f41_0 conda-forge
libcurl 7.62.0 hbdb9355_0 conda-forge
libdap4 3.19.1 h8fe5423_1 conda-forge
libedit 3.1.20170329 haf1bffa_1 conda-forge
libffi 3.2.1 hfc679d8_5 conda-forge
libgcc-ng 7.2.0 hdf63c60_3 conda-forge
libgdal 2.3.2 hc73897a_0 conda-forge
libgfortran 3.0.0 1 conda-forge
libgfortran-ng 7.2.0 hdf63c60_3 conda-forge
libiconv 1.15 h470a237_3 conda-forge
libkml 1.3.0 hccc92b1_8 conda-forge
libnetcdf 4.6.1 h9cd6fdc_11 conda-forge
libpng 1.6.35 ha92aebf_2 conda-forge
libpq 10.5 he29860b_0 conda-forge
libsodium 1.0.16 h470a237_1 conda-forge
libspatialindex 1.8.5 hfc679d8_3 conda-forge
libspatialite 4.3.0a hdfcc80b_23 conda-forge
libssh2 1.8.0 h5b517e9_2 conda-forge
libstdcxx-ng 7.2.0 hdf63c60_3 conda-forge
libtiff 4.0.9 he6b73bb_2 conda-forge
libuuid 2.32.1 h470a237_2 conda-forge
libxcb 1.13 h470a237_2 conda-forge
libxml2 2.9.8 h422b904_5 conda-forge
markupsafe 1.0 py36h470a237_1 conda-forge
matplotlib 2.2.3 py36h8e2386c_0 conda-forge
mistune 0.8.4 py36h470a237_0 conda-forge
mkl 2019.0 118
mkl_fft 1.0.6 py36_0 conda-forge
mkl_random 1.0.1 py36_0 conda-forge
munch 2.3.2 py_0 conda-forge
nbconvert 5.3.1 py_1 conda-forge
nbformat 4.4.0 py_1 conda-forge
ncurses 6.1 hfc679d8_1 conda-forge
notebook 5.7.0 py36_1000 conda-forge
numpy 1.15.0 py36h1b885b7_0
numpy-base 1.15.0 py36h3dfced4_0
openjpeg 2.3.0 h0e734dc_3 conda-forge
openssl 1.0.2p h470a237_1 conda-forge
pandas 0.23.4 py36hf8a1672_0 conda-forge
pandoc 2.3.1 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.3.1 py_0 conda-forge
pcre 8.41 hfc679d8_3 conda-forge
pexpect 4.6.0 py36_1000 conda-forge
pickleshare 0.7.5 py36_1000 conda-forge
pip 18.1 py36_1000 conda-forge
pixman 0.34.0 h470a237_3 conda-forge
poppler 0.67.0 h4d7e492_3 conda-forge
poppler-data 0.4.9 0 conda-forge
postgresql 10.5 h66035e0_0 conda-forge
proj4 4.9.3 h470a237_8 conda-forge
prometheus_client 0.4.2 py_0 conda-forge
prompt_toolkit 2.0.7 py_0 conda-forge
psycopg2 2.7.5 py36hdffb7b8_2 conda-forge
pthread-stubs 0.4 h470a237_1 conda-forge
ptyprocess 0.6.0 py36_1000 conda-forge
pygments 2.2.0 py_1 conda-forge
pyparsing 2.3.0 py_0 conda-forge
pyproj 1.9.5.1 py36h508ed2a_6 conda-forge
pyqt 5.6.0 py36h8210e8a_7 conda-forge
pyrsistent 0.14.5 py36h470a237_1 conda-forge
pysal 1.14.4.post2 py36_1001 conda-forge
python 3.6.6 h5001a0f_3 conda-forge
python-dateutil 2.7.5 py_0 conda-forge
pytz 2018.7 py_0 conda-forge
pyzmq 17.1.2 py36hae99301_1 conda-forge
qt 5.6.2 hf70d934_9 conda-forge
readline 7.0 haf1bffa_1 conda-forge
rtree 0.8.3 py36_1000 conda-forge
scipy 1.1.0 py36hc49cb51_0
send2trash 1.5.0 py_0 conda-forge
setuptools 40.5.0 py36_0 conda-forge
shapely 1.6.4 py36h164cb2d_1 conda-forge
sip 4.18.1 py36hfc679d8_0 conda-forge
six 1.11.0 py36_1001 conda-forge
sqlalchemy 1.2.13 py36h470a237_0 conda-forge
sqlite 3.25.2 hb1c47c0_0 conda-forge
terminado 0.8.1 py36_1001 conda-forge
testpath 0.4.2 py36_1000 conda-forge
tk 8.6.8 ha92aebf_0 conda-forge
tornado 5.1.1 py36h470a237_0 conda-forge
traitlets 4.3.2 py36_1000 conda-forge
wcwidth 0.1.7 py_1 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.32.2 py36_0 conda-forge
xerces-c 3.2.0 h5d6a6da_2 conda-forge
xorg-kbproto 1.0.7 h470a237_2 conda-forge
xorg-libice 1.0.9 h470a237_4 conda-forge
xorg-libsm 1.2.3 h8c8a85c_0 conda-forge
xorg-libx11 1.6.6 h470a237_0 conda-forge
xorg-libxau 1.0.8 h470a237_6 conda-forge
xorg-libxdmcp 1.1.2 h470a237_7 conda-forge
xorg-libxext 1.3.3 h470a237_4 conda-forge
xorg-libxrender 0.9.10 h470a237_2 conda-forge
xorg-renderproto 0.11.1 h470a237_2 conda-forge
xorg-xextproto 7.3.0 h470a237_2 conda-forge
xorg-xproto 7.0.31 h470a237_7 conda-forge
xz 5.2.4 h470a237_1 conda-forge
zeromq 4.2.5 hfc679d8_6 conda-forge
zlib 1.2.11 h470a237_3 conda-forge
[arnuld@arch64 ~]$
答案 0 :(得分：0)
是的，这是正确的命令。但是，您的某些软件包不在conda-forge中，例如numpy-base：
conda search conda-forge::numpy-base
变为空，与libopenblas相同。它们正在退回到从defaults频道进行更新的方式。
不确定，但是您的BLAS库似乎也参与其中。即，libopenblas还具有defaults中可用的0.3.3版本，而此处显示的是安装0.2.2。这恰好是numpy-base的依赖项，特别是版本1.15.3需要libopenblas>=0.3.3。
可能与优先级mkl时发生的openblas到conda-forge切换有关。我认为我们需要知道已安装的其他库（在更新过程中未更改）才能准确回答所提出的问题。
如果您真的很想分配责任，看来this script for searching the conda dependency graph对于进一步检查很有用。
答案 1 :(得分：0)
这个默认值和 conda-forge 通道不兼容的问题在我看到的几乎所有地方都是如此：
https://github.com/conda-forge/numpy-feedstock/issues/108
https://github.com/conda-forge/conda-forge.github.io/issues/232
由于几乎所有在 defaults 通道中的软件包已经在 conda-forge 中，并且 defaults 中的“ mkl”库未打开，源，但是它的替代“ blas”是，我决定摆脱 defaults 并用 conda-forge 替代。所以我要做的是：
这更改了配置文件：
[arnuld@arch64 ~]$ cat .condarc
channels:
- conda-forge
- defaults
[arnuld@arch64 ~]$
这意味着 conda-forge 的优先级高于 defaults ，并且所有软件包都将首先在 conda-forge 中进行搜索，如果找不到，只有在默认值中。为我工作：
[arnuld@arch64 ~]$ conda install conda
Solving environment: done
## Package Plan ##
environment location: /mnt/sda5/.miniconda3
added / updated specs:
- conda
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-4.5.11 | py37_1000 651 KB conda-forge
ca-certificates-2018.10.15 | ha4d7672_0 135 KB conda-forge
openssl-1.0.2p | h470a237_1 3.1 MB conda-forge
certifi-2018.10.15 | py37_1000 138 KB conda-forge
------------------------------------------------------------
Total: 4.0 MB
The following packages will be UPDATED:
ca-certificates: 2018.03.07-0 --> 2018.10.15-ha4d7672_0 conda-forge
certifi: 2018.8.24-py37_1 --> 2018.10.15-py37_1000 conda-forge
conda: 4.5.11-py37_0 --> 4.5.11-py37_1000 conda-forge
openssl: 1.0.2p-h14c3975_0 --> 1.0.2p-h470a237_1 conda-forge
Proceed ([y]/n)? y
[arnuld@arch64 ~]$ conda update --all
Solving environment: done
## Package Plan ##
environment location: /mnt/sda5/.miniconda3
The following packages will be downloaded:
package | build
---------------------------|-----------------
pysocks-1.6.8 | py37_1002 22 KB conda-forge
six-1.11.0 | py37_1001 21 KB conda-forge
ncurses-6.1 | hfc679d8_1 1.2 MB conda-forge
pycosat-0.6.3 | py37h470a237_1 103 KB conda-forge
cryptography-2.3.1 | py37hdffb7b8_0 587 KB conda-forge
libstdcxx-ng-7.2.0 | hdf63c60_3 2.5 MB conda-forge
ruamel_yaml-0.15.71 | py37h470a237_0 265 KB conda-forge
xz-5.2.4 | h470a237_1 328 KB conda-forge
cffi-1.11.5 | py37h5e8e0c9_1 406 KB conda-forge
pyopenssl-18.0.0 | py37_1000 81 KB conda-forge
libffi-3.2.1 | hfc679d8_5 51 KB conda-forge
bzip2-1.0.6 | h470a237_2 310 KB conda-forge
sqlite-3.25.2 | hb1c47c0_0 1.6 MB conda-forge
urllib3-1.23 | py37_1001 151 KB conda-forge
yaml-0.1.7 | h470a237_1 77 KB conda-forge
asn1crypto-0.24.0 | py37_1003 154 KB conda-forge
libedit-3.1.20170329 | haf1bffa_1 158 KB conda-forge
libgcc-ng-7.2.0 | hdf63c60_3 6.1 MB conda-forge
zlib-1.2.11 | h470a237_3 93 KB conda-forge
python-3.7.0 | h5001a0f_4 25.2 MB conda-forge
pycparser-2.19 | py_0 87 KB conda-forge
wheel-0.32.2 | py37_0 34 KB conda-forge
chardet-3.0.4 | py37_1003 167 KB conda-forge
conda-env-2.6.0 | 1 2 KB conda-forge
setuptools-40.5.0 | py37_0 619 KB conda-forge
idna-2.7 | py37_1002 99 KB conda-forge
pip-18.1 | py37_1000 1.7 MB conda-forge
readline-7.0 | haf1bffa_1 381 KB conda-forge
requests-2.20.0 | py37_1000 83 KB conda-forge
tk-8.6.8 | ha92aebf_0 3.1 MB conda-forge
------------------------------------------------------------
Total: 45.6 MB
The following NEW packages will be INSTALLED:
bzip2: 1.0.6-h470a237_2 conda-forge
The following packages will be UPDATED:
asn1crypto: 0.24.0-py37_0 --> 0.24.0-py37_1003 conda-forge
cffi: 1.11.5-py37he75722e_1 --> 1.11.5-py37h5e8e0c9_1 conda-forge
chardet: 3.0.4-py37_1 --> 3.0.4-py37_1003 conda-forge
conda-env: 2.6.0-1 --> 2.6.0-1 conda-forge
cryptography: 2.3.1-py37hc365091_0 --> 2.3.1-py37hdffb7b8_0 conda-forge
idna: 2.7-py37_0 --> 2.7-py37_1002 conda-forge
libffi: 3.2.1-hd88cf55_4 --> 3.2.1-hfc679d8_5 conda-forge
ncurses: 6.1-hf484d3e_0 --> 6.1-hfc679d8_1 conda-forge
pip: 10.0.1-py37_0 --> 18.1-py37_1000 conda-forge
pycosat: 0.6.3-py37h14c3975_0 --> 0.6.3-py37h470a237_1 conda-forge
pycparser: 2.18-py37_1 --> 2.19-py_0 conda-forge
pyopenssl: 18.0.0-py37_0 --> 18.0.0-py37_1000 conda-forge
pysocks: 1.6.8-py37_0 --> 1.6.8-py37_1002 conda-forge
python: 3.7.0-hc3d631a_0 --> 3.7.0-h5001a0f_4 conda-forge
requests: 2.19.1-py37_0 --> 2.20.0-py37_1000 conda-forge
ruamel_yaml: 0.15.46-py37h14c3975_0 --> 0.15.71-py37h470a237_0 conda-forge
setuptools: 40.2.0-py37_0 --> 40.5.0-py37_0 conda-forge
six: 1.11.0-py37_1 --> 1.11.0-py37_1001 conda-forge
sqlite: 3.24.0-h84994c4_0 --> 3.25.2-hb1c47c0_0 conda-forge
tk: 8.6.8-hbc83047_0 --> 8.6.8-ha92aebf_0 conda-forge
urllib3: 1.23-py37_0 --> 1.23-py37_1001 conda-forge
wheel: 0.31.1-py37_0 --> 0.32.2-py37_0 conda-forge
zlib: 1.2.11-ha838bed_2 --> 1.2.11-h470a237_3 conda-forge
The following packages will be DOWNGRADED:
libedit: 3.1.20170329-h6b74fdf_2 --> 3.1.20170329-haf1bffa_1 conda-forge
libgcc-ng: 8.2.0-hdf63c60_1 --> 7.2.0-hdf63c60_3 conda-forge
libstdcxx-ng: 8.2.0-hdf63c60_1 --> 7.2.0-hdf63c60_3 conda-forge
readline: 7.0-h7b6447c_5 --> 7.0-haf1bffa_1 conda-forge
xz: 5.2.4-h14c3975_4 --> 5.2.4-h470a237_1 conda-forge
yaml: 0.1.7-had09818_2 --> 0.1.7-h470a237_1 conda-forge
Proceed ([y]/n)? y
现在所有软件包总是从 conda-forge 安装：
[arnuld@arch64 ~]$ conda install scipy pandas notebook ipython
Solving environment: done
## Package Plan ##
environment location: /mnt/sda5/.miniconda3
added / updated specs:
- ipython
- notebook
- pandas
- scipy
The following packages will be downloaded:
package | build
---------------------------|-----------------
pygments-2.2.0 | py_1 622 KB conda-forge
jupyter_client-5.2.3 | py_1 59 KB conda-forge
pexpect-4.6.0 | py37_1000 75 KB conda-forge
markupsafe-1.0 | py37h470a237_1 33 KB conda-forge
prompt_toolkit-2.0.7 | py_0 218 KB conda-forge
openblas-0.3.3 | ha44fe06_1 13.7 MB conda-forge
ptyprocess-0.6.0 | py37_1000 22 KB conda-forge
testpath-0.4.2 | py37_1000 91 KB conda-forge
entrypoints-0.2.3 | py37_1002 9 KB conda-forge
blas-1.1 | openblas 1 KB conda-forge
pandoc-2.3.1 | 0 20.7 MB conda-forge
pyrsistent-0.14.5 | py37h470a237_1 85 KB conda-forge
ipython-7.1.1 |py37h24bf2e0_1000 1.1 MB conda-forge
wcwidth-0.1.7 | py_1 17 KB conda-forge
webencodings-0.5.1 | py_1 12 KB conda-forge
send2trash-1.5.0 | py_0 12 KB conda-forge
numpy-1.15.4 |py37_blas_openblashb06ca3d_0 4.2 MB conda-forge
pandas-0.23.4 | py37hf8a1672_0 27.5 MB conda-forge
gmp-6.1.2 | hfc679d8_0 676 KB conda-forge
pytz-2018.7 | py_0 226 KB conda-forge
mistune-0.8.4 | py37h470a237_0 53 KB conda-forge
parso-0.3.1 | py_0 59 KB conda-forge
jedi-0.13.1 | py37_1000 228 KB conda-forge
python-dateutil-2.7.5 | py_0 218 KB conda-forge
zeromq-4.2.5 | hfc679d8_6 939 KB conda-forge
decorator-4.3.0 | py_0 10 KB conda-forge
jupyter_core-4.4.0 | py_0 44 KB conda-forge
attrs-18.2.0 | py_0 30 KB conda-forge
pickleshare-0.7.5 | py37_1000 12 KB conda-forge
nbconvert-5.3.1 | py_1 320 KB conda-forge
pandocfilters-1.4.2 | py_1 9 KB conda-forge
traitlets-4.3.2 | py37_1000 130 KB conda-forge
bleach-3.0.2 | py_0 125 KB conda-forge
ipykernel-5.1.0 | pyh24bf2e0_0 77 KB conda-forge
jsonschema-3.0.0a3 | py37_1000 80 KB conda-forge
prometheus_client-0.4.2 | py_0 32 KB conda-forge
tornado-5.1.1 | py37h470a237_0 662 KB conda-forge
terminado-0.8.1 | py37_1001 23 KB conda-forge
libgfortran-3.0.0 | 1 281 KB conda-forge
nbformat-4.4.0 | py_1 91 KB conda-forge
jinja2-2.10 | py_1 89 KB conda-forge
notebook-5.7.0 | py37_1000 7.3 MB conda-forge
backcall-0.1.0 | py_0 13 KB conda-forge
pyzmq-17.1.2 | py37hae99301_1 455 KB conda-forge
ipython_genutils-0.2.0 | py_1 21 KB conda-forge
scipy-1.1.0 |py37_blas_openblashb06ca3d_202 17.5 MB conda-forge
libsodium-1.0.16 | h470a237_1 536 KB conda-forge
------------------------------------------------------------
Total: 98.5 MB
The following NEW packages will be INSTALLED:
attrs: 18.2.0-py_0 conda-forge
backcall: 0.1.0-py_0 conda-forge
blas: 1.1-openblas conda-forge
bleach: 3.0.2-py_0 conda-forge
decorator: 4.3.0-py_0 conda-forge
entrypoints: 0.2.3-py37_1002 conda-forge
gmp: 6.1.2-hfc679d8_0 conda-forge
ipykernel: 5.1.0-pyh24bf2e0_0 conda-forge
ipython: 7.1.1-py37h24bf2e0_1000 conda-forge
ipython_genutils: 0.2.0-py_1 conda-forge
jedi: 0.13.1-py37_1000 conda-forge
jinja2: 2.10-py_1 conda-forge
jsonschema: 3.0.0a3-py37_1000 conda-forge
jupyter_client: 5.2.3-py_1 conda-forge
jupyter_core: 4.4.0-py_0 conda-forge
libgfortran: 3.0.0-1 conda-forge
libsodium: 1.0.16-h470a237_1 conda-forge
markupsafe: 1.0-py37h470a237_1 conda-forge
mistune: 0.8.4-py37h470a237_0 conda-forge
nbconvert: 5.3.1-py_1 conda-forge
nbformat: 4.4.0-py_1 conda-forge
notebook: 5.7.0-py37_1000 conda-forge
numpy: 1.15.4-py37_blas_openblashb06ca3d_0 conda-forge [blas_openblas]
openblas: 0.3.3-ha44fe06_1 conda-forge
pandas: 0.23.4-py37hf8a1672_0 conda-forge
pandoc: 2.3.1-0 conda-forge
pandocfilters: 1.4.2-py_1 conda-forge
parso: 0.3.1-py_0 conda-forge
pexpect: 4.6.0-py37_1000 conda-forge
pickleshare: 0.7.5-py37_1000 conda-forge
prometheus_client: 0.4.2-py_0 conda-forge
prompt_toolkit: 2.0.7-py_0 conda-forge
ptyprocess: 0.6.0-py37_1000 conda-forge
pygments: 2.2.0-py_1 conda-forge
pyrsistent: 0.14.5-py37h470a237_1 conda-forge
python-dateutil: 2.7.5-py_0 conda-forge
pytz: 2018.7-py_0 conda-forge
pyzmq: 17.1.2-py37hae99301_1 conda-forge
scipy: 1.1.0-py37_blas_openblashb06ca3d_202 conda-forge [blas_openblas]
send2trash: 1.5.0-py_0 conda-forge
terminado: 0.8.1-py37_1001 conda-forge
testpath: 0.4.2-py37_1000 conda-forge
tornado: 5.1.1-py37h470a237_0 conda-forge
traitlets: 4.3.2-py37_1000 conda-forge
wcwidth: 0.1.7-py_1 conda-forge
webencodings: 0.5.1-py_1 conda-forge
zeromq: 4.2.5-hfc679d8_6 conda-forge
Proceed ([y]/n)? y