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Description
Checklist
- I added a descriptive title
- I searched for other feature requests and couldn't find a duplicate (including also the
type-feature
tag) - I confirmed that it's not related to another project (see the above section)
What is the idea?
When conda is outdated, it recommends the user doing a conda update -n base conda
. That's the case at least with conda 4.10.3:
$ conda install black
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base conda
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
...
Instead, conda should recommend the user to do conda install -n base "conda=version"
.
Why is this needed
It looks like conda update -n base conda
has the side effect of upgrading everything else. When the base
environment has other packages, this leads to really scary upgrades:
$ conda update -n base conda
Collecting package metadata (current_repodata.json): done
Solving environment: / WARNING conda.core.solve:_add_specs(611): pinned spec conda==4.8.2 conflicts with explicit specs. Overriding pinned spec.
|
Warning: 4 possible package resolutions (only showing differing packages):
- conda-forge/linux-64::click-8.0.4-py37h89c1867_0, conda-forge/linux-64::distributed-2.18.0-py37hc8dfbb8_0, conda-forge/noarch::decorator-4.4.2-py_0, conda-forge/noarch::networkx-2.5.1-pyhd8ed1ab_0
- conda-forge/linux-64::distributed-2.19.0-py37hc8dfbb8_0, conda-forge/noarch::click-7.1.2-pyh9f0ad1d_0, conda-forge/noarch::decorator-4.4.2-py_0, conda-forge/noarch::networkx-2.5.1-pyhd8ed1ab_0
- conda-forge/linux-64::distributed-2.19.0-py37hc8dfbb8_0, conda-forge/noarch::click-7.1.2-pyh9f0ad1d_0, conda-forge/noarch::decorator-5.1.1-pyhd8ed1ab_0, conda-forge/noarch::networkx-2.4-py_1
- conda-forge/linux-64::click-8.0.4-py37h89c1867_0, conda-forge/linux-64::distributed-2.18.0-py37hc8dfbb8_0, conda-forge/noarch::decorator-5.1.1-pyhd8ed1ab_0, conda-forge/noarch::networkx-2.4-pydone
## Package Plan ##
environment location: /opt/conda
added / updated specs:
- conda
The following packages will be downloaded:
package | build
---------------------------|-----------------
_openmp_mutex-4.5 | 1_gnu 22 KB conda-forge
alembic-1.7.6 | pyhd8ed1ab_0 136 KB conda-forge
argcomplete-2.0.0 | pyhd8ed1ab_0 34 KB conda-forge
attrs-21.4.0 | pyhd8ed1ab_0 49 KB conda-forge
backports-1.0 | py_2 4 KB conda-forge
backports.functools_lru_cache-1.6.4| pyhd8ed1ab_0 9 KB conda-forge
bleach-4.1.0 | pyhd8ed1ab_0 121 KB conda-forge
blosc-1.21.0 | h9c3ff4c_0 841 KB conda-forge
brotlipy-0.7.0 |py37h5e8e339_1003 342 KB conda-forge
bzip2-1.0.8 | h7f98852_4 484 KB conda-forge
c-ares-1.18.1 | h7f98852_0 113 KB conda-forge
cffi-1.15.0 | py37h036bc23_0 225 KB conda-forge
charset-normalizer-2.0.12 | pyhd8ed1ab_0 35 KB conda-forge
click-8.0.4 | py37h89c1867_0 145 KB conda-forge
colorama-0.4.4 | pyh9f0ad1d_0 18 KB conda-forge
conda-4.11.0 | py37h89c1867_1 983 KB conda-forge
conda-package-handling-1.7.3| py37h5e8e339_1 1008 KB conda-forge
cryptography-36.0.1 | py37hf1a17b8_0 1.7 MB conda-forge
cycler-0.11.0 | pyhd8ed1ab_0 10 KB conda-forge
cytoolz-0.11.2 | py37h5e8e339_1 407 KB conda-forge
debugpy-1.5.1 | py37hcd2ae1e_0 2.0 MB conda-forge
defusedxml-0.7.1 | pyhd8ed1ab_0 23 KB conda-forge
entrypoints-0.4 | pyhd8ed1ab_0 9 KB conda-forge
fastcache-1.1.0 | py37h5e8e339_3 30 KB conda-forge
freetype-2.10.4 | h0708190_1 890 KB conda-forge
fsspec-2022.2.0 | pyhd8ed1ab_0 92 KB conda-forge
giflib-5.2.1 | h36c2ea0_2 77 KB conda-forge
gmp-6.2.1 | h58526e2_0 806 KB conda-forge
gmpy2-2.1.2 | py37h025e8b9_0 216 KB conda-forge
idna-3.3 | pyhd8ed1ab_0 55 KB conda-forge
imageio-2.16.1 | pyhcf75d05_0 3.2 MB conda-forge
importlib-metadata-4.11.2 | py37h89c1867_0 33 KB conda-forge
importlib_metadata-4.11.2 | hd8ed1ab_0 4 KB conda-forge
importlib_resources-5.4.0 | pyhd8ed1ab_0 21 KB conda-forge
jbig-2.1 | h7f98852_2003 43 KB conda-forge
jedi-0.18.1 | py37h89c1867_0 997 KB conda-forge
jinja2-3.0.3 | pyhd8ed1ab_0 99 KB conda-forge
joblib-1.1.0 | pyhd8ed1ab_0 210 KB conda-forge
jpeg-9e | h7f98852_0 269 KB conda-forge
json5-0.9.5 | pyh9f0ad1d_0 20 KB conda-forge
jsonschema-4.4.0 | pyhd8ed1ab_0 57 KB conda-forge
jupyter_core-4.9.2 | py37h89c1867_0 80 KB conda-forge
jupyter_telemetry-0.1.0 | pyhd8ed1ab_1 10 KB conda-forge
keyutils-1.6.1 | h166bdaf_0 115 KB conda-forge
kiwisolver-1.3.2 | py37h2527ec5_1 78 KB conda-forge
krb5-1.19.2 | h3790be6_4 1.5 MB conda-forge
lcms2-2.12 | hddcbb42_0 443 KB conda-forge
ld_impl_linux-64-2.36.1 | hea4e1c9_2 667 KB conda-forge
lerc-3.0 | h9c3ff4c_0 216 KB conda-forge
libcurl-7.81.0 | h2574ce0_0 338 KB conda-forge
libdeflate-1.10 | h7f98852_0 77 KB conda-forge
libedit-3.1.20191231 | he28a2e2_2 121 KB conda-forge
libev-4.33 | h516909a_1 104 KB conda-forge
libffi-3.4.2 | h7f98852_5 57 KB conda-forge
libgcc-ng-11.2.0 | h1d223b6_13 906 KB conda-forge
libgfortran-ng-7.5.0 | h14aa051_20 23 KB conda-forge
libgfortran4-7.5.0 | h14aa051_20 1.2 MB conda-forge
libgomp-11.2.0 | h1d223b6_13 428 KB conda-forge
libnghttp2-1.47.0 | h727a467_0 808 KB conda-forge
libnsl-2.0.0 | h7f98852_0 31 KB conda-forge
libpng-1.6.37 | h21135ba_2 306 KB conda-forge
libsodium-1.0.18 | h36c2ea0_1 366 KB conda-forge
libssh2-1.10.0 | ha56f1ee_2 233 KB conda-forge
libstdcxx-ng-11.2.0 | he4da1e4_13 4.2 MB conda-forge
libtiff-4.3.0 | h542a066_3 638 KB conda-forge
libwebp-1.2.2 | h3452ae3_0 85 KB conda-forge
libwebp-base-1.2.2 | h7f98852_1 824 KB conda-forge
libxcb-1.13 | h7f98852_1004 391 KB conda-forge
libzlib-1.2.11 | h36c2ea0_1013 59 KB conda-forge
lz4-c-1.9.3 | h9c3ff4c_1 179 KB conda-forge
lzo-2.10 | h516909a_1000 314 KB conda-forge
mako-1.1.6 | pyhd8ed1ab_0 58 KB conda-forge
markupsafe-2.1.0 | py37h540881e_1 22 KB conda-forge
matplotlib-inline-0.1.3 | pyhd8ed1ab_0 11 KB conda-forge
mistune-0.8.4 |py37h5e8e339_1005 54 KB conda-forge
mock-4.0.3 | py37h89c1867_2 51 KB conda-forge
mpc-1.2.1 | h9f54685_0 106 KB conda-forge
mpfr-4.1.0 | h9202a9a_1 2.6 MB conda-forge
mpmath-1.2.1 | pyhd8ed1ab_0 437 KB conda-forge
msgpack-python-1.0.3 | py37h2527ec5_0 91 KB conda-forge
nbconvert-5.6.1 | pyhd8ed1ab_2 373 KB conda-forge
nbformat-5.1.3 | pyhd8ed1ab_0 47 KB conda-forge
ncurses-6.3 | h9c3ff4c_0 1012 KB conda-forge
networkx-2.5.1 | pyhd8ed1ab_0 1.2 MB conda-forge
numpy-1.21.5 | py37hf2998dd_0 6.1 MB conda-forge
oauthlib-3.2.0 | pyhd8ed1ab_0 90 KB conda-forge
openjpeg-2.4.0 | hb52868f_1 444 KB conda-forge
openssl-1.1.1l | h7f98852_0 2.1 MB conda-forge
packaging-21.3 | pyhd8ed1ab_0 36 KB conda-forge
pandocfilters-1.5.0 | pyhd8ed1ab_0 11 KB conda-forge
parso-0.8.3 | pyhd8ed1ab_0 69 KB conda-forge
partd-1.2.0 | pyhd8ed1ab_0 18 KB conda-forge
pexpect-4.8.0 | pyh9f0ad1d_2 47 KB conda-forge
pickleshare-0.7.5 | py_1003 9 KB conda-forge
pillow-9.0.1 | py37h44f0d7a_2 44.4 MB conda-forge
pip-22.0.3 | pyhd8ed1ab_0 1.5 MB conda-forge
prometheus_client-0.13.1 | pyhd8ed1ab_0 47 KB conda-forge
prompt-toolkit-3.0.27 | pyha770c72_0 252 KB conda-forge
psutil-5.9.0 | py37h5e8e339_0 344 KB conda-forge
pthread-stubs-0.4 | h36c2ea0_1001 5 KB conda-forge
ptyprocess-0.7.0 | pyhd3deb0d_0 16 KB conda-forge
pycosat-0.6.3 |py37h5e8e339_1009 107 KB conda-forge
pycparser-2.21 | pyhd8ed1ab_0 100 KB conda-forge
pycurl-7.44.1 | py37h88a64d2_1 70 KB conda-forge
pygments-2.11.2 | pyhd8ed1ab_0 796 KB conda-forge
pyjwt-2.3.0 | pyhd8ed1ab_1 18 KB conda-forge
pyopenssl-22.0.0 | pyhd8ed1ab_0 49 KB conda-forge
pyparsing-3.0.7 | pyhd8ed1ab_0 79 KB conda-forge
pyrsistent-0.18.1 | py37h5e8e339_0 90 KB conda-forge
pysocks-1.7.1 | py37h89c1867_4 28 KB conda-forge
python-3.7.12 |hb7a2778_100_cpython 57.3 MB conda-forge
python-dateutil-2.8.2 | pyhd8ed1ab_0 240 KB conda-forge
python-json-logger-2.0.1 | pyh9f0ad1d_0 10 KB conda-forge
python_abi-3.7 | 2_cp37m 4 KB conda-forge
pytz-2021.3 | pyhd8ed1ab_0 242 KB conda-forge
pywavelets-1.2.0 | py37hb1e94ed_1 4.4 MB conda-forge
pyyaml-6.0 | py37h5e8e339_3 187 KB conda-forge
pyzmq-22.3.0 | py37h336d617_1 501 KB conda-forge
readline-8.1 | h46c0cb4_0 295 KB conda-forge
requests-2.27.1 | pyhd8ed1ab_0 53 KB conda-forge
ruamel.yaml-0.17.21 | py37h5e8e339_0 171 KB conda-forge
ruamel.yaml.clib-0.2.6 | py37h5e8e339_0 158 KB conda-forge
ruamel_yaml-0.15.80 |py37h5e8e339_1006 270 KB conda-forge
send2trash-1.8.0 | pyhd8ed1ab_0 17 KB conda-forge
setuptools-59.8.0 | py37h89c1867_0 1.0 MB conda-forge
six-1.16.0 | pyh6c4a22f_0 14 KB conda-forge
sortedcontainers-2.4.0 | pyhd8ed1ab_0 26 KB conda-forge
soupsieve-2.3.1 | pyhd8ed1ab_0 33 KB conda-forge
sqlite-3.37.0 | h9cd32fc_0 1.5 MB conda-forge
tblib-1.7.0 | pyhd8ed1ab_0 15 KB conda-forge
terminado-0.13.2 | py37h89c1867_0 27 KB conda-forge
testpath-0.6.0 | pyhd8ed1ab_0 85 KB conda-forge
tk-8.6.12 | h27826a3_0 3.3 MB conda-forge
toolz-0.11.2 | pyhd8ed1ab_0 48 KB conda-forge
tornado-6.1 | py37h5e8e339_2 642 KB conda-forge
tqdm-4.63.0 | pyhd8ed1ab_0 80 KB conda-forge
traitlets-4.3.3 | pyhd8ed1ab_2 62 KB conda-forge
typing_extensions-4.1.1 | pyha770c72_0 29 KB conda-forge
urllib3-1.26.8 | pyhd8ed1ab_1 100 KB conda-forge
wcwidth-0.2.5 | pyh9f0ad1d_2 33 KB conda-forge
wheel-0.37.1 | pyhd8ed1ab_0 31 KB conda-forge
xorg-libxau-1.0.9 | h7f98852_0 13 KB conda-forge
xorg-libxdmcp-1.1.3 | h7f98852_0 19 KB conda-forge
xz-5.2.5 | h516909a_1 343 KB conda-forge
yaml-0.2.5 | h7f98852_2 87 KB conda-forge
zeromq-4.3.4 | h9c3ff4c_1 351 KB conda-forge
zict-2.1.0 | pyhd8ed1ab_0 12 KB conda-forge
zipp-3.7.0 | pyhd8ed1ab_1 12 KB conda-forge
zlib-1.2.11 | h36c2ea0_1013 86 KB conda-forge
zstd-1.5.2 | ha95c52a_0 458 KB conda-forge
------------------------------------------------------------
Total: 165.2 MB
The following NEW packages will be INSTALLED:
backports conda-forge/noarch::backports-1.0-py_2
backports.functoo~ conda-forge/noarch::backports.functools_lru_cache-1.6.4-pyhd8ed1ab_0
c-ares conda-forge/linux-64::c-ares-1.18.1-h7f98852_0
charset-normalizer conda-forge/noarch::charset-normalizer-2.0.12-pyhd8ed1ab_0
colorama conda-forge/noarch::colorama-0.4.4-pyh9f0ad1d_0
giflib conda-forge/linux-64::giflib-5.2.1-h36c2ea0_2
importlib_resourc~ conda-forge/noarch::importlib_resources-5.4.0-pyhd8ed1ab_0
jbig conda-forge/linux-64::jbig-2.1-h7f98852_2003
keyutils conda-forge/linux-64::keyutils-1.6.1-h166bdaf_0
lcms2 conda-forge/linux-64::lcms2-2.12-hddcbb42_0
lerc conda-forge/linux-64::lerc-3.0-h9c3ff4c_0
libdeflate conda-forge/linux-64::libdeflate-1.10-h7f98852_0
libev conda-forge/linux-64::libev-4.33-h516909a_1
libgfortran4 conda-forge/linux-64::libgfortran4-7.5.0-h14aa051_20
libnghttp2 conda-forge/linux-64::libnghttp2-1.47.0-h727a467_0
libnsl conda-forge/linux-64::libnsl-2.0.0-h7f98852_0
libwebp conda-forge/linux-64::libwebp-1.2.2-h3452ae3_0
libxcb conda-forge/linux-64::libxcb-1.13-h7f98852_1004
libzlib conda-forge/linux-64::libzlib-1.2.11-h36c2ea0_1013
openjpeg conda-forge/linux-64::openjpeg-2.4.0-hb52868f_1
pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-h36c2ea0_1001
xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.9-h7f98852_0
xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.3-h7f98852_0
The following packages will be REMOVED:
chardet-3.0.4-py37hc8dfbb8_1006
olefile-0.46-py_0
pandoc-2.9.2.1-0
python-editor-1.0.4-py_0
The following packages will be UPDATED:
_openmp_mutex 4.5-0_gnu --> 4.5-1_gnu
alembic 1.4.2-pyh9f0ad1d_0 --> 1.7.6-pyhd8ed1ab_0
argcomplete 1.12.3-pyhd8ed1ab_2 --> 2.0.0-pyhd8ed1ab_0
attrs 19.3.0-py_0 --> 21.4.0-pyhd8ed1ab_0
bleach 3.1.5-pyh9f0ad1d_0 --> 4.1.0-pyhd8ed1ab_0
blosc 1.19.0-he1b5a44_0 --> 1.21.0-h9c3ff4c_0
brotlipy 0.7.0-py37h8f50634_1000 --> 0.7.0-py37h5e8e339_1003
bzip2 1.0.8-h516909a_2 --> 1.0.8-h7f98852_4
cffi 1.14.4-py37h11fe52a_0 --> 1.15.0-py37h036bc23_0
click conda-forge/noarch::click-7.1.2-pyh9f~ --> conda-forge/linux-64::click-8.0.4-py37h89c1867_0
conda 4.10.3-py37h89c1867_4 --> 4.11.0-py37h89c1867_1
conda-package-han~ 1.6.0-py37h8f50634_2 --> 1.7.3-py37h5e8e339_1
cryptography 2.9.2-py37hb09aad4_0 --> 36.0.1-py37hf1a17b8_0
cycler 0.10.0-py_2 --> 0.11.0-pyhd8ed1ab_0
cytoolz 0.10.1-py37h516909a_0 --> 0.11.2-py37h5e8e339_1
debugpy 1.2.0-py37h745909e_0 --> 1.5.1-py37hcd2ae1e_0
defusedxml 0.6.0-py_0 --> 0.7.1-pyhd8ed1ab_0
entrypoints conda-forge/linux-64::entrypoints-0.3~ --> conda-forge/noarch::entrypoints-0.4-pyhd8ed1ab_0
fastcache 1.1.0-py37h8f50634_1 --> 1.1.0-py37h5e8e339_3
freetype 2.10.2-he06d7ca_0 --> 2.10.4-h0708190_1
fsspec 0.7.4-py_0 --> 2022.2.0-pyhd8ed1ab_0
gmp 6.2.0-he1b5a44_2 --> 6.2.1-h58526e2_0
gmpy2 2.1.0b1-py37h04dde30_0 --> 2.1.2-py37h025e8b9_0
idna 2.9-py_1 --> 3.3-pyhd8ed1ab_0
imageio 2.8.0-py_0 --> 2.16.1-pyhcf75d05_0
importlib-metadata 1.6.1-py37hc8dfbb8_0 --> 4.11.2-py37h89c1867_0
importlib_metadata 1.6.1-0 --> 4.11.2-hd8ed1ab_0
jedi 0.17.0-py37hc8dfbb8_0 --> 0.18.1-py37h89c1867_0
jinja2 2.11.2-pyh9f0ad1d_0 --> 3.0.3-pyhd8ed1ab_0
joblib 0.15.1-py_0 --> 1.1.0-pyhd8ed1ab_0
jpeg 9d-h516909a_0 --> 9e-h7f98852_0
json5 0.9.4-pyh9f0ad1d_0 --> 0.9.5-pyh9f0ad1d_0
jsonschema conda-forge/linux-64::jsonschema-3.2.~ --> conda-forge/noarch::jsonschema-4.4.0-pyhd8ed1ab_0
jupyter_core 4.6.3-py37hc8dfbb8_1 --> 4.9.2-py37h89c1867_0
jupyter_telemetry 0.0.5-py_0 --> 0.1.0-pyhd8ed1ab_1
kiwisolver 1.2.0-py37h99015e2_0 --> 1.3.2-py37h2527ec5_1
krb5 1.17.1-h2fd8d38_0 --> 1.19.2-h3790be6_4
ld_impl_linux-64 2.34-h53a641e_5 --> 2.36.1-hea4e1c9_2
libcurl 7.69.1-hf7181ac_0 --> 7.81.0-h2574ce0_0
libedit 3.1.20191231-h46ee950_0 --> 3.1.20191231-he28a2e2_2
libffi 3.2.1-he1b5a44_1007 --> 3.4.2-h7f98852_5
libgcc-ng 9.2.0-h24d8f2e_2 --> 11.2.0-h1d223b6_13
libgfortran-ng 7.5.0-hdf63c60_6 --> 7.5.0-h14aa051_20
libgomp 9.2.0-h24d8f2e_2 --> 11.2.0-h1d223b6_13
libpng 1.6.37-hed695b0_1 --> 1.6.37-h21135ba_2
libsodium 1.0.17-h516909a_0 --> 1.0.18-h36c2ea0_1
libssh2 1.9.0-hab1572f_2 --> 1.10.0-ha56f1ee_2
libstdcxx-ng 9.2.0-hdf63c60_2 --> 11.2.0-he4da1e4_13
libtiff 4.1.0-hc7e4089_6 --> 4.3.0-h542a066_3
libwebp-base 1.1.0-h516909a_3 --> 1.2.2-h7f98852_1
lz4-c 1.9.2-he1b5a44_1 --> 1.9.3-h9c3ff4c_1
mako 1.1.0-py_0 --> 1.1.6-pyhd8ed1ab_0
markupsafe 1.1.1-py37h8f50634_1 --> 2.1.0-py37h540881e_1
matplotlib-inline 0.1.2-pyhd8ed1ab_2 --> 0.1.3-pyhd8ed1ab_0
mistune 0.8.4-py37h8f50634_1001 --> 0.8.4-py37h5e8e339_1005
mock 4.0.2-py37hc8dfbb8_0 --> 4.0.3-py37h89c1867_2
mpc 1.1.0-h04dde30_1007 --> 1.2.1-h9f54685_0
mpfr 4.0.2-he80fd80_1 --> 4.1.0-h9202a9a_1
mpmath 1.1.0-py_0 --> 1.2.1-pyhd8ed1ab_0
msgpack-python 1.0.0-py37h99015e2_1 --> 1.0.3-py37h2527ec5_0
nbconvert conda-forge/linux-64::nbconvert-5.6.1~ --> conda-forge/noarch::nbconvert-5.6.1-pyhd8ed1ab_2
nbformat 5.0.6-py_0 --> 5.1.3-pyhd8ed1ab_0
ncurses 6.1-hf484d3e_1002 --> 6.3-h9c3ff4c_0
networkx 2.4-py_1 --> 2.5.1-pyhd8ed1ab_0
numpy 1.18.5-py37h8960a57_0 --> 1.21.5-py37hf2998dd_0
oauthlib 3.0.1-py_0 --> 3.2.0-pyhd8ed1ab_0
openssl 1.1.1h-h516909a_0 --> 1.1.1l-h7f98852_0
packaging 20.4-pyh9f0ad1d_0 --> 21.3-pyhd8ed1ab_0
pandocfilters 1.4.2-py_1 --> 1.5.0-pyhd8ed1ab_0
parso 0.7.0-pyh9f0ad1d_0 --> 0.8.3-pyhd8ed1ab_0
partd 1.1.0-py_0 --> 1.2.0-pyhd8ed1ab_0
pexpect conda-forge/linux-64::pexpect-4.8.0-p~ --> conda-forge/noarch::pexpect-4.8.0-pyh9f0ad1d_2
pickleshare conda-forge/linux-64::pickleshare-0.7~ --> conda-forge/noarch::pickleshare-0.7.5-py_1003
pillow 7.1.2-py37h718be6c_0 --> 9.0.1-py37h44f0d7a_2
pip 20.1.1-py_1 --> 22.0.3-pyhd8ed1ab_0
prometheus_client 0.8.0-pyh9f0ad1d_0 --> 0.13.1-pyhd8ed1ab_0
prompt-toolkit 3.0.5-py_0 --> 3.0.27-pyha770c72_0
psutil 5.7.0-py37h8f50634_1 --> 5.9.0-py37h5e8e339_0
ptyprocess 0.6.0-py_1001 --> 0.7.0-pyhd3deb0d_0
pycosat 0.6.3-py37h8f50634_1004 --> 0.6.3-py37h5e8e339_1009
pycparser 2.20-py_0 --> 2.21-pyhd8ed1ab_0
pycurl 7.43.0.5-py37h16ce93b_0 --> 7.44.1-py37h88a64d2_1
pygments 2.6.1-py_0 --> 2.11.2-pyhd8ed1ab_0
pyjwt 1.7.1-py_0 --> 2.3.0-pyhd8ed1ab_1
pyopenssl 19.1.0-py_1 --> 22.0.0-pyhd8ed1ab_0
pyparsing 2.4.7-pyh9f0ad1d_0 --> 3.0.7-pyhd8ed1ab_0
pyrsistent 0.16.0-py37h8f50634_0 --> 0.18.1-py37h5e8e339_0
pysocks 1.7.1-py37hc8dfbb8_1 --> 1.7.1-py37h89c1867_4
python 3.7.6-cpython_h8356626_6 --> 3.7.12-hb7a2778_100_cpython
python-dateutil 2.8.1-py_0 --> 2.8.2-pyhd8ed1ab_0
python-json-logger 0.1.11-py_0 --> 2.0.1-pyh9f0ad1d_0
python_abi 3.7-1_cp37m --> 3.7-2_cp37m
pytz 2020.1-pyh9f0ad1d_0 --> 2021.3-pyhd8ed1ab_0
pywavelets 1.1.1-py37h03ebfcd_1 --> 1.2.0-py37hb1e94ed_1
pyyaml 5.3.1-py37h8f50634_0 --> 6.0-py37h5e8e339_3
pyzmq 19.0.1-py37hac76be4_0 --> 22.3.0-py37h336d617_1
readline 8.0-hf8c457e_0 --> 8.1-h46c0cb4_0
requests 2.24.0-pyh9f0ad1d_0 --> 2.27.1-pyhd8ed1ab_0
ruamel.yaml 0.16.6-py37h8f50634_1 --> 0.17.21-py37h5e8e339_0
ruamel.yaml.clib 0.2.0-py37h8f50634_1 --> 0.2.6-py37h5e8e339_0
ruamel_yaml 0.15.80-py37h8f50634_1001 --> 0.15.80-py37h5e8e339_1006
send2trash 1.5.0-py_0 --> 1.8.0-pyhd8ed1ab_0
setuptools 47.3.1-py37hc8dfbb8_0 --> 59.8.0-py37h89c1867_0
six 1.15.0-pyh9f0ad1d_0 --> 1.16.0-pyh6c4a22f_0
sortedcontainers 2.2.2-pyh9f0ad1d_0 --> 2.4.0-pyhd8ed1ab_0
soupsieve conda-forge/linux-64::soupsieve-2.0.1~ --> conda-forge/noarch::soupsieve-2.3.1-pyhd8ed1ab_0
sqlite 3.30.1-hcee41ef_0 --> 3.37.0-h9cd32fc_0
tblib 1.6.0-py_0 --> 1.7.0-pyhd8ed1ab_0
terminado 0.8.3-py37hc8dfbb8_1 --> 0.13.2-py37h89c1867_0
testpath 0.4.4-py_0 --> 0.6.0-pyhd8ed1ab_0
tk 8.6.10-hed695b0_0 --> 8.6.12-h27826a3_0
toolz 0.10.0-py_0 --> 0.11.2-pyhd8ed1ab_0
tornado 6.0.4-py37h8f50634_1 --> 6.1-py37h5e8e339_2
tqdm 4.46.1-pyh9f0ad1d_0 --> 4.63.0-pyhd8ed1ab_0
traitlets conda-forge/linux-64::traitlets-4.3.3~ --> conda-forge/noarch::traitlets-4.3.3-pyhd8ed1ab_2
typing_extensions 3.7.4.2-py_0 --> 4.1.1-pyha770c72_0
urllib3 1.25.9-py_0 --> 1.26.8-pyhd8ed1ab_1
wcwidth 0.2.4-pyh9f0ad1d_0 --> 0.2.5-pyh9f0ad1d_2
wheel 0.34.2-py_1 --> 0.37.1-pyhd8ed1ab_0
xz 5.2.5-h516909a_0 --> 5.2.5-h516909a_1
yaml 0.2.5-h516909a_0 --> 0.2.5-h7f98852_2
zeromq 4.3.2-he1b5a44_2 --> 4.3.4-h9c3ff4c_1
zict 2.0.0-py_0 --> 2.1.0-pyhd8ed1ab_0
zipp 3.1.0-py_0 --> 3.7.0-pyhd8ed1ab_1
zlib 1.2.11-h516909a_1006 --> 1.2.11-h36c2ea0_1013
zstd 1.4.4-h6597ccf_3 --> 1.5.2-ha95c52a_0
The following packages will be DOWNGRADED:
lzo 2.10-h14c3975_1000 --> 2.10-h516909a_1000
Proceed ([y]/n)?
I personally never touch the base
environment, but this is not the case for everyone. Therefore, recommending conda install -n base "conda=version"
might be a better alternative, since it's much less destructive:
$ conda install -n base "conda=4.11.0"
Collecting package metadata (current_repodata.json): done
Solving environment: | WARNING conda.core.solve:_add_specs(611): pinned spec conda==4.8.2 conflicts with explicit specs. Overriding pinned spec.
done
## Package Plan ##
environment location: /opt/conda
added / updated specs:
- conda=4.11.0
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-4.11.0 | py37h89c1867_1 983 KB conda-forge
------------------------------------------------------------
Total: 983 KB
The following packages will be UPDATED:
conda 4.10.3-py37h89c1867_4 --> 4.11.0-py37h89c1867_1
Proceed ([y]/n)?
What should happen?
When the user does a conda operation with an outdated version, prompt something like:
$ conda install whatever
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda install -n base "conda=4.11.0"
Additional Context
My configuration in case it's useful:
jovyan@56451335c9ab:~$ conda config --show-sources
==> /opt/conda/.condarc <==
auto_update_conda: False
channel_priority: strict
channels:
- conda-forge
- defaults
show_channel_urls: True
==> /home/jovyan/.condarc <==
auto_update_conda: False
channel_priority: strict
channels:
- conda-forge
- defaults
show_channel_urls: True
jovyan@56451335c9ab:~$ conda info -a
active environment : None
user config file : /home/jovyan/.condarc
populated config files : /opt/conda/.condarc
/home/jovyan/.condarc
conda version : 4.10.3
conda-build version : not installed
python version : 3.7.6.final.0
virtual packages : __linux=5.13.0=0
__glibc=2.31=0
__unix=0=0
__archspec=1=x86_64
base environment : /opt/conda (writable)
conda av data dir : /opt/conda/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /opt/conda/pkgs
/home/jovyan/.conda/pkgs
envs directories : /opt/conda/envs
/home/jovyan/.conda/envs
platform : linux-64
user-agent : conda/4.10.3 requests/2.24.0 CPython/3.7.6 Linux/5.13.0-30-generic ubuntu/20.04 glibc/2.31
UID:GID : 1000:100
netrc file : None
offline mode : False
# conda environments:
#
base * /opt/conda
sys.version: 3.7.6 | packaged by conda-forge | (defau...
sys.prefix: /opt/conda
sys.executable: /opt/conda/bin/python
conda location: /opt/conda/lib/python3.7/site-packages/conda
conda-build: None
conda-env: /opt/conda/bin/conda-env
user site dirs:
CIO_TEST: <not set>
CONDA_DIR: /opt/conda
CONDA_ROOT: /opt/conda
CONDA_VERSION: 4.8.2
CURL_CA_BUNDLE: <not set>
PATH: /opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/conda/bin
REQUESTS_CA_BUNDLE: <not set>
SSL_CERT_FILE: <not set>
pllim
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