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conda
InvalidVersionSpecError: Invalid version spec: =2.7
Current Behavior
Good morning, I'm just trying to update some packages and I get the following error:
(base) C:\Users\bd>conda update --all
Solving environment: failed
InvalidVersionSpecError: Invalid version spec: =2.7
I get this error no matter what, conda update 'pkg', conda update conda, conda update --all, conda install nltk, etc. I've seen some people get a variation of the error when trying to update a specific package, but 1) I don't know how to isolate this error to a specific package version, and 2) this happens when I try to update or install anything.
Steps to Reproduce
Expected Behavior
I know it should update packages, but I'm confused about the =2.7 within the error. I thought I only had 2.7 installed, but when I check:
(base) C:\Users\bd>python --version
Python 3.7.1
Environment Information
`conda info`
active environment : base
active env location : C:\Users\bd\AppData\Local\Continuum\anaconda3
shell level : 1
user config file : C:\Users\bd\.condarc
populated config files : C:\Users\bd\.condarc
conda version : 4.5.12
conda-build version : 3.17.6
python version : 3.7.1.final.0
base environment : C:\Users\bd\AppData\Local\Continuum\anaconda3 (writable)
channel URLs : https://conda.anaconda.org/conda-forge/win-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/win-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/win-64
https://repo.anaconda.com/pkgs/pro/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : C:\Users\bd\AppData\Local\Continuum\anaconda3\pkgs
C:\Users\bd\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\bd\AppData\Local\Continuum\anaconda3\envs
C:\Users\bd\AppData\Local\conda\conda\envs
C:\Users\bd\.conda\envs
platform : win-64
user-agent : conda/4.5.12 requests/2.21.0 CPython/3.7.1 Windows/10 Windows/10.0.18362
administrator : False
netrc file : None
offline mode : False
`conda config --show-sources`
==> C:\Users\bd\.condarc <==
ssl_verify: True
channels:
- conda-forge
- defaults
`conda list --show-channel-urls`
# packages in environment at C:\Users\bd\AppData\Local\Continuum\anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0 defaults
alabaster 0.7.12 py37_0 defaults
anaconda 2018.12 py37_0 defaults
anaconda-client 1.7.2 py37_0 defaults
anaconda-navigator 1.9.6 py37_0 defaults
anaconda-project 0.8.2 py37_0 defaults
asn1crypto 0.24.0 py37_0 defaults
astroid 2.1.0 py37_0 defaults
astropy 3.1 py37he774522_0 defaults
atomicwrites 1.2.1 py37_0 defaults
attrs 18.2.0 py37h28b3542_0 defaults
babel 2.6.0 py37_0 defaults
backcall 0.1.0 py37_0 defaults
backports 1.0 py37_1 defaults
backports.os 0.1.1 py37_0 defaults
backports.shutil_get_terminal_size 1.0.0 py37_2 defaults
beautifulsoup4 4.6.3 py37_0 defaults
bitarray 0.8.3 py37hfa6e2cd_0 defaults
bkcharts 0.2 py37_0 defaults
blas 1.0 mkl defaults
blaze 0.11.3 py37_0 defaults
bleach 3.0.2 py37_0 defaults
blosc 1.14.4 he51fdeb_0 defaults
bokeh 1.0.2 py37_0 defaults
boto 2.49.0 py37_0 defaults
bottleneck 1.2.1 py37h452e1ab_1 defaults
bzip2 1.0.6 hfa6e2cd_5 defaults
ca-certificates 2018.03.07 0 defaults
certifi 2018.11.29 py37_0 defaults
cffi 1.11.5 py37h74b6da3_1 defaults
chardet 3.0.4 py37_1 defaults
click 7.0 py37_0 defaults
cloudpickle 0.6.1 py37_0 defaults
clyent 1.2.2 py37_1 defaults
colorama 0.4.1 py37_0 defaults
comtypes 1.1.7 py37_0 defaults
conda 4.5.12 py37_0 defaults
conda-build 3.17.6 py37_0 defaults
conda-env 2.6.0 1 defaults
conda-verify 3.1.1 py37_0 defaults
console_shortcut 0.1.1 3 defaults
contextlib2 0.5.5 py37_0 defaults
cryptography 2.4.2 py37h7a1dbc1_0 defaults
curl 7.63.0 h2a8f88b_1000 defaults
cycler 0.10.0 py37_0 defaults
cython 0.29.2 py37ha925a31_0 defaults
cytoolz 0.9.0.1 py37hfa6e2cd_1 defaults
dask 1.0.0 py37_0 defaults
dask-core 1.0.0 py37_0 defaults
datashape 0.5.4 py37_1 defaults
decorator 4.3.0 py37_0 defaults
defusedxml 0.5.0 py37_1 defaults
distributed 1.25.1 py37_0 defaults
docutils 0.14 py37_0 defaults
entrypoints 0.2.3 py37_2 defaults
et_xmlfile 1.0.1 py37_0 defaults
fastcache 1.0.2 py37hfa6e2cd_2 defaults
filelock 3.0.10 py37_0 defaults
flask 1.0.2 py37_1 defaults
flask-cors 3.0.7 py37_0 defaults
freetype 2.9.1 ha9979f8_1 defaults
future 0.17.1 py37_0 defaults
get_terminal_size 1.0.0 h38e98db_0 defaults
gevent 1.3.7 py37he774522_1 defaults
glob2 0.6 py37_1 defaults
greenlet 0.4.15 py37hfa6e2cd_0 defaults
h5py 2.8.0 py37h3bdd7fb_2 defaults
hdf5 1.10.2 hac2f561_1 defaults
heapdict 1.0.0 py37_2 defaults
html5lib 1.0.1 py37_0 defaults
icc_rt 2019.0.0 h0cc432a_1 defaults
icu 58.2 ha66f8fd_1 defaults
idna 2.8 py37_0 defaults
imageio 2.4.1 py37_0 defaults
imagesize 1.1.0 py37_0 defaults
importlib_metadata 0.6 py37_0 defaults
intel-openmp 2019.1 144 defaults
ipykernel 5.1.0 py37h39e3cac_0 defaults
ipython 7.2.0 py37h39e3cac_0 defaults
ipython_genutils 0.2.0 py37_0 defaults
ipywidgets 7.4.2 py37_0 defaults
isort 4.3.4 py37_0 defaults
itsdangerous 1.1.0 py37_0 defaults
jdcal 1.4 py37_0 defaults
jedi 0.13.2 py37_0 defaults
jinja2 2.10 py37_0 defaults
jpeg 9b hb83a4c4_2 defaults
jsonschema 2.6.0 py37_0 defaults
jupyter 1.0.0 py37_7 defaults
jupyter_client 5.2.4 py37_0 defaults
jupyter_console 6.0.0 py37_0 defaults
jupyter_core 4.4.0 py37_0 defaults
jupyterlab 0.35.3 py37_0 defaults
jupyterlab_server 0.2.0 py37_0 defaults
keyring 17.0.0 py37_0 defaults
kiwisolver 1.0.1 py37h6538335_0 defaults
krb5 1.16.1 hc04afaa_7 defaults
lazy-object-proxy 1.3.1 py37hfa6e2cd_2 defaults
libarchive 3.3.3 h0643e63_5 defaults
libcurl 7.63.0 h2a8f88b_1000 defaults
libiconv 1.15 h1df5818_7 defaults
libpng 1.6.35 h2a8f88b_0 defaults
libsodium 1.0.16 h9d3ae62_0 defaults
libssh2 1.8.0 h7a1dbc1_4 defaults
libtiff 4.0.9 h36446d0_2 defaults
libxml2 2.9.8 hadb2253_1 defaults
libxslt 1.1.32 hf6f1972_0 defaults
llvmlite 0.26.0 py37ha925a31_0 defaults
locket 0.2.0 py37_1 defaults
lxml 4.2.5 py37hef2cd61_0 defaults
lz4-c 1.8.1.2 h2fa13f4_0 defaults
lzo 2.10 h6df0209_2 defaults
m2w64-gcc-libgfortran 5.3.0 6 defaults
m2w64-gcc-libs 5.3.0 7 defaults
m2w64-gcc-libs-core 5.3.0 7 defaults
m2w64-gmp 6.1.0 2 defaults
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 defaults
markupsafe 1.1.0 py37he774522_0 defaults
matplotlib 3.0.2 py37hc8f65d3_0 defaults
mccabe 0.6.1 py37_1 defaults
menuinst 1.4.14 py37hfa6e2cd_0 defaults
mistune 0.8.4 py37he774522_0 defaults
mkl 2019.1 144 defaults
mkl-service 1.1.2 py37hb782905_5 defaults
mkl_fft 1.0.6 py37h6288b17_0 defaults
mkl_random 1.0.2 py37h343c172_0 defaults
more-itertools 4.3.0 py37_0 defaults
mpmath 1.1.0 py37_0 defaults
msgpack-python 0.5.6 py37he980bc4_1 defaults
msys2-conda-epoch 20160418 1 defaults
multipledispatch 0.6.0 py37_0 defaults
navigator-updater 0.2.1 py37_0 defaults
nbconvert 5.4.0 py37_1 defaults
nbformat 4.4.0 py37_0 defaults
networkx 2.2 py37_1 defaults
nltk 3.4 py37_1 defaults
nose 1.3.7 py37_2 defaults
notebook 5.7.4 py37_0 defaults
numba 0.41.0 py37hf9181ef_0 defaults
numexpr 2.6.8 py37hdce8814_0 defaults
numpy 1.15.4 py37h19fb1c0_0 defaults
numpy-base 1.15.4 py37hc3f5095_0 defaults
numpydoc 0.8.0 py37_0 defaults
odo 0.5.1 py37_0 defaults
olefile 0.46 py37_0 defaults
openpyxl 2.5.12 py37_0 defaults
openssl 1.1.1a he774522_0 defaults
packaging 18.0 py37_0 defaults
pandas 0.23.4 py37h830ac7b_0 defaults
pandoc 1.19.2.1 hb2460c7_1 defaults
pandocfilters 1.4.2 py37_1 defaults
parso 0.3.1 py37_0 defaults
partd 0.3.9 py37_0 defaults
path.py 11.5.0 py37_0 defaults
pathlib2 2.3.3 py37_0 defaults
patsy 0.5.1 py37_0 defaults
pep8 1.7.1 py37_0 defaults
pickleshare 0.7.5 py37_0 defaults
pillow 5.3.0 py37hdc69c19_0 defaults
pip 18.1 py37_0 defaults
pkginfo 1.4.2 py37_1 defaults
pluggy 0.8.0 py37_0 defaults
ply 3.11 py37_0 defaults
prometheus_client 0.5.0 py37_0 defaults
prompt_toolkit 2.0.7 py37_0 defaults
psutil 5.4.8 py37he774522_0 defaults
py 1.7.0 py37_0 defaults
pycodestyle 2.4.0 py37_0 defaults
pycosat 0.6.3 py37hfa6e2cd_0 defaults
pycparser 2.19 py37_0 defaults
pycrypto 2.6.1 py37hfa6e2cd_9 defaults
pycurl 7.43.0.2 py37h7a1dbc1_0 defaults
pyflakes 2.0.0 py37_0 defaults
pygments 2.3.1 py37_0 defaults
pylint 2.2.2 py37_0 defaults
pyodbc 4.0.25 py37ha925a31_0 defaults
pyopenssl 18.0.0 py37_0 defaults
pyparsing 2.3.0 py37_0 defaults
pyqt 5.9.2 py37h6538335_2 defaults
pysocks 1.6.8 py37_0 defaults
pytables 3.4.4 py37he6f6034_0 defaults
pytest 4.0.2 py37_0 defaults
pytest-arraydiff 0.3 py37h39e3cac_0 defaults
pytest-astropy 0.5.0 py37_0 defaults
pytest-doctestplus 0.2.0 py37_0 defaults
pytest-openfiles 0.3.1 py37_0 defaults
pytest-remotedata 0.3.1 py37_0 defaults
python 3.7.1 h8c8aaf0_6 defaults
python-dateutil 2.7.5 py37_0 defaults
python-libarchive-c 2.8 py37_6 defaults
pytz 2018.7 py37_0 defaults
pywavelets 1.0.1 py37h8c2d366_0 defaults
pywin32 223 py37hfa6e2cd_1 defaults
pywinpty 0.5.5 py37_1000 defaults
pyyaml 3.13 py37hfa6e2cd_0 defaults
pyzmq 17.1.2 py37hfa6e2cd_0 defaults
qt 5.9.7 vc14h73c81de_0 [vc14] defaults
qtawesome 0.5.3 py37_0 defaults
qtconsole 4.4.3 py37_0 defaults
qtpy 1.5.2 py37_0 defaults
requests 2.21.0 py37_0 defaults
rope 0.11.0 py37_0 defaults
ruamel_yaml 0.15.46 py37hfa6e2cd_0 defaults
scikit-image 0.14.1 py37ha925a31_0 defaults
scikit-learn 0.20.1 py37h343c172_0 defaults
scipy 1.1.0 py37h29ff71c_2 defaults
seaborn 0.9.0 py37_0 defaults
send2trash 1.5.0 py37_0 defaults
setuptools 40.6.3 py37_0 defaults
simplegeneric 0.8.1 py37_2 defaults
singledispatch 3.4.0.3 py37_0 defaults
sip 4.19.8 py37h6538335_0 defaults
six 1.12.0 py37_0 defaults
snappy 1.1.7 h777316e_3 defaults
snowballstemmer 1.2.1 py37_0 defaults
sortedcollections 1.0.1 py37_0 defaults
sortedcontainers 2.1.0 py37_0 defaults
sphinx 1.8.2 py37_0 defaults
sphinxcontrib 1.0 py37_1 defaults
sphinxcontrib-websupport 1.1.0 py37_1 defaults
spyder 3.3.2 py37_0 defaults
spyder-kernels 0.3.0 py37_0 defaults
sqlalchemy 1.2.15 py37he774522_0 defaults
sqlite 3.26.0 he774522_0 defaults
statsmodels 0.9.0 py37h452e1ab_0 defaults
sympy 1.3 py37_0 defaults
tblib 1.3.2 py37_0 defaults
terminado 0.8.1 py37_1 defaults
testpath 0.4.2 py37_0 defaults
tk 8.6.8 hfa6e2cd_0 defaults
toolz 0.9.0 py37_0 defaults
tornado 5.1.1 py37hfa6e2cd_0 defaults
tqdm 4.28.1 py37h28b3542_0 defaults
traitlets 4.3.2 py37_0 defaults
unicodecsv 0.14.1 py37_0 defaults
urllib3 1.24.1 py37_0 defaults
vc 14.1 h0510ff6_4 defaults
vs2015_runtime 14.15.26706 h3a45250_0 defaults
wcwidth 0.1.7 py37_0 defaults
webencodings 0.5.1 py37_1 defaults
werkzeug 0.14.1 py37_0 defaults
wheel 0.32.3 py37_0 defaults
widgetsnbextension 3.4.2 py37_0 defaults
win_inet_pton 1.0.1 py37_1 defaults
win_unicode_console 0.5 py37_0 defaults
wincertstore 0.2 py37_0 defaults
winpty 0.4.3 4 defaults
wrapt 1.10.11 py37hfa6e2cd_2 defaults
xlrd 1.2.0 py37_0 defaults
xlsxwriter 1.1.2 py37_0 defaults
xlwings 0.15.1 py37_0 defaults
xlwt 1.3.0 py37_0 defaults
xz 5.2.4 h2fa13f4_4 defaults
yaml 0.1.7 hc54c509_2 defaults
zeromq 4.2.5 he025d50_1 defaults
zict 0.1.3 py37_0 defaults
zlib 1.2.11 h62dcd97_3 defaults
zstd 1.3.7 h508b16e_0 defaults
┆Issue is synchronized with this Jira Task
I am getting same error (InvalidVersionSpecError: Invalid version spec: =2.7) for conda install/update commands.
conda info
active environment : OpenCV-master-py3
active env location : /opt/conda/envs/OpenCV-master-py3
shell level : 1
user config file : /home/jovyan/.condarc
populated config files : /opt/conda/.condarc
conda version : 4.5.8
conda-build version : not installed
python version : 3.6.5.final.0
base environment : /opt/conda (writable)
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/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/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/4.5.8 requests/2.23.0 CPython/3.6.5 Linux/4.19.121-linuxkit ubuntu/18.04 glibc/2.27
UID:GID : 1000:100
netrc file : None
offline mode : False
Same problem here. I am trying to modify a jupyter docker stack image and get the same error
Same problem. InvalidVersionSpecError: Invalid version spec: =2.7 on install/update conda commands. It was working a month ago. Please look into fixing this soon. Its blocking issue.
I had a same problem and updating conda solved it code:- %%bash conda install --channel defaults conda python=3.6 --yes conda update --channel defaults --all --yes and in the next cell !conda --version
conda update is also throwing the same exception. How did you manage to update conda? What you tried isn't working for me.
Same error for me, also
(renviron) C:\Users\donrc>conda update --dry-run -n base conda
Solving environment: failed
InvalidVersionSpecError: Invalid version spec: =2.7
Blocks package installation
(renviron) C:\Users\donrc>conda install --dry-run pyod
Solving environment: failed
InvalidVersionSpecError: Invalid version spec: =2.7
Happy to supply more info in needed:
conda info =
(renviron) C:\Users\donrc>conda info
active environment : renviron
active env location : D:\Anaconda3\envs\renviron
shell level : 2
user config file : C:\Users\donrc\.condarc
populated config files : C:\Users\donrc\.condarc
conda version : 4.5.11
conda-build version : 3.9.2
python version : 3.5.4.final.0
base environment : D:\Anaconda3 (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/win-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/win-64
https://repo.anaconda.com/pkgs/pro/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
https://conda.anaconda.org/conda-forge/win-64
https://conda.anaconda.org/conda-forge/noarch
package cache : D:\Anaconda3\pkgs
C:\Users\donrc\AppData\Local\conda\conda\pkgs
envs directories : D:\Anaconda3\envs
C:\Users\donrc\AppData\Local\conda\conda\envs
C:\Users\donrc\.conda\envs
platform : win-64
user-agent : conda/4.5.11 requests/2.18.4 CPython/3.5.4 Windows/10 Windows/10.0.19041
administrator : False
netrc file : None
offline mode : False
(renviron) C:\Users\donrc>conda config --show-sources
==> C:\Users\donrc\.condarc <==
ssl_verify: True
channels:
- defaults
- conda-forge
show_channel_urls: True
auto_update_conda: True
I personally solved it by deleting the line conda-forge inside the .condarc config file and by not using conda-forge while installing packages/new envs. Hope it helps someone.
I personally solved it by deleting the line
conda-forgeinside the.condarcconfig file and by not using conda-forge while installing packages/new envs. Hope it helps someone.
it works for me !!!! Thanks!!!!
This worked for me thanks - @rithikreddypalla-q
I had a same problem and updating conda solved it code:- %%bash conda install --channel defaults conda python=3.6 --yes conda update --channel defaults --all --yes and in the next cell !conda --version
I personally solved it by deleting the line
conda-forgeinside the.condarcconfig file and by not using conda-forge while installing packages/new envs. Hope it helps someone.
Thanks so much this did it!
I personally solved it by deleting the line
conda-forgeinside the.condarcconfig file and by not using conda-forge while installing packages/new envs. Hope it helps someone.
Removing conda-forge from my container's environment spec fixed the issue. Obviously not a solution for the folks who need condo-forge, though :(
I personally solved it by deleting the line
conda-forgeinside the.condarcconfig file and by not using conda-forge while installing packages/new envs. Hope it helps someone.Removing
conda-forgefrom my container's environment spec fixed the issue. Obviously not a solution for the folks who needcondo-forge, though :(
@tallestgracie Have you tried just removing conda-forge from .condarc, and then using it to install new packages. I did not try it so I don't know if it could work
I had a same problem and updating conda solved it code:- %%bash conda install --channel defaults conda python=3.6 --yes conda update --channel defaults --all --yes and in the next cell !conda --version
Thank you! It works.
I'm having this problem as well. Working on a cluster, and I need conda-forge packages.
I had to install a personal version of conda on my cluster home drive. Then I cut all the lines it added to my .bashrc, and pasted them into a separate script i ran inside my slurm scripts to run envs with conda-forge packages. very hackish, but it works.
Same problem. Working with conda 4.5.4 on a cluster so I can't update conda or delete conda-forge packages.
Was facing the same problem for a conda-forge package with python 3.7. Solved it by moving to a new python 3.8 conda environment (https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh)
Also facing this on a cluster with conda-forge dependencies. Seems I can't install new packages in any of my conda environments, even ones without conda-forge.
I was having the same problem (cluster) and the only way to deal with it was using an older version of anaconda (4.3.1)
Updating the config file through terminal fix this solution: Run the following command:
conda config --remove channels conda-forge
Same problem. Seems like some issue with conda 4.5.x version
Same problem with conda 4.3.30
This is super hacky, but it worked for me. The problem has to do with how newer versions of conda have added additional valid spec/dependency formats. I was unable to update my conda version, but have access to my conda's python files. This meant that I was able to do the follwoing:
I updated version.py lines 291-298 from:
version_relation_re = re.compile(r'(==|!=|<=|>=|<|>)(?![=<>!])(\S+)$')
regex_split_re = re.compile(r'(\^\S+?\$)')
regex_split_converter = {
'|': 'any',
',': 'all',
}
opdict = {'==': op.__eq__, '!=': op.__ne__, '<=': op.__le__,
'>=': op.__ge__, '<': op.__lt__, '>': op.__gt__}
to:
version_relation_re = re.compile(r'(==|!=|<=|>=|<|>|=)(?![=<>!])(\S+)$')
regex_split_re = re.compile(r'(\^\S+?\$)')
regex_split_converter = {
'|': 'any',
',': 'all',
}
opdict = {'==': op.__eq__, '!=': op.__ne__, '<=': op.__le__, '=': lambda x, y: x.startswith(y),
'>=': op.__ge__, '<': op.__lt__, '>': op.__gt__}
This basically adds a new valid spec format. I cannot gaurantee this is safe, but it worked for me, and appears to be consistent with newer versions of conda. You can find where version.py is by running the install/update with -v.
Updating the config file through terminal fix this solution: Run the following command:
conda config --remove channels conda-forge
thanks worked for me
Updating the config file through terminal fix this solution: Run the following command:
conda config --remove channels conda-forge
Thanks, it worked for me. I personally recommend this one first cause
%%bash conda install --channel defaults conda python=3.6 --yes conda update --channel defaults --all --yes and in the next cell !conda --version
and that delete are both not work on mine.
I have encountered the same error, and resolved by upgrade the conda to the lastest version.
