I exported an environment using conda env export > environment.yml
.
I installed miniconda3 on a different system, updated conda, installed pip.
Then conda env create -f environment.yml -n py3
Actual Behavior
It gives me this error message:
Solving environment: failed
ResolvePackageNotFound:
- brewer2mpl==1.4=py36_0
- ggplot==0.9.4=py36_0
Expected Behavior
The environment should be installed with the same packages indicated in the yml file. All necessary information, such as channels, should be provided by the yml file. And it should give a warning about packages from locally installed sources. I noted that e.g. the packages pyqsar from my source system is not available on the target system. Though conda did not raise a warning.
Steps to Reproduce
TARGET SYSTEM
active environment : None
user config file : /home/swacker/.condarc
populated config files :
conda version : 4.5.4
conda-build version : not installed
python version : 3.6.5.final.0
base environment : /home/swacker/miniconda3 (writable)
channel URLs : 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 : /home/swacker/miniconda3/pkgs
/home/swacker/.conda/pkgs
envs directories : /home/swacker/miniconda3/envs
/home/swacker/.conda/envs
platform : linux-64
user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.5 Linux/3.10.0-693.17.1.el7.x86_64 centos/7 glibc/2.17
UID:GID : 16608087:16608087
netrc file : None
offline mode : False
# packages in environment at /home/swacker/miniconda3:
#
# Name Version Build Channel
asn1crypto 0.24.0 py36_0 defaults
ca-certificates 2018.03.07 0 defaults
certifi 2018.4.16 py36_0 defaults
cffi 1.11.5 py36h9745a5d_0 defaults
chardet 3.0.4 py36h0f667ec_1 defaults
conda 4.5.4 py36_0 defaults
conda-env 2.6.0 h36134e3_1 defaults
cryptography 2.2.2 py36h14c3975_0 defaults
idna 2.6 py36h82fb2a8_1 defaults
libedit 3.1 heed3624_0 defaults
libffi 3.2.1 hd88cf55_4 defaults
libgcc-ng 7.2.0 hdf63c60_3 defaults
libstdcxx-ng 7.2.0 hdf63c60_3 defaults
ncurses 6.0 h9df7e31_2 defaults
openssl 1.0.2o h20670df_0 defaults
pip 9.0.3 py36_0 defaults
pycosat 0.6.3 py36h0a5515d_0 defaults
pycparser 2.18 py36hf9f622e_1 defaults
pyopenssl 17.5.0 py36h20ba746_0 defaults
pysocks 1.6.8 py36_0 defaults
python 3.6.5 hc3d631a_0 defaults
readline 7.0 ha6073c6_4 defaults
requests 2.18.4 py36he2e5f8d_1 defaults
ruamel_yaml 0.15.35 py36h14c3975_1 defaults
setuptools 39.0.1 py36_0 defaults
six 1.11.0 py36h372c433_1 defaults
sqlite 3.23.1 he433501_0 defaults
tk 8.6.7 hc745277_3 defaults
urllib3 1.22 py36hbe7ace6_0 defaults
wheel 0.31.0 py36_0 defaults
xz 5.2.3 h55aa19d_2 defaults
yaml 0.1.7 had09818_2 defaults
zlib 1.2.11 ha838bed_2 defaults
environment.yml
cat environment.yml
name: py3
channels:
- conda-forge
- bioconda
- bokeh
- defaults
dependencies:
- p7zip=15.09=3
- brewer2mpl=1.4=py36_0
- ggplot=0.9.4=py36_0
- jupyter_dashboards=0.7.0=py36_0
- _tflow_180_select=1.0=gpu
- absl-py=0.2.1=py36_0
- asn1crypto=0.24.0=py36_0
- astor=0.6.2=py36_0
- backcall=0.1.0=py36_0
- backports=1.0=py36hfa02d7e_1
- backports.weakref=1.0.post1=py36h39d5b32_0
- blas=1.0=mkl
- bleach=1.5.0=py36_0
- blosc=1.14.3=hdbcaa40_0
- bokeh=0.12.16=py36_0
- bzip2=1.0.6=h14c3975_5
- ca-certificates=2018.03.07=0
- certifi=2018.4.16=py36_0
- cffi=1.11.5=py36h9745a5d_0
- chardet=3.0.4=py36h0f667ec_1
- click=6.7=py36h5253387_0
- cloudpickle=0.5.3=py36_0
- colorcet=1.0.0=py36_0
- cryptography=2.2.2=py36h14c3975_0
- cudatoolkit=9.0=h13b8566_0
- cudnn=7.1.2=cuda9.0_0
- cupti=9.0.176=0
- cycler=0.10.0=py36h93f1223_0
- cython=0.28.2=py36h14c3975_0
- cytoolz=0.9.0.1=py36h14c3975_0
- dask=0.17.5=py36_0
- dask-core=0.17.5=py36_0
- datashader=0.6.5=py36_0
- datashape=0.5.4=py36h3ad6b5c_0
- dbus=1.13.2=h714fa37_1
- decorator=4.3.0=py36_0
- distributed=1.21.8=py36_0
- entrypoints=0.2.3=py36h1aec115_2
- expat=2.2.5=he0dffb1_0
- fontconfig=2.12.6=h49f89f6_0
- freetype=2.8=hab7d2ae_1
- gast=0.2.0=py36_0
- glib=2.56.1=h000015b_0
- gmp=6.1.2=h6c8ec71_1
- grpcio=1.11.0=py36hf484d3e_0
- gst-plugins-base=1.14.0=hbbd80ab_1
- gstreamer=1.14.0=hb453b48_1
- h5py=2.7.1=py36h3585f63_0
- hdf5=1.10.1=h9caa474_1
- heapdict=1.0.0=py36_2
- html5lib=0.9999999=py36_0
- icu=58.2=h9c2bf20_1
- idna=2.6=py36h82fb2a8_1
- imageio=2.3.0=py36_0
- inflection=0.3.1=py36_0
- intel-openmp=2018.0.0=8
- ipykernel=4.8.2=py36_0
- ipython=6.4.0=py36_0
- ipython_genutils=0.2.0=py36hb52b0d5_0
- ipywidgets=7.2.1=py36_0
- jedi=0.12.0=py36_1
- jinja2=2.10=py36ha16c418_0
- jpeg=9b=h024ee3a_2
- jsonschema=2.6.0=py36h006f8b5_0
- jupyter=1.0.0=py36_4
- jupyter_client=5.2.3=py36_0
- jupyter_console=5.2.0=py36he59e554_1
- jupyter_core=4.4.0=py36h7c827e3_0
- jupyterlab=0.32.1=py36_0
- jupyterlab_launcher=0.10.5=py36_0
- keras=2.1.5=py36_0
- kiwisolver=1.0.1=py36h764f252_0
- libedit=3.1.20170329=h6b74fdf_2
- libffi=3.2.1=hd88cf55_4
- libgcc-ng=7.2.0=hdf63c60_3
- libgfortran-ng=7.2.0=hdf63c60_3
- libpng=1.6.34=hb9fc6fc_0
- libprotobuf=3.5.2=h6f1eeef_0
- libsodium=1.0.16=h1bed415_0
- libstdcxx-ng=7.2.0=hdf63c60_3
- libtiff=4.0.9=he85c1e1_1
- libxcb=1.13=h1bed415_1
- libxml2=2.9.8=h26e45fe_1
- llvmlite=0.23.1=py36hdbcaa40_0
- locket=0.2.0=py36h787c0ad_1
- lzo=2.10=h49e0be7_2
- markdown=2.6.11=py36_0
- markupsafe=1.0=py36hd9260cd_1
- matplotlib=2.2.2=py36h0e671d2_1
- mistune=0.8.3=py36h14c3975_1
- mkl=2018.0.2=1
- mkl_fft=1.0.1=py36h3010b51_0
- mkl_random=1.0.1=py36h629b387_0
- mock=2.0.0=py36h3c5bf6c_0
- more-itertools=4.1.0=py36_0
- msgpack-python=0.5.6=py36h6bb024c_0
- multipledispatch=0.5.0=py36_0
- nbconvert=5.3.1=py36hb41ffb7_0
- nbformat=4.4.0=py36h31c9010_0
- ncurses=6.1=hf484d3e_0
- networkx=2.1=py36_0
- nose=1.3.7=py36hcdf7029_2
- notebook=5.5.0=py36_0
- numba=0.38.0=py36h637b7d7_0
- numexpr=2.6.5=py36h7bf3b9c_0
- numpy=1.14.3=py36hcd700cb_1
- numpy-base=1.14.3=py36h9be14a7_1
- olefile=0.45.1=py36_0
- openssl=1.0.2o=h20670df_0
- packaging=17.1=py36_0
- pandas=0.23.0=py36h637b7d7_0
- pandoc=1.19.2.1=hea2e7c5_1
- pandocfilters=1.4.2=py36ha6701b7_1
- param=1.6.1=py36_0
- parso=0.2.0=py36_0
- partd=0.3.8=py36h36fd896_0
- patsy=0.5.0=py36_0
- pbr=4.0.3=py36_0
- pcre=8.42=h439df22_0
- pexpect=4.5.0=py36_0
- pickleshare=0.7.4=py36h63277f8_0
- pillow=5.1.0=py36h3deb7b8_0
- pip=10.0.1=py36_0
- plotly=2.6.0=py36_0
- prompt_toolkit=1.0.15=py36h17d85b1_0
- protobuf=3.5.2=py36hf484d3e_0
- psutil=5.4.5=py36h14c3975_0
- ptyprocess=0.5.2=py36h69acd42_0
- pycparser=2.18=py36hf9f622e_1
- pygments=2.2.0=py36h0d3125c_0
- pyopenssl=18.0.0=py36_0
- pyparsing=2.2.0=py36hee85983_1
- pyqt=5.9.2=py36h751905a_0
- pysocks=1.6.8=py36_0
- pytables=3.4.3=py36h02b9ad4_0
- python=3.6.5=hc3d631a_2
- python-dateutil=2.7.3=py36_0
- pytz=2018.4=py36_0
- pywavelets=0.5.2=py36he602eb0_0
- pyyaml=3.12=py36hafb9ca4_1
- pyzmq=17.0.0=py36h14c3975_0
- qt=5.9.5=h7e424d6_0
- qtconsole=4.3.1=py36h8f73b5b_0
- quandl=3.3.0=py36_0
- readline=7.0=ha6073c6_4
- requests=2.18.4=py36he2e5f8d_1
- scikit-image=0.13.1=py36h14c3975_1
- scikit-learn=0.19.1=py36h7aa7ec6_0
- scipy=1.1.0=py36hfc37229_0
- seaborn=0.8.1=py36hfad7ec4_0
- send2trash=1.5.0=py36_0
- setuptools=39.1.0=py36_0
- simplegeneric=0.8.1=py36_2
- sip=4.19.8=py36hf484d3e_0
- six=1.11.0=py36h372c433_1
- snappy=1.1.7=hbae5bb6_3
- sortedcontainers=1.5.10=py36_0
- sqlalchemy=1.2.7=py36h6b74fdf_0
- sqlite=3.23.1=he433501_0
- statsmodels=0.9.0=py36h3010b51_0
- tblib=1.3.2=py36h34cf8b6_0
- tensorboard=1.8.0=py36hf484d3e_0
- tensorflow=1.8.0=hb11d968_0
- tensorflow-base=1.8.0=py36hc1a7637_0
- tensorflow-tensorboard=1.5.1=py36hf484d3e_1
- termcolor=1.1.0=py36_1
- terminado=0.8.1=py36_1
- testpath=0.3.1=py36h8cadb63_0
- tk=8.6.7=hc745277_3
- toolz=0.9.0=py36_0
- tornado=5.0.2=py36_0
- tqdm=4.23.3=py36_0
- traitlets=4.3.2=py36h674d592_0
- urllib3=1.22=py36hbe7ace6_0
- wcwidth=0.1.7=py36hdf4376a_0
- werkzeug=0.14.1=py36_0
- wheel=0.31.1=py36_0
- widgetsnbextension=3.2.1=py36_0
- xarray=0.10.4=py36_0
- xz=5.2.4=h14c3975_4
- yaml=0.1.7=had09818_2
- zeromq=4.2.5=h439df22_0
- zict=0.1.3=py36h3a3bf81_0
- zlib=1.2.11=ha838bed_2
- pip:
- args==0.1.0
- chembl-webresource-client==0.9.31
- clint==0.5.1
- dill==0.2.7.1
- easydict==1.7
- enum34==1.1.6
- floyd-cli==0.10.31
- gevent==1.3.1
- gevent-openssl==1.2
- greenlet==0.4.13
- grequests==0.2.0
- holoviews (/mnt/c/Users/soere/workspace/holoviews)==1.10.4.post10+g8711663
- ipython-genutils==0.2.0
- jupyter-client==5.2.3
- jupyter-console==5.2.0
- jupyter-core==4.4.0
- jupyter-dashboards==0.7.0
- jupyterlab-launcher==0.10.5
- lightgbm==2.0.11
- lxml==4.2.1
- marshmallow==2.15.0
- mkl-fft==1.0.0
- mkl-random==1.0.1
- molvs==0.1.1
- mytoolbox==0+untagged.3.gde0cad4
- oauthlib==2.0.6
- pathlib2==2.3.0
- prompt-toolkit==1.0.15
- pyqsar-ML-publication==1.ge51d073.dirty
- pyteomics==3.4.2
- raven==6.5.0
- requests-cache==0.4.13
- requests-oauthlib==0.8.0
- requests-toolbelt==0.8.0
- tables==3.4.3
- tabulate==0.8.2
- tweepy==3.5.0
- unittest2py3k==0.5.1
- unittest2six==0.0.0
- versioneer==0.18
- xgboost==0.7.post3
prefix: /home/swacker/miniconda3/envs/py3
Forum rules
Read the FAQs and search the forum before posting a new topic.
Please mark any answers that fixed your problems so others can find the solutions.
-
binarybits
- Posts: 1
- Joined: Tue Dec 03, 2019 6:26 pm
Error Creating Conda Virtual Environment
Hi,
I’m trying to install FaceSwap on Windows and I get the following errors:
CondaEnvironmentNotFoundError: Could not find environment: base .
Creating Conda virtual environment…
[Stuff about creating the environment]
CommandNotFoundError: ‘deactivate’
Error creating Conda virtual environment.
Install aborted.
Can anyone suggest what might be wrong here? I’m on Windows 10. I tried installing AnaConda but it said the package was already installed.
Thanks.
-Tim
-
fabiomarques297
- Posts: 1
- Joined: Sun Jun 14, 2020 5:14 pm
Error Creating Conda Virtual Environment
Post
by fabiomarques297 » Sun Jun 14, 2020 5:19 pm
Im geting this error when i’m trying to instal the faceswap
(check) CPU Supports AVX Instructions
(check) CPU Supports SSE4 Instructions
(check) Completed check for installed applications
(check) Setting up for: amd
Downloading Miniconda3…
Installing Miniconda3. This will take a few minutes…
Miniconda3 installed.
Initializing Conda…
Creating Conda Virtual Environment…
Error Creating Conda Virtual Environment
Install Aborted
can anybody help me please
-
Dwellerz
- Posts: 9
- Joined: Tue Aug 04, 2020 11:34 pm
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Dwellerz
- Posts: 9
- Joined: Tue Aug 04, 2020 11:34 pm
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torzdf
- Posts: 2218
- Joined: Fri Jul 12, 2019 12:53 am
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Answers: 142
- Has thanked: 109 times
- Been thanked: 505 times
Re: Error Creating Conda Virtual Environment
Post
by torzdf » Thu Aug 06, 2020 6:57 am
fabiomarques297 wrote: ↑Sun Jun 14, 2020 5:19 pm
Im geting this error when i’m trying to instal the faceswap
(check) CPU Supports AVX Instructions
(check) CPU Supports SSE4 Instructions
(check) Completed check for installed applications
(check) Setting up for: amdDownloading Miniconda3…
Installing Miniconda3. This will take a few minutes…
Miniconda3 installed.
Initializing Conda…
Creating Conda Virtual Environment…
Error Creating Conda Virtual Environment
Install Abortedcan anybody help me please
Follow these instructions, and let us know if you still have an issue:
app.php/faqpage#f1r1
My word is final
-
Grassone
- Posts: 45
- Joined: Sun Apr 19, 2020 7:32 pm
- Has thanked: 6 times
- Been thanked: 2 times
Error Creating Conda virtual environment.
Post
by Grassone » Thu Sep 17, 2020 4:22 pm
Hello:
New PC:
Ryzen 2700x
Ventus GeForce RTX 2700
16G ram
3T hdd
Tried to do ALL the steps listed in app.php/faqpage#f1r1
But no luck:
i am stuck with this error.
NOTE 1
Miniconda seems to be installed fine (it can be successufully uninstalled by WIN 10 app manager)
NOTE 2
I found these exe files:
python.exe
python3.exe
python3.7.exe
in the C:UsersFulvio AMDAppDataLocalMicrosoftWindowsApps directory.
Should I remove them ? Do they hurt ?
PLZ. Help.
-
Grassone
- Posts: 45
- Joined: Sun Apr 19, 2020 7:32 pm
- Has thanked: 6 times
- Been thanked: 2 times
Re: Error Creating Conda virtual environment.
Post
by Grassone » Tue Sep 22, 2020 8:55 pm
Interesting… now i have 2 miniconda3 directories…
one in C:fsminiconda3
the second in C:Usersfulvio AMDminiconda3
Faceswap installer detected the existing miniconda3 installation, but apparently cloned it into the usersfulvio AMDminiconda3 directory….
I’ll let you know how it ends…
-
sccsd
- Posts: 1
- Joined: Thu Apr 15, 2021 4:01 am
An error while installing the Faceswap
Post
by sccsd » Thu Apr 15, 2021 4:10 am
Hello,I m a new handed in this kind of software,so while i am installing the software,an error occured that make me confused,i list all below:
Downloading Miniconda3…..
Installing Miniconda3,This will take a few minutes…
Miniconda3 installed,
Initializing Conda…
Creating Conda Virtual Environment…
Error Creating Conda Virtual Environment
Install Aborted
and though i tried to install Miniconda3 manually,after the installation,i tried again ,but it still didn’t work,shoud i creat the environment myself???But i really don’t know how to deal with it…Thank you!
-
ShrekLuzz
- Posts: 1
- Joined: Sat May 01, 2021 3:27 pm
Re: An error while installing the Faceswap
Post
by ShrekLuzz » Sat May 01, 2021 3:29 pm
sccsd wrote: ↑Thu Apr 15, 2021 4:10 am
Hello,I m a new handed in this kind of software,so while i am installing the software,an error occured that make me confused,i list all below:
Downloading Miniconda3…..
Installing Miniconda3,This will take a few minutes…
Miniconda3 installed,
Initializing Conda…
Creating Conda Virtual Environment…
Error Creating Conda Virtual Environment
Install Abortedand though i tried to install Miniconda3 manually,after the installation,i tried again ,but it still didn’t work,shoud i creat the environment myself???But i really don’t know how to deal with it…Thank you!
I got the same issue , hava you fixed it yet ?
Problem Description:
In Anaconda prompt (anaconda3)
, use the CONDA create
command to create a new environment. The error is as follows:
(base) D:OneDriveDesktop>conda create -n my_env python==3.8
Collecting package metadata (current_repodata.json): failed
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 259, in _load
raw_repodata_str = fetch_repodata_remote_request(
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 613, in fetch_repodata_remote_request
raise Response304ContentUnchanged()
conda.core.subdir_data.Response304ContentUnchanged
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:anaconda3libsite-packagescondaexceptions.py", line 1079, in __call__
return func(*args, **kwargs)
File "D:anaconda3libsite-packagescondaclimain.py", line 84, in _main
exit_code = do_call(args, p)
File "D:anaconda3libsite-packagescondacliconda_argparse.py", line 83, in do_call
return getattr(module, func_name)(args, parser)
File "D:anaconda3libsite-packagescondaclimain_create.py", line 41, in execute
install(args, parser, 'create')
File "D:anaconda3libsite-packagescondacliinstall.py", line 261, in install
unlink_link_transaction = solver.solve_for_transaction(
File "D:anaconda3libsite-packagescondacoresolve.py", line 114, in solve_for_transaction
unlink_precs, link_precs = self.solve_for_diff(update_modifier, deps_modifier,
File "D:anaconda3libsite-packagescondacoresolve.py", line 157, in solve_for_diff
final_precs = self.solve_final_state(update_modifier, deps_modifier, prune, ignore_pinned,
File "D:anaconda3libsite-packagescondacoresolve.py", line 262, in solve_final_state
ssc = self._collect_all_metadata(ssc)
File "D:anaconda3libsite-packagescondacommonio.py", line 88, in decorated
return f(*args, **kwds)
File "D:anaconda3libsite-packagescondacoresolve.py", line 425, in _collect_all_metadata
index, r = self._prepare(prepared_specs)
File "D:anaconda3libsite-packagescondacoresolve.py", line 1020, in _prepare
reduced_index = get_reduced_index(self.prefix, self.channels,
File "D:anaconda3libsite-packagescondacoreindex.py", line 276, in get_reduced_index
new_records = SubdirData.query_all(spec, channels=channels, subdirs=subdirs,
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 120, in query_all
result = tuple(concat(executor.map(subdir_query, channel_urls)))
File "D:anaconda3libconcurrentfutures_base.py", line 611, in result_iterator
yield fs.pop().result()
File "D:anaconda3libconcurrentfutures_base.py", line 432, in result
return self.__get_result()
File "D:anaconda3libconcurrentfutures_base.py", line 388, in __get_result
raise self._exception
File "D:anaconda3libconcurrentfuturesthread.py", line 57, in run
result = self.fn(*self.args, **self.kwargs)
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 112, in <lambda>
subdir_query = lambda url: tuple(SubdirData(Channel(url), repodata_fn=repodata_fn).query(
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 125, in query
self.load()
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 189, in load
_internal_state = self._load()
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 277, in _load
_internal_state = self._read_local_repdata(mod_etag_headers.get('_etag'),
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 326, in _read_local_repdata
_internal_state = self._process_raw_repodata_str(raw_repodata_str)
File "D:anaconda3libsite-packagescondacoresubdir_data.py", line 364, in _process_raw_repodata_str
json_obj = json.loads(raw_repodata_str or '{}')
File "D:anaconda3libjson__init__.py", line 357, in loads
return _default_decoder.decode(s)
File "D:anaconda3libjsondecoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "D:anaconda3libjsondecoder.py", line 353, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting ',' delimiter: line 420202 column 26 (char 12681108)
`$ D:anaconda3Scriptsconda-script.py create -n my_env python==3.8`
environment variables:
CIO_TEST=<not set>
CLASSPATH=.;D:Programming EnvironmentJavajava_8libdt.jar;D:Programming
EnvironmentJavajava_8libtools.jar;
CONDA_DEFAULT_ENV=base
CONDA_EXE=D:anaconda3condabin..Scriptsconda.exe
CONDA_EXES="D:anaconda3condabin..Scriptsconda.exe"
CONDA_PREFIX=D:Anaconda3
CONDA_PROMPT_MODIFIER=(base)
CONDA_PYTHON_EXE=D:anaconda3python.exe
CONDA_ROOT=D:anaconda3
CONDA_SHLVL=1
CUDA_PATH=D:Mx-yolov3CUDAv10.0
CURL_CA_BUNDLE=<not set>
HOMEPATH=UsersMSTIFIY
NVTOOLSEXT_PATH=C:Program FilesNVIDIA CorporationNvToolsExt
PATH=D:anaconda3;D:anaconda3Librarymingw-w64bin;D:anaconda3Libraryu
srbin;D:anaconda3Librarybin;D:anaconda3Scripts;D:anaconda3bin;
D:Anaconda3;D:Anaconda3Librarymingw-w64bin;D:Anaconda3Libraryu
srbin;D:Anaconda3Librarybin;D:Anaconda3Scripts;D:Anaconda3bin;
D:anaconda3condabin;D:Mx-yolov3CUDAv10.0bin;D:Mx-yolov3CUDAv10.
0libnvvp;C:ProgramDataOracleJavajavapath;C:WINDOWS;C:WINDOWSsy
stem32;C:WINDOWSSystem32;C:WINDOWSSystem32Wbem;C:WINDOWSSystem3
2WindowsPowerShellv1.0;C:WINDOWSSystem32OpenSSH;D:Lauguage
StudingPythonSpider;C:Program Files
(x86)GoogleChromeApplicationchromedriver;D:Programming
EnvironmentJavajava_8;D:Lauguage
StudingAndroidGitGitcmd;D:Programming EnvironmentTesseract-
OCR;C:Program Files (x86)Windows Kits8.1Windows Performance
Toolkit;C:Program Files (x86)NVIDIA
CorporationPhysXCommon;C:Program FilesNVIDIA CorporationNVIDIA
NvDLISR;D:Lauguage StudingMatlabruntimewin64;D:Lauguage
StudingMatlabbin;D:Lauguage
StudingMatlabpolyspacebin;D:Lauguage
Studingopencv3.4.0opencvbuildx64vc14bin;D:Lauguage Studingrasp
berryputty;C:WINDOWSsystem32;C:WINDOWS;C:WINDOWSSystem32Wbem;C:
WINDOWSSystem32WindowsPowerShellv1.0;C:WINDOWSSystem32OpenSSH;D
:anaconda3envsMx_yolov3Scripts;D:anaconda3envsMx_yolov3;D:Andr
oidSDK;platform-tools;D:AndroidSDK;tools;D:Toolscmake-3.21.2-wind
ows-x86_64bin;C:WINDOWS;C:WINDOWSsystem32;C:WINDOWSSystem32;C:W
INDOWSSystem32Wbem;C:WINDOWSSystem32WindowsPowerShellv1.0;C:WIN
DOWSSystem32OpenSSH;D:Programming
Environmentpython;D:Fiddler;D:Lauguage Studing鐖櫕PyCharm
Community Edition 2019.3.1bin;.;D:Programming
EnvironmentpythonScripts;C:Program Files
(x86)GoogleChromeApplication;D:Programming
EnvironmentJavajava_8bin;D:Programming
EnvironmentJavajava_8jrebin;"D:Programming
EnvironmentJavajava_8bin;D:Mx-yolov3CUDAv10.0bin;D:Mx-yolov3CU
DAv10.0libnvvp;C:ProgramDataOracleJavajavapath;C:WINDOWS;C:WIND
OWSsystem32;C:WINDOWSSystem32;C:WINDOWSSystem32Wbem;C:WINDOWSS
ystem32WindowsPowerShellv1.0;C:WINDOWSSystem32OpenSSH;D:Lauguage
StudingPythonSpider;C:Program Files
(x86)GoogleChromeApplicationchromedriver;D:Programming
EnvironmentJavajava_8;D:Lauguage
StudingAndroidGitGitcmd;D:Programming EnvironmentTesseract-
OCR;C:Program Files (x86)Windows Kits8.1Windows Performance
Toolkit;C:Program Files (x86)NVIDIA
CorporationPhysXCommon;C:Program FilesNVIDIA CorporationNVIDIA
NvDLISR;D:Lauguage StudingMatlabruntimewin64;D:Lauguage
StudingMatlabbin;D:Lauguage
StudingMatlabpolyspacebin;D:Lauguage
Studingopencv3.4.0opencvbuildx64vc14bin;D:Lauguage Studingrasp
berryputty;C:WINDOWSsystem32;C:WINDOWS;C:WINDOWSSystem32Wbem;C:
WINDOWSSystem32WindowsPowerShellv1.0;C:WINDOWSSystem32OpenSSH;D
:anaconda3envsMx_yolov3Scripts;D:anaconda3envsMx_yolov3;D:Andr
oidSDK;platform-tools;D:AndroidSDK;tools;D:Toolscmake-3.21.2-wind
ows-x86_64bin;";"D:AndroidSDK;platform-
tools;D:AndroidSDK;tools鈥嬧€嬧€嬧€嬧€嬧€嬧€?;D:Programming
EnvironmentTesseract-OCR;D:anaconda3;C:UsersMSTIFIYAppDataLocal
MicrosoftWindowsApps;D:Lauguage StudingmiktexMiKTeXmiktexbinx64
PSMODULEPATH=C:Program FilesWindowsPowerShellModules;C:WINDOWSsystem32Windows
PowerShellv1.0Modules
REQUESTS_CA_BUNDLE=<not set>
SSL_CERT_FILE=<not set>
active environment : base
active env location : D:Anaconda3
shell level : 1
user config file : C:UsersMSTIFIY.condarc
populated config files : C:UsersMSTIFIY.condarc
conda version : 4.9.2
conda-build version : 3.18.11
python version : 3.8.3.final.0
virtual packages : __cuda=10.2=0
__win=0=0
__archspec=1=x86_64
base environment : D:anaconda3 (writable)
channel URLs : https://mirrors.ustc.edu.cn/anaconda/pkgs/main/win-64
https://mirrors.ustc.edu.cn/anaconda/pkgs/main/noarch
https://mirrors.ustc.edu.cn/anaconda/pkgs/free/win-64
https://mirrors.ustc.edu.cn/anaconda/pkgs/free/noarch
https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/win-64
https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/noarch
package cache : D:anaconda3pkgs
C:UsersMSTIFIY.condapkgs
C:UsersMSTIFIYAppDataLocalcondacondapkgs
envs directories : D:anaconda3envs
C:UsersMSTIFIY.condaenvs
C:UsersMSTIFIYAppDataLocalcondacondaenvs
platform : win-64
user-agent : conda/4.9.2 requests/2.24.0 CPython/3.8.3 Windows/10 Windows/10.0.19041
administrator : False
netrc file : None
offline mode : False
An unexpected error has occurred. Conda has prepared the above report.
If submitted, this report will be used by core maintainers to improve
future releases of conda.
Would you like conda to send this report to the core maintainers?
[y/N]:
Solution:
Open the .Condarc
file:
channels:
- https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
- https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
- https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
ssl_verify: true
Delete the mirror source of CONDA forge
channels:
- https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
- https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
ssl_verify: true
Create a new environment again. The operation is successful.
To solve Solving environment: failed with initial frozen solve. Retrying with flexible solve You need to install a pip package in an environment so that Just creating a new environment and then activating it will resolve this error.
Contents
- How Solving environment: failed with initial frozen solve. Retrying with flexible solve Error Occurs ?
- Solution 1: Use env
- Solution 2: set channel_priority to false
- Solution 3: downgrade conda
- Solution 4: update conda
- Frequently Asked Questions
- Summary
I am using anaconda and I cannot use conda install command It gives me the following error.
Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: Found conflicts! Looking for incompatible packages. This can take several minutes. Press CTRL-C to abort.
Solution 1: Use env
Just create an env and activate that env and then do the install and your error will be solved. Here is the command line.
To create env Use this command.
conda create --name myenv
Then do Activate env.
conda activate myenv
Now, Your error must be solved.
Solution 2: set channel_priority to false
Just set channel_priority to false.
conda config --set channel_priority false
and my error solved
Solution 3: downgrade conda
Just downgrade conda and Your error will be solved. Just use this command.
conda config --set allow_conda_downgrades true
Then,
conda install conda=4.6.14
Solution 4: update conda
If the above 3 Solutions are not working Then Just try to update your Conda by running this command in your terminal.
conda update --all --yes
Now, Your error must be solved.
Frequently Asked Questions
- How To Solve Solving environment: failed with initial frozen solve. Retrying with flexible solve Error ?
To Solve Solving environment: failed with initial frozen solve. Retrying with flexible solve Error Just create an env and activate that env and then do the install and your error will be solved. Here is commandline. To create env Use this command: conda create –name myenv Then do Activate env: conda activate myenv Now, Your error must be solved. Second solution is Just set channel_priority to false: conda config –set channel_priority false and my error solved.
- Solving environment: failed with initial frozen solve. Retrying with flexible solve
To Solve Solving environment: failed with initial frozen solve. Retrying with flexible solve Error Just create an env and activate that env and then do the install and your error will be solved. Here is commandline. To create env Use this command: conda create –name myenv Then do Activate env: conda activate myenv Now, Your error must be solved. Second solution is Just set channel_priority to false: conda config –set channel_priority false and my error solved.
Summary
Installing conda in a new environment, setting channel_priority to false, and Downgrading conda will resolve this error. Comment below which solution worked for you.
Also, Read
- NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array
- How to Remove Conda environment in Python?
- How to check the Python and Anaconda Version
- CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/a naconda/win-64/repodata.json
Table of Contents
Hide
- What is Solving environment: failed with initial frozen solve. retrying with flexible solve?
- How to fix Solving environment: failed with initial frozen solve. retrying with flexible solve?
- Solution 1: Create a virtual environment using conda
- Solution 2: Set channel_priority to false
- Solution 3: Upgrade conda to the latest version
- Conclusion
The Solving environment: failed with initial frozen solve. retrying with flexible solve occurs if you try to download any package that already exists and it breaks the anaconda environment.
In this tutorial, we will take a look at what is “Solving environment: failed with initial frozen solve. retrying with flexible solve error” and how to resolve this issue.
If we are working on multiple Python projects, the best way to separate concerns of packages or libraries is by creating virtual environments else you will face the below error while installing packages.
(base) [localhost ~]$ conda --version
conda 4.8.2
(base) [localhost ~]$ conda install -c anaconda requests-kerberos
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
In Python, when you install a package, it might warn that the package already exists, and it will modify the package by upgrading or downgrading to the relevant version.
Some of the packages would be dependent on other packages, and it might do the changes by upgrading or downgrading them.
Hence to effectively manage the dependencies, each project should have its own virtual environment, and inside that, the packages should be installed and maintained to avoid conflicts.
How to fix Solving environment: failed with initial frozen solve. retrying with flexible solve?
There are multiple ways to fix the error. Let us take a look at each of these solutions in detail.
Solution 1: Create a virtual environment using conda
It is recommended and best practice to have virtual environments for each project to effectively manage the dependencies and packages.
Follow the steps to create and activate the virtual environment using conda.
Step 1: Create a virtual environment using conda
conda create --name myenv
Step 2: Activate the virtual environment
conda activate myenv
Once you have activated the virtual environment, you can install packages inside the virtual environment and manage the dependencies.
Solution 2: Set channel_priority to false
Conda channels are the locations where packages are stored. They serve as the base for hosting and managing packages.
Add channel_priority: false
to your .condarc
file.
OR
Run the equivalent command:
conda config --set channel_priority false
By setting channel_priority , conda then sorts the packages as follows:
- Sorts the package list from highest to lowest version number.
- Sorts tied packages from highest to lowest channel priority.
- Sorts tied packages from the highest to the lowest build number.
Solution 3: Upgrade conda to the latest version
Another alternative is to upgrade the conda to the latest version by running the below command.
conda update --all --yes
Once the update is finished, you should be able to install the packages successfully.
conda install -c spyder-ide spyder-unittest
Conclusion
If we do not maintain the virtual environments while developing Python projects then you will get Solving environment: failed with initial frozen solve. retrying with flexible solve error while installing the packages and managing the dependencies.
We can resolve this issue by creating a separate virtual environments for each projects using conda and installing the packages inside the virtual environment.
Srinivas Ramakrishna is a Solution Architect and has 14+ Years of Experience in the Software Industry. He has published many articles on Medium, Hackernoon, dev.to and solved many problems in StackOverflow. He has core expertise in various technologies such as Microsoft .NET Core, Python, Node.JS, JavaScript, Cloud (Azure), RDBMS (MSSQL), React, Powershell, etc.
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