1. Problem code
recently when conda installed the software package, the following problems have been occurring. I found a lot of solutions on the Internet but failed to solve my problem. See the link
Collecting package metadata (current_repodata.json): done
Solving environment: failed with current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed
Initial quick solve with frozen env failed. Unfreezing env and trying again.
Solving environment: failed2. Cause found
when I later looked at the error message, it turned out that it was caused by two commands for using conda-forge. The culprit is the second sentence.
conda config --add channels conda-forge
conda config --set channel_priority strict3. Solution
conda config --set channel_priority flexible
Read More:
- CONDA failed to create environment (collecting package metadata（repodata.json): failed)
- Error condahtterror: http 000 connection failed
- Conda HTTP 000 CONNECTION FAILED for url
- Solution: Solving Environment: failed with initial frozen solve. Retrying with flexible solve
- CONDA HTTP error is prompted when Anaconda prompt is installed and updated
- AttributeError: module ‘keras.backend‘ has no attribute ‘eager‘
- CONDA install torch error
- After canceling the startup of Ubuntu terminal, it will automatically enter the base environment of CONDA
- CONDA reports an error: conflict package conflict
- Tensorflow installation and uninstall (Anaconda version)
- RemoveError: ‘requests‘ is a dependency of conda and cannot be removed from conda‘s operating env
- AttributeError: module ‘pkg_resources‘ has no attribute ‘declare_namespace‘
- Solving environment: failed solution to the problem encountered when updating Anaconda
- Error in downloading update creation environment of CONDA: collecting package metadata (current_ repodata.json): failed
- Anaconda builds a new environment and installs sklearn, numpy and other modules
- Condahttpererror: http 000 connection failed for URL problem in CONDA installation package
- CONDA creating virtual environment and common CONDA commands
- (Solved) pytorch error: RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED (install cuda)
- Configuration (9) to solve the problem of “setup tools PIP wheel failed with error code 1”, create virtual environments with Python of anaconda
- CONDA error notwritableerror: the current user does not have write permissions
https://programmerah.com/solve-condas-solving-environment-failed-problem-4018/
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