mamba
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Published
20 hours ago •
mamba-org
mamba-org
Python upgrade fails with ValueError: missing key ... in channel
Troubleshooting docs
- [X] My problem is not solved in the Troubleshooting docs
Anaconda default channels
- [X] I do NOT use the Anaconda default channels (pkgs/* etc.)
How did you install Mamba?
Mambaforge or latest Miniforge
Search tried in issue tracker
#2593
Latest version of Mamba
- [x] My problem is not solved with the latest version
Tried in Conda?
I didn't try
Describe your issue
mamba upgrade python=3.11 -c conda-forge
Looking for: ['python=3.11']
conda-forge/linux-64 (check zst) Checked 0.1s
conda-forge/noarch (check zst) Checked 0.0s
conda-forge/noarch 16.7MB @ 1.4MB/s 11.6s
conda-forge/linux-64 41.0MB @ 1.7MB/s 24.2s
warning libmamba Invalid package cache, file '/home/zhyue/mambaforge/pkgs/tabulate-0.9.0-pyhd8ed1ab_1/site-packages/tabulate/__init__.py' has incorrect size
warning libmamba Invalid package cache, file '/home/zhyue/mambaforge/pkgs/nanobind-1.8.0-pyhd8ed1ab_0/site-packages/nanobind/include/nanobind/nb_class.h' has incorrect size
warning libmamba Invalid package cache, file '/home/zhyue/mambaforge/pkgs/nanobind-1.8.0-pyhd8ed1ab_0/site-packages/nanobind/src/common.cpp' has incorrect size
Transaction
Prefix: /home/zhyue/mambaforge
Updating specs:
- python=3.11
- ca-certificates
- certifi
- openssl
Package Version Build Channel Size
─────────────────────────────────────────────────────────────────────────────────────────────
Install:
─────────────────────────────────────────────────────────────────────────────────────────────
+ libxcrypt 4.4.36 hd590300_1 conda-forge 100kB
+ truststore 0.8.0 pyhd8ed1ab_0 conda-forge 21kB
+ comm 0.2.1 pyhd8ed1ab_0 conda-forge 12kB
Change:
─────────────────────────────────────────────────────────────────────────────────────────────
- pysocks 1.7.1 py39hf3d152e_4 conda-forge 28kB
+ pysocks 1.7.1 pyha2e5f31_6 conda-forge 19kB
- ruamel_yaml 0.15.80 py39h3811e60_1006 conda-forge 274kB
+ ruamel_yaml 0.15.80 py311h459d7ec_1009 conda-forge 326kB
- ruamel.yaml.clib 0.2.7 py39hd1e30aa_2 conda-forge Cached
+ ruamel.yaml.clib 0.2.7 py311h459d7ec_2 conda-forge 134kB
- pybind11-global 2.11.1 py39h7633fee_2 conda-forge Cached
+ pybind11-global 2.11.1 py311h9547e67_2 conda-forge 172kB
- jsonpointer 2.4 py39hf3d152e_3 conda-forge Cached
+ jsonpointer 2.4 py311h38be061_3 conda-forge 18kB
- clarabel 0.6.0 py39ha56439a_1 conda-forge Cached
+ clarabel 0.6.0 py311h7e2346c_1 conda-forge 1MB
- llvmlite 0.41.1 py39h174d805_0 conda-forge Cached
+ llvmlite 0.41.1 py311ha6695c7_0 conda-forge 3MB
- libmambapy 1.5.6 py39h10defb6_0 conda-forge Cached
+ libmambapy 1.5.6 py311hf2555c7_0 conda-forge 304kB
- menuinst 2.0.2 py39hf3d152e_0 conda-forge Cached
+ menuinst 2.0.2 py311h38be061_0 conda-forge 163kB
- numpy 1.26.3 py39h474f0d3_0 conda-forge Cached
+ numpy 1.26.3 py311h64a7726_0 conda-forge 8MB
- psycopg2 2.9.9 py39h89197e3_0 conda-forge Cached
+ psycopg2 2.9.9 py311h03dec38_0 conda-forge 190kB
- pydantic-core 2.14.6 py39h9fdd4d6_1 conda-forge Cached
+ pydantic-core 2.14.6 py311h46250e7_1 conda-forge 2MB
- ruamel.yaml 0.18.5 py39hd1e30aa_0 conda-forge Cached
+ ruamel.yaml 0.18.5 py311h459d7ec_0 conda-forge 277kB
- pybind11 2.11.1 py39h7633fee_2 conda-forge Cached
+ pybind11 2.11.1 py311h9547e67_2 conda-forge 188kB
- scipy 1.12.0 py39h474f0d3_0 conda-forge Cached
+ scipy 1.12.0 py311h64a7726_2 conda-forge 17MB
- numexpr 2.8.8 mkl_py39h5612d84_0 conda-forge Cached
+ numexpr 2.8.8 mkl_py311h570c600_0 conda-forge 161kB
- pyarrow 14.0.2 py39h6925388_2_cpu conda-forge Cached
+ pyarrow 14.0.2 py311h39c9aba_2_cpu conda-forge 5MB
- bottleneck 1.3.7 py39h44dd56e_1 conda-forge Cached
+ bottleneck 1.3.7 py311h1f0f07a_1 conda-forge 143kB
- contourpy 1.2.0 py39h7633fee_0 conda-forge Cached
+ contourpy 1.2.0 py311h9547e67_0 conda-forge 256kB
- numba 0.58.1 py39h615d6bd_0 conda-forge Cached
+ numba 0.58.1 py311h96b013e_0 conda-forge 6MB
- brotlipy 0.7.0 py39h3811e60_1003 conda-forge 350kB
+ brotlipy 0.7.0 py311h459d7ec_1006 conda-forge 320kB
- argon2-cffi-bindings 21.2.0 py39hb9d737c_2 conda-forge 35kB
+ argon2-cffi-bindings 21.2.0 py311h459d7ec_4 conda-forge 35kB
- zstandard 0.22.0 py39h6e5214e_0 conda-forge Cached
+ zstandard 0.22.0 py311haa97af0_0 conda-forge 415kB
- qdldl-python 0.1.5.post2 py39h4661b88_0 conda-forge 107kB
+ qdldl-python 0.1.5.post2 py311h320fe9a_1 conda-forge 107kB
- cvxpy-base 1.4.2 py39hddac248_0 conda-forge Cached
+ cvxpy-base 1.4.2 py311h320fe9a_0 conda-forge 1MB
- scikit-learn 1.4.0 py39ha22ef79_0 conda-forge Cached
+ scikit-learn 1.4.0 py311hc009520_0 conda-forge 10MB
- pytables 3.9.2 py39hfbd31a7_1 conda-forge Cached
+ pytables 3.9.2 py311h10c7f7f_1 conda-forge 2MB
- matplotlib-base 3.8.2 py39he9076e7_0 conda-forge Cached
+ matplotlib-base 3.8.2 py311h54ef318_0 conda-forge 8MB
- osqp 0.6.3 py39hddac248_2 conda-forge Cached
+ osqp 0.6.3 py311h320fe9a_2 conda-forge 140kB
- cvxpy 1.4.2 py39hf3d152e_0 conda-forge 126kB
+ cvxpy 1.4.2 py311h38be061_0 conda-forge 126kB
- conda 23.11.0 py39hf3d152e_1 conda-forge Cached
+ conda 23.11.0 py311h38be061_1 conda-forge 1MB
- mamba 1.5.6 py39hc5d2bb1_0 conda-forge Cached
+ mamba 1.5.6 py311h3072747_0 conda-forge 66kB
Reinstall:
─────────────────────────────────────────────────────────────────────────────────────────────
o wheel 0.37.1 pyhd8ed1ab_0 conda-forge 32kB
o pip 22.0.4 pyhd8ed1ab_0 conda-forge 2MB
o zipp 3.8.0 pyhd8ed1ab_0 conda-forge 12kB
o webencodings 0.5.1 py_1 conda-forge 12kB
o typing_extensions 4.9.0 pyha770c72_0 conda-forge Cached
o toolz 0.12.0 pyhd8ed1ab_0 conda-forge 49kB
o tomli 2.0.1 pyhd8ed1ab_0 conda-forge 16kB
o threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge 18kB
o tabulate 0.9.0 pyhd8ed1ab_1 conda-forge Cached
o soupsieve 2.3.1 pyhd8ed1ab_0 conda-forge 34kB
o sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge Cached
o six 1.16.0 pyh6c4a22f_0 conda-forge 14kB
o send2trash 1.8.0 pyhd8ed1ab_0 conda-forge 18kB
o pytz 2022.1 pyhd8ed1ab_0 conda-forge 248kB
o python-tzdata 2023.4 pyhd8ed1ab_0 conda-forge Cached
o python-fastjsonschema 2.15.3 pyhd8ed1ab_0 conda-forge 249kB
o pyparsing 3.0.8 pyhd8ed1ab_0 conda-forge 81kB
o pygments 2.12.0 pyhd8ed1ab_0 conda-forge 837kB
o pycparser 2.21 pyhd8ed1ab_0 conda-forge 103kB
o pybind11-stubgen 2.3.6 pyhd8ed1ab_0 conda-forge Cached
o py-cpuinfo 9.0.0 pyhd8ed1ab_0 conda-forge Cached
o pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge 15kB
o ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge 17kB
o prometheus_client 0.14.1 pyhd8ed1ab_0 conda-forge 50kB
o pluggy 1.3.0 pyhd8ed1ab_0 conda-forge Cached
o platformdirs 4.1.0 pyhd8ed1ab_0 conda-forge Cached
o pickleshare 0.7.5 py_1003 conda-forge 9kB
o parso 0.8.3 pyhd8ed1ab_0 conda-forge 71kB
o pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge 12kB
o packaging 23.2 pyhd8ed1ab_0 conda-forge Cached
o nest-asyncio 1.5.5 pyhd8ed1ab_0 conda-forge 9kB
o natsort 8.2.0 pyhd8ed1ab_0 conda-forge 36kB
o nanobind 1.8.0 pyhd8ed1ab_0 conda-forge Cached
o munkres 1.1.4 pyh9f0ad1d_0 conda-forge 12kB
o json5 0.9.5 pyh9f0ad1d_0 conda-forge 21kB
o joblib 1.3.2 pyhd8ed1ab_0 conda-forge Cached
o ipython_genutils 0.2.0 py_1 conda-forge 22kB
o idna 3.3 pyhd8ed1ab_0 conda-forge 56kB
o flit-core 3.7.1 pyhd8ed1ab_0 conda-forge 45kB
o executing 0.8.3 pyhd8ed1ab_0 conda-forge 19kB
o exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge Cached
o entrypoints 0.4 pyhd8ed1ab_0 conda-forge 9kB
o distro 1.9.0 pyhd8ed1ab_0 conda-forge Cached
o dill 0.3.5.1 pyhd8ed1ab_0 conda-forge 73kB
o defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge 24kB
o decorator 5.1.1 pyhd8ed1ab_0 conda-forge 12kB
o cycler 0.11.0 pyhd8ed1ab_0 conda-forge 10kB
o colorama 0.4.4 pyh9f0ad1d_0 conda-forge 18kB
o charset-normalizer 2.0.12 pyhd8ed1ab_0 conda-forge 36kB
o certifi 2023.11.17 pyhd8ed1ab_0 conda-forge Cached
o boltons 23.1.1 pyhd8ed1ab_0 conda-forge Cached
o backports 1.0 py_2 conda-forge 4kB
o backcall 0.2.0 pyh9f0ad1d_0 conda-forge 14kB
o attrs 21.4.0 pyhd8ed1ab_0 conda-forge 50kB
o archspec 0.2.2 pyhd8ed1ab_0 conda-forge Cached
o importlib_resources 5.7.1 pyhd8ed1ab_0 conda-forge 22kB
o tinycss2 1.1.1 pyhd8ed1ab_0 conda-forge 23kB
o typing-extensions 4.9.0 hd8ed1ab_0 conda-forge 10kB
o beautifulsoup4 4.11.1 pyha770c72_0 conda-forge 98kB
o python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge 246kB
o asttokens 2.0.5 pyhd8ed1ab_0 conda-forge 22kB
o babel 2.9.1 pyh44b312d_0 conda-forge 6MB
o jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge 17kB
o pexpect 4.8.0 pyh9f0ad1d_2 conda-forge 48kB
o bleach 5.0.0 pyhd8ed1ab_0 conda-forge 126kB
o tqdm 4.66.1 pyhd8ed1ab_0 conda-forge Cached
o backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge 9kB
o matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge 11kB
o anyio 3.7.1 pyhd8ed1ab_0 conda-forge Cached
o importlib-resources 5.7.1 pyhd8ed1ab_1 conda-forge 4kB
o annotated-types 0.6.0 pyhd8ed1ab_0 conda-forge Cached
o stack_data 0.2.0 pyhd8ed1ab_0 conda-forge 22kB
o wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge 34kB
o starlette 0.35.0 pyhd8ed1ab_0 conda-forge Cached
o ipdb 0.13.9 pyhd8ed1ab_0 conda-forge 16kB
o jsonschema 4.4.0 pyhd8ed1ab_0 conda-forge 58kB
o jinja2 3.1.1 pyhd8ed1ab_0 conda-forge 101kB
o jsonpatch 1.33 pyhd8ed1ab_0 conda-forge Cached
o pgcopy 1.5.0 pyh44b312d_0 conda-forge 15kB
o jupyter_client 7.3.0 pyhd8ed1ab_0 conda-forge 93kB
o pydantic 2.5.3 pyhd8ed1ab_0 conda-forge Cached
o patsy 0.5.2 pyhd8ed1ab_0 conda-forge 193kB
o xarray 2022.9.0 pyhd8ed1ab_0 conda-forge 721kB
o argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge 16kB
o conda-package-streaming 0.9.0 pyhd8ed1ab_0 conda-forge Cached
o seaborn-base 0.13.1 pyhd8ed1ab_0 conda-forge Cached
o mplfinance 0.12.9b7 pyhd8ed1ab_0 conda-forge Cached
o nbformat 5.4.0 pyhd8ed1ab_0 conda-forge 106kB
o fastapi 0.109.0 pyhd8ed1ab_0 conda-forge Cached
o urllib3 1.26.9 pyhd8ed1ab_0 conda-forge 103kB
o conda-package-handling 2.2.0 pyh38be061_0 conda-forge Cached
o nbclient 0.6.2 pyhd8ed1ab_0 conda-forge 66kB
o requests 2.31.0 pyhd8ed1ab_0 conda-forge Cached
o pandas-datareader 0.10.0 pyh6c4a22f_0 conda-forge 72kB
o download 0.3.5 pyhd8ed1ab_0 conda-forge 12kB
o jupyter_server 1.17.0 pyhd8ed1ab_0 conda-forge 244kB
o empyrical 0.5.5 pyh9f0ad1d_0 conda-forge 39kB
o libsvmdata 0.4.1 pyhd8ed1ab_0 conda-forge 11kB
o notebook-shim 0.1.0 pyhd8ed1ab_0 conda-forge 15kB
o jupyterlab_server 2.13.0 pyhd8ed1ab_1 conda-forge 50kB
o notebook 6.4.11 pyha770c72_0 conda-forge 7MB
o nbclassic 0.3.7 pyhd8ed1ab_0 conda-forge 15kB
o jupyterlab 3.4.0 pyhd8ed1ab_0 conda-forge 6MB
o seaborn 0.13.1 hd8ed1ab_0 conda-forge 7kB
o conda-libmamba-solver 23.12.0 pyhd8ed1ab_0 conda-forge Cached
Upgrade:
─────────────────────────────────────────────────────────────────────────────────────────────
- libnsl 2.0.0 h7f98852_0 conda-forge 31kB
+ libnsl 2.0.1 hd590300_0 conda-forge 33kB
- libsqlite 3.39.4 h753d276_0 conda-forge 822kB
+ libsqlite 3.44.2 h2797004_0 conda-forge 846kB
- libuuid 2.32.1 h7f98852_1000 conda-forge 28kB
+ libuuid 2.38.1 h0b41bf4_0 conda-forge 34kB
- readline 8.1.2 h0f457ee_0 conda-forge 298kB
+ readline 8.2 h8228510_1 conda-forge 281kB
- ca-certificates 2023.11.17 hbcca054_0 conda-forge Cached
+ ca-certificates 2024.2.2 hbcca054_0 conda-forge 155kB
- libwebp-base 1.2.2 h7f98852_1 conda-forge 844kB
+ libwebp-base 1.2.4 h166bdaf_0 conda-forge 413kB
- python_abi 3.9 2_cp39 conda-forge 4kB
+ python_abi 3.11 4_cp311 conda-forge 6kB
- sqlite 3.39.4 h4ff8645_0 conda-forge 807kB
+ sqlite 3.44.2 h2c6b66d_0 conda-forge 836kB
- openssl 3.2.0 hd590300_1 conda-forge Cached
+ openssl 3.2.1 hd590300_0 conda-forge 3MB
- libtiff 4.3.0 h542a066_3 conda-forge 653kB
+ libtiff 4.4.0 h0fcbabc_0 conda-forge 621kB
- python 3.9.13 h2660328_0_cpython conda-forge 28MB
+ python 3.11.7 hab00c5b_1_cpython conda-forge 31MB
- openjpeg 2.4.0 hb52868f_1 conda-forge 455kB
+ openjpeg 2.5.0 h7d73246_1 conda-forge 546kB
- libwebp 1.2.2 h3452ae3_0 conda-forge 87kB
+ libwebp 1.2.4 h522a892_0 conda-forge 90kB
- setuptools 60.10.0 py39hf3d152e_0 conda-forge 1MB
+ setuptools 69.0.3 pyhd8ed1ab_0 conda-forge 471kB
- mistune 0.8.4 py39h3811e60_1005 conda-forge 56kB
+ mistune 3.0.2 pyhd8ed1ab_0 conda-forge 66kB
- jupyterlab_widgets 1.1.0 pyhd8ed1ab_0 conda-forge 136kB
+ jupyterlab_widgets 3.0.9 pyhd8ed1ab_0 conda-forge 187kB
- traitlets 5.1.1 pyhd8ed1ab_0 conda-forge 84kB
+ traitlets 5.14.1 pyhd8ed1ab_0 conda-forge 110kB
- sniffio 1.2.0 py39hf3d152e_3 conda-forge 16kB
+ sniffio 1.3.0 pyhd8ed1ab_0 conda-forge 14kB
- importlib-metadata 4.11.3 py39hf3d152e_1 conda-forge 34kB
+ importlib-metadata 7.0.1 pyha770c72_0 conda-forge 26kB
- jedi 0.18.1 py39hf3d152e_1 conda-forge 1MB
+ jedi 0.19.1 pyhd8ed1ab_0 conda-forge 841kB
- importlib_metadata 4.11.3 hd8ed1ab_1 conda-forge 4kB
+ importlib_metadata 7.0.1 hd8ed1ab_0 conda-forge 10kB
- prompt-toolkit 3.0.29 pyha770c72_0 conda-forge 258kB
+ prompt-toolkit 3.0.42 pyha770c72_0 conda-forge 270kB
- ipython 8.3.0 py39hf3d152e_0 conda-forge 1MB
+ ipython 8.21.0 pyh707e725_0 conda-forge 592kB
- tornado 6.1 py39hb9d737c_3 conda-forge 665kB
+ tornado 6.3.3 py311h459d7ec_1 conda-forge 844kB
- pyzmq 22.3.0 py39headdf64_2 conda-forge 528kB
+ pyzmq 25.1.1 py311h75c88c4_1 conda-forge 539kB
- pyyaml 6.0 py39hb9d737c_5 conda-forge Cached
+ pyyaml 6.0.1 py311h459d7ec_1 conda-forge 201kB
- pyrsistent 0.18.1 py39hb9d737c_1 conda-forge 94kB
+ pyrsistent 0.20.0 py311h459d7ec_0 conda-forge 125kB
- pycosat 0.6.3 py39h3811e60_1009 conda-forge 110kB
+ pycosat 0.6.6 py311h459d7ec_0 conda-forge 88kB
- psutil 5.9.0 py39hb9d737c_1 conda-forge 352kB
+ psutil 5.9.8 py311h459d7ec_0 conda-forge 506kB
- mercurial 6.3.1 py39h4ef89ea_0 conda-forge Cached
+ mercurial 6.6.2 py311h46250e7_0 conda-forge 8MB
- markupsafe 2.1.1 py39hb9d737c_1 conda-forge 23kB
+ markupsafe 2.1.5 py311h459d7ec_0 conda-forge 28kB
- lxml 4.9.1 py39hb9d737c_0 conda-forge Cached
+ lxml 4.9.3 py311h1a07684_3 conda-forge 1MB
- pillow 9.1.0 py39hae2aec6_2 conda-forge 47MB
+ pillow 9.2.0 py311h9461556_3 conda-forge 48MB
- kiwisolver 1.4.2 py39hf939315_1 conda-forge 77kB
+ kiwisolver 1.4.5 py311h9547e67_1 conda-forge 73kB
- unicodedata2 14.0.0 py39hb9d737c_1 conda-forge 510kB
+ unicodedata2 15.1.0 py311h459d7ec_0 conda-forge 376kB
- debugpy 1.6.0 py39h5a03fae_0 conda-forge 2MB
+ debugpy 1.8.0 py311hb755f60_1 conda-forge 3MB
- cython 0.29.32 py39h5a03fae_0 conda-forge 2MB
+ cython 3.0.8 py311hb755f60_0 conda-forge 4MB
- cffi 1.15.0 py39h4bc2ebd_0 conda-forge 233kB
+ cffi 1.16.0 py311hb3a22ac_0 conda-forge 300kB
- multiprocess 0.70.13 py39hb9d737c_1 conda-forge 219kB
+ multiprocess 0.70.14 py311hd4cff14_2 conda-forge 320kB
- jupyter_core 4.9.2 py39hf3d152e_0 conda-forge 83kB
+ jupyter_core 5.7.1 py311h38be061_0 conda-forge 95kB
- fonttools 4.33.3 py39hb9d737c_0 conda-forge 2MB
+ fonttools 4.47.2 py311h459d7ec_0 conda-forge 3MB
- pandas 2.1.4 py39hddac248_0 conda-forge Cached
+ pandas 2.2.0 py311h320fe9a_0 conda-forge 16MB
- cryptography 38.0.3 py39h3ccb8fc_0 conda-forge 2MB
+ cryptography 42.0.2 py311hcb13ee4_0 conda-forge 2MB
- scs 3.2.0 py39hbcdb44f_2 conda-forge 98kB
+ scs 3.2.4.post1 py311h29a9e0d_0 conda-forge 80kB
- ecos 2.0.10 py39h2ae25f5_2 conda-forge 86kB
+ ecos 2.0.11 py311h1f0f07a_1 conda-forge 97kB
- terminado 0.13.3 py39hf3d152e_1 conda-forge 27kB
+ terminado 0.18.0 pyh0d859eb_0 conda-forge 22kB
- pyopenssl 23.2.0 pyhd8ed1ab_1 conda-forge Cached
+ pyopenssl 24.0.0 pyhd8ed1ab_0 conda-forge 127kB
- ipykernel 6.13.0 py39hef51801_0 conda-forge 190kB
+ ipykernel 6.29.0 pyhd33586a_0 conda-forge 118kB
- nbconvert-core 6.5.0 pyhd8ed1ab_0 conda-forge 435kB
+ nbconvert-core 7.14.2 pyhd8ed1ab_0 conda-forge 188kB
- nbconvert-pandoc 6.5.0 pyhd8ed1ab_0 conda-forge 5kB
+ nbconvert-pandoc 7.14.2 pyhd8ed1ab_0 conda-forge 8kB
- nbconvert 6.5.0 pyhd8ed1ab_0 conda-forge 6kB
+ nbconvert 7.14.2 pyhd8ed1ab_0 conda-forge 8kB
- widgetsnbextension 3.6.0 py39hf3d152e_0 conda-forge 1MB
+ widgetsnbextension 4.0.9 pyhd8ed1ab_0 conda-forge 886kB
- ipywidgets 7.7.0 pyhd8ed1ab_0 conda-forge 106kB
+ ipywidgets 8.1.1 pyhd8ed1ab_0 conda-forge 114kB
- statsmodels 0.13.2 py39hce5d2b2_0 conda-forge 12MB
+ statsmodels 0.14.0 py311h1f0f07a_3 conda-forge 12MB
- celer 0.7.2 py39hac2352c_0 conda-forge 777kB
+ celer 0.7.3 py311h92ebd52_1 conda-forge 647kB
Summary:
Install: 3 packages
Change: 32 packages
Reinstall: 105 packages
Upgrade: 55 packages
Total download: 236MB
─────────────────────────────────────────────────────────────────────────────────────────────
Confirm changes: [Y/n] Y
libnsl 33.4kB @ 256.0kB/s 0.1s
libuuid 33.6kB @ 221.5kB/s 0.2s
ca-certificates 155.4kB @ 815.5kB/s 0.2s
readline 281.5kB @ 1.3MB/s 0.2s
libwebp 89.6kB @ 376.9kB/s 0.1s
toolz 49.1kB @ 187.8kB/s 0.0s
libsqlite 845.8kB @ 3.0MB/s 0.3s
soupsieve 34.0kB @ 119.5kB/s 0.0s
libtiff 620.8kB @ 1.8MB/s 0.2s
pygments 836.9kB @ 2.5MB/s 0.1s
parso 71.0kB @ 186.3kB/s 0.0s
pandocfilters 11.6kB @ 30.5kB/s 0.0s
ipython_genutils 21.6kB @ 48.8kB/s 0.1s
defusedxml 24.1kB @ 51.2kB/s 0.0s
idna 56.1kB @ 46.0kB/s 0.8s
truststore 20.7kB @ 15.6kB/s 0.1s
importlib-metadata 26.4kB @ 19.5kB/s 0.0s
pytz 247.9kB @ 179.4kB/s 1.1s
pycparser 102.7kB @ 72.5kB/s 1.1s
beautifulsoup4 98.3kB @ 68.1kB/s 0.1s
matplotlib-inline 11.2kB @ 7.6kB/s 0.0s
colorama 18.0kB @ 12.0kB/s 1.0s
stack_data 22.0kB @ 14.7kB/s 0.0s
ruamel_yaml 325.7kB @ 207.1kB/s 0.1s
pyrsistent 124.8kB @ 77.8kB/s 0.0s
pip 1.6MB @ 415.8kB/s 3.7s
jedi 841.3kB @ 190.4kB/s 3.0s
ipython 592.1kB @ 103.5kB/s 4.2s
debugpy 3.0MB @ 153.9kB/s 15.1s
babel 6.5MB @ 232.1kB/s 26.5s
multiprocess 320.2kB @ 11.3kB/s 0.5s
ruamel.yaml 277.1kB @ 9.6kB/s 0.5s
llvmlite 3.2MB @ 110.1kB/s 23.7s
mercurial 8.1MB @ 231.3kB/s 33.3s
pyarrow 4.5MB @ 107.5kB/s 12.6s
argon2-cffi-bindings 35.0kB @ 828.0 B/s 0.2s
qdldl-python 106.6kB @ 2.5kB/s 0.3s
numpy 8.2MB @ 185.5kB/s 24.6s
osqp 139.9kB @ 3.1kB/s 0.5s
jsonschema 58.4kB @ 1.3kB/s 0.2s
jupyter_client 92.6kB @ 2.1kB/s 0.3s
pyopenssl 127.1kB @ 2.8kB/s 0.4s
ipykernel 118.2kB @ 2.6kB/s 0.4s
nbconvert-core 187.9kB @ 4.0kB/s 0.6s
jupyter_server 243.7kB @ 5.2kB/s 0.7s
libsvmdata 10.8kB @ 229.0 B/s 0.1s
nbconvert 8.5kB @ 179.0 B/s 0.1s
numba 5.7MB @ 115.6kB/s 14.3s
widgetsnbextension 886.0kB @ 17.9kB/s 2.3s
celer 647.5kB @ 12.6kB/s 1.6s
python_abi 6.4kB @ 124.0 B/s 0.1s
pillow 47.7MB @ 875.5kB/s 50.6s
wheel 32.0kB @ 577.0 B/s 1.0s
tomli 15.9kB @ 285.0 B/s 0.3s
python-fastjsonschema 248.8kB @ 4.4kB/s 0.5s
scipy 17.3MB @ 306.4kB/s 27.5s
ptyprocess 16.5kB @ 293.0 B/s 0.1s
nest-asyncio 9.5kB @ 167.0 B/s 0.1s
json5 20.9kB @ 370.0 B/s 0.1s
entrypoints 9.2kB @ 162.0 B/s 0.1s
cycler 10.3kB @ 182.0 B/s 0.1s
backcall 13.7kB @ 241.0 B/s 0.1s
jupyterlab_widgets 186.8kB @ 3.3kB/s 0.2s
sniffio 14.4kB @ 252.0 B/s 0.2s
typing-extensions 10.2kB @ 179.0 B/s 0.1s
jupyterlab_pygments 17.4kB @ 305.0 B/s 0.1s
backports.functools_lru_cache 9.0kB @ 158.0 B/s 0.1s
importlib_metadata 9.6kB @ 167.0 B/s 0.1s
ipdb 15.5kB @ 272.0 B/s 0.1s
pybind11-global 172.3kB @ 3.0kB/s 0.2s
lxml 1.4MB @ 24.6kB/s 1.5s
openssl 2.9MB @ 48.7kB/s 7.5s
unicodedata2 375.6kB @ 6.3kB/s 0.5s
pyzmq 539.2kB @ 9.1kB/s 2.3s
cffi 300.2kB @ 5.0kB/s 0.4s
libmambapy 304.3kB @ 5.1kB/s 0.9s
numexpr 161.3kB @ 2.7kB/s 0.3s
scikit-learn 10.3MB @ 172.2kB/s 17.4s
pybind11 188.3kB @ 3.1kB/s 0.7s
scs 80.0kB @ 1.3kB/s 0.1s
terminado 22.4kB @ 372.0 B/s 0.1s
patsy 193.0kB @ 3.2kB/s 0.2s
nbformat 106.3kB @ 1.8kB/s 0.3s
empyrical 39.2kB @ 640.0 B/s 0.9s
pandas-datareader 72.4kB @ 1.2kB/s 1.3s
mamba 66.4kB @ 1.1kB/s 0.7s
pytables 1.6MB @ 25.4kB/s 3.1s
zipp 12.0kB @ 190.0 B/s 0.2s
six 14.3kB @ 217.0 B/s 2.4s
cryptography 2.0MB @ 31.1kB/s 6.1s
munkres 12.5kB @ 187.0 B/s 0.6s
decorator 12.1kB @ 181.0 B/s 0.2s
prometheus_client 50.2kB @ 748.0 B/s 1.4s
pysocks 19.0kB @ 282.0 B/s 0.3s
attrs 50.0kB @ 734.0 B/s 1.4s
bleach 126.0kB @ 1.8kB/s 0.4s
jupyterlab 6.2MB @ 90.7kB/s 7.4s
pyyaml 200.6kB @ 2.9kB/s 0.3s
markupsafe 27.5kB @ 398.0 B/s 0.2s
prompt-toolkit 270.4kB @ 3.9kB/s 0.7s
psycopg2 189.7kB @ 2.7kB/s 1.0s
python-dateutil 246.0kB @ 3.5kB/s 2.7s
contourpy 255.8kB @ 3.5kB/s 2.8s
cython 3.7MB @ 49.3kB/s 6.9s
jinja2 101.0kB @ 1.3kB/s 0.3s
argon2-cffi 15.7kB @ 205.0 B/s 0.2s
download 12.2kB @ 159.0 B/s 0.2s
fonttools 2.8MB @ 37.0kB/s 6.7s
jupyterlab_server 49.9kB @ 649.0 B/s 0.2s
ipywidgets 114.2kB @ 1.5kB/s 0.5s
cvxpy-base 1.5MB @ 19.1kB/s 5.1s
libwebp-base 413.4kB @ 5.3kB/s 1.0s
pure_eval 14.6kB @ 186.0 B/s 0.2s
threadpoolctl 18.3kB @ 233.0 B/s 0.2s
flit-core 45.2kB @ 576.0 B/s 0.2s
openjpeg 546.2kB @ 6.9kB/s 1.4s
traitlets 110.3kB @ 1.4kB/s 0.3s
importlib-resources 4.1kB @ 51.0 B/s 0.0s
asttokens 21.6kB @ 274.0 B/s 0.2s
ruamel.yaml.clib 134.3kB @ 1.7kB/s 0.2s
kiwisolver 73.3kB @ 927.0 B/s 0.2s
menuinst 162.6kB @ 2.1kB/s 0.2s
ecos 97.1kB @ 1.2kB/s 0.2s
pgcopy 14.9kB @ 188.0 B/s 0.1s
charset-normalizer 35.5kB @ 446.0 B/s 1.5s
nbclient 66.0kB @ 829.0 B/s 0.2s
seaborn 6.9kB @ 86.0 B/s 0.1s
setuptools 470.5kB @ 5.7kB/s 2.7s
pickleshare 9.3kB @ 112.0 B/s 0.2s
notebook 6.6MB @ 78.1kB/s 5.2s
importlib_resources 22.3kB @ 262.0 B/s 0.0s
comm 12.2kB @ 143.0 B/s 0.0s
pycosat 88.1kB @ 1.0kB/s 0.1s
dill 73.0kB @ 858.0 B/s 2.4s
bottleneck 142.6kB @ 1.7kB/s 0.4s
clarabel 1.1MB @ 13.1kB/s 0.9s
urllib3 102.6kB @ 1.2kB/s 1.1s
statsmodels 12.1MB @ 137.7kB/s 38.6s
send2trash 17.5kB @ 199.0 B/s 0.2s
conda 1.3MB @ 14.4kB/s 1.4s
tinycss2 23.1kB @ 260.0 B/s 0.1s
executing 18.5kB @ 208.0 B/s 0.9s
tornado 843.7kB @ 9.5kB/s 0.6s
zstandard 415.4kB @ 4.7kB/s 0.3s
nbconvert-pandoc 7.5kB @ 84.0 B/s 0.1s
jupyter_core 94.7kB @ 1.1kB/s 0.6s
libxcrypt 100.4kB @ 1.1kB/s 0.1s
mistune 66.0kB @ 736.0 B/s 0.2s
pyparsing 81.3kB @ 905.0 B/s 0.3s
psutil 505.5kB @ 5.6kB/s 0.6s
notebook-shim 15.0kB @ 165.0 B/s 0.1s
webencodings 11.9kB @ 131.0 B/s 0.1s
brotlipy 319.5kB @ 3.5kB/s 1.0s
pexpect 47.7kB @ 525.0 B/s 0.2s
nbclassic 14.7kB @ 161.0 B/s 0.1s
backports 3.6kB @ 39.0 B/s 0.1s
cvxpy 126.0kB @ 1.4kB/s 0.2s
natsort 36.4kB @ 398.0 B/s 0.2s
xarray 720.9kB @ 7.8kB/s 1.1s
jsonpointer 18.4kB @ 198.0 B/s 0.1s
sqlite 836.4kB @ 8.9kB/s 1.5s
wcwidth 34.1kB @ 361.0 B/s 0.1s
pydantic-core 1.6MB @ 17.0kB/s 3.7s
matplotlib-base 7.9MB @ 82.2kB/s 11.1s
pandas 15.7MB @ 154.6kB/s 22.8s
python 30.8MB @ 294.7kB/s 42.4s
missing key https://conda.anaconda.org/conda-forge/noarch in channels: {'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64': {'platform': 'linux-64', 'url': 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64', 'channel': conda-forge[linux-64,noarch], 'needs_finalising': True}, 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch': {'platform': 'noarch', 'url': 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch', 'channel': conda-forge[linux-64,noarch], 'needs_finalising': True}}
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/conda/exception_handler.py", line 17, in __call__
return func(*args, **kwargs)
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/mamba.py", line 959, in exception_converter
raise e
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/mamba.py", line 952, in exception_converter
exit_code = _wrapped_main(*args, **kwargs)
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/mamba.py", line 898, in _wrapped_main
result = do_call(parsed_args, p)
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/mamba.py", line 769, in do_call
exit_code = update(args, parser)
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/mamba.py", line 618, in update
return install(args, parser, "update")
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/mamba.py", line 560, in install
conda_transaction = to_txn(
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/utils.py", line 447, in to_txn
final_precs = compute_final_precs(
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/utils.py", line 393, in compute_final_precs
raise ValueError("missing key {} in channels: {}".format(key, lookup_dict))
ValueError: missing key https://conda.anaconda.org/conda-forge/noarch in channels: {'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64': {'platform': 'linux-64', 'url': 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64', 'channel': conda-forge[linux-64,noarch], 'needs_finalising': True}, 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch': {'platform': 'noarch', 'url': 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch', 'channel': conda-forge[linux-64,noarch], 'needs_finalising': True}}
`$ /home/zhyue/mambaforge/bin/mamba upgrade python=3.11 -c conda-forge`
environment variables:
CAML_LD_LIBRARY_PATH=/home/zhyue/.opam/default/lib/stublibs:/home/zhyue/.opam/default/lib/o
caml/stublibs:/home/zhyue/.opam/default/lib/ocaml
CIO_TEST=<not set>
CONDA_DEFAULT_ENV=base
CONDA_EXE=/home/zhyue/mambaforge/bin/conda
CONDA_MKL_INTERFACE_LAYER_BACKUP=
CONDA_PREFIX=/home/zhyue/mambaforge
CONDA_PROMPT_MODIFIER=(base)
CONDA_PYTHONBREAKPOINT=
CONDA_PYTHON_EXE=/home/zhyue/mambaforge/bin/python
CONDA_ROOT=/home/zhyue/mambaforge
CONDA_SHLVL=1
CURL_CA_BUNDLE=<not set>
LD_PRELOAD=<not set>
MANPATH=:/home/zhyue/.opam/default/man
OCAML_TOPLEVEL_PATH=/home/zhyue/.opam/default/lib/toplevel
PATH=/home/zhyue/.opam/default/bin:/home/zhyue/mambaforge/bin:/usr/local/bi
n:/usr/bin:/bin:/usr/local/games:/usr/games
PYTHONBREAKPOINT=ipdb.set_trace
PYTHONPATH=:/home/zhyue:/home/zhyue
REQUESTS_CA_BUNDLE=<not set>
SSL_CERT_FILE=<not set>
WEBAUTHN_PROXY_CONFIGPATH=/home/zhyue/.config/webauthn_proxy
active environment : base
active env location : /home/zhyue/mambaforge
shell level : 1
user config file : /home/zhyue/.condarc
populated config files : /home/zhyue/mambaforge/.condarc
/home/zhyue/.condarc
conda version : 23.11.0
conda-build version : not installed
python version : 3.9.13.final.0
solver : libmamba (default)
virtual packages : __archspec=1=zen2
__conda=23.11.0=0
__cuda=12.0=0
__glibc=2.31=0
__linux=6.0.0=0
__unix=0=0
base environment : /home/zhyue/mambaforge (writable)
conda av data dir : /home/zhyue/mambaforge/etc/conda
conda av metadata url : None
channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch
package cache : /home/zhyue/mambaforge/pkgs
/home/zhyue/.conda/pkgs
envs directories : /home/zhyue/mambaforge/envs
/home/zhyue/.conda/envs
platform : linux-64
user-agent : conda/23.11.0 requests/2.31.0 CPython/3.9.13 Linux/6.0.0-0.deb11.6-amd64 debian/11.6 glibc/2.31 solver/libmamba conda-libmamba-solver/23.12.0 libmambapy/1.5.6
UID:GID : 1000:1000
netrc file : None
offline mode : False
An unexpected error has occurred. Conda has prepared the above report.
If you suspect this error is being caused by a malfunctioning plugin,
consider using the --no-plugins option to turn off plugins.
Example: conda --no-plugins install <package>
Alternatively, you can set the CONDA_NO_PLUGINS environment variable on
the command line to run the command without plugins enabled.
Example: CONDA_NO_PLUGINS=true conda install <package>
After that, I rolled back the mamba version from 1.5.6 to 1.2.0, and this upgrade was successfully completed. Maybe this is a bug introduced in newer versions.
mamba info / micromamba info
mamba version : 1.5.6
active environment : base
active env location : /home/zhyue/mambaforge
shell level : 1
user config file : /home/zhyue/.condarc
populated config files : /home/zhyue/mambaforge/.condarc
/home/zhyue/.condarc
conda version : 23.11.0
conda-build version : not installed
python version : 3.11.7.final.0
solver : libmamba (default)
virtual packages : __archspec=1=zen2
__conda=23.11.0=0
__cuda=12.0=0
__glibc=2.31=0
__linux=6.0.0=0
__unix=0=0
base environment : /home/zhyue/mambaforge (writable)
conda av data dir : /home/zhyue/mambaforge/etc/conda
conda av metadata url : None
channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch
package cache : /home/zhyue/mambaforge/pkgs
/home/zhyue/.conda/pkgs
envs directories : /home/zhyue/mambaforge/envs
/home/zhyue/.conda/envs
platform : linux-64
user-agent : conda/23.11.0 requests/2.31.0 CPython/3.11.7 Linux/6.0.0-0.deb11.6-amd64 debian/11.6 glibc/2.31 solver/libmamba conda-libmamba-solver/24.1.0 libmambapy/1.5.6
UID:GID : 1000:1000
netrc file : None
offline mode : False
Logs
too long
environment.yml
No response
~/.condarc
channels:
- conda-forge
show_channel_urls: true
channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
custom_channels:
nvidia: https://conda.anaconda.org
pyg: https://conda.anaconda.org
I got a dirty workaround. Modify follow line:
File "/home/zhyue/mambaforge/lib/python3.9/site-packages/mamba/utils.py", line 393, in compute_final_precs
raise ValueError("missing key {} in channels: {}".format(key, lookup_dict))
Change the raise statement to continue or pass. Run you command again. Your python should be upgraded as expected.
P.S. You don't need to change it back. After successful upgrade, this file will no longer exist.
please use my ~/.condarc
show_channel_urls: true
always_yes: false
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- conda-forge
channel_priority: disabled
mamba upgrade python -y success!
