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Bump mamba from 2.1.0 to 2.3.2, conda from 24.11.0 to 25.9.1 #1465
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Bumps [mamba](https://github.com/mamba-org/mamba) from 2.1.0 to 2.3.2 - [Release notes](https://github.com/mamba-org/mamba/releases) - [Commits](mamba-org/mamba@2.1.0...2.3.2)
| # which in turn downgrades krb5 from >=1.21.3 to 1.17.2 | ||
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|
||
| assert pkgs["openssl"]["version"].startswith("1.1.1"), pkgs["openssl"]["version"] | ||
| assert pkgs["python"]["version"] == "3.9.0", pkgs["python"]["version"] | ||
| assert pkgs["krb5"]["version"] == "1.17.2", pkgs["krb5"]["version"] |
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Looking at the logs at https://github.com/jupyterhub/repo2docker/actions/runs/17423514766/job/49491688040?pr=1465#step:7:1813, this is how the downgrade went:
#20 12.78 Updating specs:
#20 12.78
#20 12.78 - python=3.9
#20 12.78 - xeus-cling=0.6.0
#20 12.78 - xtensor=0.20.8
#20 12.78 - xtensor-blas=0.16.1
#20 12.78 - notebook
#20 12.78
#20 12.78
#20 12.78 Package Version Build Channel Size
#20 12.78 ─────────────────────────────────────────────────────────────────────────────────
#20 12.78 Install:
#20 12.78 ─────────────────────────────────────────────────────────────────────────────────
#20 12.78
#20 12.78 + binutils_impl_linux-64 2.33.1 h53a641e_8 conda-forge 10MB
#20 12.78 + binutils_linux-64 2.33.1 h9595d00_17 conda-forge 22kB
#20 12.78 + clang_variant 1.0 cling_6.14.06 conda-forge 9kB
#20 12.78 + clangdev 5.0.0 h935a590_1004 conda-forge 95MB
#20 12.78 + cling 0.5 he860b03_1007 conda-forge 25MB
#20 12.78 + cppzmq 4.3.0 hc9558a2_1001 conda-forge 15kB
#20 12.78 + gcc_impl_linux-64 7.3.0 hd420e75_5 conda-forge 74MB
#20 12.78 + gcc_linux-64 7.3.0 h553295d_17 conda-forge 22kB
#20 12.78 + gxx_impl_linux-64 7.3.0 hdf63c60_5 conda-forge 20MB
#20 12.78 + gxx_linux-64 7.3.0 h553295d_17 conda-forge 22kB
#20 12.78 + libblas 3.9.0 8_openblas conda-forge 12kB
#20 12.78 + libcblas 3.9.0 8_openblas conda-forge 12kB
#20 12.78 + libgfortran-ng 7.5.0 h14aa051_20 conda-forge 23kB
#20 12.78 + libgfortran4 7.5.0 h14aa051_20 conda-forge 1MB
#20 12.78 + liblapack 3.9.0 8_openblas conda-forge 12kB
#20 12.78 + libopenblas 0.3.12 pthreads_hb3c22a3_1 conda-forge 9MB
#20 12.78 + nlohmann_json 3.6.1 he1b5a44_0 conda-forge 104kB
#20 12.78 + xeus 0.20.0 h4d8c418_1 conda-forge 4MB
#20 12.78 + xeus-cling 0.6.0 he513fc3_1 conda-forge 20MB
#20 12.78 + xtensor 0.20.8 hc9558a2_0 conda-forge 162kB
#20 12.78 + xtensor-blas 0.16.1 h776b511_0 conda-forge 263kB
#20 12.78 + xtl 0.6.21 h0efe328_1 conda-forge 97kB
#20 12.78
#20 12.78 Remove:
#20 12.78 ─────────────────────────────────────────────────────────────────────────────────
#20 12.78
#20 12.78 - libxcrypt 4.4.36 hd590300_1 conda-forge 100kB
#20 12.78
#20 12.78 Change:
#20 12.78 ─────────────────────────────────────────────────────────────────────────────────
#20 12.78
#20 12.78 - bzip2 1.0.8 h4bc722e_7 conda-forge 253kB
#20 12.78 + bzip2 1.0.8 h516909a_3 conda-forge 407kB
#20 12.78
#20 12.78 Downgrade:
#20 12.78 ─────────────────────────────────────────────────────────────────────────────────
#20 12.78
#20 12.78 - krb5 1.21.3 h659f571_0 conda-forge 1MB
#20 12.78 + krb5 1.17.2 h926e7f8_0 conda-forge 2MB
#20 12.78 - ld_impl_linux-64 2.43 h712a8e2_2 conda-forge 669kB
#20 12.78 + ld_impl_linux-64 2.33.1 h53a641e_8 conda-forge 603kB
#20 12.78 - libgcc-ng 14.2.0 h69a702a_1 conda-forge 54kB
#20 12.78 + libgcc-ng 9.2.0 h24d8f2e_2 conda-forge 9MB
#20 12.78 - libgomp 14.2.0 h77fa898_1 conda-forge 461kB
#20 12.78 + libgomp 9.2.0 h24d8f2e_2 conda-forge 835kB
#20 12.78 - libstdcxx-ng 14.2.0 h4852527_1 conda-forge 54kB
#20 12.78 + libstdcxx-ng 9.2.0 hdf63c60_2 conda-forge 5MB
#20 12.78 - libuuid 2.38.1 h0b41bf4_0 conda-forge 34kB
#20 12.78 + libuuid 2.32.1 h14c3975_1000 conda-forge 27kB
#20 12.78 - libzlib 1.3.1 hb9d3cd8_2 conda-forge 61kB
#20 12.78 + libzlib 1.2.11 h36c2ea0_1013 conda-forge 60kB
#20 12.78 - openssl 3.4.0 h7b32b05_1 conda-forge 3MB
#20 12.78 + openssl 1.1.1h h516909a_0 conda-forge 2MB
#20 12.78 - zlib 1.3.1 hb9d3cd8_2 conda-forge 92kB
#20 12.78 + zlib 1.2.11 h36c2ea0_1013 conda-forge 88kB
#20 12.78
#20 12.78 Summary:
#20 12.78
#20 12.78 Install: 22 packages
#20 12.78 Remove: 1 packages
#20 12.78 Change: 1 packages
#20 12.78 Downgrade: 9 packages
#20 12.78
#20 12.78 Total download: 277MB
I didn't see a downgrade of the python version (Python was on 3.9.21), so I switched to checking krb5=1.17.2 instead that also pins to openssl >=1.1.1h,<1.1.2a.
Bumps [conda](https://github.com/conda/conda) from 24.11.0 to 25.7.0 - [Release notes](https://github.com/conda/conda/releases) - [Commits](conda/conda@24.11.0...25.7.0)
|
AFAIK, there seems to be some SSL related error prior to this test being run, happening at repo2docker/repo2docker/buildpacks/_r_base.py Lines 66 to 70 in 1766748
Traceback from https://github.com/jupyterhub/repo2docker/actions/runs/17447744022/job/49546118573?pr=1465#step:7:8044 There's also some other error about zmq: #25 exporting to image
#25 exporting layers
#25 exporting layers 15.3s done
#25 writing image sha256:3c2d4425e86beb7dba65beec3a8f9f62ba17ad57a8414818e2697aa3c53e9d43 done
#25 naming to docker.io/library/r2d-tests-conda-2fdowngrade-1756938690 done
#25 DONE 15.3s
Activating profile: /srv/conda/etc/profile.d/conda.sh
/srv/conda/envs/notebook/lib/python3.9/subprocess.py:941: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used
self.stdout = io.open(c2pread, 'rb', bufsize)
Traceback (most recent call last):
File "/srv/conda/envs/notebook/bin/jupyter-notebook", line 6, in <module>
from notebook.app import main
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/notebook/app.py", line 9, in <module>
from jupyter_client.utils import ensure_async # type:ignore[attr-defined]
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/jupyter_client/__init__.py", line 3, in <module>
from .asynchronous import AsyncKernelClient
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/jupyter_client/asynchronous/__init__.py", line 1, in <module>
from .client import AsyncKernelClient # noqa
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/jupyter_client/asynchronous/client.py", line 8, in <module>
import zmq.asyncio
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zmq/__init__.py", line 52, in <module>
from zmq import backend
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zmq/backend/__init__.py", line 30, in <module>
raise original_error from None
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zmq/backend/__init__.py", line 25, in <module>
_ns = select_backend(first)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zmq/backend/select.py", line 31, in select_backend
mod = import_module(name)
File "/srv/conda/envs/notebook/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zmq/backend/cython/__init__.py", line 6, in <module>
from . import _zmq
ImportError: /srv/conda/envs/notebook/lib/python3.9/site-packages/zmq/backend/cython/../../../../.././libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /srv/conda/envs/notebook/lib/python3.9/site-packages/zmq/backend/cython/../../../../../libzmq.so.5)A bit confused on what's going on... |
|
That's quite puzzling, the test passed on |
|
the ssl failure seems 'real'? |
|
Yeah, I'm struggling to see how the updates here affect SSL though 😕 |
Bumps [conda](https://github.com/conda/conda) from 25.7.0 to 25.9.1 - [Release notes](https://github.com/conda/conda/releases) - [Commits](conda/conda@25.7.0...25.9.1)
|
I'm not really sure what's going on, but the problem does appear to be that later mamba finds a completely different solution to the env: new: diff: --- good.txt 2025-10-27 15:55:53
+++ bad-232.txt 2025-10-27 15:51:49
@@ -4,10 +4,11 @@
───────────────────────────────────────────────────────────────────────────────────
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
- alembic 1.14.1 pyhd8ed1ab_0 conda-forge
+ alembic 1.16.4 pyhd8ed1ab_0 conda-forge
annotated-types 0.7.0 pyhd8ed1ab_1 conda-forge
- anyio 3.7.1 pyhd8ed1ab_0 conda-forge
- argon2-cffi 20.1.0 py39hbd71b63_2 conda-forge
+ anyio 4.10.0 pyhe01879c_0 conda-forge
+ argon2-cffi 25.1.0 pyhd8ed1ab_0 conda-forge
+ argon2-cffi-bindings 25.1.0 py39hd399759_0 conda-forge
arrow 1.3.0 pyhd8ed1ab_1 conda-forge
asttokens 3.0.0 pyhd8ed1ab_1 conda-forge
async-lru 2.0.5 pyh29332c3_0 conda-forge
@@ -20,101 +21,103 @@
bleach 6.2.0 pyh29332c3_4 conda-forge
bleach-with-css 6.2.0 h82add2a_4 conda-forge
blinker 1.9.0 pyhff2d567_0 conda-forge
- brotli-python 1.0.9 py39hfbd4741_3 conda-forge
- bzip2 1.0.8 h516909a_3 conda-forge
- ca-certificates 2025.10.5 hbd8a1cb_0 conda-forge
+ brotli-python 1.1.0 py39hf88036b_3 conda-forge
+ bzip2 1.0.8 h4bc722e_7 conda-forge
+ ca-certificates 2025.8.3 hbd8a1cb_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
certifi 2025.8.3 pyhd8ed1ab_0 conda-forge
certipy 0.2.2 pyhd8ed1ab_0 conda-forge
- cffi 1.14.4 py39he88106c_0 conda-forge
+ cffi 1.17.1 py39h15c3d72_0 conda-forge
charset-normalizer 3.4.3 pyhd8ed1ab_0 conda-forge
clang_variant 1.0 cling_6.14.06 conda-forge
clangdev 5.0.0 h935a590_1004 conda-forge
cling 0.5 he860b03_1007 conda-forge
comm 0.2.3 pyhe01879c_0 conda-forge
cppzmq 4.3.0 hc9558a2_1001 conda-forge
- cryptography 3.2.1 py39h01d1d65_0 conda-forge
- debugpy 1.2.0 py39h41458e0_0 conda-forge
+ cryptography 45.0.6 py39hb2f7f84_0 conda-forge
+ debugpy 1.8.16 py39haef64b4_0 conda-forge
decorator 5.2.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
- entrypoints 0.4 pyhd8ed1ab_1 conda-forge
exceptiongroup 1.3.0 pyhd8ed1ab_0 conda-forge
executing 2.2.0 pyhd8ed1ab_0 conda-forge
fqdn 1.5.1 pyhd8ed1ab_1 conda-forge
gcc_impl_linux-64 7.3.0 hd420e75_5 conda-forge
gcc_linux-64 7.3.0 h553295d_17 conda-forge
- greenlet 0.4.17 py39h07f9747_1 conda-forge
+ greenlet 3.2.4 py39h818bca1_0 conda-forge
gxx_impl_linux-64 7.3.0 hdf63c60_5 conda-forge
gxx_linux-64 7.3.0 h553295d_17 conda-forge
h11 0.16.0 pyhd8ed1ab_0 conda-forge
h2 4.2.0 pyhd8ed1ab_0 conda-forge
hpack 4.1.0 pyhd8ed1ab_0 conda-forge
- httpcore 0.13.2 pyhd8ed1ab_0 conda-forge
- httpx 0.25.1 pyhd8ed1ab_0 conda-forge
+ httpcore 1.0.9 pyh29332c3_0 conda-forge
+ httpx 0.28.1 pyhd8ed1ab_0 conda-forge
hyperframe 6.1.0 pyhd8ed1ab_0 conda-forge
- icu 68.1 h58526e2_0 conda-forge
+ icu 75.1 he02047a_0 conda-forge
idna 3.10 pyhd8ed1ab_1 conda-forge
importlib-metadata 8.7.0 pyhe01879c_1 conda-forge
- importlib_resources 6.5.2 pyhd8ed1ab_0 conda-forge
- ipykernel 6.20.2 pyh210e3f2_0 conda-forge
+ ipykernel 6.30.1 pyh82676e8_0 conda-forge
ipython 8.18.1 pyh707e725_3 conda-forge
- ipython_genutils 0.2.0 pyhd8ed1ab_2 conda-forge
ipywidgets 8.1.7 pyhd8ed1ab_0 conda-forge
isoduration 20.11.0 pyhd8ed1ab_1 conda-forge
jedi 0.19.2 pyhd8ed1ab_1 conda-forge
jinja2 3.1.6 pyhd8ed1ab_0 conda-forge
json5 0.12.1 pyhd8ed1ab_0 conda-forge
jsonpointer 3.0.0 py39hf3d152e_1 conda-forge
- jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge
- jsonschema-with-format-nongpl 4.17.3 pyhd8ed1ab_0 conda-forge
+ jsonschema 4.25.0 pyhe01879c_0 conda-forge
+ jsonschema-specifications 2025.4.1 pyh29332c3_0 conda-forge
+ jsonschema-with-format-nongpl 4.25.0 he01879c_0 conda-forge
jupyter-lsp 2.2.6 pyhe01879c_0 conda-forge
jupyter-offlinenotebook 0.3.1 pyh885dcc9_1 conda-forge
- jupyter-resource-usage 0.7.1 pyhd8ed1ab_0 conda-forge
- jupyter_client 7.1.2 pyhd8ed1ab_0 conda-forge
+ jupyter-resource-usage 1.1.1 pyhd8ed1ab_0 conda-forge
+ jupyter_client 8.6.3 pyhd8ed1ab_1 conda-forge
jupyter_core 5.8.1 pyh31011fe_0 conda-forge
- jupyter_events 0.6.3 pyhd8ed1ab_1 conda-forge
- jupyter_server 1.24.0 pyhd8ed1ab_0 conda-forge
+ jupyter_events 0.12.0 pyh29332c3_0 conda-forge
+ jupyter_server 2.16.0 pyhe01879c_0 conda-forge
jupyter_server_terminals 0.5.3 pyhd8ed1ab_1 conda-forge
- jupyter_telemetry 0.1.0 pyhd8ed1ab_1 conda-forge
- jupyterhub-base 3.1.1 pyh2a2186d_0 conda-forge
- jupyterhub-singleuser 3.1.1 pyh2a2186d_0 conda-forge
- jupyterlab 3.5.3 pyhd8ed1ab_0 conda-forge
- jupyterlab_pygments 0.3.0 pyhd8ed1ab_0 conda-forge
- jupyterlab_server 2.24.0 pyhd8ed1ab_0 conda-forge
+ jupyterhub-base 5.3.0 pyhda7c55b_0 conda-forge
+ jupyterhub-singleuser 5.3.0 h4422900_0 conda-forge
+ jupyterlab 4.4.6 pyhd8ed1ab_0 conda-forge
+ jupyterlab_pygments 0.3.0 pyhd8ed1ab_2 conda-forge
+ jupyterlab_server 2.27.3 pyhd8ed1ab_1 conda-forge
jupyterlab_widgets 3.0.15 pyhd8ed1ab_0 conda-forge
+ keyutils 1.6.3 hb9d3cd8_0 conda-forge
krb5 1.17.2 h926e7f8_0 conda-forge
lark 1.2.2 pyhd8ed1ab_1 conda-forge
ld_impl_linux-64 2.33.1 h53a641e_8 conda-forge
libblas 3.9.0 8_openblas conda-forge
libcblas 3.9.0 8_openblas conda-forge
- libedit 3.1.20191231 he28a2e2_2 conda-forge
- libffi 3.2.1 he1b5a44_1007 conda-forge
- libgcc 7.2.0 h69d50b8_2 conda-forge
+ libedit 3.1.20250104 pl5321h7949ede_0 conda-forge
+ libexpat 2.7.1 hecca717_0 conda-forge
+ libffi 3.4.6 h2dba641_1 conda-forge
+ libgcc 15.1.0 h767d61c_4 conda-forge
libgcc-ng 9.2.0 h24d8f2e_2 conda-forge
libgfortran-ng 7.5.0 h14aa051_20 conda-forge
libgfortran4 7.5.0 h14aa051_20 conda-forge
libgomp 9.2.0 h24d8f2e_2 conda-forge
liblapack 3.9.0 8_openblas conda-forge
+ liblzma 5.8.1 hb9d3cd8_2 conda-forge
+ libnsl 2.0.1 hb9d3cd8_1 conda-forge
libopenblas 0.3.12 pthreads_hb3c22a3_1 conda-forge
- libsodium 1.0.18 h36c2ea0_1 conda-forge
+ libsodium 1.0.20 h4ab18f5_0 conda-forge
+ libstdcxx 15.1.0 h8f9b012_4 conda-forge
libstdcxx-ng 9.2.0 hdf63c60_2 conda-forge
- libuuid 2.32.1 h14c3975_1000 conda-forge
- libuv 1.40.0 hd18ef5c_0 conda-forge
+ libuuid 2.38.1 h0b41bf4_0 conda-forge
+ libuv 1.51.0 hb03c661_1 conda-forge
+ libxcrypt 4.4.36 hd590300_1 conda-forge
libzlib 1.2.11 h36c2ea0_1013 conda-forge
mako 1.3.10 pyhd8ed1ab_0 conda-forge
- markupsafe 3.0.2 pyhe1237c8_1 conda-forge
+ markupsafe 3.0.2 py39h9399b63_1 conda-forge
matplotlib-inline 0.1.7 pyhd8ed1ab_1 conda-forge
mistune 3.1.3 pyh29332c3_0 conda-forge
- nbclassic 1.3.1 pyhe01879c_0 conda-forge
nbclient 0.10.2 pyhd8ed1ab_0 conda-forge
nbconvert-core 7.16.6 pyh29332c3_0 conda-forge
nbformat 5.10.4 pyhd8ed1ab_1 conda-forge
- ncurses 6.2 h58526e2_4 conda-forge
+ ncurses 6.5 h2d0b736_3 conda-forge
nest-asyncio 1.6.0 pyhd8ed1ab_1 conda-forge
nlohmann_json 3.6.1 he1b5a44_0 conda-forge
- nodejs 15.3.0 h25f6087_0 conda-forge
- notebook 6.5.7 pyha770c72_0 conda-forge
+ nodejs 20.19.4 hf7ee748_0 conda-forge
+ notebook 7.4.5 pyhd8ed1ab_0 conda-forge
notebook-shim 0.2.4 pyhd8ed1ab_1 conda-forge
oauthlib 3.3.1 pyhd8ed1ab_0 conda-forge
openssl 1.1.1h h516909a_0 conda-forge
@@ -126,47 +129,45 @@
pexpect 4.9.0 pyhd8ed1ab_1 conda-forge
pickleshare 0.7.5 pyhd8ed1ab_1004 conda-forge
pip 25.2 pyh8b19718_0 conda-forge
- pkgutil-resolve-name 1.3.10 pyhd8ed1ab_2 conda-forge
platformdirs 4.3.8 pyhe01879c_0 conda-forge
prometheus_client 0.22.1 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.51 pyha770c72_0 conda-forge
- psutil 5.7.3 py39h38d8fee_0 conda-forge
+ psutil 5.9.8 py39hd1e30aa_0 conda-forge
ptyprocess 0.7.0 pyhd8ed1ab_1 conda-forge
pure_eval 0.2.3 pyhd8ed1ab_1 conda-forge
pycparser 2.22 pyh29332c3_1 conda-forge
- pydantic 1.7.2 py39hbd71b63_0 conda-forge
+ pydantic 2.11.7 pyh3cfb1c2_0 conda-forge
+ pydantic-core 2.33.2 py39h20260ba_0 conda-forge
pygments 2.19.2 pyhd8ed1ab_0 conda-forge
- pyjwt 2.0.1 pyhd8ed1ab_0 conda-forge
- pyrsistent 0.17.3 py39hbd71b63_1 conda-forge
+ pyjwt 2.10.1 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyha55dd90_7 conda-forge
- python 3.9.0 h2a148a8_4_cpython conda-forge
+ python 3.9.23 hc30ae73_0_cpython conda-forge
python-dateutil 2.9.0.post0 pyhe01879c_2 conda-forge
python-fastjsonschema 2.21.2 pyhe01879c_0 conda-forge
python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge
python_abi 3.9 8_cp39 conda-forge
pytz 2025.2 pyhd8ed1ab_0 conda-forge
- pyyaml 5.3.1 py39h38d8fee_1 conda-forge
- pyzmq 20.0.0 py39h25affbc_1 conda-forge
- readline 8.0 he28a2e2_2 conda-forge
- requests 2.32.5 pyhd8ed1ab_0 conda-forge
+ pyyaml 6.0.2 py39h9399b63_2 conda-forge
+ pyzmq 27.0.1 py39haa5fa38_0 conda-forge
+ readline 8.2 h8c095d6_2 conda-forge
+ referencing 0.36.2 pyh29332c3_0 conda-forge
+ requests 2.32.4 pyhd8ed1ab_0 conda-forge
rfc3339-validator 0.1.4 pyhd8ed1ab_1 conda-forge
rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge
rfc3987-syntax 1.1.0 pyhe01879c_1 conda-forge
- ruamel.yaml 0.16.12 py39hbd71b63_1 conda-forge
- ruamel.yaml.clib 0.2.2 py39hbd71b63_1 conda-forge
+ rpds-py 0.27.0 py39h17f49b6_0 conda-forge
send2trash 1.8.3 pyh0d859eb_1 conda-forge
setuptools 80.9.0 pyhff2d567_0 conda-forge
six 1.17.0 pyhe01879c_1 conda-forge
sniffio 1.3.1 pyhd8ed1ab_1 conda-forge
soupsieve 2.7 pyhd8ed1ab_0 conda-forge
- sqlalchemy 1.3.20 py39h07f9747_0 conda-forge
- sqlite 3.33.0 h4cf870e_1 conda-forge
+ sqlalchemy 2.0.43 py39hd399759_0 conda-forge
stack_data 0.6.3 pyhd8ed1ab_1 conda-forge
terminado 0.18.1 pyh0d859eb_0 conda-forge
tinycss2 1.4.0 pyhd8ed1ab_0 conda-forge
tk 8.6.11 h21135ba_0 conda-forge
tomli 2.2.1 pyhe01879c_2 conda-forge
- tornado 6.1 py39hbd71b63_0 conda-forge
+ tornado 6.5.2 py39hd399759_0 conda-forge
traitlets 5.14.3 pyhd8ed1ab_1 conda-forge
types-python-dateutil 2.9.0.20250809 pyhd8ed1ab_0 conda-forge
typing-extensions 4.14.1 h4440ef1_0 conda-forge
@@ -175,7 +176,7 @@
typing_utils 0.1.0 pyhd8ed1ab_1 conda-forge
tzdata 2025b h78e105d_0 conda-forge
uri-template 1.3.0 pyhd8ed1ab_1 conda-forge
- urllib3 2.2.2 pyhd8ed1ab_0 conda-forge
+ urllib3 2.5.0 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_1 conda-forge
webcolors 24.11.1 pyhd8ed1ab_0 conda-forge
webencodings 0.5.1 pyhd8ed1ab_3 conda-forge
@@ -187,9 +188,8 @@
xtensor 0.20.8 hc9558a2_0 conda-forge
xtensor-blas 0.16.1 h776b511_0 conda-forge
xtl 0.6.21 h0efe328_1 conda-forge
- xz 5.2.5 h516909a_1 conda-forge
- yaml 0.2.5 h516909a_0 conda-forge
- zeromq 4.3.3 h58526e2_3 conda-forge
+ yaml 0.2.5 h280c20c_3 conda-forge
+ zeromq 4.3.5 h3b0a872_7 conda-forge
zipp 3.23.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h36c2ea0_1013 conda-forge
- zstandard 0.14.0 py39hf149a3a_3 conda-forge
+ zstandard 0.23.0 py39h8cd3c5a_2 conda-forgeIt may have less to do with the solver than with the dependencies of the updated packages and the starting point for the env before the In this particular case, I'm not quite sure what the right thing to do is, if the test env has a reasonable expectation to work or not. It is very outdated, but that's kind of the point. |
|
It does seem like this might be better and more avoidable if we didn't put conda in the notebook env, and instead used micromamba (and/or conda) from a dedicated, locked env. If we include conda, that's a full Python install, so a bigger image, but maybe still worth it? |
Bumps mamba from 2.1.0 to 2.3.2
Bumps conda from 24.11.0 to 25.9.1
Trying to fix some. Edit: this has resolved itself now, but still keen to help with the update here!Out of memory allocating 18446744071562067968*4 byteserror at CryoInTheCloud/hub-image#137 (comment)