conda-lock
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conda
Failing with KeyError: 'openssl<1.1.2a'
Checklist
- [X] I added a descriptive title
- [X] I searched open reports and couldn't find a duplicate
What happened?
I ran conda-lock -f environment.yml -p linux-64 and it failed with the following error:
Traceback (most recent call last):
File "/home/aman/.local/pipx/venvs/conda-lock/lib/python3.11/site-packages/conda_lock/src_parser/__init__.py", line 488, in seperator_munge_get
return d[key]
~^^^^^
KeyError: 'openssl<1.1.2a'
Conda Info
active environment : ai-search
active env location : /home/aman/anaconda3/envs/ai-search
shell level : 1
user config file : /home/aman/.condarc
populated config files : /home/aman/.condarc
conda version : 23.3.1
conda-build version : 3.24.0
python version : 3.10.9.final.0
virtual packages : __archspec=1=x86_64
__cuda=12.0=0
__glibc=2.37=0
__linux=6.2.0=0
__unix=0=0
base environment : /home/aman/anaconda3 (writable)
conda av data dir : /home/aman/anaconda3/etc/conda
conda av metadata url : None
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /home/aman/anaconda3/pkgs
/home/aman/.conda/pkgs
envs directories : /home/aman/anaconda3/envs
/home/aman/.conda/envs
platform : linux-64
user-agent : conda/23.3.1 requests/2.28.2 CPython/3.10.9 Linux/6.2.0-20-generic ubuntu/23.04 glibc/2.37
UID:GID : 1000:1000
netrc file : /home/aman/.netrc
offline mode : False
Conda Config
==> /home/aman/.condarc <==
auto_activate_base: False
channel_priority: disabled
Conda list
# packages in environment at /home/aman/anaconda3/envs/ai-search:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main defaults
_openmp_mutex 5.1 1_gnu defaults
accelerate 0.19.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.3 py39h5eee18b_0 defaults
aiosignal 1.2.0 pyhd3eb1b0_0 defaults
alembic 1.10.4 pyhd8ed1ab_0 conda-forge
anyio 3.5.0 py39h06a4308_0 defaults
argon2-cffi 21.3.0 pyhd3eb1b0_0 defaults
argon2-cffi-bindings 21.2.0 py39h7f8727e_0 defaults
asttokens 2.0.5 pyhd3eb1b0_0 defaults
async-timeout 4.0.2 py39h06a4308_0 defaults
attrs 22.1.0 py39h06a4308_0 defaults
babel 2.11.0 py39h06a4308_0 defaults
backcall 0.2.0 pyhd3eb1b0_0 defaults
beautifulsoup4 4.12.2 py39h06a4308_0 defaults
blas 1.0 mkl defaults
bleach 4.1.0 pyhd3eb1b0_0 defaults
boto3 1.24.28 py39h06a4308_0 anaconda
botocore 1.27.59 py39h06a4308_0 defaults
bottleneck 1.3.5 py39h7deecbd_0 defaults
brotli 1.0.9 h5eee18b_7 defaults
brotli-bin 1.0.9 h5eee18b_7 defaults
brotlipy 0.7.0 py39h27cfd23_1003 defaults
bzip2 1.0.8 h7b6447c_0 defaults
ca-certificates 2023.5.7 hbcca054_0 conda-forge
certifi 2023.5.7 py39h06a4308_0 defaults
cffi 1.15.1 py39h5eee18b_3 defaults
charset-normalizer 2.0.4 pyhd3eb1b0_0 defaults
click 8.1.3 unix_pyhd8ed1ab_2 conda-forge
cmaes 0.9.1 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 py39h06a4308_0 defaults
coloredlogs 15.0.1 pypi_0 pypi
colorlog 5.0.1 py39h06a4308_1 defaults
comm 0.1.2 py39h06a4308_0 defaults
contentful 2.1.1 pypi_0 pypi
contourpy 1.0.5 py39hdb19cb5_0 defaults
cryptography 39.0.1 py39h9ce1e76_0 defaults
cuda-command-line-tools 11.8.0 0 nvidia
cuda-compiler 12.1.1 0 nvidia/label/cuda-12.1.1
cuda-cudart 11.8.89 0 nvidia
cuda-cuobjdump 12.1.111 0 nvidia/label/cuda-12.1.1
cuda-cupti 11.8.87 0 nvidia
cuda-cuxxfilt 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-gdb 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-libraries 11.8.0 0 nvidia
cuda-libraries-dev 11.3.0 h3b286be_0 nvidia
cuda-memcheck 11.8.86 0 nvidia
cuda-nvcc 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-nvdisasm 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-nvml-dev 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-nvprof 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-nvprune 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-nvrtc 11.8.89 0 nvidia
cuda-nvtx 11.8.86 0 nvidia
cuda-nvvp 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-runtime 11.8.0 0 nvidia
cuda-samples 11.6.101 h8efea70_0 nvidia
cuda-sanitizer-api 12.1.105 0 nvidia/label/cuda-12.1.1
cuda-thrust 11.4.43 h00096a5_0 nvidia
cuda-toolkit 11.3.0 h3b286be_0 nvidia
cuda-tools 11.3.0 h3b286be_0 nvidia
cuda-visual-tools 11.3.0 h3b286be_0 nvidia
cudatoolkit 11.3.1 h2bc3f7f_2 defaults
cycler 0.11.0 pyhd3eb1b0_0 defaults
datasets 2.12.0 pypi_0 pypi
dbus 1.13.18 hb2f20db_0 defaults
debugpy 1.5.1 py39h295c915_0 defaults
decorator 5.1.1 pyhd3eb1b0_0 defaults
defusedxml 0.7.1 pyhd3eb1b0_0 defaults
dill 0.3.6 pypi_0 pypi
entrypoints 0.4 py39h06a4308_0 defaults
et_xmlfile 1.1.0 py39h06a4308_0 defaults
executing 0.8.3 pyhd3eb1b0_0 defaults
expat 2.4.9 h6a678d5_0 defaults
faiss-gpu 1.7.3 py3.9_h28a55e0_0_cuda11.3 pytorch
fastapi 0.95.1 pyhd8ed1ab_0 conda-forge
ffmpeg 4.3 hf484d3e_0 pytorch
filelock 3.12.0 pyhd8ed1ab_0 conda-forge
fontconfig 2.14.1 h4c34cd2_2 defaults
fonttools 4.25.0 pyhd3eb1b0_0 defaults
freetype 2.12.1 h4a9f257_0 defaults
frozenlist 1.3.3 py39h5eee18b_0 defaults
fsspec 2023.5.0 pypi_0 pypi
giflib 5.2.1 h5eee18b_3 defaults
glib 2.69.1 he621ea3_2 defaults
gmp 6.2.1 h295c915_3 defaults
gmpy2 2.1.2 py39heeb90bb_0 defaults
gnutls 3.6.15 he1e5248_0 defaults
greenlet 2.0.1 py39h6a678d5_0 defaults
gst-plugins-base 1.14.1 h6a678d5_1 defaults
gstreamer 1.14.1 h5eee18b_1 defaults
h11 0.14.0 pyhd8ed1ab_0 conda-forge
huggingface-hub 0.14.1 pypi_0 pypi
humanfriendly 10.0 pypi_0 pypi
icu 58.2 he6710b0_3 defaults
idna 3.4 py39h06a4308_0 defaults
importlib-metadata 6.6.0 pyha770c72_0 conda-forge
importlib_resources 5.2.0 pyhd3eb1b0_1 defaults
intel-openmp 2023.1.0 hdb19cb5_46305 defaults
ipykernel 6.19.2 py39hb070fc8_0 defaults
ipython 8.12.0 py39h06a4308_0 defaults
ipython_genutils 0.2.0 pyhd3eb1b0_1 defaults
ipywidgets 8.0.4 py39h06a4308_0 defaults
jedi 0.18.1 py39h06a4308_1 defaults
jinja2 3.1.2 py39h06a4308_0 defaults
jmespath 0.10.0 pyhd3eb1b0_0 defaults
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h5eee18b_1 defaults
json5 0.9.6 pyhd3eb1b0_0 defaults
jsonschema 4.17.3 py39h06a4308_0 defaults
jupyter 1.0.0 py39h06a4308_8 defaults
jupyter_client 7.4.9 py39h06a4308_0 defaults
jupyter_console 6.6.3 py39h06a4308_0 defaults
jupyter_core 5.3.0 py39h06a4308_0 defaults
jupyter_server 1.23.4 py39h06a4308_0 defaults
jupyterlab 3.5.3 py39h06a4308_0 defaults
jupyterlab_pygments 0.1.2 py_0 defaults
jupyterlab_server 2.22.0 py39h06a4308_0 defaults
jupyterlab_widgets 3.0.5 py39h06a4308_0 defaults
kiwisolver 1.4.4 py39h6a678d5_0 defaults
krb5 1.19.4 h568e23c_0 defaults
lame 3.100 h7b6447c_0 defaults
lcms2 2.12 h3be6417_0 defaults
ld_impl_linux-64 2.38 h1181459_1 defaults
lerc 3.0 h295c915_0 defaults
libbrotlicommon 1.0.9 h5eee18b_7 defaults
libbrotlidec 1.0.9 h5eee18b_7 defaults
libbrotlienc 1.0.9 h5eee18b_7 defaults
libclang 14.0.6 default_hc6dbbc7_1 defaults
libclang13 14.0.6 default_he11475f_1 defaults
libcublas 11.11.3.6 0 nvidia
libcufft 10.9.0.58 0 nvidia
libcufile 1.6.1.9 0 nvidia/label/cuda-12.1.1
libcurand 10.3.2.106 0 nvidia/label/cuda-12.1.1
libcusolver 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libdeflate 1.17 h5eee18b_0 defaults
libedit 3.1.20221030 h5eee18b_0 defaults
libevent 2.1.12 h8f2d780_0 defaults
libfaiss 1.7.3 hfc2d529_0_cuda11.3 pytorch
libffi 3.4.4 h6a678d5_0 defaults
libgcc-ng 11.2.0 h1234567_1 defaults
libgfortran-ng 12.2.0 h69a702a_19 conda-forge
libgfortran5 12.2.0 h337968e_19 conda-forge
libgomp 11.2.0 h1234567_1 defaults
libiconv 1.16 h7f8727e_2 defaults
libidn2 2.3.4 h5eee18b_0 defaults
libllvm14 14.0.6 hdb19cb5_3 defaults
libnpp 11.8.0.86 0 nvidia
libnvjpeg 11.9.0.86 0 nvidia
libpng 1.6.39 h5eee18b_0 defaults
libpq 12.9 h16c4e8d_3 defaults
libsodium 1.0.18 h7b6447c_0 defaults
libstdcxx-ng 11.2.0 h1234567_1 defaults
libtasn1 4.19.0 h5eee18b_0 defaults
libtiff 4.5.0 h6a678d5_2 defaults
libunistring 0.9.10 h27cfd23_0 defaults
libuuid 1.41.5 h5eee18b_0 defaults
libwebp 1.2.4 h11a3e52_1 defaults
libwebp-base 1.2.4 h5eee18b_1 defaults
libxcb 1.15 h7f8727e_0 defaults
libxkbcommon 1.0.1 h5eee18b_1 defaults
libxml2 2.10.3 hcbfbd50_0 defaults
libxslt 1.1.37 h2085143_0 defaults
lxml 4.9.2 py39h5eee18b_0 defaults
lz4-c 1.9.4 h6a678d5_0 defaults
mako 1.2.4 pyhd8ed1ab_0 conda-forge
markdown 3.4.1 py39h06a4308_0 defaults
markupsafe 2.1.1 py39h7f8727e_0 defaults
matplotlib-base 3.7.1 py39h417a72b_1 defaults
matplotlib-inline 0.1.6 py39h06a4308_0 defaults
mistune 0.8.4 py39h27cfd23_1000 defaults
mkl 2023.1.0 h6d00ec8_46342 defaults
mkl-service 2.4.0 py39h5eee18b_1 defaults
mkl_fft 1.3.6 py39h417a72b_1 defaults
mkl_random 1.2.2 py39h417a72b_1 defaults
mpc 1.1.0 h10f8cd9_1 defaults
mpfr 4.0.2 hb69a4c5_1 defaults
mpmath 1.2.1 py39h06a4308_0 defaults
multidict 6.0.2 py39h5eee18b_0 defaults
multiprocess 0.70.14 pypi_0 pypi
munkres 1.1.4 py_0 defaults
nbclassic 0.5.5 py39h06a4308_0 defaults
nbclient 0.5.13 py39h06a4308_0 defaults
nbconvert 6.5.4 py39h06a4308_0 defaults
nbformat 5.7.0 py39h06a4308_0 defaults
ncurses 6.4 h6a678d5_0 defaults
nest-asyncio 1.5.6 py39h06a4308_0 defaults
nettle 3.7.3 hbbd107a_1 defaults
networkx 2.8.4 py39h06a4308_1 defaults
notebook 6.5.4 py39h06a4308_0 defaults
notebook-shim 0.2.2 py39h06a4308_0 defaults
nspr 4.33 h295c915_0 defaults
nss 3.74 h0370c37_0 defaults
numexpr 2.8.4 py39hc78ab66_1 defaults
numpy 1.24.3 py39hf6e8229_1 defaults
numpy-base 1.24.3 py39h060ed82_1 defaults
openai 0.27.4 py39h06a4308_0 defaults
openh264 2.1.1 h4ff587b_0 defaults
openpyxl 3.0.10 py39h5eee18b_0 defaults
openssl 1.1.1t h7f8727e_0 defaults
optimum 1.8.6 pypi_0 pypi
optuna 3.1.1 pyhd8ed1ab_0 conda-forge
packaging 23.1 pyhd8ed1ab_0 conda-forge
pandas 1.5.3 py39h417a72b_0 defaults
pandas-stubs 1.5.3.230203 py39h06a4308_0 defaults
pandocfilters 1.5.0 pyhd3eb1b0_0 defaults
parso 0.8.3 pyhd3eb1b0_0 defaults
pcre 8.45 h295c915_0 defaults
pexpect 4.8.0 pyhd3eb1b0_3 defaults
pickleshare 0.7.5 pyhd3eb1b0_1003 defaults
pillow 9.4.0 py39h6a678d5_0 defaults
pip 23.0.1 py39h06a4308_0 defaults
platformdirs 3.5.0 pyhd8ed1ab_0 conda-forge
plotly 5.9.0 py39h06a4308_0 defaults
ply 3.11 py39h06a4308_0 defaults
pooch 1.7.0 pyha770c72_3 conda-forge
prometheus_client 0.14.1 py39h06a4308_0 defaults
prompt-toolkit 3.0.36 py39h06a4308_0 defaults
prompt_toolkit 3.0.36 hd3eb1b0_0 defaults
protobuf 3.20.2 pypi_0 pypi
psutil 5.9.0 py39h5eee18b_0 defaults
ptyprocess 0.7.0 pyhd3eb1b0_2 defaults
pure_eval 0.2.2 pyhd3eb1b0_0 defaults
pyarrow 12.0.0 pypi_0 pypi
pycparser 2.21 pyhd3eb1b0_0 defaults
pydantic 1.10.2 py39h5eee18b_0 defaults
pygments 2.15.1 py39h06a4308_1 defaults
pynvml 11.5.0 pyhd8ed1ab_0 conda-forge
pyopenssl 23.1.1 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 py39h06a4308_0 defaults
pyqt 5.15.7 py39h6a678d5_1 defaults
pyqt5-sip 12.11.0 py39h6a678d5_1 defaults
pyrsistent 0.18.0 py39heee7806_0 defaults
pysocks 1.7.1 py39h06a4308_0 defaults
python 3.9.16 h7a1cb2a_2 defaults
python-dateutil 2.8.2 pyhd3eb1b0_0 defaults
python-dotenv 0.21.0 py39h06a4308_0 defaults
python-fastjsonschema 2.16.2 py39h06a4308_0 defaults
python_abi 3.9 2_cp39 conda-forge
pytorch 2.0.0 py3.9_cuda11.8_cudnn8.7.0_0 pytorch
pytorch-cuda 11.8 h7e8668a_3 pytorch
pytorch-mutex 1.0 cuda pytorch
pytz 2022.7 py39h06a4308_0 defaults
pyyaml 6.0 py39h5eee18b_1 defaults
pyzmq 25.0.2 py39h6a678d5_0 defaults
qt-main 5.15.2 h8373d8f_8 defaults
qt-webengine 5.15.9 hbbf29b9_6 defaults
qtconsole 5.4.2 py39h06a4308_0 defaults
qtpy 2.2.0 py39h06a4308_0 defaults
qtwebkit 5.212 h3fafdc1_5 defaults
readline 8.2 h5eee18b_0 defaults
regex 2023.5.5 pypi_0 pypi
requests 2.29.0 py39h06a4308_0 defaults
responses 0.18.0 pypi_0 pypi
s3transfer 0.6.0 py39h06a4308_0 defaults
scikit-learn 1.2.2 py39h6a678d5_0 defaults
scipy 1.10.1 py39hf6e8229_1 defaults
send2trash 1.8.0 pyhd3eb1b0_1 defaults
setuptools 66.0.0 py39h06a4308_0 defaults
sip 6.6.2 py39h6a678d5_0 defaults
six 1.16.0 pyhd3eb1b0_1 defaults
sniffio 1.2.0 py39h06a4308_1 defaults
soupsieve 2.4 py39h06a4308_0 defaults
sqlalchemy 1.4.39 py39h5eee18b_0 defaults
sqlite 3.41.2 h5eee18b_0 defaults
stack_data 0.2.0 pyhd3eb1b0_0 defaults
starlette 0.26.1 pyhd8ed1ab_0 conda-forge
sympy 1.11.1 py39h06a4308_0 defaults
tbb 2021.8.0 hdb19cb5_0 defaults
tenacity 8.2.2 py39h06a4308_0 defaults
terminado 0.17.1 py39h06a4308_0 defaults
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tinycss2 1.2.1 py39h06a4308_0 defaults
tk 8.6.12 h1ccaba5_0 defaults
tokenizers 0.13.3 pypi_0 pypi
toml 0.10.2 pyhd3eb1b0_0 defaults
tomli 2.0.1 py39h06a4308_0 defaults
torchaudio 2.0.0 py39_cu118 pytorch
torchtriton 2.0.0 py39 pytorch
torchvision 0.15.0 py39_cu118 pytorch
tornado 6.2 py39h5eee18b_0 defaults
tqdm 4.65.0 py39hb070fc8_0 defaults
traitlets 5.7.1 py39h06a4308_0 defaults
transformers 4.29.2 pypi_0 pypi
types-pytz 2022.4.0.0 py39h06a4308_1 defaults
typing-extensions 4.5.0 py39h06a4308_0 defaults
typing_extensions 4.5.0 py39h06a4308_0 defaults
tzdata 2023c h04d1e81_0 defaults
urllib3 1.26.15 py39h06a4308_0 defaults
uvicorn 0.22.0 py39hf3d152e_0 conda-forge
wcwidth 0.2.5 pyhd3eb1b0_0 defaults
webencodings 0.5.1 py39h06a4308_1 defaults
websocket-client 0.58.0 py39h06a4308_4 defaults
wheel 0.38.4 py39h06a4308_0 defaults
widgetsnbextension 4.0.5 py39h06a4308_0 defaults
xxhash 3.2.0 pypi_0 pypi
xz 5.4.2 h5eee18b_0 defaults
yaml 0.2.5 h7b6447c_0 defaults
yarl 1.8.1 py39h5eee18b_0 defaults
zeromq 4.3.4 h2531618_0 defaults
zipp 3.15.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h5eee18b_0 defaults
zstd 1.5.5 hc292b87_0 defaults
Additional Context
No response
Hi, thanks for the report. Could you please try the main branch of conda-lock and check if that fixes your issue?
Assuming you installed via pipx, you can install it with
pipx install --force git+https://github.com/conda/conda-lock@01e9529
where 01e9529 is the current SHA of main.
If you installed it in the current Conda environment or venv, then you can install it with
pip install git+https://github.com/conda/conda-lock@01e9529
@maresb I was facing the same issue but using conda-lock at that commit fixed it.
