Description
Hello ipyparallel devs, thanks for sharing and maintaining your package and for reading this issue. I'm getting a failure calling Client.result_status(..., status_only=False)
with this traceback:
File "C:\jjr8\DenMod\Code\Python\DenMod2\src\DenMod\Parallel\IPyParallel.py", line 428, in _GetResultsAndLogFiles
rs = self._Client.result_status(asyncResult.msg_ids, status_only=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\jjr8\AppData\Local\ESRI\conda\envs\arcgispro-py3-denmod\Lib\site-packages\ipyparallel\client\client.py", line 2271, in result_status
md.update(self._extract_metadata(md_msg))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\jjr8\AppData\Local\ESRI\conda\envs\arcgispro-py3-denmod\Lib\site-packages\ipyparallel\client\client.py", line 817, in _extract_metadata
'msg_id': parent['msg_id'],
~~~~~~^^^^^^^^^^
TypeError: 'NoneType' object is not subscriptable
I'm running ipyparallel 9.0.0 on Windows Server 2019 under Anaconda Python 3.11.10. The output of conda list
appears further below. This repros 100% in my application but, apologies, I have not constructed a toy example yet that will repro it for you. I can probably do that if really necessary. The lead-up to this failure is roughly this:
# Start the cluster.
self._Cluster = ipyparallel.Cluster(engine_timeout=20, log_level=logLevel, n=47, profile_dir=self._ProfileDir)
##### Wait for engines to start (code not shown).
# Create a load balanced view.
self._Client = self._Cluster.connect_client_sync()
self._Client[:].use_cloudpickle()
self._LoadBalancedView = self._Client.load_balanced_view()
# Start 990 tasks and wait for completion.
asyncResult = self._LoadBalancedView.map(self._Execute, tasks)
while not self._Client.wait(timeout=0.25):
pass
completed = asyncResult.progress
assert completed == len(tasks)
# Get status. The failure occurs here.
rs = self._Client.result_status(asyncResult.msg_ids, status_only=False)
The underlying problem appears to be that when result_status
sends result_request
, it doesn't get back complete records for all the msg_ids
. To investigate this, I added some print statements around line 2250 of client.py:
if status_only:
return content
print('=========================================================================')
print(content)
print('=========================================================================')
failures = []
# load cached results into result:
content.update(local_results)
The resulting content
dict looks like this (some light manual formatting applied):
{'status': 'ok',
'pending': [],
'completed': ['6d4d7fcf-0c217157edabb8a1e43e3e12_9012_100', '6d4d7fcf-0c217157edabb8a1e43e3e12_9012_1000', ...],
'6d4d7fcf-0c217157edabb8a1e43e3e12_9012_100': {'header': None, 'metadata': None, 'result_metadata': None, 'result_header': None, 'result_content': None, 'received': None, 'io': {'execute_input': None, 'execute_result': None, 'error': None, 'stdout': '2025-04-06 13:03:24.961 INFO Running on hostname geoduck, process python.exe, PID 35440\n', 'stderr': ''}},
'6d4d7fcf-0c217157edabb8a1e43e3e12_9012_1000': {'header': {'msg_id': '6d4d7fcf-0c217157edabb8a1e43e3e12_9012_1000', 'msg_type': 'apply_request', 'username': 'username', 'session': '6d4d7fcf-0c217157edabb8a1e43e3e12', 'date': '2025-04-06T17:03:00.287682Z', 'version': '5.3'}, 'metadata': {'after': [], 'follow': [], 'timeout': 0.0, 'targets': [], 'retries': 0}, 'result_metadata': {'started': '2025-04-06T17:03:40.368243Z', 'dependencies_met': True, 'engine': '4618f219-96ec25d9df6265feb878eb98', 'is_broadcast': False, 'is_coalescing': False, 'original_msg_id': '', 'status': 'ok'}, 'result_header': {'msg_id': '4618f219-96ec25d9df6265feb878eb98_13060_219', 'msg_type': 'apply_reply', 'username': 'username', 'session': '4618f219-96ec25d9df6265feb878eb98', 'date': '2025-04-06T17:03:41.040159Z', 'version': '5.3'}, 'result_content': {'status': 'ok'}, 'received': '2025-04-06T17:03:41.040159Z', 'io': {'execute_input': None, 'execute_result': None, 'error': None, 'stdout': '2025-04-06 13:03:40.368 INFO Running on hostname geoduck, process python.exe, PID 13060\n2025-04-06 13:03:40.368 INFO Creating the plot.\n2025-04-06 13:03:40.602 INFO Calling matplotlib.pyplot.savefig.\n2025-04-06 13:03:41.024 INFO matplotlib.pyplot.savefig returned without raising an exception.\n2025-04-06 13:03:41.024 INFO Returning "C:\\Users\\jjr8\\AppData\\Local\\Temp\\2\\GeoEcoTemp\\tmp82x7to5x\\Onslow 2010-2011 Left.png".\n2025-04-06 13:03:41.024 INFO Calling fileReturner.ReturnFile("C:\\Users\\jjr8\\AppData\\Local\\Temp\\2\\GeoEcoTemp\\tmp82x7to5x\\Onslow 2010-2011 Left.png")\n2025-04-06 13:03:41.040 INFO Exiting.\n', 'stderr': ''}},
...
}
The failure ultimately occurs because the _100
record has None
for 'header'
. I don't know what causes this record to be "empty" like this. I can see that 'stdout'
has the first line of output from the executed code but not the rest.
By contrast the _1000
record that follows has everything filled in and has the full 'stdout'
that I expected to see. I don't know the internal design of ipyparallel so don't really know how to interpret this, but if I were to guess, the execution of the _100
record hasn't completed yet, while the _1000
record has. If that interpretation is correct, I would have expected self._Client.wait
to return True
at this point. In any case, it is probably not the intended design that result_status
fail in the way it does, which makes me suspect a bug. But I'm very ready for this to be user error! :-)
Thanks again for reading this issue. Can you shed any light on what is happening here? Thank you very much.
Here is the output from conda list
:
# packages in environment at C:\Users\jjr8\AppData\Local\ESRI\conda\envs\arcgispro-py3-denmod:
#
# Name Version Build Channel
_openmp_mutex 4.5 2_gnu conda-forge
aiohttp 3.9.5 pypi_0 pypi
aiosignal 1.3.1 pypi_0 pypi
annotated-types 0.6.0 py_2 esri
anyio 3.5.0 py311haa95532_0
anywidget 0.9.13 py_1 esri
appdirs 1.4.4 pyhd3eb1b0_0
arcgis 2.4.0 py311_6596 esri
arcgis-mapping 4.30.0 py_305 esri
arcgispro 3.4 0 esri
arcpy 3.4 py311_arcgispro_55347 [arcgispro] esri
arcpy-base 3.4 py311_55347 esri
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py311h2bbff1b_0
arrow-cpp 16.1.0 4 esri
asciitree 0.3.3 pypi_0 pypi
asttokens 2.0.5 pyhd3eb1b0_0
async-lru 2.0.4 py_0 esri
attrs 23.1.0 py311haa95532_0
aws-crt-cpp 0.27.4 0 esri
aws-sdk-cpp-base 1.11.386 1 esri
azure-core 1.12.0 py_0 esri
azure-storage-blob 12.8.0 py_0 esri
babel 2.11.0 py311_1 esri
beautifulsoup4 4.12.3 py311haa95532_0
black 23.10.1 py311_2 esri
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
blinker 1.6.2 py311haa95532_0
boto3 1.35.73 pypi_0 pypi
botocore 1.35.73 pypi_0 pypi
bottleneck 1.3.7 py311hd7041d2_0
brotli 1.1.0 1 esri
brotli-bin 1.1.0 1 esri
brotli-python 1.0.9 py311hd77b12b_8
bzip2 1.0.8 h2466b09_7 conda-forge
c-ares 1.19.1 0 esri
cachetools 5.3.3 py311haa95532_0
cachier 3.1.2.dev0+7fd5d9b pypi_0 pypi
certifi 2024.8.30 py311haa95532_0
cffi 1.16.0 py311h2bbff1b_1
cftime 1.6.3 py311_0 esri
chardet 4.0.0 py311haa95532_1003
charset-normalizer 3.3.2 pyhd3eb1b0_0
click 8.1.7 py311haa95532_0
cloudpickle 3.0.0 py311haa95532_0
colorama 0.4.6 py311haa95532_0
comm 0.2.2 py_0 esri
contourpy 1.2.0 py311h59b6b97_0
copernicusmarine 1.3.0 pypi_0 pypi
cppzmq 4.9.0 0 esri
cryptography 43.0.1 py311_0 esri
cycler 0.11.0 pyhd3eb1b0_0
cytoolz 0.12.2 py311h2bbff1b_0
dask 2023.3.2 py_0 esri
dask-core 2023.3.2 py_0 esri
debugpy 1.6.7 py311hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
denmod2 2.0.0.dev1 pypi_0 pypi
distributed 2023.3.2 py_0 esri
dnspython 2.7.0 pypi_0 pypi
docutils 0.21.2 pypi_0 pypi
dpcpp-cpp-rt 2022.2.1 arcgispro_19741 [arcgispro] esri
entrypoints 0.4 py311haa95532_0
et_xmlfile 1.1.0 py311haa95532_0
ete3 3.1.3 pypi_0 pypi
exceptiongroup 1.0.0rc9 pyhd8ed1ab_0 esri
executing 0.8.3 pyhd3eb1b0_0
fasteners 0.17.3 pypi_0 pypi
flake8 7.0.0 py311haa95532_0
fonttools 4.51.0 py311h2bbff1b_0
freetype 2.13.2 1 esri
frozenlist 1.5.0 pypi_0 pypi
fsspec 2024.6.1 py311haa95532_0
future 0.18.3 py311_0 esri
gdal 3.9.2 arcgispro_py311_17844 [arcgispro] esri
geomet 1.0.0 py_0 esri
gettext 0.22.5 h5728263_3 conda-forge
gettext-tools 0.22.5 h5a7288d_3 conda-forge
glib 2.82.2 h3d4babf_1 conda-forge
glib-tools 2.82.2 h4394cf3_1 conda-forge
greenlet 3.0.3 pypi_0 pypi
gssapi 1.8.2 pypi_0 pypi
gst-plugins-base 1.22.9 h001b923_1 conda-forge
gstreamer 1.22.9 hb4038d2_1 conda-forge
h11 0.14.0 py311haa95532_0
h5py 3.10.0 arcgispro_py311_0 [arcgispro] esri
httpcore 1.0.2 py311haa95532_0
httpx 0.27.0 py311haa95532_0
icc_rt 2022.2.1 arcgispro_19741 [arcgispro] esri
icu 70.1 h0e60522_0 conda-forge
idna 3.7 py311haa95532_0
importlib-metadata 7.0.1 py311haa95532_0
importlib_metadata 7.0.1 hd3eb1b0_0
importlib_resources 6.4.0 py311haa95532_0
iniconfig 1.1.1 pyhd3eb1b0_0 esri
intel-cmplr-lib-rt 2022.2.1 arcgispro_19741 [arcgispro] esri
intel-fortran-rt 2022.2.1 arcgispro_19741 [arcgispro] esri
intel-openmp 2022.2.1 arcgispro_19741 [arcgispro] esri
ipykernel 6.29.5 pyh5f5efe1_0 esri
ipyparallel 9.0.0 pypi_0 pypi
ipython 8.18.1 pyh3a91677_1 esri
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 8.1.5 py_0 esri
isodate 0.6.0 py_0 esri
jdcal 1.4.1 pyhd3eb1b0_0
jedi 0.18.2 py_1 esri
jinja2 3.1.4 py311haa95532_0
jmespath 1.0.1 pypi_0 pypi
jpeg 9e 0 esri
json5 0.9.25 py_0 esri
jsonschema 4.19.2 py311haa95532_0
jsonschema-specifications 2023.7.1 py311haa95532_0
jupyter-lsp 2.2.0 py_0 esri
jupyter_client 8.6.0 py_0 esri
jupyter_console 6.6.3 py_0 esri
jupyter_core 5.5.1 py311_1 esri
jupyter_events 0.10.0 py_0 esri
jupyter_server 2.14.2 py_0 esri
jupyter_server_terminals 0.4.4 py311haa95532_1
jupyterlab 4.2.4 py_0 esri
jupyterlab_pygments 0.3.0 py_1 esri
jupyterlab_server 2.27.3 py_0 esri
jupyterlab_widgets 3.0.13 py_0 esri
keyring 24.3.0 py311_1 esri
kiwisolver 1.4.4 py311hd77b12b_0
krb5 1.20.1 heb0366b_0 conda-forge
libabseil 20230125.3 0 esri
libasprintf 0.22.5 h5728263_3 conda-forge
libasprintf-devel 0.22.5 h5728263_3 conda-forge
libbrotlicommon 1.1.0 1 esri
libbrotlidec 1.1.0 1 esri
libbrotlienc 1.1.0 1 esri
libclang 15.0.7 default_h3a3e6c3_5 conda-forge
libclang13 15.0.7 default_hf64faad_5 conda-forge
libdeflate 1.20 1 esri
libffi 3.4.6 h537db12_0 conda-forge
libgcc 14.2.0 h1383e82_1 conda-forge
libgettextpo 0.22.5 h5728263_3 conda-forge
libgettextpo-devel 0.22.5 h5728263_3 conda-forge
libglib 2.82.2 h7025463_1 conda-forge
libgomp 14.2.0 h1383e82_1 conda-forge
libiconv 1.17 hcfcfb64_2 conda-forge
libintl 0.22.5 h5728263_3 conda-forge
libintl-devel 0.22.5 h5728263_3 conda-forge
libogg 1.3.5 h2466b09_0 conda-forge
libpng 1.6.43 1 esri
libprotobuf 3.21.12 4 esri
libsodium 1.0.18 5 esri
libsqlite 3.48.0 h67fdade_1 conda-forge
libthrift 0.20.0 0 esri
libtiff 4.6.0 4 esri
libutf8proc 2.8.0 0 esri
libvorbis 1.3.7 h0e60522_0 conda-forge
libwinpthread 12.0.0.r4.gg4f2fc60ca h57928b3_9 conda-forge
libxcb 1.17.0 h0e4246c_0 conda-forge
libxml2 2.12.9 arcgispro_0 [arcgispro] esri
libxslt 1.1.42 0 esri
libzlib 1.3.1 h2466b09_2 conda-forge
locket 1.0.0 py311haa95532_0
lxml 5.3.0 py311_0 esri
lz4 4.3.2 py311h2bbff1b_0
lz4-c 1.9.4 1 esri
markupsafe 2.1.3 py311h2bbff1b_0
matplotlib 3.6.3 py311_arcgispro_2 [arcgispro] esri
matplotlib-base 3.6.3 py311_arcgispro_2 [arcgispro] esri
matplotlib-inline 0.1.6 py311haa95532_0
mccabe 0.7.0 pyhd3eb1b0_0
mget3 3.2.0 pypi_0 pypi
mistune 2.0.4 py311haa95532_0
mkl 2022.2.1 arcgispro_19755 [arcgispro] esri
mkl-service 2.4.1 py311_arcgispro_0 [arcgispro] esri
mkl_fft 1.3.10 py311_arcgispro_0 [arcgispro] esri
mkl_random 1.2.7 py311_arcgispro_0 [arcgispro] esri
mpmath 1.3.0 py311haa95532_0
msgpack-python 1.0.3 py311h59b6b97_0
msrest 0.6.21 py_0 esri
multidict 6.1.0 pypi_0 pypi
mypy_extensions 1.0.0 py311haa95532_0
nbclassic 1.1.0 py_1 esri
nbclient 0.8.0 py_0 esri
nbconvert 7.16.4 py_0 esri
nbformat 5.10.4 py_0 esri
nest-asyncio 1.6.0 py311haa95532_0
netcdf4 1.6.4 py311_arcgispro_4 [arcgispro] esri
networkx 3.3 py311haa95532_0
nlohmann_json 3.11.2 0 esri
nose 1.3.7 pyhd3eb1b0_1008
notebook 7.2.1 py_1 esri
notebook-shim 0.2.4 py_0 esri
numcodecs 0.14.1 pypi_0 pypi
numexpr 2.8.4 py311_2 esri
numpy 1.24.3 py311_1 esri
numpy-base 1.24.3 py311_1 esri
oauthlib 3.2.2 py_0 esri
olefile 0.46 pyhd3eb1b0_0
openpyxl 3.1.2 py311h2bbff1b_0
openssl 3.0.15 1 esri
orc 2.0.0 0 esri
overrides 7.4.0 py311haa95532_0
packaging 24.1 py311haa95532_0
pandas 2.0.2 py311_0 esri
pandocfilters 1.5.0 pyhd3eb1b0_0
parso 0.8.3 pyhd3eb1b0_0
partd 1.4.1 py311haa95532_0
pathspec 0.9.0 py_0 esri
patsy 0.5.6 py311haa95532_0
pcre2 10.44 h3d7b363_2 conda-forge
pefile 2022.5.30 pyhd8ed1ab_0 esri
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 10.4.0 py311_3 esri
pip 23.3.2 py311_0 esri
platformdirs 3.10.0 py311haa95532_0
playwright 1.42.0 pypi_0 pypi
pluggy 1.0.0 py311haa95532_1
ply 3.11 pypi_0 pypi
portalocker 3.0.0 pypi_0 pypi
prettytable 3.12.0 pypi_0 pypi
pro_notebook_integration 3.4 py311_10 esri
prometheus_client 0.20.0 py_0 esri
prompt-toolkit 3.0.47 py_0 esri
prompt_toolkit 3.0.47 0 esri
propcache 0.2.0 pypi_0 pypi
protobuf 4.21.12 py311_5 esri
psutil 5.9.0 py311h2bbff1b_0
psygnal 0.11.0 py_0 esri
pthread-stubs 0.4 h0e40799_1002 conda-forge
pure_eval 0.2.2 pyhd3eb1b0_0
puremagic 1.15 py_0 esri
pyarrow 16.1.0 py311_2 esri
pybind11 2.10.4 2 esri
pybind11_json 0.2.13 2 esri
pycodestyle 2.11.1 py311haa95532_0
pycparser 2.21 pyhd3eb1b0_0
pydantic 2.4.2 py_1 esri
pydantic-core 2.10.1 py311_1 esri
pyee 11.0.1 pypi_0 pypi
pyflakes 3.2.0 py311haa95532_0
pygments 2.18.0 py_0 esri
pyjwt 2.4.0 py_1 esri
pylerc 4.0 py_0 esri
pymongo 4.10.1 pypi_0 pypi
pyodbc 5.0.1 py311hd77b12b_0
pyparsing 3.1.2 py311haa95532_0
pypdf 4.3.1 py_1 esri
pyqt 5.15.9 py311h125bc19_5 conda-forge
pyqt5 5.15.9 pypi_0 pypi
pyqt5-sip 12.12.2 pypi_0 pypi
pyshp 2.3.1 py311haa95532_0
pysocks 1.7.1 py311haa95532_0
pyspnego 0.11.1 py311_0 esri
pystac 1.11.0 pypi_0 pypi
pytest 7.4.3 py311_0 esri
python 3.11.10 0 esri
python-dateutil 2.9.0post0 py311haa95532_2
python-fastjsonschema 2.16.2 py311haa95532_0
python-gssapi 1.8.2 py311hf92330d_2 conda-forge
python-json-logger 2.0.7 py311haa95532_0
python-tzdata 2025.1 pyhd8ed1ab_0 conda-forge
python_abi 3.11 2_cp311 conda-forge
pytz 2022.6 py311_0 esri
pywin32 307 pypi_0 pypi
pywin32-ctypes 0.2.0 py311_1 esri
pywin32-security 306 py311_2 esri
pywinpty 2.0.10 py311h5da7b33_0
pyyaml 6.0.1 py311h2bbff1b_0
pyzmq 25.1.2 py311_0 esri
qt-main 5.15.8 h720456b_6 conda-forge
re2 2023.06.02 0 esri
referencing 0.30.2 py311haa95532_0
regex 2023.10.3 py311h2bbff1b_0
requests 2.31.0 py311haa95532_1
requests-gssapi 1.2.3 py_2 esri
requests-kerberos 0.14.0 pyh424387f_4 esri
requests-oauthlib 2.0.0 py311haa95532_0
requests-toolbelt 1.0.0 py_0 esri
rfc3339-validator 0.1.4 py311haa95532_0
rfc3986-validator 0.1.1 py311haa95532_0
rpds-py 0.10.6 py311h062c2fa_0
ruamel.yaml 0.17.21 py311h2bbff1b_0
s3transfer 0.10.4 pypi_0 pypi
saspy 4.3.2 py_1 esri
scikit-fmm 2025.1.29 pypi_0 pypi
scipy 1.9.3 py311_4 esri
seaborn 0.13.2 py311haa95532_0
semver 3.0.2 pypi_0 pypi
send2trash 1.8.2 py311haa95532_0
setuptools 74.1.2 py311_0 esri
setuptools-scm 8.1.0 pypi_0 pypi
setuptools_scm 8.1.0 hd8ed1ab_1 conda-forge
sip 6.7.12 pypi_0 pypi
six 1.16.0 py_0 esri
snappy 1.2.1 0 esri
sniffio 1.3.0 py311haa95532_0
sortedcontainers 2.4.0 pyhd3eb1b0_0
soupsieve 2.5 py311haa95532_0
sqlalchemy 2.0.32 py311_0 esri
sqlite 3.46.1 0 esri
sspilib 0.1.0 py311_0 esri
stack_data 0.5.1 py_0 esri
statsmodels 0.14.0 py311hd7041d2_0
swat 1.13.3 py311_1 esri
sympy 1.12 py311_0 esri
tblib 1.7.0 pyhd3eb1b0_0
terminado 0.17.1 py311haa95532_0
testpath 0.5.0 py_0 esri
tinycss2 1.1.1 py_0 esri
toml 0.10.2 pyhd3eb1b0_0
tomli 2.0.1 py311haa95532_0
toolz 0.12.0 py311haa95532_0
tornado 6.3.3 py311h2bbff1b_0
tqdm 4.66.5 py311h746a85d_0
traitlets 5.14.3 py311haa95532_0
truststore 0.9.1 py_0 esri
typing-extensions 4.11.0 py311haa95532_0
typing_extensions 4.11.0 py311haa95532_0
tzdata 2025.1 pypi_0 pypi
tzlocal 5.3 pypi_0 pypi
ucrt 10.0.22621.0 h57928b3_1 conda-forge
ujson 5.4.0 py311hd77b12b_0
unicodedata2 15.1.0 py311h2bbff1b_0
urllib3 2.2.2 py311haa95532_0
vc 14.2 h21ff451_1
vc14_runtime 14.42.34433 he29a5d6_23 conda-forge
vs2015_runtime 14.42.34433 hdffcdeb_23 conda-forge
watchdog 6.0.0 pypi_0 pypi
watchfiles 0.21.0 py311h062c2fa_0
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py311haa95532_1
websocket-client 1.8.0 py311haa95532_0
wheel 0.44.0 py311haa95532_0
widgetsnbextension 4.0.13 py_0 esri
win_inet_pton 1.1.0 py311_1 esri
winkerberos 0.9.1 py311_0 esri
winpty 0.4.3 4
wrapt 1.14.1 py311h2bbff1b_0
xarray 2023.6.0 py311haa95532_0
xeus 3.0.5 0 esri
xeus-python 0.15.8 py311_2 esri
xeus-python-shell 0.6.3 1 esri
xeus-python-shell-raw 0.6.3 py_1 esri
xeus-zmq 1.0.2 3 esri
xlrd 2.0.1 pyhd3eb1b0_1
xlwt 1.3.0 py311haa95532_0
xorg-libice 1.1.2 h0e40799_0 conda-forge
xorg-libsm 1.2.5 h0e40799_0 conda-forge
xorg-libx11 1.8.11 hf48077a_0 conda-forge
xorg-libxau 1.0.12 h0e40799_0 conda-forge
xorg-libxdmcp 1.1.5 h0e40799_0 conda-forge
xorg-libxext 1.3.6 h0e40799_0 conda-forge
xorg-libxrender 0.9.12 h0e40799_0 conda-forge
xorg-xextproto 7.3.0 h0e40799_1004 conda-forge
xtl 0.7.5 0 esri
xz 5.4.7 0 esri
yaml 0.2.5 0 esri
yarl 1.18.0 pypi_0 pypi
zarr 2.18.3 pypi_0 pypi
zeromq 4.3.5 0 esri
zict 3.0.0 py_0 esri
zipp 3.17.0 py311haa95532_0
zlib 1.3.1 h2466b09_2 conda-forge
zlib-ng 2.1.6 2 esri
zstd 1.5.6 1 esri