Last active
January 5, 2025 13:51
-
-
Save GenevieveBuckley/eb1545202ee2816d303438cb0b3af0e9 to your computer and use it in GitHub Desktop.
napari-bootstrapper inference error
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Scan, chunks processed: 100%|█████████████████████| 6/6 [00:00<00:00, 6.69it/s] | |
Traceback (most recent call last): | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/superqt/utils/_qthreading.py", line 613, in reraise | |
raise e | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/superqt/utils/_qthreading.py", line 175, in run | |
result = self.work() | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/superqt/utils/_qthreading.py", line 354, in work | |
return self._func(*self._args, **self._kwargs) | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/napari_bootstrapper/_widget.py", line 331, in _run_prediction | |
out_lsds = prepare_ds( | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/persistence/arrays/datasets.py", line 197, in prepare_ds | |
given_metadata = metadata_format.parse( | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/persistence/arrays/metadata.py", line 94, in parse | |
offset = Coordinate(offset) if offset is not None else None | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/geometry/coordinate.py", line 33, in __new__ | |
cls, [int(x) if x is not None else None for x in array_like] | |
File "/home/supervisor/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/geometry/coordinate.py", line 33, in <listcomp> | |
cls, [int(x) if x is not None else None for x in array_like] | |
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'Roi' | |
If you suspect this is an IPython 8.29.0 bug, please report it at: | |
https://github.com/ipython/ipython/issues | |
or send an email to the mailing list at [email protected] | |
You can print a more detailed traceback right now with "%tb", or use "%debug" | |
to interactively debug it. | |
Extra-detailed tracebacks for bug-reporting purposes can be enabled via: | |
%config Application.verbose_crash=True | |
In [46]: %tb | |
--------------------------------------------------------------------------- | |
TypeError Traceback (most recent call last) | |
File ~/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/superqt/utils/_qthreading.py:175, in WorkerBase.run(self) | |
173 warnings.filterwarnings("always") | |
174 warnings.showwarning = lambda *w: self.warned.emit(w) | |
--> 175 result = self.work() | |
176 if isinstance(result, Exception): | |
177 if isinstance(result, RuntimeError): | |
178 # The Worker object has likely been deleted. | |
179 # A deleted wrapped C/C++ object may result in a runtime | |
180 # error that will cause segfault if we try to do much other | |
181 # than simply notify the user. | |
File ~/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/superqt/utils/_qthreading.py:354, in FunctionWorker.work(self) | |
353 def work(self) -> _R: | |
--> 354 return self._func(*self._args, **self._kwargs) | |
File ~/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/napari_bootstrapper/_widget.py:331, in Bootstrapper.RunInference._run_prediction(self) | |
328 lsds_roi = Roi(Coordinate(lsds_offset),Coordinate(full_lsds.shape[1:])*voxel_size) | |
330 # write lsds to zarr | |
--> 331 out_lsds = prepare_ds( | |
332 self.zarr_container, | |
333 self.lsds_dataset, | |
334 lsds_roi, | |
335 voxel_size, | |
336 dtype=np.uint8, | |
337 delete=True, | |
338 num_channels=6) | |
340 out_lsds[lsds_roi] = full_lsds | |
341 print("Lsds inference complete!") | |
File ~/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/persistence/arrays/datasets.py:197, in prepare_ds(store, shape, offset, voxel_size, axis_names, units, chunk_shape, dtype, mode, **kwargs) | |
133 """Prepare a Zarr or N5 dataset. | |
134 | |
135 Args: | |
(...) | |
193 A :class:`Array` pointing to the newly created dataset. | |
194 """ | |
196 metadata_format = get_default_metadata_format() | |
--> 197 given_metadata = metadata_format.parse( | |
198 shape, | |
199 {}, | |
200 offset=offset, | |
201 voxel_size=voxel_size, | |
202 axis_names=axis_names, | |
203 units=units, | |
204 ) | |
206 try: | |
207 existing_array = open_ds(store, mode="r", **kwargs) | |
File ~/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/persistence/arrays/metadata.py:94, in MetaDataFormat.parse(self, shape, data, offset, voxel_size, axis_names, units) | |
87 if units is not None and len(units) == len(axis_names): | |
88 units = [ | |
89 u | |
90 for u, channel_dim in zip(units, channel_dims) | |
91 if not channel_dim | |
92 ] | |
---> 94 offset = Coordinate(offset) if offset is not None else None | |
95 voxel_size = Coordinate(voxel_size) if voxel_size is not None else None | |
96 axis_names = list(axis_names) if axis_names is not None else None | |
File ~/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/geometry/coordinate.py:33, in Coordinate.__new__(cls, *array_like) | |
30 if len(array_like) == 1 and isinstance(array_like[0], Iterable): | |
31 array_like = array_like[0] | |
32 return super(Coordinate, cls).__new__( | |
---> 33 cls, [int(x) if x is not None else None for x in array_like] | |
34 ) | |
File ~/miniforge3/envs/napari-bootstrapper/lib/python3.10/site-packages/funlib/geometry/coordinate.py:33, in <listcomp>(.0) | |
30 if len(array_like) == 1 and isinstance(array_like[0], Iterable): | |
31 array_like = array_like[0] | |
32 return super(Coordinate, cls).__new__( | |
---> 33 cls, [int(x) if x is not None else None for x in array_like] | |
34 ) | |
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'Roi' | |
In [47]: | |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
$ conda list | |
# packages in environment at /home/supervisor/miniforge3/envs/napari-bootstrapper: | |
# | |
# Name Version Build Channel | |
_libgcc_mutex 0.1 conda_forge conda-forge | |
_openmp_mutex 4.5 2_gnu conda-forge | |
absl-py 2.1.0 pypi_0 pypi | |
aiohappyeyeballs 2.4.3 pyhd8ed1ab_0 conda-forge | |
aiohttp 3.11.8 py310h89163eb_0 conda-forge | |
aiosignal 1.3.1 pyhd8ed1ab_0 conda-forge | |
alabaster 1.0.0 pypi_0 pypi | |
annotated-types 0.7.0 pypi_0 pypi | |
aom 3.9.1 hac33072_0 conda-forge | |
app-model 0.3.0 pypi_0 pypi | |
appdirs 1.4.4 pypi_0 pypi | |
asciitree 0.3.3 pypi_0 pypi | |
asttokens 2.4.1 pypi_0 pypi | |
async-timeout 5.0.1 pyhd8ed1ab_0 conda-forge | |
atomicwrites 1.4.1 pypi_0 pypi | |
attrs 24.2.0 pyh71513ae_0 conda-forge | |
augment-nd 0.1.3 pypi_0 pypi | |
autoseg 0.1 pypi_0 pypi | |
babel 2.16.0 pypi_0 pypi | |
blosc 1.21.6 hef167b5_0 conda-forge | |
boost 1.85.0 hb7f781d_4 conda-forge | |
brotli 1.1.0 hb9d3cd8_2 conda-forge | |
brotli-bin 1.1.0 hb9d3cd8_2 conda-forge | |
brotli-python 1.1.0 py310hf71b8c6_2 conda-forge | |
brunsli 0.1 h9c3ff4c_0 conda-forge | |
build 1.2.2.post1 pypi_0 pypi | |
bzip2 1.0.8 h4bc722e_7 conda-forge | |
c-blosc2 2.15.1 hc57e6cf_0 conda-forge | |
ca-certificates 2024.8.30 hbcca054_0 conda-forge | |
cachetools 5.5.0 pypi_0 pypi | |
cachey 0.2.1 pypi_0 pypi | |
certifi 2024.8.30 pyhd8ed1ab_0 conda-forge | |
cffi 1.17.1 py310h8deb56e_0 conda-forge | |
charls 2.4.2 h59595ed_0 conda-forge | |
charset-normalizer 3.4.0 pyhd8ed1ab_0 conda-forge | |
click 8.1.7 unix_pyh707e725_0 conda-forge | |
cloudpickle 3.1.0 pyhd8ed1ab_1 conda-forge | |
comm 0.2.2 pypi_0 pypi | |
contourpy 1.3.1 pypi_0 pypi | |
cpython 3.10.15 py310hd8ed1ab_2 conda-forge | |
cuda-cudart 11.8.89 0 nvidia | |
cuda-cupti 11.8.87 0 nvidia | |
cuda-libraries 11.8.0 0 nvidia | |
cuda-nvrtc 11.8.89 0 nvidia | |
cuda-nvtx 11.8.86 0 nvidia | |
cuda-runtime 11.8.0 0 nvidia | |
cuda-version 12.6 3 nvidia | |
cycler 0.12.1 pypi_0 pypi | |
cython 3.0.11 pypi_0 pypi | |
cytoolz 1.0.0 py310ha75aee5_1 conda-forge | |
daisy 1.2.2 pypi_0 pypi | |
dask-core 2024.11.2 pyhff2d567_1 conda-forge | |
dav1d 1.2.1 hd590300_0 conda-forge | |
debugpy 1.8.8 pypi_0 pypi | |
decorator 5.1.1 pypi_0 pypi | |
dill 0.3.9 pypi_0 pypi | |
distributed 2024.11.2 pyhff2d567_1 conda-forge | |
dnspython 2.7.0 pypi_0 pypi | |
docstring-parser 0.16 pypi_0 pypi | |
docutils 0.21.2 pypi_0 pypi | |
exceptiongroup 1.2.2 pypi_0 pypi | |
executing 2.1.0 pypi_0 pypi | |
fasteners 0.19 pypi_0 pypi | |
filelock 3.16.1 pyhd8ed1ab_0 conda-forge | |
flexcache 0.3 pypi_0 pypi | |
flexparser 0.4 pypi_0 pypi | |
fonttools 4.55.0 pypi_0 pypi | |
freetype 2.12.1 h267a509_2 conda-forge | |
freetype-py 2.5.1 pypi_0 pypi | |
frozenlist 1.5.0 py310ha75aee5_0 conda-forge | |
fsspec 2024.10.0 pyhff2d567_0 conda-forge | |
funlib-evaluate 0.1 pypi_0 pypi | |
funlib-geometry 0.3.0 pypi_0 pypi | |
funlib-learn-torch 0.1.0 pypi_0 pypi | |
funlib-math 0.1 pypi_0 pypi | |
funlib-persistence 0.5.3 pypi_0 pypi | |
funlib-segment 0.1 pypi_0 pypi | |
funlib-show-neuroglancer 0.2 pypi_0 pypi | |
giflib 5.2.2 hd590300_0 conda-forge | |
gmp 6.3.0 hac33072_2 conda-forge | |
gmpy2 2.1.5 py310he8512ff_2 conda-forge | |
google-apitools 0.5.32 pypi_0 pypi | |
google-auth 2.36.0 pypi_0 pypi | |
grpcio 1.67.1 pypi_0 pypi | |
gunpowder 1.4.0 pypi_0 pypi | |
h2 4.1.0 pyhd8ed1ab_0 conda-forge | |
h5py 3.12.1 pypi_0 pypi | |
heapdict 1.0.1 pypi_0 pypi | |
hpack 4.0.0 pyh9f0ad1d_0 conda-forge | |
hsluv 5.0.4 pypi_0 pypi | |
httplib2 0.22.0 pypi_0 pypi | |
hyperframe 6.0.1 pyhd8ed1ab_0 conda-forge | |
icu 75.1 he02047a_0 conda-forge | |
idna 3.10 pyhd8ed1ab_0 conda-forge | |
imagecodecs 2024.9.22 py310hdbe5077_0 conda-forge | |
imageio 2.36.0 pypi_0 pypi | |
imagesize 1.4.1 pypi_0 pypi | |
importlib-metadata 8.5.0 pyha770c72_0 conda-forge | |
in-n-out 0.2.1 pypi_0 pypi | |
ipykernel 6.29.5 pypi_0 pypi | |
ipython 8.29.0 pypi_0 pypi | |
jedi 0.19.2 pypi_0 pypi | |
jinja2 3.1.4 pyhd8ed1ab_0 conda-forge | |
jsmin 3.0.1 pypi_0 pypi | |
jsonschema 4.23.0 pypi_0 pypi | |
jsonschema-specifications 2024.10.1 pypi_0 pypi | |
jupyter-client 8.6.3 pypi_0 pypi | |
jupyter-core 5.7.2 pypi_0 pypi | |
jxrlib 1.1 hd590300_3 conda-forge | |
kiwisolver 1.4.7 pypi_0 pypi | |
lazy-loader 0.4 pyhd8ed1ab_1 conda-forge | |
lazy_loader 0.4 pyhd8ed1ab_1 conda-forge | |
lcms2 2.16 hb7c19ff_0 conda-forge | |
ld_impl_linux-64 2.43 h712a8e2_2 conda-forge | |
lerc 4.0.0 h27087fc_0 conda-forge | |
libabseil 20240722.0 cxx17_h5888daf_1 conda-forge | |
libaec 1.1.3 h59595ed_0 conda-forge | |
libavif16 1.1.1 h1909e37_2 conda-forge | |
libblas 3.9.0 25_linux64_openblas conda-forge | |
libboost 1.85.0 h0ccab89_4 conda-forge | |
libboost-devel 1.85.0 h00ab1b0_4 conda-forge | |
libboost-headers 1.85.0 ha770c72_4 conda-forge | |
libboost-python 1.85.0 py310ha7c98ff_4 conda-forge | |
libboost-python-devel 1.85.0 py310hb7f781d_4 conda-forge | |
libbrotlicommon 1.1.0 hb9d3cd8_2 conda-forge | |
libbrotlidec 1.1.0 hb9d3cd8_2 conda-forge | |
libbrotlienc 1.1.0 hb9d3cd8_2 conda-forge | |
libcblas 3.9.0 25_linux64_openblas conda-forge | |
libcublas 11.11.3.6 0 nvidia | |
libcufft 10.9.0.58 0 nvidia | |
libcufile 1.11.1.6 0 nvidia | |
libcurand 10.3.7.77 0 nvidia | |
libcusolver 11.4.1.48 0 nvidia | |
libcusparse 11.7.5.86 0 nvidia | |
libdeflate 1.22 hb9d3cd8_0 conda-forge | |
libffi 3.4.2 h7f98852_5 conda-forge | |
libgcc 14.2.0 h77fa898_1 conda-forge | |
libgcc-ng 14.2.0 h69a702a_1 conda-forge | |
libgfortran 14.2.0 h69a702a_1 conda-forge | |
libgfortran5 14.2.0 hd5240d6_1 conda-forge | |
libgomp 14.2.0 h77fa898_1 conda-forge | |
libhwy 1.1.0 h00ab1b0_0 conda-forge | |
libjpeg-turbo 3.0.0 hd590300_1 conda-forge | |
libjxl 0.11.1 hdb8da77_0 conda-forge | |
liblapack 3.9.0 25_linux64_openblas conda-forge | |
libnpp 11.8.0.86 0 nvidia | |
libnsl 2.0.1 hd590300_0 conda-forge | |
libnvjpeg 11.9.0.86 0 nvidia | |
libopenblas 0.3.28 pthreads_h94d23a6_1 conda-forge | |
libpng 1.6.44 hadc24fc_0 conda-forge | |
libprotobuf 5.28.2 h5b01275_0 conda-forge | |
libsqlite 3.47.0 hadc24fc_1 conda-forge | |
libstdcxx 14.2.0 hc0a3c3a_1 conda-forge | |
libstdcxx-ng 14.2.0 h4852527_1 conda-forge | |
libtiff 4.7.0 he137b08_1 conda-forge | |
libtorch 2.5.1 cpu_generic_h00f31c6_3 conda-forge | |
libuuid 2.38.1 h0b41bf4_0 conda-forge | |
libuv 1.49.2 hb9d3cd8_0 conda-forge | |
libwebp-base 1.4.0 hd590300_0 conda-forge | |
libxcb 1.17.0 h8a09558_0 conda-forge | |
libxcrypt 4.4.36 hd590300_1 conda-forge | |
libzlib 1.3.1 hb9d3cd8_2 conda-forge | |
libzopfli 1.0.3 h9c3ff4c_0 conda-forge | |
llvmlite 0.43.0 pypi_0 pypi | |
locket 1.0.0 pyhd8ed1ab_0 conda-forge | |
lsds 0.1.3 pypi_0 pypi | |
lz4-c 1.9.4 hcb278e6_0 conda-forge | |
macro-kit 0.4.9 pypi_0 pypi | |
magic-class 0.7.14 pypi_0 pypi | |
magicgui 0.9.1 pypi_0 pypi | |
mahotas 1.4.18 pypi_0 pypi | |
markdown 3.7 pypi_0 pypi | |
markdown-it-py 3.0.0 pypi_0 pypi | |
markupsafe 3.0.2 py310h89163eb_0 conda-forge | |
matplotlib 3.9.2 pypi_0 pypi | |
matplotlib-inline 0.1.7 pypi_0 pypi | |
mdurl 0.1.2 pypi_0 pypi | |
mpc 1.3.1 h24ddda3_1 conda-forge | |
mpfr 4.2.1 h90cbb55_3 conda-forge | |
mpmath 1.3.0 pyhd8ed1ab_0 conda-forge | |
msgpack-python 1.1.0 py310h3788b33_0 conda-forge | |
multidict 6.1.0 py310h89163eb_1 conda-forge | |
multiscale-spatial-image 2.0.2 pypi_0 pypi | |
napari 0.5.4 pypi_0 pypi | |
napari-bootstrapper 0.0.1 pypi_0 pypi | |
napari-console 0.1.1 pypi_0 pypi | |
napari-plugin-engine 0.2.0 pypi_0 pypi | |
napari-plugin-manager 0.1.3 pypi_0 pypi | |
napari-svg 0.2.0 pypi_0 pypi | |
ncurses 6.5 he02047a_1 conda-forge | |
nest-asyncio 1.6.0 pypi_0 pypi | |
networkx 3.4 pyhd8ed1ab_0 conda-forge | |
neuroglancer 2.40.1 pypi_0 pypi | |
nomkl 1.0 h5ca1d4c_0 conda-forge | |
npe2 0.7.7 pypi_0 pypi | |
numba 0.60.0 pypi_0 pypi | |
numcodecs 0.13.1 py310h5eaa309_0 conda-forge | |
numpy 1.26.4 pypi_0 pypi | |
numpydoc 1.8.0 pypi_0 pypi | |
oauth2client 4.1.3 pypi_0 pypi | |
ome-zarr 0.9.0 pyhd8ed1ab_0 conda-forge | |
openjpeg 2.5.2 h488ebb8_0 conda-forge | |
openssl 3.4.0 hb9d3cd8_0 conda-forge | |
packaging 24.2 pyhff2d567_1 conda-forge | |
pandas 2.2.3 pypi_0 pypi | |
parso 0.8.4 pypi_0 pypi | |
partd 1.4.2 pyhd8ed1ab_0 conda-forge | |
pexpect 4.9.0 pypi_0 pypi | |
pillow 11.0.0 py310hfeaa1f3_0 conda-forge | |
pint 0.24.4 pypi_0 pypi | |
pip 24.3.1 pyh8b19718_0 conda-forge | |
platformdirs 4.3.6 pypi_0 pypi | |
pooch 1.8.2 pypi_0 pypi | |
prompt-toolkit 3.0.48 pypi_0 pypi | |
propcache 0.2.0 py310ha75aee5_2 conda-forge | |
protobuf 5.28.3 pypi_0 pypi | |
psutil 6.1.0 py310ha75aee5_0 conda-forge | |
psycopg2-binary 2.9.10 pypi_0 pypi | |
psygnal 0.11.1 pypi_0 pypi | |
pthread-stubs 0.4 hb9d3cd8_1002 conda-forge | |
ptyprocess 0.7.0 pypi_0 pypi | |
pure-eval 0.2.3 pypi_0 pypi | |
pyasn1 0.6.1 pypi_0 pypi | |
pyasn1-modules 0.4.1 pypi_0 pypi | |
pyconify 0.1.6 pypi_0 pypi | |
pycparser 2.22 pyhd8ed1ab_0 conda-forge | |
pydantic 2.9.2 pypi_0 pypi | |
pydantic-compat 0.1.2 pypi_0 pypi | |
pydantic-core 2.23.4 pypi_0 pypi | |
pygments 2.18.0 pypi_0 pypi | |
pymongo 4.10.1 pypi_0 pypi | |
pyopengl 3.1.7 pypi_0 pypi | |
pyparsing 3.2.0 pypi_0 pypi | |
pyproject-hooks 1.2.0 pypi_0 pypi | |
pyqt5 5.15.11 pypi_0 pypi | |
pyqt5-qt5 5.15.15 pypi_0 pypi | |
pyqt5-sip 12.15.0 pypi_0 pypi | |
pysocks 1.7.1 pyha2e5f31_6 conda-forge | |
python 3.10.15 h4a871b0_2_cpython conda-forge | |
python-dateutil 2.9.0.post0 pypi_0 pypi | |
python_abi 3.10 5_cp310 conda-forge | |
pytorch 2.5.1 cpu_generic_py310hae68ee8_3 conda-forge | |
pytorch-cuda 11.8 h7e8668a_6 pytorch | |
pytz 2024.2 pypi_0 pypi | |
pywavelets 1.7.0 py310hf462985_2 conda-forge | |
pyyaml 6.0.2 py310ha75aee5_1 conda-forge | |
pyzmq 26.2.0 pypi_0 pypi | |
qtconsole 5.6.1 pypi_0 pypi | |
qtpy 2.4.2 pypi_0 pypi | |
rav1e 0.6.6 he8a937b_2 conda-forge | |
readline 8.2 h8228510_1 conda-forge | |
referencing 0.35.1 pypi_0 pypi | |
requests 2.32.3 pyhd8ed1ab_0 conda-forge | |
rich 13.9.4 pypi_0 pypi | |
rpds-py 0.21.0 pypi_0 pypi | |
rsa 4.9 pypi_0 pypi | |
scikit-image 0.24.0 py310h5eaa309_3 conda-forge | |
scipy 1.14.1 py310hfcf56fc_1 conda-forge | |
setuptools 75.3.0 pyhd8ed1ab_0 conda-forge | |
shellingham 1.5.4 pypi_0 pypi | |
six 1.16.0 pypi_0 pypi | |
sleef 3.7 h1b44611_2 conda-forge | |
snappy 1.2.1 ha2e4443_0 conda-forge | |
snowballstemmer 2.2.0 pypi_0 pypi | |
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge | |
spatial-image 1.1.0 pypi_0 pypi | |
sphinx 8.1.3 pypi_0 pypi | |
sphinxcontrib-applehelp 2.0.0 pypi_0 pypi | |
sphinxcontrib-devhelp 2.0.0 pypi_0 pypi | |
sphinxcontrib-htmlhelp 2.1.0 pypi_0 pypi | |
sphinxcontrib-jsmath 1.0.1 pypi_0 pypi | |
sphinxcontrib-qthelp 2.0.0 pypi_0 pypi | |
sphinxcontrib-serializinghtml 2.0.0 pypi_0 pypi | |
stack-data 0.6.3 pypi_0 pypi | |
superqt 0.6.7 pypi_0 pypi | |
svt-av1 2.3.0 h5888daf_0 conda-forge | |
sympy 1.13.3 pyh2585a3b_104 conda-forge | |
tabulate 0.9.0 pypi_0 pypi | |
tblib 3.0.0 pyhd8ed1ab_0 conda-forge | |
tensorboard 2.18.0 pypi_0 pypi | |
tensorboard-data-server 0.7.2 pypi_0 pypi | |
tensorboardx 2.6.2.2 pypi_0 pypi | |
tifffile 2024.9.20 pyhd8ed1ab_0 conda-forge | |
tk 8.6.13 noxft_h4845f30_101 conda-forge | |
toml 0.10.2 pypi_0 pypi | |
tomli 2.1.0 pypi_0 pypi | |
tomli-w 1.1.0 pypi_0 pypi | |
toolz 1.0.0 pyhd8ed1ab_0 conda-forge | |
tornado 6.4.1 pypi_0 pypi | |
tqdm 4.67.0 pypi_0 pypi | |
traitlets 5.14.3 pypi_0 pypi | |
triangle 20230923 pypi_0 pypi | |
typer 0.13.0 pypi_0 pypi | |
typing-extensions 4.12.2 hd8ed1ab_0 conda-forge | |
typing_extensions 4.12.2 pyha770c72_0 conda-forge | |
tzdata 2024.2 pypi_0 pypi | |
urllib3 2.2.3 pyhd8ed1ab_0 conda-forge | |
vispy 0.14.3 pypi_0 pypi | |
waterz 0.8 pypi_0 pypi | |
wcwidth 0.2.13 pypi_0 pypi | |
werkzeug 3.1.3 pypi_0 pypi | |
wheel 0.45.0 pyhd8ed1ab_0 conda-forge | |
wrapt 1.16.0 pypi_0 pypi | |
xarray 2024.11.0 pypi_0 pypi | |
xarray-dataclasses 1.8.0 pypi_0 pypi | |
xorg-libxau 1.0.11 hb9d3cd8_1 conda-forge | |
xorg-libxdmcp 1.1.5 hb9d3cd8_0 conda-forge | |
xz 5.2.6 h166bdaf_0 conda-forge | |
yaml 0.2.5 h7f98852_2 conda-forge | |
yarl 1.18.0 py310ha75aee5_0 conda-forge | |
zarr 2.18.3 pyhd8ed1ab_0 conda-forge | |
zfp 1.0.1 h5888daf_2 conda-forge | |
zict 3.0.0 pyhd8ed1ab_0 conda-forge | |
zipp 3.21.0 pyhd8ed1ab_1 conda-forge | |
zlib-ng 2.2.2 h5888daf_0 conda-forge | |
zstandard 0.23.0 py310ha39cb0e_1 conda-forge | |
zstd 1.5.6 ha6fb4c9_0 conda-forge |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment