Closed robomike closed 1 year ago
jrbourbeau
commented
1 year ago Thanks for the issue @robomike. It looks like this might be a duplicate of https://github.com/dask/distributed/issues/5768. I can't tell from what you've posted what version of distributed you're using. The fix for https://github.com/dask/distributed/issues/5768 was included in the distributed=2023.2.1 release
robomike
commented
1 year ago I've installed it with Rapids:
conda create -n rapids-23.02 -c rapidsai -c conda-forge -c nvidia \ cudf=23.02 cuml=23.02 cugraph=23.02 cuspatial=23.02 cuxfilter=23.02 cusignal=23.02 cucim=23.02 python=3.10 cudatoolkit=11.8 \ jupyterlab dash
jrbourbeau
commented
1 year ago What version of distributed does that end up installing? Does using distributed>=2023.2.1 fix the problem? Also cc @pentschev for visibility
robomike
commented
1 year ago distributed 2023.1.1 pyhd8ed1ab_0 conda-forge
robomike
commented
1 year ago i tried to perform conda upgrade distributed but the version did not change. Is the latest fix on the conda environment?
jrbourbeau
commented
1 year ago The latest distributed release on conda-forge is 2023.3.1 but I know RAPIDS pins tightly to dask and distributed. @charlesbluca @quasiben @jakirkham any insight into what versions @robomike should be using to get distributed>=2023.2.1?
pentschev
commented
1 year ago RAPIDS 23.02 pins to distributed==2023.1.1, see https://github.com/rapidsai/dask-cuda/blob/d281b83d5a5420e55b6679c0b96d8ac87b678e71/dependencies.yaml#L98-L99 . If you need a fix that is included in distributed>=2023.2.1 you will need to using RAPIDS nightly builds (23.04).
pentschev
commented
1 year ago Also, I believe you may be already aware of it, but you can get a list of package versions/channels for nightly builds from the RAPIDS release selector.
robomike
commented
1 year ago yes, and that solves this issue :)
rjavierch
commented
4 months ago Hello! I am facing the same error when I want to run the dask tutorial's commands:
from dask.distributed import Client, progress
client = Client(processes=False, threads_per_worker=4, n_workers=1, memory_limit="2GB")
client{
"name": "RuntimeError",
"message": "Cluster failed to start: 'str' object has no attribute 'decode'",
"stack": "---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/deploy/spec.py:324, in SpecCluster._start(self)
323 cls = import_term(cls)
--> 324 self.scheduler = cls(**self.scheduler_spec.get(\"options\", {}))
325 self.scheduler = await self.scheduler
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/scheduler.py:3649, in Scheduler.__init__(self, loop, delete_interval, synchronize_worker_interval, services, service_kwargs, allowed_failures, extensions, validate, scheduler_file, security, worker_ttl, idle_timeout, interface, host, port, protocol, dashboard_address, dashboard, http_prefix, preload, preload_argv, plugins, contact_address, transition_counter_max, jupyter, **kwargs)
3648 if show_dashboard:
-> 3649 distributed.dashboard.scheduler.connect(
3650 self.http_application, self.http_server, self, prefix=http_prefix
3651 )
3652 scheduler = self
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/dashboard/scheduler.py:170, in connect(application, http_server, scheduler, prefix)
165 def connect(application, http_server, scheduler, prefix=\"\"):
166 bokeh_app = BokehApplication(
167 applications,
168 scheduler,
169 prefix=prefix,
--> 170 template_variables=template_variables(scheduler),
171 )
172 application.add_application(bokeh_app)
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/cytoolz/functoolz.pyx:489, in cytoolz.functoolz._memoize.__call__()
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/dashboard/scheduler.py:135, in template_variables(scheduler)
127 from distributed.diagnostics.nvml import device_get_count
129 template_variables = {
130 \"pages\": [
131 \"status\",
132 \"workers\",
133 \"tasks\",
134 \"system\",
--> 135 *([\"gpu\"] if device_get_count() > 0 else []),
136 \"profile\",
137 \"graph\",
138 \"groups\",
139 \"info\",
140 ],
141 \"plots\": [
142 {
143 \"url\": x.strip(\"/\"),
144 \"name\": \" \".join(x.strip(\"/\").split(\"-\")[1:])
145 .title()
146 .replace(\"Cpu\", \"CPU\")
147 .replace(\"Gpu\", \"GPU\")
148 .replace(\"Rmm\", \"RMM\"),
149 }
150 for x in applications
151 if \"individual\" in x
152 ]
153 + [
154 {\"url\": \"hardware\", \"name\": \"Hardware\"},
155 {\"url\": \"shuffle\", \"name\": \"Shuffle\"},
156 ],
157 \"jupyter\": scheduler.jupyter,
158 }
159 template_variables[\"plots\"] = sorted(
160 template_variables[\"plots\"], key=lambda d: d[\"name\"]
161 )
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/diagnostics/nvml.py:126, in device_get_count()
125 def device_get_count():
--> 126 init_once()
127 if not is_initialized():
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/diagnostics/nvml.py:108, in init_once()
105 return
107 if _in_wsl() and parse_version(
--> 108 pynvml.nvmlSystemGetDriverVersion().decode()
109 ) < parse_version(MINIMUM_WSL_VERSION):
110 NVML_STATE = NVMLState.DISABLED_WSL_INSUFFICIENT_DRIVER
AttributeError: 'str' object has no attribute 'decode'
The above exception was the direct cause of the following exception:
RuntimeError Traceback (most recent call last)
Cell In[1], line 2
1 from dask.distributed import Client, progress
----> 2 client = Client(processes=False, threads_per_worker=4,
3 n_workers=1, memory_limit='2GB')
4 client
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/client.py:1015, in Client.__init__(self, address, loop, timeout, set_as_default, scheduler_file, security, asynchronous, name, heartbeat_interval, serializers, deserializers, extensions, direct_to_workers, connection_limit, **kwargs)
1012 preload_argv = dask.config.get(\"distributed.client.preload-argv\")
1013 self.preloads = preloading.process_preloads(self, preload, preload_argv)
-> 1015 self.start(timeout=timeout)
1016 Client._instances.add(self)
1018 from distributed.recreate_tasks import ReplayTaskClient
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/client.py:1217, in Client.start(self, **kwargs)
1215 self._started = asyncio.ensure_future(self._start(**kwargs))
1216 else:
-> 1217 sync(self.loop, self._start, **kwargs)
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/utils.py:434, in sync(loop, func, callback_timeout, *args, **kwargs)
431 wait(10)
433 if error is not None:
--> 434 raise error
435 else:
436 return result
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/utils.py:408, in sync.<locals>.f()
406 awaitable = wait_for(awaitable, timeout)
407 future = asyncio.ensure_future(awaitable)
--> 408 result = yield future
409 except Exception as exception:
410 error = exception
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/tornado/gen.py:767, in Runner.run(self)
765 try:
766 try:
--> 767 value = future.result()
768 except Exception as e:
769 # Save the exception for later. It's important that
770 # gen.throw() not be called inside this try/except block
771 # because that makes sys.exc_info behave unexpectedly.
772 exc: Optional[Exception] = e
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/client.py:1283, in Client._start(self, timeout, **kwargs)
1280 elif self._start_arg is None:
1281 from distributed.deploy import LocalCluster
-> 1283 self.cluster = await LocalCluster(
1284 loop=self.loop,
1285 asynchronous=self._asynchronous,
1286 **self._startup_kwargs,
1287 )
1288 address = self.cluster.scheduler_address
1290 self._gather_semaphore = asyncio.Semaphore(5)
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/deploy/spec.py:418, in SpecCluster.__await__.<locals>._()
416 async def _() -> Self:
417 if self.status == Status.created:
--> 418 await self._start()
419 await self.scheduler
420 await self._correct_state()
File ~/miniconda3/envs/gs1/lib/python3.11/site-packages/distributed/deploy/spec.py:335, in SpecCluster._start(self)
333 self.status = Status.failed
334 await self._close()
--> 335 raise RuntimeError(f\"Cluster failed to start: {e}\") from e
RuntimeError: Cluster failed to start: 'str' object has no attribute 'decode'"
}Currently, I am trying to run this in Ubuntu 22.04 (WSL2). The versions of dask and distributed are 2024.2.1 and 2024.2.1, respectively.
The full conda environment is as follows:
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_kmp_llvm conda-forge
abseil-cpp 20220623.0 h8cdb687_6 conda-forge
absl-py 2.1.0 pyhd8ed1ab_0 conda-forge
adal 1.2.7 pyhd8ed1ab_0 conda-forge
adlfs 2024.2.0 pyhd8ed1ab_0 conda-forge
affine 2.4.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.9.3 py311h459d7ec_0 conda-forge
aiohttp-cors 0.7.0 py_0 conda-forge
aiosignal 1.3.1 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.8 h166bdaf_0 conda-forge
anyio 4.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi 23.1.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py311h459d7ec_4 conda-forge
arrow 1.3.0 pyhd8ed1ab_0 conda-forge
arrow-cpp 11.0.0 ha770c72_5_cpu conda-forge
asciitree 0.3.3 py_2
asttokens 2.4.1 pyhd8ed1ab_0 conda-forge
async-lru 2.0.4 pyhd8ed1ab_0 conda-forge
attr 2.5.1 h166bdaf_1 conda-forge
attrs 23.2.0 pyh71513ae_0 conda-forge
aws-c-auth 0.6.24 h84a1944_5 conda-forge
aws-c-cal 0.5.20 hc60faf5_6 conda-forge
aws-c-common 0.8.11 h0b41bf4_0 conda-forge
aws-c-compression 0.2.16 h034cb4b_3 conda-forge
aws-c-event-stream 0.2.18 h75388cd_6 conda-forge
aws-c-http 0.7.4 hf084cc8_2 conda-forge
aws-c-io 0.13.17 h10df833_2 conda-forge
aws-c-mqtt 0.8.6 hc41645a_6 conda-forge
aws-c-s3 0.2.4 h1b8f470_3 conda-forge
aws-c-sdkutils 0.1.7 h034cb4b_3 conda-forge
aws-checksums 0.1.14 h034cb4b_3 conda-forge
aws-crt-cpp 0.19.7 h0073717_7 conda-forge
aws-sdk-cpp 1.10.57 h4707e7a_4 conda-forge
azure-core 1.30.1 pyhd8ed1ab_0 conda-forge
azure-datalake-store 0.0.51 pyh9f0ad1d_0 conda-forge
azure-identity 1.15.0 pyhd8ed1ab_0 conda-forge
azure-storage-blob 12.19.0 pyhd8ed1ab_0 conda-forge
babel 2.14.0 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.12.3 pyha770c72_0 conda-forge
blas 1.0 mkl conda-forge
blas-devel 3.9.0 12_linux64_mkl conda-forge
bleach 6.1.0 pyhd8ed1ab_0 conda-forge
blessed 1.20.0 py311h06a4308_0
blinker 1.7.0 pyhd8ed1ab_0 conda-forge
blosc 1.21.5 h0f2a231_0 conda-forge
bokeh 3.3.4 pyhd8ed1ab_0 conda-forge
boost-cpp 1.78.0 h5adbc97_2 conda-forge
bottleneck 1.3.8 py311h1f0f07a_0 conda-forge
brotli 1.0.9 h166bdaf_9 conda-forge
brotli-bin 1.0.9 h166bdaf_9 conda-forge
brotli-python 1.0.9 py311ha362b79_9 conda-forge
bzip2 1.0.8 hd590300_5 conda-forge
c-ares 1.27.0 hd590300_0 conda-forge
ca-certificates 2024.2.2 hbcca054_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cachetools 5.3.3 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 ha61ee94_1014 conda-forge
cartopy 0.22.0 py311h320fe9a_1 conda-forge
certifi 2024.2.2 pyhd8ed1ab_0 conda-forge
cffi 1.16.0 py311hb3a22ac_0 conda-forge
cfgrib 0.9.10.4 pyhd8ed1ab_0 conda-forge
cfitsio 4.2.0 hd9d235c_0 conda-forge
cftime 1.6.3 py311h1f0f07a_0 conda-forge
charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge
click 8.1.7 unix_pyh707e725_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
cloudpickle 3.0.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
colorful 0.5.4 pyhd8ed1ab_0 conda-forge
comm 0.2.1 pyhd8ed1ab_0 conda-forge
contourpy 1.2.0 py311h9547e67_0 conda-forge
cryptography 42.0.2 py311hcb13ee4_0 conda-forge
cuda-cudart 12.1.105 0 nvidia
cuda-cupti 12.1.105 0 nvidia
cuda-libraries 12.1.0 0 nvidia
cuda-nvrtc 12.1.105 0 nvidia
cuda-nvtx 12.1.105 0 nvidia
cuda-opencl 12.3.101 0 nvidia
cuda-runtime 12.1.0 0 nvidia
cudatoolkit 11.8.0 h4ba93d1_13 conda-forge
cudnn 8.9.2.26 cuda11_0
curl 8.5.0 hdbd6064_0
cycler 0.12.1 pyhd8ed1ab_0 conda-forge
cytoolz 0.12.3 py311h459d7ec_0 conda-forge
dask 2024.2.1 pyhd8ed1ab_0 conda-forge
dask-core 2024.2.1 pyhd8ed1ab_0 conda-forge
dbus 1.13.18 hb2f20db_0
debugpy 1.8.1 py311hb755f60_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
distlib 0.3.8 pyhd8ed1ab_0 conda-forge
distributed 2024.2.1 pyhd8ed1ab_0 conda-forge
eccodes 2.29.0 h54fcba4_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
esmf 8.4.1 mpi_mpich_h7b33e6e_100 conda-forge
exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge
executing 2.0.1 pyhd8ed1ab_0 conda-forge
expat 2.5.0 hcb278e6_1 conda-forge
fasteners 0.17.3 pyhd8ed1ab_0 conda-forge
ffmpeg 3.2.4 1 conda-forge
fftw 3.3.10 nompi_hc118613_108 conda-forge
filelock 3.13.1 pyhd8ed1ab_0 conda-forge
findlibs 0.0.5 pyhd8ed1ab_0 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 h77eed37_1 conda-forge
fontconfig 2.14.2 h14ed4e7_0 conda-forge
fonts-anaconda 1 h8fa9717_0
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.49.0 py311h459d7ec_0 conda-forge
fqdn 1.5.1 pyhd8ed1ab_0 conda-forge
freeglut 3.2.2 h9c3ff4c_1 conda-forge
freetype 2.12.1 h267a509_2 conda-forge
freexl 1.0.6 h166bdaf_1 conda-forge
frozenlist 1.4.1 py311h459d7ec_0 conda-forge
fsspec 2024.2.0 pyhca7485f_0 conda-forge
g2clib 1.6.0 3 conda-forge
geos 3.11.1 h27087fc_0 conda-forge
geotiff 1.7.1 h7a142b4_6 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
gflags 2.2.2 he1b5a44_1004 conda-forge
giflib 5.2.1 h0b41bf4_3 conda-forge
glib 2.78.1 hfc55251_0 conda-forge
glib-tools 2.78.1 hfc55251_0 conda-forge
glog 0.6.0 h6f12383_0 conda-forge
gmp 6.3.0 h59595ed_0 conda-forge
gmpy2 2.1.2 py311h6a5fa03_1 conda-forge
gnutls 3.7.9 hb077bed_0 conda-forge
google-api-core 2.17.1 pyhd8ed1ab_0 conda-forge
google-auth 2.28.1 pyhca7485f_0 conda-forge
google-auth-oauthlib 1.2.0 pyhd8ed1ab_0 conda-forge
googleapis-common-protos 1.62.0 pyhd8ed1ab_0 conda-forge
gpustat 1.1.1 pyhd8ed1ab_0 conda-forge
graphite2 1.3.14 h295c915_1
grpc-cpp 1.51.1 h27aab58_1 conda-forge
grpcio 1.51.1 py311hbaf6091_1 conda-forge
gsl 2.7.1 h6e86dc7_1
gst-plugins-base 1.22.0 h4243ec0_2 conda-forge
gstreamer 1.22.0 h25f0c4b_2 conda-forge
gstreamer-orc 0.4.37 hd590300_0 conda-forge
gtest 1.14.0 h00ab1b0_1 conda-forge
h11 0.14.0 pyhd8ed1ab_0 conda-forge
h2 4.1.0 pyhd8ed1ab_0 conda-forge
h5netcdf 1.3.0 pyhd8ed1ab_0 conda-forge
h5py 3.8.0 nompi_py311h1db17ec_100 conda-forge
harfbuzz 6.0.0 h8e241bc_0 conda-forge
hdf4 4.2.15 h9772cbc_5 conda-forge
hdf5 1.12.2 mpi_mpich_h5d83325_1 conda-forge
hdfeos2 2.20 hb955811_1002 conda-forge
hdfeos5 5.1.16 hc55c121_12 conda-forge
heapdict 1.0.1 py_0 conda-forge
hpack 4.0.0 pyh9f0ad1d_0 conda-forge
httpcore 1.0.4 pyhd8ed1ab_0 conda-forge
httpx 0.27.0 pyhd8ed1ab_0 conda-forge
hyperframe 6.0.1 pyhd8ed1ab_0 conda-forge
icu 70.1 h27087fc_0 conda-forge
idna 3.6 pyhd8ed1ab_0 conda-forge
importlib-metadata 7.0.1 pyha770c72_0 conda-forge
importlib_metadata 7.0.1 hd8ed1ab_0 conda-forge
importlib_resources 6.1.2 pyhd8ed1ab_0 conda-forge
intel-openmp 2023.1.0 hdb19cb5_46306
ipykernel 6.29.3 pyhd33586a_0 conda-forge
ipython 8.22.1 pyh707e725_0 conda-forge
ipywidgets 8.1.2 pyhd8ed1ab_0 conda-forge
isodate 0.6.1 pyhd8ed1ab_0 conda-forge
isoduration 20.11.0 pyhd8ed1ab_0 conda-forge
jack 1.9.22 h11f4161_0 conda-forge
jasper 2.0.33 h0ff4b12_1 conda-forge
jedi 0.19.1 pyhd8ed1ab_0 conda-forge
jinja2 3.1.3 pyhd8ed1ab_0 conda-forge
joblib 1.3.2 pyhd8ed1ab_0 conda-forge
jpeg 9e h166bdaf_2 conda-forge
json-c 0.16 hc379101_0 conda-forge
json5 0.9.17 pyhd8ed1ab_0 conda-forge
jsonpointer 2.4 py311h38be061_3 conda-forge
jsonschema 4.21.1 pyhd8ed1ab_0 conda-forge
jsonschema-specifications 2023.12.1 pyhd8ed1ab_0 conda-forge
jsonschema-with-format-nongpl 4.21.1 pyhd8ed1ab_0 conda-forge
jupyter 1.0.0 pyhd8ed1ab_10 conda-forge
jupyter-lsp 2.2.3 pyhd8ed1ab_0 conda-forge
jupyter_client 8.6.0 pyhd8ed1ab_0 conda-forge
jupyter_console 6.6.3 pyhd8ed1ab_0 conda-forge
jupyter_core 5.7.1 py311h38be061_0 conda-forge
jupyter_events 0.9.0 pyhd8ed1ab_0 conda-forge
jupyter_server 2.12.5 pyhd8ed1ab_0 conda-forge
jupyter_server_terminals 0.5.2 pyhd8ed1ab_0 conda-forge
jupyterlab 4.1.2 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.3.0 pyhd8ed1ab_1 conda-forge
jupyterlab_server 2.25.3 pyhd8ed1ab_0 conda-forge
jupyterlab_widgets 3.0.10 pyhd8ed1ab_0 conda-forge
kealib 1.5.0 ha7026e8_0 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.5 py311h9547e67_1 conda-forge
krb5 1.20.1 h81ceb04_0 conda-forge
lame 3.100 h166bdaf_1003 conda-forge
lcms2 2.15 hfd0df8a_0 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libabseil 20220623.0 cxx17_h05df665_6 conda-forge
libaec 1.1.2 h59595ed_1 conda-forge
libarrow 11.0.0 h2ebd325_5_cpu conda-forge
libblas 3.9.0 12_linux64_mkl conda-forge
libbrotlicommon 1.0.9 h166bdaf_9 conda-forge
libbrotlidec 1.0.9 h166bdaf_9 conda-forge
libbrotlienc 1.0.9 h166bdaf_9 conda-forge
libcap 2.67 he9d0100_0 conda-forge
libcblas 3.9.0 12_linux64_mkl conda-forge
libclang 15.0.7 default_hb11cfb5_4 conda-forge
libclang13 15.0.7 default_ha2b6cf4_4 conda-forge
libcrc32c 1.1.2 h9c3ff4c_0 conda-forge
libcublas 12.1.0.26 0 nvidia
libcufft 11.0.2.4 0 nvidia
libcufile 1.8.1.2 0 nvidia
libcups 2.3.3 h36d4200_3 conda-forge
libcurand 10.3.4.107 0 nvidia
libcurl 8.5.0 h251f7ec_0
libcusolver 11.4.4.55 0 nvidia
libcusparse 12.0.2.55 0 nvidia
libdb 6.2.32 h9c3ff4c_0 conda-forge
libdeflate 1.17 h0b41bf4_0 conda-forge
libedit 3.1.20230828 h5eee18b_0
libev 4.33 hd590300_2 conda-forge
libevent 2.1.10 h28343ad_4 conda-forge
libexpat 2.5.0 hcb278e6_1 conda-forge
libffi 3.4.4 h6a678d5_0
libflac 1.4.3 h59595ed_0 conda-forge
libgcc-ng 13.2.0 h807b86a_5 conda-forge
libgcrypt 1.10.3 hd590300_0 conda-forge
libgdal 3.6.2 h6c674c2_9 conda-forge
libgfortran-ng 13.2.0 h69a702a_5 conda-forge
libgfortran5 13.2.0 ha4646dd_5 conda-forge
libgirepository 1.78.1 h003a4f0_1 conda-forge
libglib 2.78.1 hebfc3b9_0 conda-forge
libglu 9.0.0 he1b5a44_1001 conda-forge
libgomp 13.2.0 h807b86a_5 conda-forge
libgoogle-cloud 2.7.0 h21dfe5b_1 conda-forge
libgpg-error 1.48 h71f35ed_0 conda-forge
libgrpc 1.51.1 h4fad500_1 conda-forge
libhwloc 2.9.1 hd6dc26d_0 conda-forge
libiconv 1.17 hd590300_2 conda-forge
libidn2 2.3.7 hd590300_0 conda-forge
libjpeg-turbo 2.1.4 h166bdaf_0 conda-forge
libkml 1.3.0 h01aab08_1016 conda-forge
liblapack 3.9.0 12_linux64_mkl conda-forge
liblapacke 3.9.0 12_linux64_mkl conda-forge
libllvm15 15.0.7 hadd5161_1 conda-forge
libnetcdf 4.9.1 mpi_mpich_hf10a581_1 conda-forge
libnghttp2 1.58.0 h47da74e_0 conda-forge
libnpp 12.0.2.50 0 nvidia
libnsl 2.0.1 hd590300_0 conda-forge
libnvjitlink 12.1.105 0 nvidia
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libogg 1.3.5 h27cfd23_1
libopenblas 0.3.26 pthreads_h413a1c8_0 conda-forge
libopus 1.3.1 h7f98852_1 conda-forge
libpng 1.6.43 h2797004_0 conda-forge
libpq 15.2 hb675445_0 conda-forge
libprotobuf 3.21.12 hfc55251_2 conda-forge
librttopo 1.1.0 ha49c73b_12 conda-forge
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libsndfile 1.2.2 hc60ed4a_1 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libspatialite 5.0.1 h221c8f1_23 conda-forge
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llvm-openmp 15.0.7 h0cdce71_0 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
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netcdf4 1.6.3 nompi_py311ha396515_100 conda-forge
nettle 3.9.1 h7ab15ed_0 conda-forge
networkx 3.2.1 pyhd8ed1ab_0 conda-forge
notebook 7.1.1 pyhd8ed1ab_0 conda-forge
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numcodecs 0.12.1 py311hb755f60_0 conda-forge
numexpr 2.8.4 py311h802d673_0
numpy 1.26.4 py311h64a7726_0 conda-forge
nvidia-ml-py 12.535.133 pyhd8ed1ab_0 conda-forge
oauthlib 3.2.2 pyhd8ed1ab_0 conda-forge
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openssl 3.1.5 hd590300_0 conda-forge
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overrides 7.7.0 pyhd8ed1ab_0 conda-forge
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pandas 2.2.1 py311h320fe9a_0 conda-forge
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pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
parallelio 2.5.10 mpi_mpich_h773ea27_101 conda-forge
parquet-cpp 1.5.1 2 conda-forge
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partd 1.4.1 pyhd8ed1ab_0 conda-forge
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pexpect 4.9.0 pyhd8ed1ab_0 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 10.2.0 py311h5eee18b_0
pip 24.0 pyhd8ed1ab_0 conda-forge
pixman 0.43.2 h59595ed_0 conda-forge
pkgutil-resolve-name 1.3.10 pyhd8ed1ab_1 conda-forge
platformdirs 3.11.0 pyhd8ed1ab_0 conda-forge
ply 3.11 py_1 conda-forge
poppler 23.03.0 h091648b_0 conda-forge
poppler-data 0.4.12 hd8ed1ab_0 conda-forge
portalocker 2.8.2 py311h38be061_1 conda-forge
postgresql 15.2 h3248436_0 conda-forge
proj 9.1.1 h8ffa02c_2 conda-forge
prometheus_client 0.20.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.43 py311h06a4308_0
prompt_toolkit 3.0.43 hd3eb1b0_0
protobuf 4.21.12 py311hcafe171_0 conda-forge
psutil 5.9.8 py311h459d7ec_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pulseaudio 16.1 hcb278e6_3 conda-forge
pulseaudio-client 16.1 h5195f5e_3 conda-forge
pulseaudio-daemon 16.1 ha8d29e2_3 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
py-spy 0.3.14 h87a5ac0_0 conda-forge
pyarrow 11.0.0 py311hbdf6286_5_cpu conda-forge
pyarrow-hotfix 0.6 pyhd8ed1ab_0 conda-forge
pyasn1 0.5.1 pyhd8ed1ab_0 conda-forge
pyasn1-modules 0.3.0 pyhd8ed1ab_0 conda-forge
pycairo 1.25.0 py311h8feb60e_1 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pydantic 1.10.13 py311h459d7ec_1 conda-forge
pygments 2.17.2 pyhd8ed1ab_0 conda-forge
pygobject 3.46.0 py311h86ed371_1 conda-forge
pygrib 2.1.4 py311h0acc61a_6 conda-forge
pyjwt 2.8.0 pyhd8ed1ab_1 conda-forge
pyngl 1.6.1 py311hd9db0c4_6 conda-forge
pynio 1.5.5 py311h5956141_22 conda-forge
pyopenssl 24.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.1.1 pyhd8ed1ab_0 conda-forge
pyproj 3.5.0 py311h945b3ca_0 conda-forge
pyqt 5.15.10 py311h6a678d5_0
pyqt5-sip 12.13.0 py311h5eee18b_0
pyshp 2.3.1 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.11.6 hab00c5b_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-eccodes 1.5.1 py311hcb2cf0a_0 conda-forge
python-fastjsonschema 2.19.1 pyhd8ed1ab_0 conda-forge
python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge
python-lmdb 1.4.1 py311h8731a88_1 conda-forge
python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge
python_abi 3.11 4_cp311 conda-forge
pytorch 2.1.2 py3.11_cuda12.1_cudnn8.9.2_0 pytorch
pytorch-cuda 12.1 ha16c6d3_5 pytorch
pytorch-mutex 1.0 cuda pytorch
pytz 2024.1 pyhd8ed1ab_0 conda-forge
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pyyaml 6.0.1 py311h459d7ec_1 conda-forge
pyzmq 25.1.2 py311h34ded2d_0 conda-forge
qt-main 5.15.8 h5d23da1_6 conda-forge
qtconsole 5.5.1 pyhd8ed1ab_0 conda-forge
qtconsole-base 5.5.1 pyha770c72_0 conda-forge
qtpy 2.4.1 pyhd8ed1ab_0 conda-forge
rasterio 1.3.6 py311h567e639_0 conda-forge
ray-core 2.8.1 py311hb59c3c9_0 conda-forge
ray-default 2.8.1 py311h38be061_0 conda-forge
re2 2023.02.01 hcb278e6_0 conda-forge
readline 8.2 h8228510_1 conda-forge
referencing 0.33.0 pyhd8ed1ab_0 conda-forge
requests 2.31.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge
rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge
rpds-py 0.18.0 py311h46250e7_0 conda-forge
rsa 4.9 pyhd8ed1ab_0 conda-forge
s2n 1.3.37 h3358134_0 conda-forge
scikit-learn 1.4.1.post1 py311hc009520_0 conda-forge
scipy 1.12.0 py311h64a7726_2 conda-forge
send2trash 1.8.2 pyh41d4057_0 conda-forge
setproctitle 1.3.3 py311h459d7ec_0 conda-forge
setuptools 69.1.1 pyhd8ed1ab_0 conda-forge
shapely 2.0.1 py311h0f577a2_0 conda-forge
sip 6.7.12 py311hb755f60_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
smart_open 7.0.1 pyhd8ed1ab_0 conda-forge
snappy 1.1.10 h9fff704_0 conda-forge
sniffio 1.3.1 pyhd8ed1ab_0 conda-forge
snuggs 1.4.7 py_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.5 pyhd8ed1ab_1 conda-forge
sqlite 3.45.1 h2c6b66d_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
statsmodels 0.14.1 py311h1f0f07a_0 conda-forge
sympy 1.12 pypyh9d50eac_103 conda-forge
tbb 2021.9.0 hf52228f_0 conda-forge
tblib 3.0.0 pyhd8ed1ab_0 conda-forge
tensorboard 2.16.2 pyhd8ed1ab_0 conda-forge
tensorboard-data-server 0.7.0 py311h63ff55d_1 conda-forge
tensorboard-plugin-wit 1.8.1 pyhd8ed1ab_0 conda-forge
terminado 0.18.0 pyh0d859eb_0 conda-forge
threadpoolctl 3.3.0 pyhc1e730c_0 conda-forge
tiledb 2.13.2 hd532e3d_0 conda-forge
tinycss2 1.2.1 pyhd8ed1ab_0 conda-forge
tk 8.6.13 noxft_h4845f30_101 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.1 pyhd8ed1ab_0 conda-forge
torchaudio 2.1.2 py311_cu121 pytorch
torchtriton 2.1.0 py311 pytorch
torchvision 0.15.2 cuda118py311h4cc2eb7_0
tornado 6.4 py311h459d7ec_0 conda-forge
tqdm 4.66.2 pyhd8ed1ab_0 conda-forge
traitlets 5.14.1 pyhd8ed1ab_0 conda-forge
types-python-dateutil 2.8.19.20240106 pyhd8ed1ab_0 conda-forge
typing-extensions 4.10.0 hd8ed1ab_0 conda-forge
typing_extensions 4.10.0 pyha770c72_0 conda-forge
typing_utils 0.1.0 pyhd8ed1ab_0 conda-forge
tzcode 2024a h3f72095_0 conda-forge
tzdata 2024a h0c530f3_0 conda-forge
udunits2 2.2.28 h40f5838_3 conda-forge
uri-template 1.3.0 pyhd8ed1ab_0 conda-forge
uriparser 0.9.7 h59595ed_1 conda-forge
urllib3 2.2.1 pyhd8ed1ab_0 conda-forge
virtualenv 20.21.0 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge
webcolors 1.13 pyhd8ed1ab_0 conda-forge
webencodings 0.5.1 pyhd8ed1ab_2 conda-forge
websocket-client 1.7.0 pyhd8ed1ab_0 conda-forge
werkzeug 3.0.1 pyhd8ed1ab_0 conda-forge
wheel 0.42.0 pyhd8ed1ab_0 conda-forge
widgetsnbextension 4.0.10 pyhd8ed1ab_0 conda-forge
wrapt 1.16.0 py311h459d7ec_0 conda-forge
x264 1!164.3095 h166bdaf_2 conda-forge
xarray 2024.2.0 pyhd8ed1ab_0 conda-forge
xbatcher 0.3.0 pyhd8ed1ab_0 conda-forge
xcb-util 0.4.0 h516909a_0 conda-forge
xcb-util-image 0.4.0 h166bdaf_0 conda-forge
xcb-util-keysyms 0.4.0 h516909a_0 conda-forge
xcb-util-renderutil 0.3.9 h166bdaf_0 conda-forge
xcb-util-wm 0.4.1 h516909a_0 conda-forge
xerces-c 3.2.4 h55805fa_1 conda-forge
xkeyboard-config 2.38 h0b41bf4_0 conda-forge
xorg-fixesproto 5.0 h7f98852_1002 conda-forge
xorg-imake 1.0.7 0 conda-forge
xorg-inputproto 2.3.2 h7f98852_1002 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.8.4 h0b41bf4_0 conda-forge
xorg-libxau 1.0.11 hd590300_0 conda-forge
xorg-libxaw 1.0.14 h7f98852_1 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 conda-forge
xorg-libxfixes 5.0.3 h7f98852_1004 conda-forge
xorg-libxi 1.7.10 h7f98852_0 conda-forge
xorg-libxmu 1.1.3 h7f98852_0 conda-forge
xorg-libxpm 3.5.16 hd590300_0 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-libxt 1.3.0 hd590300_0 conda-forge
xorg-makedepend 1.0.9 h59595ed_0 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xyzservices 2023.10.1 pyhd8ed1ab_0 conda-forge
xz 5.4.6 h5eee18b_0
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.9.4 py311h459d7ec_0 conda-forge
zarr 2.17.0 pyhd8ed1ab_0 conda-forge
zeromq 4.3.5 h59595ed_1 conda-forge
zict 3.0.0 pyhd8ed1ab_0 conda-forge
zipp 3.17.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hd590300_5 conda-forge
zstd 1.5.5 hfc55251_0 conda-forgeDo I have any conflict with the versions I am currently running?
add support for multiple GPUs
from cuml.dask.common import utils as dask_utils from dask_cuda import LocalCUDACluster from dask.distributed import Client
import the dask linear regression model
from cuml.dask.linear_model import LinearRegression as dask_LinearRegression
cluster = LocalCUDACluster() client = Client(cluster)
2023-03-21 10:48:45,893 - distributed.deploy.spec - WARNING - Cluster closed without starting up Output exceeds the size limit. Open the full output data in a text editor
AttributeError Traceback (most recent call last) File ~/miniconda3/envs/rapids-23.02/lib/python3.10/site-packages/distributed/deploy/spec.py:319, in SpecCluster._start(self) 318 cls = import_term(cls) --> 319 self.scheduler = cls(**self.scheduler_spec.get("options", {})) 320 self.scheduler = await self.scheduler
File ~/miniconda3/envs/rapids-23.02/lib/python3.10/site-packages/distributed/scheduler.py:3662, in Scheduler.init(self, loop, delete_interval, synchronize_worker_interval, services, service_kwargs, allowed_failures, extensions, validate, scheduler_file, security, worker_ttl, idle_timeout, interface, host, port, protocol, dashboard_address, dashboard, http_prefix, preload, preload_argv, plugins, contact_address, transition_counter_max, jupyter, kwargs) 3648 SchedulerState.init( 3649 self, 3650 aliases=aliases, (...) 3660 transition_counter_max=transition_counter_max, 3661 ) -> 3662 ServerNode.init( 3663 self, 3664 handlers=self.handlers, 3665 stream_handlers=merge(worker_handlers, client_handlers), 3666 connection_limit=connection_limit, 3667 deserialize=False, 3668 connection_args=self.connection_args, 3669 kwargs, 3670 ) 3672 if self.worker_ttl: ... 328 self.status = Status.failed 329 await self._close() --> 330 raise RuntimeError(f"Cluster failed to start: {e}") from e
RuntimeError: Cluster failed to start: 'str' object has no attribute 'decode'
(rapids-23.02) futuregen@futuregen-System-Product-Name:~/code/predictiveAnalytics$ pip freeze aiofiles @ file:///home/conda/feedstock_root/build_artifacts/aiofiles_1664378549280/work aiohttp @ file:///home/conda/feedstock_root/build_artifacts/aiohttp_1676292661248/work aiosignal @ file:///home/conda/feedstock_root/build_artifacts/aiosignal_1667935791922/work aiosqlite @ file:///home/conda/feedstock_root/build_artifacts/aiosqlite_1671461885930/work anyio @ file:///home/conda/feedstock_root/build_artifacts/anyio_1666191106763/work/dist appdirs @ file:///home/conda/feedstock_root/build_artifacts/appdirs_1603108395799/work apriltag==0.0.16 argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1640817743617/work argon2-cffi-bindings @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi-bindings_1666850768662/work asttokens==2.2.1 async-timeout @ file:///home/conda/feedstock_root/build_artifacts/async-timeout_1640026696943/work attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1671632566681/work Babel @ file:///home/conda/feedstock_root/build_artifacts/babel_1677767029043/work backcall==0.2.0 backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work beautifulsoup4 @ file:///home/conda/feedstock_root/build_artifacts/beautifulsoup4_1679322162244/work bleach @ file:///home/conda/feedstock_root/build_artifacts/bleach_1674535352125/work bokeh @ file:///home/conda/feedstock_root/build_artifacts/bokeh_1660586590972/work branca @ file:///home/conda/feedstock_root/build_artifacts/branca_1667848736831/work Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1666788425425/work brotlipy @ file:///home/conda/feedstock_root/build_artifacts/brotlipy_1666764671472/work cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1674482203741/work certifi==2022.12.7 cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1671179353105/work charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1661170624537/work click @ file:///home/conda/feedstock_root/build_artifacts/click_1666798198223/work click-plugins==1.1.1 cligj @ file:///home/conda/feedstock_root/build_artifacts/cligj_1633637764473/work cloudpickle @ file:///home/conda/feedstock_root/build_artifacts/cloudpickle_1674202310934/work colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work colorcet @ file:///home/conda/feedstock_root/build_artifacts/colorcet_1664843244467/work comm==0.1.2 contourpy @ file:///home/conda/feedstock_root/build_artifacts/contourpy_1673633665736/work cryptography @ file:///home/conda/feedstock_root/build_artifacts/cryptography-split_1677821274828/work cubinlinker @ file:///home/conda/feedstock_root/build_artifacts/cubinlinker_1669932549674/work cucim==23.2.0 cuda-python @ file:///home/conda/feedstock_root/build_artifacts/cuda-python_1670580728957/work cudf==23.2.0 cugraph @ file:///opt/conda/conda-bld/work/python/cugraph cuml==23.2.0 cupy @ file:///home/conda/feedstock_root/build_artifacts/cupy_1677786697638/work cusignal==23.2.0 cuspatial==23.2.0 cuxfilter==23.2.0 cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work cytoolz @ file:///home/conda/feedstock_root/build_artifacts/cytoolz_1666829662037/work dash @ file:///home/conda/feedstock_root/build_artifacts/dash_1679123358017/work dask @ file:///home/conda/feedstock_root/build_artifacts/dask-core_1674873905639/work dask-cuda @ file:///opt/conda/conda-bld/work dask-cudf==23.2.0 datashader==0.13.1a0 datashape==0.5.4 debugpy==1.6.6 decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work distributed @ file:///home/conda/feedstock_root/build_artifacts/distributed_1674878344345/work entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work executing==1.2.0 fastavro @ file:///home/conda/feedstock_root/build_artifacts/fastavro_1678386936540/work fastjsonschema @ file:///home/conda/feedstock_root/build_artifacts/python-fastjsonschema_1677336799617/work/dist fastrlock==0.8 Fiona @ file:///home/conda/feedstock_root/build_artifacts/fiona_1667566189417/work Flask @ file:///home/conda/feedstock_root/build_artifacts/flask_1676592993069/work Flask-Compress @ file:///home/conda/feedstock_root/build_artifacts/flask-compress_1663772969809/work flit_core @ file:///home/conda/feedstock_root/build_artifacts/flit-core_1667734568827/work/source/flit_core folium @ file:///home/conda/feedstock_root/build_artifacts/folium_1670956290671/work fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1678999666001/work frozenlist @ file:///home/conda/feedstock_root/build_artifacts/frozenlist_1667935435842/work fsspec @ file:///home/conda/feedstock_root/build_artifacts/fsspec_1678112553830/work GDAL==3.5.3 geopandas @ file:///home/conda/feedstock_root/build_artifacts/geopandas_1670698600430/work HeapDict==1.0.1 holoviews @ file:///home/conda/feedstock_root/build_artifacts/holoviews_1670920091880/work idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work imagecodecs @ file:///home/conda/feedstock_root/build_artifacts/imagecodecs_1671885549045/work imageio @ file:///home/conda/feedstock_root/build_artifacts/imageio_1677507485990/work importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1679167925176/work importlib-resources @ file:///home/conda/feedstock_root/build_artifacts/importlib_resources_1676919000169/work ipykernel==6.21.2 ipython==8.10.0 ipython-genutils==0.2.0 ipywidgets @ file:///home/conda/feedstock_root/build_artifacts/ipywidgets_1671720089366/work itsdangerous @ file:///home/conda/feedstock_root/build_artifacts/itsdangerous_1648147185463/work jedi==0.18.2 Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1654302431367/work joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1663332044897/work json5 @ file:///home/conda/feedstock_root/build_artifacts/json5_1600692310011/work jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema-meta_1669810440410/work jupyter-events @ file:///home/conda/feedstock_root/build_artifacts/jupyter_events_1673559782596/work jupyter-server-proxy @ file:///home/conda/feedstock_root/build_artifacts/jupyter-server-proxy_1662628585242/work jupyter-ydoc @ file:///home/conda/feedstock_root/build_artifacts/jupyter_ydoc_1679325289144/work/dist jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1676579893731/work jupyter_core==5.2.0 jupyter_server @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_1679073341944/work jupyter_server_fileid @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_fileid_1677220209229/work jupyter_server_terminals @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_terminals_1673491454549/work jupyter_server_ydoc @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_ydoc_1678043727957/work jupyterlab @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_1679327603632/work jupyterlab-pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1649936611996/work jupyterlab-widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1671722028097/work jupyterlab_server @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_server_1678139120126/work kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1666805701884/work llvmlite==0.39.1 locket @ file:///home/conda/feedstock_root/build_artifacts/locket_1650660393415/work lz4 @ file:///home/conda/feedstock_root/build_artifacts/lz4_1675806673645/work mapclassify @ file:///home/conda/feedstock_root/build_artifacts/mapclassify_1673861555770/work Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1657921053229/work MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1674135787083/work matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1678135565516/work matplotlib-inline==0.1.6 mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1675771498296/work msgpack @ file:///home/conda/feedstock_root/build_artifacts/msgpack-python_1678312712169/work multidict @ file:///home/conda/feedstock_root/build_artifacts/multidict_1672339403932/work multipledispatch==0.6.0 munch==2.5.0 munkres==1.1.4 nbclassic @ file:///home/conda/feedstock_root/build_artifacts/nbclassic_1678277563913/work nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1669795076334/work nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert-meta_1674590374792/work nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1673560067442/work nest-asyncio==1.5.6 networkx @ file:///home/conda/feedstock_root/build_artifacts/networkx_1673151334029/work notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1678109761260/work notebook_shim @ file:///home/conda/feedstock_root/build_artifacts/notebook-shim_1667478401171/work numba @ file:///home/conda/feedstock_root/build_artifacts/numba_1669103970038/work numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1668919096861/work nvtx @ file:///home/conda/feedstock_root/build_artifacts/nvtx_1667383032221/work packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1673482170163/work pandas==1.5.3 pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work panel @ file:///home/conda/feedstock_root/build_artifacts/panel_1667466777996/work param @ file:///home/conda/feedstock_root/build_artifacts/param_1678790747312/work parso==0.8.3 partd @ file:///home/conda/feedstock_root/build_artifacts/partd_1660316728562/work pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1667297516076/work pickleshare==0.7.5 Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1675487172403/work pkgutil_resolve_name @ file:///home/conda/feedstock_root/build_artifacts/pkgutil-resolve-name_1633981968097/work platformdirs==3.0.0 plotly @ file:///home/conda/feedstock_root/build_artifacts/plotly_1677271849976/work pooch @ file:///home/conda/feedstock_root/build_artifacts/pooch_1677600624926/work prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1674535637125/work prompt-toolkit==3.0.37 protobuf==4.21.12 psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1667885877572/work ptxcompiler @ file:///home/conda/feedstock_root/build_artifacts/ptxcompiler_1669972017279/work ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl pure-eval==0.2.2 pyarrow==10.0.1 pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work pyct==0.4.6 pydeck @ file:///home/conda/feedstock_root/build_artifacts/pydeck_1603714958102/work pyee @ file:///home/conda/feedstock_root/build_artifacts/pyee_1644152123334/work Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1672682006896/work pylibcugraph @ file:///opt/conda/conda-bld/work/python/pylibcugraph pylibraft==23.2.0 pynvml @ file:///home/conda/feedstock_root/build_artifacts/pynvml_1676513396402/work pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1672659226110/work pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1652235407899/work pyppeteer @ file:///home/conda/feedstock_root/build_artifacts/pyppeteer_1643233645996/work pyproj @ file:///home/conda/feedstock_root/build_artifacts/pyproj_1666938623924/work pyrsistent @ file:///home/conda/feedstock_root/build_artifacts/pyrsistent_1672681463845/work PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1661604839144/work python-dateutil==2.8.2 python-json-logger @ file:///home/conda/feedstock_root/build_artifacts/python-json-logger_1677079630776/work pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1673864280276/work pyviz-comms @ file:///home/conda/feedstock_root/build_artifacts/pyviz_comms_1661341338467/work PyWavelets @ file:///home/conda/feedstock_root/build_artifacts/pywavelets_1673082339639/work PyYAML @ file:///home/conda/feedstock_root/build_artifacts/pyyaml_1666772395347/work pyzmq==25.0.0 raft-dask==23.2.0 requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1673863902341/work rfc3339-validator @ file:///home/conda/feedstock_root/build_artifacts/rfc3339-validator_1638811747357/work rfc3986-validator @ file:///home/conda/feedstock_root/build_artifacts/rfc3986-validator_1598024191506/work rmm==23.2.0 Rtree @ file:///home/conda/feedstock_root/build_artifacts/rtree_1666813265145/work scikit-image @ file:///home/conda/feedstock_root/build_artifacts/scikit-image_1667117143644/work scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1678356544388/work scipy==1.10.1 Send2Trash @ file:///home/conda/feedstock_root/build_artifacts/send2trash_1628511208346/work shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1675079591791/work simpervisor @ file:///home/conda/feedstock_root/build_artifacts/simpervisor_1609865618711/work six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work sniffio @ file:///home/conda/feedstock_root/build_artifacts/sniffio_1662051266223/work sortedcontainers @ file:///home/conda/feedstock_root/build_artifacts/sortedcontainers_1621217038088/work soupsieve @ file:///home/conda/feedstock_root/build_artifacts/soupsieve_1658207591808/work stack-data==0.6.2 tblib @ file:///home/conda/feedstock_root/build_artifacts/tblib_1616261298899/work tenacity @ file:///home/conda/feedstock_root/build_artifacts/tenacity_1677600641219/work terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1670253674810/work threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work tifffile @ file:///home/conda/feedstock_root/build_artifacts/tifffile_1665588749940/work tinycss2 @ file:///home/conda/feedstock_root/build_artifacts/tinycss2_1666100256010/work tomli @ file:///home/conda/feedstock_root/build_artifacts/tomli_1644342247877/work toolz @ file:///home/conda/feedstock_root/build_artifacts/toolz_1657485559105/work tornado==6.2 tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1677948868469/work traitlets==5.9.0 treelite==3.1.0 treelite-runtime==3.1.0 typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1678559861143/work ucx-py @ file:///opt/conda/conda-bld/work unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1667239886688/work urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1678635778344/work wcwidth==0.2.6 webencodings==0.5.1 websocket-client @ file:///home/conda/feedstock_root/build_artifacts/websocket-client_1675567828044/work websockets @ file:///home/conda/feedstock_root/build_artifacts/websockets_1666806213473/work Werkzeug @ file:///home/conda/feedstock_root/build_artifacts/werkzeug_1676411946679/work widgetsnbextension @ file:///home/conda/feedstock_root/build_artifacts/widgetsnbextension_1672066693230/work xarray @ file:///home/conda/feedstock_root/build_artifacts/xarray_1675801625528/work xyzservices @ file:///home/conda/feedstock_root/build_artifacts/xyzservices_1676835466992/work y-py @ file:///home/conda/feedstock_root/build_artifacts/y-py_1677231008299/work yarl @ file:///home/conda/feedstock_root/build_artifacts/yarl_1672340954791/work ypy-websocket @ file:///home/conda/feedstock_root/build_artifacts/ypy-websocket_1670333059911/work zict @ file:///home/conda/feedstock_root/build_artifacts/zict_1651156074437/work zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1677313463193/work