From 021dc58eb9088b45de7cae8cfeebf0d218302605 Mon Sep 17 00:00:00 2001
From: Cameron Smith <cameron.ray.smith@gmail.com>
Date: Tue, 2 Jan 2024 13:57:00 -0500
Subject: [PATCH] chore(conda-lock): sync with pyproject.toml Signed-off-by:
 Cameron Smith <cameron.ray.smith@gmail.com>

---
 conda/colab/construct.yaml    |  127 ++--
 conda/conda-linux-64.lock.yml |  131 ++--
 conda/conda-lock.yml          | 1135 ++++++++++++++++++++++-----------
 3 files changed, 903 insertions(+), 490 deletions(-)

diff --git a/conda/colab/construct.yaml b/conda/colab/construct.yaml
index 7f59e7937..058d7488f 100644
--- a/conda/colab/construct.yaml
+++ b/conda/colab/construct.yaml
@@ -21,27 +21,31 @@ specs:
   - alembic=1.13.1=pyhd8ed1ab_0
   - anndata=0.8.0=pyhd8ed1ab_1
   - antlr-python-runtime=4.9.3=pyhd8ed1ab_1
+  - aom=3.7.1=h59595ed_0
   - arpack=3.8.0=nompi_h0baa96a_101
   - astropy=5.2.2=py310h0a54255_0
   - attrs=23.2.0=pyh71513ae_0
-  - aws-c-auth=0.7.3=h28f7589_1
-  - aws-c-cal=0.6.1=hc309b26_1
-  - aws-c-common=0.9.0=hd590300_0
-  - aws-c-compression=0.2.17=h4d4d85c_2
-  - aws-c-event-stream=0.3.1=h2e3709c_4
-  - aws-c-http=0.7.11=h00aa349_4
-  - aws-c-io=0.13.32=he9a53bd_1
-  - aws-c-mqtt=0.9.3=hb447be9_1
-  - aws-c-s3=0.3.14=hf3aad02_1
-  - aws-c-sdkutils=0.1.12=h4d4d85c_1
-  - aws-checksums=0.1.17=h4d4d85c_1
-  - aws-crt-cpp=0.21.0=hb942446_5
-  - aws-sdk-cpp=1.10.57=h85b1a90_19
+  - aws-c-auth=0.7.5=h2acc10b_2
+  - aws-c-cal=0.6.9=h0fad3b2_0
+  - aws-c-common=0.9.5=hd590300_0
+  - aws-c-compression=0.2.17=h3e65c2a_5
+  - aws-c-event-stream=0.3.2=hc1d3383_5
+  - aws-c-http=0.7.13=h858fa18_9
+  - aws-c-io=0.13.35=hf90439a_7
+  - aws-c-mqtt=0.9.8=hd23f6f0_1
+  - aws-c-s3=0.3.22=h2de862a_1
+  - aws-c-sdkutils=0.1.12=h3e65c2a_4
+  - aws-checksums=0.1.17=h3e65c2a_4
+  - aws-crt-cpp=0.24.4=h233f1e4_5
+  - aws-sdk-cpp=1.11.182=h18c0b32_3
   - bcrypt=4.1.2=py310hcb5633a_0
+  - blas=2.120=mkl
+  - blas-devel=3.9.0=20_linux64_mkl
   - blinker=1.7.0=pyhd8ed1ab_0
-  - brotli=1.0.9=h166bdaf_9
-  - brotli-bin=1.0.9=h166bdaf_9
-  - brotli-python=1.0.9=py310hd8f1fbe_9
+  - blosc=1.21.5=h0f2a231_0
+  - brotli=1.1.0=hd590300_1
+  - brotli-bin=1.1.0=hd590300_1
+  - brotli-python=1.1.0=py310hc6cd4ac_1
   - bzip2=1.0.8=hd590300_5
   - c-ares=1.24.0=hd590300_0
   - ca-certificates=2023.11.17=hbcca054_0
@@ -50,7 +54,7 @@ specs:
   - certifi=2023.11.17=pyhd8ed1ab_0
   - cffi=1.16.0=py310h2fee648_0
   - charset-normalizer=3.3.2=pyhd8ed1ab_0
-  - chex=0.1.83=pyhd8ed1ab_0
+  - chex=0.1.85=pyhd8ed1ab_0
   - click=8.1.7=unix_pyh707e725_0
   - cloudpickle=2.2.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_0
@@ -60,21 +64,26 @@ specs:
   - contextlib2=21.6.0=pyhd8ed1ab_0
   - contourpy=1.2.0=py310hd41b1e2_0
   - cryptography=41.0.7=py310hb8475ec_1
-  - cuda-version=11.8=h70ddcb2_2
+  - cuda-cudart=11.7.99=0
+  - cuda-cupti=11.7.101=0
+  - cuda-libraries=11.7.1=0
+  - cuda-nvrtc=11.7.99=0
+  - cuda-nvtx=11.7.91=0
+  - cuda-runtime=11.7.1=0
   - cudatoolkit=11.8.0=h4ba93d1_12
-  - cudnn=8.8.0.121=hcdd5f01_4
   - cycler=0.12.1=pyhd8ed1ab_0
   - databricks-cli=0.18.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
+  - dav1d=1.2.1=hd590300_0
   - desert=2022.9.22=pyhd8ed1ab_2
-  - dm-tree=0.1.8=py310hb875b13_0
   - docker-py=6.1.3=pyhd8ed1ab_0
   - docrep=0.3.2=pyh44b312d_0
   - entrypoints=0.4=pyhd8ed1ab_0
   - et_xmlfile=1.1.0=pyhd8ed1ab_0
+  - etils=1.6.0=pyhd8ed1ab_1
   - exceptiongroup=1.2.0=pyhd8ed1ab_0
   - flask=2.3.3=pyhd8ed1ab_0
-  - flax=0.6.1=pyhd8ed1ab_1
+  - flax=0.7.5=pyhd8ed1ab_0
   - fonttools=4.47.0=py310h2372a71_0
   - freetype=2.12.1=h267a509_2
   - fsspec=2023.12.2=pyhca7485f_0
@@ -99,8 +108,8 @@ specs:
   - importlib_resources=6.1.1=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_0
   - itsdangerous=2.1.2=pyhd8ed1ab_0
-  - jax=0.4.13=pyhd8ed1ab_0
-  - jaxlib=0.4.12=cuda112py310h5656b0c_201
+  - jax=0.4.23=pyhd8ed1ab_0
+  - jaxlib=0.4.23=cpu_py310h9ed8a0c_0
   - jinja2=3.1.2=pyhd8ed1ab_1
   - joblib=1.3.2=pyhd8ed1ab_0
   - keyutils=1.6.1=h166bdaf_0
@@ -110,16 +119,23 @@ specs:
   - ld_impl_linux-64=2.40=h41732ed_0
   - leidenalg=0.9.1=py310heca2aa9_0
   - lerc=4.0.0=h27087fc_0
-  - libabseil=20230125.3=cxx17_h59595ed_0
+  - libabseil=20230802.1=cxx17_h59595ed_0
   - libaec=1.1.2=h59595ed_1
-  - libarrow=11.0.0=hb87d912_33_cpu
-  - libblas=3.9.0=20_linux64_openblas
-  - libbrotlicommon=1.0.9=h166bdaf_9
-  - libbrotlidec=1.0.9=h166bdaf_9
-  - libbrotlienc=1.0.9=h166bdaf_9
-  - libcblas=3.9.0=20_linux64_openblas
+  - libarrow=11.0.0=hecbb4c5_46_cpu
+  - libavif16=1.0.3=hef5bec9_1
+  - libblas=3.9.0=20_linux64_mkl
+  - libbrotlicommon=1.1.0=hd590300_1
+  - libbrotlidec=1.1.0=hd590300_1
+  - libbrotlienc=1.1.0=hd590300_1
+  - libcblas=3.9.0=20_linux64_mkl
   - libcrc32c=1.1.2=h9c3ff4c_0
+  - libcublas=11.10.3.66=0
+  - libcufft=10.7.2.124=h4fbf590_0
+  - libcufile=1.8.1.2=0
+  - libcurand=10.3.4.107=0
   - libcurl=8.5.0=hca28451_0
+  - libcusolver=11.4.0.1=0
+  - libcusparse=11.7.4.91=0
   - libdeflate=1.19=hd590300_0
   - libedit=3.1.20191231=he28a2e2_2
   - libev=4.33=hd590300_2
@@ -128,24 +144,29 @@ specs:
   - libgcc-ng=13.2.0=h807b86a_3
   - libgfortran-ng=13.2.0=h69a702a_3
   - libgfortran5=13.2.0=ha4646dd_3
-  - libgoogle-cloud=2.12.0=hac9eb74_1
-  - libgrpc=1.54.3=hb20ce57_0
+  - libgoogle-cloud=2.12.0=h19a6dae_3
+  - libgrpc=1.58.2=he06187c_0
   - libhwloc=2.9.3=default_h554bfaf_1009
   - libiconv=1.17=hd590300_2
   - libjpeg-turbo=3.0.0=hd590300_1
-  - liblapack=3.9.0=20_linux64_openblas
+  - liblapack=3.9.0=20_linux64_mkl
+  - liblapacke=3.9.0=20_linux64_mkl
   - libllvm14=14.0.6=hcd5def8_4
   - libnghttp2=1.58.0=h47da74e_1
+  - libnl=3.9.0=hd590300_0
+  - libnpp=11.7.4.75=0
   - libnsl=2.0.1=hd590300_0
   - libnuma=2.0.16=h0b41bf4_1
+  - libnvjpeg=11.8.0.2=0
   - libopenblas=0.3.25=pthreads_h413a1c8_0
   - libpng=1.6.39=h753d276_0
-  - libprotobuf=3.21.12=hfc55251_2
+  - libprotobuf=4.24.3=hf27288f_1
+  - libre2-11=2023.06.02=h7a70373_0
   - libsodium=1.0.18=h36c2ea0_1
   - libsqlite=3.44.2=h2797004_0
   - libssh2=1.11.0=h0841786_0
   - libstdcxx-ng=13.2.0=h7e041cc_3
-  - libthrift=0.18.1=h8fd135c_2
+  - libthrift=0.19.0=hb90f79a_1
   - libtiff=4.6.0=ha9c0a0a_2
   - libutf8proc=2.8.0=h166bdaf_0
   - libuuid=2.38.1=h0b41bf4_0
@@ -159,13 +180,14 @@ specs:
   - llvmlite=0.41.1=py310h1b8f574_0
   - loompy=3.0.6=py_0
   - lz4-c=1.9.4=hcb278e6_0
-  - magma=2.6.2=hc72dce7_0
   - mako=1.3.0=pyhd8ed1ab_0
   - markdown=3.5.1=pyhd8ed1ab_0
   - markupsafe=2.1.3=py310h2372a71_1
   - marshmallow=3.19.0=pyhd8ed1ab_0
   - matplotlib-base=3.8.2=py310h62c0568_0
-  - mkl=2022.2.1=h84fe81f_16997
+  - mkl=2023.2.0=h84fe81f_50496
+  - mkl-devel=2023.2.0=ha770c72_50496
+  - mkl-include=2023.2.0=h84fe81f_50496
   - ml-collections=0.1.1=pyhd8ed1ab_0
   - ml_dtypes=0.3.1=py310hcc13569_2
   - mlflow=2.2.2=py310ha13cd29_0
@@ -175,22 +197,23 @@ specs:
   - munkres=1.1.4=pyh9f0ad1d_0
   - mypy_extensions=1.0.0=pyha770c72_0
   - natsort=8.4.0=pyhd8ed1ab_0
-  - nccl=2.19.4.1=h6103f9b_0
   - ncurses=6.4=h59595ed_2
+  - nest-asyncio=1.5.8=pyhd8ed1ab_0
   - networkx=3.2.1=pyhd8ed1ab_0
-  - ninja=1.11.1=h924138e_0
   - numba=0.58.1=py310h7dc5dd1_0
   - numpy=1.26.2=py310hb13e2d6_0
   - numpy_groupies=0.10.2=pyhd8ed1ab_0
-  - numpyro=0.13.2=pyhd8ed1ab_0
+  - numpyro=0.13.2=pyhd8ed1ab_1
   - oauthlib=3.2.2=pyhd8ed1ab_0
   - omegaconf=2.3.0=pyhd8ed1ab_0
   - openjpeg=2.5.0=h488ebb8_3
   - openpyxl=3.1.2=py310h2372a71_1
   - openssl=3.2.0=hd590300_1
+  - opt-einsum=3.3.0=hd8ed1ab_2
   - opt_einsum=3.3.0=pyhc1e730c_2
   - optax=0.1.7=pyhd8ed1ab_0
-  - orc=1.9.0=h2f23424_1
+  - orbax-checkpoint=0.4.4=pyhd8ed1ab_0
+  - orc=1.9.0=h208142c_3
   - packaging=23.2=pyhd8ed1ab_0
   - pandas=1.5.3=py310h9b08913_1
   - paramiko=3.4.0=pyhd8ed1ab_0
@@ -202,9 +225,10 @@ specs:
   - pooch=1.8.0=pyhd8ed1ab_0
   - prometheus_client=0.19.0=pyhd8ed1ab_0
   - prometheus_flask_exporter=0.23.0=pyhd8ed1ab_0
-  - protobuf=4.21.12=py310heca2aa9_0
+  - protobuf=4.24.3=py310h620c231_1
   - pthread-stubs=0.4=h36c2ea0_1001
-  - pyarrow=11.0.0=py310he6bfd7f_33_cpu
+  - pyarrow=11.0.0=py310h7f027b5_46_cpu
+  - pybind11-abi=4=hd8ed1ab_3
   - pycparser=2.21=pyhd8ed1ab_0
   - pyerfa=2.0.1.1=py310h1f7b6fc_0
   - pygments=2.17.2=pyhd8ed1ab_0
@@ -221,18 +245,21 @@ specs:
   - python-dateutil=2.8.2=pyhd8ed1ab_0
   - python-igraph=0.11.3=py310h1e3ba49_0
   - python_abi=3.10=4_cp310
-  - pytorch=1.13.1=cuda112py310he33e0d6_200
+  - pytorch=1.13.1=py3.10_cuda11.7_cudnn8.5.0_0
+  - pytorch-cuda=11.7=h778d358_5
   - pytorch-lightning=1.9.4=pyhd8ed1ab_1
+  - pytorch-mutex=1.0=cuda
   - pytz=2022.7.1=pyhd8ed1ab_0
   - pywin32-on-windows=0.1.0=pyh1179c8e_3
   - pyyaml=6.0.1=py310h2372a71_1
   - querystring_parser=1.2.4=py_0
-  - rdma-core=28.9=h59595ed_1
-  - re2=2023.03.02=h8c504da_0
+  - rav1e=0.6.6=he8a937b_2
+  - rdma-core=49.0=hd3aeb46_2
+  - re2=2023.06.02=h2873b5e_0
   - readline=8.2=h8228510_1
   - requests=2.31.0=pyhd8ed1ab_0
   - rich=12.6.0=pyhd8ed1ab_0
-  - s2n=1.3.49=h06160fa_0
+  - s2n=1.3.56=h06160fa_0
   - scanpy=1.9.6=pyhd8ed1ab_1
   - scikit-learn=1.3.2=py310h1fdf081_2
   - scikit-misc=0.1.4=py310h3254323_4
@@ -245,7 +272,6 @@ specs:
   - setuptools=68.2.2=pyhd8ed1ab_0
   - shap=0.44.0=cuda118py310he2121af_6
   - six=1.16.0=pyh6c4a22f_0
-  - sleef=3.5.1=h9b69904_2
   - slicer=0.0.7=pyhd8ed1ab_0
   - smmap=5.0.0=pyhd8ed1ab_0
   - snappy=1.1.10=h9fff704_0
@@ -253,8 +279,10 @@ specs:
   - sqlparse=0.4.4=pyhd8ed1ab_0
   - statsmodels=0.14.1=py310h1f7b6fc_0
   - stdlib-list=0.8.0=pyhd8ed1ab_0
+  - svt-av1=1.8.0=h59595ed_0
   - tabulate=0.9.0=pyhd8ed1ab_1
   - tbb=2021.11.0=h00ab1b0_0
+  - tensorstore=0.1.44=py310h8ba0d1c_3
   - termcolor=2.2.0=pyhd8ed1ab_0
   - texttable=1.7.0=pyhd8ed1ab_0
   - threadpoolctl=3.2.0=pyha21a80b_0
@@ -267,7 +295,7 @@ specs:
   - typing_extensions=4.9.0=pyha770c72_0
   - typing_inspect=0.9.0=pyhd8ed1ab_0
   - tzdata=2023d=h0c530f3_0
-  - ucx=1.14.1=h64cca9d_5
+  - ucx=1.15.0=h75e419f_2
   - umap-learn=0.5.5=py310hff52083_0
   - unicodedata2=15.1.0=py310h2372a71_0
   - urllib3=2.1.0=pyhd8ed1ab_0
@@ -280,7 +308,6 @@ specs:
   - xz=5.2.6=h166bdaf_0
   - yaml=0.2.5=h7f98852_2
   - zipp=3.17.0=pyhd8ed1ab_0
-  - zlib=1.2.13=hd590300_5
   - zstandard=0.21.0=py310h1275a96_1
   - zstd=1.5.5=hfc55251_0
 
diff --git a/conda/conda-linux-64.lock.yml b/conda/conda-linux-64.lock.yml
index a55381371..f93edce33 100644
--- a/conda/conda-linux-64.lock.yml
+++ b/conda/conda-linux-64.lock.yml
@@ -1,8 +1,10 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 64edf884c0703192429ca4550783117aa4dec6e7f99345cadcd08e5dead6a8cf
+# input_hash: 19b5246d5b6d76b88495213cb26c2b561f0b4130f379ec32df18e09b28bd0c13
 
 channels:
+  - pytorch
+  - nvidia
   - conda-forge
   - bioconda
 dependencies:
@@ -12,27 +14,31 @@ dependencies:
   - alembic=1.13.1=pyhd8ed1ab_0
   - anndata=0.8.0=pyhd8ed1ab_1
   - antlr-python-runtime=4.9.3=pyhd8ed1ab_1
+  - aom=3.7.1=h59595ed_0
   - arpack=3.8.0=nompi_h0baa96a_101
   - astropy=5.2.2=py310h0a54255_0
   - attrs=23.2.0=pyh71513ae_0
-  - aws-c-auth=0.7.3=h28f7589_1
-  - aws-c-cal=0.6.1=hc309b26_1
-  - aws-c-common=0.9.0=hd590300_0
-  - aws-c-compression=0.2.17=h4d4d85c_2
-  - aws-c-event-stream=0.3.1=h2e3709c_4
-  - aws-c-http=0.7.11=h00aa349_4
-  - aws-c-io=0.13.32=he9a53bd_1
-  - aws-c-mqtt=0.9.3=hb447be9_1
-  - aws-c-s3=0.3.14=hf3aad02_1
-  - aws-c-sdkutils=0.1.12=h4d4d85c_1
-  - aws-checksums=0.1.17=h4d4d85c_1
-  - aws-crt-cpp=0.21.0=hb942446_5
-  - aws-sdk-cpp=1.10.57=h85b1a90_19
+  - aws-c-auth=0.7.5=h2acc10b_2
+  - aws-c-cal=0.6.9=h0fad3b2_0
+  - aws-c-common=0.9.5=hd590300_0
+  - aws-c-compression=0.2.17=h3e65c2a_5
+  - aws-c-event-stream=0.3.2=hc1d3383_5
+  - aws-c-http=0.7.13=h858fa18_9
+  - aws-c-io=0.13.35=hf90439a_7
+  - aws-c-mqtt=0.9.8=hd23f6f0_1
+  - aws-c-s3=0.3.22=h2de862a_1
+  - aws-c-sdkutils=0.1.12=h3e65c2a_4
+  - aws-checksums=0.1.17=h3e65c2a_4
+  - aws-crt-cpp=0.24.4=h233f1e4_5
+  - aws-sdk-cpp=1.11.182=h18c0b32_3
   - bcrypt=4.1.2=py310hcb5633a_0
+  - blas=2.120=mkl
+  - blas-devel=3.9.0=20_linux64_mkl
   - blinker=1.7.0=pyhd8ed1ab_0
-  - brotli=1.0.9=h166bdaf_9
-  - brotli-bin=1.0.9=h166bdaf_9
-  - brotli-python=1.0.9=py310hd8f1fbe_9
+  - blosc=1.21.5=h0f2a231_0
+  - brotli=1.1.0=hd590300_1
+  - brotli-bin=1.1.0=hd590300_1
+  - brotli-python=1.1.0=py310hc6cd4ac_1
   - bzip2=1.0.8=hd590300_5
   - c-ares=1.24.0=hd590300_0
   - ca-certificates=2023.11.17=hbcca054_0
@@ -41,7 +47,7 @@ dependencies:
   - certifi=2023.11.17=pyhd8ed1ab_0
   - cffi=1.16.0=py310h2fee648_0
   - charset-normalizer=3.3.2=pyhd8ed1ab_0
-  - chex=0.1.83=pyhd8ed1ab_0
+  - chex=0.1.85=pyhd8ed1ab_0
   - click=8.1.7=unix_pyh707e725_0
   - cloudpickle=2.2.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_0
@@ -51,21 +57,26 @@ dependencies:
   - contextlib2=21.6.0=pyhd8ed1ab_0
   - contourpy=1.2.0=py310hd41b1e2_0
   - cryptography=41.0.7=py310hb8475ec_1
-  - cuda-version=11.8=h70ddcb2_2
+  - cuda-cudart=11.7.99=0
+  - cuda-cupti=11.7.101=0
+  - cuda-libraries=11.7.1=0
+  - cuda-nvrtc=11.7.99=0
+  - cuda-nvtx=11.7.91=0
+  - cuda-runtime=11.7.1=0
   - cudatoolkit=11.8.0=h4ba93d1_12
-  - cudnn=8.8.0.121=hcdd5f01_4
   - cycler=0.12.1=pyhd8ed1ab_0
   - databricks-cli=0.18.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
+  - dav1d=1.2.1=hd590300_0
   - desert=2022.9.22=pyhd8ed1ab_2
-  - dm-tree=0.1.8=py310hb875b13_0
   - docker-py=6.1.3=pyhd8ed1ab_0
   - docrep=0.3.2=pyh44b312d_0
   - entrypoints=0.4=pyhd8ed1ab_0
   - et_xmlfile=1.1.0=pyhd8ed1ab_0
+  - etils=1.6.0=pyhd8ed1ab_1
   - exceptiongroup=1.2.0=pyhd8ed1ab_0
   - flask=2.3.3=pyhd8ed1ab_0
-  - flax=0.6.1=pyhd8ed1ab_1
+  - flax=0.7.5=pyhd8ed1ab_0
   - fonttools=4.47.0=py310h2372a71_0
   - freetype=2.12.1=h267a509_2
   - fsspec=2023.12.2=pyhca7485f_0
@@ -90,8 +101,8 @@ dependencies:
   - importlib_resources=6.1.1=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_0
   - itsdangerous=2.1.2=pyhd8ed1ab_0
-  - jax=0.4.13=pyhd8ed1ab_0
-  - jaxlib=0.4.12=cuda112py310h5656b0c_201
+  - jax=0.4.23=pyhd8ed1ab_0
+  - jaxlib=0.4.23=cpu_py310h9ed8a0c_0
   - jinja2=3.1.2=pyhd8ed1ab_1
   - joblib=1.3.2=pyhd8ed1ab_0
   - keyutils=1.6.1=h166bdaf_0
@@ -101,16 +112,23 @@ dependencies:
   - ld_impl_linux-64=2.40=h41732ed_0
   - leidenalg=0.9.1=py310heca2aa9_0
   - lerc=4.0.0=h27087fc_0
-  - libabseil=20230125.3=cxx17_h59595ed_0
+  - libabseil=20230802.1=cxx17_h59595ed_0
   - libaec=1.1.2=h59595ed_1
-  - libarrow=11.0.0=hb87d912_33_cpu
-  - libblas=3.9.0=20_linux64_openblas
-  - libbrotlicommon=1.0.9=h166bdaf_9
-  - libbrotlidec=1.0.9=h166bdaf_9
-  - libbrotlienc=1.0.9=h166bdaf_9
-  - libcblas=3.9.0=20_linux64_openblas
+  - libarrow=11.0.0=hecbb4c5_46_cpu
+  - libavif16=1.0.3=hef5bec9_1
+  - libblas=3.9.0=20_linux64_mkl
+  - libbrotlicommon=1.1.0=hd590300_1
+  - libbrotlidec=1.1.0=hd590300_1
+  - libbrotlienc=1.1.0=hd590300_1
+  - libcblas=3.9.0=20_linux64_mkl
   - libcrc32c=1.1.2=h9c3ff4c_0
+  - libcublas=11.10.3.66=0
+  - libcufft=10.7.2.124=h4fbf590_0
+  - libcufile=1.8.1.2=0
+  - libcurand=10.3.4.107=0
   - libcurl=8.5.0=hca28451_0
+  - libcusolver=11.4.0.1=0
+  - libcusparse=11.7.4.91=0
   - libdeflate=1.19=hd590300_0
   - libedit=3.1.20191231=he28a2e2_2
   - libev=4.33=hd590300_2
@@ -119,24 +137,29 @@ dependencies:
   - libgcc-ng=13.2.0=h807b86a_3
   - libgfortran-ng=13.2.0=h69a702a_3
   - libgfortran5=13.2.0=ha4646dd_3
-  - libgoogle-cloud=2.12.0=hac9eb74_1
-  - libgrpc=1.54.3=hb20ce57_0
+  - libgoogle-cloud=2.12.0=h19a6dae_3
+  - libgrpc=1.58.2=he06187c_0
   - libhwloc=2.9.3=default_h554bfaf_1009
   - libiconv=1.17=hd590300_2
   - libjpeg-turbo=3.0.0=hd590300_1
-  - liblapack=3.9.0=20_linux64_openblas
+  - liblapack=3.9.0=20_linux64_mkl
+  - liblapacke=3.9.0=20_linux64_mkl
   - libllvm14=14.0.6=hcd5def8_4
   - libnghttp2=1.58.0=h47da74e_1
+  - libnl=3.9.0=hd590300_0
+  - libnpp=11.7.4.75=0
   - libnsl=2.0.1=hd590300_0
   - libnuma=2.0.16=h0b41bf4_1
+  - libnvjpeg=11.8.0.2=0
   - libopenblas=0.3.25=pthreads_h413a1c8_0
   - libpng=1.6.39=h753d276_0
-  - libprotobuf=3.21.12=hfc55251_2
+  - libprotobuf=4.24.3=hf27288f_1
+  - libre2-11=2023.06.02=h7a70373_0
   - libsodium=1.0.18=h36c2ea0_1
   - libsqlite=3.44.2=h2797004_0
   - libssh2=1.11.0=h0841786_0
   - libstdcxx-ng=13.2.0=h7e041cc_3
-  - libthrift=0.18.1=h8fd135c_2
+  - libthrift=0.19.0=hb90f79a_1
   - libtiff=4.6.0=ha9c0a0a_2
   - libutf8proc=2.8.0=h166bdaf_0
   - libuuid=2.38.1=h0b41bf4_0
@@ -150,13 +173,14 @@ dependencies:
   - llvmlite=0.41.1=py310h1b8f574_0
   - loompy=3.0.6=py_0
   - lz4-c=1.9.4=hcb278e6_0
-  - magma=2.6.2=hc72dce7_0
   - mako=1.3.0=pyhd8ed1ab_0
   - markdown=3.5.1=pyhd8ed1ab_0
   - markupsafe=2.1.3=py310h2372a71_1
   - marshmallow=3.19.0=pyhd8ed1ab_0
   - matplotlib-base=3.8.2=py310h62c0568_0
-  - mkl=2022.2.1=h84fe81f_16997
+  - mkl=2023.2.0=h84fe81f_50496
+  - mkl-devel=2023.2.0=ha770c72_50496
+  - mkl-include=2023.2.0=h84fe81f_50496
   - ml-collections=0.1.1=pyhd8ed1ab_0
   - ml_dtypes=0.3.1=py310hcc13569_2
   - mlflow=2.2.2=py310ha13cd29_0
@@ -166,22 +190,23 @@ dependencies:
   - munkres=1.1.4=pyh9f0ad1d_0
   - mypy_extensions=1.0.0=pyha770c72_0
   - natsort=8.4.0=pyhd8ed1ab_0
-  - nccl=2.19.4.1=h6103f9b_0
   - ncurses=6.4=h59595ed_2
+  - nest-asyncio=1.5.8=pyhd8ed1ab_0
   - networkx=3.2.1=pyhd8ed1ab_0
-  - ninja=1.11.1=h924138e_0
   - numba=0.58.1=py310h7dc5dd1_0
   - numpy=1.26.2=py310hb13e2d6_0
   - numpy_groupies=0.10.2=pyhd8ed1ab_0
-  - numpyro=0.13.2=pyhd8ed1ab_0
+  - numpyro=0.13.2=pyhd8ed1ab_1
   - oauthlib=3.2.2=pyhd8ed1ab_0
   - omegaconf=2.3.0=pyhd8ed1ab_0
   - openjpeg=2.5.0=h488ebb8_3
   - openpyxl=3.1.2=py310h2372a71_1
   - openssl=3.2.0=hd590300_1
+  - opt-einsum=3.3.0=hd8ed1ab_2
   - opt_einsum=3.3.0=pyhc1e730c_2
   - optax=0.1.7=pyhd8ed1ab_0
-  - orc=1.9.0=h2f23424_1
+  - orbax-checkpoint=0.4.4=pyhd8ed1ab_0
+  - orc=1.9.0=h208142c_3
   - packaging=23.2=pyhd8ed1ab_0
   - pandas=1.5.3=py310h9b08913_1
   - paramiko=3.4.0=pyhd8ed1ab_0
@@ -193,9 +218,10 @@ dependencies:
   - pooch=1.8.0=pyhd8ed1ab_0
   - prometheus_client=0.19.0=pyhd8ed1ab_0
   - prometheus_flask_exporter=0.23.0=pyhd8ed1ab_0
-  - protobuf=4.21.12=py310heca2aa9_0
+  - protobuf=4.24.3=py310h620c231_1
   - pthread-stubs=0.4=h36c2ea0_1001
-  - pyarrow=11.0.0=py310he6bfd7f_33_cpu
+  - pyarrow=11.0.0=py310h7f027b5_46_cpu
+  - pybind11-abi=4=hd8ed1ab_3
   - pycparser=2.21=pyhd8ed1ab_0
   - pyerfa=2.0.1.1=py310h1f7b6fc_0
   - pygments=2.17.2=pyhd8ed1ab_0
@@ -212,18 +238,21 @@ dependencies:
   - python-dateutil=2.8.2=pyhd8ed1ab_0
   - python-igraph=0.11.3=py310h1e3ba49_0
   - python_abi=3.10=4_cp310
-  - pytorch=1.13.1=cuda112py310he33e0d6_200
+  - pytorch=1.13.1=py3.10_cuda11.7_cudnn8.5.0_0
+  - pytorch-cuda=11.7=h778d358_5
   - pytorch-lightning=1.9.4=pyhd8ed1ab_1
+  - pytorch-mutex=1.0=cuda
   - pytz=2022.7.1=pyhd8ed1ab_0
   - pywin32-on-windows=0.1.0=pyh1179c8e_3
   - pyyaml=6.0.1=py310h2372a71_1
   - querystring_parser=1.2.4=py_0
-  - rdma-core=28.9=h59595ed_1
-  - re2=2023.03.02=h8c504da_0
+  - rav1e=0.6.6=he8a937b_2
+  - rdma-core=49.0=hd3aeb46_2
+  - re2=2023.06.02=h2873b5e_0
   - readline=8.2=h8228510_1
   - requests=2.31.0=pyhd8ed1ab_0
   - rich=12.6.0=pyhd8ed1ab_0
-  - s2n=1.3.49=h06160fa_0
+  - s2n=1.3.56=h06160fa_0
   - scanpy=1.9.6=pyhd8ed1ab_1
   - scikit-learn=1.3.2=py310h1fdf081_2
   - scikit-misc=0.1.4=py310h3254323_4
@@ -236,7 +265,6 @@ dependencies:
   - setuptools=68.2.2=pyhd8ed1ab_0
   - shap=0.44.0=cuda118py310he2121af_6
   - six=1.16.0=pyh6c4a22f_0
-  - sleef=3.5.1=h9b69904_2
   - slicer=0.0.7=pyhd8ed1ab_0
   - smmap=5.0.0=pyhd8ed1ab_0
   - snappy=1.1.10=h9fff704_0
@@ -244,8 +272,10 @@ dependencies:
   - sqlparse=0.4.4=pyhd8ed1ab_0
   - statsmodels=0.14.1=py310h1f7b6fc_0
   - stdlib-list=0.8.0=pyhd8ed1ab_0
+  - svt-av1=1.8.0=h59595ed_0
   - tabulate=0.9.0=pyhd8ed1ab_1
   - tbb=2021.11.0=h00ab1b0_0
+  - tensorstore=0.1.44=py310h8ba0d1c_3
   - termcolor=2.2.0=pyhd8ed1ab_0
   - texttable=1.7.0=pyhd8ed1ab_0
   - threadpoolctl=3.2.0=pyha21a80b_0
@@ -258,7 +288,7 @@ dependencies:
   - typing_extensions=4.9.0=pyha770c72_0
   - typing_inspect=0.9.0=pyhd8ed1ab_0
   - tzdata=2023d=h0c530f3_0
-  - ucx=1.14.1=h64cca9d_5
+  - ucx=1.15.0=h75e419f_2
   - umap-learn=0.5.5=py310hff52083_0
   - unicodedata2=15.1.0=py310h2372a71_0
   - urllib3=2.1.0=pyhd8ed1ab_0
@@ -271,7 +301,6 @@ dependencies:
   - xz=5.2.6=h166bdaf_0
   - yaml=0.2.5=h7f98852_2
   - zipp=3.17.0=pyhd8ed1ab_0
-  - zlib=1.2.13=hd590300_5
   - zstandard=0.21.0=py310h1275a96_1
   - zstd=1.5.5=hfc55251_0
   - pip:
diff --git a/conda/conda-lock.yml b/conda/conda-lock.yml
index f0d424dbf..93b346359 100644
--- a/conda/conda-lock.yml
+++ b/conda/conda-lock.yml
@@ -15,8 +15,12 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: 64edf884c0703192429ca4550783117aa4dec6e7f99345cadcd08e5dead6a8cf
+    linux-64: 19b5246d5b6d76b88495213cb26c2b561f0b4130f379ec32df18e09b28bd0c13
   channels:
+  - url: pytorch
+    used_env_vars: []
+  - url: nvidia
+    used_env_vars: []
   - url: conda-forge
     used_env_vars: []
   - url: bioconda
@@ -111,6 +115,19 @@ package:
     sha256: b91f8ab4ac2b48972fbee1fc8e092cc452fdf59156e4ff2322c94bbf73650f94
   category: main
   optional: false
+- name: aom
+  version: 3.7.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aom-3.7.1-h59595ed_0.conda
+  hash:
+    md5: 504e70332b8322cda93b7bceb5925fca
+    sha256: 57ad60805ffc7097a690d6d0e07ba432a3dae187158e13001c392177358478f9
+  category: main
+  optional: false
 - name: arpack
   version: 3.8.0
   manager: conda
@@ -160,46 +177,46 @@ package:
   category: main
   optional: false
 - name: aws-c-auth
-  version: 0.7.3
+  version: 0.7.5
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-cal: '>=0.6.1,<0.6.2.0a0'
-    aws-c-common: '>=0.9.0,<0.9.1.0a0'
-    aws-c-http: '>=0.7.11,<0.7.12.0a0'
-    aws-c-io: '>=0.13.32,<0.13.33.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.5,<0.9.6.0a0'
+    aws-c-http: '>=0.7.13,<0.7.14.0a0'
+    aws-c-io: '>=0.13.35,<0.13.36.0a0'
     aws-c-sdkutils: '>=0.1.12,<0.1.13.0a0'
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.3-h28f7589_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.5-h2acc10b_2.conda
   hash:
-    md5: 97503d3e565004697f1651753aa95b9e
-    sha256: d811d310ea601fc37f8a843e8aa7992c3286702d163472bd80bd81c7cb301f7b
+    md5: 832940247afa1a5f6c8506e138141cd3
+    sha256: 058e0e1dfdee03a4fcee37d276f26844bd0fb60ea37cec248c88119e6e087c66
   category: main
   optional: false
 - name: aws-c-cal
-  version: 0.6.1
+  version: 0.6.9
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-common: '>=0.9.0,<0.9.1.0a0'
+    aws-c-common: '>=0.9.5,<0.9.6.0a0'
     libgcc-ng: '>=12'
-    openssl: '>=3.1.2,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.1-hc309b26_1.conda
+    openssl: '>=3.1.4,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.9-h0fad3b2_0.conda
   hash:
-    md5: cc09293a2c2b7fd77aff284f370c12c0
-    sha256: e5de0a103e6eb6597c012d67daa5d8ccb65e25e1fe22ef5cb758835276be90b9
+    md5: fb2e57e277d6f22fd3ad63aaa4353f1f
+    sha256: 88bd3173d7079f86973d9fdc46e42850746004b92b62348dc40f957eeab18aee
   category: main
   optional: false
 - name: aws-c-common
-  version: 0.9.0
+  version: 0.9.5
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.0-hd590300_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.5-hd590300_0.conda
   hash:
-    md5: 71b89db63b5b504e7afc8ad901172e1e
-    sha256: d70c478150d2551bf7b200bfa3d7cb8a016471819a58bb7fe18a4e526dae3567
+    md5: 122ea634665516ff5af2f21c816fbe33
+    sha256: be392c2287ff96b47425b6e27e06305360f2eefc850b443db4e91313963c6e57
   category: main
   optional: false
 - name: aws-c-compression
@@ -207,93 +224,93 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-common: '>=0.9.0,<0.9.1.0a0'
+    aws-c-common: '>=0.9.5,<0.9.6.0a0'
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.17-h4d4d85c_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.17-h3e65c2a_5.conda
   hash:
-    md5: 9ca99452635fe03eb5fa937f5ae604b0
-    sha256: 8ff6538db97a861be404f11dbc01abe7d4bc9978df3e573af1d08e2590eb500e
+    md5: e80b852f5333dd56353beb73f0fecd43
+    sha256: d791fe3a0ce361b37e00b7e796a4db13408cddaa31c7991617ca5f5dca213895
   category: main
   optional: false
 - name: aws-c-event-stream
-  version: 0.3.1
+  version: 0.3.2
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-common: '>=0.9.0,<0.9.1.0a0'
-    aws-c-io: '>=0.13.32,<0.13.33.0a0'
+    aws-c-common: '>=0.9.5,<0.9.6.0a0'
+    aws-c-io: '>=0.13.35,<0.13.36.0a0'
     aws-checksums: '>=0.1.17,<0.1.18.0a0'
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.3.1-h2e3709c_4.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.3.2-hc1d3383_5.conda
   hash:
-    md5: 2cf21b1cbc1c096a28ffa2892257a2c1
-    sha256: e733a19296044d23f785f4c1c18f82efce1b032e0913af93e70dcce10de6f688
+    md5: 9064e3f924fe776f23197ac09e178915
+    sha256: 754ce138ad461df1ec81cfce817479af10cc3e2514eb265d16b277091fae8af4
   category: main
   optional: false
 - name: aws-c-http
-  version: 0.7.11
+  version: 0.7.13
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-cal: '>=0.6.1,<0.6.2.0a0'
-    aws-c-common: '>=0.9.0,<0.9.1.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.5,<0.9.6.0a0'
     aws-c-compression: '>=0.2.17,<0.2.18.0a0'
-    aws-c-io: '>=0.13.32,<0.13.33.0a0'
+    aws-c-io: '>=0.13.35,<0.13.36.0a0'
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.7.11-h00aa349_4.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.7.13-h858fa18_9.conda
   hash:
-    md5: cb932dff7328ff620ce8059c9968b095
-    sha256: a4a90f366fe9235be7700306efef999d2d95ebc53e3701efb899ff59eadae6cd
+    md5: efa9ab8629f45e3a4d0e0e7c1f5d16d4
+    sha256: 702fe5fb0d5f010d843dcc31af6d85f72e00356ce62ac9be076329440e15088b
   category: main
   optional: false
 - name: aws-c-io
-  version: 0.13.32
+  version: 0.13.35
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-cal: '>=0.6.1,<0.6.2.0a0'
-    aws-c-common: '>=0.9.0,<0.9.1.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
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+    openssl: '>=3.1.4,<4.0a0'
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   platform: linux-64
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+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.12-h3e65c2a_4.conda
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+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.24.4-h233f1e4_5.conda
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+    openssl: '>=3.1.4,<4.0a0'
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   category: main
   optional: false
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   category: main
   optional: false
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-    libbrotlidec: 1.0.9
-    libbrotlienc: 1.0.9
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     libgcc-ng: '>=12'
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 - name: brotli-python
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     python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.0.9-py310hd8f1fbe_9.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hc6cd4ac_1.conda
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+    typing-extensions: '>=4.2.0'
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   category: main
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-- name: cuda-version
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   platform: linux-64
   dependencies: {}
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+  manager: conda
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+    sha256: 99fccfabca4fda89d71fb92a42b77052f2b43e8ad9207bca1f88c3c518be3f82
+  category: main
+  optional: false
+- name: cudatoolkit
+  version: 11.8.0
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    cuda-version: '>=11.0,<12.0a0'
-    cudatoolkit: 11.*
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/cudnn-8.8.0.121-hcdd5f01_4.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/cudatoolkit-11.8.0-h4ba93d1_12.conda
   hash:
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-    sha256: 3766ed675d40bf656a641c43dd354c06db48bb3c95465ab40cd62777579799a9
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   category: main
   optional: false
 - name: cycler
@@ -756,6 +877,18 @@ package:
     sha256: 63a83e62e0939bc1ab32de4ec736f6403084198c4639638b354a352113809c92
   category: main
   optional: false
+- name: dav1d
+  version: 1.2.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
+  hash:
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+    sha256: 22053a5842ca8ee1cf8e1a817138cdb5e647eb2c46979f84153f6ad7bde73020
+  category: main
+  optional: false
 - name: desert
   version: 2022.9.22
   manager: conda
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   category: main
   optional: false
-- name: dm-tree
-  version: 0.1.8
-  manager: conda
-  platform: linux-64
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-    libstdcxx-ng: '>=12'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/dm-tree-0.1.8-py310hb875b13_0.conda
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-  optional: false
 - name: docker-py
   version: 6.1.3
   manager: conda
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     sha256: 0c7bb50e1382615a660468dc531b8b17c5b91b88a02ed131c8e3cc63db507ce2
   category: main
   optional: false
+- name: etils
+  version: 1.6.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.10'
+  url: https://conda.anaconda.org/conda-forge/noarch/etils-1.6.0-pyhd8ed1ab_1.conda
+  hash:
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+    sha256: 7773a1f30a59cd41bc6cf8529c91d2699d53a7b7bcde9e466f1df1b424376f73
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+  optional: false
 - name: exceptiongroup
   version: 1.2.0
   manager: conda
@@ -874,23 +1003,25 @@ package:
   category: main
   optional: false
 - name: flax
-  version: 0.6.1
+  version: 0.7.5
   manager: conda
   platform: linux-64
   dependencies:
-    jax: '>=0.3.2,<0.4.14'
+    jax: '>=0.4.11'
     matplotlib-base: ''
     msgpack-python: ''
     numpy: '>=1.12'
     optax: ''
-    python: '>=3.6'
+    orbax-checkpoint: ''
+    python: '>=3.9'
     pyyaml: '>=5.4.1'
     rich: '>=11.1.0'
-    typing_extensions: '>=4.1.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/flax-0.6.1-pyhd8ed1ab_1.conda
+    tensorstore: ''
+    typing_extensions: '>=4.2.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/flax-0.7.5-pyhd8ed1ab_0.conda
   hash:
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-    sha256: f1c1bce9d29387352b5b15ca1829327b050eb40c1391ec133c2687120a0027dd
+    md5: 4256f35452e531bcca39cb019ed52308
+    sha256: 12092562e180d567a99d567281bd53440e427b70d761e33a47227a8fbde4ec29
   category: main
   optional: false
 - name: fonttools
@@ -1228,48 +1359,43 @@ package:
   category: main
   optional: false
 - name: jax
-  version: 0.4.13
+  version: 0.4.23
   manager: conda
   platform: linux-64
   dependencies:
     importlib_metadata: '>=4.6'
-    jaxlib: '>=0.4.11'
-    ml_dtypes: '>=0.1.0'
-    numpy: '>=1.20'
-    opt_einsum: ''
-    python: '>=3.8'
-    scipy: '>=1.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.13-pyhd8ed1ab_0.conda
+    jaxlib: '>=0.4.19'
+    ml_dtypes: '>=0.2.0'
+    numpy: '>=1.22'
+    opt-einsum: ''
+    python: '>=3.9'
+    scipy: '>=1.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.23-pyhd8ed1ab_0.conda
   hash:
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-    sha256: a5e3be94d00f8ede737dcab7aa3599ee7fade6108cbe01f0f440315eb72a4675
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+    sha256: 2a66ada44c776af070118b558d90036c2cfb070d834fa73ab54e8492324b9ef2
   category: main
   optional: false
 - name: jaxlib
-  version: 0.4.12
+  version: 0.4.23
   manager: conda
   platform: linux-64
   dependencies:
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-    cudnn: '>=8.8.0.121,<9.0a0'
-    libabseil: '>=20230125.2,<20230126.0a0'
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-    libgrpc: '>=1.54.2,<1.55.0a0'
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     libzlib: '>=1.2.13,<1.3.0a0'
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-    numpy: '>=1.21.6,<2.0a0'
-    openssl: '>=3.1.1,<4.0a0'
+    ml_dtypes: '>=0.2.0'
+    numpy: '>=1.22.4,<2.0a0'
+    openssl: '>=3.2.0,<4.0a0'
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
-    scipy: '>=1.5'
-  url: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.12-cuda112py310h5656b0c_201.conda
+    scipy: '>=1.9'
+  url: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cpu_py310h9ed8a0c_0.conda
   hash:
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-    sha256: 9ea7e1a4cbae1e100d31cf497413c6a8b4ac2c575cb524985863c16841f8101f
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   category: main
   optional: false
 - name: jinja2
@@ -1398,16 +1524,16 @@ package:
   category: main
   optional: false
 - name: libabseil
-  version: '20230125.3'
+  version: '20230802.1'
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20230125.3-cxx17_h59595ed_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20230802.1-cxx17_h59595ed_0.conda
   hash:
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   category: main
   optional: false
 - name: libaec
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   platform: linux-64
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-    aws-sdk-cpp: '>=1.10.57,<1.10.58.0a0'
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-    libbrotlienc: '>=1.0.9,<1.1.0a0'
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     libgoogle-cloud: '>=2.12.0,<2.13.0a0'
-    libgrpc: '>=1.54.3,<1.55.0a0'
-    libprotobuf: '>=3.21.12,<3.22.0a0'
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     libstdcxx-ng: '>=12'
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     lz4-c: '>=1.9.3,<1.10.0a0'
-    openssl: '>=3.1.2,<4.0a0'
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     orc: '>=1.9.0,<1.9.1.0a0'
-    re2: '>=2023.3.2,<2023.3.3.0a0'
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     snappy: '>=1.1.10,<2.0a0'
-    ucx: '>=1.14.0,<1.15.0a0'
-    zstd: '>=1.5.2,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-11.0.0-hb87d912_33_cpu.conda
+    ucx: '>=1.15.0,<1.16.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-11.0.0-hecbb4c5_46_cpu.conda
   hash:
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+  optional: false
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+  version: 1.0.3
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    dav1d: '>=1.2.1,<1.2.2.0a0'
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+    rav1e: '>=0.6.6,<1.0a0'
+    svt-av1: '>=1.8.0,<1.8.1.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libavif16-1.0.3-hef5bec9_1.conda
+  hash:
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   category: main
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 - name: libblas
@@ -1462,49 +1605,49 @@ package:
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   platform: linux-64
   dependencies:
-    libopenblas: '>=0.3.25,<1.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-20_linux64_openblas.conda
+    mkl: '>=2023.2.0,<2024.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-20_linux64_mkl.conda
   hash:
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   category: main
   optional: false
 - name: libbrotlicommon
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+  version: 1.1.0
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.0.9-h166bdaf_9.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hd590300_1.conda
   hash:
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   category: main
   optional: false
 - name: libbrotlidec
-  version: 1.0.9
+  version: 1.1.0
   manager: conda
   platform: linux-64
   dependencies:
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+    libbrotlicommon: 1.1.0
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.0.9-h166bdaf_9.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda
   hash:
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   category: main
   optional: false
 - name: libbrotlienc
-  version: 1.0.9
+  version: 1.1.0
   manager: conda
   platform: linux-64
   dependencies:
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+    libbrotlicommon: 1.1.0
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.0.9-h166bdaf_9.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda
   hash:
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   category: main
   optional: false
 - name: libcblas
@@ -1513,10 +1656,10 @@ package:
   platform: linux-64
   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-20_linux64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-20_linux64_mkl.conda
   hash:
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   category: main
   optional: false
 - name: libcrc32c
@@ -1532,6 +1675,50 @@ package:
     sha256: fd1d153962764433fe6233f34a72cdeed5dcf8a883a85769e8295ce940b5b0c5
   category: main
   optional: false
+- name: libcublas
+  version: 11.10.3.66
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libcublas-11.10.3.66-0.tar.bz2
+  hash:
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+    sha256: 14c30da20a9c1519ec5358f493222913ede2fa1048b9c65cfdf29e4c1df4b057
+  category: main
+  optional: false
+- name: libcufft
+  version: 10.7.2.124
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libcufft-10.7.2.124-h4fbf590_0.tar.bz2
+  hash:
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+    sha256: cd57e77ca3ec6aee4dc0915fc0db96091a0b7600f130a57ac24a05ff0bfce832
+  category: main
+  optional: false
+- name: libcufile
+  version: 1.8.1.2
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libcufile-1.8.1.2-0.tar.bz2
+  hash:
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+    sha256: f399e21e2d8a286d74354c0df94635f259cfb6649031a8f48a5654f97387014f
+  category: main
+  optional: false
+- name: libcurand
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+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libcurand-10.3.4.107-0.tar.bz2
+  hash:
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+  optional: false
 - name: libcurl
   version: 8.5.0
   manager: conda
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     sha256: 00a6bea5ff90ca58eeb15ebc98e08ffb88bddaff27396bb62640064f59d29cf0
   category: main
   optional: false
+- name: libcusolver
+  version: 11.4.0.1
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libcusolver-11.4.0.1-0.tar.bz2
+  hash:
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+  category: main
+  optional: false
+- name: libcusparse
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+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libcusparse-11.7.4.91-0.tar.bz2
+  hash:
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+  optional: false
 - name: libdeflate
   version: '1.19'
   manager: conda
@@ -1654,38 +1863,38 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    libabseil: '>=20230125.3,<20230126.0a0'
+    libabseil: '>=20230802.1,<20230803.0a0'
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-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.54.3-hb20ce57_0.conda
+    openssl: '>=3.1.4,<4.0a0'
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+  url: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.58.2-he06187c_0.conda
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-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-20_linux64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-20_linux64_mkl.conda
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+  manager: conda
+  platform: linux-64
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+    libcblas: 3.9.0
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+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.9.0-20_linux64_mkl.conda
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   category: main
   optional: false
+- name: libnl
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+  manager: conda
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+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/libnl-3.9.0-hd590300_0.conda
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+  manager: conda
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+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libnpp-11.7.4.75-0.tar.bz2
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   category: main
   optional: false
+- name: libnvjpeg
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+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/nvidia/linux-64/libnvjpeg-11.8.0.2-0.tar.bz2
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 - name: libopenblas
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   optional: false
 - name: libprotobuf
-  version: 3.21.12
+  version: 4.24.3
   manager: conda
   platform: linux-64
   dependencies:
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     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
     libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-3.21.12-hfc55251_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-4.24.3-hf27288f_1.conda
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 - name: libsodium
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   optional: false
 - name: libthrift
-  version: 0.18.1
+  version: 0.19.0
   manager: conda
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     libstdcxx-ng: '>=12'
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+    openssl: '>=3.1.3,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libthrift-0.19.0-hb90f79a_1.conda
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 - name: libtiff
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-- name: magma
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   optional: false
 - name: mkl
-  version: 2022.2.1
+  version: 2023.2.0
   manager: conda
   platform: linux-64
   dependencies:
     _openmp_mutex: '>=4.5'
-    llvm-openmp: '>=15.0.6'
+    llvm-openmp: '>=17.0.3'
     tbb: 2021.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.2.1-h84fe81f_16997.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2023.2.0-h84fe81f_50496.conda
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+    sha256: 046073737bf73153b0c39e343b197cdf0b7867d336962369407465a17ea5979a
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+  optional: false
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+  manager: conda
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+  dependencies:
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+    mkl-include: 2023.2.0
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   hash:
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+  version: 2023.2.0
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/mkl-include-2023.2.0-h84fe81f_50496.conda
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 - name: ml-collections
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   category: main
   optional: false
-- name: nccl
-  version: 2.19.4.1
+- name: ncurses
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   manager: conda
   platform: linux-64
   dependencies:
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     libgcc-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/nccl-2.19.4.1-h6103f9b_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4-h59595ed_2.conda
   hash:
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   optional: false
-- name: ncurses
-  version: '6.4'
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4-h59595ed_2.conda
+    python: '>=3.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.5.8-pyhd8ed1ab_0.conda
   hash:
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 - name: networkx
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-- name: ninja
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   manager: conda
@@ -2459,16 +2722,16 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    jax: '>=0.2'
-    jaxlib: '>=0.1.55'
+    jax: '>=0.4.14'
+    jaxlib: '>=0.4.14'
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     numpy: ''
     python: '>=3.6'
     tqdm: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/numpyro-0.13.2-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/numpyro-0.13.2-pyhd8ed1ab_1.conda
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 - name: oauthlib
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   category: main
   optional: false
+- name: opt-einsum
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
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 - name: opt_einsum
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   manager: conda
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   category: main
   optional: false
+- name: orbax-checkpoint
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+    etils: ''
+    importlib_resources: ''
+    jax: '>=0.4.9'
+    jaxlib: ''
+    msgpack-python: ''
+    nest-asyncio: ''
+    numpy: ''
+    protobuf: ''
+    python: '>=3.9'
+    pyyaml: ''
+    tensorstore: '>=0.1.35'
+    typing_extensions: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/orbax-checkpoint-0.4.4-pyhd8ed1ab_0.conda
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   manager: conda
   platform: linux-64
   dependencies:
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+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/orc-1.9.0-h208142c_3.conda
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   optional: false
 - name: protobuf
-  version: 4.21.12
+  version: 4.24.3
   manager: conda
   platform: linux-64
   dependencies:
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     setuptools: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/protobuf-4.21.12-py310heca2aa9_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/protobuf-4.24.3-py310h620c231_1.conda
   hash:
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     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    numpy: '>=1.21.6,<2.0a0'
+    numpy: '>=1.22.4,<2.0a0'
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     python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-11.0.0-py310he6bfd7f_33_cpu.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-11.0.0-py310h7f027b5_46_cpu.conda
   hash:
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+- name: pybind11-abi
+  version: '4'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/pybind11-abi-4-hd8ed1ab_3.tar.bz2
+  hash:
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   category: main
   optional: false
 - name: pycparser
@@ -3052,30 +3363,39 @@ package:
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   platform: linux-64
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-    __glibc: '>=2.17,<3.0.a0'
-    _openmp_mutex: '>=4.5'
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-    mkl: '>=2022.2.1,<2023.0a0'
-    nccl: '>=2.14.3.1,<3.0a0'
-    ninja: ''
-    numpy: '>=1.21.6,<2.0a0'
+    blas: '*'
+    mkl: '>=2018'
     python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-    setuptools: ''
-    sleef: '>=3.5.1,<4.0a0'
+    pytorch-cuda: '>=11.7,<11.8'
+    pytorch-mutex: '1.0'
     typing_extensions: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/pytorch-1.13.1-cuda112py310he33e0d6_200.conda
+  url: https://conda.anaconda.org/pytorch/linux-64/pytorch-1.13.1-py3.10_cuda11.7_cudnn8.5.0_0.tar.bz2
+  hash:
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+    sha256: 5436468b810e477fbf3d07f4c9b2ff52ae25d1cba91955c49f7e8877bbf5965e
+  category: main
+  optional: false
+- name: pytorch-cuda
+  version: '11.7'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    cuda-cudart: '>=11.7,<11.8'
+    cuda-cupti: '>=11.7,<11.8'
+    cuda-libraries: '>=11.7,<11.8'
+    cuda-nvrtc: '>=11.7,<11.8'
+    cuda-nvtx: '>=11.7,<11.8'
+    cuda-runtime: '>=11.7,<11.8'
+    libcublas: '>=11.10.1.25,<11.11.3.6'
+    libcufft: '>=10.7.2.50,<10.9.0.58'
+    libcusolver: '>=11.3.5.50,<11.4.1.48'
+    libcusparse: '>=11.7.3.50,<11.7.5.86'
+    libnpp: '>=11.7.3.21,<11.8.0.86'
+    libnvjpeg: '>=11.7.2.34,<11.9.0.86'
+  url: https://conda.anaconda.org/pytorch/linux-64/pytorch-cuda-11.7-h778d358_5.tar.bz2
   hash:
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-    sha256: 1b19ce2bbbf6f9a40d7b4ac28d9a37f4b04a3d74a12b19f44ac2e673b06c46fe
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   category: main
   optional: false
 - name: pytorch-lightning
@@ -3099,6 +3419,17 @@ package:
     sha256: d8b88f754376f3677b5e53826079b2b80f8f513a3bef2add6d4cbf67f737e7bf
   category: main
   optional: false
+- name: pytorch-mutex
+  version: '1.0'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/pytorch/noarch/pytorch-mutex-1.0-cuda.tar.bz2
+  hash:
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+    sha256: c16316183f51b74ca5eee4dcb8631052f328c0bbf244176734a0b7d390b81ee3
+  category: main
+  optional: false
 - name: pytz
   version: 2022.7.1
   manager: conda
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     sha256: 06977a9af6d8605fb6068d8af6bb9c1cb565f8f5e15aa6cf0fb94109d4148b54
   category: main
   optional: false
+- name: rav1e
+  version: 0.6.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/rav1e-0.6.6-he8a937b_2.conda
+  hash:
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+    sha256: 91b3c1ced90d04ee2eded1f72cf3cbc19ff05a25e41876ef0758266a5bab009f
+  category: main
+  optional: false
 - name: rdma-core
-  version: '28.9'
+  version: '49.0'
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     libgcc-ng: '>=12'
+    libnl: '>=3.9.0,<4.0a0'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/rdma-core-28.9-h59595ed_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/rdma-core-49.0-hd3aeb46_2.conda
   hash:
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+    md5: 855579013120ad3078e7d5dcadb643e1
+    sha256: 3f541042f7b51484a996eab53493b9242969bc406614eba76ceecfa4f4a0822a
   category: main
   optional: false
 - name: re2
-  version: 2023.03.02
+  version: 2023.06.02
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.03.02-h8c504da_0.conda
+    libre2-11: 2023.06.02
+  url: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.06.02-h2873b5e_0.conda
   hash:
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-    sha256: 1727f893a352ca735fb96b09f9edf6fe18c409d65550fd37e8a192919e8c827b
+    md5: bb2d5e593ef13fe4aff0bc9440f945ae
+    sha256: 3e0bfb04b6d43312d711c5b49dbc3c7660b2e6e681ed504b1b322794462a1bcd
   category: main
   optional: false
 - name: readline
@@ -3226,16 +3569,16 @@ package:
   category: main
   optional: false
 - name: s2n
-  version: 1.3.49
+  version: 1.3.56
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    openssl: '>=3.1.2,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.3.49-h06160fa_0.conda
+    openssl: '>=3.1.4,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.3.56-h06160fa_0.conda
   hash:
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-    sha256: 7ef7af04a626003737ad311fe45165addcb53928117f1a892b78114f74be724c
+    md5: 04b4845b9e9b5a0ee6eba013ecdbbddb
+    sha256: 4c00411d49fefc6a53167c3120e386b3f35510544a44d2e647615b510a622f29
   category: main
   optional: false
 - name: scanpy
@@ -3478,19 +3821,6 @@ package:
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   category: main
   optional: false
-- name: sleef
-  version: 3.5.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    _openmp_mutex: '>=4.5'
-    libgcc-ng: '>=9.4.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/sleef-3.5.1-h9b69904_2.tar.bz2
-  hash:
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-    sha256: 77d644a16f682e6d01df63fe9d25315011393498b63cf08c0e548780e46b2170
-  category: main
-  optional: false
 - name: slicer
   version: 0.0.7
   manager: conda
@@ -3587,6 +3917,19 @@ package:
     sha256: 02a6976a4f567d2e8416008a47377b668adca5d2f434e948f0c8446f5e510093
   category: main
   optional: false
+- name: svt-av1
+  version: 1.8.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/svt-av1-1.8.0-h59595ed_0.conda
+  hash:
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+    sha256: 6d64facdcdaadc5a3e5e4382ee195b4fde3c84ae3d4156fdd9b78ba7de358ba7
+  category: main
+  optional: false
 - name: tabulate
   version: 0.9.0
   manager: conda
@@ -3613,6 +3956,33 @@ package:
     sha256: 05f2282cb204eeb62dbc698e14475f0bbb7f1eb07081d7f5da37d61ad3c4acb3
   category: main
   optional: false
+- name: tensorstore
+  version: 0.1.44
+  manager: conda
+  platform: linux-64
+  dependencies:
+    blosc: '>=1.21.5,<2.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    libavif16: '>=1.0.1,<2.0a0'
+    libcurl: '>=8.4.0,<9.0a0'
+    libgcc-ng: '>=12'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libprotobuf: '>=4.24.3,<4.24.4.0a0'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    numpy: '>=1.22.4,<2.0a0'
+    openssl: '>=3.1.4,<4.0a0'
+    pybind11-abi: '4'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+    xz: '>=5.2.6,<6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/tensorstore-0.1.44-py310h8ba0d1c_3.conda
+  hash:
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+    sha256: 09f425653f50240d015df5005745a2aaec355ae896c153831892dc13933d761b
+  category: main
+  optional: false
 - name: termcolor
   version: 2.2.0
   manager: conda
@@ -3764,18 +4134,18 @@ package:
   category: main
   optional: false
 - name: ucx
-  version: 1.14.1
+  version: 1.15.0
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libnuma: '>=2.0.16,<3.0a0'
     libstdcxx-ng: '>=12'
-    rdma-core: '>=28.9,<29.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/ucx-1.14.1-h64cca9d_5.conda
+    rdma-core: '>=49'
+  url: https://conda.anaconda.org/conda-forge/linux-64/ucx-1.15.0-h75e419f_2.conda
   hash:
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-    sha256: a62f3fb56849dc37270f9078e1c8ba32328bc3ba4d32cf1f7dace48b431d5abe
+    md5: 5798de4587dc70fa6db81663e79f176a
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   category: main
   optional: false
 - name: umap-learn
@@ -3936,19 +4306,6 @@ package:
     sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26
   category: main
   optional: false
-- name: zlib
-  version: 1.2.13
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
-  hash:
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 - name: zstandard
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   manager: conda