diff --git a/.github/workflows/pytest-unix-os.yaml b/.github/workflows/pytest-unix-os.yaml
index 3d6325a6d..a31c413ef 100644
--- a/.github/workflows/pytest-unix-os.yaml
+++ b/.github/workflows/pytest-unix-os.yaml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python_ver: ['3.9', '3.10']
+        python_ver: ['3.10']
         os: [ubuntu-latest]
     runs-on: ${{ matrix.os }}
     defaults:
diff --git a/.github/workflows/pytest-windows.yaml b/.github/workflows/pytest-windows.yaml
index 3ec92cde3..5e596ab19 100644
--- a/.github/workflows/pytest-windows.yaml
+++ b/.github/workflows/pytest-windows.yaml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python_ver: ['3.9', '3.10']
+        python_ver: ['3.10']
     defaults:
       run:
         shell: powershell
diff --git a/README-dev.rst b/README-dev.rst
index 5b161796a..4db3938d1 100644
--- a/README-dev.rst
+++ b/README-dev.rst
@@ -36,7 +36,7 @@ The python versions are specified at the beginning of the ``devtools\run-conda-l
 
 .. code-block:: python
 
-    _python_versions = ["3.10", "3.9"]
+    _python_versions = ["3.10"]
 
 The ``Install_or_Update.bat`` and the ``setup-dev.bat`` will use them to install the environment.
 
diff --git a/devtools/run_conda_lock.py b/devtools/run_conda_lock.py
index 6e8af03ad..ce71e4805 100644
--- a/devtools/run_conda_lock.py
+++ b/devtools/run_conda_lock.py
@@ -39,7 +39,7 @@
 
 _environments_folder = Path("environments")
 
-_python_versions = ["3.10", "3.9"]
+_python_versions = ["3.10"]
 
 
 @contextmanager
diff --git a/environments/env-python-3.9.yml b/environments/env-python-3.9.yml
deleted file mode 100644
index a429f799b..000000000
--- a/environments/env-python-3.9.yml
+++ /dev/null
@@ -1,3 +0,0 @@
-dependencies:
-  - python=3.9.*
-  - pip
diff --git a/environments/py-3.10-linux-64-dev.conda.lock.yml b/environments/py-3.10-linux-64-dev.conda.lock.yml
index 5e0a4dcdf..4640106b5 100644
--- a/environments/py-3.10-linux-64-dev.conda.lock.yml
+++ b/environments/py-3.10-linux-64-dev.conda.lock.yml
@@ -1,171 +1,169 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 53e71090838f77dd4ee911864b4df32d7ba0f8036b08773c1e53c0f6fb6757bc
+# input_hash: 9f1e6e1319eb5768ce6c4ebde2184f75580dd54ab9986812e3bbf9c9f54b8885
 
 channels:
   - conda-forge
 dependencies:
   - _libgcc_mutex=0.1=conda_forge
+  - ca-certificates=2024.2.2=hbcca054_0
+  - ld_impl_linux-64=2.40=h41732ed_0
+  - libstdcxx-ng=13.2.0=h7e041cc_5
+  - python_abi=3.10=4_cp310
+  - tzdata=2024a=h0c530f3_0
   - _openmp_mutex=4.5=2_kmp_llvm
+  - libgcc-ng=13.2.0=h807b86a_5
+  - bzip2=1.0.8=hd590300_5
+  - c-ares=1.27.0=hd590300_0
+  - icu=73.2=h59595ed_0
+  - keyutils=1.6.1=h166bdaf_0
+  - lerc=4.0.0=h27087fc_0
+  - libaec=1.1.2=h59595ed_1
+  - libbrotlicommon=1.1.0=hd590300_1
+  - libdeflate=1.19=hd590300_0
+  - libev=4.33=hd590300_2
+  - libffi=3.4.2=h7f98852_5
+  - libgfortran5=13.2.0=ha4646dd_5
+  - libiconv=1.17=hd590300_2
+  - libjpeg-turbo=3.0.0=hd590300_1
+  - libnsl=2.0.1=hd590300_0
+  - libuuid=2.38.1=h0b41bf4_0
+  - libwebp-base=1.3.2=hd590300_0
+  - libxcrypt=4.4.36=hd590300_1
+  - libzlib=1.2.13=hd590300_5
+  - ncurses=6.4=h59595ed_2
+  - openssl=3.2.1=hd590300_0
+  - pthread-stubs=0.4=h36c2ea0_1001
+  - xorg-libxau=1.0.11=hd590300_0
+  - xorg-libxdmcp=1.1.3=h7f98852_0
+  - xz=5.2.6=h166bdaf_0
+  - yaml=0.2.5=h7f98852_2
+  - libbrotlidec=1.1.0=hd590300_1
+  - libbrotlienc=1.1.0=hd590300_1
+  - libedit=3.1.20191231=he28a2e2_2
+  - libgfortran-ng=13.2.0=h69a702a_5
+  - libllvm14=14.0.6=hcd5def8_4
+  - libnghttp2=1.58.0=h47da74e_1
+  - libpng=1.6.43=h2797004_0
+  - libsqlite=3.45.1=h2797004_0
+  - libssh2=1.11.0=h0841786_0
+  - libxcb=1.15=h0b41bf4_0
+  - libxml2=2.12.5=h232c23b_0
+  - readline=8.2=h8228510_1
+  - tk=8.6.13=noxft_h4845f30_101
+  - zstd=1.5.5=hfc55251_0
+  - brotli-bin=1.1.0=hd590300_1
+  - freetype=2.12.1=h267a509_2
+  - krb5=1.21.2=h659d440_0
+  - libhwloc=2.9.3=default_h554bfaf_1009
+  - libopenblas=0.3.25=pthreads_h413a1c8_0
+  - libtiff=4.6.0=ha9c0a0a_2
+  - llvm-openmp=17.0.6=h4dfa4b3_0
+  - python=3.10.13=hd12c33a_1_cpython
   - asciitree=0.3.3=py_2
-  - astroid=3.0.2=py310hff52083_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=1.26.0=hd590300_0
-  - ca-certificates=2023.11.17=hbcca054_0
-  - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2023.11.17=pyhd8ed1ab_0
+  - certifi=2024.2.2=pyhd8ed1ab_0
   - charset-normalizer=3.3.2=pyhd8ed1ab_0
   - click=8.1.7=unix_pyh707e725_0
   - cloudpickle=3.0.0=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_0
-  - contourpy=1.2.0=py310hd41b1e2_0
-  - coverage=7.4.1=py310h2372a71_0
   - cycler=0.12.1=pyhd8ed1ab_0
-  - cytoolz=0.12.2=py310h2372a71_1
-  - dask-core=2022.10.2=pyhd8ed1ab_0
   - dill=0.3.8=pyhd8ed1ab_0
-  - discretize=0.10.0=py310hcb52e73_1
-  - distributed=2022.10.2=pyhd8ed1ab_0
-  - empymod=2.2.2=pyhd8ed1ab_0
   - exceptiongroup=1.2.0=pyhd8ed1ab_2
   - fasteners=0.17.3=pyhd8ed1ab_0
-  - fonttools=4.47.2=py310h2372a71_0
-  - freetype=2.12.1=h267a509_2
-  - fsspec=2023.12.2=pyhca7485f_0
-  - geoana=0.4.0=py310hbf28c38_1
-  - h5py=3.10.0=nompi_py310h65828d5_101
-  - hdf5=1.14.3=nompi_h4f84152_100
-  - icu=73.2=h59595ed_0
+  - fsspec=2024.2.0=pyhca7485f_0
   - idna=3.6=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_0
-  - isort=5.13.2=pyhd8ed1ab_0
-  - jinja2=3.1.3=pyhd8ed1ab_0
-  - keyutils=1.6.1=h166bdaf_0
   - kiwisolver=1.4.5=py310hd41b1e2_1
-  - krb5=1.21.2=h659d440_0
   - lcms2=2.16=hb7c19ff_0
-  - ld_impl_linux-64=2.40=h41732ed_0
-  - lerc=4.0.0=h27087fc_0
-  - libaec=1.1.2=h59595ed_1
   - libblas=3.9.0=20_linux64_openblas
-  - libbrotlicommon=1.1.0=hd590300_1
-  - libbrotlidec=1.1.0=hd590300_1
-  - libbrotlienc=1.1.0=hd590300_1
-  - libcblas=3.9.0=20_linux64_openblas
   - libcurl=8.5.0=hca28451_0
-  - libdeflate=1.19=hd590300_0
-  - libedit=3.1.20191231=he28a2e2_2
-  - libev=4.33=hd590300_2
-  - libffi=3.4.2=h7f98852_5
-  - libgcc-ng=13.2.0=h807b86a_4
-  - libgfortran-ng=13.2.0=h69a702a_4
-  - libgfortran5=13.2.0=ha4646dd_4
-  - 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
-  - libllvm14=14.0.6=hcd5def8_4
-  - libnghttp2=1.58.0=h47da74e_1
-  - libnsl=2.0.1=hd590300_0
-  - libopenblas=0.3.25=pthreads_h413a1c8_0
-  - libpng=1.6.42=h2797004_0
-  - libsqlite=3.44.2=h2797004_0
-  - libssh2=1.11.0=h0841786_0
-  - libstdcxx-ng=13.2.0=h7e041cc_4
-  - libtiff=4.6.0=ha9c0a0a_2
-  - libuuid=2.38.1=h0b41bf4_0
-  - libwebp-base=1.3.2=hd590300_0
-  - libxcb=1.15=h0b41bf4_0
-  - libxcrypt=4.4.36=hd590300_1
-  - libxml2=2.12.4=h232c23b_1
-  - libzlib=1.2.13=hd590300_5
-  - llvm-openmp=17.0.6=h4dfa4b3_0
-  - llvmlite=0.41.1=py310h1b8f574_0
+  - llvmlite=0.42.0=py310h1b8f574_1
   - locket=1.0.0=pyhd8ed1ab_0
-  - markupsafe=2.1.4=py310h2372a71_0
-  - matplotlib-base=3.8.2=py310h62c0568_0
+  - markupsafe=2.1.5=py310h2372a71_0
   - mccabe=0.7.0=pyhd8ed1ab_0
-  - mkl=2022.2.1=h84fe81f_16997
   - msgpack-python=1.0.7=py310hd41b1e2_0
   - munkres=1.1.4=pyh9f0ad1d_0
-  - ncurses=6.4=h59595ed_2
-  - numba=0.58.1=py310h7dc5dd1_0
-  - numcodecs=0.12.1=py310hc6cd4ac_0
-  - numpy=1.23.5=py310h53a5b5f_0
-  - openjpeg=2.5.0=h488ebb8_3
-  - openssl=3.2.1=hd590300_0
+  - openjpeg=2.5.2=h488ebb8_0
   - packaging=23.2=pyhd8ed1ab_0
-  - partd=1.4.1=pyhd8ed1ab_0
-  - pillow=10.2.0=py310h01dd4db_0
-  - pip=23.3.2=pyhd8ed1ab_0
   - platformdirs=4.2.0=pyhd8ed1ab_0
   - pluggy=1.4.0=pyhd8ed1ab_0
-  - pooch=1.8.0=pyhd8ed1ab_0
   - psutil=5.9.8=py310h2372a71_0
-  - pthread-stubs=0.4=h36c2ea0_1001
-  - pydiso=0.0.3=py310h1dd1467_4
   - pygments=2.17.2=pyhd8ed1ab_0
-  - pylint=3.0.3=pyhd8ed1ab_0
-  - pymatsolver=0.2.0=py310hff52083_2
   - pyparsing=3.1.1=pyhd8ed1ab_0
   - pysocks=1.7.1=pyha2e5f31_6
-  - pytest=8.0.0=pyhd8ed1ab_0
-  - pytest-cov=4.1.0=pyhd8ed1ab_0
-  - python=3.10.13=hd12c33a_1_cpython
-  - python-dateutil=2.8.2=pyhd8ed1ab_0
-  - python_abi=3.10=4_cp310
   - pyyaml=6.0.1=py310h2372a71_1
-  - readline=8.2=h8228510_1
-  - requests=2.31.0=pyhd8ed1ab_0
-  - scipy=1.10.1=py310ha4c1d20_3
-  - setuptools=69.0.3=pyhd8ed1ab_0
+  - setuptools=69.1.1=pyhd8ed1ab_0
   - six=1.16.0=pyh6c4a22f_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_0
   - tbb=2021.11.0=h00ab1b0_1
   - tblib=3.0.0=pyhd8ed1ab_0
-  - tk=8.6.13=noxft_h4845f30_101
   - toml=0.10.2=pyhd8ed1ab_0
   - tomli=2.0.1=pyhd8ed1ab_0
-  - tomlkit=0.12.3=pyha770c72_0
+  - tomlkit=0.12.4=pyha770c72_0
   - toolz=0.12.1=pyhd8ed1ab_0
   - tornado=6.1=py310h5764c6d_3
-  - tqdm=4.66.1=pyhd8ed1ab_0
-  - typing-extensions=4.9.0=hd8ed1ab_0
-  - typing_extensions=4.9.0=pyha770c72_0
-  - tzdata=2023d=h0c530f3_0
+  - typing_extensions=4.10.0=pyha770c72_0
   - unicodedata2=15.1.0=py310h2372a71_0
-  - urllib3=2.2.0=pyhd8ed1ab_0
   - utm=0.7.0=pyhd8ed1ab_0
   - wheel=0.42.0=pyhd8ed1ab_0
-  - xorg-libxau=1.0.11=hd590300_0
-  - xorg-libxdmcp=1.1.3=h7f98852_0
-  - xz=5.2.6=h166bdaf_0
-  - yaml=0.2.5=h7f98852_2
-  - zarr=2.14.2=pyhd8ed1ab_0
   - zict=3.0.0=pyhd8ed1ab_0
-  - zstd=1.5.5=hfc55251_0
+  - cached-property=1.5.2=hd8ed1ab_1
+  - coverage=7.4.3=py310h2372a71_1
+  - cytoolz=0.12.3=py310h2372a71_0
+  - fonttools=4.49.0=py310h2372a71_0
+  - hdf5=1.14.3=nompi_h4f84152_100
+  - isort=5.13.2=pyhd8ed1ab_0
+  - jinja2=3.1.3=pyhd8ed1ab_0
+  - libcblas=3.9.0=20_linux64_openblas
+  - liblapack=3.9.0=20_linux64_openblas
+  - mkl=2022.2.1=h84fe81f_16997
+  - partd=1.4.1=pyhd8ed1ab_0
+  - pillow=10.2.0=py310h01dd4db_0
+  - pip=24.0=pyhd8ed1ab_0
+  - pytest=8.0.2=pyhd8ed1ab_0
+  - python-dateutil=2.9.0=pyhd8ed1ab_0
+  - tqdm=4.66.2=pyhd8ed1ab_0
+  - typing-extensions=4.10.0=hd8ed1ab_0
+  - urllib3=2.2.1=pyhd8ed1ab_0
+  - annotated-types=0.6.0=pyhd8ed1ab_0
+  - astroid=3.1.0=py310hff52083_0
+  - dask-core=2022.10.2=pyhd8ed1ab_0
+  - numpy=1.23.5=py310h53a5b5f_0
+  - pydantic-core=2.14.6=py310hcb5633a_1
+  - pytest-cov=4.1.0=pyhd8ed1ab_0
+  - requests=2.31.0=pyhd8ed1ab_0
+  - contourpy=1.2.0=py310hd41b1e2_0
+  - distributed=2022.10.2=pyhd8ed1ab_0
+  - h5py=3.10.0=nompi_py310h65828d5_101
+  - numba=0.59.0=py310h7dc5dd1_1
+  - numcodecs=0.12.1=py310hc6cd4ac_0
+  - pooch=1.8.1=pyhd8ed1ab_0
+  - pydantic=2.5.3=pyhd8ed1ab_0
+  - pylint=3.1.0=pyhd8ed1ab_0
+  - matplotlib-base=3.8.3=py310h62c0568_0
+  - scipy=1.10.1=py310ha4c1d20_3
+  - zarr=2.14.2=pyhd8ed1ab_0
+  - discretize=0.10.0=py310hcb52e73_1
+  - empymod=2.2.2=pyhd8ed1ab_0
+  - pydiso=0.0.3=py310h1dd1467_4
+  - pymatsolver-base=0.2.0=pyh44b312d_3
+  - geoana=0.4.0=py310hbf28c38_1
+  - pymatsolver=0.2.0=ha770c72_3
   - pip:
-      - annotated-types === 0.6.0 --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43
-      - geoapps-utils === 0.3.0a1 --hash=sha256:91e4746d916dad8439c97a5f7a32236216f3037e7690f3095318f7d12b70f762
-      - geoh5py === 0.9.0a1 --hash=sha256:ddf340cc1b966ee8ac4f0bf6e0206e56e2de77f9cdbae20d07ce93fd4793bfa5
-      - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
-      - mira-simpeg === 0.19.0.dev6 --hash=sha256:7720abe7cc2dddedcc9bee847de1cf8e0d88419ce07495892bea170a443ad0f7
-      - octree-creation-app === 0.1.0a2 --hash=sha256:2d05aa7436833888cb1d68fda95eab89858ddb74987a7f350163a346d1ebebcf
-      - pandas === 2.2.0 --hash=sha256:20404d2adefe92aed3b38da41d0847a143a09be982a31b85bc7dd565bdba0f4e
-      - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
-      - properties === 0.6.1 --hash=sha256:b119ce4c53f4717fa29371c1bb929f422dda7ed90a4559b3583ea77389177263
-      - pydantic === 2.5.3 --hash=sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4
-      - pydantic-core === 2.14.6 --hash=sha256:036137b5ad0cb0004c75b579445a1efccd072387a36c7f217bb8efd1afbe5245
-      - pytz === 2023.4 --hash=sha256:f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
-      - scikit-learn === 1.4.0 --hash=sha256:e98632da8f6410e6fb6bf66937712c949b4010600ccd3f22a5388a83e610cc3c
-      - simpeg-archive === 0.11.0.dev6 --hash=sha256:ddb2487b640846a6859afb6f9f33ec5a04e4e0d5572c690d4c1a88579a47adcb
-      - threadpoolctl === 3.2.0 --hash=sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032
-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
+    - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
+    - pytz === 2024.1 --hash=sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319
+    - threadpoolctl === 3.3.0 --hash=sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e
+    - tzdata === 2024.1 --hash=sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252
+    - geoh5py === 0.9.0a2 --hash=sha256:70041ed40bda3caa4fc95b9cf842822ceb0b4337954233a76fcada04daf9fd0f
+    - pandas === 2.2.1 --hash=sha256:c38ce92cb22a4bea4e3929429aa1067a454dcc9c335799af93ba9be21b6beb51
+    - scikit-learn === 1.4.1.post1 --hash=sha256:c02e27d65b0c7dc32f2c5eb601aaf5530b7a02bfbe92438188624524878336f2
+    - geoapps-utils === 0.3.0a2 --hash=sha256:cf9d091d7f86c860f24369ddd2fbc6f6670369ca56dd35038c1093bd62ef957d
+    - mira-simpeg === 0.19.0.dev7 --hash=sha256:d3ec1138f09611404ae302510b8298ca72e35d70dc623bcd5f499333d8adce01
+    - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
+    - octree-creation-app === 0.1.0a3 --hash=sha256:834030116897072e1dfd9ac78c73326a766a6b8f455215dac061343af4453734
 
 variables:
   KMP_WARNINGS: 0
diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml
index 711c2b9a2..9d1c5c4e6 100644
--- a/environments/py-3.10-linux-64.conda.lock.yml
+++ b/environments/py-3.10-linux-64.conda.lock.yml
@@ -1,154 +1,154 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 53e71090838f77dd4ee911864b4df32d7ba0f8036b08773c1e53c0f6fb6757bc
+# input_hash: 9f1e6e1319eb5768ce6c4ebde2184f75580dd54ab9986812e3bbf9c9f54b8885
 
 channels:
   - conda-forge
 dependencies:
   - _libgcc_mutex=0.1=conda_forge
+  - ca-certificates=2024.2.2=hbcca054_0
+  - ld_impl_linux-64=2.40=h41732ed_0
+  - libstdcxx-ng=13.2.0=h7e041cc_5
+  - python_abi=3.10=4_cp310
+  - tzdata=2024a=h0c530f3_0
   - _openmp_mutex=4.5=2_kmp_llvm
-  - asciitree=0.3.3=py_2
-  - brotli=1.1.0=hd590300_1
-  - brotli-bin=1.1.0=hd590300_1
-  - brotli-python=1.1.0=py310hc6cd4ac_1
+  - libgcc-ng=13.2.0=h807b86a_5
   - bzip2=1.0.8=hd590300_5
-  - c-ares=1.26.0=hd590300_0
-  - ca-certificates=2023.11.17=hbcca054_0
-  - cached-property=1.5.2=hd8ed1ab_1
-  - cached_property=1.5.2=pyha770c72_1
-  - certifi=2023.11.17=pyhd8ed1ab_0
-  - charset-normalizer=3.3.2=pyhd8ed1ab_0
-  - click=8.1.7=unix_pyh707e725_0
-  - cloudpickle=3.0.0=pyhd8ed1ab_0
-  - colorama=0.4.6=pyhd8ed1ab_0
-  - contourpy=1.2.0=py310hd41b1e2_0
-  - cycler=0.12.1=pyhd8ed1ab_0
-  - cytoolz=0.12.2=py310h2372a71_1
-  - dask-core=2022.10.2=pyhd8ed1ab_0
-  - discretize=0.10.0=py310hcb52e73_1
-  - distributed=2022.10.2=pyhd8ed1ab_0
-  - empymod=2.2.2=pyhd8ed1ab_0
-  - fasteners=0.17.3=pyhd8ed1ab_0
-  - fonttools=4.47.2=py310h2372a71_0
-  - freetype=2.12.1=h267a509_2
-  - fsspec=2023.12.2=pyhca7485f_0
-  - geoana=0.4.0=py310hbf28c38_1
-  - h5py=3.10.0=nompi_py310h65828d5_101
-  - hdf5=1.14.3=nompi_h4f84152_100
+  - c-ares=1.27.0=hd590300_0
   - icu=73.2=h59595ed_0
-  - idna=3.6=pyhd8ed1ab_0
-  - jinja2=3.1.3=pyhd8ed1ab_0
   - keyutils=1.6.1=h166bdaf_0
-  - kiwisolver=1.4.5=py310hd41b1e2_1
-  - krb5=1.21.2=h659d440_0
-  - lcms2=2.16=hb7c19ff_0
-  - ld_impl_linux-64=2.40=h41732ed_0
   - lerc=4.0.0=h27087fc_0
   - libaec=1.1.2=h59595ed_1
-  - libblas=3.9.0=20_linux64_openblas
   - libbrotlicommon=1.1.0=hd590300_1
-  - libbrotlidec=1.1.0=hd590300_1
-  - libbrotlienc=1.1.0=hd590300_1
-  - libcblas=3.9.0=20_linux64_openblas
-  - libcurl=8.5.0=hca28451_0
   - libdeflate=1.19=hd590300_0
-  - libedit=3.1.20191231=he28a2e2_2
   - libev=4.33=hd590300_2
   - libffi=3.4.2=h7f98852_5
-  - libgcc-ng=13.2.0=h807b86a_4
-  - libgfortran-ng=13.2.0=h69a702a_4
-  - libgfortran5=13.2.0=ha4646dd_4
-  - libhwloc=2.9.3=default_h554bfaf_1009
+  - libgfortran5=13.2.0=ha4646dd_5
   - libiconv=1.17=hd590300_2
   - libjpeg-turbo=3.0.0=hd590300_1
-  - liblapack=3.9.0=20_linux64_openblas
-  - libllvm14=14.0.6=hcd5def8_4
-  - libnghttp2=1.58.0=h47da74e_1
   - libnsl=2.0.1=hd590300_0
-  - libopenblas=0.3.25=pthreads_h413a1c8_0
-  - libpng=1.6.42=h2797004_0
-  - libsqlite=3.44.2=h2797004_0
-  - libssh2=1.11.0=h0841786_0
-  - libstdcxx-ng=13.2.0=h7e041cc_4
-  - libtiff=4.6.0=ha9c0a0a_2
   - libuuid=2.38.1=h0b41bf4_0
   - libwebp-base=1.3.2=hd590300_0
-  - libxcb=1.15=h0b41bf4_0
   - libxcrypt=4.4.36=hd590300_1
-  - libxml2=2.12.4=h232c23b_1
   - libzlib=1.2.13=hd590300_5
+  - ncurses=6.4=h59595ed_2
+  - openssl=3.2.1=hd590300_0
+  - pthread-stubs=0.4=h36c2ea0_1001
+  - xorg-libxau=1.0.11=hd590300_0
+  - xorg-libxdmcp=1.1.3=h7f98852_0
+  - xz=5.2.6=h166bdaf_0
+  - yaml=0.2.5=h7f98852_2
+  - libbrotlidec=1.1.0=hd590300_1
+  - libbrotlienc=1.1.0=hd590300_1
+  - libedit=3.1.20191231=he28a2e2_2
+  - libgfortran-ng=13.2.0=h69a702a_5
+  - libllvm14=14.0.6=hcd5def8_4
+  - libnghttp2=1.58.0=h47da74e_1
+  - libpng=1.6.43=h2797004_0
+  - libsqlite=3.45.1=h2797004_0
+  - libssh2=1.11.0=h0841786_0
+  - libxcb=1.15=h0b41bf4_0
+  - libxml2=2.12.5=h232c23b_0
+  - readline=8.2=h8228510_1
+  - tk=8.6.13=noxft_h4845f30_101
+  - zstd=1.5.5=hfc55251_0
+  - brotli-bin=1.1.0=hd590300_1
+  - freetype=2.12.1=h267a509_2
+  - krb5=1.21.2=h659d440_0
+  - libhwloc=2.9.3=default_h554bfaf_1009
+  - libopenblas=0.3.25=pthreads_h413a1c8_0
+  - libtiff=4.6.0=ha9c0a0a_2
   - llvm-openmp=17.0.6=h4dfa4b3_0
-  - llvmlite=0.41.1=py310h1b8f574_0
+  - python=3.10.13=hd12c33a_1_cpython
+  - asciitree=0.3.3=py_2
+  - brotli=1.1.0=hd590300_1
+  - brotli-python=1.1.0=py310hc6cd4ac_1
+  - cached_property=1.5.2=pyha770c72_1
+  - certifi=2024.2.2=pyhd8ed1ab_0
+  - charset-normalizer=3.3.2=pyhd8ed1ab_0
+  - click=8.1.7=unix_pyh707e725_0
+  - cloudpickle=3.0.0=pyhd8ed1ab_0
+  - colorama=0.4.6=pyhd8ed1ab_0
+  - cycler=0.12.1=pyhd8ed1ab_0
+  - fasteners=0.17.3=pyhd8ed1ab_0
+  - fsspec=2024.2.0=pyhca7485f_0
+  - idna=3.6=pyhd8ed1ab_0
+  - kiwisolver=1.4.5=py310hd41b1e2_1
+  - lcms2=2.16=hb7c19ff_0
+  - libblas=3.9.0=20_linux64_openblas
+  - libcurl=8.5.0=hca28451_0
+  - llvmlite=0.42.0=py310h1b8f574_1
   - locket=1.0.0=pyhd8ed1ab_0
-  - markupsafe=2.1.4=py310h2372a71_0
-  - matplotlib-base=3.8.2=py310h62c0568_0
-  - mkl=2022.2.1=h84fe81f_16997
+  - markupsafe=2.1.5=py310h2372a71_0
   - msgpack-python=1.0.7=py310hd41b1e2_0
   - munkres=1.1.4=pyh9f0ad1d_0
-  - ncurses=6.4=h59595ed_2
-  - numba=0.58.1=py310h7dc5dd1_0
-  - numcodecs=0.12.1=py310hc6cd4ac_0
-  - numpy=1.23.5=py310h53a5b5f_0
-  - openjpeg=2.5.0=h488ebb8_3
-  - openssl=3.2.1=hd590300_0
+  - openjpeg=2.5.2=h488ebb8_0
   - packaging=23.2=pyhd8ed1ab_0
-  - partd=1.4.1=pyhd8ed1ab_0
-  - pillow=10.2.0=py310h01dd4db_0
-  - pip=23.3.2=pyhd8ed1ab_0
   - platformdirs=4.2.0=pyhd8ed1ab_0
-  - pooch=1.8.0=pyhd8ed1ab_0
   - psutil=5.9.8=py310h2372a71_0
-  - pthread-stubs=0.4=h36c2ea0_1001
-  - pydiso=0.0.3=py310h1dd1467_4
-  - pymatsolver=0.2.0=py310hff52083_2
   - pyparsing=3.1.1=pyhd8ed1ab_0
   - pysocks=1.7.1=pyha2e5f31_6
-  - python=3.10.13=hd12c33a_1_cpython
-  - python-dateutil=2.8.2=pyhd8ed1ab_0
-  - python_abi=3.10=4_cp310
   - pyyaml=6.0.1=py310h2372a71_1
-  - readline=8.2=h8228510_1
-  - requests=2.31.0=pyhd8ed1ab_0
-  - scipy=1.10.1=py310ha4c1d20_3
-  - setuptools=69.0.3=pyhd8ed1ab_0
+  - setuptools=69.1.1=pyhd8ed1ab_0
   - six=1.16.0=pyh6c4a22f_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_0
   - tbb=2021.11.0=h00ab1b0_1
   - tblib=3.0.0=pyhd8ed1ab_0
-  - tk=8.6.13=noxft_h4845f30_101
   - toolz=0.12.1=pyhd8ed1ab_0
   - tornado=6.1=py310h5764c6d_3
-  - tqdm=4.66.1=pyhd8ed1ab_0
-  - tzdata=2023d=h0c530f3_0
+  - typing_extensions=4.10.0=pyha770c72_0
   - unicodedata2=15.1.0=py310h2372a71_0
-  - urllib3=2.2.0=pyhd8ed1ab_0
   - utm=0.7.0=pyhd8ed1ab_0
   - wheel=0.42.0=pyhd8ed1ab_0
-  - xorg-libxau=1.0.11=hd590300_0
-  - xorg-libxdmcp=1.1.3=h7f98852_0
-  - xz=5.2.6=h166bdaf_0
-  - yaml=0.2.5=h7f98852_2
-  - zarr=2.14.2=pyhd8ed1ab_0
   - zict=3.0.0=pyhd8ed1ab_0
-  - zstd=1.5.5=hfc55251_0
+  - cached-property=1.5.2=hd8ed1ab_1
+  - cytoolz=0.12.3=py310h2372a71_0
+  - fonttools=4.49.0=py310h2372a71_0
+  - hdf5=1.14.3=nompi_h4f84152_100
+  - jinja2=3.1.3=pyhd8ed1ab_0
+  - libcblas=3.9.0=20_linux64_openblas
+  - liblapack=3.9.0=20_linux64_openblas
+  - mkl=2022.2.1=h84fe81f_16997
+  - partd=1.4.1=pyhd8ed1ab_0
+  - pillow=10.2.0=py310h01dd4db_0
+  - pip=24.0=pyhd8ed1ab_0
+  - python-dateutil=2.9.0=pyhd8ed1ab_0
+  - tqdm=4.66.2=pyhd8ed1ab_0
+  - typing-extensions=4.10.0=hd8ed1ab_0
+  - urllib3=2.2.1=pyhd8ed1ab_0
+  - annotated-types=0.6.0=pyhd8ed1ab_0
+  - dask-core=2022.10.2=pyhd8ed1ab_0
+  - numpy=1.23.5=py310h53a5b5f_0
+  - pydantic-core=2.14.6=py310hcb5633a_1
+  - requests=2.31.0=pyhd8ed1ab_0
+  - contourpy=1.2.0=py310hd41b1e2_0
+  - distributed=2022.10.2=pyhd8ed1ab_0
+  - h5py=3.10.0=nompi_py310h65828d5_101
+  - numba=0.59.0=py310h7dc5dd1_1
+  - numcodecs=0.12.1=py310hc6cd4ac_0
+  - pooch=1.8.1=pyhd8ed1ab_0
+  - pydantic=2.5.3=pyhd8ed1ab_0
+  - matplotlib-base=3.8.3=py310h62c0568_0
+  - scipy=1.10.1=py310ha4c1d20_3
+  - zarr=2.14.2=pyhd8ed1ab_0
+  - discretize=0.10.0=py310hcb52e73_1
+  - empymod=2.2.2=pyhd8ed1ab_0
+  - pydiso=0.0.3=py310h1dd1467_4
+  - pymatsolver-base=0.2.0=pyh44b312d_3
+  - geoana=0.4.0=py310hbf28c38_1
+  - pymatsolver=0.2.0=ha770c72_3
   - pip:
-      - annotated-types === 0.6.0 --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43
-      - geoapps-utils === 0.3.0a1 --hash=sha256:91e4746d916dad8439c97a5f7a32236216f3037e7690f3095318f7d12b70f762
-      - geoh5py === 0.9.0a1 --hash=sha256:ddf340cc1b966ee8ac4f0bf6e0206e56e2de77f9cdbae20d07ce93fd4793bfa5
-      - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
-      - mira-simpeg === 0.19.0.dev6 --hash=sha256:7720abe7cc2dddedcc9bee847de1cf8e0d88419ce07495892bea170a443ad0f7
-      - octree-creation-app === 0.1.0a2 --hash=sha256:2d05aa7436833888cb1d68fda95eab89858ddb74987a7f350163a346d1ebebcf
-      - pandas === 2.2.0 --hash=sha256:20404d2adefe92aed3b38da41d0847a143a09be982a31b85bc7dd565bdba0f4e
-      - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
-      - properties === 0.6.1 --hash=sha256:b119ce4c53f4717fa29371c1bb929f422dda7ed90a4559b3583ea77389177263
-      - pydantic === 2.5.3 --hash=sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4
-      - pydantic-core === 2.14.6 --hash=sha256:036137b5ad0cb0004c75b579445a1efccd072387a36c7f217bb8efd1afbe5245
-      - pytz === 2023.4 --hash=sha256:f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
-      - scikit-learn === 1.4.0 --hash=sha256:e98632da8f6410e6fb6bf66937712c949b4010600ccd3f22a5388a83e610cc3c
-      - simpeg-archive === 0.11.0.dev6 --hash=sha256:ddb2487b640846a6859afb6f9f33ec5a04e4e0d5572c690d4c1a88579a47adcb
-      - threadpoolctl === 3.2.0 --hash=sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032
-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
+    - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
+    - pytz === 2024.1 --hash=sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319
+    - threadpoolctl === 3.3.0 --hash=sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e
+    - tzdata === 2024.1 --hash=sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252
+    - geoh5py === 0.9.0a2 --hash=sha256:70041ed40bda3caa4fc95b9cf842822ceb0b4337954233a76fcada04daf9fd0f
+    - pandas === 2.2.1 --hash=sha256:c38ce92cb22a4bea4e3929429aa1067a454dcc9c335799af93ba9be21b6beb51
+    - scikit-learn === 1.4.1.post1 --hash=sha256:c02e27d65b0c7dc32f2c5eb601aaf5530b7a02bfbe92438188624524878336f2
+    - geoapps-utils === 0.3.0a2 --hash=sha256:cf9d091d7f86c860f24369ddd2fbc6f6670369ca56dd35038c1093bd62ef957d
+    - mira-simpeg === 0.19.0.dev7 --hash=sha256:d3ec1138f09611404ae302510b8298ca72e35d70dc623bcd5f499333d8adce01
+    - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
+    - octree-creation-app === 0.1.0a3 --hash=sha256:834030116897072e1dfd9ac78c73326a766a6b8f455215dac061343af4453734
 
 variables:
   KMP_WARNINGS: 0
diff --git a/environments/py-3.10-win-64-dev.conda.lock.yml b/environments/py-3.10-win-64-dev.conda.lock.yml
index db8af4140..19dafb85e 100644
--- a/environments/py-3.10-win-64-dev.conda.lock.yml
+++ b/environments/py-3.10-win-64-dev.conda.lock.yml
@@ -1,164 +1,162 @@
 # Generated by conda-lock.
 # platform: win-64
-# input_hash: ba8441ac3c2a520e4b2538f14d8c9a4df2d52babad17e72d191243ae440c9988
+# input_hash: 71b6f64ed0ad53b3872aa121b3d9c61381fb9163481d975a8dccc78a12f0c74a
 
 channels:
   - conda-forge
 dependencies:
-  - asciitree=0.3.3=py_2
-  - astroid=3.0.2=py310h5588dad_0
+  - ca-certificates=2024.2.2=h56e8100_0
+  - intel-openmp=2024.0.0=h57928b3_49841
+  - msys2-conda-epoch=20160418=1
+  - python_abi=3.10=4_cp310
+  - tzdata=2024a=h0c530f3_0
+  - ucrt=10.0.22621.0=h57928b3_0
+  - m2w64-gmp=6.1.0=2
+  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
+  - vc14_runtime=14.38.33130=h82b7239_18
+  - m2w64-gcc-libs-core=5.3.0=7
+  - vc=14.3=hcf57466_18
+  - vs2015_runtime=14.38.33130=hcb4865c_18
   - blis=0.9.0=hcfcfb64_1
-  - brotli=1.1.0=hcfcfb64_1
+  - bzip2=1.0.8=hcfcfb64_5
+  - lerc=4.0.0=h63175ca_0
+  - libaec=1.1.2=h63175ca_1
+  - libbrotlicommon=1.1.0=hcfcfb64_1
+  - libdeflate=1.19=hcfcfb64_0
+  - libffi=3.4.2=h8ffe710_5
+  - libiconv=1.17=hcfcfb64_2
+  - libjpeg-turbo=3.0.0=hcfcfb64_1
+  - libsqlite=3.45.1=hcfcfb64_0
+  - libwebp-base=1.3.2=hcfcfb64_0
+  - libzlib=1.2.13=hcfcfb64_5
+  - m2w64-gcc-libgfortran=5.3.0=6
+  - openssl=3.2.1=hcfcfb64_0
+  - pthreads-win32=2.9.1=hfa6e2cd_3
+  - tk=8.6.13=h5226925_1
+  - xz=5.2.6=h8d14728_0
+  - yaml=0.2.5=h8ffe710_2
+  - krb5=1.21.2=heb0366b_0
+  - libblas=3.9.0=21_win64_blis
+  - libbrotlidec=1.1.0=hcfcfb64_1
+  - libbrotlienc=1.1.0=hcfcfb64_1
+  - libpng=1.6.43=h19919ed_0
+  - libssh2=1.11.0=h7dfc565_0
+  - libxml2=2.12.5=hc3477c8_0
+  - m2w64-gcc-libs=5.3.0=7
+  - python=3.10.13=h4de0772_1_cpython
+  - zstd=1.5.5=h12be248_0
+  - asciitree=0.3.3=py_2
   - brotli-bin=1.1.0=hcfcfb64_1
   - brotli-python=1.1.0=py310h00ffb61_1
-  - bzip2=1.0.8=hcfcfb64_5
-  - ca-certificates=2023.11.17=h56e8100_0
-  - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2023.11.17=pyhd8ed1ab_0
+  - certifi=2024.2.2=pyhd8ed1ab_0
   - charset-normalizer=3.3.2=pyhd8ed1ab_0
-  - click=8.1.7=win_pyh7428d3b_0
   - cloudpickle=3.0.0=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_0
-  - contourpy=1.2.0=py310h232114e_0
-  - coverage=7.4.1=py310h8d17308_0
   - cycler=0.12.1=pyhd8ed1ab_0
-  - cytoolz=0.12.2=py310h8d17308_1
-  - dask-core=2022.10.2=pyhd8ed1ab_0
   - dill=0.3.8=pyhd8ed1ab_0
-  - discretize=0.10.0=py310h4856b71_1
-  - distributed=2022.10.2=pyhd8ed1ab_0
-  - empymod=2.2.2=pyhd8ed1ab_0
   - exceptiongroup=1.2.0=pyhd8ed1ab_2
   - fasteners=0.17.3=pyhd8ed1ab_0
-  - fonttools=4.47.2=py310h8d17308_0
   - freetype=2.12.1=hdaf720e_2
-  - fsspec=2023.12.2=pyhca7485f_0
-  - geoana=0.4.0=py310h232114e_1
-  - h5py=3.10.0=nompi_py310hde4a0ea_101
-  - hdf5=1.14.3=nompi_h73e8ff5_100
+  - fsspec=2024.2.0=pyhca7485f_0
   - idna=3.6=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_0
-  - intel-openmp=2024.0.0=h57928b3_49841
-  - isort=5.13.2=pyhd8ed1ab_0
-  - jinja2=3.1.3=pyhd8ed1ab_0
   - kiwisolver=1.4.5=py310h232114e_1
-  - krb5=1.21.2=heb0366b_0
-  - lcms2=2.16=h67d730c_0
-  - lerc=4.0.0=h63175ca_0
-  - libaec=1.1.2=h63175ca_1
-  - libblas=3.9.0=21_win64_blis
-  - libbrotlicommon=1.1.0=hcfcfb64_1
-  - libbrotlidec=1.1.0=hcfcfb64_1
-  - libbrotlienc=1.1.0=hcfcfb64_1
   - libcblas=3.9.0=21_win64_blis
   - libcurl=8.5.0=hd5e4a3a_0
-  - libdeflate=1.19=hcfcfb64_0
-  - libffi=3.4.2=h8ffe710_5
   - libhwloc=2.9.3=default_haede6df_1009
-  - libiconv=1.17=hcfcfb64_2
-  - libjpeg-turbo=3.0.0=hcfcfb64_1
   - liblapack=3.9.0=5_hd5c7e75_netlib
-  - libpng=1.6.42=h19919ed_0
-  - libsqlite=3.44.2=hcfcfb64_0
-  - libssh2=1.11.0=h7dfc565_0
   - libtiff=4.6.0=h6e2ebb7_2
-  - libwebp-base=1.3.2=hcfcfb64_0
-  - libxcb=1.15=hcd874cb_0
-  - libxml2=2.12.4=hc3477c8_1
-  - libzlib=1.2.13=hcfcfb64_5
-  - llvmlite=0.41.1=py310hb84602e_0
+  - llvmlite=0.42.0=py310hb84602e_1
   - locket=1.0.0=pyhd8ed1ab_0
-  - m2w64-gcc-libgfortran=5.3.0=6
-  - m2w64-gcc-libs=5.3.0=7
-  - m2w64-gcc-libs-core=5.3.0=7
-  - m2w64-gmp=6.1.0=2
-  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
-  - markupsafe=2.1.4=py310h8d17308_0
-  - matplotlib-base=3.8.2=py310hc9baf74_0
+  - markupsafe=2.1.5=py310h8d17308_0
   - mccabe=0.7.0=pyhd8ed1ab_0
-  - mkl=2022.2.1=h6a75c08_19751
   - msgpack-python=1.0.7=py310h232114e_0
-  - msys2-conda-epoch=20160418=1
   - munkres=1.1.4=pyh9f0ad1d_0
-  - numba=0.58.1=py310h9ccaf4f_0
-  - numcodecs=0.12.1=py310h00ffb61_0
-  - numpy=1.23.5=py310h4a8f9c9_0
-  - openjpeg=2.5.0=h3d672ee_3
-  - openssl=3.2.1=hcfcfb64_0
   - packaging=23.2=pyhd8ed1ab_0
-  - partd=1.4.1=pyhd8ed1ab_0
-  - pillow=10.2.0=py310h1e6a543_0
-  - pip=23.3.2=pyhd8ed1ab_0
   - platformdirs=4.2.0=pyhd8ed1ab_0
   - pluggy=1.4.0=pyhd8ed1ab_0
-  - pooch=1.8.0=pyhd8ed1ab_0
   - psutil=5.9.8=py310h8d17308_0
   - pthread-stubs=0.4=hcd874cb_1001
-  - pthreads-win32=2.9.1=hfa6e2cd_3
-  - pydiso=0.0.3=py310h847dae0_4
   - pygments=2.17.2=pyhd8ed1ab_0
-  - pylint=3.0.3=pyhd8ed1ab_0
-  - pymatsolver=0.2.0=py310h5588dad_2
   - pyparsing=3.1.1=pyhd8ed1ab_0
-  - pysocks=1.7.1=pyh0701188_6
-  - pytest=8.0.0=pyhd8ed1ab_0
-  - pytest-cov=4.1.0=pyhd8ed1ab_0
-  - python=3.10.13=h4de0772_1_cpython
-  - python-dateutil=2.8.2=pyhd8ed1ab_0
-  - python_abi=3.10=4_cp310
   - pyyaml=6.0.1=py310h8d17308_1
-  - requests=2.31.0=pyhd8ed1ab_0
-  - scipy=1.10.1=py310h578b7cb_3
-  - setuptools=69.0.3=pyhd8ed1ab_0
+  - setuptools=69.1.1=pyhd8ed1ab_0
   - six=1.16.0=pyh6c4a22f_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_0
-  - tbb=2021.11.0=h91493d7_1
   - tblib=3.0.0=pyhd8ed1ab_0
-  - tk=8.6.13=h5226925_1
   - toml=0.10.2=pyhd8ed1ab_0
   - tomli=2.0.1=pyhd8ed1ab_0
-  - tomlkit=0.12.3=pyha770c72_0
+  - tomlkit=0.12.4=pyha770c72_0
   - toolz=0.12.1=pyhd8ed1ab_0
   - tornado=6.1=py310he2412df_3
-  - tqdm=4.66.1=pyhd8ed1ab_0
-  - typing-extensions=4.9.0=hd8ed1ab_0
-  - typing_extensions=4.9.0=pyha770c72_0
-  - tzdata=2023d=h0c530f3_0
-  - ucrt=10.0.22621.0=h57928b3_0
+  - typing_extensions=4.10.0=pyha770c72_0
   - unicodedata2=15.1.0=py310h8d17308_0
-  - urllib3=2.2.0=pyhd8ed1ab_0
   - utm=0.7.0=pyhd8ed1ab_0
-  - vc=14.3=hcf57466_18
-  - vc14_runtime=14.38.33130=h82b7239_18
-  - vs2015_runtime=14.38.33130=hcb4865c_18
   - wheel=0.42.0=pyhd8ed1ab_0
   - win_inet_pton=1.1.0=pyhd8ed1ab_6
   - xorg-libxau=1.0.11=hcd874cb_0
   - xorg-libxdmcp=1.1.3=hcd874cb_0
-  - xz=5.2.6=h8d14728_0
-  - yaml=0.2.5=h8ffe710_2
-  - zarr=2.14.2=pyhd8ed1ab_0
   - zict=3.0.0=pyhd8ed1ab_0
-  - zstd=1.5.5=h12be248_0
+  - brotli=1.1.0=hcfcfb64_1
+  - cached-property=1.5.2=hd8ed1ab_1
+  - click=8.1.7=win_pyh7428d3b_0
+  - coverage=7.4.3=py310h8d17308_1
+  - cytoolz=0.12.3=py310h8d17308_0
+  - hdf5=1.14.3=nompi_h73e8ff5_100
+  - isort=5.13.2=pyhd8ed1ab_0
+  - jinja2=3.1.3=pyhd8ed1ab_0
+  - lcms2=2.16=h67d730c_0
+  - libxcb=1.15=hcd874cb_0
+  - numpy=1.23.5=py310h4a8f9c9_0
+  - openjpeg=2.5.2=h3d672ee_0
+  - partd=1.4.1=pyhd8ed1ab_0
+  - pip=24.0=pyhd8ed1ab_0
+  - pysocks=1.7.1=pyh0701188_6
+  - pytest=8.0.2=pyhd8ed1ab_0
+  - python-dateutil=2.9.0=pyhd8ed1ab_0
+  - tbb=2021.11.0=h91493d7_1
+  - tqdm=4.66.2=pyhd8ed1ab_0
+  - typing-extensions=4.10.0=hd8ed1ab_0
+  - annotated-types=0.6.0=pyhd8ed1ab_0
+  - astroid=3.1.0=py310h5588dad_0
+  - contourpy=1.2.0=py310h232114e_0
+  - dask-core=2022.10.2=pyhd8ed1ab_0
+  - fonttools=4.49.0=py310h8d17308_0
+  - h5py=3.10.0=nompi_py310hde4a0ea_101
+  - mkl=2022.2.1=h6a75c08_19751
+  - numba=0.59.0=py310h9ccaf4f_1
+  - numcodecs=0.12.1=py310h00ffb61_0
+  - pillow=10.2.0=py310h1e6a543_0
+  - pydantic-core=2.14.6=py310h87d50f1_1
+  - pytest-cov=4.1.0=pyhd8ed1ab_0
+  - urllib3=2.2.1=pyhd8ed1ab_0
+  - distributed=2022.10.2=pyhd8ed1ab_0
+  - matplotlib-base=3.8.3=py310hc9baf74_0
+  - pydantic=2.5.3=pyhd8ed1ab_0
+  - pylint=3.1.0=pyhd8ed1ab_0
+  - requests=2.31.0=pyhd8ed1ab_0
+  - zarr=2.14.2=pyhd8ed1ab_0
+  - pooch=1.8.1=pyhd8ed1ab_0
+  - scipy=1.10.1=py310h578b7cb_3
+  - discretize=0.10.0=py310h4856b71_1
+  - empymod=2.2.2=pyhd8ed1ab_0
+  - pydiso=0.0.3=py310h847dae0_4
+  - pymatsolver-base=0.2.0=pyh44b312d_3
+  - geoana=0.4.0=py310h232114e_1
+  - pymatsolver=0.2.0=ha770c72_3
   - pip:
-      - annotated-types === 0.6.0 --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43
-      - geoapps-utils === 0.3.0a1 --hash=sha256:91e4746d916dad8439c97a5f7a32236216f3037e7690f3095318f7d12b70f762
-      - geoh5py === 0.9.0a1 --hash=sha256:ddf340cc1b966ee8ac4f0bf6e0206e56e2de77f9cdbae20d07ce93fd4793bfa5
-      - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
-      - mira-simpeg === 0.19.0.dev6 --hash=sha256:7720abe7cc2dddedcc9bee847de1cf8e0d88419ce07495892bea170a443ad0f7
-      - octree-creation-app === 0.1.0a2 --hash=sha256:2d05aa7436833888cb1d68fda95eab89858ddb74987a7f350163a346d1ebebcf
-      - pandas === 2.2.0 --hash=sha256:5a946f210383c7e6d16312d30b238fd508d80d927014f3b33fb5b15c2f895430
-      - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
-      - properties === 0.6.1 --hash=sha256:b119ce4c53f4717fa29371c1bb929f422dda7ed90a4559b3583ea77389177263
-      - pydantic === 2.5.3 --hash=sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4
-      - pydantic-core === 2.14.6 --hash=sha256:36fa402dcdc8ea7f1b0ddcf0df4254cc6b2e08f8cd80e7010d4c4ae6e86b2a87
-      - pytz === 2023.4 --hash=sha256:f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
-      - scikit-learn === 1.4.0 --hash=sha256:11b3b140f70fbc9f6a08884631ae8dd60a4bb2d7d6d1de92738ea42b740d8992
-      - simpeg-archive === 0.11.0.dev6 --hash=sha256:ddb2487b640846a6859afb6f9f33ec5a04e4e0d5572c690d4c1a88579a47adcb
-      - threadpoolctl === 3.2.0 --hash=sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032
-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
+    - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
+    - pytz === 2024.1 --hash=sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319
+    - threadpoolctl === 3.3.0 --hash=sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e
+    - tzdata === 2024.1 --hash=sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252
+    - geoh5py === 0.9.0a2 --hash=sha256:70041ed40bda3caa4fc95b9cf842822ceb0b4337954233a76fcada04daf9fd0f
+    - pandas === 2.2.1 --hash=sha256:94e714a1cca63e4f5939cdce5f29ba8d415d85166be3441165edd427dc9f6bc0
+    - scikit-learn === 1.4.1.post1 --hash=sha256:629e09f772ad42f657ca60a1a52342eef786218dd20cf1369a3b8d085e55ef8f
+    - geoapps-utils === 0.3.0a2 --hash=sha256:cf9d091d7f86c860f24369ddd2fbc6f6670369ca56dd35038c1093bd62ef957d
+    - mira-simpeg === 0.19.0.dev7 --hash=sha256:d3ec1138f09611404ae302510b8298ca72e35d70dc623bcd5f499333d8adce01
+    - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
+    - octree-creation-app === 0.1.0a3 --hash=sha256:834030116897072e1dfd9ac78c73326a766a6b8f455215dac061343af4453734
 
 variables:
   KMP_WARNINGS: 0
diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml
index 5561e46db..5b746fca7 100644
--- a/environments/py-3.10-win-64.conda.lock.yml
+++ b/environments/py-3.10-win-64.conda.lock.yml
@@ -1,147 +1,147 @@
 # Generated by conda-lock.
 # platform: win-64
-# input_hash: ba8441ac3c2a520e4b2538f14d8c9a4df2d52babad17e72d191243ae440c9988
+# input_hash: 71b6f64ed0ad53b3872aa121b3d9c61381fb9163481d975a8dccc78a12f0c74a
 
 channels:
   - conda-forge
 dependencies:
-  - asciitree=0.3.3=py_2
+  - ca-certificates=2024.2.2=h56e8100_0
+  - intel-openmp=2024.0.0=h57928b3_49841
+  - msys2-conda-epoch=20160418=1
+  - python_abi=3.10=4_cp310
+  - tzdata=2024a=h0c530f3_0
+  - ucrt=10.0.22621.0=h57928b3_0
+  - m2w64-gmp=6.1.0=2
+  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
+  - vc14_runtime=14.38.33130=h82b7239_18
+  - m2w64-gcc-libs-core=5.3.0=7
+  - vc=14.3=hcf57466_18
+  - vs2015_runtime=14.38.33130=hcb4865c_18
   - blis=0.9.0=hcfcfb64_1
-  - brotli=1.1.0=hcfcfb64_1
+  - bzip2=1.0.8=hcfcfb64_5
+  - lerc=4.0.0=h63175ca_0
+  - libaec=1.1.2=h63175ca_1
+  - libbrotlicommon=1.1.0=hcfcfb64_1
+  - libdeflate=1.19=hcfcfb64_0
+  - libffi=3.4.2=h8ffe710_5
+  - libiconv=1.17=hcfcfb64_2
+  - libjpeg-turbo=3.0.0=hcfcfb64_1
+  - libsqlite=3.45.1=hcfcfb64_0
+  - libwebp-base=1.3.2=hcfcfb64_0
+  - libzlib=1.2.13=hcfcfb64_5
+  - m2w64-gcc-libgfortran=5.3.0=6
+  - openssl=3.2.1=hcfcfb64_0
+  - pthreads-win32=2.9.1=hfa6e2cd_3
+  - tk=8.6.13=h5226925_1
+  - xz=5.2.6=h8d14728_0
+  - yaml=0.2.5=h8ffe710_2
+  - krb5=1.21.2=heb0366b_0
+  - libblas=3.9.0=21_win64_blis
+  - libbrotlidec=1.1.0=hcfcfb64_1
+  - libbrotlienc=1.1.0=hcfcfb64_1
+  - libpng=1.6.43=h19919ed_0
+  - libssh2=1.11.0=h7dfc565_0
+  - libxml2=2.12.5=hc3477c8_0
+  - m2w64-gcc-libs=5.3.0=7
+  - python=3.10.13=h4de0772_1_cpython
+  - zstd=1.5.5=h12be248_0
+  - asciitree=0.3.3=py_2
   - brotli-bin=1.1.0=hcfcfb64_1
   - brotli-python=1.1.0=py310h00ffb61_1
-  - bzip2=1.0.8=hcfcfb64_5
-  - ca-certificates=2023.11.17=h56e8100_0
-  - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2023.11.17=pyhd8ed1ab_0
+  - certifi=2024.2.2=pyhd8ed1ab_0
   - charset-normalizer=3.3.2=pyhd8ed1ab_0
-  - click=8.1.7=win_pyh7428d3b_0
   - cloudpickle=3.0.0=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_0
-  - contourpy=1.2.0=py310h232114e_0
   - cycler=0.12.1=pyhd8ed1ab_0
-  - cytoolz=0.12.2=py310h8d17308_1
-  - dask-core=2022.10.2=pyhd8ed1ab_0
-  - discretize=0.10.0=py310h4856b71_1
-  - distributed=2022.10.2=pyhd8ed1ab_0
-  - empymod=2.2.2=pyhd8ed1ab_0
   - fasteners=0.17.3=pyhd8ed1ab_0
-  - fonttools=4.47.2=py310h8d17308_0
   - freetype=2.12.1=hdaf720e_2
-  - fsspec=2023.12.2=pyhca7485f_0
-  - geoana=0.4.0=py310h232114e_1
-  - h5py=3.10.0=nompi_py310hde4a0ea_101
-  - hdf5=1.14.3=nompi_h73e8ff5_100
+  - fsspec=2024.2.0=pyhca7485f_0
   - idna=3.6=pyhd8ed1ab_0
-  - intel-openmp=2024.0.0=h57928b3_49841
-  - jinja2=3.1.3=pyhd8ed1ab_0
   - kiwisolver=1.4.5=py310h232114e_1
-  - krb5=1.21.2=heb0366b_0
-  - lcms2=2.16=h67d730c_0
-  - lerc=4.0.0=h63175ca_0
-  - libaec=1.1.2=h63175ca_1
-  - libblas=3.9.0=21_win64_blis
-  - libbrotlicommon=1.1.0=hcfcfb64_1
-  - libbrotlidec=1.1.0=hcfcfb64_1
-  - libbrotlienc=1.1.0=hcfcfb64_1
   - libcblas=3.9.0=21_win64_blis
   - libcurl=8.5.0=hd5e4a3a_0
-  - libdeflate=1.19=hcfcfb64_0
-  - libffi=3.4.2=h8ffe710_5
   - libhwloc=2.9.3=default_haede6df_1009
-  - libiconv=1.17=hcfcfb64_2
-  - libjpeg-turbo=3.0.0=hcfcfb64_1
   - liblapack=3.9.0=5_hd5c7e75_netlib
-  - libpng=1.6.42=h19919ed_0
-  - libsqlite=3.44.2=hcfcfb64_0
-  - libssh2=1.11.0=h7dfc565_0
   - libtiff=4.6.0=h6e2ebb7_2
-  - libwebp-base=1.3.2=hcfcfb64_0
-  - libxcb=1.15=hcd874cb_0
-  - libxml2=2.12.4=hc3477c8_1
-  - libzlib=1.2.13=hcfcfb64_5
-  - llvmlite=0.41.1=py310hb84602e_0
+  - llvmlite=0.42.0=py310hb84602e_1
   - locket=1.0.0=pyhd8ed1ab_0
-  - m2w64-gcc-libgfortran=5.3.0=6
-  - m2w64-gcc-libs=5.3.0=7
-  - m2w64-gcc-libs-core=5.3.0=7
-  - m2w64-gmp=6.1.0=2
-  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
-  - markupsafe=2.1.4=py310h8d17308_0
-  - matplotlib-base=3.8.2=py310hc9baf74_0
-  - mkl=2022.2.1=h6a75c08_19751
+  - markupsafe=2.1.5=py310h8d17308_0
   - msgpack-python=1.0.7=py310h232114e_0
-  - msys2-conda-epoch=20160418=1
   - munkres=1.1.4=pyh9f0ad1d_0
-  - numba=0.58.1=py310h9ccaf4f_0
-  - numcodecs=0.12.1=py310h00ffb61_0
-  - numpy=1.23.5=py310h4a8f9c9_0
-  - openjpeg=2.5.0=h3d672ee_3
-  - openssl=3.2.1=hcfcfb64_0
   - packaging=23.2=pyhd8ed1ab_0
-  - partd=1.4.1=pyhd8ed1ab_0
-  - pillow=10.2.0=py310h1e6a543_0
-  - pip=23.3.2=pyhd8ed1ab_0
   - platformdirs=4.2.0=pyhd8ed1ab_0
-  - pooch=1.8.0=pyhd8ed1ab_0
   - psutil=5.9.8=py310h8d17308_0
   - pthread-stubs=0.4=hcd874cb_1001
-  - pthreads-win32=2.9.1=hfa6e2cd_3
-  - pydiso=0.0.3=py310h847dae0_4
-  - pymatsolver=0.2.0=py310h5588dad_2
   - pyparsing=3.1.1=pyhd8ed1ab_0
-  - pysocks=1.7.1=pyh0701188_6
-  - python=3.10.13=h4de0772_1_cpython
-  - python-dateutil=2.8.2=pyhd8ed1ab_0
-  - python_abi=3.10=4_cp310
   - pyyaml=6.0.1=py310h8d17308_1
-  - requests=2.31.0=pyhd8ed1ab_0
-  - scipy=1.10.1=py310h578b7cb_3
-  - setuptools=69.0.3=pyhd8ed1ab_0
+  - setuptools=69.1.1=pyhd8ed1ab_0
   - six=1.16.0=pyh6c4a22f_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_0
-  - tbb=2021.11.0=h91493d7_1
   - tblib=3.0.0=pyhd8ed1ab_0
-  - tk=8.6.13=h5226925_1
   - toolz=0.12.1=pyhd8ed1ab_0
   - tornado=6.1=py310he2412df_3
-  - tqdm=4.66.1=pyhd8ed1ab_0
-  - tzdata=2023d=h0c530f3_0
-  - ucrt=10.0.22621.0=h57928b3_0
+  - typing_extensions=4.10.0=pyha770c72_0
   - unicodedata2=15.1.0=py310h8d17308_0
-  - urllib3=2.2.0=pyhd8ed1ab_0
   - utm=0.7.0=pyhd8ed1ab_0
-  - vc=14.3=hcf57466_18
-  - vc14_runtime=14.38.33130=h82b7239_18
-  - vs2015_runtime=14.38.33130=hcb4865c_18
   - wheel=0.42.0=pyhd8ed1ab_0
   - win_inet_pton=1.1.0=pyhd8ed1ab_6
   - xorg-libxau=1.0.11=hcd874cb_0
   - xorg-libxdmcp=1.1.3=hcd874cb_0
-  - xz=5.2.6=h8d14728_0
-  - yaml=0.2.5=h8ffe710_2
-  - zarr=2.14.2=pyhd8ed1ab_0
   - zict=3.0.0=pyhd8ed1ab_0
-  - zstd=1.5.5=h12be248_0
+  - brotli=1.1.0=hcfcfb64_1
+  - cached-property=1.5.2=hd8ed1ab_1
+  - click=8.1.7=win_pyh7428d3b_0
+  - cytoolz=0.12.3=py310h8d17308_0
+  - hdf5=1.14.3=nompi_h73e8ff5_100
+  - jinja2=3.1.3=pyhd8ed1ab_0
+  - lcms2=2.16=h67d730c_0
+  - libxcb=1.15=hcd874cb_0
+  - numpy=1.23.5=py310h4a8f9c9_0
+  - openjpeg=2.5.2=h3d672ee_0
+  - partd=1.4.1=pyhd8ed1ab_0
+  - pip=24.0=pyhd8ed1ab_0
+  - pysocks=1.7.1=pyh0701188_6
+  - python-dateutil=2.9.0=pyhd8ed1ab_0
+  - tbb=2021.11.0=h91493d7_1
+  - tqdm=4.66.2=pyhd8ed1ab_0
+  - typing-extensions=4.10.0=hd8ed1ab_0
+  - annotated-types=0.6.0=pyhd8ed1ab_0
+  - contourpy=1.2.0=py310h232114e_0
+  - dask-core=2022.10.2=pyhd8ed1ab_0
+  - fonttools=4.49.0=py310h8d17308_0
+  - h5py=3.10.0=nompi_py310hde4a0ea_101
+  - mkl=2022.2.1=h6a75c08_19751
+  - numba=0.59.0=py310h9ccaf4f_1
+  - numcodecs=0.12.1=py310h00ffb61_0
+  - pillow=10.2.0=py310h1e6a543_0
+  - pydantic-core=2.14.6=py310h87d50f1_1
+  - urllib3=2.2.1=pyhd8ed1ab_0
+  - distributed=2022.10.2=pyhd8ed1ab_0
+  - matplotlib-base=3.8.3=py310hc9baf74_0
+  - pydantic=2.5.3=pyhd8ed1ab_0
+  - requests=2.31.0=pyhd8ed1ab_0
+  - zarr=2.14.2=pyhd8ed1ab_0
+  - pooch=1.8.1=pyhd8ed1ab_0
+  - scipy=1.10.1=py310h578b7cb_3
+  - discretize=0.10.0=py310h4856b71_1
+  - empymod=2.2.2=pyhd8ed1ab_0
+  - pydiso=0.0.3=py310h847dae0_4
+  - pymatsolver-base=0.2.0=pyh44b312d_3
+  - geoana=0.4.0=py310h232114e_1
+  - pymatsolver=0.2.0=ha770c72_3
   - pip:
-      - annotated-types === 0.6.0 --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43
-      - geoapps-utils === 0.3.0a1 --hash=sha256:91e4746d916dad8439c97a5f7a32236216f3037e7690f3095318f7d12b70f762
-      - geoh5py === 0.9.0a1 --hash=sha256:ddf340cc1b966ee8ac4f0bf6e0206e56e2de77f9cdbae20d07ce93fd4793bfa5
-      - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
-      - mira-simpeg === 0.19.0.dev6 --hash=sha256:7720abe7cc2dddedcc9bee847de1cf8e0d88419ce07495892bea170a443ad0f7
-      - octree-creation-app === 0.1.0a2 --hash=sha256:2d05aa7436833888cb1d68fda95eab89858ddb74987a7f350163a346d1ebebcf
-      - pandas === 2.2.0 --hash=sha256:5a946f210383c7e6d16312d30b238fd508d80d927014f3b33fb5b15c2f895430
-      - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
-      - properties === 0.6.1 --hash=sha256:b119ce4c53f4717fa29371c1bb929f422dda7ed90a4559b3583ea77389177263
-      - pydantic === 2.5.3 --hash=sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4
-      - pydantic-core === 2.14.6 --hash=sha256:36fa402dcdc8ea7f1b0ddcf0df4254cc6b2e08f8cd80e7010d4c4ae6e86b2a87
-      - pytz === 2023.4 --hash=sha256:f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
-      - scikit-learn === 1.4.0 --hash=sha256:11b3b140f70fbc9f6a08884631ae8dd60a4bb2d7d6d1de92738ea42b740d8992
-      - simpeg-archive === 0.11.0.dev6 --hash=sha256:ddb2487b640846a6859afb6f9f33ec5a04e4e0d5572c690d4c1a88579a47adcb
-      - threadpoolctl === 3.2.0 --hash=sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032
-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
+    - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
+    - pytz === 2024.1 --hash=sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319
+    - threadpoolctl === 3.3.0 --hash=sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e
+    - tzdata === 2024.1 --hash=sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252
+    - geoh5py === 0.9.0a2 --hash=sha256:70041ed40bda3caa4fc95b9cf842822ceb0b4337954233a76fcada04daf9fd0f
+    - pandas === 2.2.1 --hash=sha256:94e714a1cca63e4f5939cdce5f29ba8d415d85166be3441165edd427dc9f6bc0
+    - scikit-learn === 1.4.1.post1 --hash=sha256:629e09f772ad42f657ca60a1a52342eef786218dd20cf1369a3b8d085e55ef8f
+    - geoapps-utils === 0.3.0a2 --hash=sha256:cf9d091d7f86c860f24369ddd2fbc6f6670369ca56dd35038c1093bd62ef957d
+    - mira-simpeg === 0.19.0.dev7 --hash=sha256:d3ec1138f09611404ae302510b8298ca72e35d70dc623bcd5f499333d8adce01
+    - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
+    - octree-creation-app === 0.1.0a3 --hash=sha256:834030116897072e1dfd9ac78c73326a766a6b8f455215dac061343af4453734
 
 variables:
   KMP_WARNINGS: 0
diff --git a/environments/py-3.9-linux-64-dev.conda.lock.yml b/environments/py-3.9-linux-64-dev.conda.lock.yml
deleted file mode 100644
index 604fd4cd0..000000000
--- a/environments/py-3.9-linux-64-dev.conda.lock.yml
+++ /dev/null
@@ -1,174 +0,0 @@
-# Generated by conda-lock.
-# platform: linux-64
-# input_hash: 2569d23c18a50ce2717159c9416d0bda6d23e15e9102267d9e74a8b7bd5024f4
-
-channels:
-  - conda-forge
-dependencies:
-  - _libgcc_mutex=0.1=conda_forge
-  - _openmp_mutex=4.5=2_kmp_llvm
-  - asciitree=0.3.3=py_2
-  - astroid=3.0.2=py39hf3d152e_0
-  - brotli=1.1.0=hd590300_1
-  - brotli-bin=1.1.0=hd590300_1
-  - brotli-python=1.1.0=py39h3d6467e_1
-  - bzip2=1.0.8=hd590300_5
-  - c-ares=1.26.0=hd590300_0
-  - ca-certificates=2023.11.17=hbcca054_0
-  - cached-property=1.5.2=hd8ed1ab_1
-  - cached_property=1.5.2=pyha770c72_1
-  - certifi=2023.11.17=pyhd8ed1ab_0
-  - charset-normalizer=3.3.2=pyhd8ed1ab_0
-  - click=8.1.7=unix_pyh707e725_0
-  - cloudpickle=3.0.0=pyhd8ed1ab_0
-  - colorama=0.4.6=pyhd8ed1ab_0
-  - contourpy=1.2.0=py39h7633fee_0
-  - coverage=7.4.1=py39hd1e30aa_0
-  - cycler=0.12.1=pyhd8ed1ab_0
-  - cytoolz=0.12.2=py39hd1e30aa_1
-  - dask-core=2022.10.2=pyhd8ed1ab_0
-  - dill=0.3.8=pyhd8ed1ab_0
-  - discretize=0.10.0=py39hda80f44_1
-  - distributed=2022.10.2=pyhd8ed1ab_0
-  - empymod=2.2.2=pyhd8ed1ab_0
-  - exceptiongroup=1.2.0=pyhd8ed1ab_2
-  - fasteners=0.17.3=pyhd8ed1ab_0
-  - fonttools=4.47.2=py39hd1e30aa_0
-  - freetype=2.12.1=h267a509_2
-  - fsspec=2023.12.2=pyhca7485f_0
-  - geoana=0.4.0=py39hf939315_1
-  - h5py=3.10.0=nompi_py39h2c511df_101
-  - hdf5=1.14.3=nompi_h4f84152_100
-  - icu=73.2=h59595ed_0
-  - idna=3.6=pyhd8ed1ab_0
-  - importlib-resources=6.1.1=pyhd8ed1ab_0
-  - importlib_resources=6.1.1=pyhd8ed1ab_0
-  - iniconfig=2.0.0=pyhd8ed1ab_0
-  - isort=5.13.2=pyhd8ed1ab_0
-  - jinja2=3.1.3=pyhd8ed1ab_0
-  - keyutils=1.6.1=h166bdaf_0
-  - kiwisolver=1.4.5=py39h7633fee_1
-  - krb5=1.21.2=h659d440_0
-  - lcms2=2.16=hb7c19ff_0
-  - ld_impl_linux-64=2.40=h41732ed_0
-  - lerc=4.0.0=h27087fc_0
-  - libaec=1.1.2=h59595ed_1
-  - libblas=3.9.0=20_linux64_openblas
-  - libbrotlicommon=1.1.0=hd590300_1
-  - libbrotlidec=1.1.0=hd590300_1
-  - libbrotlienc=1.1.0=hd590300_1
-  - libcblas=3.9.0=20_linux64_openblas
-  - libcurl=8.5.0=hca28451_0
-  - libdeflate=1.19=hd590300_0
-  - libedit=3.1.20191231=he28a2e2_2
-  - libev=4.33=hd590300_2
-  - libffi=3.4.2=h7f98852_5
-  - libgcc-ng=13.2.0=h807b86a_4
-  - libgfortran-ng=13.2.0=h69a702a_4
-  - libgfortran5=13.2.0=ha4646dd_4
-  - 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
-  - libllvm14=14.0.6=hcd5def8_4
-  - libnghttp2=1.58.0=h47da74e_1
-  - libnsl=2.0.1=hd590300_0
-  - libopenblas=0.3.25=pthreads_h413a1c8_0
-  - libpng=1.6.42=h2797004_0
-  - libsqlite=3.44.2=h2797004_0
-  - libssh2=1.11.0=h0841786_0
-  - libstdcxx-ng=13.2.0=h7e041cc_4
-  - libtiff=4.6.0=ha9c0a0a_2
-  - libuuid=2.38.1=h0b41bf4_0
-  - libwebp-base=1.3.2=hd590300_0
-  - libxcb=1.15=h0b41bf4_0
-  - libxcrypt=4.4.36=hd590300_1
-  - libxml2=2.12.4=h232c23b_1
-  - libzlib=1.2.13=hd590300_5
-  - llvm-openmp=17.0.6=h4dfa4b3_0
-  - llvmlite=0.41.1=py39h174d805_0
-  - locket=1.0.0=pyhd8ed1ab_0
-  - markupsafe=2.1.4=py39hd1e30aa_0
-  - matplotlib-base=3.8.2=py39he9076e7_0
-  - mccabe=0.7.0=pyhd8ed1ab_0
-  - mkl=2022.2.1=h84fe81f_16997
-  - msgpack-python=1.0.7=py39h7633fee_0
-  - munkres=1.1.4=pyh9f0ad1d_0
-  - ncurses=6.4=h59595ed_2
-  - numba=0.58.1=py39h615d6bd_0
-  - numcodecs=0.12.1=py39h3d6467e_0
-  - numpy=1.23.5=py39h3d75532_0
-  - openjpeg=2.5.0=h488ebb8_3
-  - openssl=3.2.1=hd590300_0
-  - packaging=23.2=pyhd8ed1ab_0
-  - partd=1.4.1=pyhd8ed1ab_0
-  - pillow=10.2.0=py39had0adad_0
-  - pip=23.3.2=pyhd8ed1ab_0
-  - platformdirs=4.2.0=pyhd8ed1ab_0
-  - pluggy=1.4.0=pyhd8ed1ab_0
-  - pooch=1.8.0=pyhd8ed1ab_0
-  - psutil=5.9.8=py39hd1e30aa_0
-  - pthread-stubs=0.4=h36c2ea0_1001
-  - pydiso=0.0.3=py39h051f8f4_4
-  - pygments=2.17.2=pyhd8ed1ab_0
-  - pylint=3.0.3=pyhd8ed1ab_0
-  - pymatsolver=0.2.0=py39hf3d152e_2
-  - pyparsing=3.1.1=pyhd8ed1ab_0
-  - pysocks=1.7.1=pyha2e5f31_6
-  - pytest=8.0.0=pyhd8ed1ab_0
-  - pytest-cov=4.1.0=pyhd8ed1ab_0
-  - python=3.9.18=h0755675_1_cpython
-  - python-dateutil=2.8.2=pyhd8ed1ab_0
-  - python_abi=3.9=4_cp39
-  - pyyaml=6.0.1=py39hd1e30aa_1
-  - readline=8.2=h8228510_1
-  - requests=2.31.0=pyhd8ed1ab_0
-  - scipy=1.10.1=py39h6183b62_3
-  - setuptools=69.0.3=pyhd8ed1ab_0
-  - six=1.16.0=pyh6c4a22f_0
-  - sortedcontainers=2.4.0=pyhd8ed1ab_0
-  - tbb=2021.11.0=h00ab1b0_1
-  - tblib=3.0.0=pyhd8ed1ab_0
-  - tk=8.6.13=noxft_h4845f30_101
-  - toml=0.10.2=pyhd8ed1ab_0
-  - tomli=2.0.1=pyhd8ed1ab_0
-  - tomlkit=0.12.3=pyha770c72_0
-  - toolz=0.12.1=pyhd8ed1ab_0
-  - tornado=6.1=py39hb9d737c_3
-  - tqdm=4.66.1=pyhd8ed1ab_0
-  - typing-extensions=4.9.0=hd8ed1ab_0
-  - typing_extensions=4.9.0=pyha770c72_0
-  - tzdata=2023d=h0c530f3_0
-  - unicodedata2=15.1.0=py39hd1e30aa_0
-  - urllib3=2.2.0=pyhd8ed1ab_0
-  - utm=0.7.0=pyhd8ed1ab_0
-  - wheel=0.42.0=pyhd8ed1ab_0
-  - xorg-libxau=1.0.11=hd590300_0
-  - xorg-libxdmcp=1.1.3=h7f98852_0
-  - xz=5.2.6=h166bdaf_0
-  - yaml=0.2.5=h7f98852_2
-  - zarr=2.14.2=pyhd8ed1ab_0
-  - zict=3.0.0=pyhd8ed1ab_0
-  - zipp=3.17.0=pyhd8ed1ab_0
-  - zstd=1.5.5=hfc55251_0
-  - pip:
-      - annotated-types === 0.6.0 --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43
-      - geoapps-utils === 0.3.0a1 --hash=sha256:91e4746d916dad8439c97a5f7a32236216f3037e7690f3095318f7d12b70f762
-      - geoh5py === 0.9.0a1 --hash=sha256:ddf340cc1b966ee8ac4f0bf6e0206e56e2de77f9cdbae20d07ce93fd4793bfa5
-      - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
-      - mira-simpeg === 0.19.0.dev6 --hash=sha256:7720abe7cc2dddedcc9bee847de1cf8e0d88419ce07495892bea170a443ad0f7
-      - octree-creation-app === 0.1.0a2 --hash=sha256:2d05aa7436833888cb1d68fda95eab89858ddb74987a7f350163a346d1ebebcf
-      - pandas === 2.2.0 --hash=sha256:eb61dc8567b798b969bcc1fc964788f5a68214d333cade8319c7ab33e2b5d88a
-      - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
-      - properties === 0.6.1 --hash=sha256:b119ce4c53f4717fa29371c1bb929f422dda7ed90a4559b3583ea77389177263
-      - pydantic === 2.5.3 --hash=sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4
-      - pydantic-core === 2.14.6 --hash=sha256:eedf97be7bc3dbc8addcef4142f4b4164066df0c6f36397ae4aaed3eb187d8ab
-      - pytz === 2023.4 --hash=sha256:f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
-      - scikit-learn === 1.4.0 --hash=sha256:aad2a63e0dd386b92da3270887a29b308af4d7c750d8c4995dfd9a4798691bcc
-      - simpeg-archive === 0.11.0.dev6 --hash=sha256:ddb2487b640846a6859afb6f9f33ec5a04e4e0d5572c690d4c1a88579a47adcb
-      - threadpoolctl === 3.2.0 --hash=sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032
-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
-
-variables:
-  KMP_WARNINGS: 0
diff --git a/environments/py-3.9-linux-64.conda.lock.yml b/environments/py-3.9-linux-64.conda.lock.yml
deleted file mode 100644
index 198f7f4e5..000000000
--- a/environments/py-3.9-linux-64.conda.lock.yml
+++ /dev/null
@@ -1,157 +0,0 @@
-# Generated by conda-lock.
-# platform: linux-64
-# input_hash: 2569d23c18a50ce2717159c9416d0bda6d23e15e9102267d9e74a8b7bd5024f4
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-  - brotli-python=1.1.0=py39h3d6467e_1
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-  - lerc=4.0.0=h27087fc_0
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-  - libblas=3.9.0=20_linux64_openblas
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-  - libbrotlidec=1.1.0=hd590300_1
-  - libbrotlienc=1.1.0=hd590300_1
-  - libcblas=3.9.0=20_linux64_openblas
-  - libcurl=8.5.0=hca28451_0
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-  - libedit=3.1.20191231=he28a2e2_2
-  - libev=4.33=hd590300_2
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-  - libgfortran-ng=13.2.0=h69a702a_4
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-  - 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
-  - libllvm14=14.0.6=hcd5def8_4
-  - libnghttp2=1.58.0=h47da74e_1
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-  - libpng=1.6.42=h2797004_0
-  - libsqlite=3.44.2=h2797004_0
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-  - libxcrypt=4.4.36=hd590300_1
-  - libxml2=2.12.4=h232c23b_1
-  - libzlib=1.2.13=hd590300_5
-  - llvm-openmp=17.0.6=h4dfa4b3_0
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-      - properties === 0.6.1 --hash=sha256:b119ce4c53f4717fa29371c1bb929f422dda7ed90a4559b3583ea77389177263
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-      - pydantic-core === 2.14.6 --hash=sha256:eedf97be7bc3dbc8addcef4142f4b4164066df0c6f36397ae4aaed3eb187d8ab
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-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
-
-variables:
-  KMP_WARNINGS: 0
diff --git a/environments/py-3.9-win-64-dev.conda.lock.yml b/environments/py-3.9-win-64-dev.conda.lock.yml
deleted file mode 100644
index 7c95f273a..000000000
--- a/environments/py-3.9-win-64-dev.conda.lock.yml
+++ /dev/null
@@ -1,167 +0,0 @@
-# Generated by conda-lock.
-# platform: win-64
-# input_hash: 05818de814831aa7ce4730874190deab32c188e91223cea9d42bc766d34d3b93
-
-channels:
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-  - brotli-python=1.1.0=py39h99910a6_1
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-  - zstd=1.5.5=h12be248_0
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-      - annotated-types === 0.6.0 --hash=sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43
-      - geoapps-utils === 0.3.0a1 --hash=sha256:91e4746d916dad8439c97a5f7a32236216f3037e7690f3095318f7d12b70f762
-      - geoh5py === 0.9.0a1 --hash=sha256:ddf340cc1b966ee8ac4f0bf6e0206e56e2de77f9cdbae20d07ce93fd4793bfa5
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-      - pydantic === 2.5.3 --hash=sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4
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-      - pytz === 2023.4 --hash=sha256:f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
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-      - simpeg-archive === 0.11.0.dev6 --hash=sha256:ddb2487b640846a6859afb6f9f33ec5a04e4e0d5572c690d4c1a88579a47adcb
-      - threadpoolctl === 3.2.0 --hash=sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032
-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
-
-variables:
-  KMP_WARNINGS: 0
diff --git a/environments/py-3.9-win-64.conda.lock.yml b/environments/py-3.9-win-64.conda.lock.yml
deleted file mode 100644
index 56f9e3f7d..000000000
--- a/environments/py-3.9-win-64.conda.lock.yml
+++ /dev/null
@@ -1,150 +0,0 @@
-# Generated by conda-lock.
-# platform: win-64
-# input_hash: 05818de814831aa7ce4730874190deab32c188e91223cea9d42bc766d34d3b93
-
-channels:
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-  - brotli=1.1.0=hcfcfb64_1
-  - brotli-bin=1.1.0=hcfcfb64_1
-  - brotli-python=1.1.0=py39h99910a6_1
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-  - ca-certificates=2023.11.17=h56e8100_0
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-  - cloudpickle=3.0.0=pyhd8ed1ab_0
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-  - cytoolz=0.12.2=py39ha55989b_1
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-  - fasteners=0.17.3=pyhd8ed1ab_0
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-  - freetype=2.12.1=hdaf720e_2
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-  - geoana=0.4.0=py39h1f6ef14_1
-  - h5py=3.10.0=nompi_py39he8a0d39_101
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-  - importlib_resources=6.1.1=pyhd8ed1ab_0
-  - intel-openmp=2024.0.0=h57928b3_49841
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-  - kiwisolver=1.4.5=py39h1f6ef14_1
-  - krb5=1.21.2=heb0366b_0
-  - lcms2=2.16=h67d730c_0
-  - lerc=4.0.0=h63175ca_0
-  - libaec=1.1.2=h63175ca_1
-  - libblas=3.9.0=21_win64_blis
-  - libbrotlicommon=1.1.0=hcfcfb64_1
-  - libbrotlidec=1.1.0=hcfcfb64_1
-  - libbrotlienc=1.1.0=hcfcfb64_1
-  - libcblas=3.9.0=21_win64_blis
-  - libcurl=8.5.0=hd5e4a3a_0
-  - libdeflate=1.19=hcfcfb64_0
-  - libffi=3.4.2=h8ffe710_5
-  - libhwloc=2.9.3=default_haede6df_1009
-  - libiconv=1.17=hcfcfb64_2
-  - libjpeg-turbo=3.0.0=hcfcfb64_1
-  - liblapack=3.9.0=5_hd5c7e75_netlib
-  - libpng=1.6.42=h19919ed_0
-  - libsqlite=3.44.2=hcfcfb64_0
-  - libssh2=1.11.0=h7dfc565_0
-  - libtiff=4.6.0=h6e2ebb7_2
-  - libwebp-base=1.3.2=hcfcfb64_0
-  - libxcb=1.15=hcd874cb_0
-  - libxml2=2.12.4=hc3477c8_1
-  - libzlib=1.2.13=hcfcfb64_5
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-  - locket=1.0.0=pyhd8ed1ab_0
-  - m2w64-gcc-libgfortran=5.3.0=6
-  - m2w64-gcc-libs=5.3.0=7
-  - m2w64-gcc-libs-core=5.3.0=7
-  - m2w64-gmp=6.1.0=2
-  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
-  - markupsafe=2.1.4=py39ha55989b_0
-  - matplotlib-base=3.8.2=py39hf19769e_0
-  - mkl=2022.2.1=h6a75c08_19751
-  - msgpack-python=1.0.7=py39h1f6ef14_0
-  - msys2-conda-epoch=20160418=1
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-  - numpy=1.23.5=py39hbccbffa_0
-  - openjpeg=2.5.0=h3d672ee_3
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-  - packaging=23.2=pyhd8ed1ab_0
-  - partd=1.4.1=pyhd8ed1ab_0
-  - pillow=10.2.0=py39h368b509_0
-  - pip=23.3.2=pyhd8ed1ab_0
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-  - pyparsing=3.1.1=pyhd8ed1ab_0
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-  - python=3.9.18=h4de0772_1_cpython
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-  - tbb=2021.11.0=h91493d7_1
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-  - tk=8.6.13=h5226925_1
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-  - tornado=6.1=py39hb82d6ee_3
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-  - tzdata=2023d=h0c530f3_0
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-  - vc=14.3=hcf57466_18
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-  - vs2015_runtime=14.38.33130=hcb4865c_18
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-  - zarr=2.14.2=pyhd8ed1ab_0
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-  - zipp=3.17.0=pyhd8ed1ab_0
-  - zstd=1.5.5=h12be248_0
-  - pip:
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-      - geoapps-utils === 0.3.0a1 --hash=sha256:91e4746d916dad8439c97a5f7a32236216f3037e7690f3095318f7d12b70f762
-      - geoh5py === 0.9.0a1 --hash=sha256:ddf340cc1b966ee8ac4f0bf6e0206e56e2de77f9cdbae20d07ce93fd4793bfa5
-      - joblib === 1.3.2 --hash=sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
-      - mira-simpeg === 0.19.0.dev6 --hash=sha256:7720abe7cc2dddedcc9bee847de1cf8e0d88419ce07495892bea170a443ad0f7
-      - octree-creation-app === 0.1.0a2 --hash=sha256:2d05aa7436833888cb1d68fda95eab89858ddb74987a7f350163a346d1ebebcf
-      - pandas === 2.2.0 --hash=sha256:3de918a754bbf2da2381e8a3dcc45eede8cd7775b047b923f9006d5f876802ae
-      - param-sweeps === 0.1.7a1 --hash=sha256:2a82acf94d50507f9a2922ff96b90e22326d9e0deb632a03fc4ae7008defca05
-      - properties === 0.6.1 --hash=sha256:b119ce4c53f4717fa29371c1bb929f422dda7ed90a4559b3583ea77389177263
-      - pydantic === 2.5.3 --hash=sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4
-      - pydantic-core === 2.14.6 --hash=sha256:aca48506a9c20f68ee61c87f2008f81f8ee99f8d7f0104bff3c47e2d148f89d9
-      - pytz === 2023.4 --hash=sha256:f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
-      - scikit-learn === 1.4.0 --hash=sha256:53b9e29177897c37e2ff9d4ba6ca12fdb156e22523e463db05def303f5c72b5c
-      - simpeg-archive === 0.11.0.dev6 --hash=sha256:ddb2487b640846a6859afb6f9f33ec5a04e4e0d5572c690d4c1a88579a47adcb
-      - threadpoolctl === 3.2.0 --hash=sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032
-      - tzdata === 2023.4 --hash=sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3
-      - vectormath === 0.2.2 --hash=sha256:f9f9209d350ec89dc11e2548e0e6397c1b9489c8468eb50ce33788ee4322a7b8
-
-variables:
-  KMP_WARNINGS: 0
diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml
index 1cb4a5dab..ab8c4da12 100644
--- a/py-3.10.conda-lock.yml
+++ b/py-3.10.conda-lock.yml
@@ -15,8 +15,8 @@
 version: 1
 metadata:
   content_hash:
-    win-64: ba8441ac3c2a520e4b2538f14d8c9a4df2d52babad17e72d191243ae440c9988
-    linux-64: 53e71090838f77dd4ee911864b4df32d7ba0f8036b08773c1e53c0f6fb6757bc
+    win-64: 71b6f64ed0ad53b3872aa121b3d9c61381fb9163481d975a8dccc78a12f0c74a
+    linux-64: 9f1e6e1319eb5768ce6c4ebde2184f75580dd54ab9986812e3bbf9c9f54b8885
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -38,1099 +38,915 @@ package:
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   category: main
   optional: false
-- name: _openmp_mutex
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+- name: ca-certificates
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   platform: linux-64
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-    llvm-openmp: '>=9.0.1'
-  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_kmp_llvm.tar.bz2
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-- name: asciitree
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-h41732ed_0.conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-h7e041cc_5.conda
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-- name: astroid
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   manager: conda
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-  dependencies:
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-    python_abi: 3.10.*
-    typing-extensions: '>=4.0.0'
-  url: https://conda.anaconda.org/conda-forge/win-64/astroid-3.0.2-py310h5588dad_0.conda
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+  platform: linux-64
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+  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
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   category: main
   optional: false
-- name: brotli
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+- name: _openmp_mutex
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   manager: conda
   platform: linux-64
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-    libbrotlidec: 1.1.0
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-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda
+    _libgcc_mutex: '0.1'
+    llvm-openmp: '>=9.0.1'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_kmp_llvm.tar.bz2
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   optional: false
-- name: brotli
-  version: 1.1.0
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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+    _libgcc_mutex: '0.1'
+    _openmp_mutex: '>=4.5'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_5.conda
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   optional: false
-- name: contourpy
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   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    numpy: '>=1.20,<2'
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-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.0-py310hd41b1e2_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
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   optional: false
-- name: contourpy
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   manager: conda
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+  platform: linux-64
   dependencies:
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-    python: '>=3.10,<3.11.0a0'
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-  url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.2.0-py310h232114e_0.conda
+    libgcc-ng: '>=9.4.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
   hash:
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-- name: coverage
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+- name: libbrotlidec
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   manager: conda
   platform: linux-64
   dependencies:
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     libgcc-ng: '>=12'
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-    python_abi: 3.10.*
-    tomli: ''
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-  url: https://conda.anaconda.org/conda-forge/win-64/coverage-7.4.1-py310h8d17308_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda
   hash:
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-- name: cycler
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+- name: libbrotlienc
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
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+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda
   hash:
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   optional: false
-- name: cycler
-  version: 0.12.1
+- name: libedit
+  version: 3.1.20191231
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=7.5.0'
+    ncurses: '>=6.2,<7.0.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
   hash:
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   optional: false
-- name: cytoolz
-  version: 0.12.2
+- name: libgfortran-ng
+  version: 13.2.0
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-    python: '>=3.10,<3.11.0a0'
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-    toolz: '>=0.10.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.2-py310h2372a71_1.conda
+    libgfortran5: 13.2.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_5.conda
   hash:
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   optional: false
-- name: cytoolz
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/cytoolz-0.12.2-py310h8d17308_1.conda
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm14-14.0.6-hcd5def8_4.conda
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   optional: false
-- name: dask-core
-  version: 2022.10.2
+- name: libnghttp2
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   manager: conda
   platform: linux-64
   dependencies:
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-    cloudpickle: '>=1.1.1'
-    fsspec: '>=0.6.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.2-pyhd8ed1ab_0.tar.bz2
+    c-ares: '>=1.23.0,<2.0a0'
+    libev: '>=4.33,<5.0a0'
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda
   hash:
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   optional: false
-- name: dask-core
-  version: 2022.10.2
+- name: libpng
+  version: 1.6.43
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    python: '>=3.8'
-    click: '>=7.0'
-    packaging: '>=20.0'
-    pyyaml: '>=5.3.1'
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-  url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.2-pyhd8ed1ab_0.tar.bz2
+    libgcc-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.43-h2797004_0.conda
   hash:
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   category: main
   optional: false
-- name: dill
-  version: 0.3.8
+- name: libsqlite
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/dill-0.3.8-pyhd8ed1ab_0.conda
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-- name: dill
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-  manager: conda
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-  dependencies:
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/dill-0.3.8-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.1-h2797004_0.conda
   hash:
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-  category: dev
-  optional: true
-- name: discretize
-  version: 0.10.0
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+    sha256: 1b379d1c652b25d0540251d422ef767472e768fd36b77261045e97f9ba6d3faa
+  category: main
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+- name: libssh2
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   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    numpy: '>=1.22.4,<2.0a0'
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-    python_abi: 3.10.*
-    scipy: '>=1.8'
-  url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.10.0-py310hcb52e73_1.conda
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.1.1,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda
   hash:
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   category: main
   optional: false
-- name: discretize
-  version: 0.10.0
+- name: libxcb
+  version: '1.15'
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    numpy: '>=1.22.4,<2.0a0'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
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-    vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/discretize-0.10.0-py310h4856b71_1.conda
+    libgcc-ng: '>=12'
+    pthread-stubs: ''
+    xorg-libxau: ''
+    xorg-libxdmcp: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
   hash:
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   category: main
   optional: false
-- name: distributed
-  version: 2022.10.2
+- name: libxml2
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   manager: conda
   platform: linux-64
   dependencies:
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-    cloudpickle: '>=1.5.0'
-    cytoolz: '>=0.8.2'
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-    zict: '>=0.1.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.2-pyhd8ed1ab_0.tar.bz2
+    icu: '>=73.2,<74.0a0'
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+    libiconv: '>=1.17,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    xz: '>=5.2.6,<6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.5-h232c23b_0.conda
   hash:
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   optional: false
-- name: distributed
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+- name: readline
+  version: '8.2'
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    pyyaml: ''
-    jinja2: ''
-    urllib3: ''
-    python: '>=3.8'
-    packaging: '>=20.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.2-pyhd8ed1ab_0.tar.bz2
+    libgcc-ng: '>=12'
+    ncurses: '>=6.3,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
   hash:
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   category: main
   optional: false
-- name: empymod
-  version: 2.2.2
+- name: tk
+  version: 8.6.13
   manager: conda
   platform: linux-64
   dependencies:
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-    python: '>=3.7'
-    scipy: '>=1.4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.2-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
   hash:
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   optional: false
-- name: empymod
-  version: 2.2.2
+- name: zstd
+  version: 1.5.5
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    scipy: '>=1.4.0'
-    numba: '>=0.47'
-  url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.2-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.5-hfc55251_0.conda
   hash:
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   category: main
   optional: false
-- name: exceptiongroup
-  version: 1.2.0
+- name: brotli-bin
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
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-- name: exceptiongroup
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-  dependencies:
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-- name: fasteners
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   manager: conda
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-- name: fonttools
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   manager: conda
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   dependencies:
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     libgcc-ng: '>=12'
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-- name: fonttools
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   manager: conda
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   dependencies:
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-- name: freetype
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-- name: freetype
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+  platform: linux-64
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-- name: fsspec
-  version: 2023.12.2
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.12.2-pyhca7485f_0.conda
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-- name: fsspec
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.12.2-pyhca7485f_0.conda
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-- name: geoana
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   manager: conda
   platform: linux-64
   dependencies:
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+    libbrotlidec: 1.1.0
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-  url: https://conda.anaconda.org/conda-forge/linux-64/geoana-0.4.0-py310hbf28c38_1.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda
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-- name: geoana
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/geoana-0.4.0-py310h232114e_1.tar.bz2
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-- name: h5py
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+    python: '>=3.6'
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-- name: h5py
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   manager: conda
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+  platform: linux-64
   dependencies:
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+    python: '>=3.7'
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-- name: hdf5
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   manager: conda
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   dependencies:
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-- name: hdf5
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   manager: conda
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   dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda
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-- name: icu
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   manager: conda
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   dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/icu-73.2-h59595ed_0.conda
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+  url: https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.0.0-pyhd8ed1ab_0.conda
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-- name: idna
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+- name: colorama
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/idna-3.6-pyhd8ed1ab_0.conda
+    python: '>=3.7'
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-- name: idna
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/idna-3.6-pyhd8ed1ab_0.conda
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-- name: iniconfig
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   platform: linux-64
   dependencies:
     python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
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-- name: iniconfig
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+  version: 1.2.0
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
     python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
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-- name: isort
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+- name: fasteners
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/isort-5.13.2-pyhd8ed1ab_0.conda
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-    python: '>=3.8,<4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/isort-5.13.2-pyhd8ed1ab_0.conda
+    python: '>=3.6'
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-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.3-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.2.0-pyhca7485f_0.conda
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   manager: conda
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+  platform: linux-64
   dependencies:
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-    markupsafe: '>=2.0'
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+    python: '>=3.6'
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
+    python: '>=3.7'
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 - name: kiwisolver
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   category: main
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-- name: kiwisolver
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.5-py310h232114e_1.conda
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+    libtiff: '>=4.6.0,<4.7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda
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-- name: krb5
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+  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-20_linux64_openblas.conda
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-- name: krb5
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+- name: libcurl
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   manager: conda
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+  platform: linux-64
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-- name: lcms2
-  version: '2.16'
+- name: llvmlite
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   manager: conda
   platform: linux-64
   dependencies:
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+    python: '>=3.10,<3.11.0a0'
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-- name: lcms2
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   manager: conda
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+  platform: linux-64
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-- name: ld_impl_linux-64
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-  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-h41732ed_0.conda
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-- name: lerc
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+  platform: linux-64
+  dependencies:
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     libstdcxx-ng: '>=12'
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+    python: '>=3.10,<3.11.0a0'
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   manager: conda
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   manager: conda
   platform: linux-64
   dependencies:
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-- name: libaec
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-20_linux64_openblas.conda
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   optional: false
-- name: libblas
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-21_win64_blis.conda
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-- name: libbrotlicommon
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-- name: libbrotlicommon
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   manager: conda
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   dependencies:
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-- name: libbrotlidec
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-- name: libbrotlidec
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   manager: conda
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+  platform: linux-64
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-- name: libbrotlienc
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   manager: conda
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     libgcc-ng: '>=12'
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-- name: libbrotlienc
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-- name: libcblas
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-20_linux64_openblas.conda
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-- name: libcblas
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-21_win64_blis.conda
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-- name: libcurl
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   manager: conda
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+    libstdcxx-ng: '>=12'
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-- name: libcurl
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   manager: conda
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+  platform: linux-64
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-- name: libdeflate
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   manager: conda
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-- name: libdeflate
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   manager: conda
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-- name: libev
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   manager: conda
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+    python: '>=3.10,<3.11.0a0'
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2
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-- name: libgcc-ng
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   manager: conda
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   dependencies:
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-    _openmp_mutex: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_4.conda
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-- name: libgfortran-ng
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_4.conda
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-- name: libhwloc
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   manager: conda
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   dependencies:
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-- name: libhwloc
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   manager: conda
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-- name: libiconv
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   manager: conda
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   dependencies:
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-- name: libiconv
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+- name: fonttools
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   manager: conda
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   dependencies:
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   manager: conda
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+  platform: linux-64
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+    python: '>=3.7'
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   manager: conda
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   manager: conda
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   manager: conda
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   dependencies:
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   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.3.2-hd590300_0.conda
+    coverage: '>=5.2.1'
+    pytest: '>=4.6'
+    python: '>=3.7'
+    toml: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-4.1.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 68764a760fa81ef35dacb067fe8ace452bbb41476536a4a147a1051df29525f0
-  category: main
-  optional: false
-- name: libwebp-base
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+    sha256: f07d3b44cabbed7843de654c4a6990a08475ce3b708bb735c7da9842614586f2
+  category: dev
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+- name: requests
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    vc: '>=14.2,<15'
-    vc14_runtime: '>=14.29.30139'
-  url: https://conda.anaconda.org/conda-forge/win-64/libwebp-base-1.3.2-hcfcfb64_0.conda
+    certifi: '>=2017.4.17'
+    charset-normalizer: '>=2,<4'
+    idna: '>=2.5,<4'
+    python: '>=3.7'
+    urllib3: '>=1.21.1,<3'
+  url: https://conda.anaconda.org/conda-forge/noarch/requests-2.31.0-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: libxcb
-  version: '1.15'
+- name: contourpy
+  version: 1.2.0
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    pthread-stubs: ''
-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
+    libstdcxx-ng: '>=12'
+    numpy: '>=1.20,<2'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.0-py310hd41b1e2_0.conda
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   category: main
   optional: false
-- name: libxcb
-  version: '1.15'
+- name: distributed
+  version: 2022.10.2
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    m2w64-gcc-libs: ''
-    m2w64-gcc-libs-core: ''
-    pthread-stubs: ''
-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.15-hcd874cb_0.conda
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+    cloudpickle: '>=1.5.0'
+    cytoolz: '>=0.8.2'
+    dask-core: '>=2022.10.2,<2022.10.3.0a0'
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+    locket: '>=1.0.0'
+    msgpack-python: '>=0.6.0'
+    packaging: '>=20.0'
+    psutil: '>=5.0'
+    python: '>=3.8'
+    pyyaml: ''
+    sortedcontainers: '!=2.0.0,!=2.0.1'
+    tblib: '>=1.6.0'
+    toolz: '>=0.8.2'
+    tornado: '>=6.0.3,<6.2'
+    urllib3: ''
+    zict: '>=0.1.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.2-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libxcrypt
-  version: 4.4.36
+- name: h5py
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   manager: conda
   platform: linux-64
   dependencies:
+    cached-property: ''
+    hdf5: '>=1.14.3,<1.14.4.0a0'
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
+    numpy: '>=1.22.4,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.10.0-nompi_py310h65828d5_101.conda
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   category: main
   optional: false
-- name: libxml2
-  version: 2.12.4
+- name: numba
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   manager: conda
   platform: linux-64
   dependencies:
-    icu: '>=73.2,<74.0a0'
+    _openmp_mutex: '>=4.5'
     libgcc-ng: '>=12'
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-    libzlib: '>=1.2.13,<1.3.0a0'
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+    numpy: '>=1.22.4,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/numba-0.59.0-py310h7dc5dd1_1.conda
+  hash:
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   category: main
   optional: false
-- name: libxml2
-  version: 2.12.4
+- name: numcodecs
+  version: 0.12.1
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    libiconv: '>=1.17,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    ucrt: '>=10.0.20348.0'
-    vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.4-hc3477c8_1.conda
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    msgpack-python: ''
+    numpy: '>=1.7'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.12.1-py310hc6cd4ac_0.conda
   hash:
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   category: main
   optional: false
-- name: libzlib
-  version: 1.2.13
+- name: pooch
+  version: 1.8.1
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda
+    packaging: '>=20.0'
+    platformdirs: '>=2.5.0'
+    python: '>=3.7'
+    requests: '>=2.19.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libzlib
-  version: 1.2.13
+- name: pydantic
+  version: 2.5.3
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    ucrt: '>=10.0.20348.0'
-    vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.2.13-hcfcfb64_5.conda
+    annotated-types: '>=0.4.0'
+    pydantic-core: 2.14.6
+    python: '>=3.7'
+    typing-extensions: '>=4.6.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.5.3-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: llvm-openmp
-  version: 17.0.6
+- name: pylint
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   manager: conda
   platform: linux-64
   dependencies:
-    libzlib: '>=1.2.13,<1.3.0a0'
-    zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-17.0.6-h4dfa4b3_0.conda
+    astroid: '>=3.1.0,<3.2.0-dev0'
+    colorama: '>=0.4.5'
+    dill: '>=0.3.7'
+    isort: '>=4.2.5,<6,!=5.13.0'
+    mccabe: '>=0.6,<0.8'
+    platformdirs: '>=2.2.0'
+    python: '>=3.8.0'
+    tomli: '>=1.1.0'
+    tomlkit: '>=0.10.1'
+    typing_extensions: '>=3.10.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pylint-3.1.0-pyhd8ed1ab_0.conda
   hash:
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-  category: main
-  optional: false
-- name: llvmlite
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+    sha256: 8b1fd3595f7a29c2aa3a4deb72f6fd5b920904465defc52bf2b73853d8156940
+  category: dev
+  optional: true
+- name: matplotlib-base
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   manager: conda
   platform: linux-64
   dependencies:
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+    contourpy: '>=1.0.1'
+    cycler: '>=0.10'
+    fonttools: '>=4.22.0'
+    freetype: '>=2.12.1,<3.0a0'
+    kiwisolver: '>=1.3.1'
     libgcc-ng: '>=12'
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     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    numpy: '>=1.22.4,<2.0a0'
+    packaging: '>=20.0'
+    pillow: '>=8'
+    pyparsing: '>=2.3.1'
     python: '>=3.10,<3.11.0a0'
+    python-dateutil: '>=2.7'
     python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.41.1-py310h1b8f574_0.conda
+    tk: '>=8.6.13,<8.7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.8.3-py310h62c0568_0.conda
   hash:
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   category: main
   optional: false
-- name: llvmlite
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+- name: scipy
+  version: 1.10.1
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libblas: '>=3.9.0,<4.0a0'
+    libcblas: '>=3.9.0,<4.0a0'
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+    libgfortran-ng: ''
+    libgfortran5: '>=12.2.0'
+    liblapack: '>=3.9.0,<4.0a0'
+    libstdcxx-ng: '>=12'
+    numpy: '>=1.21.6,<2.0a0'
+    pooch: ''
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
-    ucrt: '>=10.0.20348.0'
-    vc: '>=14.2,<15'
-    vc14_runtime: '>=14.29.30139'
-    vs2015_runtime: ''
-  url: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.41.1-py310hb84602e_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.10.1-py310ha4c1d20_3.conda
   hash:
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   category: main
   optional: false
-- name: locket
-  version: 1.0.0
+- name: zarr
+  version: 2.14.2
   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2
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-- name: locket
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-  manager: conda
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-  dependencies:
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-- name: m2w64-gcc-libgfortran
-  version: 5.3.0
-  manager: conda
-  platform: win-64
-  dependencies:
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-    msys2-conda-epoch: '20160418'
-  url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libgfortran-5.3.0-6.tar.bz2
+    asciitree: ''
+    fasteners: ''
+    numcodecs: '>=0.10.0'
+    numpy: '>=1.7'
+    python: '>=3.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.14.2-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: m2w64-gcc-libs
-  version: 5.3.0
+- name: discretize
+  version: 0.10.0
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    m2w64-gcc-libgfortran: ''
-    m2w64-gcc-libs-core: ''
-    m2w64-gmp: ''
-    m2w64-libwinpthread-git: ''
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-  url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-5.3.0-7.tar.bz2
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    numpy: '>=1.22.4,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+    scipy: '>=1.8'
+  url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.10.0-py310hcb52e73_1.conda
   hash:
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   category: main
   optional: false
-- name: m2w64-gcc-libs-core
-  version: 5.3.0
+- name: empymod
+  version: 2.2.2
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    m2w64-gmp: ''
-    m2w64-libwinpthread-git: ''
-    msys2-conda-epoch: '20160418'
-  url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-core-5.3.0-7.tar.bz2
+    numba: '>=0.47'
+    python: '>=3.7'
+    scipy: '>=1.4.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.2-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: m2w64-gmp
-  version: 6.1.0
+- name: pydiso
+  version: 0.0.3
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    msys2-conda-epoch: '20160418'
-  url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gmp-6.1.0-2.tar.bz2
+    libgcc-ng: '>=12'
+    mkl: '>=2022.1.0,<2023.0a0'
+    numpy: '>=1.21.6,<2.0a0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+    scipy: '>=0.13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/pydiso-0.0.3-py310h1dd1467_4.tar.bz2
   hash:
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   category: main
   optional: false
-- name: m2w64-libwinpthread-git
-  version: 5.0.0.4634.697f757
+- name: pymatsolver-base
+  version: 0.2.0
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-- name: pip
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-- name: pluggy
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.4.0-pyhd8ed1ab_0.conda
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-- name: pooch
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   manager: conda
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-- name: pooch
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   manager: conda
   platform: win-64
   dependencies:
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-- name: psutil
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: psutil
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   manager: conda
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   dependencies:
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-- name: pthread-stubs
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: pthread-stubs
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   manager: conda
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   dependencies:
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-- name: pthreads-win32
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   manager: conda
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   dependencies:
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-- name: pydiso
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   manager: conda
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+  platform: win-64
   dependencies:
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-    mkl: '>=2022.1.0,<2023.0a0'
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+    vc14_runtime: '>=14.29.30139'
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   optional: false
-- name: pydiso
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   manager: conda
   platform: win-64
   dependencies:
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-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
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     vc: '>=14.2,<15'
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+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libssh2-1.11.0-h7dfc565_0.conda
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   optional: false
-- name: pygments
-  version: 2.17.2
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.17.2-pyhd8ed1ab_0.conda
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-- name: pygments
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.17.2-pyhd8ed1ab_0.conda
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+    m2w64-gcc-libs-core: ''
+    m2w64-gmp: ''
+    m2w64-libwinpthread-git: ''
+    msys2-conda-epoch: '20160418'
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-  category: dev
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-- name: pylint
-  version: 3.0.3
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   manager: conda
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+  platform: win-64
   dependencies:
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-  category: dev
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-- name: pylint
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+    libffi: '>=3.4,<4.0a0'
+    libsqlite: '>=3.44.2,<4.0a0'
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+    vc: '>=14.1,<15'
+    vc14_runtime: '>=14.16.27033'
+    xz: '>=5.2.6,<6.0a0'
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   manager: conda
   platform: win-64
   dependencies:
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-    python: '>=3.8.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/pylint-3.0.3-pyhd8ed1ab_0.conda
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+    vc14_runtime: '>=14.29.30139'
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-  category: dev
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-- name: pymatsolver
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    pydiso: ''
-    python: '>=3.10,<3.11.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pymatsolver-0.2.0-py310hff52083_2.conda
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+  url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2
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   optional: false
-- name: pymatsolver
-  version: 0.2.0
+- name: brotli-bin
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+  manager: conda
+  platform: win-64
+  dependencies:
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+    libbrotlienc: 1.1.0
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   manager: conda
   platform: win-64
   dependencies:
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     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
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-  url: https://conda.anaconda.org/conda-forge/win-64/pymatsolver-0.2.0-py310h5588dad_2.conda
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   optional: false
-- name: pyparsing
-  version: 3.1.1
+- name: cached_property
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
     python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.1-pyhd8ed1ab_0.conda
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   optional: false
-- name: pyparsing
-  version: 3.1.1
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   manager: conda
   platform: win-64
   dependencies:
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.1-pyhd8ed1ab_0.conda
+    python: '>=3.7'
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-- name: pysocks
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: pysocks
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   dependencies:
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     python: '>=3.8'
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-- name: pytest
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-- name: python
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-  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-4_cp310.conda
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-- name: pyyaml
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   manager: conda
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   dependencies:
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-- name: pyyaml
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-- name: requests
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-- name: scipy
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   category: dev
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   category: main
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   category: main
   optional: false
-- name: tqdm
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-- name: kiwisolver
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-- name: libaec
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-- name: libblas
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-- name: libbrotlicommon
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-- name: libbrotlicommon
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-- name: libbrotlidec
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-- name: libbrotlidec
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-- name: libbrotlienc
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-- name: libbrotlienc
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-- name: libcblas
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-- name: libcblas
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-- name: libcurl
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-- name: libcurl
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-- name: libdeflate
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-  manager: conda
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-  dependencies:
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-- name: libdeflate
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-- name: libedit
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: libev
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-  manager: conda
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-  dependencies:
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-- name: libffi
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-  dependencies:
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-- name: libffi
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-- name: libgcc-ng
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-- name: libgfortran-ng
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_4.conda
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-- name: libgfortran5
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-- name: libhwloc
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-- name: libhwloc
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-- name: libiconv
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-- name: libiconv
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-- name: libjpeg-turbo
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-  manager: conda
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-  dependencies:
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-- name: libjpeg-turbo
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-- name: liblapack
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-20_linux64_openblas.conda
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-- name: liblapack
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-  manager: conda
-  platform: win-64
-  dependencies:
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-    m2w64-gcc-libs: ''
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-- name: libllvm14
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
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-- name: libnghttp2
-  version: 1.58.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    c-ares: '>=1.23.0,<2.0a0'
-    libev: '>=4.33,<5.0a0'
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-    libstdcxx-ng: '>=12'
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-    openssl: '>=3.2.0,<4.0a0'
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-  optional: false
-- name: libnsl
-  version: 2.0.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
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-  category: main
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-- name: libopenblas
-  version: 0.3.25
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libgfortran-ng: ''
-    libgfortran5: '>=12.3.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.25-pthreads_h413a1c8_0.conda
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-- name: libpng
-  version: 1.6.42
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.42-h2797004_0.conda
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-  category: main
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-- name: libpng
-  version: 1.6.42
-  manager: conda
-  platform: win-64
-  dependencies:
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-    vc: '>=14.2,<15'
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-- name: libsqlite
-  version: 3.44.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.44.2-h2797004_0.conda
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-- name: libsqlite
-  version: 3.44.2
-  manager: conda
-  platform: win-64
-  dependencies:
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-    vc: '>=14.2,<15'
-    vc14_runtime: '>=14.29.30139'
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-- name: libssh2
-  version: 1.11.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    openssl: '>=3.1.1,<4.0a0'
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-  category: main
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-- name: libssh2
-  version: 1.11.0
-  manager: conda
-  platform: win-64
-  dependencies:
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-    vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/libssh2-1.11.0-h7dfc565_0.conda
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-  category: main
-  optional: false
-- name: libstdcxx-ng
-  version: 13.2.0
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-h7e041cc_4.conda
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-- name: libtiff
-  version: 4.6.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libdeflate: '>=1.19,<1.20.0a0'
-    libgcc-ng: '>=12'
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-    libstdcxx-ng: '>=12'
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-    xz: '>=5.2.6,<6.0a0'
-    zstd: '>=1.5.5,<1.6.0a0'
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-- name: libtiff
-  version: 4.6.0
-  manager: conda
-  platform: win-64
-  dependencies:
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-    libdeflate: '>=1.19,<1.20.0a0'
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-    vc14_runtime: '>=14.29.30139'
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-  optional: false
-- name: libuuid
-  version: 2.38.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
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-  optional: false
-- name: libwebp-base
-  version: 1.3.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.3.2-hd590300_0.conda
-  hash:
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-  category: main
-  optional: false
-- name: libwebp-base
-  version: 1.3.2
-  manager: conda
-  platform: win-64
-  dependencies:
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-    vc: '>=14.2,<15'
-    vc14_runtime: '>=14.29.30139'
-  url: https://conda.anaconda.org/conda-forge/win-64/libwebp-base-1.3.2-hcfcfb64_0.conda
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-  category: main
-  optional: false
-- name: libxcb
-  version: '1.15'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    pthread-stubs: ''
-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
-  hash:
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-  category: main
-  optional: false
-- name: libxcb
-  version: '1.15'
-  manager: conda
-  platform: win-64
-  dependencies:
-    m2w64-gcc-libs: ''
-    m2w64-gcc-libs-core: ''
-    pthread-stubs: ''
-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.15-hcd874cb_0.conda
-  hash:
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-  category: main
-  optional: false
-- name: libxcrypt
-  version: 4.4.36
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
-  hash:
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-- name: libxml2
-  version: 2.12.4
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    libiconv: '>=1.17,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    xz: '>=5.2.6,<6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.4-h232c23b_1.conda
-  hash:
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-  category: main
-  optional: false
-- name: libxml2
-  version: 2.12.4
-  manager: conda
-  platform: win-64
-  dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
-    ucrt: '>=10.0.20348.0'
-    vc: '>=14.2,<15'
-    vc14_runtime: '>=14.29.30139'
-  url: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.4-hc3477c8_1.conda
-  hash:
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-  category: main
-  optional: false
-- name: libzlib
-  version: 1.2.13
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda
-  hash:
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-  optional: false
-- name: libzlib
-  version: 1.2.13
-  manager: conda
-  platform: win-64
-  dependencies:
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-    vc: '>=14.2,<15'
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-  hash:
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-  category: main
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-- name: llvm-openmp
-  version: 17.0.6
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: llvmlite
-  version: 0.41.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libllvm14: '>=14.0.6,<14.1.0a0'
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-    libzlib: '>=1.2.13,<1.3.0a0'
-    python: '>=3.9,<3.10.0a0'
-    python_abi: 3.9.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.41.1-py39h174d805_0.conda
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-- name: llvmlite
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-  manager: conda
-  platform: win-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.41.1-py39hd28a505_0.conda
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-- name: locket
-  version: 1.0.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: locket
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-  manager: conda
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-  dependencies:
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-- name: m2w64-gcc-libgfortran
-  version: 5.3.0
-  manager: conda
-  platform: win-64
-  dependencies:
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-- name: m2w64-gcc-libs
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-  manager: conda
-  platform: win-64
-  dependencies:
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-    m2w64-gcc-libs-core: ''
-    m2w64-gmp: ''
-    m2w64-libwinpthread-git: ''
-    msys2-conda-epoch: '20160418'
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-- name: m2w64-gcc-libs-core
-  version: 5.3.0
-  manager: conda
-  platform: win-64
-  dependencies:
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-    m2w64-libwinpthread-git: ''
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-- name: m2w64-gmp
-  version: 6.1.0
-  manager: conda
-  platform: win-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gmp-6.1.0-2.tar.bz2
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-- name: m2w64-libwinpthread-git
-  version: 5.0.0.4634.697f757
-  manager: conda
-  platform: win-64
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-- name: pydantic-core
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-- name: pydantic-core
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-- name: pytz
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-- name: pytz
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-- name: scikit-learn
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-- name: scikit-learn
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-- name: simpeg-archive
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-  dependencies:
-    discretize: '*'
-    numpy: '>=1.7'
-    properties: '>=0.3.1b2'
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-  url: https://files.pythonhosted.org/packages/ce/bf/835bfe4f5b90a9484b5ab434d6b0295bc9c8cc44d4c30c8a70cad61855a3/simpeg_archive-0.11.0.dev6-py2.py3-none-any.whl
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-- name: simpeg-archive
-  version: 0.11.0.dev6
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-  dependencies:
-    discretize: '*'
-    numpy: '>=1.7'
-    properties: '>=0.3.1b2'
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-    scipy: '>=0.13'
-  url: https://files.pythonhosted.org/packages/ce/bf/835bfe4f5b90a9484b5ab434d6b0295bc9c8cc44d4c30c8a70cad61855a3/simpeg_archive-0.11.0.dev6-py2.py3-none-any.whl
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-- name: threadpoolctl
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-- name: tzdata
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diff --git a/pylintrc b/pylintrc
index 4b4cc90b9..79f69445a 100644
--- a/pylintrc
+++ b/pylintrc
@@ -83,7 +83,7 @@ persistent=yes
 
 # Minimum Python version to use for version dependent checks. Will default to
 # the version used to run pylint.
-py-version=3.9
+py-version=3.10
 
 # Discover python modules and packages in the file system subtree.
 recursive=no
diff --git a/pyproject.toml b/pyproject.toml
index 3a12dea3a..1087ff1cf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,22 +9,20 @@ packages = [
 ]
 
 [tool.poetry.dependencies]
-python = "^3.9, <3.11"
+python = "^3.10, <3.11"
 numpy = "~1.23.5" # also geoh5py, simpeg and geoana
 scipy = "~1.10.1"
 discretize = {version = "~0.10.0"}
 
 ## pip dependencies
-geoh5py = {version = "~0.9.0a1", source = "pypi", allow-prereleases = true}
+geoh5py = {version = "~0.9.0a2", source = "pypi", allow-prereleases = true}
 #geoh5py = {url = "https://github.com/MiraGeoscience/geoh5py/archive/refs/tags/v0.8.0-rc.2.zip#sha256="}
-octree-creation-app = {version = "~0.1.0a2", source = "pypi", allow-prereleases = true}
+octree-creation-app = {version = "~0.1.0a3", source = "pypi", allow-prereleases = true}
 #octree-creation-app = {url = "https://github.com/MiraGeoscience/octree-creation-app/archive/refs/heads/develop.zip#sha256="}
 #geoapps-utils = {url = "https://github.com/MiraGeoscience/geoapps-utils/archive/refs/heads/GEOPY-488.zip#sha256="}
-geoapps-utils = {version = "~0.3.0a1", source = "pypi", allow-prereleases = true}
-#simpeg-archive = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/feature/simpeg_archive.zip#sha256="}
-simpeg-archive = {version = "~0.11.0.dev6", source = "pypi", optional = true}
+geoapps-utils = {version = "~0.3.0a2", source = "pypi", allow-prereleases = true}
 #mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/release/v0.19.0.dev3+geoapps.0.11.0.zip#sha256=", optional = true}
-mira-simpeg = {version = "~0.19.0.dev4", source = "pypi", optional = true}
+mira-simpeg = {version = "~0.19.0.dev7", source = "pypi", optional = true}
 param-sweeps = {version = "~0.1.7a1", source = "pypi", allow-prereleases = true}
 #param-sweeps = {url = "https://github.com/MiraGeoscience/param-sweeps/archive/refs/heads/develop.zip#sha256="}
 
@@ -35,6 +33,7 @@ geoana = {version = "~0.4.0"}  # from simpeg
 h5py = "*" # from geoh5py
 mkl = {version = "2022.*"}  # from simpeg
 Pillow = "*" # from geoh5py
+pydantic = {version = "~2.5.2", optional = true}
 pydiso = {version = "~0.0.3", optional = true} # from simpeg
 pymatsolver = {version = "~0.2.0", optional = true} # from simpeg
 tqdm = {version = "^4.64.0", optional = true }
diff --git a/simpeg_drivers/components/data.py b/simpeg_drivers/components/data.py
index 32bfbee9d..3767b324b 100644
--- a/simpeg_drivers/components/data.py
+++ b/simpeg_drivers/components/data.py
@@ -4,8 +4,6 @@
 #
 #  All rights reserved
 
-# pylint: disable=W0221
-# pylint: disable=W0622
 
 from __future__ import annotations
 
@@ -23,14 +21,15 @@
 from SimPEG import maps
 from SimPEG.electromagnetics.static.utils.static_utils import geometric_factor
 
-from simpeg_drivers.components.factories import (
+from simpeg_drivers.utils.utils import create_nested_mesh, drape_2_tensor
+
+from .factories import (
     EntityFactory,
     SaveIterationGeoh5Factory,
     SimulationFactory,
     SurveyFactory,
 )
-from simpeg_drivers.components.locations import InversionLocations
-from simpeg_drivers.utils.utils import create_nested_mesh, drape_2_tensor
+from .locations import InversionLocations
 
 
 class InversionData(InversionLocations):
@@ -84,7 +83,6 @@ def __init__(self, workspace: Workspace, params: InversionBaseParams):
         self.radar: np.ndarray | None = None
         self.locations: np.ndarray | None = None
         self.mask: np.ndarray | None = None
-        self.global_map: np.ndarray | None = None
         self.indices: np.ndarray | None = None
         self.vector: bool | None = None
         self.n_blocks: int | None = None
@@ -110,12 +108,16 @@ def _initialize(self) -> None:
         self.offset, self.radar = self.params.offset()
         self.locations = super().get_locations(self.params.data_object)
 
-        if self.angle is not None and self.angle != 0:
-            raise ValueError("Mesh is rotated.")
-        self.mask = np.ones(len(self.locations), dtype=bool)
-        if self.radar is not None:
-            if any(np.isnan(self.radar)):
-                self.mask[np.isnan(self.radar)] = False
+        if (
+            getattr(self.params, "line_id", None) is not None
+            and getattr(self.params, "line_object", None) is not None
+        ):
+            self.mask = self.params.line_object.values == self.params.line_id
+        else:
+            self.mask = np.ones(len(self.locations), dtype=bool)
+
+        if self.radar is not None and any(np.isnan(self.radar)):
+            self.mask[np.isnan(self.radar)] = False
 
         self.observed = self.filter(self.observed)
         self.radar = self.filter(self.radar)
@@ -124,8 +126,8 @@ def _initialize(self) -> None:
         self.normalizations = self.get_normalizations()
         self.observed = self.normalize(self.observed)
         self.uncertainties = self.normalize(self.uncertainties, absolute=True)
-        self.locations = self.apply_transformations(self.locations)
         self.entity = self.write_entity()
+        self.params.data_object = self.entity
         self.locations = super().get_locations(self.entity)
         self.survey, self.local_index, _ = self.create_survey()
 
@@ -160,25 +162,8 @@ def drape_locations(self, locations: np.ndarray) -> np.ndarray:
 
     def filter(self, a):
         """Remove vertices based on mask property."""
-        if (
-            self.params.inversion_type
-            in [
-                "direct current pseudo 3d",
-                "direct current 3d",
-                "direct current 2d",
-                "induced polarization 3d",
-                "induced polarization 2d",
-                "induced polarization pseudo 3d",
-            ]
-            and self.indices is None
-        ):
-            ab_ind = np.where(np.any(self.mask[self.params.data_object.cells], axis=1))[
-                0
-            ]
-            self.indices = ab_ind
-
         if self.indices is None:
-            self.indices = np.where(self.mask)
+            self.indices = np.where(self.mask)[0]
 
         a = super().filter(a, mask=self.indices)
 
@@ -248,11 +233,10 @@ def save_data(self, entity):
         else:
             for component in data:
                 dnorm = data[component] / self.normalizations[None][component]
-                if "2d" in self.params.inversion_type:
-                    dnorm = self._embed_2d(dnorm)
                 data_dict[component] = entity.add_data(
                     {f"{basename}_{component}": {"values": dnorm}}
                 )
+
                 if not self.params.forward_only:
                     self._observed_data_types[component] = data_dict[
                         component
@@ -262,20 +246,14 @@ def save_data(self, entity):
                         / self.normalizations[None][component]
                     )
                     uncerts[np.isinf(uncerts)] = np.nan
-                    if "2d" in self.params.inversion_type:
-                        uncerts = self._embed_2d(uncerts)
+
                     uncert_dict[component] = entity.add_data(
                         {f"Uncertainties_{component}": {"values": uncerts}}
                     )
 
                 if "direct current" in self.params.inversion_type:
                     apparent_property = data[component].copy()
-                    apparent_property[self.global_map] *= self.transformations[
-                        "apparent resistivity"
-                    ]
-
-                    if "2d" in self.params.inversion_type:
-                        apparent_property = self._embed_2d(apparent_property)
+                    apparent_property *= self.transformations["apparent resistivity"]
 
                     data_dict["apparent_resistivity"] = entity.add_data(
                         {
@@ -296,8 +274,7 @@ def apply_transformations(self, locations: np.ndarray):
             locations = self.displace(locations, self.offset)
         if self.radar is not None:
             locations = self.drape(locations, self.radar)
-        if self.is_rotated:
-            locations = super().rotate(locations)
+
         return locations
 
     def displace(self, locs: np.ndarray, offset: np.ndarray) -> np.ndarray:
@@ -500,12 +477,6 @@ def observed_data_types(self):
         """
         return self._observed_data_types
 
-    def _embed_2d(self, data):
-        ind = np.ones_like(data, dtype=bool)
-        ind[self.global_map] = False
-        data[ind] = np.nan
-        return data
-
     @staticmethod
     def check_tensor(channels):
         tensor_components = ["xx", "xy", "xz", "yx", "zx", "yy", "zz", "zy", "yz"]
@@ -528,5 +499,7 @@ def update_params(self, data_dict, uncert_dict):
             setattr(self.params, f"{comp}_uncertainty", uncert_dict[comp])
 
         if getattr(self.params, "line_object", None) is not None:
-            new_line = self.params.line_object.copy(parent=self.entity)
+            new_line = self.params.line_object.copy(
+                parent=self.entity, values=self.params.line_object.values[self.mask]
+            )
             self.params.line_object = new_line
diff --git a/simpeg_drivers/components/factories/directives_factory.py b/simpeg_drivers/components/factories/directives_factory.py
index f9043592a..c23bfcc05 100644
--- a/simpeg_drivers/components/factories/directives_factory.py
+++ b/simpeg_drivers/components/factories/directives_factory.py
@@ -435,18 +435,9 @@ def assemble_data_keywords_dcip(
             "association": "CELL",
         }
 
-        if sorting is not None and "2d" not in self.factory_type:
+        if sorting is not None:
             kwargs["sorting"] = np.hstack(sorting)
 
-        if "2d" in self.factory_type:
-
-            def transform_2d(x):
-                expanded_data = np.array([np.nan] * len(inversion_object.indices))
-                expanded_data[inversion_object.global_map] = x[sorting]
-                return expanded_data
-
-            kwargs["transforms"].insert(0, transform_2d)
-
         if is_dc and name == "Apparent Resistivity":
             kwargs["transforms"].insert(
                 0,
diff --git a/simpeg_drivers/components/factories/entity_factory.py b/simpeg_drivers/components/factories/entity_factory.py
index 36a897f20..dda8da63b 100644
--- a/simpeg_drivers/components/factories/entity_factory.py
+++ b/simpeg_drivers/components/factories/entity_factory.py
@@ -14,7 +14,7 @@
     from simpeg_drivers.components.data import InversionData
 
 import numpy as np
-from geoh5py.objects import Curve, Grid2D
+from geoh5py.objects import CurrentElectrode, Curve, Grid2D, Points, PotentialElectrode
 
 from simpeg_drivers.components.factories.abstract_factory import AbstractFactory
 
@@ -33,13 +33,9 @@ def factory_type(self):
     def concrete_object(self):
         """Returns a geoh5py object to be constructed by the build method."""
         if "current" in self.factory_type or "polarization" in self.factory_type:
-            from geoh5py.objects import CurrentElectrode, PotentialElectrode
-
-            return (PotentialElectrode, CurrentElectrode)
+            return PotentialElectrode, CurrentElectrode
 
         elif isinstance(self.params.data_object, Grid2D):
-            from geoh5py.objects import Points
-
             return Points
 
         else:
@@ -48,48 +44,7 @@ def concrete_object(self):
     def build(self, inversion_data: InversionData):
         """Constructs geoh5py object for provided inversion type."""
 
-        if "current" in self.factory_type or "polarization" in self.factory_type:
-            entity = self._build_dcip(inversion_data)
-        else:
-            entity = self._build(inversion_data)
-
-        return entity
-
-    def _build_dcip(self, inversion_data: InversionData):
-        PotentialElectrode, CurrentElectrode = self.concrete_object
-        workspace = inversion_data.workspace
-
-        # Trim down receivers
-        rx_obj = self.params.data_object
-        rcv_ind = np.where(np.any(inversion_data.mask[rx_obj.cells], axis=1))[0]
-        rcv_locations, rcv_cells = EntityFactory._prune_from_indices(rx_obj, rcv_ind)
-        uni_src_ids, src_ids = np.unique(
-            rx_obj.ab_cell_id.values[rcv_ind], return_inverse=True
-        )
-        ab_cell_id = np.arange(1, uni_src_ids.shape[0] + 1)[src_ids]
-        entity = PotentialElectrode.create(
-            workspace,
-            name="Data",
-            parent=self.params.out_group,
-            vertices=inversion_data.apply_transformations(rcv_locations),
-            cells=rcv_cells,
-        )
-        entity.ab_cell_id = ab_cell_id
-        # Trim down sources
-        tx_obj = rx_obj.current_electrodes
-        src_ind = np.hstack(
-            [np.where(tx_obj.ab_cell_id.values == ind)[0] for ind in uni_src_ids]
-        )
-        src_locations, src_cells = EntityFactory._prune_from_indices(tx_obj, src_ind)
-        new_currents = CurrentElectrode.create(
-            workspace,
-            name="Data (currents)",
-            parent=self.params.out_group,
-            vertices=inversion_data.apply_transformations(src_locations),
-            cells=src_cells,
-        )
-        new_currents.add_default_ab_cell_id()
-        entity.current_electrodes = new_currents
+        entity = self._build(inversion_data)
 
         return entity
 
@@ -100,11 +55,27 @@ def _build(self, inversion_data: InversionData):
             )
 
         else:
-            entity = self.params.data_object.copy(
-                parent=self.params.out_group,
-                copy_children=False,
-                vertices=inversion_data.locations,
-            )
+            kwargs = {
+                "parent": self.params.out_group,
+                "copy_children": False,
+            }
+
+            if np.any(~inversion_data.mask):
+                if isinstance(self.params.data_object, PotentialElectrode):
+                    active_poles = np.zeros(
+                        self.params.data_object.n_vertices, dtype=bool
+                    )
+                    active_poles[
+                        self.params.data_object.cells[inversion_data.mask, :].ravel()
+                    ] = True
+                    kwargs.update(
+                        {"mask": active_poles, "cell_mask": inversion_data.mask}
+                    )
+                else:
+                    kwargs.update({"mask": inversion_data.mask})
+
+            entity = self.params.data_object.copy(**kwargs)
+            entity.vertices = inversion_data.apply_transformations(entity.vertices)
 
         if getattr(entity, "transmitters", None) is not None:
             entity.transmitters.vertices = inversion_data.apply_transformations(
@@ -114,11 +85,10 @@ def _build(self, inversion_data: InversionData):
             if tx_freq:
                 tx_freq[0].copy(parent=entity.transmitters)
 
-        if np.any(~inversion_data.mask):
-            entity.remove_vertices(~inversion_data.mask)
-
-            if getattr(entity, "transmitters", None) is not None:
-                entity.transmitters.remove_vertices(~inversion_data.mask)
+        if getattr(entity, "current_electrodes", None) is not None:
+            entity.current_electrodes.vertices = inversion_data.apply_transformations(
+                entity.current_electrodes.vertices
+            )
 
         return entity
 
diff --git a/simpeg_drivers/components/factories/misfit_factory.py b/simpeg_drivers/components/factories/misfit_factory.py
index 81a169e29..355183a5f 100644
--- a/simpeg_drivers/components/factories/misfit_factory.py
+++ b/simpeg_drivers/components/factories/misfit_factory.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
diff --git a/simpeg_drivers/components/factories/receiver_factory.py b/simpeg_drivers/components/factories/receiver_factory.py
index 8004f300e..03b36c496 100644
--- a/simpeg_drivers/components/factories/receiver_factory.py
+++ b/simpeg_drivers/components/factories/receiver_factory.py
@@ -84,13 +84,6 @@ def assemble_arguments(
 
         args = []
 
-        if getattr(self.params.mesh, "rotation", None):
-            locations = rotate_xyz(
-                locations,
-                self.params.mesh.origin.tolist(),
-                -1 * self.params.mesh.rotation[0],
-            )
-
         if (
             "direct current" in self.factory_type
             or "induced polarization" in self.factory_type
diff --git a/simpeg_drivers/components/factories/survey_factory.py b/simpeg_drivers/components/factories/survey_factory.py
index 710c6f357..ef5300544 100644
--- a/simpeg_drivers/components/factories/survey_factory.py
+++ b/simpeg_drivers/components/factories/survey_factory.py
@@ -21,7 +21,6 @@
 from simpeg_drivers.components.factories.receiver_factory import ReceiversFactory
 from simpeg_drivers.components.factories.simpeg_factory import SimPEGFactory
 from simpeg_drivers.components.factories.source_factory import SourcesFactory
-from simpeg_drivers.utils.surveys import extract_dcip_survey
 
 
 def receiver_group(txi, potential_electrodes):
@@ -225,12 +224,7 @@ def _add_data(self, survey, data, local_index, channel):
             survey.std = uncertainty_vec
 
         else:
-            index_map = (
-                data.global_map[local_index]
-                if data.global_map is not None
-                else local_index
-            )
-            local_data = {k: v[index_map] for k, v in data.observed.items()}
+            local_data = {k: v[local_index] for k, v in data.observed.items()}
             local_uncertainties = {
                 k: v[local_index] for k, v in data.uncertainties.items()
             }
@@ -272,16 +266,7 @@ def _dcip_arguments(self, data=None, local_index=None):
 
         receiver_entity = data.entity
         if "2d" in self.factory_type:
-            receiver_entity = extract_dcip_survey(
-                self.params.geoh5,
-                receiver_entity,
-                self.params.line_object.values,
-                self.params.line_id,
-            )
             self.local_index = np.arange(receiver_entity.n_cells)
-            data.global_map = [
-                k for k in receiver_entity.children if k.name == "Global Map"
-            ][0].values
 
         source_ids, order = np.unique(
             receiver_entity.ab_cell_id.values[self.local_index], return_index=True
@@ -289,14 +274,10 @@ def _dcip_arguments(self, data=None, local_index=None):
         currents = receiver_entity.current_electrodes
 
         if "2d" in self.params.inversion_type:
-            receiver_locations = receiver_entity.vertices
-            source_locations = currents.vertices
-            if local_index is not None:
-                receiver_locations = data.drape_locations(receiver_locations)
-                source_locations = data.drape_locations(source_locations)
-
+            receiver_locations = data.drape_locations(receiver_entity.vertices)
+            source_locations = data.drape_locations(currents.vertices)
         else:
-            receiver_locations = data.locations
+            receiver_locations = receiver_entity.vertices
             source_locations = currents.vertices
 
         # TODO hook up tile_spatial to handle local_index handling
@@ -330,11 +311,6 @@ def _dcip_arguments(self, data=None, local_index=None):
 
         self.local_index = np.hstack(self.local_index)
 
-        if "2d" in self.factory_type:
-            current_entity = receiver_entity.current_electrodes
-            self.params.geoh5.remove_entity(receiver_entity)
-            self.params.geoh5.remove_entity(current_entity)
-
         return [sources]
 
     def _tdem_arguments(self, data=None, local_index=None, mesh=None):
diff --git a/simpeg_drivers/components/locations.py b/simpeg_drivers/components/locations.py
index ae94c3b69..3cf2134c4 100644
--- a/simpeg_drivers/components/locations.py
+++ b/simpeg_drivers/components/locations.py
@@ -14,9 +14,8 @@
     from simpeg_drivers.params import InversionBaseParams
 
 import numpy as np
-from geoapps_utils.locations import get_locations
-from geoapps_utils.transformations import rotate_xyz
-from geoh5py.objects import Points
+from geoh5py.objects import ObjectBase, Points
+from geoh5py.objects.surveys.direct_current import BaseElectrode
 from geoh5py.shared import Entity
 from scipy.interpolate import LinearNDInterpolator
 from scipy.spatial import cKDTree
@@ -30,12 +29,6 @@ class InversionLocations:
     ----------
     mask :
         Mask that stores cumulative filtering actions.
-    origin :
-        Rotation origin.
-    angle :
-        Rotation angle.
-    is_rotated :
-        True if locations have been rotated.
     locations :
         xyz locations.
 
@@ -45,8 +38,6 @@ class InversionLocations:
         Returns locations of data object centroids or vertices.
     filter() :
         Apply accumulated self.mask to array, or dict of arrays.
-    rotate() :
-        Un-rotate data using origin and angle assigned to inversion mesh.
 
     """
 
@@ -57,17 +48,8 @@ def __init__(self, workspace: Workspace, params: InversionBaseParams):
         """
         self.workspace = workspace
         self._params: InversionBaseParams = params
-        self.mask: np.ndarray = None
-        self.origin: list[float] = None
-        self.angle: float = None
-        self.is_rotated: bool = False
-        self.locations: np.ndarray = None
-
-        if params.mesh is not None:
-            if hasattr(params.mesh, "rotation"):
-                self.origin = np.asarray(params.mesh.origin.tolist())
-                self.angle = -1 * params.mesh.rotation
-                self.is_rotated = True if np.abs(self.angle) != 0 else False
+        self.mask: np.ndarray | None = None
+        self.locations: np.ndarray | None = None
 
     @property
     def mask(self):
@@ -88,13 +70,6 @@ def mask(self, v):
     def create_entity(self, name, locs: np.ndarray, geoh5_object=Points):
         """Create Data group and Points object with observed data."""
 
-        if self.is_rotated:
-            locs[:, :2] = rotate_xyz(
-                locs[:, :2],
-                self.origin,
-                -1 * self.angle,
-            )
-
         entity = geoh5_object.create(
             self.workspace,
             name=name,
@@ -104,25 +79,41 @@ def create_entity(self, name, locs: np.ndarray, geoh5_object=Points):
 
         return entity
 
-    def get_locations(self, obj) -> np.ndarray:
+    def get_locations(self, entity: ObjectBase) -> np.ndarray:
         """
-        Returns locations of data object centroids or vertices.
+        Returns entity's centroids or vertices.
 
-        :param uid: UUID of geoh5py object containing centroid or
-            vertex location data
+        If no location data is found on the provided entity, the method will
+        attempt to call itself on its parent.
+
+        :param workspace: Geoh5py Workspace entity.
+        :param entity: Object or uuid of entity containing centroid or
+            vertex location data.
 
         :return: Array shape(*, 3) of x, y, z location data
 
         """
+        if hasattr(entity, "centroids"):
+            locations = entity.centroids
+        elif hasattr(entity, "vertices"):
+            if isinstance(entity, BaseElectrode):
+                potentials = entity.potential_electrodes
+                locations = np.mean(
+                    [
+                        potentials.vertices[potentials.cells[:, 0], :],
+                        potentials.vertices[potentials.cells[:, 1], :],
+                    ],
+                    axis=0,
+                )
+            else:
+                locations = entity.vertices
 
-        locs = get_locations(self.workspace, obj)
-
-        if locs is None:
-            msg = f"Workspace object {obj} 'vertices' attribute is None."
+        else:
+            msg = f"Workspace object {entity} 'vertices' attribute is None."
             msg += " Object type should be Grid2D or point-like."
             raise (ValueError(msg))
 
-        return locs
+        return locations
 
     def _filter(self, a, mask):
         for k, v in a.items():
@@ -165,22 +156,6 @@ def filter(self, a: dict[str, np.ndarray] | np.ndarray, mask=None):
             else:
                 return a[mask]
 
-    def rotate(self, locs: np.ndarray) -> np.ndarray:
-        """
-        Rotate data using origin and angle assigned to inversion mesh.
-
-        Since rotation attribute is stored with a negative sign the applied
-        rotation will restore locations to an East-West, North-South orientation.
-
-        :param locs: Array of xyz locations.
-        """
-
-        if locs is None:
-            return None
-
-        xy = rotate_xyz(locs[:, :2], self.origin, self.angle)
-        return np.c_[xy, locs[:, 2]]
-
     def set_z_from_topo(self, locs: np.ndarray):
         """interpolate locations z data from topography."""
 
diff --git a/simpeg_drivers/components/preprocessing.py b/simpeg_drivers/components/preprocessing.py
deleted file mode 100644
index 4862d3823..000000000
--- a/simpeg_drivers/components/preprocessing.py
+++ /dev/null
@@ -1,367 +0,0 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
-#
-#  This file is part of simpeg_drivers package.
-#
-#  All rights reserved
-
-from __future__ import annotations
-
-import uuid
-
-import numpy as np
-from geoapps_utils.locations import get_locations
-from geoh5py import Workspace
-from geoh5py.data import Data, NumericData
-from geoh5py.objects import Grid2D, ObjectBase, Points, PotentialElectrode
-from geoh5py.shared.utils import is_uuid
-
-from simpeg_drivers.utils.utils import calculate_2D_trend, filter_xy
-
-
-# TODO replace with implementation in geoh5py v0.9.0
-def grid_to_points(grid2d: Grid2D) -> Points:
-    """"""
-    points = Points.create(
-        grid2d.workspace, vertices=grid2d.centroids, name=grid2d.name
-    )
-    for child in grid2d.children:
-        if isinstance(child, NumericData):
-            child.copy(parent=points, association="VERTEX")
-
-    return points
-
-
-def window_data(
-    data_object: ObjectBase,
-    components: list[str],
-    data_dict: dict,
-    workspace: Workspace,
-    window_azimuth: float,
-    window_center_x: float,
-    window_center_y: float,
-    window_width: float,
-    window_height: float,
-    resolution: float,
-) -> (ObjectBase, dict, np.ndarray):
-    """
-    Window, downsample, and rotate data_object. Update data_dict with new data uids.
-
-    :param data_object: Data object to be windowed.
-    :param components: List of active data components.
-    :param data_dict: Dictionary of data components and uncertainties.
-    :param workspace: Output workspace.
-    :param window_azimuth: Azimuth of the window.
-    :param window_center_x: X center of the window.
-    :param window_center_y: Y center of the window.
-    :param window_width: Width of the window.
-    :param window_height: Height of the window.
-    :param resolution: Resolution for downsampling.
-
-    :return: Windowed data object.
-    :return: Updated data dict.
-    :return: Vertices or centroids of the windowed data object.
-    """
-
-    if not isinstance(data_object, ObjectBase):
-        raise TypeError(
-            f"'data_object' must be an {ObjectBase}, found '{type(data_object)}' instead."
-        )
-
-    if isinstance(data_object, Grid2D):
-        data_object = grid_to_points(data_object)
-
-    # Get locations
-    locations = get_locations(workspace, data_object)
-
-    # Get window
-    window = {
-        "azimuth": window_azimuth,
-        "center_x": window_center_x,
-        "center_y": window_center_y,
-        "width": window_width,
-        "height": window_height,
-        "center": [
-            window_center_x,
-            window_center_y,
-        ],
-        "size": [window_width, window_height],
-    }
-
-    # Get mask
-    mask = filter_xy(
-        locations[:, 0],
-        locations[:, 1],
-        window=window,
-        distance=resolution,
-    )
-
-    new_data_object = data_object.copy(
-        parent=data_object.workspace,
-        copy_children=True,
-        clear_cache=False,
-        mask=mask,
-        name=data_object.name + "_processed",
-    )
-
-    if (
-        not isinstance(data_object, PotentialElectrode)
-        and getattr(data_object, "parts", None) is not None
-    ):
-        new_data_object.parts = data_object.parts[mask]
-
-    # Update data dict
-    for comp in components:
-        data_dict[comp + "_channel"]["values"] = new_data_object.get_entity(
-            data_dict[comp + "_channel"]["name"]
-        )[0].values
-        if comp + "_uncertainty" in data_dict:
-            data_dict[comp + "_uncertainty"]["values"] = new_data_object.get_entity(
-                data_dict[comp + "_uncertainty"]["name"]
-            )[0].values
-
-    # Get new locations
-    if hasattr(new_data_object, "centroids"):
-        locations = new_data_object.centroids
-    elif hasattr(new_data_object, "vertices"):
-        locations = new_data_object.vertices
-
-    return new_data_object, data_dict, locations
-
-
-def detrend_data(
-    detrend_type: str,
-    detrend_order: int,
-    components: list[str],
-    data_dict: dict,
-    locations: np.ndarray,
-) -> dict:
-    """
-    Detrend data in data_dict.
-
-    :param detrend_type: Method to be used for the detrending.
-        "all": Use all points.
-        "perimeter": Only use points on the convex hull .
-    :param detrend_order: Order of the polynomial to be used.
-    :param components: List of active data components.
-    :param data_dict: Dictionary of data components and uncertainties.
-    :param locations: Vertices of the data object.
-
-    :return: Updated data_dict with detrended data values.
-    """
-    if detrend_type == "none" or detrend_type is None or detrend_order is None:
-        return data_dict
-
-    for comp in components:
-        data = data_dict[comp + "_channel"]
-        # Get data trend
-        values = data["values"]
-        data_trend, _ = calculate_2D_trend(
-            locations,
-            values,
-            detrend_order,
-            detrend_type,
-        )
-        # Update data values and add to object
-        data["values"] -= data_trend
-    return data_dict
-
-
-def set_infinity_uncertainties(
-    ignore_values: str,
-    forward_only: bool,
-    components: list[str],
-    data_dict: dict,
-) -> dict:
-    """
-    Use ignore_value ignore_type to set uncertainties to infinity.
-
-    :param ignore_values: Values to be set to infinity.
-    :param forward_only: Forward inversion only.
-    :param components: List of active data components.
-    :param data_dict: Dictionary of data components and uncertainties.
-
-    :return: Updated data_dict with uncertainties set to infinity.
-    """
-    ignore_value, ignore_type = parse_ignore_values(ignore_values, forward_only)
-
-    for comp in components:
-        if comp + "_uncertainty" not in data_dict:
-            continue
-        data = data_dict[comp + "_channel"]["values"]
-        uncertainty = data_dict[comp + "_uncertainty"]["values"]
-        uncertainty[np.isnan(data)] = np.inf
-
-        if ignore_value is None:
-            continue
-        elif ignore_type == "<":
-            uncertainty[data <= ignore_value] = np.inf
-        elif ignore_type == ">":
-            uncertainty[data >= ignore_value] = np.inf
-        elif ignore_type == "=":
-            uncertainty[data == ignore_value] = np.inf
-        else:
-            msg = f"Unrecognized ignore type: {ignore_type}."
-            raise (ValueError(msg))
-
-        data_dict[comp + "_uncertainty"]["values"] = uncertainty
-
-    return data_dict
-
-
-def parse_ignore_values(ignore_values: str, forward_only: bool) -> tuple[float, str]:
-    """
-    Returns an ignore value and type ('<', '>', or '=') from params data.
-
-    :param ignore_values: Values to be ignored.
-    :param forward_only: Forward inversion only.
-
-    :return: Float value to be ignored.
-    :return: Ignore type ('<', '>', or '=').
-    """
-    if forward_only:
-        return None, None
-
-    if ignore_values is None:
-        return None, None
-    ignore_type = [k for k in ignore_values if k in ["<", ">"]]
-    ignore_type = "=" if not ignore_type else ignore_type[0]
-    if ignore_type in ["<", ">"]:
-        ignore_value = float(ignore_values.split(ignore_type)[1])
-    else:
-        try:
-            ignore_value = float(ignore_values)
-        except ValueError:
-            return None, None
-
-    return ignore_value, ignore_type
-
-
-def get_data_dict(workspace: Workspace, param_dict: dict) -> (list[str], dict):
-    """
-    Get dictionary of active components from param_dict.
-
-    :param workspace: Workspace that the data belong to.
-    :param param_dict: Dictionary of params to run the inversion.
-
-    :return: List of active components.
-    :return: Dictionary of active channels and uncertainties.
-    """
-    # Get components
-    components = []
-    data_dict = {}
-    for key, value in param_dict.items():
-        if key.endswith("_channel_bool") and value:
-            comp = key.replace("_channel_bool", "")
-            components.append(comp)
-
-            # Add data to data dict
-            data = param_dict[comp + "_channel"]
-            data_dict[comp + "_channel"] = {
-                "name": data.name,
-            }
-
-            # Add uncertainties to data dict
-            if comp + "_uncertainty" in param_dict:
-                unc = param_dict[comp + "_uncertainty"]
-                if isinstance(unc, Data):
-                    data_dict[comp + "_uncertainty"] = {
-                        "name": param_dict[comp + "_uncertainty"].name,
-                    }
-                elif is_uuid(unc):
-                    data_dict[comp + "_uncertainty"] = {
-                        "name": workspace.get_entity(uuid.UUID(unc))[0].name,
-                    }
-
-    return components, data_dict
-
-
-def preprocess_data(
-    workspace: Workspace,
-    param_dict: dict,
-    data_object: ObjectBase,
-    resolution: float | None,
-    window_center_x: float,
-    window_center_y: float,
-    window_width: float,
-    window_height: float,
-    window_azimuth: float | None = None,
-    ignore_values: str | None = None,
-    detrend_type: str | None = None,
-    detrend_order: int | None = None,
-    components: list | None = None,
-    data_dict: dict | None = None,
-) -> dict:
-    """
-    Window, detrend, and ignore values in data_object. Update data_dict with new data uids.
-
-    :param workspace: Parent workspace for data_object and data components.
-    :param param_dict: Dictionary of params to run the inversion.
-    :param data_object: Parent object for data components.
-    :param resolution: Resolution for downsampling.
-    :param window_center_x: X center of the window.
-    :param window_center_y: Y center of the window.
-    :param window_width: Width of the window.
-    :param window_height: Height of the window.
-    :param window_azimuth: Azimuth of the window.
-    :param ignore_values: Values to be ignored.
-    :param detrend_type: Method to be used for the detrending.
-    :param detrend_order: Order of the polynomial to be used for detrend.
-    :param components: List of active data components.
-    :param data_dict: Dictionary of data components and uncertainties.
-
-    :return: Updated data_dict with processed data.
-    """
-    if data_dict is None:
-        components, data_dict = get_data_dict(workspace, param_dict)
-
-    # Windowing
-    new_data_object, data_dict, locations = window_data(
-        data_object,
-        components,
-        data_dict,
-        workspace,
-        window_azimuth,
-        window_center_x,
-        window_center_y,
-        window_width,
-        window_height,
-        resolution,
-    )
-
-    # Ignore values
-    if ignore_values is not None:
-        data_dict = set_infinity_uncertainties(
-            ignore_values,
-            param_dict["forward_only"],
-            components,
-            data_dict,
-        )
-    # Detrending
-    if detrend_type is not None and detrend_order is not None:
-        data_dict = detrend_data(
-            detrend_type,
-            detrend_order,
-            components,
-            data_dict,
-            locations,
-        )
-
-    # Add processed data to data object
-    update_dict = {}
-    update_dict["data_object"] = new_data_object.uid
-    for comp in components:
-        for key in [comp + "_channel", comp + "_uncertainty"]:
-            if key not in data_dict.keys():
-                continue
-            data = data_dict[key]
-            if key in data_dict.keys():
-                update_dict[key] = new_data_object.get_entity(data["name"])[0].uid
-    # Update update_dict with new radar uid
-    if "receivers_radar_drape" in param_dict:
-        radar = param_dict["receivers_radar_drape"]
-        if radar is not None:
-            update_dict["receivers_radar_drape"] = new_data_object.get_entity(
-                radar.name
-            )[0].uid
-
-    return update_dict
diff --git a/simpeg_drivers/components/topography.py b/simpeg_drivers/components/topography.py
index 2718c0a1e..f39018abe 100644
--- a/simpeg_drivers/components/topography.py
+++ b/simpeg_drivers/components/topography.py
@@ -16,12 +16,18 @@
 import warnings
 
 import numpy as np
+from discretize import TreeMesh
+from geoh5py.objects.surveys.electromagnetics.base import LargeLoopGroundEMSurvey
 from geoh5py.shared import Entity
 
 from simpeg_drivers.components.data import InversionData
 from simpeg_drivers.components.locations import InversionLocations
-from simpeg_drivers.components.utils import get_containing_cells
-from simpeg_drivers.utils.utils import active_from_xyz, filter_xy, floating_active
+from simpeg_drivers.utils.utils import (
+    active_from_xyz,
+    floating_active,
+    get_containing_cells,
+    get_neighbouring_cells,
+)
 
 
 class InversionTopography(InversionLocations):
@@ -54,21 +60,11 @@ def __init__(
         """
         super().__init__(workspace, params)
         self.locations: np.ndarray | None = None
-        self.mask: np.ndarray | None = None
+
         self._initialize()
 
     def _initialize(self):
         self.locations = self.get_locations(self.params.topography_object)
-        self.mask = filter_xy(
-            self.locations[:, 0],
-            self.locations[:, 1],
-            angle=self.angle,
-        )
-
-        self.locations = super().filter(self.locations)
-
-        if self.is_rotated:
-            self.locations = super().rotate(self.locations)
 
     def active_cells(self, mesh: InversionMesh, data: InversionData) -> np.ndarray:
         """
@@ -78,35 +74,29 @@ def active_cells(self, mesh: InversionMesh, data: InversionData) -> np.ndarray:
         :return: active_cells: Mask that restricts a model to the set of
             earth cells that are active in the inversion (beneath topography).
         """
-        forced_to_surface = [
+        forced_to_surface = self.params.inversion_type in [
             "magnetotellurics",
             "direct current 3d",
             "direct current 2d",
             "induced polarization 3d",
             "induced polarization 2d",
-        ]
-        if self.params.inversion_type in forced_to_surface:
-            active_cells = active_from_xyz(
-                mesh.entity, self.locations, grid_reference="bottom"
-            )
-            active_cells = active_cells[np.argsort(mesh.permutation)]
-
-            print(
-                "Adjusting active cells so that receivers are all within an active cell . . ."
-            )
-            active_cells[get_containing_cells(mesh.mesh, data)] = True
+        ] or isinstance(data.entity, LargeLoopGroundEMSurvey)
+        active_cells = active_from_xyz(
+            mesh.entity,
+            self.locations,
+            grid_reference="bottom" if forced_to_surface else "center",
+        )
+        active_cells = active_cells[np.argsort(mesh.permutation)]
+
+        if forced_to_surface:
+            active_cells = self.expand_actives(active_cells, mesh, data)
 
             if floating_active(mesh.mesh, active_cells):
                 warnings.warn(
-                    "Active cell adjustment has created a patch of active cells in the air, likely due to a faulty survey location."
+                    "Active cell adjustment has created a patch of active cells in the air, "
+                    "likely due to a faulty survey location."
                 )
 
-        else:
-            active_cells = active_from_xyz(
-                mesh.entity, self.locations, grid_reference="center"
-            )
-            active_cells = active_cells[np.argsort(mesh.permutation)]
-
         return active_cells
 
     def get_locations(self, obj: Entity) -> np.ndarray:
@@ -134,3 +124,35 @@ def get_locations(self, obj: Entity) -> np.ndarray:
                 locs[:, 2] = elev
 
         return locs
+
+    def expand_actives(
+        self, active_cells: np.ndarray, mesh: InversionMesh, data: InversionData
+    ) -> np.ndarray:
+        """
+        Expand active cells to ensure receivers are within active cells.
+
+        :param active_cells: Mask that restricts a model to the set of
+        :param mesh: Inversion mesh.
+        :param data: Inversion data.
+
+        :return: active_cells: Mask that restricts a model to the set of
+        """
+        containing_cells = get_containing_cells(mesh.mesh, data)
+        active_cells[containing_cells] = True
+
+        # Apply extra active cells to ensure connectivity for tree meshes
+        if isinstance(mesh.mesh, TreeMesh):
+            neighbours = get_neighbouring_cells(mesh.mesh, containing_cells)
+            neighbours_xy = np.r_[neighbours[0] + neighbours[1]]
+
+            # Make sure the new actives are connected to the old actives
+            new_actives = ~active_cells[neighbours_xy]
+            if np.any(new_actives):
+                neighbours = get_neighbouring_cells(
+                    mesh.mesh, neighbours_xy[new_actives]
+                )
+                active_cells[np.r_[neighbours[2][0]]] = True  # z-axis neighbours
+
+            active_cells[neighbours_xy] = True  # xy-axis neighbours
+
+        return active_cells
diff --git a/simpeg_drivers/components/utils.py b/simpeg_drivers/components/utils.py
index 5e40c6a86..8d17c4f62 100644
--- a/simpeg_drivers/components/utils.py
+++ b/simpeg_drivers/components/utils.py
@@ -11,7 +11,6 @@
 from discretize import TensorMesh, TreeMesh
 
 from simpeg_drivers.components import InversionData
-from simpeg_drivers.utils.surveys import get_unique_locations
 
 
 def get_containing_cells(
@@ -29,10 +28,10 @@ def get_containing_cells(
         )
 
     elif isinstance(mesh, TensorMesh):
-        locations = data.drape_locations(get_unique_locations(data.survey))
+        locations = data.drape_locations(np.unique(data.locations, axis=0))
         xi = np.searchsorted(mesh.nodes_x, locations[:, 0]) - 1
         yi = np.searchsorted(mesh.nodes_y, locations[:, -1]) - 1
-        inds = xi + yi * mesh.shape_cells[0]
+        inds = xi * mesh.shape_cells[1] + yi
 
     else:
         raise TypeError("Mesh must be 'TreeMesh' or 'TensorMesh'")
diff --git a/simpeg_drivers/constants.py b/simpeg_drivers/constants.py
index 19bb73600..975d8238d 100644
--- a/simpeg_drivers/constants.py
+++ b/simpeg_drivers/constants.py
@@ -452,7 +452,7 @@
     "geoh5": None,
     "run_command": "simpeg_drivers.driver",
     "run_command_boolean": None,
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "version": simpeg_drivers.__version__,
 }
diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py
index 217992702..2ef398249 100644
--- a/simpeg_drivers/driver.py
+++ b/simpeg_drivers/driver.py
@@ -24,6 +24,7 @@
 from geoh5py.groups import SimPEGGroup
 from geoh5py.shared.utils import fetch_active_workspace
 from geoh5py.ui_json import InputFile
+from param_sweeps.driver import SweepParams
 from SimPEG import (
     directives,
     inverse_problem,
@@ -244,6 +245,19 @@ def out_group(self):
 
         return self._out_group
 
+    @property
+    def params(self) -> InversionBaseParams:
+        """Application parameters."""
+        return self._params
+
+    @params.setter
+    def params(self, val: (InversionBaseParams, SweepParams)):
+        if not isinstance(val, (InversionBaseParams, SweepParams)):
+            raise TypeError(
+                "Parameters must be of type 'InversionBaseParams' or 'SweepParams'."
+            )
+        self._params = val
+
     @property
     def regularization(self):
         if getattr(self, "_regularization", None) is None:
@@ -401,20 +415,9 @@ def get_regularization(self):
 
     def get_tiles(self):
         if "2d" in self.params.inversion_type:
-            tiles = [self.inversion_data.indices]
+            tiles = [np.arange(len(self.inversion_data.indices))]
         else:
             locations = self.inversion_data.locations
-
-            # Use mid-point between M-N electrodes
-            if self.params.inversion_type in [
-                "direct current 3d",
-                "induced polarization 3d",
-            ]:
-                cells = self.inversion_data.entity.cells
-                locations = (
-                    locations[cells[:, 0], :] + locations[cells[:, 1], :]
-                ) / 2.0
-
             tiles = tile_locations(
                 locations,
                 self.params.tile_spatial,
diff --git a/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/constants.py b/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/constants.py
index 31fe77b62..42bfd3ca0 100644
--- a/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/constants.py
+++ b/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/constants.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -26,7 +26,6 @@
     "topography": None,
     "data_object": None,
     "line_object": None,
-    "line_id": 1,
     "z_from_topo": False,
     "receivers_radar_drape": None,
     "receivers_offset_z": 0.0,
@@ -60,7 +59,6 @@
     "length_scale_z": 1.0,
     "s_norm": 0.0,
     "x_norm": 2.0,
-    "y_norm": 2.0,
     "z_norm": 2.0,
     "gradient_type": "total",
     "max_irls_iterations": 25,
@@ -88,7 +86,7 @@
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
     "run_command_boolean": False,
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "potential_channel_bool": True,
 }
@@ -103,7 +101,6 @@
     "topography": None,
     "data_object": None,
     "line_object": None,
-    "line_id": 1,
     "z_from_topo": False,
     "receivers_radar_drape": None,
     "receivers_offset_z": 0.0,
@@ -131,7 +128,7 @@
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
     "run_command_boolean": False,
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
@@ -140,7 +137,7 @@
     "icon": "PotentialElectrode",
     "inversion_type": "direct current pseudo 3d",
     "line_object": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Referenced",
         "group": "Data",
         "main": True,
@@ -148,7 +145,6 @@
         "parent": "data_object",
         "value": None,
     },
-    "line_id": 1,
     "data_object": {
         "main": True,
         "group": "Data",
@@ -158,7 +154,7 @@
     },
     "potential_channel_bool": True,
     "potential_channel": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
@@ -167,7 +163,7 @@
         "value": None,
     },
     "potential_uncertainty": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
@@ -317,13 +313,11 @@
     "potential_channel": UUID("{502e7256-aafa-4016-969f-5cc3a4f27315}"),
     "potential_uncertainty": UUID("{62746129-3d82-427e-a84c-78cded00c0bc}"),
     "line_object": UUID("{d400e8f1-8460-4609-b852-b3b93f945770}"),
-    "line_id": 1,
     "mesh": UUID("{da109284-aa8c-4824-a647-29951109b058}"),
     "starting_model": 1e-1,
     "reference_model": 1e-1,
     "s_norm": 0.0,
     "x_norm": 2.0,
-    "y_norm": 2.0,
     "z_norm": 2.0,
     "upper_bound": 100.0,
     "lower_bound": 1e-5,
diff --git a/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/driver.py b/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/driver.py
index d611355c6..1f3a02f97 100644
--- a/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/driver.py
+++ b/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/driver.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -6,19 +6,6 @@
 
 from __future__ import annotations
 
-import sys
-from copy import deepcopy
-from pathlib import Path
-
-import numpy as np
-from geoapps_utils.locations import get_locations
-from geoapps_utils.numerical import weighted_average
-from geoh5py.data import Data
-from geoh5py.workspace import Workspace
-
-from simpeg_drivers.components.data import InversionData
-from simpeg_drivers.components.topography import InversionTopography
-from simpeg_drivers.components.windows import InversionWindow
 from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.constants import (
     validations,
 )
@@ -28,127 +15,10 @@
 from simpeg_drivers.electricals.direct_current.two_dimensions.params import (
     DirectCurrent2DParams,
 )
-from simpeg_drivers.line_sweep.driver import LineSweepDriver
-from simpeg_drivers.utils.surveys import extract_dcip_survey
-from simpeg_drivers.utils.utils import get_drape_model
+from simpeg_drivers.electricals.driver import BasePseudo3DDriver
 
 
-class DirectCurrentPseudo3DDriver(LineSweepDriver):
+class DirectCurrentPseudo3DDriver(BasePseudo3DDriver):
     _params_class = DirectCurrentPseudo3DParams
+    _params_2d_class = DirectCurrent2DParams
     _validations = validations
-
-    def __init__(self, params: DirectCurrentPseudo3DParams):  # pylint: disable=W0235
-        super().__init__(params)
-        if params.files_only:
-            sys.exit("Files written")
-
-    @property
-    def params(self):
-        return self._params
-
-    @params.setter
-    def params(self, value):
-        self._params = value
-
-    def write_files(self, lookup):
-        """Write ui.geoh5 and ui.json files for sweep trials."""
-
-        forward_only = self.pseudo3d_params.forward_only
-        ifile = DirectCurrent2DParams(forward_only=forward_only).input_file
-
-        with self.workspace.open(mode="r+"):
-            self._window = InversionWindow(self.workspace, self.pseudo3d_params)
-            self._inversion_data = InversionData(self.workspace, self.pseudo3d_params)
-            self._inversion_topography = InversionTopography(
-                self.workspace, self.pseudo3d_params
-            )
-            xyz_in = get_locations(self.workspace, self.pseudo3d_params.mesh)
-            models = {"starting_model": self.pseudo3d_params.starting_model}
-            if not forward_only:
-                models.update(
-                    {
-                        "reference_model": self.pseudo3d_params.reference_model,
-                        "lower_bound": self.pseudo3d_params.lower_bound,
-                        "upper_bound": self.pseudo3d_params.upper_bound,
-                    }
-                )
-
-            for uuid, trial in lookup.items():
-                if trial["status"] != "pending":
-                    continue
-
-                filepath = Path(self.working_directory) / f"{uuid}.ui.geoh5"
-                with Workspace(filepath) as iter_workspace:
-                    receiver_entity = extract_dcip_survey(
-                        iter_workspace,
-                        self.inversion_data.entity,
-                        self.pseudo3d_params.line_object.values,
-                        trial["line_id"],
-                    )
-                    current_entity = receiver_entity.current_electrodes
-                    receiver_locs = np.vstack(
-                        [receiver_entity.vertices, current_entity.vertices]
-                    )
-
-                    mesh = get_drape_model(
-                        iter_workspace,
-                        "Models",
-                        receiver_locs,
-                        [
-                            self.pseudo3d_params.u_cell_size,
-                            self.pseudo3d_params.v_cell_size,
-                        ],
-                        self.pseudo3d_params.depth_core,
-                        [self.pseudo3d_params.horizontal_padding] * 2
-                        + [self.pseudo3d_params.vertical_padding, 1],
-                        self.pseudo3d_params.expansion_factor,
-                    )[0]
-
-                    iter_workspace.remove_entity(receiver_entity.current_electrodes)
-                    iter_workspace.remove_entity(receiver_entity)
-
-                    xyz_out = mesh.centroids
-                    model_uids = deepcopy(models)
-                    for name, model in models.items():
-                        if model is None:
-                            continue
-                        elif isinstance(model, Data):
-                            model_values = weighted_average(
-                                xyz_in, xyz_out, [model.values], n=1
-                            )[0]
-                        else:
-                            model_values = model * np.ones(len(xyz_out))
-
-                        model_object = mesh.add_data({name: {"values": model_values}})
-                        model_uids[name] = model_object.uid
-
-                    for key in ifile.data:
-                        param = getattr(self.pseudo3d_params, key, None)
-                        if key not in ["title", "inversion_type"]:
-                            ifile.data[key] = param
-
-                    self.pseudo3d_params.topography_object.copy(
-                        parent=iter_workspace, copy_children=True
-                    )
-                    self.pseudo3d_params.data_object.copy(
-                        parent=iter_workspace, copy_children=True
-                    )
-
-                    ifile.data.update(
-                        dict(
-                            **{
-                                "geoh5": iter_workspace,
-                                "mesh": mesh,
-                                "line_id": trial["line_id"],
-                                "out_group": None,
-                            },
-                            **model_uids,
-                        )
-                    )
-
-                ifile.name = f"{uuid}.ui.json"
-                ifile.path = self.working_directory  # pylint: disable=E1101
-                ifile.write_ui_json()
-                lookup[uuid]["status"] = "written"
-
-        _ = self.update_lookup(lookup)  # pylint: disable=E1101
diff --git a/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/params.py b/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/params.py
index 5d793fbe8..001f2ad5e 100644
--- a/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/params.py
+++ b/simpeg_drivers/electricals/direct_current/pseudo_three_dimensions/params.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -8,115 +8,34 @@
 
 from copy import deepcopy
 
-from simpeg_drivers import InversionBaseParams
 from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.constants import (
     default_ui_json,
     forward_defaults,
     inversion_defaults,
     validations,
 )
+from simpeg_drivers.electricals.params import BasePseudo3DParams
 
 
-class DirectCurrentPseudo3DParams(InversionBaseParams):
+class DirectCurrentPseudo3DParams(BasePseudo3DParams):
     """
     Parameter class for electrical->conductivity inversion.
     """
 
     _physical_property = "conductivity"
+    _inversion_type = "direct current 3d"
 
     def __init__(self, input_file=None, forward_only=False, **kwargs):
         self._default_ui_json = deepcopy(default_ui_json)
         self._forward_defaults = deepcopy(forward_defaults)
         self._inversion_defaults = deepcopy(inversion_defaults)
-        self._inversion_type = "direct current 3d"
         self._validations = validations
         self._potential_channel_bool = None
         self._potential_channel = None
         self._potential_uncertainty = None
-        self._line_object = None
-        self._u_cell_size: float = (25.0,)
-        self._v_cell_size: float = (25.0,)
-        self._depth_core: float = (500.0,)
-        self._horizontal_padding: float = (1000.0,)
-        self._vertical_padding: float = (1000.0,)
-        self._expansion_factor: float = (1.3,)
-        self._files_only = None
-        self._cleanup = None
 
         super().__init__(input_file=input_file, forward_only=forward_only, **kwargs)
 
-    @property
-    def u_cell_size(self):
-        return self._u_cell_size
-
-    @u_cell_size.setter
-    def u_cell_size(self, value):
-        self.setter_validator("u_cell_size", value)
-
-    @property
-    def v_cell_size(self):
-        return self._v_cell_size
-
-    @v_cell_size.setter
-    def v_cell_size(self, value):
-        self.setter_validator("v_cell_size", value)
-
-    @property
-    def depth_core(self):
-        return self._depth_core
-
-    @depth_core.setter
-    def depth_core(self, value):
-        self.setter_validator("depth_core", value)
-
-    @property
-    def horizontal_padding(self):
-        return self._horizontal_padding
-
-    @horizontal_padding.setter
-    def horizontal_padding(self, value):
-        self.setter_validator("horizontal_padding", value)
-
-    @property
-    def vertical_padding(self):
-        return self._vertical_padding
-
-    @vertical_padding.setter
-    def vertical_padding(self, value):
-        self.setter_validator("vertical_padding", value)
-
-    @property
-    def expansion_factor(self):
-        return self._expansion_factor
-
-    @expansion_factor.setter
-    def expansion_factor(self, value):
-        self.setter_validator("expansion_factor", value)
-
-    @property
-    def inversion_type(self):
-        return self._inversion_type
-
-    @inversion_type.setter
-    def inversion_type(self, val):
-        self.setter_validator("inversion_type", val)
-
-    @property
-    def line_object(self):
-        return self._line_object
-
-    @line_object.setter
-    def line_object(self, val):
-        self._line_object = val
-
-    @property
-    def line_id(self):
-        return self._line_id
-
-    @line_id.setter
-    def line_id(self, val):
-        self._line_id = val
-
     @property
     def potential_channel_bool(self):
         return self._potential_channel_bool
@@ -140,19 +59,3 @@ def potential_uncertainty(self):
     @potential_uncertainty.setter
     def potential_uncertainty(self, val):
         self.setter_validator("potential_uncertainty", val, fun=self._uuid_promoter)
-
-    @property
-    def files_only(self):
-        return self._files_only
-
-    @files_only.setter
-    def files_only(self, val):
-        self.setter_validator("files_only", val)
-
-    @property
-    def cleanup(self):
-        return self._cleanup
-
-    @cleanup.setter
-    def cleanup(self, val):
-        self.setter_validator("cleanup", val)
diff --git a/simpeg_drivers/electricals/direct_current/three_dimensions/constants.py b/simpeg_drivers/electricals/direct_current/three_dimensions/constants.py
index 5c5419ba9..51be6a028 100644
--- a/simpeg_drivers/electricals/direct_current/three_dimensions/constants.py
+++ b/simpeg_drivers/electricals/direct_current/three_dimensions/constants.py
@@ -18,7 +18,7 @@
 inversion_defaults = {
     "version": simpeg_drivers.__version__,
     "title": "Direct Current (DC) 3D Inversion",
-    "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/dcip_inversion.html",
+    "documentation": "https://simpeg-drivers.readthedocs.io/en/stable/content/applications/dcip_inversion.html",
     "icon": "PotentialElectrode",
     "inversion_type": "direct current 3d",
     "geoh5": None,  # Must remain at top of list for notebook app initialization
@@ -79,7 +79,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "potential_channel_bool": True,
 }
@@ -112,7 +112,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/electricals/direct_current/two_dimensions/constants.py b/simpeg_drivers/electricals/direct_current/two_dimensions/constants.py
index d9736f657..553b0a433 100644
--- a/simpeg_drivers/electricals/direct_current/two_dimensions/constants.py
+++ b/simpeg_drivers/electricals/direct_current/two_dimensions/constants.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -84,7 +84,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "potential_channel_bool": True,
 }
@@ -124,7 +124,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "gradient_type": "total",
 }
@@ -134,7 +134,7 @@
     "icon": "PotentialElectrode",
     "inversion_type": "direct current 2d",
     "line_object": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Referenced",
         "group": "Data",
         "main": True,
@@ -165,7 +165,7 @@
     },
     "potential_channel_bool": True,
     "potential_channel": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
@@ -175,7 +175,7 @@
         "value": None,
     },
     "potential_uncertainty": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
diff --git a/simpeg_drivers/electricals/driver.py b/simpeg_drivers/electricals/driver.py
new file mode 100644
index 000000000..c9770603f
--- /dev/null
+++ b/simpeg_drivers/electricals/driver.py
@@ -0,0 +1,152 @@
+#  Copyright (c) 2024 Mira Geoscience Ltd.
+#
+#  This file is part of simpeg_drivers package.
+#
+#  All rights reserved
+
+from __future__ import annotations
+
+import sys
+import uuid
+from copy import deepcopy
+from pathlib import Path
+
+import numpy as np
+from geoapps_utils.locations import get_locations
+from geoapps_utils.numerical import weighted_average
+from geoh5py.data import Data
+from geoh5py.objects import DrapeModel
+from geoh5py.workspace import Workspace
+
+from simpeg_drivers.components.data import InversionData
+from simpeg_drivers.components.topography import InversionTopography
+from simpeg_drivers.components.windows import InversionWindow
+from simpeg_drivers.line_sweep.driver import LineSweepDriver
+from simpeg_drivers.params import BaseParams
+from simpeg_drivers.utils.surveys import extract_dcip_survey
+from simpeg_drivers.utils.utils import get_drape_model
+
+
+class BasePseudo3DDriver(LineSweepDriver):
+    _params_class: type(BaseParams)
+    _params_2d_class: type(BaseParams)
+    _validations: dict
+    _model_list: list[str] = []
+
+    def __init__(self, params):  # pylint: disable=useless_super_delegation
+        super().__init__(params)
+        if params.files_only:
+            sys.exit("Files written")
+
+    def transfer_models(self, mesh: DrapeModel) -> dict[str, uuid.UUID | float]:
+        """
+        Transfer models from the input parameters to the output drape mesh.
+
+        :param mesh: Destination DrapeModel object.
+        """
+        models = {"starting_model": self.pseudo3d_params.starting_model}
+
+        for model in self._model_list:
+            models[model] = getattr(self.pseudo3d_params, model)
+
+        if not self.pseudo3d_params.forward_only:
+            for model in ["reference_model", "lower_bound", "upper_bound"]:
+                models[model] = getattr(self.pseudo3d_params, model)
+
+        if self.pseudo3d_params.mesh is not None:
+            xyz_in = get_locations(self.workspace, self.pseudo3d_params.mesh)
+            xyz_out = mesh.centroids
+
+            for name, model in models.items():
+                if model is None:
+                    continue
+                elif isinstance(model, Data):
+                    model_values = weighted_average(
+                        xyz_in, xyz_out, [model.values], n=1
+                    )[0]
+                else:
+                    model_values = model * np.ones(len(xyz_out))
+
+                model_object = mesh.add_data({name: {"values": model_values}})
+                models[name] = model_object.uid
+
+        return models
+
+    def write_files(self, lookup):
+        """Write ui.geoh5 and ui.json files for sweep trials."""
+
+        forward_only = self.pseudo3d_params.forward_only
+        ifile = self._params_2d_class(forward_only=forward_only).input_file
+
+        with self.workspace.open(mode="r+"):
+            self._window = InversionWindow(self.workspace, self.pseudo3d_params)
+            self._inversion_data = InversionData(self.workspace, self.pseudo3d_params)
+            self._inversion_topography = InversionTopography(
+                self.workspace, self.pseudo3d_params
+            )
+
+            for uid, trial in lookup.items():
+                if trial["status"] != "pending":
+                    continue
+
+                filepath = Path(self.working_directory) / f"{uid}.ui.geoh5"
+                with Workspace(filepath) as iter_workspace:
+                    cell_mask: np.ndarray = (
+                        self.pseudo3d_params.line_object.values == trial["line_id"]
+                    )
+
+                    if not np.any(cell_mask):
+                        continue
+
+                    receiver_entity = extract_dcip_survey(
+                        iter_workspace, self.inversion_data.entity, cell_mask
+                    )
+                    current_entity = receiver_entity.current_electrodes
+                    receiver_locs = np.vstack(
+                        [receiver_entity.vertices, current_entity.vertices]
+                    )
+
+                    mesh = get_drape_model(
+                        iter_workspace,
+                        "Models",
+                        receiver_locs,
+                        [
+                            self.pseudo3d_params.u_cell_size,
+                            self.pseudo3d_params.v_cell_size,
+                        ],
+                        self.pseudo3d_params.depth_core,
+                        [self.pseudo3d_params.horizontal_padding] * 2
+                        + [self.pseudo3d_params.vertical_padding, 1],
+                        self.pseudo3d_params.expansion_factor,
+                    )[0]
+
+                    model_parameters = self.transfer_models(mesh)
+
+                    for key in ifile.data:
+                        param = getattr(self.pseudo3d_params, key, None)
+                        if key not in ["title", "inversion_type"]:
+                            ifile.data[key] = param
+
+                    self.pseudo3d_params.topography_object.copy(
+                        parent=iter_workspace, copy_children=True
+                    )
+
+                    ifile.data.update(
+                        dict(
+                            **{
+                                "geoh5": iter_workspace,
+                                "mesh": mesh,
+                                "data_object": receiver_entity,
+                                "line_id": trial["line_id"],
+                                "out_group": None,
+                            },
+                            **model_parameters,
+                        )
+                    )
+
+                ifile.name = f"{uid}.ui.json"
+                ifile.path = self.working_directory  # pylint: disable=no-member
+                ifile.write_ui_json()
+                lookup[uid]["status"] = "written"
+
+        _ = self.update_lookup(lookup)  # pylint: disable=no-member
diff --git a/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/constants.py b/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/constants.py
index 3a12dfd22..85479a0f2 100644
--- a/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/constants.py
+++ b/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/constants.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -26,7 +26,6 @@
     "topography": None,
     "data_object": None,
     "line_object": None,
-    "line_id": 1,
     "z_from_topo": False,
     "receivers_radar_drape": None,
     "receivers_offset_z": 0.0,
@@ -61,7 +60,6 @@
     "length_scale_z": 1.0,
     "s_norm": 0.0,
     "x_norm": 2.0,
-    "y_norm": 2.0,
     "z_norm": 2.0,
     "gradient_type": "total",
     "max_irls_iterations": 25,
@@ -89,7 +87,7 @@
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
     "run_command_boolean": False,
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "chargeability_channel_bool": True,
 }
@@ -104,7 +102,6 @@
     "topography": None,
     "data_object": None,
     "line_object": None,
-    "line_id": 1,
     "z_from_topo": False,
     "receivers_radar_drape": None,
     "receivers_offset_z": 0.0,
@@ -133,7 +130,7 @@
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
     "run_command_boolean": False,
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
@@ -142,7 +139,7 @@
     "icon": "PotentialElectrode",
     "inversion_type": "induced polarization pseudo 3d",
     "line_object": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Referenced",
         "group": "Data",
         "main": True,
@@ -150,7 +147,6 @@
         "parent": "data_object",
         "value": None,
     },
-    "line_id": 1,
     "data_object": {
         "main": True,
         "group": "Data",
@@ -160,7 +156,7 @@
     },
     "chargeability_channel_bool": True,
     "chargeability_channel": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
@@ -169,7 +165,7 @@
         "value": None,
     },
     "chargeability_uncertainty": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
@@ -330,13 +326,11 @@
     "chargeability_channel": UUID("{162320e6-2b80-4877-9ec1-a8f5b6a13673}"),
     "chargeability_uncertainty": 0.001,
     "line_object": UUID("{d400e8f1-8460-4609-b852-b3b93f945770}"),
-    "line_id": 1,
     "mesh": UUID("{da109284-aa8c-4824-a647-29951109b058}"),
     "starting_model": 1e-4,
     "conductivity_model": 0.1,
     "s_norm": 0.0,
     "x_norm": 2.0,
-    "y_norm": 2.0,
     "z_norm": 2.0,
     "upper_bound": 100.0,
     "lower_bound": 1e-5,
diff --git a/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/driver.py b/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/driver.py
index 2ff8e27f2..414ee2479 100644
--- a/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/driver.py
+++ b/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/driver.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -6,19 +6,7 @@
 
 from __future__ import annotations
 
-import sys
-from copy import deepcopy
-from pathlib import Path
-
-import numpy as np
-from geoapps_utils.locations import get_locations
-from geoapps_utils.numerical import weighted_average
-from geoh5py.data import Data
-from geoh5py.workspace import Workspace
-
-from simpeg_drivers.components.data import InversionData
-from simpeg_drivers.components.topography import InversionTopography
-from simpeg_drivers.components.windows import InversionWindow
+from simpeg_drivers.electricals.driver import BasePseudo3DDriver
 from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.constants import (
     validations,
 )
@@ -28,139 +16,10 @@
 from simpeg_drivers.electricals.induced_polarization.two_dimensions.params import (
     InducedPolarization2DParams,
 )
-from simpeg_drivers.line_sweep.driver import LineSweepDriver
-from simpeg_drivers.utils.surveys import extract_dcip_survey
-from simpeg_drivers.utils.utils import get_drape_model
 
 
-class InducedPolarizationPseudo3DDriver(LineSweepDriver):
+class InducedPolarizationPseudo3DDriver(BasePseudo3DDriver):
     _params_class = InducedPolarizationPseudo3DParams
+    _params_2d_class = InducedPolarization2DParams
     _validations = validations
-
-    def __init__(
-        self, params: InducedPolarizationPseudo3DParams
-    ):  # pylint: disable=W0235
-        super().__init__(params)
-        if params.files_only:
-            sys.exit("Files written")
-
-    @property
-    def params(self):
-        return self._params
-
-    @params.setter
-    def params(self, value):
-        self._params = value
-
-    def write_files(self, lookup: dict) -> None:
-        """
-        Write ui.geoh5 and ui.json files for sweep trials.
-
-        :param lookup: dictionary of trial hashes and trial
-            parameter values and status data.
-        """
-
-        forward_only = self.pseudo3d_params.forward_only
-        ifile = InducedPolarization2DParams(forward_only=forward_only).input_file
-
-        with self.workspace.open(mode="r+"):
-            self._window = InversionWindow(self.workspace, self.pseudo3d_params)
-            self._inversion_data = InversionData(self.workspace, self.pseudo3d_params)
-
-            self._inversion_topography = InversionTopography(
-                self.workspace, self.pseudo3d_params
-            )
-
-            xyz_in = get_locations(self.workspace, self.pseudo3d_params.mesh)
-            models = {
-                "starting_model": self.pseudo3d_params.starting_model,
-                "conductivity_model": self.pseudo3d_params.conductivity_model,
-            }
-            if not forward_only:
-                models.update(
-                    {
-                        "reference_model": self.pseudo3d_params.reference_model,
-                        "lower_bound": self.pseudo3d_params.lower_bound,
-                        "upper_bound": self.pseudo3d_params.upper_bound,
-                    }
-                )
-
-            for uuid, trial in lookup.items():
-                if trial["status"] != "pending":
-                    continue
-
-                filepath = Path(self.working_directory) / f"{uuid}.ui.geoh5"
-                with Workspace(filepath) as iter_workspace:
-                    receiver_entity = extract_dcip_survey(
-                        iter_workspace,
-                        self.inversion_data.entity,
-                        self.pseudo3d_params.line_object.values,
-                        trial["line_id"],
-                    )
-                    current_entity = receiver_entity.current_electrodes
-                    receiver_locs = np.vstack(
-                        [receiver_entity.vertices, current_entity.vertices]
-                    )
-
-                    mesh = get_drape_model(
-                        iter_workspace,
-                        "Models",
-                        receiver_locs,
-                        [
-                            self.pseudo3d_params.u_cell_size,
-                            self.pseudo3d_params.v_cell_size,
-                        ],
-                        self.pseudo3d_params.depth_core,
-                        [self.pseudo3d_params.horizontal_padding] * 2
-                        + [self.pseudo3d_params.vertical_padding, 1],
-                        self.pseudo3d_params.expansion_factor,
-                    )[0]
-
-                    iter_workspace.remove_entity(receiver_entity.current_electrodes)
-                    iter_workspace.remove_entity(receiver_entity)
-
-                    xyz_out = mesh.centroids
-                    model_uids = deepcopy(models)
-                    for name, model in models.items():
-                        if model is None:
-                            continue
-                        elif isinstance(model, Data):
-                            model_values = weighted_average(
-                                xyz_in, xyz_out, [model.values], n=1
-                            )[0]
-                        else:
-                            model_values = model * np.ones(len(xyz_out))
-
-                        model_object = mesh.add_data({name: {"values": model_values}})
-                        model_uids[name] = model_object.uid
-
-                    for key in ifile.data:
-                        param = getattr(self.pseudo3d_params, key, None)
-                        if key not in ["title", "inversion_type"]:
-                            ifile.data[key] = param
-
-                    self.pseudo3d_params.topography_object.copy(
-                        parent=iter_workspace, copy_children=True
-                    )
-                    self.pseudo3d_params.data_object.copy(
-                        parent=iter_workspace, copy_children=True
-                    )
-
-                    ifile.data.update(
-                        dict(
-                            **{
-                                "geoh5": iter_workspace,
-                                "mesh": mesh,
-                                "line_id": trial["line_id"],
-                                "out_group": None,
-                            },
-                            **model_uids,
-                        )
-                    )
-
-                ifile.name = f"{uuid}.ui.json"
-                ifile.path = self.working_directory  # pylint: disable=E1101
-                ifile.write_ui_json()
-                lookup[uuid]["status"] = "written"
-
-        _ = self.update_lookup(lookup)  # pylint: disable=E1101
+    _model_list = ["conductivity_model"]
diff --git a/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/params.py b/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/params.py
index b488d69ca..f2895c52e 100644
--- a/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/params.py
+++ b/simpeg_drivers/electricals/induced_polarization/pseudo_three_dimensions/params.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -8,87 +8,35 @@
 
 from copy import deepcopy
 
-from simpeg_drivers import InversionBaseParams
 from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.constants import (
     default_ui_json,
     forward_defaults,
     inversion_defaults,
     validations,
 )
+from simpeg_drivers.electricals.params import BasePseudo3DParams
 
 
-class InducedPolarizationPseudo3DParams(InversionBaseParams):
+class InducedPolarizationPseudo3DParams(BasePseudo3DParams):
     """
     Parameter class for electrical->chargeability inversion.
     """
 
     _physical_property = "chargeability"
+    _inversion_type = "induced polarization pseudo 3d"
 
     def __init__(self, input_file=None, forward_only=False, **kwargs):
         self._default_ui_json = deepcopy(default_ui_json)
         self._forward_defaults = deepcopy(forward_defaults)
         self._inversion_defaults = deepcopy(inversion_defaults)
-        self._inversion_type = "induced polarization pseudo 3d"
         self._validations = validations
-        self._potential_channel_bool = None
-        self._potential_channel = None
-        self._potential_uncertainty = None
-        self._u_cell_size: float = (25.0,)
-        self._v_cell_size: float = (25.0,)
-        self._depth_core: float = (500.0,)
-        self._horizontal_padding: float = (1000.0,)
-        self._vertical_padding: float = (1000.0,)
         self._conductivity_model: float | None = 1e-3
         self._chargeability_channel_bool: bool = True
         self._chargeability_channel = None
         self._chargeability_uncertainty = None
-        self._expansion_factor: float = (1.3,)
-        self._line_object = None
-        self._files_only = None
-        self._cleanup = None
 
         super().__init__(input_file=input_file, forward_only=forward_only, **kwargs)
 
-    @property
-    def u_cell_size(self):
-        return self._u_cell_size
-
-    @u_cell_size.setter
-    def u_cell_size(self, value):
-        self.setter_validator("u_cell_size", value)
-
-    @property
-    def v_cell_size(self):
-        return self._v_cell_size
-
-    @v_cell_size.setter
-    def v_cell_size(self, value):
-        self.setter_validator("v_cell_size", value)
-
-    @property
-    def depth_core(self):
-        return self._depth_core
-
-    @depth_core.setter
-    def depth_core(self, value):
-        self.setter_validator("depth_core", value)
-
-    @property
-    def horizontal_padding(self):
-        return self._horizontal_padding
-
-    @horizontal_padding.setter
-    def horizontal_padding(self, value):
-        self.setter_validator("horizontal_padding", value)
-
-    @property
-    def vertical_padding(self):
-        return self._vertical_padding
-
-    @vertical_padding.setter
-    def vertical_padding(self, value):
-        self.setter_validator("vertical_padding", value)
-
     @property
     def conductivity_model(self):
         return self._conductivity_model
@@ -120,75 +68,3 @@ def chargeability_uncertainty(self):
     @chargeability_uncertainty.setter
     def chargeability_uncertainty(self, value):
         self.setter_validator("chargeability_uncertainty", value)
-
-    @property
-    def expansion_factor(self):
-        return self._expansion_factor
-
-    @expansion_factor.setter
-    def expansion_factor(self, value):
-        self.setter_validator("expansion_factor", value)
-
-    @property
-    def inversion_type(self):
-        return self._inversion_type
-
-    @inversion_type.setter
-    def inversion_type(self, val):
-        self.setter_validator("inversion_type", val)
-
-    @property
-    def line_object(self):
-        return self._line_object
-
-    @line_object.setter
-    def line_object(self, val):
-        self._line_object = val
-
-    @property
-    def line_id(self):
-        return self._line_id
-
-    @line_id.setter
-    def line_id(self, val):
-        self._line_id = val
-
-    @property
-    def potential_channel_bool(self):
-        return self._potential_channel_bool
-
-    @potential_channel_bool.setter
-    def potential_channel_bool(self, val):
-        self.setter_validator("potential_channel_bool", val)
-
-    @property
-    def potential_channel(self):
-        return self._potential_channel
-
-    @potential_channel.setter
-    def potential_channel(self, val):
-        self.setter_validator("potential_channel", val, fun=self._uuid_promoter)
-
-    @property
-    def potential_uncertainty(self):
-        return self._potential_uncertainty
-
-    @potential_uncertainty.setter
-    def potential_uncertainty(self, val):
-        self.setter_validator("potential_uncertainty", val, fun=self._uuid_promoter)
-
-    @property
-    def files_only(self):
-        return self._files_only
-
-    @files_only.setter
-    def files_only(self, val):
-        self.setter_validator("files_only", val)
-
-    @property
-    def cleanup(self):
-        return self._cleanup
-
-    @cleanup.setter
-    def cleanup(self, val):
-        self.setter_validator("cleanup", val)
diff --git a/simpeg_drivers/electricals/induced_polarization/three_dimensions/constants.py b/simpeg_drivers/electricals/induced_polarization/three_dimensions/constants.py
index 7b26b5a9c..752cc7974 100644
--- a/simpeg_drivers/electricals/induced_polarization/three_dimensions/constants.py
+++ b/simpeg_drivers/electricals/induced_polarization/three_dimensions/constants.py
@@ -79,7 +79,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "chargeability_channel_bool": True,
 }
@@ -114,7 +114,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/electricals/induced_polarization/two_dimensions/constants.py b/simpeg_drivers/electricals/induced_polarization/two_dimensions/constants.py
index 32c3e0cbc..b9714af10 100644
--- a/simpeg_drivers/electricals/induced_polarization/two_dimensions/constants.py
+++ b/simpeg_drivers/electricals/induced_polarization/two_dimensions/constants.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -85,7 +85,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
     "chargeability_channel_bool": True,
 }
@@ -126,7 +126,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
@@ -135,7 +135,7 @@
     "icon": "PotentialElectrode",
     "inversion_type": "induced polarization 2d",
     "line_object": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Referenced",
         "group": "Data",
         "main": True,
@@ -166,7 +166,7 @@
     },
     "chargeability_channel_bool": True,
     "chargeability_channel": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
@@ -175,7 +175,7 @@
         "value": None,
     },
     "chargeability_uncertainty": {
-        "association": ["Cell", "Vertex"],
+        "association": "Cell",
         "dataType": "Float",
         "group": "Data",
         "main": True,
diff --git a/simpeg_drivers/electricals/params.py b/simpeg_drivers/electricals/params.py
index bce34778b..928e08d28 100644
--- a/simpeg_drivers/electricals/params.py
+++ b/simpeg_drivers/electricals/params.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -7,28 +7,19 @@
 from __future__ import annotations
 
 import numpy as np
+from geoh5py.data import Data, DataAssociationEnum
 
 from simpeg_drivers import InversionBaseParams
-from simpeg_drivers.utils.surveys import extract_dcip_survey
 from simpeg_drivers.utils.utils import get_drape_model
 
 
-class Base2DParams(InversionBaseParams):
+class Core2DParams(InversionBaseParams):
     """
-    Parameter class for electrical->induced polarization (IP) inversion.
+    Core parameter class for 2D electrical->conductivity inversion.
     """
 
-    _directive_list = [
-        "UpdateSensitivityWeights",
-        "Update_IRLS",
-        "BetaEstimate_ByEig",
-        "UpdatePreconditioner",
-        "SaveIterationsGeoH5",
-    ]
-
     def __init__(self, input_file=None, forward_only=False, **kwargs):
         self._line_object = None
-        self._line_id = None
         self._u_cell_size: float = 25.0
         self._v_cell_size: float = 25.0
         self._depth_core: float = 100.0
@@ -47,14 +38,8 @@ def line_object(self):
     def line_object(self, val):
         self._line_object = val
 
-    @property
-    def line_id(self):
-        """Line ID to invert."""
-        return self._line_id
-
-    @line_id.setter
-    def line_id(self, val):
-        self._line_id = val
+        if isinstance(val, Data) and val.association is not DataAssociationEnum.CELL:
+            raise ValueError("Line identifier must be associated with cells.")
 
     @property
     def u_cell_size(self):
@@ -110,20 +95,33 @@ def expansion_factor(self):
     def expansion_factor(self, value):
         self.setter_validator("expansion_factor", value)
 
+
+class Base2DParams(Core2DParams):
+    """
+    Parameter class for electrical->induced polarization (IP) inversion.
+    """
+
+    def __init__(self, input_file=None, forward_only=False, **kwargs):
+        self._line_id = None
+
+        super().__init__(input_file=input_file, forward_only=forward_only, **kwargs)
+
+    @property
+    def line_id(self):
+        """Line ID to invert."""
+        return self._line_id
+
+    @line_id.setter
+    def line_id(self, val):
+        self._line_id = val
+
     @property
     def mesh(self):
         if self._mesh is None and self.geoh5 is not None:
-            receiver_entity = extract_dcip_survey(
-                self.geoh5,
-                self.data_object,
-                self.line_object.values,
-                self.line_id,
-            )
-            current_entity = receiver_entity.current_electrodes
+            current_entity = self.data_object.current_electrodes
             receiver_locs = np.vstack(
-                [receiver_entity.vertices, current_entity.vertices]
+                [self.data_object.vertices, current_entity.vertices]
             )
-
             self._mesh = get_drape_model(
                 self.geoh5,
                 "Models",
@@ -143,10 +141,30 @@ def mesh(self):
     def mesh(self, val):
         self.setter_validator("mesh", val, fun=self._uuid_promoter)
 
+
+class BasePseudo3DParams(Core2DParams):
+    """
+    Base parameter class for pseudo electrical->conductivity inversion.
+    """
+
+    def __init__(self, input_file=None, forward_only=False, **kwargs):
+        self._files_only = None
+        self._cleanup = None
+
+        super().__init__(input_file=input_file, forward_only=forward_only, **kwargs)
+
     @property
-    def length_scale_y(self):
-        return None
+    def files_only(self):
+        return self._files_only
+
+    @files_only.setter
+    def files_only(self, val):
+        self.setter_validator("files_only", val)
 
     @property
-    def y_norm(self):
-        return None
+    def cleanup(self):
+        return self._cleanup
+
+    @cleanup.setter
+    def cleanup(self, val):
+        self.setter_validator("cleanup", val)
diff --git a/simpeg_drivers/electromagnetics/frequency_domain/constants.py b/simpeg_drivers/electromagnetics/frequency_domain/constants.py
index d1503ffe7..b05467d46 100644
--- a/simpeg_drivers/electromagnetics/frequency_domain/constants.py
+++ b/simpeg_drivers/electromagnetics/frequency_domain/constants.py
@@ -75,7 +75,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 forward_defaults = {
@@ -103,7 +103,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/electromagnetics/time_domain/constants.py b/simpeg_drivers/electromagnetics/time_domain/constants.py
index 1c4441f94..c39129ee2 100644
--- a/simpeg_drivers/electromagnetics/time_domain/constants.py
+++ b/simpeg_drivers/electromagnetics/time_domain/constants.py
@@ -78,7 +78,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 forward_defaults = {
@@ -108,7 +108,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 default_ui_json = {
diff --git a/simpeg_drivers/joint/joint_cross_gradient/constants.py b/simpeg_drivers/joint/joint_cross_gradient/constants.py
index c37865755..ea1f2b99b 100644
--- a/simpeg_drivers/joint/joint_cross_gradient/constants.py
+++ b/simpeg_drivers/joint/joint_cross_gradient/constants.py
@@ -67,7 +67,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 default_ui_json = {
diff --git a/simpeg_drivers/joint/joint_surveys/constants.py b/simpeg_drivers/joint/joint_surveys/constants.py
index 76b0052c0..db49b3885 100644
--- a/simpeg_drivers/joint/joint_surveys/constants.py
+++ b/simpeg_drivers/joint/joint_surveys/constants.py
@@ -70,7 +70,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/line_sweep/driver.py b/simpeg_drivers/line_sweep/driver.py
index 0d02eb56a..bfc444f0b 100644
--- a/simpeg_drivers/line_sweep/driver.py
+++ b/simpeg_drivers/line_sweep/driver.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -13,6 +13,7 @@
 import numpy as np
 from geoh5py.data import FilenameData
 from geoh5py.groups import SimPEGGroup
+from geoh5py.objects import DrapeModel, PotentialElectrode
 from geoh5py.shared.utils import fetch_active_workspace
 from geoh5py.ui_json import InputFile
 from geoh5py.workspace import Workspace
@@ -77,7 +78,7 @@ def setup_params(self):
         generate(
             ui_json_path,
             parameters=["line_id"],
-            update_values={"conda_environment": "geoapps"},
+            update_values={"conda_environment": "simpeg_drivers"},
         )
         ifile = InputFile.read_ui_json(
             h5_file_path.parent
@@ -114,19 +115,31 @@ def line_files(path: str | Path):
     def collect_results(self):
         path = Path(self.workspace.h5file).parent
         files = LineSweepDriver.line_files(str(path))
-        lines = np.unique(self.pseudo3d_params.line_object.values)
-        data_result = self.pseudo3d_params.data_object.copy(
-            parent=self.pseudo3d_params.out_group
-        )
-
+        line_ids = self.pseudo3d_params.line_object.values
         data = {}
         drape_models = []
-        for line in lines:
+        for line in np.unique(line_ids):
             with Workspace(f"{path / files[line]}.ui.geoh5") as ws:
-                survey = ws.get_entity("Data")[0]
-                data = self.collect_line_data(survey, data)
-
-                mesh = ws.get_entity("Models")[0]
+                out_group = [
+                    group for group in ws.groups if isinstance(group, SimPEGGroup)
+                ][0]
+                survey = [
+                    child
+                    for child in out_group.children
+                    if isinstance(child, PotentialElectrode)
+                ][0]
+                line_data = survey.get_entity(self.pseudo3d_params.line_object.name)
+
+                if not line_data:
+                    raise ValueError(f"Line {line} not found in {survey.name}")
+
+                line_indices = line_ids == line
+                data = self.collect_line_data(survey, line_indices, data)
+                mesh = [
+                    child
+                    for child in out_group.children
+                    if isinstance(child, DrapeModel)
+                ][0]
                 filedata = [
                     k for k in mesh.parent.children if isinstance(k, FilenameData)
                 ]
@@ -137,11 +150,11 @@ def collect_results(self):
                 )
                 for fdat in filedata:
                     fdat.copy(parent=local_simpeg_group)
+
                 mesh = mesh.copy(parent=local_simpeg_group)
-                mesh.name = "models"
                 drape_models.append(mesh)
 
-        data_result.add_data(data)
+        self.pseudo3d_params.data_object.add_data(data)
 
         if self.pseudo3d_params.mesh is None:
             return
@@ -184,16 +197,16 @@ def collect_results(self):
 
         octree_model.copy(parent=self.pseudo3d_params.out_group)
 
-    def collect_line_data(self, survey, data):
+    def collect_line_data(self, survey, line_indices, data):
+        """
+        Fill chunks of values from one line
+        """
         for child in survey.children:  # initialize data values dictionary
             if "Iteration" in child.name and child.name not in data:
-                data[child.name] = {"values": np.zeros(survey.n_cells)}
+                data[child.name] = {"values": np.zeros_like(line_indices) * np.nan}
 
-        ind = None
-        for child in survey.children:  # fill a chunk of values from one line
+        for child in survey.children:
             if "Iteration" in child.name:
-                if ind is None:
-                    ind = ~np.isnan(child.values)
-                data[child.name]["values"][ind] = child.values[ind]
+                data[child.name]["values"][line_indices] = child.values
 
         return data
diff --git a/simpeg_drivers/natural_sources/magnetotellurics/constants.py b/simpeg_drivers/natural_sources/magnetotellurics/constants.py
index c8ad822c6..bb1e0481f 100644
--- a/simpeg_drivers/natural_sources/magnetotellurics/constants.py
+++ b/simpeg_drivers/natural_sources/magnetotellurics/constants.py
@@ -95,7 +95,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 forward_defaults = {
@@ -134,7 +134,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/natural_sources/tipper/constants.py b/simpeg_drivers/natural_sources/tipper/constants.py
index 6a2fb4d39..14f62d657 100644
--- a/simpeg_drivers/natural_sources/tipper/constants.py
+++ b/simpeg_drivers/natural_sources/tipper/constants.py
@@ -83,7 +83,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 forward_defaults = {
@@ -118,7 +118,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/params.py b/simpeg_drivers/params.py
index 953b333cc..c2be5e747 100644
--- a/simpeg_drivers/params.py
+++ b/simpeg_drivers/params.py
@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
 #  This file is part of simpeg_drivers package.
 #
@@ -13,6 +13,7 @@
 from geoapps_utils.driver.params import BaseParams
 from geoh5py.data import NumericData
 from geoh5py.groups import SimPEGGroup
+from geoh5py.objects import Octree
 from geoh5py.shared.utils import fetch_active_workspace
 from geoh5py.ui_json import InputFile
 
@@ -32,7 +33,6 @@ def __init__(
         self,
         input_file: InputFile | None = None,
         forward_only: bool = False,
-        out_group: SimPEGGroup | None = None,
         **kwargs,
     ):
         self._forward_only: bool = (
@@ -111,8 +111,6 @@ def __init__(
 
         super().__init__(input_file=input_file, **kwargs)
 
-        self.out_group = out_group
-
         if not self.forward_only:
             for key in self.__dict__:
                 if "channel_bool" in key and getattr(self, key[:-5], None) is not None:
@@ -347,6 +345,16 @@ def mesh(self):
     @mesh.setter
     def mesh(self, val):
         self.setter_validator("mesh", val, fun=self._uuid_promoter)
+
+        if (
+            isinstance(self._mesh, Octree)
+            and self._mesh.rotation is not None
+            and self._mesh.rotation != 0.0
+        ):
+            raise ValueError(
+                "Rotated meshes are not supported. Please use a mesh with an angle of 0.0."
+            )
+
         self.update_group_options()
 
     @property
diff --git a/simpeg_drivers/potential_fields/gravity/constants.py b/simpeg_drivers/potential_fields/gravity/constants.py
index 1eba9ca27..5130d2a6b 100644
--- a/simpeg_drivers/potential_fields/gravity/constants.py
+++ b/simpeg_drivers/potential_fields/gravity/constants.py
@@ -99,7 +99,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 forward_defaults = {
@@ -141,7 +141,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/potential_fields/magnetic_scalar/constants.py b/simpeg_drivers/potential_fields/magnetic_scalar/constants.py
index 3238ea3c7..0b734ae70 100644
--- a/simpeg_drivers/potential_fields/magnetic_scalar/constants.py
+++ b/simpeg_drivers/potential_fields/magnetic_scalar/constants.py
@@ -102,7 +102,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 forward_defaults = {
@@ -147,7 +147,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/potential_fields/magnetic_vector/constants.py b/simpeg_drivers/potential_fields/magnetic_vector/constants.py
index 7b4b40b58..d40224713 100644
--- a/simpeg_drivers/potential_fields/magnetic_vector/constants.py
+++ b/simpeg_drivers/potential_fields/magnetic_vector/constants.py
@@ -106,7 +106,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 forward_defaults = {
@@ -153,7 +153,7 @@
     "monitoring_directory": None,
     "workspace_geoh5": None,
     "run_command": "simpeg_drivers.driver",
-    "conda_environment": "geoapps",
+    "conda_environment": "simpeg_drivers",
     "distributed_workers": None,
 }
 
diff --git a/simpeg_drivers/utils/surveys.py b/simpeg_drivers/utils/surveys.py
index 02518e2d6..38f470115 100644
--- a/simpeg_drivers/utils/surveys.py
+++ b/simpeg_drivers/utils/surveys.py
@@ -38,98 +38,22 @@ def compute_alongline_distance(points: np.ndarray, ordered: bool = True):
 
 
 def extract_dcip_survey(
-    workspace: Workspace,
-    survey: PotentialElectrode,
-    lines: np.ndarray,
-    line_id: int,
-    name: str = "Line",
+    workspace: Workspace, survey: PotentialElectrode, cell_mask: np.ndarray
 ):
     """
     Returns a survey containing data from a single line.
 
-    :param: workspace: geoh5py workspace containing a valid DCIP survey.
-    :param: survey: PotentialElectrode object.
-    :param: lines: Line indexer for survey.
-    :param: line_id: Index of line to extract data from.
-    :param: name: Name prefix to assign to the new survey object (to be
-        suffixed with the line number).
+    :param workspace: geoh5py workspace containing a valid DCIP survey.
+    :param survey: PotentialElectrode object.
+    :param cell_mask: Boolean array of M-N pairs to include in the new survey.
     """
-    current = survey.current_electrodes
 
-    # Extract line locations and store map into full survey
-    survey_locs, survey_loc_map = slice_and_map(survey.vertices, lines == line_id)
+    if not np.any(cell_mask):
+        raise ValueError("No cells found in the mask.")
 
-    # Use line locations to slice cells and store map into full survey
-    func = lambda c: (c[0] in survey_loc_map) & (c[1] in survey_loc_map)
-    survey_cells, survey_cell_map = slice_and_map(survey.cells, func)
-    survey_cells = [[survey_loc_map[i] for i in c] for c in survey_cells]
-
-    # Use line cells to slice ab_cell_ids
-    ab_cell_ids = survey.ab_cell_id.values[list(survey_cell_map)]
-    ab_cell_ids = np.array(ab_cell_ids, dtype=int) - 1
-
-    # Use line ab_cell_ids to slice current cells
-    current_cells, current_cell_map = slice_and_map(
-        current.cells, np.unique(ab_cell_ids)
-    )
-
-    # Use line current cells to slice current locs
-    current_locs, current_loc_map = slice_and_map(
-        current.vertices, np.unique(current_cells.ravel())
-    )
-
-    # Remap global ids to local counterparts
-    ab_cell_ids = np.array([current_cell_map[i] for i in ab_cell_ids])
-    current_cells = [[current_loc_map[i] for i in c] for c in current_cells]
-
-    # Save objects
-    line_name = f"{name} {line_id}"
-    currents = CurrentElectrode.create(
-        workspace,
-        name=f"{line_name} (currents)",
-        vertices=current_locs,
-        cells=np.array(current_cells, dtype=np.int32),
-        allow_delete=True,
-    )
-    currents.add_default_ab_cell_id()
-
-    potentials = PotentialElectrode.create(
-        workspace,
-        name=line_name,
-        vertices=survey_locs,
-        allow_delete=True,
-    )
-    potentials.cells = np.array(survey_cells, dtype=np.int32)
-
-    # Add ab_cell_id as referenced data object
-    value_map = {k + 1: str(k + 1) for k in ab_cell_ids}
-    value_map.update({0: "Unknown"})
-    potentials.add_data(
-        {
-            "A-B Cell ID": {
-                "values": np.array(ab_cell_ids + 1, dtype=np.int32),
-                "association": "CELL",
-                "entity_type": {
-                    "primitive_type": "REFERENCED",
-                    "value_map": value_map,
-                },
-            },
-            "Global Map": {
-                "values": np.array(list(survey_cell_map), dtype=np.int32),
-                "association": "CELL",
-                "entity_type": {
-                    "primitive_type": "REFERENCED",
-                    "value_map": {k: str(k) for k in survey_cell_map},
-                },
-            },
-        }
-    )
-
-    # Attach current and potential objects and copy data slice into line survey
-    potentials.current_electrodes = currents
-    for c in survey.children:
-        if isinstance(c, FloatData) and "Pseudo" not in c.name:
-            potentials.add_data({c.name: {"values": c.values[list(survey_cell_map)]}})
+    active_poles = np.zeros(survey.n_vertices, dtype=bool)
+    active_poles[survey.cells[cell_mask, :].ravel()] = True
+    potentials = survey.copy(parent=workspace, mask=active_poles, cell_mask=cell_mask)
 
     return potentials
 
@@ -252,80 +176,3 @@ def slice_and_map(obj: np.ndarray, slicer: np.ndarray | Callable):
         g2l = dict(zip(np.where(slicer)[0], np.arange(len(obj))))
 
     return sliced_object, g2l
-
-
-def survey_lines(survey, start_loc: list[int | float], save: str | None = None):
-    """
-    Build an array of line ids for a survey laid out in a line biased grid.
-
-    :param: survey: geoh5py.objects.surveys object with .vertices attribute or xyz array.
-    :param: start_loc: Easting and Northing of a survey extremity from which the
-        all other survey locations will be traversed and assigned line ids.
-    :save: Name assigned to line id (ReferencedData) object if not None.
-
-    """
-    # extract xy locations and create linear indexing
-    try:
-        locs = survey.vertices[:, :2]
-    except AttributeError:
-        locs = survey[:, :2]
-
-    nodes = np.arange(len(locs)).tolist()
-
-    # find the id of the closest point to the starting location
-    start_id = np.argmin(np.linalg.norm(locs - start_loc, axis=1))
-
-    # pop the starting location and index out of their respective lists
-    locs = locs.tolist()
-    loc = locs[start_id]
-    inds = []
-    n = nodes.pop(start_id)
-    inds.append(n)
-
-    # compute the tree of the remaining points and begin to traverse the tree
-    # in the direction of closest neighbors.  Label points with same line id
-    # until an outlier is detected in the distance to the next closest point,
-    # then increase the line id.
-    tree = cKDTree(locs)
-    line_id = 1  # zero is reserved
-    lines = []
-    distances = []
-    while nodes:
-        lines.append(line_id)
-        dist, next_id = next_neighbor(tree, loc, nodes)
-
-        outlier = False
-        if len(distances) > 1:
-            if np.allclose(dist, distances, atol=1e-6):
-                outlier = False
-            else:
-                outlier = is_outlier(distances, dist)
-
-        if outlier:
-            line_id += 1
-            distances = []
-        else:
-            distances.append(dist)
-
-        n = nodes.pop(nodes.index(next_id))
-        inds.append(n)
-        loc = locs[next_id]
-
-    lines += [line_id]  # nodes run out before last id assigned
-
-    inds = np.argsort(inds)
-    if save is not None:
-        survey.add_data(
-            {
-                save: {
-                    "values": np.array(lines)[inds],
-                    "association": "VERTEX",
-                    "entity_type": {
-                        "primitive_type": "REFERENCED",
-                        "value_map": {k: str(k) for k in lines},
-                    },
-                }
-            }
-        )
-
-    return np.array(lines)[inds]
diff --git a/simpeg_drivers/utils/testing.py b/simpeg_drivers/utils/testing.py
index 45ed9a75c..ea40db735 100644
--- a/simpeg_drivers/utils/testing.py
+++ b/simpeg_drivers/utils/testing.py
@@ -31,7 +31,6 @@
 from scipy.spatial import Delaunay
 from SimPEG import utils
 
-from simpeg_drivers.utils.surveys import survey_lines
 from simpeg_drivers.utils.utils import active_from_xyz, get_drape_model
 
 
@@ -103,6 +102,68 @@ def check_target(output: dict, target: dict, tolerance=0.1):
     )
 
 
+def generate_dc_survey(
+    workspace: Workspace,
+    x_loc: np.ndarray,
+    y_loc: np.ndarray,
+    z_loc: np.ndarray | None = None,
+) -> PotentialElectrode:
+    """
+    Utility function to generate a DC survey.
+    """
+    # Create sources along line
+    if z_loc is None:
+        z_loc = np.zeros_like(x_loc)
+
+    vertices = np.c_[x_loc.ravel(), y_loc.ravel(), z_loc.ravel()]
+    parts = np.kron(np.arange(x_loc.shape[0]), np.ones(x_loc.shape[1])).astype("int")
+    currents = CurrentElectrode.create(workspace, vertices=vertices, parts=parts)
+    currents.add_default_ab_cell_id()
+    n_dipoles = 9
+    dipoles = []
+    current_id = []
+
+    for val in currents.ab_cell_id.values:
+        cell_id = int(currents.ab_map[val]) - 1
+
+        for dipole in range(n_dipoles):
+            dipole_ids = currents.cells[cell_id, :] + 2 + dipole
+
+            if (
+                any(dipole_ids > (currents.n_vertices - 1))
+                or len(
+                    np.unique(parts[np.r_[currents.cells[cell_id, 0], dipole_ids[1]]])
+                )
+                > 1
+            ):
+                continue
+
+            dipoles += [dipole_ids]
+            current_id += [val]
+
+    potentials = PotentialElectrode.create(
+        workspace, vertices=vertices, cells=np.vstack(dipoles).astype("uint32")
+    )
+    line_id = potentials.vertices[potentials.cells[:, 0], 1]
+    line_id = (line_id - np.min(line_id) + 1).astype(np.int32)
+    line_reference = {0: "Unknown"}
+    line_reference.update({k: str(k) for k in np.unique(line_id)})
+    potentials.add_data(
+        {
+            "line_ids": {
+                "values": line_id,
+                "type": "REFERENCED",
+                "value_map": line_reference,
+            }
+        }
+    )
+    potentials.ab_cell_id = np.hstack(current_id).astype("int32")
+    potentials.current_electrodes = currents
+    currents.potential_electrodes = potentials
+
+    return potentials
+
+
 def setup_inversion_workspace(
     work_dir,
     background=None,
@@ -121,7 +182,7 @@ def setup_inversion_workspace(
     geoh5=None,
 ):
     if geoh5 is None:
-        geoh5 = Workspace(Path(work_dir) / "inversion_test.ui.geoh5")
+        geoh5 = Workspace.create(Path(work_dir) / "inversion_test.ui.geoh5")
     # Topography
     xx, yy = np.meshgrid(np.linspace(-200.0, 200.0, 50), np.linspace(-200.0, 200.0, 50))
 
@@ -165,50 +226,7 @@ def topo_drape(x, y):
     ]
 
     if inversion_type in ["dcip", "dcip_2d"]:
-        ab_vertices = np.c_[
-            X[:, :-2].flatten(), Y[:, :-2].flatten(), Z[:, :-2].flatten()
-        ]
-        mn_vertices = np.c_[
-            X[:, 2:].flatten() + center[0],
-            Y[:, 2:].flatten() + center[1],
-            Z[:, 2:].flatten() + center[2],
-        ]
-
-        parts = np.repeat(np.arange(n_lines), n_electrodes - 2).astype("int32")
-        currents = CurrentElectrode.create(
-            geoh5, name="survey (currents)", vertices=ab_vertices, parts=parts
-        )
-        currents.add_default_ab_cell_id()
-
-        N = 6
-        dipoles = []
-        current_id = []
-        for val in currents.ab_cell_id.values:  # For each source dipole
-            cell_id = int(currents.ab_map[val]) - 1  # Python 0 indexing
-            line = currents.parts[currents.cells[cell_id, 0]]
-            for m_n in range(N):
-                dipole_ids = (currents.cells[cell_id, :] + m_n).astype(
-                    "uint32"
-                )  # Skip two poles
-
-                # Shorten the array as we get to the end of the line
-                if any(dipole_ids > (len(mn_vertices) - 1)) or any(
-                    currents.parts[dipole_ids] != line
-                ):
-                    continue
-
-                dipoles += [dipole_ids]  # Save the receiver id
-                current_id += [val]  # Save the source id
-
-        survey = PotentialElectrode.create(
-            geoh5,
-            name="survey",
-            vertices=mn_vertices,
-            cells=np.vstack(dipoles).astype("uint32"),
-        )
-        survey.current_electrodes = currents
-        survey.ab_cell_id = np.asarray(current_id).astype("int32")
-        currents.potential_electrodes = survey
+        survey = generate_dc_survey(geoh5, X, Y, Z)
 
     elif inversion_type == "magnetotellurics":
         survey = MTReceivers.create(
@@ -408,13 +426,11 @@ def topo_drape(x, y):
     # Create a mesh
 
     if "2d" in inversion_type:
-        locs = np.unique(np.vstack([ab_vertices, mn_vertices]), axis=0)
-        lines = survey_lines(locs, [-100, -100])
-
-        entity, mesh, _ = get_drape_model(  # pylint: disable=W0632
+        lines = survey.get_entity("line_ids")[0].values
+        entity, mesh, _ = get_drape_model(  # pylint: disable=unbalanced-tuple-unpacking
             geoh5,
             "Models",
-            locs[lines == 2],
+            survey.vertices[np.unique(survey.cells[lines == 101, :]), :],
             [cell_size[0], cell_size[2]],
             100.0,
             [padding_distance] * 2 + [padding_distance] * 2,
diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index ca4805525..36c5cf267 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -12,6 +12,7 @@
 from __future__ import annotations
 
 import warnings
+from typing import TYPE_CHECKING
 from uuid import UUID
 
 import numpy as np
@@ -22,6 +23,7 @@
 from geoh5py import Workspace
 from geoh5py.groups import Group
 from geoh5py.objects import DrapeModel, Octree
+from geoh5py.objects.surveys.electromagnetics.base import LargeLoopGroundEMSurvey
 from geoh5py.shared import INTEGER_NDV
 from octree_creation_app.utils import octree_2_treemesh
 from scipy.interpolate import LinearNDInterpolator, NearestNDInterpolator, interp1d
@@ -33,6 +35,9 @@
 from SimPEG.survey import BaseSurvey
 from SimPEG.utils import mkvc
 
+if TYPE_CHECKING:
+    from simpeg_drivers.components.data import InversionData
+
 from simpeg_drivers.utils.surveys import (
     compute_alongline_distance,
     get_intersecting_cells,
@@ -618,77 +623,42 @@ def tile_locations(
     return tuple(out)
 
 
-def filter_xy(
-    x: np.array,
-    y: np.array,
-    distance: float | None = None,
-    window: dict | None = None,
-    angle: float | None = None,
-    mask: np.ndarray | None = None,
-) -> np.array:
+def get_containing_cells(
+    mesh: TreeMesh | TensorMesh, data: InversionData
+) -> np.ndarray:
     """
-    Window and down-sample locations based on distance and window parameters.
-
-    :param x: Easting coordinates, as vector or meshgrid-like array
-    :param y: Northing coordinates, as vector or meshgrid-like array
-    :param distance: Desired coordinate spacing.
-    :param window: Window parameters describing a domain of interest.
-        Must contain the following keys and values:
-        window = {
-            "center": [X: float, Y: float],
-            "size": [width: float, height: float]
-        }
-        May also contain an "azimuth" in the case of rotated x and y.
-    :param angle: Angle through which the locations must be rotated
-        to take on a east-west, north-south orientation.  Supersedes
-        the 'azimuth' key/value pair in the window dictionary if it
-        exists.
-    :param mask: Boolean mask to be combined with filter_xy masks via
-        logical 'and' operation.
-
-    :return mask: Boolean mask to be applied input arrays x and y.
+    Find indices of cells that contain data locations
+
+    :param mesh: Computational mesh object
+    :param data: Inversion data object
     """
+    if isinstance(mesh, TreeMesh):
+        inds = mesh._get_containing_cell_indexes(  # pylint: disable=protected-access
+            data.locations
+        )
 
-    if mask is None:
-        mask = np.ones_like(x, dtype=bool)
-
-    azim = None
-    if angle is not None:
-        azim = angle
-    elif window is not None:
-        if "azimuth" in window:
-            azim = window["azimuth"]
-
-    is_rotated = False if (azim is None) | (azim == 0) else True
-    if is_rotated:
-        xy_locs = rotate_xyz(np.c_[x.ravel(), y.ravel()], window["center"], azim)
-        xr = xy_locs[:, 0].reshape(x.shape)
-        yr = xy_locs[:, 1].reshape(y.shape)
-
-    if window is not None:
-        if is_rotated:
-            mask, _, _ = window_xy(xr, yr, window, mask=mask)
-        else:
-            mask, _, _ = window_xy(x, y, window, mask=mask)
-
-    if distance not in [None, 0]:
-        is_grid = False
-        if x.ndim > 1:
-            if is_rotated:
-                u_diff = np.unique(np.round(np.diff(xr, axis=1), 8))
-                v_diff = np.unique(np.round(np.diff(yr, axis=0), 8))
-            else:
-                u_diff = np.unique(np.round(np.diff(x, axis=1), 8))
-                v_diff = np.unique(np.round(np.diff(y, axis=0), 8))
+        if isinstance(data.entity, LargeLoopGroundEMSurvey):
+            line_ind = []
+            transmitters = data.entity.transmitters
+            for cell in transmitters.cells:
+                line_ind.append(
+                    mesh.get_cells_along_line(
+                        transmitters.vertices[cell[0], :],
+                        transmitters.vertices[cell[1], :],
+                    )
+                )
+            inds = np.unique(np.r_[inds, np.hstack(line_ind)])
 
-            is_grid = (len(u_diff) == 1) & (len(v_diff) == 1)
+    elif isinstance(mesh, TensorMesh):
+        locations = data.drape_locations(np.unique(data.locations, axis=0))
+        xi = np.searchsorted(mesh.nodes_x, locations[:, 0]) - 1
+        yi = np.searchsorted(mesh.nodes_y, locations[:, -1]) - 1
+        inds = xi * mesh.shape_cells[1] + yi
 
-        if is_grid:
-            mask, _, _ = downsample_grid(x, y, distance, mask=mask)
-        else:
-            mask, _, _ = downsample_xy(x, y, distance, mask=mask)
+    else:
+        raise TypeError("Mesh must be 'TreeMesh' or 'TensorMesh'")
 
-    return mask
+    return inds
 
 
 def cell_size_z(drape_model: DrapeModel) -> np.ndarray:
@@ -794,3 +764,35 @@ def minimum_depth_core(
         return depth_core - zrange + core_z_cell_size
     else:
         return depth_core
+
+
+def get_neighbouring_cells(mesh: TreeMesh, indices: list | np.ndarray) -> tuple:
+    """
+    Get the indices of neighbouring cells along a given axis for a given list of
+    cell indices.
+
+    :param mesh: discretize.TreeMesh object.
+    :param indices: List of cell indices.
+
+    :return: Two lists of neighbouring cell indices for every axis.
+        axis[0] = (west, east)
+        axis[1] = (south, north)
+        axis[2] = (down, up)
+    """
+    if not isinstance(indices, (list, np.ndarray)):
+        raise TypeError("Input 'indices' must be a list or numpy.ndarray of indices.")
+
+    if not isinstance(mesh, TreeMesh):
+        raise TypeError("Input 'mesh' must be a discretize.TreeMesh object.")
+
+    neighbors = {ax: [[], []] for ax in range(mesh.dim)}
+
+    for ind in indices:
+        for ax in range(mesh.dim):
+            neighbors[ax][0].append(np.r_[mesh[ind].neighbors[ax * 2]])
+            neighbors[ax][1].append(np.r_[mesh[ind].neighbors[ax * 2 + 1]])
+
+    return tuple(
+        (np.r_[tuple(neighbors[ax][0])], np.r_[tuple(neighbors[ax][1])])
+        for ax in range(mesh.dim)
+    )
diff --git a/tests/__init__.py b/tests/__init__.py
index 042ae27e6..1e42d1d3d 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -3,17 +3,3 @@
 #  This file is part of simpeg_drivers package.
 #
 #  All rights reserved.
-from simpeg_drivers.utils.testing import setup_inversion_workspace
-
-GEOH5, _, model, survey, topography = setup_inversion_workspace(
-    work_dir="",  # r"C:\Users\jamieb\Documents\repos\simpeg-drivers\simpeg_drivers-assets",
-    background=0.001,
-    anomaly=1.0,
-    n_electrodes=2,
-    n_lines=2,
-    refinement=(2,),
-    inversion_type="airborne_tem",
-    drape_height=10.0,
-    padding_distance=400.0,
-    flatten=False,
-)
diff --git a/tests/conftest.py b/tests/conftest.py
index 85bf3d776..6e6292ba5 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
diff --git a/tests/data_test.py b/tests/data_test.py
index 5c25ff275..37d531e5b 100644
--- a/tests/data_test.py
+++ b/tests/data_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 
diff --git a/tests/locations_test.py b/tests/locations_test.py
index 57be89738..a60e55709 100644
--- a/tests/locations_test.py
+++ b/tests/locations_test.py
@@ -1,11 +1,10 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
-
 from __future__ import annotations
 
 from pathlib import Path
@@ -13,12 +12,10 @@
 import numpy as np
 import pytest
 from geoh5py.objects import Grid2D, Points
-from geoh5py.workspace import Workspace
 
 from simpeg_drivers.components.locations import InversionLocations
 from simpeg_drivers.potential_fields import MagneticVectorParams
 from simpeg_drivers.utils.testing import Geoh5Tester, setup_inversion_workspace
-from tests import GEOH5 as geoh5
 
 
 def setup_params(tmp_path):
@@ -59,7 +56,7 @@ def test_get_locations(tmp_path: Path):
     locs = np.ones((10, 3), dtype=float)
     points_object = Points.create(ws, name="test-data", vertices=locs)
     locations = InversionLocations(ws, params)
-    dlocs = locations.get_locations(points_object.uid)
+    dlocs = locations.get_locations(points_object)
     np.testing.assert_allclose(locs, dlocs)
 
     xg, yg = np.meshgrid(np.arange(5) + 0.5, np.arange(5) + 0.5)
@@ -74,7 +71,7 @@ def test_get_locations(tmp_path: Path):
         rotation=0.0,
         dip=0.0,
     )
-    dlocs = locations.get_locations(grid_object.uid)
+    dlocs = locations.get_locations(grid_object)
     np.testing.assert_allclose(dlocs, locs)
 
 
@@ -91,15 +88,6 @@ def test_filter(tmp_path: Path):
     assert np.all(filtered_data["key"] == [2, 3, 4])
 
 
-def test_rotate(tmp_path: Path):
-    # Basic test since rotate_xy already tested
-    ws, params = setup_params(tmp_path)
-    locations = InversionLocations(ws, params)
-    test_locs = np.array([[1.0, 2.0, 3.0], [3.0, 4.0, 5.0], [6.0, 7.0, 8.0]])
-    locs_rot = locations.rotate(test_locs)
-    assert locs_rot.shape == test_locs.shape
-
-
 def test_z_from_topo(tmp_path: Path):
     ws, params = setup_params(tmp_path)
     locations = InversionLocations(ws, params)
diff --git a/tests/meshes_test.py b/tests/meshes_test.py
index 8c161f478..0d2c79f87 100644
--- a/tests/meshes_test.py
+++ b/tests/meshes_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 
diff --git a/tests/models_test.py b/tests/models_test.py
index e993cf95e..f6a3b3e1f 100644
--- a/tests/models_test.py
+++ b/tests/models_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 
diff --git a/tests/preprocessing_test.py b/tests/preprocessing_test.py
deleted file mode 100644
index 52a281df3..000000000
--- a/tests/preprocessing_test.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
-#
-#  This file is part of geoapps.
-#
-#  geoapps is distributed under the terms and conditions of the MIT License
-#  (see LICENSE file at the root of this source code package).
-import copy
-
-import numpy as np
-
-from simpeg_drivers.components.preprocessing import (
-    parse_ignore_values,
-    set_infinity_uncertainties,
-)
-
-
-def test_parse_ignore_values():
-    logic = ["<", ">", "="]
-    for i, ignore_values in enumerate(["<99", ">99", "99"]):
-        ignore_value, ignore_type = parse_ignore_values(
-            ignore_values=ignore_values, forward_only=False
-        )
-        assert ignore_value == 99
-        assert ignore_type == logic[i]
-
-
-def test_set_infinity_uncertainties():
-    components = ["data"]
-    data_dict = {
-        "data_channel": {
-            "values": np.array([0, 1, 2, 3, 4, 5]),
-        },
-        "data_uncertainty": {
-            "values": np.array([0.1] * 6),
-        },
-    }
-
-    true_len_where_inf = [1, 4, 3]
-    true_where_inf = [3, [0, 1, 2, 3], [3, 4, 5]]
-    for i, ignore_values in enumerate(["3", "<3", ">3"]):
-        out_dict = set_infinity_uncertainties(
-            ignore_values=ignore_values,
-            forward_only=False,
-            components=components,
-            data_dict=copy.deepcopy(data_dict),
-        )
-        unc = out_dict["data_uncertainty"]["values"]
-        where_inf = np.where(np.isinf(unc))[0]
-        assert len(where_inf) == true_len_where_inf[i]
-        assert np.all(where_inf == true_where_inf[i])
-
-    out_dict = set_infinity_uncertainties(
-        ignore_values=None,
-        forward_only=False,
-        components=components,
-        data_dict=copy.deepcopy(data_dict),
-    )
-    unc = out_dict["data_uncertainty"]["values"]
-    assert np.all(np.array([0.1] * 6) == unc)
diff --git a/tests/run_tests/__init__.py b/tests/run_tests/__init__.py
index b9d69bf1d..493530b71 100644
--- a/tests/run_tests/__init__.py
+++ b/tests/run_tests/__init__.py
@@ -1,6 +1,6 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
diff --git a/tests/run_tests/driver_airborne_tem_test.py b/tests/run_tests/driver_airborne_tem_test.py
index cb964ef77..e64c124f3 100644
--- a/tests/run_tests/driver_airborne_tem_test.py
+++ b/tests/run_tests/driver_airborne_tem_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
diff --git a/tests/run_tests/driver_dc_2d_test.py b/tests/run_tests/driver_dc_2d_test.py
index 88ee554f0..0ea0dd8f3 100644
--- a/tests/run_tests/driver_dc_2d_test.py
+++ b/tests/run_tests/driver_dc_2d_test.py
@@ -1,9 +1,9 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg_drivers package.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
-#  (see LICENSE file at the root of this source code package).
+#  All rights reserved
+
 
 from __future__ import annotations
 
@@ -18,7 +18,6 @@
 from simpeg_drivers.electricals.direct_current.two_dimensions.params import (
     DirectCurrent2DParams,
 )
-from simpeg_drivers.utils.surveys import survey_lines
 from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace
 from simpeg_drivers.utils.utils import get_inversion_output
 
@@ -26,9 +25,9 @@
 # Move this file out of the test directory and run.
 
 target_run = {
-    "data_norm": 0.59762,
-    "phi_d": 1425,
-    "phi_m": 7.851,
+    "data_norm": 0.59563,
+    "phi_d": 1400,
+    "phi_m": 8.004,
 }
 
 np.random.seed(0)
@@ -52,7 +51,6 @@ def test_dc_2d_fwr_run(
         drape_height=0.0,
         flatten=False,
     )
-    _ = survey_lines(survey, [-100, -100], save="line_ids")
     params = DirectCurrent2DParams(
         forward_only=True,
         geoh5=geoh5,
@@ -67,7 +65,7 @@ def test_dc_2d_fwr_run(
         data_object=survey.uid,
         starting_model=model.uid,
         line_object=geoh5.get_entity("line_ids")[0].uid,
-        line_id=2,
+        line_id=101,
     )
     params.workpath = tmp_path
     fwr_driver = DirectCurrent2DDriver(params)
@@ -82,7 +80,6 @@ def test_dc_2d_run(tmp_path: Path, max_iterations=1, pytest=True):
     with Workspace(workpath) as geoh5:
         potential = geoh5.get_entity("Iteration_0_dc")[0]
         topography = geoh5.get_entity("topography")[0]
-        _ = survey_lines(potential.parent, [-100, 100], save="line_IDs")
 
         # Run the inverse
         np.random.seed(0)
@@ -98,8 +95,8 @@ def test_dc_2d_run(tmp_path: Path, max_iterations=1, pytest=True):
             data_object=potential.parent.uid,
             potential_channel=potential.uid,
             potential_uncertainty=1e-3,
-            line_object=geoh5.get_entity("line_IDs")[0].uid,
-            line_id=2,
+            line_object=geoh5.get_entity("line_ids")[0].uid,
+            line_id=101,
             starting_model=1e-2,
             reference_model=1e-2,
             s_norm=0.0,
diff --git a/tests/run_tests/driver_dc_p3d_test.py b/tests/run_tests/driver_dc_p3d_test.py
index 1d26606ac..67dcb69fc 100644
--- a/tests/run_tests/driver_dc_p3d_test.py
+++ b/tests/run_tests/driver_dc_p3d_test.py
@@ -1,9 +1,9 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg_drivers package.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
-#  (see LICENSE file at the root of this source code package).
+#  All rights reserved
+
 
 from __future__ import annotations
 
@@ -20,14 +20,13 @@
 from simpeg_drivers.electricals.direct_current.pseudo_three_dimensions.params import (
     DirectCurrentPseudo3DParams,
 )
-from simpeg_drivers.utils.surveys import survey_lines
 from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace
 from simpeg_drivers.utils.utils import get_inversion_output
 
 # To test the full run and validate the inversion.
 # Move this file out of the test directory and run.
 
-target_run = {"data_norm": 1.1003794750530917, "phi_d": 4086, "phi_m": 0.8238}
+target_run = {"data_norm": 1.099, "phi_d": 4150, "phi_m": 0.7511}
 
 np.random.seed(0)
 
@@ -50,8 +49,6 @@ def test_dc_p3d_fwr_run(
         drape_height=0.0,
         flatten=False,
     )
-
-    _ = survey_lines(survey, [-100, -100], save="line_ids")
     params = DirectCurrentPseudo3DParams(
         forward_only=True,
         geoh5=geoh5,
@@ -87,7 +84,6 @@ def test_dc_p3d_run(
         out_group = geoh5.get_entity("Line 1")[0].parent
         mesh = out_group.get_entity("mesh")[0]  # Finds the octree mesh
         topography = geoh5.get_entity("topography")[0]
-        _ = survey_lines(potential.parent, [-100, 100], save="line_IDs")
 
         # Run the inverse
         np.random.seed(0)
@@ -103,7 +99,7 @@ def test_dc_p3d_run(
             data_object=potential.parent.uid,
             potential_channel=potential.uid,
             potential_uncertainty=1e-3,
-            line_object=geoh5.get_entity("line_IDs")[0].uid,
+            line_object=geoh5.get_entity("line_ids")[0].uid,
             starting_model=1e-2,
             reference_model=1e-2,
             s_norm=0.0,
@@ -128,7 +124,7 @@ def test_dc_p3d_run(
     basepath = workpath.parent
     with open(basepath / "lookup.json", encoding="utf8") as f:
         lookup = json.load(f)
-        middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 2][0]
+        middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0]
 
     with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace:
         middle_inversion_group = [
diff --git a/tests/run_tests/driver_dc_test.py b/tests/run_tests/driver_dc_test.py
index 0e005ed8d..9e1379347 100644
--- a/tests/run_tests/driver_dc_test.py
+++ b/tests/run_tests/driver_dc_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
@@ -24,7 +24,7 @@
 # To test the full run and validate the inversion.
 # Move this file out of the test directory and run.
 
-target_run = {"data_norm": 0.15258054504749555, "phi_d": 31.85, "phi_m": 122.7}
+target_run = {"data_norm": 0.15258, "phi_d": 31.85, "phi_m": 122.7}
 
 np.random.seed(0)
 
@@ -59,6 +59,8 @@ def test_dc_3d_fwr_run(
     survey.ab_cell_id = tx_id
     survey.cells = cells
 
+    geoh5.close()
+
     params = DirectCurrent3DParams(
         forward_only=True,
         geoh5=geoh5,
diff --git a/tests/run_tests/driver_fem_test.py b/tests/run_tests/driver_fem_test.py
index 176d2e9d7..8375c1abf 100644
--- a/tests/run_tests/driver_fem_test.py
+++ b/tests/run_tests/driver_fem_test.py
@@ -1,9 +1,10 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
+
 # pylint: disable=too-many-locals
 
 from __future__ import annotations
diff --git a/tests/run_tests/driver_grav_test.py b/tests/run_tests/driver_grav_test.py
index 3b1e7d3f4..807e99b7d 100644
--- a/tests/run_tests/driver_grav_test.py
+++ b/tests/run_tests/driver_grav_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
diff --git a/tests/run_tests/driver_ground_tem_test.py b/tests/run_tests/driver_ground_tem_test.py
index f013f3398..8feabfeae 100644
--- a/tests/run_tests/driver_ground_tem_test.py
+++ b/tests/run_tests/driver_ground_tem_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
diff --git a/tests/run_tests/driver_ip_2d_test.py b/tests/run_tests/driver_ip_2d_test.py
index 7044391e2..5ddce4ed7 100644
--- a/tests/run_tests/driver_ip_2d_test.py
+++ b/tests/run_tests/driver_ip_2d_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
@@ -18,7 +18,6 @@
 from simpeg_drivers.electricals.induced_polarization.two_dimensions.driver import (
     InducedPolarization2DDriver,
 )
-from simpeg_drivers.utils.surveys import survey_lines
 from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace
 from simpeg_drivers.utils.utils import get_inversion_output
 
@@ -26,9 +25,9 @@
 # Move this file out of the test directory and run.
 
 target_run = {
-    "data_norm": 0.091298,
-    "phi_d": 9581,
-    "phi_m": 0.08327,
+    "data_norm": 0.09141,
+    "phi_d": 9934,
+    "phi_m": 0.08341,
 }
 
 np.random.seed(0)
@@ -52,7 +51,6 @@ def test_ip_2d_fwr_run(
         flatten=False,
         drape_height=0.0,
     )
-    _ = survey_lines(survey, [-100, -100], save="line_ids")
     params = InducedPolarization2DParams(
         forward_only=True,
         geoh5=geoh5,
@@ -63,7 +61,7 @@ def test_ip_2d_fwr_run(
         starting_model=model.uid,
         conductivity_model=1e-2,
         line_object=geoh5.get_entity("line_ids")[0].uid,
-        line_id=2,
+        line_id=101,
     )
     params.workpath = tmp_path
     fwr_driver = InducedPolarization2DDriver(params)
@@ -83,8 +81,6 @@ def test_ip_2d_run(
         chargeability = geoh5.get_entity("Iteration_0_ip")[0]
         mesh = geoh5.get_entity("Models")[0]
         topography = geoh5.get_entity("topography")[0]
-        _ = survey_lines(chargeability.parent, [-100, 100], save="line_IDs")
-
         # Run the inverse
         np.random.seed(0)
         params = InducedPolarization2DParams(
@@ -94,8 +90,8 @@ def test_ip_2d_run(
             data_object=chargeability.parent.uid,
             chargeability_channel=chargeability.uid,
             chargeability_uncertainty=2e-4,
-            line_object=geoh5.get_entity("line_IDs")[0].uid,
-            line_id=2,
+            line_object=geoh5.get_entity("line_ids")[0].uid,
+            line_id=101,
             starting_model=1e-6,
             reference_model=1e-6,
             conductivity_model=1e-2,
diff --git a/tests/run_tests/driver_ip_p3d_test.py b/tests/run_tests/driver_ip_p3d_test.py
index 55bda278e..f8763281a 100644
--- a/tests/run_tests/driver_ip_p3d_test.py
+++ b/tests/run_tests/driver_ip_p3d_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
@@ -20,7 +20,6 @@
 from simpeg_drivers.electricals.induced_polarization.pseudo_three_dimensions.params import (
     InducedPolarizationPseudo3DParams,
 )
-from simpeg_drivers.utils.surveys import survey_lines
 from simpeg_drivers.utils.testing import check_target, setup_inversion_workspace
 from simpeg_drivers.utils.utils import get_inversion_output
 
@@ -29,8 +28,8 @@
 
 target_run = {
     "data_norm": 0.08768,
-    "phi_d": 7267,
-    "phi_m": 0.1079,
+    "phi_d": 8239,
+    "phi_m": 0.1178,
 }
 
 np.random.seed(0)
@@ -55,7 +54,6 @@ def test_ip_p3d_fwr_run(
         flatten=False,
     )
 
-    _ = survey_lines(survey, [-100, -100], save="line_ids")
     params = InducedPolarizationPseudo3DParams(
         forward_only=True,
         geoh5=geoh5,
@@ -92,7 +90,6 @@ def test_ip_p3d_run(
         out_group = geoh5.get_entity("Line 1")[0].parent
         mesh = out_group.get_entity("mesh")[0]  # Finds the octree mesh
         topography = geoh5.get_entity("topography")[0]
-        _ = survey_lines(chargeability.parent, [-100, 100], save="line_IDs")
 
         # Run the inverse
         np.random.seed(0)
@@ -108,7 +105,7 @@ def test_ip_p3d_run(
             data_object=chargeability.parent.uid,
             chargeability_channel=chargeability.uid,
             chargeability_uncertainty=2e-4,
-            line_object=geoh5.get_entity("line_IDs")[0].uid,
+            line_object=geoh5.get_entity("line_ids")[0].uid,
             conductivity_model=1e-2,
             starting_model=1e-6,
             reference_model=1e-6,
@@ -134,7 +131,7 @@ def test_ip_p3d_run(
     basepath = workpath.parent
     with open(basepath / "lookup.json", encoding="utf8") as f:
         lookup = json.load(f)
-        middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 2][0]
+        middle_line_id = [k for k, v in lookup.items() if v["line_id"] == 101][0]
 
     with Workspace(basepath / f"{middle_line_id}.ui.geoh5", mode="r") as workspace:
         middle_inversion_group = [
diff --git a/tests/run_tests/driver_ip_test.py b/tests/run_tests/driver_ip_test.py
index 0746eeab8..b06da408f 100644
--- a/tests/run_tests/driver_ip_test.py
+++ b/tests/run_tests/driver_ip_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
@@ -24,7 +24,7 @@
 # To test the full run and validate the inversion.
 # Move this file out of the test directory and run.
 
-target_run = {"data_norm": 0.008494880725179624, "phi_d": 1.438, "phi_m": 0.3258}
+target_run = {"data_norm": 0.008494, "phi_d": 1.438, "phi_m": 0.3258}
 
 np.random.seed(0)
 
diff --git a/tests/run_tests/driver_joint_cross_gradient_test.py b/tests/run_tests/driver_joint_cross_gradient_test.py
index 87566919e..774a17878 100644
--- a/tests/run_tests/driver_joint_cross_gradient_test.py
+++ b/tests/run_tests/driver_joint_cross_gradient_test.py
@@ -1,9 +1,10 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
+
 from pathlib import Path
 
 import numpy as np
@@ -60,6 +61,7 @@ def test_joint_cross_gradient_fwr_run(
 
     _, _, model, survey, _ = setup_inversion_workspace(
         tmp_path,
+        geoh5=geoh5,
         background=0.0,
         anomaly=0.05,
         refinement=refinement,
@@ -86,6 +88,7 @@ def test_joint_cross_gradient_fwr_run(
 
     _, _, model, survey, _ = setup_inversion_workspace(
         tmp_path,
+        geoh5=geoh5,
         background=0.01,
         anomaly=10,
         n_electrodes=n_grid_points,
diff --git a/tests/run_tests/driver_joint_surveys_test.py b/tests/run_tests/driver_joint_surveys_test.py
index d959475cb..830665919 100644
--- a/tests/run_tests/driver_joint_surveys_test.py
+++ b/tests/run_tests/driver_joint_surveys_test.py
@@ -1,9 +1,10 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
+
 from pathlib import Path
 
 import numpy as np
diff --git a/tests/run_tests/driver_mag_test.py b/tests/run_tests/driver_mag_test.py
index 656194f91..406787984 100644
--- a/tests/run_tests/driver_mag_test.py
+++ b/tests/run_tests/driver_mag_test.py
@@ -1,8 +1,8 @@
 #  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
diff --git a/tests/run_tests/driver_mt_test.py b/tests/run_tests/driver_mt_test.py
index 9a372759f..b703a0b5d 100644
--- a/tests/run_tests/driver_mt_test.py
+++ b/tests/run_tests/driver_mt_test.py
@@ -1,9 +1,10 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
+
 # pylint: disable=too-many-locals
 
 from __future__ import annotations
@@ -25,7 +26,7 @@
 # To test the full run and validate the inversion.
 # Move this file out of the test directory and run.
 
-target_run = {"data_norm": 0.0054224836082968015, "phi_d": 0.2252, "phi_m": 2.709}
+target_run = {"data_norm": 0.003936, "phi_d": 1.06, "phi_m": 2.793}
 np.random.seed(0)
 
 
diff --git a/tests/run_tests/driver_mvi_test.py b/tests/run_tests/driver_mvi_test.py
index 52ad83f32..c0f4ae193 100644
--- a/tests/run_tests/driver_mvi_test.py
+++ b/tests/run_tests/driver_mvi_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
diff --git a/tests/run_tests/driver_tipper_test.py b/tests/run_tests/driver_tipper_test.py
index 4e5279a2d..661c26a0f 100644
--- a/tests/run_tests/driver_tipper_test.py
+++ b/tests/run_tests/driver_tipper_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 from __future__ import annotations
diff --git a/tests/topography_test.py b/tests/topography_test.py
index 587f1dca3..b80a6a949 100644
--- a/tests/topography_test.py
+++ b/tests/topography_test.py
@@ -1,8 +1,8 @@
-#  Copyright (c) 2023 Mira Geoscience Ltd.
+#  Copyright (c) 2024 Mira Geoscience Ltd.
 #
-#  This file is part of geoapps.
+#  This file is part of simpeg-drivers.
 #
-#  geoapps is distributed under the terms and conditions of the MIT License
+#  simpeg-drivers is distributed under the terms and conditions of the MIT License
 #  (see LICENSE file at the root of this source code package).
 
 
@@ -11,12 +11,10 @@
 from pathlib import Path
 
 import numpy as np
-from geoh5py.workspace import Workspace
 
 from simpeg_drivers.components import InversionTopography
 from simpeg_drivers.potential_fields import MagneticVectorParams
 from simpeg_drivers.utils.testing import Geoh5Tester, setup_inversion_workspace
-from tests import GEOH5 as geoh5
 
 
 def setup_params(tmp_path):