From d8d2e4edfdd374e6378ee40c85378d7863fdc25c Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Wed, 16 Jul 2025 09:02:04 -0700
Subject: [PATCH 01/13] Add module profiling

---
 simpeg_drivers/driver.py | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py
index 4ded8bfa..19f0fc4e 100644
--- a/simpeg_drivers/driver.py
+++ b/simpeg_drivers/driver.py
@@ -13,6 +13,9 @@
 
 from __future__ import annotations
 
+import cProfile
+import pstats
+
 import multiprocessing
 import contextlib
 from copy import deepcopy
@@ -745,6 +748,8 @@ def get_path(self, filepath: str | Path) -> str:
         if ((n_workers is not None and n_workers > 1) or n_threads is not None)
         else None
     )
+    profiler = cProfile.Profile()
+    profiler.enable()
 
     with (
         cluster.get_client()
@@ -762,3 +767,11 @@ def get_path(self, filepath: str | Path) -> str:
         ):
             InversionDriver.start(input_file)
             sys.stdout.close()
+
+    profiler.disable()
+
+    if save_report:
+        with open(file.parent / "runtime_profile.txt", encoding="utf-8", mode="w") as s:
+            ps = pstats.Stats(profiler, stream=s)
+            ps.sort_stats("cumulative")
+            ps.print_stats()

From 4b22233bd37f07a330c57118e6ce7fa1e24f2f61 Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Thu, 17 Jul 2025 16:18:55 -0700
Subject: [PATCH 02/13] Add even split of kmeans

---
 simpeg_drivers/utils/utils.py | 17 ++++++++++++-----
 1 file changed, 12 insertions(+), 5 deletions(-)

diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index 3a4f5989..965d44b4 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -31,7 +31,9 @@
 from geoh5py.ui_json import InputFile
 from octree_creation_app.utils import octree_2_treemesh
 from scipy.interpolate import LinearNDInterpolator, NearestNDInterpolator, interp1d
+from scipy.optimize import linear_sum_assignment
 from scipy.spatial import ConvexHull, Delaunay, cKDTree
+from scipy.spatial.distance import cdist
 from simpeg.electromagnetics.frequency_domain.sources import (
     LineCurrent as FEMLineCurrent,
 )
@@ -553,10 +555,15 @@ def tile_locations(
             warnings.simplefilter("ignore", category=UserWarning)
             from sklearn.cluster import KMeans
 
-            cluster = KMeans(n_clusters=n_tiles, random_state=0, n_init="auto")
-            cluster.fit_predict(locations[:, :2])
+            kmeans = KMeans(n_clusters=n_tiles, random_state=0, n_init="auto")
+            cluster_size = int(np.ceil(locations.shape[0] / n_tiles))
+            kmeans.fit(locations[:, :2])
+            centers = kmeans.cluster_centers_
+            centers = centers.reshape(-1, 1, 2).repeat(cluster_size, 1).reshape(-1, 2)
+            distance_matrix = cdist(locations[:, :2], centers)
+            labels = linear_sum_assignment(distance_matrix)[1] // cluster_size
 
-        labels = cluster.labels_
+        # labels = cluster.labels_
 
         # nData in each tile
         binCount = np.zeros(int(n_tiles))
@@ -568,7 +575,7 @@ def tile_locations(
         Y2 = np.zeros_like(binCount)
 
         for ii in range(int(n_tiles)):
-            mask = cluster.labels_ == ii
+            mask = labels == ii
             X1[ii] = locations[mask, 0].min()
             X2[ii] = locations[mask, 0].max()
             Y1[ii] = locations[mask, 1].min()
@@ -579,7 +586,7 @@ def tile_locations(
         xy2 = np.c_[X2[binCount > 0], Y2[binCount > 0]]
 
         # Get the tile numbers that exist, for compatibility with the next method
-        tile_id = np.unique(cluster.labels_)
+        tile_id = np.unique(labels)
 
     else:
         # Works on larger problems

From f45b19d5714cd84bbf019e0c4d717e083d119b23 Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Fri, 18 Jul 2025 15:26:54 -0700
Subject: [PATCH 03/13] Create function to cluster for equal area

---
 simpeg_drivers/utils/utils.py | 80 +++++++++++++++++++++++++++--------
 1 file changed, 62 insertions(+), 18 deletions(-)

diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index 965d44b4..6f6fa110 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -507,6 +507,67 @@ def xyz_2_drape_model(
     return model
 
 
+def cluster_locations(locations: np.ndarray, n_tiles: int, equal_area: bool = False):
+    """
+    Cluster 2D locations with a kmeans with a balancing the number of points, or
+    optionally balancing the area of the clusters.
+
+    :param locations: n x 2 array of locations [x,y]
+    :param n_tiles: number of tiles
+    """
+
+    if equal_area:
+        # Bin locations inside regular grid
+        min_locs = np.min(locations, axis=0)
+        max_locs = np.max(locations, axis=0)
+        deltas = (max_locs - min_locs) / (n_tiles * 2)
+
+        x_gates = np.arange(
+            locations[:, 0].min() - deltas[0] / 2,
+            locations[:, 0].max() + deltas[0],
+            deltas[0],
+        )
+        y_gates = np.arange(
+            locations[:, 1].min() - deltas[1] / 2,
+            locations[:, 1].max() + deltas[1],
+            deltas[1],
+        )
+
+        # Find indices of active cells
+        i_loc = np.searchsorted(x_gates, locations[:, 0]) - 1
+        j_loc = np.searchsorted(y_gates, locations[:, 1]) - 1
+
+        in_cell = i_loc + j_loc * (len(x_gates) - 1)
+
+        x_grid, y_grid = np.meshgrid(
+            x_gates[:-1] + deltas[0] / 2, y_gates[:-1] + deltas[1] / 2
+        )
+        u_cell, inv_cell = np.unique(in_cell, return_inverse=True)
+
+        grid_locs = np.c_[x_grid.ravel(), y_grid.ravel()][u_cell, :]
+    else:
+        # Use all locations
+        grid_locs = locations.copy()
+        inv_cell = np.arange(locations.shape[0])
+
+    # Cluster
+    # TODO turn off filter once sklearn has dealt with the issue causing the warning
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", category=UserWarning)
+        from sklearn.cluster import KMeans
+
+        kmeans = KMeans(n_clusters=n_tiles, random_state=0, n_init="auto")
+        cluster_size = int(np.ceil(grid_locs.shape[0] / n_tiles))
+        kmeans.fit(grid_locs)
+
+    centers = kmeans.cluster_centers_
+    centers = centers.reshape(-1, 1, 2).repeat(cluster_size, 1).reshape(-1, 2)
+    distance_matrix = cdist(grid_locs, centers)
+    cell_labels = linear_sum_assignment(distance_matrix)[1] // cluster_size
+
+    return cell_labels[inv_cell]
+
+
 def tile_locations(
     locations,
     n_tiles,
@@ -547,24 +608,7 @@ def tile_locations(
     """
 
     if method == "kmeans":
-        # Best for smaller problems
-
-        # Cluster
-        # TODO turn off filter once sklearn has dealt with the issue causing the warning
-        with warnings.catch_warnings():
-            warnings.simplefilter("ignore", category=UserWarning)
-            from sklearn.cluster import KMeans
-
-            kmeans = KMeans(n_clusters=n_tiles, random_state=0, n_init="auto")
-            cluster_size = int(np.ceil(locations.shape[0] / n_tiles))
-            kmeans.fit(locations[:, :2])
-            centers = kmeans.cluster_centers_
-            centers = centers.reshape(-1, 1, 2).repeat(cluster_size, 1).reshape(-1, 2)
-            distance_matrix = cdist(locations[:, :2], centers)
-            labels = linear_sum_assignment(distance_matrix)[1] // cluster_size
-
-        # labels = cluster.labels_
-
+        labels = cluster_locations(locations[:, :2], n_tiles, equal_area=minimize)
         # nData in each tile
         binCount = np.zeros(int(n_tiles))
 

From 13d072afef37bec9fbadc17323181af8d8e7d809 Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Mon, 21 Jul 2025 17:15:49 -0700
Subject: [PATCH 04/13] Clean up tile_locations. Allow for labels. Add unitests

---
 simpeg_drivers/utils/utils.py | 194 +++++++---------------------------
 tests/locations_test.py       |  82 +++++++++++++-
 2 files changed, 117 insertions(+), 159 deletions(-)

diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index 6f6fa110..5aba4d1c 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -39,7 +39,6 @@
 )
 from simpeg.electromagnetics.time_domain.sources import LineCurrent as TEMLineCurrent
 from simpeg.survey import BaseSurvey
-from simpeg.utils import mkvc
 
 from simpeg_drivers import DRIVER_MAP
 from simpeg_drivers.utils.surveys import (
@@ -507,13 +506,21 @@ def xyz_2_drape_model(
     return model
 
 
-def cluster_locations(locations: np.ndarray, n_tiles: int, equal_area: bool = False):
+def tile_locations(
+    locations: np.ndarray,
+    n_tiles: int,
+    labels: np.ndarray | None = None,
+    equal_area: bool = False,
+) -> list[np.ndarray]:
     """
-    Cluster 2D locations with a kmeans with a balancing the number of points, or
-    optionally balancing the area of the clusters.
+    Function to tile a survey points into smaller square subsets of points
 
-    :param locations: n x 2 array of locations [x,y]
-    :param n_tiles: number of tiles
+    :param locations: Array of locations. Only the horizontal coordinates are used.
+    :param n_tiles: Number of tiles (for 'cluster')
+    :param labels: Array of values to append to the locations
+    :param equal_area: If True, use equal area binning to create tiles.
+
+    :return: List of arrays containing the indices of the points in each tile.
     """
 
     if equal_area:
@@ -547,9 +554,20 @@ def cluster_locations(locations: np.ndarray, n_tiles: int, equal_area: bool = Fa
         grid_locs = np.c_[x_grid.ravel(), y_grid.ravel()][u_cell, :]
     else:
         # Use all locations
-        grid_locs = locations.copy()
+        grid_locs = locations[:, :2].copy()
         inv_cell = np.arange(locations.shape[0])
 
+        # Normalize location coordinates to [0, 1] range
+        grid_locs -= grid_locs.min(axis=0)
+        grid_locs /= grid_locs.max(axis=0)
+
+        if labels is not None:
+            if len(labels) != grid_locs.shape[0]:
+                raise ValueError(
+                    "Labels array must have the same length as the locations array."
+                )
+            grid_locs = np.c_[grid_locs, labels]
+
     # Cluster
     # TODO turn off filter once sklearn has dealt with the issue causing the warning
     with warnings.catch_warnings():
@@ -560,162 +578,22 @@ def cluster_locations(locations: np.ndarray, n_tiles: int, equal_area: bool = Fa
         cluster_size = int(np.ceil(grid_locs.shape[0] / n_tiles))
         kmeans.fit(grid_locs)
 
+    # Redistribute cluster centers to even out the number of points
     centers = kmeans.cluster_centers_
-    centers = centers.reshape(-1, 1, 2).repeat(cluster_size, 1).reshape(-1, 2)
+    centers = (
+        centers.reshape(-1, 1, grid_locs.shape[1])
+        .repeat(cluster_size, 1)
+        .reshape(-1, grid_locs.shape[1])
+    )
     distance_matrix = cdist(grid_locs, centers)
-    cell_labels = linear_sum_assignment(distance_matrix)[1] // cluster_size
-
-    return cell_labels[inv_cell]
-
-
-def tile_locations(
-    locations,
-    n_tiles,
-    minimize=True,
-    method="kmeans",
-    bounding_box=False,
-    count=False,
-    unique_id=False,
-):
-    """
-    Function to tile a survey points into smaller square subsets of points
-
-    :param numpy.ndarray locations: n x 2 array of locations [x,y]
-    :param integer n_tiles: number of tiles (for 'cluster'), or number of
-        refinement steps ('other')
-    :param Bool minimize: shrink tile sizes to minimum
-    :param string method: set to 'kmeans' to use better quality clustering, or anything
-        else to use more memory efficient method for large problems
-    :param bounding_box: bool [False]
-        Return the SW and NE corners of each tile.
-    :param count: bool [False]
-        Return the number of locations in each tile.
-    :param unique_id: bool [False]
-        Return the unique identifiers of all tiles.
-
-    RETURNS:
-    :param list: Return a list of arrays with the for the SW and NE
-                        limits of each tiles
-    :param integer binCount: Number of points in each tile
-    :param list labels: Cluster index of each point n=0:(nTargetTiles-1)
-    :param numpy.array tile_numbers: Vector of tile numbers for each count in binCount
-
-    NOTE: All X Y and xy products are legacy now values, and are only used
-    for plotting functions. They are not used in any calculations and could
-    be dropped from the return calls in future versions.
-
-
-    """
-
-    if method == "kmeans":
-        labels = cluster_locations(locations[:, :2], n_tiles, equal_area=minimize)
-        # nData in each tile
-        binCount = np.zeros(int(n_tiles))
-
-        # x and y limits on each tile
-        X1 = np.zeros_like(binCount)
-        X2 = np.zeros_like(binCount)
-        Y1 = np.zeros_like(binCount)
-        Y2 = np.zeros_like(binCount)
-
-        for ii in range(int(n_tiles)):
-            mask = labels == ii
-            X1[ii] = locations[mask, 0].min()
-            X2[ii] = locations[mask, 0].max()
-            Y1[ii] = locations[mask, 1].min()
-            Y2[ii] = locations[mask, 1].max()
-            binCount[ii] = mask.sum()
-
-        xy1 = np.c_[X1[binCount > 0], Y1[binCount > 0]]
-        xy2 = np.c_[X2[binCount > 0], Y2[binCount > 0]]
-
-        # Get the tile numbers that exist, for compatibility with the next method
-        tile_id = np.unique(labels)
-
-    else:
-        # Works on larger problems
-        # Initialize variables
-        # Test each refinement level for maximum space coverage
-        nTx = 1
-        nTy = 1
-        for _ in range(int(n_tiles + 1)):
-            nTx += 1
-            nTy += 1
-
-            testx = np.percentile(locations[:, 0], np.arange(0, 100, 100 / nTx))
-            testy = np.percentile(locations[:, 1], np.arange(0, 100, 100 / nTy))
-
-            dx = testx[:-1] - testx[1:]
-            dy = testy[:-1] - testy[1:]
-
-            if np.mean(dx) > np.mean(dy):
-                nTx -= 1
-            else:
-                nTy -= 1
-
-            print(nTx, nTy)
-        tilex = np.percentile(locations[:, 0], np.arange(0, 100, 100 / nTx))
-        tiley = np.percentile(locations[:, 1], np.arange(0, 100, 100 / nTy))
-
-        X1, Y1 = np.meshgrid(tilex, tiley)
-        X2, Y2 = np.meshgrid(
-            np.r_[tilex[1:], locations[:, 0].max()],
-            np.r_[tiley[1:], locations[:, 1].max()],
-        )
-
-        # Plot data and tiles
-        X1, Y1, X2, Y2 = mkvc(X1), mkvc(Y1), mkvc(X2), mkvc(Y2)
-        binCount = np.zeros_like(X1)
-        labels = np.zeros_like(locations[:, 0])
-        for ii in range(X1.shape[0]):
-            mask = (
-                (locations[:, 0] >= X1[ii])
-                * (locations[:, 0] <= X2[ii])
-                * (locations[:, 1] >= Y1[ii])
-                * (locations[:, 1] <= Y2[ii])
-            ) == 1
-
-            # Re-adjust the window size for tight fit
-            if minimize:
-                if mask.sum():
-                    X1[ii], X2[ii] = (
-                        locations[:, 0][mask].min(),
-                        locations[:, 0][mask].max(),
-                    )
-                    Y1[ii], Y2[ii] = (
-                        locations[:, 1][mask].min(),
-                        locations[:, 1][mask].max(),
-                    )
-
-            labels[mask] = ii
-            binCount[ii] = mask.sum()
-
-        xy1 = np.c_[X1[binCount > 0], Y1[binCount > 0]]
-        xy2 = np.c_[X2[binCount > 0], Y2[binCount > 0]]
-
-        # Get the tile numbers that exist
-        # Since some tiles may have 0 data locations, and are removed by
-        # [binCount > 0], the tile numbers are no longer contiguous 0:nTiles
-        tile_id = np.unique(labels)
+    labels = linear_sum_assignment(distance_matrix)[1] // cluster_size
+    global_indices = labels[inv_cell]
 
     tiles = []
-    for tid in tile_id.tolist():
-        tiles += [np.where(labels == tid)[0]]
-
-    out = [tiles]
-
-    if bounding_box:
-        out.append([xy1, xy2])
-
-    if count:
-        out.append(binCount[binCount > 0])
-
-    if unique_id:
-        out.append(tile_id)
+    for tid in set(global_indices):
+        tiles += [np.where(global_indices == tid)[0]]
 
-    if len(out) == 1:
-        return out[0]
-    return tuple(out)
+    return tiles
 
 
 def get_containing_cells(
diff --git a/tests/locations_test.py b/tests/locations_test.py
index 6754485d..38217551 100644
--- a/tests/locations_test.py
+++ b/tests/locations_test.py
@@ -14,11 +14,14 @@
 
 import numpy as np
 import pytest
-from geoh5py.objects import Grid2D, Points
+from geoh5py import Workspace
+from geoh5py.objects import Curve, Grid2D, Points
+from scipy.spatial import ConvexHull
 
 from simpeg_drivers.components.locations import InversionLocations
 from simpeg_drivers.options import ActiveCellsOptions
 from simpeg_drivers.potential_fields import MVIInversionOptions
+from simpeg_drivers.utils.utils import tile_locations
 from tests.testing_utils import Geoh5Tester, setup_inversion_workspace
 
 
@@ -105,3 +108,80 @@ def test_filter(tmp_path: Path):
         test_data = {"key": test_data}
         filtered_data = locations.filter(test_data)
         assert np.all(filtered_data["key"] == [2, 3, 4])
+
+
+def test_tile_locations_equal_area(tmp_path: Path):
+    with Workspace.create(tmp_path / f"{__name__}.geoh5") as ws:
+        grid_x, grid_y = np.meshgrid(np.arange(100), np.arange(100))
+        choices = np.c_[grid_x.ravel(), grid_y.ravel(), np.zeros(grid_x.size)]
+        inds = np.random.randint(0, 10000, 1000)
+        pts = Points.create(
+            ws,
+            name="test-points",
+            vertices=choices[inds],
+        )
+        tiles = tile_locations(pts.vertices, n_tiles=8, equal_area=True)
+
+        values = np.zeros(pts.n_vertices)
+        areas = []
+        for ind, tile in enumerate(tiles):
+            values[tile] = ind
+            hull = ConvexHull(pts.vertices[tile, :2])
+            areas.append(hull.area)  # pylint: disable=no-member
+
+        pts.add_data(
+            {
+                "values": {
+                    "values": values,
+                }
+            }
+        )
+        assert np.std(areas) / np.mean(areas) < 0.05, "Areas of tiles are not equal"
+
+
+def test_tile_locations_labels(tmp_path: Path):
+    stn = np.arange(0, 10000, 1000)
+    x_locs = np.kron(stn, np.ones(100)) + np.random.randn(1000) * 10
+    y_locs = np.kron(np.ones(len(stn)), np.arange(100) * 1000)
+    locations = np.c_[x_locs, y_locs, np.random.randn(len(x_locs)) * 100]
+    line_id = np.kron(np.arange(len(stn)), np.ones(100))
+
+    with Workspace.create(tmp_path / f"{__name__}.geoh5") as ws:
+        curve = Curve.create(
+            ws,
+            vertices=locations,
+            parts=line_id,
+        )
+
+        # Test that the tiles are assigned to the correct parts
+        tiles = tile_locations(curve.vertices, n_tiles=10, labels=curve.parts)
+        values = np.zeros(curve.n_vertices)
+        single_part = []
+        for ind, tile in enumerate(tiles):
+            values[tile] = ind
+            single_part.append(len(set(curve.parts[tile])) == 1)
+
+        assert all(single_part)
+
+        curve.add_data(
+            {
+                "values": {
+                    "values": values,
+                }
+            }
+        )
+
+        # Repeat with fewer tiles than parts (at most grab two lines)
+        tiles = tile_locations(curve.vertices, n_tiles=5, labels=curve.parts)
+        values = np.zeros(curve.n_vertices)
+        two_parts = []
+        for ind, tile in enumerate(tiles):
+            values[tile] = ind
+            two_parts.append(len(set(curve.parts[tile])) == 2)
+
+        assert all(two_parts)
+        assert (
+            len({len(tile) for tile in tiles}) == 1
+        )  # All tiles have the same number of vertices
+        with pytest.raises(ValueError, match="Labels array must have the same length"):
+            tile_locations(curve.vertices, n_tiles=8, labels=curve.parts[:-1])

From df39bc1da80eb21fd52d4ed07ef9dd7398fd47ca Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Mon, 21 Jul 2025 17:27:21 -0700
Subject: [PATCH 05/13] Adjust changes to calls

---
 simpeg_drivers/driver.py                              | 2 +-
 simpeg_drivers/electromagnetics/time_domain/driver.py | 2 --
 simpeg_drivers/utils/tile_estimate.py                 | 2 --
 3 files changed, 1 insertion(+), 5 deletions(-)

diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py
index 19f0fc4e..f52cdb94 100644
--- a/simpeg_drivers/driver.py
+++ b/simpeg_drivers/driver.py
@@ -604,7 +604,7 @@ def get_tiles(self):
             tiles = tile_locations(
                 locations,
                 self.params.compute.tile_spatial,
-                method="kmeans",
+                labels=getattr(self.inversion_data.entity, "parts", None),
             )
 
         return tiles
diff --git a/simpeg_drivers/electromagnetics/time_domain/driver.py b/simpeg_drivers/electromagnetics/time_domain/driver.py
index 66b4e779..c77c5e6c 100644
--- a/simpeg_drivers/electromagnetics/time_domain/driver.py
+++ b/simpeg_drivers/electromagnetics/time_domain/driver.py
@@ -55,7 +55,6 @@ def tile_large_group_transmitters(
     tx_tiles = tile_locations(
         np.vstack(locations),
         n_groups,
-        method="kmeans",
     )
     receivers_tx_ids = survey.tx_id_property.values
     tiles = []
@@ -74,7 +73,6 @@ def tile_large_group_transmitters(
         new_tiles = tile_locations(
             survey.vertices[tile],
             2,
-            method="kmeans",
         )
         tiles += [tile[new_tiles[0]], tile[new_tiles[1]]]
 
diff --git a/simpeg_drivers/utils/tile_estimate.py b/simpeg_drivers/utils/tile_estimate.py
index 9fecfdb5..27e03da6 100644
--- a/simpeg_drivers/utils/tile_estimate.py
+++ b/simpeg_drivers/utils/tile_estimate.py
@@ -98,7 +98,6 @@ def get_results(self, max_tiles: int = 13) -> dict:
             tiles = tile_locations(
                 self.locations,
                 count,
-                method="kmeans",
             )
             # Get the median tile
             ind = int(np.argsort([len(tile) for tile in tiles])[int(count / 2)])
@@ -256,7 +255,6 @@ def plot(results: dict, locations: np.ndarray, optimal: int):
         tiles = tile_locations(
             locations,
             optimal,
-            method="kmeans",
         )
         for tile in tiles:
             ax2.scatter(locations[tile, 0], locations[tile, 1], s=1)

From eaca26d0630cdc02cb0cb3136fed9ff7ac2b08f3 Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Tue, 22 Jul 2025 13:33:43 -0700
Subject: [PATCH 06/13] Add part property on inversion_data for tiling

---
 simpeg_drivers/components/data.py | 41 ++++++++++++++++++++++++-------
 tests/data_test.py                | 31 +++++++++++++++++++++--
 2 files changed, 61 insertions(+), 11 deletions(-)

diff --git a/simpeg_drivers/components/data.py b/simpeg_drivers/components/data.py
index 836c17e9..e950ebf5 100644
--- a/simpeg_drivers/components/data.py
+++ b/simpeg_drivers/components/data.py
@@ -11,20 +11,14 @@
 
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Any
-
-
-if TYPE_CHECKING:
-    from geoh5py.workspace import Workspace
-
-    from simpeg_drivers.components.meshes import InversionMesh
-    from simpeg_drivers.options import InversionBaseOptions
-
 from copy import deepcopy
 from re import findall
+from typing import TYPE_CHECKING, Any
 
 import numpy as np
 from discretize import TensorMesh, TreeMesh
+from geoh5py.objects import PotentialElectrode
+from scipy.sparse import csgraph, csr_matrix
 from scipy.spatial import cKDTree
 from simpeg import maps
 from simpeg.electromagnetics.static.utils.static_utils import geometric_factor
@@ -41,6 +35,13 @@
 from .locations import InversionLocations
 
 
+if TYPE_CHECKING:
+    from geoh5py.workspace import Workspace
+
+    from simpeg_drivers.components.meshes import InversionMesh
+    from simpeg_drivers.options import InversionBaseOptions
+
+
 class InversionData(InversionLocations):
     """
     Retrieve and store data from the workspace and apply normalizations.
@@ -139,6 +140,28 @@ def uncertainties(self):
 
         return self._uncertainties
 
+    @property
+    def parts(self):
+        """
+        Return parts indices from the entity.
+        """
+        if isinstance(self.entity, PotentialElectrode):
+            edge_array = csr_matrix(
+                (
+                    np.ones(self.entity.n_cells * 2),
+                    (
+                        np.kron(self.entity.cells[:, 0], [1, 1]),
+                        self.entity.cells.flatten(),
+                    ),
+                ),
+                shape=(self.entity.n_vertices, self.entity.n_vertices),
+            )
+
+            connections = csgraph.connected_components(edge_array)[1]
+            return connections[self.entity.cells[:, 0]]
+
+        return getattr(self.entity, "parts", None)
+
     def drape_locations(self, locations: np.ndarray) -> np.ndarray:
         """
         Return pseudo locations along line in distance, depth.
diff --git a/tests/data_test.py b/tests/data_test.py
index e829caa6..851cdad8 100644
--- a/tests/data_test.py
+++ b/tests/data_test.py
@@ -13,7 +13,6 @@
 from pathlib import Path
 
 import numpy as np
-import pytest
 import simpeg
 from discretize.utils import mesh_builder_xyz
 from geoh5py.objects import Points
@@ -22,6 +21,9 @@
 from octree_creation_app.utils import treemesh_2_octree
 
 from simpeg_drivers.components import InversionData
+from simpeg_drivers.electricals.direct_current.three_dimensions.options import (
+    DC3DForwardOptions,
+)
 from simpeg_drivers.options import ActiveCellsOptions
 from simpeg_drivers.potential_fields.magnetic_vector.driver import (
     MVIInversionDriver,
@@ -29,7 +31,7 @@
 from simpeg_drivers.potential_fields.magnetic_vector.options import (
     MVIInversionOptions,
 )
-from tests.testing_utils import Geoh5Tester, setup_inversion_workspace
+from tests.testing_utils import setup_inversion_workspace
 
 
 def get_mvi_params(tmp_path: Path, **kwargs) -> MVIInversionOptions:
@@ -236,3 +238,28 @@ def test_get_survey(tmp_path: Path):
         data = InversionData(geoh5, params)
         survey = data.create_survey()
         assert isinstance(survey[0], simpeg.potential_fields.magnetics.Survey)
+
+
+def test_data_parts(tmp_path: Path):
+    n_lines = 8
+    geoh5, entity, model, survey, topography = setup_inversion_workspace(
+        tmp_path,
+        background=0.01,
+        anomaly=10,
+        n_electrodes=10,
+        n_lines=n_lines,
+        drape_height=0.0,
+        inversion_type="direct current 3d",
+        flatten=False,
+    )
+    with geoh5.open():
+        params = DC3DForwardOptions.build(
+            geoh5=geoh5,
+            data_object=survey,
+            topography_object=topography,
+            mesh=model.parent,
+            starting_model=model,
+        )
+        data = InversionData(geoh5, params)
+
+        assert len(set(data.parts)) == n_lines

From b37ad24bb1af19b2a233086fe0effcca7cbc4053 Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Tue, 22 Jul 2025 13:38:49 -0700
Subject: [PATCH 07/13] Re-work/simplify tile_estimation

---
 simpeg_drivers/driver.py              | 20 ++++-----
 simpeg_drivers/utils/tile_estimate.py | 31 +++++++-------
 simpeg_drivers/utils/utils.py         | 60 ++++++---------------------
 tests/locations_test.py               | 13 +++---
 4 files changed, 43 insertions(+), 81 deletions(-)

diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py
index f52cdb94..f42f2c5e 100644
--- a/simpeg_drivers/driver.py
+++ b/simpeg_drivers/driver.py
@@ -596,18 +596,16 @@ def get_regularization(self):
 
     def get_tiles(self):
         if "2d" in self.params.inversion_type:
-            tiles = [np.arange(self.inversion_data.mask.sum())]
-        elif "1d" in self.params.inversion_type:
-            tiles = np.arange(self.inversion_data.mask.sum()).reshape((-1, 1))
-        else:
-            locations = self.inversion_data.locations
-            tiles = tile_locations(
-                locations,
-                self.params.compute.tile_spatial,
-                labels=getattr(self.inversion_data.entity, "parts", None),
-            )
+            return [np.arange(self.inversion_data.mask.sum())]
 
-        return tiles
+        if "1d" in self.params.inversion_type:
+            return np.arange(self.inversion_data.mask.sum()).reshape((-1, 1))
+
+        return tile_locations(
+            self.inversion_data.locations,
+            self.params.compute.tile_spatial,
+            labels=self.inversion_data.parts,
+        )
 
     def configure_dask(self):
         """Sets Dask config settings."""
diff --git a/simpeg_drivers/utils/tile_estimate.py b/simpeg_drivers/utils/tile_estimate.py
index 27e03da6..59becb23 100644
--- a/simpeg_drivers/utils/tile_estimate.py
+++ b/simpeg_drivers/utils/tile_estimate.py
@@ -35,6 +35,7 @@
 from tqdm import tqdm
 
 from simpeg_drivers import assets_path
+from simpeg_drivers.components.data import InversionData
 from simpeg_drivers.components.factories.misfit_factory import MisfitFactory
 from simpeg_drivers.driver import InversionDriver
 from simpeg_drivers.utils.utils import (
@@ -75,7 +76,7 @@ class TileEstimator(Driver):
     def __init__(self, params: TileParameters):
         self._driver: InversionDriver | None = None
         self._mesh: TreeMesh | None = None
-        self._locations: np.ndarray | None = None
+        self._data: np.ndarray | None = None
         self._active_cells: np.ndarray | None = None
 
         super().__init__(params)
@@ -92,13 +93,10 @@ def get_results(self, max_tiles: int = 13) -> dict:
             counts.append(max_tiles)
 
         for count in tqdm(counts, desc="Estimating tiles:"):
-            if count > len(self.locations):
+            if count > len(self.data.locations):
                 break
 
-            tiles = tile_locations(
-                self.locations,
-                count,
-            )
+            tiles = tile_locations(self.data.locations, count, labels=self.data.parts)
             # Get the median tile
             ind = int(np.argsort([len(tile) for tile in tiles])[int(count / 2)])
             self.driver.params.compute.tile_spatial = int(count)
@@ -144,7 +142,7 @@ def run(self) -> SimPEGGroup:
             fig_name = "tile_estimator.png"
             logger.info("Saving figure '%s' to disk and to geoh5.", fig_name)
             path = self.params.geoh5.h5file.parent / fig_name
-            figure = self.plot(results, self.locations, optimal)
+            figure = self.plot(results, self.data, optimal)
             figure.savefig(path)
             out_group.add_file(path)
 
@@ -174,14 +172,14 @@ def mesh(self) -> TreeMesh:
         return self._mesh
 
     @property
-    def locations(self) -> np.ndarray:
+    def data(self) -> InversionData:
         """
-        All receiver locations.
+        All receiver data locations.
         """
-        if self._locations is None:
-            self._locations = self.driver.inversion_data.locations
+        if self._data is None:
+            self._data = self.driver.inversion_data
 
-        return self._locations
+        return self._data
 
     @property
     def active_cells(self) -> np.ndarray:
@@ -190,7 +188,7 @@ def active_cells(self) -> np.ndarray:
         """
         if self._active_cells is None:
             self._active_cells = active_from_xyz(
-                self.driver.inversion_mesh.entity, self.locations, method="nearest"
+                self.driver.inversion_mesh.entity, self.data.locations, method="nearest"
             )
         return self._active_cells
 
@@ -230,7 +228,7 @@ def generate_optimal_group(self, optimal: int):
         return out_group
 
     @staticmethod
-    def plot(results: dict, locations: np.ndarray, optimal: int):
+    def plot(results: dict, data: InversionData, optimal: int):
         """
         Plot the results of the tile estimator.
 
@@ -253,11 +251,12 @@ def plot(results: dict, locations: np.ndarray, optimal: int):
 
         ax2 = plt.subplot(2, 1, 2)
         tiles = tile_locations(
-            locations,
+            data.locations,
             optimal,
+            labels=data.parts,
         )
         for tile in tiles:
-            ax2.scatter(locations[tile, 0], locations[tile, 1], s=1)
+            ax2.scatter(data.locations[tile, 0], data.locations[tile, 1], s=1)
 
         ax2.set_xlabel("Easting (m)")
         ax2.set_ylabel("Northing (m)")
diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index 5aba4d1c..275978fb 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -510,63 +510,28 @@ def tile_locations(
     locations: np.ndarray,
     n_tiles: int,
     labels: np.ndarray | None = None,
-    equal_area: bool = False,
 ) -> list[np.ndarray]:
     """
-    Function to tile a survey points into smaller square subsets of points
+    Function to tile a survey points into smaller square subsets of points using
+    a k-means clustering approach.
 
-    :param locations: Array of locations. Only the horizontal coordinates are used.
+    :param locations: Array of locations.
     :param n_tiles: Number of tiles (for 'cluster')
     :param labels: Array of values to append to the locations
-    :param equal_area: If True, use equal area binning to create tiles.
 
     :return: List of arrays containing the indices of the points in each tile.
     """
+    grid_locs = locations[:, :2].copy()
 
-    if equal_area:
-        # Bin locations inside regular grid
-        min_locs = np.min(locations, axis=0)
-        max_locs = np.max(locations, axis=0)
-        deltas = (max_locs - min_locs) / (n_tiles * 2)
-
-        x_gates = np.arange(
-            locations[:, 0].min() - deltas[0] / 2,
-            locations[:, 0].max() + deltas[0],
-            deltas[0],
-        )
-        y_gates = np.arange(
-            locations[:, 1].min() - deltas[1] / 2,
-            locations[:, 1].max() + deltas[1],
-            deltas[1],
-        )
-
-        # Find indices of active cells
-        i_loc = np.searchsorted(x_gates, locations[:, 0]) - 1
-        j_loc = np.searchsorted(y_gates, locations[:, 1]) - 1
-
-        in_cell = i_loc + j_loc * (len(x_gates) - 1)
-
-        x_grid, y_grid = np.meshgrid(
-            x_gates[:-1] + deltas[0] / 2, y_gates[:-1] + deltas[1] / 2
-        )
-        u_cell, inv_cell = np.unique(in_cell, return_inverse=True)
-
-        grid_locs = np.c_[x_grid.ravel(), y_grid.ravel()][u_cell, :]
-    else:
-        # Use all locations
-        grid_locs = locations[:, :2].copy()
-        inv_cell = np.arange(locations.shape[0])
-
+    if labels is not None:
+        if len(labels) != grid_locs.shape[0]:
+            raise ValueError(
+                "Labels array must have the same length as the locations array."
+            )
         # Normalize location coordinates to [0, 1] range
         grid_locs -= grid_locs.min(axis=0)
         grid_locs /= grid_locs.max(axis=0)
-
-        if labels is not None:
-            if len(labels) != grid_locs.shape[0]:
-                raise ValueError(
-                    "Labels array must have the same length as the locations array."
-                )
-            grid_locs = np.c_[grid_locs, labels]
+        grid_locs = np.c_[grid_locs, labels]
 
     # Cluster
     # TODO turn off filter once sklearn has dealt with the issue causing the warning
@@ -587,11 +552,10 @@ def tile_locations(
     )
     distance_matrix = cdist(grid_locs, centers)
     labels = linear_sum_assignment(distance_matrix)[1] // cluster_size
-    global_indices = labels[inv_cell]
 
     tiles = []
-    for tid in set(global_indices):
-        tiles += [np.where(global_indices == tid)[0]]
+    for tid in set(labels):
+        tiles += [np.where(labels == tid)[0]]
 
     return tiles
 
diff --git a/tests/locations_test.py b/tests/locations_test.py
index 38217551..948e8825 100644
--- a/tests/locations_test.py
+++ b/tests/locations_test.py
@@ -110,7 +110,7 @@ def test_filter(tmp_path: Path):
         assert np.all(filtered_data["key"] == [2, 3, 4])
 
 
-def test_tile_locations_equal_area(tmp_path: Path):
+def test_tile_locations(tmp_path: Path):
     with Workspace.create(tmp_path / f"{__name__}.geoh5") as ws:
         grid_x, grid_y = np.meshgrid(np.arange(100), np.arange(100))
         choices = np.c_[grid_x.ravel(), grid_y.ravel(), np.zeros(grid_x.size)]
@@ -120,14 +120,13 @@ def test_tile_locations_equal_area(tmp_path: Path):
             name="test-points",
             vertices=choices[inds],
         )
-        tiles = tile_locations(pts.vertices, n_tiles=8, equal_area=True)
+        tiles = tile_locations(pts.vertices[:, :2], n_tiles=8)
 
         values = np.zeros(pts.n_vertices)
-        areas = []
+        pop = []
         for ind, tile in enumerate(tiles):
             values[tile] = ind
-            hull = ConvexHull(pts.vertices[tile, :2])
-            areas.append(hull.area)  # pylint: disable=no-member
+            pop.append(len(tile))
 
         pts.add_data(
             {
@@ -136,7 +135,9 @@ def test_tile_locations_equal_area(tmp_path: Path):
                 }
             }
         )
-        assert np.std(areas) / np.mean(areas) < 0.05, "Areas of tiles are not equal"
+        assert np.std(pop) / np.mean(pop) < 0.02, (
+            "Population of tiles are not almost equal."
+        )
 
 
 def test_tile_locations_labels(tmp_path: Path):

From a1eb970910952c5956ab0a9b9fc10bc33f78caeb Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Tue, 22 Jul 2025 14:05:31 -0700
Subject: [PATCH 08/13] Only redistribute for non-labels

---
 simpeg_drivers/utils/utils.py | 25 ++++++++++++++-----------
 1 file changed, 14 insertions(+), 11 deletions(-)

diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index 275978fb..25a66b16 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -543,19 +543,22 @@ def tile_locations(
         cluster_size = int(np.ceil(grid_locs.shape[0] / n_tiles))
         kmeans.fit(grid_locs)
 
-    # Redistribute cluster centers to even out the number of points
-    centers = kmeans.cluster_centers_
-    centers = (
-        centers.reshape(-1, 1, grid_locs.shape[1])
-        .repeat(cluster_size, 1)
-        .reshape(-1, grid_locs.shape[1])
-    )
-    distance_matrix = cdist(grid_locs, centers)
-    labels = linear_sum_assignment(distance_matrix)[1] // cluster_size
+    if labels is not None:
+        cluster_id = kmeans.labels_
+    else:
+        # Redistribute cluster centers to even out the number of points
+        centers = kmeans.cluster_centers_
+        centers = (
+            centers.reshape(-1, 1, grid_locs.shape[1])
+            .repeat(cluster_size, 1)
+            .reshape(-1, grid_locs.shape[1])
+        )
+        distance_matrix = cdist(grid_locs, centers)
+        cluster_id = linear_sum_assignment(distance_matrix)[1] // cluster_size
 
     tiles = []
-    for tid in set(labels):
-        tiles += [np.where(labels == tid)[0]]
+    for tid in set(cluster_id):
+        tiles += [np.where(cluster_id == tid)[0]]
 
     return tiles
 

From d39223dbea6fd1912fbb95206aaa01bf65f180ac Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Tue, 22 Jul 2025 15:38:53 -0700
Subject: [PATCH 09/13] Fix issue with zero values

---
 simpeg_drivers/utils/utils.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index 25a66b16..f7812df0 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -530,7 +530,8 @@ def tile_locations(
             )
         # Normalize location coordinates to [0, 1] range
         grid_locs -= grid_locs.min(axis=0)
-        grid_locs /= grid_locs.max(axis=0)
+        max_val = grid_locs.max(axis=0)
+        grid_locs[:, max_val > 0] /= max_val[max_val > 0]
         grid_locs = np.c_[grid_locs, labels]
 
     # Cluster

From 3ff2e9d818666e4576c7d4b1900828c1d8c7f5fd Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Wed, 23 Jul 2025 14:13:58 -0700
Subject: [PATCH 10/13] Save report for non-distributed runs

---
 simpeg_drivers/driver.py | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/simpeg_drivers/driver.py b/simpeg_drivers/driver.py
index f42f2c5e..fc4dc8f5 100644
--- a/simpeg_drivers/driver.py
+++ b/simpeg_drivers/driver.py
@@ -754,13 +754,10 @@ def get_path(self, filepath: str | Path) -> str:
         if cluster is not None
         else contextlib.nullcontext() as client
     ):
-        if not isinstance(client, Client) and save_report:
-            save_report = False
-
         # Full run
         with (
             performance_report(filename=file.parent / "dask_profile.html")
-            if save_report
+            if (save_report and isinstance(client, Client))
             else contextlib.nullcontext()
         ):
             InversionDriver.start(input_file)

From 875bd9931ec27f01780531f35099774ed18aa9d1 Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Thu, 24 Jul 2025 14:55:16 -0700
Subject: [PATCH 11/13] Even out label clusters if < n_tiles

---
 simpeg_drivers/utils/utils.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index f7812df0..c4af3939 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -515,6 +515,9 @@ def tile_locations(
     Function to tile a survey points into smaller square subsets of points using
     a k-means clustering approach.
 
+    If labels are provided and the number of unique labels is less than or equal to
+    the number of tiles, the function will return an even split of the unique labels.
+
     :param locations: Array of locations.
     :param n_tiles: Number of tiles (for 'cluster')
     :param labels: Array of values to append to the locations
@@ -528,6 +531,24 @@ def tile_locations(
             raise ValueError(
                 "Labels array must have the same length as the locations array."
             )
+
+        if len(np.unique(labels)) >= n_tiles:
+            avg_pop = len(labels) // n_tiles
+            u_ids, u_counts = np.unique(labels, return_counts=True)
+            label_groups = [[]]
+            count = 0
+            for u_id, u_count in zip(u_ids, u_counts, strict=False):
+                count += u_count
+                label_groups[-1].append(u_id)
+
+                if count > avg_pop:
+                    label_groups.append([])
+                    count = 0
+
+            return [
+                np.where(np.isin(labels, group))[0] for group in label_groups if group
+            ]
+
         # Normalize location coordinates to [0, 1] range
         grid_locs -= grid_locs.min(axis=0)
         max_val = grid_locs.max(axis=0)

From 657904495cce3e13d0a0c22cdd186268f38558ac Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Fri, 25 Jul 2025 07:47:21 -0700
Subject: [PATCH 12/13] Remove attempt at optimizing the label chunks

---
 simpeg_drivers/utils/utils.py | 17 ++---------------
 1 file changed, 2 insertions(+), 15 deletions(-)

diff --git a/simpeg_drivers/utils/utils.py b/simpeg_drivers/utils/utils.py
index c4af3939..425a2ae4 100644
--- a/simpeg_drivers/utils/utils.py
+++ b/simpeg_drivers/utils/utils.py
@@ -533,21 +533,8 @@ def tile_locations(
             )
 
         if len(np.unique(labels)) >= n_tiles:
-            avg_pop = len(labels) // n_tiles
-            u_ids, u_counts = np.unique(labels, return_counts=True)
-            label_groups = [[]]
-            count = 0
-            for u_id, u_count in zip(u_ids, u_counts, strict=False):
-                count += u_count
-                label_groups[-1].append(u_id)
-
-                if count > avg_pop:
-                    label_groups.append([])
-                    count = 0
-
-            return [
-                np.where(np.isin(labels, group))[0] for group in label_groups if group
-            ]
+            label_groups = np.array_split(np.unique(labels), n_tiles)
+            return [np.where(np.isin(labels, group))[0] for group in label_groups]
 
         # Normalize location coordinates to [0, 1] range
         grid_locs -= grid_locs.min(axis=0)

From 3c1d2ff84bac4d7deb5b4eaa7268aaf1927a72f6 Mon Sep 17 00:00:00 2001
From: dominiquef <dominiquef@mirageoscience.com>
Date: Fri, 25 Jul 2025 09:53:27 -0700
Subject: [PATCH 13/13] Update locks for latest simpeg develop

---
 .../py-3.10-linux-64-dev.conda.lock.yml       |  50 +-
 environments/py-3.10-linux-64.conda.lock.yml  |  28 +-
 .../py-3.10-win-64-dev.conda.lock.yml         |  56 +-
 environments/py-3.10-win-64.conda.lock.yml    |  32 +-
 .../py-3.11-linux-64-dev.conda.lock.yml       |  50 +-
 environments/py-3.11-linux-64.conda.lock.yml  |  28 +-
 .../py-3.11-win-64-dev.conda.lock.yml         |  56 +-
 environments/py-3.11-win-64.conda.lock.yml    |  32 +-
 .../py-3.12-linux-64-dev.conda.lock.yml       |  50 +-
 environments/py-3.12-linux-64.conda.lock.yml  |  28 +-
 .../py-3.12-win-64-dev.conda.lock.yml         |  56 +-
 environments/py-3.12-win-64.conda.lock.yml    |  32 +-
 py-3.10.conda-lock.yml                        | 534 +++++++++---------
 py-3.11.conda-lock.yml                        | 528 +++++++++--------
 py-3.12.conda-lock.yml                        | 528 +++++++++--------
 15 files changed, 1038 insertions(+), 1050 deletions(-)

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 e3da00c0..97960038 100644
--- a/environments/py-3.10-linux-64-dev.conda.lock.yml
+++ b/environments/py-3.10-linux-64-dev.conda.lock.yml
@@ -15,7 +15,7 @@ dependencies:
   - argon2-cffi-bindings=21.2.0=py310ha75aee5_5
   - arrow=1.3.0=pyhd8ed1ab_1
   - asciitree=0.3.3=py_2
-  - astroid=3.3.10=py310hff52083_0
+  - astroid=3.3.11=py310hff52083_0
   - asttokens=3.0.0=pyhd8ed1ab_1
   - async-lru=2.0.5=pyh29332c3_0
   - attrs=25.3.0=pyh71513ae_0
@@ -29,23 +29,23 @@ dependencies:
   - brotli-python=1.1.0=py310hf71b8c6_3
   - bzip2=1.0.8=h4bc722e_7
   - c-ares=1.34.5=hb9d3cd8_0
-  - ca-certificates=2025.7.9=hbd8a1cb_0
+  - ca-certificates=2025.7.14=hbd8a1cb_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py310h8deb56e_0
   - charset-normalizer=3.4.2=pyhd8ed1ab_0
   - click=8.2.1=pyh707e725_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_1
-  - comm=0.2.2=pyhd8ed1ab_1
+  - comm=0.2.3=pyhe01879c_0
   - contourpy=1.3.2=py310h3788b33_0
-  - coverage=7.9.2=py310h89163eb_0
+  - coverage=7.10.0=py310h3406613_0
   - cycler=0.12.1=pyhd8ed1ab_1
   - cytoolz=1.0.1=py310ha75aee5_0
   - dask-core=2025.3.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
-  - debugpy=1.8.14=py310hf71b8c6_0
+  - debugpy=1.8.15=py310h25320af_0
   - decorator=5.2.1=pyhd8ed1ab_0
   - defusedxml=0.7.1=pyhd8ed1ab_0
   - dill=0.4.0=pyhd8ed1ab_0
@@ -55,16 +55,16 @@ dependencies:
   - exceptiongroup=1.3.0=pyhd8ed1ab_0
   - executing=2.2.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py310h89163eb_0
+  - fonttools=4.59.0=py310h3406613_0
   - fqdn=1.5.1=pyhd8ed1ab_1
   - freetype=2.13.3=ha770c72_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py310ha2bacc8_0
   - greenlet=3.2.3=py310hf71b8c6_0
   - h11=0.16.0=pyhd8ed1ab_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py310hea1e86d_100
-  - hdf5=1.14.6=nompi_h6e4c0c1_102
+  - hdf5=1.14.6=nompi_h6e4c0c1_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - httpcore=1.0.9=pyh29332c3_0
   - httpx=0.28.1=pyhd8ed1ab_0
@@ -74,7 +74,6 @@ dependencies:
   - imagesize=1.4.1=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
   - importlib_metadata=8.7.0=h40b2b14_1
-  - importlib_resources=6.5.2=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_1
   - ipykernel=6.29.5=pyh3099207_0
   - ipython=8.37.0=pyh8f84b5b_0
@@ -87,18 +86,18 @@ dependencies:
   - joblib=1.5.1=pyhd8ed1ab_0
   - json5=0.12.0=pyhd8ed1ab_0
   - jsonpointer=3.0.0=py310hff52083_1
-  - jsonschema=4.24.0=pyhd8ed1ab_0
+  - jsonschema=4.25.0=pyhe01879c_0
   - jsonschema-specifications=2025.4.1=pyh29332c3_0
-  - jsonschema-with-format-nongpl=4.24.0=hd8ed1ab_0
+  - jsonschema-with-format-nongpl=4.25.0=he01879c_0
   - jupyter-book=1.0.3=pyhd8ed1ab_1
   - jupyter-cache=1.0.1=pyhff2d567_0
-  - jupyter-lsp=2.2.5=pyhe01879c_2
+  - jupyter-lsp=2.2.6=pyhe01879c_0
   - jupyter_client=8.6.3=pyhd8ed1ab_1
   - jupyter_core=5.8.1=pyh31011fe_0
   - jupyter_events=0.12.0=pyh29332c3_0
   - jupyter_server=2.16.0=pyhe01879c_0
   - jupyter_server_terminals=0.5.3=pyhd8ed1ab_1
-  - jupyterlab=4.4.4=pyhd8ed1ab_0
+  - jupyterlab=4.4.5=pyhd8ed1ab_0
   - jupyterlab_pygments=0.3.0=pyhd8ed1ab_2
   - jupyterlab_server=2.27.3=pyhd8ed1ab_1
   - jupyterlab_widgets=1.1.11=pyhd8ed1ab_0
@@ -106,6 +105,7 @@ dependencies:
   - keyutils=1.6.1=h166bdaf_0
   - kiwisolver=1.4.8=py310h3788b33_1
   - krb5=1.21.3=h659f571_0
+  - lark=1.2.2=pyhd8ed1ab_1
   - latexcodec=2.0.1=pyh9f0ad1d_0
   - lcms2=2.17=h717163a_0
   - ld_impl_linux-64=2.44=h1423503_1
@@ -121,7 +121,7 @@ dependencies:
   - libdlf=0.3.0=pyhd8ed1ab_1
   - libedit=3.1.20250104=pl5321h7949ede_0
   - libev=4.33=hd590300_2
-  - libexpat=2.7.0=h5888daf_0
+  - libexpat=2.7.1=hecca717_0
   - libffi=3.4.6=h2dba641_1
   - libfreetype=2.13.3=ha770c72_1
   - libfreetype6=2.13.3=h48d6fc4_1
@@ -129,7 +129,7 @@ dependencies:
   - libgcc-ng=15.1.0=h69a702a_3
   - libgfortran=15.1.0=h69a702a_3
   - libgfortran5=15.1.0=hcea5267_3
-  - libhwloc=2.11.2=default_h0d58e46_1001
+  - libhwloc=2.11.2=default_h3d81e11_1002
   - libiconv=1.18=h4ce23a2_1
   - libjpeg-turbo=3.1.0=hb9d3cd8_0
   - liblapack=3.9.0=32_hc41d3b0_mkl
@@ -140,7 +140,7 @@ dependencies:
   - libscotch=7.0.6=hea33c07_1
   - libsodium=1.0.20=h4ab18f5_0
   - libspatialindex=2.0.0=he02047a_0
-  - libsqlite=3.50.2=hee844dc_2
+  - libsqlite=3.50.3=hee844dc_1
   - libssh2=1.11.1=hcf80075_0
   - libstdcxx=15.1.0=h8f9b012_3
   - libstdcxx-ng=15.1.0=h4852527_3
@@ -152,7 +152,7 @@ dependencies:
   - libxml2=2.13.8=h4bc477f_0
   - libzlib=1.3.1=hb9d3cd8_2
   - linkify-it-py=2.0.3=pyhd8ed1ab_1
-  - llvm-openmp=20.1.7=h024ca30_0
+  - llvm-openmp=20.1.8=h4922eb0_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markdown-it-py=2.2.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py310h89163eb_1
@@ -163,12 +163,12 @@ dependencies:
   - mdurl=0.1.2=pyhd8ed1ab_1
   - metis=5.1.0=hd0bcaf9_1007
   - mistune=3.1.3=pyh29332c3_0
-  - mkl=2024.2.2=ha957f24_16
+  - mkl=2024.2.2=ha770c72_16
   - msgpack-python=1.1.1=py310h3788b33_0
   - mumps-include=5.7.3=h82cca05_10
   - mumps-seq=5.7.3=h06cbf8f_10
   - munkres=1.1.4=pyhd8ed1ab_1
-  - myst-nb=1.2.0=pyh29332c3_0
+  - myst-nb=1.3.0=pyhe01879c_0
   - myst-parser=1.0.0=pyhd8ed1ab_0
   - nbclient=0.10.2=pyhd8ed1ab_0
   - nbconvert=7.16.6=hb482800_0
@@ -194,7 +194,6 @@ dependencies:
   - pickleshare=0.7.5=pyhd8ed1ab_1004
   - pillow=10.3.0=py310hebfe307_1
   - pip=25.1.1=pyh8b19718_0
-  - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_2
   - platformdirs=4.3.8=pyhe01879c_0
   - pluggy=1.6.0=pyhd8ed1ab_0
   - prometheus_client=0.22.1=pyhd8ed1ab_0
@@ -223,7 +222,7 @@ dependencies:
   - python-json-logger=2.0.7=pyhd8ed1ab_0
   - python-mumps=0.0.3=py310h6410a28_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.10=7_cp310
+  - python_abi=3.10=8_cp310
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py310h89163eb_2
   - pyzmq=27.0.0=py310h71f11fc_0
@@ -233,13 +232,14 @@ dependencies:
   - requests=2.32.4=pyhd8ed1ab_0
   - rfc3339-validator=0.1.4=pyhd8ed1ab_1
   - rfc3986-validator=0.1.1=pyh9f0ad1d_0
+  - rfc3987-syntax=1.1.0=pyhe01879c_1
   - rpds-py=0.26.0=py310hbcd0ec0_0
   - rtree=1.2.0=py310haf1e407_1
   - scikit-learn=1.4.2=py310h981052a_1
   - scipy=1.14.1=py310hfcf56fc_2
   - send2trash=1.8.3=pyh0d859eb_1
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sniffio=1.3.1=pyhd8ed1ab_1
   - snowballstemmer=3.0.1=pyhd8ed1ab_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
@@ -306,8 +306,8 @@ dependencies:
   - zstd=1.5.7=hb8e6e7a_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.10-linux-64.conda.lock.yml b/environments/py-3.10-linux-64.conda.lock.yml
index 9c0c937c..c115b8cd 100644
--- a/environments/py-3.10-linux-64.conda.lock.yml
+++ b/environments/py-3.10-linux-64.conda.lock.yml
@@ -15,10 +15,10 @@ dependencies:
   - brotli-python=1.1.0=py310hf71b8c6_3
   - bzip2=1.0.8=h4bc722e_7
   - c-ares=1.34.5=hb9d3cd8_0
-  - ca-certificates=2025.7.9=hbd8a1cb_0
+  - ca-certificates=2025.7.14=hbd8a1cb_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py310h8deb56e_0
   - click=8.2.1=pyh707e725_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
@@ -30,13 +30,13 @@ dependencies:
   - discretize=0.11.3=py310ha2bacc8_0
   - distributed=2025.3.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py310h89163eb_0
+  - fonttools=4.59.0=py310h3406613_0
   - freetype=2.13.3=ha770c72_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py310ha2bacc8_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py310hea1e86d_100
-  - hdf5=1.14.6=nompi_h6e4c0c1_102
+  - hdf5=1.14.6=nompi_h6e4c0c1_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - hyperframe=6.1.0=pyhd8ed1ab_0
   - icu=75.1=he02047a_0
@@ -60,7 +60,7 @@ dependencies:
   - libdlf=0.3.0=pyhd8ed1ab_1
   - libedit=3.1.20250104=pl5321h7949ede_0
   - libev=4.33=hd590300_2
-  - libexpat=2.7.0=h5888daf_0
+  - libexpat=2.7.1=hecca717_0
   - libffi=3.4.6=h2dba641_1
   - libfreetype=2.13.3=ha770c72_1
   - libfreetype6=2.13.3=h48d6fc4_1
@@ -68,7 +68,7 @@ dependencies:
   - libgcc-ng=15.1.0=h69a702a_3
   - libgfortran=15.1.0=h69a702a_3
   - libgfortran5=15.1.0=hcea5267_3
-  - libhwloc=2.11.2=default_h0d58e46_1001
+  - libhwloc=2.11.2=default_h3d81e11_1002
   - libiconv=1.18=h4ce23a2_1
   - libjpeg-turbo=3.1.0=hb9d3cd8_0
   - liblapack=3.9.0=32_hc41d3b0_mkl
@@ -78,7 +78,7 @@ dependencies:
   - libpng=1.6.50=h943b412_0
   - libscotch=7.0.6=hea33c07_1
   - libspatialindex=2.0.0=he02047a_0
-  - libsqlite=3.50.2=hee844dc_2
+  - libsqlite=3.50.3=hee844dc_1
   - libssh2=1.11.1=hcf80075_0
   - libstdcxx=15.1.0=h8f9b012_3
   - libstdcxx-ng=15.1.0=h4852527_3
@@ -89,12 +89,12 @@ dependencies:
   - libxcrypt=4.4.36=hd590300_1
   - libxml2=2.13.8=h4bc477f_0
   - libzlib=1.3.1=hb9d3cd8_2
-  - llvm-openmp=20.1.7=h024ca30_0
+  - llvm-openmp=20.1.8=h4922eb0_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py310h89163eb_1
   - matplotlib-base=3.8.4=py310hef631a5_2
   - metis=5.1.0=hd0bcaf9_1007
-  - mkl=2024.2.2=ha957f24_16
+  - mkl=2024.2.2=ha770c72_16
   - msgpack-python=1.1.1=py310h3788b33_0
   - mumps-include=5.7.3=h82cca05_10
   - mumps-seq=5.7.3=h06cbf8f_10
@@ -122,7 +122,7 @@ dependencies:
   - python-dateutil=2.9.0.post0=pyhe01879c_2
   - python-mumps=0.0.3=py310h6410a28_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.10=7_cp310
+  - python_abi=3.10=8_cp310
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py310h89163eb_2
   - readline=8.2=h8c095d6_2
@@ -130,7 +130,7 @@ dependencies:
   - scikit-learn=1.4.2=py310h981052a_1
   - scipy=1.14.1=py310hfcf56fc_2
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
   - tbb=2021.13.0=hceb3a55_1
   - tblib=3.1.0=pyhd8ed1ab_0
@@ -158,8 +158,8 @@ dependencies:
   - zstd=1.5.7=hb8e6e7a_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
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 5289e830..49759573 100644
--- a/environments/py-3.10-win-64-dev.conda.lock.yml
+++ b/environments/py-3.10-win-64-dev.conda.lock.yml
@@ -15,7 +15,7 @@ dependencies:
   - argon2-cffi-bindings=21.2.0=py310ha8f682b_5
   - arrow=1.3.0=pyhd8ed1ab_1
   - asciitree=0.3.3=py_2
-  - astroid=3.3.10=py310h5588dad_0
+  - astroid=3.3.11=py310h5588dad_0
   - asttokens=3.0.0=pyhd8ed1ab_1
   - async-lru=2.0.5=pyh29332c3_0
   - attrs=25.3.0=pyh71513ae_0
@@ -28,24 +28,24 @@ dependencies:
   - brotli-bin=1.1.0=h2466b09_3
   - brotli-python=1.1.0=py310h9e98ed7_3
   - bzip2=1.0.8=h2466b09_7
-  - ca-certificates=2025.7.9=h4c7d964_0
+  - ca-certificates=2025.7.14=h4c7d964_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py310ha8f682b_0
   - charset-normalizer=3.4.2=pyhd8ed1ab_0
   - click=8.2.1=pyh7428d3b_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_1
-  - comm=0.2.2=pyhd8ed1ab_1
+  - comm=0.2.3=pyhe01879c_0
   - contourpy=1.3.2=py310hc19bc0b_0
-  - coverage=7.9.2=py310hdb0e946_0
+  - coverage=7.10.0=py310hdb0e946_0
   - cpython=3.10.18=py310hd8ed1ab_0
   - cycler=0.12.1=pyhd8ed1ab_1
   - cytoolz=1.0.1=py310ha8f682b_0
   - dask-core=2025.3.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
-  - debugpy=1.8.14=py310h9e98ed7_0
+  - debugpy=1.8.15=py310h699e580_0
   - decorator=5.2.1=pyhd8ed1ab_0
   - defusedxml=0.7.1=pyhd8ed1ab_0
   - dill=0.4.0=pyhd8ed1ab_0
@@ -55,16 +55,16 @@ dependencies:
   - exceptiongroup=1.3.0=pyhd8ed1ab_0
   - executing=2.2.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py310hdb0e946_0
+  - fonttools=4.59.0=py310hdb0e946_0
   - fqdn=1.5.1=pyhd8ed1ab_1
   - freetype=2.13.3=h57928b3_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py310h3e8ed56_0
   - greenlet=3.2.3=py310h9e98ed7_0
   - h11=0.16.0=pyhd8ed1ab_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py310h877c39c_100
-  - hdf5=1.14.6=nompi_he30205f_102
+  - hdf5=1.14.6=nompi_he30205f_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - httpcore=1.0.9=pyh29332c3_0
   - httpx=0.28.1=pyhd8ed1ab_0
@@ -73,7 +73,6 @@ dependencies:
   - imagesize=1.4.1=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
   - importlib_metadata=8.7.0=h40b2b14_1
-  - importlib_resources=6.5.2=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_1
   - intel-openmp=2024.2.1=h57928b3_1083
   - ipykernel=6.29.5=pyh4bbf305_0
@@ -87,24 +86,25 @@ dependencies:
   - joblib=1.5.1=pyhd8ed1ab_0
   - json5=0.12.0=pyhd8ed1ab_0
   - jsonpointer=3.0.0=py310h5588dad_1
-  - jsonschema=4.24.0=pyhd8ed1ab_0
+  - jsonschema=4.25.0=pyhe01879c_0
   - jsonschema-specifications=2025.4.1=pyh29332c3_0
-  - jsonschema-with-format-nongpl=4.24.0=hd8ed1ab_0
+  - jsonschema-with-format-nongpl=4.25.0=he01879c_0
   - jupyter-book=1.0.3=pyhd8ed1ab_1
   - jupyter-cache=1.0.1=pyhff2d567_0
-  - jupyter-lsp=2.2.5=pyhe01879c_2
+  - jupyter-lsp=2.2.6=pyhe01879c_0
   - jupyter_client=8.6.3=pyhd8ed1ab_1
   - jupyter_core=5.8.1=pyh5737063_0
   - jupyter_events=0.12.0=pyh29332c3_0
   - jupyter_server=2.16.0=pyhe01879c_0
   - jupyter_server_terminals=0.5.3=pyhd8ed1ab_1
-  - jupyterlab=4.4.4=pyhd8ed1ab_0
+  - jupyterlab=4.4.5=pyhd8ed1ab_0
   - jupyterlab_pygments=0.3.0=pyhd8ed1ab_2
   - jupyterlab_server=2.27.3=pyhd8ed1ab_1
   - jupyterlab_widgets=1.1.11=pyhd8ed1ab_0
   - jupytext=1.17.2=pyh80e38bb_0
   - kiwisolver=1.4.8=py310he9f1925_1
   - krb5=1.21.3=hdf4eb48_0
+  - lark=1.2.2=pyhd8ed1ab_1
   - latexcodec=2.0.1=pyh9f0ad1d_0
   - lcms2=2.17=hbcf6048_0
   - lerc=4.0.0=h6470a55_1
@@ -117,13 +117,13 @@ dependencies:
   - libcurl=8.14.1=h88aaa65_0
   - libdeflate=1.24=h76ddb4d_0
   - libdlf=0.3.0=pyhd8ed1ab_1
-  - libexpat=2.7.0=he0c23c2_0
+  - libexpat=2.7.1=hac47afa_0
   - libffi=3.4.6=h537db12_1
   - libfreetype=2.13.3=h57928b3_1
   - libfreetype6=2.13.3=h0b5ce68_1
   - libgcc=15.1.0=h1383e82_3
   - libgomp=15.1.0=h1383e82_3
-  - libhwloc=2.11.2=default_ha69328c_1001
+  - libhwloc=2.11.2=default_h88281d1_1002
   - libiconv=1.18=h135ad9c_1
   - libjpeg-turbo=3.1.0=h2466b09_0
   - liblapack=3.9.0=32_h1aa476e_mkl
@@ -131,7 +131,7 @@ dependencies:
   - libpng=1.6.50=h95bef1e_0
   - libsodium=1.0.20=hc70643c_0
   - libspatialindex=2.0.0=h5a68840_0
-  - libsqlite=3.50.2=hf5d6505_2
+  - libsqlite=3.50.3=hf5d6505_1
   - libssh2=1.11.1=h9aa295b_0
   - libtiff=4.7.0=h05922d8_5
   - libwebp-base=1.6.0=h4d5522a_0
@@ -140,7 +140,7 @@ dependencies:
   - libxml2=2.13.8=h442d1da_0
   - libzlib=1.3.1=h2466b09_2
   - linkify-it-py=2.0.3=pyhd8ed1ab_1
-  - llvm-openmp=20.1.7=h30eaf37_0
+  - llvm-openmp=20.1.8=hfa2b4ca_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markdown-it-py=2.2.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py310h38315fa_1
@@ -154,7 +154,7 @@ dependencies:
   - msgpack-python=1.1.1=py310hc19bc0b_0
   - mumps-seq=5.7.3=hbaa6519_10
   - munkres=1.1.4=pyhd8ed1ab_1
-  - myst-nb=1.2.0=pyh29332c3_0
+  - myst-nb=1.3.0=pyhe01879c_0
   - myst-parser=1.0.0=pyhd8ed1ab_0
   - nbclient=0.10.2=pyhd8ed1ab_0
   - nbconvert=7.16.6=hb482800_0
@@ -178,7 +178,6 @@ dependencies:
   - pickleshare=0.7.5=pyhd8ed1ab_1004
   - pillow=10.3.0=py310h3e38d90_1
   - pip=25.1.1=pyh8b19718_0
-  - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_2
   - platformdirs=4.3.8=pyhe01879c_0
   - pluggy=1.6.0=pyhd8ed1ab_0
   - prometheus_client=0.22.1=pyhd8ed1ab_0
@@ -206,9 +205,9 @@ dependencies:
   - python-json-logger=2.0.7=pyhd8ed1ab_0
   - python-mumps=0.0.3=py310hb64895d_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.10=7_cp310
+  - python_abi=3.10=8_cp310
   - pytz=2025.2=pyhd8ed1ab_0
-  - pywin32=307=py310h9e98ed7_3
+  - pywin32=311=py310h282bd7d_0
   - pywinpty=2.0.15=py310h9e98ed7_0
   - pyyaml=6.0.2=py310h38315fa_2
   - pyzmq=27.0.0=py310h656833d_0
@@ -217,13 +216,14 @@ dependencies:
   - requests=2.32.4=pyhd8ed1ab_0
   - rfc3339-validator=0.1.4=pyhd8ed1ab_1
   - rfc3986-validator=0.1.1=pyh9f0ad1d_0
+  - rfc3987-syntax=1.1.0=pyhe01879c_1
   - rpds-py=0.26.0=py310h034784e_0
   - rtree=1.2.0=py310h08d5ad2_1
   - scikit-learn=1.4.2=py310hf2a6c47_1
   - scipy=1.14.1=py310hbd0dde3_2
   - send2trash=1.8.3=pyh5737063_1
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sniffio=1.3.1=pyhd8ed1ab_1
   - snowballstemmer=3.0.1=pyhd8ed1ab_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
@@ -273,9 +273,9 @@ dependencies:
   - unicodedata2=16.0.0=py310ha8f682b_0
   - uri-template=1.3.0=pyhd8ed1ab_1
   - urllib3=2.5.0=pyhd8ed1ab_0
-  - vc=14.3=h41ae7f8_26
-  - vc14_runtime=14.44.35208=h818238b_26
-  - vs2015_runtime=14.44.35208=h38c0c73_26
+  - vc=14.3=h2b53caa_30
+  - vc14_runtime=14.44.35208=h818238b_30
+  - vs2015_runtime=14.44.35208=h38c0c73_30
   - wcwidth=0.2.13=pyhd8ed1ab_1
   - webcolors=24.11.1=pyhd8ed1ab_0
   - webencodings=0.5.1=pyhd8ed1ab_3
@@ -296,8 +296,8 @@ dependencies:
   - zstd=1.5.7=hbeecb71_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.10-win-64.conda.lock.yml b/environments/py-3.10-win-64.conda.lock.yml
index e2790f8a..1d5e1509 100644
--- a/environments/py-3.10-win-64.conda.lock.yml
+++ b/environments/py-3.10-win-64.conda.lock.yml
@@ -14,10 +14,10 @@ dependencies:
   - brotli-bin=1.1.0=h2466b09_3
   - brotli-python=1.1.0=py310h9e98ed7_3
   - bzip2=1.0.8=h2466b09_7
-  - ca-certificates=2025.7.9=h4c7d964_0
+  - ca-certificates=2025.7.14=h4c7d964_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py310ha8f682b_0
   - click=8.2.1=pyh7428d3b_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
@@ -29,13 +29,13 @@ dependencies:
   - discretize=0.11.3=py310h3e8ed56_0
   - distributed=2025.3.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py310hdb0e946_0
+  - fonttools=4.59.0=py310hdb0e946_0
   - freetype=2.13.3=h57928b3_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py310h3e8ed56_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py310h877c39c_100
-  - hdf5=1.14.6=nompi_he30205f_102
+  - hdf5=1.14.6=nompi_he30205f_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - hyperframe=6.1.0=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
@@ -55,20 +55,20 @@ dependencies:
   - libcurl=8.14.1=h88aaa65_0
   - libdeflate=1.24=h76ddb4d_0
   - libdlf=0.3.0=pyhd8ed1ab_1
-  - libexpat=2.7.0=he0c23c2_0
+  - libexpat=2.7.1=hac47afa_0
   - libffi=3.4.6=h537db12_1
   - libfreetype=2.13.3=h57928b3_1
   - libfreetype6=2.13.3=h0b5ce68_1
   - libgcc=15.1.0=h1383e82_3
   - libgomp=15.1.0=h1383e82_3
-  - libhwloc=2.11.2=default_ha69328c_1001
+  - libhwloc=2.11.2=default_h88281d1_1002
   - libiconv=1.18=h135ad9c_1
   - libjpeg-turbo=3.1.0=h2466b09_0
   - liblapack=3.9.0=32_h1aa476e_mkl
   - liblzma=5.8.1=h2466b09_2
   - libpng=1.6.50=h95bef1e_0
   - libspatialindex=2.0.0=h5a68840_0
-  - libsqlite=3.50.2=hf5d6505_2
+  - libsqlite=3.50.3=hf5d6505_1
   - libssh2=1.11.1=h9aa295b_0
   - libtiff=4.7.0=h05922d8_5
   - libwebp-base=1.6.0=h4d5522a_0
@@ -76,7 +76,7 @@ dependencies:
   - libxcb=1.17.0=h0e4246c_0
   - libxml2=2.13.8=h442d1da_0
   - libzlib=1.3.1=h2466b09_2
-  - llvm-openmp=20.1.7=h30eaf37_0
+  - llvm-openmp=20.1.8=hfa2b4ca_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py310h38315fa_1
   - matplotlib-base=3.8.4=py310hadb10a8_2
@@ -106,14 +106,14 @@ dependencies:
   - python-dateutil=2.9.0.post0=pyhe01879c_2
   - python-mumps=0.0.3=py310hb64895d_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.10=7_cp310
+  - python_abi=3.10=8_cp310
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py310h38315fa_2
   - rtree=1.2.0=py310h08d5ad2_1
   - scikit-learn=1.4.2=py310hf2a6c47_1
   - scipy=1.14.1=py310hbd0dde3_2
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
   - tbb=2021.13.0=h62715c5_1
   - tblib=3.1.0=pyhd8ed1ab_0
@@ -130,9 +130,9 @@ dependencies:
   - ucrt=10.0.22621.0=h57928b3_1
   - unicodedata2=16.0.0=py310ha8f682b_0
   - urllib3=2.5.0=pyhd8ed1ab_0
-  - vc=14.3=h41ae7f8_26
-  - vc14_runtime=14.44.35208=h818238b_26
-  - vs2015_runtime=14.44.35208=h38c0c73_26
+  - vc=14.3=h2b53caa_30
+  - vc14_runtime=14.44.35208=h818238b_30
+  - vs2015_runtime=14.44.35208=h38c0c73_30
   - wheel=0.45.1=pyhd8ed1ab_1
   - win_inet_pton=1.1.0=pyh7428d3b_8
   - xorg-libxau=1.0.12=h0e40799_0
@@ -146,8 +146,8 @@ dependencies:
   - zstd=1.5.7=hbeecb71_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.11-linux-64-dev.conda.lock.yml b/environments/py-3.11-linux-64-dev.conda.lock.yml
index 1da8726e..53a3b091 100644
--- a/environments/py-3.11-linux-64-dev.conda.lock.yml
+++ b/environments/py-3.11-linux-64-dev.conda.lock.yml
@@ -15,7 +15,7 @@ dependencies:
   - argon2-cffi-bindings=21.2.0=py311h9ecbd09_5
   - arrow=1.3.0=pyhd8ed1ab_1
   - asciitree=0.3.3=py_2
-  - astroid=3.3.10=py311h38be061_0
+  - astroid=3.3.11=py311h38be061_0
   - asttokens=3.0.0=pyhd8ed1ab_1
   - async-lru=2.0.5=pyh29332c3_0
   - attrs=25.3.0=pyh71513ae_0
@@ -29,23 +29,23 @@ dependencies:
   - brotli-python=1.1.0=py311hfdbb021_3
   - bzip2=1.0.8=h4bc722e_7
   - c-ares=1.34.5=hb9d3cd8_0
-  - ca-certificates=2025.7.9=hbd8a1cb_0
+  - ca-certificates=2025.7.14=hbd8a1cb_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py311hf29c0ef_0
   - charset-normalizer=3.4.2=pyhd8ed1ab_0
   - click=8.2.1=pyh707e725_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_1
-  - comm=0.2.2=pyhd8ed1ab_1
+  - comm=0.2.3=pyhe01879c_0
   - contourpy=1.3.2=py311hd18a35c_0
-  - coverage=7.9.2=py311h2dc5d0c_0
+  - coverage=7.10.0=py311h3778330_0
   - cycler=0.12.1=pyhd8ed1ab_1
   - cytoolz=1.0.1=py311h9ecbd09_0
   - dask-core=2025.3.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
-  - debugpy=1.8.14=py311hfdbb021_0
+  - debugpy=1.8.15=py311hc665b79_0
   - decorator=5.2.1=pyhd8ed1ab_0
   - defusedxml=0.7.1=pyhd8ed1ab_0
   - deprecated=1.2.18=pyhd8ed1ab_0
@@ -56,16 +56,16 @@ dependencies:
   - exceptiongroup=1.3.0=pyhd8ed1ab_0
   - executing=2.2.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py311h2dc5d0c_0
+  - fonttools=4.59.0=py311h3778330_0
   - fqdn=1.5.1=pyhd8ed1ab_1
   - freetype=2.13.3=ha770c72_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py311h5b7b71f_0
   - greenlet=3.2.3=py311hfdbb021_0
   - h11=0.16.0=pyhd8ed1ab_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py311h7f87ba5_100
-  - hdf5=1.14.6=nompi_h6e4c0c1_102
+  - hdf5=1.14.6=nompi_h6e4c0c1_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - httpcore=1.0.9=pyh29332c3_0
   - httpx=0.28.1=pyhd8ed1ab_0
@@ -75,7 +75,6 @@ dependencies:
   - imagesize=1.4.1=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
   - importlib_metadata=8.7.0=h40b2b14_1
-  - importlib_resources=6.5.2=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_1
   - ipykernel=6.29.5=pyh3099207_0
   - ipython=9.4.0=pyhfa0c392_0
@@ -89,18 +88,18 @@ dependencies:
   - joblib=1.5.1=pyhd8ed1ab_0
   - json5=0.12.0=pyhd8ed1ab_0
   - jsonpointer=3.0.0=py311h38be061_1
-  - jsonschema=4.24.0=pyhd8ed1ab_0
+  - jsonschema=4.25.0=pyhe01879c_0
   - jsonschema-specifications=2025.4.1=pyh29332c3_0
-  - jsonschema-with-format-nongpl=4.24.0=hd8ed1ab_0
+  - jsonschema-with-format-nongpl=4.25.0=he01879c_0
   - jupyter-book=1.0.3=pyhd8ed1ab_1
   - jupyter-cache=1.0.1=pyhff2d567_0
-  - jupyter-lsp=2.2.5=pyhe01879c_2
+  - jupyter-lsp=2.2.6=pyhe01879c_0
   - jupyter_client=8.6.3=pyhd8ed1ab_1
   - jupyter_core=5.8.1=pyh31011fe_0
   - jupyter_events=0.12.0=pyh29332c3_0
   - jupyter_server=2.16.0=pyhe01879c_0
   - jupyter_server_terminals=0.5.3=pyhd8ed1ab_1
-  - jupyterlab=4.4.4=pyhd8ed1ab_0
+  - jupyterlab=4.4.5=pyhd8ed1ab_0
   - jupyterlab_pygments=0.3.0=pyhd8ed1ab_2
   - jupyterlab_server=2.27.3=pyhd8ed1ab_1
   - jupyterlab_widgets=1.1.11=pyhd8ed1ab_0
@@ -108,6 +107,7 @@ dependencies:
   - keyutils=1.6.1=h166bdaf_0
   - kiwisolver=1.4.8=py311hd18a35c_1
   - krb5=1.21.3=h659f571_0
+  - lark=1.2.2=pyhd8ed1ab_1
   - latexcodec=2.0.1=pyh9f0ad1d_0
   - lcms2=2.17=h717163a_0
   - ld_impl_linux-64=2.44=h1423503_1
@@ -123,7 +123,7 @@ dependencies:
   - libdlf=0.3.0=pyhd8ed1ab_1
   - libedit=3.1.20250104=pl5321h7949ede_0
   - libev=4.33=hd590300_2
-  - libexpat=2.7.0=h5888daf_0
+  - libexpat=2.7.1=hecca717_0
   - libffi=3.4.6=h2dba641_1
   - libfreetype=2.13.3=ha770c72_1
   - libfreetype6=2.13.3=h48d6fc4_1
@@ -131,7 +131,7 @@ dependencies:
   - libgcc-ng=15.1.0=h69a702a_3
   - libgfortran=15.1.0=h69a702a_3
   - libgfortran5=15.1.0=hcea5267_3
-  - libhwloc=2.11.2=default_h0d58e46_1001
+  - libhwloc=2.11.2=default_h3d81e11_1002
   - libiconv=1.18=h4ce23a2_1
   - libjpeg-turbo=3.1.0=hb9d3cd8_0
   - liblapack=3.9.0=32_hc41d3b0_mkl
@@ -142,7 +142,7 @@ dependencies:
   - libscotch=7.0.6=hea33c07_1
   - libsodium=1.0.20=h4ab18f5_0
   - libspatialindex=2.0.0=he02047a_0
-  - libsqlite=3.50.2=hee844dc_2
+  - libsqlite=3.50.3=hee844dc_1
   - libssh2=1.11.1=hcf80075_0
   - libstdcxx=15.1.0=h8f9b012_3
   - libstdcxx-ng=15.1.0=h4852527_3
@@ -154,7 +154,7 @@ dependencies:
   - libxml2=2.13.8=h4bc477f_0
   - libzlib=1.3.1=hb9d3cd8_2
   - linkify-it-py=2.0.3=pyhd8ed1ab_1
-  - llvm-openmp=20.1.7=h024ca30_0
+  - llvm-openmp=20.1.8=h4922eb0_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markdown-it-py=2.2.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py311h2dc5d0c_1
@@ -165,12 +165,12 @@ dependencies:
   - mdurl=0.1.2=pyhd8ed1ab_1
   - metis=5.1.0=hd0bcaf9_1007
   - mistune=3.1.3=pyh29332c3_0
-  - mkl=2024.2.2=ha957f24_16
+  - mkl=2024.2.2=ha770c72_16
   - msgpack-python=1.1.1=py311hd18a35c_0
   - mumps-include=5.7.3=h82cca05_10
   - mumps-seq=5.7.3=h06cbf8f_10
   - munkres=1.1.4=pyhd8ed1ab_1
-  - myst-nb=1.2.0=pyh29332c3_0
+  - myst-nb=1.3.0=pyhe01879c_0
   - myst-parser=1.0.0=pyhd8ed1ab_0
   - nbclient=0.10.2=pyhd8ed1ab_0
   - nbconvert=7.16.6=hb482800_0
@@ -196,7 +196,6 @@ dependencies:
   - pickleshare=0.7.5=pyhd8ed1ab_1004
   - pillow=10.3.0=py311h82a398c_1
   - pip=25.1.1=pyh8b19718_0
-  - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_2
   - platformdirs=4.3.8=pyhe01879c_0
   - pluggy=1.6.0=pyhd8ed1ab_0
   - prometheus_client=0.22.1=pyhd8ed1ab_0
@@ -225,7 +224,7 @@ dependencies:
   - python-json-logger=2.0.7=pyhd8ed1ab_0
   - python-mumps=0.0.3=py311h4b558b0_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.11=7_cp311
+  - python_abi=3.11=8_cp311
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py311h2dc5d0c_2
   - pyzmq=27.0.0=py311h7deb3e3_0
@@ -235,13 +234,14 @@ dependencies:
   - requests=2.32.4=pyhd8ed1ab_0
   - rfc3339-validator=0.1.4=pyhd8ed1ab_1
   - rfc3986-validator=0.1.1=pyh9f0ad1d_0
+  - rfc3987-syntax=1.1.0=pyhe01879c_1
   - rpds-py=0.26.0=py311hdae7d1d_0
   - rtree=1.2.0=py311ha1603b9_1
   - scikit-learn=1.4.2=py311he08f58d_1
   - scipy=1.14.1=py311he9a78e4_2
   - send2trash=1.8.3=pyh0d859eb_1
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sniffio=1.3.1=pyhd8ed1ab_1
   - snowballstemmer=3.0.1=pyhd8ed1ab_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
@@ -309,8 +309,8 @@ dependencies:
   - zstd=1.5.7=hb8e6e7a_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.11-linux-64.conda.lock.yml b/environments/py-3.11-linux-64.conda.lock.yml
index eee8a30f..58b5880b 100644
--- a/environments/py-3.11-linux-64.conda.lock.yml
+++ b/environments/py-3.11-linux-64.conda.lock.yml
@@ -15,10 +15,10 @@ dependencies:
   - brotli-python=1.1.0=py311hfdbb021_3
   - bzip2=1.0.8=h4bc722e_7
   - c-ares=1.34.5=hb9d3cd8_0
-  - ca-certificates=2025.7.9=hbd8a1cb_0
+  - ca-certificates=2025.7.14=hbd8a1cb_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py311hf29c0ef_0
   - click=8.2.1=pyh707e725_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
@@ -31,13 +31,13 @@ dependencies:
   - discretize=0.11.3=py311h5b7b71f_0
   - distributed=2025.3.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py311h2dc5d0c_0
+  - fonttools=4.59.0=py311h3778330_0
   - freetype=2.13.3=ha770c72_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py311h5b7b71f_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py311h7f87ba5_100
-  - hdf5=1.14.6=nompi_h6e4c0c1_102
+  - hdf5=1.14.6=nompi_h6e4c0c1_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - hyperframe=6.1.0=pyhd8ed1ab_0
   - icu=75.1=he02047a_0
@@ -61,7 +61,7 @@ dependencies:
   - libdlf=0.3.0=pyhd8ed1ab_1
   - libedit=3.1.20250104=pl5321h7949ede_0
   - libev=4.33=hd590300_2
-  - libexpat=2.7.0=h5888daf_0
+  - libexpat=2.7.1=hecca717_0
   - libffi=3.4.6=h2dba641_1
   - libfreetype=2.13.3=ha770c72_1
   - libfreetype6=2.13.3=h48d6fc4_1
@@ -69,7 +69,7 @@ dependencies:
   - libgcc-ng=15.1.0=h69a702a_3
   - libgfortran=15.1.0=h69a702a_3
   - libgfortran5=15.1.0=hcea5267_3
-  - libhwloc=2.11.2=default_h0d58e46_1001
+  - libhwloc=2.11.2=default_h3d81e11_1002
   - libiconv=1.18=h4ce23a2_1
   - libjpeg-turbo=3.1.0=hb9d3cd8_0
   - liblapack=3.9.0=32_hc41d3b0_mkl
@@ -79,7 +79,7 @@ dependencies:
   - libpng=1.6.50=h943b412_0
   - libscotch=7.0.6=hea33c07_1
   - libspatialindex=2.0.0=he02047a_0
-  - libsqlite=3.50.2=hee844dc_2
+  - libsqlite=3.50.3=hee844dc_1
   - libssh2=1.11.1=hcf80075_0
   - libstdcxx=15.1.0=h8f9b012_3
   - libstdcxx-ng=15.1.0=h4852527_3
@@ -90,12 +90,12 @@ dependencies:
   - libxcrypt=4.4.36=hd590300_1
   - libxml2=2.13.8=h4bc477f_0
   - libzlib=1.3.1=hb9d3cd8_2
-  - llvm-openmp=20.1.7=h024ca30_0
+  - llvm-openmp=20.1.8=h4922eb0_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py311h2dc5d0c_1
   - matplotlib-base=3.8.4=py311ha4ca890_2
   - metis=5.1.0=hd0bcaf9_1007
-  - mkl=2024.2.2=ha957f24_16
+  - mkl=2024.2.2=ha770c72_16
   - msgpack-python=1.1.1=py311hd18a35c_0
   - mumps-include=5.7.3=h82cca05_10
   - mumps-seq=5.7.3=h06cbf8f_10
@@ -123,7 +123,7 @@ dependencies:
   - python-dateutil=2.9.0.post0=pyhe01879c_2
   - python-mumps=0.0.3=py311h4b558b0_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.11=7_cp311
+  - python_abi=3.11=8_cp311
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py311h2dc5d0c_2
   - readline=8.2=h8c095d6_2
@@ -131,7 +131,7 @@ dependencies:
   - scikit-learn=1.4.2=py311he08f58d_1
   - scipy=1.14.1=py311he9a78e4_2
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
   - tbb=2021.13.0=hceb3a55_1
   - tblib=3.1.0=pyhd8ed1ab_0
@@ -160,8 +160,8 @@ dependencies:
   - zstd=1.5.7=hb8e6e7a_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.11-win-64-dev.conda.lock.yml b/environments/py-3.11-win-64-dev.conda.lock.yml
index b521015f..aff40ed8 100644
--- a/environments/py-3.11-win-64-dev.conda.lock.yml
+++ b/environments/py-3.11-win-64-dev.conda.lock.yml
@@ -15,7 +15,7 @@ dependencies:
   - argon2-cffi-bindings=21.2.0=py311he736701_5
   - arrow=1.3.0=pyhd8ed1ab_1
   - asciitree=0.3.3=py_2
-  - astroid=3.3.10=py311h1ea47a8_0
+  - astroid=3.3.11=py311h1ea47a8_0
   - asttokens=3.0.0=pyhd8ed1ab_1
   - async-lru=2.0.5=pyh29332c3_0
   - attrs=25.3.0=pyh71513ae_0
@@ -28,24 +28,24 @@ dependencies:
   - brotli-bin=1.1.0=h2466b09_3
   - brotli-python=1.1.0=py311hda3d55a_3
   - bzip2=1.0.8=h2466b09_7
-  - ca-certificates=2025.7.9=h4c7d964_0
+  - ca-certificates=2025.7.14=h4c7d964_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py311he736701_0
   - charset-normalizer=3.4.2=pyhd8ed1ab_0
   - click=8.2.1=pyh7428d3b_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_1
-  - comm=0.2.2=pyhd8ed1ab_1
+  - comm=0.2.3=pyhe01879c_0
   - contourpy=1.3.2=py311h3257749_0
-  - coverage=7.9.2=py311h3f79411_0
+  - coverage=7.10.0=py311h3f79411_0
   - cpython=3.11.13=py311hd8ed1ab_0
   - cycler=0.12.1=pyhd8ed1ab_1
   - cytoolz=1.0.1=py311he736701_0
   - dask-core=2025.3.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
-  - debugpy=1.8.14=py311hda3d55a_0
+  - debugpy=1.8.15=py311h5dfdfe8_0
   - decorator=5.2.1=pyhd8ed1ab_0
   - defusedxml=0.7.1=pyhd8ed1ab_0
   - deprecated=1.2.18=pyhd8ed1ab_0
@@ -56,16 +56,16 @@ dependencies:
   - exceptiongroup=1.3.0=pyhd8ed1ab_0
   - executing=2.2.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py311h3f79411_0
+  - fonttools=4.59.0=py311h3f79411_0
   - fqdn=1.5.1=pyhd8ed1ab_1
   - freetype=2.13.3=h57928b3_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py311h9b10771_0
   - greenlet=3.2.3=py311hda3d55a_0
   - h11=0.16.0=pyhd8ed1ab_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py311h97e6cc2_100
-  - hdf5=1.14.6=nompi_he30205f_102
+  - hdf5=1.14.6=nompi_he30205f_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - httpcore=1.0.9=pyh29332c3_0
   - httpx=0.28.1=pyhd8ed1ab_0
@@ -74,7 +74,6 @@ dependencies:
   - imagesize=1.4.1=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
   - importlib_metadata=8.7.0=h40b2b14_1
-  - importlib_resources=6.5.2=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_1
   - intel-openmp=2024.2.1=h57928b3_1083
   - ipykernel=6.29.5=pyh4bbf305_0
@@ -89,24 +88,25 @@ dependencies:
   - joblib=1.5.1=pyhd8ed1ab_0
   - json5=0.12.0=pyhd8ed1ab_0
   - jsonpointer=3.0.0=py311h1ea47a8_1
-  - jsonschema=4.24.0=pyhd8ed1ab_0
+  - jsonschema=4.25.0=pyhe01879c_0
   - jsonschema-specifications=2025.4.1=pyh29332c3_0
-  - jsonschema-with-format-nongpl=4.24.0=hd8ed1ab_0
+  - jsonschema-with-format-nongpl=4.25.0=he01879c_0
   - jupyter-book=1.0.3=pyhd8ed1ab_1
   - jupyter-cache=1.0.1=pyhff2d567_0
-  - jupyter-lsp=2.2.5=pyhe01879c_2
+  - jupyter-lsp=2.2.6=pyhe01879c_0
   - jupyter_client=8.6.3=pyhd8ed1ab_1
   - jupyter_core=5.8.1=pyh5737063_0
   - jupyter_events=0.12.0=pyh29332c3_0
   - jupyter_server=2.16.0=pyhe01879c_0
   - jupyter_server_terminals=0.5.3=pyhd8ed1ab_1
-  - jupyterlab=4.4.4=pyhd8ed1ab_0
+  - jupyterlab=4.4.5=pyhd8ed1ab_0
   - jupyterlab_pygments=0.3.0=pyhd8ed1ab_2
   - jupyterlab_server=2.27.3=pyhd8ed1ab_1
   - jupyterlab_widgets=1.1.11=pyhd8ed1ab_0
   - jupytext=1.17.2=pyh80e38bb_0
   - kiwisolver=1.4.8=py311h3fd045d_1
   - krb5=1.21.3=hdf4eb48_0
+  - lark=1.2.2=pyhd8ed1ab_1
   - latexcodec=2.0.1=pyh9f0ad1d_0
   - lcms2=2.17=hbcf6048_0
   - lerc=4.0.0=h6470a55_1
@@ -119,13 +119,13 @@ dependencies:
   - libcurl=8.14.1=h88aaa65_0
   - libdeflate=1.24=h76ddb4d_0
   - libdlf=0.3.0=pyhd8ed1ab_1
-  - libexpat=2.7.0=he0c23c2_0
+  - libexpat=2.7.1=hac47afa_0
   - libffi=3.4.6=h537db12_1
   - libfreetype=2.13.3=h57928b3_1
   - libfreetype6=2.13.3=h0b5ce68_1
   - libgcc=15.1.0=h1383e82_3
   - libgomp=15.1.0=h1383e82_3
-  - libhwloc=2.11.2=default_ha69328c_1001
+  - libhwloc=2.11.2=default_h88281d1_1002
   - libiconv=1.18=h135ad9c_1
   - libjpeg-turbo=3.1.0=h2466b09_0
   - liblapack=3.9.0=32_h1aa476e_mkl
@@ -133,7 +133,7 @@ dependencies:
   - libpng=1.6.50=h95bef1e_0
   - libsodium=1.0.20=hc70643c_0
   - libspatialindex=2.0.0=h5a68840_0
-  - libsqlite=3.50.2=hf5d6505_2
+  - libsqlite=3.50.3=hf5d6505_1
   - libssh2=1.11.1=h9aa295b_0
   - libtiff=4.7.0=h05922d8_5
   - libwebp-base=1.6.0=h4d5522a_0
@@ -142,7 +142,7 @@ dependencies:
   - libxml2=2.13.8=h442d1da_0
   - libzlib=1.3.1=h2466b09_2
   - linkify-it-py=2.0.3=pyhd8ed1ab_1
-  - llvm-openmp=20.1.7=h30eaf37_0
+  - llvm-openmp=20.1.8=hfa2b4ca_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markdown-it-py=2.2.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py311h5082efb_1
@@ -156,7 +156,7 @@ dependencies:
   - msgpack-python=1.1.1=py311h3257749_0
   - mumps-seq=5.7.3=hbaa6519_10
   - munkres=1.1.4=pyhd8ed1ab_1
-  - myst-nb=1.2.0=pyh29332c3_0
+  - myst-nb=1.3.0=pyhe01879c_0
   - myst-parser=1.0.0=pyhd8ed1ab_0
   - nbclient=0.10.2=pyhd8ed1ab_0
   - nbconvert=7.16.6=hb482800_0
@@ -180,7 +180,6 @@ dependencies:
   - pickleshare=0.7.5=pyhd8ed1ab_1004
   - pillow=10.3.0=py311h5592be9_1
   - pip=25.1.1=pyh8b19718_0
-  - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_2
   - platformdirs=4.3.8=pyhe01879c_0
   - pluggy=1.6.0=pyhd8ed1ab_0
   - prometheus_client=0.22.1=pyhd8ed1ab_0
@@ -208,9 +207,9 @@ dependencies:
   - python-json-logger=2.0.7=pyhd8ed1ab_0
   - python-mumps=0.0.3=py311h5bfbc98_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.11=7_cp311
+  - python_abi=3.11=8_cp311
   - pytz=2025.2=pyhd8ed1ab_0
-  - pywin32=307=py311hda3d55a_3
+  - pywin32=311=py311hefeebc8_0
   - pywinpty=2.0.15=py311hda3d55a_0
   - pyyaml=6.0.2=py311h5082efb_2
   - pyzmq=27.0.0=py311h484c95c_0
@@ -219,13 +218,14 @@ dependencies:
   - requests=2.32.4=pyhd8ed1ab_0
   - rfc3339-validator=0.1.4=pyhd8ed1ab_1
   - rfc3986-validator=0.1.1=pyh9f0ad1d_0
+  - rfc3987-syntax=1.1.0=pyhe01879c_1
   - rpds-py=0.26.0=py311hf51aa87_0
   - rtree=1.2.0=py311h44d53c4_1
   - scikit-learn=1.4.2=py311hdcb8d17_1
   - scipy=1.14.1=py311hf16d85f_2
   - send2trash=1.8.3=pyh5737063_1
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sniffio=1.3.1=pyhd8ed1ab_1
   - snowballstemmer=3.0.1=pyhd8ed1ab_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
@@ -275,9 +275,9 @@ dependencies:
   - unicodedata2=16.0.0=py311he736701_0
   - uri-template=1.3.0=pyhd8ed1ab_1
   - urllib3=2.5.0=pyhd8ed1ab_0
-  - vc=14.3=h41ae7f8_26
-  - vc14_runtime=14.44.35208=h818238b_26
-  - vs2015_runtime=14.44.35208=h38c0c73_26
+  - vc=14.3=h2b53caa_30
+  - vc14_runtime=14.44.35208=h818238b_30
+  - vs2015_runtime=14.44.35208=h38c0c73_30
   - wcwidth=0.2.13=pyhd8ed1ab_1
   - webcolors=24.11.1=pyhd8ed1ab_0
   - webencodings=0.5.1=pyhd8ed1ab_3
@@ -299,8 +299,8 @@ dependencies:
   - zstd=1.5.7=hbeecb71_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.11-win-64.conda.lock.yml b/environments/py-3.11-win-64.conda.lock.yml
index 06f61854..964a45b6 100644
--- a/environments/py-3.11-win-64.conda.lock.yml
+++ b/environments/py-3.11-win-64.conda.lock.yml
@@ -14,10 +14,10 @@ dependencies:
   - brotli-bin=1.1.0=h2466b09_3
   - brotli-python=1.1.0=py311hda3d55a_3
   - bzip2=1.0.8=h2466b09_7
-  - ca-certificates=2025.7.9=h4c7d964_0
+  - ca-certificates=2025.7.14=h4c7d964_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py311he736701_0
   - click=8.2.1=pyh7428d3b_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
@@ -30,13 +30,13 @@ dependencies:
   - discretize=0.11.3=py311h9b10771_0
   - distributed=2025.3.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py311h3f79411_0
+  - fonttools=4.59.0=py311h3f79411_0
   - freetype=2.13.3=h57928b3_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py311h9b10771_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py311h97e6cc2_100
-  - hdf5=1.14.6=nompi_he30205f_102
+  - hdf5=1.14.6=nompi_he30205f_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - hyperframe=6.1.0=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
@@ -56,20 +56,20 @@ dependencies:
   - libcurl=8.14.1=h88aaa65_0
   - libdeflate=1.24=h76ddb4d_0
   - libdlf=0.3.0=pyhd8ed1ab_1
-  - libexpat=2.7.0=he0c23c2_0
+  - libexpat=2.7.1=hac47afa_0
   - libffi=3.4.6=h537db12_1
   - libfreetype=2.13.3=h57928b3_1
   - libfreetype6=2.13.3=h0b5ce68_1
   - libgcc=15.1.0=h1383e82_3
   - libgomp=15.1.0=h1383e82_3
-  - libhwloc=2.11.2=default_ha69328c_1001
+  - libhwloc=2.11.2=default_h88281d1_1002
   - libiconv=1.18=h135ad9c_1
   - libjpeg-turbo=3.1.0=h2466b09_0
   - liblapack=3.9.0=32_h1aa476e_mkl
   - liblzma=5.8.1=h2466b09_2
   - libpng=1.6.50=h95bef1e_0
   - libspatialindex=2.0.0=h5a68840_0
-  - libsqlite=3.50.2=hf5d6505_2
+  - libsqlite=3.50.3=hf5d6505_1
   - libssh2=1.11.1=h9aa295b_0
   - libtiff=4.7.0=h05922d8_5
   - libwebp-base=1.6.0=h4d5522a_0
@@ -77,7 +77,7 @@ dependencies:
   - libxcb=1.17.0=h0e4246c_0
   - libxml2=2.13.8=h442d1da_0
   - libzlib=1.3.1=h2466b09_2
-  - llvm-openmp=20.1.7=h30eaf37_0
+  - llvm-openmp=20.1.8=hfa2b4ca_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py311h5082efb_1
   - matplotlib-base=3.8.4=py311h9b31f6e_2
@@ -107,14 +107,14 @@ dependencies:
   - python-dateutil=2.9.0.post0=pyhe01879c_2
   - python-mumps=0.0.3=py311h5bfbc98_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.11=7_cp311
+  - python_abi=3.11=8_cp311
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py311h5082efb_2
   - rtree=1.2.0=py311h44d53c4_1
   - scikit-learn=1.4.2=py311hdcb8d17_1
   - scipy=1.14.1=py311hf16d85f_2
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
   - tbb=2021.13.0=h62715c5_1
   - tblib=3.1.0=pyhd8ed1ab_0
@@ -131,9 +131,9 @@ dependencies:
   - ucrt=10.0.22621.0=h57928b3_1
   - unicodedata2=16.0.0=py311he736701_0
   - urllib3=2.5.0=pyhd8ed1ab_0
-  - vc=14.3=h41ae7f8_26
-  - vc14_runtime=14.44.35208=h818238b_26
-  - vs2015_runtime=14.44.35208=h38c0c73_26
+  - vc=14.3=h2b53caa_30
+  - vc14_runtime=14.44.35208=h818238b_30
+  - vs2015_runtime=14.44.35208=h38c0c73_30
   - wheel=0.45.1=pyhd8ed1ab_1
   - win_inet_pton=1.1.0=pyh7428d3b_8
   - wrapt=1.17.2=py311he736701_0
@@ -148,8 +148,8 @@ dependencies:
   - zstd=1.5.7=hbeecb71_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.12-linux-64-dev.conda.lock.yml b/environments/py-3.12-linux-64-dev.conda.lock.yml
index ca670d22..dae41821 100644
--- a/environments/py-3.12-linux-64-dev.conda.lock.yml
+++ b/environments/py-3.12-linux-64-dev.conda.lock.yml
@@ -15,7 +15,7 @@ dependencies:
   - argon2-cffi-bindings=21.2.0=py312h66e93f0_5
   - arrow=1.3.0=pyhd8ed1ab_1
   - asciitree=0.3.3=py_2
-  - astroid=3.3.10=py312h7900ff3_0
+  - astroid=3.3.11=py312h7900ff3_0
   - asttokens=3.0.0=pyhd8ed1ab_1
   - async-lru=2.0.5=pyh29332c3_0
   - attrs=25.3.0=pyh71513ae_0
@@ -29,23 +29,23 @@ dependencies:
   - brotli-python=1.1.0=py312h2ec8cdc_3
   - bzip2=1.0.8=h4bc722e_7
   - c-ares=1.34.5=hb9d3cd8_0
-  - ca-certificates=2025.7.9=hbd8a1cb_0
+  - ca-certificates=2025.7.14=hbd8a1cb_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py312h06ac9bb_0
   - charset-normalizer=3.4.2=pyhd8ed1ab_0
   - click=8.2.1=pyh707e725_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_1
-  - comm=0.2.2=pyhd8ed1ab_1
+  - comm=0.2.3=pyhe01879c_0
   - contourpy=1.3.2=py312h68727a3_0
-  - coverage=7.9.2=py312h178313f_0
+  - coverage=7.10.0=py312h8a5da7c_0
   - cycler=0.12.1=pyhd8ed1ab_1
   - cytoolz=1.0.1=py312h66e93f0_0
   - dask-core=2025.3.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
-  - debugpy=1.8.14=py312h2ec8cdc_0
+  - debugpy=1.8.15=py312h8285ef7_0
   - decorator=5.2.1=pyhd8ed1ab_0
   - defusedxml=0.7.1=pyhd8ed1ab_0
   - deprecated=1.2.18=pyhd8ed1ab_0
@@ -56,16 +56,16 @@ dependencies:
   - exceptiongroup=1.3.0=pyhd8ed1ab_0
   - executing=2.2.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py312h178313f_0
+  - fonttools=4.59.0=py312h8a5da7c_0
   - fqdn=1.5.1=pyhd8ed1ab_1
   - freetype=2.13.3=ha770c72_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py312hc39e661_0
   - greenlet=3.2.3=py312h2ec8cdc_0
   - h11=0.16.0=pyhd8ed1ab_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py312h3faca00_100
-  - hdf5=1.14.6=nompi_h6e4c0c1_102
+  - hdf5=1.14.6=nompi_h6e4c0c1_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - httpcore=1.0.9=pyh29332c3_0
   - httpx=0.28.1=pyhd8ed1ab_0
@@ -75,7 +75,6 @@ dependencies:
   - imagesize=1.4.1=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
   - importlib_metadata=8.7.0=h40b2b14_1
-  - importlib_resources=6.5.2=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_1
   - ipykernel=6.29.5=pyh3099207_0
   - ipython=9.4.0=pyhfa0c392_0
@@ -89,18 +88,18 @@ dependencies:
   - joblib=1.5.1=pyhd8ed1ab_0
   - json5=0.12.0=pyhd8ed1ab_0
   - jsonpointer=3.0.0=py312h7900ff3_1
-  - jsonschema=4.24.0=pyhd8ed1ab_0
+  - jsonschema=4.25.0=pyhe01879c_0
   - jsonschema-specifications=2025.4.1=pyh29332c3_0
-  - jsonschema-with-format-nongpl=4.24.0=hd8ed1ab_0
+  - jsonschema-with-format-nongpl=4.25.0=he01879c_0
   - jupyter-book=1.0.3=pyhd8ed1ab_1
   - jupyter-cache=1.0.1=pyhff2d567_0
-  - jupyter-lsp=2.2.5=pyhe01879c_2
+  - jupyter-lsp=2.2.6=pyhe01879c_0
   - jupyter_client=8.6.3=pyhd8ed1ab_1
   - jupyter_core=5.8.1=pyh31011fe_0
   - jupyter_events=0.12.0=pyh29332c3_0
   - jupyter_server=2.16.0=pyhe01879c_0
   - jupyter_server_terminals=0.5.3=pyhd8ed1ab_1
-  - jupyterlab=4.4.4=pyhd8ed1ab_0
+  - jupyterlab=4.4.5=pyhd8ed1ab_0
   - jupyterlab_pygments=0.3.0=pyhd8ed1ab_2
   - jupyterlab_server=2.27.3=pyhd8ed1ab_1
   - jupyterlab_widgets=1.1.11=pyhd8ed1ab_0
@@ -108,6 +107,7 @@ dependencies:
   - keyutils=1.6.1=h166bdaf_0
   - kiwisolver=1.4.8=py312h68727a3_1
   - krb5=1.21.3=h659f571_0
+  - lark=1.2.2=pyhd8ed1ab_1
   - latexcodec=2.0.1=pyh9f0ad1d_0
   - lcms2=2.17=h717163a_0
   - ld_impl_linux-64=2.44=h1423503_1
@@ -123,7 +123,7 @@ dependencies:
   - libdlf=0.3.0=pyhd8ed1ab_1
   - libedit=3.1.20250104=pl5321h7949ede_0
   - libev=4.33=hd590300_2
-  - libexpat=2.7.0=h5888daf_0
+  - libexpat=2.7.1=hecca717_0
   - libffi=3.4.6=h2dba641_1
   - libfreetype=2.13.3=ha770c72_1
   - libfreetype6=2.13.3=h48d6fc4_1
@@ -131,7 +131,7 @@ dependencies:
   - libgcc-ng=15.1.0=h69a702a_3
   - libgfortran=15.1.0=h69a702a_3
   - libgfortran5=15.1.0=hcea5267_3
-  - libhwloc=2.11.2=default_h0d58e46_1001
+  - libhwloc=2.11.2=default_h3d81e11_1002
   - libiconv=1.18=h4ce23a2_1
   - libjpeg-turbo=3.1.0=hb9d3cd8_0
   - liblapack=3.9.0=32_hc41d3b0_mkl
@@ -142,7 +142,7 @@ dependencies:
   - libscotch=7.0.6=hea33c07_1
   - libsodium=1.0.20=h4ab18f5_0
   - libspatialindex=2.0.0=he02047a_0
-  - libsqlite=3.50.2=hee844dc_2
+  - libsqlite=3.50.3=hee844dc_1
   - libssh2=1.11.1=hcf80075_0
   - libstdcxx=15.1.0=h8f9b012_3
   - libstdcxx-ng=15.1.0=h4852527_3
@@ -154,7 +154,7 @@ dependencies:
   - libxml2=2.13.8=h4bc477f_0
   - libzlib=1.3.1=hb9d3cd8_2
   - linkify-it-py=2.0.3=pyhd8ed1ab_1
-  - llvm-openmp=20.1.7=h024ca30_0
+  - llvm-openmp=20.1.8=h4922eb0_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markdown-it-py=2.2.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py312h178313f_1
@@ -165,12 +165,12 @@ dependencies:
   - mdurl=0.1.2=pyhd8ed1ab_1
   - metis=5.1.0=hd0bcaf9_1007
   - mistune=3.1.3=pyh29332c3_0
-  - mkl=2024.2.2=ha957f24_16
+  - mkl=2024.2.2=ha770c72_16
   - msgpack-python=1.1.1=py312h68727a3_0
   - mumps-include=5.7.3=h82cca05_10
   - mumps-seq=5.7.3=h06cbf8f_10
   - munkres=1.1.4=pyhd8ed1ab_1
-  - myst-nb=1.2.0=pyh29332c3_0
+  - myst-nb=1.3.0=pyhe01879c_0
   - myst-parser=1.0.0=pyhd8ed1ab_0
   - nbclient=0.10.2=pyhd8ed1ab_0
   - nbconvert=7.16.6=hb482800_0
@@ -196,7 +196,6 @@ dependencies:
   - pickleshare=0.7.5=pyhd8ed1ab_1004
   - pillow=10.3.0=py312h287a98d_1
   - pip=25.1.1=pyh8b19718_0
-  - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_2
   - platformdirs=4.3.8=pyhe01879c_0
   - pluggy=1.6.0=pyhd8ed1ab_0
   - prometheus_client=0.22.1=pyhd8ed1ab_0
@@ -225,7 +224,7 @@ dependencies:
   - python-json-logger=2.0.7=pyhd8ed1ab_0
   - python-mumps=0.0.3=py312h6ad3ee3_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.12=7_cp312
+  - python_abi=3.12=8_cp312
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py312h178313f_2
   - pyzmq=27.0.0=py312hbf22597_0
@@ -235,13 +234,14 @@ dependencies:
   - requests=2.32.4=pyhd8ed1ab_0
   - rfc3339-validator=0.1.4=pyhd8ed1ab_1
   - rfc3986-validator=0.1.1=pyh9f0ad1d_0
+  - rfc3987-syntax=1.1.0=pyhe01879c_1
   - rpds-py=0.26.0=py312h680f630_0
   - rtree=1.2.0=py312h3ed4c40_1
   - scikit-learn=1.4.2=py312h1fcc3ea_1
   - scipy=1.14.1=py312h62794b6_2
   - send2trash=1.8.3=pyh0d859eb_1
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sniffio=1.3.1=pyhd8ed1ab_1
   - snowballstemmer=3.0.1=pyhd8ed1ab_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
@@ -309,8 +309,8 @@ dependencies:
   - zstd=1.5.7=hb8e6e7a_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.12-linux-64.conda.lock.yml b/environments/py-3.12-linux-64.conda.lock.yml
index 44f2df88..cc473fcb 100644
--- a/environments/py-3.12-linux-64.conda.lock.yml
+++ b/environments/py-3.12-linux-64.conda.lock.yml
@@ -15,10 +15,10 @@ dependencies:
   - brotli-python=1.1.0=py312h2ec8cdc_3
   - bzip2=1.0.8=h4bc722e_7
   - c-ares=1.34.5=hb9d3cd8_0
-  - ca-certificates=2025.7.9=hbd8a1cb_0
+  - ca-certificates=2025.7.14=hbd8a1cb_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py312h06ac9bb_0
   - click=8.2.1=pyh707e725_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
@@ -31,13 +31,13 @@ dependencies:
   - discretize=0.11.3=py312hc39e661_0
   - distributed=2025.3.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py312h178313f_0
+  - fonttools=4.59.0=py312h8a5da7c_0
   - freetype=2.13.3=ha770c72_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py312hc39e661_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py312h3faca00_100
-  - hdf5=1.14.6=nompi_h6e4c0c1_102
+  - hdf5=1.14.6=nompi_h6e4c0c1_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - hyperframe=6.1.0=pyhd8ed1ab_0
   - icu=75.1=he02047a_0
@@ -61,7 +61,7 @@ dependencies:
   - libdlf=0.3.0=pyhd8ed1ab_1
   - libedit=3.1.20250104=pl5321h7949ede_0
   - libev=4.33=hd590300_2
-  - libexpat=2.7.0=h5888daf_0
+  - libexpat=2.7.1=hecca717_0
   - libffi=3.4.6=h2dba641_1
   - libfreetype=2.13.3=ha770c72_1
   - libfreetype6=2.13.3=h48d6fc4_1
@@ -69,7 +69,7 @@ dependencies:
   - libgcc-ng=15.1.0=h69a702a_3
   - libgfortran=15.1.0=h69a702a_3
   - libgfortran5=15.1.0=hcea5267_3
-  - libhwloc=2.11.2=default_h0d58e46_1001
+  - libhwloc=2.11.2=default_h3d81e11_1002
   - libiconv=1.18=h4ce23a2_1
   - libjpeg-turbo=3.1.0=hb9d3cd8_0
   - liblapack=3.9.0=32_hc41d3b0_mkl
@@ -79,7 +79,7 @@ dependencies:
   - libpng=1.6.50=h943b412_0
   - libscotch=7.0.6=hea33c07_1
   - libspatialindex=2.0.0=he02047a_0
-  - libsqlite=3.50.2=hee844dc_2
+  - libsqlite=3.50.3=hee844dc_1
   - libssh2=1.11.1=hcf80075_0
   - libstdcxx=15.1.0=h8f9b012_3
   - libstdcxx-ng=15.1.0=h4852527_3
@@ -90,12 +90,12 @@ dependencies:
   - libxcrypt=4.4.36=hd590300_1
   - libxml2=2.13.8=h4bc477f_0
   - libzlib=1.3.1=hb9d3cd8_2
-  - llvm-openmp=20.1.7=h024ca30_0
+  - llvm-openmp=20.1.8=h4922eb0_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py312h178313f_1
   - matplotlib-base=3.8.4=py312h20ab3a6_2
   - metis=5.1.0=hd0bcaf9_1007
-  - mkl=2024.2.2=ha957f24_16
+  - mkl=2024.2.2=ha770c72_16
   - msgpack-python=1.1.1=py312h68727a3_0
   - mumps-include=5.7.3=h82cca05_10
   - mumps-seq=5.7.3=h06cbf8f_10
@@ -123,7 +123,7 @@ dependencies:
   - python-dateutil=2.9.0.post0=pyhe01879c_2
   - python-mumps=0.0.3=py312h6ad3ee3_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.12=7_cp312
+  - python_abi=3.12=8_cp312
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py312h178313f_2
   - readline=8.2=h8c095d6_2
@@ -131,7 +131,7 @@ dependencies:
   - scikit-learn=1.4.2=py312h1fcc3ea_1
   - scipy=1.14.1=py312h62794b6_2
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
   - tbb=2021.13.0=hceb3a55_1
   - tblib=3.1.0=pyhd8ed1ab_0
@@ -160,8 +160,8 @@ dependencies:
   - zstd=1.5.7=hb8e6e7a_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.12-win-64-dev.conda.lock.yml b/environments/py-3.12-win-64-dev.conda.lock.yml
index 62896ee2..c5808e33 100644
--- a/environments/py-3.12-win-64-dev.conda.lock.yml
+++ b/environments/py-3.12-win-64-dev.conda.lock.yml
@@ -15,7 +15,7 @@ dependencies:
   - argon2-cffi-bindings=21.2.0=py312h4389bb4_5
   - arrow=1.3.0=pyhd8ed1ab_1
   - asciitree=0.3.3=py_2
-  - astroid=3.3.10=py312h2e8e312_0
+  - astroid=3.3.11=py312h2e8e312_0
   - asttokens=3.0.0=pyhd8ed1ab_1
   - async-lru=2.0.5=pyh29332c3_0
   - attrs=25.3.0=pyh71513ae_0
@@ -28,24 +28,24 @@ dependencies:
   - brotli-bin=1.1.0=h2466b09_3
   - brotli-python=1.1.0=py312h275cf98_3
   - bzip2=1.0.8=h2466b09_7
-  - ca-certificates=2025.7.9=h4c7d964_0
+  - ca-certificates=2025.7.14=h4c7d964_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py312h4389bb4_0
   - charset-normalizer=3.4.2=pyhd8ed1ab_0
   - click=8.2.1=pyh7428d3b_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
   - colorama=0.4.6=pyhd8ed1ab_1
-  - comm=0.2.2=pyhd8ed1ab_1
+  - comm=0.2.3=pyhe01879c_0
   - contourpy=1.3.2=py312hd5eb7cc_0
-  - coverage=7.9.2=py312h05f76fc_0
+  - coverage=7.10.0=py312h05f76fc_0
   - cpython=3.12.11=py312hd8ed1ab_0
   - cycler=0.12.1=pyhd8ed1ab_1
   - cytoolz=1.0.1=py312h4389bb4_0
   - dask-core=2025.3.0=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
-  - debugpy=1.8.14=py312h275cf98_0
+  - debugpy=1.8.15=py312ha1a9051_0
   - decorator=5.2.1=pyhd8ed1ab_0
   - defusedxml=0.7.1=pyhd8ed1ab_0
   - deprecated=1.2.18=pyhd8ed1ab_0
@@ -56,16 +56,16 @@ dependencies:
   - exceptiongroup=1.3.0=pyhd8ed1ab_0
   - executing=2.2.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py312h05f76fc_0
+  - fonttools=4.59.0=py312h05f76fc_0
   - fqdn=1.5.1=pyhd8ed1ab_1
   - freetype=2.13.3=h57928b3_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py312hbaa7e33_0
   - greenlet=3.2.3=py312h275cf98_0
   - h11=0.16.0=pyhd8ed1ab_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py312h6cc2a29_100
-  - hdf5=1.14.6=nompi_he30205f_102
+  - hdf5=1.14.6=nompi_he30205f_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - httpcore=1.0.9=pyh29332c3_0
   - httpx=0.28.1=pyhd8ed1ab_0
@@ -74,7 +74,6 @@ dependencies:
   - imagesize=1.4.1=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
   - importlib_metadata=8.7.0=h40b2b14_1
-  - importlib_resources=6.5.2=pyhd8ed1ab_0
   - iniconfig=2.0.0=pyhd8ed1ab_1
   - intel-openmp=2024.2.1=h57928b3_1083
   - ipykernel=6.29.5=pyh4bbf305_0
@@ -89,24 +88,25 @@ dependencies:
   - joblib=1.5.1=pyhd8ed1ab_0
   - json5=0.12.0=pyhd8ed1ab_0
   - jsonpointer=3.0.0=py312h2e8e312_1
-  - jsonschema=4.24.0=pyhd8ed1ab_0
+  - jsonschema=4.25.0=pyhe01879c_0
   - jsonschema-specifications=2025.4.1=pyh29332c3_0
-  - jsonschema-with-format-nongpl=4.24.0=hd8ed1ab_0
+  - jsonschema-with-format-nongpl=4.25.0=he01879c_0
   - jupyter-book=1.0.3=pyhd8ed1ab_1
   - jupyter-cache=1.0.1=pyhff2d567_0
-  - jupyter-lsp=2.2.5=pyhe01879c_2
+  - jupyter-lsp=2.2.6=pyhe01879c_0
   - jupyter_client=8.6.3=pyhd8ed1ab_1
   - jupyter_core=5.8.1=pyh5737063_0
   - jupyter_events=0.12.0=pyh29332c3_0
   - jupyter_server=2.16.0=pyhe01879c_0
   - jupyter_server_terminals=0.5.3=pyhd8ed1ab_1
-  - jupyterlab=4.4.4=pyhd8ed1ab_0
+  - jupyterlab=4.4.5=pyhd8ed1ab_0
   - jupyterlab_pygments=0.3.0=pyhd8ed1ab_2
   - jupyterlab_server=2.27.3=pyhd8ed1ab_1
   - jupyterlab_widgets=1.1.11=pyhd8ed1ab_0
   - jupytext=1.17.2=pyh80e38bb_0
   - kiwisolver=1.4.8=py312hf90b1b7_1
   - krb5=1.21.3=hdf4eb48_0
+  - lark=1.2.2=pyhd8ed1ab_1
   - latexcodec=2.0.1=pyh9f0ad1d_0
   - lcms2=2.17=hbcf6048_0
   - lerc=4.0.0=h6470a55_1
@@ -119,13 +119,13 @@ dependencies:
   - libcurl=8.14.1=h88aaa65_0
   - libdeflate=1.24=h76ddb4d_0
   - libdlf=0.3.0=pyhd8ed1ab_1
-  - libexpat=2.7.0=he0c23c2_0
+  - libexpat=2.7.1=hac47afa_0
   - libffi=3.4.6=h537db12_1
   - libfreetype=2.13.3=h57928b3_1
   - libfreetype6=2.13.3=h0b5ce68_1
   - libgcc=15.1.0=h1383e82_3
   - libgomp=15.1.0=h1383e82_3
-  - libhwloc=2.11.2=default_ha69328c_1001
+  - libhwloc=2.11.2=default_h88281d1_1002
   - libiconv=1.18=h135ad9c_1
   - libjpeg-turbo=3.1.0=h2466b09_0
   - liblapack=3.9.0=32_h1aa476e_mkl
@@ -133,7 +133,7 @@ dependencies:
   - libpng=1.6.50=h95bef1e_0
   - libsodium=1.0.20=hc70643c_0
   - libspatialindex=2.0.0=h5a68840_0
-  - libsqlite=3.50.2=hf5d6505_2
+  - libsqlite=3.50.3=hf5d6505_1
   - libssh2=1.11.1=h9aa295b_0
   - libtiff=4.7.0=h05922d8_5
   - libwebp-base=1.6.0=h4d5522a_0
@@ -142,7 +142,7 @@ dependencies:
   - libxml2=2.13.8=h442d1da_0
   - libzlib=1.3.1=h2466b09_2
   - linkify-it-py=2.0.3=pyhd8ed1ab_1
-  - llvm-openmp=20.1.7=h30eaf37_0
+  - llvm-openmp=20.1.8=hfa2b4ca_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markdown-it-py=2.2.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py312h31fea79_1
@@ -156,7 +156,7 @@ dependencies:
   - msgpack-python=1.1.1=py312hd5eb7cc_0
   - mumps-seq=5.7.3=hbaa6519_10
   - munkres=1.1.4=pyhd8ed1ab_1
-  - myst-nb=1.2.0=pyh29332c3_0
+  - myst-nb=1.3.0=pyhe01879c_0
   - myst-parser=1.0.0=pyhd8ed1ab_0
   - nbclient=0.10.2=pyhd8ed1ab_0
   - nbconvert=7.16.6=hb482800_0
@@ -180,7 +180,6 @@ dependencies:
   - pickleshare=0.7.5=pyhd8ed1ab_1004
   - pillow=10.3.0=py312h381445a_1
   - pip=25.1.1=pyh8b19718_0
-  - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_2
   - platformdirs=4.3.8=pyhe01879c_0
   - pluggy=1.6.0=pyhd8ed1ab_0
   - prometheus_client=0.22.1=pyhd8ed1ab_0
@@ -208,9 +207,9 @@ dependencies:
   - python-json-logger=2.0.7=pyhd8ed1ab_0
   - python-mumps=0.0.3=py312h8095395_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.12=7_cp312
+  - python_abi=3.12=8_cp312
   - pytz=2025.2=pyhd8ed1ab_0
-  - pywin32=307=py312h275cf98_3
+  - pywin32=311=py312h829343e_0
   - pywinpty=2.0.15=py312h275cf98_0
   - pyyaml=6.0.2=py312h31fea79_2
   - pyzmq=27.0.0=py312hd7027bb_0
@@ -219,13 +218,14 @@ dependencies:
   - requests=2.32.4=pyhd8ed1ab_0
   - rfc3339-validator=0.1.4=pyhd8ed1ab_1
   - rfc3986-validator=0.1.1=pyh9f0ad1d_0
+  - rfc3987-syntax=1.1.0=pyhe01879c_1
   - rpds-py=0.26.0=py312hdabe01f_0
   - rtree=1.2.0=py312h50e5f8f_1
   - scikit-learn=1.4.2=py312h816cc57_1
   - scipy=1.14.1=py312h337df96_2
   - send2trash=1.8.3=pyh5737063_1
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sniffio=1.3.1=pyhd8ed1ab_1
   - snowballstemmer=3.0.1=pyhd8ed1ab_0
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
@@ -275,9 +275,9 @@ dependencies:
   - unicodedata2=16.0.0=py312h4389bb4_0
   - uri-template=1.3.0=pyhd8ed1ab_1
   - urllib3=2.5.0=pyhd8ed1ab_0
-  - vc=14.3=h41ae7f8_26
-  - vc14_runtime=14.44.35208=h818238b_26
-  - vs2015_runtime=14.44.35208=h38c0c73_26
+  - vc=14.3=h2b53caa_30
+  - vc14_runtime=14.44.35208=h818238b_30
+  - vs2015_runtime=14.44.35208=h38c0c73_30
   - wcwidth=0.2.13=pyhd8ed1ab_1
   - webcolors=24.11.1=pyhd8ed1ab_0
   - webencodings=0.5.1=pyhd8ed1ab_3
@@ -299,8 +299,8 @@ dependencies:
   - zstd=1.5.7=hbeecb71_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/environments/py-3.12-win-64.conda.lock.yml b/environments/py-3.12-win-64.conda.lock.yml
index 2338079a..82a2e6e5 100644
--- a/environments/py-3.12-win-64.conda.lock.yml
+++ b/environments/py-3.12-win-64.conda.lock.yml
@@ -14,10 +14,10 @@ dependencies:
   - brotli-bin=1.1.0=h2466b09_3
   - brotli-python=1.1.0=py312h275cf98_3
   - bzip2=1.0.8=h2466b09_7
-  - ca-certificates=2025.7.9=h4c7d964_0
+  - ca-certificates=2025.7.14=h4c7d964_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cached_property=1.5.2=pyha770c72_1
-  - certifi=2025.7.9=pyhd8ed1ab_0
+  - certifi=2025.7.14=pyhd8ed1ab_0
   - cffi=1.17.1=py312h4389bb4_0
   - click=8.2.1=pyh7428d3b_0
   - cloudpickle=3.1.1=pyhd8ed1ab_0
@@ -30,13 +30,13 @@ dependencies:
   - discretize=0.11.3=py312hbaa7e33_0
   - distributed=2025.3.0=pyhd8ed1ab_0
   - fasteners=0.19=pyhd8ed1ab_1
-  - fonttools=4.58.5=py312h05f76fc_0
+  - fonttools=4.59.0=py312h05f76fc_0
   - freetype=2.13.3=h57928b3_1
-  - fsspec=2025.5.1=pyhd8ed1ab_0
+  - fsspec=2025.7.0=pyhd8ed1ab_0
   - geoana=0.7.2=py312hbaa7e33_0
   - h2=4.2.0=pyhd8ed1ab_0
   - h5py=3.14.0=nompi_py312h6cc2a29_100
-  - hdf5=1.14.6=nompi_he30205f_102
+  - hdf5=1.14.6=nompi_he30205f_103
   - hpack=4.1.0=pyhd8ed1ab_0
   - hyperframe=6.1.0=pyhd8ed1ab_0
   - importlib-metadata=8.7.0=pyhe01879c_1
@@ -56,20 +56,20 @@ dependencies:
   - libcurl=8.14.1=h88aaa65_0
   - libdeflate=1.24=h76ddb4d_0
   - libdlf=0.3.0=pyhd8ed1ab_1
-  - libexpat=2.7.0=he0c23c2_0
+  - libexpat=2.7.1=hac47afa_0
   - libffi=3.4.6=h537db12_1
   - libfreetype=2.13.3=h57928b3_1
   - libfreetype6=2.13.3=h0b5ce68_1
   - libgcc=15.1.0=h1383e82_3
   - libgomp=15.1.0=h1383e82_3
-  - libhwloc=2.11.2=default_ha69328c_1001
+  - libhwloc=2.11.2=default_h88281d1_1002
   - libiconv=1.18=h135ad9c_1
   - libjpeg-turbo=3.1.0=h2466b09_0
   - liblapack=3.9.0=32_h1aa476e_mkl
   - liblzma=5.8.1=h2466b09_2
   - libpng=1.6.50=h95bef1e_0
   - libspatialindex=2.0.0=h5a68840_0
-  - libsqlite=3.50.2=hf5d6505_2
+  - libsqlite=3.50.3=hf5d6505_1
   - libssh2=1.11.1=h9aa295b_0
   - libtiff=4.7.0=h05922d8_5
   - libwebp-base=1.6.0=h4d5522a_0
@@ -77,7 +77,7 @@ dependencies:
   - libxcb=1.17.0=h0e4246c_0
   - libxml2=2.13.8=h442d1da_0
   - libzlib=1.3.1=h2466b09_2
-  - llvm-openmp=20.1.7=h30eaf37_0
+  - llvm-openmp=20.1.8=hfa2b4ca_0
   - locket=1.0.0=pyhd8ed1ab_0
   - markupsafe=3.0.2=py312h31fea79_1
   - matplotlib-base=3.8.4=py312hfee7060_2
@@ -107,14 +107,14 @@ dependencies:
   - python-dateutil=2.9.0.post0=pyhe01879c_2
   - python-mumps=0.0.3=py312h8095395_0
   - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python_abi=3.12=7_cp312
+  - python_abi=3.12=8_cp312
   - pytz=2025.2=pyhd8ed1ab_0
   - pyyaml=6.0.2=py312h31fea79_2
   - rtree=1.2.0=py312h50e5f8f_1
   - scikit-learn=1.4.2=py312h816cc57_1
   - scipy=1.14.1=py312h337df96_2
   - setuptools=80.9.0=pyhff2d567_0
-  - six=1.17.0=pyhd8ed1ab_0
+  - six=1.17.0=pyhe01879c_1
   - sortedcontainers=2.4.0=pyhd8ed1ab_1
   - tbb=2021.13.0=h62715c5_1
   - tblib=3.1.0=pyhd8ed1ab_0
@@ -131,9 +131,9 @@ dependencies:
   - ucrt=10.0.22621.0=h57928b3_1
   - unicodedata2=16.0.0=py312h4389bb4_0
   - urllib3=2.5.0=pyhd8ed1ab_0
-  - vc=14.3=h41ae7f8_26
-  - vc14_runtime=14.44.35208=h818238b_26
-  - vs2015_runtime=14.44.35208=h38c0c73_26
+  - vc=14.3=h2b53caa_30
+  - vc14_runtime=14.44.35208=h818238b_30
+  - vs2015_runtime=14.44.35208=h38c0c73_30
   - wheel=0.45.1=pyhd8ed1ab_1
   - win_inet_pton=1.1.0=pyh7428d3b_8
   - wrapt=1.17.2=py312h4389bb4_0
@@ -148,8 +148,8 @@ dependencies:
   - zstd=1.5.7=hbeecb71_2
   - pip:
       - geoapps-utils @ git+https://github.com/MiraGeoscience/geoapps-utils.git@c64e2db54bfdacc19ef675a7d54288aaad8b78a8
-      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
-      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+      - geoh5py @ git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
+      - mira-simpeg @ git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
       - octree-creation-app @ git+https://github.com/MiraGeoscience/octree-creation-app.git@02fbd85bf7d54b8f4336f1f0094c1c3e27714e81
       - param-sweeps @ git+https://github.com/MiraGeoscience/param-sweeps.git@9ed6091534d638171957a17324e1a1e8f067b434
 
diff --git a/py-3.10.conda-lock.yml b/py-3.10.conda-lock.yml
index c0876df8..f211c3a2 100644
--- a/py-3.10.conda-lock.yml
+++ b/py-3.10.conda-lock.yml
@@ -276,31 +276,31 @@ package:
   category: main
   optional: false
 - name: astroid
-  version: 3.3.10
+  version: 3.3.11
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
     typing_extensions: '>=4'
-  url: https://repo.prefix.dev/conda-forge/linux-64/astroid-3.3.10-py310hff52083_0.conda
+  url: https://repo.prefix.dev/conda-forge/linux-64/astroid-3.3.11-py310hff52083_0.conda
   hash:
-    md5: 23d30197602d01c464d5ffec91091289
-    sha256: 8fc36a19f99ce069add5036b7956c993d17e6fdffe6d89094269ee44d5258376
+    md5: a6ac735bba663f77669789c9ed1d4bd1
+    sha256: 7546e57aceee80ff58388c6cfcc072f8c0df057a87bed551325a404b13b9012d
   category: dev
   optional: true
 - name: astroid
-  version: 3.3.10
+  version: 3.3.11
   manager: conda
   platform: win-64
   dependencies:
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
     typing_extensions: '>=4'
-  url: https://repo.prefix.dev/conda-forge/win-64/astroid-3.3.10-py310h5588dad_0.conda
+  url: https://repo.prefix.dev/conda-forge/win-64/astroid-3.3.11-py310h5588dad_0.conda
   hash:
-    md5: 6eb388b714751d500899de8cb4b4f0fe
-    sha256: 9b1d89a07594eea4b095e36df447fd2f64e4e492256b7b91388378e51996517c
+    md5: 6f5ec356c2f46223dc446283fd39acb7
+    sha256: 2f4d34b9b4fb7c3902ba1f63e4d43625084a544993a7f14fac8403fbc1376246
   category: dev
   optional: true
 - name: asttokens
@@ -662,27 +662,27 @@ package:
   category: main
   optional: false
 - name: ca-certificates
-  version: 2025.7.9
+  version: 2025.7.14
   manager: conda
   platform: linux-64
   dependencies:
     __unix: ''
-  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.9-hbd8a1cb_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.14-hbd8a1cb_0.conda
   hash:
-    md5: 54521bf3b59c86e2f55b7294b40a04dc
-    sha256: d2d7327b09d990d0f51e7aec859a5879743675e377fcf9b4ec4db2dbeb75e15d
+    md5: d16c90324aef024877d8713c0b7fea5b
+    sha256: 29defbd83c7829788358678ec996adeee252fa4d4274b7cd386c1ed73d2b201e
   category: main
   optional: false
 - name: ca-certificates
-  version: 2025.7.9
+  version: 2025.7.14
   manager: conda
   platform: win-64
   dependencies:
     __win: ''
-  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.9-h4c7d964_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.14-h4c7d964_0.conda
   hash:
-    md5: c7a9b2d28779665c251e6a4db1f8cd23
-    sha256: 35c83fc1cab4b9aedba317ba617e37fee20e5ed1cf7135d8eba6f4d8cdf9c4b3
+    md5: 40334594f5916bc4c0a0313d64bfe046
+    sha256: a7fe9bce8a0f9f985d44940ec13a297df571ee70fb2264b339c62fa190b2c437
   category: main
   optional: false
 - name: cached-property
@@ -734,27 +734,27 @@ package:
   category: main
   optional: false
 - name: certifi
-  version: 2025.7.9
+  version: 2025.7.14
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.9'
-  url: https://repo.prefix.dev/conda-forge/noarch/certifi-2025.7.9-pyhd8ed1ab_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/certifi-2025.7.14-pyhd8ed1ab_0.conda
   hash:
-    md5: fac657ab965a05f69ba777a7b934255a
-    sha256: d5bcebb3748005b50479055b69bd6a19753219effcf921b9158ef3ff588c752b
+    md5: 4c07624f3faefd0bb6659fb7396cfa76
+    sha256: f68ee5038f37620a4fb4cdd8329c9897dce80331db8c94c3ab264a26a8c70a08
   category: main
   optional: false
 - name: certifi
-  version: 2025.7.9
+  version: 2025.7.14
   manager: conda
   platform: win-64
   dependencies:
     python: '>=3.9'
-  url: https://repo.prefix.dev/conda-forge/noarch/certifi-2025.7.9-pyhd8ed1ab_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/certifi-2025.7.14-pyhd8ed1ab_0.conda
   hash:
-    md5: fac657ab965a05f69ba777a7b934255a
-    sha256: d5bcebb3748005b50479055b69bd6a19753219effcf921b9158ef3ff588c752b
+    md5: 4c07624f3faefd0bb6659fb7396cfa76
+    sha256: f68ee5038f37620a4fb4cdd8329c9897dce80331db8c94c3ab264a26a8c70a08
   category: main
   optional: false
 - name: cffi
@@ -891,29 +891,27 @@ package:
   category: main
   optional: false
 - name: comm
-  version: 0.2.2
+  version: 0.2.3
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.9'
-    traitlets: '>=5.3'
-  url: https://repo.prefix.dev/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_1.conda
+    python: ''
+  url: https://repo.prefix.dev/conda-forge/noarch/comm-0.2.3-pyhe01879c_0.conda
   hash:
-    md5: 74673132601ec2b7fc592755605f4c1b
-    sha256: 7e87ef7c91574d9fac19faedaaee328a70f718c9b4ddadfdc0ba9ac021bd64af
+    md5: 2da13f2b299d8e1995bafbbe9689a2f7
+    sha256: 576a44729314ad9e4e5ebe055fbf48beb8116b60e58f9070278985b2b634f212
   category: dev
   optional: true
 - name: comm
-  version: 0.2.2
+  version: 0.2.3
   manager: conda
   platform: win-64
   dependencies:
     python: '>=3.9'
-    traitlets: '>=5.3'
-  url: https://repo.prefix.dev/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_1.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/comm-0.2.3-pyhe01879c_0.conda
   hash:
-    md5: 74673132601ec2b7fc592755605f4c1b
-    sha256: 7e87ef7c91574d9fac19faedaaee328a70f718c9b4ddadfdc0ba9ac021bd64af
+    md5: 2da13f2b299d8e1995bafbbe9689a2f7
+    sha256: 576a44729314ad9e4e5ebe055fbf48beb8116b60e58f9070278985b2b634f212
   category: dev
   optional: true
 - name: contourpy
@@ -951,23 +949,23 @@ package:
   category: main
   optional: false
 - name: coverage
-  version: 7.9.2
+  version: 7.10.0
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=13'
+    libgcc: '>=14'
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
     tomli: ''
-  url: https://repo.prefix.dev/conda-forge/linux-64/coverage-7.9.2-py310h89163eb_0.conda
+  url: https://repo.prefix.dev/conda-forge/linux-64/coverage-7.10.0-py310h3406613_0.conda
   hash:
-    md5: f02d32dc5b0547e137f871a33e032842
-    sha256: 0cc631996a1e5925a811361a3972f964a92f0c49dcbde341a24dc58130d91e52
+    md5: 53f445ee472c39ffa4903a8f31af3498
+    sha256: 5efbe027b5706c53b1f296cc71ec70324925a21189fe11044595098391d14ab9
   category: dev
   optional: true
 - name: coverage
-  version: 7.9.2
+  version: 7.10.0
   manager: conda
   platform: win-64
   dependencies:
@@ -977,10 +975,10 @@ package:
     ucrt: '>=10.0.20348.0'
     vc: '>=14.3,<15'
     vc14_runtime: '>=14.44.35208'
-  url: https://repo.prefix.dev/conda-forge/win-64/coverage-7.9.2-py310hdb0e946_0.conda
+  url: https://repo.prefix.dev/conda-forge/win-64/coverage-7.10.0-py310hdb0e946_0.conda
   hash:
-    md5: 99a4cbaef874f64995c896860445a659
-    sha256: eea6d08498ff5e141837200b9446528541b72520dd319d62f63a2e27c1fdeb1b
+    md5: beceb8cbcc26908fd3f746caeb7a4bf1
+    sha256: b4d8866094256cc7f5d588d61fd212a5fe18eabc9ea52166b5edeef1e37736a9
   category: dev
   optional: true
 - name: cpython
@@ -1118,35 +1116,35 @@ package:
   category: dev
   optional: true
 - name: debugpy
-  version: 1.8.14
+  version: 1.8.15
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    libgcc: '>=13'
-    libstdcxx: '>=13'
-    python: '>=3.10,<3.11.0a0'
+    libgcc: '>=14'
+    libstdcxx: '>=14'
+    python: ''
     python_abi: 3.10.*
-  url: https://repo.prefix.dev/conda-forge/linux-64/debugpy-1.8.14-py310hf71b8c6_0.conda
+  url: https://repo.prefix.dev/conda-forge/linux-64/debugpy-1.8.15-py310h25320af_0.conda
   hash:
-    md5: f684f79f834ebff4917f1fef366e2ca4
-    sha256: 532e0ec65d575b1f2b77febff5e357759e4e463118c0b4c01596d954f491bacc
+    md5: 513541327fd828430aaf3d3af621664e
+    sha256: c2c781772677a4b5d8b67328f72b98a9217cdb0ddb31342d29f64f2904aadaa1
   category: dev
   optional: true
 - name: debugpy
-  version: 1.8.14
+  version: 1.8.15
   manager: conda
   platform: win-64
   dependencies:
-    python: '>=3.10,<3.11.0a0'
+    python: ''
     python_abi: 3.10.*
     ucrt: '>=10.0.20348.0'
-    vc: '>=14.2,<15'
-    vc14_runtime: '>=14.29.30139'
-  url: https://repo.prefix.dev/conda-forge/win-64/debugpy-1.8.14-py310h9e98ed7_0.conda
+    vc: '>=14.3,<15'
+    vc14_runtime: '>=14.44.35208'
+  url: https://repo.prefix.dev/conda-forge/win-64/debugpy-1.8.15-py310h699e580_0.conda
   hash:
-    md5: 4849f4e95ac1018bf446394ee0661e16
-    sha256: 81c5c211a59888178a6d9011e74baf3bae5a319dfcd29a2a8ac3b30bcab5ef41
+    md5: 71b9b4a4db2133776f0b83d416317a49
+    sha256: c39c8de81bbb55e7351a1e1c0095a52f8e6371f8e20c862b9574097594104737
   category: dev
   optional: true
 - name: decorator
@@ -1414,25 +1412,25 @@ package:
   category: main
   optional: false
 - name: fonttools
-  version: 4.58.5
+  version: 4.59.0
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     brotli: ''
-    libgcc: '>=13'
+    libgcc: '>=14'
     munkres: ''
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
     unicodedata2: '>=15.1.0'
-  url: https://repo.prefix.dev/conda-forge/linux-64/fonttools-4.58.5-py310h89163eb_0.conda
+  url: https://repo.prefix.dev/conda-forge/linux-64/fonttools-4.59.0-py310h3406613_0.conda
   hash:
-    md5: f84b125a5ba0e319936be9aba48276ff
-    sha256: 379c2987b99f45530ca891ad90d5d9175665104c5658a2551776a093c1ae3500
+    md5: dc2e5602e20bbffb18314a70094b3c4a
+    sha256: 7ac6105dbbdb2e648b685b813f38a0df39b1d4264cbd13953c83ff7cf451269d
   category: main
   optional: false
 - name: fonttools
-  version: 4.58.5
+  version: 4.59.0
   manager: conda
   platform: win-64
   dependencies:
@@ -1444,10 +1442,10 @@ package:
     unicodedata2: '>=15.1.0'
     vc: '>=14.3,<15'
     vc14_runtime: '>=14.44.35208'
-  url: https://repo.prefix.dev/conda-forge/win-64/fonttools-4.58.5-py310hdb0e946_0.conda
+  url: https://repo.prefix.dev/conda-forge/win-64/fonttools-4.59.0-py310hdb0e946_0.conda
   hash:
-    md5: 4838fda5927aa6d029d5951efd350c8e
-    sha256: 09e4e313b5f36de710edadeef96aec5a684f8834c4da3b4c7a1c9f91a47938c3
+    md5: eae900c4fcb37e4a3f9fe9417c669f11
+    sha256: 8dc419489a74d368312a685d217896a04936373b409cf0da99807f59857cba48
   category: main
   optional: false
 - name: fqdn
@@ -1503,27 +1501,27 @@ package:
   category: main
   optional: false
 - name: fsspec
-  version: 2025.5.1
+  version: 2025.7.0
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.9'
-  url: https://repo.prefix.dev/conda-forge/noarch/fsspec-2025.5.1-pyhd8ed1ab_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
   hash:
-    md5: 2d2c9ef879a7e64e2dc657b09272c2b6
-    sha256: cd6ae92ae5aa91a7e58cf39f1442d4821279f43f1c9499d15f45558d4793d1e0
+    md5: a31ce802cd0ebfce298f342c02757019
+    sha256: f734d98cd046392fbd9872df89ac043d72ac15f6a2529f129d912e28ab44609c
   category: main
   optional: false
 - name: fsspec
-  version: 2025.5.1
+  version: 2025.7.0
   manager: conda
   platform: win-64
   dependencies:
     python: '>=3.9'
-  url: https://repo.prefix.dev/conda-forge/noarch/fsspec-2025.5.1-pyhd8ed1ab_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
   hash:
-    md5: 2d2c9ef879a7e64e2dc657b09272c2b6
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     rpds-py: '>=0.7.1'
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   optional: true
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+  version: 4.25.0
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     isoduration: ''
     jsonpointer: '>1.13'
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     python: '>=3.9'
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@@ -4471,12 +4465,12 @@ package:
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   dependencies:
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-    llvm-openmp: '>=19.1.2'
+    llvm-openmp: '>=20.1.8'
     tbb: 2021.*
-  url: https://repo.prefix.dev/conda-forge/linux-64/mkl-2024.2.2-ha957f24_16.conda
+  url: https://repo.prefix.dev/conda-forge/linux-64/mkl-2024.2.2-ha770c72_16.conda
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 - name: mkl
@@ -4598,7 +4592,7 @@ package:
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   optional: false
 - name: myst-nb
-  version: 1.2.0
+  version: 1.3.0
   manager: conda
   platform: linux-64
   dependencies:
@@ -4613,14 +4607,14 @@ package:
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     sphinx: '>=5'
     typing_extensions: ''
-  url: https://repo.prefix.dev/conda-forge/noarch/myst-nb-1.2.0-pyh29332c3_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/myst-nb-1.3.0-pyhe01879c_0.conda
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   category: dev
   optional: true
 - name: myst-nb
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+  version: 1.3.0
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@@ -4635,10 +4629,10 @@ package:
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     typing_extensions: ''
-  url: https://repo.prefix.dev/conda-forge/noarch/myst-nb-1.2.0-pyh29332c3_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/myst-nb-1.3.0-pyhe01879c_0.conda
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   category: dev
   optional: true
 - name: myst-parser
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   category: main
   optional: false
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   platform: linux-64
   dependencies: {}
-  url: https://repo.prefix.dev/conda-forge/noarch/python_abi-3.10-7_cp310.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/python_abi-3.10-8_cp310.conda
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 - name: python_abi
@@ -6252,10 +6222,10 @@ package:
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   platform: win-64
   dependencies: {}
-  url: https://repo.prefix.dev/conda-forge/noarch/python_abi-3.10-7_cp310.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/python_abi-3.10-8_cp310.conda
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   category: main
   optional: false
 - name: pytz
@@ -6283,19 +6253,19 @@ package:
   category: main
   optional: false
 - name: pywin32
-  version: '307'
+  version: '311'
   manager: conda
   platform: win-64
   dependencies:
-    python: '>=3.10,<3.11.0a0'
+    python: ''
     python_abi: 3.10.*
     ucrt: '>=10.0.20348.0'
-    vc: '>=14.2,<15'
-    vc14_runtime: '>=14.29.30139'
-  url: https://repo.prefix.dev/conda-forge/win-64/pywin32-307-py310h9e98ed7_3.conda
+    vc: '>=14.3,<15'
+    vc14_runtime: '>=14.44.35208'
+  url: https://repo.prefix.dev/conda-forge/win-64/pywin32-311-py310h282bd7d_0.conda
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   category: dev
   optional: true
 - name: pywinpty
@@ -6539,6 +6509,32 @@ package:
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   category: dev
   optional: true
+- name: rfc3987-syntax
+  version: 1.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    lark: '>=1.2.2'
+    python: ''
+  url: https://repo.prefix.dev/conda-forge/noarch/rfc3987-syntax-1.1.0-pyhe01879c_1.conda
+  hash:
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+    sha256: 70001ac24ee62058557783d9c5a7bbcfd97bd4911ef5440e3f7a576f9e43bc92
+  category: dev
+  optional: true
+- name: rfc3987-syntax
+  version: 1.1.0
+  manager: conda
+  platform: win-64
+  dependencies:
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+    python: '>=3.9'
+  url: https://repo.prefix.dev/conda-forge/noarch/rfc3987-syntax-1.1.0-pyhe01879c_1.conda
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+  category: dev
+  optional: true
 - name: rpds-py
   version: 0.26.0
   manager: conda
@@ -6736,11 +6732,11 @@ package:
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   platform: linux-64
   dependencies:
-    python: '>=3.9'
-  url: https://repo.prefix.dev/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda
+    python: ''
+  url: https://repo.prefix.dev/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda
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   category: main
   optional: false
 - name: six
@@ -6749,10 +6745,10 @@ package:
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   dependencies:
     python: '>=3.9'
-  url: https://repo.prefix.dev/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/six-1.17.0-pyhe01879c_1.conda
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   category: main
   optional: false
 - name: sniffio
@@ -8068,11 +8064,11 @@ package:
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   platform: win-64
   dependencies:
-    vc14_runtime: '>=14.44.35208'
-  url: https://repo.prefix.dev/conda-forge/win-64/vc-14.3-h41ae7f8_26.conda
+    vc14_runtime: '>=14.42.34433'
+  url: https://repo.prefix.dev/conda-forge/win-64/vc-14.3-h2b53caa_30.conda
   hash:
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   category: main
   optional: false
 - name: vc14_runtime
@@ -8081,10 +8077,10 @@ package:
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     ucrt: '>=10.0.20348.0'
-  url: https://repo.prefix.dev/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_26.conda
+  url: https://repo.prefix.dev/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_30.conda
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   optional: false
 - name: vs2015_runtime
@@ -8093,10 +8089,10 @@ package:
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     vc14_runtime: '>=14.44.35208'
-  url: https://repo.prefix.dev/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_26.conda
+  url: https://repo.prefix.dev/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_30.conda
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   optional: false
 - name: wcwidth
@@ -8590,12 +8586,12 @@ package:
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     pillow: '>=10.3.0,<10.4.0'
     pydantic: '>=2.5.2,<3.0.0'
-  url: git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
+  url: git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
   hash:
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+    sha256: 53f7981670df120297945a4c3c1f7fce74f5ed3a
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-    url: git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
+    url: git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
   category: main
   optional: false
 - name: geoh5py
@@ -8607,16 +8603,16 @@ package:
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     pillow: '>=10.3.0,<10.4.0'
     pydantic: '>=2.5.2,<3.0.0'
-  url: git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
+  url: git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
   hash:
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+    sha256: 53f7981670df120297945a4c3c1f7fce74f5ed3a
   source:
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-    url: git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
+    url: git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
   category: main
   optional: false
 - name: mira-simpeg
-  version: 0.23.0.1a5.dev37+g86e22e6fa
+  version: 0.23.0.1a5.dev45+g01a7068fd
   manager: pip
   platform: linux-64
   dependencies:
@@ -8628,16 +8624,16 @@ package:
     numpy: '>=1.22'
     pymatsolver: '>=0.3'
     scipy: '>=1.8'
-  url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+  url: git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
   hash:
-    sha256: 86e22e6fa457859d494d94552e6431728e513d7a
+    sha256: 01a7068fdab7fba8695ad371c9fd9164760a09df
   source:
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-    url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+    url: git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
   category: main
   optional: false
 - name: mira-simpeg
-  version: 0.23.0.1a5.dev37+g86e22e6fa
+  version: 0.23.0.1a5.dev45+g01a7068fd
   manager: pip
   platform: win-64
   dependencies:
@@ -8649,12 +8645,12 @@ package:
     numpy: '>=1.22'
     pymatsolver: '>=0.3'
     scipy: '>=1.8'
-  url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+  url: git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
   hash:
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+    sha256: 01a7068fdab7fba8695ad371c9fd9164760a09df
   source:
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-    url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+    url: git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
   category: main
   optional: false
 - name: octree-creation-app
diff --git a/py-3.11.conda-lock.yml b/py-3.11.conda-lock.yml
index 8f76979e..a5133369 100644
--- a/py-3.11.conda-lock.yml
+++ b/py-3.11.conda-lock.yml
@@ -276,29 +276,29 @@ package:
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   optional: false
 - name: astroid
-  version: 3.3.10
+  version: 3.3.11
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://repo.prefix.dev/conda-forge/linux-64/astroid-3.3.10-py311h38be061_0.conda
+  url: https://repo.prefix.dev/conda-forge/linux-64/astroid-3.3.11-py311h38be061_0.conda
   hash:
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   category: dev
   optional: true
 - name: astroid
-  version: 3.3.10
+  version: 3.3.11
   manager: conda
   platform: win-64
   dependencies:
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://repo.prefix.dev/conda-forge/win-64/astroid-3.3.10-py311h1ea47a8_0.conda
+  url: https://repo.prefix.dev/conda-forge/win-64/astroid-3.3.11-py311h1ea47a8_0.conda
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   category: dev
   optional: true
 - name: asttokens
@@ -660,27 +660,27 @@ package:
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   optional: false
 - name: ca-certificates
-  version: 2025.7.9
+  version: 2025.7.14
   manager: conda
   platform: linux-64
   dependencies:
     __unix: ''
-  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.9-hbd8a1cb_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.14-hbd8a1cb_0.conda
   hash:
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   category: main
   optional: false
 - name: ca-certificates
-  version: 2025.7.9
+  version: 2025.7.14
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   platform: win-64
   dependencies:
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-  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.9-h4c7d964_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.14-h4c7d964_0.conda
   hash:
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   optional: false
 - name: cached-property
@@ -732,27 +732,27 @@ package:
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   optional: false
 - name: certifi
-  version: 2025.7.9
+  version: 2025.7.14
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.9'
-  url: https://repo.prefix.dev/conda-forge/noarch/certifi-2025.7.9-pyhd8ed1ab_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/certifi-2025.7.14-pyhd8ed1ab_0.conda
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-    llvm-openmp: '>=19.1.2'
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-  url: https://repo.prefix.dev/conda-forge/noarch/myst-nb-1.2.0-pyh29332c3_0.conda
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-  url: https://repo.prefix.dev/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_26.conda
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-  url: git+https://github.com/MiraGeoscience/geoh5py.git@87f68c3a25cb3fac2a4c9de8c0d74ec4e58d0963
+  url: git+https://github.com/MiraGeoscience/geoh5py.git@53f7981670df120297945a4c3c1f7fce74f5ed3a
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 - name: geoh5py
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     pydantic: '>=2.5.2,<3.0.0'
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+  version: 0.23.0.1a5.dev45+g01a7068fd
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@@ -8713,16 +8709,16 @@ package:
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     pymatsolver: '>=0.3'
     scipy: '>=1.8'
-  url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+  url: git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
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-    url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
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+  version: 0.23.0.1a5.dev45+g01a7068fd
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@@ -8734,12 +8730,12 @@ package:
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     pymatsolver: '>=0.3'
     scipy: '>=1.8'
-  url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
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-    url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
+    url: git+https://github.com/MiraGeoscience/simpeg.git@01a7068fdab7fba8695ad371c9fd9164760a09df
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diff --git a/py-3.12.conda-lock.yml b/py-3.12.conda-lock.yml
index b5b634d0..3b82a24c 100644
--- a/py-3.12.conda-lock.yml
+++ b/py-3.12.conda-lock.yml
@@ -276,29 +276,29 @@ package:
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+  version: 3.3.11
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     python_abi: 3.12.*
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     python_abi: 3.12.*
-  url: https://repo.prefix.dev/conda-forge/win-64/astroid-3.3.10-py312h2e8e312_0.conda
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+  version: 2025.7.14
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-  url: https://repo.prefix.dev/conda-forge/noarch/ca-certificates-2025.7.9-h4c7d964_0.conda
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-  url: https://repo.prefix.dev/conda-forge/noarch/certifi-2025.7.9-pyhd8ed1ab_0.conda
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 - name: comm
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+  version: 0.2.3
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-    traitlets: '>=5.3'
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-    traitlets: '>=5.3'
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     tomli: ''
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     vc14_runtime: '>=14.44.35208'
-  url: https://repo.prefix.dev/conda-forge/win-64/coverage-7.9.2-py312h05f76fc_0.conda
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 - name: cpython
@@ -1116,35 +1114,35 @@ package:
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+  version: 1.8.15
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-    libstdcxx: '>=13'
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+    libgcc: '>=14'
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     python_abi: 3.12.*
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-  url: https://repo.prefix.dev/conda-forge/win-64/debugpy-1.8.14-py312h275cf98_0.conda
+    vc: '>=14.3,<15'
+    vc14_runtime: '>=14.44.35208'
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 - name: decorator
@@ -1438,25 +1436,25 @@ package:
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 - name: fonttools
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   dependencies:
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-    libgcc: '>=13'
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     unicodedata2: '>=15.1.0'
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+  url: https://repo.prefix.dev/conda-forge/linux-64/fonttools-4.59.0-py312h8a5da7c_0.conda
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 - name: fonttools
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-  url: https://repo.prefix.dev/conda-forge/win-64/fonttools-4.58.5-py312h05f76fc_0.conda
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-  url: https://repo.prefix.dev/conda-forge/noarch/fsspec-2025.5.1-pyhd8ed1ab_0.conda
+  url: https://repo.prefix.dev/conda-forge/noarch/fsspec-2025.7.0-pyhd8ed1ab_0.conda
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     vc14_runtime: '>=14.44.35208'
-  url: https://repo.prefix.dev/conda-forge/win-64/hdf5-1.14.6-nompi_he30205f_102.conda
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     rpds-py: '>=0.7.1'
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   optional: true
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+  version: 4.25.0
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     isoduration: ''
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-  url: https://repo.prefix.dev/conda-forge/noarch/myst-nb-1.2.0-pyh29332c3_0.conda
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-  url: https://repo.prefix.dev/conda-forge/noarch/myst-nb-1.2.0-pyh29332c3_0.conda
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-  url: git+https://github.com/MiraGeoscience/simpeg.git@86e22e6fa457859d494d94552e6431728e513d7a
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