Merge branch 'mdeval_dev'
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commit
7b9f8b6773
@ -47,6 +47,21 @@ def _pbc_points_reduced(
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return coordinates_pbc, indices
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def _build_tree(points, box, r_max, pore_geometry):
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if np.all(np.diag(np.diag(box)) == box):
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tree = KDTree(points, boxsize=box)
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points_pbc_index = None
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else:
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points_pbc, points_pbc_index = _pbc_points_reduced(
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points,
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pore_geometry,
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box,
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thickness=r_max + 0.01,
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)
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tree = KDTree(points_pbc)
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return tree, points_pbc_index
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def occupation_matrix(
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trajectory: Coordinates,
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edge_length: float = 0.05,
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@ -113,23 +128,14 @@ def find_maxima(
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maxima_df = occupation_df.copy()
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maxima_df["maxima"] = None
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points = np.array(maxima_df[["x", "y", "z"]])
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if np.all(np.diag(np.diag(box)) == box):
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tree = KDTree(points, boxsize=box)
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all_neighbors = tree.query_ball_point(points, radius)
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else:
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points_pbc, points_pbc_index = _pbc_points_reduced(
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points,
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pore_geometry,
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box,
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thickness=radius + 0.01,
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)
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tree = KDTree(points_pbc)
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all_neighbors = tree.query_ball_point(points, radius)
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all_neighbors = points_pbc_index[all_neighbors]
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tree, points_pbc_index = _build_tree(points, box, radius, pore_geometry)
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for i in range(len(maxima_df)):
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if maxima_df.loc[i, "maxima"] is not None:
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continue
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neighbors = np.array(all_neighbors[i])
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maxima_pos = maxima_df.loc[i, ["x", "y", "z"]]
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neighbors = np.array(tree.query_ball_point(maxima_pos, radius))
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if points_pbc_index is not None:
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neighbors = points_pbc_index[neighbors]
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neighbors = neighbors[neighbors != i]
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if len(neighbors) == 0:
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maxima_df.loc[i, "maxima"] = True
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@ -154,16 +160,7 @@ def _calc_energies(
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nodes: int = 8,
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) -> NDArray:
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points = np.array(maxima_df[["x", "y", "z"]])
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if np.all(np.diag(np.diag(box)) == box):
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tree = KDTree(points, boxsize=box)
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else:
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points_pbc, points_pbc_index = _pbc_points_reduced(
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points,
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pore_geometry,
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box,
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thickness=bins[-1] + 0.01,
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)
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tree = KDTree(points_pbc)
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tree, points_pbc_index = _build_tree(points, box, bins[-1], pore_geometry)
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maxima = maxima_df.loc[maxima_indices, ["x", "y", "z"]]
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maxima_occupations = np.array(maxima_df.loc[maxima_indices, "occupation"])
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num_of_neighbors = np.max(
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@ -187,7 +184,7 @@ def _calc_energies(
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all_occupied_bins_hist = []
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if distances.ndim == 1:
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current_distances = distances[1:][distances[1:] <= bins[-1]]
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if np.all(np.diag(np.diag(box)) == box):
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if points_pbc_index is None:
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current_indices = indices[1:][distances[1:] <= bins[-1]]
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else:
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current_indices = points_pbc_index[indices[1:][distances[1:] <= bins[-1]]]
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@ -201,7 +198,7 @@ def _calc_energies(
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return result
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for i, maxima_occupation in enumerate(maxima_occupations):
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current_distances = distances[i, 1:][distances[i, 1:] <= bins[-1]]
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if np.all(np.diag(np.diag(box)) == box):
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if points_pbc_index is None:
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current_indices = indices[i, 1:][distances[i, 1:] <= bins[-1]]
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else:
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current_indices = points_pbc_index[
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