implementing surface transform and related tests

.gitignore

@@ -98,4 +98,7 @@ ENV/
 .imdone
 
 # Ruff
-.ruff_cache/
+.ruff_cache/
+
+# niwrap temp data
+.temp-niwrap-data

neuromaps/neuromaps_nhp_utils/surface_sphere_project_unproject.py

@@ -0,0 +1,22 @@
+
+import os
+from niwrap import workbench as wb
+
+
+def surface_sphere_project_unproject(sphere_in, sphere_project_to, sphere_unproject_from, sphere_out):
+    """Project and unproject a surface from one sphere to another.
+
+    Parameters
+    ----------
+    sphere_in : str
+        Path to input spherical surface.
+    sphere_project_to : str
+        Path to spherical surface to project to.
+    sphere_unproject_from : str
+        Path to spherical surface to unproject from.
+    sphere_out : str
+        Path to output spherical surface.
+    """
+    wb.surface_sphere_project_unproject(sphere_in, sphere_project_to, sphere_unproject_from, sphere_out)
+    return sphere_out
+

neuromaps/neuromaps_nhp_utils/tests/test_surface_sphere_project_unproject.py

@@ -0,0 +1,53 @@
+import pytest
+import os
+from pathlib import Path
+
+from styxdefs import set_global_runner
+from styxsingularity import SingularityRunner
+from niwrap import workbench as wb
+import nibabel as nib
+
+from neuromaps.neuromaps_nhp_utils.surface_sphere_project_unproject import surface_sphere_project_unproject
+
+my_runner = SingularityRunner(
+    images={"brainlife/connectome_workbench:1.5.0-freesurfer-update": "/home/bshrestha/projects/Tfunck/neuromaps.sif"}
+)
+data_dir = Path("/home/bshrestha/projects/Tfunck/neuromaps-nhp/.temp-niwrap-data").resolve()
+my_runner.data_dir = data_dir
+set_global_runner(my_runner)
+
+
+@pytest.mark.parametrize(
+    "sphere_in,sphere_project_to,sphere_unproject_from,sphere_out",
+    [
+        (
+            str(Path("/home/bshrestha/projects/Tfunck/neuromaps-nhp-prep/share/Outputs/Yerkes19-S1200/src-S1200_to-Yerkes19_den-32k_hemi-L_sphere.surf.gii")),
+            str(Path("/home/bshrestha/projects/Tfunck/neuromaps-nhp-prep/share/Inputs/Yerkes19/src-Yerkes19_den-32k_hemi-L_sphere.surf.gii")),
+            str(Path("/home/bshrestha/projects/Tfunck/neuromaps-nhp-prep/share/Outputs/D99-Yerkes19/src-Yerkes19_to-D99_den-32k_hemi-L_sphere.surf.gii")),
+            str(data_dir / "out_sphere.surf.gii"),
+        ),
+        # Add more tuples here for additional test cases
+    ]
+)
+def test_surface_sphere_project_unproject(sphere_in, sphere_project_to, sphere_unproject_from, sphere_out):
+    """
+    Test surface_sphere_project_unproject wrapper function.
+
+    == Example ==
+    ------------------------
+    S1200 to Yerkes19 to D99
+    ------------------------
+    sphere_in               = S1200_aligned_t-_Yerkes19 (Input)
+    project_to_sphere       = Yerkes19 (Intermediate)
+    unproject_from_sphere   = Yerkes19_to_D99 (Target)
+    out_sphere              = str(Path(f"{data_dir}/out_sphere.surf.gii").resolve())
+    ------------------------
+    """
+
+    result = surface_sphere_project_unproject(
+        sphere_in, sphere_project_to, sphere_unproject_from, sphere_out
+    )
+    assert os.path.exists(result)
+
+    # check if the output file has the same number of vertices as the input file
+    assert nib.load(result).darrays[0].data.shape == nib.load(sphere_in).darrays[0].data.shape

pyproject.toml

@@ -2,7 +2,7 @@
 name = "neuromaps"
 description = "A toolbox for projecting, resampling, and comparing brain maps"
 readme = "README.rst"
-requires-python = ">=3.8"
+requires-python = ">=3.10"
 license = {file = "LICENSE"}
 keywords = ["network neuroscience", "brain maps", "annotated connectomes"]
 authors = [
@@ -20,12 +20,17 @@ classifiers = [
 ]
 
 dependencies = [
-  "numpy >=1.14.0",
-  "scipy >=0.17",
-  "matplotlib >=3.5.0",
+  "numpy>=1.14.0",
+  "scipy>=0.17",
+  "matplotlib>=3.5.0",
   "scikit-learn",
-  "nibabel >=3.0.0",
-  "nilearn"
+  "nibabel>=3.0.0",
+  "nilearn",
+  "pytest>=8.3.5",
+  "packaging>=25.0",
+  "pandas>=2.0.3",
+  "niwrap>=0.6.3",
+  "styxsingularity>=0.5.1",
 ]
 
 dynamic=["version"]