linting fixes

movement/io/load_poses.py

@@ -700,10 +700,12 @@ def _ds_from_valid_data(data: ValidPosesDataset) -> xr.Dataset:
 
 def from_anipose_df(anipose_triangulation_df, individual_name="individual_0"):
     """Convert triangulation dataframe to xarray dataset.
-    Reshape dataframe with columns keypoint1_x, keypoint1_y, keypoint1_z, keypoint1_confidence_score,
-    keypoint2_x, keypoint2_y, keypoint2_z, keypoint2_confidence_score, ...
-    to array of positions with dimensions time, individuals, keypoints, space,
-    and array of confidence scores with dimensions time, individuals, keypoints
+    
+    Reshape dataframe with columns keypoint1_x, keypoint1_y, keypoint1_z,
+    keypoint1_confidence_score,keypoint2_x, keypoint2_y, keypoint2_z,
+    keypoint2_confidence_score...to array of positions with dimensions
+    time, individuals, keypoints, space, and array of confidence scores
+    with dimensions time, individuals, keypoints.
 
     Parameters
     ----------

movement/validators/files.py

@@ -285,7 +285,7 @@ def _file_contains_expected_headers(self, attribute, value):
                 f"Expected: {expected_headers}.",
             )
 
-        # For all other headers, check they have expected suffixes and base names
+        # For other headers, check they have expected suffixes and base names
         other_headers = [h for h in headers if h not in expected_headers]
         for header in other_headers:
             # Check suffix

tests/conftest.py

@@ -202,7 +202,8 @@ def dlc_style_df():
 def missing_keypoint_headers_anipose_csv_file(tmp_path):
     """Return the file path for a fake single-individual .csv file."""
     file_path = tmp_path / "missing_keypoint_headers.csv"
-    headers = ["fnum", "center_0", "center_1", "center_2", "M_00", "M_01", "M_02", "M_10", "M_11", "M_12", "M_20", "M_21", "M_22"]
+    headers = ["fnum", "center_0", "center_1", "center_2", "M_00", "M_01", 
+               "M_02", "M_10", "M_11", "M_12", "M_20", "M_21", "M_22"]
     headers.extend(["kp0_x", "kp0_y", "kp0_score", "kp0_error", "kp0_ncams"])
     with open(file_path, "w") as f:
         f.write(",".join(headers))
@@ -214,7 +215,8 @@ def missing_keypoint_headers_anipose_csv_file(tmp_path):
 def spurious_header_anipose_csv_file(tmp_path):
     """Return the file path for a fake single-individual .csv file."""
     file_path = tmp_path / "spurious_header.csv"
-    headers = ["fnum", "center_0", "center_1", "center_2", "M_00", "M_01", "M_02", "M_10", "M_11", "M_12", "M_20", "M_21", "M_22"]
+    headers = ["fnum", "center_0", "center_1", "center_2", "M_00", "M_01", 
+               "M_02", "M_10", "M_11", "M_12", "M_20", "M_21", "M_22"]
     headers.extend(["funny_header"])
     with open(file_path, "w") as f:
         f.write(",".join(headers))

tests/test_unit/test_validators/test_files_validators.py

@@ -1,11 +1,11 @@
 import pytest
 
 from movement.validators.files import (
+    ValidAniposeCSV,
     ValidDeepLabCutCSV,
     ValidFile,
     ValidHDF5,
     ValidVIATracksCSV,
-    ValidAniposeCSV,
 )