Refactor x2sys_cross to remove verbose info and return output statements (#1572)

Silences captured stderr messages in the log from running x2sys_cross.

Author: weiji14

pygmt/tests/test_x2sys_cross.py

@@ -44,15 +44,13 @@ def test_x2sys_cross_input_file_output_file(mock_x2sys_home):
         x2sys_init(tag=tag, fmtfile="xyz", force=True)
         outfile = os.path.join(tmpdir, "tmp_coe.txt")
         output = x2sys_cross(
-            tracks=["@tut_ship.xyz"], tag=tag, coe="i", outfile=outfile, verbose="i"
+            tracks=["@tut_ship.xyz"], tag=tag, coe="i", outfile=outfile
         )
 
         assert output is None  # check that output is None since outfile is set
         assert os.path.exists(path=outfile)  # check that outfile exists at path
         _ = pd.read_csv(outfile, sep="\t", header=2)  # ensure ASCII text file loads ok
 
-    return output
-
 
 def test_x2sys_cross_input_file_output_dataframe(mock_x2sys_home):
     """
@@ -62,16 +60,14 @@ def test_x2sys_cross_input_file_output_dataframe(mock_x2sys_home):
     with TemporaryDirectory(prefix="X2SYS", dir=os.getcwd()) as tmpdir:
         tag = os.path.basename(tmpdir)
         x2sys_init(tag=tag, fmtfile="xyz", force=True)
-        output = x2sys_cross(tracks=["@tut_ship.xyz"], tag=tag, coe="i", verbose="i")
+        output = x2sys_cross(tracks=["@tut_ship.xyz"], tag=tag, coe="i")
 
         assert isinstance(output, pd.DataFrame)
         assert output.shape == (14294, 12)
         columns = list(output.columns)
         assert columns[:6] == ["x", "y", "i_1", "i_2", "dist_1", "dist_2"]
         assert columns[6:] == ["head_1", "head_2", "vel_1", "vel_2", "z_X", "z_M"]
 
-    return output
-
 
 def test_x2sys_cross_input_dataframe_output_dataframe(mock_x2sys_home, tracks):
     """
@@ -82,7 +78,7 @@ def test_x2sys_cross_input_dataframe_output_dataframe(mock_x2sys_home, tracks):
         tag = os.path.basename(tmpdir)
         x2sys_init(tag=tag, fmtfile="xyz", force=True)
 
-        output = x2sys_cross(tracks=tracks, tag=tag, coe="i", verbose="i")
+        output = x2sys_cross(tracks=tracks, tag=tag, coe="i")
 
         assert isinstance(output, pd.DataFrame)
         assert output.shape == (14, 12)
@@ -92,8 +88,6 @@ def test_x2sys_cross_input_dataframe_output_dataframe(mock_x2sys_home, tracks):
         assert output.dtypes["i_1"].type == np.object_
         assert output.dtypes["i_2"].type == np.object_
 
-    return output
-
 
 def test_x2sys_cross_input_two_dataframes(mock_x2sys_home):
     """
@@ -120,7 +114,7 @@ def test_x2sys_cross_input_two_dataframes(mock_x2sys_home):
             track["time"] = pd.date_range(start=f"2020-{i}1-01", periods=10, freq="ms")
             tracks.append(track)
 
-        output = x2sys_cross(tracks=tracks, tag=tag, coe="e", verbose="i")
+        output = x2sys_cross(tracks=tracks, tag=tag, coe="e")
 
         assert isinstance(output, pd.DataFrame)
         assert output.shape == (30, 12)
@@ -171,9 +165,7 @@ def test_x2sys_cross_input_two_filenames(mock_x2sys_home):
             ) as fname:
                 np.savetxt(fname=fname, X=np.random.rand(10, 3))
 
-        output = x2sys_cross(
-            tracks=["track_0.xyz", "track_1.xyz"], tag=tag, coe="e", verbose="i"
-        )
+        output = x2sys_cross(tracks=["track_0.xyz", "track_1.xyz"], tag=tag, coe="e")
 
         assert isinstance(output, pd.DataFrame)
         assert output.shape == (24, 12)
@@ -182,8 +174,6 @@ def test_x2sys_cross_input_two_filenames(mock_x2sys_home):
         assert columns[6:] == ["head_1", "head_2", "vel_1", "vel_2", "z_X", "z_M"]
         _ = [os.remove(f"track_{i}.xyz") for i in range(2)]  # cleanup track files
 
-    return output
-
 
 def test_x2sys_cross_invalid_tracks_input_type(tracks):
     """