Check if a module outputs to a temporary file using "Path().stat().st_size > 0"

pygmt/tests/test_binstats.py

@@ -1,7 +1,7 @@
 """
 Tests for binstats.
 """
-import os
+from pathlib import Path
 
 import numpy.testing as npt
 from pygmt import binstats
@@ -23,7 +23,7 @@ def test_binstats_outgrid():
             region="g",
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
 
 
 def test_binstats_no_outgrid():

pygmt/tests/test_blockm.py

@@ -1,7 +1,7 @@
 """
 Tests for blockmean and blockmode.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import numpy.testing as npt
@@ -85,7 +85,7 @@ def test_blockmean_input_filename():
             outfile=tmpfile.name,
         )
         assert output is None  # check that output is None since outfile is set
-        assert os.path.exists(path=tmpfile.name)  # check that outfile exists at path
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
         output = pd.read_csv(tmpfile.name, sep="\t", header=None)
         assert output.shape == (5849, 3)
         npt.assert_allclose(output.iloc[0], [245.888877, 29.978707, -384.0])

pygmt/tests/test_blockmedian.py

@@ -1,7 +1,7 @@
 """
 Tests for blockmedian.
 """
-import os
+from pathlib import Path
 
 import numpy.testing as npt
 import pandas as pd
@@ -82,7 +82,7 @@ def test_blockmedian_input_filename():
             outfile=tmpfile.name,
         )
         assert output is None  # check that output is None since outfile is set
-        assert os.path.exists(path=tmpfile.name)  # check that outfile exists at path
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
         output = pd.read_csv(tmpfile.name, sep="\t", header=None)
         assert output.shape == (5849, 3)
         npt.assert_allclose(output.iloc[0], [245.88819, 29.97895, -385.0])

pygmt/tests/test_clib.py

@@ -6,6 +6,7 @@
 import os
 from contextlib import contextmanager
 from itertools import product
+from pathlib import Path
 
 import numpy as np
 import numpy.testing as npt
@@ -159,7 +160,7 @@ def test_call_module():
     with clib.Session() as lib:
         with GMTTempFile() as out_fname:
             lib.call_module("info", f"{data_fname} -C ->{out_fname.name}")
-            assert os.path.exists(out_fname.name)
+            assert Path(out_fname.name).stat().st_size > 0
             output = out_fname.read().strip()
             assert output == "11.5309 61.7074 -2.9289 7.8648 0.1412 0.9338"
 

pygmt/tests/test_dimfilter.py

@@ -1,7 +1,7 @@
 """
 Tests for dimfilter.
 """
-import os
+from pathlib import Path
 
 import pytest
 import xarray as xr
@@ -54,7 +54,7 @@ def test_dimfilter_outgrid(grid, expected_grid):
             region=[-55, -51, -24, -19],
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 

pygmt/tests/test_figure.py

@@ -4,6 +4,7 @@
 Doesn't include the plotting commands which have their own test files.
 """
 import os
+from pathlib import Path
 
 try:
     import IPython
@@ -151,7 +152,7 @@ def test_figure_savefig_filename_with_spaces():
     with GMTTempFile(prefix="pygmt-filename with spaces", suffix=".png") as imgfile:
         fig.savefig(fname=imgfile.name)
         assert r"\040" not in os.path.abspath(imgfile.name)
-        assert os.path.exists(imgfile.name)
+        assert Path(imgfile.name).stat().st_size > 0
 
 
 def test_figure_savefig():

pygmt/tests/test_filter1d.py

@@ -1,8 +1,7 @@
 """
 Tests for filter1d.
 """
-
-import os
+from pathlib import Path
 
 import numpy as np
 import pandas as pd
@@ -38,7 +37,7 @@ def test_filter1d_file_output(data):
             data=data, filter_type="g5", outfile=tmpfile.name, output_type="file"
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outfile exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
 
 
 def test_filter1d_invalid_format(data):
@@ -77,7 +76,7 @@ def test_filter1d_outfile_incorrect_output_type(data):
                 data=data, filter_type="g5", outfile=tmpfile.name, output_type="numpy"
             )
             assert result is None  # return value is None
-            assert os.path.exists(path=tmpfile.name)  # check that outfile exists
+            assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
 
 
 def test_filter1d_format(data):

pygmt/tests/test_grd2xyz.py

@@ -1,7 +1,7 @@
 """
 Tests for grd2xyz.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import pandas as pd
@@ -57,7 +57,7 @@ def test_grd2xyz_file_output(grid):
     with GMTTempFile(suffix=".xyz") as tmpfile:
         result = grd2xyz(grid=grid, outfile=tmpfile.name, output_type="file")
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outfile exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
 
 
 def test_grd2xyz_invalid_format(grid):
@@ -85,7 +85,7 @@ def test_grd2xyz_outfile_incorrect_output_type(grid):
         with GMTTempFile(suffix=".xyz") as tmpfile:
             result = grd2xyz(grid=grid, outfile=tmpfile.name, output_type="numpy")
             assert result is None  # return value is None
-            assert os.path.exists(path=tmpfile.name)  # check that outfile exists
+            assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
 
 
 def test_grd2xyz_pandas_output_with_o(grid):

pygmt/tests/test_grdclip.py

@@ -1,7 +1,7 @@
 """
 Tests for grdclip.
 """
-import os
+from pathlib import Path
 
 import pytest
 import xarray as xr
@@ -47,7 +47,7 @@ def test_grdclip_outgrid(grid, expected_grid):
             region=[-53, -49, -19, -16],
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         assert temp_grid.dims == ("lat", "lon")
         assert temp_grid.gmt.gtype == 1  # Geographic grid

pygmt/tests/test_grdfill.py

@@ -1,7 +1,7 @@
 """
 Tests for grdfill.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import pytest
@@ -115,7 +115,7 @@ def test_grdfill_file_out(grid, expected_grid):
     with GMTTempFile(suffix=".nc") as tmpfile:
         result = grdfill(grid=grid, mode="c20", outgrid=tmpfile.name)
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 

pygmt/tests/test_grdfilter.py

@@ -1,7 +1,7 @@
 """
 Tests for grdfilter.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import pytest
@@ -67,7 +67,7 @@ def test_grdfilter_dataarray_in_file_out(grid, expected_grid):
             region=[-53, -49, -20, -17],
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 

pygmt/tests/test_grdgradient.py

@@ -1,7 +1,7 @@
 """
 Tests for grdgradient.
 """
-import os
+from pathlib import Path
 
 import pytest
 import xarray as xr
@@ -48,7 +48,7 @@ def test_grdgradient_outgrid(grid, expected_grid):
             grid=grid, outgrid=tmpfile.name, azimuth=10, region=[-53, -49, -20, -17]
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 

pygmt/tests/test_grdhisteq.py

@@ -1,7 +1,7 @@
 """
 Tests for grdhisteq.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import pandas as pd
@@ -61,7 +61,7 @@ def test_equalize_grid_outgrid_file(grid, expected_grid, region):
             grid=grid, divisions=2, region=region, outgrid=tmpfile.name
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 
@@ -112,7 +112,7 @@ def test_compute_bins_outfile(grid, expected_df, region):
             )
             assert len(record) == 1  # check that only one warning was raised
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)
+        assert Path(tmpfile.name).stat().st_size > 0
         temp_df = pd.read_csv(
             filepath_or_buffer=tmpfile.name,
             sep="\t",

pygmt/tests/test_grdlandmask.py

@@ -1,7 +1,7 @@
 """
 Tests for grdlandmask.
 """
-import os
+from pathlib import Path
 
 import pytest
 import xarray as xr
@@ -39,7 +39,7 @@ def test_grdlandmask_outgrid(expected_grid):
     with GMTTempFile(suffix=".nc") as tmpfile:
         result = grdlandmask(outgrid=tmpfile.name, spacing=1, region=[125, 130, 30, 35])
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 

pygmt/tests/test_grdproject.py

@@ -1,7 +1,7 @@
 """
 Tests for grdproject.
 """
-import os
+from pathlib import Path
 
 import pytest
 import xarray as xr
@@ -53,7 +53,7 @@ def test_grdproject_file_out(grid, expected_grid):
             region=[-53, -51, -20, -17],
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 

pygmt/tests/test_grdsample.py

@@ -1,7 +1,7 @@
 """
 Tests for grdsample.
 """
-import os
+from pathlib import Path
 
 import pytest
 import xarray as xr
@@ -64,7 +64,7 @@ def test_grdsample_file_out(grid, expected_grid, region, spacing):
             grid=grid, outgrid=tmpfile.name, spacing=spacing, region=region
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         temp_grid = load_dataarray(tmpfile.name)
         xr.testing.assert_allclose(a=temp_grid, b=expected_grid)
 

pygmt/tests/test_grdtrack.py

@@ -2,6 +2,7 @@
 Tests for grdtrack.
 """
 import os
+from pathlib import Path
 
 import numpy as np
 import numpy.testing as npt
@@ -72,7 +73,7 @@ def test_grdtrack_input_csvfile_and_dataarray(dataarray, expected_array):
     with GMTTempFile() as tmpfile:
         output = grdtrack(points=POINTS_DATA, grid=dataarray, outfile=tmpfile.name)
         assert output is None  # check that output is None since outfile is set
-        assert os.path.exists(path=tmpfile.name)  # check that outfile exists at path
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
         output = np.loadtxt(tmpfile.name)
         npt.assert_allclose(np.array(output), expected_array)
 

pygmt/tests/test_grdvolume.py

@@ -1,7 +1,7 @@
 """
 Tests for grdvolume.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import numpy.testing as npt
@@ -98,4 +98,4 @@ def test_grdvolume_outgrid(grid, region):
             region=region,
         )
         assert result is None  # return value is None
-        assert os.path.exists(path=tmpfile.name)  # check that outfile exists
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists

pygmt/tests/test_makecpt.py

@@ -2,6 +2,7 @@
 Tests for makecpt.
 """
 import os
+from pathlib import Path
 
 import numpy as np
 import pytest
@@ -76,7 +77,7 @@ def test_makecpt_output_cpt_file():
     """
     with GMTTempFile(suffix=".cpt") as cptfile:
         makecpt(output=cptfile.name)
-        assert os.path.exists(cptfile.name)
+        assert Path(cptfile.name).stat().st_size > 0
 
 
 def test_makecpt_blank_output():

pygmt/tests/test_nearneighbor.py

@@ -1,7 +1,7 @@
 """
 Tests for nearneighbor.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import numpy.testing as npt
@@ -79,7 +79,7 @@ def test_nearneighbor_with_outgrid_param(ship_data):
             search_radius="10m",
         )
         assert output is None  # check that output is None since outgrid is set
-        assert os.path.exists(path=tmpfile.name)  # check that outgrid exists at path
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outgrid exists
         with xr.open_dataarray(tmpfile.name) as grid:
             assert isinstance(grid, xr.DataArray)  # ensure netcdf grid loads ok
             assert grid.shape == (121, 121)

pygmt/tests/test_project.py

@@ -1,7 +1,7 @@
 """
 Tests for project.
 """
-import os
+from pathlib import Path
 
 import numpy as np
 import numpy.testing as npt
@@ -64,7 +64,7 @@ def test_project_output_filename(dataframe):
             outfile=tmpfile.name,
         )
         assert output is None  # check that output is None since outfile is set
-        assert os.path.exists(path=tmpfile.name)  # check that outfile exists at path
+        assert Path(tmpfile.name).stat().st_size > 0  # check that outfile exists
         output = pd.read_csv(tmpfile.name, sep="\t", header=None)
         assert output.shape == (1, 6)
         npt.assert_allclose(