Fixed database typo and removed unnecessary class identifier.

venv/Lib/site-packages/scipy/io/tests/test_paths.py

@@ -0,0 +1,94 @@
+"""
+Ensure that we can use pathlib.Path objects in all relevant IO functions.
+"""
+import sys
+from pathlib import Path
+
+import numpy as np
+
+import scipy.io
+import scipy.io.wavfile
+from scipy._lib._tmpdirs import tempdir
+import scipy.sparse
+
+
+class TestPaths:
+    data = np.arange(5).astype(np.int64)
+
+    def test_savemat(self):
+        with tempdir() as temp_dir:
+            path = Path(temp_dir) / 'data.mat'
+            scipy.io.savemat(path, {'data': self.data})
+            assert path.is_file()
+
+    def test_loadmat(self):
+        # Save data with string path, load with pathlib.Path
+        with tempdir() as temp_dir:
+            path = Path(temp_dir) / 'data.mat'
+            scipy.io.savemat(str(path), {'data': self.data})
+
+            mat_contents = scipy.io.loadmat(path)
+            assert (mat_contents['data'] == self.data).all()
+
+    def test_whosmat(self):
+        # Save data with string path, load with pathlib.Path
+        with tempdir() as temp_dir:
+            path = Path(temp_dir) / 'data.mat'
+            scipy.io.savemat(str(path), {'data': self.data})
+
+            contents = scipy.io.whosmat(path)
+            assert contents[0] == ('data', (1, 5), 'int64')
+
+    def test_readsav(self):
+        path = Path(__file__).parent / 'data/scalar_string.sav'
+        scipy.io.readsav(path)
+
+    def test_hb_read(self):
+        # Save data with string path, load with pathlib.Path
+        with tempdir() as temp_dir:
+            data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
+            path = Path(temp_dir) / 'data.hb'
+            scipy.io.harwell_boeing.hb_write(str(path), data)
+
+            data_new = scipy.io.harwell_boeing.hb_read(path)
+            assert (data_new != data).nnz == 0
+
+    def test_hb_write(self):
+        with tempdir() as temp_dir:
+            data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
+            path = Path(temp_dir) / 'data.hb'
+            scipy.io.harwell_boeing.hb_write(path, data)
+            assert path.is_file()
+
+    def test_mmio_read(self):
+        # Save data with string path, load with pathlib.Path
+        with tempdir() as temp_dir:
+            data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
+            path = Path(temp_dir) / 'data.mtx'
+            scipy.io.mmwrite(str(path), data)
+
+            data_new = scipy.io.mmread(path)
+            assert (data_new != data).nnz == 0
+
+    def test_mmio_write(self):
+        with tempdir() as temp_dir:
+            data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
+            path = Path(temp_dir) / 'data.mtx'
+            scipy.io.mmwrite(path, data)
+
+    def test_netcdf_file(self):
+        path = Path(__file__).parent / 'data/example_1.nc'
+        scipy.io.netcdf.netcdf_file(path)
+
+    def test_wavfile_read(self):
+        path = Path(__file__).parent / 'data/test-8000Hz-le-2ch-1byteu.wav'
+        scipy.io.wavfile.read(path)
+
+    def test_wavfile_write(self):
+        # Read from str path, write to Path
+        input_path = Path(__file__).parent / 'data/test-8000Hz-le-2ch-1byteu.wav'
+        rate, data = scipy.io.wavfile.read(str(input_path))
+
+        with tempdir() as temp_dir:
+            output_path = Path(temp_dir) / input_path.name
+            scipy.io.wavfile.write(output_path, rate, data)