refactor: replace os.path with pathlib

Drop legacy `from os import path` and `os.path.X` usages in favour of
`pathlib.Path`. Internal-only refactor; no public API changes.

Refs PyAutoLabs/PyAutoFit#1257.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: 2 people

autoarray/plot/output.py

@@ -1,6 +1,6 @@
 import logging
-from os import path
 import os
+from pathlib import Path
 from typing import Union, List, Optional
 
 from autoarray.structures.abstract_structure import Structure
@@ -100,7 +100,7 @@ def output_path_from(self, format):
             return None
 
         if self.format_folder:
-            output_path = path.join(self.path, format)
+            output_path = str(Path(self.path) / format)
         else:
             output_path = self.path
 
@@ -156,7 +156,7 @@ def savefig(self, filename: str, output_path: str, format: str):
 
         try:
             plt.savefig(
-                path.join(output_path, f"{filename}.{format}"),
+                str(Path(output_path) / f"{filename}.{format}"),
                 bbox_inches=self.bbox_inches,
                 pad_inches=0.1,
             )
@@ -257,9 +257,9 @@ def to_figure_output_mode(self, filename: str):
 
         import sys
 
-        script_name = path.split(sys.argv[0])[-1].replace(".py", "")
+        script_name = Path(sys.argv[0]).name.replace(".py", "")
 
-        output_path = path.join(os.getcwd(), "output_mode", script_name)
+        output_path = str(Path(os.getcwd()) / "output_mode" / script_name)
         os.makedirs(output_path, exist_ok=True)
 
         self.savefig(f"{COUNT}_{filename}", output_path, "png")

autoarray/plot/utils.py

@@ -4,6 +4,7 @@
 
 import logging
 import os
+from pathlib import Path
 from typing import List, Optional, Tuple
 
 import numpy as np
@@ -310,16 +311,16 @@ def _output_mode_save(fig, filename):
 
     import sys
 
-    script_name = os.path.splitext(os.path.basename(sys.argv[0]))[0]
-    output_path = os.path.join(os.getcwd(), "output_mode", script_name)
+    script_name = Path(sys.argv[0]).stem
+    output_path = str(Path(os.getcwd()) / "output_mode" / script_name)
     os.makedirs(output_path, exist_ok=True)
 
     count = getattr(_output_mode_save, "_count", -1) + 1
     _output_mode_save._count = count
 
     try:
         fig.savefig(
-            os.path.join(output_path, f"{count}_{filename}.png"),
+            str(Path(output_path) / f"{count}_{filename}.png"),
             dpi=150,
             bbox_inches="tight",
             pad_inches=0.1,
@@ -371,7 +372,7 @@ def subplot_save(fig, output_path, output_filename, output_format=None):
         os.makedirs(output_path, exist_ok=True)
         try:
             fig.savefig(
-                os.path.join(output_path, f"{output_filename}.{output_format}"),
+                str(Path(output_path) / f"{output_filename}.{output_format}"),
                 bbox_inches="tight",
                 pad_inches=0.1,
             )
@@ -552,7 +553,7 @@ def save_figure(
                 continue
             try:
                 fig.savefig(
-                    os.path.join(path, f"{filename}.{fmt}"),
+                    str(Path(path) / f"{filename}.{fmt}"),
                     dpi=dpi,
                     bbox_inches="tight",
                     pad_inches=0.1,

autoarray/util/dataset_util.py

@@ -1,5 +1,6 @@
 import os
 import shutil
+from pathlib import Path
 
 
 def should_simulate(dataset_path):
@@ -18,7 +19,7 @@ def should_simulate(dataset_path):
             subprocess.run([sys.executable, "scripts/.../simulator.py"], check=True)
     """
     if os.environ.get("PYAUTO_SMALL_DATASETS") == "1":
-        if os.path.exists(dataset_path):
+        if Path(dataset_path).exists():
             shutil.rmtree(dataset_path)
 
-    return not os.path.exists(dataset_path)
+    return not Path(dataset_path).exists()

docs/conf.py

@@ -10,11 +10,11 @@
 
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
+# documentation root, use Path(...).resolve() to make it absolute, like shown here.
 #
-# import os
 # import sys
-# sys.path.insert(0, os.path.abspath('.'))
+# from pathlib import Path
+# sys.path.insert(0, str(Path(".").resolve()))
 
 # -- Project information -----------------------------------------------------
 

test_autoarray/conftest.py

@@ -1,5 +1,5 @@
 import os
-from os import path
+from pathlib import Path
 import pytest
 from matplotlib import pyplot
 
@@ -12,7 +12,7 @@ def __init__(self):
         self.paths = []
 
     def __call__(self, path, *args, **kwargs):
-        self.paths.append(path)
+        self.paths.append(str(path))
 
 
 @pytest.fixture(name="plot_patch")
@@ -25,7 +25,7 @@ def make_plot_patch(monkeypatch):
     return plot_patch
 
 
-directory = path.dirname(path.realpath(__file__))
+directory = Path(__file__).resolve().parent
 
 
 @pytest.fixture(autouse=True, scope="session")
@@ -34,16 +34,16 @@ def remove_logs():
     for d, _, files in os.walk(directory):
         for file in files:
             if file.endswith(".log"):
-                os.remove(path.join(d, file))
+                os.remove(Path(d) / file)
 
 
 @pytest.fixture(autouse=True)
 def set_config_path(request):
     # if dirname(realpath(__file__)) in str(request.module):
 
     conf.instance.push(
-        new_path=path.join(directory, "config"),
-        output_path=path.join(directory, "output"),
+        new_path=str(directory / "config"),
+        output_path=str(directory / "output"),
     )
 
 

test_autoarray/dataset/imaging/test_dataset.py

@@ -1,6 +1,5 @@
 import copy
 import os
-from os import path
 
 import numpy as np
 import pytest
@@ -9,23 +8,16 @@
 import autoarray as aa
 
 from autoarray import exc
+from pathlib import Path
 
-test_data_path = path.join(
-    "{}".format(path.dirname(path.realpath(__file__))),
-    "files",
-)
+test_data_path = Path(Path(__file__).resolve().parent) / "files"
 
 
 @pytest.fixture(name="test_data_path")
 def make_test_data_path():
-    test_data_path = path.join(
-        "{}".format(os.path.dirname(os.path.realpath(__file__))),
-        "files",
-        "array",
-        "output_test",
-    )
+    test_data_path = Path(__file__).resolve().parent / "files" / "array" / "output_test"
 
-    if os.path.exists(test_data_path):
+    if test_data_path.exists():
         shutil.rmtree(test_data_path)
 
     os.makedirs(test_data_path)
@@ -132,9 +124,9 @@ def test__no_noise_map__raises_exception():
 def test__from_fits__separate_fits_files__loads_data_psf_noise_map_correctly():
     dataset = aa.Imaging.from_fits(
         pixel_scales=0.1,
-        data_path=path.join(test_data_path, "3x3_ones.fits"),
-        psf_path=path.join(test_data_path, "3x3_twos.fits"),
-        noise_map_path=path.join(test_data_path, "3x3_threes.fits"),
+        data_path=Path(test_data_path) / "3x3_ones.fits",
+        psf_path=Path(test_data_path) / "3x3_twos.fits",
+        noise_map_path=Path(test_data_path) / "3x3_threes.fits",
     )
 
     assert (dataset.data.native == np.ones((3, 3))).all()
@@ -151,11 +143,11 @@ def test__from_fits__separate_fits_files__loads_data_psf_noise_map_correctly():
 def test__from_fits__all_data_in_one_fits_file_multiple_hdus__loads_data_psf_noise_map_correctly():
     dataset = aa.Imaging.from_fits(
         pixel_scales=0.1,
-        data_path=path.join(test_data_path, "3x3_multiple_hdu.fits"),
+        data_path=Path(test_data_path) / "3x3_multiple_hdu.fits",
         data_hdu=0,
-        psf_path=path.join(test_data_path, "3x3_multiple_hdu.fits"),
+        psf_path=Path(test_data_path) / "3x3_multiple_hdu.fits",
         psf_hdu=1,
-        noise_map_path=path.join(test_data_path, "3x3_multiple_hdu.fits"),
+        noise_map_path=Path(test_data_path) / "3x3_multiple_hdu.fits",
         noise_map_hdu=2,
     )
 
@@ -178,17 +170,17 @@ def test__output_to_fits__round_trips_data_psf_noise_map_correctly(
 
     fits_imaging(
         dataset=imaging_7x7,
-        data_path=path.join(test_data_path, "data.fits"),
-        psf_path=path.join(test_data_path, "psf.fits"),
-        noise_map_path=path.join(test_data_path, "noise_map.fits"),
+        data_path=Path(test_data_path) / "data.fits",
+        psf_path=Path(test_data_path) / "psf.fits",
+        noise_map_path=Path(test_data_path) / "noise_map.fits",
         overwrite=True,
     )
 
     dataset = aa.Imaging.from_fits(
         pixel_scales=0.1,
-        data_path=path.join(test_data_path, "data.fits"),
-        psf_path=path.join(test_data_path, "psf.fits"),
-        noise_map_path=path.join(test_data_path, "noise_map.fits"),
+        data_path=Path(test_data_path) / "data.fits",
+        psf_path=Path(test_data_path) / "psf.fits",
+        noise_map_path=Path(test_data_path) / "noise_map.fits",
     )
 
     assert (dataset.data.native == np.ones((7, 7))).all()

test_autoarray/dataset/interferometer/test_dataset.py

@@ -1,17 +1,14 @@
 import numpy as np
 import os
-from os import path
 import shutil
 
 import autoarray as aa
 import pytest
 
 from autoarray.operators import transformer
+from pathlib import Path
 
-test_data_path = path.join(
-    "{}".format(path.dirname(path.realpath(__file__))),
-    "files",
-)
+test_data_path = Path(Path(__file__).resolve().parent) / "files"
 
 
 def test__dirty_image__shape_native_matches_real_space_mask(
@@ -70,11 +67,11 @@ def test__dirty_signal_to_noise_map__shape_native_matches_real_space_mask(
 def test__from_fits__all_files_in_one_fits__load_using_different_hdus(mask_2d_7x7):
     dataset = aa.Interferometer.from_fits(
         real_space_mask=mask_2d_7x7,
-        data_path=path.join(test_data_path, "3x2_multiple_hdu.fits"),
+        data_path=Path(test_data_path) / "3x2_multiple_hdu.fits",
         visibilities_hdu=0,
-        noise_map_path=path.join(test_data_path, "3x2_multiple_hdu.fits"),
+        noise_map_path=Path(test_data_path) / "3x2_multiple_hdu.fits",
         noise_map_hdu=1,
-        uv_wavelengths_path=path.join(test_data_path, "3x2_multiple_hdu.fits"),
+        uv_wavelengths_path=Path(test_data_path) / "3x2_multiple_hdu.fits",
         uv_wavelengths_hdu=2,
     )
 
@@ -85,26 +82,18 @@ def test__from_fits__all_files_in_one_fits__load_using_different_hdus(mask_2d_7x
 
 
 def test__output_all_arrays(mask_2d_7x7):
-    test_data_path = path.join(
-        "{}".format(path.dirname(path.realpath(__file__))),
-        "files",
-    )
+    test_data_path = Path(Path(__file__).resolve().parent) / "files"
 
     dataset = aa.Interferometer.from_fits(
         real_space_mask=mask_2d_7x7,
-        data_path=path.join(test_data_path, "3x2_ones_twos.fits"),
-        noise_map_path=path.join(test_data_path, "3x2_threes_fours.fits"),
-        uv_wavelengths_path=path.join(test_data_path, "3x2_fives_sixes.fits"),
+        data_path=Path(test_data_path) / "3x2_ones_twos.fits",
+        noise_map_path=Path(test_data_path) / "3x2_threes_fours.fits",
+        uv_wavelengths_path=Path(test_data_path) / "3x2_fives_sixes.fits",
     )
 
-    test_data_path = path.join(
-        "{}".format(path.dirname(path.realpath(__file__))),
-        "files",
-        "array",
-        "output_test",
-    )
+    test_data_path = Path(Path(__file__).resolve().parent) / "files" / "array" / "output_test"
 
-    if path.exists(test_data_path):
+    if Path(test_data_path).exists():
         shutil.rmtree(test_data_path)
 
     os.makedirs(test_data_path)
@@ -113,17 +102,17 @@ def test__output_all_arrays(mask_2d_7x7):
 
     fits_interferometer(
         dataset=dataset,
-        data_path=path.join(test_data_path, "data.fits"),
-        noise_map_path=path.join(test_data_path, "noise_map.fits"),
-        uv_wavelengths_path=path.join(test_data_path, "uv_wavelengths.fits"),
+        data_path=Path(test_data_path) / "data.fits",
+        noise_map_path=Path(test_data_path) / "noise_map.fits",
+        uv_wavelengths_path=Path(test_data_path) / "uv_wavelengths.fits",
         overwrite=True,
     )
 
     dataset = aa.Interferometer.from_fits(
         real_space_mask=mask_2d_7x7,
-        data_path=path.join(test_data_path, "data.fits"),
-        noise_map_path=path.join(test_data_path, "noise_map.fits"),
-        uv_wavelengths_path=path.join(test_data_path, "uv_wavelengths.fits"),
+        data_path=Path(test_data_path) / "data.fits",
+        noise_map_path=Path(test_data_path) / "noise_map.fits",
+        uv_wavelengths_path=Path(test_data_path) / "uv_wavelengths.fits",
     )
 
     assert (dataset.data == np.array([1.0 + 2.0j, 1.0 + 2.0j, 1.0 + 2.0j])).all()