Linter configuration and fixes

doc/conf.py

@@ -99,7 +99,7 @@ def about_package(init_posixpath: pathlib.Path) -> dict:
 
 # Override link in 'Edit on Github'
 rst_prolog = f"""
-:github_url: {ABOUT_TFS['__url__']}
+:github_url: {ABOUT_TFS["__url__"]}
 """
 
 # The version info for the project you're documenting, acts as replacement for

pyproject.toml

@@ -86,9 +86,7 @@ repository = "https://github.com/pylhc/tfs"
 documentation = "https://pylhc.github.io/tfs/ "
 changelog = "https://github.com/pylhc/tfs/blob/master/CHANGELOG.md"
 
-
-[tool.ruff]
-target-version = "py310"  # Assume Python 3.10+
+# ----- Tests Configuration ----- #
 
 [tool.pytest.ini_options]
 addopts = "--cov-report=xml --cov-report term-missing --cov-config=pyproject.toml --cov=tfs"
@@ -98,4 +96,57 @@ testpaths = ["tests"]
 exclude_also = [
   "if TYPE_CHECKING:",  # do not count type checking imports (ignored at runtime) for coverage
   "except ImportError:",  # do not count missing optional dependencies set to None, we monkeypatch and test that
-]  
+]
+
+# ----- Dev Tools Configuration ----- #
+
+[tool.ruff]
+exclude = [
+  ".eggs",
+  ".git",
+  ".mypy_cache",
+  ".venv",
+  "_build",
+  "build",
+  "dist",
+]
+
+# Assume Python 3.10+
+target-version = "py310"
+
+line-length = 110
+indent-width = 4
+
+[tool.ruff.lint]
+# Allow unused variables when underscore-prefixed.
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
+ignore = [
+  "E501",  # line too long
+  "FBT001",  # boolean-type-hint-positional-argument
+  "FBT002",  # boolean-default-value-positional-argument
+  "PT019",  # pytest-fixture-param-without-value (but suggested solution fails)
+]
+extend-select = [
+    "F",        # Pyflakes rules
+    "W",        # PyCodeStyle warnings
+    "E",        # PyCodeStyle errors
+    "I",        # Sort imports properly
+    "A",        # Detect shadowed builtins
+    "N",        # enforce naming conventions, e.g. ClassName vs function_name
+    "UP",       # Warn if certain things can changed due to newer Python versions
+    "C4",       # Catch incorrect use of comprehensions, dict, list, etc
+    "FA",       # Enforce from __future__ import annotations
+    "FBT",      # detect boolean traps
+    "ISC",      # Good use of string concatenation
+    "BLE",      # disallow catch-all exceptions
+    "ICN",      # Use common import conventions
+    "RET",      # Good return practices
+    "SIM",      # Common simplification rules
+    "TID",      # Some good import practices
+    "TC",       # Enforce importing certain types in a TYPE_CHECKING block
+    "PTH",      # Use pathlib instead of os.path
+    "NPY",      # Some numpy-specific things
+]
+# Allow fix for all enabled rules (when `--fix`) is provided.
+fixable = ["ALL"]
+unfixable = []

tests/conftest.py

@@ -47,46 +47,50 @@ def _tfs_madng_file() -> pathlib.Path:
 
 @pytest.fixture
 def _pd_dataframe() -> pd.DataFrame:
+    rng = np.random.default_rng()
     return pd.DataFrame(
         index=range(3),
-        columns="a b c d e".split(),
-        data=np.random.rand(3, 5),
+        columns=["a", "b", "c", "d", "e"],
+        data=rng.random(size=(3, 5)),
     )
 
 
 @pytest.fixture
 def _tfs_dataframe() -> TfsDataFrame:
+    rng = np.random.default_rng()
     return TfsDataFrame(
         index=range(15),
-        columns="a b c d e".split(),
-        data=np.random.rand(15, 5),
+        columns=["a", "b", "c", "d", "e"],
+        data=rng.random(size=(15, 5)),
         headers={"Title": "Tfs Title", "Value": 3.3663},
     )
 
 
 @pytest.fixture
 def _tfs_dataframe_booleans() -> TfsDataFrame:
     """TfsDataFrame with boolean values in the headers and data (1 column)."""
+    rng = np.random.default_rng()
     df = TfsDataFrame(
         index=range(15),
-        columns="a b c d e".split(),
-        data=np.random.rand(15, 5),
+        columns=["a", "b", "c", "d", "e"],
+        data=rng.random(size=(15, 5)),
         headers={"Title": "Bool Test", "Bool1": True, "Bool2": False, "Bool3": 1},
     )
-    df["bools"] = np.random.rand(15) > 0.5  # random from 0 to 1 and then boolean check
+    df["bools"] = rng.random(15) > 0.5  # random from 0 to 1 and then boolean check
     return df
 
 
 @pytest.fixture
 def _tfs_dataframe_complex() -> TfsDataFrame:
     """TfsDataFrame with complex values in the headers and data (1 column)."""
+    rng = np.random.default_rng()
     df = TfsDataFrame(
         index=range(15),
-        columns="a b c d e".split(),
-        data=np.random.rand(15, 5),
+        columns=["a", "b", "c", "d", "e"],
+        data=rng.random(size=(15, 5)),
         headers={"Title": "Complex Test", "Complex1": 1 + 2j, "Complex2": -4 - 17.9j},
     )
-    df["complex"] = np.random.rand(15) + np.random.rand(15) * 1j
+    df["complex"] = rng.random(15) + rng.random(15) * 1j
     return df
 
 
@@ -96,10 +100,11 @@ def _tfs_dataframe_madng() -> TfsDataFrame:
     TfsDataFrame with both booleans and complex
     values in the headers and data (1 column each).
     """
+    rng = np.random.default_rng()
     df = TfsDataFrame(
         index=range(15),
-        columns="a b c d e".split(),
-        data=np.random.rand(15, 5),
+        columns=["a", "b", "c", "d", "e"],
+        data=rng.random(size=(15, 5)),
         headers={
             "Title": "MADNG Test",
             "Bool1": True,
@@ -109,6 +114,6 @@ def _tfs_dataframe_madng() -> TfsDataFrame:
             "Complex2": -94.6 - 67.9j,
         },
     )
-    df["bools"] = np.random.rand(15) > 0.5  # random from 0 to 1 and then boolean check
-    df["complex"] = np.random.rand(15) + np.random.rand(15) * 1j
+    df["bools"] = rng.random(15) > 0.5  # random from 0 to 1 and then boolean check
+    df["complex"] = rng.random(15) + rng.random(15) * 1j
     return df

tests/test_collection.py

@@ -21,7 +21,6 @@ def _get_filename(self, template, plane=""):
 
 
 class TestRead:
-
     def test_read_pathlib_input(
         self, _input_dir_pathlib: pathlib.Path, _tfs_x: TfsDataFrame, _tfs_y: TfsDataFrame
     ):
@@ -48,13 +47,13 @@ def test_read_str_input(self, _input_dir_str: str, _tfs_x: TfsDataFrame, _tfs_y:
 
 
 class TestWrite:
-
     def test_write(self, _tfs_x: TfsDataFrame, _tfs_y: TfsDataFrame, tmp_path):
         c = CollectionTest(tmp_path)
         file_x_path = tmp_path / "nofile_x.tfs"
         assert not file_x_path.is_file()
 
-        c.nofile_x = _tfs_y  # only assigns dataframe without writing (use _tfs_y so that we can set _tfs_x below)
+        # only assigns dataframe without writing (use _tfs_y so that we can set _tfs_x below)
+        c.nofile_x = _tfs_y
         assert not file_x_path.is_file()
         assert_tfs_frame_equal(_tfs_y, c.nofile_x)
 
@@ -130,7 +129,9 @@ def test_buffer_flush(self, _input_dir_str: str, _tfs_x: TfsDataFrame, _tfs_y: T
         assert tfs_x_after_flush.loc["BPMSX.4L2.B1", "NUMBER"] == -199
         assert tfs_y_after_flush.loc["BPMSX.4L2.B1", "NUMBER"] == -19
 
-    def test_buffer_flush_nowrite(self, _input_dir_str: str, _tfs_x: TfsDataFrame, _tfs_y: TfsDataFrame, tmp_path):
+    def test_buffer_flush_nowrite(
+        self, _input_dir_str: str, _tfs_x: TfsDataFrame, _tfs_y: TfsDataFrame, tmp_path
+    ):
         c = CollectionTest(tmp_path, allow_write=True)
 
         c.file_x = _tfs_x.copy()
@@ -155,7 +156,6 @@ def test_buffer_flush_nowrite(self, _input_dir_str: str, _tfs_x: TfsDataFrame, _
 
 
 class TestFilenames:
-
     def test_tfscollection_getfilename_not_implemented(self):
         with pytest.raises(NotImplementedError):
             TfsCollection._get_filename("doesnt matter")  # noqa: SLF001
@@ -206,7 +206,6 @@ def test_get_path(self, _input_dir_pathlib: pathlib.Path):
 
 
 class TestOther:
-
     def test_access_methods(self, _input_dir_pathlib: pathlib.Path):
         c = CollectionTest(_input_dir_pathlib, allow_write=False)
 

tests/test_compression.py

@@ -12,7 +12,8 @@
 
 from .conftest import INPUTS_DIR
 
-SUPPORTED_EXTENSIONS: tuple[str] = ["gz", "bz2", "zip", "xz", "zst", "tar", "tar.gz"]  # through pandas
+# Compression extensions supported through pandas
+SUPPORTED_EXTENSIONS: tuple[str] = ("gz", "bz2", "zip", "xz", "zst", "tar", "tar.gz")
 
 # ----- Compression tests with 'classic' TFS files (no MAD-NG features) ----- #
 

tests/test_frame.py

@@ -117,7 +117,16 @@ def test_header_print(self):
             assert str(val) in print_out
 
     def test_long_headers_print(self):
-        headers = {"p1": 1, "p2": "hello", "p3": 3, "p4": 4, "p5": 5, "p6": 6, "p7": "string", "p8": "long"}
+        headers = {
+            "p1": 1,
+            "p2": "hello",
+            "p3": 3,
+            "p4": 4,
+            "p5": 5,
+            "p6": 6,
+            "p7": "string",
+            "p8": "long",
+        }
         df = TfsDataFrame(headers=headers)
         print_out = str(df)
         assert "Headers" in print_out

tests/test_reader.py

@@ -71,7 +71,9 @@ def test_tfs_read_write_read_pathlib_input(self, _tfs_filex: pathlib.Path, tmp_p
 
     def test_read_write_wise_header(self, _tfs_file_wise, tmp_path):
         original_text = _tfs_file_wise.read_text()
-        original_header_lines = [line for line in original_text.splitlines() if line.strip().startswith(HEADER)]
+        original_header_lines = [
+            line for line in original_text.splitlines() if line.strip().startswith(HEADER)
+        ]
         df = read_tfs(_tfs_file_wise)
 
         assert len(df.headers) == len(original_header_lines)
@@ -111,7 +113,9 @@ def test_read_file_with_empty_lines_in_header(self, _tfs_file_empty_lines, _tfs_
         df_for_compare = read_tfs(_tfs_filex)
         assert_tfs_frame_equal(df, df_for_compare)
 
-    def test_read_file_single_header_empty_line_in_header(self, _tfs_file_single_header_empty_line, _tfs_filex):
+    def test_read_file_single_header_empty_line_in_header(
+        self, _tfs_file_single_header_empty_line, _tfs_filex
+    ):
         """Very special, but this was a case that failed in the past."""
         df = read_tfs(_tfs_file_single_header_empty_line)
         assert len(df.headers) == 1

tests/test_testing.py

@@ -5,7 +5,6 @@
 
 
 class TestAssertTfsDataFrameEqual:
-
     def test_no_headers_equal(self):
         df1 = TfsDataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
         assert_tfs_frame_equal(df1, df1)  # we expect True

tests/test_validation.py

@@ -74,7 +74,9 @@ def test_validate_raises_on_wrong_unique_behavior(self, validation_mode):
             validate(df, "", non_unique_behavior="invalid", compatibility=validation_mode)
 
     @pytest.mark.parametrize("validation_mode", ["madx", "mad-x", "madng", "MAD-NG"])
-    def test_validation_raises_space_in_colname(self, _space_in_colnames_tfs_path: pathlib.Path, validation_mode):
+    def test_validation_raises_space_in_colname(
+        self, _space_in_colnames_tfs_path: pathlib.Path, validation_mode
+    ):
         # Read file has a space in a column name which should raise
         with pytest.raises(SpaceinColumnNameError, match="TFS-Columns can not contain spaces."):
             _ = read_tfs(_space_in_colnames_tfs_path, index="NAME", validate=validation_mode)
@@ -124,22 +126,26 @@ class TestMADXFailures:
     def test_madx_validation_raises_if_no_headers(self, _pd_dataframe, validation_mode):
         """MAD-X expects at least a 'TYPE' header. If there are no headers, we raise."""
         df = _pd_dataframe
-        with pytest.raises(MADXCompatibilityError, match="Headers should be present in MAD-X compatibility mode"):
+        with pytest.raises(
+            MADXCompatibilityError, match="Headers should be present in MAD-X compatibility mode"
+        ):
             validate(df, compatibility=validation_mode)
 
     @pytest.mark.parametrize("validation_mode", ["madx", "mad-x", "mAd-X"])
     def test_madx_validation_raises_on_boolean_headers(self, _tfs_booleans_file, validation_mode):
         df = read_tfs(_tfs_booleans_file)
         with pytest.raises(
-            MADXCompatibilityError, match="TFS-Headers can not contain boolean values in MAD-X compatibility mode"
+            MADXCompatibilityError,
+            match="TFS-Headers can not contain boolean values in MAD-X compatibility mode",
         ):
             validate(df, compatibility=validation_mode)
 
     @pytest.mark.parametrize("validation_mode", ["madx", "mad-x", "mAd-X"])
     def test_madx_validation_raises_on_complex_headers(self, _tfs_complex_file, validation_mode):
         df = read_tfs(_tfs_complex_file)
         with pytest.raises(
-            MADXCompatibilityError, match="TFS-Headers can not contain complex values in MAD-X compatibility mode"
+            MADXCompatibilityError,
+            match="TFS-Headers can not contain complex values in MAD-X compatibility mode",
         ):
             validate(df, compatibility=validation_mode)
 
@@ -148,7 +154,8 @@ def test_madx_validation_raises_on_none_headers(self, _tfs_dataframe, validation
         df = _tfs_dataframe
         df.headers["NONEVALUE"] = None
         with pytest.raises(
-            MADXCompatibilityError, match="TFS-Headers can not contain 'None' values in MAD-X compatibility mode"
+            MADXCompatibilityError,
+            match="TFS-Headers can not contain 'None' values in MAD-X compatibility mode",
         ):
             validate(df, compatibility=validation_mode)