[pre-commit.ci] pre-commit autoupdate (#229)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.5.7 → v0.6.1](astral-sh/ruff-pre-commit@v0.5.7...v0.6.1)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Ruff ignore stata

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Richard Preen <rpreen@gmail.com>

.pre-commit-config.yaml

@@ -46,7 +46,7 @@ repos:
 
   # Ruff, the Python auto-correcting linter/formatter written in Rust
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.5.7
+    rev: v0.6.1
     hooks:
       - id: ruff
         args: ["--fix", "--show-fixes"]

notebooks/acro_demo.ipynb

@@ -14,9 +14,8 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import sys\n",
-    "import pandas as pd\n",
-    "import numpy as np"
+    "\n",
+    "import pandas as pd"
    ]
   },
   {
@@ -36,7 +35,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from acro import ACRO, add_constant, add_to_acro"
+    "from acro import ACRO"
    ]
   },
   {

notebooks/acro_demo_v2.ipynb

@@ -14,9 +14,9 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import sys\n",
-    "import pandas as pd\n",
-    "import numpy as np"
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd"
    ]
   },
   {
@@ -36,7 +36,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from acro import ACRO, add_constant, add_to_acro"
+    "from acro import ACRO"
    ]
   },
   {

notebooks/test-nursery.ipynb

@@ -24,9 +24,9 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import sys\n",
-    "import pandas as pd\n",
-    "import numpy as np"
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd"
    ]
   },
   {

notebooks/test.ipynb

@@ -19,8 +19,9 @@
    "source": [
     "import os\n",
     "import sys\n",
-    "import pandas as pd\n",
-    "import numpy as np"
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd"
    ]
   },
   {
@@ -47,7 +48,7 @@
    },
    "outputs": [],
    "source": [
-    "from acro import ACRO, acro_tables, add_constant, utils"
+    "from acro import ACRO, add_constant, utils"
    ]
   },
   {

pyproject.toml

@@ -45,6 +45,7 @@ lint.select = [
 
 exclude = [
   "__init__.py",
+  "stata/*",
 ]
 
 lint.ignore = [

stata/test_stata_acro_ado.ipynb

@@ -41,14 +41,14 @@
     }
    ],
    "source": [
-    "import acro\n",
-    "from acro import utils\n",
-    "from acro import stata_config\n",
-    "import pandas as pd\n",
-    "from acro import acro_stata_parser\n",
     "from importlib import reload\n",
+    "\n",
+    "import pandas as pd\n",
     "import pytest\n",
     "\n",
+    "import acro\n",
+    "from acro import acro_stata_parser, stata_config\n",
+    "\n",
     "reload(acro_stata_parser)"
    ]
   },
@@ -644,7 +644,7 @@
    "outputs": [],
    "source": [
     "def test_stata_exclusion_in_context(mydata):\n",
-    "    \"\"\"tests that the subsetting code gets called properly from table handler\"\"\"\n",
+    "    \"\"\"Tests that the subsetting code gets called properly from table handler\"\"\"\n",
     "    # if condition\n",
     "    correct1 = (\n",
     "        \"------------------|\\n\"\n",

test/test_initial.py

@@ -17,15 +17,15 @@
 PATH: str = "RES_PYTEST"
 
 
-@pytest.fixture()
+@pytest.fixture
 def data() -> pd.DataFrame:
     """Load test data."""
     path = os.path.join("data", "test_data.dta")
     data = pd.read_stata(path)
     return data
 
 
-@pytest.fixture()
+@pytest.fixture
 def acro() -> ACRO:
     """Initialise ACRO."""
     return ACRO(suppress=True)

test/test_stata17_interface.py

@@ -25,7 +25,7 @@
 #    return ACRO()
 
 
-@pytest.fixture()
+@pytest.fixture
 def data() -> pd.DataFrame:
     """Load test data."""
     path = os.path.join("data", "test_data.dta")

test/test_stata_interface.py

@@ -26,7 +26,7 @@
 #    return ACRO()
 
 
-@pytest.fixture()
+@pytest.fixture
 def data() -> pd.DataFrame:
     """Load test data."""
     path = os.path.join("data", "test_data.dta")