Add py12 support

pyproject.toml

@@ -21,7 +21,6 @@ license = { text = 'BSL-1.1' }
 requires-python = '>=3.8,<3.13'
 readme = 'README.md'
 dependencies = [
-<<<<<<< HEAD
     "numpy>=1.20.0;python_version<'3.10'",
     "numpy>=1.23.3;python_version>='3.10' and python_version<'3.12'",
     "numpy>=1.26.0;python_version>='3.12'",
@@ -36,22 +35,6 @@ dependencies = [
     "scikit-learn>=1.1.3;python_version>='3.11' and python_version<'3.12'",
     "scikit-learn>=1.3.0;python_version>='3.12'",
     'Faker>=17',
-=======
-    "numpy>=1.20.0,<2;python_version<'3.10'",
-    "numpy>=1.23.3,<2;python_version>='3.10' and python_version<'3.12'",
-    "numpy>=1.26.0,<2;python_version>='3.12'",
-    "pandas>=1.1.3;python_version<'3.10'",
-    "pandas>=1.3.4;python_version>='3.10' and python_version<'3.11'",
-    "pandas>=1.5.0;python_version>='3.11'",
-    "scipy>=1.5.4,<2;python_version<'3.10'",
-    "scipy>=1.9.2,<2;python_version>='3.10' and python_version<'3.12'",
-    "scipy>=1.12.0,<2;python_version>='3.12'",
-    "scikit-learn>=0.24,<2;python_version<'3.10'",
-    "scikit-learn>=1.1.0;python_version>='3.10' and python_version<'3.11'",
-    "scikit-learn>=1.1.3,<2;python_version>='3.11' and python_version<'3.12'",
-    "scikit-learn>=1.3.0,<2;python_version>='3.12'",
-    'Faker>=17,<20',
->>>>>>> a1624cd (Add py12 support)
 ]
 
 [project.urls]
@@ -65,7 +48,7 @@ dependencies = [
 rdt = { main = 'rdt.cli.__main__:main' }
 
 [project.optional-dependencies]
-copulas = ['copulas>=0.10.0',]
+copulas = ['copulas@git+https://[email protected]/sdv-dev/copulas.git',]
 test = [
     'rdt[copulas]',
 

rdt/transformers/categorical.py

@@ -6,7 +6,6 @@
 import numpy as np
 import pandas as pd
 from scipy.stats import norm
-from pandas.api.types import is_numeric_dtype
 
 from rdt.errors import TransformerInputError
 from rdt.transformers.base import BaseTransformer

tests/integration/transformers/test_categorical.py

@@ -474,6 +474,7 @@ def test_one_hot_categoricals():
 
     # Run
     transformed_data = transformer.fit_transform(test_data, column='A')
+
     # Assert
     pd.testing.assert_frame_equal(
         transformed_data,