Add Decimal workaround

crates/polars-core/src/datatypes/dtype.rs

@@ -53,9 +53,9 @@ pub enum DataType {
     Int64,
     Float32,
     Float64,
-    #[cfg(feature = "dtype-decimal")]
     /// Fixed point decimal type optional precision and non-negative scale.
     /// This is backed by a signed 128-bit integer which allows for up to 38 significant digits.
+    #[cfg(feature = "dtype-decimal")]
     Decimal(Option<usize>, Option<usize>), // precision/scale; scale being None means "infer"
     /// String data
     String,
@@ -76,14 +76,14 @@ pub enum DataType {
     Array(Box<DataType>, usize),
     /// A nested list with a variable size in each row
     List(Box<DataType>),
-    #[cfg(feature = "object")]
     /// A generic type that can be used in a `Series`
     /// &'static str can be used to determine/set inner type
+    #[cfg(feature = "object")]
     Object(&'static str, Option<Arc<ObjectRegistry>>),
     Null,
-    #[cfg(feature = "dtype-categorical")]
     // The RevMapping has the internal state.
     // This is ignored with comparisons, hashing etc.
+    #[cfg(feature = "dtype-categorical")]
     Categorical(Option<Arc<RevMapping>>, CategoricalOrdering),
     #[cfg(feature = "dtype-categorical")]
     Enum(Option<Arc<RevMapping>>, CategoricalOrdering),
@@ -140,6 +140,7 @@ impl PartialEq for DataType {
                     (UnknownKind::Int(_), UnknownKind::Int(_)) => true,
                     _ => l == r,
                 },
+                // TODO: Add Decimal equality
                 _ => std::mem::discriminant(self) == std::mem::discriminant(other),
             }
         }

crates/polars-core/src/series/any_value.rs

@@ -60,8 +60,17 @@ impl Series {
         let dtype = if strict {
             get_first_non_null_dtype(values)
         } else {
+            // Currently does not work correctly for Decimal because equality is not implemented.
             any_values_to_supertype(values)?
         };
+
+        // TODO: Remove this when Decimal data type equality is implemented.
+        #[cfg(feature = "dtype-decimal")]
+        if !strict && dtype.is_decimal() {
+            let dtype = DataType::Decimal(None, None);
+            return Self::from_any_values_and_dtype(name, values, &dtype, strict);
+        }
+
         Self::from_any_values_and_dtype(name, values, &dtype, strict)
     }
 

py-polars/src/series/construction.rs

@@ -264,9 +264,7 @@ impl PySeries {
 
     #[staticmethod]
     fn new_decimal(name: &str, values: &Bound<PyAny>, strict: bool) -> PyResult<Self> {
-        // Create a fake dtype with a placeholder "none" scale, to be inferred later.
-        let dtype = DataType::Decimal(None, None);
-        Self::new_from_any_values_and_dtype(name, values, Wrap(dtype), strict)
+        Self::new_from_any_values(name, values, strict)
     }
 
     #[staticmethod]