implement anyvalue -> datatype for all variants (#3340)

polars/Makefile

@@ -41,7 +41,7 @@ test:
 	    --test-threads=2
 
 integration-tests:
-	cargo t --all-features --test it
+	cargo t --all-features --test it -- --test-threads=2
 
 miri:
 	# not tested on all features because miri does not support SIMD

polars/polars-core/src/chunked_array/object/mod.rs

@@ -26,9 +26,7 @@ where
 
 /// Trimmed down object safe polars object
 pub trait PolarsObjectSafe: Any + Debug + Send + Sync + Display {
-    fn type_name(&self) -> &'static str
-    where
-        Self: Sized;
+    fn type_name(&self) -> &'static str;
 }
 
 /// Values need to implement this so that they can be stored into a Series and DataFrame

polars/polars-core/src/frame/row.rs

@@ -302,7 +302,16 @@ impl<'a> From<&AnyValue<'a>> for DataType {
             StructOwned(payload) => DataType::Struct(payload.1.to_vec()),
             #[cfg(feature = "dtype-struct")]
             Struct(_, fields) => DataType::Struct(fields.to_vec()),
-            av => panic!("{:?} not implemented", av),
+            #[cfg(feature = "dtype-duration")]
+            Duration(_, tu) => DataType::Duration(*tu),
+            UInt8(_) => DataType::UInt8,
+            UInt16(_) => DataType::UInt16,
+            Int8(_) => DataType::Int8,
+            Int16(_) => DataType::Int16,
+            #[cfg(feature = "dtype-categorical")]
+            Categorical(_, _) => DataType::Categorical(None),
+            #[cfg(feature = "object")]
+            Object(o) => DataType::Object(o.type_name()),
         }
     }
 }

py-polars/tests/test_datelike.py

@@ -873,3 +873,21 @@ def test_datetime_strptime_patterns() -> None:
     )["parsed"]
     assert s.null_count() == 1
     assert s[0] is None
+
+
+def test_timedelta_from() -> None:
+    as_dict = {
+        "A": [1, 2],
+        "B": [timedelta(seconds=4633), timedelta(seconds=50)],
+    }
+    as_rows = [
+        {
+            "A": 1,
+            "B": timedelta(seconds=4633),
+        },
+        {
+            "A": 2,
+            "B": timedelta(seconds=50),
+        },
+    ]
+    assert pl.DataFrame(as_dict).frame_equal(pl.DataFrame(as_rows))