CircArgs commented on a change in pull request #4016:
URL: https://github.com/apache/iceberg/pull/4016#discussion_r796627657
##########
File path: python/src/iceberg/types.py
##########
@@ -15,61 +15,84 @@
# specific language governing permissions and limitations
# under the License.
"""Data types used in describing Iceberg schemas
-
This module implements the data types described in the Iceberg specification
for Iceberg schemas. To
describe an Iceberg table schema, these classes can be used in the
construction of a StructType instance.
-
Example:
>>> StructType(
[
NestedField(True, 1, "required_field", StringType()),
NestedField(False, 2, "optional_field", IntegerType()),
]
)
-
Notes:
- https://iceberg.apache.org/#spec/#primitive-types
"""
-from typing import Optional
+from typing import Any, Dict, List, Optional, Tuple
-class Type:
- def __init__(self, type_string: str, repr_string: str, is_primitive=False):
- self._type_string = type_string
- self._repr_string = repr_string
- self._is_primitive = is_primitive
+class IcebergType:
+
+ _implemented: Dict[Tuple[str, Tuple[Any]], "IcebergType"] = {}
+
+ def __new__(cls, *args, **kwargs):
Review comment:
I ended up implementing `__new__` separately for all types that have
some parameters and once for those that do not as the decorator would still
have needed some resolving of arguments as it was in the single `__new__`
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