perf(datasets): lazily load datasets in init files (biosequence)

Signed-off-by: Deepyaman Datta <[email protected]>

kedro-datasets/kedro_datasets/api/__init__.py

@@ -2,7 +2,6 @@
 and returns them into either as string or json Dict.
 It uses the python requests library: https://requests.readthedocs.io/en/latest/
 """
-
 from typing import Any
 
 import lazy_loader as lazy

kedro-datasets/kedro_datasets/biosequence/__init__.py

@@ -1,8 +1,11 @@
 """``AbstractDataSet`` implementation to read/write from/to a sequence file."""
+from typing import Any
 
-__all__ = ["BioSequenceDataSet"]
+import lazy_loader as lazy
 
-from contextlib import suppress
+# https://github.com/pylint-dev/pylint/issues/4300#issuecomment-1043601901
+BioSequenceDataSet: Any
 
-with suppress(ImportError):
-    from .biosequence_dataset import BioSequenceDataSet
+__getattr__, __dir__, __all__ = lazy.attach(
+    __name__, submod_attrs={"biosequence_dataset": ["BiosequenceDataSet"]}
+)

kedro-datasets/kedro_datasets/pandas/__init__.py

@@ -1,5 +1,4 @@
 """``AbstractDataSet`` implementations that produce pandas DataFrames."""
-
 from typing import Any
 
 import lazy_loader as lazy
@@ -19,7 +18,6 @@
 SQLTableDataSet: Any
 XMLDataSet: Any
 
-
 __getattr__, __dir__, __all__ = lazy.attach(
     __name__,
     submod_attrs={