fix: try to make generic

docarray/array/any_array.py

@@ -16,7 +16,6 @@
  Union,
  cast,
  overload,
- Tuple,
 )
 
 import numpy as np
@@ -103,17 +102,18 @@ def _setter(self, value):
 
  # # The global scope and qualname need to refer to this class a unique name.
  # # Otherwise, creating another _DocArrayTyped will overwrite this one.
- change_cls_name(
- _DocArrayTyped, f'{cls.__name__}', globals()
- )
-
- if sys.version_info < (3, 12):
- cls.__typed_da__[cls][item] = Generic.__class_getitem__.__func__(_DocArrayTyped, item) # type: ignore
- # this do nothing that checking that item is valid type var or str
- # Keep the approach in #1147 to be compatible with lower versions of Python.
+ if not is_pydantic_v2:
+ change_cls_name(_DocArrayTyped, f'{cls.__name__}[{item}]', globals())
+ cls.__typed_da__[cls][item] = _DocArrayTyped
  else:
- cls.__typed_da__[cls][item] = GenericAlias(_DocArrayTyped, item) # type: ignore
-
+ if sys.version_info < (3, 12):
+ cls.__typed_da__[cls][item] = Generic.__class_getitem__.__func__(
+ _DocArrayTyped, item
+ ) # type: ignore
+ # this do nothing that checking that item is valid type var or str
+ # Keep the approach in #1147 to be compatible with lower versions of Python.
+ else:
+ cls.__typed_da__[cls][item] = GenericAlias(_DocArrayTyped, item) # type: ignore
  return cls.__typed_da__[cls][item]
 
  @overload