Remove unused typing ignore comments

Author: dstansby

pyproject.toml

@@ -152,6 +152,11 @@ python_version = "3.8"
 ignore_missing_imports = true
 follow_imports = "silent"
 
+warn_unused_configs = true
+warn_redundant_casts = true
+warn_unused_ignores = true
+
+
 [tool.pytest.ini_options]
 doctest_optionflags = [
     "NORMALIZE_WHITESPACE",

src/zarr/_storage/store.py

@@ -642,10 +642,10 @@ def _rmdir_from_keys_v3(store: StoreV3, path: str = "") -> None:
     sfx = _get_metadata_suffix(store)
     array_meta_file = meta_dir + ".array" + sfx
     if array_meta_file in store:
-        store.erase(array_meta_file)  # type: ignore
+        store.erase(array_meta_file)
     group_meta_file = meta_dir + ".group" + sfx
     if group_meta_file in store:
-        store.erase(group_meta_file)  # type: ignore
+        store.erase(group_meta_file)
 
 
 def _listdir_from_keys(store: BaseStore, path: Optional[str] = None) -> List[str]:

src/zarr/_storage/v3_storage_transformers.py

@@ -367,7 +367,7 @@ def erase_prefix(self, prefix):
 
     def rmdir(self, path=None):
         path = normalize_storage_path(path)
-        _rmdir_from_keys_v3(self, path)  # type: ignore
+        _rmdir_from_keys_v3(self, path)
 
     def __contains__(self, key):
         if self._is_data_key(key):

src/zarr/meta.py

@@ -234,8 +234,8 @@ def decode_fill_value(cls, v: Any, dtype: np.dtype, object_codec: Any = None) ->
                 return np.array(v, dtype=dtype)[()]
         elif dtype.kind in "c":
             v = (
-                cls.decode_fill_value(v[0], dtype.type().real.dtype),  # type: ignore
-                cls.decode_fill_value(v[1], dtype.type().imag.dtype),  # type: ignore
+                cls.decode_fill_value(v[0], dtype.type().real.dtype),
+                cls.decode_fill_value(v[1], dtype.type().imag.dtype),
             )
             v = v[0] + 1j * v[1]
             return np.array(v, dtype=dtype)[()]

src/zarr/storage.py

@@ -205,7 +205,7 @@ def rmdir(store: StoreLike, path: Path = None):
     store_version = getattr(store, "_store_version", 2)
     if hasattr(store, "rmdir") and store.is_erasable():  # type: ignore
         # pass through
-        store.rmdir(path)  # type: ignore
+        store.rmdir(path)
     else:
         # slow version, delete one key at a time
         if store_version == 2:
@@ -235,7 +235,7 @@ def listdir(store: BaseStore, path: Path = None):
     path = normalize_storage_path(path)
     if hasattr(store, "listdir"):
         # pass through
-        return store.listdir(path)  # type: ignore
+        return store.listdir(path)
     else:
         # slow version, iterate through all keys
         warnings.warn(
@@ -288,7 +288,7 @@ def getsize(store: BaseStore, path: Path = None) -> int:
     if hasattr(store, "getsize"):
         # pass through
         path = normalize_storage_path(path)
-        return store.getsize(path)  # type: ignore
+        return store.getsize(path)
     elif isinstance(store, MutableMapping):
         return _getsize(store, path)
     else:
@@ -626,7 +626,7 @@ def _init_array_metadata(
 
     key = _prefix_to_array_key(store, _path_to_prefix(path))
     if hasattr(store, "_metadata_class"):
-        store[key] = store._metadata_class.encode_array_metadata(meta)  # type: ignore
+        store[key] = store._metadata_class.encode_array_metadata(meta)
     else:
         store[key] = encode_array_metadata(meta)
 
@@ -729,10 +729,10 @@ def _init_group_metadata(
     if store_version == 3:
         meta = {"attributes": {}}  # type: ignore
     else:
-        meta = {}  # type: ignore
+        meta = {}
     key = _prefix_to_group_key(store, _path_to_prefix(path))
     if hasattr(store, "_metadata_class"):
-        store[key] = store._metadata_class.encode_group_metadata(meta)  # type: ignore
+        store[key] = store._metadata_class.encode_group_metadata(meta)
     else:
         store[key] = encode_group_metadata(meta)
 

src/zarr/util.py

@@ -182,7 +182,7 @@ def normalize_chunks(chunks: Any, shape: Tuple[int, ...], typesize: int) -> Tupl
 def normalize_dtype(dtype: Union[str, np.dtype], object_codec) -> Tuple[np.dtype, Any]:
     # convenience API for object arrays
     if inspect.isclass(dtype):
-        dtype = dtype.__name__  # type: ignore
+        dtype = dtype.__name__
     if isinstance(dtype, str):
         # allow ':' to delimit class from codec arguments
         tokens = dtype.split(":")