Appease mypy

Author: jessegrabowski

pytensor/sparse/sharedvar.py

@@ -7,7 +7,7 @@
 from pytensor.tensor.sharedvar import TensorSharedVariable
 
 
-class SparseTensorSharedVariable(TensorSharedVariable, SparseVariable):
+class SparseTensorSharedVariable(TensorSharedVariable, SparseVariable):  # type: ignore[misc]
     @property
     def format(self):
         return self.type.format

pytensor/sparse/variable.py

@@ -421,7 +421,7 @@ def dimshuffle(self, *pattern):
         raise NotImplementedError
 
 
-class SparseVariable(_sparse_py_operators, TensorVariable):
+class SparseVariable(_sparse_py_operators, TensorVariable):  # type: ignore[misc]
     format = property(lambda self: self.type.format)
 
     def __str__(self):
@@ -454,7 +454,7 @@ def pytensor_hash(self):
         return hash_from_sparse(d)
 
 
-class SparseConstant(SparseVariable, TensorConstant):
+class SparseConstant(SparseVariable, TensorConstant):  # type: ignore[misc]
     format = property(lambda self: self.type.format)
 
     def signature(self):

pytensor/tensor/slinalg.py

@@ -1654,7 +1654,7 @@ def _largest_common_dtype(tensors: Sequence[TensorVariable]) -> np.dtype:
 
 
 class BaseBlockDiagonal(Op):
-    __props__ = ("n_inputs",)
+    __props__: tuple[str, ...] = ("n_inputs",)
 
     def __init__(self, n_inputs):
         input_sig = ",".join(f"(m{i},n{i})" for i in range(n_inputs))