[mlir][taco] Accept an integer list for the ordering when defining a tensor format.

[bixia]

Summary

The unit tests for PyTACO hasn't been upstreamed yet. A unit test for this
change will be added when we upstream all the unit tests for PyTACO.

[aartbik]

Thanks Bixia.

mlir/test/Integration/Dialect/SparseTensor/taco/tools/mlir_pytaco.py

if isinstance(self.format_pack, list):
       if not _all_instance_of(self.format_pack, ModeFormat):
         raise ValueError(f"Expected a list of ModeFormat: {self.format_pack}")
       self.format_pack = ModeFormatPack(self.format_pack)
     if not isinstance(self.format_pack, ModeFormatPack):
       raise ValueError(f"Expected ModeFormatpack: {self.format_pack}")
 
     if self.ordering is None:
       self.ordering = ModeOrdering(list(range(self.rank())))
+    if isinstance(self.ordering, list):
+      if not _all_instance_of(self.ordering, int):
+        raise ValueError(f"Expected a list of integer: {self.ordering}")
+      self.ordering = ModeOrdering(self.ordering)
     if not isinstance(self.ordering, ModeOrdering):
       raise ValueError(f"Expected ModeOrdering: {self.ordering}")
 
     if self.format_pack.rank() != self.ordering.rank():
       raise ValueError("Inconsistent ModeFormatPack and ModeOrdering: "
                        f"len({self.format_pack}) != "
                        f"len({self.ordering})")