// Get rid of all CR characters, we may be running under windows.
  string sanitized_expected_contents(expected_contents);
  if (ignore_cr) {
    sanitized_expected_contents.erase(
        std::remove(sanitized_expected_contents.begin(),
                    sanitized_expected_contents.end(), '\r'),
        sanitized_expected_contents.end());
  }

      then_name, else_name, if_region.getIsStateless());
  CopyAndOverrideAttributes(if_region, if_op, &builder);

  if_region.replaceAllUsesWith(if_op.getResults());
  if_region.erase();

  if (to_bool && to_bool.use_empty()) to_bool.erase();
  return success();
}

// Transform CaseRegion to Case.
LogicalResult RegionControlFlowToFunctional::ConvertCaseOp(

        return failure();
      }
      new_input_types[i] = arg_type;
      arg.dropAllUses();
      if (quantize_op.use_empty()) {
        quantize_op.erase();
      }
    } else {
      // `arg` has multiple uses or the user isn't a quantiz op (so we couldn't
      // rewrite it to a different type. Make a copy of the `arg` and replace
      // its use.

          auto s_const = builder.create<SparseConstOp>(
              op->getLoc(), cst.getValue(), s_param, new_value);
          value.replaceAllUsesWith(s_const.getResult());
          cst.erase();
        } else if (type.getElementType().isF16()) {
          std::vector<Eigen::half> dense_data;
          dense_data.reserve(type.getNumElements());
          for (const auto& val : attr.getValues<APFloat>())

      status = ReplacePartitionedOp(num_cores_per_replica, partitioned_output);
    }

    if (status.has_value()) {
      if (failed(*status) || !op->use_empty()) return WalkResult::interrupt();

      op->erase();
    }

    return WalkResult::advance();
  });

  if (result.wasInterrupted()) {
    signalPassFailure();
    return;
  }
}

}  // namespace

func FilterIndex[I any, K comparable](idx *Index[I, K], k K) FetchOption {
	return func(h *dependency) {
		// Index is used to pre-filter on the List, and also to match in Matches. Provide type-erased methods for both
		h.filter.listFromIndex = func() any {
			return idx.Lookup(k)
		}
		h.filter.indexMatches = func(a any) bool {
			return idx.objectHasKey(a.(I), k)
		}
	}
}

            PartialTensorShapeUtils::PartialShapeListString(it->second),
            ", actual: ",
            PartialTensorShapeUtils::PartialShapeListString(shapes));
      }
      expected_shapes.erase(it);
    }
  }
  if (!expected_shapes.empty()) {
    std::vector<string> missing;
    missing.reserve(expected_shapes.size());
    for (const auto& entry : expected_shapes) {
      missing.push_back(entry.first);

      //   }
      // clang-format on
      for (auto attr : session_initializer.getInitializers()) {
        auto sym_attr = mlir::dyn_cast<FlatSymbolRefAttr>(attr);
        if (!sym_attr) break;
        entrypoints.erase(sym_attr.getValue());
      }
    }

    if (entrypoints.empty()) {
      return fail(module, "No entrypoints found");
    }
    if (entrypoints.size() == 1) {
      auto entrypoint = entrypoints.begin()->second;

  // Export the result as a FunctionDef.
  FunctionDef func_def;
  TF_RETURN_IF_ERROR(
      ConvertMlirFunctionToFunctionLibraryDef(func, export_confs_, &func_def));
  module.erase();
  return func_def;
}

Status TFRDecomposeContext::DecomposeGraph(mlir::ModuleOp user_module) {
  // Call the decompose passes by using the external symbol table.
  if (failed(pm_.run(user_module))) {

        op_builder->create<mhlo::BroadcastInDimOp>(
            const_op->getLoc(), splat_elements_attr.getType(), scalar,
            broadcast_dims);
    const_op->replaceAllUsesWith(broadcast_in_dim_op);
    const_op->erase();
  }
};

}  // namespace

std::unique_ptr<OperationPass<ModuleOp>> CreateUnfoldSplatConstantPass() {
  return std::make_unique<UnfoldSplatConstantPass>();
}