diff --git a/compiler/lib/Conversion/FHEToTFHEScalar/FHEToTFHEScalar.cpp b/compiler/lib/Conversion/FHEToTFHEScalar/FHEToTFHEScalar.cpp
index e374e68b6..2ca43f3a4 100644
--- a/compiler/lib/Conversion/FHEToTFHEScalar/FHEToTFHEScalar.cpp
+++ b/compiler/lib/Conversion/FHEToTFHEScalar/FHEToTFHEScalar.cpp
@@ -208,8 +208,7 @@ struct SubIntEintOpPattern : public ScalarOpPattern<FHE::SubIntEintOp> {
     // Write the plaintext encoding
     mlir::Value encodedInt = writePlaintextShiftEncoding(
         op.getLoc(), adaptor.a(),
-        op.b().getType().cast<FHE::FheIntegerInterface>().getWidth(),
-        rewriter);
+        op.b().getType().cast<FHE::FheIntegerInterface>().getWidth(), rewriter);
 
     // Write the new op
     rewriter.replaceOpWithNewOp<TFHE::SubGLWEIntOp>(
@@ -331,7 +330,8 @@ struct ApplyLookupTableEintOpPattern
 
     // Insert keyswitch
     auto ksOp = rewriter.create<TFHE::KeySwitchGLWEOp>(
-        op.getLoc(), getTypeConverter()->convertType(adaptor.a().getType()), input, -1, -1);
+        op.getLoc(), getTypeConverter()->convertType(adaptor.a().getType()),
+        input, -1, -1);
 
     // Insert bootstrap
     rewriter.replaceOpWithNewOp<TFHE::BootstrapGLWEOp>(
diff --git a/compiler/lib/Dialect/FHE/Analysis/utils.cpp b/compiler/lib/Dialect/FHE/Analysis/utils.cpp
index 483536952..239cdfb9d 100644
--- a/compiler/lib/Dialect/FHE/Analysis/utils.cpp
+++ b/compiler/lib/Dialect/FHE/Analysis/utils.cpp
@@ -13,8 +13,9 @@ namespace utils {
 /// Returns `true` if the given value is a scalar or tensor argument of
 /// a function, for which a MANP of 1 can be assumed.
 bool isEncryptedValue(mlir::Value value) {
-  return (value.getType().isa<mlir::concretelang::FHE::FheIntegerInterface>() ||
-          value.getType().isa<mlir::concretelang::FHE::EncryptedBooleanType>() ||
+  return (
+      value.getType().isa<mlir::concretelang::FHE::FheIntegerInterface>() ||
+      value.getType().isa<mlir::concretelang::FHE::EncryptedBooleanType>() ||
       (value.getType().isa<mlir::TensorType>() &&
        value.getType()
            .cast<mlir::TensorType>()
diff --git a/compiler/lib/Support/V0ClientParameters.cpp b/compiler/lib/Support/V0ClientParameters.cpp
index 1a1782e91..da15d8c2a 100644
--- a/compiler/lib/Support/V0ClientParameters.cpp
+++ b/compiler/lib/Support/V0ClientParameters.cpp
@@ -93,6 +93,7 @@ llvm::Expected<CircuitGate> gateFromMLIRType(V0FHEContext fheContext,
             {
                 /* .precision = */ width,
                 /* .crt = */ std::vector<int64_t>(),
+                /* .sign = */ false,
             },
         }),
         /*.shape = */
diff --git a/compiler/tests/end_to_end_fixture/end_to_end_leveled_gen.py b/compiler/tests/end_to_end_fixture/end_to_end_leveled_gen.py
index c64a80426..c0ae6cc8e 100644
--- a/compiler/tests/end_to_end_fixture/end_to_end_leveled_gen.py
+++ b/compiler/tests/end_to_end_fixture/end_to_end_leveled_gen.py
@@ -700,6 +700,8 @@ def main():
         print("    %1 = \"FHE.mul_eint_int\"(%arg0, %0): (!FHE.esint<{0}>, i{1}) -> (!FHE.esint<{0}>)".format(p, integer_bitwidth))
         print("    return %1: !FHE.esint<{0}>".format(p))
         print("  }")
+        if p <= 57:
+            print(f"p-error: {P_ERROR}")
         print("tests:")
         print("  - inputs:")
         print("    - scalar: {0}".format(0))