// RUN: mlir-tblgen -gen-op-defs -I %S/../../include %s | FileCheck %s

include "mlir/IR/OpBase.td"

def Test_Dialect : Dialect {
  let name = "test";
}
class NS_Op<string mnemonic, list<OpTrait> traits> :
    Op<Test_Dialect, mnemonic, traits>;

def I32OrF32 : Type<CPred<"$_self.isInteger(32) || $_self.isF32()">,
                    "32-bit integer or floating-point type">;

def OpA : NS_Op<"op_for_CPred_containing_multiple_same_placeholder", []> {
  let arguments = (ins I32OrF32:$x);
}

// CHECK-LABEL: OpA::verify
// CHECK: for (Value v : getODSOperands(0)) {
// CHECK:   if (!((v.getType().isInteger(32) || v.getType().isF32())))

def OpB : NS_Op<"op_for_And_PredOpTrait", [
    PredOpTrait<"both first and second holds",
                And<[CPred<"first">, CPred<"second">]>>]> {
}

// CHECK-LABEL: OpB::verify
// CHECK: if (!(((first)) && ((second))))

def OpF : NS_Op<"op_for_int_min_val", []> {
  let arguments = (ins Confined<I32Attr, [IntMinValue<10>]>:$attr);
}

// CHECK-LABEL: OpF::verify()
// CHECK:       (tblgen_attr.cast<IntegerAttr>().getInt() >= 10)
// CHECK-SAME:    return emitOpError("attribute 'attr' failed to satisfy constraint: 32-bit integer attribute whose minimum value is 10");

def OpFX : NS_Op<"op_for_int_max_val", []> {
  let arguments = (ins Confined<I32Attr, [IntMaxValue<10>]>:$attr);
}

// CHECK-LABEL: OpFX::verify()
// CHECK:       (tblgen_attr.cast<IntegerAttr>().getInt() <= 10)
// CHECK-SAME:    return emitOpError("attribute 'attr' failed to satisfy constraint: 32-bit integer attribute whose maximum value is 10");

def OpG : NS_Op<"op_for_arr_min_count", []> {
  let arguments = (ins Confined<ArrayAttr, [ArrayMinCount<8>]>:$attr);
}

// CHECK-LABEL: OpG::verify()
// CHECK:       (tblgen_attr.cast<ArrayAttr>().size() >= 8)
// CHECK-SAME:    return emitOpError("attribute 'attr' failed to satisfy constraint: array attribute with at least 8 elements");

def OpH : NS_Op<"op_for_arr_value_at_index", []> {
  let arguments = (ins Confined<ArrayAttr, [IntArrayNthElemEq<0, 8>]>:$attr);
}

// CHECK-LABEL: OpH::verify()
// CHECK: (((tblgen_attr.cast<ArrayAttr>().size() > 0)) && ((tblgen_attr.cast<ArrayAttr>().getValue()[0].cast<IntegerAttr>().getInt() == 8)))))
// CHECK-SAME:    return emitOpError("attribute 'attr' failed to satisfy constraint: array attribute whose 0-th element must be 8");

def OpI: NS_Op<"op_for_arr_min_value_at_index", []> {
  let arguments = (ins Confined<ArrayAttr, [IntArrayNthElemMinValue<0, 8>]>:$attr);
}

// CHECK-LABEL: OpI::verify()
// CHECK: (((tblgen_attr.cast<ArrayAttr>().size() > 0)) && ((tblgen_attr.cast<ArrayAttr>().getValue()[0].cast<IntegerAttr>().getInt() >= 8)))))
// CHECK-SAME:    return emitOpError("attribute 'attr' failed to satisfy constraint: array attribute whose 0-th element must be at least 8");

def OpJ: NS_Op<"op_for_TCopVTEtAreSameAt", [
                PredOpTrait<"operands indexed at 0, 2, 3 should all have "
                 "the same type", TCopVTEtAreSameAt<[0, 2, 3]>>]> {
  let arguments = (ins
    AnyTensor:$a,
    AnyTensor:$b,
    AnyTensor:$c,
    AnyTensor:$d,
    AnyTensor:$e
  );
}

// CHECK-LABEL: OpJ::verify()
// CHECK:      llvm::is_splat(mlir::functional::map(
// CHECK-SAME:   [this](unsigned i) { return getElementTypeOrSelf(this->getOperand(i)); },
// CHECK-SAME:   llvm::ArrayRef<unsigned>({0, 2, 3})))
// CHECK:   return emitOpError("failed to verify that operands indexed at 0, 2, 3 should all have the same type");

def OpK : NS_Op<"op_for_AnyTensorOf", []> {
  let arguments = (ins TensorOf<[F32, I32]>:$x);
}

// CHECK-LABEL: OpK::verify
// CHECK: for (Value v : getODSOperands(0)) {
// CHECK: if (!(((v.getType().isa<TensorType>())) && (((v.getType().cast<ShapedType>().getElementType().isF32())) || ((v.getType().cast<ShapedType>().getElementType().isInteger(32))))))