// license that can be found in the LICENSE file.

//go:build (!amd64 && !arm64) || purego

package nistec

import "errors"

func P256OrdInverse(k []byte) ([]byte, error) {
	return nil, errors.New("unimplemented")

// license that can be found in the LICENSE file.

//go:build !unix

package runtime

const canCreateFile = false

func create(name *byte, perm int32) int32 {
	throw("unimplemented")
	return -1

                                      const AbstractOperation* value) {
  return tensorflow::errors::Unimplemented(
      "SetAttrFunction has not been implemented yet.");
}
Status TapeOperation::SetAttrFunctionName(const char* attr_name,
                                          const char* value, size_t length) {
  return tensorflow::errors::Unimplemented(
      "SetAttrFunctionName has not been implemented "
      "yet.");
}

    return absl::OkStatus();
  }

  Status RegisterFunction(AbstractFunction* func) override {
    return errors::Unimplemented(
        "Registering graph functions has not been implemented yet.");
  }

  Status RemoveFunction(const string& func) override {
    return errors::Unimplemented(
        "GraphContext::RemoveFunction has not been implemented yet.");
  }
  // For LLVM style RTTI.

    for (const auto& t : signature.tuple()) {
      if (t.type() != TaggedValue::Type::TENSOR_SPEC) {
        break;
      }
    }
    return ::tensorflow::OkStatus();
  }
  return tensorflow::errors::Unimplemented(
      "Only functions with inputs/outputs containing a single tensor or a tuple"
      " of tensors are supported right now.");
}

Status VerifySupportedArgs(TaggedValue args) {

    case AttrValue::kList:
      if (attr_.full_type() == "list(string)" &&
          attr_value.list().s_size() == 0) {
        return "{}";
      }
      LOG(WARNING) << "Unimplemented: default value of list-typed attribute.";
      return "/* UNIMPLEMENTED */";
    case AttrValue::kShape:
    case AttrValue::kTensor:
    case AttrValue::kFunc:
    case AttrValue::kPlaceholder:

      continue;
    }
    if (mlir::isa<mlir::AffineMapAttr>(attr)) {
      // AffineMapAttr is not implemented.
      return errors::Unimplemented("AffineMap attribute (needed for '",
                                   name_strref, "') unimplemented");
    }
    TF_RETURN_IF_ERROR(
        llvm::TypeSwitch<mlir::Attribute, Status>(attr)
            .Case<mlir::BoolAttr, mlir::IntegerAttr, mlir::FloatAttr,

		ldr.Errorf(s, "unimplemented S390x relocation: %v", r.Type()-objabi.ElfRelocOffset)
		return false

	case objabi.ElfRelocOffset + objabi.RelocType(elf.R_390_GLOB_DAT):
		ldr.Errorf(s, "unimplemented S390x relocation: %v", r.Type()-objabi.ElfRelocOffset)
		return false

	case objabi.ElfRelocOffset + objabi.RelocType(elf.R_390_JMP_SLOT):

        TF_ASSIGN_OR_RETURN(auto attr, ConvertTensorProto(item, builder));
        attrs.push_back(attr);
      }
      if (!value.list().func().empty()) {
        return tensorflow::errors::Unimplemented(
            absl::StrCat("Attribute ", value.DebugString()));
      }
      return builder->getArrayAttr(llvm::ArrayRef(attrs.begin(), attrs.end()));
    }
    case AttrValue::VALUE_NOT_SET:

	return nil, status.Errorf(codes.Unimplemented, "method Echo not implemented")
}
func (UnimplementedEchoTestServiceServer) ForwardEcho(context.Context, *ForwardEchoRequest) (*ForwardEchoResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ForwardEcho not implemented")
}