// FILE: issue/pack/RowIcon.java
package issue.pack;

public class RowIcon {
    public static class RClass {}
}

// MODULE: main(lib)
// FILE: usage.kt
package usage

fun testJavaNestedClass(alignment: issue.pack.RowIcon.RClass) {
}

fun checkIt() {
    testJavaNestedClass(issue.pack.RowIcon.RClass())

plugins {
    id 'java-platform'
// end::platform[]
    id 'myproject.publishing-conventions'
// tag::platform[]
}

dependencies {
    // The platform declares constraints on all components that
    // require alignment
    constraints {
        api(project(":core"))
        api(project(":lib"))
        api(project(":utils"))
    }
}
// end::platform[]

publishing {
    publications {

to a specified boundary by padding with NOOP instruction. The alignment value supported on arm64
must be a power of 2 and in the range of [8, 2048].

Examples:

	PCALIGN $16
	MOVD $2, R0          // This instruction is aligned with 16 bytes.
	PCALIGN $1024
	MOVD $3, R1          // This instruction is aligned with 1024 bytes.

PCALIGN also changes the function alignment. If a function has one or more PCALIGN directives,

rootProject.name = "dependency-alignment"...

plugins {
    `java-platform`
// end::platform[]
    id("myproject.publishing-conventions")
// tag::platform[]
}

dependencies {
    // The platform declares constraints on all components that
    // require alignment
    constraints {
        api(project(":core"))
        api(project(":lib"))
        api(project(":utils"))
    }
}
// end::platform[]

publishing {
    publications {

	// Switch to g0 stack.
	MOVQ	SP, R12		// callee-saved, preserved across the CALL
	MOVQ	m_g0(R13), R10
	CMPQ	R10, R14
	JE	call	// already on g0
	MOVQ	(g_sched+gobuf_sp)(R10), SP
call:
	ANDQ	$~15, SP	// alignment for gcc ABI
	CALL	AX
	MOVQ	R12, SP
	RET

// void runtime·libfuzzerCallTraceIntCmp(fn, arg0, arg1, fakePC uintptr)
// Calls C function fn from libFuzzer and passes 2 arguments to it after

  // If not set, a default mapper will be used.
  tensorflow::OpOrArgNameMapper* op_or_arg_name_mapper = nullptr;
  // User-specified value of flatbuffer alignment requirement for custom
  // options. If specified, the value should be multiplier of 16 (default
  // alignment for TFL flatbuffer).
  std::optional<size_t> custom_option_alignment = std::nullopt;
};

// Translates the given MLIR `module` into a FlatBuffer and stores the

//go:build wasm

package cpu

// We're compiling the cpu package for an unknown (software-abstracted) CPU.
// Make CacheLinePad an empty struct and hope that the usual struct alignment
// rules are good enough.

const cacheLineSize = 0

func initOptions() {}

	Max_protection   int32
	Inheritance      uint32
	Shared           int32
	Reserved         int32
	Offset           [8]byte // This is hand-edited since godefs generates: Pad_cgo_0 [8]byte. Cannot use uint64 due to alignment.
	Behavior         int32
	User_wired_count uint16
	Pad_cgo_1        [2]byte
}

const (
	_VM_PROT_READ    = 0x1
	_VM_PROT_WRITE   = 0x2
	_VM_PROT_EXECUTE = 0x4

	_MACH_SEND_INVALID_DEST = 0x10000003

    void (*deallocator)(void* data, size_t len, void* arg),
    void* deallocator_arg);

// Returns the alignment, in bytes, required for allocating aligned tensors.
//
// This can be used in combination with TF_NewTensor to manually manage
// memory while ensuring the resulting tensors satisfy TensorFlow's
// memory alignment preferences.
TF_CAPI_EXPORT extern size_t TF_TensorDefaultAlignment();

// Allocate and return a new Tensor.
//