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//! Testing corner cases.
#![allow(non_upper_case_globals, non_snake_case)] // Macro conventions.
use ral_registers as ral;
mod periph {
#[repr(C)]
pub struct RegisterBlock {
/// Multi-dimensional arrays.
#[allow(clippy::type_complexity)] // Intentionally complex type.
pub DEEP_LEARNING: [[[[[[[[ral_registers::RWRegister<u32>; 1]; 2]; 3]; 4]; 5]; 6]; 7]; 8],
}
pub mod DEEP_LEARNING {
pub mod GRADIENT {
pub const offset: u32 = 3;
pub const mask: u32 = 0x1F << offset;
pub mod R {}
pub mod W {}
pub mod RW {}
}
}
pub struct ResetValues {
pub DEEP_LEARNING: u32,
}
pub mod INST {
pub const reset: super::ResetValues = super::ResetValues { DEEP_LEARNING: 42 };
}
}
fn register_block() -> periph::RegisterBlock {
// Safety: bitpattern of zero is fine.
use std::mem::MaybeUninit;
unsafe { MaybeUninit::zeroed().assume_init() }
}
#[test]
fn read_deep_array() {
let rb = register_block();
rb.DEEP_LEARNING[7][6][5][4][3][2][1][0].write(u32::MAX);
let gradient = ral::read_reg!(periph, &rb, DEEP_LEARNING[7][6][5][4][3][2][1][0], GRADIENT);
assert_eq!(gradient, 0x1F);
}
#[test]
fn write_deep_array() {
let rb = register_block();
ral::write_reg!(periph, &rb, DEEP_LEARNING[7][6][5][4][3][2][1][0], 23);
assert_eq!(rb.DEEP_LEARNING[7][6][5][4][3][2][1][0].read(), 23);
}
#[test]
fn modify_deep_array() {
let rb = register_block();
ral::modify_reg!(periph, &rb, DEEP_LEARNING[7][6][5][4][3][2][1][0], GRADIENT: 42);
assert_eq!(
rb.DEEP_LEARNING[7][6][5][4][3][2][1][0].read(),
(42 & 0x1F) << 3
);
}
#[test]
fn reset_deep_array() {
let rb = register_block();
ral::reset_reg!(periph, &rb, INST, DEEP_LEARNING[7][6][5][4][3][2][1][0]);
assert_eq!(rb.DEEP_LEARNING[7][6][5][4][3][2][1][0].read(), 42);
}
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