def one_row

bendtorch-core@0.1.0.0 · src/tensor/matmul.bend:585

import Base

585# The eight cells from base lie below the count and in the row of cell base.
586def one_row(+layout: Layout, +count: Nat, +base: Nat) -> Bool:
587  Layout{+lo, +ro, +inner, +rows, +columns} = layout
588  Bool.and(Nat.is_lt(base, count), Bool.and(Nat.is_lt(Nat.add(1n, base), count), Bool.and(Nat.is_lt(Nat.add(2n, base), count), Bool.and(Nat.is_lt(Nat.add(3n, base), count), Bool.and(Nat.is_lt(Nat.add(4n, base), count), Bool.and(Nat.is_lt(Nat.add(5n, base), count), Bool.and(Nat.is_lt(Nat.add(6n, base), count), Bool.and(Nat.is_lt(Nat.add(7n, base), count), Bool.and(Nat.is_eq(row_of(columns, Nat.add(1n, base)), row_of(columns, base)), Bool.and(Nat.is_eq(row_of(columns, Nat.add(2n, base)), row_of(columns, base)), Bool.and(Nat.is_eq(row_of(columns, Nat.add(3n, base)), row_of(columns, base)), Bool.and(Nat.is_eq(row_of(columns, Nat.add(4n, base)), row_of(columns, base)), Bool.and(Nat.is_eq(row_of(columns, Nat.add(5n, base)), row_of(columns, base)), Bool.and(Nat.is_eq(row_of(columns, Nat.add(6n, base)), row_of(columns, base)), Bool.and(Nat.is_eq(row_of(columns, Nat.add(7n, base)), row_of(columns, base)), True{})))))))))))))))