from copapy import NumLike from copapy.backend import Write, compile_to_dag, add_read_command import copapy as cp import subprocess import struct from copapy import _binwrite import copapy.backend import pytest def run_command(command: list[str]) -> str: result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, encoding='utf8', check=False) assert result.returncode != 11, f"SIGSEGV (segmentation fault)\n -Error occurred: {result.stderr}\n -Output: {result.stdout}" assert result.returncode == 0, f"\n -Error occurred: {result.stderr}\n -Output: {result.stdout}" return result.stdout def test_example(): c1 = 4 c2 = 2 i1 = c1 * 2 r1 = i1 + 7 + (c2 + 7 * 9) r2 = i1 + 9 en = {'little': '<', 'big': '>'}['little'] data = struct.pack(en + 'i', r1) print("example r1 " + ' '.join(f'{b:02X}' for b in data)) data = struct.pack(en + 'i', r2) print("example r2 " + ' '.join(f'{b:02X}' for b in data)) def function(c1: NumLike, c2: NumLike) -> tuple[NumLike, ...]: i1 = c1 // 3.3 + 5 i2 = c2 * 5 + c1 r1 = i1 + i2 * 55 / 4 r2 = 4 * i2 + 5 return i1, i2, r1, r2 @pytest.mark.runner def test_compile(): #c1 = variable(4) #c2 = variable(2) #ret = function(c1, c2) #ret = [c1 // 3.3 + 5] t1 = cp.vector([10, 11, 12]) + cp.vector(cp.variable(v) for v in range(3)) t2 = t1.sum() t3 = cp.vector(cp.variable(1 / (v + 1)) for v in range(3)) t4 = ((t3 * t1) * 2).sum() t5 = ((t3 * t1) * 2).magnitude() ret = (t2, t4, t5) out = [Write(r) for r in ret] il, variables = compile_to_dag(out, copapy.generic_sdb) # run program command il.write_com(_binwrite.Command.RUN_PROG) for net in ret: assert isinstance(net, copapy.backend.Net) add_read_command(il, variables, net) il.write_com(_binwrite.Command.END_COM) print('* Data to runner:') il.print() il.to_file('build/runner/test.copapy') result = run_command(['build/runner/coparun', 'build/runner/test.copapy']) print('* Output from runner:\n--') print(result) print('--') assert 'Return value: 1' in result #assert 'END_COM' in result if __name__ == "__main__": #test_example() test_compile()