pytern 1.5.0

High-performance Python-to-Ternary-Bytecode transpiler for MoE model training.
Documentation 
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from ssa_builder import PyTernSSABuilder
import ast

def generate_tbc_ssa(ssa_ir):
    # Mocking emitter logic for SSA
    from emitter import OPCODE_MAP
    bytecode = b""
    for instr in ssa_ir:
        if instr.opcode in OPCODE_MAP:
            bytecode += OPCODE_MAP[instr.opcode]
    return bytecode

def test_agentic_swarm_transpilation():
    source = """
def swarm_logic(agent_a, agent_b):
    sync_swarm()
    return consensus(agent_a, agent_b)
    """
    tree = ast.parse(source)
    builder = PyTernSSABuilder()
    builder.visit(tree)
    ssa_ir = builder.get_ir()
    
    bytecode = generate_tbc_ssa(ssa_ir)
    print(f"Generated Bytecode: {bytecode}")
    assert bytecode == b"\x04\x05"
    print("Test Passed: Agentic Swarm Orchestration Transpilation")

if __name__ == "__main__":
    test_agentic_swarm_transpilation()