# Owner(s): ["oncall: jit"]

import torch
from torch.testing._internal.jit_utils import JitTestCase

if __name__ == "__main__":
    raise RuntimeError(
        "This test file is not meant to be run directly, use:\n\n"
        "\tpython test/test_jit.py TestPythonBindings\n\n"
        "instead."
    )


class TestPythonBindings(JitTestCase):
    def test_cu_get_functions(self):
        @torch.jit.script
        def test_get_python_cu_fn(x: torch.Tensor):
            return 2 * x

        cu = torch.jit._state._python_cu
        self.assertTrue(
            "test_get_python_cu_fn" in (str(fn.name) for fn in cu.get_functions())
        )

    def test_cu_create_function(self):
        @torch.jit.script
        def fn(x: torch.Tensor):
            return 2 * x

        cu = torch._C.CompilationUnit()
        cu.create_function("test_fn", fn.graph)

        inp = torch.randn(5)

        self.assertEqual(inp * 2, cu.find_function("test_fn")(inp))
        self.assertEqual(cu.find_function("doesnt_exist"), None)
        self.assertEqual(inp * 2, cu.test_fn(inp))
        with self.assertRaises(AttributeError):
            cu.doesnt_exist(inp)

    def test_invalidation(self):
        @torch.jit.script
        def test_invalidation_fn(x: torch.Tensor):
            return 2 * x

        gr = test_invalidation_fn.graph.copy()
        n = gr.insertNode(gr.create("prim::profile"))
        v = n.output()
        # check that they work
        str((n, v))
        torch._C._jit_pass_dce(gr)
        with self.assertRaisesRegex(RuntimeError, "invalidated"):
            str(n)
        with self.assertRaisesRegex(RuntimeError, "invalidated"):
            str(v)

    def test_graph_iterator_keepalive(self):
        @torch.jit.script
        def test_iterator_keepalive_fn(x: torch.Tensor):
            return 2 * x

        # the list would segfault before because inlined_graph
        # is temporary and had been deleted (see issue #50454)
        n = test_iterator_keepalive_fn.inlined_graph.nodes()
        list(n)
        i = test_iterator_keepalive_fn.inlined_graph.inputs()
        list(i)
        o = test_iterator_keepalive_fn.inlined_graph.outputs()
        list(o)

    def test_aliasdb(self):
        @torch.jit.script
        def test_aliasdb_fn(x: torch.Tensor):
            return 2 * x

        gr = test_aliasdb_fn.graph.copy()
        alias_db = gr.alias_db()
        self.assertTrue("WILDCARD" in str(alias_db))
        self.assertTrue("digraph alias_db" in alias_db.to_graphviz_str())