Hi! Thanks for the report! I fixed this in 179c172169f1. Cheers, Carl Friedrich On 27/07/18 12:18, hubo wrote:

In PyPy 3.5, the following small piece of code cannot be imported, and causes a SystemError: def test(*a: lambda x: None):     pass Stderr: # pypy3 test.py RPython traceback:   File "pypy_interpreter.c", line 33969, in BuiltinCode_funcrun_obj   File "pypy_module___builtin__.c", line 2705, in compile   File "pypy_interpreter.c", line 50963, in PythonAstCompiler__compile_ast   File "pypy_interpreter_astcompiler.c", line 1543, in compile_ast   File "pypy_interpreter_astcompiler.c", line 5995, in Module_walkabout   File "pypy_interpreter_astcompiler.c", line 13362, in PythonCodeGenerator__handle_body   File "pypy_interpreter_astcompiler_2.c", line 20473, in PythonCodeGenerator_visit_FunctionDef   File "pypy_interpreter_astcompiler_2.c", line 37632, in _visit_function__FunctionCodeGenerator   File "pypy_interpreter_astcompiler_2.c", line 61299, in _visit_annotations__pypy_interpreter_astcompiler_1   File "pypy_interpreter_astcompiler_3.c", line 8128, in PythonCodeGenerator__visit_arg_annotation   File "pypy_interpreter_astcompiler_2.c", line 22498, in PythonCodeGenerator_visit_Lambda   File "pypy_interpreter_astcompiler_2.c", line 35719, in PythonCodeGenerator_sub_scope   File "pypy_interpreter_astcompiler.c", line 11371, in PythonCodeGenerator___init__ SystemError: unexpected internal exception (please report a bug): ; internal traceback was dumped to stderr The crash appears when:

1. A varaible argument of a function has an annotation (like *args or **kwargs, normal arguments are not affected), and 2. A lambda expression is used in the annotation

Both criterias must be met. This cannot be reproduced on CPython3.5+. Also, Python document says:

Parameters may have annotations of the form “|:expression|” following the parameter name. Any parameter may have an annotation even those of the form|*identifier|or|**identifier|. Functions may have “return” annotation of the form “|->expression|” after the parameter list. These annotations can be any valid Python expression. The presence of annotations does not change the semantics of a function. The annotation values are available as values of a dictionary keyed by the parameters’ names in the|__annotations__|attribute of the function object.

Mutiple versions of PyPy 3.5 have this bug,  including 5.8, 5.10 and 6.0 2018-07-27 ------------------------------------------------------------------------ hubo

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