João Bernardo <jbv...@gmail.com> added the comment:
Of course `nan` and `inf` are part of the syntax! The `ast.parse` function
recognize them as `Name`.
So that works:
>>> ast.dump(ast.parse('True'))
"Module(body=[Expr(value=Name(id='True', ctx=Load()))])"
>>> ast.dump(ast.parse('inf'))
"Module(body=[Expr(value=Name(id='inf', ctx=Load()))])"
>>> inf = float('inf')
>>> eval('inf')
inf
I've run into some literals with `Ellipsis` and `inf` and couldn't load them
with literal_eval. That's why I'm proposing that.
The thing about `nan` and `inf` is because they are the *only* representations
of float numbers produced by the interpreter that cannot be loaded.
Something like that could solve the problem keeping `literal_eval` safe and
allowing other names:
ast.literal_eval('[1.0, 2.0, inf]', {'inf': float('inf')})
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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue15245>
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