Work around an astor regression for NaN

This commit is contained in:
Kodi Arfer 2017-10-31 17:50:44 -07:00
parent 6bb997dbea
commit a074bb9a5c

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@ -27,6 +27,7 @@ import copy
import inspect
from collections import defaultdict
from cmath import isnan
if PY3:
import builtins
@ -2155,11 +2156,27 @@ class HyASTCompiler(object):
raise HyTypeError(cons, "Can't compile a top-level cons cell")
@builds(HyInteger, HyFloat, HyComplex)
def compile_numeric_literal(self, number, building):
def compile_numeric_literal(self, x, building):
f = {HyInteger: long_type,
HyFloat: float,
HyComplex: complex}[building]
return asty.Num(number, n=f(number))
# Work around https://github.com/berkerpeksag/astor/issues/85 :
# astor can't generate Num nodes with NaN, so we have
# to build an expression that evaluates to NaN.
def nn(number):
return asty.Num(x, n=number)
if isnan(x):
def nan(): return asty.BinOp(
x, left=nn(1e900), op=ast.Sub(), right=nn(1e900))
if f is complex:
return asty.Call(
x,
func=asty.Name(x, id="complex", ctx=ast.Load()),
keywords=[],
args=[nan() if isnan(x.real) else nn(x.real),
nan() if isnan(x.imag) else nn(x.imag)])
return nan()
return nn(f(x))
@builds(HySymbol)
def compile_symbol(self, symbol):