Remove explicit enforcement from Decimal rounding

etanol · etanol · commit 6238f6620c54 · 2016-05-28T23:00:24.000+02:00
Allow the rounding mode to be controlled from the currently active decimal context. This gives the caller the ability to control rounding mode, precision, exponent range and all attributes that affect decimal operations. Fixes #90
diff --git a/babel/_compat.py b/babel/_compat.py
@@ -61,16 +61,12 @@
 # Use cdecimal when available
 #
 from decimal import (Decimal as _dec,
-                     InvalidOperation as _invop,
-                     ROUND_HALF_EVEN as _RHE)
+                     InvalidOperation as _invop)
 try:
     from cdecimal import (Decimal as _cdec,
-                          InvalidOperation as _cinvop,
-                          ROUND_HALF_EVEN as _CRHE)
+                          InvalidOperation as _cinvop)
     Decimal = _cdec
     InvalidOperation = (_invop, _cinvop)
-    ROUND_HALF_EVEN = _CRHE
 except ImportError:
     Decimal = _dec
     InvalidOperation = _invop
-    ROUND_HALF_EVEN = _RHE
diff --git a/babel/numbers.py b/babel/numbers.py
@@ -22,7 +22,7 @@
 from datetime import date as date_, datetime as datetime_
 
 from babel.core import default_locale, Locale, get_global
-from babel._compat import Decimal, InvalidOperation, ROUND_HALF_EVEN
+from babel._compat import Decimal, InvalidOperation
 
 
 LC_NUMERIC = default_locale('LC_NUMERIC')
@@ -604,7 +604,7 @@ def apply(self, value, locale, currency=None, force_frac=None):
                 number += get_decimal_symbol(locale) + b
         else:  # A normal number pattern
             precision = Decimal('1.' + '1' * frac_prec[1])
-            rounded = value.quantize(precision, ROUND_HALF_EVEN)
+            rounded = value.quantize(precision)
             a, sep, b = str(abs(rounded)).partition(".")
             number = (self._format_int(a, self.int_prec[0],
                                        self.int_prec[1], locale) +
@@ -641,7 +641,7 @@ def apply(self, value, locale, currency=None, force_frac=None):
     def _format_significant(self, value, minimum, maximum):
         exp = value.adjusted()
         scale = maximum - 1 - exp
-        digits = str(value.scaleb(scale).quantize(Decimal(1), ROUND_HALF_EVEN))
+        digits = str(value.scaleb(scale).quantize(Decimal(1)))
         if scale <= 0:
             result = digits + '0' * -scale
         else:
