[FIX] product,float_utils: perform ceiling via float_round with new rounding_method UP

Modified product ceiling() to use float_round() with special mode
for rounding UP (away from zero), avoiding pathological cases where
float representations errors were ceiling to the superior unit.

Also added correspding tests for rounding_method=UP

Fixes issue #1125, and replaces PR #1126.

addons/product/_common.py

@@ -20,9 +20,6 @@
 ##############################################################################
 from openerp import tools
 
-import math
-
-
 def rounding(f, r):
 	# TODO for trunk: log deprecation warning
 	# _logger.warning("Deprecated rounding method, please use tools.float_round to round floats.")
@@ -32,4 +29,4 @@ def rounding(f, r):
 def ceiling(f, r):
     if not r:
         return f
-    return math.ceil(f / r) * r
+    return tools.float_round(f, precision_rounding=r, rounding_method='UP')

openerp/addons/base/test/base_test.yml

@@ -198,8 +198,8 @@
 -
     !python {model: res.currency}: |
         from tools import float_compare, float_is_zero, float_round, float_repr
-        def try_round(amount, expected, precision_digits=3, float_round=float_round, float_repr=float_repr):
+        def try_round(amount, expected, precision_digits=3, float_round=float_round, float_repr=float_repr, rounding_method='HALF-UP'):
-            result = float_repr(float_round(amount, precision_digits=precision_digits),
+            result = float_repr(float_round(amount, precision_digits=precision_digits, rounding_method=rounding_method),
                                 precision_digits=precision_digits)
             assert result == expected, 'Rounding error: got %s, expected %s' % (result, expected)
         try_round(2.6745, '2.675')
@@ -213,6 +213,15 @@
         try_round(457.4554, '457.455')
         try_round(-457.4554, '-457.455')
 
+        # Try some rounding value with rounding method UP instead of HALF-UP
+        # We use 8.175 because when normalizing 8.175 with precision_digits=3 it gives
+        # us 8175,0000000001234 as value, and if not handle correctly the rounding UP
+        # value will be incorrect (should be 8,175 and not 8,176)
+        try_round(8.175, '8.175', rounding_method='UP')
+        try_round(8.1751, '8.176', rounding_method='UP')
+        try_round(-8.175, '-8.175', rounding_method='UP')
+        try_round(-8.1751, '-8.175', rounding_method='UP')
+
         # Extended float range test, inspired by Cloves Almeida's test on bug #882036.
         fractions = [.0, .015, .01499, .675, .67499, .4555, .4555, .45555]
         expecteds = ['.00', '.02', '.01', '.68', '.67', '.46', '.456', '.4556']

openerp/tools/float_utils.py

@@ -29,10 +29,11 @@ def _float_check_precision(precision_digits=None, precision_rounding=None):
         return 10 ** -precision_digits
     return precision_rounding
 
-def float_round(value, precision_digits=None, precision_rounding=None):
+def float_round(value, precision_digits=None, precision_rounding=None, rounding_method='HALF-UP'):
-    """Return ``value`` rounded to ``precision_digits``
+    """Return ``value`` rounded to ``precision_digits`` decimal digits,
-       decimal digits, minimizing IEEE-754 floating point representation
+       minimizing IEEE-754 floating point representation errors, and applying
-       errors, and applying HALF-UP (away from zero) tie-breaking rule.
+       the tie-breaking rule selected with ``rounding_method``, by default
+       HALF-UP (away from zero).
        Precision must be given by ``precision_digits`` or ``precision_rounding``,
        not both!
 
@@ -41,6 +42,9 @@ def float_round(value, precision_digits=None, precision_rounding=None):
        :param float precision_rounding: decimal number representing the minimum
            non-zero value at the desired precision (for example, 0.01 for a 
            2-digit precision).
+       :param rounding_method: the rounding method used: 'HALF-UP' or 'UP', the first
+           one rounding up to the closest number with the rule that number>=0.5 is 
+           rounded up to 1, and the latest one always rounding up.
        :return: rounded float
     """
     rounding_factor = _float_check_precision(precision_digits=precision_digits,
@@ -52,7 +56,7 @@ def float_round(value, precision_digits=None, precision_rounding=None):
     # we normalize the value before rounding it as an integer, and de-normalize
     # after rounding: e.g. float_round(1.3, precision_rounding=.5) == 1.5
 
-    # TIE-BREAKING: HALF-UP
+    # TIE-BREAKING: HALF-UP (for normal rounding)
     # We want to apply HALF-UP tie-breaking rules, i.e. 0.5 rounds away from 0.
     # Due to IEE754 float/double representation limits, the approximation of the
     # real value may be slightly below the tie limit, resulting in an error of
@@ -66,8 +70,19 @@ def float_round(value, precision_digits=None, precision_rounding=None):
     normalized_value = value / rounding_factor # normalize
     epsilon_magnitude = math.log(abs(normalized_value), 2)
     epsilon = 2**(epsilon_magnitude-53)
-    normalized_value += cmp(normalized_value,0) * epsilon
+    if rounding_method == 'HALF-UP':
-    rounded_value = round(normalized_value) # round to integer
+        normalized_value += cmp(normalized_value,0) * epsilon
+        rounded_value = round(normalized_value) # round to integer
+
+    # TIE-BREAKING: UP (for ceiling operations)
+    # When rounding the value up, we instead subtract the epsilon value
+    # as the the approximation of the real value may be slightly *above* the
+    # tie limit, this would result in incorrectly rounding up to the next number
+
+    elif rounding_method == 'UP':
+        normalized_value -= cmp(normalized_value,0) * epsilon
+        rounded_value = math.ceil(normalized_value) # ceil to integer
+
     result = rounded_value * rounding_factor # de-normalize
     return result