Add rounding_method parameter on float_round method to offer
HALF-UP (default, usual round) or UP (ceiling) rounding method.
Use the second method instead of math.ceil() for product
reservations.
For UP, the python math.ceil() method uses "torwards infinity"
rounding method while we want "away from zero".
Therefore we use the absolute value of normalized_value to make
sure than -1.8 is rounded to -2.0 and not -1.
Fixes#1125#2793
This is a cherry-pick of d4972ff which was reverted at 333852e due
to remaining issue with negative values.
This reverts commit d4972ffdb6.
Seems to break some cases, at least in _product_reserve from stock/stock.py
Actual use case:
SELECT product_uom, sum(product_qty) AS product_qty FROM stock_move WHERE location_dest_id=%s AND location_id<>%s AND product_id=3645 AND state='done' GROUP BY product_uom;
returning 1 | 6
SELECT product_uom,-sum(product_qty) AS product_qty FROM stock_move WHERE location_id=%s AND location_dest_id<>%s AND product_id=%s AND state in ('done', 'assigned') GROUP BY product_uom;
returning 1 | -6
results += cr.dictfetchall()
total = 0.0
results2 = 0.0
for r in results:
amount = uom_obj._compute_qty(cr, uid, r['product_uom'], r['product_qty'], context.get('uom', False))
results2 += amount
total += amount
Total = 1, amount = -5
It should actually be
Total = 0, amount = -6
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.
Also improved test and added warning logging when
crossing the precision limit due to too many
significant digits. There is apparently a limitation
in Python's float implementation for this.
bzr revid: odo@openerp.com-20111220163420-lz0sh1h0yjkh6jdc
Martin Trigaux
Denis Ledoux
Cedric Snauwaert
Olivier Dony