def test_allow_derivation(self):
u = unitconv.determine_compatible_units('b', 'datasize', 1, 's', 'time', allow_integration=False)
self.assertEqual(u['b'], (1.0, 'derive'))
self.assertEqual(u['B'], (8.0, 'derive'))
self.assertEqual(u['b/s'], (1.0, None))
self.assertAlmostEqual(u['B/d'][0], 9.26e-05)
self.assertIsNone(u['B/d'][1])
self.assertNotIn('h', u)
def test_allow_derivation(self):
u = unitconv.determine_compatible_units('b', 'datasize', 1, 's', 'time')
self.assertEqual(u['b'], (1.0, 'derive'))
self.assertEqual(u['B'], (8.0, 'derive'))
self.assertEqual(u['b/s'], (1.0, None))
self.assertAlmostEqual(u['B/d'][0], 9.26e-05)
self.assertIsNone(u['B/d'][1])
self.assertNotIn('h', u)
def test_compatible_to_simple_primary_type(self):
all_time_units = [pair[0] for pair in unitconv.unit_classes_by_name['time']]
u = unitconv.determine_compatible_units('s', 'time')
compatunits = u.keys()
for timeunit in all_time_units:
self.assertIn(timeunit, compatunits)
self.assertEqual(u['MM'], (60000000.0, None))
self.assertEqual(u['h'], (3600.0, None))
self.assertEqual([extra_op for (_multiplier, extra_op) in u.values()],
[None] * len(u))
def test_compatible_to_simple_primary_type(self):
all_time_units = [pair[0] for pair in unitconv.unit_classes_by_name['time']]
u = unitconv.determine_compatible_units('s', 'time', allow_integration=False)
compatunits = u.keys()
for timeunit in all_time_units:
self.assertIn(timeunit, compatunits)
self.assertEqual(u['MM'], (60000000.0, None))
self.assertEqual(u['h'], (3600.0, None))
self.assertEqual([extra_op for (_multiplier, extra_op) in u.values()],
[None] * len(u))
def run_scenario(user_asked_for, data_exists_as, allow_derivation=True,
allow_integration=False, allow_prefixes_in_denominator=False,
round_result=6):
userunit = unitconv.parse_unitname(user_asked_for)
compatibles = unitconv.determine_compatible_units(
allow_derivation=allow_derivation,
allow_integration=allow_integration,
allow_prefixes_in_denominator=allow_prefixes_in_denominator,
**userunit)
try:
scale, extra_op = compatibles[data_exists_as]
except KeyError:
return
if round_result is not None:
scale = round(scale, round_result)
return (data_exists_as, scale, extra_op)
def run_scenario(user_asked_for, data_exists_as, allow_derivation=True,
allow_integration=False, allow_prefixes_in_denominator=False,
round_result=6):
userunit = unitconv.parse_unitname(user_asked_for, fold_scale_prefix=False)
prefixclass = unitconv.prefix_class_for(userunit['scale_multiplier'])
use_unit = userunit['base_unit']
compatibles = unitconv.determine_compatible_units(
allow_derivation=allow_derivation,
allow_integration=allow_integration,
allow_prefixes_in_denominator=allow_prefixes_in_denominator,
**userunit)
try:
scale, extra_op = compatibles[data_exists_as]
except KeyError:
return
if round_result is not None:
scale = round(scale, round_result)
return (data_exists_as, use_unit, scale, extra_op, prefixclass)
def run_scenario(user_asked_for, data_exists_as, allow_derivation=True,
allow_integration=False, allow_prefixes_in_denominator=False,
round_result=6):
userunit = unitconv.parse_unitname(user_asked_for, fold_scale_prefix=False)
prefixclass = unitconv.prefix_class_for(userunit['scale_multiplier'])
use_unit = userunit['base_unit']
compatibles = unitconv.determine_compatible_units(
allow_derivation=allow_derivation,
allow_integration=allow_integration,
allow_prefixes_in_denominator=allow_prefixes_in_denominator,
**userunit)
try:
scale, extra_op = compatibles[data_exists_as]
except KeyError:
return
if round_result is not None:
scale = round(scale, round_result)
return (data_exists_as, use_unit, scale, extra_op, prefixclass)
def transform_ast_for_compatible_units(cls, ast):
if ast[0] == 'match_tag_equality' and ast[1] == 'unit':
requested_unit = ast[2]
unitinfo = unitconv.parse_unitname(requested_unit,
fold_scale_prefix=False)
prefixclass = unitconv.prefix_class_for(
unitinfo['scale_multiplier'])
use_unit = unitinfo['base_unit']
compatibles = unitconv.determine_compatible_units(**unitinfo)
# rewrite the search term to include all the alternates
ast = ('match_or', ) + tuple([('match_tag_equality', 'unit', u)
for u in compatibles.keys()])
modifiers = [
cls.convert_to_requested_unit_applier(compatibles),
cls.variable_applier(unit=use_unit)
]
if prefixclass == 'binary':
modifiers.append(
cls.graph_config_applier(suffixes=prefixclass))
return ast, modifiers
elif ast[0] in ('match_and', 'match_or'):
# recurse into subexpressions, in case they have unit=* terms
# underneath. this won't be totally correct in case there's a way
# to have multiple "unit=*" terms inside varying structures of
# 'and' and 'or', but that's not exposed to the user yet anyway,
# and auto-unit-conversion in that case probably isn't worth
# supporting.
new_target_modifiers = []
newargs = []
for sub_ast in ast[1:]:
if isinstance(sub_ast, tuple):
sub_ast, mods = cls.transform_ast_for_compatible_units(
sub_ast)
new_target_modifiers.extend(mods)
newargs.append(sub_ast)
ast = (ast[0], ) + tuple(newargs)
return ast, new_target_modifiers
return ast, []
def transform_ast_for_compatible_units(cls, ast):
if ast[0] == 'match_tag_equality' and ast[1] == 'unit':
requested_unit = ast[2]
unitinfo = unitconv.parse_unitname(requested_unit, fold_scale_prefix=False)
prefixclass = unitconv.prefix_class_for(unitinfo['scale_multiplier'])
use_unit = unitinfo['base_unit']
compatibles = unitconv.determine_compatible_units(**unitinfo)
# rewrite the search term to include all the alternates
ast = ('match_or',) + tuple(
[('match_tag_equality', 'unit', u) for u in compatibles.keys()])
modifiers = [
cls.convert_to_requested_unit_applier(compatibles),
cls.variable_applier(unit=use_unit)
]
if prefixclass == 'binary':
modifiers.append(cls.graph_config_applier(suffixes=prefixclass))
return ast, modifiers
elif ast[0] in ('match_and', 'match_or'):
# recurse into subexpressions, in case they have unit=* terms
# underneath. this won't be totally correct in case there's a way
# to have multiple "unit=*" terms inside varying structures of
# 'and' and 'or', but that's not exposed to the user yet anyway,
# and auto-unit-conversion in that case probably isn't worth
# supporting.
new_target_modifiers = []
newargs = []
for sub_ast in ast[1:]:
if isinstance(sub_ast, tuple):
sub_ast, mods = cls.transform_ast_for_compatible_units(sub_ast)
new_target_modifiers.extend(mods)
newargs.append(sub_ast)
ast = (ast[0],) + tuple(newargs)
return ast, new_target_modifiers
return ast, []
def test_allow_integration(self):
u = unitconv.determine_compatible_units('Eggnog', None, 0.125, allow_integration=True)
self.assertEqual(u['Eggnog'], (8.0, None))
self.assertAlmostEqual(u['Eggnog/h'][0], 0.0022222)
self.assertEqual(u['Eggnog/h'][1], 'integrate')
self.assertNotIn('derive', [extra_op for (_multiplier, extra_op) in u.values()])
def test_allow_integration(self):
u = unitconv.determine_compatible_units('Eggnog', None, 0.125, allow_integration=True)
self.assertEqual(u['Eggnog'], (8.0, None))
self.assertAlmostEqual(u['Eggnog/h'][0], 0.0022222)
self.assertEqual(u['Eggnog/h'][1], 'integrate')
self.assertNotIn('derive', [extra_op for (_multiplier, extra_op) in u.values()])
