add generic calc_value function
This commit is contained in:
parent
33c1666cc9
commit
05abe76932
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@ -8,7 +8,7 @@ from tiramisu.config import KernelConfig
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from tiramisu.setting import groups, owners
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from tiramisu.setting import groups, owners
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from tiramisu import ChoiceOption, BoolOption, IntOption, FloatOption, \
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from tiramisu import ChoiceOption, BoolOption, IntOption, FloatOption, \
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StrOption, OptionDescription, SymLinkOption, IPOption, NetmaskOption, Leadership, \
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StrOption, OptionDescription, SymLinkOption, IPOption, NetmaskOption, Leadership, \
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undefined, Params, ParamOption, ParamValue, ParamContext
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undefined, Params, ParamOption, ParamValue, ParamContext, calc_value
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from tiramisu.api import TIRAMISU_VERSION
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from tiramisu.api import TIRAMISU_VERSION
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from tiramisu.error import PropertiesOptionError, ConflictError, LeadershipError, ConfigError
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from tiramisu.error import PropertiesOptionError, ConflictError, LeadershipError, ConfigError
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from tiramisu.i18n import _
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from tiramisu.i18n import _
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@ -1194,3 +1194,100 @@ def test_callback_raise():
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api.option('od2.opt2').value.get()
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api.option('od2.opt2').value.get()
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except ConfigError as err:
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except ConfigError as err:
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assert '"Option 2"' in str(err)
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assert '"Option 2"' in str(err)
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def test_calc_value_simple():
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val1 = StrOption('val1', '', 'val1')
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val2 = StrOption('val2', '', callback=calc_value, callback_params=Params(ParamOption(val1)))
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od = OptionDescription('root', '', [val1, val2])
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cfg = Config(od)
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assert cfg.value.dict() == {'val1': 'val1', 'val2': 'val1'}
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def test_calc_value_multi():
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val1 = StrOption('val1', "", 'val1')
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val2 = StrOption('val2', "", 'val2')
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val3 = StrOption('val3', "", multi=True, callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), multi=ParamValue(True)))
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od = OptionDescription('root', '', [val1, val2, val3])
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cfg = Config(od)
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assert cfg.value.dict() == {'val1': 'val1', 'val2': 'val2', 'val3': ['val1', 'val2']}
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def test_calc_value_disabled():
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val1 = StrOption('val1', '', 'val1')
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val2 = StrOption('val2', '', callback=calc_value, callback_params=Params(ParamOption(val1, True), default=ParamValue('default_value')))
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od = OptionDescription('root', '', [val1, val2])
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cfg = Config(od)
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cfg.property.read_write()
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assert cfg.value.dict() == {'val1': 'val1', 'val2': 'val1'}
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cfg.option('val1').property.add('disabled')
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assert cfg.value.dict() == {'val2': 'default_value'}
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def test_calc_value_condition():
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boolean = BoolOption('boolean', '', True)
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val1 = StrOption('val1', '', 'val1')
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val2 = StrOption('val2', '', callback=calc_value, callback_params=Params(ParamOption(val1, True),
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default=ParamValue('default_value'),
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condition=ParamOption(boolean),
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expected=ParamValue(True)))
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od = OptionDescription('root', '', [boolean, val1, val2])
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cfg = Config(od)
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cfg.property.read_write()
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assert cfg.value.dict() == {'boolean': True, 'val1': 'val1', 'val2': 'val1'}
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cfg.option('boolean').value.set(False)
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assert cfg.value.dict() == {'boolean': False, 'val1': 'val1', 'val2': 'default_value'}
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def test_calc_value_allow_none():
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from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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val1 = StrOption('val1', "", 'val1')
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val2 = StrOption('val2', "")
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val3 = StrOption('val3', "", multi=True, callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), multi=ParamValue(True), allow_none=ParamValue(True)))
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od = OptionDescription('root', '', [val1, val2, val3])
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cfg = Config(od)
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assert cfg.value.dict() == {'val1': 'val1', 'val2': None, 'val3': ['val1', None]}
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def test_calc_value_remove_duplicate():
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from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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val1 = StrOption('val1', "", 'val1')
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val2 = StrOption('val2', "", 'val1')
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val3 = StrOption('val3', "", multi=True, callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), multi=ParamValue(True), remove_duplicate_value=ParamValue(True)))
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od = OptionDescription('root', '', [val1, val2, val3])
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cfg = Config(od)
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assert cfg.value.dict() == {'val1': 'val1', 'val2': 'val1', 'val3': ['val1']}
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def test_calc_value_join():
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from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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val1 = StrOption('val1', "", 'val1')
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val2 = StrOption('val2', "", 'val2')
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val3 = StrOption('val3', "", callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), join=ParamValue('.')))
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od = OptionDescription('root', '', [val1, val2, val3])
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cfg = Config(od)
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assert cfg.value.dict() == {'val1': 'val1', 'val2': 'val2', 'val3': 'val1.val2'}
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def test_calc_value_min():
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from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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val1 = StrOption('val1', "", 'val1')
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val2 = StrOption('val2', "", 'val2')
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val3 = StrOption('val3', "", 'val3')
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val4 = StrOption('val4', "", callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2), ParamOption(val3, True)), join=ParamValue('.'), min_args_len=ParamValue(3)))
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od = OptionDescription('root', '', [val1, val2, val3, val4])
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cfg = Config(od)
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cfg.property.read_write()
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assert cfg.value.dict() == {'val1': 'val1', 'val2': 'val2', 'val3': 'val3', 'val4': 'val1.val2.val3'}
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cfg.option('val3').property.add('disabled')
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assert cfg.value.dict() == {'val1': 'val1', 'val2': 'val2', 'val4': ''}
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def test_calc_value_add():
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from tiramisu import calc_value, IntOption, OptionDescription, Config, Params, ParamOption, ParamValue
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val1 = IntOption('val1', "", 1)
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val2 = IntOption('val2', "", 2)
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val3 = IntOption('val3', "", callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), operator=ParamValue('add')))
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od = OptionDescription('root', '', [val1, val2, val3])
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cfg = Config(od)
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assert cfg.value.dict() == {'val1': 1, 'val2': 2, 'val3': 3}
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@ -13,7 +13,7 @@
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# You should have received a copy of the GNU Lesser General Public License
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# You should have received a copy of the GNU Lesser General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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from .function import Params, ParamOption, ParamValue, ParamContext, \
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from .function import Params, ParamOption, ParamValue, ParamContext, \
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tiramisu_copy
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tiramisu_copy, calc_value
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from .option import *
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from .option import *
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from .error import APIError
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from .error import APIError
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from .api import Config, MetaConfig, GroupConfig, MixConfig
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from .api import Config, MetaConfig, GroupConfig, MixConfig
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@ -37,7 +37,8 @@ allfuncs = ['Params',
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'Storage',
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'Storage',
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'list_sessions',
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'list_sessions',
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'delete_session',
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'delete_session',
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'tiramisu_copy']
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'tiramisu_copy',
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'calc_value']
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allfuncs.extend(all_options)
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allfuncs.extend(all_options)
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del(all_options)
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del(all_options)
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__all__ = tuple(allfuncs)
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__all__ = tuple(allfuncs)
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@ -12,6 +12,9 @@
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#
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#
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# You should have received a copy of the GNU Lesser General Public License
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# You should have received a copy of the GNU Lesser General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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from typing import Any, List, Optional
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from operator import add, mul, sub, truediv
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from .setting import undefined
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from .i18n import _
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from .i18n import _
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@ -79,3 +82,235 @@ class ParamIndex(Param):
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def tiramisu_copy(val): # pragma: no cover
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def tiramisu_copy(val): # pragma: no cover
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return val
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return val
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def calc_value(*args: List[Any],
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multi: bool=False,
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default: Any=undefined,
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condition: Any=undefined,
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expected: Any=undefined,
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condition_operator: str='AND',
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allow_none: bool=False,
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remove_duplicate_value: bool=False,
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join: Optional[str]=None,
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min_args_len: Optional[int]=None,
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operator: Optional[str]=None,
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**kwargs) -> Any:
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"""calculate value
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:param multi: value returns must be a list of value
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:param default: default value if condition is not matched or if args is empty
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if there is more than one default value, set default_0, default_1, ...
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:param condition: test if condition is equal to expected value
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if there is more than one condition, set condition_0, condition_1, ...
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:param expected: value expected for all conditions
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if expected value is different between condition, set expected_0, expected_1, ...
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:param condition_operator: OR or AND operator for condition
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:param allow_none: if False, do not return list in None is present in list
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:param remove_duplicate_value: if True, remote duplicated value
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:param join: join all args with specified characters
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:param min_args_len: if number of arguments is smaller than this value, return default value
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:param operator: operator
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examples:
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* you want to copy value from an option to an other option:
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>>> from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption
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>>> val1 = StrOption('val1', '', 'val1')
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>>> val2 = StrOption('val2', '', callback=calc_value, callback_params=Params(ParamOption(val1)))
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>>> od = OptionDescription('root', '', [val1, val2])
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>>> cfg = Config(od)
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': 'val1'}
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* you want to copy values from two options in one multi option
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>>> from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> val1 = StrOption('val1', "", 'val1')
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>>> val2 = StrOption('val2', "", 'val2')
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>>> val3 = StrOption('val3', "", multi=True, callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), multi=ParamValue(True)))
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>>> od = OptionDescription('root', '', [val1, val2, val3])
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>>> cfg = Config(od)
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': 'val2', 'val3': ['val1', 'val2']}
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* you want to copy a value from an option is it not disabled, otherwise set 'default_value'
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>>> from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> val1 = StrOption('val1', '', 'val1')
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>>> val2 = StrOption('val2', '', callback=calc_value, callback_params=Params(ParamOption(val1, True), default=ParamValue('default_value')))
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>>> od = OptionDescription('root', '', [val1, val2])
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>>> cfg = Config(od)
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>>> cfg.property.read_write()
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': 'val1'}
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>>> cfg.option('val1').property.add('disabled')
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>>> cfg.value.dict()
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{'val2': 'default_value'}
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* you want to copy value from an option is an other is True, otherwise set 'default_value'
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>>> from tiramisu import calc_value, BoolOption, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> boolean = BoolOption('boolean', '', True)
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>>> val1 = StrOption('val1', '', 'val1')
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>>> val2 = StrOption('val2', '', callback=calc_value, callback_params=Params(ParamOption(val1, True),
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... default=ParamValue('default_value'),
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... condition=ParamOption(boolean),
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... expected=ParamValue(True)))
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>>> od = OptionDescription('root', '', [boolean, val1, val2])
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>>> cfg = Config(od)
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>>> cfg.property.read_write()
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>>> cfg.value.dict()
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{'boolean': True, 'val1': 'val1', 'val2': 'val1'}
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>>> cfg.option('boolean').value.set(False)
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>>> cfg.value.dict()
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{'boolean': False, 'val1': 'val1', 'val2': 'default_value'}
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* you want to copy option even if None is present
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>>> from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> val1 = StrOption('val1', "", 'val1')
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>>> val2 = StrOption('val2', "")
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>>> val3 = StrOption('val3', "", multi=True, callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), multi=ParamValue(True), allow_none=ParamValue(True)))
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>>> od = OptionDescription('root', '', [val1, val2, val3])
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>>> cfg = Config(od)
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': None, 'val3': ['val1', None]}
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* you want uniq value
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>>> from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> val1 = StrOption('val1', "", 'val1')
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>>> val2 = StrOption('val2', "", 'val1')
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>>> val3 = StrOption('val3', "", multi=True, callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), multi=ParamValue(True), remove_duplicate_value=ParamValue(True)))
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>>> od = OptionDescription('root', '', [val1, val2, val3])
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>>> cfg = Config(od)
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': 'val1', 'val3': ['val1']}
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* you want to join two values with '.'
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>>> from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> val1 = StrOption('val1', "", 'val1')
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>>> val2 = StrOption('val2', "", 'val2')
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>>> val3 = StrOption('val3', "", callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), join=ParamValue('.')))
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>>> od = OptionDescription('root', '', [val1, val2, val3])
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>>> cfg = Config(od)
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': 'val2', 'val3': 'val1.val2'}
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* you want join three values, only if almost three values are set
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>>> from tiramisu import calc_value, StrOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> val1 = StrOption('val1', "", 'val1')
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>>> val2 = StrOption('val2', "", 'val2')
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>>> val3 = StrOption('val3', "", 'val3')
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>>> val4 = StrOption('val4', "", callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2), ParamOption(val3, True)), join=ParamValue('.'), min_args_len=ParamValue(3)))
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>>> od = OptionDescription('root', '', [val1, val2, val3, val4])
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>>> cfg = Config(od)
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>>> cfg.property.read_write()
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': 'val2', 'val3': 'val3', 'val4': 'val1.val2.val3'}
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>>> cfg.option('val3').property.add('disabled')
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>>> cfg.value.dict()
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{'val1': 'val1', 'val2': 'val2', 'val4': ''}
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* you want to add all values
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>>> from tiramisu import calc_value, IntOption, OptionDescription, Config, Params, ParamOption, ParamValue
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>>> val1 = IntOption('val1', "", 1)
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>>> val2 = IntOption('val2', "", 2)
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>>> val3 = IntOption('val3', "", callback=calc_value, callback_params=Params((ParamOption(val1), ParamOption(val2)), operator=ParamValue('add')))
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>>> od = OptionDescription('root', '', [val1, val2, val3])
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>>> cfg = Config(od)
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>>> cfg.value.dict()
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{'val1': 1, 'val2': 2, 'val3': 3}
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"""
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def value_from_kwargs(value: Any, pattern: str, to_dict: bool=False) -> Any:
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# if value attribute exist return it's value
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# otherwise pattern_0, pattern_1, ...
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# otherwise undefined
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if value is not undefined:
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if to_dict == 'all':
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returns = {0: value}
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else:
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returns = value
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else:
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kwargs_matches = {}
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len_pattern = len(pattern)
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for key in kwargs.keys():
|
||||||
|
if key.startswith(pattern):
|
||||||
|
index = int(key[len_pattern:])
|
||||||
|
kwargs_matches[index] = kwargs[key]
|
||||||
|
if not kwargs_matches:
|
||||||
|
return undefined
|
||||||
|
keys = sorted(kwargs_matches)
|
||||||
|
if to_dict:
|
||||||
|
returns = {}
|
||||||
|
else:
|
||||||
|
returns = []
|
||||||
|
for key in keys:
|
||||||
|
if to_dict:
|
||||||
|
returns[key] = kwargs_matches[key]
|
||||||
|
else:
|
||||||
|
returns.append(kwargs_matches[key])
|
||||||
|
return returns
|
||||||
|
|
||||||
|
def is_condition_matches():
|
||||||
|
calculated_conditions = value_from_kwargs(condition, 'condition_', to_dict='all')
|
||||||
|
if condition is not undefined:
|
||||||
|
is_matches = None
|
||||||
|
calculated_expected = value_from_kwargs(expected, 'expected_', to_dict=True)
|
||||||
|
for idx, calculated_condition in calculated_conditions.items():
|
||||||
|
if isinstance(calculated_expected, dict):
|
||||||
|
current_matches = calculated_condition == calculated_expected[idx]
|
||||||
|
else:
|
||||||
|
current_matches = calculated_condition == calculated_expected
|
||||||
|
if is_matches is None:
|
||||||
|
is_matches = current_matches
|
||||||
|
elif condition_operator == 'AND':
|
||||||
|
is_matches = is_matches and current_matches
|
||||||
|
elif condition_operator == 'OR':
|
||||||
|
is_matches = is_matches or current_matches
|
||||||
|
else:
|
||||||
|
raise ValueError(_('unexpected {} condition_operator in calc_value').format(condition_operator))
|
||||||
|
else:
|
||||||
|
is_matches = True
|
||||||
|
return is_matches
|
||||||
|
|
||||||
|
def get_value():
|
||||||
|
if not is_condition_matches():
|
||||||
|
# force to default
|
||||||
|
value = []
|
||||||
|
else:
|
||||||
|
value = list(args)
|
||||||
|
if min_args_len and not len(value) >= min_args_len:
|
||||||
|
value = []
|
||||||
|
if value == []:
|
||||||
|
# default value
|
||||||
|
new_default = value_from_kwargs(default, 'default_')
|
||||||
|
if new_default is not undefined:
|
||||||
|
if not isinstance(new_default, list):
|
||||||
|
value = [new_default]
|
||||||
|
else:
|
||||||
|
value = new_default
|
||||||
|
return value
|
||||||
|
|
||||||
|
value = get_value()
|
||||||
|
if not multi:
|
||||||
|
if join is not None:
|
||||||
|
value = join.join(value)
|
||||||
|
elif value and operator:
|
||||||
|
new_value = value[0]
|
||||||
|
op = {'mul': mul,
|
||||||
|
'add': add,
|
||||||
|
'div': truediv,
|
||||||
|
'sub': sub}[operator]
|
||||||
|
for val in value[1:]:
|
||||||
|
new_value = op(new_value, val)
|
||||||
|
value = new_value
|
||||||
|
elif value == []:
|
||||||
|
value = None
|
||||||
|
else:
|
||||||
|
value = value[0]
|
||||||
|
elif None in value and not allow_none:
|
||||||
|
value = []
|
||||||
|
elif remove_duplicate_value:
|
||||||
|
new_value = []
|
||||||
|
for val in value:
|
||||||
|
if val not in new_value:
|
||||||
|
new_value.append(val)
|
||||||
|
value = new_value
|
||||||
|
return value
|
||||||
|
|
Loading…
Reference in New Issue