mirror of https://gitlab.com/pamhyr/pamhyr2
100 lines
2.6 KiB
Python
100 lines
2.6 KiB
Python
# BoundaryConditionList.py -- Pamhyr
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# Copyright (C) 2023 INRAE
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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# -*- coding: utf-8 -*-
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from copy import copy
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from tools import trace, timer
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from Model.Tools.PamhyrList import PamhyrModelListWithTab
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from Model.Except import NotImplementedMethodeError
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from Model.BoundaryCondition.BoundaryCondition import BoundaryCondition
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from Model.BoundaryCondition.BoundaryConditionTypes import (
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NotDefined,
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PonctualContribution,
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TimeOverZ, TimeOverDischarge, ZOverDischarge,
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Solid,
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)
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class BoundaryConditionList(PamhyrModelListWithTab):
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_tabs_list = ["liquid", "solid", "suspenssion"]
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_sub_classes = [
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BoundaryCondition,
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]
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@classmethod
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def _db_load(cls, execute, data=None):
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new = cls(status=data['status'])
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if data is None:
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data = {}
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for tab in new._tabs:
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data["tab"] = tab
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new._tabs[tab] = BoundaryCondition._db_load(
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execute, data
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)
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return new
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def _db_save(self, execute, data=None):
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execute("DELETE FROM boundary_condition")
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if data is None:
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data = {}
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for tab in self._tabs:
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data["tab"] = tab
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for bc in self._tabs[tab]:
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bc._db_save(execute, data=data)
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return True
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def new(self, lst, index):
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n = NotDefined(status=self._status)
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self._tabs[lst].insert(index, n)
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self._status.modified()
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return n
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def __copy__(self):
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new = BoundaryConditionList()
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for lst in self._tabs:
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new.tabs[lst] = self._tabs[lst].copy()
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return new
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def __deepcopy__(self):
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new = BoundaryConditionList()
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for lst in self._tabs:
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new.tabs[lst] = self._tabs[lst].deepcopy()
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return new
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def copy(self):
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return copy(self)
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def get_assoc_to_node(self, tab, node):
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return next(
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filter(
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lambda i: i.node is node,
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self._tabs[tab]
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)
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)
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