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@ -16,9 +16,9 @@
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# -*- coding: utf-8 -*-
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import os, glob
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import os
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import glob
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import logging
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from http.cookiejar import reach
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import numpy as np
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@ -44,6 +44,7 @@ from itertools import chain
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logger = logging.getLogger()
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def adists_file_open(filepath, mode):
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f = open(filepath, mode)
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@ -60,6 +61,7 @@ def adists_file_open(filepath, mode):
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return f
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class AdisTS(CommandLineSolver):
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_type = "adists"
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@ -137,7 +139,9 @@ class AdisTS(CommandLineSolver):
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self._export_REP_additional_lines(study, f)
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path_mage_net = os.path.join(os.path.abspath(os.path.join(repertory, os.pardir)), f"{mage_rep}/net")
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path_mage_net = os.path.join(os.path.abspath(
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os.path.join(repertory, os.pardir)
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), f"{mage_rep}/net")
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path_adists_net = os.path.join(repertory, "net")
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if os.path.exists(path_mage_net):
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@ -194,7 +198,7 @@ class AdisTS(CommandLineSolver):
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_nodes_views = set()
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def get_reach_name(self, reach):
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return f"Reach_{reach.id:>3}".replace(" ", "0")
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return f"Reach_{reach.id:>3}".replace(" ", "0")
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def get_node_name(self, node):
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"""Generate a 3 char name for node
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@ -207,10 +211,10 @@ class AdisTS(CommandLineSolver):
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"""
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n = node.id
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##print("node name id: ", n)
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# print("node name id: ", n)
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##if n in self._nodes_names:
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##return self._nodes_names[n]
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# if n in self._nodes_names:
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# return self._nodes_names[n]
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name = ""
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@ -279,33 +283,49 @@ class AdisTSwc(AdisTS):
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for pollutant in pollutants:
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name = pollutant.name
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with adists_file_open(os.path.join(repertory, f"{name}.POL"), "w+") as f:
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with adists_file_open(
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os.path.join(repertory, f"{name}.POL"), "w+"
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) as f:
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files.append(f"{name}.POL")
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f.write(f"name = {name}\n")
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self._export_POL_Characteristics(study, pollutant._data, f, qlog)
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self._export_POL_Characteristics(
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study, pollutant._data, f, qlog
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)
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POL_ICs = next(filter(lambda ic: ic.pollutant == pollutant.id,\
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study.river.initial_conditions_adists.Initial_Conditions_List))
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POL_ICs = next(filter(
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lambda ic: ic.pollutant == pollutant.id,
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study.river.ic_adists.Initial_Conditions_List
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))
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if POL_ICs.concentration != None:
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if POL_ICs.concentration is not None:
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f.write(f"file_ini = {name}.INI\n")
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self._export_ICs_AdisTS(study, repertory, POL_ICs, qlog, name)
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self._export_ICs_AdisTS(
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study, repertory, POL_ICs, qlog, name
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)
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POL_BCs = list(filter(lambda bc: bc.pollutant == pollutant.id,\
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study.river.boundary_conditions_adists.BCs_AdisTS_List))
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POL_BCs = list(filter(
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lambda bc: bc.pollutant == pollutant.id,
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study.river.boundary_conditions_adists.BCs_AdisTS_List
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))
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if len(POL_BCs) != 0:
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f.write(f"file_cl = {name}.CDT\n")
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self._export_BCs_AdisTS(study, repertory, POL_BCs, qlog, name)
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self._export_BCs_AdisTS(
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study, repertory, POL_BCs, qlog, name
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)
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POL_LAT_Cont = list(filter(lambda lc: lc.pollutant == pollutant.id,\
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study.river.lateral_contributions_adists.Lat_Cont_List))
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POL_LAT_Cont = list(filter(
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lambda lc: lc.pollutant == pollutant.id,
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study.river.lateral_contributions_adists.Lat_Cont_List
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))
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if len(POL_LAT_Cont) != 0:
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f.write(f"file_ald = {name}.ALD\n")
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f.write(f"*\n")
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self._export_Lat_AdisTS(study, repertory, POL_LAT_Cont, qlog, name)
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self._export_Lat_AdisTS(
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study, repertory, POL_LAT_Cont, qlog, name
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)
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return files
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@ -314,16 +334,22 @@ class AdisTSwc(AdisTS):
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if qlog is not None:
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qlog.put("Export POL LCs files")
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with adists_file_open(os.path.join(repertory, f"{POL_name}.ALD"), "w+") as f:
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with adists_file_open(
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os.path.join(repertory, f"{POL_name}.ALD"), "w+"
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) as f:
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for LC in POL_LC:
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reach = next(filter(lambda edge: edge.id == LC.edge, study.river.edges())) #.name
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reach = next(filter(
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lambda edge: edge.id == LC.edge, study.river.edges()
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)) # .name
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reach_name = self.get_reach_name(self, reach)
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f.write(f"${reach_name} {LC.begin_rk} {LC.end_rk}\n")
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f.write(f"*temps |débit massique (kg/s)\n")
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f.write(f"*---------++++++++++\n")
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for LC_data in LC._data:
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f.write(f"{timestamp_to_old_pamhyr_date_adists(int(LC_data[0]))} {LC_data[1]}\n")
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tmp = timestamp_to_old_pamhyr_date_adists(int(LC_data[0]))
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f.write(" ".join((f"{tmp}",
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f"{LC_data[1]}\n")))
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f.write(f"*\n")
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return True
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@ -333,11 +359,17 @@ class AdisTSwc(AdisTS):
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if qlog is not None:
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qlog.put("Export POL BCs files")
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with adists_file_open(os.path.join(repertory, f"{POL_name}.CDT"), "w+") as f:
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with adists_file_open(os.path.join(
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repertory, f"{POL_name}.CDT"), "w+"
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) as f:
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for BC in POL_BC:
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node = next(filter(lambda x: x.id == BC.node, study.river._nodes)) #.name
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print("node name in BC:", node, node.name, self.get_node_name(node))
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node_name = node.name #self.get_node_name(node)
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node = next(filter(
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lambda x: x.id == BC.node, study.river._nodes
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)) # .name
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print("node name in BC:",
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node, node.name,
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self.get_node_name(node))
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node_name = node.name # self.get_node_name(node)
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f.write(f"${node_name}\n")
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if BC.type == "Concentration":
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@ -350,39 +382,59 @@ class AdisTSwc(AdisTS):
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f.write(f"*---------++++++++++\n")
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for BC_data in BC._data:
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f.write(f"{timestamp_to_old_pamhyr_date_adists(int(BC_data[0]))} {BC_data[1]}\n")
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tmp = timestamp_to_old_pamhyr_date_adists(int(BC_data[0]))
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f.write(" ".join((f"{tmp}",
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f"{BC_data[1]}\n")))
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f.write(f"*\n")
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return True
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def _export_ICs_AdisTS(self, study, repertory, POL_IC_default, qlog, POL_name):
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def _export_ICs_AdisTS(self, study, repertory,
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POL_IC_default, qlog, POL_name):
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if qlog is not None:
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qlog.put("Export POL ICs files")
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with adists_file_open(os.path.join(repertory, f"{POL_name}.INI"), "w+") as f:
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with adists_file_open(os.path.join(
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repertory, f"{POL_name}.INI"
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), "w+") as f:
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f.write(f"*État initial pour le polluant {POL_name}\n")
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f.write(f"DEFAULT = {POL_IC_default.concentration} {POL_IC_default.eg} "+
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f"{POL_IC_default.em} {POL_IC_default.ed}\n")
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f.write(" ".join(("DEFAULT =",
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f"{POL_IC_default.concentration}",
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f"{POL_IC_default.eg}",
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f"{POL_IC_default.em}",
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f"{POL_IC_default.ed}\n")))
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if len(POL_IC_default._data) != 0:
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self._export_ICs_AdisTS_Spec(study, POL_IC_default._data, f, qlog)
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self._export_ICs_AdisTS_Spec(
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study, POL_IC_default._data, f, qlog
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)
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def _export_ICs_AdisTS_Spec(self, study, pol_ics_spec_data, f, qlog, name="0"):
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def _export_ICs_AdisTS_Spec(self, study, pol_ics_spec_data,
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f, qlog, name="0"):
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for ic_spec in pol_ics_spec_data:
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f.write(f"{ic_spec.name} = {ic_spec.reach} {ic_spec.start_rk} {ic_spec.end_rk} " +
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f"{ic_spec.concentration} {ic_spec.eg} {ic_spec.em} {ic_spec.ed} {ic_spec.rate}")
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f.write(" ".join((f"{ic_spec.name}",
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"=",
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f"{ic_spec.reach}",
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f"{ic_spec.start_rk}",
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f"{ic_spec.end_rk}",
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f"{ic_spec.concentration}",
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f"{ic_spec.eg}",
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f"{ic_spec.em}",
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f"{ic_spec.ed}",
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f"{ic_spec.rate}\n")))
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return True
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def _export_POL_Characteristics(self, study, pol_data, f, qlog, name="0"):
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list_characteristics = ["type", "diametre", "rho", "porosity", "cdc_riv", "cdc_cas", "apd", "ac", "bc"]
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list_characteristics = ["type", "diametre", "rho", "porosity",
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"cdc_riv", "cdc_cas", "apd", "ac", "bc"]
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if len(list_characteristics) == (len(pol_data[0])-1):
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for l in range(len(list_characteristics)):
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f.write(f"{list_characteristics[l]} = {pol_data[0][l]}\n")
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for i in range(len(list_characteristics)):
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f.write(f"{list_characteristics[i]} = {pol_data[0][i]}\n")
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def _export_D90(self, study, repertory, qlog=None, name="0"):
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@ -391,7 +443,9 @@ class AdisTSwc(AdisTS):
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if qlog is not None:
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qlog.put("Export D90 file")
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with adists_file_open(os.path.join(repertory, f"{name}.D90"), "w+") as f:
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with adists_file_open(
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os.path.join(repertory, f"{name}.D90"), "w+"
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) as f:
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files.append(f"{name}.D90")
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f.write(f"*Diamètres caractéristiques du fond stable\n")
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@ -407,8 +461,11 @@ class AdisTSwc(AdisTS):
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def _export_d90_spec(self, study, d90_spec_data, f, qlog, name="0"):
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for d90_spec in d90_spec_data:
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if (d90_spec.name is None) or (d90_spec.reach is None) or (d90_spec.start_rk is None) or \
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(d90_spec.end_rk is None) or (d90_spec.d90 is None):
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if (d90_spec.name is None
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or d90_spec.reach is None
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or d90_spec.start_rk is None
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or d90_spec.end_rk is None
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or d90_spec.d90 is None):
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return
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edges = study.river.enable_edges()
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@ -420,7 +477,12 @@ class AdisTSwc(AdisTS):
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if id_reach not in id_edges:
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return
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f.write(f"{d90_spec.name} = {id_reach} {d90_spec.start_rk} {d90_spec.end_rk} {d90_spec.d90}\n")
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f.write(" ".join((f"{d90_spec.name}",
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"=",
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f"{id_reach}",
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f"{d90_spec.start_rk}",
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f"{d90_spec.end_rk}",
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f"{d90_spec.d90}\n")))
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def _export_DIF(self, study, repertory, qlog=None, name="0"):
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@ -429,7 +491,9 @@ class AdisTSwc(AdisTS):
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if qlog is not None:
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qlog.put("Export DIF file")
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with adists_file_open(os.path.join(repertory, f"{name}.DIF"), "w+") as f:
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with adists_file_open(
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os.path.join(repertory, f"{name}.DIF"), "w+"
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) as f:
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|
files.append(f"{name}.DIF")
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f.write(f"*Définition des paramètres des fonctions de calcul du\n")
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@ -438,9 +502,15 @@ class AdisTSwc(AdisTS):
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difAdisTS = study.river.dif_adists.DIF_AdisTS_List
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if difAdisTS[0].method != "generique":
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f.write(f"defaut = {difAdisTS[0].method} {difAdisTS[0].dif }\n")
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f.write(" ".join((f"defaut = ",
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f"{difAdisTS[0].method}",
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f"{difAdisTS[0].dif}\n")))
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else:
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f.write(f"defaut = {difAdisTS[0].method} {difAdisTS[0].dif} {difAdisTS[0].b} {difAdisTS[0].c}\n")
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f.write(" ".join((f"defaut ="
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f"{difAdisTS[0].method}",
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f"{difAdisTS[0].dif}",
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f"{difAdisTS[0].b}",
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f"{difAdisTS[0].c}\n")))
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self._export_dif_spec(study, difAdisTS[0]._data, f, qlog)
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@ -449,8 +519,12 @@ class AdisTSwc(AdisTS):
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def _export_dif_spec(self, study, dif_spec_data, f, qlog, name="0"):
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for dif_spec in dif_spec_data:
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if (dif_spec.reach is None) or (dif_spec.start_rk is None) or \
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(dif_spec.end_rk is None) or (dif_spec.dif is None) or (dif_spec.b is None) or (dif_spec.c is None):
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if (dif_spec.reach is None
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or dif_spec.start_rk is None
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or dif_spec.end_rk is None
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or dif_spec.dif is None
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or dif_spec.b is None
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or dif_spec.c is None):
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return
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edges = study.river.enable_edges()
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@ -463,28 +537,40 @@ class AdisTSwc(AdisTS):
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return
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if dif_spec.method != "generique":
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f.write(f"{dif_spec.method} = {id_reach} {dif_spec.start_rk} {dif_spec.end_rk} {dif_spec.dif}\n")
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f.write(" ".join((f"{dif_spec.method}",
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"=",
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f"{id_reach}",
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f"{dif_spec.start_rk}",
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f"{dif_spec.end_rk}",
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f"{dif_spec.dif}\n")))
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else:
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f.write(f"{dif_spec.method} = {id_reach} {dif_spec.start_rk} {dif_spec.end_rk} {dif_spec.dif}" +
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|
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f"{dif_spec.b} {dif_spec.c}\n")
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|
f.write(" ".join((f"{dif_spec.method}",
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|
f"=" f"{id_reach}",
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f"{dif_spec.start_rk}",
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f"{dif_spec.end_rk}",
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|
f"{dif_spec.dif}",
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f"{dif_spec.b}",
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|
|
f"{dif_spec.c}\n")))
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|
def _export_NUM(self, study, repertory, qlog=None, name="0"):
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|
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|
|
dict_names = {"init_time":"start_date",
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|
|
"final_time":"end_date",
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|
|
"timestep":"dt0",
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|
|
"implicitation_parameter":"theta",
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|
|
|
"timestep_screen":"dtscr",
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|
|
"timestep_bin":"dtbin",
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|
|
|
"timestep_csv":"dtcsv",
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|
|
|
"timestep_mage":"dtMage",
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|
|
|
|
"initial_concentration":"c_initiale"}
|
|
|
|
|
dict_names = {"init_time": "start_date",
|
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|
|
|
"final_time": "end_date",
|
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|
|
|
"timestep": "dt0",
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|
|
"implicitation_parameter": "theta",
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|
|
"timestep_screen": "dtscr",
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|
|
"timestep_bin": "dtbin",
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|
|
"timestep_csv": "dtcsv",
|
|
|
|
|
"timestep_mage": "dtMage",
|
|
|
|
|
"initial_concentration": "c_initiale"}
|
|
|
|
|
files = []
|
|
|
|
|
|
|
|
|
|
if qlog is not None:
|
|
|
|
|
qlog.put("Export NUM file")
|
|
|
|
|
|
|
|
|
|
with adists_file_open(os.path.join(repertory, f"{name}.NUM"), "w+") as f:
|
|
|
|
|
with adists_file_open(
|
|
|
|
|
os.path.join(repertory, f"{name}.NUM"), "w+"
|
|
|
|
|
) as f:
|
|
|
|
|
files.append(f"{name}.NUM")
|
|
|
|
|
|
|
|
|
|
params = study.river.get_params(self.type).parameters
|
|
|
|
|
@ -509,7 +595,9 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
return files
|
|
|
|
|
|
|
|
|
|
def _export_outputrk(self, study, outputrk, f, qlog, name="0"):
|
|
|
|
|
if (outputrk.reach is None) or (outputrk.rk is None) or (outputrk.title is None):
|
|
|
|
|
if (outputrk.reach is None
|
|
|
|
|
or outputrk.rk is None
|
|
|
|
|
or outputrk.title is None):
|
|
|
|
|
return
|
|
|
|
|
|
|
|
|
|
edges = study.river.enable_edges()
|
|
|
|
|
@ -529,7 +617,8 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
def read_bin(self, study, repertory, results, qlog=None, name="0"):
|
|
|
|
|
repertory_results = os.path.join(repertory, "resultats")
|
|
|
|
|
|
|
|
|
|
files_bin_names = [el.split("/")[-1] for el in glob.glob(repertory_results+"/*.bin")]
|
|
|
|
|
files_bin_names = [el.split("/")[-1]
|
|
|
|
|
for el in glob.glob(repertory_results+"/*.bin")]
|
|
|
|
|
print("files names resultats: ", files_bin_names)
|
|
|
|
|
|
|
|
|
|
ifilename = os.path.join(repertory_results, files_bin_names[0])
|
|
|
|
|
@ -540,18 +629,18 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
with open(ifilename, 'rb') as f:
|
|
|
|
|
# header
|
|
|
|
|
# first line
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=3)
|
|
|
|
|
ibmax = data[0] # number of reaches
|
|
|
|
|
ismax = data[1] # total number of cross sections
|
|
|
|
|
kbl = data[2] * -1 # block size for .BIN header
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# second line
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
ibu = np.fromfile(f, dtype=np.int32, count=ibmax)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# third line
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=2 * ibmax)
|
|
|
|
|
is1 = np.zeros(ibmax, dtype=np.int32)
|
|
|
|
|
is2 = np.zeros(ibmax, dtype=np.int32)
|
|
|
|
|
@ -572,7 +661,7 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
r = results.river.add(i)
|
|
|
|
|
reachs.append(r)
|
|
|
|
|
|
|
|
|
|
is1[i] = data[2 * i] - 1 # first section of reach i
|
|
|
|
|
is1[i] = data[2 * i] - 1 # first section of reach i
|
|
|
|
|
is2[i] = data[2 * i + 1] - 1 # last section of reach i
|
|
|
|
|
|
|
|
|
|
key = (is1[i], is2[i])
|
|
|
|
|
@ -582,33 +671,40 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
|
|
|
|
|
logger.debug(f"read_bin: iprofiles = {iprofiles}")
|
|
|
|
|
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# fourth line
|
|
|
|
|
pk = np.zeros(ismax, dtype=np.float32)
|
|
|
|
|
for k in range(0, ismax, kbl):
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
pk[k:min(k + kbl, ismax)] = np.fromfile(f, dtype=np.float32, count=min(k + kbl, ismax) - k)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
pk[k:min(k + kbl, ismax)] = np.fromfile(f,
|
|
|
|
|
dtype=np.float32,
|
|
|
|
|
count=min(
|
|
|
|
|
k + kbl, ismax
|
|
|
|
|
) - k)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
|
|
|
|
|
# fifth line (useless)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
zmin_OLD = np.fromfile(f, dtype=np.float32, count=1)[0]
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# sixth line
|
|
|
|
|
zf = np.zeros(ismax, dtype=np.float32)
|
|
|
|
|
z = np.zeros(ismax * 3, dtype=np.float32)
|
|
|
|
|
for k in range(0, ismax, kbl):
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
z[3 * k:3 * min(k + kbl, ismax)] = np.fromfile(f, dtype=np.float32,
|
|
|
|
|
count=3 * (min(k + kbl, ismax) - k))
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
z[3 * k:3 * min(k + kbl, ismax)] = \
|
|
|
|
|
np.fromfile(f,
|
|
|
|
|
dtype=np.float32,
|
|
|
|
|
count=3 * (min(k + kbl, ismax) - k)
|
|
|
|
|
)
|
|
|
|
|
# z[i*3+1] and z[i*3+2] are useless
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
zf = [z[i * 3] for i in range(ismax)]
|
|
|
|
|
# seventh line (useless)
|
|
|
|
|
for k in range(0, ismax, kbl):
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
zero = np.fromfile(f, dtype=np.int32, count=ismax)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# end header
|
|
|
|
|
|
|
|
|
|
def ip_to_r(i):
|
|
|
|
|
@ -623,7 +719,8 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
|
|
|
|
|
def ip_to_ri(r, i): return i - reach_offset[r]
|
|
|
|
|
|
|
|
|
|
path_files = map(lambda file: os.path.join(repertory_results, file), files_bin_names)
|
|
|
|
|
path_files = map(lambda file: os.path.join(
|
|
|
|
|
repertory_results, file), files_bin_names)
|
|
|
|
|
|
|
|
|
|
data_tmp = {}
|
|
|
|
|
|
|
|
|
|
@ -633,57 +730,63 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
with open(file_bin, 'rb') as f:
|
|
|
|
|
# header
|
|
|
|
|
# first line
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=3)
|
|
|
|
|
ibmax = data[0] # number of reaches
|
|
|
|
|
ismax = data[1] # total number of cross sections
|
|
|
|
|
kbl = data[2] * -1 # block size for .BIN header
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# second line
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
ibu = np.fromfile(f, dtype=np.int32, count=ibmax)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# third line
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=2 * ibmax)
|
|
|
|
|
is1 = np.zeros(ibmax, dtype=np.int32)
|
|
|
|
|
is2 = np.zeros(ibmax, dtype=np.int32)
|
|
|
|
|
for i in range(ibmax):
|
|
|
|
|
is1[i] = data[2 * i] # first section of reach i (FORTRAN numbering)
|
|
|
|
|
is2[i] = data[2 * i + 1] # last section of reach i (FORTRAN numbering)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
# first section of reach i (FORTRAN numbering)
|
|
|
|
|
is1[i] = data[2 * i]
|
|
|
|
|
# last section of reach i (FORTRAN numbering)
|
|
|
|
|
is2[i] = data[2 * i + 1]
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# fourth line
|
|
|
|
|
pk = np.zeros(ismax, dtype=np.float32)
|
|
|
|
|
for k in range(0, ismax, kbl):
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
pk[k:min(k + kbl, ismax)] = np.fromfile(f, dtype=np.float32, count=min(k + kbl, ismax) - k)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
pk[k:min(k + kbl, ismax)] = np.fromfile(
|
|
|
|
|
f, dtype=np.float32, count=min(k + kbl, ismax) - k
|
|
|
|
|
)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# fifth line (useless)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
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|
zmin_OLD = np.fromfile(f, dtype=np.float32, count=1)[0]
|
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|
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|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
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|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# sixth line
|
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|
|
|
zf = np.zeros(ismax, dtype=np.float32)
|
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|
z = np.zeros(ismax * 3, dtype=np.float32)
|
|
|
|
|
for k in range(0, ismax, kbl):
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
z[3 * k:3 * min(k + kbl, ismax)] = np.fromfile(f, dtype=np.float32,
|
|
|
|
|
count=3 * (min(k + kbl, ismax) - k))
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
z[3 * k:3 * min(k + kbl, ismax)] = np.fromfile(
|
|
|
|
|
f, dtype=np.float32,
|
|
|
|
|
count=3 * (min(k + kbl, ismax) - k)
|
|
|
|
|
)
|
|
|
|
|
# z[i*3+1] and z[i*3+2] are useless
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
zf = [z[i * 3] for i in range(ismax)]
|
|
|
|
|
# seventh line (useless)
|
|
|
|
|
for k in range(0, ismax, kbl):
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
zero = np.fromfile(f, dtype=np.int32, count=ismax)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
# end header
|
|
|
|
|
# data
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
while data.size > 0:
|
|
|
|
|
ismax = np.fromfile(f, dtype=np.int32, count=1)[0]
|
|
|
|
|
t = np.fromfile(f, dtype=np.float64, count=1)[0]
|
|
|
|
|
if not t in data_tmp[key_pol]:
|
|
|
|
|
if t not in data_tmp[key_pol]:
|
|
|
|
|
data_tmp[key_pol][t] = {}
|
|
|
|
|
c = np.fromfile(f, dtype=np.byte, count=1)
|
|
|
|
|
# possible values :
|
|
|
|
|
@ -692,61 +795,63 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
phys_var = bytearray(c).decode()
|
|
|
|
|
data_tmp[key_pol][t][phys_var] = {}
|
|
|
|
|
real_data = np.fromfile(f, dtype=np.float32, count=ismax)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (end)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (end)
|
|
|
|
|
data_tmp[key_pol][t][phys_var] = real_data
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # line length (bytes) (start)
|
|
|
|
|
data = np.fromfile(f, dtype=np.int32, count=1) # (start)
|
|
|
|
|
# end data
|
|
|
|
|
|
|
|
|
|
###print("dta tmp AAA")
|
|
|
|
|
###print("-----------")
|
|
|
|
|
###print(data_tmp["AAA-silt"])
|
|
|
|
|
|
|
|
|
|
pollutants_keys = list(data_tmp.keys())
|
|
|
|
|
timestamps_keys = list(data_tmp[pollutants_keys[0]].keys())
|
|
|
|
|
phys_data_names = list(data_tmp[pollutants_keys[0]][timestamps_keys[0]].keys())
|
|
|
|
|
phys_data_names = list(data_tmp[pollutants_keys[0]]
|
|
|
|
|
[timestamps_keys[0]].keys())
|
|
|
|
|
type_pol_index = len(phys_data_names)
|
|
|
|
|
|
|
|
|
|
###print("pol keys: ", pollutants_keys)
|
|
|
|
|
###print("t keys: ", timestamps_keys)
|
|
|
|
|
###print("phys var: ", phys_data_names)
|
|
|
|
|
###print("phys data names mass zero:", list(data_tmp[pollutants_keys[1]][timestamps_keys[0]].keys()))
|
|
|
|
|
#print("set timestamps keys: ", set(timestamps_keys))
|
|
|
|
|
#print("isma")
|
|
|
|
|
###print("iprofiles: ", iprofiles)
|
|
|
|
|
# ##print("pol keys: ", pollutants_keys)
|
|
|
|
|
# ##print("t keys: ", timestamps_keys)
|
|
|
|
|
# ##print("phys var: ", phys_data_names)
|
|
|
|
|
# ##print("phys data names mass zero:",
|
|
|
|
|
# list(data_tmp[pollutants_keys[1]][timestamps_keys[0]].keys()))
|
|
|
|
|
# print("set timestamps keys: ", set(timestamps_keys))
|
|
|
|
|
# print("isma")
|
|
|
|
|
# ##print("iprofiles: ", iprofiles)
|
|
|
|
|
|
|
|
|
|
print("reading bin files is ok =======")
|
|
|
|
|
|
|
|
|
|
for i in range(ismax):
|
|
|
|
|
#print("first i: ", i)
|
|
|
|
|
# print("first i: ", i)
|
|
|
|
|
reach = ip_to_r(i)
|
|
|
|
|
#print("reach i:", reach)
|
|
|
|
|
#print("second i: ", i)
|
|
|
|
|
# print("reach i:", reach)
|
|
|
|
|
# print("second i: ", i)
|
|
|
|
|
p_i = ip_to_ri(reach, i)
|
|
|
|
|
|
|
|
|
|
for t_data in timestamps_keys:
|
|
|
|
|
pol_view = []
|
|
|
|
|
for pol in pollutants_keys:
|
|
|
|
|
#print("pol results: ", type(list(data_tmp[pol][t_data].values())))
|
|
|
|
|
pol_view.append(tuple( list(map(lambda data_el: data_el[p_i], list(data_tmp[pol][t_data].values()))) ))
|
|
|
|
|
# print("pol results: ",
|
|
|
|
|
# type(list(data_tmp[pol][t_data].values())))
|
|
|
|
|
pol_view.append(tuple(list(map(
|
|
|
|
|
lambda data_el: data_el[p_i],
|
|
|
|
|
list(data_tmp[pol][t_data].values())
|
|
|
|
|
))))
|
|
|
|
|
|
|
|
|
|
reach.set(p_i, t_data, "pols", pol_view)
|
|
|
|
|
|
|
|
|
|
###print("pi_tmp: ", pi_tmp)
|
|
|
|
|
###print("pol view: ", pol_view)
|
|
|
|
|
###print("reach from i: ", reach_tmp)
|
|
|
|
|
#print("pol view: ", pol_view)
|
|
|
|
|
#print("results: ", results)
|
|
|
|
|
# ##print("pi_tmp: ", pi_tmp)
|
|
|
|
|
# ##print("pol view: ", pol_view)
|
|
|
|
|
# ##print("reach from i: ", reach_tmp)
|
|
|
|
|
# print("pol view: ", pol_view)
|
|
|
|
|
# print("results: ", results)
|
|
|
|
|
|
|
|
|
|
print("'''''''reading bin files is ok =======")
|
|
|
|
|
results.set("timestamps", set(timestamps_keys))
|
|
|
|
|
#print("------------------------set timestamps results meta data: ", set(timestamps_keys))
|
|
|
|
|
# print("set timestamps results meta data: ", set(timestamps_keys))
|
|
|
|
|
|
|
|
|
|
###print("debug profiles for draw:")
|
|
|
|
|
###print("------------------------")
|
|
|
|
|
###print(data_tmp["AAA-silt"][0.0]["C"][0])
|
|
|
|
|
###print(data_tmp["AAA-silt"][600.0]["C"][0])
|
|
|
|
|
###print(data_tmp["AAA-silt"][1205.7208829578194]["C"][0])
|
|
|
|
|
###print("========================")
|
|
|
|
|
# ##print("debug profiles for draw:")
|
|
|
|
|
# ##print("------------------------")
|
|
|
|
|
# ##print(data_tmp["AAA-silt"][0.0]["C"][0])
|
|
|
|
|
# ##print(data_tmp["AAA-silt"][600.0]["C"][0])
|
|
|
|
|
# ##print(data_tmp["AAA-silt"][1205.7208829578194]["C"][0])
|
|
|
|
|
# ##print("========================")
|
|
|
|
|
|
|
|
|
|
print("****reading bin files is ok =======")
|
|
|
|
|
|
|
|
|
|
@ -787,16 +892,11 @@ class AdisTSwc(AdisTS):
|
|
|
|
|
files = files + func(study, repertory, qlog, name=name)
|
|
|
|
|
|
|
|
|
|
self.export_additional_files(study, repertory, qlog, name=name)
|
|
|
|
|
self._export_REP(study, repertory, mage_rep, files, qlog, name=name)
|
|
|
|
|
self._export_REP(study, repertory, mage_rep,
|
|
|
|
|
files, qlog, name=name)
|
|
|
|
|
|
|
|
|
|
return True
|
|
|
|
|
except Exception as e:
|
|
|
|
|
logger.error(f"Failed to export study to {self._type}")
|
|
|
|
|
logger_exception(e)
|
|
|
|
|
return False
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|