src/daSalome/adaoBuilder.py

   1 #-*-coding:iso-8859-1-*-
   2 #
   3 #  Copyright (C) 2008-2015 EDF R&D
   4 #
   5 #  This library is free software; you can redistribute it and/or
   6 #  modify it under the terms of the GNU Lesser General Public
   7 #  License as published by the Free Software Foundation; either
   8 #  version 2.1 of the License.
   9 #
  10 #  This library is distributed in the hope that it will be useful,
  11 #  but WITHOUT ANY WARRANTY; without even the implied warranty of
  12 #  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
  13 #  Lesser General Public License for more details.
  14 #
  15 #  You should have received a copy of the GNU Lesser General Public
  16 #  License along with this library; if not, write to the Free Software
  17 #  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
  18 #
  19 #  See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
  20 #
  21 #  Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
  22
  23 """
  24     Interface de scripting pour une étude ADAO
  25 """
  26 __author__ = "Jean-Philippe ARGAUD"
  27 __all__ = ["New"]
  28
  29 import os
  30 from daCore import AssimilationStudy
  31
  32 class New(object):
  33     """
  34     Creation TUI d'un cas ADAO
  35     """
  36     def __init__(self, name = ""):
  37         self.__adaoStudy = AssimilationStudy.AssimilationStudy(name)
  38         self.__dumper = _DumpLogger(name)
  39
  40     # -----------------------------------------------------------
  41
  42     def set(
  43             self,
  44             Concept              = None,
  45             Algorithm            = None,
  46             DiagonalSparseMatrix = None,
  47             Info                 = None,
  48             Matrix               = None,
  49             OneFunction          = None,
  50             Parameters           = None,
  51             ScalarSparseMatrix   = None,
  52             Script               = None,
  53             Stored               = False,
  54             String               = None,
  55             Template             = None,
  56             ThreeFunctions       = None,
  57             Variable             = None,
  58             Vector               = None,
  59             VectorSerie          = None
  60             ):
  61         "Interface unique de définition de variables d'entrées par argument"
  62         self.__dumper.register("set",dir(),locals(),None,True)
  63         try:
  64             if   Concept == "Background":
  65                 self.setBackground(Vector,VectorSerie,Script,Stored)
  66             elif Concept == "BackgroundError":
  67                 self.setBackgroundError(Matrix,ScalarSparseMatrix,
  68                                         DiagonalSparseMatrix,Script,Stored)
  69             elif Concept == "CheckingPoint":
  70                 self.setCheckingPoint(Vector,VectorSerie,Script,Stored)
  71             elif Concept == "ControlModel":
  72                 self.setControlModel(Matrix,OneFunction,ThreeFunctions,
  73                                      Parameters,Script,Stored)
  74             elif Concept == "ControlInput":
  75                 self.setControlInput(Vector,VectorSerie,Script,Stored)
  76             elif Concept == "EvolutionError":
  77                 self.setEvolutionError(Matrix,ScalarSparseMatrix,
  78                                        DiagonalSparseMatrix,Script,Stored)
  79             elif Concept == "EvolutionModel":
  80                 self.setEvolutionModel(Matrix,OneFunction,ThreeFunctions,
  81                                        Parameters,Script,Stored)
  82             elif Concept == "Observation":
  83                 self.setObservation(Vector,VectorSerie,Script,Stored)
  84             elif Concept == "ObservationError":
  85                 self.setObservationError(Matrix,ScalarSparseMatrix,
  86                                          DiagonalSparseMatrix,Script,Stored)
  87             elif Concept == "ObservationOperator":
  88                 self.setObservationOperator(Matrix,OneFunction,ThreeFunctions,
  89                                             Parameters,Script,Stored)
  90             elif Concept == "AlgorithmParameters":
  91                 self.setAlgorithmParameters(Algorithm,Parameters,Script)
  92             elif Concept == "Debug":
  93                 self.setDebug()
  94             elif Concept == "NoDebug":
  95                 self.setNoDebug()
  96             elif Concept == "Observer":
  97                 self.setObserver(Variable,Template,String,Script,Info)
  98             else:
  99                 raise ValueError("the variable named '%s' is not allowed."%str(Concept))
 100         except Exception as e:
 101             if type(e) == type(SyntaxError()): msg = "at %s: %s"%(e.offset, e.text)
 102             else: msg = ""
 103             raise ValueError("during settings, the following error occurs:\n\n%s %s\n\nSee also the potential messages, which can show the origin of the above error, in the launching terminal."%(str(e),msg))
 104
 105     # -----------------------------------------------------------
 106
 107     def setBackground(
 108             self,
 109             Vector         = None,
 110             VectorSerie    = None,
 111             Script         = None,
 112             Stored         = False):
 113         "Définition d'une entrée de calcul"
 114         self.__dumper.register("setBackground", dir(), locals())
 115         if Script is not None:
 116             __Vector, __PersistentVector = None, None
 117             if VectorSerie:
 118                 __PersistentVector = _ImportFromScript(Script).getvalue( "Background" )
 119             else:
 120                 __Vector = _ImportFromScript(Script).getvalue( "Background" )
 121         else:
 122             __Vector, __PersistentVector = Vector, VectorSerie
 123         #
 124         self.__adaoStudy.setBackground(
 125             asVector           = __Vector,
 126             asPersistentVector = __PersistentVector,
 127             toBeStored         = Stored,
 128             )
 129
 130     def setBackgroundError(
 131             self,
 132             Matrix               = None,
 133             ScalarSparseMatrix   = None,
 134             DiagonalSparseMatrix = None,
 135             Script               = None,
 136             Stored               = False):
 137         "Définition d'une entrée de calcul"
 138         self.__dumper.register("setBackgroundError", dir(), locals())
 139         if Script is not None:
 140             __Covariance, __Scalar, __Vector = None, None, None
 141             if ScalarSparseMatrix:
 142                 __Scalar = _ImportFromScript(Script).getvalue( "BackgroundError" )
 143             elif DiagonalSparseMatrix:
 144                 __Vector = _ImportFromScript(Script).getvalue( "BackgroundError" )
 145             else:
 146                 __Covariance = _ImportFromScript(Script).getvalue( "BackgroundError" )
 147         else:
 148             __Covariance, __Scalar, __Vector = Matrix, ScalarSparseMatrix, DiagonalSparseMatrix
 149         #
 150         self.__adaoStudy.setBackgroundError(
 151             asCovariance  = __Covariance,
 152             asEyeByScalar = __Scalar,
 153             asEyeByVector = __Vector,
 154             toBeStored    = Stored,
 155             )
 156
 157     def setCheckingPoint(
 158             self,
 159             Vector         = None,
 160             VectorSerie    = None,
 161             Script         = None,
 162             Stored         = False):
 163         "Définition d'une entrée de vérification"
 164         self.__dumper.register("setCheckingPoint", dir(), locals())
 165         if Script is not None:
 166             __Vector, __PersistentVector = None, None
 167             if VectorSerie:
 168                 __PersistentVector = _ImportFromScript(Script).getvalue( "CheckingPoint" )
 169             else:
 170                 __Vector = _ImportFromScript(Script).getvalue( "CheckingPoint" )
 171         else:
 172             __Vector, __PersistentVector = Vector, VectorSerie
 173         #
 174         self.__adaoStudy.setBackground(
 175             asVector           = __Vector,
 176             asPersistentVector = __PersistentVector,
 177             toBeStored         = Stored,
 178             )
 179
 180     def setControlModel(
 181             self,
 182             Matrix         = None,
 183             OneFunction    = None,
 184             ThreeFunctions = None,
 185             Parameters     = None,
 186             Script         = None,
 187             Stored         = False):
 188         "Définition d'une entrée de calcul"
 189         self.__dumper.register("setControlModel", dir(), locals())
 190         __Parameters = {}
 191         if Parameters is not None and type(Parameters) == type({}):
 192             if Parameters.has_key("DifferentialIncrement"):
 193                 __Parameters["withIncrement"] = Parameters["DifferentialIncrement"]
 194             if Parameters.has_key("CenteredFiniteDifference"):
 195                 __Parameters["withCenteredDF"] = Parameters["CenteredFiniteDifference"]
 196         if Script is not None:
 197             __Matrix, __Function = None, None
 198             if Matrix:
 199                 __Matrix = _ImportFromScript(Script).getvalue( "ObservationOperator" )
 200             elif OneFunction:
 201                 __Function = { "Direct":_ImportFromScript(Script).getvalue( "DirectOperator" ) }
 202                 __Function.update({"useApproximatedDerivatives":True})
 203                 __Function.update(__Parameters)
 204             elif ThreeFunctions:
 205                 __Function = {
 206                     "Direct" :_ImportFromScript(Script).getvalue( "DirectOperator" ),
 207                     "Tangent":_ImportFromScript(Script).getvalue( "TangentOperator" ),
 208                     "Adjoint":_ImportFromScript(Script).getvalue( "AdjointOperator" ),
 209                     }
 210                 __Function.update(__Parameters)
 211         else:
 212             __Matrix = Matrix
 213             if OneFunction is not None:
 214                 __Function = { "Direct":OneFunction }
 215                 __Function.update({"useApproximatedDerivatives":True})
 216                 __Function.update(__Parameters)
 217             elif ThreeFunctions is not None:
 218                 if (type(ThreeFunctions) is not type({})) or \
 219                     not ThreeFunctions.has_key("Direct") or \
 220                     not ThreeFunctions.has_key("Tangent") or \
 221                     not ThreeFunctions.has_key("Adjoint"):
 222                     raise ValueError("ThreeFunctions has to be a dictionnary and to have the 3 keys Direct, Tangent, Adjoint")
 223                 __Function = ThreeFunctions
 224                 __Function.update(__Parameters)
 225             else:
 226                 __Function = None
 227         #
 228         self.__adaoStudy.setControlModel(
 229             asFunction = __Function,
 230             asMatrix   = __Matrix,
 231             toBeStored = Stored,
 232             )
 233
 234     def setControlInput(
 235             self,
 236             Vector         = None,
 237             VectorSerie    = None,
 238             Script         = None,
 239             Stored         = False):
 240         "Définition d'une entrée de calcul"
 241         self.__dumper.register("setControlInput", dir(), locals())
 242         if Script is not None:
 243             __Vector, __PersistentVector = None, None
 244             if VectorSerie:
 245                 __PersistentVector = _ImportFromScript(Script).getvalue( "ControlInput" )
 246             else:
 247                 __Vector = _ImportFromScript(Script).getvalue( "ControlInput" )
 248         else:
 249             __Vector, __PersistentVector = Vector, VectorSerie
 250         #
 251         self.__adaoStudy.setControlInput(
 252             asVector           = __Vector,
 253             asPersistentVector = __PersistentVector,
 254             toBeStored         = Stored,
 255             )
 256
 257     def setEvolutionError(
 258             self,
 259             Matrix               = None,
 260             ScalarSparseMatrix   = None,
 261             DiagonalSparseMatrix = None,
 262             Script               = None,
 263             Stored               = False):
 264         "Définition d'une entrée de calcul"
 265         self.__dumper.register("setEvolutionError", dir(), locals())
 266         if Script is not None:
 267             __Covariance, __Scalar, __Vector = None, None, None
 268             if ScalarSparseMatrix:
 269                 __Scalar = _ImportFromScript(Script).getvalue( "EvolutionError" )
 270             elif DiagonalSparseMatrix:
 271                 __Vector = _ImportFromScript(Script).getvalue( "EvolutionError" )
 272             else:
 273                 __Covariance = _ImportFromScript(Script).getvalue( "EvolutionError" )
 274         else:
 275             __Covariance, __Scalar, __Vector = Matrix, ScalarSparseMatrix, DiagonalSparseMatrix
 276         #
 277         self.__adaoStudy.setEvolutionError(
 278             asCovariance  = __Covariance,
 279             asEyeByScalar = __Scalar,
 280             asEyeByVector = __Vector,
 281             toBeStored    = Stored,
 282             )
 283
 284     def setEvolutionModel(
 285             self,
 286             Matrix         = None,
 287             OneFunction    = None,
 288             ThreeFunctions = None,
 289             Parameters     = None,
 290             Script         = None,
 291             Stored         = False):
 292         "Définition d'une entrée de calcul"
 293         self.__dumper.register("setEvolutionModel", dir(), locals())
 294         __Parameters = {}
 295         if Parameters is not None and type(Parameters) == type({}):
 296             if Parameters.has_key("DifferentialIncrement"):
 297                 __Parameters["withIncrement"] = Parameters["DifferentialIncrement"]
 298             if Parameters.has_key("CenteredFiniteDifference"):
 299                 __Parameters["withCenteredDF"] = Parameters["CenteredFiniteDifference"]
 300             if Parameters.has_key("EnableMultiProcessing"):
 301                 __Parameters["withmpEnabled"] = Parameters["EnableMultiProcessing"]
 302             if Parameters.has_key("NumberOfProcesses"):
 303                 __Parameters["withmpWorkers"] = Parameters["NumberOfProcesses"]
 304         if Script is not None:
 305             __Matrix, __Function = None, None
 306             if Matrix:
 307                 __Matrix = _ImportFromScript(Script).getvalue( "ObservationOperator" )
 308             elif OneFunction:
 309                 __Function = { "Direct":_ImportFromScript(Script).getvalue( "DirectOperator" ) }
 310                 __Function.update({"useApproximatedDerivatives":True})
 311                 __Function.update(__Parameters)
 312             elif ThreeFunctions:
 313                 __Function = {
 314                     "Direct" :_ImportFromScript(Script).getvalue( "DirectOperator" ),
 315                     "Tangent":_ImportFromScript(Script).getvalue( "TangentOperator" ),
 316                     "Adjoint":_ImportFromScript(Script).getvalue( "AdjointOperator" ),
 317                     }
 318                 __Function.update(__Parameters)
 319         else:
 320             __Matrix = Matrix
 321             if OneFunction is not None:
 322                 __Function = { "Direct":OneFunction }
 323                 __Function.update({"useApproximatedDerivatives":True})
 324                 __Function.update(__Parameters)
 325             elif ThreeFunctions is not None:
 326                 if (type(ThreeFunctions) is not type({})) or \
 327                     not ThreeFunctions.has_key("Direct") or \
 328                     not ThreeFunctions.has_key("Tangent") or \
 329                     not ThreeFunctions.has_key("Adjoint"):
 330                     raise ValueError("ThreeFunctions has to be a dictionnary and to have the 3 keys Direct, Tangent, Adjoint")
 331                 __Function = ThreeFunctions
 332                 __Function.update(__Parameters)
 333             else:
 334                 __Function = None
 335         #
 336         self.__adaoStudy.setEvolutionModel(
 337             asFunction = __Function,
 338             asMatrix   = __Matrix,
 339             toBeStored = Stored,
 340             )
 341
 342     def setObservation(
 343             self,
 344             Vector         = None,
 345             VectorSerie    = None,
 346             Script         = None,
 347             Stored         = False):
 348         "Définition d'une entrée de calcul"
 349         self.__dumper.register("setObservation", dir(), locals())
 350         if Script is not None:
 351             __Vector, __PersistentVector = None, None
 352             if VectorSerie:
 353                 __PersistentVector = _ImportFromScript(Script).getvalue( "Observation" )
 354             else:
 355                 __Vector = _ImportFromScript(Script).getvalue( "Observation" )
 356         else:
 357             __Vector, __PersistentVector = Vector, VectorSerie
 358         #
 359         self.__adaoStudy.setObservation(
 360             asVector           = __Vector,
 361             asPersistentVector = __PersistentVector,
 362             toBeStored         = Stored,
 363             )
 364
 365     def setObservationError(
 366             self,
 367             Matrix               = None,
 368             ScalarSparseMatrix   = None,
 369             DiagonalSparseMatrix = None,
 370             Script               = None,
 371             Stored               = False):
 372         "Définition d'une entrée de calcul"
 373         self.__dumper.register("setObservationError", dir(), locals())
 374         if Script is not None:
 375             __Covariance, __Scalar, __Vector = None, None, None
 376             if ScalarSparseMatrix:
 377                 __Scalar = _ImportFromScript(Script).getvalue( "ObservationError" )
 378             elif DiagonalSparseMatrix:
 379                 __Vector = _ImportFromScript(Script).getvalue( "ObservationError" )
 380             else:
 381                 __Covariance = _ImportFromScript(Script).getvalue( "ObservationError" )
 382         else:
 383             __Covariance, __Scalar, __Vector = Matrix, ScalarSparseMatrix, DiagonalSparseMatrix
 384         #
 385         self.__adaoStudy.setObservationError(
 386             asCovariance  = __Covariance,
 387             asEyeByScalar = __Scalar,
 388             asEyeByVector = __Vector,
 389             toBeStored    = Stored,
 390             )
 391
 392     def setObservationOperator(
 393             self,
 394             Matrix         = None,
 395             OneFunction    = None,
 396             ThreeFunctions = None,
 397             Parameters     = None,
 398             Script         = None,
 399             Stored         = False):
 400         "Définition d'une entrée de calcul"
 401         self.__dumper.register("setObservationOperator", dir(), locals())
 402         __Parameters = {}
 403         if Parameters is not None and type(Parameters) == type({}):
 404             if Parameters.has_key("DifferentialIncrement"):
 405                 __Parameters["withIncrement"] = Parameters["DifferentialIncrement"]
 406             if Parameters.has_key("CenteredFiniteDifference"):
 407                 __Parameters["withCenteredDF"] = Parameters["CenteredFiniteDifference"]
 408             if Parameters.has_key("EnableMultiProcessing"):
 409                 __Parameters["withmpEnabled"] = Parameters["EnableMultiProcessing"]
 410             if Parameters.has_key("NumberOfProcesses"):
 411                 __Parameters["withmpWorkers"] = Parameters["NumberOfProcesses"]
 412         if Script is not None:
 413             __Matrix, __Function = None, None
 414             if Matrix:
 415                 __Matrix = _ImportFromScript(Script).getvalue( "ObservationOperator" )
 416             elif OneFunction:
 417                 __Function = { "Direct":_ImportFromScript(Script).getvalue( "DirectOperator" ) }
 418                 __Function.update({"useApproximatedDerivatives":True})
 419                 __Function.update(__Parameters)
 420             elif ThreeFunctions:
 421                 __Function = {
 422                     "Direct" :_ImportFromScript(Script).getvalue( "DirectOperator" ),
 423                     "Tangent":_ImportFromScript(Script).getvalue( "TangentOperator" ),
 424                     "Adjoint":_ImportFromScript(Script).getvalue( "AdjointOperator" ),
 425                     }
 426                 __Function.update(__Parameters)
 427         else:
 428             __Matrix = Matrix
 429             if OneFunction is not None:
 430                 __Function = { "Direct":OneFunction }
 431                 __Function.update({"useApproximatedDerivatives":True})
 432                 __Function.update(__Parameters)
 433             elif ThreeFunctions is not None:
 434                 if (type(ThreeFunctions) is not type({})) or \
 435                     not ThreeFunctions.has_key("Direct") or \
 436                     not ThreeFunctions.has_key("Tangent") or \
 437                     not ThreeFunctions.has_key("Adjoint"):
 438                     raise ValueError("ThreeFunctions has to be a dictionnary and to have the 3 keys Direct, Tangent, Adjoint")
 439                 __Function = ThreeFunctions
 440                 __Function.update(__Parameters)
 441             else:
 442                 __Function = None
 443         #
 444         self.__adaoStudy.setObservationOperator(
 445             asFunction = __Function,
 446             asMatrix   = __Matrix,
 447             toBeStored = Stored,
 448             )
 449
 450     # -----------------------------------------------------------
 451
 452     def setAlgorithmParameters(
 453             self,
 454             Algorithm  = None,
 455             Parameters = None,
 456             Script     = None):
 457         "Définition d'un paramétrage du calcul"
 458         self.__dumper.register("setAlgorithmParameters", dir(), locals())
 459         if Script is not None:
 460             __Algorithm  = _ImportFromScript(Script).getvalue( "Algorithm" )
 461             __Parameters = _ImportFromScript(Script).getvalue( "AlgorithmParameters", "Parameters" )
 462         else:
 463             __Algorithm  = Algorithm
 464             __Parameters = Parameters
 465         self.__adaoStudy.setAlgorithm( choice = __Algorithm )
 466         self.__adaoStudy.setAlgorithmParameters( asDico = __Parameters )
 467
 468     def setDebug(self):
 469         "Définition d'un paramétrage du calcul"
 470         self.__dumper.register("setDebug",dir(),locals())
 471         return self.__adaoStudy.setDebug()
 472
 473     def setNoDebug(self):
 474         "Définition d'un paramétrage du calcul"
 475         self.__dumper.register("setNoDebug",dir(),locals())
 476         return self.__adaoStudy.unsetDebug()
 477
 478     def setObserver(
 479             self,
 480             Variable = None,
 481             Template = None,
 482             String   = None,
 483             Script   = None,
 484             Info     = None):
 485         "Définition d'un paramétrage du calcul"
 486         self.__dumper.register("setObserver", dir(), locals())
 487         if Variable is None:
 488             raise ValueError("setting an observer has to be done over a variable name, not over None.")
 489         else:
 490             __Variable = str(Variable)
 491             if Info is None:
 492                 __Info = str(Variable)
 493             else:
 494                 __Info = str(Info)
 495         #
 496         if String is not None:
 497             __FunctionText = String
 498         elif Template is not None:
 499             if Template == "ValuePrinter":
 500                 __FunctionText = "print info,var[-1]"
 501             if Template == "ValueSeriePrinter":
 502                 __FunctionText = "print info,var[:]"
 503             if Template == "ValueSaver":
 504                 __FunctionText = r"import numpy,re\nv=numpy.array((var[-1]))\nglobal istep\ntry:\n    istep += 1\nexcept:\n    istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)"
 505             if Template == "ValueSerieSaver":
 506                 __FunctionText = r"import numpy,re\nv=numpy.array((var[:])) \nglobal istep\ntry:\n    istep += 1\nexcept:\n    istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)"
 507             if Template == "ValuePrinterAndSaver":
 508                 __FunctionText = r"import numpy,re\nv=numpy.array((var[-1]))\nprint info,v\nglobal istep\ntry:\n    istep += 1\nexcept:\n    istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)"
 509             if Template == "ValueSeriePrinterAndSaver":
 510                 __FunctionText = r"import numpy,re\nv=numpy.array((var[:])) \nprint info,v\nglobal istep\ntry:\n    istep += 1\nexcept:\n    istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)"
 511             if Template == "ValueGnuPlotter":
 512                 __FunctionText = r"import Gnuplot\nglobal ifig,gp\ntry:\n    ifig += 1\n    gp('set style data lines')\nexcept:\n    ifig = 0\n    gp = Gnuplot.Gnuplot(persist=1)\n    gp('set style data lines')\ngp('set title  \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( var[-1], with_='lines lw 2' ) )"
 513             if Template == "ValueSerieGnuPlotter":
 514                 __FunctionText = r"import Gnuplot\nglobal ifig,gp\ntry:\n    ifig += 1\n    gp('set style data lines')\nexcept:\n    ifig = 0\n    gp = Gnuplot.Gnuplot(persist=1)\n    gp('set style data lines')\ngp('set title  \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( var[:], with_='lines lw 2' ) )"
 515         elif Script is not None:
 516             __FunctionText = _ImportFromScript(Script).getstring()
 517         else:
 518             __FunctionText = ""
 519         __Function = _ObserverF(__FunctionText)
 520         #
 521         self.__adaoStudy.setDataObserver(
 522             VariableName   = __Variable,
 523             HookFunction   = __Function.getfunc(),
 524             HookParameters = __Info,
 525             )
 526
 527     # -----------------------------------------------------------
 528
 529     def executePythonScheme(self):
 530         "Lancement du calcul"
 531         self.__dumper.register("executePythonScheme", dir(), locals())
 532         try:
 533             self.__adaoStudy.analyze()
 534         except Exception as e:
 535             if type(e) == type(SyntaxError()): msg = "at %s: %s"%(e.offset, e.text)
 536             else: msg = ""
 537             raise ValueError("during execution, the following error occurs:\n\n%s %s\n\nSee also the potential messages, which can show the origin of the above error, in the launching terminal."%(str(e),msg))
 538
 539     execute = executePythonScheme
 540
 541     def executeYACSScheme(self, File=None):
 542         "Lancement du calcul"
 543         self.__dumper.register("executeYACSScheme", dir(), locals())
 544         raise NotImplementedError()
 545
 546     # -----------------------------------------------------------
 547
 548     def get(self, Concept=None):
 549         "Récupération d'une sortie du calcul"
 550         self.__dumper.register("get",dir(),locals(),Concept)
 551         return self.__adaoStudy.get(Concept)
 552
 553     def dumpNormalizedCommands(self, filename=None):
 554         "Récupération de la liste des commandes du cas"
 555         return self.__dumper.dump(filename)
 556
 557     def __dir__(self):
 558         return ['set', 'get', 'execute', '__doc__', '__init__', '__module__']
 559
 560 class _DumpLogger(object):
 561     """
 562     Conservation des commandes de création d'un cas
 563     """
 564     def __init__(self, __name="", __objname="case"):
 565         self.__name     = str(__name)
 566         self.__objname  = str(__objname)
 567         self.__logSerie = []
 568         self.__switchoff = False
 569         self.__logSerie.append("#\n# Python script for ADAO TUI\n#")
 570         self.__logSerie.append("from numpy import array, matrix")
 571         self.__logSerie.append("import adaoBuilder")
 572         self.__logSerie.append("%s = adaoBuilder.New('%s')"%(self.__objname, self.__name))
 573     def register(self, __command=None, __keys=None, __local=None, __pre=None, __switchoff=False):
 574         "Enregistrement d'une commande individuelle"
 575         if __command is not None and __keys is not None and __local is not None and not self.__switchoff:
 576             __text  = ""
 577             if __pre is not None:
 578                 __text += "%s = "%__pre
 579             __text += "%s.%s( "%(self.__objname,str(__command))
 580             __keys.remove("self")
 581             for k in __keys:
 582                 __v = __local[k]
 583                 if __v is None: continue
 584                 __text += "%s=%s, "%(k,repr(__v))
 585             __text += ")"
 586             self.__logSerie.append(__text)
 587             if __switchoff:
 588                 self.__switchoff = True
 589         if not __switchoff:
 590             self.__switchoff = False
 591     def dump(self, __filename=None):
 592         "Restitution de la liste des commandes de création d'un cas"
 593         __text = "\n".join(self.__logSerie)
 594         if __filename is not None:
 595             fid = open(__filename,"w")
 596             fid.write(__text)
 597             fid.close()
 598         return __text
 599
 600 class _ObserverF(object):
 601     """
 602     Création d'une fonction d'observateur à partir de son texte
 603     """
 604     def __init__(self, corps=""):
 605         self.__corps = corps
 606     def func(self,var,info):
 607         "Fonction d'observation"
 608         exec(self.__corps)
 609     def getfunc(self):
 610         "Restitution du pointeur de fonction dans l'objet"
 611         return self.func
 612
 613 class _ImportFromScript(object):
 614     """
 615     Obtention d'une variable nommée depuis un fichier script importé
 616     """
 617     def __init__(self, __filename=None):
 618         "Verifie l'existence et importe le script"
 619         __filename = __filename.rstrip(".py")
 620         if __filename is None:
 621             raise ValueError("The name of the file containing the variable to be imported has to be specified.")
 622         if not os.path.isfile(str(__filename)+".py"):
 623             raise ValueError("The file containing the variable to be imported doesn't seem to exist. The given file name is:\n  \"%s\""%__filename)
 624         self.__scriptfile = __import__(__filename, globals(), locals(), [])
 625         self.__scriptstring = open(__filename+".py",'r').read()
 626     def getvalue(self, __varname=None, __synonym=None ):
 627         "Renvoie la variable demandee"
 628         if __varname is None:
 629             raise ValueError("The name of the variable to be imported has to be specified.")
 630         if not hasattr(self.__scriptfile, __varname):
 631             if __synonym is None:
 632                 raise ValueError("The imported script file doesn't contain the specified variable \"%s\"."%__varname)
 633             elif not hasattr(self.__scriptfile, __synonym):
 634                 raise ValueError("The imported script file doesn't contain the specified variable \"%s\"."%__synonym)
 635             else:
 636                 return getattr(self.__scriptfile, __synonym)
 637         else:
 638             return getattr(self.__scriptfile, __varname)
 639     def getstring(self):
 640         return self.__scriptstring
 641
 642 # ==============================================================================
 643 if __name__ == "__main__":
 644     print '\n AUTODIAGNOSTIC \n'