my_parser.add_argument('yacs_schema_filename')
args = my_parser.parse_args()
+if os.path.dirname(args.config_file) != '':
+ # Ajout dans le sys.path pour permettre l'import des fichiers inclus
+ sys.path.insert(0, os.path.dirname(args.config_file))
+
run.create_schema_from_file(args.config_file, args.yacs_schema_filename)
that can be reached, it can grow quickly to be quite large.
It is possible to exclude a priori potential positions for optimal measurement
-points, using the analysis variant "*lcEIM*" for a constrained positioning
-search.
+points, using the analysis variant "*PositioningBylcEIM*" for a constrained
+positioning search.
.. ------------------------------------ ..
.. include:: snippets/Header2Algo02.rst
*List of pairs of real values*. This key allows to define pairs of upper and
lower bounds for every state variable being optimized. Bounds have to be
given by a list of list of pairs of lower/upper bounds for each variable,
- with possibly ``None`` every time there is no bound. The bounds can always be
- specified, but they are taken into account only by the constrained
+ with a value of ``None`` each time there is no bound. The bounds can always
+ be specified, but they are taken into account only by the constrained
optimizers.
Example:
importante.
Il est possible d'exclure a priori des positions potentielles pour les points
-de mesures optimaux, en utilisant le variant "*lcEIM*" d'analyse pour une
-recherche de positionnement contraint.
+de mesures optimaux, en utilisant le variant "*PositioningBylcEIM*" d'analyse
+pour une recherche de positionnement contraint.
.. ------------------------------------ ..
.. include:: snippets/Header2Algo02.rst
__from = r['data']
if 'STRING' in __from:
__parameters = ", Parameters=%s"%(repr(eval(__from['STRING'])),)
- elif 'SCRIPT_FILE' in __from and os.path.exists(__from['SCRIPT_FILE']):
+ elif 'SCRIPT_FILE' in __from: # Pas de test d'existence du fichier pour accepter un fichier relatif
__parameters = ", Script='%s'"%(__from['SCRIPT_FILE'],)
else: # if 'Parameters' in r and r['Parameters'] == 'Defaults':
__Dict = copy.deepcopy(r)
"Verifie l'existence et importe le script"
if __filename is None:
raise ValueError("The name of the file, containing the variable to be read, has to be specified.")
- if not os.path.isfile(__filename):
- raise ValueError(
- "The file containing the variable to be imported doesn't seem to"+\
- " exist. Please check the file. The given file name is:\n \"%s\""%str(__filename))
+ __fullname, __i = __filename, 0
+ while not os.path.exists(__fullname) and __i < len(sys.path):
+ # Correction avec le sys.path si nécessaire
+ __fullname = os.path.join(sys.path[__i], __filename)
+ __i += 1
+ if not os.path.exists(__filename):
+ if os.path.exists(__fullname):
+ __filename = __fullname
+ else:
+ raise ValueError(
+ "The file containing the variable to be imported doesn't seem to"+\
+ " exist. Please check the file. The given file name is:\n \"%s\""%str(__filename))
if os.path.dirname(__filename) != '':
sys.path.insert(0, os.path.dirname(__filename))
__basename = os.path.basename(__filename).rstrip(".py")
return _Perturbations
# ==============================================================================
-def EnsembleOfBackgroundPerturbations( __bgCenter, __bgCovariance, __nbMembers, __withSVD = True):
+def EnsembleOfBackgroundPerturbations( __bgCenter, __bgCovariance, __nbMembers, __withSVD = True ):
"Génération d'un ensemble de taille __nbMembers-1 d'états aléatoires centrés"
def __CenteredRandomAnomalies(Zr, N):
"""
return numpy.asarray(__Ensemble).mean(axis=1, dtype=mfp).astype('float').reshape((-1,1))
# ==============================================================================
-def EnsembleOfAnomalies( __Ensemble, __OptMean = None, __Normalisation = 1.):
+def EnsembleOfAnomalies( __Ensemble, __OptMean = None, __Normalisation = 1. ):
"Renvoie les anomalies centrées à partir d'un ensemble"
if __OptMean is None:
__Em = EnsembleMean( __Ensemble )
return __OutputCovOrEns
# ==============================================================================
-def HessienneEstimation(__selfA, __nb, __HaM, __HtM, __BI, __RI):
+def HessienneEstimation( __selfA, __nb, __HaM, __HtM, __BI, __RI ):
"Estimation de la Hessienne"
#
__HessienneI = []
return __A
# ==============================================================================
-def QuantilesEstimations(selfA, A, Xa, HXa = None, Hm = None, HtM = None):
+def QuantilesEstimations( selfA, A, Xa, HXa = None, Hm = None, HtM = None ):
"Estimation des quantiles a posteriori à partir de A>0 (selfA est modifié)"
nbsamples = selfA._parameters["NumberOfSamplesForQuantiles"]
#
return __Bounds
# ==============================================================================
-def RecentredBounds( __Bounds, __Center, __Scale = None):
+def RecentredBounds( __Bounds, __Center, __Scale = None ):
"Recentre les bornes autour de 0, sauf si globalement None"
# Conserve une valeur par défaut à None s'il n'y a pas de bornes
if __Bounds is None: return None
return __Scale @ (ForceNumericBounds( __Bounds, False ) - numpy.ravel( __Center ).reshape((-1,1)))
# ==============================================================================
-def ApplyBounds( __Vector, __Bounds, __newClip = True):
+def ApplyBounds( __Vector, __Bounds, __newClip = True ):
"Applique des bornes numériques à un point"
# Conserve une valeur par défaut s'il n'y a pas de bornes
if __Bounds is None: return __Vector
return __Vector
# ==============================================================================
-def Apply3DVarRecentringOnEnsemble(__EnXn, __EnXf, __Ynpu, __HO, __R, __B, __SuppPars):
+def Apply3DVarRecentringOnEnsemble( __EnXn, __EnXf, __Ynpu, __HO, __R, __B, __SuppPars ):
"Recentre l'ensemble Xn autour de l'analyse 3DVAR"
__Betaf = __SuppPars["HybridCovarianceEquilibrium"]
#
return Xa + EnsembleOfAnomalies( __EnXn )
# ==============================================================================
-def FindIndexesFromNames( __NameOfLocations = None, __ExcludeLocations = None, ForceArray = False):
+def FindIndexesFromNames( __NameOfLocations = None, __ExcludeLocations = None, ForceArray = False ):
"Exprime les indices des noms exclus, en ignorant les absents"
if __ExcludeLocations is None:
__ExcludeIndexes = ()
#
import os
+import sys
import time
import subprocess
import traceback
self.filename = "not yet defined" # Python filename generated by Eficas
self.yacs_filename = "not yet defined" # Yacs schema filename
- self.tui_filename = "not yet defined" # Yacs schema filename
+ self.tui_filename = "not yet defined" # TUI filename
#~ self.salome_study_id = -1 # Study of the case
self.salome_study_item = None # Study item object
self.eficas_editor.modified = True
self.eficas_editor.saveFile()
#
+ if os.path.dirname(self.filename) != '':
+ # Ajout dans le sys.path pour permettre l'import des fichiers inclus
+ sys.path.insert(0, os.path.dirname(self.filename))
+ #
import adaoBuilder
fullcase = adaoBuilder.New()
rtn = fullcase.convert(FileNameFrom=self.filename, FormaterFrom="COM",
raise ValueError("\n\nAnalysis found but Data is not defined in the analysis configuration!\n")
if analysis_config["From"] == "Script":
- check_file_name = analysis_config["Data"]
- if check_repertory and not os.path.exists(check_file_name):
- check_file_name = os.path.join(repertory, os.path.basename(analysis_config["Data"]))
- if not os.path.exists(check_file_name):
+ # Recherche d'un nom valide :
+ checked_file_name = analysis_config["Data"]
+ if not os.path.exists(checked_file_name):
+ if check_repertory:
+ if os.path.exists( os.path.join(repertory, analysis_config["Data"]) ):
+ checked_file_name = os.path.join(repertory, analysis_config["Data"])
+ if os.path.exists( os.path.join(repertory, os.path.basename(analysis_config["Data"])) ):
+ checked_file_name = os.path.join(repertory, os.path.basename(analysis_config["Data"]))
+ else:
+ __i = 0
+ while not os.path.exists(checked_file_name) and __i < len(sys.path):
+ # Correction avec le sys.path si nécessaire
+ checked_file_name = os.path.join(sys.path[__i], analysis_config["Data"])
+ __i += 1
+ __i = 0
+ while not os.path.exists(checked_file_name) and __i < len(sys.path):
+ # Correction avec le sys.path si nécessaire
+ checked_file_name = os.path.join(sys.path[__i], os.path.basename(analysis_config["Data"]))
+ __i += 1
+ if not os.path.exists(checked_file_name):
raise ValueError("\n\n The script file cannot be found for UserPostAnalysis,\n please check its availability.\n"+
- " The given user file is:\n %s\n" % check_file_name)
+ " The given user file is:\n %s\n" % checked_file_name)
# Check observers
if "Observers" in study_config.keys():
except:
raise ValueError("\n\n Variable %s value cannot be converted in an integer \n in the %s configuration!\n" % name)
-def check_data(data_name, data_config, repertory_check=False, repertory=""):
+def check_data(data_name, data_config, check_repertory=False, repertory=""):
logging.debug("[check_data] " + data_name)
data_name_data = "Data"
# Check des fichiers
from_type = data_config["From"]
if from_type == "Script":
- check_file_name = data_config["Data"]
- if repertory_check and not os.path.exists(check_file_name):
- check_file_name = os.path.join(repertory, os.path.basename(data_config["Data"]))
- if not os.path.exists(check_file_name):
- raise ValueError("\n\n The script file cannot be found for the \"%s\" keyword, please \n check its availability. The given user file is:\n %s\n"%(from_type,check_file_name))
+ # Recherche d'un nom valide :
+ checked_file_name = data_config["Data"]
+ if not os.path.exists(checked_file_name):
+ if check_repertory:
+ if os.path.exists( os.path.join(repertory, data_config["Data"]) ):
+ checked_file_name = os.path.join(repertory, data_config["Data"])
+ if os.path.exists( os.path.join(repertory, os.path.basename(data_config["Data"])) ):
+ checked_file_name = os.path.join(repertory, os.path.basename(data_config["Data"]))
+ else:
+ # Correction avec le sys.path si nécessaire
+ __i = 0
+ while not os.path.exists(checked_file_name) and __i < len(sys.path):
+ checked_file_name = os.path.join(sys.path[__i], data_config["Data"])
+ __i += 1
+ __i = 0
+ while not os.path.exists(checked_file_name) and __i < len(sys.path):
+ checked_file_name = os.path.join(sys.path[__i], os.path.basename(data_config["Data"]))
+ __i += 1
+ if not os.path.exists(checked_file_name):
+ raise ValueError("\n\n The script file cannot be found for the \"%s\" keyword,\n please check its availability.\n The given user file is:\n %s\n"%(from_type,data_config["Data"]))
+ #
elif (from_type == "FunctionDict" or from_type == "ScriptWithSwitch" or from_type == "ScriptWithFunctions" or from_type == "ScriptWithOneFunction"):
TheData = data_config["Data"]
for FunctionName in TheData["Function"]:
- check_file_name = TheData["Script"][FunctionName]
- if repertory_check and not os.path.exists(check_file_name):
- check_file_name = os.path.join(repertory, os.path.basename(TheData["Script"][FunctionName]))
- if not os.path.exists(check_file_name):
- raise ValueError("\n\n The script file cannot be found for the \"%s\" keyword, please \n check its availability. The given user file is:\n %s\n"%(from_type,check_file_name))
+ # Recherche d'un nom valide :
+ checked_file_name = TheData["Script"][FunctionName]
+ if not os.path.exists(checked_file_name):
+ if check_repertory:
+ if os.path.exists( os.path.join(repertory, TheData["Script"][FunctionName]) ):
+ checked_file_name = os.path.join(repertory, TheData["Script"][FunctionName])
+ if os.path.exists( os.path.join(repertory, os.path.basename(TheData["Script"][FunctionName])) ):
+ checked_file_name = os.path.join(repertory, os.path.basename(TheData["Script"][FunctionName]))
+ else:
+ # Correction avec le sys.path si nécessaire
+ __i = 0
+ while not os.path.exists(checked_file_name) and __i < len(sys.path):
+ checked_file_name = os.path.join(sys.path[__i], TheData["Script"][FunctionName])
+ __i += 1
+ __i = 0
+ while not os.path.exists(checked_file_name) and __i < len(sys.path):
+ checked_file_name = os.path.join(sys.path[__i], os.path.basename(TheData["Script"][FunctionName]))
+ __i += 1
+ if not os.path.exists(checked_file_name):
+ raise ValueError("\n\n The script file cannot be found for the \"%s\" keyword, please \n check its availability. The given user file is:\n %s\n"%(from_type,checked_file_name))
