/usr/share/pyshared/datatypes/dataFactoryGiws.py is in giws 2.0.2-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 | #!/usr/bin/python -u
# Copyright or Copr. INRIA/Scilab - Sylvestre LEDRU
#
# Sylvestre LEDRU - <sylvestre.ledru@inria.fr> <sylvestre@ledru.info>
#
# This software is a computer program whose purpose is to generate C++ wrapper
# for Java objects/methods.
#
# This software is governed by the CeCILL license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify and/ or redistribute the software under the terms of the CeCILL
# license as circulated by CEA, CNRS and INRIA at the following URL
# "http://www.cecill.info".
#
# As a counterpart to the access to the source code and rights to copy,
# modify and redistribute granted by the license, users are provided only
# with a limited warranty and the software's author, the holder of the
# economic rights, and the successive licensors have only limited
# liability.
#
# In this respect, the user's attention is drawn to the risks associated
# with loading, using, modifying and/or developing or reproducing the
# software by the user in light of its specific status of free software,
# that may mean that it is complicated to manipulate, and that also
# therefore means that it is reserved for developers and experienced
# professionals having in-depth computer knowledge. Users are therefore
# encouraged to load and test the software's suitability as regards their
# requirements in conditions enabling the security of their systems and/or
# data to be ensured and, more generally, to use and operate it in the
# same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
#
# For more information, see the file COPYING
from datatypes.intDataGiws import intDataGiws
from datatypes.charDataGiws import charDataGiws
from datatypes.longDataGiws import longDataGiws
from datatypes.doubleDataGiws import doubleDataGiws
from datatypes.booleanDataGiws import booleanDataGiws
from datatypes.byteDataGiws import byteDataGiws
from datatypes.floatDataGiws import floatDataGiws
from datatypes.shortDataGiws import shortDataGiws
from datatypes.stringDataGiws import stringDataGiws
from datatypes.voidDataGiws import voidDataGiws
from datatypes.DoubleBufferDataGiws import DoubleBufferDataGiws
from datatypes.LongBufferDataGiws import LongBufferDataGiws
from datatypes.ByteBufferDataGiws import ByteBufferDataGiws
from datatypes.CharBufferDataGiws import CharBufferDataGiws
from datatypes.DoubleBufferDataGiws import DoubleBufferDataGiws
from datatypes.FloatBufferDataGiws import FloatBufferDataGiws
from datatypes.IntBufferDataGiws import IntBufferDataGiws
from datatypes.ShortBufferDataGiws import ShortBufferDataGiws
import datatypes
import new
""" Factory which create the different data types """
class dataFactoryGiws:
def __init__(self):
self.dict = {
"int": intDataGiws,
"char": charDataGiws,
"long": longDataGiws,
"double": doubleDataGiws,
"boolean": booleanDataGiws,
"byte": byteDataGiws,
"float": floatDataGiws,
"short": shortDataGiws,
"String": stringDataGiws,
"void": voidDataGiws,
"DoubleBuffer": DoubleBufferDataGiws,
"ByteBuffer": ByteBufferDataGiws,
"CharBuffer": CharBufferDataGiws,
"DoubleBuffer": DoubleBufferDataGiws,
"FloatBuffer": FloatBufferDataGiws,
"IntBuffer": IntBufferDataGiws,
"LongBuffer": LongBufferDataGiws,
"ShortBuffer": ShortBufferDataGiws
}
def create(self, dataTypeToCreate):
""" Create an GIWS datatype
it can be int, char, long, double, boolean, byte, float, short,
String and void
if there is a trailing [], this object will consider it as an
array of this data
"""
isArray=False
arrayDimension=0 # Scalar
if dataTypeToCreate.endswith("[]"): # It is an array
isArray=True
arrayDimension=dataTypeToCreate.count("[]")
# Trim to load the right object
dataTypeToCreate=dataTypeToCreate[0:len(dataTypeToCreate)-(arrayDimension*2)]
if dataTypeToCreate not in self.dict:
raise Exception("Don't know how to manage the data type %s",dataTypeToCreate)
myType=self.dict[dataTypeToCreate]()
if myType.isByteBufferBased():
arrayDimension=1
# It is a byte buffer type
isArray=True
myType.setIsArray(isArray)
myType.setDimensionArray(arrayDimension)
return myType
if __name__ == '__main__':
myFactory=dataFactoryGiws()
myData=myFactory.create("int")
myData=myFactory.create("IntBuffer")
print myFactory.isByteBufferBased()
myData2=myFactory.create("doesnt-exist")
print myData.getDescription()
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