def __init__(self, id, opcode, op_array, context):
""" Create a tree representaiton of an Opcode
Arguments :
id : The id representing the new OPcode
opcode : An OPcode struct
op_array : The op_array of the OPcode
context : An OPcacheParser instance
"""
Tree.__init__(self)
# Identifier to be used by the tree and nodes
id_with_hash = str(hash(str(op_array))) + "_" + id
# OP name
op = OPcodeParser.get_opcode_name(opcode['opcode'])
# Parser
context = OPcodeParser(context)
# Parse operands and result
(op1, op2, result) = context.parse_operands(opcode, op_array)
# Create nodes
op1_node = Node("Operand 1: " + op1, id_with_hash + "_op1")
op2_node = Node("Operand 2: " + op2, id_with_hash + "_op2")
result_node = Node("Result: " + result, id_with_hash + "_result")
# Link nodes to tree
self.create_node(id + ": " + op, id_with_hash + "_opcode")
self.add_node(op1_node, parent=id_with_hash + "_opcode")
self.add_node(op2_node, parent=id_with_hash + "_opcode")
self.add_node(result_node, parent=id_with_hash + "_opcode")
def __init__(self, id, opcode, op_array, context):
""" Create a tree representaiton of an Opcode
Arguments :
id : The id representing the new OPcode
opcode : An OPcode struct
op_array : The op_array of the OPcode
context : An OPcacheParser instance
"""
Tree.__init__(self)
# Identifier to be used by the tree and nodes
id_with_hash = str(hash(str(op_array))) + "_" + id
# OP name
op = OPcodeParser.get_opcode_name(opcode['opcode'])
# Parser
context = OPcodeParser(context)
# Parse operands and result
(op1, op2, result) = context.parse_operands(opcode, op_array)
# Create nodes
op1_node = Node("Operand 1: " + op1, id_with_hash + "_op1")
op2_node = Node("Operand 2: " + op2, id_with_hash + "_op2")
result_node = Node("Result: " + result, id_with_hash + "_result")
# Link nodes to tree
self.create_node(id + ": " + op, id_with_hash + "_opcode")
self.add_node(op1_node, parent=id_with_hash + "_opcode")
self.add_node(op2_node, parent=id_with_hash + "_opcode")
self.add_node(result_node, parent=id_with_hash + "_opcode")
def __init__(self,
tree=None,
deep=False,
node_class=None,
identifier=None):
Tree.__init__(self, tree, deep, node_class, identifier)
pass
def __init__(self, root=None, version=None, mode=None, outfile=None):
# Retrieve original class init
Tree.__init__(self)
# Dataset and files record
self.paths = dict()
# Retrieve the root directory to build the DRS
self.drs_root = root
# Retrieve the dataset version to build the DRS
self.drs_version = version
# Retrieve the migration mode
self.drs_mode = mode
# Display width
self.d_lengths = list()
# Output file if submitted
self.commands_file = outfile
# List of duplicates to remove
self.duplicates = list()
# Dataset hash record
self.hash = dict()
def __init__(self,
srcstring):
"""
RHypothesesTree.__init__
================================================================
PARAMETERS :
o srcstring_slice :
a list of two positive or null integers like (1,4).
"""
TLTree.__init__(self)
self.srcstring = srcstring
self.srcstring_slice = [0, len(self.srcstring)-1 ]
# root node :
self.create_node(tag = "root",
data = RHypothesisData(x0_a = 0,
x0_b = 0,
substring_a = self.srcstring,
substring_b = self.srcstring))
def __init__(self, tree=None): Tree.__init__(self, tree)
def __init__(self):
Tree.__init__(self)
def __init__(self):
Tree.__init__(self)
self.id_num = 0 # unique id
def __init__(self):
Tree.__init__(self)
