# This is built as a subclass instead of an extension so we can define the
# class variable FuncDict and so we can import DCSubatomicType at the top
# of the file rather than every time we call the putArg function.
from panda3d.core import *
from panda3d.direct import *
# Import the type numbers
[docs]class PyDatagramIterator(DatagramIterator):
# This is a little helper Dict to replace the huge <if> statement
# for trying to match up datagram subatomic types with add funtions
# If Python had an O(1) "case" statement we would use that instead
FuncDict = {
STInt8: DatagramIterator.getInt8,
STInt16: DatagramIterator.getInt16,
STInt32: DatagramIterator.getInt32,
STInt64: DatagramIterator.getInt64,
STUint8: DatagramIterator.getUint8,
STUint16: DatagramIterator.getUint16,
STUint32: DatagramIterator.getUint32,
STUint64: DatagramIterator.getUint64,
STFloat64: DatagramIterator.getFloat64,
STString: DatagramIterator.getString,
STBlob: DatagramIterator.getBlob,
STBlob32: DatagramIterator.getBlob32,
}
getChannel = DatagramIterator.getUint64
[docs] def getArg(self, subatomicType, divisor=1):
# Import the type numbers
if divisor == 1:
# See if it is in the handy dict
getFunc = self.FuncDict.get(subatomicType)
if getFunc:
retVal = getFunc(self)
# No division necessary
elif subatomicType == STInt8array:
len = self.getUint16()
retVal = []
for i in range(len):
retVal.append(self.getInt8())
elif subatomicType == STInt16array:
len = self.getUint16() >> 1
retVal = []
for i in range(len):
retVal.append(self.getInt16())
elif subatomicType == STInt32array:
len = self.getUint16() >> 2
retVal = []
for i in range(len):
retVal.append(self.getInt32())
elif subatomicType == STUint8array:
len = self.getUint16()
retVal = []
for i in range(len):
retVal.append(self.getUint8())
elif subatomicType == STUint16array:
len = self.getUint16() >> 1
retVal = []
for i in range(len):
retVal.append(self.getUint16())
elif subatomicType == STUint32array:
len = self.getUint16() >> 2
retVal = []
for i in range(len):
retVal.append(self.getUint32())
elif subatomicType == STUint32uint8array:
len = self.getUint16() / 5
retVal = []
for i in range(len):
a = self.getUint32()
b = self.getUint8()
retVal.append((a, b))
else:
raise Exception("Error: No such type as: " + str(subatomicType))
else:
# See if it is in the handy dict
getFunc = self.FuncDict.get(subatomicType)
if getFunc:
retVal = (getFunc(self)/float(divisor))
elif subatomicType == STInt8array:
len = self.getUint8() >> 1
retVal = []
for i in range(len):
retVal.append(self.getInt8()/float(divisor))
elif subatomicType == STInt16array:
len = self.getUint16() >> 1
retVal = []
for i in range(len):
retVal.append(self.getInt16()/float(divisor))
elif subatomicType == STInt32array:
len = self.getUint16() >> 2
retVal = []
for i in range(len):
retVal.append(self.getInt32()/float(divisor))
elif subatomicType == STUint8array:
len = self.getUint8() >> 1
retVal = []
for i in range(len):
retVal.append(self.getUint8()/float(divisor))
elif subatomicType == STUint16array:
len = self.getUint16() >> 1
retVal = []
for i in range(len):
retVal.append(self.getUint16()/float(divisor))
elif subatomicType == STUint32array:
len = self.getUint16() >> 2
retVal = []
for i in range(len):
retVal.append(self.getUint32()/float(divisor))
elif subatomicType == STUint32uint8array:
len = self.getUint16() / 5
retVal = []
for i in range(len):
a = self.getUint32()
b = self.getUint8()
retVal.append((a / float(divisor), b / float(divisor)))
else:
raise Exception("Error: No such type as: " + str(subatomicType))
return retVal
