def __init__(self, name, encoderSpec):
self.name=name<EOL>self.n, self.w = (<NUM_LIT:100>, <NUM_LIT:15>)<EOL>self.encoderType,self.dataType,self.dataClassName  = (None, None, None)<EOL>self.flag='<STR_LIT>'<EOL>self.isPredictedField=False<EOL>if encoderSpec is not None:<EOL><INDENT>if '<STR_LIT:n>' in encoderSpec: self.n = encoderSpec.pop('<STR_LIT:n>')<EOL>if '<STR_LIT:w>' in encoderSpec: self.w = encoderSpec.pop('<STR_LIT:w>')<EOL>if '<STR_LIT>' in encoderSpec: self.flag = encoderSpec.pop('<STR_LIT>')<EOL>if '<STR_LIT>' in encoderSpec: self.isPredictedField= encoderSpec.pop('<STR_LIT>')<EOL>if '<STR_LIT>' in encoderSpec: self.dataClass= encoderSpec.pop('<STR_LIT>')<EOL>if '<STR_LIT>' in encoderSpec: self.dataClassName= encoderSpec.pop('<STR_LIT>')<EOL>if '<STR_LIT>' in encoderSpec: self.dataType = encoderSpec.pop('<STR_LIT>')<EOL>if '<STR_LIT>' in encoderSpec: self.encoderType= encoderSpec.pop('<STR_LIT>')<EOL><DEDENT>if self.dataType is None and self.encoderType is None:<EOL><INDENT>raise RuntimeError('<STR_LIT>')<EOL><DEDENT>assert(self.dataType is not None or self.encoderType is not None)<EOL>if self.dataType is None or self.encoderType is None:<EOL><INDENT>self._setTypes(encoderSpec)<EOL><DEDENT>self._initializeEncoders(encoderSpec)<EOL>self.encodings=[]<EOL>self.values=[]<EOL>self.numRecords=<NUM_LIT:0><EOL>self.numEncodings=<NUM_LIT:0><EOL>
Initialize a field with various parameters such as n, w, flag, dataType,
        encoderType, and tag predicted field.