from com.sri.ai.jspark.values import Values as _Values
value_str = _Values.value_str
append_value_str = _Values.append_value_str
inverse_eval = _Values.inverse_eval
setUnpickleFunctions = _Values.setUnpickleFunctions
VALUE_CONSTRUCTOR = _Values.VALUE_CONSTRUCTOR
# Set the reg_append_value_str and reg_inverse_eval functions
import spark.internal.parse.set_methods as _sm
_Values.setRegFunctions(_sm.reg_append_value_str, _sm.reg_inverse_eval)
# set the methods for Python instances of Value
from spark.internal.parse.value import Value as _Value
def _Value_append_value_str(x, buf):
return x.append_value_str(buf)
def _Value_inverse_eval(x):
return x.inverse_eval()
_sm.set_methods(_Value, _Value_append_value_str, _Value_inverse_eval)
else:
# Python implementation
from spark.internal.parse.values_python import \
Symbol, isSymbol, Variable, isVariable, Structure, isStructure, \
value_str, append_value_str, inverse_eval, \
setUnpickleFunctions, VALUE_CONSTRUCTOR
################################################################
# Specify functions for unpickling types that are not standard Python
# These all have to be top level functions for pickling to work.
# For pickling to be compatible across implementations,
# these functions have to be defined in the same module across implementations.
idnum = self.objectIdSave()
#NEWPM.recordLocation("Calling value_str")
from spark.internal.init import is_persist_state
if is_persist_state():
return buf.append(",(idObject %d)" % idnum)
return buf.append("<%s:%s:%d>" % (self.cvcategory, \
(self.cvname() or self.__class__.__name__), \
idnum))
def inverse_eval(self):
idnum = self.objectIdSave()
return SYM_idObject.structure(idnum)
################################################################
# Failures
from spark.internal.exception import Failure, deconstructFailure
def failure_append_value_str(failure, buf):
buf.append(",")
append_value_str(failure_inverse_eval(failure), buf)
return buf
def failure_inverse_eval(failure):
return Structure(Symbol("failure"), [inverse_eval(x) for x in deconstructFailure(failure)])
set_methods(Failure, append_value_str=failure_append_value_str, inverse_eval=failure_inverse_eval)
###############################################################
(self.cvname() or self.__class__.__name__), \
idnum))
def inverse_eval(self):
idnum = self.objectIdSave()
return SYM_idObject.structure(idnum)
################################################################
# Failures
from spark.internal.exception import Failure, deconstructFailure
def failure_append_value_str(failure, buf):
buf.append(",")
append_value_str(failure_inverse_eval(failure), buf)
return buf
def failure_inverse_eval(failure):
return Structure(Symbol("failure"),
[inverse_eval(x) for x in deconstructFailure(failure)])
set_methods(Failure,
append_value_str=failure_append_value_str,
inverse_eval=failure_inverse_eval)
###############################################################
