def add_text_atomic(self, expression):
"""
:param expression:
:return:
"""
temp = expression.replace("(", " ")
temp = temp.replace(")", " ")
temp = cleaning.strip_white_space(temp)
temp = temp.replace("`", "")
args = temp.split(",")
return_type = ""
func_name = ""
# Find the return type
for arg in args:
if arg in self.sorts.keys():
return_type = arg
args.remove(arg)
break
# Find the function name
for arg in args:
if arg not in self.sorts.keys():
func_name = arg
args.remove(arg)
break
return self.add_code_atomic(func_name, return_type)
def tokenize_random_dcec(expression, namespace=None):
"""
This function creates a token representation of a random DCEC statement.
It returns the token as well as sorts of new atomics and functions.
"""
# Default DCEC Functions
if namespace is None:
namespace = prototypes.Namespace()
namespace.add_basic_dcec()
else:
namespace = namespace
# Remove Comments
temp = remove_comments(expression)
# Check for an empty string
if temp == "()":
return "", {}, {}, {}
# Check for a parentheses mismatch error
if not cleaning.check_parens(expression):
print("ERROR: parentheses mismatch error.")
return False, False, False, False
# Make symbols into functions
temp = functorize_symbols(temp)
# Strip comments
temp = cleaning.strip_comments(temp)
# Strip whitespace so you can do the rest of the parsing
temp = cleaning.strip_white_space(temp)
# Tuck the functions inside thier parentheses
temp = cleaning.tuck_functions(temp)
# Strip whitespace again
temp = cleaning.strip_white_space(temp)
# Consolidate Parentheses
temp = cleaning.consolidate_parens(temp)
quantifiers = []
# These are the tokens that should be added to the namespace
add_atomics = {}
add_functions = {}
add_quants = {}
return_token = token_tree(temp, namespace, quantifiers, add_quants,
add_atomics, add_functions)
# check for errors that occur in the lower level
if isinstance(return_token, bool) and return_token is False:
return False, False, False, False
# Add quantifiers to the TokenTree
return_token = tokenize_quantifiers(return_token, quantifiers)
return return_token, add_quants, add_atomics, add_functions
def add_text_sort(self, expression):
"""
:param expression:
:return:
"""
temp = expression.replace("(", " ")
temp = temp.replace(")", " ")
temp = cleaning.strip_white_space(temp)
temp = temp.replace("`", "")
args = temp.split(",")
if len(args) == 2:
self.add_code_sort(args[1])
elif len(args) > 2:
self.add_code_sort(args[1], args[2:])
else:
print("ERROR: Cannot define the sort")
return False
def add_text_function(self, expression):
"""
:param expression:
:return:
"""
temp = expression.replace("(", " ")
temp = temp.replace(")", " ")
temp = cleaning.strip_white_space(temp)
temp = temp.replace("`", "")
args = temp.split(",")
if args[0].lower() == "typedef":
return self.add_text_sort(expression)
elif len(args) == 2:
return self.add_text_atomic(expression)
return_type = ""
func_name = ""
func_args = []
# Find the return type
if args[0] in self.sorts.keys():
return_type = args[0]
args.remove(args[0])
# Find the function name
for arg in args:
if arg not in self.sorts.keys():
func_name = arg
args.remove(arg)
break
# Find the function args
for arg in args:
if arg in self.sorts.keys():
func_args.append(arg)
# Error Checking
if return_type == "" or func_name == "" or func_args == []:
print("ERROR: The function prototype was not formatted correctly.")
return False
# Add the function
return self.add_code_function(func_name, return_type, func_args)
if __name__ == "__main__":
import doctest
doctest.testmod()
# pylint: disable=invalid-name
inputin = input("Enter an expression: ")
# Make symbols into functions
inputin = remove_comments(inputin)
print(inputin)
inputin = functorize_symbols(inputin)
print(inputin)
# Strip comments
inputin = cleaning.strip_comments(inputin)
print(inputin)
# Strip whitespace so you can do the rest of the parsing
inputin = cleaning.strip_white_space(inputin)
print(inputin)
# Tuck the functions inside thier parentheses
inputin = cleaning.tuck_functions(inputin)
print(inputin)
# Consolidate Parentheses
inputin = cleaning.consolidate_parens(inputin)
print(inputin)
test_namespace = prototypes.Namespace()
test_namespace.add_basic_dcec()
test_namespace.add_basic_numerics()
test_namespace.add_basic_logic()
test_namespace.add_text_function("ActionType heal Agent")
# testNAMESPACE.addTextFunction("Boolean B Agent Moment Boolean Certainty")
add_quant = {}
add_atomic = {}
