def parse_string(self, src, grammar=program, filename=None):
oldsrcs = self.input_sources
self.context.optimization_level = self.optimization_level
self.input_sources = src
parser = ParserPython(
grammar,
comment_def=comment,
skipws=True,
reduce_tree=False,
memoization=True,
debug=False,
)
self.context.parsers.append(parser)
self.context.filenames.append(filename)
try:
parse_tree = parser.parse(self.input_sources)
visitor = MuvVisitor(debug=False)
visitor.muvparser = self
parse_tree = visit_parse_tree(parse_tree, visitor)
out = parse_tree.generate_code(self.context)
if self.error_found:
return False
if len(self.context.filenames) == 1:
if self.context.filenames[-1]:
filetext = " from {0}".format(
self.context.filenames[-1]
)
else:
filetext = ''
self.output = (
"( Generated{0} by the MUV compiler. )\n"
"( https://github.com/revarbat/pymuv )\n"
"{1}\n"
).format(filetext, self.output)
self.output += out
if not self.error_found and len(self.context.filenames) == 1:
if self.wrapper_program:
self.output = (
"@program {0}\n"
"1 99999 d\n"
"1 i\n"
"{1}\n"
".\n"
"c\n"
"q\n"
).format(self.wrapper_program, self.output)
return True
except MuvError as e:
line, col = parser.pos_to_linecol(e.position)
self.print_error(filename, line, col, str(e))
return False
except NoMatch as e:
line, col = parser.pos_to_linecol(e.position)
expected = self.simplify_parse_error(e)
self.print_error(filename, line, col, "Expected %s" % expected)
return False
finally:
self.input_sources = oldsrcs
self.context.parsers.pop()
self.context.filenames.pop()
def test_pos_to_linecol():
def grammar():
return ("a", "b", "c")
parser = ParserPython(grammar)
parse_tree = parser.parse("a\n\n\n b\nc")
a_pos = parse_tree[0].position
assert parser.pos_to_linecol(a_pos) == (1, 1)
b_pos = parse_tree[1].position
assert parser.pos_to_linecol(b_pos) == (4, 2)
c_pos = parse_tree[2].position
assert parser.pos_to_linecol(c_pos) == (5, 1)
def test_pos_to_linecol():
def grammar(): return ("a", "b", "c")
parser = ParserPython(grammar)
parse_tree = parser.parse("a\n\n\n b\nc")
a_pos = parse_tree[0].position
assert parser.pos_to_linecol(a_pos) == (1, 1)
b_pos = parse_tree[1].position
assert parser.pos_to_linecol(b_pos) == (4, 2)
c_pos = parse_tree[2].position
assert parser.pos_to_linecol(c_pos) == (5, 1)
def language_from_str(language_def, metamodel):
"""
Constructs parser and initializes metamodel from language description
given in textX language.
Args:
language_def (str): A language description in textX.
metamodel (TextXMetaModel): A metamodel to initialize.
Returns:
Parser for the new language.
"""
if metamodel.debug:
metamodel.dprint("*** PARSING LANGUAGE DEFINITION ***")
# Check the cache for already conctructed textX parser
if metamodel.debug in textX_parsers:
parser = textX_parsers[metamodel.debug]
else:
# Create parser for TextX grammars using
# the arpeggio grammar specified in this module
parser = ParserPython(textx_model,
comment_def=comment,
ignore_case=False,
reduce_tree=False,
memoization=metamodel.memoization,
debug=metamodel.debug,
file=metamodel.file)
# Cache it for subsequent calls
textX_parsers[metamodel.debug] = parser
# Parse language description with textX parser
try:
parse_tree = parser.parse(language_def)
except NoMatch as e:
line, col = parser.pos_to_linecol(e.position)
raise TextXSyntaxError(text(e), line, col)
# Construct new parser and meta-model based on the given language
# description.
lang_parser = visit_parse_tree(parse_tree, TextXVisitor(parser, metamodel))
# Meta-model is constructed. Validate its semantics.
metamodel.validate()
# Here we connect meta-model and language parser for convenience.
lang_parser.metamodel = metamodel
metamodel._parser_blueprint = lang_parser
if metamodel.debug:
# Create dot file for debuging purposes
PMDOTExporter().exportFile(
lang_parser.parser_model,
"{}_parser_model.dot".format(metamodel.rootcls.__name__))
return lang_parser
def language_from_str(language_def, metamodel):
"""
Constructs parser and initializes metamodel from language description
given in textX language.
Args:
language_def (str): A language description in textX.
metamodel (TextXMetaModel): A metamodel to initialize.
Returns:
Parser for the new language.
"""
if metamodel.debug:
metamodel.dprint("*** PARSING LANGUAGE DEFINITION ***")
# Check the cache for already conctructed textX parser
if metamodel.debug in textX_parsers:
parser = textX_parsers[metamodel.debug]
else:
# Create parser for TextX descriptions from
# the textX grammar specified in this module
parser = ParserPython(textx_model,
comment_def=comment,
ignore_case=False,
reduce_tree=False,
debug=metamodel.debug)
# Prepare regex used in keyword-like strmatch detection.
# See str_match_SA
flags = 0
if metamodel.ignore_case:
flags = re.IGNORECASE
parser.keyword_regex = re.compile(r'[^\d\W]\w*', flags)
# Cache it for subsequent calls
textX_parsers[metamodel.debug] = parser
# This is used during parser construction phase.
# Metamodel is filled in. Classes are created based on grammar rules.
parser.metamodel = metamodel
# Builtin rules representing primitive types
parser.root_rule_name = None
# Parse language description with textX parser
try:
parser.parse(language_def)
except NoMatch as e:
line, col = parser.pos_to_linecol(e.position)
raise TextXSyntaxError(text(e), line, col)
# Construct new parser based on the given language description.
lang_parser = parser.getASG()
# Meta-model is constructed. Validate semantics of metamodel.
parser.metamodel.validate()
# Meta-model is constructed. Here we connect meta-model and language
# parser for convenience.
lang_parser.metamodel = parser.metamodel
metamodel.parser = lang_parser
if metamodel.debug:
# Create dot file for debuging purposes
PMDOTExporter().exportFile(
lang_parser.parser_model,
"{}_parser_model.dot".format(metamodel.rootcls.__name__))
return lang_parser
def language_from_str(language_def, metamodel):
"""
Constructs parser and initializes metamodel from language description
given in textX language.
Args:
language_def (str): A language description in textX.
metamodel (TextXMetaModel): A metamodel to initialize.
Returns:
Parser for the new language.
"""
if metamodel.debug:
metamodel.dprint("*** PARSING LANGUAGE DEFINITION ***")
# Check the cache for already conctructed textX parser
if metamodel.debug in textX_parsers:
parser = textX_parsers[metamodel.debug]
else:
# Create parser for TextX descriptions from
# the textX grammar specified in this module
parser = ParserPython(textx_model, comment_def=comment,
ignore_case=False,
reduce_tree=False, debug=metamodel.debug)
# Prepare regex used in keyword-like strmatch detection.
# See str_match_SA
flags = 0
if metamodel.ignore_case:
flags = re.IGNORECASE
parser.keyword_regex = re.compile(r'[^\d\W]\w*', flags)
# Cache it for subsequent calls
textX_parsers[metamodel.debug] = parser
# This is used during parser construction phase.
# Metamodel is filled in. Classes are created based on grammar rules.
parser.metamodel = metamodel
# Builtin rules representing primitive types
parser.root_rule_name = None
# Parse language description with textX parser
try:
parser.parse(language_def)
except NoMatch as e:
line, col = parser.pos_to_linecol(e.position)
raise TextXSyntaxError(text(e), line, col)
# Construct new parser based on the given language description.
lang_parser = parser.getASG()
# Meta-model is constructed. Validate semantics of metamodel.
parser.metamodel.validate()
# Meta-model is constructed. Here we connect meta-model and language
# parser for convenience.
lang_parser.metamodel = parser.metamodel
metamodel.parser = lang_parser
if metamodel.debug:
# Create dot file for debuging purposes
PMDOTExporter().exportFile(
lang_parser.parser_model,
"{}_parser_model.dot".format(metamodel.rootcls.__name__))
return lang_parser
def language_from_str(language_def, metamodel):
"""
Constructs parser and initializes metamodel from language description
given in textX language.
Args:
language_def (str): A language description in textX.
metamodel (TextXMetaModel): A metamodel to initialize.
Returns:
Parser for the new language.
"""
if type(language_def) is not text:
raise TextXError("textX accepts only unicode strings.")
if metamodel.debug:
metamodel.dprint("*** PARSING LANGUAGE DEFINITION ***")
# Check the cache for already conctructed textX parser
if metamodel.debug in textX_parsers:
parser = textX_parsers[metamodel.debug]
else:
# Create parser for TextX grammars using
# the arpeggio grammar specified in this module
parser = ParserPython(textx_model, comment_def=comment,
ignore_case=False,
reduce_tree=False,
memoization=metamodel.memoization,
debug=metamodel.debug,
file=metamodel.file)
# Cache it for subsequent calls
textX_parsers[metamodel.debug] = parser
# Parse language description with textX parser
try:
parse_tree = parser.parse(language_def)
except NoMatch as e:
line, col = parser.pos_to_linecol(e.position)
raise TextXSyntaxError(text(e), line, col)
# Construct new parser and meta-model based on the given language
# description.
lang_parser = visit_parse_tree(parse_tree,
TextXVisitor(parser, metamodel))
# Meta-model is constructed. Validate its semantics.
metamodel.validate()
# Here we connect meta-model and language parser for convenience.
lang_parser.metamodel = metamodel
metamodel._parser_blueprint = lang_parser
if metamodel.debug:
# Create dot file for debuging purposes
PMDOTExporter().exportFile(
lang_parser.parser_model,
"{}_parser_model.dot".format(metamodel.rootcls.__name__))
return lang_parser
