def __init__(self, remove_indices=None, multi_remove=False, max_tokens=3):
Transformer.__init__(self)
AbstractTransformationsIterator.__init__(self, multi_remove=False)
if remove_indices is None:
remove_indices = []
self.remove_indices = remove_indices
self.token_index = 0
self.stmt_index = 0
self.num_options_per_stmt = []
self.max_tokens = max_tokens
def create_transformer(ast_module: types.ModuleType,
transformer: Optional[Transformer] = None,
decorator_factory: Callable = v_args) -> Transformer:
"""Collects `Ast` subclasses from the given module, and creates a Lark transformer that builds the AST.
For each class, we create a corresponding rule in the transformer, with a matching name.
CamelCase names will be converted into snake_case. Example: "CodeBlock" -> "code_block".
Classes starting with an underscore (`_`) will be skipped.
Parameters:
ast_module: A Python module containing all the subclasses of ``ast_utils.Ast``
transformer (Optional[Transformer]): An initial transformer. Its attributes may be overwritten.
decorator_factory (Callable): An optional callable accepting two booleans, inline, and meta,
and returning a decorator for the methods of ``transformer``. (default: ``v_args``).
"""
t = transformer or Transformer()
for name, obj in inspect.getmembers(ast_module):
if not name.startswith('_') and inspect.isclass(obj):
if issubclass(obj, Ast):
wrapper = decorator_factory(inline=not issubclass(obj, AsList),
meta=issubclass(obj, WithMeta))
obj = wrapper(obj).__get__(t)
setattr(t, camel_to_snake(name), obj)
return t
def transform(self, tree, facts):
"""transform(self, tree, facts)
'tree' - tree to transform
'facts' - dict to get info about
facts from
"""
self._facts = facts
return Transformer.transform(self, tree)
def __init__(
self,
log=True,
start_end_par_pattern="{}{}",
left_par=[],
right_par=[],
visit_tokens=False,
):
Transformer.__init__(self, visit_tokens=visit_tokens)
formatted_left_parenthesis = "|".join(left_par)
formatted_right_parenthesis = "|".join(right_par)
self.start_end_par_pattern = re.compile(
start_end_par_pattern.format(
formatted_left_parenthesis,
formatted_right_parenthesis,
))
self._logger_func = logging.info
if not log:
self._logger_func = lambda x: x
self._logger = Log(logger_func=self._logger_func)
def create_transformer(ast_module, transformer=None):
"""Collects `Ast` subclasses from the given module, and creates a Lark transformer that builds the AST.
For each class, we create a corresponding rule in the transformer, with a matching name.
CamelCase names will be converted into snake_case. Example: "CodeBlock" -> "code_block".
Parameters:
ast_module - A Python module containing all the subclasses of `ast_utils.Ast`
Classes starting with an underscore (`_`) will be skipped.
transformer (Optional[Transformer]) - An initial transformer. Its attributes may be overwritten.
"""
t = transformer or Transformer()
for name, obj in inspect.getmembers(ast_module):
if not name.startswith('_') and inspect.isclass(obj):
if issubclass(obj, Ast):
if not issubclass(obj, AsList):
obj = inline(obj).__get__(t)
setattr(t, camel_to_snake(name), obj)
return t
def __init__(self, console, *args):
Transformer.__init__(self, *args)
self.console = console
self.history = self.console.history
self.ps1 = self.console.ps1
self.ps2 = self.console.ps2
def __init__(self, filename):
Transformer.__init__(self, visit_tokens=False)
self.filename = filename
def __init__(self):
Transformer.__init__(self)
self.tmpcount = -1
def transform(self, tree):
return self._tree_to_criteria(Transformer.transform(self, tree)).criterion
def transform(self, tree):
return self._tree_tostring(Transformer.transform(self, tree))
def transform(self, tree):
return Transformer.transform(self, tree)
return "stream attribute: %s [%s, %s]\n" % (self.name, self.datatype,
self.streamtype)
class Transformer(object):
def __init__(self):
pass
def string(self, token):
return str(token).strip("'")
def variable(self, token):
return str(token.children[0].value)
ts = Transformer()
class LiveVariables(object):
def __init__(self):
self.sa = {}
self.wp = {}
def regist_sa(self, ast):
assert ast.data == 'stream_attribute'
filename, name = ast.children
filename, name = ts.string(filename), ts.string(name)
with open(FILE_PATH + filename) as f:
data = json.load(f)
attr = data[name]
assert 'datatype' in attr
def __init__(self, conversation, turn):
self.graph = Graph()
Transformer.__init__(self)
self.conversation = conversation
self.turn = turn
self.instances = {}
def __init__(self, remove_list=None, multi_remove=True):
Transformer.__init__(self)
AbstractTransformationsIterator.__init__(self, remove_list=remove_list, multi_remove=multi_remove)
def __init__(self, extras=None, *args, **kwargs):
self.extras = extras or {}
Transformer.__init__(self, *args, **kwargs)
def __init__(self):
Transformer.__init__(self, visit_tokens=True)
self.dcfile = DCFile()
def __init__(self):
Transformer.__init__(self)
self.lyl_scope = Pt.Module(None, None, [Pt.STD])
def DurationTransformer(self):
Transformer(self)
self.last_unit = None
def __init__(self, db, filters, default_namespace):
Transformer.__init__(self)
self.Filters = filters
self.DB = db
self.DefaultNamespace = default_namespace
self.CurrentParams = {}
@log
def stmt(self, items):
return self.recursive_join(items)
asciimath_parser = Lark(
r"""
stmt: _csl
exp: list
| mat
| NUMBER
mat: "[:" _csl? ":]"
list: (L _csl? R | DOT_L _csl? R | L _csl? DOT_R) -> list
L.0: "(" | "[" | "{{"
R.0: ")" | "]" | "}}"
DOT_L.1: "[:"
DOT_R.1: ":]"
_csl: exp (/,/? exp)* /,/?
%import common.WS
%import common.NUMBER
%ignore WS
""",
start="stmt",
parser="lalr",
debug=True,
)
text = """[:[1,3,[2,3,[1,[2,7]]]]:]"""
parsed_text = asciimath_parser.parse(text)
print(parsed_text.pretty())
print(Transformer().transform(parsed_text))
def __init__(self):
Transformer.__init__(self, visit_tokens=True)
