forked from VimPlug/jedi
392 lines
16 KiB
Python
392 lines
16 KiB
Python
import copy
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from collections import defaultdict
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from itertools import chain
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from jedi._compatibility import unicode, zip_longest
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from jedi import debug
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from jedi import common
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from jedi.parser import tree as pr
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from jedi.evaluate import iterable
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from jedi.evaluate import analysis
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from jedi.evaluate import precedence
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class Arguments(pr.Base):
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def __init__(self, evaluator, argument_node, trailer=None):
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"""
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The argument_node is either a parser node or a list of evaluated
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objects. Those evaluated objects may be lists of evaluated objects
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themselves (one list for the first argument, one for the second, etc).
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:param argument_node: May be an argument_node or a list of nodes.
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"""
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self.argument_node = argument_node
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self._evaluator = evaluator
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self.trailer = trailer # Can be None, e.g. in a class definition.
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def _split(self):
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if isinstance(self.argument_node, (tuple, list)):
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for el in self.argument_node:
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yield 0, el
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else:
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if not pr.is_node(self.argument_node, 'arglist'):
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yield 0, self.argument_node
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return
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iterator = iter(self.argument_node.children)
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for child in iterator:
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if child == ',':
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continue
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elif child in ('*', '**'):
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yield len(child.value), next(iterator)
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else:
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yield 0, child
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def get_parent_until(self, *args, **kwargs):
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return self.trailer.get_parent_until(*args, **kwargs)
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def as_tuple(self):
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for stars, argument in self._split():
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if pr.is_node(argument, 'argument'):
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argument, default = argument.children[::2]
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else:
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default = None
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yield argument, default, stars
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def unpack(self, func=None):
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named_args = []
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for stars, el in self._split():
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if stars == 1:
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arrays = self._evaluator.eval_element(el)
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iterators = [_iterate_star_args(self._evaluator, a, el, func)
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for a in arrays]
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iterators = list(iterators)
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for values in list(zip_longest(*iterators)):
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yield None, [v for v in values if v is not None]
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elif stars == 2:
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arrays = self._evaluator.eval_element(el)
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dicts = [_star_star_dict(self._evaluator, a, el, func)
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for a in arrays]
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for dct in dicts:
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for key, values in dct.items():
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yield key, values
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else:
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if pr.is_node(el, 'argument'):
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named_args.append((el.children[0].value, (el.children[2],)))
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elif isinstance(el, (list, tuple)):
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yield None, el
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else:
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yield None, (el,)
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# Reordering var_args is necessary, because star args sometimes appear
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# after named argument, but in the actual order it's prepended.
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for key_arg in named_args:
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yield key_arg
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def _reorder_var_args(var_args):
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named_index = None
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new_args = []
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for i, stmt in enumerate(var_args):
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if isinstance(stmt, pr.ExprStmt):
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if named_index is None and stmt.assignment_details:
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named_index = i
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if named_index is not None:
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expression_list = stmt.expression_list()
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if expression_list and expression_list[0] == '*':
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new_args.insert(named_index, stmt)
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named_index += 1
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continue
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new_args.append(stmt)
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return new_args
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def eval_argument_clinic(self, arguments):
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"""Uses a list with argument clinic information (see PEP 436)."""
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iterator = self.unpack()
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for i, (name, optional, allow_kwargs) in enumerate(arguments):
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key, va_values = next(iterator, (None, []))
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if key is not None:
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raise NotImplementedError
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if not va_values and not optional:
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debug.warning('TypeError: %s expected at least %s arguments, got %s',
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name, len(arguments), i)
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raise ValueError
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values = list(chain.from_iterable(self._evaluator.eval_element(el)
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for el in va_values))
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if not values and not optional:
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# For the stdlib we always want values. If we don't get them,
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# that's ok, maybe something is too hard to resolve, however,
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# we will not proceed with the evaluation of that function.
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debug.warning('argument_clinic "%s" not resolvable.', name)
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raise ValueError
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yield values
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def scope(self):
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# Returns the scope in which the arguments are used.
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return (self.trailer or self.argument_node).get_parent_until(pr.IsScope)
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def eval_args(self):
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# TODO this method doesn't work with named args and a lot of other
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# things. Use unpack.
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return [self._evaluator.eval_element(el) for stars, el in self._split()]
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def __repr__(self):
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return '<%s: %s>' % (type(self).__name__, self.argument_node)
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def get_calling_var_args(self):
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if pr.is_node(self.argument_node, 'arglist', 'argument') \
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or self.argument_node == () and self.trailer is not None:
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return _get_calling_var_args(self._evaluator, self)
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else:
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return None
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class ExecutedParam(pr.Param):
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"""Fake a param and give it values."""
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def __init__(self, original_param, var_args, values):
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self._original_param = original_param
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self.var_args = var_args
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self._values = values
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def eval(self, evaluator):
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types = []
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for v in self._values:
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types += evaluator.eval_element(v)
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return types
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@property
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def position_nr(self):
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# Need to use the original logic here, because it uses the parent.
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return self._original_param.position_nr
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def __getattr__(self, name):
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return getattr(self._original_param, name)
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def _get_calling_var_args(evaluator, var_args):
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old_var_args = None
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while var_args != old_var_args:
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old_var_args = var_args
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for name, default, stars in reversed(list(var_args.as_tuple())):
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if not stars or not isinstance(name, pr.Name):
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continue
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names = evaluator.goto(name)
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if len(names) != 1:
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break
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param = names[0].get_definition()
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if not isinstance(param, ExecutedParam):
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if isinstance(param, pr.Param):
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# There is no calling var_args in this case - there's just
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# a param without any input.
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return None
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break
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# We never want var_args to be a tuple. This should be enough for
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# now, we can change it later, if we need to.
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if isinstance(param.var_args, Arguments):
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var_args = param.var_args
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return var_args.argument_node or var_args.trailer
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def get_params(evaluator, func, var_args):
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result = []
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param_dict = {}
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for param in func.params:
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param_dict[str(param.get_name())] = param
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unpacked_va = list(var_args.unpack(func))
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from jedi.evaluate.representation import InstanceElement
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if isinstance(func, InstanceElement):
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# Include self at this place.
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unpacked_va.insert(0, (None, [iterable.AlreadyEvaluated([func.instance])]))
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var_arg_iterator = common.PushBackIterator(iter(unpacked_va))
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non_matching_keys = defaultdict(lambda: [])
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keys_used = {}
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keys_only = False
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had_multiple_value_error = False
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for param in func.params:
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# The value and key can both be null. There, the defaults apply.
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# args / kwargs will just be empty arrays / dicts, respectively.
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# Wrong value count is just ignored. If you try to test cases that are
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# not allowed in Python, Jedi will maybe not show any completions.
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default = [] if param.default is None else [param.default]
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key, va_values = next(var_arg_iterator, (None, default))
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while key is not None:
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keys_only = True
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k = unicode(key)
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try:
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key_param = param_dict[unicode(key)]
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except KeyError:
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non_matching_keys[key] += va_values
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else:
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result.append(_gen_param_name_copy(evaluator, key_param, var_args,
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va_values))
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if k in keys_used:
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had_multiple_value_error = True
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m = ("TypeError: %s() got multiple values for keyword argument '%s'."
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% (func.name, k))
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calling_va = _get_calling_var_args(evaluator, var_args)
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if calling_va is not None:
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analysis.add(evaluator, 'type-error-multiple-values',
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calling_va, message=m)
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else:
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try:
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keys_used[k] = result[-1]
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except IndexError:
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# TODO this is wrong stupid and whatever.
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pass
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key, va_values = next(var_arg_iterator, (None, ()))
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values = []
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if param.stars == 1:
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# *args param
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lst_values = [iterable.MergedNodes(va_values)] if va_values else []
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for key, va_values in var_arg_iterator:
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# Iterate until a key argument is found.
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if key:
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var_arg_iterator.push_back((key, va_values))
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break
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if va_values:
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lst_values.append(iterable.MergedNodes(va_values))
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seq = iterable.FakeSequence(evaluator, lst_values, 'tuple')
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values = [iterable.AlreadyEvaluated([seq])]
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elif param.stars == 2:
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# **kwargs param
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dct = iterable.FakeDict(evaluator, dict(non_matching_keys))
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values = [iterable.AlreadyEvaluated([dct])]
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non_matching_keys = {}
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else:
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# normal param
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if va_values:
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values = va_values
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else:
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# No value: Return an empty container
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values = []
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if not keys_only:
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calling_va = var_args.get_calling_var_args()
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if calling_va is not None:
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m = _error_argument_count(func, len(unpacked_va))
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analysis.add(evaluator, 'type-error-too-few-arguments',
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calling_va, message=m)
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# Now add to result if it's not one of the previously covered cases.
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if (not keys_only or param.stars == 2):
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result.append(_gen_param_name_copy(evaluator, param, var_args,
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values))
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keys_used[unicode(param.get_name())] = result[-1]
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if keys_only:
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# All arguments should be handed over to the next function. It's not
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# about the values inside, it's about the names. Jedi needs to now that
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# there's nothing to find for certain names.
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for k in set(param_dict) - set(keys_used):
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param = param_dict[k]
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values = [] if param.default is None else [param.default]
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result.append(_gen_param_name_copy(evaluator, param, var_args, values))
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if not (non_matching_keys or had_multiple_value_error
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or param.stars or param.default):
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# add a warning only if there's not another one.
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calling_va = _get_calling_var_args(evaluator, var_args)
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if calling_va is not None:
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m = _error_argument_count(func, len(unpacked_va))
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analysis.add(evaluator, 'type-error-too-few-arguments',
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calling_va, message=m)
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for key, va_values in non_matching_keys.items():
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m = "TypeError: %s() got an unexpected keyword argument '%s'." \
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% (func.name, key)
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for value in va_values:
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analysis.add(evaluator, 'type-error-keyword-argument', value.parent, message=m)
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remaining_params = list(var_arg_iterator)
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if remaining_params:
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m = _error_argument_count(func, len(unpacked_va))
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# Just report an error for the first param that is not needed (like
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# cPython).
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first_key, first_values = remaining_params[0]
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for v in first_values:
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if first_key is not None:
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# Is a keyword argument, return the whole thing instead of just
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# the value node.
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v = v.parent
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try:
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non_kw_param = keys_used[first_key]
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except KeyError:
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pass
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else:
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origin_args = non_kw_param.parent.var_args.argument_node
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# TODO calculate the var_args tree and check if it's in
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# the tree (if not continue).
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# print('\t\tnonkw', non_kw_param.parent.var_args.argument_node, )
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if origin_args not in [f.parent.parent for f in first_values]:
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continue
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analysis.add(evaluator, 'type-error-too-many-arguments',
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v, message=m)
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return result
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def _iterate_star_args(evaluator, array, input_node, func=None):
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from jedi.evaluate.representation import Instance
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if isinstance(array, iterable.Array):
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for field_stmt in array: # yield from plz!
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yield field_stmt
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elif isinstance(array, iterable.Generator):
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for field_stmt in array.iter_content():
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yield iterable.AlreadyEvaluated([field_stmt])
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elif isinstance(array, Instance) and array.name.get_code() == 'tuple':
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debug.warning('Ignored a tuple *args input %s' % array)
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else:
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if func is not None:
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m = "TypeError: %s() argument after * must be a sequence, not %s" \
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% (func.name.value, array)
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analysis.add(evaluator, 'type-error-star', input_node, message=m)
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def _star_star_dict(evaluator, array, input_node, func):
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dct = defaultdict(lambda: [])
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from jedi.evaluate.representation import Instance
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if isinstance(array, Instance) and array.name.get_code() == 'dict':
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# For now ignore this case. In the future add proper iterators and just
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# make one call without crazy isinstance checks.
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return {}
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if isinstance(array, iterable.FakeDict):
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return array._dct
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elif isinstance(array, iterable.Array) and array.type == 'dict':
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# TODO bad call to non-public API
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for key_node, values in array._items():
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for key in evaluator.eval_element(key_node):
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if precedence.is_string(key):
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dct[key.obj] += values
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else:
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if func is not None:
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m = "TypeError: %s argument after ** must be a mapping, not %s" \
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% (func.name.value, array)
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analysis.add(evaluator, 'type-error-star-star', input_node, message=m)
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return dict(dct)
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def _gen_param_name_copy(evaluator, param, var_args, values):
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"""
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Create a param with the original scope (of varargs) as parent.
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"""
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new_param = ExecutedParam(param, var_args, values)
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name = copy.copy(param.get_name())
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name.parent = new_param
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return name
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def _error_argument_count(func, actual_count):
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default_arguments = sum(1 for p in func.params if p.default or p.stars)
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if default_arguments == 0:
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before = 'exactly '
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else:
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before = 'from %s to ' % (len(func.params) - default_arguments)
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return ('TypeError: %s() takes %s%s arguments (%s given).'
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% (func.name, before, len(func.params), actual_count))
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