hub/venv/lib/python3.7/site-packages/parso/python/parser.py

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from parso.python import tree
from parso.python.token import PythonTokenTypes
from parso.parser import BaseParser
NAME = PythonTokenTypes.NAME
INDENT = PythonTokenTypes.INDENT
DEDENT = PythonTokenTypes.DEDENT
class Parser(BaseParser):
"""
This class is used to parse a Python file, it then divides them into a
class structure of different scopes.
:param pgen_grammar: The grammar object of pgen2. Loaded by load_grammar.
"""
node_map = {
'expr_stmt': tree.ExprStmt,
'classdef': tree.Class,
'funcdef': tree.Function,
'file_input': tree.Module,
'import_name': tree.ImportName,
'import_from': tree.ImportFrom,
'break_stmt': tree.KeywordStatement,
'continue_stmt': tree.KeywordStatement,
'return_stmt': tree.ReturnStmt,
'raise_stmt': tree.KeywordStatement,
'yield_expr': tree.YieldExpr,
'del_stmt': tree.KeywordStatement,
'pass_stmt': tree.KeywordStatement,
'global_stmt': tree.GlobalStmt,
'nonlocal_stmt': tree.KeywordStatement,
'print_stmt': tree.KeywordStatement,
'assert_stmt': tree.AssertStmt,
'if_stmt': tree.IfStmt,
'with_stmt': tree.WithStmt,
'for_stmt': tree.ForStmt,
'while_stmt': tree.WhileStmt,
'try_stmt': tree.TryStmt,
'sync_comp_for': tree.SyncCompFor,
# Not sure if this is the best idea, but IMO it's the easiest way to
# avoid extreme amounts of work around the subtle difference of 2/3
# grammar in list comoprehensions.
'list_for': tree.SyncCompFor,
'decorator': tree.Decorator,
'lambdef': tree.Lambda,
'old_lambdef': tree.Lambda,
'lambdef_nocond': tree.Lambda,
}
default_node = tree.PythonNode
# Names/Keywords are handled separately
_leaf_map = {
PythonTokenTypes.STRING: tree.String,
PythonTokenTypes.NUMBER: tree.Number,
PythonTokenTypes.NEWLINE: tree.Newline,
PythonTokenTypes.ENDMARKER: tree.EndMarker,
PythonTokenTypes.FSTRING_STRING: tree.FStringString,
PythonTokenTypes.FSTRING_START: tree.FStringStart,
PythonTokenTypes.FSTRING_END: tree.FStringEnd,
}
def __init__(self, pgen_grammar, error_recovery=True, start_nonterminal='file_input'):
super(Parser, self).__init__(pgen_grammar, start_nonterminal,
error_recovery=error_recovery)
self.syntax_errors = []
self._omit_dedent_list = []
self._indent_counter = 0
def parse(self, tokens):
if self._error_recovery:
if self._start_nonterminal != 'file_input':
raise NotImplementedError
tokens = self._recovery_tokenize(tokens)
return super(Parser, self).parse(tokens)
def convert_node(self, nonterminal, children):
"""
Convert raw node information to a PythonBaseNode instance.
This is passed to the parser driver which calls it whenever a reduction of a
grammar rule produces a new complete node, so that the tree is build
strictly bottom-up.
"""
try:
node = self.node_map[nonterminal](children)
except KeyError:
if nonterminal == 'suite':
# We don't want the INDENT/DEDENT in our parser tree. Those
# leaves are just cancer. They are virtual leaves and not real
# ones and therefore have pseudo start/end positions and no
# prefixes. Just ignore them.
children = [children[0]] + children[2:-1]
elif nonterminal == 'list_if':
# Make transitioning from 2 to 3 easier.
nonterminal = 'comp_if'
elif nonterminal == 'listmaker':
# Same as list_if above.
nonterminal = 'testlist_comp'
node = self.default_node(nonterminal, children)
for c in children:
c.parent = node
return node
def convert_leaf(self, type, value, prefix, start_pos):
# print('leaf', repr(value), token.tok_name[type])
if type == NAME:
if value in self._pgen_grammar.reserved_syntax_strings:
return tree.Keyword(value, start_pos, prefix)
else:
return tree.Name(value, start_pos, prefix)
return self._leaf_map.get(type, tree.Operator)(value, start_pos, prefix)
def error_recovery(self, token):
tos_nodes = self.stack[-1].nodes
if tos_nodes:
last_leaf = tos_nodes[-1].get_last_leaf()
else:
last_leaf = None
if self._start_nonterminal == 'file_input' and \
(token.type == PythonTokenTypes.ENDMARKER
or token.type == DEDENT and not last_leaf.value.endswith('\n')
and not last_leaf.value.endswith('\r')):
# In Python statements need to end with a newline. But since it's
# possible (and valid in Python) that there's no newline at the
# end of a file, we have to recover even if the user doesn't want
# error recovery.
if self.stack[-1].dfa.from_rule == 'simple_stmt':
try:
plan = self.stack[-1].dfa.transitions[PythonTokenTypes.NEWLINE]
except KeyError:
pass
else:
if plan.next_dfa.is_final and not plan.dfa_pushes:
# We are ignoring here that the newline would be
# required for a simple_stmt.
self.stack[-1].dfa = plan.next_dfa
self._add_token(token)
return
if not self._error_recovery:
return super(Parser, self).error_recovery(token)
def current_suite(stack):
# For now just discard everything that is not a suite or
# file_input, if we detect an error.
for until_index, stack_node in reversed(list(enumerate(stack))):
# `suite` can sometimes be only simple_stmt, not stmt.
if stack_node.nonterminal == 'file_input':
break
elif stack_node.nonterminal == 'suite':
# In the case where we just have a newline we don't want to
# do error recovery here. In all other cases, we want to do
# error recovery.
if len(stack_node.nodes) != 1:
break
return until_index
until_index = current_suite(self.stack)
if self._stack_removal(until_index + 1):
self._add_token(token)
else:
typ, value, start_pos, prefix = token
if typ == INDENT:
# For every deleted INDENT we have to delete a DEDENT as well.
# Otherwise the parser will get into trouble and DEDENT too early.
self._omit_dedent_list.append(self._indent_counter)
error_leaf = tree.PythonErrorLeaf(typ.name, value, start_pos, prefix)
self.stack[-1].nodes.append(error_leaf)
tos = self.stack[-1]
if tos.nonterminal == 'suite':
# Need at least one statement in the suite. This happend with the
# error recovery above.
try:
tos.dfa = tos.dfa.arcs['stmt']
except KeyError:
# We're already in a final state.
pass
def _stack_removal(self, start_index):
all_nodes = [node for stack_node in self.stack[start_index:] for node in stack_node.nodes]
if all_nodes:
node = tree.PythonErrorNode(all_nodes)
for n in all_nodes:
n.parent = node
self.stack[start_index - 1].nodes.append(node)
self.stack[start_index:] = []
return bool(all_nodes)
def _recovery_tokenize(self, tokens):
for token in tokens:
typ = token[0]
if typ == DEDENT:
# We need to count indents, because if we just omit any DEDENT,
# we might omit them in the wrong place.
o = self._omit_dedent_list
if o and o[-1] == self._indent_counter:
o.pop()
self._indent_counter -= 1
continue
self._indent_counter -= 1
elif typ == INDENT:
self._indent_counter += 1
yield token