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data_dict = dict(
# This maps each node to the loops enclosing that node
node_loops={
node._tree_index: [n._tree_index for n in node._loops]
for node, _ in nodes
if node._loops
},
)
if typ == 'function':
tokens = traced_file.tokens
func_node = only(node
for node, _ in nodes
if isinstance(node, ast.FunctionDef)
and node.first_token.start[0] == start_lineno)
func_startpos, source = source_without_decorators(tokens, func_node)
# These are for the PyCharm plugin
data_dict.update(
node_ranges=list(self._node_ranges(nodes, tokens, func_startpos)),
loop_ranges=list(self._loop_ranges(nodes, tokens, func_startpos)),
)
data = json.dumps(data_dict, sort_keys=True)
db_func = self._db_func(data, filename, html_body, name, start_lineno, source, typ)
self._code_infos[code] = CodeInfo(db_func, traced_file, arg_names)
data_dict = dict(
# This maps each node to the loops enclosing that node
node_loops={
node._tree_index: [n._tree_index for n in node._loops]
for node, _ in nodes
if node._loops
},
)
if typ == 'function':
tokens = traced_file.tokens
func_node = only(node
for node, _ in nodes
if isinstance(node, ast.FunctionDef)
and node.first_token.start[0] == start_lineno)
func_startpos, source = source_without_decorators(tokens, func_node)
# These are for the PyCharm plugin
data_dict.update(
node_ranges=list(self._node_ranges(nodes, tokens, func_startpos)),
loop_ranges=list(self._loop_ranges(nodes, tokens, func_startpos)),
)
data = json.dumps(data_dict, sort_keys=True)
db_func = self._db_func(data, filename, html_body, name, start_lineno, source, typ)
self._code_infos[code] = CodeInfo(db_func, traced_file, arg_names)