有了这个功能:
def extract_flat_branch(nested_dict, c = []):
for i in ['left', 'op', 'right', 'func', 'value', 'args',
'ctx', 'body', 'comparators', 'ops', 'test', 'orelse', 'targets', 'slice']:
if i in nested_dict:
if isinstance(nested_dict[i], list):
for b in nested_dict[i]:
yield from extract_flat_branch(b, c+[nested_dict['_type']])
else:
yield from extract_flat_branch(nested_dict[i], c+[nested_dict['_type']])
lis = [c+[nested_dict['_type'], i] for i in filter(None, [nested_dict.get(j) for j in ['n', 'id']])]
yield from lis if lis else [c+[nested_dict['_type']]] if len(nested_dict) == 1 else []
我正在遍历并提取表示为这本字典 ( my_dict ) 的树的分支,作为字符串列表,其中树的所有分支都是平面列表的元素。但是,出于某种原因,当我这样做时:
在:
print(list(extract_flat_branch(my_dict)))
而不是得到类似这样的输出:
[[node_1, node_2, .., node_n],[node_1, node_2, .., node_n],...,[node_1, node_2, .., node_n]]
我得到:
TypeError: argument of type 'NoneType' is not iterable
基于此blog ,我认为问题出在我正在使用的 .get(j)
上。但是,如果我执行 nested_dict.get(j) 或 {} for j in ['n', 'id']])
,我仍然得到相同的 TypeError
。知道如何解决这个问题并获得树分支的平面列表吗?
这是完整跟踪:
TypeError Traceback (most recent call last)
<ipython-input-4-51bfd7bbf4e4> in <module>
1 for i,j in enumerate(a_lis):
2 print(i)
----> 3 print(list(extract_flat_branch(j)))
~/dir/util.py in extract_flat_branch(nested_dict, c)
38 if isinstance(nested_dict[i], list):
39 for b in nested_dict[i]:
---> 40 yield from extract_flat_branch(b, c+[nested_dict['_type']])
41 else:
42 yield from extract_flat_branch(nested_dict[i], c+[nested_dict['_type']])
~/dir/util.py in extract_flat_branch(nested_dict, c)
38 if isinstance(nested_dict[i], list):
39 for b in nested_dict[i]:
---> 40 yield from extract_flat_branch(b, c+[nested_dict['_type']])
41 else:
42 yield from extract_flat_branch(nested_dict[i], c+[nested_dict['_type']])
~/dir/util.py in extract_flat_branch(nested_dict, c)
40 yield from extract_flat_branch(b, c+[nested_dict['_type']])
41 else:
---> 42 yield from extract_flat_branch(nested_dict[i], c+[nested_dict['_type']])
43 lis = [c+[nested_dict['_type'], i] for i in filter(None, [nested_dict.get(j) for j in ['n', 'id']])]
44 yield from lis if lis else [c+[nested_dict['_type']]] if len(nested_dict) == 1 else []
~/dir/util.py in extract_flat_branch(nested_dict, c)
38 if isinstance(nested_dict[i], list):
39 for b in nested_dict[i]:
---> 40 yield from extract_flat_branch(b, c+[nested_dict['_type']])
41 else:
42 yield from extract_flat_branch(nested_dict[i], c+[nested_dict['_type']])
~/dir/util.py in extract_flat_branch(nested_dict, c)
40 yield from extract_flat_branch(b, c+[nested_dict['_type']])
41 else:
---> 42 yield from extract_flat_branch(nested_dict[i], c+[nested_dict['_type']])
43 lis = [c+[nested_dict['_type'], i] for i in filter(None, [nested_dict.get(j) for j in ['n', 'id']])]
44 yield from lis if lis else [c+[nested_dict['_type']]] if len(nested_dict) == 1 else []
~/dir/util.py in extract_flat_branch(nested_dict, c)
35 for i in ['left', 'op', 'right', 'func', 'value', 'args',
36 'ctx', 'body', 'comparators', 'ops', 'test', 'orelse', 'targets', 'slice']:
---> 37 if i in nested_dict:
38 if isinstance(nested_dict[i], list):
39 for b in nested_dict[i]:
TypeError: argument of type 'NoneType' is not iterable
最佳答案
出现 NoneType
错误是因为在您的数据中有一个特定的 "value"
键,该键被散列为相应的 None
。 “value”
是函数签名下方键列表中的目标键,当前逻辑尝试检查函数输入 nested_dict
中是否存在任何此类键。对于具有 None
值的目标键,您想要的输出是什么是相当不清楚的,但一个简单的解决方法是检查并忽略这种情况:
def extract_flat_branch(nested_dict, c = []):
for i in ['left', 'op', 'right', 'func', 'value', 'args', 'ctx', 'body', 'comparators', 'ops', 'test', 'orelse', 'targets', 'slice', 'n', 'id']:
if i in nested_dict:
if isinstance(nested_dict[i], list):
for b in nested_dict[i]:
yield from extract_flat_branch(b, c+[nested_dict['_type']])
elif isinstance(nested_dict[i], dict): #simple check here
yield from extract_flat_branch(nested_dict[i], c+[nested_dict['_type']])
else:
yield c+[nested_dict[i]]
print(list(extract_flat_branch(data)))
输出:
[['FunctionDef', 'Assign', 'Call', 'Name', 'Load'], ['FunctionDef', 'Assign', 'Call', 'Name', 'list'], ['FunctionDef', 'Assign', 'Call', 'Name', 'Load'], ['FunctionDef', 'Assign', 'Call', 'Name', 'items'], ['FunctionDef', 'Assign', 'Name', 'Store'], ['FunctionDef', 'Assign', 'Name', 'items'], ['FunctionDef', 'Assign', 'Call', 'Name', 'Load'], ['FunctionDef', 'Assign', 'Call', 'Name', 'next_power_of_two'], ['FunctionDef', 'Assign', 'Call', 'Call', 'Name', 'Load'], ['FunctionDef', 'Assign', 'Call', 'Call', 'Name', 'int'], ['FunctionDef', 'Assign', 'Call', 'Call', 'BinOp', 'Num', 1.2], ['FunctionDef', 'Assign', 'Call', 'Call', 'BinOp', 'Mult'], ['FunctionDef', 'Assign', 'Call', 'Call', 'BinOp', 'Call', 'Name', 'Load'], ['FunctionDef', 'Assign', 'Call', 'Call', 'BinOp', 'Call', 'Name', 'len'], ['FunctionDef', 'Assign', 'Call', 'Call', 'BinOp', 'Call', 'Name', 'Load'], ['FunctionDef', 'Assign', 'Call', 'Call', 'BinOp', 'Call', 'Name', 'items'], ['FunctionDef', 'Assign', 'Name', 'Store'], ['FunctionDef', 'Assign', 'Name', 'size'], ['FunctionDef', 'Assign', 'BinOp', 'List', 'Load'], ['FunctionDef', 'Assign', 'BinOp', 'Mult'], ['FunctionDef', 'Assign', 'BinOp', 'Name', 'Load'], ['FunctionDef', 'Assign', 'BinOp', 'Name', 'size'], ['FunctionDef', 'Assign', 'Name', 'Store'], ['FunctionDef', 'Assign', 'Name', 'table'], ['FunctionDef', 'For', 'Assign', 'BinOp', 'Call', 'Name', 'Load'], ['FunctionDef', 'For', 'Assign', 'BinOp', 'Call', 'Name', 'hash_function'], ['FunctionDef', 'For', 'Assign', 'BinOp', 'Call', 'Name', 'Load'], ['FunctionDef', 'For', 'Assign', 'BinOp', 'Call', 'Name', 'i'], ['FunctionDef', 'For', 'Assign', 'BinOp', 'Mod'], ['FunctionDef', 'For', 'Assign', 'BinOp', 'Name', 'Load'], ['FunctionDef', 'For', 'Assign', 'BinOp', 'Name', 'size'], ['FunctionDef', 'For', 'Assign', 'Name', 'Store'], ['FunctionDef', 'For', 'Assign', 'Name', 'h'], ['FunctionDef', 'For', 'Assign', 'Name', 'Store'], ['FunctionDef', 'For', 'Assign', 'Name', 's'], ['FunctionDef', 'For', 'While', 'AugAssign', 'Add'], ['FunctionDef', 'For', 'While', 'AugAssign', 'Num', 1], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'BinOp', 'Name', 'Load'], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'BinOp', 'Name', 'h'], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'BinOp', 'Add'], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'BinOp', 'Name', 'Load'], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'BinOp', 'Name', 's'], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'Mod'], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'Name', 'Load'], ['FunctionDef', 'For', 'While', 'Assign', 'BinOp', 'Name', 'size'], ['FunctionDef', 'For', 'While', 'Assign', 'Name', 'Store'], ['FunctionDef', 'For', 'While', 'Assign', 'Name', 'h'], ['FunctionDef', 'For', 'While', 'Compare', 'Subscript', 'Name', 'Load'], ['FunctionDef', 'For', 'While', 'Compare', 'Subscript', 'Name', 'table'], ['FunctionDef', 'For', 'While', 'Compare', 'Subscript', 'Load'], ['FunctionDef', 'For', 'While', 'Compare', 'Subscript', 'Index', 'Name', 'Load'], ['FunctionDef', 'For', 'While', 'Compare', 'Subscript', 'Index', 'Name', 'h'], ['FunctionDef', 'For', 'While', 'Compare', None], ['FunctionDef', 'For', 'While', 'Compare', 'IsNot'], ['FunctionDef', 'For', 'Assign', 'Name', 'Load'], ['FunctionDef', 'For', 'Assign', 'Name', 'i'], ['FunctionDef', 'For', 'Assign', 'Subscript', 'Name', 'Load'], ['FunctionDef', 'For', 'Assign', 'Subscript', 'Name', 'table'], ['FunctionDef', 'For', 'Assign', 'Subscript', 'Store'], ['FunctionDef', 'For', 'Assign', 'Subscript', 'Index', 'Name', 'Load'], ['FunctionDef', 'For', 'Assign', 'Subscript', 'Index', 'Name', 'h'], ['FunctionDef', 'Return', 'Name', 'Load'], ['FunctionDef', 'Return', 'Name', 'table']]
更新的解决方案:
def extract_flat_branch(nested_dict, c = []):
targets = {'left', 'op', 'right', 'func', 'value', 'args', 'ctx', 'body', 'comparators', 'ops', 'test', 'orelse', 'targets', 'slice', 'n', 'id', 'slice', 'annotation', 'arg', 'elts', 's', '_type'}
for a, b in nested_dict.items():
if a in targets:
if isinstance(b, dict):
yield from extract_flat_branch(b, c+[a])
elif isinstance(b, list):
for i in b:
yield from extract_flat_branch(i, c+[a])
else:
yield c+[b]
print(list(extract_flat_branch(data)))
输出:
[['FunctionDef'], ['args', 'arguments'], ['args', 'args', 'arg'], ['args', 'args', None], ['args', 'args', 'self'], ['body', 'Expr'], ['body', 'value', 'Str'], ['body', 'value', 'Like items(), but with all lowercase keys.'], ['body', 'Return'], ['body', 'value', 'GeneratorExp']]
关于python - “NoneType”在递归解析字典时不可迭代?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/57275492/