我的脚本使用预先生成的数据模式逐块写入文件:
# Data pattern generator
def get_random_chunk_pattern():
return ''.join(random.choice(ascii_uppercase + digits + ascii_lowercase) for _ in range(8))
....
# DedupChunk class CTOR:
class DedupChunk:
def __init__(self, chunk_size, chunk_pattern, chunk_position=0, state=DedupChunkStates.PENDING):
self._chunk_size = chunk_size # chunk size in bytes
self._chunk_pattern = chunk_pattern
self._chunk_position = chunk_position
self._state = state
self.mapping = None
@property
def size(self):
return self._chunk_size
@property
def pattern(self):
return self._chunk_pattern
@property
def position(self):
return self._chunk_position
@property
def state(self):
return self._state
....
# Here Chunk object is being initialized (inside other class's CTOR):
chunk_size = random.randint(64, 192) * 1024 # in bytes
while (position + chunk_size) < self.file_size: # generating random chunks number
self.chunks.append(DedupChunk(chunk_size, DedupChunkPattern.get_random_chunk_pattern(), position))
....
# Actual writing
with open(self.path, 'rb+') as f:
for chunk in self.chunks:
f.write(chunk.pattern * (chunk.size // 8))
PyCharm
在写入方法中显示“Expected type 'Union[str, bytearray]' got 'int' instead
”警告
但是当删除除法时
f.write(chunk.pattern * chunk.size)
,或者在外面做除法:
chunk.size //= 8
f.write(chunk.pattern * chunk.size)
警告消失
这里到底发生了什么?
谢谢
忽略此警告。 IDE 正在(根据有限的信息)对运行时的数据类型进行最佳猜测,但它的猜测是错误的。也就是说,如果您不知道某个东西实际上是什么,则可以相当合理地预期某个东西乘以
int
将得到 int
。
如果您确实想解决这个问题,请通过为您的类编写文档字符串(或使用注释来提供类型提示)来告诉 IDE 您的期望
chunk.pattern
。
例如。
class DedupChunk:
"""
:type _chunk_pattern: str
... other fields
"""
... # rest of class
对于较新版本的 python,首选语法是:
class DedupChunk:
def __init__(self,
chunk_pattern: str,
# ... more args
):
self._chunk_pattern = chunk_pattern
... # rest of class
对于局部变量或类变量,您可以对变量进行注释。
# given f() has an unknown return type
foo: str = f() # annotate as type str and initalise
bar: str # only annotate as type str, but leave uninitialised
class MyClass:
foo: str = f()
bar: str
要忽略内联警告,请将此注释添加到导致警告的行上方
# noinspection PyTypeChecker
我遇到这个问题是因为我使用了
x=int|list[int]
而不是 x:int|list[int]