问题描述
事实证明这比我预期的要棘手.我有一个字节串:
data = b'abcdefghijklmnopqrstuvwxyz'
我想以 n 个字节的块读取这些数据.在 Python 2 下,只需对 itertools
文档中的 grouper
配方稍作修改即可:
def grouper(iterable, n, fillvalue=None):将数据收集到固定长度的块或块中"# grouper('ABCDEFG', 3, 'x') -->ABC DEF Gxxargs = [iter(iterable)] * nreturn (''.join(x) for x in izip_longest(fillvalue=fillvalue, *args))
有了这个,我可以打电话:
>>>列表(石斑鱼(数据,2))并得到:
['ab', 'cd', 'ef', 'gh', 'ij', 'kl', 'mn', 'op', 'qr', 'st', 'uv', 'wx', 'yz']
在 Python 3 下,这变得更加棘手.grouper
函数写成只是摔倒了:
这是因为在 Python 3 中,当您遍历一个字节串(如 b'foo'
)时,您会得到一个整数列表,而不是一个字节列表:
python 3 bytes
函数将在这里提供帮助:
def grouper(iterable, n, fillvalue=None):将数据收集到固定长度的块或块中"# grouper('ABCDEFG', 3, 'x') -->ABC DEF Gxxargs = [iter(iterable)] * nreturn (bytes(x) for x in izip_longest(fillvalue=fillvalue, *args))
使用它,我得到了我想要的:
>>>列表(石斑鱼(数据,2))[b'ab', b'cd', b'ef', b'gh', b'ij', b'kl', b'mn', b'op', b'qr', b'st', b'uv', b'wx', b'yz']但是(当然!)Python 2 下的 bytes
函数不起作用一样的方法.它只是 str
的别名,所以结果是:
...这根本没有帮助.我最终写了以下内容:
def to_bytes(s):如果六.PY3:返回字节别的:返回 ''.encode('utf-8').join(list(s))def grouper(iterable, n, fillvalue=None):将数据收集到固定长度的块或块中"# grouper('ABCDEFG', 3, 'x') -->ABC DEF Gxxargs = [iter(iterable)] * nreturn (to_bytes(x) for x in izip_longest(fillvalue=fillvalue, *args))
这似乎有效,但这真的是方法吗?
Funcy(一个提供各种有用实用程序的库,支持 Python 2 和 3)提供了一个 chunks
函数就是这样做的:
或者,您可以在程序中包含一个简单的实现(与 Python 2.7 和 3 兼容):
def 分块(大小,来源):对于范围内的 i (0, len(source), size):产量来源[i:i+size]
它的行为是相同的(至少对于您的数据而言;Funcy 的 chunks
也适用于迭代器,但不能):
This is turning out to be trickier than I expected. I have a byte string:
data = b'abcdefghijklmnopqrstuvwxyz'
I want to read this data in chunks of n bytes. Under Python 2, this is trivial using a minor modification to the grouper
recipe from the itertools
documentation:
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx
args = [iter(iterable)] * n
return (''.join(x) for x in izip_longest(fillvalue=fillvalue, *args))
With this in place, I can call:
>>> list(grouper(data, 2))
And get:
['ab', 'cd', 'ef', 'gh', 'ij', 'kl', 'mn', 'op', 'qr', 'st', 'uv', 'wx', 'yz']
Under Python 3, this gets trickier. The grouper
function as writtensimply falls over:
>>> list(grouper(data, 2))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<stdin>", line 5, in <genexpr>
TypeError: sequence item 0: expected str instance, int found
And this is because in Python 3, when you iterate over a bytestring (like b'foo'
), you get a list of integers, rather than a list of bytes:
>>> list(b'foo')
[102, 111, 111]
The python 3 bytes
function will help out here:
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx
args = [iter(iterable)] * n
return (bytes(x) for x in izip_longest(fillvalue=fillvalue, *args))
Using that, I get what I want:
>>> list(grouper(data, 2))
[b'ab', b'cd', b'ef', b'gh', b'ij', b'kl', b'mn', b'op', b'qr', b'st', b'uv', b'wx', b'yz']
But (of course!) the bytes
function under Python 2 does not behavethe same way. It's just an alias for str
, so that results in:
>>> list(grouper(data, 2))
["('a', 'b')", "('c', 'd')", "('e', 'f')", "('g', 'h')", "('i', 'j')", "('k', 'l')", "('m', 'n')", "('o', 'p')", "('q', 'r')", "('s', 't')", "('u', 'v')", "('w', 'x')", "('y', 'z')"]
...which is not at all helpful. I ended up writing the following:
def to_bytes(s):
if six.PY3:
return bytes(s)
else:
return ''.encode('utf-8').join(list(s))
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx
args = [iter(iterable)] * n
return (to_bytes(x) for x in izip_longest(fillvalue=fillvalue, *args))
This seems to work, but is this really the way to do it?
Funcy (a library offering various useful utilities, supporting both Python 2 and 3) offers a chunks
function that does exactly this:
>>> import funcy
>>> data = b'abcdefghijklmnopqrstuvwxyz'
>>> list(funcy.chunks(6, data))
[b'abcdef', b'ghijkl', b'mnopqr', b'stuvwx', b'yz'] # Python 3
['abcdef', 'ghijkl', 'mnopqr', 'stuvwx', 'yz'] # Python 2.7
Alternatively, you could include a simple implementation of this in your program (compatible with both Python 2.7 and 3):
def chunked(size, source):
for i in range(0, len(source), size):
yield source[i:i+size]
It behaves the same (at least for your data; Funcy's chunks
also works with iterators, this doesn't):
>>> list(chunked(6, data))
[b'abcdef', b'ghijkl', b'mnopqr', b'stuvwx', b'yz'] # Python 3
['abcdef', 'ghijkl', 'mnopqr', 'stuvwx', 'yz'] # Python 2.7
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