字节到人类可读,然后回来。没有数据丢失

时间:2012-11-12 12:28:06

标签: python memory converter human-readable

我需要将包含内存使用量的字符串(例如:1048576(即1M)转换为人类可读的版本,反之亦然。

注意:我已经看过这里了: Reusable library to get human readable version of file size?

在这里(即使它不是python): How to convert human readable memory size into bytes?

到目前为止,没有什么能帮助我,所以我在其他地方寻找过。

我在这里找到了一些可以解决此问题的内容:http://code.google.com/p/pyftpdlib/source/browse/trunk/test/bench.py?spec=svn984&r=984#137或者,对于较短的网址:http://goo.gl/zeJZl

守则:

def bytes2human(n, format="%(value)i%(symbol)s"):
    """
    >>> bytes2human(10000)
    '9K'
    >>> bytes2human(100001221)
    '95M'
    """
    symbols = ('B', 'K', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y')
    prefix = {}
    for i, s in enumerate(symbols[1:]):
        prefix[s] = 1 << (i+1)*10
    for symbol in reversed(symbols[1:]):
        if n >= prefix[symbol]:
            value = float(n) / prefix[symbol]
            return format % locals()
    return format % dict(symbol=symbols[0], value=n)

还有另一种转换功能(同一网站):

def human2bytes(s):
    """
    >>> human2bytes('1M')
    1048576
    >>> human2bytes('1G')
    1073741824
    """
    symbols = ('B', 'K', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y')
    letter = s[-1:].strip().upper()
    num = s[:-1]
    assert num.isdigit() and letter in symbols
    num = float(num)
    prefix = {symbols[0]:1}
    for i, s in enumerate(symbols[1:]):
        prefix[s] = 1 << (i+1)*10
    return int(num * prefix[letter])

这很好,但它有一些信息丢失,例如:

>>> bytes2human(10000)
'9K'
>>> human2bytes('9K')
9216

为了尝试解决此问题,我更改了函数bytes2human

的格式

进入:format="%(value).3f%(symbol)s")

哪个更好,给我这些结果:

>>> bytes2human(10000)
'9.766K'

但是当我尝试使用human2bytes函数将其转换回来时:

>>> human2bytes('9.766K')

Traceback (most recent call last):
  File "<pyshell#366>", line 1, in <module>
    human2bytes('9.766K')
  File "<pyshell#359>", line 12, in human2bytes
    assert num.isdigit() and letter in symbols
AssertionError

这是因为.

所以我的问题是,如何将人类可读的版本转换回字节版本,而不会丢失数据?

注意:我知道3位小数也是一点点数据丢失。但是出于这个问题的目的,我们暂时忽略它,我总是可以将其改为更大的东西。

2 个答案:

答案 0 :(得分:6)

事实证明答案比我想象的要简单得多 - 我提供的其中一个链接实际上导致function的更详细版本:

哪个能够处理我给它的任何范围。

但是谢谢你的帮助:

这里为后人复制的代码:

## {{{ http://code.activestate.com/recipes/578019/ (r15)
#!/usr/bin/env python

"""
Bytes-to-human / human-to-bytes converter.
Based on: http://goo.gl/kTQMs
Working with Python 2.x and 3.x.

Author: Giampaolo Rodola' <g.rodola [AT] gmail [DOT] com>
License: MIT
"""

# see: http://goo.gl/kTQMs
SYMBOLS = {
    'customary'     : ('B', 'K', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y'),
    'customary_ext' : ('byte', 'kilo', 'mega', 'giga', 'tera', 'peta', 'exa',
                       'zetta', 'iotta'),
    'iec'           : ('Bi', 'Ki', 'Mi', 'Gi', 'Ti', 'Pi', 'Ei', 'Zi', 'Yi'),
    'iec_ext'       : ('byte', 'kibi', 'mebi', 'gibi', 'tebi', 'pebi', 'exbi',
                       'zebi', 'yobi'),
}

def bytes2human(n, format='%(value).1f %(symbol)s', symbols='customary'):
    """
    Convert n bytes into a human readable string based on format.
    symbols can be either "customary", "customary_ext", "iec" or "iec_ext",
    see: http://goo.gl/kTQMs

      >>> bytes2human(0)
      '0.0 B'
      >>> bytes2human(0.9)
      '0.0 B'
      >>> bytes2human(1)
      '1.0 B'
      >>> bytes2human(1.9)
      '1.0 B'
      >>> bytes2human(1024)
      '1.0 K'
      >>> bytes2human(1048576)
      '1.0 M'
      >>> bytes2human(1099511627776127398123789121)
      '909.5 Y'

      >>> bytes2human(9856, symbols="customary")
      '9.6 K'
      >>> bytes2human(9856, symbols="customary_ext")
      '9.6 kilo'
      >>> bytes2human(9856, symbols="iec")
      '9.6 Ki'
      >>> bytes2human(9856, symbols="iec_ext")
      '9.6 kibi'

      >>> bytes2human(10000, "%(value).1f %(symbol)s/sec")
      '9.8 K/sec'

      >>> # precision can be adjusted by playing with %f operator
      >>> bytes2human(10000, format="%(value).5f %(symbol)s")
      '9.76562 K'
    """
    n = int(n)
    if n < 0:
        raise ValueError("n < 0")
    symbols = SYMBOLS[symbols]
    prefix = {}
    for i, s in enumerate(symbols[1:]):
        prefix[s] = 1 << (i+1)*10
    for symbol in reversed(symbols[1:]):
        if n >= prefix[symbol]:
            value = float(n) / prefix[symbol]
            return format % locals()
    return format % dict(symbol=symbols[0], value=n)

def human2bytes(s):
    """
    Attempts to guess the string format based on default symbols
    set and return the corresponding bytes as an integer.
    When unable to recognize the format ValueError is raised.

      >>> human2bytes('0 B')
      0
      >>> human2bytes('1 K')
      1024
      >>> human2bytes('1 M')
      1048576
      >>> human2bytes('1 Gi')
      1073741824
      >>> human2bytes('1 tera')
      1099511627776

      >>> human2bytes('0.5kilo')
      512
      >>> human2bytes('0.1  byte')
      0
      >>> human2bytes('1 k')  # k is an alias for K
      1024
      >>> human2bytes('12 foo')
      Traceback (most recent call last):
          ...
      ValueError: can't interpret '12 foo'
    """
    init = s
    num = ""
    while s and s[0:1].isdigit() or s[0:1] == '.':
        num += s[0]
        s = s[1:]
    num = float(num)
    letter = s.strip()
    for name, sset in SYMBOLS.items():
        if letter in sset:
            break
    else:
        if letter == 'k':
            # treat 'k' as an alias for 'K' as per: http://goo.gl/kTQMs
            sset = SYMBOLS['customary']
            letter = letter.upper()
        else:
            raise ValueError("can't interpret %r" % init)
    prefix = {sset[0]:1}
    for i, s in enumerate(sset[1:]):
        prefix[s] = 1 << (i+1)*10
    return int(num * prefix[letter])


if __name__ == "__main__":
    import doctest
    doctest.testmod()
## end of http://code.activestate.com/recipes/578019/ }}}

答案 1 :(得分:4)

在你的最后一个音符中,你几乎回答了自己的问题。

human2bytes(s)中,输入字符串 - 例如9.766K - 分为两部分,即数字和前缀。在断言之后(正如您正确观察到的那样是抛出错误),数字乘以前缀表示的相应值,因此9.766 * 1000 = 9766。 “避免”数据丢失的唯一方法是接受足够精确的浮点值作为输入。

为了使human2bytes接受浮点输入,您可以从断言中删除num.isdigit(),然后使用try-except或{{3}包装类型转换num = float(num) }。