python - 如何将 unicode 转换为 4 位二进制表示？

Question

我有以下功能：

def dict_to_binary(the_dict):
    json_dict = json.dumps(the_dict)
    binary = ' '.join(format(ord(letter), 'b') for letter in json_dict)
    return binary

def binary_to_dict(the_binary):
    jsn = ''.join(chr(int(x, 2)) for x in the_binary.split())
    d = json.loads(jsn)  
    return d

这些函数接受一个 dict 对象，将其转换为 json，然后用于ord获取 中每个项目的 unicode，json然后将其转换为二进制。

我如何编辑该format字符串以针对 4 位二进制表示执行此操作，而不是它当前表示的 8 位？完整代码如下：

inverted_index = {word:(document_frequency[word], d[word]) for word in d}

thebinary = dict_to_binary(inverted_index)
print(thebinary)
print()
print()
print()
convertedbinary = binary_to_dict(thebinary)
print(convertedbinary)

产量

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110001 1011101 1011101 1011101 101100 100000 100010 1101100 1100001 1100010 1101111 1110010 1101001 1110011 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110010 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1101110 1101001 1110011 1101001 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110010 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100001 1101100 1101001 1110001 1110101 1101001 1110000 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110010 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100101 1111000 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110010 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100101 1100001 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110010 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100011 1101111 1101101 1101101 1101111 1100100 1101111 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110010 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100011 1101111 1101110 1110011 1100101 1110001 1110101 1100001 1110100 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110010 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100100 1110101 1101001 1110011 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100001 1110101 1110100 1100101 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1101001 1110010 1110101 1110010 1100101 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1110010 1100101 1110000 1110010 1100101 1101000 1100101 1101110 1100100 1100101 1110010 1101001 1110100 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1110110 1101111 1101100 1110101 1110000 1110100 1100001 1110100 1100101 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1110110 1100101 1101100 1101001 1110100 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100101 1110011 1110011 1100101 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100011 1101001 1101100 1101100 1110101 1101101 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100101 1110101 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110011 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 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1100001 1110100 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110100 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100011 1110101 1110000 1101001 1100100 1100001 1110100 1100001 1110100 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110100 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1101110 1101111 1101110 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110100 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1110000 1110010 1101111 1101001 1100100 1100101 1101110 1110100 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110100 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1110011 1110101 1101110 1110100 100010 111010 100000 1011011 110001 101100 100000 1011011 1011011 110100 101100 100000 110001 1011101 1011101 1011101 101100 100000 100010 1100011 1110101 1101100 1110000 1100001 100010 111010 100000 1011011 110001 101100 100000 1011011 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{'lorem': [1, [[1, 1]]], 'ipsum': [1, [[1, 1]]], 'dolor': [2, [[1, 1], [3, 1]]], 'sit': [1, [[1, 1]]], 'amet': [1, [[1, 1]]], 'consectetur': [1, [[2, 1]]], 'adipiscing': [1, [[2, 1]]], 'elit': [1, [[2, 1]]], 'sed': [1, [[2, 1]]], 'eiusmod': [1, [[2, 1]]], 'tempor': [1, [[2, 1]]], 'incididunt': [1, [[2, 1]]], 'ut': [1, [[2, 3], [2, 3], [2, 3]]], 'labore': [1, [[2, 1]]], 'et': [1, [[2, 1]]], 'dolore': [2, [[2, 1], [3, 1]]], 'magna': [1, [[2, 1]]], 'aliqua': [1, [[2, 1]]], 'enim': [1, [[2, 1]]], 'ad': [1, [[2, 1]]], 'minim': [1, [[2, 1]]], 'veniam': [1, [[2, 1]]], 'quis': [1, [[2, 1]]], 'nostrud': [1, [[2, 1]]], 'exercitation': [1, [[2, 1]]], 'ullamco': [1, [[2, 1]]], 'laboris': [1, [[2, 1]]], 'nisi': [1, [[2, 1]]], 'aliquip': [1, [[2, 1]]], 'ex': [1, [[2, 1]]], 'ea': [1, [[2, 1]]], 'commodo': [1, [[2, 1]]], 'consequat': [1, [[2, 1]]], 'duis': [1, [[3, 1]]], 'aute': [1, [[3, 1]]], 'irure': [1, [[3, 1]]], 'reprehenderit': [1, [[3, 1]]], 'voluptate': [1, [[3, 1]]], 'velit': [1, [[3, 1]]], 'esse': [1, [[3, 1]]], 'cillum': [1, [[3, 1]]], 'eu': [1, [[3, 1]]], 'fugiat': [1, [[3, 1]]], 'nulla': [1, [[3, 1]]], 'pariatur': [1, [[3, 1]]], 'excepteur': [1, [[4, 1]]], 'sint': [1, [[4, 1]]], 'occaecat': [1, [[4, 1]]], 'cupidatat': [1, [[4, 1]]], 'non': [1, [[4, 1]]], 'proident': [1, [[4, 1]]], 'sunt': [1, [[4, 1]]], 'culpa': [1, [[4, 1]]], 'qui': [1, [[4, 1]]], 'officia': [1, [[4, 1]]], 'deserunt': [1, [[4, 1]]], 'mollit': [1, [[4, 1]]], 'anim': [1, [[4, 1]]], 'id': [1, [[4, 1]]], 'est': [1, [[4, 1]]], 'laborum': [1, [[4, 1]]]}

标签： pythonpython-3.xbinaryformat

Answer 1

您可以使用[Python 3.Docs]: base64 — Base16, Base32, Base64, Base85 数据编码（特别是b16encode和b16decode，将字符串转换为适合 4位的char）并结合一些字符串 <=> int转换：

>>> import base64
>>> import json
>>>
>>> d0 = {'lorem': [1, [[1, 1]]], 'ipsum': [1, [[1, 1]]], 'dolor': [2, [[1, 1], [3, 1]]], 'sit': [1, [[1, 1]]], 'amet': [1, [[1, 1]]], 'consectetur': [1, [[2, 1]]], 'adipiscing': [1, [[2, 1]]], 'elit': [1, [[2, 1]]], 'sed': [1, [[2, 1]]], 'eiusmod': [1, [[2, 1]]], 'tempor': [1, [[2, 1]]], 'incididunt': [1, [[2, 1]]], 'ut': [1, [[2, 3], [2, 3], [2, 3]]], 'labore': [1, [[2, 1]]], 'et': [1, [[2, 1]]], 'dolore': [2, [[2, 1], [3, 1]]], 'magna': [1, [[2, 1]]], 'aliqua': [1, [[2, 1]]], 'enim': [1, [[2, 1]]], 'ad': [1, [[2, 1]]], 'minim': [1, [[2, 1]]], 'veniam': [1, [[2, 1]]], 'quis': [1, [[2, 1]]], 'nostrud': [1, [[2, 1]]], 'exercitation': [1, [[2, 1]]], 'ullamco': [1, [[2, 1]]], 'laboris': [1, [[2, 1]]], 'nisi': [1, [[2, 1]]], 'aliquip': [1, [[2, 1]]], 'ex': [1, [[2, 1]]], 'ea': [1, [[2, 1]]], 'commodo': [1, [[2, 1]]], 'consequat': [1, [[2, 1]]], 'duis': [1, [[3, 1]]], 'aute': [1, [[3, 1]]], 'irure': [1, [[3, 1]]], 'reprehenderit': [1, [[3, 1]]], 'voluptate': [1, [[3, 1]]], 'velit': [1, [[3, 1]]], 'esse': [1, [[3, 1]]], 'cillum': [1, [[3, 1]]], 'eu': [1, [[3, 1]]], 'fugiat': [1, [[3, 1]]], 'nulla': [1, [[3, 1]]], 'pariatur': [1, [[3, 1]]], 'excepteur': [1, [[4, 1]]], 'sint': [1, [[4, 1]]], 'occaecat': [1, [[4, 1]]], 'cupidatat': [1, [[4, 1]]], 'non': [1, [[4, 1]]], 'proident': [1, [[4, 1]]], 'sunt': [1, [[4, 1]]], 'culpa': [1, [[4, 1]]], 'qui': [1, [[4, 1]]], 'officia': [1, [[4, 1]]], 'deserunt': [1, [[4, 1]]], 'mollit': [1, [[4, 1]]], 'anim': [1, [[4, 1]]], 'id': [1, [[4, 1]]], 'est': [1, [[4, 1]]], 'laborum': [1, [[4, 1]]]}
>>>
>>> b16enc0 = base64.b16encode(json.dumps(d0).encode())  # Convert the string to bytes using utf8 (default)
>>> b16enc0
b'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'
>>>
>>> bits = " ".join("{0:04b}".format(int(chr(c), 16)) for c in b16enc0)
>>> len(bits)
15369
>>> bits[:0x9f]  # Print first 32 binary groups (as the whole thing is too long)
'0111 1011 0010 0010 0110 1100 0110 1111 0111 0010 0110 0101 0110 1101 0010 0010 0011 1010 0010 0000 0101 1011 0011 0001 0010 1100 0010 0000 0101 1011 0101 1011'
>>>
>>> # Now, the reverse
...
>>> b16enc1 = "".join("{0:X}".format(int(i, 2)) for i in bits.split())
>>> d1 = json.loads(base64.b16decode(b16enc1))
>>>
>>> d1
{'lorem': [1, [[1, 1]]], 'ipsum': [1, [[1, 1]]], 'dolor': [2, [[1, 1], [3, 1]]], 'sit': [1, [[1, 1]]], 'amet': [1, [[1, 1]]], 'consectetur': [1, [[2, 1]]], 'adipiscing': [1, [[2, 1]]], 'elit': [1, [[2, 1]]], 'sed': [1, [[2, 1]]], 'eiusmod': [1, [[2, 1]]], 'tempor': [1, [[2, 1]]], 'incididunt': [1, [[2, 1]]], 'ut': [1, [[2, 3], [2, 3], [2, 3]]], 'labore': [1, [[2, 1]]], 'et': [1, [[2, 1]]], 'dolore': [2, [[2, 1], [3, 1]]], 'magna': [1, [[2, 1]]], 'aliqua': [1, [[2, 1]]], 'enim': [1, [[2, 1]]], 'ad': [1, [[2, 1]]], 'minim': [1, [[2, 1]]], 'veniam': [1, [[2, 1]]], 'quis': [1, [[2, 1]]], 'nostrud': [1, [[2, 1]]], 'exercitation': [1, [[2, 1]]], 'ullamco': [1, [[2, 1]]], 'laboris': [1, [[2, 1]]], 'nisi': [1, [[2, 1]]], 'aliquip': [1, [[2, 1]]], 'ex': [1, [[2, 1]]], 'ea': [1, [[2, 1]]], 'commodo': [1, [[2, 1]]], 'consequat': [1, [[2, 1]]], 'duis': [1, [[3, 1]]], 'aute': [1, [[3, 1]]], 'irure': [1, [[3, 1]]], 'reprehenderit': [1, [[3, 1]]], 'voluptate': [1, [[3, 1]]], 'velit': [1, [[3, 1]]], 'esse': [1, [[3, 1]]], 'cillum': [1, [[3, 1]]], 'eu': [1, [[3, 1]]], 'fugiat': [1, [[3, 1]]], 'nulla': [1, [[3, 1]]], 'pariatur': [1, [[3, 1]]], 'excepteur': [1, [[4, 1]]], 'sint': [1, [[4, 1]]], 'occaecat': [1, [[4, 1]]], 'cupidatat': [1, [[4, 1]]], 'non': [1, [[4, 1]]], 'proident': [1, [[4, 1]]], 'sunt': [1, [[4, 1]]], 'culpa': [1, [[4, 1]]], 'qui': [1, [[4, 1]]], 'officia': [1, [[4, 1]]], 'deserunt': [1, [[4, 1]]], 'mollit': [1, [[4, 1]]], 'anim': [1, [[4, 1]]], 'id': [1, [[4, 1]]], 'est': [1, [[4, 1]]], 'laborum': [1, [[4, 1]]]}
>>>
>>> d1 == d0
True

我没有将它们封装在函数中，这很简单。