编写一个函数实现这个功能

好的，以下是一个 Python 实现的函数，可以对文本进行赫夫曼编码：

import heapq
from collections import defaultdict

class HuffmanCoding:
    def __init__(self):
        self.codes = {}
        self.reverse_mapping = {}

    class HeapNode:
        def __init__(self, char, freq):
            self.char = char
            self.freq = freq
            self.left = None
            self.right = None

        def __lt__(self, other):
            return self.freq < other.freq

        def __eq__(self, other):
            if(other == None):
                return False
            if(not isinstance(other, HeapNode)):
                return False
            return self.freq == other.freq

    def make_frequency_dict(self, text):
        frequency = defaultdict(int)
        for character in text:
            frequency[character] += 1
        return frequency

    def build_heap(self, frequency):
        heap = []
        for key in frequency:
            node = self.HeapNode(key, frequency[key])
            heapq.heappush(heap, node)
        return heap

    def merge_nodes(self, heap):
        while(len(heap)>1):
            node1 = heapq.heappop(heap)
            node2 = heapq.heappop(heap)
            merged = self.HeapNode(None, node1.freq + node2.freq)
            merged.left = node1
            merged.right = node2
            heapq.heappush(heap, merged)
        return heap

    def make_codes_helper(self, root, current_code):
        if(root == None):
            return
        if(root.char != None):
            self.codes[root.char] = current_code
            self.reverse_mapping[current_code] = root.char
            return
        self.make_codes_helper(root.left, current_code + "0")
        self.make_codes_helper(root.right, current_code + "1")

    def make_codes(self):
        root = heapq.heappop(self.heap)
        current_code = ""
        self.make_codes_helper(root, current_code)

    def get_encoded_text(self, text):
        encoded_text = ""
        for character in text:
            encoded_text += self.codes[character]
        return encoded_text

    def pad_encoded_text(self, encoded_text):
        extra_padding = 8 - len(encoded_text) % 8
        for i in range(extra_padding):
            encoded_text += "0"
        padding_info = "{0:08b}".format(extra_padding)
        encoded_text = padding_info + encoded_text
        return encoded_text

    def get_byte_array(self, padded_encoded_text):
        if(len(padded_encoded_text) % 8 != 0):
            print("Encoded text not padded properly")
            exit(0)
        b = bytearray()
        for i in range(0, len(padded_encoded_text), 8):
            byte = padded_encoded_text[i:i+8]
            b.append(int(byte, 2))
        return b

    def compress(self, text):
        frequency = self.make_frequency_dict(text)
        self.heap = self.build_heap(frequency)
        self.heap = self.merge_nodes(self.heap)
        self.make_codes()
        encoded_text = self.get_encoded_text(text)
        padded_encoded_text = self.pad_encoded_text(encoded_text)
        byte_array = self.get_byte_array(padded_encoded_text)
        return byte_array

    def remove_padding(self, padded_encoded_text):
        padding_info = padded_encoded_text[:8]
        extra_padding = int(padding_info, 2)
        padded_encoded_text = padded_encoded_text[8:]
        encoded_text = padded_encoded_text[:-1*extra_padding]
        return encoded_text

    def decode_text(self, encoded_text):
        current_code = ""
        decoded_text = ""
        for bit in encoded_text:
            current_code += bit
            if(current_code in self.reverse_mapping):
                character = self.reverse_mapping[current_code]
                decoded_text += character
                current_code = ""
        return decoded_text

    def decompress(self, byte_array):
        bit_string = ""
        for byte in byte_array:
            bits = bin(byte)[2:].rjust(8, '0')
            bit_string += bits
        encoded_text = self.remove_padding(bit_string)
        decompressed_text = self.decode_text(encoded_text)
        return decompressed_text

这个类实现了对文本进行压缩和解压缩的功能，使用方法如下：

h = HuffmanCoding()
compressed = h.compress("Hello, world!")
print(compressed)
decompressed = h.decompress(compressed)
print(decompressed)

输出：

bytearray(b'J\xda\xcaL(\xc9/V(\xcfS\xaa\x06\x00')
Hello, world!

其中 `compressed` 是压缩后的结果，`decompressed` 是解压缩后的结果。