请用python帮我写一个完整的rake运行算法

好的，以下是一个完整的Rake算法的Python实现：

import re
import operator
from collections import Counter

def get_stopwords(stopwords_file):
    with open(stopwords_file, 'r') as f:
        stopwords = f.readlines()
    stopwords = [x.strip() for x in stopwords]
    return stopwords

def get_phrases(text):
    # 分句
    sentences = re.split(r'[\n。！？]', text)
    # 分词
    phrases = []
    for sentence in sentences:
        words = re.findall(r'[\w]+', sentence)
        phrases.extend(words)
    return phrases

def get_word_scores(phrases, stopwords):
    word_freq = Counter()
    word_degree = Counter()
    for phrase in phrases:
        words = phrase.split()
        degree = len(words) - 1
        for word in words:
            if word not in stopwords:
                word_freq[word] += 1
                word_degree[word] += degree
    for word in word_freq:
        word_degree[word] = word_degree[word] + word_freq[word]
    word_scores = {}
    for word in word_freq:
        word_scores[word] = word_degree[word] / word_freq[word]
    return word_scores

def get_phrase_scores(phrases, word_scores):
    phrase_scores = {}
    for phrase in phrases:
        words = phrase.split()
        score = 0
        for word in words:
            score += word_scores[word]
        phrase_scores[phrase] = score
    return phrase_scores

def rake(text, stopwords_file):
    # 获取停用词
    stopwords = get_stopwords(stopwords_file)
    # 获取短语
    phrases = get_phrases(text)
    # 获取单词得分
    word_scores = get_word_scores(phrases, stopwords)
    # 获取短语得分
    phrase_scores = get_phrase_scores(phrases, word_scores)
    # 按得分排序
    sorted_phrases = sorted(phrase_scores.items(), key=operator.itemgetter(1), reverse=True)
    return sorted_phrases

请注意，这个算法需要一个停用词文件作为输入，你需要提供一个停用词文件的路径。此外，这个算法假设输入的文本是中文，因此它使用了中文的分句和分词规则。如果你需要处理英文文本，你需要修改这个算法以使用英文的分句和分词规则。