forked from p46318075/CodePattern
Merge pull request '新增状态机(电子表格风格)' (#6) from pbr4nzfkh/CodePattern:dev into dev
commit
8805fb90c6
@ -1,56 +0,0 @@
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import cppy.cp_util as util
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from collections import Counter
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class WordFrequencyStateMachine:
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def __init__(self, file_path):
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self.file_path = file_path
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self.content = None
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self.words = None
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self.word_freq = None
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self.state = 'IDLE'
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def transition_to_read_file(self):
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try:
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with open(self.file_path, 'r', encoding='utf-8') as file:
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self.content = file.read()
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self.state = 'WORDS_SPLIT'
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except FileNotFoundError:
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print(f"文件 {self.file_path} 未找到。")
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except Exception as e:
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print(f"读取文件时发生错误: {e}")
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def transition_to_split_words(self):
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if self.content is not None:
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self.words = util.extract_str_words(self.content)
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self.state = 'CALCULATE_FREQ'
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else:
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print("文件内容为空,无法分割单词。")
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def transition_to_calculate_freq(self):
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if self.words is not None:
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self.word_freq = Counter(self.words)
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self.state = 'DONE'
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else:
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print("单词列表为空,无法计算词频。")
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def run(self):
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while self.state != 'DONE':
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if self.state == 'IDLE':
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self.transition_to_read_file()
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elif self.state == 'WORDS_SPLIT':
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self.transition_to_split_words()
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elif self.state == 'CALCULATE_FREQ':
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self.transition_to_calculate_freq()
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else:
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print(f"未知状态: {self.state}")
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break
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return self.word_freq
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# 使用状态机计算词频
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state_machine = WordFrequencyStateMachine( util.testfilepath )
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word_frequencies = state_machine.run()
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# 打印结果
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for word, freq in word_frequencies.most_common(10):
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print(f"{word}: {freq}")
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@ -0,0 +1,60 @@
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# -*- coding: utf-8 -*-
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import cppy.cp_util as util
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from collections import Counter
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class WordFrequencyStateMachine:
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def __init__(self, file_path):
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self.file_path = file_path
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self.content = None
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self.words = None
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self.word_freq = None
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self.state = 'IDLE'
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def transition_to_read_file(self):
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try:
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with open(self.file_path, 'r', encoding='utf-8') as file:
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self.content = file.read()
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self.state = 'WORDS_SPLIT'
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except FileNotFoundError:
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print(f"文件 {self.file_path} 未找到。")
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except Exception as e:
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print(f"读取文件时发生错误: {e}")
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def transition_to_split_words(self):
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if self.content is not None:
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self.words = util.extract_str_words(self.content)
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self.state = 'CALCULATE_FREQ'
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else:
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print("文件内容为空,无法分割单词。")
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def transition_to_calculate_freq(self):
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if self.words is not None:
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self.word_freq = Counter(self.words)
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self.state = 'DONE'
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else:
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print("单词列表为空,无法计算词频。")
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def run(self):
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while self.state != 'DONE':
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if self.state == 'IDLE':
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self.transition_to_read_file()
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elif self.state == 'WORDS_SPLIT':
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self.transition_to_split_words()
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elif self.state == 'CALCULATE_FREQ':
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self.transition_to_calculate_freq()
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else:
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print(f"未知状态: {self.state}")
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break
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return self.word_freq
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# 使用状态机计算词频
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state_machine = WordFrequencyStateMachine(util.testfilepath)
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word_frequencies = state_machine.run()
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# 打印结果
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for word, freq in word_frequencies.most_common(10):
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print(f"{word}: {freq}")
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@ -0,0 +1,33 @@
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# -*- coding: utf-8 -*-
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import cppy.cp_util as util
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# 每一列是一个数据元素和一个公式,第一列是输入数据,所以没有公式
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all_words = [(), None]
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non_stop_words = [(), util.extract_str_words]
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frequencies = [(), util.get_frequencies]
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sorted_data = [(), util.sort_dict]
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# 整个电子表格
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all_columns = [all_words, non_stop_words,\
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frequencies, sorted_data]
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# 每次输入数据后调用此方法
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def update():
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global all_columns
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for c in all_columns[1::]:
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if c[1] == util.extract_str_words:
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c[0] = c[1](all_words[0])
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elif c[1] == util.get_frequencies:
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c[0] = c[1](non_stop_words[0])
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elif c[1] == util.sort_dict:
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c[0] = c[1](frequencies[0])
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# 将固定数据加载到第一列中
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all_words[0] = util.read_file(util.testfilepath)
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# 调用update函数遍历列表
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update()
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#打印结果
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util.print_word_freqs(sorted_data[0])
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