import re

text = "The quick brown fox jumps over the lazy dog"

# 使用 re 模塊查找匹配項
matches = re.findall(r'\b\w{3}\b', text)

print(matches)  # 輸出匹配的單詞列表

text = "Contact us at: support@example.com, sales@example.com"

# 使用分組提取郵件地址
emails = re.findall(r'([a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,})', text)

print(emails)  # 輸出提取的郵件地址列表

text = "There are 123 apples and 456 oranges"

# 使用 re.sub() 函數(shù)替換文本中的數(shù)字為 "X"
new_text = re.sub(r'\d+', 'X', text)

print(new_text)  # 輸出替換后的文本

pattern = re.compile(r'\bpython\b', re.IGNORECASE)

text = "Python is a popular programming language"

# 使用編譯后的正則表達式進行匹配
match = pattern.search(text)

if match:
    print("Found")
else:
    print("Not found")

text = "The code is 1234 and the password is abcd_123"

# 使用預(yù)定義字符類匹配數(shù)字和字母密碼
codes = re.findall(r'\b\w+\b', text)

print(codes)  # 輸出匹配的代碼和密碼列表

text = "The Python programming language is widely used for data analysis"

# 使用量詞匹配至少包含兩個字母的單詞
words = re.findall(r'\b\w{2,}\b', text)

print(words)  # 輸出匹配的單詞列表

text = "Python is a great language for both beginners and experts"

# 使用錨點匹配以 Python 開頭的句子
sentence = re.findall(r'^Python.*', text)

print(sentence)  # 輸出匹配的句子

text = "Python is a powerful programming language"

# 使用貪婪匹配查找 "p" 到 "g" 之間的內(nèi)容
greedy_match = re.findall(r'p.*g', text)

# 使用非貪婪匹配查找 "p" 到 "g" 之間的內(nèi)容
non_greedy_match = re.findall(r'p.*?g', text)

print("貪婪匹配:", greedy_match)  # 輸出貪婪匹配結(jié)果
print("非貪婪匹配:", non_greedy_match)  # 輸出非貪婪匹配結(jié)果

text = "apple apple orange orange"

# 使用后向引用匹配重復(fù)的單詞
duplicates = re.findall(r'(\b\w+\b) \1', text)

print("重復(fù)的單詞:", duplicates)  # 輸出匹配到的重復(fù)單詞列表

text = """Python is a popular programming language.
It is used for web development, data analysis, and more.
Python has a simple syntax and is easy to learn."""

# 使用多行匹配模式匹配以大寫字母開頭的句子
sentences = re.findall(r'^[A-Z].*$', text, re.MULTILINE)

print("以大寫字母開頭的句子:", sentences)  # 輸出匹配到的句子列表

text = "John has 5 apples, Mary has 3 oranges"

# 使用命名分組提取人名和水果數(shù)量
matches = re.findall(r'(?P<name>\w+) has (?P<quantity>\d+) \w+', text)

for match in matches:
    print("Name:", match['name'], "- Quantity:", match['quantity'])

text = "apple banana orange grape"

# 使用預(yù)搜索斷言匹配出包含 "apple" 之后的所有水果
result = re.findall(r'(?<=apple\s)(\w+)', text)

print("包含 'apple' 之后的水果:", result)  # 輸出匹配到的水果列表

text = "Python is a powerful programming language"

# 使用肯定預(yù)搜索斷言匹配包含 "is" 的單詞
positive_result = re.findall(r'\b\w+(?= is\b)', text)

# 使用否定預(yù)搜索斷言匹配不包含 "is" 的單詞
negative_result = re.findall(r'\b\w+(?! is\b)', text)

print("肯定預(yù)搜索斷言:", positive_result)  # 輸出匹配到的單詞列表
print("否定預(yù)搜索斷言:", negative_result)  # 輸出匹配到的單詞列表

text = "Python is a powerful programming language"

# 使用 re.finditer() 函數(shù)匹配所有單詞
matches_iter = re.finditer(r'\b\w+\b', text)

for match in matches_iter:
    print(match.group())  # 輸出匹配到的單詞

text = "apple,banana,orange,grape"

# 使用 re.split() 函數(shù)根據(jù)逗號拆分字符串
fruits = re.split(r',', text)

print("拆分后的水果列表:", fruits)  # 輸出拆分后的水果列表

def double(match):
    return str(int(match.group(0)) * 2)

text = "The numbers are 1, 2, 3, and 4"

# 使用替換函數(shù)參數(shù)將所有數(shù)字乘以2
new_text = re.sub(r'\d+', double, text)

print("替換后的文本:", new_text)  # 輸出替換后的文本

pattern = re.compile(r'\d{4}-\d{2}-\d{2}')

date1 = "2022-01-15"
date2 = "15-01-2022"

# 使用 re.fullmatch() 函數(shù)檢查日期格式
match1 = pattern.fullmatch(date1)
match2 = pattern.fullmatch(date2)

if match1:
    print("日期格式正確")
else:
    print("日期格式錯誤")

if match2:
    print("日期格式正確")
else:
    print("日期格式錯誤")

pattern = re.compile(r'python', re.IGNORECASE)

text = "Python is a powerful programming language"

# 使用不區(qū)分大小寫匹配模式查找 "Python"
match = pattern.search(text)

if match:
    print("Found")
else:
    print("Not found")

pattern = re.compile(r'\b\w{3}\b', re.DEBUG)

text = "The quick brown fox jumps over the lazy dog"

# 輸出編譯后的正則表達式調(diào)試信息
pattern.findall(text)