中文数字英文的正则
    In the vast realm of programming, regular expressions (regex) serve as a powerful tool for pattern matching within strings. When it comes to matching Chinese numerals, English numbers, and digits, a regex pattern can be crafted to identify these distinct formats.
    Chinese numerals, ranging from one to ten thousand, can be represented in a regex pattern, capturing the essence of the language's numerical system. For instance, the pattern `\p{Nd}\p{Sc}?` can be used to match a single Chinese numeral followed by an optional unit character.
    In contrast, English numbers are straightforward, often requiring a regex pattern like `\d+` to match a sequence of digits. This pattern is versatile, accommodating for any numerical value expressed in the decimal system.
    The intricacies of regex patterns can be tailored to the specific needs of a task. For example, when distinguishing between whole numbers and decimals, the pattern `\d+(\.\d+)?` can be employed, allowing for optional decimal points and fractional parts.
    Moreover, regex can be used to validate input formats, ensuring that the numbers entered adhere to a particular standard. This can be crucial in applications ranging from form validation to data parsing.
    In the context of programming, regex patterns are not just about matching; they're also about extracting and manipulating data. For example, a pattern like `(\$?)(\d+(\.\d{2})?)` can be used to extract currency values, identifying optional currency symbols and decimal amounts.
正则匹配中文数字
    The power of regex lies in its ability to be both specific and flexible, allowing developers to create patterns that cater to the unique requirements of their projects. Whether it's matching Chinese characters, English numbers, or a combination of both, regex provides a robust solution for string manipulation.
    In conclusion, mastering regex patterns for Chinese numerals, English numbers, and digits is an invaluable skill for anyone working with text data. It enables precise control over string matching and extraction, streamlining processes and improving efficiency in various applications.

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