The generation of social security numbers (such as China's social security numbers or similar identifiers in other countries) requires strict compliance with relevant laws and regulations, because improper use may lead to legal risks. The following content is only for technical reference. **The generated number cannot be used for any illegal purpose**, and it must be ensured that it does not infringe on the privacy of others. --- ###**Important prerequisites** 1. **Legal compliance**: Social security numbers are sensitive personal information, and any unauthorized generation, use, or dissemination may be illegal. 2. **Generation rules**: The format of social security numbers in different countries/regions is different (such as SSN in the United States, social Security card numbers in China, etc.), and their official rules (such as check digit algorithms) must be followed. 3. **For testing purposes only**: The generated number must be clearly marked as test data and should not be confused with the real data. --- ###**Example: Generate a test social security number that meets the format rules (China)** China's social security number is usually the same as the citizen ID number (18 digits), and the format is as follows： ``` The first 6 digits: administrative division code (for example, 110101 is Dongcheng District, Beijing) 7-14 digits: date of birth (YYYYMMDD) 15-17 digits: sequence code (odd male, even female) Bit 18: Check code (calculated by Luhn algorithm) ``` ####**Python code example** ```python import random from datetime import datetime, timedelta def generate_region_code(): # Example: Randomly select a legal administrative division code (need to be replaced with real data) # In fact, the officially released administrative division code (such as data from the National Bureau of Statistics) should be used regions = ["110101", "310115", "440305"] # Examples: Beijing Dongcheng, Shanghai Pudong, Shenzhen Nanshan return random. choice(regions) def generate_birthday(): # Generate random dates from 1924-01-01 to today start_date = datetime(1924, 1, 1) end_date = datetime. now() delta = end_date - start_date random_days = random. randint(0, delta. days) birthday = start_date + timedelta(days=random_days) return birthday. strftime("%Y%m%d") def generate_sequence_code(gender): # Generate sequence code (15-17 digits) sequence = random. randint(1, 999) if gender == "M": sequence = sequence if sequence % 2 == 1 else sequence + 1 elif gender == "F": sequence = sequence if sequence % 2 == 0 else sequence + 1 return f"{sequence:03d}" def calculate_checksum(id_number): # Calculate the ID card verification code (18th digit) weights = [7, 9, 10, 5, 8, 4, 2, 1, 6, 3, 7, 9, 10, 5, 8, 4, 2] check_codes = "10X98765432" total = sum(int(id_number[i]) * weights[i] for i in range(17)) return check_codes[total % 11] def generate_social_security_number(gender="M"): region = generate_region_code() birthday = generate_birthday() sequence = generate_sequence_code(gender) partial_id = f"{region}{birthday}{sequence}" checksum = calculate_checksum(partial_id) return f"{partial_id}{checksum}" #Generate 10 test numbers in batches (male) for _ in range(10): print(generate_social_security_number(gender="M")) ``` --- ###**Precautions** 1. **Administrative division code**: You need to use the officially released code (such as data from the National Bureau of Statistics). The code in the sample code is for demonstration only. 2. **Check code algorithm**: Different countries/regions have different check algorithms (for example, the US SSN has no check code). 3. **Duplication mechanism**: When generating in batches, you need to check whether the generated numbers are repeated. 4. **Gender identification**: Adjust the sequence code generation logic according to the actual rules. --- ###**Legal Notice** **This code is for technical research or legal testing only, and the generated number cannot be used in any actual business scenarios. Please ensure that you comply with local laws and regulations before using it, otherwise you will be at your own risk. **