The following is a Python example that demonstrates how to use a generator to generate a large amount of text that does not contain actual information (such as pure random or meaningless combinations). The advantage of a generator is that it can generate data on demand without loading it all into memory at once, thus saving resources. The sample code is as follows: ────────────────────────────── #!/usr/bin/env python3 import random import string def random_word(length=5): """ Generate a random English word. The number of letters is specified by length. It can be expanded to Chinese or other character sets as needed. """ return ''.join(random.choices(string.ascii_lowercase, k=length)) def gibberish_sentence(word_count=10): """ Generate a meaningless sentence consisting of random words. The number of words is specified by word_count, with random punctuation at the end of the sentence. """ words = [random_word(random.randint(3, 8)) for _ in range(word_count)] punctuation = random.choice(['.', '!', '?']) sentence = ' '.join(words) + punctuation return sentence.capitalize() def gibberish_paragraph(sentence_count=5): """ Generates a paragraph of meaningless text (paragraph), which is composed of several random sentences. """ sentences = [gibberish_sentence(random.randint(8, 15)) for _ in range(sentence_count)] # Each sentence is separated by a space return ' '.join(sentences) def gibberish_text(paragraph_count=10): """ Generate multiple paragraphs of text, each of which is a paragraph of meaningless text. Here, the generator is used to output each paragraph on demand. """ for _ in range(paragraph_count): yield gibberish_paragraph(random.randint(4, 8)) if __name__ == '__main__': # For example, generate 10 paragraphs of text and print each paragraph for paragraph in gibberish_text(10): print(paragraph) print() # Leave a blank line between each paragraph────────────────────────────── Code description: 1. random_word(): Generates a word with a random combination of letters. The default length is 5, which can be adjusted as needed. 2. gibberish_sentence(): Generates a sentence with a random word length and adds punctuation at the end of the sentence; the first letter is capitalized to make the sentence look more like normal text. 3. gibberish_paragraph(): Use gibberish_sentence() to generate several sentences and combine them into a paragraph. 4. gibberish_text(): This is a generator function that returns a paragraph of generated meaningless text each time it calls yield. You can specify how many paragraphs of text to generate. After running this script, you will get several paragraphs of text composed of random words. These texts do not have any actual information and can be used as placeholder text or test data. You can also adjust the parameters of the generator (such as word length, number of sentences, number of paragraphs, etc.) as needed, or change random words into Chinese character combinations. You only need to modify the random_word() function, for example: ──────────────────────────────── def random_chinese_character(): # Generate more commonly used Chinese characters using the Unicode range (for example: between 0x4e00 and 0x9fff) return chr(random.randint(0x4e00, 0x9fff)) def random_chinese_word(length=2): return ''.join(random_chinese_character() for _ in range(length)) ─────────────────────────────── In this way, you can generate meaningless paragraphs of Chinese text. Notes: • Although this method can generate a large amount of text without useful information, in actual applications, you should be careful not to use it for deceptive purposes or for purposes that violate platform regulations. • According to actual needs, the logic of the generator can be further expanded, such as adding more punctuation marks or adjusting the language style. This method of using generators can efficiently create arbitrarily long text sequences without taking up a lot of memory at once.