Introduction to strtok3

token3 is a powerful and efficient library used for tokenization of strings in various programming languages. It allows developers to split strings into manageable tokens based on defined delimiters. This comes in handy for parsing and processing data efficiently. In this guide, we will introduce the strtok3 library and explore its various APIs with code examples.

Basic Usage of strtok3

The strtok3 library provides a straightforward way to split a string using a predefined set of delimiters. Here’s how to use the basic tokenization functionality:

import strtok3

text = "Hello world! strtok3 is awesome."
delimiters = " !"
tokens = strtok3.tokenize(text, delimiters)

for token in tokens:
    print(token)

Handling Custom Delimiters

You can customize the delimiters used for tokenization:

import strtok3

text = "apple,orange;banana:grape"
delimiters = ",;:"
tokens = strtok3.tokenize(text, delimiters)

print(tokens)  # Output: ['apple', 'orange', 'banana', 'grape']

Maintaining Delimiters in Results

strtok3 also allows you to keep the delimiters in the resulting tokens for more complex processing:

import strtok3

text = "apple,orange;banana:grape"
delimiters = ",;:"
tokens = strtok3.tokenize_with_delimiters(text, delimiters)

print(tokens)  # Output: ['apple', ',', 'orange', ';', 'banana', ':', 'grape']

Iterating Over Tokens

If you prefer to process tokens one at a time, you can use the iterator provided by strtok3:

import strtok3

text = "apple,orange;banana:grape"
delimiters = ",;:"
tokens = strtok3.tokenize_iter(text, delimiters)

for token in tokens:
    print(token)

Tokenizing Large Files

For processing large files, strtok3 offers a memory-efficient method:

import strtok3

with open('largefile.txt', 'r') as file:
    delimiters = " \n,"
    tokens = strtok3.tokenize_file(file, delimiters)
    
    for token in tokens:
        print(token)

App Example Using strtok3

Here is a simple app example that reads a CSV file, tokenizes its content, and processes each token:

import strtok3
import csv

def process_csv(file_path):
    with open(file_path, 'r') as file:
        reader = csv.reader(file)
        delimiters = ","
        
        for row in reader:
            for cell in row:
                tokens = strtok3.tokenize(cell, delimiters)
                process_tokens(tokens)

def process_tokens(tokens):
    for token in tokens:
        # Process each token (e.g., print, store in database)
        print(token)

process_csv('data.csv')

This example demonstrates how strtok3 can be integrated into a simple CSV processing application, showcasing its versatility and efficiency.

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