numscan 0.1.6

Count interesting number patterns in text files

numscan

numscan is a lightweight Python package that scans large text files for interesting number patterns — such as Fibonacci numbers, prime numbers, perfect squares, and more.

It’s designed for fast processing of files with mixed content (letters, symbols, digits), supports cross-line matching, and is fully extensible.

Features

• Count appearances of numeric patterns in large files
• Works across lines and inside mixed strings (e.g., abc123xyz)
• Built-in support for:
  • Fibonacci numbers
  • Prime numbers
  • Square numbers
  • Pop culture numbers (e.g., 42, 1337)
  • All integers
• Easy to extend with custom pattern counters
• Python 3.9+ compatible

Installation

Install directly from PyPI:

pip install numscan

Or from GitHub (development version):

pip install git+https://github.com/ChristianRabenstein/numscan.git

Basic Usage

1. Count Fibonacci numbers in a file

from numscan import FibonacciCounter

counter = FibonacciCounter("example.txt")
print(counter.counts)

2. Count prime numbers

from numscan import PrimeCounter

prime_counter = PrimeCounter("example.txt")
print(prime_counter.counts)

3. Show top matches in a formatted way

def print_top_counts(counter, title, top_n=5):
    print(f"Top {top_n} matches for {title}:
")
    for number, count in sorted(counter.counts.items(), key=lambda x: x[1], reverse=True)[:top_n]:
        print(f"{number}: {count}")

fib_counter = FibonacciCounter("example.txt")
print_top_counts(fib_counter, "Fibonacci Numbers")

Example Output

Top 5 matches for Fibonacci Numbers:

1: 1582
0: 891
2: 474
3: 211
5: 102

Custom Pattern Example

Create your own number matcher by subclassing NumberCounter:

from numscan import NumberCounter

class MyLuckyNumbers(NumberCounter):
    def generate_numbers(self):
        return [7, 13, 21, 42]

lucky = MyLuckyNumbers("example.txt")
print(lucky.counts)

All Available Counters

Class	Description
DatePatternCounter	It supports multiple formats and checks all dates in a specified date range.
FibonacciCounter	Matches Fibonacci numbers up to 1000
IntegerCounter	Matches all integer numbers
PopCultureCounter	Matches 42, 1337, 666, and more
PrimeCounter	Matches prime numbers up to 1000
SquareCounter	Matches perfect square numbers

Project Structure (Package Layout)

numscan/
│
├── base.py           # Base class: NumberCounter
├── date.py           # DatePatternCounter
├── fibonacci.py      # FibonacciCounter
├── prime.py          # PrimeCounter
├── squares.py        # SquareCounter
├── popculture.py     # PopCultureCounter
├── all.py            # IntegerCounter
├── __init__.py       # Unified exports

🧾 License

MIT License
© Christian Rabenstein — rabenstein.at