UniqueInt Processor

Overview

UniqueInt Processor is a Python script designed to read integers from text files, filter out duplicates, and write the unique integers into output files. The integers are processed to be within the range of -1023 to 1023, inclusive.

Features

• Reads integers from input files
• Filters out duplicate integers
• Ensures integers are within the specified range (-1023 to 1023)
• Writes sorted unique integers to output files
• Provides processing time for each file

Prerequisites

• Python 3.x

File Structure

• inputs: Directory containing the input text files with integers
• results: Directory where the output files with unique sorted integers will be saved

Installation

Clone the repository to your local machine:

git clone https://github.com/Mkellia/UniqueInt.git
cd UniqueInt

Usage

1. Ensure your input text files are placed in the inputs directory.
2. Run the script:

python3 processor.py

The script will read each .txt file in the inputs directory, process the integers, and save the results in the results directory with _results.txt appended to the original filename.

Example

Input: /home/kellia/UniqueInt/inputs/numbers.txt

10
20
-15
10
30
-15
20
1024
-1024

Output: /home/kellia/UniqueInt/results/numbers.txt_results.txt

-15
10
20
30

Code Explanation

Class UniqueInt

• Attributes:

  • seen: A list of boolean values to track seen integers.
  • min_int: Minimum integer value, set to -1023.

• Methods:

  • process_file(input_file_path, output_file_path): Resets the seen array and processes the file.
  • read_unique_integers(input_file_path): Reads integers, filters duplicates, and validates the range.
  • is_valid_integer_line(line): Checks if a line is a valid integer.
  • sort_unique_numbers(numbers): Sorts the list of unique integers using bubble sort.
  • write_unique_integers(unique_numbers, output_file_path): Writes the unique integers to the output file.

Main Execution

• Sets the input and output folder paths.
• Creates an instance of UniqueInt.
• Processes each .txt file in the input folder and writes the result to the output folder.
• Logs the processing time for each file.

Notes

• The script uses bubble sort for simplicity, which is not the most efficient sorting algorithm for large datasets. Consider using Python's built-in sorting methods for better performance on larger files.

Author

• Kellia MUZIRA
• GitHub: Mkellia