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babaniyi/nuban_classifier

Domaine:

digital infrastructure

Type de record:

software
Créateur:
bab
Hôte:
This Python project validates and classifies Nigerian bank accounts based on the Nigeria Uniform Bank Account Number (NUBAN) scheme. # NUBAN Classifier The NUBAN Classifier is a Python-based project for validating and classifying Nigerian bank account numbers based on the **Nigeria Uniform Bank Account Number (NUBAN)** scheme. The system uses the NUBAN algorithm defined by the Central Bank of Nigeria (CBN) to calculate check digits, validate account numbers, and identify the banks to which they belong. --- ## Features 1. **Check Digit Calculation**: Computes the check digit for a NUBAN account number using a standardized algorithm. 2. **Validation**: Verifies the integrity of a NUBAN account number based on its check digit. 3. **Bank Classification**: Identifies possible banks for a given account number. --- ## Installation ### Prerequisites - Python 3.7+ ### Setup 1. Clone the repository: ```bash git clone github.com cd nuban-classifier ``` 2. Install dependencies: ```bash pip install -r requirements.txt ``` 3. Run tests to verify the installation: ```bash pytest tests/ ``` --- ## Usage ### Example Code ```python from nuban_classifier import classify_account_number # Example account number account_number = "1234567890" matching_banks = classify_account_number(account_number) if matching_banks: print(f"The account number may belong to: {', '.join(matching_banks)}") else: print("No matching banks found.") ``` ### Explanation - `calculate_check_digit(serial_number, bank_code)`: Calculates the check digit for a given serial number and bank code. - `classify_account_number(account_number)`: Identifies all possible banks an account number may belong to. --- ## Project Structure ```plaintext . ├── nuban_classifier.py # Core module with validation and classification logic ├── tests/ # Unit tests │ ├── test_account_classifier.py ├── requirements.txt # List of dependencies ├── README.md # Project documentation ``` --- ## Tests ### Running Tests Use `pytest` to run the included unit tests: ```bash py …

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