Authors:
Release Date: January 9, 2022
License: MIT License
To execute this implementation, ensure you have Python 3.x installed and follow these steps:
python CheckGreater.pyThe Check Greater Than Collection utility is a predicate logic validator that determines if a numeric dataset
The algorithm implements the Universal Quantification (
In the case where
-
Algorithmic Logic: The implementation uses a "Short-Circuit" evaluation. It searches for the first counter-example such that
$x \le \tau$ . If found, it terminates early with aFalsevalue, optimizing performance for large datasets. -
Time Complexity:
$O(n)$ in the worst case (where$n$ is the number of elements), and$O(1)$ in the best case (first element fails). -
Space Complexity:
$O(1)$ as it uses an iterative pointer without auxiliary data structures.
- Iterative Traversal: Uses a simple
forloop to check elements. - Type Hinting: Employs
typing.Unionandtyping.Iterableto ensure robust type checking for various numeric collections. - Predicates: Returns a boolean primitive, suitable for higher-order function filtering (like
filter()or list comprehensions).
flowchart TD
A[Input: Collection C, Threshold τ] --> B{Is C Empty?}
B -->|Yes| C[Return True - Vacuous]
B -->|No| D[For Each x in C]
D --> E{x > τ?}
E -->|No| F[Return False - Short Circuit]
E -->|Yes| G{More Elements?}
G -->|Yes| D
G -->|No| H[Return True - All Pass]
