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| """ | |
| Compute the determinant of a matrix using NumPy. | |
| """ | |
| import numpy as np | |
| from typing import List, Union | |
| import gradio as gr | |
| from maths.matrices.utils import parse_matrix, format_output | |
| Matrix = Union[List[List[float]], np.ndarray] | |
| def matrix_determinant(matrix: Matrix) -> float: | |
| m = np.array(matrix) | |
| if m.shape[0] != m.shape[1]: | |
| raise ValueError("Matrix must be square to compute determinant.") | |
| return np.linalg.det(m) | |
| matrix_determinant_interface = gr.Interface( | |
| fn=lambda m_str: format_output(matrix_determinant(parse_matrix(m_str))), | |
| inputs=gr.Textbox(label="Matrix (must be square)", placeholder="e.g., [[1,2],[3,4]]"), | |
| outputs=gr.Textbox(label="Determinant"), | |
| title="Matrix Determinant", | |
| description="Calculates the determinant of a square matrix. Input can be JSON (e.g., [[1,2],[3,4]]) or CSV (e.g., 1,2;3,4). Example: Matrix: [[1,2],[3,4]] => Result: -2.0", | |
| examples=[ | |
| ["[[1,2],[3,4]]"], | |
| ["1,2;3,4"] | |
| ] | |
| ) | |