fix mypy annotations for arithmetic_analysis (#6040)

* fixed mypy annotations for arithmetic_analysis

* shortened numpy references
This commit is contained in:
Leoriem-code
2022-05-12 05:35:56 +02:00
committed by GitHub
parent e23c18fb5c
commit 533eea5afa
4 changed files with 29 additions and 14 deletions

View File

@ -5,9 +5,13 @@ Gaussian elimination - https://en.wikipedia.org/wiki/Gaussian_elimination
import numpy as np
from numpy import float64
from numpy.typing import NDArray
def retroactive_resolution(coefficients: np.matrix, vector: np.ndarray) -> np.ndarray:
def retroactive_resolution(
coefficients: NDArray[float64], vector: NDArray[float64]
) -> NDArray[float64]:
"""
This function performs a retroactive linear system resolution
for triangular matrix
@ -27,7 +31,7 @@ def retroactive_resolution(coefficients: np.matrix, vector: np.ndarray) -> np.nd
rows, columns = np.shape(coefficients)
x = np.zeros((rows, 1), dtype=float)
x: NDArray[float64] = np.zeros((rows, 1), dtype=float)
for row in reversed(range(rows)):
sum = 0
for col in range(row + 1, columns):
@ -38,7 +42,9 @@ def retroactive_resolution(coefficients: np.matrix, vector: np.ndarray) -> np.nd
return x
def gaussian_elimination(coefficients: np.matrix, vector: np.ndarray) -> np.ndarray:
def gaussian_elimination(
coefficients: NDArray[float64], vector: NDArray[float64]
) -> NDArray[float64]:
"""
This function performs Gaussian elimination method
@ -60,7 +66,7 @@ def gaussian_elimination(coefficients: np.matrix, vector: np.ndarray) -> np.ndar
return np.array((), dtype=float)
# augmented matrix
augmented_mat = np.concatenate((coefficients, vector), axis=1)
augmented_mat: NDArray[float64] = np.concatenate((coefficients, vector), axis=1)
augmented_mat = augmented_mat.astype("float64")
# scale the matrix leaving it triangular