refactor: Indent ... for visual purposes (#7744)

This commit is contained in:
Caeden Perelli-Harris
2022-10-27 18:42:30 +01:00
committed by GitHub
parent e8915097c4
commit 9bba42eca8
46 changed files with 134 additions and 134 deletions

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@ -8,7 +8,7 @@ def bisection(function: Callable[[float], float], a: float, b: float) -> float:
1.0000000149011612
>>> bisection(lambda x: x ** 3 - 1, 2, 1000)
Traceback (most recent call last):
...
...
ValueError: could not find root in given interval.
>>> bisection(lambda x: x ** 2 - 4 * x + 3, 0, 2)
1.0
@ -16,7 +16,7 @@ def bisection(function: Callable[[float], float], a: float, b: float) -> float:
3.0
>>> bisection(lambda x: x ** 2 - 4 * x + 3, 4, 1000)
Traceback (most recent call last):
...
...
ValueError: could not find root in given interval.
"""
start: float = a

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@ -10,7 +10,7 @@ def intersection(function: Callable[[float], float], x0: float, x1: float) -> fl
0.9999999999954654
>>> intersection(lambda x: x ** 3 - 1, 5, 5)
Traceback (most recent call last):
...
...
ZeroDivisionError: float division by zero, could not find root
>>> intersection(lambda x: x ** 3 - 1, 100, 200)
1.0000000000003888
@ -24,7 +24,7 @@ def intersection(function: Callable[[float], float], x0: float, x1: float) -> fl
0.0
>>> intersection(math.cos, -math.pi, math.pi)
Traceback (most recent call last):
...
...
ZeroDivisionError: float division by zero, could not find root
"""
x_n: float = x0

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@ -42,7 +42,7 @@ def jacobi_iteration_method(
>>> iterations = 3
>>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
Traceback (most recent call last):
...
...
ValueError: Coefficient matrix dimensions must be nxn but received 2x3
>>> coefficient = np.array([[4, 1, 1], [1, 5, 2], [1, 2, 4]])
@ -51,7 +51,7 @@ def jacobi_iteration_method(
>>> iterations = 3
>>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
Traceback (most recent call last):
...
...
ValueError: Coefficient and constant matrices dimensions must be nxn and nx1 but
received 3x3 and 2x1
@ -61,7 +61,7 @@ def jacobi_iteration_method(
>>> iterations = 3
>>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
Traceback (most recent call last):
...
...
ValueError: Number of initial values must be equal to number of rows in coefficient
matrix but received 2 and 3
@ -71,7 +71,7 @@ def jacobi_iteration_method(
>>> iterations = 0
>>> jacobi_iteration_method(coefficient, constant, init_val, iterations)
Traceback (most recent call last):
...
...
ValueError: Iterations must be at least 1
"""
@ -138,7 +138,7 @@ def strictly_diagonally_dominant(table: NDArray[float64]) -> bool:
>>> table = np.array([[4, 1, 1, 2], [1, 5, 2, -6], [1, 2, 3, -4]])
>>> strictly_diagonally_dominant(table)
Traceback (most recent call last):
...
...
ValueError: Coefficient matrix is not strictly diagonally dominant
"""

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@ -31,7 +31,7 @@ def lower_upper_decomposition(
>>> matrix = np.array([[2, -2, 1], [0, 1, 2]])
>>> lower_upper_decomposition(matrix)
Traceback (most recent call last):
...
...
ValueError: 'table' has to be of square shaped array but got a 2x3 array:
[[ 2 -2 1]
[ 0 1 2]]

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@ -28,7 +28,7 @@ def newton(
1.5707963267948966
>>> newton(math.cos, lambda x: -math.sin(x), 0)
Traceback (most recent call last):
...
...
ZeroDivisionError: Could not find root
"""
prev_guess = float(starting_int)

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@ -32,7 +32,7 @@ def newton_raphson(
1.2186556186174883e-10
>>> newton_raphson('cos(x)', 0)
Traceback (most recent call last):
...
...
ZeroDivisionError: Could not find root
"""