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Fix long line, tests (#2123)

Browse Source 
* Fix long line

* updating DIRECTORY.md

* Add doctest

* ...

* ...

* Update tabu_search.py

* space

* Fix doctest

    >>> find_neighborhood(['a','c','b','d','e','a'])  # doctest: +NORMALIZE_WHITESPACE
    [['a','e','b','d','c','a',90], [['a','c','d','b','e','a',90],
     ['a','d','b','c','e','a',93], ['a','c','b','e','d','a',102],
     ['a','c','e','d','b','a',113], ['a','b','c','d','e','a',93]]

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: John Law <johnlaw.po@gmail.com>
This commit is contained in:
Christian Clauss 2020-06-16 14:29:13 +02:00 committed by GitHub
parent 9316e7c014
commit b9e5259aeb
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5 changed files with 20 additions and 9 deletions
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1
DIRECTORY.md
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@ -18,6 +18,7 @@
* [Hamiltonian Cycle](https://github.com/TheAlgorithms/Python/blob/master/backtracking/hamiltonian_cycle.py)
* [Minimax](https://github.com/TheAlgorithms/Python/blob/master/backtracking/minimax.py)
* [N Queens](https://github.com/TheAlgorithms/Python/blob/master/backtracking/n_queens.py)
* [Rat In Maze](https://github.com/TheAlgorithms/Python/blob/master/backtracking/rat_in_maze.py)
* [Sudoku](https://github.com/TheAlgorithms/Python/blob/master/backtracking/sudoku.py)
* [Sum Of Subsets](https://github.com/TheAlgorithms/Python/blob/master/backtracking/sum_of_subsets.py)

2
digital_image_processing/resize/resize.py
View File

@ -50,7 +50,7 @@ class NearestNeighbour:
:param y: Destination X coordinate
:return: Parent X coordinate based on `y ratio`
>>> nn = NearestNeighbour(imread("digital_image_processing/image_data/lena.jpg",
1), 100, 100)
... 1), 100, 100)
>>> nn.ratio_y = 0.5
>>> nn.get_y(4)
2

4
divide_and_conquer/convex_hull.py
View File

@ -325,10 +325,10 @@ def convex_hull_recursive(points):
>>> convex_hull_recursive([[0, 0], [1, 0], [10, 0]])
[(0.0, 0.0), (10.0, 0.0)]
>>> convex_hull_recursive([[-1, 1],[-1, -1], [0, 0], [0.5, 0.5], [1, -1], [1, 1],
[-0.75, 1]])
... [-0.75, 1]])
[(-1.0, -1.0), (-1.0, 1.0), (1.0, -1.0), (1.0, 1.0)]
>>> convex_hull_recursive([(0, 3), (2, 2), (1, 1), (2, 1), (3, 0), (0, 0), (3, 3),
(2, -1), (2, -4), (1, -3)])
... (2, -1), (2, -4), (1, -3)])
[(0.0, 0.0), (0.0, 3.0), (1.0, -3.0), (2.0, -4.0), (3.0, 0.0), (3.0, 3.0)]
"""

3
maths/gamma.py
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@ -29,7 +29,8 @@ def gamma(num: float) -> float:
40320.0
>>> from math import gamma as math_gamma
>>> all(gamma(i)/math_gamma(i) <= 1.000000001 and abs(gamma(i)/math_gamma(i)) > .99999999 for i in range(1, 50))
>>> all(.99999999 < gamma(i) / math_gamma(i) <= 1.000000001
... for i in range(1, 50))
True

19
searches/tabu_search.py
View File

@ -139,10 +139,19 @@ def find_neighborhood(solution, dict_of_neighbours):
from the solution that the method took as an input
Example:
>>> find_neighborhood(['a','c','b','d','e','a']) # doctest: +NORMALIZE_WHITESPACE
[['a','e','b','d','c','a',90], [['a','c','d','b','e','a',90],
['a','d','b','c','e','a',93], ['a','c','b','e','d','a',102],
['a','c','e','d','b','a',113], ['a','b','c','d','e','a',93]]
>>> find_neighborhood(['a', 'c', 'b', 'd', 'e', 'a'],
... {'a': [['b', '20'], ['c', '18'], ['d', '22'], ['e', '26']],
... 'c': [['a', '18'], ['b', '10'], ['d', '23'], ['e', '24']],
... 'b': [['a', '20'], ['c', '10'], ['d', '11'], ['e', '12']],
... 'e': [['a', '26'], ['b', '12'], ['c', '24'], ['d', '40']],
... 'd': [['a', '22'], ['b', '11'], ['c', '23'], ['e', '40']]}
... ) # doctest: +NORMALIZE_WHITESPACE
[['a', 'e', 'b', 'd', 'c', 'a', 90],
['a', 'c', 'd', 'b', 'e', 'a', 90],
['a', 'd', 'b', 'c', 'e', 'a', 93],
['a', 'c', 'b', 'e', 'd', 'a', 102],
['a', 'c', 'e', 'd', 'b', 'a', 113],
['a', 'b', 'c', 'd', 'e', 'a', 119]]
"""
neighborhood_of_solution = []
@ -209,7 +218,7 @@ def tabu_search(
best_cost_index = len(best_solution) - 1
found = False
while found is False:
while not found:
i = 0
while i < len(best_solution):