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Fixes unused variable errors in LGTM (#1746)
* Fixes unsed variable errors in LGTM * Fixes integer check * Fixes failing tests
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@ -29,9 +29,6 @@ def mixed_keyword(key="college", pt="UNIVERSITY"):
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# print(temp)
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alpha = []
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modalpha = []
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# modalpha.append(temp)
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dic = dict()
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c = 0
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for i in range(65, 91):
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t = chr(i)
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alpha.append(t)
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@ -76,7 +76,7 @@ class BinarySearchTree:
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def search(self, value):
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if self.empty():
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raise IndexError("Warning: Tree is empty! please use another. ")
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raise IndexError("Warning: Tree is empty! please use another.")
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else:
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node = self.root
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# use lazy evaluation here to avoid NoneType Attribute error
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@ -112,7 +112,6 @@ class BinarySearchTree:
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if node is not None:
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if node.left is None and node.right is None: # If it has no children
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self.__reassign_nodes(node, None)
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node = None
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elif node.left is None: # Has only right children
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self.__reassign_nodes(node, node.right)
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elif node.right is None: # Has only left children
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@ -154,7 +153,7 @@ def postorder(curr_node):
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def binary_search_tree():
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r"""
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"""
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Example
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8
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/ \
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@ -164,15 +163,15 @@ def binary_search_tree():
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/ \ /
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4 7 13
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>>> t = BinarySearchTree().insert(8, 3, 6, 1, 10, 14, 13, 4, 7)
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree()))
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8 3 1 6 4 7 10 14 13
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree(postorder)))
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1 4 7 6 3 13 14 10 8
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>>> BinarySearchTree().search(6)
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Traceback (most recent call last):
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...
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IndexError: Warning: Tree is empty! please use another.
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>>> t = BinarySearchTree().insert(8, 3, 6, 1, 10, 14, 13, 4, 7)
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree()))
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8 3 1 6 4 7 10 14 13
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree(postorder)))
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1 4 7 6 3 13 14 10 8
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>>> BinarySearchTree().search(6)
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Traceback (most recent call last):
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...
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IndexError: Warning: Tree is empty! please use another.
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"""
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testlist = (8, 3, 6, 1, 10, 14, 13, 4, 7)
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t = BinarySearchTree()
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@ -201,10 +200,8 @@ def binary_search_tree():
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print(t)
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二叉搜索树 = binary_search_tree
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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binary_search_tree()
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# binary_search_tree()
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@ -52,7 +52,6 @@ def search(grid, init, goal, cost, heuristic):
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while not found and not resign:
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if len(cell) == 0:
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resign = True
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return "FAIL"
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else:
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cell.sort() # to choose the least costliest action so as to move closer to the goal
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@ -61,7 +60,6 @@ def search(grid, init, goal, cost, heuristic):
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x = next[2]
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y = next[3]
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g = next[1]
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f = next[0]
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if x == goal[0] and y == goal[1]:
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found = True
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@ -84,7 +84,6 @@ def emitterConverter(sizePar, data):
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dataOut = []
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parity = []
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binPos = [bin(x)[2:] for x in range(1, sizePar + len(data) + 1)]
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pos = [x for x in range(1, sizePar + len(data) + 1)]
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# sorted information data for the size of the output data
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dataOrd = []
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@ -188,7 +187,6 @@ def receptorConverter(sizePar, data):
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dataOut = []
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parity = []
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binPos = [bin(x)[2:] for x in range(1, sizePar + len(dataOutput) + 1)]
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pos = [x for x in range(1, sizePar + len(dataOutput) + 1)]
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# sorted information data for the size of the output data
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dataOrd = []
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@ -68,7 +68,6 @@ def points_to_polynomial(coordinates):
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# put the y values into a vector
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vector = []
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while count_of_line < x:
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count_in_line = 0
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vector.append(coordinates[count_of_line][1])
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count_of_line += 1
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@ -111,12 +111,9 @@ def inverse(matrix):
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def _check_not_integer(matrix):
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try:
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rows = len(matrix)
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cols = len(matrix[0])
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if not isinstance(matrix, int) and not isinstance(matrix[0], int):
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return True
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except TypeError:
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raise TypeError("Cannot input an integer value, it must be a matrix")
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raise TypeError("Expected a matrix, got int/list instead")
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def _shape(matrix):
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