actions/checkout@v2 (#1643)

* actions/checkout@v2

https://github.com/actions/checkout/releases

* fixup! Format Python code with psf/black push
This commit is contained in:
Christian Clauss 2019-12-26 12:50:12 +01:00 committed by John Law
parent 1b3985837f
commit 34c808b375
7 changed files with 128 additions and 117 deletions

View File

@ -6,7 +6,7 @@ jobs:
build: build:
runs-on: ubuntu-latest runs-on: ubuntu-latest
steps: steps:
- uses: actions/checkout@v1 - uses: actions/checkout@v2
- uses: actions/setup-python@v1 - uses: actions/setup-python@v1
with: with:
python-version: 3.x python-version: 3.x

View File

@ -8,7 +8,7 @@ from math import * # noqa: F401, F403
from sympy import diff from sympy import diff
def newton_raphson(func: str, a: int, precision: int=10 ** -10) -> float: def newton_raphson(func: str, a: int, precision: int = 10 ** -10) -> float:
""" Finds root from the point 'a' onwards by Newton-Raphson method """ Finds root from the point 'a' onwards by Newton-Raphson method
>>> newton_raphson("sin(x)", 2) >>> newton_raphson("sin(x)", 2)
3.1415926536808043 3.1415926536808043

View File

@ -3,8 +3,10 @@ import sys
import cryptomath_module as cryptomath import cryptomath_module as cryptomath
SYMBOLS = (r""" !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`""" SYMBOLS = (
r"""abcdefghijklmnopqrstuvwxyz{|}~""") r""" !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`"""
r"""abcdefghijklmnopqrstuvwxyz{|}~"""
)
def main(): def main():

View File

@ -1,6 +1,8 @@
''' """
A binary search Tree A binary search Tree
''' """
class Node: class Node:
def __init__(self, value, parent): def __init__(self, value, parent):
self.value = value self.value = value
@ -13,16 +15,11 @@ class Node:
if self.left is None and self.right is None: if self.left is None and self.right is None:
return str(self.value) return str(self.value)
return pformat( return pformat({"%s" % (self.value): (self.left, self.right)}, indent=1,)
{
"%s"
% (self.value): (self.left, self.right)
},
indent=1,
)
class BinarySearchTree: class BinarySearchTree:
def __init__(self, root = None): def __init__(self, root=None):
self.root = root self.root = root
def __str__(self): def __str__(self):
@ -32,10 +29,10 @@ class BinarySearchTree:
return str(self.root) return str(self.root)
def __reassign_nodes(self, node, newChildren): def __reassign_nodes(self, node, newChildren):
if(newChildren is not None): # reset its kids if newChildren is not None: # reset its kids
newChildren.parent = node.parent newChildren.parent = node.parent
if(node.parent is not None): # reset its parent if node.parent is not None: # reset its parent
if(self.is_right(node)): # If it is the right children if self.is_right(node): # If it is the right children
node.parent.right = newChildren node.parent.right = newChildren
else: else:
node.parent.left = newChildren node.parent.left = newChildren
@ -55,10 +52,10 @@ class BinarySearchTree:
new_node = Node(value, None) # create a new Node new_node = Node(value, None) # create a new Node
if self.empty(): # if Tree is empty if self.empty(): # if Tree is empty
self.root = new_node # set its root self.root = new_node # set its root
else: # Tree is not empty else: # Tree is not empty
parent_node = self.root # from root parent_node = self.root # from root
while True: # While we don't get to a leaf while True: # While we don't get to a leaf
if value < parent_node.value: # We go left if value < parent_node.value: # We go left
if parent_node.left == None: if parent_node.left == None:
parent_node.left = new_node # We insert the new node in a leaf parent_node.left = new_node # We insert the new node in a leaf
break break
@ -87,43 +84,47 @@ class BinarySearchTree:
node = node.left if value < node.value else node.right node = node.left if value < node.value else node.right
return node return node
def get_max(self, node = None): def get_max(self, node=None):
""" """
We go deep on the right branch We go deep on the right branch
""" """
if node is None: if node is None:
node = self.root node = self.root
if not self.empty(): if not self.empty():
while(node.right is not None): while node.right is not None:
node = node.right node = node.right
return node return node
def get_min(self, node = None): def get_min(self, node=None):
""" """
We go deep on the left branch We go deep on the left branch
""" """
if(node is None): if node is None:
node = self.root node = self.root
if(not self.empty()): if not self.empty():
node = self.root node = self.root
while(node.left is not None): while node.left is not None:
node = node.left node = node.left
return node return node
def remove(self, value): def remove(self, value):
node = self.search(value) # Look for the node with that label node = self.search(value) # Look for the node with that label
if(node is not None): if node is not None:
if(node.left is None and node.right is None): # If it has no children if node.left is None and node.right is None: # If it has no children
self.__reassign_nodes(node, None) self.__reassign_nodes(node, None)
node = None node = None
elif(node.left is None): # Has only right children elif node.left is None: # Has only right children
self.__reassign_nodes(node, node.right) self.__reassign_nodes(node, node.right)
elif(node.right is None): # Has only left children elif node.right is None: # Has only left children
self.__reassign_nodes(node, node.left) self.__reassign_nodes(node, node.left)
else: else:
tmpNode = self.get_max(node.left) # Gets the max value of the left branch tmpNode = self.get_max(
node.left
) # Gets the max value of the left branch
self.remove(tmpNode.value) self.remove(tmpNode.value)
node.value = tmpNode.value # Assigns the value to the node to delete and keesp tree structure node.value = (
tmpNode.value
) # Assigns the value to the node to delete and keesp tree structure
def preorder_traverse(self, node): def preorder_traverse(self, node):
if node is not None: if node is not None:
@ -131,16 +132,17 @@ class BinarySearchTree:
yield from self.preorder_traverse(node.left) yield from self.preorder_traverse(node.left)
yield from self.preorder_traverse(node.right) yield from self.preorder_traverse(node.right)
def traversal_tree(self, traversalFunction = None): def traversal_tree(self, traversalFunction=None):
""" """
This function traversal the tree. This function traversal the tree.
You can pass a function to traversal the tree as needed by client code You can pass a function to traversal the tree as needed by client code
""" """
if(traversalFunction is None): if traversalFunction is None:
return self.preorder_traverse(self.root) return self.preorder_traverse(self.root)
else: else:
return traversalFunction(self.root) return traversalFunction(self.root)
def postorder(curr_node): def postorder(curr_node):
""" """
postOrder (left, right, self) postOrder (left, right, self)
@ -150,8 +152,9 @@ def postorder(curr_node):
nodeList = postorder(curr_node.left) + postorder(curr_node.right) + [curr_node] nodeList = postorder(curr_node.left) + postorder(curr_node.right) + [curr_node]
return nodeList return nodeList
def binary_search_tree(): def binary_search_tree():
r''' r"""
Example Example
8 8
/ \ / \
@ -170,7 +173,7 @@ def binary_search_tree():
Traceback (most recent call last): Traceback (most recent call last):
... ...
IndexError: Warning: Tree is empty! please use another. IndexError: Warning: Tree is empty! please use another.
''' """
testlist = (8, 3, 6, 1, 10, 14, 13, 4, 7) testlist = (8, 3, 6, 1, 10, 14, 13, 4, 7)
t = BinarySearchTree() t = BinarySearchTree()
for i in testlist: for i in testlist:
@ -179,17 +182,17 @@ def binary_search_tree():
# Prints all the elements of the list in order traversal # Prints all the elements of the list in order traversal
print(t) print(t)
if(t.search(6) is not None): if t.search(6) is not None:
print("The value 6 exists") print("The value 6 exists")
else: else:
print("The value 6 doesn't exist") print("The value 6 doesn't exist")
if(t.search(-1) is not None): if t.search(-1) is not None:
print("The value -1 exists") print("The value -1 exists")
else: else:
print("The value -1 doesn't exist") print("The value -1 doesn't exist")
if(not t.empty()): if not t.empty():
print("Max Value: ", t.get_max().value) print("Max Value: ", t.get_max().value)
print("Min Value: ", t.get_min().value) print("Min Value: ", t.get_min().value)
@ -197,9 +200,11 @@ def binary_search_tree():
t.remove(i) t.remove(i)
print(t) print(t)
二叉搜索树 = binary_search_tree 二叉搜索树 = binary_search_tree
if __name__ == "__main__": if __name__ == "__main__":
import doctest import doctest
doctest.testmod() doctest.testmod()
binary_search_tree() binary_search_tree()

View File

@ -1,11 +1,13 @@
# A complete working Python program to demonstrate all # A complete working Python program to demonstrate all
# stack operations using a doubly linked list # stack operations using a doubly linked list
class Node: class Node:
def __init__(self, data): def __init__(self, data):
self.data = data # Assign data self.data = data # Assign data
self.next = None # Initialize next as null self.next = None # Initialize next as null
self.prev = None # Initialize prev as null self.prev = None # Initialize prev as null
class Stack: class Stack:
""" """
@ -32,6 +34,7 @@ class Stack:
stack elements are: stack elements are:
2->1->0-> 2->1->0->
""" """
def __init__(self): def __init__(self):
self.head = None self.head = None
@ -75,12 +78,12 @@ class Stack:
print("stack elements are:") print("stack elements are:")
temp = self.head temp = self.head
while temp is not None: while temp is not None:
print(temp.data, end ="->") print(temp.data, end="->")
temp = temp.next temp = temp.next
# Code execution starts here # Code execution starts here
if __name__=='__main__': if __name__ == "__main__":
# Start with the empty stack # Start with the empty stack
stack = Stack() stack = Stack()

View File

@ -36,6 +36,7 @@ def dp_count(S, m, n):
return table[n] return table[n]
if __name__ == "__main__": if __name__ == "__main__":
import doctest import doctest

View File

@ -111,7 +111,7 @@ def simpson_integration(function, a: float, b: float, precision: int = 4) -> flo
for i in range(1, N_STEPS): for i in range(1, N_STEPS):
a1 = a + h * i a1 = a + h * i
result += function(a1) * (4 if i%2 else 2) result += function(a1) * (4 if i % 2 else 2)
result *= h / 3 result *= h / 3
return round(result, precision) return round(result, precision)