def test_delete_elem(self):
ol = OrderedList(True)
ol.add(0)
ol.add(1)
ol.add(2)
ol.delete(2)
assert ol.len() == 2
ol_elements = ol.get_all()
assert 2 not in ol_elements
def test_add_descending(self):
ol = OrderedList(False)
ol.add(-1)
ol.add(-1)
ol.add(13)
ol.add(15)
ol.add(-16)
ol_elements = ol.get_all()
assert ol_elements[0] == 15
assert ol_elements[1] == 13
assert ol_elements[2] == -1
assert ol_elements[3] == -1
assert ol_elements[4] == -16
assert ol.len() == 5
def test_find_elem(self):
ol = OrderedList(True)
ol.add(0)
ol.add(1)
ol.add(2)
assert ol.find(3) is None
assert ol.find(2).value == 2
def test_mixed(self):
lst = OrderedList()
cases = list(range(10))
random.shuffle(cases)
results = cases.copy()
for i, c in enumerate(cases):
with self.subTest(case=c):
def test_compare(self):
lst = OrderedList(True)
lst_desc = OrderedList(False)
cases = [
(0, 0),
(0, 1),
(1, 0),
]
results = [
(0, 0),
(1, -1),
(-1, 1),
]
for i, c in enumerate(cases):
with self.subTest(case=c):
res = lst.compare(c[0], c[1])
def test_find(self):
lst = OrderedList()
cases = list(range(-1, 3))
cases_to_find = [(0, 1), (0, 1), (1, ), (0, 1, 2, -1, 3)]
results = [(False, False), (True, False), (True, True),
(True, True, True, False, False)]
for i, c in enumerate(cases):
with self.subTest(case=c):
def __init__(self):
# db init
self.keycache = OrderedList()
self.db = connDB()
window = tk.Tk()
window.title("关键词搜索")
frame1 = Frame(window)
frame1.pack()
header = Message(frame1, text="检索")
header.grid(row=1, column=3)
frame2 = Frame(window)
frame2.pack()
self.v2 = IntVar()
rbRed = Radiobutton(frame2,
text="显示搜索结果链接",
bg="red",
variable=self.v2,
value=1,
command=self.processRadiobutton)
rbYellow = Radiobutton(frame2,
text="显示关联关键词",
bg="yellow",
variable=self.v2,
value=2,
command=self.processRadiobutton)
label = Label(frame2, text="Enter the keyword: ")
self.name = StringVar()
entryName = Entry(frame2, textvariable=self.name)
btGetName = Button(frame2, text="Search", command=self.processButton)
# grid layout
label.grid(row=1, column=1)
entryName.grid(row=1, column=2)
btGetName.grid(row=1, column=3)
# grid
rbRed.grid(row=2, column=2)
rbYellow.grid(row=2, column=3)
# display text
self.text = Text(window)
self.text.pack()
window.mainloop()
def worker(num):
"""thread worker function"""
print('Searcher: %s' % num)
db = initDB()
keycache = OrderedList()
while True:
keyword = input('Input the keywords to search:')
if keyword == 'quit': break
getresult(db, keycache, n, keyword)
return
def aStar(self, from_, where, start_at=1):
"""
Executes the aStar algorithm.
Fins a way from 'from_' to 'where' and returns it or raises
NotFoundException if no way has been found.
@from_: index of the item we are going from
@where: index of the item we desire to get as destination
@start_at: which is the first number in the enumeration?
"""
# fer funció que from i where existeixi (fora d'aquesta classe)
# Move from and where values to start from zero
from_, where = from_ - start_at, where - start_at
self.parcial_cost_table = {}
self.way_list = OrderedList()
self.way_list.add([from_], 0)
# n = 1
while self.way_list[0][0] != where and self.way_list:
# print(n)
# n+=1
head = self.way_list[0]
expanded = self.expand(head)
expanded = self.cleanCycles(expanded)
father_cost = self.way_list.get(0)[1] # get cost
# Remove head as we already explored it
self.way_list.remove(head)
# Remove all the ways that aren't optimized
self.removeRedundantWays(expanded, father_cost)
# Add all the ways that we found out in this iteration
for way in expanded:
cost = self.findCost(way, father_cost)
self.way_list.add(way, cost)
if self.way_list:
return self.way_list[0]
else:
raise NotFoundException()
def test_desc_direction(self):
d = OrderedList("desc")
fill([1,5,0,4,23,4,6], d)
self.assertEqual(str([23, 6, 5, 4, 4, 1, 0]), str(d))
return urlList
# add to cache
cache.add(question)
url = "http://www.baidu.com/s?wd=" + quote(
question.encode('utf-8')) + "&rn=" + str(num)
html_doc = get_html(url)
return get_news(db, question, html_doc, num)
def worker(num, keys, n, keycache):
"""thread worker function"""
print('Searcher thread: [%s]' % num)
db = initDB()
getresult(db, keycache, n, keys)
def start_search(keys, num, keycache):
t = threading.Thread(target=worker, args=(0, keys, num, keycache))
t.start()
if __name__ == '__main__':
q = "google" # for example keywords
keycache = OrderedList()
n = 20 # default links number
start_search(q, n, keycache)
from OrderedList import OrderedList
import random
o_list = OrderedList()
for i in range(10):
rand_num = random.randrange(0,10)
while o_list.search(rand_num):
rand_num = random.randrange(0,10)
o_list.add(rand_num)
print("After insertion:")
for item in o_list:
print(item,end=" ")
print()
for i in range(10):
rand_num = random.randrange(0,10)
while not(o_list.search(rand_num)):
rand_num = random.randrange(0,10)
o_list.remove(rand_num)
print("After deletion:")
for item in o_list:
print(item,end=" ")
print()
def test_tail(self):
lst = OrderedList()
cases = [i for i in range(10)]
results = cases.copy()
for i, c in enumerate(cases):
with self.subTest(case=c):
def test_compare(self):
ol = OrderedList(True)
assert ol.compare(0, 1) == -1
assert ol.compare(1, 0) == 1
assert ol.compare(1, 1) == 0
def test_asc_direction(self):
a = OrderedList("asc")
fill([1,5,0,4,23,4,6], a)
self.assertEqual(str([0, 1, 4, 4, 5, 6, 23]), str(a))
def Astartprocessing(self,initalnode,goalnode,freeNodes,ax):
#inital point
g = plt.Rectangle((initalnode[0].x, initalnode[0].y), initalnode[0].width, initalnode[0].height, facecolor='red')
ax.add_patch(g)
#goal point
g = plt.Rectangle((goalnode[0].x, goalnode[0].y), goalnode[0].width, goalnode[0].height, facecolor='green')
ax.add_patch(g)
unvisitedlist = OrderedList()
stop = False #check meet goal
foundpath = False
visitedlist = OrderedList()
unvisitedlist.add(initalnode[0])
k = 1
while(stop == False and foundpath == False):
currnode = unvisitedlist.pop().getData()
cost = self.findactualcost(currnode)
visitedlist.add(currnode)
#check close to goal
if(currnode.x <= goalnode[0].x <= currnode.x+currnode.width and currnode.y <= goalnode[0].y <= currnode.y+currnode.height):
foundpath = True
#find 8 direction's node
if(stop == False):
nearnodes = self.findAround(currnode,freeNodes)
#change actual cost in nearnodes
for node in nearnodes:
prex = node.x + node.width/2
prey = node.y + node.height/2
currx = currnode.x +currnode.width/2
curry = currnode.x+currnode.height/2
node.gValue = cost + self.getdistance(prex,prey,currx,curry)
found = unvisitedlist.search(node)
if(found != None):
if(found.gValue > node.gValue):
found.gValue = node.gValue
found.father = currnode
else:
if(visitedlist.search(node) == None):
node.father = currnode
unvisitedlist.add(node)
if(unvisitedlist == None):
stop = True
print("there is no path")
if(foundpath == True):
while (currnode.father!= None):
#print("currx = ", currnode.x, "curry = ", currnode.y, "goalx = ", goalnode[0].x, "goaly = ",
#goalnode[0].y)
g = plt.Rectangle((currnode.x, currnode.y), currnode.width, currnode.height, facecolor='gray')
ax.add_patch(g)
currnode = currnode.father
from OrderedList import OrderedList, Node ol = OrderedList() ol.add(1) ol.add(23) print(ol.index(1)) print(ol.length()) ol.add(17) ol.add(58) ol.pop(0) ol.display()
def testOrderedList():
ol = OrderedList()
while True:
print("Choose operation: ")
print(
" 1 - Add(data)\n",
"2 - Pop()\n",
"3 - Search(key)\n",
"4 - Remove(data)\n",
"5 - Size()\n",
"6 - Pop(pos)\n",
"7 - exit()\n",
)
choice = input()
if choice == '1':
ol = add(ol)
ol.__str__()
elif choice == '2':
ol = pop(ol)
ol.__str__()
elif choice == '3':
search(ol)
ol.__str__()
elif choice == '4':
ol = remove(ol)
ol.__str__()
elif choice == '5':
print("Size of list: %d" % ol.size())
ol.__str__()
elif choice == '6':
ol = popPos(ol)
ol.__str__()
elif choice == '7':
break
else:
print("Bad Choice - choose from valid options")
def test_front(self):
lst = OrderedList()
cases = [i for i in range(9, -1, -1)]
results = [i for i in range(10)]
for i, c in enumerate(cases):
with self.subTest(case=c):
from OrderedList import OrderedList
import random
o_list = OrderedList()
for i in range(10):
rand_num = random.randrange(0, 10)
while o_list.search(rand_num):
rand_num = random.randrange(0, 10)
o_list.add(rand_num)
print("After insertion:")
for item in o_list:
print(item, end=" ")
print()
for i in range(10):
rand_num = random.randrange(0, 10)
while not (o_list.search(rand_num)):
rand_num = random.randrange(0, 10)
o_list.remove(rand_num)
print("After deletion:")
for item in o_list:
print(item, end=" ")
print()
def __init__(self):
self.costs = None
self.heuristic = None
self.ignore = None
self.way_list = OrderedList()
self.parcial_cost_table = {}
class SearchStrategies:
"""
Provides a way to run various search strategies.
AStar usage:
create instance: search = SearchStrategies()
set the costs matrix: search.setCosts()
set the euristics matrix: search.setHeuristic()
(optional) set the ignore value: search.setIgnore(value)
run algorithm: search.run(from, where)
BFS usage:
create instance: search = SearchStrategies()
set cost matrix: search.setCosts
(optional) set the ignore value: search.setIgnore(value)
run algorithm: search.BFS(from, where)
"""
def __init__(self):
self.costs = None
self.heuristic = None
self.ignore = None
self.way_list = OrderedList()
self.parcial_cost_table = {}
def setCosts(self, costs):
"""
@costs: 2x2 matrix consisting in a list of lists
"""
self.costs = costs
def setHeuristic(self, heuristic):
"""
@heuristic: 2x2 matrix consisting in a list of lists
"""
self.heuristic = heuristic
def setIgnore(self, value):
"""
Value which represents 'unpassable' or 'invalid' ways.
Will be compared against each value in the cost matrix and if the
comparison is True, that cost will be ignored.
"""
self.ignore = value
def aStar(self, from_, where, start_at=1):
"""
Executes the aStar algorithm.
Fins a way from 'from_' to 'where' and returns it or raises
NotFoundException if no way has been found.
@from_: index of the item we are going from
@where: index of the item we desire to get as destination
@start_at: which is the first number in the enumeration?
"""
# fer funció que from i where existeixi (fora d'aquesta classe)
# Move from and where values to start from zero
from_, where = from_ - start_at, where - start_at
self.parcial_cost_table = {}
self.way_list = OrderedList()
self.way_list.add([from_], 0)
# n = 1
while self.way_list[0][0] != where and self.way_list:
# print(n)
# n+=1
head = self.way_list[0]
expanded = self.expand(head)
expanded = self.cleanCycles(expanded)
father_cost = self.way_list.get(0)[1] # get cost
# Remove head as we already explored it
self.way_list.remove(head)
# Remove all the ways that aren't optimized
self.removeRedundantWays(expanded, father_cost)
# Add all the ways that we found out in this iteration
for way in expanded:
cost = self.findCost(way, father_cost)
self.way_list.add(way, cost)
if self.way_list:
return self.way_list[0]
else:
raise NotFoundException()
def BFS(self, from_, where, start_at=1):
"""
Executes the Breath First Search algorithm.
Fins a way from 'from_' to 'where' and returns it or raises
NotFoundException if no way has been found.
@from_: index of the item we are going from
@where: index of the item we desire to get as destination
@start_at: which is the first number in the enumeration?
"""
from_, where = from_ - start_at, where - start_at
self.way_list = []
self.way_list.append([from_])
while self.way_list[0][0] != where and self.way_list:
head = self.way_list[0]
expanded = self.expand(head)
expanded = self.cleanCycles(expanded)
# Remove head as we already explored it
self.way_list.remove(head)
# Add all the ways that we found out in this iteration
for way in expanded:
self.way_list.append(way)
if self.way_list:
return self.way_list[0]
else:
raise NotFoundException()
def expand(self, way):
"""
Returns a list of all the possible ways that we can produce from the given
way.
@way: list containing a way (list of nodes).
"""
head = way[0] # CARE
return_list = []
# Traverse the matrix by row
for i, cost in enumerate(self.costs[head]):
if cost != self.ignore:
copied_list = copy.copy(way)
copied_list.insert(0, i)
return_list.append(copied_list)
return_list.append(copied_list)
# Traverse the matrix by column (this way we can give only half the table
# when we make the costs).
i, j = head, head
length = len(self.costs)
while j < length:
cost = self.costs[j][i]
assert isinstance(cost, int) or isinstance(cost, float)
if cost != self.ignore:
copied_list = copy.copy(way)
copied_list.insert(0, j)
return_list.append(copied_list)
j += 1
return return_list
def cleanCycles(self, ways):
"""
Checks the given ways and returns a list of those ways that have no cycles.
@ways: list of lists consisting of ways.
"""
return_list = []
for way in ways:
if way[0] in way[1:]:
continue
return_list.append(way)
return return_list
def findCost(self, way, father_cost):
"""
Returns the cost of the given way.
@way: list containing a way (list of nodes).
@father_cost: acumulated cost in previous steps.
Example:
[10,9,7,6,4]
cost [9,7,6,4] = father_cost
return cost[9->10] + father_cost
"""
# Get indexes which will be used for searching the cost
i = way[0]
j = way[1]
# If j is bigger than i, we just invert them, that way we can make sure
# that the program will work even if we just provide half the
# cost table (which can save a lot of space).
if i > j:
i, j = j, i
cost = self.costs[j][i]
return cost + father_cost
def removeRedundantWays(self, expanded, father_cost):
"""
Checks every way in the expanded list against the value in the parcial cost
table.
If that way isn't optimum, we remove it in order to make the algorithm faster.
@expanded: 2x2 matrix of possible ways we can go from the actual head.
@father_cost: cost of the way from origin to the previous father node.
"""
# Traverse list from last to first as we may need to remove items
# as we are iterating through it.
for i in range(len(expanded) - 1, -1, -1):
way = expanded[i]
head = way[0]
parcial_cost = self.parcial_cost_table.get(way[0], "NotFound")
way_cost = self.findCost(way, father_cost)
if way_cost < parcial_cost or parcial_cost == "NotFound":
# Update the table with the new cost
self.parcial_cost_table[head] = way_cost
# Remove ways in the way_list that have the same cost as the parcial cost
to_remove = []
for item, cost in self.way_list.iterWithValues():
if cost == parcial_cost and item[0] == head:
to_remove.append(item)
for removable in to_remove:
self.way_list.remove(removable)
else:
expanded.pop(i)
def __init__(self):
path = OrderedList()
def test_find_item(self):
a = OrderedList("asc")
fill([1,5,0,4,23,4,6], a)
self.assertEqual("Item not found, interrupt", a.find(Node2(2)))
def testOrderedList():
ol = OrderedList()
while True:
print ("Choose operation: ")
print (" 1 - Add(data)\n",
"2 - Pop()\n",
"3 - Search(key)\n",
"4 - Remove(data)\n",
"5 - Size()\n",
"6 - Pop(pos)\n",
"7 - exit()\n",
)
choice = input()
if choice == '1':
ol = add(ol)
ol.__str__()
elif choice == '2':
ol = pop(ol)
ol.__str__()
elif choice == '3':
search(ol)
ol.__str__()
elif choice == '4':
ol = remove(ol)
ol.__str__()
elif choice == '5':
print ("Size of list: %d" % ol.size())
ol.__str__()
elif choice == '6':
ol = popPos(ol)
ol.__str__()
elif choice == '7':
break
else:
print ("Bad Choice - choose from valid options")
def test_find_item(self):
a = OrderedList("asc")
fill(["a bta", "bc", "poiuy", "ceda", "eczxc", "zsasasd"], a)
self.assertEqual("Item not found, interrupt", a.find(Node2("c")))
from UnorderedList import UnorderedList
from OrderedList import OrderedList
name_list = ["Gill", "Tom", "Eduardo", "Raffaele", "Serena", "Bella"]
my_unorderedlist = UnorderedList()
for name in name_list:
my_unorderedlist.add(name)
for item in my_unorderedlist:
print(item, end=" ")
print()
my_orderedlist = OrderedList()
for name in name_list:
my_orderedlist.add(name)
for item in my_orderedlist:
print(item, end=" ")
print()
from OrderedList import OrderedList newList = OrderedList() newList.add(5) newList.add(8) newList.add(10) newList.add(9) newList.add(4) print(newList) print(newList.index(-5)) print(newList)
from OrderedList import OrderedList
def print_list(ol):
current = ol.head
while current != None:
print(current.get_data(), end=" ")
current = current.get_next()
print()
ol = OrderedList()
for i in range(10, 0, -1):
ol.add(i)
ol.add(0)
print_list(ol)
print('Size of the list: %d' % ol.size())
print('Removing 5 from the list: %s' % ol.remove(5))
print_list(ol)
for i in range(-1, 12):
print('Is %d in the list? %s' % (i, ol.search(i)))
print('Is 300 in the list? %s' % ol.search(300))