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Python/data_structures/queue/priority_queue_using_list.py at master · davgit/Python · GitHub
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data_structures
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queue
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priority_queue_using_list.py
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queue
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priority_queue_using_list.py
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"""
Pure Python implementations of a Fixed Priority Queue and an Element Priority Queue
using Python lists.
"""
class
OverFlowError
(
Exception
):
pass
class
UnderFlowError
(
Exception
):
pass
class
FixedPriorityQueue
:
"""
Tasks can be added to a Priority Queue at any time and in any order but when Tasks
are removed then the Task with the highest priority is removed in FIFO order. In
code we will use three levels of priority with priority zero Tasks being the most
urgent (high priority) and priority 2 tasks being the least urgent.
Examples
>>> fpq = FixedPriorityQueue()
>>> fpq.enqueue(0, 10)
>>> fpq.enqueue(1, 70)
>>> fpq.enqueue(0, 100)
>>> fpq.enqueue(2, 1)
>>> fpq.enqueue(2, 5)
>>> fpq.enqueue(1, 7)
>>> fpq.enqueue(2, 4)
>>> fpq.enqueue(1, 64)
>>> fpq.enqueue(0, 128)
>>> print(fpq)
Priority 0: [10, 100, 128]
Priority 1: [70, 7, 64]
Priority 2: [1, 5, 4]
>>> fpq.dequeue()
10
>>> fpq.dequeue()
100
>>> fpq.dequeue()
128
>>> fpq.dequeue()
70
>>> fpq.dequeue()
7
>>> print(fpq)
Priority 0: []
Priority 1: [64]
Priority 2: [1, 5, 4]
>>> fpq.dequeue()
64
>>> fpq.dequeue()
1
>>> fpq.dequeue()
5
>>> fpq.dequeue()
4
>>> fpq.dequeue()
Traceback (most recent call last):
...
data_structures.queue.priority_queue_using_list.UnderFlowError: All queues are empty
>>> print(fpq)
Priority 0: []
Priority 1: []
Priority 2: []
"""
def
__init__
(
self
):
self
.
queues
=
[
[],
[],
[],
]
def
enqueue
(
self
,
priority
:
int
,
data
:
int
)
->
None
:
"""
Add an element to a queue based on its priority.
If the priority is invalid ValueError is raised.
If the queue is full an OverFlowError is raised.
"""
try
:
if
len
(
self
.
queues
[
priority
])
>=
100
:
raise
OverflowError
(
"Maximum queue size is 100"
)
self
.
queues
[
priority
].
append
(
data
)
except
IndexError
:
raise
ValueError
(
"Valid priorities are 0, 1, and 2"
)
def
dequeue
(
self
)
->
int
:
"""
Return the highest priority element in FIFO order.
If the queue is empty then an under flow exception is raised.
"""
for
queue
in
self
.
queues
:
if
queue
:
return
queue
.
pop
(
0
)
raise
UnderFlowError
(
"All queues are empty"
)
def
__str__
(
self
)
->
str
:
return
"
\n
"
.
join
(
f"Priority
{
i
}
:
{
q
}
"
for
i
,
q
in
enumerate
(
self
.
queues
))
class
ElementPriorityQueue
:
"""
Element Priority Queue is the same as Fixed Priority Queue except that the value of
the element itself is the priority. The rules for priorities are the same the as
Fixed Priority Queue.
>>> epq = ElementPriorityQueue()
>>> epq.enqueue(10)
>>> epq.enqueue(70)
>>> epq.enqueue(4)
>>> epq.enqueue(1)
>>> epq.enqueue(5)
>>> epq.enqueue(7)
>>> epq.enqueue(4)
>>> epq.enqueue(64)
>>> epq.enqueue(128)
>>> print(epq)
[10, 70, 4, 1, 5, 7, 4, 64, 128]
>>> epq.dequeue()
1
>>> epq.dequeue()
4
>>> epq.dequeue()
4
>>> epq.dequeue()
5
>>> epq.dequeue()
7
>>> epq.dequeue()
10
>>> print(epq)
[70, 64, 128]
>>> epq.dequeue()
64
>>> epq.dequeue()
70
>>> epq.dequeue()
128
>>> epq.dequeue()
Traceback (most recent call last):
...
data_structures.queue.priority_queue_using_list.UnderFlowError: The queue is empty
>>> print(epq)
[]
"""
def
__init__
(
self
):
self
.
queue
=
[]
def
enqueue
(
self
,
data
:
int
)
->
None
:
"""
This function enters the element into the queue
If the queue is full an Exception is raised saying Over Flow!
"""
if
len
(
self
.
queue
)
==
100
:
raise
OverFlowError
(
"Maximum queue size is 100"
)
self
.
queue
.
append
(
data
)
def
dequeue
(
self
)
->
int
:
"""
Return the highest priority element in FIFO order.
If the queue is empty then an under flow exception is raised.
"""
if
not
self
.
queue
:
raise
UnderFlowError
(
"The queue is empty"
)
else
:
data
=
min
(
self
.
queue
)
self
.
queue
.
remove
(
data
)
return
data
def
__str__
(
self
)
->
str
:
"""
Prints all the elements within the Element Priority Queue
"""
return
str
(
self
.
queue
)
def
fixed_priority_queue
():
fpq
=
FixedPriorityQueue
()
fpq
.
enqueue
(
0
,
10
)
fpq
.
enqueue
(
1
,
70
)
fpq
.
enqueue
(
0
,
100
)
fpq
.
enqueue
(
2
,
1
)
fpq
.
enqueue
(
2
,
5
)
fpq
.
enqueue
(
1
,
7
)
fpq
.
enqueue
(
2
,
4
)
fpq
.
enqueue
(
1
,
64
)
fpq
.
enqueue
(
0
,
128
)
print
(
fpq
)
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
print
(
fpq
)
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
print
(
fpq
.
dequeue
())
def
element_priority_queue
():
epq
=
ElementPriorityQueue
()
epq
.
enqueue
(
10
)
epq
.
enqueue
(
70
)
epq
.
enqueue
(
100
)
epq
.
enqueue
(
1
)
epq
.
enqueue
(
5
)
epq
.
enqueue
(
7
)
epq
.
enqueue
(
4
)
epq
.
enqueue
(
64
)
epq
.
enqueue
(
128
)
print
(
epq
)
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
print
(
epq
)
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
print
(
epq
.
dequeue
())
if
__name__
==
"__main__"
:
fixed_priority_queue
()
element_priority_queue
()
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