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Copy pathutils.py
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185 lines (136 loc) · 4.61 KB
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""" utilities for use """
import functools
import math
import collections
import bisect
def forEach(f, seq):
for elt in seq:
f(elt)
def is_in(elt, seq):
""" Use is for comparison in list"""
return any(x is elt for x in seq)
def printdb(lvl, *args,**nargs):
if lvl:
print(*args, **nargs)
class Queue():
"""Queue is an abstract class/interface. There are three types:
Stack(): A Last In First Out Queue.
FIFOQueue(): A First In First Out Queue.
PriorityQueue(order, f): Queue in sorted order (default min-first).
Each type supports the following methods and functions:
q.append(item) -- add an item to the queue
q.extend(items) -- equivalent to: for item in items: q.append(item)
q.pop() -- return the top item from the queue
len(q) -- number of items in q (also q.__len())
item in q -- does q contain item?
for item in q -- iterator
"""
def __init__(self):
raise NotImplementedError
def extend(self, items):
for item in items:
self.append(item)
class Stack(Queue):
def __init__(self):
self.queue = []
def append(self, item):
self.queue.append(item)
def extend(self, items):
self.queue.extend(items)
def clear(self):
del self.queue[:]
def pop(self):
return self.queue.pop()
def __len__(self):
return len(self.queue)
def __contains__(self, item):
return item in self.queue
def __getitem__(self, key):
for item in self.queue:
if item == key:
return item
def __delitem__(self, key):
self.remove(key)
def __repr__(self):
return str(self.queue)
def __iter__(self):
return iter(self.queue)
class FIFOQueue(Queue):
"""A First-In-First-Out Queue."""
def __init__(self, maxlen=None, items=[]):
self.queue = collections.deque(items, maxlen)
def append(self, item):
if not self.queue.maxlen or len(self.queue) < self.queue.maxlen:
self.queue.append(item)
else:
raise Exception('FIFOQueue is full')
def extend(self, items):
if not self.queue.maxlen or len(self.queue) + len(items) <= self.queue.maxlen:
self.queue.extend(items)
else:
raise Exception('FIFOQueue max length exceeded')
def clear(self):
while len(self.queue) > 0:
self.queue.popleft()
def pop(self):
if len(self.queue) > 0:
return self.queue.popleft()
else:
raise Exception('FIFOQueue is empty')
def __len__(self):
return len(self.queue)
def __contains__(self, item):
return item in self.queue
def __getitem__(self, key):
for item in self.queue:
if item == key:
return item
def __delitem__(self, key):
self.remove(key)
def __repr__(self):
return str(self.queue)
def __iter__(self):
return iter(self.queue)
class PriorityQueue(Queue):
"""A pqueue in which the minimum (or maximum) element (as determined by f and
order) is returned first. If order is min, the item with min f(x) is
returned first; if order is max, then it is the item with max f(x).
"""
def __init__(self, order=min, f=lambda x: x):
self.A = []
self.order = order
self.f = f
def append(self, item):
bisect.insort(self.A, (self.f(item), item))
def clear(self):
while len(self.A) > 0:
self.A.pop()
def __len__(self):
return len(self.A)
def pop(self):
if self.order == min:
return self.A.pop(0)[1]
else:
return self.A.pop()[1]
def __contains__(self, item):
return any(item == pair[1] for pair in self.A)
def __getitem__(self, key):
for _, item in self.A:
if item == key:
return item
def __delitem__(self, key):
for i, (value, item) in enumerate(self.A):
if item == key:
self.A.pop(i)
def __repr__(self):
return str([(value, str(item)) for (value, item) in self.A])
def __iter__(self):
if self.order == min:
return iter(map(lambda item: item[1], self.A))
else:
return iter(reversed(map(lambda item: item[1], self.A)))
def distance(a, b):
"""The distance between two (x, y) points."""
xA, yA = a
xB, yB = b
return math.hypot((xA - xB), (yA - yB))