NCERL-Diverse-PCG / src /utils /datastruct.py
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init
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class RingQueue:
def __init__(self, capacity):
self.main = []
self.p = 0
self.capacity = capacity
def push(self, item):
if len(self.main) < self.capacity:
self.main.append(item)
else:
self.main[self.p] = item
self.p = (self.p + 1) % self.capacity
def rear(self):
if len(self.main) < self.capacity:
return self.main[-1]
else:
return self.main[(self.p - 1) % self.capacity]
def front(self):
if len(self.main) < self.capacity:
return self.main[0]
else:
return self.main[self.p]
def to_list(self):
return self.main[self.p:] + self.main[:self.p]
def clear(self):
self.main.clear()
self.p = 0
def __len__(self):
return len(self.main)
def full(self):
return len(self.main) == self.capacity
def empty(self):
return len(self.main) == 0
class ConditionalDataBuffer:
def __init__(self):
self.main = []
def push(self, *items):
"""
Push however many items into the buffer
:val items: Any objects
:return: None
"""
for item in items:
self.main.append(item)
def collect(self, condition):
"""
Collect all items that meet the condition and remove them from the buffer
:val condition: A function to describe the collecting condition
:return: All items in the buffer that meet the condition
"""
i, j = 0, 0
roll_outs = []
while j < len(self):
item = self.main[j]
if condition(item):
roll_outs.append(item)
else:
if j != i:
self.main[i] = item
i += 1
j += 1
del self.main[i:]
return roll_outs
pass
def __str__(self):
return f'ConditionalBuffer({len(self)}): {str(self.main)}'
def __len__(self):
return len(self.main)
def batched_iter(arr, n):
for s in range(0, len(arr), n):
e = min(s + n, len(arr))
n = e - s
yield arr[s:e], n