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#!/usr/bin/env python3
import random
from collections.abc import Iterator
from typing import Any, List, Optional
class PeekingIterator(Iterator):
"""An iterator that lets you peek at the next item on deck.
>>> p = PeekingIterator(iter(range(3)))
>>> p.__next__()
0
>>> p.peek()
1
>>> p.peek()
1
>>> p.__next__()
1
>>> p.__next__()
2
>>> p.peek() == None
True
>>> p.__next__()
Traceback (most recent call last):
...
StopIteration
"""
def __init__(self, source_iter: Iterator):
self.source_iter = source_iter
self.on_deck: List[Any] = []
def __iter__(self) -> Iterator:
return self
def __next__(self) -> Any:
if len(self.on_deck) > 0:
return self.on_deck.pop()
else:
item = self.source_iter.__next__()
return item
def peek(self) -> Optional[Any]:
if len(self.on_deck) > 0:
return self.on_deck[0]
try:
item = self.source_iter.__next__()
self.on_deck.append(item)
return self.peek()
except StopIteration:
return None
class SamplingIterator(Iterator):
"""An iterator that simply echoes what source_iter produces but also
collects a random sample (of size sample_size) of the stream that can
be queried at any time.
>>> import collections
>>> import random
>>> random.seed(22)
>>> s = SamplingIterator(iter(range(100)), 10)
>>> s.__next__()
0
>>> s.__next__()
1
>>> s()
[0, 1]
>>> collections.deque(s)
deque([2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99])
>>> s()
[78, 18, 47, 83, 93, 26, 25, 73, 94, 38]
"""
def __init__(self, source_iter: Iterator, sample_size: int):
self.source_iter = source_iter
self.sample_size = sample_size
self.resovoir: List[Any] = []
self.stream_length_so_far = 0
def __iter__(self) -> Iterator:
return self
def __next__(self) -> Any:
item = self.source_iter.__next__() # or raise
self.stream_length_so_far += 1
# Filling the resovoir
pop = len(self.resovoir)
if pop < self.sample_size:
self.resovoir.append(item)
if self.sample_size == (pop + 1): # just finished filling...
random.shuffle(self.resovoir)
# Swap this item for one in the resovoir with probabilty
# sample_size / stream_length_so_far. See:
#
# https://en.wikipedia.org/wiki/Reservoir_sampling
else:
r = random.randint(0, self.stream_length_so_far)
if r < self.sample_size:
self.resovoir[r] = item
return item
def __call__(self) -> List[Any]:
return self.resovoir
if __name__ == '__main__':
import doctest
doctest.testmod()
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