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Edit: _itertools.py
from collections import defaultdict, deque from itertools import filterfalse def unique_everseen(iterable, key=None): "List unique elements, preserving order. Remember all elements ever seen." # unique_everseen('AAAABBBCCDAABBB') --> A B C D # unique_everseen('ABBCcAD', str.lower) --> A B C D seen = set() seen_add = seen.add if key is None: for element in filterfalse(seen.__contains__, iterable): seen_add(element) yield element else: for element in iterable: k = key(element) if k not in seen: seen_add(k) yield element # copied from more_itertools 8.8 def always_iterable(obj, base_type=(str, bytes)): """If *obj* is iterable, return an iterator over its items:: >>> obj = (1, 2, 3) >>> list(always_iterable(obj)) [1, 2, 3] If *obj* is not iterable, return a one-item iterable containing *obj*:: >>> obj = 1 >>> list(always_iterable(obj)) [1] If *obj* is ``None``, return an empty iterable: >>> obj = None >>> list(always_iterable(None)) [] By default, binary and text strings are not considered iterable:: >>> obj = 'foo' >>> list(always_iterable(obj)) ['foo'] If *base_type* is set, objects for which ``isinstance(obj, base_type)`` returns ``True`` won't be considered iterable. >>> obj = {'a': 1} >>> list(always_iterable(obj)) # Iterate over the dict's keys ['a'] >>> list(always_iterable(obj, base_type=dict)) # Treat dicts as a unit [{'a': 1}] Set *base_type* to ``None`` to avoid any special handling and treat objects Python considers iterable as iterable: >>> obj = 'foo' >>> list(always_iterable(obj, base_type=None)) ['f', 'o', 'o'] """ if obj is None: return iter(()) if (base_type is not None) and isinstance(obj, base_type): return iter((obj,)) try: return iter(obj) except TypeError: return iter((obj,)) # Copied from more_itertools 10.3 class bucket: """Wrap *iterable* and return an object that buckets the iterable into child iterables based on a *key* function. >>> iterable = ['a1', 'b1', 'c1', 'a2', 'b2', 'c2', 'b3'] >>> s = bucket(iterable, key=lambda x: x[0]) # Bucket by 1st character >>> sorted(list(s)) # Get the keys ['a', 'b', 'c'] >>> a_iterable = s['a'] >>> next(a_iterable) 'a1' >>> next(a_iterable) 'a2' >>> list(s['b']) ['b1', 'b2', 'b3'] The original iterable will be advanced and its items will be cached until they are used by the child iterables. This may require significant storage. By default, attempting to select a bucket to which no items belong will exhaust the iterable and cache all values. If you specify a *validator* function, selected buckets will instead be checked against it. >>> from itertools import count >>> it = count(1, 2) # Infinite sequence of odd numbers >>> key = lambda x: x % 10 # Bucket by last digit >>> validator = lambda x: x in {1, 3, 5, 7, 9} # Odd digits only >>> s = bucket(it, key=key, validator=validator) >>> 2 in s False >>> list(s[2]) [] """ def __init__(self, iterable, key, validator=None): self._it = iter(iterable) self._key = key self._cache = defaultdict(deque) self._validator = validator or (lambda x: True) def __contains__(self, value): if not self._validator(value): return False try: item = next(self[value]) except StopIteration: return False else: self._cache[value].appendleft(item) return True def _get_values(self, value): """ Helper to yield items from the parent iterator that match *value*. Items that don't match are stored in the local cache as they are encountered. """ while True: # If we've cached some items that match the target value, emit # the first one and evict it from the cache. if self._cache[value]: yield self._cache[value].popleft() # Otherwise we need to advance the parent iterator to search for # a matching item, caching the rest. else: while True: try: item = next(self._it) except StopIteration: return item_value = self._key(item) if item_value == value: yield item break elif self._validator(item_value): self._cache[item_value].append(item) def __iter__(self): for item in self._it: item_value = self._key(item) if self._validator(item_value): self._cache[item_value].append(item) yield from self._cache.keys() def __getitem__(self, value): if not self._validator(value): return iter(()) return self._get_values(value)
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