You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
945 lines
32 KiB
945 lines
32 KiB
"""
|
|
Miscellaneous function (re)definitions from the Py3.4+ standard library
|
|
for Python 2.6/2.7.
|
|
|
|
- math.ceil (for Python 2.7)
|
|
- collections.OrderedDict (for Python 2.6)
|
|
- collections.Counter (for Python 2.6)
|
|
- collections.ChainMap (for all versions prior to Python 3.3)
|
|
- itertools.count (for Python 2.6, with step parameter)
|
|
- subprocess.check_output (for Python 2.6)
|
|
- reprlib.recursive_repr (for Python 2.6+)
|
|
- functools.cmp_to_key (for Python 2.6)
|
|
"""
|
|
|
|
from __future__ import absolute_import
|
|
|
|
import subprocess
|
|
from math import ceil as oldceil
|
|
|
|
from operator import itemgetter as _itemgetter, eq as _eq
|
|
import sys
|
|
import heapq as _heapq
|
|
from _weakref import proxy as _proxy
|
|
from itertools import repeat as _repeat, chain as _chain, starmap as _starmap
|
|
from socket import getaddrinfo, SOCK_STREAM, error, socket
|
|
|
|
from future.utils import iteritems, itervalues, PY2, PY26, PY3
|
|
|
|
if PY2:
|
|
from collections import Mapping, MutableMapping
|
|
else:
|
|
from collections.abc import Mapping, MutableMapping
|
|
|
|
|
|
def ceil(x):
|
|
"""
|
|
Return the ceiling of x as an int.
|
|
This is the smallest integral value >= x.
|
|
"""
|
|
return int(oldceil(x))
|
|
|
|
|
|
########################################################################
|
|
### reprlib.recursive_repr decorator from Py3.4
|
|
########################################################################
|
|
|
|
from itertools import islice
|
|
|
|
if PY3:
|
|
try:
|
|
from _thread import get_ident
|
|
except ImportError:
|
|
from _dummy_thread import get_ident
|
|
else:
|
|
try:
|
|
from thread import get_ident
|
|
except ImportError:
|
|
from dummy_thread import get_ident
|
|
|
|
|
|
def recursive_repr(fillvalue='...'):
|
|
'Decorator to make a repr function return fillvalue for a recursive call'
|
|
|
|
def decorating_function(user_function):
|
|
repr_running = set()
|
|
|
|
def wrapper(self):
|
|
key = id(self), get_ident()
|
|
if key in repr_running:
|
|
return fillvalue
|
|
repr_running.add(key)
|
|
try:
|
|
result = user_function(self)
|
|
finally:
|
|
repr_running.discard(key)
|
|
return result
|
|
|
|
# Can't use functools.wraps() here because of bootstrap issues
|
|
wrapper.__module__ = getattr(user_function, '__module__')
|
|
wrapper.__doc__ = getattr(user_function, '__doc__')
|
|
wrapper.__name__ = getattr(user_function, '__name__')
|
|
wrapper.__annotations__ = getattr(user_function, '__annotations__', {})
|
|
return wrapper
|
|
|
|
return decorating_function
|
|
|
|
|
|
################################################################################
|
|
### OrderedDict
|
|
################################################################################
|
|
|
|
class _Link(object):
|
|
__slots__ = 'prev', 'next', 'key', '__weakref__'
|
|
|
|
class OrderedDict(dict):
|
|
'Dictionary that remembers insertion order'
|
|
# An inherited dict maps keys to values.
|
|
# The inherited dict provides __getitem__, __len__, __contains__, and get.
|
|
# The remaining methods are order-aware.
|
|
# Big-O running times for all methods are the same as regular dictionaries.
|
|
|
|
# The internal self.__map dict maps keys to links in a doubly linked list.
|
|
# The circular doubly linked list starts and ends with a sentinel element.
|
|
# The sentinel element never gets deleted (this simplifies the algorithm).
|
|
# The sentinel is in self.__hardroot with a weakref proxy in self.__root.
|
|
# The prev links are weakref proxies (to prevent circular references).
|
|
# Individual links are kept alive by the hard reference in self.__map.
|
|
# Those hard references disappear when a key is deleted from an OrderedDict.
|
|
|
|
def __init__(*args, **kwds):
|
|
'''Initialize an ordered dictionary. The signature is the same as
|
|
regular dictionaries, but keyword arguments are not recommended because
|
|
their insertion order is arbitrary.
|
|
|
|
'''
|
|
if not args:
|
|
raise TypeError("descriptor '__init__' of 'OrderedDict' object "
|
|
"needs an argument")
|
|
self = args[0]
|
|
args = args[1:]
|
|
if len(args) > 1:
|
|
raise TypeError('expected at most 1 arguments, got %d' % len(args))
|
|
try:
|
|
self.__root
|
|
except AttributeError:
|
|
self.__hardroot = _Link()
|
|
self.__root = root = _proxy(self.__hardroot)
|
|
root.prev = root.next = root
|
|
self.__map = {}
|
|
self.__update(*args, **kwds)
|
|
|
|
def __setitem__(self, key, value,
|
|
dict_setitem=dict.__setitem__, proxy=_proxy, Link=_Link):
|
|
'od.__setitem__(i, y) <==> od[i]=y'
|
|
# Setting a new item creates a new link at the end of the linked list,
|
|
# and the inherited dictionary is updated with the new key/value pair.
|
|
if key not in self:
|
|
self.__map[key] = link = Link()
|
|
root = self.__root
|
|
last = root.prev
|
|
link.prev, link.next, link.key = last, root, key
|
|
last.next = link
|
|
root.prev = proxy(link)
|
|
dict_setitem(self, key, value)
|
|
|
|
def __delitem__(self, key, dict_delitem=dict.__delitem__):
|
|
'od.__delitem__(y) <==> del od[y]'
|
|
# Deleting an existing item uses self.__map to find the link which gets
|
|
# removed by updating the links in the predecessor and successor nodes.
|
|
dict_delitem(self, key)
|
|
link = self.__map.pop(key)
|
|
link_prev = link.prev
|
|
link_next = link.next
|
|
link_prev.next = link_next
|
|
link_next.prev = link_prev
|
|
|
|
def __iter__(self):
|
|
'od.__iter__() <==> iter(od)'
|
|
# Traverse the linked list in order.
|
|
root = self.__root
|
|
curr = root.next
|
|
while curr is not root:
|
|
yield curr.key
|
|
curr = curr.next
|
|
|
|
def __reversed__(self):
|
|
'od.__reversed__() <==> reversed(od)'
|
|
# Traverse the linked list in reverse order.
|
|
root = self.__root
|
|
curr = root.prev
|
|
while curr is not root:
|
|
yield curr.key
|
|
curr = curr.prev
|
|
|
|
def clear(self):
|
|
'od.clear() -> None. Remove all items from od.'
|
|
root = self.__root
|
|
root.prev = root.next = root
|
|
self.__map.clear()
|
|
dict.clear(self)
|
|
|
|
def popitem(self, last=True):
|
|
'''od.popitem() -> (k, v), return and remove a (key, value) pair.
|
|
Pairs are returned in LIFO order if last is true or FIFO order if false.
|
|
|
|
'''
|
|
if not self:
|
|
raise KeyError('dictionary is empty')
|
|
root = self.__root
|
|
if last:
|
|
link = root.prev
|
|
link_prev = link.prev
|
|
link_prev.next = root
|
|
root.prev = link_prev
|
|
else:
|
|
link = root.next
|
|
link_next = link.next
|
|
root.next = link_next
|
|
link_next.prev = root
|
|
key = link.key
|
|
del self.__map[key]
|
|
value = dict.pop(self, key)
|
|
return key, value
|
|
|
|
def move_to_end(self, key, last=True):
|
|
'''Move an existing element to the end (or beginning if last==False).
|
|
|
|
Raises KeyError if the element does not exist.
|
|
When last=True, acts like a fast version of self[key]=self.pop(key).
|
|
|
|
'''
|
|
link = self.__map[key]
|
|
link_prev = link.prev
|
|
link_next = link.next
|
|
link_prev.next = link_next
|
|
link_next.prev = link_prev
|
|
root = self.__root
|
|
if last:
|
|
last = root.prev
|
|
link.prev = last
|
|
link.next = root
|
|
last.next = root.prev = link
|
|
else:
|
|
first = root.next
|
|
link.prev = root
|
|
link.next = first
|
|
root.next = first.prev = link
|
|
|
|
def __sizeof__(self):
|
|
sizeof = sys.getsizeof
|
|
n = len(self) + 1 # number of links including root
|
|
size = sizeof(self.__dict__) # instance dictionary
|
|
size += sizeof(self.__map) * 2 # internal dict and inherited dict
|
|
size += sizeof(self.__hardroot) * n # link objects
|
|
size += sizeof(self.__root) * n # proxy objects
|
|
return size
|
|
|
|
update = __update = MutableMapping.update
|
|
keys = MutableMapping.keys
|
|
values = MutableMapping.values
|
|
items = MutableMapping.items
|
|
__ne__ = MutableMapping.__ne__
|
|
|
|
__marker = object()
|
|
|
|
def pop(self, key, default=__marker):
|
|
'''od.pop(k[,d]) -> v, remove specified key and return the corresponding
|
|
value. If key is not found, d is returned if given, otherwise KeyError
|
|
is raised.
|
|
|
|
'''
|
|
if key in self:
|
|
result = self[key]
|
|
del self[key]
|
|
return result
|
|
if default is self.__marker:
|
|
raise KeyError(key)
|
|
return default
|
|
|
|
def setdefault(self, key, default=None):
|
|
'od.setdefault(k[,d]) -> od.get(k,d), also set od[k]=d if k not in od'
|
|
if key in self:
|
|
return self[key]
|
|
self[key] = default
|
|
return default
|
|
|
|
@recursive_repr()
|
|
def __repr__(self):
|
|
'od.__repr__() <==> repr(od)'
|
|
if not self:
|
|
return '%s()' % (self.__class__.__name__,)
|
|
return '%s(%r)' % (self.__class__.__name__, list(self.items()))
|
|
|
|
def __reduce__(self):
|
|
'Return state information for pickling'
|
|
inst_dict = vars(self).copy()
|
|
for k in vars(OrderedDict()):
|
|
inst_dict.pop(k, None)
|
|
return self.__class__, (), inst_dict or None, None, iter(self.items())
|
|
|
|
def copy(self):
|
|
'od.copy() -> a shallow copy of od'
|
|
return self.__class__(self)
|
|
|
|
@classmethod
|
|
def fromkeys(cls, iterable, value=None):
|
|
'''OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S.
|
|
If not specified, the value defaults to None.
|
|
|
|
'''
|
|
self = cls()
|
|
for key in iterable:
|
|
self[key] = value
|
|
return self
|
|
|
|
def __eq__(self, other):
|
|
'''od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive
|
|
while comparison to a regular mapping is order-insensitive.
|
|
|
|
'''
|
|
if isinstance(other, OrderedDict):
|
|
return dict.__eq__(self, other) and all(map(_eq, self, other))
|
|
return dict.__eq__(self, other)
|
|
|
|
|
|
# {{{ http://code.activestate.com/recipes/576611/ (r11)
|
|
|
|
try:
|
|
from operator import itemgetter
|
|
from heapq import nlargest
|
|
except ImportError:
|
|
pass
|
|
|
|
########################################################################
|
|
### Counter
|
|
########################################################################
|
|
|
|
def _count_elements(mapping, iterable):
|
|
'Tally elements from the iterable.'
|
|
mapping_get = mapping.get
|
|
for elem in iterable:
|
|
mapping[elem] = mapping_get(elem, 0) + 1
|
|
|
|
class Counter(dict):
|
|
'''Dict subclass for counting hashable items. Sometimes called a bag
|
|
or multiset. Elements are stored as dictionary keys and their counts
|
|
are stored as dictionary values.
|
|
|
|
>>> c = Counter('abcdeabcdabcaba') # count elements from a string
|
|
|
|
>>> c.most_common(3) # three most common elements
|
|
[('a', 5), ('b', 4), ('c', 3)]
|
|
>>> sorted(c) # list all unique elements
|
|
['a', 'b', 'c', 'd', 'e']
|
|
>>> ''.join(sorted(c.elements())) # list elements with repetitions
|
|
'aaaaabbbbcccdde'
|
|
>>> sum(c.values()) # total of all counts
|
|
15
|
|
|
|
>>> c['a'] # count of letter 'a'
|
|
5
|
|
>>> for elem in 'shazam': # update counts from an iterable
|
|
... c[elem] += 1 # by adding 1 to each element's count
|
|
>>> c['a'] # now there are seven 'a'
|
|
7
|
|
>>> del c['b'] # remove all 'b'
|
|
>>> c['b'] # now there are zero 'b'
|
|
0
|
|
|
|
>>> d = Counter('simsalabim') # make another counter
|
|
>>> c.update(d) # add in the second counter
|
|
>>> c['a'] # now there are nine 'a'
|
|
9
|
|
|
|
>>> c.clear() # empty the counter
|
|
>>> c
|
|
Counter()
|
|
|
|
Note: If a count is set to zero or reduced to zero, it will remain
|
|
in the counter until the entry is deleted or the counter is cleared:
|
|
|
|
>>> c = Counter('aaabbc')
|
|
>>> c['b'] -= 2 # reduce the count of 'b' by two
|
|
>>> c.most_common() # 'b' is still in, but its count is zero
|
|
[('a', 3), ('c', 1), ('b', 0)]
|
|
|
|
'''
|
|
# References:
|
|
# http://en.wikipedia.org/wiki/Multiset
|
|
# http://www.gnu.org/software/smalltalk/manual-base/html_node/Bag.html
|
|
# http://www.demo2s.com/Tutorial/Cpp/0380__set-multiset/Catalog0380__set-multiset.htm
|
|
# http://code.activestate.com/recipes/259174/
|
|
# Knuth, TAOCP Vol. II section 4.6.3
|
|
|
|
def __init__(*args, **kwds):
|
|
'''Create a new, empty Counter object. And if given, count elements
|
|
from an input iterable. Or, initialize the count from another mapping
|
|
of elements to their counts.
|
|
|
|
>>> c = Counter() # a new, empty counter
|
|
>>> c = Counter('gallahad') # a new counter from an iterable
|
|
>>> c = Counter({'a': 4, 'b': 2}) # a new counter from a mapping
|
|
>>> c = Counter(a=4, b=2) # a new counter from keyword args
|
|
|
|
'''
|
|
if not args:
|
|
raise TypeError("descriptor '__init__' of 'Counter' object "
|
|
"needs an argument")
|
|
self = args[0]
|
|
args = args[1:]
|
|
if len(args) > 1:
|
|
raise TypeError('expected at most 1 arguments, got %d' % len(args))
|
|
super(Counter, self).__init__()
|
|
self.update(*args, **kwds)
|
|
|
|
def __missing__(self, key):
|
|
'The count of elements not in the Counter is zero.'
|
|
# Needed so that self[missing_item] does not raise KeyError
|
|
return 0
|
|
|
|
def most_common(self, n=None):
|
|
'''List the n most common elements and their counts from the most
|
|
common to the least. If n is None, then list all element counts.
|
|
|
|
>>> Counter('abcdeabcdabcaba').most_common(3)
|
|
[('a', 5), ('b', 4), ('c', 3)]
|
|
|
|
'''
|
|
# Emulate Bag.sortedByCount from Smalltalk
|
|
if n is None:
|
|
return sorted(self.items(), key=_itemgetter(1), reverse=True)
|
|
return _heapq.nlargest(n, self.items(), key=_itemgetter(1))
|
|
|
|
def elements(self):
|
|
'''Iterator over elements repeating each as many times as its count.
|
|
|
|
>>> c = Counter('ABCABC')
|
|
>>> sorted(c.elements())
|
|
['A', 'A', 'B', 'B', 'C', 'C']
|
|
|
|
# Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1
|
|
>>> prime_factors = Counter({2: 2, 3: 3, 17: 1})
|
|
>>> product = 1
|
|
>>> for factor in prime_factors.elements(): # loop over factors
|
|
... product *= factor # and multiply them
|
|
>>> product
|
|
1836
|
|
|
|
Note, if an element's count has been set to zero or is a negative
|
|
number, elements() will ignore it.
|
|
|
|
'''
|
|
# Emulate Bag.do from Smalltalk and Multiset.begin from C++.
|
|
return _chain.from_iterable(_starmap(_repeat, self.items()))
|
|
|
|
# Override dict methods where necessary
|
|
|
|
@classmethod
|
|
def fromkeys(cls, iterable, v=None):
|
|
# There is no equivalent method for counters because setting v=1
|
|
# means that no element can have a count greater than one.
|
|
raise NotImplementedError(
|
|
'Counter.fromkeys() is undefined. Use Counter(iterable) instead.')
|
|
|
|
def update(*args, **kwds):
|
|
'''Like dict.update() but add counts instead of replacing them.
|
|
|
|
Source can be an iterable, a dictionary, or another Counter instance.
|
|
|
|
>>> c = Counter('which')
|
|
>>> c.update('witch') # add elements from another iterable
|
|
>>> d = Counter('watch')
|
|
>>> c.update(d) # add elements from another counter
|
|
>>> c['h'] # four 'h' in which, witch, and watch
|
|
4
|
|
|
|
'''
|
|
# The regular dict.update() operation makes no sense here because the
|
|
# replace behavior results in the some of original untouched counts
|
|
# being mixed-in with all of the other counts for a mismash that
|
|
# doesn't have a straight-forward interpretation in most counting
|
|
# contexts. Instead, we implement straight-addition. Both the inputs
|
|
# and outputs are allowed to contain zero and negative counts.
|
|
|
|
if not args:
|
|
raise TypeError("descriptor 'update' of 'Counter' object "
|
|
"needs an argument")
|
|
self = args[0]
|
|
args = args[1:]
|
|
if len(args) > 1:
|
|
raise TypeError('expected at most 1 arguments, got %d' % len(args))
|
|
iterable = args[0] if args else None
|
|
if iterable is not None:
|
|
if isinstance(iterable, Mapping):
|
|
if self:
|
|
self_get = self.get
|
|
for elem, count in iterable.items():
|
|
self[elem] = count + self_get(elem, 0)
|
|
else:
|
|
super(Counter, self).update(iterable) # fast path when counter is empty
|
|
else:
|
|
_count_elements(self, iterable)
|
|
if kwds:
|
|
self.update(kwds)
|
|
|
|
def subtract(*args, **kwds):
|
|
'''Like dict.update() but subtracts counts instead of replacing them.
|
|
Counts can be reduced below zero. Both the inputs and outputs are
|
|
allowed to contain zero and negative counts.
|
|
|
|
Source can be an iterable, a dictionary, or another Counter instance.
|
|
|
|
>>> c = Counter('which')
|
|
>>> c.subtract('witch') # subtract elements from another iterable
|
|
>>> c.subtract(Counter('watch')) # subtract elements from another counter
|
|
>>> c['h'] # 2 in which, minus 1 in witch, minus 1 in watch
|
|
0
|
|
>>> c['w'] # 1 in which, minus 1 in witch, minus 1 in watch
|
|
-1
|
|
|
|
'''
|
|
if not args:
|
|
raise TypeError("descriptor 'subtract' of 'Counter' object "
|
|
"needs an argument")
|
|
self = args[0]
|
|
args = args[1:]
|
|
if len(args) > 1:
|
|
raise TypeError('expected at most 1 arguments, got %d' % len(args))
|
|
iterable = args[0] if args else None
|
|
if iterable is not None:
|
|
self_get = self.get
|
|
if isinstance(iterable, Mapping):
|
|
for elem, count in iterable.items():
|
|
self[elem] = self_get(elem, 0) - count
|
|
else:
|
|
for elem in iterable:
|
|
self[elem] = self_get(elem, 0) - 1
|
|
if kwds:
|
|
self.subtract(kwds)
|
|
|
|
def copy(self):
|
|
'Return a shallow copy.'
|
|
return self.__class__(self)
|
|
|
|
def __reduce__(self):
|
|
return self.__class__, (dict(self),)
|
|
|
|
def __delitem__(self, elem):
|
|
'Like dict.__delitem__() but does not raise KeyError for missing values.'
|
|
if elem in self:
|
|
super(Counter, self).__delitem__(elem)
|
|
|
|
def __repr__(self):
|
|
if not self:
|
|
return '%s()' % self.__class__.__name__
|
|
try:
|
|
items = ', '.join(map('%r: %r'.__mod__, self.most_common()))
|
|
return '%s({%s})' % (self.__class__.__name__, items)
|
|
except TypeError:
|
|
# handle case where values are not orderable
|
|
return '{0}({1!r})'.format(self.__class__.__name__, dict(self))
|
|
|
|
# Multiset-style mathematical operations discussed in:
|
|
# Knuth TAOCP Volume II section 4.6.3 exercise 19
|
|
# and at http://en.wikipedia.org/wiki/Multiset
|
|
#
|
|
# Outputs guaranteed to only include positive counts.
|
|
#
|
|
# To strip negative and zero counts, add-in an empty counter:
|
|
# c += Counter()
|
|
|
|
def __add__(self, other):
|
|
'''Add counts from two counters.
|
|
|
|
>>> Counter('abbb') + Counter('bcc')
|
|
Counter({'b': 4, 'c': 2, 'a': 1})
|
|
|
|
'''
|
|
if not isinstance(other, Counter):
|
|
return NotImplemented
|
|
result = Counter()
|
|
for elem, count in self.items():
|
|
newcount = count + other[elem]
|
|
if newcount > 0:
|
|
result[elem] = newcount
|
|
for elem, count in other.items():
|
|
if elem not in self and count > 0:
|
|
result[elem] = count
|
|
return result
|
|
|
|
def __sub__(self, other):
|
|
''' Subtract count, but keep only results with positive counts.
|
|
|
|
>>> Counter('abbbc') - Counter('bccd')
|
|
Counter({'b': 2, 'a': 1})
|
|
|
|
'''
|
|
if not isinstance(other, Counter):
|
|
return NotImplemented
|
|
result = Counter()
|
|
for elem, count in self.items():
|
|
newcount = count - other[elem]
|
|
if newcount > 0:
|
|
result[elem] = newcount
|
|
for elem, count in other.items():
|
|
if elem not in self and count < 0:
|
|
result[elem] = 0 - count
|
|
return result
|
|
|
|
def __or__(self, other):
|
|
'''Union is the maximum of value in either of the input counters.
|
|
|
|
>>> Counter('abbb') | Counter('bcc')
|
|
Counter({'b': 3, 'c': 2, 'a': 1})
|
|
|
|
'''
|
|
if not isinstance(other, Counter):
|
|
return NotImplemented
|
|
result = Counter()
|
|
for elem, count in self.items():
|
|
other_count = other[elem]
|
|
newcount = other_count if count < other_count else count
|
|
if newcount > 0:
|
|
result[elem] = newcount
|
|
for elem, count in other.items():
|
|
if elem not in self and count > 0:
|
|
result[elem] = count
|
|
return result
|
|
|
|
def __and__(self, other):
|
|
''' Intersection is the minimum of corresponding counts.
|
|
|
|
>>> Counter('abbb') & Counter('bcc')
|
|
Counter({'b': 1})
|
|
|
|
'''
|
|
if not isinstance(other, Counter):
|
|
return NotImplemented
|
|
result = Counter()
|
|
for elem, count in self.items():
|
|
other_count = other[elem]
|
|
newcount = count if count < other_count else other_count
|
|
if newcount > 0:
|
|
result[elem] = newcount
|
|
return result
|
|
|
|
def __pos__(self):
|
|
'Adds an empty counter, effectively stripping negative and zero counts'
|
|
return self + Counter()
|
|
|
|
def __neg__(self):
|
|
'''Subtracts from an empty counter. Strips positive and zero counts,
|
|
and flips the sign on negative counts.
|
|
|
|
'''
|
|
return Counter() - self
|
|
|
|
def _keep_positive(self):
|
|
'''Internal method to strip elements with a negative or zero count'''
|
|
nonpositive = [elem for elem, count in self.items() if not count > 0]
|
|
for elem in nonpositive:
|
|
del self[elem]
|
|
return self
|
|
|
|
def __iadd__(self, other):
|
|
'''Inplace add from another counter, keeping only positive counts.
|
|
|
|
>>> c = Counter('abbb')
|
|
>>> c += Counter('bcc')
|
|
>>> c
|
|
Counter({'b': 4, 'c': 2, 'a': 1})
|
|
|
|
'''
|
|
for elem, count in other.items():
|
|
self[elem] += count
|
|
return self._keep_positive()
|
|
|
|
def __isub__(self, other):
|
|
'''Inplace subtract counter, but keep only results with positive counts.
|
|
|
|
>>> c = Counter('abbbc')
|
|
>>> c -= Counter('bccd')
|
|
>>> c
|
|
Counter({'b': 2, 'a': 1})
|
|
|
|
'''
|
|
for elem, count in other.items():
|
|
self[elem] -= count
|
|
return self._keep_positive()
|
|
|
|
def __ior__(self, other):
|
|
'''Inplace union is the maximum of value from either counter.
|
|
|
|
>>> c = Counter('abbb')
|
|
>>> c |= Counter('bcc')
|
|
>>> c
|
|
Counter({'b': 3, 'c': 2, 'a': 1})
|
|
|
|
'''
|
|
for elem, other_count in other.items():
|
|
count = self[elem]
|
|
if other_count > count:
|
|
self[elem] = other_count
|
|
return self._keep_positive()
|
|
|
|
def __iand__(self, other):
|
|
'''Inplace intersection is the minimum of corresponding counts.
|
|
|
|
>>> c = Counter('abbb')
|
|
>>> c &= Counter('bcc')
|
|
>>> c
|
|
Counter({'b': 1})
|
|
|
|
'''
|
|
for elem, count in self.items():
|
|
other_count = other[elem]
|
|
if other_count < count:
|
|
self[elem] = other_count
|
|
return self._keep_positive()
|
|
|
|
|
|
def check_output(*popenargs, **kwargs):
|
|
"""
|
|
For Python 2.6 compatibility: see
|
|
http://stackoverflow.com/questions/4814970/
|
|
"""
|
|
|
|
if 'stdout' in kwargs:
|
|
raise ValueError('stdout argument not allowed, it will be overridden.')
|
|
process = subprocess.Popen(stdout=subprocess.PIPE, *popenargs, **kwargs)
|
|
output, unused_err = process.communicate()
|
|
retcode = process.poll()
|
|
if retcode:
|
|
cmd = kwargs.get("args")
|
|
if cmd is None:
|
|
cmd = popenargs[0]
|
|
raise subprocess.CalledProcessError(retcode, cmd)
|
|
return output
|
|
|
|
|
|
def count(start=0, step=1):
|
|
"""
|
|
``itertools.count`` in Py 2.6 doesn't accept a step
|
|
parameter. This is an enhanced version of ``itertools.count``
|
|
for Py2.6 equivalent to ``itertools.count`` in Python 2.7+.
|
|
"""
|
|
while True:
|
|
yield start
|
|
start += step
|
|
|
|
|
|
########################################################################
|
|
### ChainMap (helper for configparser and string.Template)
|
|
### From the Py3.4 source code. See also:
|
|
### https://github.com/kkxue/Py2ChainMap/blob/master/py2chainmap.py
|
|
########################################################################
|
|
|
|
class ChainMap(MutableMapping):
|
|
''' A ChainMap groups multiple dicts (or other mappings) together
|
|
to create a single, updateable view.
|
|
|
|
The underlying mappings are stored in a list. That list is public and can
|
|
accessed or updated using the *maps* attribute. There is no other state.
|
|
|
|
Lookups search the underlying mappings successively until a key is found.
|
|
In contrast, writes, updates, and deletions only operate on the first
|
|
mapping.
|
|
|
|
'''
|
|
|
|
def __init__(self, *maps):
|
|
'''Initialize a ChainMap by setting *maps* to the given mappings.
|
|
If no mappings are provided, a single empty dictionary is used.
|
|
|
|
'''
|
|
self.maps = list(maps) or [{}] # always at least one map
|
|
|
|
def __missing__(self, key):
|
|
raise KeyError(key)
|
|
|
|
def __getitem__(self, key):
|
|
for mapping in self.maps:
|
|
try:
|
|
return mapping[key] # can't use 'key in mapping' with defaultdict
|
|
except KeyError:
|
|
pass
|
|
return self.__missing__(key) # support subclasses that define __missing__
|
|
|
|
def get(self, key, default=None):
|
|
return self[key] if key in self else default
|
|
|
|
def __len__(self):
|
|
return len(set().union(*self.maps)) # reuses stored hash values if possible
|
|
|
|
def __iter__(self):
|
|
return iter(set().union(*self.maps))
|
|
|
|
def __contains__(self, key):
|
|
return any(key in m for m in self.maps)
|
|
|
|
def __bool__(self):
|
|
return any(self.maps)
|
|
|
|
# Py2 compatibility:
|
|
__nonzero__ = __bool__
|
|
|
|
@recursive_repr()
|
|
def __repr__(self):
|
|
return '{0.__class__.__name__}({1})'.format(
|
|
self, ', '.join(map(repr, self.maps)))
|
|
|
|
@classmethod
|
|
def fromkeys(cls, iterable, *args):
|
|
'Create a ChainMap with a single dict created from the iterable.'
|
|
return cls(dict.fromkeys(iterable, *args))
|
|
|
|
def copy(self):
|
|
'New ChainMap or subclass with a new copy of maps[0] and refs to maps[1:]'
|
|
return self.__class__(self.maps[0].copy(), *self.maps[1:])
|
|
|
|
__copy__ = copy
|
|
|
|
def new_child(self, m=None): # like Django's Context.push()
|
|
'''
|
|
New ChainMap with a new map followed by all previous maps. If no
|
|
map is provided, an empty dict is used.
|
|
'''
|
|
if m is None:
|
|
m = {}
|
|
return self.__class__(m, *self.maps)
|
|
|
|
@property
|
|
def parents(self): # like Django's Context.pop()
|
|
'New ChainMap from maps[1:].'
|
|
return self.__class__(*self.maps[1:])
|
|
|
|
def __setitem__(self, key, value):
|
|
self.maps[0][key] = value
|
|
|
|
def __delitem__(self, key):
|
|
try:
|
|
del self.maps[0][key]
|
|
except KeyError:
|
|
raise KeyError('Key not found in the first mapping: {0!r}'.format(key))
|
|
|
|
def popitem(self):
|
|
'Remove and return an item pair from maps[0]. Raise KeyError is maps[0] is empty.'
|
|
try:
|
|
return self.maps[0].popitem()
|
|
except KeyError:
|
|
raise KeyError('No keys found in the first mapping.')
|
|
|
|
def pop(self, key, *args):
|
|
'Remove *key* from maps[0] and return its value. Raise KeyError if *key* not in maps[0].'
|
|
try:
|
|
return self.maps[0].pop(key, *args)
|
|
except KeyError:
|
|
raise KeyError('Key not found in the first mapping: {0!r}'.format(key))
|
|
|
|
def clear(self):
|
|
'Clear maps[0], leaving maps[1:] intact.'
|
|
self.maps[0].clear()
|
|
|
|
|
|
# Re-use the same sentinel as in the Python stdlib socket module:
|
|
from socket import _GLOBAL_DEFAULT_TIMEOUT
|
|
# Was: _GLOBAL_DEFAULT_TIMEOUT = object()
|
|
|
|
|
|
def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT,
|
|
source_address=None):
|
|
"""Backport of 3-argument create_connection() for Py2.6.
|
|
|
|
Connect to *address* and return the socket object.
|
|
|
|
Convenience function. Connect to *address* (a 2-tuple ``(host,
|
|
port)``) and return the socket object. Passing the optional
|
|
*timeout* parameter will set the timeout on the socket instance
|
|
before attempting to connect. If no *timeout* is supplied, the
|
|
global default timeout setting returned by :func:`getdefaulttimeout`
|
|
is used. If *source_address* is set it must be a tuple of (host, port)
|
|
for the socket to bind as a source address before making the connection.
|
|
An host of '' or port 0 tells the OS to use the default.
|
|
"""
|
|
|
|
host, port = address
|
|
err = None
|
|
for res in getaddrinfo(host, port, 0, SOCK_STREAM):
|
|
af, socktype, proto, canonname, sa = res
|
|
sock = None
|
|
try:
|
|
sock = socket(af, socktype, proto)
|
|
if timeout is not _GLOBAL_DEFAULT_TIMEOUT:
|
|
sock.settimeout(timeout)
|
|
if source_address:
|
|
sock.bind(source_address)
|
|
sock.connect(sa)
|
|
return sock
|
|
|
|
except error as _:
|
|
err = _
|
|
if sock is not None:
|
|
sock.close()
|
|
|
|
if err is not None:
|
|
raise err
|
|
else:
|
|
raise error("getaddrinfo returns an empty list")
|
|
|
|
# Backport from Py2.7 for Py2.6:
|
|
def cmp_to_key(mycmp):
|
|
"""Convert a cmp= function into a key= function"""
|
|
class K(object):
|
|
__slots__ = ['obj']
|
|
def __init__(self, obj, *args):
|
|
self.obj = obj
|
|
def __lt__(self, other):
|
|
return mycmp(self.obj, other.obj) < 0
|
|
def __gt__(self, other):
|
|
return mycmp(self.obj, other.obj) > 0
|
|
def __eq__(self, other):
|
|
return mycmp(self.obj, other.obj) == 0
|
|
def __le__(self, other):
|
|
return mycmp(self.obj, other.obj) <= 0
|
|
def __ge__(self, other):
|
|
return mycmp(self.obj, other.obj) >= 0
|
|
def __ne__(self, other):
|
|
return mycmp(self.obj, other.obj) != 0
|
|
def __hash__(self):
|
|
raise TypeError('hash not implemented')
|
|
return K
|
|
|
|
# Back up our definitions above in case they're useful
|
|
_OrderedDict = OrderedDict
|
|
_Counter = Counter
|
|
_check_output = check_output
|
|
_count = count
|
|
_ceil = ceil
|
|
__count_elements = _count_elements
|
|
_recursive_repr = recursive_repr
|
|
_ChainMap = ChainMap
|
|
_create_connection = create_connection
|
|
_cmp_to_key = cmp_to_key
|
|
|
|
# Overwrite the definitions above with the usual ones
|
|
# from the standard library:
|
|
if sys.version_info >= (2, 7):
|
|
from collections import OrderedDict, Counter
|
|
from itertools import count
|
|
from functools import cmp_to_key
|
|
try:
|
|
from subprocess import check_output
|
|
except ImportError:
|
|
# Not available. This happens with Google App Engine: see issue #231
|
|
pass
|
|
from socket import create_connection
|
|
|
|
if sys.version_info >= (3, 0):
|
|
from math import ceil
|
|
from collections import _count_elements
|
|
|
|
if sys.version_info >= (3, 3):
|
|
from reprlib import recursive_repr
|
|
from collections import ChainMap
|