def __init__(self, _dict=None, **kwargs):
if _dict is None:
self.__init__(kwargs)
else:
if not all(isinstance(x, Rational) for x in _dict.values()):
raise TypeError("powers of dimensions must be rational")
Counter.__init__(self, _dict)
self.clean()
def __init__(self, n, *args, **kwargs):
assert n>=1
self._size = n
self._worst = None
Counter.__init__(self, *args, **kwargs)
if len(self)>=n:
self._worst = self.most_common(n)[-1]
for k,v in self.most_common()[n:]:
del self[k]
def __init__(self, n, *args, **kwargs):
assert n >= 1
self._size = n
self._worst = None
Counter.__init__(self, *args, **kwargs)
if len(self) >= n:
self._worst = self.most_common(n)[-1]
for k, v in self.most_common()[n:]:
del self[k]
def __init__(self, max_len, N_max=5):
'''
@summary: NGramSet Constructor
@param max_len: 最优序列长度
@param N_max: CCS2012 对应最大n-gram
'''
Counter.__init__(self)
self.N_max = N_max
self.max_len = max_len
self.alphabet_size = 0 # 记录项总数
self.all_record_num = 0 # 记录数据集中记录总数
self.TERM = 0 # 序列结束符
def __init__(self, max_len, N_max = 5):
'''
@summary: NGramSet Constructor
@param max_len: 最优序列长度
@param N_max: CCS2012 对应最大n-gram
'''
Counter.__init__(self)
self.N_max = N_max
self.max_len = max_len
self.alphabet_size = 0 # 记录项总数
self.all_record_num = 0 # 记录数据集中记录总数
self.TERM = 0 # 序列结束符
def __init__(self, samples=None):
"""
Construct a new frequency distribution. If ``samples`` is
given, then the frequency distribution will be initialized
with the count of each object in ``samples``; otherwise, it
will be initialized to be empty.
In particular, ``FreqDist()`` returns an empty frequency
distribution; and ``FreqDist(samples)`` first creates an empty
frequency distribution, and then calls ``update`` with the
list ``samples``.
:param samples: The samples to initialize the frequency
distribution with.
:type samples: Sequence
"""
Counter.__init__(self, samples)
# Cached number of samples in this FreqDist
self._N = None
def __init__(self, unknown_cutoff, *counter_args):
Counter.__init__(self, *counter_args)
self.cutoff = unknown_cutoff
def __init__(self, *args, **kw):
Counter.__init__(self, *args, **kw)
self.__changed = set()
def __init__(self, *args, **kwargs):
defaultdict.__init__(self, int)
Counter.__init__(self, *args, **kwargs)
for k, v in list(self.items()):
if not v:
del self[k]
def __init__(self, *args, **kwargs):
AttrDict.__init__(self, *args, **kwargs)
Counter.__init__(self)
self.__exclude_keys__ |= {'most_common'}
def __init__(self, *args, **kwargs):
""" A dictionary with sorted float values (by default, 0.0).
"""
Counter.__init__(self, dict(*args, **kwargs))
def __init__(self, word_list = []):
self.word_list = word_list
Counter.__init__(self, word_list)
def __init__(self, unknown_cutoff, *counter_args):
if isinstance(unknown_cutoff, dict):
Counter.__init__(self, unknown_cutoff, *counter_args)
else:
Counter.__init__(self, *counter_args)
self.cutoff = unknown_cutoff
def __init__(self, iterable):
self.__finishedinit = False
Counter.__init__(self, iterable)
self.__finishedinit = True
def __init__(self, *args, **kwargs):
Counter.__init__(self, *args, **kwargs)
def __init__(self, dic):
self._len = -1
Counter.__init__(self, dic)
def __init__(self, factors={}):
Counter.__init__(self, factors)
def __init__(self, *args, **kwargs):
""" A dictionary with sorted float values (by default, 0.0).
"""
Counter.__init__(self, dict(*args, **kwargs))
def __init__(self, word):
Counter.__init__(self, word)
self.word = word
def __init__(self, samples=None):
Counter.__init__(self, samples)
def __init__(self, *args, **kwargs):
Counter.__init__(self, *args, **kwargs)
def __init__(self, sampleData=None): #Has sampleData being the
Counter.__init__(self, sampleData) # Uses Counter class's instantiation
def __init__(self, word_list=[]):
self.word_list = word_list
Counter.__init__(self, word_list)
