def cmp_fun(): a, b = 5, 3 print (operator.lt(a,b)) #True Same as a<b. print (operator.le(a, b)) # False print (operator.eq(a,b)) # False print (operator.ne(a,b)) #TRUE print(operator.ge(a,b)) #False Same as a>=b print (operator.gt(a, b)) # True print (operator.__lt__(a, b)) #TRUE print (operator.__le__(a, b)) #TRUE print (operator.__ne__(a, b)) #TRUE Same as a<b. print (operator.__ge__(a, b)) #FALSE print (operator.__gt__(a, b)) #FALSE print (operator.__eq__(a, b))
def __compacted(self): clusters = [] for cluster in self.clusters: # Todo Cluster unable to get repair for `list` compact_cluster = [] cluster_size = len(cluster) for _ in range(cluster_size): # pandas.DataFrame.duplicated([cluster[i]], keep=False) cluster[_].duplicated = False for _ in range(cluster_size): if cluster[_].duplicated: continue for j in range(1 + _, cluster_size): if cluster[j].duplicated: continue sentences_degree = self.uniform_similarity( cluster[_], cluster[j]) if operator.__gt__(sentences_degree, 0.85): # Threshold A > B # pandas.DataFrame.duplicated([cluster[i]], keep=False) cluster[j].duplicated = True compact_cluster.append(cluster[_]) clusters.append(compact_cluster) self.clusters = clusters self.__clustered()
def specialcases(x): operator.lt(x,3) operator.le(x,3) operator.eq(x,3) operator.ne(x,3) operator.gt(x,3) operator.ge(x,3) is_operator(x,3) operator.__lt__(x,3) operator.__le__(x,3) operator.__eq__(x,3) operator.__ne__(x,3) operator.__gt__(x,3) operator.__ge__(x,3) # the following ones are constant-folded operator.eq(2,3) operator.__gt__(2,3)
def specialcases(x): operator.lt(x, 3) operator.le(x, 3) operator.eq(x, 3) operator.ne(x, 3) operator.gt(x, 3) operator.ge(x, 3) is_operator(x, 3) operator.__lt__(x, 3) operator.__le__(x, 3) operator.__eq__(x, 3) operator.__ne__(x, 3) operator.__gt__(x, 3) operator.__ge__(x, 3) operator.xor(x, 3) # the following ones are constant-folded operator.eq(2, 3) operator.__gt__(2, 3)
def operations_to_functions(operation, a, b): if operation == ">=": return operator.__ge__(a, b) if operation == "<=": return operator.__le__(a, b) if operation == "=": return operator.__eq__(a, b) if operation == ">": return operator.__gt__(a, b) if operation == "<": return operator.__lt__(a, b)
def __gt__(self, value): return operator.__gt__(self._tensor, value)
@Software: PyCharm @File : operator_learn.py ''' import operator a = 6 b = 7 operator.lt(a, b) #less than小于 operator.le(a, b) #lessthan or equal to小于等于 operator.eq(a, b) #equal to等于 operator.ne(a, b) #not equalto不等于 operator.ge(a, b) #greaterand equal to大于等于 operator.gt(a, b) #greater大于 operator.__le__(a, b) operator.__lt__(a, b) operator.__eq__(a, b) operator.__ne__(a, b) print(operator.__ge__(a, b)) operator.__gt__(a, b)
def __gt__(self, other): """self > other""" return __gt__(get_wrapped_object(self), get_wrapped_object(other))
def update_event(self, inp=-1): self.set_output_val(0, operator.__gt__(self.input(0), self.input(1)))
doc=operator.floordiv.__doc__) # reversed ge = spice(lambda x, y: operator.ge(y, x), name='ge') __ge__ = spice(lambda x, y: operator.__ge__(y, x), name='__ge__') getitem = spice(lambda x, y: operator.getitem(x, y), name='getitem', doc=operator.getitem.__doc__) __getitem__ = spice(lambda x, y: operator.__getitem__(x, y), name='__getitem__', doc=operator.getitem.__doc__) # reversed gt = spice(lambda x, y: operator.gt(y, x), name='gt') __gt__ = spice(lambda x, y: operator.__gt__(y, x)) indexOf = spice(lambda x, y: operator.indexOf(x, y), name='indexOf', doc=operator.indexOf.__doc__) is_ = spice(lambda x, y: operator.is_(x, y), name='is_', doc=operator.is_.__doc__) is_not = spice(lambda x, y: operator.is_not(x, y), name='is_not', doc=operator.is_not.__doc__) # reversed le = spice(lambda x, y: operator.le(y, x), name='le') __le__ = spice(lambda x, y: operator.__le__(y, x), name='__le__')