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__')
