def test_init():
sdict = SortedDict()
sdict._check()
sdict = SortedDict(load=17)
sdict._check()
sdict = SortedDict((val, -val) for val in range(10000))
sdict._check()
assert all(key == -val for key, val in sdict.iteritems())
sdict.clear()
sdict._check()
assert len(sdict) == 0
sdict = SortedDict.fromkeys(range(1000), None)
assert all(sdict[key] == None for key in range(1000))
def test_init():
sdict = SortedDict()
sdict._check()
sdict = SortedDict(load=17)
sdict._check()
sdict = SortedDict((val, -val) for val in range(10000))
sdict._check()
assert all(key == -val for key, val in sdict.iteritems())
sdict.clear()
sdict._check()
assert len(sdict) == 0
sdict = SortedDict.fromkeys(range(1000), None)
assert all(sdict[key] == None for key in range(1000))
]
df3['rebal_cnt_8'] = [
data['fromCNT'] if data is not None else 0 for data in df2[8]
]
df3['rebal_cnt_9'] = [
data['fromCNT'] if data is not None else 0 for data in df2[9]
]
k_means_1 = cluster.KMeans(n_clusters=4, init='k-means++', random_state=5000)
data = df3[[
'from_cnt_7', 'from_cnt_8', 'from_cnt_9', 'rebal_cnt_7', 'rebal_cnt_8',
'rebal_cnt_9'
]]
k_means_1.fit(data)
cluster1 = Counter(k_means_1.labels_)
cluster1_sorted = SortedDict()
cluster1_sorted = cluster1_sorted.fromkeys(cluster1.keys(), cluster1.values)
# Kmean 2
k_means_2 = cluster.KMeans(n_clusters=5, init='k-means++', random_state=5000)
k_means_2.fit(data)
cluster2 = Counter(k_means_2.labels_)
# Kmean 3
k_means_3 = cluster.KMeans(n_clusters=6, init='k-means++', random_state=5000)
k_means_3.fit(data)
cluster3 = Counter(k_means_3.labels_)
# DBscan 1
DBscan_1 = cluster.DBSCAN(eps=20, min_samples=2).fit(data)
cluster4 = Counter(DBscan_1.labels_)
cluster4.pop(-1)
# DBscan 2
DBscan_2 = cluster.DBSCAN(eps=15, min_samples=3).fit(data)
def test_fromkeys():
mapping = [(val, pos) for pos, val in enumerate(string.ascii_lowercase)]
temp = SortedDict.fromkeys(mapping, 1)
assert all(temp[key] == 1 for key in temp)
def test_fromkeys():
mapping = [(val, pos) for pos, val in enumerate(string.ascii_lowercase)]
temp = SortedDict.fromkeys(mapping, 1)
assert all(temp[key] == 1 for key in temp)
def fromkeys(cls, seq, value=None):
d = DotMap()
d._map = SortedDict.fromkeys(seq, value)
return d
