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7db40796
编写于
4月 21, 2020
作者:
W
WuHaobo
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差异文件
be compatible with Python3
上级
a5ada1e0
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1 changed file
with
15 addition
and
12 deletion
+15
-12
ppcls/modeling/utils.py
ppcls/modeling/utils.py
+15
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ppcls/modeling/utils.py
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7db40796
#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
Licensed under the Apache License, Version 2.0 (the "License");
#
you may not use this file except in compliance with the License.
#
You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
#
Unless required by applicable law or agreed to in writing, software
#
distributed under the License is distributed on an "AS IS" BASIS,
#
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#
See the License for the specific language governing permissions and
#
limitations under the License.
import
six
import
types
from
difflib
import
SequenceMatcher
...
...
@@ -24,7 +25,7 @@ def get_architectures():
"""
names
=
[]
for
k
,
v
in
architectures
.
__dict__
.
items
():
if
isinstance
(
v
,
(
types
.
FunctionType
,
types
.
ClassType
)):
if
isinstance
(
v
,
(
types
.
FunctionType
,
six
.
class_types
)):
names
.
append
(
k
)
return
names
...
...
@@ -35,9 +36,11 @@ def similar_architectures(name='', names=[], thresh=0.1, topk=10):
"""
scores
=
[]
for
idx
,
n
in
enumerate
(
names
):
if
n
[:
2
]
==
'__'
:
continue
if
n
.
startswith
(
'__'
):
continue
score
=
SequenceMatcher
(
None
,
n
.
lower
(),
name
.
lower
()).
quick_ratio
()
if
score
>
thresh
:
scores
.
append
((
idx
,
score
))
if
score
>
thresh
:
scores
.
append
((
idx
,
score
))
scores
.
sort
(
key
=
lambda
x
:
x
[
1
],
reverse
=
True
)
similar_names
=
[
names
[
s
[
0
]]
for
s
in
scores
[:
min
(
topk
,
len
(
scores
))]]
return
similar_names
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