hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4e254062faafd9e73a7eb446de4239d7bc35620e
| 28
|
py
|
Python
|
tests/syntax/assignment_expression_cannot_rebind.py
|
hoefling/friendly-traceback
|
26acac903521c5f0e5cf837d32bda750918d4afb
|
[
"MIT"
] | 45
|
2021-07-06T03:30:20.000Z
|
2022-03-16T17:30:58.000Z
|
tests/syntax/assignment_expression_cannot_rebind.py
|
hoefling/friendly-traceback
|
26acac903521c5f0e5cf837d32bda750918d4afb
|
[
"MIT"
] | 110
|
2021-06-28T11:48:46.000Z
|
2022-03-25T20:41:25.000Z
|
tests/syntax/assignment_expression_cannot_rebind.py
|
hoefling/friendly-traceback
|
26acac903521c5f0e5cf837d32bda750918d4afb
|
[
"MIT"
] | 4
|
2021-07-05T20:56:39.000Z
|
2021-11-11T20:24:34.000Z
|
a = [(i := 1) for i in [1]]
| 14
| 27
| 0.357143
| 7
| 28
| 1.428571
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0.321429
| 28
| 1
| 28
| 28
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9d6fa19f3c9261d9ba1f87873131d095af6ed056
| 354
|
py
|
Python
|
ticktick/managers/focus.py
|
broskees/ticktick-py
|
ef102d9019ef7cce41cc265d78c18071df9033ec
|
[
"MIT"
] | 86
|
2021-01-19T13:54:28.000Z
|
2022-03-28T02:19:10.000Z
|
ticktick/managers/focus.py
|
langjihao/ticktick-py
|
ef102d9019ef7cce41cc265d78c18071df9033ec
|
[
"MIT"
] | 22
|
2021-01-18T21:58:09.000Z
|
2022-03-22T20:55:02.000Z
|
ticktick/managers/focus.py
|
langjihao/ticktick-py
|
ef102d9019ef7cce41cc265d78c18071df9033ec
|
[
"MIT"
] | 16
|
2021-07-26T05:24:58.000Z
|
2022-03-26T05:25:06.000Z
|
class FocusTimeManager:
def __init__(self, client_class):
self._client = client_class
self.access_token = ''
# ---------------------------------------------------------------------------------------------------------------
# Focus Timer Methods
def start(self):
"""Starts the focus timer"""
pass
| 22.125
| 119
| 0.392655
| 25
| 354
| 5.24
| 0.6
| 0.152672
| 0.229008
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.231638
| 354
| 15
| 120
| 23.6
| 0.481618
| 0.449153
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.166667
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
9d820b244ea3becb90e3be010b03a48f6231065c
| 275
|
py
|
Python
|
tests/unit/test_headers.py
|
symonk/restpite
|
dbc39bea502f8c8c75004ad71933cc45c9c8b081
|
[
"MIT"
] | null | null | null |
tests/unit/test_headers.py
|
symonk/restpite
|
dbc39bea502f8c8c75004ad71933cc45c9c8b081
|
[
"MIT"
] | 131
|
2020-12-13T14:34:20.000Z
|
2022-03-28T15:18:24.000Z
|
tests/unit/test_headers.py
|
symonk/restpite
|
dbc39bea502f8c8c75004ad71933cc45c9c8b081
|
[
"MIT"
] | null | null | null |
from restpite import RestpiteClient
def test_custom_user_agent_client():
assert RestpiteClient(user_agent="foo").user_agent == "foo"
def test_default_user_agent_client(restpite_version):
assert RestpiteClient().user_agent == f"python-restpite/{restpite_version}"
| 27.5
| 79
| 0.8
| 35
| 275
| 5.914286
| 0.457143
| 0.217391
| 0.144928
| 0.280193
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101818
| 275
| 9
| 80
| 30.555556
| 0.838057
| 0
| 0
| 0
| 0
| 0
| 0.145455
| 0.123636
| 0
| 0
| 0
| 0
| 0.4
| 1
| 0.4
| false
| 0
| 0.2
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
9dc935ce9611745614119efd65d52e935db5b2ab
| 448
|
py
|
Python
|
authenticate/serializers.py
|
guptakvgaurav/sample_django
|
ea33522f2ceef2412829369272e6df518c4a3142
|
[
"MIT"
] | null | null | null |
authenticate/serializers.py
|
guptakvgaurav/sample_django
|
ea33522f2ceef2412829369272e6df518c4a3142
|
[
"MIT"
] | 4
|
2020-04-23T12:36:04.000Z
|
2021-06-10T22:46:53.000Z
|
authenticate/serializers.py
|
guptakvgaurav/sample_django
|
ea33522f2ceef2412829369272e6df518c4a3142
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
class SignupSerializer(serializers.Serializer):
password = serializers.CharField(required=True)
email = serializers.CharField(required=True)
first_name = serializers.CharField(required=True)
last_name = serializers.CharField(required=True)
class LoginSerializer(serializers.Serializer):
email = serializers.CharField(required=True)
password = serializers.CharField(required=True)
| 29.866667
| 53
| 0.792411
| 45
| 448
| 7.822222
| 0.377778
| 0.340909
| 0.477273
| 0.545455
| 0.642045
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122768
| 448
| 14
| 54
| 32
| 0.895674
| 0
| 0
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.222222
| 0.111111
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
9de7d53ceba4b46e2132f731e5ab4af884ec1694
| 116
|
py
|
Python
|
ComputerVision/CrossSections/src/qr_decode_test.py
|
DelinLi/Phenotyping
|
b4c13fbfcc363d06bc58c2483bd6aca979681cc3
|
[
"MIT"
] | null | null | null |
ComputerVision/CrossSections/src/qr_decode_test.py
|
DelinLi/Phenotyping
|
b4c13fbfcc363d06bc58c2483bd6aca979681cc3
|
[
"MIT"
] | null | null | null |
ComputerVision/CrossSections/src/qr_decode_test.py
|
DelinLi/Phenotyping
|
b4c13fbfcc363d06bc58c2483bd6aca979681cc3
|
[
"MIT"
] | null | null | null |
#fig="../figures/QR.jpg"
fig="../figures/qr_nosise.png"
import qrtools
qr=qrtools.QR()
qr.decode(fig)
print qr.data
| 16.571429
| 30
| 0.715517
| 20
| 116
| 4.1
| 0.55
| 0.243902
| 0.292683
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 116
| 6
| 31
| 19.333333
| 0.759259
| 0.198276
| 0
| 0
| 0
| 0
| 0.26087
| 0.26087
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.2
| null | null | 0.2
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
9def1f9f72f6fadcc606fc151dc3c4a06c5732e0
| 231
|
py
|
Python
|
ibis/tests/test_util.py
|
tswast/ibis
|
2f6d47e4c33cefd7ea1d679bb1d9253c2245993b
|
[
"Apache-2.0"
] | null | null | null |
ibis/tests/test_util.py
|
tswast/ibis
|
2f6d47e4c33cefd7ea1d679bb1d9253c2245993b
|
[
"Apache-2.0"
] | null | null | null |
ibis/tests/test_util.py
|
tswast/ibis
|
2f6d47e4c33cefd7ea1d679bb1d9253c2245993b
|
[
"Apache-2.0"
] | null | null | null |
from ibis.util import cache_readonly
@cache_readonly
def my_cached_function():
"""Ye old docstring"""
return 42
def test_cache_readonly_preserves_docstring():
assert my_cached_function.__doc__ == 'Ye old docstring'
| 19.25
| 59
| 0.761905
| 31
| 231
| 5.225806
| 0.612903
| 0.240741
| 0.197531
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010256
| 0.155844
| 231
| 11
| 60
| 21
| 0.820513
| 0.069264
| 0
| 0
| 0
| 0
| 0.076555
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.333333
| true
| 0
| 0.166667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
9df0724c86e9561359d50454e6594e308bac0a32
| 43
|
py
|
Python
|
pytest_containers/dockerx/__init__.py
|
iangkent/pytest-containers
|
ec204fcdbf79a1916aac40c3bfb65ed9d78cb7df
|
[
"Apache-2.0"
] | 1
|
2019-09-18T11:52:41.000Z
|
2019-09-18T11:52:41.000Z
|
pytest_containers/dockerx/__init__.py
|
iangkent/pytest-containers
|
ec204fcdbf79a1916aac40c3bfb65ed9d78cb7df
|
[
"Apache-2.0"
] | null | null | null |
pytest_containers/dockerx/__init__.py
|
iangkent/pytest-containers
|
ec204fcdbf79a1916aac40c3bfb65ed9d78cb7df
|
[
"Apache-2.0"
] | null | null | null |
from .client import DockerClient, from_env
| 21.5
| 42
| 0.837209
| 6
| 43
| 5.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116279
| 43
| 1
| 43
| 43
| 0.921053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
9df9147e4abaab1d3035e88cd6b45449195ed168
| 261
|
py
|
Python
|
few_shots_clf/triplet_classifier/utils/__init__.py
|
delmalih/few-shots-classification
|
8b06ff673882fd0d8b99cd705e5e5fab0ec93fb3
|
[
"MIT"
] | null | null | null |
few_shots_clf/triplet_classifier/utils/__init__.py
|
delmalih/few-shots-classification
|
8b06ff673882fd0d8b99cd705e5e5fab0ec93fb3
|
[
"MIT"
] | null | null | null |
few_shots_clf/triplet_classifier/utils/__init__.py
|
delmalih/few-shots-classification
|
8b06ff673882fd0d8b99cd705e5e5fab0ec93fb3
|
[
"MIT"
] | null | null | null |
from .augmenter import Augmenter
from .triplet_model import TripletModel
from .datagenerator import DataGenerator
from .triplet_loss import triplet_loss_metric
from .triplet_loss import triplet_loss_function
from .compute_fingerprint import compute_fingerprint
| 37.285714
| 52
| 0.885057
| 33
| 261
| 6.727273
| 0.363636
| 0.198198
| 0.135135
| 0.189189
| 0.288288
| 0.288288
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091954
| 261
| 6
| 53
| 43.5
| 0.936709
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.166667
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d17baece06ac8955c9bee298a7d1759817c39bf0
| 55
|
py
|
Python
|
models/__init__.py
|
kunato/visimportance-in-pytorch
|
4e0a0a5380103229615309ba23460b0a0a69c0eb
|
[
"MIT"
] | 18
|
2018-11-26T17:52:08.000Z
|
2022-03-21T10:32:04.000Z
|
models/__init__.py
|
kunato/visimportance-in-pytorch
|
4e0a0a5380103229615309ba23460b0a0a69c0eb
|
[
"MIT"
] | 5
|
2021-03-19T01:20:25.000Z
|
2022-03-11T23:49:51.000Z
|
models/__init__.py
|
kunato/visimportance-in-pytorch
|
4e0a0a5380103229615309ba23460b0a0a69c0eb
|
[
"MIT"
] | 8
|
2018-12-21T13:13:46.000Z
|
2021-11-24T02:54:51.000Z
|
from .fcn32s import FCN32s
from .fcn16s import FCN16s
| 13.75
| 26
| 0.8
| 8
| 55
| 5.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 0.163636
| 55
| 3
| 27
| 18.333333
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d17d5b3e62c9f7256e321000ad197d0e7f225f9d
| 217
|
py
|
Python
|
droidlet/interpreter/robot/__init__.py
|
ali-senguel/fairo
|
1ec5d8ecbdfc782de63a92aad9bf8534110ce762
|
[
"MIT"
] | 669
|
2020-11-21T01:20:20.000Z
|
2021-09-13T13:25:16.000Z
|
droidlet/interpreter/robot/__init__.py
|
ali-senguel/fairo
|
1ec5d8ecbdfc782de63a92aad9bf8534110ce762
|
[
"MIT"
] | 324
|
2020-12-07T18:20:34.000Z
|
2021-09-14T17:17:18.000Z
|
droidlet/interpreter/robot/__init__.py
|
ali-senguel/fairo
|
1ec5d8ecbdfc782de63a92aad9bf8534110ce762
|
[
"MIT"
] | 56
|
2021-01-04T19:57:40.000Z
|
2021-09-13T21:20:08.000Z
|
from .loco_interpreter import LocoInterpreter
from .get_memory_handler import LocoGetMemoryHandler
from .put_memory_handler import PutMemoryHandler
__all__ = [LocoGetMemoryHandler, PutMemoryHandler, LocoInterpreter]
| 36.166667
| 67
| 0.880184
| 21
| 217
| 8.666667
| 0.571429
| 0.142857
| 0.208791
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.082949
| 217
| 5
| 68
| 43.4
| 0.914573
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d17d64de2d2e6463238f91c130d70d8f85301c44
| 82
|
py
|
Python
|
redisu/ru101/uc01-faceted-search/test_env.py
|
fxrcode/ru101
|
7d46e4bebd0437256efc9d77f075ecd56268f354
|
[
"MIT"
] | null | null | null |
redisu/ru101/uc01-faceted-search/test_env.py
|
fxrcode/ru101
|
7d46e4bebd0437256efc9d77f075ecd56268f354
|
[
"MIT"
] | null | null | null |
redisu/ru101/uc01-faceted-search/test_env.py
|
fxrcode/ru101
|
7d46e4bebd0437256efc9d77f075ecd56268f354
|
[
"MIT"
] | null | null | null |
import os, pprint
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(os.environ['FOO'])
| 27.333333
| 35
| 0.756098
| 13
| 82
| 4.769231
| 0.692308
| 0.258065
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013158
| 0.073171
| 82
| 3
| 36
| 27.333333
| 0.802632
| 0
| 0
| 0
| 0
| 0
| 0.036145
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 1
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
d17f5bb5032283ee83115a5d4acfdea0f3cdae4a
| 61
|
py
|
Python
|
papka.py
|
NaiveSunset/repozit_2
|
cfedfcd2f1191e5409e7ab4b9c54b1477855cd7b
|
[
"Apache-2.0"
] | null | null | null |
papka.py
|
NaiveSunset/repozit_2
|
cfedfcd2f1191e5409e7ab4b9c54b1477855cd7b
|
[
"Apache-2.0"
] | null | null | null |
papka.py
|
NaiveSunset/repozit_2
|
cfedfcd2f1191e5409e7ab4b9c54b1477855cd7b
|
[
"Apache-2.0"
] | null | null | null |
print('human greetings!')
print('what were you doing here?')
| 20.333333
| 34
| 0.721311
| 9
| 61
| 4.888889
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114754
| 61
| 2
| 35
| 30.5
| 0.814815
| 0
| 0
| 0
| 0
| 0
| 0.672131
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
d1910b86c55d6bc877b80f2d6f6c1af068a4bb30
| 127
|
py
|
Python
|
leprikon/search_indexes/__init__.py
|
leprikon-cz/leprikon
|
b1bec36fb6bcf0220bffccca53b6f200f9e95910
|
[
"BSD-3-Clause"
] | 4
|
2018-10-29T17:46:09.000Z
|
2021-12-16T08:57:48.000Z
|
leprikon/search_indexes/__init__.py
|
leprikon-cz/leprikon
|
b1bec36fb6bcf0220bffccca53b6f200f9e95910
|
[
"BSD-3-Clause"
] | 68
|
2016-07-11T07:48:54.000Z
|
2022-03-18T01:32:06.000Z
|
leprikon/search_indexes/__init__.py
|
leprikon-cz/leprikon
|
b1bec36fb6bcf0220bffccca53b6f200f9e95910
|
[
"BSD-3-Clause"
] | 2
|
2016-07-12T20:39:53.000Z
|
2020-10-10T03:14:42.000Z
|
from .courses import CourseIndex # noqa
from .events import EventIndex # noqa
from .orderables import OrderableIndex # noqa
| 31.75
| 46
| 0.787402
| 15
| 127
| 6.666667
| 0.6
| 0.16
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165354
| 127
| 3
| 47
| 42.333333
| 0.943396
| 0.110236
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ae0d017918bdacde105443c5fbb479bdc4f29e72
| 49
|
py
|
Python
|
babysploit/wpseku/modules/discovery/plugins/__init__.py
|
kevinsegal/BabySploit
|
66bafc25e04e7512e8b87b161bd3b7201bb57b63
|
[
"MIT"
] | null | null | null |
babysploit/wpseku/modules/discovery/plugins/__init__.py
|
kevinsegal/BabySploit
|
66bafc25e04e7512e8b87b161bd3b7201bb57b63
|
[
"MIT"
] | null | null | null |
babysploit/wpseku/modules/discovery/plugins/__init__.py
|
kevinsegal/BabySploit
|
66bafc25e04e7512e8b87b161bd3b7201bb57b63
|
[
"MIT"
] | null | null | null |
"""Support for discovering Wordpress plugins."""
| 24.5
| 48
| 0.755102
| 5
| 49
| 7.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102041
| 49
| 1
| 49
| 49
| 0.840909
| 0.857143
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ae2aff5c804e56e500ad1e7657c73f856beb9a58
| 53
|
py
|
Python
|
env/lib/python3.6/site-packages/pip/_vendor/certifi/__main__.py
|
amogh-gulati/corona_dashboard
|
ce1a20ad56bdfb758d41513b4706fe3a47764c32
|
[
"MIT"
] | 9,953
|
2019-04-03T23:41:04.000Z
|
2022-03-31T11:54:44.000Z
|
env/lib/python3.6/site-packages/pip/_vendor/certifi/__main__.py
|
amogh-gulati/corona_dashboard
|
ce1a20ad56bdfb758d41513b4706fe3a47764c32
|
[
"MIT"
] | 242
|
2019-01-29T15:48:27.000Z
|
2022-03-31T22:09:21.000Z
|
env/lib/python3.6/site-packages/pip/_vendor/certifi/__main__.py
|
amogh-gulati/corona_dashboard
|
ce1a20ad56bdfb758d41513b4706fe3a47764c32
|
[
"MIT"
] | 2,803
|
2019-04-06T13:15:33.000Z
|
2022-03-31T07:42:01.000Z
|
from pip._vendor.certifi import where
print(where())
| 17.666667
| 37
| 0.792453
| 8
| 53
| 5.125
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09434
| 53
| 2
| 38
| 26.5
| 0.854167
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
ae772a182f22496d1fb90fea419b57702b2703e8
| 97
|
py
|
Python
|
openjij/sampler/chimera_gpu/__init__.py
|
zeta1999/OpenJij
|
0fe03f07af947f519a32ad58fe20423919651634
|
[
"Apache-2.0"
] | null | null | null |
openjij/sampler/chimera_gpu/__init__.py
|
zeta1999/OpenJij
|
0fe03f07af947f519a32ad58fe20423919651634
|
[
"Apache-2.0"
] | null | null | null |
openjij/sampler/chimera_gpu/__init__.py
|
zeta1999/OpenJij
|
0fe03f07af947f519a32ad58fe20423919651634
|
[
"Apache-2.0"
] | 1
|
2021-04-09T09:13:56.000Z
|
2021-04-09T09:13:56.000Z
|
from .gpu_sqa_sampler import GPUChimeraSQASampler
from .gpu_sa_sampler import GPUChimeraSASampler
| 48.5
| 49
| 0.907216
| 12
| 97
| 7
| 0.666667
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072165
| 97
| 2
| 50
| 48.5
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8817c7596d003bd322c5924ffeaffd2d6c781fc1
| 639
|
py
|
Python
|
cride/registros/models/ingresos.py
|
albertoaldanar/serecsinAPI
|
ca0f72d42b2e23d4a28cafccef9892055f922bfc
|
[
"MIT"
] | null | null | null |
cride/registros/models/ingresos.py
|
albertoaldanar/serecsinAPI
|
ca0f72d42b2e23d4a28cafccef9892055f922bfc
|
[
"MIT"
] | 8
|
2020-06-05T21:51:05.000Z
|
2022-01-13T01:25:00.000Z
|
cride/registros/models/ingresos.py
|
albertoaldanar/serecsinAPI
|
ca0f72d42b2e23d4a28cafccef9892055f922bfc
|
[
"MIT"
] | null | null | null |
#Django
from django.db import models
#Utilities
from cride.utils.models import SerecsinModel
class Ingreso(SerecsinModel):
cliente = models.CharField(max_length = 30, null= True, blank= True)
mes = models.PositiveIntegerField(default = 0)
año = models.PositiveIntegerField(default = 2019)
importe = models.PositiveIntegerField(default = 0)
adeudo_mes = models.PositiveIntegerField(default = 0)
importante = models.BooleanField(default = False)
adeudo_acumulado = models.PositiveIntegerField(default = 0)
lugar = models.CharField(max_length = 30, null= True, blank= True)
def __str__(self):
return self.cliente
| 30.428571
| 70
| 0.760563
| 74
| 639
| 6.459459
| 0.486486
| 0.271967
| 0.345188
| 0.284519
| 0.334728
| 0.179916
| 0.179916
| 0.179916
| 0.179916
| 0
| 0
| 0.021978
| 0.14554
| 639
| 20
| 71
| 31.95
| 0.85348
| 0.023474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.307692
| 0.076923
| 1.153846
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
883392e330412a41ee8a1b0823d4f056ec68c711
| 26
|
py
|
Python
|
pystyx/processor.py
|
styx-dev/pystyx
|
fe938d0f59235e3f317a26736c1a626e2d6e1c52
|
[
"MIT"
] | null | null | null |
pystyx/processor.py
|
styx-dev/pystyx
|
fe938d0f59235e3f317a26736c1a626e2d6e1c52
|
[
"MIT"
] | null | null | null |
pystyx/processor.py
|
styx-dev/pystyx
|
fe938d0f59235e3f317a26736c1a626e2d6e1c52
|
[
"MIT"
] | null | null | null |
class Processor:
pass
| 8.666667
| 16
| 0.692308
| 3
| 26
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.269231
| 26
| 2
| 17
| 13
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
884bdf347668feba12df5b48fd94a8470982f289
| 5,197
|
py
|
Python
|
epytope/Data/pssms/arb/mat/A_0101_10.py
|
christopher-mohr/epytope
|
8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd
|
[
"BSD-3-Clause"
] | 7
|
2021-02-01T18:11:28.000Z
|
2022-01-31T19:14:07.000Z
|
epytope/Data/pssms/arb/mat/A_0101_10.py
|
christopher-mohr/epytope
|
8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd
|
[
"BSD-3-Clause"
] | 22
|
2021-01-02T15:25:23.000Z
|
2022-03-14T11:32:53.000Z
|
epytope/Data/pssms/arb/mat/A_0101_10.py
|
christopher-mohr/epytope
|
8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd
|
[
"BSD-3-Clause"
] | 4
|
2021-05-28T08:50:38.000Z
|
2022-03-14T11:45:32.000Z
|
A_0101_10 = {0: {'A': -0.016751528465776964, 'C': 0.2052724269640131, 'E': 0.28869724356019294, 'D': -0.3157868442156021, 'G': -0.06806324558712173, 'F': 0.5677885957439495, 'I': 0.20998551336167304, 'H': 0.09517953717485582, 'K': -0.6233446397945536, 'M': 0.3861350937598414, 'L': 0.16105534744940703, 'N': 0.016741763029671685, 'Q': -0.6722824558136564, 'P': -0.4574542043416022, 'S': -0.17169335298927074, 'R': -0.6437728451865558, 'T': 0.32108710351851133, 'W': 0.3689081602955359, 'V': 0.10421275678141051, 'Y': 0.1001081657952509}, 1: {'A': -0.0742440100116004, 'C': 0.32147767277080463, 'E': -0.8145320753339421, 'D': -0.6211824535777714, 'G': 0.07109905664213384, 'F': -0.4065866546015197, 'I': 0.36352921164590907, 'H': -0.8871348013306825, 'K': -0.927596581970243, 'M': -0.096589817178636, 'L': 0.09853910188365307, 'N': -0.9234113616865729, 'Q': -0.9957499681703522, 'P': -1.1302239927250537, 'S': 1.1829290237635919, 'R': -0.841418033541965, 'T': 1.2342617439826857, 'W': -0.4630596724820436, 'V': -0.1200079780395126, 'Y': -0.7321658089733055}, 2: {'A': 0.3990602410643315, 'C': -0.7605516847494797, 'E': 0.47934557861039123, 'D': 1.064324385686197, 'G': 0.20419049549781737, 'F': -0.1177318112751957, 'I': -0.33175326623701734, 'H': -0.7409651152780059, 'K': -0.6496045598356998, 'M': -0.09119797608706304, 'L': -0.020238172401346063, 'N': -0.3479468904785553, 'Q': -0.48660565406869916, 'P': -0.7656135813342865, 'S': 0.7145070967783541, 'R': -0.6621756655112138, 'T': -0.03831337926111381, 'W': -0.7882666439912954, 'V': -0.7253143879305114, 'Y': 0.06783772987829903}, 3: {'A': -0.01941370092408055, 'C': 0.3601610811170307, 'E': 0.4008119143123035, 'D': 0.5454838420699009, 'G': 0.022651894887041658, 'F': -0.17808819072836196, 'I': -0.1331560572323217, 'H': 0.2510557050440874, 'K': -0.47493266209060586, 'M': 0.028262134864775676, 'L': -0.0027027119090640562, 'N': 0.08400391902495413, 'Q': -0.21142101157769005, 'P': -0.1850922058721258, 'S': 0.41345450631966674, 'R': -0.5236921293744917, 'T': 0.3149504450273123, 'W': -0.3073940268248567, 'V': -0.5903058043448878, 'Y': 0.05194880923110099}, 4: {'A': -0.11821293131829651, 'C': 0.4038503120158683, 'E': 0.13303326779422237, 'D': 0.4015013991328155, 'G': -0.12167836501255862, 'F': -0.2788343498835485, 'I': -0.2670705387207733, 'H': -0.5398320995339958, 'K': -0.12929055723853725, 'M': 0.3093759882089608, 'L': 0.006058898279472892, 'N': 0.46749592918364397, 'Q': -0.21470092267118707, 'P': -0.19051745524006697, 'S': -0.11951686007574269, 'R': 0.029412716157092456, 'T': 0.5721847812167904, 'W': -0.42596172571115926, 'V': 0.029782536662922052, 'Y': -0.024428844383319076}, 5: {'A': 0.255700339765483, 'C': 0.16740917684210363, 'E': -0.004198300744770456, 'D': 0.37003204615513974, 'G': -0.26362656774022464, 'F': 0.20620131091127888, 'I': 0.2566714283818733, 'H': -0.915990837546003, 'K': 0.3661329945661531, 'M': 0.46002577907027964, 'L': -0.5707442942047944, 'N': -0.08521008269372404, 'Q': -0.009435885624770114, 'P': -0.4191708532534799, 'S': 0.38893558123524197, 'R': -0.4019441485106676, 'T': -0.30061578945571826, 'W': 0.7730643898140942, 'V': -0.2651028449665572, 'Y': 0.367952358645172}, 6: {'A': 0.08669994227121237, 'C': 0.2901206154251204, 'E': -0.6663959039849924, 'D': 0.19548369237728205, 'G': -0.26169227144151, 'F': -0.24834897890441265, 'I': -0.06435942824573462, 'H': -0.31134675405781653, 'K': -0.21161771724759368, 'M': -0.298294323116, 'L': 0.4562668629622687, 'N': -0.24937270342076176, 'Q': -0.2570369279469902, 'P': -0.03143332940825226, 'S': 0.01643966239021033, 'R': -0.4565131574094061, 'T': 0.566874042143076, 'W': -0.3516144883861479, 'V': -0.02145886243664518, 'Y': 0.4303372147762559}, 7: {'A': 0.17751502995767401, 'C': -0.16245985446084837, 'E': -0.3029179411802425, 'D': 0.7149610650055565, 'G': 0.4200525209755828, 'F': -0.38528824200463746, 'I': -0.28227783400305967, 'H': 0.36330843171651417, 'K': -0.6138541604009997, 'M': 0.47401692380332194, 'L': 0.14342880731429666, 'N': -0.5461685628673039, 'Q': -0.015693895634515394, 'P': -0.008021363842022004, 'S': 0.0808081744600807, 'R': -0.8096911659346033, 'T': -0.07988168482836222, 'W': 0.3213744324976788, 'V': 0.07857204668519233, 'Y': 0.1040358525713501}, 8: {'A': -0.10100100311312502, 'C': 0.6812135954617188, 'E': 0.5370919686886434, 'D': 0.3865444437003544, 'G': -0.05855058546784322, 'F': 0.2925789246067446, 'I': -0.40907142639917937, 'H': 0.5128276257514178, 'K': 0.3170907634241501, 'M': 0.20968963551546424, 'L': -0.18008542729391183, 'N': 0.10494902046805865, 'Q': -0.3348700933629258, 'P': -0.11460493685390485, 'S': -0.14154052523937072, 'R': -0.2257876581535016, 'T': -0.554880126027391, 'W': -1.0163218982760043, 'V': -0.11495232028283993, 'Y': 0.3699581631833448}, 9: {'A': -0.7427956888259679, 'C': -4.0, 'E': -4.0, 'D': -4.0, 'G': -4.0, 'F': -0.5230195663797045, 'I': -0.807933305283615, 'H': -1.097619741216742, 'K': -1.031764296079153, 'M': -1.0622560929560094, 'L': -0.740879038057691, 'N': -4.0, 'Q': -4.0, 'P': -4.0, 'S': -4.0, 'R': -1.1894166586721822, 'T': -4.0, 'W': -0.8172061475147632, 'V': -1.0017085267177055, 'Y': 1.5094537488444575}, -1: {'slope': 0.1562502588004502, 'intercept': -0.5936069714981976}}
| 5,197
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| 0.366129
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0
| 5
|
884ed38052fd119adce74b6a813dead93f733bcb
| 152
|
py
|
Python
|
findance/entity/admin.py
|
mccartnm/findance
|
5d8b980cbe3f0b3dbe5798a75f58b5749088331f
|
[
"MIT"
] | null | null | null |
findance/entity/admin.py
|
mccartnm/findance
|
5d8b980cbe3f0b3dbe5798a75f58b5749088331f
|
[
"MIT"
] | null | null | null |
findance/entity/admin.py
|
mccartnm/findance
|
5d8b980cbe3f0b3dbe5798a75f58b5749088331f
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import OwningEntity, EntityControl
admin.site.register(OwningEntity)
admin.site.register(EntityControl)
| 21.714286
| 47
| 0.842105
| 18
| 152
| 7.111111
| 0.555556
| 0.140625
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0
| 5
|
8859e71f635a1b081161615b649c3257719cf7d7
| 187
|
py
|
Python
|
modules/django-debug-toolbar/chuck_module.py
|
msabramo/django-chuck
|
bbef6171c9b3738460dc05cb77e65ba88fcc5ad8
|
[
"BSD-2-Clause"
] | 1
|
2020-05-29T04:27:50.000Z
|
2020-05-29T04:27:50.000Z
|
modules/django-debug-toolbar/chuck_module.py
|
msabramo/django-chuck
|
bbef6171c9b3738460dc05cb77e65ba88fcc5ad8
|
[
"BSD-2-Clause"
] | null | null | null |
modules/django-debug-toolbar/chuck_module.py
|
msabramo/django-chuck
|
bbef6171c9b3738460dc05cb77e65ba88fcc5ad8
|
[
"BSD-2-Clause"
] | null | null | null |
description = """
Adds Django Debug Toolbar support to your project.
For more information, visit:
https://github.com/django-debug-toolbar/django-debug-toolbar/blob/master/README.rst
"""
| 26.714286
| 83
| 0.775401
| 26
| 187
| 5.576923
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| 187
| 7
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0
| 5
|
889237f5f28ac269ce6afb7a55235fead3a5fa57
| 242
|
py
|
Python
|
dataview/__init__.py
|
joshloyal/DataView
|
28fa57ff421115638244d59dccfaf5b3403be765
|
[
"MIT"
] | null | null | null |
dataview/__init__.py
|
joshloyal/DataView
|
28fa57ff421115638244d59dccfaf5b3403be765
|
[
"MIT"
] | null | null | null |
dataview/__init__.py
|
joshloyal/DataView
|
28fa57ff421115638244d59dccfaf5b3403be765
|
[
"MIT"
] | null | null | null |
from dataview.base import DataView, fetch_view
from dataview.diabetes import DiabetesView
import dataview.exceptions as exceptions
import dataview.dv_io as io
import dataview.data_utils as data_utils
from dataview.data_types import DataTypes
| 34.571429
| 46
| 0.867769
| 36
| 242
| 5.694444
| 0.444444
| 0.273171
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| 242
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| 1
| 0
|
0
| 5
|
88a1d94a65ff984ff1846a0064243fdc52f62982
| 232
|
py
|
Python
|
pirates/teleport/ShipTeleportActor.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 81
|
2018-04-08T18:14:24.000Z
|
2022-01-11T07:22:15.000Z
|
pirates/teleport/ShipTeleportActor.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 4
|
2018-09-13T20:41:22.000Z
|
2022-01-08T06:57:00.000Z
|
pirates/teleport/ShipTeleportActor.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 26
|
2018-05-26T12:49:27.000Z
|
2021-09-11T09:11:59.000Z
|
from pirates.teleport.DistributedTeleportActor import DistributedTeleportActor
class ShipTeleportActor(DistributedTeleportActor):
def __init__(self, cr):
DistributedTeleportActor.__init__(self, cr, 'ShipTeleportActor')
| 38.666667
| 78
| 0.823276
| 18
| 232
| 10.166667
| 0.611111
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| 232
| 6
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|
0
| 5
|
88aa96ad8740a5896f55997109facd0a693b3e76
| 516
|
py
|
Python
|
errors.py
|
bisphon/pontiac
|
d006c2f05f2f027fb395606f0ff6944b6bfa7838
|
[
"MIT"
] | 3
|
2017-04-13T09:27:40.000Z
|
2020-03-30T22:08:29.000Z
|
errors.py
|
bisphon/pontiac
|
d006c2f05f2f027fb395606f0ff6944b6bfa7838
|
[
"MIT"
] | null | null | null |
errors.py
|
bisphon/pontiac
|
d006c2f05f2f027fb395606f0ff6944b6bfa7838
|
[
"MIT"
] | null | null | null |
class PontiacError(Exception):
"""Base class for error conditions defined for this application"""
pass
class ConfigurationError(PontiacError):
"""Exception class to denote an error in application configuration"""
pass
class DataValidationError(PontiacError):
"""Exception class to denote an error in input data"""
pass
class DependencyError(PontiacError):
"""Exception class to denote an error while trying to work with dependent
services like databases, etc.
"""
pass
| 23.454545
| 77
| 0.726744
| 59
| 516
| 6.355932
| 0.508475
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| 0
| 0
|
0
| 5
|
88abf0ed8ed85f28527968b6b3e1862234b99d20
| 77
|
py
|
Python
|
covfefe/__init__.py
|
glryanon/Trusty-cogs
|
1d5056ad166a7e7ee5039baa31748b1995ae81f6
|
[
"MIT"
] | 1
|
2020-12-28T15:58:16.000Z
|
2020-12-28T15:58:16.000Z
|
covfefe/__init__.py
|
glryanon/Trusty-cogs
|
1d5056ad166a7e7ee5039baa31748b1995ae81f6
|
[
"MIT"
] | null | null | null |
covfefe/__init__.py
|
glryanon/Trusty-cogs
|
1d5056ad166a7e7ee5039baa31748b1995ae81f6
|
[
"MIT"
] | 1
|
2020-07-27T00:04:45.000Z
|
2020-07-27T00:04:45.000Z
|
from .covfefe import Covfefe
def setup(bot):
bot.add_cog(Covfefe(bot))
| 12.833333
| 29
| 0.714286
| 12
| 77
| 4.5
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|
0
| 5
|
ee130943d829f7270b0e175f34fec5d4641b72e7
| 170
|
py
|
Python
|
doubler_premier_kwds.py
|
Kehrlann/python-functions
|
7701e6d413c2647147640269dc1f34c4b05a9889
|
[
"Apache-2.0"
] | null | null | null |
doubler_premier_kwds.py
|
Kehrlann/python-functions
|
7701e6d413c2647147640269dc1f34c4b05a9889
|
[
"Apache-2.0"
] | null | null | null |
doubler_premier_kwds.py
|
Kehrlann/python-functions
|
7701e6d413c2647147640269dc1f34c4b05a9889
|
[
"Apache-2.0"
] | null | null | null |
def add3(x, y=0, z=0):
return x + y + z
def mul3(x=1, y=1, z=1):
return x * y * z
def doubler_premier_kwds(votre, signature):
# TODO: votre code
pass
| 14.166667
| 43
| 0.570588
| 33
| 170
| 2.878788
| 0.515152
| 0.063158
| 0.168421
| 0.189474
| 0.252632
| 0
| 0
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| 0
| 0
| 0.057377
| 0.282353
| 170
| 11
| 44
| 15.454545
| 0.721311
| 0.094118
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 0
| 1
| 0.5
| false
| 0.166667
| 0
| 0.333333
| 0.833333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
|
0
| 5
|
ee232f9c46c39b027a3a9b90aa194799efe9447a
| 545
|
py
|
Python
|
cloudbridge/interfaces/__init__.py
|
MosheFriedland/cloudbridge
|
af7644322044863d401645311c0d1f2556bccb63
|
[
"MIT"
] | 61
|
2018-07-10T18:32:43.000Z
|
2022-03-06T04:50:20.000Z
|
cloudbridge/interfaces/__init__.py
|
MosheFriedland/cloudbridge
|
af7644322044863d401645311c0d1f2556bccb63
|
[
"MIT"
] | 134
|
2018-07-02T16:46:29.000Z
|
2022-02-03T17:05:43.000Z
|
cloudbridge/interfaces/__init__.py
|
MosheFriedland/cloudbridge
|
af7644322044863d401645311c0d1f2556bccb63
|
[
"MIT"
] | 23
|
2018-08-07T17:33:16.000Z
|
2021-12-25T01:44:20.000Z
|
"""
Public interface exports
"""
from .provider import CloudProvider # noqa
from .provider import TestMockHelperMixin # noqa
from .resources import CloudServiceType # noqa
from .resources import InstanceState # noqa
from .resources import LaunchConfig # noqa
from .resources import MachineImageState # noqa
from .resources import NetworkState # noqa
from .resources import Region # noqa
from .resources import SnapshotState # noqa
from .resources import VolumeState # noqa
from .exceptions import InvalidConfigurationException # noqa
| 36.333333
| 61
| 0.798165
| 58
| 545
| 7.5
| 0.344828
| 0.183908
| 0.312644
| 0.422989
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150459
| 545
| 14
| 62
| 38.928571
| 0.939525
| 0.146789
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| 0
| 1
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| true
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
c9a399a5820af8034632ab24c4a777bce160f70b
| 31
|
py
|
Python
|
giat/__main__.py
|
hobbymarks/GitMore
|
d1ebc0710cb6bef1c5dce90d45396bcbdfb90c19
|
[
"MIT"
] | 1
|
2021-12-22T15:36:35.000Z
|
2021-12-22T15:36:35.000Z
|
giat/__main__.py
|
hobbymarks/GitMore
|
d1ebc0710cb6bef1c5dce90d45396bcbdfb90c19
|
[
"MIT"
] | 1
|
2021-05-31T00:09:30.000Z
|
2021-05-31T00:09:30.000Z
|
giat/__main__.py
|
hobbymarks/giat
|
d1ebc0710cb6bef1c5dce90d45396bcbdfb90c19
|
[
"MIT"
] | null | null | null |
import giat
giat.run_main()
| 5.166667
| 15
| 0.709677
| 5
| 31
| 4.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193548
| 31
| 5
| 16
| 6.2
| 0.84
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
c9bbe9bffec576736662529217ee86aa10faec19
| 63
|
py
|
Python
|
alfworld/agents/semantic_graph/__init__.py
|
roy860328/VSGM
|
3ec19f9cf1401cecf45527687936b8fe4167f672
|
[
"MIT"
] | 6
|
2021-05-22T15:33:42.000Z
|
2022-01-12T03:34:39.000Z
|
alfworld/agents/semantic_graph/__init__.py
|
roy860328/VSGM
|
3ec19f9cf1401cecf45527687936b8fe4167f672
|
[
"MIT"
] | 1
|
2021-06-19T10:04:13.000Z
|
2021-06-20T03:37:23.000Z
|
alfworld/agents/semantic_graph/__init__.py
|
roy860328/VSGM
|
3ec19f9cf1401cecf45527687936b8fe4167f672
|
[
"MIT"
] | null | null | null |
from . import gcn
from . import utils
from . import graph_embed
| 21
| 25
| 0.777778
| 10
| 63
| 4.8
| 0.6
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174603
| 63
| 3
| 25
| 21
| 0.923077
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
c9c5034488236d947adedba227b1f74df63930dd
| 147
|
py
|
Python
|
provider/oauth2/apps.py
|
basilfx/django-oauth2-provider
|
602a92d257d03753806b8db3a866cbd547746b21
|
[
"MIT"
] | 6
|
2015-08-23T16:06:29.000Z
|
2021-05-18T15:19:57.000Z
|
provider/oauth2/apps.py
|
basilfx/django-oauth2-provider
|
602a92d257d03753806b8db3a866cbd547746b21
|
[
"MIT"
] | 1
|
2016-10-21T16:33:55.000Z
|
2016-10-25T18:18:34.000Z
|
provider/oauth2/apps.py
|
Memrise/django-oauth2-provider
|
37c44de82f5d7a0f03532dbb29e377ee7aac1a69
|
[
"MIT"
] | 6
|
2015-06-11T22:48:28.000Z
|
2021-11-11T09:34:03.000Z
|
from django.apps import AppConfig
class Oauth2(AppConfig):
name = 'provider.oauth2'
label = 'oauth2'
verbose_name = "Provider Oauth2"
| 21
| 36
| 0.707483
| 17
| 147
| 6.058824
| 0.647059
| 0.23301
| 0.349515
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033898
| 0.197279
| 147
| 6
| 37
| 24.5
| 0.838983
| 0
| 0
| 0
| 0
| 0
| 0.244898
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
c9facc1dc4aab5a094245538a991df16b25bc3a6
| 294
|
py
|
Python
|
concrete/quantization/__init__.py
|
iciac/concrete-numpy
|
debf888e9281263b731cfc4b31feb5de7ec7f47a
|
[
"FTL"
] | 1
|
2022-01-17T14:44:13.000Z
|
2022-01-17T14:44:13.000Z
|
concrete/quantization/__init__.py
|
iciac/concrete-numpy
|
debf888e9281263b731cfc4b31feb5de7ec7f47a
|
[
"FTL"
] | null | null | null |
concrete/quantization/__init__.py
|
iciac/concrete-numpy
|
debf888e9281263b731cfc4b31feb5de7ec7f47a
|
[
"FTL"
] | null | null | null |
"""Modules for quantization."""
from .post_training import PostTrainingAffineQuantization
from .quantized_activations import QuantizedReLU6, QuantizedSigmoid
from .quantized_array import QuantizedArray
from .quantized_layers import QuantizedLinear
from .quantized_module import QuantizedModule
| 42
| 67
| 0.87415
| 29
| 294
| 8.689655
| 0.62069
| 0.206349
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003704
| 0.081633
| 294
| 6
| 68
| 49
| 0.92963
| 0.085034
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
a01e8c7ac471486ced51f900ba3cbb4373798380
| 134
|
py
|
Python
|
docsearch/mapper/__init__.py
|
brpaz/ulauncher-docsearch
|
3ec40ebc18c97787e8fb2b8380178d37667601fd
|
[
"MIT"
] | 21
|
2020-03-04T00:27:52.000Z
|
2022-03-15T09:48:35.000Z
|
docsearch/mapper/__init__.py
|
brpaz/ulauncher-docsearch
|
3ec40ebc18c97787e8fb2b8380178d37667601fd
|
[
"MIT"
] | 7
|
2020-03-14T02:05:33.000Z
|
2021-05-09T14:53:40.000Z
|
docsearch/mapper/__init__.py
|
brpaz/ulauncher-docsearch
|
3ec40ebc18c97787e8fb2b8380178d37667601fd
|
[
"MIT"
] | 5
|
2020-03-10T10:48:54.000Z
|
2021-12-01T10:27:47.000Z
|
from .default import DefaultMapper
from .github import GitHubMapper
from .prisma import PrismaMapper
from .vercel import VercelMapper
| 26.8
| 34
| 0.850746
| 16
| 134
| 7.125
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119403
| 134
| 4
| 35
| 33.5
| 0.966102
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
4e52177c77ca5999329240a0a2a0b755cc2b2e26
| 91
|
py
|
Python
|
gfapy/line/group/group.py
|
ujjwalsh/gfapy
|
891ef3df695f20c67809e5a54549c876d90690b4
|
[
"ISC"
] | 44
|
2017-03-18T08:08:04.000Z
|
2021-11-10T16:11:15.000Z
|
gfapy/line/group/group.py
|
ujjwalsh/gfapy
|
891ef3df695f20c67809e5a54549c876d90690b4
|
[
"ISC"
] | 22
|
2017-04-04T21:20:31.000Z
|
2022-03-09T19:05:30.000Z
|
gfapy/line/group/group.py
|
ujjwalsh/gfapy
|
891ef3df695f20c67809e5a54549c876d90690b4
|
[
"ISC"
] | 5
|
2017-07-07T02:56:56.000Z
|
2020-09-30T20:10:49.000Z
|
from ..line import Line
class Group(Line):
"""
A group is a U O or P line
"""
pass
| 13
| 28
| 0.593407
| 17
| 91
| 3.176471
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.285714
| 91
| 6
| 29
| 15.166667
| 0.830769
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
4e87d5f43e0e62f3764c9cba90b08e3bccf99c87
| 35
|
py
|
Python
|
meiduo/celery_tasks/config.py
|
wey77/meiduo_mall
|
27e7ef866bc2363281d00165b5e3884cc079c981
|
[
"MIT"
] | null | null | null |
meiduo/celery_tasks/config.py
|
wey77/meiduo_mall
|
27e7ef866bc2363281d00165b5e3884cc079c981
|
[
"MIT"
] | null | null | null |
meiduo/celery_tasks/config.py
|
wey77/meiduo_mall
|
27e7ef866bc2363281d00165b5e3884cc079c981
|
[
"MIT"
] | null | null | null |
broker_url = "redis://127.0.0.1/2"
| 17.5
| 34
| 0.628571
| 8
| 35
| 2.625
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.21875
| 0.085714
| 35
| 1
| 35
| 35
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0.542857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
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| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
4e91bae9bc723272c8dd3477526d133fad3286ba
| 108,328
|
py
|
Python
|
suball.py
|
netlabcode/upgit
|
0030d7b0355aa26cdc1bfb5414fca77d33245add
|
[
"MIT"
] | null | null | null |
suball.py
|
netlabcode/upgit
|
0030d7b0355aa26cdc1bfb5414fca77d33245add
|
[
"MIT"
] | null | null | null |
suball.py
|
netlabcode/upgit
|
0030d7b0355aa26cdc1bfb5414fca77d33245add
|
[
"MIT"
] | null | null | null |
from opcua import Server
from opcua import ua
from opcua import Client
from random import randint
import datetime
import time
server = Server()
url = "opc.tcp://0.0.0.0:8899/freeopcua/server/"
server.set_endpoint(url)
name="OPC_UA_SERVER"
addspace = server.register_namespace(name)
#Define Variant Data Type 2 = Integer ; 4 = float
variant = None
variant = ua.Variant(0, ua.VariantType.Int16)
variant2 = None
variant2 = ua.Variant(0, ua.VariantType.Float)
node = server.get_objects_node()
Param = node.add_object(addspace,"Substation")
S01 = node.add_object(addspace,"Substation01")
S02 = node.add_object(addspace,"Substation02")
S03 = node.add_object(addspace,"Substation03")
S04 = node.add_object(addspace,"Substation04")
S05 = node.add_object(addspace,"Substation05")
S06 = node.add_object(addspace,"Substation06")
S07 = node.add_object(addspace,"Substation07")
S08 = node.add_object(addspace,"Substation08")
S09 = node.add_object(addspace,"Substation09")
S10 = node.add_object(addspace,"Substation10")
S11 = node.add_object(addspace,"Substation11")
S12 = node.add_object(addspace,"Substation12")
S13 = node.add_object(addspace,"Substation13")
S14 = node.add_object(addspace,"Substation14")
S15 = node.add_object(addspace,"Substation15")
S16 = node.add_object(addspace,"Substation16")
S17 = node.add_object(addspace,"Substation17")
S18 = node.add_object(addspace,"Substation18")
S19 = node.add_object(addspace,"Substation19")
S20 = node.add_object(addspace,"Substation20")
S21 = node.add_object(addspace,"Substation21")
S22 = node.add_object(addspace,"Substation22")
S23 = node.add_object(addspace,"Substation23")
S24 = node.add_object(addspace,"Substation24")
S25 = node.add_object(addspace,"Substation25")
S24 = node.add_object(addspace,"Substation24")
S25 = node.add_object(addspace,"Substation25")
S26 = node.add_object(addspace,"Substation26")
S27 = node.add_object(addspace,"Substation27")
S1_M1_B39_Li_01_39_CB_ctrl =S01.add_variable(addspace,"S1_M1_B39_Li_01_39_CB_ctrl",variant)
S1_M1_B39_Li_01_39_CB_ctrl.set_writable(True)
S1_M1_B39_Li_01_39_CB_res =S01.add_variable(addspace,"S1_M1_B39_Li_01_39_CB_res",variant2)
S1_M1_B39_Li_01_39_CB_res.set_writable(True)
S1_M1_B39_Li_01_39_I_res =S01.add_variable(addspace,"S1_M1_B39_Li_01_39_I_res",variant2)
S1_M1_B39_Li_01_39_I_res.set_writable(True)
S1_M1_B39_Li_01_39_P_res =S01.add_variable(addspace,"S1_M1_B39_Li_01_39_P_res",variant2)
S1_M1_B39_Li_01_39_P_res.set_writable(True)
S1_M1_B39_Li_01_39_Q_res =S01.add_variable(addspace,"S1_M1_B39_Li_01_39_Q_res",variant2)
S1_M1_B39_Li_01_39_Q_res.set_writable(True)
S1_M1_B39_Li_09_39_V_res =S01.add_variable(addspace,"S1_M1_B39_Li_09_39_V_res",variant2)
S1_M1_B39_Li_09_39_V_res.set_writable(True)
S1_M2_B39_Li_01_39_V_res =S01.add_variable(addspace,"S1_M2_B39_Li_01_39_V_res",variant2)
S1_M2_B39_Li_01_39_V_res.set_writable(True)
S1_M2_B39_Li_09_39_CB_ctrl =S01.add_variable(addspace,"S1_M2_B39_Li_09_39_CB_ctrl",variant)
S1_M2_B39_Li_09_39_CB_ctrl.set_writable(True)
S1_M2_B39_Li_09_39_CB_res =S01.add_variable(addspace,"S1_M2_B39_Li_09_39_CB_res",variant2)
S1_M2_B39_Li_09_39_CB_res.set_writable(True)
S1_M2_B39_Li_09_39_I_res =S01.add_variable(addspace,"S1_M2_B39_Li_09_39_I_res",variant2)
S1_M2_B39_Li_09_39_I_res.set_writable(True)
S1_M2_B39_Li_09_39_P_res =S01.add_variable(addspace,"S1_M2_B39_Li_09_39_P_res",variant2)
S1_M2_B39_Li_09_39_P_res.set_writable(True)
S1_M2_B39_Li_09_39_Q_res =S01.add_variable(addspace,"S1_M2_B39_Li_09_39_Q_res",variant2)
S1_M2_B39_Li_09_39_Q_res.set_writable(True)
S1_M3_B39_Ld39_CB_ctrl =S01.add_variable(addspace,"S1_M3_B39_Ld39_CB_ctrl",variant)
S1_M3_B39_Ld39_CB_ctrl.set_writable(True)
S1_M3_B39_Ld39_CB_res =S01.add_variable(addspace,"S1_M3_B39_Ld39_CB_res",variant2)
S1_M3_B39_Ld39_CB_res.set_writable(True)
S1_M3_B39_Ld39_P_res =S01.add_variable(addspace,"S1_M3_B39_Ld39_P_res",variant2)
S1_M3_B39_Ld39_P_res.set_writable(True)
S1_M3_B39_Ld39_Q_res =S01.add_variable(addspace,"S1_M3_B39_Ld39_Q_res",variant2)
S1_M3_B39_Ld39_Q_res.set_writable(True)
S1_M3_B39_Ld39_V_res =S01.add_variable(addspace,"S1_M3_B39_Ld39_V_res",variant2)
S1_M3_B39_Ld39_V_res.set_writable(True)
S1_M4_B39_G1_CB_ctrl =S01.add_variable(addspace,"S1_M4_B39_G1_CB_ctrl",variant)
S1_M4_B39_G1_CB_ctrl.set_writable(True)
S1_M4_B39_G1_CB_res =S01.add_variable(addspace,"S1_M4_B39_G1_CB_res",variant2)
S1_M4_B39_G1_CB_res.set_writable(True)
S1_M4_B39_G1_f_res =S01.add_variable(addspace,"S1_M4_B39_G1_f_res",variant2)
S1_M4_B39_G1_f_res.set_writable(True)
S1_M4_B39_G1_Ld_res =S01.add_variable(addspace,"S1_M4_B39_G1_Ld_res",variant2)
S1_M4_B39_G1_Ld_res.set_writable(True)
S1_M4_B39_G1_P_ctrl =S01.add_variable(addspace,"S1_M4_B39_G1_P_ctrl",variant2)
S1_M4_B39_G1_P_ctrl.set_writable(True)
S1_M4_B39_G1_P_res =S01.add_variable(addspace,"S1_M4_B39_G1_P_res",variant2)
S1_M4_B39_G1_P_res.set_writable(True)
S1_M4_B39_G1_Q_res =S01.add_variable(addspace,"S1_M4_B39_G1_Q_res",variant2)
S1_M4_B39_G1_Q_res.set_writable(True)
S1_M4_B39_G1_V_ctrl =S01.add_variable(addspace,"S1_M4_B39_G1_V_ctrl",variant2)
S1_M4_B39_G1_V_ctrl.set_writable(True)
S1_M4_B39_G1_V_res =S01.add_variable(addspace,"S1_M4_B39_G1_V_res",variant2)
S1_M4_B39_G1_V_res.set_writable(True)
S2_M1_B02_Li_02_01_CB_ctrl =S02.add_variable(addspace,"S2_M1_B02_Li_02_01_CB_ctrl",variant)
S2_M1_B02_Li_02_01_CB_ctrl.set_writable(True)
S2_M1_B02_Li_02_01_CB_res =S02.add_variable(addspace,"S2_M1_B02_Li_02_01_CB_res",variant)
S2_M1_B02_Li_02_01_CB_res.set_writable(True)
S2_M1_B02_Li_02_01_I_res =S02.add_variable(addspace,"S2_M1_B02_Li_02_01_I_res",variant2)
S2_M1_B02_Li_02_01_I_res.set_writable(True)
S2_M1_B02_Li_02_01_P_res =S02.add_variable(addspace,"S2_M1_B02_Li_02_01_P_res",variant2)
S2_M1_B02_Li_02_01_P_res.set_writable(True)
S2_M1_B02_Li_02_01_Q_res =S02.add_variable(addspace,"S2_M1_B02_Li_02_01_Q_res",variant2)
S2_M1_B02_Li_02_01_Q_res.set_writable(True)
S2_M1_B02_Li_02_01_V_res =S02.add_variable(addspace,"S2_M1_B02_Li_02_01_V_res",variant2)
S2_M1_B02_Li_02_01_V_res.set_writable(True)
S2_M2_B02_Li_02_03_CB_ctrl =S02.add_variable(addspace,"S2_M2_B02_Li_02_03_CB_ctrl",variant)
S2_M2_B02_Li_02_03_CB_ctrl.set_writable(True)
S2_M2_B02_Li_02_03_CB_res =S02.add_variable(addspace,"S2_M2_B02_Li_02_03_CB_res",variant)
S2_M2_B02_Li_02_03_CB_res.set_writable(True)
S2_M2_B02_Li_02_03_I_res =S02.add_variable(addspace,"S2_M2_B02_Li_02_03_I_res",variant2)
S2_M2_B02_Li_02_03_I_res.set_writable(True)
S2_M2_B02_Li_02_03_P_res =S02.add_variable(addspace,"S2_M2_B02_Li_02_03_P_res",variant2)
S2_M2_B02_Li_02_03_P_res.set_writable(True)
S2_M2_B02_Li_02_03_Q_res =S02.add_variable(addspace,"S2_M2_B02_Li_02_03_Q_res",variant2)
S2_M2_B02_Li_02_03_Q_res.set_writable(True)
S2_M2_B02_Li_02_03_V_res =S02.add_variable(addspace,"S2_M2_B02_Li_02_03_V_res",variant2)
S2_M2_B02_Li_02_03_V_res.set_writable(True)
S2_M3_B02_Li_02_25_CB_ctrl =S02.add_variable(addspace,"S2_M3_B02_Li_02_25_CB_ctrl",variant)
S2_M3_B02_Li_02_25_CB_ctrl.set_writable(True)
S2_M3_B02_Li_02_25_CB_res =S02.add_variable(addspace,"S2_M3_B02_Li_02_25_CB_res",variant)
S2_M3_B02_Li_02_25_CB_res.set_writable(True)
S2_M3_B02_Li_02_25_I_res =S02.add_variable(addspace,"S2_M3_B02_Li_02_25_I_res",variant2)
S2_M3_B02_Li_02_25_I_res.set_writable(True)
S2_M3_B02_Li_02_25_P_res =S02.add_variable(addspace,"S2_M3_B02_Li_02_25_P_res",variant2)
S2_M3_B02_Li_02_25_P_res.set_writable(True)
S2_M3_B02_Li_02_25_Q_res =S02.add_variable(addspace,"S2_M3_B02_Li_02_25_Q_res",variant2)
S2_M3_B02_Li_02_25_Q_res.set_writable(True)
S2_M3_B02_Li_02_25_V_res =S02.add_variable(addspace,"S2_M3_B02_Li_02_25_V_res",variant2)
S2_M3_B02_Li_02_25_V_res.set_writable(True)
S2_M4_B02_TR_CB_ctrl =S02.add_variable(addspace,"S2_M4_B02_TR_CB_ctrl",variant)
S2_M4_B02_TR_CB_ctrl.set_writable(True)
S2_M4_B02_TR_CB_res =S02.add_variable(addspace,"S2_M4_B02_TR_CB_res",variant)
S2_M4_B02_TR_CB_res.set_writable(True)
S2_M4_B02_TR_f_res =S02.add_variable(addspace,"S2_M4_B02_TR_f_res",variant2)
S2_M4_B02_TR_f_res.set_writable(True)
S2_M4_B02_TR_tap =S02.add_variable(addspace,"S2_M4_B02_TR_tap",variant)
S2_M4_B02_TR_tap.set_writable(True)
S2_M4_B02_TR_tap_ctrl =S02.add_variable(addspace,"S2_M4_B02_TR_tap_ctrl",variant)
S2_M4_B02_TR_tap_ctrl.set_writable(True)
S2_M4_B02_TR_tap_Ld_res =S02.add_variable(addspace,"S2_M4_B02_TR_tap_Ld_res",variant2)
S2_M4_B02_TR_tap_Ld_res.set_writable(True)
S2_M4_B02_TR_tap_mode =S02.add_variable(addspace,"S2_M4_B02_TR_tap_mode",variant)
S2_M4_B02_TR_tap_mode.set_writable(True)
S2_M4_B02_TR_tap_res =S02.add_variable(addspace,"S2_M4_B02_TR_tap_res",variant)
S2_M4_B02_TR_tap_res.set_writable(True)
S2_M4_B02_TR_V_res =S02.add_variable(addspace,"S2_M4_B02_TR_V_res",variant2)
S2_M4_B02_TR_V_res.set_writable(True)
S2_M5_B30_TR_CB_ctrl =S02.add_variable(addspace,"S2_M5_B30_TR_CB_ctrl",variant)
S2_M5_B30_TR_CB_ctrl.set_writable(True)
S2_M5_B30_TR_CB_res =S02.add_variable(addspace,"S2_M5_B30_TR_CB_res",variant)
S2_M5_B30_TR_CB_res.set_writable(True)
S2_M6_B30_G10_CB_ctrl =S02.add_variable(addspace,"S2_M6_B30_G10_CB_ctrl",variant)
S2_M6_B30_G10_CB_ctrl.set_writable(True)
S2_M6_B30_G10_CB_res =S02.add_variable(addspace,"S2_M6_B30_G10_CB_res",variant)
S2_M6_B30_G10_CB_res.set_writable(True)
S2_M6_B30_G10_f_res =S02.add_variable(addspace,"S2_M6_B30_G10_f_res",variant2)
S2_M6_B30_G10_f_res.set_writable(True)
S2_M6_B30_G10_Ld_res =S02.add_variable(addspace,"S2_M6_B30_G10_Ld_res",variant2)
S2_M6_B30_G10_Ld_res.set_writable(True)
S2_M6_B30_G10_P_ctrl =S02.add_variable(addspace,"S2_M6_B30_G10_P_ctrl",variant2)
S2_M6_B30_G10_P_ctrl.set_writable(True)
S2_M6_B30_G10_P_res =S02.add_variable(addspace,"S2_M6_B30_G10_P_res",variant2)
S2_M6_B30_G10_P_res.set_writable(True)
S2_M6_B30_G10_Q_res =S02.add_variable(addspace,"S2_M6_B30_G10_Q_res",variant2)
S2_M6_B30_G10_Q_res.set_writable(True)
S2_M6_B30_G10_V_ctrl =S02.add_variable(addspace,"S2_M6_B30_G10_V_ctrl",variant2)
S2_M6_B30_G10_V_ctrl.set_writable(True)
S2_M6_B30_G10_V_res =S02.add_variable(addspace,"S2_M6_B30_G10_V_res",variant2)
S2_M6_B30_G10_V_res.set_writable(True)
S3_M1_B25_Li_02_25_CB_ctrl =S03.add_variable(addspace,"S3_M1_B25_Li_02_25_CB_ctrl",variant)
S3_M1_B25_Li_02_25_CB_ctrl.set_writable(True)
S3_M1_B25_Li_02_25_CB_res =S03.add_variable(addspace,"S3_M1_B25_Li_02_25_CB_res",variant2)
S3_M1_B25_Li_02_25_CB_res.set_writable(True)
S3_M1_B25_Li_02_25_I_res =S03.add_variable(addspace,"S3_M1_B25_Li_02_25_I_res",variant2)
S3_M1_B25_Li_02_25_I_res.set_writable(True)
S3_M1_B25_Li_02_25_P_res =S03.add_variable(addspace,"S3_M1_B25_Li_02_25_P_res",variant2)
S3_M1_B25_Li_02_25_P_res.set_writable(True)
S3_M1_B25_Li_02_25_Q_res =S03.add_variable(addspace,"S3_M1_B25_Li_02_25_Q_res",variant2)
S3_M1_B25_Li_02_25_Q_res.set_writable(True)
S3_M1_B25_Li_02_25_V_res =S03.add_variable(addspace,"S3_M1_B25_Li_02_25_V_res",variant2)
S3_M1_B25_Li_02_25_V_res.set_writable(True)
S3_M2_B25_Ld25_CB_ctrl =S03.add_variable(addspace,"S3_M2_B25_Ld25_CB_ctrl",variant)
S3_M2_B25_Ld25_CB_ctrl.set_writable(True)
S3_M2_B25_Ld25_CB_res =S03.add_variable(addspace,"S3_M2_B25_Ld25_CB_res",variant2)
S3_M2_B25_Ld25_CB_res.set_writable(True)
S3_M2_B25_Ld25_P_res =S03.add_variable(addspace,"S3_M2_B25_Ld25_P_res",variant2)
S3_M2_B25_Ld25_P_res.set_writable(True)
S3_M2_B25_Ld25_Q_res =S03.add_variable(addspace,"S3_M2_B25_Ld25_Q_res",variant2)
S3_M2_B25_Ld25_Q_res.set_writable(True)
S3_M2_B25_Ld25_V_res =S03.add_variable(addspace,"S3_M2_B25_Ld25_V_res",variant2)
S3_M2_B25_Ld25_V_res.set_writable(True)
S3_M3_B25_Tr_CB_ctrl =S03.add_variable(addspace,"S3_M3_B25_Tr_CB_ctrl",variant)
S3_M3_B25_Tr_CB_ctrl.set_writable(True)
S3_M3_B25_Tr_CB_res =S03.add_variable(addspace,"S3_M3_B25_Tr_CB_res",variant2)
S3_M3_B25_Tr_CB_res.set_writable(True)
S3_M3_B25_Tr_f_res =S03.add_variable(addspace,"S3_M3_B25_Tr_f_res",variant2)
S3_M3_B25_Tr_f_res.set_writable(True)
S3_M3_B25_Tr_hv_P_res =S03.add_variable(addspace,"S3_M3_B25_Tr_hv_P_res",variant2)
S3_M3_B25_Tr_hv_P_res.set_writable(True)
S3_M3_B25_Tr_hv_Q_res =S03.add_variable(addspace,"S3_M3_B25_Tr_hv_Q_res",variant2)
S3_M3_B25_Tr_hv_Q_res.set_writable(True)
S3_M3_B25_Tr_Ld_res =S03.add_variable(addspace,"S3_M3_B25_Tr_Ld_res",variant2)
S3_M3_B25_Tr_Ld_res.set_writable(True)
S3_M3_B25_Tr_lv_P_res =S03.add_variable(addspace,"S3_M3_B25_Tr_lv_P_res",variant2)
S3_M3_B25_Tr_lv_P_res.set_writable(True)
S3_M3_B25_Tr_lv_Q_res =S03.add_variable(addspace,"S3_M3_B25_Tr_lv_Q_res",variant2)
S3_M3_B25_Tr_lv_Q_res.set_writable(True)
S3_M3_B25_Tr_tap =S03.add_variable(addspace,"S3_M3_B25_Tr_tap",variant)
S3_M3_B25_Tr_tap.set_writable(True)
S3_M3_B25_Tr_tap_ctrl =S03.add_variable(addspace,"S3_M3_B25_Tr_tap_ctrl",variant)
S3_M3_B25_Tr_tap_ctrl.set_writable(True)
S3_M3_B25_Tr_tap_mode =S03.add_variable(addspace,"S3_M3_B25_Tr_tap_mode",variant)
S3_M3_B25_Tr_tap_mode.set_writable(True)
S3_M3_B25_Tr_tap_res =S03.add_variable(addspace,"S3_M3_B25_Tr_tap_res",variant)
S3_M3_B25_Tr_tap_res.set_writable(True)
S3_M3_B25_Tr_V_res =S03.add_variable(addspace,"S3_M3_B25_Tr_V_res",variant2)
S3_M3_B25_Tr_V_res.set_writable(True)
S3_M4_B25_Li_25_26_CB_ctrl =S03.add_variable(addspace,"S3_M4_B25_Li_25_26_CB_ctrl",variant)
S3_M4_B25_Li_25_26_CB_ctrl.set_writable(True)
S3_M4_B25_Li_25_26_CB_res =S03.add_variable(addspace,"S3_M4_B25_Li_25_26_CB_res",variant2)
S3_M4_B25_Li_25_26_CB_res.set_writable(True)
S3_M4_B25_Li_25_26_I_res =S03.add_variable(addspace,"S3_M4_B25_Li_25_26_I_res",variant2)
S3_M4_B25_Li_25_26_I_res.set_writable(True)
S3_M4_B25_Li_25_26_P_res =S03.add_variable(addspace,"S3_M4_B25_Li_25_26_P_res",variant2)
S3_M4_B25_Li_25_26_P_res.set_writable(True)
S3_M4_B25_Li_25_26_Q_res =S03.add_variable(addspace,"S3_M4_B25_Li_25_26_Q_res",variant2)
S3_M4_B25_Li_25_26_Q_res.set_writable(True)
S3_M4_B25_Li_25_26_V_res =S03.add_variable(addspace,"S3_M4_B25_Li_25_26_V_res",variant2)
S3_M4_B25_Li_25_26_V_res.set_writable(True)
S3_M5_B37_Tr_CB_ctrl =S03.add_variable(addspace,"S3_M5_B37_Tr_CB_ctrl",variant)
S3_M5_B37_Tr_CB_ctrl.set_writable(True)
S3_M5_B37_Tr_CB_res =S03.add_variable(addspace,"S3_M5_B37_Tr_CB_res",variant2)
S3_M5_B37_Tr_CB_res.set_writable(True)
S3_M6_B37_G8_CB_ctrl =S03.add_variable(addspace,"S3_M6_B37_G8_CB_ctrl",variant)
S3_M6_B37_G8_CB_ctrl.set_writable(True)
S3_M6_B37_G8_CB_res =S03.add_variable(addspace,"S3_M6_B37_G8_CB_res",variant2)
S3_M6_B37_G8_CB_res.set_writable(True)
S3_M6_B37_G8_f_res =S03.add_variable(addspace,"S3_M6_B37_G8_f_res",variant2)
S3_M6_B37_G8_f_res.set_writable(True)
S3_M6_B37_G8_Ld_res =S03.add_variable(addspace,"S3_M6_B37_G8_Ld_res",variant2)
S3_M6_B37_G8_Ld_res.set_writable(True)
S3_M6_B37_G8_P_ctrl =S03.add_variable(addspace,"S3_M6_B37_G8_P_ctrl",variant2)
S3_M6_B37_G8_P_ctrl.set_writable(True)
S3_M6_B37_G8_P_res =S03.add_variable(addspace,"S3_M6_B37_G8_P_res",variant2)
S3_M6_B37_G8_P_res.set_writable(True)
S3_M6_B37_G8_Q_res =S03.add_variable(addspace,"S3_M6_B37_G8_Q_res",variant2)
S3_M6_B37_G8_Q_res.set_writable(True)
S3_M6_B37_G8_V_ctrl =S03.add_variable(addspace,"S3_M6_B37_G8_V_ctrl",variant2)
S3_M6_B37_G8_V_ctrl.set_writable(True)
S3_M6_B37_G8_V_res =S03.add_variable(addspace,"S3_M6_B37_G8_V_res",variant2)
S3_M6_B37_G8_V_res.set_writable(True)
S04_M1_B29_Li_26_29_CB_ctrl =S04.add_variable(addspace,"S04_M1_B29_Li_26_29_CB_ctrl",variant)
S04_M1_B29_Li_26_29_CB_ctrl.set_writable(True)
S04_M1_B29_Li_26_29_CB_res =S04.add_variable(addspace,"S04_M1_B29_Li_26_29_CB_res",variant)
S04_M1_B29_Li_26_29_CB_res.set_writable(True)
S04_M1_B29_Li_26_29_I_res =S04.add_variable(addspace,"S04_M1_B29_Li_26_29_I_res",variant2)
S04_M1_B29_Li_26_29_I_res.set_writable(True)
S04_M1_B29_Li_26_29_P_res =S04.add_variable(addspace,"S04_M1_B29_Li_26_29_P_res",variant2)
S04_M1_B29_Li_26_29_P_res.set_writable(True)
S04_M1_B29_Li_26_29_Q_res =S04.add_variable(addspace,"S04_M1_B29_Li_26_29_Q_res",variant2)
S04_M1_B29_Li_26_29_Q_res.set_writable(True)
S04_M1_B29_Li_26_29_V_res =S04.add_variable(addspace,"S04_M1_B29_Li_26_29_V_res",variant2)
S04_M1_B29_Li_26_29_V_res.set_writable(True)
S04_M2_B29_Li_28_29_CB_ctrl =S04.add_variable(addspace,"S04_M2_B29_Li_28_29_CB_ctrl",variant)
S04_M2_B29_Li_28_29_CB_ctrl.set_writable(True)
S04_M2_B29_Li_28_29_CB_res =S04.add_variable(addspace,"S04_M2_B29_Li_28_29_CB_res",variant)
S04_M2_B29_Li_28_29_CB_res.set_writable(True)
S04_M2_B29_Li_28_29_I_res =S04.add_variable(addspace,"S04_M2_B29_Li_28_29_I_res",variant2)
S04_M2_B29_Li_28_29_I_res.set_writable(True)
S04_M2_B29_Li_28_29_P_res =S04.add_variable(addspace,"S04_M2_B29_Li_28_29_P_res",variant2)
S04_M2_B29_Li_28_29_P_res.set_writable(True)
S04_M2_B29_Li_28_29_Q_res =S04.add_variable(addspace,"S04_M2_B29_Li_28_29_Q_res",variant2)
S04_M2_B29_Li_28_29_Q_res.set_writable(True)
S04_M2_B29_Li_28_29_V_res =S04.add_variable(addspace,"S04_M2_B29_Li_28_29_V_res",variant2)
S04_M2_B29_Li_28_29_V_res.set_writable(True)
S04_M3_B29_Ld29_CB_ctrl =S04.add_variable(addspace,"S04_M3_B29_Ld29_CB_ctrl",variant)
S04_M3_B29_Ld29_CB_ctrl.set_writable(True)
S04_M3_B29_Ld29_CB_res =S04.add_variable(addspace,"S04_M3_B29_Ld29_CB_res",variant)
S04_M3_B29_Ld29_CB_res.set_writable(True)
S04_M3_B29_Ld29_f_res =S04.add_variable(addspace,"S04_M3_B29_Ld29_f_res",variant2)
S04_M3_B29_Ld29_f_res.set_writable(True)
S04_M3_B29_Ld29_I_res =S04.add_variable(addspace,"S04_M3_B29_Ld29_I_res",variant2)
S04_M3_B29_Ld29_I_res.set_writable(True)
S04_M3_B29_Ld29_P_res =S04.add_variable(addspace,"S04_M3_B29_Ld29_P_res",variant2)
S04_M3_B29_Ld29_P_res.set_writable(True)
S04_M3_B29_Ld29_Q_res =S04.add_variable(addspace,"S04_M3_B29_Ld29_Q_res",variant2)
S04_M3_B29_Ld29_Q_res.set_writable(True)
S04_M3_B29_Ld29_V_res =S04.add_variable(addspace,"S04_M3_B29_Ld29_V_res",variant2)
S04_M3_B29_Ld29_V_res.set_writable(True)
S04_M4_B29_Tr_CB_ctrl =S04.add_variable(addspace,"S04_M4_B29_Tr_CB_ctrl",variant)
S04_M4_B29_Tr_CB_ctrl.set_writable(True)
S04_M4_B29_Tr_CB_res =S04.add_variable(addspace,"S04_M4_B29_Tr_CB_res",variant)
S04_M4_B29_Tr_CB_res.set_writable(True)
S04_M4_B29_Tr_f_res =S04.add_variable(addspace,"S04_M4_B29_Tr_f_res",variant2)
S04_M4_B29_Tr_f_res.set_writable(True)
S04_M4_B29_Tr_hv_P_res =S04.add_variable(addspace,"S04_M4_B29_Tr_hv_P_res",variant2)
S04_M4_B29_Tr_hv_P_res.set_writable(True)
S04_M4_B29_Tr_hv_Q_res =S04.add_variable(addspace,"S04_M4_B29_Tr_hv_Q_res",variant2)
S04_M4_B29_Tr_hv_Q_res.set_writable(True)
S04_M4_B29_Tr_Ld_res =S04.add_variable(addspace,"S04_M4_B29_Tr_Ld_res",variant2)
S04_M4_B29_Tr_Ld_res.set_writable(True)
S04_M4_B29_Tr_lv_P_res =S04.add_variable(addspace,"S04_M4_B29_Tr_lv_P_res",variant2)
S04_M4_B29_Tr_lv_P_res.set_writable(True)
S04_M4_B29_Tr_lv_Q_res =S04.add_variable(addspace,"S04_M4_B29_Tr_lv_Q_res",variant2)
S04_M4_B29_Tr_lv_Q_res.set_writable(True)
S04_M4_B29_Tr_tap =S04.add_variable(addspace,"S04_M4_B29_Tr_tap",variant)
S04_M4_B29_Tr_tap.set_writable(True)
S04_M4_B29_Tr_tap_ctrl =S04.add_variable(addspace,"S04_M4_B29_Tr_tap_ctrl",variant)
S04_M4_B29_Tr_tap_ctrl.set_writable(True)
S04_M4_B29_Tr_tap_mode =S04.add_variable(addspace,"S04_M4_B29_Tr_tap_mode",variant)
S04_M4_B29_Tr_tap_mode.set_writable(True)
S04_M4_B29_Tr_tap_res =S04.add_variable(addspace,"S04_M4_B29_Tr_tap_res",variant)
S04_M4_B29_Tr_tap_res.set_writable(True)
S04_M4_B29_Tr_V_res =S04.add_variable(addspace,"S04_M4_B29_Tr_V_res",variant2)
S04_M4_B29_Tr_V_res.set_writable(True)
S04_M5_B38_Tr_CB_ctrl =S04.add_variable(addspace,"S04_M5_B38_Tr_CB_ctrl",variant)
S04_M5_B38_Tr_CB_ctrl.set_writable(True)
S04_M5_B38_Tr_CB_res =S04.add_variable(addspace,"S04_M5_B38_Tr_CB_res",variant)
S04_M5_B38_Tr_CB_res.set_writable(True)
S04_M6_B38_G9_CB_ctrl =S04.add_variable(addspace,"S04_M6_B38_G9_CB_ctrl",variant)
S04_M6_B38_G9_CB_ctrl.set_writable(True)
S04_M6_B38_G9_CB_res =S04.add_variable(addspace,"S04_M6_B38_G9_CB_res",variant)
S04_M6_B38_G9_CB_res.set_writable(True)
S04_M6_B38_G9_f_res =S04.add_variable(addspace,"S04_M6_B38_G9_f_res",variant2)
S04_M6_B38_G9_f_res.set_writable(True)
S04_M6_B38_G9_Ld_res =S04.add_variable(addspace,"S04_M6_B38_G9_Ld_res",variant2)
S04_M6_B38_G9_Ld_res.set_writable(True)
S04_M6_B38_G9_P_ctrl =S04.add_variable(addspace,"S04_M6_B38_G9_P_ctrl",variant2)
S04_M6_B38_G9_P_ctrl.set_writable(True)
S04_M6_B38_G9_P_res =S04.add_variable(addspace,"S04_M6_B38_G9_P_res",variant2)
S04_M6_B38_G9_P_res.set_writable(True)
S04_M6_B38_G9_Q_res =S04.add_variable(addspace,"S04_M6_B38_G9_Q_res",variant2)
S04_M6_B38_G9_Q_res.set_writable(True)
S04_M6_B38_G9_V_ctrl =S04.add_variable(addspace,"S04_M6_B38_G9_V_ctrl",variant2)
S04_M6_B38_G9_V_ctrl.set_writable(True)
S04_M6_B38_G9_V_res =S04.add_variable(addspace,"S04_M6_B38_G9_V_res",variant2)
S04_M6_B38_G9_V_res.set_writable(True)
S05_M1_B22_Li_21_22_CB_ctrl =S05.add_variable(addspace,"S05_M1_B22_Li_21_22_CB_ctrl",variant)
S05_M1_B22_Li_21_22_CB_ctrl.set_writable(True)
S05_M1_B22_Li_21_22_CB_res =S05.add_variable(addspace,"S05_M1_B22_Li_21_22_CB_res",variant2)
S05_M1_B22_Li_21_22_CB_res.set_writable(True)
S05_M1_B22_Li_21_22_I_res =S05.add_variable(addspace,"S05_M1_B22_Li_21_22_I_res",variant2)
S05_M1_B22_Li_21_22_I_res.set_writable(True)
S05_M1_B22_Li_21_22_P_res =S05.add_variable(addspace,"S05_M1_B22_Li_21_22_P_res",variant2)
S05_M1_B22_Li_21_22_P_res.set_writable(True)
S05_M1_B22_Li_21_22_Q_res =S05.add_variable(addspace,"S05_M1_B22_Li_21_22_Q_res",variant2)
S05_M1_B22_Li_21_22_Q_res.set_writable(True)
S05_M1_B22_Li_21_22_V_res =S05.add_variable(addspace,"S05_M1_B22_Li_21_22_V_res",variant2)
S05_M1_B22_Li_21_22_V_res.set_writable(True)
S05_M1_B35_Tr_CB_ctrl =S05.add_variable(addspace,"S05_M1_B35_Tr_CB_ctrl",variant)
S05_M1_B35_Tr_CB_ctrl.set_writable(True)
S05_M1_B35_Tr_CB_res =S05.add_variable(addspace,"S05_M1_B35_Tr_CB_res",variant2)
S05_M1_B35_Tr_CB_res.set_writable(True)
S05_M2_B22_Li_22_23_CB_ctrl =S05.add_variable(addspace,"S05_M2_B22_Li_22_23_CB_ctrl",variant)
S05_M2_B22_Li_22_23_CB_ctrl.set_writable(True)
S05_M2_B22_Li_22_23_CB_res =S05.add_variable(addspace,"S05_M2_B22_Li_22_23_CB_res",variant2)
S05_M2_B22_Li_22_23_CB_res.set_writable(True)
S05_M2_B22_Li_22_23_I_res =S05.add_variable(addspace,"S05_M2_B22_Li_22_23_I_res",variant2)
S05_M2_B22_Li_22_23_I_res.set_writable(True)
S05_M2_B22_Li_22_23_P_res =S05.add_variable(addspace,"S05_M2_B22_Li_22_23_P_res",variant2)
S05_M2_B22_Li_22_23_P_res.set_writable(True)
S05_M2_B22_Li_22_23_Q_res =S05.add_variable(addspace,"S05_M2_B22_Li_22_23_Q_res",variant2)
S05_M2_B22_Li_22_23_Q_res.set_writable(True)
S05_M2_B22_Li_22_23_V_res =S05.add_variable(addspace,"S05_M2_B22_Li_22_23_V_res",variant2)
S05_M2_B22_Li_22_23_V_res.set_writable(True)
S05_M2_B35_G6_CB_ctrl =S05.add_variable(addspace,"S05_M2_B35_G6_CB_ctrl",variant)
S05_M2_B35_G6_CB_ctrl.set_writable(True)
S05_M2_B35_G6_CB_res =S05.add_variable(addspace,"S05_M2_B35_G6_CB_res",variant2)
S05_M2_B35_G6_CB_res.set_writable(True)
S05_M2_B35_G6_f_res =S05.add_variable(addspace,"S05_M2_B35_G6_f_res",variant2)
S05_M2_B35_G6_f_res.set_writable(True)
S05_M2_B35_G6_Ld_res =S05.add_variable(addspace,"S05_M2_B35_G6_Ld_res",variant2)
S05_M2_B35_G6_Ld_res.set_writable(True)
S05_M2_B35_G6_P_ctrl =S05.add_variable(addspace,"S05_M2_B35_G6_P_ctrl",variant2)
S05_M2_B35_G6_P_ctrl.set_writable(True)
S05_M2_B35_G6_P_res =S05.add_variable(addspace,"S05_M2_B35_G6_P_res",variant2)
S05_M2_B35_G6_P_res.set_writable(True)
S05_M2_B35_G6_Q_res =S05.add_variable(addspace,"S05_M2_B35_G6_Q_res",variant2)
S05_M2_B35_G6_Q_res.set_writable(True)
S05_M2_B35_G6_V_ctrl =S05.add_variable(addspace,"S05_M2_B35_G6_V_ctrl",variant2)
S05_M2_B35_G6_V_ctrl.set_writable(True)
S05_M2_B35_G6_V_res =S05.add_variable(addspace,"S05_M2_B35_G6_V_res",variant2)
S05_M2_B35_G6_V_res.set_writable(True)
S05_M3_B22_Tr_CB_ctrl =S05.add_variable(addspace,"S05_M3_B22_Tr_CB_ctrl",variant)
S05_M3_B22_Tr_CB_ctrl.set_writable(True)
S05_M3_B22_Tr_CB_res =S05.add_variable(addspace,"S05_M3_B22_Tr_CB_res",variant2)
S05_M3_B22_Tr_CB_res.set_writable(True)
S05_M3_B22_Tr_f_res =S05.add_variable(addspace,"S05_M3_B22_Tr_f_res",variant2)
S05_M3_B22_Tr_f_res.set_writable(True)
S05_M3_B22_Tr_hv_P_res =S05.add_variable(addspace,"S05_M3_B22_Tr_hv_P_res",variant2)
S05_M3_B22_Tr_hv_P_res.set_writable(True)
S05_M3_B22_Tr_hv_Q_res =S05.add_variable(addspace,"S05_M3_B22_Tr_hv_Q_res",variant2)
S05_M3_B22_Tr_hv_Q_res.set_writable(True)
S05_M3_B22_Tr_Ld_res =S05.add_variable(addspace,"S05_M3_B22_Tr_Ld_res",variant2)
S05_M3_B22_Tr_Ld_res.set_writable(True)
S05_M3_B22_Tr_lv_P_res =S05.add_variable(addspace,"S05_M3_B22_Tr_lv_P_res",variant2)
S05_M3_B22_Tr_lv_P_res.set_writable(True)
S05_M3_B22_Tr_lv_Q_res =S05.add_variable(addspace,"S05_M3_B22_Tr_lv_Q_res",variant2)
S05_M3_B22_Tr_lv_Q_res.set_writable(True)
S05_M3_B22_Tr_tap =S05.add_variable(addspace,"S05_M3_B22_Tr_tap",variant2)
S05_M3_B22_Tr_tap.set_writable(True)
S05_M3_B22_Tr_tap_ctrl =S05.add_variable(addspace,"S05_M3_B22_Tr_tap_ctrl",variant)
S05_M3_B22_Tr_tap_ctrl.set_writable(True)
S05_M3_B22_Tr_tap_mode =S05.add_variable(addspace,"S05_M3_B22_Tr_tap_mode",variant)
S05_M3_B22_Tr_tap_mode.set_writable(True)
S05_M3_B22_Tr_tap_res =S05.add_variable(addspace,"S05_M3_B22_Tr_tap_res",variant)
S05_M3_B22_Tr_tap_res.set_writable(True)
S05_M3_B22_Tr_V_res =S05.add_variable(addspace,"S05_M3_B22_Tr_V_res",variant2)
S05_M3_B22_Tr_V_res.set_writable(True)
S06_M1_B23_Li_23_24_CB_ctrl =S06.add_variable(addspace,"S06_M1_B23_Li_23_24_CB_ctrl",variant)
S06_M1_B23_Li_23_24_CB_ctrl.set_writable(True)
S06_M1_B23_Li_23_24_CB_res =S06.add_variable(addspace,"S06_M1_B23_Li_23_24_CB_res",variant)
S06_M1_B23_Li_23_24_CB_res.set_writable(True)
S06_M1_B23_Li_23_24_I_res =S06.add_variable(addspace,"S06_M1_B23_Li_23_24_I_res",variant2)
S06_M1_B23_Li_23_24_I_res.set_writable(True)
S06_M1_B23_Li_23_24_P_res =S06.add_variable(addspace,"S06_M1_B23_Li_23_24_P_res",variant2)
S06_M1_B23_Li_23_24_P_res.set_writable(True)
S06_M1_B23_Li_23_24_Q_res =S06.add_variable(addspace,"S06_M1_B23_Li_23_24_Q_res",variant2)
S06_M1_B23_Li_23_24_Q_res.set_writable(True)
S06_M1_B23_Li_23_24_V_res =S06.add_variable(addspace,"S06_M1_B23_Li_23_24_V_res",variant2)
S06_M1_B23_Li_23_24_V_res.set_writable(True)
S06_M2_B23_Li_22_23_CB_ctrl =S06.add_variable(addspace,"S06_M2_B23_Li_22_23_CB_ctrl",variant)
S06_M2_B23_Li_22_23_CB_ctrl.set_writable(True)
S06_M2_B23_Li_22_23_CB_res =S06.add_variable(addspace,"S06_M2_B23_Li_22_23_CB_res",variant)
S06_M2_B23_Li_22_23_CB_res.set_writable(True)
S06_M2_B23_Li_22_23_I_res =S06.add_variable(addspace,"S06_M2_B23_Li_22_23_I_res",variant2)
S06_M2_B23_Li_22_23_I_res.set_writable(True)
S06_M2_B23_Li_22_23_P_res =S06.add_variable(addspace,"S06_M2_B23_Li_22_23_P_res",variant2)
S06_M2_B23_Li_22_23_P_res.set_writable(True)
S06_M2_B23_Li_22_23_Q_res =S06.add_variable(addspace,"S06_M2_B23_Li_22_23_Q_res",variant2)
S06_M2_B23_Li_22_23_Q_res.set_writable(True)
S06_M2_B23_Li_22_23_V_res =S06.add_variable(addspace,"S06_M2_B23_Li_22_23_V_res",variant2)
S06_M2_B23_Li_22_23_V_res.set_writable(True)
S06_M3_B23_Ld_V_res =S06.add_variable(addspace,"S06_M3_B23_Ld_V_res",variant2)
S06_M3_B23_Ld_V_res.set_writable(True)
S06_M3_B23_Tr_CB_ctrl =S06.add_variable(addspace,"S06_M3_B23_Tr_CB_ctrl",variant)
S06_M3_B23_Tr_CB_ctrl.set_writable(True)
S06_M3_B23_Tr_CB_res =S06.add_variable(addspace,"S06_M3_B23_Tr_CB_res",variant)
S06_M3_B23_Tr_CB_res.set_writable(True)
S06_M3_B23_Tr_f_res =S06.add_variable(addspace,"S06_M3_B23_Tr_f_res",variant2)
S06_M3_B23_Tr_f_res.set_writable(True)
S06_M3_B23_Tr_hv_P_res =S06.add_variable(addspace,"S06_M3_B23_Tr_hv_P_res",variant2)
S06_M3_B23_Tr_hv_P_res.set_writable(True)
S06_M3_B23_Tr_hv_Q_res =S06.add_variable(addspace,"S06_M3_B23_Tr_hv_Q_res",variant2)
S06_M3_B23_Tr_hv_Q_res.set_writable(True)
S06_M3_B23_Tr_Ld_res =S06.add_variable(addspace,"S06_M3_B23_Tr_Ld_res",variant2)
S06_M3_B23_Tr_Ld_res.set_writable(True)
S06_M3_B23_Tr_lv_P_res =S06.add_variable(addspace,"S06_M3_B23_Tr_lv_P_res",variant2)
S06_M3_B23_Tr_lv_P_res.set_writable(True)
S06_M3_B23_Tr_lv_Q_res =S06.add_variable(addspace,"S06_M3_B23_Tr_lv_Q_res",variant2)
S06_M3_B23_Tr_lv_Q_res.set_writable(True)
S06_M3_B23_Tr_tap =S06.add_variable(addspace,"S06_M3_B23_Tr_tap",variant)
S06_M3_B23_Tr_tap.set_writable(True)
S06_M3_B23_Tr_tap_ctrl =S06.add_variable(addspace,"S06_M3_B23_Tr_tap_ctrl",variant)
S06_M3_B23_Tr_tap_ctrl.set_writable(True)
S06_M3_B23_Tr_tap_mode =S06.add_variable(addspace,"S06_M3_B23_Tr_tap_mode",variant)
S06_M3_B23_Tr_tap_mode.set_writable(True)
S06_M3_B23_Tr_tap_res =S06.add_variable(addspace,"S06_M3_B23_Tr_tap_res",variant)
S06_M3_B23_Tr_tap_res.set_writable(True)
S06_M4_B23_Ld_CB_ctrl =S06.add_variable(addspace,"S06_M4_B23_Ld_CB_ctrl",variant)
S06_M4_B23_Ld_CB_ctrl.set_writable(True)
S06_M4_B23_Ld_CB_res =S06.add_variable(addspace,"S06_M4_B23_Ld_CB_res",variant)
S06_M4_B23_Ld_CB_res.set_writable(True)
S06_M4_B23_Ld_I_res =S06.add_variable(addspace,"S06_M4_B23_Ld_I_res",variant2)
S06_M4_B23_Ld_I_res.set_writable(True)
S06_M4_B23_Ld_P_res =S06.add_variable(addspace,"S06_M4_B23_Ld_P_res",variant2)
S06_M4_B23_Ld_P_res.set_writable(True)
S06_M4_B23_Ld_Q_res =S06.add_variable(addspace,"S06_M4_B23_Ld_Q_res",variant2)
S06_M4_B23_Ld_Q_res.set_writable(True)
S06_M4_B23_Tr_V_res =S06.add_variable(addspace,"S06_M4_B23_Tr_V_res",variant2)
S06_M4_B23_Tr_V_res.set_writable(True)
S06_M5_B36_Tr_CB_ctrl =S06.add_variable(addspace,"S06_M5_B36_Tr_CB_ctrl",variant)
S06_M5_B36_Tr_CB_ctrl.set_writable(True)
S06_M5_B36_Tr_CB_res =S06.add_variable(addspace,"S06_M5_B36_Tr_CB_res",variant)
S06_M5_B36_Tr_CB_res.set_writable(True)
S06_M6_B36_G7_CB_ctrl =S06.add_variable(addspace,"S06_M6_B36_G7_CB_ctrl",variant)
S06_M6_B36_G7_CB_ctrl.set_writable(True)
S06_M6_B36_G7_CB_res =S06.add_variable(addspace,"S06_M6_B36_G7_CB_res",variant)
S06_M6_B36_G7_CB_res.set_writable(True)
S06_M6_B36_G7_f_res =S06.add_variable(addspace,"S06_M6_B36_G7_f_res",variant2)
S06_M6_B36_G7_f_res.set_writable(True)
S06_M6_B36_G7_Ld_res =S06.add_variable(addspace,"S06_M6_B36_G7_Ld_res",variant2)
S06_M6_B36_G7_Ld_res.set_writable(True)
S06_M6_B36_G7_P_ctrl =S06.add_variable(addspace,"S06_M6_B36_G7_P_ctrl",variant2)
S06_M6_B36_G7_P_ctrl.set_writable(True)
S06_M6_B36_G7_P_res =S06.add_variable(addspace,"S06_M6_B36_G7_P_res",variant2)
S06_M6_B36_G7_P_res.set_writable(True)
S06_M6_B36_G7_Q_res =S06.add_variable(addspace,"S06_M6_B36_G7_Q_res",variant2)
S06_M6_B36_G7_Q_res.set_writable(True)
S06_M6_B36_G7_V_ctrl =S06.add_variable(addspace,"S06_M6_B36_G7_V_ctrl",variant2)
S06_M6_B36_G7_V_ctrl.set_writable(True)
S06_M6_B36_G7_V_res =S06.add_variable(addspace,"S06_M6_B36_G7_V_res",variant2)
S06_M6_B36_G7_V_res.set_writable(True)
S07_M1_B19_Li_16_19_CB_ctrl =S07.add_variable(addspace,"S07_M1_B19_Li_16_19_CB_ctrl",variant)
S07_M1_B19_Li_16_19_CB_ctrl.set_writable(True)
S07_M1_B19_Li_16_19_CB_res =S07.add_variable(addspace,"S07_M1_B19_Li_16_19_CB_res",variant)
S07_M1_B19_Li_16_19_CB_res.set_writable(True)
S07_M1_B19_Li_16_19_I_res =S07.add_variable(addspace,"S07_M1_B19_Li_16_19_I_res",variant2)
S07_M1_B19_Li_16_19_I_res.set_writable(True)
S07_M1_B19_Li_16_19_P_res =S07.add_variable(addspace,"S07_M1_B19_Li_16_19_P_res",variant2)
S07_M1_B19_Li_16_19_P_res.set_writable(True)
S07_M1_B19_Li_16_19_Q_res =S07.add_variable(addspace,"S07_M1_B19_Li_16_19_Q_res",variant2)
S07_M1_B19_Li_16_19_Q_res.set_writable(True)
S07_M1_B19_Li_16_19_V_res =S07.add_variable(addspace,"S07_M1_B19_Li_16_19_V_res",variant2)
S07_M1_B19_Li_16_19_V_res.set_writable(True)
S07_M10_B34_G5_CB_ctrl =S07.add_variable(addspace,"S07_M10_B34_G5_CB_ctrl",variant)
S07_M10_B34_G5_CB_ctrl.set_writable(True)
S07_M10_B34_G5_CB_res =S07.add_variable(addspace,"S07_M10_B34_G5_CB_res",variant)
S07_M10_B34_G5_CB_res.set_writable(True)
S07_M10_B34_G5_f_res =S07.add_variable(addspace,"S07_M10_B34_G5_f_res",variant2)
S07_M10_B34_G5_f_res.set_writable(True)
S07_M10_B34_G5_Ld_res =S07.add_variable(addspace,"S07_M10_B34_G5_Ld_res",variant2)
S07_M10_B34_G5_Ld_res.set_writable(True)
S07_M10_B34_G5_P_ctrl =S07.add_variable(addspace,"S07_M10_B34_G5_P_ctrl",variant2)
S07_M10_B34_G5_P_ctrl.set_writable(True)
S07_M10_B34_G5_P_res =S07.add_variable(addspace,"S07_M10_B34_G5_P_res",variant2)
S07_M10_B34_G5_P_res.set_writable(True)
S07_M10_B34_G5_Q_res =S07.add_variable(addspace,"S07_M10_B34_G5_Q_res",variant2)
S07_M10_B34_G5_Q_res.set_writable(True)
S07_M10_B34_G5_V_ctrl =S07.add_variable(addspace,"S07_M10_B34_G5_V_ctrl",variant2)
S07_M10_B34_G5_V_ctrl.set_writable(True)
S07_M10_B34_G5_V_res =S07.add_variable(addspace,"S07_M10_B34_G5_V_res",variant2)
S07_M10_B34_G5_V_res.set_writable(True)
S07_M2_B19_Tr_19_33_CB_ctrl =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_CB_ctrl",variant)
S07_M2_B19_Tr_19_33_CB_ctrl.set_writable(True)
S07_M2_B19_Tr_19_33_CB_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_CB_res",variant)
S07_M2_B19_Tr_19_33_CB_res.set_writable(True)
S07_M2_B19_Tr_19_33_f_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_f_res",variant2)
S07_M2_B19_Tr_19_33_f_res.set_writable(True)
S07_M2_B19_Tr_19_33_hv_P_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_hv_P_res",variant2)
S07_M2_B19_Tr_19_33_hv_P_res.set_writable(True)
S07_M2_B19_Tr_19_33_hv_Q_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_hv_Q_res",variant2)
S07_M2_B19_Tr_19_33_hv_Q_res.set_writable(True)
S07_M2_B19_Tr_19_33_Ld_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_Ld_res",variant2)
S07_M2_B19_Tr_19_33_Ld_res.set_writable(True)
S07_M2_B19_Tr_19_33_lv_P_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_lv_P_res",variant2)
S07_M2_B19_Tr_19_33_lv_P_res.set_writable(True)
S07_M2_B19_Tr_19_33_lv_Q_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_lv_Q_res",variant2)
S07_M2_B19_Tr_19_33_lv_Q_res.set_writable(True)
S07_M2_B19_Tr_19_33_tap =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_tap",variant2)
S07_M2_B19_Tr_19_33_tap.set_writable(True)
S07_M2_B19_Tr_19_33_tap_ctrl =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_tap_ctrl",variant2)
S07_M2_B19_Tr_19_33_tap_ctrl.set_writable(True)
S07_M2_B19_Tr_19_33_tap_mode =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_tap_mode",variant2)
S07_M2_B19_Tr_19_33_tap_mode.set_writable(True)
S07_M2_B19_Tr_19_33_tap_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_tap_res",variant2)
S07_M2_B19_Tr_19_33_tap_res.set_writable(True)
S07_M2_B19_Tr_19_33_V_res =S07.add_variable(addspace,"S07_M2_B19_Tr_19_33_V_res",variant2)
S07_M2_B19_Tr_19_33_V_res.set_writable(True)
S07_M3_B19_Tr_19_20_CB_ctrl =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_CB_ctrl",variant)
S07_M3_B19_Tr_19_20_CB_ctrl.set_writable(True)
S07_M3_B19_Tr_19_20_CB_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_CB_res",variant)
S07_M3_B19_Tr_19_20_CB_res.set_writable(True)
S07_M3_B19_Tr_19_20_f_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_f_res",variant2)
S07_M3_B19_Tr_19_20_f_res.set_writable(True)
S07_M3_B19_Tr_19_20_hv_P_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_hv_P_res",variant2)
S07_M3_B19_Tr_19_20_hv_P_res.set_writable(True)
S07_M3_B19_Tr_19_20_hv_Q_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_hv_Q_res",variant2)
S07_M3_B19_Tr_19_20_hv_Q_res.set_writable(True)
S07_M3_B19_Tr_19_20_Ld_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_Ld_res",variant2)
S07_M3_B19_Tr_19_20_Ld_res.set_writable(True)
S07_M3_B19_Tr_19_20_lv_P_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_lv_P_res",variant2)
S07_M3_B19_Tr_19_20_lv_P_res.set_writable(True)
S07_M3_B19_Tr_19_20_lv_Q_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_lv_Q_res",variant2)
S07_M3_B19_Tr_19_20_lv_Q_res.set_writable(True)
S07_M3_B19_Tr_19_20_tap =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_tap",variant2)
S07_M3_B19_Tr_19_20_tap.set_writable(True)
S07_M3_B19_Tr_19_20_tap_ctrl =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_tap_ctrl",variant2)
S07_M3_B19_Tr_19_20_tap_ctrl.set_writable(True)
S07_M3_B19_Tr_19_20_tap_mode =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_tap_mode",variant2)
S07_M3_B19_Tr_19_20_tap_mode.set_writable(True)
S07_M3_B19_Tr_19_20_tap_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_tap_res",variant2)
S07_M3_B19_Tr_19_20_tap_res.set_writable(True)
S07_M3_B19_Tr_19_20_V_res =S07.add_variable(addspace,"S07_M3_B19_Tr_19_20_V_res",variant2)
S07_M3_B19_Tr_19_20_V_res.set_writable(True)
S07_M4_B20_Tr_CB_ctrl =S07.add_variable(addspace,"S07_M4_B20_Tr_CB_ctrl",variant)
S07_M4_B20_Tr_CB_ctrl.set_writable(True)
S07_M4_B20_Tr_CB_res =S07.add_variable(addspace,"S07_M4_B20_Tr_CB_res",variant)
S07_M4_B20_Tr_CB_res.set_writable(True)
S07_M4_B20_Tr_hv_P_res =S07.add_variable(addspace,"S07_M4_B20_Tr_hv_P_res",variant2)
S07_M4_B20_Tr_hv_P_res.set_writable(True)
S07_M4_B20_Tr_hv_Q_res =S07.add_variable(addspace,"S07_M4_B20_Tr_hv_Q_res",variant2)
S07_M4_B20_Tr_hv_Q_res.set_writable(True)
S07_M4_B20_Tr_Ld_res =S07.add_variable(addspace,"S07_M4_B20_Tr_Ld_res",variant2)
S07_M4_B20_Tr_Ld_res.set_writable(True)
S07_M4_B20_Tr_lv_P_res =S07.add_variable(addspace,"S07_M4_B20_Tr_lv_P_res",variant2)
S07_M4_B20_Tr_lv_P_res.set_writable(True)
S07_M4_B20_Tr_lv_Q_res =S07.add_variable(addspace,"S07_M4_B20_Tr_lv_Q_res",variant2)
S07_M4_B20_Tr_lv_Q_res.set_writable(True)
S07_M4_B20_Tr_tap_ctrl =S07.add_variable(addspace,"S07_M4_B20_Tr_tap_ctrl",variant)
S07_M4_B20_Tr_tap_ctrl.set_writable(True)
S07_M4_B20_Tr_tap_mode =S07.add_variable(addspace,"S07_M4_B20_Tr_tap_mode",variant)
S07_M4_B20_Tr_tap_mode.set_writable(True)
S07_M4_B20_Tr_tap_res =S07.add_variable(addspace,"S07_M4_B20_Tr_tap_res",variant)
S07_M4_B20_Tr_tap_res.set_writable(True)
S07_M5_B20_Tr_19_20_CB_ctrl =S07.add_variable(addspace,"S07_M5_B20_Tr_19_20_CB_ctrl",variant)
S07_M5_B20_Tr_19_20_CB_ctrl.set_writable(True)
S07_M5_B20_Tr_19_20_CB_res =S07.add_variable(addspace,"S07_M5_B20_Tr_19_20_CB_res",variant)
S07_M5_B20_Tr_19_20_CB_res.set_writable(True)
S07_M6_B20_Ld20_CB_ctrl =S07.add_variable(addspace,"S07_M6_B20_Ld20_CB_ctrl",variant)
S07_M6_B20_Ld20_CB_ctrl.set_writable(True)
S07_M6_B20_Ld20_CB_res =S07.add_variable(addspace,"S07_M6_B20_Ld20_CB_res",variant)
S07_M6_B20_Ld20_CB_res.set_writable(True)
S07_M6_B20_Ld20_f_res =S07.add_variable(addspace,"S07_M6_B20_Ld20_f_res",variant2)
S07_M6_B20_Ld20_f_res.set_writable(True)
S07_M6_B20_Ld20_I_res =S07.add_variable(addspace,"S07_M6_B20_Ld20_I_res",variant2)
S07_M6_B20_Ld20_I_res.set_writable(True)
S07_M6_B20_Ld20_P_res =S07.add_variable(addspace,"S07_M6_B20_Ld20_P_res",variant2)
S07_M6_B20_Ld20_P_res.set_writable(True)
S07_M6_B20_Ld20_Q_res =S07.add_variable(addspace,"S07_M6_B20_Ld20_Q_res",variant2)
S07_M6_B20_Ld20_Q_res.set_writable(True)
S07_M6_B20_Ld20_V_res =S07.add_variable(addspace,"S07_M6_B20_Ld20_V_res",variant2)
S07_M6_B20_Ld20_V_res.set_writable(True)
S07_M7_B20_Tr_CB_ctrl =S07.add_variable(addspace,"S07_M7_B20_Tr_CB_ctrl",variant)
S07_M7_B20_Tr_CB_ctrl.set_writable(True)
S07_M7_B20_Tr_CB_res =S07.add_variable(addspace,"S07_M7_B20_Tr_CB_res",variant)
S07_M7_B20_Tr_CB_res.set_writable(True)
S07_M7_B20_Tr_f_res =S07.add_variable(addspace,"S07_M7_B20_Tr_f_res",variant2)
S07_M7_B20_Tr_f_res.set_writable(True)
S07_M7_B20_Tr_tap =S07.add_variable(addspace,"S07_M7_B20_Tr_tap",variant)
S07_M7_B20_Tr_tap.set_writable(True)
S07_M7_B20_Tr_V_res =S07.add_variable(addspace,"S07_M7_B20_Tr_V_res",variant2)
S07_M7_B20_Tr_V_res.set_writable(True)
S07_M8_B33_G4_CB_ctrl =S07.add_variable(addspace,"S07_M8_B33_G4_CB_ctrl",variant)
S07_M8_B33_G4_CB_ctrl.set_writable(True)
S07_M8_B33_G4_CB_res =S07.add_variable(addspace,"S07_M8_B33_G4_CB_res",variant)
S07_M8_B33_G4_CB_res.set_writable(True)
S07_M8_B33_G4_f_res =S07.add_variable(addspace,"S07_M8_B33_G4_f_res",variant2)
S07_M8_B33_G4_f_res.set_writable(True)
S07_M8_B33_G4_Ld_res =S07.add_variable(addspace,"S07_M8_B33_G4_Ld_res",variant2)
S07_M8_B33_G4_Ld_res.set_writable(True)
S07_M8_B33_G4_P_ctrl =S07.add_variable(addspace,"S07_M8_B33_G4_P_ctrl",variant2)
S07_M8_B33_G4_P_ctrl.set_writable(True)
S07_M8_B33_G4_P_res =S07.add_variable(addspace,"S07_M8_B33_G4_P_res",variant2)
S07_M8_B33_G4_P_res.set_writable(True)
S07_M8_B33_G4_Q_res =S07.add_variable(addspace,"S07_M8_B33_G4_Q_res",variant2)
S07_M8_B33_G4_Q_res.set_writable(True)
S07_M8_B33_G4_V_ctrl =S07.add_variable(addspace,"S07_M8_B33_G4_V_ctrl",variant2)
S07_M8_B33_G4_V_ctrl.set_writable(True)
S07_M8_B33_G4_V_res =S07.add_variable(addspace,"S07_M8_B33_G4_V_res",variant2)
S07_M8_B33_G4_V_res.set_writable(True)
S07_M9_B34_Tr_CB_ctrl =S07.add_variable(addspace,"S07_M9_B34_Tr_CB_ctrl",variant)
S07_M9_B34_Tr_CB_ctrl.set_writable(True)
S07_M9_B34_Tr_CB_res =S07.add_variable(addspace,"S07_M9_B34_Tr_CB_res",variant)
S07_M9_B34_Tr_CB_res.set_writable(True)
S08_M1_B10_Li_10_13_CB_ctrl =S08.add_variable(addspace,"S08_M1_B10_Li_10_13_CB_ctrl",variant)
S08_M1_B10_Li_10_13_CB_ctrl.set_writable(True)
S08_M1_B10_Li_10_13_CB_res =S08.add_variable(addspace,"S08_M1_B10_Li_10_13_CB_res",variant)
S08_M1_B10_Li_10_13_CB_res.set_writable(True)
S08_M1_B10_Li_10_13_I_res =S08.add_variable(addspace,"S08_M1_B10_Li_10_13_I_res",variant2)
S08_M1_B10_Li_10_13_I_res.set_writable(True)
S08_M1_B10_Li_10_13_P_res =S08.add_variable(addspace,"S08_M1_B10_Li_10_13_P_res",variant2)
S08_M1_B10_Li_10_13_P_res.set_writable(True)
S08_M1_B10_Li_10_13_Q_res =S08.add_variable(addspace,"S08_M1_B10_Li_10_13_Q_res",variant2)
S08_M1_B10_Li_10_13_Q_res.set_writable(True)
S08_M1_B10_Li_10_13_V_res =S08.add_variable(addspace,"S08_M1_B10_Li_10_13_V_res",variant2)
S08_M1_B10_Li_10_13_V_res.set_writable(True)
S08_M2_B10_Li_10_11_CB_ctrl =S08.add_variable(addspace,"S08_M2_B10_Li_10_11_CB_ctrl",variant)
S08_M2_B10_Li_10_11_CB_ctrl.set_writable(True)
S08_M2_B10_Li_10_11_CB_res =S08.add_variable(addspace,"S08_M2_B10_Li_10_11_CB_res",variant)
S08_M2_B10_Li_10_11_CB_res.set_writable(True)
S08_M2_B10_Li_10_11_I_res =S08.add_variable(addspace,"S08_M2_B10_Li_10_11_I_res",variant2)
S08_M2_B10_Li_10_11_I_res.set_writable(True)
S08_M2_B10_Li_10_11_P_res =S08.add_variable(addspace,"S08_M2_B10_Li_10_11_P_res",variant2)
S08_M2_B10_Li_10_11_P_res.set_writable(True)
S08_M2_B10_Li_10_11_Q_res =S08.add_variable(addspace,"S08_M2_B10_Li_10_11_Q_res",variant2)
S08_M2_B10_Li_10_11_Q_res.set_writable(True)
S08_M2_B10_Li_10_11_V_res =S08.add_variable(addspace,"S08_M2_B10_Li_10_11_V_res",variant2)
S08_M2_B10_Li_10_11_V_res.set_writable(True)
S08_M3_B10_Tr_CB_ctrl =S08.add_variable(addspace,"S08_M3_B10_Tr_CB_ctrl",variant)
S08_M3_B10_Tr_CB_ctrl.set_writable(True)
S08_M3_B10_Tr_CB_res =S08.add_variable(addspace,"S08_M3_B10_Tr_CB_res",variant)
S08_M3_B10_Tr_CB_res.set_writable(True)
S08_M4_B32_Tr_CB_ctrl =S08.add_variable(addspace,"S08_M4_B32_Tr_CB_ctrl",variant)
S08_M4_B32_Tr_CB_ctrl.set_writable(True)
S08_M4_B32_Tr_CB_res =S08.add_variable(addspace,"S08_M4_B32_Tr_CB_res",variant)
S08_M4_B32_Tr_CB_res.set_writable(True)
S08_M4_B32_Tr_f_res =S08.add_variable(addspace,"S08_M4_B32_Tr_f_res",variant2)
S08_M4_B32_Tr_f_res.set_writable(True)
S08_M4_B32_Tr_hv_P_res =S08.add_variable(addspace,"S08_M4_B32_Tr_hv_P_res",variant2)
S08_M4_B32_Tr_hv_P_res.set_writable(True)
S08_M4_B32_Tr_hv_Q_res =S08.add_variable(addspace,"S08_M4_B32_Tr_hv_Q_res",variant2)
S08_M4_B32_Tr_hv_Q_res.set_writable(True)
S08_M4_B32_Tr_Ld_res =S08.add_variable(addspace,"S08_M4_B32_Tr_Ld_res",variant2)
S08_M4_B32_Tr_Ld_res.set_writable(True)
S08_M4_B32_Tr_lv_P_res =S08.add_variable(addspace,"S08_M4_B32_Tr_lv_P_res",variant2)
S08_M4_B32_Tr_lv_P_res.set_writable(True)
S08_M4_B32_Tr_lv_Q_res =S08.add_variable(addspace,"S08_M4_B32_Tr_lv_Q_res",variant2)
S08_M4_B32_Tr_lv_Q_res.set_writable(True)
S08_M4_B32_Tr_tap =S08.add_variable(addspace,"S08_M4_B32_Tr_tap",variant)
S08_M4_B32_Tr_tap.set_writable(True)
S08_M4_B32_Tr_tap_ctrl =S08.add_variable(addspace,"S08_M4_B32_Tr_tap_ctrl",variant)
S08_M4_B32_Tr_tap_ctrl.set_writable(True)
S08_M4_B32_Tr_tap_mode =S08.add_variable(addspace,"S08_M4_B32_Tr_tap_mode",variant)
S08_M4_B32_Tr_tap_mode.set_writable(True)
S08_M4_B32_Tr_tap_res =S08.add_variable(addspace,"S08_M4_B32_Tr_tap_res",variant)
S08_M4_B32_Tr_tap_res.set_writable(True)
S08_M4_B32_Tr_V_res =S08.add_variable(addspace,"S08_M4_B32_Tr_V_res",variant2)
S08_M4_B32_Tr_V_res.set_writable(True)
S08_M5_B32_G3_CB_ctrl =S08.add_variable(addspace,"S08_M5_B32_G3_CB_ctrl",variant)
S08_M5_B32_G3_CB_ctrl.set_writable(True)
S08_M5_B32_G3_CB_res =S08.add_variable(addspace,"S08_M5_B32_G3_CB_res",variant)
S08_M5_B32_G3_CB_res.set_writable(True)
S08_M5_B32_G3_f_res =S08.add_variable(addspace,"S08_M5_B32_G3_f_res",variant2)
S08_M5_B32_G3_f_res.set_writable(True)
S08_M5_B32_G3_Ld_res =S08.add_variable(addspace,"S08_M5_B32_G3_Ld_res",variant2)
S08_M5_B32_G3_Ld_res.set_writable(True)
S08_M5_B32_G3_P_ctrl =S08.add_variable(addspace,"S08_M5_B32_G3_P_ctrl",variant2)
S08_M5_B32_G3_P_ctrl.set_writable(True)
S08_M5_B32_G3_P_res =S08.add_variable(addspace,"S08_M5_B32_G3_P_res",variant2)
S08_M5_B32_G3_P_res.set_writable(True)
S08_M5_B32_G3_Q_res =S08.add_variable(addspace,"S08_M5_B32_G3_Q_res",variant2)
S08_M5_B32_G3_Q_res.set_writable(True)
S08_M5_B32_G3_V_ctrl =S08.add_variable(addspace,"S08_M5_B32_G3_V_ctrl",variant2)
S08_M5_B32_G3_V_ctrl.set_writable(True)
S08_M5_B32_G3_V_res =S08.add_variable(addspace,"S08_M5_B32_G3_V_res",variant2)
S08_M5_B32_G3_V_res.set_writable(True)
S09_M1_B06_Li_06_07_CB_ctrl =S09.add_variable(addspace,"S09_M1_B06_Li_06_07_CB_ctrl",variant)
S09_M1_B06_Li_06_07_CB_ctrl.set_writable(True)
S09_M1_B06_Li_06_07_CB_res =S09.add_variable(addspace,"S09_M1_B06_Li_06_07_CB_res",variant)
S09_M1_B06_Li_06_07_CB_res.set_writable(True)
S09_M1_B06_Li_06_07_I_res =S09.add_variable(addspace,"S09_M1_B06_Li_06_07_I_res",variant2)
S09_M1_B06_Li_06_07_I_res.set_writable(True)
S09_M1_B06_Li_06_07_P_res =S09.add_variable(addspace,"S09_M1_B06_Li_06_07_P_res",variant2)
S09_M1_B06_Li_06_07_P_res.set_writable(True)
S09_M1_B06_Li_06_07_Q_res =S09.add_variable(addspace,"S09_M1_B06_Li_06_07_Q_res",variant2)
S09_M1_B06_Li_06_07_Q_res.set_writable(True)
S09_M1_B06_Li_06_07_V_res =S09.add_variable(addspace,"S09_M1_B06_Li_06_07_V_res",variant2)
S09_M1_B06_Li_06_07_V_res.set_writable(True)
S09_M2_B06_Li_05_06_CB_ctrl =S09.add_variable(addspace,"S09_M2_B06_Li_05_06_CB_ctrl",variant)
S09_M2_B06_Li_05_06_CB_ctrl.set_writable(True)
S09_M2_B06_Li_05_06_CB_res =S09.add_variable(addspace,"S09_M2_B06_Li_05_06_CB_res",variant)
S09_M2_B06_Li_05_06_CB_res.set_writable(True)
S09_M2_B06_Li_05_06_I_res =S09.add_variable(addspace,"S09_M2_B06_Li_05_06_I_res",variant2)
S09_M2_B06_Li_05_06_I_res.set_writable(True)
S09_M2_B06_Li_05_06_P_res =S09.add_variable(addspace,"S09_M2_B06_Li_05_06_P_res",variant2)
S09_M2_B06_Li_05_06_P_res.set_writable(True)
S09_M2_B06_Li_05_06_Q_res =S09.add_variable(addspace,"S09_M2_B06_Li_05_06_Q_res",variant2)
S09_M2_B06_Li_05_06_Q_res.set_writable(True)
S09_M2_B06_Li_05_06_V_res =S09.add_variable(addspace,"S09_M2_B06_Li_05_06_V_res",variant2)
S09_M2_B06_Li_05_06_V_res.set_writable(True)
S09_M3_B06_Li_06_11_CB_ctrl =S09.add_variable(addspace,"S09_M3_B06_Li_06_11_CB_ctrl",variant)
S09_M3_B06_Li_06_11_CB_ctrl.set_writable(True)
S09_M3_B06_Li_06_11_CB_res =S09.add_variable(addspace,"S09_M3_B06_Li_06_11_CB_res",variant)
S09_M3_B06_Li_06_11_CB_res.set_writable(True)
S09_M3_B06_Li_06_11_I_res =S09.add_variable(addspace,"S09_M3_B06_Li_06_11_I_res",variant2)
S09_M3_B06_Li_06_11_I_res.set_writable(True)
S09_M3_B06_Li_06_11_P_res =S09.add_variable(addspace,"S09_M3_B06_Li_06_11_P_res",variant2)
S09_M3_B06_Li_06_11_P_res.set_writable(True)
S09_M3_B06_Li_06_11_Q_res =S09.add_variable(addspace,"S09_M3_B06_Li_06_11_Q_res",variant2)
S09_M3_B06_Li_06_11_Q_res.set_writable(True)
S09_M3_B06_Li_06_11_V_res =S09.add_variable(addspace,"S09_M3_B06_Li_06_11_V_res",variant2)
S09_M3_B06_Li_06_11_V_res.set_writable(True)
S09_M4_B06_Tr_CB_ctrl =S09.add_variable(addspace,"S09_M4_B06_Tr_CB_ctrl",variant)
S09_M4_B06_Tr_CB_ctrl.set_writable(True)
S09_M4_B06_Tr_CB_res =S09.add_variable(addspace,"S09_M4_B06_Tr_CB_res",variant)
S09_M4_B06_Tr_CB_res.set_writable(True)
S09_M5_B31_Tr_CB_ctrl =S09.add_variable(addspace,"S09_M5_B31_Tr_CB_ctrl",variant)
S09_M5_B31_Tr_CB_ctrl.set_writable(True)
S09_M5_B31_Tr_CB_res =S09.add_variable(addspace,"S09_M5_B31_Tr_CB_res",variant)
S09_M5_B31_Tr_CB_res.set_writable(True)
S09_M5_B31_Tr_f_res =S09.add_variable(addspace,"S09_M5_B31_Tr_f_res",variant2)
S09_M5_B31_Tr_f_res.set_writable(True)
S09_M5_B31_Tr_hv_P_res =S09.add_variable(addspace,"S09_M5_B31_Tr_hv_P_res",variant2)
S09_M5_B31_Tr_hv_P_res.set_writable(True)
S09_M5_B31_Tr_hv_Q_res =S09.add_variable(addspace,"S09_M5_B31_Tr_hv_Q_res",variant2)
S09_M5_B31_Tr_hv_Q_res.set_writable(True)
S09_M5_B31_Tr_Ld_res =S09.add_variable(addspace,"S09_M5_B31_Tr_Ld_res",variant2)
S09_M5_B31_Tr_Ld_res.set_writable(True)
S09_M5_B31_Tr_lv_P_res =S09.add_variable(addspace,"S09_M5_B31_Tr_lv_P_res",variant2)
S09_M5_B31_Tr_lv_P_res.set_writable(True)
S09_M5_B31_Tr_lv_Q_res =S09.add_variable(addspace,"S09_M5_B31_Tr_lv_Q_res",variant2)
S09_M5_B31_Tr_lv_Q_res.set_writable(True)
S09_M5_B31_Tr_tap =S09.add_variable(addspace,"S09_M5_B31_Tr_tap",variant)
S09_M5_B31_Tr_tap.set_writable(True)
S09_M5_B31_Tr_tap_ctrl =S09.add_variable(addspace,"S09_M5_B31_Tr_tap_ctrl",variant)
S09_M5_B31_Tr_tap_ctrl.set_writable(True)
S09_M5_B31_Tr_tap_mode =S09.add_variable(addspace,"S09_M5_B31_Tr_tap_mode",variant)
S09_M5_B31_Tr_tap_mode.set_writable(True)
S09_M5_B31_Tr_tap_res =S09.add_variable(addspace,"S09_M5_B31_Tr_tap_res",variant)
S09_M5_B31_Tr_tap_res.set_writable(True)
S09_M5_B31_Tr_V_res =S09.add_variable(addspace,"S09_M5_B31_Tr_V_res",variant2)
S09_M5_B31_Tr_V_res.set_writable(True)
S09_M6_Ld31_CB_ctrl =S09.add_variable(addspace,"S09_M6_Ld31_CB_ctrl",variant)
S09_M6_Ld31_CB_ctrl.set_writable(True)
S09_M6_Ld31_CB_res =S09.add_variable(addspace,"S09_M6_Ld31_CB_res",variant)
S09_M6_Ld31_CB_res.set_writable(True)
S09_M6_Ld31_I_res =S09.add_variable(addspace,"S09_M6_Ld31_I_res",variant2)
S09_M6_Ld31_I_res.set_writable(True)
S09_M6_Ld31_P_res =S09.add_variable(addspace,"S09_M6_Ld31_P_res",variant2)
S09_M6_Ld31_P_res.set_writable(True)
S09_M6_Ld31_Q_res =S09.add_variable(addspace,"S09_M6_Ld31_Q_res",variant2)
S09_M6_Ld31_Q_res.set_writable(True)
S09_M6_Ld31_V_res =S09.add_variable(addspace,"S09_M6_Ld31_V_res",variant2)
S09_M6_Ld31_V_res.set_writable(True)
S09_M7_G2_CB_ctrl =S09.add_variable(addspace,"S09_M7_G2_CB_ctrl",variant)
S09_M7_G2_CB_ctrl.set_writable(True)
S09_M7_G2_CB_res =S09.add_variable(addspace,"S09_M7_G2_CB_res",variant)
S09_M7_G2_CB_res.set_writable(True)
S09_M7_G2_f_res =S09.add_variable(addspace,"S09_M7_G2_f_res",variant2)
S09_M7_G2_f_res.set_writable(True)
S09_M7_G2_Ld_res =S09.add_variable(addspace,"S09_M7_G2_Ld_res",variant2)
S09_M7_G2_Ld_res.set_writable(True)
S09_M7_G2_P_res =S09.add_variable(addspace,"S09_M7_G2_P_res",variant2)
S09_M7_G2_P_res.set_writable(True)
S09_M7_G2_Q_res =S09.add_variable(addspace,"S09_M7_G2_Q_res",variant2)
S09_M7_G2_Q_res.set_writable(True)
S09_M7_G2_V_ctrl =S09.add_variable(addspace,"S09_M7_G2_V_ctrl",variant2)
S09_M7_G2_V_ctrl.set_writable(True)
S09_M7_G2_V_res =S09.add_variable(addspace,"S09_M7_G2_V_res",variant2)
S09_M7_G2_V_res.set_writable(True)
S10_M1_B09_Li_09_39_CB_ctrl =S10.add_variable(addspace,"S10_M1_B09_Li_09_39_CB_ctrl",variant)
S10_M1_B09_Li_09_39_CB_ctrl.set_writable(True)
S10_M1_B09_Li_09_39_CB_res =S10.add_variable(addspace,"S10_M1_B09_Li_09_39_CB_res",variant2)
S10_M1_B09_Li_09_39_CB_res.set_writable(True)
S10_M1_B09_Li_09_39_f_res =S10.add_variable(addspace,"S10_M1_B09_Li_09_39_f_res",variant2)
S10_M1_B09_Li_09_39_f_res.set_writable(True)
S10_M1_B09_Li_09_39_I_res =S10.add_variable(addspace,"S10_M1_B09_Li_09_39_I_res",variant2)
S10_M1_B09_Li_09_39_I_res.set_writable(True)
S10_M1_B09_Li_09_39_P_res =S10.add_variable(addspace,"S10_M1_B09_Li_09_39_P_res",variant2)
S10_M1_B09_Li_09_39_P_res.set_writable(True)
S10_M1_B09_Li_09_39_Q_res =S10.add_variable(addspace,"S10_M1_B09_Li_09_39_Q_res",variant2)
S10_M1_B09_Li_09_39_Q_res.set_writable(True)
S10_M1_B09_Li_09_39_V_res =S10.add_variable(addspace,"S10_M1_B09_Li_09_39_V_res",variant2)
S10_M1_B09_Li_09_39_V_res.set_writable(True)
S10_M2_B09_Li_08_09_CB_ctrl =S10.add_variable(addspace,"S10_M2_B09_Li_08_09_CB_ctrl",variant)
S10_M2_B09_Li_08_09_CB_ctrl.set_writable(True)
S10_M2_B09_Li_08_09_CB_res =S10.add_variable(addspace,"S10_M2_B09_Li_08_09_CB_res",variant2)
S10_M2_B09_Li_08_09_CB_res.set_writable(True)
S10_M2_B09_Li_08_09_I_res =S10.add_variable(addspace,"S10_M2_B09_Li_08_09_I_res",variant2)
S10_M2_B09_Li_08_09_I_res.set_writable(True)
S10_M2_B09_Li_08_09_P_res =S10.add_variable(addspace,"S10_M2_B09_Li_08_09_P_res",variant2)
S10_M2_B09_Li_08_09_P_res.set_writable(True)
S10_M2_B09_Li_08_09_Q_res =S10.add_variable(addspace,"S10_M2_B09_Li_08_09_Q_res",variant2)
S10_M2_B09_Li_08_09_Q_res.set_writable(True)
S10_M2_B09_Li_08_09_V_res =S10.add_variable(addspace,"S10_M2_B09_Li_08_09_V_res",variant2)
S10_M2_B09_Li_08_09_V_res.set_writable(True)
S11_M1_B08_Li_08_09_CB_ctrl =S11.add_variable(addspace,"S11_M1_B08_Li_08_09_CB_ctrl",variant)
S11_M1_B08_Li_08_09_CB_ctrl.set_writable(True)
S11_M1_B08_Li_08_09_CB_res =S11.add_variable(addspace,"S11_M1_B08_Li_08_09_CB_res",variant)
S11_M1_B08_Li_08_09_CB_res.set_writable(True)
S11_M1_B08_Li_08_09_I_res =S11.add_variable(addspace,"S11_M1_B08_Li_08_09_I_res",variant2)
S11_M1_B08_Li_08_09_I_res.set_writable(True)
S11_M1_B08_Li_08_09_P_res =S11.add_variable(addspace,"S11_M1_B08_Li_08_09_P_res",variant2)
S11_M1_B08_Li_08_09_P_res.set_writable(True)
S11_M1_B08_Li_08_09_Q_res =S11.add_variable(addspace,"S11_M1_B08_Li_08_09_Q_res",variant2)
S11_M1_B08_Li_08_09_Q_res.set_writable(True)
S11_M1_B08_LV_08_09_V_res =S11.add_variable(addspace,"S11_M1_B08_LV_08_09_V_res",variant2)
S11_M1_B08_LV_08_09_V_res.set_writable(True)
S11_M2_B08_Li_05_08_CB_ctrl =S11.add_variable(addspace,"S11_M2_B08_Li_05_08_CB_ctrl",variant)
S11_M2_B08_Li_05_08_CB_ctrl.set_writable(True)
S11_M2_B08_Li_05_08_CB_res =S11.add_variable(addspace,"S11_M2_B08_Li_05_08_CB_res",variant)
S11_M2_B08_Li_05_08_CB_res.set_writable(True)
S11_M2_B08_Li_05_08_I_res =S11.add_variable(addspace,"S11_M2_B08_Li_05_08_I_res",variant2)
S11_M2_B08_Li_05_08_I_res.set_writable(True)
S11_M2_B08_Li_05_08_P_res =S11.add_variable(addspace,"S11_M2_B08_Li_05_08_P_res",variant2)
S11_M2_B08_Li_05_08_P_res.set_writable(True)
S11_M2_B08_Li_05_08_Q_res =S11.add_variable(addspace,"S11_M2_B08_Li_05_08_Q_res",variant2)
S11_M2_B08_Li_05_08_Q_res.set_writable(True)
S11_M2_B08_LV_05_08_V_res =S11.add_variable(addspace,"S11_M2_B08_LV_05_08_V_res",variant2)
S11_M2_B08_LV_05_08_V_res.set_writable(True)
S11_M3_B08_Li_07_08_CB_ctrl =S11.add_variable(addspace,"S11_M3_B08_Li_07_08_CB_ctrl",variant)
S11_M3_B08_Li_07_08_CB_ctrl.set_writable(True)
S11_M3_B08_Li_07_08_CB_res =S11.add_variable(addspace,"S11_M3_B08_Li_07_08_CB_res",variant)
S11_M3_B08_Li_07_08_CB_res.set_writable(True)
S11_M3_B08_Li_07_08_I_res =S11.add_variable(addspace,"S11_M3_B08_Li_07_08_I_res",variant2)
S11_M3_B08_Li_07_08_I_res.set_writable(True)
S11_M3_B08_Li_07_08_P_res =S11.add_variable(addspace,"S11_M3_B08_Li_07_08_P_res",variant2)
S11_M3_B08_Li_07_08_P_res.set_writable(True)
S11_M3_B08_Li_07_08_Q_res =S11.add_variable(addspace,"S11_M3_B08_Li_07_08_Q_res",variant2)
S11_M3_B08_Li_07_08_Q_res.set_writable(True)
S11_M3_B08_LV_07_08_V_res =S11.add_variable(addspace,"S11_M3_B08_LV_07_08_V_res",variant2)
S11_M3_B08_LV_07_08_V_res.set_writable(True)
S11_M4_B08_Ld8_CB_ctrl =S11.add_variable(addspace,"S11_M4_B08_Ld8_CB_ctrl",variant)
S11_M4_B08_Ld8_CB_ctrl.set_writable(True)
S11_M4_B08_Ld8_CB_res =S11.add_variable(addspace,"S11_M4_B08_Ld8_CB_res",variant)
S11_M4_B08_Ld8_CB_res.set_writable(True)
S11_M4_B08_Ld8_f_res =S11.add_variable(addspace,"S11_M4_B08_Ld8_f_res",variant2)
S11_M4_B08_Ld8_f_res.set_writable(True)
S11_M4_B08_Ld8_I_res =S11.add_variable(addspace,"S11_M4_B08_Ld8_I_res",variant2)
S11_M4_B08_Ld8_I_res.set_writable(True)
S11_M4_B08_Ld8_P_res =S11.add_variable(addspace,"S11_M4_B08_Ld8_P_res",variant2)
S11_M4_B08_Ld8_P_res.set_writable(True)
S11_M4_B08_Ld8_Q_res =S11.add_variable(addspace,"S11_M4_B08_Ld8_Q_res",variant2)
S11_M4_B08_Ld8_Q_res.set_writable(True)
S11_M4_B08_Ld8_V_res =S11.add_variable(addspace,"S11_M4_B08_Ld8_V_res",variant2)
S11_M4_B08_Ld8_V_res.set_writable(True)
S12_M1_B07_Li_07_08_CB_ctrl =S12.add_variable(addspace,"S12_M1_B07_Li_07_08_CB_ctrl",variant)
S12_M1_B07_Li_07_08_CB_ctrl.set_writable(True)
S12_M1_B07_Li_07_08_CB_res =S12.add_variable(addspace,"S12_M1_B07_Li_07_08_CB_res",variant2)
S12_M1_B07_Li_07_08_CB_res.set_writable(True)
S12_M1_B07_Li_07_08_I_res =S12.add_variable(addspace,"S12_M1_B07_Li_07_08_I_res",variant2)
S12_M1_B07_Li_07_08_I_res.set_writable(True)
S12_M1_B07_Li_07_08_P_res =S12.add_variable(addspace,"S12_M1_B07_Li_07_08_P_res",variant2)
S12_M1_B07_Li_07_08_P_res.set_writable(True)
S12_M1_B07_Li_07_08_Q_res =S12.add_variable(addspace,"S12_M1_B07_Li_07_08_Q_res",variant2)
S12_M1_B07_Li_07_08_Q_res.set_writable(True)
S12_M1_B07_Li_07_08_V_res =S12.add_variable(addspace,"S12_M1_B07_Li_07_08_V_res",variant2)
S12_M1_B07_Li_07_08_V_res.set_writable(True)
S12_M2_B07_Li_06_07_CB_ctrl =S12.add_variable(addspace,"S12_M2_B07_Li_06_07_CB_ctrl",variant)
S12_M2_B07_Li_06_07_CB_ctrl.set_writable(True)
S12_M2_B07_Li_06_07_CB_res =S12.add_variable(addspace,"S12_M2_B07_Li_06_07_CB_res",variant2)
S12_M2_B07_Li_06_07_CB_res.set_writable(True)
S12_M2_B07_Li_06_07_I_res =S12.add_variable(addspace,"S12_M2_B07_Li_06_07_I_res",variant2)
S12_M2_B07_Li_06_07_I_res.set_writable(True)
S12_M2_B07_Li_06_07_P_res =S12.add_variable(addspace,"S12_M2_B07_Li_06_07_P_res",variant2)
S12_M2_B07_Li_06_07_P_res.set_writable(True)
S12_M2_B07_Li_06_07_Q_res =S12.add_variable(addspace,"S12_M2_B07_Li_06_07_Q_res",variant2)
S12_M2_B07_Li_06_07_Q_res.set_writable(True)
S12_M2_B07_Li_06_07_V_res =S12.add_variable(addspace,"S12_M2_B07_Li_06_07_V_res",variant2)
S12_M2_B07_Li_06_07_V_res.set_writable(True)
S12_M3_B07_Ld7_CB_ctrl =S12.add_variable(addspace,"S12_M3_B07_Ld7_CB_ctrl",variant)
S12_M3_B07_Ld7_CB_ctrl.set_writable(True)
S12_M3_B07_Ld7_CB_res =S12.add_variable(addspace,"S12_M3_B07_Ld7_CB_res",variant2)
S12_M3_B07_Ld7_CB_res.set_writable(True)
S12_M3_B07_Ld7_f_res =S12.add_variable(addspace,"S12_M3_B07_Ld7_f_res",variant2)
S12_M3_B07_Ld7_f_res.set_writable(True)
S12_M3_B07_Ld7_I_res =S12.add_variable(addspace,"S12_M3_B07_Ld7_I_res",variant2)
S12_M3_B07_Ld7_I_res.set_writable(True)
S12_M3_B07_Ld7_P_res =S12.add_variable(addspace,"S12_M3_B07_Ld7_P_res",variant2)
S12_M3_B07_Ld7_P_res.set_writable(True)
S12_M3_B07_Ld7_Q_res =S12.add_variable(addspace,"S12_M3_B07_Ld7_Q_res",variant2)
S12_M3_B07_Ld7_Q_res.set_writable(True)
S12_M3_B07_Ld7_V_res =S12.add_variable(addspace,"S12_M3_B07_Ld7_V_res",variant2)
S12_M3_B07_Ld7_V_res.set_writable(True)
S13_M1_B11_Li_10_11_CB_ctrl =S13.add_variable(addspace,"S13_M1_B11_Li_10_11_CB_ctrl",variant)
S13_M1_B11_Li_10_11_CB_ctrl.set_writable(True)
S13_M1_B11_Li_10_11_CB_res =S13.add_variable(addspace,"S13_M1_B11_Li_10_11_CB_res",variant)
S13_M1_B11_Li_10_11_CB_res.set_writable(True)
S13_M1_B11_Li_10_11_I_res =S13.add_variable(addspace,"S13_M1_B11_Li_10_11_I_res",variant2)
S13_M1_B11_Li_10_11_I_res.set_writable(True)
S13_M1_B11_Li_10_11_P_res =S13.add_variable(addspace,"S13_M1_B11_Li_10_11_P_res",variant2)
S13_M1_B11_Li_10_11_P_res.set_writable(True)
S13_M1_B11_Li_10_11_Q_res =S13.add_variable(addspace,"S13_M1_B11_Li_10_11_Q_res",variant2)
S13_M1_B11_Li_10_11_Q_res.set_writable(True)
S13_M1_B11_Li_10_11_V_res =S13.add_variable(addspace,"S13_M1_B11_Li_10_11_V_res",variant2)
S13_M1_B11_Li_10_11_V_res.set_writable(True)
S13_M2_B11_Li_06_11_CB_ctrl =S13.add_variable(addspace,"S13_M2_B11_Li_06_11_CB_ctrl",variant)
S13_M2_B11_Li_06_11_CB_ctrl.set_writable(True)
S13_M2_B11_Li_06_11_CB_res =S13.add_variable(addspace,"S13_M2_B11_Li_06_11_CB_res",variant)
S13_M2_B11_Li_06_11_CB_res.set_writable(True)
S13_M2_B11_Li_06_11_I_res =S13.add_variable(addspace,"S13_M2_B11_Li_06_11_I_res",variant2)
S13_M2_B11_Li_06_11_I_res.set_writable(True)
S13_M2_B11_Li_06_11_P_res =S13.add_variable(addspace,"S13_M2_B11_Li_06_11_P_res",variant2)
S13_M2_B11_Li_06_11_P_res.set_writable(True)
S13_M2_B11_Li_06_11_Q_res =S13.add_variable(addspace,"S13_M2_B11_Li_06_11_Q_res",variant2)
S13_M2_B11_Li_06_11_Q_res.set_writable(True)
S13_M2_B11_Li_06_11_V_res =S13.add_variable(addspace,"S13_M2_B11_Li_06_11_V_res",variant2)
S13_M2_B11_Li_06_11_V_res.set_writable(True)
S13_M3_B11_Tr_11_12_CB_ctrl =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_CB_ctrl",variant)
S13_M3_B11_Tr_11_12_CB_ctrl.set_writable(True)
S13_M3_B11_Tr_11_12_CB_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_CB_res",variant)
S13_M3_B11_Tr_11_12_CB_res.set_writable(True)
S13_M3_B11_Tr_11_12_f_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_f_res",variant2)
S13_M3_B11_Tr_11_12_f_res.set_writable(True)
S13_M3_B11_Tr_11_12_hv_P_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_hv_P_res",variant2)
S13_M3_B11_Tr_11_12_hv_P_res.set_writable(True)
S13_M3_B11_Tr_11_12_hv_Q_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_hv_Q_res",variant2)
S13_M3_B11_Tr_11_12_hv_Q_res.set_writable(True)
S13_M3_B11_Tr_11_12_Ld_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_Ld_res",variant2)
S13_M3_B11_Tr_11_12_Ld_res.set_writable(True)
S13_M3_B11_Tr_11_12_lv_P_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_lv_P_res",variant2)
S13_M3_B11_Tr_11_12_lv_P_res.set_writable(True)
S13_M3_B11_Tr_11_12_lv_Q_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_lv_Q_res",variant2)
S13_M3_B11_Tr_11_12_lv_Q_res.set_writable(True)
S13_M3_B11_Tr_11_12_tap =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_tap",variant2)
S13_M3_B11_Tr_11_12_tap.set_writable(True)
S13_M3_B11_Tr_11_12_tap_ctrl =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_tap_ctrl",variant)
S13_M3_B11_Tr_11_12_tap_ctrl.set_writable(True)
S13_M3_B11_Tr_11_12_tap_mode =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_tap_mode",variant)
S13_M3_B11_Tr_11_12_tap_mode.set_writable(True)
S13_M3_B11_Tr_11_12_tap_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_tap_res",variant)
S13_M3_B11_Tr_11_12_tap_res.set_writable(True)
S13_M3_B11_Tr_11_12_V_res =S13.add_variable(addspace,"S13_M3_B11_Tr_11_12_V_res",variant2)
S13_M3_B11_Tr_11_12_V_res.set_writable(True)
S13_M4_B12_Ld12_CB_ctrl =S13.add_variable(addspace,"S13_M4_B12_Ld12_CB_ctrl",variant)
S13_M4_B12_Ld12_CB_ctrl.set_writable(True)
S13_M4_B12_Ld12_CB_res =S13.add_variable(addspace,"S13_M4_B12_Ld12_CB_res",variant)
S13_M4_B12_Ld12_CB_res.set_writable(True)
S13_M4_B12_Ld12_f_res =S13.add_variable(addspace,"S13_M4_B12_Ld12_f_res",variant2)
S13_M4_B12_Ld12_f_res.set_writable(True)
S13_M4_B12_Ld12_I_res =S13.add_variable(addspace,"S13_M4_B12_Ld12_I_res",variant2)
S13_M4_B12_Ld12_I_res.set_writable(True)
S13_M4_B12_Ld12_P_res =S13.add_variable(addspace,"S13_M4_B12_Ld12_P_res",variant2)
S13_M4_B12_Ld12_P_res.set_writable(True)
S13_M4_B12_Ld12_Q_res =S13.add_variable(addspace,"S13_M4_B12_Ld12_Q_res",variant2)
S13_M4_B12_Ld12_Q_res.set_writable(True)
S13_M4_B12_Ld12_V_res =S13.add_variable(addspace,"S13_M4_B12_Ld12_V_res",variant2)
S13_M4_B12_Ld12_V_res.set_writable(True)
S13_M5_B12_Tr_11_12_CB_ctrl =S13.add_variable(addspace,"S13_M5_B12_Tr_11_12_CB_ctrl",variant)
S13_M5_B12_Tr_11_12_CB_ctrl.set_writable(True)
S13_M5_B12_Tr_11_12_CB_res =S13.add_variable(addspace,"S13_M5_B12_Tr_11_12_CB_res",variant)
S13_M5_B12_Tr_11_12_CB_res.set_writable(True)
S13_M6_B12_Tr_12_13_CB_ctrl =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_CB_ctrl",variant)
S13_M6_B12_Tr_12_13_CB_ctrl.set_writable(True)
S13_M6_B12_Tr_12_13_CB_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_CB_res",variant)
S13_M6_B12_Tr_12_13_CB_res.set_writable(True)
S13_M6_B12_Tr_12_13_f_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_f_res",variant2)
S13_M6_B12_Tr_12_13_f_res.set_writable(True)
S13_M6_B12_Tr_12_13_hv_P_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_hv_P_res",variant2)
S13_M6_B12_Tr_12_13_hv_P_res.set_writable(True)
S13_M6_B12_Tr_12_13_hv_Q_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_hv_Q_res",variant2)
S13_M6_B12_Tr_12_13_hv_Q_res.set_writable(True)
S13_M6_B12_Tr_12_13_Ld_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_Ld_res",variant2)
S13_M6_B12_Tr_12_13_Ld_res.set_writable(True)
S13_M6_B12_Tr_12_13_lv_P_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_lv_P_res",variant2)
S13_M6_B12_Tr_12_13_lv_P_res.set_writable(True)
S13_M6_B12_Tr_12_13_lv_Q_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_lv_Q_res",variant2)
S13_M6_B12_Tr_12_13_lv_Q_res.set_writable(True)
S13_M6_B12_Tr_12_13_tap =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_tap",variant)
S13_M6_B12_Tr_12_13_tap.set_writable(True)
S13_M6_B12_Tr_12_13_tap_ctrl =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_tap_ctrl",variant2)
S13_M6_B12_Tr_12_13_tap_ctrl.set_writable(True)
S13_M6_B12_Tr_12_13_tap_mode =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_tap_mode",variant2)
S13_M6_B12_Tr_12_13_tap_mode.set_writable(True)
S13_M6_B12_Tr_12_13_tap_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_tap_res",variant2)
S13_M6_B12_Tr_12_13_tap_res.set_writable(True)
S13_M6_B12_Tr_12_13_V_res =S13.add_variable(addspace,"S13_M6_B12_Tr_12_13_V_res",variant2)
S13_M6_B12_Tr_12_13_V_res.set_writable(True)
S13_M7_B13_Li_13_14_CB_ctrl =S13.add_variable(addspace,"S13_M7_B13_Li_13_14_CB_ctrl",variant)
S13_M7_B13_Li_13_14_CB_ctrl.set_writable(True)
S13_M7_B13_Li_13_14_CB_res =S13.add_variable(addspace,"S13_M7_B13_Li_13_14_CB_res",variant)
S13_M7_B13_Li_13_14_CB_res.set_writable(True)
S13_M7_B13_Li_13_14_I_res =S13.add_variable(addspace,"S13_M7_B13_Li_13_14_I_res",variant2)
S13_M7_B13_Li_13_14_I_res.set_writable(True)
S13_M7_B13_Li_13_14_P_res =S13.add_variable(addspace,"S13_M7_B13_Li_13_14_P_res",variant2)
S13_M7_B13_Li_13_14_P_res.set_writable(True)
S13_M7_B13_Li_13_14_Q_res =S13.add_variable(addspace,"S13_M7_B13_Li_13_14_Q_res",variant2)
S13_M7_B13_Li_13_14_Q_res.set_writable(True)
S13_M7_B13_Li_13_14_V_res =S13.add_variable(addspace,"S13_M7_B13_Li_13_14_V_res",variant2)
S13_M7_B13_Li_13_14_V_res.set_writable(True)
S13_M8_B13_Li_10_13_CB_ctrl =S13.add_variable(addspace,"S13_M8_B13_Li_10_13_CB_ctrl",variant)
S13_M8_B13_Li_10_13_CB_ctrl.set_writable(True)
S13_M8_B13_Li_10_13_CB_res =S13.add_variable(addspace,"S13_M8_B13_Li_10_13_CB_res",variant)
S13_M8_B13_Li_10_13_CB_res.set_writable(True)
S13_M8_B13_Li_10_13_I_res =S13.add_variable(addspace,"S13_M8_B13_Li_10_13_I_res",variant2)
S13_M8_B13_Li_10_13_I_res.set_writable(True)
S13_M8_B13_Li_10_13_P_res =S13.add_variable(addspace,"S13_M8_B13_Li_10_13_P_res",variant2)
S13_M8_B13_Li_10_13_P_res.set_writable(True)
S13_M8_B13_Li_10_13_Q_res =S13.add_variable(addspace,"S13_M8_B13_Li_10_13_Q_res",variant2)
S13_M8_B13_Li_10_13_Q_res.set_writable(True)
S13_M8_B13_Li_10_13_V_res =S13.add_variable(addspace,"S13_M8_B13_Li_10_13_V_res",variant2)
S13_M8_B13_Li_10_13_V_res.set_writable(True)
S13_M9_B13_Tr_CB_ctrl =S13.add_variable(addspace,"S13_M9_B13_Tr_CB_ctrl",variant)
S13_M9_B13_Tr_CB_ctrl.set_writable(True)
S13_M9_B13_Tr_CB_res =S13.add_variable(addspace,"S13_M9_B13_Tr_CB_res",variant)
S13_M9_B13_Tr_CB_res.set_writable(True)
S14_M1_B5_Li_05_08_CB_ctrl =S14.add_variable(addspace,"S14_M1_B5_Li_05_08_CB_ctrl",variant)
S14_M1_B5_Li_05_08_CB_ctrl.set_writable(True)
S14_M1_B5_Li_05_08_CB_res =S14.add_variable(addspace,"S14_M1_B5_Li_05_08_CB_res",variant2)
S14_M1_B5_Li_05_08_CB_res.set_writable(True)
S14_M1_B5_Li_05_08_I_res =S14.add_variable(addspace,"S14_M1_B5_Li_05_08_I_res",variant2)
S14_M1_B5_Li_05_08_I_res.set_writable(True)
S14_M1_B5_Li_05_08_P_res =S14.add_variable(addspace,"S14_M1_B5_Li_05_08_P_res",variant2)
S14_M1_B5_Li_05_08_P_res.set_writable(True)
S14_M1_B5_Li_05_08_Q_res =S14.add_variable(addspace,"S14_M1_B5_Li_05_08_Q_res",variant2)
S14_M1_B5_Li_05_08_Q_res.set_writable(True)
S14_M1_B5_Li_05_08_V_res =S14.add_variable(addspace,"S14_M1_B5_Li_05_08_V_res",variant2)
S14_M1_B5_Li_05_08_V_res.set_writable(True)
S14_M2_B5_Li_05_06_CB_ctrl =S14.add_variable(addspace,"S14_M2_B5_Li_05_06_CB_ctrl",variant)
S14_M2_B5_Li_05_06_CB_ctrl.set_writable(True)
S14_M2_B5_Li_05_06_CB_res =S14.add_variable(addspace,"S14_M2_B5_Li_05_06_CB_res",variant2)
S14_M2_B5_Li_05_06_CB_res.set_writable(True)
S14_M2_B5_Li_05_06_I_res =S14.add_variable(addspace,"S14_M2_B5_Li_05_06_I_res",variant2)
S14_M2_B5_Li_05_06_I_res.set_writable(True)
S14_M2_B5_Li_05_06_P_res =S14.add_variable(addspace,"S14_M2_B5_Li_05_06_P_res",variant2)
S14_M2_B5_Li_05_06_P_res.set_writable(True)
S14_M2_B5_Li_05_06_Q_res =S14.add_variable(addspace,"S14_M2_B5_Li_05_06_Q_res",variant2)
S14_M2_B5_Li_05_06_Q_res.set_writable(True)
S14_M2_B5_Li_05_06_V_res =S14.add_variable(addspace,"S14_M2_B5_Li_05_06_V_res",variant2)
S14_M2_B5_Li_05_06_V_res.set_writable(True)
S14_M3_B5_Li_04_05_CB_ctrl =S14.add_variable(addspace,"S14_M3_B5_Li_04_05_CB_ctrl",variant)
S14_M3_B5_Li_04_05_CB_ctrl.set_writable(True)
S14_M3_B5_Li_04_05_CB_res =S14.add_variable(addspace,"S14_M3_B5_Li_04_05_CB_res",variant2)
S14_M3_B5_Li_04_05_CB_res.set_writable(True)
S14_M3_B5_Li_04_05_I_res =S14.add_variable(addspace,"S14_M3_B5_Li_04_05_I_res",variant2)
S14_M3_B5_Li_04_05_I_res.set_writable(True)
S14_M3_B5_Li_04_05_P_res =S14.add_variable(addspace,"S14_M3_B5_Li_04_05_P_res",variant2)
S14_M3_B5_Li_04_05_P_res.set_writable(True)
S14_M3_B5_Li_04_05_Q_res =S14.add_variable(addspace,"S14_M3_B5_Li_04_05_Q_res",variant2)
S14_M3_B5_Li_04_05_Q_res.set_writable(True)
S14_M3_B5_Li_04_05_V_res =S14.add_variable(addspace,"S14_M3_B5_Li_04_05_V_res",variant2)
S14_M3_B5_Li_04_05_V_res.set_writable(True)
S15_M1_B4_Li_04_05_CB_ctrl =S15.add_variable(addspace,"S15_M1_B4_Li_04_05_CB_ctrl",variant)
S15_M1_B4_Li_04_05_CB_ctrl.set_writable(True)
S15_M1_B4_Li_04_05_CB_res =S15.add_variable(addspace,"S15_M1_B4_Li_04_05_CB_res",variant2)
S15_M1_B4_Li_04_05_CB_res.set_writable(True)
S15_M1_B4_Li_04_05_I_res =S15.add_variable(addspace,"S15_M1_B4_Li_04_05_I_res",variant2)
S15_M1_B4_Li_04_05_I_res.set_writable(True)
S15_M1_B4_Li_04_05_P_res =S15.add_variable(addspace,"S15_M1_B4_Li_04_05_P_res",variant2)
S15_M1_B4_Li_04_05_P_res.set_writable(True)
S15_M1_B4_Li_04_05_Q_res =S15.add_variable(addspace,"S15_M1_B4_Li_04_05_Q_res",variant2)
S15_M1_B4_Li_04_05_Q_res.set_writable(True)
S15_M1_B4_Li_04_05_V_res =S15.add_variable(addspace,"S15_M1_B4_Li_04_05_V_res",variant2)
S15_M1_B4_Li_04_05_V_res.set_writable(True)
S15_M2_B4_Li_03_04_CB_ctrl =S15.add_variable(addspace,"S15_M2_B4_Li_03_04_CB_ctrl",variant)
S15_M2_B4_Li_03_04_CB_ctrl.set_writable(True)
S15_M2_B4_Li_03_04_CB_res =S15.add_variable(addspace,"S15_M2_B4_Li_03_04_CB_res",variant2)
S15_M2_B4_Li_03_04_CB_res.set_writable(True)
S15_M2_B4_Li_03_04_I_res =S15.add_variable(addspace,"S15_M2_B4_Li_03_04_I_res",variant2)
S15_M2_B4_Li_03_04_I_res.set_writable(True)
S15_M2_B4_Li_03_04_P_res =S15.add_variable(addspace,"S15_M2_B4_Li_03_04_P_res",variant2)
S15_M2_B4_Li_03_04_P_res.set_writable(True)
S15_M2_B4_Li_03_04_Q_res =S15.add_variable(addspace,"S15_M2_B4_Li_03_04_Q_res",variant2)
S15_M2_B4_Li_03_04_Q_res.set_writable(True)
S15_M2_B4_Li_03_04_V_res =S15.add_variable(addspace,"S15_M2_B4_Li_03_04_V_res",variant2)
S15_M2_B4_Li_03_04_V_res.set_writable(True)
S15_M3_B4_Li_04_14_CB_ctrl =S15.add_variable(addspace,"S15_M3_B4_Li_04_14_CB_ctrl",variant)
S15_M3_B4_Li_04_14_CB_ctrl.set_writable(True)
S15_M3_B4_Li_04_14_CB_res =S15.add_variable(addspace,"S15_M3_B4_Li_04_14_CB_res",variant2)
S15_M3_B4_Li_04_14_CB_res.set_writable(True)
S15_M3_B4_Li_04_14_I_res =S15.add_variable(addspace,"S15_M3_B4_Li_04_14_I_res",variant2)
S15_M3_B4_Li_04_14_I_res.set_writable(True)
S15_M3_B4_Li_04_14_P_res =S15.add_variable(addspace,"S15_M3_B4_Li_04_14_P_res",variant2)
S15_M3_B4_Li_04_14_P_res.set_writable(True)
S15_M3_B4_Li_04_14_Q_res =S15.add_variable(addspace,"S15_M3_B4_Li_04_14_Q_res",variant2)
S15_M3_B4_Li_04_14_Q_res.set_writable(True)
S15_M3_B4_Li_04_14_V_res =S15.add_variable(addspace,"S15_M3_B4_Li_04_14_V_res",variant2)
S15_M3_B4_Li_04_14_V_res.set_writable(True)
S15_M4_B4_Ld4_CB_ctrl =S15.add_variable(addspace,"S15_M4_B4_Ld4_CB_ctrl",variant)
S15_M4_B4_Ld4_CB_ctrl.set_writable(True)
S15_M4_B4_Ld4_CB_res =S15.add_variable(addspace,"S15_M4_B4_Ld4_CB_res",variant2)
S15_M4_B4_Ld4_CB_res.set_writable(True)
S15_M4_B4_Ld4_f_res =S15.add_variable(addspace,"S15_M4_B4_Ld4_f_res",variant2)
S15_M4_B4_Ld4_f_res.set_writable(True)
S15_M4_B4_Ld4_P_res =S15.add_variable(addspace,"S15_M4_B4_Ld4_P_res",variant2)
S15_M4_B4_Ld4_P_res.set_writable(True)
S15_M4_B4_Ld4_Q_res =S15.add_variable(addspace,"S15_M4_B4_Ld4_Q_res",variant2)
S15_M4_B4_Ld4_Q_res.set_writable(True)
S15_M4_B4_Ld4_V_res =S15.add_variable(addspace,"S15_M4_B4_Ld4_V_res",variant2)
S15_M4_B4_Ld4_V_res.set_writable(True)
S16_M1_B3_Li_03_04_CB_ctrl =S16.add_variable(addspace,"S16_M1_B3_Li_03_04_CB_ctrl",variant)
S16_M1_B3_Li_03_04_CB_ctrl.set_writable(True)
S16_M1_B3_Li_03_04_CB_res =S16.add_variable(addspace,"S16_M1_B3_Li_03_04_CB_res",variant2)
S16_M1_B3_Li_03_04_CB_res.set_writable(True)
S16_M1_B3_Li_03_04_I_res =S16.add_variable(addspace,"S16_M1_B3_Li_03_04_I_res",variant2)
S16_M1_B3_Li_03_04_I_res.set_writable(True)
S16_M1_B3_Li_03_04_P_res =S16.add_variable(addspace,"S16_M1_B3_Li_03_04_P_res",variant2)
S16_M1_B3_Li_03_04_P_res.set_writable(True)
S16_M1_B3_Li_03_04_Q_res =S16.add_variable(addspace,"S16_M1_B3_Li_03_04_Q_res",variant2)
S16_M1_B3_Li_03_04_Q_res.set_writable(True)
S16_M1_B3_Li_03_04_V_res =S16.add_variable(addspace,"S16_M1_B3_Li_03_04_V_res",variant2)
S16_M1_B3_Li_03_04_V_res.set_writable(True)
S16_M2_B3_Li_02_03_CB_ctrl =S16.add_variable(addspace,"S16_M2_B3_Li_02_03_CB_ctrl",variant)
S16_M2_B3_Li_02_03_CB_ctrl.set_writable(True)
S16_M2_B3_Li_02_03_CB_res =S16.add_variable(addspace,"S16_M2_B3_Li_02_03_CB_res",variant2)
S16_M2_B3_Li_02_03_CB_res.set_writable(True)
S16_M2_B3_Li_02_03_I_res =S16.add_variable(addspace,"S16_M2_B3_Li_02_03_I_res",variant2)
S16_M2_B3_Li_02_03_I_res.set_writable(True)
S16_M2_B3_Li_02_03_P_res =S16.add_variable(addspace,"S16_M2_B3_Li_02_03_P_res",variant2)
S16_M2_B3_Li_02_03_P_res.set_writable(True)
S16_M2_B3_Li_02_03_Q_res =S16.add_variable(addspace,"S16_M2_B3_Li_02_03_Q_res",variant2)
S16_M2_B3_Li_02_03_Q_res.set_writable(True)
S16_M2_B3_Li_02_03_V_res =S16.add_variable(addspace,"S16_M2_B3_Li_02_03_V_res",variant2)
S16_M2_B3_Li_02_03_V_res.set_writable(True)
S16_M3_B3_Li_03_18_CB_ctrl =S16.add_variable(addspace,"S16_M3_B3_Li_03_18_CB_ctrl",variant)
S16_M3_B3_Li_03_18_CB_ctrl.set_writable(True)
S16_M3_B3_Li_03_18_CB_res =S16.add_variable(addspace,"S16_M3_B3_Li_03_18_CB_res",variant2)
S16_M3_B3_Li_03_18_CB_res.set_writable(True)
S16_M3_B3_Li_03_18_I_res =S16.add_variable(addspace,"S16_M3_B3_Li_03_18_I_res",variant2)
S16_M3_B3_Li_03_18_I_res.set_writable(True)
S16_M3_B3_Li_03_18_P_res =S16.add_variable(addspace,"S16_M3_B3_Li_03_18_P_res",variant2)
S16_M3_B3_Li_03_18_P_res.set_writable(True)
S16_M3_B3_Li_03_18_Q_res =S16.add_variable(addspace,"S16_M3_B3_Li_03_18_Q_res",variant2)
S16_M3_B3_Li_03_18_Q_res.set_writable(True)
S16_M3_B3_Li_03_18_V_res =S16.add_variable(addspace,"S16_M3_B3_Li_03_18_V_res",variant2)
S16_M3_B3_Li_03_18_V_res.set_writable(True)
S16_M4_B3_Ld3_CB_ctrl =S16.add_variable(addspace,"S16_M4_B3_Ld3_CB_ctrl",variant)
S16_M4_B3_Ld3_CB_ctrl.set_writable(True)
S16_M4_B3_Ld3_CB_res =S16.add_variable(addspace,"S16_M4_B3_Ld3_CB_res",variant2)
S16_M4_B3_Ld3_CB_res.set_writable(True)
S16_M4_B3_Ld3_f_res =S16.add_variable(addspace,"S16_M4_B3_Ld3_f_res",variant2)
S16_M4_B3_Ld3_f_res.set_writable(True)
S16_M4_B3_Ld3_P_res =S16.add_variable(addspace,"S16_M4_B3_Ld3_P_res",variant2)
S16_M4_B3_Ld3_P_res.set_writable(True)
S16_M4_B3_Ld3_Q_res =S16.add_variable(addspace,"S16_M4_B3_Ld3_Q_res",variant2)
S16_M4_B3_Ld3_Q_res.set_writable(True)
S16_M4_B3_Ld3_V_res =S16.add_variable(addspace,"S16_M4_B3_Ld3_V_res",variant2)
S16_M4_B3_Ld3_V_res.set_writable(True)
S17_M1_B1_Li_01_02_CB_ctrl =S17.add_variable(addspace,"S17_M1_B1_Li_01_02_CB_ctrl",variant)
S17_M1_B1_Li_01_02_CB_ctrl.set_writable(True)
S17_M1_B1_Li_01_02_CB_res =S17.add_variable(addspace,"S17_M1_B1_Li_01_02_CB_res",variant2)
S17_M1_B1_Li_01_02_CB_res.set_writable(True)
S17_M1_B1_Li_01_02_f_res =S17.add_variable(addspace,"S17_M1_B1_Li_01_02_f_res",variant2)
S17_M1_B1_Li_01_02_f_res.set_writable(True)
S17_M1_B1_Li_01_02_I_res =S17.add_variable(addspace,"S17_M1_B1_Li_01_02_I_res",variant2)
S17_M1_B1_Li_01_02_I_res.set_writable(True)
S17_M1_B1_Li_01_02_P_res =S17.add_variable(addspace,"S17_M1_B1_Li_01_02_P_res",variant2)
S17_M1_B1_Li_01_02_P_res.set_writable(True)
S17_M1_B1_Li_01_02_Q_res =S17.add_variable(addspace,"S17_M1_B1_Li_01_02_Q_res",variant2)
S17_M1_B1_Li_01_02_Q_res.set_writable(True)
S17_M1_B1_Li_01_02_V_res =S17.add_variable(addspace,"S17_M1_B1_Li_01_02_V_res",variant2)
S17_M1_B1_Li_01_02_V_res.set_writable(True)
S17_M2_B1_Li_01_39_CB_ctrl =S17.add_variable(addspace,"S17_M2_B1_Li_01_39_CB_ctrl",variant)
S17_M2_B1_Li_01_39_CB_ctrl.set_writable(True)
S17_M2_B1_Li_01_39_CB_res =S17.add_variable(addspace,"S17_M2_B1_Li_01_39_CB_res",variant2)
S17_M2_B1_Li_01_39_CB_res.set_writable(True)
S17_M2_B1_Li_01_39_I_res =S17.add_variable(addspace,"S17_M2_B1_Li_01_39_I_res",variant2)
S17_M2_B1_Li_01_39_I_res.set_writable(True)
S17_M2_B1_Li_01_39_P_res =S17.add_variable(addspace,"S17_M2_B1_Li_01_39_P_res",variant2)
S17_M2_B1_Li_01_39_P_res.set_writable(True)
S17_M2_B1_Li_01_39_Q_res =S17.add_variable(addspace,"S17_M2_B1_Li_01_39_Q_res",variant2)
S17_M2_B1_Li_01_39_Q_res.set_writable(True)
S17_M2_B1_Li_01_39_V_res =S17.add_variable(addspace,"S17_M2_B1_Li_01_39_V_res",variant2)
S17_M2_B1_Li_01_39_V_res.set_writable(True)
S18_M1_B18_Li_03_18_CB_ctrl =S18.add_variable(addspace,"S18_M1_B18_Li_03_18_CB_ctrl",variant)
S18_M1_B18_Li_03_18_CB_ctrl.set_writable(True)
S18_M1_B18_Li_03_18_CB_res =S18.add_variable(addspace,"S18_M1_B18_Li_03_18_CB_res",variant2)
S18_M1_B18_Li_03_18_CB_res.set_writable(True)
S18_M1_B18_Li_03_18_I_res =S18.add_variable(addspace,"S18_M1_B18_Li_03_18_I_res",variant2)
S18_M1_B18_Li_03_18_I_res.set_writable(True)
S18_M1_B18_Li_03_18_P_res =S18.add_variable(addspace,"S18_M1_B18_Li_03_18_P_res",variant2)
S18_M1_B18_Li_03_18_P_res.set_writable(True)
S18_M1_B18_Li_03_18_Q_res =S18.add_variable(addspace,"S18_M1_B18_Li_03_18_Q_res",variant2)
S18_M1_B18_Li_03_18_Q_res.set_writable(True)
S18_M1_B18_Li_03_18_V_res =S18.add_variable(addspace,"S18_M1_B18_Li_03_18_V_res",variant2)
S18_M1_B18_Li_03_18_V_res.set_writable(True)
S18_M2_B18_Li_17_18_CB_ctrl =S18.add_variable(addspace,"S18_M2_B18_Li_17_18_CB_ctrl",variant)
S18_M2_B18_Li_17_18_CB_ctrl.set_writable(True)
S18_M2_B18_Li_17_18_CB_res =S18.add_variable(addspace,"S18_M2_B18_Li_17_18_CB_res",variant2)
S18_M2_B18_Li_17_18_CB_res.set_writable(True)
S18_M2_B18_Li_17_18_I_res =S18.add_variable(addspace,"S18_M2_B18_Li_17_18_I_res",variant2)
S18_M2_B18_Li_17_18_I_res.set_writable(True)
S18_M2_B18_Li_17_18_P_res =S18.add_variable(addspace,"S18_M2_B18_Li_17_18_P_res",variant2)
S18_M2_B18_Li_17_18_P_res.set_writable(True)
S18_M2_B18_Li_17_18_Q_res =S18.add_variable(addspace,"S18_M2_B18_Li_17_18_Q_res",variant2)
S18_M2_B18_Li_17_18_Q_res.set_writable(True)
S18_M2_B18_Li_17_18_V_res =S18.add_variable(addspace,"S18_M2_B18_Li_17_18_V_res",variant2)
S18_M2_B18_Li_17_18_V_res.set_writable(True)
S18_M3_B18_Ld18_CB_ctrl =S18.add_variable(addspace,"S18_M3_B18_Ld18_CB_ctrl",variant)
S18_M3_B18_Ld18_CB_ctrl.set_writable(True)
S18_M3_B18_Ld18_CB_res =S18.add_variable(addspace,"S18_M3_B18_Ld18_CB_res",variant2)
S18_M3_B18_Ld18_CB_res.set_writable(True)
S18_M3_B18_Ld18_f_res =S18.add_variable(addspace,"S18_M3_B18_Ld18_f_res",variant2)
S18_M3_B18_Ld18_f_res.set_writable(True)
S18_M3_B18_Ld18_P_res =S18.add_variable(addspace,"S18_M3_B18_Ld18_P_res",variant2)
S18_M3_B18_Ld18_P_res.set_writable(True)
S18_M3_B18_Ld18_Q_res =S18.add_variable(addspace,"S18_M3_B18_Ld18_Q_res",variant2)
S18_M3_B18_Ld18_Q_res.set_writable(True)
S18_M3_B18_Ld18_V_res =S18.add_variable(addspace,"S18_M3_B18_Ld18_V_res",variant2)
S18_M3_B18_Ld18_V_res.set_writable(True)
S19_M1_B26_Li_25_26_CB_ctrl =S19.add_variable(addspace,"S19_M1_B26_Li_25_26_CB_ctrl",variant)
S19_M1_B26_Li_25_26_CB_ctrl.set_writable(True)
S19_M1_B26_Li_25_26_CB_res =S19.add_variable(addspace,"S19_M1_B26_Li_25_26_CB_res",variant2)
S19_M1_B26_Li_25_26_CB_res.set_writable(True)
S19_M1_B26_Li_25_26_I_res =S19.add_variable(addspace,"S19_M1_B26_Li_25_26_I_res",variant2)
S19_M1_B26_Li_25_26_I_res.set_writable(True)
S19_M1_B26_Li_25_26_P_res =S19.add_variable(addspace,"S19_M1_B26_Li_25_26_P_res",variant2)
S19_M1_B26_Li_25_26_P_res.set_writable(True)
S19_M1_B26_Li_25_26_Q_res =S19.add_variable(addspace,"S19_M1_B26_Li_25_26_Q_res",variant2)
S19_M1_B26_Li_25_26_Q_res.set_writable(True)
S19_M1_B26_Li_25_26_V_res =S19.add_variable(addspace,"S19_M1_B26_Li_25_26_V_res",variant2)
S19_M1_B26_Li_25_26_V_res.set_writable(True)
S19_M2_B26_Li_26_27_CB_ctrl =S19.add_variable(addspace,"S19_M2_B26_Li_26_27_CB_ctrl",variant)
S19_M2_B26_Li_26_27_CB_ctrl.set_writable(True)
S19_M2_B26_Li_26_27_CB_res =S19.add_variable(addspace,"S19_M2_B26_Li_26_27_CB_res",variant2)
S19_M2_B26_Li_26_27_CB_res.set_writable(True)
S19_M2_B26_Li_26_27_I_res =S19.add_variable(addspace,"S19_M2_B26_Li_26_27_I_res",variant2)
S19_M2_B26_Li_26_27_I_res.set_writable(True)
S19_M2_B26_Li_26_27_P_res =S19.add_variable(addspace,"S19_M2_B26_Li_26_27_P_res",variant2)
S19_M2_B26_Li_26_27_P_res.set_writable(True)
S19_M2_B26_Li_26_27_Q_res =S19.add_variable(addspace,"S19_M2_B26_Li_26_27_Q_res",variant2)
S19_M2_B26_Li_26_27_Q_res.set_writable(True)
S19_M2_B26_Li_26_27_V_res =S19.add_variable(addspace,"S19_M2_B26_Li_26_27_V_res",variant2)
S19_M2_B26_Li_26_27_V_res.set_writable(True)
S19_M3_B26_Li_26_28_CB_ctrl =S19.add_variable(addspace,"S19_M3_B26_Li_26_28_CB_ctrl",variant)
S19_M3_B26_Li_26_28_CB_ctrl.set_writable(True)
S19_M3_B26_Li_26_28_CB_res =S19.add_variable(addspace,"S19_M3_B26_Li_26_28_CB_res",variant2)
S19_M3_B26_Li_26_28_CB_res.set_writable(True)
S19_M3_B26_Li_26_28_I_res =S19.add_variable(addspace,"S19_M3_B26_Li_26_28_I_res",variant2)
S19_M3_B26_Li_26_28_I_res.set_writable(True)
S19_M3_B26_Li_26_28_P_res =S19.add_variable(addspace,"S19_M3_B26_Li_26_28_P_res",variant2)
S19_M3_B26_Li_26_28_P_res.set_writable(True)
S19_M3_B26_Li_26_28_Q_res =S19.add_variable(addspace,"S19_M3_B26_Li_26_28_Q_res",variant2)
S19_M3_B26_Li_26_28_Q_res.set_writable(True)
S19_M3_B26_Li_26_28_V_res =S19.add_variable(addspace,"S19_M3_B26_Li_26_28_V_res",variant2)
S19_M3_B26_Li_26_28_V_res.set_writable(True)
S19_M4_B26_Li_26_29_CB_ctrl =S19.add_variable(addspace,"S19_M4_B26_Li_26_29_CB_ctrl",variant)
S19_M4_B26_Li_26_29_CB_ctrl.set_writable(True)
S19_M4_B26_Li_26_29_CB_res =S19.add_variable(addspace,"S19_M4_B26_Li_26_29_CB_res",variant2)
S19_M4_B26_Li_26_29_CB_res.set_writable(True)
S19_M4_B26_Li_26_29_I_res =S19.add_variable(addspace,"S19_M4_B26_Li_26_29_I_res",variant2)
S19_M4_B26_Li_26_29_I_res.set_writable(True)
S19_M4_B26_Li_26_29_P_res =S19.add_variable(addspace,"S19_M4_B26_Li_26_29_P_res",variant2)
S19_M4_B26_Li_26_29_P_res.set_writable(True)
S19_M4_B26_Li_26_29_Q_res =S19.add_variable(addspace,"S19_M4_B26_Li_26_29_Q_res",variant2)
S19_M4_B26_Li_26_29_Q_res.set_writable(True)
S19_M4_B26_Li_26_29_V_res =S19.add_variable(addspace,"S19_M4_B26_Li_26_29_V_res",variant2)
S19_M4_B26_Li_26_29_V_res.set_writable(True)
S19_M5_B26_Ld26_CB_ctrl =S19.add_variable(addspace,"S19_M5_B26_Ld26_CB_ctrl",variant)
S19_M5_B26_Ld26_CB_ctrl.set_writable(True)
S19_M5_B26_Ld26_CB_res =S19.add_variable(addspace,"S19_M5_B26_Ld26_CB_res",variant2)
S19_M5_B26_Ld26_CB_res.set_writable(True)
S19_M5_B26_Ld26_f_res =S19.add_variable(addspace,"S19_M5_B26_Ld26_f_res",variant2)
S19_M5_B26_Ld26_f_res.set_writable(True)
S19_M5_B26_Ld26_I_res =S19.add_variable(addspace,"S19_M5_B26_Ld26_I_res",variant2)
S19_M5_B26_Ld26_I_res.set_writable(True)
S19_M5_B26_Ld26_P_res =S19.add_variable(addspace,"S19_M5_B26_Ld26_P_res",variant2)
S19_M5_B26_Ld26_P_res.set_writable(True)
S19_M5_B26_Ld26_Q_res =S19.add_variable(addspace,"S19_M5_B26_Ld26_Q_res",variant2)
S19_M5_B26_Ld26_Q_res.set_writable(True)
S19_M5_B26_Ld26_V_res =S19.add_variable(addspace,"S19_M5_B26_Ld26_V_res",variant2)
S19_M5_B26_Ld26_V_res.set_writable(True)
S20_M1_B28_Li_26_28_CB_ctrl =S20.add_variable(addspace,"S20_M1_B28_Li_26_28_CB_ctrl",variant)
S20_M1_B28_Li_26_28_CB_ctrl.set_writable(True)
S20_M1_B28_Li_26_28_CB_res =S20.add_variable(addspace,"S20_M1_B28_Li_26_28_CB_res",variant2)
S20_M1_B28_Li_26_28_CB_res.set_writable(True)
S20_M1_B28_Li_26_28_I_res =S20.add_variable(addspace,"S20_M1_B28_Li_26_28_I_res",variant2)
S20_M1_B28_Li_26_28_I_res.set_writable(True)
S20_M1_B28_Li_26_28_P_res =S20.add_variable(addspace,"S20_M1_B28_Li_26_28_P_res",variant2)
S20_M1_B28_Li_26_28_P_res.set_writable(True)
S20_M1_B28_Li_26_28_Q_res =S20.add_variable(addspace,"S20_M1_B28_Li_26_28_Q_res",variant2)
S20_M1_B28_Li_26_28_Q_res.set_writable(True)
S20_M1_B28_Li_26_28_V_res =S20.add_variable(addspace,"S20_M1_B28_Li_26_28_V_res",variant2)
S20_M1_B28_Li_26_28_V_res.set_writable(True)
S20_M2_B28_Li_28_29_CB_ctrl =S20.add_variable(addspace,"S20_M2_B28_Li_28_29_CB_ctrl",variant)
S20_M2_B28_Li_28_29_CB_ctrl.set_writable(True)
S20_M2_B28_Li_28_29_CB_res =S20.add_variable(addspace,"S20_M2_B28_Li_28_29_CB_res",variant2)
S20_M2_B28_Li_28_29_CB_res.set_writable(True)
S20_M2_B28_Li_28_29_I_res =S20.add_variable(addspace,"S20_M2_B28_Li_28_29_I_res",variant2)
S20_M2_B28_Li_28_29_I_res.set_writable(True)
S20_M2_B28_Li_28_29_P_res =S20.add_variable(addspace,"S20_M2_B28_Li_28_29_P_res",variant2)
S20_M2_B28_Li_28_29_P_res.set_writable(True)
S20_M2_B28_Li_28_29_Q_res =S20.add_variable(addspace,"S20_M2_B28_Li_28_29_Q_res",variant2)
S20_M2_B28_Li_28_29_Q_res.set_writable(True)
S20_M2_B28_Li_28_29_V_res =S20.add_variable(addspace,"S20_M2_B28_Li_28_29_V_res",variant2)
S20_M2_B28_Li_28_29_V_res.set_writable(True)
S20_M3_B28_Ld28_CB_ctrl =S20.add_variable(addspace,"S20_M3_B28_Ld28_CB_ctrl",variant)
S20_M3_B28_Ld28_CB_ctrl.set_writable(True)
S20_M3_B28_Ld28_CB_res =S20.add_variable(addspace,"S20_M3_B28_Ld28_CB_res",variant2)
S20_M3_B28_Ld28_CB_res.set_writable(True)
S20_M3_B28_Ld28_f_res =S20.add_variable(addspace,"S20_M3_B28_Ld28_f_res",variant2)
S20_M3_B28_Ld28_f_res.set_writable(True)
S20_M3_B28_Ld28_I_res =S20.add_variable(addspace,"S20_M3_B28_Ld28_I_res",variant2)
S20_M3_B28_Ld28_I_res.set_writable(True)
S20_M3_B28_Ld28_P_res =S20.add_variable(addspace,"S20_M3_B28_Ld28_P_res",variant2)
S20_M3_B28_Ld28_P_res.set_writable(True)
S20_M3_B28_Ld28_Q_res =S20.add_variable(addspace,"S20_M3_B28_Ld28_Q_res",variant2)
S20_M3_B28_Ld28_Q_res.set_writable(True)
S20_M3_B28_Ld28_V_res =S20.add_variable(addspace,"S20_M3_B28_Ld28_V_res",variant2)
S20_M3_B28_Ld28_V_res.set_writable(True)
S21_M1_B24_Li_23_24_CB_ctrl =S21.add_variable(addspace,"S21_M1_B24_Li_23_24_CB_ctrl",variant)
S21_M1_B24_Li_23_24_CB_ctrl.set_writable(True)
S21_M1_B24_Li_23_24_CB_res =S21.add_variable(addspace,"S21_M1_B24_Li_23_24_CB_res",variant2)
S21_M1_B24_Li_23_24_CB_res.set_writable(True)
S21_M1_B24_Li_23_24_I_res =S21.add_variable(addspace,"S21_M1_B24_Li_23_24_I_res",variant2)
S21_M1_B24_Li_23_24_I_res.set_writable(True)
S21_M1_B24_Li_23_24_P_res =S21.add_variable(addspace,"S21_M1_B24_Li_23_24_P_res",variant2)
S21_M1_B24_Li_23_24_P_res.set_writable(True)
S21_M1_B24_Li_23_24_Q_res =S21.add_variable(addspace,"S21_M1_B24_Li_23_24_Q_res",variant2)
S21_M1_B24_Li_23_24_Q_res.set_writable(True)
S21_M1_B24_Li_23_24_V_res =S21.add_variable(addspace,"S21_M1_B24_Li_23_24_V_res",variant2)
S21_M1_B24_Li_23_24_V_res.set_writable(True)
S21_M2_B24_Li_16_24_CB_ctrl =S21.add_variable(addspace,"S21_M2_B24_Li_16_24_CB_ctrl",variant)
S21_M2_B24_Li_16_24_CB_ctrl.set_writable(True)
S21_M2_B24_Li_16_24_CB_res =S21.add_variable(addspace,"S21_M2_B24_Li_16_24_CB_res",variant2)
S21_M2_B24_Li_16_24_CB_res.set_writable(True)
S21_M2_B24_Li_16_24_I_res =S21.add_variable(addspace,"S21_M2_B24_Li_16_24_I_res",variant2)
S21_M2_B24_Li_16_24_I_res.set_writable(True)
S21_M2_B24_Li_16_24_P_res =S21.add_variable(addspace,"S21_M2_B24_Li_16_24_P_res",variant2)
S21_M2_B24_Li_16_24_P_res.set_writable(True)
S21_M2_B24_Li_16_24_Q_res =S21.add_variable(addspace,"S21_M2_B24_Li_16_24_Q_res",variant2)
S21_M2_B24_Li_16_24_Q_res.set_writable(True)
S21_M2_B24_Li_16_24_V_res =S21.add_variable(addspace,"S21_M2_B24_Li_16_24_V_res",variant2)
S21_M2_B24_Li_16_24_V_res.set_writable(True)
S21_M3_B24_Ld24_CB_ctrl =S21.add_variable(addspace,"S21_M3_B24_Ld24_CB_ctrl",variant)
S21_M3_B24_Ld24_CB_ctrl.set_writable(True)
S21_M3_B24_Ld24_CB_res =S21.add_variable(addspace,"S21_M3_B24_Ld24_CB_res",variant2)
S21_M3_B24_Ld24_CB_res.set_writable(True)
S21_M3_B24_Ld24_f_res =S21.add_variable(addspace,"S21_M3_B24_Ld24_f_res",variant2)
S21_M3_B24_Ld24_f_res.set_writable(True)
S21_M3_B24_Ld24_I_res =S21.add_variable(addspace,"S21_M3_B24_Ld24_I_res",variant2)
S21_M3_B24_Ld24_I_res.set_writable(True)
S21_M3_B24_Ld24_P_res =S21.add_variable(addspace,"S21_M3_B24_Ld24_P_res",variant2)
S21_M3_B24_Ld24_P_res.set_writable(True)
S21_M3_B24_Ld24_Q_res =S21.add_variable(addspace,"S21_M3_B24_Ld24_Q_res",variant2)
S21_M3_B24_Ld24_Q_res.set_writable(True)
S21_M3_B24_Ld24_V_res =S21.add_variable(addspace,"S21_M3_B24_Ld24_V_res",variant2)
S21_M3_B24_Ld24_V_res.set_writable(True)
S22_M1_B27_Li_17_27_CB_ctrl =S22.add_variable(addspace,"S22_M1_B27_Li_17_27_CB_ctrl",variant)
S22_M1_B27_Li_17_27_CB_ctrl.set_writable(True)
S22_M1_B27_Li_17_27_CB_res =S22.add_variable(addspace,"S22_M1_B27_Li_17_27_CB_res",variant2)
S22_M1_B27_Li_17_27_CB_res.set_writable(True)
S22_M1_B27_Li_17_27_I_res =S22.add_variable(addspace,"S22_M1_B27_Li_17_27_I_res",variant2)
S22_M1_B27_Li_17_27_I_res.set_writable(True)
S22_M1_B27_Li_17_27_P_res =S22.add_variable(addspace,"S22_M1_B27_Li_17_27_P_res",variant2)
S22_M1_B27_Li_17_27_P_res.set_writable(True)
S22_M1_B27_Li_17_27_Q_res =S22.add_variable(addspace,"S22_M1_B27_Li_17_27_Q_res",variant2)
S22_M1_B27_Li_17_27_Q_res.set_writable(True)
S22_M1_B27_Li_17_27_V_res =S22.add_variable(addspace,"S22_M1_B27_Li_17_27_V_res",variant2)
S22_M1_B27_Li_17_27_V_res.set_writable(True)
S22_M2_B27_Li_26_27_CB_ctrl =S22.add_variable(addspace,"S22_M2_B27_Li_26_27_CB_ctrl",variant)
S22_M2_B27_Li_26_27_CB_ctrl.set_writable(True)
S22_M2_B27_Li_26_27_CB_res =S22.add_variable(addspace,"S22_M2_B27_Li_26_27_CB_res",variant2)
S22_M2_B27_Li_26_27_CB_res.set_writable(True)
S22_M2_B27_Li_26_27_I_res =S22.add_variable(addspace,"S22_M2_B27_Li_26_27_I_res",variant2)
S22_M2_B27_Li_26_27_I_res.set_writable(True)
S22_M2_B27_Li_26_27_P_res =S22.add_variable(addspace,"S22_M2_B27_Li_26_27_P_res",variant2)
S22_M2_B27_Li_26_27_P_res.set_writable(True)
S22_M2_B27_Li_26_27_Q_res =S22.add_variable(addspace,"S22_M2_B27_Li_26_27_Q_res",variant2)
S22_M2_B27_Li_26_27_Q_res.set_writable(True)
S22_M2_B27_Li_26_27_V_res =S22.add_variable(addspace,"S22_M2_B27_Li_26_27_V_res",variant2)
S22_M2_B27_Li_26_27_V_res.set_writable(True)
S22_M3_B27_Ld27_CB_ctrl =S22.add_variable(addspace,"S22_M3_B27_Ld27_CB_ctrl",variant)
S22_M3_B27_Ld27_CB_ctrl.set_writable(True)
S22_M3_B27_Ld27_CB_res =S22.add_variable(addspace,"S22_M3_B27_Ld27_CB_res",variant2)
S22_M3_B27_Ld27_CB_res.set_writable(True)
S22_M3_B27_Ld27_f_res =S22.add_variable(addspace,"S22_M3_B27_Ld27_f_res",variant2)
S22_M3_B27_Ld27_f_res.set_writable(True)
S22_M3_B27_Ld27_I_res =S22.add_variable(addspace,"S22_M3_B27_Ld27_I_res",variant2)
S22_M3_B27_Ld27_I_res.set_writable(True)
S22_M3_B27_Ld27_P_res =S22.add_variable(addspace,"S22_M3_B27_Ld27_P_res",variant2)
S22_M3_B27_Ld27_P_res.set_writable(True)
S22_M3_B27_Ld27_Q_res =S22.add_variable(addspace,"S22_M3_B27_Ld27_Q_res",variant2)
S22_M3_B27_Ld27_Q_res.set_writable(True)
S22_M3_B27_Ld27_V_res =S22.add_variable(addspace,"S22_M3_B27_Ld27_V_res",variant2)
S22_M3_B27_Ld27_V_res.set_writable(True)
S23_M1_B17_Li_17_18_CB_ctrl =S23.add_variable(addspace,"S23_M1_B17_Li_17_18_CB_ctrl",variant)
S23_M1_B17_Li_17_18_CB_ctrl.set_writable(True)
S23_M1_B17_Li_17_18_CB_res =S23.add_variable(addspace,"S23_M1_B17_Li_17_18_CB_res",variant2)
S23_M1_B17_Li_17_18_CB_res.set_writable(True)
S23_M1_B17_Li_17_18_I_res =S23.add_variable(addspace,"S23_M1_B17_Li_17_18_I_res",variant2)
S23_M1_B17_Li_17_18_I_res.set_writable(True)
S23_M1_B17_Li_17_18_P_res =S23.add_variable(addspace,"S23_M1_B17_Li_17_18_P_res",variant2)
S23_M1_B17_Li_17_18_P_res.set_writable(True)
S23_M1_B17_Li_17_18_Q_res =S23.add_variable(addspace,"S23_M1_B17_Li_17_18_Q_res",variant2)
S23_M1_B17_Li_17_18_Q_res.set_writable(True)
S23_M2_B17_Li_17_27_CB_ctrl =S23.add_variable(addspace,"S23_M2_B17_Li_17_27_CB_ctrl",variant)
S23_M2_B17_Li_17_27_CB_ctrl.set_writable(True)
S23_M2_B17_Li_17_27_CB_res =S23.add_variable(addspace,"S23_M2_B17_Li_17_27_CB_res",variant2)
S23_M2_B17_Li_17_27_CB_res.set_writable(True)
S23_M2_B17_Li_17_27_I_res =S23.add_variable(addspace,"S23_M2_B17_Li_17_27_I_res",variant2)
S23_M2_B17_Li_17_27_I_res.set_writable(True)
S23_M2_B17_Li_17_27_P_res =S23.add_variable(addspace,"S23_M2_B17_Li_17_27_P_res",variant2)
S23_M2_B17_Li_17_27_P_res.set_writable(True)
S23_M2_B17_Li_17_27_Q_res =S23.add_variable(addspace,"S23_M2_B17_Li_17_27_Q_res",variant2)
S23_M2_B17_Li_17_27_Q_res.set_writable(True)
S23_M2_B17_Li_17_27_V_res =S23.add_variable(addspace,"S23_M2_B17_Li_17_27_V_res",variant2)
S23_M2_B17_Li_17_27_V_res.set_writable(True)
S23_M3_B17_Li_16_17_CB_ctrl =S23.add_variable(addspace,"S23_M3_B17_Li_16_17_CB_ctrl",variant)
S23_M3_B17_Li_16_17_CB_ctrl.set_writable(True)
S23_M3_B17_Li_16_17_CB_res =S23.add_variable(addspace,"S23_M3_B17_Li_16_17_CB_res",variant2)
S23_M3_B17_Li_16_17_CB_res.set_writable(True)
S23_M3_B17_Li_16_17_f_res =S23.add_variable(addspace,"S23_M3_B17_Li_16_17_f_res",variant2)
S23_M3_B17_Li_16_17_f_res.set_writable(True)
S23_M3_B17_Li_16_17_I_res =S23.add_variable(addspace,"S23_M3_B17_Li_16_17_I_res",variant2)
S23_M3_B17_Li_16_17_I_res.set_writable(True)
S23_M3_B17_Li_16_17_P_res =S23.add_variable(addspace,"S23_M3_B17_Li_16_17_P_res",variant2)
S23_M3_B17_Li_16_17_P_res.set_writable(True)
S23_M3_B17_Li_16_17_Q_res =S23.add_variable(addspace,"S23_M3_B17_Li_16_17_Q_res",variant2)
S23_M3_B17_Li_16_17_Q_res.set_writable(True)
S23_M3_B17_Li_16_17_V_res =S23.add_variable(addspace,"S23_M3_B17_Li_16_17_V_res",variant2)
S23_M3_B17_Li_16_17_V_res.set_writable(True)
S24_M1_B16_Li_16_24_CB_ctrl =S24.add_variable(addspace,"S24_M1_B16_Li_16_24_CB_ctrl",variant)
S24_M1_B16_Li_16_24_CB_ctrl.set_writable(True)
S24_M1_B16_Li_16_24_CB_res =S24.add_variable(addspace,"S24_M1_B16_Li_16_24_CB_res",variant2)
S24_M1_B16_Li_16_24_CB_res.set_writable(True)
S24_M1_B16_Li_16_24_I_res =S24.add_variable(addspace,"S24_M1_B16_Li_16_24_I_res",variant2)
S24_M1_B16_Li_16_24_I_res.set_writable(True)
S24_M1_B16_Li_16_24_P_res =S24.add_variable(addspace,"S24_M1_B16_Li_16_24_P_res",variant2)
S24_M1_B16_Li_16_24_P_res.set_writable(True)
S24_M1_B16_Li_16_24_Q_res =S24.add_variable(addspace,"S24_M1_B16_Li_16_24_Q_res",variant2)
S24_M1_B16_Li_16_24_Q_res.set_writable(True)
S24_M1_B16_Li_16_24_V_res =S24.add_variable(addspace,"S24_M1_B16_Li_16_24_V_res",variant2)
S24_M1_B16_Li_16_24_V_res.set_writable(True)
S24_M2_B16_Li_16_21_CB_ctrl =S24.add_variable(addspace,"S24_M2_B16_Li_16_21_CB_ctrl",variant)
S24_M2_B16_Li_16_21_CB_ctrl.set_writable(True)
S24_M2_B16_Li_16_21_CB_res =S24.add_variable(addspace,"S24_M2_B16_Li_16_21_CB_res",variant2)
S24_M2_B16_Li_16_21_CB_res.set_writable(True)
S24_M2_B16_Li_16_21_I_res =S24.add_variable(addspace,"S24_M2_B16_Li_16_21_I_res",variant2)
S24_M2_B16_Li_16_21_I_res.set_writable(True)
S24_M2_B16_Li_16_21_P_res =S24.add_variable(addspace,"S24_M2_B16_Li_16_21_P_res",variant2)
S24_M2_B16_Li_16_21_P_res.set_writable(True)
S24_M2_B16_Li_16_21_Q_res =S24.add_variable(addspace,"S24_M2_B16_Li_16_21_Q_res",variant2)
S24_M2_B16_Li_16_21_Q_res.set_writable(True)
S24_M2_B16_Li_16_21_V_res =S24.add_variable(addspace,"S24_M2_B16_Li_16_21_V_res",variant2)
S24_M2_B16_Li_16_21_V_res.set_writable(True)
S24_M3_B16_Li_16_19_CB_ctrl =S24.add_variable(addspace,"S24_M3_B16_Li_16_19_CB_ctrl",variant)
S24_M3_B16_Li_16_19_CB_ctrl.set_writable(True)
S24_M3_B16_Li_16_19_CB_res =S24.add_variable(addspace,"S24_M3_B16_Li_16_19_CB_res",variant2)
S24_M3_B16_Li_16_19_CB_res.set_writable(True)
S24_M3_B16_Li_16_19_I_res =S24.add_variable(addspace,"S24_M3_B16_Li_16_19_I_res",variant2)
S24_M3_B16_Li_16_19_I_res.set_writable(True)
S24_M3_B16_Li_16_19_P_res =S24.add_variable(addspace,"S24_M3_B16_Li_16_19_P_res",variant2)
S24_M3_B16_Li_16_19_P_res.set_writable(True)
S24_M3_B16_Li_16_19_Q_res =S24.add_variable(addspace,"S24_M3_B16_Li_16_19_Q_res",variant2)
S24_M3_B16_Li_16_19_Q_res.set_writable(True)
S24_M3_B16_Li_16_19_V_res =S24.add_variable(addspace,"S24_M3_B16_Li_16_19_V_res",variant2)
S24_M3_B16_Li_16_19_V_res.set_writable(True)
S24_M4_B16_Li_16_17_CB_ctrl =S24.add_variable(addspace,"S24_M4_B16_Li_16_17_CB_ctrl",variant)
S24_M4_B16_Li_16_17_CB_ctrl.set_writable(True)
S24_M4_B16_Li_16_17_CB_res =S24.add_variable(addspace,"S24_M4_B16_Li_16_17_CB_res",variant2)
S24_M4_B16_Li_16_17_CB_res.set_writable(True)
S24_M4_B16_Li_16_17_I_res =S24.add_variable(addspace,"S24_M4_B16_Li_16_17_I_res",variant2)
S24_M4_B16_Li_16_17_I_res.set_writable(True)
S24_M4_B16_Li_16_17_P_res =S24.add_variable(addspace,"S24_M4_B16_Li_16_17_P_res",variant2)
S24_M4_B16_Li_16_17_P_res.set_writable(True)
S24_M4_B16_Li_16_17_Q_res =S24.add_variable(addspace,"S24_M4_B16_Li_16_17_Q_res",variant2)
S24_M4_B16_Li_16_17_Q_res.set_writable(True)
S24_M4_B16_Li_16_17_V_res =S24.add_variable(addspace,"S24_M4_B16_Li_16_17_V_res",variant2)
S24_M4_B16_Li_16_17_V_res.set_writable(True)
S24_M5_B16_Li_15_16_CB_ctrl =S24.add_variable(addspace,"S24_M5_B16_Li_15_16_CB_ctrl",variant)
S24_M5_B16_Li_15_16_CB_ctrl.set_writable(True)
S24_M5_B16_Li_15_16_CB_res =S24.add_variable(addspace,"S24_M5_B16_Li_15_16_CB_res",variant2)
S24_M5_B16_Li_15_16_CB_res.set_writable(True)
S24_M5_B16_Li_15_16_I_res =S24.add_variable(addspace,"S24_M5_B16_Li_15_16_I_res",variant2)
S24_M5_B16_Li_15_16_I_res.set_writable(True)
S24_M5_B16_Li_15_16_P_res =S24.add_variable(addspace,"S24_M5_B16_Li_15_16_P_res",variant2)
S24_M5_B16_Li_15_16_P_res.set_writable(True)
S24_M5_B16_Li_15_16_Q_res =S24.add_variable(addspace,"S24_M5_B16_Li_15_16_Q_res",variant2)
S24_M5_B16_Li_15_16_Q_res.set_writable(True)
S24_M5_B16_Li_15_16_V_res =S24.add_variable(addspace,"S24_M5_B16_Li_15_16_V_res",variant2)
S24_M5_B16_Li_15_16_V_res.set_writable(True)
S24_M6_B16_Ld16_CB_ctrl =S24.add_variable(addspace,"S24_M6_B16_Ld16_CB_ctrl",variant)
S24_M6_B16_Ld16_CB_ctrl.set_writable(True)
S24_M6_B16_Ld16_CB_res =S24.add_variable(addspace,"S24_M6_B16_Ld16_CB_res",variant2)
S24_M6_B16_Ld16_CB_res.set_writable(True)
S24_M6_B16_Ld16_f_res =S24.add_variable(addspace,"S24_M6_B16_Ld16_f_res",variant2)
S24_M6_B16_Ld16_f_res.set_writable(True)
S24_M6_B16_Ld16_I_res =S24.add_variable(addspace,"S24_M6_B16_Ld16_I_res",variant2)
S24_M6_B16_Ld16_I_res.set_writable(True)
S24_M6_B16_Ld16_P_res =S24.add_variable(addspace,"S24_M6_B16_Ld16_P_res",variant2)
S24_M6_B16_Ld16_P_res.set_writable(True)
S24_M6_B16_Ld16_Q_res =S24.add_variable(addspace,"S24_M6_B16_Ld16_Q_res",variant2)
S24_M6_B16_Ld16_Q_res.set_writable(True)
S24_M6_B16_Ld16_V_res =S24.add_variable(addspace,"S24_M6_B16_Ld16_V_res",variant2)
S24_M6_B16_Ld16_V_res.set_writable(True)
S25_M1_B21_Li_16_21_CB_ctrl =S25.add_variable(addspace,"S25_M1_B21_Li_16_21_CB_ctrl",variant)
S25_M1_B21_Li_16_21_CB_ctrl.set_writable(True)
S25_M1_B21_Li_16_21_CB_res =S25.add_variable(addspace,"S25_M1_B21_Li_16_21_CB_res",variant2)
S25_M1_B21_Li_16_21_CB_res.set_writable(True)
S25_M1_B21_Li_16_21_I_res =S25.add_variable(addspace,"S25_M1_B21_Li_16_21_I_res",variant2)
S25_M1_B21_Li_16_21_I_res.set_writable(True)
S25_M1_B21_Li_16_21_P_res =S25.add_variable(addspace,"S25_M1_B21_Li_16_21_P_res",variant2)
S25_M1_B21_Li_16_21_P_res.set_writable(True)
S25_M1_B21_Li_16_21_Q_res =S25.add_variable(addspace,"S25_M1_B21_Li_16_21_Q_res",variant2)
S25_M1_B21_Li_16_21_Q_res.set_writable(True)
S25_M1_B21_Li_16_21_V_res =S25.add_variable(addspace,"S25_M1_B21_Li_16_21_V_res",variant2)
S25_M1_B21_Li_16_21_V_res.set_writable(True)
S25_M2_B21_Li_21_22_CB_ctrl =S25.add_variable(addspace,"S25_M2_B21_Li_21_22_CB_ctrl",variant)
S25_M2_B21_Li_21_22_CB_ctrl.set_writable(True)
S25_M2_B21_Li_21_22_CB_res =S25.add_variable(addspace,"S25_M2_B21_Li_21_22_CB_res",variant2)
S25_M2_B21_Li_21_22_CB_res.set_writable(True)
S25_M2_B21_Li_21_22_I_res =S25.add_variable(addspace,"S25_M2_B21_Li_21_22_I_res",variant2)
S25_M2_B21_Li_21_22_I_res.set_writable(True)
S25_M2_B21_Li_21_22_P_res =S25.add_variable(addspace,"S25_M2_B21_Li_21_22_P_res",variant2)
S25_M2_B21_Li_21_22_P_res.set_writable(True)
S25_M2_B21_Li_21_22_Q_res =S25.add_variable(addspace,"S25_M2_B21_Li_21_22_Q_res",variant2)
S25_M2_B21_Li_21_22_Q_res.set_writable(True)
S25_M2_B21_Li_21_22_V_res =S25.add_variable(addspace,"S25_M2_B21_Li_21_22_V_res",variant2)
S25_M2_B21_Li_21_22_V_res.set_writable(True)
S25_M3_B21_Ld21_CB_ctrl =S25.add_variable(addspace,"S25_M3_B21_Ld21_CB_ctrl",variant)
S25_M3_B21_Ld21_CB_ctrl.set_writable(True)
S25_M3_B21_Ld21_CB_res =S25.add_variable(addspace,"S25_M3_B21_Ld21_CB_res",variant2)
S25_M3_B21_Ld21_CB_res.set_writable(True)
S25_M3_B21_Ld21_f_res =S25.add_variable(addspace,"S25_M3_B21_Ld21_f_res",variant2)
S25_M3_B21_Ld21_f_res.set_writable(True)
S25_M3_B21_Ld21_I_res =S25.add_variable(addspace,"S25_M3_B21_Ld21_I_res",variant2)
S25_M3_B21_Ld21_I_res.set_writable(True)
S25_M3_B21_Ld21_P_res =S25.add_variable(addspace,"S25_M3_B21_Ld21_P_res",variant2)
S25_M3_B21_Ld21_P_res.set_writable(True)
S25_M3_B21_Ld21_Q_res =S25.add_variable(addspace,"S25_M3_B21_Ld21_Q_res",variant2)
S25_M3_B21_Ld21_Q_res.set_writable(True)
S25_M3_B21_Ld21_V_res =S25.add_variable(addspace,"S25_M3_B21_Ld21_V_res",variant2)
S25_M3_B21_Ld21_V_res.set_writable(True)
S26_M1_B15_Li_15_16_CB_ctrl =S26.add_variable(addspace,"S26_M1_B15_Li_15_16_CB_ctrl",variant)
S26_M1_B15_Li_15_16_CB_ctrl.set_writable(True)
S26_M1_B15_Li_15_16_CB_res =S26.add_variable(addspace,"S26_M1_B15_Li_15_16_CB_res",variant2)
S26_M1_B15_Li_15_16_CB_res.set_writable(True)
S26_M1_B15_Li_15_16_I_res =S26.add_variable(addspace,"S26_M1_B15_Li_15_16_I_res",variant2)
S26_M1_B15_Li_15_16_I_res.set_writable(True)
S26_M1_B15_Li_15_16_P_res =S26.add_variable(addspace,"S26_M1_B15_Li_15_16_P_res",variant2)
S26_M1_B15_Li_15_16_P_res.set_writable(True)
S26_M1_B15_Li_15_16_Q_res =S26.add_variable(addspace,"S26_M1_B15_Li_15_16_Q_res",variant2)
S26_M1_B15_Li_15_16_Q_res.set_writable(True)
S26_M1_B15_Li_15_16_V_res =S26.add_variable(addspace,"S26_M1_B15_Li_15_16_V_res",variant2)
S26_M1_B15_Li_15_16_V_res.set_writable(True)
S26_M2_B15_Li_14_15_CB_ctrl =S26.add_variable(addspace,"S26_M2_B15_Li_14_15_CB_ctrl",variant)
S26_M2_B15_Li_14_15_CB_ctrl.set_writable(True)
S26_M2_B15_Li_14_15_CB_res =S26.add_variable(addspace,"S26_M2_B15_Li_14_15_CB_res",variant2)
S26_M2_B15_Li_14_15_CB_res.set_writable(True)
S26_M2_B15_Li_14_15_I_res =S26.add_variable(addspace,"S26_M2_B15_Li_14_15_I_res",variant2)
S26_M2_B15_Li_14_15_I_res.set_writable(True)
S26_M2_B15_Li_14_15_P_res =S26.add_variable(addspace,"S26_M2_B15_Li_14_15_P_res",variant2)
S26_M2_B15_Li_14_15_P_res.set_writable(True)
S26_M2_B15_Li_14_15_Q_res =S26.add_variable(addspace,"S26_M2_B15_Li_14_15_Q_res",variant2)
S26_M2_B15_Li_14_15_Q_res.set_writable(True)
S26_M2_B15_Li_14_15_V_res =S26.add_variable(addspace,"S26_M2_B15_Li_14_15_V_res",variant2)
S26_M2_B15_Li_14_15_V_res.set_writable(True)
S26_M3_B15_Ld15_CB_ctrl =S26.add_variable(addspace,"S26_M3_B15_Ld15_CB_ctrl",variant)
S26_M3_B15_Ld15_CB_ctrl.set_writable(True)
S26_M3_B15_Ld15_CB_res =S26.add_variable(addspace,"S26_M3_B15_Ld15_CB_res",variant2)
S26_M3_B15_Ld15_CB_res.set_writable(True)
S26_M3_B15_Ld15_f_res =S26.add_variable(addspace,"S26_M3_B15_Ld15_f_res",variant2)
S26_M3_B15_Ld15_f_res.set_writable(True)
S26_M3_B15_Ld15_I_res =S26.add_variable(addspace,"S26_M3_B15_Ld15_I_res",variant2)
S26_M3_B15_Ld15_I_res.set_writable(True)
S26_M3_B15_Ld15_P_res =S26.add_variable(addspace,"S26_M3_B15_Ld15_P_res",variant2)
S26_M3_B15_Ld15_P_res.set_writable(True)
S26_M3_B15_Ld15_Q_res =S26.add_variable(addspace,"S26_M3_B15_Ld15_Q_res",variant2)
S26_M3_B15_Ld15_Q_res.set_writable(True)
S26_M3_B15_Ld15_V_res =S26.add_variable(addspace,"S26_M3_B15_Ld15_V_res",variant2)
S26_M3_B15_Ld15_V_res.set_writable(True)
S27_M1_B14_Li_14_15_CB_ctrl =S27.add_variable(addspace,"S27_M1_B14_Li_14_15_CB_ctrl",variant)
S27_M1_B14_Li_14_15_CB_ctrl.set_writable(True)
S27_M1_B14_Li_14_15_CB_res =S27.add_variable(addspace,"S27_M1_B14_Li_14_15_CB_res",variant2)
S27_M1_B14_Li_14_15_CB_res.set_writable(True)
S27_M1_B14_Li_14_15_I_res =S27.add_variable(addspace,"S27_M1_B14_Li_14_15_I_res",variant2)
S27_M1_B14_Li_14_15_I_res.set_writable(True)
S27_M1_B14_Li_14_15_P_res =S27.add_variable(addspace,"S27_M1_B14_Li_14_15_P_res",variant2)
S27_M1_B14_Li_14_15_P_res.set_writable(True)
S27_M1_B14_Li_14_15_Q_res =S27.add_variable(addspace,"S27_M1_B14_Li_14_15_Q_res",variant2)
S27_M1_B14_Li_14_15_Q_res.set_writable(True)
S27_M1_B14_Li_14_15_V_res =S27.add_variable(addspace,"S27_M1_B14_Li_14_15_V_res",variant2)
S27_M1_B14_Li_14_15_V_res.set_writable(True)
S27_M2_B14_Li_13_14_CB_ctrl =S27.add_variable(addspace,"S27_M2_B14_Li_13_14_CB_ctrl",variant)
S27_M2_B14_Li_13_14_CB_ctrl.set_writable(True)
S27_M2_B14_Li_13_14_CB_res =S27.add_variable(addspace,"S27_M2_B14_Li_13_14_CB_res",variant2)
S27_M2_B14_Li_13_14_CB_res.set_writable(True)
S27_M2_B14_Li_13_14_f_res =S27.add_variable(addspace,"S27_M2_B14_Li_13_14_f_res",variant2)
S27_M2_B14_Li_13_14_f_res.set_writable(True)
S27_M2_B14_Li_13_14_I_res =S27.add_variable(addspace,"S27_M2_B14_Li_13_14_I_res",variant2)
S27_M2_B14_Li_13_14_I_res.set_writable(True)
S27_M2_B14_Li_13_14_P_res =S27.add_variable(addspace,"S27_M2_B14_Li_13_14_P_res",variant2)
S27_M2_B14_Li_13_14_P_res.set_writable(True)
S27_M2_B14_Li_13_14_Q_res =S27.add_variable(addspace,"S27_M2_B14_Li_13_14_Q_res",variant2)
S27_M2_B14_Li_13_14_Q_res.set_writable(True)
S27_M2_B14_Li_13_14_V_res =S27.add_variable(addspace,"S27_M2_B14_Li_13_14_V_res",variant2)
S27_M2_B14_Li_13_14_V_res.set_writable(True)
S27_M3_B14_Li_04_14_CB_ctrl =S27.add_variable(addspace,"S27_M3_B14_Li_04_14_CB_ctrl",variant)
S27_M3_B14_Li_04_14_CB_ctrl.set_writable(True)
S27_M3_B14_Li_04_14_CB_res =S27.add_variable(addspace,"S27_M3_B14_Li_04_14_CB_res",variant2)
S27_M3_B14_Li_04_14_CB_res.set_writable(True)
S27_M3_B14_Li_04_14_I_res =S27.add_variable(addspace,"S27_M3_B14_Li_04_14_I_res",variant2)
S27_M3_B14_Li_04_14_I_res.set_writable(True)
S27_M3_B14_Li_04_14_P_res =S27.add_variable(addspace,"S27_M3_B14_Li_04_14_P_res",variant2)
S27_M3_B14_Li_04_14_P_res.set_writable(True)
S27_M3_B14_Li_04_14_Q_res =S27.add_variable(addspace,"S27_M3_B14_Li_04_14_Q_res",variant2)
S27_M3_B14_Li_04_14_Q_res.set_writable(True)
S27_M3_B14_Li_04_14_V_res =S27.add_variable(addspace,"S27_M3_B14_Li_04_14_V_res",variant2)
S27_M3_B14_Li_04_14_V_res.set_writable(True)
server.start()
print("Server start at {}".format(url))
"""
i = 1
while i < 5:
time.sleep(0.001)
server.stop()
"""
"""
idx = server.register_namespace(uri)
server.start()
objects = server.get_objects_node()
self.pfGroup = objects.add_object(idx, "PF")
pfVar = self.pfGroup.add_variable(idx, var.aliasName, variant)
"""
| 64.251483
| 97
| 0.876126
| 23,962
| 108,328
| 3.272223
| 0.010099
| 0.112372
| 0.193855
| 0.143249
| 0.979683
| 0.974072
| 0.885102
| 0.865615
| 0.5996
| 0.437654
| 0
| 0.194634
| 0.039667
| 108,328
| 1,685
| 98
| 64.289614
| 0.559074
| 0.000452
| 0
| 0.002427
| 0
| 0
| 0.178996
| 0.144873
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.003641
| 0
| 0.003641
| 0.000607
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
4ea9b87dc5ba952a8b7f5b92d2636bf2fb068f6d
| 34
|
py
|
Python
|
problem/01000~09999/05949/5949.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-19T16:37:44.000Z
|
2019-04-19T16:37:44.000Z
|
problem/01000~09999/05949/5949.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-20T11:42:44.000Z
|
2019-04-20T11:42:44.000Z
|
problem/01000~09999/05949/5949.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 3
|
2019-04-19T16:37:47.000Z
|
2021-10-25T00:45:00.000Z
|
print("{:,}".format(int(input())))
| 34
| 34
| 0.558824
| 4
| 34
| 4.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 34
| 1
| 34
| 34
| 0.558824
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
4eb7b2e83829eab6a05016acb3957d4268fad386
| 176
|
py
|
Python
|
oozer/tasks.py
|
panoramichq/data-collection-fb
|
550b90a303c880ae8c3dfd2801dc4f991a969f89
|
[
"MIT"
] | null | null | null |
oozer/tasks.py
|
panoramichq/data-collection-fb
|
550b90a303c880ae8c3dfd2801dc4f991a969f89
|
[
"MIT"
] | null | null | null |
oozer/tasks.py
|
panoramichq/data-collection-fb
|
550b90a303c880ae8c3dfd2801dc4f991a969f89
|
[
"MIT"
] | null | null | null |
# flake8: noqa: F401
from oozer.echo_task import echo
from oozer.full_loop_task import run_sweeps_forever_task
from oozer.sync_expectations_task import sync_expectations_task
| 29.333333
| 63
| 0.869318
| 28
| 176
| 5.107143
| 0.535714
| 0.188811
| 0.27972
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025157
| 0.096591
| 176
| 5
| 64
| 35.2
| 0.874214
| 0.102273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
14e40839e97f088ee9d37098f552059a3ac3f891
| 109
|
py
|
Python
|
plotly/validators/violin/meanline/__init__.py
|
gnestor/plotly.py
|
a8ae062795ddbf9867b8578fe6d9e244948c15ff
|
[
"MIT"
] | 12
|
2020-04-18T18:10:22.000Z
|
2021-12-06T10:11:15.000Z
|
plotly/validators/violin/meanline/__init__.py
|
Vesauza/plotly.py
|
e53e626d59495d440341751f60aeff73ff365c28
|
[
"MIT"
] | 27
|
2020-04-28T21:23:12.000Z
|
2021-06-25T15:36:38.000Z
|
plotly/validators/violin/meanline/__init__.py
|
Vesauza/plotly.py
|
e53e626d59495d440341751f60aeff73ff365c28
|
[
"MIT"
] | 6
|
2020-04-18T23:07:08.000Z
|
2021-11-18T07:53:06.000Z
|
from ._width import WidthValidator
from ._visible import VisibleValidator
from ._color import ColorValidator
| 27.25
| 38
| 0.862385
| 12
| 109
| 7.583333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.110092
| 109
| 3
| 39
| 36.333333
| 0.938144
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
14ee93f21c146f6a93c6f61f18678b7bd0d76ec9
| 144
|
py
|
Python
|
liao_xue_feng/_5_modularization/test.py
|
yellowb/ml-sample
|
2f283c39d0d7ed4bafc324632100a17da0088237
|
[
"MIT"
] | null | null | null |
liao_xue_feng/_5_modularization/test.py
|
yellowb/ml-sample
|
2f283c39d0d7ed4bafc324632100a17da0088237
|
[
"MIT"
] | null | null | null |
liao_xue_feng/_5_modularization/test.py
|
yellowb/ml-sample
|
2f283c39d0d7ed4bafc324632100a17da0088237
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# test importing my module
from liao_xue_feng._5_modularization.yellowb.util import calculate
print(calculate(2, 3))
| 18
| 66
| 0.743056
| 21
| 144
| 4.904762
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032
| 0.131944
| 144
| 7
| 67
| 20.571429
| 0.792
| 0.319444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
0902dbadc86ea1d2d91c71d616f35eac4eee5e30
| 311
|
py
|
Python
|
python_programs/to_base_test.py
|
vitchyr/QuixBugs
|
1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2
|
[
"MIT"
] | null | null | null |
python_programs/to_base_test.py
|
vitchyr/QuixBugs
|
1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2
|
[
"MIT"
] | null | null | null |
python_programs/to_base_test.py
|
vitchyr/QuixBugs
|
1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2
|
[
"MIT"
] | null | null | null |
from .to_base import to_base
def test_main():
assert to_base(31, 2) == '11111'
assert to_base(32, 2) == '100000'
assert to_base(32, 4) == '200'
assert to_base(32, 13) == '26'
assert to_base(432, 7) == '1155'
assert to_base(31, 16) == '1F'
if __name__ == "__main__":
test_main()
| 19.4375
| 37
| 0.59164
| 50
| 311
| 3.32
| 0.48
| 0.289157
| 0.433735
| 0.253012
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177215
| 0.237942
| 311
| 15
| 38
| 20.733333
| 0.523207
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 0
| 0
| 0
| 0
| 0
| 0.6
| 1
| 0.1
| true
| 0
| 0.1
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
095a42c08d1dfa4f4b0db3fbd8d0cef53a56293f
| 317
|
py
|
Python
|
website/webapps/django/myproject/myproject/settings/installed_apps/cmsplugin_blog.py
|
bitmazk/webfaction-django1.4-boilerplate
|
dd563733c8b5f8b5ec93dd064f334d10778e8baa
|
[
"MIT"
] | null | null | null |
website/webapps/django/myproject/myproject/settings/installed_apps/cmsplugin_blog.py
|
bitmazk/webfaction-django1.4-boilerplate
|
dd563733c8b5f8b5ec93dd064f334d10778e8baa
|
[
"MIT"
] | 3
|
2020-02-11T22:08:14.000Z
|
2021-06-10T17:40:33.000Z
|
website/webapps/django/myproject/myproject/settings/installed_apps/cmsplugin_blog.py
|
bitlabstudio/webfaction-django1.4-boilerplate
|
dd563733c8b5f8b5ec93dd064f334d10778e8baa
|
[
"MIT"
] | null | null | null |
"""Settings for the ``cmsplugin_blog`` app."""
JQUERY_JS = 'https://ajax.googleapis.com/ajax/libs/jquery/1.4.4/jquery.min.js'
JQUERY_UI_JS = 'https://ajax.googleapis.com/ajax/libs/jqueryui/1.8.12/jquery-ui.min.js'
JQUERY_UI_CSS = 'http://ajax.googleapis.com/ajax/libs/jqueryui/1.8.12/themes/smoothness/jquery-ui.css'
| 63.4
| 102
| 0.750789
| 56
| 317
| 4.142857
| 0.428571
| 0.137931
| 0.219828
| 0.271552
| 0.487069
| 0.487069
| 0.487069
| 0.318966
| 0.318966
| 0
| 0
| 0.036304
| 0.044164
| 317
| 4
| 103
| 79.25
| 0.729373
| 0.126183
| 0
| 0
| 0
| 1
| 0.804428
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
095ba8e7b62d4bc7ef2feaa869c01cbd7c53da4e
| 504
|
py
|
Python
|
测试/pytest-codes/test_warns.py
|
hhyluor/Code_Repository-
|
0b692bcd5b00312b5c9fd19d55b50c495d27de2b
|
[
"MIT"
] | null | null | null |
测试/pytest-codes/test_warns.py
|
hhyluor/Code_Repository-
|
0b692bcd5b00312b5c9fd19d55b50c495d27de2b
|
[
"MIT"
] | null | null | null |
测试/pytest-codes/test_warns.py
|
hhyluor/Code_Repository-
|
0b692bcd5b00312b5c9fd19d55b50c495d27de2b
|
[
"MIT"
] | null | null | null |
import pytest
# 前置被测试代码
import warnings
def make_warn():
# 抛出异常
warnings.warn("deprecated", DeprecationWarning)
def not_warn():
pass
def user_warn():
warnings.warn("user warn", UserWarning)
# with pytest.warns(预期的警告):
# 被测试的代码
def test_dep_warn():
with pytest.warns(DeprecationWarning):
make_warn()
def test_no_warn():
with pytest.warns(DeprecationWarning):
not_warn()
def test_user_warn():
with pytest.warns(UserWarning):
user_warn()
| 14
| 51
| 0.672619
| 60
| 504
| 5.45
| 0.35
| 0.097859
| 0.183486
| 0.174312
| 0.2263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.21627
| 504
| 35
| 52
| 14.4
| 0.827848
| 0.095238
| 0
| 0.117647
| 0
| 0
| 0.042129
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.352941
| true
| 0.058824
| 0.117647
| 0
| 0.470588
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
095dc4c02f9ac6029206e546e6166984b09379f5
| 376
|
py
|
Python
|
lib/googlecloudsdk/third_party/apis/dataproc/v1/__init__.py
|
bopopescu/SDK
|
e6d9aaee2456f706d1d86e8ec2a41d146e33550d
|
[
"Apache-2.0"
] | null | null | null |
lib/googlecloudsdk/third_party/apis/dataproc/v1/__init__.py
|
bopopescu/SDK
|
e6d9aaee2456f706d1d86e8ec2a41d146e33550d
|
[
"Apache-2.0"
] | null | null | null |
lib/googlecloudsdk/third_party/apis/dataproc/v1/__init__.py
|
bopopescu/SDK
|
e6d9aaee2456f706d1d86e8ec2a41d146e33550d
|
[
"Apache-2.0"
] | 2
|
2020-11-04T03:08:21.000Z
|
2020-11-05T08:14:41.000Z
|
"""Common imports for generated dataproc client library."""
# pylint:disable=wildcard-import
import pkgutil
from googlecloudsdk.third_party.apitools.base.py import *
from googlecloudsdk.third_party.apis.dataproc.v1.dataproc_v1_client import *
from googlecloudsdk.third_party.apis.dataproc.v1.dataproc_v1_messages import *
__path__ = pkgutil.extend_path(__path__, __name__)
| 34.181818
| 78
| 0.832447
| 49
| 376
| 5.979592
| 0.510204
| 0.136519
| 0.235495
| 0.286689
| 0.395904
| 0.395904
| 0.395904
| 0.395904
| 0.395904
| 0.395904
| 0
| 0.011561
| 0.079787
| 376
| 10
| 79
| 37.6
| 0.83526
| 0.226064
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
117c2d140cd56b78e0ca3a2f976e67dea7bc0806
| 312
|
py
|
Python
|
podoc/markdown/__init__.py
|
podoc/podoc
|
1868e7f82a521b1722dca528802acedf9010b11a
|
[
"BSD-3-Clause"
] | 54
|
2015-09-28T11:00:47.000Z
|
2021-11-10T13:38:56.000Z
|
podoc/markdown/__init__.py
|
podoc/podoc
|
1868e7f82a521b1722dca528802acedf9010b11a
|
[
"BSD-3-Clause"
] | 36
|
2015-09-14T15:50:44.000Z
|
2018-10-16T02:44:27.000Z
|
podoc/markdown/__init__.py
|
podoc/podoc
|
1868e7f82a521b1722dca528802acedf9010b11a
|
[
"BSD-3-Clause"
] | 9
|
2015-09-15T07:15:00.000Z
|
2018-05-29T02:11:38.000Z
|
# -*- coding: utf-8 -*-
# flake8: noqa
"""Markdown plugin."""
#-------------------------------------------------------------------------------------------------
# Imports
#-------------------------------------------------------------------------------------------------
from ._markdown import MarkdownPlugin
| 26
| 98
| 0.237179
| 12
| 312
| 6.083333
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006897
| 0.070513
| 312
| 11
| 99
| 28.363636
| 0.244828
| 0.814103
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
118f732d0ada3810ea93f7a9c6291e64711ae15e
| 143
|
py
|
Python
|
masif/nn_models/masif_peptides/shape_only/custom_params.py
|
edraizen/masif
|
d8b96275d8b32ba36db1d459bb52c0629a4bd7dd
|
[
"Apache-2.0"
] | 2
|
2022-02-24T00:47:03.000Z
|
2022-02-24T00:47:10.000Z
|
masif/nn_models/masif_peptides/shape_only/custom_params.py
|
edraizen/masif
|
d8b96275d8b32ba36db1d459bb52c0629a4bd7dd
|
[
"Apache-2.0"
] | null | null | null |
masif/nn_models/masif_peptides/shape_only/custom_params.py
|
edraizen/masif
|
d8b96275d8b32ba36db1d459bb52c0629a4bd7dd
|
[
"Apache-2.0"
] | 2
|
2021-10-21T00:53:24.000Z
|
2021-11-14T05:26:32.000Z
|
{
'model_dir': '{this_dir}/model_data/',
'out_dir': 'output/masif_peptides/shape_only/',
'feat_mask': [1.0, 1.0, 0.0, 0.0, 0.0],
}
| 23.833333
| 51
| 0.58042
| 25
| 143
| 3.04
| 0.56
| 0.157895
| 0.197368
| 0.210526
| 0.092105
| 0.092105
| 0
| 0
| 0
| 0
| 0
| 0.084034
| 0.167832
| 143
| 5
| 52
| 28.6
| 0.554622
| 0
| 0
| 0
| 0
| 0
| 0.559441
| 0.384615
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
1192d4c7080f6319924030a1888145b01676ef79
| 3,467
|
py
|
Python
|
plankton_core/dataimport_utils.py
|
planktontoolbox/plankton-toolbox
|
626930120329983fb9419a9aed94712148bac219
|
[
"MIT"
] | 5
|
2016-12-02T08:24:35.000Z
|
2021-02-24T08:41:41.000Z
|
plankton_core/dataimport_utils.py
|
planktontoolbox/plankton-toolbox
|
626930120329983fb9419a9aed94712148bac219
|
[
"MIT"
] | 53
|
2016-11-14T13:11:41.000Z
|
2022-01-13T09:28:11.000Z
|
plankton_core/dataimport_utils.py
|
planktontoolbox/plankton-toolbox
|
626930120329983fb9419a9aed94712148bac219
|
[
"MIT"
] | 1
|
2020-11-27T01:20:10.000Z
|
2020-11-27T01:20:10.000Z
|
#!/usr/bin/python3
# -*- coding:utf-8 -*-
# Project: http://plankton-toolbox.org
# Copyright (c) 2010-2018 SMHI, Swedish Meteorological and Hydrological Institute
# License: MIT License (see LICENSE.txt or http://opensource.org/licenses/mit).
# import toolbox_utils
# import plankton_core
class DataImportUtils(object):
""" """
def __init__(self):
""" """
def cleanup_scientific_name_cf(self, scientific_name, species_flag):
""" """
new_scientific_name = scientific_name
new_species_flag = species_flag
# Remove 'cf.'
if ' cf. '.upper() in (' ' + new_scientific_name + ' ').upper():
parts = new_scientific_name.split(' ')
# parts = map(str.strip, parts) # Remove white characters.
parts = [str.strip(x) for x in parts] # Remove white characters.
speciesname = ''
for part in parts:
if part not in ['cf.', 'CF.', 'cf', 'CF']:
speciesname += part + ' '
#
new_scientific_name = speciesname.strip()
#
if len(new_species_flag) > 0:
new_species_flag = 'cf., ' + new_species_flag
else:
new_species_flag = 'cf.'
#
return new_scientific_name, new_species_flag
def cleanup_scientific_name_sp(self, scientific_name, species_flag):
""" """
new_scientific_name = scientific_name
new_species_flag = species_flag
# Remove 'sp.'
if (' sp.'.upper() in (new_scientific_name + ' ').upper()) or \
(' sp '.upper() in (new_scientific_name + ' ').upper()):
parts = new_scientific_name.split(' ')
# parts = map(str.strip, parts) # Remove white characters.
parts = [str.strip(x) for x in parts] # Remove white characters.
speciesname = ''
for part in parts:
if part not in ['sp.', 'SP.', 'sp', 'SP']:
speciesname += part + ' '
#
new_scientific_name = speciesname.strip()
#
if len(new_species_flag) > 0:
new_species_flag = 'sp., ' + new_species_flag
else:
new_species_flag = 'sp.'
#
return new_scientific_name, new_species_flag
def cleanup_scientific_name_spp(self, scientific_name, species_flag):
""" """
new_scientific_name = scientific_name
new_species_flag = species_flag
# Remove 'spp.'
if (' spp.'.upper() in (new_scientific_name + ' ').upper()) or \
(' spp '.upper() in (new_scientific_name + ' ').upper()):
parts = new_scientific_name.split(' ')
# parts = map(str.strip, parts) # Remove white characters.
parts = [str.strip(x) for x in parts] # Remove white characters.
speciesname = ''
for part in parts:
if part not in ['spp.', 'SPP.', 'spp', 'SPP']:
speciesname += part + ' '
#
new_scientific_name = speciesname.strip()
#
if len(new_species_flag) > 0:
new_species_flag = 'spp., ' + new_species_flag
else:
new_species_flag = 'spp.'
#
return new_scientific_name, new_species_flag
| 40.313953
| 83
| 0.525815
| 358
| 3,467
| 4.821229
| 0.184358
| 0.210892
| 0.146002
| 0.08343
| 0.803013
| 0.803013
| 0.803013
| 0.684241
| 0.684241
| 0.684241
| 0
| 0.00584
| 0.357946
| 3,467
| 85
| 84
| 40.788235
| 0.769542
| 0.171618
| 0
| 0.634615
| 0
| 0
| 0.034875
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.019231
| 0
| 0.173077
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
11d2bf0e2e73866406761e4f435733739ae34aae
| 153
|
py
|
Python
|
tests/run_all_timings.py
|
BeamIO-Inc/resippy
|
37f6b8e865f4836696a9db0a4b17eae2426cdd96
|
[
"BSD-3-Clause"
] | 11
|
2019-03-30T02:32:13.000Z
|
2021-11-02T23:15:17.000Z
|
tests/run_all_timings.py
|
BeamIO-Inc/resippy
|
37f6b8e865f4836696a9db0a4b17eae2426cdd96
|
[
"BSD-3-Clause"
] | 10
|
2019-02-28T21:24:01.000Z
|
2019-12-31T15:02:03.000Z
|
tests/run_all_timings.py
|
BeamIO-Inc/resippy
|
37f6b8e865f4836696a9db0a4b17eae2426cdd96
|
[
"BSD-3-Clause"
] | 4
|
2019-08-16T22:20:23.000Z
|
2021-04-27T08:23:01.000Z
|
from resippy.test_runner.timings import test_point_calc_timings
def main():
test_point_calc_timings.main()
if __name__ == '__main__':
main()
| 15.3
| 63
| 0.745098
| 21
| 153
| 4.714286
| 0.571429
| 0.181818
| 0.262626
| 0.40404
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156863
| 153
| 9
| 64
| 17
| 0.767442
| 0
| 0
| 0
| 0
| 0
| 0.052288
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.2
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
eecf9422bc8c680e2de67d9b194e5a7037892bf4
| 11,561
|
py
|
Python
|
ssl_image_classification/libml/models.py
|
JanMarcelKezmann/Semi-Supervised-Learning-Image-Classification
|
b32599d1a5f28beefb4f9a744087e1dc47bd9906
|
[
"MIT"
] | 4
|
2021-04-16T18:56:46.000Z
|
2021-11-18T07:14:04.000Z
|
ssl_image_classification/libml/models.py
|
JanMarcelKezmann/Semi-Supervised-Learning-Image-Classification
|
b32599d1a5f28beefb4f9a744087e1dc47bd9906
|
[
"MIT"
] | 2
|
2022-02-05T16:55:14.000Z
|
2022-03-06T11:04:23.000Z
|
ssl_image_classification/libml/models.py
|
JanMarcelKezmann/Semi-Supervised-Learning-Image-Classification
|
b32599d1a5f28beefb4f9a744087e1dc47bd9906
|
[
"MIT"
] | 2
|
2022-02-08T12:43:49.000Z
|
2022-03-06T10:47:56.000Z
|
import tensorflow as tf
def get_model(name="ResNet50", weights=None, height=None, width=None,
classes=None, include_top=True, pooling=None, alpha=1.0,
classifier_activation=None, depth_multiplier=1.0, dropout=0.001):
"""
Returns the tf.keras.applications model of choise with weight, height, width and further configurations.
Args:
name: string, name of the model
weights: One of None (random initialization), 'imagenet' (pre-training on ImageNet)
height: int, height of model inputs
width: int, width of model inputs
classes: int, number of classes
include_top: Boolean, Whether to include the fully-connected layer at the top of the network.
pooling: Optional pooling mode for feature extraction when include_top is False. Options are one of [None, "avg", "max"]
classifier_activation: A str or callable. The activation function to use on the "top" layer. Ignored unless include_top=True.
Set classifier_activation=None to return the logits of the "top" layer.
alpha: float, between 0 and 1, controls the width of the network. (MobilieNet and MobileNetV2 only)
depth_multiplier: float, depth multiplier for depthwise convolution. (MobileNet only)
dropout: float, dropout rate (MobileNet only)
Returns:
tf.keras.applications Model
"""
if not isinstance(height, int) or not isinstance(width, int):
raise TypeError("'height' and 'width' need to be of type 'int'")
if name.lower() == "densenet121":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.DenseNet121(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "densenet169":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.DenseNet169(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "densenet201":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.DenseNet201(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb0":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB0(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb1":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB1(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb2":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB2(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb3":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB3(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb4":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB4(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb5":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB5(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb6":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB6(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "efficientnetb7":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.EfficientNetB7(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "inceptionresnetv2":
if height <= 74 or width <= 74:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 75.")
base_model = tf.keras.applications.InceptionResNetV2(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "inceptionv3":
if height <= 74 or width <= 74:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 75.")
base_model = tf.keras.applications.InceptionV3(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "mobilenet":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.MobileNet(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, alpha=alpha, depth_multiplier=depth_multiplier, dropout=dropout, classifier_activation=classifier_activation)
elif name.lower() == "mobilenetv2":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.MobileNetV2(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, alpha=alpha, classifier_activation=classifier_activation)
elif name.lower() == "nasnetlarge":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.NASNetLarge(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "nasnetmobile":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.NASNetMobile(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "resnet50":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.ResNet50(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "resnet50v2":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.ResNet50V2(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "resnet101":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.ResNet101(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "resnet101v2":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.ResNet101V2(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "resnet152":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.ResNet152(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "resnet152v2":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.ResNet152V2(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "vgg16":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.VGG16(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "vgg19":
if height <= 31 or width <= 31:
raise ValueError("Parameters 'height' and 'width' should not be smaller than 32.")
base_model = tf.keras.applications.VGG19(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
elif name.lower() == "xception":
if height <= 70 or width <= 70:
raise ValueError("Parameters 'height' and width' should not be smaller than 71.")
base_model = tf.keras.applications.Xception(include_top=include_top, classes=classes, weights=weights, input_shape=[height, width, 3], pooling=pooling, classifier_activation=classifier_activation)
else:
raise ValueError("'name' should be one of 'densenet121', 'densenet169', 'densenet201', 'efficientnetb0', 'efficientnetb1', 'efficientnetb2', \
'efficientnetb3', 'efficientnetb4', 'efficientnetb5', 'efficientnetb6', 'efficientnetb7', \
'inceptionresnetv2', 'inceptionv3', 'mobilenet', 'mobilenetv2', 'nasnetlarge', 'nasnetmobile', \
'resnet50', 'resnet50v2', 'resnet101', 'resnet101v2', 'resnet152', 'resnet152v2', 'vgg16', 'vgg19' or 'xception'.")
model = tf.keras.Model(base_model.inputs, [base_model.output, base_model.layers[-2].output])
return model
| 81.415493
| 264
| 0.753222
| 1,494
| 11,561
| 5.71419
| 0.095716
| 0.065597
| 0.062317
| 0.094413
| 0.750615
| 0.747335
| 0.747335
| 0.734919
| 0.734919
| 0.734919
| 0
| 0.032325
| 0.130352
| 11,561
| 142
| 265
| 81.415493
| 0.816789
| 0.114004
| 0
| 0.42735
| 0
| 0.017094
| 0.217396
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008547
| false
| 0
| 0.008547
| 0
| 0.025641
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
eeea34f7d797fbf20a3f18645b4b3f7ebe3f0296
| 76
|
py
|
Python
|
Hadoop+Pig+Jython+AmMap+ElasticSearch/utils_test.py
|
petterobam/practice-lab
|
6b3cf4e85aeb8df257cca230cf84ea50a5b493fa
|
[
"MIT"
] | null | null | null |
Hadoop+Pig+Jython+AmMap+ElasticSearch/utils_test.py
|
petterobam/practice-lab
|
6b3cf4e85aeb8df257cca230cf84ea50a5b493fa
|
[
"MIT"
] | null | null | null |
Hadoop+Pig+Jython+AmMap+ElasticSearch/utils_test.py
|
petterobam/practice-lab
|
6b3cf4e85aeb8df257cca230cf84ea50a5b493fa
|
[
"MIT"
] | null | null | null |
# -*- coding:utf-8 -*-
import utils2
print(utils2.get_city('132.95.30.42'))
| 19
| 38
| 0.657895
| 13
| 76
| 3.769231
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 0.092105
| 76
| 4
| 38
| 19
| 0.536232
| 0.263158
| 0
| 0
| 0
| 0
| 0.218182
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
017b080e851147426cf9f5876438ed1e09aedc6a
| 434
|
py
|
Python
|
pattern/Null.py
|
MrKiven/PY-Snip
|
4a33b374c442a7e036771040e9b5759ddcd5c7dd
|
[
"MIT"
] | 3
|
2016-10-24T20:14:59.000Z
|
2017-06-22T15:57:02.000Z
|
pattern/Null.py
|
MrKiven/PY-Snip
|
4a33b374c442a7e036771040e9b5759ddcd5c7dd
|
[
"MIT"
] | null | null | null |
pattern/Null.py
|
MrKiven/PY-Snip
|
4a33b374c442a7e036771040e9b5759ddcd5c7dd
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
class Null(object):
def __init__(self, *args, **kwargs):
return None
def __call__(self, *args, **kwargs):
return self
def __getattr__(self, name):
return self
def __setattr__(self, name, value):
return self
def __delattr__(self, name):
return self
def __repr__(self):
return "<Null>"
def __str__(self):
return "Null"
| 16.692308
| 40
| 0.564516
| 49
| 434
| 4.428571
| 0.428571
| 0.184332
| 0.239631
| 0.184332
| 0.193548
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003356
| 0.313364
| 434
| 25
| 41
| 17.36
| 0.724832
| 0.048387
| 0
| 0.266667
| 0
| 0
| 0.024331
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.466667
| false
| 0
| 0
| 0.466667
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
0187ea253c673b62b1f082a981f02409d87540da
| 204
|
py
|
Python
|
src/Windows/Interfaz --No se va a usar/changeuipy.py
|
galileonano22/Galileo-Nano_22
|
4d1bfbf497ccf86b63a801023a9b8106b5f6b129
|
[
"MIT"
] | 1
|
2022-01-22T12:55:52.000Z
|
2022-01-22T12:55:52.000Z
|
src/Windows/Interfaz --No se va a usar/changeuipy.py
|
galileonano22/Galileo-Nano_22
|
4d1bfbf497ccf86b63a801023a9b8106b5f6b129
|
[
"MIT"
] | null | null | null |
src/Windows/Interfaz --No se va a usar/changeuipy.py
|
galileonano22/Galileo-Nano_22
|
4d1bfbf497ccf86b63a801023a9b8106b5f6b129
|
[
"MIT"
] | null | null | null |
import os
archivo = str(input("Como se llama el archivo: "))
longitud = len(archivo)
os.system(f"C:/Users/jorge/Desktop/Repos/Galieo-Nano_22/Scripts/pyuic5.exe {archivo} -o {archivo[:longitud-3]+'.py'}")
| 40.8
| 118
| 0.72549
| 33
| 204
| 4.454545
| 0.818182
| 0.204082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02139
| 0.083333
| 204
| 4
| 119
| 51
| 0.764706
| 0
| 0
| 0
| 0
| 0.25
| 0.637255
| 0.441176
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6dafd7ff67952d026f83f07f7c8119654a371581
| 133
|
py
|
Python
|
pinot/tests/test_metrics.py
|
choderalab/pinot
|
413a349ab42912d8a668a645effde8e70ba608a6
|
[
"MIT"
] | 13
|
2020-03-23T21:53:06.000Z
|
2021-09-28T19:29:35.000Z
|
pinot/tests/test_metrics.py
|
choderalab/pinot
|
413a349ab42912d8a668a645effde8e70ba608a6
|
[
"MIT"
] | 89
|
2020-03-27T21:18:55.000Z
|
2021-04-02T19:36:50.000Z
|
pinot/tests/test_metrics.py
|
choderalab/pinot
|
413a349ab42912d8a668a645effde8e70ba608a6
|
[
"MIT"
] | 2
|
2020-04-25T03:23:40.000Z
|
2021-02-19T18:35:27.000Z
|
import pytest
import numpy as np
import numpy.testing as npt
import torch
def test_import():
""" """
import pinot.metrics
| 12.090909
| 27
| 0.699248
| 19
| 133
| 4.842105
| 0.631579
| 0.23913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.218045
| 133
| 10
| 28
| 13.3
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 1
| 0
| 1.166667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6dd7f369b033d37201a0a82ee5f4e7f93c58fb1a
| 236
|
py
|
Python
|
src/tests/unit/common/test_common_plugins.py
|
hnzlmnn/pretalx
|
fcdf1a03c9428c1207ee4f4228694b2ed8e7495b
|
[
"Apache-2.0"
] | 1
|
2018-12-09T12:35:10.000Z
|
2018-12-09T12:35:10.000Z
|
src/tests/unit/common/test_common_plugins.py
|
hnzlmnn/pretalx
|
fcdf1a03c9428c1207ee4f4228694b2ed8e7495b
|
[
"Apache-2.0"
] | 1
|
2019-07-05T20:03:42.000Z
|
2019-07-05T20:03:42.000Z
|
src/tests/unit/common/test_common_plugins.py
|
hnzlmnn/pretalx
|
fcdf1a03c9428c1207ee4f4228694b2ed8e7495b
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from tests.dummy_app import PluginApp
from pretalx.common.plugins import get_all_plugins
@pytest.mark.django_db
def test_get_all_plugins():
assert PluginApp.PretalxPluginMeta in get_all_plugins(), get_all_plugins()
| 23.6
| 78
| 0.830508
| 35
| 236
| 5.285714
| 0.571429
| 0.12973
| 0.281081
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105932
| 236
| 9
| 79
| 26.222222
| 0.876777
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| true
| 0
| 0.5
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6df07034d0acc0d7c32402deb5545aec7930232d
| 146
|
py
|
Python
|
models/__init__.py
|
komissarex/centipede
|
9a86080300ef81aff5281a8de16b324d39ab9c43
|
[
"MIT"
] | null | null | null |
models/__init__.py
|
komissarex/centipede
|
9a86080300ef81aff5281a8de16b324d39ab9c43
|
[
"MIT"
] | null | null | null |
models/__init__.py
|
komissarex/centipede
|
9a86080300ef81aff5281a8de16b324d39ab9c43
|
[
"MIT"
] | null | null | null |
from models.team import Team
from models.problem import Problem, Example
from models.language import Language
from models.solution import Solution
| 36.5
| 43
| 0.856164
| 21
| 146
| 5.952381
| 0.380952
| 0.32
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109589
| 146
| 4
| 44
| 36.5
| 0.961538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
a307802462b9325d53264194891c59395cd540b3
| 41
|
py
|
Python
|
naturalcolors/__init__.py
|
fdsteffen/naturalcolors
|
7d688cbafec4ae0a1306c4103289507155b72837
|
[
"MIT"
] | null | null | null |
naturalcolors/__init__.py
|
fdsteffen/naturalcolors
|
7d688cbafec4ae0a1306c4103289507155b72837
|
[
"MIT"
] | null | null | null |
naturalcolors/__init__.py
|
fdsteffen/naturalcolors
|
7d688cbafec4ae0a1306c4103289507155b72837
|
[
"MIT"
] | null | null | null |
from naturalcolors.colorpalette import *
| 20.5
| 40
| 0.853659
| 4
| 41
| 8.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 41
| 1
| 41
| 41
| 0.945946
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
09bd90c94723d71b340b19a28941a3db050af6ef
| 51
|
py
|
Python
|
src/prpy/tsr/__init__.py
|
MisoRobotics/prpy
|
afbc8e9c3a8e4f4dc31261782962e12eb4b0ca10
|
[
"BSD-3-Clause"
] | 53
|
2015-02-07T04:58:23.000Z
|
2022-03-07T15:49:07.000Z
|
src/prpy/tsr/__init__.py
|
MisoRobotics/prpy
|
afbc8e9c3a8e4f4dc31261782962e12eb4b0ca10
|
[
"BSD-3-Clause"
] | 283
|
2015-01-01T17:16:37.000Z
|
2018-05-09T23:51:48.000Z
|
src/prpy/tsr/__init__.py
|
MisoRobotics/prpy
|
afbc8e9c3a8e4f4dc31261782962e12eb4b0ca10
|
[
"BSD-3-Clause"
] | 28
|
2015-02-20T01:37:38.000Z
|
2021-03-12T07:05:23.000Z
|
import rodrigues, tsr, tsrlibrary
from tsr import *
| 25.5
| 33
| 0.803922
| 7
| 51
| 5.857143
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137255
| 51
| 2
| 34
| 25.5
| 0.931818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
61f8e5b54f399041cadaf52a4b270d982a6b08ef
| 72
|
py
|
Python
|
src/rxn_network/thermo/__init__.py
|
GENESIS-EFRC/reaction-network
|
1482ac1b6b550a5bc9961e9210e33c86c07f64cf
|
[
"BSD-3-Clause-LBNL"
] | 29
|
2020-08-04T07:07:04.000Z
|
2022-02-22T22:09:20.000Z
|
src/rxn_network/thermo/__init__.py
|
GENESIS-EFRC/reaction-network
|
1482ac1b6b550a5bc9961e9210e33c86c07f64cf
|
[
"BSD-3-Clause-LBNL"
] | 70
|
2021-02-22T07:01:40.000Z
|
2022-03-31T20:11:56.000Z
|
src/rxn_network/thermo/__init__.py
|
GENESIS-EFRC/reaction-network
|
1482ac1b6b550a5bc9961e9210e33c86c07f64cf
|
[
"BSD-3-Clause-LBNL"
] | 3
|
2021-04-20T09:29:39.000Z
|
2022-02-02T17:43:52.000Z
|
from rxn_network.thermo.chempot_diagram import ChemicalPotentialDiagram
| 36
| 71
| 0.916667
| 8
| 72
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 72
| 1
| 72
| 72
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
112fcba40c137b70a73acf8c7b3f32891f7ede15
| 166
|
py
|
Python
|
eals/__init__.py
|
newspicks/implicit-eals
|
5ea729ba6eb3ae12aa2461ded2ee00951cb28917
|
[
"MIT"
] | 7
|
2021-08-30T08:01:22.000Z
|
2022-01-25T00:58:10.000Z
|
eals/__init__.py
|
newspicks/implicit-eals
|
5ea729ba6eb3ae12aa2461ded2ee00951cb28917
|
[
"MIT"
] | 1
|
2021-10-11T08:10:50.000Z
|
2022-01-26T00:39:55.000Z
|
eals/__init__.py
|
newspicks/implicit-eals
|
5ea729ba6eb3ae12aa2461ded2ee00951cb28917
|
[
"MIT"
] | 1
|
2021-12-14T11:02:23.000Z
|
2021-12-14T11:02:23.000Z
|
__version__ = "0.9.4"
from .eals import ElementwiseAlternatingLeastSquares, load_model
__all__ = ["ElementwiseAlternatingLeastSquares", "load_model", "__version__"]
| 33.2
| 77
| 0.807229
| 15
| 166
| 8
| 0.733333
| 0.633333
| 0.716667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019737
| 0.084337
| 166
| 4
| 78
| 41.5
| 0.769737
| 0
| 0
| 0
| 0
| 0
| 0.361446
| 0.204819
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
11565069234d5381337a39481df5249712475894
| 6,059
|
py
|
Python
|
server.py
|
LHGames-2018/Concordia-yeeters
|
0b39d7bcdb604e33066fa1fe48ae43d1ef9a2626
|
[
"MIT"
] | null | null | null |
server.py
|
LHGames-2018/Concordia-yeeters
|
0b39d7bcdb604e33066fa1fe48ae43d1ef9a2626
|
[
"MIT"
] | null | null | null |
server.py
|
LHGames-2018/Concordia-yeeters
|
0b39d7bcdb604e33066fa1fe48ae43d1ef9a2626
|
[
"MIT"
] | null | null | null |
import json
from flask import Flask, request
from helper import GameMap, Player, Point
from bot import Bot
import numpy as np
app = Flask(__name__)
bot = Bot()
def deserialize(data):
if "x" in data and "y" in data:
return Point(data["x"], data["y"])
elif "Name" in data:
return Player(data["Health"], data["MaxHealth"], data["CarriedResources"],
data["CarryingCapacity"], data["CollectingSpeed"], data["TotalResources"],
data["AttackPower"], data["Defence"], data["Position"],
data["HouseLocation"], data["CarriedItems"], data["Score"], data["Name"],
data["UpgradeLevels"])
elif "CustomSerializedMap" in data:
data["GameMap"] = GameMap(
data["CustomSerializedMap"], data["xMin"], data["yMin"], data["WallsAreBreakable"])
return data
actions = {0:'left', 1:'right', 2:'up', 3:'down', 4:'mine'}
items = [[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{1},{1},{},{},{},{},{},{},{},{2},{},{},{},{},{},{},{},{1},{1},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{4,500,2.5},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{4,500,1},{},{},{1},{},{}],[{},{},{1},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{1},{},{}],[{},{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{},{}],[{},{},{},{},{1},{},{4,500,1},{},{},{},{},{},{},{},{},{},{1},{},{},{},{}],[{},{},{},{},{},{1},{1},{},{},{},{6},{},{},{},{1},{1},{},{},{},{},{}],[{},{},{},{},{},{},{1},{1},{1},{1},{1},{1},{1},{1},{1},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{1},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{4,500,2.5},{},{}],[{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{1},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{1},{1},{1},{1},{1},{1},{1},{1},{1},{},{},{},{},{},{}],[{},{},{},{},{},{1},{1},{},{},{},{},{},{},{},{1},{1},{},{},{},{},{}],[{},{},{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{1},{},{},{},{}],[{},{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{},{}]]
def fixArrB(badArr):
fixed = []
for ri, rv in enumerate(badArr):
fixed.append([])
for ci, cv in enumerate(rv):
if cv == {}:
fixed[ri].append([0,0,0])
elif cv == {1}:
fixed[ri].append([1,0,0])
elif len(cv) == 3:
fixed[ri].append([list(cv)[0], list(cv)[1], list(cv)[2]])
else:
fixed[ri].append([list(cv)[0],0,0])
return(fixed)
class Game():
def __init__(self, grid_size=21):
self.grid_size = grid_size
self.reset()
self.state_changed = True
self.score = 0
self.stateNow = np.array(deserialize(fixArrB([[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{1},{1},{},{},{},{},{},{},{},{2},{},{},{},{},{},{},{},{1},{1},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{}],[{4,500,2.5},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{4,500,1},{},{},{1},{},{}],[{},{},{1},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{1},{},{}],[{},{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{},{}],[{},{},{},{},{1},{},{4,500,1},{},{},{},{},{},{},{},{},{},{1},{},{},{},{}],[{},{},{},{},{},{1},{1},{},{},{},{6},{},{},{},{1},{1},{},{},{},{},{}],[{},{},{},{},{},{},{1},{1},{1},{1},{1},{1},{1},{1},{1},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{1},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{4,500,2.5},{},{}],[{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{},{},{},{},{1},{},{},{},{},{},{},{},{},{},{}],[{},{},{},{},{},{},{1},{1},{1},{1},{1},{1},{1},{1},{1},{},{},{},{},{},{}],[{},{},{},{},{},{1},{1},{},{},{},{},{},{},{},{1},{1},{},{},{},{},{}],[{},{},{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{1},{},{},{},{}],[{},{},{},{1},{},{},{},{},{},{},{},{},{},{},{},{},{},{1},{},{},{}]])))
def set_state(self, state):
self.stateNow = state
@property
def name(self):
return "LH"
@property
def nb_actions(self):
return 5
def reset(self):
pass
def play(self, action):
assert action in range(5), "Invalid action."
return action
def get_state(self):
return self.stateNow
def set_score(self, score):
self.score = score
def get_score(self):
return self.score
def is_over(self):
return False
def is_won(self):
return False
def get_frame(self):
return self.get_state()
def draw(self):
return self.get_state()
def get_possible_actions(self):
return range(self.nb_actions)
game = Game()
@app.route("/", methods=["GET"])
def ping():
return "I am alive!"
@app.route("/", methods=["POST"])
def response():
"""
Point d'entree appelle par le GameServer
"""
gameInfo = json.loads(request.form["data"], object_hook=deserialize)
player = gameInfo["Player"]
Game.set_score(Game, np.array(gameInfo["Player"].CarriedResources))
Game.set_state(Game, np.array(fixArrB(gameInfo['CustomSerializedMap'])))
bot.before_turn(player)
action = bot.execute_turn(gameInfo['GameMap'], gameInfo['OtherPlayers'])
bot.after_turn()
print(action)
return action
if __name__ == "__main__":
app.run(host="0.0.0.0", port=3000, debug=True)
| 36.5
| 1,512
| 0.323321
| 525
| 6,059
| 3.657143
| 0.251429
| 0.10625
| 0.140625
| 0.1625
| 0.133333
| 0.133333
| 0.086458
| 0.086458
| 0.086458
| 0.086458
| 0
| 0.037123
| 0.146394
| 6,059
| 165
| 1,513
| 36.721212
| 0.334107
| 0.006602
| 0
| 0.089888
| 0
| 0
| 0.058863
| 0
| 0
| 0
| 0
| 0
| 0.011236
| 1
| 0.202247
| false
| 0.011236
| 0.05618
| 0.11236
| 0.438202
| 0.011236
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
fedec526473bcde5103913682330e8371cb2e27c
| 272
|
py
|
Python
|
ElectionResult.py
|
robbierobinette/rcv-tensorflow
|
984852902f465bb6f61ba863e4b76092249911d0
|
[
"MIT"
] | null | null | null |
ElectionResult.py
|
robbierobinette/rcv-tensorflow
|
984852902f465bb6f61ba863e4b76092249911d0
|
[
"MIT"
] | null | null | null |
ElectionResult.py
|
robbierobinette/rcv-tensorflow
|
984852902f465bb6f61ba863e4b76092249911d0
|
[
"MIT"
] | null | null | null |
from typing import List
from Candidate import Candidate
class ElectionResult:
def __init__(self, ordered_candidates: List[Candidate]):
self.ordered_candidates = ordered_candidates
def winner(self) -> Candidate:
return self.ordered_candidates[0]
| 24.727273
| 60
| 0.75
| 31
| 272
| 6.322581
| 0.483871
| 0.346939
| 0.321429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004505
| 0.183824
| 272
| 10
| 61
| 27.2
| 0.878378
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.285714
| 0.142857
| 0.857143
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
3a3d5869c70a6e52aab10ea6546d7a7b477c4667
| 9,662
|
py
|
Python
|
cos_similarity.py
|
manzino0705/Hungry_Genie
|
5934f0c278a6bedb9a0ca844b34a24cf3ac6f88d
|
[
"MIT"
] | null | null | null |
cos_similarity.py
|
manzino0705/Hungry_Genie
|
5934f0c278a6bedb9a0ca844b34a24cf3ac6f88d
|
[
"MIT"
] | null | null | null |
cos_similarity.py
|
manzino0705/Hungry_Genie
|
5934f0c278a6bedb9a0ca844b34a24cf3ac6f88d
|
[
"MIT"
] | null | null | null |
from numpy import dot
from numpy.linalg import norm
import numpy as np
import pandas as pd
import re
import pymysql
def cos_similarity(A, B):
return dot(A, B)/(norm(A)*norm(B)) # cosine similarity
def menu_possible(DIR_PATH, curs, name):
#레시피 데이터
data = pd.read_csv(DIR_PATH+'/static/assets/recipe.csv', encoding = 'cp949') # 데이터 호출
menu = list(data['메뉴'].dropna())
img = list(data['이미지'].fillna(' '))
idx = menu.index(name)
ingre = data['필수재료'][idx]
n = re.split(", ", ingre) # 필요한 재료 목록
# ex) input = 김치 치즈 계란말이 / output = 가능/ 불가능
impossible = []
for i in range(len(n)):
ing_name, ing_num = n[i].split(' ')
ing_num = int(ing_num)
sql = "select num from frige where "+"ingredient='"+ing_name+"'"
curs.execute(sql)
num = int(pd.DataFrame(curs.fetchall())[0].tolist()[0])
if ing_num > num: # 재료 부족
impossible.append([ing_name+" "+str(ing_num-num)])
ingre = ingre.replace(',','')
lack = ""
if impossible == [] : # 재료가 다 있으면
return [name, img[idx], 0, ingre, lack]
else :
for i in impossible:
lack+=i[0]+" "
return [name, img[idx], impossible, ingre, lack]
def menu_recommend(DIR_PATH, curs): #절대 경로, db 커서
#레시피 데이터
data = pd.read_csv(DIR_PATH+'/static/assets/recipe.csv', encoding = 'cp949') # 데이터 호출
menu = list(data['메뉴'].dropna())
need = list(data['필수재료'].dropna())
#sub = list(data['부가재료'].fillna(' '))
recipe = list(data['레시피'].fillna(' '))
img = list(data['이미지'].fillna(' '))
#현재 냉장고 재고 쿼리
sql_i = "select ingredient from frige"
sql_n = "select num from frige"
curs.execute(sql_i)
ingredient = pd.DataFrame(curs.fetchall())[0].tolist()
curs.execute(sql_n)
num_ingre = pd.DataFrame(curs.fetchall())[0].tolist()
impossible = {}
cos_sim = []
food = {}
for i, m in enumerate(menu):
food[m] = need[i] # 음식과 재료 데이터
for k, v in food.items():
having = list(num_ingre) # 현재 재료 보유 현황
necessary = [0 for _ in range(len(num_ingre))] # 필요 재료 현황
v = re.split(', | ', v)
for i in range(len(v)//2):
if v[i*2] in ingredient: # 재료가 있다면
necessary[ingredient.index(v[i*2])] = int(v[i*2+1]) # 필수 재료 데이터 입력
if having[ingredient.index(v[i*2])] < necessary[ingredient.index(v[i*2])]: # 재료가 부족한 상황
if k in impossible:
impossible[k] += " "+v[i*2]+" "+str(necessary[ingredient.index(v[i*2])]-having[ingredient.index(v[i*2])])
else:
impossible[k] = v[i*2]+" "+str(necessary[ingredient.index(v[i*2])]-having[ingredient.index(v[i*2])]) # 불가능 개수
else: # 재료가 없다면
if k in impossible:
impossible[k] += " "+v[i*2]+" "+v[i*2+1]
else:
impossible[k] = v[i*2]+" "+v[i*2+1]
'''
if sub[menu.index(k)] != ' ':
v = sub[menu.index(k)]
v = re.split(', | ', v)
for i in range(len(v)//2):
if v[i*2] in ingredient: # 재료가 있다면
necessary[ingredient.index(v[i*2])] = int(v[i*2+1])
if having[ingredient.index(v[i*2])] < necessary[ingredient.index(v[i*2])]: # 재료가 부족한 상황
if k in impossible:
impossible[k] += " "+v[i*2]+" "+str(necessary[ingredient.index(v[i*2])]-having[ingredient.index(v[i*2])])
else:
impossible[k] = v[i*2]+" "+str(necessary[ingredient.index(v[i*2])]-having[ingredient.index(v[i*2])]) # 불가능 개수
else:
necessary.append(int(v[i*2+1]))
if k in impossible:
impossible[k] += " "+v[i*2]+" "+v[i*2+1]
else:
impossible[k] = v[i*2]+" "+v[i*2+1]
'''
while len(having) < len(necessary):
having.append(0) # vector 크기 맞춤
if k in impossible:
cos_sim.append([round(cos_similarity(having, necessary), 5), k, menu.index(k)])
#만들 수 없는 경우만 존재한다면 그 중에서도 높은 값을 출력해주기 위해 수정
else:
for i in range(len(having)):
if having[i] > necessary[i]: # 재료가 더 많아도 cos_sim 크기 지장 없게
having[i] = necessary[i]
cos_sim.append([round(cos_similarity(having, necessary), 5), k, menu.index(k)])
print(impossible)
print(cos_sim)
cos_sim = sorted(cos_sim, key = lambda x : x[0], reverse = True)
idx = cos_sim[0][2] #1순위 레시피 인덱스
rec_name = cos_sim[0][1] #1순위 레시피
idx2 = cos_sim[1][2] #2순위 레시피 인덱스
rec_name2 = cos_sim[1][1] #2순위 레시피
cos_sim[0][0] = '{:.2f}'.format(cos_sim[0][0]*100)
cos_sim[1][0] = '{:.2f}'.format(cos_sim[1][0]*100)
#필요한 재료
ing_total = need[idx]
ing_total2 = need[idx2]
print("베이컨 파프리카 볶음" in impossible)
if rec_name in impossible and rec_name2 in impossible: #재료가 모두 준비된 레시피가 없는 경우
value = [rec_name, recipe[idx], img[idx], impossible[rec_name], ing_total,
rec_name2, recipe[idx2], img[idx2], impossible[rec_name2], ing_total2,
cos_sim[0][0], cos_sim[1][0]] #레시피명, 레시피 내용, 이미지, 없는 재료, 필요한 재료
elif rec_name in impossible and rec_name2 not in impossible:
value = [rec_name, recipe[idx], img[idx], impossible[rec_name], ing_total,
rec_name2, recipe[idx2], img[idx2], 0, ing_total2,
cos_sim[0][0], cos_sim[1][0]] #레시피명, 레시피 내용, 이미지, 없는 재료, 필요한 재료
elif rec_name not in impossible and rec_name2 in impossible:
value = [rec_name, recipe[idx], img[idx], 0, ing_total,
rec_name2, recipe[idx2], img[idx2], impossible[rec_name2], ing_total2,
cos_sim[0][0], cos_sim[1][0]] #레시피명, 레시피 내용, 이미지, 없는 재료, 필요한 재료
else: #재료가 모두 준비된 레시피가 있는 경우
value = [rec_name, recipe[idx], img[idx], 0, ing_total,
rec_name2, recipe[idx2], img[idx2], 0, ing_total2,
cos_sim[0][0], cos_sim[1][0]] #레시피명, 레시피 내용, 이미지, 없는 재료, 필요한 재료
print(value)
return value
def find_menu(DIR_PATH, curs, food_name): #절대 경로, db 커서, 순위 파악할 음식 이름 배열
#레시피 데이터
data = pd.read_csv(DIR_PATH+'/static/assets/recipe.csv', encoding = 'cp949') # 데이터 호출
menu = list(data['메뉴'].dropna())
need = list(data['필수재료'].dropna())
#sub = list(data['부가재료'].fillna(' '))
recipe = list(data['레시피'].fillna(' '))
img = list(data['이미지'].fillna(' '))
#현재 냉장고 재고 쿼리
sql_i = "select ingredient from frige"
sql_n = "select num from frige"
curs.execute(sql_i)
ingredient = pd.DataFrame(curs.fetchall())[0].tolist()
curs.execute(sql_n)
num_ingre = pd.DataFrame(curs.fetchall())[0].tolist()
impossible = {}
cos_sim = []
food = {}
food_ordinal = []
for i, m in enumerate(menu):
food[m] = need[i] # 음식과 재료 데이터
for k, v in food.items():
having = list(num_ingre) # 현재 재료 보유 현황
necessary = [0 for _ in range(len(num_ingre))] # 필요 재료 현황
v = re.split(', | ', v)
for i in range(len(v)//2):
if v[i*2] in ingredient: # 재료가 있다면
necessary[ingredient.index(v[i*2])] = int(v[i*2+1]) # 필수 재료 데이터 입력
if having[ingredient.index(v[i*2])] < necessary[ingredient.index(v[i*2])]: # 재료가 부족한 상황
if k in impossible:
impossible[k] += " "+v[i*2]+" "+str(necessary[ingredient.index(v[i*2])]-having[ingredient.index(v[i*2])])
else:
impossible[k] = v[i*2]+" "+str(necessary[ingredient.index(v[i*2])]-having[ingredient.index(v[i*2])]) # 불가능 개수
else: # 재료가 없다면
if k in impossible:
impossible[k] += " "+v[i*2]+" "+v[i*2+1]
else:
impossible[k] = v[i*2]+" "+v[i*2+1]
'''
if sub[menu.index(k)] != ' ':
v = sub[menu.index(k)]
v = re.split(', | ', v)
for i in range(len(v)//2):
if v[i*2] in ingredient: # 재료가 있다면
necessary[ingredient.index(v[i*2])] = int(v[i*2+1])
else:
necessary.append(int(v[i*2+1]))
'''
while len(having) < len(necessary):
having.append(0) # vector 크기 맞춤
if k in impossible:
cos_sim.append([round(cos_similarity(having, necessary), 5), k, menu.index(k)])
#만들 수 없는 경우만 존재한다면 그 중에서도 높은 값을 출력해주기 위해 수정
else:
for i in range(len(having)):
if having[i] > necessary[i]: # 재료가 더 많아도 cos_sim 크기 지장 없게
having[i] = necessary[i]
cos_sim.append([round(cos_similarity(having, necessary), 5), k, menu.index(k)])
cos_sim = sorted(cos_sim, key = lambda x : x[0], reverse = True)
ordinal(food_name, cos_sim, food_ordinal)
return food_ordinal
def ordinal(text, food_list, food_ordinal):
input_text = text
food = -1
food_name = ''
for name in input_text:
for check in food_list:
if(name == check[1]):
if(food < check[2]):
food = check[2]
food_name = check[1]
text.remove(food_name)
food_ordinal.append(food_name)
if(input_text != []):
ordinal(text, food_list, food_ordinal)
def get_big_recipe(DIR_PATH, name):
#레시피 데이터
data = pd.read_csv(DIR_PATH+'/static/assets/recipe.csv', encoding = 'cp949') # 데이터 호출
menu = list(data['메뉴'].dropna())
recipe = list(data['레시피'].fillna(' '))
img = list(data['이미지'].fillna(' '))
idx = menu.index(name)
value = [name, img[idx], recipe[idx]]
return value
| 42.008696
| 137
| 0.541503
| 1,433
| 9,662
| 3.56455
| 0.131193
| 0.019577
| 0.029366
| 0.073218
| 0.774667
| 0.766053
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| 229
| 138
| 42.19214
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| 1
| 0.034483
| false
| 0
| 0.034483
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| 0.103448
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| 0
| 0
|
0
| 5
|
3a57b8f6edad79e31037c0574cb166f174a6e6eb
| 61
|
py
|
Python
|
sirtrevor/models.py
|
eGenGuru/django-sirtrevor
|
873dc572eeedba0257c393e1a93e7be790e07d67
|
[
"MIT"
] | 39
|
2015-02-10T00:30:03.000Z
|
2020-11-07T19:11:59.000Z
|
sirtrevor/models.py
|
eGenGuru/django-sirtrevor
|
873dc572eeedba0257c393e1a93e7be790e07d67
|
[
"MIT"
] | 5
|
2015-01-16T17:56:01.000Z
|
2018-11-30T13:09:26.000Z
|
sirtrevor/models.py
|
eGenGuru/django-sirtrevor
|
873dc572eeedba0257c393e1a93e7be790e07d67
|
[
"MIT"
] | 16
|
2015-06-01T03:36:00.000Z
|
2020-09-18T12:44:16.000Z
|
from django.db import models
from .conf import SirTrevorConf
| 20.333333
| 31
| 0.836066
| 9
| 61
| 5.666667
| 0.777778
| 0
| 0
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| 0
| 0
| 0.131148
| 61
| 2
| 32
| 30.5
| 0.962264
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| 1
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| 1
| 0
|
0
| 5
|
28fd32bd5f15407cd1b109d8ff6f9e2f14b02010
| 392
|
py
|
Python
|
tf_mpi/optimizers/__init__.py
|
xinyandai/mpi-tensorflow
|
52841549abf16666097fecd6d774d54a1ed76fa2
|
[
"MIT"
] | 7
|
2019-01-29T07:34:00.000Z
|
2021-05-19T13:55:42.000Z
|
tf_mpi/optimizers/__init__.py
|
limingfan/mpi-tensorflow
|
52841549abf16666097fecd6d774d54a1ed76fa2
|
[
"MIT"
] | 1
|
2020-12-07T07:39:47.000Z
|
2020-12-07T07:39:47.000Z
|
tf_mpi/optimizers/__init__.py
|
limingfan/mpi-tensorflow
|
52841549abf16666097fecd6d774d54a1ed76fa2
|
[
"MIT"
] | 1
|
2020-12-07T07:59:39.000Z
|
2020-12-07T07:59:39.000Z
|
from .distributed_optimizer import BroadcastGlobalVariablesHook
from .distributed_optimizer_qsgd import DistributedQSGDOptimizer
from .distributed_optimizer_allreduce import DistributedAllReduceOptimizer
from .distributed_optimizer_hsq import DistributedHSQOptimizer
from .distributed_optimizer_nn import DistributedNNOptimizer
from .distributed_optimizer_lsh import DistributedLSHOptimizer
| 49
| 74
| 0.920918
| 35
| 392
| 10
| 0.428571
| 0.257143
| 0.411429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063776
| 392
| 7
| 75
| 56
| 0.953678
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| 0
| 1
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| true
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| null | 1
| 1
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| null | 0
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| 1
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| 1
| 0
| 0
| 0
|
0
| 5
|
e904d24bce5f283382d593d018218b14b586fd90
| 31
|
py
|
Python
|
tests/fixtures/external/module_a.py
|
gitter-badger/dependenpy
|
db411b7bbd466b79064cbb419049f17cd3bff4c1
|
[
"ISC"
] | 10
|
2020-01-08T10:42:32.000Z
|
2021-07-08T01:58:08.000Z
|
tests/fixtures/external/module_a.py
|
gitter-badger/dependenpy
|
db411b7bbd466b79064cbb419049f17cd3bff4c1
|
[
"ISC"
] | 18
|
2015-03-13T11:55:49.000Z
|
2017-06-20T11:56:46.000Z
|
tests/fixtures/external/module_a.py
|
gitter-badger/dependenpy
|
db411b7bbd466b79064cbb419049f17cd3bff4c1
|
[
"ISC"
] | 1
|
2018-01-27T15:26:07.000Z
|
2018-01-27T15:26:07.000Z
|
class ClassA(object):
pass
| 10.333333
| 21
| 0.677419
| 4
| 31
| 5.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.225806
| 31
| 2
| 22
| 15.5
| 0.875
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| true
| 0.5
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|
0
| 5
|
e91ba50a7f4de260ecda17ee22c63f621bf05d6d
| 130
|
py
|
Python
|
env/utils.py
|
MKamyab1991/quadcopter_ppo
|
63407f42425505f074aac9390700cc4e06b2d1f1
|
[
"MIT"
] | 2
|
2022-02-25T22:03:03.000Z
|
2022-02-26T03:22:36.000Z
|
env/utils.py
|
MKamyab1991/quadcopter_ppo
|
63407f42425505f074aac9390700cc4e06b2d1f1
|
[
"MIT"
] | null | null | null |
env/utils.py
|
MKamyab1991/quadcopter_ppo
|
63407f42425505f074aac9390700cc4e06b2d1f1
|
[
"MIT"
] | null | null | null |
from .env_wrapper import EnvWrapper
def create_env_wrapper(config):
env_name = config['env']
return EnvWrapper(env_name)
| 21.666667
| 35
| 0.761538
| 18
| 130
| 5.222222
| 0.555556
| 0.212766
| 0
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| 0
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| 0
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| 0
| 0
| 0
| 0.153846
| 130
| 6
| 36
| 21.666667
| 0.854545
| 0
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| 0
| 0
| 0.022901
| 0
| 0
| 0
| 0
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| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
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| 0
| 0
| null | 1
| 0
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| null | 0
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| 1
| 0
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| 0
| 0
| 1
| 0
|
0
| 5
|
e927286824dd35c00a10504664bd9d911d91923b
| 68
|
py
|
Python
|
src/python/twitter/common/python/marshaller.py
|
zhouyijiaren/commons
|
10df6fb63547baa9047782aa7ad4edf354914b10
|
[
"Apache-2.0"
] | 1,143
|
2015-01-05T04:19:24.000Z
|
2019-12-11T12:02:23.000Z
|
src/python/twitter/common/python/marshaller.py
|
zhouyijiaren/commons
|
10df6fb63547baa9047782aa7ad4edf354914b10
|
[
"Apache-2.0"
] | 144
|
2015-01-06T05:05:07.000Z
|
2019-12-12T18:02:37.000Z
|
src/python/twitter/common/python/marshaller.py
|
zhouyijiaren/commons
|
10df6fb63547baa9047782aa7ad4edf354914b10
|
[
"Apache-2.0"
] | 426
|
2015-01-08T08:33:41.000Z
|
2019-12-09T13:15:40.000Z
|
from __future__ import absolute_import
from pex.marshaller import *
| 22.666667
| 38
| 0.852941
| 9
| 68
| 5.888889
| 0.666667
| 0
| 0
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| 0
| 0.117647
| 68
| 2
| 39
| 34
| 0.883333
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| 1
| 0
|
0
| 5
|
3a7a5ade701e95cca6a5cafbe242ef00866084b2
| 26
|
py
|
Python
|
app_settings/models/__init__.py
|
KHIT93/djangoshop
|
d88211f63092a29d6f1a50412767280be0df87d8
|
[
"MIT"
] | null | null | null |
app_settings/models/__init__.py
|
KHIT93/djangoshop
|
d88211f63092a29d6f1a50412767280be0df87d8
|
[
"MIT"
] | 3
|
2020-02-11T23:53:27.000Z
|
2021-06-10T19:29:43.000Z
|
app_settings/models/__init__.py
|
KHIT93/djangoshop
|
d88211f63092a29d6f1a50412767280be0df87d8
|
[
"MIT"
] | null | null | null |
from . import app_setting
| 13
| 25
| 0.807692
| 4
| 26
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 26
| 1
| 26
| 26
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
3abad4e4edfc09ecf2f020e08cd10b6c4fa12acc
| 51
|
py
|
Python
|
result/New Text Document.py
|
anshul3485raj/Amita
|
edb5e27eef41bd12afb1cb7dffe8696555353f18
|
[
"Apache-2.0"
] | 3
|
2020-09-16T17:42:04.000Z
|
2021-01-28T02:40:43.000Z
|
result/New Text Document.py
|
anshul3485raj/Amita
|
edb5e27eef41bd12afb1cb7dffe8696555353f18
|
[
"Apache-2.0"
] | null | null | null |
result/New Text Document.py
|
anshul3485raj/Amita
|
edb5e27eef41bd12afb1cb7dffe8696555353f18
|
[
"Apache-2.0"
] | null | null | null |
import pyaudio as tf
print(tf.version.VERSION)
| 12.75
| 26
| 0.745098
| 8
| 51
| 4.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 51
| 3
| 27
| 17
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
3ae141e34da5dcf8b6f120bd6b21de163869a613
| 102
|
py
|
Python
|
aslam_offline_calibration/kalibr/python/kalibr_imu_camera_calibration/__init__.py
|
PushyamiKaveti/kalibr
|
d8bdfc59ee666ef854012becc93571f96fe5d80c
|
[
"BSD-4-Clause"
] | 2,690
|
2015-01-07T03:50:23.000Z
|
2022-03-31T20:27:01.000Z
|
aslam_offline_calibration/kalibr/python/kalibr_imu_camera_calibration/__init__.py
|
PushyamiKaveti/kalibr
|
d8bdfc59ee666ef854012becc93571f96fe5d80c
|
[
"BSD-4-Clause"
] | 481
|
2015-01-27T10:21:00.000Z
|
2022-03-31T14:02:41.000Z
|
aslam_offline_calibration/kalibr/python/kalibr_imu_camera_calibration/__init__.py
|
PushyamiKaveti/kalibr
|
d8bdfc59ee666ef854012becc93571f96fe5d80c
|
[
"BSD-4-Clause"
] | 1,091
|
2015-01-26T21:21:13.000Z
|
2022-03-30T01:55:33.000Z
|
from IccCalibrator import *
import IccUtil as util
import IccPlots as plots
import IccSensors as sens
| 20.4
| 27
| 0.833333
| 15
| 102
| 5.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156863
| 102
| 4
| 28
| 25.5
| 0.988372
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3aec9fce57c7dcf7b881ef34ba3f20eb75aa6d4d
| 72
|
py
|
Python
|
Python/loaddata-exercise3.py
|
mremini/gemba23-marketing
|
2d2ab8ed7aaddb09b53c91ef643c6c2a2b9e5356
|
[
"MIT"
] | null | null | null |
Python/loaddata-exercise3.py
|
mremini/gemba23-marketing
|
2d2ab8ed7aaddb09b53c91ef643c6c2a2b9e5356
|
[
"MIT"
] | null | null | null |
Python/loaddata-exercise3.py
|
mremini/gemba23-marketing
|
2d2ab8ed7aaddb09b53c91ef643c6c2a2b9e5356
|
[
"MIT"
] | null | null | null |
df['sales_q1_in_thousands'] = df["Sales Q1 2019 (USD)"] / 1000
df.head()
| 36
| 62
| 0.680556
| 13
| 72
| 3.538462
| 0.692308
| 0.304348
| 0.391304
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 0.111111
| 72
| 2
| 63
| 36
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0.547945
| 0.287671
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c92a205dc0d28ac5514505c334d6aad335de9f04
| 141
|
py
|
Python
|
CPAC/func_preproc/__init__.py
|
chrisfoulon/C-PAC
|
2746a90c39cea586aede98343c5927252bb8e81a
|
[
"BSD-3-Clause"
] | 1
|
2021-08-02T23:23:39.000Z
|
2021-08-02T23:23:39.000Z
|
CPAC/func_preproc/__init__.py
|
chrisfoulon/C-PAC
|
2746a90c39cea586aede98343c5927252bb8e81a
|
[
"BSD-3-Clause"
] | null | null | null |
CPAC/func_preproc/__init__.py
|
chrisfoulon/C-PAC
|
2746a90c39cea586aede98343c5927252bb8e81a
|
[
"BSD-3-Clause"
] | 2
|
2021-08-02T23:23:40.000Z
|
2022-02-26T12:39:30.000Z
|
from func_preproc import create_func_preproc,\
get_idx
__all__ = ['create_func_preproc',\
'get_idx']
| 23.5
| 47
| 0.574468
| 15
| 141
| 4.666667
| 0.533333
| 0.471429
| 0.485714
| 0.571429
| 0.657143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.347518
| 141
| 5
| 48
| 28.2
| 0.76087
| 0
| 0
| 0
| 0
| 0
| 0.184397
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c9404a428b6099d6ee9f088bb78a3072e7a5c008
| 139
|
py
|
Python
|
cars/admin.py
|
halfnibble/factory
|
45dbe59cb20619def5070cd63472ff1b07508036
|
[
"MIT"
] | 30
|
2015-11-18T15:10:15.000Z
|
2021-07-07T20:23:58.000Z
|
cars/admin.py
|
halfnibble/factory
|
45dbe59cb20619def5070cd63472ff1b07508036
|
[
"MIT"
] | null | null | null |
cars/admin.py
|
halfnibble/factory
|
45dbe59cb20619def5070cd63472ff1b07508036
|
[
"MIT"
] | 8
|
2016-03-31T20:51:32.000Z
|
2020-02-10T12:14:53.000Z
|
from django.contrib import admin
from .models import Car
class CarAdmin(admin.ModelAdmin):
pass
admin.site.register(Car, CarAdmin)
| 13.9
| 34
| 0.769784
| 19
| 139
| 5.631579
| 0.684211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151079
| 139
| 9
| 35
| 15.444444
| 0.90678
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
c948a630f4a1d7ffc81a824a48119b17bb21fa1d
| 16,208
|
py
|
Python
|
tests/test_arrhenius.py
|
fernandezfran/sierras
|
b53975f9fd6ac33f5bf2ed250204a0578c4f1533
|
[
"MIT"
] | 1
|
2022-02-09T12:52:46.000Z
|
2022-02-09T12:52:46.000Z
|
tests/test_arrhenius.py
|
fernandezfran/sierras
|
b53975f9fd6ac33f5bf2ed250204a0578c4f1533
|
[
"MIT"
] | null | null | null |
tests/test_arrhenius.py
|
fernandezfran/sierras
|
b53975f9fd6ac33f5bf2ed250204a0578c4f1533
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of sierras (https://github.com/fernandezfran/sierras/).
# Copyright (c) 2021, Francisco Fernandez
# License: MIT
# Full Text: https://github.com/fernandezfran/sierras/blob/master/LICENSE
# ============================================================================
# IMPORTS
# ============================================================================
import os
import pathlib
from matplotlib.testing.decorators import check_figures_equal
import numpy as np
import pandas as pd
import pytest
import sierras.arrhenius
# ============================================================================
# CONSTANTS
# ============================================================================
TEST_DATA_PATH = pathlib.Path(
os.path.join(os.path.abspath(os.path.dirname(__file__)), "test_data")
)
# ============================================================================
# TESTS
# ============================================================================
@pytest.mark.parametrize(
("temps", "dcoeffs", "dcoeffserr", "ref", "decimal"),
[
( # roughly equivalent to Fuller 1953 silicon data.
np.array([1250, 1153.36, 1063.13, 970.65, 861.04, 769.34]),
np.array(
[
7.72104e-06,
4.386714e-06,
2.23884e-06,
5.58574e-07,
5.15115e-07,
7.58213e-08,
]
),
np.array(
[
1.42028e-06,
9.239103e-07,
6.98605e-07,
1.93034e-07,
1.18240e-07,
2.85640e-09,
]
),
(-9196.819, -4.394486),
(3, 3),
),
( # roughly equivalent to de Souza LJ 2006 data.
np.array(
[
1217.694563,
934.963910,
863.118100,
792.707095,
734.074259,
659.996304,
597.864428,
537.747162,
474.885671,
414.531828,
356.332201,
]
),
np.array(
[
0.031304,
0.020066,
0.017822,
0.014099,
0.011692,
0.008660,
0.007094,
0.004650,
0.003090,
0.001521,
0.000681,
]
),
None,
(-1919.8839, -1.8267787),
(4, 7),
),
( # roughly equivalent to de Wei-Zhong LJ 2008 Kubo-Green data.
np.array(
[
0.7000154,
0.80037778,
0.90050338,
1.00071451,
1.10114817,
1.20103096,
]
)
* 1_000,
np.array(
[
0.03800871,
0.04596339,
0.05495668,
0.0619257,
0.07191,
0.08090012,
]
),
None,
(-1258.7578, -1.49366295),
(4, 7),
),
],
)
def test_arrhenius_diffusion_fit(temps, dcoeffs, dcoeffserr, ref, decimal):
"""Test the ArrheniusDiffusion class, fit method."""
arrhenius = sierras.arrhenius.ArrheniusDiffusion(
temps, dcoeffs, differr=dcoeffserr
)
model = arrhenius.fit()
np.testing.assert_almost_equal(model.slope_.magnitude, ref[0], decimal[0])
np.testing.assert_almost_equal(
model.intercept_.magnitude, ref[1], decimal[1]
)
assert str(model.slope_.units) == "kelvin"
assert str(model.intercept_.units) == "dimensionless"
@pytest.mark.parametrize(
("temps", "dcoeffs", "dcoeffserr", "ref"),
[
( # roughly equivalent to Fuller 1953 silicon data.
np.array([1250, 1153.36, 1063.13, 970.65, 861.04, 769.34]),
np.array(
[
7.72104e-06,
4.386714e-06,
2.23884e-06,
5.58574e-07,
5.15115e-07,
7.58213e-08,
]
),
np.array(
[
1.42028e-06,
9.239103e-07,
6.98605e-07,
1.93034e-07,
1.18240e-07,
2.85640e-09,
]
),
(2.9132e-15, 2.9348e-15),
),
( # roughly equivalent to de Souza LJ 2006 data.
np.array(
[
1217.694563,
934.963910,
863.118100,
792.707095,
734.074259,
659.996304,
597.864428,
537.747162,
474.885671,
414.531828,
356.332201,
]
),
np.array(
[
0.031304,
0.020066,
0.017822,
0.014099,
0.011692,
0.008660,
0.007094,
0.004650,
0.003090,
0.001521,
0.000681,
]
),
None,
(0.0002674998, None),
),
( # roughly equivalent to de Wei-Zhong LJ 2008 Kubo-Green data.
np.array(
[
0.7000154,
0.80037778,
0.90050338,
1.00071451,
1.10114817,
1.20103096,
]
)
* 1_000,
np.array(
[
0.03800871,
0.04596339,
0.05495668,
0.0619257,
0.07191,
0.08090012,
]
),
None,
(0.0033812, None),
),
],
)
def test_arrhenius_diffusion_extrapolate(temps, dcoeffs, dcoeffserr, ref):
"""Test the ArrheniusDiffusion class, extrapolate method."""
arrhenius = sierras.arrhenius.ArrheniusDiffusion(
temps, dcoeffs, differr=dcoeffserr
)
arrhenius.fit()
damb = arrhenius.extrapolate()
if ref[1] is None:
np.testing.assert_almost_equal(damb.magnitude, ref[0])
else:
np.testing.assert_almost_equal(damb.value.magnitude, ref[0])
np.testing.assert_almost_equal(damb.error.magnitude, ref[1])
assert str(damb.units) == "centimeter ** 2 / second"
@pytest.mark.parametrize(
("temps", "dcoeffs", "dcoeffserr", "ref"),
[
( # roughly equivalent to Fuller 1953 silicon data.
np.array([1250, 1153.36, 1063.13, 970.65, 861.04, 769.34]),
np.array(
[
7.72104e-06,
4.386714e-06,
2.23884e-06,
5.58574e-07,
5.15115e-07,
7.58213e-08,
]
),
np.array(
[
1.42028e-06,
9.239103e-07,
6.98605e-07,
1.93034e-07,
1.18240e-07,
2.85640e-09,
]
),
(0.79252057, 0.0243509),
),
( # roughly equivalent to de Souza LJ 2006 data.
np.array(
[
1217.694563,
934.963910,
863.118100,
792.707095,
734.074259,
659.996304,
597.864428,
537.747162,
474.885671,
414.531828,
356.332201,
]
),
np.array(
[
0.031304,
0.020066,
0.017822,
0.014099,
0.011692,
0.008660,
0.007094,
0.004650,
0.003090,
0.001521,
0.000681,
]
),
None,
(0.16544279, None),
),
( # roughly equivalent to de Wei-Zhong LJ 2008 Kubo-Green data.
np.array(
[
0.7000154,
0.80037778,
0.90050338,
1.00071451,
1.10114817,
1.20103096,
]
)
* 1_000,
np.array(
[
0.03800871,
0.04596339,
0.05495668,
0.0619257,
0.07191,
0.08090012,
]
),
None,
(0.1084714, None),
),
],
)
def test_arrhenius_diffusion_activation_energy(
temps, dcoeffs, dcoeffserr, ref
):
"""Test the ArrheniusDiffusion class, activation energy method."""
arrhenius = sierras.arrhenius.ArrheniusDiffusion(
temps, dcoeffs, differr=dcoeffserr
)
arrhenius.fit()
acteng = arrhenius.activation_energy()
if ref[1] is None:
np.testing.assert_almost_equal(acteng.magnitude, ref[0])
else:
np.testing.assert_almost_equal(acteng.value.magnitude, ref[0])
np.testing.assert_almost_equal(acteng.error.magnitude, ref[1])
assert str(acteng.units) == "electron_volt"
@pytest.mark.parametrize(
("temps", "dcoeffs", "dcoeffserr"),
[
( # roughly equivalent to Fuller 1953 silicon data.
np.array([1250, 1153.36, 1063.13, 970.65, 861.04, 769.34]),
np.array(
[
7.72104e-06,
4.386714e-06,
2.23884e-06,
5.58574e-07,
5.15115e-07,
7.58213e-08,
]
),
np.array(
[
1.42028e-06,
9.239103e-07,
6.98605e-07,
1.93034e-07,
1.18240e-07,
2.85640e-09,
]
),
),
( # roughly equivalent to de Souza LJ 2006 data.
np.array(
[
1217.694563,
934.963910,
863.118100,
792.707095,
734.074259,
659.996304,
597.864428,
537.747162,
474.885671,
414.531828,
356.332201,
]
),
np.array(
[
0.031304,
0.020066,
0.017822,
0.014099,
0.011692,
0.008660,
0.007094,
0.004650,
0.003090,
0.001521,
0.000681,
]
),
None,
),
( # roughly equivalent to de Wei-Zhong LJ 2008 Kubo-Green data.
np.array(
[
0.7000154,
0.80037778,
0.90050338,
1.00071451,
1.10114817,
1.20103096,
]
)
* 1_000,
np.array(
[
0.03800871,
0.04596339,
0.05495668,
0.0619257,
0.07191,
0.08090012,
]
),
None,
),
],
)
@check_figures_equal(extensions=["png", "pdf"], tol=0.005)
def test_arrhenius_diffusion_plot(
fig_test, fig_ref, temps, dcoeffs, dcoeffserr
):
"""Test the ArrheniusDiffusion class, plots."""
arrhenius = sierras.arrhenius.ArrheniusDiffusion(
temps, dcoeffs, differr=dcoeffserr
)
model = arrhenius.fit()
slope, intercept = model.slope_, model.intercept_
# test
test_ax = fig_test.subplots()
arrhenius.plot(ax=test_ax)
# expected
exp_ax = fig_ref.subplots()
exp_ax.errorbar(
1 / temps,
np.log(dcoeffs),
yerr=dcoeffserr / dcoeffs if dcoeffserr is not None else None,
marker="o",
ls="",
label="diffusion",
)
exp_ax.plot(
1 / temps, intercept.magnitude + slope.magnitude / temps, label="fit"
)
@pytest.mark.parametrize(
("temps", "dcoeffs", "dcoeffserr", "reffname"),
[
( # roughly equivalent to de Souza LJ 2006 data.
np.array(
[
1217.694563,
934.963910,
863.118100,
792.707095,
734.074259,
659.996304,
597.864428,
537.747162,
474.885671,
414.531828,
356.332201,
]
),
np.array(
[
0.031304,
0.020066,
0.017822,
0.014099,
0.011692,
0.008660,
0.007094,
0.004650,
0.003090,
0.001521,
0.000681,
]
),
None,
"desouza06-LJ.csv",
),
( # roughly equivalent to de Wei-Zhong LJ 2008 Kubo-Green data.
np.array(
[
0.7000154,
0.80037778,
0.90050338,
1.00071451,
1.10114817,
1.20103096,
]
)
* 1_000,
np.array(
[
0.03800871,
0.04596339,
0.05495668,
0.0619257,
0.07191,
0.08090012,
]
),
None,
"wei-zhong08-KG.csv",
),
( # roughly equivalent to Fuller 1953 silicon data.
np.array([1250, 1153.36, 1063.13, 970.65, 861.04, 769.34]),
np.array(
[
7.72104e-06,
4.386714e-06,
2.23884e-06,
5.58574e-07,
5.15115e-07,
7.58213e-08,
]
),
np.array(
[
1.42028e-06,
9.239103e-07,
6.98605e-07,
1.93034e-07,
1.18240e-07,
2.85640e-09,
]
),
"fuller53-Si.csv",
),
],
)
def test_arrhenius_diffusion_to_csv(temps, dcoeffs, dcoeffserr, reffname):
"""Test the ArrheniusDiffusion class, save to csv."""
df_ref = pd.read_csv(str(TEST_DATA_PATH / reffname), dtype=np.float32)
arrhenius = sierras.arrhenius.ArrheniusDiffusion(
temps, dcoeffs, differr=dcoeffserr
)
arrhenius.fit()
df = arrhenius.to_dataframe()
pd.testing.assert_frame_equal(df, df_ref)
| 28.335664
| 78
| 0.366362
| 1,312
| 16,208
| 4.469512
| 0.185213
| 0.04178
| 0.048602
| 0.035812
| 0.747954
| 0.719816
| 0.680082
| 0.672237
| 0.653479
| 0.622783
| 0
| 0.28874
| 0.51345
| 16,208
| 571
| 79
| 28.385289
| 0.454857
| 0.10865
| 0
| 0.685328
| 0
| 0
| 0.018555
| 0
| 0
| 0
| 0
| 0
| 0.025097
| 1
| 0.009653
| false
| 0
| 0.013514
| 0
| 0.023166
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c97161cb4546f4b2abcabc8d7c067a7369360557
| 28
|
py
|
Python
|
AutoSELL.py
|
bombadilx/BitClout
|
ef483aea6e70dcf231373a1bc0ca90ce9ce58a54
|
[
"MIT"
] | 20
|
2021-04-08T02:49:49.000Z
|
2022-01-25T15:38:28.000Z
|
AutoSELL.py
|
hellocrunch/BitClout
|
b0069f90c440d1467a8c29b0bccf3c4886a110b5
|
[
"MIT"
] | 14
|
2021-04-08T03:59:15.000Z
|
2021-06-18T02:24:58.000Z
|
AutoSELL.py
|
hellocrunch/BitClout
|
b0069f90c440d1467a8c29b0bccf3c4886a110b5
|
[
"MIT"
] | 13
|
2021-04-09T17:49:52.000Z
|
2021-07-08T15:10:32.000Z
|
def sell(driver):
pass
| 7
| 17
| 0.607143
| 4
| 28
| 4.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.285714
| 28
| 4
| 18
| 7
| 0.85
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
c97b9d91794665c37498f01883ce5535633834f5
| 47
|
py
|
Python
|
python/testData/refactoring/makeFunctionTopLevel/methodImportUpdates/before/other.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/refactoring/makeFunctionTopLevel/methodImportUpdates/before/other.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/refactoring/makeFunctionTopLevel/methodImportUpdates/before/other.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
from main import C
inst = C()
inst.method(42)
| 9.4
| 18
| 0.680851
| 9
| 47
| 3.555556
| 0.777778
| 0.3125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 0.191489
| 47
| 4
| 19
| 11.75
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
a309f856178505918a187ba7315eaf979f5bef3f
| 267
|
py
|
Python
|
Sem5SLLPYTHON/DataScience/Employee/employ.py
|
RohitNagraj/5th-Sem-ISE
|
d3e29da259c20727dca50ddb282c81877b4755ff
|
[
"MIT"
] | 1
|
2019-10-18T15:19:38.000Z
|
2019-10-18T15:19:38.000Z
|
Sem5SLLPYTHON/DataScience/Employee/employ.py
|
RohitNagraj/5th-Sem-ISE
|
d3e29da259c20727dca50ddb282c81877b4755ff
|
[
"MIT"
] | 2
|
2019-10-19T12:38:52.000Z
|
2019-12-23T11:05:18.000Z
|
Sem5SLLPYTHON/DataScience/Employee/employ.py
|
RohitNagraj/5th-Sem-ISE
|
d3e29da259c20727dca50ddb282c81877b4755ff
|
[
"MIT"
] | 19
|
2019-09-15T12:04:30.000Z
|
2020-10-02T13:21:28.000Z
|
import pandas as pd
employee_data=pd.read_csv('employees.csv')
print(employee_data)
print(employee_data[0:5]['Salary'])
print(employee_data.loc[:,['Salary','Name']])
print(employee_data.loc[[1,3,5],['Salary','Name']])
print(employee_data.loc[2:6,['Salary','Name']])
| 29.666667
| 51
| 0.722846
| 43
| 267
| 4.325581
| 0.44186
| 0.387097
| 0.456989
| 0.322581
| 0.322581
| 0.322581
| 0
| 0
| 0
| 0
| 0
| 0.027344
| 0.041199
| 267
| 9
| 52
| 29.666667
| 0.699219
| 0
| 0
| 0
| 0
| 0
| 0.182836
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.142857
| 0.714286
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
a31e1f21e678e833ea90bfc637b5738d1ebf2030
| 123
|
py
|
Python
|
datagateway_api/wsgi.py
|
MRichards99/datagateway-api
|
2e6133636fed950a16190d2f703f152c73bb5b1b
|
[
"Apache-2.0"
] | 2
|
2022-02-10T17:47:53.000Z
|
2022-02-10T19:04:02.000Z
|
datagateway_api/wsgi.py
|
MRichards99/datagateway-api
|
2e6133636fed950a16190d2f703f152c73bb5b1b
|
[
"Apache-2.0"
] | 183
|
2020-12-02T11:34:18.000Z
|
2022-03-29T15:19:23.000Z
|
datagateway_api/wsgi.py
|
MRichards99/datagateway-api
|
2e6133636fed950a16190d2f703f152c73bb5b1b
|
[
"Apache-2.0"
] | 7
|
2021-04-13T17:26:05.000Z
|
2021-11-22T14:24:24.000Z
|
import logging
import sys
logging.basicConfig(stream=sys.stderr)
from datagateway_api.src.main import app as application
| 17.571429
| 55
| 0.837398
| 18
| 123
| 5.666667
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105691
| 123
| 6
| 56
| 20.5
| 0.927273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
a333a7dd42b7e726ae921b05d13431a7d4e34352
| 26
|
py
|
Python
|
investigate/__init__.py
|
k3vb0t/pyinvestigate
|
26df7ab7ab67f547eb71e57fa48ca5e01131cd8a
|
[
"MIT"
] | 1
|
2019-02-11T17:24:13.000Z
|
2019-02-11T17:24:13.000Z
|
investigate/__init__.py
|
k3vb0t/pyinvestigate
|
26df7ab7ab67f547eb71e57fa48ca5e01131cd8a
|
[
"MIT"
] | null | null | null |
investigate/__init__.py
|
k3vb0t/pyinvestigate
|
26df7ab7ab67f547eb71e57fa48ca5e01131cd8a
|
[
"MIT"
] | null | null | null |
from investigate import *
| 13
| 25
| 0.807692
| 3
| 26
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 26
| 1
| 26
| 26
| 0.954545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
a389596251f34d9d5f2333600dc682707abace4b
| 48
|
py
|
Python
|
backend/users/urls.py
|
zivlir/foodgram-project-react
|
62483988298bd935472d351df54511fc8c225bd5
|
[
"MIT"
] | 2
|
2021-08-18T07:32:49.000Z
|
2021-08-18T07:32:53.000Z
|
backend/users/urls.py
|
zivlir/foodgram-project-react
|
62483988298bd935472d351df54511fc8c225bd5
|
[
"MIT"
] | null | null | null |
backend/users/urls.py
|
zivlir/foodgram-project-react
|
62483988298bd935472d351df54511fc8c225bd5
|
[
"MIT"
] | null | null | null |
# Not quite sure if a separate app is necessary
| 24
| 47
| 0.770833
| 9
| 48
| 4.111111
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 48
| 1
| 48
| 48
| 0.973684
| 0.9375
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6e6cf3562e951e847cb8983cc4f023fbc647e6c6
| 512
|
py
|
Python
|
cache.py
|
yavorsky/SublimeBump
|
b2542750699a4a9d283cc3ade6d5b03a2364568c
|
[
"MIT",
"Unlicense"
] | 1
|
2017-10-25T22:55:35.000Z
|
2017-10-25T22:55:35.000Z
|
cache.py
|
yavorsky/SublimeBump
|
b2542750699a4a9d283cc3ade6d5b03a2364568c
|
[
"MIT",
"Unlicense"
] | null | null | null |
cache.py
|
yavorsky/SublimeBump
|
b2542750699a4a9d283cc3ade6d5b03a2364568c
|
[
"MIT",
"Unlicense"
] | null | null | null |
versions = {}
def get_by_vid(vid):
return versions[vid]
def get_by_package(package, version_mode, vid):
if not in_cache(package, version_mode, vid):
return None
return versions[vid][package + version_mode]
def in_cache(package, version_mode, vid):
package_str = package + version_mode
return vid in versions and package_str in versions[vid]
def set_package(package, version_mode, vid, version):
if (vid not in versions): versions[vid] = {}
versions[vid][package + version_mode] = version
| 28.444444
| 57
| 0.740234
| 76
| 512
| 4.776316
| 0.223684
| 0.269972
| 0.347107
| 0.231405
| 0.46832
| 0.15427
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158203
| 512
| 17
| 58
| 30.117647
| 0.842227
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0
| 0
| 0.076923
| 0.615385
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
6e6de037e69af0f6a54d6b354a209e1ade4e58be
| 83
|
py
|
Python
|
football_analytics_platform/source/football_data_uk/__init__.py
|
JonNixonCodes/football-analytics-platform
|
8be8e7f2a3638f74490462013b0e91db1b2be98d
|
[
"MIT"
] | null | null | null |
football_analytics_platform/source/football_data_uk/__init__.py
|
JonNixonCodes/football-analytics-platform
|
8be8e7f2a3638f74490462013b0e91db1b2be98d
|
[
"MIT"
] | null | null | null |
football_analytics_platform/source/football_data_uk/__init__.py
|
JonNixonCodes/football-analytics-platform
|
8be8e7f2a3638f74490462013b0e91db1b2be98d
|
[
"MIT"
] | null | null | null |
from .extract import get_csv_url, download_csv
from .transform import transform_csv
| 41.5
| 46
| 0.86747
| 13
| 83
| 5.230769
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096386
| 83
| 2
| 47
| 41.5
| 0.906667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6ea12a6b67f630c759a4582eecc6cf1013c3b1f6
| 66
|
py
|
Python
|
ramda/replace.py
|
Rafi993/pyramda
|
4fa7fe28d5eaa798b702d28bdd3948515cb88f48
|
[
"MIT"
] | 1
|
2018-08-05T04:41:14.000Z
|
2018-08-05T04:41:14.000Z
|
ramda/replace.py
|
Rafi993/pyramda
|
4fa7fe28d5eaa798b702d28bdd3948515cb88f48
|
[
"MIT"
] | 3
|
2018-06-12T18:42:05.000Z
|
2018-07-23T11:50:25.000Z
|
ramda/replace.py
|
slavaGanzin/pyramda
|
4fa7fe28d5eaa798b702d28bdd3948515cb88f48
|
[
"MIT"
] | null | null | null |
from ramda.curry import curry
import re
replace = curry(re.sub)
| 11
| 29
| 0.757576
| 11
| 66
| 4.545455
| 0.636364
| 0.44
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 66
| 5
| 30
| 13.2
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6ea1ce1dda06ddaa99e8254ff6b1650dfed9ce51
| 446
|
py
|
Python
|
database_sql/Age.py
|
sustcjudgement/Judgement_information_extraction
|
c769eb1cb7ee695a157a981dbe9cd9d6559d072b
|
[
"MIT"
] | 1
|
2019-05-30T07:07:13.000Z
|
2019-05-30T07:07:13.000Z
|
database_sql/Age.py
|
sustcjudgement/Judgement_information_extraction
|
c769eb1cb7ee695a157a981dbe9cd9d6559d072b
|
[
"MIT"
] | null | null | null |
database_sql/Age.py
|
sustcjudgement/Judgement_information_extraction
|
c769eb1cb7ee695a157a981dbe9cd9d6559d072b
|
[
"MIT"
] | null | null | null |
class AgeBean:
def __init__(self, judgement_id=0,
age=''):
self._judgement_id = judgement_id
self._age = age
@property
def judgement_id(self):
return int(self.judgement_id)
@judgement_id.setter
def judgement_id(self, id):
self._judgement_id = id
@property
def age(self):
return str(self._age)
@age.setter
def age(self, age):
self._age = age
| 20.272727
| 41
| 0.585202
| 56
| 446
| 4.357143
| 0.25
| 0.360656
| 0.245902
| 0.196721
| 0.213115
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003279
| 0.316144
| 446
| 22
| 42
| 20.272727
| 0.796721
| 0
| 0
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.294118
| false
| 0
| 0
| 0.117647
| 0.470588
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
6ea6d894031b9ee956b14f5880144ba308e197d2
| 88
|
py
|
Python
|
lark/parsers/lalr_puppet.py
|
michael-k/lark
|
d637b1179fa5ac9f0751b9f3321eeba5fd1b3b75
|
[
"MIT"
] | 1
|
2021-07-22T14:08:10.000Z
|
2021-07-22T14:08:10.000Z
|
lark/parsers/lalr_puppet.py
|
michael-k/lark
|
d637b1179fa5ac9f0751b9f3321eeba5fd1b3b75
|
[
"MIT"
] | 3
|
2020-11-21T22:22:12.000Z
|
2020-11-21T22:29:08.000Z
|
lark/parsers/lalr_puppet.py
|
michael-k/lark
|
d637b1179fa5ac9f0751b9f3321eeba5fd1b3b75
|
[
"MIT"
] | null | null | null |
# Deprecated
from .lalr_interactive_parser import ParserPuppet, ImmutableParserPuppet
| 29.333333
| 72
| 0.863636
| 8
| 88
| 9.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102273
| 88
| 3
| 72
| 29.333333
| 0.936709
| 0.113636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6ebdfcd655fc135d0daa52ed9a1daed2160fa59e
| 213
|
py
|
Python
|
server/dockerVersion/app/emotion.py
|
ChenLi0830/Clevo-Emotion-Detection-Service
|
2983963e01b92deac447b0b953adffe8e0455c29
|
[
"Apache-2.0"
] | null | null | null |
server/dockerVersion/app/emotion.py
|
ChenLi0830/Clevo-Emotion-Detection-Service
|
2983963e01b92deac447b0b953adffe8e0455c29
|
[
"Apache-2.0"
] | null | null | null |
server/dockerVersion/app/emotion.py
|
ChenLi0830/Clevo-Emotion-Detection-Service
|
2983963e01b92deac447b0b953adffe8e0455c29
|
[
"Apache-2.0"
] | null | null | null |
import graphene
class Emotion(graphene.ObjectType):
begin = graphene.String()
end = graphene.String()
# prob = graphene.String()
prob = graphene.List(graphene.Float)
tag = graphene.String()
| 19.363636
| 40
| 0.676056
| 23
| 213
| 6.26087
| 0.521739
| 0.388889
| 0.25
| 0.361111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201878
| 213
| 10
| 41
| 21.3
| 0.847059
| 0.112676
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
6eead57918d0a832e963396c72c335e6057f7fc7
| 47
|
py
|
Python
|
kazoo_locks/management/commands/__init__.py
|
innovationinit/django-kazoo-locks
|
91ceb37ab92dad97659f24a9a7ace3bb9ae3ba10
|
[
"BSD-2-Clause"
] | null | null | null |
kazoo_locks/management/commands/__init__.py
|
innovationinit/django-kazoo-locks
|
91ceb37ab92dad97659f24a9a7ace3bb9ae3ba10
|
[
"BSD-2-Clause"
] | null | null | null |
kazoo_locks/management/commands/__init__.py
|
innovationinit/django-kazoo-locks
|
91ceb37ab92dad97659f24a9a7ace3bb9ae3ba10
|
[
"BSD-2-Clause"
] | 1
|
2022-03-15T07:30:07.000Z
|
2022-03-15T07:30:07.000Z
|
"""Management commands for kazoo_locks app."""
| 23.5
| 46
| 0.744681
| 6
| 47
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106383
| 47
| 1
| 47
| 47
| 0.809524
| 0.851064
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
42e7cba6567606110fe9844fad84e249c46eef26
| 80
|
py
|
Python
|
py/solns/concatArray/concatArray.py
|
zcemycl/algoTest
|
9518fb2b60fd83c85aeb2ab809ff647aaf643f0a
|
[
"MIT"
] | 1
|
2022-01-26T16:33:45.000Z
|
2022-01-26T16:33:45.000Z
|
py/solns/concatArray/concatArray.py
|
zcemycl/algoTest
|
9518fb2b60fd83c85aeb2ab809ff647aaf643f0a
|
[
"MIT"
] | null | null | null |
py/solns/concatArray/concatArray.py
|
zcemycl/algoTest
|
9518fb2b60fd83c85aeb2ab809ff647aaf643f0a
|
[
"MIT"
] | 1
|
2022-01-26T16:35:44.000Z
|
2022-01-26T16:35:44.000Z
|
class Solution:
@staticmethod
def naive(nums):
return nums+nums
| 16
| 24
| 0.6375
| 9
| 80
| 5.666667
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2875
| 80
| 4
| 25
| 20
| 0.894737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
42ee8d8c704c811da74e0b2239b645cb1fc52fba
| 740
|
py
|
Python
|
homework/homework 2.py
|
CoderLoveMath/Jeju-IOSEFTGS-python
|
0efe26e3840817197c1584ac4cf90d35c3699988
|
[
"FSFAP"
] | null | null | null |
homework/homework 2.py
|
CoderLoveMath/Jeju-IOSEFTGS-python
|
0efe26e3840817197c1584ac4cf90d35c3699988
|
[
"FSFAP"
] | null | null | null |
homework/homework 2.py
|
CoderLoveMath/Jeju-IOSEFTGS-python
|
0efe26e3840817197c1584ac4cf90d35c3699988
|
[
"FSFAP"
] | null | null | null |
import time
print("""
__ __ _ _ _ __ __
| \/ (_) | | | | | \/ |
| \ / |_ _ __ _ _| |_ ___ | |_ ___ | \ / | __ _ _ __ _ _
| |\/| | | '_ \| | | | __/ _ \ | __/ _ \ | |\/| |/ _` | '_ \| | | |
| | | | | | | | |_| | || __/ | || (_) | | | | | (_| | | | | |_| |
|_| |_|_|_| |_|\__,_|\__\___| \__\___/ |_| |_|\__,_|_| |_|\__, |
__/ |
|___/
""")
base = int(input('minute time: '))
print('converting...')
time.sleep(2)
h = base // 60
m = base % 60
print('convert finished: ', h, 'hour', m, 'minute')
| 38.947368
| 69
| 0.255405
| 26
| 740
| 4.153846
| 0.615385
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013966
| 0.516216
| 740
| 19
| 70
| 38.947368
| 0.28771
| 0
| 0
| 0
| 0
| 0.235294
| 0.82861
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.058824
| 0
| 0.058824
| 0.176471
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6e194e1fd740304c6f2eff36d11dbc33b09da4b6
| 4,360
|
py
|
Python
|
tests/components/bulkRNASeq/test_bulkRNASeq_components.py
|
J-81/dp_tools
|
a9e0401e4da0dc8002ea153184d5590bc41feedc
|
[
"MIT"
] | null | null | null |
tests/components/bulkRNASeq/test_bulkRNASeq_components.py
|
J-81/dp_tools
|
a9e0401e4da0dc8002ea153184d5590bc41feedc
|
[
"MIT"
] | null | null | null |
tests/components/bulkRNASeq/test_bulkRNASeq_components.py
|
J-81/dp_tools
|
a9e0401e4da0dc8002ea153184d5590bc41feedc
|
[
"MIT"
] | null | null | null |
import os
from pathlib import Path
from dp_tools.bulkRNASeq.loaders import load_BulkRNASeq_STAGE_00
import pytest
def test_bulkRNASeq_STAGE00_Components_paired(glds194_dataSystem_STAGE00):
# iterate through all raw read components
for sample in glds194_dataSystem_STAGE00.dataset.samples.values():
fwdReads = sample.rawForwardReads
revReads = sample.rawReverseReads
# test general stats from multiqc
assert fwdReads.mqcData["FastQC"]["General_Stats"]["total_sequences"] == 200
assert revReads.mqcData["FastQC"]["General_Stats"]["total_sequences"] == 200
assert fwdReads.mqcData["FastQC"]["General_Stats"]["total_sequences"] == 200
assert revReads.mqcData["FastQC"]["General_Stats"]["total_sequences"] == 200
# test plot data from multiqc
# should return a dataframe representing plot data for the sample
assert set(fwdReads.mqcData["FastQC"]["Plots"].keys()) == {
"Adapter Content:Subplot::illumina_universal_adapter",
"Mean Quality Scores",
"Overrepresented sequences",
"Per Base N Content",
"Per Sequence GC Content",
"Per Sequence Quality Scores",
"Sequence Counts",
"Sequence Duplication Levels",
}
assert set(revReads.mqcData["FastQC"]["Plots"].keys()) == {
"Adapter Content:Subplot::illumina_universal_adapter",
"Mean Quality Scores",
"Overrepresented sequences",
"Per Base N Content",
"Per Sequence GC Content",
"Per Sequence Quality Scores",
"Sequence Counts",
"Sequence Duplication Levels",
}
def test_bulkRNASeq_STAGE00_Components_single(glds48_dataSystem_STAGE00):
# iterate through all raw read components
for sample in glds48_dataSystem_STAGE00.dataset.samples.values():
reads = sample.rawReads
# test general stats from multiqc
assert reads.mqcData["FastQC"]["General_Stats"]["total_sequences"] == 200
# test plot data from multiqc
# should return a dataframe representing plot data for the sample
assert set(reads.mqcData["FastQC"]["Plots"].keys()).issuperset(
{
"Mean Quality Scores",
"Overrepresented sequences",
"Per Base N Content",
"Per Sequence GC Content",
"Per Sequence Quality Scores",
"Sequence Counts",
"Sequence Duplication Levels",
}
)
def test_bulkRNASeq_STAGE01_Components_paired(glds194_dataSystem_STAGE01):
# iterate through all raw read components
for sample in glds194_dataSystem_STAGE01.dataset.samples.values():
fwdReads = sample.trimForwardReads
revReads = sample.trimReverseReads
# test general stats from multiqc
assert fwdReads.mqcData["FastQC"]["General_Stats"]["total_sequences"] <= 200
assert revReads.mqcData["FastQC"]["General_Stats"]["total_sequences"] <= 200
# test plot data from multiqc
# should return a dataframe representing plot data for the sample
assert set(fwdReads.mqcData.keys()) == {"Cutadapt", "FastQC"}
assert set(revReads.mqcData.keys()) == {"Cutadapt", "FastQC"}
assert set(fwdReads.mqcData["FastQC"].keys()) == {"General_Stats", "Plots"}
assert set(revReads.mqcData["FastQC"].keys()) == {"General_Stats", "Plots"}
assert set(fwdReads.mqcData["Cutadapt"].keys()) == {"General_Stats", "Plots"}
assert set(revReads.mqcData["Cutadapt"].keys()) == {"General_Stats", "Plots"}
def test_bulkRNASeq_STAGE01_Components_single(glds48_dataSystem_STAGE01):
# iterate through all raw read components
for sample in glds48_dataSystem_STAGE01.dataset.samples.values():
reads = sample.trimReads
# test general stats from multiqc
assert reads.mqcData["FastQC"]["General_Stats"]["total_sequences"] <= 200
# test plot data from multiqc
# should return a dataframe representing plot data for the sample
assert set(reads.mqcData.keys()) == {"Cutadapt", "FastQC"}
assert set(reads.mqcData["FastQC"].keys()) == {"General_Stats", "Plots"}
assert set(reads.mqcData["Cutadapt"].keys()) == {"General_Stats", "Plots"}
| 42.330097
| 85
| 0.651606
| 459
| 4,360
| 6.054466
| 0.178649
| 0.077726
| 0.057575
| 0.071968
| 0.894566
| 0.788053
| 0.7276
| 0.7276
| 0.662109
| 0.662109
| 0
| 0.02111
| 0.23945
| 4,360
| 102
| 86
| 42.745098
| 0.816948
| 0.150229
| 0
| 0.409091
| 0
| 0
| 0.28769
| 0.023319
| 0
| 0
| 0
| 0
| 0.30303
| 1
| 0.060606
| false
| 0
| 0.060606
| 0
| 0.121212
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2851dc722cbfa1b4382085538e25b7ebddf73fca
| 226
|
py
|
Python
|
chpro/views/__init__.py
|
rapidpro/chpro
|
ece93e698a0811fb612c2815459f711f58f1070c
|
[
"BSD-3-Clause"
] | null | null | null |
chpro/views/__init__.py
|
rapidpro/chpro
|
ece93e698a0811fb612c2815459f711f58f1070c
|
[
"BSD-3-Clause"
] | 37
|
2018-04-12T16:59:04.000Z
|
2018-09-12T08:05:02.000Z
|
chpro/views/__init__.py
|
rapidpro/chpro
|
ece93e698a0811fb612c2815459f711f58f1070c
|
[
"BSD-3-Clause"
] | null | null | null |
def load():
"""
This defines the views to be imported and the correct order to do so.
This should be called when initializing the application.
"""
import chpro.views.databases
import chpro.views.users
| 25.111111
| 73
| 0.690265
| 32
| 226
| 4.875
| 0.71875
| 0.141026
| 0.205128
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.243363
| 226
| 8
| 74
| 28.25
| 0.912281
| 0.557522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.666667
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
956446c9d64ed30b2e345fbd2203cc3a7571ea39
| 71
|
py
|
Python
|
change_grounp/main.py
|
huangjunxiong11/test007
|
8df48fe1ec36e4ef906a184ec901539e00eea141
|
[
"MIT"
] | null | null | null |
change_grounp/main.py
|
huangjunxiong11/test007
|
8df48fe1ec36e4ef906a184ec901539e00eea141
|
[
"MIT"
] | null | null | null |
change_grounp/main.py
|
huangjunxiong11/test007
|
8df48fe1ec36e4ef906a184ec901539e00eea141
|
[
"MIT"
] | null | null | null |
# 这是张三修改的内容
# 这是经理修改的内容
# 张三第二次修改内容
# 经理第二次修改内容
# 经理切换到hjx的分支并修改的内容
| 7.888889
| 19
| 0.746479
| 5
| 71
| 10.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.183099
| 71
| 8
| 20
| 8.875
| 0.913793
| 0.802817
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
95775bd914e9a97302e86aadb2adb9d624a7492e
| 48
|
py
|
Python
|
nanoblocks/exceptions/payment_timeout_error.py
|
ipazc/nanoblocks
|
d7433b60029e4bcda4c2c802c3ff05c53d7b220a
|
[
"MIT"
] | 3
|
2021-03-16T23:59:37.000Z
|
2021-12-11T13:52:46.000Z
|
nanoblocks/exceptions/payment_timeout_error.py
|
ipazc/nanoblocks
|
d7433b60029e4bcda4c2c802c3ff05c53d7b220a
|
[
"MIT"
] | 1
|
2021-04-02T14:11:02.000Z
|
2021-06-16T00:03:33.000Z
|
nanoblocks/exceptions/payment_timeout_error.py
|
ipazc/nanoblocks
|
d7433b60029e4bcda4c2c802c3ff05c53d7b220a
|
[
"MIT"
] | null | null | null |
class PaymentTimeoutError(Exception):
pass
| 12
| 37
| 0.770833
| 4
| 48
| 9.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 48
| 3
| 38
| 16
| 0.925
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
9597b90485e7797226e14d742be7cbe7816b8f89
| 51
|
py
|
Python
|
third_party/bi_att_flow/my/tensorflow/__init__.py
|
jmrf/active-qa
|
c30af7be435ccbbec5a7c6b35659256473503e5d
|
[
"Apache-2.0"
] | 327
|
2018-07-30T06:19:10.000Z
|
2022-02-23T12:28:19.000Z
|
third_party/bi_att_flow/my/tensorflow/__init__.py
|
jmrf/active-qa
|
c30af7be435ccbbec5a7c6b35659256473503e5d
|
[
"Apache-2.0"
] | 30
|
2018-10-11T14:33:27.000Z
|
2021-03-26T07:28:28.000Z
|
third_party/bi_att_flow/my/tensorflow/__init__.py
|
jmrf/active-qa
|
c30af7be435ccbbec5a7c6b35659256473503e5d
|
[
"Apache-2.0"
] | 65
|
2018-10-11T01:53:00.000Z
|
2021-09-19T09:34:28.000Z
|
from third_party.bi_att_flow.my.tensorflow import *
| 51
| 51
| 0.862745
| 9
| 51
| 4.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 51
| 1
| 51
| 51
| 0.854167
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
95d74e930eb1288c0598f501be30e18a4554f6b2
| 13,568
|
py
|
Python
|
tests/integrations/test_django.py
|
ForroKulcs/bugsnag-python
|
107c1add31a2202cc08ef944aa00ab96996b247a
|
[
"MIT"
] | null | null | null |
tests/integrations/test_django.py
|
ForroKulcs/bugsnag-python
|
107c1add31a2202cc08ef944aa00ab96996b247a
|
[
"MIT"
] | null | null | null |
tests/integrations/test_django.py
|
ForroKulcs/bugsnag-python
|
107c1add31a2202cc08ef944aa00ab96996b247a
|
[
"MIT"
] | null | null | null |
import bugsnag
import pytest
import django
from django.contrib.auth.models import User
from django.test import Client
try:
from django.template.exceptions import TemplateSyntaxError
template_error_class = 'django.template.exceptions.TemplateSyntaxError'
except ImportError:
from django.template.base import TemplateSyntaxError
template_error_class = 'django.template.base.TemplateSyntaxError'
from django.conf import settings
from tests.utils import MissingRequestError
# All tests will be treated as marked.
pytestmark = [pytest.mark.django_db]
def pytest_configure(bugsnag_server):
settings.configure(BUGSNAG={
'endpoint': bugsnag_server.url,
'session_endpoint': bugsnag_server.url,
})
@pytest.fixture
def django_client():
client = Client()
User.objects.create_user(
username='test',
email='test@example.com',
password='hunter2')
yield client
client.logout()
User.objects.all().delete()
def test_notify(bugsnag_server, django_client):
response = django_client.get('/notes/handled-exception/?foo=strawberry')
assert response.status_code == 200
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
exception = event['exceptions'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'notes.views.handle_notify'
assert event['severityReason'] == {'type': 'handledException'}
assert event['device']['runtimeVersions']['django'] == django.__version__
assert 'environment' not in payload['events'][0]['metaData']
assert event['metaData']['request'] == {
'method': 'GET',
'url': 'http://testserver/notes/handled-exception/?foo=strawberry',
'path': '/notes/handled-exception/',
'POST': {},
'encoding': None,
'GET': {'foo': ['strawberry']}
}
assert event['user'] == {}
assert exception['errorClass'] == 'KeyError'
assert exception['message'] == "'nonexistent-item'"
assert exception['stacktrace'][0] == {
'code': {
'39': 'def handle_notify(request):',
'40': ' items = {}',
'41': ' try:',
'42': ' print("item: {}" % items["nonexistent-item"])',
'43': ' except KeyError as e:',
'44': " bugsnag.notify(e, unhappy='nonexistent-file')",
'45': '',
},
'file': 'notes/views.py',
'inProject': True,
'lineNumber': 42,
'method': 'handle_notify',
}
def test_enable_environment(bugsnag_server, django_client):
bugsnag.configure(send_environment=True)
response = django_client.get('/notes/handled-exception/?foo=strawberry')
assert response.status_code == 200
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
assert event['metaData']['environment']['REQUEST_METHOD'] == 'GET'
def test_notify_custom_info(bugsnag_server, django_client):
django_client.get('/notes/handled-exception-custom/')
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'custom_info'
assert event['severityReason'] == {'type': 'userSpecifiedSeverity'}
assert event['severity'] == 'info'
def test_notify_post_body(bugsnag_server, django_client):
response = django_client.post('/notes/handled-exception/',
'{"foo": "strawberry"}',
content_type='application/json')
assert response.status_code == 200
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
exception = event['exceptions'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'notes.views.handle_notify'
assert event['severityReason'] == {'type': 'handledException'}
assert event['severity'] == 'warning'
assert event['device']['runtimeVersions']['django'] == django.__version__
assert event['metaData']['request'] == {
'method': 'POST',
'url': 'http://testserver/notes/handled-exception/',
'path': '/notes/handled-exception/',
'GET': {},
'encoding': None,
'POST': {'foo': 'strawberry'}
}
assert event['user'] == {}
assert exception['errorClass'] == 'KeyError'
assert exception['message'] == "'nonexistent-item'"
assert exception['stacktrace'][0] == {
'code': {
'39': 'def handle_notify(request):',
'40': ' items = {}',
'41': ' try:',
'42': ' print("item: {}" % items["nonexistent-item"])',
'43': ' except KeyError as e:',
'44': " bugsnag.notify(e, unhappy='nonexistent-file')",
'45': '',
},
'file': 'notes/views.py',
'inProject': True,
'lineNumber': 42,
'method': 'handle_notify',
}
def test_unhandled_exception(bugsnag_server, django_client):
with pytest.raises(RuntimeError):
django_client.get('/notes/unhandled-crash/')
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
exception = event['exceptions'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'crash'
assert event['severityReason'] == {
'type': 'unhandledExceptionMiddleware',
'attributes': {'framework': 'Django'}
}
assert event['device']['runtimeVersions']['django'] == django.__version__
assert event['metaData']['request'] == {
'method': 'GET',
'url': 'http://testserver/notes/unhandled-crash/',
'path': '/notes/unhandled-crash/',
'POST': {},
'encoding': None,
'GET': {}
}
assert event['user'] == {}
assert exception['errorClass'] == 'RuntimeError'
assert exception['message'] == 'failed to return in time'
assert exception['stacktrace'][0] == {
'method': 'unhandled_crash',
'file': 'notes/views.py',
'lineNumber': 32,
'inProject': True,
'code': {
'29': '',
'30': '',
'31': 'def unhandled_crash(request):',
'32': " raise RuntimeError('failed to return in time')",
'33': '',
'34': '',
'35': 'def unhandled_crash_in_template(request):',
},
}
assert exception['stacktrace'][1]['inProject'] is False
def test_unhandled_exception_in_template(bugsnag_server, django_client):
with pytest.raises(TemplateSyntaxError):
django_client.get('/notes/unhandled-template-crash/')
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
exception = event['exceptions'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'notes.views.unhandled_crash_in_template'
assert event['severityReason'] == {
'type': 'unhandledExceptionMiddleware',
'attributes': {'framework': 'Django'}
}
assert event['device']['runtimeVersions']['django'] == django.__version__
assert event['metaData']['request'] == {
'method': 'GET',
'url': 'http://testserver/notes/unhandled-template-crash/',
'path': '/notes/unhandled-template-crash/',
'POST': {},
'encoding': None,
'GET': {}
}
assert event['user'] == {}
assert exception['errorClass'] == template_error_class
assert 'idunno()' in exception['message']
def test_ignores_http404(bugsnag_server, django_client):
response = django_client.get('/notes/missing_route/')
assert response.status_code == 404
with pytest.raises(MissingRequestError):
bugsnag_server.wait_for_request()
assert len(bugsnag_server.received) == 0
def test_report_error_from_http404handler(bugsnag_server, django_client):
with pytest.raises(Exception):
django_client.get('/notes/poorly-handled-404')
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
exception = event['exceptions'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'GET /notes/poorly-handled-404'
assert event['severityReason'] == {
'type': 'unhandledExceptionMiddleware',
'attributes': {'framework': 'Django'}
}
assert event['device']['runtimeVersions']['django'] == django.__version__
assert event['metaData']['request'] == {
'method': 'GET',
'url': 'http://testserver/notes/poorly-handled-404',
'path': '/notes/poorly-handled-404',
'POST': {},
'encoding': None,
'GET': {}
}
assert exception['errorClass'] == 'Exception'
assert exception['message'] == 'nah'
assert exception['stacktrace'][0] == {
'method': 'handler404',
'file': 'todo/urls.py',
'lineNumber': 11,
'inProject': True,
'code': {
'8': '',
'9': 'def handler404(request, *args, **kwargs):',
'10': " if 'poorly-handled-404' in request.path:",
'11': " raise Exception('nah')",
'12': '',
'13': " response = HttpResponseNotFound('Terrible happenings!',", # noqa: E501
'14': " content_type='text/plain')", # noqa: E501
},
}
def test_notify_appends_user_data(bugsnag_server, django_client):
django_client.login(username='test', password='hunter2')
response = django_client.get('/notes/handled-exception/?foo=strawberry')
assert response.status_code == 200
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
exception = event['exceptions'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'notes.views.handle_notify'
assert event['severityReason'] == {'type': 'handledException'}
assert event['device']['runtimeVersions']['django'] == django.__version__
assert event['metaData']['custom']['unhappy'] == 'nonexistent-file'
assert event['metaData']['request'] == {
'method': 'GET',
'url': 'http://testserver/notes/handled-exception/?foo=strawberry',
'path': '/notes/handled-exception/',
'POST': {},
'encoding': None,
'GET': {'foo': ['strawberry']}
}
assert event['user'] == {'email': 'test@example.com', 'id': 'test'}
assert exception['errorClass'] == 'KeyError'
assert exception['message'] == "'nonexistent-item'"
assert exception['stacktrace'][0] == {
'code': {
'39': 'def handle_notify(request):',
'40': ' items = {}',
'41': ' try:',
'42': ' print("item: {}" % items["nonexistent-item"])',
'43': ' except KeyError as e:',
'44': " bugsnag.notify(e, unhappy='nonexistent-file')",
'45': '',
},
'file': 'notes/views.py',
'inProject': True,
'lineNumber': 42,
'method': 'handle_notify',
}
def test_crash_appends_user_data(bugsnag_server, django_client):
django_client.login(username='test', password='hunter2')
with pytest.raises(RuntimeError):
django_client.get('/notes/unhandled-crash/')
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
exception = event['exceptions'][0]
assert payload['apiKey'] == 'a05afff2bd2ffaf0ab0f52715bbdcffd'
assert event['context'] == 'crash'
assert event['severityReason'] == {
'type': 'unhandledExceptionMiddleware',
'attributes': {'framework': 'Django'}
}
assert event['device']['runtimeVersions']['django'] == django.__version__
assert event['metaData']['request'] == {
'method': 'GET',
'url': 'http://testserver/notes/unhandled-crash/',
'path': '/notes/unhandled-crash/',
'POST': {},
'encoding': None,
'GET': {}
}
assert event['user'] == {'email': 'test@example.com', 'id': 'test'}
assert exception['errorClass'] == 'RuntimeError'
assert exception['message'] == 'failed to return in time'
assert exception['stacktrace'][0] == {
'method': 'unhandled_crash',
'file': 'notes/views.py',
'lineNumber': 32,
'inProject': True,
'code': {
'29': '',
'30': '',
'31': 'def unhandled_crash(request):',
'32': " raise RuntimeError('failed to return in time')",
'33': '',
'34': '',
'35': 'def unhandled_crash_in_template(request):',
},
}
assert exception['stacktrace'][1]['inProject'] is False
def test_read_request_in_callback(bugsnag_server, django_client):
with pytest.raises(RuntimeError):
django_client.get('/notes/crash-with-callback/?user_id=foo')
bugsnag_server.wait_for_request()
payload = bugsnag_server.received[0]['json_body']
event = payload['events'][0]
assert event['context'] == 'foo'
| 35.98939
| 97
| 0.6037
| 1,316
| 13,568
| 6.073708
| 0.142097
| 0.056424
| 0.026148
| 0.034405
| 0.776805
| 0.752408
| 0.740023
| 0.709871
| 0.701989
| 0.692231
| 0
| 0.02581
| 0.228995
| 13,568
| 376
| 98
| 36.085106
| 0.738266
| 0.004275
| 0
| 0.662539
| 0
| 0
| 0.35673
| 0.114023
| 0
| 0
| 0
| 0
| 0.241486
| 1
| 0.040248
| false
| 0.009288
| 0.03096
| 0
| 0.071207
| 0.009288
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2555e6b8dd6259023781537f54dd759132bb5ecd
| 49
|
py
|
Python
|
mathics/builtin/numbers/__init__.py
|
tirkarthi/mathics-core
|
6b07500b935f23dc332f4ec3fac1d71ac4c8fc04
|
[
"Apache-2.0"
] | 90
|
2021-09-11T14:14:00.000Z
|
2022-03-29T02:08:29.000Z
|
mathics/builtin/numbers/__init__.py
|
tirkarthi/mathics-core
|
6b07500b935f23dc332f4ec3fac1d71ac4c8fc04
|
[
"Apache-2.0"
] | 187
|
2021-09-13T01:00:41.000Z
|
2022-03-31T11:52:52.000Z
|
mathics/builtin/numbers/__init__.py
|
tirkarthi/mathics-core
|
6b07500b935f23dc332f4ec3fac1d71ac4c8fc04
|
[
"Apache-2.0"
] | 10
|
2021-10-05T15:44:26.000Z
|
2022-03-21T12:34:33.000Z
|
"""
Integer and Number-Theoretical Functions
"""
| 12.25
| 40
| 0.734694
| 5
| 49
| 7.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122449
| 49
| 3
| 41
| 16.333333
| 0.837209
| 0.816327
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c2a6ca7ec68faf0efa4684f97ad593903be62ca9
| 61
|
py
|
Python
|
schwarz/puzzle_plugins/__init__.py
|
FelixSchwarz/puzzle-plugin-system
|
3f95420c43ff40c40309bcc58cd4414b16921a35
|
[
"CC0-1.0"
] | null | null | null |
schwarz/puzzle_plugins/__init__.py
|
FelixSchwarz/puzzle-plugin-system
|
3f95420c43ff40c40309bcc58cd4414b16921a35
|
[
"CC0-1.0"
] | 1
|
2020-10-29T09:31:49.000Z
|
2020-10-29T09:31:49.000Z
|
schwarz/puzzle_plugins/__init__.py
|
FelixSchwarz/puzzle-plugin-system
|
3f95420c43ff40c40309bcc58cd4414b16921a35
|
[
"CC0-1.0"
] | null | null | null |
from .plugin_loader import *
from .signal_registry import *
| 15.25
| 30
| 0.786885
| 8
| 61
| 5.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147541
| 61
| 3
| 31
| 20.333333
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
c2b5752ae26292707cf3f8fb68705fc305420b8b
| 47
|
py
|
Python
|
libpycr/builtin/__init__.py
|
JcDelay/pycr
|
f729e003473b421b76bc49c5d55d06d7086d63cc
|
[
"Apache-2.0"
] | 1
|
2015-03-12T10:34:38.000Z
|
2015-03-12T10:34:38.000Z
|
libpycr/builtin/__init__.py
|
JcDelay/pycr
|
f729e003473b421b76bc49c5d55d06d7086d63cc
|
[
"Apache-2.0"
] | null | null | null |
libpycr/builtin/__init__.py
|
JcDelay/pycr
|
f729e003473b421b76bc49c5d55d06d7086d63cc
|
[
"Apache-2.0"
] | null | null | null |
"""Contains the command line tools builtins"""
| 23.5
| 46
| 0.744681
| 6
| 47
| 5.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12766
| 47
| 1
| 47
| 47
| 0.853659
| 0.851064
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c2d3b682d19f9ef721a62d0731cc519e25730fc7
| 163
|
py
|
Python
|
test/test_evaluate/not_in_sys_path/pkg/module.py
|
immerrr/jedi
|
293fa5a14f373bdc0472de8f6ffec89571084458
|
[
"MIT"
] | 97
|
2016-06-19T18:48:04.000Z
|
2022-03-01T16:26:33.000Z
|
test/test_evaluate/not_in_sys_path/pkg/module.py
|
blueyed/jedi
|
a01e4c6b375795bb8c8ee0d4e86d4c535456f5b4
|
[
"MIT"
] | null | null | null |
test/test_evaluate/not_in_sys_path/pkg/module.py
|
blueyed/jedi
|
a01e4c6b375795bb8c8ee0d4e86d4c535456f5b4
|
[
"MIT"
] | 15
|
2016-07-06T14:54:25.000Z
|
2021-09-19T18:57:18.000Z
|
import not_in_sys_path
import not_in_sys_path_package
from not_in_sys_path_package import module
not_in_sys_path.value
not_in_sys_path_package.value
module.value
| 20.375
| 42
| 0.907975
| 32
| 163
| 4.0625
| 0.28125
| 0.192308
| 0.307692
| 0.461538
| 0.623077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07362
| 163
| 7
| 43
| 23.285714
| 0.860927
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
c2d5dec0f501aa871088c645322c2b2355b634fa
| 12,594
|
py
|
Python
|
rustici_software_cloud_v2/__init__.py
|
RusticiSoftware/scormcloud-api-v2-client-python
|
04e2cce304a336caf492c3330c706840815c4abe
|
[
"Apache-2.0"
] | 2
|
2020-07-21T10:33:39.000Z
|
2021-08-17T21:40:13.000Z
|
rustici_software_cloud_v2/__init__.py
|
RusticiSoftware/scormcloud-api-v2-client-python
|
04e2cce304a336caf492c3330c706840815c4abe
|
[
"Apache-2.0"
] | 2
|
2020-10-22T20:58:19.000Z
|
2020-10-27T17:25:28.000Z
|
rustici_software_cloud_v2/__init__.py
|
RusticiSoftware/scormcloud-api-v2-client-python
|
04e2cce304a336caf492c3330c706840815c4abe
|
[
"Apache-2.0"
] | 1
|
2020-10-15T17:11:15.000Z
|
2020-10-15T17:11:15.000Z
|
# coding: utf-8
# flake8: noqa
"""
SCORM Cloud Rest API
REST API used for SCORM Cloud integrations. # noqa: E501
OpenAPI spec version: 2.0
Contact: systems@rusticisoftware.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
# import apis into sdk package
from rustici_software_cloud_v2.api.about_api import AboutApi
from rustici_software_cloud_v2.api.application_management_api import ApplicationManagementApi
from rustici_software_cloud_v2.api.authentication_api import AuthenticationApi
from rustici_software_cloud_v2.api.course_api import CourseApi
from rustici_software_cloud_v2.api.dispatch_api import DispatchApi
from rustici_software_cloud_v2.api.invitations_api import InvitationsApi
from rustici_software_cloud_v2.api.learner_api import LearnerApi
from rustici_software_cloud_v2.api.ping_api import PingApi
from rustici_software_cloud_v2.api.registration_api import RegistrationApi
from rustici_software_cloud_v2.api.reporting_api import ReportingApi
from rustici_software_cloud_v2.api.xapi_api import XapiApi
from rustici_software_cloud_v2.api.zoomi_api import ZoomiApi
# import ApiClient
from rustici_software_cloud_v2.api_client import ApiClient
from rustici_software_cloud_v2.configuration import Configuration
# import models into sdk package
from rustici_software_cloud_v2.models.about_schema import AboutSchema
from rustici_software_cloud_v2.models.activity_result_schema import ActivityResultSchema
from rustici_software_cloud_v2.models.application_info_schema import ApplicationInfoSchema
from rustici_software_cloud_v2.models.application_list_schema import ApplicationListSchema
from rustici_software_cloud_v2.models.application_request_schema import ApplicationRequestSchema
from rustici_software_cloud_v2.models.application_schema import ApplicationSchema
from rustici_software_cloud_v2.models.application_token import ApplicationToken
from rustici_software_cloud_v2.models.asset_file_schema import AssetFileSchema
from rustici_software_cloud_v2.models.batch_tags_schema import BatchTagsSchema
from rustici_software_cloud_v2.models.comment_schema import CommentSchema
from rustici_software_cloud_v2.models.completion_amount_schema import CompletionAmountSchema
from rustici_software_cloud_v2.models.course_activity_schema import CourseActivitySchema
from rustici_software_cloud_v2.models.course_list_non_paged_schema import CourseListNonPagedSchema
from rustici_software_cloud_v2.models.course_list_schema import CourseListSchema
from rustici_software_cloud_v2.models.course_reference_schema import CourseReferenceSchema
from rustici_software_cloud_v2.models.course_schema import CourseSchema
from rustici_software_cloud_v2.models.create_dispatch_id_schema import CreateDispatchIdSchema
from rustici_software_cloud_v2.models.create_dispatch_list_schema import CreateDispatchListSchema
from rustici_software_cloud_v2.models.create_dispatch_schema import CreateDispatchSchema
from rustici_software_cloud_v2.models.create_private_invitation_schema import CreatePrivateInvitationSchema
from rustici_software_cloud_v2.models.create_public_invitation_schema import CreatePublicInvitationSchema
from rustici_software_cloud_v2.models.create_registration_schema import CreateRegistrationSchema
from rustici_software_cloud_v2.models.credential_created_schema import CredentialCreatedSchema
from rustici_software_cloud_v2.models.credential_list_schema import CredentialListSchema
from rustici_software_cloud_v2.models.credential_request_schema import CredentialRequestSchema
from rustici_software_cloud_v2.models.credential_schema import CredentialSchema
from rustici_software_cloud_v2.models.destination_id_schema import DestinationIdSchema
from rustici_software_cloud_v2.models.destination_list_schema import DestinationListSchema
from rustici_software_cloud_v2.models.destination_schema import DestinationSchema
from rustici_software_cloud_v2.models.dispatch_id_schema import DispatchIdSchema
from rustici_software_cloud_v2.models.dispatch_list_schema import DispatchListSchema
from rustici_software_cloud_v2.models.dispatch_lti_info_schema import DispatchLtiInfoSchema
from rustici_software_cloud_v2.models.dispatch_registration_count_schema import DispatchRegistrationCountSchema
from rustici_software_cloud_v2.models.dispatch_schema import DispatchSchema
from rustici_software_cloud_v2.models.enabled_schema import EnabledSchema
from rustici_software_cloud_v2.models.file_list_item_schema import FileListItemSchema
from rustici_software_cloud_v2.models.file_list_schema import FileListSchema
from rustici_software_cloud_v2.models.import_asset_request_schema import ImportAssetRequestSchema
from rustici_software_cloud_v2.models.import_fetch_request_schema import ImportFetchRequestSchema
from rustici_software_cloud_v2.models.import_job_result_schema import ImportJobResultSchema
from rustici_software_cloud_v2.models.import_media_file_reference_request_schema import ImportMediaFileReferenceRequestSchema
from rustici_software_cloud_v2.models.import_request_schema import ImportRequestSchema
from rustici_software_cloud_v2.models.import_result_schema import ImportResultSchema
from rustici_software_cloud_v2.models.integer_result_schema import IntegerResultSchema
from rustici_software_cloud_v2.models.invitation_email_schema import InvitationEmailSchema
from rustici_software_cloud_v2.models.invitation_job_status_schema import InvitationJobStatusSchema
from rustici_software_cloud_v2.models.invitation_summary_list import InvitationSummaryList
from rustici_software_cloud_v2.models.invitation_summary_schema import InvitationSummarySchema
from rustici_software_cloud_v2.models.item_value_pair_schema import ItemValuePairSchema
from rustici_software_cloud_v2.models.launch_auth_options_schema import LaunchAuthOptionsSchema
from rustici_software_cloud_v2.models.launch_auth_schema import LaunchAuthSchema
from rustici_software_cloud_v2.models.launch_history_list_schema import LaunchHistoryListSchema
from rustici_software_cloud_v2.models.launch_history_schema import LaunchHistorySchema
from rustici_software_cloud_v2.models.launch_link_request_schema import LaunchLinkRequestSchema
from rustici_software_cloud_v2.models.launch_link_schema import LaunchLinkSchema
from rustici_software_cloud_v2.models.learner_preference_schema import LearnerPreferenceSchema
from rustici_software_cloud_v2.models.learner_schema import LearnerSchema
from rustici_software_cloud_v2.models.media_file_metadata_schema import MediaFileMetadataSchema
from rustici_software_cloud_v2.models.message_schema import MessageSchema
from rustici_software_cloud_v2.models.metadata_schema import MetadataSchema
from rustici_software_cloud_v2.models.objective_schema import ObjectiveSchema
from rustici_software_cloud_v2.models.permissions_schema import PermissionsSchema
from rustici_software_cloud_v2.models.ping_schema import PingSchema
from rustici_software_cloud_v2.models.post_back_schema import PostBackSchema
from rustici_software_cloud_v2.models.private_invitation_list import PrivateInvitationList
from rustici_software_cloud_v2.models.private_invitation_schema import PrivateInvitationSchema
from rustici_software_cloud_v2.models.private_invitation_update_schema import PrivateInvitationUpdateSchema
from rustici_software_cloud_v2.models.public_invitation_list import PublicInvitationList
from rustici_software_cloud_v2.models.public_invitation_schema import PublicInvitationSchema
from rustici_software_cloud_v2.models.public_invitation_update_schema import PublicInvitationUpdateSchema
from rustici_software_cloud_v2.models.registration_completion import RegistrationCompletion
from rustici_software_cloud_v2.models.registration_list_schema import RegistrationListSchema
from rustici_software_cloud_v2.models.registration_schema import RegistrationSchema
from rustici_software_cloud_v2.models.registration_success import RegistrationSuccess
from rustici_software_cloud_v2.models.reportage_account_info_schema import ReportageAccountInfoSchema
from rustici_software_cloud_v2.models.reportage_account_info_usage_schema import ReportageAccountInfoUsageSchema
from rustici_software_cloud_v2.models.reportage_auth_token_schema import ReportageAuthTokenSchema
from rustici_software_cloud_v2.models.reportage_link_schema import ReportageLinkSchema
from rustici_software_cloud_v2.models.response_error import ResponseError
from rustici_software_cloud_v2.models.runtime_interaction_schema import RuntimeInteractionSchema
from rustici_software_cloud_v2.models.runtime_objective_schema import RuntimeObjectiveSchema
from rustici_software_cloud_v2.models.runtime_schema import RuntimeSchema
from rustici_software_cloud_v2.models.score_schema import ScoreSchema
from rustici_software_cloud_v2.models.setting_item import SettingItem
from rustici_software_cloud_v2.models.setting_list_schema import SettingListSchema
from rustici_software_cloud_v2.models.setting_metadata import SettingMetadata
from rustici_software_cloud_v2.models.setting_valid_value import SettingValidValue
from rustici_software_cloud_v2.models.settings_individual_schema import SettingsIndividualSchema
from rustici_software_cloud_v2.models.settings_post_schema import SettingsPostSchema
from rustici_software_cloud_v2.models.shared_data_entry_schema import SharedDataEntrySchema
from rustici_software_cloud_v2.models.static_properties_schema import StaticPropertiesSchema
from rustici_software_cloud_v2.models.string_result_schema import StringResultSchema
from rustici_software_cloud_v2.models.tag_list_schema import TagListSchema
from rustici_software_cloud_v2.models.title_schema import TitleSchema
from rustici_software_cloud_v2.models.token_request_schema import TokenRequestSchema
from rustici_software_cloud_v2.models.update_application_schema import UpdateApplicationSchema
from rustici_software_cloud_v2.models.update_dispatch_schema import UpdateDispatchSchema
from rustici_software_cloud_v2.models.user_invitation_list import UserInvitationList
from rustici_software_cloud_v2.models.user_invitation_schema import UserInvitationSchema
from rustici_software_cloud_v2.models.user_invitation_schema_registration_report import UserInvitationSchemaRegistrationReport
from rustici_software_cloud_v2.models.xapi_account import XapiAccount
from rustici_software_cloud_v2.models.xapi_activity import XapiActivity
from rustici_software_cloud_v2.models.xapi_activity_definition import XapiActivityDefinition
from rustici_software_cloud_v2.models.xapi_agent_group import XapiAgentGroup
from rustici_software_cloud_v2.models.xapi_attachment import XapiAttachment
from rustici_software_cloud_v2.models.xapi_context import XapiContext
from rustici_software_cloud_v2.models.xapi_context_activity import XapiContextActivity
from rustici_software_cloud_v2.models.xapi_credential_auth_type_schema import XapiCredentialAuthTypeSchema
from rustici_software_cloud_v2.models.xapi_credential_permissions_level_schema import XapiCredentialPermissionsLevelSchema
from rustici_software_cloud_v2.models.xapi_credential_post_schema import XapiCredentialPostSchema
from rustici_software_cloud_v2.models.xapi_credential_put_schema import XapiCredentialPutSchema
from rustici_software_cloud_v2.models.xapi_credential_schema import XapiCredentialSchema
from rustici_software_cloud_v2.models.xapi_credentials_list_schema import XapiCredentialsListSchema
from rustici_software_cloud_v2.models.xapi_endpoint_schema import XapiEndpointSchema
from rustici_software_cloud_v2.models.xapi_interaction_component import XapiInteractionComponent
from rustici_software_cloud_v2.models.xapi_result import XapiResult
from rustici_software_cloud_v2.models.xapi_score import XapiScore
from rustici_software_cloud_v2.models.xapi_statement import XapiStatement
from rustici_software_cloud_v2.models.xapi_statement_pipe_list_schema import XapiStatementPipeListSchema
from rustici_software_cloud_v2.models.xapi_statement_pipe_post_schema import XapiStatementPipePostSchema
from rustici_software_cloud_v2.models.xapi_statement_pipe_put_schema import XapiStatementPipePutSchema
from rustici_software_cloud_v2.models.xapi_statement_pipe_schema import XapiStatementPipeSchema
from rustici_software_cloud_v2.models.xapi_statement_reference import XapiStatementReference
from rustici_software_cloud_v2.models.xapi_statement_result import XapiStatementResult
from rustici_software_cloud_v2.models.xapi_verb import XapiVerb
from rustici_software_cloud_v2.models.zoomi_company_id import ZoomiCompanyId
from rustici_software_cloud_v2.models.zoomi_course_options_schema import ZoomiCourseOptionsSchema
| 77.263804
| 126
| 0.92417
| 1,602
| 12,594
| 6.822722
| 0.177903
| 0.141903
| 0.245105
| 0.309607
| 0.510704
| 0.510704
| 0.413083
| 0.184629
| 0.036962
| 0
| 0
| 0.012384
| 0.051056
| 12,594
| 162
| 127
| 77.740741
| 0.902184
| 0.024853
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
c2e883e3847428fdc5c8147591b6213fc7714bc4
| 398
|
py
|
Python
|
kad/storage.py
|
RDCH106/pydht
|
7b64247427fcd9968f2dafc54e1dc6f7265f7dec
|
[
"BSD-2-Clause-FreeBSD"
] | 26
|
2015-05-16T21:59:15.000Z
|
2021-11-09T02:17:16.000Z
|
kad/storage.py
|
RDCH106/pydht
|
7b64247427fcd9968f2dafc54e1dc6f7265f7dec
|
[
"BSD-2-Clause-FreeBSD"
] | 7
|
2015-05-11T22:16:50.000Z
|
2017-12-29T16:50:10.000Z
|
kad/storage.py
|
RDCH106/pydht
|
7b64247427fcd9968f2dafc54e1dc6f7265f7dec
|
[
"BSD-2-Clause-FreeBSD"
] | 16
|
2015-09-10T07:40:28.000Z
|
2021-11-09T02:22:16.000Z
|
import shelve
def test ():
pass
class Shelve:
def __init__ (self, f):
self.shelve = shelve.open (f)
def dump (self):
for x in self.shelve:
print ('key:',x,'\t\tvalue:',self.shelve[x])
def __getitem__(self, key):
return self.shelve[str (key)]
def __setitem__(self, key, value):
self.shelve[str (key)] = value
def __contains__(self, key):
return str(key) in self.shelve
| 17.304348
| 47
| 0.655779
| 61
| 398
| 4.016393
| 0.393443
| 0.244898
| 0.097959
| 0.130612
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190955
| 398
| 22
| 48
| 18.090909
| 0.76087
| 0
| 0
| 0
| 0
| 0
| 0.035264
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.066667
| 0.066667
| 0.133333
| 0.666667
| 0.066667
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
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