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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74465e288ae568c87d8ee7da98f3d73b7dabf8da
| 22
|
py
|
Python
|
python.py
|
oguzcan710/mastering-git-august
|
b165333bdd96552d834350d95f7fd950e5844538
|
[
"Apache-2.0"
] | null | null | null |
python.py
|
oguzcan710/mastering-git-august
|
b165333bdd96552d834350d95f7fd950e5844538
|
[
"Apache-2.0"
] | null | null | null |
python.py
|
oguzcan710/mastering-git-august
|
b165333bdd96552d834350d95f7fd950e5844538
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/bin/python
| 11
| 21
| 0.681818
| 4
| 22
| 3.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 22
| 1
| 22
| 22
| 0.714286
| 0.909091
| 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
|
745efcdb285c929a84a0e99a3d292fa8280b80d9
| 20
|
py
|
Python
|
django_project/users/migrations/__init__.py
|
Manish-Sharma-1810/My-Django-Blog-App
|
9dc791bd11c9ff0e3eea21125dd127e8c2435e00
|
[
"MIT"
] | null | null | null |
django_project/users/migrations/__init__.py
|
Manish-Sharma-1810/My-Django-Blog-App
|
9dc791bd11c9ff0e3eea21125dd127e8c2435e00
|
[
"MIT"
] | null | null | null |
django_project/users/migrations/__init__.py
|
Manish-Sharma-1810/My-Django-Blog-App
|
9dc791bd11c9ff0e3eea21125dd127e8c2435e00
|
[
"MIT"
] | 1
|
2021-12-20T14:15:47.000Z
|
2021-12-20T14:15:47.000Z
|
# This file is empty
| 20
| 20
| 0.75
| 4
| 20
| 3.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 20
| 1
| 20
| 20
| 0.9375
| 0.9
| 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
|
778f781ff9cc65cbd0f42226b7afbf7f0c69cc2b
| 75
|
py
|
Python
|
oj/custom_settings.example.py
|
gogiluv/testrepo
|
55e4a905b70a460e74b8116a130b720821eaf2ce
|
[
"MIT"
] | 1
|
2018-01-28T07:48:13.000Z
|
2018-01-28T07:48:13.000Z
|
oj/custom_settings.example.py
|
OnlineJudgeNextGeneration/qduoj2
|
c4889d70850bd91ae7f662c02524d0555b6a3ce7
|
[
"MIT"
] | null | null | null |
oj/custom_settings.example.py
|
OnlineJudgeNextGeneration/qduoj2
|
c4889d70850bd91ae7f662c02524d0555b6a3ce7
|
[
"MIT"
] | 1
|
2020-09-29T14:21:27.000Z
|
2020-09-29T14:21:27.000Z
|
# please set your own SECRET_KEY to a long random string
# SECRET_KEY = ""
| 25
| 56
| 0.733333
| 13
| 75
| 4.076923
| 0.846154
| 0.339623
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 75
| 2
| 57
| 37.5
| 0.883333
| 0.933333
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 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
|
77986af2fb4a4ca5a35c228e734e2824ebae00e3
| 248
|
py
|
Python
|
object_oriented_programming/exercise_online_shopping/review.py
|
jepster/python_advanced_techniques
|
f4b0e0dda7b66be55f650f9f902e735d3f5a9f64
|
[
"MIT"
] | null | null | null |
object_oriented_programming/exercise_online_shopping/review.py
|
jepster/python_advanced_techniques
|
f4b0e0dda7b66be55f650f9f902e735d3f5a9f64
|
[
"MIT"
] | null | null | null |
object_oriented_programming/exercise_online_shopping/review.py
|
jepster/python_advanced_techniques
|
f4b0e0dda7b66be55f650f9f902e735d3f5a9f64
|
[
"MIT"
] | null | null | null |
class Review:
def __init__(self, content, user, product):
self.content = content
self.user = user
self.product = product
def __str__(self):
return f"Review of {self.product} by {self.user}: '{self.content}'"
| 31
| 75
| 0.616935
| 31
| 248
| 4.677419
| 0.419355
| 0.227586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.262097
| 248
| 8
| 75
| 31
| 0.79235
| 0
| 0
| 0
| 0
| 0
| 0.228916
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0.142857
| 0.571429
| 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
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
77d18b76003c4bfc898530ed0582298875b31542
| 29
|
py
|
Python
|
trader/trading/executioner.py
|
9600dev/mmr
|
b08e63b7044f2b2061d8679b216822c82d309c86
|
[
"Apache-2.0"
] | 12
|
2021-09-22T21:19:23.000Z
|
2022-01-03T21:38:47.000Z
|
trader/trading/executioner.py
|
webclinic017/mmr
|
9c385c027fcf8cf365e41726c7c5d2064f33c202
|
[
"Apache-2.0"
] | null | null | null |
trader/trading/executioner.py
|
webclinic017/mmr
|
9c385c027fcf8cf365e41726c7c5d2064f33c202
|
[
"Apache-2.0"
] | 3
|
2021-09-05T23:26:13.000Z
|
2022-03-25T01:01:22.000Z
|
class Executioner():
pass
| 14.5
| 20
| 0.689655
| 3
| 29
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.206897
| 29
| 2
| 21
| 14.5
| 0.869565
| 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
|
77e475b891c5acd960168cb4f57e50fe78d26b08
| 270
|
py
|
Python
|
distrib/tests_platane.py
|
BonJovi1/Bullet-the-Blue-Sky
|
9ebf41fc85ccf9f8e2880acdafc6dfffd8a0268f
|
[
"WTFPL"
] | 2
|
2019-10-13T02:56:35.000Z
|
2020-04-04T08:57:13.000Z
|
distrib/tests_platane.py
|
BonJovi1/Bullet-the-Blue-Sky
|
9ebf41fc85ccf9f8e2880acdafc6dfffd8a0268f
|
[
"WTFPL"
] | null | null | null |
distrib/tests_platane.py
|
BonJovi1/Bullet-the-Blue-Sky
|
9ebf41fc85ccf9f8e2880acdafc6dfffd8a0268f
|
[
"WTFPL"
] | null | null | null |
from utils import *
Clean()
HgUpdate21()
PatchAll()
Build_VC11Express_64()
OptimusForceIntel()
RunAll()
OptimusForceNVIDIA()
RunAll()
Clean()
HgUpdate33()
PatchAll()
Build_VC11Express_64()
OptimusForceNVIDIA()
RunAll()
Clean()
HgUpdate33()
| 11.25
| 23
| 0.692593
| 23
| 270
| 7.956522
| 0.565217
| 0.142077
| 0.262295
| 0.284153
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063636
| 0.185185
| 270
| 23
| 24
| 11.73913
| 0.768182
| 0
| 0
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.058824
| 0
| 0.058824
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
77f8db530c6e11a50fc91ef02feb1663a2228e2e
| 25
|
py
|
Python
|
utokenize/testdata/func_varargs.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 126
|
2019-07-19T14:42:41.000Z
|
2022-03-21T22:22:19.000Z
|
utokenize/testdata/func_varargs.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 38
|
2019-08-28T01:46:31.000Z
|
2022-03-17T05:46:51.000Z
|
utokenize/testdata/func_varargs.py
|
MaxTurchin/pycopy-lib
|
d7a69fc2a28031e2ca475c29239f715c1809d8cc
|
[
"PSF-2.0"
] | 55
|
2019-08-02T09:32:33.000Z
|
2021-12-22T11:25:51.000Z
|
def foo(a, *b):
pass
| 8.333333
| 15
| 0.48
| 5
| 25
| 2.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.32
| 25
| 2
| 16
| 12.5
| 0.705882
| 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
|
7ad6399647944ee35628a46c260ef1d398254324
| 81
|
py
|
Python
|
src/polytropon/__init__.py
|
xhlulu/polytropon
|
fd4df35a479f17ca1e3f568d96a95c1b8b5b518f
|
[
"MIT"
] | 14
|
2022-03-02T10:25:22.000Z
|
2022-03-13T01:22:08.000Z
|
src/polytropon/__init__.py
|
xhlulu/polytropon
|
fd4df35a479f17ca1e3f568d96a95c1b8b5b518f
|
[
"MIT"
] | 2
|
2022-03-02T15:56:37.000Z
|
2022-03-29T17:40:34.000Z
|
src/polytropon/__init__.py
|
xhlulu/polytropon
|
fd4df35a479f17ca1e3f568d96a95c1b8b5b518f
|
[
"MIT"
] | 2
|
2022-03-02T15:59:47.000Z
|
2022-03-03T01:14:45.000Z
|
from . import adapters, utils
from .polytropon import VARIANT2CLASS, SkilledMixin
| 40.5
| 51
| 0.839506
| 9
| 81
| 7.555556
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013889
| 0.111111
| 81
| 2
| 51
| 40.5
| 0.930556
| 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
|
7ade72c37577df6464ca8dc5d4f8c8a62f6533b2
| 246
|
py
|
Python
|
ndn_python_repo/handle/__init__.py
|
susmit85/ndn-python-repo
|
45a76bd3e78b0157e364413d62d3aaa51cd20353
|
[
"Apache-2.0"
] | 5
|
2020-03-23T01:32:12.000Z
|
2020-10-03T14:36:19.000Z
|
ndn_python_repo/handle/__init__.py
|
susmit85/ndn-python-repo
|
45a76bd3e78b0157e364413d62d3aaa51cd20353
|
[
"Apache-2.0"
] | 48
|
2020-01-24T04:29:14.000Z
|
2020-12-11T09:08:50.000Z
|
ndn_python_repo/handle/__init__.py
|
susmit85/ndn-python-repo
|
45a76bd3e78b0157e364413d62d3aaa51cd20353
|
[
"Apache-2.0"
] | 6
|
2020-02-20T00:05:33.000Z
|
2020-11-27T05:27:14.000Z
|
from .read_handle import ReadHandle
from .command_handle_base import CommandHandle
from .write_command_handle import WriteCommandHandle
from .delete_command_handle import DeleteCommandHandle
from .tcp_bulk_insert_handle import TcpBulkInsertHandle
| 49.2
| 55
| 0.902439
| 30
| 246
| 7.066667
| 0.533333
| 0.226415
| 0.179245
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077236
| 246
| 5
| 55
| 49.2
| 0.933921
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
7ae87b35274b2c9c47cbad11cf4cc8f53a9dfec9
| 9,371
|
py
|
Python
|
microbenchmarks/sort2_20.py
|
jmgc/pyston
|
9f672c1bbb75710ac17dd3d9107da05c8e9e8e8f
|
[
"BSD-2-Clause",
"Apache-2.0"
] | 1
|
2020-02-06T14:28:45.000Z
|
2020-02-06T14:28:45.000Z
|
microbenchmarks/sort2_20.py
|
jmgc/pyston
|
9f672c1bbb75710ac17dd3d9107da05c8e9e8e8f
|
[
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null |
microbenchmarks/sort2_20.py
|
jmgc/pyston
|
9f672c1bbb75710ac17dd3d9107da05c8e9e8e8f
|
[
"BSD-2-Clause",
"Apache-2.0"
] | 1
|
2020-02-06T14:29:00.000Z
|
2020-02-06T14:29:00.000Z
|
def f(l):
if l[0] > l[1]: l[0], l[1] = l[1], l[0]
if l[0] > l[2]: l[0], l[2] = l[2], l[0]
if l[0] > l[3]: l[0], l[3] = l[3], l[0]
if l[0] > l[4]: l[0], l[4] = l[4], l[0]
if l[0] > l[5]: l[0], l[5] = l[5], l[0]
if l[0] > l[6]: l[0], l[6] = l[6], l[0]
if l[0] > l[7]: l[0], l[7] = l[7], l[0]
if l[0] > l[8]: l[0], l[8] = l[8], l[0]
if l[0] > l[9]: l[0], l[9] = l[9], l[0]
if l[0] > l[10]: l[0], l[10] = l[10], l[0]
if l[0] > l[11]: l[0], l[11] = l[11], l[0]
if l[0] > l[12]: l[0], l[12] = l[12], l[0]
if l[0] > l[13]: l[0], l[13] = l[13], l[0]
if l[0] > l[14]: l[0], l[14] = l[14], l[0]
if l[0] > l[15]: l[0], l[15] = l[15], l[0]
if l[0] > l[16]: l[0], l[16] = l[16], l[0]
if l[0] > l[17]: l[0], l[17] = l[17], l[0]
if l[0] > l[18]: l[0], l[18] = l[18], l[0]
if l[0] > l[19]: l[0], l[19] = l[19], l[0]
if l[1] > l[2]: l[1], l[2] = l[2], l[1]
if l[1] > l[3]: l[1], l[3] = l[3], l[1]
if l[1] > l[4]: l[1], l[4] = l[4], l[1]
if l[1] > l[5]: l[1], l[5] = l[5], l[1]
if l[1] > l[6]: l[1], l[6] = l[6], l[1]
if l[1] > l[7]: l[1], l[7] = l[7], l[1]
if l[1] > l[8]: l[1], l[8] = l[8], l[1]
if l[1] > l[9]: l[1], l[9] = l[9], l[1]
if l[1] > l[10]: l[1], l[10] = l[10], l[1]
if l[1] > l[11]: l[1], l[11] = l[11], l[1]
if l[1] > l[12]: l[1], l[12] = l[12], l[1]
if l[1] > l[13]: l[1], l[13] = l[13], l[1]
if l[1] > l[14]: l[1], l[14] = l[14], l[1]
if l[1] > l[15]: l[1], l[15] = l[15], l[1]
if l[1] > l[16]: l[1], l[16] = l[16], l[1]
if l[1] > l[17]: l[1], l[17] = l[17], l[1]
if l[1] > l[18]: l[1], l[18] = l[18], l[1]
if l[1] > l[19]: l[1], l[19] = l[19], l[1]
if l[2] > l[3]: l[2], l[3] = l[3], l[2]
if l[2] > l[4]: l[2], l[4] = l[4], l[2]
if l[2] > l[5]: l[2], l[5] = l[5], l[2]
if l[2] > l[6]: l[2], l[6] = l[6], l[2]
if l[2] > l[7]: l[2], l[7] = l[7], l[2]
if l[2] > l[8]: l[2], l[8] = l[8], l[2]
if l[2] > l[9]: l[2], l[9] = l[9], l[2]
if l[2] > l[10]: l[2], l[10] = l[10], l[2]
if l[2] > l[11]: l[2], l[11] = l[11], l[2]
if l[2] > l[12]: l[2], l[12] = l[12], l[2]
if l[2] > l[13]: l[2], l[13] = l[13], l[2]
if l[2] > l[14]: l[2], l[14] = l[14], l[2]
if l[2] > l[15]: l[2], l[15] = l[15], l[2]
if l[2] > l[16]: l[2], l[16] = l[16], l[2]
if l[2] > l[17]: l[2], l[17] = l[17], l[2]
if l[2] > l[18]: l[2], l[18] = l[18], l[2]
if l[2] > l[19]: l[2], l[19] = l[19], l[2]
if l[3] > l[4]: l[3], l[4] = l[4], l[3]
if l[3] > l[5]: l[3], l[5] = l[5], l[3]
if l[3] > l[6]: l[3], l[6] = l[6], l[3]
if l[3] > l[7]: l[3], l[7] = l[7], l[3]
if l[3] > l[8]: l[3], l[8] = l[8], l[3]
if l[3] > l[9]: l[3], l[9] = l[9], l[3]
if l[3] > l[10]: l[3], l[10] = l[10], l[3]
if l[3] > l[11]: l[3], l[11] = l[11], l[3]
if l[3] > l[12]: l[3], l[12] = l[12], l[3]
if l[3] > l[13]: l[3], l[13] = l[13], l[3]
if l[3] > l[14]: l[3], l[14] = l[14], l[3]
if l[3] > l[15]: l[3], l[15] = l[15], l[3]
if l[3] > l[16]: l[3], l[16] = l[16], l[3]
if l[3] > l[17]: l[3], l[17] = l[17], l[3]
if l[3] > l[18]: l[3], l[18] = l[18], l[3]
if l[3] > l[19]: l[3], l[19] = l[19], l[3]
if l[4] > l[5]: l[4], l[5] = l[5], l[4]
if l[4] > l[6]: l[4], l[6] = l[6], l[4]
if l[4] > l[7]: l[4], l[7] = l[7], l[4]
if l[4] > l[8]: l[4], l[8] = l[8], l[4]
if l[4] > l[9]: l[4], l[9] = l[9], l[4]
if l[4] > l[10]: l[4], l[10] = l[10], l[4]
if l[4] > l[11]: l[4], l[11] = l[11], l[4]
if l[4] > l[12]: l[4], l[12] = l[12], l[4]
if l[4] > l[13]: l[4], l[13] = l[13], l[4]
if l[4] > l[14]: l[4], l[14] = l[14], l[4]
if l[4] > l[15]: l[4], l[15] = l[15], l[4]
if l[4] > l[16]: l[4], l[16] = l[16], l[4]
if l[4] > l[17]: l[4], l[17] = l[17], l[4]
if l[4] > l[18]: l[4], l[18] = l[18], l[4]
if l[4] > l[19]: l[4], l[19] = l[19], l[4]
if l[5] > l[6]: l[5], l[6] = l[6], l[5]
if l[5] > l[7]: l[5], l[7] = l[7], l[5]
if l[5] > l[8]: l[5], l[8] = l[8], l[5]
if l[5] > l[9]: l[5], l[9] = l[9], l[5]
if l[5] > l[10]: l[5], l[10] = l[10], l[5]
if l[5] > l[11]: l[5], l[11] = l[11], l[5]
if l[5] > l[12]: l[5], l[12] = l[12], l[5]
if l[5] > l[13]: l[5], l[13] = l[13], l[5]
if l[5] > l[14]: l[5], l[14] = l[14], l[5]
if l[5] > l[15]: l[5], l[15] = l[15], l[5]
if l[5] > l[16]: l[5], l[16] = l[16], l[5]
if l[5] > l[17]: l[5], l[17] = l[17], l[5]
if l[5] > l[18]: l[5], l[18] = l[18], l[5]
if l[5] > l[19]: l[5], l[19] = l[19], l[5]
if l[6] > l[7]: l[6], l[7] = l[7], l[6]
if l[6] > l[8]: l[6], l[8] = l[8], l[6]
if l[6] > l[9]: l[6], l[9] = l[9], l[6]
if l[6] > l[10]: l[6], l[10] = l[10], l[6]
if l[6] > l[11]: l[6], l[11] = l[11], l[6]
if l[6] > l[12]: l[6], l[12] = l[12], l[6]
if l[6] > l[13]: l[6], l[13] = l[13], l[6]
if l[6] > l[14]: l[6], l[14] = l[14], l[6]
if l[6] > l[15]: l[6], l[15] = l[15], l[6]
if l[6] > l[16]: l[6], l[16] = l[16], l[6]
if l[6] > l[17]: l[6], l[17] = l[17], l[6]
if l[6] > l[18]: l[6], l[18] = l[18], l[6]
if l[6] > l[19]: l[6], l[19] = l[19], l[6]
if l[7] > l[8]: l[7], l[8] = l[8], l[7]
if l[7] > l[9]: l[7], l[9] = l[9], l[7]
if l[7] > l[10]: l[7], l[10] = l[10], l[7]
if l[7] > l[11]: l[7], l[11] = l[11], l[7]
if l[7] > l[12]: l[7], l[12] = l[12], l[7]
if l[7] > l[13]: l[7], l[13] = l[13], l[7]
if l[7] > l[14]: l[7], l[14] = l[14], l[7]
if l[7] > l[15]: l[7], l[15] = l[15], l[7]
if l[7] > l[16]: l[7], l[16] = l[16], l[7]
if l[7] > l[17]: l[7], l[17] = l[17], l[7]
if l[7] > l[18]: l[7], l[18] = l[18], l[7]
if l[7] > l[19]: l[7], l[19] = l[19], l[7]
if l[8] > l[9]: l[8], l[9] = l[9], l[8]
if l[8] > l[10]: l[8], l[10] = l[10], l[8]
if l[8] > l[11]: l[8], l[11] = l[11], l[8]
if l[8] > l[12]: l[8], l[12] = l[12], l[8]
if l[8] > l[13]: l[8], l[13] = l[13], l[8]
if l[8] > l[14]: l[8], l[14] = l[14], l[8]
if l[8] > l[15]: l[8], l[15] = l[15], l[8]
if l[8] > l[16]: l[8], l[16] = l[16], l[8]
if l[8] > l[17]: l[8], l[17] = l[17], l[8]
if l[8] > l[18]: l[8], l[18] = l[18], l[8]
if l[8] > l[19]: l[8], l[19] = l[19], l[8]
if l[9] > l[10]: l[9], l[10] = l[10], l[9]
if l[9] > l[11]: l[9], l[11] = l[11], l[9]
if l[9] > l[12]: l[9], l[12] = l[12], l[9]
if l[9] > l[13]: l[9], l[13] = l[13], l[9]
if l[9] > l[14]: l[9], l[14] = l[14], l[9]
if l[9] > l[15]: l[9], l[15] = l[15], l[9]
if l[9] > l[16]: l[9], l[16] = l[16], l[9]
if l[9] > l[17]: l[9], l[17] = l[17], l[9]
if l[9] > l[18]: l[9], l[18] = l[18], l[9]
if l[9] > l[19]: l[9], l[19] = l[19], l[9]
if l[10] > l[11]: l[10], l[11] = l[11], l[10]
if l[10] > l[12]: l[10], l[12] = l[12], l[10]
if l[10] > l[13]: l[10], l[13] = l[13], l[10]
if l[10] > l[14]: l[10], l[14] = l[14], l[10]
if l[10] > l[15]: l[10], l[15] = l[15], l[10]
if l[10] > l[16]: l[10], l[16] = l[16], l[10]
if l[10] > l[17]: l[10], l[17] = l[17], l[10]
if l[10] > l[18]: l[10], l[18] = l[18], l[10]
if l[10] > l[19]: l[10], l[19] = l[19], l[10]
if l[11] > l[12]: l[11], l[12] = l[12], l[11]
if l[11] > l[13]: l[11], l[13] = l[13], l[11]
if l[11] > l[14]: l[11], l[14] = l[14], l[11]
if l[11] > l[15]: l[11], l[15] = l[15], l[11]
if l[11] > l[16]: l[11], l[16] = l[16], l[11]
if l[11] > l[17]: l[11], l[17] = l[17], l[11]
if l[11] > l[18]: l[11], l[18] = l[18], l[11]
if l[11] > l[19]: l[11], l[19] = l[19], l[11]
if l[12] > l[13]: l[12], l[13] = l[13], l[12]
if l[12] > l[14]: l[12], l[14] = l[14], l[12]
if l[12] > l[15]: l[12], l[15] = l[15], l[12]
if l[12] > l[16]: l[12], l[16] = l[16], l[12]
if l[12] > l[17]: l[12], l[17] = l[17], l[12]
if l[12] > l[18]: l[12], l[18] = l[18], l[12]
if l[12] > l[19]: l[12], l[19] = l[19], l[12]
if l[13] > l[14]: l[13], l[14] = l[14], l[13]
if l[13] > l[15]: l[13], l[15] = l[15], l[13]
if l[13] > l[16]: l[13], l[16] = l[16], l[13]
if l[13] > l[17]: l[13], l[17] = l[17], l[13]
if l[13] > l[18]: l[13], l[18] = l[18], l[13]
if l[13] > l[19]: l[13], l[19] = l[19], l[13]
if l[14] > l[15]: l[14], l[15] = l[15], l[14]
if l[14] > l[16]: l[14], l[16] = l[16], l[14]
if l[14] > l[17]: l[14], l[17] = l[17], l[14]
if l[14] > l[18]: l[14], l[18] = l[18], l[14]
if l[14] > l[19]: l[14], l[19] = l[19], l[14]
if l[15] > l[16]: l[15], l[16] = l[16], l[15]
if l[15] > l[17]: l[15], l[17] = l[17], l[15]
if l[15] > l[18]: l[15], l[18] = l[18], l[15]
if l[15] > l[19]: l[15], l[19] = l[19], l[15]
if l[16] > l[17]: l[16], l[17] = l[17], l[16]
if l[16] > l[18]: l[16], l[18] = l[18], l[16]
if l[16] > l[19]: l[16], l[19] = l[19], l[16]
if l[17] > l[18]: l[17], l[18] = l[18], l[17]
if l[17] > l[19]: l[17], l[19] = l[19], l[17]
if l[18] > l[19]: l[18], l[19] = l[19], l[18]
return l
print f([3, 12, 16, 8, 17, 6, 13, 0, 4, 15, 1, 14, 11, 18, 10, 5, 9, 7, 2, 19])
print f([2, 6, 11, 4, 7, 18, 19, 10, 15, 13, 3, 0, 17, 5, 8, 1, 14, 9, 16, 12])
print f([6, 12, 10, 7, 19, 15, 14, 5, 16, 1, 4, 11, 13, 2, 18, 9, 0, 3, 17, 8])
print f([1, 17, 13, 8, 9, 19, 18, 6, 5, 10, 12, 14, 2, 15, 0, 4, 11, 16, 7, 3])
print f([4, 7, 8, 6, 16, 10, 0, 5, 1, 3, 19, 2, 15, 12, 17, 11, 13, 18, 14, 9])
print f([14, 16, 11, 12, 5, 0, 10, 3, 1, 8, 17, 13, 4, 19, 9, 15, 6, 2, 7, 18])
print f([0, 3, 14, 9, 19, 13, 1, 7, 4, 17, 8, 16, 10, 5, 12, 6, 15, 11, 2, 18])
print f([17, 19, 3, 13, 15, 6, 16, 4, 0, 18, 8, 1, 9, 11, 2, 12, 7, 10, 5, 14])
print f([19, 5, 15, 1, 8, 2, 3, 12, 6, 14, 17, 7, 13, 10, 4, 18, 11, 9, 16, 0])
print f([13, 10, 11, 17, 19, 12, 14, 7, 5, 9, 2, 4, 18, 8, 6, 3, 16, 15, 0, 1])
| 46.162562
| 79
| 0.384377
| 2,695
| 9,371
| 1.336549
| 0.009648
| 0.158245
| 0.063298
| 0.026374
| 0.877013
| 0.349806
| 0
| 0
| 0
| 0
| 0
| 0.284501
| 0.246078
| 9,371
| 202
| 80
| 46.391089
| 0.225336
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.049505
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
bb06b45e3723a9ef4facef11872ccca58b2eadb8
| 184
|
py
|
Python
|
applications/ip2country/models/db_iptable.py
|
blazejkocon/csc438
|
b06555a965d914ea599d3e6fc85780168486d90c
|
[
"BSD-3-Clause"
] | null | null | null |
applications/ip2country/models/db_iptable.py
|
blazejkocon/csc438
|
b06555a965d914ea599d3e6fc85780168486d90c
|
[
"BSD-3-Clause"
] | null | null | null |
applications/ip2country/models/db_iptable.py
|
blazejkocon/csc438
|
b06555a965d914ea599d3e6fc85780168486d90c
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
db.define_table('ip2nation',
Field('code',type='integer', requires=IS_NOT_EMPTY()),
Field('country', requires= IS_NOT_EMPTY()))
| 36.8
| 70
| 0.570652
| 21
| 184
| 4.761905
| 0.761905
| 0.2
| 0.26
| 0.36
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014184
| 0.233696
| 184
| 4
| 71
| 46
| 0.695035
| 0.11413
| 0
| 0
| 0
| 0
| 0.167702
| 0
| 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
|
bb153760d668539261a0d33707c85c1e1d93f62e
| 191
|
py
|
Python
|
PEPit/tools/__init__.py
|
bgoujaud/PEPit
|
7352607069f5e90fb1919fc689ec5e9d745c3bac
|
[
"MIT"
] | 44
|
2021-11-18T16:41:20.000Z
|
2022-02-14T09:59:13.000Z
|
PEPit/tools/__init__.py
|
bgoujaud/PEPit
|
7352607069f5e90fb1919fc689ec5e9d745c3bac
|
[
"MIT"
] | 2
|
2021-10-05T09:20:25.000Z
|
2022-02-19T13:58:01.000Z
|
PEPit/tools/__init__.py
|
PerformanceEstimation/PEPit
|
7005bc9a9da11dea448966437365c897734ec341
|
[
"MIT"
] | 1
|
2022-02-08T12:03:29.000Z
|
2022-02-08T12:03:29.000Z
|
from .dict_operations import merge_dict, prune_dict, multiply_dicts
__all__ = ['dict_operations',
'merge_dict',
'prune_dict',
'multiply_dicts',
]
| 23.875
| 67
| 0.602094
| 19
| 191
| 5.421053
| 0.473684
| 0.271845
| 0.271845
| 0.349515
| 0.601942
| 0.601942
| 0
| 0
| 0
| 0
| 0
| 0
| 0.303665
| 191
| 7
| 68
| 27.285714
| 0.774436
| 0
| 0
| 0
| 0
| 0
| 0.256545
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 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
|
bb5494d212a707197321c71bdad0900003edabec
| 1,201
|
py
|
Python
|
sample_synth02/make_config.py
|
clinfo/DeepKF
|
ee4f1be28e5f3bfa46bb47dbdc4d5f678eed36c1
|
[
"MIT"
] | 5
|
2019-12-19T13:33:36.000Z
|
2021-06-01T06:08:16.000Z
|
sample_synth02/make_config.py
|
clinfo/DeepKF
|
ee4f1be28e5f3bfa46bb47dbdc4d5f678eed36c1
|
[
"MIT"
] | 24
|
2020-03-03T19:40:55.000Z
|
2021-05-26T15:27:38.000Z
|
sample_synth02/make_config.py
|
clinfo/DeepKF
|
ee4f1be28e5f3bfa46bb47dbdc4d5f678eed36c1
|
[
"MIT"
] | 1
|
2019-12-19T13:35:07.000Z
|
2019-12-19T13:35:07.000Z
|
import numpy as np
import os
import json
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
os.makedirs("data",exist_ok=True)
np.random.seed(10)
filename="config_base.json"
o=json.load(open(filename))
print(o)
for j in range(10):
i=j+1
o['data_train_npy']='data/data_train.n'+str(i)+'.npy'
o['data_test_npy']='data/data_test.n'+str(i)+'.npy'
path="experiments/result_base_"+str(i)+"/"
o["result_path"]=path
os.makedirs(path,exist_ok=True)
cfg_path="experiments/config/"
os.makedirs(cfg_path,exist_ok=True)
filename=cfg_path+"/config_base"+str(i)+".json"
print(filename)
f = open(filename, "w")
json.dump(o, f)
filename="config_pot.json"
o=json.load(open(filename))
print(o)
for j in range(10):
i=j+1
o['data_train_npy']='data/data_train.n'+str(i)+'.npy'
o['data_test_npy']='data/data_test.n'+str(i)+'.npy'
path="experiments/result_pot_"+str(i)+"/"
o["result_path"]=path
os.makedirs(path,exist_ok=True)
cfg_path="experiments/config/"
os.makedirs(cfg_path,exist_ok=True)
filename=cfg_path+"/config_pot"+str(i)+".json"
print(filename)
f = open(filename, "w")
json.dump(o, f)
| 25.020833
| 57
| 0.673605
| 201
| 1,201
| 3.860697
| 0.228856
| 0.041237
| 0.070876
| 0.041237
| 0.762887
| 0.762887
| 0.762887
| 0.762887
| 0.762887
| 0.762887
| 0
| 0.007744
| 0.139883
| 1,201
| 47
| 58
| 25.553191
| 0.743466
| 0
| 0
| 0.65
| 0
| 0
| 0.265221
| 0.039199
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0.1
| 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
|
24a317b44d00bea805342c6410ef02acf942e1c0
| 2,949
|
py
|
Python
|
app/tests/v1/test_meetups.py
|
mr-pagani/ADC-Questioner-API
|
e54f1cb8147d14f3e357c24dc2af2382f60bd1a4
|
[
"Unlicense"
] | null | null | null |
app/tests/v1/test_meetups.py
|
mr-pagani/ADC-Questioner-API
|
e54f1cb8147d14f3e357c24dc2af2382f60bd1a4
|
[
"Unlicense"
] | 1
|
2019-01-15T14:42:36.000Z
|
2019-01-15T14:42:36.000Z
|
app/tests/v1/test_meetups.py
|
mr-pagani/ADC-Questioner-API
|
e54f1cb8147d14f3e357c24dc2af2382f60bd1a4
|
[
"Unlicense"
] | null | null | null |
import json
from .base_test import BaseTestCase
class TestMeetups(BaseTestCase):
def test_post_meetups(self):
with self.client:
response = self.client.post(
'api/v1/meetups', data=json.dumps(dict(
meetup_id=2,
createdOn='12 SEP 2019',
location='nairobi',
images='img.url',
topic='interesting topic',
happeningOn='15 SEP 2019',
tags='INTERESTING'
)),
content_type='application/json'
)
self.assertEqual(response.status_code, 201)
def test_view_meetups(self):
with self.client:
response = self.client.get('/api/v1/meetups')
x = json.loads(response.data)
self.assertEqual(response.status_code, 404)
self.assertEqual("meetups not found", x["message"])
def test_get_meetup_by_id(self):
with self.client:
response = self.client.get('/api/v1/meetups/3')
x = json.loads(response.data)
self.assertEqual(response.status_code, 404)
self.assertEqual("Meetup with the given id not found", x["error"])
def test_view_upcoming_meetups(self):
with self.client:
response = self.client.get('/api/v1/meetups/3')
x = json.loads(response.data)
self.assertEqual(response.status_code, 404)
self.assertEqual("Meetup with the given id not found", x["error"])
def test_delete_meetup(self):
with self.client:
self.client.post(
'api/v1/meetups', data=json.dumps(dict(
meetup_id=2,
createdOn='12 SEP 2019',
location='nairobi',
images='img.url',
topic='interesting topic',
happeningOn='15 SEP 2019',
tags='INTERESTING'
)),
content_type='application/json'
)
response = self.client.delete('/api/v1/meetups/3')
res1 = json.loads(response.data)
self.assertEqual(response.status_code, 404)
self.assertEqual("Meetup with the id provided was not found", res1["error"])
response2 = self.client.delete('/api/v1/meetups/2')
res = json.loads(response2.data)
self.assertEqual(response2.status_code, 200)
self.assertEqual("delete successful", res["message"])
def test_create_rsvp(self):
with self.client:
response = self.client.post('api/v1/meetups/3/rsvps', data=json.dumps(dict(
id= 13,
meetup= 1,
user= 1,
response= 'maybe'
)), content_type='application/json')
self.assertEqual(response.status_code, 201)
| 37.329114
| 88
| 0.535775
| 310
| 2,949
| 5.006452
| 0.235484
| 0.090206
| 0.061856
| 0.069588
| 0.742268
| 0.742268
| 0.706186
| 0.706186
| 0.701675
| 0.701675
| 0
| 0.036259
| 0.354697
| 2,949
| 78
| 89
| 37.807692
| 0.779296
| 0
| 0
| 0.58209
| 0
| 0
| 0.164802
| 0.00746
| 0
| 0
| 0
| 0
| 0.179104
| 1
| 0.089552
| false
| 0
| 0.029851
| 0
| 0.134328
| 0
| 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
|
24a953522fba9a89dc6593417b426e4fb1e7cd77
| 197
|
py
|
Python
|
Logic-2/no_teen_sum.py
|
VivekM27/Coding-Bat-Python-Solutions
|
14d5c6ccaa2129e56a5898374dec60740fe6761b
|
[
"Apache-2.0"
] | null | null | null |
Logic-2/no_teen_sum.py
|
VivekM27/Coding-Bat-Python-Solutions
|
14d5c6ccaa2129e56a5898374dec60740fe6761b
|
[
"Apache-2.0"
] | null | null | null |
Logic-2/no_teen_sum.py
|
VivekM27/Coding-Bat-Python-Solutions
|
14d5c6ccaa2129e56a5898374dec60740fe6761b
|
[
"Apache-2.0"
] | null | null | null |
# NO_TEEN_SUM
def no_teen_sum(a, b, c):
return fix_teen(a) + fix_teen(b) + fix_teen(c)
def fix_teen(n):
if (n == 15 or n == 16) or n<13 or n>19: return n
elif n>12 and n<20: return 0
| 28.142857
| 52
| 0.609137
| 46
| 197
| 2.434783
| 0.456522
| 0.25
| 0.160714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087248
| 0.243655
| 197
| 7
| 53
| 28.142857
| 0.66443
| 0.055838
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.6
| 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
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
24ce2bb821f0dd87e038601fa86a71421eb013fd
| 241
|
py
|
Python
|
askanna/core/exceptions.py
|
askanna-io/askanna-python
|
b6a1dec3b9911888f3d769cef46ce8c2d5cb0dfe
|
[
"Apache-2.0"
] | 1
|
2021-02-22T15:53:47.000Z
|
2021-02-22T15:53:47.000Z
|
askanna/core/exceptions.py
|
askanna-io/askanna-python
|
b6a1dec3b9911888f3d769cef46ce8c2d5cb0dfe
|
[
"Apache-2.0"
] | null | null | null |
askanna/core/exceptions.py
|
askanna-io/askanna-python
|
b6a1dec3b9911888f3d769cef46ce8c2d5cb0dfe
|
[
"Apache-2.0"
] | null | null | null |
class Error(Exception):
pass
class GetError(Error):
pass
class HeadError(Error):
pass
class PostError(Error):
pass
class PatchError(Error):
pass
class PutError(Error):
pass
class RunError(Error):
pass
| 8.925926
| 24
| 0.659751
| 28
| 241
| 5.678571
| 0.357143
| 0.339623
| 0.440252
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.253112
| 241
| 26
| 25
| 9.269231
| 0.883333
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 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
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
7022f0ca1aa21cce0352584f798c251857a2f29c
| 1,110
|
py
|
Python
|
guniflask/web/__init__.py
|
jadbin/guniflask
|
36253a962c056abf34884263c6919b02b921ad9c
|
[
"MIT"
] | 12
|
2018-09-06T06:14:59.000Z
|
2021-04-18T06:30:44.000Z
|
guniflask/web/__init__.py
|
jadbin/guniflask
|
36253a962c056abf34884263c6919b02b921ad9c
|
[
"MIT"
] | null | null | null |
guniflask/web/__init__.py
|
jadbin/guniflask
|
36253a962c056abf34884263c6919b02b921ad9c
|
[
"MIT"
] | 2
|
2019-09-08T22:01:26.000Z
|
2020-08-03T07:23:29.000Z
|
from .bind_annotation import blueprint
from .bind_annotation import delete_route
from .bind_annotation import get_route
from .bind_annotation import head_route
from .bind_annotation import patch_route
from .bind_annotation import post_route
from .bind_annotation import put_route
from .bind_annotation import route
from .context import WebApplicationContext
from .cors import CorsFilter
from .errors import RequestValidationError
from .filter_annotation import after_request
from .filter_annotation import app_after_request
from .filter_annotation import app_before_request
from .filter_annotation import app_error_handler
from .filter_annotation import before_request
from .filter_annotation import error_handler
from .request_annotation import CookieValue
from .request_annotation import FilePart
from .request_annotation import FormValue
from .request_annotation import PathVariable
from .request_annotation import RequestBody
from .request_annotation import RequestHeader
from .request_annotation import RequestParam
from .request_filter import RequestFilter
from .request_filter import RequestFilterChain
| 41.111111
| 49
| 0.882883
| 142
| 1,110
| 6.633803
| 0.239437
| 0.356688
| 0.152866
| 0.203822
| 0.357749
| 0.173036
| 0.087049
| 0
| 0
| 0
| 0
| 0
| 0.093694
| 1,110
| 26
| 50
| 42.692308
| 0.936382
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.038462
| 0
| 0
| 0
| null | 1
| 0
| 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
|
7074f909c5703484cedced7916b80fe2527f9870
| 118
|
py
|
Python
|
src/GUM_Dispenser/__init__.py
|
jrdnfike/GUM_Dispenser
|
b2655339445af4b1fb328676e2ec9f239dcd6bfc
|
[
"MIT"
] | null | null | null |
src/GUM_Dispenser/__init__.py
|
jrdnfike/GUM_Dispenser
|
b2655339445af4b1fb328676e2ec9f239dcd6bfc
|
[
"MIT"
] | null | null | null |
src/GUM_Dispenser/__init__.py
|
jrdnfike/GUM_Dispenser
|
b2655339445af4b1fb328676e2ec9f239dcd6bfc
|
[
"MIT"
] | null | null | null |
__all__ = ['GUM_Dispenser_Main', 'GUM_setup_parser', 'GUM_Describe_Source', 'GUM_Generate_NOMNOML', 'GUM_Exceptions']
| 59
| 117
| 0.79661
| 15
| 118
| 5.4
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059322
| 118
| 1
| 118
| 118
| 0.72973
| 0
| 0
| 0
| 1
| 0
| 0.737288
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
56250bc919b313aa73d52cc5859b027f7a03d9eb
| 18,160
|
py
|
Python
|
aiida/scheduler/plugins/test_pbspro.py
|
BIGDATA2015-AIIDA-EXTENSION/query_engine
|
d1cfc7cfe6084854005d2376e3825310c66876b5
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
aiida/scheduler/plugins/test_pbspro.py
|
BIGDATA2015-AIIDA-EXTENSION/query_engine
|
d1cfc7cfe6084854005d2376e3825310c66876b5
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
aiida/scheduler/plugins/test_pbspro.py
|
BIGDATA2015-AIIDA-EXTENSION/query_engine
|
d1cfc7cfe6084854005d2376e3825310c66876b5
|
[
"MIT",
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
from aiida.scheduler.plugins.pbspro import *
import unittest
#import logging
import uuid
text_qstat_f_to_test = """Job Id: 68350.mycluster
Job_Name = cell-Qnormal
Job_Owner = usernum1@mycluster.cluster
job_state = Q
queue = Q_express
server = mycluster
Checkpoint = u
ctime = Tue Apr 9 15:01:47 2013
Error_Path = mycluster.cluster:/home/usernum1/scratch/cptest/scaletest/PTOs
caletest/testjob.err
Hold_Types = n
Join_Path = n
Keep_Files = n
Mail_Points = a
mtime = Mon Apr 22 13:13:53 2013
Output_Path = mycluster.cluster:/home/usernum1/scratch/cptest/scaletest/PTO
scaletest/testjob.out
Priority = 0
qtime = Tue Apr 9 18:26:32 2013
Rerunable = False
Resource_List.mpiprocs = 15
Resource_List.ncpus = 240
Resource_List.nodect = 15
Resource_List.place = free
Resource_List.select = 15:ncpus=16
Resource_List.walltime = 01:00:00
substate = 10
Variable_List = PBS_O_SYSTEM=Linux,PBS_O_SHELL=/bin/bash,
PBS_O_HOME=/home/usernum1,PBS_O_LOGNAME=usernum1,
PBS_O_WORKDIR=/home/usernum1/scratch/cptest/scaletest/PTOscaletest,
PBS_O_LANG=en_US.UTF-8,
PBS_O_PATH=/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/loc
al/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/b
in:/opt/software/python/3.3.0/bin:/opt/software/bin,
PBS_O_MAIL=/var/spool/mail/usernum1,PBS_O_QUEUE=P_share_queue,
PBS_O_HOST=mycluster.cluster
comment = Not Running: Node is in an ineligible state: offline
etime = Tue Apr 9 18:26:32 2013
Submit_arguments = job-PTO64cell-Qnormal.6.15.1.64.4
project = _pbs_project_default
Job Id: 68351.mycluster
Job_Name = cell-Qnormal
Job_Owner = usernum1@mycluster.cluster
job_state = Q
queue = Q_express
server = mycluster
Checkpoint = u
ctime = Tue Apr 9 15:01:47 2013
Error_Path = mycluster.cluster:/home/usernum1/scratch/cptest/scaletest/PTOs
caletest/testjob.err
Hold_Types = n
Join_Path = n
Keep_Files = n
Mail_Points = a
mtime = Mon Apr 22 13:13:53 2013
Output_Path = mycluster.cluster:/home/usernum1/scratch/cptest/scaletest/PTO
scaletest/testjob.out
Priority = 0
qtime = Tue Apr 9 18:26:32 2013
Rerunable = False
Resource_List.mpiprocs = 15
Resource_List.ncpus = 240
Resource_List.nodect = 15
Resource_List.place = free
Resource_List.select = 15:ncpus=16
Resource_List.walltime = 01:00:00
substate = 10
Variable_List = PBS_O_SYSTEM=Linux,PBS_O_SHELL=/bin/bash,
PBS_O_HOME=/home/usernum1,PBS_O_LOGNAME=usernum1,
PBS_O_WORKDIR=/home/usernum1/scratch/cptest/scaletest/PTOscaletest,
PBS_O_LANG=en_US.UTF-8,
PBS_O_PATH=/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/loc
al/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/b
in:/opt/software/python/3.3.0/bin:/opt/software/bin,
PBS_O_MAIL=/var/spool/mail/usernum1,PBS_O_QUEUE=P_share_queue,
PBS_O_HOST=mycluster.cluster
comment = Not Running: Node is in an ineligible state: offline
etime = Tue Apr 9 18:26:32 2013
Submit_arguments = job-PTO64cell-Qnormal.6.15.1.64.8
project = _pbs_project_default
Job Id: 69301.mycluster
Job_Name = Cu-dbp
Job_Owner = user02@mycluster.cluster
resources_used.cpupercent = 6384
resources_used.cput = 4090:56:03
resources_used.mem = 13378420kb
resources_used.ncpus = 64
resources_used.vmem = 9866188kb
resources_used.walltime = 64:26:16
job_state = R
queue = P_lsu
server = mycluster
Account_Name = lsu
Checkpoint = u
ctime = Wed Apr 10 17:10:29 2013
depend = afterok:69299.mycluster@mycluster.cluster,
beforeok:69302.mycluster@mycluster.cluster
Error_Path = mycluster.cluster:/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN7/C
u-dbp.e69301
exec_host = b141/0*16+b142/0*16+b143/0*16+b144/0*16
exec_vnode = (b141:ncpus=16)+(b142:ncpus=16)+(b143:ncpus=16)+(b144:ncpus=16
)
Hold_Types = n
Join_Path = oe
Keep_Files = n
Mail_Points = a
mtime = Sat Apr 20 01:37:01 2013
Output_Path = mycluster.cluster:/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN7/
Cu-dbp.o69301
Priority = 0
qtime = Wed Apr 10 17:10:29 2013
Rerunable = False
Resource_List.mpiprocs = 4
Resource_List.ncpus = 64
Resource_List.nodect = 4
Resource_List.place = excl
Resource_List.select = 4:ncpus=16
Resource_List.walltime = 72:00:00
stime = Sat Apr 20 01:36:59 2013
session_id = 118473
Shell_Path_List = /bin/tcsh
jobdir = /home/user02
substate = 42
Variable_List = SSH_ASKPASS=/usr/libexec/openssh/gnome-ssh-askpass,
PERL_BADLANG=0,KDE_IS_PRELINKED=1,PBS_O_HOME=/home/user02,
module=() { eval `/usr/bin/modulecmd bash $*`,},
LESSOPEN=|/usr/bin/lesspipe.sh %s,PBS_O_LOGNAME=user02,
SSH_CLIENT=128.178.54.94 46714 22,CVS_RSH=ssh,PBS_O_LANG=C,USER=user02,
HOME=/home/user02,LIBGL_ALWAYS_INDIRECT=yes,
PATH=/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/local/bin
:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/bin:/op
t/software/python/3.3.0/bin:/opt/software/bin,
LD_LIBRARY_PATH=/opt/software/python/3.3.0/lib,
SSH_CONNECTION=128.178.54.94 46714 128.178.209.70 22,LANG=C,
QTLIB=/usr/lib64/qt-3.3/lib,TERM=xterm,SHELL=/bin/bash,
QTINC=/usr/lib64/qt-3.3/include,G_BROKEN_FILENAMES=1,HISTSIZE=1000,
PBS_O_WORKDIR=/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN7,
PBS_O_PATH=/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/loc
al/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/b
in:/opt/software/python/3.3.0/bin:/opt/software/bin,
MANPATH=/opt/xcat/share/man:,XCATROOT=/opt/xcat,
MODULESHOME=/usr/share/Modules,PBS_O_SYSTEM=Linux,MSM_PRODUCT=MSM,
HOST=mycluster,MAIL=/var/spool/mail/user02,
PBS_O_MAIL=/var/spool/mail/user02,_=/opt/pbs/default/bin/qsub,
MODULEPATH=/etc/modulefiles:/opt/software/modulefiles:/opt/software/cs
e-software/modulefiles,KDEDIRS=/usr,PBS_O_SHELL=/bin/bash,
SSH_TTY=/dev/pts/55,OLDPWD=/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN6,
LOADEDMODULES=,HISTCONTROL=ignoredups,SHLVL=1,
PWD=/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN7,HOSTNAME=mycluster,
MSM_HOME=/usr/local/MegaRAID Storage Manager,LOGNAME=user02,
PBS_O_HOST=mycluster.cluster
comment = Job run at Sat Apr 20 at 01:36 on (b141:ncpus=16)+(b142:ncpus=16)
+(b143:ncpus=16)+(b144:ncpus=16)
etime = Sat Apr 20 01:36:59 2013
Submit_arguments = job.sh
project = _pbs_project_default
Job Id: 69302.mycluster
Job_Name = Cu-dbp
Job_Owner = user02@mycluster.cluster
job_state = H
queue = P_lsu
server = mycluster
Account_Name = lsu
Checkpoint = u
ctime = Wed Apr 10 17:11:21 2013
depend = afterok:69301.mycluster@mycluster.cluster
Error_Path = mycluster.cluster:/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN8/C
u-dbp.e69302
Hold_Types = s
Join_Path = oe
Keep_Files = n
Mail_Points = a
mtime = Wed Apr 10 17:11:21 2013
Output_Path = mycluster.cluster:/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN8/
Cu-dbp.o69302
Priority = 0
qtime = Wed Apr 10 17:11:21 2013
Rerunable = False
Resource_List.mpiprocs = 4
Resource_List.ncpus = 64
Resource_List.nodect = 4
Resource_List.place = excl
Resource_List.select = 4:ncpus=16
Resource_List.walltime = 72:00:00
Shell_Path_List = /bin/tcsh
substate = 22
Variable_List = SSH_ASKPASS=/usr/libexec/openssh/gnome-ssh-askpass,
PERL_BADLANG=0,KDE_IS_PRELINKED=1,PBS_O_HOME=/home/user02,
module=() { eval `/usr/bin/modulecmd bash $*`,},
LESSOPEN=|/usr/bin/lesspipe.sh %s,PBS_O_LOGNAME=user02,
SSH_CLIENT=128.178.54.94 46714 22,CVS_RSH=ssh,PBS_O_LANG=C,USER=user02,
HOME=/home/user02,LIBGL_ALWAYS_INDIRECT=yes,
PATH=/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/local/bin
:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/bin:/op
t/software/python/3.3.0/bin:/opt/software/bin,
LD_LIBRARY_PATH=/opt/software/python/3.3.0/lib,
SSH_CONNECTION=128.178.54.94 46714 128.178.209.70 22,LANG=C,
QTLIB=/usr/lib64/qt-3.3/lib,TERM=xterm,SHELL=/bin/bash,
QTINC=/usr/lib64/qt-3.3/include,G_BROKEN_FILENAMES=1,HISTSIZE=1000,
PBS_O_WORKDIR=/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN8,
PBS_O_PATH=/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/loc
al/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/b
in:/opt/software/python/3.3.0/bin:/opt/software/bin,
MANPATH=/opt/xcat/share/man:,XCATROOT=/opt/xcat,
MODULESHOME=/usr/share/Modules,PBS_O_SYSTEM=Linux,MSM_PRODUCT=MSM,
HOST=mycluster,MAIL=/var/spool/mail/user02,
PBS_O_MAIL=/var/spool/mail/user02,_=/opt/pbs/default/bin/qsub,
MODULEPATH=/etc/modulefiles:/opt/software/modulefiles:/opt/software/cs
e-software/modulefiles,KDEDIRS=/usr,PBS_O_SHELL=/bin/bash,
SSH_TTY=/dev/pts/55,OLDPWD=/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN7,
LOADEDMODULES=,HISTCONTROL=ignoredups,SHLVL=1,
PWD=/scratch/user02/QMMM-CuPhens/dbp/NOSE/RUN8,HOSTNAME=mycluster,
MSM_HOME=/usr/local/MegaRAID Storage Manager,LOGNAME=user02,
PBS_O_HOST=mycluster.cluster
Submit_arguments = job.sh
project = _pbs_project_default
Job Id: 74164.mycluster
Job_Name = u-100-l-96.job
Job_Owner = user3@mycluster.cluster
resources_used.cpupercent = 3889
resources_used.cput = 343:11:42
resources_used.mem = 1824176kb
resources_used.ncpus = 32
resources_used.vmem = 3796376kb
resources_used.walltime = 10:45:13
job_state = R
queue = Q_normal
server = mycluster
Checkpoint = u
ctime = Fri Apr 12 15:21:55 2013
depend = afterany:74163.mycluster@mycluster.cluster,
beforeany:74165.mycluster@mycluster.cluster
Error_Path = mycluster.cluster:/scratch/user3/ubiquitin/100gL/starting-from
-left/production/u-100-l-96.job.e74164
exec_host = b270/0*16+b275/0*16
exec_vnode = (b270:ncpus=16)+(b275:ncpus=16)
Hold_Types = n
Join_Path = oe
Keep_Files = n
Mail_Points = abe
Mail_Users = enrico.user3@epfl.ch
mtime = Mon Apr 22 07:17:36 2013
Output_Path = mycluster.cluster:/scratch/user3/ubiquitin/100gL/starting-fro
m-left/production/u-100-l-96.job.o74164
Priority = 0
qtime = Fri Apr 12 15:21:55 2013
Rerunable = False
Resource_List.mpiprocs = 32
Resource_List.ncpus = 32
Resource_List.nodect = 2
Resource_List.place = excl
Resource_List.select = 2:ncpus=16:mpiprocs=16
Resource_List.walltime = 24:00:00
stime = Mon Apr 22 07:17:36 2013
session_id = 14147
jobdir = /home/user3
substate = 42
Variable_List = PBS_O_SYSTEM=Linux,PBS_O_SHELL=/bin/bash,
PBS_O_HOME=/home/user3,PBS_O_LOGNAME=user3,
PBS_O_WORKDIR=/scratch/user3/ubiquitin/100gL/starting-from-left/produc
tion,PBS_O_LANG=en_US.utf8,
PBS_O_PATH=/opt/pbs/default/sbin/:/home/bovigny/bin:/opt/xcat/bin:/opt
/xcat/sbin:/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/loca
l/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/bi
n:/opt/software/python/3.3.0/bin:/opt/software/bin:/opt/pbs/default/bin
:/opt/software/python/3.3.0/bin:/opt/software/bin,
PBS_O_MAIL=/var/spool/mail/user3,PBS_O_QUEUE=P_share_queue,
PBS_O_HOST=mycluster.cluster
comment = Job run at Mon Apr 22 at 07:17 on (b270:ncpus=16)+(b275:ncpus=16)
etime = Mon Apr 22 07:17:34 2013
Submit_arguments = -W depend=afterany:74163 u-100-l-96.job
project = _pbs_project_default
Job Id: 74165.mycluster
Job_Name = u-100-l-97.job
Job_Owner = user3@mycluster.cluster
job_state = H
queue = Q_normal
server = mycluster
Checkpoint = u
ctime = Fri Apr 12 15:22:01 2013
depend = afterany:74164.mycluster@mycluster.cluster,
beforeany:74166.mycluster@mycluster.cluster
Error_Path = mycluster.cluster:/scratch/user3/ubiquitin/100gL/starting-from
-left/production/u-100-l-97.job.e74165
Hold_Types = s
Join_Path = oe
Keep_Files = n
Mail_Points = abe
Mail_Users = enrico.user3@epfl.ch
mtime = Fri Apr 12 15:22:07 2013
Output_Path = mycluster.cluster:/scratch/user3/ubiquitin/100gL/starting-fro
m-left/production/u-100-l-97.job.o74165
Priority = 0
qtime = Fri Apr 12 15:22:01 2013
Rerunable = False
Resource_List.mpiprocs = 32
Resource_List.ncpus = 32
Resource_List.nodect = 2
Resource_List.place = excl
Resource_List.select = 2:ncpus=16:mpiprocs=16
Resource_List.walltime = 24:00:00
substate = 22
Variable_List = PBS_O_SYSTEM=Linux,PBS_O_SHELL=/bin/bash,
PBS_O_HOME=/home/user3,PBS_O_LOGNAME=user3,
PBS_O_WORKDIR=/scratch/user3/ubiquitin/100gL/starting-from-left/produc
tion,PBS_O_LANG=en_US.utf8,
PBS_O_PATH=/opt/pbs/default/sbin/:/home/bovigny/bin:/opt/xcat/bin:/opt
/xcat/sbin:/opt/xcat/bin:/opt/xcat/sbin:/usr/lib64/qt-3.3/bin:/usr/loca
l/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/pbs/default/bi
n:/opt/software/python/3.3.0/bin:/opt/software/bin:/opt/pbs/default/bin
:/opt/software/python/3.3.0/bin:/opt/software/bin,
PBS_O_MAIL=/var/spool/mail/user3,PBS_O_QUEUE=P_share_queue,
PBS_O_HOST=mycluster.cluster
Submit_arguments = -W depend=afterany:74164 u-100-l-97.job
project = _pbs_project_default
"""
__copyright__ = u"Copyright (c), 2015, ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (Theory and Simulation of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (NCCR MARVEL)), Switzerland and ROBERT BOSCH LLC, USA. All rights reserved."
__license__ = "MIT license, see LICENSE.txt file"
__version__ = "0.4.0"
__contributors__ = "Andrea Cepellotti, Giovanni Pizzi, Marco Dorigo"
class TestParserQstat(unittest.TestCase):
"""
Tests to verify if teh function _parse_joblist_output behave correctly
The tests is done parsing a string defined above, to be used offline
"""
def test_parse_common_joblist_output(self):
"""
Test whether _parse_joblist can parse the qstat -f output
"""
s = PbsproScheduler()
retval = 0
stdout = text_qstat_f_to_test
stderr = ''
job_list = s._parse_joblist_output(retval, stdout, stderr)
# The parameters are hard coded in the text to parse
job_on_cluster = 6
job_parsed = len(job_list)
self.assertEquals(job_parsed, job_on_cluster)
job_running = 2
job_running_parsed = len([ j for j in job_list if j.job_state \
and j.job_state == job_states.RUNNING ])
self.assertEquals(job_running,job_running_parsed)
job_held = 2
job_held_parsed = len([ j for j in job_list if j.job_state \
and j.job_state == job_states.QUEUED_HELD ])
self.assertEquals(job_held,job_held_parsed)
job_queued = 2
job_queued_parsed = len([ j for j in job_list if j.job_state \
and j.job_state == job_states.QUEUED ])
self.assertEquals(job_queued,job_queued_parsed)
running_users = ['user02','user3']
parsed_running_users = [ j.job_owner for j in job_list if j.job_state \
and j.job_state == job_states.RUNNING ]
self.assertEquals( set(running_users) , set(parsed_running_users) )
running_jobs = ['69301.mycluster','74164.mycluster']
parsed_running_jobs = [ j.job_id for j in job_list if j.job_state \
and j.job_state == job_states.RUNNING ]
self.assertEquals( set(running_jobs) , set(parsed_running_jobs) )
for j in job_list:
if j.allocated_machines:
num_machines = 0
num_cpus = 0
for n in j.allocated_machines:
num_machines += 1
num_cpus += n.num_cpus
self.assertTrue( j.num_machines==num_machines )
self.assertTrue( j.num_cpus==num_cpus )
# TODO : parse the env_vars
# TODO: WHEN WE USE THE CORRECT ERROR MANAGEMENT, REIMPLEMENT THIS TEST
# def test_parse_with_error_retval(self):
# """
# The qstat -f command has received a retval != 0
# """
# s = PbsproScheduler()
# retval = 1
# stdout = text_qstat_f_to_test
# stderr = ''
# # Disable logging to avoid excessive output during test
# logging.disable(logging.ERROR)
# with self.assertRaises(SchedulerError):
# job_list = s._parse_joblist_output(retval, stdout, stderr)
# # Reset logging level
# logging.disable(logging.NOTSET)
# def test_parse_with_error_stderr(self):
# """
# The qstat -f command has received a stderr
# """
# s = PbsproScheduler()
# retval = 0
# stdout = text_qstat_f_to_test
# stderr = 'A non empty error message'
# # TODO : catch the logging error
# job_list = s._parse_joblist_output(retval, stdout, stderr)
# # print s._logger._log, dir(s._logger._log),'!!!!'
class TestSubmitScript(unittest.TestCase):
def test_submit_script(self):
"""
"""
from aiida.scheduler.datastructures import JobTemplate
s = PbsproScheduler()
job_tmpl = JobTemplate()
job_tmpl.argv = ["mpirun", "-np", "23", "pw.x", "-npool", "1"]
job_tmpl.stdin_name = 'aiida.in'
job_tmpl.job_resource = s.create_job_resource(num_machines=1, num_mpiprocs_per_machine=1)
job_tmpl.uuid = str(uuid.uuid4())
job_tmpl.max_wallclock_seconds = 24 * 3600
submit_script_text = s.get_submit_script(job_tmpl)
self.assertTrue( '#PBS -r n' in submit_script_text )
self.assertTrue( submit_script_text.startswith('#!/bin/bash') )
self.assertTrue( '#PBS -l walltime=24:00:00' in submit_script_text )
self.assertTrue( '#PBS -l select=1' in submit_script_text )
self.assertTrue( "'mpirun' '-np' '23' 'pw.x' '-npool' '1'" + \
" < 'aiida.in'" in submit_script_text )
| 40.626398
| 278
| 0.691244
| 2,797
| 18,160
| 4.314623
| 0.169825
| 0.019224
| 0.015081
| 0.010938
| 0.767981
| 0.741631
| 0.713126
| 0.683046
| 0.677743
| 0.664899
| 0
| 0.075775
| 0.188271
| 18,160
| 446
| 279
| 40.717489
| 0.742894
| 0.07913
| 0
| 0.638522
| 0
| 0.118734
| 0.813281
| 0.436839
| 0
| 0
| 0
| 0.002242
| 0.034301
| 1
| 0.005277
| false
| 0.005277
| 0.010554
| 0
| 0.021108
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
563a4921fb61340d4b8b99bfe1684f0fe71aff68
| 105
|
py
|
Python
|
botaclan/helpers/lists.py
|
bataclanofficial/botaclan
|
93f8ccab4f29c50a395a588b7779431eab8625e8
|
[
"Apache-2.0"
] | null | null | null |
botaclan/helpers/lists.py
|
bataclanofficial/botaclan
|
93f8ccab4f29c50a395a588b7779431eab8625e8
|
[
"Apache-2.0"
] | null | null | null |
botaclan/helpers/lists.py
|
bataclanofficial/botaclan
|
93f8ccab4f29c50a395a588b7779431eab8625e8
|
[
"Apache-2.0"
] | null | null | null |
from typing import List, T
def get_first_item(items: List[T]) -> T:
return next(iter(items), None)
| 17.5
| 40
| 0.685714
| 18
| 105
| 3.888889
| 0.777778
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180952
| 105
| 5
| 41
| 21
| 0.813953
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 5
|
568fe2ca1c5825bb9a77cda8a3a20df6bfce2b30
| 2,402
|
py
|
Python
|
src/titlescreen.py
|
bl-ackrain/Jetpack-Pokitto
|
240a9afea7a2c91cd1d08184b615a3dfe5c24645
|
[
"MIT"
] | null | null | null |
src/titlescreen.py
|
bl-ackrain/Jetpack-Pokitto
|
240a9afea7a2c91cd1d08184b615a3dfe5c24645
|
[
"MIT"
] | null | null | null |
src/titlescreen.py
|
bl-ackrain/Jetpack-Pokitto
|
240a9afea7a2c91cd1d08184b615a3dfe5c24645
|
[
"MIT"
] | null | null | null |
# titlescreen.py
import upygame
logoPixels = b'\
\x99\x99\x99\x98\x80\x00\x00\x99\x99\x88\x80\x00\x99\x99\x98\x88\x80\x09\x99\x98\x88\x80\x09\x99\x88\x88\x00\x99\x99\x88\x80\x09\x99\x88\x09\
\x01\x11\x11\x19\x88\x00\x00\x91\x11\x98\x88\x99\x11\x11\x19\x98\x88\x99\x11\x99\x88\x88\x91\x11\x98\x88\x89\x11\x19\x98\x88\x91\x18\x88\x99\
\x09\x18\x81\x11\x88\x80\x09\x11\x11\x19\x89\x11\x11\x11\x11\x19\x89\x91\x11\x19\x98\x89\x11\x11\x19\x88\x91\x11\x11\x99\x89\x11\x98\x89\x99\
\x00\x90\x09\x11\x98\x88\x91\x11\x99\x17\x89\x19\x99\x19\x99\x19\x89\x11\x99\x11\x98\x91\x11\x91\x11\x98\x91\x19\x91\x19\x89\x19\x88\x99\x19\
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'
logo = upygame.surface.Surface(70, 16, logoPixels);
| 96.08
| 142
| 0.731057
| 573
| 2,402
| 3.064572
| 0.082024
| 0.095672
| 0.076879
| 0.075171
| 0.464692
| 0.319476
| 0.211845
| 0.15205
| 0.111048
| 0.111048
| 0
| 0.470162
| 0.023314
| 2,402
| 24
| 143
| 100.083333
| 0.278346
| 0.005828
| 0
| 0
| 0
| 0.8
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.05
| 0
| 0.05
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5693d714eafd06865a07dedef3e3c8ed43436124
| 263
|
py
|
Python
|
config_db.py
|
hung96ad/predict_price_cryptocurrencies
|
c13a9560045c6c028c26cacda1d089cd21246aaa
|
[
"Unlicense"
] | 4
|
2018-11-09T18:08:04.000Z
|
2020-02-13T15:47:33.000Z
|
config_db.py
|
hung96ad/predict_price_cryptocurrencies
|
c13a9560045c6c028c26cacda1d089cd21246aaa
|
[
"Unlicense"
] | null | null | null |
config_db.py
|
hung96ad/predict_price_cryptocurrencies
|
c13a9560045c6c028c26cacda1d089cd21246aaa
|
[
"Unlicense"
] | 5
|
2019-05-28T11:14:58.000Z
|
2022-03-16T08:34:16.000Z
|
try:
import mysql.connector as mysql
except :
import MySQLdb as mysql
def config_db():
return mysql.connect(user='root', password='',
host='localhost',
database='coin')
| 26.3
| 68
| 0.48289
| 24
| 263
| 5.25
| 0.791667
| 0.111111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.425856
| 263
| 9
| 69
| 29.222222
| 0.834437
| 0
| 0
| 0
| 0
| 0
| 0.064639
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| true
| 0.125
| 0.25
| 0.125
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| 1
| 0
| 0
|
0
| 5
|
56945336d8bb03130acbfab0a81f5207b0b6b6c3
| 19,334
|
py
|
Python
|
tests/autodiff_test.py
|
GIS-PuppetMaster/TENSILE
|
e19f973bb30fba69a23644389c82a4471ee5a241
|
[
"MIT"
] | null | null | null |
tests/autodiff_test.py
|
GIS-PuppetMaster/TENSILE
|
e19f973bb30fba69a23644389c82a4471ee5a241
|
[
"MIT"
] | null | null | null |
tests/autodiff_test.py
|
GIS-PuppetMaster/TENSILE
|
e19f973bb30fba69a23644389c82a4471ee5a241
|
[
"MIT"
] | 1
|
2020-09-27T07:27:47.000Z
|
2020-09-27T07:27:47.000Z
|
from pycode.tinyflow import autodiff as ad
import numpy as np
from pycode.tinyflow import ndarray
from pycode.tinyflow import TrainExecute
from pycode.tinyflow import train
def test_identity():
x2 = ad.Variable(name="x2")
y = x2
grad_x2, = ad.gradients(y, [x2])
executor = ad.Executor([y, grad_x2])
x2_val = 2 * np.ones(3)
y_val, grad_x2_val = executor.run(feed_dict={x2: x2_val})
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, x2_val)
assert np.array_equal(grad_x2_val, np.ones_like(x2_val))
def test_add_by_const():
x2 = ad.Variable(name="x2")
y = 5 + x2
grad_x2, = ad.gradients(y, [x2])
executor = ad.Executor([y, grad_x2])
x2_val = 2 * np.ones(3)
y_val, grad_x2_val = executor.run(feed_dict={x2: x2_val})
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, x2_val + 5)
assert np.array_equal(grad_x2_val, np.ones_like(x2_val))
def test_mul_by_const():
x2 = ad.Variable(name="x2")
y = 5 * x2
grad_x2, = ad.gradients(y, [x2])
executor = ad.Executor([y, grad_x2])
x2_val = 2 * np.ones(3)
y_val, grad_x2_val = executor.run(feed_dict={x2: x2_val})
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, x2_val * 5)
assert np.array_equal(grad_x2_val, np.ones_like(x2_val) * 5)
def test_add_two_vars():
x2 = ad.Variable(name="x2")
x3 = ad.Variable(name="x3")
y = x2 + x3
grad_x2, grad_x3 = ad.gradients(y, [x2, x3])
executor = ad.Executor([y, grad_x2, grad_x3])
x2_val = 2 * np.ones(3)
x3_val = 3 * np.ones(3)
y_val, grad_x2_val, grad_x3_val = executor.run(feed_dict={x2: x2_val, x3: x3_val})
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, x2_val + x3_val)
assert np.array_equal(grad_x2_val, np.ones_like(x2_val))
assert np.array_equal(grad_x3_val, np.ones_like(x3_val))
def test_mul_two_vars():
x2 = ad.Variable(name="x2")
x3 = ad.Variable(name="x3")
y = x2 * x3
grad_x2, grad_x3 = ad.gradients(y, [x2, x3])
executor = ad.Executor([y, grad_x2, grad_x3])
x2_val = 2 * np.ones(3)
x3_val = 3 * np.ones(3)
y_val, grad_x2_val, grad_x3_val = executor.run(feed_dict={x2: x2_val, x3: x3_val})
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, x2_val * x3_val)
assert np.array_equal(grad_x2_val, x3_val)
assert np.array_equal(grad_x3_val, x2_val)
def test_add_mul_mix_1():
x1 = ad.Variable(name="x1")
x2 = ad.Variable(name="x2")
x3 = ad.Variable(name="x3")
y = x1 + x2 * x3 * x1
grad_x1, grad_x2, grad_x3 = ad.gradients(y, [x1, x2, x3])
executor = ad.Executor([y, grad_x1, grad_x2, grad_x3])
x1_val = 1 * np.ones(3)
x2_val = 2 * np.ones(3)
x3_val = 3 * np.ones(3)
y_val, grad_x1_val, grad_x2_val, grad_x3_val = executor.run(feed_dict={x1: x1_val, x2: x2_val, x3: x3_val})
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, x1_val + x2_val * x3_val)
assert np.array_equal(grad_x1_val, np.ones_like(x1_val) + x2_val * x3_val)
assert np.array_equal(grad_x2_val, x3_val * x1_val)
assert np.array_equal(grad_x3_val, x2_val * x1_val)
def test_add_mul_mix_2():
x1 = ad.Variable(name="x1")
x2 = ad.Variable(name="x2")
x3 = ad.Variable(name="x3")
x4 = ad.Variable(name="x4")
y = x1 + x2 * x3 * x4
grad_x1, grad_x2, grad_x3, grad_x4 = ad.gradients(y, [x1, x2, x3, x4])
executor = ad.Executor([y, grad_x1, grad_x2, grad_x3, grad_x4])
x1_val = 1 * np.ones(3)
x2_val = 2 * np.ones(3)
x3_val = 3 * np.ones(3)
x4_val = 4 * np.ones(3)
y_val, grad_x1_val, grad_x2_val, grad_x3_val, grad_x4_val = executor.run(
feed_dict={x1: x1_val, x2: x2_val, x3: x3_val, x4: x4_val}
)
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, x1_val + x2_val * x3_val * x4_val)
assert np.array_equal(grad_x1_val, np.ones_like(x1_val))
assert np.array_equal(grad_x2_val, x3_val * x4_val)
assert np.array_equal(grad_x3_val, x2_val * x4_val)
assert np.array_equal(grad_x4_val, x2_val * x3_val)
def test_add_mul_mix_3():
x2 = ad.Variable(name="x2")
x3 = ad.Variable(name="x3")
z = x2 * x2 + x2 + x3 + 3
y = z * z + x3
grad_x2, grad_x3 = ad.gradients(y, [x2, x3])
executor = ad.Executor([y, grad_x2, grad_x3])
x2_val = 2 * np.ones(3)
x3_val = 3 * np.ones(3)
y_val, grad_x2_val, grad_x3_val = executor.run(feed_dict={x2: x2_val, x3: x3_val})
z_val = x2_val * x2_val + x2_val + x3_val + 3
expected_yval = z_val * z_val + x3_val
expected_grad_x2_val = 2 * (x2_val * x2_val + x2_val + x3_val + 3) * (2 * x2_val + 1)
expected_grad_x3_val = 2 * (x2_val * x2_val + x2_val + x3_val + 3) + 1
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, expected_yval)
assert np.array_equal(grad_x2_val, expected_grad_x2_val)
assert np.array_equal(grad_x3_val, expected_grad_x3_val)
def test_grad_of_grad():
x2 = ad.Variable(name="x2")
x3 = ad.Variable(name="x3")
y = x2 * x2 + x2 * x3
grad_x2, grad_x3 = ad.gradients(y, [x2, x3])
grad_x2_x2, grad_x2_x3 = ad.gradients(grad_x2, [x2, x3])
executor = ad.Executor([y, grad_x2, grad_x3, grad_x2_x2, grad_x2_x3])
x2_val = 2 * np.ones(3)
x3_val = 3 * np.ones(3)
y_val, grad_x2_val, grad_x3_val, grad_x2_x2_val, grad_x2_x3_val = executor.run(
feed_dict={x2: x2_val, x3: x3_val}
)
expected_yval = x2_val * x2_val + x2_val * x3_val
expected_grad_x2_val = 2 * x2_val + x3_val
expected_grad_x3_val = x2_val
expected_grad_x2_x2_val = 2 * np.ones_like(x2_val)
expected_grad_x2_x3_val = 1 * np.ones_like(x2_val)
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, expected_yval)
assert np.array_equal(grad_x2_val, expected_grad_x2_val)
assert np.array_equal(grad_x3_val, expected_grad_x3_val)
assert np.array_equal(grad_x2_x2_val, expected_grad_x2_x2_val)
assert np.array_equal(grad_x2_x3_val, expected_grad_x2_x3_val)
def test_matmul_two_vars():
x2 = ad.Variable(name="x2")
x3 = ad.Variable(name="x3")
y = ad.matmul_op(x2, x3)
grad_x2, grad_x3 = ad.gradients(y, [x2, x3])
executor = ad.Executor([y, grad_x2, grad_x3])
x2_val = np.array([[1, 2], [3, 4], [5, 6]]) # 3x2
x3_val = np.array([[7, 8, 9], [10, 11, 12]]) # 2x3
y_val, grad_x2_val, grad_x3_val = executor.run(feed_dict={x2: x2_val, x3: x3_val})
expected_yval = np.matmul(x2_val, x3_val)
expected_grad_x2_val = np.matmul(np.ones_like(expected_yval), np.transpose(x3_val))
expected_grad_x3_val = np.matmul(np.transpose(x2_val), np.ones_like(expected_yval))
assert isinstance(y, ad.Node)
assert np.array_equal(y_val, expected_yval)
assert np.array_equal(grad_x2_val, expected_grad_x2_val)
assert np.array_equal(grad_x3_val, expected_grad_x3_val)
def test_exp():
x1 = ad.Variable("x1")
x2 = ad.exp_op(x1)
x3 = x2 + 1
x4 = x2 * x3
x1_grad, = ad.gradients(x4, [x1])
executor = ad.Executor([x4])
x1_val = 1
x4_val, x1_grad = executor.run(feed_dict={x1: x1_val})
print(x4_val)
print(x1_grad)
def test_exp_grad():
x = ad.Variable("x")
y = ad.exp_op(x)
x_grad, = ad.gradients(y, [x])
executor = ad.Executor([y, x_grad])
x_val = 1
y_val, x_grad_val = executor.run(feed_dict={x: x_val})
print(y_val)
print(x_grad_val)
def test_lr():
W = ad.Variable(name="W")
b = ad.Variable(name="b")
X = ad.Variable(name="X")
y_ = ad.Variable(name="y_")
ctx = ndarray.gpu(0)
# ini
x_val = np.linspace(0,1,100).reshape((100,1))
y_val = x_val + 0.5
W_val = np.array([[0.1]])
b_val = np.array([0.1])
x_val = ndarray.array(x_val, ctx)
W_val = ndarray.array(W_val, ctx)
b_val = ndarray.array(b_val, ctx)
y_val = ndarray.array(y_val, ctx)
z = ad.matmul_op(X, W)
# z.shape = (100,1)
# b.shape = (1,1)
y = z + ad.broadcastto_op(b, z)
# y = (100,1)
y = ad.fullyactivation_forward_op(y,"NCHW","relu")
loss = ad.matmul_op(y + (-1)*y_, y + (-1)*y_, trans_A=True) * (1/100)
# loss = ad.softmaxcrossentropy_op(y, y_)
grad_W, grad_b = ad.gradients(loss, [W, b])
executor = ad.Executor([loss, grad_W, grad_b],ctx)
aph = 1e-6
for i in range(100):
loss_val, grad_W_val ,grad_b_val = executor.run(feed_dict={X: x_val,b: b_val,W: W_val,y_:y_val})
grad_W_val = grad_W_val.asnumpy()
W_val = W_val.asnumpy()
W_val = W_val - aph * grad_W_val
W_val = ndarray.array(W_val, ctx)
grad_b_val = grad_b_val.asnumpy()
b_val = b_val.asnumpy()
b_val = b_val - aph * grad_b_val
b_val = ndarray.array(b_val, ctx)
print(W_val.asnumpy(), b_val.asnumpy())
# executor = ad.Executor([y])
# res = executor.run(feed_dict={X: x_val,b: b_val,W: W_val})
# print('y_true'+str(y_val))
# print('y_pred'+str(res))
def test_convolution_1d_forward_op():
inputs = ad.Variable("inputs")
filters = ad.Variable("filters")
y_ = ad.Variable(name="y_")
#ini
ctx = ndarray.gpu(0)
x_val = np.linspace(0,100,100).reshape((5,1,20))
filters_val = np.ones((1,1,20))*0.001
y_val = np.zeros((5,1))
x_val = ndarray.array(x_val,ctx)
filters_val = ndarray.array(filters_val,ctx)
y_val = ndarray.array(y_val, ctx)
outputs = ad.convolution_1d_forward_op(inputs, filters, "NCHW", "VALID", 1)
outputs_pool = ad.pooling_1d_forward_op(outputs,"NCHW","max",0,1,1)
outputs_relu = ad.activation_forward_op(outputs_pool,"NCHW","relu")
outputs_f = ad.flatten_op(outputs_relu)
outputs_fu = ad.fullyactivation_forward_op(outputs_f, "NCHW", "relu")
loss = ad.matmul_op(outputs_fu, outputs_fu, trans_A=True) *(1/5)
grad_inputs,grad_f = ad.gradients(loss, [inputs,filters])
executor = ad.Executor([loss, grad_f],ctx=ctx)
aph = 1.0e-6
for i in range(10):
loss_val, filters_grad_val = executor.run(feed_dict={inputs: x_val,filters:filters_val})
filters_val = filters_val.asnumpy()
filters_grad_val = filters_grad_val.asnumpy()
filters_val = filters_val - aph * filters_grad_val
filters_val = ndarray.array(filters_val, ctx)
print("loss_val:",loss_val.asnumpy())
print("filters_val:",filters_val.asnumpy())
def test_convolution_2d_forward_op():
inputs = ad.Variable("inputs")
filters = ad.Variable("filters")
y_ = ad.Variable(name="y_")
#ini
ctx = ndarray.gpu(0)
x_val = np.linspace(0,100,80).reshape((5,1,4,4))
filters_val = np.ones((1,1,3,3))*0.001
y_val = np.zeros((5,1))
x_val = ndarray.array(x_val,ctx)
filters_val = ndarray.array(filters_val,ctx)
y_val = ndarray.array(y_val, ctx)
outputs = ad.convolution_2d_forward_op(inputs, filters, "NCHW", "VALID",1,1)
outputs_pool = ad.pooling_2d_forward_op(outputs,"NCHW","max",0,0,1,1,2,2)
outputs_relu = ad.activation_forward_op(outputs_pool,"NCHW","relu")
outputs_f = ad.flatten_op(outputs_relu)
loss = ad.matmul_op(outputs_f, outputs_f, trans_A=True) *(1/5)
grad_inputs,grad_f = ad.gradients(loss, [inputs,filters])
executor = ad.Executor([loss, grad_f],ctx=ctx)
aph = 1.0e-6
for i in range(20):
loss_val, filters_grad_val = executor.run(feed_dict={inputs: x_val,filters:filters_val})
filters_val = filters_val.asnumpy()
filters_grad_val = filters_grad_val.asnumpy()
filters_val = filters_val - aph * filters_grad_val
filters_val = ndarray.array(filters_val, ctx)
print("loss_val:",loss_val.asnumpy())
print("filters_val:",filters_val.asnumpy())
def test_convolution_3d_forward_op():
inputs = ad.Variable("inputs")
filters = ad.Variable("filters")
y_ = ad.Variable(name="y_")
#ini
ctx = ndarray.gpu(0)
x_val = np.linspace(0,100,135).reshape((5,1,3,3,3))
filters_val = np.ones((1,1,2,2,2))*0.001
y_val = np.zeros((5,1))
x_val = ndarray.array(x_val,ctx)
filters_val = ndarray.array(filters_val,ctx)
y_val = ndarray.array(y_val, ctx)
outputs = ad.convolution_3d_forward_op(inputs, filters, "NCHW", "VALID",1,1,1)
outputs_pool = ad.pooling_3d_forward_op(outputs,"NCHW","max",0,0,0,1,1,1,2,2,2)
outputs_relu = ad.activation_forward_op(outputs_pool,"NCHW","relu")
outputs_dro = ad.dropout_forward_op(outputs_relu,"NCHW",0.5,0)
outputs_f = ad.flatten_op(outputs_dro)
loss = ad.matmul_op(outputs_f, outputs_f, trans_A=True) *(1/5)
grad_inputs,grad_f = ad.gradients(loss, [inputs,filters])
executor = ad.Executor([loss, grad_f],ctx=ctx)
aph = 1.0e-6
for i in range(20):
loss_val, filters_grad_val = executor.run(feed_dict={inputs: x_val,filters:filters_val})
filters_val = filters_val.asnumpy()
filters_grad_val = filters_grad_val.asnumpy()
filters_val = filters_val - aph * filters_grad_val
filters_val = ndarray.array(filters_val, ctx)
print("loss_val:",loss_val.asnumpy())
print("filters_val:",filters_val.asnumpy())
def test_sigmoid_conv_1d():
inputs = ad.Variable("inputs")
filters = ad.Variable("filters")
y_ = ad.Variable(name="y_")
# ini
ctx = ndarray.gpu(0)
x_val = np.linspace(0, 100, 80).reshape((5, 1, 4, 4))
filters_val = np.ones((1, 1, 3, 3)) * 0.001
y_val = np.zeros((5, 1))
x_val = ndarray.array(x_val, ctx)
filters_val = ndarray.array(filters_val, ctx)
y_val = ndarray.array(y_val, ctx)
outputs = ad.convolution_2d_forward_op(inputs, filters, "NCHW", "VALID", 1, 1)
# outputs_pool = ad.pooling_2d_forward_op(outputs, "NCHW", "max", 0, 0, 1, 1, 2, 2)
outputs_relu = ad.activation_forward_op(outputs, "NCHW", "relu")
executor = ad.Executor([outputs_relu],ctx=ctx)
loss_val= executor.run(feed_dict={inputs: x_val,filters:filters_val})
print("loss_val:",loss_val[0].asnumpy())
def test_full_forward_op():
inputs = ad.Variable("inputs")
filters = ad.Variable("filters")
y_ = ad.Variable(name="y_")
#ini
ctx = ndarray.gpu(0)
x_val = np.linspace(0,100,100).reshape((5,1,20))
filters_val = np.ones((1,1,20))*0.001
y_val = np.zeros((5,1))
x_val = ndarray.array(x_val,ctx)
filters_val = ndarray.array(filters_val,ctx)
y_val = ndarray.array(y_val, ctx)
outputs = ad.convolution_1d_forward_op(inputs, filters, "NCHW", "VALID", 1)
outputs_pool = ad.pooling_1d_forward_op(outputs,"NCHW","max",0,1,1)
outputs_relu = ad.activation_forward_op(outputs_pool,"NCHW","relu")
outputs_f = ad.flatten_op(outputs_relu)
output=ad.fullyactivation_forward_op(outputs_f,"NCHW","relu")
loss = ad.matmul_op(output, output, trans_A=True) * (1 / 5)
grad_f = ad.gradients(loss,[filters])#gra返回一个list
executor = ad.Executor([grad_f[0]],ctx=ctx)
g_val = executor.run(feed_dict={inputs: x_val,filters:filters_val})#返回一个list
print("g_val:", g_val[0].asnumpy())
def test_exp_log_reverse_pow():
inputs = ad.Variable("inputs")
filters = ad.Variable("filters")
y_ = ad.Variable(name="y_")
# ini
ctx = ndarray.gpu(0)
x_val = np.linspace(0, 100, 80).reshape((5, 1, 4, 4))
filters_val = np.ones((1, 1, 3, 3)) * 0.001
y_val = np.zeros((5, 1))
x_val = ndarray.array(x_val, ctx)
filters_val = ndarray.array(filters_val, ctx)
y_val = ndarray.array(y_val, ctx)
#outputs = ad.exp_op(inputs)
#outputs = ad.log_op(inputs)
#outputs = ad.reverse_op(inputs)
outputs = ad.pow_op(inputs,2)
grad_out = ad.gradients(outputs, [inputs])
executor = ad.Executor([outputs,grad_out[0]], ctx=ctx)
result= executor.run(feed_dict={inputs: filters_val})
print(result[0].asnumpy())
print(result[1].asnumpy())
def test_reduce_sum():
inputs = ad.Variable("inputs")
ctx = ndarray.gpu(0)
shape = (3,2,3)
x = np.random.uniform(0, 20, shape).astype(np.float32)
arr_x = ndarray.array(x, ctx=ctx)
outputs = ad.reduce_sum_op(inputs,1)
f_out = ad.pow_op(outputs,2)
grad_out = ad.gradients(f_out, [inputs])
executor = ad.Executor([outputs,f_out , grad_out[0]], ctx=ctx)
result = executor.run(feed_dict={inputs: arr_x})
print(arr_x.asnumpy())
print(result[0].asnumpy())
print(result[1].asnumpy())
print(result[2].asnumpy())
def test_reduce_mean():
inputs = ad.Variable("inputs")
ctx = ndarray.gpu(0)
shape = (2,2,3)
x = np.random.uniform(0, 20, shape).astype(np.float32)
arr_x = ndarray.array(x, ctx=ctx)
outputs = ad.reduce_mean_op(inputs,1)
f_out = ad.pow_op(outputs,2)
grad_out = ad.gradients(f_out, [inputs])
executor = ad.Executor([outputs,f_out , grad_out[0]], ctx=ctx)
result = executor.run(feed_dict={inputs: arr_x})
print(arr_x.asnumpy())
print(result[0].asnumpy())
print(result[1].asnumpy())
print(result[2].asnumpy())
def test_l1_l2_cross_loss():
inputs = ad.Variable("inputs")
filters = ad.Variable("filters")
y_ = ad.Variable(name="y_")
# ini
ctx = ndarray.gpu(0)
x_val = np.ones((5,2))*0.5
filters_val = np.ones((2, 2, 10)) * 0.001
y_val = np.ones((5,2))
x_val = ndarray.array(x_val, ctx)
filters_val = ndarray.array(filters_val, ctx)
y_val = ndarray.array(y_val, ctx)
# loss = ad.crossEntropy_op(inputs, y_)
loss = ad.l1loss_op(inputs, y_)
grad_f = ad.gradients(loss, [inputs,y_]) # gra返回一个list
executor = ad.Executor([loss,grad_f[0],grad_f[1]], ctx=ctx)
g_val = executor.run(feed_dict={inputs: x_val, y_: y_val}) # 返回一个list
print("g_val:", g_val[0].asnumpy())
print("g_val:", g_val[1].asnumpy())
print("g_val:", g_val[2].asnumpy())
def test_l1_l2_regular():
inputs2 = ad.Variable("X2")
y_ = ad.Placeholder("y_")
# ini
x_val = np.ones((10,2))*4
y_val = np.ones((5, 2)) * 0.1
a = ad.l1regular_op(inputs2)
aph = 0.001
t = train.Adam_minimize(a, aph)
t.init_Variable({inputs2: x_val})
valid_y_predicted = t.run_get_nodelist_once({ y_: y_val},[a])[a].asnumpy()
print(valid_y_predicted)
def test_concat():
inputs1 = ad.Placeholder("X1")
inputs2 = ad.Variable("X2")
y_ = ad.Placeholder("y_")
# ini
ctx = ndarray.gpu(0)
x_val1 = np.linspace(2, 20, 10).reshape((5, 2)) * 0.5
x_val2 = np.ones((5, 3)) * 0.1
y_val=np.ones((5,5))*0.1
a = ad.concat_forward_op(inputs1, inputs2)
loss = ad.softmaxcrossentropy_op(a, y_)
aph = 0.001
t = train.Adam_minimize(loss, aph)
t.init_Variable({inputs2: x_val2})
valid_y_predicted = t.run_get_nodelist_once({inputs1: x_val1,y_:y_val},[a])[a].asnumpy()
print(valid_y_predicted)
test_concat()
#test_lr()
# test_identity()
# test_add_by_const()
# test_mul_by_const()
# test_add_two_vars()
# test_mul_two_vars()
# test_add_mul_mix_1()
# test_add_mul_mix_2()
# test_add_mul_mix_3()
# test_grad_of_grad()
# test_matmul_two_vars()
#test_full_forward_op()
#test_sigmoid_conv_1d()
# =============not implement yet====================
# test_exp()
# test_exp_grad()
#test_full_forward_op()
#test_full_forward_op()
#test_exp_log_reverse_pow()
#test_reduce_sum()
#test_reduce_mean()
# test_convolution_1d_forward_op()
# test_convolution_2d_forward_op()
# test_convolution_3d_forward_op()
# test_l1_l2_cross_loss()
# test_l1_l2_regular()
# test_concat()
| 31.747126
| 111
| 0.65646
| 3,300
| 19,334
| 3.55303
| 0.05
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| 0.03548
| 0.049126
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| 0.784733
| 0.74209
| 0.70968
| 0.679829
| 0.654755
| 0
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| 0.190597
| 19,334
| 609
| 112
| 31.747126
| 0.698575
| 0.057619
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| 0.100239
| 1
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| 0.011933
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| 0.069212
| 0.066826
| 0
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| null | 0
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| 1
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| 1
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| 0
| 0
| 0
|
0
| 5
|
3b0e593188304a562ee695aad90eb0041fcdd4ae
| 112
|
py
|
Python
|
utils/__init__.py
|
valschneider/lauzhack2017
|
36fe0bb043165fa788a28863298332d70a95a57a
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
valschneider/lauzhack2017
|
36fe0bb043165fa788a28863298332d70a95a57a
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
valschneider/lauzhack2017
|
36fe0bb043165fa788a28863298332d70a95a57a
|
[
"MIT"
] | null | null | null |
from abstract_keyboard import KeyData, AbstractKeyboard, Colours
from physical_keyboard import PhysicalKeyboard
| 37.333333
| 64
| 0.892857
| 12
| 112
| 8.166667
| 0.75
| 0.285714
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| 112
| 2
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| 56
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| 0
|
0
| 5
|
3b3377ab3bbbbe4087d48dd851a3fad3ecbb9f4d
| 7,284
|
py
|
Python
|
tests/unit/orders/manual/test_manual_sell_orders.py
|
dastra/hargreaves-sdk-python
|
8099d775c6a70ac415690c0322fe1b964356f6ff
|
[
"MIT"
] | null | null | null |
tests/unit/orders/manual/test_manual_sell_orders.py
|
dastra/hargreaves-sdk-python
|
8099d775c6a70ac415690c0322fe1b964356f6ff
|
[
"MIT"
] | null | null | null |
tests/unit/orders/manual/test_manual_sell_orders.py
|
dastra/hargreaves-sdk-python
|
8099d775c6a70ac415690c0322fe1b964356f6ff
|
[
"MIT"
] | null | null | null |
import http
from pathlib import Path
from urllib.parse import urlencode
from hargreaves.search.models import InvestmentCategoryTypes
from hargreaves.session.mocks import MockSessionClient
from hargreaves.orders.manual.clients import ManualOrderClient
from hargreaves.orders.manual.models import ManualOrder, ManualOrderConfirmation, ManualOrderPosition
from hargreaves.orders.manual.parsers import parse_manual_order_confirmation_page
from hargreaves.orders.models import OrderPositionType, OrderAmountType
from hargreaves.utils import clock
from hargreaves.utils.logs import LogHelper
from requests_tracker.mocks import MockWebSession
LogHelper.configure_std_out()
clock.freeze_time()
def test_parse_manual_sell_order_confirmation_uk_equity_ok():
confirm_html = Path(Path(__file__).parent / 'files/sell/manual-sell-order-confirmation-uk-equity.html') \
.read_text()
order_confirmation = parse_manual_order_confirmation_page(confirm_html=confirm_html,
amount_type=OrderAmountType.Quantity)
assert order_confirmation.order_date.strftime('%d/%m/%Y') == '21/03/2022'
assert order_confirmation.stock_code == 'PDG'
assert order_confirmation.quantity == 100.0
assert order_confirmation.order_type == 'Sell'
assert order_confirmation.limit_price is None
assert order_confirmation.order_status == 'Pending'
def test_parse_manual_sell_order_confirmation_us_equity_ok():
confirm_html = Path(Path(__file__).parent / 'files/sell/manual-sell-order-confirmation-us-equity.html') \
.read_text()
order_confirmation = parse_manual_order_confirmation_page(confirm_html=confirm_html,
amount_type=OrderAmountType.Quantity)
assert order_confirmation.order_date.strftime('%d/%m/%Y') == '23/03/2022'
assert order_confirmation.stock_code == 'TUSK'
assert order_confirmation.quantity == 500.0
assert order_confirmation.order_type == 'Sell'
assert order_confirmation.limit_price == 1.9
assert order_confirmation.order_status == 'Pending'
def test_submit_manual_sell_order_confirmation_uk_equity():
confirm_html = Path(Path(__file__).parent / 'files/sell/manual-sell-order-confirmation-uk-equity.html') \
.read_text()
current_position = ManualOrderPosition(
hl_vt="1601575001",
security_type="equity",
out_of_hours=True,
sedol="B1JQBT1",
account_id=70,
available=179681.27,
holding=300,
holding_value=77.40,
transfer_units=0,
remaining_units=300,
remaining_units_value=77.40,
isin="GB00B1JQBT10",
epic="",
currency_code="GBX",
SD_Bid=0.00,
SD_Ask=0.00,
fixed_interest=False,
category_code=InvestmentCategoryTypes.EQUITIES
)
order = ManualOrder(
position=current_position,
position_type=OrderPositionType.Sell,
amount_type=OrderAmountType.Quantity,
quantity=100,
limit=None,
earmark_orders_confirm=False)
with MockWebSession() as web_session:
expected_params = {
'hl_vt': "1601575001",
'type': "equity",
'out_of_hours': "1",
'sedol': "B1JQBT1",
'product_no': "70",
'available': "179681.27",
'holding': "300",
'holding_value': "77.4",
'transfer_units': "0.0000",
'remaining_units': "300",
'remaining_units_value': "77.4",
'isin': "GB00B1JQBT10",
'epic': "",
'currency_code': "GBX",
'SD_Bid': "0.00",
'SD_Ask': "0.00",
'fixed_interest': "0",
'bs': "Sell",
'quantity': "100",
'qs': "quantity",
'limit': "",
'earmark_orders_confirm': "false",
}
mock = web_session.mock_post(
url='https://online.hl.co.uk/my-accounts/manual_deal',
headers={
'Referer': f'https://online.hl.co.uk/my-accounts/security_deal/sedol/{order.sedol}'
},
response_text=confirm_html,
status_code=http.HTTPStatus.OK
)
session_client = MockSessionClient()
client = ManualOrderClient(session_client)
order_confirmation = client.submit_order(web_session=web_session, order=order)
actual_param = mock.request_history[0].text
assert urlencode(expected_params) == actual_param
assert type(order_confirmation) == ManualOrderConfirmation
assert session_client.was_called is True
def test_submit_manual_sell_order_confirmation_us_equity():
confirm_html = Path(Path(__file__).parent / 'files/sell/manual-sell-order-confirmation-us-equity.html') \
.read_text()
current_position = ManualOrderPosition(
hl_vt="1496180636",
security_type="equity",
out_of_hours=True,
sedol="BDBFK59",
account_id=70,
available=164629.62,
holding=7635,
holding_value=11093.562582535,
transfer_units=0,
remaining_units=7635,
remaining_units_value=11093.562582535,
isin="US56155L1089",
epic="",
currency_code="USD",
SD_Bid=0.00,
SD_Ask=0.00,
fixed_interest=False,
category_code=InvestmentCategoryTypes.OVERSEAS
)
order = ManualOrder(
position=current_position,
position_type=OrderPositionType.Sell,
amount_type=OrderAmountType.Value,
quantity=500,
limit=1.9,
earmark_orders_confirm=False)
with MockWebSession() as web_session:
expected_params = {
'hl_vt': "1496180636",
'type': "equity",
'out_of_hours': "1",
'sedol': "BDBFK59",
'product_no': "70",
'available': "164629.62",
'holding': "7635",
'holding_value': "11093.562582535",
'transfer_units': "0.0000",
'remaining_units': "7635",
'remaining_units_value': "11093.562582535",
'isin': "US56155L1089",
'epic': "",
'currency_code': "USD",
'SD_Bid': "0.00",
'SD_Ask': "0.00",
'fixed_interest': "0",
'bs': "Sell",
'quantity': "500",
'qs': "value",
'limit': "1.9",
'earmark_orders_confirm': "false",
}
mock = web_session.mock_post(
url='https://online.hl.co.uk/my-accounts/manual_deal_overseas',
headers={
'Referer': f'https://online.hl.co.uk/my-accounts/security_deal/sedol/{order.sedol}'
},
response_text=confirm_html,
status_code=http.HTTPStatus.OK
)
session_client = MockSessionClient()
client = ManualOrderClient(session_client)
order_confirmation = client.submit_order(web_session=web_session, order=order)
actual_param = mock.request_history[0].text
assert urlencode(expected_params) == actual_param
assert type(order_confirmation) == ManualOrderConfirmation
assert session_client.was_called is True
| 35.705882
| 109
| 0.62905
| 771
| 7,284
| 5.661479
| 0.214008
| 0.112944
| 0.06323
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| 0.803207
| 0.792669
| 0.785796
| 0.702864
| 0.663918
| 0.626804
| 0
| 0.055432
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| 7,284
| 203
| 110
| 35.881773
| 0.75651
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| 0.042559
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| 0.102273
| 1
| 0.022727
| false
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| 0.068182
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| 0
| 0
|
0
| 5
|
3b399f0d24af2651e241a2dbc09d0bd6f463382a
| 119
|
py
|
Python
|
campus_app/admin.py
|
VSSantana/APP-Campus-Online-v5.0
|
19e74832527e5a3beb479d4fe8a595caa319f914
|
[
"MIT"
] | 1
|
2021-04-12T13:34:00.000Z
|
2021-04-12T13:34:00.000Z
|
campus_app/admin.py
|
VSSantana/APP-Campus-Online-v5.0
|
19e74832527e5a3beb479d4fe8a595caa319f914
|
[
"MIT"
] | 19
|
2021-05-14T20:56:29.000Z
|
2022-02-10T11:59:33.000Z
|
APP-Campus-Online-v6.0/campus_app/admin.py
|
Benedito-Medeiros-Neto-UnB/TacProgWeb
|
c7d795a69524e428988d4ed796f4a1c2ded035e3
|
[
"MIT"
] | 10
|
2021-05-13T16:18:53.000Z
|
2021-11-08T14:30:08.000Z
|
from django.contrib import admin
from .models import Noticia
# Register your models here.
admin.site.register(Noticia)
| 23.8
| 32
| 0.815126
| 17
| 119
| 5.705882
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| 119
| 5
| 33
| 23.8
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3b489c9ebfe89f6bd772777f5f5df11e70f892e2
| 26,402
|
py
|
Python
|
gmusicapi/metadata_pb2.py
|
antimatter15/Unofficial-Google-Music-API
|
4c7531dc49d17f421ec542aec0a43d4fdf5b5acc
|
[
"BSD-3-Clause"
] | 1
|
2016-11-01T15:24:21.000Z
|
2016-11-01T15:24:21.000Z
|
gmusicapi/metadata_pb2.py
|
odiroot/Unofficial-Google-Music-API
|
d192908ec636c4a252ffe232d873924eb56e47df
|
[
"BSD-3-Clause"
] | null | null | null |
gmusicapi/metadata_pb2.py
|
odiroot/Unofficial-Google-Music-API
|
d192908ec636c4a252ffe232d873924eb56e47df
|
[
"BSD-3-Clause"
] | 1
|
2018-04-05T18:37:35.000Z
|
2018-04-05T18:37:35.000Z
|
# Generated by the protocol buffer compiler. DO NOT EDIT!
from google.protobuf import descriptor
from google.protobuf import message
from google.protobuf import reflection
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
DESCRIPTOR = descriptor.FileDescriptor(
name='metadata.proto',
package='',
serialized_pb='\n\x0emetadata.proto\"\xa3\x03\n\x05Track\x12\n\n\x02id\x18\x02 \x01(\t\x12\x10\n\x08\x63reation\x18\x03 \x01(\x05\x12\x12\n\nlastPlayed\x18\x04 \x01(\x05\x12\r\n\x05title\x18\x06 \x01(\t\x12\x0e\n\x06\x61rtist\x18\x07 \x01(\t\x12\x10\n\x08\x63omposer\x18\x08 \x01(\t\x12\r\n\x05\x61lbum\x18\t \x01(\t\x12\x13\n\x0b\x61lbumArtist\x18\n \x01(\t\x12\x0c\n\x04year\x18\x0b \x01(\x05\x12\x0f\n\x07\x63omment\x18\x0c \x01(\t\x12\r\n\x05track\x18\r \x01(\x05\x12\r\n\x05genre\x18\x0e \x01(\t\x12\x10\n\x08\x64uration\x18\x0f \x01(\x05\x12\x16\n\x0e\x62\x65\x61tsPerMinute\x18\x10 \x01(\x05\x12\x11\n\tplayCount\x18\x14 \x01(\x05\x12\x13\n\x0btotalTracks\x18\x1a \x01(\x05\x12\x0c\n\x04\x64isc\x18\x1b \x01(\x05\x12\x12\n\ntotalDiscs\x18\x1c \x01(\x05\x12\x0b\n\x03u11\x18\x1f \x01(\x05\x12\x10\n\x08\x66ileSize\x18 \x01(\x05\x12\x0b\n\x03u13\x18% \x01(\x05\x12\x0b\n\x03u14\x18& \x01(\x05\x12\x0f\n\x07\x62itrate\x18, \x01(\x05\x12\x0b\n\x03u15\x18\x35 \x01(\t\x12\x0b\n\x03u16\x18= \x01(\x05\":\n\x0fMetadataRequest\x12\x16\n\x06tracks\x18\x01 \x03(\x0b\x32\x06.Track\x12\x0f\n\x07\x61\x64\x64ress\x18\x02 \x01(\t\"8\n\x0cQueuedUpload\x12\n\n\x02id\x18\x01 \x01(\t\x12\n\n\x02u0\x18\x02 \x01(\x05\x12\x10\n\x08serverId\x18\x03 \x01(\t\"P\n\x06Status\x12\n\n\x02u0\x18\x01 \x01(\x05\x12\n\n\x02u1\x18\x02 \x01(\x05\x12\n\n\x02u2\x18\x03 \x01(\x05\x12\n\n\x02u3\x18\x04 \x01(\x05\x12\n\n\x02u4\x18\x05 \x01(\x05\x12\n\n\x02u5\x18\x06 \x01(\x05\"<\n\rTrackResponse\x12\x0b\n\x03ids\x18\x02 \x03(\t\x12\x1e\n\x07uploads\x18\x03 \x03(\x0b\x32\r.QueuedUpload\"X\n\x10MetadataResponse\x12\n\n\x02u0\x18\x01 \x01(\x05\x12 \n\x08response\x18\x02 \x01(\x0b\x32\x0e.TrackResponse\x12\x16\n\x05state\x18\x06 \x01(\x0b\x32\x07.Status\"/\n\nUploadAuth\x12\x0f\n\x07\x61\x64\x64ress\x18\x01 \x01(\t\x12\x10\n\x08hostname\x18\x02 \x01(\t\"L\n\x05Quota\x12\x15\n\rmaximumTracks\x18\x01 \x01(\x05\x12\x17\n\x0f\x61vailableTracks\x18\x02 \x01(\x05\x12\x13\n\x0btotalTracks\x18\x03 \x01(\x05\"\x1e\n\x0b\x43lientState\x12\x0f\n\x07\x61\x64\x64ress\x18\x01 \x01(\t\"Q\n\x13\x43lientStateResponse\x12\n\n\x02u0\x18\x01 \x01(\x05\x12\x17\n\x06status\x18\x06 \x01(\x0b\x32\x07.Status\x12\x15\n\x05quota\x18\x08 \x01(\x0b\x32\x06.Quota\"Q\n\x12UploadAuthResponse\x12\n\n\x02u0\x18\x01 \x01(\x05\x12\x17\n\x06status\x18\x06 \x01(\x0b\x32\x07.Status\x12\n\n\x02u1\x18\x0b \x01(\x05\x12\n\n\x02u2\x18\x0c \x01(\x05')
_TRACK = descriptor.Descriptor(
name='Track',
full_name='Track',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='id', full_name='Track.id', index=0,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='creation', full_name='Track.creation', index=1,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='lastPlayed', full_name='Track.lastPlayed', index=2,
number=4, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='title', full_name='Track.title', index=3,
number=6, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='artist', full_name='Track.artist', index=4,
number=7, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='composer', full_name='Track.composer', index=5,
number=8, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='album', full_name='Track.album', index=6,
number=9, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='albumArtist', full_name='Track.albumArtist', index=7,
number=10, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='year', full_name='Track.year', index=8,
number=11, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='comment', full_name='Track.comment', index=9,
number=12, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='track', full_name='Track.track', index=10,
number=13, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='genre', full_name='Track.genre', index=11,
number=14, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='duration', full_name='Track.duration', index=12,
number=15, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='beatsPerMinute', full_name='Track.beatsPerMinute', index=13,
number=16, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='playCount', full_name='Track.playCount', index=14,
number=20, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='totalTracks', full_name='Track.totalTracks', index=15,
number=26, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='disc', full_name='Track.disc', index=16,
number=27, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='totalDiscs', full_name='Track.totalDiscs', index=17,
number=28, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u11', full_name='Track.u11', index=18,
number=31, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='fileSize', full_name='Track.fileSize', index=19,
number=32, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u13', full_name='Track.u13', index=20,
number=37, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u14', full_name='Track.u14', index=21,
number=38, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='bitrate', full_name='Track.bitrate', index=22,
number=44, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u15', full_name='Track.u15', index=23,
number=53, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u16', full_name='Track.u16', index=24,
number=61, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=19,
serialized_end=438,
)
_METADATAREQUEST = descriptor.Descriptor(
name='MetadataRequest',
full_name='MetadataRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='tracks', full_name='MetadataRequest.tracks', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='address', full_name='MetadataRequest.address', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=440,
serialized_end=498,
)
_QUEUEDUPLOAD = descriptor.Descriptor(
name='QueuedUpload',
full_name='QueuedUpload',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='id', full_name='QueuedUpload.id', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u0', full_name='QueuedUpload.u0', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='serverId', full_name='QueuedUpload.serverId', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=500,
serialized_end=556,
)
_STATUS = descriptor.Descriptor(
name='Status',
full_name='Status',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='u0', full_name='Status.u0', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u1', full_name='Status.u1', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u2', full_name='Status.u2', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u3', full_name='Status.u3', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u4', full_name='Status.u4', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u5', full_name='Status.u5', index=5,
number=6, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=558,
serialized_end=638,
)
_TRACKRESPONSE = descriptor.Descriptor(
name='TrackResponse',
full_name='TrackResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='ids', full_name='TrackResponse.ids', index=0,
number=2, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='uploads', full_name='TrackResponse.uploads', index=1,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=640,
serialized_end=700,
)
_METADATARESPONSE = descriptor.Descriptor(
name='MetadataResponse',
full_name='MetadataResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='u0', full_name='MetadataResponse.u0', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='response', full_name='MetadataResponse.response', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='state', full_name='MetadataResponse.state', index=2,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=702,
serialized_end=790,
)
_UPLOADAUTH = descriptor.Descriptor(
name='UploadAuth',
full_name='UploadAuth',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='address', full_name='UploadAuth.address', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='hostname', full_name='UploadAuth.hostname', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=792,
serialized_end=839,
)
_QUOTA = descriptor.Descriptor(
name='Quota',
full_name='Quota',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='maximumTracks', full_name='Quota.maximumTracks', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='availableTracks', full_name='Quota.availableTracks', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='totalTracks', full_name='Quota.totalTracks', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=841,
serialized_end=917,
)
_CLIENTSTATE = descriptor.Descriptor(
name='ClientState',
full_name='ClientState',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='address', full_name='ClientState.address', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=919,
serialized_end=949,
)
_CLIENTSTATERESPONSE = descriptor.Descriptor(
name='ClientStateResponse',
full_name='ClientStateResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='u0', full_name='ClientStateResponse.u0', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='status', full_name='ClientStateResponse.status', index=1,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='quota', full_name='ClientStateResponse.quota', index=2,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=951,
serialized_end=1032,
)
_UPLOADAUTHRESPONSE = descriptor.Descriptor(
name='UploadAuthResponse',
full_name='UploadAuthResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='u0', full_name='UploadAuthResponse.u0', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='status', full_name='UploadAuthResponse.status', index=1,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u1', full_name='UploadAuthResponse.u1', index=2,
number=11, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='u2', full_name='UploadAuthResponse.u2', index=3,
number=12, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=1034,
serialized_end=1115,
)
_METADATAREQUEST.fields_by_name['tracks'].message_type = _TRACK
_TRACKRESPONSE.fields_by_name['uploads'].message_type = _QUEUEDUPLOAD
_METADATARESPONSE.fields_by_name['response'].message_type = _TRACKRESPONSE
_METADATARESPONSE.fields_by_name['state'].message_type = _STATUS
_CLIENTSTATERESPONSE.fields_by_name['status'].message_type = _STATUS
_CLIENTSTATERESPONSE.fields_by_name['quota'].message_type = _QUOTA
_UPLOADAUTHRESPONSE.fields_by_name['status'].message_type = _STATUS
class Track(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _TRACK
# @@protoc_insertion_point(class_scope:Track)
class MetadataRequest(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _METADATAREQUEST
# @@protoc_insertion_point(class_scope:MetadataRequest)
class QueuedUpload(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _QUEUEDUPLOAD
# @@protoc_insertion_point(class_scope:QueuedUpload)
class Status(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _STATUS
# @@protoc_insertion_point(class_scope:Status)
class TrackResponse(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _TRACKRESPONSE
# @@protoc_insertion_point(class_scope:TrackResponse)
class MetadataResponse(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _METADATARESPONSE
# @@protoc_insertion_point(class_scope:MetadataResponse)
class UploadAuth(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _UPLOADAUTH
# @@protoc_insertion_point(class_scope:UploadAuth)
class Quota(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _QUOTA
# @@protoc_insertion_point(class_scope:Quota)
class ClientState(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _CLIENTSTATE
# @@protoc_insertion_point(class_scope:ClientState)
class ClientStateResponse(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _CLIENTSTATERESPONSE
# @@protoc_insertion_point(class_scope:ClientStateResponse)
class UploadAuthResponse(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _UPLOADAUTHRESPONSE
# @@protoc_insertion_point(class_scope:UploadAuthResponse)
# @@protoc_insertion_point(module_scope)
| 37.609687
| 2,401
| 0.715703
| 3,498
| 26,402
| 5.182104
| 0.074614
| 0.07635
| 0.064545
| 0.05958
| 0.75451
| 0.713245
| 0.662051
| 0.646715
| 0.645281
| 0.645281
| 0
| 0.054538
| 0.152034
| 26,402
| 701
| 2,402
| 37.663338
| 0.755137
| 0.026059
| 0
| 0.705512
| 1
| 0.001575
| 0.152691
| 0.101949
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.006299
| 0
| 0.058268
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
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| 0
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| 0
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| null | 0
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|
0
| 5
|
3b5ebc48c31589e68720d58ebad1837a1abc4854
| 19,172
|
py
|
Python
|
src/Common/Constants.py
|
rpgauthier/ComputationalThematicAnalysisToolkit
|
b615cd92565dcc197f156c0b792fec6892ffe9a4
|
[
"MIT"
] | null | null | null |
src/Common/Constants.py
|
rpgauthier/ComputationalThematicAnalysisToolkit
|
b615cd92565dcc197f156c0b792fec6892ffe9a4
|
[
"MIT"
] | 24
|
2021-11-15T17:07:31.000Z
|
2022-02-09T22:38:50.000Z
|
src/Common/Constants.py
|
rpgauthier/ComputationalThematicAnalysisToolkit
|
b615cd92565dcc197f156c0b792fec6892ffe9a4
|
[
"MIT"
] | null | null | null |
'''Constants for MachineThematicAnalysis Toolkit'''
import sys
import os
import shutil
import platform
import wx
#import wx.lib.agw.flatnotebook as FNB
import External.wxPython.flatnotebook_fix as FNB
CUR_VER = '0.8.11'
#Variables to configure GUI
FNB_STYLE = FNB.FNB_DEFAULT_STYLE|FNB.FNB_HIDE_ON_SINGLE_TAB|FNB.FNB_NO_X_BUTTON|FNB.FNB_FF2
DATETIME_FORMAT = '%Y-%m-%d %H:%M:%S'
DATE_FORMAT = '%Y-%m-%d'
if getattr(sys, 'frozen', False):
# this is a Pyinstaller bundle
ROOT_PATH = sys._MEIPASS
else:
# normal python process
ROOT_PATH = os.getcwd()
FONTS_PATH = os.path.join(ROOT_PATH, 'Fonts')
IMAGES_PATH = os.path.join(ROOT_PATH, 'Images')
XSD_PATH = os.path.join(ROOT_PATH, 'External/XSD')
SAVE_DATA_PATH = os.path.realpath(os.path.expanduser('~/Documents/ComputationalThematicAnalysisToolkit.nosync'))
old_SAVE_DATA_PATH = os.path.realpath(os.path.expanduser('~/Documents/ComputationalThematicAnalysisToolkit'))
if not os.path.exists(SAVE_DATA_PATH):
if os.path.exists(old_SAVE_DATA_PATH):
os.rename(old_SAVE_DATA_PATH, SAVE_DATA_PATH)
else:
os.makedirs(SAVE_DATA_PATH)
if platform.system() == 'Windows':
APP_DATA_PATH = os.path.realpath(os.path.expanduser('~/AppData/Local/ComputationalThematicAnalysisToolkit'))
else:
APP_DATA_PATH = os.path.realpath(os.path.expanduser('~/Library/ComputationalThematicAnalysisToolkit'))
if not os.path.exists(APP_DATA_PATH):
os.makedirs(APP_DATA_PATH)
SAVED_WORKSPACES_PATH = os.path.realpath(os.path.join(SAVE_DATA_PATH, 'Saved_Workspaces'))
if not os.path.exists(SAVED_WORKSPACES_PATH):
os.makedirs(SAVED_WORKSPACES_PATH)
DATA_PATH = os.path.realpath(os.path.join(SAVE_DATA_PATH, 'Data'))
if not os.path.exists(DATA_PATH):
old_DATA = os.path.realpath(os.path.join(APP_DATA_PATH, 'Data'))
if os.path.exists(old_DATA):
shutil.move(old_DATA, SAVE_DATA_PATH)
else:
os.makedirs(DATA_PATH)
CURRENT_WORKSPACE_PATH = os.path.realpath(os.path.join(APP_DATA_PATH, 'Current_Workspace'))
old_CURRENT_WORKSPACE = os.path.realpath(os.path.join(SAVE_DATA_PATH, 'Current_Workspace'))
if not os.path.exists(CURRENT_WORKSPACE_PATH):
if os.path.exists(old_CURRENT_WORKSPACE):
shutil.move(old_CURRENT_WORKSPACE, APP_DATA_PATH)
else:
os.makedirs(CURRENT_WORKSPACE_PATH)
AUTOSAVE_PATH = os.path.realpath(os.path.join(CURRENT_WORKSPACE_PATH, 'AutoSave'))
LOG_PATH = os.path.realpath(os.path.join(APP_DATA_PATH, 'Logs'))
old_LOG = os.path.realpath(os.path.join(SAVE_DATA_PATH, 'Logs'))
if not os.path.exists(LOG_PATH):
if os.path.exists(old_LOG):
shutil.move(old_LOG, APP_DATA_PATH)
else:
os.makedirs(LOG_PATH)
#Menu Options
# removed to use built in id generator wx.ID_ANY
#Module Specific Variables
##Filtering
TOKEN_TEXT_IDX = 0
TOKEN_STEM_IDX = 1
TOKEN_LEMMA_IDX = 2
TOKEN_POS_IDX = 3
TOKEN_SPACY_STOPWORD_IDX = 4
TOKEN_TEXT_TFIDF_IDX = 5
TOKEN_STEM_TFIDF_IDX = 6
TOKEN_LEMMA_TFIDF_IDX = 7
TOKEN_ENTRIES = 'entries'
TOKEN_WORDS = 'words'
TOKEN_POS = 'pos'
TOKEN_NUM_WORDS = 'num_of_words'
TOKEN_PER_WORDS = 'per_of_words'
TOKEN_NUM_DOCS = 'num_of_docs'
TOKEN_PER_DOCS = 'per_of_docs'
TOKEN_SPACY_STOPWORD = 'spacy_stopword'
TOKEN_REMOVE_FLG = 'removed_flg'
TOKEN_TFIDF = 'tfidf_range'
FILTER_RULE_ANY = '<ANY>'
FILTER_RULE_REMOVE = 'remove'
FILTER_RULE_INCLUDE = 'include'
FILTER_RULE_REMOVE_SPACY_AUTO_STOPWORDS = 'remove spacy auto stopwords'
FILTER_RULE_INCLUDE_SPACY_AUTO_STOPWORDS = 'include spacy auto stopwords'
FILTER_TFIDF_REMOVE = 'remove tokens where their tfidf is '
FILTER_TFIDF_INCLUDE = 'include tokens where their tfidf is '
FILTER_TFIDF_LOWER = ' in the lower '
FILTER_TFIDF_UPPER = ' in the upper '
###Token Filters
AVAILABLE_DATASET_LANGUAGES1 = ['eng-sm', 'fre-sm'] #removed eng-trf and fre-trf due to difficulties with preparing installations -- Sept 21, 2021
AVAILABLE_DATASET_LANGUAGES2 = ['English', 'French']
###Usefulness
NOT_SURE = "Not Sure"
USEFUL = "Useful"
NOT_USEFUL = "Not Useful"
# dialogs
TWITTER_DIALOG_SIZE = wx.Size(350, -1)
OPTIONS_DIALOG_SIZE = wx.Size(350, -1)
#definition of fields available for use from the retrievers
available_fields = {
('Reddit', 'submission',): {
'id': {
'desc': "the unique Reddit Submission id (may not be unique across other sources/types",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'url': {
'desc': "a url link to the original source of the data",
'type': 'url',
'computation_fields_default': False,
'label_fields_default': True,
},
'created_utc': {
'desc': "The UTC time stamp of when the submission was created",
'type': 'UTC-timestamp',
'computation_fields_default': False,
'label_fields_default': True,
},
'title': {
'desc': "the raw title of the submission.",
'type': 'string',
'computation_fields_default': True,
'label_fields_default': True,
},
'selftext': {
'desc': "the raw text of the submission.",
'type': 'string',
'computation_fields_default': True,
'label_fields_default': False,
},
'author': {
'desc': "the account name of the poster",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'author_flair_css_class': {
'desc': "the CSS class f the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'author_flair_text': {
'desc': "the text of the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'num_comments': {
'desc': "the number of comments made under this submission (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'num_crossposts': {
'desc': "the number of crossposts of this submission (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'score': {
'desc': "the submission's score (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'subreddit': {
'desc': "the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'subreddit_id': {
'desc': "The unique id of the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
},
('Reddit', 'comment',): {
'id': {
'desc': 'unique Reddit Comment id (may not be unique across other sources/types)',
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'url': {
'desc': "a url link to the original source of the data",
'type': 'url',
'computation_fields_default': False,
'label_fields_default': True,
},
'created_utc': {
'desc': "The UTC time stamp of when the comment was created",
'type': 'UTC-timestamp',
'computation_fields_default': False,
'label_fields_default': True,
},
'body': {
'desc': "the raw text of the comment.",
'type': 'string',
'computation_fields_default': True,
'label_fields_default': True,
},
'author': {
'desc': "the account name of the poster",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'author_flair_css_class': {
'desc': "the CSS class of the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'author_flair_text': {
'desc': "the text of the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'link_id': {
'desc': "A reference id that can link a comment to it's associated submission's id.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'parent_id': {
'desc': "A reference id for the item (a comment or submission) that this comment is a reply to",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'score': {
'desc': "the submission's score (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission_id':{
'desc': 'the id of the submission that comment is a response to',
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'subreddit': {
'desc': "the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'subreddit_id': {
'desc': "The unique id of the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
},
('Reddit', 'discussion',): {
'id': {
'desc': 'unique Reddit Comment id (may not be unique across other sources/types)',
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'url': {
'desc': "a url link to the original source of the data",
'type': 'url',
'computation_fields_default': False,
'label_fields_default': True,
},
'created_utc': {
'desc': "The UTC time stamp of when the comment was created",
'type': 'UTC-timestamp',
'computation_fields_default': False,
'label_fields_default': True,
},
'title': {
'desc': "the raw title of the discussion.",
'type': 'string',
'computation_fields_default': True,
'label_fields_default': True,
},
'text': {
'desc': "the raw text of the discussion.",
'type': 'string',
'computation_fields_default': True,
'label_fields_default': False,
},
'submission.author': {
'desc': "the account name of the poster",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.author_flair_css_class': {
'desc': "the CSS class f the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.author_flair_text': {
'desc': "the text of the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.created_utc': {
'desc': "The UTC time stamp of when the submission was created",
'type': 'UTC-timestamp',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.id': {
'desc': "the unique Reddit Submission id (may not be unique across other sources/types",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.num_comments': {
'desc': "the number of comments made under this submission (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.num_crossposts': {
'desc': "the number of crossposts of this submission (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.selftext': {
'desc': "the raw text of the submission.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.score': {
'desc': "the submission's score (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.subreddit': {
'desc': "the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.subreddit_id': {
'desc': "The unique id of the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'submission.title': {
'desc': "the raw title of the submission.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.author': {
'desc': "the account name of the poster",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.author_flair_css_class': {
'desc': "the CSS class of the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.author_flair_text': {
'desc': "the text of the author's flair. subreddit specific",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.body': {
'desc': "the raw text of the comment.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.created_utc': {
'desc': "The UTC time stamp of when the comment was created",
'type': 'UTC-timestamp',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.id': {
'desc': 'unique Reddit Comment id (may not be unique across other sources/types)',
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.link_id': {
'desc': "A reference id that can link a comment to it's associated submission's id.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.parent_id': {
'desc': "A reference id for the item (a comment or submission) that this comment is a reply to",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.score': {
'desc': "the submission's score (may be out of date unless updated from Reddit API)",
'type': 'integer',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.subreddit': {
'desc': "the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
'comment.subreddit_id': {
'desc': "The unique id of the subreddit the comment is from.",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': False,
},
},
('Twitter', 'tweet',): {
'created_utc': { # not a field in tweet object; created using 'created_at'
'desc': "The UTC time stamp of when the tweet was posted.",
'type': 'UTC-timestamp',
'computation_fields_default': False,
'label_fields_default': True,
},
'url': { # not a field in tweet object; created using tweet 'id'
'desc': "a url link to the original tweet",
'type': 'url',
'computation_fields_default': False,
'label_fields_default': True,
},
'full_text': {
'desc': "The full text of this tweet.",
'type': "string",
'computation_fields_default': True,
'label_fields_default': True,
},
'text': {
'desc': "The text in the tweet, truncated to 140 characters.",
'type': "string",
'computation_fields_default': False,
'label_fields_default': False,
},
},
('CSV', 'documents',): {
'id': {
'desc': "unique id of the row's data",
'type': 'string',
'computation_fields_default': False,
'label_fields_default': True,
},
'url': {
'desc': "a url link to the original source of the row's data",
'type': 'url',
'computation_fields_default': False,
'label_fields_default': False,
},
'created_utc': {
'desc': "The UTC time stamp of when the row's data was created",
'type': 'UTC-timestamp',
'computation_fields_default': False,
'label_fields_default': False,
},
}
}
| 38.575453
| 146
| 0.573075
| 2,085
| 19,172
| 5.042206
| 0.117986
| 0.150861
| 0.176353
| 0.151717
| 0.794635
| 0.784933
| 0.749263
| 0.737373
| 0.727766
| 0.7037
| 0
| 0.002421
| 0.310453
| 19,172
| 496
| 147
| 38.653226
| 0.792814
| 0.028427
| 0
| 0.578158
| 0
| 0
| 0.452855
| 0.109666
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.002141
| 0.012848
| 0
| 0.012848
| 0
| 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
|
8e6f58d75f26add4efd1a1ca913400a65b65e8ba
| 62
|
py
|
Python
|
app/main/errors.py
|
AJowett/chatty
|
a23fa594d53ac4d0851d7ce44d3fa81836e379d1
|
[
"MIT"
] | null | null | null |
app/main/errors.py
|
AJowett/chatty
|
a23fa594d53ac4d0851d7ce44d3fa81836e379d1
|
[
"MIT"
] | null | null | null |
app/main/errors.py
|
AJowett/chatty
|
a23fa594d53ac4d0851d7ce44d3fa81836e379d1
|
[
"MIT"
] | null | null | null |
from flask import render_template, request
from . import main
| 20.666667
| 42
| 0.822581
| 9
| 62
| 5.555556
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145161
| 62
| 2
| 43
| 31
| 0.943396
| 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
|
8ebc8f2acab51140910ab8af9bec5bb0c1f48067
| 700
|
py
|
Python
|
tests/test_utils.py
|
kairosfuture/abacusevents
|
121215a6855f2e0371e557b5f0d1dd7f2f33e069
|
[
"MIT"
] | null | null | null |
tests/test_utils.py
|
kairosfuture/abacusevents
|
121215a6855f2e0371e557b5f0d1dd7f2f33e069
|
[
"MIT"
] | null | null | null |
tests/test_utils.py
|
kairosfuture/abacusevents
|
121215a6855f2e0371e557b5f0d1dd7f2f33e069
|
[
"MIT"
] | null | null | null |
import os
from abacusevents.utils import env, lowercase_first
def test_env_is_short_for_os_dot_environ():
os.environ['FOO'] = 'BAR'
assert env('FOO') == 'BAR'
def test_env_lets_you_specify_a_default_value():
default = env('NOT_THERE', 'FOO')
assert default == 'FOO'
def test_env_wont_explode():
assert env('NOTHING') is None
def test_lowercase_first():
assert lowercase_first('Ping') == 'ping'
assert lowercase_first('') == ''
assert lowercase_first('fOO') == 'fOO'
assert lowercase_first(None) == ''
assert lowercase_first(False) == ''
assert lowercase_first([]) == ''
assert lowercase_first([1]) == ''
assert lowercase_first((1,)) == ''
| 24.137931
| 51
| 0.665714
| 89
| 700
| 4.910112
| 0.370787
| 0.320366
| 0.366133
| 0.199085
| 0.26087
| 0.183066
| 0
| 0
| 0
| 0
| 0
| 0.00349
| 0.181429
| 700
| 28
| 52
| 25
| 0.759162
| 0
| 0
| 0
| 0
| 0
| 0.068571
| 0
| 0
| 0
| 0
| 0
| 0.578947
| 1
| 0.210526
| false
| 0
| 0.105263
| 0
| 0.315789
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
8ec5846ccf710a39df521d57cab6d18b4a25c956
| 68
|
py
|
Python
|
pywren_ibm_cloud/storage/backends/ibm_cos/__init__.py
|
gerardparis/pywren-ibm-cloud
|
ca69bed54f5bd5157bcda961b86dbfcfecf3c54a
|
[
"Apache-2.0"
] | 158
|
2020-09-16T13:22:03.000Z
|
2022-03-28T20:01:31.000Z
|
pywren_ibm_cloud/storage/backends/ibm_cos/__init__.py
|
gerardparis/pywren-ibm-cloud
|
ca69bed54f5bd5157bcda961b86dbfcfecf3c54a
|
[
"Apache-2.0"
] | 256
|
2018-05-20T13:01:51.000Z
|
2020-09-16T09:09:54.000Z
|
pywren_ibm_cloud/storage/backends/ibm_cos/__init__.py
|
gerardparis/pywren-ibm-cloud
|
ca69bed54f5bd5157bcda961b86dbfcfecf3c54a
|
[
"Apache-2.0"
] | 48
|
2020-09-19T15:29:53.000Z
|
2022-03-23T17:08:24.000Z
|
from .ibm_cos import IBMCloudObjectStorageBackend as StorageBackend
| 34
| 67
| 0.897059
| 7
| 68
| 8.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 68
| 1
| 68
| 68
| 0.967742
| 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
|
d903529b12c98aca3ff5d6845a7f6381cda45ac6
| 404
|
py
|
Python
|
controlpanel/controlpanel/ros_check/models.py
|
filesmuggler/acc_web_server
|
2497cbfdb08db30d4eb1ca842cee7c2f65ff7470
|
[
"MIT"
] | null | null | null |
controlpanel/controlpanel/ros_check/models.py
|
filesmuggler/acc_web_server
|
2497cbfdb08db30d4eb1ca842cee7c2f65ff7470
|
[
"MIT"
] | null | null | null |
controlpanel/controlpanel/ros_check/models.py
|
filesmuggler/acc_web_server
|
2497cbfdb08db30d4eb1ca842cee7c2f65ff7470
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Car(models.Model):
car_name = models.CharField(max_length=50)
car_hostname = models.CharField(max_length=50)
car_state = models.CharField(max_length=50)
def __str__(self):
return self.car_name
def get_hostname(self):
return self.car_hostname
def get_state(self):
return self.car_state
| 22.444444
| 50
| 0.695545
| 57
| 404
| 4.666667
| 0.403509
| 0.169173
| 0.203008
| 0.270677
| 0.315789
| 0.218045
| 0
| 0
| 0
| 0
| 0
| 0.019048
| 0.220297
| 404
| 18
| 51
| 22.444444
| 0.825397
| 0.059406
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.272727
| false
| 0
| 0.090909
| 0.272727
| 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
|
d916bdfd815b7553815cbe2979b5ff3c361b9fdb
| 42
|
py
|
Python
|
ARLO/environment/__init__.py
|
arlo-lib/ARLO
|
159669884044686e36e07bd1cc0948884ed7cc8d
|
[
"MIT"
] | null | null | null |
ARLO/environment/__init__.py
|
arlo-lib/ARLO
|
159669884044686e36e07bd1cc0948884ed7cc8d
|
[
"MIT"
] | null | null | null |
ARLO/environment/__init__.py
|
arlo-lib/ARLO
|
159669884044686e36e07bd1cc0948884ed7cc8d
|
[
"MIT"
] | null | null | null |
from ARLO.environment.environment import *
| 42
| 42
| 0.857143
| 5
| 42
| 7.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 42
| 1
| 42
| 42
| 0.923077
| 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
|
d98a64a68a68150c17a5ba9fa0b9485585e96dc4
| 35
|
py
|
Python
|
yolo/model_zoo/__init__.py
|
ioangatop/yolo
|
c65a72337369572bc07090f39123e2bf6ff5f4a3
|
[
"MIT"
] | 1
|
2021-06-28T01:22:38.000Z
|
2021-06-28T01:22:38.000Z
|
yolo/model_zoo/__init__.py
|
ioangatop/yolo
|
c65a72337369572bc07090f39123e2bf6ff5f4a3
|
[
"MIT"
] | null | null | null |
yolo/model_zoo/__init__.py
|
ioangatop/yolo
|
c65a72337369572bc07090f39123e2bf6ff5f4a3
|
[
"MIT"
] | null | null | null |
from .model_zoo import load_weights
| 35
| 35
| 0.885714
| 6
| 35
| 4.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085714
| 35
| 1
| 35
| 35
| 0.90625
| 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
|
d98b62aa0fdb706a6f4cb4c830afcb3e8f4fca20
| 282
|
py
|
Python
|
test_logger/demo.py
|
payalkutana/logging_logger
|
7dc7ccaee63e922b7c7f699a5d0b4e1317a27502
|
[
"MIT"
] | null | null | null |
test_logger/demo.py
|
payalkutana/logging_logger
|
7dc7ccaee63e922b7c7f699a5d0b4e1317a27502
|
[
"MIT"
] | null | null | null |
test_logger/demo.py
|
payalkutana/logging_logger
|
7dc7ccaee63e922b7c7f699a5d0b4e1317a27502
|
[
"MIT"
] | null | null | null |
from logging_logger import loggerClass
import logging
loggerClass.WritetoScreen(loggerClass,logging.INFO,"testing...",
'%(levelname)s:%(message)s')
loggerClass.Writetofile(loggerClass,'sample.log',logging.WARNING,"testing...",
'%(levelname)s:%(message)s')
| 31.333333
| 78
| 0.70922
| 29
| 282
| 6.862069
| 0.517241
| 0.160804
| 0.170854
| 0.241206
| 0.251256
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12766
| 282
| 8
| 79
| 35.25
| 0.808943
| 0
| 0
| 0.333333
| 0
| 0
| 0.283688
| 0.177305
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 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
| 0
| 0
|
0
| 5
|
d98be932a3e4d84d93b13cf5f54ee3801d2adc54
| 111
|
py
|
Python
|
LearnPython3TheHardWay/ex8.py
|
lanjing99/UsePython
|
19a84e3ef65dc326cf9c4bfccbf2d99c22f858a4
|
[
"MIT"
] | null | null | null |
LearnPython3TheHardWay/ex8.py
|
lanjing99/UsePython
|
19a84e3ef65dc326cf9c4bfccbf2d99c22f858a4
|
[
"MIT"
] | null | null | null |
LearnPython3TheHardWay/ex8.py
|
lanjing99/UsePython
|
19a84e3ef65dc326cf9c4bfccbf2d99c22f858a4
|
[
"MIT"
] | null | null | null |
formatter = "{} {} {} {}"
print(formatter.format(1, 2, 3, 4))
print(formatter.format("a", "b", "c", "d", "r"))
| 27.75
| 48
| 0.522523
| 16
| 111
| 3.625
| 0.75
| 0.482759
| 0.689655
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041667
| 0.135135
| 111
| 3
| 49
| 37
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0.144144
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.666667
| 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
| 0
| 1
|
0
| 5
|
794e02a9abb8bfa43732422f20b7e7e3ffdaefeb
| 10,950
|
py
|
Python
|
bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py
|
ProfessionalIT/customers
|
3dbc1989bb3494fb6de7edad67dc59b7b0385ac3
|
[
"MIT"
] | null | null | null |
bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py
|
ProfessionalIT/customers
|
3dbc1989bb3494fb6de7edad67dc59b7b0385ac3
|
[
"MIT"
] | 1
|
2015-11-08T11:49:35.000Z
|
2015-11-08T11:49:43.000Z
|
bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py
|
ProfessionalIT/customers
|
3dbc1989bb3494fb6de7edad67dc59b7b0385ac3
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Galeria.foi_importante'
db.add_column(u'website_galeria', 'foi_importante',
self.gf('django.db.models.fields.BooleanField')(default=False),
keep_default=False)
def backwards(self, orm):
# Deleting field 'Galeria.foi_importante'
db.delete_column(u'website_galeria', 'foi_importante')
models = {
u'website.calendario': {
'Meta': {'object_name': 'Calendario'},
'data_agendamento': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(2013, 12, 4, 0, 0)'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'}),
'tipo': ('django.db.models.fields.CharField', [], {'default': "u'E'", 'max_length': '1'}),
'titulo': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
u'website.cardapio': {
'Meta': {'object_name': 'Cardapio'},
'ano': ('django.db.models.fields.CharField', [], {'default': "'2013'", 'max_length': '4'}),
'cardapio_file': ('django.db.models.fields.files.FileField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'mes': ('django.db.models.fields.CharField', [], {'default': "'12'", 'max_length': '2'}),
'tipo': ('django.db.models.fields.CharField', [], {'default': "u'1'", 'max_length': '1'})
},
u'website.conteudodownload': {
'Meta': {'object_name': 'ConteudoDownload'},
'conteudo_file': ('django.db.models.fields.files.FileField', [], {'max_length': '100'}),
'descricao': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'miniatura': ('django.db.models.fields.files.ImageField', [], {'max_length': '100'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'}),
'tipo': ('django.db.models.fields.CharField', [], {'default': "u'1'", 'max_length': '1'}),
'titulo': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
u'website.depoimento': {
'Meta': {'object_name': 'Depoimento'},
'autor': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'conteudo': ('django.db.models.fields.TextField', [], {}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'})
},
u'website.galeria': {
'Meta': {'object_name': 'Galeria'},
'ano': ('django.db.models.fields.CharField', [], {'default': "'2013'", 'max_length': '4'}),
'descricao': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'destaque': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'foi_importante': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'mes': ('django.db.models.fields.CharField', [], {'default': "'12'", 'max_length': '2'}),
'permite_comentario': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'}),
'tipo': ('django.db.models.fields.CharField', [], {'default': "u'F'", 'max_length': '1'}),
'titulo': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
u'website.galeriaresource': {
'Meta': {'object_name': 'GaleriaResource'},
'action_resource': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'galeria': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['website.Galeria']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'upload_resource': ('django.db.models.fields.files.FileField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'url_resource': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'})
},
u'website.materialescolar': {
'Meta': {'object_name': 'MaterialEscolar'},
'anexo_file': ('django.db.models.fields.files.FileField', [], {'max_length': '100'}),
'ano': ('django.db.models.fields.CharField', [], {'default': "'2013'", 'max_length': '4'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'miniatura': ('django.db.models.fields.files.ImageField', [], {'max_length': '100'}),
'servico': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['website.Servico']"})
},
u'website.menu': {
'Meta': {'object_name': 'Menu'},
'endereco': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'menu_pai': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "u'Menu Pai'", 'null': 'True', 'to': u"orm['website.Menu']"}),
'nivel': ('django.db.models.fields.IntegerField', [], {}),
'ordem': ('django.db.models.fields.IntegerField', [], {}),
'pagina': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['website.Pagina']", 'null': 'True'}),
'palavras_chaves': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'rascunho': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'}),
'titulo': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
u'website.pagina': {
'Meta': {'object_name': 'Pagina'},
'conteudo': ('django.db.models.fields.TextField', [], {}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'palavras_chaves': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'permite_comentario': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'rascunho': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'}),
'titulo': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
u'website.parametro': {
'Meta': {'object_name': 'Parametro'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'valor': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
u'website.professor': {
'Meta': {'object_name': 'Professor'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'nome': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'})
},
u'website.publicacao': {
'Meta': {'object_name': 'Publicacao'},
'completa': ('django.db.models.fields.TextField', [], {}),
'data_hora': ('django.db.models.fields.DateTimeField', [], {}),
'data_publicacao': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'destaque': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'galeria': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['website.Galeria']", 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'introducao': ('django.db.models.fields.TextField', [], {}),
'miniatura_publicacao': ('django.db.models.fields.files.ImageField', [], {'max_length': '100'}),
'palavras_chaves': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'permite_comentario': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'rascunho': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'}),
'tipos': ('django.db.models.fields.CharField', [], {'default': "u'1'", 'max_length': '1'}),
'titulo': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
u'website.recomendacao': {
'Meta': {'object_name': 'Recomendacao'},
'acao_link': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'descricao': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'destaque': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'miniatura': ('django.db.models.fields.files.ImageField', [], {'max_length': '100'}),
'tipo': ('django.db.models.fields.CharField', [], {'default': "u'1'", 'max_length': '1'})
},
u'website.servico': {
'Meta': {'object_name': 'Servico'},
'atividades_extras': ('django.db.models.fields.TextField', [], {}),
'atividades_incluidas': ('django.db.models.fields.TextField', [], {}),
'conteudo_programatico': ('django.db.models.fields.TextField', [], {}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'observacoes': ('django.db.models.fields.TextField', [], {}),
'professor': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['website.Professor']"}),
'rotina_diaria': ('django.db.models.fields.TextField', [], {}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '200'}),
'titulo': ('django.db.models.fields.CharField', [], {'max_length': '200'})
}
}
complete_apps = ['website']
| 69.303797
| 172
| 0.541918
| 1,096
| 10,950
| 5.312044
| 0.119526
| 0.127791
| 0.22123
| 0.316043
| 0.798179
| 0.721745
| 0.70371
| 0.696153
| 0.673136
| 0.645139
| 0
| 0.017536
| 0.218813
| 10,950
| 158
| 173
| 69.303797
| 0.663082
| 0.009041
| 0
| 0.367347
| 0
| 0
| 0.562903
| 0.319708
| 0
| 0
| 0
| 0
| 0
| 1
| 0.013605
| false
| 0
| 0.047619
| 0
| 0.081633
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 1
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7952609e9f72568f6207d4ca79537c3b28a117d4
| 203
|
py
|
Python
|
classy_start/paths.py
|
mfonism/django-classy-start
|
70b73e1a836c2ae4c3bae6f53846b07a30a81ac0
|
[
"MIT"
] | 1
|
2022-01-20T18:48:46.000Z
|
2022-01-20T18:48:46.000Z
|
classy_start/paths.py
|
mfonism/django-classy-start
|
70b73e1a836c2ae4c3bae6f53846b07a30a81ac0
|
[
"MIT"
] | 8
|
2020-10-05T15:27:07.000Z
|
2021-02-16T17:17:54.000Z
|
classy_start/paths.py
|
mfonism/django-classy-start
|
70b73e1a836c2ae4c3bae6f53846b07a30a81ac0
|
[
"MIT"
] | 5
|
2020-10-05T18:11:44.000Z
|
2022-01-21T18:33:13.000Z
|
import pathlib
TEMPLATES_DIR = pathlib.Path(__file__).resolve(strict=True).parent / 'conf'
APP_TEMPLATES_DIR = TEMPLATES_DIR / 'app_template'
PROJECT_TEMPLATES_DIR = TEMPLATES_DIR / 'project_template'
| 29
| 75
| 0.807882
| 26
| 203
| 5.807692
| 0.538462
| 0.397351
| 0.278146
| 0.317881
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.093596
| 203
| 6
| 76
| 33.833333
| 0.820652
| 0
| 0
| 0
| 0
| 0
| 0.157635
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
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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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
798f90e5f4234e1706d47ac52ae151b26363ed30
| 105
|
py
|
Python
|
autoapi/__init__.py
|
lhfriedman/sphinx-autoapi
|
efe815c1df16a616b40b44cb679fda4a4eb7895a
|
[
"MIT"
] | null | null | null |
autoapi/__init__.py
|
lhfriedman/sphinx-autoapi
|
efe815c1df16a616b40b44cb679fda4a4eb7895a
|
[
"MIT"
] | 1
|
2020-07-31T01:19:04.000Z
|
2020-07-31T01:19:04.000Z
|
autoapi/__init__.py
|
lhfriedman/sphinx-autoapi
|
efe815c1df16a616b40b44cb679fda4a4eb7895a
|
[
"MIT"
] | null | null | null |
"""
Sphinx AutoAPI
"""
from .extension import setup
from ._version import __version__, __version_info__
| 15
| 51
| 0.780952
| 12
| 105
| 6
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 105
| 6
| 52
| 17.5
| 0.791209
| 0.133333
| 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
|
79b9401f776d3b7758cf615a45ec455370cc2331
| 42
|
py
|
Python
|
tests/identifiers/__init__.py
|
jparsai/cvejob
|
8f9462a1ecdf1d4de877ac5f44e772239ffcb379
|
[
"Apache-2.0"
] | 8
|
2019-09-25T14:45:28.000Z
|
2021-11-08T10:30:03.000Z
|
tests/identifiers/__init__.py
|
jparsai/cvejob
|
8f9462a1ecdf1d4de877ac5f44e772239ffcb379
|
[
"Apache-2.0"
] | 113
|
2018-07-10T12:58:16.000Z
|
2020-12-09T22:33:15.000Z
|
tests/identifiers/__init__.py
|
jparsai/cvejob
|
8f9462a1ecdf1d4de877ac5f44e772239ffcb379
|
[
"Apache-2.0"
] | 12
|
2018-07-10T11:00:02.000Z
|
2021-01-27T12:19:56.000Z
|
"""Tests for package name identifiers."""
| 21
| 41
| 0.714286
| 5
| 42
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119048
| 42
| 1
| 42
| 42
| 0.810811
| 0.833333
| 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
|
79bf7da39552fc06aca988e7aec5e90f151e4f97
| 159
|
py
|
Python
|
cart/admin.py
|
shaongitt/boihut
|
d93c6b503dd7ad4f37dc572a6dec21f593bf7b35
|
[
"BSD-2-Clause"
] | null | null | null |
cart/admin.py
|
shaongitt/boihut
|
d93c6b503dd7ad4f37dc572a6dec21f593bf7b35
|
[
"BSD-2-Clause"
] | null | null | null |
cart/admin.py
|
shaongitt/boihut
|
d93c6b503dd7ad4f37dc572a6dec21f593bf7b35
|
[
"BSD-2-Clause"
] | null | null | null |
from django.contrib import admin
from .models import Cart,CartItems
# Register your models here.
admin.site.register(CartItems)
admin.site.register(Cart)
| 26.5
| 35
| 0.792453
| 22
| 159
| 5.727273
| 0.545455
| 0.142857
| 0.269841
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125786
| 159
| 5
| 36
| 31.8
| 0.906475
| 0.163522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
|
8dbf72711729ecd397489eebb67c03ca4962e12f
| 182
|
py
|
Python
|
core/__init__.py
|
xmings/IdeaNote
|
a538d4bf012255a19583f9acc57576c44105283e
|
[
"Apache-2.0"
] | 25
|
2019-11-13T03:35:34.000Z
|
2022-03-26T04:13:50.000Z
|
core/__init__.py
|
xmings/IdeaNote
|
a538d4bf012255a19583f9acc57576c44105283e
|
[
"Apache-2.0"
] | 3
|
2019-11-04T06:23:35.000Z
|
2021-02-08T07:21:04.000Z
|
core/__init__.py
|
xmings/IdeaNote
|
a538d4bf012255a19583f9acc57576c44105283e
|
[
"Apache-2.0"
] | null | null | null |
#!/bin/python
# -*- coding: utf-8 -*-
# @File : __init__.py
# @Author: wangms
# @Date : 2018/8/7
from flask import Blueprint
core = Blueprint('core', __name__)
from . import view
| 18.2
| 34
| 0.648352
| 25
| 182
| 4.4
| 0.8
| 0.236364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.046667
| 0.175824
| 182
| 10
| 35
| 18.2
| 0.686667
| 0.489011
| 0
| 0
| 0
| 0
| 0.044944
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 5
|
8dc7d59fdd262802a1ded4d3d7416e6bb94d267d
| 118
|
py
|
Python
|
Executor/Tasks/PostRun/__init__.py
|
EVOLVED-5G/ELCM
|
07d07a114b667e8c6915ee3ef125dd4864dd2247
|
[
"Apache-2.0"
] | 1
|
2020-04-16T17:07:46.000Z
|
2020-04-16T17:07:46.000Z
|
Executor/Tasks/PostRun/__init__.py
|
EVOLVED-5G/ELCM
|
07d07a114b667e8c6915ee3ef125dd4864dd2247
|
[
"Apache-2.0"
] | 3
|
2020-03-06T11:22:09.000Z
|
2020-03-06T11:22:10.000Z
|
Executor/Tasks/PostRun/__init__.py
|
EVOLVED-5G/ELCM
|
07d07a114b667e8c6915ee3ef125dd4864dd2247
|
[
"Apache-2.0"
] | 1
|
2022-02-01T07:56:44.000Z
|
2022-02-01T07:56:44.000Z
|
from .decommission import Decommission
from .release_resources import ReleaseResources
from .farewell import Farewell
| 29.5
| 47
| 0.872881
| 13
| 118
| 7.846154
| 0.538462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101695
| 118
| 3
| 48
| 39.333333
| 0.962264
| 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
|
5c429e9d7bfee87526f60bb5e280566fb358a202
| 80
|
py
|
Python
|
elabjournal/elabjournal/Experiments.py
|
matthijsbrouwer/elabjournal-python
|
4063b01993f0bf17ea2857009c1bedc5ace8b87b
|
[
"Apache-2.0"
] | 2
|
2021-06-29T11:17:27.000Z
|
2022-01-11T18:41:49.000Z
|
elabjournal/elabjournal/Experiments.py
|
matthijsbrouwer/elabjournal-python
|
4063b01993f0bf17ea2857009c1bedc5ace8b87b
|
[
"Apache-2.0"
] | null | null | null |
elabjournal/elabjournal/Experiments.py
|
matthijsbrouwer/elabjournal-python
|
4063b01993f0bf17ea2857009c1bedc5ace8b87b
|
[
"Apache-2.0"
] | 1
|
2019-06-06T13:23:11.000Z
|
2019-06-06T13:23:11.000Z
|
from .eLABJournalPager import *
class Experiments(eLABJournalPager):
pass
| 13.333333
| 36
| 0.775
| 7
| 80
| 8.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1625
| 80
| 6
| 37
| 13.333333
| 0.925373
| 0
| 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
| 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
|
309c11fc57b0f92270c9e810c9427e1dc68d5961
| 38
|
py
|
Python
|
apis/resources/__init__.py
|
Fusemachines/fuse-python-training
|
939bf935646a60817b1da329791e376c7e59464b
|
[
"FSFAP"
] | null | null | null |
apis/resources/__init__.py
|
Fusemachines/fuse-python-training
|
939bf935646a60817b1da329791e376c7e59464b
|
[
"FSFAP"
] | null | null | null |
apis/resources/__init__.py
|
Fusemachines/fuse-python-training
|
939bf935646a60817b1da329791e376c7e59464b
|
[
"FSFAP"
] | null | null | null |
from apis.resources.users import user
| 19
| 37
| 0.842105
| 6
| 38
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 38
| 1
| 38
| 38
| 0.941176
| 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
|
30b203119c6c5793b1d0fe751409e9c5ee26bbf6
| 53
|
py
|
Python
|
lib/__init__.py
|
jesseokeya/linkedin-scraper
|
6b9d5af5167c8c936db63a855a9885728efbfeb5
|
[
"MIT"
] | null | null | null |
lib/__init__.py
|
jesseokeya/linkedin-scraper
|
6b9d5af5167c8c936db63a855a9885728efbfeb5
|
[
"MIT"
] | 1
|
2020-01-04T19:33:58.000Z
|
2021-09-07T15:03:03.000Z
|
lib/__init__.py
|
jesseokeya/linkedin-scraper
|
6b9d5af5167c8c936db63a855a9885728efbfeb5
|
[
"MIT"
] | 1
|
2021-12-02T06:51:46.000Z
|
2021-12-02T06:51:46.000Z
|
from .scrape import Scrape
from .helper import Helper
| 26.5
| 26
| 0.830189
| 8
| 53
| 5.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132075
| 53
| 2
| 27
| 26.5
| 0.956522
| 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
|
30df28d88d0e3028115d06d1db6c4ac57bd2c0df
| 185
|
py
|
Python
|
Google Kickstart/2019/Round C/circuit_board.py
|
mishrakeshav/Competitive-Programming
|
b25dcfeec0fb9a9c71bf3a05644b619f4ca83dd2
|
[
"MIT"
] | 2
|
2020-06-25T21:10:32.000Z
|
2020-12-10T06:53:45.000Z
|
Google Kickstart/2019/Round C/circuit_board.py
|
mishrakeshav/Competitive-Programming
|
b25dcfeec0fb9a9c71bf3a05644b619f4ca83dd2
|
[
"MIT"
] | null | null | null |
Google Kickstart/2019/Round C/circuit_board.py
|
mishrakeshav/Competitive-Programming
|
b25dcfeec0fb9a9c71bf3a05644b619f4ca83dd2
|
[
"MIT"
] | 3
|
2020-05-15T14:17:09.000Z
|
2021-07-25T13:18:20.000Z
|
for t in range(int(input())):
r,c,k = map(int , input().split())
circuit_board = []
for i in range(r):
circuit_board.append(list(map(int,input().split())))
| 26.428571
| 60
| 0.551351
| 28
| 185
| 3.571429
| 0.571429
| 0.24
| 0.22
| 0.32
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.248649
| 185
| 7
| 61
| 26.428571
| 0.719424
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
|
30e8e22ed734b9dbbb1ecdf7de1dcc755608c15e
| 40
|
py
|
Python
|
5.3_HANDLER/handler_module.py
|
pedroMoya/alaska_2_share
|
a5f958da45b97e8c8cdc0b868e4447dbc500c6f9
|
[
"MIT"
] | 2
|
2020-06-02T18:39:45.000Z
|
2021-01-01T19:17:15.000Z
|
5.3_HANDLER/handler_module.py
|
pedroMoya/alaska_2_share
|
a5f958da45b97e8c8cdc0b868e4447dbc500c6f9
|
[
"MIT"
] | 1
|
2021-01-01T19:17:08.000Z
|
2021-03-19T00:10:52.000Z
|
5.3_HANDLER/handler_module.py
|
pedroMoya/alaska_2_share
|
a5f958da45b97e8c8cdc0b868e4447dbc500c6f9
|
[
"MIT"
] | 1
|
2021-01-01T19:17:17.000Z
|
2021-01-01T19:17:17.000Z
|
# handler module centralize the control
| 20
| 39
| 0.825
| 5
| 40
| 6.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 40
| 1
| 40
| 40
| 0.970588
| 0.925
| 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
|
a50155ac15b87a1b73c7f2ca4058bdf66488534d
| 1,323
|
py
|
Python
|
examples/cheb/example_dft.py
|
Hadrien-Montanelli/chebpy
|
c22f1f13b42b3c80f2e34be6e7136ef2d0277971
|
[
"MIT"
] | 1
|
2020-12-02T10:17:26.000Z
|
2020-12-02T10:17:26.000Z
|
examples/cheb/example_dft.py
|
Hadrien-Montanelli/chebpy
|
c22f1f13b42b3c80f2e34be6e7136ef2d0277971
|
[
"MIT"
] | null | null | null |
examples/cheb/example_dft.py
|
Hadrien-Montanelli/chebpy
|
c22f1f13b42b3c80f2e34be6e7136ef2d0277971
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 2 15:37:10 2020
Copyright 2020 by Hadrien Montanelli.
"""
# %% Imports.
# Standard library imports:
import numpy as np
# Chebpy imports:
from chebpy.cheb import chebpts, coeffs2vals, vals2coeffs
# %% Transforms (1D) on [-1,1].
f = lambda x: np.exp(-10*x**2)
n = 100
x = chebpts(n)
error = coeffs2vals(vals2coeffs(f(x))) - f(x)
print(f'Error (1D): {np.max(np.abs(error)):.2e}')
# %% Transforms (1D) on [0,2].
f = lambda x: np.exp(-10*x**2)
n = 100
x = chebpts(n, [0, 2])
error = coeffs2vals(vals2coeffs(f(x))) - f(x)
print(f'Error (1D): {np.max(np.abs(error)):.2e}')
# %% Transforms (2D) on [-1,1]x[-1,1].
f = lambda x, y: np.exp(-10*(x**2 + y**2))
n = 100
x = chebpts(n)
y = chebpts(n)
X, Y = np.meshgrid(x, y)
values = f(X, Y)
coeffs = vals2coeffs(vals2coeffs(values).T).T
values2 = coeffs2vals(coeffs2vals(coeffs).T).T
error = values2 - values
print(f'Error (2D): {np.max(np.abs(error)):.2e}')
# %% Transforms (2D) on [0,2]x[-1,0].
f = lambda x, y: np.exp(-10*(x**2 + y**2))
n = 100
x = chebpts(n, [0, 2])
y = chebpts(n, [-1, 0])
X, Y = np.meshgrid(x, y)
values = f(X, Y)
coeffs = vals2coeffs(vals2coeffs(values).T).T
values2 = coeffs2vals(coeffs2vals(coeffs).T).T
error = values2 - values
print(f'Error (2D): {np.max(np.abs(error)):.2e}')
| 23.625
| 57
| 0.619803
| 238
| 1,323
| 3.445378
| 0.231092
| 0.019512
| 0.039024
| 0.039024
| 0.709756
| 0.704878
| 0.704878
| 0.704878
| 0.7
| 0.678049
| 0
| 0.081033
| 0.151172
| 1,323
| 56
| 58
| 23.625
| 0.649154
| 0.229781
| 0
| 0.875
| 0
| 0
| 0.155378
| 0.10757
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.0625
| 0
| 0.0625
| 0.125
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ebc77323d31536c2b311a55342b7c92b4fa87b56
| 5,875
|
py
|
Python
|
tests/integration/test_nornsible_integration.py
|
PhillSimonds/nornsible
|
5be98f5bfa66410bc269fa239a53016b4a4ac65a
|
[
"MIT"
] | null | null | null |
tests/integration/test_nornsible_integration.py
|
PhillSimonds/nornsible
|
5be98f5bfa66410bc269fa239a53016b4a4ac65a
|
[
"MIT"
] | null | null | null |
tests/integration/test_nornsible_integration.py
|
PhillSimonds/nornsible
|
5be98f5bfa66410bc269fa239a53016b4a4ac65a
|
[
"MIT"
] | null | null | null |
from pathlib import Path
import sys
from unittest.mock import patch
from nornir import InitNornir
import nornsible
from nornsible import InitNornsible, nornsible_delegate, nornsible_task
NORNSIBLE_DIR = nornsible.__file__
TEST_DIR = f"{Path(NORNSIBLE_DIR).parents[1]}/tests/"
@nornsible_task
def custom_task_example(task):
return "Hello, world!"
@nornsible_task
def custom_task_example_2(task):
return "Hello, world!"
@nornsible_delegate
def custom_task_example_3(task):
return "Hello, world!"
def test_nornsible_task_skip_task():
testargs = ["somescript", "-l", "localhost", "-s", "custom_task_example"]
with patch.object(sys, "argv", testargs):
nr = InitNornir(
inventory={
"plugin": "nornir.plugins.inventory.simple.SimpleInventory",
"options": {
"host_file": f"{TEST_DIR}_test_nornir_inventory/hosts.yaml",
"group_file": f"{TEST_DIR}_test_nornir_inventory/groups.yaml",
},
},
logging={"enabled": False},
)
nr = InitNornsible(nr)
task_result = nr.run(task=custom_task_example)
assert set(task_result.keys()) == {"delegate", "localhost"}
assert task_result["localhost"].result == "Task skipped!"
assert task_result["delegate"].result == "Task skipped, delegate host!"
def test_nornsible_task_skip_task_disable_delegate():
testargs = ["somescript", "-l", "localhost", "-s", "custom_task_example", "-d"]
with patch.object(sys, "argv", testargs):
nr = InitNornir(
inventory={
"plugin": "nornir.plugins.inventory.simple.SimpleInventory",
"options": {
"host_file": f"{TEST_DIR}_test_nornir_inventory/hosts.yaml",
"group_file": f"{TEST_DIR}_test_nornir_inventory/groups.yaml",
},
},
logging={"enabled": False},
)
nr = InitNornsible(nr)
task_result = nr.run(task=custom_task_example)
assert set(task_result.keys()) == {"localhost"}
assert task_result["localhost"].result == "Task skipped!"
def test_nornsible_task_explicit_task():
testargs = ["somescript", "-l", "localhost", "-t", "custom_task_example_2"]
with patch.object(sys, "argv", testargs):
nr = InitNornir(
inventory={
"plugin": "nornir.plugins.inventory.simple.SimpleInventory",
"options": {
"host_file": f"{TEST_DIR}_test_nornir_inventory/hosts.yaml",
"group_file": f"{TEST_DIR}_test_nornir_inventory/groups.yaml",
},
},
logging={"enabled": False},
)
nr = InitNornsible(nr)
print(nr.inventory.hosts)
tasks = [custom_task_example, custom_task_example_2]
task_results = []
for task in tasks:
task_results.append(nr.run(task=task))
assert task_results[0]["localhost"].result == "Task skipped!"
assert task_results[1]["localhost"].result == "Hello, world!"
assert task_results[0]["delegate"].result == "Task skipped, delegate host!"
assert task_results[1]["delegate"].result == "Task skipped, delegate host!"
def test_nornsible_task_no_tags():
testargs = ["somescript", "-l", "localhost"]
with patch.object(sys, "argv", testargs):
nr = InitNornir(
inventory={
"plugin": "nornir.plugins.inventory.simple.SimpleInventory",
"options": {
"host_file": f"{TEST_DIR}_test_nornir_inventory/hosts.yaml",
"group_file": f"{TEST_DIR}_test_nornir_inventory/groups.yaml",
},
},
logging={"enabled": False},
)
nr = InitNornsible(nr)
print(nr.inventory.hosts)
tasks = [custom_task_example, custom_task_example_2]
task_results = []
for task in tasks:
task_results.append(nr.run(task=task))
assert task_results[0]["localhost"].result == "Hello, world!"
assert task_results[1]["localhost"].result == "Hello, world!"
def test_nornsible_delegate():
testargs = ["somescript", "-l", "localhost"]
with patch.object(sys, "argv", testargs):
nr = InitNornir(
inventory={
"plugin": "nornir.plugins.inventory.simple.SimpleInventory",
"options": {
"host_file": f"{TEST_DIR}_test_nornir_inventory/hosts.yaml",
"group_file": f"{TEST_DIR}_test_nornir_inventory/groups.yaml",
},
},
logging={"enabled": False},
)
nr = InitNornsible(nr)
print(nr.inventory.hosts)
tasks = [custom_task_example_3]
task_results = []
for task in tasks:
task_results.append(nr.run(task=task))
assert task_results[0]["localhost"].result == "Task skipped, non-delegate host!"
def test_nornsible_delegate_disable_delegate():
testargs = ["somescript", "-l", "localhost", "-d"]
with patch.object(sys, "argv", testargs):
nr = InitNornir(
inventory={
"plugin": "nornir.plugins.inventory.simple.SimpleInventory",
"options": {
"host_file": f"{TEST_DIR}_test_nornir_inventory/hosts.yaml",
"group_file": f"{TEST_DIR}_test_nornir_inventory/groups.yaml",
},
},
logging={"enabled": False},
)
nr = InitNornsible(nr)
print(nr.inventory.hosts)
tasks = [custom_task_example_3]
task_results = []
for task in tasks:
task_results.append(nr.run(task=task))
assert task_results[0]["localhost"].result == "Task skipped, delegate host!"
| 36.042945
| 88
| 0.589787
| 616
| 5,875
| 5.375
| 0.118506
| 0.053156
| 0.071882
| 0.043491
| 0.89852
| 0.84476
| 0.782241
| 0.774086
| 0.68952
| 0.68952
| 0
| 0.003778
| 0.279149
| 5,875
| 162
| 89
| 36.265432
| 0.77804
| 0
| 0
| 0.639706
| 0
| 0
| 0.285787
| 0.147064
| 0
| 0
| 0
| 0
| 0.095588
| 1
| 0.066176
| false
| 0
| 0.044118
| 0.022059
| 0.132353
| 0.029412
| 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
|
ebca2dfaedf3312d1fbafc3bbd62cb313012d5a5
| 129
|
py
|
Python
|
yatr/__init__.py
|
mbodenhamer/yatr
|
9ebc0de3e474e38d9d79effe3e9c0fec11053024
|
[
"MIT"
] | null | null | null |
yatr/__init__.py
|
mbodenhamer/yatr
|
9ebc0de3e474e38d9d79effe3e9c0fec11053024
|
[
"MIT"
] | 1
|
2021-03-31T18:51:21.000Z
|
2021-03-31T18:51:21.000Z
|
yatr/__init__.py
|
mbodenhamer/yatr
|
9ebc0de3e474e38d9d79effe3e9c0fec11053024
|
[
"MIT"
] | 1
|
2017-12-13T13:30:29.000Z
|
2017-12-13T13:30:29.000Z
|
__version__ = '0.0.11b'
from .base import *
from .context import *
from .task import *
from .env import *
from .parse import *
| 14.333333
| 23
| 0.689922
| 19
| 129
| 4.473684
| 0.526316
| 0.470588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038462
| 0.193798
| 129
| 8
| 24
| 16.125
| 0.778846
| 0
| 0
| 0
| 0
| 0
| 0.054688
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.833333
| 0
| 0.833333
| 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
|
ccdfefff2e5b0b2164f247904feff97a33210609
| 47
|
py
|
Python
|
src/week_5/evaluation/__init__.py
|
Gost2017/text-analytics-lecture
|
a51976ba7cf7a992af4c0fba52dc9eef57a8155b
|
[
"MIT"
] | 2
|
2018-03-05T20:45:11.000Z
|
2019-03-17T02:59:57.000Z
|
src/week_5/evaluation/__init__.py
|
Gost2017/text-analytics-lecture
|
a51976ba7cf7a992af4c0fba52dc9eef57a8155b
|
[
"MIT"
] | null | null | null |
src/week_5/evaluation/__init__.py
|
Gost2017/text-analytics-lecture
|
a51976ba7cf7a992af4c0fba52dc9eef57a8155b
|
[
"MIT"
] | 8
|
2018-03-02T14:12:35.000Z
|
2018-04-21T10:31:25.000Z
|
'''
Created on 15/03/2018
@author: pelejaf
'''
| 9.4
| 21
| 0.638298
| 7
| 47
| 4.285714
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0.148936
| 47
| 5
| 22
| 9.4
| 0.55
| 0.829787
| 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
|
692bcf4ca6a37b28d7cd78b37196366ac2f21606
| 115
|
py
|
Python
|
lib/extensions/inplace_abn_1/__init__.py
|
shampooma/openseg.pytorch
|
d1da408a1e870d52c058c359583bc098f7f3d9e2
|
[
"MIT"
] | 2,671
|
2019-04-09T16:20:16.000Z
|
2022-03-31T19:21:29.000Z
|
lib/extensions/inplace_abn_1/__init__.py
|
shampooma/openseg.pytorch
|
d1da408a1e870d52c058c359583bc098f7f3d9e2
|
[
"MIT"
] | 245
|
2019-05-02T05:10:55.000Z
|
2022-03-31T07:14:44.000Z
|
lib/extensions/inplace_abn_1/__init__.py
|
shampooma/openseg.pytorch
|
d1da408a1e870d52c058c359583bc098f7f3d9e2
|
[
"MIT"
] | 730
|
2019-04-16T14:45:56.000Z
|
2022-03-31T08:59:22.000Z
|
from .bn import ABN, InPlaceABN, InPlaceABNSync
from .functions import ACT_RELU, ACT_LEAKY_RELU, ACT_ELU, ACT_NONE
| 38.333333
| 66
| 0.826087
| 18
| 115
| 5
| 0.666667
| 0.155556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113043
| 115
| 2
| 67
| 57.5
| 0.882353
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 1
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
15e6039e8fc572eeaac3ad290d2bd1f836aa300b
| 183
|
py
|
Python
|
vega/modules/tensformers/__init__.py
|
jie311/vega
|
1bba6100ead802697e691403b951e6652a99ccae
|
[
"MIT"
] | 724
|
2020-06-22T12:05:30.000Z
|
2022-03-31T07:10:54.000Z
|
vega/modules/tensformers/__init__.py
|
jie311/vega
|
1bba6100ead802697e691403b951e6652a99ccae
|
[
"MIT"
] | 147
|
2020-06-30T13:34:46.000Z
|
2022-03-29T11:30:17.000Z
|
vega/modules/tensformers/__init__.py
|
jie311/vega
|
1bba6100ead802697e691403b951e6652a99ccae
|
[
"MIT"
] | 160
|
2020-06-29T18:27:58.000Z
|
2022-03-23T08:42:21.000Z
|
from .embeddings import BertEmbeddings
from .encoder import BertEncoder
from .pooler import Pooler
from .pertrained_hooks import pretrained_bert_hook, pretrained_bert_classifier_hook
| 36.6
| 83
| 0.879781
| 23
| 183
| 6.73913
| 0.565217
| 0.180645
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092896
| 183
| 4
| 84
| 45.75
| 0.933735
| 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
|
c60d16dc84b1f51d0fe6d4f73e98b08bb5beed06
| 146
|
py
|
Python
|
VacationPy/api_keys.py
|
jagfinancial/python-api-challenge
|
3b15bdd8389dd208efc2fecce6a681ccde54ef6d
|
[
"ADSL"
] | null | null | null |
VacationPy/api_keys.py
|
jagfinancial/python-api-challenge
|
3b15bdd8389dd208efc2fecce6a681ccde54ef6d
|
[
"ADSL"
] | null | null | null |
VacationPy/api_keys.py
|
jagfinancial/python-api-challenge
|
3b15bdd8389dd208efc2fecce6a681ccde54ef6d
|
[
"ADSL"
] | null | null | null |
# OpenWeatherMap API Key
weather_api_key = "3796d9507516315ec2ebdc39473cc6ea"
# Google API Key
g_key = "AIzaSyDQ3DTH86ntlGML7QCVhKWSocZX8Cb4yBA"
| 24.333333
| 52
| 0.842466
| 13
| 146
| 9.230769
| 0.615385
| 0.15
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.206107
| 0.10274
| 146
| 5
| 53
| 29.2
| 0.709924
| 0.253425
| 0
| 0
| 0
| 0
| 0.669811
| 0.669811
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
c6285b947189b318c16d99d170a80d0888fc3b1c
| 6,485
|
py
|
Python
|
pvlib/test/test_tracking.py
|
dacoex/pvlib-python
|
38c0082f264a468015464aff1026a9ac864b4ed5
|
[
"BSD-3-Clause"
] | null | null | null |
pvlib/test/test_tracking.py
|
dacoex/pvlib-python
|
38c0082f264a468015464aff1026a9ac864b4ed5
|
[
"BSD-3-Clause"
] | null | null | null |
pvlib/test/test_tracking.py
|
dacoex/pvlib-python
|
38c0082f264a468015464aff1026a9ac864b4ed5
|
[
"BSD-3-Clause"
] | 2
|
2017-03-08T18:38:05.000Z
|
2018-06-08T07:29:03.000Z
|
import logging
pvl_logger = logging.getLogger('pvlib')
import datetime
import numpy as np
import pandas as pd
from nose.tools import raises, assert_almost_equals
from nose.plugins.skip import SkipTest
from pandas.util.testing import assert_frame_equal
from pvlib.location import Location
from pvlib import solarposition
from pvlib import tracking
def test_solar_noon():
apparent_zenith = pd.Series([10])
apparent_azimuth = pd.Series([180])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=0,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 10, 'surface_azimuth': 90,
'surface_tilt': 0, 'tracker_theta': 0},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
def test_azimuth_north_south():
apparent_zenith = pd.Series([60])
apparent_azimuth = pd.Series([90])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=180,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 0, 'surface_azimuth': 90,
'surface_tilt': 60, 'tracker_theta': -60},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=0,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect['tracker_theta'] *= -1
assert_frame_equal(expect, tracker_data)
def test_max_angle():
apparent_zenith = pd.Series([60])
apparent_azimuth = pd.Series([90])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=0,
max_angle=45, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 15, 'surface_azimuth': 90,
'surface_tilt': 45, 'tracker_theta': 45},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
def test_backtrack():
apparent_zenith = pd.Series([80])
apparent_azimuth = pd.Series([90])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=0,
max_angle=90, backtrack=False,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 0, 'surface_azimuth': 90,
'surface_tilt': 80, 'tracker_theta': 80},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=0,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 52.5716, 'surface_azimuth': 90,
'surface_tilt': 27.42833, 'tracker_theta': 27.4283},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
def test_axis_tilt():
apparent_zenith = pd.Series([30])
apparent_azimuth = pd.Series([135])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=30, axis_azimuth=180,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 7.286245, 'surface_azimuth': 37.3427,
'surface_tilt': 35.98741, 'tracker_theta': -20.88121},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=30, axis_azimuth=0,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 47.6632, 'surface_azimuth': 129.0303,
'surface_tilt': 42.5152, 'tracker_theta': 31.6655},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
def test_axis_azimuth():
apparent_zenith = pd.Series([30])
apparent_azimuth = pd.Series([90])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=90,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 30, 'surface_azimuth': 180,
'surface_tilt': 0, 'tracker_theta': 0},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
apparent_zenith = pd.Series([30])
apparent_azimuth = pd.Series([180])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=90,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
expect = pd.DataFrame({'aoi': 0, 'surface_azimuth': 180,
'surface_tilt': 30, 'tracker_theta': 30},
index=[0], dtype=np.float64)
assert_frame_equal(expect, tracker_data)
@raises(ValueError)
def test_index_mismatch():
apparent_zenith = pd.Series([30])
apparent_azimuth = pd.Series([90,180])
tracker_data = tracking.singleaxis(apparent_zenith, apparent_azimuth,
axis_tilt=0, axis_azimuth=90,
max_angle=90, backtrack=True,
gcr=2.0/7.0)
| 39.30303
| 81
| 0.517039
| 673
| 6,485
| 4.745914
| 0.138187
| 0.072323
| 0.055103
| 0.099875
| 0.785848
| 0.754227
| 0.754227
| 0.754227
| 0.741703
| 0.719474
| 0
| 0.069977
| 0.385197
| 6,485
| 165
| 82
| 39.30303
| 0.731126
| 0
| 0
| 0.632479
| 0
| 0
| 0.062442
| 0
| 0
| 0
| 0
| 0
| 0.102564
| 1
| 0.059829
| false
| 0
| 0.08547
| 0
| 0.145299
| 0
| 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
|
c638b2c5e25cf3da6255a0d76be797621245e3cf
| 23
|
py
|
Python
|
deepnade/buml/Results/__init__.py
|
marinakiseleva/NADE
|
69ea890fad1e775dfff2db6dad4dd9d11b6a343e
|
[
"BSD-3-Clause"
] | null | null | null |
deepnade/buml/Results/__init__.py
|
marinakiseleva/NADE
|
69ea890fad1e775dfff2db6dad4dd9d11b6a343e
|
[
"BSD-3-Clause"
] | null | null | null |
deepnade/buml/Results/__init__.py
|
marinakiseleva/NADE
|
69ea890fad1e775dfff2db6dad4dd9d11b6a343e
|
[
"BSD-3-Clause"
] | 1
|
2021-10-08T19:54:34.000Z
|
2021-10-08T19:54:34.000Z
|
from .Results import *
| 11.5
| 22
| 0.73913
| 3
| 23
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 23
| 1
| 23
| 23
| 0.894737
| 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
|
c642cc7668f9eaa2a24f87fd2cd2fe18ccbe3844
| 8,988
|
py
|
Python
|
booksoai/oaipmh.py
|
scieloorg/books-oai
|
b0114f452c2bddb00ce6414a6926c57b548fb46a
|
[
"BSD-2-Clause"
] | 1
|
2019-03-16T04:44:08.000Z
|
2019-03-16T04:44:08.000Z
|
booksoai/oaipmh.py
|
DalavanCloud/books-oai
|
b0114f452c2bddb00ce6414a6926c57b548fb46a
|
[
"BSD-2-Clause"
] | 2
|
2016-06-06T18:04:31.000Z
|
2018-02-02T15:26:54.000Z
|
booksoai/oaipmh.py
|
DalavanCloud/books-oai
|
b0114f452c2bddb00ce6414a6926c57b548fb46a
|
[
"BSD-2-Clause"
] | 2
|
2016-06-06T18:03:54.000Z
|
2019-03-16T04:43:56.000Z
|
from __future__ import unicode_literals
import plumber
from lxml import etree
from datetime import datetime
import pipeline
class BadArgumentError(Exception):
"""Raised when a Verb receives wrong args."""
class CannotDisseminateFormatError(Exception):
"""Raised when metadata format is not supported"""
class BadVerbError(Exception):
"""Raised when invalid verb is used"""
class IDDoesNotExistError(Exception):
"""Raised when identifier does not exists"""
class NoRecordsMatchError(Exception):
"""
Raised when all parameters combined
result in empty list of records
"""
class BadResumptionTokenError(Exception):
"""Raised when invalid resumption token is used"""
class IdentifyVerb(object):
data = {
'repositoryName': 'SciELO Books',
'protocolVersion': '2.0',
'adminEmail': 'scielo.books@scielo.org',
'deletedRecord': 'persistent',
'granularity': 'YYYY-MM-DD'
}
allowed_args = set(('verb',))
def __init__(self, last_book, request_kwargs, base_url):
if set(request_kwargs) != self.allowed_args:
raise BadArgumentError()
self.data['request'] = request_kwargs
self.data['baseURL'] = base_url
self.data['earliestDatestamp'] = last_book.get('updated', datetime.now().date().isoformat())
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.IdentifyNodePipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class ListMetadataFormatsVerb(object):
data = {
'formats': [
{
'prefix': 'oai_dc',
'schema': 'http://www.openarchives.org/OAI/2.0/oai_dc.xsd',
'namespace': 'http://www.openarchives.org/OAI/2.0/oai_dc/'
}
]
}
allowed_args = set(('identifier', 'verb'))
def __init__(self, request_kwargs, base_url):
diff = set(request_kwargs) - self.allowed_args
if diff:
raise BadArgumentError()
self.data['request'] = request_kwargs
self.data['baseURL'] = base_url
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.ListMetadataFormatsPipe(),
pipeline.MetadataFormatPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class ListIdentifiersVerb(object):
allowed_args = set(('from', 'until', 'set', 'resumptionToken', 'metadataPrefix', 'verb'))
def __init__(self, books, request_kwargs, base_url):
request_set = set(request_kwargs)
diff = request_set - self.allowed_args
if not 'resumptionToken' in request_set and not 'metadataPrefix' in request_set:
raise BadArgumentError()
if diff:
raise BadArgumentError()
self.data = {
'request': request_kwargs,
'baseURL': base_url,
'books': books,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.ListIdentifiersPipe(),
pipeline.TearDownPipe()
)
result = ppl.run([self.data])
return next(result)
class ListSetsVerb(object):
allowed_args = set(('resumptionToken', 'verb'))
def __init__(self, books, request_kwargs, base_url):
diff = set(request_kwargs) - self.allowed_args
if diff:
raise BadArgumentError()
self.data = {
'request': request_kwargs,
'baseURL': base_url,
'books': books.distinct('publisher'),
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.ListSetsPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class GetRecordVerb(object):
required_args = set(('identifier', 'metadataPrefix', 'verb'))
def __init__(self, books, request_kwargs, base_url):
if set(request_kwargs) != self.required_args:
raise BadArgumentError()
self.data = {
'request': request_kwargs,
'baseURL': base_url,
'books': books
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.GetRecordPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class ListRecordsVerb(object):
allowed_args = set(('from', 'until', 'set', 'resumptionToken', 'metadataPrefix', 'verb'))
def __init__(self, books, request_kwargs, base_url):
request_set = set(request_kwargs)
diff = request_set - self.allowed_args
if not 'resumptionToken' in request_set and not 'metadataPrefix' in request_set:
raise BadArgumentError()
if diff:
raise BadArgumentError()
self.data = {
'request': request_kwargs,
'baseURL': base_url,
'books': books,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.ListRecordsPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class CannotDisseminateFormat(object):
def __init__(self, request_kwargs, base_url):
self.data = {
'request': request_kwargs,
'baseURL': base_url,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.MetadataFormatErrorPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class BadVerb(object):
def __init__(self, request_kwargs, base_url):
self.data = {
'request': request_kwargs,
'baseURL': base_url,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.BadVerbPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class IDDoesNotExist(object):
def __init__(self, request_kwargs, base_url):
self.data = {
'request': request_kwargs,
'baseURL': base_url,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.IdNotExistPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class NoRecordsMatch(object):
def __init__(self, request_kwargs, base_url):
self.data = {
'request': request_kwargs,
'baseURL': base_url,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.NoRecordsPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class BadArgument(object):
def __init__(self, request_kwargs, base_url, books=None):
self.data = {
'request': request_kwargs,
'baseURL': base_url,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.BadArgumentPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
class BadResumptionToken(object):
def __init__(self, request_kwargs, base_url, books=None):
self.data = {
'request': request_kwargs,
'baseURL': base_url,
}
def __str__(self):
ppl = plumber.Pipeline(
pipeline.SetupPipe(),
pipeline.ResponseDatePipe(),
pipeline.RequestPipe(),
pipeline.BadResumptionTokenPipe(),
pipeline.TearDownPipe()
)
results = ppl.run([self.data])
return next(results)
| 24.897507
| 100
| 0.576435
| 800
| 8,988
| 6.25125
| 0.17
| 0.077984
| 0.026395
| 0.04799
| 0.726655
| 0.726655
| 0.720456
| 0.718256
| 0.716657
| 0.687063
| 0
| 0.00097
| 0.311972
| 8,988
| 360
| 101
| 24.966667
| 0.80773
| 0.029929
| 0
| 0.662651
| 0
| 0
| 0.078165
| 0.002652
| 0
| 0
| 0
| 0
| 0
| 1
| 0.096386
| false
| 0
| 0.02008
| 0
| 0.269076
| 0
| 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
|
c657d8bfb322dd5002f78a47fc6ad0b585ab1382
| 403
|
py
|
Python
|
packages/markblocks/markblocks/lex/listlexer.py
|
stattikcms/stattik
|
5c96d600d105461edb95a11d8050dee3c32edd1e
|
[
"MIT"
] | 1
|
2021-11-05T06:24:28.000Z
|
2021-11-05T06:24:28.000Z
|
packages/markblocks/markblocks/lex/listlexer.py
|
stattikcms/stattik
|
5c96d600d105461edb95a11d8050dee3c32edd1e
|
[
"MIT"
] | null | null | null |
packages/markblocks/markblocks/lex/listlexer.py
|
stattikcms/stattik
|
5c96d600d105461edb95a11d8050dee3c32edd1e
|
[
"MIT"
] | null | null | null |
from .lexer import Lexer
class ListLexer(Lexer):
tokens = Lexer.tokens
fingerprints = [
(r'(?P<UL>^\*( +)?)', 'UL'),
(r'(?P<OL>^\d+.( +)?)', 'OL'),
]
def __init__(self):
super().__init__()
@_(r'^\*( +)?')
def UL(self, t):
return t
@_(r'^\d+.( +)?')
def OL(self, t):
return t
@_(r'.')
def SPAN(self, t):
return t
| 18.318182
| 38
| 0.419355
| 47
| 403
| 3.361702
| 0.404255
| 0.094937
| 0.208861
| 0.227848
| 0.164557
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.330025
| 403
| 22
| 39
| 18.318182
| 0.585185
| 0
| 0
| 0.166667
| 0
| 0
| 0.141089
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.055556
| 0.166667
| 0.611111
| 0.055556
| 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
|
d6848f01064221cf2643bf09ab3bba76151a40d4
| 205
|
py
|
Python
|
main/PluginDemos/connectivityTest/Simulation/connectivityTest.py
|
JulianoGianlupi/nh-cc3d-4x-base-tool
|
c0f4aceebd4c5bf3ec39e831ef851e419b161259
|
[
"CC0-1.0"
] | null | null | null |
main/PluginDemos/connectivityTest/Simulation/connectivityTest.py
|
JulianoGianlupi/nh-cc3d-4x-base-tool
|
c0f4aceebd4c5bf3ec39e831ef851e419b161259
|
[
"CC0-1.0"
] | null | null | null |
main/PluginDemos/connectivityTest/Simulation/connectivityTest.py
|
JulianoGianlupi/nh-cc3d-4x-base-tool
|
c0f4aceebd4c5bf3ec39e831ef851e419b161259
|
[
"CC0-1.0"
] | 1
|
2021-02-26T21:50:29.000Z
|
2021-02-26T21:50:29.000Z
|
from cc3d import CompuCellSetup
from connectivityTestSteppables import connectivityTestSteppable
CompuCellSetup.register_steppable(steppable=connectivityTestSteppable(frequency=1))
CompuCellSetup.run()
| 25.625
| 83
| 0.887805
| 17
| 205
| 10.647059
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010417
| 0.063415
| 205
| 7
| 84
| 29.285714
| 0.932292
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 1
| 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
|
d6859b005c6f17914c88f345695e794297b1e815
| 59
|
py
|
Python
|
models/genetic_algorithms/__init__.py
|
njellinas/ai-steroids
|
40e0013bdacb8bee1236305c1384f6b5ac8bd807
|
[
"MIT"
] | null | null | null |
models/genetic_algorithms/__init__.py
|
njellinas/ai-steroids
|
40e0013bdacb8bee1236305c1384f6b5ac8bd807
|
[
"MIT"
] | null | null | null |
models/genetic_algorithms/__init__.py
|
njellinas/ai-steroids
|
40e0013bdacb8bee1236305c1384f6b5ac8bd807
|
[
"MIT"
] | null | null | null |
from models.genetic_algorithms.population import Population
| 59
| 59
| 0.915254
| 7
| 59
| 7.571429
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.050847
| 59
| 1
| 59
| 59
| 0.946429
| 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
|
d6d4a59aaae6c52a8e517ab6fdf2ff853e934000
| 44
|
py
|
Python
|
python/testData/addImport/newFirstImportInBuiltinGroup/main.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/addImport/newFirstImportInBuiltinGroup/main.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/addImport/newFirstImportInBuiltinGroup/main.py
|
truthiswill/intellij-community
|
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
import sys
import a
print(datetime, sys, a)
| 11
| 23
| 0.75
| 8
| 44
| 4.125
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159091
| 44
| 4
| 23
| 11
| 0.891892
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0.333333
| 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
|
ba389c274378dda4739cb2b43943f78e0f632ed1
| 1,359
|
py
|
Python
|
src/pbn_api/migrations/0021_auto_20210808_1204.py
|
iplweb/django-bpp
|
85f183a99d8d5027ae4772efac1e4a9f21675849
|
[
"BSD-3-Clause"
] | 1
|
2017-04-27T19:50:02.000Z
|
2017-04-27T19:50:02.000Z
|
src/pbn_api/migrations/0021_auto_20210808_1204.py
|
mpasternak/django-bpp
|
434338821d5ad1aaee598f6327151aba0af66f5e
|
[
"BSD-3-Clause"
] | 41
|
2019-11-07T00:07:02.000Z
|
2022-02-27T22:09:39.000Z
|
src/pbn_api/migrations/0021_auto_20210808_1204.py
|
iplweb/bpp
|
f027415cc3faf1ca79082bf7bacd4be35b1a6fdf
|
[
"BSD-3-Clause"
] | null | null | null |
# Generated by Django 3.0.14 on 2021-08-08 10:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("pbn_api", "0020_przemapuj"),
]
operations = [
migrations.AlterField(
model_name="scientist",
name="lastName",
field=models.TextField(blank=True, db_index=True, null=True),
),
migrations.AlterField(
model_name="scientist",
name="name",
field=models.TextField(blank=True, db_index=True, null=True),
),
migrations.AlterField(
model_name="scientist",
name="orcid",
field=models.TextField(blank=True, db_index=True, null=True),
),
migrations.AlterField(
model_name="scientist",
name="pbnId",
field=models.TextField(blank=True, db_index=True, null=True),
),
migrations.AlterField(
model_name="scientist",
name="polonUid",
field=models.TextField(blank=True, db_index=True, null=True),
),
migrations.AlterField(
model_name="scientist",
name="qualifications",
field=models.TextField(
blank=True, db_index=True, null=True, verbose_name="Tytuł"
),
),
]
| 29.543478
| 74
| 0.557763
| 133
| 1,359
| 5.586466
| 0.308271
| 0.161507
| 0.201884
| 0.234186
| 0.726783
| 0.726783
| 0.670256
| 0.670256
| 0.670256
| 0.670256
| 0
| 0.021739
| 0.323032
| 1,359
| 45
| 75
| 30.2
| 0.78587
| 0.033848
| 0
| 0.615385
| 1
| 0
| 0.094584
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.025641
| 0
| 0.102564
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
ba461124d0a9ab2a2e0ef88850964f9e884cd6d4
| 1,471
|
py
|
Python
|
tests/test_application_support.py
|
sturmianseq/thundra-agent-python
|
4cee02d790eb7b8e4dea4e2e9dcd1f67533b1c56
|
[
"Apache-2.0"
] | 22
|
2018-03-05T20:02:46.000Z
|
2021-04-09T12:00:18.000Z
|
tests/test_application_support.py
|
sturmianseq/thundra-agent-python
|
4cee02d790eb7b8e4dea4e2e9dcd1f67533b1c56
|
[
"Apache-2.0"
] | 13
|
2018-03-26T07:57:57.000Z
|
2021-06-29T14:22:52.000Z
|
tests/test_application_support.py
|
thundra-io/thundra-agent-python
|
448e18c17d8730c381b2e2a773782cf80c5a7cfb
|
[
"Apache-2.0"
] | 3
|
2021-08-07T14:19:23.000Z
|
2021-12-08T15:35:40.000Z
|
from thundra.application.application_info_provider import ApplicationInfoProvider
from thundra.config import config_names
from thundra.config.config_provider import ConfigProvider
def test_if_can_get_integer_tag():
tag_name = 'integerField'
(env_key, env_val) = (config_names.THUNDRA_APPLICATION_TAG_PREFIX + tag_name, 3773)
ConfigProvider.set(env_key, str(env_val))
application_tags = ApplicationInfoProvider.parse_application_tags()
assert application_tags[tag_name] == env_val
def test_if_can_get_float_tag():
tag_name = 'floatField'
(env_key, env_val) = (config_names.THUNDRA_APPLICATION_TAG_PREFIX + tag_name, 12.3221)
ConfigProvider.set(env_key, str(env_val))
application_tags = ApplicationInfoProvider.parse_application_tags()
assert application_tags[tag_name] == env_val
def test_if_can_get_string_tag():
tag_name = 'stringField'
(env_key, env_val) = (config_names.THUNDRA_APPLICATION_TAG_PREFIX + tag_name, 'fooBar')
ConfigProvider.set(env_key, str(env_val))
application_tags = ApplicationInfoProvider.parse_application_tags()
assert application_tags[tag_name] == env_val
def test_if_can_get_bool_tag():
tag_name = 'boolField'
(env_key, env_val) = (config_names.THUNDRA_APPLICATION_TAG_PREFIX + tag_name, True)
ConfigProvider.set(env_key, str(env_val))
application_tags = ApplicationInfoProvider.parse_application_tags()
assert application_tags[tag_name] == env_val
| 33.431818
| 91
| 0.78518
| 194
| 1,471
| 5.5
| 0.201031
| 0.078725
| 0.033739
| 0.044986
| 0.73477
| 0.720712
| 0.720712
| 0.720712
| 0.720712
| 0.720712
| 0
| 0.007819
| 0.130523
| 1,471
| 43
| 92
| 34.209302
| 0.826427
| 0
| 0
| 0.444444
| 0
| 0
| 0.032631
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 1
| 0.148148
| false
| 0
| 0.111111
| 0
| 0.259259
| 0
| 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
|
ba4e5a47df9a1c04c2352fe65ad51bdbf29bb5ea
| 42
|
py
|
Python
|
Blinkee/Utils/__init__.py
|
terenaa/is-blinkee-nearby
|
0ebf4d3007395ebe6f9283dd09ab325b8f361be2
|
[
"MIT"
] | 1
|
2019-09-18T03:30:59.000Z
|
2019-09-18T03:30:59.000Z
|
Blinkee/Utils/__init__.py
|
terenaa/is-blinkee-nearby
|
0ebf4d3007395ebe6f9283dd09ab325b8f361be2
|
[
"MIT"
] | 3
|
2018-08-27T11:55:36.000Z
|
2021-08-24T16:54:36.000Z
|
Blinkee/Utils/__init__.py
|
terenaa/is-blinkee-nearby
|
0ebf4d3007395ebe6f9283dd09ab325b8f361be2
|
[
"MIT"
] | null | null | null |
from .Cache import *
from .Utils import *
| 14
| 20
| 0.714286
| 6
| 42
| 5
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 42
| 2
| 21
| 21
| 0.882353
| 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
|
baadf5b6a2a9d890b5b08db05c94ab43db51b053
| 154
|
py
|
Python
|
src/common/utils/__init__.py
|
JonasFrey96/RPOSE
|
7da77499ab777ce7ee37b731541982870da8d40b
|
[
"BSD-3-Clause"
] | null | null | null |
src/common/utils/__init__.py
|
JonasFrey96/RPOSE
|
7da77499ab777ce7ee37b731541982870da8d40b
|
[
"BSD-3-Clause"
] | null | null | null |
src/common/utils/__init__.py
|
JonasFrey96/RPOSE
|
7da77499ab777ce7ee37b731541982870da8d40b
|
[
"BSD-3-Clause"
] | null | null | null |
from .loading import *
from .utils_dict_list import *
from .get_logger import get_neptune_logger, get_tensorboard_logger
from .map_dict import Map,DotDict
| 38.5
| 66
| 0.844156
| 24
| 154
| 5.083333
| 0.5
| 0.163934
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103896
| 154
| 4
| 67
| 38.5
| 0.884058
| 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
|
bac101b295130fa841be5de62c508bc47b701dd7
| 157
|
py
|
Python
|
coffee_machine/coffees/__init__.py
|
mpszumowski/Coffee-Machine
|
acab8b1b7769d856d5746257507529bcdc9ba7de
|
[
"MIT"
] | null | null | null |
coffee_machine/coffees/__init__.py
|
mpszumowski/Coffee-Machine
|
acab8b1b7769d856d5746257507529bcdc9ba7de
|
[
"MIT"
] | null | null | null |
coffee_machine/coffees/__init__.py
|
mpszumowski/Coffee-Machine
|
acab8b1b7769d856d5746257507529bcdc9ba7de
|
[
"MIT"
] | null | null | null |
from .abc_coffee import AbcCoffeeProgram
from .ingredients import Milk, Coffee
from .programs import (Cappuccino, Doppio, Espresso, Latte, Lungo, Macchiato)
| 39.25
| 77
| 0.815287
| 19
| 157
| 6.684211
| 0.736842
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| 3
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| 1
| 0
|
0
| 5
|
240bde0f8131918a3473ed043729e630fcb5c13f
| 104
|
py
|
Python
|
kubed/client/__init__.py
|
joeblackwaslike/kubed
|
1ee62e269a53d70177330961dc52b9fe4e84b90d
|
[
"Apache-2.0"
] | null | null | null |
kubed/client/__init__.py
|
joeblackwaslike/kubed
|
1ee62e269a53d70177330961dc52b9fe4e84b90d
|
[
"Apache-2.0"
] | null | null | null |
kubed/client/__init__.py
|
joeblackwaslike/kubed
|
1ee62e269a53d70177330961dc52b9fe4e84b90d
|
[
"Apache-2.0"
] | null | null | null |
from . import config, client, context
from .client import APIClient
from .context import ClientContext
| 20.8
| 37
| 0.807692
| 13
| 104
| 6.461538
| 0.538462
| 0
| 0
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| 0.144231
| 104
| 4
| 38
| 26
| 0.94382
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| 1
| 0
| 1
| 0
|
0
| 5
|
24211de62e5f7ff2f91d6b34c32a4b78c252bb72
| 284
|
py
|
Python
|
tools/replace_fs.py
|
Dezorian/esp-canary
|
8cb597120b53d64e56a41e723539c371012b50fe
|
[
"MIT"
] | 20
|
2021-05-06T19:36:01.000Z
|
2022-03-16T18:30:28.000Z
|
tools/replace_fs.py
|
shafr/esp-honeypot
|
add1daf680d12cf45776f87da6a478ab3576c974
|
[
"MIT"
] | 16
|
2021-05-06T19:11:34.000Z
|
2021-12-23T19:26:16.000Z
|
tools/replace_fs.py
|
Dezorian/esp-canary
|
8cb597120b53d64e56a41e723539c371012b50fe
|
[
"MIT"
] | 3
|
2021-05-12T10:24:30.000Z
|
2021-12-22T00:10:01.000Z
|
Import("env")
import platform
if platform.system() == 'Windows':
print("Replace MKSPIFFSTOOL with mklittlefs.exe")
env.Replace (MKSPIFFSTOOL = "tools/mklittlefs.exe")
else:
print("Replace MKSPIFFSTOOL with mklittlefs")
env.Replace (MKSPIFFSTOOL = "tools/mklittlefs")
| 31.555556
| 55
| 0.725352
| 31
| 284
| 6.645161
| 0.451613
| 0.368932
| 0.23301
| 0.271845
| 0.728155
| 0
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| 0.144366
| 284
| 9
| 56
| 31.555556
| 0.847737
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| null | 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2457565434613978e65824abeb9173e30c73221a
| 480
|
py
|
Python
|
envpy/__init__.py
|
Combofoods/pyenv
|
8b33173e593054b8d46a8c3be99c44f7294c7069
|
[
"MIT"
] | 1
|
2020-07-22T12:19:26.000Z
|
2020-07-22T12:19:26.000Z
|
envpy/__init__.py
|
Combofoods/pyenv
|
8b33173e593054b8d46a8c3be99c44f7294c7069
|
[
"MIT"
] | null | null | null |
envpy/__init__.py
|
Combofoods/pyenv
|
8b33173e593054b8d46a8c3be99c44f7294c7069
|
[
"MIT"
] | null | null | null |
import os
from envpy.variables import Var as Variables
from envpy.variables import __printenv__
def get_variables(readFile:bool=True, requiredFile:bool=False, readOS:bool=True, filepath:str=f'{os.getcwd()}', filename:str='.env', prefix:str=''):
return Variables(readFile=readFile, requiredFile=requiredFile, readOS=readOS, filepath=filepath, filename=filename, prefix=prefix).get_all_variables()
def printenv(variables, preat:bool=True):
__printenv__(variables, preat)
| 43.636364
| 154
| 0.789583
| 62
| 480
| 5.935484
| 0.419355
| 0.065217
| 0.097826
| 0.130435
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0875
| 480
| 11
| 155
| 43.636364
| 0.840183
| 0
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| 0.035343
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| 1
| 0.285714
| false
| 0
| 0.428571
| 0.142857
| 0.857143
| 0.428571
| 0
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| null | 0
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| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
|
0
| 5
|
24685b6b4438884df1658a8b24d9222661482d53
| 279
|
py
|
Python
|
pyaudio_fix.py
|
cyberboysumanjay/VoiceAssistant
|
a8dcfe6bf5fdbbdbfc50cd2a20f646d8844d4297
|
[
"MIT"
] | 11
|
2018-09-23T10:15:40.000Z
|
2022-02-13T19:49:59.000Z
|
pyaudio_fix.py
|
ALBINPRAVEEN/Jarvis-Assistant
|
4269088a484ac57b5adb3417efb5b78c7a7d89ed
|
[
"FSFAP"
] | null | null | null |
pyaudio_fix.py
|
ALBINPRAVEEN/Jarvis-Assistant
|
4269088a484ac57b5adb3417efb5b78c7a7d89ed
|
[
"FSFAP"
] | 3
|
2020-06-28T02:47:43.000Z
|
2021-08-16T19:03:12.000Z
|
"""
import pyaudio
p = pyaudio.PyAudio()
for i in range(p.get_device_count())
print(p.get_device_info_by_index(i))
"""
import pyaudio
p = pyaudio.PyAudio()
for i in range(p.get_device_count()):
info = p.get_device_info_by_index(i)
print(info['index'], info['name'])
| 21.461538
| 40
| 0.698925
| 47
| 279
| 3.893617
| 0.319149
| 0.087432
| 0.218579
| 0.229508
| 0.830601
| 0.830601
| 0.830601
| 0.590164
| 0.590164
| 0.590164
| 0
| 0
| 0.139785
| 279
| 12
| 41
| 23.25
| 0.7625
| 0.408602
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| 0
| 0.057325
| 0
| 0
| 0
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| false
| 0
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| 0.2
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| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2469efb06c9e4b043a1091af06f2066f495a964d
| 4,847
|
py
|
Python
|
epytope/Data/pssms/arb/mat/A_0203_11.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_0203_11.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_0203_11.py
|
christopher-mohr/epytope
|
8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd
|
[
"BSD-3-Clause"
] | 4
|
2021-05-28T08:50:38.000Z
|
2022-03-14T11:45:32.000Z
|
A_0203_11 = {0: {'A': -0.12570904708437197, 'C': -0.20260572185781892, 'E': -4.0, 'D': -4.0, 'G': -4.0, 'F': -4.0, 'I': 0.7830374415420228, 'H': -0.6847918068824875, 'K': -0.6847918068824875, 'M': 0.981018297402464, 'L': 1.1760718746127061, 'N': -0.09649609424570203, 'Q': 0.39410708558422325, 'P': -4.0, 'S': -0.20260572185781892, 'R': -0.4643452234664465, 'T': -0.20260572185781892, 'W': -4.0, 'V': 0.981018297402464, 'Y': -4.0}, 1: {'A': -0.3403513392977473, 'C': -0.5706629683616748, 'E': -0.8255548505683803, 'D': -0.8255548505683803, 'G': -4.0, 'F': -4.0, 'I': 0.9531395462189001, 'H': -4.0, 'K': -4.0, 'M': 0.6129250324406762, 'L': 1.228331821009925, 'N': -4.0, 'Q': -4.0, 'P': -4.0, 'S': -0.5706629683616748, 'R': -4.0, 'T': -0.562748417416651, 'W': -4.0, 'V': -0.33761786332302834, 'Y': -4.0}, 2: {'A': -4.0, 'C': -4.0, 'E': 0.23670505214784382, 'D': 0.23670505214784382, 'G': -4.0, 'F': -4.0, 'I': 0.42243027379318165, 'H': -1.1231934889064845, 'K': -1.1231934889064845, 'M': 0.42243027379318165, 'L': 0.49079465357298746, 'N': -0.6340925619710869, 'Q': -0.9864687962058627, 'P': 0.8737459206814067, 'S': -4.0, 'R': -1.2985424934801089, 'T': -4.0, 'W': -4.0, 'V': 0.42243027379318165, 'Y': -4.0}, 3: {'A': -4.0, 'C': -0.10268688515087193, 'E': 0.798625443205945, 'D': 0.04685544415564716, 'G': -0.8713665210100304, 'F': -0.11724471547541107, 'I': 0.5023433941416019, 'H': 0.1964127848099425, 'K': 0.1964127848099425, 'M': 0.5023433941416019, 'L': 0.8648526865940196, 'N': -1.246319293273537, 'Q': -1.246319293273537, 'P': -4.0, 'S': -0.225063321826744, 'R': 0.1964127848099425, 'T': -0.10268688515087193, 'W': -0.11724471547541107, 'V': 0.5023433941416019, 'Y': -0.11724471547541107}, 4: {'A': -0.15538479149430195, 'C': -0.5729222482329892, 'E': 0.5608828212675953, 'D': 0.4377951470419558, 'G': 0.9044127857344268, 'F': -4.0, 'I': -0.37532329845920753, 'H': 0.7629678170164823, 'K': 0.7629678170164823, 'M': -0.30615329374291206, 'L': -0.30615329374291206, 'N': 0.1902506596653246, 'Q': -0.02201461690735955, 'P': -4.0, 'S': -0.7926623896862102, 'R': 0.7629678170164823, 'T': -0.5729222482329892, 'W': -4.0, 'V': -0.30615329374291206, 'Y': -4.0}, 5: {'A': -4.0, 'C': 0.24400425857325767, 'E': -0.09482336309954434, 'D': 0.11453889603948189, 'G': -0.05773521834250697, 'F': -4.0, 'I': 0.9402027034114638, 'H': -0.17809486610864272, 'K': -0.17809486610864272, 'M': -0.13069486723141577, 'L': -1.0852448817585207, 'N': -4.0, 'Q': -4.0, 'P': -4.0, 'S': 0.24400425857325767, 'R': -0.17313599795719686, 'T': 0.24400425857325767, 'W': -4.0, 'V': -0.13069486723141577, 'Y': -4.0}, 6: {'A': -4.0, 'C': -0.23263505475693882, 'E': -0.139933797054501, 'D': -1.0294883184337862, 'G': 0.2745172870714848, 'F': -4.0, 'I': 0.002696009692144382, 'H': -4.0, 'K': -4.0, 'M': 0.002696009692144382, 'L': 0.20098566078545885, 'N': -4.0, 'Q': -4.0, 'P': -0.013076289259420854, 'S': -0.23263505475693882, 'R': -4.0, 'T': -0.5182826632227399, 'W': -4.0, 'V': 0.1886119940743905, 'Y': -4.0}, 7: {'A': -0.7959587403534084, 'C': -0.4056706424113438, 'E': 0.04508448172902091, 'D': 0.04508448172902091, 'G': 0.3178958696288293, 'F': -0.3919711008500978, 'I': 0.693568217814708, 'H': -0.22333454873323907, 'K': -0.22333454873323907, 'M': 0.693568217814708, 'L': 0.7163076440262162, 'N': -0.18296238410395974, 'Q': -0.18296238410395974, 'P': -4.0, 'S': -0.4056706424113438, 'R': -0.22333454873323907, 'T': 0.2038261916632583, 'W': -0.3919711008500978, 'V': 0.693568217814708, 'Y': -0.3919711008500978}, 8: {'A': -4.0, 'C': 0.26023555367482776, 'E': -0.3538520240116577, 'D': -0.23418903787985348, 'G': -4.0, 'F': -1.1226887683330944, 'I': 0.582578651051582, 'H': -0.1888189196560037, 'K': -0.1888189196560037, 'M': 0.582578651051582, 'L': 1.2978761471202371, 'N': 0.6545307662702273, 'Q': 0.3292391040113501, 'P': -4.0, 'S': 0.26023555367482776, 'R': -0.1888189196560037, 'T': 0.26023555367482776, 'W': -1.1226887683330944, 'V': 0.582578651051582, 'Y': -1.1226887683330944}, 9: {'A': 0.20062112019547046, 'C': -0.2854309411856969, 'E': -4.0, 'D': -4.0, 'G': -0.6046621948352506, 'F': -4.0, 'I': 0.7395851595080252, 'H': -0.5200214452987034, 'K': -0.5200214452987034, 'M': 0.3813834296984175, 'L': 0.24856066321801923, 'N': -0.7874703169589286, 'Q': -0.7874703169589286, 'P': -4.0, 'S': -0.2854309411856969, 'R': -0.5200214452987034, 'T': -0.404652124993784, 'W': -4.0, 'V': 0.18080996663942733, 'Y': -4.0}, 10: {'A': 0.3821540129505695, 'C': -4.0, 'E': -4.0, 'D': -4.0, 'G': -4.0, 'F': -1.3249184992500316, 'I': 0.7372045737079358, 'H': -1.2530000347896086, 'K': -1.2530000347896086, 'M': 1.1325335673883987, 'L': 0.015146957676202309, 'N': -4.0, 'Q': -4.0, 'P': -4.0, 'S': -4.0, 'R': -1.2530000347896086, 'T': -4.0, 'W': -1.3249184992500316, 'V': 1.5210080375139177, 'Y': -1.3267309428143914}, -1: {'slope': 0.11563050533541314, 'intercept': -0.058700970796826395}}
| 4,847
| 4,847
| 0.637095
| 681
| 4,847
| 4.531571
| 0.202643
| 0.042774
| 0.008749
| 0.011666
| 0.075178
| 0.033053
| 0.033053
| 0.028516
| 0.01685
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| 0.094285
| 4,847
| 1
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| 4,847
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| 0
|
0
| 5
|
79ee257a6e81aff9dbeef481d3f2ffa679f4e55f
| 261
|
py
|
Python
|
reamber/bms/lists/notes/BMSNoteList.py
|
Bestfast/reamberPy
|
91b76ca6adf11fbe8b7cee7c186481776a4d7aaa
|
[
"MIT"
] | null | null | null |
reamber/bms/lists/notes/BMSNoteList.py
|
Bestfast/reamberPy
|
91b76ca6adf11fbe8b7cee7c186481776a4d7aaa
|
[
"MIT"
] | null | null | null |
reamber/bms/lists/notes/BMSNoteList.py
|
Bestfast/reamberPy
|
91b76ca6adf11fbe8b7cee7c186481776a4d7aaa
|
[
"MIT"
] | null | null | null |
from abc import ABC
from typing import List, Type
from reamber.base.lists.notes.NoteList import NoteList
class BMSNoteList(NoteList, ABC):
def data(self) -> List[Type]: pass
def samples(self) -> List[float]:
return self.attribute('sample')
| 20.076923
| 54
| 0.708812
| 36
| 261
| 5.138889
| 0.611111
| 0.086486
| 0
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| 0
| 0.183908
| 261
| 12
| 55
| 21.75
| 0.868545
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| 0.023077
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| 0
| 1
| 0.285714
| false
| 0.142857
| 0.428571
| 0.142857
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| null | 0
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| 1
| 0
| 1
| 1
| 1
| 1
| 0
|
0
| 5
|
035fd4e11ff8cdfd3b51151077ef144b5f439568
| 108
|
py
|
Python
|
Python/basic/django/minimal/echo/views.py
|
caa06d9c/Python-examples
|
9d90b9a9adfc343f9fdfab814cfc2b05219d6920
|
[
"MIT"
] | 5
|
2019-10-28T09:56:26.000Z
|
2021-09-03T04:51:18.000Z
|
Python/basic/django/minimal/echo/views.py
|
caa06d9c/Python-examples
|
9d90b9a9adfc343f9fdfab814cfc2b05219d6920
|
[
"MIT"
] | null | null | null |
Python/basic/django/minimal/echo/views.py
|
caa06d9c/Python-examples
|
9d90b9a9adfc343f9fdfab814cfc2b05219d6920
|
[
"MIT"
] | 4
|
2019-10-28T09:56:30.000Z
|
2021-09-03T04:51:23.000Z
|
from django.http import HttpResponse
def index(request):
return HttpResponse(request.get_full_path())
| 18
| 48
| 0.787037
| 14
| 108
| 5.928571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12963
| 108
| 5
| 49
| 21.6
| 0.882979
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
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| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
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| null | 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 5
|
302802899cbe877d306af7d92c456a506768688c
| 103
|
py
|
Python
|
utils/__init__.py
|
riven314/AL-MDN
|
5f843e2e7c99f3ae36e8139ec0d8aaa4a78d4962
|
[
"BSD-Source-Code"
] | 59
|
2021-10-13T22:59:19.000Z
|
2022-03-26T20:44:47.000Z
|
utils/__init__.py
|
jwchoi384/AL-MDN
|
54aaae4405c69b33998e5b5306c7c645780d473c
|
[
"BSD-Source-Code"
] | 10
|
2021-11-02T06:35:24.000Z
|
2022-03-26T21:08:06.000Z
|
utils/__init__.py
|
jwchoi384/AL-MDN
|
54aaae4405c69b33998e5b5306c7c645780d473c
|
[
"BSD-Source-Code"
] | 9
|
2021-10-14T09:48:05.000Z
|
2022-03-27T06:04:32.000Z
|
# Originated from https://github.com/amdegroot/ssd.pytorch
from .augmentations import SSDAugmentation
| 25.75
| 58
| 0.825243
| 12
| 103
| 7.083333
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087379
| 103
| 3
| 59
| 34.333333
| 0.904255
| 0.543689
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| true
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| 0
| 0
| 0
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| 0
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| 1
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
30325bbf9ed4d06063912ef3759ddd07cefbb4f5
| 133
|
py
|
Python
|
python/numba_chol.py
|
sevagh/cholesky
|
bf5404bdaab497409c517312d5a234c6a5ffe9cf
|
[
"BSD-3-Clause"
] | null | null | null |
python/numba_chol.py
|
sevagh/cholesky
|
bf5404bdaab497409c517312d5a234c6a5ffe9cf
|
[
"BSD-3-Clause"
] | null | null | null |
python/numba_chol.py
|
sevagh/cholesky
|
bf5404bdaab497409c517312d5a234c6a5ffe9cf
|
[
"BSD-3-Clause"
] | null | null | null |
import numpy as np
from numba import jit
@jit
def cholesky(in_arr, out_arr, n):
np.copyto(out_arr, np.linalg.cholesky(in_arr))
| 16.625
| 50
| 0.736842
| 25
| 133
| 3.76
| 0.6
| 0.212766
| 0.276596
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 133
| 7
| 51
| 19
| 0.839286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
30350c07d409b3ddee9b9e26e89145475e5ec90e
| 120
|
py
|
Python
|
tmp/admin.py
|
infiltratorXYZ/invoicer
|
9b3542040b0e8268b2f725eeee8b806f9ca61a6d
|
[
"MIT"
] | null | null | null |
tmp/admin.py
|
infiltratorXYZ/invoicer
|
9b3542040b0e8268b2f725eeee8b806f9ca61a6d
|
[
"MIT"
] | null | null | null |
tmp/admin.py
|
infiltratorXYZ/invoicer
|
9b3542040b0e8268b2f725eeee8b806f9ca61a6d
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Invoice
# Register your models here.
admin.site.register(Invoice)
| 20
| 32
| 0.808333
| 17
| 120
| 5.705882
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 120
| 5
| 33
| 24
| 0.92381
| 0.216667
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| 0
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| 1
| 0
| true
| 0
| 0.666667
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| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
304a63e43cefe3d1aae18e577a8dfda944354797
| 133
|
py
|
Python
|
Python/basic-py/exercise_13.py
|
nhutnamhcmus/code
|
22b528084ed234fcabca89cf1ba02a2c347007bc
|
[
"MIT"
] | 1
|
2020-10-12T18:33:22.000Z
|
2020-10-12T18:33:22.000Z
|
Python/basic-py/exercise_13.py
|
nhutnamhcmus/code
|
22b528084ed234fcabca89cf1ba02a2c347007bc
|
[
"MIT"
] | null | null | null |
Python/basic-py/exercise_13.py
|
nhutnamhcmus/code
|
22b528084ed234fcabca89cf1ba02a2c347007bc
|
[
"MIT"
] | null | null | null |
def even_square_sum(list):
even = [x * x for x in list if x % 2 == 0]
return sum(even)
print(even_square_sum([1, 2, 3, 4, 5]))
| 26.6
| 44
| 0.609023
| 28
| 133
| 2.75
| 0.607143
| 0.25974
| 0.337662
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067961
| 0.225564
| 133
| 5
| 45
| 26.6
| 0.679612
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0.25
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
3071af0749c01686288f8589d2c98b2a1b6a707c
| 153
|
py
|
Python
|
modules/Export_To_File.py
|
Blackfoot50115/Password_Generator
|
2e99708fae5a3cc91702b68497e4520a558481b3
|
[
"MIT"
] | null | null | null |
modules/Export_To_File.py
|
Blackfoot50115/Password_Generator
|
2e99708fae5a3cc91702b68497e4520a558481b3
|
[
"MIT"
] | 7
|
2019-05-09T04:17:51.000Z
|
2019-05-16T00:38:55.000Z
|
modules/Export_To_File.py
|
Blackfoot50115/Password_Generator
|
2e99708fae5a3cc91702b68497e4520a558481b3
|
[
"MIT"
] | 1
|
2019-05-07T12:15:55.000Z
|
2019-05-07T12:15:55.000Z
|
def append_file(password, file_path):
password_file = open(file_path, "a+")
password_file.write(password + "\r\n")
password_file.close()
| 17
| 42
| 0.679739
| 21
| 153
| 4.666667
| 0.52381
| 0.489796
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 153
| 8
| 43
| 19.125
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 1
| 0
| 0
| 0.25
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
06315d61570f26c6f3e6abf1ddc7df8cd17de830
| 44
|
py
|
Python
|
20200428/src/doct/addd_test.py
|
vultar150/Pyprac
|
72fab30229ff632df8792eae17492f671e1d60e4
|
[
"Apache-2.0"
] | null | null | null |
20200428/src/doct/addd_test.py
|
vultar150/Pyprac
|
72fab30229ff632df8792eae17492f671e1d60e4
|
[
"Apache-2.0"
] | null | null | null |
20200428/src/doct/addd_test.py
|
vultar150/Pyprac
|
72fab30229ff632df8792eae17492f671e1d60e4
|
[
"Apache-2.0"
] | null | null | null |
import doctest
doctest.testfile("addd.rst")
| 14.666667
| 28
| 0.795455
| 6
| 44
| 5.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068182
| 44
| 2
| 29
| 22
| 0.853659
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
0647d34191beaa453acced9a85d7fac8926ac453
| 110
|
py
|
Python
|
pre_questionnaire/admin.py
|
AurelienNioche/ModelingMadeEasyApp
|
dbb738dda204906c5f4b7aeb9c71feea961a4cce
|
[
"MIT"
] | null | null | null |
pre_questionnaire/admin.py
|
AurelienNioche/ModelingMadeEasyApp
|
dbb738dda204906c5f4b7aeb9c71feea961a4cce
|
[
"MIT"
] | null | null | null |
pre_questionnaire/admin.py
|
AurelienNioche/ModelingMadeEasyApp
|
dbb738dda204906c5f4b7aeb9c71feea961a4cce
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import PreQuestionnaire
admin.site.register(PreQuestionnaire)
| 18.333333
| 37
| 0.845455
| 13
| 110
| 7.153846
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 110
| 5
| 38
| 22
| 0.939394
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 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
|
0650fe2b4a8ec05a4f26bd56fccd6338468b7b46
| 913
|
py
|
Python
|
parc/instruction.py
|
kevinyuan/pydgin
|
9e5dea526a17b23929b2a1d24598154b42323073
|
[
"BSD-3-Clause"
] | 159
|
2015-02-12T03:28:25.000Z
|
2022-02-24T22:40:35.000Z
|
parc/instruction.py
|
kevinyuan/pydgin
|
9e5dea526a17b23929b2a1d24598154b42323073
|
[
"BSD-3-Clause"
] | 21
|
2015-01-31T23:47:26.000Z
|
2020-12-21T12:41:08.000Z
|
parc/instruction.py
|
kevinyuan/pydgin
|
9e5dea526a17b23929b2a1d24598154b42323073
|
[
"BSD-3-Clause"
] | 40
|
2015-01-28T21:31:30.000Z
|
2022-01-25T12:50:23.000Z
|
#=======================================================================
# instruction.py
#=======================================================================
from pydgin.utils import r_uint
class Instruction( object ):
def __init__( self, bits, str ):
self.bits = r_uint( bits )
self.str = str
@property
def rd( self ):
return (self.bits >> 11) & 0x1F
@property
def rt( self ):
return (self.bits >> 16) & 0x1F
@property
def rs( self ):
return (self.bits >> 21) & 0x1F
@property
def fd( self ):
return (self.bits >> 6) & 0x1F
@property
def ft( self ):
return (self.bits >> 16) & 0x1F
@property
def fs( self ):
return (self.bits >> 11) & 0x1F
@property
def imm( self ):
return self.bits & 0xFFFF
@property
def jtarg( self ):
return self.bits & 0x3FFFFFF
@property
def shamt( self ):
return (self.bits >> 6) & 0x1F
| 19.020833
| 72
| 0.496166
| 103
| 913
| 4.339806
| 0.320388
| 0.196868
| 0.281879
| 0.362416
| 0.416107
| 0.416107
| 0.313199
| 0.313199
| 0
| 0
| 0
| 0.041667
| 0.237678
| 913
| 47
| 73
| 19.425532
| 0.600575
| 0.171961
| 0
| 0.46875
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057181
| 0
| 0
| 1
| 0.3125
| false
| 0
| 0.03125
| 0.28125
| 0.65625
| 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
|
0655cb7f1c625d52133699a96d2f35fe1b202f17
| 13,279
|
py
|
Python
|
pyaccords/pysrc/ec2instanceinfo.py
|
MarouenMechtri/accords-platform-1
|
4f950fffd9fbbf911840cc5ad0fe5b5a331edf42
|
[
"Apache-2.0"
] | 1
|
2015-02-28T21:25:54.000Z
|
2015-02-28T21:25:54.000Z
|
pyaccords/pysrc/ec2instanceinfo.py
|
MarouenMechtri/accords-platform-1
|
4f950fffd9fbbf911840cc5ad0fe5b5a331edf42
|
[
"Apache-2.0"
] | null | null | null |
pyaccords/pysrc/ec2instanceinfo.py
|
MarouenMechtri/accords-platform-1
|
4f950fffd9fbbf911840cc5ad0fe5b5a331edf42
|
[
"Apache-2.0"
] | null | null | null |
##############################################################################
#copyright 2013, Hamid MEDJAHED (hmedjahed@prologue.fr) Prologue #
#Licensed under the Apache License, Version 2.0 (the "License"); #
#you may not use this file except in compliance with the License. #
#You may obtain a copy of the License at #
# #
# http://www.apache.org/licenses/LICENSE-2.0 #
# #
#Unless required by applicable law or agreed to in writing, software #
#distributed under the License is distributed on an "AS IS" BASIS, #
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #
#See the License for the specific language governing permissions and #
#limitations under the License. #
##############################################################################
import HTMLParser
data = '''
<table cellspacing="0" class="table table-bordered table-hover table-condensed" id="data">
<thead>
<tr>
<th class="name">Name</th>
<th class="memory">Memory</th>
<th class="computeunits">
<abbr title="One EC2 Compute Unit provides the equivalent CPU capacity of a 1.0-1.2 GHz 2007 Opteron or 2007 Xeon processor.">Compute Units</abbr>
</th>
<th class="storage">Storage</th>
<th class="architecture">Architecture</th>
<th class="ioperf">I/O Performance</th>
<th class="maxips">
<abbr title="Adding additional IPs requires launching the instance in a VPC.">Max IPs</abbr>
</th>
<th class="apiname">API Name</th>
<th class="cost">Linux cost</th>
<th class="cost">Windows cost</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name">M1 Small</td>
<td class="memory"><span sort="1.7">1.70 GB</span></td>
<td class="computeunits"><span sort="1">1</span></td>
<td class="storage"><span sort="160">160 GB</span></td>
<td class="architecture">32/64-bit</td>
<td class="ioperf"><span sort="1">Moderate</span></td>
<td class="maxips">8</td>
<td class="apiname">m1.small</td>
<td class="cost" hour_cost="0.060">$0.060 per hour</td>
<td class="cost" hour_cost="0.115">$0.115 per hour</td>
</tr>
<tr>
<td class="name">M1 Medium</td>
<td class="memory"><span sort="3.75">3.75 GB</span></td>
<td class="computeunits"><span sort="2">2</span></td>
<td class="storage"><span sort="410">410 GB</span></td>
<td class="architecture">32/64-bit</td>
<td class="ioperf"><span sort="1">Moderate</span></td>
<td class="maxips">12</td>
<td class="apiname">m1.medium</td>
<td class="cost" hour_cost="0.12">$0.12 per hour</td>
<td class="cost" hour_cost="0.23">$0.23 per hour</td>
</tr>
<tr>
<td class="name">M1 Large</td>
<td class="memory"><span sort="7.5">7.50 GB</span></td>
<td class="computeunits"><span sort="4">4</span></td>
<td class="storage"><span sort="850">850 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="3">High</span></td>
<td class="maxips">30</td>
<td class="apiname">m1.large</td>
<td class="cost" hour_cost="0.24">$0.24 per hour</td>
<td class="cost" hour_cost="0.46">$0.46 per hour</td>
</tr>
<tr>
<td class="name">M1 Extra Large</td>
<td class="memory"><span sort="15">15.00 GB</span></td>
<td class="computeunits"><span sort="8">8</span></td>
<td class="storage"><span sort="1690">1690 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="3">High</span></td>
<td class="maxips">60</td>
<td class="apiname">m1.xlarge</td>
<td class="cost" hour_cost="0.48">$0.48 per hour</td>
<td class="cost" hour_cost="0.92">$0.92 per hour</td>
</tr>
<tr>
<td class="name">Micro</td>
<td class="memory"><span sort="0.6">0.60 GB</span></td>
<td class="computeunits"><span sort="2">2</span></td>
<td class="storage"><span sort="0">0 GB</span></td>
<td class="architecture">32/64-bit</td>
<td class="ioperf"><span sort="0">Low</span></td>
<td class="maxips">1</td>
<td class="apiname">t1.micro</td>
<td class="cost" hour_cost="0.02">$0.02 per hour</td>
<td class="cost" hour_cost="0.02">$0.02 per hour</td>
</tr>
<tr>
<td class="name">High-Memory Extra Large</td>
<td class="memory"><span sort="17.10">17.10 GB</span></td>
<td class="computeunits"><span sort="6.5">6.5</span></td>
<td class="storage"><span sort="420">420 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="1">Moderate</span></td>
<td class="maxips">60</td>
<td class="apiname">m2.xlarge</td>
<td class="cost" hour_cost="0.41">$0.41 per hour</td>
<td class="cost" hour_cost="0.57">$0.57 per hour</td>
</tr>
<tr>
<td class="name">High-Memory Double Extra Large</td>
<td class="memory"><span sort="34.2">34.20 GB</span></td>
<td class="computeunits"><span sort="13">13</span></td>
<td class="storage"><span sort="850">850 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="2">High</span></td>
<td class="maxips">120</td>
<td class="apiname">m2.2xlarge</td>
<td class="cost" hour_cost="0.82">$0.82 per hour</td>
<td class="cost" hour_cost="1.14">$1.14 per hour</td>
</tr>
<tr>
<td class="name">High-Memory Quadruple Extra Large</td>
<td class="memory"><span sort="68.4">68.40 GB</span></td>
<td class="computeunits"><span sort="26">26</span></td>
<td class="storage"><span sort="1690">1690 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="3">High</span></td>
<td class="maxips">240</td>
<td class="apiname">m2.4xlarge</td>
<td class="cost" hour_cost="1.64">$1.64 per hour</td>
<td class="cost" hour_cost="2.28">$2.28 per hour</td>
</tr>
<tr>
<td class="name">M3 Extra Large</td>
<td class="memory"><span sort="15">15.00 GB</span></td>
<td class="computeunits"><span sort="13">13</span></td>
<td class="storage"><span sort="0">0 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="1">Moderate</span></td>
<td class="maxips">60</td>
<td class="apiname">m3.xlarge</td>
<td class="cost" hour_cost="0.50">$0.50 per hour</td>
<td class="cost" hour_cost="0.98">$0.98 per hour</td>
</tr>
<tr>
<td class="name">M3 Double Extra Large</td>
<td class="memory"><span sort="30">30.00 GB</span></td>
<td class="computeunits"><span sort="26">26</span></td>
<td class="storage"><span sort="0">0 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="2">High</span></td>
<td class="maxips">120</td>
<td class="apiname">m3.2xlarge</td>
<td class="cost" hour_cost="1.00">$1.00 per hour</td>
<td class="cost" hour_cost="1.96">$1.96 per hour</td>
</tr>
<tr>
<td class="name">High-CPU Medium</td>
<td class="memory"><span sort="1.7">1.70 GB</span></td>
<td class="computeunits"><span sort="5">5</span></td>
<td class="storage"><span sort="350">350 GB</span></td>
<td class="architecture">32_64-bit</td>
<td class="ioperf"><span sort="1">Moderate</span></td>
<td class="maxips">12</td>
<td class="apiname">c1.medium</td>
<td class="cost" hour_cost="0.145">$0.145 per hour</td>
<td class="cost" hour_cost="0.285">$0.285 per hour</td>
</tr>
<tr>
<td class="name">High-CPU Extra Large</td>
<td class="memory"><span sort="7">7.00 GB</span></td>
<td class="computeunits"><span sort="20">20</span></td>
<td class="storage"><span sort="1690">1690 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="2">High</span></td>
<td class="maxips">60</td>
<td class="apiname">c1.xlarge</td>
<td class="cost" hour_cost="0.58">$0.58 per hour</td>
<td class="cost" hour_cost="1.14">$1.14 per hour</td>
</tr>
<tr>
<td class="name">Cluster Compute Quadruple Extra Large</td>
<td class="memory"><span sort="23">23.00 GB</span></td>
<td class="computeunits"><span sort="33.5">33.5</span></td>
<td class="storage"><span sort="1690">1690 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="4">Very High</sort></td>
<td class="maxips">1</td>
<td class="apiname">cc1.4xlarge</td>
<td class="cost" hour_cost="1.30">$1.30 per hour</td>
<td class="cost" hour_cost="1.61">$1.61 per hour</td>
</tr>
<tr>
<td class="name">Cluster Compute Eight Extra Large</td>
<td class="memory"><span sort="60.5">60.50 GB</span></td>
<td class="computeunits"><span sort="88">88</span></td>
<td class="storage"><span sort="3370">3370 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="4">Very High</sort></td>
<td class="maxips">240</td>
<td class="apiname">cc2.8xlarge</td>
<td class="cost" hour_cost="2.40">$2.40 per hour</td>
<td class="cost" hour_cost="2.97">$2.97 per hour</td>
</tr>
<tr>
<td class="name">Cluster GPU Quadruple Extra Large</td>
<td class="memory"><span sort="22">22.00 GB</span></td>
<td class="computeunits"><span sort="33.5">33.5</span></td>
<td class="storage"><span sort="1690">1690 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="4">Very High</sort></td>
<td class="maxips">1</td>
<td class="apiname">cg1.4xlarge</td>
<td class="cost" hour_cost="2.10">$2.10 per hour</td>
<td class="cost" hour_cost="2.60">$2.60 per hour</td>
</tr>
<tr>
<td class="name">High I/O Quadruple Extra Large</td>
<td class="memory"><span sort="60.5">60.50 GB</span></td>
<td class="computeunits"><span sort="35">35</span></td>
<td class="storage"><span sort="2048">2048 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="4">Very High</sort></td>
<td class="maxips">1</td>
<td class="apiname">hi1.4xlarge</td>
<td class="cost" hour_cost="3.10">$3.10 per hour</td>
<td class="cost" hour_cost="3.58">$3.58 per hour</td>
</tr>
<tr>
<td class="name">High Storage Eight Extra Large</td>
<td class="memory"><span sort="117.00">117.00 GB</span></td>
<td class="computeunits"><span sort="35">35</span></td>
<td class="storage"><span sort="49152">48 TB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="4">Very High</sort></td>
<td class="maxips">1</td>
<td class="apiname">hs1.8xlarge</td>
<td class="cost" hour_cost="4.600">$4.600 per hour</td>
<td class="cost" hour_cost="4.931">$4.931 per hour</td>
</tr>
<tr>
<td class="name">High Memory Cluster Eight Extra Large</td>
<td class="memory"><span sort="244.00">244.00 GB</span></td>
<td class="computeunits"><span sort="88">88</span></td>
<td class="storage"><span sort="240">240 GB</span></td>
<td class="architecture">64-bit</td>
<td class="ioperf"><span sort="4">Very High</sort></td>
<td class="maxips">1</td>
<td class="apiname">cr1.8xlarge</td>
<td class="cost" hour_cost="3.500">$3.500 per hour</td>
<td class="cost" hour_cost="3.831">$3.831 per hour</td>
</tr>
</tbody>
</table> '''
class TableParser(HTMLParser.HTMLParser):
def __init__(self):
HTMLParser.HTMLParser.__init__(self)
self.in_td = False
self.flavors = []
def handle_starttag(self, tag, attrs):
if tag == 'td':
self.in_td = True
def handle_data(self, data):
if self.in_td:
self.flavors.append(data)
def handle_endtag(self, tag):
self.in_td = False
| 48.112319
| 158
| 0.524889
| 1,910
| 13,279
| 3.62199
| 0.12356
| 0.182134
| 0.210755
| 0.124024
| 0.767707
| 0.754987
| 0.751662
| 0.706707
| 0.639202
| 0.484389
| 0
| 0.068898
| 0.264402
| 13,279
| 275
| 159
| 48.287273
| 0.639333
| 0.065216
| 0
| 0.490119
| 0
| 0.067194
| 0.967093
| 0.345314
| 0
| 0
| 0
| 0
| 0
| 1
| 0.01581
| false
| 0
| 0.003953
| 0
| 0.023715
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
066b73292bddecff1f5b7768febdea7bae1b1c84
| 173
|
py
|
Python
|
tests/src/year2017/test_day05b.py
|
lancelote/advent_of_code
|
06dda6ca034bc1e86addee7798bb9b2a34ff565b
|
[
"Unlicense"
] | 10
|
2017-12-11T17:54:52.000Z
|
2021-12-09T20:16:30.000Z
|
tests/src/year2017/test_day05b.py
|
lancelote/advent_of_code
|
06dda6ca034bc1e86addee7798bb9b2a34ff565b
|
[
"Unlicense"
] | 260
|
2015-12-09T11:03:03.000Z
|
2021-12-12T14:32:23.000Z
|
tests/src/year2017/test_day05b.py
|
lancelote/advent_of_code
|
06dda6ca034bc1e86addee7798bb9b2a34ff565b
|
[
"Unlicense"
] | null | null | null |
"""2017 - Day 5 Part 2: A Maze of Twisty Trampolines, All Alike tests."""
from src.year2017.day05b import solve
def test_solve():
assert solve("0\n3\n0\n1\n-3") == 10
| 24.714286
| 73
| 0.676301
| 31
| 173
| 3.741935
| 0.935484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132867
| 0.17341
| 173
| 6
| 74
| 28.833333
| 0.678322
| 0.387283
| 0
| 0
| 0
| 0
| 0.14
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 0
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
068dc5e7fc605c5cd770756e1c906e8ce442fab3
| 110
|
py
|
Python
|
lab_01/ngrams.py
|
Tariod/security
|
2b544fdaa27760bd80879e3106cfb39dc986c73f
|
[
"MIT"
] | null | null | null |
lab_01/ngrams.py
|
Tariod/security
|
2b544fdaa27760bd80879e3106cfb39dc986c73f
|
[
"MIT"
] | null | null | null |
lab_01/ngrams.py
|
Tariod/security
|
2b544fdaa27760bd80879e3106cfb39dc986c73f
|
[
"MIT"
] | null | null | null |
def ngrams(sequence, n):
return list(zip(*[sequence[i:(len(sequence) - (n - 1) + i)] for i in range(n)]))
| 36.666667
| 84
| 0.6
| 19
| 110
| 3.473684
| 0.684211
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010989
| 0.172727
| 110
| 2
| 85
| 55
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
2301362f160d7326e050b581a469859de16747d7
| 38,783
|
py
|
Python
|
carbondesign/tests/test_time_picker.py
|
dozymoe/django-carbondesign
|
34aed0cfdccfa90fcb5bf2bbd347229815f1417b
|
[
"MIT"
] | null | null | null |
carbondesign/tests/test_time_picker.py
|
dozymoe/django-carbondesign
|
34aed0cfdccfa90fcb5bf2bbd347229815f1417b
|
[
"MIT"
] | null | null | null |
carbondesign/tests/test_time_picker.py
|
dozymoe/django-carbondesign
|
34aed0cfdccfa90fcb5bf2bbd347229815f1417b
|
[
"MIT"
] | null | null | null |
# pylint:disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
from .base import compare_template, SimpleTestCase
class TimePickerTest(SimpleTestCase):
maxDiff = None
def test_rendered(self):
template = """
{% load carbondesign %}
{% TimePicker form.started_at %}
"""
expected = r"""
<div class="bx--form-item">
<label for="id_started_at" class="bx--label">
Started at
</label>
<div class="bx--time-picker">
<div class="bx--time-picker__input"><input type="text" name="started_at" value="2022-02-03 01:02:03" class="bx--text-input bx--time-picker__input-field" pattern="(1[012]|[1-9]):[0-5][0-9](\\s)?" placeholder="hh:mm" maxlength="5" required id="id_started_at"></div>
<div class="bx--time-picker__select bx--select">
<label for="select-ampm-id_started_at" class="bx--label bx--visually-hidden">
Select AM/PM
</label>
<select id="select-ampm-id_started_at" class="bx--select-input">
<option class="bx--select-option" value="AM">AM</option>
<option class="bx--select-option" value="PM">PM</option>
</select>
<svg focusable="false" preserveAspectRatio="xMidYMid meet"
xmlns="http://www.w3.org/2000/svg" fill="currentColor"
class="bx--select__arrow" width="16" height="16" viewBox="0 0 16 16"
aria-hidden="true">
<path d="M8 11L3 6 3.7 5.3 8 9.6 12.3 5.3 13 6z"></path>
</svg>
</div>
<div class="bx--time-picker__select bx--select">
<label for="select-zone-id_started_at" class="bx--label bx--visually-hidden">
Select time zone
</label>
<select id="select-zone-id_started_at" class="bx--select-input">
<option class="bx--select-option" value="Africa/Abidjan">Africa/Abidjan</option>
<option class="bx--select-option" value="Africa/Accra">Africa/Accra</option>
<option class="bx--select-option" value="Africa/Addis_Ababa">Africa/Addis_Ababa</option>
<option class="bx--select-option" value="Africa/Algiers">Africa/Algiers</option>
<option class="bx--select-option" value="Africa/Asmara">Africa/Asmara</option>
<option class="bx--select-option" value="Africa/Bamako">Africa/Bamako</option>
<option class="bx--select-option" value="Africa/Bangui">Africa/Bangui</option>
<option class="bx--select-option" value="Africa/Banjul">Africa/Banjul</option>
<option class="bx--select-option" value="Africa/Bissau">Africa/Bissau</option>
<option class="bx--select-option" value="Africa/Blantyre">Africa/Blantyre</option>
<option class="bx--select-option" value="Africa/Brazzaville">Africa/Brazzaville</option>
<option class="bx--select-option" value="Africa/Bujumbura">Africa/Bujumbura</option>
<option class="bx--select-option" value="Africa/Cairo">Africa/Cairo</option>
<option class="bx--select-option" value="Africa/Casablanca">Africa/Casablanca</option>
<option class="bx--select-option" value="Africa/Ceuta">Africa/Ceuta</option>
<option class="bx--select-option" value="Africa/Conakry">Africa/Conakry</option>
<option class="bx--select-option" value="Africa/Dakar">Africa/Dakar</option>
<option class="bx--select-option" value="Africa/Dar_es_Salaam">Africa/Dar_es_Salaam</option>
<option class="bx--select-option" value="Africa/Djibouti">Africa/Djibouti</option>
<option class="bx--select-option" value="Africa/Douala">Africa/Douala</option>
<option class="bx--select-option" value="Africa/El_Aaiun">Africa/El_Aaiun</option>
<option class="bx--select-option" value="Africa/Freetown">Africa/Freetown</option>
<option class="bx--select-option" value="Africa/Gaborone">Africa/Gaborone</option>
<option class="bx--select-option" value="Africa/Harare">Africa/Harare</option>
<option class="bx--select-option" value="Africa/Johannesburg">Africa/Johannesburg</option>
<option class="bx--select-option" value="Africa/Juba">Africa/Juba</option>
<option class="bx--select-option" value="Africa/Kampala">Africa/Kampala</option>
<option class="bx--select-option" value="Africa/Khartoum">Africa/Khartoum</option>
<option class="bx--select-option" value="Africa/Kigali">Africa/Kigali</option>
<option class="bx--select-option" value="Africa/Kinshasa">Africa/Kinshasa</option>
<option class="bx--select-option" value="Africa/Lagos">Africa/Lagos</option>
<option class="bx--select-option" value="Africa/Libreville">Africa/Libreville</option>
<option class="bx--select-option" value="Africa/Lome">Africa/Lome</option>
<option class="bx--select-option" value="Africa/Luanda">Africa/Luanda</option>
<option class="bx--select-option" value="Africa/Lubumbashi">Africa/Lubumbashi</option>
<option class="bx--select-option" value="Africa/Lusaka">Africa/Lusaka</option>
<option class="bx--select-option" value="Africa/Malabo">Africa/Malabo</option>
<option class="bx--select-option" value="Africa/Maputo">Africa/Maputo</option>
<option class="bx--select-option" value="Africa/Maseru">Africa/Maseru</option>
<option class="bx--select-option" value="Africa/Mbabane">Africa/Mbabane</option>
<option class="bx--select-option" value="Africa/Mogadishu">Africa/Mogadishu</option>
<option class="bx--select-option" value="Africa/Monrovia">Africa/Monrovia</option>
<option class="bx--select-option" value="Africa/Nairobi">Africa/Nairobi</option>
<option class="bx--select-option" value="Africa/Ndjamena">Africa/Ndjamena</option>
<option class="bx--select-option" value="Africa/Niamey">Africa/Niamey</option>
<option class="bx--select-option" value="Africa/Nouakchott">Africa/Nouakchott</option>
<option class="bx--select-option" value="Africa/Ouagadougou">Africa/Ouagadougou</option>
<option class="bx--select-option" value="Africa/Porto-Novo">Africa/Porto-Novo</option>
<option class="bx--select-option" value="Africa/Sao_Tome">Africa/Sao_Tome</option>
<option class="bx--select-option" value="Africa/Tripoli">Africa/Tripoli</option>
<option class="bx--select-option" value="Africa/Tunis">Africa/Tunis</option>
<option class="bx--select-option" value="Africa/Windhoek">Africa/Windhoek</option>
<option class="bx--select-option" value="America/Adak">America/Adak</option>
<option class="bx--select-option" value="America/Anchorage">America/Anchorage</option>
<option class="bx--select-option" value="America/Anguilla">America/Anguilla</option>
<option class="bx--select-option" value="America/Antigua">America/Antigua</option>
<option class="bx--select-option" value="America/Araguaina">America/Araguaina</option>
<option class="bx--select-option" value="America/Argentina/Buenos_Aires">America/Argentina/Buenos_Aires</option>
<option class="bx--select-option" value="America/Argentina/Catamarca">America/Argentina/Catamarca</option>
<option class="bx--select-option" value="America/Argentina/Cordoba">America/Argentina/Cordoba</option>
<option class="bx--select-option" value="America/Argentina/Jujuy">America/Argentina/Jujuy</option>
<option class="bx--select-option" value="America/Argentina/La_Rioja">America/Argentina/La_Rioja</option>
<option class="bx--select-option" value="America/Argentina/Mendoza">America/Argentina/Mendoza</option>
<option class="bx--select-option" value="America/Argentina/Rio_Gallegos">America/Argentina/Rio_Gallegos</option>
<option class="bx--select-option" value="America/Argentina/Salta">America/Argentina/Salta</option>
<option class="bx--select-option" value="America/Argentina/San_Juan">America/Argentina/San_Juan</option>
<option class="bx--select-option" value="America/Argentina/San_Luis">America/Argentina/San_Luis</option>
<option class="bx--select-option" value="America/Argentina/Tucuman">America/Argentina/Tucuman</option>
<option class="bx--select-option" value="America/Argentina/Ushuaia">America/Argentina/Ushuaia</option>
<option class="bx--select-option" value="America/Aruba">America/Aruba</option>
<option class="bx--select-option" value="America/Asuncion">America/Asuncion</option>
<option class="bx--select-option" value="America/Atikokan">America/Atikokan</option>
<option class="bx--select-option" value="America/Bahia">America/Bahia</option>
<option class="bx--select-option" value="America/Bahia_Banderas">America/Bahia_Banderas</option>
<option class="bx--select-option" value="America/Barbados">America/Barbados</option>
<option class="bx--select-option" value="America/Belem">America/Belem</option>
<option class="bx--select-option" value="America/Belize">America/Belize</option>
<option class="bx--select-option" value="America/Blanc-Sablon">America/Blanc-Sablon</option>
<option class="bx--select-option" value="America/Boa_Vista">America/Boa_Vista</option>
<option class="bx--select-option" value="America/Bogota">America/Bogota</option>
<option class="bx--select-option" value="America/Boise">America/Boise</option>
<option class="bx--select-option" value="America/Cambridge_Bay">America/Cambridge_Bay</option>
<option class="bx--select-option" value="America/Campo_Grande">America/Campo_Grande</option>
<option class="bx--select-option" value="America/Cancun">America/Cancun</option>
<option class="bx--select-option" value="America/Caracas">America/Caracas</option>
<option class="bx--select-option" value="America/Cayenne">America/Cayenne</option>
<option class="bx--select-option" value="America/Cayman">America/Cayman</option>
<option class="bx--select-option" value="America/Chicago">America/Chicago</option>
<option class="bx--select-option" value="America/Chihuahua">America/Chihuahua</option>
<option class="bx--select-option" value="America/Costa_Rica">America/Costa_Rica</option>
<option class="bx--select-option" value="America/Creston">America/Creston</option>
<option class="bx--select-option" value="America/Cuiaba">America/Cuiaba</option>
<option class="bx--select-option" value="America/Curacao">America/Curacao</option>
<option class="bx--select-option" value="America/Danmarkshavn">America/Danmarkshavn</option>
<option class="bx--select-option" value="America/Dawson">America/Dawson</option>
<option class="bx--select-option" value="America/Dawson_Creek">America/Dawson_Creek</option>
<option class="bx--select-option" value="America/Denver">America/Denver</option>
<option class="bx--select-option" value="America/Detroit">America/Detroit</option>
<option class="bx--select-option" value="America/Dominica">America/Dominica</option>
<option class="bx--select-option" value="America/Edmonton">America/Edmonton</option>
<option class="bx--select-option" value="America/Eirunepe">America/Eirunepe</option>
<option class="bx--select-option" value="America/El_Salvador">America/El_Salvador</option>
<option class="bx--select-option" value="America/Fort_Nelson">America/Fort_Nelson</option>
<option class="bx--select-option" value="America/Fortaleza">America/Fortaleza</option>
<option class="bx--select-option" value="America/Glace_Bay">America/Glace_Bay</option>
<option class="bx--select-option" value="America/Goose_Bay">America/Goose_Bay</option>
<option class="bx--select-option" value="America/Grand_Turk">America/Grand_Turk</option>
<option class="bx--select-option" value="America/Grenada">America/Grenada</option>
<option class="bx--select-option" value="America/Guadeloupe">America/Guadeloupe</option>
<option class="bx--select-option" value="America/Guatemala">America/Guatemala</option>
<option class="bx--select-option" value="America/Guayaquil">America/Guayaquil</option>
<option class="bx--select-option" value="America/Guyana">America/Guyana</option>
<option class="bx--select-option" value="America/Halifax">America/Halifax</option>
<option class="bx--select-option" value="America/Havana">America/Havana</option>
<option class="bx--select-option" value="America/Hermosillo">America/Hermosillo</option>
<option class="bx--select-option" value="America/Indiana/Indianapolis">America/Indiana/Indianapolis</option>
<option class="bx--select-option" value="America/Indiana/Knox">America/Indiana/Knox</option>
<option class="bx--select-option" value="America/Indiana/Marengo">America/Indiana/Marengo</option>
<option class="bx--select-option" value="America/Indiana/Petersburg">America/Indiana/Petersburg</option>
<option class="bx--select-option" value="America/Indiana/Tell_City">America/Indiana/Tell_City</option>
<option class="bx--select-option" value="America/Indiana/Vevay">America/Indiana/Vevay</option>
<option class="bx--select-option" value="America/Indiana/Vincennes">America/Indiana/Vincennes</option>
<option class="bx--select-option" value="America/Indiana/Winamac">America/Indiana/Winamac</option>
<option class="bx--select-option" value="America/Inuvik">America/Inuvik</option>
<option class="bx--select-option" value="America/Iqaluit">America/Iqaluit</option>
<option class="bx--select-option" value="America/Jamaica">America/Jamaica</option>
<option class="bx--select-option" value="America/Juneau">America/Juneau</option>
<option class="bx--select-option" value="America/Kentucky/Louisville">America/Kentucky/Louisville</option>
<option class="bx--select-option" value="America/Kentucky/Monticello">America/Kentucky/Monticello</option>
<option class="bx--select-option" value="America/Kralendijk">America/Kralendijk</option>
<option class="bx--select-option" value="America/La_Paz">America/La_Paz</option>
<option class="bx--select-option" value="America/Lima">America/Lima</option>
<option class="bx--select-option" value="America/Los_Angeles">America/Los_Angeles</option>
<option class="bx--select-option" value="America/Lower_Princes">America/Lower_Princes</option>
<option class="bx--select-option" value="America/Maceio">America/Maceio</option>
<option class="bx--select-option" value="America/Managua">America/Managua</option>
<option class="bx--select-option" value="America/Manaus">America/Manaus</option>
<option class="bx--select-option" value="America/Marigot">America/Marigot</option>
<option class="bx--select-option" value="America/Martinique">America/Martinique</option>
<option class="bx--select-option" value="America/Matamoros">America/Matamoros</option>
<option class="bx--select-option" value="America/Mazatlan">America/Mazatlan</option>
<option class="bx--select-option" value="America/Menominee">America/Menominee</option>
<option class="bx--select-option" value="America/Merida">America/Merida</option>
<option class="bx--select-option" value="America/Metlakatla">America/Metlakatla</option>
<option class="bx--select-option" value="America/Mexico_City">America/Mexico_City</option>
<option class="bx--select-option" value="America/Miquelon">America/Miquelon</option>
<option class="bx--select-option" value="America/Moncton">America/Moncton</option>
<option class="bx--select-option" value="America/Monterrey">America/Monterrey</option>
<option class="bx--select-option" value="America/Montevideo">America/Montevideo</option>
<option class="bx--select-option" value="America/Montserrat">America/Montserrat</option>
<option class="bx--select-option" value="America/Nassau">America/Nassau</option>
<option class="bx--select-option" value="America/New_York">America/New_York</option>
<option class="bx--select-option" value="America/Nipigon">America/Nipigon</option>
<option class="bx--select-option" value="America/Nome">America/Nome</option>
<option class="bx--select-option" value="America/Noronha">America/Noronha</option>
<option class="bx--select-option" value="America/North_Dakota/Beulah">America/North_Dakota/Beulah</option>
<option class="bx--select-option" value="America/North_Dakota/Center">America/North_Dakota/Center</option>
<option class="bx--select-option" value="America/North_Dakota/New_Salem">America/North_Dakota/New_Salem</option>
<option class="bx--select-option" value="America/Nuuk">America/Nuuk</option>
<option class="bx--select-option" value="America/Ojinaga">America/Ojinaga</option>
<option class="bx--select-option" value="America/Panama">America/Panama</option>
<option class="bx--select-option" value="America/Pangnirtung">America/Pangnirtung</option>
<option class="bx--select-option" value="America/Paramaribo">America/Paramaribo</option>
<option class="bx--select-option" value="America/Phoenix">America/Phoenix</option>
<option class="bx--select-option" value="America/Port-au-Prince">America/Port-au-Prince</option>
<option class="bx--select-option" value="America/Port_of_Spain">America/Port_of_Spain</option>
<option class="bx--select-option" value="America/Porto_Velho">America/Porto_Velho</option>
<option class="bx--select-option" value="America/Puerto_Rico">America/Puerto_Rico</option>
<option class="bx--select-option" value="America/Punta_Arenas">America/Punta_Arenas</option>
<option class="bx--select-option" value="America/Rainy_River">America/Rainy_River</option>
<option class="bx--select-option" value="America/Rankin_Inlet">America/Rankin_Inlet</option>
<option class="bx--select-option" value="America/Recife">America/Recife</option>
<option class="bx--select-option" value="America/Regina">America/Regina</option>
<option class="bx--select-option" value="America/Resolute">America/Resolute</option>
<option class="bx--select-option" value="America/Rio_Branco">America/Rio_Branco</option>
<option class="bx--select-option" value="America/Santarem">America/Santarem</option>
<option class="bx--select-option" value="America/Santiago">America/Santiago</option>
<option class="bx--select-option" value="America/Santo_Domingo">America/Santo_Domingo</option>
<option class="bx--select-option" value="America/Sao_Paulo">America/Sao_Paulo</option>
<option class="bx--select-option" value="America/Scoresbysund">America/Scoresbysund</option>
<option class="bx--select-option" value="America/Sitka">America/Sitka</option>
<option class="bx--select-option" value="America/St_Barthelemy">America/St_Barthelemy</option>
<option class="bx--select-option" value="America/St_Johns">America/St_Johns</option>
<option class="bx--select-option" value="America/St_Kitts">America/St_Kitts</option>
<option class="bx--select-option" value="America/St_Lucia">America/St_Lucia</option>
<option class="bx--select-option" value="America/St_Thomas">America/St_Thomas</option>
<option class="bx--select-option" value="America/St_Vincent">America/St_Vincent</option>
<option class="bx--select-option" value="America/Swift_Current">America/Swift_Current</option>
<option class="bx--select-option" value="America/Tegucigalpa">America/Tegucigalpa</option>
<option class="bx--select-option" value="America/Thule">America/Thule</option>
<option class="bx--select-option" value="America/Thunder_Bay">America/Thunder_Bay</option>
<option class="bx--select-option" value="America/Tijuana">America/Tijuana</option>
<option class="bx--select-option" value="America/Toronto">America/Toronto</option>
<option class="bx--select-option" value="America/Tortola">America/Tortola</option>
<option class="bx--select-option" value="America/Vancouver">America/Vancouver</option>
<option class="bx--select-option" value="America/Whitehorse">America/Whitehorse</option>
<option class="bx--select-option" value="America/Winnipeg">America/Winnipeg</option>
<option class="bx--select-option" value="America/Yakutat">America/Yakutat</option>
<option class="bx--select-option" value="America/Yellowknife">America/Yellowknife</option>
<option class="bx--select-option" value="Antarctica/Casey">Antarctica/Casey</option>
<option class="bx--select-option" value="Antarctica/Davis">Antarctica/Davis</option>
<option class="bx--select-option" value="Antarctica/DumontDUrville">Antarctica/DumontDUrville</option>
<option class="bx--select-option" value="Antarctica/Macquarie">Antarctica/Macquarie</option>
<option class="bx--select-option" value="Antarctica/Mawson">Antarctica/Mawson</option>
<option class="bx--select-option" value="Antarctica/McMurdo">Antarctica/McMurdo</option>
<option class="bx--select-option" value="Antarctica/Palmer">Antarctica/Palmer</option>
<option class="bx--select-option" value="Antarctica/Rothera">Antarctica/Rothera</option>
<option class="bx--select-option" value="Antarctica/Syowa">Antarctica/Syowa</option>
<option class="bx--select-option" value="Antarctica/Troll">Antarctica/Troll</option>
<option class="bx--select-option" value="Antarctica/Vostok">Antarctica/Vostok</option>
<option class="bx--select-option" value="Arctic/Longyearbyen">Arctic/Longyearbyen</option>
<option class="bx--select-option" value="Asia/Aden">Asia/Aden</option>
<option class="bx--select-option" value="Asia/Almaty">Asia/Almaty</option>
<option class="bx--select-option" value="Asia/Amman">Asia/Amman</option>
<option class="bx--select-option" value="Asia/Anadyr">Asia/Anadyr</option>
<option class="bx--select-option" value="Asia/Aqtau">Asia/Aqtau</option>
<option class="bx--select-option" value="Asia/Aqtobe">Asia/Aqtobe</option>
<option class="bx--select-option" value="Asia/Ashgabat">Asia/Ashgabat</option>
<option class="bx--select-option" value="Asia/Atyrau">Asia/Atyrau</option>
<option class="bx--select-option" value="Asia/Baghdad">Asia/Baghdad</option>
<option class="bx--select-option" value="Asia/Bahrain">Asia/Bahrain</option>
<option class="bx--select-option" value="Asia/Baku">Asia/Baku</option>
<option class="bx--select-option" value="Asia/Bangkok">Asia/Bangkok</option>
<option class="bx--select-option" value="Asia/Barnaul">Asia/Barnaul</option>
<option class="bx--select-option" value="Asia/Beirut">Asia/Beirut</option>
<option class="bx--select-option" value="Asia/Bishkek">Asia/Bishkek</option>
<option class="bx--select-option" value="Asia/Brunei">Asia/Brunei</option>
<option class="bx--select-option" value="Asia/Chita">Asia/Chita</option>
<option class="bx--select-option" value="Asia/Choibalsan">Asia/Choibalsan</option>
<option class="bx--select-option" value="Asia/Colombo">Asia/Colombo</option>
<option class="bx--select-option" value="Asia/Damascus">Asia/Damascus</option>
<option class="bx--select-option" value="Asia/Dhaka">Asia/Dhaka</option>
<option class="bx--select-option" value="Asia/Dili">Asia/Dili</option>
<option class="bx--select-option" value="Asia/Dubai">Asia/Dubai</option>
<option class="bx--select-option" value="Asia/Dushanbe">Asia/Dushanbe</option>
<option class="bx--select-option" value="Asia/Famagusta">Asia/Famagusta</option>
<option class="bx--select-option" value="Asia/Gaza">Asia/Gaza</option>
<option class="bx--select-option" value="Asia/Hebron">Asia/Hebron</option>
<option class="bx--select-option" value="Asia/Ho_Chi_Minh">Asia/Ho_Chi_Minh</option>
<option class="bx--select-option" value="Asia/Hong_Kong">Asia/Hong_Kong</option>
<option class="bx--select-option" value="Asia/Hovd">Asia/Hovd</option>
<option class="bx--select-option" value="Asia/Irkutsk">Asia/Irkutsk</option>
<option class="bx--select-option" value="Asia/Jakarta">Asia/Jakarta</option>
<option class="bx--select-option" value="Asia/Jayapura">Asia/Jayapura</option>
<option class="bx--select-option" value="Asia/Jerusalem">Asia/Jerusalem</option>
<option class="bx--select-option" value="Asia/Kabul">Asia/Kabul</option>
<option class="bx--select-option" value="Asia/Kamchatka">Asia/Kamchatka</option>
<option class="bx--select-option" value="Asia/Karachi">Asia/Karachi</option>
<option class="bx--select-option" value="Asia/Kathmandu">Asia/Kathmandu</option>
<option class="bx--select-option" value="Asia/Khandyga">Asia/Khandyga</option>
<option class="bx--select-option" value="Asia/Kolkata">Asia/Kolkata</option>
<option class="bx--select-option" value="Asia/Krasnoyarsk">Asia/Krasnoyarsk</option>
<option class="bx--select-option" value="Asia/Kuala_Lumpur">Asia/Kuala_Lumpur</option>
<option class="bx--select-option" value="Asia/Kuching">Asia/Kuching</option>
<option class="bx--select-option" value="Asia/Kuwait">Asia/Kuwait</option>
<option class="bx--select-option" value="Asia/Macau">Asia/Macau</option>
<option class="bx--select-option" value="Asia/Magadan">Asia/Magadan</option>
<option class="bx--select-option" value="Asia/Makassar">Asia/Makassar</option>
<option class="bx--select-option" value="Asia/Manila">Asia/Manila</option>
<option class="bx--select-option" value="Asia/Muscat">Asia/Muscat</option>
<option class="bx--select-option" value="Asia/Nicosia">Asia/Nicosia</option>
<option class="bx--select-option" value="Asia/Novokuznetsk">Asia/Novokuznetsk</option>
<option class="bx--select-option" value="Asia/Novosibirsk">Asia/Novosibirsk</option>
<option class="bx--select-option" value="Asia/Omsk">Asia/Omsk</option>
<option class="bx--select-option" value="Asia/Oral">Asia/Oral</option>
<option class="bx--select-option" value="Asia/Phnom_Penh">Asia/Phnom_Penh</option>
<option class="bx--select-option" value="Asia/Pontianak">Asia/Pontianak</option>
<option class="bx--select-option" value="Asia/Pyongyang">Asia/Pyongyang</option>
<option class="bx--select-option" value="Asia/Qatar">Asia/Qatar</option>
<option class="bx--select-option" value="Asia/Qostanay">Asia/Qostanay</option>
<option class="bx--select-option" value="Asia/Qyzylorda">Asia/Qyzylorda</option>
<option class="bx--select-option" value="Asia/Riyadh">Asia/Riyadh</option>
<option class="bx--select-option" value="Asia/Sakhalin">Asia/Sakhalin</option>
<option class="bx--select-option" value="Asia/Samarkand">Asia/Samarkand</option>
<option class="bx--select-option" value="Asia/Seoul">Asia/Seoul</option>
<option class="bx--select-option" value="Asia/Shanghai">Asia/Shanghai</option>
<option class="bx--select-option" value="Asia/Singapore">Asia/Singapore</option>
<option class="bx--select-option" value="Asia/Srednekolymsk">Asia/Srednekolymsk</option>
<option class="bx--select-option" value="Asia/Taipei">Asia/Taipei</option>
<option class="bx--select-option" value="Asia/Tashkent">Asia/Tashkent</option>
<option class="bx--select-option" value="Asia/Tbilisi">Asia/Tbilisi</option>
<option class="bx--select-option" value="Asia/Tehran">Asia/Tehran</option>
<option class="bx--select-option" value="Asia/Thimphu">Asia/Thimphu</option>
<option class="bx--select-option" value="Asia/Tokyo">Asia/Tokyo</option>
<option class="bx--select-option" value="Asia/Tomsk">Asia/Tomsk</option>
<option class="bx--select-option" value="Asia/Ulaanbaatar">Asia/Ulaanbaatar</option>
<option class="bx--select-option" value="Asia/Urumqi">Asia/Urumqi</option>
<option class="bx--select-option" value="Asia/Ust-Nera">Asia/Ust-Nera</option>
<option class="bx--select-option" value="Asia/Vientiane">Asia/Vientiane</option>
<option class="bx--select-option" value="Asia/Vladivostok">Asia/Vladivostok</option>
<option class="bx--select-option" value="Asia/Yakutsk">Asia/Yakutsk</option>
<option class="bx--select-option" value="Asia/Yangon">Asia/Yangon</option>
<option class="bx--select-option" value="Asia/Yekaterinburg">Asia/Yekaterinburg</option>
<option class="bx--select-option" value="Asia/Yerevan">Asia/Yerevan</option>
<option class="bx--select-option" value="Atlantic/Azores">Atlantic/Azores</option>
<option class="bx--select-option" value="Atlantic/Bermuda">Atlantic/Bermuda</option>
<option class="bx--select-option" value="Atlantic/Canary">Atlantic/Canary</option>
<option class="bx--select-option" value="Atlantic/Cape_Verde">Atlantic/Cape_Verde</option>
<option class="bx--select-option" value="Atlantic/Faroe">Atlantic/Faroe</option>
<option class="bx--select-option" value="Atlantic/Madeira">Atlantic/Madeira</option>
<option class="bx--select-option" value="Atlantic/Reykjavik">Atlantic/Reykjavik</option>
<option class="bx--select-option" value="Atlantic/South_Georgia">Atlantic/South_Georgia</option>
<option class="bx--select-option" value="Atlantic/St_Helena">Atlantic/St_Helena</option>
<option class="bx--select-option" value="Atlantic/Stanley">Atlantic/Stanley</option>
<option class="bx--select-option" value="Australia/Adelaide">Australia/Adelaide</option>
<option class="bx--select-option" value="Australia/Brisbane">Australia/Brisbane</option>
<option class="bx--select-option" value="Australia/Broken_Hill">Australia/Broken_Hill</option>
<option class="bx--select-option" value="Australia/Darwin">Australia/Darwin</option>
<option class="bx--select-option" value="Australia/Eucla">Australia/Eucla</option>
<option class="bx--select-option" value="Australia/Hobart">Australia/Hobart</option>
<option class="bx--select-option" value="Australia/Lindeman">Australia/Lindeman</option>
<option class="bx--select-option" value="Australia/Lord_Howe">Australia/Lord_Howe</option>
<option class="bx--select-option" value="Australia/Melbourne">Australia/Melbourne</option>
<option class="bx--select-option" value="Australia/Perth">Australia/Perth</option>
<option class="bx--select-option" value="Australia/Sydney">Australia/Sydney</option>
<option class="bx--select-option" value="Canada/Atlantic">Canada/Atlantic</option>
<option class="bx--select-option" value="Canada/Central">Canada/Central</option>
<option class="bx--select-option" value="Canada/Eastern">Canada/Eastern</option>
<option class="bx--select-option" value="Canada/Mountain">Canada/Mountain</option>
<option class="bx--select-option" value="Canada/Newfoundland">Canada/Newfoundland</option>
<option class="bx--select-option" value="Canada/Pacific">Canada/Pacific</option>
<option class="bx--select-option" value="Europe/Amsterdam">Europe/Amsterdam</option>
<option class="bx--select-option" value="Europe/Andorra">Europe/Andorra</option>
<option class="bx--select-option" value="Europe/Astrakhan">Europe/Astrakhan</option>
<option class="bx--select-option" value="Europe/Athens">Europe/Athens</option>
<option class="bx--select-option" value="Europe/Belgrade">Europe/Belgrade</option>
<option class="bx--select-option" value="Europe/Berlin">Europe/Berlin</option>
<option class="bx--select-option" value="Europe/Bratislava">Europe/Bratislava</option>
<option class="bx--select-option" value="Europe/Brussels">Europe/Brussels</option>
<option class="bx--select-option" value="Europe/Bucharest">Europe/Bucharest</option>
<option class="bx--select-option" value="Europe/Budapest">Europe/Budapest</option>
<option class="bx--select-option" value="Europe/Busingen">Europe/Busingen</option>
<option class="bx--select-option" value="Europe/Chisinau">Europe/Chisinau</option>
<option class="bx--select-option" value="Europe/Copenhagen">Europe/Copenhagen</option>
<option class="bx--select-option" value="Europe/Dublin">Europe/Dublin</option>
<option class="bx--select-option" value="Europe/Gibraltar">Europe/Gibraltar</option>
<option class="bx--select-option" value="Europe/Guernsey">Europe/Guernsey</option>
<option class="bx--select-option" value="Europe/Helsinki">Europe/Helsinki</option>
<option class="bx--select-option" value="Europe/Isle_of_Man">Europe/Isle_of_Man</option>
<option class="bx--select-option" value="Europe/Istanbul">Europe/Istanbul</option>
<option class="bx--select-option" value="Europe/Jersey">Europe/Jersey</option>
<option class="bx--select-option" value="Europe/Kaliningrad">Europe/Kaliningrad</option>
<option class="bx--select-option" value="Europe/Kiev">Europe/Kiev</option>
<option class="bx--select-option" value="Europe/Kirov">Europe/Kirov</option>
<option class="bx--select-option" value="Europe/Lisbon">Europe/Lisbon</option>
<option class="bx--select-option" value="Europe/Ljubljana">Europe/Ljubljana</option>
<option class="bx--select-option" value="Europe/London">Europe/London</option>
<option class="bx--select-option" value="Europe/Luxembourg">Europe/Luxembourg</option>
<option class="bx--select-option" value="Europe/Madrid">Europe/Madrid</option>
<option class="bx--select-option" value="Europe/Malta">Europe/Malta</option>
<option class="bx--select-option" value="Europe/Mariehamn">Europe/Mariehamn</option>
<option class="bx--select-option" value="Europe/Minsk">Europe/Minsk</option>
<option class="bx--select-option" value="Europe/Monaco">Europe/Monaco</option>
<option class="bx--select-option" value="Europe/Moscow">Europe/Moscow</option>
<option class="bx--select-option" value="Europe/Oslo">Europe/Oslo</option>
<option class="bx--select-option" value="Europe/Paris">Europe/Paris</option>
<option class="bx--select-option" value="Europe/Podgorica">Europe/Podgorica</option>
<option class="bx--select-option" value="Europe/Prague">Europe/Prague</option>
<option class="bx--select-option" value="Europe/Riga">Europe/Riga</option>
<option class="bx--select-option" value="Europe/Rome">Europe/Rome</option>
<option class="bx--select-option" value="Europe/Samara">Europe/Samara</option>
<option class="bx--select-option" value="Europe/San_Marino">Europe/San_Marino</option>
<option class="bx--select-option" value="Europe/Sarajevo">Europe/Sarajevo</option>
<option class="bx--select-option" value="Europe/Saratov">Europe/Saratov</option>
<option class="bx--select-option" value="Europe/Simferopol">Europe/Simferopol</option>
<option class="bx--select-option" value="Europe/Skopje">Europe/Skopje</option>
<option class="bx--select-option" value="Europe/Sofia">Europe/Sofia</option>
<option class="bx--select-option" value="Europe/Stockholm">Europe/Stockholm</option>
<option class="bx--select-option" value="Europe/Tallinn">Europe/Tallinn</option>
<option class="bx--select-option" value="Europe/Tirane">Europe/Tirane</option>
<option class="bx--select-option" value="Europe/Ulyanovsk">Europe/Ulyanovsk</option>
<option class="bx--select-option" value="Europe/Uzhgorod">Europe/Uzhgorod</option>
<option class="bx--select-option" value="Europe/Vaduz">Europe/Vaduz</option>
<option class="bx--select-option" value="Europe/Vatican">Europe/Vatican</option>
<option class="bx--select-option" value="Europe/Vienna">Europe/Vienna</option>
<option class="bx--select-option" value="Europe/Vilnius">Europe/Vilnius</option>
<option class="bx--select-option" value="Europe/Volgograd">Europe/Volgograd</option>
<option class="bx--select-option" value="Europe/Warsaw">Europe/Warsaw</option>
<option class="bx--select-option" value="Europe/Zagreb">Europe/Zagreb</option>
<option class="bx--select-option" value="Europe/Zaporozhye">Europe/Zaporozhye</option>
<option class="bx--select-option" value="Europe/Zurich">Europe/Zurich</option>
<option class="bx--select-option" value="GMT">GMT</option>
<option class="bx--select-option" value="Indian/Antananarivo">Indian/Antananarivo</option>
<option class="bx--select-option" value="Indian/Chagos">Indian/Chagos</option>
<option class="bx--select-option" value="Indian/Christmas">Indian/Christmas</option>
<option class="bx--select-option" value="Indian/Cocos">Indian/Cocos</option>
<option class="bx--select-option" value="Indian/Comoro">Indian/Comoro</option>
<option class="bx--select-option" value="Indian/Kerguelen">Indian/Kerguelen</option>
<option class="bx--select-option" value="Indian/Mahe">Indian/Mahe</option>
<option class="bx--select-option" value="Indian/Maldives">Indian/Maldives</option>
<option class="bx--select-option" value="Indian/Mauritius">Indian/Mauritius</option>
<option class="bx--select-option" value="Indian/Mayotte">Indian/Mayotte</option>
<option class="bx--select-option" value="Indian/Reunion">Indian/Reunion</option>
<option class="bx--select-option" value="Pacific/Apia">Pacific/Apia</option>
<option class="bx--select-option" value="Pacific/Auckland">Pacific/Auckland</option>
<option class="bx--select-option" value="Pacific/Bougainville">Pacific/Bougainville</option>
<option class="bx--select-option" value="Pacific/Chatham">Pacific/Chatham</option>
<option class="bx--select-option" value="Pacific/Chuuk">Pacific/Chuuk</option>
<option class="bx--select-option" value="Pacific/Easter">Pacific/Easter</option>
<option class="bx--select-option" value="Pacific/Efate">Pacific/Efate</option>
<option class="bx--select-option" value="Pacific/Fakaofo">Pacific/Fakaofo</option>
<option class="bx--select-option" value="Pacific/Fiji">Pacific/Fiji</option>
<option class="bx--select-option" value="Pacific/Funafuti">Pacific/Funafuti</option>
<option class="bx--select-option" value="Pacific/Galapagos">Pacific/Galapagos</option>
<option class="bx--select-option" value="Pacific/Gambier">Pacific/Gambier</option>
<option class="bx--select-option" value="Pacific/Guadalcanal">Pacific/Guadalcanal</option>
<option class="bx--select-option" value="Pacific/Guam">Pacific/Guam</option>
<option class="bx--select-option" value="Pacific/Honolulu">Pacific/Honolulu</option>
<option class="bx--select-option" value="Pacific/Kanton">Pacific/Kanton</option>
<option class="bx--select-option" value="Pacific/Kiritimati">Pacific/Kiritimati</option>
<option class="bx--select-option" value="Pacific/Kosrae">Pacific/Kosrae</option>
<option class="bx--select-option" value="Pacific/Kwajalein">Pacific/Kwajalein</option>
<option class="bx--select-option" value="Pacific/Majuro">Pacific/Majuro</option>
<option class="bx--select-option" value="Pacific/Marquesas">Pacific/Marquesas</option>
<option class="bx--select-option" value="Pacific/Midway">Pacific/Midway</option>
<option class="bx--select-option" value="Pacific/Nauru">Pacific/Nauru</option>
<option class="bx--select-option" value="Pacific/Niue">Pacific/Niue</option>
<option class="bx--select-option" value="Pacific/Norfolk">Pacific/Norfolk</option>
<option class="bx--select-option" value="Pacific/Noumea">Pacific/Noumea</option>
<option class="bx--select-option" value="Pacific/Pago_Pago">Pacific/Pago_Pago</option>
<option class="bx--select-option" value="Pacific/Palau">Pacific/Palau</option>
<option class="bx--select-option" value="Pacific/Pitcairn">Pacific/Pitcairn</option>
<option class="bx--select-option" value="Pacific/Pohnpei">Pacific/Pohnpei</option>
<option class="bx--select-option" value="Pacific/Port_Moresby">Pacific/Port_Moresby</option>
<option class="bx--select-option" value="Pacific/Rarotonga">Pacific/Rarotonga</option>
<option class="bx--select-option" value="Pacific/Saipan">Pacific/Saipan</option>
<option class="bx--select-option" value="Pacific/Tahiti">Pacific/Tahiti</option>
<option class="bx--select-option" value="Pacific/Tarawa">Pacific/Tarawa</option>
<option class="bx--select-option" value="Pacific/Tongatapu">Pacific/Tongatapu</option>
<option class="bx--select-option" value="Pacific/Wake">Pacific/Wake</option>
<option class="bx--select-option" value="Pacific/Wallis">Pacific/Wallis</option>
<option class="bx--select-option" value="US/Alaska">US/Alaska</option>
<option class="bx--select-option" value="US/Arizona">US/Arizona</option>
<option class="bx--select-option" value="US/Central">US/Central</option>
<option class="bx--select-option" value="US/Eastern">US/Eastern</option>
<option class="bx--select-option" value="US/Hawaii">US/Hawaii</option>
<option class="bx--select-option" value="US/Mountain">US/Mountain</option>
<option class="bx--select-option" value="US/Pacific">US/Pacific</option>
<option class="bx--select-option" value="UTC">UTC</option>
</select>
<svg focusable="false" preserveAspectRatio="xMidYMid meet"
xmlns="http://www.w3.org/2000/svg" fill="currentColor"
class="bx--select__arrow" width="16" height="16" viewBox="0 0 16 16"
aria-hidden="true">
<path d="M8 11L3 6 3.7 5.3 8 9.6 12.3 5.3 13 6z"></path>
</svg>
</div>
</div>
</div>
"""
rendered = compare_template(template, expected)
self.assertEqual(*rendered)
| 78.98778
| 267
| 0.766083
| 5,324
| 38,783
| 5.551089
| 0.111007
| 0.107532
| 0.195743
| 0.283515
| 0.665832
| 0.663328
| 0.66255
| 0.657745
| 0.094505
| 0.033092
| 0
| 0.002555
| 0.041358
| 38,783
| 490
| 268
| 79.14898
| 0.792356
| 0.002321
| 0
| 0.051335
| 0
| 0.911704
| 0.992634
| 0.85348
| 0
| 0
| 0
| 0
| 0.002053
| 1
| 0.002053
| false
| 0
| 0.002053
| 0
| 0.008214
| 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
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2302c030895d0f8454025d172c02962a378b1662
| 1,107
|
py
|
Python
|
setup.py
|
mansam/validator.py
|
22d31a0b78e645cf4ec9694cdfb4612977370c6d
|
[
"MIT"
] | 87
|
2015-01-29T15:43:44.000Z
|
2022-03-09T07:04:16.000Z
|
setup.py
|
mansam/validator.py
|
22d31a0b78e645cf4ec9694cdfb4612977370c6d
|
[
"MIT"
] | 25
|
2015-01-05T14:19:53.000Z
|
2021-03-05T17:20:03.000Z
|
setup.py
|
mansam/validator.py
|
22d31a0b78e645cf4ec9694cdfb4612977370c6d
|
[
"MIT"
] | 32
|
2015-08-20T06:17:33.000Z
|
2021-11-09T19:16:38.000Z
|
from setuptools import setup
setup(
name='validator.py',
version='1.3.0',
author='Samuel "mansam" Lucidi',
author_email="sam@samlucidi.com",
packages=['validator'],
url='https://github.com/mansam/validator.py',
description='A library for appling schemas to data structures.',
long_description=open('README.rst').read(),
classifiers=[
"Development Status :: 5 - Production/Stable",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.0",
"Programming Language :: Python :: 3.1",
"Programming Language :: Python :: 3.2",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: Implementation :: PyPy"
],
license='MIT'
)
| 36.9
| 68
| 0.599819
| 117
| 1,107
| 5.65812
| 0.478632
| 0.344411
| 0.453172
| 0.353474
| 0.081571
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029869
| 0.243902
| 1,107
| 29
| 69
| 38.172414
| 0.761051
| 0
| 0
| 0
| 0
| 0
| 0.638663
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.035714
| 0
| 0.035714
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
2321173b6cb9584852d15f26101b77960f964729
| 144
|
py
|
Python
|
fhwebscrapers/__init__.py
|
dantas5/FinanceHub
|
9691c9e10654c0608d1ca8c8798a5a26c227af87
|
[
"MIT"
] | null | null | null |
fhwebscrapers/__init__.py
|
dantas5/FinanceHub
|
9691c9e10654c0608d1ca8c8798a5a26c227af87
|
[
"MIT"
] | null | null | null |
fhwebscrapers/__init__.py
|
dantas5/FinanceHub
|
9691c9e10654c0608d1ca8c8798a5a26c227af87
|
[
"MIT"
] | null | null | null |
from fhwebscrapers.B3derivatives.curvasb3 import ScraperB3
from fhwebscrapers.CETIP.getcetipdata import CETIP
__all__ = ['ScraperB3', 'CETIP']
| 28.8
| 58
| 0.826389
| 15
| 144
| 7.666667
| 0.6
| 0.295652
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030534
| 0.090278
| 144
| 4
| 59
| 36
| 0.847328
| 0
| 0
| 0
| 0
| 0
| 0.097222
| 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
|
88bd9440904e4e745ea46a859a598eeb2a22bf97
| 20
|
py
|
Python
|
python/testData/refactoring/changeSignature/nonDefaultAfterDefault1.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2018-12-29T09:53:39.000Z
|
2018-12-29T09:53:42.000Z
|
python/testData/refactoring/changeSignature/nonDefaultAfterDefault1.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/refactoring/changeSignature/nonDefaultAfterDefault1.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
def foo(b=1):
pass
| 10
| 13
| 0.6
| 5
| 20
| 2.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 0.2
| 20
| 2
| 14
| 10
| 0.6875
| 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
|
88cc5b4b5dc736d6b8f2e83c34762ada5532c58b
| 200
|
py
|
Python
|
sdata_experiments/tension_test.py
|
lepy/sdata_experiments
|
84aa32ec497639a30d4f71c7fa9e463cf2d8f037
|
[
"MIT"
] | 1
|
2020-12-21T18:28:00.000Z
|
2020-12-21T18:28:00.000Z
|
sdata_experiments/tension_test.py
|
lepy/sdata_experiments
|
84aa32ec497639a30d4f71c7fa9e463cf2d8f037
|
[
"MIT"
] | null | null | null |
sdata_experiments/tension_test.py
|
lepy/sdata_experiments
|
84aa32ec497639a30d4f71c7fa9e463cf2d8f037
|
[
"MIT"
] | null | null | null |
# -*-coding: utf-8-*-
from sdata.experiments import Test
class TensionTest(Test):
"""Tension test
"""
def __init__(self, name, **kwargs):
Test.__init__(self, name=name, **kwargs)
| 22.222222
| 48
| 0.63
| 24
| 200
| 4.916667
| 0.666667
| 0.135593
| 0.20339
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00625
| 0.2
| 200
| 9
| 48
| 22.222222
| 0.73125
| 0.195
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
88df286145e7e147b9e1130f9bc8b72465b90272
| 180
|
py
|
Python
|
mysite/iic/views.py
|
sandeepkeshav/iicj
|
c457fec176918af500699c8607f1d8cfc7543f1d
|
[
"MIT"
] | 1
|
2020-11-25T17:02:25.000Z
|
2020-11-25T17:02:25.000Z
|
mysite/iic/views.py
|
sandeepkeshav/iicj
|
c457fec176918af500699c8607f1d8cfc7543f1d
|
[
"MIT"
] | null | null | null |
mysite/iic/views.py
|
sandeepkeshav/iicj
|
c457fec176918af500699c8607f1d8cfc7543f1d
|
[
"MIT"
] | 1
|
2020-11-25T17:01:33.000Z
|
2020-11-25T17:01:33.000Z
|
from __future__ import unicode_literals
from django.shortcuts import render
from django.http import HttpResponse
def iichome(request):
return render(request, 'iic/home.html')
| 25.714286
| 43
| 0.811111
| 24
| 180
| 5.875
| 0.708333
| 0.141844
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122222
| 180
| 6
| 44
| 30
| 0.892405
| 0
| 0
| 0
| 0
| 0
| 0.072222
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.6
| 0.2
| 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
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
000efb3a697a68b72463aeb6cc6355689b2f13ed
| 102
|
py
|
Python
|
meld/plugins/move/main.py
|
dersal-dev/meld
|
bb746e8c5a2eec9f0aff5fbbfd698c6d43fa8e93
|
[
"MIT"
] | null | null | null |
meld/plugins/move/main.py
|
dersal-dev/meld
|
bb746e8c5a2eec9f0aff5fbbfd698c6d43fa8e93
|
[
"MIT"
] | null | null | null |
meld/plugins/move/main.py
|
dersal-dev/meld
|
bb746e8c5a2eec9f0aff5fbbfd698c6d43fa8e93
|
[
"MIT"
] | null | null | null |
from meld import logger
def main():
logger.info('Starting move operation')
logger.info('Finished')
| 17
| 39
| 0.745098
| 14
| 102
| 5.428571
| 0.785714
| 0.263158
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.127451
| 102
| 6
| 40
| 17
| 0.853933
| 0
| 0
| 0
| 0
| 0
| 0.300971
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.25
| 0
| 0.5
| 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
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
00366e60b64cbced6f7219fc7522d549d4e96c74
| 48
|
py
|
Python
|
src/pyyam/yam/exceptions/ShardConfigException.py
|
dpquigl/YAM
|
bd30afd1e2e662e43da0c41de6bde814f9fae1cf
|
[
"Apache-2.0"
] | null | null | null |
src/pyyam/yam/exceptions/ShardConfigException.py
|
dpquigl/YAM
|
bd30afd1e2e662e43da0c41de6bde814f9fae1cf
|
[
"Apache-2.0"
] | null | null | null |
src/pyyam/yam/exceptions/ShardConfigException.py
|
dpquigl/YAM
|
bd30afd1e2e662e43da0c41de6bde814f9fae1cf
|
[
"Apache-2.0"
] | null | null | null |
class ShardConfigException(ValueError):
pass
| 24
| 39
| 0.8125
| 4
| 48
| 9.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.125
| 48
| 2
| 40
| 24
| 0.928571
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| 0
| true
| 0.5
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| null | 0
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| 0
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| null | 0
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| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
0046656ceee49a476e8e983594a595e1bad5bf96
| 27
|
py
|
Python
|
tpucolab/__init__.py
|
taomanwai/tpucolab
|
b822cc145987db96cfb0052dbb10934bedd005e6
|
[
"MIT"
] | 1
|
2021-12-24T23:53:08.000Z
|
2021-12-24T23:53:08.000Z
|
tpucolab/__init__.py
|
taomanwai/tpucolab
|
b822cc145987db96cfb0052dbb10934bedd005e6
|
[
"MIT"
] | null | null | null |
tpucolab/__init__.py
|
taomanwai/tpucolab
|
b822cc145987db96cfb0052dbb10934bedd005e6
|
[
"MIT"
] | 2
|
2018-12-16T14:08:54.000Z
|
2019-05-28T14:41:59.000Z
|
from tpucolab.core import *
| 27
| 27
| 0.814815
| 4
| 27
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0.111111
| 27
| 1
| 27
| 27
| 0.916667
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| true
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| null | 0
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| 0
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| 1
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| null | 0
| 0
| 0
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| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
cc42acd8fcb3b2b7849649f0c10ba4fa44824a33
| 82
|
py
|
Python
|
utils/__init__.py
|
HerrYu123/deeplabv3
|
4f29d2bfb725a77b22fb04e1e0006ae742fa5d47
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
HerrYu123/deeplabv3
|
4f29d2bfb725a77b22fb04e1e0006ae742fa5d47
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
HerrYu123/deeplabv3
|
4f29d2bfb725a77b22fb04e1e0006ae742fa5d47
|
[
"MIT"
] | null | null | null |
from .utils import add_weight_decay, AverageMeter, label_img_to_color, check_mkdir
| 82
| 82
| 0.878049
| 13
| 82
| 5.076923
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073171
| 82
| 1
| 82
| 82
| 0.868421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 1
| 0
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
ccb0eb936ec41c62e8c05807faa25bca2c7ad40d
| 48
|
py
|
Python
|
tests/extensions/artificial_intelligence/ai_model/__init__.py
|
chr0m1ng/blip-sdk-js
|
74f404a3ef048a100cc330f78a9751572e31fb0b
|
[
"MIT"
] | null | null | null |
tests/extensions/artificial_intelligence/ai_model/__init__.py
|
chr0m1ng/blip-sdk-js
|
74f404a3ef048a100cc330f78a9751572e31fb0b
|
[
"MIT"
] | 9
|
2021-05-27T21:08:23.000Z
|
2021-06-14T20:10:10.000Z
|
tests/extensions/artificial_intelligence/ai_model/__init__.py
|
chr0m1ng/blip-sdk-python
|
74f404a3ef048a100cc330f78a9751572e31fb0b
|
[
"MIT"
] | null | null | null |
from .test_ai_model import TestAiModelExtension
| 24
| 47
| 0.895833
| 6
| 48
| 6.833333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 48
| 1
| 48
| 48
| 0.931818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 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
|
ccbffdcc60fb438aee22b3f831c544750ef569d6
| 246
|
py
|
Python
|
minds/sections/__init__.py
|
Atherz97/minds-bot
|
965f44ba39ad816947e4bcba051a86fa1c5ee05c
|
[
"MIT"
] | 3
|
2020-05-01T10:59:59.000Z
|
2022-01-18T01:40:34.000Z
|
minds/sections/__init__.py
|
Atherz97/minds-bot
|
965f44ba39ad816947e4bcba051a86fa1c5ee05c
|
[
"MIT"
] | null | null | null |
minds/sections/__init__.py
|
Atherz97/minds-bot
|
965f44ba39ad816947e4bcba051a86fa1c5ee05c
|
[
"MIT"
] | null | null | null |
from minds.sections.newsfeed import NewsfeedAPI
from minds.sections.channel import ChannelAPI
from minds.sections.notifications import NotificationsAPI
from minds.sections.posting import PostingAPI
from minds.sections.interact import InteractAPI
| 41
| 57
| 0.878049
| 30
| 246
| 7.2
| 0.466667
| 0.208333
| 0.393519
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081301
| 246
| 5
| 58
| 49.2
| 0.955752
| 0
| 0
| 0
| 0
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| 0
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| 0
| true
| 0
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| null | 1
| 1
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
aeaa0a335119f48bebc88e35cf1698370503f3a0
| 259
|
py
|
Python
|
pyautofinance/common/strategies/usable_strategies/live_trading_test_strategy.py
|
webclinic017/PyAutoFinance
|
532cb1c5418dd9eeb07f2f08646170cde1fe0303
|
[
"MIT"
] | null | null | null |
pyautofinance/common/strategies/usable_strategies/live_trading_test_strategy.py
|
webclinic017/PyAutoFinance
|
532cb1c5418dd9eeb07f2f08646170cde1fe0303
|
[
"MIT"
] | null | null | null |
pyautofinance/common/strategies/usable_strategies/live_trading_test_strategy.py
|
webclinic017/PyAutoFinance
|
532cb1c5418dd9eeb07f2f08646170cde1fe0303
|
[
"MIT"
] | 1
|
2022-02-24T09:18:13.000Z
|
2022-02-24T09:18:13.000Z
|
from pyautofinance.common.strategies.bracket_strategy import BracketStrategy
class LiveTradingTestStrategy(BracketStrategy):
def _open_long_condition(self) -> bool:
return True
def _open_short_condition(self) -> bool:
return False
| 23.545455
| 76
| 0.760618
| 27
| 259
| 7.037037
| 0.740741
| 0.073684
| 0.178947
| 0.242105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177606
| 259
| 10
| 77
| 25.9
| 0.892019
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 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
|
aebb903fbc8412bafe91beffd2ed946df7885f12
| 132
|
py
|
Python
|
python/Numpy/np-arrays.py
|
cdrowley/hackerrank
|
cc5c925327cd3ce5b52c1614b814da75d42cca72
|
[
"MIT"
] | null | null | null |
python/Numpy/np-arrays.py
|
cdrowley/hackerrank
|
cc5c925327cd3ce5b52c1614b814da75d42cca72
|
[
"MIT"
] | null | null | null |
python/Numpy/np-arrays.py
|
cdrowley/hackerrank
|
cc5c925327cd3ce5b52c1614b814da75d42cca72
|
[
"MIT"
] | null | null | null |
# https://www.hackerrank.com/challenges/np-arrays/problem
import numpy
def arrays(arr):
return numpy.array(arr, float)[::-1]
| 16.5
| 57
| 0.712121
| 19
| 132
| 4.947368
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008621
| 0.121212
| 132
| 7
| 58
| 18.857143
| 0.801724
| 0.416667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 5
|
4e09007daa6d9ebbc5192124ce8ef2f0a488eb4d
| 7,130
|
py
|
Python
|
day24_mzn.py
|
galleon/adventofcode2021
|
2bf626821d8e2b2278c0009ef4f008433c3c3788
|
[
"MIT"
] | null | null | null |
day24_mzn.py
|
galleon/adventofcode2021
|
2bf626821d8e2b2278c0009ef4f008433c3c3788
|
[
"MIT"
] | null | null | null |
day24_mzn.py
|
galleon/adventofcode2021
|
2bf626821d8e2b2278c0009ef4f008433c3c3788
|
[
"MIT"
] | null | null | null |
from ortools.linear_solver import pywraplp
from ortools.sat.python import cp_model
my_program = [
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "1"],
["add", "x", "12"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "6"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "1"],
["add", "x", "10"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "6"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "1"],
["add", "x", "13"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "3"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "26"],
["add", "x", "-11"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "11"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "1"],
["add", "x", "13"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "9"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "26"],
["add", "x", "-1"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "3"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "1"],
["add", "x", "10"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "13"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "1"],
["add", "x", "11"],
["eql", "x", "w"],
["eql", "x", "0"],
["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
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["add", "y", "14"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "1"],
["add", "x", "10"],
["eql", "x", "w"],
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["mul", "y", "0"],
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["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
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["add", "y", "10"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "26"],
["add", "x", "-5"],
["eql", "x", "w"],
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["add", "y", "25"],
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["add", "y", "1"],
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["add", "y", "11"],
["mul", "y", "x"],
["add", "z", "y"],
["inp", "w"],
["mul", "x", "0"],
["add", "x", "z"],
["mod", "x", "26"],
["div", "z", "26"],
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["mul", "y", "0"],
["add", "y", "25"],
["mul", "y", "x"],
["add", "y", "1"],
["mul", "z", "y"],
["mul", "y", "0"],
["add", "y", "w"],
["add", "y", "15"],
["mul", "y", "x"],
["add", "z", "y"],
]
def main():
registers = {r: r for r in "wxyz"}
program = []
try:
with open("inputs/2021/24_") as f:
for line in f:
program.append(line.split())
except:
program = my_program
# program = []
for i, inst in enumerate(program):
# print(f"{registers} | {inst}")
if inst[0] == "inp":
print(f"constraint v[{i}] = d[{i//18}];")
registers[inst[1]] = f"v[{i}]"
continue
op1, op2 = inst[1:]
op2 = registers[op2] if op2 in registers else int(op2)
if inst[0] == "add":
print(f"constraint v[{i}] = {registers[op1]} + {op2};")
elif inst[0] == "mul":
print(f"constraint v[{i}] = {registers[op1]} * {op2};")
elif inst[0] == "mod":
print(f"constraint v[{i}] = {registers[op1]} mod {op2};")
elif inst[0] == "div":
print(f"constraint v[{i}] = {registers[op1]} div {op2};")
elif inst[0] == "eql":
print(
f"constraint v[{i}] = if {registers[op1]} == {op2} then 1 else 0 endif;"
)
else:
assert False
registers[op1] = f"v[{i}]"
if __name__ == "__main__":
main()
| 23.453947
| 88
| 0.274474
| 911
| 7,130
| 2.133919
| 0.084523
| 0.115226
| 0.072016
| 0.115226
| 0.752058
| 0.733539
| 0.728395
| 0.697531
| 0.697531
| 0.697531
| 0
| 0.046285
| 0.309116
| 7,130
| 303
| 89
| 23.531353
| 0.348356
| 0.006031
| 0
| 0.83045
| 0
| 0.00346
| 0.232355
| 0
| 0
| 0
| 0
| 0
| 0.00346
| 1
| 0.00346
| false
| 0
| 0.00692
| 0
| 0.010381
| 0.020761
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
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