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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cf354b3d1bbdd2a36e0af470464763b62d8647bc
| 4,415
|
py
|
Python
|
reasoning_lib/analyze/models.py
|
UKPLab/emnlp2020-faithful-rationales
|
f8db727019b9498765a502dd2cadb3b0a62ee766
|
[
"Apache-1.1"
] | 4
|
2021-01-28T17:10:49.000Z
|
2021-11-09T14:50:47.000Z
|
reasoning_lib/analyze/models.py
|
UKPLab/emnlp2020-faithful-rationales
|
f8db727019b9498765a502dd2cadb3b0a62ee766
|
[
"Apache-1.1"
] | null | null | null |
reasoning_lib/analyze/models.py
|
UKPLab/emnlp2020-faithful-rationales
|
f8db727019b9498765a502dd2cadb3b0a62ee766
|
[
"Apache-1.1"
] | 1
|
2020-11-15T16:28:14.000Z
|
2020-11-15T16:28:14.000Z
|
PRED_DIR = './../../../predictions'
#
# TEST
#
# MultiRC
# Test Predictions
MULTIRC_TEST_BB_S1 = 'multirc_bert_blackbox_predictions_test.jsonl'
MULTIRC_TEST_BB_S2 = 'multirc_bert_blackbox_seed2_predictions_test.jsonl'
MULTIRC_TEST_BB_S3 = 'multirc_bert_blackbox_seed3_predictions_test.jsonl'
MULTIRC_TEST_BB_S4 = 'multirc_bert_blackbox_seed4_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S1 = 'multirc_singlesent_u_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S2 = 'multirc_singlesent_u_seed2_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S3 = 'multirc_singlesent_u_seed3_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_U_S4 = 'multirc_singlesent_u_seed4_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_S_S1 = 'multirc_singlesent_s_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_S_S2 = 'multirc_singlesent_s_seed2_predictions_test.jsonl'
MULTIRC_TEST_SINGLE_S_S3 = 'multirc_singlesent_s_seed3_predictions_test.jsonl'
MULTIRC_TEST_MULTI_U_S1 = 'multirc_twosent_u_predictions_test.jsonl'
MULTIRC_TEST_MULTI_U_S2 = 'multirc_twosent_u_seed2_predictions_test.jsonl'
MULTIRC_TEST_MULTI_U_S3 = 'multirc_twosent_u_seed3_predictions_test.jsonl'
MULTIRC_TEST_MULTI_S_S1 = 'multirc_twosent_s_predictions_test.jsonl'
MULTIRC_TEST_MULTI_S_S2 = 'multirc_twosent_s_seed2_predictions_test.jsonl'
MULTIRC_TEST_MULTI_S_S3 = 'multirc_twosent_s_seed3_predictions_test.jsonl'
# FEVER
FEVER_TEST_BB_S1 = 'fever_bert_blackbox_predictions_test.jsonl'
FEVER_TEST_BB_S2 = 'fever_bert_blackbox_seed2_predictions_test.jsonl'
FEVER_TEST_BB_S3 = 'fever_bert_blackbox_seed3_predictions_test.jsonl'
FEVER_TEST_SINGLE_U_S1 = 'fever_singlesent_u_predictions_test.jsonl'
FEVER_TEST_SINGLE_U_S2 = 'fever_singlesent_u_seed2_predictions_test.jsonl'
FEVER_TEST_SINGLE_U_S3 = 'fever_singlesent_u_seed3_predictions_test.jsonl'
FEVER_TEST_SINGLE_S_S1 = 'fever_singlesent_s_predictions_test.jsonl'
FEVER_TEST_SINGLE_S_S2 = 'fever_singlesent_s_seed2_predictions_test.jsonl'
FEVER_TEST_SINGLE_S_S3 = 'fever_singlesent_s_seed3_predictions_test.jsonl'
FEVER_TEST_MULTI_U_S1 = 'fever_twosent_u_predictions_test.jsonl'
FEVER_TEST_MULTI_U_S2 = 'fever_twosent_u_seed2_predictions_test.jsonl'
FEVER_TEST_MULTI_U_S3 = 'fever_twosent_u_seed3_predictions_test.jsonl'
FEVER_TEST_MULTI_S_S1 = 'fever_twosent_s_predictions_test.jsonl'
FEVER_TEST_MULTI_S_S2 = 'fever_twosent_s_seed2_predictions_test.jsonl'
FEVER_TEST_MULTI_S_S3 = 'fever_twosent_s_seed3_predictions_test.jsonl'
# Movies
MOVIES_TEST_BB_S1 = 'movies_bert_blackbox_predictions_test.jsonl'
MOVIES_TEST_BB_S2 = 'movies_bert_blackbox_seed2_predictions_test.jsonl'
MOVIES_TEST_BB_S3 = 'movies_bert_blackbox_seed3_predictions_test.jsonl'
MOVIES_TEST_SINGLE_U_S1 = 'movies_singlesent_u_predictions_test.jsonl'
MOVIES_TEST_SINGLE_U_S2 = 'movies_singlesent_u_seed2_predictions_test.jsonl'
MOVIES_TEST_SINGLE_U_S3 = 'movies_singlesent_u_seed3_predictions_test.jsonl'
MOVIES_TEST_SINGLE_S_S1 = 'movies_singlesent_s_predictions_test.jsonl'
MOVIES_TEST_SINGLE_S_S2 = 'movies_singlesent_s_seed2_predictions_test.jsonl'
MOVIES_TEST_SINGLE_S_S3 = 'movies_singlesent_s_seed3_predictions_test.jsonl'
#
# Val
#
SRC_BEST_MULTIRC_SINGLE_U = 'multirc_singlesent_u_predictions_val.jsonl'
SRC_BEST_MULTIRC_SINGLE_S = 'multirc_singlesent_s_seed3_predictions_val.jsonl'
SRC_BEST_MULTIRC_MULTI_U = 'multirc_twosent_u_seed3_predictions_val.jsonl'
SRC_BEST_MULTIRC_MULTI_S = 'multirc_twosent_s_predictions_val.jsonl'
SRC_BEST_FEVER_SINGLE_U = 'fever_singlesent_u_predictions_val.jsonl'
SRC_BEST_FEVER_SINGLE_S = 'fever_singlesent_s_seed3_predictions_val.jsonl'
SRC_BEST_FEVER_MULTI_U = 'fever_twosent_u_predictions_val.jsonl'
SRC_BEST_FEVER_MULTI_S = 'fever_twosent_s_seed2_predictions_val.jsonl'
#
# SYM
#
FEVER_TEST_BB_S1_SYM = 'fever_symmetric_bert_blackbox_predictions.jsonl'
FEVER_TEST_BB_S2_SYM = 'fever_symmetric_bert_blackbox_seed2_predictions.jsonl'
FEVER_TEST_BB_S3_SYM = 'fever_symmetric_bert_blackbox_seed3_predictions.jsonl'
FEVER_TEST_SINGLE_U_S1_SYM = 'fever_symmetric_singlesent_u_predictions.jsonl'
FEVER_TEST_SINGLE_U_S2_SYM = 'fever_symmetric_singlesent_u_seed2_predictions.jsonl'
FEVER_TEST_SINGLE_U_S3_SYM = 'fever_symmetric_singlesent_u_seed3_predictions.jsonl'
FEVER_TEST_SINGLE_S_S1_SYM = 'fever_symmetric_singlesent_s_predictions.jsonl'
FEVER_TEST_SINGLE_S_S2_SYM = 'fever_symmetric_singlesent_s_seed2_predictions.jsonl'
FEVER_TEST_SINGLE_S_S3_SYM = 'fever_symmetric_singlesent_s_seed3_predictions.jsonl'
| 48.516484
| 83
| 0.892412
| 683
| 4,415
| 5.038067
| 0.04246
| 0.183086
| 0.238303
| 0.125545
| 0.850625
| 0.695437
| 0.453647
| 0.040395
| 0
| 0
| 0
| 0.020957
| 0.048924
| 4,415
| 91
| 84
| 48.516484
| 0.798523
| 0.011325
| 0
| 0
| 0
| 0
| 0.616039
| 0.616039
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
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| null | 0
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| 0
| 0
| 0
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| 1
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d89315f437c62b83e64784669129e42587a8b141
| 72
|
py
|
Python
|
src/module/__init__.py
|
cchao0116/S2PNM-TKDE2021
|
594d95a909a6c13c598c1ed16396409d0f75d142
|
[
"MIT"
] | 2
|
2022-03-29T03:58:40.000Z
|
2022-03-29T15:40:45.000Z
|
src/module/__init__.py
|
cchao0116/S2PNM-TKDE2021
|
594d95a909a6c13c598c1ed16396409d0f75d142
|
[
"MIT"
] | null | null | null |
src/module/__init__.py
|
cchao0116/S2PNM-TKDE2021
|
594d95a909a6c13c598c1ed16396409d0f75d142
|
[
"MIT"
] | null | null | null |
"""
@version: 2.0
@author: Chao Chen
@contact: cchao@didiglobal.com
"""
| 12
| 30
| 0.666667
| 10
| 72
| 4.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031746
| 0.125
| 72
| 5
| 31
| 14.4
| 0.730159
| 0.875
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| 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
| 4
|
d894b5412d7dbb34bcd49c6ab96e41db3cbb0093
| 141
|
py
|
Python
|
server/src/police_lineups/db/base_model_.py
|
vabalcar/police-lineups
|
9c4a17d58e973d6db6e442bd9d5f4313ad4d51b7
|
[
"MIT"
] | null | null | null |
server/src/police_lineups/db/base_model_.py
|
vabalcar/police-lineups
|
9c4a17d58e973d6db6e442bd9d5f4313ad4d51b7
|
[
"MIT"
] | 2
|
2021-09-24T11:43:58.000Z
|
2021-09-24T12:00:21.000Z
|
server/src/police_lineups/db/base_model_.py
|
vabalcar/police-lineups
|
9c4a17d58e973d6db6e442bd9d5f4313ad4d51b7
|
[
"MIT"
] | null | null | null |
from peewee import Model
from police_lineups.singletons import DB
class BaseModel(Model):
class Meta:
database = DB().current
| 15.666667
| 40
| 0.723404
| 18
| 141
| 5.611111
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212766
| 141
| 8
| 41
| 17.625
| 0.90991
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
d895875ca8a4735253cf5f847719041a81b31c13
| 88
|
py
|
Python
|
example/run.py
|
ccharlesgb/fastapi-versioned
|
5488cda86665de5cb2d0cfce7ff5660e90c6358f
|
[
"MIT"
] | null | null | null |
example/run.py
|
ccharlesgb/fastapi-versioned
|
5488cda86665de5cb2d0cfce7ff5660e90c6358f
|
[
"MIT"
] | null | null | null |
example/run.py
|
ccharlesgb/fastapi-versioned
|
5488cda86665de5cb2d0cfce7ff5660e90c6358f
|
[
"MIT"
] | null | null | null |
from uvicorn import run
if __name__ == "__main__":
run("example:app", reload=True)
| 17.6
| 35
| 0.693182
| 12
| 88
| 4.416667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170455
| 88
| 4
| 36
| 22
| 0.726027
| 0
| 0
| 0
| 0
| 0
| 0.215909
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 4
|
d8a9a7c7233ed003456da709547ef82ed35db981
| 141
|
py
|
Python
|
diskimgr/__main__.py
|
bitsgalore/diskimgr
|
e374bb44132c7c45da107203b90f3644ddfba065
|
[
"Apache-2.0"
] | 6
|
2019-09-23T17:38:53.000Z
|
2022-02-18T01:33:50.000Z
|
diskimgr/__main__.py
|
bitsgalore/diskimgr
|
e374bb44132c7c45da107203b90f3644ddfba065
|
[
"Apache-2.0"
] | 5
|
2019-04-02T16:15:12.000Z
|
2019-04-03T16:28:40.000Z
|
diskimgr/__main__.py
|
bitsgalore/diskimgr
|
e374bb44132c7c45da107203b90f3644ddfba065
|
[
"Apache-2.0"
] | null | null | null |
#! /usr/bin/env python3
"""diskimgr.__main__: executed when diskimgr directory is called as script."""
from .diskimgr import main
main()
| 15.666667
| 78
| 0.730496
| 19
| 141
| 5.210526
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008333
| 0.148936
| 141
| 8
| 79
| 17.625
| 0.816667
| 0.673759
| 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
| 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
| 4
|
d8b31b7a6021efd8592113fabe2ab7eefb579264
| 2,626
|
py
|
Python
|
DATABASE/ShellsploitFancy/FreeBSDx86/add_user.py
|
EgeBalci/Shellcode
|
2475af53b20186283b3eb1572d4de58650ad4652
|
[
"MIT"
] | 2
|
2017-04-11T21:58:34.000Z
|
2020-05-18T02:04:41.000Z
|
DATABASE/ShellsploitFancy/FreeBSDx86/add_user.py
|
EgeBalci/Shellcode
|
2475af53b20186283b3eb1572d4de58650ad4652
|
[
"MIT"
] | null | null | null |
DATABASE/ShellsploitFancy/FreeBSDx86/add_user.py
|
EgeBalci/Shellcode
|
2475af53b20186283b3eb1572d4de58650ad4652
|
[
"MIT"
] | 4
|
2017-04-11T21:58:35.000Z
|
2021-05-14T04:53:15.000Z
|
#http://shell-storm.org/shellcode/files/shellcode-165.php
#I can use it ..
"""
00000000 EB2B jmp short 0x2d
00000002 5E pop esi
00000003 31C0 xor eax,eax
00000005 88460B mov [esi+0xb],al
00000008 884629 mov [esi+0x29],al
0000000B 50 push eax
0000000C B009 mov al,0x9
0000000E 50 push eax
0000000F 31C0 xor eax,eax
00000011 56 push esi
00000012 50 push eax
00000013 B005 mov al,0x5
00000015 CD80 int 0x80
00000017 89C3 mov ebx,eax
00000019 6A1D push byte +0x1d
0000001B 8D460C lea eax,[esi+0xc]
0000001E 50 push eax
0000001F 53 push ebx
00000020 50 push eax
00000021 31C0 xor eax,eax
00000023 B004 mov al,0x4
00000025 CD80 int 0x80
00000027 31C0 xor eax,eax
00000029 B001 mov al,0x1
0000002B CD80 int 0x80
0000002D E8D0FFFFFF call dword 0x2
00000032 2F das
00000033 746D jz 0xa2
00000035 702F jo 0x66
00000037 7061 jo 0x9a
00000039 7373 jnc 0xae
0000003B 7764 ja 0xa1
0000003D 307730 xor [edi+0x30],dh
00000040 307730 xor [edi+0x30],dh
00000043 303A xor [edx],bh
00000045 3A30 cmp dh,[eax]
00000047 3A30 cmp dh,[eax]
00000049 3A7730 cmp dh,[edi+0x30]
0000004C 307730 xor [edi+0x30],dh
0000004F 303A xor [edx],bh
00000051 2F das
00000052 3A2F cmp ch,[edi]
00000054 62696E bound ebp,[ecx+0x6e]
00000057 2F das
00000058 7368 jnc 0xc2
0000005A 0A30 or dh,[eax]
0000005C FF db 0xff
0000005D FF db 0xff
0000005E FF db 0xff
0000005F FF db 0xff
00000060 FF db 0xff
00000061 FF db 0xff
00000062 FF db 0xff
00000063 FF db 0xff
00000064 FF db 0xff
00000065 FF db 0xff
00000066 FF db 0xff
00000067 FF db 0xff
00000068 FF db 0xff
00000069 FF db 0xff
0000006A FF db 0xff
0000006B FF db 0xff
0000006C FF db 0xff
0000006D FF db 0xff
0000006E FF db 0xff
0000006F FF db 0xff
"""
| 36.472222
| 57
| 0.498096
| 308
| 2,626
| 4.246753
| 0.522727
| 0.061162
| 0.122324
| 0.039755
| 0.041284
| 0
| 0
| 0
| 0
| 0
| 0
| 0.518012
| 0.471439
| 2,626
| 72
| 58
| 36.472222
| 0.424352
| 0.99505
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 0
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| 0
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| 1
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| 1
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| 0
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| 0
| 0
|
0
| 4
|
d8cb8cfe4f25242bae287c41e163e9ec10a61242
| 255
|
py
|
Python
|
guet/git/set_author.py
|
sapphon/guet
|
60872bfb149ad16a3c5309e283a6b886080a13dc
|
[
"Apache-2.0"
] | null | null | null |
guet/git/set_author.py
|
sapphon/guet
|
60872bfb149ad16a3c5309e283a6b886080a13dc
|
[
"Apache-2.0"
] | null | null | null |
guet/git/set_author.py
|
sapphon/guet
|
60872bfb149ad16a3c5309e283a6b886080a13dc
|
[
"Apache-2.0"
] | null | null | null |
import subprocess
def configure_git_author(name: str, email: str) -> None:
process = subprocess.Popen(['git', 'config', 'user.name', name])
process.wait()
process = subprocess.Popen(['git', 'config', 'user.email', email])
process.wait()
| 28.333333
| 70
| 0.658824
| 31
| 255
| 5.354839
| 0.483871
| 0.204819
| 0.26506
| 0.301205
| 0.421687
| 0.421687
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160784
| 255
| 8
| 71
| 31.875
| 0.775701
| 0
| 0
| 0.333333
| 0
| 0
| 0.145098
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d8ddb4b997642590f6014f199919c3014c679611
| 82
|
py
|
Python
|
vnpy_tts/api/__init__.py
|
noranhe/vnpy_tts
|
0926ebe7449fe56fcb3a8055e8758c4d7b15e459
|
[
"MIT"
] | 4
|
2021-07-24T08:02:23.000Z
|
2021-09-26T00:05:10.000Z
|
vnpy_tts/api/__init__.py
|
noranhe/vnpy_tts
|
0926ebe7449fe56fcb3a8055e8758c4d7b15e459
|
[
"MIT"
] | 1
|
2022-03-11T04:15:05.000Z
|
2022-03-11T09:54:23.000Z
|
vnpy_tts/api/__init__.py
|
noranhe/vnpy_tts
|
0926ebe7449fe56fcb3a8055e8758c4d7b15e459
|
[
"MIT"
] | 3
|
2021-07-22T03:28:05.000Z
|
2022-02-24T05:18:32.000Z
|
from .vnttsmd import MdApi
from .vnttstd import TdApi
from .tts_constant import *
| 20.5
| 27
| 0.804878
| 12
| 82
| 5.416667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 82
| 3
| 28
| 27.333333
| 0.928571
| 0
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| true
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| null | 0
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| 1
| 0
| 0
| 0
|
0
| 4
|
2b4bf9f244a4841e4cab1e3b5d2bd1857131bfec
| 12,992
|
py
|
Python
|
1. (200817).py
|
Adrian123K/tensor
|
f5cb9bbb8b98d3ca52356454b1c6adf2851ed507
|
[
"MIT"
] | null | null | null |
1. (200817).py
|
Adrian123K/tensor
|
f5cb9bbb8b98d3ca52356454b1c6adf2851ed507
|
[
"MIT"
] | null | null | null |
1. (200817).py
|
Adrian123K/tensor
|
f5cb9bbb8b98d3ca52356454b1c6adf2851ed507
|
[
"MIT"
] | null | null | null |
import tensorflow as tf
import numpy as np
import warnings
import os
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot = True)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
warnings.filterwarnings('ignore')
# old_v = tf.logging.get_verbosity()
# tf.logging.set_verbosity(tf.logging.ERROR)
# hello = tf.constant("Hello Tensorflow")
#
# sess = tf.Session() # 그래프를 실행할 세션을 구성
#
# print(sess.run(hello))
# print(str(sess.run(hello), encoding='utf-8'))
# x = tf.constant(35, name='x') # x라는 상수값을 만들고 숫자 35를 지정
# y = tf.Variable(x+5, name='y') # y라는 변수를 만들고 방정식 x+5를 정의
# model = tf.global_variables_initializer() # 변수를 생성했으면 초기화 해줘야하는데 필요한 명령어. 무조건 초기화를 해줘야 실행 가능
#
# sess = tf.Session() # 그래프를 실행할 세션을 구성
# sess.run(model) # 변수를 초기화 하겠다고 정의한 model을 실행
# print(sess.run(y))
# a = tf.constant(10)
# b = tf.constant(32)
# c = tf.add(a,b)
# print(c)
#
# sess = tf.Session()
# print(sess.run(c))
# sess.close()
# with tf.Session() as sess:
# print(sess.run(c))
# a = tf.add(1, 2)
# b = tf.multiply(a, 3)
# c = tf.add(b, 5)
# d = tf.multiply(c, 6)
# e = tf.multiply(d, 5)
# f = tf.div(e, 6)
# g = tf.add(f, d)
# h = tf.multiply(g, f)
#
# with tf.Session() as sess:
# print(sess.run(h))
# x = tf.Variable(0)
# init = tf.global_variables_initializer() # 변수를 생성했으면 초기화를 해줘야 함
#
# with tf.Session() as sess :
# sess.run(init)
# for i in range(5):
# x = x+1
# print(sess.run(x))
#112 구구단 2단까지
# with tf.Session() as sess:
# for i in range(1,10):
# print('2 x', i ,'=',sess.run(tf.multiply(2,i)))
# 113 구구한 9단까지
# with tf.Session() as sess:
# for i in range(2,10):
# for j in range(1,10):
# print(i,'x',j, '=',sess.run(tf.multiply(i,j)))
# x = tf.Variable(0)
# y = tf.Variable(0)
# z = tf.multiply(x, y)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# for i in range(2,10):
# for j in range(1,10):
# print(i, 'x', j, '=', sess.run(z, feed_dict=({x:i, y:j})))
###################################################### bias 구현
# print('numpy 구현')
# import numpy as np
# a = np.zeros((2,2))
# b = np.ones((2,2))
# print(a)
# print(b)
#
# print('\n tensorflow 구현')
# a = tf.zeros((2,2))
# b = tf.ones((2,2))
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(a))
# print(sess.run(b))
###################################################### 배열 최댓값 인덱스 찾기
# print('파이썬의 numpy 이용방법')
# import numpy as np
# a = np.array([0,0,1,0,0,0,0,0,0,0])
# print(np.argmax(a, axis=0))
#
# print('\n 텐서플로우 이용방법')
# a = np.array([0,0,1,0,0,0,0,0,0,0])
# b = tf.argmax(a, axis=0)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(b))
#114 배열에서 최댓값 갖는 인덱스 찾기
# import numpy as np
# a = np.array([[0,0,1,0,0,0,0,0,0,0],
# [0,0,0,0,1,0,0,0,0,0],
# [0,0,0,0,0,0,1,0,0,0],
# [1,0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,1,0]])
# import tensorflow as tf
# b = tf.argmax(a, axis=1) # 0은 열, 1은 행
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(b))
###################################################### 다차원 배열에서 행의 토탈값 출력
# import numpy as np
# a = np.array([[[1, 2, 3],
# [2, 1, 4],
# [5, 2, 1],
# [6, 3, 2]],
# [[5, 1, 3],
# [1, 3, 4],
# [4, 2, 6],
# [3, 9, 3]],
# [[4, 5, 6],
# [7, 4, 3],
# [2, 1, 5],
# [4, 3, 1]]])
#
# print('numpy 이용했을 때')
# print(np.sum(a, axis=0))
#
# print('\n 텐서 플로우 이용했을 때')
# a = np.array([[[1, 2, 3],
# [2, 1, 4],
# [5, 2, 1],
# [6, 3, 2]],
# [[5, 1, 3],
# [1, 3, 4],
# [4, 2, 6],
# [3, 9, 3]],
# [[4, 5, 6],
# [7, 4, 3],
# [2, 1, 5],
# [4, 3, 1]]])
#
# d = tf.reduce_sum(a, reduction_indices=[0])
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(d))
# 115 다차원 평균값 구하기
# a = np.array([[[1, 2, 3],
# [2, 1, 4],
# [5, 2, 1],
# [6, 3, 2]],
# [[5, 1, 3],
# [1, 3, 4],
# [4, 2, 6],
# [3, 9, 3]],
# [[4, 5, 6],
# [7, 4, 3],
# [2, 1, 5],
# [4, 3, 1]]])
#
# d = tf.reduce_mean(a, reduction_indices=[0])
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(d))
###################################################### 텐서플로우 내적
# print('numpy 형식')
# a = np.array([[2,2,2],[2,2,2]])
# b = np.array([[3,3],[3,3],[3,3]])
# res = np.dot(a,b)
# print(res)
#
# print('\n tensorflow 형식')
# x = tf.placeholder("float",[2,3]) # (2,3) 행렬의 실수형 데이터를 담을 변수
# y = tf.placeholder("float",[3,2])
# rs = tf.matmul(x, y)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(rs, feed_dict={x:[[2,2,2],[2,2,2]], y:[[3,3],[3,3],[3,3]]}))
# 116
# a = np.array([[6,7],[3,5],[2,9]])
# b = np.array([[3,8,1],[4,5,2]])
#
# import tensorflow as tf
# x = tf.placeholder("float",[3,2]) # (2,3) 행렬의 실수형 데이터를 담을 변수
# y = tf.placeholder("float",[2,3])
# rs = tf.matmul(x, y)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(rs, feed_dict={x:[[6,7],[3,5],[2,9]], y:[[3,8,1],[4,5,2]]}))
###################################################### 텐서플로우에서 mnist 불러오기
# mnist = input_data.read_data_sets("MNIST_data/", one_hot = True)
#
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# # print(batch_xs.shape)
# # print(batch_ys.shape)
#
# # 117
# batch_xs, batch_ys = mnist.test.next_batch(100)
#
# print(batch_xs.shape)
# print(batch_ys.shape)
#
# ###################################################### 배치단위 데이터 불러오기
# x = tf.placeholder("float",[None,3]) # None으로 작성 -> 행의 개수 무관하게 작성 가능
#
# sess = tf.Session()
# init = tf.global_variables_initializer()
#
# sess.run(init)
# print(sess.run(x, feed_dict={x:[[2,2,2],[2,2,2],[2,2,2]]}))
#
# sess.close()
# 118
# mnist = input_data.read_data_sets("MNIST_data/", one_hot = True)
#
# x = tf.placeholder('float',[None,784])
#
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(x, feed_dict={x:batch_xs}).shape)
###################################################### 텐서 플로우로 신경망 만들 때 가중치 생성 코드
# W1 = tf.Variable(tf.random_uniform([784,50],-1,1)) # [-1,1] 사이의 숫자로 (784,50) 행렬의 변수를 W1로 생성
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(W1).shape)
# print(sess.run(W1))
# 119
# mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
#
# x = tf.placeholder('float', [None, 784])
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# W1 = tf.Variable(tf.random_uniform([784, 50], -1, 1))
# init = tf.global_variables_initializer()
#
# rs = tf.matmul(x, W1)
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(rs, feed_dict={x: batch_xs}))
# print(sess.run(rs, feed_dict={x: batch_xs}).shape)
# 121
# mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
#
# x = tf.placeholder('float', [None, 784])
#
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# W1 = tf.Variable(tf.random_uniform([784, 50], -1, 1))
# b = tf.Variable(tf.ones([1, 50]))
# rs = tf.matmul(x, W1) + b
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(rs, feed_dict={x: batch_xs}))
# 122
# mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
#
# x = tf.placeholder('float', [None, 784])
#
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# W1 = tf.Variable(tf.random_uniform([784, 50], -1, 1))
# b = tf.Variable(tf.ones([1, 50]))
# rs = tf.matmul(x, W1) + b
#
# y_hat = tf.sigmoid(rs)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(y_hat, feed_dict={x: batch_xs}))
# 123
# mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
#
# x = tf.placeholder('float', [None, 784])
#
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# W1 = tf.Variable(tf.random_uniform([784, 50], -1, 1))
# b = tf.Variable(tf.ones([1, 50]))
# rs = tf.matmul(x, W1) + b
#
# y_hat = tf.nn.relu(rs)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(y_hat, feed_dict={x: batch_xs}))
# 124
# mnist = input_data.read_data_sets("MNIST_data/", one_hot = True)
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# # 은닉1층
# x = tf.placeholder('float',[None,784])
# W1 = tf.Variable(tf.random_uniform([784,50],-1,1))
# b1 = tf.Variable(tf.ones([1,50]))
# y = tf.matmul(x, W1) + b1
# y_hat = tf.nn.relu(y)
#
# # 출력층
# W2 = tf.Variable(tf.random_uniform([50,10],-1,1))
# b2 = tf.Variable(tf.ones([1,10]))
# z = tf.matmul(y_hat,W2) + b2
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(z, feed_dict={x:batch_xs}))
# 125
# mnist = input_data.read_data_sets("MNIST_data/", one_hot = True)
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# # 은닉1층
# x = tf.placeholder('float',[None,784])
# W1 = tf.Variable(tf.random_uniform([784,50],-1,1))
# b1 = tf.Variable(tf.ones([1,50]))
# y = tf.matmul(x, W1) + b1
# y_hat = tf.nn.relu(y)
#
# # 출력층
# W2 = tf.Variable(tf.random_uniform([50,10],-1,1))
# b2 = tf.Variable(tf.ones([1,10]))
# z = tf.matmul(y_hat,W2) + b2
#
# z_hat = tf.nn.softmax(z)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(z_hat, feed_dict={x:batch_xs}))
# 126
# mnist = input_data.read_data_sets("MNIST_data/", one_hot = True)
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# # 은닉1층
# x = tf.placeholder('float',[None,784])
# W1 = tf.Variable(tf.random_uniform([784,50],-1,1))
# b1 = tf.Variable(tf.ones([1,50]))
# y = tf.matmul(x, W1) + b1
# y_hat = tf.nn.relu(y)
#
# # 출력층
# W2 = tf.Variable(tf.random_uniform([50,10],-1,1))
# b2 = tf.Variable(tf.ones([1,10]))
# z = tf.matmul(y_hat,W2) + b2
#
# z_hat = tf.nn.softmax(z)
#
# init = tf.global_variables_initializer()
#
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(z_hat, feed_dict={x:batch_xs}))
# 129
# # 데이터 불러오기
# batch_xs, batch_ys = mnist.train.next_batch(100)
#
# # 은닉1층
# x = tf.placeholder('float',[None,784])
# W1 = tf.Variable(tf.random_uniform([784,50],-1,1))
# b1 = tf.Variable(tf.ones([1,50]))
# y = tf.matmul(x, W1) + b1
# y_hat = tf.nn.relu(y)
#
# # 출력층
# W2 = tf.Variable(tf.random_uniform([50,10],-1,1))
# b2 = tf.Variable(tf.ones([1,10]))
# z = tf.matmul(y_hat,W2) + b2
# z_hat = tf.nn.softmax(z)
#
# y_predict = tf.argmax(z_hat, axis=1)
#
# # 정확도 확인
# y_onehot = tf.placeholder('float',[None,10]) # 정답 데이터를 담을 배열
# y_label = tf.argmax(y_onehot, axis=1)
#
# correction_prediction = tf.equal(y_predict, y_label)
#
# accuracy = tf.reduce_mean(tf.cast(correction_prediction,'float'))
#
# # 변수 초기화
# init = tf.global_variables_initializer()
#
# # 그래프 실행
# with tf.Session() as sess:
# sess.run(init)
# print(sess.run(accuracy, feed_dict={x:batch_xs, y_onehot:batch_ys}))
######################################################
# 은닉1층
x = tf.placeholder('float',[None,784])
W1 = tf.Variable(tf.random_uniform([784,50],-1,1))
b1 = tf.Variable(tf.ones([1,50]))
y = tf.matmul(x, W1) + b1
y_hat = tf.nn.relu(y)
# 출력층
W2 = tf.Variable(tf.random_uniform([50,10],-1,1))
b2 = tf.Variable(tf.ones([1,10]))
z = tf.matmul(y_hat,W2) + b2
z_hat = tf.nn.softmax(z)
y_predict = tf.argmax(z_hat, axis=1)
# 정확도 확인
y_onehot = tf.placeholder('float',[None,10]) # 정답 데이터를 담을 배열
y_label = tf.argmax(y_onehot, axis=1)
correction_prediction = tf.equal(y_predict, y_label)
accuracy = tf.reduce_mean(tf.cast(correction_prediction,'float'))
# 오차 확인
loss = -tf.reduce_sum(y_onehot * tf.log(z_hat+0.0000001), axis=1)
rs = tf.reduce_mean(loss)
# 학습
optimizer = tf.train.AdamOptimizer(learning_rate=0.01)
train = optimizer.minimize(loss)
# 변수 초기화
init = tf.global_variables_initializer()
# 그래프 실행
sess = tf.Session()
sess.run(init)
for i in range(1,601*20):
batch_xs, batch_ys = mnist.train.next_batch(100)
batch_x_test, batch_y_test = mnist.test.next_batch(100)
sess.run(train, feed_dict={x:batch_xs, y_onehot:batch_ys})
if not i % 600:
print({i//600},"에폭 훈련데이터 정확도 : ",sess.run(accuracy, feed_dict={x:batch_xs, y_onehot:batch_ys}),"\t","테스트 데이터 정확도:", sess.run(accuracy, feed_dict={x:batch_x_test, y_onehot:batch_y_test}))
| 26.246465
| 194
| 0.567657
| 2,168
| 12,992
| 3.285978
| 0.117159
| 0.054043
| 0.018529
| 0.021336
| 0.784812
| 0.748035
| 0.723751
| 0.709994
| 0.691746
| 0.660584
| 0
| 0.062613
| 0.193581
| 12,992
| 495
| 194
| 26.246465
| 0.617352
| 0.782482
| 0
| 0
| 0
| 0
| 0.04203
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.142857
| 0.028571
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 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
| 4
|
2b52cbb975cd80c525a9cb2bc12f2d16c7593101
| 386
|
py
|
Python
|
app.py
|
jience/flask_gunicorn_nginx
|
0e0389344091d7eae2cd24c52bb8fbc2f397cce5
|
[
"MIT"
] | 1
|
2020-07-14T07:57:37.000Z
|
2020-07-14T07:57:37.000Z
|
app.py
|
jience/flask_gunicorn_nginx
|
0e0389344091d7eae2cd24c52bb8fbc2f397cce5
|
[
"MIT"
] | null | null | null |
app.py
|
jience/flask_gunicorn_nginx
|
0e0389344091d7eae2cd24c52bb8fbc2f397cce5
|
[
"MIT"
] | null | null | null |
from flask import Flask
from flask import render_template
app = Flask(__name__)
@app.errorhandler(404)
def page_not_found(error):
return render_template('404.html'), 404
@app.errorhandler(500)
def internal_server_error(error):
return render_template('500.html'), 500
@app.route('/')
def hello_world():
return 'Hello Flask!'
if __name__ == '__main__':
app.run()
| 16.083333
| 43
| 0.717617
| 53
| 386
| 4.849057
| 0.471698
| 0.163424
| 0.116732
| 0.194553
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055046
| 0.15285
| 386
| 23
| 44
| 16.782609
| 0.730887
| 0
| 0
| 0
| 0
| 0
| 0.095855
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.142857
| 0.214286
| 0.571429
| 0
| 0
| 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
| 4
|
2b6c4bcc44a7b52a522a61da85ecd144d4871a83
| 228
|
py
|
Python
|
UnityEngine/MeshTopology/__init__.py
|
Grim-es/udon-pie-auto-completion
|
c2cd86554ed615cdbbb01e19fa40665eafdfaedc
|
[
"MIT"
] | null | null | null |
UnityEngine/MeshTopology/__init__.py
|
Grim-es/udon-pie-auto-completion
|
c2cd86554ed615cdbbb01e19fa40665eafdfaedc
|
[
"MIT"
] | null | null | null |
UnityEngine/MeshTopology/__init__.py
|
Grim-es/udon-pie-auto-completion
|
c2cd86554ed615cdbbb01e19fa40665eafdfaedc
|
[
"MIT"
] | null | null | null |
from UdonPie import UnityEngine
from UdonPie.Undefined import *
class MeshTopology:
def __new__(cls, arg1=None):
'''
:returns: MeshTopology
:rtype: UnityEngine.MeshTopology
'''
pass
| 19
| 40
| 0.627193
| 21
| 228
| 6.619048
| 0.714286
| 0.158273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006173
| 0.289474
| 228
| 11
| 41
| 20.727273
| 0.851852
| 0.241228
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.2
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
9913d930be7ff26702b454434c46327b957cc1ad
| 34
|
py
|
Python
|
2. entrada/exemplo_2.py
|
lusmoura/Python-workshop
|
41a0f82e964a0a77a95d558806e7200dc3fab052
|
[
"MIT"
] | 1
|
2021-11-10T18:33:48.000Z
|
2021-11-10T18:33:48.000Z
|
2. entrada/exemplo_2.py
|
lusmoura/Python-workshop
|
41a0f82e964a0a77a95d558806e7200dc3fab052
|
[
"MIT"
] | null | null | null |
2. entrada/exemplo_2.py
|
lusmoura/Python-workshop
|
41a0f82e964a0a77a95d558806e7200dc3fab052
|
[
"MIT"
] | null | null | null |
idade = int(input())
print(idade)
| 11.333333
| 20
| 0.676471
| 5
| 34
| 4.6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 34
| 2
| 21
| 17
| 0.766667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
991dbd6ec14affdbae0dbcec468c161cdb240b41
| 556
|
py
|
Python
|
tests/demo_app/views.py
|
zlqm/django_improved_view
|
642e5fdc5ebfab5d73fc2cdc67c4a916b239b479
|
[
"BSD-3-Clause"
] | 1
|
2021-02-10T08:26:30.000Z
|
2021-02-10T08:26:30.000Z
|
tests/demo_app/views.py
|
zlqm/simple_django_api
|
642e5fdc5ebfab5d73fc2cdc67c4a916b239b479
|
[
"BSD-3-Clause"
] | null | null | null |
tests/demo_app/views.py
|
zlqm/simple_django_api
|
642e5fdc5ebfab5d73fc2cdc67c4a916b239b479
|
[
"BSD-3-Clause"
] | null | null | null |
from simple_django_api.views import APIView
from .permissions import (BasicAuthRequired, login_required, owner_required)
class BasicAuthView(APIView):
method_perms = {'GET': BasicAuthRequired}
def get(self, request):
return {'msg': 'hello world'}
class AuthView(APIView):
method_perms = {'get': login_required}
def get(self, request):
return {'username': request.user.username}
class BlogDetailView(APIView):
method_perms = {'get': owner_required}
def get(self, request, pk=None):
return {'pk': pk}
| 23.166667
| 76
| 0.692446
| 64
| 556
| 5.875
| 0.46875
| 0.103723
| 0.143617
| 0.167553
| 0.210106
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.188849
| 556
| 23
| 77
| 24.173913
| 0.833703
| 0
| 0
| 0.142857
| 0
| 0
| 0.059353
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.142857
| 0.214286
| 1
| 0
| 0
| 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
| 4
|
993102380875e8723255b07174de4628447aa1d2
| 100
|
py
|
Python
|
devhttp/__init__.py
|
shearern/devhttp
|
75a7242e2c54f36b4f0d1f0d609bc9876dfb2fa0
|
[
"MIT"
] | null | null | null |
devhttp/__init__.py
|
shearern/devhttp
|
75a7242e2c54f36b4f0d1f0d609bc9876dfb2fa0
|
[
"MIT"
] | null | null | null |
devhttp/__init__.py
|
shearern/devhttp
|
75a7242e2c54f36b4f0d1f0d609bc9876dfb2fa0
|
[
"MIT"
] | null | null | null |
from .DevelopmentHttpServer import DevelopmentHttpServer
from .template_helpers import render_jinja
| 33.333333
| 56
| 0.9
| 10
| 100
| 8.8
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 100
| 3
| 57
| 33.333333
| 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
| 0
| 0
|
0
| 4
|
993e74e2001d7d4da39a3780bc9d556b80b12bde
| 864
|
py
|
Python
|
api/serializers.py
|
mpilkou/django_code
|
08e42ef3cdbbcdd9050e591fd97b0d8be060df6b
|
[
"Apache-2.0"
] | null | null | null |
api/serializers.py
|
mpilkou/django_code
|
08e42ef3cdbbcdd9050e591fd97b0d8be060df6b
|
[
"Apache-2.0"
] | null | null | null |
api/serializers.py
|
mpilkou/django_code
|
08e42ef3cdbbcdd9050e591fd97b0d8be060df6b
|
[
"Apache-2.0"
] | null | null | null |
from rest_framework import serializers
class SudokuPuzzleField(serializers.ListField):
child = serializers.ListField(
child=serializers.IntegerField(min_value = 0, max_value = 9),
min_length = 9,
max_length = 9,
allow_empty = False
)
min_length = 9
max_length = 9
allow_empty = False
class SudokuPuzzleSerializer(serializers.Serializer):
# example = [
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0],
# ]
sudoku_puzzle = SudokuPuzzleField()
class SudokuAnsverSerializer(serializers.Serializer):
details = serializers.StringRelatedField()
| 27.870968
| 73
| 0.550926
| 135
| 864
| 3.451852
| 0.2
| 0.343348
| 0.508584
| 0.669528
| 0.324034
| 0.324034
| 0.324034
| 0.324034
| 0.324034
| 0.17382
| 0
| 0.138535
| 0.273148
| 864
| 31
| 74
| 27.870968
| 0.603503
| 0.275463
| 0
| 0.133333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.066667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
9968ec2cf628656abc0a379b8ecd2235b47cfa75
| 181
|
py
|
Python
|
Code/utils/initialize.py
|
Timothy102/Brain-FMRI
|
25ae74d4537c698930db455ccf494454f7f3d542
|
[
"MIT"
] | 3
|
2021-07-12T00:13:18.000Z
|
2021-11-06T09:20:10.000Z
|
Code/utils/initialize.py
|
Timothy102/Brain-FMRI
|
25ae74d4537c698930db455ccf494454f7f3d542
|
[
"MIT"
] | null | null | null |
Code/utils/initialize.py
|
Timothy102/Brain-FMRI
|
25ae74d4537c698930db455ccf494454f7f3d542
|
[
"MIT"
] | 2
|
2021-07-12T00:13:24.000Z
|
2022-01-27T00:53:13.000Z
|
import os
import shutil
import re
def initfolder(path):
if not os.path.exists(path):
os.makedirs(path)
else:
shutil.rmtree(path)
os.makedirs(path)
| 16.454545
| 32
| 0.629834
| 25
| 181
| 4.56
| 0.52
| 0.105263
| 0.245614
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.270718
| 181
| 10
| 33
| 18.1
| 0.863636
| 0
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.333333
| 0
| 0.444444
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
998c7b0fb41e1a86b3928b2726584593278bf0d8
| 196
|
py
|
Python
|
apps/manufacturers/models.py
|
theSoloBrewer/Project_Management
|
20db0abc400568da593bdea075b414dfde89f564
|
[
"Apache-2.0"
] | null | null | null |
apps/manufacturers/models.py
|
theSoloBrewer/Project_Management
|
20db0abc400568da593bdea075b414dfde89f564
|
[
"Apache-2.0"
] | null | null | null |
apps/manufacturers/models.py
|
theSoloBrewer/Project_Management
|
20db0abc400568da593bdea075b414dfde89f564
|
[
"Apache-2.0"
] | null | null | null |
from django.db import models
# Create your models here.
class Manufacture(models.Model):
name = models.CharField(max_length=200)
def __str__(self):
return '%s' % (self.name)
| 21.777778
| 43
| 0.673469
| 26
| 196
| 4.884615
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019481
| 0.214286
| 196
| 9
| 44
| 21.777778
| 0.805195
| 0.122449
| 0
| 0
| 0
| 0
| 0.011696
| 0
| 0
| 0
| 0
| 0
| 0
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| 0.2
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| 0.2
| 1
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| 0
| null | 0
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| 0
| 1
| 1
| 0
|
0
| 4
|
99907d60338b093ac182a6bd4f62b0abff59c6b1
| 3,889
|
py
|
Python
|
src/cms/cms/settings.py
|
toxicmender/PyDjaMS
|
c632c021bb6c1f4e7ab6d7869602731bdb2e0a7a
|
[
"MIT"
] | null | null | null |
src/cms/cms/settings.py
|
toxicmender/PyDjaMS
|
c632c021bb6c1f4e7ab6d7869602731bdb2e0a7a
|
[
"MIT"
] | null | null | null |
src/cms/cms/settings.py
|
toxicmender/PyDjaMS
|
c632c021bb6c1f4e7ab6d7869602731bdb2e0a7a
|
[
"MIT"
] | null | null | null |
"""
Django settings for cms project.
Generated by 'django-admin startproject' using Django 3.2.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
# For type checking
import typing
from pathlib import Path
from os import path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR: Path = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY: str = 'django-insecure-majf2y#m*k(x#&zqwkblb^6^2(zi4eisun14h=nt$&f841f8r='
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG: bool = True
ALLOWED_HOSTS: typing.List[str] = []
# Application definition
INSTALLED_APPS: typing.List[str] = [
'polls.apps.PollsConfig',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
MIDDLEWARE: typing.List[str] = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
CACHES: typing.Dict[str, typing.Dict[str, str]] = {
'default': {
'BACKEND': 'django.core.cache.backends.locmem.LocMemCache',
'LOCATION': 'unique-cache-name',
},
}
ROOT_URLCONF: str = 'cms.urls'
TEMPLATES: typing.List[typing.Dict[str, typing.Any]] = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION: str = 'cms.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.2/ref/settings/#databases
DATABASES: typing.Dict[str, typing.Dict[str, typing.Union[Path, str]]] = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': BASE_DIR / 'db.sqlite3',
}
}
# Password validation
# https://docs.djangoproject.com/en/3.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS: typing.List[typing.Dict[str, str]] = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/3.2/topics/i18n/
LANGUAGE_CODE: str = 'en-in'
TIME_ZONE: str = 'Asia/Kolkata'
USE_I18N: bool = True
USE_L10N: bool = True
USE_TZ: bool = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.2/howto/static-files/
STATIC_URL: str = '/static/'
# Default primary key field type
# https://docs.djangoproject.com/en/3.2/ref/settings/#default-auto-field
DEFAULT_AUTO_FIELD: str = 'django.db.models.BigAutoField'
# Media Files uploaded to the CMS for serving
MEDIA_ROOT: str = path.join(BASE_DIR, 'media')
MEDIA_URL: str = '/media/'
| 27.58156
| 91
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| 3,889
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| 3,889
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| 92
| 27.778571
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| 1
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| 0
| 0
|
0
| 4
|
999e6ab2e7e83a3554fb77a7c99589260739dc64
| 189
|
py
|
Python
|
tests/core/test_setproctitle.py
|
Sweety-Network/sweety-blockchain
|
dd0d272656a41d13a012b1600d74aa93d89fc45b
|
[
"Apache-2.0"
] | 1
|
2021-10-16T02:27:38.000Z
|
2021-10-16T02:27:38.000Z
|
tests/core/test_setproctitle.py
|
Sweety-Network/sweety-blockchain
|
dd0d272656a41d13a012b1600d74aa93d89fc45b
|
[
"Apache-2.0"
] | null | null | null |
tests/core/test_setproctitle.py
|
Sweety-Network/sweety-blockchain
|
dd0d272656a41d13a012b1600d74aa93d89fc45b
|
[
"Apache-2.0"
] | null | null | null |
import unittest
from sweety.util.setproctitle import setproctitle
class TestSetProcTitle(unittest.TestCase):
def test_does_not_crash(self):
setproctitle("sweety test title")
| 21
| 49
| 0.783069
| 22
| 189
| 6.590909
| 0.727273
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| 0.148148
| 189
| 8
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| 23.625
| 0.900621
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| 0
| 1
| 0
|
0
| 4
|
99a7cf42a50781d2f1fd9d50bd2f55037af0205f
| 47
|
py
|
Python
|
src/dpln/__init__.py
|
shizuku/dpln
|
d6f62e97073313a92ba492bbf1b9cd57842a8369
|
[
"MIT"
] | 3
|
2021-10-16T11:43:16.000Z
|
2021-10-31T13:32:04.000Z
|
src/dpln/__init__.py
|
shizuku/dpln
|
d6f62e97073313a92ba492bbf1b9cd57842a8369
|
[
"MIT"
] | null | null | null |
src/dpln/__init__.py
|
shizuku/dpln
|
d6f62e97073313a92ba492bbf1b9cd57842a8369
|
[
"MIT"
] | 1
|
2021-10-14T04:06:40.000Z
|
2021-10-14T04:06:40.000Z
|
from .autograd import *
__version__ = "0.1.2"
| 11.75
| 23
| 0.680851
| 7
| 47
| 4
| 1
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| 0.076923
| 0.170213
| 47
| 3
| 24
| 15.666667
| 0.641026
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| 0
| 0
|
0
| 4
|
5100209bdfe3f476fbf85de2cda09d139e9f55ae
| 8,324
|
py
|
Python
|
scripts/model_meta_nodeps.py
|
leonardopsantos/tf_to_trt_image_classification
|
ec8689eb5633c2145427b2752172b121571e7d38
|
[
"BSD-3-Clause"
] | 309
|
2018-11-05T07:20:50.000Z
|
2022-03-28T11:20:52.000Z
|
scripts/model_meta_nodeps.py
|
hz658832/tf_to_trt_image_classification
|
10822955cd9d8747f35faf26338de8742dc914dc
|
[
"BSD-3-Clause"
] | 21
|
2018-11-10T11:29:58.000Z
|
2021-07-23T13:00:12.000Z
|
scripts/model_meta_nodeps.py
|
hz658832/tf_to_trt_image_classification
|
10822955cd9d8747f35faf26338de8742dc914dc
|
[
"BSD-3-Clause"
] | 103
|
2018-11-05T09:10:13.000Z
|
2022-01-27T04:28:55.000Z
|
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Full license terms provided in LICENSE.md file.
CHECKPOINT_DIR = 'data/checkpoints/'
FROZEN_GRAPHS_DIR = 'data/frozen_graphs/'
UFF_DIR = 'data/uff/'
NETS = {
'vgg_16': {
'num_classes': 1000,
'input_name': 'input',
'output_names': ['vgg_16/fc8/BiasAdd'],
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'preprocess_fn': 'preprocess_vgg',
'checkpoint_filename': CHECKPOINT_DIR + 'vgg_16.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'vgg_16.pb',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'vgg_16.uff'
},
'vgg_19': {
'num_classes': 1000,
'input_name': 'input',
'output_names': ['vgg_19/fc8/BiasAdd'],
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'preprocess_fn': 'preprocess_vgg',
'checkpoint_filename': CHECKPOINT_DIR + 'vgg_19.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'vgg_19.pb',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'vgg_19.uff'
},
'inception_v1': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['InceptionV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v1.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v1.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_v1.uff'
},
'inception_v2': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['InceptionV2/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v2.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v2.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "bad results",
'uff_filename': UFF_DIR + 'inception_v2.uff'
},
'inception_v3': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['InceptionV3/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v3.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v3.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_v3.uff'
},
'inception_v4': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['InceptionV4/Logits/Logits/BiasAdd'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_v4.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_v4.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_v4.uff'
},
'inception_resnet_v2': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['InceptionResnetV2/Logits/Logits/BiasAdd'],
'checkpoint_filename': CHECKPOINT_DIR + 'inception_resnet_v2_2016_08_30.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'inception_resnet_v2.pb',
'preprocess_fn': 'preprocess_inception',
'trt_convert_status': "works",
'uff_filename': UFF_DIR + 'inception_resnet_v2.uff'
},
'resnet_v1_50': {
'num_classes': 1000,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['resnet_v1_50/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_50.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_50.pb',
'preprocess_fn': 'preprocess_vgg',
'uff_filename': UFF_DIR + 'resnet_v1_50.uff'
},
'resnet_v1_101': {
'num_classes': 1000,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['resnet_v1_101/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_101.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_101.pb',
'preprocess_fn': 'preprocess_vgg',
'uff_filename': UFF_DIR + 'resnet_v1_101.uff'
},
'resnet_v1_152': {
'num_classes': 1000,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['resnet_v1_152/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v1_152.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v1_152.pb',
'preprocess_fn': 'preprocess_vgg',
'uff_filename': UFF_DIR + 'resnet_v1_152.uff'
},
'resnet_v2_50': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['resnet_v2_50/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_50.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_50.pb',
'preprocess_fn': 'preprocess_inception',
'uff_filename': UFF_DIR + 'resnet_v2_50.uff'
},
'resnet_v2_101': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['resnet_v2_101/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_101.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_101.pb',
'preprocess_fn': 'preprocess_inception',
'uff_filename': UFF_DIR + 'resnet_v2_101.uff'
},
'resnet_v2_152': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 299,
'input_height': 299,
'input_channels': 3,
'output_names': ['resnet_v2_152/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR + 'resnet_v2_152.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'resnet_v2_152.pb',
'preprocess_fn': 'preprocess_inception',
'uff_filename': UFF_DIR + 'resnet_v2_152.uff'
},
#'resnet_v2_200': {
#},
'mobilenet_v1_1p0_224': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 224,
'input_height': 224,
'input_channels': 3,
'output_names': ['MobilenetV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR +
'mobilenet_v1_1.0_224.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_1p0_224.pb',
'uff_filename': UFF_DIR + 'mobilenet_v1_1p0_224.uff',
'preprocess_fn': 'preprocess_inception',
},
'mobilenet_v1_0p5_160': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 160,
'input_height': 160,
'input_channels': 3,
'output_names': ['MobilenetV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR +
'mobilenet_v1_0.50_160.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_0p5_160.pb',
'uff_filename': UFF_DIR + 'mobilenet_v1_0p5_160.uff',
'preprocess_fn': 'preprocess_inception',
},
'mobilenet_v1_0p25_128': {
'num_classes': 1001,
'input_name': 'input',
'input_width': 128,
'input_height': 128,
'input_channels': 3,
'output_names': ['MobilenetV1/Logits/SpatialSqueeze'],
'checkpoint_filename': CHECKPOINT_DIR +
'mobilenet_v1_0.25_128.ckpt',
'frozen_graph_filename': FROZEN_GRAPHS_DIR + 'mobilenet_v1_0p25_128.pb',
'uff_filename': UFF_DIR + 'mobilenet_v1_0p25_128.uff',
'preprocess_fn': 'preprocess_inception',
},
}
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| 0.877334
| 0.853141
| 0.853141
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| 0.597411
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| 0
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| 233
| 87
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| 0
| 0
|
0
| 4
|
5107321886fc24907e43e891c635d9b491b13a95
| 192
|
py
|
Python
|
sensoglove/wrist.py
|
TheRizzen/senso-glove
|
eb15d3a08350877174cd62b75beacec8f72e12af
|
[
"MIT"
] | null | null | null |
sensoglove/wrist.py
|
TheRizzen/senso-glove
|
eb15d3a08350877174cd62b75beacec8f72e12af
|
[
"MIT"
] | 2
|
2018-07-02T15:54:07.000Z
|
2018-08-15T19:42:21.000Z
|
sensoglove/wrist.py
|
TheRizzen/senso-glove
|
eb15d3a08350877174cd62b75beacec8f72e12af
|
[
"MIT"
] | null | null | null |
from .rotation import Rotation
class Wrist:
def __init__(self, data):
wrist = data['data']['wrist']
self.data = wrist
self.rotation = Rotation(*wrist['quat'][1:])
| 24
| 52
| 0.604167
| 23
| 192
| 4.869565
| 0.478261
| 0.241071
| 0.232143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006897
| 0.244792
| 192
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0
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5131eb0e4e7175dfc890e06672dac0d73d4ae9da
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py
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Python
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master_overview/apps.py
|
AthenaExplorer/xm_s_explorer
|
b8ccd57e7bd493f46c493a967ec22e42171a6091
|
[
"MIT"
] | null | null | null |
master_overview/apps.py
|
AthenaExplorer/xm_s_explorer
|
b8ccd57e7bd493f46c493a967ec22e42171a6091
|
[
"MIT"
] | null | null | null |
master_overview/apps.py
|
AthenaExplorer/xm_s_explorer
|
b8ccd57e7bd493f46c493a967ec22e42171a6091
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class MasterOverviewConfig(AppConfig):
name = 'master_overview'
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0
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5a9bebc3dc3d81fcb46b6d0a387137c51e4eb2f5
| 304
|
py
|
Python
|
profiles_api/admin.py
|
yoni2k/django-rest-api
|
bfd26c50a2c1289bc8b1724584a08159e55753b3
|
[
"MIT"
] | null | null | null |
profiles_api/admin.py
|
yoni2k/django-rest-api
|
bfd26c50a2c1289bc8b1724584a08159e55753b3
|
[
"MIT"
] | 4
|
2021-03-18T22:52:07.000Z
|
2022-02-10T11:15:19.000Z
|
profiles_api/admin.py
|
yoni2k/django-rest-api
|
bfd26c50a2c1289bc8b1724584a08159e55753b3
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from profiles_api import models
# Register our UserProfile with admin site and make it available through admin interface
admin.site.register(models.UserProfile)
# to be able to administer Profile Feed Items in the Admin site
admin.site.register(models.ProfileFeedItem)
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0
| 4
|
5aebbf46a83f1a371fd32edb971fcfb43047ae07
| 184,224
|
py
|
Python
|
profiling/mix_big.py
|
StarryInternet/black
|
f90f50a7436ca13517933c290ef007e7cb2e7258
|
[
"MIT"
] | 16,110
|
2019-07-22T21:54:54.000Z
|
2022-03-31T22:52:39.000Z
|
profiling/mix_big.py
|
StarryInternet/black
|
f90f50a7436ca13517933c290ef007e7cb2e7258
|
[
"MIT"
] | 1,981
|
2019-07-22T21:26:16.000Z
|
2022-03-31T23:14:35.000Z
|
profiling/mix_big.py
|
StarryInternet/black
|
f90f50a7436ca13517933c290ef007e7cb2e7258
|
[
"MIT"
] | 1,762
|
2019-07-22T21:23:00.000Z
|
2022-03-31T06:10:22.000Z
|
config = some.Structure(
globalMap = {
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},
)
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0
| 4
|
850c69c5c8f3751fffd4312845f0c532632079e5
| 141
|
py
|
Python
|
backend/config/settings/ci.py
|
yegorLitvinov/costcontrol
|
f3c9316ea0c9e7f2509087dabdbe7f1cf5fe2d80
|
[
"MIT"
] | null | null | null |
backend/config/settings/ci.py
|
yegorLitvinov/costcontrol
|
f3c9316ea0c9e7f2509087dabdbe7f1cf5fe2d80
|
[
"MIT"
] | 1
|
2020-02-11T21:46:59.000Z
|
2020-02-11T21:46:59.000Z
|
backend/config/settings/ci.py
|
yegorLitvinov/costcontrol
|
f3c9316ea0c9e7f2509087dabdbe7f1cf5fe2d80
|
[
"MIT"
] | null | null | null |
from .dev import * # noqa
DATABASES["default"]["HOST"] = "db" # noqa
PASSWORD_HASHERS = ["django.contrib.auth.hashers.MD5PasswordHasher"]
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0
| 4
|
8511d9b0e5ee734afb8d9fd975b8ac1bc0f8428c
| 158
|
py
|
Python
|
problem0244.py
|
kmarcini/Project-Euler-Python
|
d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3
|
[
"BSD-3-Clause"
] | null | null | null |
problem0244.py
|
kmarcini/Project-Euler-Python
|
d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3
|
[
"BSD-3-Clause"
] | null | null | null |
problem0244.py
|
kmarcini/Project-Euler-Python
|
d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3
|
[
"BSD-3-Clause"
] | null | null | null |
###########################
#
# #244 Sliders - Project Euler
# https://projecteuler.net/problem=244
#
# Code by Kevin Marciniak
#
###########################
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| 38
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0
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|
51861aae27393755ad0c2d5ef4b3c1b3b6f6bb1b
| 689
|
py
|
Python
|
api/tacticalrmm/clients/permissions.py
|
rfost52/tacticalrmm
|
44dd59fa3f530e7cf6730ef44606fa869c8cd222
|
[
"MIT"
] | 903
|
2019-10-22T22:56:42.000Z
|
2022-03-18T14:15:54.000Z
|
api/tacticalrmm/clients/permissions.py
|
rfost52/tacticalrmm
|
44dd59fa3f530e7cf6730ef44606fa869c8cd222
|
[
"MIT"
] | 720
|
2019-12-07T08:11:26.000Z
|
2022-03-17T21:47:04.000Z
|
api/tacticalrmm/clients/permissions.py
|
rfost52/tacticalrmm
|
44dd59fa3f530e7cf6730ef44606fa869c8cd222
|
[
"MIT"
] | 231
|
2020-02-11T14:14:21.000Z
|
2022-03-16T21:23:10.000Z
|
from rest_framework import permissions
from tacticalrmm.permissions import _has_perm
class ManageClientsPerms(permissions.BasePermission):
def has_permission(self, r, view):
if r.method == "GET":
return True
return _has_perm(r, "can_manage_clients")
class ManageSitesPerms(permissions.BasePermission):
def has_permission(self, r, view):
if r.method == "GET":
return True
return _has_perm(r, "can_manage_sites")
class ManageDeploymentPerms(permissions.BasePermission):
def has_permission(self, r, view):
if r.method == "GET":
return True
return _has_perm(r, "can_manage_deployments")
| 24.607143
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0
| 4
|
a40680eed0bbac2f7638ae87772a6eefbef84597
| 210
|
py
|
Python
|
src/charts/models.py
|
vijaykumarmcp/StockChartVisual
|
569010e5180640039b201460095abd341a922ec2
|
[
"MIT"
] | null | null | null |
src/charts/models.py
|
vijaykumarmcp/StockChartVisual
|
569010e5180640039b201460095abd341a922ec2
|
[
"MIT"
] | null | null | null |
src/charts/models.py
|
vijaykumarmcp/StockChartVisual
|
569010e5180640039b201460095abd341a922ec2
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Company(models.Model):
name=models.CharField(max_length=120)
article=models.IntegerField()
def __str__(self):
return self.name
| 23.333333
| 41
| 0.72381
| 28
| 210
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0
| 4
|
cf8a9416b21f67ee6fab0dadf36ecd93ef2d923a
| 289
|
py
|
Python
|
tweet_crawler/api.py
|
RobinSchaefer/tweet-crawler
|
4512247402c1b62f5e63c9576da204f67fe0f979
|
[
"MIT"
] | 1
|
2022-02-20T14:36:12.000Z
|
2022-02-20T14:36:12.000Z
|
tweet_crawler/api.py
|
RobinSchaefer/tweet-crawler
|
4512247402c1b62f5e63c9576da204f67fe0f979
|
[
"MIT"
] | null | null | null |
tweet_crawler/api.py
|
RobinSchaefer/tweet-crawler
|
4512247402c1b62f5e63c9576da204f67fe0f979
|
[
"MIT"
] | 1
|
2021-10-17T22:00:39.000Z
|
2021-10-17T22:00:39.000Z
|
import tweepy
def init_api(consumer_key, consumer_secret, access_token, access_token_secret):
'''
'''
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
return tweepy.API(auth, wait_on_rate_limit=True)
| 26.272727
| 79
| 0.768166
| 39
| 289
| 5.282051
| 0.487179
| 0.26699
| 0.247573
| 0.320388
| 0.271845
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141869
| 289
| 10
| 80
| 28.9
| 0.830645
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| 1
| 0.2
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
cfa6454498eb904bfab68167dbb0ea888846bd8c
| 94
|
py
|
Python
|
tests/conftest.py
|
kunansy/Vocabulary
|
8794f093067262cf6e71bf64428716d6677d83aa
|
[
"MIT"
] | null | null | null |
tests/conftest.py
|
kunansy/Vocabulary
|
8794f093067262cf6e71bf64428716d6677d83aa
|
[
"MIT"
] | 7
|
2020-09-11T05:43:58.000Z
|
2021-08-21T20:42:59.000Z
|
tests/conftest.py
|
FaustGoethe/EnglishVocabulary
|
ec1af4f38b9b5196558ce7cda05878827727fcd3
|
[
"MIT"
] | null | null | null |
import time
import pytest
@pytest.fixture(scope="function")
def sleep():
time.sleep(3)
| 10.444444
| 33
| 0.702128
| 13
| 94
| 5.076923
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012658
| 0.159574
| 94
| 8
| 34
| 11.75
| 0.822785
| 0
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| 0
| 0
| 0.085106
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
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| 0
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| 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
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
cfc2ae675abb9e1e9b65beea095e8bcb74415877
| 345
|
py
|
Python
|
django-L4/learning_templates/basic_app/views.py
|
MajhiRockzZ/py-dj-fswdbc
|
aa14da5febeb0280994e00936428bca67e800214
|
[
"MIT"
] | null | null | null |
django-L4/learning_templates/basic_app/views.py
|
MajhiRockzZ/py-dj-fswdbc
|
aa14da5febeb0280994e00936428bca67e800214
|
[
"MIT"
] | null | null | null |
django-L4/learning_templates/basic_app/views.py
|
MajhiRockzZ/py-dj-fswdbc
|
aa14da5febeb0280994e00936428bca67e800214
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
def index(request):
context_dic = {'text': 'hello world', 'number': 100}
return render(request, 'basic_app/index.html', context_dic)
def other(request):
return render(request, 'basic_app/other.html')
def relative(request):
return render(request, 'basic_app/relative_url_templates.html')
| 23
| 67
| 0.730435
| 46
| 345
| 5.326087
| 0.5
| 0.146939
| 0.232653
| 0.293878
| 0.387755
| 0.277551
| 0
| 0
| 0
| 0
| 0
| 0.010135
| 0.142029
| 345
| 14
| 68
| 24.642857
| 0.817568
| 0
| 0
| 0
| 0
| 0
| 0.284058
| 0.107246
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0.125
| 0.25
| 0.875
| 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
| 0
| 0
|
0
| 4
|
cfd01e63ddcb87c5d7f00237e3a4df28ce70e759
| 261
|
py
|
Python
|
weather/src/forecast/serializers.py
|
chrysopoeia/fluffy-fuzz
|
7b1f094d4ec19a6c1b29665cde06aa25e2faf3f3
|
[
"MIT"
] | null | null | null |
weather/src/forecast/serializers.py
|
chrysopoeia/fluffy-fuzz
|
7b1f094d4ec19a6c1b29665cde06aa25e2faf3f3
|
[
"MIT"
] | null | null | null |
weather/src/forecast/serializers.py
|
chrysopoeia/fluffy-fuzz
|
7b1f094d4ec19a6c1b29665cde06aa25e2faf3f3
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from .models import WeatherForecast
class WeatherForecastSerializer(serializers.ModelSerializer):
class Meta:
model = WeatherForecast
fields = ('city', 'date', 'min_temp', 'max_temp', 'wind', 'rain')
| 29
| 73
| 0.724138
| 26
| 261
| 7.153846
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 261
| 8
| 74
| 32.625
| 0.861111
| 0
| 0
| 0
| 0
| 0
| 0.122605
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
cfd064e022bf4766ad11ded505958d95b19df1e4
| 81
|
py
|
Python
|
gms/apps.py
|
mainaerick/test-gms
|
0e847fa6f40a1b3308f5b66383c3ab61524198fe
|
[
"MIT"
] | 1
|
2022-02-03T07:45:21.000Z
|
2022-02-03T07:45:21.000Z
|
gms/apps.py
|
mainaerick/test-gms
|
0e847fa6f40a1b3308f5b66383c3ab61524198fe
|
[
"MIT"
] | null | null | null |
gms/apps.py
|
mainaerick/test-gms
|
0e847fa6f40a1b3308f5b66383c3ab61524198fe
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class GmsConfig(AppConfig):
name = 'gms'
| 13.5
| 33
| 0.728395
| 10
| 81
| 5.9
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185185
| 81
| 5
| 34
| 16.2
| 0.893939
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
cffb1bac066f156335df406ba6b55f3e3b81349d
| 553
|
py
|
Python
|
vmraid/patches/v8_0/rename_print_to_printing.py
|
sowrisurya/vmraid
|
f833e00978019dad87af80b41279c0146c063ed5
|
[
"MIT"
] | null | null | null |
vmraid/patches/v8_0/rename_print_to_printing.py
|
sowrisurya/vmraid
|
f833e00978019dad87af80b41279c0146c063ed5
|
[
"MIT"
] | null | null | null |
vmraid/patches/v8_0/rename_print_to_printing.py
|
sowrisurya/vmraid
|
f833e00978019dad87af80b41279c0146c063ed5
|
[
"MIT"
] | null | null | null |
from __future__ import unicode_literals
import vmraid
def execute():
if vmraid.db.exists('Module Def', 'Print'):
vmraid.reload_doc('printing', 'doctype', 'print_format')
vmraid.reload_doc('printing', 'doctype', 'print_settings')
vmraid.reload_doc('printing', 'doctype', 'print_heading')
vmraid.reload_doc('printing', 'doctype', 'letter_head')
vmraid.reload_doc('printing', 'page', 'print_format_builder')
vmraid.db.sql("""update `tabPrint Format` set module='Printing' where module='Print'""")
vmraid.delete_doc('Module Def', 'Print')
| 42.538462
| 90
| 0.730561
| 70
| 553
| 5.528571
| 0.428571
| 0.155039
| 0.193798
| 0.297158
| 0.348837
| 0.271318
| 0
| 0
| 0
| 0
| 0
| 0
| 0.099458
| 553
| 13
| 91
| 42.538462
| 0.777108
| 0
| 0
| 0
| 0
| 0
| 0.431408
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090909
| true
| 0
| 0.181818
| 0
| 0.272727
| 0.454545
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
5c529030df9b0e9fc95c1cc10b7eef8955639190
| 18,586
|
py
|
Python
|
script/TrajectoryPlanner/SuspensionMatrices.py
|
ryanp543/autotuner
|
521bddeb45f874d5422057992e2787beb7955e3c
|
[
"MIT"
] | null | null | null |
script/TrajectoryPlanner/SuspensionMatrices.py
|
ryanp543/autotuner
|
521bddeb45f874d5422057992e2787beb7955e3c
|
[
"MIT"
] | null | null | null |
script/TrajectoryPlanner/SuspensionMatrices.py
|
ryanp543/autotuner
|
521bddeb45f874d5422057992e2787beb7955e3c
|
[
"MIT"
] | null | null | null |
import numpy as np
from numpy import sin, cos
"""
# Example use
from numpy import linalg
sus = Suspension_8legs()
K = sus.GetStiffnessMatrix()
B = sus.GetDampingMatrix()
# To get the eigen values:
eigvalues,eigenvectors = linalg.eig(K)
lambda_min = min(eigvalues)
"""
class Suspension_8legs():
# A simple class to define the stiffness (K) and damping (B) matrices of a vehicle suspension with 8 legs.
# Uses Taylor expansions for terms where the state vector does not appear linearly.
def __init__(self, g=9.80665, L=0.4,
B=0.657, Lf=0.155,
H=0.01, k_spring_lin=767, # k = 1560.38, 767, 860, H=0.076
Ln_lin=0.0685, b_damper=230): # 230, 0.0685
# -----------------------
# Default Parameters
# -----------------------
#
# g Earth's gravitational acceleration in meters/second^2
# L Length of the track on the ground in meters
# B Tread of the vehicle in meters
# Lf Horizontal distance from COM to front spring attachment point in meters
# H Height of the linear spring attachment point with respect to the COM in meters
# k_spring_lin Spring stiffness constant in newton/meter
# Ln_lin Natural lenght of the springs in meters
# b_damper Equivalent linear damper constant of each suspension leg in newtons*second/meter
# n Number of legs per side
#
self.g = g
self.L = L
self.B = B
self.Lf = Lf
self.H = H
self.k_spring_lin = k_spring_lin
self.Ln_lin = Ln_lin
self.b_damper = b_damper
self.n = 4 # Number of legs per side (8 total)
# print("Suspension parameters initialized.")
def GetStiffnessMatrix(self, z=0, qPitch=0, qRoll=0):
g = self.g
L = self.L
B = self.B
Lf = self.Lf
H = self.H
k_spring_lin = self.k_spring_lin
Ln_lin = self.Ln_lin
b_damper = self.b_damper
n = self.n
k_z_z = 8 * k_spring_lin
k_z_qRoll = 0.006944444 * H * k_spring_lin * qRoll * (
576 + 12 * qPitch ** 4 + 12 * qPitch ** 2 * qRoll ** 2 - 48 * qRoll ** 2 - qPitch ** 2 * (
144 + qPitch ** 2 * qRoll ** 2))
k_z_qPitch = 0.006944444 * k_spring_lin * (
576 * H * qPitch + 192 * Lf * qPitch ** 2 + 12 * H * qPitch * qRoll ** 4 + 12 * H * qPitch ** 3 * qRoll ** 2 - 1152 * Lf - 48 * H * qPitch ** 3 - 9.6 * Lf * qPitch ** 4 - H * qPitch * qRoll ** 2 * (
144 + qPitch ** 2 * qRoll ** 2) - 14.4 * L * (-120 + 20 * qPitch ** 2 - qPitch ** 4) / (-1 + n))
k_qRoll_z = 8 * H * k_spring_lin * sin(qRoll)
k_qRoll_qRoll = 1.446759E-05 * k_spring_lin * (
138240 * B ** 2 + 48 * B ** 2 * qRoll ** 8 + 2880 * B ** 2 * qPitch ** 4 + 6144 * H ** 2 * qRoll ** 6 + 18432 * B ** 2 * qRoll ** 4 + 46080 * H * Lf * qPitch ** 3 + 92160 * H * Ln_lin * qRoll ** 2 + 138240 * H ** 2 * qPitch ** 2 + 368640 * H ** 2 * qRoll ** 2 + 46080 * H * Lf * qPitch * qRoll ** 2 + B ** 2 * qPitch ** 4 * qRoll ** 8 + 48 * H ** 2 * qPitch ** 2 * qRoll ** 8 + 128 * H ** 2 * qPitch ** 4 * qRoll ** 6 + 384 * B ** 2 * qPitch ** 2 * qRoll ** 6 + 384 * B ** 2 * qPitch ** 4 * qRoll ** 4 + 384 * H * Lf * qPitch ** 3 * qRoll ** 4 + 384 * H * Lf * qPitch ** 5 * qRoll ** 2 + 7680 * H ** 2 * qPitch ** 4 * qRoll ** 2 + 18432 * H ** 2 * qPitch ** 2 * qRoll ** 4 + 23040 * B ** 2 * qPitch ** 2 * qRoll ** 2 - 552960 * H * Ln_lin - 552960 * H ** 2 - 276480 * H * Lf * qPitch - 92160 * B ** 2 * qRoll ** 2 - 73728 * H ** 2 * qRoll ** 4 - 34560 * B ** 2 * qPitch ** 2 - 11520 * H ** 2 * qPitch ** 4 - 4608 * H * Ln_lin * qRoll ** 4 - 2304 * H * Lf * qPitch ** 5 - 1536 * B ** 2 * qRoll ** 6 - 192 * H ** 2 * qRoll ** 8 - 2304 * H * Lf * qPitch * qRoll ** 4 - 92160 * H ** 2 * qPitch ** 2 * qRoll ** 2 - 7680 * H * Lf * qPitch ** 3 * qRoll ** 2 - 4608 * B ** 2 * qPitch ** 2 * qRoll ** 4 - 1920 * B ** 2 * qPitch ** 4 * qRoll ** 2 - 1536 * H ** 2 * qPitch ** 2 * qRoll ** 6 - 1536 * H ** 2 * qPitch ** 4 * qRoll ** 4 - 32 * B ** 2 * qPitch ** 4 * qRoll ** 6 - 19.2 * H * Lf * qPitch ** 5 * qRoll ** 4 - 12 * B ** 2 * qPitch ** 2 * qRoll ** 8 - 4 * H ** 2 * qPitch ** 4 * qRoll ** 8 - 28.8 * H * L * qPitch * (
-14400 + 2400 * qPitch ** 2 + 2400 * qRoll ** 2 + 20 * qPitch ** 2 * qRoll ** 4 + 20 * qPitch ** 4 * qRoll ** 2 - 120 * qPitch ** 4 - 120 * qRoll ** 4 - 400 * qPitch ** 2 * qRoll ** 2 - qPitch ** 4 * qRoll ** 4) / (
-1 + n))
k_qRoll_qPitch = 1.446759E-05 * k_spring_lin * qRoll * (
138240 * H ** 2 * qPitch + 2880 * B ** 2 * qPitch ** 3 + 46080 * H * Lf * qPitch ** 2 + 46080 * H * Lf * qRoll ** 2 + 48 * H ** 2 * qPitch * qRoll ** 8 + 384 * B ** 2 * qPitch * qRoll ** 6 + 18432 * H ** 2 * qPitch * qRoll ** 4 + 23040 * B ** 2 * qPitch * qRoll ** 2 + B ** 2 * qPitch ** 3 * qRoll ** 8 + 128 * H ** 2 * qPitch ** 3 * qRoll ** 6 + 384 * B ** 2 * qPitch ** 3 * qRoll ** 4 + 384 * H * Lf * qPitch ** 2 * qRoll ** 4 + 384 * H * Lf * qPitch ** 4 * qRoll ** 2 + 7680 * H ** 2 * qPitch ** 3 * qRoll ** 2 - 276480 * H * Lf - 34560 * B ** 2 * qPitch - 11520 * H ** 2 * qPitch ** 3 - 2304 * H * Lf * qPitch ** 4 - 2304 * H * Lf * qRoll ** 4 - 92160 * H ** 2 * qPitch * qRoll ** 2 - 4608 * B ** 2 * qPitch * qRoll ** 4 - 1536 * H ** 2 * qPitch * qRoll ** 6 - 12 * B ** 2 * qPitch * qRoll ** 8 - 7680 * H * Lf * qPitch ** 2 * qRoll ** 2 - 1920 * B ** 2 * qPitch ** 3 * qRoll ** 2 - 1536 * H ** 2 * qPitch ** 3 * qRoll ** 4 - 32 * B ** 2 * qPitch ** 3 * qRoll ** 6 - 19.2 * H * Lf * qPitch ** 4 * qRoll ** 4 - 4 * H ** 2 * qPitch ** 3 * qRoll ** 8 - 28.8 * H * L * (
-14400 + 2400 * qPitch ** 2 + 2400 * qRoll ** 2 + 20 * qPitch ** 2 * qRoll ** 4 + 20 * qPitch ** 4 * qRoll ** 2 - 120 * qPitch ** 4 - 120 * qRoll ** 4 - 400 * qPitch ** 2 * qRoll ** 2 - qPitch ** 4 * qRoll ** 4) / (
-1 + n))
k_qPitch_z = -8 * k_spring_lin * (
Lf * cos(qPitch) - H * sin(qPitch) * cos(qRoll) - 1.5 * L * cos(qPitch) / (-1 + n))
k_qPitch_qRoll = k_spring_lin * qRoll * (
2 * H * Ln_lin * qPitch + 4 * H ** 2 * qPitch + 0.0002777778 * H * Lf * qPitch ** 10 + 0.001388889 * H ** 2 * qPitch ** 9 + 0.01111111 * B ** 2 * qPitch ** 7 + 0.01666667 * H * Ln_lin * qPitch ** 5 + 0.1777778 * H * Lf * qPitch ** 6 + 0.3333333 * H * Lf * qRoll ** 2 + 0.5333333 * H ** 2 * qPitch ** 5 + 0.6666667 * B ** 2 * qPitch ** 3 + 4 * H * Lf * qPitch ** 2 + 0.0002777778 * H ** 2 * qPitch * qRoll ** 8 + 0.002777778 * B ** 2 * qPitch * qRoll ** 6 + 0.1777778 * H ** 2 * qPitch * qRoll ** 4 + 9.645062E-08 * H ** 2 * qPitch ** 9 * qRoll ** 8 + 7.716049E-07 * B ** 2 * qPitch ** 7 * qRoll ** 8 + 9.645062E-07 * B ** 2 * qPitch ** 9 * qRoll ** 6 + 3.703704E-05 * H ** 2 * qPitch ** 5 * qRoll ** 8 + 4.62963E-05 * B ** 2 * qPitch ** 3 * qRoll ** 8 + 6.17284E-05 * H ** 2 * qPitch ** 9 * qRoll ** 4 + 0.0001234568 * H ** 2 * qPitch ** 7 * qRoll ** 6 + 0.0003703704 * B ** 2 * qPitch ** 5 * qRoll ** 6 + 0.0004938272 * B ** 2 * qPitch ** 7 * qRoll ** 4 + 0.0009259259 * H * Lf * qPitch ** 8 * qRoll ** 2 + 0.007407407 * H ** 2 * qPitch ** 3 * qRoll ** 6 + 0.0237037 * H ** 2 * qPitch ** 5 * qRoll ** 4 + 0.02777778 * H * Ln_lin * qPitch ** 3 * qRoll ** 2 + 0.02962963 * B ** 2 * qPitch ** 3 * qRoll ** 4 + 0.1111111 * H * Lf * qPitch ** 4 * qRoll ** 2 + 3.472222E-05 * H * L * (
-172800 + 172800 * n + 12 * qPitch ** 10 + 7680 * qPitch ** 6 + 480 * n * qPitch ** 8 + 4800 * qPitch ** 4 * qRoll ** 2 + 640 * n * qPitch ** 6 * qRoll ** 2 - 57600 * qPitch ** 4 - 480 * qPitch ** 8 - 12 * n * qPitch ** 10 - qPitch ** 10 * qRoll ** 2 - 14400 * (
-1 + n) * qRoll ** 2 - 40 * n * qPitch ** 8 * qRoll ** 2) / (
-1 + n) ** 2 - 4 * H * Lf - B ** 2 * qPitch - 2.666667 * H ** 2 * qPitch ** 3 - 1.333333 * H * Lf * qPitch ** 4 - 0.3333333 * H * Ln_lin * qPitch ** 3 - 0.1333333 * B ** 2 * qPitch ** 5 - 0.04444444 * H ** 2 * qPitch ** 7 - 0.01111111 * H * Lf * qPitch ** 8 - 0.0003472222 * B ** 2 * qPitch ** 9 - 1.333333 * H ** 2 * qPitch * qRoll ** 2 - 0.1666667 * H * Ln_lin * qPitch * qRoll ** 2 - 0.01111111 * H ** 2 * qPitch * qRoll ** 6 - 6.944444E-05 * B ** 2 * qPitch * qRoll ** 8 - 0.3333333 * H * Lf * qPitch ** 2 * qRoll ** 2 - 0.2222222 * B ** 2 * qPitch ** 3 * qRoll ** 2 - 0.1777778 * H ** 2 * qPitch ** 5 * qRoll ** 2 - 0.01481481 * H * Lf * qPitch ** 6 * qRoll ** 2 - 0.003703704 * B ** 2 * qPitch ** 7 * qRoll ** 2 - 0.001851852 * B ** 2 * qPitch ** 3 * qRoll ** 6 - 0.001481481 * H ** 2 * qPitch ** 5 * qRoll ** 6 - 0.001388889 * H * Ln_lin * qPitch ** 5 * qRoll ** 2 - 0.000462963 * H ** 2 * qPitch ** 9 * qRoll ** 2 - 0.0001851852 * H ** 2 * qPitch ** 3 * qRoll ** 8 - 3.08642E-05 * B ** 2 * qPitch ** 7 * qRoll ** 6 - 2.314815E-05 * H * Lf * qPitch ** 10 * qRoll ** 2 - 9.259259E-06 * B ** 2 * qPitch ** 5 * qRoll ** 8 - 3.858025E-06 * H ** 2 * qPitch ** 9 * qRoll ** 6 - 3.08642E-06 * H ** 2 * qPitch ** 7 * qRoll ** 8 - 2.411265E-08 * B ** 2 * qPitch ** 9 * qRoll ** 8 - 0.1185185 * H ** 2 * qPitch ** 3 * qRoll ** 2 * (
-7.5 + qRoll ** 2) - 0.005925926 * B ** 2 * qPitch ** 5 * qRoll ** 2 * (
-7.5 + qRoll ** 2) - 0.001975309 * H ** 2 * qPitch ** 7 * qRoll ** 2 * (
-7.5 + qRoll ** 2) - 1.54321E-05 * B ** 2 * qPitch ** 9 * qRoll ** 2 * (
-7.5 + qRoll ** 2) - 3.472222E-05 * qPitch * (
1280 * B ** 2 * qRoll ** 2 * (-7.5 + qRoll ** 2) + H * L * qPitch * (
-172800 + 172800 * n + 14400 * qRoll ** 2 + 7680 * n * qPitch ** 4 + 640 * qPitch ** 4 * qRoll ** 2 + 4800 * n * qPitch ** 2 * qRoll ** 2 - 57600 * n * qPitch ** 2 - 14400 * n * qRoll ** 2 - 40 * qPitch ** 6 * qRoll ** 2 - n * qPitch ** 8 * qRoll ** 2) / (
-1 + n) ** 2))
k_qPitch_qPitch = -k_spring_lin * (
8 * H * Ln_lin + 8 * H ** 2 + 4 * Lf * Ln_lin * qPitch + 16 * H * Lf * qPitch + B ** 2 * qRoll ** 2 + 6.944444E-05 * B ** 2 * qRoll ** 10 + 0.001111111 * H * Lf * qPitch ** 9 + 0.002777778 * H ** 2 * qPitch ** 8 + 0.01111111 * H ** 2 * qRoll ** 8 + 0.06666667 * H * Ln_lin * qPitch ** 4 + 0.08888889 * Lf ** 2 * qPitch ** 6 + 0.1666667 * H * Ln_lin * qRoll ** 4 + 0.7111111 * H * Lf * qPitch ** 5 + 1.066667 * H ** 2 * qPitch ** 4 + 1.333333 * H ** 2 * qRoll ** 4 + 5.333333 * Lf ** 2 * qPitch ** 2 + 0.3333333 * H * Lf * qPitch * qRoll ** 4 + 2.411265E-08 * B ** 2 * qPitch ** 8 * qRoll ** 10 + 3.08642E-06 * H ** 2 * qPitch ** 6 * qRoll ** 10 + 3.858025E-06 * H ** 2 * qPitch ** 8 * qRoll ** 8 + 9.259259E-06 * B ** 2 * qPitch ** 4 * qRoll ** 10 + 2.314815E-05 * H * Lf * qPitch ** 9 * qRoll ** 4 + 3.08642E-05 * B ** 2 * qPitch ** 6 * qRoll ** 8 + 0.0001851852 * H ** 2 * qPitch ** 2 * qRoll ** 10 + 0.0003472222 * B ** 2 * qPitch ** 8 * qRoll ** 2 + 0.000462963 * H ** 2 * qPitch ** 8 * qRoll ** 4 + 0.001388889 * H * Ln_lin * qPitch ** 4 * qRoll ** 4 + 0.001481481 * H ** 2 * qPitch ** 4 * qRoll ** 8 + 0.001851852 * B ** 2 * qPitch ** 2 * qRoll ** 8 + 0.003703704 * B ** 2 * qPitch ** 6 * qRoll ** 4 + 0.01111111 * H * Lf * qPitch ** 7 * qRoll ** 2 + 0.01481481 * H * Lf * qPitch ** 5 * qRoll ** 4 + 0.04444444 * H ** 2 * qPitch ** 6 * qRoll ** 2 + 0.1333333 * B ** 2 * qPitch ** 4 * qRoll ** 2 + 0.1777778 * H ** 2 * qPitch ** 4 * qRoll ** 4 + 0.2222222 * B ** 2 * qPitch ** 2 * qRoll ** 4 + 0.3333333 * H * Ln_lin * qPitch ** 2 * qRoll ** 2 + 1.333333 * H * Lf * qPitch ** 3 * qRoll ** 2 + 2.666667 * H ** 2 * qPitch ** 2 * qRoll ** 2 + 0.04444444 * B ** 2 * qRoll ** 4 * (
-7.5 + qRoll ** 2) + 1.54321E-05 * B ** 2 * qPitch ** 8 * qRoll ** 4 * (
-7.5 + qRoll ** 2) + 0.001975309 * H ** 2 * qPitch ** 6 * qRoll ** 4 * (
-7.5 + qRoll ** 2) + 0.005925926 * B ** 2 * qPitch ** 4 * qRoll ** 4 * (
-7.5 + qRoll ** 2) + 0.1185185 * H ** 2 * qPitch ** 2 * qRoll ** 4 * (
-7.5 + qRoll ** 2) - 8 * Lf ** 2 - 5.333333 * H * Lf * qPitch ** 3 - 5.333333 * H ** 2 * qPitch ** 2 - 4 * H ** 2 * qRoll ** 2 - 2 * H * Ln_lin * qRoll ** 2 - 1.333333 * H * Ln_lin * qPitch ** 2 - 1.066667 * Lf ** 2 * qPitch ** 4 - 0.3333333 * Lf * Ln_lin * qPitch ** 3 - 0.1777778 * H ** 2 * qRoll ** 6 - 0.08888889 * H ** 2 * qPitch ** 6 - 0.04444444 * H * Lf * qPitch ** 7 - 0.002777778 * B ** 2 * qRoll ** 8 - 0.002777778 * Lf ** 2 * qPitch ** 8 - 0.0002777778 * H ** 2 * qRoll ** 10 - 4 * H * Lf * qPitch * qRoll ** 2 - 0.6666667 * B ** 2 * qPitch ** 2 * qRoll ** 2 - 0.5333333 * H ** 2 * qPitch ** 4 * qRoll ** 2 - 0.1777778 * H * Lf * qPitch ** 5 * qRoll ** 2 - 0.1111111 * H * Lf * qPitch
** 3 * qRoll ** 4 - 0.02962963 * B ** 2 * qPitch ** 2 * qRoll ** 6 - 0.02777778 * H * Ln_lin * qPitch ** 2 * qRoll ** 4 - 0.0237037 * H ** 2 * qPitch ** 4 * qRoll ** 6 - 0.01666667 * H * Ln_lin * qPitch ** 4 * qRoll ** 2 - 0.01111111 * B ** 2 * qPitch ** 6 * qRoll ** 2 - 0.007407407 * H ** 2 * qPitch ** 2 * qRoll ** 8 - 0.001388889 * H ** 2 * qPitch ** 8 * qRoll ** 2 - 0.0009259259 * H * Lf * qPitch ** 7 * qRoll ** 4 - 0.0004938272 * B ** 2 * qPitch ** 6 * qRoll ** 6 - 0.0003703704 * B ** 2 * qPitch ** 4 * qRoll ** 8 - 0.0002777778 * H * Lf * qPitch ** 9 * qRoll ** 2 - 0.0001234568 * H ** 2 * qPitch ** 6 * qRoll ** 8 - 6.17284E-05 * H ** 2 * qPitch ** 8 * qRoll ** 6 - 4.62963E-05 * B ** 2 * qPitch ** 2 * qRoll ** 10 - 3.703704E-05 * H ** 2 * qPitch ** 4 * qRoll ** 10 - 9.645062E-07 * B ** 2 * qPitch ** 8 * qRoll ** 8 - 7.716049E-07 * B ** 2 * qPitch ** 6 * qRoll ** 10 - 9.645062E-08 * H ** 2 * qPitch ** 8 * qRoll ** 10 - 3.472222E-05 * L * (
691200 * Lf + 806400.2 * L + 240 * Lf * qPitch ** 8 + 280.0001 * L * qPitch ** 8 + 1920 * H * qPitch ** 7 + 92160 * Lf * qPitch ** 4 + 107520 * L * qPitch ** 4 + 230400 * H * qPitch ** 3 + 691200 * H * n * qPitch + 48 * H * n * qPitch ** 9 + 7680 * Lf * n * qPitch ** 6 + 30720 * H * n * qPitch ** 5 + 172800 * H * qPitch * qRoll ** 2 + 460800 * Lf * n * qPitch ** 2 + 12 * H * qPitch ** 9 * qRoll ** 2 + 40 * H * qPitch ** 7 * qRoll ** 4 + 4800 * H * qPitch ** 3 * qRoll ** 4 + 7680 * H * qPitch ** 5 * qRoll ** 2 + 14400 * H * n * qPitch * qRoll ** 4 + 172800 * Ln_lin * (
-1 + n) * qPitch + H * n * qPitch ** 9 * qRoll ** 4 + 480 * H * n * qPitch ** 7 * qRoll ** 2 + 640 * H * n * qPitch ** 5 * qRoll ** 4 + 57600 * H * n * qPitch ** 3 * qRoll ** 2 - 691200 * Lf * n - 691200 * H * qPitch - 537600.2 * L * qPitch ** 2 - 460800 * Lf * qPitch ** 2 - 30720 * H * qPitch ** 5 - 8960.003 * L * qPitch ** 6 - 7680 * Lf * qPitch ** 6 - 48 * H * qPitch ** 9 - 230400 * H * n * qPitch ** 3 - 92160 * Lf * n * qPitch ** 4 - 14400 * H * qPitch * qRoll ** 4 - 1920 * H * n * qPitch ** 7 - 240 * Lf * n * qPitch ** 8 - 172800 * H * n * qPitch * qRoll ** 2 - 57600 * H * qPitch ** 3 * qRoll ** 2 - 640 * H * qPitch ** 5 * qRoll ** 4 - 480 * H * qPitch ** 7 * qRoll ** 2 - H * qPitch ** 9 * qRoll ** 4 - 14400 * Ln_lin * (
-1 + n) * qPitch ** 3 - 7680 * H * n * qPitch ** 5 * qRoll ** 2 - 4800 * H * n * qPitch ** 3 * qRoll ** 4 - 40 * H * n * qPitch ** 7 * qRoll ** 4 - 12 * H * n * qPitch ** 9 * qRoll ** 2) / (
-1 + n) ** 2)
K = [[k_z_z, k_z_qRoll, k_z_qPitch], [k_qRoll_z, k_qRoll_qRoll, k_qRoll_qPitch],
[k_qPitch_z, k_qPitch_qRoll, k_qPitch_qPitch]]
return K
def GetDampingMatrix(self, z=0, qPitch=0, qRoll=0):
g = self.g
L = self.L
B = self.B
Lf = self.Lf
H = self.H
k_spring_lin = self.k_spring_lin
Ln_lin = self.Ln_lin
b_damper = self.b_damper
n = self.n
b_z_z = 8 * b_damper
b_z_qPitch = -8 * b_damper * (
Lf * cos(qPitch) - H * sin(qPitch) * cos(qRoll) - 1.5 * L * cos(qPitch) / (-1 + n))
b_z_qRoll = 8 * b_damper * H * sin(qRoll) * cos(qPitch)
b_qRoll_z = 8 * b_damper * H * sin(qRoll)
b_qRoll_qRoll = 2 * b_damper * cos(qPitch) * (B ** 2 - (B ** 2 - 4 * H ** 2) * sin(qRoll) ** 2)
b_qRoll_qPitch = -2 * b_damper * sin(qRoll) * (B ** 2 * sin(qPitch) * cos(qRoll) + 4 * H * (
Lf * cos(qPitch) - H * sin(qPitch) * cos(qRoll) - 1.5 * L * cos(qPitch) / (-1 + n)))
b_qPitch_z = -8 * b_damper * (
Lf * cos(qPitch) - H * sin(qPitch) * cos(qRoll) - 1.5 * L * cos(qPitch) / (-1 + n))
b_qPitch_qRoll = 2 * b_damper * sin(qRoll) * cos(qPitch) * (
6 * H * L * cos(qPitch) / (-1 + n) - 4 * H * Lf * cos(qPitch) - (B ** 2 - 4 * H ** 2) * sin(
qPitch) * cos(qRoll))
b_qPitch_qPitch = -0.5 * b_damper * ((Lf - 3 * L / (-1 + n)) * cos(qPitch) * (
12 * L * cos(qPitch) / (-1 + n) - 4 * Lf * cos(qPitch) - sin(qPitch) * (
B * sin(qRoll) - 2 * H * cos(qRoll))) + (Lf - 2 * L / (-1 + n)) * cos(qPitch) * (
8 * L * cos(qPitch) / (-1 + n) - 4 * Lf * cos(qPitch) - sin(
qPitch) * (B * sin(qRoll) - 2 * H * cos(qRoll))) - 4 * Lf * cos(
qPitch) * (Lf * cos(qPitch) - 5.5 * H * sin(qPitch) * cos(qRoll)) - 2 * (Lf - L / (-1 + n)) * cos(
qPitch) * (2 * Lf * cos(qPitch) - H * sin(qPitch) * cos(qRoll) - 2 * L * cos(qPitch) / (-1 + n)) - 2 * sin(
qPitch) * (8 * H ** 2 * sin(qPitch) + 13 * H * L * cos(qPitch) * cos(qRoll) / (-1 + n) + 2 * (
B ** 2 - 4 * H ** 2) * sin(qPitch) * sin(qRoll) ** 2 - (Lf - 2.5 * L / (-1 + n)) * cos(qPitch) * (
B * sin(qRoll) + 2 * H * cos(qRoll))))
B = [[b_z_z, b_z_qRoll, b_z_qPitch], [b_qRoll_z, b_qRoll_qRoll, b_qRoll_qPitch],
[b_qPitch_z, b_qPitch_qRoll, b_qPitch_qPitch]]
# eigvalues, eigenvectors = linalg.eig(B)
# lambda_min = min(eigvalues)
return B
| 121.477124
| 1,702
| 0.460831
| 2,800
| 18,586
| 3.001429
| 0.086429
| 0.109948
| 0.061875
| 0.029391
| 0.579724
| 0.386007
| 0.192289
| 0.14029
| 0.107211
| 0.094836
| 0
| 0.224578
| 0.355536
| 18,586
| 152
| 1,703
| 122.276316
| 0.477041
| 0.056225
| 0
| 0.233645
| 0
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| 1
| 0.028037
| false
| 0
| 0.018692
| 0
| 0.074766
| 0
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| 0
| null | 0
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| 0
| 1
| 0
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| 1
| 1
| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5c9456760fb977b61c76c1697676ffc524219247
| 234
|
py
|
Python
|
4-19-18/python-basics.py
|
missystrab/misy350-s18-exercises
|
67ce7bd7be0e3aa0978889460465dd2e1a7a1e68
|
[
"MIT"
] | null | null | null |
4-19-18/python-basics.py
|
missystrab/misy350-s18-exercises
|
67ce7bd7be0e3aa0978889460465dd2e1a7a1e68
|
[
"MIT"
] | null | null | null |
4-19-18/python-basics.py
|
missystrab/misy350-s18-exercises
|
67ce7bd7be0e3aa0978889460465dd2e1a7a1e68
|
[
"MIT"
] | null | null | null |
# this is my first python code
greeting = "hello"
name = "Missy"
print greeting # this print out string
print len(greeting)
print greeting.upper()
print greeting[4]
print greeting + " " + name + "!"
print "%s %s!" % (greeting, name)
| 23.4
| 39
| 0.683761
| 33
| 234
| 4.848485
| 0.515152
| 0.325
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005208
| 0.179487
| 234
| 9
| 40
| 26
| 0.828125
| 0.213675
| 0
| 0
| 0
| 0
| 0.099448
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.75
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
5ca9b2c05513bb8e4de4607f59e8bb9acca601df
| 219
|
py
|
Python
|
pyndodax/tests/api_request_test.py
|
diwangs/PyIndodax
|
d0f2f187673971d04a3aff83d62ffca2cfc9bb08
|
[
"Apache-2.0"
] | 1
|
2021-11-07T02:33:09.000Z
|
2021-11-07T02:33:09.000Z
|
pyndodax/tests/api_request_test.py
|
rundhik/pyndodax
|
d0f2f187673971d04a3aff83d62ffca2cfc9bb08
|
[
"Apache-2.0"
] | null | null | null |
pyndodax/tests/api_request_test.py
|
rundhik/pyndodax
|
d0f2f187673971d04a3aff83d62ffca2cfc9bb08
|
[
"Apache-2.0"
] | 2
|
2020-07-29T11:07:21.000Z
|
2020-08-08T04:25:58.000Z
|
import pytest
from pyndodax import api_request
import asyncio
@pytest.mark.asyncio
async def test_aio_api_request():
url = "https://indodax.com/api/btc_idr/ticker"
assert await api_request.aio_api_request(url)
| 24.333333
| 50
| 0.789954
| 34
| 219
| 4.852941
| 0.617647
| 0.242424
| 0.157576
| 0.193939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123288
| 219
| 9
| 51
| 24.333333
| 0.859375
| 0
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| 0.172727
| 0
| 0
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| 0
| 0.142857
| 1
| 0
| false
| 0
| 0.428571
| 0
| 0.428571
| 0
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| null | 1
| 0
| 1
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| 0
| 1
| 0
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| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5cc5942e2ed5ee5f52facec64ff548802bbfda0e
| 290
|
py
|
Python
|
typeclasses/bauble.py
|
stesla/arxcode
|
a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a
|
[
"MIT"
] | 5
|
2019-03-16T08:26:53.000Z
|
2019-11-27T15:42:16.000Z
|
typeclasses/bauble.py
|
stesla/arxcode
|
a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a
|
[
"MIT"
] | 7
|
2018-09-29T05:08:15.000Z
|
2021-06-10T21:35:32.000Z
|
typeclasses/bauble.py
|
stesla/arxcode
|
a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a
|
[
"MIT"
] | 7
|
2018-09-19T21:11:29.000Z
|
2019-11-19T12:46:14.000Z
|
"""
Placeholder class. Currently identical to regular
objects.
"""
from typeclasses.objects import Object as DefaultObject
from .mixins import ObjectMixins
class Bauble(DefaultObject):
"""
Essentially a placeolder in case we wanna do anything with it
later.
"""
pass
| 18.125
| 65
| 0.727586
| 34
| 290
| 6.205882
| 0.852941
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0.203448
| 290
| 15
| 66
| 19.333333
| 0.91342
| 0.437931
| 0
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| true
| 0.25
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| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
7a2583e20051bcdef9e0dd209974971e828e9b25
| 3,748
|
py
|
Python
|
tests/test_Lookup.py
|
sms77io/python-client
|
f729e017da89575bc48a80bd9b6d8d6fe0e124d3
|
[
"MIT"
] | null | null | null |
tests/test_Lookup.py
|
sms77io/python-client
|
f729e017da89575bc48a80bd9b6d8d6fe0e124d3
|
[
"MIT"
] | 1
|
2021-02-03T19:47:42.000Z
|
2021-02-04T17:58:46.000Z
|
tests/test_Lookup.py
|
sms77io/python-client
|
f729e017da89575bc48a80bd9b6d8d6fe0e124d3
|
[
"MIT"
] | null | null | null |
from src.sms77api.classes.Lookup import LookupType, MnpResponse
from tests.BaseTest import BaseTest
class TestLookup(BaseTest):
def test_lookup_cnam(self) -> None:
res = self.client.lookup(LookupType.CNAM, '+491771783130')
self.assertIsInstance(res, dict)
self.assertIsInstance(res['success'], str)
self.assertIsInstance(res['code'], str)
self.assertIsInstance(res['number'], str)
self.assertIsInstance(res['name'], str)
def test_lookup_format(self) -> None:
res = self.client.lookup(LookupType.FORMAT, '+491771783130')
self.assertIsInstance(res, dict)
self.assertTrue(res['success'])
self.assertIsInstance(res['national'], str)
self.assertIsInstance(res['international'], str)
self.assertIsInstance(res['international_formatted'], str)
self.assertIsInstance(res['country_name'], str)
self.assertIsInstance(res['country_code'], str)
self.assertIsInstance(res['country_iso'], str)
self.assertIsInstance(res['carrier'], str)
self.assertIsInstance(res['network_type'], str)
def test_lookup_hlr(self) -> None:
def is_valid_carrier(carrier: dict):
valid = isinstance(carrier['network_code'], str)
valid = isinstance(carrier['name'], str) if valid else False
valid = isinstance(carrier['country'], str) if valid else False
valid = isinstance(carrier['network_type'], str) if valid else False
return valid
res = self.client.lookup(LookupType.HLR, '+491771783130')
self.assertIsInstance(res, dict)
self.assertIsInstance(res['status'], bool)
self.assertIsInstance(res['status_message'], str)
self.assertIsInstance(res['lookup_outcome'], bool)
self.assertIsInstance(res['lookup_outcome_message'], str)
self.assertIsInstance(res['international_format_number'], str)
self.assertIsInstance(res['international_formatted'], str)
self.assertIsInstance(res['national_format_number'], str)
self.assertIsInstance(res['country_code'], str)
self.assertIsInstance(res['country_name'], str)
self.assertIsInstance(res['country_prefix'], str)
self.assertIsInstance(res['current_carrier'], dict)
self.assertIsInstance(res['original_carrier'], dict)
self.assertIsInstance(res['valid_number'], str)
self.assertIsInstance(res['reachable'], str)
self.assertIsInstance(res['ported'], str)
self.assertIsInstance(res['roaming'], str)
self.assertIsInstance(res['gsm_code'], str)
self.assertIsInstance(res['gsm_message'], str)
self.assertTrue(is_valid_carrier(res['current_carrier']))
self.assertTrue(is_valid_carrier(res['original_carrier']))
def test_lookup_mnp(self) -> None:
res = self.client.lookup(LookupType.MNP, '+491771783130')
self.assertIsInstance(res, str)
self.assertIn(res, MnpResponse.values())
# JSON
res = self.client.lookup(LookupType.MNP, '+491771783130', True)
self.assertIsInstance(res, dict)
self.assertTrue(res['success'])
self.assertEqual(res['code'], 100)
self.assertIsInstance(res['price'], float)
self.assertIsInstance(res['mnp'], dict)
self.assertIsInstance(res['mnp']['country'], str)
self.assertIsInstance(res['mnp']['number'], str)
self.assertIsInstance(res['mnp']['national_format'], str)
self.assertIsInstance(res['mnp']['international_formatted'], str)
self.assertIsInstance(res['mnp']['network'], str)
self.assertIsInstance(res['mnp']['mccmnc'], str)
self.assertIsInstance(res['mnp']['isPorted'], bool)
| 45.156627
| 80
| 0.667289
| 399
| 3,748
| 6.162907
| 0.16792
| 0.357869
| 0.411549
| 0.306629
| 0.634811
| 0.393656
| 0.334282
| 0.265148
| 0.181375
| 0.136641
| 0
| 0.021495
| 0.19317
| 3,748
| 82
| 81
| 45.707317
| 0.791667
| 0.001067
| 0
| 0.176471
| 0
| 0
| 0.16542
| 0.037413
| 0
| 0
| 0
| 0
| 0.735294
| 1
| 0.073529
| false
| 0
| 0.029412
| 0
| 0.132353
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7a3401c2458c723c8b0d02a5f1cf64982ddd3e17
| 63
|
py
|
Python
|
BirdSongToolbox/test/test_preprocessing/__init__.py
|
Darilbii/BirdSongToolbox
|
f4853a7f6cb5c4ef0f57e9f346be08f6e153ca65
|
[
"Apache-2.0"
] | 3
|
2021-08-03T00:03:37.000Z
|
2021-09-25T04:37:52.000Z
|
BirdSongToolbox/test/test_preprocessing/__init__.py
|
Darilbii/BirdSongToolbox
|
f4853a7f6cb5c4ef0f57e9f346be08f6e153ca65
|
[
"Apache-2.0"
] | 1
|
2021-08-08T11:04:36.000Z
|
2021-08-08T11:04:36.000Z
|
BirdSongToolbox/test/test_preprocessing/__init__.py
|
Darilbii/BirdSongToolbox
|
f4853a7f6cb5c4ef0f57e9f346be08f6e153ca65
|
[
"Apache-2.0"
] | null | null | null |
"""Test code for preprocessing functions in BirdSongToolbox."""
| 63
| 63
| 0.793651
| 7
| 63
| 7.142857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 63
| 1
| 63
| 63
| 0.877193
| 0.904762
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 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
| 4
|
7a34da83c5e82543367898e8730e095e655e8e28
| 239
|
py
|
Python
|
home/.interactive_rc.py
|
ssokolow/profile
|
09f2a842077909d883a08b546659516deec7d719
|
[
"MIT"
] | 9
|
2015-04-14T22:27:40.000Z
|
2022-02-23T05:33:00.000Z
|
home/.interactive_rc.py
|
ssokolow/profile
|
09f2a842077909d883a08b546659516deec7d719
|
[
"MIT"
] | null | null | null |
home/.interactive_rc.py
|
ssokolow/profile
|
09f2a842077909d883a08b546659516deec7d719
|
[
"MIT"
] | 9
|
2015-04-14T22:27:42.000Z
|
2017-11-21T11:34:23.000Z
|
try:
import readline
except ImportError:
print ("Module readline not available.")
else:
import rlcompleter
#TODO: Figure out how to make binding to Control-Tab not also grab Tab
readline.parse_and_bind("tab: complete")
| 26.555556
| 74
| 0.728033
| 33
| 239
| 5.212121
| 0.787879
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.200837
| 239
| 8
| 75
| 29.875
| 0.900524
| 0.288703
| 0
| 0
| 0
| 0
| 0.254438
| 0
| 0
| 0
| 0
| 0.125
| 0
| 1
| 0
| true
| 0
| 0.428571
| 0
| 0.428571
| 0.142857
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7a44a90cbd5c01a191f671e90d4705b13272c5e5
| 176
|
py
|
Python
|
data_io_fns/import_data/__init__.py
|
chrisjdavie/ws_cross_project
|
10ffd6d0df1aeea0e5d2d6c5dfddab907a2cd439
|
[
"MIT"
] | null | null | null |
data_io_fns/import_data/__init__.py
|
chrisjdavie/ws_cross_project
|
10ffd6d0df1aeea0e5d2d6c5dfddab907a2cd439
|
[
"MIT"
] | null | null | null |
data_io_fns/import_data/__init__.py
|
chrisjdavie/ws_cross_project
|
10ffd6d0df1aeea0e5d2d6c5dfddab907a2cd439
|
[
"MIT"
] | null | null | null |
from csv_functions import vect_read, csv_matrix_read, read_single_val
from zeus_hdf_fns import zmp3d_hdf_read, sph_col_2d_hdfread, zmp_hdf_t, zmp3d_coords_read, zmp3d_var_read
| 58.666667
| 105
| 0.886364
| 33
| 176
| 4.151515
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024691
| 0.079545
| 176
| 3
| 105
| 58.666667
| 0.820988
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7a8a642b1901ae4f6a5f05af861d47779d94d199
| 536
|
bzl
|
Python
|
tools/repositories.bzl
|
depp/terrestrial-collection-machine
|
54b4f2906bd733d2f5b62622cfcbb7508674bc98
|
[
"MIT"
] | null | null | null |
tools/repositories.bzl
|
depp/terrestrial-collection-machine
|
54b4f2906bd733d2f5b62622cfcbb7508674bc98
|
[
"MIT"
] | null | null | null |
tools/repositories.bzl
|
depp/terrestrial-collection-machine
|
54b4f2906bd733d2f5b62622cfcbb7508674bc98
|
[
"MIT"
] | null | null | null |
load(":pkg_config.bzl", "pkg_config_repository")
def add_repositories():
pkg_config_repository(
name = "glfw3",
spec = "glfw3",
includes = [
"GLFW/*.h",
],
)
pkg_config_repository(
name = "glew",
spec = "glew",
includes = [
"GL/glew.h",
],
)
pkg_config_repository(
name = "libpng",
spec = "libpng",
includes = [
"png.h",
"pngconf.h",
"pnglibconf.h",
],
)
| 19.851852
| 48
| 0.434701
| 45
| 536
| 4.955556
| 0.444444
| 0.201794
| 0.340807
| 0.309417
| 0.215247
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006452
| 0.421642
| 536
| 26
| 49
| 20.615385
| 0.712903
| 0
| 0
| 0.36
| 0
| 0
| 0.203358
| 0.039179
| 0
| 0
| 0
| 0
| 0
| 1
| 0.04
| true
| 0
| 0
| 0
| 0.04
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7a9f69c1e7ea96bb2a36b989beea1f60c27788ac
| 189
|
py
|
Python
|
Calculator/addition.py
|
LachlanDev/Python-Basics
|
000568d011b393d1d74454093373148cba69cfd2
|
[
"MIT"
] | 2
|
2020-07-14T13:09:13.000Z
|
2020-12-17T13:28:16.000Z
|
Calculator/addition.py
|
PapaSnags/Python-Basics
|
000568d011b393d1d74454093373148cba69cfd2
|
[
"MIT"
] | null | null | null |
Calculator/addition.py
|
PapaSnags/Python-Basics
|
000568d011b393d1d74454093373148cba69cfd2
|
[
"MIT"
] | null | null | null |
print("Welcome to the Python Addition Calculator")
num1 = int(input("Give me a number to add "))
num2 = int(input("Give me another number to add "))
print(num1,"+",num2,"=", num1 + num2)
| 47.25
| 52
| 0.677249
| 30
| 189
| 4.266667
| 0.566667
| 0.125
| 0.1875
| 0.21875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037736
| 0.15873
| 189
| 4
| 53
| 47.25
| 0.767296
| 0
| 0
| 0
| 0
| 0
| 0.518717
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
7aac280fa5d7e6952aad1059ef94a005390b20b8
| 120
|
py
|
Python
|
eucaconsole/models/arn/__init__.py
|
gholms/eucaconsole
|
4629c961c90e3aae27e3a869a7f157bafeda6489
|
[
"BSD-2-Clause"
] | null | null | null |
eucaconsole/models/arn/__init__.py
|
gholms/eucaconsole
|
4629c961c90e3aae27e3a869a7f157bafeda6489
|
[
"BSD-2-Clause"
] | 10
|
2018-03-28T17:25:16.000Z
|
2021-03-05T10:15:06.000Z
|
eucaconsole/models/arn/__init__.py
|
gholms/eucaconsole
|
4629c961c90e3aae27e3a869a7f157bafeda6489
|
[
"BSD-2-Clause"
] | 1
|
2019-06-07T20:43:45.000Z
|
2019-06-07T20:43:45.000Z
|
from arn import AmazonResourceName
from autoscaling import AutoScaling
__all__ = ['AmazonResourceName', 'AutoScaling']
| 24
| 47
| 0.825
| 11
| 120
| 8.636364
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108333
| 120
| 4
| 48
| 30
| 0.88785
| 0
| 0
| 0
| 0
| 0
| 0.241667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7ab2e70ffb681a0d33286a2350104a3c880e6f3e
| 87
|
py
|
Python
|
app/db/errors.py
|
dormantman/simple-insurance
|
fe54aa75fcecebc222d3e8ce734ff8aed737d6fe
|
[
"MIT"
] | null | null | null |
app/db/errors.py
|
dormantman/simple-insurance
|
fe54aa75fcecebc222d3e8ce734ff8aed737d6fe
|
[
"MIT"
] | null | null | null |
app/db/errors.py
|
dormantman/simple-insurance
|
fe54aa75fcecebc222d3e8ce734ff8aed737d6fe
|
[
"MIT"
] | null | null | null |
class EntityDoesNotExist(Exception):
"""Raised when entity was not found in db."""
| 29
| 49
| 0.724138
| 11
| 87
| 5.727273
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16092
| 87
| 2
| 50
| 43.5
| 0.863014
| 0.448276
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
7abb3f6124f66b767f38a00f86fc66a1dd3287d8
| 61
|
py
|
Python
|
django/apps/stories/__init__.py
|
Haakenlid/tassen
|
911a2541c77eca522ba5a723f175786f4f9eb481
|
[
"Apache-2.0"
] | 16
|
2017-03-21T03:53:37.000Z
|
2021-08-14T06:28:02.000Z
|
django/apps/stories/__init__.py
|
universitas/universitas.no
|
911a2541c77eca522ba5a723f175786f4f9eb481
|
[
"Apache-2.0"
] | 104
|
2017-03-25T00:12:46.000Z
|
2021-03-09T22:40:58.000Z
|
django/apps/stories/__init__.py
|
Haakenlid/tassen
|
911a2541c77eca522ba5a723f175786f4f9eb481
|
[
"Apache-2.0"
] | 6
|
2017-03-21T03:53:40.000Z
|
2020-06-07T14:15:38.000Z
|
default_app_config = 'apps.stories.appconf.StoriesAppConfig'
| 30.5
| 60
| 0.852459
| 7
| 61
| 7.142857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04918
| 61
| 1
| 61
| 61
| 0.862069
| 0
| 0
| 0
| 0
| 0
| 0.606557
| 0.606557
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8914c942a79705f0b8bef015e1bd257bb376415d
| 81
|
py
|
Python
|
tests/test_models.py
|
ibm-skills-network/edx-course-team-api
|
662a756f61047bd2f1c10ede2feb6f1a24c2717d
|
[
"MIT"
] | null | null | null |
tests/test_models.py
|
ibm-skills-network/edx-course-team-api
|
662a756f61047bd2f1c10ede2feb6f1a24c2717d
|
[
"MIT"
] | null | null | null |
tests/test_models.py
|
ibm-skills-network/edx-course-team-api
|
662a756f61047bd2f1c10ede2feb6f1a24c2717d
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
"""
Tests for the `edx_course_team_api` models module.
"""
| 16.2
| 50
| 0.703704
| 13
| 81
| 4.153846
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123457
| 81
| 4
| 51
| 20.25
| 0.760563
| 0.876543
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 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
| 4
|
64e6e31d5c41cc07f8c9aba65377e2e39c115afd
| 240
|
py
|
Python
|
qri/version_info.py
|
xxristoskk/qri-python
|
148a659ba5d1c1c46aa66ab9b21cbcb1aec26747
|
[
"MIT"
] | null | null | null |
qri/version_info.py
|
xxristoskk/qri-python
|
148a659ba5d1c1c46aa66ab9b21cbcb1aec26747
|
[
"MIT"
] | null | null | null |
qri/version_info.py
|
xxristoskk/qri-python
|
148a659ba5d1c1c46aa66ab9b21cbcb1aec26747
|
[
"MIT"
] | null | null | null |
from .util import set_fields
class VersionInfo(object):
def __init__(self, obj):
set_fields(self, obj, ['bodySize', 'bodyRows', 'bodyFormat', 'numErrors', 'commitTime'])
def __repr__(self):
return 'VersionInfo()'
| 24
| 96
| 0.658333
| 26
| 240
| 5.692308
| 0.730769
| 0.121622
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195833
| 240
| 9
| 97
| 26.666667
| 0.766839
| 0
| 0
| 0
| 0
| 0
| 0.241667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.166667
| 0.833333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
8f0637079ea2748685472bd6abb4d06c5e5d140f
| 209
|
py
|
Python
|
tests/test_connectors.py
|
aaronhackney/pycdo
|
0c0b938b74dbc0ab45a1ed7926c2d5e2f8651e7a
|
[
"MIT"
] | null | null | null |
tests/test_connectors.py
|
aaronhackney/pycdo
|
0c0b938b74dbc0ab45a1ed7926c2d5e2f8651e7a
|
[
"MIT"
] | 1
|
2022-03-17T22:38:44.000Z
|
2022-03-17T22:38:44.000Z
|
tests/test_connectors.py
|
aaronhackney/pycdo
|
0c0b938b74dbc0ab45a1ed7926c2d5e2f8651e7a
|
[
"MIT"
] | null | null | null |
from pycdo import CDOClient
from datetime import datetime
class TestConnectors:
def test_get_connectors(self, cdo_client: CDOClient):
sdc_list = cdo_client.get_sdc_list()
assert sdc_list
| 23.222222
| 57
| 0.755981
| 28
| 209
| 5.357143
| 0.607143
| 0.14
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.196172
| 209
| 8
| 58
| 26.125
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8f08050084b78c719b9ebf660f2871ee87c187fc
| 628
|
py
|
Python
|
tasks.py
|
jefftriplett/django-rq-email-backend
|
674e48ab086d31ea5837fc12dd267c3b20d0fab1
|
[
"BSD-3-Clause"
] | 10
|
2015-01-25T22:11:51.000Z
|
2021-01-06T07:07:59.000Z
|
tasks.py
|
jefftriplett/django-rq-email-backend
|
674e48ab086d31ea5837fc12dd267c3b20d0fab1
|
[
"BSD-3-Clause"
] | null | null | null |
tasks.py
|
jefftriplett/django-rq-email-backend
|
674e48ab086d31ea5837fc12dd267c3b20d0fab1
|
[
"BSD-3-Clause"
] | 4
|
2015-05-11T16:34:37.000Z
|
2018-09-26T17:38:39.000Z
|
from invoke import run, task
@task
def clean():
run('cd docs && make clean')
@task
def docs():
run('cd docs && make html')
@task
def package():
run('python setup.py sdist')
run('python setup.py bdist_wheel')
@task
def package_upload():
run('python setup.py sdist upload')
run('python setup.py bdist_wheel upload')
@task
def package_test():
run('python setup.py sdist -r test')
run('python setup.py bdist_wheel -r test')
def package_test_upload():
run('python setup.py sdist upload -r test')
run('python setup.py bdist_wheel upload -r test')
@task
def test():
run('tox')
| 15.7
| 53
| 0.652866
| 97
| 628
| 4.14433
| 0.226804
| 0.179104
| 0.278607
| 0.318408
| 0.59204
| 0.477612
| 0.412935
| 0.154229
| 0
| 0
| 0
| 0
| 0.207006
| 628
| 39
| 54
| 16.102564
| 0.807229
| 0
| 0
| 0.24
| 0
| 0
| 0.471338
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.28
| true
| 0
| 0.04
| 0
| 0.32
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8f5c5c60dfa99185ae595eefb3b76425d9cb750f
| 341
|
py
|
Python
|
Auto Tests/fixture/menu.py
|
novdima-github/barantcev-training
|
c8ce9ece5e83f29a819570ad58383047271d906b
|
[
"Apache-2.0"
] | null | null | null |
Auto Tests/fixture/menu.py
|
novdima-github/barantcev-training
|
c8ce9ece5e83f29a819570ad58383047271d906b
|
[
"Apache-2.0"
] | null | null | null |
Auto Tests/fixture/menu.py
|
novdima-github/barantcev-training
|
c8ce9ece5e83f29a819570ad58383047271d906b
|
[
"Apache-2.0"
] | null | null | null |
class MenuHelper:
def __init__(self, app):
self.app = app
def check_menu_items(self):
driver = self.app.driver
driver.find_element_by_partial_link_text('Dashboard').click()
driver.find_element_by_partial_link_text('Feedback').click()
driver.find_element_by_partial_link_text('Sales').click()
| 34.1
| 69
| 0.70088
| 45
| 341
| 4.844444
| 0.444444
| 0.09633
| 0.233945
| 0.261468
| 0.513761
| 0.513761
| 0.513761
| 0.357798
| 0
| 0
| 0
| 0
| 0.190616
| 341
| 9
| 70
| 37.888889
| 0.789855
| 0
| 0
| 0
| 0
| 0
| 0.064516
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.375
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8f6401be42d7dd50d18f2b8d1799c2beb3b282bc
| 178
|
py
|
Python
|
examples/fit_on_screen.py
|
MrTeferi/photoshop-python-api
|
3467c345c836e0515af793d365edb83fe9166643
|
[
"MIT"
] | 270
|
2020-04-11T22:41:20.000Z
|
2022-03-29T09:16:43.000Z
|
examples/fit_on_screen.py
|
MrTeferi/photoshop-python-api
|
3467c345c836e0515af793d365edb83fe9166643
|
[
"MIT"
] | 67
|
2020-04-18T08:12:34.000Z
|
2022-03-31T16:51:56.000Z
|
examples/fit_on_screen.py
|
MrTeferi/photoshop-python-api
|
3467c345c836e0515af793d365edb83fe9166643
|
[
"MIT"
] | 32
|
2020-05-13T10:51:04.000Z
|
2022-03-19T02:53:43.000Z
|
"""Let the current document Fit on screen."""
# Import local modules
from photoshop import Session
with Session() as ps:
ps.app.runMenuItem(ps.app.charIDToTypeID("FtOn"))
| 19.777778
| 53
| 0.730337
| 25
| 178
| 5.2
| 0.8
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151685
| 178
| 8
| 54
| 22.25
| 0.860927
| 0.342697
| 0
| 0
| 0
| 0
| 0.036036
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 4
|
56c0dfeea36f82c7bb09da89dc904ac4b9c449e5
| 52
|
py
|
Python
|
src/suton/tonlibs/tonliteclient/exceptions/base.py
|
jarig/suton
|
a946779bdee61f62de28da666ce01dba03ab9128
|
[
"MIT"
] | 4
|
2020-08-24T21:20:21.000Z
|
2021-02-20T16:53:11.000Z
|
src/suton/tonlibs/tonliteclient/exceptions/base.py
|
jarig/suton
|
a946779bdee61f62de28da666ce01dba03ab9128
|
[
"MIT"
] | null | null | null |
src/suton/tonlibs/tonliteclient/exceptions/base.py
|
jarig/suton
|
a946779bdee61f62de28da666ce01dba03ab9128
|
[
"MIT"
] | null | null | null |
class TonLiteClientException(Exception):
pass
| 10.4
| 40
| 0.769231
| 4
| 52
| 10
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173077
| 52
| 4
| 41
| 13
| 0.930233
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
56cec8e34c65bd3cfb4cea7fc6cb83cc0f6b178e
| 109
|
py
|
Python
|
karp/tests/e2e/test_health_api.py
|
spraakbanken/karp-backend-v6-tmp
|
e5b78157bd999df18c188973ae2a337015b6f35d
|
[
"MIT"
] | 1
|
2021-12-08T15:33:42.000Z
|
2021-12-08T15:33:42.000Z
|
karp/tests/e2e/test_health_api.py
|
spraakbanken/karp-backend-v6-tmp
|
e5b78157bd999df18c188973ae2a337015b6f35d
|
[
"MIT"
] | null | null | null |
karp/tests/e2e/test_health_api.py
|
spraakbanken/karp-backend-v6-tmp
|
e5b78157bd999df18c188973ae2a337015b6f35d
|
[
"MIT"
] | null | null | null |
def test_healthz(fa_client):
response = fa_client.get("/healthz")
assert response.status_code == 200
| 27.25
| 40
| 0.724771
| 15
| 109
| 5
| 0.733333
| 0.213333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032609
| 0.155963
| 109
| 3
| 41
| 36.333333
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0.073395
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.333333
| 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
| 0
| 0
| 0
|
0
| 4
|
56d7ea9bc6d982880a1adf032421005bb10d62bb
| 78
|
py
|
Python
|
test_codes/func_sys.py
|
EmersonAires/Introduction_to_Computer_Science_and_Programming-_in_Python
|
9fdc8e3e6665ef5f17d25e0c1db144461ccacab7
|
[
"MIT"
] | 2
|
2021-09-08T00:23:55.000Z
|
2021-11-14T18:33:41.000Z
|
test_codes/func_sys.py
|
EmersonAires/Introduction_to_Computer_Science_and_Programming-_in_Python
|
9fdc8e3e6665ef5f17d25e0c1db144461ccacab7
|
[
"MIT"
] | null | null | null |
test_codes/func_sys.py
|
EmersonAires/Introduction_to_Computer_Science_and_Programming-_in_Python
|
9fdc8e3e6665ef5f17d25e0c1db144461ccacab7
|
[
"MIT"
] | null | null | null |
import sys
def print_path():
for line in sys.path:
print(line)
| 9.75
| 25
| 0.602564
| 12
| 78
| 3.833333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.307692
| 78
| 7
| 26
| 11.142857
| 0.851852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
56f01d4e9c8953e84c5587668e30b3dd842c30d2
| 121
|
py
|
Python
|
viewsets/apps.py
|
kindlycat/django-view-sets
|
32d28ca9b3d91472d1a71b3eeaadecdab953cf5b
|
[
"BSD-3-Clause"
] | null | null | null |
viewsets/apps.py
|
kindlycat/django-view-sets
|
32d28ca9b3d91472d1a71b3eeaadecdab953cf5b
|
[
"BSD-3-Clause"
] | null | null | null |
viewsets/apps.py
|
kindlycat/django-view-sets
|
32d28ca9b3d91472d1a71b3eeaadecdab953cf5b
|
[
"BSD-3-Clause"
] | null | null | null |
from django.apps import AppConfig
class ViewsetsConfig(AppConfig):
name = 'viewsets'
verbose_name = 'viewsets'
| 17.285714
| 33
| 0.735537
| 13
| 121
| 6.769231
| 0.769231
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 121
| 6
| 34
| 20.166667
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0.132231
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
56f2522f6f2bd35dbfbe85091377153fd7dbf630
| 177
|
py
|
Python
|
example/main.py
|
Jezza672/zest
|
5beaa3ab0661d1bd528154fd5d63f1d422ad49d1
|
[
"MIT"
] | null | null | null |
example/main.py
|
Jezza672/zest
|
5beaa3ab0661d1bd528154fd5d63f1d422ad49d1
|
[
"MIT"
] | null | null | null |
example/main.py
|
Jezza672/zest
|
5beaa3ab0661d1bd528154fd5d63f1d422ad49d1
|
[
"MIT"
] | null | null | null |
from zest import Testable
def squared(x):
return x*x
@Testable
def summed(x, y):
return x + y
if __name__ == "__main__":
print(squared(5))
print(summed(5, 7))
| 14.75
| 26
| 0.632768
| 28
| 177
| 3.714286
| 0.571429
| 0.211538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022059
| 0.231638
| 177
| 12
| 27
| 14.75
| 0.742647
| 0
| 0
| 0
| 0
| 0
| 0.044944
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.222222
| 0.555556
| 0.222222
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
7109ff3114b621405500f3c181557d609d18ffe3
| 226
|
py
|
Python
|
blog-v03-crud/schemas.py
|
ivanmmarkovic/fastapi-blog
|
366466242f95ea9dffdabaa5fdbd954795a1abc0
|
[
"MIT"
] | null | null | null |
blog-v03-crud/schemas.py
|
ivanmmarkovic/fastapi-blog
|
366466242f95ea9dffdabaa5fdbd954795a1abc0
|
[
"MIT"
] | null | null | null |
blog-v03-crud/schemas.py
|
ivanmmarkovic/fastapi-blog
|
366466242f95ea9dffdabaa5fdbd954795a1abc0
|
[
"MIT"
] | null | null | null |
from typing import Optional
from pydantic import BaseModel
from pydantic.types import SecretStr
class Article(BaseModel):
title: str
body: str
class User(BaseModel):
name: str
email: str
password: str
| 14.125
| 36
| 0.721239
| 29
| 226
| 5.62069
| 0.586207
| 0.147239
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.225664
| 226
| 15
| 37
| 15.066667
| 0.931429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.1
| 0.3
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
710f06f98a8c2ec77d80f0155309baf899191c94
| 328
|
py
|
Python
|
tool/models.py
|
shanmukmichael/Asset-Discovery-Tool
|
82c3f2f5cecb394a1ad87b2e504fbef219a466fd
|
[
"MIT"
] | null | null | null |
tool/models.py
|
shanmukmichael/Asset-Discovery-Tool
|
82c3f2f5cecb394a1ad87b2e504fbef219a466fd
|
[
"MIT"
] | null | null | null |
tool/models.py
|
shanmukmichael/Asset-Discovery-Tool
|
82c3f2f5cecb394a1ad87b2e504fbef219a466fd
|
[
"MIT"
] | null | null | null |
from . import db
class Scan(db.Model):
# primary keys are required by SQLAlchemy
ID = db.Column(db.Integer, primary_key=True)
Hostname = db.Column(db.String(100))
IP = db.Column(db.String(100))
MAC = db.Column(db.String(100))
Lastseen = db.Column(db.String(100))
Status = db.Column(db.String(100))
| 27.333333
| 48
| 0.664634
| 51
| 328
| 4.254902
| 0.470588
| 0.221198
| 0.276498
| 0.368664
| 0.437788
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056391
| 0.189024
| 328
| 11
| 49
| 29.818182
| 0.759399
| 0.118902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
852f2aee2d2a12761725e2bf5907c15445196314
| 70
|
py
|
Python
|
src/hyperad/errors.py
|
huykingsofm/hyperad
|
f0de456a9d9550492263b134fad612fa8954f1f3
|
[
"MIT"
] | null | null | null |
src/hyperad/errors.py
|
huykingsofm/hyperad
|
f0de456a9d9550492263b134fad612fa8954f1f3
|
[
"MIT"
] | null | null | null |
src/hyperad/errors.py
|
huykingsofm/hyperad
|
f0de456a9d9550492263b134fad612fa8954f1f3
|
[
"MIT"
] | null | null | null |
class ParseError(Exception): ...
class DuplicateValue(Exception): ...
| 23.333333
| 36
| 0.742857
| 6
| 70
| 8.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085714
| 70
| 2
| 37
| 35
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
857948c28946ae72bc76bbe47a60a16f947f5e2f
| 187
|
py
|
Python
|
patients/apps.py
|
michael-xander/communique-webapp
|
85b450d7f6d0313c5e5ef53a262a850b7e93c3d6
|
[
"MIT"
] | null | null | null |
patients/apps.py
|
michael-xander/communique-webapp
|
85b450d7f6d0313c5e5ef53a262a850b7e93c3d6
|
[
"MIT"
] | null | null | null |
patients/apps.py
|
michael-xander/communique-webapp
|
85b450d7f6d0313c5e5ef53a262a850b7e93c3d6
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class PatientsConfig(AppConfig):
name = 'patients'
def ready(self):
import patients.signals # register receiver functions for signals
| 20.777778
| 73
| 0.73262
| 21
| 187
| 6.52381
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.203209
| 187
| 8
| 74
| 23.375
| 0.919463
| 0.208556
| 0
| 0
| 0
| 0
| 0.054795
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a427b18d51ded15be9f2d4136ff24862618d8295
| 192
|
py
|
Python
|
kor2vec/__init__.py
|
sujoung/kor2vec
|
2cd0b6e60e3f5ca1fc32ea4bd6b40b7a21dfa52e
|
[
"Apache-2.0"
] | 175
|
2018-10-10T09:52:09.000Z
|
2021-11-15T11:15:05.000Z
|
kor2vec/__init__.py
|
sayduke/kor2vec
|
2cd0b6e60e3f5ca1fc32ea4bd6b40b7a21dfa52e
|
[
"Apache-2.0"
] | 2
|
2019-01-05T07:06:29.000Z
|
2019-09-06T02:53:38.000Z
|
kor2vec/__init__.py
|
sayduke/kor2vec
|
2cd0b6e60e3f5ca1fc32ea4bd6b40b7a21dfa52e
|
[
"Apache-2.0"
] | 32
|
2018-10-12T06:49:30.000Z
|
2021-06-21T07:44:38.000Z
|
from .kor2vec import Kor2Vec
from .context_kor2vec import ContextKor2Vec
from .model.vocab import *
# from .pretrained import SejongVector
import warnings
warnings.filterwarnings("ignore")
| 19.2
| 43
| 0.817708
| 22
| 192
| 7.090909
| 0.545455
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023669
| 0.119792
| 192
| 9
| 44
| 21.333333
| 0.899408
| 0.1875
| 0
| 0
| 0
| 0
| 0.038961
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.8
| 0
| 0.8
| 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
| 0
| 0
|
0
| 4
|
a45da188a6d1651807201da4ac7ba01b4ce6b35d
| 150
|
py
|
Python
|
nsd1805/python/day09/myfork.py
|
MrWangwf/nsd1806
|
069e993b0bb64cb21adc2a25aa56f6da674453bc
|
[
"Apache-2.0"
] | null | null | null |
nsd1805/python/day09/myfork.py
|
MrWangwf/nsd1806
|
069e993b0bb64cb21adc2a25aa56f6da674453bc
|
[
"Apache-2.0"
] | null | null | null |
nsd1805/python/day09/myfork.py
|
MrWangwf/nsd1806
|
069e993b0bb64cb21adc2a25aa56f6da674453bc
|
[
"Apache-2.0"
] | null | null | null |
import os
print('hello world!')
pid = os.fork()
if pid:
print('hello from parent')
else:
print('hello from child')
print('hello from both')
| 13.636364
| 30
| 0.653333
| 23
| 150
| 4.26087
| 0.565217
| 0.408163
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193333
| 150
| 10
| 31
| 15
| 0.809917
| 0
| 0
| 0
| 0
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
a45de61816968a7a48765a14c1b87106498a4e95
| 399
|
py
|
Python
|
apps/arrivals/tests.py
|
HON95/studlan
|
8dc38c64d0060506d865b9c834466fed2f9f9571
|
[
"MIT"
] | 9
|
2016-03-15T21:03:49.000Z
|
2020-12-02T19:45:44.000Z
|
apps/arrivals/tests.py
|
HON95/studlan
|
8dc38c64d0060506d865b9c834466fed2f9f9571
|
[
"MIT"
] | 161
|
2016-02-05T14:11:50.000Z
|
2020-10-14T10:13:21.000Z
|
apps/arrivals/tests.py
|
HON95/studlan
|
8dc38c64d0060506d865b9c834466fed2f9f9571
|
[
"MIT"
] | 11
|
2016-07-27T12:20:05.000Z
|
2021-04-18T05:49:17.000Z
|
# -*- coding: utf-8 -*-
from django.test import TestCase
from .views import flip_string_bool
class ArrivalsTests(TestCase):
def test_views_flip_string_bool(self):
self.assertEqual(flip_string_bool('True'), False)
self.assertEqual(flip_string_bool('False'), True)
self.assertEqual(flip_string_bool('alpha'), None)
self.assertEqual(flip_string_bool(''), None)
| 26.6
| 57
| 0.711779
| 51
| 399
| 5.294118
| 0.411765
| 0.222222
| 0.311111
| 0.37037
| 0.42963
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003003
| 0.165414
| 399
| 14
| 58
| 28.5
| 0.807808
| 0.052632
| 0
| 0
| 0
| 0
| 0.037234
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.125
| false
| 0
| 0.25
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a46f6b8bf20ef5b4a06b80f69a6ed80f5233feba
| 182
|
py
|
Python
|
Rota_System/Reporting/__init__.py
|
ergoregion/Rota-Program
|
44dab4cb11add184619d88aa0fcab61532d128e6
|
[
"MIT"
] | null | null | null |
Rota_System/Reporting/__init__.py
|
ergoregion/Rota-Program
|
44dab4cb11add184619d88aa0fcab61532d128e6
|
[
"MIT"
] | null | null | null |
Rota_System/Reporting/__init__.py
|
ergoregion/Rota-Program
|
44dab4cb11add184619d88aa0fcab61532d128e6
|
[
"MIT"
] | null | null | null |
__author__ = 'Neil Butcher'
#visitors to produce reports about aspects of a duration
from Event import EventReporter
from Role import RoleReporter
from Person import PersonReporter
| 26
| 56
| 0.835165
| 24
| 182
| 6.166667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 182
| 7
| 57
| 26
| 0.948718
| 0.302198
| 0
| 0
| 0
| 0
| 0.094488
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a48d25aba2a587bd58a87c29c2a2d4f4710854d9
| 810
|
py
|
Python
|
src/gluonts/nursery/torch_arsgls_rbpf/torch_extensions/affine.py
|
richardk53/gluon-ts
|
5bde492198c0348b550ac6f7269f1740a699ec30
|
[
"Apache-2.0"
] | null | null | null |
src/gluonts/nursery/torch_arsgls_rbpf/torch_extensions/affine.py
|
richardk53/gluon-ts
|
5bde492198c0348b550ac6f7269f1740a699ec30
|
[
"Apache-2.0"
] | null | null | null |
src/gluonts/nursery/torch_arsgls_rbpf/torch_extensions/affine.py
|
richardk53/gluon-ts
|
5bde492198c0348b550ac6f7269f1740a699ec30
|
[
"Apache-2.0"
] | null | null | null |
from typing import Union
import torch
from torch import nn
class Affine(nn.Module):
def __init__(
self,
loc: Union[float, torch.Tensor],
scale: Union[float, torch.Tensor],
):
super().__init__()
self.loc = loc
self.scale = scale
def forward(self, x: torch.Tensor):
return self.loc + self.scale * x
class Bias(nn.Module):
def __init__(
self, loc: Union[float, torch.Tensor],
):
super().__init__()
self.loc = loc
def forward(self, x: torch.Tensor):
return self.loc + x
class Factor(nn.Module):
def __init__(
self, scale: Union[float, torch.Tensor],
):
super().__init__()
self.scale = scale
def forward(self, x: torch.Tensor):
return self.scale * x
| 20.25
| 48
| 0.576543
| 101
| 810
| 4.386139
| 0.217822
| 0.173815
| 0.099323
| 0.189616
| 0.781038
| 0.738149
| 0.738149
| 0.738149
| 0.647856
| 0.419865
| 0
| 0
| 0.303704
| 810
| 39
| 49
| 20.769231
| 0.785461
| 0
| 0
| 0.533333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.1
| 0.1
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a49f6536d1690cacec08bd5ff904c452f0b4122c
| 49
|
py
|
Python
|
docViewer/__init__.py
|
zlqm/showDoc
|
d0a2041922bc6384a784820c85a3533c7b2233fb
|
[
"MIT"
] | null | null | null |
docViewer/__init__.py
|
zlqm/showDoc
|
d0a2041922bc6384a784820c85a3533c7b2233fb
|
[
"MIT"
] | null | null | null |
docViewer/__init__.py
|
zlqm/showDoc
|
d0a2041922bc6384a784820c85a3533c7b2233fb
|
[
"MIT"
] | null | null | null |
from .render import render
__all__ = ['render']
| 12.25
| 26
| 0.714286
| 6
| 49
| 5.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163265
| 49
| 3
| 27
| 16.333333
| 0.756098
| 0
| 0
| 0
| 0
| 0
| 0.122449
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
a4a111ac5e07a0cdcbd957ce02da662f2d6252d0
| 498
|
py
|
Python
|
gym_electric_motor/envs/gym_dcm/permex_dc_motor_env/__init__.py
|
RaviPandey33/gym-electric-motor-1
|
999e18dceed709decf43d646fb29dc7602b9a89c
|
[
"MIT"
] | 179
|
2019-10-21T15:08:05.000Z
|
2022-03-29T08:46:13.000Z
|
gym_electric_motor/envs/gym_dcm/permex_dc_motor_env/__init__.py
|
RaviPandey33/gym-electric-motor-1
|
999e18dceed709decf43d646fb29dc7602b9a89c
|
[
"MIT"
] | 149
|
2019-12-16T16:02:00.000Z
|
2022-03-18T19:42:33.000Z
|
gym_electric_motor/envs/gym_dcm/permex_dc_motor_env/__init__.py
|
RaviPandey33/gym-electric-motor-1
|
999e18dceed709decf43d646fb29dc7602b9a89c
|
[
"MIT"
] | 36
|
2019-12-10T17:32:02.000Z
|
2022-03-16T20:54:18.000Z
|
from .cont_cc_permex_dc_env import ContCurrentControlDcPermanentlyExcitedMotorEnv
from .cont_tc_permex_dc_env import ContTorqueControlDcPermanentlyExcitedMotorEnv
from .cont_sc_permex_dc_env import ContSpeedControlDcPermanentlyExcitedMotorEnv
from .finite_tc_permex_dc_env import FiniteTorqueControlDcPermanentlyExcitedMotorEnv
from .finite_sc_permex_dc_env import FiniteSpeedControlDcPermanentlyExcitedMotorEnv
from .finite_cc_permex_dc_env import FiniteCurrentControlDcPermanentlyExcitedMotorEnv
| 71.142857
| 85
| 0.939759
| 48
| 498
| 9.25
| 0.333333
| 0.108108
| 0.148649
| 0.22973
| 0.256757
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 498
| 6
| 86
| 83
| 0.936709
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
a4a5e59b40854e45a8d9bb20ff071e08a0531271
| 1,081
|
py
|
Python
|
ClassicMedium/Bender/test_completable.py
|
RevDownie/CodinGameSolutions
|
af7d0ef4b38007766c3b121ea14be59eec26541c
|
[
"MIT"
] | null | null | null |
ClassicMedium/Bender/test_completable.py
|
RevDownie/CodinGameSolutions
|
af7d0ef4b38007766c3b121ea14be59eec26541c
|
[
"MIT"
] | null | null | null |
ClassicMedium/Bender/test_completable.py
|
RevDownie/CodinGameSolutions
|
af7d0ef4b38007766c3b121ea14be59eec26541c
|
[
"MIT"
] | null | null | null |
# Test that allows Bender to reach the goal while testing all possible rules
import core
SAMPLE_INPUT_DIMS = '15 15'
SAMPLE_INPUT_GRID_LINES = [
'###############',
'# IXXXXX #',
'# @ #',
'# #',
'# #',
'# I #',
'# B #',
'# B S W#',
'# B T #',
'# #',
'# T #',
'# B #',
'# $#',
'# XXXX #',
'###############']
SAMPLE_EXPECTED_OUTPUT_LINES = [
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'WEST',
'WEST',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'NORTH',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'EAST',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'SOUTH',
'WEST',
'WEST',
'WEST',
'WEST',
'WEST',
'WEST',
'SOUTH',
'SOUTH',
'SOUTH',
'EAST',
'EAST',
'EAST'
]
h, w = core.parse_dims(SAMPLE_INPUT_DIMS)
grid = core.parse_grid(SAMPLE_INPUT_GRID_LINES, w, h)
core.run(grid, SAMPLE_EXPECTED_OUTPUT_LINES)
| 12.869048
| 76
| 0.490287
| 119
| 1,081
| 4.302521
| 0.310924
| 0.332031
| 0.410156
| 0.429688
| 0.439453
| 0.408203
| 0.408203
| 0.408203
| 0.318359
| 0.318359
| 0
| 0.004872
| 0.240518
| 1,081
| 83
| 77
| 13.024096
| 0.618758
| 0.068455
| 0
| 0.75641
| 0
| 0
| 0.479602
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.012821
| 0
| 0.012821
| 0
| 0
| 0
| 0
| null | 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f11407b881a87bb8ab16f19379073669fba09d32
| 4,040
|
py
|
Python
|
src/RPFramework/RPFrameworkNonCommChildDevice.py
|
RogueProeliator/IndigoPlugins-RPFramework
|
c6c6c570f5fe3a4ae63a1f5fe5349ce97289e9b1
|
[
"MIT"
] | 1
|
2016-10-01T00:54:46.000Z
|
2016-10-01T00:54:46.000Z
|
src/RPFramework/RPFrameworkNonCommChildDevice.py
|
RogueProeliator/IndigoPlugins-RPFramework
|
c6c6c570f5fe3a4ae63a1f5fe5349ce97289e9b1
|
[
"MIT"
] | 1
|
2022-01-18T22:24:01.000Z
|
2022-01-18T22:24:01.000Z
|
src/RPFramework/RPFrameworkNonCommChildDevice.py
|
RogueProeliator/IndigoPlugins-RPFramework
|
c6c6c570f5fe3a4ae63a1f5fe5349ce97289e9b1
|
[
"MIT"
] | null | null | null |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#/////////////////////////////////////////////////////////////////////////////////////////
#/////////////////////////////////////////////////////////////////////////////////////////
# RPFrameworkNonCommChildDevice by RogueProeliator <adam.d.ashe@gmail.com>
# Base class for all RogueProeliator's devices which do not actively communicate but
# rather function to pass commands along to a parent device; examples would be zones indigo
# a multi-room audio system or zones in an alarm panel
#/////////////////////////////////////////////////////////////////////////////////////////
#/////////////////////////////////////////////////////////////////////////////////////////
#/////////////////////////////////////////////////////////////////////////////////////////
#region Python imports
from __future__ import absolute_import
import sys
if sys.version_info > (3,):
import queue as Queue
else:
import Queue
try:
import indigo
except:
pass
from .RPFrameworkCommand import RPFrameworkCommand
from .RPFrameworkPlugin import RPFrameworkPlugin
from .RPFrameworkDevice import RPFrameworkDevice
from .RPFrameworkUtils import to_unicode
#endregion
#/////////////////////////////////////////////////////////////////////////////////////////
#/////////////////////////////////////////////////////////////////////////////////////////
#/////////////////////////////////////////////////////////////////////////////////////////
# RPFrameworkNonCommChildDevice
# Base class for all RogueProeliator's devices which do not actively communicate but
# rather function to pass commands along to a parent device.
#
# This function inherits the standard (communicating) device and disables those
# functions (they should be present since the plugin will call them during the lifecycle
# of the device)
#/////////////////////////////////////////////////////////////////////////////////////////
#/////////////////////////////////////////////////////////////////////////////////////////
class RPFrameworkNonCommChildDevice(RPFrameworkDevice):
#/////////////////////////////////////////////////////////////////////////////////////
#region Construction and Destruction Methods
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
# Constructor called once upon plugin class receiving a command to start device
# communication. The plugin will call other commands when needed, simply zero out the
# member variables
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
def __init__(self, plugin, device):
super(RPFrameworkNonCommChildDevice, self).__init__(plugin, device)
#/////////////////////////////////////////////////////////////////////////////////////
# Disabled communications functions
#/////////////////////////////////////////////////////////////////////////////////////
def initiateCommunications(self):
super(RPFrameworkNonCommChildDevice, self).initiateCommunications(initializeConnect=False)
def terminateCommunications(self):
pass
#endregion
#/////////////////////////////////////////////////////////////////////////////////////
#/////////////////////////////////////////////////////////////////////////////////////
#region Queue and Command Processing Methods
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
# Add new command to queue of the PARENT object... this must be obtained from the
# plugin...
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
def queueDeviceCommand(self, command):
parentDeviceId = int(self.indigoDevice.pluginProps[self.hostPlugin.getGUIConfigValue(self.indigoDevice.deviceTypeId, RPFrameworkPlugin.GUI_CONFIG_PARENTDEVICEIDPROPERTYNAME, u'')])
if parentDeviceId in self.hostPlugin.managedDevices:
self.hostPlugin.managedDevices[parentDeviceId].queueDeviceCommand(command)
#endregion
#/////////////////////////////////////////////////////////////////////////////////////
| 48.674699
| 182
| 0.449505
| 268
| 4,040
| 6.712687
| 0.522388
| 0.015008
| 0.013341
| 0.016676
| 0.131184
| 0.131184
| 0.131184
| 0.131184
| 0.131184
| 0.131184
| 0
| 0.000539
| 0.081931
| 4,040
| 83
| 183
| 48.674699
| 0.484497
| 0.711139
| 0
| 0.08
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.16
| false
| 0.08
| 0.36
| 0
| 0.56
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
f14359795f0e471118229038a9c6a5036eb032ba
| 74
|
py
|
Python
|
cca_zoo/utils/__init__.py
|
raamana/cca_zoo
|
7137918a6bac098ec20ba998d1774d5335c178dd
|
[
"MIT"
] | 1
|
2021-06-19T13:57:44.000Z
|
2021-06-19T13:57:44.000Z
|
cca_zoo/utils/__init__.py
|
raamana/cca_zoo
|
7137918a6bac098ec20ba998d1774d5335c178dd
|
[
"MIT"
] | null | null | null |
cca_zoo/utils/__init__.py
|
raamana/cca_zoo
|
7137918a6bac098ec20ba998d1774d5335c178dd
|
[
"MIT"
] | null | null | null |
from .check_values import *
from .plot_utils import cv_plot, plot_results
| 24.666667
| 45
| 0.824324
| 12
| 74
| 4.75
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121622
| 74
| 2
| 46
| 37
| 0.876923
| 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
| 0
| 0
|
0
| 4
|
f158f0245d1b51b47d6f258ee2cbcdaddd580b17
| 113
|
py
|
Python
|
kite-go/lang/python/pythonbatch/testdata/kite.py
|
kiteco/kiteco-public
|
74aaf5b9b0592153b92f7ed982d65e15eea885e3
|
[
"BSD-3-Clause"
] | 17
|
2022-01-10T11:01:50.000Z
|
2022-03-25T03:21:08.000Z
|
kite-go/lang/python/pythonbatch/testdata/kite.py
|
kiteco/kiteco-public
|
74aaf5b9b0592153b92f7ed982d65e15eea885e3
|
[
"BSD-3-Clause"
] | 1
|
2022-01-13T14:28:47.000Z
|
2022-01-13T14:28:47.000Z
|
kite-go/lang/python/pythonbatch/testdata/kite.py
|
kiteco/kiteco-public
|
74aaf5b9b0592153b92f7ed982d65e15eea885e3
|
[
"BSD-3-Clause"
] | 7
|
2022-01-07T03:58:10.000Z
|
2022-03-24T07:38:20.000Z
|
class Kite(object):
def __init__(self):
self.code = "kite"
def foo(self):
print("bar!")
| 18.833333
| 27
| 0.530973
| 14
| 113
| 4
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.309735
| 113
| 5
| 28
| 22.6
| 0.717949
| 0
| 0
| 0
| 0
| 0
| 0.070796
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0
| 0.6
| 0.2
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
f176fdc679daf7f3b224cbc3bd62258fb827139a
| 40
|
py
|
Python
|
src/aqi_livibility_analysis/__init__.py
|
tconbeer/aqi_livibility_analysis
|
8004f3383897d9066e3167fdfddcdd4c8418b7ea
|
[
"Apache-2.0"
] | null | null | null |
src/aqi_livibility_analysis/__init__.py
|
tconbeer/aqi_livibility_analysis
|
8004f3383897d9066e3167fdfddcdd4c8418b7ea
|
[
"Apache-2.0"
] | 1
|
2021-10-01T21:40:35.000Z
|
2021-10-01T21:40:35.000Z
|
src/aqi_livibility_analysis/__init__.py
|
tconbeer/aqi_livibility_analysis
|
8004f3383897d9066e3167fdfddcdd4c8418b7ea
|
[
"Apache-2.0"
] | null | null | null |
GCP_PROJECT = "aqi-livibility-analysis"
| 20
| 39
| 0.8
| 5
| 40
| 6.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075
| 40
| 1
| 40
| 40
| 0.837838
| 0
| 0
| 0
| 0
| 0
| 0.575
| 0.575
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f18037c556e28f19fed5b37e4983faac4c025c88
| 91
|
py
|
Python
|
api/folioman/apps.py
|
Kk-ships/folioman
|
b9bb1782cf6a01ee9e438b5b2a41216036b4cc91
|
[
"MIT"
] | 19
|
2021-05-10T15:13:28.000Z
|
2022-03-11T10:22:00.000Z
|
api/folioman/apps.py
|
Kk-ships/folioman
|
b9bb1782cf6a01ee9e438b5b2a41216036b4cc91
|
[
"MIT"
] | 5
|
2021-09-06T13:16:54.000Z
|
2022-02-14T18:16:02.000Z
|
api/folioman/apps.py
|
Kk-ships/folioman
|
b9bb1782cf6a01ee9e438b5b2a41216036b4cc91
|
[
"MIT"
] | 8
|
2021-05-29T11:02:26.000Z
|
2022-01-05T08:57:58.000Z
|
from django.apps import AppConfig
class FoliomanConfig(AppConfig):
name = "folioman"
| 15.166667
| 33
| 0.758242
| 10
| 91
| 6.9
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164835
| 91
| 5
| 34
| 18.2
| 0.907895
| 0
| 0
| 0
| 0
| 0
| 0.087912
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
74cf68ed1413195f4c553046cf0f83ec45a3a9a3
| 17,997
|
py
|
Python
|
resources/WPy32/python-3.10.2/Lib/site-packages/Cryptodome/SelfTest/IO/test_PKCS8.py
|
eladkarako/yt-dlp_kit
|
6365651111ef4d2f94335cf38bf4d9b0136d42d2
|
[
"Unlicense"
] | 1
|
2022-03-26T15:43:50.000Z
|
2022-03-26T15:43:50.000Z
|
resources/WPy32/python-3.10.2/Lib/site-packages/Cryptodome/SelfTest/IO/test_PKCS8.py
|
eladkarako/yt-dlp_kit
|
6365651111ef4d2f94335cf38bf4d9b0136d42d2
|
[
"Unlicense"
] | null | null | null |
resources/WPy32/python-3.10.2/Lib/site-packages/Cryptodome/SelfTest/IO/test_PKCS8.py
|
eladkarako/yt-dlp_kit
|
6365651111ef4d2f94335cf38bf4d9b0136d42d2
|
[
"Unlicense"
] | 1
|
2022-03-28T19:28:45.000Z
|
2022-03-28T19:28:45.000Z
|
#
# SelfTest/IO/test_PKCS8.py: Self-test for the PKCS8 module
#
# ===================================================================
#
# Copyright (c) 2014, Legrandin <helderijs@gmail.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in
# the documentation and/or other materials provided with the
# distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
# ===================================================================
"""Self-tests for Cryptodome.IO.PKCS8 module"""
import unittest
from binascii import unhexlify
from Cryptodome.Util.py3compat import *
from Cryptodome.IO import PKCS8
oid_key = '1.2.840.113549.1.1.1'
# Original RSA key (in DER format)
# hexdump -v -e '32/1 "%02x" "\n"' key.der
clear_key="""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"""
# Same key as above, wrapped in PKCS#8 but w/o password
#
# openssl pkcs8 -topk8 -inform DER -nocrypt -in key.der -outform DER -out keyp8.der
# hexdump -v -e '32/1 "%02x" "\n"' keyp8.der
wrapped_clear_key="""
308201c5020100300d06092a864886f70d0101010500048201af308201ab0201
00025a00b94a7f7075ab9e79e8196f47be707781e80dd965cf160c951a870b71
783b6aaabbd550c0e65e5a3dfe15b8620009f6d7e5efec42a3f06fe20faeebb0
c356e79cdec6db4dd427e82d8ae4a5b90996227b8ba54ccfc4d25c0805020301
0001025a00afa09c70d528299b7552fe766b5d20f9a221d66938c3b68371d485
15359863ff96f0978d700e08cd6fd3d8a3f97066fc2e0d5f78eb3a50b8e17ba2
97b24d1b8e9cdfd18d608668198d724ad15863ef0329195dee893f039395022d
0ebe0518df702a8b25954301ec60a97efdcec8eaa4f2e76ca7e88dfbc3f7e0bb
83f9a0e8dc47c0f8c746e9df6b022d0c9195de13f09b7be1fdd71f56ae7d973e
08bd9fd2c3dfd8936bb05be9cc67bd32d663c7f00d70932a0be3c24f022d0ac3
34eb6cabf1933633db007b763227b0d9971a9ea36aca8b669ec94fcf16352f6b
3dcae28e4bd6137db4ddd3022d0400a09f15ee7b351a2481cb0309920905c236
d09c87afd3022f3afc2a19e3b746672b635238956ee7e6dd62d5022d0cd88ed1
4fcfbda5bbf0257f700147137bbab9c797af7df866704b889aa37e2e93df3ff1
a0fd3490111dcdbc4c
"""
###
#
# The key above will now be encrypted with different algorithms.
# The password is always 'TestTest'.
#
# Each item in the wrapped_enc_keys list contains:
# * wrap algorithm
# * iteration count
# * Salt
# * IV
# * Expected result
###
wrapped_enc_keys = []
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der -outform DER -out keyenc.der -v2 des3
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'PBKDF2WithHMAC-SHA1AndDES-EDE3-CBC',
2048,
"47EA7227D8B22E2F", # IV
"E3F7A838AB911A4D", # Salt
"""
30820216304006092a864886f70d01050d3033301b06092a864886f70d01050c
300e0408e3f7a838ab911a4d02020800301406082a864886f70d0307040847ea
7227d8b22e2f048201d0ea388b374d2d0e4ceb7a5139f850fdff274884a6e6c0
64326e09d00dbba9018834edb5a51a6ae3d1806e6e91eebf33788ce71fee0637
a2ebf58859dd32afc644110c390274a6128b50c39b8d907823810ec471bada86
6f5b75d8ea04ad310fad2e73621696db8e426cd511ee93ec1714a1a7db45e036
4bf20d178d1f16bbb250b32c2d200093169d588de65f7d99aad9ddd0104b44f1
326962e1520dfac3c2a800e8a14f678dff2b3d0bb23f69da635bf2a643ac934e
219a447d2f4460b67149e860e54f365da130763deefa649c72b0dcd48966a2d3
4a477444782e3e66df5a582b07bbb19778a79bd355074ce331f4a82eb966b0c4
52a09eab6116f2722064d314ae433b3d6e81d2436e93fdf446112663cde93b87
9c8be44beb45f18e2c78fee9b016033f01ecda51b9b142091fa69f65ab784d2c
5ad8d34be6f7f1464adfc1e0ef3f7848f40d3bdea4412758f2fcb655c93d8f4d
f6fa48fc5aa4b75dd1c017ab79ac9d737233a6d668f5364ccf47786debd37334
9c10c9e6efbe78430a61f71c89948aa32cdc3cc7338cf994147819ce7ab23450
c8f7d9b94c3bb377d17a3fa204b601526317824b142ff6bc843fa7815ece89c0
839573f234dac8d80cc571a045353d61db904a4398d8ef3df5ac
"""
))
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der -outform DER -out keyenc.der
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'skip encryption', # pbeWithMD5AndDES-CBC, only decoding is supported
-1,
"",
"",
"""
308201f1301b06092a864886f70d010503300e0408f9b990c89af1d41b020208
00048201d0c6267fe8592903891933d559e71a7ca68b2e39150f19daca0f7921
52f97e249d72f670d5140e9150433310ed7c7ee51927693fd39884cb9551cea5
a7b746f7edf199f8787d4787a35dad930d7db057b2118851211b645ac8b90fa6
b0e7d49ac8567cbd5fff226e87aa9129a0f52c45e9307752e8575c3b0ff756b7
31fda6942d15ecb6b27ea19370ccc79773f47891e80d22b440d81259c4c28eac
e0ca839524116bcf52d8c566e49a95ddb0e5493437279a770a39fd333f3fca91
55884fad0ba5aaf273121f893059d37dd417da7dcfd0d6fa7494968f13b2cc95
65633f2c891340193e5ec00e4ee0b0e90b3b93da362a4906360845771ade1754
9df79140be5993f3424c012598eadd3e7c7c0b4db2c72cf103d7943a5cf61420
93370b9702386c3dd4eb0a47f34b579624a46a108b2d13921fa1b367495fe345
6aa128aa70f8ca80ae13eb301e96c380724ce67c54380bbea2316c1faf4d058e
b4ca2e23442047606b9bc4b3bf65b432cb271bea4eb35dd3eb360d3be8612a87
a50e96a2264490aeabdc07c6e78e5dbf4fe3388726d0e2a228346bf3c2907d68
2a6276b22ae883fb30fa611f4e4193e7a08480fcd7db48308bacbd72bf4807aa
11fd394859f97d22982f7fe890b2e2a0f7e7ffb693
"""
))
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der
# -outform DER -out keyenc.der -v1 PBE-SHA1-RC2-64
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'skip encryption', # pbeWithSHA1AndRC2-CBC, only decoding is supported
-1,
"",
"",
"""
308201f1301b06092a864886f70d01050b300e04083ee943bdae185008020208
00048201d0e4614d9371d3ff10ceabc2f6a7a13a0f449f9a714144e46518ea55
e3e6f0cde24031d01ef1f37ec40081449ef01914faf45983dde0d2bc496712de
8dd15a5527dff4721d9016c13f34fb93e3ce68577e30146266d71b539f854e56
753a192cf126ed4812734d86f81884374f1100772f78d0646e9946407637c565
d070acab413c55952f7237437f2e48cae7fa0ff8d370de2bf446dd08049a3663
d9c813ac197468c02e2b687e7ca994cf7f03f01b6eca87dbfed94502c2094157
ea39f73fe4e591df1a68b04d19d9adab90bb9898467c1464ad20bf2b8fb9a5ff
d3ec91847d1c67fd768a4b9cfb46572eccc83806601372b6fad0243f58f623b7
1c5809dea0feb8278fe27e5560eed8448dc93f5612f546e5dd7c5f6404365eb2
5bf3396814367ae8b15c5c432b57eaed1f882c05c7f6517ee9e42b87b7b8d071
9d6125d1b52f7b2cca1f6bd5f584334bf90bce1a7d938274cafe27b68e629698
b16e27ae528db28593af9adcfccbebb3b9e1f2af5cd5531b51968389caa6c091
e7de1f1b96f0d258e54e540d961a7c0ef51fda45d6da5fddd33e9bbfd3a5f8d7
d7ab2e971de495cddbc86d38444fee9f0ac097b00adaf7802dabe0cff5b43b45
4f26b7b547016f89be52676866189911c53e2f2477"""
))
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der
# -outform DER -out keyenc.der -v1 PBE-MD5-RC2-64
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'skip encryption', # pbeWithMD5AndRC2-CBC, only decoding is supported
-1,
"",
"",
"""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"""
))
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der
# -outform DER -out keyenc.der -v1 PBE-SHA1-DES
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'skip encryption', # pbeWithSHA1AndDES-CBC, only decoding is supported
-1,
"",
"",
"""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"""
))
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der
# -outform DER -out keyenc.der -v2 aes128
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'PBKDF2WithHMAC-SHA1AndAES128-CBC',
2048,
"4F66EE5D3BCD531FE6EBF4B4E73016B8", # IV
"479F25156176C53A", # Salt
"""
3082021f304906092a864886f70d01050d303c301b06092a864886f70d01050c
300e0408479f25156176c53a02020800301d060960864801650304010204104f
66ee5d3bcd531fe6ebf4b4e73016b8048201d0e33cfa560423f589d097d21533
3b880a5ebac5b2ac58b4e73b0d787aee7764f034fe34ca1d1bd845c0a7c3316f
afbfb2129e03dcaf5a5031394206492828dacef1e04639bee5935e0f46114202
10bc6c37182f4889be11c5d0486c398f4be952e5740f65de9d8edeb275e2b406
e19bc29ad5ebb97fa536344fc3d84c7e755696f12b810898de4e6f069b8a81c8
0aab0d45d7d062303aaa4a10c2ce84fdb5a03114039cfe138e38bb15b2ced717
93549cdad85e730b14d9e2198b663dfdc8d04a4349eb3de59b076ad40b116d4a
25ed917c576bc7c883c95ef0f1180e28fc9981bea069594c309f1aa1b253ceab
a2f0313bb1372bcb51a745056be93d77a1f235a762a45e8856512d436b2ca0f7
dd60fbed394ba28978d2a2b984b028529d0a58d93aba46c6bbd4ac1e4013cbaa
63b00988bc5f11ccc40141c346762d2b28f64435d4be98ec17c1884985e3807e
e550db606600993efccf6de0dfc2d2d70b5336a3b018fa415d6bdd59f5777118
16806b7bc17c4c7e20ad7176ebfa5a1aa3f6bc10f04b77afd443944642ac9cca
d740e082b4a3bbb8bafdd34a0b3c5f2f3c2aceccccdccd092b78994b845bfa61
706c3b9df5165ed1dbcbf1244fe41fc9bf993f52f7658e2f87e1baaeacb0f562
9d905c
"""
))
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der
# -outform DER -out keyenc.der -v2 aes192
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'PBKDF2WithHMAC-SHA1AndAES192-CBC',
2048,
"5CFC2A4FF7B63201A4A8A5B021148186", # IV
"D718541C264944CE", # Salt
"""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"""
))
#
# openssl pkcs8 -topk8 -passin pass:TestTest -inform DER -in key.der
# -outform DER -out keyenc.der -v2 aes192
# hexdump -v -e '32/1 "%02x" "\n"' keyenc.der
#
wrapped_enc_keys.append((
'PBKDF2WithHMAC-SHA1AndAES256-CBC',
2048,
"323351F94462AC563E053A056252C2C4", # IV
"02A6CD0D12E727B5", # Salt
"""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"""
))
def txt2bin(inputs):
s = b('').join([b(x) for x in inputs if not (x in '\n\r\t ')])
return unhexlify(s)
class Rng:
def __init__(self, output):
self.output=output
self.idx=0
def __call__(self, n):
output = self.output[self.idx:self.idx+n]
self.idx += n
return output
class PKCS8_Decrypt(unittest.TestCase):
def setUp(self):
self.oid_key = oid_key
self.clear_key = txt2bin(clear_key)
self.wrapped_clear_key = txt2bin(wrapped_clear_key)
self.wrapped_enc_keys = []
for t in wrapped_enc_keys:
self.wrapped_enc_keys.append((
t[0],
t[1],
txt2bin(t[2]),
txt2bin(t[3]),
txt2bin(t[4])
))
### NO ENCRYTION
def test1(self):
"""Verify unwrapping w/o encryption"""
res1, res2, res3 = PKCS8.unwrap(self.wrapped_clear_key)
self.assertEqual(res1, self.oid_key)
self.assertEqual(res2, self.clear_key)
def test2(self):
"""Verify wrapping w/o encryption"""
wrapped = PKCS8.wrap(self.clear_key, self.oid_key)
res1, res2, res3 = PKCS8.unwrap(wrapped)
self.assertEqual(res1, self.oid_key)
self.assertEqual(res2, self.clear_key)
## ENCRYPTION
def test3(self):
"""Verify unwrapping with encryption"""
for t in self.wrapped_enc_keys:
res1, res2, res3 = PKCS8.unwrap(t[4], b("TestTest"))
self.assertEqual(res1, self.oid_key)
self.assertEqual(res2, self.clear_key)
def test4(self):
"""Verify wrapping with encryption"""
for t in self.wrapped_enc_keys:
if t[0] == 'skip encryption':
continue
rng = Rng(t[2]+t[3])
params = { 'iteration_count':t[1] }
wrapped = PKCS8.wrap(
self.clear_key,
self.oid_key,
b("TestTest"),
protection=t[0],
prot_params=params,
key_params=None,
randfunc=rng)
self.assertEqual(wrapped, t[4])
def get_tests(config={}):
from Cryptodome.SelfTest.st_common import list_test_cases
listTests = []
listTests += list_test_cases(PKCS8_Decrypt)
return listTests
if __name__ == '__main__':
suite = lambda: unittest.TestSuite(get_tests())
unittest.main(defaultTest='suite')
| 42.445755
| 107
| 0.821748
| 1,117
| 17,997
| 13.165622
| 0.38496
| 0.009792
| 0.01428
| 0.00748
| 0.127295
| 0.119339
| 0.110567
| 0.109479
| 0.108187
| 0.097851
| 0
| 0.429853
| 0.120742
| 17,997
| 423
| 108
| 42.546099
| 0.499494
| 0.202145
| 0
| 0.315436
| 0
| 0
| 0.430696
| 0.378265
| 0
| 1
| 0
| 0.002364
| 0.04698
| 1
| 0.060403
| false
| 0
| 0.033557
| 0
| 0.127517
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
74e72efb24695b8a636d124e0f49fe6b12339676
| 50
|
py
|
Python
|
manimtda/linalg/__init__.py
|
bnels/manimtda
|
36954a6c8e27312a3f8b5c1aa9935909ac1c62da
|
[
"MIT"
] | null | null | null |
manimtda/linalg/__init__.py
|
bnels/manimtda
|
36954a6c8e27312a3f8b5c1aa9935909ac1c62da
|
[
"MIT"
] | null | null | null |
manimtda/linalg/__init__.py
|
bnels/manimtda
|
36954a6c8e27312a3f8b5c1aa9935909ac1c62da
|
[
"MIT"
] | null | null | null |
from .shapes import Lmat, Umat, Dmat, ELmat, Pmat
| 25
| 49
| 0.74
| 8
| 50
| 4.625
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 50
| 1
| 50
| 50
| 0.880952
| 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
| 0
| 0
|
0
| 4
|
2d4669d29243bc82e95f1a8df1364a9ed0b15d81
| 131
|
py
|
Python
|
namespaces/apps.py
|
mertsaygi/Hita
|
c54d4011644d53401bc06db2c871f2271bf35927
|
[
"Apache-2.0"
] | null | null | null |
namespaces/apps.py
|
mertsaygi/Hita
|
c54d4011644d53401bc06db2c871f2271bf35927
|
[
"Apache-2.0"
] | null | null | null |
namespaces/apps.py
|
mertsaygi/Hita
|
c54d4011644d53401bc06db2c871f2271bf35927
|
[
"Apache-2.0"
] | 1
|
2021-12-01T13:27:36.000Z
|
2021-12-01T13:27:36.000Z
|
from __future__ import unicode_literals
from django.apps import AppConfig
class SpaceConfig(AppConfig):
name = 'namespaces'
| 16.375
| 39
| 0.793893
| 15
| 131
| 6.6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152672
| 131
| 7
| 40
| 18.714286
| 0.891892
| 0
| 0
| 0
| 0
| 0
| 0.076336
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7418194aa991952e5a4b0d67006d6cd6927f4c83
| 98
|
py
|
Python
|
grafana/python-scripts/api_get_token.py
|
vPackets/DOCKER-TIG
|
c65efaa5707fefc9b0d14dcbd104e3ca17351fa8
|
[
"MIT"
] | null | null | null |
grafana/python-scripts/api_get_token.py
|
vPackets/DOCKER-TIG
|
c65efaa5707fefc9b0d14dcbd104e3ca17351fa8
|
[
"MIT"
] | null | null | null |
grafana/python-scripts/api_get_token.py
|
vPackets/DOCKER-TIG
|
c65efaa5707fefc9b0d14dcbd104e3ca17351fa8
|
[
"MIT"
] | null | null | null |
from api_func import *
#token = get_token_authentication()
token = verify_token_authentication()
| 19.6
| 37
| 0.806122
| 12
| 98
| 6.166667
| 0.666667
| 0.513514
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112245
| 98
| 4
| 38
| 24.5
| 0.850575
| 0.346939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
742fdf7c4640eeb89a3aca36b0e67b04f02b2091
| 592
|
py
|
Python
|
benchmarks/comparison/utils.py
|
jakemassoth/MessageFirst
|
7135ffb8c541570d7bcaab1c7394c683a2832bbd
|
[
"MIT"
] | null | null | null |
benchmarks/comparison/utils.py
|
jakemassoth/MessageFirst
|
7135ffb8c541570d7bcaab1c7394c683a2832bbd
|
[
"MIT"
] | null | null | null |
benchmarks/comparison/utils.py
|
jakemassoth/MessageFirst
|
7135ffb8c541570d7bcaab1c7394c683a2832bbd
|
[
"MIT"
] | null | null | null |
import os
def fix_csv_parse(netperf_df):
netperf_df = netperf_df.drop([0]).reset_index()
netperf_df = netperf_df.drop(['index'], axis=1)
netperf_df = netperf_df.rename(columns={'Unnamed: 0': 'Test'})
netperf_df = netperf_df.rename(columns={'tput MBps': 'Netperf Throughput (MB/s)'})
return netperf_df
def get_overhead(experiment, baseline):
return abs((experiment - baseline) / baseline)
def make_dirs(PATH):
if not os.path.exists(PATH + '/data'):
os.mkdir(PATH + '/data')
if not os.path.exists(PATH + '/plots'):
os.mkdir(PATH + '/plots')
| 29.6
| 86
| 0.662162
| 84
| 592
| 4.488095
| 0.452381
| 0.238727
| 0.212202
| 0.238727
| 0.392573
| 0.275862
| 0
| 0
| 0
| 0
| 0
| 0.00616
| 0.177365
| 592
| 20
| 87
| 29.6
| 0.767967
| 0
| 0
| 0
| 0
| 0
| 0.126476
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.071429
| 0.071429
| 0.428571
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
745c179a95fa008669e441ac7446701009cd5bdf
| 87
|
py
|
Python
|
spektral/__init__.py
|
larsroe/spektral
|
1c4a98ac6853ea5fe99fba8f4675da0b77823f89
|
[
"MIT"
] | null | null | null |
spektral/__init__.py
|
larsroe/spektral
|
1c4a98ac6853ea5fe99fba8f4675da0b77823f89
|
[
"MIT"
] | null | null | null |
spektral/__init__.py
|
larsroe/spektral
|
1c4a98ac6853ea5fe99fba8f4675da0b77823f89
|
[
"MIT"
] | null | null | null |
from . import layers
from . import datasets
from . import utils
__version__ = '1.0.0'
| 14.5
| 22
| 0.724138
| 13
| 87
| 4.538462
| 0.615385
| 0.508475
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042254
| 0.183908
| 87
| 5
| 23
| 17.4
| 0.788732
| 0
| 0
| 0
| 0
| 0
| 0.057471
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 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
| 0
| 0
|
0
| 4
|
746a565478d6f6c369fb0f4a1ace408df4af095e
| 215
|
py
|
Python
|
tests/context.py
|
lbuckalew/PythonSpades
|
887a65832eb4e9cab530d06342d50970cafce8a4
|
[
"MIT"
] | null | null | null |
tests/context.py
|
lbuckalew/PythonSpades
|
887a65832eb4e9cab530d06342d50970cafce8a4
|
[
"MIT"
] | null | null | null |
tests/context.py
|
lbuckalew/PythonSpades
|
887a65832eb4e9cab530d06342d50970cafce8a4
|
[
"MIT"
] | null | null | null |
# Provides context to import pyspades from testing module when not installed in site-packages
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import pyspades
| 30.714286
| 93
| 0.776744
| 34
| 215
| 4.794118
| 0.676471
| 0.110429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005236
| 0.111628
| 215
| 7
| 94
| 30.714286
| 0.848168
| 0.423256
| 0
| 0
| 0
| 0
| 0.01626
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
776394515e0c9434683115c4e4e15f7be0964761
| 96
|
py
|
Python
|
validator.py
|
DIPET-UVT/EDE-Dipet
|
6679699c9416df9c4c0cde989b687b085daf9b21
|
[
"Apache-2.0"
] | null | null | null |
validator.py
|
DIPET-UVT/EDE-Dipet
|
6679699c9416df9c4c0cde989b687b085daf9b21
|
[
"Apache-2.0"
] | 22
|
2021-09-22T10:59:10.000Z
|
2021-11-01T11:49:00.000Z
|
validator.py
|
IeAT-ASPIDE/Event-Detection-Engine
|
08f36d5fa56cae0e9ef86f61edf193aa4e780177
|
[
"Apache-2.0"
] | null | null | null |
import os
logFile = os.path.join(os.path.dirname(os.path.abspath('')), 'ede.log')
print(logFile)
| 32
| 71
| 0.71875
| 16
| 96
| 4.3125
| 0.625
| 0.26087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 96
| 3
| 72
| 32
| 0.766667
| 0
| 0
| 0
| 0
| 0
| 0.072165
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7767eec5d0ccf8b617167d21ae9cb126131cfecd
| 52
|
py
|
Python
|
ztf_viewer/catalogs/extinction/__init__.py
|
snad-space/ztf-viewer
|
a0152d415beb11095134d0e407956ea088db1684
|
[
"MIT"
] | 2
|
2020-11-14T02:24:57.000Z
|
2021-06-04T06:13:42.000Z
|
ztf_viewer/catalogs/extinction/__init__.py
|
snad-space/ztf-viewer
|
a0152d415beb11095134d0e407956ea088db1684
|
[
"MIT"
] | 74
|
2020-07-13T09:38:41.000Z
|
2022-03-31T15:58:04.000Z
|
ztf_viewer/catalogs/extinction/__init__.py
|
snad-space/ztf-viewer
|
a0152d415beb11095134d0e407956ea088db1684
|
[
"MIT"
] | null | null | null |
from .bayestar import bayestar
from .sfd import sfd
| 17.333333
| 30
| 0.807692
| 8
| 52
| 5.25
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 52
| 2
| 31
| 26
| 0.954545
| 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
| 0
| 0
|
0
| 4
|
779638e6d3b40cd5c6f9089ab98ad5264c1cc29e
| 150
|
py
|
Python
|
angle_routines/setup.py
|
jwg4/acute_sets
|
dd2c1b30d5cd6883b86bd3fc8531d0234ed1a2b7
|
[
"MIT"
] | null | null | null |
angle_routines/setup.py
|
jwg4/acute_sets
|
dd2c1b30d5cd6883b86bd3fc8531d0234ed1a2b7
|
[
"MIT"
] | null | null | null |
angle_routines/setup.py
|
jwg4/acute_sets
|
dd2c1b30d5cd6883b86bd3fc8531d0234ed1a2b7
|
[
"MIT"
] | null | null | null |
from distutils.core import setup
from Cython.Build import cythonize
setup(name='check and search modules',
ext_modules=cythonize("check.pyx"))
| 25
| 41
| 0.773333
| 21
| 150
| 5.47619
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 150
| 5
| 42
| 30
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0.22
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 0
|
0
| 4
|
77dfb971d66e213c4f1b29c3d220c6c677e2f22f
| 52
|
py
|
Python
|
geosupport/__init__.py
|
NYCPlanning/python-geosupport
|
30a2097e91fdaa12e031ebf3780c77d22315dda7
|
[
"MIT"
] | 15
|
2017-10-06T00:43:49.000Z
|
2022-01-06T21:07:25.000Z
|
geosupport/__init__.py
|
SPTKL/python-geosupport
|
afad89f9065b6611d7c1428e895fa27e97bedf40
|
[
"MIT"
] | 23
|
2018-08-01T13:35:56.000Z
|
2021-09-15T15:06:53.000Z
|
geosupport/__init__.py
|
SPTKL/python-geosupport
|
afad89f9065b6611d7c1428e895fa27e97bedf40
|
[
"MIT"
] | 11
|
2017-10-21T14:24:29.000Z
|
2021-03-21T02:05:14.000Z
|
from .geosupport import Geosupport, GeosupportError
| 26
| 51
| 0.865385
| 5
| 52
| 9
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096154
| 52
| 1
| 52
| 52
| 0.957447
| 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
| 0
| 0
|
0
| 4
|
77eead610feec31116d0897a15d8d71c43249630
| 13,245
|
py
|
Python
|
probs.py
|
vield/mcmc-and-substitution-ciphers
|
b723e2bd8cdce84b7ca9542ce2fe302e3bafc6c9
|
[
"MIT"
] | null | null | null |
probs.py
|
vield/mcmc-and-substitution-ciphers
|
b723e2bd8cdce84b7ca9542ce2fe302e3bafc6c9
|
[
"MIT"
] | null | null | null |
probs.py
|
vield/mcmc-and-substitution-ciphers
|
b723e2bd8cdce84b7ca9542ce2fe302e3bafc6c9
|
[
"MIT"
] | 1
|
2019-01-27T18:11:48.000Z
|
2019-01-27T18:11:48.000Z
|
transitions = {' ': {' ': 2877,
'?': 24468,
'a': 68563,
'b': 24641,
'c': 21074,
'd': 16954,
'e': 11615,
'f': 21199,
'g': 9600,
'h': 49177,
'i': 29498,
'j': 1618,
'k': 3983,
'l': 13015,
'm': 19254,
'n': 14619,
'o': 33619,
'p': 18734,
'q': 1410,
'r': 15070,
's': 40402,
't': 86410,
'u': 5537,
'v': 3914,
'w': 39279,
'x': 450,
'y': 5982,
'z': 143},
'?': {' ': 127201,
'?': 163084,
'a': 1373,
'b': 777,
'c': 605,
'd': 634,
'e': 512,
'f': 350,
'g': 453,
'h': 839,
'i': 1702,
'j': 47,
'k': 440,
'l': 1714,
'm': 581,
'n': 2518,
'o': 632,
'p': 311,
'q': 21,
'r': 799,
's': 7346,
't': 3686,
'u': 145,
'v': 1836,
'w': 1640,
'x': 3,
'y': 1143,
'z': 632},
'a': {' ': 12363,
'?': 3127,
'a': 8,
'b': 3459,
'c': 7015,
'd': 11260,
'e': 70,
'f': 1672,
'g': 3376,
'h': 315,
'i': 8729,
'j': 169,
'k': 2535,
'l': 14217,
'm': 4600,
'n': 45441,
'o': 43,
'p': 4631,
'q': 3,
'r': 17677,
's': 19514,
't': 27983,
'u': 2512,
'v': 4269,
'w': 2152,
'x': 52,
'y': 5206,
'z': 347},
'b': {' ': 115,
'?': 169,
'a': 3190,
'b': 230,
'c': 4,
'd': 17,
'e': 11356,
'f': 1,
'g': 1,
'h': 2,
'i': 1006,
'j': 176,
'k': 1,
'l': 3636,
'm': 70,
'n': 10,
'o': 4089,
'p': 1,
'q': 1,
'r': 1979,
's': 477,
't': 258,
'u': 5276,
'v': 47,
'w': 21,
'x': 1,
'y': 2551,
'z': 1},
'c': {' ': 472,
'?': 172,
'a': 6722,
'b': 1,
'c': 1050,
'd': 10,
'e': 13130,
'f': 1,
'g': 1,
'h': 11608,
'i': 2575,
'j': 1,
'k': 2625,
'l': 2005,
'm': 3,
'n': 1,
'o': 12831,
'p': 1,
'q': 118,
'r': 2072,
's': 97,
't': 4135,
'u': 1692,
'v': 1,
'w': 8,
'x': 1,
'y': 311,
'z': 6},
'd': {' ': 63123,
'?': 13679,
'a': 2441,
'b': 13,
'c': 11,
'd': 1305,
'e': 13743,
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| 16.872611
| 31
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0
| 4
|
77f8d16fe8ccc958458145a3d03729552548e5e9
| 195
|
py
|
Python
|
ephios/core/registries.py
|
garinm90/ephios
|
7d04d3287ae16ee332e31add1f25829b199f29a5
|
[
"MIT"
] | null | null | null |
ephios/core/registries.py
|
garinm90/ephios
|
7d04d3287ae16ee332e31add1f25829b199f29a5
|
[
"MIT"
] | null | null | null |
ephios/core/registries.py
|
garinm90/ephios
|
7d04d3287ae16ee332e31add1f25829b199f29a5
|
[
"MIT"
] | null | null | null |
from dynamic_preferences.registries import PerInstancePreferenceRegistry
class EventTypeRegistry(PerInstancePreferenceRegistry):
pass
event_type_preference_registry = EventTypeRegistry()
| 21.666667
| 72
| 0.871795
| 15
| 195
| 11.066667
| 0.866667
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0
| 4
|
7afb85ff36d4474ad8c34c3a4679bdb1dcfdab79
| 63
|
py
|
Python
|
python/flareapps/django/common/services/__init__.py
|
flarebyte/wonderful-bazar
|
810514cd7d73505b11d738f8b84d91842d18d074
|
[
"MIT"
] | null | null | null |
python/flareapps/django/common/services/__init__.py
|
flarebyte/wonderful-bazar
|
810514cd7d73505b11d738f8b84d91842d18d074
|
[
"MIT"
] | null | null | null |
python/flareapps/django/common/services/__init__.py
|
flarebyte/wonderful-bazar
|
810514cd7d73505b11d738f8b84d91842d18d074
|
[
"MIT"
] | null | null | null |
__author__="olivierhuin"
__date__ ="$Sep 17, 2009 10:32:03 PM$"
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| 38
| 0.730159
| 10
| 63
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0
| 4
|
bb152cb2fcf898aedc759b79427e0b54da07ae0a
| 53
|
py
|
Python
|
tests/__init__.py
|
auto-deprecator/auto-deprecator-example
|
ae4ec930e62b7a6bfe645832b6b83266eb971a76
|
[
"MIT"
] | 1
|
2020-03-23T00:19:37.000Z
|
2020-03-23T00:19:37.000Z
|
tests/__init__.py
|
auto-deprecator/auto-deprecator-example
|
ae4ec930e62b7a6bfe645832b6b83266eb971a76
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
auto-deprecator/auto-deprecator-example
|
ae4ec930e62b7a6bfe645832b6b83266eb971a76
|
[
"MIT"
] | null | null | null |
"""Unit test package for auto_deprecator_example."""
| 26.5
| 52
| 0.773585
| 7
| 53
| 5.571429
| 1
| 0
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| 0
|
0
| 4
|
bb19c654c6821a4c9f9f2c7f3dd8a022adc67256
| 228
|
py
|
Python
|
Practice/Python/Sets/Symmetric_Difference.py
|
alexanderbauer89/HackerRank
|
0fb6face083b0183692c9251ffe4bb635591393f
|
[
"MIT"
] | 1
|
2021-11-17T02:47:11.000Z
|
2021-11-17T02:47:11.000Z
|
Practice/Python/Sets/Symmetric_Difference.py
|
alexanderbauer89/HackerRank
|
0fb6face083b0183692c9251ffe4bb635591393f
|
[
"MIT"
] | null | null | null |
Practice/Python/Sets/Symmetric_Difference.py
|
alexanderbauer89/HackerRank
|
0fb6face083b0183692c9251ffe4bb635591393f
|
[
"MIT"
] | null | null | null |
def symmetric_difference(a, b):
return sorted(set(a ^ b), key=int)
if __name__ == '__main__':
_,a = input(), set(input().split())
_,b = input(), set(input().split())
print('\n'.join(symmetric_difference(a, b)))
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| 48
| 0.605263
| 32
| 228
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| 0.5625
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|
0
| 4
|
bb1a339f3cdbfaec24d9e4df5ad8466877edd21b
| 581
|
py
|
Python
|
StoryApp/migrations/0010_auto_20181219_0139.py
|
psanon19/Requiem-Tales
|
4eafea6ca4eb7e3d3d99f19810a9fba4f2227269
|
[
"Apache-2.0"
] | null | null | null |
StoryApp/migrations/0010_auto_20181219_0139.py
|
psanon19/Requiem-Tales
|
4eafea6ca4eb7e3d3d99f19810a9fba4f2227269
|
[
"Apache-2.0"
] | null | null | null |
StoryApp/migrations/0010_auto_20181219_0139.py
|
psanon19/Requiem-Tales
|
4eafea6ca4eb7e3d3d99f19810a9fba4f2227269
|
[
"Apache-2.0"
] | null | null | null |
# Generated by Django 2.0.6 on 2018-12-19 01:39
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('StoryApp', '0009_auto_20181219_0124'),
]
operations = [
migrations.RemoveField(
model_name='playercharactermodel',
name='email',
),
migrations.RemoveField(
model_name='playercharactermodel',
name='last_name',
),
migrations.RemoveField(
model_name='playercharactermodel',
name='password',
),
]
| 22.346154
| 48
| 0.576592
| 50
| 581
| 6.56
| 0.64
| 0.192073
| 0.237805
| 0.27439
| 0.493902
| 0.493902
| 0
| 0
| 0
| 0
| 0
| 0.078283
| 0.318417
| 581
| 25
| 49
| 23.24
| 0.75
| 0.077453
| 0
| 0.473684
| 1
| 0
| 0.21161
| 0.043071
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.052632
| 0.052632
| 0
| 0.210526
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
bb2d020bc735a8dc29e4ef67779621095b8495dc
| 142
|
py
|
Python
|
tests/exmaple/test_all_read.py
|
DKorytkin/pytest_hercule
|
68343af694df732256e2de8faf58030b60abea24
|
[
"MIT"
] | 12
|
2020-03-02T17:10:03.000Z
|
2022-02-22T17:17:53.000Z
|
tests/exmaple/test_all_read.py
|
DKorytkin/pytest_hercule
|
68343af694df732256e2de8faf58030b60abea24
|
[
"MIT"
] | null | null | null |
tests/exmaple/test_all_read.py
|
DKorytkin/pytest_hercule
|
68343af694df732256e2de8faf58030b60abea24
|
[
"MIT"
] | null | null | null |
def test_passed():
assert True
def test_read_params(config, param):
assert config.get(param) == 2
def test_do_nothing():
pass
| 12.909091
| 36
| 0.683099
| 21
| 142
| 4.380952
| 0.666667
| 0.228261
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008929
| 0.211268
| 142
| 10
| 37
| 14.2
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.5
| false
| 0.333333
| 0
| 0
| 0.5
| 0
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
24a96cf59ffd822b7fac32796ef8d2e7c5ec27a3
| 224
|
py
|
Python
|
feature_examples/tensorflow/replication/conftest.py
|
Paperspace/tutorials
|
8e20ffb687080c44e75dabea594d2b57acc53713
|
[
"MIT"
] | null | null | null |
feature_examples/tensorflow/replication/conftest.py
|
Paperspace/tutorials
|
8e20ffb687080c44e75dabea594d2b57acc53713
|
[
"MIT"
] | 78
|
2021-09-20T11:48:08.000Z
|
2021-10-21T07:10:39.000Z
|
feature_examples/tensorflow/replication/conftest.py
|
Paperspace/tutorials
|
8e20ffb687080c44e75dabea594d2b57acc53713
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2021 Graphcore Ltd. All rights reserved.
from tensorflow.keras.datasets import cifar10
def pytest_sessionstart(session):
"""Load the cifar10 data at the start of the session"""
cifar10.load_data()
| 24.888889
| 59
| 0.75
| 31
| 224
| 5.354839
| 0.774194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.053476
| 0.165179
| 224
| 8
| 60
| 28
| 0.834225
| 0.46875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
24ca222d174b8b319dd18c0d49821fdc97aa50c7
| 1,304
|
py
|
Python
|
setup.py
|
NZSmartie/PyHIDParser
|
a2758929c82a4316a665a779b9a391740103b318
|
[
"MIT"
] | 22
|
2016-04-28T10:29:11.000Z
|
2022-02-02T17:30:08.000Z
|
setup.py
|
NZSmartie/PyHIDParser
|
a2758929c82a4316a665a779b9a391740103b318
|
[
"MIT"
] | 12
|
2016-04-24T03:29:00.000Z
|
2018-11-26T22:34:37.000Z
|
setup.py
|
NZSmartie/PyHIDParser
|
a2758929c82a4316a665a779b9a391740103b318
|
[
"MIT"
] | 5
|
2017-02-21T13:01:25.000Z
|
2021-10-04T07:13:53.000Z
|
#!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name="hidparser",
version="0.0.7",
description="HID Descriptor Parser",
license="MIT",
author="Roman Vaughan",
url="https://github.com/NZSmartie/PyHIDParser",
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"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 :: Only",
"Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator",
"Topic :: Scientific/Engineering :: Human Machine Interfaces",
"Topic :: Software Development :: Embedded Systems",
"Topic :: System :: Hardware",
"Topic :: System :: Hardware :: Hardware Drivers",
"Topic :: Utilities"
],
keywords="hid device usb parse descriptor",
packages=["hidparser"],
install_requires=[
"bitstring>=3.1.4"
]
)
| 28.347826
| 82
| 0.596626
| 127
| 1,304
| 6.110236
| 0.566929
| 0.195876
| 0.257732
| 0.268041
| 0.069588
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021694
| 0.257669
| 1,304
| 46
| 83
| 28.347826
| 0.779959
| 0.015337
| 0
| 0
| 0
| 0
| 0.640187
| 0.034268
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.030303
| 0
| 0.030303
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7017dcd9500ae0566bcaabea91f6c64e4a1ecd56
| 880
|
py
|
Python
|
api/src/opentrons/config/feature_flags.py
|
wheresaddie/opentrons
|
b90a87e2b45ea3db7677d130d683249460e4b91a
|
[
"Apache-2.0"
] | null | null | null |
api/src/opentrons/config/feature_flags.py
|
wheresaddie/opentrons
|
b90a87e2b45ea3db7677d130d683249460e4b91a
|
[
"Apache-2.0"
] | null | null | null |
api/src/opentrons/config/feature_flags.py
|
wheresaddie/opentrons
|
b90a87e2b45ea3db7677d130d683249460e4b91a
|
[
"Apache-2.0"
] | null | null | null |
import os
from opentrons.config import advanced_settings as advs
def get_setting_with_env_overload(setting_name):
env_name = 'OT_API_FF_' + setting_name
if env_name in os.environ:
return os.environ[env_name].lower() in ('1', 'true', 'on')
else:
return advs.get_adv_setting(setting_name) is True
def short_fixed_trash():
return get_setting_with_env_overload('shortFixedTrash')
def calibrate_to_bottom():
return get_setting_with_env_overload('calibrateToBottom')
def dots_deck_type():
return get_setting_with_env_overload('deckCalibrationDots')
def disable_home_on_boot():
return get_setting_with_env_overload('disableHomeOnBoot')
def use_protocol_api_v2():
return get_setting_with_env_overload('useProtocolApi2')
def use_old_aspiration_functions():
return get_setting_with_env_overload('useOldAspirationFunctions')
| 25.142857
| 69
| 0.781818
| 120
| 880
| 5.275
| 0.45
| 0.110585
| 0.154818
| 0.187994
| 0.333333
| 0.293839
| 0
| 0
| 0
| 0
| 0
| 0.003947
| 0.136364
| 880
| 34
| 70
| 25.882353
| 0.828947
| 0
| 0
| 0
| 0
| 0
| 0.142045
| 0.028409
| 0
| 0
| 0
| 0
| 0
| 1
| 0.35
| false
| 0
| 0.1
| 0.3
| 0.85
| 0
| 0
| 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
| 4
|
701e83ae0da67425d8e2a48bfd4b46b700ff9969
| 93
|
py
|
Python
|
abc/152/b/answer.py
|
TakuyaNoguchi/atcoder
|
d079402e6fe9c9aaf3a6fc9272331ee71fc497da
|
[
"MIT"
] | null | null | null |
abc/152/b/answer.py
|
TakuyaNoguchi/atcoder
|
d079402e6fe9c9aaf3a6fc9272331ee71fc497da
|
[
"MIT"
] | null | null | null |
abc/152/b/answer.py
|
TakuyaNoguchi/atcoder
|
d079402e6fe9c9aaf3a6fc9272331ee71fc497da
|
[
"MIT"
] | null | null | null |
a, b = input().split()
if int(a) > int(b):
print(b * int(a))
else:
print(a * int(b))
| 15.5
| 22
| 0.494624
| 18
| 93
| 2.555556
| 0.444444
| 0.173913
| 0.217391
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.247312
| 93
| 6
| 23
| 15.5
| 0.657143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.4
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
70286afd5ee0143a31994110757ca2f06311c3a8
| 210
|
py
|
Python
|
paperlims/core/models/organ.py
|
slohr/paperlims
|
598899b3a0945d9e7353ba79742bd94798b3e17b
|
[
"MIT"
] | null | null | null |
paperlims/core/models/organ.py
|
slohr/paperlims
|
598899b3a0945d9e7353ba79742bd94798b3e17b
|
[
"MIT"
] | 1
|
2020-06-05T17:32:56.000Z
|
2020-06-05T17:32:56.000Z
|
paperlims/core/models/organ.py
|
slohr/paperlims
|
598899b3a0945d9e7353ba79742bd94798b3e17b
|
[
"MIT"
] | null | null | null |
from core.models.base import StandardModel
class Organ(StandardModel):
class Meta:
app_label = "core"
db_table = 'organ'
ordering = ['-date_created']
def __str__(self):
return self.name
| 16.153846
| 42
| 0.680952
| 26
| 210
| 5.230769
| 0.807692
| 0.264706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.214286
| 210
| 12
| 43
| 17.5
| 0.824242
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.125
| 0.125
| 0.625
| 0
| 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
| 0
| 1
| 1
| 0
|
0
| 4
|
704df1598d6c8c5330e04e4a7fefcea333424b6f
| 102
|
py
|
Python
|
gqqa_interface/apps.py
|
kuPacemaker/restful-unilm-django
|
679bcbc7f76e3a8e2e63f11cb3d9bc188ff8fc23
|
[
"MIT"
] | 1
|
2020-10-25T12:31:33.000Z
|
2020-10-25T12:31:33.000Z
|
gqqa_interface/apps.py
|
kuPacemaker/restful-unilm-django
|
679bcbc7f76e3a8e2e63f11cb3d9bc188ff8fc23
|
[
"MIT"
] | 1
|
2021-07-18T11:14:51.000Z
|
2021-07-18T14:38:00.000Z
|
gqqa_interface/apps.py
|
kuPacemaker/restful-unilm-django
|
679bcbc7f76e3a8e2e63f11cb3d9bc188ff8fc23
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class GqqaInterfaceConfig(AppConfig):
name = 'gqqa_interface'
| 17
| 37
| 0.784314
| 11
| 102
| 7.181818
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147059
| 102
| 5
| 38
| 20.4
| 0.908046
| 0
| 0
| 0
| 0
| 0
| 0.137255
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
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