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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2bb2c9cea42ee185b7169711c01785326c47df8c
| 43
|
py
|
Python
|
abc/185/A.py
|
tonko2/AtCoder
|
5d617072517881d226d7c8af09cb88684d41af7e
|
[
"Xnet",
"X11",
"CECILL-B"
] | 2
|
2022-01-22T07:56:58.000Z
|
2022-01-24T00:29:37.000Z
|
abc/185/A.py
|
tonko2/AtCoder
|
5d617072517881d226d7c8af09cb88684d41af7e
|
[
"Xnet",
"X11",
"CECILL-B"
] | null | null | null |
abc/185/A.py
|
tonko2/AtCoder
|
5d617072517881d226d7c8af09cb88684d41af7e
|
[
"Xnet",
"X11",
"CECILL-B"
] | null | null | null |
A = map(int, input().split())
print(min(A))
| 21.5
| 29
| 0.604651
| 8
| 43
| 3.25
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.093023
| 43
| 2
| 30
| 21.5
| 0.666667
| 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
|
2bb767a942cbba3cee7127e0a1ecdcf92f9d3b15
| 96
|
py
|
Python
|
oscar/lib/python2.7/site-packages/flake8/__main__.py
|
sainjusajan/django-oscar
|
466e8edc807be689b0a28c9e525c8323cc48b8e1
|
[
"BSD-3-Clause"
] | null | null | null |
oscar/lib/python2.7/site-packages/flake8/__main__.py
|
sainjusajan/django-oscar
|
466e8edc807be689b0a28c9e525c8323cc48b8e1
|
[
"BSD-3-Clause"
] | null | null | null |
oscar/lib/python2.7/site-packages/flake8/__main__.py
|
sainjusajan/django-oscar
|
466e8edc807be689b0a28c9e525c8323cc48b8e1
|
[
"BSD-3-Clause"
] | null | null | null |
"""Module allowing for ``python -m flake8 ...``."""
from flake8.main import cli
cli.main()
| 19.2
| 52
| 0.625
| 13
| 96
| 4.615385
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025316
| 0.177083
| 96
| 4
| 53
| 24
| 0.734177
| 0.46875
| 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
|
2bbbb791c3c9cf7de98e4ca40d686b8d6cfe7cc8
| 167
|
py
|
Python
|
python27_comp.py
|
SM64-TAS-ABC/DAKompiler
|
f3d47f9644958a7343759e5763159d5d0e15d625
|
[
"MIT"
] | 3
|
2019-07-28T19:50:34.000Z
|
2020-05-06T06:28:42.000Z
|
python27_comp.py
|
SM64-TAS-ABC/DAKompiler
|
f3d47f9644958a7343759e5763159d5d0e15d625
|
[
"MIT"
] | null | null | null |
python27_comp.py
|
SM64-TAS-ABC/DAKompiler
|
f3d47f9644958a7343759e5763159d5d0e15d625
|
[
"MIT"
] | null | null | null |
def to_bytes(n, length, byteorder='big'):
h = '%x' % n
s = ('0'*(len(h) % 2) + h).zfill(length*2).decode('hex')
return s if byteorder == 'big' else s[::-1]
| 41.75
| 60
| 0.532934
| 29
| 167
| 3.034483
| 0.689655
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030303
| 0.209581
| 167
| 4
| 61
| 41.75
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2bc914bc771ab46b3ea4e43f424e57c733be0b9c
| 365
|
py
|
Python
|
tests/unit/test_utils.py
|
mxa/mapillary_tools
|
4bfebf8705d06d8568619cc0c6b83fd3d4fad95e
|
[
"BSD-2-Clause"
] | 201
|
2015-01-15T17:57:14.000Z
|
2022-03-11T23:32:10.000Z
|
tests/unit/test_utils.py
|
mxa/mapillary_tools
|
4bfebf8705d06d8568619cc0c6b83fd3d4fad95e
|
[
"BSD-2-Clause"
] | 357
|
2015-01-02T11:40:07.000Z
|
2022-02-03T06:29:44.000Z
|
tests/unit/test_utils.py
|
mxa/mapillary_tools
|
4bfebf8705d06d8568619cc0c6b83fd3d4fad95e
|
[
"BSD-2-Clause"
] | 141
|
2015-01-11T22:14:56.000Z
|
2022-03-16T10:44:25.000Z
|
from mapillary_tools import utils
def test_filter():
images = [
"foo/bar/hello.mp4/hello_123.jpg",
"/hello.mp4/hello_123.jpg",
"foo/bar/hello/hello_123.jpg",
"/hello.mp4/hell_123.jpg",
]
r = utils.filter_video_samples(images, "hello.mp4")
assert r == ["foo/bar/hello.mp4/hello_123.jpg", "/hello.mp4/hello_123.jpg"]
| 28.076923
| 79
| 0.632877
| 54
| 365
| 4.092593
| 0.37037
| 0.217195
| 0.248869
| 0.289593
| 0.484163
| 0.39819
| 0.39819
| 0.39819
| 0.39819
| 0.39819
| 0
| 0.082192
| 0.2
| 365
| 12
| 80
| 30.416667
| 0.674658
| 0
| 0
| 0
| 0
| 0
| 0.463014
| 0.438356
| 0
| 0
| 0
| 0
| 0.1
| 1
| 0.1
| false
| 0
| 0.1
| 0
| 0.2
| 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
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2bd642d4cfc3771c180b43889138b148cdd88d5f
| 182
|
py
|
Python
|
src/commands/away.py
|
globau/timetracker
|
c06b0563c6fdde0abe9e34b1efe0d15cc1d0843d
|
[
"BSD-3-Clause"
] | 2
|
2019-05-18T12:59:12.000Z
|
2019-05-31T20:41:07.000Z
|
src/commands/away.py
|
globau/timetracker
|
c06b0563c6fdde0abe9e34b1efe0d15cc1d0843d
|
[
"BSD-3-Clause"
] | 1
|
2019-05-19T12:03:17.000Z
|
2019-05-27T13:23:16.000Z
|
src/commands/away.py
|
globau/timetracker
|
c06b0563c6fdde0abe9e34b1efe0d15cc1d0843d
|
[
"BSD-3-Clause"
] | null | null | null |
import state
import ui
from main import cli
@cli.command(aliases=["a"], help="set away now")
def away():
state.set_away(away=True, reason="requested")
ui.notify(away=True)
| 18.2
| 49
| 0.697802
| 29
| 182
| 4.344828
| 0.62069
| 0.111111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148352
| 182
| 9
| 50
| 20.222222
| 0.812903
| 0
| 0
| 0
| 0
| 0
| 0.120879
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| true
| 0
| 0.428571
| 0
| 0.571429
| 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
|
2bebe6f21f8cebe111cf052b5464de1b3a43924c
| 7,992
|
py
|
Python
|
Lib/filibuster/content/general.py
|
LettError/filibuster
|
c59bef292d779d4bca82e18818f765d494a46a7b
|
[
"MIT"
] | 10
|
2016-12-21T12:10:23.000Z
|
2021-03-03T16:49:43.000Z
|
Lib/filibuster/content/general.py
|
LettError/filibuster
|
c59bef292d779d4bca82e18818f765d494a46a7b
|
[
"MIT"
] | 4
|
2016-12-21T17:53:36.000Z
|
2020-07-07T13:26:27.000Z
|
Lib/filibuster/content/general.py
|
LettError/filibuster
|
c59bef292d779d4bca82e18818f765d494a46a7b
|
[
"MIT"
] | 2
|
2019-05-13T16:50:00.000Z
|
2020-07-08T12:51:30.000Z
|
# -*- coding: UTF-8 -*-
#
"""
history
Generally useful stuff should go here, see content for ideas
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3.0.0 - split all the content into babycontents
evb - note: only one dictionary named 'content' allowed per module
this limitation is to speed up loading
"""
from datetime import date
thisYear = date.today().year
__version__ = '4.0'
content = {
'alphabet_caps' : ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z'],
'alphabet_lc' : ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
'alphabet_common_lc' : ['s','t','r','n','d','m','n','l','e','a','o'],
'alphabet_sizes' : ['A','B','C','D','E','F','A','B','C','D','E','F','A','B','C','D','E','F','AA','BB','CC','DD','EE','AA','BB','CC','DD','EE','FF','AAA','EEE',],
'syllables' : ['am','air','com','cor','dac','dar','dat','dec','dom','fas','far','haz','lor','mac','mat','nor','or','pat','par','sac','sog','tow','us','vis','war','zen'],
'colors_primary' : ['cyan', 'magenta', 'yellow', 'black', 'red', 'green', 'blue'],
'colors_more' : ['chartreuse','taupe','beige','teal','brown','gray','white','carmine','purple','moss green',
],
'colors_adj' : ['light ', 'dark ', 'deep ', '','','','','','','','',],
'colors_elaborate' : [
'<#colors_adj#><#colors_primary#>',
'<#colors_adj#><#colors_more#>',
],
'num_card' : ['one','two','three','four','five','six','seven','eight','nine'],
'num_card_multiple' : ['two','three','four','five','six','seven','eight','nine'],
'num_card_few' : ['two','three','four'],
'num_card_010_019' : ['ten','eleven','twelve','thirteen','fourteen','fifteen','sixteen','seventeen','eighteen','nineteen'],
'num_card_010_090' : ['twenty','thirty','forty','fifty','sixty','seventy','eighty','ninety'],
'num_card_000_100' : ['<#num_card#>','<#num_card_010_019#>','<#num_card_010_090#>','<#num_card_010_090#><#num_card#>'],
'num_roman' : ['I', 'II', 'III', 'IV', 'V', 'VI', 'VII', 'VIII', 'IX', 'X'],
'num_ord' : ['first','second','third','fourth','fifth','sixth','seventh','eighth','ninth'],
'num_ord_010_019' : ['tenth','eleventh','twelfth','thirteenth','fourteenth','fifteenth','sixteenth','seventeenth','eighteenth','nineteenth'],
'num_ord_010_090' : ['twentieth','thirtieth','fortieth','fiftieth','sixtieth','seventieth','eightieth','ninetieth'],
'num_ord_000_100' : ['<#num_ord#>','<#num_ord_010_019#>','<#num_ord_010_090#>','<#num_card_010_090#> <#num_ord#>'],
'num_temperatureF' : [u'<-randint(-20, 100)->°'],
'num_temperatureC' : [u'<-randint(-20, 50)->°'],
'num_temperature' : [u'<#num_temperatureF#>F',u'<#num_temperatureC#>C',],
'amount_small' : ['some','few','2','3','4','5','6'],
'amount_more' : ['over seven', 'over eight', 'over nine', 'over ten', 'over a dozen', 'dozens'],
'amount_many' : ['dozens','a lot','too many','many','a large group', 'a large number'],
'figs' : ['1','2','3','4','5','6','7','8','9','0'],
'figs_nonzero' : ['1','2','3','4','5','6','7','8','9'],
'figs_multiple' : ['2','3','4','5','6','7','8','9'],
'figs_rand_5digit' : ['<-randint(100, 999)->','<-randint(1000, 9999)->','<-randint(10000, 99999)->'],
'figs_rand_4digit' : ['<-randint(1000, 9999)->'],
'figs_rand_3digit' : ['<-randint(100, 999)->'],
'figs_rand_2digit' : ['<-randint(10, 99)->'],
'figs_rand_04digit' : ['<#figs#><#figs#><#figs#><#figs#>'],
'figs_rand_03digit' : ['<#figs#><#figs#><#figs#>'],
'figs_rand_02digit' : ['<#figs#><#figs#>'],
'figs_ord' : ['1st','2nd','3rd','4th','5th','6th','7th','8th','9th'],
'age_adult' : ['<-randint(20, 99)->'],
'age_child' : ['<-randint(3, 12)->'],
'age_baby' : ['<-randint(1, 2)->'],
'age_teenager' : ['<-randint(12, 18)->'],
'age_retired' : ['<-randint(65, 99)->'],
'age_worker' : ['<-randint(21, 65)->'],
'time_comingyears' : [str(thisYear), str(thisYear+1), str(thisYear+2), str(thisYear+3), str(thisYear+4) ],
'time_thisyear' : [str(thisYear)],
'time_nextyear' : [str(thisYear+1)],
'time_lastyear' : [str(thisYear-1)],
'time_monthday' : ['<-randint(1,29)->'],
'time_seasons' : ['Spring', 'Summer', 'Autumn', 'Winter' ],
'time_holidays' : [
'<#time_seasons#>', '<#time_seasons#>', '<#time_seasons#>', 'Holidays', 'Thanksgiving', 'Christmas', 'Easter',
'<#time_holidays_minor#>',],
'time_holidays_minor' : ['Kwanzaa','Armageddon',"Secretary's Day",'Auto Safety Week','Arbor Day','Cinco de Mayo','Bastille Day',"Guy Fawkes' Night",'Black <#time_days#>'],
'time_months' : ['January','February','March','April','May','June','July','August','September','October','November','December'],
'time_monthdays' : ['<#figs_nonzero#>','1<#figs_nonzero#>','2<#figs_nonzero#>'],
'time_date' : ['1<#figs#> <#time_months#> 200<#figs#>'],
'time_days' : ['Sunday','Monday','Tuesday','Wednesday','Thursday','Friday','Saturday'],
'time_workhours' : ['8 a.m.', '9 a.m.', '10 a.m.', '11 a.m.', '12 a.m.', '1 p.m.', '2 p.m.', '3 p.m.', '4 p.m.', '5 p.m.', '6 p.m.'],
'time_usenet' : ['<#time_days#>, 1<#figs#> <#time_months#> 199<#figs#> 1<#figs#>:3<#figs#>:2<#figs#> +<#figs#><#figs#>00 (GMT)'],
'time_age' : ['<#figs_rand_2digit#>'],
'time_day_recentpast' : ['yesterday', 'this morning', 'early this morning', 'last night', 'yesterday afternoon'],
'time_day_nearfuture' : ['today','later today','tomorrow'],
'time_week_recentpast' : ['recently','last week','last <#time_days#>'],
'time_week_nearfuture' : ['presently','shortly','tomorrow','this week','within the week','this <#time_days#>','next <#time_days#>'],
'p_figures_pop' : ['thunderbird','cadillac','corvette','elcamino','bongwater','xrayspex','lavalamp', 'snowcrash','hiro','raven',
'bladerunner','wallace','gromit','pikachu','batman','robin','greenlantern','spiderman','laracroft','dasher','dancer','prancer',
'vixen','comet','cupid','donner','blitzen','mentos','borg','enterprise','hal9000','kremlin','moulinrouge','bigben',
'ernie','bert','kermit','piggy','bigbird'],
'p_miscellaneous' : ['bubbles','paxil','wynona','static','cannonball','roadrage','nascar','mgs','cornflakes','alphabits','zarvox','beanie',
'grand','royal','windmill','touchdown','station'],
'p_whatever' : [
'<#sci_astro#>','<#sci_astro#>','<#sci_astro#>',
'<#lit_mythology#>','<#lit_mythology#>','<#lit_mythology#>',
'<#lit_figures#>','<#lit_figures#>','<#lit_figures#>',
'<#p_figures_pop#>','<#p_figures_pop#>',
'<#p_miscellaneous#>',
'<#sci_elements#>'],
'left_or_right' : ['left', 'right'],
}
| 7,992
| 7,992
| 0.471346
| 867
| 7,992
| 4.16609
| 0.475202
| 0.023256
| 0.023256
| 0.005537
| 0.099391
| 0.070598
| 0.067553
| 0.055371
| 0.055371
| 0.045958
| 0
| 0.040995
| 0.255255
| 7,992
| 1
| 7,992
| 7,992
| 0.565524
| 1.023899
| 0
| 0.022989
| 0
| 0.011494
| 0.508384
| 0.031831
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.011494
| 0
| 0.011494
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9205fea1e7e13072dbd8b3514ba115f1acb96fd4
| 58
|
py
|
Python
|
core/bot/commands/__init__.py
|
osipov-andrey/control_bot
|
4e82da2eee762dd416db42091532f3e17f2dc7e7
|
[
"MIT"
] | 2
|
2021-04-24T08:56:15.000Z
|
2022-01-26T08:22:43.000Z
|
core/bot/commands/__init__.py
|
osipov-andrey/control_bot
|
4e82da2eee762dd416db42091532f3e17f2dc7e7
|
[
"MIT"
] | null | null | null |
core/bot/commands/__init__.py
|
osipov-andrey/control_bot
|
4e82da2eee762dd416db42091532f3e17f2dc7e7
|
[
"MIT"
] | null | null | null |
""" Package with command classes and command workflow """
| 29
| 57
| 0.741379
| 7
| 58
| 6.142857
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.155172
| 58
| 1
| 58
| 58
| 0.877551
| 0.844828
| 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
|
9206ae8c1ded9455c04771183d073e66e358e759
| 91
|
py
|
Python
|
.config-autokey-data-scripts/dt--2020-0131-1617.py
|
thenorili/nori-vimrc
|
a95bc8171d6fabee390ecc4afe6dad42ebd68d8e
|
[
"MIT"
] | 2
|
2020-06-17T15:35:42.000Z
|
2020-06-17T15:35:46.000Z
|
.config-autokey-data-scripts/dt--2020-0131-1617.py
|
thenorili/01dotfiles
|
a95bc8171d6fabee390ecc4afe6dad42ebd68d8e
|
[
"MIT"
] | null | null | null |
.config-autokey-data-scripts/dt--2020-0131-1617.py
|
thenorili/01dotfiles
|
a95bc8171d6fabee390ecc4afe6dad42ebd68d8e
|
[
"MIT"
] | null | null | null |
from datetime import datetime
keyboard.send_keys(datetime.now().strftime('%Y-%m%-d-%H%M'))
| 30.333333
| 60
| 0.736264
| 15
| 91
| 4.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054945
| 91
| 2
| 61
| 45.5
| 0.767442
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
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| 0
| 0
| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ecff8cc29178676affcd681a9eb8ac060df26609
| 876
|
py
|
Python
|
World 01/Class 06/ex004.py
|
DanielRios549/PythonExcercises
|
acb44a7cc383e8534f47bc59235d9cc04fd83880
|
[
"MIT"
] | 6
|
2021-05-04T22:09:16.000Z
|
2022-01-08T20:27:39.000Z
|
World 01/Class 06/ex004.py
|
DanielRios549/PythonExercises
|
acb44a7cc383e8534f47bc59235d9cc04fd83880
|
[
"MIT"
] | null | null | null |
World 01/Class 06/ex004.py
|
DanielRios549/PythonExercises
|
acb44a7cc383e8534f47bc59235d9cc04fd83880
|
[
"MIT"
] | null | null | null |
'''
Create a script that reads something and show the type and all informations about it.
'''
something = input('Type something: ')
print(f'The type of this value is \033[34m{type(something)}\033[m')
print(f'Has only spaces? \033[34m{something.isspace()}\033[m')
print(f'Is numeric? \033[34m{something.isnumeric()}\033[m')
print(f'Is alphabetic? \033[34m{something.isalpha()}\033[m')
print(f'Is alphamumeric? \033[34m{something.isalnum()}\033[m')
print(f'Is uppercase? \033[34m{something.isupper()}\033[m')
print(f'Is lowercase? \033[34m{something.islower()}\033[m')
print(f'Is capital? \033[34m{something.istitle()}\033[m')
print(f'Is decimal? \033[34m{something.isdecimal()}\033[m')
print(f'Is digit? \033[34m{something.isdigit()}\033[m')
print(f'Is printable? \033[34m{something.isprintable()}\033[m')
print(f'Is identifier? \033[34m{something.isidentifier()}\033[m')
| 48.666667
| 89
| 0.718037
| 144
| 876
| 4.368056
| 0.333333
| 0.114467
| 0.157393
| 0.174881
| 0.190779
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118812
| 0.077626
| 876
| 17
| 90
| 51.529412
| 0.659653
| 0.097032
| 0
| 0
| 0
| 0
| 0.799743
| 0.550706
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.923077
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
a688d7b2cfcd5058fb4a60373c1bf5f68850aafd
| 58,328
|
py
|
Python
|
codegen/comp_codegen.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | 2
|
2017-08-28T08:41:16.000Z
|
2018-05-29T03:49:36.000Z
|
codegen/comp_codegen.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | null | null | null |
codegen/comp_codegen.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
##############################################################################
# Project: arrayfunc
# Purpose: Generate the C code for math operations.
# Language: Python 3.4
# Date: 30-Dec-2017
#
###############################################################################
#
# Copyright 2014 - 2020 Michael Griffin <m12.griffin@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
##############################################################################
# ==============================================================================
import itertools
import codegen_common
# ==============================================================================
mathops_head = """//------------------------------------------------------------------------------
// Project: arrayfunc
// Module: %(funclabel)s.c
// Purpose: Calculate the %(funclabel)s of values in an array.
// Language: C
// Date: 15-Nov-2017.
//
//------------------------------------------------------------------------------
//
// Copyright 2014 - 2020 Michael Griffin <m12.griffin@gmail.com>
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
//------------------------------------------------------------------------------
/*--------------------------------------------------------------------------- */
// This must be defined before "Python.h" in order for the pointers in the
// argument parsing functions to work properly.
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#include <limits.h>
#include <math.h>
#include "arrayerrs.h"
#include "arrayparams_base.h"
#include "arrayparams_comp.h"
#include "simddefs.h"
#ifdef AF_HASSIMD_X86
#include "%(funclabel)s_simd_x86.h"
#endif
#if defined(AF_HASSIMD_ARMv7_32BIT) || defined(AF_HASSIMD_ARM_AARCH64)
#include "arm_neon.h"
#endif
#if defined(AF_HASSIMD_ARMv7_32BIT)
#include "%(funclabel)s_simd_armv7.h"
#endif
#if defined(AF_HASSIMD_ARM_AARCH64)
#include "%(funclabel)s_simd_armv8.h"
#endif
/*--------------------------------------------------------------------------- */
"""
# ==============================================================================
# The actual compare operations (non-SIMD).
ops_comp = """
/*--------------------------------------------------------------------------- */
/* The following series of functions reflect the different parameter options possible.
arraylen = The length of the data arrays.
data1 = The first data array.
data2 = The second data array.
param = The parameter to be applied to each array element.
*/
// param_arr_num
char %(funclabel)s_%(funcmodifier)s_1(Py_ssize_t arraylen, int nosimd, %(arraytype)s *data1, %(arraytype)s param) {
// array index counter.
Py_ssize_t x;
%(simd_call_1)s
for (x = 0; x < arraylen; x++) {
if (!(data1[x] %(copname)s param)) { return 0; }
}
return 1;
}
// param_num_arr
char %(funclabel)s_%(funcmodifier)s_3(Py_ssize_t arraylen, int nosimd, %(arraytype)s param, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t x;
%(simd_call_3)s
for (x = 0; x < arraylen; x++) {
if (!(param %(copname)s data2[x])) { return 0; }
}
return 1;
}
// param_arr_arr
char %(funclabel)s_%(funcmodifier)s_5(Py_ssize_t arraylen, int nosimd, %(arraytype)s *data1, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t x;
%(simd_call_5)s
for (x = 0; x < arraylen; x++) {
if (!(data1[x] %(copname)s data2[x])) { return 0; }
}
return 1;
}
"""
# ==============================================================================
# ==============================================================================
# The actual compare operations using SIMD operations for x86-64.
ops_simdsupport_x86 = """
/*--------------------------------------------------------------------------- */
/* The following series of functions reflect the different parameter options possible.
arraylen = The length of the data arrays.
data1 = The first data array.
data2 = The second data array.
param = The parameter to be applied to each array element.
*/
// param_arr_num for array code: %(arraycode)s
#if defined(AF_HASSIMD_X86)
char %(funclabel)s_%(funcmodifier)s_1_simd(Py_ssize_t arraylen, %(arraytype)s *data1, %(arraytype)s param) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
unsigned int y;
%(simdattr)s datasliceleft, datasliceright;
%(simdattr)s resultslice%(SIMD_x86_compslice)s;
%(arraytype)s compvals[%(simdwidth)s];
// Initialise the comparison values.
for (y = 0; y < %(simdwidth)s; y++) {
compvals[y] = param;
}
datasliceright = %(vldinstr)s compvals);
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
// On x86 we have to do this in a round-about fashion for some
// types of comparison operations due to how SIMD works on that
// platform.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceleft = %(vldinstr)s &data1[index]);
%(SIMD_x86_arr_num)s
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(data1[index] %(compare_ops)s param)) {
return 0;
}
}
return 1;
}
// param_num_arr
char %(funclabel)s_%(funcmodifier)s_3_simd(Py_ssize_t arraylen, %(arraytype)s param, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
unsigned int y;
%(simdattr)s datasliceleft, datasliceright;
%(simdattr)s resultslice%(SIMD_x86_compslice)s;
%(arraytype)s compvals[%(simdwidth)s];
// Initialise the comparison values.
for (y = 0; y < %(simdwidth)s; y++) {
compvals[y] = param;
}
datasliceleft = %(vldinstr)s compvals);
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
// On x86 we have to do this in a round-about fashion for some
// types of comparison operations due to how SIMD works on that
// platform.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceright = %(vldinstr)s &data2[index]);
%(SIMD_x86_num_arr)s
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(param %(compare_ops)s data2[index])) {
return 0;
}
}
return 1;
}
// param_arr_arr
char %(funclabel)s_%(funcmodifier)s_5_simd(Py_ssize_t arraylen, %(arraytype)s *data1, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
%(simdattr)s datasliceleft, datasliceright;
%(simdattr)s resultslice%(SIMD_x86_compslice)s;
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
// On x86 we have to do this in a round-about fashion for some
// types of comparison operations due to how SIMD works on that
// platform.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceleft = %(vldinstr)s &data1[index]);
datasliceright = %(vldinstr)s &data2[index]);
%(SIMD_x86_arr_arr)s
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(data1[index] %(compare_ops)s data2[index])) {
return 0;
}
}
return 1;
}
#endif
/*--------------------------------------------------------------------------- */
"""
# The actual compare operations using SIMD operations for ARMv7 NEON 32 bit.
ops_simdsupport_armv7 = """
/*--------------------------------------------------------------------------- */
/* ARMv7 32 bit SIMD.
The following series of functions reflect the different parameter options possible.
arraylen = The length of the data arrays.
data1 = The first data array.
data2 = The second data array.
param = The parameter to be applied to each array element.
*/
// param_arr_num
#if defined(AF_HASSIMD_ARMv7_32BIT)
char %(funclabel)s_%(funcmodifier)s_1_simd(Py_ssize_t arraylen, %(arraytype)s *data1, %(arraytype)s param) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
unsigned int y;
%(simdattr)s datasliceleft, datasliceright;
%(simdrsltattr)s resultslice;
%(arraytype)s compvals[%(simdwidth)s];
// Initialise the comparison values.
for (y = 0; y < %(simdwidth)s; y++) {
compvals[y] = param;
}
datasliceright = %(vldinstr)s( compvals);
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceleft = %(vldinstr)s( &data1[index]);
// The actual SIMD operation.
resultslice = %(SIMD_ARM_comp)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(%(vresult)s)) {
return 0;
}
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(data1[index] %(compare_ops)s param)) {
return 0;
}
}
return 1;
}
// param_num_arr
char %(funclabel)s_%(funcmodifier)s_3_simd(Py_ssize_t arraylen, %(arraytype)s param, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
unsigned int y;
%(simdattr)s datasliceleft, datasliceright;
%(simdrsltattr)s resultslice;
%(arraytype)s compvals[%(simdwidth)s];
// Initialise the comparison values.
for (y = 0; y < %(simdwidth)s; y++) {
compvals[y] = param;
}
datasliceleft = %(vldinstr)s( compvals);
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceright = %(vldinstr)s( &data2[index]);
// The actual SIMD operation.
resultslice = %(SIMD_ARM_comp)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(%(vresult)s)) {
return 0;
}
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(param %(compare_ops)s data2[index])) {
return 0;
}
}
return 1;
}
// param_arr_arr
char %(funclabel)s_%(funcmodifier)s_5_simd(Py_ssize_t arraylen, %(arraytype)s *data1, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
%(simdattr)s datasliceleft, datasliceright;
%(simdrsltattr)s resultslice;
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceleft = %(vldinstr)s( &data1[index]);
datasliceright = %(vldinstr)s( &data2[index]);
// The actual SIMD operation.
resultslice = %(SIMD_ARM_comp)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(%(vresult)s)) {
return 0;
}
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(data1[index] %(compare_ops)s data2[index])) {
return 0;
}
}
return 1;
}
#endif
/*--------------------------------------------------------------------------- */
"""
# The actual compare operations using SIMD operations for ARMv8 NEON 64 bit.
ops_simdsupport_armv8 = """
/*--------------------------------------------------------------------------- */
/* ARMv8 AARCH64 64 bit SIMD.
The following series of functions reflect the different parameter options possible.
arraylen = The length of the data arrays.
data1 = The first data array.
data2 = The second data array.
param = The parameter to be applied to each array element.
*/
// param_arr_num
#if defined(AF_HASSIMD_ARM_AARCH64)
char %(funclabel)s_%(funcmodifier)s_1_simd(Py_ssize_t arraylen, %(arraytype)s *data1, %(arraytype)s param) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
unsigned int y;
%(simdattr)s datasliceleft, datasliceright;
%(simdrsltattr)s resultslice;
%(arraytype)s compvals[%(simdwidth)s];
uint64x2_t veccombine;
uint64_t highresult, lowresult;
// Initialise the comparison values.
for (y = 0; y < %(simdwidth)s; y++) {
compvals[y] = param;
}
datasliceright = %(vldinstr)s( compvals);
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceleft = %(vldinstr)s( &data1[index]);
// The actual SIMD operation.
resultslice = %(SIMD_ARM_comp)s(datasliceleft, datasliceright);
// Combine the result to two 64 bit vectors.
veccombine = %(veccombine)s(resultslice);
// Get the high and low lanes of the combined vector.
lowresult = vgetq_lane_u64(veccombine, 0);
highresult = vgetq_lane_u64(veccombine, 1);
// Compare the results of the SIMD operation.
if ((lowresult != %(resultmask)s) || (highresult != %(resultmask)s)) {
return 0;
}
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(data1[index] %(compare_ops)s param)) {
return 0;
}
}
return 1;
}
// param_num_arr
char %(funclabel)s_%(funcmodifier)s_3_simd(Py_ssize_t arraylen, %(arraytype)s param, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
unsigned int y;
%(simdattr)s datasliceleft, datasliceright;
%(simdrsltattr)s resultslice;
%(arraytype)s compvals[%(simdwidth)s];
uint64x2_t veccombine;
uint64_t highresult, lowresult;
// Initialise the comparison values.
for (y = 0; y < %(simdwidth)s; y++) {
compvals[y] = param;
}
datasliceleft = %(vldinstr)s( compvals);
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceright = %(vldinstr)s( &data2[index]);
// The actual SIMD operation.
resultslice = %(SIMD_ARM_comp)s(datasliceleft, datasliceright);
// Combine the result to two 64 bit vectors.
veccombine = %(veccombine)s(resultslice);
// Get the high and low lanes of the combined vector.
lowresult = vgetq_lane_u64(veccombine, 0);
highresult = vgetq_lane_u64(veccombine, 1);
// Compare the results of the SIMD operation.
if ((lowresult != %(resultmask)s) || (highresult != %(resultmask)s)) {
return 0;
}
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(param %(compare_ops)s data2[index])) {
return 0;
}
}
return 1;
}
// param_arr_arr
char %(funclabel)s_%(funcmodifier)s_5_simd(Py_ssize_t arraylen, %(arraytype)s *data1, %(arraytype)s *data2) {
// array index counter.
Py_ssize_t index;
// SIMD related variables.
Py_ssize_t alignedlength;
%(simdattr)s datasliceleft, datasliceright;
%(simdrsltattr)s resultslice;
uint64x2_t veccombine;
uint64_t highresult, lowresult;
// Calculate array lengths for arrays whose lengths which are not even
// multipes of the SIMD slice length.
alignedlength = arraylen - (arraylen %% %(simdwidth)s);
// Perform the main operation using SIMD instructions.
for (index = 0; index < alignedlength; index += %(simdwidth)s) {
datasliceleft = %(vldinstr)s( &data1[index]);
datasliceright = %(vldinstr)s( &data2[index]);
// The actual SIMD operation.
resultslice = %(SIMD_ARM_comp)s(datasliceleft, datasliceright);
// Combine the result to two 64 bit vectors.
veccombine = %(veccombine)s(resultslice);
// Get the high and low lanes of the combined vector.
lowresult = vgetq_lane_u64(veccombine, 0);
highresult = vgetq_lane_u64(veccombine, 1);
// Compare the results of the SIMD operation.
if ((lowresult != %(resultmask)s) || (highresult != %(resultmask)s)) {
return 0;
}
}
// Get the max value within the left over elements at the end of the array.
for (index = alignedlength; index < arraylen; index++) {
if (!(data1[index] %(compare_ops)s data2[index])) {
return 0;
}
}
return 1;
}
#endif
/*--------------------------------------------------------------------------- */
"""
# ==============================================================================
# This is the set of function calls used to call each operator function.
compcall = """
// %(funcmodifier)s
case '%(arraycode)s' : {
switch (arraydata.paramcat) {
case param_arr_num : {
resultcode = %(funclabel)s_%(funcmodifier)s_1(arraydata.arraylength, arraydata.nosimd, arraydata.array1.%(arraycode)s, arraydata.param.%(arraycode)s);
break;
}
case param_num_arr : {
resultcode = %(funclabel)s_%(funcmodifier)s_3(arraydata.arraylength, arraydata.nosimd, arraydata.param.%(arraycode)s, arraydata.array2.%(arraycode)s);
break;
}
case param_arr_arr : {
resultcode = %(funclabel)s_%(funcmodifier)s_5(arraydata.arraylength, arraydata.nosimd, arraydata.array1.%(arraycode)s, arraydata.array2.%(arraycode)s);
break;
}
}
break;
}
"""
# ==============================================================================
# Calls to parameter parseing and the implementing functions.
comp_params = """
/*--------------------------------------------------------------------------- */
/* The wrapper to the underlying C function */
static PyObject *py_%(funclabel)s(PyObject *self, PyObject *args, PyObject *keywds) {
// The error code returned by the function.
char resultcode = 0;
// This is used to hold the parsed parameters.
struct args_params_comp arraydata = ARGSINIT_COMP;
// -----------------------------------------------------
// Get the parameters passed from Python.
arraydata = getparams_comp(self, args, keywds, "%(funclabel)s");
// If there was an error, we count on the parameter parsing function to
// release the buffers if this was necessary.
if (arraydata.error) {
return NULL;
}
// Call the C function.
switch(arraydata.arraytype) {
%(opscall)s
// Wrong array type code.
default: {
releasebuffers_comp(arraydata);
ErrMsgTypeExpectFloat();
return NULL;
break;
}
}
// Release the buffers.
releasebuffers_comp(arraydata);
// Return whether compare was OK.
if (resultcode) {
Py_RETURN_TRUE;
} else {
Py_RETURN_FALSE;
}
}
/*--------------------------------------------------------------------------- */
/* The module doc string */
PyDoc_STRVAR(%(funclabel)s__doc__,
"%(funclabel)s \\n\\
_____________________________ \\n\\
\\n\\
Calculate %(funclabel)s over the values in an array. \\n\\
\\n\\
====================== ============================================== \\n\\
Equivalent to: all([x %(compare_ops)s param for x in array1]) \\n\\
or all([param %(compare_ops)s x for x in array1]) \\n\\
or all([x %(compare_ops)s y for x,y in zip(array1, array2)]) \\n\\
====================== ============================================== \\n\\
\\n\\
====================== ============================================== \\n\\
Array types supported: %(supportedarrays)s \\n\\
====================== ============================================== \\n\\
\\n\\
Call formats: \\n\\
\\n\\
result = %(funclabel)s(array1, param) \\n\\
result = %(funclabel)s(param, array1) \\n\\
result = %(funclabel)s(array1, array2) \\n\\
result = %(funclabel)s(array1, param, maxlen=y) \\n\\
result = %(funclabel)s(array1, param, nosimd=False) \\n\\
\\n\\
* array1 - The first input data array to be examined. If no output \\n\\
array is provided the results will overwrite the input data. \\n\\
* param - A non-array numeric parameter. \\n\\
* array2 - A second input data array. Each element in this array is \\n\\
applied to the corresponding element in the first array. \\n\\
* maxlen - Limit the length of the array used. This must be a valid \\n\\
positive integer. If a zero or negative length, or a value which is \\n\\
greater than the actual length of the array is specified, this \\n\\
parameter is ignored. \\n\\
* nosimd - If True, SIMD acceleration is disabled if present. \\n\\
The default is False (SIMD acceleration is enabled if present). \\n\\
* result - A boolean value corresponding to the result of all the \\n\\
comparison operations. If all comparison operations result in true, \\n\\
the return value will be true. If any of them result in false, the \\n\\
return value will be false. \\n\\
");
/*--------------------------------------------------------------------------- */
/* A list of all the methods defined by this module.
"%(funclabel)s" is the name seen inside of Python.
"py_%(funclabel)s" is the name of the C function handling the Python call.
"METH_VARGS" tells Python how to call the handler.
The {NULL, NULL} entry indicates the end of the method definitions. */
static PyMethodDef %(funclabel)s_methods[] = {
{"%(funclabel)s", (PyCFunction)py_%(funclabel)s, METH_VARARGS | METH_KEYWORDS, %(funclabel)s__doc__},
{NULL, NULL, 0, NULL}
};
static struct PyModuleDef %(funclabel)smodule = {
PyModuleDef_HEAD_INIT,
"%(funclabel)s",
NULL,
-1,
%(funclabel)s_methods
};
PyMODINIT_FUNC PyInit_%(funclabel)s(void)
{
return PyModule_Create(&%(funclabel)smodule);
};
/*--------------------------------------------------------------------------- */
"""
# ==============================================================================
# SIMD call, version 1.
SIMD_calltemplate_1 = '''\n%(simdplatform)s
// SIMD version.
if (!nosimd && (arraylen >= (%(simdwidth)s * 2))) {
return %(funclabel)s_%(funcmodifier)s_1_simd(arraylen, data1, param);
}
#endif\n'''
# SIMD call, version 3.
SIMD_calltemplate_3 = '''\n%(simdplatform)s
// SIMD version.
if (!nosimd && (arraylen >= (%(simdwidth)s * 2))) {
return %(funclabel)s_%(funcmodifier)s_3_simd(arraylen, param, data2);
}
#endif\n'''
# SIMD call, version 5.
SIMD_calltemplate_5 = '''\n%(simdplatform)s
// SIMD version.
if (!nosimd && (arraylen >= (%(simdwidth)s * 2))) {
return %(funclabel)s_%(funcmodifier)s_5_simd(arraylen, data1, data2);
}
#endif\n'''
# ==============================================================================
# ==============================================================================
# SIMD code for x86. These handle the comparison operations. This must be
# done in a round about way for x86 due to the way it works on that platform.
# This set covers unsigned integer operations only.
# param_arr_num
SIMD_x86_uint_arr_num = {
'eq' : '''// Compare the slices.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ge' : '''// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Check the results of the SIMD operation.
if ((__builtin_ia32_pmovmskb128((v16qi) resultslice) != 0xffff)) {
return 0;
}''',
'gt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Check the results of the SIMD operation.
if ((__builtin_ia32_pmovmskb128((v16qi) resultslice) != 0xffff)) {
return 0;
}''',
'le' : '''// Find the maximum values.
compslice = %(vmaxinstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if ((__builtin_ia32_pmovmskb128((v16qi) resultslice) != 0xffff)) {
return 0;
}''',
'lt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Find the maximum values.
compslice = %(vmaxinstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if ((__builtin_ia32_pmovmskb128((v16qi) resultslice) != 0xffff)) {
return 0;
}''',
'ne' : '''// Compare for equality.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
}
# param_num_arr
SIMD_x86_uint_num_arr = {
'eq' : '''// Compare the slices.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ge' : '''// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'gt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'le' : '''// Find the maximum values.
compslice = %(vmaxinstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'lt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Find the maximum values.
compslice = %(vmaxinstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ne' : '''// Compare for equality.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
}
# param_arr_arr
SIMD_x86_uint_arr_arr = {
'eq' : '''// Compare the slices.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ge' : '''// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'gt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'le' : '''// Find the maximum values.
compslice = %(vmaxinstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'lt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Find the maximum values.
compslice = %(vmaxinstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ne' : '''// Compare for equality.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
}
# ==============================================================================
# SIMD code for x86. This set covers signed integer operations only.
# param_arr_num
SIMD_x86_int_arr_num = {
'eq' : '''// Compare the slices.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ge' : '''// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Check the results of the SIMD operation.
if ((__builtin_ia32_pmovmskb128((v16qi) resultslice) != 0xffff)) {
return 0;
}''',
'gt' : '''// Compare the slices.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'le' : '''// Compare the slices.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
'lt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Make sure they're not greater than.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
'ne' : '''// Compare for equality.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
}
# param_num_arr
SIMD_x86_int_num_arr = {
'eq' : '''// Compare the slices.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ge' : '''// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'gt' : '''// Compare the slices.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'le' : '''// Compare the slices.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
'lt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Make sure they're not greater than.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
'ne' : '''// Compare for equality.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
}
# param_arr_arr
SIMD_x86_int_arr_arr = {
'eq' : '''// Compare the slices.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'ge' : '''// Find the minimum values.
compslice = %(vmininstr)s(datasliceleft, datasliceright);
// If this is different from our compare parameter, then the test
// has failed.
resultslice = %(veqinstr)s(compslice, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'gt' : '''// Compare the slices.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}''',
'le' : '''// Compare the slices.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
'lt' : '''// Make sure they're not equal.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}
// Make sure they're not greater than.
resultslice = %(vgtinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
'ne' : '''// Compare for equality.
resultslice = %(veqinstr)s(datasliceleft, datasliceright);
// Compare the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0x0000)) {
return 0;
}''',
}
# ==============================================================================
# Templates for x86 SIMD.
x86_unsigned_templates = {'arr_num' : SIMD_x86_uint_arr_num,
'num_arr' : SIMD_x86_uint_num_arr,
'arr_arr' : SIMD_x86_uint_arr_arr}
x86_signed_templates = {'arr_num' : SIMD_x86_int_arr_num,
'num_arr' : SIMD_x86_int_num_arr,
'arr_arr' : SIMD_x86_int_arr_arr}
SIMD_x86_SIMD_templates = {
'b' : x86_signed_templates,
'B' : x86_unsigned_templates,
'h' : x86_signed_templates,
'H' : x86_unsigned_templates,
'i' : x86_signed_templates,
'I' : x86_unsigned_templates,
}
# x86 SIMD attributes.
simdattr_x86 = {
'b' : 'v16qi',
'B' : 'v16qi',
'h' : 'v8hi',
'H' : 'v8hi',
'i' : 'v4si',
'I' : 'v4si',
'f' : 'v4sf',
'd' : 'v2df',
}
# x86 SIMD load instructions.
vldinstr_x86 = {
'b' : '(v16qi) __builtin_ia32_lddqu((char *) ',
'B' : '(v16qi) __builtin_ia32_lddqu((char *) ',
'h' : '(v8hi) __builtin_ia32_lddqu((char *) ',
'H' : '(v8hi) __builtin_ia32_lddqu((char *) ',
'i' : '(v4si) __builtin_ia32_lddqu((char *) ',
'I' : '(v4si) __builtin_ia32_lddqu((char *) ',
'f' : '(v4sf) __builtin_ia32_loadups( ',
'd' : '(v2df) __builtin_ia32_loadupd( ',
}
veqinstr_x86 = {
'b' : '__builtin_ia32_pcmpeqb128',
'B' : '__builtin_ia32_pcmpeqb128',
'h' : '__builtin_ia32_pcmpeqw128',
'H' : '__builtin_ia32_pcmpeqw128',
'i' : '__builtin_ia32_pcmpeqd128',
'I' : '__builtin_ia32_pcmpeqd128',
}
vmininstr_x86 = {
'b' : '__builtin_ia32_pminsb128',
'B' : '__builtin_ia32_pminub128',
'h' : '__builtin_ia32_pminsw128',
'H' : '__builtin_ia32_pminuw128',
'i' : '__builtin_ia32_pminsd128',
'I' : '__builtin_ia32_pminud128',
}
vmaxinstr_x86 = {
'b' : '__builtin_ia32_pmaxsb128',
'B' : '__builtin_ia32_pmaxub128',
'h' : '__builtin_ia32_pmaxsw128',
'H' : '__builtin_ia32_pmaxuw128',
'i' : '__builtin_ia32_pmaxsd128',
'I' : '__builtin_ia32_pmaxud128',
}
vgtinstr_x86 = {
'b' : '__builtin_ia32_pcmpgtb128',
'B' : '',
'h' : '__builtin_ia32_pcmpgtw128',
'H' : '',
'i' : '__builtin_ia32_pcmpgtd128',
'I' : '',
}
# Which compare operations need an additional vector for intermediate results.
# This depends both upon array type and function.
compslice = ', compslice'
compslice_uint_x86 = {
'eq' : '',
'ge' : compslice,
'gt' : compslice,
'le' : compslice,
'lt' : compslice,
'ne' : ''
}
compslice_int_x86 = {
'eq' : '',
'ge' : compslice,
'gt' : '',
'le' : '',
'lt' : '',
'ne' : ''
}
SIMD_x86_compslice = {
'b' : compslice_int_x86,
'B' : compslice_uint_x86,
'h' : compslice_int_x86,
'H' : compslice_uint_x86,
'i' : compslice_int_x86,
'I' : compslice_uint_x86,
}
# ==============================================================================
# SIMD code for x86. This set covers single and double floating point
# operations only. On x86, floating point SIMD operations are much
# more regular and complete than for integer operations.
SIMD_x86_float = '''// Compare the slices.
resultslice = %(vcmpinstr)s(datasliceleft, datasliceright);
// Check the results of the SIMD operation.
if (!(__builtin_ia32_pmovmskb128((v16qi) resultslice) == 0xffff)) {
return 0;
}'''
vfloat_ops_x86 = {
'f' : {
'eq' : '__builtin_ia32_cmpeqps',
'ge' : '__builtin_ia32_cmpgeps',
'gt' : '__builtin_ia32_cmpgtps',
'le' : '__builtin_ia32_cmpleps',
'lt' : '__builtin_ia32_cmpltps',
'ne' : '__builtin_ia32_cmpneqps'
},
'd' : {
'eq' : '__builtin_ia32_cmpeqpd',
'ge' : '__builtin_ia32_cmpgepd',
'gt' : '__builtin_ia32_cmpgtpd',
'le' : '__builtin_ia32_cmplepd',
'lt' : '__builtin_ia32_cmpltpd',
'ne' : '__builtin_ia32_cmpneqpd'
}
}
# ==============================================================================
# Total list of which array types are supported by x86 SIMD instructions.
SIMD_x86_support = simdattr_x86.keys()
# ==============================================================================
# ==============================================================================
# For ARM NEON ARMv7 32 bit.
# Benchmarking has shown that some SIMD operations are slower than the
# non-SIMD versions and so are not used here.
simdattr_armv7 = {
'b' : 'int8x8_t',
'B' : 'uint8x8_t',
'h' : 'int16x4_t',
'H' : 'uint16x4_t',
}
simdrsltattr_armv7 = {
'b' : 'uint8x8_t',
'B' : 'uint8x8_t',
'h' : 'uint16x4_t',
'H' : 'uint16x4_t',
}
# Load values to SIMD registers.
vldinstr_armv7 = {
'b' : 'vld1_s8',
'B' : 'vld1_u8',
'h' : 'vld1_s16',
'H' : 'vld1_u16',
}
# Compare result to see if OK. This depends both on size and also
# 'ne' must be handled differently.
vresult_8_armv7 = 'vreinterpret_u64_u8(resultslice) == 0xffffffffffffffff'
vresult_16_armv7 = 'vreinterpret_u64_u16(resultslice) == 0xffffffffffffffff'
vresult_8_ne_armv7 = 'vreinterpret_u64_u8(resultslice) == 0x0000000000000000'
vresult_16_ne_armv7 = 'vreinterpret_u64_u16(resultslice) == 0x0000000000000000'
vreslt_8_total_armv7 = {
'eq' : vresult_8_armv7,
'ge' : vresult_8_armv7,
'gt' : vresult_8_armv7,
'le' : vresult_8_armv7,
'lt' : vresult_8_armv7,
'ne' : vresult_8_ne_armv7,
}
vresult_16_total_armv7 = {
'eq' : vresult_16_armv7,
'ge' : vresult_16_armv7,
'gt' : vresult_16_armv7,
'le' : vresult_16_armv7,
'lt' : vresult_16_armv7,
'ne' : vresult_16_ne_armv7,
}
# The above combined so we can look it up.
vresult_armv7 = {
'b' : vreslt_8_total_armv7,
'B' : vreslt_8_total_armv7,
'h' : vresult_16_total_armv7,
'H' : vresult_16_total_armv7,
}
# The ARM SIMD ops for compare. The NE op must be combined with a
# different vresult as there is no actual not equal op.
vsimdops_armv7 = {
'b' : {
'eq' : 'vceq_s8',
'ge' : 'vcge_s8',
'gt' : 'vcgt_s8',
'le' : 'vcle_s8',
'lt' : 'vclt_s8',
'ne' : 'vceq_s8'
},
'B' : {
'eq' : 'vceq_u8',
'ge' : 'vcge_u8',
'gt' : 'vcgt_u8',
'le' : 'vcle_u8',
'lt' : 'vclt_u8',
'ne' : 'vceq_u8'
},
'h' : {
'eq' : 'vceq_s16',
'ge' : 'vcge_s16',
'gt' : 'vcgt_s16',
'le' : 'vcle_s16',
'lt' : 'vclt_s16',
'ne' : 'vceq_s16'
},
'H' : {
'eq' : 'vceq_u16',
'ge' : 'vcge_u16',
'gt' : 'vcgt_u16',
'le' : 'vcle_u16',
'lt' : 'vclt_u16',
'ne' : 'vceq_u16'
},
}
# ==============================================================================
# Total list of which array types are supported by ARM SIMD instructions.
SIMD_armv7_support = simdattr_armv7.keys()
# ==============================================================================
# For ARM NEON armv8 64 bit.
# Benchmarking has shown that some SIMD operations are slower than the
# non-SIMD versions and so are not used here.
vsimdattr_armv8 = {
'b' : 'int8x16_t',
'B' : 'uint8x16_t',
'h' : 'int16x8_t',
'H' : 'uint16x8_t',
'i' : 'int32x4_t',
'I' : 'uint32x4_t',
'f' : 'float32x4_t',
}
vsimdrsltattr_armv8 = {
'b' : 'uint8x16_t',
'B' : 'uint8x16_t',
'h' : 'uint16x8_t',
'H' : 'uint16x8_t',
'i' : 'uint32x4_t',
'I' : 'uint32x4_t',
'f' : 'uint32x4_t',
}
# Load values to SIMD registers.
vldinstr_armv8 = {
'b' : 'vld1q_s8',
'B' : 'vld1q_u8',
'h' : 'vld1q_s16',
'H' : 'vld1q_u16',
'i' : 'vld1q_s32',
'I' : 'vld1q_u32',
'f' : 'vld1q_f32',
}
# Combine the result vectors into two 64 bit vectors.
veccombine_armv8 = {
'b' : 'vreinterpretq_u64_u8',
'B' : 'vreinterpretq_u64_u8',
'h' : 'vreinterpretq_u64_u16',
'H' : 'vreinterpretq_u64_u16',
'i' : 'vreinterpretq_u64_u32',
'I' : 'vreinterpretq_u64_u32',
'f' : 'vreinterpretq_u64_u32',
}
# Compare result to see if OK. This depends both on size and also
# 'ne' must be handled differently.
vresultmask_ops_armv8 = '0xffffffffffffffff'
vresultmask_ne_armv8 = '0x0000000000000000'
vresultmask_armv8 = {
'eq' : vresultmask_ops_armv8,
'ge' : vresultmask_ops_armv8,
'gt' : vresultmask_ops_armv8,
'le' : vresultmask_ops_armv8,
'lt' : vresultmask_ops_armv8,
'ne' : vresultmask_ne_armv8,
}
# The ARM SIMD ops for compare. The NE op must be combined with a
# different vresult as there is no actual not equal op.
vsimdops_armv8 = {
'b' : {
'eq' : 'vceqq_s8',
'ge' : 'vcgeq_s8',
'gt' : 'vcgtq_s8',
'le' : 'vcleq_s8',
'lt' : 'vcltq_s8',
'ne' : 'vceqq_s8'
},
'B' : {
'eq' : 'vceqq_u8',
'ge' : 'vcgeq_u8',
'gt' : 'vcgtq_u8',
'le' : 'vcleq_u8',
'lt' : 'vcltq_u8',
'ne' : 'vceqq_u8'
},
'h' : {
'eq' : 'vceqq_s16',
'ge' : 'vcgeq_s16',
'gt' : 'vcgtq_s16',
'le' : 'vcleq_s16',
'lt' : 'vcltq_s16',
'ne' : 'vceqq_s16'
},
'H' : {
'eq' : 'vceqq_u16',
'ge' : 'vcgeq_u16',
'gt' : 'vcgtq_u16',
'le' : 'vcleq_u16',
'lt' : 'vcltq_u16',
'ne' : 'vceqq_u16'
},
'i' : {
'eq' : 'vceqq_s32',
'ge' : 'vcgeq_s32',
'gt' : 'vcgtq_s32',
'le' : 'vcleq_s32',
'lt' : 'vcltq_s32',
'ne' : 'vceqq_s32'
},
'I' : {
'eq' : 'vceqq_u32',
'ge' : 'vcgeq_u32',
'gt' : 'vcgtq_u32',
'le' : 'vcleq_u32',
'lt' : 'vcltq_u32',
'ne' : 'vceqq_u32'
},
'f' : {
'eq' : 'vceqq_f32',
'ge' : 'vcgeq_f32',
'gt' : 'vcgtq_f32',
'le' : 'vcleq_f32',
'lt' : 'vcltq_f32',
'ne' : 'vceqq_f32'
},
}
# ==============================================================================
# Total list of which array types are supported by ARM SIMD instructions.
SIMD_armv8_support = vsimdattr_armv8.keys()
# ==============================================================================
# Width of array elements.
simdwidth = {'b' : 'CHARSIMDSIZE',
'B' : 'CHARSIMDSIZE',
'h' : 'SHORTSIMDSIZE',
'H' : 'SHORTSIMDSIZE',
'i' : 'INTSIMDSIZE',
'I' : 'INTSIMDSIZE',
'f' : 'FLOATSIMDSIZE',
'd' : 'DOUBLESIMDSIZE',
}
# ==============================================================================
# Compare operations.
compare_ops = {
'eq' : '==',
'ge' : '>=',
'gt' : '>',
'le' : '<=',
'lt' : '<',
'ne' : '!='
}
# ==============================================================================
# These get substituted into function call templates.
SIMD_platform_x86 = '#if defined(AF_HASSIMD_X86)'
SIMD_platform_x86_ARM = '#if defined(AF_HASSIMD_X86) || defined(AF_HASSIMD_ARMv7_32BIT) || defined(AF_HASSIMD_ARM_AARCH64)'
SIMD_platform_x86_ARMv8 = '#if defined(AF_HASSIMD_X86) || defined(AF_HASSIMD_ARM_AARCH64)'
SIMD_platform_ARMv7 = '#if defined(AF_HASSIMD_ARMv7_32BIT)'
SIMD_platform_ARM64v8 = '#if defined(AF_HASSIMD_ARM_AARCH64)'
# ==============================================================================
# Return the platform SIMD enable C macro.
# This is for the platform independent file, and not the plaform specific
# SIMD files.
def findsimdplatform(arraycode):
hasx86 = arraycode in SIMD_x86_support
hasarmv7 = arraycode in SIMD_armv7_support
hasarmv8 = arraycode in SIMD_armv8_support
# Only the platforms combinations which are used currently are defined here.
if hasx86 and hasarmv7 and hasarmv8:
return SIMD_platform_x86_ARM
elif hasx86 and (not hasarmv7) and (not hasarmv8):
return SIMD_platform_x86
elif hasx86 and (not hasarmv7) and hasarmv8:
return SIMD_platform_x86_ARMv8
else:
return 'Error: Template error, this should not be here.'
# ==============================================================================
# ==============================================================================
# Read in the op codes.
opdata = codegen_common.ReadINI('affuncdata.ini')
# Filter out the desired math functions.
funclist = [(x,dict(y)) for x,y in opdata.items() if y.get('c_code_template') == 'template_comp']
# ==============================================================================
# Output the main code body.
for funcname, func in funclist:
# Create the source code based on templates.
filename = funcname + '.c'
with open(filename, 'w') as f:
funcdata = {'funclabel' : funcname}
f.write(mathops_head % {'funclabel' : funcname})
opscalltext = []
# Check each array type.
for arraycode in codegen_common.arraycodes:
funcdata['funcmodifier'] = codegen_common.arraytypes[arraycode].replace(' ', '_')
funcdata['arraytype'] = codegen_common.arraytypes[arraycode]
if arraycode == 'f':
funcdata['copname'] = func['c_operator_f']
elif arraycode == 'd':
funcdata['copname'] = func['c_operator_d']
elif arraycode in codegen_common.intarrays:
funcdata['copname'] = func['c_operator_i']
else:
print('Error - Unsupported array code.', arraycode)
# Each call to an SIMD function comes in three different versions due
# to there being three different parameter formats.
if arraycode in (set(SIMD_x86_support) | set(SIMD_armv7_support) | set(SIMD_armv8_support)):
simdfunccall = {'simdwidth' : simdwidth[arraycode],
'funclabel' : funcdata['funclabel'],
'funcmodifier' : funcdata['funcmodifier'],
'simdplatform' : findsimdplatform(arraycode),}
simd_call_1 = SIMD_calltemplate_1 % simdfunccall
simd_call_3 = SIMD_calltemplate_3 % simdfunccall
simd_call_5 = SIMD_calltemplate_5 % simdfunccall
else:
simd_call_1 = ''
simd_call_3 = ''
simd_call_5 = ''
funcdata['simd_call_1'] = simd_call_1
funcdata['simd_call_3'] = simd_call_3
funcdata['simd_call_5'] = simd_call_5
f.write(ops_comp % funcdata)
# This is the call to the functions for this array type. This
# is inserted into another template below.
funcdata['arraycode'] = arraycode
opscalltext.append(compcall % funcdata)
supportedarrays = codegen_common.FormatDocsArrayTypes(func['arraytypes'])
f.write(comp_params % {'funclabel' : funcname,
'opcodedocs' : func['opcodedocs'],
'compare_ops' : compare_ops[funcname],
'supportedarrays' : supportedarrays,
'matherrors' : ', '.join(func['matherrors'].split(',')),
'opscall' : ''.join(opscalltext),
'simd_call_1' : simd_call_1,
'simd_call_3' : simd_call_3,
'simd_call_5' : simd_call_5})
# ==============================================================================
# ==============================================================================
# The original date of the SIMD C code.
simdcodedate = '16-Jan-2018'
simdfilename = '_simd_x86'
# This outputs the SIMD version for x86-64.
for funcname, func in funclist:
outputlist = []
# This provides the description in the header of the file.
maindescription = 'Calculate the %s of values in an array.' % funcname
# Output the generated code.
# Handle integer operations.
for arraycode in SIMD_x86_SIMD_templates:
arraytype = codegen_common.arraytypes[arraycode]
# This fetches the individual SIMD instructions.
template_instr = {'veqinstr' : veqinstr_x86[arraycode],
'vmininstr' : vmininstr_x86[arraycode],
'vmaxinstr' : vmaxinstr_x86[arraycode],
'vgtinstr' : vgtinstr_x86[arraycode],
}
# These templates put the SIMD instructions together for the
# final template.
template_arr_num = SIMD_x86_SIMD_templates[arraycode]['arr_num'][funcname] % template_instr
template_num_arr = SIMD_x86_SIMD_templates[arraycode]['num_arr'][funcname] % template_instr
template_arr_arr = SIMD_x86_SIMD_templates[arraycode]['arr_arr'][funcname] % template_instr
# The compare_ops symbols is the same for integer and floating point.
datavals = {'funclabel' : funcname,
'arraytype' : arraytype,
'funcmodifier' : arraytype.replace(' ', '_'),
'arraycode' : arraycode,
'compare_ops' : compare_ops[funcname],
'simdwidth' : simdwidth[arraycode],
'simdattr' : simdattr_x86[arraycode],
'vldinstr' : vldinstr_x86[arraycode],
'SIMD_x86_compslice' : SIMD_x86_compslice[arraycode][funcname],
'SIMD_x86_arr_num' : template_arr_num,
'SIMD_x86_num_arr' : template_num_arr,
'SIMD_x86_arr_arr' : template_arr_arr
}
# Start of function definition.
outputlist.append(ops_simdsupport_x86 % datavals)
# Handle floating point operations.
for arraycode in vfloat_ops_x86:
arraytype = codegen_common.arraytypes[arraycode]
template_instr = {'vcmpinstr' : vfloat_ops_x86[arraycode][funcname]}
template_float = SIMD_x86_float % template_instr
# The compare_ops symbols is the same for integer and floating point.
datavals = {'funclabel' : funcname,
'arraytype' : arraytype,
'funcmodifier' : arraytype.replace(' ', '_'),
'arraycode' : arraycode,
'compare_ops' : compare_ops[funcname],
'simdwidth' : simdwidth[arraycode],
'simdattr' : simdattr_x86[arraycode],
'vldinstr' : vldinstr_x86[arraycode],
'SIMD_x86_compslice' : '',
'SIMD_x86_arr_num' : template_float,
'SIMD_x86_num_arr' : template_float,
'SIMD_x86_arr_arr' : template_float
}
# Start of function definition.
outputlist.append(ops_simdsupport_x86 % datavals)
# This outputs the SIMD version.
codegen_common.OutputSourceCode(funcname + simdfilename + '.c', outputlist,
maindescription,
codegen_common.SIMDDescription,
simdcodedate,
'', ['simddefs'])
# Output the .h header file.
headedefs = codegen_common.GenSIMDCHeaderText(outputlist, funcname)
# Write out the file.
codegen_common.OutputCHeader(funcname + simdfilename + '.h', headedefs,
maindescription,
codegen_common.SIMDDescription,
simdcodedate)
# ==============================================================================
# ==============================================================================
# The original date of the SIMD C code.
simdcodedate = '06-Oct-2019'
simdfilename = '_simd_armv7'
# This outputs the SIMD version for ARM NEON ARMv7 32 bit.
for funcname, func in funclist:
outputlist = []
# This provides the description in the header of the file.
maindescription = 'Calculate the %s of values in an array.' % funcname
# Output the generated code.
for arraycode in SIMD_armv7_support:
arraytype = codegen_common.arraytypes[arraycode]
# The compare_ops symbols is the same for integer and floating point.
datavals = {'funclabel' : funcname,
'arraytype' : arraytype,
'funcmodifier' : arraytype.replace(' ', '_'),
'simdwidth' : simdwidth[arraycode],
'arraycode' : arraycode,
'arraytype' : codegen_common.arraytypes[arraycode],
'compare_ops' : compare_ops[funcname],
'simdattr' : simdattr_armv7[arraycode],
'simdrsltattr' : simdrsltattr_armv7[arraycode],
'vldinstr' : vldinstr_armv7[arraycode],
'vresult' : vresult_armv7[arraycode][funcname],
'SIMD_ARM_comp' : vsimdops_armv7[arraycode][funcname],
}
# Start of function definition.
outputlist.append(ops_simdsupport_armv7 % datavals)
# This outputs the SIMD version.
codegen_common.OutputSourceCode(funcname + simdfilename + '.c', outputlist,
maindescription,
codegen_common.SIMDDescription,
simdcodedate,
'', ['simddefs', 'simdmacromsg_armv7'])
# Output the .h header file.
headedefs = codegen_common.GenSIMDCHeaderText(outputlist, funcname)
# Write out the file.
codegen_common.OutputCHeader(funcname + simdfilename + '.h', headedefs,
maindescription,
codegen_common.SIMDDescription,
simdcodedate)
# ==============================================================================
# ==============================================================================
# The original date of the SIMD C code.
simdcodedate = '22-Mar-2020'
simdfilename = '_simd_armv8'
# This outputs the SIMD version for ARM NEON ARMv8 64 bit.
for funcname, func in funclist:
outputlist = []
# This provides the description in the header of the file.
maindescription = 'Calculate the %s of values in an array.' % funcname
# Output the generated code.
for arraycode in codegen_common.arraycodes:
if arraycode in SIMD_armv8_support:
arraytype = codegen_common.arraytypes[arraycode]
# The compare_ops symbols is the same for integer and floating point.
datavals = {'funclabel' : funcname,
'arraytype' : arraytype,
'funcmodifier' : arraytype.replace(' ', '_'),
'simdwidth' : simdwidth[arraycode],
'arraycode' : arraycode,
'arraytype' : codegen_common.arraytypes[arraycode],
'compare_ops' : compare_ops[funcname],
'simdattr' : vsimdattr_armv8[arraycode],
'simdrsltattr' : vsimdrsltattr_armv8[arraycode],
'veccombine' : veccombine_armv8[arraycode],
'resultmask' : vresultmask_armv8[funcname],
'vldinstr' : vldinstr_armv8[arraycode],
'SIMD_ARM_comp' : vsimdops_armv8[arraycode][funcname],
}
# Start of function definition.
outputlist.append(ops_simdsupport_armv8 % datavals)
# This outputs the SIMD version.
codegen_common.OutputSourceCode(funcname + simdfilename + '.c', outputlist,
maindescription,
codegen_common.SIMDDescription,
simdcodedate,
'', ['simddefs', 'simdmacromsg_armv8'])
# Output the .h header file.
headedefs = codegen_common.GenSIMDCHeaderText(outputlist, funcname)
# Write out the file.
codegen_common.OutputCHeader(funcname + simdfilename + '.h', headedefs,
maindescription,
codegen_common.SIMDDescription,
simdcodedate)
# ==============================================================================
| 30.004115
| 156
| 0.634841
| 6,866
| 58,328
| 5.210312
| 0.091756
| 0.026751
| 0.047744
| 0.03086
| 0.735059
| 0.702438
| 0.68041
| 0.663694
| 0.651814
| 0.645441
| 0
| 0.033264
| 0.165032
| 58,328
| 1,943
| 157
| 30.019557
| 0.701285
| 0.130829
| 0
| 0.554688
| 1
| 0.012784
| 0.761717
| 0.175313
| 0
| 0
| 0.007633
| 0
| 0
| 1
| 0.00071
| false
| 0.00071
| 0.00142
| 0
| 0.06179
| 0.00071
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a69ffdf5e46865295f34f291658e94fb74365e4b
| 378
|
py
|
Python
|
api/src/opentrons/protocol_engine/execution/__init__.py
|
faliester/opentrons
|
e945d0f72fed39b0f68c0b30b7afd1981644184f
|
[
"Apache-2.0"
] | null | null | null |
api/src/opentrons/protocol_engine/execution/__init__.py
|
faliester/opentrons
|
e945d0f72fed39b0f68c0b30b7afd1981644184f
|
[
"Apache-2.0"
] | null | null | null |
api/src/opentrons/protocol_engine/execution/__init__.py
|
faliester/opentrons
|
e945d0f72fed39b0f68c0b30b7afd1981644184f
|
[
"Apache-2.0"
] | null | null | null |
"""Command execution module."""
from .command_handlers import CommandHandlers
from .equipment import EquipmentHandler, LoadedLabware, LoadedPipette
from .movement import MovementHandler
from .pipetting import PipettingHandler
__all__ = [
"CommandHandlers",
"EquipmentHandler",
"LoadedLabware",
"LoadedPipette",
"MovementHandler",
"PipettingHandler",
]
| 23.625
| 69
| 0.759259
| 29
| 378
| 9.724138
| 0.551724
| 0.205674
| 0.297872
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150794
| 378
| 15
| 70
| 25.2
| 0.878505
| 0.066138
| 0
| 0
| 0
| 0
| 0.253602
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
a6b8e925df10a0704a01f1deab8b0c6ade21ff50
| 138
|
py
|
Python
|
cvat/apps/annotation/__init__.py
|
raunilillemets/cvat
|
c083b5d3a60270121abc3f3fe596ff94ae0eb60f
|
[
"MIT"
] | 2
|
2020-01-10T08:50:50.000Z
|
2020-01-23T06:11:11.000Z
|
cvat/apps/annotation/__init__.py
|
raunilillemets/cvat
|
c083b5d3a60270121abc3f3fe596ff94ae0eb60f
|
[
"MIT"
] | 29
|
2020-01-28T23:08:18.000Z
|
2022-03-12T00:05:33.000Z
|
cvat/apps/annotation/__init__.py
|
maitreyamaity/CVAT-SIM-TEST
|
6b97145c8f4584d9ad40a4b6541424955e272e42
|
[
"MIT"
] | 5
|
2020-07-01T18:02:48.000Z
|
2021-01-22T02:21:48.000Z
|
# Copyright (C) 2018 Intel Corporation
#
# SPDX-License-Identifier: MIT
default_app_config = 'cvat.apps.annotation.apps.AnnotationConfig'
| 27.6
| 65
| 0.797101
| 17
| 138
| 6.352941
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032
| 0.094203
| 138
| 4
| 66
| 34.5
| 0.832
| 0.471014
| 0
| 0
| 0
| 0
| 0.608696
| 0.608696
| 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
|
a6c399610c3ca39b1016bf3a17aac8a46de2b9ca
| 183
|
py
|
Python
|
list_slice.py
|
python4duty/python3
|
b94857db4b080891f19f377ecbc562b2cc80385a
|
[
"MIT"
] | null | null | null |
list_slice.py
|
python4duty/python3
|
b94857db4b080891f19f377ecbc562b2cc80385a
|
[
"MIT"
] | null | null | null |
list_slice.py
|
python4duty/python3
|
b94857db4b080891f19f377ecbc562b2cc80385a
|
[
"MIT"
] | null | null | null |
# SLICE
list = ['start', 'second', 'third', 'fourth', 'fifth']
list_fra = list[2]
print(list)
print(list_fra)
print(list[1:3])
print(list[-3:-1])
print(list[-3:])
print(list[:-3])
| 14.076923
| 54
| 0.617486
| 30
| 183
| 3.7
| 0.4
| 0.486486
| 0.27027
| 0.198198
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04321
| 0.114754
| 183
| 12
| 55
| 15.25
| 0.641975
| 0.027322
| 0
| 0
| 0
| 0
| 0.153409
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.75
| 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
| 0
| 1
|
0
| 4
|
a6e239a67c705fe391b91fc8c5c11203668fa35a
| 253
|
py
|
Python
|
allure/adaptor.py
|
AnandJyrm/allure-pytest
|
495a90d64690d200ca402a5dbffb96f6335d428b
|
[
"Apache-2.0"
] | 112
|
2017-01-24T21:37:49.000Z
|
2022-03-25T22:32:12.000Z
|
allure/adaptor.py
|
AnandJyrm/allure-pytest
|
495a90d64690d200ca402a5dbffb96f6335d428b
|
[
"Apache-2.0"
] | 56
|
2017-01-21T20:01:41.000Z
|
2019-01-14T13:35:53.000Z
|
allure/adaptor.py
|
AnandJyrm/allure-pytest
|
495a90d64690d200ca402a5dbffb96f6335d428b
|
[
"Apache-2.0"
] | 52
|
2017-01-23T13:40:40.000Z
|
2022-03-30T00:02:31.000Z
|
'''
Created on Feb 23, 2014
@author: pupssman
'''
import warnings
warnings.warn('"allure.adaptor" is deprecated, use "allure.pytest_plugin" instead.')
# impersonate the old ``adaptor``
from allure.pytest_plugin import * # @UnusedWildImport # noqa
| 19.461538
| 84
| 0.731225
| 31
| 253
| 5.903226
| 0.774194
| 0.131148
| 0.196721
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02765
| 0.142292
| 253
| 12
| 85
| 21.083333
| 0.815668
| 0.395257
| 0
| 0
| 0
| 0
| 0.468531
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a6f095f5308fc275f656e713e0bb940656e5d7ab
| 57
|
py
|
Python
|
apps/receipt/__init__.py
|
uk-gov-mirror/ministryofjustice.manchester_traffic_offences_pleas
|
4c625b13fa2826bdde083a0270dcea1791f6dc18
|
[
"MIT"
] | 3
|
2015-12-22T16:37:14.000Z
|
2018-01-22T18:44:38.000Z
|
apps/receipt/__init__.py
|
uk-gov-mirror/ministryofjustice.manchester_traffic_offences_pleas
|
4c625b13fa2826bdde083a0270dcea1791f6dc18
|
[
"MIT"
] | 145
|
2015-03-04T11:17:50.000Z
|
2022-03-21T12:10:13.000Z
|
apps/receipt/__init__.py
|
uk-gov-mirror/ministryofjustice.manchester_traffic_offences_pleas
|
4c625b13fa2826bdde083a0270dcea1791f6dc18
|
[
"MIT"
] | 3
|
2015-12-29T14:59:12.000Z
|
2021-04-11T06:24:11.000Z
|
# tidy up imports
#from .process import process_receipts
| 19
| 38
| 0.807018
| 8
| 57
| 5.625
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140351
| 57
| 3
| 38
| 19
| 0.918367
| 0.912281
| 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
|
47115ce29f0a7759c870443a773e39c46d0f4155
| 41
|
py
|
Python
|
core/python-scripts/custom_errors.py
|
lucaromagnoli/Nomad-Monad-Scripts
|
1e8f66cdd3c8797360dad15bf0f2d8d227658279
|
[
"MIT"
] | null | null | null |
core/python-scripts/custom_errors.py
|
lucaromagnoli/Nomad-Monad-Scripts
|
1e8f66cdd3c8797360dad15bf0f2d8d227658279
|
[
"MIT"
] | null | null | null |
core/python-scripts/custom_errors.py
|
lucaromagnoli/Nomad-Monad-Scripts
|
1e8f66cdd3c8797360dad15bf0f2d8d227658279
|
[
"MIT"
] | null | null | null |
class ResampleError(ValueError):
...
| 13.666667
| 32
| 0.682927
| 3
| 41
| 9.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170732
| 41
| 2
| 33
| 20.5
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
47148f470fe90bb994a5f6d18a1a2e7f366e4182
| 472
|
py
|
Python
|
web/settings.py
|
GreenBeret3155/THHTTT-recsys
|
6740322a798b9a2d90bd62c8d8814afe33f23b6b
|
[
"MIT"
] | null | null | null |
web/settings.py
|
GreenBeret3155/THHTTT-recsys
|
6740322a798b9a2d90bd62c8d8814afe33f23b6b
|
[
"MIT"
] | null | null | null |
web/settings.py
|
GreenBeret3155/THHTTT-recsys
|
6740322a798b9a2d90bd62c8d8814afe33f23b6b
|
[
"MIT"
] | null | null | null |
MONGODB_SETTINGS = {
'db': 'rsframgia',
'collection': 'viblo_posts',
'host': 'mongodb+srv://nhomanhemcututu:chubichthuy@cluster0.vnbw3.mongodb.net/rsframgia?authSource=admin&replicaSet=atlas-mi89bw-shard-0&w=majority&readPreference=primary&appname=MongoDB%20Compass&retryWrites=true&ssl=true'
}
PATH_DICTIONARY = "models/id2word.dictionary"
PATH_CORPUS = "models/corpus.mm"
PATH_LDA_MODEL = "models/LDA.model"
PATH_DOC_TOPIC_DIST = "models/doc_topic_dist.dat"
| 47.2
| 227
| 0.783898
| 60
| 472
| 5.983333
| 0.7
| 0.044568
| 0.066852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018265
| 0.072034
| 472
| 9
| 228
| 52.444444
| 0.80137
| 0
| 0
| 0
| 0
| 0.111111
| 0.701271
| 0.557203
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.111111
| 0
| 0
| 0
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
472e8063db61fd1106d5efacc8182f98a6046e95
| 117
|
py
|
Python
|
EventFilter/RPCRawToDigi/python/RPCCPPFRawToDigi_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 852
|
2015-01-11T21:03:51.000Z
|
2022-03-25T21:14:00.000Z
|
EventFilter/RPCRawToDigi/python/RPCCPPFRawToDigi_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 30,371
|
2015-01-02T00:14:40.000Z
|
2022-03-31T23:26:05.000Z
|
EventFilter/RPCRawToDigi/python/RPCCPPFRawToDigi_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 3,240
|
2015-01-02T05:53:18.000Z
|
2022-03-31T17:24:21.000Z
|
import FWCore.ParameterSet.Config as cms
from EventFilter.RPCRawToDigi.RPCCPPFRawToDigi_cfi import rpcCPPFRawToDigi
| 29.25
| 74
| 0.888889
| 13
| 117
| 7.923077
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 117
| 3
| 75
| 39
| 0.953704
| 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
|
472ebc935e277d6419a318f01110032a9143e5c4
| 704
|
py
|
Python
|
src/core/utils/core.py
|
ravenSanstete/hako
|
fe72c76e9f319add1921a63dee711f90f4960873
|
[
"MIT"
] | 1
|
2016-11-17T07:15:00.000Z
|
2016-11-17T07:15:00.000Z
|
src/core/utils/core.py
|
ravenSanstete/hako
|
fe72c76e9f319add1921a63dee711f90f4960873
|
[
"MIT"
] | 6
|
2016-11-17T10:27:38.000Z
|
2016-11-18T13:20:05.000Z
|
src/core/utils/core.py
|
ravenSanstete/hako
|
fe72c76e9f319add1921a63dee711f90f4960873
|
[
"MIT"
] | null | null | null |
import functools as F
# an auxiliary method for displaying error
# which should never be used as a concrete method, please partial it
def err(module_name,info):
raise Exception("Module %s Error:%s" % module_name,info);
def require_override():
raise NotImplementedError;
# check a list of instance, whether they share the same types
# more complicated check routines will be defined after finishing the type system module
# this may not be called check types
def check_types(instance_list,class_ptr):
return F.reduce(lambda x,y:x and y, [isinstance(m,class_ptr) for m in instance_list],True);
# entry ports for other modules
from .map_buf import MapBuffer
from .set_buf import SetBuffer
| 32
| 95
| 0.774148
| 113
| 704
| 4.734513
| 0.672566
| 0.037383
| 0.052336
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.161932
| 704
| 21
| 96
| 33.52381
| 0.90678
| 0.453125
| 0
| 0
| 0
| 0
| 0.047619
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.111111
| 0.777778
| 0
| 0
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
5b499792a12e700d68ceaeebdff10488a6d68b78
| 57
|
py
|
Python
|
Two_stage_stochastic_optimization/optimal_power_flows/distributed_optimal_power_flow.py
|
sichu366/Optimization
|
62a6b32b4001930312cc267a4dd54aa3a7df406d
|
[
"MIT"
] | 10
|
2018-12-24T02:17:37.000Z
|
2022-03-19T07:44:21.000Z
|
Two_stage_stochastic_optimization/optimal_power_flows/distributed_optimal_power_flow.py
|
wuyou33/youhua
|
0142cc59a987964ec7d5ae08ccaf5a8af3f592d1
|
[
"MIT"
] | null | null | null |
Two_stage_stochastic_optimization/optimal_power_flows/distributed_optimal_power_flow.py
|
wuyou33/youhua
|
0142cc59a987964ec7d5ae08ccaf5a8af3f592d1
|
[
"MIT"
] | 1
|
2019-09-11T04:40:39.000Z
|
2019-09-11T04:40:39.000Z
|
"""
Distributed optimal power flow for DC networks.
"""
| 11.4
| 47
| 0.701754
| 7
| 57
| 5.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175439
| 57
| 4
| 48
| 14.25
| 0.851064
| 0.824561
| 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
|
5b6559f1d9fa81c2610931f4748935e6c7acf615
| 24
|
py
|
Python
|
resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/opengltk/wrapper/__init__.py
|
J-E-J-S/aaRS-Pipeline
|
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
|
[
"MIT"
] | 8
|
2021-12-14T21:30:01.000Z
|
2022-02-14T11:30:03.000Z
|
resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/opengltk/wrapper/__init__.py
|
J-E-J-S/aaRS-Pipeline
|
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
|
[
"MIT"
] | null | null | null |
resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/opengltk/wrapper/__init__.py
|
J-E-J-S/aaRS-Pipeline
|
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
|
[
"MIT"
] | null | null | null |
#
# copyright_notice
#
| 4.8
| 18
| 0.666667
| 2
| 24
| 7.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 24
| 4
| 19
| 6
| 0.789474
| 0.666667
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5b9204902c2e3cafc9c513967a40b4f4f72f9286
| 408
|
py
|
Python
|
download-deveres/para-execicios-curso-em-video/exe034.py
|
Hugo-Oliveira-RDO11/meus-deveres
|
b5e41015e2cb95946262678e82197e5f47d56271
|
[
"MIT"
] | null | null | null |
download-deveres/para-execicios-curso-em-video/exe034.py
|
Hugo-Oliveira-RDO11/meus-deveres
|
b5e41015e2cb95946262678e82197e5f47d56271
|
[
"MIT"
] | null | null | null |
download-deveres/para-execicios-curso-em-video/exe034.py
|
Hugo-Oliveira-RDO11/meus-deveres
|
b5e41015e2cb95946262678e82197e5f47d56271
|
[
"MIT"
] | null | null | null |
s = float(input('digite o salario do funcionario? R$'))
if s <= 1250.0:
c1 = (s * 15 / 100) + s
print('agora o funcionario vai ter o reajuste de 15%\nentao o salario dele que era R${:.2f}, passa a ser de R${:.2f}'.format(s, c1))
else:
c2 = (s * 10 / 100) + s
print('agora o fucionario vai ter o reajuste de 10%\nentao o salario dele que era R${:.2f}, passa a ser de R${:.2f}'.format(s, c2))
| 45.333333
| 136
| 0.612745
| 78
| 408
| 3.205128
| 0.435897
| 0.048
| 0.072
| 0.112
| 0.64
| 0.384
| 0.384
| 0.384
| 0.384
| 0.384
| 0
| 0.084906
| 0.220588
| 408
| 8
| 137
| 51
| 0.701258
| 0
| 0
| 0
| 0
| 0.285714
| 0.617647
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.285714
| 0
| 0
| 0
| 0.285714
| 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
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
5ba814ec4fa9e4190ba680575a7a5cb43b329a39
| 329
|
py
|
Python
|
PrizmDoc-Python-Sample/views/index.py
|
rdavidson1994/PrizmDoc-Python-Sample
|
b69cacc2917ddc3e1584de4fa161c424c44de1c3
|
[
"MIT"
] | null | null | null |
PrizmDoc-Python-Sample/views/index.py
|
rdavidson1994/PrizmDoc-Python-Sample
|
b69cacc2917ddc3e1584de4fa161c424c44de1c3
|
[
"MIT"
] | null | null | null |
PrizmDoc-Python-Sample/views/index.py
|
rdavidson1994/PrizmDoc-Python-Sample
|
b69cacc2917ddc3e1584de4fa161c424c44de1c3
|
[
"MIT"
] | null | null | null |
from flask import Blueprint, redirect, render_template, url_for
from config import args as config
blueprint = Blueprint("index", __name__)
@blueprint.route("/")
def base_url():
return redirect(url_for(".index"))
@blueprint.route("/index")
def index():
return render_template("index/index.html", apiKey=config.apiKey)
| 23.5
| 68
| 0.741641
| 43
| 329
| 5.465116
| 0.465116
| 0.119149
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121581
| 329
| 13
| 69
| 25.307692
| 0.813149
| 0
| 0
| 0
| 0
| 0
| 0.103343
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.222222
| 0.666667
| 0.444444
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 1
|
0
| 4
|
5bb516b5919ce4b5549047bf4b35a180b7f37178
| 44
|
py
|
Python
|
libseq/__init__.py
|
antonybholmes/libseq
|
98e69f017061ac9c290d50a3f6a70ef74e51169b
|
[
"MIT"
] | null | null | null |
libseq/__init__.py
|
antonybholmes/libseq
|
98e69f017061ac9c290d50a3f6a70ef74e51169b
|
[
"MIT"
] | null | null | null |
libseq/__init__.py
|
antonybholmes/libseq
|
98e69f017061ac9c290d50a3f6a70ef74e51169b
|
[
"MIT"
] | null | null | null |
name = 'libseq'
from libseq.libseq import *
| 14.666667
| 27
| 0.727273
| 6
| 44
| 5.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159091
| 44
| 2
| 28
| 22
| 0.864865
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 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
|
5bbffd0777b560b615874c7b8cd60c817b2da3ea
| 45
|
py
|
Python
|
barbershop/settings/prod.py
|
sauli6692/barbershop
|
862357bd78235e720b2e3b868d2423a57bb4e328
|
[
"MIT"
] | null | null | null |
barbershop/settings/prod.py
|
sauli6692/barbershop
|
862357bd78235e720b2e3b868d2423a57bb4e328
|
[
"MIT"
] | null | null | null |
barbershop/settings/prod.py
|
sauli6692/barbershop
|
862357bd78235e720b2e3b868d2423a57bb4e328
|
[
"MIT"
] | null | null | null |
from .common import * # noqa
DEBUG = False
| 11.25
| 29
| 0.666667
| 6
| 45
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.244444
| 45
| 4
| 30
| 11.25
| 0.882353
| 0.088889
| 0
| 0
| 0
| 0
| 0
| 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
|
5bc9673e43db91d3341c6ed62172ebddcee49241
| 163
|
py
|
Python
|
duffy/database.py
|
Zlopez/duffy
|
db9621a2f2127b41d3ed6e29d8e50bf0f0d68a64
|
[
"Apache-2.0"
] | null | null | null |
duffy/database.py
|
Zlopez/duffy
|
db9621a2f2127b41d3ed6e29d8e50bf0f0d68a64
|
[
"Apache-2.0"
] | null | null | null |
duffy/database.py
|
Zlopez/duffy
|
db9621a2f2127b41d3ed6e29d8e50bf0f0d68a64
|
[
"Apache-2.0"
] | null | null | null |
from .extensions import db
class Duffyv1Model(db.Model):
__abstract__ = 'True'
def save(self):
db.session.add(self)
db.session.commit()
| 16.3
| 29
| 0.638037
| 20
| 163
| 5
| 0.75
| 0.12
| 0.26
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00813
| 0.245399
| 163
| 9
| 30
| 18.111111
| 0.804878
| 0
| 0
| 0
| 0
| 0
| 0.02454
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
5bd220639c3bdb556cb67d9e82ea1417076ba3c7
| 114
|
py
|
Python
|
docker/__init__.py
|
Kandongwe/RunestoneServer
|
f555868521b3717beec0ec42dbcbcb443c64686c
|
[
"MIT"
] | null | null | null |
docker/__init__.py
|
Kandongwe/RunestoneServer
|
f555868521b3717beec0ec42dbcbcb443c64686c
|
[
"MIT"
] | null | null | null |
docker/__init__.py
|
Kandongwe/RunestoneServer
|
f555868521b3717beec0ec42dbcbcb443c64686c
|
[
"MIT"
] | null | null | null |
# *********
# |docname|
# *********
# This is required by Poetry so that `docker_tools.py` can be an entry point.
| 22.8
| 77
| 0.578947
| 16
| 114
| 4.0625
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175439
| 114
| 4
| 78
| 28.5
| 0.691489
| 0.921053
| 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
|
5bd8ac00a25d4645de3340139e365cfd591be873
| 2,722
|
py
|
Python
|
tests/parts/Light/test_LED.py
|
izm51/obniz-python-sdk
|
40a738b5fe2c0a415cdc09f46d28c143982bfb07
|
[
"MIT"
] | 11
|
2019-03-22T12:02:11.000Z
|
2021-01-21T04:57:18.000Z
|
tests/parts/Light/test_LED.py
|
izm51/obniz-python-sdk
|
40a738b5fe2c0a415cdc09f46d28c143982bfb07
|
[
"MIT"
] | 5
|
2019-03-02T08:28:25.000Z
|
2021-02-02T22:06:37.000Z
|
tests/parts/Light/test_LED.py
|
izm51/obniz-python-sdk
|
40a738b5fe2c0a415cdc09f46d28c143982bfb07
|
[
"MIT"
] | 3
|
2019-07-20T06:55:09.000Z
|
2019-12-04T05:05:00.000Z
|
import pytest
from tests.utils import assert_send, assert_finished
class TestLED:
def test_wired(self, obniz):
obniz.wired('LED', { "anode": 0, "cathode": 1 })
assert_send(obniz, [{ "io0": False }])
assert_send(obniz, [{ "io1": False }])
assert_send(obniz, [{
"display": {
"pin_assign": {
"0": {
"module_name": "LED",
"pin_name": "anode"
},
"1": {
"module_name": "LED",
"pin_name": "cathode"
}
}
}
}])
assert_finished(obniz)
def test_wired_error_with_no_keys(self, obniz):
with pytest.raises(Exception):
obniz.wired('LED', {})
assert_finished(obniz)
def test_wired_error_with_no_arg(self, obniz):
with pytest.raises(Exception):
obniz.wired('LED')
assert_finished(obniz)
def test_wired_only_anode(self, obniz):
obniz.wired('LED', { "anode": 10 })
assert_send(obniz, [{ "io10": False }])
assert_send(obniz, [{
"display": {
"pin_assign": {
"10": {
"module_name": "LED",
"pin_name": "anode"
}
}
}
}])
assert_finished(obniz)
def test_on_off(self, obniz):
led = obniz.wired('LED', { "anode": 0, "cathode": 1 })
assert_send(obniz, [{ "io0": False }])
assert_send(obniz, [{ "io1": False }])
assert_send(obniz, [{
"display": {
"pin_assign": {
"0": {
"module_name": "LED",
"pin_name": "anode"
},
"1": {
"module_name": "LED",
"pin_name": "cathode"
}
}
}
}])
assert_finished(obniz)
led.on()
assert_send(obniz, [{
"io": {
"animation": {
"name": led.animation_name,
"status": "pause"
}
}
}])
assert_send(obniz, [{ "io0": True }])
assert_finished(obniz)
led.off()
assert_send(obniz, [{
"io": {
"animation": {
"name": led.animation_name,
"status": "pause"
}
}
}])
assert_send(obniz, [{ "io0": False }])
assert_finished(obniz)
| 28.957447
| 62
| 0.390522
| 217
| 2,722
| 4.658986
| 0.207373
| 0.128586
| 0.178042
| 0.098912
| 0.818991
| 0.793274
| 0.722057
| 0.686449
| 0.686449
| 0.652819
| 0
| 0.014025
| 0.476121
| 2,722
| 93
| 63
| 29.268817
| 0.694951
| 0
| 0
| 0.611765
| 0
| 0
| 0.115356
| 0
| 0
| 0
| 0
| 0
| 0.235294
| 1
| 0.058824
| false
| 0
| 0.023529
| 0
| 0.094118
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5bd920533ea801e24cc2294fd06315314a20b46f
| 90
|
py
|
Python
|
src/server/python/6playgroup/w9live.py
|
nicojqn/Livy
|
d5076a493747563d8e40600d52371df888c75d27
|
[
"MIT"
] | null | null | null |
src/server/python/6playgroup/w9live.py
|
nicojqn/Livy
|
d5076a493747563d8e40600d52371df888c75d27
|
[
"MIT"
] | null | null | null |
src/server/python/6playgroup/w9live.py
|
nicojqn/Livy
|
d5076a493747563d8e40600d52371df888c75d27
|
[
"MIT"
] | null | null | null |
from live6playgroup import *
if __name__=="__main__":
print(get_live_url("w9").path)
| 30
| 34
| 0.722222
| 12
| 90
| 4.583333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025641
| 0.133333
| 90
| 3
| 34
| 30
| 0.679487
| 0
| 0
| 0
| 0
| 0
| 0.11236
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 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
|
5be4eb16c649c1f62d292d5fc9f63494acd286af
| 249
|
py
|
Python
|
tuvok/plugins/builtins.py
|
gdelvalle/tuvok
|
20bd7e92b9e9631cbb80ce60239cdd8154dda69f
|
[
"Apache-2.0"
] | 19
|
2018-10-26T18:42:30.000Z
|
2020-05-24T10:44:55.000Z
|
tuvok/plugins/builtins.py
|
gdelvalle/tuvok
|
20bd7e92b9e9631cbb80ce60239cdd8154dda69f
|
[
"Apache-2.0"
] | 11
|
2018-10-26T17:06:54.000Z
|
2020-01-04T02:46:06.000Z
|
tuvok/plugins/builtins.py
|
gdelvalle/tuvok
|
20bd7e92b9e9631cbb80ce60239cdd8154dda69f
|
[
"Apache-2.0"
] | 3
|
2018-12-29T06:58:06.000Z
|
2020-04-24T19:48:19.000Z
|
from tuvok.plugins import BaseTuvokPlugin
from tuvok.checks.builtins import FileLayoutCheck
class BuiltinPlugin(BaseTuvokPlugin):
"""
The null plugin always passes.
"""
def get_checks(self):
return [FileLayoutCheck()]
| 20.75
| 49
| 0.710843
| 25
| 249
| 7.04
| 0.76
| 0.102273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208835
| 249
| 11
| 50
| 22.636364
| 0.893401
| 0.120482
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 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
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
75024351b3bcc22f52f27c08335f5feb9829ab8c
| 1,018
|
py
|
Python
|
pirates/launcher/PiratesLauncher.py
|
ksmit799/POTCO-PS
|
520d38935ae8df4b452c733a82c94dddac01e275
|
[
"Apache-2.0"
] | 8
|
2017-01-24T04:33:29.000Z
|
2020-11-01T08:36:24.000Z
|
pirates/launcher/PiratesLauncher.py
|
ksmit799/Pirates-Online-Remake
|
520d38935ae8df4b452c733a82c94dddac01e275
|
[
"Apache-2.0"
] | 1
|
2017-03-02T18:05:17.000Z
|
2017-03-14T06:47:10.000Z
|
pirates/launcher/PiratesLauncher.py
|
ksmit799/Pirates-Online-Remake
|
520d38935ae8df4b452c733a82c94dddac01e275
|
[
"Apache-2.0"
] | 11
|
2017-03-02T18:46:07.000Z
|
2020-11-01T08:36:26.000Z
|
from direct.directnotify import DirectNotifyGlobal
import os
class PiratesLauncher:
notify = DirectNotifyGlobal.directNotify.newCategory('PiratesLauncher')
def getGameServer(self):
return self.getValue('GAMESERVER', '127.0.0.1')
def setPandaErrorCode(self, code):
pass
def getValue(self, key, default=None):
return os.environ.get(key, default)
def setValue(self, key, value):
os.environ[key] = str(value)
def isTestServer(self):
return False
def setPandaWindowOpen(self):
pass
def isDummy(self):
return False
def getRegistry(self, arg):
pass
def getBlue(self):
pass
def getPlayToken(self):
return 'dev'
def getDISLToken(self):
return 'dev'
def getNeedPwForSecretKey(self):
return False
def getParentPasswordSet(self):
return False
def getPhaseComplete(self, arg):
return True
def setDisconnectDetailsNormal(self):
pass
| 20.36
| 75
| 0.643418
| 105
| 1,018
| 6.238095
| 0.428571
| 0.10687
| 0.091603
| 0.109924
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008075
| 0.270138
| 1,018
| 50
| 76
| 20.36
| 0.873486
| 0
| 0
| 0.323529
| 0
| 0
| 0.039254
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.441176
| false
| 0.176471
| 0.058824
| 0.264706
| 0.823529
| 0
| 0
| 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
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
75188d74a92083a312d265971653f8cbf64ce3bb
| 545
|
py
|
Python
|
ulb_manager/backend/models.py
|
lincy-chu/Django-Vue
|
9284777d855076b53cc4726d34ec4fa3ec4c8dc9
|
[
"MIT"
] | 1
|
2018-10-01T17:48:51.000Z
|
2018-10-01T17:48:51.000Z
|
ulb_manager/backend/models.py
|
lincy-chu/Django-Vue
|
9284777d855076b53cc4726d34ec4fa3ec4c8dc9
|
[
"MIT"
] | null | null | null |
ulb_manager/backend/models.py
|
lincy-chu/Django-Vue
|
9284777d855076b53cc4726d34ec4fa3ec4c8dc9
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class bookInfo(models.Model):
fromUser = models.CharField(max_length=30, default='WYS')
fromSite = models.CharField(max_length=50)
bookName = models.CharField(max_length=50)
updateTime = models.DateTimeField()
class siteInfo(models.Model):
siteName = models.CharField(max_length=50)
bookName = models.CharField(max_length=50)
url = models.CharField(max_length=200)
updateTime = models.DateTimeField()
lastChapter = models.CharField(max_length=100)
| 28.684211
| 61
| 0.743119
| 67
| 545
| 5.940299
| 0.432836
| 0.263819
| 0.316583
| 0.422111
| 0.301508
| 0.301508
| 0.301508
| 0.301508
| 0.301508
| 0.301508
| 0
| 0.034557
| 0.150459
| 545
| 18
| 62
| 30.277778
| 0.825054
| 0.044037
| 0
| 0.333333
| 0
| 0
| 0.00578
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.083333
| 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
|
7534040565856f995d539de57f03be332097037d
| 537
|
py
|
Python
|
mundo_2/desafio_052.py
|
lvfds/Curso_Python3
|
1afb7706553a1d21d3d97e061144c5f019ca9391
|
[
"MIT"
] | null | null | null |
mundo_2/desafio_052.py
|
lvfds/Curso_Python3
|
1afb7706553a1d21d3d97e061144c5f019ca9391
|
[
"MIT"
] | null | null | null |
mundo_2/desafio_052.py
|
lvfds/Curso_Python3
|
1afb7706553a1d21d3d97e061144c5f019ca9391
|
[
"MIT"
] | null | null | null |
# Faça um programa que leia um número inteiro diga se ele é o não um número primo.
numero_digitado_pelo_usuario = int(input('Digite um número qualquer: '))
if numero_digitado_pelo_usuario != 1 and numero_digitado_pelo_usuario % 2 != 0 and numero_digitado_pelo_usuario % 3 != 0 and numero_digitado_pelo_usuario % 5 != 0 and numero_digitado_pelo_usuario % 7 != 0 or numero_digitado_pelo_usuario == 2:
print(f'O número {numero_digitado_pelo_usuario} é primo!')
else:
print(f'O número {numero_digitado_pelo_usuario} não é primo!')
| 67.125
| 243
| 0.774674
| 89
| 537
| 4.370787
| 0.382022
| 0.323907
| 0.416452
| 0.578406
| 0.560411
| 0.419023
| 0.195373
| 0.195373
| 0
| 0
| 0
| 0.021834
| 0.147114
| 537
| 8
| 244
| 67.125
| 0.827511
| 0.148976
| 0
| 0
| 0
| 0
| 0.278509
| 0.131579
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.4
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
754d9224b5ed795806a254e02f4374f55efd1edb
| 112
|
py
|
Python
|
simpleimage/__init__.py
|
emmmile/simpleimage
|
6b079592ce64d67903bf9c085a132ddd9712fba8
|
[
"MIT"
] | null | null | null |
simpleimage/__init__.py
|
emmmile/simpleimage
|
6b079592ce64d67903bf9c085a132ddd9712fba8
|
[
"MIT"
] | null | null | null |
simpleimage/__init__.py
|
emmmile/simpleimage
|
6b079592ce64d67903bf9c085a132ddd9712fba8
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
from .simpleimage import SimpleImage
from .filename import FileName
| 18.666667
| 36
| 0.723214
| 14
| 112
| 5.785714
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020619
| 0.133929
| 112
| 5
| 37
| 22.4
| 0.814433
| 0.348214
| 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
|
f3285980968ebb35b5b006df50a94bb162fc792d
| 175
|
py
|
Python
|
tests/conftest.py
|
pyapp-org/pyapp-messaging-aws
|
87c98ec2fc5a0f51cb148a2f72aebebf727b2c41
|
[
"BSD-3-Clause"
] | 1
|
2022-03-26T19:21:12.000Z
|
2022-03-26T19:21:12.000Z
|
tests/conftest.py
|
pyapp-org/pyapp-messaging-aws
|
87c98ec2fc5a0f51cb148a2f72aebebf727b2c41
|
[
"BSD-3-Clause"
] | null | null | null |
tests/conftest.py
|
pyapp-org/pyapp-messaging-aws
|
87c98ec2fc5a0f51cb148a2f72aebebf727b2c41
|
[
"BSD-3-Clause"
] | null | null | null |
from pyapp.conf import settings
# Ensure settings are configured
settings.configure(
["pyapp_ext.messaging.default_settings", "pyapp_ext.aiobotocore.default_settings"]
)
| 25
| 86
| 0.805714
| 21
| 175
| 6.52381
| 0.619048
| 0.116788
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102857
| 175
| 6
| 87
| 29.166667
| 0.872611
| 0.171429
| 0
| 0
| 0
| 0
| 0.517483
| 0.517483
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 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
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f331bb7028c9e5da0ddf8ae53c65471d84a287f4
| 233
|
py
|
Python
|
05-Inheritance/exer-04-need_for_speed/project/family_car.py
|
Beshkov/OOP
|
297edadb3e7801dfeee5752a20aae6aead8da610
|
[
"MIT"
] | 1
|
2021-05-24T17:51:53.000Z
|
2021-05-24T17:51:53.000Z
|
05-Inheritance/exer-04-need_for_speed/project/family_car.py
|
Beshkov/Python_OOP
|
297edadb3e7801dfeee5752a20aae6aead8da610
|
[
"MIT"
] | null | null | null |
05-Inheritance/exer-04-need_for_speed/project/family_car.py
|
Beshkov/Python_OOP
|
297edadb3e7801dfeee5752a20aae6aead8da610
|
[
"MIT"
] | null | null | null |
from project.car import Car
class FamilyCar(Car):
pass
family_car = FamilyCar(150, 150)
family_car.drive(50)
print(family_car.fuel)
family_car.drive(50)
print(family_car.fuel)
print(family_car.__class__.__bases__[0].__name__)
| 17.923077
| 49
| 0.785408
| 37
| 233
| 4.459459
| 0.432432
| 0.327273
| 0.254545
| 0.193939
| 0.412121
| 0.412121
| 0.412121
| 0.412121
| 0
| 0
| 0
| 0.052381
| 0.098712
| 233
| 12
| 50
| 19.416667
| 0.733333
| 0
| 0
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.111111
| 0.111111
| 0
| 0.222222
| 0.333333
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
f337f9245707095d495d8e7aa10bb766cb1d0933
| 269
|
py
|
Python
|
autoflow/workflow/components/preprocessing/transform/quantile.py
|
auto-flow/autoflow
|
f5903424ad8694d57741a0bd6dfeaba320ea6517
|
[
"BSD-3-Clause"
] | 49
|
2020-04-16T11:17:28.000Z
|
2020-05-06T01:32:44.000Z
|
autoflow/workflow/components/preprocessing/transform/quantile.py
|
auto-flow/autoflow
|
f5903424ad8694d57741a0bd6dfeaba320ea6517
|
[
"BSD-3-Clause"
] | null | null | null |
autoflow/workflow/components/preprocessing/transform/quantile.py
|
auto-flow/autoflow
|
f5903424ad8694d57741a0bd6dfeaba320ea6517
|
[
"BSD-3-Clause"
] | 3
|
2020-04-17T00:53:24.000Z
|
2020-04-23T03:04:26.000Z
|
from autoflow.workflow.components.feature_engineer_base import AutoFlowFeatureEngineerAlgorithm
__all__ = ["QuantileTransformer"]
class QuantileTransformer(AutoFlowFeatureEngineerAlgorithm):
class__ = "QuantileTransformer"
module__ = "sklearn.preprocessing"
| 29.888889
| 95
| 0.836431
| 19
| 269
| 11.315789
| 0.789474
| 0.223256
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096654
| 269
| 8
| 96
| 33.625
| 0.884774
| 0
| 0
| 0
| 0
| 0
| 0.219331
| 0.078067
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.8
| 0
| 1
| 0
| 1
| 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
| 0
| 0
|
0
| 4
|
f34219ba05da2447376b3d0978c56de648766103
| 131
|
py
|
Python
|
caas_app/apps.py
|
legonigel/CAAS
|
55b81c5f7936f7f8fe45ca3716fe18d382024529
|
[
"MIT"
] | null | null | null |
caas_app/apps.py
|
legonigel/CAAS
|
55b81c5f7936f7f8fe45ca3716fe18d382024529
|
[
"MIT"
] | null | null | null |
caas_app/apps.py
|
legonigel/CAAS
|
55b81c5f7936f7f8fe45ca3716fe18d382024529
|
[
"MIT"
] | null | null | null |
from __future__ import unicode_literals
from django.apps import AppConfig
class CaasAppConfig(AppConfig):
name = 'caas_app'
| 16.375
| 39
| 0.793893
| 16
| 131
| 6.125
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152672
| 131
| 7
| 40
| 18.714286
| 0.882883
| 0
| 0
| 0
| 0
| 0
| 0.061069
| 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
|
f3565187adf289063048aee693f2d74c9536c722
| 39
|
py
|
Python
|
tests/vim/__init__.py
|
specfault/GreenerPython
|
976260c3e78969cfd3e1e40639325f104325c703
|
[
"MIT"
] | null | null | null |
tests/vim/__init__.py
|
specfault/GreenerPython
|
976260c3e78969cfd3e1e40639325f104325c703
|
[
"MIT"
] | null | null | null |
tests/vim/__init__.py
|
specfault/GreenerPython
|
976260c3e78969cfd3e1e40639325f104325c703
|
[
"MIT"
] | null | null | null |
from .vim import save
__all__ = [save]
| 13
| 21
| 0.717949
| 6
| 39
| 4
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179487
| 39
| 2
| 22
| 19.5
| 0.75
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
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| 1
| 0
| null | 0
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| 0
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| 0
| 0
| 0
| 0
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| 1
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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
|
f3a4220dcfd4f3abce94218d94a876fb823fde29
| 113
|
py
|
Python
|
api_helper/config.py
|
StepanBarantsev/course_management
|
627d003d8ed63a5cc64485a191c4b98e91796a45
|
[
"Apache-2.0"
] | null | null | null |
api_helper/config.py
|
StepanBarantsev/course_management
|
627d003d8ed63a5cc64485a191c4b98e91796a45
|
[
"Apache-2.0"
] | null | null | null |
api_helper/config.py
|
StepanBarantsev/course_management
|
627d003d8ed63a5cc64485a191c4b98e91796a45
|
[
"Apache-2.0"
] | null | null | null |
import os
class ConfigApi:
lms_key = os.environ.get('LMS_KEY')
fauna_key = os.environ.get('FAUNA_KEY')
| 16.142857
| 43
| 0.690265
| 18
| 113
| 4.111111
| 0.5
| 0.162162
| 0.324324
| 0.405405
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176991
| 113
| 6
| 44
| 18.833333
| 0.795699
| 0
| 0
| 0
| 0
| 0
| 0.141593
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f3b42c1e823e8eab2dbf1377d1eed6032475cdb9
| 212
|
py
|
Python
|
src/analyses/forms.py
|
raonyguimaraes/OncoX
|
f2fe6e9a786fd81f7933c8a54beef948e8527604
|
[
"MIT"
] | null | null | null |
src/analyses/forms.py
|
raonyguimaraes/OncoX
|
f2fe6e9a786fd81f7933c8a54beef948e8527604
|
[
"MIT"
] | null | null | null |
src/analyses/forms.py
|
raonyguimaraes/OncoX
|
f2fe6e9a786fd81f7933c8a54beef948e8527604
|
[
"MIT"
] | null | null | null |
from django.forms import ModelForm
from analyses.models import Analysis
# Create the form class.
class AnalysisForm(ModelForm):
class Meta:
model = Analysis
fields = ['name', 'type', 'files']
| 26.5
| 42
| 0.693396
| 25
| 212
| 5.88
| 0.76
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212264
| 212
| 8
| 42
| 26.5
| 0.88024
| 0.103774
| 0
| 0
| 0
| 0
| 0.068783
| 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
|
340feee5e3b0d12977d435252da837f5dbccff73
| 87
|
py
|
Python
|
return/apps.py
|
faithngotho/Awwards
|
c1be97cb231cc5fc54022d81a664668f5d4abe18
|
[
"MIT"
] | null | null | null |
return/apps.py
|
faithngotho/Awwards
|
c1be97cb231cc5fc54022d81a664668f5d4abe18
|
[
"MIT"
] | null | null | null |
return/apps.py
|
faithngotho/Awwards
|
c1be97cb231cc5fc54022d81a664668f5d4abe18
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class ReturnConfig(AppConfig):
name = 'return'
| 14.5
| 33
| 0.747126
| 10
| 87
| 6.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 87
| 5
| 34
| 17.4
| 0.902778
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 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
|
3440f5dec73018666fe35b5b4765f857c888cf06
| 175
|
py
|
Python
|
nsense/main/produce_flat_dataset.py
|
reubenjohn/nsense
|
c2ade83ee467cc88a3fe24f543508fa9df664c3b
|
[
"MIT"
] | null | null | null |
nsense/main/produce_flat_dataset.py
|
reubenjohn/nsense
|
c2ade83ee467cc88a3fe24f543508fa9df664c3b
|
[
"MIT"
] | null | null | null |
nsense/main/produce_flat_dataset.py
|
reubenjohn/nsense
|
c2ade83ee467cc88a3fe24f543508fa9df664c3b
|
[
"MIT"
] | null | null | null |
import sys
from nsense.dataset import flatten_data_source
if __name__ == "__main__":
data_dir = sys.argv[1]
flat_dir = sys.argv[2]
flatten_data_source(data_dir, flat_dir)
| 21.875
| 46
| 0.777143
| 29
| 175
| 4.137931
| 0.551724
| 0.183333
| 0.283333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013072
| 0.125714
| 175
| 8
| 47
| 21.875
| 0.771242
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
34508ca6e31bc01e70f057556b802c3db4a70a66
| 66
|
py
|
Python
|
drf_cached_token/__init__.py
|
ueni-ltd/drf-cached-token
|
67173ff3666f627975b4656033768babb3694664
|
[
"MIT"
] | 1
|
2018-05-08T22:13:50.000Z
|
2018-05-08T22:13:50.000Z
|
drf_cached_token/__init__.py
|
ueni-ltd/drf-cached-token
|
67173ff3666f627975b4656033768babb3694664
|
[
"MIT"
] | null | null | null |
drf_cached_token/__init__.py
|
ueni-ltd/drf-cached-token
|
67173ff3666f627975b4656033768babb3694664
|
[
"MIT"
] | null | null | null |
default_app_config = 'drf_cached_token.apps.DrfCachedTokenConfig'
| 33
| 65
| 0.878788
| 8
| 66
| 6.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 66
| 1
| 66
| 66
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0.636364
| 0.636364
| 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
|
34658c606722d9ed7e70e432c79a90e4a3a32bee
| 91
|
py
|
Python
|
myproject/bookblog/apps.py
|
borko81/simple_django
|
b4faafe939e30998b1bd96aee1d0c83b242efc00
|
[
"MIT"
] | 1
|
2021-08-04T19:44:20.000Z
|
2021-08-04T19:44:20.000Z
|
myproject/bookblog/apps.py
|
borko81/simple_django
|
b4faafe939e30998b1bd96aee1d0c83b242efc00
|
[
"MIT"
] | null | null | null |
myproject/bookblog/apps.py
|
borko81/simple_django
|
b4faafe939e30998b1bd96aee1d0c83b242efc00
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class BookblogConfig(AppConfig):
name = 'bookblog'
| 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
|
347100e1cfd696b90f322531e12871b82c4b0531
| 195
|
py
|
Python
|
mapping.py
|
yurinnick/tow-example-project
|
92fbdc4e6ba9beb9ae19246ad05394418a3d0c22
|
[
"Apache-2.0"
] | null | null | null |
mapping.py
|
yurinnick/tow-example-project
|
92fbdc4e6ba9beb9ae19246ad05394418a3d0c22
|
[
"Apache-2.0"
] | null | null | null |
mapping.py
|
yurinnick/tow-example-project
|
92fbdc4e6ba9beb9ae19246ad05394418a3d0c22
|
[
"Apache-2.0"
] | null | null | null |
mapping = {
"files": [
("site-example.conf", "/etc/nginx/sites-available/site-example.conf")
],
"templates": [
("index.html.tmpl", "/var/www/html/index.html")
]
}
| 21.666667
| 77
| 0.538462
| 21
| 195
| 5
| 0.714286
| 0.209524
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.235897
| 195
| 8
| 78
| 24.375
| 0.704698
| 0
| 0
| 0
| 0
| 0
| 0.584615
| 0.348718
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
34725c4f7acaf3af365736504247e95b6f50406f
| 27
|
py
|
Python
|
runtimes/xgboost/mlserver_xgboost/version.py
|
dtpryce/MLServer
|
02744b3c770141b0b1d9dad2a0256d243051de61
|
[
"Apache-2.0"
] | null | null | null |
runtimes/xgboost/mlserver_xgboost/version.py
|
dtpryce/MLServer
|
02744b3c770141b0b1d9dad2a0256d243051de61
|
[
"Apache-2.0"
] | null | null | null |
runtimes/xgboost/mlserver_xgboost/version.py
|
dtpryce/MLServer
|
02744b3c770141b0b1d9dad2a0256d243051de61
|
[
"Apache-2.0"
] | null | null | null |
__version__ = "1.1.0.dev6"
| 13.5
| 26
| 0.666667
| 5
| 27
| 2.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 0.111111
| 27
| 1
| 27
| 27
| 0.416667
| 0
| 0
| 0
| 0
| 0
| 0.37037
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cad194002f1f83b76c03a3789a836231ec24ac2d
| 140
|
py
|
Python
|
World/Object/Unit/Spell/Constants/Categories/Racial.py
|
sundayz/idewave-core
|
5bdb88892173c9c3e8c85f431cf9b5dbd9f23941
|
[
"Apache-2.0"
] | 10
|
2019-06-29T19:24:52.000Z
|
2021-02-21T22:45:57.000Z
|
World/Object/Unit/Spell/Constants/Categories/Racial.py
|
sundayz/idewave-core
|
5bdb88892173c9c3e8c85f431cf9b5dbd9f23941
|
[
"Apache-2.0"
] | 4
|
2019-08-15T07:03:36.000Z
|
2021-06-02T13:01:25.000Z
|
World/Object/Unit/Spell/Constants/Categories/Racial.py
|
sundayz/idewave-core
|
5bdb88892173c9c3e8c85f431cf9b5dbd9f23941
|
[
"Apache-2.0"
] | 8
|
2019-06-30T22:47:48.000Z
|
2021-02-20T19:21:30.000Z
|
from enum import Enum
class Racial(Enum):
# Night Elf
SHADOWMELD = 20580
SHADOWMELD_PASSIVE = 21009
| 17.5
| 39
| 0.564286
| 14
| 140
| 5.571429
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 0.392857
| 140
| 8
| 40
| 17.5
| 0.8
| 0.064286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.25
| 0.25
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
cad80a314cd41f480b2f340a55999e981f9c4028
| 679
|
bzl
|
Python
|
source/bazel/deps/pthreadpool/get.bzl
|
luxe/CodeLang-compiler
|
78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a
|
[
"MIT"
] | 1
|
2019-01-06T08:45:46.000Z
|
2019-01-06T08:45:46.000Z
|
source/bazel/deps/pthreadpool/get.bzl
|
luxe/CodeLang-compiler
|
78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a
|
[
"MIT"
] | 264
|
2015-11-30T08:34:00.000Z
|
2018-06-26T02:28:41.000Z
|
source/bazel/deps/pthreadpool/get.bzl
|
UniLang/compiler
|
c338ee92994600af801033a37dfb2f1a0c9ca897
|
[
"MIT"
] | null | null | null |
# Do not edit this file directly.
# It was auto-generated by: code/programs/reflexivity/reflexive_refresh
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")
def pthreadpool():
http_archive(
name = "pthreadpool",
build_file = "//bazel/deps/pthreadpool:build.BUILD",
sha256 = "7a523b439a996e2f4376169279409059101f2f71eed4fcc915971368990504a0",
strip_prefix = "pthreadpool-6673a4c71fe35e077c6843a74017d9c25610c537",
urls = [
"https://github.com/Unilang/pthreadpool/archive/6673a4c71fe35e077c6843a74017d9c25610c537.tar.gz",
],
)
| 39.941176
| 109
| 0.721649
| 67
| 679
| 7.164179
| 0.61194
| 0.0375
| 0.058333
| 0.079167
| 0.179167
| 0.179167
| 0.179167
| 0.179167
| 0.179167
| 0.179167
| 0
| 0.197898
| 0.159057
| 679
| 16
| 110
| 42.4375
| 0.642732
| 0.148748
| 0
| 0
| 1
| 0
| 0.636522
| 0.417391
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| true
| 0
| 0
| 0
| 0.083333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1b1cbd4cca3c66440e7ecfb96420a6387156f7ee
| 164
|
py
|
Python
|
src/data/data.py
|
epomatti/cbpq-api
|
733f00ac1e7eb022dc5b6d699b83ec69c1761bfc
|
[
"MIT"
] | null | null | null |
src/data/data.py
|
epomatti/cbpq-api
|
733f00ac1e7eb022dc5b6d699b83ec69c1761bfc
|
[
"MIT"
] | null | null | null |
src/data/data.py
|
epomatti/cbpq-api
|
733f00ac1e7eb022dc5b6d699b83ec69c1761bfc
|
[
"MIT"
] | null | null | null |
import mysql.connector
cnx = mysql.connector.connect(user='root', password='password',
host='127.0.0.1', database='cbpq')
cnx.close()
| 32.8
| 64
| 0.597561
| 20
| 164
| 4.9
| 0.75
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048
| 0.237805
| 164
| 5
| 65
| 32.8
| 0.736
| 0
| 0
| 0
| 0
| 0
| 0.151515
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.25
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
1b1dda4978c4a5e16213ce55cd1ae85758330504
| 220
|
py
|
Python
|
apgl/io/GraphReader.py
|
mathemaphysics/APGL
|
6ca7c176e04017feeae00c4cee069fd126df0fbc
|
[
"BSD-3-Clause"
] | 13
|
2015-02-19T14:39:09.000Z
|
2021-04-12T01:22:32.000Z
|
apgl/io/GraphReader.py
|
mathemaphysics/APGL
|
6ca7c176e04017feeae00c4cee069fd126df0fbc
|
[
"BSD-3-Clause"
] | 1
|
2020-07-29T07:09:33.000Z
|
2020-07-29T07:09:33.000Z
|
apgl/io/GraphReader.py
|
mathemaphysics/APGL
|
6ca7c176e04017feeae00c4cee069fd126df0fbc
|
[
"BSD-3-Clause"
] | 7
|
2015-03-16T07:26:49.000Z
|
2021-01-12T06:57:27.000Z
|
'''
Created on 29 Oct 2009
@author: charanpal
An abstract class which reads graphs from files.
'''
class GraphReader(object):
def __init__(self):
pass
def readFromFile(self, fileName):
pass
| 12.941176
| 48
| 0.659091
| 27
| 220
| 5.222222
| 0.851852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036585
| 0.254545
| 220
| 16
| 49
| 13.75
| 0.823171
| 0.418182
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.4
| 0
| 0
| 0.6
| 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
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
1b1e397bc701a92ac9715b123a7f45e045aa0e2a
| 96
|
py
|
Python
|
techcrm/services/webv2/manage.py
|
techakademi/DockerEgitimProjeler
|
9ab6b5005fe53a2da6b5c0df2537d3d6d9238d80
|
[
"MIT"
] | null | null | null |
techcrm/services/webv2/manage.py
|
techakademi/DockerEgitimProjeler
|
9ab6b5005fe53a2da6b5c0df2537d3d6d9238d80
|
[
"MIT"
] | null | null | null |
techcrm/services/webv2/manage.py
|
techakademi/DockerEgitimProjeler
|
9ab6b5005fe53a2da6b5c0df2537d3d6d9238d80
|
[
"MIT"
] | null | null | null |
from project import app
if __name__ == "__main__":
app.run(debug = True, host = "0.0.0.0")
| 19.2
| 43
| 0.635417
| 16
| 96
| 3.3125
| 0.75
| 0.113208
| 0.113208
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051948
| 0.197917
| 96
| 5
| 43
| 19.2
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0.154639
| 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
|
1b51b4b603a970975b45dc178d37241790904798
| 529
|
py
|
Python
|
reports/tests/factories.py
|
cmc333333/mapusaurus
|
1d7ccef90d0ed832d52f797cbe68057057cd0177
|
[
"CC0-1.0"
] | null | null | null |
reports/tests/factories.py
|
cmc333333/mapusaurus
|
1d7ccef90d0ed832d52f797cbe68057057cd0177
|
[
"CC0-1.0"
] | 55
|
2018-02-09T04:11:31.000Z
|
2018-07-04T18:30:29.000Z
|
reports/tests/factories.py
|
cmc333333/mapusaurus
|
1d7ccef90d0ed832d52f797cbe68057057cd0177
|
[
"CC0-1.0"
] | null | null | null |
import factory
from reports.serializers import ReportInput
class ReportInputFactory(factory.Factory):
class Meta:
model = ReportInput
county_ids = factory.LazyFunction(set)
email = factory.Faker("email")
lender_ids = factory.LazyFunction(set)
lien_status = factory.LazyFunction(set)
loan_purpose = factory.LazyFunction(set)
metro_ids = factory.LazyFunction(set)
owner_occupancy = factory.LazyFunction(set)
property_type = factory.LazyFunction(set)
year = factory.Faker("year")
| 27.842105
| 47
| 0.73724
| 58
| 529
| 6.603448
| 0.465517
| 0.347258
| 0.402089
| 0.195822
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 529
| 18
| 48
| 29.388889
| 0.87643
| 0
| 0
| 0
| 0
| 0
| 0.017013
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.928571
| 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
|
1b60b2a02a54a2caad48b99db37d7a1aff28f3c1
| 34
|
py
|
Python
|
python/testData/inspections/PyUnreachableCodeInspection/ExprOrSysExitAssignedToVar.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/inspections/PyUnreachableCodeInspection/ExprOrSysExitAssignedToVar.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/inspections/PyUnreachableCodeInspection/ExprOrSysExitAssignedToVar.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
import sys
FOO = abc or sys.exit()
| 17
| 23
| 0.705882
| 7
| 34
| 3.428571
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 34
| 2
| 23
| 17
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
1b8f2fa07f11a2d7d4582f4227963eeb2e7da59b
| 66
|
py
|
Python
|
infracheck/checks/__init__.py
|
riotkit-org/infracheck
|
e328e9ad722e6e2906aca378270099017198f602
|
[
"Apache-2.0"
] | 10
|
2019-08-16T23:08:43.000Z
|
2021-05-05T06:26:04.000Z
|
infracheck/checks/__init__.py
|
riotkit-org/infracheck
|
e328e9ad722e6e2906aca378270099017198f602
|
[
"Apache-2.0"
] | 39
|
2019-04-13T10:00:21.000Z
|
2021-11-24T15:02:05.000Z
|
infracheck/checks/__init__.py
|
zwiazeksyndykalistowpolski/infracheck
|
e328e9ad722e6e2906aca378270099017198f602
|
[
"Apache-2.0"
] | 1
|
2019-05-09T15:31:49.000Z
|
2019-05-09T15:31:49.000Z
|
"""
This file makes the directory a package for unit tests
"""
| 22
| 58
| 0.681818
| 10
| 66
| 4.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.227273
| 66
| 3
| 59
| 22
| 0.882353
| 0.818182
| 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
|
59f329447185347f2d74ba34a626a925df4f4bd0
| 262
|
py
|
Python
|
pocsuite/lib/utils/sebug.py
|
J-XianSheng/Pocsuite
|
f529e7c193f0b291bf4cdf578829863d04a4e611
|
[
"OLDAP-2.6",
"Python-2.0",
"OLDAP-2.7"
] | null | null | null |
pocsuite/lib/utils/sebug.py
|
J-XianSheng/Pocsuite
|
f529e7c193f0b291bf4cdf578829863d04a4e611
|
[
"OLDAP-2.6",
"Python-2.0",
"OLDAP-2.7"
] | null | null | null |
pocsuite/lib/utils/sebug.py
|
J-XianSheng/Pocsuite
|
f529e7c193f0b291bf4cdf578829863d04a4e611
|
[
"OLDAP-2.6",
"Python-2.0",
"OLDAP-2.7"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright (c) 2014-2015 pocsuite developers (http://seebug.org)
See the file 'docs/COPYING' for copying permission
"""
from pocsuite.thirdparty.knowledge.webservice import Clinet
class seebugBase():
pass
| 18.714286
| 63
| 0.71374
| 34
| 262
| 5.5
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.141221
| 262
| 13
| 64
| 20.153846
| 0.791111
| 0.599237
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 0
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
59f543e861aacc256685f0eace2c9895f177ba63
| 535
|
py
|
Python
|
logpy/log/__init__.py
|
SebastiaanBij/log.py
|
8d6c3ddcb9a2907bdaeed4869cb5b8e5d6e96252
|
[
"MIT"
] | null | null | null |
logpy/log/__init__.py
|
SebastiaanBij/log.py
|
8d6c3ddcb9a2907bdaeed4869cb5b8e5d6e96252
|
[
"MIT"
] | 2
|
2022-01-19T14:50:53.000Z
|
2022-01-19T14:50:57.000Z
|
logpy/log/__init__.py
|
SebastiaanBij/log.py
|
8d6c3ddcb9a2907bdaeed4869cb5b8e5d6e96252
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# ||Documentation||
########################################################################################################################
"""
The log module containing:
- Format
- Level
- Levels
These are used to edit your logs appearance and importance. You can use them in the logpy.logger.Logger object.
"""
# ||Imports||
########################################################################################################################
from .level import Level, Levels
from .format import Format
| 29.722222
| 120
| 0.398131
| 42
| 535
| 5.071429
| 0.785714
| 0.103286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002062
| 0.093458
| 535
| 17
| 121
| 31.470588
| 0.437113
| 0.405607
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
59f5c46a76bff24a310befb2632e8e5364e87b9f
| 180
|
py
|
Python
|
TESTING NEW SENTIMENT.py
|
zacandcheese/Predicting-Elections
|
94e53825d746335f50de43a4efd32dbb1460439f
|
[
"MIT"
] | 1
|
2019-01-06T21:01:59.000Z
|
2019-01-06T21:01:59.000Z
|
TESTING NEW SENTIMENT.py
|
zacandcheese/Predicting-Elections
|
94e53825d746335f50de43a4efd32dbb1460439f
|
[
"MIT"
] | null | null | null |
TESTING NEW SENTIMENT.py
|
zacandcheese/Predicting-Elections
|
94e53825d746335f50de43a4efd32dbb1460439f
|
[
"MIT"
] | 1
|
2019-02-20T02:28:43.000Z
|
2019-02-20T02:28:43.000Z
|
#TESTING NEW SENTIMENT
from textblob import TextBlob
message = "GET HIM OUT. Trump sucks"
analysis = TextBlob(message)
print(analysis.sentiment.polarity)
print(analysis.sentiment)
| 25.714286
| 36
| 0.811111
| 23
| 180
| 6.347826
| 0.652174
| 0.205479
| 0.30137
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105556
| 180
| 7
| 37
| 25.714286
| 0.906832
| 0.116667
| 0
| 0
| 0
| 0
| 0.150943
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0.4
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
59fc65dc47843166c7a3c4a8984712fc5c8ddcaf
| 1,571
|
py
|
Python
|
evaluator.py
|
ddimmery/softblock
|
25f1ed61a0ab4c377e0b57546b57287bb90667bf
|
[
"MIT"
] | 1
|
2022-02-07T04:35:56.000Z
|
2022-02-07T04:35:56.000Z
|
evaluator.py
|
ddimmery/softblock
|
25f1ed61a0ab4c377e0b57546b57287bb90667bf
|
[
"MIT"
] | null | null | null |
evaluator.py
|
ddimmery/softblock
|
25f1ed61a0ab4c377e0b57546b57287bb90667bf
|
[
"MIT"
] | 2
|
2021-11-19T19:26:36.000Z
|
2022-02-07T04:36:01.000Z
|
#! /usr/bin/python3
from abc import ABCMeta, abstractmethod
from numbers import Number
from typing import Union, List
import numpy as np
from scipy.stats import norm
from dgp import DGP
NORMAL_QUANTILE = norm.ppf(0.975)
class Evaluator(metaclass=ABCMeta):
def __init__(self) -> None:
pass
@abstractmethod
def evaluate(self, X, Y0, Y1, ATE, ITE, A, YA, ATEhat, ITEhat) -> Number:
pass
class ATEError(Evaluator):
def evaluate(self, X, Y0, Y1, ATE, ITE, A, YA, ATEhat, ITEhat) -> Number:
return ATE - ATEhat.estimate
class ITEBias(Evaluator):
def evaluate(self, X, Y0, Y1, ATE, ITE, A, YA, ATEhat, ITEhat) -> Number:
return np.average(ITE - ITEhat.estimate)
class ITEMSE(Evaluator):
def evaluate(self, X, Y0, Y1, ATE, ITE, A, YA, ATEhat, ITEhat) -> Number:
return np.average(np.power(ITE - ITEhat.estimate, 2))
class CovariateMSE(Evaluator):
def evaluate(self, X, Y0, Y1, ATE, ITE, A, YA, ATEhat, ITEhat) -> Number:
X1 = np.average(X[A==1, :], 0)
X0 = np.average(X[A==0, :], 0)
return np.mean(np.power(X1 - X0, 2)).item()
class ATECovers(Evaluator):
def evaluate(self, X, Y0, Y1, ATE, ITE, A, YA, ATEhat, ITEhat) -> Number:
lwr = ATEhat.estimate - NORMAL_QUANTILE * ATEhat.std_error
upr = ATEhat.estimate + NORMAL_QUANTILE * ATEhat.std_error
return (ATE >= lwr) & (ATE <= upr)
class CISize(Evaluator):
def evaluate(self, X, Y0, Y1, ATE, ITE, A, YA, ATEhat, ITEhat) -> Number:
return 2 * NORMAL_QUANTILE * ATEhat.std_error
| 27.561404
| 77
| 0.642903
| 226
| 1,571
| 4.420354
| 0.278761
| 0.077077
| 0.105105
| 0.112112
| 0.537538
| 0.50951
| 0.50951
| 0.425425
| 0.425425
| 0.425425
| 0
| 0.02459
| 0.223425
| 1,571
| 56
| 78
| 28.053571
| 0.794262
| 0.011458
| 0
| 0.257143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.228571
| false
| 0.057143
| 0.171429
| 0.114286
| 0.771429
| 0
| 0
| 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
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
940cffb215cef470d27793bc04c4b2e3949db124
| 118
|
py
|
Python
|
flocker/docs/test/__init__.py
|
wallnerryan/flocker-profiles
|
bcd3ced8edf4af86a68070ff6a714c45f9f4913b
|
[
"Apache-2.0"
] | null | null | null |
flocker/docs/test/__init__.py
|
wallnerryan/flocker-profiles
|
bcd3ced8edf4af86a68070ff6a714c45f9f4913b
|
[
"Apache-2.0"
] | null | null | null |
flocker/docs/test/__init__.py
|
wallnerryan/flocker-profiles
|
bcd3ced8edf4af86a68070ff6a714c45f9f4913b
|
[
"Apache-2.0"
] | null | null | null |
# Copyright Hybrid Logic Ltd. See LICENSE file for details.
"""
Tests for components for Flocker documentation.
"""
| 19.666667
| 60
| 0.745763
| 15
| 118
| 5.866667
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169492
| 118
| 5
| 61
| 23.6
| 0.897959
| 0.90678
| 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
|
941946019e9da672a52e98d9564319a633079753
| 3,178
|
py
|
Python
|
app/models.py
|
phaksheet/guessthesong
|
f5d70dea5271286b2e8faea5dd6cb04a06635eee
|
[
"MIT"
] | 2
|
2018-12-15T21:17:10.000Z
|
2018-12-15T21:17:17.000Z
|
app/models.py
|
phaksheet/guessthesong
|
f5d70dea5271286b2e8faea5dd6cb04a06635eee
|
[
"MIT"
] | 4
|
2018-12-18T15:38:18.000Z
|
2018-12-18T16:44:34.000Z
|
app/models.py
|
DubThink/Guessong
|
9200dddd27658f2627d26b1b1fd9de6c56b8931a
|
[
"MIT"
] | null | null | null |
from app import db, login
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from time import time
# class PlaylistScore(db.Model):
# __tablename__='playlistscore'
# # id = db.Column(db.Integer, primary_key=True)
# user_id = db.Column(db.Integer, db.ForeignKey('user.id'), primary_key=True)
# playlist_id = db.Column(db.Integer, db.ForeignKey('playlist.id'), primary_key=True)
# timestamp = db.Column(db.Integer)
# score = db.Column(db.Integer)
#
# user = db.relationship("User",back_populates="scores")
# playlist=db.relationship("Playlist",back_populates="scores")
#
playlist_song = db.Table('playlistsong', db.Model.metadata,
db.Column('song_id', db.Integer, db.ForeignKey('song.id')),
db.Column('playlist_id', db.Integer, db.ForeignKey('playlist.id'))
)
class User(UserMixin,db.Model):
__tablename__='user'
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(32), index=True, unique=True)
email = db.Column(db.String(120), index=True)
password_hash = db.Column(db.String(128))
# scores = db.relationship("PlaylistScore",back_populates="user")
def set_password(self, password):
self.password_hash = generate_password_hash(password)
def check_password(self, password):
return check_password_hash(self.password_hash, password)
def __repr__(self):
return '<User {} {} {}>'.format(self.id,self.username,self.email)
@login.user_loader
def load_user(id):
return User.query.get(int(id))
class Playlist(db.Model):
__tablename__='playlist'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(256), index=True)
thumbnail = db.Column(db.String(256))
spotifyid = db.Column(db.String(1024))
songs = db.relationship("Song",
secondary=playlist_song)
def toJSON(self):
return {
'id':self.id,
'name':self.name,
'thumbnail':self.thumbnail,
'song_count':len(self.songs),
}
def __repr__(self):
return '<Playlist id:{} name:{}>'.format(self.id,self.name)
class Song(db.Model):
__tablename__='song'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(256))
artist = db.Column(db.String(256))
album = db.Column(db.String(256))
thumbnail_url = db.Column(db.String(256))
preview_url = db.Column(db.String(256))
external_url = db.Column(db.String(256))
itunes_resource_id = db.Column(db.Integer, index=True)
def toJSON(self):
return {
"name": self.name,
"artist": self.artist,
"album": self.album,
"thumbnail_url": self.thumbnail_url,
"preview_url": self.preview_url,
"external_url": self.external_url,
"itunes_resource_id": self.itunes_resource_id,
}
def __repr__(self):
return "Song<'%s' by '%s' on album '%s' with itunes id %i and internal id %i>" %\
(self.name,self.artist,self.album,self.itunes_resource_id,self.id)
| 35.311111
| 91
| 0.644745
| 412
| 3,178
| 4.786408
| 0.194175
| 0.093306
| 0.106491
| 0.097363
| 0.239351
| 0.188134
| 0.121704
| 0.090264
| 0.056795
| 0.056795
| 0
| 0.014394
| 0.213027
| 3,178
| 89
| 92
| 35.707865
| 0.77409
| 0.170548
| 0
| 0.15873
| 1
| 0.015873
| 0.102975
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.126984
| false
| 0.095238
| 0.063492
| 0.111111
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 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
| 1
| 1
| 0
|
0
| 4
|
9437bbcbf7b2f4fea6ad8781f5069a60771c5163
| 226
|
py
|
Python
|
problem/01000~09999/02712/2712.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-19T16:37:44.000Z
|
2019-04-19T16:37:44.000Z
|
problem/01000~09999/02712/2712.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-20T11:42:44.000Z
|
2019-04-20T11:42:44.000Z
|
problem/01000~09999/02712/2712.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 3
|
2019-04-19T16:37:47.000Z
|
2021-10-25T00:45:00.000Z
|
for _ in range(int(input())):
v,e=input().split()
v=float(v)
if e=="kg":print("%.4f"%(v*2.2046),"lb")
if e=="lb":print("%.4f"%(v*0.4536),"kg")
if e=="l":print("%.4f"%(v*0.2642),"g")
if e=="g":print("%.4f"%(v*3.7854),"l")
| 32.285714
| 41
| 0.504425
| 48
| 226
| 2.354167
| 0.479167
| 0.106195
| 0.283186
| 0.159292
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115942
| 0.084071
| 226
| 7
| 42
| 32.285714
| 0.429952
| 0
| 0
| 0
| 0
| 0
| 0.123348
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.571429
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
9485d4e0e3f73656554c2a183b839bc66ee86e3a
| 568
|
py
|
Python
|
QuickPotato/statistical/verification.py
|
afparsons/QuickPotato
|
6d0b967c506bb9db5adf7d3d4983bfcfd726b030
|
[
"MIT"
] | 130
|
2020-11-19T00:19:53.000Z
|
2022-01-18T21:16:40.000Z
|
QuickPotato/statistical/verification.py
|
afparsons/QuickPotato
|
6d0b967c506bb9db5adf7d3d4983bfcfd726b030
|
[
"MIT"
] | 16
|
2020-11-22T14:27:11.000Z
|
2022-01-19T17:38:57.000Z
|
QuickPotato/statistical/verification.py
|
afparsons/QuickPotato
|
6d0b967c506bb9db5adf7d3d4983bfcfd726b030
|
[
"MIT"
] | 11
|
2020-12-02T08:36:46.000Z
|
2021-12-27T06:52:23.000Z
|
from QuickPotato.utilities.decorators import save_boundary_evidence
@save_boundary_evidence
def check_max_boundary_of_measurement(value, boundary):
"""
:return:
"""
if boundary is None:
return None
elif float(value) < float(boundary):
return True
else:
return False
@save_boundary_evidence
def check_min_boundary_of_measurement(value, boundary):
"""
:return:
"""
if boundary is None:
return None
elif float(value) > float(boundary):
return True
else:
return False
| 17.75
| 67
| 0.65493
| 64
| 568
| 5.59375
| 0.375
| 0.156425
| 0.167598
| 0.128492
| 0.815642
| 0.659218
| 0.659218
| 0.659218
| 0.659218
| 0.659218
| 0
| 0
| 0.267606
| 568
| 31
| 68
| 18.322581
| 0.860577
| 0.02993
| 0
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.117647
| false
| 0
| 0.058824
| 0
| 0.529412
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
8483418c8e0d6cb2b371c53a9f72fa799e487667
| 1,539
|
py
|
Python
|
stake_last_all_api/chain_interface/chain_getBlock.py
|
DerWalundDieKatze/Yumekui
|
cb3174103ced7474ce6d1abd774b399557dcaf4f
|
[
"Apache-2.0"
] | null | null | null |
stake_last_all_api/chain_interface/chain_getBlock.py
|
DerWalundDieKatze/Yumekui
|
cb3174103ced7474ce6d1abd774b399557dcaf4f
|
[
"Apache-2.0"
] | null | null | null |
stake_last_all_api/chain_interface/chain_getBlock.py
|
DerWalundDieKatze/Yumekui
|
cb3174103ced7474ce6d1abd774b399557dcaf4f
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# encoding: utf-8
'''
@author: caroline
@license: (C) Copyright 2019-2022, Node Supply Chain Manager Corporation Limited.
@contact: caroline.fang.cc@gmail.com
@software: pycharm
@file: chain_getBlock.py
@time: 2020/1/8 5:22 下午
@desc:
'''
'''
1. chain_getblock
作用：用于获取区块信息
参数：
height usage: 当前区块高度
返回值：区块明细信息
示例代码
请求：
curl http://localhost:15645 -X POST --data '{"jsonrpc":"2.0","method":"chain_getBlock","params":[1], "id": 3}' -H "Content-Type:application/json"
响应：
{
"jsonrpc": "2.0",
"id": 3,
"result": {
"Hash": "0xcfa283a5b591da5a15971bf62fffae87e649bcf749776f4c83ffe50e65920f8e",
"ChainId": "00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"Version": 1,
"PreviousHash": "0x1717b4b9f740cebeb2659886122a29c0876ed906dd05370319fee4ecf219b1e9",
"GasLimit": 180000000,
"GasUsed": 0,
"Height": 1,
"Timestamp": 1559272779,
"StateRoot": "0xd7bd5b3af4f2f1fb3d484743052c2e911f9fb7b04131660912244347508f16a9",
"TxRoot": "0x",
"LeaderAddress": "0x0374bf9c8ea268b5548686685dda4a74fc95903ca7c440e5b187a718b595c1f374",
"MinorAddresses": [
"0x0374bf9c8ea268b5548686685dda4a74fc95903ca7c440e5b187a718b595c1f374",
"0x02f11cfd138eaaaba5f8c0a7f1f2791bdabd0b0c404734dceac820aa9b683bfb1a",
"0x03949aad279a32536ce20f0957c9c6ba592532ea70e5f174332bed4c94382354e3",
"0x0263bc5628fa7033727d14b5d6714ac7d6a5d34bc5db994a896f54499f12db9b0b"
],
"Txs": [
]
}
}
'''
| 29.596154
| 146
| 0.753736
| 110
| 1,539
| 10.518182
| 0.827273
| 0.033708
| 0.015557
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.389177
| 0.123457
| 1,539
| 52
| 147
| 29.596154
| 0.468495
| 0.161144
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 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 | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
848457db65dbf90060b6fd44899871470881d29f
| 93
|
py
|
Python
|
app/settings.py
|
clioo/checker
|
e9bed73b423c5ac3e9ce0d3b850525df97bcd186
|
[
"MIT"
] | null | null | null |
app/settings.py
|
clioo/checker
|
e9bed73b423c5ac3e9ce0d3b850525df97bcd186
|
[
"MIT"
] | null | null | null |
app/settings.py
|
clioo/checker
|
e9bed73b423c5ac3e9ce0d3b850525df97bcd186
|
[
"MIT"
] | null | null | null |
USERS = {}
DEBUG = False
try:
from local_settings import *
except ImportError:
pass
| 11.625
| 32
| 0.677419
| 11
| 93
| 5.636364
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.247312
| 93
| 8
| 33
| 11.625
| 0.885714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 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
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
84b52f825eba009b4171df4d75d475b3fabb2310
| 411
|
py
|
Python
|
tesserarius/extensions/__init__.py
|
rehive/tesserarius
|
5c1ddddd856c0d8765d9ea05c7317962cb23ed8c
|
[
"MIT"
] | 1
|
2020-03-03T13:33:44.000Z
|
2020-03-03T13:33:44.000Z
|
tesserarius/extensions/__init__.py
|
rehive/tesserarius
|
5c1ddddd856c0d8765d9ea05c7317962cb23ed8c
|
[
"MIT"
] | 2
|
2020-03-03T18:29:29.000Z
|
2020-07-17T12:59:45.000Z
|
tesserarius/extensions/__init__.py
|
rehive/tesserarius
|
5c1ddddd856c0d8765d9ea05c7317962cb23ed8c
|
[
"MIT"
] | null | null | null |
from invoke import Collection
from tesserarius.extensions.serviceaccount import collection as sa_collection
from tesserarius.extensions.roles import collection as roles_collection
from tesserarius.extensions.tasks import bind
collection = Collection("extensions")
collection.add_task(bind, "bind")
collection.add_collection(sa_collection, "serviceaccount")
collection.add_collection(roles_collection, "roles")
| 41.1
| 77
| 0.856448
| 48
| 411
| 7.1875
| 0.291667
| 0.13913
| 0.217391
| 0.304348
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072993
| 411
| 9
| 78
| 45.666667
| 0.905512
| 0
| 0
| 0
| 0
| 0
| 0.080292
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
84c52e9b63c47756c53e886c69f2eb6e50df996f
| 177
|
py
|
Python
|
dash/conf.example.py
|
dongweiming/django-linux-dash
|
bc7100766a727f437d4e0bb68d5e179d662e3839
|
[
"MIT"
] | 44
|
2015-01-05T04:37:11.000Z
|
2019-08-28T16:05:14.000Z
|
dash/conf.example.py
|
dongweiming/django-linux-dash
|
bc7100766a727f437d4e0bb68d5e179d662e3839
|
[
"MIT"
] | 1
|
2015-02-07T17:52:59.000Z
|
2015-02-08T00:15:02.000Z
|
dash/conf.example.py
|
dongweiming/django-linux-dash
|
bc7100766a727f437d4e0bb68d5e179d662e3839
|
[
"MIT"
] | 27
|
2015-01-28T16:20:17.000Z
|
2021-10-03T05:33:44.000Z
|
# Define the path to the DNSMasq Lease file
dnsmasq_lease_file = '/var/lib/misc/dnsmasq.leases'
# Read list of hosts to ping from csv file ping_hosts
ping_hosts = 'ping_hosts'
| 29.5
| 53
| 0.774011
| 31
| 177
| 4.258065
| 0.580645
| 0.204545
| 0.242424
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152542
| 177
| 5
| 54
| 35.4
| 0.88
| 0.525424
| 0
| 0
| 0
| 0
| 0.469136
| 0.345679
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
84ef3acdffd9136f792645513abca616abe487a1
| 968
|
py
|
Python
|
setup.py
|
psagers/salvage
|
a1b4b7e596d9895b2dbf65f5552fc5dd91ed88ac
|
[
"BSD-2-Clause"
] | null | null | null |
setup.py
|
psagers/salvage
|
a1b4b7e596d9895b2dbf65f5552fc5dd91ed88ac
|
[
"BSD-2-Clause"
] | null | null | null |
setup.py
|
psagers/salvage
|
a1b4b7e596d9895b2dbf65f5552fc5dd91ed88ac
|
[
"BSD-2-Clause"
] | null | null | null |
#!/usr/bin/env python
from setuptools import setup
setup(
name='salvage',
version='0.1.3',
description='Allows a group of people to hold sensitive information using a simple secret-splitting scheme.',
long_description=open('README.rst').read(),
author='Peter Sagerson',
author_email='psagersDjwublJf@ignorare.net',
packages=[],
scripts=['bin/salvage'],
url='https://bitbucket.org/psagers/salvage',
license='BSD',
install_requires=[],
classifiers=[
'Development Status :: 4 - Beta',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Topic :: Security',
],
)
| 31.225806
| 113
| 0.61157
| 104
| 968
| 5.663462
| 0.634615
| 0.225806
| 0.297114
| 0.220713
| 0.091681
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021622
| 0.235537
| 968
| 30
| 114
| 32.266667
| 0.774324
| 0.020661
| 0
| 0
| 0
| 0
| 0.579725
| 0.029567
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.038462
| 0
| 0.038462
| 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
|
ca0b8bfdc9daff2c44a308929bb0153d913beecd
| 327
|
py
|
Python
|
src/python/WMCore/WMBS/Oracle/Workflow/GetInjectedWorkflows.py
|
khurtado/WMCore
|
f74e252412e49189a92962945a94f93bec81cd1e
|
[
"Apache-2.0"
] | 21
|
2015-11-19T16:18:45.000Z
|
2021-12-02T18:20:39.000Z
|
src/python/WMCore/WMBS/Oracle/Workflow/GetInjectedWorkflows.py
|
khurtado/WMCore
|
f74e252412e49189a92962945a94f93bec81cd1e
|
[
"Apache-2.0"
] | 5,671
|
2015-01-06T14:38:52.000Z
|
2022-03-31T22:11:14.000Z
|
src/python/WMCore/WMBS/Oracle/Workflow/GetInjectedWorkflows.py
|
khurtado/WMCore
|
f74e252412e49189a92962945a94f93bec81cd1e
|
[
"Apache-2.0"
] | 67
|
2015-01-21T15:55:38.000Z
|
2022-02-03T19:53:13.000Z
|
#!/usr/bin/env python
"""
_GetInjectedWorkflows_
Oracle implementation of Workflow.GetInjectedWorkflows
"""
__all__ = []
from WMCore.WMBS.MySQL.Workflow.GetInjectedWorkflows import GetInjectedWorkflows as MySQLGetInjectedWorkflows
class GetInjectedWorkflows(MySQLGetInjectedWorkflows):
"""
Oracle Template
"""
| 19.235294
| 109
| 0.788991
| 26
| 327
| 9.692308
| 0.730769
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125382
| 327
| 16
| 110
| 20.4375
| 0.881119
| 0.351682
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
ca2333fe103f109dc4fa5d722b1749568170777a
| 172
|
py
|
Python
|
python/tvm/cpp/__init__.py
|
landcold7/tvm-learn
|
b4348123dc4bea6f8bb1119deffe55ab374d6081
|
[
"Apache-2.0"
] | 4
|
2019-03-29T06:04:45.000Z
|
2019-11-23T14:30:47.000Z
|
python/tvm/cpp/__init__.py
|
tianxingyzxq/tvm-learn
|
b4348123dc4bea6f8bb1119deffe55ab374d6081
|
[
"Apache-2.0"
] | null | null | null |
python/tvm/cpp/__init__.py
|
tianxingyzxq/tvm-learn
|
b4348123dc4bea6f8bb1119deffe55ab374d6081
|
[
"Apache-2.0"
] | 3
|
2019-03-25T11:46:00.000Z
|
2019-11-23T14:30:52.000Z
|
"""C++ backend related python scripts"""
from __future__ import absolute_import as _abs
from .function import *
from ._ctypes._api import register_node
from . import expr
| 24.571429
| 46
| 0.784884
| 24
| 172
| 5.25
| 0.708333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139535
| 172
| 6
| 47
| 28.666667
| 0.851351
| 0.197674
| 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
|
ca4f8f538fec70954cca31860702e556a0e82b05
| 129
|
py
|
Python
|
datasets/__init__.py
|
Zzlongjuanfeng/pytorch-deep-coral
|
6829a3cb82968ab4e80d80906a59ea453ec2d147
|
[
"MIT"
] | null | null | null |
datasets/__init__.py
|
Zzlongjuanfeng/pytorch-deep-coral
|
6829a3cb82968ab4e80d80906a59ea453ec2d147
|
[
"MIT"
] | null | null | null |
datasets/__init__.py
|
Zzlongjuanfeng/pytorch-deep-coral
|
6829a3cb82968ab4e80d80906a59ea453ec2d147
|
[
"MIT"
] | null | null | null |
from .mnist import get_mnist
from .usps import get_usps
from .visda import get_visda
__all__ = (get_usps, get_mnist, get_visda)
| 21.5
| 42
| 0.79845
| 22
| 129
| 4.227273
| 0.318182
| 0.290323
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139535
| 129
| 5
| 43
| 25.8
| 0.837838
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 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
|
ca7ab84b0adb7da293b61b31c1742daf47c6d6a4
| 135
|
py
|
Python
|
src/wsgi.py
|
whs2k/ImageComparison
|
32d6f72680306cf376ff59975fa0349ae2d75b26
|
[
"MIT"
] | null | null | null |
src/wsgi.py
|
whs2k/ImageComparison
|
32d6f72680306cf376ff59975fa0349ae2d75b26
|
[
"MIT"
] | null | null | null |
src/wsgi.py
|
whs2k/ImageComparison
|
32d6f72680306cf376ff59975fa0349ae2d75b26
|
[
"MIT"
] | null | null | null |
from main import app
if __name__ == "__main__":
# app = imp.load_source('app', '0.2.1-whs-invoSho_yolo.py')
app.run(debug=True)
| 27
| 62
| 0.666667
| 23
| 135
| 3.478261
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026316
| 0.155556
| 135
| 4
| 63
| 33.75
| 0.675439
| 0.422222
| 0
| 0
| 0
| 0
| 0.109589
| 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
|
ca83bec4b271cc44fa0cd7aac7b3a219098d7e7b
| 635
|
py
|
Python
|
tasks/daily.py
|
ukwa/ukwa-tasks
|
bd8ef8a038a7ab45089d2ecfd97c61d599bc531a
|
[
"Apache-2.0"
] | 1
|
2018-09-26T12:37:33.000Z
|
2018-09-26T12:37:33.000Z
|
tasks/daily.py
|
ukwa/ukwa-tasks
|
bd8ef8a038a7ab45089d2ecfd97c61d599bc531a
|
[
"Apache-2.0"
] | 1
|
2021-06-01T21:50:27.000Z
|
2021-06-01T21:50:27.000Z
|
tasks/daily.py
|
ukwa/ukwa-tasks
|
bd8ef8a038a7ab45089d2ecfd97c61d599bc531a
|
[
"Apache-2.0"
] | 1
|
2021-04-11T09:47:39.000Z
|
2021-04-11T09:47:39.000Z
|
#!/usr/bin/env python
# encoding: utf-8
"""
This module summarises the tasks that are to be run daily.
"""
import luigi
from tasks.hdfs.listings import GenerateHDFSSummaries
from tasks.backup.postgresql import BackupProductionW3ACTPostgres
class DailyIngestTasks(luigi.WrapperTask):
"""
Daily ingest tasks, should generally be a few hours ahead of the access-side tasks (below):
"""
def requires(self):
return [BackupProductionW3ACTPostgres(),
GenerateHDFSSummaries()]
if __name__ == '__main__':
# Running from Python, but using the Luigi scheduler:
luigi.run(['DailyIngestTasks'])
| 26.458333
| 95
| 0.719685
| 72
| 635
| 6.236111
| 0.722222
| 0.040089
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005814
| 0.187402
| 635
| 23
| 96
| 27.608696
| 0.864341
| 0.376378
| 0
| 0
| 1
| 0
| 0.06469
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.333333
| 0.111111
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
ca8600c1b3f2fdba3483c79e8d58b4a02aecd85b
| 86
|
py
|
Python
|
unity_build_pipeline/Support/config.py
|
MadCoder39/UnityBuildPipelineiOS
|
71d6424bea31c3df458fba29b670ced2ac6fe7f2
|
[
"MIT"
] | 2
|
2021-03-29T17:23:51.000Z
|
2021-03-31T12:20:39.000Z
|
unity_build_pipeline/Support/config.py
|
MadCoder39/UnityBuildPipelineiOS
|
71d6424bea31c3df458fba29b670ced2ac6fe7f2
|
[
"MIT"
] | null | null | null |
unity_build_pipeline/Support/config.py
|
MadCoder39/UnityBuildPipelineiOS
|
71d6424bea31c3df458fba29b670ced2ac6fe7f2
|
[
"MIT"
] | 2
|
2021-03-05T10:35:46.000Z
|
2021-03-29T17:24:43.000Z
|
import os
pipeline_source_path = os.path.dirname(os.path.abspath(__file__ + '/../'))
| 21.5
| 74
| 0.72093
| 12
| 86
| 4.666667
| 0.666667
| 0.214286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.093023
| 86
| 3
| 75
| 28.666667
| 0.717949
| 0
| 0
| 0
| 0
| 0
| 0.046512
| 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
|
0468ac10dcd28c27567ebaf4b2425bfe0612f089
| 49
|
py
|
Python
|
blockdiagram/__init__.py
|
cmspeed/blockdiagram
|
a4c968fe36135b3539db8cc11baf02e7237b905a
|
[
"Apache-2.0"
] | 34
|
2019-06-16T18:42:47.000Z
|
2022-02-28T12:38:22.000Z
|
blockdiagram/__init__.py
|
cmspeed/blockdiagram
|
a4c968fe36135b3539db8cc11baf02e7237b905a
|
[
"Apache-2.0"
] | null | null | null |
blockdiagram/__init__.py
|
cmspeed/blockdiagram
|
a4c968fe36135b3539db8cc11baf02e7237b905a
|
[
"Apache-2.0"
] | 2
|
2019-06-24T19:19:50.000Z
|
2022-02-28T12:38:23.000Z
|
name = "blockdiagram"
from .blockdiagram import *
| 24.5
| 27
| 0.77551
| 5
| 49
| 7.6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122449
| 49
| 2
| 27
| 24.5
| 0.883721
| 0
| 0
| 0
| 0
| 0
| 0.24
| 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
|
04695ba4e6f605d6969eff75a20fcfba2e8e1182
| 218
|
py
|
Python
|
modules/__init__.py
|
amuritna/phenny
|
c01f409f41db125fe3f50093ed1ec3454f95a529
|
[
"EFL-2.0"
] | 7
|
2018-10-29T18:01:47.000Z
|
2022-01-21T04:13:46.000Z
|
modules/__init__.py
|
amuritna/phenny
|
c01f409f41db125fe3f50093ed1ec3454f95a529
|
[
"EFL-2.0"
] | 225
|
2018-03-08T10:41:50.000Z
|
2021-11-01T19:51:17.000Z
|
modules/__init__.py
|
amuritna/phenny
|
c01f409f41db125fe3f50093ed1ec3454f95a529
|
[
"EFL-2.0"
] | 44
|
2018-03-19T15:30:15.000Z
|
2020-07-29T08:47:45.000Z
|
from __init__ import all_modules
__all__ = all_modules(__file__)
def caseless_equal(str_a, str_b):
return str_a.casefold() == str_b.casefold()
def caseless_list(str_list):
return list(map(str.casefold, str_list))
| 21.8
| 44
| 0.779817
| 35
| 218
| 4.228571
| 0.457143
| 0.135135
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.110092
| 218
| 9
| 45
| 24.222222
| 0.762887
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.333333
| 0.833333
| 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
| 0
| 1
| 1
| 0
|
0
| 4
|
046a1ed50b52d5205fac79ff8d6c82acb32dc96d
| 184
|
py
|
Python
|
prepro.py
|
martimfj/VBA-Compiler
|
c5a88843a0d13d561f4baba312bbaf7f8a2e5ca0
|
[
"MIT"
] | null | null | null |
prepro.py
|
martimfj/VBA-Compiler
|
c5a88843a0d13d561f4baba312bbaf7f8a2e5ca0
|
[
"MIT"
] | 9
|
2019-02-23T13:19:30.000Z
|
2019-06-08T14:34:23.000Z
|
prepro.py
|
martimfj/VBA-Compiler
|
c5a88843a0d13d561f4baba312bbaf7f8a2e5ca0
|
[
"MIT"
] | null | null | null |
import re
class PrePro:
@staticmethod
def filtra(code):
filter_comments = re.sub("'.*\n", "\n", code)
return re.sub("^(\s*(\r\n|\n|\r))", '', filter_comments)
| 26.285714
| 65
| 0.548913
| 25
| 184
| 3.96
| 0.6
| 0.282828
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222826
| 184
| 7
| 65
| 26.285714
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0.135135
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
0473865199e18bdd0251246cfdcb9960cf460e48
| 86
|
py
|
Python
|
tankopedia/__main__.py
|
zifter/telegram_wotblitz_bot
|
a6fa54ebe8b49bd7c82b16a87ca6cbd156b8df33
|
[
"MIT"
] | null | null | null |
tankopedia/__main__.py
|
zifter/telegram_wotblitz_bot
|
a6fa54ebe8b49bd7c82b16a87ca6cbd156b8df33
|
[
"MIT"
] | null | null | null |
tankopedia/__main__.py
|
zifter/telegram_wotblitz_bot
|
a6fa54ebe8b49bd7c82b16a87ca6cbd156b8df33
|
[
"MIT"
] | null | null | null |
from telegrambot import telegrambot
if __name__ == '__main__':
telegrambot.run()
| 17.2
| 35
| 0.744186
| 9
| 86
| 6.222222
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162791
| 86
| 4
| 36
| 21.5
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0.093023
| 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
|
04819d78f1708d71bda7402ee99244028ac4e4b9
| 115
|
py
|
Python
|
Python/1 pengenalan python/2 komentar dan operasi matematika/1 komentar satu baris.py
|
ekovegeance-com/tree
|
7a429d0f35c5a71769820177f60d22e7231b4e40
|
[
"Apache-2.0"
] | 3
|
2020-12-21T13:01:35.000Z
|
2020-12-27T08:25:57.000Z
|
Python/1 pengenalan python/2 komentar dan operasi matematika/1 komentar satu baris.py
|
ekovegeance-com/tree
|
7a429d0f35c5a71769820177f60d22e7231b4e40
|
[
"Apache-2.0"
] | 2
|
2020-12-05T23:26:16.000Z
|
2020-12-27T10:21:47.000Z
|
Python/1 pengenalan python/2 komentar dan operasi matematika/1 komentar satu baris.py
|
faizH3/faiz
|
c6a38717b91db8f76a0c4c4fd3168eb3ce8123ef
|
[
"Apache-2.0"
] | 3
|
2021-07-27T19:05:40.000Z
|
2021-11-08T09:03:23.000Z
|
#seratus sembilan puluh dua juta tiga puluh sembilan ribu rupiah
jumlah_semuanya = 192039000
print(jumlah_semuanya)
| 38.333333
| 64
| 0.852174
| 16
| 115
| 6
| 0.75
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 0.113043
| 115
| 3
| 65
| 38.333333
| 0.852941
| 0.547826
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 1
|
0
| 4
|
0489db4617a19500f40bd55977d79839e91ee1c9
| 79
|
py
|
Python
|
Source/Qt5/modules/gui.py
|
TheEnvironmentGuy/noodle-pipe
|
175ee86618ff202c3291f1bfa3952a14b9d6ac75
|
[
"MIT"
] | null | null | null |
Source/Qt5/modules/gui.py
|
TheEnvironmentGuy/noodle-pipe
|
175ee86618ff202c3291f1bfa3952a14b9d6ac75
|
[
"MIT"
] | 12
|
2015-01-31T02:37:45.000Z
|
2015-02-05T04:18:21.000Z
|
Source/Qt5/modules/gui.py
|
TheEnvironmentGuy/noodle-pipe
|
175ee86618ff202c3291f1bfa3952a14b9d6ac75
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
# -*- coding: utf-8 -*-
print("Note : Starting GUI...")
| 9.875
| 31
| 0.531646
| 10
| 79
| 4.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015625
| 0.189873
| 79
| 7
| 32
| 11.285714
| 0.640625
| 0.481013
| 0
| 0
| 0
| 0
| 0.564103
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
048bce354d0ac7a2a59727c66901a5a73574a843
| 123
|
py
|
Python
|
8/8-2.py
|
liuhanyu200/pygame
|
38a68e779e6b0a63edb1758fca98ebbf40bb0444
|
[
"BSD-3-Clause"
] | null | null | null |
8/8-2.py
|
liuhanyu200/pygame
|
38a68e779e6b0a63edb1758fca98ebbf40bb0444
|
[
"BSD-3-Clause"
] | null | null | null |
8/8-2.py
|
liuhanyu200/pygame
|
38a68e779e6b0a63edb1758fca98ebbf40bb0444
|
[
"BSD-3-Clause"
] | null | null | null |
# coding:utf-8
def favorite_book(book):
print("My favorite book is " + book + ".")
favorite_book("《python 从入门到实践》")
| 15.375
| 46
| 0.650407
| 17
| 123
| 4.588235
| 0.647059
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009901
| 0.178862
| 123
| 7
| 47
| 17.571429
| 0.762376
| 0.097561
| 0
| 0
| 0
| 0
| 0.330275
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
049e2809d0938ba10dec85f90a07dd7c4b081676
| 595
|
py
|
Python
|
dms/utils/exception.py
|
zhmsg/dms
|
3ac2b71c4a83ac721987c6f5a2f81bc0618ceca2
|
[
"MIT"
] | null | null | null |
dms/utils/exception.py
|
zhmsg/dms
|
3ac2b71c4a83ac721987c6f5a2f81bc0618ceca2
|
[
"MIT"
] | 12
|
2015-09-18T01:19:28.000Z
|
2021-12-13T19:51:10.000Z
|
dms/utils/exception.py
|
zhmsg/dms
|
3ac2b71c4a83ac721987c6f5a2f81bc0618ceca2
|
[
"MIT"
] | 1
|
2017-06-30T08:11:10.000Z
|
2017-06-30T08:11:10.000Z
|
#! /usr/bin/env python
# coding: utf-8
class ClientError(Exception):
def __init__(self):
pass
class BadRequest(ClientError):
def __init__(self, key, detail=None):
self.key = key
self.detail = detail
class ConflictRequest(ClientError):
def __init__(self, detail=None):
self.detail = detail
class ResourceNotFound(ClientError):
def __init__(self, resource_name, resource_value):
self.resource_name = resource_name
self.resource_value = resource_value
class Forbidden(ClientError):
def __init__(self):
pass
| 17
| 54
| 0.67395
| 67
| 595
| 5.597015
| 0.358209
| 0.093333
| 0.146667
| 0.234667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002193
| 0.233613
| 595
| 34
| 55
| 17.5
| 0.820175
| 0.058824
| 0
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.294118
| false
| 0.117647
| 0
| 0
| 0.588235
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
04bb02d7302c409cd5ad1248b417d45c23ec1834
| 44
|
py
|
Python
|
ladim/__init__.py
|
pnsaevik/ladim
|
967728b291631dd5a83cb0ee041770a0a9b08313
|
[
"MIT"
] | null | null | null |
ladim/__init__.py
|
pnsaevik/ladim
|
967728b291631dd5a83cb0ee041770a0a9b08313
|
[
"MIT"
] | null | null | null |
ladim/__init__.py
|
pnsaevik/ladim
|
967728b291631dd5a83cb0ee041770a0a9b08313
|
[
"MIT"
] | null | null | null |
from .main import main
__version__ = "1.2"
| 11
| 22
| 0.704545
| 7
| 44
| 3.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0.181818
| 44
| 3
| 23
| 14.666667
| 0.694444
| 0
| 0
| 0
| 0
| 0
| 0.068182
| 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
|
04f20b5b5bbdae8808f2039f792699a5ffa26392
| 299
|
py
|
Python
|
chemprop/data/__init__.py
|
wengong-jin/chemprop
|
3ad3577367d8a53f28aade0be41b56b1f25b6125
|
[
"MIT"
] | 77
|
2018-06-15T16:07:39.000Z
|
2022-03-06T01:01:59.000Z
|
chemprop/data/__init__.py
|
yangkevin2/chemprop
|
f3c8b6d25e5a17989881787be42c148816d8b8ed
|
[
"MIT"
] | 16
|
2018-11-07T03:19:34.000Z
|
2020-04-27T18:20:15.000Z
|
chemprop/data/__init__.py
|
wengong-jin/chemprop
|
3ad3577367d8a53f28aade0be41b56b1f25b6125
|
[
"MIT"
] | 22
|
2018-11-01T14:44:33.000Z
|
2022-03-06T01:00:45.000Z
|
from .data import MoleculeDatapoint, MoleculeDataset
from .scaffold import cluster_split
from .scaler import StandardScaler
from .similarity import morgan_similarity, scaffold_similarity
from .unsupervised_cluster import generate_unsupervised_cluster_labels
from .vocab import get_vocab, load_vocab
| 42.714286
| 70
| 0.879599
| 36
| 299
| 7.055556
| 0.5
| 0.149606
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090301
| 299
| 6
| 71
| 49.833333
| 0.933824
| 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
|
04fe3a85d9a5653eecfc9962196504eb32be5c0a
| 130
|
py
|
Python
|
boom.py
|
raphaelreme/bomberman
|
a6c03e31378dc31d0e5b207dbf2c1c14cf582f1d
|
[
"MIT"
] | null | null | null |
boom.py
|
raphaelreme/bomberman
|
a6c03e31378dc31d0e5b207dbf2c1c14cf582f1d
|
[
"MIT"
] | null | null | null |
boom.py
|
raphaelreme/bomberman
|
a6c03e31378dc31d0e5b207dbf2c1c14cf582f1d
|
[
"MIT"
] | null | null | null |
"""Entry point for pyinstaller"""
from bomberman import main
if __name__ == "__main__":
main.DEBUG = False
main.main()
| 14.444444
| 33
| 0.669231
| 16
| 130
| 4.9375
| 0.75
| 0.202532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.207692
| 130
| 8
| 34
| 16.25
| 0.76699
| 0.207692
| 0
| 0
| 0
| 0
| 0.082474
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b6d47f0203daa8bfd88b07af79c553e98a29af40
| 109
|
py
|
Python
|
tests/ci/paths.py
|
amastrucci/message_ix
|
154c58150755f1445ed48de028656daefccde995
|
[
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null |
tests/ci/paths.py
|
amastrucci/message_ix
|
154c58150755f1445ed48de028656daefccde995
|
[
"Apache-2.0",
"CC-BY-4.0"
] | 1
|
2019-06-13T20:51:20.000Z
|
2019-06-13T20:51:20.000Z
|
tests/ci/paths.py
|
amastrucci/message_ix
|
154c58150755f1445ed48de028656daefccde995
|
[
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null |
import os
here = os.path.dirname(os.path.realpath(__file__))
dbpath = os.path.join(here, 'db', 'scenarios')
| 21.8
| 50
| 0.715596
| 17
| 109
| 4.352941
| 0.647059
| 0.243243
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.100917
| 109
| 4
| 51
| 27.25
| 0.755102
| 0
| 0
| 0
| 0
| 0
| 0.100917
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b6d779a219f3b4f6157a11d40bc754af462dd902
| 9,546
|
py
|
Python
|
ilm.py
|
z0zz0/MSc_thesis
|
935d0b9aa6781970fad96a58a191134d38702b10
|
[
"MIT"
] | null | null | null |
ilm.py
|
z0zz0/MSc_thesis
|
935d0b9aa6781970fad96a58a191134d38702b10
|
[
"MIT"
] | null | null | null |
ilm.py
|
z0zz0/MSc_thesis
|
935d0b9aa6781970fad96a58a191134d38702b10
|
[
"MIT"
] | null | null | null |
import torch
from torch import nn
import torch.nn.functional as F
"""
Instance-level Meta Normalization
Instance Normalization
"""
import torch
from torch import nn
import torch.nn.functional as F
class ilm_IN(nn.Module):
def __init__(self, channels, key_group_size=5, reduction=5, eps=1e-5):
super(ilm_IN, self).__init__()
assert channels % key_group_size == 0
assert reduction > 0
self.num_groups = channels
self.feat_per_group = 1
self.key_groups = channels // key_group_size
self.key_feat_per_group = key_group_size
if self.key_groups > reduction:
self.embed_size = self.key_groups // reduction
else:
self.embed_size = 2
self.fc_embed = nn.Sequential(
nn.Linear(self.key_groups, self.embed_size, bias=False),
nn.ReLU(inplace=True)
)
self.fc_weight = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.key_groups, bias=False),
nn.Sigmoid()
)
self.fc_bias = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.key_groups, bias=False),
nn.Tanh()
)
self.weight_bias = nn.Parameter(torch.ones(1, channels, 1, 1, 1))
self.bias_bias = nn.Parameter(torch.zeros(1, channels, 1, 1, 1))
self.eps = eps
def forward(self, x):
b, c, d, h, w = x.size()
g = self.key_groups
x = x.view(b, g, 1, -1)
key_mean = x.mean(-1, keepdim=True)
key_var = x.var(-1, keepdim=True)
weight = self.fc_weight(key_var.view(b, g)).view(b, g, 1).repeat(1, 1, self.key_feat_per_group).view(b, c, 1, 1, 1)
weight = weight + self.weight_bias
bias = self.fc_bias(key_mean.view(b, g)).view(b, g, 1).repeat(1, 1, self.key_feat_per_group).view(b, c, 1, 1, 1)
bias = bias + self.bias_bias
g = self.num_groups
x = x.view(b, g, 1, -1)
mean = x.mean(-1, keepdim=True)
var = x.var(-1, keepdim=True)
x = (x - mean) / (var + self.eps).sqrt()
x = x.view(b, c, d, h, w)
return x * weight + bias
"""
Instance-level Meta Normalization
Group Normalization
"""
class ilm_GN(nn.Module):
def __init__(self, channels, num_groups=5, key_group_size=5, reduction=5, eps=1e-5):
super(ilm_GN, self).__init__()
assert num_groups % reduction == 0
assert channels % num_groups == 0
assert channels % key_group_size == 0
self.num_groups = num_groups
self.feat_per_group = channels // num_groups
self.key_groups = channels // key_group_size
self.key_feat_per_group = key_group_size
if self.key_groups >= reduction:
self.embed_size = self.key_groups // reduction
else:
self.embed_size = 2
self.fc_embed = nn.Sequential(
nn.Linear(self.key_groups, self.embed_size, bias=False),
nn.ReLU(inplace=True)
)
self.fc_weight = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.key_groups, bias=False),
nn.Sigmoid()
)
self.fc_bias = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.key_groups, bias=False),
nn.Tanh()
)
self.weight_bias = nn.Parameter(torch.ones(1, channels, 1, 1, 1))
self.bias_bias = nn.Parameter(torch.zeros(1, channels, 1, 1, 1))
self.eps = eps
def forward(self, x):
b, c, d, h, w = x.size()
g = self.key_groups
x = x.view(b, g, 1, -1)
key_mean = x.mean(-1, keepdim=True)
key_var = x.var(-1, keepdim=True)
weight = self.fc_weight(key_var.view(b, g)).view(b, g, 1).repeat(1, 1, self.key_feat_per_group).view(b, c, 1, 1, 1)
weight = weight + self.weight_bias
bias = self.fc_bias(key_mean.view(b, g)).view(b, g, 1).repeat(1, 1, self.key_feat_per_group).view(b, c, 1, 1, 1)
bias = bias + self.bias_bias
g = self.num_groups
x = x.view(b, g, 1, -1)
mean = x.mean(-1, keepdim=True)
var = x.var(-1, keepdim=True)
x = (x - mean) / (var + self.eps).sqrt()
x = x.view(b, c, d, h, w)
return x * weight + bias
"""
Instance-level Meta Normalization
Layer Normalization
"""
class ilm_LN(nn.Module):
def __init__(self, channels, key_group_size=5, reduction=5, eps=1e-5):
super(ilm_LN, self).__init__()
assert channels % key_group_size == 0
assert reduction > 0
self.eps = eps
self.num_groups = 1
self.feat_per_group = channels
self.key_groups = channels // key_group_size
self.key_feat_per_group = key_group_size
if self.key_groups > reduction:
self.embed_size = self.key_groups // reduction
else:
self.embed_size = 2
self.fc_embed = nn.Sequential(
nn.Linear(self.key_groups, self.embed_size, bias=False),
nn.ReLU(inplace=True)
)
self.fc_weight = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.key_groups, bias=False),
nn.Sigmoid()
)
self.fc_bias = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.key_groups, bias=False),
nn.Tanh()
)
self.weight_bias = nn.Parameter(torch.ones(1, channels, 1, 1, 1))
self.bias_bias = nn.Parameter(torch.zeros(1, channels, 1, 1, 1))
def forward(self, x):
b, c, d, h, w = x.size()
g = self.key_groups
x = x.view(b, g, 1, -1)
key_mean = x.mean(-1, keepdim=True)
key_var = x.var(-1, keepdim=True)
weight = self.fc_weight(key_var.view(b, g)).view(b, g, 1).repeat(1, 1, self.key_feat_per_group).view(b, c, 1, 1, 1)
weight = weight + self.weight_bias
bias = self.fc_bias(key_mean.view(b, g)).view(b, g, 1).repeat(1, 1, self.key_feat_per_group).view(b, c, 1, 1, 1)
bias = bias + self.bias_bias
g = self.num_groups
x = x.view(b, g, 1, -1)
mean = x.mean(-1, keepdim=True)
var = x.var(-1, keepdim=True)
x = (x - mean) / (var + self.eps).sqrt()
x = x.view(b, c, d, h, w)
return x * weight + bias
"""
Using the idea of acquiring attributions during the forward pass with an Auto-Encoder for normalization
such as is done with Instance-level meta normalization but batch-wise rather than instance-wise.
Forward Statistics Capture
Batch Normalization
"""
## forward_statistics_catcher_BN (short fsc)
class fsc_BN3d(nn.Module):
def __init__(self, channels, embed_size, eps=1e-5):
super(fsc_BN3d, self).__init__()
assert channels > 0
assert embed_size < channels
self.eps = eps
self.channels = channels
self.embed_size = embed_size
self.fc_embed = nn.Sequential(
nn.Linear(self.channels, self.embed_size, bias=False),
nn.ReLU(inplace=True)
)
self.fc_weight = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.channels, bias=False),
nn.Sigmoid()
)
self.fc_bias = nn.Sequential(
self.fc_embed,
nn.Linear(self.embed_size, self.channels, bias=False),
nn.Tanh()
)
## register_buffer send e.g. "running_mean" to the GPU device along with the module but doesn't add to the graph
self.register_buffer("running_mean", torch.zeros(channels))
self.register_buffer("running_var", torch.zeros(channels))
## nn.Parameter adds variables to the graph
self.weight_bias = nn.Parameter(torch.ones(1, channels, 1, 1, 1))
self.bias_bias = nn.Parameter(torch.zeros(1, channels, 1, 1, 1))
def forward(self, x):
b, c, d, h, w = x.size()
# standardization parameters
mean = x.view(b, c, -1).mean([-1, 0], keepdim=True).squeeze()
var = x.view(b, c, -1).var([-1, 0], keepdim=True).squeeze()
# transformation parameters
weight = self.fc_weight(mean)
weight = weight[None, :, None, None, None] + self.weight_bias
bias = self.fc_bias(var)
bias = bias[None, :, None, None, None] + self.bias_bias
# standardize
if self.training:
## X_hat_new = (1−momentum) × X_hat + momentum × x_t , where X_hat is the estimated statistic and x_t is the new observed value.
## See pytorch documentation on batch norm for how running mean and var are calculated using momentum.
self.running_mean = 0.9 * self.running_mean + 0.1 * mean ## momentum is 0.1 since that is what was used in batch norm on the BN model lacking statistics from forward pass
self.running_var = 0.9 * self.running_var + 0.1 * var ## momentum is 0.1 since that is what was used in batch norm on the BN model lacking statistics from forward pass
x = (x - mean[None, :, None, None, None]) / (var + self.eps).sqrt()[None, :, None, None, None]
else:
x = (x - self.running_mean[None, :, None, None, None]) / (self.running_var + self.eps).sqrt()[None, :, None, None, None]
# transform
return x * weight + bias
| 34.092857
| 182
| 0.57951
| 1,384
| 9,546
| 3.834538
| 0.106936
| 0.015074
| 0.051441
| 0.029395
| 0.751272
| 0.716601
| 0.701338
| 0.696062
| 0.678161
| 0.678161
| 0
| 0.021054
| 0.29845
| 9,546
| 280
| 183
| 34.092857
| 0.770942
| 0.0749
| 0
| 0.740741
| 0
| 0
| 0.002748
| 0
| 0
| 0
| 0
| 0
| 0.047619
| 1
| 0.042328
| false
| 0
| 0.031746
| 0
| 0.116402
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8e0d2f8b085376b4f256b60b01bb0c5550ce3317
| 35
|
py
|
Python
|
andaime/tasks/__init__.py
|
luiscape/andaime
|
0c99220b19eb19295bdde85d1777c4e420bc15f6
|
[
"MIT"
] | 1
|
2019-09-10T16:59:56.000Z
|
2019-09-10T16:59:56.000Z
|
andaime/tasks/__init__.py
|
luiscape/andaime
|
0c99220b19eb19295bdde85d1777c4e420bc15f6
|
[
"MIT"
] | 13
|
2016-12-27T19:26:00.000Z
|
2016-12-27T20:40:24.000Z
|
andaime/tasks/__init__.py
|
luiscape/andaime
|
0c99220b19eb19295bdde85d1777c4e420bc15f6
|
[
"MIT"
] | null | null | null |
'''
Tasks managed by `andaime`.
'''
| 11.666667
| 27
| 0.6
| 4
| 35
| 5.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 35
| 3
| 28
| 11.666667
| 0.7
| 0.771429
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8e1076ab87a3866766259fe5fe0133f0ee3b049f
| 197
|
py
|
Python
|
lib_rovpp/as_classes/v1/rovpp_v1_simple_as.py
|
jfuruness/lib_rovpp
|
67032c2dc296fa1804a8305d8cb671339b8e45e0
|
[
"BSD-3-Clause"
] | 1
|
2021-09-27T14:20:12.000Z
|
2021-09-27T14:20:12.000Z
|
lib_rovpp/as_classes/v1/rovpp_v1_simple_as.py
|
jfuruness/lib_rovpp
|
67032c2dc296fa1804a8305d8cb671339b8e45e0
|
[
"BSD-3-Clause"
] | null | null | null |
lib_rovpp/as_classes/v1/rovpp_v1_simple_as.py
|
jfuruness/lib_rovpp
|
67032c2dc296fa1804a8305d8cb671339b8e45e0
|
[
"BSD-3-Clause"
] | 1
|
2021-10-01T16:30:33.000Z
|
2021-10-01T16:30:33.000Z
|
from .rovpp_v1_lite_simple_as import ROVPPV1LiteSimpleAS
from ..non_lite import NonLite
class ROVPPV1SimpleAS(NonLite, ROVPPV1LiteSimpleAS):
name = "ROV++V1 Simple"
__slots__ = tuple()
| 19.7
| 56
| 0.771574
| 23
| 197
| 6.217391
| 0.695652
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02994
| 0.152284
| 197
| 9
| 57
| 21.888889
| 0.826347
| 0
| 0
| 0
| 0
| 0
| 0.071066
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 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
|
8e12f5ca2849d5cdf8750e2211baf9ad01c37e42
| 121
|
py
|
Python
|
server/Drawable.py
|
tpoerschke/multisnak
|
06a408e988353acdfe713e24490bef49a31e85d7
|
[
"MIT"
] | null | null | null |
server/Drawable.py
|
tpoerschke/multisnak
|
06a408e988353acdfe713e24490bef49a31e85d7
|
[
"MIT"
] | null | null | null |
server/Drawable.py
|
tpoerschke/multisnak
|
06a408e988353acdfe713e24490bef49a31e85d7
|
[
"MIT"
] | null | null | null |
class Drawable(object):
def __init__(self, coords, symbol):
self.coords = coords
self.symbol = symbol
| 30.25
| 39
| 0.644628
| 14
| 121
| 5.285714
| 0.571429
| 0.27027
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.256198
| 121
| 4
| 40
| 30.25
| 0.822222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8e13635e1f54edc9078fb8de9224b5a40fc4129c
| 133
|
py
|
Python
|
run.py
|
tcole98/solar_app
|
dffeea33fe5ac346990d6f610faddb36ae0411b7
|
[
"MIT"
] | null | null | null |
run.py
|
tcole98/solar_app
|
dffeea33fe5ac346990d6f610faddb36ae0411b7
|
[
"MIT"
] | null | null | null |
run.py
|
tcole98/solar_app
|
dffeea33fe5ac346990d6f610faddb36ae0411b7
|
[
"MIT"
] | null | null | null |
#!flask/bin/python
import os
os.environ["LOCATION"] = "LOCAL"
from server import app
app.run(debug=True, threaded=True, port=3000)
| 16.625
| 45
| 0.736842
| 21
| 133
| 4.666667
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033898
| 0.112782
| 133
| 8
| 45
| 16.625
| 0.79661
| 0.12782
| 0
| 0
| 0
| 0
| 0.112069
| 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
|
8e235505dea685c6bf596992a21ce0b10b99e58b
| 8,313
|
py
|
Python
|
iserv/task.py
|
CaptainSword123/iserv.py
|
efdd9bdae7454c2f23a36639dedd2e20106c8f39
|
[
"MIT"
] | 1
|
2021-11-16T12:40:53.000Z
|
2021-11-16T12:40:53.000Z
|
iserv/task.py
|
Leon-hk/iserv.py
|
efdd9bdae7454c2f23a36639dedd2e20106c8f39
|
[
"MIT"
] | null | null | null |
iserv/task.py
|
Leon-hk/iserv.py
|
efdd9bdae7454c2f23a36639dedd2e20106c8f39
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
MIT License
Copyright (c) 2021 CaptainSword123
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
class LiteTask:
"""Die Lite-Klasse der Klasse :class:`Task`. Sie enthält nur Grundlegende Informationen der Aufgabe, um die volle Aufgabe zu bekommen ``task()`` ausführen.
Attributes
-----------
title: :class:`str`
Der Aufgabentitel, der in der Vorschau steht.
id: :class:`int`
Die Aufgaben ID.
start: :class:`datetime.datetime`
Der Starttermin der Aufgabe.
end: :class:`datetime.datetime`
Der Abgabetermin der Aufgabe.
tags: List[:class:`str`]
Eine Liste mit den Tags der Aufgabe.
done: :class:`bool`
``True`` wenn die Aufgabe erledigt ist,
``False`` wenn sie noch nicht erledigt wurde.
feedback: :class:`bool`
``True`` wenn eine Rückmeldung erfolgt ist,
``False`` wenn keine Rückmeldung erfolgt ist.
"""
def __init__(self, title, id, start, end, tags, done, feedback, client=None):
self.title = title
self.id = id
self.start = start
self.end = end
self.tags = tags
self.done = done
self.feedback = feedback
self._client = client
def task(self):
return self._client.get_task(self.id)
class Task(LiteTask):
"""Eine IServ Aufgabe, diese kann vom Typ :class:`FileTask` oder :class:`TextTask` sein.
Attributes
-----------
title: :class:`str`
Der Aufgabentitel, der in der Vorschau steht.
description: :class:`str`
Die ausführliche Aufgabenbeschreibung.
teacher: :class:`LiteUser`
Der `LiteUser` des Lehrers, der die Aufgabe erstellt hat.
id: :class:`int`
Die Aufgaben ID.
start: :class:`datetime.datetime`
Der Starttermin der Aufgabe.
end: :class:`datetime.datetime`
Der Abgabetermin der Aufgabe.
tags: List[:class:`str`]
Eine Liste mit den Tags der Aufgabe.
done: :class:`str`/List[:class:`IServFile`]
``True`` wenn die Aufgabe erledigt ist,
``None`` wenn sie noch nicht erledigt wurde.
feedback: :class:`Feedback`
``Feedback`` wenn eine Rückmeldung gegeben wurde,
``None`` wenn keine Rückmeldung gegeben wurde.
attachments: List[:class:`IServFile`]
Eine Liste der sich im Anhang befindlichen Dateien in Form von `IServFile`s.
"""
def __init__(self, title, description, teacher, id, start, end, tags, done, feedback, attachments):
self.description = description
self.teacher = teacher
self.attachments = attachments
super().__init__(title, id, start, end, tags, done, feedback)
class TextTask(Task):
"""Eine :class:`Task`, bei der die Abgabe in Form eines Textes erfolgt
Attributes
-----------
title: :class:`str`
Der Aufgabentitel, der in der Vorschau steht.
description: :class:`str`
Die ausführliche Aufgabenbeschreibung.
teacher: :class:`User`
Der `User` des Lehrers, der die Aufgabe erstellt hat.
id: :class:`int`
Die Aufgaben ID.
start: :class:`datetime.datetime`
Der Starttermin der Aufgabe.
.. warning::
Der Starttermin wird nur als Datum angegeben, die Uhrzeit ist nicht gegeben. Dazu bitte die vollwertige :class:`Task` mit `.task()` aufrufen.
end: :class:`datetime.datetime`
Der Abgabetermin der Aufgabe.
tags: List[:class:`str`]
Eine Liste mit den Tags der Aufgabe.
done: :class:`str`
``str`` mit dem abgegebenen Text, wenn die Aufgabe erledigt ist,
``None`` wenn sie noch nicht erledigt wurde.
feedback: :class:`Feedback`
``Feedback`` wenn eine Rückmeldung gegeben wurde,
``None`` wenn keine Rückmeldung gegeben wurde.
attachments: List[:class:`IServFile`]
Eine Liste der sich im Anhang befindlichen Dateien in Form von `IServFile`s.
"""
def __init__(self, title, description, teacher, id, start, end, tags, done, feedback, attachments):
super().__init__(title, description, teacher, id, start, end, tags, done, feedback, attachments)
def __repr__(self):
return '<iserv.TextTask title="%s" id=%s>' % (self.title, self.id)
def __str__(self):
return '<iserv.TextTask title="%s" id=%s>' % (self.title, self.id)
class FileTask(Task):
"""Eine :class:`Task`, bei der die Abgabe in Form eines Textes erfolgt
Attributes
-----------
title: :class:`str`
Der Aufgabentitel, der in der Vorschau steht.
description: :class:`str`
Die ausführliche Aufgabenbeschreibung.
teacher: :class:`User`
Der `User` des Lehrers, der die Aufgabe erstellt hat.
id: :class:`int`
Die Aufgaben ID.
start: :class:`datetime.datetime`
Der Starttermin der Aufgabe.
end: :class:`datetime.datetime`
Der Abgabetermin der Aufgabe.
tags: List[:class:`str`]
Eine Liste mit den Tags der Aufgabe.
done: List[:class:`IServFile`]
List[:class:`IServFile`] mit den abgegebenen Dateien, wenn die Aufgabe erledigt ist,
``None`` wenn sie noch nicht erledigt wurde.
feedback: :class:`Feedback`
``Feedback`` wenn eine Rückmeldung gegeben wurde,
``None`` wenn keine Rückmeldung gegeben wurde.
attachments: List[:class:`IServFile`]
Eine Liste der sich im Anhang befindlichen Dateien in Form von `IServFile`s.
"""
def __init__(self, title, description, teacher, id, start, end, tags, done, feedback, attachments):
super().__init__(title, description, teacher, id, start, end, tags, done, feedback, attachments)
def __repr__(self):
return '<iserv.FileTask title="%s" id=%s>' % (self.title, self.id)
def __str__(self):
return '<iserv.FileTask title="%s" id=%s>' % (self.title, self.id)
class BoolTask(Task):
"""Eine :class:`Task`, bei der die Abgabe in Form von Ja/Nein erfolgt
Attributes
-----------
title: :class:`str`
Der Aufgabentitel, der in der Vorschau steht.
description: :class:`str`
Die ausführliche Aufgabenbeschreibung.
teacher: :class:`User`
Der `User` des Lehrers, der die Aufgabe erstellt hat.
id: :class:`int`
Die Aufgaben ID.
start: :class:`datetime.datetime`
Der Starttermin der Aufgabe.
end: :class:`datetime.datetime`
Der Abgabetermin der Aufgabe.
tags: List[:class:`str`]
Eine Liste mit den Tags der Aufgabe.
done: :class:`bool`
``True`` wenn die Aufgabe mit "Ja" bestätigt wurde,
``False`` wenn sie noch nicht bestätigt wurde.
feedback: :class:`Feedback`
``Feedback`` wenn eine Rückmeldung gegeben wurde,
``None`` wenn keine Rückmeldung gegeben wurde.
attachments: List[:class:`IServFile`]
Eine Liste der sich im Anhang befindlichen Dateien in Form von `IServFile`s.
"""
def __init__(self, title, description, teacher, id, start, end, tags, done, feedback, attachments):
super().__init__(title, description, teacher, id, start, end, tags, done, feedback, attachments)
def __repr__(self):
return '<iserv.BoolTask title="%s" id=%s>' % (self.title, self.id)
def __str__(self):
return '<iserv.BoolTask title="%s" id=%s>' % (self.title, self.id)
| 38.665116
| 159
| 0.659569
| 1,047
| 8,313
| 5.176695
| 0.200573
| 0.02952
| 0.038745
| 0.04428
| 0.684317
| 0.67952
| 0.676753
| 0.665314
| 0.657565
| 0.65572
| 0
| 0.001251
| 0.230843
| 8,313
| 214
| 160
| 38.845794
| 0.846419
| 0.695297
| 0
| 0.487179
| 0
| 0
| 0.098458
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0
| 0
| 0.179487
| 0.615385
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
|
8e3acd4883c25e5f1795ae716781a1e4a330ec22
| 113
|
py
|
Python
|
fetcher/__main__.py
|
mgithub46/covid19-datafetcher
|
bd081f1b99f77a421205e5190f42d5f2ac3b6627
|
[
"Apache-2.0"
] | 31
|
2020-06-17T11:16:47.000Z
|
2022-01-11T17:24:52.000Z
|
fetcher/__main__.py
|
mgithub46/covid19-datafetcher
|
bd081f1b99f77a421205e5190f42d5f2ac3b6627
|
[
"Apache-2.0"
] | 24
|
2020-06-18T20:09:40.000Z
|
2021-03-30T18:34:33.000Z
|
fetcher/__main__.py
|
mgithub46/covid19-datafetcher
|
bd081f1b99f77a421205e5190f42d5f2ac3b6627
|
[
"Apache-2.0"
] | 15
|
2020-06-25T20:30:22.000Z
|
2021-09-20T04:31:10.000Z
|
import sys
from .lib import main
if __name__ == "__main__":
print("Version: ", sys.version_info)
main()
| 16.142857
| 40
| 0.663717
| 15
| 113
| 4.4
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.20354
| 113
| 6
| 41
| 18.833333
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0.150442
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
8e49a66c79966c7c80d8cc1ceaade2bb3091b5d7
| 546
|
py
|
Python
|
controle_colaboradores_api/apps/localidades_brasileiras/tests/test_models.py
|
helderlgoliveira/controle-colaboradores-api
|
def3f77ef547e87b6f827cb711fd0f7d1099d987
|
[
"BSD-3-Clause"
] | 1
|
2021-10-17T04:28:31.000Z
|
2021-10-17T04:28:31.000Z
|
controle_colaboradores_api/apps/localidades_brasileiras/tests/test_models.py
|
helderlgoliveira/controle-colaboradores-api
|
def3f77ef547e87b6f827cb711fd0f7d1099d987
|
[
"BSD-3-Clause"
] | null | null | null |
controle_colaboradores_api/apps/localidades_brasileiras/tests/test_models.py
|
helderlgoliveira/controle-colaboradores-api
|
def3f77ef547e87b6f827cb711fd0f7d1099d987
|
[
"BSD-3-Clause"
] | null | null | null |
import pytest
from model_bakery import baker
@pytest.fixture
def unidade_federativa(db):
return baker.make('UnidadeFederativa',
nome="Unidade Federativa X")
@pytest.fixture
def municipio(db):
return baker.make('Municipio',
nome="Município X")
class TestUnidadeFederativa:
def test_str(self, unidade_federativa):
assert str(unidade_federativa) == "Unidade Federativa X"
class TestMunicipio:
def test_str(self, municipio):
assert str(municipio) == "Município X"
| 20.222222
| 64
| 0.673993
| 60
| 546
| 6.033333
| 0.416667
| 0.234807
| 0.088398
| 0.093923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.234432
| 546
| 26
| 65
| 21
| 0.866029
| 0
| 0
| 0.125
| 0
| 0
| 0.161172
| 0
| 0
| 0
| 0
| 0
| 0.125
| 1
| 0.25
| false
| 0
| 0.125
| 0.125
| 0.625
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
f3dda8688054d51fb9383d11e419f6f68a2aad88
| 363
|
py
|
Python
|
resources/resource_names.py
|
githubfromgui/load-balancer-pretty-logs
|
a65d22d076f2384e7b833b1257fcd2d8f436b2e6
|
[
"MIT"
] | null | null | null |
resources/resource_names.py
|
githubfromgui/load-balancer-pretty-logs
|
a65d22d076f2384e7b833b1257fcd2d8f436b2e6
|
[
"MIT"
] | null | null | null |
resources/resource_names.py
|
githubfromgui/load-balancer-pretty-logs
|
a65d22d076f2384e7b833b1257fcd2d8f436b2e6
|
[
"MIT"
] | null | null | null |
class ResourceNames():
def __init__(self, log_group_name: str, log_stream_name: str):
self.log_group_name = log_group_name
self.log_stream_name = log_stream_name
def get_log_group_name(self) -> str:
return self.log_group_name
def get_log_stream_name(self) -> str:
return self.log_stream_name
| 27.923077
| 65
| 0.661157
| 51
| 363
| 4.196078
| 0.235294
| 0.163551
| 0.280374
| 0.224299
| 0.224299
| 0.224299
| 0
| 0
| 0
| 0
| 0
| 0
| 0.267218
| 363
| 12
| 66
| 30.25
| 0.804511
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0
| 0.25
| 0.75
| 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
|
6d035045314210118b8777cdb7f9bfbf68810097
| 144
|
py
|
Python
|
cartola_draft/exceptions.py
|
matheusccouto/cartola-squad-selector
|
2aaac35be4c44031e26a94419aa797858bcf0348
|
[
"MIT"
] | null | null | null |
cartola_draft/exceptions.py
|
matheusccouto/cartola-squad-selector
|
2aaac35be4c44031e26a94419aa797858bcf0348
|
[
"MIT"
] | null | null | null |
cartola_draft/exceptions.py
|
matheusccouto/cartola-squad-selector
|
2aaac35be4c44031e26a94419aa797858bcf0348
|
[
"MIT"
] | null | null | null |
"""Custom execeptions for Cartola FC Draft."""
class SchemeError(Exception):
"""Indicates that the Line-up does not follow the scheme."""
| 24
| 64
| 0.715278
| 19
| 144
| 5.421053
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159722
| 144
| 5
| 65
| 28.8
| 0.85124
| 0.659722
| 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
|
6d15aa91093034f3731d7be3d713b7f2a0203c20
| 153
|
py
|
Python
|
jsane/__init__.py
|
Mumbleskates/jsane
|
f63c01ab50899e207dae8427e4faef0e9d35e41e
|
[
"MIT"
] | 131
|
2016-01-29T10:39:07.000Z
|
2021-07-21T04:27:50.000Z
|
jsane/__init__.py
|
Mumbleskates/jsane
|
f63c01ab50899e207dae8427e4faef0e9d35e41e
|
[
"MIT"
] | 8
|
2016-10-20T19:39:48.000Z
|
2018-12-04T18:13:22.000Z
|
jsane/__init__.py
|
Mumbleskates/jsane
|
f63c01ab50899e207dae8427e4faef0e9d35e41e
|
[
"MIT"
] | 8
|
2016-02-27T13:28:44.000Z
|
2020-01-01T11:35:57.000Z
|
# flake8: noqa
from .traversable import JSaneException
from .wrapper import load, loads, dump, dumps, from_dict, from_object, new
__version__ = '0.1.2'
| 25.5
| 74
| 0.764706
| 22
| 153
| 5.045455
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030303
| 0.137255
| 153
| 5
| 75
| 30.6
| 0.810606
| 0.078431
| 0
| 0
| 0
| 0
| 0.035971
| 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
|
6d268651bd05263ed34104054a7ba23505bdd132
| 1,392
|
py
|
Python
|
config/settings/development.py
|
Rigo-Villalta/django-alpha-bootstrap
|
17a51518e834a02eeeb8fe24f23706b74da90db7
|
[
"BSD-3-Clause"
] | null | null | null |
config/settings/development.py
|
Rigo-Villalta/django-alpha-bootstrap
|
17a51518e834a02eeeb8fe24f23706b74da90db7
|
[
"BSD-3-Clause"
] | null | null | null |
config/settings/development.py
|
Rigo-Villalta/django-alpha-bootstrap
|
17a51518e834a02eeeb8fe24f23706b74da90db7
|
[
"BSD-3-Clause"
] | null | null | null |
from .base import *
INSTALLED_APPS += ["debug_toolbar"]
MIDDLEWARE.insert(0, "debug_toolbar.middleware.DebugToolbarMiddleware")
DEBUG = True
ALLOWED_HOSTS = os.environ.get('SERVERNAMES').split(' ')
EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"
INTERNAL_IPS = [
"127.0.0.1",
]
DATABASES = {
"default": {
"ENGINE": "django.db.backends.postgresql",
"NAME": os.environ["DB_NAME"],
"USER": os.environ["DB_USER"],
"PASSWORD": os.environ["DB_USER_PASSWORD"],
"HOST": os.environ["DB_HOST"], # DB_HOST=127.0.0.1 if localhost
"PORT": os.environ["DB_PORT"] # DB_PORT=5432 default postgresql
}
}
DEBUG_TOOLBAR_PANELS = [
"debug_toolbar.panels.history.HistoryPanel",
"debug_toolbar.panels.versions.VersionsPanel",
"debug_toolbar.panels.timer.TimerPanel",
"debug_toolbar.panels.settings.SettingsPanel",
"debug_toolbar.panels.headers.HeadersPanel",
"debug_toolbar.panels.request.RequestPanel",
"debug_toolbar.panels.sql.SQLPanel",
"debug_toolbar.panels.staticfiles.StaticFilesPanel",
"debug_toolbar.panels.templates.TemplatesPanel",
"debug_toolbar.panels.cache.CachePanel",
"debug_toolbar.panels.signals.SignalsPanel",
"debug_toolbar.panels.logging.LoggingPanel",
"debug_toolbar.panels.redirects.RedirectsPanel",
"debug_toolbar.panels.profiling.ProfilingPanel",
]
| 32.372093
| 72
| 0.716954
| 156
| 1,392
| 6.205128
| 0.467949
| 0.210744
| 0.278926
| 0.012397
| 0.047521
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014178
| 0.138649
| 1,392
| 43
| 73
| 32.372093
| 0.793161
| 0.04454
| 0
| 0
| 0
| 0
| 0.616717
| 0.53012
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.028571
| 0.028571
| 0
| 0.028571
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6d3cb8c1e65b841d44cf4878c8fa8f293cf4a5d5
| 48
|
py
|
Python
|
mytest.py
|
TaylorWillber/pedestrainYolu3Okbak
|
06df113f0c7b1207047d6c4ee28225e533c867aa
|
[
"MIT"
] | 6
|
2020-08-31T06:59:08.000Z
|
2022-03-28T03:06:21.000Z
|
mytest.py
|
TaylorWillber/pedestrainYolu3Okbak
|
06df113f0c7b1207047d6c4ee28225e533c867aa
|
[
"MIT"
] | 2
|
2022-01-25T06:41:42.000Z
|
2022-03-03T08:38:31.000Z
|
mytest.py
|
TaylorWillber/pedestrainYolu3Okbak
|
06df113f0c7b1207047d6c4ee28225e533c867aa
|
[
"MIT"
] | 1
|
2021-05-07T08:22:36.000Z
|
2021-05-07T08:22:36.000Z
|
a = b'hhh'
print(a)
b = bytes.decode(a)
print(b)
| 12
| 19
| 0.625
| 11
| 48
| 2.727273
| 0.545455
| 0.133333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145833
| 48
| 4
| 20
| 12
| 0.731707
| 0
| 0
| 0
| 0
| 0
| 0.061224
| 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
|
ed95209d3d719bb6caf653808fd38e2068023a18
| 131
|
py
|
Python
|
Examples/AppKit/CocoaBindings/ToDos/ToDos.py
|
linuxfood/pyobjc-framework-Cocoa-test
|
3475890f165ab26a740f13d5afe4c62b4423a140
|
[
"MIT"
] | null | null | null |
Examples/AppKit/CocoaBindings/ToDos/ToDos.py
|
linuxfood/pyobjc-framework-Cocoa-test
|
3475890f165ab26a740f13d5afe4c62b4423a140
|
[
"MIT"
] | null | null | null |
Examples/AppKit/CocoaBindings/ToDos/ToDos.py
|
linuxfood/pyobjc-framework-Cocoa-test
|
3475890f165ab26a740f13d5afe4c62b4423a140
|
[
"MIT"
] | null | null | null |
import ToDosDocument # noqa: F401
if __name__ == "__main__":
from PyObjCTools import AppHelper
AppHelper.runEventLoop()
| 18.714286
| 37
| 0.732824
| 13
| 131
| 6.769231
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.028302
| 0.19084
| 131
| 6
| 38
| 21.833333
| 0.801887
| 0.076336
| 0
| 0
| 0
| 0
| 0.067227
| 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
|
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