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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c3f7de2c5cf9f818c4f945ecaee77a66aa71555d
| 202
|
py
|
Python
|
wotpy/wot/consumed/__init__.py
|
JKRhb/wot-py
|
3eaa780189b686c82b7dbdea404fd8077bd3c9f9
|
[
"MIT"
] | 24
|
2019-02-15T09:00:27.000Z
|
2021-12-23T05:45:03.000Z
|
wotpy/wot/consumed/__init__.py
|
JKRhb/wot-py
|
3eaa780189b686c82b7dbdea404fd8077bd3c9f9
|
[
"MIT"
] | 20
|
2020-03-17T09:41:51.000Z
|
2021-07-14T12:29:02.000Z
|
wotpy/wot/consumed/__init__.py
|
JKRhb/wot-py
|
3eaa780189b686c82b7dbdea404fd8077bd3c9f9
|
[
"MIT"
] | 5
|
2019-10-10T13:38:20.000Z
|
2021-12-22T14:22:26.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
ConsumedThing and related entities.
.. autosummary::
:toctree: _consumed
wotpy.wot.consumed.interaction_map
wotpy.wot.consumed.thing
"""
| 15.538462
| 38
| 0.668317
| 23
| 202
| 5.782609
| 0.826087
| 0.120301
| 0.240602
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005952
| 0.168317
| 202
| 12
| 39
| 16.833333
| 0.785714
| 0.935644
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
c3fd29de7c6223e3b08abc03cc59e06aacacb15c
| 112
|
py
|
Python
|
wsgi.py
|
wj1796/back
|
0e486fa8a7b27c633600c49643f798ec215d3c7a
|
[
"MIT"
] | 12
|
2019-10-16T00:40:27.000Z
|
2022-01-30T15:03:10.000Z
|
wsgi.py
|
wj1796/back
|
0e486fa8a7b27c633600c49643f798ec215d3c7a
|
[
"MIT"
] | null | null | null |
wsgi.py
|
wj1796/back
|
0e486fa8a7b27c633600c49643f798ec215d3c7a
|
[
"MIT"
] | 7
|
2019-10-16T09:23:07.000Z
|
2021-06-30T10:58:42.000Z
|
from app import create_app
application = create_app('production')
# To Be used by a WSGI Server like Gunicorn
| 18.666667
| 43
| 0.776786
| 18
| 112
| 4.722222
| 0.833333
| 0.211765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169643
| 112
| 5
| 44
| 22.4
| 0.913978
| 0.366071
| 0
| 0
| 0
| 0
| 0.144928
| 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
|
7f02271afe77457250bbcd96fbbbcb36e670e610
| 337
|
py
|
Python
|
cmdapp.py
|
AmyBeisel/SRAM_ASSESSMENT
|
eabb73d5f24476e8628723f00d92529d853309cd
|
[
"MIT"
] | null | null | null |
cmdapp.py
|
AmyBeisel/SRAM_ASSESSMENT
|
eabb73d5f24476e8628723f00d92529d853309cd
|
[
"MIT"
] | null | null | null |
cmdapp.py
|
AmyBeisel/SRAM_ASSESSMENT
|
eabb73d5f24476e8628723f00d92529d853309cd
|
[
"MIT"
] | null | null | null |
import requests
r = requests.get("http://localhost:8000/Bike/")
r1 = requests.get("http://localhost:8000/RearWheel/")
r2 = requests.get("http://localhost:8000/FrontWheel/")
r = requests.post("http://localhost:8000/FrontWheel/", json={'bike': {'brand': 'Enve', 'size': '29', 'weight':1}
print(r.json())
print(r1.json())
print(r2.json())
| 33.7
| 112
| 0.676558
| 47
| 337
| 4.851064
| 0.446809
| 0.22807
| 0.298246
| 0.315789
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073482
| 0.071217
| 337
| 10
| 113
| 33.7
| 0.654952
| 0
| 0
| 0
| 0
| 0
| 0.443787
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.125
| null | null | 0.375
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7f0c40a9780b0da510e32fb6d3b38b804fd42340
| 75
|
py
|
Python
|
backend/similar_ticks.py
|
wuxianliang/StockBrain
|
371188035b898760446a0e6c957dd05e7abdf60a
|
[
"MIT"
] | 2
|
2019-03-15T02:23:34.000Z
|
2020-06-26T11:18:37.000Z
|
backend/similar_ticks.py
|
wuxianliang/StockBrain
|
371188035b898760446a0e6c957dd05e7abdf60a
|
[
"MIT"
] | null | null | null |
backend/similar_ticks.py
|
wuxianliang/StockBrain
|
371188035b898760446a0e6c957dd05e7abdf60a
|
[
"MIT"
] | null | null | null |
import tushare as ts
from flask import jsonify
#def get_t(ticks, params):
| 15
| 26
| 0.773333
| 13
| 75
| 4.384615
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 75
| 4
| 27
| 18.75
| 0.904762
| 0.333333
| 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
|
6161d6720e3ce2df7b2e1b4535e221b16ce9e3d8
| 200
|
py
|
Python
|
Module6/pefile_example.py
|
ioef/SPSE
|
37eaeb0fd7c5cf564c3b60590f6bfe4de928b920
|
[
"MIT"
] | 16
|
2017-03-23T16:27:20.000Z
|
2022-03-31T07:04:40.000Z
|
Module6/pefile_example.py
|
indiancyberhunter/SPSE
|
37eaeb0fd7c5cf564c3b60590f6bfe4de928b920
|
[
"MIT"
] | null | null | null |
Module6/pefile_example.py
|
indiancyberhunter/SPSE
|
37eaeb0fd7c5cf564c3b60590f6bfe4de928b920
|
[
"MIT"
] | 8
|
2016-10-11T13:18:08.000Z
|
2022-02-12T19:38:57.000Z
|
#!/usr/bin/env python
import pefile
import sys
import pprint
pe = pefile.PE('Server-Strcpy.exe')
for section in pe.sections:
print section.Name
print section.SizeOfRawData
print '\n'
| 13.333333
| 35
| 0.71
| 29
| 200
| 4.896552
| 0.689655
| 0.169014
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.19
| 200
| 14
| 36
| 14.285714
| 0.876543
| 0.1
| 0
| 0
| 0
| 0
| 0.106145
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.375
| null | null | 0.5
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 4
|
618bb567ade1d2a72ad1334d3e365ca94890ae41
| 176
|
py
|
Python
|
run.py
|
ksk6348/bot
|
72376b07b5b5f61a947e2b63b81866eaccb2ce21
|
[
"MIT"
] | null | null | null |
run.py
|
ksk6348/bot
|
72376b07b5b5f61a947e2b63b81866eaccb2ce21
|
[
"MIT"
] | 6
|
2020-01-28T22:31:17.000Z
|
2022-02-10T00:11:19.000Z
|
run.py
|
ksk6348/karenbot
|
72376b07b5b5f61a947e2b63b81866eaccb2ce21
|
[
"MIT"
] | null | null | null |
from app import app
import warnings
import views
if __name__ == '__main__':
warnings.filterwarnings('ignore')
app.debug = True
app.run(host='0.0.0.0', port=5000)
| 17.6
| 38
| 0.6875
| 26
| 176
| 4.346154
| 0.653846
| 0.053097
| 0.053097
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0.181818
| 176
| 9
| 39
| 19.555556
| 0.729167
| 0
| 0
| 0
| 0
| 0
| 0.119318
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.428571
| 0
| 0.428571
| 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
|
6190d3d537a081192133fcf708f8b521cb47a5ac
| 517
|
py
|
Python
|
pynumdiff/__init__.py
|
fossabot/PyNumDiff
|
dccad2ad7a875f2ecccb0db2bb6e2afa392916d1
|
[
"MIT"
] | null | null | null |
pynumdiff/__init__.py
|
fossabot/PyNumDiff
|
dccad2ad7a875f2ecccb0db2bb6e2afa392916d1
|
[
"MIT"
] | null | null | null |
pynumdiff/__init__.py
|
fossabot/PyNumDiff
|
dccad2ad7a875f2ecccb0db2bb6e2afa392916d1
|
[
"MIT"
] | null | null | null |
from pynumdiff.__version__ import __version__ as __version__
import pynumdiff.finite_difference as finite_difference
import pynumdiff.smooth_finite_difference as smooth_finite_difference
import pynumdiff.total_variation_regularization as total_variation_regularization
import pynumdiff.linear_model as linear_model
import pynumdiff.kalman_smooth as kalman_smooth
import pynumdiff.nnet as nnet
import pynumdiff.augmented_data as augmented_data
import pynumdiff.utils as utils
import pynumdiff.optimize as optimize
| 36.928571
| 81
| 0.891683
| 68
| 517
| 6.367647
| 0.279412
| 0.311778
| 0.083141
| 0.143187
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088975
| 517
| 13
| 82
| 39.769231
| 0.919321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
619d74634d1d850f5fd1fcadb34526e684ac7cd0
| 927
|
py
|
Python
|
urban_AD_env/__init__.py
|
munirjojoverge/rl_AD_urban_baselines
|
c17cb97fb6a1edd3134b340194e82f4c3ca4f065
|
[
"MIT"
] | 6
|
2019-02-05T08:17:29.000Z
|
2022-03-22T12:47:53.000Z
|
urban_AD_env/__init__.py
|
munirjojoverge/rl_AD_urban_baselines
|
c17cb97fb6a1edd3134b340194e82f4c3ca4f065
|
[
"MIT"
] | null | null | null |
urban_AD_env/__init__.py
|
munirjojoverge/rl_AD_urban_baselines
|
c17cb97fb6a1edd3134b340194e82f4c3ca4f065
|
[
"MIT"
] | 1
|
2019-09-08T14:15:56.000Z
|
2019-09-08T14:15:56.000Z
|
from gym.envs.registration import register
register(
id='urban_AD-multilane-v1',
entry_point='urban_AD_env.envs:MultiLaneEnv',
)
register(
id='urban_AD-merge-v1',
entry_point='urban_AD_env.envs:MergeEnv',
)
register(
id='urban_AD-roundabout-v1',
entry_point='urban_AD_env.envs:RoundaboutEnv',
)
register(
id='urban_AD-continuous-v1',
entry_point='urban_AD_env.envs:ContinuousEnv',
tags={'wrapper_config.TimeLimit.max_episode_steps': 20}
)
register(
id='continuous-multi-env-v1',
entry_point='urban_AD_env.envs:ContinuousMultiEnv',
tags={'wrapper_config.TimeLimit.max_episode_steps': 20}
)
register(
id='parking-v1',
entry_point='urban_AD_env.envs:ParkingEnv',
tags={'wrapper_config.TimeLimit.max_episode_steps': 20}
)
register(
id='sidepass-v0',
entry_point='urban_AD_env.envs:SidepassEnv',
tags={'wrapper_config.TimeLimit.max_episode_steps': 30}
)
| 23.175
| 59
| 0.731392
| 125
| 927
| 5.128
| 0.296
| 0.120125
| 0.163807
| 0.185647
| 0.592824
| 0.592824
| 0.555382
| 0.24805
| 0.24805
| 0.24805
| 0
| 0.018541
| 0.127292
| 927
| 40
| 60
| 23.175
| 0.773795
| 0
| 0
| 0.30303
| 0
| 0
| 0.544181
| 0.503233
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.060606
| 0.030303
| 0
| 0.030303
| 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
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
61b1ae67a3a67f6b1d849169afbb5c870cf364ee
| 258
|
py
|
Python
|
niddk_covid_sicr/__init__.py
|
cannin/covid-sicr-test
|
f842946357428730265b7d0a6640172dc757ecae
|
[
"MIT"
] | null | null | null |
niddk_covid_sicr/__init__.py
|
cannin/covid-sicr-test
|
f842946357428730265b7d0a6640172dc757ecae
|
[
"MIT"
] | null | null | null |
niddk_covid_sicr/__init__.py
|
cannin/covid-sicr-test
|
f842946357428730265b7d0a6640172dc757ecae
|
[
"MIT"
] | null | null | null |
"""The NIDDK SICR model for estimating the fraction infected with SARS-CoV-2"""
import numexpr
numexpr.set_num_threads(numexpr.detect_number_of_cores())
from .io import *
from .stats import *
from .analysis import *
from .data import *
from .prep import *
| 23.454545
| 79
| 0.767442
| 39
| 258
| 4.948718
| 0.692308
| 0.207254
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004505
| 0.139535
| 258
| 10
| 80
| 25.8
| 0.864865
| 0.282946
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.857143
| 0
| 0.857143
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
61b2a239da7114746f0684e068c61c08da10b022
| 283
|
py
|
Python
|
src/rectangle.py
|
xhajnal/DiPS
|
2e5d6e0a26d2b1cd44522dc521992e6d7cfe6883
|
[
"BSD-3-Clause"
] | 4
|
2020-04-25T22:29:43.000Z
|
2022-01-14T07:52:55.000Z
|
src/rectangle.py
|
xhajnal/DiPS
|
2e5d6e0a26d2b1cd44522dc521992e6d7cfe6883
|
[
"BSD-3-Clause"
] | 64
|
2020-01-06T18:38:56.000Z
|
2022-02-27T18:38:45.000Z
|
src/rectangle.py
|
xhajnal/DiPS
|
2e5d6e0a26d2b1cd44522dc521992e6d7cfe6883
|
[
"BSD-3-Clause"
] | 3
|
2020-02-13T16:46:54.000Z
|
2021-11-26T11:47:56.000Z
|
class My_Rectangle:
def __init__(self, region, is_white=False, model=(None, None)):
self.region = region
self.is_white = is_white
self.model = model
def is_white(self):
return self.is_white
def get_model(self):
return self.model
| 23.583333
| 67
| 0.628975
| 39
| 283
| 4.282051
| 0.358974
| 0.209581
| 0.131737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.279152
| 283
| 11
| 68
| 25.727273
| 0.818627
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.222222
| 0.666667
| 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
|
61bbc76b4f166e6a96a5348a61a8bb164c07cd0a
| 1,422
|
py
|
Python
|
generator/generator_builder.py
|
wangermeng2021/SnapMix-tensorflow2
|
61a46de49cd3586e387d990e6f617455da78d35d
|
[
"Apache-2.0"
] | 9
|
2021-01-13T00:02:31.000Z
|
2021-04-25T10:21:21.000Z
|
generator/generator_builder.py
|
wangermeng2021/SnapMix-tensorflow2
|
61a46de49cd3586e387d990e6f617455da78d35d
|
[
"Apache-2.0"
] | 2
|
2021-02-01T14:34:20.000Z
|
2021-09-02T19:33:06.000Z
|
generator/generator_builder.py
|
wangermeng2021/SnapMix-tensorflow2
|
61a46de49cd3586e387d990e6f617455da78d35d
|
[
"Apache-2.0"
] | 1
|
2021-02-08T09:52:50.000Z
|
2021-02-08T09:52:50.000Z
|
from generator.cars_generator import CarsGenerator
from generator.cub_generator import CubGenerator
from generator.custom_generator import CustomGenerator
def get_generator(args):
if args.dataset == 'cars':
train_generator = CarsGenerator(root_dir=args.dataset_dir, mode="train",
batch_size=args.batch_size, augment=args.augment)
val_generator = CarsGenerator(root_dir=args.dataset_dir, mode="valid",
batch_size=args.batch_size, augment=args.augment)
return train_generator,val_generator
if args.dataset == 'cub':
train_generator = CubGenerator(root_dir=args.dataset_dir, mode="train",
batch_size=args.batch_size, augment=args.augment)
val_generator = CubGenerator(root_dir=args.dataset_dir, mode="valid",
batch_size=args.batch_size, augment=args.augment)
return train_generator, val_generator
if args.dataset == 'custom':
train_generator = CustomGenerator(root_dir=args.dataset_dir, mode="train",
batch_size=args.batch_size, augment=args.augment)
val_generator = CustomGenerator(root_dir=args.dataset_dir, mode="valid",
batch_size=args.batch_size, augment=args.augment)
return train_generator, val_generator
| 59.25
| 88
| 0.648383
| 157
| 1,422
| 5.617834
| 0.152866
| 0.122449
| 0.07483
| 0.122449
| 0.776644
| 0.776644
| 0.776644
| 0.776644
| 0.655329
| 0.655329
| 0
| 0
| 0.269339
| 1,422
| 24
| 89
| 59.25
| 0.848893
| 0
| 0
| 0.409091
| 0
| 0
| 0.030239
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.045455
| false
| 0
| 0.136364
| 0
| 0.318182
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4edfde216b649136d43d5b676cf7763440d5c02c
| 439
|
py
|
Python
|
utils/summaries.py
|
LK-Peng/CNN-based-Cloud-Detection-Methods
|
1393a6886e62f1ed5a612d57c5a725c763a6b2cc
|
[
"MIT"
] | 2
|
2022-02-16T03:30:19.000Z
|
2022-03-18T08:02:39.000Z
|
utils/summaries.py
|
LK-Peng/CNN-based-Cloud-Detection-Methods
|
1393a6886e62f1ed5a612d57c5a725c763a6b2cc
|
[
"MIT"
] | null | null | null |
utils/summaries.py
|
LK-Peng/CNN-based-Cloud-Detection-Methods
|
1393a6886e62f1ed5a612d57c5a725c763a6b2cc
|
[
"MIT"
] | 1
|
2022-02-16T03:30:20.000Z
|
2022-02-16T03:30:20.000Z
|
import os
import torch
from torchvision.utils import make_grid
from torch.utils.tensorboard import SummaryWriter
class TensorboardSummary(object):
def __init__(self, directory):
self.directory = directory
def create_summary(self):
writer = SummaryWriter(log_dir=os.path.join(self.directory))
return writer
def visualize_image(self, writer, dataset, image, target, output, global_step):
pass
| 25.823529
| 83
| 0.733485
| 53
| 439
| 5.90566
| 0.622642
| 0.124601
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191344
| 439
| 16
| 84
| 27.4375
| 0.88169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.083333
| 0.333333
| 0
| 0.75
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
4ef0b8f1c22a9f1c4bedb0ea277378802d0191a7
| 169
|
py
|
Python
|
accounts/forms.py
|
SuperLeet-CTF/SuperLeet-CTF
|
3af085d310a8303ef3aff376ba930649586d5993
|
[
"MIT"
] | 4
|
2017-10-09T21:53:44.000Z
|
2020-12-02T19:11:08.000Z
|
accounts/forms.py
|
SuperLeet-CTF/SuperLeet-CTF
|
3af085d310a8303ef3aff376ba930649586d5993
|
[
"MIT"
] | null | null | null |
accounts/forms.py
|
SuperLeet-CTF/SuperLeet-CTF
|
3af085d310a8303ef3aff376ba930649586d5993
|
[
"MIT"
] | 1
|
2020-09-02T06:02:31.000Z
|
2020-09-02T06:02:31.000Z
|
from django import forms
from .models import UserProfile
class UserProfileForm(forms.ModelForm):
class Meta:
model = UserProfile
fields = ['bio']
| 16.9
| 39
| 0.686391
| 18
| 169
| 6.444444
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242604
| 169
| 9
| 40
| 18.777778
| 0.90625
| 0
| 0
| 0
| 0
| 0
| 0.017751
| 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
|
f6497921ff9db3203cfe7cdacaa7cdba45ee9aeb
| 623
|
py
|
Python
|
CodeWars/Convert string to camel case.py
|
a3X3k/Competitive-programing-hacktoberfest-2021
|
bc3997997318af4c5eafad7348abdd9bf5067b4f
|
[
"Unlicense"
] | 12
|
2021-06-05T09:40:10.000Z
|
2021-10-07T17:59:51.000Z
|
CodeWars/Convert string to camel case.py
|
a3X3k/Competitive-programing-hacktoberfest-2021
|
bc3997997318af4c5eafad7348abdd9bf5067b4f
|
[
"Unlicense"
] | 21
|
2020-10-10T10:41:03.000Z
|
2020-10-31T10:41:23.000Z
|
CodeWars/Convert string to camel case.py
|
a3X3k/Competitive-programing-hacktoberfest-2021
|
bc3997997318af4c5eafad7348abdd9bf5067b4f
|
[
"Unlicense"
] | 67
|
2021-08-01T10:04:52.000Z
|
2021-10-10T00:25:04.000Z
|
'''
6 kyu Convert string to camel case.py
https://www.codewars.com/kata/517abf86da9663f1d2000003/train/python
Complete the method/function so that it converts dash/underscore delimited words into camel casing. The first word within the output should be capitalized only if the original word was capitalized (known as Upper Camel Case, also often referred to as Pascal case).
Examples
to_camel_case("the-stealth-warrior") # returns "theStealthWarrior"
to_camel_case("The_Stealth_Warrior") # returns "TheStealthWarrior"
'''
def to_camel_case(text):
return text[:1] + text.title()[1:].replace('_', '').replace('-', '')
| 44.5
| 264
| 0.76886
| 89
| 623
| 5.280899
| 0.662921
| 0.095745
| 0.093617
| 0.059574
| 0.221277
| 0.221277
| 0.221277
| 0.221277
| 0
| 0
| 0
| 0.036496
| 0.120385
| 623
| 14
| 265
| 44.5
| 0.821168
| 0.831461
| 0
| 0
| 0
| 0
| 0.02
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
f67ff1a9344eee58185e66ae847b056071b9a454
| 89
|
py
|
Python
|
albumes/apps.py
|
jealuna/Album
|
7083aca387dab5cd58c67afcfd1492f22a53d972
|
[
"MIT"
] | null | null | null |
albumes/apps.py
|
jealuna/Album
|
7083aca387dab5cd58c67afcfd1492f22a53d972
|
[
"MIT"
] | 13
|
2021-03-10T08:04:08.000Z
|
2022-03-12T00:15:30.000Z
|
albumes/apps.py
|
jealuna/Album
|
7083aca387dab5cd58c67afcfd1492f22a53d972
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class AlbumesConfig(AppConfig):
name = 'albumes'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 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
|
9c9bf897df337538062376e0a020b71b771ba8c5
| 14,651
|
py
|
Python
|
spanda/sql/column.py
|
guyd1995/spanda
|
5481642eebfdff183eb465cd5b9a78c9abc2ad51
|
[
"MIT"
] | null | null | null |
spanda/sql/column.py
|
guyd1995/spanda
|
5481642eebfdff183eb465cd5b9a78c9abc2ad51
|
[
"MIT"
] | null | null | null |
spanda/sql/column.py
|
guyd1995/spanda
|
5481642eebfdff183eb465cd5b9a78c9abc2ad51
|
[
"MIT"
] | null | null | null |
import re
from copy import deepcopy
import pandas as pd
from spanda.core.typing import *
from spanda.core.utils import wrap_col_args
class _SpecialSpandaColumn:
"""
This kind of column is created for special column transformations that do not make sense as standard columns
because the flexibility allowed by usual columns do not apply to them. Such columns include exploded rows which can
only come inside a select operation (at least in Spanda). These columns do not allow any further transformation
other than simple ones such as name aliases. They are "leaf-transformations" that can only appear in a select(...)
clause.
"""
EXPLODE_ROWS_TYPE = 1
EXPLODE_COLS_TYPE = 2
def __init__(self, transformation_type, extra_data, name):
self._name = name
self._transformation_type = transformation_type
self._extra_data = extra_data
def alias(self, name):
new_copy = deepcopy(self)
new_copy._name = name
return new_copy
@staticmethod
def _apply_special_preprocess(col, df):
if col._transformation_type == _SpecialSpandaColumn.EXPLODE_ROWS_TYPE:
return
elif col._transformation_type == _SpecialSpandaColumn.EXPLODE_COLS_TYPE:
if col._extra_data == '*':
return {'add_columns': list(df.columns), 'actual_columns': []}
else:
raise NotImplementedError
@staticmethod
def _apply_special(col, df, metadata):
if col._transformation_type == _SpecialSpandaColumn.EXPLODE_ROWS_TYPE:
orig_col_name = col._extra_data
return df[orig_col_name]
elif col._transformation_type == _SpecialSpandaColumn.EXPLODE_COLS_TYPE:
col_names = []
if col._extra_data == '*':
col_names = metadata['actual_columns']
return df.apply(lambda row: {name: row[name] for name in col_names}, axis=1)
else:
raise NotImplementedError
@staticmethod
def _apply_special_postprocess(df: pd.DataFrame, col_name: str, trans_type: int,
metadata: dict,
all_col_names: list) -> pd.DataFrame:
if trans_type == _SpecialSpandaColumn.EXPLODE_ROWS_TYPE:
return df.explode([col_name])
elif trans_type == _SpecialSpandaColumn.EXPLODE_COLS_TYPE:
col_dicts = df[col_name].tolist()
new_df = pd.DataFrame.from_records(col_dicts, index=df.index)
pos = all_col_names.index(col_name)
all_col_names[:] = all_col_names[:pos] + metadata['add_columns'] + all_col_names[pos+1:]
return pd.concat([df, new_df], axis=1)
else:
raise NotImplementedError
class SpandaStruct:
def __init__(self, values: Sequence, names=None):
assert (names is None) or (len(names) == len(values)), "if field names are specified they should match field" \
" values in the number of parameters"
if names is None:
names = list(range(len(values)))
self._struct_keys = tuple(names)
self._struct_vals = tuple(values)
def __iter__(self):
def _my_iter():
for i in range(len(self)):
yield self[i]
return _my_iter()
def __len__(self):
return len(self._struct_vals)
def __repr__(self):
return str(self._struct_vals)
def __getitem__(self, item):
assert isinstance(item, int), "SpandaStruct does not take in field names but only ints at the moments"
return self._struct_vals[item]
@staticmethod
def _get_field(struct: 'SpandaStruct', field_name: str):
assert field_name in struct._struct_keys, f'`{field_name}` is not in struct'
idx = struct._struct_keys.index(field_name)
# TODO: need to alert on duplicate keys but we can't disallow them because
# we must also support them (for e.g., F.array(..) internal implementation)
return struct._struct_vals[idx]
def udf(func: Callable) -> Callable:
"""
Transforms function `func` into a function that applies `func` elementwise on a column
"""
@wrap_col_args
def f(*cols: Column) -> Column:
return Column._transformColumn(f"UDF `{func.__name__}` ({', '.join([Column.getName(col) for col in cols])})",
lambda df: pd.concat([Column._apply(col, df) for col in cols],
axis='columns').apply(lambda c: func(*c), axis='columns'))
return f
class Column:
"""
A column in Spanda dataframe
"""
def __init__(self, name: Optional[str]):
self._name = name
self._op = lambda df: df[name]
def _set_op(self, op: Callable):
self._op = op
@staticmethod
def getName(col: Union['Column', str]) -> str:
if isinstance(col, Column):
return col._name
else:
return str(col)
@staticmethod
def _apply(col: 'Column', df: pd.DataFrame) -> Union[pd.Series, Any]:
if isinstance(col, Column):
return col._op(df)
elif isinstance(col, _SpecialSpandaColumn):
assert False, f"cannot apply anything special columns such as {Column.getName(col)}"
else:
return col
@staticmethod
def _transformColumn(name: str, operation: Callable) -> 'Column':
col = Column(None)
col._name = name
col._op = operation
return col
def _simpleBinaryTransformColumn(self, opname: str, opfunc: Callable, other: Union['Column', Any],
is_other_col: bool = True) -> 'Column':
return Column._transformColumn(f"({Column.getName(self)} {opname} {Column.getName(other)})",
lambda df: opfunc(Column._apply(self, df),
Column._apply(other, df) if is_other_col else other))
def _simpleUnaryTransformColumn(self, opname: str, opfunc: Callable) -> 'Column':
return Column._transformColumn(f"({opname}{Column.getName(self)})", lambda df: opfunc(Column._apply(self, df)))
def __repr__(self):
return f"<Column {self._name}>"
def alias(self, name):
"""
Return column with new name
"""
return Column._transformColumn(name, self._op)
def between(self, start, end):
"""
A boolean expression that is evaluated to true if the value of this
expression is between the given columns.
>>> df.select('name', F.col('age').between(2, 4))
+-----+---------------------------+
| name|((age >= 2) AND (age <= 4))|
+-----+---------------------------+
|Alice| true|
| Bob| false|
+-----+---------------------------+
"""
return (self >= start) & (self <= end)
def getItem(self, key: Union[int, Hashable]):
"""
An expression that gets an item at position ordinal out of a list, or gets an item by key out of a dict
"""
return self._simpleUnaryTransformColumn(f'GET_ITEM [{str(key)}]', lambda x: x[key])
def isNotNull(self):
"""
True if the current expression is NOT null.
"""
return self._simpleUnaryTransformColumn('IS NOT NULL ', lambda x: x is not None)
def isNull(self):
"""
True if the current expression is null.
"""
return self._simpleUnaryTransformColumn('IS NULL ', lambda x: x is None)
def rlike(self, other: str):
"""
SQL RLIKE expression (LIKE with Regex). Returns a boolean Column based on a regex match.
"""
pattern = re.compile(other)
return self._simpleUnaryTransformColumn(f'RLIKE ({str(pattern)}) ', lambda x: pattern.search(x) is not None)
def like(self, other: str):
"""
SQL like expression. Returns a boolean Column based on a SQL LIKE match.
"""
_special_regex_chars = {
ch: '\\' + ch
for ch in '.^$*+?{}[]|()\\'
}
def _sql_like_fragment_to_regex_string(fragment):
# https://codereview.stackexchange.com/a/36864/229677
safe_fragment = ''.join([
_special_regex_chars.get(ch, ch)
for ch in fragment
])
return '^' + safe_fragment.replace('%', '.*?').replace('_', '.') + '$'
return self.rlike(_sql_like_fragment_to_regex_string(other))
def apply(self, func: Callable) -> 'Column':
return udf(func)(self)
def isin(self, values):
"""
A boolean expression that is evaluated to true if the value of this
expression is contained by the evaluated values of the arguments.
"""
return self._simpleBinaryTransformColumn('IN', lambda x, y: x.isin(y), values, is_other_col=False)
def substr(self, startPos: int, length: int):
"""
Return a Column which is a substring of the column
"""
# TODO: assert is string
return self._simpleUnaryTransformColumn(f'SUBSTR ({startPos}, {length}) ',
lambda x: x[startPos: startPos + length])
def startswith(self, other: str):
"""
True if string begins with `other`
"""
return self._simpleUnaryTransformColumn(f'STARTSWITH ("{other}") ',
lambda x: x.startswith(other))
def endswith(self, other: str):
"""
True if string ends with `other`
"""
return self._simpleUnaryTransformColumn(f'ENDSWITH ("{other}") ',
lambda x: x.endswith(other))
def contains(self, other: str):
"""
True if string contains string `other`
"""
# TODO: assert string
return self._simpleUnaryTransformColumn(f'CONTAINS ("{other}") ',
lambda x: other in x)
def getField(self, name: str) -> 'Column':
"""
Get the field of a SpandaStruct by the name `name`
"""
full_name = Column.getName(self) + "." + name
return self.apply(lambda x: SpandaStruct._get_field(x, name)).alias(full_name)
# operators
def __eq__(self, other):
return self._simpleBinaryTransformColumn('==', lambda x, y: x == y, other)
def __ne__(self, other):
return self._simpleBinaryTransformColumn('!=', lambda x, y: x != y, other)
def __gt__(self, other):
return self._simpleBinaryTransformColumn('>', lambda x, y: x > y, other)
def __lt__(self, other):
return self._simpleBinaryTransformColumn('<', lambda x, y: x < y, other)
def __ge__(self, other):
return self._simpleBinaryTransformColumn('>=', lambda x, y: x >= y, other)
def __le__(self, other):
return self._simpleBinaryTransformColumn('<=', lambda x, y: x <= y, other)
def __add__(self, other):
return self._simpleBinaryTransformColumn('+', lambda x, y: x + y, other)
def __mul__(self, other):
return self._simpleBinaryTransformColumn('*', lambda x, y: x * y, other)
def __div__(self, other):
return self._simpleBinaryTransformColumn('/', lambda x, y: x / y, other)
def __sub__(self, other):
return self._simpleBinaryTransformColumn('-', lambda x, y: x - y, other)
def __and__(self, other):
return self._simpleBinaryTransformColumn(' AND ', lambda x, y: x & y, other)
def __or__(self, other):
return self._simpleBinaryTransformColumn(' OR ', lambda x, y: x | y, other)
def __neg__(self, other):
return self._simpleUnaryTransformColumn('-', lambda x: -x)
def __invert__(self):
return self._simpleUnaryTransformColumn('NOT ', lambda x: ~x)
class AggColumn:
def __init__(self, name, orig_col, op):
self._name = name
self._orig_col = orig_col
self._op = op
def alias(self, name):
# TODO: might want to clone orig_col and op (maybe also in Column)
return AggColumn(name=name, orig_col=self._orig_col, op=self._op)
@staticmethod
def getName(agg_col):
return f"{agg_col._name} ({Column.getName(agg_col._orig_col)})"
@staticmethod
def _apply(agg_col: 'AggColumn', df: pd.DataFrame) -> pd.Series:
return agg_col._op(Column._apply(agg_col._orig_col, df))
def over(self, window_spec) -> Column:
def f(df):
inputs = Column._apply(self._orig_col, df)
# in the following, row2grp represents the representative group of each row, while grp2rows is a dictionary
# of all rows that the group aggregates over. possibly not intuitive but group may include rows that are
# not represented by this group (for example if we apply lead(...) we aggregate over the next row which is
# not represented by the current group)
row2grp, grp2rows = window_spec._get_group_data(df)
grp_agg_val = {grp: self._op(inputs.loc[vals]) for grp, vals in grp2rows.items()}
data = {row_idx: grp_agg_val[grp_name] for row_idx, grp_name in row2grp.items()}
return pd.Series(data=data, index=inputs.index)
col = Column(name=f"{AggColumn.getName(self)} OVER ({window_spec._name})")
col._set_op(f)
return col
class WindowTransformationColumn(AggColumn):
def __init(self, name: str, orig_col: Column, op: Callable):
self._name = name
self._orig_col = orig_col
self._op = op
@staticmethod
def _apply(agg_col, df: pd.DataFrame):
assert False, f"cannot aggregate grouped data using `{agg_col._name}`. can be used only over windows."
def over(self, window_spec) -> Column:
def f(df):
orig_col = self._orig_col
if orig_col is None:
orig_col = window_spec._get_orderby_col()
inputs = Column._apply(orig_col, df)
row2grp, grp2rows = window_spec._get_group_data(df)
data = {row_idx: self._op(inputs, grp2rows[grp_name], grp2rows[grp_name].index(row_idx))
for row_idx, grp_name in row2grp.items()}
return pd.Series(data=data, index=inputs.index)
col = Column(name=f"{AggColumn.getName(self)} OVER ({window_spec._name})")
col._set_op(f)
return col
| 38.353403
| 119
| 0.596615
| 1,747
| 14,651
| 4.785346
| 0.174585
| 0.032297
| 0.028708
| 0.013995
| 0.351196
| 0.263876
| 0.219139
| 0.179665
| 0.142584
| 0.134689
| 0
| 0.002987
| 0.291652
| 14,651
| 381
| 120
| 38.454068
| 0.802563
| 0.160262
| 0
| 0.239316
| 0
| 0.004274
| 0.087004
| 0.021603
| 0
| 0
| 0
| 0.010499
| 0.021368
| 1
| 0.260684
| false
| 0
| 0.021368
| 0.102564
| 0.559829
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
9caf75bb0e3d26dd6d8ce4d5a0e72cd6463cafab
| 1,594
|
py
|
Python
|
src/python/datastructures/tribonacci.py
|
Binjaaa/CodeWarsOldRepublic
|
6d27ef9426f956243fdcf908898856815cfe022d
|
[
"MIT"
] | null | null | null |
src/python/datastructures/tribonacci.py
|
Binjaaa/CodeWarsOldRepublic
|
6d27ef9426f956243fdcf908898856815cfe022d
|
[
"MIT"
] | 6
|
2017-11-16T11:05:31.000Z
|
2017-12-03T18:31:07.000Z
|
src/python/datastructures/tribonacci.py
|
Binjaaa/CodeWarsOldRepublic
|
6d27ef9426f956243fdcf908898856815cfe022d
|
[
"MIT"
] | null | null | null |
def tribonacci(signature, n):
len_sig = len(signature)
trib_list = signature
if n <= 3:
return trib_list[:n]
for i in range(0, n-len_sig):
trib_list.append(trib_list[i] + trib_list[i+1] + trib_list[i+2])
return trib_list
print tribonacci([1, 1, 1], 0)
print tribonacci([1, 1, 1], 1)
print tribonacci([1, 1, 1], 2)
# print tribonacci([0, 0, 1], 10)
# print tribonacci([1, 0, 0], 10)
# print tribonacci([1, 2, 3], 10)
# https://www.codewars.com/kata/tribonacci-sequence
# Test.describe("Basic tests")
# Test.assert_equals(tribonacci([1, 1, 1], 10), [1, 1, 1, 3, 5, 9, 17, 31, 57, 105])
# Test.assert_equals(tribonacci([0, 0, 1], 10), [0, 0, 1, 1, 2, 4, 7, 13, 24, 44])
# Test.assert_equals(tribonacci([0, 1, 1], 10), [0, 1, 1, 2, 4, 7, 13, 24, 44, 81])
# Test.assert_equals(tribonacci([1, 0, 0], 10), [1, 0, 0, 1, 1, 2, 4, 7, 13, 24])
# Test.assert_equals(tribonacci([0, 0, 0], 10), [0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
# Test.assert_equals(tribonacci([1, 2, 3], 10), [1, 2, 3, 6, 11, 20, 37, 68, 125, 230])
# Test.assert_equals(tribonacci([3, 2, 1], 10), [3, 2, 1, 6, 9, 16, 31, 56, 103, 190])
# Test.assert_equals(tribonacci([1, 1, 1], 1), [1])
# Test.assert_equals(tribonacci([300, 200, 100], 0), [])
# Test.assert_equals(tribonacci([0.5, 0.5, 0.5], 30),
# [0.5, 0.5, 0.5, 1.5, 2.5, 4.5, 8.5, 15.5, 28.5, 52.5, 96.5, 177.5, 326.5, 600.5, 1104.5, 2031.5,
# 3736.5, 6872.5, 12640.5, 23249.5, 42762.5, 78652.5, 144664.5, 266079.5, 489396.5, 900140.5,
# 1655616.5, 3045153.5, 5600910.5, 10301680.5])
| 43.081081
| 117
| 0.572146
| 304
| 1,594
| 2.9375
| 0.276316
| 0.042553
| 0.179171
| 0.291153
| 0.43897
| 0.192609
| 0.116461
| 0.051512
| 0.051512
| 0
| 0
| 0.26022
| 0.202008
| 1,594
| 37
| 118
| 43.081081
| 0.441824
| 0.752823
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.272727
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9cdaf795af1da0407c8197e8f48029a14f50ebca
| 107
|
py
|
Python
|
tests/__init__.py
|
phillips96/similarity
|
3794f288f17f47f1f90b5368e5c0eeac1e81e10d
|
[
"Apache-2.0"
] | 706
|
2021-09-04T02:11:05.000Z
|
2022-03-31T13:29:14.000Z
|
tests/__init__.py
|
phillips96/similarity
|
3794f288f17f47f1f90b5368e5c0eeac1e81e10d
|
[
"Apache-2.0"
] | 119
|
2021-09-01T22:32:40.000Z
|
2022-03-30T22:39:27.000Z
|
tests/__init__.py
|
phillips96/similarity
|
3794f288f17f47f1f90b5368e5c0eeac1e81e10d
|
[
"Apache-2.0"
] | 57
|
2021-09-04T02:11:14.000Z
|
2022-03-31T13:29:15.000Z
|
from pathlib import Path
CURRRENT_DIR = Path(__file__).parent.absolute()
DATA_DIR = CURRRENT_DIR / 'data/'
| 26.75
| 47
| 0.775701
| 15
| 107
| 5.066667
| 0.666667
| 0.289474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11215
| 107
| 3
| 48
| 35.666667
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0.046729
| 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
|
143513d211986efa6baf417a7ffbaf76cb4a104b
| 227
|
py
|
Python
|
src/mailguard/configuration/models/serializers/checks_serializers.py
|
derMonarch/mailguard
|
8fdfe756ea9dbe4b2ef044b12fd133d24893415a
|
[
"Apache-2.0"
] | 2
|
2021-08-05T17:31:47.000Z
|
2021-08-19T19:36:38.000Z
|
src/mailguard/configuration/models/serializers/checks_serializers.py
|
derMonarch/mailguard
|
8fdfe756ea9dbe4b2ef044b12fd133d24893415a
|
[
"Apache-2.0"
] | null | null | null |
src/mailguard/configuration/models/serializers/checks_serializers.py
|
derMonarch/mailguard
|
8fdfe756ea9dbe4b2ef044b12fd133d24893415a
|
[
"Apache-2.0"
] | null | null | null |
from rest_framework import serializers
from ..checks_model import ChecksModel
class ChecksSerializer(serializers.ModelSerializer):
class Meta:
model = ChecksModel
fields = ["account_id", "time_interval"]
| 22.7
| 52
| 0.744493
| 23
| 227
| 7.173913
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185022
| 227
| 9
| 53
| 25.222222
| 0.891892
| 0
| 0
| 0
| 0
| 0
| 0.101322
| 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
|
149216e53024dbb01ef864a987e924a7e51e9cde
| 58
|
py
|
Python
|
src/config_example.py
|
DeveloperAnonymous/quota-lex
|
caaf30408a7642b24d5ec78c899ff761d35a4889
|
[
"MIT"
] | null | null | null |
src/config_example.py
|
DeveloperAnonymous/quota-lex
|
caaf30408a7642b24d5ec78c899ff761d35a4889
|
[
"MIT"
] | null | null | null |
src/config_example.py
|
DeveloperAnonymous/quota-lex
|
caaf30408a7642b24d5ec78c899ff761d35a4889
|
[
"MIT"
] | null | null | null |
TOKEN="xxxx_your_token_here_xxxx"
OWNER=000000000000000000
| 29
| 33
| 0.913793
| 8
| 58
| 6.125
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.315789
| 0.017241
| 58
| 2
| 34
| 29
| 0.54386
| 0
| 0
| 0
| 0
| 0
| 0.423729
| 0.423729
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1492e316a2d9ea7cbcabea0934c340bd0068cdb9
| 273
|
py
|
Python
|
csc_new/pages/admin.py
|
rit-csc/CSCWebsite
|
70cd292685389df849d330e7fcef62e9575bb6c2
|
[
"MIT"
] | 3
|
2015-02-08T19:54:06.000Z
|
2017-05-09T15:44:49.000Z
|
csc_new/pages/admin.py
|
rit-csc/CSCWebsite
|
70cd292685389df849d330e7fcef62e9575bb6c2
|
[
"MIT"
] | 41
|
2015-01-09T19:37:00.000Z
|
2016-10-06T01:59:40.000Z
|
csc_new/pages/admin.py
|
rit-csc/CSCWebsite
|
70cd292685389df849d330e7fcef62e9575bb6c2
|
[
"MIT"
] | 6
|
2015-05-14T18:05:46.000Z
|
2016-09-07T22:27:47.000Z
|
from django.contrib import admin
from pages.models import ExamReview, Photo, GeneralMeetingSlides, Attendance
# Register your models here.
admin.site.register(ExamReview)
admin.site.register(Photo)
admin.site.register(GeneralMeetingSlides)
admin.site.register(Attendance)
| 30.333333
| 76
| 0.838828
| 33
| 273
| 6.939394
| 0.454545
| 0.157205
| 0.296943
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 273
| 8
| 77
| 34.125
| 0.90873
| 0.095238
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
149473d6c99060feea249d8dfcf619ea2227fa93
| 184
|
py
|
Python
|
_fred-v1/model/models/residuals.py
|
elviva404/frontend-regression-validator
|
21df2a127712bdf0688dc9aedf478c6a2a90a3c3
|
[
"ECL-2.0",
"Apache-2.0"
] | 70
|
2019-09-16T13:30:49.000Z
|
2022-02-25T17:46:23.000Z
|
_fred-v1/model/models/residuals.py
|
elviva404/frontend-regression-validator
|
21df2a127712bdf0688dc9aedf478c6a2a90a3c3
|
[
"ECL-2.0",
"Apache-2.0"
] | 2
|
2020-01-13T09:15:47.000Z
|
2020-07-29T11:49:25.000Z
|
_fred-v1/model/models/residuals.py
|
elviva404/frontend-regression-validator
|
21df2a127712bdf0688dc9aedf478c6a2a90a3c3
|
[
"ECL-2.0",
"Apache-2.0"
] | 10
|
2019-10-06T08:22:05.000Z
|
2022-02-03T18:45:08.000Z
|
class Residuals:
def __init__(self, resnet_layer):
resnet_layer.register_forward_hook(self.hook)
def hook(self, module, input, output):
self.features = output
| 26.285714
| 53
| 0.695652
| 23
| 184
| 5.217391
| 0.608696
| 0.183333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.211957
| 184
| 6
| 54
| 30.666667
| 0.827586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1ae9a48a1c6c06fa0d6dce87205c40011eedaa6a
| 2,983
|
py
|
Python
|
Spiders/test.py
|
Rainstyd/rainsty
|
9a0d5f46c20faf909c4194f315fb9960652cffc6
|
[
"Apache-2.0"
] | 1
|
2020-03-25T01:13:35.000Z
|
2020-03-25T01:13:35.000Z
|
Spiders/test.py
|
Rainstyed/rainsty
|
f74e0ccaf16d1871c9d1870bd8a7c8a63243fcf5
|
[
"Apache-2.0"
] | 1
|
2022-01-06T23:49:21.000Z
|
2022-01-06T23:49:21.000Z
|
Spiders/test.py
|
rainstyd/rainsty
|
9a0d5f46c20faf909c4194f315fb9960652cffc6
|
[
"Apache-2.0"
] | 1
|
2020-03-20T08:48:36.000Z
|
2020-03-20T08:48:36.000Z
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
@author: rainsty
@file: test.py
@time: 2020-04-28 13:13:29
@description:
"""
# import time
# from selenium import webdriver
# from scrapy.downloadermiddlewares.useragent import UserAgentMiddleware
#
# browser = webdriver.Chrome()
# link1 = 'https://www.baidu.com/'
# time.sleep(10)
# browser.get(link1)
# time.sleep(10)
# browser.find_element_by_id('kw').send_keys('mczaiyun.top')
# time.sleep(10)
# browser.find_element_by_id('su').click()
#
user_agent_list = [
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 "
"(KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
"Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 "
"(KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 "
"(KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 "
"(KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 "
"(KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 "
"(KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 "
"(KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 "
"(KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 "
"(KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 "
"(KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]
import requests
proxies = {'http': 'http://rainsty:keyile@47.99.139.144:8388'}
url = 'http://47.99.139.144:8001/rain'
res = requests.get(url, proxies=proxies, verify=False)
print(res.status_code)
| 43.231884
| 75
| 0.63292
| 494
| 2,983
| 3.793522
| 0.238866
| 0.076841
| 0.086446
| 0.192102
| 0.719317
| 0.71825
| 0.705977
| 0.683031
| 0.598719
| 0.503735
| 0
| 0.188123
| 0.192759
| 2,983
| 68
| 76
| 43.867647
| 0.590116
| 0.152531
| 0
| 0.325581
| 0
| 0.023256
| 0.769753
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.023256
| 0
| 0.023256
| 0.023256
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
212fea3251b77f2f681c5a29b77e15cbdfbfcbee
| 103
|
py
|
Python
|
3.7.0/lldb-3.7.0.src/test/functionalities/command_script/import/foo/bar/foobar.py
|
androm3da/clang_sles
|
2ba6d0711546ad681883c42dfb8661b842806695
|
[
"MIT"
] | 3
|
2016-02-10T14:18:40.000Z
|
2018-02-05T03:15:56.000Z
|
3.7.0/lldb-3.7.0.src/test/functionalities/command_script/import/foo/bar/foobar.py
|
androm3da/clang_sles
|
2ba6d0711546ad681883c42dfb8661b842806695
|
[
"MIT"
] | 1
|
2016-02-10T15:40:03.000Z
|
2016-02-10T15:40:03.000Z
|
3.7.0/lldb-3.7.0.src/test/functionalities/command_script/import/foo/bar/foobar.py
|
androm3da/clang_sles
|
2ba6d0711546ad681883c42dfb8661b842806695
|
[
"MIT"
] | null | null | null |
def foo_function(debugger, args, result, dict):
print >>result, ("foobar says " + args)
return None
| 25.75
| 47
| 0.699029
| 14
| 103
| 5.071429
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165049
| 103
| 3
| 48
| 34.333333
| 0.825581
| 0
| 0
| 0
| 0
| 0
| 0.116505
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
214e15024394546f0f8ef7d723401096be7f23e6
| 289
|
py
|
Python
|
tests/feats/django/__init__.py
|
roverdotcom/feats.py
|
382f13e2f616b874d181ab9279a4a1a1652f8b83
|
[
"MIT"
] | 3
|
2019-12-11T21:56:21.000Z
|
2021-02-17T00:17:01.000Z
|
tests/feats/django/__init__.py
|
roverdotcom/feats.py
|
382f13e2f616b874d181ab9279a4a1a1652f8b83
|
[
"MIT"
] | 1
|
2020-02-12T00:29:58.000Z
|
2020-02-12T00:30:15.000Z
|
tests/feats/django/__init__.py
|
roverdotcom/feats.py
|
382f13e2f616b874d181ab9279a4a1a1652f8b83
|
[
"MIT"
] | null | null | null |
import django
from django.conf import settings
from example.project import settings as project_settings
import feats
from feats.storage import Memory
if not settings.configured:
settings.configure(INSTALLED_APPS=['feats.django'], FEATS=feats.App(storage=Memory()))
django.setup()
| 28.9
| 90
| 0.799308
| 39
| 289
| 5.871795
| 0.487179
| 0.122271
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114187
| 289
| 9
| 91
| 32.111111
| 0.894531
| 0
| 0
| 0
| 0
| 0
| 0.041522
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.625
| 0
| 0.625
| 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
|
dccd7b58bf255c8735597e1120b8f3a4214783fa
| 297
|
py
|
Python
|
interpolated_torchdiffeq/_impl/__init__.py
|
Daulbaev/IRDM
|
4bb60191ac0072e4349ca47092675d06b39a979a
|
[
"MIT"
] | 10
|
2020-12-06T13:04:33.000Z
|
2021-02-04T23:10:43.000Z
|
interpolated_torchdiffeq/_impl/__init__.py
|
Daulbaev/IRDM
|
4bb60191ac0072e4349ca47092675d06b39a979a
|
[
"MIT"
] | null | null | null |
interpolated_torchdiffeq/_impl/__init__.py
|
Daulbaev/IRDM
|
4bb60191ac0072e4349ca47092675d06b39a979a
|
[
"MIT"
] | null | null | null |
from .odeint import odeint
from .adjoint import odeint_adjoint
from .cheb import cheb1_interp_torch, compute_barycentric_weights, r8vec_cheby1space
from .odeint_interpolated import odeint_linear_func, odeint_chebyshev_func
from .odeint_interpolated import odeint_chebyshev_func, odeint_linear_func
| 59.4
| 84
| 0.892256
| 40
| 297
| 6.225
| 0.425
| 0.192771
| 0.176707
| 0.2249
| 0.273092
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010949
| 0.077441
| 297
| 5
| 85
| 59.4
| 0.89781
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
0d4a3774b44263c4c10da96e8233da7e0c489e90
| 119
|
py
|
Python
|
examples/packfloat_simpletest.py
|
mcauser/CircuitPython_packfloat
|
837c79817b6dcdf65756a0418c2fe76eb99d06ff
|
[
"MIT"
] | 1
|
2021-01-27T04:12:14.000Z
|
2021-01-27T04:12:14.000Z
|
examples/packfloat_simpletest.py
|
mcauser/CircuitPython_packfloat
|
837c79817b6dcdf65756a0418c2fe76eb99d06ff
|
[
"MIT"
] | null | null | null |
examples/packfloat_simpletest.py
|
mcauser/CircuitPython_packfloat
|
837c79817b6dcdf65756a0418c2fe76eb99d06ff
|
[
"MIT"
] | 1
|
2020-12-07T14:12:25.000Z
|
2020-12-07T14:12:25.000Z
|
# SPDX-FileCopyrightText: 2017 Scott Shawcroft, written for Adafruit Industries
#
# SPDX-License-Identifier: Unlicense
| 29.75
| 79
| 0.815126
| 13
| 119
| 7.461538
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037736
| 0.109244
| 119
| 3
| 80
| 39.666667
| 0.877358
| 0.941176
| 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
|
0d4f1a73ddba0300696d4f26fe795d8f7791c9e9
| 292
|
py
|
Python
|
Programing_Basics_with_Python/2 Conditional Statements/More/Excellent.py
|
eclipse-ib/Software-University-Entry-Module
|
7d287dc32340ae301872d6e45cbd7d8bf56110a2
|
[
"MIT"
] | null | null | null |
Programing_Basics_with_Python/2 Conditional Statements/More/Excellent.py
|
eclipse-ib/Software-University-Entry-Module
|
7d287dc32340ae301872d6e45cbd7d8bf56110a2
|
[
"MIT"
] | null | null | null |
Programing_Basics_with_Python/2 Conditional Statements/More/Excellent.py
|
eclipse-ib/Software-University-Entry-Module
|
7d287dc32340ae301872d6e45cbd7d8bf56110a2
|
[
"MIT"
] | null | null | null |
# grade = float(input())
#
# if grade >= 5.50:
# print("Excellent!")
# else:
# print("Not excellent.")
# ----------------------------------
# color = "red"
# if color == "red":
# print("Red")
# else:
# print("Yellow")
# print("bye")
# ---------------------------------
| 13.272727
| 36
| 0.373288
| 25
| 292
| 4.36
| 0.56
| 0.165138
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012987
| 0.208904
| 292
| 21
| 37
| 13.904762
| 0.458874
| 0.876712
| 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
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b4b13aff01f2919a0708f4e11e530f1d11cf457a
| 453
|
py
|
Python
|
terrascript/resource/clc.py
|
amlodzianowski/python-terrascript
|
1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49
|
[
"BSD-2-Clause"
] | null | null | null |
terrascript/resource/clc.py
|
amlodzianowski/python-terrascript
|
1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49
|
[
"BSD-2-Clause"
] | null | null | null |
terrascript/resource/clc.py
|
amlodzianowski/python-terrascript
|
1111affe6cd30d9b8b7bc74ae4e27590f7d4dc49
|
[
"BSD-2-Clause"
] | null | null | null |
# terrascript/resource/clc.py
import terrascript
class clc_server(terrascript.Resource):
pass
class clc_group(terrascript.Resource):
pass
class clc_public_ip(terrascript.Resource):
pass
class clc_load_balancer(terrascript.Resource):
pass
class clc_load_balancer_pool(terrascript.Resource):
pass
__all__ = [
"clc_server",
"clc_group",
"clc_public_ip",
"clc_load_balancer",
"clc_load_balancer_pool",
]
| 13.727273
| 51
| 0.728477
| 55
| 453
| 5.6
| 0.272727
| 0.37013
| 0.373377
| 0.363636
| 0.480519
| 0.279221
| 0.279221
| 0
| 0
| 0
| 0
| 0
| 0.178808
| 453
| 32
| 52
| 14.15625
| 0.827957
| 0.059603
| 0
| 0.277778
| 0
| 0
| 0.167453
| 0.051887
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.277778
| 0.055556
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
b4b2eb65ec8b54f23e9245ef37a287049982578d
| 282
|
py
|
Python
|
kiwi/__init__.py
|
SysBioChalmers/Kiwi
|
91c8d7e5e02367c119043d8d507b2a2110ad66c5
|
[
"MIT"
] | 2
|
2018-08-14T08:29:16.000Z
|
2019-01-28T14:08:05.000Z
|
kiwi/__init__.py
|
SysBioChalmers/Kiwi
|
91c8d7e5e02367c119043d8d507b2a2110ad66c5
|
[
"MIT"
] | 2
|
2021-12-21T09:26:26.000Z
|
2021-12-22T08:07:14.000Z
|
kiwi/__init__.py
|
SysBioChalmers/Kiwi
|
91c8d7e5e02367c119043d8d507b2a2110ad66c5
|
[
"MIT"
] | 3
|
2016-12-21T11:41:15.000Z
|
2019-02-05T15:44:14.000Z
|
# -*- coding: utf-8 -*-
"""Kiwi: a tool to combine gene-set analyses with biological networks.
:author: Francesco Gatto and Leif Väremo, 2014
:email: kiwi@sysbio.se
:affiliation: Department of Biological Engineering, Chalmers, Göteborg, Sweden"""
from kiwi.kiwi_module import plot
| 35.25
| 81
| 0.758865
| 39
| 282
| 5.461538
| 0.897436
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020408
| 0.131206
| 282
| 7
| 82
| 40.285714
| 0.84898
| 0.847518
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b4c34e3f7233462fc479ab28386a2e4a1b28371b
| 2,080
|
py
|
Python
|
core/models.py
|
XSonecaX/api-receita
|
9a293426771bc7bea075c4b6b37c87725720634b
|
[
"MIT"
] | null | null | null |
core/models.py
|
XSonecaX/api-receita
|
9a293426771bc7bea075c4b6b37c87725720634b
|
[
"MIT"
] | null | null | null |
core/models.py
|
XSonecaX/api-receita
|
9a293426771bc7bea075c4b6b37c87725720634b
|
[
"MIT"
] | 1
|
2021-11-27T05:46:45.000Z
|
2021-11-27T05:46:45.000Z
|
from django.db import models
class Cpf(models.Model):
NUM_CPF = models.CharField(max_length=11, primary_key=True)
NOME = models.CharField(max_length=500, blank=True, null=True)
DATA_NASCIMENTO = models.CharField(max_length=12, blank=True, null=True)
IND_SEXO = models.CharField(max_length=2, blank=True, null=True)
NOME_MAE = models.CharField(max_length=500, blank=True, null=True)
NUM_TITULO_ELEITOR = models.CharField(max_length=12, blank=True, null=True)
TIPO_LOGRADOURO = models.CharField(max_length=50, blank=True, null=True)
DESCR_LOGRADOURO = models.CharField(max_length=100, blank=True, null=True)
NUM_LOGRADOURO = models.CharField(max_length=50, blank=True, null=True)
DESCR_COMPLEMENTO_LOGRADOURO = models.CharField(max_length=800, blank=True, null=True)
NOME_BAIRRO = models.CharField(max_length=500, blank=True, null=True)
NUM_CEP = models.CharField(max_length=50, blank=True, null=True)
NOME_MUNICIPIO = models.CharField(max_length=200, blank=True, null=True)
SIGLA_UF = models.CharField(max_length=50, blank=True, null=True)
NUM_DDD = models.CharField(max_length=50, blank=True, null=True)
NUM_TELEFONE = models.CharField(max_length=50, blank=True, null=True)
NUM_FAX = models.CharField(max_length=50, blank=True, null=True)
SE_ESTRANGEIRO = models.CharField(max_length=2, blank=True, null=True)
NOME_PAIS_NACIONALIDADE = models.CharField(max_length=500, blank=True, null=True)
COD_SITUACAO_CADASTRAL = models.CharField(max_length=2, blank=True, null=True)
DESCR_SITUACAO_CADASTRAL = models.CharField(max_length=50, blank=True, null=True)
DATA_SITUACAO_CADASTRAL = models.CharField(max_length=12, blank=True, null=True)
DATA_INSCRICAO = models.CharField(max_length=12, blank=True, null=True)
ANO_OBITO = models.CharField(max_length=10, blank=True, null=True)
ANO_ULTIMA_ENTREGA_DECLARACAO = models.CharField(max_length=10, blank=True, null=True)
DATA_BASE = models.CharField(max_length=12, blank=True, null=True)
def __str__(self):
return self.NOME
| 65
| 90
| 0.761058
| 307
| 2,080
| 4.947883
| 0.208469
| 0.256748
| 0.308097
| 0.410797
| 0.784068
| 0.691903
| 0.658328
| 0.658328
| 0.658328
| 0.289664
| 0
| 0.030702
| 0.123077
| 2,080
| 32
| 91
| 65
| 0.802083
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033333
| false
| 0
| 0.033333
| 0.033333
| 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
|
b4e2eb06215cefbb754cba5a5b9e2bbff8336b99
| 83
|
py
|
Python
|
src/coloring/__main__.py
|
Nazime/coloring
|
4e519a5b440bb4af628048ec9cef2b8698128db6
|
[
"MIT"
] | 22
|
2020-07-28T19:45:32.000Z
|
2022-03-09T04:48:51.000Z
|
src/coloring/__main__.py
|
Nazime/coloring
|
4e519a5b440bb4af628048ec9cef2b8698128db6
|
[
"MIT"
] | null | null | null |
src/coloring/__main__.py
|
Nazime/coloring
|
4e519a5b440bb4af628048ec9cef2b8698128db6
|
[
"MIT"
] | 1
|
2021-11-12T19:23:59.000Z
|
2021-11-12T19:23:59.000Z
|
# Entry point
from coloring.cli import main
if __name__ == "__main__":
main()
| 13.833333
| 29
| 0.686747
| 11
| 83
| 4.454545
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.204819
| 83
| 5
| 30
| 16.6
| 0.742424
| 0.13253
| 0
| 0
| 0
| 0
| 0.114286
| 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
|
b4f4eb56b07c639e1a8ba77d836e4aeb6231b4e5
| 87
|
py
|
Python
|
src/patios/apps.py
|
ANIKIMPA/Agrobonano
|
21aada645f4d27fa15819c547d9ed1201ced30b3
|
[
"bzip2-1.0.6"
] | null | null | null |
src/patios/apps.py
|
ANIKIMPA/Agrobonano
|
21aada645f4d27fa15819c547d9ed1201ced30b3
|
[
"bzip2-1.0.6"
] | 12
|
2020-02-12T03:04:12.000Z
|
2022-02-10T08:54:59.000Z
|
src/patios/apps.py
|
ANIKIMPA/Agrobonano
|
21aada645f4d27fa15819c547d9ed1201ced30b3
|
[
"bzip2-1.0.6"
] | null | null | null |
from django.apps import AppConfig
class PatiosConfig(AppConfig):
name = 'patios'
| 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
|
3702feccbd563ed55b295ab2090269ff8a8d2e59
| 10
|
py
|
Python
|
course/__init__.py
|
inducer/courseflow
|
0f9786e3616dbedf08365d81a731f672b97ba9f5
|
[
"Unlicense"
] | 4
|
2019-04-25T21:09:39.000Z
|
2020-07-26T08:57:00.000Z
|
course/__init__.py
|
inducer/courseflow
|
0f9786e3616dbedf08365d81a731f672b97ba9f5
|
[
"Unlicense"
] | 1
|
2019-08-11T00:27:18.000Z
|
2019-08-12T17:36:42.000Z
|
course/__init__.py
|
inducer/courseflow
|
0f9786e3616dbedf08365d81a731f672b97ba9f5
|
[
"Unlicense"
] | null | null | null |
# (empty)
| 5
| 9
| 0.5
| 1
| 10
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 10
| 1
| 10
| 10
| 0.625
| 0.7
| 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
|
370dd9220bcee56a5a1b0424586772001fcef740
| 266
|
py
|
Python
|
generated-libraries/python/netapp/job/cron_month.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | 2
|
2017-03-28T15:31:26.000Z
|
2018-08-16T22:15:18.000Z
|
generated-libraries/python/netapp/job/cron_month.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
generated-libraries/python/netapp/job/cron_month.py
|
radekg/netapp-ontap-lib-get
|
6445ebb071ec147ea82a486fbe9f094c56c5c40d
|
[
"MIT"
] | null | null | null |
class CronMonth(int):
"""
Job Manager cron scheduling month. -1 represents all months and
only supported for cron schedule create and modify.
Range : [-1..11].
"""
@staticmethod
def get_api_name():
return "cron-month"
| 22.166667
| 67
| 0.609023
| 32
| 266
| 5
| 0.84375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021277
| 0.293233
| 266
| 11
| 68
| 24.181818
| 0.829787
| 0.5
| 0
| 0
| 0
| 0
| 0.091743
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0
| 0.25
| 0.75
| 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
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
3728ee6e0b27c708030744e7845ccbf90c14a6c4
| 178
|
py
|
Python
|
lib/JumpScale/grid/agentcontroller/__init__.py
|
Jumpscale/jumpscale6_core
|
0502ddc1abab3c37ed982c142d21ea3955d471d3
|
[
"BSD-2-Clause"
] | 1
|
2015-10-26T10:38:13.000Z
|
2015-10-26T10:38:13.000Z
|
lib/JumpScale/grid/agentcontroller/__init__.py
|
Jumpscale/jumpscale6_core
|
0502ddc1abab3c37ed982c142d21ea3955d471d3
|
[
"BSD-2-Clause"
] | null | null | null |
lib/JumpScale/grid/agentcontroller/__init__.py
|
Jumpscale/jumpscale6_core
|
0502ddc1abab3c37ed982c142d21ea3955d471d3
|
[
"BSD-2-Clause"
] | null | null | null |
from JumpScale import j
from .AgentControllerFactory import AgentControllerFactory
j.base.loader.makeAvailable(j, 'clients')
j.clients.agentcontroller = AgentControllerFactory()
| 35.6
| 58
| 0.848315
| 18
| 178
| 8.388889
| 0.555556
| 0.10596
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073034
| 178
| 4
| 59
| 44.5
| 0.915152
| 0
| 0
| 0
| 0
| 0
| 0.039326
| 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
|
2e9d76a75719b7711c46832406a6aafc19879499
| 676
|
py
|
Python
|
app/decorators.py
|
DXYyang/shenNeng_gasAnalysis
|
d94e2451d1938c090d1377dfbd487d0c6a649188
|
[
"MIT"
] | 1
|
2020-02-16T04:32:15.000Z
|
2020-02-16T04:32:15.000Z
|
app/decorators.py
|
DXYyang/shenNeng_gasAnalysis
|
d94e2451d1938c090d1377dfbd487d0c6a649188
|
[
"MIT"
] | null | null | null |
app/decorators.py
|
DXYyang/shenNeng_gasAnalysis
|
d94e2451d1938c090d1377dfbd487d0c6a649188
|
[
"MIT"
] | null | null | null |
from functools import wraps
from flask import abort
from flask_login import current_user
from .models import Permission
def permission_required(permission):
def decorator(f):
@wraps(f)
def decorated_function(*args,**kwargs):
if not current_user.can(permission):
abort(403)
return f(*args,**kwargs)
return decorated_function
return decorator
def admin_required(f):
return permission_required(Permission.Administrator)(f)
def customer_required(f):
return permission_required(Permission.AI_Recommend)(f)
def gas_analysis_required(f):
return permission_required(Permission.GasData_Analysis)(f)
| 33.8
| 62
| 0.727811
| 82
| 676
| 5.817073
| 0.390244
| 0.150943
| 0.234801
| 0.157233
| 0.27044
| 0.27044
| 0
| 0
| 0
| 0
| 0
| 0.005505
| 0.193787
| 676
| 19
| 63
| 35.578947
| 0.869725
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.315789
| false
| 0
| 0.210526
| 0.157895
| 0.842105
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
2edb276731ce2543130e13abb6925963875bce8c
| 95
|
py
|
Python
|
LuoguCodes/AT3693.py
|
Anguei/OI-Codes
|
0ef271e9af0619d4c236e314cd6d8708d356536a
|
[
"MIT"
] | null | null | null |
LuoguCodes/AT3693.py
|
Anguei/OI-Codes
|
0ef271e9af0619d4c236e314cd6d8708d356536a
|
[
"MIT"
] | null | null | null |
LuoguCodes/AT3693.py
|
Anguei/OI-Codes
|
0ef271e9af0619d4c236e314cd6d8708d356536a
|
[
"MIT"
] | null | null | null |
l, r = map(int, raw_input().split())
s = raw_input()
print [';NO';, ';YES';][l <= len(s) <= r]
| 23.75
| 41
| 0.505263
| 17
| 95
| 2.705882
| 0.705882
| 0.347826
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 95
| 3
| 42
| 31.666667
| 0.575
| 0
| 0
| 0
| 0
| 0
| 0.073684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2ee873d6f9f42d58dfae004cdc89d445e5381a58
| 135
|
py
|
Python
|
src/orders/apps.py
|
BergLucas/DjangoMollieExample
|
6cdc28aabe15811fbcf2f50dbaef8c96fab32eb3
|
[
"MIT"
] | 1
|
2022-01-28T12:06:45.000Z
|
2022-01-28T12:06:45.000Z
|
src/orders/apps.py
|
BergLucas/DjangoMollieExample
|
6cdc28aabe15811fbcf2f50dbaef8c96fab32eb3
|
[
"MIT"
] | null | null | null |
src/orders/apps.py
|
BergLucas/DjangoMollieExample
|
6cdc28aabe15811fbcf2f50dbaef8c96fab32eb3
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class OrdersConfig(AppConfig):
"""This type represents the app config."""
name = "orders"
| 16.875
| 46
| 0.703704
| 16
| 135
| 5.9375
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192593
| 135
| 7
| 47
| 19.285714
| 0.87156
| 0.266667
| 0
| 0
| 0
| 0
| 0.064516
| 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
|
2efc4eb61f451d3b538d17627914fb8c7de81d7a
| 724
|
py
|
Python
|
generalinfo/migrations/0007_auto_20170809_1442.py
|
Dachckol/MichalDackoTutoring
|
205654e7cdfd474400cf35a7015b213fa146a1e6
|
[
"Apache-2.0"
] | null | null | null |
generalinfo/migrations/0007_auto_20170809_1442.py
|
Dachckol/MichalDackoTutoring
|
205654e7cdfd474400cf35a7015b213fa146a1e6
|
[
"Apache-2.0"
] | 1
|
2021-06-10T18:43:43.000Z
|
2021-06-10T18:43:43.000Z
|
generalinfo/migrations/0007_auto_20170809_1442.py
|
Dachckol/MichalDackoTutoring
|
205654e7cdfd474400cf35a7015b213fa146a1e6
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-08-09 14:42
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('generalinfo', '0006_auto_20170218_1634'),
]
operations = [
migrations.RemoveField(
model_name='profile',
name='higher',
),
migrations.RemoveField(
model_name='profile',
name='joint_discount',
),
migrations.RemoveField(
model_name='profile',
name='nat5',
),
migrations.RemoveField(
model_name='profile',
name='skype_discount',
),
]
| 22.625
| 51
| 0.558011
| 66
| 724
| 5.909091
| 0.606061
| 0.215385
| 0.266667
| 0.307692
| 0.420513
| 0.420513
| 0
| 0
| 0
| 0
| 0
| 0.069959
| 0.328729
| 724
| 31
| 52
| 23.354839
| 0.73251
| 0.093923
| 0
| 0.5
| 1
| 0
| 0.153139
| 0.035222
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.083333
| 0
| 0.208333
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2c13b6ebf82cc3724f0cc10b59624e1b4571da81
| 1,906
|
py
|
Python
|
tests/core/test_configuration.py
|
KrusnikViers/NCloud
|
d98d35bcd3de6182a4e65b173ca603d2d722b56f
|
[
"MIT"
] | 1
|
2020-09-07T10:31:15.000Z
|
2020-09-07T10:31:15.000Z
|
tests/core/test_configuration.py
|
KrusnikViers/NCloud
|
d98d35bcd3de6182a4e65b173ca603d2d722b56f
|
[
"MIT"
] | null | null | null |
tests/core/test_configuration.py
|
KrusnikViers/NCloud
|
d98d35bcd3de6182a4e65b173ca603d2d722b56f
|
[
"MIT"
] | null | null | null |
import os
from pathlib import Path
from unittest import TestCase
from unittest.mock import patch
from app.core.configuration import Configuration
class TestConfiguration(TestCase):
test_configuration = Path(os.path.realpath(__file__)).parent.joinpath('data', 'configuration.json')
@patch('sys.argv', ['_', '-c', str(test_configuration)])
def test_read_from_file(self):
config = Configuration.load()
self.assertEqual(180.634, config.get('location.lat', float))
self.assertEqual(50.0, config.get('location.lon', float))
self.assertEqual('abcdef', config.get('location.ipinfo_token', str))
self.assertEqual('email@example.com', config.get('email.login', str))
self.assertEqual('password', config.get('email.password', str))
@patch('sys.argv', ['_', '-c', str(test_configuration), 'location.lat=222.22'])
def test_command_line_override(self):
config = Configuration.load()
self.assertEqual(222.22, config.get('location.lat', float))
self.assertEqual(50.0, config.get('location.lon', float))
self.assertEqual('abcdef', config.get('location.ipinfo_token', str))
self.assertEqual('email@example.com', config.get('email.login', str))
self.assertEqual('password', config.get('email.password', str))
@patch('sys.argv', ['_', '-c', str(test_configuration)])
def test_default_get(self):
config = Configuration.load()
self.assertEqual(180.634, config.get('location.lat', float))
self.assertEqual(50.0, config.get('location.lon', float))
self.assertEqual('abcdef', config.get('location.ipinfo_token', str))
self.assertEqual('email@example.com', config.get('email.login', str))
self.assertEqual('password', config.get('email.password', str))
self.assertEqual('imap.google.com', config.get('email.imap_server', str, 'imap.google.com'))
| 48.871795
| 103
| 0.682057
| 236
| 1,906
| 5.411017
| 0.241525
| 0.18794
| 0.119812
| 0.05325
| 0.713391
| 0.713391
| 0.680501
| 0.680501
| 0.680501
| 0.643696
| 0
| 0.019148
| 0.150577
| 1,906
| 38
| 104
| 50.157895
| 0.769611
| 0
| 0
| 0.59375
| 0
| 0
| 0.222455
| 0.033054
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.09375
| false
| 0.09375
| 0.15625
| 0
| 0.3125
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
2585b6d565e5f6a9268f70b94d51841c2272617c
| 1,630
|
py
|
Python
|
pyscium/commands/commands.py
|
feannag/pyscium
|
cc785aa13479cdb02a6641df68297d6638ca415f
|
[
"MIT"
] | null | null | null |
pyscium/commands/commands.py
|
feannag/pyscium
|
cc785aa13479cdb02a6641df68297d6638ca415f
|
[
"MIT"
] | 9
|
2019-12-25T03:48:51.000Z
|
2020-01-27T13:16:28.000Z
|
pyscium/commands/commands.py
|
feannag/pyscium
|
cc785aa13479cdb02a6641df68297d6638ca415f
|
[
"MIT"
] | null | null | null |
import sys
class Command(object):
def __init__(self, obj):
self.obj = obj
def execute(self):
raise NotImplementedError
# __file commands
class CreateFileCommand(Command):
def execute(self):
self.obj.create_file()
class OpenFileCommand(Command):
def execute(self):
self.obj.open_file()
class SaveFileCommand(Command):
def execute(self):
self.obj.save_file()
class CloseFileCommand(Command):
def execute(self):
self.obj.close_file()
# window commands
class InsertChCommand(Command):
def __init__(self, obj, ch):
super().__init__(obj)
self.ch = ch
def execute(self):
self.obj.ins_ch(self.ch)
# movement commands
class MoveToBeginningOfLineCommand(Command):
def execute(self):
self.obj.move_to_beginning_of_line()
class MoveToEndOfLineCommand(Command):
def execute(self):
self.obj.move_to_end_of_line()
class MoveForwardOneCharCommand(Command):
def execute(self):
self.obj.move_forward_one_char()
class MoveBackwardOneCharCommand(Command):
def execute(self):
self.obj.move_backward_one_char()
class MoveToPreviousLineCommand(Command):
def execute(self):
self.obj.move_to_previous_line()
class MoveToNextLineCommand(Command):
def execute(self):
self.obj.move_to_next_line()
# other commands
class BackspaceCommand(Command):
def execute(self):
self.obj.backspace()
class NewlineCommand(Command):
def execute(self):
self.obj.newline()
class ExitCommand(Command):
def execute(self):
sys.exit()
| 18.522727
| 44
| 0.683436
| 188
| 1,630
| 5.718085
| 0.281915
| 0.104186
| 0.195349
| 0.253953
| 0.36186
| 0.342326
| 0.186047
| 0.126512
| 0
| 0
| 0
| 0
| 0.213497
| 1,630
| 87
| 45
| 18.735632
| 0.838534
| 0.039264
| 0
| 0.294118
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.019608
| 0
| 0.647059
| 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
| 0
| 1
| 0
|
0
| 4
|
2588f87623d212cbb94074a763ddbac9aef59627
| 92
|
py
|
Python
|
Todo_List/apps.py
|
TrueBackDeveloper/CooL_TodoList
|
1e91daf6ad3e24c4511ef92ca6cc3d50a213f1a4
|
[
"MIT"
] | null | null | null |
Todo_List/apps.py
|
TrueBackDeveloper/CooL_TodoList
|
1e91daf6ad3e24c4511ef92ca6cc3d50a213f1a4
|
[
"MIT"
] | null | null | null |
Todo_List/apps.py
|
TrueBackDeveloper/CooL_TodoList
|
1e91daf6ad3e24c4511ef92ca6cc3d50a213f1a4
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class TodoListConfig(AppConfig):
name = 'Todo_List'
| 15.333333
| 33
| 0.76087
| 11
| 92
| 6.272727
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163043
| 92
| 5
| 34
| 18.4
| 0.896104
| 0
| 0
| 0
| 0
| 0
| 0.097826
| 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
|
259ad9bc46551cf039a1137241f0b5bda29b05ec
| 25,193
|
py
|
Python
|
tests/card_tests/mage_tests.py
|
anuragpapineni/Hearthbreaker-evolved-agent
|
d519d42babd93e3567000c33a381e93db065301c
|
[
"MIT"
] | null | null | null |
tests/card_tests/mage_tests.py
|
anuragpapineni/Hearthbreaker-evolved-agent
|
d519d42babd93e3567000c33a381e93db065301c
|
[
"MIT"
] | null | null | null |
tests/card_tests/mage_tests.py
|
anuragpapineni/Hearthbreaker-evolved-agent
|
d519d42babd93e3567000c33a381e93db065301c
|
[
"MIT"
] | null | null | null |
import random
import unittest
from hearthbreaker.agents.basic_agents import PredictableBot, DoNothingBot
from hearthbreaker.constants import CHARACTER_CLASS, MINION_TYPE
from hearthbreaker.game_objects import Game
from hearthbreaker.replay import SavedGame
from tests.agents.testing_agents import SpellTestingAgent, MinionPlayingAgent, MinionAttackingAgent,\
OneSpellTestingAgent, EnemySpellTestingAgent
from tests.testing_utils import generate_game_for, StackedDeck
from hearthbreaker.cards import *
class TestMage(unittest.TestCase):
def setUp(self):
random.seed(1857)
def test_ArcaneMissiles(self):
game = generate_game_for(MogushanWarden, ArcaneMissiles, MinionPlayingAgent, SpellTestingAgent)
game.play_single_turn()
game.play_single_turn()
self.assertEqual(27, game.other_player.hero.health)
game.play_single_turn()
game.play_single_turn()
game.play_single_turn()
game.play_single_turn()
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual("Mogu'shan Warden", game.current_player.minions[0].card.name)
game.play_single_turn()
# The random numbers work so that the arcane missiles hit thrice on each target
self.assertEqual(9, game.other_player.hero.health)
self.assertEqual(4, game.other_player.minions[0].health)
def test_ArcaneMissilesWithSpellPower(self):
game = SavedGame("tests/replays/card_tests/ArcaneMissilesWithSpellDamage.rep")
game.start()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(1, len(game.other_player.minions))
self.assertEqual(1, game.other_player.minions[0].health)
self.assertEqual(2, game.other_player.minions[0].calculate_max_health())
self.assertEqual(27, game.other_player.hero.health)
return game
def test_WaterElemental(self):
game = generate_game_for(WaterElemental, StonetuskBoar, PredictableBot, DoNothingBot)
for turn in range(0, 11):
game.play_single_turn()
self.assertEqual(25, game.other_player.hero.health)
self.assertFalse(game.other_player.hero.frozen_this_turn)
self.assertFalse(game.other_player.hero.frozen)
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(3, game.current_player.minions[0].calculate_attack())
self.assertEqual(6, game.current_player.minions[0].health)
self.assertEqual("Water Elemental", game.current_player.minions[0].card.name)
game.play_single_turn()
game.play_single_turn()
self.assertEqual(22, game.other_player.hero.health)
# Always false after the end of a turn
self.assertFalse(game.other_player.hero.frozen_this_turn)
self.assertTrue(game.other_player.hero.frozen)
# Now make sure that attacking the Water Elemental directly will freeze a character
random.seed(1857)
game = generate_game_for(WaterElemental, IronbarkProtector, MinionPlayingAgent, PredictableBot)
for turn in range(0, 8):
game.play_single_turn()
self.assertEqual(1, len(game.other_player.minions))
self.assertEqual(5, game.other_player.minions[0].health)
# The player won't have taken damage because of armor, and so shouldn't be frozen
self.assertEqual(30, game.current_player.hero.health)
self.assertFalse(game.current_player.hero.frozen)
game.play_single_turn()
game.play_single_turn()
self.assertEqual(28, game.current_player.hero.health)
self.assertTrue(game.current_player.hero.frozen)
def test_IceLance(self):
game = generate_game_for(IceLance, OasisSnapjaw, SpellTestingAgent, MinionPlayingAgent)
game.play_single_turn()
self.assertTrue(game.other_player.hero.frozen)
self.assertEqual(30, game.other_player.hero.health)
game.play_single_turn()
game.play_single_turn()
self.assertTrue(game.other_player.hero.frozen)
self.assertEqual(26, game.other_player.hero.health)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(1, len(game.other_player.minions))
self.assertTrue(game.other_player.minions[0].frozen)
self.assertEqual(7, game.other_player.minions[0].health)
def test_ManaWyrm(self):
deck1 = StackedDeck([ManaWyrm(), IceLance(), ManaWyrm(), IceLance(), IceLance(), IceLance()],
CHARACTER_CLASS.MAGE)
deck2 = StackedDeck([IronbeakOwl()], CHARACTER_CLASS.PALADIN)
game = Game([deck1, deck2], [SpellTestingAgent(), MinionPlayingAgent()])
game.pre_game()
game.current_player = 1
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(1, game.current_player.minions[0].calculate_attack())
self.assertEqual(3, game.current_player.minions[0].health)
self.assertEqual(3, game.current_player.minions[0].calculate_max_health())
self.assertEqual("Mana Wyrm", game.current_player.minions[0].card.name)
game.play_single_turn()
game.play_single_turn()
self.assertEqual(2, len(game.current_player.minions))
self.assertEqual(1, game.current_player.minions[0].calculate_attack())
self.assertEqual(3, game.current_player.minions[0].health)
self.assertEqual(3, game.current_player.minions[0].calculate_max_health())
self.assertEqual(2, game.current_player.minions[1].calculate_attack())
self.assertEqual(3, game.current_player.minions[1].health)
self.assertEqual(3, game.current_player.minions[1].calculate_max_health())
game.play_single_turn()
game.play_single_turn()
self.assertEqual(2, len(game.current_player.minions))
self.assertEqual(1, game.current_player.minions[0].calculate_attack())
self.assertEqual(3, game.current_player.minions[0].health)
self.assertEqual(3, game.current_player.minions[0].calculate_max_health())
self.assertEqual(5, game.current_player.minions[1].calculate_attack())
self.assertEqual(3, game.current_player.minions[1].health)
self.assertEqual(3, game.current_player.minions[1].calculate_max_health())
def test_MirrorImage(self):
game = generate_game_for(MirrorImage, StonetuskBoar, SpellTestingAgent, DoNothingBot)
game.play_single_turn()
self.assertEqual(2, len(game.current_player.minions))
self.assertEqual(0, game.current_player.minions[0].calculate_attack())
self.assertEqual(2, game.current_player.minions[0].health)
self.assertTrue(game.current_player.minions[0].taunt)
self.assertEqual("Mirror Image", game.current_player.minions[0].card.name)
self.assertEqual(0, game.current_player.minions[0].card.mana)
self.assertEqual(0, game.current_player.minions[1].calculate_attack())
self.assertEqual(2, game.current_player.minions[1].health)
self.assertTrue(game.current_player.minions[1].taunt)
self.assertEqual("Mirror Image", game.current_player.minions[1].card.name)
self.assertEqual(0, game.current_player.minions[1].card.mana)
def test_ArcaneExplosion(self):
game = generate_game_for(BloodfenRaptor, ArcaneExplosion, MinionPlayingAgent, SpellTestingAgent)
game.play_single_turn()
game.play_single_turn()
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
game.play_single_turn()
self.assertEqual(1, len(game.other_player.minions))
self.assertEqual(1, game.other_player.minions[0].health)
self.assertEqual(30, game.other_player.hero.health)
game.play_single_turn()
game.play_single_turn()
self.assertEqual(1, len(game.other_player.minions))
self.assertEqual(1, game.other_player.minions[0].health)
self.assertEqual(30, game.other_player.hero.health)
def test_Frostbolt(self):
game = generate_game_for(OasisSnapjaw, Frostbolt, MinionPlayingAgent, SpellTestingAgent)
for turn in range(0, 4):
game.play_single_turn()
self.assertTrue(game.other_player.hero.frozen)
self.assertEqual(27, game.other_player.hero.health)
for turn in range(0, 4):
game.play_single_turn()
self.assertEqual(24, game.other_player.hero.health)
self.assertEqual(1, len(game.other_player.minions))
self.assertEqual(1, game.other_player.minions[0].health)
self.assertTrue(game.other_player.minions[0].frozen)
def test_SorcerersApprentice(self):
game = generate_game_for([SorcerersApprentice, ArcaneMissiles, SorcerersApprentice, Frostbolt, Frostbolt,
Frostbolt], StonetuskBoar, SpellTestingAgent, DoNothingBot)
game.play_single_turn()
game.play_single_turn()
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(3, game.current_player.minions[0].calculate_attack())
self.assertEqual(2, game.current_player.minions[0].health)
self.assertEqual("Sorcerer's Apprentice", game.current_player.minions[0].card.name)
# Arcane missiles should also have been played, since it is now free
self.assertEqual(27, game.other_player.hero.health)
# Make sure the other frostbolts have been properly reduced
self.assertEqual(1, game.current_player.hand[1].mana_cost(game.current_player))
self.assertEqual(1, game.current_player.hand[2].mana_cost(game.current_player))
game.play_single_turn()
game.play_single_turn()
# Both Sorcer's Apprentices are killed by friendly Frostbolts.
self.assertEqual(0, len(game.current_player.minions))
# Make sure that the cards in hand are no longer reduced
self.assertEqual(2, game.current_player.hand[0].mana_cost(game.current_player))
def test_ArcaneIntellect(self):
game = generate_game_for(ArcaneIntellect, StonetuskBoar, SpellTestingAgent, DoNothingBot)
for turn in range(0, 5):
game.play_single_turn()
self.assertEqual(7, len(game.current_player.hand))
def test_FrostNova(self):
game = generate_game_for(FrostNova, StonetuskBoar, SpellTestingAgent, MinionPlayingAgent)
for turn in range(0, 5):
game.play_single_turn()
for minion in game.other_player.minions:
self.assertTrue(minion.frozen)
self.assertFalse(game.other_player.hero.frozen)
def test_Counterspell(self):
game = generate_game_for(Counterspell, Frostbolt, SpellTestingAgent, SpellTestingAgent)
for turn in range(0, 5):
game.play_single_turn()
self.assertEqual(1, len(game.current_player.secrets))
self.assertEqual("Counterspell", game.current_player.secrets[0].name)
game.play_single_turn()
self.assertFalse(game.other_player.hero.frozen)
self.assertEqual(27, game.other_player.hero.health)
# Ensure that secrets are being removed after being revealed
self.assertEqual(0, len(game.other_player.secrets))
def test_IceBarrier(self):
game = generate_game_for(IceBarrier, StonetuskBoar, SpellTestingAgent, PredictableBot)
for turn in range(0, 5):
game.play_single_turn()
self.assertEqual(1, len(game.current_player.secrets))
self.assertEqual("Ice Barrier", game.current_player.secrets[0].name)
game.play_single_turn()
# only one minion because PredictableBot will shoot its own minions if there isn't anything else to shoot.
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(7, game.other_player.hero.armor)
# Attacked twice on the first turn, then fireballed before getting the armor up
self.assertEqual(27, game.other_player.hero.health)
# Make sure we can't have two identical secrets at the same time
random.seed(1857)
game = generate_game_for(IceBarrier, StonetuskBoar, SpellTestingAgent, DoNothingBot)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(1, len(game.other_player.secrets))
self.assertEqual("Ice Barrier", game.other_player.secrets[0].name)
game.play_single_turn()
self.assertEqual(1, len(game.current_player.secrets))
self.assertEqual("Ice Barrier", game.current_player.secrets[0].name)
def test_IceBlock(self):
game = generate_game_for(IceBlock, Frostbolt, SpellTestingAgent, SpellTestingAgent)
for turn in range(0, 12):
game.play_single_turn()
self.assertEqual(game.other_player.hero.health, 3)
self.assertEqual(1, len(game.other_player.secrets))
game.play_single_turn()
game.play_single_turn()
self.assertEqual(3, game.other_player.hero.health)
self.assertEqual(0, len(game.other_player.secrets))
def test_MirrorEntity(self):
game = generate_game_for([StonetuskBoar, MirrorEntity], IronfurGrizzly, SpellTestingAgent, MinionPlayingAgent)
for turn in range(0, 5):
game.play_single_turn()
self.assertEqual(1, len(game.current_player.secrets))
self.assertEqual("Mirror Entity", game.current_player.secrets[0].name)
game.play_single_turn()
self.assertEqual(2, len(game.other_player.minions))
self.assertEqual("Ironfur Grizzly", game.other_player.minions[1].card.name)
self.assertEqual(game.other_player, game.other_player.minions[1].player)
self.assertEqual(1, game.other_player.minions[1].index)
def test_Spellbender(self):
game = generate_game_for([Spellbender, Wisp], Moonfire, SpellTestingAgent, SpellTestingAgent)
for turn in range(0, 6):
game.play_single_turn()
# The moonfire should have been re-directed to the Spellbender, which should have taken one damage
self.assertEqual(2, len(game.other_player.minions))
self.assertEqual(2, game.other_player.minions[1].health)
self.assertEqual(1, game.other_player.minions[1].calculate_attack())
self.assertEqual("Spellbender", game.other_player.minions[1].card.name)
# Now make sure it won't work when the hero is targeted
random.seed(1857)
game = generate_game_for(Spellbender, Moonfire, SpellTestingAgent, SpellTestingAgent)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(0, len(game.other_player.minions))
self.assertEqual(1, len(game.other_player.secrets))
self.assertEqual(23, game.other_player.hero.health)
# Now make sure it doesn't activate when a non-targeted spell is used
random.seed(1857)
game = generate_game_for(Spellbender, ArcaneIntellect, SpellTestingAgent, SpellTestingAgent)
for turn in range(0, 6):
game.play_single_turn()
# The arcane intellect should not have caused the Spellbender to activate
self.assertEqual(0, len(game.other_player.minions))
self.assertEqual(1, len(game.other_player.secrets))
def test_Vaporize(self):
game = generate_game_for(Vaporize, FaerieDragon, SpellTestingAgent, MinionAttackingAgent)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(0, len(game.other_player.secrets))
self.assertEqual(30, game.other_player.hero.health)
random.seed(1857)
game = generate_game_for(Vaporize, Swipe, SpellTestingAgent, PredictableBot)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(28, game.other_player.hero.health)
self.assertEqual(1, len(game.other_player.secrets))
self.assertFalse(game.current_player.hero.dead)
def test_KirinTorMage(self):
game = generate_game_for([KirinTorMage, Vaporize, Spellbender], StonetuskBoar, SpellTestingAgent, DoNothingBot)
for turn in range(0, 5):
game.play_single_turn()
self.assertEqual(1, len(game.current_player.secrets))
self.assertEqual("Vaporize", game.current_player.secrets[0].name)
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual("Kirin Tor Mage", game.current_player.minions[0].card.name)
self.assertEqual(3, game.current_player.hand[0].mana_cost(game.current_player))
self.assertEqual("Spellbender", game.current_player.hand[0].name)
random.seed(1857)
game = generate_game_for([KirinTorMage, Vaporize], StonetuskBoar, OneSpellTestingAgent, DoNothingBot)
for turn in range(0, 5):
game.play_single_turn()
self.assertEqual(0, len(game.current_player.secrets))
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual("Kirin Tor Mage", game.current_player.minions[0].card.name)
self.assertEqual(3, game.current_player.hand[2].mana_cost(game.current_player))
self.assertEqual("Vaporize", game.current_player.hand[2].name)
def test_EtherealArcanist(self):
game = generate_game_for([Spellbender, EtherealArcanist], StonetuskBoar, SpellTestingAgent, DoNothingBot)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(1, len(game.other_player.secrets))
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(5, game.current_player.minions[0].calculate_attack())
self.assertEqual(5, game.current_player.minions[0].health)
self.assertEqual(5, game.current_player.minions[0].calculate_max_health())
game.play_single_turn()
game.play_single_turn()
self.assertEqual(7, game.current_player.minions[0].calculate_attack())
self.assertEqual(7, game.current_player.minions[0].health)
self.assertEqual(7, game.current_player.minions[0].calculate_max_health())
game.current_player.minions[0].silence()
self.assertEqual(3, game.current_player.minions[0].calculate_attack())
self.assertEqual(3, game.current_player.minions[0].health)
self.assertEqual(3, game.current_player.minions[0].calculate_max_health())
game.play_single_turn()
game.play_single_turn()
self.assertEqual(3, game.current_player.minions[0].calculate_attack())
self.assertEqual(3, game.current_player.minions[0].health)
self.assertEqual(3, game.current_player.minions[0].calculate_max_health())
# Test when the player has no secrets at all
random.seed(1857)
game = generate_game_for(EtherealArcanist, StonetuskBoar, SpellTestingAgent, DoNothingBot)
for turn in range(0, 7):
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual(3, game.current_player.minions[0].calculate_attack())
self.assertEqual(3, game.current_player.minions[0].health)
self.assertEqual(3, game.current_player.minions[0].calculate_max_health())
def test_ConeOfCold(self):
game = generate_game_for(ConeOfCold, [StonetuskBoar, BloodfenRaptor, BloodfenRaptor], SpellTestingAgent,
MinionPlayingAgent)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(3, len(game.current_player.minions))
game.play_single_turn()
self.assertEqual(3, len(game.other_player.minions))
self.assertTrue(game.other_player.minions[0].frozen)
self.assertEqual(1, game.other_player.minions[0].health)
self.assertTrue(game.other_player.minions[1].frozen)
self.assertEqual(1, game.other_player.minions[1].health)
self.assertFalse(game.other_player.minions[2].frozen)
self.assertEqual(1, game.other_player.minions[2].health)
self.assertEqual(30, game.other_player.hero.health)
# Now check to ensure that it will work when targeting the other end of the minion list
game.current_player.agent.choose_target = lambda targets: targets[len(targets) - 1]
game.play_single_turn()
game.play_single_turn()
# Neither of the minions which survive Cone of Cold will be frozen, since they weren't touched this round
self.assertEqual(2, len(game.other_player.minions))
self.assertFalse(game.other_player.minions[0].frozen)
self.assertFalse(game.other_player.minions[1].frozen)
def test_Fireball(self):
game = generate_game_for([Fireball, KoboldGeomancer], StonetuskBoar, EnemySpellTestingAgent, DoNothingBot)
for turn in range(0, 7):
game.play_single_turn()
self.assertEqual(24, game.other_player.hero.health)
for turn in range(0, 4):
game.play_single_turn()
self.assertEqual(17, game.other_player.hero.health)
def test_Polymorph(self):
game = generate_game_for(MogushanWarden, Polymorph, MinionPlayingAgent, SpellTestingAgent)
for turn in range(0, 7):
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertTrue(game.current_player.minions[0].taunt)
self.assertEqual(1, game.current_player.minions[0].calculate_attack())
self.assertEqual(7, game.current_player.minions[0].health)
self.assertEqual("Mogu'shan Warden", game.current_player.minions[0].card.name)
game.play_single_turn()
self.assertEqual(1, len(game.other_player.minions))
self.assertFalse(game.other_player.minions[0].taunt)
self.assertEqual(1, game.other_player.minions[0].calculate_attack())
self.assertEqual(1, game.other_player.minions[0].health)
self.assertEqual("Sheep", game.other_player.minions[0].card.name)
self.assertEqual(MINION_TYPE.BEAST, game.other_player.minions[0].card.minion_type)
def test_Blizzard(self):
game = generate_game_for(Blizzard, MogushanWarden, SpellTestingAgent, MinionPlayingAgent)
for turn in range(0, 10):
game.play_single_turn()
self.assertEqual(2, len(game.current_player.minions))
self.assertEqual(7, game.current_player.minions[0].health)
self.assertEqual(7, game.current_player.minions[1].health)
self.assertFalse(game.current_player.minions[0].frozen)
self.assertFalse(game.current_player.minions[1].frozen)
game.play_single_turn()
self.assertEqual(2, len(game.other_player.minions))
self.assertEqual(5, game.other_player.minions[0].health)
self.assertEqual(5, game.other_player.minions[1].health)
self.assertTrue(game.other_player.minions[0].frozen)
self.assertTrue(game.other_player.minions[1].frozen)
def test_Flamestrike(self):
game = generate_game_for(Flamestrike, MogushanWarden, SpellTestingAgent, MinionPlayingAgent)
for turn in range(0, 12):
game.play_single_turn()
self.assertEqual(3, len(game.current_player.minions))
self.assertEqual(7, game.current_player.minions[0].health)
self.assertEqual(7, game.current_player.minions[1].health)
self.assertEqual(7, game.current_player.minions[2].health)
game.play_single_turn()
self.assertEqual(3, len(game.other_player.minions))
self.assertEqual(3, game.other_player.minions[0].health)
self.assertEqual(3, game.other_player.minions[1].health)
self.assertEqual(3, game.other_player.minions[2].health)
def test_Pyroblast(self):
game = generate_game_for(Pyroblast, StonetuskBoar, SpellTestingAgent, DoNothingBot)
for turn in range(0, 18):
game.play_single_turn()
self.assertEqual(30, game.current_player.hero.health)
game.play_single_turn()
self.assertEqual(20, game.other_player.hero.health)
def test_ArchmageAntonidas(self):
game = generate_game_for([ArchmageAntonidas, Vaporize], StonetuskBoar, SpellTestingAgent, DoNothingBot)
for turn in range(0, 12):
game.play_single_turn()
game.play_single_turn()
self.assertEqual(1, len(game.current_player.minions))
self.assertEqual("Archmage Antonidas", game.current_player.minions[0].card.name)
game.play_single_turn()
game.play_single_turn()
self.assertEqual("Fireball", game.current_player.hand[9].name)
def test_Duplicate(self):
game = generate_game_for([BloodfenRaptor, Duplicate], ShadowBolt, MinionPlayingAgent, SpellTestingAgent)
for turn in range(0, 6):
game.play_single_turn()
self.assertEqual(6, len(game.other_player.hand))
self.assertEqual("Bloodfen Raptor", game.other_player.hand[4].name)
self.assertEqual("Bloodfen Raptor", game.other_player.hand[5].name)
self.assertEqual(0, len(game.other_player.secrets))
| 44.432099
| 119
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0
| 4
|
259da6c64ac806012f0b308f19a707a26b2be6eb
| 47
|
py
|
Python
|
jft/logging.py
|
isimluk/jft
|
998a6d4248f6b4757f9e0cb281c9b2cb51d3558f
|
[
"Unlicense"
] | null | null | null |
jft/logging.py
|
isimluk/jft
|
998a6d4248f6b4757f9e0cb281c9b2cb51d3558f
|
[
"Unlicense"
] | null | null | null |
jft/logging.py
|
isimluk/jft
|
998a6d4248f6b4757f9e0cb281c9b2cb51d3558f
|
[
"Unlicense"
] | null | null | null |
import logging
log = logging.getLogger('jft')
| 11.75
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0
| 4
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25a4569db126eb31566e1a305c3cebfc3b1fe76b
| 10,974
|
py
|
Python
|
__init__.py
|
Nadro-J/FoldingAtHome_front-end
|
a169b21c158876421ba94e609b8d6c5a3f4a4878
|
[
"MIT"
] | 1
|
2021-05-21T17:51:36.000Z
|
2021-05-21T17:51:36.000Z
|
__init__.py
|
bitgreen/FatH-frontend
|
a169b21c158876421ba94e609b8d6c5a3f4a4878
|
[
"MIT"
] | null | null | null |
__init__.py
|
bitgreen/FatH-frontend
|
a169b21c158876421ba94e609b8d6c5a3f4a4878
|
[
"MIT"
] | null | null | null |
from flask import Flask, render_template
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.sql import func
from sqlalchemy.sql import desc
from flask import Flask, jsonify
from datetime import timedelta
from flask import Response
import json
from cryptography.fernet import Fernet
import os
root_path = os.path.dirname(os.path.realpath(__file__))
class Cryptography:
def __init__(self, public_key):
self.public_key = public_key
def decrypt_pubkey(self):
try:
with open(f"/{os.path.dirname(os.path.realpath(__file__))}/WPK.key") as key:
private_key = Fernet(key.readline().encode('utf-8'))
string = private_key.decrypt(self.public_key.encode("utf-8"))
return string.decode("utf-8")
except Exception as decrypt_error:
return decrypt_error
app = Flask(__name__)
with open(f"/{os.path.dirname(os.path.realpath(__file__))}/config.json") as config:
config = json.load(config)
sql_server = Cryptography(config['sql-connection'])
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['SQLALCHEMY_DATABASE_URI'] = sql_server.decrypt_pubkey()
db = SQLAlchemy(app)
# transaction SQL table
class transaction_audit(db.Model):
txid = db.Column(db.String(125), primary_key=True)
transacted = db.Column(db.String(125), unique=False)
total_workers = db.Column(db.String(125), unique=False)
timestamp = db.Column(db.String(125), unique=False)
class fath_team_stats(db.Model):
wus = db.Column(db.String(125), primary_key=True)
rank = db.Column(db.String(125), unique=False)
active_50 = db.Column(db.String(125), unique=False)
lastupdate = db.Column(db.String(125), unique=False)
class fath_team_stats_detailed(db.Model):
rank = db.Column(db.String(125), primary_key=True)
active_users = db.Column(db.String(125), unique=False)
total_users = db.Column(db.String(125), unique=False)
change_rank_24hr = db.Column(db.String(125), unique=False)
points_24hr_avg = db.Column(db.String(125), unique=False)
points_last_24hr = db.Column(db.String(125), unique=False)
points_update = db.Column(db.String(125), unique=False)
points_today = db.Column(db.String(125), unique=False)
points_week = db.Column(db.String(125), unique=False)
timestamp = db.Column(db.String(125), unique=False)
@app.route('/')
def index():
team_stats = fath_team_stats.query.order_by(fath_team_stats.lastupdate.desc()).first()
team_stats_detailed = fath_team_stats_detailed.query.order_by(fath_team_stats_detailed.timestamp.desc()).first()
# Team stats (used to calculate the different between the last
stats = fath_team_stats.query.with_entities(
fath_team_stats.lastupdate.distinct().label("lastupdate"), # 0
fath_team_stats.wus, # 1
fath_team_stats.rank, # 2
fath_team_stats.active_50 # 3
)\
.order_by(fath_team_stats.lastupdate.desc())\
.limit(2)\
.all()
detailed_stats = fath_team_stats_detailed.query.with_entities(
fath_team_stats_detailed.timestamp.distinct().label("timestamp"), # 0
fath_team_stats_detailed.active_users # 1
)\
.order_by(fath_team_stats_detailed.timestamp.desc())\
.limit(2)\
.all()
wus_diff = stats[0][1] - stats[1][1]
active_user_diff = detailed_stats[0][1] - detailed_stats[1][1]
# Dates
timestamp = transaction_audit.query.order_by(transaction_audit.timestamp.desc()).first()
yesterday = timestamp.timestamp - timedelta(days=1)
# All transactions that have happened in the last 24hrs
_24hr_txs = transaction_audit.query.filter(
transaction_audit.timestamp > yesterday
).order_by(
transaction_audit.timestamp.desc())
# Calculate 24hrs volume (to be changes into sqlalchemy query)
n = 0
for i in _24hr_txs:
n = n + i.transacted
# Total amount of BitGreen distributed since the beginning
total_distributed = transaction_audit.query.with_entities(
func.sum(transaction_audit.transacted).label("total")
).first()
return render_template("index.html",
sum='{0:,.2f}'.format(n),
transacted='{0:,.2f}'.format(total_distributed.total),
work_units='{:,}'.format(team_stats.wus),
wus_diff = wus_diff,
active_workers=team_stats_detailed.active_users,
active_workers_diff=active_user_diff
)
@app.route('/folding')
def transactions():
'''
Populates transactions.html with data
Returns:
The last 24hrs of transactions carried out by the controller.
'''
team_stats = fath_team_stats.query.order_by(fath_team_stats.lastupdate.desc()).first()
team_stats_detailed = fath_team_stats_detailed.query.order_by(fath_team_stats_detailed.timestamp.desc()).first()
# Total amount of BitGreen distributed since the beginning
total_distributed = transaction_audit.query.with_entities(
func.sum(transaction_audit.transacted).label("total")
).first()
# Team stats (used to calculate the different between the last
stats = fath_team_stats.query.with_entities(
fath_team_stats.lastupdate.distinct().label("lastupdate"), # 0
fath_team_stats.wus, # 1
fath_team_stats.rank, # 2
fath_team_stats.active_50 # 3
)\
.order_by(fath_team_stats.lastupdate.desc())\
.limit(2)\
.all()
detailed_stats = fath_team_stats_detailed.query.with_entities(
fath_team_stats_detailed.timestamp.distinct().label("timestamp"), # 0
fath_team_stats_detailed.active_users # 1
)\
.order_by(fath_team_stats_detailed.timestamp.desc())\
.limit(2)\
.all()
rank_diff = stats[1][2] - stats[0][2]
wus_diff = stats[0][1] - stats[1][1]
active_user_diff = detailed_stats[0][1] - detailed_stats[1][1]
# Dates
timestamp = transaction_audit.query.order_by(transaction_audit.timestamp.desc()).first()
yesterday = timestamp.timestamp - timedelta(days=1)
# All transactions that have happened in the last 24hrs
_24hr_txs = transaction_audit.query.filter(
transaction_audit.timestamp > yesterday
).order_by(
transaction_audit.timestamp.desc())
# Calculate 24hrs volume (to be changes into sqlalchemy query)
n = 0
for i in _24hr_txs:
n = n + i.transacted
return render_template("folding.html",
wallet_txs=_24hr_txs,
sum='{0:,.2f}'.format(n),
work_units='{:,}'.format(team_stats.wus),
team_rank=team_stats.rank,
transacted='{0:,.2f}'.format(total_distributed.total),
rank_diff=rank_diff,
wus_diff=wus_diff,
active_workers=team_stats_detailed.active_users,
active_workers_diff=active_user_diff
)
@app.route('/help')
def help():
return render_template("help.html")
@app.route('/faq')
def faq():
return render_template("faq.html")
## Generate .CSV outout for user to download
@app.route('/fah_transactions_7Days.csv')
def generate_7days_csv():
'''
Generate .csv file for user to download
Returns:
The last 7 days of transactions carried out by the controller.
'''
def generate():
latest_timestamp = transaction_audit.query.order_by(transaction_audit.timestamp.desc()).first()
yesterday = latest_timestamp.timestamp - timedelta(days=7)
_7day_txs = transaction_audit.query.filter(transaction_audit.timestamp > yesterday).order_by(
transaction_audit.timestamp.desc())
yield ','.join(['txid', 'transacted', 'total_workers', 'timestamp']) + '\n'
for row in _7day_txs:
yield ','.join([str(row.txid), str(row.transacted), str(row.total_workers), str(row.timestamp)]) + '\n'
return Response(generate(), mimetype='text/csv')
@app.route('/fah_transactions_14Days.csv')
def generate_14days_csv():
'''
Generate .csv file for user to download
Returns:
The last 7 days of transactions carried out by the controller.
'''
def generate():
latest_timestamp = transaction_audit.query.order_by(transaction_audit.timestamp.desc()).first()
yesterday = latest_timestamp.timestamp - timedelta(days=14)
_14day_txs = transaction_audit.query.filter(transaction_audit.timestamp > yesterday).order_by(
transaction_audit.timestamp.desc())
yield ','.join(['txid', 'transacted', 'total_workers', 'timestamp']) + '\n'
for row in _14day_txs:
yield ','.join([str(row.txid), str(row.transacted), str(row.total_workers), str(row.timestamp)]) + '\n'
return Response(generate(), mimetype='text/csv')
@app.route('/fah_transactions_1Month.csv')
def generate_1month_csv():
'''
Generate .csv file for user to download
Returns:
The last 31 days of transactions carried out by the controller.
'''
def generate():
latest_timestamp = transaction_audit.query.order_by(transaction_audit.timestamp.desc()).first()
yesterday = latest_timestamp.timestamp - timedelta(days=31)
_1month_txs = transaction_audit.query.filter(transaction_audit.timestamp > yesterday).order_by(transaction_audit.timestamp.desc())
yield ','.join(['txid', 'transacted', 'total_workers', 'timestamp']) + '\n'
for row in _1month_txs:
yield ','.join([str(row.txid), str(row.transacted), str(row.total_workers), str(row.timestamp)]) + '\n'
return Response(generate(), mimetype='text/csv')
if __name__ == '__main__':
# Method to be implemented into the back-end which will deprecate the use of psycopg2
# in favor of flask_sqlalchemy.
# > postgresql://USERNAME:PASSWORD@SQLSERVER:5432/DATABASE
app.run(host='0.0.0.0')
| 41.411321
| 139
| 0.613541
| 1,278
| 10,974
| 5.035994
| 0.151017
| 0.057334
| 0.060597
| 0.044748
| 0.767091
| 0.763052
| 0.753418
| 0.720789
| 0.671535
| 0.659105
| 0
| 0.021534
| 0.276381
| 10,974
| 264
| 140
| 41.568182
| 0.788943
| 0.109987
| 0
| 0.533708
| 0
| 0
| 0.06256
| 0.026431
| 0
| 0
| 0
| 0
| 0
| 1
| 0.067416
| false
| 0
| 0.05618
| 0.011236
| 0.297753
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
25aa86e5de37667e6abea2251b434b40ddad7856
| 86
|
py
|
Python
|
sn_server/sn_api/apps.py
|
Sunkek/DreamTeam-Test-Assignment
|
d4655f5a6361dc783d8be793c47e9cb18cb5b30a
|
[
"MIT"
] | null | null | null |
sn_server/sn_api/apps.py
|
Sunkek/DreamTeam-Test-Assignment
|
d4655f5a6361dc783d8be793c47e9cb18cb5b30a
|
[
"MIT"
] | 2
|
2021-03-30T12:41:36.000Z
|
2021-06-04T22:23:09.000Z
|
sn_server/sn_api/apps.py
|
Sunkek/DreamTeam-Test-Assignment
|
d4655f5a6361dc783d8be793c47e9cb18cb5b30a
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class SnApiConfig(AppConfig):
name = 'sn_api'
| 14.333333
| 33
| 0.744186
| 11
| 86
| 5.727273
| 0.909091
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.174419
| 86
| 5
| 34
| 17.2
| 0.887324
| 0
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| 0.069767
| 0
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| 1
| 0
| false
| 0
| 0.333333
| 0
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| 0
| null | 0
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| 0
| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
25b563824dee77df09caae05c3c22f9617e231a9
| 9,912
|
py
|
Python
|
trab1.py
|
andreus89/trabalho_python1
|
2b6be54076b7984da54db1c624e078d651ba5b91
|
[
"Apache-2.0"
] | null | null | null |
trab1.py
|
andreus89/trabalho_python1
|
2b6be54076b7984da54db1c624e078d651ba5b91
|
[
"Apache-2.0"
] | null | null | null |
trab1.py
|
andreus89/trabalho_python1
|
2b6be54076b7984da54db1c624e078d651ba5b91
|
[
"Apache-2.0"
] | null | null | null |
import sys
import matplotlib.pyplot as plt
import numpy as np
def isReal(txt):
try:
float(txt)
return True
except ValueError:
return False
#dicionários
med_dic={1:{'ID':1,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
2:{'ID':2,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
3:{'ID':3,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
4:{'ID':4,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
5:{'ID':5,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
6:{'ID':6,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
7:{'ID':7,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
8:{'ID':8,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
9:{'ID':9,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}},
10:{'ID':10,'Nome Comercial':0,'Composto principal':0,'Fórmula Química':0,'Meia-vida de eliminação':0,'Número de comprimidos por embalagem':0,'Preço da embalagem em 3 fornecedores':{'A':0,'B':0,'C':0},'Quantidade do composto principal por comprimido':0,'Dose diária para um adulto':0,'As 3 reações adversa mais comuns':{'A':0,'B':0,'C':0}}
}
#listas
nc_list=[]
cp_list=[]
fq_list=[]
mde_list=[]
nce_list=[]
pef_list=[]
mpef_list=[]
qcc_list=[]
dda_list=[]
rac_list=[]
mqcc_list=[]
#input
for i in range(1,11):
while True:
med_dic[i]['Nome Comercial']=(input('Nome Comercial?'))
nc_list.append(med_dic[i]['Nome Comercial'])
nc=med_dic[i]['Nome Comercial']
if nc == "exit":
sys.exit('Parada abrupta do programa!')
elif nc.isalpha():
break
print("Valor inválido!")
while True:
med_dic[i]['Composto principal']=input('Composto principal?')
cp_list.append(med_dic[i]['Composto principal'])
cp=med_dic[i]['Composto principal']
if cp == "exit":
sys.exit('Parada abrupta do programa!')
elif cp.isalpha():
break
print("Valor inválido!")
while True:
med_dic[i]['Fórmula Química']=input('Fórmula Química?')
fq_list.append(med_dic[i]['Fórmula Química'])
fq=med_dic[i]['Fórmula Química']
if fq == "exit":
sys.exit('Parada abrupta do programa!')
elif fq.isalnum():
break
print("Valor inválido!")
while True:
med_dic[i]['Meia-vida de eliminação']=input('Meia-vida de eliminação (horas)?')
mde_list.append(med_dic[i]['Meia-vida de eliminação'])
mde=med_dic[i]['Meia-vida de eliminação']
if mde == "exit":
sys.exit('Parada abrupta do programa!')
elif mde.isdigit():
break
print("Valor inválido!")
while True:
med_dic[i]['Número de comprimidos por embalagem']=input('Número de comprimidos por embalagem?')
nce_list.append(med_dic[i]['Número de comprimidos por embalagem'])
nce=med_dic[i]['Número de comprimidos por embalagem']
if nce == "exit":
sys.exit('Parada abrupta do programa!')
elif nce.isdigit():
break
print("Valor inválido!")
while True:
try:
med_dic[i]['Preço da embalagem em 3 fornecedores']['A']=float(input('Preço da embalagem em 3 fornecedores? Embalagem A: R$'))
a=med_dic[i]['Preço da embalagem em 3 fornecedores']['A']
break
except ValueError:
print("Valor inválido!")
continue
while True:
try:
med_dic[i]['Preço da embalagem em 3 fornecedores']['B']=float(input('Preço da embalagem em 3 fornecedores? Embalagem B: R$'))
b=med_dic[i]['Preço da embalagem em 3 fornecedores']['B']
break
except ValueError:
print("Valor inválido!")
continue
while True:
try:
med_dic[i]['Preço da embalagem em 3 fornecedores']['C']=float(input('Preço da embalagem em 3 fornecedores? Embalagem C: R$'))
c=med_dic[i]['Preço da embalagem em 3 fornecedores']['C']
break
except ValueError:
print("Valor inválido!")
continue
mpef=(a+b+c)/3
mpef_list.append(mpef)
while True:
try:
med_dic[i]['Quantidade do composto principal por comprimido']=float(input('Quantidade do composto principal por comprimido?(em mg)'))
qcc_list.append(med_dic[i]['Quantidade do composto principal por comprimido'])
qcc=med_dic[i]['Quantidade do composto principal por comprimido']
break
except ValueError:
print("Valor inválido!")
continue
mqcc=mpef/qcc
mqcc_list.append(mqcc)
while True:
med_dic[i]['Dose diária para um adulto']=input('Dose diária para um adulto?(em mg)')
dda_list.append(med_dic[i]['Dose diária para um adulto'])
dda=med_dic[i]['Dose diária para um adulto']
if dda == "exit":
sys.exit('Parada abrupta do programa!')
elif isReal(dda):
break
print("Valor inválido!")
while True:
med_dic[i]['As 3 reações adversa mais comuns']['A']=input('As 3 reações adversas mais comuns? Reação A: ')
a=med_dic[i]['As 3 reações adversa mais comuns']['A']
if a == "exit":
sys.exit('Parada abrupta do programa!')
elif a.isalpha():
break
print("Valor inválido!")
while True:
med_dic[i]['As 3 reações adversa mais comuns']['B']=input('As 3 reações adversas mais comuns? Reação B: ')
b=med_dic[i]['As 3 reações adversa mais comuns']['B']
if b == "exit":
sys.exit('Parada abrupta do programa!')
elif b.isalpha():
break
print("Valor inválido!")
while True:
med_dic[i]['As 3 reações adversa mais comuns']['C']=input('As 3 reações adversas mais comuns? Reação C: ')
c=med_dic[i]['As 3 reações adversa mais comuns']['C']
if c == "exit":
sys.exit('Parada abrupta do programa!')
elif c.isalpha():
break
print("Valor inválido!")
rac_list.append(med_dic[i]['As 3 reações adversa mais comuns'])
if i==10:
break
else:
continuar=input("Digite 'p' para parar: ")
if continuar == "p":
break
#gráfico 1
fig, ax = plt.subplots()
index = np.arange(i)
bar_width = 0.15
opacity = 0.8
rects1 = plt.bar(index, mpef_list, bar_width,
alpha=opacity,
color='r',
label='Média de Preço')
plt.xlabel('Medicamentos')
plt.ylabel('Reais(R$)')
plt.title('Valores por Medicamento')
plt.xticks(index, (nc_list))
plt.legend()
plt.tight_layout()
plt.show()
#gráfico 2
fig1, ax1 = plt.subplots()
index = np.arange(i)
bar_width = 0.15
opacity = 0.8
rects1 = plt.bar(index, mqcc_list, bar_width,
alpha=opacity,
color='r',
label='Média por 1 mg')
plt.xlabel('Medicamentos')
plt.ylabel('Reais(R$)')
plt.title('Média de Preço por Miligramas do Componente Principal')
plt.xticks(index, (nc_list))
plt.legend()
plt.tight_layout()
plt.show()
| 44.850679
| 348
| 0.607143
| 1,415
| 9,912
| 4.20636
| 0.100353
| 0.035282
| 0.039987
| 0.013441
| 0.876512
| 0.820901
| 0.805612
| 0.771169
| 0.661458
| 0.564516
| 0
| 0.028378
| 0.239205
| 9,912
| 220
| 349
| 45.054545
| 0.760907
| 0.004036
| 0
| 0.467391
| 0
| 0
| 0.484399
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.005435
| false
| 0
| 0.016304
| 0
| 0.032609
| 0.070652
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
25bc530544cc6d58b13e441ba2e6d567142e49fd
| 132
|
py
|
Python
|
src/conquista/admin.py
|
roginaldosemog/unbind
|
ab3e43aa03f49ba00fc048fa0846e8bf9d533961
|
[
"MIT"
] | null | null | null |
src/conquista/admin.py
|
roginaldosemog/unbind
|
ab3e43aa03f49ba00fc048fa0846e8bf9d533961
|
[
"MIT"
] | 93
|
2019-04-05T12:15:34.000Z
|
2022-03-11T23:47:11.000Z
|
src/conquista/admin.py
|
roginaldosemog/unbind
|
ab3e43aa03f49ba00fc048fa0846e8bf9d533961
|
[
"MIT"
] | 6
|
2019-04-16T02:07:52.000Z
|
2019-09-20T22:53:59.000Z
|
from django.contrib import admin
from conquista.models import Conquista
# Register your models here.
admin.site.register(Conquista)
| 26.4
| 38
| 0.833333
| 18
| 132
| 6.111111
| 0.611111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106061
| 132
| 4
| 39
| 33
| 0.932203
| 0.19697
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
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| 0
| null | 0
| 0
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| 0
| 0
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| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
25d6637d9fc639ed48a93f6d3e2bb4953493b1bf
| 1,244
|
py
|
Python
|
app/__init__.py
|
ExiledNarwal28/glo-2005-project
|
3b5b5f9cdcfe53d1e6e702609587068c4bd3310d
|
[
"MIT"
] | null | null | null |
app/__init__.py
|
ExiledNarwal28/glo-2005-project
|
3b5b5f9cdcfe53d1e6e702609587068c4bd3310d
|
[
"MIT"
] | null | null | null |
app/__init__.py
|
ExiledNarwal28/glo-2005-project
|
3b5b5f9cdcfe53d1e6e702609587068c4bd3310d
|
[
"MIT"
] | 1
|
2020-05-21T10:07:07.000Z
|
2020-05-21T10:07:07.000Z
|
from flask import Flask, render_template
from flask_bcrypt import Bcrypt
from flask_bootstrap import Bootstrap
from flask_cors import CORS
from app.admin.ui.views import admin_blueprint
from app.auth.ui.views import auth_blueprint
from app.equipments.ui.views import equipment_blueprint
from app.practice_centers.ui.views import practice_center_blueprint
from app.search.ui.views import search_blueprint
from app.shops.ui.views import shop_blueprint
from app.sports.ui.views import sport_blueprint
from app.users.ui.views import user_blueprint
app = Flask(__name__, instance_relative_config=True)
app.config.from_pyfile('flask.cfg')
bcrypt = Bcrypt(app)
cors = CORS(app, resources={r"/*": {"origins": "*"}})
Bootstrap(app)
app.register_blueprint(admin_blueprint)
app.register_blueprint(search_blueprint)
app.register_blueprint(sport_blueprint)
app.register_blueprint(practice_center_blueprint)
app.register_blueprint(shop_blueprint)
app.register_blueprint(equipment_blueprint)
app.register_blueprint(user_blueprint)
app.register_blueprint(auth_blueprint)
@app.errorhandler(400)
def page_bad_request():
return render_template('400.html'), 400
@app.errorhandler(404)
def page_not_found():
return render_template('404.html'), 404
| 30.341463
| 67
| 0.828778
| 178
| 1,244
| 5.544944
| 0.269663
| 0.109422
| 0.10537
| 0.205674
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015748
| 0.08119
| 1,244
| 40
| 68
| 31.1
| 0.847769
| 0
| 0
| 0
| 0
| 0
| 0.028135
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.064516
| false
| 0
| 0.387097
| 0.064516
| 0.516129
| 0.516129
| 0
| 0
| 0
| null | 0
| 0
| 1
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| 0
| 0
| 0
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 4
|
d34a7f61f5e56ecdf5e3577612662f4a7232f632
| 933
|
py
|
Python
|
fjord/base.py
|
dkuntz2/fjord
|
f38cc6e5e07c0f479b3589dbf7a2056c3f77b0a1
|
[
"BSD-3-Clause"
] | null | null | null |
fjord/base.py
|
dkuntz2/fjord
|
f38cc6e5e07c0f479b3589dbf7a2056c3f77b0a1
|
[
"BSD-3-Clause"
] | null | null | null |
fjord/base.py
|
dkuntz2/fjord
|
f38cc6e5e07c0f479b3589dbf7a2056c3f77b0a1
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
class Parser(object):
def __init__(self, options):
self.options = options
self.setup()
def parse(self, content):
raise NotImplementedError('A parser must implement parse.')
def setup(self):
pass
class Renderer(object):
def __init__(self, path, options, globals_ = {}):
self.path = path
self.options = options
self.globals = globals_
self.setup()
def from_string(self, source, vars_ = {}):
raise NotImplementedError('A renderer must implement from_string.')
def register(self, key, value):
raise NotImplementedError('A renderer must implement register.')
def render(self, template, vars_ = {}):
raise NotImplementedError('A renderer must implement render.')
def setup(self):
pass
| 23.923077
| 75
| 0.604502
| 97
| 933
| 5.618557
| 0.360825
| 0.176147
| 0.183486
| 0.181651
| 0.26789
| 0.26789
| 0.183486
| 0
| 0
| 0
| 0
| 0.001522
| 0.29582
| 933
| 38
| 76
| 24.552632
| 0.828006
| 0.022508
| 0
| 0.347826
| 0
| 0
| 0.149451
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.347826
| false
| 0.086957
| 0.043478
| 0
| 0.478261
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
d3540cd1db3adb2b6d831630883c8e39c67f6829
| 1,020
|
py
|
Python
|
ETC/__init__.py
|
pranaysy/ETCPy
|
d08c50ae5e379ee11cc9d9eb076ae4319516314c
|
[
"Apache-2.0"
] | 10
|
2020-07-30T12:03:24.000Z
|
2022-02-14T17:45:29.000Z
|
ETC/__init__.py
|
HarikrishnanNB/ETCPy
|
afb476629c5cd858fdc8bcbbab23d74efe18c871
|
[
"Apache-2.0"
] | null | null | null |
ETC/__init__.py
|
HarikrishnanNB/ETCPy
|
afb476629c5cd858fdc8bcbbab23d74efe18c871
|
[
"Apache-2.0"
] | 2
|
2021-02-18T07:20:34.000Z
|
2021-03-15T04:10:33.000Z
|
# -*- coding: utf-8 -*-
__import__("pkg_resources").declare_namespace(__name__)
from ETC.seq.IO import read, save
from ETC.seq.process import generate, entropy
from ETC.seq.recode import cast, recode_lexical, partition, partition_numpy
from ETC.seq import check
from ETC.NSRWS.x1D.etc import compute as compute_1D
# from ETC.NSRWS.x1D.etc import compute_save as compute_save_1D
# from ETC.NSRWS.x1D.onestep import onestep as onestep_1D
from ETC.NSRWS.x2D.etc import compute as compute_2D
# from ETC.NSRWS.x2D.etc import compute_save as compute_save_2D
# from ETC.NSRWS.x2D.onestep import onestep as onestep_2D
# from ETC.CCC.compute_CCC import compute as compute_CCC
from ETC.NSRWS.x1D.parallel import (
pcompute_multiple_seq,
pcompute_single,
pcompute_files,
pcompute_numpy,
)
from ETC.LZ76.lzc import compute_complexity as LZC
from ETC.CCMC.pairs import CCM_causality
from ETC.CCMC.pairs_parallel import parallelized as CCM_causality_parallel
from ETC.CCMC.pairs_parallel import get_rowpairs
| 30
| 75
| 0.804902
| 163
| 1,020
| 4.815951
| 0.294479
| 0.142675
| 0.107006
| 0.076433
| 0.42293
| 0.277707
| 0.201274
| 0
| 0
| 0
| 0
| 0.017957
| 0.126471
| 1,020
| 33
| 76
| 30.909091
| 0.863075
| 0.305882
| 0
| 0
| 1
| 0
| 0.018545
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.705882
| 0
| 0.705882
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
d36580ec16c0e2255ab2c3365c2fc7c36732b291
| 65
|
py
|
Python
|
georiviere/watershed/__init__.py
|
Georiviere/Georiviere-admin
|
f59e1b979a758958a64899916b8b72d580128ee9
|
[
"BSD-2-Clause"
] | 7
|
2021-11-05T14:52:25.000Z
|
2022-03-24T21:18:02.000Z
|
georiviere/watershed/__init__.py
|
Georiviere/Georiviere-admin
|
f59e1b979a758958a64899916b8b72d580128ee9
|
[
"BSD-2-Clause"
] | 57
|
2021-11-02T10:27:34.000Z
|
2022-03-31T14:08:32.000Z
|
georiviere/watershed/__init__.py
|
Georiviere/Georiviere-admin
|
f59e1b979a758958a64899916b8b72d580128ee9
|
[
"BSD-2-Clause"
] | 1
|
2021-12-05T14:55:42.000Z
|
2021-12-05T14:55:42.000Z
|
default_app_config = 'georiviere.watershed.apps.WatershedConfig'
| 32.5
| 64
| 0.861538
| 7
| 65
| 7.714286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.046154
| 65
| 1
| 65
| 65
| 0.870968
| 0
| 0
| 0
| 0
| 0
| 0.630769
| 0.630769
| 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
|
d37910fc6d6bf63a4018cec728dbb5b588740664
| 92
|
py
|
Python
|
problem/10000~19999/13241/13241.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-19T16:37:44.000Z
|
2019-04-19T16:37:44.000Z
|
problem/10000~19999/13241/13241.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 1
|
2019-04-20T11:42:44.000Z
|
2019-04-20T11:42:44.000Z
|
problem/10000~19999/13241/13241.py3.py
|
njw1204/BOJ-AC
|
1de41685725ae4657a7ff94e413febd97a888567
|
[
"MIT"
] | 3
|
2019-04-19T16:37:47.000Z
|
2021-10-25T00:45:00.000Z
|
def gcd(a,b):return gcd(b,a%b) if b else a
a,b=map(int,input().split())
print(a*b//gcd(a,b))
| 30.666667
| 42
| 0.630435
| 25
| 92
| 2.32
| 0.48
| 0.172414
| 0.172414
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 92
| 3
| 43
| 30.666667
| 0.690476
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
d379df31d175aa28fbc1b52b378668c20b634606
| 145
|
py
|
Python
|
{{cookiecutter.project_slug}}/config.py
|
bmwant/templio
|
002c3b0cb81bdc02df52eeb7224ae8b27cde6ca4
|
[
"Unlicense"
] | 3
|
2018-03-03T13:50:39.000Z
|
2018-04-04T22:00:57.000Z
|
{{cookiecutter.project_slug}}/config.py
|
bmwant/templio
|
002c3b0cb81bdc02df52eeb7224ae8b27cde6ca4
|
[
"Unlicense"
] | null | null | null |
{{cookiecutter.project_slug}}/config.py
|
bmwant/templio
|
002c3b0cb81bdc02df52eeb7224ae8b27cde6ca4
|
[
"Unlicense"
] | null | null | null |
import os
from pathlib import Path
PROJECT_ROOT = Path(os.path.dirname(os.path.realpath(__file__)))
TEMPLATES_DIR = PROJECT_ROOT / 'templates'
| 20.714286
| 64
| 0.786207
| 21
| 145
| 5.095238
| 0.571429
| 0.205607
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.110345
| 145
| 6
| 65
| 24.166667
| 0.829457
| 0
| 0
| 0
| 0
| 0
| 0.062069
| 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
|
d37f6e3665927ed5d709f756572c75eb08221908
| 400
|
py
|
Python
|
acoular/version.py
|
ishine/acoular
|
4d790517adb38dc012b1f06966262b94f3625358
|
[
"BSD-3-Clause"
] | 294
|
2015-03-24T09:19:12.000Z
|
2022-03-11T02:59:11.000Z
|
acoular/version.py
|
ishine/acoular
|
4d790517adb38dc012b1f06966262b94f3625358
|
[
"BSD-3-Clause"
] | 45
|
2015-11-06T15:15:22.000Z
|
2022-03-18T07:05:30.000Z
|
acoular/version.py
|
ishine/acoular
|
4d790517adb38dc012b1f06966262b94f3625358
|
[
"BSD-3-Clause"
] | 100
|
2015-05-05T15:18:57.000Z
|
2022-03-21T09:48:05.000Z
|
# coding=UTF-8
#------------------------------------------------------------------------------
# Copyright (c) 2007-2021, Acoular Development Team.
#------------------------------------------------------------------------------
# separate file to find out about version without importing the acoular lib
__author__ = "Acoular Development Team"
__date__ = "5 May 2021"
__version__ = "21.05"
| 40
| 80
| 0.4375
| 33
| 400
| 4.939394
| 0.818182
| 0.220859
| 0.269939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.050992
| 0.1175
| 400
| 9
| 81
| 44.444444
| 0.410765
| 0.7325
| 0
| 0
| 0
| 0
| 0.423913
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 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
| 0
|
0
| 4
|
d394390009f57ae75a1d1d1fbaf9c9228a1deb71
| 4,244
|
py
|
Python
|
analysis/getCntgRegions.py
|
dnolivieri/MResVgene
|
08d5cc2368b051ab64ac593b8ebb1b725265f30a
|
[
"MIT"
] | null | null | null |
analysis/getCntgRegions.py
|
dnolivieri/MResVgene
|
08d5cc2368b051ab64ac593b8ebb1b725265f30a
|
[
"MIT"
] | null | null | null |
analysis/getCntgRegions.py
|
dnolivieri/MResVgene
|
08d5cc2368b051ab64ac593b8ebb1b725265f30a
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
"""
dnolivieri: updated ...15 marzo 2015
- get the regions from huge scaffolds.
"""
import collections
import numpy as np
import matplotlib.pyplot as plt
import time
import os, fnmatch
import sys
import itertools
from operator import itemgetter, attrgetter
import math
from Bio import SeqIO
from Bio import Seq
from Bio.SeqRecord import SeqRecord
from Bio.Alphabet import IUPAC
from scipy import *
import struct
import re
import json
import cPickle as pickle
from copy import deepcopy
import timeit
import operator
class getCntgRegions:
def __init__(self, S):
self.S = S
def get_region(self, fbar):
outfile = fbar.replace(".fasta", "4.fasta")
ofile = open(outfile, "w")
Sbar = [ k for k in self.S.iterkeys() ]
for record in SeqIO.parse(fbar, "fasta"):
rec_desc = record.description
cntg= rec_desc.split(":")[3]
print cntg
if cntg in Sbar:
print cntg, rec_desc
for j in range(len(S[cntg]) ):
q0 = S[cntg][j][0]
q1 = S[cntg][j][1]
print cntg, j, q0, q1
seq= record.seq[q0:q1]
recordB=SeqRecord(seq, id = cntg +"_"+str(j), description=record.description )
ofile.write(recordB.format("fasta"))
ofile.close()
#-------------------
if __name__ == '__main__':
### For the reduced study of genes that didn't come out....17march
infile="./MacacaMstudy/Macaca_mulatta_MMUL1_r.fasta"
"""
S = { '1099214732309':[[1450,1850]],
'7':[[1263900, 1264300], [987200, 987600], [376200, 376600], [839300, 839700] ],
'3':[[849120,849520], [874900,875300] ]
}
"""
S = {'7':[ [376200, 376600]]}
M = getCntgRegions(S)
M.get_region(infile)
"""
def get_max( x ):
s = list(itertools.chain.from_iterable(x))
s.sort()
return np.array(s)
res=[]
S1=[[238,537]]
res.append( ('1099214757507', 0, 5000) )
S2=[[797,1845]]
res.append( ('1099214148171', 0, 5000) )
S3=[[700393,701553], [654699,654992], [187218,187895] ]
x = get_max(S3)
res.append( ('1099548049584', 0, np.max(x)+500000) )
print np.abs(np.min(x)-500000- np.max(x)+500000)
S4=[[627,1136]]
res.append( ('1099214128018', 0, 30000) )
S5=[[1261,1818]]
res.append( ('1099214732309', 0, 30000) )
Chr10=[ [66038886,66039290], [66222287,66222580], [66252992,66253527], [66335879,66336272], [66226801,66227112],
[65906638,65906946], [65929928,65930221], [65803593,65803889]]
x = get_max(Chr10)
res.append( ('10', np.min(x)-500000, np.max(x)+500000) )
print "chr10", np.abs(np.min(x)-500000- (np.max(x)+500000))
Chr13=[[89436957,89437895], [90246706,90247293], [89827964,89828257] ]
x = get_max(Chr13)
res.append( ('13', np.min(x)-500000, np.max(x)+500000) )
print "chr13", np.abs(np.min(x)-500000- (np.max(x)+500000) )
Chr13B=[[113209235,113209678]]
x = get_max(Chr13B)
res.append( ('13B', np.min(x)-500000, np.max(x)+500000) )
print "chr13B", np.abs(np.min(x)-500000- (np.max(x)+500000) )
Chr7=[ [84639642,84640144], [84695438,84695874],[85118821,85119249],[84991102,84991653],[84934218,84934823],
[84496390,84496913],[84486442,84486950],[84467455,84468214],[84971778,84972336],[84716663,84717140],
[84732052,84732598],[84564285,84564755],[85125178,85125679]]
x = get_max(Chr7)
res.append( ('7', np.min(x)-500000, np.max(x)+500000) )
print "chr7", np.abs(np.min(x)-500000- (np.max(x)+500000) )
Chr3=[ [180086601,180112240],[179988975,179989609],[179951177,179951702],[179877783,179878247],
[179805555,179806016],[179921910,179922345],[180168975,180169600],[180093458,180093897]]
x = get_max(Chr3)
res.append( ('3', np.min(x)-500000, np.max(x)+500000) )
print "chr3", np.abs(np.min(x)-500000- (np.max(x)+500000) )
print
print res
for k in res:
#print "'",k[0],"'",":[[",k[1], ",", k[2],"]]"
print "'%s':[[%d,%d]]," % (k[0], k[1], k[2])
"""
| 28.10596
| 117
| 0.582941
| 544
| 4,244
| 4.494485
| 0.439338
| 0.065849
| 0.029448
| 0.058896
| 0.144376
| 0.137423
| 0.132515
| 0.132515
| 0.132515
| 0.071166
| 0
| 0.312771
| 0.239868
| 4,244
| 150
| 118
| 28.293333
| 0.445133
| 0.024034
| 0
| 0
| 0
| 0
| 0.05249
| 0.028937
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.446809
| null | null | 0.06383
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
6cead5ce0f1b4482017b26b00d60f537b5670b35
| 65
|
py
|
Python
|
Mundos/Mundo 2/Aulas/Aula 13/ex047.py
|
NicolasdeLimaAlves/Curso-de-Python
|
4987a2c8075a76f676aa69bfd968fdf8d1c7fa52
|
[
"MIT"
] | null | null | null |
Mundos/Mundo 2/Aulas/Aula 13/ex047.py
|
NicolasdeLimaAlves/Curso-de-Python
|
4987a2c8075a76f676aa69bfd968fdf8d1c7fa52
|
[
"MIT"
] | null | null | null |
Mundos/Mundo 2/Aulas/Aula 13/ex047.py
|
NicolasdeLimaAlves/Curso-de-Python
|
4987a2c8075a76f676aa69bfd968fdf8d1c7fa52
|
[
"MIT"
] | null | null | null |
for c in range(2, 51, 2):
print(c, '{}'.format('\033[0;31m'))
| 32.5
| 39
| 0.523077
| 13
| 65
| 2.615385
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185185
| 0.169231
| 65
| 2
| 39
| 32.5
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 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
| 1
|
0
| 4
|
9f0906d5344e4a824224d10c526923112036af32
| 11,422
|
py
|
Python
|
Probabilistic/Plot results of multiple ROI.py
|
El-Suri/process_monkey_brains
|
c3d53b7386b78663ea96e8335f7da907a1d02297
|
[
"MIT"
] | null | null | null |
Probabilistic/Plot results of multiple ROI.py
|
El-Suri/process_monkey_brains
|
c3d53b7386b78663ea96e8335f7da907a1d02297
|
[
"MIT"
] | 2
|
2020-09-15T13:21:29.000Z
|
2020-09-15T13:22:22.000Z
|
Probabilistic/Plot results of multiple ROI.py
|
El-Suri/Analyse-Monkey-Brain-Tracts
|
c3d53b7386b78663ea96e8335f7da907a1d02297
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# coding: utf-8
# # Plot & analyse results
# In[21]:
import os
import pandas as pd
import numpy as np
import glob
import seaborn as sns
from matplotlib import pyplot as plt
import statistics
# In[22]:
# Read in data
df_gschwind = pd.read_csv('/cubric/data/c1639425/Monkey_Brains/results_df/proportion_gschwind_bst_ncc_subic_antthal_globpal_df')
display(df_gschwind)
#df_eickhoff = pd.read_csv('/cubric/data/c1639425/Monkey_Brains/proportion_eickhoff_distance_corrected_just_subiculum_streamline_corrected_hipp_ant_thal_caudate_df')
#display(df_eickhoff)
df_eickhoff = pd.read_csv('/cubric/data/c1639425/Monkey_Brains/results_df/proportion_eickhoff_streamline_corrected_bst_subic_ncc_ant_thal_extglobpal_df')
display(df_eickhoff)
df_raw_data = pd.read_csv('/cubric/data/c1639425/Monkey_Brains/results_df/distance_corrected_raw_data_bst_subic_ncc_ant_thal_extGP_df')
display(df_raw_data)
# # Plot Raw Data
# In[23]:
raw_figure, axes = plt.subplots(figsize=(20,10))
# ax1 - Subic Connections
subic_data = df_raw_data[['subic_ant_thal','subic_bst','subic_ncc','subic_ext_glob_pal']]
ax1 = plt.subplot(1,3,1)
sns.boxplot(ax = ax1, x = "variable", y = "value", data = pd.melt(subic_data))
ax1.set_xticklabels(['Ant Thal','BNST','NCC','Ext-GP'], fontsize = 11)
ax1.set_title('Subiculum')
ax1.set_xlabel('Target Regions')
ax1.set_ylabel('\"Connections\"')
raw_figure.tight_layout()
raw_figure.savefig('/home/c1639425/Desktop/Monkey_processing/Multiple_roi_results/raw_data_dist_corrected.png')
# ## Plot Gschwind
# In[8]:
list(df_gschwind.columns)
# In[24]:
# PLOT GSCHWIND
axis_names = list(df_gschwind.columns.values)[1:]
gschwind_figure, axes = plt.subplots(figsize=(20,10))
# ax1 - Subic Connections
subic_data = df_gschwind[['bst_subic','subic_ant_thal','ncc_subic','subic_ext_glob_pal',]]
ax1 = plt.subplot(2,3,1)
sns.boxplot(ax = ax1, x = "variable", y = "value", data = pd.melt(subic_data))
ax1.set_xticklabels(['BNST', 'Ant Thal','NCC','Glob Pal',], fontsize = 11)
ax1.set_title('Subiculum')
ax1.set_xlabel('ROIs')
ax1.set_ylabel('Connection Proportion')
plt.setp(ax1.xaxis.get_majorticklabels(), rotation=45)
gschwind_figure.tight_layout()
gschwind_figure.savefig('/home/c1639425/Desktop/Monkey_processing/Multiple_roi_results/gschwind_bst_ncc_subic_antthal_globpal.png')
# ## Run t-tests
# In[28]:
test_df = df_gschwind[['Subjects','bst_subic','subic_ant_thal','ncc_subic','subic_ext_glob_pal',]]
test_long = pd.melt(test_df, id_vars=['Subjects'], value_vars=['bst_subic','subic_ant_thal','ncc_subic','subic_ext_glob_pal'])
print(test_long)
# In[23]:
from scipy import stats
subic_result = stats.wilcoxon(x = subic_data['bst_subic'], y=subic_data['ncc_subic'], zero_method='wilcox', correction=False)
print(subic_result)
# ## Plot Eickhoff Method, subic only
# In[18]:
axis_names = list(df_eickhoff.columns.values)[1:]
eickhoff_figure, axes = plt.subplots(figsize=(20,10))
# ax1 - Subic Connections
subic_data = df_eickhoff[['subic_bst','subic_ant_thal','subic_ncc','subic_ext_glob_pal']]
ax1 = plt.subplot(1,3,1)
sns.boxplot(ax = ax1, x = "variable", y = "value", data = pd.melt(subic_data))
ax1.set_xticklabels(['BNST','Ant Thal','NCC','Glob Pal'], fontsize = 11)
ax1.set_title('Subiculum')
ax1.set_xlabel('Target Regions')
ax1.set_ylabel('Connection Proportion')
#ax1.set_ylim(0,0.6)
plt.setp(ax1.xaxis.get_majorticklabels(), rotation=45)
eickhoff_figure.savefig('/home/c1639425/Desktop/Monkey_processing/Multiple_roi_results/eickhoff_bst_ncc_subic_antthal_globpal.png')
# # Eickhoff, all ROIS
# In[35]:
eickhoff_figure, axes = plt.subplots(figsize=(20,10))
# ax1 - Subic Connections
subic_data = df_eickhoff[['subic_bst','subic_ncc','subic_hippocampus','subic_caudate','subic_ant_thal']]
ax1 = plt.subplot(2,3,1)
sns.boxplot(ax = ax1, x = "variable", y = "value", data = pd.melt(subic_data))
ax1.set_xticklabels(['BNST','NCC','Hippocampus', 'Caudate','Ant Thal'], fontsize = 11)
ax1.set_title('Subiculum')
ax1.set_xlabel('Target Regions')
ax1.set_ylabel('Connection Proportion')
#ax1.set_ylim(0,0.6)
#plt.setp(ax1.xaxis.get_majorticklabels(), rotation=45)
# ax2 - BST Connections
bst_connections = df_eickhoff[['bst_subic','bst_ncc','bst_hippocampus','bst_caudate','bst_ant_thal']]
ax2 = plt.subplot(2,3,2, sharey = ax1)
sns.boxplot(ax = ax2, x = "variable", y = "value", data = pd.melt(bst_connections))
ax2.set_xticklabels(['Subiculum', 'NCC', 'Hippocampus', 'Caudate', ' Ant Thal'], fontsize = 11)
ax2.set_title('BNST')
ax2.set_xlabel('Target Regions')
ax2.set_ylabel('Connection Proportion')
#plt.setp(ax2.xaxis.get_majorticklabels(), rotation=45)
# ax3 - NCC Connections
ncc_connections = df_eickhoff[['ncc_subic','ncc_bst','ncc_hippocampus','ncc_caudate','ncc_ant_thal']]
ax3 = plt.subplot(2,3,3, sharey = ax1)
sns.boxplot(ax = ax3, x = "variable", y = "value", data = pd.melt(ncc_connections))
ax3.set_xticklabels(['Subiculum', 'BNST', 'Hippocampus', 'Caudate', 'Ant Thal'], fontsize = 11)
ax3.set_title('NCC')
ax3.set_xlabel('Target Regions')
ax3.set_ylabel('Connection Proportion')
#plt.setp(ax3.xaxis.get_majorticklabels(), rotation=45)
# ax4 - Hippocampus Connections
hippocampus_connections = df_eickhoff[['hippocampus_subic','hippocampus_bst','hippocampus_ncc','hippocampus_caudate','hippocampus_ant_thal']]
ax4 = plt.subplot(2,3,4,sharey = ax1)
sns.boxplot(ax = ax4, x = "variable", y = "value", data = pd.melt(hippocampus_connections))
ax4.set_xticklabels(['Subiculum','BNST','NCC','Caudate','Ant Thal'], fontsize = 11)
ax4.set_title('Hippocampus')
ax4.set_xlabel('Target Regions')
ax4.set_ylabel('Connection Proportion')
#plt.setp(ax4.xaxis.get_majorticklabels(), rotation=45)
# ax5 - Caudate Connections
caudate_connections = df_eickhoff[['caudate_subic','caudate_bst','caudate_ncc','caudate_hippocampus','caudate_ant_thal']]
ax5 = plt.subplot(2,3,5,sharey = ax1)
sns.boxplot(ax = ax5, x = "variable", y = "value", data = pd.melt(caudate_connections))
ax5.set_xticklabels(['Subiculum','BNST','NCC','Hippocampus','Ant Thal'], fontsize = 11)
ax5.set_title('Caudate')
ax5.set_xlabel('Target Regions')
ax5.set_ylabel('Connection Proportion')
#plt.setp(ax5.xaxis.get_majorticklabels(), rotation=45)
# ax6 - Ant Thal Connections
ant_thal_connections = df_eickhoff[['ant_thal_subic','ant_thal_bst','ant_thal_ncc','ant_thal_hippocampus','ant_thal_caudate']]
ax6 = plt.subplot(2,3,6,sharey = ax1)
sns.boxplot(ax = ax6, x = "variable", y = "value", data = pd.melt(ant_thal_connections))
ax6.set_xticklabels(['Subiculum','BNST','NCC','Hippocampus','Caudate'], fontsize = 11)
ax6.set_title('Ant Thal')
ax6.set_xlabel('Target Regions')
ax6.set_ylabel('Connection Proportion')
#plt.setp(ax6.xaxis.get_majorticklabels(), rotation=45)
eickhoff_figure.tight_layout()
eickhoff_figure.savefig('/home/c1639425/Desktop/Monkey_processing/Multiple_roi_results/eickhoff_all_distance_corrected.png')
# In[26]:
from scipy import stats
subic_result = stats.wilcoxon(x = subic_data['subic_bst'], y=subic_data['subic_ncc'], zero_method='wilcox', correction=False)
print(subic_result)
bnst_result = stats.wilcoxon(x = bst_connections['bst_ncc'], y=bst_connections['bst_subic'], zero_method='wilcox', correction=False)
print(bnst_result)
ncc_result = stats.wilcoxon(x = ncc_connections['ncc_subic'], y=ncc_connections['ncc_bst'], zero_method='wilcox', correction=False)
print(ncc_result)
# ## Plot mean ROI sizes
# In[27]:
gschwind_just_subic, axes = plt.subplots(figsize=(10,5))
# ax1 - Subic Connections
subic_data = df_gschwind[['bst_subic','ncc_subic','subic_hippocampus','subic_caudate','subic_ant_thal']]
ax1 = plt.subplot(1,1,1)
sns.boxplot(ax = ax1, x = "variable", y = "value", data = pd.melt(subic_data))
ax1.set_xticklabels(['BNST', 'NCC','Hippocampus','Caudate','Ant Thal'], fontsize = 11)
ax1.set_title('Subiculum')
ax1.set_xlabel('ROIs')
ax1.set_ylabel('Connection Proportion')
plt.setp(ax1.xaxis.get_majorticklabels(), rotation=45)
gschwind_just_subic.tight_layout()
# In[80]:
means = connections_df.mean(axis = 0, numeric_only= True)
sems = connections_df.sem(axis = 0, numeric_only=True)
z_score = 1.96
lcb = means - z_score* sems
ucb = means + z_score* sems
mean_vols = before_multiplication_df.mean(axis = 0, numeric_only= True)
stds_vols = before_multiplication_df.std(axis = 0, numeric_only=True)
plot_roi_sizes = before_multiplication_df.drop(['Subjects'], axis = 1)
fig, ax = plt.subplots(figsize = (12,8))
ax = sns.boxplot(ax = ax, data = plot_roi_sizes)
fig.savefig('/home/c1639425/Desktop/Monkey_processing/Multiple_roi_results/subic_tracts_bst_sizes.png')
# In[38]:
# ax2 - BST Connections
bst_connections = df_gschwind[['bst_subic','bst_ncc','bst_hippocampus','bst_caudate','bst_ant_thal']]
ax2 = plt.subplot(2,3,2)
sns.boxplot(ax = ax2, x = "variable", y = "value", data = pd.melt(bst_connections))
ax2.set_xticklabels(['Subiculum', 'NCC','Hippocampus','Caudate','Ant Thal'], fontsize = 11)
ax2.set_title('BNST')
ax2.set_xlabel('ROIs')
ax2.set_ylabel('Connection Proportion')
plt.setp(ax2.xaxis.get_majorticklabels(), rotation=45)
# ax3 - NCC Connections
ncc_connections = df_gschwind[['ncc_subic','bst_ncc','ncc_hippocampus','ncc_caudate','ncc_ant_thal']]
ax3 = plt.subplot(2,3,3)
sns.boxplot(ax = ax3, x = "variable", y = "value", data = pd.melt(ncc_connections))
ax3.set_xticklabels(['Subiculum', 'BNST','Hippocampus','Caudate','Ant Thal'], fontsize = 11)
ax3.set_title('NCC')
ax3.set_xlabel('ROIs')
ax3.set_ylabel('Connection Proportion')
plt.setp(ax3.xaxis.get_majorticklabels(), rotation=45)
# ax4 - Hippocampus Connections
hippocampus_connections = df_gschwind[['subic_hippocampus','bst_hippocampus','ncc_hippocampus','hippocampus_caudate','hippocampus_ant_thal']]
ax4 = plt.subplot(2,3,4)
sns.boxplot(ax = ax4, x = "variable", y = "value", data = pd.melt(hippocampus_connections))
ax4.set_xticklabels(['Subiculum','BNST','NCC','Caudate','Ant Thal'], fontsize = 11)
ax4.set_title('Hippocampus')
ax4.set_xlabel('ROIs')
ax4.set_ylabel('Connection Proportion')
plt.setp(ax4.xaxis.get_majorticklabels(), rotation=45)
# ax5 - Caudate Connections
caudate_connections = df_gschwind[['subic_caudate','bst_caudate','ncc_caudate','hippocampus_caudate','caudate_ant_thal']]
ax5 = plt.subplot(2,3,5)
sns.boxplot(ax = ax5, x = "variable", y = "value", data = pd.melt(caudate_connections))
ax5.set_xticklabels(['Subiculum','BNST','NCC','Hippocampus','Ant Thal'], fontsize = 11)
ax5.set_title('Caudate')
ax5.set_xlabel('ROIs')
ax5.set_ylabel('Connection Proportion')
plt.setp(ax5.xaxis.get_majorticklabels(), rotation=45)
# ax6 - Ant Thal Connections
ant_thal_connections = df_gschwind[['subic_ant_thal','bst_ant_thal','ncc_ant_thal','hippocampus_ant_thal','caudate_ant_thal']]
ax6 = plt.subplot(2,3,6)
sns.boxplot(ax = ax6, x = "variable", y = "value", data = pd.melt(ant_thal_connections))
ax6.set_xticklabels(['Subiculum','BNST','NCC','Hippocampus','Caudate'], fontsize = 11)
ax6.set_title('Ant Thal')
ax6.set_xlabel('ROIs')
ax6.set_ylabel('Connection Proportion')
plt.setp(ax6.xaxis.get_majorticklabels(), rotation=45)
gschwind_figure.tight_layout()
gschwind_figure.savefig('/home/c1639425/Desktop/Monkey_processing/Multiple_roi_results/gschwind_distance_corrected.png')
#stats.ttest_rel(plotting_data['Subic_BST'], plotting_data['Subic_NCC'])
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Python
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triggercmd_cli/__main__.py
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omadson/triggercmd-cli
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52392024cc5f3f00f66207b460ba7296c838964e
|
[
"MIT"
] | null | null | null |
triggercmd_cli/__main__.py
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omadson/triggercmd-cli
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52392024cc5f3f00f66207b460ba7296c838964e
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[
"MIT"
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triggercmd_cli/__main__.py
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omadson/triggercmd-cli
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52392024cc5f3f00f66207b460ba7296c838964e
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[
"MIT"
] | null | null | null |
import typer
from triggercmd_cli import command
if __name__ == "__main__":
typer.run(command.list)
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py
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Python
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doggo/wsgi.py
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besson/ds-capstone-project
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638865c175bedfe7fd81940e74872ddc716b567f
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[
"MIT"
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doggo/wsgi.py
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besson/ds-capstone-project
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638865c175bedfe7fd81940e74872ddc716b567f
|
[
"MIT"
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doggo/wsgi.py
|
besson/ds-capstone-project
|
638865c175bedfe7fd81940e74872ddc716b567f
|
[
"MIT"
] | null | null | null |
from doggo import run, app
if __name__ == "__main__":
run()
app.run()
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9f3924978d036d1d1f9a52bba470f7a3f44e0917
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py
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Python
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Deployment/Heroku-Deployment/Files/universities/apps.py
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ShahriarDhruvo/DU_Hackathon
|
30650287a61a3314e6adb9e1c26206d4d8dbe312
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[
"MIT"
] | 3
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2021-02-27T21:06:05.000Z
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2021-08-03T16:56:22.000Z
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server/universities/apps.py
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ShahriarDhruvo/Class-Portal-Project-350-
|
8ebc311a7992b61e5d15da19f0ba7dfdc059a705
|
[
"MIT"
] | 1
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2021-02-13T07:22:09.000Z
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2021-02-13T07:22:09.000Z
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server/universities/apps.py
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ShahriarDhruvo/Class-Portal-Project-350-
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8ebc311a7992b61e5d15da19f0ba7dfdc059a705
|
[
"MIT"
] | 1
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2021-06-14T13:25:36.000Z
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2021-06-14T13:25:36.000Z
|
from django.apps import AppConfig
class UniversitiesConfig(AppConfig):
name = 'universities'
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9f4b0a8e3c5cce3bee0f08aca0393aadf24812aa
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py
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Python
|
backend/__init__.py
|
NoviceMaster/blog
|
e5958dad8c65db9443fbf2b229478e2abe7ffb34
|
[
"MIT"
] | null | null | null |
backend/__init__.py
|
NoviceMaster/blog
|
e5958dad8c65db9443fbf2b229478e2abe7ffb34
|
[
"MIT"
] | null | null | null |
backend/__init__.py
|
NoviceMaster/blog
|
e5958dad8c65db9443fbf2b229478e2abe7ffb34
|
[
"MIT"
] | null | null | null |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : NoviceMaster
# @Email : mrchenbin@126.com
# @Time : 2021/1/5 17:50
# @File : __init__.py.py
# @Software: PyCharm
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9f5907c624ffc56358f4c8f2152e35dd4dd9e91b
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py
|
Python
|
src/mytime.py
|
o-x-y-g-e-n/whatsapp-assistant-bot
|
f22f4176fe14efc35638f092f722b180d4688d36
|
[
"MIT"
] | 6
|
2018-06-09T17:44:46.000Z
|
2020-08-09T19:03:27.000Z
|
src/mytime.py
|
o-x-y-g-e-n/whatsapp-assistant-bot
|
f22f4176fe14efc35638f092f722b180d4688d36
|
[
"MIT"
] | 2
|
2021-04-06T18:21:29.000Z
|
2021-06-02T03:35:01.000Z
|
src/mytime.py
|
o-x-y-g-e-n/whatsapp-assistant-bot
|
f22f4176fe14efc35638f092f722b180d4688d36
|
[
"MIT"
] | 3
|
2018-02-24T15:39:49.000Z
|
2021-03-06T19:33:21.000Z
|
from datetime import datetime
def time_generator():
str = datetime.now().strftime('%Y-%m-%d %A')
return str
| 16
| 45
| 0.696429
| 17
| 112
| 4.529412
| 0.823529
| 0
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| 0.142857
| 112
| 6
| 46
| 18.666667
| 0.802083
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| 0
| 0
| 1
| 0
|
0
| 4
|
9f7303bd041ac18f1ba7ca601eef6c93f7a31f5a
| 105
|
py
|
Python
|
main.py
|
Jamesits/ZhihuZhuanlan2Hugo
|
db47a2430fb0e0b7bcc5ae14ddd55c1d4fe68ec4
|
[
"MIT"
] | null | null | null |
main.py
|
Jamesits/ZhihuZhuanlan2Hugo
|
db47a2430fb0e0b7bcc5ae14ddd55c1d4fe68ec4
|
[
"MIT"
] | null | null | null |
main.py
|
Jamesits/ZhihuZhuanlan2Hugo
|
db47a2430fb0e0b7bcc5ae14ddd55c1d4fe68ec4
|
[
"MIT"
] | null | null | null |
import sys
import ZhihuZhuanlan2Hugo
if __name__ == "__main__":
ZhihuZhuanlan2Hugo.main(*sys.argv)
| 15
| 38
| 0.761905
| 11
| 105
| 6.545455
| 0.636364
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0.022222
| 0.142857
| 105
| 6
| 39
| 17.5
| 0.777778
| 0
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| 0.07619
| 0
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| true
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
9f77d41b64520f3221c9a7dcdaa739f7aa058738
| 121
|
py
|
Python
|
tests/test_dummy.py
|
gabrielDonnantuoni/drf-nested-routers
|
38ab52b39b4cc6236056305715eb5de548722a9d
|
[
"Apache-2.0"
] | 1,254
|
2015-01-02T14:00:36.000Z
|
2022-03-31T03:55:34.000Z
|
tests/test_dummy.py
|
CZZLEGEND/drf-nested-routers
|
f2cc449535726a06235fb8054e89c9973338e381
|
[
"Apache-2.0"
] | 162
|
2015-01-07T17:47:23.000Z
|
2022-03-28T19:21:50.000Z
|
tests/test_dummy.py
|
CZZLEGEND/drf-nested-routers
|
f2cc449535726a06235fb8054e89c9973338e381
|
[
"Apache-2.0"
] | 158
|
2015-02-10T09:43:30.000Z
|
2022-03-18T22:44:49.000Z
|
from django.test import TestCase
class TestDummy(TestCase):
def test_one_plus_one(self):
assert 1 + 1 == 2
| 17.285714
| 32
| 0.68595
| 18
| 121
| 4.444444
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.231405
| 121
| 6
| 33
| 20.166667
| 0.827957
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
9f82970b7d72d5b5c4dc0eeb98a362d2111e0819
| 238
|
py
|
Python
|
lona/__init__.py
|
fscherf/lona
|
cf822b88d97db9bd2b36431341317418acefdaa9
|
[
"MIT"
] | 155
|
2020-09-12T21:54:10.000Z
|
2021-08-15T15:12:40.000Z
|
lona/__init__.py
|
fscherf/lona
|
cf822b88d97db9bd2b36431341317418acefdaa9
|
[
"MIT"
] | 9
|
2020-09-30T19:34:07.000Z
|
2021-08-15T17:20:14.000Z
|
lona/__init__.py
|
fscherf/lona
|
cf822b88d97db9bd2b36431341317418acefdaa9
|
[
"MIT"
] | 9
|
2020-09-30T19:28:41.000Z
|
2021-08-14T15:39:39.000Z
|
from .exceptions import * # NOQA: F403
from .routing import MATCH_ALL, Route
from .errors import * # NOQA: F403
from .view import LonaView
from .app import LonaApp
VERSION = (1, 8, 5)
VERSION_STRING = '.'.join(str(i) for i in VERSION)
| 26.444444
| 50
| 0.714286
| 37
| 238
| 4.540541
| 0.648649
| 0.119048
| 0.166667
| 0.214286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045918
| 0.176471
| 238
| 8
| 51
| 29.75
| 0.811224
| 0.088235
| 0
| 0
| 0
| 0
| 0.004673
| 0
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| 1
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| false
| 0
| 0.714286
| 0
| 0.714286
| 0
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| null | 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
9f8a4283c2d8062650292c05581d76c8829800f1
| 58
|
py
|
Python
|
setup.py
|
otomarukanta/kabu
|
2e2d4d80fe4d8b6acaabe0cb99176cc0275b7a72
|
[
"MIT"
] | 3
|
2019-09-07T21:47:47.000Z
|
2020-08-16T12:38:35.000Z
|
setup.py
|
adam-urbanczyk/pyqtconsole
|
9aad5fa27be81d51028932715c1652e8f05e37ff
|
[
"MIT"
] | 1
|
2021-04-25T03:21:37.000Z
|
2021-04-25T03:21:37.000Z
|
setup.py
|
otomarukanta/kabu
|
2e2d4d80fe4d8b6acaabe0cb99176cc0275b7a72
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
from setuptools import setup
setup()
| 19.333333
| 28
| 0.775862
| 9
| 58
| 5
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103448
| 58
| 3
| 29
| 19.333333
| 0.865385
| 0.344828
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
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| 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
|
9fbf52f22b80a0345802ea482f53fb3bc913eb31
| 89
|
py
|
Python
|
django/seelviz/clarityviz/apps.py
|
NeuroDataDesign/seelviz-archive
|
cb9bcf7c0f32f0256f71be59dd7d7a9086d0f3b3
|
[
"Apache-2.0"
] | null | null | null |
django/seelviz/clarityviz/apps.py
|
NeuroDataDesign/seelviz-archive
|
cb9bcf7c0f32f0256f71be59dd7d7a9086d0f3b3
|
[
"Apache-2.0"
] | 2
|
2017-04-18T02:50:14.000Z
|
2017-04-18T18:04:20.000Z
|
django/seelviz/clarityviz/apps.py
|
NeuroDataDesign/seelviz-archive
|
cb9bcf7c0f32f0256f71be59dd7d7a9086d0f3b3
|
[
"Apache-2.0"
] | null | null | null |
from django.apps import AppConfig
class SeelvizConfig(AppConfig):
name = 'seelviz'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 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
|
9fc76686b61ca7c056513108bbe29ac2004a311d
| 88
|
py
|
Python
|
src/hcb/codes/surface/__init__.py
|
Strilanc/honeycomb-boundaries
|
cc33baac44c7831bd643db81d0053f8ec6eae9d8
|
[
"Apache-2.0"
] | null | null | null |
src/hcb/codes/surface/__init__.py
|
Strilanc/honeycomb-boundaries
|
cc33baac44c7831bd643db81d0053f8ec6eae9d8
|
[
"Apache-2.0"
] | 2
|
2022-02-25T22:28:24.000Z
|
2022-03-23T21:09:04.000Z
|
src/hcb/codes/surface/__init__.py
|
Strilanc/honeycomb-boundaries
|
cc33baac44c7831bd643db81d0053f8ec6eae9d8
|
[
"Apache-2.0"
] | null | null | null |
"""
This package contains classes and methods for generating surface code circuits.
"""
| 22
| 79
| 0.772727
| 11
| 88
| 6.181818
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147727
| 88
| 3
| 80
| 29.333333
| 0.906667
| 0.897727
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
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| 0
| 1
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4ca63570b2f1f89d7981e8145cbf1da63a90433f
| 76
|
py
|
Python
|
src/izi/apps/dashboard/users/__init__.py
|
izi-core/izi-core
|
21176be2d41f0cf54ca954f294209c585f643dba
|
[
"BSD-3-Clause"
] | null | null | null |
src/izi/apps/dashboard/users/__init__.py
|
izi-core/izi-core
|
21176be2d41f0cf54ca954f294209c585f643dba
|
[
"BSD-3-Clause"
] | null | null | null |
src/izi/apps/dashboard/users/__init__.py
|
izi-core/izi-core
|
21176be2d41f0cf54ca954f294209c585f643dba
|
[
"BSD-3-Clause"
] | null | null | null |
default_app_config = 'izi.apps.dashboard.users.config.UsersDashboardConfig'
| 38
| 75
| 0.855263
| 9
| 76
| 7
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.039474
| 76
| 1
| 76
| 76
| 0.863014
| 0
| 0
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| 0.684211
| 0.684211
| 0
| 0
| 0
| 0
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| 1
| 0
| false
| 0
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| null | 0
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| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4cf1c3ad501a722c0f3380a7d47c7f4ae1b51592
| 580
|
py
|
Python
|
examples/comment/master_comment.py
|
moreno19/instabot2
|
55128d4563612e82544b66d8f6e2f81551cdc3af
|
[
"Apache-2.0"
] | null | null | null |
examples/comment/master_comment.py
|
moreno19/instabot2
|
55128d4563612e82544b66d8f6e2f81551cdc3af
|
[
"Apache-2.0"
] | null | null | null |
examples/comment/master_comment.py
|
moreno19/instabot2
|
55128d4563612e82544b66d8f6e2f81551cdc3af
|
[
"Apache-2.0"
] | null | null | null |
import os
import subprocess
from instabot import Bot
import sys
subprocess.call(["python","comment_hashtags.py","turtlecomments.txt", "turtlebaby", "savetheturtles"])
subprocess.call(["python","comment_hashtags.py","bobacomments.txt", "boba", "bubbletea"])
subprocess.call(["python","comment_hashtags.py","smoothiecomments.txt", "smoothiebowls", "smoothies", "smoothietime"])
subprocess.call(["python","comment_hashtags.py","strawcomments.txt", "strawssuck", "plastic"])
subprocess.call(["python","comment_hashtags.py","beachresortcomments.txt", "beachcleanup", "ecoresorts"])
| 44.615385
| 118
| 0.763793
| 61
| 580
| 7.180328
| 0.47541
| 0.159817
| 0.228311
| 0.308219
| 0.422374
| 0.422374
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 580
| 12
| 119
| 48.333333
| 0.794918
| 0
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| 0.567241
| 0.039655
| 0
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| 0
| 1
| 0
| true
| 0
| 0.444444
| 0
| 0.444444
| 0
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| null | 0
| 1
| 1
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
981d8fe39e966dd3b40db76f186c2687629b0e3d
| 805
|
py
|
Python
|
fluidml/common/exception.py
|
fluidml/fluidml
|
4bee9b180d84ea9c7e5d98e1ffc48fcc5080e045
|
[
"Apache-2.0"
] | 15
|
2021-01-06T14:03:49.000Z
|
2022-03-04T19:30:27.000Z
|
fluidml/common/exception.py
|
fluidml/fluidml
|
4bee9b180d84ea9c7e5d98e1ffc48fcc5080e045
|
[
"Apache-2.0"
] | 16
|
2021-01-24T00:24:39.000Z
|
2021-08-04T20:56:03.000Z
|
fluidml/common/exception.py
|
fluidml/fluidml
|
4bee9b180d84ea9c7e5d98e1ffc48fcc5080e045
|
[
"Apache-2.0"
] | 1
|
2021-07-09T06:34:49.000Z
|
2021-07-09T06:34:49.000Z
|
class NoTasksError(Exception):
"""Exception raised when there are no tasks passed"""
pass
class TaskResultKeyAlreadyExists(Exception):
"""Exception raised when two tasks produce same key-ed result"""
pass
class TaskResultObjectMissing(Exception):
"""Exception raised when one or more expected input results could not be retrieved from predecessor tasks"""
pass
class TaskNameError(Exception):
"""Exception raised when an other object with the name of a task exists.
Task names have to be unique for pickling.
"""
pass
class GridSearchExpansionError(Exception):
"""Exception raised when Grid Search expansion fails."""
pass
class CyclicGraphError(Exception):
"""Exception raised when task spec graph contains circular dependencies."""
pass
| 25.967742
| 112
| 0.734161
| 95
| 805
| 6.221053
| 0.621053
| 0.182741
| 0.243655
| 0.284264
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192547
| 805
| 30
| 113
| 26.833333
| 0.909231
| 0.550311
| 0
| 0.5
| 0
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| 0
| true
| 0.5
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| null | 0
| 1
| 1
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| null | 0
| 0
| 0
| 0
| 0
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| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e22eedef40662e825ac787ce1da7f3c9e8f99586
| 269
|
py
|
Python
|
catalog/admin.py
|
algorithm-ssau/booksearch
|
00b3d3942ca4b21089aad35dd087699d795d148c
|
[
"bzip2-1.0.6"
] | null | null | null |
catalog/admin.py
|
algorithm-ssau/booksearch
|
00b3d3942ca4b21089aad35dd087699d795d148c
|
[
"bzip2-1.0.6"
] | null | null | null |
catalog/admin.py
|
algorithm-ssau/booksearch
|
00b3d3942ca4b21089aad35dd087699d795d148c
|
[
"bzip2-1.0.6"
] | null | null | null |
from django.contrib import admin
from .models import Country, Author, Genre, Category, Book, Review
admin.site.register(Country)
admin.site.register(Author)
admin.site.register(Genre)
admin.site.register(Category)
admin.site.register(Book)
admin.site.register(Review)
| 26.9
| 66
| 0.810409
| 38
| 269
| 5.736842
| 0.368421
| 0.247706
| 0.46789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.074349
| 269
| 9
| 67
| 29.888889
| 0.875502
| 0
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| 1
| 0
| true
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| 0
| 0
| 0
| 0
|
0
| 4
|
e27725a05501e7b7796f7dc731fa45006c6868c5
| 395
|
py
|
Python
|
bindings/python/src/gravix2/__init__.py
|
avitase/libgravix2
|
52cf7f68f5d19785f8c23325225f8f3e5142cf74
|
[
"MIT"
] | null | null | null |
bindings/python/src/gravix2/__init__.py
|
avitase/libgravix2
|
52cf7f68f5d19785f8c23325225f8f3e5142cf74
|
[
"MIT"
] | 7
|
2022-01-31T19:45:55.000Z
|
2022-03-16T16:08:34.000Z
|
bindings/python/src/gravix2/__init__.py
|
avitase/libgravix2
|
52cf7f68f5d19785f8c23325225f8f3e5142cf74
|
[
"MIT"
] | null | null | null |
"""
We alias import :class:`gravix2.gravix2.Gravix2` as ``load_library`` for convenience,
such that loading and interacting with ``libgravix2.so`` becomes straightforward:
**Example:**
.. highlight:: python
.. code-block:: python
import gravix2
lib = gravix2.load_library('path_to_libgravix2.so')
lat = lib.get_lat(z=45)
...
"""
from .gravix2 import Gravix2 as load_library
| 21.944444
| 85
| 0.708861
| 51
| 395
| 5.372549
| 0.647059
| 0.120438
| 0.094891
| 0.145985
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033033
| 0.156962
| 395
| 17
| 86
| 23.235294
| 0.78979
| 0.860759
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| null | 0
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 1
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e293a74d6f6b3f4196f0a1c79eda4cd14b377aa9
| 962
|
py
|
Python
|
python/phonenumbers/shortdata/region_NE.py
|
rodgar-nvkz/python-phonenumbers
|
4c7c4892211dbc9bc328bc3356b03853eaf993dc
|
[
"Apache-2.0"
] | 2,424
|
2015-01-05T05:34:45.000Z
|
2022-03-28T22:37:53.000Z
|
python/phonenumbers/shortdata/region_NE.py
|
rodgar-nvkz/python-phonenumbers
|
4c7c4892211dbc9bc328bc3356b03853eaf993dc
|
[
"Apache-2.0"
] | 166
|
2015-01-30T23:59:18.000Z
|
2022-03-14T21:08:42.000Z
|
python/phonenumbers/shortdata/region_NE.py
|
rodgar-nvkz/python-phonenumbers
|
4c7c4892211dbc9bc328bc3356b03853eaf993dc
|
[
"Apache-2.0"
] | 345
|
2015-01-02T00:33:27.000Z
|
2022-03-26T13:06:57.000Z
|
"""Auto-generated file, do not edit by hand. NE metadata"""
from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_NE = PhoneMetadata(id='NE', country_code=None, international_prefix=None,
general_desc=PhoneNumberDesc(national_number_pattern='[1-3578]\\d(?:\\d(?:\\d{3})?)?', possible_length=(2, 3, 6)),
toll_free=PhoneNumberDesc(national_number_pattern='1(?:18|[578])|723\\d{3}', example_number='15', possible_length=(2, 3, 6)),
emergency=PhoneNumberDesc(national_number_pattern='1(?:18|[578])|723141', example_number='15', possible_length=(2, 3, 6)),
short_code=PhoneNumberDesc(national_number_pattern='1(?:0[01]|1[128]|2[034]|3[013]|[46]0|55?|[78])|222|333|555|723141|888', example_number='15', possible_length=(2, 3, 6)),
carrier_specific=PhoneNumberDesc(national_number_pattern='1(?:0[01]|1[12]|2[034]|3[013]|[46]0|55)|222|333|555|888', example_number='100', possible_length=(3,)),
short_data=True)
| 87.454545
| 176
| 0.724532
| 145
| 962
| 4.613793
| 0.434483
| 0.171898
| 0.216741
| 0.269058
| 0.511211
| 0.430493
| 0.430493
| 0.266069
| 0
| 0
| 0
| 0.137584
| 0.070686
| 962
| 10
| 177
| 96.2
| 0.610738
| 0.055094
| 0
| 0
| 1
| 0.25
| 0.230343
| 0.196013
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| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e2ad8819c8548192561fb3219760894df64f15a5
| 2,943
|
py
|
Python
|
tests/test_up_parser.py
|
lukh/microparcel-python
|
9a5cf14492bacbcdcca2e2ce0875bab46906a1c7
|
[
"MIT"
] | 1
|
2020-03-11T14:07:24.000Z
|
2020-03-11T14:07:24.000Z
|
tests/test_up_parser.py
|
lukh/microparcel-python
|
9a5cf14492bacbcdcca2e2ce0875bab46906a1c7
|
[
"MIT"
] | null | null | null |
tests/test_up_parser.py
|
lukh/microparcel-python
|
9a5cf14492bacbcdcca2e2ce0875bab46906a1c7
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `microparcel` package."""
import unittest
from microparcel import microparcel as up
class TestMicroparcelParser(unittest.TestCase):
"""Tests for `microparcel` package."""
def setUp(self):
"""Set up test fixtures, if any."""
def tearDown(self):
"""Tear down test fixtures, if any."""
def test_encode(self):
"""Test Parser Encoding."""
parser = up.make_parser_cls(4)()
msg = up.Message(4)
msg.data[0] = 0
msg.data[1] = 1
msg.data[2] = 2
msg.data[3] = 3
frame = parser.encode(msg)
self.assertEqual(frame.SOF, 0xAA)
self.assertEqual(frame.message.data[0], 0)
self.assertEqual(frame.message.data[1], 1)
self.assertEqual(frame.message.data[2], 2)
self.assertEqual(frame.message.data[3], 3)
self.assertEqual(frame.checksum, 0xAA + sum([0,1,2,3]))
def test_decode(self):
"""Test Parser Decoding."""
parser = up.make_parser_cls(4)()
msg = up.Message()
# valid message
self.assertEqual(parser.parse(0xAA, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x0, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x1, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x2, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x3, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0xFF & (0xAA + 0 + 1 + 2 + 3), msg), parser.Status.Complete)
self.assertEqual(msg.data[0], 0)
self.assertEqual(msg.data[1], 1)
self.assertEqual(msg.data[2], 2)
self.assertEqual(msg.data[3], 3)
# invalid CS
self.assertEqual(parser.parse(0xAA, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x44, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x99, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0xB, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x4, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0xFF, msg), parser.Status.Error)
# Invalid SOF
self.assertEqual(parser.parse(0xDD, msg), parser.Status.Error)
self.assertEqual(parser.parse(0xEE, msg), parser.Status.Error)
self.assertEqual(parser.parse(0xBB, msg), parser.Status.Error)
self.assertEqual(parser.parse(0xAA, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x4, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x5, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x6, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0x7, msg), parser.Status.NotComplete)
self.assertEqual(parser.parse(0xFF & (0xAA + 4+5+6+7), msg), parser.Status.Complete)
| 38.723684
| 98
| 0.652735
| 370
| 2,943
| 5.175676
| 0.208108
| 0.24282
| 0.230287
| 0.285117
| 0.683551
| 0.56188
| 0.56188
| 0.56188
| 0.313316
| 0.275718
| 0
| 0.033276
| 0.203534
| 2,943
| 76
| 99
| 38.723684
| 0.783703
| 0.085627
| 0
| 0.148936
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033873
| 0
| 0.659574
| 1
| 0.085106
| false
| 0
| 0.042553
| 0
| 0.148936
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2c5f60569aae0cd2c81589d4ebbe9b40493592ec
| 656
|
py
|
Python
|
trade_remedies_api/contacts/migrations/0006_auto_20190617_0850.py
|
uktrade/trade-remedies-api
|
fbe2d142ef099c7244788a0f72dd1003eaa7edce
|
[
"MIT"
] | 1
|
2020-08-13T10:37:15.000Z
|
2020-08-13T10:37:15.000Z
|
trade_remedies_api/contacts/migrations/0006_auto_20190617_0850.py
|
uktrade/trade-remedies-api
|
fbe2d142ef099c7244788a0f72dd1003eaa7edce
|
[
"MIT"
] | 4
|
2020-09-10T13:41:52.000Z
|
2020-12-16T09:00:21.000Z
|
trade_remedies_api/contacts/migrations/0006_auto_20190617_0850.py
|
uktrade/trade-remedies-api
|
fbe2d142ef099c7244788a0f72dd1003eaa7edce
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.0.13 on 2019-06-17 08:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("contacts", "0005_auto_20190520_1322"),
]
operations = [
migrations.RemoveField(model_name="contactuser", name="case",),
migrations.RemoveField(model_name="contactuser", name="contact",),
migrations.RemoveField(model_name="contactuser", name="created_by",),
migrations.RemoveField(model_name="contactuser", name="modified_by",),
migrations.RemoveField(model_name="contactuser", name="user",),
migrations.DeleteModel(name="ContactUser",),
]
| 32.8
| 78
| 0.6875
| 69
| 656
| 6.391304
| 0.507246
| 0.204082
| 0.294785
| 0.340136
| 0.519274
| 0.519274
| 0.213152
| 0
| 0
| 0
| 0
| 0.058824
| 0.170732
| 656
| 19
| 79
| 34.526316
| 0.751838
| 0.070122
| 0
| 0
| 1
| 0
| 0.21875
| 0.037829
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.076923
| 0
| 0.307692
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
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| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2c8b56921329467a7f988dd9f9fd671fb8715962
| 159
|
py
|
Python
|
polls/forms.py
|
standragosexpleo/djangoapp
|
53a7e6fbf00f571d2159856ee421f75bdf4f85b9
|
[
"MIT"
] | null | null | null |
polls/forms.py
|
standragosexpleo/djangoapp
|
53a7e6fbf00f571d2159856ee421f75bdf4f85b9
|
[
"MIT"
] | null | null | null |
polls/forms.py
|
standragosexpleo/djangoapp
|
53a7e6fbf00f571d2159856ee421f75bdf4f85b9
|
[
"MIT"
] | null | null | null |
# forms.py
from django import forms
from .models import *
class PhotoForm(forms.ModelForm):
class Meta:
model = Photo
fields = ['photo']
| 15.9
| 33
| 0.641509
| 19
| 159
| 5.368421
| 0.684211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.264151
| 159
| 9
| 34
| 17.666667
| 0.871795
| 0.050314
| 0
| 0
| 0
| 0
| 0.033557
| 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
|
2c9afa2bd875c5691390979f08e4a253c929d672
| 143
|
py
|
Python
|
sanic_jwt/base.py
|
jekel/sanic-jwt
|
4f6ab07376ad90011d40e205feacae8219359d6f
|
[
"MIT"
] | 226
|
2017-09-05T08:23:58.000Z
|
2022-03-28T09:23:47.000Z
|
sanic_jwt/base.py
|
jekel/sanic-jwt
|
4f6ab07376ad90011d40e205feacae8219359d6f
|
[
"MIT"
] | 179
|
2017-09-27T08:33:16.000Z
|
2022-01-28T20:35:23.000Z
|
sanic_jwt/base.py
|
jekel/sanic-jwt
|
4f6ab07376ad90011d40e205feacae8219359d6f
|
[
"MIT"
] | 45
|
2017-10-14T10:26:46.000Z
|
2022-02-04T15:01:20.000Z
|
class BaseDerivative:
def __init__(self, config, instance, *args, **kwargs):
self.config = config
self.instance = instance
| 28.6
| 58
| 0.657343
| 15
| 143
| 6
| 0.6
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.237762
| 143
| 4
| 59
| 35.75
| 0.825688
| 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
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2cb12a7afaca85f0cebd275b6301ae9ea8fe3d06
| 351
|
py
|
Python
|
sanatkpy/__init__.py
|
zhs007/sanatkpy
|
796232b5f326ae10c71f69296e560592a7053985
|
[
"Apache-2.0"
] | null | null | null |
sanatkpy/__init__.py
|
zhs007/sanatkpy
|
796232b5f326ae10c71f69296e560592a7053985
|
[
"Apache-2.0"
] | null | null | null |
sanatkpy/__init__.py
|
zhs007/sanatkpy
|
796232b5f326ae10c71f69296e560592a7053985
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding:utf-8 -*-
"""
sanatkpy - 三国志战略版的python实现
"""
# pylint: disable = invalid-name
# pylint: disable = line-too-long
from sanatkpy.zfwzhx import WZHX
from sanatkpy.zfyrpx import YRPX
from sanatkpy.atkresult import AtkResult
from sanatkpy.general import General
from sanatkpy.atk import simAttack2
from sanatkpy.atkreport import AtkReport
| 25.071429
| 40
| 0.774929
| 44
| 351
| 6.181818
| 0.522727
| 0.264706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006601
| 0.136752
| 351
| 13
| 41
| 27
| 0.891089
| 0.316239
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
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| 0
| null | 1
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e2b9fc801eef137d38b43e71010cbc05d49da55f
| 10,443
|
py
|
Python
|
dtApp/dtCode/crossvalidation.py
|
Digital-Twin-Operational-Platform/Cristallo
|
20e21f6ae0f0f99002a229c8c966fd72020698c3
|
[
"BSD-3-Clause"
] | 6
|
2021-07-14T08:43:20.000Z
|
2022-02-02T19:40:26.000Z
|
dtApp/dtCode/crossvalidation.py
|
Digital-Twin-Operational-Platform/Cristallo
|
20e21f6ae0f0f99002a229c8c966fd72020698c3
|
[
"BSD-3-Clause"
] | null | null | null |
dtApp/dtCode/crossvalidation.py
|
Digital-Twin-Operational-Platform/Cristallo
|
20e21f6ae0f0f99002a229c8c966fd72020698c3
|
[
"BSD-3-Clause"
] | 2
|
2021-07-05T08:08:43.000Z
|
2022-03-28T09:46:02.000Z
|
'''
This function compares the experimental FRFs of each structure with the simulated FRFs of their respective numerical models.
'''
from flask import render_template
from dtApp import app
from dtApp import date
import plotly
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import pandas as pd
import numpy as np
import json
from dtLib.crossval.example import tSW,tSO,tSH,tBR,youtSW,youtSO,youtSH,youtBR
from dtLib.crossval.example import tNumSW,tNumSWmiddle,tNumSO,tNumSH,tNumBR,tNumSHmiddle,youtNumSW,youtNumSO,youtNumSH,youtNumBR
@app.route('/crossval')#@app.route('/ExpValidation_Updated')
def ExpValidation_Updated():
return render_template('crossvalidation.html',date=date)
@app.route('/crossval_1')
def Exp_Data():
"""
This function gathers the experimental data and displays them.
"""
# Figure1
fig1 = make_subplots(rows=2, cols=2,vertical_spacing=0.15,
subplot_titles=("<b>Prototype 1<b>","<b>Prototype 2<b>", "<b>Prototype 3<b>", "<b>Prototype 4<b>"))
# Fig1.a
fig1.add_scatter(x=tSW,y=youtSW[0], name='Acc floor 1', mode = 'lines', row=1, col=1)
fig1.add_scatter(x=tSW,y=youtSW[1], name='Acc floor 2', mode = 'lines', row=1, col=1)
fig1.add_scatter(x=tSW,y=youtSW[2], name='Acc floor 3', mode = 'lines', row=1, col=1)
# Update xaxis properties
fig1.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=1, col=1)
# Update yaxis properties
fig1.update_yaxes(title_text="dB", titlefont=dict(size=15), row=1, col=1)
## Fig1.b
fig1.add_scatter(x=tSO,y=youtSO[0], name='Acc floor 1', mode = 'lines', row=1, col=2)
fig1.add_scatter(x=tSO,y=youtSO[1], name='Acc floor 2', mode = 'lines', row=1, col=2)
fig1.add_scatter(x=tSO,y=youtSO[2], name='Acc floor 3', mode = 'lines', row=1, col=2)
# Update xaxis properties
fig1.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=1, col=2)
# Update yaxis properties
fig1.update_yaxes(title_text="dB", titlefont=dict(size=15), row=1, col=2)
#Fig1.c
fig1.add_scatter(x=tSH,y=youtSH[0], name='Acc floor 1', mode = 'lines', row=2, col=1)
fig1.add_scatter(x=tSH,y=youtSH[1], name='Acc floor 2', mode = 'lines', row=2, col=1)
fig1.add_scatter(x=tSH,y=youtSH[2], name='Acc floor 3', mode = 'lines', row=2, col=1)
# Update xaxis properties
fig1.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=2, col=1)
# Update yaxis properties
fig1.update_yaxes(title_text="dB", titlefont=dict(size=15), row=2, col=1)
#Fig1.d
fig1.add_scatter(x=tBR,y=youtBR[0], name='Acc floor 1', mode = 'lines', row=2, col=2)
fig1.add_scatter(x=tBR,y=youtBR[1], name='Acc floor 2', mode = 'lines', row=2, col=2)
fig1.add_scatter(x=tBR,y=youtBR[2], name='Acc floor 3', mode = 'lines', row=2, col=2)
# Update xaxis properties
fig1.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=2, col=2)
# Update yaxis properties
fig1.update_yaxes(title_text="dB", titlefont=dict(size=15), row=2, col=2)
# Update Figure properties
fig1.update_layout(title_text="<b>--- Experimental Data ---<b>", font=dict(size=20), width=1650, height=600)
fig1.update_layout(showlegend=True, font=dict(size=15))
fig1.update_layout(height=800, width=1400)
fig1.update_layout(title={'y':0.99,'x':0.48,'xanchor': 'center'})
graph1 = json.dumps(fig1, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('crossvalidation_1.html', plot1=graph1,date=date)
@app.route('/crossval_2')
def Exp_Num_Data():
"""
This function compares the experimental and numerical data for each prototype
This does not compare the different prototypes
"""
# Figure3
fig3 = make_subplots(rows=2, cols=2,vertical_spacing=0.15,
subplot_titles=("<b>Prototype 1<b>","<b>Prototype 2<b>", "<b>Prototype 3<b>", "<b>Prototype 4<b>"))
# Fig3.a
fig3.add_scatter(x=tSW,y=youtSW[0], name='Exp Data', mode = 'lines', row=1, col=1)
fig3.add_scatter(x=tNumSW,y=youtNumSW[0], name='Num Data', mode = 'markers', marker=dict(size= 1.5), row=1, col=1)
# Update xaxis properties
fig3.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=1, col=1)
# Update yaxis properties
fig3.update_yaxes(title_text="dB", titlefont=dict(size=15),row=1,col=1)
## Fig3.b
fig3.add_scatter(x=tSO,y=youtSO[0], name='Exp Data', mode = 'lines', row=1, col=2)
fig3.add_scatter(x=tNumSO,y=youtNumSO[0], name='Num Data', mode = 'markers', marker=dict(size= 1.5), row=1, col=2)
# Update xaxis properties
fig3.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=1, col=2)
# Update yaxis properties
fig3.update_yaxes(title_text="dB", titlefont=dict(size=15),row=1,col=2)
#Fig3.c
fig3.add_scatter(x=tSH,y=youtSH[0], name='Exp Data', mode = 'lines', row=2, col=1)
fig3.add_scatter(x=tNumSH,y=youtNumSH[0], name='Num Data', mode = 'markers', marker=dict(size= 1.5), row=2, col=1)
# Update xaxis properties
fig3.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=2, col=1)
# Update yaxis properties
fig3.update_yaxes(title_text="dB", titlefont=dict(size=15),row=2,col=1)
#Fig3.d
fig3.add_scatter(x=tBR,y=youtBR[0], name='Exp Data', mode = 'lines', row=2, col=2)
fig3.add_scatter(x=tNumBR,y=youtNumBR[0], name='Num Data', mode = 'markers', marker=dict(size= 3), row=2, col=2)
# Update xaxis properties
fig3.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=2, col=2)
# Update yaxis properties
fig3.update_yaxes(title_text="dB", titlefont=dict(size=15),row=2,col=2)
# Update Figure properties
fig3.update_layout(title_text="<b>--- Experimental vs Numerical Data ---<b>", font=dict(size=20), width=1650, height=600)
fig3.update_layout(showlegend=True, font=dict(size=15))
fig3.update_layout(height=800, width=1400)
fig3.update_layout(title={'y':0.99,'x':0.48,'xanchor': 'center'})
graph3 = json.dumps(fig3, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('crossvalidation_2.html', plot3=graph3,date=date)
@app.route('/crossval_3')# @app.route('/Num_Data')
def Num_Data():
"""
This function displays the numerical results for each prototype
"""
# Figure2
fig2 = make_subplots(rows=2, cols=2, shared_xaxes=True, vertical_spacing=0.15,
subplot_titles=("<b>Prototype 1<b>","<b>Prototype 2<b>", "<b>Prototype 3<b>", "<b>Prototype 4<b>"))
# Fig2.a
fig2.add_scatter(x=tNumSW,y=youtNumSW[0], name='Acc floor 1', mode = 'lines', row=1, col=1)
fig2.add_scatter(x=tNumSWmiddle,y=youtNumSW[1], name='Acc floor 2', mode = 'lines', row=1, col=1)
fig2.add_scatter(x=tNumSW,y=youtNumSW[2], name='Acc floor 3', mode = 'lines', row=1, col=1)
# Update xaxis properties
fig2.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=1, col=1)
# Update yaxis properties
fig2.update_yaxes(title_text="dB", titlefont=dict(size=15), row=1, col=1)
## Fig2.b
fig2.add_scatter(x=tNumSO,y=youtNumSO[0], name='Acc floor 1', mode = 'lines', row=1, col=2)
fig2.add_scatter(x=tNumSO,y=youtNumSO[1], name='Acc floor 2', mode = 'lines', row=1, col=2)
fig2.add_scatter(x=tNumSO,y=youtNumSO[2], name='Acc floor 3', mode = 'lines', row=1, col=2)
# Update xaxis properties
fig2.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=1, col=2)
# Update yaxis properties
fig2.update_yaxes(title_text="dB", titlefont=dict(size=15), row=1, col=2)
#Fig2.c
fig2.add_scatter(x=tNumSH,y=youtNumSH[0], name='Acc floor 1', mode = 'lines', row=2, col=1)
fig2.add_scatter(x=tNumSHmiddle,y=youtNumSH[1], name='Acc floor 2', mode = 'lines', row=2, col=1)
fig2.add_scatter(x=tNumSH,y=youtNumSH[2], name='Acc floor 3', mode = 'lines', row=2, col=1)
# Update xaxis properties
fig2.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=2, col=1)
# Update yaxis properties
fig2.update_yaxes(title_text="dB", titlefont=dict(size=15), row=2, col=1)
#Fig2.d
fig2.add_scatter(x=tNumBR,y=youtNumBR[0], name='Acc floor 1', mode = 'lines', row=2, col=2)
fig2.add_scatter(x=tNumBR,y=youtNumBR[1], name='Acc floor 2', mode = 'lines', row=2, col=2)
fig2.add_scatter(x=tNumBR,y=youtNumBR[2], name='Acc floor 3', mode = 'lines', row=2, col=2)
# Update xaxis properties
fig2.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=15), row=2, col=2)
# Update yaxis properties
fig2.update_yaxes(title_text="dB", titlefont=dict(size=15), row=2, col=2)
# Update Figure properties
fig2.update_layout(title_text="<b>--- Numerical Data ---<b>", font=dict(size=20), width=1650, height=600)
fig2.update_layout(showlegend=True, font=dict(size=15))
fig2.update_layout(height=800, width=1400)
fig2.update_layout(title={'y':0.99,'x':0.48,'xanchor': 'center'})
graph2 = json.dumps(fig2, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('crossvalidation_3.html', plot2=graph2,date=date)
@app.route('/crossval_4') # @app.route('/Exp_Exp_Data')
def Exp_Exp_Data():
"""
This compares the experimental data across all the prototypes to denote manufacturing/testing variability
"""
# Figure4
fig4 = make_subplots(rows=1, cols=1, shared_xaxes=True, vertical_spacing=0.01)
fig4.add_scatter(x=tSW,y=youtSW[0], name='Prototype 1 - Exp Data', mode = 'lines', row=1, col=1)
fig4.add_scatter(x=tSO,y=youtSO[0], name='Prototype 2 - Exp Data', mode = 'lines', row=1, col=1)
fig4.add_scatter(x=tSH,y=youtSH[0], name='Prototype 3 - Exp Data', mode = 'lines', row=1, col=1)
fig4.add_scatter(x=tBR,y=youtBR[0], name='Prototype 4 - Exp Data', mode = 'lines', row=1, col=1)
# Update xaxis properties
fig4.update_xaxes(title_text="Freq (Hz)", titlefont=dict(size=20), row=1, col=1)
# Update yaxis properties
fig4.update_yaxes(title_text="dB", titlefont=dict(size=20),row=1,col=1)
# Update Figure properties
fig4.update_layout(title_text="<b>--- Experimental vs Experimental Data ---<b>", font=dict(size=20), width=1600, height=800)
fig4.update_layout(showlegend=True, font=dict(size=15))
fig4.update_layout(title={'y':0.99,'x':0.48,'xanchor': 'center'})
graph4 = json.dumps(fig4, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('crossvalidation_4.html', plot4=graph4,date=date)
| 48.347222
| 128
| 0.683424
| 1,700
| 10,443
| 4.111765
| 0.099412
| 0.043491
| 0.056652
| 0.065236
| 0.81774
| 0.77711
| 0.748641
| 0.726323
| 0.589413
| 0.549499
| 0
| 0.054722
| 0.144307
| 10,443
| 215
| 129
| 48.572093
| 0.727507
| 0.13454
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| 0.148289
| 0.009871
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| 0
| 1
| 0.04386
| false
| 0
| 0.096491
| 0.008772
| 0.184211
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
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| 0
| 0
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e2bb4ba3faa14f8b8d3ac9771a18994ccc20f6d5
| 89
|
py
|
Python
|
PEATSA/Database/__init__.py
|
shambo001/peat
|
7a26e896aa9914b084a9064df09ed15df4047cf3
|
[
"MIT"
] | 3
|
2016-11-11T06:11:03.000Z
|
2021-09-12T22:13:51.000Z
|
PEATSA/Database/__init__.py
|
shambo001/peat
|
7a26e896aa9914b084a9064df09ed15df4047cf3
|
[
"MIT"
] | null | null | null |
PEATSA/Database/__init__.py
|
shambo001/peat
|
7a26e896aa9914b084a9064df09ed15df4047cf3
|
[
"MIT"
] | 2
|
2016-02-15T16:10:36.000Z
|
2018-02-27T10:33:21.000Z
|
'''Module containing classes and functions for working with PEATSA data in a database'''
| 44.5
| 88
| 0.786517
| 13
| 89
| 5.384615
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146067
| 89
| 1
| 89
| 89
| 0.921053
| 0.921348
| 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
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| 1
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e2eec5185b77f29d0517f4292a2838f6b74f9a8d
| 55
|
py
|
Python
|
3rdparty/rpcz/python/rpcz/service.py
|
marinadudarenko/bigartm
|
c7072663581c59e970ef165a577dc4969810a19d
|
[
"Apache-2.0"
] | 97
|
2015-01-08T17:10:25.000Z
|
2022-03-05T02:29:44.000Z
|
3rdparty/rpcz/python/rpcz/service.py
|
marinadudarenko/bigartm
|
c7072663581c59e970ef165a577dc4969810a19d
|
[
"Apache-2.0"
] | 18
|
2015-01-17T12:14:14.000Z
|
2017-03-26T04:19:09.000Z
|
3rdparty/rpcz/python/rpcz/service.py
|
marinadudarenko/bigartm
|
c7072663581c59e970ef165a577dc4969810a19d
|
[
"Apache-2.0"
] | 41
|
2015-01-10T17:37:42.000Z
|
2021-06-25T07:58:48.000Z
|
#!/usr/bin/env python
class Service(object):
pass
| 11
| 22
| 0.672727
| 8
| 55
| 4.625
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 55
| 4
| 23
| 13.75
| 0.822222
| 0.363636
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
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| null | 0
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| 0
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| 1
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
391d31aaf7030fff770c4b9eca9f9246d8d5703e
| 284
|
py
|
Python
|
luciani/algorithms/__init__.py
|
mastrogiovanni/rmi-luciani
|
51efd07ac61660438b11c9d877967f454240d0c1
|
[
"Apache-2.0"
] | null | null | null |
luciani/algorithms/__init__.py
|
mastrogiovanni/rmi-luciani
|
51efd07ac61660438b11c9d877967f454240d0c1
|
[
"Apache-2.0"
] | null | null | null |
luciani/algorithms/__init__.py
|
mastrogiovanni/rmi-luciani
|
51efd07ac61660438b11c9d877967f454240d0c1
|
[
"Apache-2.0"
] | null | null | null |
from .centrality import *
from .clustering import *
# from .generative import *
from .modularity import *
from .core import *
from .degree import *
from .distance import *
# from .motifs import *
from .physical_connectivity import *
from .reference import *
from .similarity import *
| 23.666667
| 36
| 0.753521
| 34
| 284
| 6.264706
| 0.411765
| 0.469484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.161972
| 284
| 11
| 37
| 25.818182
| 0.894958
| 0.165493
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
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| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
3948671ddb912a2a1243695fe32740345b2a96d3
| 351
|
py
|
Python
|
statzcw/exam2_tests.py
|
WesleyThorpe/Py21-BasicStats
|
55f67c61eff2aa0ca2bd9b5c886f1e188514fde7
|
[
"MIT"
] | null | null | null |
statzcw/exam2_tests.py
|
WesleyThorpe/Py21-BasicStats
|
55f67c61eff2aa0ca2bd9b5c886f1e188514fde7
|
[
"MIT"
] | null | null | null |
statzcw/exam2_tests.py
|
WesleyThorpe/Py21-BasicStats
|
55f67c61eff2aa0ca2bd9b5c886f1e188514fde7
|
[
"MIT"
] | null | null | null |
import math
class Solution(object):
def add_digits(num):
#return (num - 1) % 9 + 1 if num > 0 else 0
#print(add_digits(48))
#print(add_digits(59))
class Solution(object):
def add_digits(self, val:int):
val = int
sum_int = 0
While float(val)/10>=.1
r = n%10
sum_int +=
| 16.714286
| 51
| 0.527066
| 51
| 351
| 3.509804
| 0.529412
| 0.201117
| 0.212291
| 0.24581
| 0.346369
| 0.346369
| 0
| 0
| 0
| 0
| 0
| 0.065789
| 0.350427
| 351
| 21
| 52
| 16.714286
| 0.719298
| 0.239316
| 0
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.1
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1a4f0bbce5fa3e0d1a8ca820cf13a531c3877567
| 86
|
py
|
Python
|
app/API/v0/__init__.py
|
Goomba41/site.cgako
|
9f0ec58c1730f7ea9c69fc307eff79648d9a974f
|
[
"Apache-2.0"
] | null | null | null |
app/API/v0/__init__.py
|
Goomba41/site.cgako
|
9f0ec58c1730f7ea9c69fc307eff79648d9a974f
|
[
"Apache-2.0"
] | 4
|
2019-06-27T19:01:31.000Z
|
2021-06-02T00:24:11.000Z
|
app/API/v0/__init__.py
|
Goomba41/site.cgako
|
9f0ec58c1730f7ea9c69fc307eff79648d9a974f
|
[
"Apache-2.0"
] | 1
|
2019-06-27T18:58:39.000Z
|
2019-06-27T18:58:39.000Z
|
#! env/bin/python3.6
# -*- coding: utf8 -*-
"""Инициализация пакета API версии 0."""
| 17.2
| 40
| 0.616279
| 11
| 86
| 4.818182
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054795
| 0.151163
| 86
| 4
| 41
| 21.5
| 0.671233
| 0.872093
| 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
|
1a50cdfbdb469584d70aa18e6832a197c42df676
| 69
|
py
|
Python
|
OOP/dota3test.py
|
SyamsulAlterra/Alta
|
13e8c185e91414e3f46e5d20f39370f8e58e7cd0
|
[
"MIT"
] | null | null | null |
OOP/dota3test.py
|
SyamsulAlterra/Alta
|
13e8c185e91414e3f46e5d20f39370f8e58e7cd0
|
[
"MIT"
] | 6
|
2021-09-02T18:50:40.000Z
|
2022-02-27T11:06:31.000Z
|
OOP/dota3test.py
|
SyamsulAlterra/Alta
|
13e8c185e91414e3f46e5d20f39370f8e58e7cd0
|
[
"MIT"
] | null | null | null |
from dota3 import Hero, Game
battlefield=Game()
battlefield.start()
| 13.8
| 28
| 0.782609
| 9
| 69
| 6
| 0.777778
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016393
| 0.115942
| 69
| 4
| 29
| 17.25
| 0.868852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1a59ff3d49df131f9536260f111840a68525b875
| 4,984
|
py
|
Python
|
backend/garpix_page/codegenerator.py
|
griviala/garpix_page
|
55f1d9bc6d1de29d18e15369bebcbef18811b5a4
|
[
"MIT"
] | 18
|
2021-05-12T09:56:56.000Z
|
2022-02-09T07:15:50.000Z
|
backend/garpix_page/codegenerator.py
|
griviala/garpix_page
|
55f1d9bc6d1de29d18e15369bebcbef18811b5a4
|
[
"MIT"
] | 9
|
2021-08-30T07:56:11.000Z
|
2022-02-16T08:44:46.000Z
|
backend/garpix_page/codegenerator.py
|
griviala/garpix_page
|
55f1d9bc6d1de29d18e15369bebcbef18811b5a4
|
[
"MIT"
] | 6
|
2021-03-18T08:20:19.000Z
|
2021-12-27T08:25:58.000Z
|
import os
from django.conf import settings
from .constants import *
def snake_to_camel_case(text_snake):
return '{}'.format(
text_snake.title().replace('_', ''),
)
def create_file(directory, file_name, file_content):
path = os.path.join(directory, file_name)
if not os.path.isfile(path):
with open(path, 'w') as f:
f.write(file_content)
def create_or_append_file(directory, file_name, file_content):
path = os.path.join(directory, file_name)
if not os.path.isfile(path):
create_file(directory, file_name, file_content)
else:
with open(path, 'r') as f:
lines = f.readlines()
if file_content in lines:
return
with open(path, 'a') as f:
f.write(file_content)
def generate_page(app, page, base):
base_directory = os.path.abspath(os.path.join(settings.BASE_DIR))
available_bases = ['page', 'list', 'search']
if base not in available_bases:
raise Exception(f'Неправильно выбран параметр base. Допустимые значения: {", ".join(available_bases)}')
# create models
directory = os.path.join(base_directory, os.path.dirname(FILE_NAME_MODEL.format(app=app, page=page)))
os.makedirs(
directory,
exist_ok=True
)
# models page
base_name = os.path.basename(FILE_NAME_MODEL.format(app=app, page=page))
content = FILE_CONTENT_MODEL_DICT[base].format(app=app, page=page, page_capitalize=snake_to_camel_case(page))
create_file(directory, base_name, content)
# models init
base_name = os.path.basename(FILE_NAME_MODEL_INIT.format(app=app, page=page))
content = FILE_CONTENT_MODEL_INIT.format(page=page, page_capitalize=snake_to_camel_case(page))
create_or_append_file(directory, base_name, content)
print(f'Не забудьте поменять verbose_name и verbose_name_plural в файлах: backend/{FILE_NAME_MODEL.format(app=app, page=page)}')
# create admin
directory = os.path.join(base_directory, os.path.dirname(FILE_NAME_ADMIN.format(app=app, page=page)))
os.makedirs(
directory,
exist_ok=True
)
# admin page
base_name = os.path.basename(FILE_NAME_ADMIN.format(app=app, page=page))
content = FILE_CONTENT_ADMIN.format(app=app, page=page, page_capitalize=snake_to_camel_case(page))
create_file(directory, base_name, content)
# admin init
base_name = os.path.basename(FILE_NAME_ADMIN_INIT.format(app=app, page=page))
content = FILE_CONTENT_ADMIN_INIT.format(page=page, page_capitalize=snake_to_camel_case(page))
create_or_append_file(directory, base_name, content)
# create translation
directory = os.path.join(base_directory, os.path.dirname(FILE_NAME_TRANSLATION.format(app=app, page=page)))
os.makedirs(
directory,
exist_ok=True
)
# translation page
base_name = os.path.basename(FILE_NAME_TRANSLATION.format(app=app, page=page))
content = FILE_CONTENT_TRANSLATION.format(app=app, page=page, page_capitalize=snake_to_camel_case(page))
create_file(directory, base_name, content)
# translation init
base_name = os.path.basename(FILE_NAME_TRANSLATION_INIT.format(app=app, page=page))
content = FILE_CONTENT_TRANSLATION_INIT.format(page=page, page_capitalize=snake_to_camel_case(page))
create_or_append_file(directory, base_name, content)
# create template
directory = os.path.join(base_directory, os.path.dirname(FILE_NAME_TEMPLATE.format(page=page)))
os.makedirs(
directory,
exist_ok=True
)
# template page
base_name = os.path.basename(FILE_NAME_TEMPLATE.format(page=page))
content = FILE_CONTENT_TEMPLATE_DICT[base]
create_file(directory, base_name, content)
# create app init
directory = os.path.join(base_directory, os.path.dirname(FILE_NAME_APP_INIT.format(app=app)))
os.makedirs(
directory,
exist_ok=True
)
# app init
base_name = os.path.basename(FILE_NAME_APP_INIT.format(app=app))
content = FILE_CONTENT_APP_INIT.format(app=app, app_capitalize=snake_to_camel_case(app))
create_file(directory, base_name, content)
# create app apps
directory = os.path.join(base_directory, os.path.dirname(FILE_NAME_APPS.format(app=app)))
os.makedirs(
directory,
exist_ok=True
)
# app apps
base_name = os.path.basename(FILE_NAME_APPS.format(app=app))
content = FILE_CONTENT_APPS.format(app=app, app_capitalize=snake_to_camel_case(app))
create_file(directory, base_name, content)
print(f'Не забудьте проверить, что verbose_name указан верно в файле: backend/{FILE_NAME_APPS.format(app=app)}')
# create migrations
directory = os.path.join(base_directory, os.path.dirname(FILE_NAME_MIGRATIONS_INIT.format(app=app)))
os.makedirs(
directory,
exist_ok=True
)
# app apps
base_name = os.path.basename(FILE_NAME_MIGRATIONS_INIT.format(app=app))
create_file(directory, base_name, '')
| 38.9375
| 132
| 0.713483
| 704
| 4,984
| 4.791193
| 0.12642
| 0.053365
| 0.078269
| 0.061666
| 0.805218
| 0.793656
| 0.75126
| 0.707382
| 0.571598
| 0.478506
| 0
| 0
| 0.177769
| 4,984
| 127
| 133
| 39.244094
| 0.823084
| 0.046549
| 0
| 0.382979
| 0
| 0.021277
| 0.06823
| 0.021969
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042553
| false
| 0
| 0.031915
| 0.010638
| 0.095745
| 0.021277
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1a6c1a2f2b1af0f395f1685f8eccd6408ca00b97
| 2,020
|
py
|
Python
|
m2isar/metamodel/behav.py
|
fabianpedd/M2-ISA-R
|
c26208d5b344d903d6ad1356f88e3fe42ee665e2
|
[
"Apache-2.0"
] | null | null | null |
m2isar/metamodel/behav.py
|
fabianpedd/M2-ISA-R
|
c26208d5b344d903d6ad1356f88e3fe42ee665e2
|
[
"Apache-2.0"
] | null | null | null |
m2isar/metamodel/behav.py
|
fabianpedd/M2-ISA-R
|
c26208d5b344d903d6ad1356f88e3fe42ee665e2
|
[
"Apache-2.0"
] | null | null | null |
from typing import List, Union, TYPE_CHECKING
if TYPE_CHECKING:
from .arch import Scalar, Function
class BaseNode:
def generate(self, context):
raise NotImplementedError()
class Operator(BaseNode):
def __init__(self, op: str):
self.value = op
class Operation(BaseNode):
def __init__(self, statements: List[BaseNode]) -> None:
self.statements = statements
class BinaryOperation(BaseNode):
def __init__(self, left: BaseNode, op: Operator, right: BaseNode):
self.left = left
self.op = op
self.right = right
class NumberLiteral(BaseNode):
def __init__(self, value):
self.value = value
class Assignment(BaseNode):
def __init__(self, target: BaseNode, expr: BaseNode):
self.target = target
self.expr = expr
class Conditional(BaseNode):
def __init__(self, cond: BaseNode, then_stmts: List[BaseNode], else_stmts: List[BaseNode]):
self.cond = cond
self.then_stmts = then_stmts if then_stmts is not None else []
self.else_stmts = else_stmts if else_stmts is not None else []
class ScalarDefinition(BaseNode):
def __init__(self, scalar: "Scalar"):
self.scalar = scalar
class Return(BaseNode):
def __init__(self, expr: BaseNode):
self.expr = expr
class UnaryOperation(BaseNode):
def __init__(self, op: Operator, right: BaseNode):
self.op = op
self.right = right
class NamedReference(BaseNode):
def __init__(self, reference):
self.reference = reference
class IndexedReference(BaseNode):
def __init__(self, reference, index):
self.reference = reference
self.index = index
class TypeConv(BaseNode):
def __init__(self, data_type, size, expr: BaseNode):
self.data_type = data_type
self.size = size
self.expr = expr
class Callable(BaseNode):
def __init__(self, ref_or_name: Union[str, "Function"], args: List[BaseNode]) -> None:
self.ref_or_name = ref_or_name
self.args = args if args is not None else []
class FunctionCall(Callable):
pass
class ProcedureCall(Callable):
pass
class Group(BaseNode):
def __init__(self, expr: BaseNode):
self.expr = expr
| 24.938272
| 92
| 0.740099
| 272
| 2,020
| 5.220588
| 0.220588
| 0.116197
| 0.147887
| 0.187324
| 0.242958
| 0.098592
| 0.098592
| 0.060563
| 0.060563
| 0
| 0
| 0
| 0.152475
| 2,020
| 81
| 93
| 24.938272
| 0.829439
| 0
| 0
| 0.225806
| 1
| 0
| 0.006927
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.241935
| false
| 0.032258
| 0.032258
| 0
| 0.548387
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1acee4c2ecd880c8610d0278af4d36b30f3627ef
| 134
|
py
|
Python
|
1.Chapter-Python/presentation/ch02/__init__.py
|
zinebabercha/zineb-abercha
|
7d477eb7f7b642ea6117eff7c4a132b9aba85a78
|
[
"CC0-1.0"
] | 8
|
2018-07-09T07:01:28.000Z
|
2020-09-01T06:31:52.000Z
|
1.Chapter-Python/presentation/ch02/__init__.py
|
zinebabercha/zineb-abercha
|
7d477eb7f7b642ea6117eff7c4a132b9aba85a78
|
[
"CC0-1.0"
] | null | null | null |
1.Chapter-Python/presentation/ch02/__init__.py
|
zinebabercha/zineb-abercha
|
7d477eb7f7b642ea6117eff7c4a132b9aba85a78
|
[
"CC0-1.0"
] | 1
|
2018-10-15T06:29:17.000Z
|
2018-10-15T06:29:17.000Z
|
__all__ = ['credit_card', 'predatory_credit_card', 'progressions', 'range',
'sequence_abc', 'sequence_iterator', 'vector']
| 44.666667
| 75
| 0.679104
| 13
| 134
| 6.307692
| 0.769231
| 0.243902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149254
| 134
| 2
| 76
| 67
| 0.719298
| 0
| 0
| 0
| 0
| 0
| 0.626866
| 0.156716
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
46e05d38aff3e0052ab4a4fde78ea899c4c6f7cf
| 39
|
py
|
Python
|
euler/template.py
|
rdewalt/python_training
|
cbec6e3efa34a5693135a703bbed5904186209b6
|
[
"Unlicense"
] | null | null | null |
euler/template.py
|
rdewalt/python_training
|
cbec6e3efa34a5693135a703bbed5904186209b6
|
[
"Unlicense"
] | null | null | null |
euler/template.py
|
rdewalt/python_training
|
cbec6e3efa34a5693135a703bbed5904186209b6
|
[
"Unlicense"
] | null | null | null |
#!/usr/bin/python
# Project Euler #
#
| 7.8
| 17
| 0.615385
| 5
| 39
| 4.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179487
| 39
| 4
| 18
| 9.75
| 0.75
| 0.769231
| 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
|
2001e0cb73ae782838eeb7dbc4df09b1611640e2
| 3,455
|
py
|
Python
|
src/backend/rrflow/config.py
|
rropen/rrflow
|
61bc4b0be4efbd840af8f7ad442922052d3e449c
|
[
"MIT"
] | null | null | null |
src/backend/rrflow/config.py
|
rropen/rrflow
|
61bc4b0be4efbd840af8f7ad442922052d3e449c
|
[
"MIT"
] | null | null | null |
src/backend/rrflow/config.py
|
rropen/rrflow
|
61bc4b0be4efbd840af8f7ad442922052d3e449c
|
[
"MIT"
] | null | null | null |
from pydantic import BaseSettings
import os
from dotenv import load_dotenv
from functools import lru_cache
load_dotenv()
def generate_db_string(
ENV: str, DBHOST: str, DBPORT: str, DBNAME: str, DBUSER: str, DBPASS: str
): # pragma: no cover
"""Take in env variables and generate correct db string."""
if ENV == "test":
# TODO: Implement "test" environment variable db connection string
return "mongomock://localhost"
pass
if ENV == "local":
# return "mongodb://localhost:/27017" # local mongodb for local development
# return "mongodb://{}:{}@{}:{}/{}?authSource=admin".format(DBUSER, DBPASS, DBHOST, DBPORT, DBNAME)
return "mongodb://{}:{}/".format(DBHOST, DBPORT)
if ENV == "development" or "production":
# TODO: Implement "dev,prod" environment variable db connection string
pass
class Settings(BaseSettings):
"""
App settings class. These values should be exposed as environment variables. If running locally, this can be a `.env` file (see included `.env.example` file). If running in another enviornment you should use a modern approach to manage secrets. Many of these values are secrets and should not be exposed in the source code or to a user of the application. Many settings and decisions are based on the `ENV` variable's value.
APP_NAME: name of the app hard-coded here
ENV: Marker of the environment. acceptable values are test, local, development, and production
DEBUG: Boolean on whether debugging log messages should be visible.
TESTING: Boolean on whether you are running unit or integration tests. Among other things, this will drive an in-memory database to be used.
SECRET_KEY: Long random string of characters to use in hashing and encryption. Don't expose this value.
ADMIN_KEY: Long string that will set the admin key used to generate new project keys.
FRONTEND_URL: Location from which API requests will be made by the frontend. This will need refactored if we start to have other tools using this API.
DBHOST: Hostname for a database used in building a connection string
DBPORT: Port where the database is found
DBNAME: Database name used in building a connection string
DBUSER: Username used in building a connection string
DBPASS: User's Password used in building a connection string
AZURELOGGING_CONN_STR: Connection string to azure log handler
"""
APP_NAME: str = "vvuq"
# dev or test
ENV: str = os.environ.get("ENV") or "test"
DEBUG: bool = os.getenv("DEBUG", "False") == "True"
TESTING: bool = os.getenv("TESTING", "False") == "True"
SECRET_KEY: str = os.environ.get("SECRET_KEY") or "unset"
ADMIN_KEY: str = os.environ.get("ADMIN_KEY") or "unset"
FRONTEND_URL: str = os.environ.get("FRONTEND_URL") or "unset"
DBHOST: str = os.environ.get("DBHOST") or "unset"
DBPORT: str = os.environ.get("DBPORT") or "unset"
DBNAME: str = os.environ.get("DBNAME") or "unset"
DBUSER: str = os.environ.get("DBUSER") or "unset"
DBPASS: str = os.environ.get("DBPASS") or "unset"
AZURELOGGING_CONN_STR: str = os.environ.get("AZURELOGGING_CONN_STR") or "unset"
GITHUB_API_TOKEN: str = os.environ.get("GITHUB_API_TOKEN") or "unset"
CONN_STR: str = generate_db_string(ENV, DBHOST, DBPORT, DBNAME, DBUSER, DBPASS)
@lru_cache()
def get_settings() -> Settings:
return Settings() # reads environment variables
| 50.072464
| 433
| 0.707381
| 496
| 3,455
| 4.864919
| 0.346774
| 0.022793
| 0.054704
| 0.06838
| 0.096975
| 0.051388
| 0
| 0
| 0
| 0
| 0
| 0.001802
| 0.197106
| 3,455
| 68
| 434
| 50.808824
| 0.868061
| 0.545297
| 0
| 0.058824
| 1
| 0
| 0.171697
| 0.028169
| 0
| 0
| 0
| 0.014706
| 0
| 1
| 0.058824
| false
| 0.147059
| 0.117647
| 0.029412
| 0.735294
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
200b478ebc090c9f3989f0615a84a29555052e43
| 126
|
py
|
Python
|
Code Accdemy/Strings_immutable.py
|
JackVoice/Testing
|
11e1b83c7b2e51fa0a8cdde67c5c1eab650e018a
|
[
"Unlicense"
] | null | null | null |
Code Accdemy/Strings_immutable.py
|
JackVoice/Testing
|
11e1b83c7b2e51fa0a8cdde67c5c1eab650e018a
|
[
"Unlicense"
] | null | null | null |
Code Accdemy/Strings_immutable.py
|
JackVoice/Testing
|
11e1b83c7b2e51fa0a8cdde67c5c1eab650e018a
|
[
"Unlicense"
] | null | null | null |
first_name = "Bob"
last_name = "Daily"
#first_name[0] = "R"
fixed_first_name = "R" + first_name[-2:]
print(fixed_first_name)
| 18
| 40
| 0.698413
| 21
| 126
| 3.809524
| 0.47619
| 0.5625
| 0.35
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018182
| 0.126984
| 126
| 6
| 41
| 21
| 0.709091
| 0.150794
| 0
| 0
| 0
| 0
| 0.084906
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2018f527a3c44bdeb30eb744082209a343bc4222
| 248
|
py
|
Python
|
src/msdp/mysite/analytics/forms.py
|
shanebird92/MSDP
|
a364c27befd7f20c4312f75fd20e91de8a129725
|
[
"MIT"
] | 1
|
2019-02-14T20:39:26.000Z
|
2019-02-14T20:39:26.000Z
|
src/msdp/mysite/analytics/forms.py
|
shanebird92/MSDP
|
a364c27befd7f20c4312f75fd20e91de8a129725
|
[
"MIT"
] | null | null | null |
src/msdp/mysite/analytics/forms.py
|
shanebird92/MSDP
|
a364c27befd7f20c4312f75fd20e91de8a129725
|
[
"MIT"
] | null | null | null |
from django import forms
from .models import Analytics
class AnalyticsForm(forms.ModelForm):
class Meta:
model = Analytics
#fields = ['TripId', 'DayOfService', 'ProgrNumber', 'StopPointId']
fields = ['LineId', 'Month']
| 27.555556
| 74
| 0.66129
| 24
| 248
| 6.833333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.217742
| 248
| 8
| 75
| 31
| 0.845361
| 0.262097
| 0
| 0
| 0
| 0
| 0.06044
| 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
|
20347f45da5bf176ca1ea3d8b2df0c915a05b00a
| 119
|
py
|
Python
|
scikit-learn/scikit-learn-contrib/imbalanced-learn.py
|
kingreatwill/penter
|
2d027fd2ae639ac45149659a410042fe76b9dab0
|
[
"MIT"
] | 13
|
2020-01-04T07:37:38.000Z
|
2021-08-31T05:19:58.000Z
|
scikit-learn/scikit-learn-contrib/imbalanced-learn.py
|
kingreatwill/penter
|
2d027fd2ae639ac45149659a410042fe76b9dab0
|
[
"MIT"
] | 3
|
2020-06-05T22:42:53.000Z
|
2020-08-24T07:18:54.000Z
|
scikit-learn/scikit-learn-contrib/imbalanced-learn.py
|
kingreatwill/penter
|
2d027fd2ae639ac45149659a410042fe76b9dab0
|
[
"MIT"
] | 9
|
2020-10-19T04:53:06.000Z
|
2021-08-31T05:20:01.000Z
|
# pip install -U imbalanced-learn
# 处理不均衡数据
"""
欠采样 under_sampling 把多的砍掉
上/过采样 Over sampling 把少的数据样本补齐
联合采样
集成采样
"""
| 13.222222
| 33
| 0.739496
| 17
| 119
| 5.117647
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168067
| 119
| 9
| 34
| 13.222222
| 0.878788
| 0.89916
| 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
|
644e0abccfb66f7bd05d5e83957a4b278d785908
| 21
|
py
|
Python
|
blog/migrations/__init__.py
|
kpi-web-guild/django-girls-blog-igorkruglyak
|
97bc1df281377b81f70098ae2bb830d2d8ae7447
|
[
"MIT"
] | null | null | null |
blog/migrations/__init__.py
|
kpi-web-guild/django-girls-blog-igorkruglyak
|
97bc1df281377b81f70098ae2bb830d2d8ae7447
|
[
"MIT"
] | 33
|
2019-05-20T01:06:16.000Z
|
2021-01-09T18:16:33.000Z
|
blog/migrations/__init__.py
|
kpi-web-guild/django-girls-blog-igorkruglyak
|
97bc1df281377b81f70098ae2bb830d2d8ae7447
|
[
"MIT"
] | 2
|
2019-08-02T19:44:14.000Z
|
2021-01-08T21:28:04.000Z
|
"""DB migrations."""
| 10.5
| 20
| 0.571429
| 2
| 21
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 21
| 1
| 21
| 21
| 0.631579
| 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
|
6453bd37c7b49bf2e6ee2b03d0379839e9bd0b19
| 2,910
|
py
|
Python
|
z2/part3/updated_part2_batch/jm/parser_errors_2/788796976.py
|
kozakusek/ipp-2020-testy
|
09aa008fa53d159672cc7cbf969a6b237e15a7b8
|
[
"MIT"
] | 1
|
2020-04-16T12:13:47.000Z
|
2020-04-16T12:13:47.000Z
|
z2/part3/updated_part2_batch/jm/parser_errors_2/788796976.py
|
kozakusek/ipp-2020-testy
|
09aa008fa53d159672cc7cbf969a6b237e15a7b8
|
[
"MIT"
] | 18
|
2020-03-06T17:50:15.000Z
|
2020-05-19T14:58:30.000Z
|
z2/part3/updated_part2_batch/jm/parser_errors_2/788796976.py
|
kozakusek/ipp-2020-testy
|
09aa008fa53d159672cc7cbf969a6b237e15a7b8
|
[
"MIT"
] | 18
|
2020-03-06T17:45:13.000Z
|
2020-06-09T19:18:31.000Z
|
from part1 import (
gamma_board,
gamma_busy_fields,
gamma_delete,
gamma_free_fields,
gamma_golden_move,
gamma_golden_possible,
gamma_move,
gamma_new,
)
"""
scenario: test_random_actions
uuid: 788796976
"""
"""
random actions, total chaos
"""
board = gamma_new(3, 5, 4, 5)
assert board is not None
assert gamma_move(board, 1, 0, 4) == 1
board535480128 = gamma_board(board)
assert board535480128 is not None
assert board535480128 == ("1..\n"
"...\n"
"...\n"
"...\n"
"...\n")
del board535480128
board535480128 = None
assert gamma_move(board, 2, 2, 1) == 1
assert gamma_move(board, 2, 0, 0) == 1
assert gamma_move(board, 3, 0, 2) == 1
assert gamma_move(board, 3, 2, 3) == 1
assert gamma_move(board, 4, 0, 4) == 0
assert gamma_move(board, 4, 1, 1) == 1
assert gamma_move(board, 1, 3, 1) == 0
assert gamma_move(board, 2, 3, 1) == 0
assert gamma_move(board, 3, 0, 1) == 1
assert gamma_move(board, 3, 0, 3) == 1
assert gamma_move(board, 4, 0, 2) == 0
assert gamma_move(board, 1, 1, 1) == 0
assert gamma_move(board, 1, 1, 1) == 0
assert gamma_move(board, 2, 1, 1) == 0
assert gamma_move(board, 3, 3, 1) == 0
assert gamma_move(board, 4, 2, 2) == 1
assert gamma_move(board, 4, 2, 3) == 0
assert gamma_free_fields(board, 4) == 6
assert gamma_move(board, 1, 0, 1) == 0
assert gamma_move(board, 2, 0, 2) == 0
assert gamma_move(board, 2, 1, 3) == 1
assert gamma_move(board, 3, 0, 4) == 0
assert gamma_move(board, 3, 0, 4) == 0
assert gamma_move(board, 4, 0, 2) == 0
assert gamma_move(board, 1, 4, 1) == 0
assert gamma_move(board, 1, 0, 3) == 0
assert gamma_move(board, 2, 4, 1) == 0
assert gamma_move(board, 2, 1, 3) == 0
assert gamma_move(board, 3, 2, 1) == 0
assert gamma_move(board, 1, 1, 0) == 1
assert gamma_move(board, 2, 1, 3) == 0
assert gamma_move(board, 2, 1, 4) == 1
assert gamma_move(board, 3, 4, 2) == 0
assert gamma_free_fields(board, 3) == 3
board745238701 = gamma_board(board)
assert board745238701 is not None
assert board745238701 == ("12.\n"
"323\n"
"3.4\n"
"342\n"
"21.\n")
del board745238701
board745238701 = None
assert gamma_move(board, 4, 0, 1) == 0
board210815408 = gamma_board(board)
assert board210815408 is not None
assert board210815408 == ("12.\n"
"323\n"
"3.4\n"
"342\n"
"21.\n")
del board210815408
board210815408 = None
assert gamma_move(board, 1, 1, 3) == 0
assert gamma_free_fields(board, 1) == 3
assert gamma_move(board, 2, 0, 2) == 0
assert gamma_move(board, 3, 2, 0) == 1
assert gamma_move(board, 3, 0, 2) == 0
assert gamma_free_fields(board, 3) == 2
assert gamma_move(board, 4, 2, 1) == 0
assert gamma_free_fields(board, 4) == 2
assert gamma_move(board, 1, 4, 2) == 0
assert gamma_busy_fields(board, 1) == 2
assert gamma_golden_possible(board, 1) == 1
assert gamma_move(board, 2, 4, 2) == 0
assert gamma_move(board, 2, 2, 4) == 1
assert gamma_golden_possible(board, 2) == 1
gamma_delete(board)
| 26.697248
| 44
| 0.662199
| 513
| 2,910
| 3.606238
| 0.079922
| 0.297297
| 0.340541
| 0.454054
| 0.683784
| 0.637297
| 0.495676
| 0.317838
| 0.243784
| 0.216757
| 0
| 0.150231
| 0.1811
| 2,910
| 108
| 45
| 26.944444
| 0.626102
| 0
| 0
| 0.233333
| 0
| 0
| 0.026577
| 0
| 0
| 0
| 0
| 0
| 0.633333
| 1
| 0
| false
| 0
| 0.011111
| 0
| 0.011111
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
647009ba584a36b8fd70924f69dc8cd4d0690ecd
| 35
|
py
|
Python
|
__init__.py
|
Jacarlianda/FinMind
|
181e478727c7cda498da2b42495e2a6fea9688e3
|
[
"Apache-2.0"
] | null | null | null |
__init__.py
|
Jacarlianda/FinMind
|
181e478727c7cda498da2b42495e2a6fea9688e3
|
[
"Apache-2.0"
] | null | null | null |
__init__.py
|
Jacarlianda/FinMind
|
181e478727c7cda498da2b42495e2a6fea9688e3
|
[
"Apache-2.0"
] | null | null | null |
# __init__
__version__ = '1.1.0'
| 7
| 21
| 0.628571
| 5
| 35
| 2.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 0.2
| 35
| 4
| 22
| 8.75
| 0.392857
| 0.228571
| 0
| 0
| 0
| 0
| 0.208333
| 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
|
647ac48e7a7d10aad9afe13a40efe6ef28ed69a5
| 82
|
py
|
Python
|
bevis/__init__.py
|
bkjones/bevis
|
a586096aaf3eaa713d50c4954c6d028f82be158a
|
[
"BSD-3-Clause"
] | 18
|
2015-02-14T03:07:01.000Z
|
2021-10-16T01:49:57.000Z
|
bevis/__init__.py
|
bkjones/bevis
|
a586096aaf3eaa713d50c4954c6d028f82be158a
|
[
"BSD-3-Clause"
] | null | null | null |
bevis/__init__.py
|
bkjones/bevis
|
a586096aaf3eaa713d50c4954c6d028f82be158a
|
[
"BSD-3-Clause"
] | 3
|
2015-08-26T06:16:05.000Z
|
2019-05-25T11:38:10.000Z
|
from bevis_server import Bevis
from daemonize import daemonize
version = (0, 9, 5)
| 27.333333
| 31
| 0.792683
| 13
| 82
| 4.923077
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042857
| 0.146341
| 82
| 3
| 32
| 27.333333
| 0.871429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
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