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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8758432af277e26a742d7089759a8ba489d20616
| 25
|
py
|
Python
|
Data Automation/MW-Net/model/__init__.py
|
xjtushujun/Auto-6ML
|
7ee07b2c36ecba4784aca9a7b7d7d9a1d418fa1b
|
[
"Apache-2.0"
] | 4
|
2021-08-02T03:42:51.000Z
|
2021-12-17T02:33:26.000Z
|
Data Automation/MW-Net/model/__init__.py
|
xjtushujun/Auto-6ML
|
7ee07b2c36ecba4784aca9a7b7d7d9a1d418fa1b
|
[
"Apache-2.0"
] | null | null | null |
Data Automation/MW-Net/model/__init__.py
|
xjtushujun/Auto-6ML
|
7ee07b2c36ecba4784aca9a7b7d7d9a1d418fa1b
|
[
"Apache-2.0"
] | null | null | null |
from .resnet32 import *
| 8.333333
| 23
| 0.72
| 3
| 25
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0.2
| 25
| 2
| 24
| 12.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5e7002efe1cc2b142c3238d05991aa26776883c5
| 52
|
py
|
Python
|
src/datasets/__init__.py
|
hendraet/IIC
|
a5bab915eda133b0ecfd42eaacd60c7b26807cb6
|
[
"MIT"
] | 767
|
2019-03-28T00:22:53.000Z
|
2022-03-31T09:27:01.000Z
|
src/datasets/__init__.py
|
hendraet/IIC
|
a5bab915eda133b0ecfd42eaacd60c7b26807cb6
|
[
"MIT"
] | 113
|
2019-03-30T20:44:58.000Z
|
2022-03-22T04:46:55.000Z
|
src/datasets/__init__.py
|
hendraet/IIC
|
a5bab915eda133b0ecfd42eaacd60c7b26807cb6
|
[
"MIT"
] | 209
|
2019-03-28T16:06:04.000Z
|
2022-03-29T15:08:47.000Z
|
from clustering import *
from segmentation import *
| 17.333333
| 26
| 0.807692
| 6
| 52
| 7
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 52
| 2
| 27
| 26
| 0.954545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 1
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5e9c5bea3be28267b565074231c8f5a904005627
| 321
|
py
|
Python
|
tekinstr/mdo3000/spectrum_analyzer.py
|
l-johnston/tekinstr
|
92d42004bc8ebc63196f8d75590090615f5301c6
|
[
"MIT"
] | 1
|
2021-03-06T13:03:19.000Z
|
2021-03-06T13:03:19.000Z
|
tekinstr/mdo3000/spectrum_analyzer.py
|
l-johnston/tekinstr
|
92d42004bc8ebc63196f8d75590090615f5301c6
|
[
"MIT"
] | null | null | null |
tekinstr/mdo3000/spectrum_analyzer.py
|
l-johnston/tekinstr
|
92d42004bc8ebc63196f8d75590090615f5301c6
|
[
"MIT"
] | null | null | null |
"""Spectrum analyzer instrument definition"""
from tekinstr.spectrum_analyzer import SpectrumAnalyzerBase
class SpectrumAnalyzer(SpectrumAnalyzerBase, kind="Spectrum Analyzer"):
"""Spectrum analyzer instrument
Attributes:
instr (Model)
visa (pyvisa.resources.Resource): pyvisa resource
"""
| 26.75
| 71
| 0.744548
| 28
| 321
| 8.5
| 0.642857
| 0.268908
| 0.218487
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168224
| 321
| 11
| 72
| 29.181818
| 0.891386
| 0.476636
| 0
| 0
| 0
| 0
| 0.121429
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5ea6a8e939d0dd3206fe20356fc642970c32add9
| 144
|
py
|
Python
|
util/log_helper.py
|
co-code/pidor-bot
|
17c47cceeba0f1b9efa4e557d187edb315616814
|
[
"MIT"
] | 2
|
2017-08-16T14:31:16.000Z
|
2018-11-08T15:33:43.000Z
|
util/log_helper.py
|
co-code/pidor-bot
|
17c47cceeba0f1b9efa4e557d187edb315616814
|
[
"MIT"
] | 6
|
2017-08-03T11:16:11.000Z
|
2017-08-14T08:01:09.000Z
|
util/log_helper.py
|
co-code/pidor-bot
|
17c47cceeba0f1b9efa4e557d187edb315616814
|
[
"MIT"
] | 4
|
2017-09-23T08:32:16.000Z
|
2020-09-18T10:39:58.000Z
|
from datetime import datetime
def log(x):
"""Emulates simple logging system"""
print('[LOG] ' + str(datetime.now()) + ' : ' + str(x))
| 20.571429
| 58
| 0.597222
| 18
| 144
| 4.777778
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.208333
| 144
| 6
| 59
| 24
| 0.754386
| 0.208333
| 0
| 0
| 0
| 0
| 0.083333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
|
0
| 5
|
5eb077bf35056092c4ac9b5078cc9dc5cd2c95a5
| 140
|
py
|
Python
|
attractions/admin.py
|
Armestrong/Tourist_Attractions
|
8bcc60cd135cc92f32d3e82485cb45e1ecd4714a
|
[
"MIT"
] | null | null | null |
attractions/admin.py
|
Armestrong/Tourist_Attractions
|
8bcc60cd135cc92f32d3e82485cb45e1ecd4714a
|
[
"MIT"
] | null | null | null |
attractions/admin.py
|
Armestrong/Tourist_Attractions
|
8bcc60cd135cc92f32d3e82485cb45e1ecd4714a
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import ComplementAttraction
# Registering my Model
admin.site.register(ComplementAttraction)
| 23.333333
| 41
| 0.85
| 16
| 140
| 7.4375
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 140
| 5
| 42
| 28
| 0.944444
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5eb0d9d757b1d538752a1b06eecd579b77f43dd6
| 62
|
py
|
Python
|
rest_registration/utils/common.py
|
pragex/django-rest-registration
|
2750b3e6d33cde15ba46d5c5b4cb683973f7b914
|
[
"MIT"
] | null | null | null |
rest_registration/utils/common.py
|
pragex/django-rest-registration
|
2750b3e6d33cde15ba46d5c5b4cb683973f7b914
|
[
"MIT"
] | null | null | null |
rest_registration/utils/common.py
|
pragex/django-rest-registration
|
2750b3e6d33cde15ba46d5c5b4cb683973f7b914
|
[
"MIT"
] | null | null | null |
def identity(x): # pylint: disable=invalid-name
return x
| 20.666667
| 48
| 0.693548
| 9
| 62
| 4.777778
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193548
| 62
| 2
| 49
| 31
| 0.86
| 0.451613
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
5ebd4be3ae72896b676365688aaa110bc88a2bdb
| 146
|
py
|
Python
|
gdrive_audit/library/constants.py
|
txoof/gdrive_audit
|
959e1508ed43c169f7b1ed300623896b5dac740d
|
[
"MIT"
] | null | null | null |
gdrive_audit/library/constants.py
|
txoof/gdrive_audit
|
959e1508ed43c169f7b1ed300623896b5dac740d
|
[
"MIT"
] | null | null | null |
gdrive_audit/library/constants.py
|
txoof/gdrive_audit
|
959e1508ed43c169f7b1ed300623896b5dac740d
|
[
"MIT"
] | 1
|
2022-03-02T09:25:52.000Z
|
2022-03-02T09:25:52.000Z
|
from astropy import units as u
from astropy import constants
distance = 5.41*u.kpc
mh2 = constants.m_p * 2.8
continuum_frequency = 226.6*u.GHz
| 16.222222
| 33
| 0.753425
| 27
| 146
| 4
| 0.777778
| 0.203704
| 0.314815
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081967
| 0.164384
| 146
| 8
| 34
| 18.25
| 0.803279
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
5ec18d0f5222a32c8751f49c14a900a03cde53e2
| 171
|
py
|
Python
|
PyGaBot/pysimbotlib/core/__init__.py
|
huak95/PySimBot-extended
|
cac233150ca5da87af19057d80d458a59c9d1ce9
|
[
"Apache-2.0"
] | 1
|
2022-01-24T13:03:29.000Z
|
2022-01-24T13:03:29.000Z
|
PyGaBot/pysimbotlib/core/__init__.py
|
huak95/PySimBot-extended
|
cac233150ca5da87af19057d80d458a59c9d1ce9
|
[
"Apache-2.0"
] | null | null | null |
PyGaBot/pysimbotlib/core/__init__.py
|
huak95/PySimBot-extended
|
cac233150ca5da87af19057d80d458a59c9d1ce9
|
[
"Apache-2.0"
] | null | null | null |
from .Robot import Robot
# from .Objective import Objective
# from .Obstacle import Obstacle
from .Simbot import Simbot
from .App import PySimbotApp
from .Util import Util
| 28.5
| 34
| 0.807018
| 24
| 171
| 5.75
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146199
| 171
| 6
| 35
| 28.5
| 0.945205
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5ed524bfc8f2e68a9f52c920340176e1a1192143
| 309
|
py
|
Python
|
app/models.py
|
sundaming/flask_pure
|
940dcb8eaeff43bb93445bec436542c8fdd28d27
|
[
"MIT"
] | 143
|
2015-05-12T05:09:22.000Z
|
2022-01-24T15:46:36.000Z
|
app/models.py
|
sundaming/flask_pure
|
940dcb8eaeff43bb93445bec436542c8fdd28d27
|
[
"MIT"
] | 1
|
2016-06-03T13:59:50.000Z
|
2016-12-02T03:15:57.000Z
|
app/models.py
|
sundaming/flask_pure
|
940dcb8eaeff43bb93445bec436542c8fdd28d27
|
[
"MIT"
] | 73
|
2015-07-02T05:07:43.000Z
|
2020-10-08T07:18:48.000Z
|
from app import db
import datetime
class Post(db.Document):
author = db.StringField(max_length=50)
title = db.StringField(max_length=120, required=True)
tags = db.ListField(db.StringField(max_length=30))
time = db.DateTimeField(default=datetime.datetime.now())
content = db.StringField()
| 30.9
| 60
| 0.734628
| 42
| 309
| 5.333333
| 0.595238
| 0.232143
| 0.214286
| 0.294643
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026515
| 0.145631
| 309
| 9
| 61
| 34.333333
| 0.82197
| 0
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| 0
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| 0
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| 0
| 0
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| 1
| 0
| false
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| 0.25
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| null | 1
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| 1
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| 1
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
0d64af9aa1a500b0a90a309fa0047a08c9f5dad5
| 63
|
py
|
Python
|
serlo/__init__.py
|
kulla/serlo-bot
|
cd373d14e179a7bb4845da3d1fc8aa4146cc4f8b
|
[
"Apache-2.0"
] | null | null | null |
serlo/__init__.py
|
kulla/serlo-bot
|
cd373d14e179a7bb4845da3d1fc8aa4146cc4f8b
|
[
"Apache-2.0"
] | null | null | null |
serlo/__init__.py
|
kulla/serlo-bot
|
cd373d14e179a7bb4845da3d1fc8aa4146cc4f8b
|
[
"Apache-2.0"
] | null | null | null |
from .bot import SerloBot
from .environment import Environment
| 21
| 36
| 0.84127
| 8
| 63
| 6.625
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126984
| 63
| 2
| 37
| 31.5
| 0.963636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0d973962dd3931107ecd6062c63086283b12da66
| 113
|
py
|
Python
|
tests/all_test.py
|
MattFrench019/Food-Sim
|
377493edee7370a23321610282c783d7e634924f
|
[
"MIT"
] | null | null | null |
tests/all_test.py
|
MattFrench019/Food-Sim
|
377493edee7370a23321610282c783d7e634924f
|
[
"MIT"
] | null | null | null |
tests/all_test.py
|
MattFrench019/Food-Sim
|
377493edee7370a23321610282c783d7e634924f
|
[
"MIT"
] | null | null | null |
from person_test import *
from house_test import *
import unittest
if __name__ == '__main__':
unittest.main()
| 14.125
| 26
| 0.752212
| 15
| 113
| 5
| 0.6
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159292
| 113
| 7
| 27
| 16.142857
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0.070796
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
0daec43cda297e0ffb99b03ca6c433f9a4b919cc
| 152
|
py
|
Python
|
Evaluate/__init__.py
|
emcknight/ChessEngineAASpr2022-
|
10ddba62cc9c558facdfe3c7ba65b24cc2c6d356
|
[
"MIT"
] | 2
|
2022-03-19T20:28:06.000Z
|
2022-03-25T16:35:32.000Z
|
Evaluate/__init__.py
|
emcknight/ChessEngineAASpr2022-
|
10ddba62cc9c558facdfe3c7ba65b24cc2c6d356
|
[
"MIT"
] | null | null | null |
Evaluate/__init__.py
|
emcknight/ChessEngineAASpr2022-
|
10ddba62cc9c558facdfe3c7ba65b24cc2c6d356
|
[
"MIT"
] | 1
|
2022-03-25T21:32:56.000Z
|
2022-03-25T21:32:56.000Z
|
from .evaluation import evaluateScore
from .evaluationjb import calculate
from .evaluationjb2 import calculateRapid
from .CombinedEvals import eval
| 30.4
| 42
| 0.842105
| 16
| 152
| 8
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007576
| 0.131579
| 152
| 4
| 43
| 38
| 0.962121
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0db786e711feb0fa0ec3025346b8b32bb287041c
| 86
|
py
|
Python
|
tests/benchmark/preprocess_img/__init__.py
|
mpascucci/AST-image-processing
|
54111e874237f0c146760d514eea96131177878a
|
[
"ECL-2.0",
"Apache-2.0"
] | 6
|
2020-11-24T15:55:35.000Z
|
2021-12-31T11:52:56.000Z
|
tests/benchmark/preprocess_img/__init__.py
|
mpascucci/AST-image-processing
|
54111e874237f0c146760d514eea96131177878a
|
[
"ECL-2.0",
"Apache-2.0"
] | 1
|
2020-11-24T15:46:15.000Z
|
2020-11-24T15:46:15.000Z
|
tests/benchmark/preprocess_img/__init__.py
|
mpascucci/AST-image-processing
|
54111e874237f0c146760d514eea96131177878a
|
[
"ECL-2.0",
"Apache-2.0"
] | 3
|
2021-02-04T10:08:43.000Z
|
2022-02-21T02:00:47.000Z
|
from .preproc import preprocess, preprocess_one_image, PreprocResults, ErrorInPreproc
| 43
| 85
| 0.872093
| 9
| 86
| 8.111111
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081395
| 86
| 1
| 86
| 86
| 0.924051
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0de90127706b9c18be917dcabf2c556be23e449e
| 21
|
py
|
Python
|
examples/os_environ.py
|
lyvd/bandit4mal
|
b1ca9eb773ebed84d04cfeb589d028af532d1d11
|
[
"Apache-2.0"
] | null | null | null |
examples/os_environ.py
|
lyvd/bandit4mal
|
b1ca9eb773ebed84d04cfeb589d028af532d1d11
|
[
"Apache-2.0"
] | null | null | null |
examples/os_environ.py
|
lyvd/bandit4mal
|
b1ca9eb773ebed84d04cfeb589d028af532d1d11
|
[
"Apache-2.0"
] | null | null | null |
import os
os.environ
| 7
| 10
| 0.809524
| 4
| 21
| 4.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 21
| 2
| 11
| 10.5
| 0.944444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
21b6c0258408383bc78d945ab25508e7d60946ce
| 58
|
py
|
Python
|
temp/eng - 20220411/__init__.py
|
Rabmelon/tiSPHi
|
8ffb0e505edd01cb31cb049bfe54f1f2b99cf121
|
[
"MIT"
] | 5
|
2022-01-03T12:14:34.000Z
|
2022-02-11T01:22:52.000Z
|
temp/eng - 20220411/__init__.py
|
Rabmelon/taichiCourse01_tiSPHi
|
8ffb0e505edd01cb31cb049bfe54f1f2b99cf121
|
[
"MIT"
] | null | null | null |
temp/eng - 20220411/__init__.py
|
Rabmelon/taichiCourse01_tiSPHi
|
8ffb0e505edd01cb31cb049bfe54f1f2b99cf121
|
[
"MIT"
] | null | null | null |
from . import soilsph, sph_solver, particle_system, wcsph
| 29
| 57
| 0.810345
| 8
| 58
| 5.625
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12069
| 58
| 1
| 58
| 58
| 0.882353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
21b82da21375c9efc3a76d16a4690f19409cc41f
| 96
|
py
|
Python
|
enthought/chaco/tools/range_selection.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/chaco/tools/range_selection.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/chaco/tools/range_selection.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from __future__ import absolute_import
from chaco.tools.range_selection import *
| 24
| 41
| 0.84375
| 13
| 96
| 5.769231
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114583
| 96
| 3
| 42
| 32
| 0.882353
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
1d025a40eeb5a4a634a53379a7fdd61b3c39caff
| 228
|
py
|
Python
|
api/admin.py
|
Alok-Blueocean/InstructorChat
|
63fb31340b111fa99cfbb747b15a91fea3d94fe8
|
[
"MIT"
] | null | null | null |
api/admin.py
|
Alok-Blueocean/InstructorChat
|
63fb31340b111fa99cfbb747b15a91fea3d94fe8
|
[
"MIT"
] | null | null | null |
api/admin.py
|
Alok-Blueocean/InstructorChat
|
63fb31340b111fa99cfbb747b15a91fea3d94fe8
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Question,Answer,AnswerRequest,AnswerResponse
admin.site.register(Question)
admin.site.register(Answer)
admin.site.register(AnswerRequest)
admin.site.register(AnswerResponse)
| 28.5
| 64
| 0.850877
| 28
| 228
| 6.928571
| 0.428571
| 0.185567
| 0.350515
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057018
| 228
| 7
| 65
| 32.571429
| 0.902326
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1d0404076bc8f2cf4cc0869215378952fa83a6ce
| 211
|
py
|
Python
|
clippy/__init__.py
|
mjddev/clippy
|
98590aa5b4a9625a6b9ec976a7b9d5b3afa1ec17
|
[
"MIT-0",
"MIT"
] | null | null | null |
clippy/__init__.py
|
mjddev/clippy
|
98590aa5b4a9625a6b9ec976a7b9d5b3afa1ec17
|
[
"MIT-0",
"MIT"
] | null | null | null |
clippy/__init__.py
|
mjddev/clippy
|
98590aa5b4a9625a6b9ec976a7b9d5b3afa1ec17
|
[
"MIT-0",
"MIT"
] | null | null | null |
# Copyright 2020 Lawrence Livermore National Security, LLC and other CLIPPy Project Developers.
# See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: MIT
from clippy.clippy import Clippy
| 30.142857
| 95
| 0.800948
| 29
| 211
| 5.827586
| 0.862069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022099
| 0.14218
| 211
| 6
| 96
| 35.166667
| 0.911602
| 0.796209
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 1
| 0
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
df174c226dd11cf42bfca0f15ec1ecc2feaebd55
| 137
|
py
|
Python
|
src/scheduler/scheduler/application/SendMissMail/SendMissMailCommand.py
|
ahmetcagriakca/pythondataintegrator
|
079b968d6c893008f02c88dbe34909a228ac1c7b
|
[
"MIT"
] | 1
|
2020-12-18T21:37:28.000Z
|
2020-12-18T21:37:28.000Z
|
src/scheduler/scheduler/application/SendMissMail/SendMissMailCommand.py
|
ahmetcagriakca/pythondataintegrator
|
079b968d6c893008f02c88dbe34909a228ac1c7b
|
[
"MIT"
] | null | null | null |
src/scheduler/scheduler/application/SendMissMail/SendMissMailCommand.py
|
ahmetcagriakca/pythondataintegrator
|
079b968d6c893008f02c88dbe34909a228ac1c7b
|
[
"MIT"
] | 1
|
2020-12-18T21:37:31.000Z
|
2020-12-18T21:37:31.000Z
|
from dataclasses import dataclass
from pdip.cqrs import ICommand
@dataclass
class SendMissMailCommand(ICommand):
JobId: int = None
| 17.125
| 36
| 0.79562
| 16
| 137
| 6.8125
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153285
| 137
| 7
| 37
| 19.571429
| 0.939655
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
df190a1c7cbc0f8648a2571a12f8427b90e52b49
| 120
|
py
|
Python
|
src/ifcxml-checker/ifcheck/__init__.py
|
NicoLaessig/IFCheckerXML
|
d7190938800f2d58b41c92db6d09f8b4fb224546
|
[
"MIT"
] | null | null | null |
src/ifcxml-checker/ifcheck/__init__.py
|
NicoLaessig/IFCheckerXML
|
d7190938800f2d58b41c92db6d09f8b4fb224546
|
[
"MIT"
] | null | null | null |
src/ifcxml-checker/ifcheck/__init__.py
|
NicoLaessig/IFCheckerXML
|
d7190938800f2d58b41c92db6d09f8b4fb224546
|
[
"MIT"
] | null | null | null |
__all__ = ["formal_propositions", "validator"]
from .formal_propositions import Rules
from .validator import Validator
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0
| 5
|
df2eda18efcd96c81946e2582dfdda4d4cb18457
| 62
|
py
|
Python
|
ncc/video/__init__.py
|
NCC-AI/ncc
|
c53379abcb21eb18268591239d02f69a148df6c5
|
[
"MIT"
] | null | null | null |
ncc/video/__init__.py
|
NCC-AI/ncc
|
c53379abcb21eb18268591239d02f69a148df6c5
|
[
"MIT"
] | null | null | null |
ncc/video/__init__.py
|
NCC-AI/ncc
|
c53379abcb21eb18268591239d02f69a148df6c5
|
[
"MIT"
] | null | null | null |
from .utils import FPS
from .VideoProcess import VideoProcess
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| 38
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0
| 5
|
df467f95edf2bddfc49f9ea7c66e18c429cd9335
| 65,937
|
py
|
Python
|
fn_bigfix/fn_bigfix/util/customize.py
|
nickpartner-goahead/resilient-community-apps
|
097c0dbefddbd221b31149d82af9809420498134
|
[
"MIT"
] | 65
|
2017-12-04T13:58:32.000Z
|
2022-03-24T18:33:17.000Z
|
fn_bigfix/fn_bigfix/util/customize.py
|
nickpartner-goahead/resilient-community-apps
|
097c0dbefddbd221b31149d82af9809420498134
|
[
"MIT"
] | 48
|
2018-03-02T19:17:14.000Z
|
2022-03-09T22:00:38.000Z
|
fn_bigfix/fn_bigfix/util/customize.py
|
nickpartner-goahead/resilient-community-apps
|
097c0dbefddbd221b31149d82af9809420498134
|
[
"MIT"
] | 95
|
2018-01-11T16:23:39.000Z
|
2022-03-21T11:34:29.000Z
|
# -*- coding: utf-8 -*-
"""Generate the Resilient customizations required for fn_bigfix"""
from __future__ import print_function
from resilient_circuits.util import *
def codegen_reload_data():
"""Parameters to codegen used to generate the fn_bigfix package"""
reload_params = {"package": u"fn_bigfix",
"incident_fields": [],
"action_fields": [],
"function_params": [u"bigfix_action_id", u"bigfix_artifact_id", u"bigfix_artifact_properties_name", u"bigfix_artifact_properties_value", u"bigfix_artifact_type", u"bigfix_artifact_value", u"bigfix_asset_id", u"bigfix_asset_name", u"bigfix_incident_id", u"bigfix_incident_plan_status"],
"datatables": [u"res_bigfix_query_results"],
"message_destinations": [u"fn_bigfix"],
"functions": [u"fn_bigfix_action_status", u"fn_bigfix_artifact", u"fn_bigfix_assets", u"fn_bigfix_remediation"],
"phases": [],
"automatic_tasks": [],
"scripts": [],
"workflows": [u"bigfix_query_for_artifact", u"bigfix_remediate", u"bigfix_retrieve_resource_details", u"bigfix_update_action_status"],
"actions": [u"Example: BigFix Query for Artifact", u"Example: BigFix Remediate", u"Example: BigFix Retrieve Resource Details", u"Example: BigFix Update Action status"]
}
return reload_params
def customization_data(client=None):
"""Produce any customization definitions (types, fields, message destinations, etc)
that should be installed by `resilient-circuits customize`
"""
# This import data contains:
# Function inputs:
# bigfix_action_id
# bigfix_artifact_id
# bigfix_artifact_properties_name
# bigfix_artifact_properties_value
# bigfix_artifact_type
# bigfix_artifact_value
# bigfix_asset_id
# bigfix_asset_name
# bigfix_incident_id
# bigfix_incident_plan_status
# DataTables:
# res_bigfix_query_results
# Message Destinations:
# fn_bigfix
# Functions:
# fn_bigfix_action_status
# fn_bigfix_artifact
# fn_bigfix_assets
# fn_bigfix_remediation
# Workflows:
# bigfix_query_for_artifact
# bigfix_remediate
# bigfix_retrieve_resource_details
# bigfix_update_action_status
# Rules:
# Example: BigFix Query for Artifact
# Example: BigFix Remediate
# Example: BigFix Retrieve Resource Details
# Example: BigFix Update Action status
yield ImportDefinition(u"""
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MjUwMTM1fQ==
"""
)
| 74.253378
| 306
| 0.971351
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0
| 5
|
33d3bc072f958e13a9790c87fb9d11028b0b27e1
| 63
|
py
|
Python
|
__init__.py
|
aaronchantrill/HowAreYou
|
a2b1425dfcd496c24dfbca9139897821433b4059
|
[
"MIT"
] | 2
|
2020-04-20T02:37:58.000Z
|
2022-03-06T06:00:16.000Z
|
__init__.py
|
aaronchantrill/HowAreYou
|
a2b1425dfcd496c24dfbca9139897821433b4059
|
[
"MIT"
] | null | null | null |
__init__.py
|
aaronchantrill/HowAreYou
|
a2b1425dfcd496c24dfbca9139897821433b4059
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from .HowAreYou import HowAreYouPlugin
| 21
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0
| 5
|
33e2e6cf3aff235c5db062b5c262390eb6f1e8e4
| 27
|
py
|
Python
|
src/dataclass_dict/__version__.py
|
Cerberus1746/dataclass_dict
|
7f75c3e5065c63f18aa526060b4f5749db22ed6f
|
[
"MIT"
] | 4
|
2020-03-06T15:23:19.000Z
|
2021-04-08T02:43:40.000Z
|
src/dataclass_dict/__version__.py
|
Cerberus1746/dataclass_dict
|
7f75c3e5065c63f18aa526060b4f5749db22ed6f
|
[
"MIT"
] | null | null | null |
src/dataclass_dict/__version__.py
|
Cerberus1746/dataclass_dict
|
7f75c3e5065c63f18aa526060b4f5749db22ed6f
|
[
"MIT"
] | null | null | null |
__version__: str = "0.0.7"
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0
| 5
|
33ee86e9155498216a8663206c57c6015a2e4e7f
| 14,482
|
py
|
Python
|
scripts/python/LaidlawFX/file.py
|
LaidlawFX/LaidlawFX
|
ee8133dbf452b2b14a2e915878cc15c0517b4154
|
[
"MIT"
] | 23
|
2019-02-21T05:20:46.000Z
|
2021-06-15T06:45:22.000Z
|
scripts/python/LaidlawFX/file.py
|
LaidlawFX/LaidlawFX
|
ee8133dbf452b2b14a2e915878cc15c0517b4154
|
[
"MIT"
] | 1
|
2019-03-16T14:25:15.000Z
|
2019-03-25T03:13:30.000Z
|
scripts/python/LaidlawFX/file.py
|
LaidlawFX/LaidlawFX
|
ee8133dbf452b2b14a2e915878cc15c0517b4154
|
[
"MIT"
] | 2
|
2019-08-04T03:46:40.000Z
|
2019-08-22T05:46:59.000Z
|
# =============================================================================
# IMPORTS
# =============================================================================
import os
import hou
import inspect
# =============================================================================
# FUNCTIONS
# =============================================================================
# -----------------------------------------------------------------------------
# Name: load(node, geo, path)
# Raises: N/A
# Returns: None
# Desc: Loads the geo like a file sop.
# -----------------------------------------------------------------------------
def load(node, geo, path):
nodePath = node.path()
function = inspect.stack()[0][3]
try:
missingframe = node.evalParm("missingframe")
try:
_geo = hou.Geometry()
_geo.loadFromFile(path)
geo.merge(_geo)
except hou.OperationFailed:
print("Could not load: " + path)
except hou.GeometryPermissionError:
print("Permissions Issue, are the files locked?")
except (KeyboardInterrupt, SystemExit):
print("Interrupt requested of "+function+" for "+nodePath+"...exiting")
return
# -----------------------------------------------------------------------------
# Name: write(node, geo, path)
# Raises: N/A
# Returns: None
# Desc: Loads the geo like a file sop.
# -----------------------------------------------------------------------------
def write(node, geo, path):
nodePath = node.path()
function = inspect.stack()[0][3]
try:
missingframe = node.evalParm("missingframe")
try:
geo.saveToFile(path)
except hou.OperationFailed:
print("Could not write: " + path)
except (KeyboardInterrupt, SystemExit):
print("Interrupt requested of "+function+" for "+nodePath+"...exiting")
return
# -----------------------------------------------------------------------------
# Name: read(node, geo, child)
# Raises: N/A
# Returns: None
# Desc: Read tiles
# -----------------------------------------------------------------------------
def read(node, geo, child, type):
nodePath = node.path()
function = inspect.stack()[0][3]
try:
missingframe = node.evalParm("missingframe")
enableTile = node.evalParm("enableTile")
skipInput = node.evalParm("skipInput")
filePath = node.hm().path.filePath(node)
dataList = []
if skipInput or len(node.node("IN").inputs()) == 0:
g_dataList = []
if type == "cells":
if enableTile:
get_cell_num = child.inputs()[2].geometry()
g_dataList = get_cell_num.attribValue("dataList")
g_dataList = [str(int(c)).zfill(5) for c in g_dataList.split(',')]
try:
_dataList = node.evalParm("dataList").replace(' ', '')
dataList = [str(int(c)).zfill(5) for c in _dataList.split(',')]
dataList += g_dataList
except ValueError:
if not g_dataList:
if missingframe == 0:
raise hou.NodeError("Invalid "+type+" parameter")
else:
raise hou.NodeWarning("Invalid "+type+" parameter")
else:
dataList = g_dataList
elif type == "tiles":
get_tile_num = child.inputs()[2].geometry()
try:
g_dataList = get_tile_num.attribValue("dataList")
g_dataList = [str("x" + t.replace("_", "_y")) for t in g_dataList.split(',')]
except:
print("No Data List...exiting")
return
if not g_dataList:
if missingframe == 0:
raise hou.NodeError("Invalid "+type+" parameter")
else:
raise hou.NodeWarning("Invalid "+type+" parameter")
else:
dataList = g_dataList
else:
input_geo = child.inputs()[1].geometry()
_dataList = input_geo.attribValue("dataList")
if not _dataList:
if missingframe == 0:
raise hou.NodeError("'dataList' detail attribute not found on input")
else:
raise hou.NodeWarning("'dataList' detail attribute not found on input")
if type == "cells":
dataList = [str(int(c)).zfill(5) for c in _dataList.split(',')]
elif type == "tiles":
dataList = [str("x" + t.replace("_", "_y")) for t in _dataList.split(',')]
if not dataList:
if missingframe == 0:
raise hou.NodeError(type +" parameter is empty")
else:
raise hou.NodeWarning(type +" parameter is empty")
dataList = list(set(dataList))
for data in dataList:
if type == "cells":
file = filePath.replace("%CELLNUM%", data)
elif type == "tiles":
file = filePath.replace("%TILENUM%", data)
if not os.path.exists(file): continue
if os.path.getsize(file) == 594L: continue
node.hm().file.load(node, geo, file)
except (KeyboardInterrupt, SystemExit):
print("Interrupt requested of "+function+" for "+nodePath+"...exiting")
return
# -----------------------------------------------------------------------------
# Name: readPattern(node, geo, child, type)
# Raises: N/A
# Returns: None
# Desc: Fetch tile geos from prefix / label pattern, this is way slower than direct loading
# as the entier cache folder must be parse to fetch valid files.
# -----------------------------------------------------------------------------
def readPattern(node, geo, child, type):
nodePath = node.path()
function = inspect.stack()[0][3]
try:
missingframe = node.evalParm("missingframe")
skipInput = node.evalParm("skipInput")
enableTile = node.evalParm("enableTile")
folderSubType = node.hm().path.folderSubType(node)
label_pattern = node.evalParm("label")
prefix_pattern = node.evalParm("prefix")
filePath = node.hm().path.filePath(node)
dataList = []
if skipInput or len(node.node("IN").inputs()) == 0:
g_dataList = []
if type == "cells":
if enableTile:
get_cell_num = child.inputs()[2].geometry()
g_dataList = get_cell_num.attribValue("dataList")
g_dataList = [str(int(c)).zfill(5) for c in g_dataList.split(',')]
try:
_dataList = node.evalParm("dataList").replace(' ', '')
dataList = [str(int(c)).zfill(5) for c in _dataList.split(',')]
dataList += g_dataList
except ValueError:
if not g_list:
if missingframe == 0:
raise hou.NodeError("Invalid data parameter")
else:
raise hou.NodeWarning("Invalid data parameter")
else:
dataList = g_dataList
elif type == "tiles":
get_tile_num = child.inputs()[2].geometry()
g_dataList = get_tile_num.attribValue("dataList")
g_dataList = [str("x" + t.replace("_", "_y")) for t in g_dataList.split(',')]
if not g_dataList:
if missingframe == 0:
raise hou.NodeError("Invalid data parameter")
else:
raise hou.NodeWarning("Invalid data parameter")
else:
dataList = g_dataList
else:
input_geo = child.inputs()[1].geometry()
_dataList = input_geo.attribValue("dataList")
if not _dataList:
if missingframe == 0:
raise hou.NodeError("'dataList' detail attribute not found on input")
else:
raise hou.NodeWarning("'dataList' detail attribute not found on input")
if type == "cells":
dataList = [str("x" + t.replace("_", "_y")) for t in _dataList.split(',')]
if type == "tiles":
dataList = [str(int(c)).zfill(5) for c in _dataList.split(',')]
if not dataList:
if missingframe == 0:
if missingframe == 0:
raise hou.NodeError("data parameter is empty")
else:
raise hou.NodeWarning("data parameter is empty")
try:
dataList = list(set(dataList))
path_root = os.path.dirname(filePath)
if type == "cells":
valid_files = [f for f in os.listdir(path_root) if \
f.split('_')[-1].split('.', 1)[0] in dataList]
if type == "tiles":
valid_files = [f for f in os.listdir(path_root) if \
f.split('.')[0][-7:] in dataList]
for f in valid_files:
# check if label matches
if label_pattern and label_pattern != '*':
current = f.split(folderSubType + '_')[-1]
if type == "cells":
file_label = current.split("cell")[0]
if type == "tiles":
current = current.split('.', 1)[0]
file_label = current.replace(current[-8:], '')
# doesn't have label
if not file_label:
continue
if not hou.patternMatch(label_pattern, file_label):
continue
# check if prefix matches
if prefix_pattern and prefix_pattern != '*':
_p = f.split(folderSubType)[0]
if not _p:
continue
if not hou.patternMatch(prefix_pattern, _p):
continue
file = path_root + '/' + f
node.hm().file.load(node, geo, file)
except WindowsError:
print("Path error: " + filePath)
except (KeyboardInterrupt, SystemExit):
print("Interrupt requested of "+function+" for "+nodePath+"...exiting")
return
# -----------------------------------------------------------------------------
# Name: readSingle(node, geo, type)
# Raises: N/A
# Returns: None
# Desc: Writes CSV files
# -----------------------------------------------------------------------------
def readSingle(node, geo, type):
nodePath = node.path()
function = inspect.stack()[0][3]
try:
missingframe = node.evalParm("missingframe")
filePath = node.hm().path.filePath(node)
if "%TILENUM%" in filePath:
tilex = node.parm("tilex").evalAsString().zfill(2)
tiley = node.parm("tiley").evalAsString().zfill(2)
filePath = filePath.replace("%TILENUM%", "x" + tilex + "_y" + tiley)
node.hm().file.load(node, geo, filePath)
except (KeyboardInterrupt, SystemExit):
print("Interrupt requested of "+function+" for "+nodePath+"...exiting")
return
# -----------------------------------------------------------------------------
# Name: readSinglePattern(node, geo, type)
# Raises: N/A
# Returns: None
# Desc: Writes CSV files
# -----------------------------------------------------------------------------
def readSinglePattern(node, geo, type):
nodePath = node.path()
function = inspect.stack()[0][3]
try:
filePath = node.hm().path.filePath(node)
label_pattern = node.evalParm("label")
prefix_pattern = node.evalParm("prefix")
folderSubType = node.hm().path.folderSubType(node)
data_level = node.hm().path.folderDataType(node)
tile = "_x{}_y{}".format(str(node.evalParm("tilex")).zfill(2),
str(node.evalParm("tiley")).zfill(2))
root, f = os.path.split(filePath)
if data_level == "tile":
files = [n for n in os.listdir(root) if tile in n]
else:
files = os.listdir(root)
for f in files:
# check if label matches
if label_pattern and label_pattern != '*':
current = f.split(folderSubType + '_')[-1]
file_pattern = current.split(tile)[0]
if not hou.patternMatch(label_pattern, file_pattern):
continue
# check if prefix matches
if prefix_pattern and prefix_pattern != '*':
_p = f.split(folderSubType)[0]
if not _p:
continue
if not hou.patternMatch(prefix_pattern, _p):
continue
file = path_root + '/' + f
node.hm().file.load(node, geo, file)
except (KeyboardInterrupt, SystemExit):
print("Interrupt requested of "+function+" for "+nodePath+"...exiting")
return
| 41.259259
| 106
| 0.431087
| 1,246
| 14,482
| 4.921348
| 0.130819
| 0.033757
| 0.027723
| 0.026093
| 0.758154
| 0.751305
| 0.705316
| 0.676451
| 0.676451
| 0.664873
| 0
| 0.006272
| 0.383511
| 14,482
| 351
| 107
| 41.259259
| 0.680556
| 0.143488
| 0
| 0.77459
| 0
| 0
| 0.091939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.012295
| null | null | 0.045082
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d5137b5ff952ecccb654aae1820794d7768733f9
| 24
|
py
|
Python
|
tests/__init__.py
|
toha10/CloudFerry
|
5f844a480d3326d1fea74cca35b648c32d390fab
|
[
"Apache-2.0"
] | 11
|
2019-08-11T07:52:02.000Z
|
2022-02-04T20:56:56.000Z
|
tests/__init__.py
|
toha10/CloudFerry
|
5f844a480d3326d1fea74cca35b648c32d390fab
|
[
"Apache-2.0"
] | 1
|
2019-06-14T06:10:22.000Z
|
2019-06-16T05:18:53.000Z
|
tests/__init__.py
|
toha10/CloudFerry
|
5f844a480d3326d1fea74cca35b648c32d390fab
|
[
"Apache-2.0"
] | 1
|
2020-07-14T14:46:26.000Z
|
2020-07-14T14:46:26.000Z
|
from scheduler import *
| 12
| 23
| 0.791667
| 3
| 24
| 6.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 24
| 1
| 24
| 24
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1d218dca973dd6069890299e684534b90b4922cb
| 120
|
py
|
Python
|
verdandi/__init__.py
|
exler/verdandi
|
631ca177cb374547e5ee48265f1cd74385bae22d
|
[
"MIT"
] | null | null | null |
verdandi/__init__.py
|
exler/verdandi
|
631ca177cb374547e5ee48265f1cd74385bae22d
|
[
"MIT"
] | null | null | null |
verdandi/__init__.py
|
exler/verdandi
|
631ca177cb374547e5ee48265f1cd74385bae22d
|
[
"MIT"
] | null | null | null |
"""
Benchmarking framework
"""
# flake8: noqa
from .benchmark import Benchmark
from .main import main # type: ignore
| 13.333333
| 38
| 0.725
| 14
| 120
| 6.214286
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010101
| 0.175
| 120
| 8
| 39
| 15
| 0.868687
| 0.408333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
1d3c997d1d4e42f335681ec0e2a1412f21719761
| 271
|
py
|
Python
|
tests/test_init.py
|
corranwebster/pypercard
|
90da552ddc94b37861fa469a006c45f976803b43
|
[
"MIT"
] | 72
|
2019-07-26T21:15:30.000Z
|
2022-01-04T03:39:28.000Z
|
tests/test_init.py
|
corranwebster/pypercard
|
90da552ddc94b37861fa469a006c45f976803b43
|
[
"MIT"
] | 18
|
2019-07-29T07:54:23.000Z
|
2020-06-28T11:29:46.000Z
|
tests/test_init.py
|
corranwebster/pypercard
|
90da552ddc94b37861fa469a006c45f976803b43
|
[
"MIT"
] | 9
|
2019-07-29T19:56:56.000Z
|
2021-09-30T04:23:43.000Z
|
"""
Tests the __init__ for pypercard exports the expected objects in __all__
"""
import pypercard
def test_all():
"""
Ensure only the expected objects are exported in this module.
"""
assert pypercard.__all__ == ["Card", "CardApp", "Inputs", "palette"]
| 22.583333
| 72
| 0.682657
| 33
| 271
| 5.212121
| 0.727273
| 0.127907
| 0.209302
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.199262
| 271
| 11
| 73
| 24.636364
| 0.792627
| 0.494465
| 0
| 0
| 0
| 0
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
1d58ec30b5198ae29a59955fa0dcc3cd5e30308e
| 16
|
py
|
Python
|
homeworks/ilya_nilov/keeper.py
|
tgrx/Z22
|
b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff
|
[
"Apache-2.0"
] | null | null | null |
homeworks/ilya_nilov/keeper.py
|
tgrx/Z22
|
b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff
|
[
"Apache-2.0"
] | 8
|
2019-11-15T18:15:56.000Z
|
2020-02-03T18:05:05.000Z
|
homeworks/ilya_nilov/keeper.py
|
tgrx/Z22
|
b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff
|
[
"Apache-2.0"
] | null | null | null |
print("keeper")
| 8
| 15
| 0.6875
| 2
| 16
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 16
| 1
| 16
| 16
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
1d6300ddbfcb13094575e2e9a6acaca0234b58fe
| 166
|
py
|
Python
|
src/unittest/python/rds_log_dog_tests.py
|
ImmobilienScout24/rds_log_dog
|
f8df42b78f24856358db15b20675f0a155a02f19
|
[
"MIT"
] | 1
|
2018-01-11T18:36:28.000Z
|
2018-01-11T18:36:28.000Z
|
src/unittest/python/rds_log_dog_tests.py
|
ImmobilienScout24/rds_log_dog
|
f8df42b78f24856358db15b20675f0a155a02f19
|
[
"MIT"
] | 2
|
2017-01-05T15:45:47.000Z
|
2018-04-16T11:12:01.000Z
|
src/unittest/python/rds_log_dog_tests.py
|
ImmobilienScout24/rds_log_dog
|
f8df42b78f24856358db15b20675f0a155a02f19
|
[
"MIT"
] | 5
|
2017-01-05T15:39:02.000Z
|
2018-04-16T10:37:44.000Z
|
import unittest2
class TestRDSLogDog(unittest2.TestCase):
def test_foo(self):
import rds_log_dog
from rds_log_dog.rds_log_dog import RDSLogDog
| 18.444444
| 53
| 0.740964
| 23
| 166
| 5.043478
| 0.608696
| 0.155172
| 0.232759
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015267
| 0.210843
| 166
| 8
| 54
| 20.75
| 0.870229
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.6
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d58ecc44fbdcf65fce71d6c7a91ff1715148126a
| 194
|
py
|
Python
|
data/strategies/publishers/cambridge_home.py
|
jamesrharwood/journal-guidelines
|
fe6c0a6d3c0443df6fc816b9503fad24459ddb4a
|
[
"MIT"
] | null | null | null |
data/strategies/publishers/cambridge_home.py
|
jamesrharwood/journal-guidelines
|
fe6c0a6d3c0443df6fc816b9503fad24459ddb4a
|
[
"MIT"
] | null | null | null |
data/strategies/publishers/cambridge_home.py
|
jamesrharwood/journal-guidelines
|
fe6c0a6d3c0443df6fc816b9503fad24459ddb4a
|
[
"MIT"
] | null | null | null |
url = "www.cambridge.org/core/journals/{ID}$"
extractor_args = dict(restrict_text="^information")
template = "https://www.cambridge.org/core/journals/{ID}/information/instructions-contributors"
| 48.5
| 95
| 0.778351
| 24
| 194
| 6.208333
| 0.708333
| 0.161074
| 0.201342
| 0.255034
| 0.389262
| 0.389262
| 0
| 0
| 0
| 0
| 0
| 0
| 0.046392
| 194
| 3
| 96
| 64.666667
| 0.805405
| 0
| 0
| 0
| 0
| 0
| 0.675258
| 0.190722
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d593db20e6d2f8733c925329b34e9b0da264f573
| 205
|
py
|
Python
|
flask_emails/backends.py
|
lavr/flask-emails
|
a1a47108ce7d109fe6c32b6f967445e62f7e5ef6
|
[
"Apache-2.0"
] | 37
|
2015-03-07T22:49:00.000Z
|
2022-03-24T21:03:53.000Z
|
flask_emails/backends.py
|
lavr/flask-emails
|
a1a47108ce7d109fe6c32b6f967445e62f7e5ef6
|
[
"Apache-2.0"
] | 10
|
2015-03-01T09:57:06.000Z
|
2020-11-04T23:50:38.000Z
|
flask_emails/backends.py
|
lavr/flask-emails
|
a1a47108ce7d109fe6c32b6f967445e62f7e5ef6
|
[
"Apache-2.0"
] | 9
|
2016-04-20T14:03:11.000Z
|
2019-10-03T11:25:06.000Z
|
# encoding: utf-8
class DummyResponse(object):
status_code = 250
class DummyBackend(object):
def __init__(self, **kw):
pass
def sendmail(self, **kw):
return DummyResponse()
| 15.769231
| 30
| 0.634146
| 23
| 205
| 5.434783
| 0.73913
| 0.096
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025974
| 0.24878
| 205
| 12
| 31
| 17.083333
| 0.785714
| 0.073171
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.142857
| 0
| 0.142857
| 0.857143
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
633ed7e7f4656af09f0bff10480dddfd4f50be59
| 69
|
py
|
Python
|
moire/nn/recurrents/__init__.py
|
speedcell4/moire
|
d5acaee4ee0690627f1382debdd6a6f11cec77c7
|
[
"MIT"
] | 2
|
2018-03-12T19:53:35.000Z
|
2018-04-12T08:36:22.000Z
|
moire/nn/recurrents/__init__.py
|
speedcell4/moire
|
d5acaee4ee0690627f1382debdd6a6f11cec77c7
|
[
"MIT"
] | 4
|
2018-03-11T06:01:04.000Z
|
2020-01-15T16:27:35.000Z
|
moire/nn/recurrents/__init__.py
|
speedcell4/moire
|
d5acaee4ee0690627f1382debdd6a6f11cec77c7
|
[
"MIT"
] | null | null | null |
from .lstm import LSTM, BiLSTM
from .ind_rnn import IndRNN, BiIndRNN
| 23
| 37
| 0.797101
| 11
| 69
| 4.909091
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144928
| 69
| 2
| 38
| 34.5
| 0.915254
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6347d6965f8504c64830a79f9d13369839a62af5
| 218
|
py
|
Python
|
braid/__init__.py
|
graingert/braid
|
1df63c5d8b44e079487be2f0bf099108a77872e5
|
[
"MIT"
] | 8
|
2015-10-18T11:02:54.000Z
|
2019-03-29T18:33:18.000Z
|
braid/__init__.py
|
graingert/braid
|
1df63c5d8b44e079487be2f0bf099108a77872e5
|
[
"MIT"
] | 214
|
2015-01-19T06:58:36.000Z
|
2022-02-10T10:22:30.000Z
|
braid/__init__.py
|
graingert/braid
|
1df63c5d8b44e079487be2f0bf099108a77872e5
|
[
"MIT"
] | 12
|
2015-02-08T17:32:13.000Z
|
2020-10-25T22:22:59.000Z
|
from __future__ import absolute_import
from braid.utils import (
succeeds, fails, hasSudoCapabilities,
cacheInEnvironment)
__all__ = ['succeeds', 'fails', 'hasSudoCapabilities', 'cacheInEnvironment']
| 27.25
| 76
| 0.743119
| 18
| 218
| 8.5
| 0.611111
| 0.169935
| 0.418301
| 0.653595
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165138
| 218
| 7
| 77
| 31.142857
| 0.840659
| 0
| 0
| 0
| 0
| 0
| 0.229358
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
635221c794f9d2ad230b6686041fe919e6edb4e4
| 922
|
py
|
Python
|
mictl/__main__.py
|
cloudymation/mictlantecuhtli
|
bfb2efd4caeb1879495fae7a17766c6acd7a8175
|
[
"MIT"
] | null | null | null |
mictl/__main__.py
|
cloudymation/mictlantecuhtli
|
bfb2efd4caeb1879495fae7a17766c6acd7a8175
|
[
"MIT"
] | null | null | null |
mictl/__main__.py
|
cloudymation/mictlantecuhtli
|
bfb2efd4caeb1879495fae7a17766c6acd7a8175
|
[
"MIT"
] | null | null | null |
# _*_ coding: utf-8 _*_
# !/usr/bin/env python3
"""
Mictlantecuhtli: A Multi-Cloud Global Probe Mesh Creator.
@author: Collisio-Adolebitque
"""
class CommandParser:
def __init__(self, command_string=''):
self.command = command_string
def run(self):
return self.command
class Terraform:
def __init__(self):
pass
def init(self):
pass
def plan(self):
pass
def apply(self):
pass
def destroy(self):
pass
def refresh(self):
pass
def taint(self):
pass
def untaint(self):
pass
def validate(self):
pass
class AWS:
def __init__(self):
pass
class GCP:
def __init__(self):
pass
class Azure:
def __init__(self):
pass
class Alibaba:
def __init__(self):
pass
def main():
print('Bout ye')
if __name__ == '__main__':
main()
| 12.459459
| 57
| 0.56833
| 106
| 922
| 4.584906
| 0.433962
| 0.213992
| 0.203704
| 0.185185
| 0.228395
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003236
| 0.329718
| 922
| 73
| 58
| 12.630137
| 0.783172
| 0.144252
| 0
| 0.45
| 0
| 0
| 0.019231
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.325
| 0
| 0.025
| 0.575
| 0.025
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
635863e8217791dff9c1890ff581c19dbeb2d8ef
| 20
|
py
|
Python
|
test/ifexpr_1_if_2.py
|
lijunchen/pyser
|
29349cc2036f5fb82595ed390e2a95cf6646d0bb
|
[
"MIT"
] | 6
|
2022-03-24T01:56:55.000Z
|
2022-03-25T06:24:46.000Z
|
test/ifexpr_1_if_2.py
|
lijunchen/pyser
|
29349cc2036f5fb82595ed390e2a95cf6646d0bb
|
[
"MIT"
] | null | null | null |
test/ifexpr_1_if_2.py
|
lijunchen/pyser
|
29349cc2036f5fb82595ed390e2a95cf6646d0bb
|
[
"MIT"
] | null | null | null |
1 if 2 else a, b, c
| 10
| 19
| 0.55
| 7
| 20
| 1.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0.35
| 20
| 1
| 20
| 20
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
6361e630467a273d9ef0d1a4aa2cc47ec2cb6cc2
| 93
|
py
|
Python
|
maple/cli/__init__.py
|
akashdhruv/maple
|
11e562f51b18b2251ea507c629a1981b031d2f35
|
[
"MIT"
] | null | null | null |
maple/cli/__init__.py
|
akashdhruv/maple
|
11e562f51b18b2251ea507c629a1981b031d2f35
|
[
"MIT"
] | 5
|
2021-12-24T08:55:42.000Z
|
2022-02-13T16:59:30.000Z
|
maple/cli/__init__.py
|
akashdhruv/maple
|
11e562f51b18b2251ea507c629a1981b031d2f35
|
[
"MIT"
] | null | null | null |
from ._maple import *
from ._container import *
from ._image import *
from ._system import *
| 18.6
| 25
| 0.741935
| 12
| 93
| 5.416667
| 0.5
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172043
| 93
| 4
| 26
| 23.25
| 0.844156
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
6365d2297fc9c9346477271a16b689e817942680
| 125
|
py
|
Python
|
20191209_1221.py
|
pgDora56/rough
|
8f168e9d870369c9ca1530ac72a177f849b5ee76
|
[
"Unlicense"
] | null | null | null |
20191209_1221.py
|
pgDora56/rough
|
8f168e9d870369c9ca1530ac72a177f849b5ee76
|
[
"Unlicense"
] | null | null | null |
20191209_1221.py
|
pgDora56/rough
|
8f168e9d870369c9ca1530ac72a177f849b5ee76
|
[
"Unlicense"
] | null | null | null |
print("\n".join(["FizzBuzz" if x%15==0 else ("Fizz" if x%3==0 else ("Buzz" if x%5==0 else str(x))) for x in range(1,101)]))
| 62.5
| 124
| 0.584
| 29
| 125
| 2.517241
| 0.655172
| 0.123288
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102804
| 0.144
| 125
| 1
| 125
| 125
| 0.579439
| 0
| 0
| 0
| 0
| 0
| 0.145161
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
63ac75c89a6f7b4ccadd692ac6cdde34f30ba142
| 248
|
py
|
Python
|
boosup/boosup/performance/views/__init__.py
|
developertqw2017/migrationDjango
|
f7256ec2af51da1179d2f957e1aa896191b7b514
|
[
"MIT"
] | null | null | null |
boosup/boosup/performance/views/__init__.py
|
developertqw2017/migrationDjango
|
f7256ec2af51da1179d2f957e1aa896191b7b514
|
[
"MIT"
] | 16
|
2020-02-11T23:19:19.000Z
|
2022-03-11T23:33:40.000Z
|
boosup/boosup/performance/views/__init__.py
|
developertqw2017/migrationDjango
|
f7256ec2af51da1179d2f957e1aa896191b7b514
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
#coding=utf8
'''
Created on 2016/9/16
@author: cloudy
'''
from .index import *
from .post_request import *
from .action import *
from .detail import *
from .histoty import *
from .month_detail import *
from .result import *
| 16.533333
| 27
| 0.71371
| 36
| 248
| 4.861111
| 0.638889
| 0.342857
| 0.182857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038462
| 0.16129
| 248
| 14
| 28
| 17.714286
| 0.802885
| 0.278226
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
63b404de532aecf069cab9c295889293d873235e
| 41
|
py
|
Python
|
tests/__init__.py
|
nollety/joseki
|
dffc837cff185b0a1c931de7076bbefda7742405
|
[
"MIT"
] | 3
|
2021-12-15T10:48:24.000Z
|
2022-01-11T10:06:49.000Z
|
tests/__init__.py
|
nollety/joseki
|
dffc837cff185b0a1c931de7076bbefda7742405
|
[
"MIT"
] | 120
|
2021-05-28T06:46:23.000Z
|
2022-03-31T07:15:21.000Z
|
tests/__init__.py
|
nollety/joseki
|
dffc837cff185b0a1c931de7076bbefda7742405
|
[
"MIT"
] | null | null | null |
"""Test suite for the joseki package."""
| 20.5
| 40
| 0.682927
| 6
| 41
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 41
| 1
| 41
| 41
| 0.8
| 0.829268
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
63be572d23df925839a0b9441b80f3018a00c102
| 268
|
py
|
Python
|
technician_planning/TimeInterval.py
|
ChristophBleyer/Technician-Vehicle-Routing-Optimization
|
5d425e6127f7d671f073162350357e2bffc05a01
|
[
"MIT"
] | null | null | null |
technician_planning/TimeInterval.py
|
ChristophBleyer/Technician-Vehicle-Routing-Optimization
|
5d425e6127f7d671f073162350357e2bffc05a01
|
[
"MIT"
] | 5
|
2020-12-16T18:51:24.000Z
|
2020-12-25T15:26:07.000Z
|
technician_planning/TimeInterval.py
|
ChristophBleyer/Technician-Vehicle-Routing-Optimization
|
5d425e6127f7d671f073162350357e2bffc05a01
|
[
"MIT"
] | 1
|
2021-02-28T04:51:21.000Z
|
2021-02-28T04:51:21.000Z
|
class TimeInterval:
def __init__(self, earliest, latest):
self._earliest = earliest
self._latest = latest
@property
def earliest(self):
return self._earliest
@property
def latest(self):
return self._latest
| 20.615385
| 41
| 0.61194
| 27
| 268
| 5.777778
| 0.333333
| 0.230769
| 0.179487
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.313433
| 268
| 12
| 42
| 22.333333
| 0.847826
| 0
| 0
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.3
| false
| 0
| 0
| 0.2
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
63c64cdd9779cc2c21bf8b487e7a7ed9b1ce0dbf
| 2,100
|
py
|
Python
|
tests/backup/test_move_datafiles_to_backupdir.py
|
tombaker/mklists
|
1a4150d5cc2df81604fbfbb2dbad2bd74d405a5f
|
[
"MIT"
] | 1
|
2018-07-25T13:22:31.000Z
|
2018-07-25T13:22:31.000Z
|
tests/backup/test_move_datafiles_to_backupdir.py
|
tombaker/mklists
|
1a4150d5cc2df81604fbfbb2dbad2bd74d405a5f
|
[
"MIT"
] | 8
|
2015-03-14T06:40:24.000Z
|
2019-09-04T11:40:22.000Z
|
tests/backup/test_move_datafiles_to_backupdir.py
|
tombaker/mklists
|
1a4150d5cc2df81604fbfbb2dbad2bd74d405a5f
|
[
"MIT"
] | null | null | null |
"""Moves datafiles to backup directory (just before writing new datafiles)."""
import os
from pathlib import Path
from mklists.backup import move_datafiles_to_backupdir
from mklists.config import BACKUPDIR_NAME, CONFIGFILE_NAME
def test_move_files_to_backupsub_no_datadir_specified(tmp_path):
"""Sets default of current directory if datadir directory is specified."""
os.chdir(tmp_path)
Path(CONFIGFILE_NAME).write_text("config stuff") # for _find_rootdir_path()
timestamp = "2020-02-13_1021_06488910"
tmp_datadir = Path(tmp_path) / "data"
tmp_datadir.mkdir()
os.chdir(tmp_datadir)
Path("a.txt").write_text("some content")
Path("b.txt").write_text("some content")
move_datafiles_to_backupdir(now=timestamp) # for test, must specify timestamp
expected_backup_path = Path(tmp_path) / BACKUPDIR_NAME / "data" / timestamp
expected_backupdir_files = ["a.txt", "b.txt"]
assert expected_backup_path.is_dir()
assert Path(expected_backup_path).joinpath("a.txt").is_file()
assert expected_backupdir_files == sorted(os.listdir(expected_backup_path))
assert os.listdir(tmp_datadir) == []
def test_move_files_to_backupsub_with_datadir_specified(tmp_path):
"""Sets default of current directory if datadir directory is specified."""
os.chdir(tmp_path)
Path(CONFIGFILE_NAME).write_text("config stuff") # for _find_rootdir_path()
timestamp = "2020-02-13_1021_06488910"
tmp_datadir = Path(tmp_path) / "data"
tmp_datadir.mkdir()
Path(tmp_datadir).joinpath("a.txt").write_text("some content")
Path(tmp_datadir).joinpath("b.txt").write_text("some content")
move_datafiles_to_backupdir(datadir=tmp_datadir, now=timestamp)
expected_backup_path = Path(tmp_path) / BACKUPDIR_NAME / "data" / timestamp
expected_backupdir_files = ["a.txt", "b.txt"]
assert expected_backup_path.is_dir()
assert Path(expected_backup_path).joinpath("a.txt").is_file()
assert expected_backupdir_files == sorted(os.listdir(expected_backup_path))
assert os.listdir(tmp_datadir) == []
assert Path.cwd() == tmp_path
| 46.666667
| 82
| 0.748095
| 293
| 2,100
| 5.047782
| 0.225256
| 0.067613
| 0.097363
| 0.043272
| 0.781609
| 0.781609
| 0.745098
| 0.707235
| 0.707235
| 0.707235
| 0
| 0.022063
| 0.136667
| 2,100
| 44
| 83
| 47.727273
| 0.793712
| 0.14
| 0
| 0.611111
| 0
| 0
| 0.104027
| 0.026846
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.055556
| false
| 0
| 0.111111
| 0
| 0.166667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
891d0d590b04d813b2bc77c3199b22cbf7ec63b7
| 49
|
py
|
Python
|
src/first_last.py
|
tylorschafer/code-katas
|
831fb6f37c1fa3ddb85f939b25ab4cea873ec6c6
|
[
"MIT"
] | null | null | null |
src/first_last.py
|
tylorschafer/code-katas
|
831fb6f37c1fa3ddb85f939b25ab4cea873ec6c6
|
[
"MIT"
] | null | null | null |
src/first_last.py
|
tylorschafer/code-katas
|
831fb6f37c1fa3ddb85f939b25ab4cea873ec6c6
|
[
"MIT"
] | null | null | null |
def remove_char(string):
return string[1:-1]
| 16.333333
| 24
| 0.693878
| 8
| 49
| 4.125
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04878
| 0.163265
| 49
| 2
| 25
| 24.5
| 0.756098
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
8923f3d853d98169c5df11783a7a7686255aa462
| 274
|
py
|
Python
|
aiida_vasp/data/chargedensity.py
|
chrisjsewell/aiida-vasp
|
11b6abf728efdba475c2fa24ede41c4ffe8fac64
|
[
"MIT"
] | 1
|
2021-06-13T14:40:31.000Z
|
2021-06-13T14:40:31.000Z
|
aiida_vasp/data/chargedensity.py
|
chrisjsewell/aiida-vasp
|
11b6abf728efdba475c2fa24ede41c4ffe8fac64
|
[
"MIT"
] | null | null | null |
aiida_vasp/data/chargedensity.py
|
chrisjsewell/aiida-vasp
|
11b6abf728efdba475c2fa24ede41c4ffe8fac64
|
[
"MIT"
] | null | null | null |
"""Charge density data node (stores CHGCAR files)"""
# pylint: disable=abstract-method
# explanation: pylint wrongly complains about (aiida) Node not implementing query
from aiida.orm.data.singlefile import SinglefileData
class ChargedensityData(SinglefileData):
pass
| 30.444444
| 81
| 0.79562
| 32
| 274
| 6.8125
| 0.84375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124088
| 274
| 8
| 82
| 34.25
| 0.908333
| 0.580292
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
895c4482c9247b1951655066125e2e43cb05a462
| 51
|
py
|
Python
|
src/koji_builder_kube/utils.py
|
odra/koji-scheduler
|
121142376036629af4e40b3262774b6fedb82370
|
[
"MIT"
] | 3
|
2021-09-14T18:39:38.000Z
|
2022-03-18T01:33:51.000Z
|
src/koji_builder_kube/utils.py
|
odra/koji-scheduler
|
121142376036629af4e40b3262774b6fedb82370
|
[
"MIT"
] | null | null | null |
src/koji_builder_kube/utils.py
|
odra/koji-scheduler
|
121142376036629af4e40b3262774b6fedb82370
|
[
"MIT"
] | null | null | null |
import time
def wait(seconds=5):
time.sleep(5)
| 8.5
| 20
| 0.686275
| 9
| 51
| 3.888889
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.047619
| 0.176471
| 51
| 5
| 21
| 10.2
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8961b21f07a54c36c2f18c822cdc8f8a2c6d4e73
| 141
|
py
|
Python
|
rigidbodysimulator/__init__.py
|
axelande/rigidbodysimulator
|
a87c3eb3b7978ef01efca15e66a6de6518870cd8
|
[
"MIT"
] | null | null | null |
rigidbodysimulator/__init__.py
|
axelande/rigidbodysimulator
|
a87c3eb3b7978ef01efca15e66a6de6518870cd8
|
[
"MIT"
] | 1
|
2020-10-26T19:47:02.000Z
|
2020-10-26T19:47:02.000Z
|
rigidbodysimulator/__init__.py
|
axelande/rigidbodysimulator
|
a87c3eb3b7978ef01efca15e66a6de6518870cd8
|
[
"MIT"
] | 1
|
2020-10-26T09:17:00.000Z
|
2020-10-26T09:17:00.000Z
|
import os.path
path = os.path.dirname(__file__)
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
| 20.142857
| 39
| 0.794326
| 20
| 141
| 5
| 0.5
| 0.33
| 0.36
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106383
| 141
| 6
| 40
| 23.5
| 0.793651
| 0
| 0
| 0
| 0
| 0
| 0.049645
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
898aaa72bde19e1c7e2dec09f0d9f9d1467eb6d1
| 965
|
py
|
Python
|
src/blogs/migrations/0012_auto_20180114_1938.py
|
tonybolanyo/wordplease
|
5b065b84e91ebb92d0d2af3aab4cf754a3a3b51c
|
[
"MIT"
] | null | null | null |
src/blogs/migrations/0012_auto_20180114_1938.py
|
tonybolanyo/wordplease
|
5b065b84e91ebb92d0d2af3aab4cf754a3a3b51c
|
[
"MIT"
] | 3
|
2020-06-05T17:06:13.000Z
|
2021-06-10T18:06:33.000Z
|
src/blogs/migrations/0012_auto_20180114_1938.py
|
tonybolanyo/wordplease
|
5b065b84e91ebb92d0d2af3aab4cf754a3a3b51c
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.0 on 2018-01-14 18:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blogs', '0011_auto_20180114_1937'),
]
operations = [
migrations.AlterField(
model_name='category',
name='created',
field=models.DateTimeField(auto_now_add=True, verbose_name='created'),
),
migrations.AlterField(
model_name='category',
name='updated',
field=models.DateTimeField(auto_now=True, verbose_name='updated'),
),
migrations.AlterField(
model_name='post',
name='created',
field=models.DateTimeField(auto_now_add=True, verbose_name='created'),
),
migrations.AlterField(
model_name='post',
name='updated',
field=models.DateTimeField(auto_now=True, verbose_name='updated'),
),
]
| 28.382353
| 82
| 0.586528
| 94
| 965
| 5.840426
| 0.404255
| 0.145719
| 0.182149
| 0.211293
| 0.73224
| 0.73224
| 0.582878
| 0.582878
| 0.582878
| 0.582878
| 0
| 0.044183
| 0.296373
| 965
| 33
| 83
| 29.242424
| 0.764359
| 0.04456
| 0
| 0.740741
| 1
| 0
| 0.117391
| 0.025
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.037037
| 0
| 0.148148
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
89951358ff0af71ca44973f8c50096aa1491a4cc
| 52
|
py
|
Python
|
src/bripy/examinator/__init__.py
|
brl0/bripy
|
3754b5db651180d58645bd7d32c3d5d12528ebde
|
[
"MIT"
] | null | null | null |
src/bripy/examinator/__init__.py
|
brl0/bripy
|
3754b5db651180d58645bd7d32c3d5d12528ebde
|
[
"MIT"
] | null | null | null |
src/bripy/examinator/__init__.py
|
brl0/bripy
|
3754b5db651180d58645bd7d32c3d5d12528ebde
|
[
"MIT"
] | null | null | null |
"""Examinator module."""
from .examinator import *
| 13
| 25
| 0.692308
| 5
| 52
| 7.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134615
| 52
| 3
| 26
| 17.333333
| 0.8
| 0.346154
| 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
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 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
| 5
|
9846285d5538a59b2ff40c0b4ecc7bbc3758970b
| 180
|
py
|
Python
|
tests/basics/unary_op.py
|
lurch/micropython
|
28dfbc2ba2ef41a7810e4e39290031eb2207a0a9
|
[
"MIT"
] | 2
|
2019-04-17T03:56:40.000Z
|
2019-04-17T03:56:42.000Z
|
tests/basics/unary_op.py
|
roger-/micropython
|
bad2df3e95cd5719099319d71590a79bf6bc4493
|
[
"MIT"
] | null | null | null |
tests/basics/unary_op.py
|
roger-/micropython
|
bad2df3e95cd5719099319d71590a79bf6bc4493
|
[
"MIT"
] | 2
|
2016-12-19T14:41:42.000Z
|
2019-04-07T16:13:58.000Z
|
print(not None)
print(not False)
print(not True)
print(not 0)
print(not 1)
print(not -1)
print(not ())
print(not (1,))
print(not [])
print(not [1,])
print(not {})
print(not {1:1})
| 13.846154
| 16
| 0.644444
| 34
| 180
| 3.411765
| 0.205882
| 0.827586
| 0.387931
| 0.482759
| 0.594828
| 0.517241
| 0.517241
| 0.517241
| 0.517241
| 0.517241
| 0
| 0.044872
| 0.133333
| 180
| 12
| 17
| 15
| 0.698718
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
98a3038addb3cf6895f527ea1f4ed82bcdcab2a7
| 60
|
py
|
Python
|
qencode/__init__.py
|
ankit27kh/temporaryRepoQhack
|
e7e942a1e4b23bbfeda605c6c4dc0320b08b974e
|
[
"MIT"
] | 1
|
2022-02-25T21:09:14.000Z
|
2022-02-25T21:09:14.000Z
|
qencode/__init__.py
|
ankit27kh/temporaryRepoQhack
|
e7e942a1e4b23bbfeda605c6c4dc0320b08b974e
|
[
"MIT"
] | null | null | null |
qencode/__init__.py
|
ankit27kh/temporaryRepoQhack
|
e7e942a1e4b23bbfeda605c6c4dc0320b08b974e
|
[
"MIT"
] | 4
|
2022-02-25T20:46:44.000Z
|
2022-03-29T04:31:48.000Z
|
from . import qubits_arrangement, utils, encoders, decoders
| 30
| 59
| 0.816667
| 7
| 60
| 6.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116667
| 60
| 1
| 60
| 60
| 0.90566
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
98b6e48227340813a0c4d51e199b939b1f634c2f
| 28
|
py
|
Python
|
ptf/tests/framework_tests/ReturnStatus4.py
|
sommercharles/fprime
|
f28c92e31d58e7e44bff09ad57d574ca5d5e91c7
|
[
"Apache-2.0"
] | 1
|
2022-02-15T19:28:01.000Z
|
2022-02-15T19:28:01.000Z
|
ptf/tests/framework_tests/ReturnStatus4.py
|
abcouwer-jpl/fprime
|
f28c92e31d58e7e44bff09ad57d574ca5d5e91c7
|
[
"Apache-2.0"
] | 5
|
2020-07-13T16:56:33.000Z
|
2020-07-23T20:38:13.000Z
|
ptf/tests/framework_tests/ReturnStatus4.py
|
abcouwer-jpl/fprime
|
f28c92e31d58e7e44bff09ad57d574ca5d5e91c7
|
[
"Apache-2.0"
] | null | null | null |
import sys
sys.exit(4)
| 5.6
| 11
| 0.607143
| 5
| 28
| 3.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0.285714
| 28
| 4
| 12
| 7
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7f255b84066bfc1fe65e46608d9b867c11bbf923
| 1,355
|
py
|
Python
|
pepdb/cms_pages/migrations/0013_auto_20180618_0150.py
|
dchaplinsky/pep.org.ua
|
8633a65fb657d7f04dbdb12eb8ae705fa6be67e3
|
[
"MIT"
] | 7
|
2015-12-21T03:52:46.000Z
|
2020-07-24T19:17:23.000Z
|
pepdb/cms_pages/migrations/0013_auto_20180618_0150.py
|
dchaplinsky/pep.org.ua
|
8633a65fb657d7f04dbdb12eb8ae705fa6be67e3
|
[
"MIT"
] | 12
|
2016-03-05T18:11:05.000Z
|
2021-06-17T20:20:03.000Z
|
pepdb/cms_pages/migrations/0013_auto_20180618_0150.py
|
dchaplinsky/pep.org.ua
|
8633a65fb657d7f04dbdb12eb8ae705fa6be67e3
|
[
"MIT"
] | 4
|
2016-07-17T20:19:38.000Z
|
2021-03-23T12:47:20.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.10 on 2018-06-17 22:50
from __future__ import unicode_literals
from django.db import migrations
import wagtail.wagtailcore.fields
class Migration(migrations.Migration):
dependencies = [
('cms_pages', '0012_auto_20180618_0143'),
]
operations = [
migrations.AddField(
model_name='homepage',
name='eu_desc',
field=wagtail.wagtailcore.fields.RichTextField(default='', verbose_name='[UA] \u0422\u0435\u043a\u0441\u0442 \u043f\u0440\u043e EU'),
),
migrations.AddField(
model_name='homepage',
name='eu_desc_en',
field=wagtail.wagtailcore.fields.RichTextField(default='', verbose_name='[EN] \u0422\u0435\u043a\u0441\u0442 \u043f\u0440\u043e EU'),
),
migrations.AddField(
model_name='homepage',
name='tr_desc',
field=wagtail.wagtailcore.fields.RichTextField(default='', verbose_name='[UA] \u0422\u0435\u043a\u0441\u0442 \u043f\u0440\u043e Thomson Reuters'),
),
migrations.AddField(
model_name='homepage',
name='tr_desc_en',
field=wagtail.wagtailcore.fields.RichTextField(default='', verbose_name='[EN] \u0422\u0435\u043a\u0441\u0442 \u043f\u0440\u043e Thomson Reuters'),
),
]
| 36.621622
| 158
| 0.638376
| 149
| 1,355
| 5.651007
| 0.389262
| 0.106888
| 0.142518
| 0.128266
| 0.741093
| 0.741093
| 0.741093
| 0.741093
| 0.638955
| 0.638955
| 0
| 0.143541
| 0.228782
| 1,355
| 36
| 159
| 37.638889
| 0.662201
| 0.050923
| 0
| 0.413793
| 1
| 0.068966
| 0.274357
| 0.111458
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.103448
| 0
| 0.206897
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7f29852afc169ebeebedbca26eee800e94636437
| 961
|
py
|
Python
|
bcs-ui/backend/uniapps/network/migrations/0004_auto_20220215_1435.py
|
kayinli/bk-bcs
|
93a0856175f7b066ef835921572c1cac590dbd8e
|
[
"Apache-2.0"
] | 1
|
2021-11-16T08:15:13.000Z
|
2021-11-16T08:15:13.000Z
|
bcs-ui/backend/uniapps/network/migrations/0004_auto_20220215_1435.py
|
kayinli/bk-bcs
|
93a0856175f7b066ef835921572c1cac590dbd8e
|
[
"Apache-2.0"
] | null | null | null |
bcs-ui/backend/uniapps/network/migrations/0004_auto_20220215_1435.py
|
kayinli/bk-bcs
|
93a0856175f7b066ef835921572c1cac590dbd8e
|
[
"Apache-2.0"
] | null | null | null |
# Generated by Django 3.2.2 on 2022-02-15 06:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('network', '0003_auto_20200915_1437'),
]
operations = [
migrations.AlterField(
model_name='k8sloadblance',
name='creator',
field=models.CharField(max_length=64, verbose_name='创建者'),
),
migrations.AlterField(
model_name='k8sloadblance',
name='updator',
field=models.CharField(max_length=64, verbose_name='修改者'),
),
migrations.AlterField(
model_name='mesosloadblance',
name='creator',
field=models.CharField(max_length=64, verbose_name='创建者'),
),
migrations.AlterField(
model_name='mesosloadblance',
name='updator',
field=models.CharField(max_length=64, verbose_name='修改者'),
),
]
| 28.264706
| 70
| 0.583767
| 93
| 961
| 5.870968
| 0.430108
| 0.14652
| 0.18315
| 0.212454
| 0.725275
| 0.725275
| 0.516484
| 0.516484
| 0.516484
| 0.516484
| 0
| 0.060741
| 0.297607
| 961
| 33
| 71
| 29.121212
| 0.748148
| 0.046826
| 0
| 0.740741
| 1
| 0
| 0.137856
| 0.025164
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.037037
| 0
| 0.148148
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7f2d2fd07134691f12e509fbad8c2ad4ab4e53d3
| 3,392
|
py
|
Python
|
test/test_algs.py
|
enrach21/example
|
4598bc4ec0cf0bd7decdd18b3cfe5e084b426c62
|
[
"Apache-2.0"
] | null | null | null |
test/test_algs.py
|
enrach21/example
|
4598bc4ec0cf0bd7decdd18b3cfe5e084b426c62
|
[
"Apache-2.0"
] | null | null | null |
test/test_algs.py
|
enrach21/example
|
4598bc4ec0cf0bd7decdd18b3cfe5e084b426c62
|
[
"Apache-2.0"
] | null | null | null |
import numpy as np
import math
from example import algs
# Make arrays to be tested
Test1 = np.array([1,2,4,0,1])
Test_Empty = np.array([])
Test_Ordered = np.array([1,2,3,4,5,6,7,8])
Test_Reversed = np.array([8,7,6,5,4,3,2,1])
Test_Char = np.array(['cat','Dog','elephant','Snake','bird'])
def test_intertion_sort():
TestOdd = np.array([1,2,4,0,1])
Test_Empty = np.array([])
Test_Ordered = np.array([1,2,3,4,5,6,7,8])
Test_Reversed = np.array([8,7,6,5,4,3,2,1])
Test_Char = np.array(['cat','Dog','elephant','Snake','bird'])
# Empty
assert np.array_equal(algs.insertion_sort(Test_Empty)[0], np.array([]))
# Odd
assert np.array_equal(algs.insertion_sort(TestOdd)[0], np.array([0,1,1,2,4]))
# Ordered array
assert np.array_equal(algs.insertion_sort(Test_Ordered)[0], np.array([1,2,3,4,5,6,7,8]))
# Reversed array
assert np.array_equal(algs.insertion_sort(Test_Reversed)[0], np.array([1,2,3,4,5,6,7,8]))
# Character
assert np.array_equal(algs.insertion_sort(Test_Char)[0], np.array(['Dog','Snake','bird','cat','elephant']))
def test_bubblesort():
# Actually test bubblesort here. It might be useful to think about
# some edge cases for your code, where it might fail. Some things to
# think about: (1) does your code handle 0-element arrays without
# failing, (2) does your code handle characters?
# for now, just attempt to call the bubblesort function, should
# actually check output
TestOdd = np.array([1,2,4,0,1])
Test_Empty = np.array([])
Test_Ordered = np.array([1,2,3,4,5,6,7,8])
Test_Reversed = np.array([8,7,6,5,4,3,2,1])
Test_Char = np.array(['cat','Dog','elephant','Snake','bird'])
# Empty
assert np.array_equal(algs.bubbleSort(Test_Empty)[0], np.array([]))
# Odd
assert np.array_equal(algs.bubbleSort(TestOdd)[0], np.array([0,1,1,2,4]))
# Ordered array
assert np.array_equal(algs.bubbleSort(Test_Ordered)[0], np.array([1,2,3,4,5,6,7,8]))
# Reversed array
assert np.array_equal(algs.bubbleSort(Test_Reversed)[0], np.array([1,2,3,4,5,6,7,8]))
# Character
assert np.array_equal(algs.bubbleSort(Test_Char)[0], np.array(['Dog','Snake','bird','cat','elephant']))
# Run function on range of length
X = np.arange(100,1100,100)
for i in X:
Array = np.random.rand(i)
algs.bubbleSort(Array)[0]
def test_quicksort():
TestOdd = np.array([1,2,4,0,1])
Test_Empty = np.array([])
Test_Ordered = np.array([1,2,3,4,5,6,7,8])
Test_Reversed = np.array([8,7,6,5,4,3,2,1])
Test_Char = np.array(['cat','Dog','elephant','Snake','bird'])
# Empty
assert np.array_equal(algs.quicksort(Test_Empty), np.array([]))
# Odd
assert np.array_equal(algs.quicksort(TestOdd), np.array([0,1,1,2,4]))
# Ordered array
assert np.array_equal(algs.quicksort(Test_Ordered), np.array([1,2,3,4,5,6,7,8]))
# Reversed array
assert np.array_equal(algs.quicksort(Test_Reversed), np.array([1,2,3,4,5,6,7,8]))
# Character
assert np.array_equal(algs.quicksort(Test_Char), np.array(['Dog','Snake','bird','cat','elephant']))
# Run function on range of length
X = np.arange(100,1100,100)
for i in X:
Array = np.random.rand(i)
algs.quicksort(Array)[0]
| 33.584158
| 111
| 0.623821
| 571
| 3,392
| 3.614711
| 0.155867
| 0.169574
| 0.094477
| 0.130814
| 0.787306
| 0.787306
| 0.778101
| 0.749516
| 0.701066
| 0.688469
| 0
| 0.066788
| 0.192217
| 3,392
| 100
| 112
| 33.92
| 0.686496
| 0.166568
| 0
| 0.510204
| 0
| 0
| 0.057479
| 0
| 0
| 0
| 0
| 0
| 0.306122
| 1
| 0.061224
| false
| 0
| 0.061224
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| 0.122449
| 0
| 0
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| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 5
|
7f3180e21d8c63dd3fbc87d58c01f43422a01bcb
| 14,152
|
py
|
Python
|
python/paddle/fluid/tests/unittests/test_fuse_gemm_epilogue_pass.py
|
Li-fAngyU/Paddle
|
e548f65f96697830035a28f9070b40829408ccdb
|
[
"Apache-2.0"
] | 2
|
2022-03-30T09:55:45.000Z
|
2022-03-30T09:55:49.000Z
|
python/paddle/fluid/tests/unittests/test_fuse_gemm_epilogue_pass.py
|
Li-fAngyU/Paddle
|
e548f65f96697830035a28f9070b40829408ccdb
|
[
"Apache-2.0"
] | null | null | null |
python/paddle/fluid/tests/unittests/test_fuse_gemm_epilogue_pass.py
|
Li-fAngyU/Paddle
|
e548f65f96697830035a28f9070b40829408ccdb
|
[
"Apache-2.0"
] | null | null | null |
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2022 NVIDIA Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Test cases for role makers."""
from __future__ import print_function
import paddle
import os
import unittest
import numpy as np
import paddle.fluid.core as core
def compare(ref, res, atol, rtol):
ref = np.array(ref).flatten()
res = np.array(res).flatten()
tmp_ref = ref.astype(np.float)
tol = atol + rtol * abs(tmp_ref)
diff = abs(res - ref)
indices = np.transpose(np.where(diff > tol))
if len(indices) == 0:
return True
return False
def verify_node_count(graph, node_name, target_count):
count = 0
for node in graph.nodes():
if node.name() == node_name:
count += 1
return count == target_count
class MultiFCLayer(paddle.nn.Layer):
def __init__(self, hidden, Activation):
super(MultiFCLayer, self).__init__()
self.linear1 = paddle.nn.Linear(hidden, hidden)
self.linear2 = paddle.nn.Linear(hidden, hidden)
self.linear3 = paddle.nn.Linear(hidden, hidden)
self.relu1 = Activation()
self.relu2 = Activation()
self.relu3 = Activation()
def forward(self, x, matmul_y, ele_y):
output = self.linear1(x)
output = self.relu1(output)
output = self.linear2(output)
output1 = paddle.matmul(output, matmul_y)
output = self.linear3(output)
output = self.relu2(output)
output = paddle.matmul(output, matmul_y)
output = paddle.add(output, ele_y)
output = self.relu3(output)
output = paddle.add(output, output1)
return output
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueFWDBase(unittest.TestCase):
def setUp(self):
self.batch = 64
self.seqlen = 128
self.hidden = 768
paddle.enable_static()
self.main_prog = paddle.static.Program()
self.startup_prog = paddle.static.Program()
with paddle.static.program_guard(self.main_prog, self.startup_prog):
data = paddle.static.data(
name="_data",
shape=[-1, self.seqlen, self.hidden],
dtype='float32')
matmul_y = paddle.static.data(
name="_matmul_y",
shape=[1, self.hidden, self.hidden],
dtype='float32')
ele_y = paddle.static.data(
name="_ele_y", shape=[self.hidden, ], dtype='float32')
multi_layer = MultiFCLayer(self.hidden, self._get_act_type()[0])
with paddle.static.amp.fp16_guard():
out = multi_layer(data, matmul_y, ele_y)
self.loss = paddle.mean(out)
self.data_arr = np.random.random(
(self.batch, self.seqlen, self.hidden)).astype("float32") - 0.5
self.matmul_y_arr = np.random.random(
(1, self.hidden, self.hidden)).astype("float32") - 0.5
self.ele_y_arr = np.random.random(
(self.hidden, )).astype("float32") - 0.5
self.place = paddle.CUDAPlace(0)
self.exe = paddle.static.Executor(self.place)
self.exe.run(self.startup_prog)
self._pre_test_hooks()
self.feed = {
"_data": self.data_arr,
"_matmul_y": self.matmul_y_arr,
"_ele_y": self.ele_y_arr
}
self.reference = self.exe.run(self.main_prog,
feed=self.feed,
fetch_list=[self.loss.name])
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
def _test_output(self):
build_strategy = paddle.static.BuildStrategy()
build_strategy.fuse_gemm_epilogue = True
program = paddle.static.CompiledProgram(self.main_prog)
program = program.with_data_parallel(
loss_name=self.loss.name,
build_strategy=build_strategy,
places=paddle.static.cuda_places())
result = self.exe.run(program,
feed=self.feed,
fetch_list=[self.loss.name])
self.assertTrue(
compare(self.reference, result, self.atol, self.rtol),
"[{}] outputs are miss-matched.".format(type(self).__name__))
self.assertTrue(
verify_node_count(program._graph, "fused_gemm_epilogue", 3),
"[{}] The number of fused_gemm_epilogue is miss-matched in the computing graph.".
format(type(self).__name__))
act_fwd_name = self._get_act_type()[1]
self.assertTrue(
verify_node_count(program._graph, act_fwd_name, 1),
"[{}] The number of {} is miss-matched in the computing graph.".
format(type(self).__name__, act_fwd_name))
def _pre_test_hooks(self):
self.atol = 1e-4
self.rtol = 1e-3
def _get_act_type(self):
return paddle.nn.ReLU, "relu"
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueReluFWDFP32(TestFuseGemmEpilogueFWDBase):
def _pre_test_hooks(self):
self.atol = 1e-3
self.rtol = 1e-2
def _get_act_type(self):
return paddle.nn.ReLU, "relu"
def test_output(self):
self._test_output()
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueReluFWDFP16(TestFuseGemmEpilogueReluFWDFP32):
def _pre_test_hooks(self):
self.atol = 1e-3
self.rtol = 1e-2
fp16_var_list = paddle.static.amp.cast_model_to_fp16(self.main_prog)
paddle.static.amp.cast_parameters_to_fp16(
self.place, self.main_prog, to_fp16_var_names=fp16_var_list)
self.data_arr = self.data_arr.astype("float16")
self.matmul_y_arr = self.matmul_y_arr.astype("float16")
self.ele_y_arr = self.ele_y_arr.astype("float16")
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueGeluFWDFP32(TestFuseGemmEpilogueFWDBase):
def _pre_test_hooks(self):
self.atol = 1e-4
self.rtol = 1e-3
def _get_act_type(self):
return paddle.nn.GELU, "gelu"
def test_output(self):
self._test_output()
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueGeluFWDFP16(TestFuseGemmEpilogueGeluFWDFP32):
def _pre_test_hooks(self):
self.atol = 1e-3
self.rtol = 1e-2
fp16_var_list = paddle.static.amp.cast_model_to_fp16(self.main_prog)
paddle.static.amp.cast_parameters_to_fp16(
self.place, self.main_prog, to_fp16_var_names=fp16_var_list)
self.data_arr = self.data_arr.astype("float16")
self.matmul_y_arr = self.matmul_y_arr.astype("float16")
self.ele_y_arr = self.ele_y_arr.astype("float16")
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueBWDBase(unittest.TestCase):
def setUp(self):
self.batch = 64
self.seqlen = 128
self.hidden = 768
paddle.enable_static()
self.main_prog = paddle.static.Program()
self.startup_prog = paddle.static.Program()
with paddle.static.program_guard(self.main_prog, self.startup_prog):
data = paddle.static.data(
name="_data",
shape=[-1, self.seqlen, self.hidden],
dtype='float32')
matmul_y = paddle.static.data(
name="_matmul_y",
shape=[1, self.hidden, self.hidden],
dtype='float32')
ele_y = paddle.static.data(
name="_ele_y", shape=[self.hidden, ], dtype='float32')
multi_layer = MultiFCLayer(self.hidden, self._get_act_type()[0])
with paddle.static.amp.fp16_guard():
out = multi_layer(data, matmul_y, ele_y)
self.loss = paddle.mean(out)
paddle.static.append_backward(loss=self.loss)
self.data_arr = np.random.random(
(self.batch, self.seqlen, self.hidden)).astype("float32") - 0.5
self.matmul_y_arr = np.random.random(
(1, self.hidden, self.hidden)).astype("float32") - 0.5
self.ele_y_arr = np.random.random(
(self.hidden, )).astype("float32") - 0.5
self.place = paddle.CUDAPlace(0)
self.exe = paddle.static.Executor(self.place)
self.exe.run(self.startup_prog)
self._pre_test_hooks()
self.feed = {
"_data": self.data_arr,
"_matmul_y": self.matmul_y_arr,
"_ele_y": self.ele_y_arr
}
self.fetch = [
self.loss.name,
'{}.w_0@GRAD'.format(multi_layer.linear1.full_name()),
'{}.b_0@GRAD'.format(multi_layer.linear1.full_name()),
'{}.w_0@GRAD'.format(multi_layer.linear2.full_name()),
'{}.b_0@GRAD'.format(multi_layer.linear2.full_name()),
'{}.w_0@GRAD'.format(multi_layer.linear3.full_name()),
'{}.b_0@GRAD'.format(multi_layer.linear3.full_name())
]
self.outs_ref = self.exe.run(self.main_prog,
feed=self.feed,
fetch_list=self.fetch)
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
def _test_output(self):
build_strategy = paddle.static.BuildStrategy()
build_strategy.fuse_gemm_epilogue = True
program = paddle.static.CompiledProgram(self.main_prog)
program = program.with_data_parallel(
loss_name=self.loss.name,
build_strategy=build_strategy,
places=paddle.static.cuda_places())
outs_res = self.exe.run(program, feed=self.feed, fetch_list=self.fetch)
for ref, res in zip(self.outs_ref, outs_res):
self.assertTrue(
compare(ref, res, self.atol, self.rtol),
"[{}] output is miss-matched.".format(type(self).__name__))
self.assertTrue(
verify_node_count(program._graph, "fused_gemm_epilogue", 3),
"[{}] The number of fused_gemm_epilogue is miss-matched in the computing graph.".
format(type(self).__name__))
self.assertTrue(
verify_node_count(program._graph, "fused_gemm_epilogue_grad", 3),
"[{}] The number of fused_gemm_epilogue_grad is miss-matched in the computing graph.".
format(type(self).__name__))
_, act_fwd_name, act_bwd_name = self._get_act_type()
self.assertTrue(
verify_node_count(program._graph, act_fwd_name, 1),
"[{}] The number of {} is miss-matched in the computing graph.".
format(type(self).__name__, act_fwd_name))
self.assertTrue(
verify_node_count(program._graph, act_bwd_name, 2),
"[{}] The number of {} is miss-matched in the computing graph.".
format(type(self).__name__, act_bwd_name))
def _pre_test_hooks(self):
self.atol = 1e-4
self.rtol = 1e-3
def _get_act_type(self):
return paddle.nn.ReLU, "relu", "relu_grad"
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueReLUBWDFP32(TestFuseGemmEpilogueBWDBase):
def _pre_test_hooks(self):
self.atol = 1e-4
self.rtol = 1e-3
def _get_act_type(self):
return paddle.nn.ReLU, "relu", "relu_grad"
def test_output(self):
self._test_output()
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueReLUBWDFP16(TestFuseGemmEpilogueReLUBWDFP32):
def _pre_test_hooks(self):
self.atol = 1e-3
self.rtol = 1e-2
fp16_var_list = paddle.static.amp.cast_model_to_fp16(self.main_prog)
paddle.static.amp.cast_parameters_to_fp16(
self.place, self.main_prog, to_fp16_var_names=fp16_var_list)
self.data_arr = self.data_arr.astype("float16")
self.matmul_y_arr = self.matmul_y_arr.astype("float16")
self.ele_y_arr = self.ele_y_arr.astype("float16")
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueGeLUBWDFP32(TestFuseGemmEpilogueBWDBase):
def _pre_test_hooks(self):
self.atol = 5e-4
self.rtol = 1e-3
def _get_act_type(self):
return paddle.nn.GELU, "gelu", "gelu_grad"
def test_output(self):
self._test_output()
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestFuseGemmEpilogueGeLUBWDFP16(TestFuseGemmEpilogueGeLUBWDFP32):
def _pre_test_hooks(self):
self.atol = 1e-3
self.rtol = 1e-2
fp16_var_list = paddle.static.amp.cast_model_to_fp16(self.main_prog)
paddle.static.amp.cast_parameters_to_fp16(
self.place, self.main_prog, to_fp16_var_names=fp16_var_list)
self.data_arr = self.data_arr.astype("float16")
self.matmul_y_arr = self.matmul_y_arr.astype("float16")
self.ele_y_arr = self.ele_y_arr.astype("float16")
if __name__ == "__main__":
np.random.seed(0)
unittest.main()
| 36.010178
| 98
| 0.626201
| 1,805
| 14,152
| 4.65651
| 0.12964
| 0.044259
| 0.045687
| 0.029982
| 0.758001
| 0.75467
| 0.736585
| 0.73135
| 0.688757
| 0.682332
| 0
| 0.02328
| 0.262436
| 14,152
| 392
| 99
| 36.102041
| 0.781951
| 0.047202
| 0
| 0.707071
| 0
| 0
| 0.09469
| 0.003565
| 0
| 0
| 0
| 0
| 0.026936
| 1
| 0.094276
| false
| 0
| 0.020202
| 0.020202
| 0.185185
| 0.003367
| 0
| 0
| 0
| null | 0
| 0
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| 0
| 1
| 1
| 1
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| 1
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| 1
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| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7f6e36803f49c2a07ed8338f1902f9203d9dffdc
| 2,224
|
py
|
Python
|
bot/tests.py
|
Linuxinet/sms_forwarder_bot
|
388c74aa912e07def69128c95f123a841db9e0e8
|
[
"MIT"
] | null | null | null |
bot/tests.py
|
Linuxinet/sms_forwarder_bot
|
388c74aa912e07def69128c95f123a841db9e0e8
|
[
"MIT"
] | null | null | null |
bot/tests.py
|
Linuxinet/sms_forwarder_bot
|
388c74aa912e07def69128c95f123a841db9e0e8
|
[
"MIT"
] | null | null | null |
from unittest.mock import patch, MagicMock
from django.test import TestCase, Client
from bot.models import TgUser
class TestAPIMethods(TestCase):
def setUp(self):
self.username = "test_user"
self.code = "testcode"
self.client = Client()
self.u = TgUser.create(123_456_789, self.code, self.username)
def test_check_user__user_exists(self):
response = self.client.get(f"/check_user?username={self.username}")
self.assertEqual(response.status_code, 400)
def test_check_user__user_exists_and_code_is_valid(self):
response = self.client.get(
f"/check_user?username={self.username}&code={self.code}"
)
self.assertEqual(response.status_code, 200)
def test_check_user__username_is_required(self):
response = self.client.get("/check_user")
self.assertEqual(response.status_code, 400)
def test_check_user__bad_code(self):
response = self.client.get(
f"/check_user?username={self.username}&code=random_code"
)
self.assertEqual(response.status_code, 400)
def test_check_user__bad_user(self):
response = self.client.get(f"/check_user?username=random_user")
self.assertEqual(response.status_code, 404)
@patch("bot.views.bot_instance")
def test_forward_sms__code_is_required(self, mock: MagicMock):
response = self.client.get(f"/forward?username={self.username}")
self.assertEqual(response.status_code, 400)
@patch("bot.views.bot_instance")
def test_forward_sms__username_is_required(self, mock: MagicMock):
response = self.client.get(f"/forward?code={self.code}")
self.assertEqual(response.status_code, 400)
@patch("bot.views.bot_instance")
def test_forward_sms__bad_user(self, mock: MagicMock):
response = self.client.get(f"/forward?code={self.code}&username=random_user")
self.assertEqual(response.status_code, 404)
@patch("bot.views.bot_instance")
def test_forward_sms__bad_code(self, mock: MagicMock):
response = self.client.get(
f"/forward?code=random_code&username={self.username}"
)
self.assertEqual(response.status_code, 401)
| 37.694915
| 85
| 0.695594
| 290
| 2,224
| 5.068966
| 0.165517
| 0.068027
| 0.110204
| 0.128571
| 0.772109
| 0.755102
| 0.727891
| 0.72517
| 0.661224
| 0.62381
| 0
| 0.019923
| 0.1875
| 2,224
| 58
| 86
| 38.344828
| 0.793581
| 0
| 0
| 0.304348
| 0
| 0
| 0.19964
| 0.18705
| 0
| 0
| 0
| 0
| 0.195652
| 1
| 0.217391
| false
| 0
| 0.065217
| 0
| 0.304348
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f685f0f2f7253cb8e4610ef85702d7115e0eff95
| 359
|
py
|
Python
|
tests/unit/shared/test_make_energy_bal.py
|
lingyunan0510/VIC
|
dbc00a813b5df5a88027d1dc57a7805e9a464436
|
[
"MIT"
] | 1
|
2022-01-18T01:23:47.000Z
|
2022-01-18T01:23:47.000Z
|
tests/unit/shared/test_make_energy_bal.py
|
yusheng-wang/VIC
|
8f6cc0661bdc67c4f6caabdd4dcd0b8782517435
|
[
"MIT"
] | null | null | null |
tests/unit/shared/test_make_energy_bal.py
|
yusheng-wang/VIC
|
8f6cc0661bdc67c4f6caabdd4dcd0b8782517435
|
[
"MIT"
] | null | null | null |
from vic import lib as vic_lib
def test_make_energy_bal():
assert vic_lib.make_energy_bal(4) is not None
def test_make_energy_bal_1snowband():
vic_lib.options.SNOW_BAND = 1
assert vic_lib.make_energy_bal(4) is not None
def test_make_energy_bal_5snowband():
vic_lib.options.SNOW_BAND = 5
assert vic_lib.make_energy_bal(4) is not None
| 22.4375
| 49
| 0.768802
| 66
| 359
| 3.80303
| 0.333333
| 0.143426
| 0.310757
| 0.203187
| 0.824701
| 0.577689
| 0.577689
| 0.577689
| 0.577689
| 0.577689
| 0
| 0.023333
| 0.164345
| 359
| 15
| 50
| 23.933333
| 0.813333
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0
| 0.111111
| 0
| 0.444444
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f6e9ca339742fe22c6c47c83467cf39145b3d62c
| 45
|
py
|
Python
|
main.py
|
sshubhamk1/JWT_Cookie_Creator
|
c449201e852f81d56420886e3635d2b7974111a8
|
[
"MIT"
] | null | null | null |
main.py
|
sshubhamk1/JWT_Cookie_Creator
|
c449201e852f81d56420886e3635d2b7974111a8
|
[
"MIT"
] | null | null | null |
main.py
|
sshubhamk1/JWT_Cookie_Creator
|
c449201e852f81d56420886e3635d2b7974111a8
|
[
"MIT"
] | null | null | null |
from webApp import app
app.run() # debug=True
| 22.5
| 22
| 0.755556
| 8
| 45
| 4.25
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 45
| 2
| 23
| 22.5
| 0.871795
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
f6eac62fa5f56807530153c67640ce6983d013a8
| 32
|
py
|
Python
|
foss_finder/utils/tracker/__init__.py
|
iotile/foss_finder
|
0c31530cf2158d4565a8168aecda18ffbcc68f04
|
[
"MIT"
] | 6
|
2019-03-11T22:36:55.000Z
|
2019-04-05T17:49:40.000Z
|
foss_finder/utils/tracker/__init__.py
|
iotile/foss_finder
|
0c31530cf2158d4565a8168aecda18ffbcc68f04
|
[
"MIT"
] | 11
|
2018-09-06T23:10:52.000Z
|
2020-01-14T20:49:35.000Z
|
foss_finder/utils/tracker/__init__.py
|
iotile/foss_finder
|
0c31530cf2158d4565a8168aecda18ffbcc68f04
|
[
"MIT"
] | 1
|
2020-07-16T12:21:29.000Z
|
2020-07-16T12:21:29.000Z
|
from .tracker import FossTracker
| 32
| 32
| 0.875
| 4
| 32
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 32
| 1
| 32
| 32
| 0.965517
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
f6ef5b8a89f015da85f00a35966a7fdea0c977ba
| 195
|
py
|
Python
|
tests/strict/it_double_fun_global.py
|
Euromance/pycopy
|
540cfcc52d17667a5f6b2a176427cc031029b78f
|
[
"MIT"
] | 663
|
2018-12-30T00:17:59.000Z
|
2022-03-14T05:03:41.000Z
|
tests/strict/it_double_fun_global.py
|
Euromance/pycopy
|
540cfcc52d17667a5f6b2a176427cc031029b78f
|
[
"MIT"
] | 41
|
2019-06-06T08:31:19.000Z
|
2022-02-13T16:53:41.000Z
|
tests/strict/it_double_fun_global.py
|
Euromance/pycopy
|
540cfcc52d17667a5f6b2a176427cc031029b78f
|
[
"MIT"
] | 60
|
2019-06-01T04:25:00.000Z
|
2022-02-25T01:47:31.000Z
|
global v, foo
v = 1
v = 2
print(v)
def foo():
return 1
try:
def foo():
return 2
except RuntimeError:
print("RuntimeError1")
print(foo())
def __main__():
pass
| 6.964286
| 26
| 0.553846
| 27
| 195
| 3.851852
| 0.518519
| 0.115385
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037879
| 0.323077
| 195
| 27
| 27
| 7.222222
| 0.75
| 0
| 0
| 0.142857
| 0
| 0
| 0.066667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0.071429
| 0
| 0.142857
| 0.357143
| 0.214286
| 1
| 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
| 1
| 0
| 1
| 0
| 0
|
0
| 5
|
10003f951275e64d55eec21c8e71ca722128fd01
| 139
|
py
|
Python
|
Exercises/pessoa_atributos_class_e_objeto.py
|
JeffersonOliveira/Exercises--OO2-with-Python3
|
4c9022a06ea933cd83f30b8b60c2e947e0a3250e
|
[
"MIT"
] | null | null | null |
Exercises/pessoa_atributos_class_e_objeto.py
|
JeffersonOliveira/Exercises--OO2-with-Python3
|
4c9022a06ea933cd83f30b8b60c2e947e0a3250e
|
[
"MIT"
] | null | null | null |
Exercises/pessoa_atributos_class_e_objeto.py
|
JeffersonOliveira/Exercises--OO2-with-Python3
|
4c9022a06ea933cd83f30b8b60c2e947e0a3250e
|
[
"MIT"
] | null | null | null |
class Pessoa:
tamanho_cpf = 11
p = Pessoa()
print(p.tamanho_cpf)
p.tamanho_cpf = 12
print(p.tamanho_cpf)
print(Pessoa.tamanho_cpf)
| 11.583333
| 25
| 0.726619
| 23
| 139
| 4.173913
| 0.347826
| 0.520833
| 0.34375
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034188
| 0.158273
| 139
| 12
| 25
| 11.583333
| 0.786325
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0.285714
| 0.428571
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
1006b076cd140b6eb72f99cb3e668ba4e2cebdb2
| 177
|
py
|
Python
|
bin/py/run_test_webapp.py
|
MacHu-GWU/crawlib-project
|
b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991
|
[
"MIT"
] | 1
|
2020-06-19T09:45:20.000Z
|
2020-06-19T09:45:20.000Z
|
bin/py/run_test_webapp.py
|
MacHu-GWU/crawlib-project
|
b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991
|
[
"MIT"
] | 1
|
2019-12-27T18:41:21.000Z
|
2019-12-27T18:41:21.000Z
|
bin/py/run_test_webapp.py
|
MacHu-GWU/crawlib-project
|
b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991
|
[
"MIT"
] | 1
|
2018-08-22T01:27:32.000Z
|
2018-08-22T01:27:32.000Z
|
# -*- coding: utf-8 -*-
from crawlib.tests.dummy_site.app import create_app
from crawlib.tests.dummy_site.config import PORT
app = create_app()
app.run(port=PORT, debug=True)
| 22.125
| 51
| 0.751412
| 29
| 177
| 4.448276
| 0.551724
| 0.170543
| 0.248062
| 0.325581
| 0.387597
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006369
| 0.112994
| 177
| 7
| 52
| 25.285714
| 0.815287
| 0.118644
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
63f9740227048130077bb35446d78be2aca25b6c
| 214
|
py
|
Python
|
src/graph_transpiler/webdnn/backend/webassembly/kernels/sigmoid.py
|
steerapi/webdnn
|
1df51cc094e5a528cfd3452c264905708eadb491
|
[
"MIT"
] | 1
|
2021-04-09T15:55:35.000Z
|
2021-04-09T15:55:35.000Z
|
src/graph_transpiler/webdnn/backend/webassembly/kernels/sigmoid.py
|
steerapi/webdnn
|
1df51cc094e5a528cfd3452c264905708eadb491
|
[
"MIT"
] | null | null | null |
src/graph_transpiler/webdnn/backend/webassembly/kernels/sigmoid.py
|
steerapi/webdnn
|
1df51cc094e5a528cfd3452c264905708eadb491
|
[
"MIT"
] | null | null | null |
from webdnn.backend.webassembly.kernels.elementwise import register_elementwise_kernel
from webdnn.graph.operators.sigmoid import Sigmoid
register_elementwise_kernel(Sigmoid, "y = tanh(0.5f * x0) * 0.5f + 0.5f;")
| 42.8
| 86
| 0.808411
| 30
| 214
| 5.633333
| 0.566667
| 0.053254
| 0.295858
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035897
| 0.088785
| 214
| 4
| 87
| 53.5
| 0.830769
| 0
| 0
| 0
| 0
| 0
| 0.158879
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
1248df522b27ff263a40b4171926e783c107b3c7
| 122
|
py
|
Python
|
start server.py
|
VincentChui2005/SkyBlue-web-src
|
475007d625557e8962d325eaecef2e9537f288bc
|
[
"MIT"
] | null | null | null |
start server.py
|
VincentChui2005/SkyBlue-web-src
|
475007d625557e8962d325eaecef2e9537f288bc
|
[
"MIT"
] | null | null | null |
start server.py
|
VincentChui2005/SkyBlue-web-src
|
475007d625557e8962d325eaecef2e9537f288bc
|
[
"MIT"
] | null | null | null |
import uvicorn
from SkyBlue.asgi import application
uvicorn.run(application, host="192.168.0.187", port=80, debug=True)
| 20.333333
| 67
| 0.778689
| 19
| 122
| 5
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109091
| 0.098361
| 122
| 5
| 68
| 24.4
| 0.754545
| 0
| 0
| 0
| 0
| 0
| 0.106557
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
89caaa7f20157d2f6ce35fb34beda8ccc69e2c4d
| 1,030
|
py
|
Python
|
authority_backend/migrations/0002_auto_20180605_1032.py
|
modricwang/eXpertHub-authority-backend
|
a452a64b44fb279974eeff422f58cac44017072d
|
[
"MIT"
] | null | null | null |
authority_backend/migrations/0002_auto_20180605_1032.py
|
modricwang/eXpertHub-authority-backend
|
a452a64b44fb279974eeff422f58cac44017072d
|
[
"MIT"
] | null | null | null |
authority_backend/migrations/0002_auto_20180605_1032.py
|
modricwang/eXpertHub-authority-backend
|
a452a64b44fb279974eeff422f58cac44017072d
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.0.5 on 2018-06-05 02:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('authority_backend', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='access',
name='rid',
field=models.IntegerField(default=1, max_length=20),
preserve_default=False,
),
migrations.AddField(
model_name='access',
name='uid',
field=models.IntegerField(default=1, max_length=20),
preserve_default=False,
),
migrations.AddField(
model_name='ownership',
name='rid',
field=models.IntegerField(default=1, max_length=20),
preserve_default=False,
),
migrations.AddField(
model_name='ownership',
name='uid',
field=models.IntegerField(default=1, max_length=20),
preserve_default=False,
),
]
| 27.105263
| 64
| 0.561165
| 100
| 1,030
| 5.64
| 0.41
| 0.12766
| 0.163121
| 0.191489
| 0.734043
| 0.734043
| 0.664894
| 0.664894
| 0.664894
| 0.664894
| 0
| 0.044798
| 0.328155
| 1,030
| 37
| 65
| 27.837838
| 0.770231
| 0.043689
| 0
| 0.774194
| 1
| 0
| 0.072228
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.032258
| 0
| 0.129032
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
89cea7ca72516e864a2b1a648a172ac69c699a24
| 5,599
|
py
|
Python
|
unit_tests/dependencies/audit_api/test_audit_api_service.py
|
LandRegistry/maintain-frontend
|
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
|
[
"MIT"
] | 1
|
2019-10-03T13:58:29.000Z
|
2019-10-03T13:58:29.000Z
|
unit_tests/dependencies/audit_api/test_audit_api_service.py
|
LandRegistry/maintain-frontend
|
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
|
[
"MIT"
] | null | null | null |
unit_tests/dependencies/audit_api/test_audit_api_service.py
|
LandRegistry/maintain-frontend
|
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
|
[
"MIT"
] | 1
|
2021-04-11T05:24:57.000Z
|
2021-04-11T05:24:57.000Z
|
from unittest import TestCase
from unittest.mock import patch, MagicMock
from flask import g
import json
import time
from maintain_frontend.dependencies.audit_api.audit_api import AuditAPIService
from maintain_frontend import main
from maintain_frontend.exceptions import ApplicationError
class TestAuditAPISerivice(TestCase):
def setUp(self):
self.app = main.app.test_client()
@patch('maintain_frontend.dependencies.audit_api.audit_api.socket')
def test_audit_event_success(self, mock_socket):
with main.app.test_request_context():
mock_socket.gethostbyname.return_value = "1.1.1.1"
self.mock_request()
g.requests.post.return_value = self.mock_response(status_code=201)
AuditAPIService.audit_event("A thing")
g.requests.post.assert_called()
@patch('maintain_frontend.dependencies.audit_api.audit_api.socket')
def test_audit_event_timestamps(self, mock_socket):
with main.app.test_request_context():
mock_socket.gethostbyname.return_value = "1.1.1.1"
self.mock_request()
g.requests.post.return_value = self.mock_response(status_code=201)
AuditAPIService.audit_event("A thing")
call1 = g.requests.post.call_args
args, kwargs = call1
call1_timestamp = json.loads(kwargs['data'])['activity_timestamp']
time.sleep(0.1)
AuditAPIService.audit_event("A thing")
call2 = g.requests.post.call_args
args, kwargs = call2
call2_timestamp = json.loads(kwargs['data'])['activity_timestamp']
self.assertNotEqual(call1_timestamp, call2_timestamp)
@patch('maintain_frontend.dependencies.audit_api.audit_api.socket')
def test_audit_event_supinfo_success(self, mock_socket):
with main.app.test_request_context():
mock_socket.gethostbyname.return_value = "1.1.1.1"
self.mock_request()
g.requests.post.return_value = self.mock_response(status_code=201)
AuditAPIService.audit_event("A thing", supporting_info={"another": "thing"})
g.requests.post.assert_called()
@patch('maintain_frontend.dependencies.audit_api.audit_api.socket')
@patch('maintain_frontend.dependencies.audit_api.audit_api.current_app')
def test_audit_event_exception(self, mock_app, mock_socket):
with main.app.test_request_context():
mock_socket.gethostbyname.return_value = "1.1.1.1"
self.mock_request()
g.trace_id = '123'
g.requests.post.side_effect = Exception('Test exception')
try:
AuditAPIService.audit_event("A thing")
except ApplicationError as e:
self.assertEqual(e.http_code, 500)
return
self.fail()
@patch('maintain_frontend.dependencies.audit_api.audit_api.socket')
@patch('maintain_frontend.dependencies.audit_api.audit_api.current_app')
def test_audit_event_non201(self, mock_app, mock_socket):
with main.app.test_request_context():
mock_socket.gethostbyname.return_value = "1.1.1.1"
self.mock_request()
g.trace_id = '123'
g.requests.post.return_value = self.mock_response(status_code=500, text="Something went wrong")
try:
AuditAPIService.audit_event("A thing")
except ApplicationError as e:
self.assertEqual(e.http_code, 500)
return
self.fail()
@patch('maintain_frontend.dependencies.audit_api.audit_api.socket')
def test_audit_event_machine_ip_with_supporting_info(self, mock_socket):
with main.app.test_request_context():
mock_socket.gethostbyname.return_value = "1.1.1.1"
self.mock_request()
g.requests.post.return_value = self.mock_response(status_code=201)
AuditAPIService.audit_event("A thing", supporting_info={"another": "thing"})
g.requests.post.assert_called()
message = json.loads(g.requests.post.call_args[1]['data'])
self.assertIn('machine_ip', message['supporting_info'])
self.assertEqual("1.1.1.1", message['supporting_info']['machine_ip'])
self.assertIn('another', message['supporting_info'])
self.assertEqual("thing", message['supporting_info']['another'])
@patch('maintain_frontend.dependencies.audit_api.audit_api.socket')
def test_audit_event_machine_ip_without_supporting_info(self, mock_socket):
with main.app.test_request_context():
mock_socket.gethostbyname.return_value = "1.1.1.1"
self.mock_request()
g.requests.post.return_value = self.mock_response(status_code=201)
AuditAPIService.audit_event("A thing")
g.requests.post.assert_called()
message = json.loads(g.requests.post.call_args[1]['data'])
self.assertIn('machine_ip', message['supporting_info'])
self.assertEqual("1.1.1.1", message['supporting_info']['machine_ip'])
self.assertNotIn('another', message['supporting_info'])
def mock_request(self):
g.trace_id = '333'
g.session = MagicMock()
g.session.user.id = "USER123"
g.requests = MagicMock()
def mock_response(self, status_code=200, text='', json=None):
response = MagicMock()
response.status_code = status_code
response.text = text
if json:
response.json.return_value = json
return response
| 44.436508
| 107
| 0.664583
| 678
| 5,599
| 5.231563
| 0.144543
| 0.015224
| 0.015224
| 0.093036
| 0.778686
| 0.759797
| 0.759797
| 0.704539
| 0.704539
| 0.704539
| 0
| 0.02079
| 0.226826
| 5,599
| 125
| 108
| 44.792
| 0.798568
| 0
| 0
| 0.601852
| 0
| 0
| 0.167709
| 0.09341
| 0
| 0
| 0
| 0
| 0.12963
| 1
| 0.092593
| false
| 0
| 0.074074
| 0
| 0.203704
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
89d430f9b4d272143ec095edb10f93e98df6a8e9
| 200
|
py
|
Python
|
chariot/transformer/token/__init__.py
|
Y-Kuro-u/chariot
|
032f3eecdd55b30c65351e1e636c939c4b20919e
|
[
"Apache-2.0"
] | 134
|
2018-06-11T01:40:14.000Z
|
2021-11-15T12:34:38.000Z
|
chariot/transformer/token/__init__.py
|
Y-Kuro-u/chariot
|
032f3eecdd55b30c65351e1e636c939c4b20919e
|
[
"Apache-2.0"
] | 10
|
2018-06-17T10:45:50.000Z
|
2021-04-05T05:51:11.000Z
|
chariot/transformer/token/__init__.py
|
Y-Kuro-u/chariot
|
032f3eecdd55b30c65351e1e636c939c4b20919e
|
[
"Apache-2.0"
] | 8
|
2019-02-23T06:43:21.000Z
|
2021-02-18T06:05:11.000Z
|
from .stopword_filter import StopwordFilter
from .base_form_normalizer import BaseFormNormalizer
from .number_normalizer import NumberNormalizer
from .word_frequency_filter import WordFrequencyFilter
| 40
| 54
| 0.9
| 22
| 200
| 7.909091
| 0.636364
| 0.137931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 200
| 4
| 55
| 50
| 0.945652
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d6219e5fdb47d41337fcd74a2dbff10baac6e3ee
| 98
|
py
|
Python
|
ssseg/modules/parallel/distributed/__init__.py
|
zhizhangxian/sssegmentation
|
90613f6e0abf4cdd729cf382ab2a915e106d8649
|
[
"MIT"
] | 411
|
2020-10-22T02:24:57.000Z
|
2022-03-31T11:19:17.000Z
|
ssseg/modules/parallel/distributed/__init__.py
|
zhizhangxian/sssegmentation
|
90613f6e0abf4cdd729cf382ab2a915e106d8649
|
[
"MIT"
] | 24
|
2020-12-21T03:53:54.000Z
|
2022-03-17T06:50:00.000Z
|
ssseg/modules/parallel/distributed/__init__.py
|
zhizhangxian/sssegmentation
|
90613f6e0abf4cdd729cf382ab2a915e106d8649
|
[
"MIT"
] | 59
|
2020-12-04T03:40:12.000Z
|
2022-03-30T09:12:47.000Z
|
'''initialize'''
from .model import DistributedModel
from .dataloader import DistributedDataloader
| 32.666667
| 45
| 0.836735
| 9
| 98
| 9.111111
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 98
| 3
| 45
| 32.666667
| 0.911111
| 0.102041
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d65b33bf25f4e7197fbb10ea617caaeaecb13385
| 228
|
py
|
Python
|
kalin_combat/project/figure/square.py
|
ivan-yosifov88/python_oop_june_2021
|
7ae6126065abbcce7ce97c86d1150ae307360249
|
[
"MIT"
] | 1
|
2021-08-03T19:14:24.000Z
|
2021-08-03T19:14:24.000Z
|
kalin_combat/project/figure/square.py
|
ivan-yosifov88/python_oop_june_2021
|
7ae6126065abbcce7ce97c86d1150ae307360249
|
[
"MIT"
] | null | null | null |
kalin_combat/project/figure/square.py
|
ivan-yosifov88/python_oop_june_2021
|
7ae6126065abbcce7ce97c86d1150ae307360249
|
[
"MIT"
] | null | null | null |
from project.figure.figure import Figure
class Square(Figure):
def calculate_area(self):
return self.args[0] ** 2
def calculate_circumference(self):
return self.args[0] * 4
# print(Square("test", 2))
| 19
| 40
| 0.662281
| 31
| 228
| 4.806452
| 0.580645
| 0.161074
| 0.187919
| 0.241611
| 0.255034
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027933
| 0.214912
| 228
| 12
| 41
| 19
| 0.804469
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.333333
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
d65b7c1c1300c2ec04125f13a28e444a65cb28ba
| 119
|
py
|
Python
|
imagine/app/shield/__init__.py
|
lanig35/smart
|
eea7df63533e111c902c63cfb0f74eedbd5b9fd3
|
[
"MIT"
] | null | null | null |
imagine/app/shield/__init__.py
|
lanig35/smart
|
eea7df63533e111c902c63cfb0f74eedbd5b9fd3
|
[
"MIT"
] | 1
|
2017-12-14T07:59:25.000Z
|
2017-12-14T07:59:25.000Z
|
imagine/app/shield/__init__.py
|
lanig35/smart
|
eea7df63533e111c902c63cfb0f74eedbd5b9fd3
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from flask import Blueprint
bp_shield = Blueprint ('shield', __name__)
from . import shield
| 14.875
| 42
| 0.689076
| 15
| 119
| 5.133333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010204
| 0.176471
| 119
| 7
| 43
| 17
| 0.77551
| 0.176471
| 0
| 0
| 0
| 0
| 0.0625
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 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
| 1
|
0
| 5
|
c39133f8fa8f41ef1d69a5365246a1da7996ad71
| 114
|
py
|
Python
|
problems/advent-of-code/2019/01/01/solution.py
|
Spazzy757/the-coding-interview
|
5e5355e83d87e3204538a280ef41f82817164b4a
|
[
"MIT"
] | 1,571
|
2015-12-09T14:08:47.000Z
|
2022-03-30T21:34:36.000Z
|
problems/advent-of-code/2019/01/01/solution.py
|
Spazzy757/the-coding-interview
|
5e5355e83d87e3204538a280ef41f82817164b4a
|
[
"MIT"
] | 117
|
2015-10-22T05:59:19.000Z
|
2021-09-17T00:14:38.000Z
|
problems/advent-of-code/2019/01/01/solution.py
|
Spazzy757/the-coding-interview
|
5e5355e83d87e3204538a280ef41f82817164b4a
|
[
"MIT"
] | 452
|
2015-10-21T23:00:58.000Z
|
2022-03-18T21:16:50.000Z
|
#!/usr/bin/env python3
import sys
print(sum([(int((int(line) // 3)) - 2) for line in sys.argv[1].splitlines()]))
| 22.8
| 78
| 0.631579
| 20
| 114
| 3.6
| 0.85
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.122807
| 114
| 4
| 79
| 28.5
| 0.68
| 0.184211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 5
|
c3d738d4b6626f31a81fb78fafd872a12765682a
| 33
|
py
|
Python
|
31/00/list.clear.0.py
|
pylangstudy/201705
|
c69de524faa67fa2d96267d5a51ed9794208f0e4
|
[
"CC0-1.0"
] | null | null | null |
31/00/list.clear.0.py
|
pylangstudy/201705
|
c69de524faa67fa2d96267d5a51ed9794208f0e4
|
[
"CC0-1.0"
] | 38
|
2017-05-25T07:08:48.000Z
|
2017-05-31T01:42:41.000Z
|
31/00/list.clear.0.py
|
pylangstudy/201705
|
c69de524faa67fa2d96267d5a51ed9794208f0e4
|
[
"CC0-1.0"
] | null | null | null |
l = [1,2,1,3]
l.clear()
print(l)
| 8.25
| 13
| 0.515152
| 9
| 33
| 1.888889
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.151515
| 33
| 3
| 14
| 11
| 0.464286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
7f0124d3ae5436b2df7d97b58dffe334fe8d28ee
| 448
|
py
|
Python
|
codebase/scheduler/__init__.py
|
chenyaofo/image-classification-codebase
|
30344fd0aa31340edd49b33ec239304edb12069a
|
[
"BSD-3-Clause"
] | 5
|
2020-12-27T02:11:33.000Z
|
2021-12-21T14:11:18.000Z
|
codebase/scheduler/__init__.py
|
chenyaofo/image-classification-codebase
|
30344fd0aa31340edd49b33ec239304edb12069a
|
[
"BSD-3-Clause"
] | 4
|
2021-06-30T16:17:26.000Z
|
2022-01-25T15:00:31.000Z
|
codebase/scheduler/__init__.py
|
chenyaofo/image-classification-codebase
|
30344fd0aa31340edd49b33ec239304edb12069a
|
[
"BSD-3-Clause"
] | 4
|
2021-05-02T21:12:45.000Z
|
2021-12-30T09:53:17.000Z
|
import torch.optim as optim
from .register import SCHEDULER
from .warmup_cosine_annealing import WarmupCosineAnnealingLR
SCHEDULER.register(optim.lr_scheduler.MultiStepLR)
SCHEDULER.register(optim.lr_scheduler.CosineAnnealingLR)
SCHEDULER.register(optim.lr_scheduler.CosineAnnealingWarmRestarts)
SCHEDULER.register(optim.lr_scheduler.ExponentialLR)
SCHEDULER.register(optim.lr_scheduler.CyclicLR)
SCHEDULER.register(optim.lr_scheduler.LambdaLR)
| 34.461538
| 66
| 0.879464
| 51
| 448
| 7.568627
| 0.352941
| 0.264249
| 0.341969
| 0.373057
| 0.512953
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.046875
| 448
| 12
| 67
| 37.333333
| 0.903981
| 0
| 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 | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
7f0a6f994a5f5476a4272af20d508cbaac06961e
| 223
|
py
|
Python
|
numpoisson/errors.py
|
mevangelista-alvarado/NumericalPoissonGrometry-
|
76f41be4eb11248c3206b5e371c7aa9eb9d73b44
|
[
"MIT"
] | 7
|
2020-10-30T22:49:49.000Z
|
2021-07-15T20:56:13.000Z
|
numpoisson/errors.py
|
mevangelista-alvarado/NumericalPoissonGrometry-
|
76f41be4eb11248c3206b5e371c7aa9eb9d73b44
|
[
"MIT"
] | 2
|
2020-11-13T19:01:28.000Z
|
2021-03-24T04:55:34.000Z
|
numpoisson/errors.py
|
mevangelista-alvarado/NumericalPoissonGrometry-
|
76f41be4eb11248c3206b5e371c7aa9eb9d73b44
|
[
"MIT"
] | 1
|
2021-02-23T05:41:02.000Z
|
2021-02-23T05:41:02.000Z
|
class DimensionError(Exception):
pass
class MultivectorError(Exception):
pass
class FunctionError(Exception):
pass
class DiferentialFormError(Exception):
pass
class CasimirError(Exception):
pass
| 11.736842
| 38
| 0.73991
| 20
| 223
| 8.25
| 0.4
| 0.393939
| 0.436364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192825
| 223
| 18
| 39
| 12.388889
| 0.916667
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
7f1f48e98962d462f5df55a10d3397884df3424f
| 219
|
py
|
Python
|
testtools/UART_interface/base_uart_interface.py
|
nsadula/azure-iot-sdk-c
|
5847d861fd9b27e0c07225490d06cee1230596bc
|
[
"MIT"
] | 545
|
2016-11-29T18:04:48.000Z
|
2022-03-28T09:31:06.000Z
|
testtools/UART_interface/base_uart_interface.py
|
nsadula/azure-iot-sdk-c
|
5847d861fd9b27e0c07225490d06cee1230596bc
|
[
"MIT"
] | 1,644
|
2016-11-17T09:49:31.000Z
|
2022-03-30T18:10:13.000Z
|
testtools/UART_interface/base_uart_interface.py
|
nsadula/azure-iot-sdk-c
|
5847d861fd9b27e0c07225490d06cee1230596bc
|
[
"MIT"
] | 826
|
2016-11-16T16:05:16.000Z
|
2022-03-18T19:23:22.000Z
|
class uart_interface():
# def __init__(self, ser):
# pass
def serial_read(self, ser, message, file, first_read=False):
pass
def serial_write(self, ser, message, file=None):
pass
| 16.846154
| 64
| 0.607306
| 28
| 219
| 4.464286
| 0.571429
| 0.168
| 0.208
| 0.288
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.283105
| 219
| 12
| 65
| 18.25
| 0.796178
| 0.150685
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.4
| 0
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 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
| 5
|
7f2214e51d42fedbe1c866175869870ab5c50d9e
| 205
|
py
|
Python
|
cavoke_app/gamestorage.py
|
cavoke-project/cavoke_server
|
5d2e39ca760e140ab9a8b0c50b45a6d4b22e21b5
|
[
"MIT"
] | null | null | null |
cavoke_app/gamestorage.py
|
cavoke-project/cavoke_server
|
5d2e39ca760e140ab9a8b0c50b45a6d4b22e21b5
|
[
"MIT"
] | 1
|
2020-01-06T17:47:03.000Z
|
2020-01-06T17:47:03.000Z
|
cavoke_app/gamestorage.py
|
cavoke-project/cavoke-server
|
5d2e39ca760e140ab9a8b0c50b45a6d4b22e21b5
|
[
"MIT"
] | null | null | null |
from typing import Dict, Tuple, Any
from threading import Lock
from cavoke import Game
"""
game_session_dict dictionary for storing game sessions
"""
game_session_dict: Dict[str, Tuple[Game, Lock]] = {}
| 20.5
| 54
| 0.765854
| 30
| 205
| 5.1
| 0.533333
| 0.143791
| 0.196078
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 205
| 9
| 55
| 22.777778
| 0.874286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6130e81fde910b66eb14af75ee9ef373d76c5acf
| 64
|
py
|
Python
|
bookshare/lends/views/__init__.py
|
ezecavallo/bookshare
|
5c3b7e97400170c20864ad74af7f524bccf87cf9
|
[
"MIT"
] | null | null | null |
bookshare/lends/views/__init__.py
|
ezecavallo/bookshare
|
5c3b7e97400170c20864ad74af7f524bccf87cf9
|
[
"MIT"
] | null | null | null |
bookshare/lends/views/__init__.py
|
ezecavallo/bookshare
|
5c3b7e97400170c20864ad74af7f524bccf87cf9
|
[
"MIT"
] | null | null | null |
from .lends import LendViewSet
from .books import BookViewSet
| 21.333333
| 31
| 0.8125
| 8
| 64
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 64
| 2
| 32
| 32
| 0.962963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6136ec9ac2f0c8b8432f358e6e88b44f1ac3152b
| 22
|
py
|
Python
|
ABC084/A.py
|
shimomura314/AtcoderCodes
|
db1d62a7715f5f1b3c40eceff8d34f0f34839f41
|
[
"MIT"
] | 3
|
2019-08-16T16:55:48.000Z
|
2021-04-11T10:21:40.000Z
|
ABC084/A.py
|
shimomura314/AtcoderCodes
|
db1d62a7715f5f1b3c40eceff8d34f0f34839f41
|
[
"MIT"
] | null | null | null |
ABC084/A.py
|
shimomura314/AtcoderCodes
|
db1d62a7715f5f1b3c40eceff8d34f0f34839f41
|
[
"MIT"
] | null | null | null |
print(48-int(input()))
| 22
| 22
| 0.681818
| 4
| 22
| 3.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 0
| 22
| 1
| 22
| 22
| 0.590909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
6160fbb2ab29a7c8bcaf93187cf8deb338c9d2ec
| 215
|
py
|
Python
|
becas/forms.py
|
WilliBobadilla/AguacaTech
|
2714a9fe091f09a6640535787f3ab97494e161e8
|
[
"Apache-2.0"
] | 5
|
2019-05-02T14:58:58.000Z
|
2020-04-11T11:27:33.000Z
|
becas/forms.py
|
WilliBobadilla/AguacaTech
|
2714a9fe091f09a6640535787f3ab97494e161e8
|
[
"Apache-2.0"
] | null | null | null |
becas/forms.py
|
WilliBobadilla/AguacaTech
|
2714a9fe091f09a6640535787f3ab97494e161e8
|
[
"Apache-2.0"
] | 1
|
2019-06-20T19:17:19.000Z
|
2019-06-20T19:17:19.000Z
|
from django import forms
class Formulario(forms.Form):
nombre = forms.CharField(max_length=100)
email = forms.EmailField()
numero = forms.CharField()
mensaje = forms.CharField(max_length=100)
| 19.545455
| 45
| 0.706977
| 26
| 215
| 5.769231
| 0.615385
| 0.28
| 0.226667
| 0.306667
| 0.346667
| 0
| 0
| 0
| 0
| 0
| 0
| 0.034483
| 0.190698
| 215
| 10
| 46
| 21.5
| 0.827586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
4edfe933d71428e9b431a578336d325934549051
| 54
|
py
|
Python
|
src/whatdo/main.py
|
PatrickDaG/WhatDo
|
df66e0b8e9296392ae9753c973321f402d7ca26c
|
[
"MIT"
] | 1
|
2021-12-29T23:34:29.000Z
|
2021-12-29T23:34:29.000Z
|
src/whatdo/main.py
|
PatrickDaG/WhatDo
|
df66e0b8e9296392ae9753c973321f402d7ca26c
|
[
"MIT"
] | null | null | null |
src/whatdo/main.py
|
PatrickDaG/WhatDo
|
df66e0b8e9296392ae9753c973321f402d7ca26c
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
def main():
print("Todo")
| 10.8
| 22
| 0.592593
| 8
| 54
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022727
| 0.185185
| 54
| 4
| 23
| 13.5
| 0.704545
| 0.388889
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
4ef053e4b37465180deae6dbc6126e0a5a312e85
| 4,735
|
py
|
Python
|
tests/security/test_safemath.py
|
pscott/cairo-contracts
|
72df9fe7c3154d44044c0ac6afe89abec6d719b4
|
[
"MIT"
] | 245
|
2021-09-15T07:48:15.000Z
|
2022-03-31T13:20:33.000Z
|
tests/security/test_safemath.py
|
pscott/cairo-contracts
|
72df9fe7c3154d44044c0ac6afe89abec6d719b4
|
[
"MIT"
] | 126
|
2021-09-23T14:43:51.000Z
|
2022-03-31T13:03:18.000Z
|
tests/security/test_safemath.py
|
pscott/cairo-contracts
|
72df9fe7c3154d44044c0ac6afe89abec6d719b4
|
[
"MIT"
] | 65
|
2021-09-27T16:18:16.000Z
|
2022-03-31T22:51:50.000Z
|
import pytest
from starkware.starknet.testing.starknet import Starknet
from utils import (
MAX_UINT256, assert_revert, add_uint, sub_uint,
mul_uint, div_rem_uint, to_uint, contract_path
)
@pytest.fixture(scope='module')
async def safemath_mock():
starknet = await Starknet.empty()
safemath = await starknet.deploy(
contract_path("tests/mocks/safemath_mock.cairo")
)
return safemath
@pytest.mark.asyncio
async def test_add(safemath_mock):
safemath = safemath_mock
a = to_uint(56789)
b = to_uint(1234)
c = add_uint(a, b)
execution_info = await safemath.uint256_add(a, b).invoke()
assert execution_info.result == (c,)
@pytest.mark.asyncio
async def test_add_overflow(safemath_mock):
safemath = safemath_mock
a = MAX_UINT256
b = to_uint(1)
await assert_revert(
safemath.uint256_add(a, b).invoke(),
reverted_with="SafeUint256: addition overflow"
)
@pytest.mark.asyncio
async def test_sub_lt(safemath_mock):
safemath = safemath_mock
a = to_uint(56789)
b = to_uint(1234)
c = sub_uint(a, b)
execution_info = await safemath.uint256_sub_lt(a, b).invoke()
assert execution_info.result == (c,)
@pytest.mark.asyncio
async def test_sub_lt_equal(safemath_mock):
safemath = safemath_mock
a = MAX_UINT256
b = MAX_UINT256
await assert_revert(
safemath.uint256_sub_lt(a, b).invoke(),
reverted_with="SafeUint256: subtraction overflow or the difference equals zero"
)
@pytest.mark.asyncio
async def test_sub_lt_overflow(safemath_mock):
safemath = safemath_mock
a = to_uint(1234)
b = to_uint(56789)
await assert_revert(
safemath.uint256_sub_lt(a, b).invoke(),
reverted_with="SafeUint256: subtraction overflow or the difference equals zero"
)
@pytest.mark.asyncio
async def test_sub_le(safemath_mock):
safemath = safemath_mock
a = to_uint(56789)
b = to_uint(1234)
c = sub_uint(a, b)
execution_info = await safemath.uint256_sub_le(a, b).invoke()
assert execution_info.result == (c,)
@pytest.mark.asyncio
async def test_sub_le_equal(safemath_mock):
safemath = safemath_mock
a = MAX_UINT256
b = MAX_UINT256
c = sub_uint(a, b)
execution_info = await safemath.uint256_sub_le(a, b).invoke()
assert execution_info.result == (c,)
@pytest.mark.asyncio
async def test_sub_le_overflow(safemath_mock):
safemath = safemath_mock
a = to_uint(1234)
b = to_uint(56789)
await assert_revert(
safemath.uint256_sub_le(a, b).invoke(),
reverted_with="SafeUint256: subtraction overflow"
)
await assert_revert(safemath.uint256_sub_le(a, b).invoke())
@pytest.mark.asyncio
async def test_mul(safemath_mock):
safemath = safemath_mock
a = to_uint(1234)
b = to_uint(56789)
c = mul_uint(a, b)
execution_info = await safemath.uint256_mul(a, b).invoke()
assert execution_info.result == (c,)
@pytest.mark.asyncio
async def test_mul_zero(safemath_mock):
safemath = safemath_mock
a = to_uint(0)
b = to_uint(56789)
c = to_uint(0)
execution_info = await safemath.uint256_mul(a, b).invoke()
assert execution_info.result == (c,)
execution_info = await safemath.uint256_mul(b, a).invoke()
assert execution_info.result == (c,)
@pytest.mark.asyncio
async def test_mul_overflow(safemath_mock):
safemath = safemath_mock
a = MAX_UINT256
b = to_uint(2)
await assert_revert(
safemath.uint256_mul(a, b).invoke(),
reverted_with="SafeUint256: multiplication overflow"
)
@pytest.mark.asyncio
async def test_div(safemath_mock):
safemath = safemath_mock
a = to_uint(56789)
b = to_uint(56789)
(c, r) = div_rem_uint(a, b)
execution_info = await safemath.uint256_div(a, b).invoke()
assert execution_info.result == (c, r)
@pytest.mark.asyncio
async def test_div_zero_dividend(safemath_mock):
safemath = safemath_mock
a = to_uint(0)
b = to_uint(56789)
(c, r) = div_rem_uint(a, b)
execution_info = await safemath.uint256_div(a, b).invoke()
assert execution_info.result == (c, r)
@pytest.mark.asyncio
async def test_div_zero_divisor(safemath_mock):
safemath = safemath_mock
a = to_uint(56789)
b = to_uint(0)
await assert_revert(
safemath.uint256_div(a, b).invoke(),
reverted_with="SafeUint256: divisor cannot be zero"
)
@pytest.mark.asyncio
async def test_div_uneven_division(safemath_mock):
safemath = safemath_mock
a = to_uint(7000)
b = to_uint(5678)
(c, r) = div_rem_uint(a, b)
execution_info = await safemath.uint256_div(a, b).invoke()
assert execution_info.result == (c, r)
| 22.874396
| 87
| 0.691447
| 672
| 4,735
| 4.611607
| 0.108631
| 0.123911
| 0.041304
| 0.106486
| 0.870603
| 0.853824
| 0.793804
| 0.744434
| 0.690868
| 0.690868
| 0
| 0.048528
| 0.20359
| 4,735
| 206
| 88
| 22.985437
| 0.77327
| 0
| 0
| 0.619718
| 0
| 0
| 0.062724
| 0.006547
| 0
| 0
| 0
| 0
| 0.126761
| 1
| 0
| false
| 0
| 0.021127
| 0
| 0.028169
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
f61bb23abf921ac4df61def8de4b69ea590221e9
| 27
|
py
|
Python
|
temp_and_humidity_sensor/main.py
|
gregsvo/micropython
|
952d0acdc9dafe6a0c5f104b9a09256d85d60489
|
[
"MIT"
] | 50
|
2019-05-08T18:17:45.000Z
|
2019-05-22T18:00:03.000Z
|
temp_and_humidity_sensor/main.py
|
gregsvo/micropython
|
952d0acdc9dafe6a0c5f104b9a09256d85d60489
|
[
"MIT"
] | 1
|
2017-08-01T02:11:08.000Z
|
2017-08-01T02:11:08.000Z
|
temp_and_humidity_sensor/main.py
|
gregsvo/micropython
|
952d0acdc9dafe6a0c5f104b9a09256d85d60489
|
[
"MIT"
] | null | null | null |
import thermo
thermo.main()
| 13.5
| 13
| 0.814815
| 4
| 27
| 5.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.074074
| 27
| 2
| 14
| 13.5
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
f67a9655b2aaf6cf842a63d99be42d966fbe59ed
| 180
|
py
|
Python
|
code/data_visualizar.py
|
yuma3/scrayper
|
807303e40b5954961b841ce420823949a96e3754
|
[
"MIT"
] | null | null | null |
code/data_visualizar.py
|
yuma3/scrayper
|
807303e40b5954961b841ce420823949a96e3754
|
[
"MIT"
] | null | null | null |
code/data_visualizar.py
|
yuma3/scrayper
|
807303e40b5954961b841ce420823949a96e3754
|
[
"MIT"
] | null | null | null |
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
| 20
| 43
| 0.844444
| 30
| 180
| 4.9
| 0.566667
| 0.204082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 180
| 8
| 44
| 22.5
| 0.948387
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
f67ce3e5107e5170d96c1258014126d6f1e6f088
| 25
|
py
|
Python
|
Filtering_Server/FFT/__init__.py
|
FullPint/Frequency-Filter-Server
|
60ed3f17f8873ff92b6f52e7dd861c9d99dea40c
|
[
"MIT"
] | null | null | null |
Filtering_Server/FFT/__init__.py
|
FullPint/Frequency-Filter-Server
|
60ed3f17f8873ff92b6f52e7dd861c9d99dea40c
|
[
"MIT"
] | null | null | null |
Filtering_Server/FFT/__init__.py
|
FullPint/Frequency-Filter-Server
|
60ed3f17f8873ff92b6f52e7dd861c9d99dea40c
|
[
"MIT"
] | null | null | null |
from .fft import FFT_DIP
| 12.5
| 24
| 0.8
| 5
| 25
| 3.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 1
| 25
| 25
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
9ca6a6c4fa56b5b995a3e5ccd92af37ae15a95aa
| 167
|
py
|
Python
|
app/auth/__init__.py
|
christopher-besch/mc_royale_supervisor
|
68261e21c3609cef1b4cb9071085d3c11ce2b120
|
[
"MIT"
] | 2
|
2020-04-25T11:35:25.000Z
|
2020-07-13T08:45:08.000Z
|
app/auth/__init__.py
|
christopher-besch/mc_royale_supervisor
|
68261e21c3609cef1b4cb9071085d3c11ce2b120
|
[
"MIT"
] | null | null | null |
app/auth/__init__.py
|
christopher-besch/mc_royale_supervisor
|
68261e21c3609cef1b4cb9071085d3c11ce2b120
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
# create blueprint
bp = Blueprint('auth', __name__, template_folder='templates')
# load other scripts
from app.auth import routes
| 20.875
| 62
| 0.748503
| 21
| 167
| 5.714286
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173653
| 167
| 7
| 63
| 23.857143
| 0.869565
| 0.209581
| 0
| 0
| 0
| 0
| 0.106557
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 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
| 1
|
0
| 5
|
9cbc099e9128c44e38886962f67d067da60e9056
| 1,098
|
py
|
Python
|
python/test/test_notifications_api.py
|
dlens/dlxapi
|
189a6519240ce625d7a9cdb89e305a335d2aa045
|
[
"MIT"
] | null | null | null |
python/test/test_notifications_api.py
|
dlens/dlxapi
|
189a6519240ce625d7a9cdb89e305a335d2aa045
|
[
"MIT"
] | 1
|
2020-08-20T17:31:43.000Z
|
2020-08-20T17:31:43.000Z
|
python/test/test_notifications_api.py
|
dlens/dlxapi
|
189a6519240ce625d7a9cdb89e305a335d2aa045
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
Decision Lens API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import dlxapi
from dlxapi.api.notifications_api import NotificationsApi # noqa: E501
from dlxapi.rest import ApiException
class TestNotificationsApi(unittest.TestCase):
"""NotificationsApi unit test stubs"""
def setUp(self):
self.api = dlxapi.api.notifications_api.NotificationsApi() # noqa: E501
def tearDown(self):
pass
def test_get_notifications(self):
"""Test case for get_notifications
Retrieves portfolio notifications log. # noqa: E501
"""
pass
def test_reindex_notifications(self):
"""Test case for reindex_notifications
Reindex notifications. System Administator operation. # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 22.408163
| 119
| 0.689435
| 124
| 1,098
| 5.935484
| 0.467742
| 0.054348
| 0.038043
| 0.057065
| 0.179348
| 0.103261
| 0.103261
| 0
| 0
| 0
| 0
| 0.021102
| 0.223133
| 1,098
| 48
| 120
| 22.875
| 0.841735
| 0.444444
| 0
| 0.1875
| 1
| 0
| 0.015066
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.1875
| 0.3125
| 0
| 0.625
| 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
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
9cbf76384c57f36ab5c1cf5c6bc1bdc8eded7be1
| 58
|
py
|
Python
|
examples/alex/struct-pruning/bert_profiler/__init__.py
|
AlexHoffman9/transformers
|
6577c0cd0740ad342a01b9ef18562210905ee06e
|
[
"Apache-2.0"
] | null | null | null |
examples/alex/struct-pruning/bert_profiler/__init__.py
|
AlexHoffman9/transformers
|
6577c0cd0740ad342a01b9ef18562210905ee06e
|
[
"Apache-2.0"
] | null | null | null |
examples/alex/struct-pruning/bert_profiler/__init__.py
|
AlexHoffman9/transformers
|
6577c0cd0740ad342a01b9ef18562210905ee06e
|
[
"Apache-2.0"
] | null | null | null |
from .dummy_profile import noisy_linear_step, flops_linear
| 58
| 58
| 0.896552
| 9
| 58
| 5.333333
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 58
| 1
| 58
| 58
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
9cd68b810f499b71d54c102052be9799f70d65e3
| 56
|
py
|
Python
|
services/utils.py
|
phillipjhl/artoo_engine
|
846c1318409addd1ecc89018586332740ceca5ed
|
[
"MIT"
] | null | null | null |
services/utils.py
|
phillipjhl/artoo_engine
|
846c1318409addd1ecc89018586332740ceca5ed
|
[
"MIT"
] | null | null | null |
services/utils.py
|
phillipjhl/artoo_engine
|
846c1318409addd1ecc89018586332740ceca5ed
|
[
"MIT"
] | null | null | null |
def c_to_f(temp):
f = (temp * 1.8) + 32
return f
| 18.666667
| 25
| 0.517857
| 12
| 56
| 2.25
| 0.75
| 0.37037
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0.321429
| 56
| 3
| 26
| 18.666667
| 0.605263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
9ce2900d4399ab2138bfce19e50332ccdd15a8f2
| 919
|
py
|
Python
|
specargs/framework/django.py
|
maz808/specargs
|
b88aedfe8d964a12e70f9ad39841bd19d157d69b
|
[
"MIT"
] | 3
|
2022-03-10T16:20:47.000Z
|
2022-03-15T18:44:22.000Z
|
specargs/framework/django.py
|
maz808/apispec-webargs
|
971e1f7d87086570fdf56f4c575de1f41e05ffcd
|
[
"MIT"
] | null | null | null |
specargs/framework/django.py
|
maz808/apispec-webargs
|
971e1f7d87086570fdf56f4c575de1f41e05ffcd
|
[
"MIT"
] | null | null | null |
# TODO: Add support for Django
import json
from django.http import HttpRequest
from webargs.djangoparser import parser
from ..plugin import WebargsPlugin
def get_request_body(request: HttpRequest):
return json.loads(request.body)
def create_paths(self, framework_obj):
raise NotImplementedError("Django is currently not supported!")
def make_response(data, status_code):
raise NotImplementedError("Django is currently not supported!")
class DjangoWebargsPlugin(WebargsPlugin):
def __init__(self):
raise NotImplementedError("Django is not currently supported")
def path_helper(self, operations, parameters, *, view, app=None, **kwargs):
raise NotImplementedError("Django is not currently supported")
def operation_helper(self, operations, *, view, **kwargs):
raise NotImplementedError("Django is not currently supported")
WebargsPlugin = DjangoWebargsPlugin
| 27.029412
| 79
| 0.762786
| 104
| 919
| 6.625
| 0.471154
| 0.174165
| 0.217707
| 0.232221
| 0.41074
| 0.41074
| 0.41074
| 0.256894
| 0
| 0
| 0
| 0
| 0.156692
| 919
| 33
| 80
| 27.848485
| 0.889032
| 0.030468
| 0
| 0.277778
| 0
| 0
| 0.187852
| 0
| 0
| 0
| 0
| 0.030303
| 0
| 1
| 0.333333
| false
| 0
| 0.222222
| 0.055556
| 0.666667
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
1432ada9ce2c74d9f61a895e9ca9a151aa457714
| 184
|
py
|
Python
|
fileValidation.py
|
showtimezz/mefBot
|
bed015ddc35ed691cca37821307cf43abd7bd962
|
[
"MIT"
] | null | null | null |
fileValidation.py
|
showtimezz/mefBot
|
bed015ddc35ed691cca37821307cf43abd7bd962
|
[
"MIT"
] | 1
|
2020-11-20T12:34:42.000Z
|
2020-11-20T12:34:42.000Z
|
fileValidation.py
|
showtimezz/mefBot
|
bed015ddc35ed691cca37821307cf43abd7bd962
|
[
"MIT"
] | null | null | null |
def createFile():
f= open("loginInfo.txt", "w+")
print("Input your username")
f.write(input()+"\n")
print("Input your password")
f.write(input()+"\n")
f.close()
| 26.285714
| 34
| 0.570652
| 25
| 184
| 4.2
| 0.6
| 0.190476
| 0.266667
| 0.228571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201087
| 184
| 7
| 35
| 26.285714
| 0.714286
| 0
| 0
| 0.285714
| 0
| 0
| 0.308108
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0.142857
| 0
| 0
| 0.142857
| 0.285714
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
14b8ca8529ad9696ef46ea5a340c8fc7b30dacd6
| 23,772
|
py
|
Python
|
htf/test-py/test_tensorflow.py
|
oktak/hoomd-tf
|
357b5c365781612b574d8fb34592ab7247e611e6
|
[
"MIT"
] | null | null | null |
htf/test-py/test_tensorflow.py
|
oktak/hoomd-tf
|
357b5c365781612b574d8fb34592ab7247e611e6
|
[
"MIT"
] | null | null | null |
htf/test-py/test_tensorflow.py
|
oktak/hoomd-tf
|
357b5c365781612b574d8fb34592ab7247e611e6
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2018 Andrew White at the University of Rochester
# This file is part of the Hoomd-Tensorflow plugin developed by Andrew White
import hoomd
import hoomd.md
import hoomd.htf
import unittest
import os
import tempfile
import shutil
import pickle
import glob
import numpy as np
import math
import tensorflow as tf
import build_examples
def compute_forces(system, rcut):
'''1 / r^2 force'''
snapshot = system.take_snapshot()
position = snapshot.particles.position
N = len(position)
forces = np.zeros((N, 3))
for i in range(N):
for j in range(i + 1, N):
r = position[j] - position[i]
r = np.array(snapshot.box.min_image(r))
rd = np.sqrt(np.sum(r**2))
if rd <= rcut:
f = -r / rd
forces[i, :] += f
forces[j, :] -= f
return forces
class test_access(unittest.TestCase):
def test_access(self):
model_dir = build_examples.simple_potential()
with hoomd.htf.tfcompute(model_dir,
_mock_mode=True) as tfcompute:
hoomd.context.initialize('--gpu_error_checking')
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all())
tfcompute.attach(nlist, r_cut=rcut, batch_size=4)
hoomd.run(1)
tfcompute.get_virial_array()
tfcompute.get_positions_array()
tfcompute.get_nlist_array()
tfcompute.get_forces_array()
class test_compute(unittest.TestCase):
def test_force_overwrite(self):
model_dir = build_examples.simple_potential()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(kT=2, seed=2)
tfcompute.attach(nlist, r_cut=rcut, batch_size=4)
# use these to throw off timesteps
hoomd.run(1)
hoomd.run(1)
for i in range(3):
py_forces = compute_forces(system, rcut)
for j in range(N):
np.testing.assert_allclose(system.particles[j].net_force,
py_forces[j, :], atol=1e-5)
hoomd.run(100)
def test_nonlist(self):
model_dir = build_examples.benchmark_nonlist_graph()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[32, 32])
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(kT=2, seed=2)
tfcompute.attach()
hoomd.run(10)
def test_full_batch(self):
hoomd.context.initialize()
model_dir = build_examples.benchmark_nonlist_graph()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
system = hoomd.init.create_lattice(unitcell=hoomd.lattice.sq(a=4.0),
n=[32, 32])
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all()).randomize_velocities(kT=2, seed=2)
tfcompute.attach(batch_size=None)
hoomd.run(10)
def test_trainable(self):
model_dir = build_examples.trainable_graph(9 - 1)
with hoomd.htf.tfcompute(model_dir,
write_tensorboard=True) as tfcompute:
hoomd.context.initialize()
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0), n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(kT=2, seed=2)
tfcompute.attach(nlist, r_cut=rcut, save_period=1, batch_size=4)
hoomd.run(5)
checkpoints = glob.glob(os.path.join(model_dir, 'model-*.data*'))
# 6 because an extra is written at the end
self.assertGreater(len(checkpoints), 2,
'Checkpoint files not being created.')
def test_bootstrap(self):
model_dir = build_examples.trainable_graph(9 - 1)
with hoomd.htf.tfcompute(
model_dir, bootstrap=build_examples.bootstrap_graph(
9 - 1, model_dir),
bootstrap_map={'epsilon': 'lj-epsilon', 'sigma': 'lj-sigma'
}) as tfcompute:
hoomd.context.initialize()
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(kT=2, seed=2)
tfcompute.attach(nlist, r_cut=rcut, save_period=1)
hoomd.run(5)
def test_incomplete_bootstrap(self):
model_dir = build_examples.trainable_graph(9 - 1)
with hoomd.htf.tfcompute(
model_dir, bootstrap=build_examples.bootstrap_graph(
9 - 1, model_dir),
bootstrap_map={'epsilon': 'lj-epsilon'
}) as tfcompute:
hoomd.context.initialize()
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(kT=2, seed=2)
tfcompute.attach(nlist, r_cut=rcut, save_period=1)
hoomd.run(5)
def test_print(self):
model_dir = build_examples.print_graph(9 - 1)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(kT=4, seed=1)
tfcompute.attach(nlist, r_cut=rcut, batch_size=4)
for i in range(3):
hoomd.run(2)
def test_noforce_graph(self):
model_dir = build_examples.noforce_graph()
hoomd.context.initialize()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all())
tfcompute.attach(nlist, r_cut=rcut)
for i in range(3):
hoomd.run(1)
for j in range(N):
np.testing.assert_allclose(
system.particles[j].net_force, [0, 0, 0], rtol=1e-5)
def test_wrap(self):
model_dir = build_examples.wrap_graph()
hoomd.context.initialize()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell()
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all())
tfcompute.attach()
hoomd.run(1)
def test_feeddict_func(self):
model_dir = build_examples.feeddict_graph()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all())
# multiple average force by particle 4 position
# just for fun
tfcompute.attach(nlist, r_cut=rcut, period=10,
feed_dict=lambda tfc:
{'test-tensor:0': tfc.get_positions_array()[2, :3]},
batch_size=4)
hoomd.run(11)
tf_force = tfcompute.get_forces_array()[1, :3]
def test_feeddict(self):
model_dir = build_examples.feeddict_graph()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nve(group=hoomd.group.all())
# multiple average force by particle 4 position
# just for fun
tfcompute.attach(nlist, r_cut=rcut, period=10,
feed_dict={'test-tensor:0': [1, 2, 3]})
hoomd.run(11)
tf_force = tfcompute.get_forces_array()[1, :3]
def test_lj_forces(self):
N = 3 * 3
model_dir = build_examples.lj_graph(N - 1)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
T = 10
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(),
kT=1, tau=0.2
).randomize_velocities(seed=1)
tfcompute.attach(nlist, r_cut=rcut)
hoomd.run(2)
tf_forces = []
for i in range(T):
hoomd.run(1)
snapshot = system.take_snapshot()
tf_forces.append([system.particles[j].net_force
for j in range(N)])
tf_forces = np.array(tf_forces)
# now run with stock lj
hoomd.context.initialize()
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(), kT=1, tau=0.2
).randomize_velocities(seed=1)
lj = hoomd.md.pair.lj(r_cut=5.0, nlist=nlist)
lj.pair_coeff.set('A', 'A', epsilon=1.0, sigma=1.0)
hoomd.run(2)
lj_forces = []
for i in range(T):
hoomd.run(1)
snapshot = system.take_snapshot()
lj_forces.append([system.particles[j].net_force for j in range(N)])
lj_forces = np.array(lj_forces)
for i in range(T):
for j in range(N):
np.testing.assert_allclose(tf_forces[i, j],
lj_forces[i, j], atol=1e-5)
def test_running_mean(self):
model_dir = build_examples.lj_running_mean(9 - 1)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell()
hoomd.md.integrate.mode_standard(dt=0.001)
hoomd.md.integrate.nve(group=hoomd.group.all()
).randomize_velocities(seed=1, kT=0.8)
tfcompute.attach(nlist, r_cut=rcut, save_period=10, batch_size=4)
hoomd.run(10)
# now load checkpoint
variables = hoomd.htf.load_variables(
model_dir, ['average-energy', 'htf-batch-steps:0'])
assert not math.isnan(variables['average-energy'])
assert variables['htf-batch-steps'] == 11
def test_force_output(self):
Ne = 5
c = hoomd.context.initialize()
model_dir = build_examples.lj_force_output(Ne ** 2 - 1)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
rcut = 3.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=2.0),
n=[Ne, Ne])
c.sorter.disable()
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.01)
lj = hoomd.md.pair.lj(r_cut=rcut, nlist=nlist)
lj.pair_coeff.set('A', 'A', epsilon=1.0, sigma=1.0)
lj2 = hoomd.md.pair.lj(r_cut=rcut, nlist=nlist)
lj2.pair_coeff.set('A', 'A', epsilon=4.0, sigma=0.8)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(seed=1, kT=0.8)
tfcompute.attach(nlist, r_cut=rcut, period=100, save_period=1)
tfcompute.set_reference_forces(lj)
hoomd.run(300)
# now load checkpoint and check error
variables = hoomd.htf.load_variables(
model_dir, ['error'])
assert abs(variables['error']) < 1e-5
# now check difference between particle forces and
# forces from htf
lj_forces = np.array([lj.forces[j].force for j in range(Ne**2)])
lj_energy = np.array([lj.forces[j].energy for j in range(Ne**2)])
np.testing.assert_allclose(tfcompute.get_forces_array(
)[:, :3], lj_forces)
np.testing.assert_allclose(tfcompute.get_forces_array(
)[:, 3], lj_energy)
def test_rdf(self):
model_dir = build_examples.lj_rdf(9 - 1)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell()
hoomd.md.integrate.mode_standard(dt=0.001)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(seed=1, kT=0.8)
tfcompute.attach(nlist, r_cut=rcut, save_period=3, batch_size=4)
hoomd.run(10)
# now load checkpoint
variables = hoomd.htf.load_variables(
model_dir, ['avg-rdf'])
assert np.sum(variables['avg-rdf']) > 0
def test_lj_energy(self):
model_dir = build_examples.lj_graph(9 - 1)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
N = 3 * 3
NN = N - 1
T = 10
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.001)
hoomd.md.integrate.nve(group=hoomd.group.all(
)).randomize_velocities(seed=1, kT=0.8)
log = hoomd.analyze.log(filename=None,
quantities=['potential_energy',
'kinetic_energy'], period=1)
tfcompute.attach(nlist, r_cut=rcut)
energy = []
for i in range(T):
hoomd.run(250)
energy.append(log.query('potential_energy'
) + log.query('kinetic_energy'))
if i > 1:
np.testing.assert_allclose(energy[-1],
energy[-2], atol=1e-3)
def test_lj_pressure(self):
# TODO The virials are off by 1e-6, leading to
# pressure differences of 1e-3.
# I can't figure out why, but since PE and forces are
# matching exactly, I'll leave the tol
# set that high.
model_dir = build_examples.lj_graph(9 - 1)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
hoomd.context.initialize()
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(),
kT=1, tau=0.2).randomize_velocities(seed=1)
tfcompute.attach(nlist, r_cut=rcut)
log = hoomd.analyze.log(filename=None, quantities=[
'potential_energy', 'pressure'], period=1)
thermo_scalars = []
tf_virial = []
for i in range(5):
hoomd.run(3)
snapshot = system.take_snapshot()
tf_virial.append(tfcompute.get_virial_array())
thermo_scalars.append([log.query('potential_energy'
), log.query('pressure')])
# now run with stock lj
hoomd.context.initialize()
system = hoomd.init.create_lattice(
unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell(check_period=1)
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(), kT=1,
tau=0.2).randomize_velocities(seed=1)
lj = hoomd.md.pair.lj(r_cut=5.0, nlist=nlist)
lj.pair_coeff.set('A', 'A', epsilon=1.0, sigma=1.0)
log = hoomd.analyze.log(filename=None,
quantities=['potential_energy', 'pressure'],
period=1)
for i in range(5):
hoomd.run(3)
snapshot = system.take_snapshot()
v = snapshot.particles.velocity
lj_virial = np.array([lj.forces[j].virial for j in range(N)])
for j in range(N):
np.testing.assert_allclose(lj_virial[j][0:2],
tf_virial[i][j][0:2], atol=1e-5)
# np.testing.assert_allclose([log.query('potential_energy'),
# log.query('pressure')], thermo_scalars[i], rtol=1e-3)
class test_mol_batching(unittest.TestCase):
def test_single_atom(self):
hoomd.context.initialize()
model_dir = build_examples.lj_mol(9 - 1, 8)
with hoomd.htf.tfcompute(model_dir) as tfcompute:
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell()
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(), kT=1, tau=0.2)
tfcompute.attach(nlist, r_cut=rcut)
hoomd.run(8)
def test_single_atom_batched(self):
hoomd.context.initialize()
model_dir = build_examples.lj_mol(9 - 1, 8, '/tmp/test-lj-batch-lj')
with hoomd.htf.tfcompute(model_dir, _mock_mode=True) as tfcompute:
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell()
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(), kT=1, tau=0.2)
with self.assertRaises(ValueError):
tfcompute.attach(nlist, r_cut=rcut, batch_size=3)
hoomd.run(8)
def test_single_atom_malformed(self):
hoomd.context.initialize()
model_dir = build_examples.lj_mol(9 - 1, 8, '/tmp/test-lj-malf-lj')
with hoomd.htf.tfcompute(model_dir, _mock_mode=True) as tfcompute:
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell()
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(), kT=1, tau=0.2)
with self.assertRaises(ValueError):
tfcompute.attach(nlist, r_cut=rcut, mol_indices=[1, 1, 4, 24])
hoomd.run(8)
def test_multi_atom(self):
hoomd.context.initialize()
model_dir = build_examples.lj_mol(9 - 1, 8, '/tmp/test-lj-multi-lj')
with hoomd.htf.tfcompute(model_dir) as tfcompute:
N = 3 * 3
NN = N - 1
rcut = 5.0
system = hoomd.init.create_lattice(unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
nlist = hoomd.md.nlist.cell()
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(), kT=1, tau=0.2)
tfcompute.attach(nlist,
r_cut=rcut,
mol_indices=[[0, 1, 2], [3, 4], [5, 6, 7], [8]])
hoomd.run(8)
def test_mol_force_output(self):
hoomd.context.initialize()
model_dir = build_examples.mol_force()
with hoomd.htf.tfcompute(model_dir) as tfcompute:
system = hoomd.init.create_lattice(unitcell=hoomd.lattice.sq(a=4.0),
n=[3, 3])
hoomd.md.integrate.mode_standard(dt=0.005)
hoomd.md.integrate.nvt(group=hoomd.group.all(), kT=1, tau=0.2)
tfcompute.attach(mol_indices=[[0, 1, 2], [3, 4], [5, 6, 7], [8]])
hoomd.run(8)
def test_reverse_mol_index(self):
# need this for logging
hoomd.context.initialize()
# each element is the index of atoms in the molecule
mi = [[1, 2, 0, 0, 0], [3, 0, 0, 0, 0], [4, 5, 7, 8, 9]]
rmi = hoomd.htf._make_reverse_indices(mi)
# should be
rmi_ref = [
[0, 0],
[0, 1],
[1, 0],
[2, 0],
[2, 1],
[-1, -1],
[2, 2],
[2, 3],
[2, 4]
]
self.assertEqual(rmi, rmi_ref)
if __name__ == '__main__':
unittest.main()
| 41.925926
| 94
| 0.536135
| 3,012
| 23,772
| 4.103586
| 0.092961
| 0.043608
| 0.064725
| 0.042476
| 0.795146
| 0.777832
| 0.760761
| 0.732362
| 0.719579
| 0.697249
| 0
| 0.038432
| 0.345448
| 23,772
| 566
| 95
| 42
| 0.755913
| 0.038028
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| 0
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| 0.019047
| 0.001839
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| 0.001767
| 0.029762
| 1
| 0.049603
| false
| 0
| 0.025794
| 0
| 0.083333
| 0.003968
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
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| null | 0
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| 0
| 0
|
0
| 5
|
1ae679a2db830e27ac817f9e4c10b20cc5d5dc4e
| 159
|
py
|
Python
|
citein/admin.py
|
josueischiu12/parcial3
|
d992835a6123a2bec25bab3472fc7785610448d7
|
[
"bzip2-1.0.6"
] | null | null | null |
citein/admin.py
|
josueischiu12/parcial3
|
d992835a6123a2bec25bab3472fc7785610448d7
|
[
"bzip2-1.0.6"
] | null | null | null |
citein/admin.py
|
josueischiu12/parcial3
|
d992835a6123a2bec25bab3472fc7785610448d7
|
[
"bzip2-1.0.6"
] | null | null | null |
from django.contrib import admin
from .models import Grado, Estudiante
# Register your models here.
admin.site.register(Grado)
admin.site.register(Estudiante)
| 26.5
| 37
| 0.81761
| 22
| 159
| 5.909091
| 0.545455
| 0.138462
| 0.261538
| 0
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| 0
| 0
| 0.100629
| 159
| 6
| 38
| 26.5
| 0.909091
| 0.163522
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| null | 0
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| 1
| 0
| 0
| 0
|
0
| 5
|
1afb7617e48a8458af9ca89f8393270446a46336
| 157
|
py
|
Python
|
service_area_mapping/map_modifier.py
|
lukereed/ServiceAreaMapping
|
edfd63845fab9592c372156cb588f3b63d60dc39
|
[
"MIT"
] | null | null | null |
service_area_mapping/map_modifier.py
|
lukereed/ServiceAreaMapping
|
edfd63845fab9592c372156cb588f3b63d60dc39
|
[
"MIT"
] | null | null | null |
service_area_mapping/map_modifier.py
|
lukereed/ServiceAreaMapping
|
edfd63845fab9592c372156cb588f3b63d60dc39
|
[
"MIT"
] | null | null | null |
from county_data import get_county_data
from plotter import Plotter
STATE = "Colorado"
df = get_county_data(state_name=STATE)
Plotter(df=df, state=STATE)
| 17.444444
| 39
| 0.802548
| 25
| 157
| 4.8
| 0.4
| 0.25
| 0.216667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121019
| 157
| 9
| 40
| 17.444444
| 0.869565
| 0
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| 0.050633
| 0
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| 0
| false
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| null | 1
| 1
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| null | 0
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| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1afbb7c4cf47e8be53f2cf871b396fece74252ec
| 106
|
py
|
Python
|
collections/nemo_asr/nemo_asr/parts/__init__.py
|
petermartigny/NeMo
|
b20821e637314940e36b63d32c601c43d1b74051
|
[
"Apache-2.0"
] | 1
|
2020-03-22T11:23:11.000Z
|
2020-03-22T11:23:11.000Z
|
collections/nemo_asr/nemo_asr/parts/__init__.py
|
petermartigny/NeMo
|
b20821e637314940e36b63d32c601c43d1b74051
|
[
"Apache-2.0"
] | null | null | null |
collections/nemo_asr/nemo_asr/parts/__init__.py
|
petermartigny/NeMo
|
b20821e637314940e36b63d32c601c43d1b74051
|
[
"Apache-2.0"
] | 1
|
2019-10-23T01:19:19.000Z
|
2019-10-23T01:19:19.000Z
|
from .manifest import Manifest
from .dataset import AudioDataset
from .features import WaveformFeaturizer
| 26.5
| 40
| 0.858491
| 12
| 106
| 7.583333
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113208
| 106
| 3
| 41
| 35.333333
| 0.968085
| 0
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| true
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| null | 0
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| 0
| 0
| 0
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| 1
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
2111237a114e7b477b4ab92b700c8fd0035f4a7e
| 31
|
py
|
Python
|
pisat/handler/handler_helper.py
|
jjj999/pisat
|
be96cfcd4a68ece14cb5f8745ab138e3931eb761
|
[
"MIT"
] | 1
|
2020-09-23T08:23:47.000Z
|
2020-09-23T08:23:47.000Z
|
pisat/handler/handler_helper.py
|
jjj999/pisat
|
be96cfcd4a68ece14cb5f8745ab138e3931eb761
|
[
"MIT"
] | 4
|
2020-07-01T06:31:05.000Z
|
2021-05-04T05:53:01.000Z
|
pisat/handler/handler_helper.py
|
jjj999/pisat
|
be96cfcd4a68ece14cb5f8745ab138e3931eb761
|
[
"MIT"
] | 2
|
2020-07-01T06:08:00.000Z
|
2020-09-20T00:52:43.000Z
|
class HandlerHelper:
pass
| 7.75
| 20
| 0.709677
| 3
| 31
| 7.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.258065
| 31
| 4
| 21
| 7.75
| 0.956522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
dcea57441a3238a0fe8877424297797aa6cb8890
| 74
|
py
|
Python
|
saleor/lib/python3.7/site-packages/versatileimagefield/__init__.py
|
cxsper/saleor
|
5566ddcdaf8f72ba872eca869798e66eb9cdae44
|
[
"BSD-3-Clause"
] | 340
|
2016-05-20T15:01:29.000Z
|
2022-03-24T07:54:29.000Z
|
saleor/lib/python3.7/site-packages/versatileimagefield/__init__.py
|
cxsper/saleor
|
5566ddcdaf8f72ba872eca869798e66eb9cdae44
|
[
"BSD-3-Clause"
] | 145
|
2016-05-18T13:05:10.000Z
|
2022-01-18T00:34:25.000Z
|
myvenv/lib/python3.6/site-packages/versatileimagefield/__init__.py
|
yog240597/saleor
|
b75a23827a4ec2ce91637f0afe6808c9d09da00a
|
[
"CC-BY-4.0"
] | 95
|
2016-05-18T12:01:04.000Z
|
2022-02-07T19:36:33.000Z
|
default_app_config = 'versatileimagefield.apps.VersatileImageFieldConfig'
| 37
| 73
| 0.891892
| 6
| 74
| 10.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040541
| 74
| 1
| 74
| 74
| 0.901408
| 0
| 0
| 0
| 0
| 0
| 0.675676
| 0.675676
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
dcf4d56e845626cad94a549908c75812619ae573
| 1,103
|
py
|
Python
|
tests/test_pipeline.py
|
pacinigit/xbad
|
da1e7b566dc071d7936e606d67dc65d212c0da2c
|
[
"MIT"
] | null | null | null |
tests/test_pipeline.py
|
pacinigit/xbad
|
da1e7b566dc071d7936e606d67dc65d212c0da2c
|
[
"MIT"
] | null | null | null |
tests/test_pipeline.py
|
pacinigit/xbad
|
da1e7b566dc071d7936e606d67dc65d212c0da2c
|
[
"MIT"
] | null | null | null |
import pytest
import torch
from smbd import SMBD
from sklearn.cluster import OPTICS
test_configs = [
dict(
device=torch.device("cuda:%d" % 1),
dataset="voc",
model="alexnet",
bias_method="box",
biased_class=7,
explainer="saliency",
rescale=2,
pca=True,
clustering_method=OPTICS(min_samples=20, xi=0.05, min_cluster_size=0.05),
),
dict(
device=torch.device("cuda:%d" % 1),
dataset="cifar10",
model="alexnet-cifar",
bias_method="box",
biased_class=7,
explainer="saliency",
rescale=2,
pca=True,
clustering_method=OPTICS(min_samples=20, xi=0.05, min_cluster_size=0.05),
),
]
@pytest.mark.parametrize("config", test_configs)
def test_SMBD_first_run(config):
# Running experiment with the chosen configurations.
pip = SMBD(**config)
_ = pip.run()
@pytest.mark.parametrize("config", test_configs)
def test_SMBD_second_run(config):
# Running experiment with the chosen configurations.
pip = SMBD(**config)
_ = pip.run()
| 23.978261
| 81
| 0.626473
| 136
| 1,103
| 4.911765
| 0.404412
| 0.017964
| 0.04491
| 0.062874
| 0.802395
| 0.802395
| 0.802395
| 0.802395
| 0.700599
| 0.553892
| 0
| 0.028846
| 0.245694
| 1,103
| 45
| 82
| 24.511111
| 0.774038
| 0.091568
| 0
| 0.666667
| 0
| 0
| 0.078078
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055556
| false
| 0
| 0.111111
| 0
| 0.166667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
dcf75c877c9353762580b88283e864ae69f89f9d
| 171
|
py
|
Python
|
spotichart/spotipy/__init__.py
|
DatosAbiertos2020/spotichart
|
9eee1b6dfcffcefa66368d2095d0f0a7efdb74db
|
[
"MIT"
] | 3
|
2019-10-16T15:21:10.000Z
|
2019-10-16T23:49:37.000Z
|
spotichart/spotipy/__init__.py
|
Manolomon/topsipy
|
9eee1b6dfcffcefa66368d2095d0f0a7efdb74db
|
[
"MIT"
] | 1
|
2021-06-02T00:24:56.000Z
|
2021-06-02T00:24:56.000Z
|
spotichart/spotipy/__init__.py
|
Manolomon/topsipy
|
9eee1b6dfcffcefa66368d2095d0f0a7efdb74db
|
[
"MIT"
] | 2
|
2020-05-07T04:35:34.000Z
|
2020-07-05T01:50:54.000Z
|
# -*- coding: utf-8 -*-
"""spotipy package."""
from __future__ import unicode_literals
from .__about__ import (
__version__
)
from .main import generate_top_chart
| 14.25
| 39
| 0.71345
| 20
| 171
| 5.35
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007042
| 0.169591
| 171
| 11
| 40
| 15.545455
| 0.746479
| 0.22807
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0d23ac3ba995a4104402fbeb49d467699c56329c
| 69
|
py
|
Python
|
map/__init__.py
|
RealAllenDa/EEWMap
|
4031c951fac97a099fb715c38a1dd77c52390a15
|
[
"Apache-2.0"
] | null | null | null |
map/__init__.py
|
RealAllenDa/EEWMap
|
4031c951fac97a099fb715c38a1dd77c52390a15
|
[
"Apache-2.0"
] | 7
|
2021-11-20T06:52:50.000Z
|
2022-01-13T10:01:21.000Z
|
map/__init__.py
|
RealAllenDa/EEWMap
|
4031c951fac97a099fb715c38a1dd77c52390a15
|
[
"Apache-2.0"
] | null | null | null |
"""
EEWMap - Map
The earthquake map.
"""
from .views import map_bp
| 11.5
| 25
| 0.666667
| 10
| 69
| 4.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.202899
| 69
| 5
| 26
| 13.8
| 0.818182
| 0.463768
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0d3c17cdafc0eab8835ae66b10e98059f78a40a7
| 77
|
py
|
Python
|
prozorro_sale_start_kit/__main__.py
|
Kuzmenko-Pavel/Prozorro-Sale-Start-Kit
|
b8eefe7351786bf1a1fd738d10aa0f2faf57454a
|
[
"MIT"
] | null | null | null |
prozorro_sale_start_kit/__main__.py
|
Kuzmenko-Pavel/Prozorro-Sale-Start-Kit
|
b8eefe7351786bf1a1fd738d10aa0f2faf57454a
|
[
"MIT"
] | null | null | null |
prozorro_sale_start_kit/__main__.py
|
Kuzmenko-Pavel/Prozorro-Sale-Start-Kit
|
b8eefe7351786bf1a1fd738d10aa0f2faf57454a
|
[
"MIT"
] | null | null | null |
import sys
from prozorro_sale_start_kit.main import main
main(sys.argv[1:])
| 15.4
| 45
| 0.805195
| 14
| 77
| 4.214286
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0.103896
| 77
| 4
| 46
| 19.25
| 0.84058
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
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