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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
101c05b9e9cd39bb7710d6e1c7b98a1193ccc7c1
| 216
|
py
|
Python
|
neuralnet/rnn/src/rnn.py
|
hsmtknj/ml
|
ad8e050cd754e5a1c73ed5df3bc223a1f6dc4148
|
[
"MIT"
] | null | null | null |
neuralnet/rnn/src/rnn.py
|
hsmtknj/ml
|
ad8e050cd754e5a1c73ed5df3bc223a1f6dc4148
|
[
"MIT"
] | null | null | null |
neuralnet/rnn/src/rnn.py
|
hsmtknj/ml
|
ad8e050cd754e5a1c73ed5df3bc223a1f6dc4148
|
[
"MIT"
] | null | null | null |
import numpy as np
import tensorflow as tf
from sklearn.utils import shuffle
from sklearn.metrics import f1_score
from sklearn.model_selection import train_test_split
if __name__ == '__main__':
# laod data
| 21.6
| 52
| 0.787037
| 32
| 216
| 4.9375
| 0.71875
| 0.208861
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005587
| 0.171296
| 216
| 9
| 53
| 24
| 0.877095
| 0.041667
| 0
| 0
| 0
| 0
| 0.039024
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.833333
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
10367814b388cc87759c387d806b3cf139b69ee2
| 83
|
py
|
Python
|
src/utils/base_task.py
|
vaaaaanquish/gokart-pipelner-templete
|
603cf550e65a78b2267abe9d9d5d171a25de85ad
|
[
"MIT"
] | null | null | null |
src/utils/base_task.py
|
vaaaaanquish/gokart-pipelner-templete
|
603cf550e65a78b2267abe9d9d5d171a25de85ad
|
[
"MIT"
] | null | null | null |
src/utils/base_task.py
|
vaaaaanquish/gokart-pipelner-templete
|
603cf550e65a78b2267abe9d9d5d171a25de85ad
|
[
"MIT"
] | null | null | null |
import gokart
class GokartTask(gokart.TaskOnKart):
task_namespace = 'gokart'
| 13.833333
| 36
| 0.759036
| 9
| 83
| 6.888889
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156627
| 83
| 5
| 37
| 16.6
| 0.885714
| 0
| 0
| 0
| 0
| 0
| 0.072289
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1047b79a78745d1bfdf0cc164f2ac6b681d3378e
| 584
|
py
|
Python
|
platform/core/polyaxon/options/option_manager.py
|
hackerwins/polyaxon
|
ff56a098283ca872abfbaae6ba8abba479ffa394
|
[
"Apache-2.0"
] | null | null | null |
platform/core/polyaxon/options/option_manager.py
|
hackerwins/polyaxon
|
ff56a098283ca872abfbaae6ba8abba479ffa394
|
[
"Apache-2.0"
] | null | null | null |
platform/core/polyaxon/options/option_manager.py
|
hackerwins/polyaxon
|
ff56a098283ca872abfbaae6ba8abba479ffa394
|
[
"Apache-2.0"
] | null | null | null |
from typing import Tuple
from hestia.manager_interface import ManagerInterface
class OptionManager(ManagerInterface):
def _get_state_data(self, # pylint:disable=arguments-differ
option: 'Option') -> Tuple[str, 'Option']:
return option.key, option
def subscribe(self, option: 'Option') -> None: # pylint:disable=arguments-differ
"""
>>> subscribe(SomeOption)
"""
super().subscribe(obj=option)
def get(self, key: str) -> 'option': # pylint:disable=arguments-differ
return super().get(key=key)
| 29.2
| 85
| 0.638699
| 62
| 584
| 5.951613
| 0.451613
| 0.105691
| 0.178862
| 0.227642
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.236301
| 584
| 19
| 86
| 30.736842
| 0.827354
| 0.208904
| 0
| 0
| 0
| 0
| 0.055046
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.3
| false
| 0
| 0.2
| 0.2
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
105a95f82362f2084d5b5a2c82b6276aeb4a2069
| 95
|
py
|
Python
|
Interface/ayurgenomics/preprocess/apps.py
|
ishitamed19/AyurGenomics-Viz-ML
|
ff39d07698eff8cc2cbbeeded58aef5aa2c29ec3
|
[
"MIT"
] | 4
|
2019-05-28T06:20:36.000Z
|
2019-07-14T07:12:10.000Z
|
smallRNA/preprocess/apps.py
|
ahmetrasit/smallRNA
|
9e76065b6fdc834b46537519b5aa0c4a0290cfdc
|
[
"MIT"
] | null | null | null |
smallRNA/preprocess/apps.py
|
ahmetrasit/smallRNA
|
9e76065b6fdc834b46537519b5aa0c4a0290cfdc
|
[
"MIT"
] | 8
|
2019-05-28T08:33:07.000Z
|
2020-01-12T16:56:50.000Z
|
from django.apps import AppConfig
class PreprocessConfig(AppConfig):
name = 'preprocess'
| 15.833333
| 34
| 0.768421
| 10
| 95
| 7.3
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 95
| 5
| 35
| 19
| 0.9125
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
105eb337a15da973022187d0837a2a00233bccbe
| 1,014
|
py
|
Python
|
Python/implement-rand10-using-rand7.py
|
zhangxiaoya/LeetCode
|
d33302aa47cc4d7e90be158e2296eb46a18a764b
|
[
"MIT"
] | null | null | null |
Python/implement-rand10-using-rand7.py
|
zhangxiaoya/LeetCode
|
d33302aa47cc4d7e90be158e2296eb46a18a764b
|
[
"MIT"
] | null | null | null |
Python/implement-rand10-using-rand7.py
|
zhangxiaoya/LeetCode
|
d33302aa47cc4d7e90be158e2296eb46a18a764b
|
[
"MIT"
] | null | null | null |
# Time: O(2 * (1 + (9/49) + (9/49)^2 + ...)) = O(2/(1-(9/49)) = O(2.45)
# Space: O(1)
# Given a function rand7 which generates a uniform random integer in the range 1 to 7,
# write a function rand10 which generates a uniform random integer in the range 1 to 10.
#
# Do NOT use system's Math.random().
#
# Example 1:
#
# Input: 1
# Output: [7]
# Example 2:
#
# Input: 2
# Output: [8,4]
# Example 3:
#
# Input: 3
# Output: [8,1,10]
#
# Note:
#
# rand7 is predefined.
# Each testcase has one argument: n, the number of times that rand10 is called.
#
# Follow up:
# - What is the expected value for the number of calls to rand7() function?
# - Could you minimize the number of calls to rand7()?
#
# The rand7() API is already defined for you.
import random
def rand7():
return random.randint(1, 7)
class Solution(object):
def rand10(self):
"""
:rtype: int
"""
while True:
x = (rand7()-1)*7 + (rand7()-1)
if x < 40:
return x%10 + 1
| 20.693878
| 88
| 0.589744
| 162
| 1,014
| 3.691358
| 0.487654
| 0.010033
| 0.055184
| 0.013378
| 0.257525
| 0.237458
| 0.160535
| 0.160535
| 0.160535
| 0.160535
| 0
| 0.080645
| 0.266272
| 1,014
| 48
| 89
| 21.125
| 0.723118
| 0.682446
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.111111
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
1083cae64d7d60134af1813a2d912dcf567973b7
| 1,730
|
py
|
Python
|
my_application/models/users.py
|
rap7or22/WIRELESS-THUNDER
|
9ec5110b2b249a4fa6cd37eeb03e50ccfe7290cb
|
[
"MIT"
] | 1
|
2019-02-06T23:25:37.000Z
|
2019-02-06T23:25:37.000Z
|
my_application/models/users.py
|
rap7or22/WIRELESS-THUNDER
|
9ec5110b2b249a4fa6cd37eeb03e50ccfe7290cb
|
[
"MIT"
] | 17
|
2019-02-07T05:25:00.000Z
|
2019-02-09T04:11:01.000Z
|
my_application/models/users.py
|
rap7or22/WIRELESS-THUNDER
|
9ec5110b2b249a4fa6cd37eeb03e50ccfe7290cb
|
[
"MIT"
] | 1
|
2019-02-07T23:08:24.000Z
|
2019-02-07T23:08:24.000Z
|
from flask_login import UserMixin
from datetime import datetime
from bcrypt import hashpw, checkpw, gensalt
from my_application.models import db
class User(UserMixin, db.Model):
__tablename__ = 'user'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
username = db.Column(db.String(255), index=True, unique=True, nullable=False)
password = db.Column(db.String(255), index=True, unique=True, nullable=False)
cookie = db.Column(db.String(255))
cookie_expiration = db.Column(db.DateTime(), nullable=False, default=datetime.now())
failure = db.Column(db.Integer, nullable=False)
failure_timeout = db.Column(db.DateTime(), default=datetime.now())
def is_active(self):
return True
def set_password(self, password):
if type(password) is str:
password = bytes(password, 'utf-8')
self.password = hashpw(password, gensalt())
def check_password(self, password):
return checkpw(bytes(password, 'utf-8'), bytes(self.password, 'utf-8'))
def get_id(self):
return self.username
def is_authenticated(self):
if self.cookie_expiration > datetime.now():
return True
return False
def check_valid_cookie(self, session_cookie):
if session_cookie == self.cookie:
if self.cookie_expiration > datetime.now():
return True
return False
def is_anonymous(self):
return False
def __init__(self, username, password):
self.username = username
User.set_password(self, password)
self.failure = 0
self.failure_timeout = datetime.now()
def __repr__(self):
return "<User '{}'>".format(self.username)
| 31.454545
| 88
| 0.663006
| 215
| 1,730
| 5.190698
| 0.283721
| 0.050179
| 0.062724
| 0.043011
| 0.210573
| 0.193548
| 0.193548
| 0.193548
| 0.193548
| 0.193548
| 0
| 0.009701
| 0.225434
| 1,730
| 54
| 89
| 32.037037
| 0.823134
| 0
| 0
| 0.195122
| 0
| 0
| 0.017341
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.219512
| false
| 0.219512
| 0.097561
| 0.121951
| 0.756098
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
52b13fac76a0810a7a3d8343656817f571aa24a8
| 130
|
py
|
Python
|
associationRules/__init__.py
|
paslo22/AssociationRules
|
2d06f36b4eaefb6e67dd99f20b04cfa8a59d5db4
|
[
"MIT"
] | null | null | null |
associationRules/__init__.py
|
paslo22/AssociationRules
|
2d06f36b4eaefb6e67dd99f20b04cfa8a59d5db4
|
[
"MIT"
] | null | null | null |
associationRules/__init__.py
|
paslo22/AssociationRules
|
2d06f36b4eaefb6e67dd99f20b04cfa8a59d5db4
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import, unicode_literals
from .celery_settings import app as celery_app
__all__ = ['celery_app']
| 26
| 56
| 0.830769
| 18
| 130
| 5.277778
| 0.611111
| 0.189474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 130
| 4
| 57
| 32.5
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
52e86740cfbf5e657707eca031fc229071f394c8
| 98
|
py
|
Python
|
lino_book/projects/events/tests/test_webindex.py
|
khchine5/book
|
b6272d33d49d12335d25cf0a2660f7996680b1d1
|
[
"BSD-2-Clause"
] | 1
|
2018-01-12T14:09:58.000Z
|
2018-01-12T14:09:58.000Z
|
lino_book/projects/events/tests/test_webindex.py
|
khchine5/book
|
b6272d33d49d12335d25cf0a2660f7996680b1d1
|
[
"BSD-2-Clause"
] | 4
|
2018-02-06T19:53:10.000Z
|
2019-08-01T21:47:44.000Z
|
lino_book/projects/events/tests/test_webindex.py
|
khchine5/book
|
b6272d33d49d12335d25cf0a2660f7996680b1d1
|
[
"BSD-2-Clause"
] | null | null | null |
from lino.utils.djangotest import WebIndexTestCase
WebIndexTestCase.fixtures = 'demo vor'.split()
| 32.666667
| 50
| 0.826531
| 11
| 98
| 7.363636
| 0.909091
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| 98
| 2
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| 1
| 0
| 0
| 0
|
0
| 4
|
52fab3b7d0752161c414dcac82f1a4b225917579
| 104
|
py
|
Python
|
wsgi.py
|
PhilippVerpoort/blue-green-H2
|
a9b9bd27d2459df0f14e719a466af5ed6318d7e0
|
[
"MIT"
] | null | null | null |
wsgi.py
|
PhilippVerpoort/blue-green-H2
|
a9b9bd27d2459df0f14e719a466af5ed6318d7e0
|
[
"MIT"
] | null | null | null |
wsgi.py
|
PhilippVerpoort/blue-green-H2
|
a9b9bd27d2459df0f14e719a466af5ed6318d7e0
|
[
"MIT"
] | 1
|
2022-03-19T16:11:53.000Z
|
2022-03-19T16:11:53.000Z
|
import sys, os
sys.path.insert(0,os.path.dirname(__file__))
from webapp import flask_app as application
| 26
| 44
| 0.807692
| 18
| 104
| 4.388889
| 0.777778
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.010638
| 0.096154
| 104
| 3
| 45
| 34.666667
| 0.829787
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| 1
| 0
| 0
| 0
|
0
| 4
|
5e1047bf00704115ddcaafe6aa70548049639022
| 500
|
py
|
Python
|
boto3_type_annotations/boto3_type_annotations/route53domains/paginator.py
|
cowboygneox/boto3_type_annotations
|
450dce1de4e066b939de7eac2ec560ed1a7ddaa2
|
[
"MIT"
] | 119
|
2018-12-01T18:20:57.000Z
|
2022-02-02T10:31:29.000Z
|
boto3_type_annotations/boto3_type_annotations/route53domains/paginator.py
|
cowboygneox/boto3_type_annotations
|
450dce1de4e066b939de7eac2ec560ed1a7ddaa2
|
[
"MIT"
] | 15
|
2018-11-16T00:16:44.000Z
|
2021-11-13T03:44:18.000Z
|
boto3_type_annotations/boto3_type_annotations/route53domains/paginator.py
|
cowboygneox/boto3_type_annotations
|
450dce1de4e066b939de7eac2ec560ed1a7ddaa2
|
[
"MIT"
] | 11
|
2019-05-06T05:26:51.000Z
|
2021-09-28T15:27:59.000Z
|
from typing import Dict
from datetime import datetime
from botocore.paginate import Paginator
class ListDomains(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
pass
class ListOperations(Paginator):
def paginate(self, SubmittedSince: datetime = None, PaginationConfig: Dict = None) -> Dict:
pass
class ViewBilling(Paginator):
def paginate(self, Start: datetime = None, End: datetime = None, PaginationConfig: Dict = None) -> Dict:
pass
| 26.315789
| 108
| 0.716
| 55
| 500
| 6.509091
| 0.363636
| 0.100559
| 0.167598
| 0.201117
| 0.363128
| 0.363128
| 0.24581
| 0
| 0
| 0
| 0
| 0
| 0.198
| 500
| 18
| 109
| 27.777778
| 0.892768
| 0
| 0
| 0.25
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| 0
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| 1
| 0.25
| false
| 0.25
| 0.25
| 0
| 0.75
| 0
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| 0
| 0
| null | 0
| 0
| 1
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| null | 0
| 0
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| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
eaa2cb00a69449956edfe01c062ddd44ab1368b0
| 209
|
py
|
Python
|
LeetCode/066. Plus One.py
|
QinganZhao/LXXtCode
|
9debb10f9d33dcdb3def9d141a638b8172d25ff3
|
[
"MIT"
] | 3
|
2019-01-08T02:53:44.000Z
|
2021-07-26T07:03:27.000Z
|
LeetCode/066. Plus One.py
|
QinganZhao/LXXtCode
|
9debb10f9d33dcdb3def9d141a638b8172d25ff3
|
[
"MIT"
] | null | null | null |
LeetCode/066. Plus One.py
|
QinganZhao/LXXtCode
|
9debb10f9d33dcdb3def9d141a638b8172d25ff3
|
[
"MIT"
] | null | null | null |
class Solution:
def plusOne(self, digits):
"""
:type digits: List[int]
:rtype: List[int]
"""
return list(map(int, str(int(''.join(map(str, digits))) + 1)))
| 23.222222
| 70
| 0.483254
| 24
| 209
| 4.208333
| 0.625
| 0.138614
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007246
| 0.339713
| 209
| 8
| 71
| 26.125
| 0.724638
| 0.196172
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
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| 1
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| null | 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
eaae71c1b5074dfdd42b1ecef67b816c212c34ac
| 123
|
py
|
Python
|
click_project/__main__.py
|
hobeika/click-project
|
216da0a3b3551cc06324c98f295c90176380f201
|
[
"MIT"
] | null | null | null |
click_project/__main__.py
|
hobeika/click-project
|
216da0a3b3551cc06324c98f295c90176380f201
|
[
"MIT"
] | 1
|
2021-03-17T10:39:54.000Z
|
2021-03-17T10:40:39.000Z
|
click_project/__main__.py
|
hobeika/click-project
|
216da0a3b3551cc06324c98f295c90176380f201
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
from click_project.main import main
if __name__ == "__main__":
main()
| 13.666667
| 35
| 0.642276
| 17
| 123
| 4.117647
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019802
| 0.178862
| 123
| 8
| 36
| 15.375
| 0.673267
| 0.341463
| 0
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| 0
| 0.101266
| 0
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| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
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| 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
| 0
| 0
|
0
| 4
|
eab6a727155ba0ae2ba1ff9d40ffaf9cfe8aa0d0
| 81
|
py
|
Python
|
imc/apps.py
|
VictorArnaud/sdcurve
|
d5397b0193fb01e94dc93c9fad5e2db195754384
|
[
"MIT"
] | null | null | null |
imc/apps.py
|
VictorArnaud/sdcurve
|
d5397b0193fb01e94dc93c9fad5e2db195754384
|
[
"MIT"
] | 8
|
2018-05-17T22:50:18.000Z
|
2018-05-19T01:15:26.000Z
|
imc/apps.py
|
VWApplications/sdcurve
|
d5397b0193fb01e94dc93c9fad5e2db195754384
|
[
"MIT"
] | 1
|
2018-06-27T00:18:21.000Z
|
2018-06-27T00:18:21.000Z
|
from django.apps import AppConfig
class ImcConfig(AppConfig):
name = 'imc'
| 13.5
| 33
| 0.728395
| 10
| 81
| 5.9
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185185
| 81
| 5
| 34
| 16.2
| 0.893939
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
eaba677bf063947108e4c81c2b89f6ca80961575
| 9,398
|
py
|
Python
|
util/sampler.py
|
weixk2015/DHSP3D
|
02775c634da6637fc09dae42a95177618199c11c
|
[
"BSD-3-Clause"
] | 3
|
2022-02-17T06:41:20.000Z
|
2022-03-10T12:07:58.000Z
|
util/sampler.py
|
weixk2015/DHSP3D
|
02775c634da6637fc09dae42a95177618199c11c
|
[
"BSD-3-Clause"
] | 2
|
2022-01-05T09:52:24.000Z
|
2022-02-14T06:27:19.000Z
|
util/sampler.py
|
weixk2015/DHSP3D
|
02775c634da6637fc09dae42a95177618199c11c
|
[
"BSD-3-Clause"
] | 1
|
2022-01-05T06:31:07.000Z
|
2022-01-05T06:31:07.000Z
|
import torch
import numpy as np
from torch.autograd import Variable
import torch.nn.functional as F
def sampler(faces, verts, n, bypass=False,sigma = 0.0):
"""Sample n verts given tri-mesh.
:Parameters:
faces : batch_size * face_num * 3
The faces of the mesh, start from 1.
verts : batch_size * vert_num * 3
The verts of the mesh.
n : an int number
sample num
:Return:
The sampled n verts: batch_size * n * 3
"""
if bypass:
return verts, verts
batch_size = faces.shape[0]
faces_flatten = faces.view(batch_size, -1) # b * (nv * 3)
face_verts = verts[:, faces_flatten[0]].view(batch_size, -1, 3, 3) # b * nf * 3 * 3
for i in range(batch_size):
# could batch?
face_verts[i] = verts[i, faces_flatten[i]].view(-1, 3, 3) # nf * 3 * 3
v1 = face_verts[:, :, 1] - face_verts[:, :, 0] # b * nv * 3
v2 = face_verts[:, :, 2] - face_verts[:, :, 0] # b * nv * 3
# cal face areas
areas = torch.sqrt(
torch.abs(torch.sum(v1 * v1, dim=-1) * torch.sum(v2 * v2, dim=-1) - (torch.sum(v1 * v2, dim=-1)) ** 2)) / 2.0
sample_verts = torch.ones(batch_size, n, 3, 3, device=faces.device)
sample_faces = torch.ones(batch_size, n, device=faces.device).long()
for i, area in enumerate(areas):
# could not batch
sample = torch.multinomial(area, n, replacement=True) # sample weighted
sample_faces[i] = sample
sample_verts[i] = face_verts[i, sample]
sample_v1 = sample_verts[:, :, 1] - sample_verts[:, :, 0]
sample_v2 = sample_verts[:, :, 2] - sample_verts[:, :, 0]
sample_norms = torch.cross(sample_v1, sample_v2)
sample_norms = sample_norms / (torch.norm(sample_norms, dim=-1, keepdim=True)+1e-9)
prob_vec1, prob_vec2 = torch.rand(batch_size, n, device=faces.device), torch.rand(batch_size,
n,
device=faces.device) # uniform sample a1, a2
mask = prob_vec1 + prob_vec2 > 1 # if a1 + a2 > 1, adjust a1 and a2
prob_vec1[mask] = 1 - prob_vec1[mask]
prob_vec2[mask] = 1 - prob_vec2[mask]
target_points = sample_verts[:, :, 0] + (sample_v1 * prob_vec1.unsqueeze(-1) + sample_v2 * prob_vec2.unsqueeze(-1))
dists = torch.min(torch.norm(sample_verts - target_points.unsqueeze(-2), dim=-1), dim=-1)[0]
# ratio = 1/dists
# ratio = ratio/torch.mean(ratio)
# sigma = self.options.sample_sigma - self.options.sample_sigma * (self.options.cur_step % 500) / \
# (500 * 2)
if sigma > 0:
ratio = torch.exp(-(dists / (2 * (sigma ** 2))))
else:
ratio = dists.clone()
ratio[0,:]=1.
return target_points, sample_norms, ratio
def sampler_color(faces, verts, n, colors=None, bypass=False):
"""Sample n colors given tri-mesh.
:Parameters:
faces : batch_size * face_num * 3
The faces of the mesh, start from 1.
verts : batch_size * vert_num * 3
The verts of the mesh.
n : an int number
sample num
:Return:
The sampled n verts: batch_size * n * 3
"""
if bypass:
return verts, verts, colors
if colors is None:
return sampler(faces, verts, n)
batch_size = faces.shape[0]
faces_flatten = faces.view(batch_size, -1) # b * (nv * 3)
face_verts = verts[:, faces_flatten[0]].view(batch_size, -1, 3, 3) # b * nf * 3 * 3
face_colors = colors[:, faces_flatten[0]].view(batch_size, -1, 3, 3) # b * nf * 3 * 3
for i in range(batch_size):
# could batch?
face_verts[i] = verts[i, faces_flatten[i]].view(-1, 3, 3) # nf * 3 * 3
face_colors[i] = colors[i, faces_flatten[i]].view(-1, 3, 3) # nf * 3 * 3
v1 = face_verts[:, :, 1] - face_verts[:, :, 0] # b * nv * 3
v2 = face_verts[:, :, 2] - face_verts[:, :, 0] # b * nv * 3
# cal face areas
areas = torch.sqrt(
torch.abs(torch.sum(v1 * v1, dim=-1) * torch.sum(v2 * v2, dim=-1) - (torch.sum(v1 * v2, dim=-1)) ** 2)) / 2.0
sample_verts = torch.ones(batch_size, n, 3, 3, device=faces.device)
sample_colors = torch.ones(batch_size, n, 3, 3, device=faces.device)
sample_faces = torch.ones(batch_size, n, device=faces.device).long()
for i, area in enumerate(areas):
# could not batch
sample = torch.multinomial(area, n, replacement=True) # sample weighted
sample_faces[i] = sample
sample_verts[i] = face_verts[i, sample]
sample_colors[i] = face_colors[i, sample]
sample_v1 = sample_verts[:, :, 1] - sample_verts[:, :, 0]
sample_v2 = sample_verts[:, :, 2] - sample_verts[:, :, 0]
sample_c1 = sample_colors[:, :, 1] - sample_colors[:, :, 0]
sample_c2 = sample_colors[:, :, 2] - sample_colors[:, :, 0]
prob_vec1, prob_vec2 = torch.rand(batch_size, n, device=faces.device), torch.rand(batch_size,
n,
device=faces.device) # uniform sample a1, a2
mask = prob_vec1 + prob_vec2 > 1 # if a1 + a2 > 1, adjust a1 and a2
prob_vec1[mask] = 1 - prob_vec1[mask]
prob_vec2[mask] = 1 - prob_vec2[mask]
target_points = sample_verts[:, :, 0] + (sample_v1 * prob_vec1.unsqueeze(-1) + sample_v2 * prob_vec2.unsqueeze(-1))
target_colors = sample_colors[:, :, 0] + (sample_c1 * prob_vec1.unsqueeze(-1) + sample_c2 * prob_vec2.unsqueeze(-1))
return target_points, None, target_colors
def sampler_uv(faces, verts, n, uvs=None, face_uvs=None,colors = None, bypass=False):
"""Sample n uvs given tri-mesh.
:Parameters:
faces : batch_size * face_num * 3
The faces of the mesh, start from 1.
verts : batch_size * vert_num * 3
The verts of the mesh.
n : an int number
sample num
:Return:
The sampled n verts: batch_size * n * 3
"""
if bypass:
return verts, verts, uvs
if uvs is None:
return sampler(faces, verts, n)
batch_size = faces.shape[0]
faces_flatten = faces.view(batch_size, -1) # b * (nv * 3)
face_uvs_flatten = face_uvs.view(batch_size, -1) # b * (nv * 3)
face_verts = verts[:, faces_flatten[0]].view(batch_size, -1, 3, 3) # b * nf * 3 * 3
face_uvs = uvs[:, face_uvs_flatten[0]].view(batch_size, -1, 3, 2) # b * nf * 3 * 2
for i in range(batch_size):
# could batch?
face_verts[i] = verts[i, faces_flatten[i]].view(-1, 3, 3) # nf * 3 * 3
face_uvs[i] = uvs[i, face_uvs_flatten[i]].view(-1, 3, 2) # nf * 2 * 3
v1 = face_verts[:, :, 1] - face_verts[:, :, 0] # b * nv * 3
v2 = face_verts[:, :, 2] - face_verts[:, :, 0] # b * nv * 3
# cal face areas
areas = torch.sqrt(
torch.abs(torch.sum(v1 * v1, dim=-1) * torch.sum(v2 * v2, dim=-1) - (torch.sum(v1 * v2, dim=-1)) ** 2)) / 2.0
sample_verts = torch.ones(batch_size, n, 3, 3, device=faces.device)
sample_uvs = torch.ones(batch_size, n, 3, 2, device=faces.device)
sample_faces = torch.ones(batch_size, n, device=faces.device).long()
for i, area in enumerate(areas):
# could not batch
sample = torch.multinomial(area, n, replacement=True) # sample weighted
sample_faces[i] = sample
sample_verts[i] = face_verts[i, sample]
sample_uvs[i] = face_uvs[i, sample]
sample_v1 = sample_verts[:, :, 1] - sample_verts[:, :, 0]
sample_v2 = sample_verts[:, :, 2] - sample_verts[:, :, 0]
sample_u1 = sample_uvs[:, :, 1] - sample_uvs[:, :, 0]
sample_u2 = sample_uvs[:, :, 2] - sample_uvs[:, :, 0]
#sample_c1 = sample_colors[:, :, 1] - sample_colors[:, :, 0]
#sample_c2 = sample_colors[:, :, 2] - sample_colors[:, :, 0]
prob_vec1, prob_vec2 = torch.rand(batch_size, n, device=faces.device), torch.rand(batch_size,
n,
device=faces.device) # uniform sample a1, a2
mask = prob_vec1 + prob_vec2 > 1 # if a1 + a2 > 1, adjust a1 and a2
prob_vec1[mask] = 1 - prob_vec1[mask]
prob_vec2[mask] = 1 - prob_vec2[mask]
target_points = sample_verts[:, :, 0] + (sample_v1 * prob_vec1.unsqueeze(-1) + sample_v2 * prob_vec2.unsqueeze(-1))
target_uvs = sample_uvs[:, :, 0] + (sample_u1 * prob_vec1.unsqueeze(-1) + sample_u2 * prob_vec2.unsqueeze(-1))
#target_colors = sample_colors[:, :, 0] + (sample_c1 * prob_vec1.unsqueeze(-1) + sample_c2 * prob_vec2.unsqueeze(-1))
return target_points, None, target_uvs#target_colors
def uv2color(uvs, texture):
new_uv = uvs.clone()
new_uv[:, 0] = ((uvs[:, 0] - 0.5)*2)
new_uv[:, 1] = -((uvs[:, 1] - 0.5)*2)
colors = F.grid_sample(texture.unsqueeze(0), new_uv.unsqueeze(0).unsqueeze(0))[0, :, 0] # 3 * nf
colors = torch.transpose(colors, 0, 1)
return colors
def test():
vertexes = []
faces = []
colors = []
with open('mesh0.obj') as f:
for line in f:
if len(line.split()) == 0:
continue
if line.split()[0] == 'v':
vertexes.append([float(v) for v in line.split()[1:4]])
if len(line.split()) > 4:
colors.append([float(v) for v in line.split()[4:7]])
if line.split()[0] == 'f':
faces.append([int(v) for v in line.split()[1:4]])
faces = np.vstack(faces).astype('int32') - 1
vertexes = np.vstack(vertexes).astype('float32')
faces = Variable(torch.LongTensor(faces).cuda()).unsqueeze(0).repeat(2, 1, 1)
vertexes = Variable(torch.FloatTensor(vertexes).cuda()).unsqueeze(0).repeat(2, 1, 1)
if len(colors) > 0:
colors = Variable(torch.FloatTensor(colors).cuda()).unsqueeze(0).repeat(2, 1, 1)
else:
colors = None
points, _ = sampler_color(faces, vertexes, 100000, colors=colors)
points = points[0].cpu().data.numpy()
vert = np.hstack((np.full([points.shape[0], 1], 'v'), points))
np.savetxt('res.obj', vert, fmt='%s', delimiter=' ')
if __name__ == '__main__':
test()
| 42.913242
| 128
| 0.621728
| 1,471
| 9,398
| 3.811013
| 0.104011
| 0.061006
| 0.030325
| 0.022476
| 0.751159
| 0.74117
| 0.727613
| 0.700499
| 0.687299
| 0.687299
| 0
| 0.048777
| 0.212492
| 9,398
| 218
| 129
| 43.110092
| 0.708688
| 0.193658
| 0
| 0.526667
| 0
| 0
| 0.005613
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033333
| false
| 0.04
| 0.026667
| 0
| 0.12
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
eabe122c22b9d564b67ac65eefb28281639ad94e
| 94
|
py
|
Python
|
blog/admin.py
|
aaronh1986/SOUND-STORE-milestone-4
|
287714bfcbe441afb17a28c55bef9ba47a62fd89
|
[
"CNRI-Python"
] | null | null | null |
blog/admin.py
|
aaronh1986/SOUND-STORE-milestone-4
|
287714bfcbe441afb17a28c55bef9ba47a62fd89
|
[
"CNRI-Python"
] | 40
|
2020-06-05T22:10:58.000Z
|
2022-03-11T23:56:09.000Z
|
blog/admin.py
|
aaronh1986/SOUND-STORE-milestone-4
|
287714bfcbe441afb17a28c55bef9ba47a62fd89
|
[
"CNRI-Python"
] | 1
|
2021-03-31T10:30:03.000Z
|
2021-03-31T10:30:03.000Z
|
from django.contrib import admin
from .models import BlogPost
admin.site.register(BlogPost)
| 15.666667
| 32
| 0.819149
| 13
| 94
| 5.923077
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117021
| 94
| 5
| 33
| 18.8
| 0.927711
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 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
| 0
| 0
|
0
| 4
|
ead16444d34f81d8fe1656e60b14ccdabff80ae3
| 4,071
|
py
|
Python
|
projectmanager/migrations/0005_auto_20200924_1753.py
|
leonolan2020/phoenix
|
b5956a7003e548f01255cbd5d0d76cfd0ac77a81
|
[
"MIT"
] | 1
|
2020-09-19T21:56:40.000Z
|
2020-09-19T21:56:40.000Z
|
projectmanager/migrations/0005_auto_20200924_1753.py
|
leonolan2020/phoenix
|
b5956a7003e548f01255cbd5d0d76cfd0ac77a81
|
[
"MIT"
] | null | null | null |
projectmanager/migrations/0005_auto_20200924_1753.py
|
leonolan2020/phoenix
|
b5956a7003e548f01255cbd5d0d76cfd0ac77a81
|
[
"MIT"
] | 5
|
2020-09-18T18:53:03.000Z
|
2020-10-21T14:42:00.000Z
|
# Generated by Django 3.1 on 2020-09-24 14:23
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('projectmanager', '0004_auto_20200924_1549'),
]
operations = [
migrations.RemoveField(
model_name='material',
name='brand',
),
migrations.RemoveField(
model_name='material',
name='category',
),
migrations.RemoveField(
model_name='materialcategory',
name='parent',
),
migrations.RemoveField(
model_name='materiallog',
name='material_object',
),
migrations.RemoveField(
model_name='materiallog',
name='profile',
),
migrations.RemoveField(
model_name='materialobject',
name='material',
),
migrations.RemoveField(
model_name='materialpackage',
name='material_objects',
),
migrations.RemoveField(
model_name='materialwarehouse',
name='employees',
),
migrations.RemoveField(
model_name='workunit',
name='employees',
),
migrations.AlterModelOptions(
name='projectcategory',
options={'verbose_name': 'ProjectCategory', 'verbose_name_plural': 'ProjectCategorys'},
),
migrations.RemoveField(
model_name='project',
name='action_text',
),
migrations.RemoveField(
model_name='project',
name='action_url',
),
migrations.RemoveField(
model_name='project',
name='amount',
),
migrations.RemoveField(
model_name='project',
name='category',
),
migrations.RemoveField(
model_name='project',
name='description',
),
migrations.RemoveField(
model_name='project',
name='location',
),
migrations.RemoveField(
model_name='project',
name='material_warehouses',
),
migrations.RemoveField(
model_name='project',
name='posttitle',
),
migrations.RemoveField(
model_name='project',
name='pretitle',
),
migrations.RemoveField(
model_name='project',
name='short_description',
),
migrations.RemoveField(
model_name='project',
name='status',
),
migrations.RemoveField(
model_name='project',
name='title',
),
migrations.RemoveField(
model_name='project',
name='video_text',
),
migrations.RemoveField(
model_name='project',
name='video_url',
),
migrations.RemoveField(
model_name='project',
name='work_units',
),
migrations.RemoveField(
model_name='projectcategory',
name='image_header',
),
migrations.RemoveField(
model_name='projectcategory',
name='priority',
),
migrations.RemoveField(
model_name='projectcategory',
name='title',
),
migrations.DeleteModel(
name='Employee',
),
migrations.DeleteModel(
name='Material',
),
migrations.DeleteModel(
name='MaterialBrand',
),
migrations.DeleteModel(
name='MaterialCategory',
),
migrations.DeleteModel(
name='MaterialLog',
),
migrations.DeleteModel(
name='MaterialObject',
),
migrations.DeleteModel(
name='MaterialPackage',
),
migrations.DeleteModel(
name='MaterialWareHouse',
),
migrations.DeleteModel(
name='WorkUnit',
),
]
| 26.607843
| 99
| 0.506264
| 274
| 4,071
| 7.364964
| 0.251825
| 0.280971
| 0.347869
| 0.401388
| 0.515362
| 0.515362
| 0.191278
| 0
| 0
| 0
| 0
| 0.011981
| 0.384918
| 4,071
| 152
| 100
| 26.782895
| 0.79393
| 0.010563
| 0
| 0.691781
| 1
| 0
| 0.18306
| 0.005713
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.006849
| 0
| 0.027397
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ead1d358c5509cbb6702151b82c22a34cbd567d9
| 64
|
py
|
Python
|
main.py
|
luiseduardobrito/mc346-1s-2015-projeto-python
|
17705fd0d26a789715453858379d3dd60452c0dd
|
[
"MIT"
] | null | null | null |
main.py
|
luiseduardobrito/mc346-1s-2015-projeto-python
|
17705fd0d26a789715453858379d3dd60452c0dd
|
[
"MIT"
] | null | null | null |
main.py
|
luiseduardobrito/mc346-1s-2015-projeto-python
|
17705fd0d26a789715453858379d3dd60452c0dd
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
import traveler
import math
traveler.start()
| 10.666667
| 17
| 0.765625
| 9
| 64
| 5.444444
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109375
| 64
| 6
| 18
| 10.666667
| 0.859649
| 0.25
| 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
| 0
| 0
|
0
| 4
|
ead329a96a7d235bc8469d4a3a95fec299d51237
| 169
|
py
|
Python
|
src/a10sa_script/exceptions.py
|
bhrevol/a10sa-script
|
80f2809c8fea83b4a9c5e1a40d738285b316021d
|
[
"MIT"
] | 1
|
2022-03-08T17:39:53.000Z
|
2022-03-08T17:39:53.000Z
|
src/a10sa_script/exceptions.py
|
bhrevol/a10sa-script
|
80f2809c8fea83b4a9c5e1a40d738285b316021d
|
[
"MIT"
] | 20
|
2022-01-20T09:11:36.000Z
|
2022-03-30T14:32:16.000Z
|
src/a10sa_script/exceptions.py
|
bhrevol/a10sa-script
|
80f2809c8fea83b4a9c5e1a40d738285b316021d
|
[
"MIT"
] | null | null | null |
"""Exceptions module."""
class A10SAError(Exception):
"""Base A10SA Script exception."""
class ParseError(A10SAError):
"""A script parsing error occured."""
| 16.9
| 41
| 0.680473
| 17
| 169
| 6.764706
| 0.764706
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042254
| 0.159763
| 169
| 9
| 42
| 18.777778
| 0.767606
| 0.467456
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
eae0356f4ebd18c5b273c722dbe923627b84c30a
| 1,982
|
py
|
Python
|
test/test_builder_asset_url_api.py
|
tweak-com-public/tweak-api-client-python
|
019f86da11fdb12683d516f8f37db5d717380bcc
|
[
"Apache-2.0"
] | null | null | null |
test/test_builder_asset_url_api.py
|
tweak-com-public/tweak-api-client-python
|
019f86da11fdb12683d516f8f37db5d717380bcc
|
[
"Apache-2.0"
] | null | null | null |
test/test_builder_asset_url_api.py
|
tweak-com-public/tweak-api-client-python
|
019f86da11fdb12683d516f8f37db5d717380bcc
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
tweak-api
Tweak API to integrate with all the Tweak services. You can find out more about Tweak at <a href='https://www.tweak.com'>https://www.tweak.com</a>, #tweak.
OpenAPI spec version: 1.0.8-beta.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
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.
"""
from __future__ import absolute_import
import os
import sys
import unittest
import TweakApi
from TweakApi.rest import ApiException
from TweakApi.apis.builder_asset_url_api import BuilderAssetUrlApi
class TestBuilderAssetUrlApi(unittest.TestCase):
""" BuilderAssetUrlApi unit test stubs """
def setUp(self):
self.api = TweakApi.apis.builder_asset_url_api.BuilderAssetUrlApi()
def tearDown(self):
pass
def test_builder_asset_urls_designs_id_get(self):
"""
Test case for builder_asset_urls_designs_id_get
Get folders for Builder Asset Backgrounds
"""
pass
def test_builder_asset_urls_templates_id_get(self):
"""
Test case for builder_asset_urls_templates_id_get
Get folders for Builder Asset Backgrounds
"""
pass
def test_builder_asset_urls_tweak_templates_id_get(self):
"""
Test case for builder_asset_urls_tweak_templates_id_get
Get folders for Builder Asset Backgrounds
"""
pass
if __name__ == '__main__':
unittest.main()
| 27.527778
| 165
| 0.706862
| 271
| 1,982
| 4.97048
| 0.446494
| 0.097996
| 0.071269
| 0.040089
| 0.323682
| 0.323682
| 0.248701
| 0.241277
| 0.241277
| 0.214551
| 0
| 0.005871
| 0.226539
| 1,982
| 71
| 166
| 27.915493
| 0.872798
| 0.571645
| 0
| 0.2
| 0
| 0
| 0.011662
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.2
| 0.35
| 0
| 0.65
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
eae1700eba22dadb889e783d1e4f59b8a2359c51
| 71
|
py
|
Python
|
kubernetes-serverless/kubeless/assets/get.py
|
litmusbot/katacoda-courses
|
7d24601e5e1a13d03039e31b7e818b08ff28e0ff
|
[
"Apache-2.0"
] | null | null | null |
kubernetes-serverless/kubeless/assets/get.py
|
litmusbot/katacoda-courses
|
7d24601e5e1a13d03039e31b7e818b08ff28e0ff
|
[
"Apache-2.0"
] | null | null | null |
kubernetes-serverless/kubeless/assets/get.py
|
litmusbot/katacoda-courses
|
7d24601e5e1a13d03039e31b7e818b08ff28e0ff
|
[
"Apache-2.0"
] | 2
|
2021-07-05T12:56:18.000Z
|
2021-12-24T14:11:51.000Z
|
def greeting(event, context):
return "Live to learn, learn to live."
| 23.666667
| 40
| 0.71831
| 11
| 71
| 4.636364
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169014
| 71
| 2
| 41
| 35.5
| 0.864407
| 0
| 0
| 0
| 0
| 0
| 0.408451
| 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
| 0
| 0
|
0
| 4
|
eaee738729806fe79af5768f94d659ef2a3a82cd
| 232
|
py
|
Python
|
tests/file_utils.py
|
adisbladis/geostore
|
79439c06b33414e1e26b3aa4b93a72fd7cbbae83
|
[
"MIT"
] | 25
|
2021-05-19T08:05:07.000Z
|
2022-03-14T02:48:58.000Z
|
tests/file_utils.py
|
adisbladis/geostore
|
79439c06b33414e1e26b3aa4b93a72fd7cbbae83
|
[
"MIT"
] | 311
|
2021-05-17T23:04:56.000Z
|
2022-03-31T10:41:44.000Z
|
tests/file_utils.py
|
adisbladis/geostore
|
79439c06b33414e1e26b3aa4b93a72fd7cbbae83
|
[
"MIT"
] | 1
|
2022-01-03T05:38:32.000Z
|
2022-01-03T05:38:32.000Z
|
from io import BytesIO
from json import dumps
from typing import BinaryIO
from geostore.types import JsonObject
def json_dict_to_file_object(value: JsonObject) -> BinaryIO:
return BytesIO(initial_bytes=dumps(value).encode())
| 23.2
| 60
| 0.806034
| 33
| 232
| 5.515152
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12931
| 232
| 9
| 61
| 25.777778
| 0.90099
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.666667
| 0.166667
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
dc29868ee436a568bf5e6be9e8eb25b0d805bbf6
| 1,916
|
py
|
Python
|
tests/test_defi.py
|
yuyasugano/brownie-test
|
6a9b00164e53a88b507c810e135d5b5bce84e9f9
|
[
"MIT"
] | 6
|
2021-02-16T02:37:53.000Z
|
2022-01-25T16:39:23.000Z
|
tests/test_defi.py
|
yuyasugano/brownie-test
|
6a9b00164e53a88b507c810e135d5b5bce84e9f9
|
[
"MIT"
] | null | null | null |
tests/test_defi.py
|
yuyasugano/brownie-test
|
6a9b00164e53a88b507c810e135d5b5bce84e9f9
|
[
"MIT"
] | 1
|
2021-02-06T21:37:19.000Z
|
2021-02-06T21:37:19.000Z
|
import pytest
import click
configurations = {
'dai': {'token': '0x6b175474e89094c44da98b954eedeac495271d0f', 'whale': '0x70178102AA04C5f0E54315aA958601eC9B7a4E08'},
'usdt': {'token': '0xdac17f958d2ee523a2206206994597c13d831ec7', 'whale': '0x1062a747393198f70f71ec65a582423dba7e5ab3'},
'usdc': {'token': '0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48', 'whale': '0xa191e578a6736167326d05c119ce0c90849e84b7'},
'eth': {'token': '0xc02aaa39b223fe8d0a0e5c4f27ead9083c756cc2', 'whale': '0x2f0b23f53734252bda2277357e97e1517d6b042a'},
'yfi': {'token': '0x0bc529c00C6401aEF6D220BE8C6Ea1667F6Ad93e', 'whale': '0xba37b002abafdd8e89a1995da52740bbc013d992'},
'link': {'token': '0x514910771AF9Ca656af840dff83E8264EcF986CA', 'whale': '0x98c63b7b319dfbdf3d811530f2ab9dfe4983af9d'},
'snx': {'token': '0xC011a73ee8576Fb46F5E1c5751cA3B9Fe0af2a6F', 'whale': '0xb671f2210b1f6621a2607ea63e6b2dc3e2464d1f'},
'aave': {'token': '0x7Fc66500c84A76Ad7e9c93437bFc5Ac33E2DDaE9', 'whale': '0x25f2226b597e8f9514b3f68f00f494cf4f286491'},
}
@pytest.fixture(scope='function', autouse=True)
def isolation(fn_isolation):
pass
@pytest.mark.parametrize('config', configurations)
def test_defi(chain, accounts, interface, config):
whales = accounts.at(configurations[config]['whale'], force=True)
tokens = interface.ERC20(configurations[config]['token'], owner=whales)
uniswap = interface.UniswapRouter('0x7a250d5630B4cF539739dF2C5dAcb4c659F2488D', owner=whales)
factory = interface.UniswapFactory('0x5C69bEe701ef814a2B6a3EDD4B1652CB9cc5aA6f', owner=whales)
uni = interface.ERC20('0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984', owner=whales)
scale = 10 ** tokens.decimals()
def print_price():
print(
'price', uniswap.getAmountsOut(scale, [tokens, uni])[-1] / 1e8,
'liquidity', tokens.balanceOf(factory.getPair(uni, tokens)) / scale,
)
print_price()
| 56.352941
| 123
| 0.756785
| 128
| 1,916
| 11.296875
| 0.5625
| 0.030429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.296536
| 0.111169
| 1,916
| 33
| 124
| 58.060606
| 0.552554
| 0
| 0
| 0
| 0
| 0
| 0.49295
| 0.41671
| 0
| 0
| 0.41671
| 0
| 0
| 1
| 0.103448
| false
| 0.034483
| 0.068966
| 0
| 0.172414
| 0.103448
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
dc39cedc40e247403ca662a66e76505aa23dc4e7
| 715
|
py
|
Python
|
web/impact/impact/permissions/__init__.py
|
masschallenge/impact-api
|
81075ced8fcc95de9390dd83c15e523e67fc48c0
|
[
"MIT"
] | 5
|
2017-10-19T15:11:52.000Z
|
2020-03-08T07:16:21.000Z
|
web/impact/impact/permissions/__init__.py
|
masschallenge/impact-api
|
81075ced8fcc95de9390dd83c15e523e67fc48c0
|
[
"MIT"
] | 182
|
2017-06-21T19:32:13.000Z
|
2021-03-22T13:38:16.000Z
|
web/impact/impact/permissions/__init__.py
|
masschallenge/impact-api
|
81075ced8fcc95de9390dd83c15e523e67fc48c0
|
[
"MIT"
] | 1
|
2018-06-23T11:53:18.000Z
|
2018-06-23T11:53:18.000Z
|
from django.conf import settings
from rest_framework.permissions import BasePermission
from impact.permissions.permissions_utils import (
global_operations_manager_check)
from impact.permissions.directory_access_permissions import (
DirectoryAccessPermissions,
)
from impact.permissions.v1_confidential_api_permissions import (
V1ConfidentialAPIPermissions,
)
from impact.permissions.v1_api_permissions import (
V1APIPermissions
)
from impact.permissions.v0_api_permissions import (
V0APIPermissions
)
from impact.permissions.dynamic_model_permissions import (
DynamicModelPermissions
)
from impact.permissions.allocate_applications_permissions import (
AllocateApplicationsPermissions
)
| 32.5
| 66
| 0.848951
| 70
| 715
| 8.414286
| 0.442857
| 0.202037
| 0.249576
| 0.078098
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00939
| 0.106294
| 715
| 22
| 67
| 32.5
| 0.912363
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.409091
| 0
| 0.409091
| 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
| 0
| 0
|
0
| 4
|
dc50504c2315928c581dd8176c0dec9b9c77c092
| 20,471
|
py
|
Python
|
ProtParCon/models.py
|
iBiology/ProtParCon
|
ac0a7100a9c52c0412b579728f7a3821a9f074fc
|
[
"MIT"
] | 3
|
2019-09-03T03:01:38.000Z
|
2022-02-24T16:21:29.000Z
|
ProtParCon/models.py
|
iBiology/ProtParCon
|
ac0a7100a9c52c0412b579728f7a3821a9f074fc
|
[
"MIT"
] | 4
|
2019-03-21T05:24:33.000Z
|
2021-10-11T13:44:31.000Z
|
ProtParCon/models.py
|
iBiology/ProtParCon
|
ac0a7100a9c52c0412b579728f7a3821a9f074fc
|
[
"MIT"
] | 1
|
2019-03-12T02:54:10.000Z
|
2019-03-12T02:54:10.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
12 empirical models of protein evolution adopted from
`PAML 4.9e <http://abacus.gene.ucl.ac.uk/software/paml.html>`_:
"""
cprev10 = """
105
227 357
175 43 4435
669 823 538 10
157 1745 768 400 10
499 152 1055 3691 10 3122
665 243 653 431 303 133 379
66 715 1405 331 441 1269 162 19
145 136 168 10 280 92 148 40 29
197 203 113 10 396 286 82 20 66 1745
236 4482 2430 412 48 3313 2629 263 305 345 218
185 125 61 47 159 202 113 21 10 1772 1351 193
68 53 97 22 726 10 145 25 127 454 1268 72 327
490 87 173 170 285 323 185 28 152 117 219 302 100 43
2440 385 2085 590 2331 396 568 691 303 216 516 868 93 487 1202
1340 314 1393 266 576 241 369 92 32 1040 156 918 645 148 260 2151
14 230 40 18 435 53 63 82 69 42 159 10 86 468 49 73 29
56 323 754 281 1466 391 142 10 1971 89 189 247 215 2370 97 522 71 346
968 92 83 75 592 54 200 91 25 4797 865 249 475 317 122 167 760 10 119
0.0755 0.0621 0.0410 0.0371 0.0091 0.0382 0.0495 0.0838 0.0246 0.0806 0.1011 0.0504 0.0220 0.0506 0.0431 0.0622 0.0543 0.0181 0.0307 0.0660
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
cprev64 = """
6.5
4.5 10.6
84.3 9.5 643.2
19.5 353.7 10.9 10.7
6.1 486.3 18.0 11.6 0.1
74.5 21.5 13.0 437.4 0.1 342.6
118.1 183.9 17.4 150.3 86.8 7.1 161.9
2.8 346.6 345.3 202.4 111.8 450.1 6.2 2.2
1.5 50.6 25.6 5.6 3.4 3.6 4.3 2.5 8.4
3.9 36.9 2.4 5.9 20.3 26.1 5.1 3.4 17.3 205.0
4.2 712.1 639.2 10.1 0.1 500.5 426.6 29.3 9.2 37.9 10.8
13.4 53.5 9.9 3.8 10.5 9.5 9.6 3.8 3.6 534.9 142.8 83.6
4.3 5.0 8.7 7.5 238.0 2.4 7.7 3.1 11.0 61.0 542.3 9.4 3.8
91.2 69.0 3.5 13.4 6.5 145.6 8.1 2.6 133.9 2.1 155.8 21.2 10.5 12.6
251.1 82.9 271.4 34.8 471.9 10.7 16.4 136.7 19.2 36.2 160.3 23.9 6.2 249.4 348.6
467.5 82.5 215.5 8.0 7.4 5.4 11.6 6.3 3.8 266.2 10.7 140.2 295.2 3.6 181.2 144.8
3.4 171.8 6.1 3.5 518.6 17.0 9.1 49.0 5.7 3.3 98.8 2.3 11.1 34.1 1.1 56.3 1.5
2.2 4.3 69.9 202.9 579.1 9.4 9.1 2.1 889.2 10.8 9.6 20.1 3.4 255.9 5.6 264.3 3.3 21.7
363.2 8.4 1.6 10.3 37.8 5.1 21.6 76.0 1.1 595.0 155.8 9.2 191.9 102.2 7.7 10.1 36.8 5.0 7.2
0.061007 0.060799 0.043028 0.038515 0.011297 0.035406 0.050764 0.073749 0.024609 0.085629 0.106930 0.046704 0.023382 0.056136 0.043289 0.073994 0.052078 0.018023 0.036043 0.058620
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
dayhoff = """
27
98 32
120 0 905
36 23 0 0
89 246 103 134 0
198 1 148 1153 0 716
240 9 139 125 11 28 81
23 240 535 86 28 606 43 10
65 64 77 24 44 18 61 0 7
41 15 34 0 0 73 11 7 44 257
26 464 318 71 0 153 83 27 26 46 18
72 90 1 0 0 114 30 17 0 336 527 243
18 14 14 0 0 0 0 15 48 196 157 0 92
250 103 42 13 19 153 51 34 94 12 32 33 17 11
409 154 495 95 161 56 79 234 35 24 17 96 62 46 245
371 26 229 66 16 53 34 30 22 192 33 136 104 13 78 550
0 201 23 0 0 0 0 0 27 0 46 0 0 76 0 75 0
24 8 95 0 96 0 22 0 127 37 28 13 0 698 0 34 42 61
208 24 15 18 49 35 37 54 44 889 175 10 258 12 48 30 157 0 28
0.087127 0.040904 0.040432 0.046872 0.033474 0.038255 0.049530 0.088612 0.033618 0.036886 0.085357 0.080482 0.014753 0.039772 0.050680 0.069577 0.058542 0.010494 0.029916 0.064718
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
dayhoff_dcmut = """
"""
jones_dcmut = """
0.531678
0.557967 0.451095
0.827445 0.154899 5.549530
0.574478 1.019843 0.313311 0.105625
0.556725 3.021995 0.768834 0.521646 0.091304
1.066681 0.318483 0.578115 7.766557 0.053907 3.417706
1.740159 1.359652 0.773313 1.272434 0.546389 0.231294 1.115632
0.219970 3.210671 4.025778 1.032342 0.724998 5.684080 0.243768 0.201696
0.361684 0.239195 0.491003 0.115968 0.150559 0.078270 0.111773 0.053769 0.181788
0.310007 0.372261 0.137289 0.061486 0.164593 0.709004 0.097485 0.069492 0.540571 2.335139
0.369437 6.529255 2.529517 0.282466 0.049009 2.966732 1.731684 0.269840 0.525096 0.202562 0.146481
0.469395 0.431045 0.330720 0.190001 0.409202 0.456901 0.175084 0.130379 0.329660 4.831666 3.856906 0.624581
0.138293 0.065314 0.073481 0.032522 0.678335 0.045683 0.043829 0.050212 0.453428 0.777090 2.500294 0.024521 0.436181
1.959599 0.710489 0.121804 0.127164 0.123653 1.608126 0.191994 0.208081 1.141961 0.098580 1.060504 0.216345 0.164215 0.148483
3.887095 1.001551 5.057964 0.589268 2.155331 0.548807 0.312449 1.874296 0.743458 0.405119 0.592511 0.474478 0.285564 0.943971 2.788406
4.582565 0.650282 2.351311 0.425159 0.469823 0.523825 0.331584 0.316862 0.477355 2.553806 0.272514 0.965641 2.114728 0.138904 1.176961 4.777647
0.084329 1.257961 0.027700 0.057466 1.104181 0.172206 0.114381 0.544180 0.128193 0.134510 0.530324 0.089134 0.201334 0.537922 0.069965 0.310927 0.080556
0.139492 0.235601 0.700693 0.453952 2.114852 0.254745 0.063452 0.052500 5.848400 0.303445 0.241094 0.087904 0.189870 5.484236 0.113850 0.628608 0.201094 0.747889
2.924161 0.171995 0.164525 0.315261 0.621323 0.179771 0.465271 0.470140 0.121827 9.533943 1.761439 0.124066 3.038533 0.593478 0.211561 0.408532 1.143980 0.239697 0.165473
0.076862 0.051057 0.042546 0.051269 0.020279 0.041061 0.061820 0.074714 0.022983 0.052569 0.091111 0.059498 0.023414 0.040530 0.050532 0.068225 0.058518 0.014336 0.032303 0.066374
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
jones = """
58
54 45
81 16 528
56 113 34 10
57 310 86 49 9
105 29 58 767 5 323
179 137 81 130 59 26 119
27 328 391 112 69 597 26 23
36 22 47 11 17 9 12 6 16
30 38 12 7 23 72 9 6 56 229
35 646 263 26 7 292 181 27 45 21 14
54 44 30 15 31 43 18 14 33 479 388 65
15 5 10 4 78 4 5 5 40 89 248 4 43
194 74 15 15 14 164 18 24 115 10 102 21 16 17
378 101 503 59 223 53 30 201 73 40 59 47 29 92 285
475 64 232 38 42 51 32 33 46 245 25 103 226 12 118 477
9 126 8 4 115 18 10 55 8 9 52 10 24 53 6 35 12
11 20 70 46 209 24 7 8 573 32 24 8 18 536 10 63 21 71
298 17 16 31 62 20 45 47 11 961 180 14 323 62 23 38 112 25 16
0.076748 0.051691 0.042645 0.051544 0.019803 0.040752 0.061830 0.073152 0.022944 0.053761 0.091904 0.058676 0.023826 0.040126 0.050901 0.068765 0.058565 0.014261 0.032102 0.066005
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
0.98754 0.00030 0.00023 0.00042 0.00011 0.00023 0.00065 0.00130 0.00006 0.00020 0.00028 0.00021 0.00013 0.00006 0.00098 0.00257 0.00275 0.00001 0.00003 0.00194
0.00044 0.98974 0.00019 0.00008 0.00022 0.00125 0.00018 0.00099 0.00075 0.00012 0.00035 0.00376 0.00010 0.00002 0.00037 0.00069 0.00037 0.00018 0.00006 0.00012
0.00042 0.00023 0.98720 0.00269 0.00007 0.00035 0.00036 0.00059 0.00089 0.00025 0.00011 0.00153 0.00007 0.00004 0.00008 0.00342 0.00135 0.00001 0.00022 0.00011
0.00062 0.00008 0.00223 0.98954 0.00002 0.00020 0.00470 0.00095 0.00025 0.00006 0.00006 0.00015 0.00004 0.00002 0.00008 0.00041 0.00023 0.00001 0.00015 0.00020
0.00043 0.00058 0.00015 0.00005 0.99432 0.00004 0.00003 0.00043 0.00016 0.00009 0.00021 0.00004 0.00007 0.00031 0.00007 0.00152 0.00025 0.00016 0.00067 0.00041
0.00044 0.00159 0.00037 0.00025 0.00002 0.98955 0.00198 0.00019 0.00136 0.00005 0.00066 0.00170 0.00010 0.00002 0.00083 0.00037 0.00030 0.00003 0.00008 0.00013
0.00080 0.00015 0.00025 0.00392 0.00001 0.00130 0.99055 0.00087 0.00006 0.00006 0.00009 0.00105 0.00004 0.00002 0.00009 0.00021 0.00019 0.00001 0.00002 0.00029
0.00136 0.00070 0.00035 0.00067 0.00012 0.00011 0.00074 0.99350 0.00005 0.00003 0.00006 0.00016 0.00003 0.00002 0.00013 0.00137 0.00020 0.00008 0.00003 0.00031
0.00021 0.00168 0.00165 0.00057 0.00014 0.00241 0.00016 0.00017 0.98864 0.00009 0.00051 0.00027 0.00008 0.00016 0.00058 0.00050 0.00027 0.00001 0.00182 0.00008
0.00029 0.00011 0.00020 0.00006 0.00003 0.00004 0.00007 0.00004 0.00004 0.98729 0.00209 0.00012 0.00113 0.00035 0.00005 0.00027 0.00142 0.00001 0.00010 0.00627
0.00023 0.00019 0.00005 0.00004 0.00005 0.00029 0.00006 0.00005 0.00013 0.00122 0.99330 0.00008 0.00092 0.00099 0.00052 0.00040 0.00015 0.00007 0.00008 0.00118
0.00027 0.00331 0.00111 0.00014 0.00001 0.00118 0.00111 0.00020 0.00011 0.00011 0.00013 0.99100 0.00015 0.00002 0.00011 0.00032 0.00060 0.00001 0.00003 0.00009
0.00042 0.00023 0.00013 0.00008 0.00006 0.00018 0.00011 0.00011 0.00007 0.00255 0.00354 0.00038 0.98818 0.00017 0.00008 0.00020 0.00131 0.00003 0.00006 0.00212
0.00011 0.00003 0.00004 0.00002 0.00015 0.00002 0.00003 0.00004 0.00009 0.00047 0.00227 0.00002 0.00010 0.99360 0.00009 0.00063 0.00007 0.00008 0.00171 0.00041
0.00148 0.00038 0.00007 0.00008 0.00003 0.00067 0.00011 0.00018 0.00026 0.00006 0.00093 0.00012 0.00004 0.00007 0.99270 0.00194 0.00069 0.00001 0.00003 0.00015
0.00287 0.00052 0.00212 0.00031 0.00044 0.00022 0.00018 0.00146 0.00017 0.00021 0.00054 0.00027 0.00007 0.00037 0.00144 0.98556 0.00276 0.00005 0.00020 0.00025
0.00360 0.00033 0.00098 0.00020 0.00008 0.00021 0.00020 0.00024 0.00011 0.00131 0.00024 0.00060 0.00053 0.00005 0.00060 0.00324 0.98665 0.00002 0.00007 0.00074
0.00007 0.00065 0.00003 0.00002 0.00023 0.00008 0.00006 0.00040 0.00002 0.00005 0.00048 0.00006 0.00006 0.00021 0.00003 0.00024 0.00007 0.99686 0.00023 0.00017
0.00008 0.00010 0.00030 0.00024 0.00041 0.00010 0.00004 0.00006 0.00130 0.00017 0.00022 0.00005 0.00004 0.00214 0.00005 0.00043 0.00012 0.00010 0.99392 0.00011
0.00226 0.00009 0.00007 0.00016 0.00012 0.00008 0.00027 0.00034 0.00003 0.00511 0.00165 0.00008 0.00076 0.00025 0.00012 0.00026 0.00066 0.00004 0.00005 0.98761
"""
lg = """
0.425093
0.276818 0.751878
0.395144 0.123954 5.076149
2.489084 0.534551 0.528768 0.062556
0.969894 2.807908 1.695752 0.523386 0.084808
1.038545 0.363970 0.541712 5.243870 0.003499 4.128591
2.066040 0.390192 1.437645 0.844926 0.569265 0.267959 0.348847
0.358858 2.426601 4.509238 0.927114 0.640543 4.813505 0.423881 0.311484
0.149830 0.126991 0.191503 0.010690 0.320627 0.072854 0.044265 0.008705 0.108882
0.395337 0.301848 0.068427 0.015076 0.594007 0.582457 0.069673 0.044261 0.366317 4.145067
0.536518 6.326067 2.145078 0.282959 0.013266 3.234294 1.807177 0.296636 0.697264 0.159069 0.137500
1.124035 0.484133 0.371004 0.025548 0.893680 1.672569 0.173735 0.139538 0.442472 4.273607 6.312358 0.656604
0.253701 0.052722 0.089525 0.017416 1.105251 0.035855 0.018811 0.089586 0.682139 1.112727 2.592692 0.023918 1.798853
1.177651 0.332533 0.161787 0.394456 0.075382 0.624294 0.419409 0.196961 0.508851 0.078281 0.249060 0.390322 0.099849 0.094464
4.727182 0.858151 4.008358 1.240275 2.784478 1.223828 0.611973 1.739990 0.990012 0.064105 0.182287 0.748683 0.346960 0.361819 1.338132
2.139501 0.578987 2.000679 0.425860 1.143480 1.080136 0.604545 0.129836 0.584262 1.033739 0.302936 1.136863 2.020366 0.165001 0.571468 6.472279
0.180717 0.593607 0.045376 0.029890 0.670128 0.236199 0.077852 0.268491 0.597054 0.111660 0.619632 0.049906 0.696175 2.457121 0.095131 0.248862 0.140825
0.218959 0.314440 0.612025 0.135107 1.165532 0.257336 0.120037 0.054679 5.306834 0.232523 0.299648 0.131932 0.481306 7.803902 0.089613 0.400547 0.245841 3.151815
2.547870 0.170887 0.083688 0.037967 1.959291 0.210332 0.245034 0.076701 0.119013 10.649107 1.702745 0.185202 1.898718 0.654683 0.296501 0.098369 2.188158 0.189510 0.249313
0.079066 0.055941 0.041977 0.053052 0.012937 0.040767 0.071586 0.057337 0.022355 0.062157 0.099081 0.064600 0.022951 0.042302 0.044040 0.061197 0.053287 0.012066 0.034155 0.069147
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
mtart = """
0.2
0.2 0.2
1 4 500
254 36 98 11
0.2 154 262 0.2 0.2
0.2 0.2 183 862 0.2 262
200 0.2 121 12 81 3 44
0.2 41 180 0.2 12 314 15 0.2
26 2 21 7 63 11 7 3 0.2
4 2 13 1 79 16 2 1 6 515
0.2 209 467 2 0.2 349 106 0.2 0.2 3 4
121 5 79 0.2 312 67 0.2 56 0.2 515 885 106
13 5 20 0.2 184 0.2 0.2 1 14 118 263 11 322
49 0.2 17 0.2 0.2 39 8 0.2 1 0.2 12 17 5 15
673 3 398 44 664 52 31 226 11 7 8 144 112 36 87
244 0.2 166 0.2 183 44 43 0.2 19 204 48 70 289 14 47 660
0.2 0.2 8 0.2 22 7 11 2 0.2 0.2 21 16 71 54 0.2 2 0.2
1 4 251 0.2 72 87 8 9 191 12 20 117 71 792 18 30 46 38
340 0.2 23 0.2 350 0.2 14 3 0.2 1855 85 26 281 52 32 61 544 0.2 2
0.054116 0.018227 0.039903 0.020160 0.009709 0.018781 0.024289 0.068183 0.024518 0.092638 0.148658 0.021718 0.061453 0.088668 0.041826 0.091030 0.049194 0.029786 0.039443 0.057700
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
mtmam = """
32
2 4
11 0 864
0 186 0 0
0 246 8 49 0
0 0 0 569 0 274
78 18 47 79 0 0 22
8 232 458 11 305 550 22 0
75 0 19 0 41 0 0 0 0
21 6 0 0 27 20 0 0 26 232
0 50 408 0 0 242 215 0 0 6 4
76 0 21 0 0 22 0 0 0 378 609 59
0 0 6 5 7 0 0 0 0 57 246 0 11
53 9 33 2 0 51 0 0 53 5 43 18 0 17
342 3 446 16 347 30 21 112 20 0 74 65 47 90 202
681 0 110 0 114 0 4 0 1 360 34 50 691 8 78 614
5 16 6 0 65 0 0 0 0 0 12 0 13 0 7 17 0
0 0 156 0 530 54 0 1 1525 16 25 67 0 682 8 107 0 14
398 0 0 10 0 33 20 5 0 2220 100 0 832 6 0 0 237 0 0
0.0692 0.0184 0.0400 0.0186 0.0065 0.0238 0.0236 0.0557 0.0277 0.0905 0.1675 0.0221 0.0561 0.0611 0.0536 0.0725 0.0870 0.0293 0.0340 0.0428
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
mtrev24 = """
23.18
26.95 13.24
17.67 1.90 794.38
59.93 103.33 58.94 1.90
1.90 220.99 173.56 55.28 75.24
9.77 1.90 63.05 583.55 1.90 313.56
120.71 23.03 53.30 56.77 30.71 6.75 28.28
13.90 165.23 496.13 113.99 141.49 582.40 49.12 1.90
96.49 1.90 27.10 4.34 62.73 8.34 3.31 5.98 12.26
25.46 15.58 15.16 1.90 25.65 39.70 1.90 2.41 11.49 329.09
8.36 141.40 608.70 2.31 1.90 465.58 313.86 22.73 127.67 19.57 14.88
141.88 1.90 65.41 1.90 6.18 47.37 1.90 1.90 11.97 517.98 537.53 91.37
6.37 4.69 15.20 4.98 70.80 19.11 2.67 1.90 48.16 84.67 216.06 6.44 90.82
54.31 23.64 73.31 13.43 31.26 137.29 12.83 1.90 60.97 20.63 40.10 50.10 18.84 17.31
387.86 6.04 494.39 69.02 277.05 54.11 54.71 125.93 77.46 47.70 73.61 105.79 111.16 64.29 169.90
480.72 2.08 238.46 28.01 179.97 94.93 14.82 11.17 44.78 368.43 126.40 136.33 528.17 33.85 128.22 597.21
1.90 21.95 10.68 19.86 33.60 1.90 1.90 10.92 7.08 1.90 32.44 24.00 21.71 7.84 4.21 38.58 9.99
6.48 1.90 191.36 21.21 254.77 38.82 13.12 3.21 670.14 25.01 44.15 51.17 39.96 465.58 16.21 64.92 38.73 26.25
195.06 7.64 1.90 1.90 1.90 19.00 21.14 2.53 1.90 1222.94 91.67 1.90 387.54 6.35 8.23 1.90 204.54 5.37 1.90
0.072 0.019 0.039 0.019 0.006 0.025 0.024 0.056 0.028 0.088 0.169 0.023 0.054 0.061 0.054 0.072 0.086 0.029 0.033 0.043
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
mtzoa = """
3.3
1.7 33.6
16.1 3.2 617.0
272.5 61.1 94.6 9.5
7.3 231.0 190.3 19.3 49.1
17.1 6.4 174.0 883.6 3.4 349.4
289.3 7.2 99.3 26.0 82.4 8.9 43.1
2.3 61.7 228.9 55.6 37.5 421.8 14.9 7.4
33.2 0.2 24.3 1.5 48.8 0.2 7.3 3.4 1.6
15.6 4.1 7.9 0.5 59.7 23.0 1.0 3.5 6.6 425.2
0.2 292.3 413.4 0.2 0.2 334.0 163.2 10.1 23.9 8.4 6.7
136.5 3.8 73.7 0.2 264.8 83.9 0.2 52.2 7.1 449.7 636.3 83.0
26.5 0.2 12.9 2.0 167.8 9.5 0.2 5.8 13.1 90.3 234.2 16.3 215.6
61.8 7.5 22.6 0.2 8.1 52.2 20.6 1.3 15.6 2.6 11.4 24.3 5.4 10.5
644.9 11.8 420.2 51.4 656.3 96.4 38.4 257.1 23.1 7.2 15.2 144.9 95.3 32.2 79.7
378.1 3.2 184.6 2.3 199.0 39.4 34.5 5.2 19.4 222.3 50.0 75.5 305.1 19.3 56.9 666.3
3.1 16.9 6.4 0.2 36.1 6.1 3.5 12.3 4.5 9.7 27.2 6.6 48.7 58.2 1.3 10.3 3.6
2.1 13.8 141.6 13.9 76.7 52.3 10.0 4.3 266.5 13.1 5.7 45.0 41.4 590.5 4.2 29.7 29.0 79.8
321.9 5.1 7.1 3.7 243.8 9.0 16.3 23.7 0.3 1710.6 126.1 11.1 279.6 59.6 17.9 49.5 396.4 13.7 15.6
0.068880 0.021037 0.030390 0.020696 0.009966 0.018623 0.024989 0.071968 0.026814 0.085072 0.156717 0.019276 0.050652 0.081712 0.044803 0.080535 0.056386 0.027998 0.037404 0.066083
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
wag = """
0.551571
0.509848 0.635346
0.738998 0.147304 5.429420
1.027040 0.528191 0.265256 0.0302949
0.908598 3.035500 1.543640 0.616783 0.0988179
1.582850 0.439157 0.947198 6.174160 0.021352 5.469470
1.416720 0.584665 1.125560 0.865584 0.306674 0.330052 0.567717
0.316954 2.137150 3.956290 0.930676 0.248972 4.294110 0.570025 0.249410
0.193335 0.186979 0.554236 0.039437 0.170135 0.113917 0.127395 0.0304501 0.138190
0.397915 0.497671 0.131528 0.0848047 0.384287 0.869489 0.154263 0.0613037 0.499462 3.170970
0.906265 5.351420 3.012010 0.479855 0.0740339 3.894900 2.584430 0.373558 0.890432 0.323832 0.257555
0.893496 0.683162 0.198221 0.103754 0.390482 1.545260 0.315124 0.174100 0.404141 4.257460 4.854020 0.934276
0.210494 0.102711 0.0961621 0.0467304 0.398020 0.0999208 0.0811339 0.049931 0.679371 1.059470 2.115170 0.088836 1.190630
1.438550 0.679489 0.195081 0.423984 0.109404 0.933372 0.682355 0.243570 0.696198 0.0999288 0.415844 0.556896 0.171329 0.161444
3.370790 1.224190 3.974230 1.071760 1.407660 1.028870 0.704939 1.341820 0.740169 0.319440 0.344739 0.967130 0.493905 0.545931 1.613280
2.121110 0.554413 2.030060 0.374866 0.512984 0.857928 0.822765 0.225833 0.473307 1.458160 0.326622 1.386980 1.516120 0.171903 0.795384 4.378020
0.113133 1.163920 0.0719167 0.129767 0.717070 0.215737 0.156557 0.336983 0.262569 0.212483 0.665309 0.137505 0.515706 1.529640 0.139405 0.523742 0.110864
0.240735 0.381533 1.086000 0.325711 0.543833 0.227710 0.196303 0.103604 3.873440 0.420170 0.398618 0.133264 0.428437 6.454280 0.216046 0.786993 0.291148 2.485390
2.006010 0.251849 0.196246 0.152335 1.002140 0.301281 0.588731 0.187247 0.118358 7.821300 1.800340 0.305434 2.058450 0.649892 0.314887 0.232739 1.388230 0.365369 0.314730
0.0866279 0.043972 0.0390894 0.0570451 0.0193078 0.0367281 0.0580589 0.0832518 0.0244313 0.048466 0.086209 0.0620286 0.0195027 0.0384319 0.0457631 0.0695179 0.0610127 0.0143859 0.0352742 0.0708956
A R N D C Q E G H I L K M F P S T W Y V
Ala Arg Asn Asp Cys Gln Glu Gly His Ile Leu Lys Met Phe Pro Ser Thr Trp Tyr Val
"""
models = {'cprev10': cprev10,
'cprev64': cprev64,
'dayhoff': dayhoff,
'dayhoff-dcmut': dayhoff_dcmut,
'jones-dcmut': jones_dcmut,
'jtt': jones,
'jones': jones,
'lg': lg,
'mtart': mtart,
'mtmam': mtmam,
'mtrev24': mtrev24,
'mtzoa': mtzoa,
'wag': wag}
| 55.931694
| 199
| 0.632602
| 5,027
| 20,471
| 2.575094
| 0.284663
| 0.008806
| 0.010274
| 0.003399
| 0.114871
| 0.070143
| 0.069061
| 0.069061
| 0.069061
| 0.069061
| 0
| 0.785882
| 0.270627
| 20,471
| 365
| 200
| 56.084932
| 0.081106
| 0.007816
| 0
| 0.113712
| 0
| 0.377926
| 0.975175
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
dc673fd3214fcfaa9d307ed963db107b460ef0a2
| 532
|
py
|
Python
|
gms/models.py
|
mainaerick/test-gms
|
0e847fa6f40a1b3308f5b66383c3ab61524198fe
|
[
"MIT"
] | null | null | null |
gms/models.py
|
mainaerick/test-gms
|
0e847fa6f40a1b3308f5b66383c3ab61524198fe
|
[
"MIT"
] | null | null | null |
gms/models.py
|
mainaerick/test-gms
|
0e847fa6f40a1b3308f5b66383c3ab61524198fe
|
[
"MIT"
] | null | null | null |
from django.db import models
class Regions(models.Model):
regions_name = models.CharField(max_length=100)
regions_ref = models.CharField(max_length=100)
class Tenants(models.Model):
tenants_name = models.CharField(max_length=100)
tenants_ref = models.CharField(max_length=100)
regionz = models.ManyToManyField(Regions)
class NameSpaces(models.Model):
namespaces_name = models.CharField(max_length=100)
namespaces_ref = models.CharField(max_length=100)
tenantz = models.ManyToManyField(Tenants)
| 28
| 54
| 0.768797
| 67
| 532
| 5.925373
| 0.283582
| 0.2267
| 0.27204
| 0.36272
| 0.460957
| 0.460957
| 0
| 0
| 0
| 0
| 0
| 0.03913
| 0.135338
| 532
| 18
| 55
| 29.555556
| 0.823913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.083333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
dc750afbaee22d94e0bb4bcc9f1f02d7523559a8
| 163
|
py
|
Python
|
airmozilla/cronlogger/cron.py
|
mozilla/airmozilla
|
fa6acbbbacc1e22553457807bcea7ce7a9ef6fe3
|
[
"BSD-3-Clause"
] | 115
|
2015-01-06T18:45:39.000Z
|
2022-02-07T10:56:49.000Z
|
airmozilla/cronlogger/cron.py
|
april/airmozilla
|
ee357f5396cdcb50147c72ff1e81a610f9cb292c
|
[
"BSD-3-Clause"
] | 321
|
2015-01-02T15:19:25.000Z
|
2018-07-05T14:58:50.000Z
|
airmozilla/cronlogger/cron.py
|
april/airmozilla
|
ee357f5396cdcb50147c72ff1e81a610f9cb292c
|
[
"BSD-3-Clause"
] | 101
|
2015-01-13T17:59:15.000Z
|
2020-12-15T02:58:38.000Z
|
import cronjobs
from .decorators import capture
from . import cleanup
@cronjobs.register
@capture
def purge_old_cronlogs():
cleanup.purge_old(verbose=True)
| 14.818182
| 35
| 0.791411
| 21
| 163
| 6
| 0.619048
| 0.126984
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134969
| 163
| 10
| 36
| 16.3
| 0.893617
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| true
| 0
| 0.428571
| 0
| 0.571429
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
dc7a6bf95579dfedbf57efce3f557db2f6f16521
| 147
|
py
|
Python
|
lock2.py
|
utdesign-makerspace/IOT-Lock
|
97ef1ba155b2832c885b7f53c049f3909dee70f7
|
[
"MIT"
] | null | null | null |
lock2.py
|
utdesign-makerspace/IOT-Lock
|
97ef1ba155b2832c885b7f53c049f3909dee70f7
|
[
"MIT"
] | null | null | null |
lock2.py
|
utdesign-makerspace/IOT-Lock
|
97ef1ba155b2832c885b7f53c049f3909dee70f7
|
[
"MIT"
] | null | null | null |
import hid
vid = 0x413d # Change it for your device
pid = 0x2107 # Change it for your device
while True:
print(hid.Device(vid, pid).read(25))
| 21
| 40
| 0.707483
| 25
| 147
| 4.16
| 0.64
| 0.153846
| 0.211538
| 0.288462
| 0.403846
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09322
| 0.197279
| 147
| 7
| 41
| 21
| 0.788136
| 0.346939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12766
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0.2
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f493344c8f40d04f26501955eb5f971812bc8798
| 543
|
py
|
Python
|
src/DbxSync/CodeTransformer/LineTransformer/ImportLine.py
|
DataSentics/dbx-sync
|
841b969d8c76db0fe4ec4b1588c1206f8a1e7492
|
[
"MIT"
] | null | null | null |
src/DbxSync/CodeTransformer/LineTransformer/ImportLine.py
|
DataSentics/dbx-sync
|
841b969d8c76db0fe4ec4b1588c1206f8a1e7492
|
[
"MIT"
] | null | null | null |
src/DbxSync/CodeTransformer/LineTransformer/ImportLine.py
|
DataSentics/dbx-sync
|
841b969d8c76db0fe4ec4b1588c1206f8a1e7492
|
[
"MIT"
] | null | null | null |
class ImportLine:
def __init__(self, fromString: str, importString: str):
self.__from = fromString
self.__import = importString
def getFrom(self) -> str:
return self.__from
def getImport(self) -> str:
return self.__import
def isSame(self, line2: 'ImportLine') -> bool:
return (
line2.getFrom() == self.__from
and line2.getImport() == self.__import
)
def getDebugString(self):
return 'from ' + self.__from + ' import ' + self.__import
| 25.857143
| 65
| 0.589319
| 55
| 543
| 5.454545
| 0.327273
| 0.106667
| 0.086667
| 0.113333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007916
| 0.302026
| 543
| 20
| 66
| 27.15
| 0.783641
| 0
| 0
| 0
| 0
| 0
| 0.042357
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.533333
| 0.266667
| 1.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
f4c7b8ae529d648f9a05ce046c9bd3745c0f6b70
| 2,056
|
py
|
Python
|
exercises/practice/hamming/hamming_test.py
|
samr1ddh1/python-1
|
8998d30bb0d6665dd233354670f21c4d11c2f1a0
|
[
"MIT"
] | 1,177
|
2017-06-21T20:24:06.000Z
|
2022-03-29T02:30:55.000Z
|
exercises/practice/hamming/hamming_test.py
|
samr1ddh1/python-1
|
8998d30bb0d6665dd233354670f21c4d11c2f1a0
|
[
"MIT"
] | 1,890
|
2017-06-18T20:06:10.000Z
|
2022-03-31T18:35:51.000Z
|
exercises/practice/hamming/hamming_test.py
|
samr1ddh1/python-1
|
8998d30bb0d6665dd233354670f21c4d11c2f1a0
|
[
"MIT"
] | 1,095
|
2017-06-26T23:06:19.000Z
|
2022-03-29T03:25:38.000Z
|
import unittest
from hamming import (
distance,
)
# Tests adapted from `problem-specifications//canonical-data.json`
class HammingTest(unittest.TestCase):
def test_empty_strands(self):
self.assertEqual(distance("", ""), 0)
def test_single_letter_identical_strands(self):
self.assertEqual(distance("A", "A"), 0)
def test_single_letter_different_strands(self):
self.assertEqual(distance("G", "T"), 1)
def test_long_identical_strands(self):
self.assertEqual(distance("GGACTGAAATCTG", "GGACTGAAATCTG"), 0)
def test_long_different_strands(self):
self.assertEqual(distance("GGACGGATTCTG", "AGGACGGATTCT"), 9)
def test_disallow_first_strand_longer(self):
with self.assertRaises(ValueError) as err:
distance("AATG", "AAA")
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "Strands must be of equal length.")
def test_disallow_second_strand_longer(self):
with self.assertRaises(ValueError) as err:
distance("ATA", "AGTG")
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "Strands must be of equal length.")
def test_disallow_empty_first_strand(self):
with self.assertRaises(ValueError) as err:
distance("", "G")
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "Strands must be of equal length.")
def test_disallow_right_empty_strand(self):
with self.assertRaises(ValueError) as err:
distance("G", "")
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "Strands must be of equal length.")
def test_disallow_empty_second_strand(self):
with self.assertRaises(ValueError) as err:
distance("G", "")
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "Strands must be of equal length.")
| 34.266667
| 83
| 0.682879
| 244
| 2,056
| 5.606557
| 0.237705
| 0.164474
| 0.054825
| 0.095029
| 0.797515
| 0.743421
| 0.61769
| 0.61769
| 0.61769
| 0.61769
| 0
| 0.006064
| 0.197957
| 2,056
| 59
| 84
| 34.847458
| 0.823529
| 0.031128
| 0
| 0.425
| 0
| 0
| 0.11608
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.25
| false
| 0
| 0.05
| 0
| 0.325
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f4d7e826c19e4b2e37473ab26c8bf11780f27eca
| 105
|
py
|
Python
|
game/common/errors/inventory_full_error.py
|
HagenSR/byte_le_royale_2022
|
d501bf2418337d543dac982112ea924d37164205
|
[
"MIT"
] | 1
|
2022-03-10T01:38:12.000Z
|
2022-03-10T01:38:12.000Z
|
game/common/errors/inventory_full_error.py
|
HagenSR/byte_le_royale_2022
|
d501bf2418337d543dac982112ea924d37164205
|
[
"MIT"
] | 2
|
2022-01-31T18:28:14.000Z
|
2022-01-31T18:28:24.000Z
|
game/common/errors/inventory_full_error.py
|
HagenSR/byte_le_royale_2022
|
d501bf2418337d543dac982112ea924d37164205
|
[
"MIT"
] | null | null | null |
class InventoryFullError(Exception):
"""Exception raised when player inventory is full"""
pass
| 17.5
| 56
| 0.72381
| 11
| 105
| 6.909091
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190476
| 105
| 5
| 57
| 21
| 0.894118
| 0.438095
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
762071bf3757537d822be4df738e095d81f06ace
| 5,423
|
py
|
Python
|
tests/test_volume_u_s_teaspoons.py
|
putridparrot/PyUnits
|
4f1095c6fc0bee6ba936921c391913dbefd9307c
|
[
"MIT"
] | null | null | null |
tests/test_volume_u_s_teaspoons.py
|
putridparrot/PyUnits
|
4f1095c6fc0bee6ba936921c391913dbefd9307c
|
[
"MIT"
] | null | null | null |
tests/test_volume_u_s_teaspoons.py
|
putridparrot/PyUnits
|
4f1095c6fc0bee6ba936921c391913dbefd9307c
|
[
"MIT"
] | null | null | null |
# <auto-generated>
# This code was generated by the UnitCodeGenerator tool
#
# Changes to this file will be lost if the code is regenerated
# </auto-generated>
import unittest
import units.volume.u_s_teaspoons
class TestUSTeaspoonsMethods(unittest.TestCase):
def test_convert_known_u_s_teaspoons_to_millilitres(self):
self.assertAlmostEqual(34.0095, units.volume.u_s_teaspoons.to_millilitres(6.9), places=1)
self.assertAlmostEqual(7.88627, units.volume.u_s_teaspoons.to_millilitres(1.6), places=1)
self.assertAlmostEqual(3943.14, units.volume.u_s_teaspoons.to_millilitres(800.0), places=1)
def test_convert_known_u_s_teaspoons_to_litres(self):
self.assertAlmostEqual(0.0345024, units.volume.u_s_teaspoons.to_litres(7.0), places=1)
self.assertAlmostEqual(0.443603, units.volume.u_s_teaspoons.to_litres(90.0), places=1)
self.assertAlmostEqual(0.2794698, units.volume.u_s_teaspoons.to_litres(56.7), places=1)
def test_convert_known_u_s_teaspoons_to_kilolitres(self):
self.assertAlmostEqual(49.33356028, units.volume.u_s_teaspoons.to_kilolitres(10009000.0), places=1)
self.assertAlmostEqual(6.08508592078, units.volume.u_s_teaspoons.to_kilolitres(1234567.8), places=1)
self.assertAlmostEqual(0.04830342, units.volume.u_s_teaspoons.to_kilolitres(9800.0), places=1)
def test_convert_known_u_s_teaspoons_to_teaspoons(self):
self.assertAlmostEqual(101.586, units.volume.u_s_teaspoons.to_teaspoons(122.0), places=1)
self.assertAlmostEqual(74.27448, units.volume.u_s_teaspoons.to_teaspoons(89.2), places=1)
self.assertAlmostEqual(749.406, units.volume.u_s_teaspoons.to_teaspoons(900.0), places=1)
def test_convert_known_u_s_teaspoons_to_tablespoons(self):
self.assertAlmostEqual(138.779, units.volume.u_s_teaspoons.to_tablespoons(500.0), places=1)
self.assertAlmostEqual(3.425064, units.volume.u_s_teaspoons.to_tablespoons(12.34), places=1)
self.assertAlmostEqual(185.131, units.volume.u_s_teaspoons.to_tablespoons(667.0), places=1)
def test_convert_known_u_s_teaspoons_to_quarts(self):
self.assertAlmostEqual(0.338274, units.volume.u_s_teaspoons.to_quarts(78.0), places=1)
self.assertAlmostEqual(3.9035927, units.volume.u_s_teaspoons.to_quarts(900.1), places=1)
self.assertAlmostEqual(0.50697698, units.volume.u_s_teaspoons.to_quarts(116.9), places=1)
def test_convert_known_u_s_teaspoons_to_pints(self):
self.assertAlmostEqual(1.00615, units.volume.u_s_teaspoons.to_pints(116.0), places=1)
self.assertAlmostEqual(0.5160844, units.volume.u_s_teaspoons.to_pints(59.5), places=1)
self.assertAlmostEqual(16.48, units.volume.u_s_teaspoons.to_pints(1900.0), places=1)
def test_convert_known_u_s_teaspoons_to_gallons(self):
self.assertAlmostEqual(0.215758, units.volume.u_s_teaspoons.to_gallons(199.0), places=1)
self.assertAlmostEqual(13.384583, units.volume.u_s_teaspoons.to_gallons(12345.0), places=1)
self.assertAlmostEqual(97.580059, units.volume.u_s_teaspoons.to_gallons(90001.0), places=1)
def test_convert_known_u_s_teaspoons_to_fluid_ounces(self):
self.assertAlmostEqual(21.3373, units.volume.u_s_teaspoons.to_fluid_ounces(123.0), places=1)
self.assertAlmostEqual(15.4392, units.volume.u_s_teaspoons.to_fluid_ounces(89.0), places=1)
self.assertAlmostEqual(175.035, units.volume.u_s_teaspoons.to_fluid_ounces(1009.0), places=1)
def test_convert_known_u_s_teaspoons_to_u_s_tablespoons(self):
self.assertAlmostEqual(63.3333, units.volume.u_s_teaspoons.to_u_s_tablespoons(190.0), places=1)
self.assertAlmostEqual(1.86667, units.volume.u_s_teaspoons.to_u_s_tablespoons(5.6), places=1)
self.assertAlmostEqual(0.233333, units.volume.u_s_teaspoons.to_u_s_tablespoons(0.7), places=1)
def test_convert_known_u_s_teaspoons_to_u_s_quarts(self):
self.assertAlmostEqual(0.5229165, units.volume.u_s_teaspoons.to_u_s_quarts(100.4), places=1)
self.assertAlmostEqual(46.87498, units.volume.u_s_teaspoons.to_u_s_quarts(9000.0), places=1)
self.assertAlmostEqual(6.427081, units.volume.u_s_teaspoons.to_u_s_quarts(1234.0), places=1)
def test_convert_known_u_s_teaspoons_to_u_s_pints(self):
self.assertAlmostEqual(1.13542, units.volume.u_s_teaspoons.to_u_s_pints(109.0), places=1)
self.assertAlmostEqual(35.41666, units.volume.u_s_teaspoons.to_u_s_pints(3400.0), places=1)
self.assertAlmostEqual(0.1114583, units.volume.u_s_teaspoons.to_u_s_pints(10.7), places=1)
def test_convert_known_u_s_teaspoons_to_u_s_gallons(self):
self.assertAlmostEqual(0.141927, units.volume.u_s_teaspoons.to_u_s_gallons(109.0), places=1)
self.assertAlmostEqual(12.85937, units.volume.u_s_teaspoons.to_u_s_gallons(9876.0), places=1)
self.assertAlmostEqual(14.192704, units.volume.u_s_teaspoons.to_u_s_gallons(10900.0), places=1)
def test_convert_known_u_s_teaspoons_to_u_s_fluid_ounces(self):
self.assertAlmostEqual(30.0, units.volume.u_s_teaspoons.to_u_s_fluid_ounces(180.0), places=1)
self.assertAlmostEqual(0.933333, units.volume.u_s_teaspoons.to_u_s_fluid_ounces(5.6), places=1)
self.assertAlmostEqual(150.08328, units.volume.u_s_teaspoons.to_u_s_fluid_ounces(900.5), places=1)
def test_convert_known_u_s_teaspoons_to_u_s_cups(self):
self.assertAlmostEqual(1.875, units.volume.u_s_teaspoons.to_u_s_cups(90.0), places=1)
self.assertAlmostEqual(93.7666363, units.volume.u_s_teaspoons.to_u_s_cups(4500.8), places=1)
self.assertAlmostEqual(0.01875, units.volume.u_s_teaspoons.to_u_s_cups(0.9), places=1)
if __name__ == '__main__':
unittest.main()
| 60.932584
| 102
| 0.818182
| 922
| 5,423
| 4.480477
| 0.165944
| 0.041152
| 0.16243
| 0.188816
| 0.768579
| 0.634229
| 0.513677
| 0.319051
| 0.283224
| 0.164851
| 0
| 0.106028
| 0.060852
| 5,423
| 88
| 103
| 61.625
| 0.705085
| 0.027476
| 0
| 0
| 1
| 0
| 0.001519
| 0
| 0
| 0
| 0
| 0
| 0.692308
| 1
| 0.230769
| false
| 0
| 0.030769
| 0
| 0.276923
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5203d323f6f6037f7e6f333cf230c714ae4333ca
| 202
|
py
|
Python
|
qt/Exeggcutor.py
|
Mozta/twelve
|
64e8612ac7a85ab52e2bcc33ffd468a3f462d1c2
|
[
"MIT"
] | null | null | null |
qt/Exeggcutor.py
|
Mozta/twelve
|
64e8612ac7a85ab52e2bcc33ffd468a3f462d1c2
|
[
"MIT"
] | 1
|
2021-04-20T16:45:06.000Z
|
2021-04-20T16:45:06.000Z
|
qt/Exeggcutor.py
|
Mozta/twelve
|
64e8612ac7a85ab52e2bcc33ffd468a3f462d1c2
|
[
"MIT"
] | null | null | null |
import os
import time
from time import gmtime
print("exeggcutando")
time.sleep(60)
print("exeggcutado")
os.system("sudo python3 /home/pi/Documents/Twelve/twelve/qt/twelveneu.py")
print("exeggcumuerto")
| 22.444444
| 74
| 0.787129
| 29
| 202
| 5.482759
| 0.724138
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016043
| 0.074257
| 202
| 8
| 75
| 25.25
| 0.834225
| 0
| 0
| 0
| 0
| 0
| 0.480198
| 0.237624
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.375
| 0
| 0.375
| 0.375
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
520ba59a2e671fb85abd2c9a326e1587dab28a87
| 100
|
py
|
Python
|
expansions/__init__.py
|
mmsbrggr/polar
|
34348baf6992232e47cee7a4d56b5a96567c50b8
|
[
"MIT"
] | 2
|
2021-10-06T13:29:24.000Z
|
2021-11-11T19:42:43.000Z
|
expansions/__init__.py
|
mmsbrggr/polar
|
34348baf6992232e47cee7a4d56b5a96567c50b8
|
[
"MIT"
] | 1
|
2022-01-26T15:58:28.000Z
|
2022-01-28T13:47:28.000Z
|
expansions/__init__.py
|
mmsbrggr/polar
|
34348baf6992232e47cee7a4d56b5a96567c50b8
|
[
"MIT"
] | 2
|
2021-10-01T15:08:52.000Z
|
2022-03-15T14:10:06.000Z
|
from .gram_charlier import GramCharlierExpansion
from .cornish_fisher import CornishFisherExpansion
| 33.333333
| 50
| 0.9
| 10
| 100
| 8.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 100
| 2
| 51
| 50
| 0.956522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
520e0746caf79accafd6fdc104ab1989d07566cc
| 181
|
py
|
Python
|
python_demopackaging/python_demopackaging.py
|
sivakumar105/Python-DemoPackaging
|
fca6cc23fd13bd6129d51996fb76137aeb370137
|
[
"MIT"
] | null | null | null |
python_demopackaging/python_demopackaging.py
|
sivakumar105/Python-DemoPackaging
|
fca6cc23fd13bd6129d51996fb76137aeb370137
|
[
"MIT"
] | null | null | null |
python_demopackaging/python_demopackaging.py
|
sivakumar105/Python-DemoPackaging
|
fca6cc23fd13bd6129d51996fb76137aeb370137
|
[
"MIT"
] | null | null | null |
from __future__ import print_function
def hello():
""" Returns a Hello World"""
return("Hello, World!")
def say_hello():
""" Prints Hello World"""
print(hello())
| 16.454545
| 37
| 0.629834
| 22
| 181
| 4.909091
| 0.590909
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.21547
| 181
| 10
| 38
| 18.1
| 0.760563
| 0.220994
| 0
| 0
| 0
| 0
| 0.101563
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| true
| 0
| 0.2
| 0
| 0.6
| 0.4
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5231e42b4408d34c1c6c1edfa501709657bf01a8
| 2,249
|
py
|
Python
|
skyportal/tests/api/test_photometry.py
|
sehgalvibhor/skyportal
|
9513d08d95c81c493643876b4b310007015afcd7
|
[
"BSD-3-Clause"
] | null | null | null |
skyportal/tests/api/test_photometry.py
|
sehgalvibhor/skyportal
|
9513d08d95c81c493643876b4b310007015afcd7
|
[
"BSD-3-Clause"
] | null | null | null |
skyportal/tests/api/test_photometry.py
|
sehgalvibhor/skyportal
|
9513d08d95c81c493643876b4b310007015afcd7
|
[
"BSD-3-Clause"
] | null | null | null |
import datetime
from skyportal.tests import api
def test_token_user_post_photometry_data(upload_data_token, public_source):
status, data = api('POST', 'photometry',
data={'sourceID': str(public_source.id),
'obsTime': str(datetime.datetime.now()),
'timeFormat': 'iso',
'timeScale': 'utc',
'instrumentID': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
def test_token_user_post_photometry_data_series(upload_data_token, public_source):
status, data = api(
'POST',
'photometry',
data={'sourceID': str(public_source.id),
'obsTime': [str(datetime.datetime.now()),
str(datetime.datetime.now() + datetime.timedelta(days=1)),
str(datetime.datetime.now() + datetime.timedelta(days=2))],
'timeFormat': 'iso',
'timeScale': 'utc',
'instrumentID': 1,
'mag': [12.24, 12.52, 12.70],
'e_mag': [0.031, 0.029, 0.030],
'lim_mag': 14.1,
'filter': 'V'},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
def test_photometry_no_access_token(view_only_token, public_source):
status, data = api('POST', 'photometry',
data={'sourceID': str(public_source.id),
'obsTime': str(datetime.datetime.now()),
'timeFormat': 'iso',
'timeScale': 'utc',
'instrumentID': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=view_only_token)
assert status == 400
assert data['status'] == 'error'
| 38.775862
| 85
| 0.444197
| 205
| 2,249
| 4.682927
| 0.268293
| 0.075
| 0.09375
| 0.114583
| 0.840625
| 0.840625
| 0.840625
| 0.6875
| 0.6875
| 0.640625
| 0
| 0.049065
| 0.42908
| 2,249
| 57
| 86
| 39.45614
| 0.698598
| 0
| 0
| 0.62
| 0
| 0
| 0.133837
| 0
| 0
| 0
| 0
| 0
| 0.12
| 1
| 0.06
| false
| 0
| 0.04
| 0
| 0.1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
523eaa5f093595d805fcd5035754117651f9961f
| 82
|
py
|
Python
|
tests/conftest.py
|
grunde73/flycastsim
|
dff5d0c7a80909e0646a14ecf281de9693fc0af9
|
[
"BSD-2-Clause"
] | null | null | null |
tests/conftest.py
|
grunde73/flycastsim
|
dff5d0c7a80909e0646a14ecf281de9693fc0af9
|
[
"BSD-2-Clause"
] | null | null | null |
tests/conftest.py
|
grunde73/flycastsim
|
dff5d0c7a80909e0646a14ecf281de9693fc0af9
|
[
"BSD-2-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Fixtures for testing flycast package
"""
import pytest
| 16.4
| 39
| 0.658537
| 10
| 82
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0.158537
| 82
| 4
| 40
| 20.5
| 0.768116
| 0.719512
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
524ddce69bc8db5542b22240157090310fe83705
| 96
|
py
|
Python
|
africa-2010/qualifications/b-reverse-words/script.py
|
iamFIREcracker/google-code-jam
|
132dae9191ce6de81de7dad9ef221f119802166c
|
[
"MIT"
] | null | null | null |
africa-2010/qualifications/b-reverse-words/script.py
|
iamFIREcracker/google-code-jam
|
132dae9191ce6de81de7dad9ef221f119802166c
|
[
"MIT"
] | null | null | null |
africa-2010/qualifications/b-reverse-words/script.py
|
iamFIREcracker/google-code-jam
|
132dae9191ce6de81de7dad9ef221f119802166c
|
[
"MIT"
] | null | null | null |
for i in xrange(input()):
print 'Case #%d: %s' % (i + 1, ' '.join(raw_input().split()[::-1]))
| 32
| 69
| 0.510417
| 16
| 96
| 3
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025
| 0.166667
| 96
| 2
| 70
| 48
| 0.575
| 0
| 0
| 0
| 0
| 0
| 0.135417
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
526488da595829085c58a4298cba02a7b1c75ac0
| 45
|
py
|
Python
|
train_test.py
|
kse0202/neural-fonts-test
|
c3e2ef24a10b386c67f6f0e398aa36372658a351
|
[
"MIT"
] | null | null | null |
train_test.py
|
kse0202/neural-fonts-test
|
c3e2ef24a10b386c67f6f0e398aa36372658a351
|
[
"MIT"
] | null | null | null |
train_test.py
|
kse0202/neural-fonts-test
|
c3e2ef24a10b386c67f6f0e398aa36372658a351
|
[
"MIT"
] | null | null | null |
if __name__ == '__main__':
tf.app.run()
| 11.25
| 26
| 0.577778
| 6
| 45
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 45
| 3
| 27
| 15
| 0.514286
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
52721589a6059d11e5a246481ac8e91f9622132e
| 22
|
py
|
Python
|
aliyun-python-sdk-domain/aliyunsdkdomain/__init__.py
|
leafcoder/aliyun-openapi-python-sdk
|
26b441ab37a5cda804de475fd5284bab699443f1
|
[
"Apache-2.0"
] | null | null | null |
aliyun-python-sdk-domain/aliyunsdkdomain/__init__.py
|
leafcoder/aliyun-openapi-python-sdk
|
26b441ab37a5cda804de475fd5284bab699443f1
|
[
"Apache-2.0"
] | null | null | null |
aliyun-python-sdk-domain/aliyunsdkdomain/__init__.py
|
leafcoder/aliyun-openapi-python-sdk
|
26b441ab37a5cda804de475fd5284bab699443f1
|
[
"Apache-2.0"
] | null | null | null |
__version__ = '3.14.5'
| 22
| 22
| 0.681818
| 4
| 22
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0.090909
| 22
| 1
| 22
| 22
| 0.35
| 0
| 0
| 0
| 0
| 0
| 0.26087
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5289e10f79c46a35702ea364218a63c90d8f8b1e
| 67
|
py
|
Python
|
lrthubcore/users/api/__init__.py
|
xrojan/lrthub-core
|
757189942c87f7136fd1f1fee536375d248d8233
|
[
"BSD-3-Clause"
] | null | null | null |
lrthubcore/users/api/__init__.py
|
xrojan/lrthub-core
|
757189942c87f7136fd1f1fee536375d248d8233
|
[
"BSD-3-Clause"
] | null | null | null |
lrthubcore/users/api/__init__.py
|
xrojan/lrthub-core
|
757189942c87f7136fd1f1fee536375d248d8233
|
[
"BSD-3-Clause"
] | null | null | null |
# Created by Joshua de Guzman on 09/07/2018
# @email code@jmdg.io
| 16.75
| 43
| 0.716418
| 13
| 67
| 3.692308
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145455
| 0.179104
| 67
| 3
| 44
| 22.333333
| 0.727273
| 0.910448
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bff70b3309a5ed4174096ee7f140be66b2e49576
| 154
|
py
|
Python
|
backend/cloud-run-api/app/api/routes/api.py
|
tuxedocat/fast-annotation-tool
|
2e28e81bf5b383ac033eeae847921d68ed302556
|
[
"Apache-2.0"
] | 24
|
2021-06-08T06:20:55.000Z
|
2022-03-24T07:27:08.000Z
|
backend/cloud-run-api/app/api/routes/api.py
|
shunyooo/fast-annotation-tool
|
0f7b23eb9e664daf33c6ada366ea550996d103b3
|
[
"Apache-2.0"
] | null | null | null |
backend/cloud-run-api/app/api/routes/api.py
|
shunyooo/fast-annotation-tool
|
0f7b23eb9e664daf33c6ada366ea550996d103b3
|
[
"Apache-2.0"
] | 6
|
2021-06-08T02:39:31.000Z
|
2022-01-08T15:10:01.000Z
|
from fastapi import APIRouter
from app.api.routes import annotation
router = APIRouter()
router.include_router(annotation.router, tags=["annotation"])
| 19.25
| 61
| 0.798701
| 19
| 154
| 6.421053
| 0.578947
| 0.262295
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103896
| 154
| 7
| 62
| 22
| 0.884058
| 0
| 0
| 0
| 0
| 0
| 0.064935
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
870882e421b14f9f39a55e2acd2e032017557365
| 150
|
py
|
Python
|
omnibot/app.py
|
troybots/omnibot
|
99f93256154d241a0cd76a514fd8b2a245af3f0f
|
[
"Apache-2.0"
] | 72
|
2019-11-21T00:02:18.000Z
|
2022-01-20T02:23:09.000Z
|
omnibot/app.py
|
troybots/omnibot
|
99f93256154d241a0cd76a514fd8b2a245af3f0f
|
[
"Apache-2.0"
] | 30
|
2019-11-22T04:24:57.000Z
|
2021-09-24T22:50:12.000Z
|
omnibot/app.py
|
mogofinancial/omnibot
|
b62ccec1bf77b16a498ce5cd5f16c1812102f75b
|
[
"Apache-2.0"
] | 6
|
2019-12-26T00:37:41.000Z
|
2021-04-09T04:21:17.000Z
|
from __future__ import absolute_import
from flask import Flask
from omnibot import settings
app = Flask(__name__)
app.config.from_object(settings)
| 16.666667
| 38
| 0.826667
| 21
| 150
| 5.428571
| 0.52381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126667
| 150
| 8
| 39
| 18.75
| 0.870229
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
870c733cf58af4f43e493f832bf8a06b0b43c665
| 568
|
py
|
Python
|
exercises/test_D4.py
|
dataXcode/IPP
|
c9b94ad2d7dc14b01e6657a4fa555507bbc7e93b
|
[
"MIT"
] | null | null | null |
exercises/test_D4.py
|
dataXcode/IPP
|
c9b94ad2d7dc14b01e6657a4fa555507bbc7e93b
|
[
"MIT"
] | null | null | null |
exercises/test_D4.py
|
dataXcode/IPP
|
c9b94ad2d7dc14b01e6657a4fa555507bbc7e93b
|
[
"MIT"
] | null | null | null |
def test():
# Test
assert( students == {'Ahmed': 87, 'Waleed': 69, 'Hesham': 92, 'Khaled': {'Math': 86, 'English': 74}}
), "اجابة خاطئة: لم تقم باضافة الطالب خالد ودرجاته الى قاموس الطلاب بشكل صحيح"
assert('students["Khaled"]["English"]' in __solution__ or "students['Khaled']['English']" in __solution__
or 'students["Khaled"] ["English"]' in __solution__ or "students['Khaled'] ['English']" in __solution__
), "اجابة خاطئة: لم تقم بطباعة درجة خالد في اللغة الانجليزية بشكل صحيح"
__msg__.good("اجابة صحيحة. احسنت")
| 56.8
| 115
| 0.635563
| 70
| 568
| 4.871429
| 0.571429
| 0.164223
| 0.246334
| 0.269795
| 0.381232
| 0.381232
| 0.381232
| 0.381232
| 0.381232
| 0.381232
| 0
| 0.022173
| 0.205986
| 568
| 9
| 116
| 63.111111
| 0.733925
| 0.007042
| 0
| 0
| 0
| 0
| 0.549822
| 0.103203
| 0
| 0
| 0
| 0
| 0.285714
| 1
| 0.142857
| true
| 0
| 0
| 0
| 0.142857
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8715a6a8c0d757fac937bc704f404f52f1da69d1
| 198
|
py
|
Python
|
couzinswarm/__init__.py
|
genvex/fishswarm
|
50b07da5264e08a1e312457dd4c7088d5a5557e6
|
[
"MIT"
] | 7
|
2020-04-02T09:52:29.000Z
|
2021-07-12T07:41:32.000Z
|
couzinswarm/__init__.py
|
genvex/fishswarm
|
50b07da5264e08a1e312457dd4c7088d5a5557e6
|
[
"MIT"
] | null | null | null |
couzinswarm/__init__.py
|
genvex/fishswarm
|
50b07da5264e08a1e312457dd4c7088d5a5557e6
|
[
"MIT"
] | 2
|
2020-06-26T10:52:19.000Z
|
2021-03-14T06:58:30.000Z
|
from .metadata import __version__, __author__, __copyright__, __credits__, __license__, __maintainer__, __email__, __status__
from .tools import *
from .objects import *
from .simulation import *
| 28.285714
| 125
| 0.80303
| 20
| 198
| 6.35
| 0.7
| 0.15748
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126263
| 198
| 6
| 126
| 33
| 0.734104
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
874b81afd7891d2dc569f59ec5614629a8a79173
| 116
|
py
|
Python
|
auctioning_platform/shipping_infrastructure/shipping_infrastructure/repositories/__init__.py
|
nhdinh/smp-modulith
|
84c31b36e9b449fe3135f3802c1bbc362e7fb459
|
[
"MIT"
] | 299
|
2019-09-13T23:03:29.000Z
|
2022-03-24T09:20:43.000Z
|
auctioning_platform/shipping_infrastructure/shipping_infrastructure/repositories/__init__.py
|
winston-won/clean-architecture
|
95546b29c9a5ff0e16c7f67b9ab736749e87f8ae
|
[
"MIT"
] | 109
|
2019-11-03T12:16:16.000Z
|
2021-07-26T08:32:28.000Z
|
auctioning_platform/shipping_infrastructure/shipping_infrastructure/repositories/__init__.py
|
winston-won/clean-architecture
|
95546b29c9a5ff0e16c7f67b9ab736749e87f8ae
|
[
"MIT"
] | 38
|
2019-09-13T23:03:34.000Z
|
2022-03-24T09:21:10.000Z
|
__all__ = ["FakeAddressRepository"]
from shipping_infrastructure.repositories.address import FakeAddressRepository
| 29
| 78
| 0.87069
| 9
| 116
| 10.666667
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 116
| 3
| 79
| 38.666667
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0.181034
| 0.181034
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5e8dce89ea948ae7fa57ad08440e43aeccf59317
| 291
|
py
|
Python
|
ramda/clone.py
|
jakobkolb/ramda.py
|
982b2172f4bb95b9a5b09eff8077362d6f2f0920
|
[
"MIT"
] | 56
|
2018-08-06T08:44:58.000Z
|
2022-03-17T09:49:03.000Z
|
ramda/clone.py
|
jakobkolb/ramda.py
|
982b2172f4bb95b9a5b09eff8077362d6f2f0920
|
[
"MIT"
] | 28
|
2019-06-17T11:09:52.000Z
|
2022-02-18T16:59:21.000Z
|
ramda/clone.py
|
jakobkolb/ramda.py
|
982b2172f4bb95b9a5b09eff8077362d6f2f0920
|
[
"MIT"
] | 5
|
2019-09-18T09:24:38.000Z
|
2021-07-21T08:40:23.000Z
|
import copy
def clone(v):
"""Creates a deep copy of the value which may contain (nested) Arrays and
Objects, Numbers, Strings, Booleans and Dates. Functions are
assigned by reference rather than copied
Dispatches to a clone method if present"""
return copy.deepcopy(v)
| 29.1
| 77
| 0.725086
| 43
| 291
| 4.906977
| 0.860465
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.213058
| 291
| 9
| 78
| 32.333333
| 0.921397
| 0.728522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5e958c8eb6a6275ce32c4ff0a64040f59e154fda
| 100
|
py
|
Python
|
lib/mock_env.py
|
kangzeroo/RentHero_dynamodb-to-elasticsearch-lambda
|
0d06052fa3a65c2ffa7ac0065cd14a03074ff34a
|
[
"MIT"
] | null | null | null |
lib/mock_env.py
|
kangzeroo/RentHero_dynamodb-to-elasticsearch-lambda
|
0d06052fa3a65c2ffa7ac0065cd14a03074ff34a
|
[
"MIT"
] | null | null | null |
lib/mock_env.py
|
kangzeroo/RentHero_dynamodb-to-elasticsearch-lambda
|
0d06052fa3a65c2ffa7ac0065cd14a03074ff34a
|
[
"MIT"
] | null | null | null |
ES_ENDPOINT='https://search-renthero-intents-mfb4bx6dwwpbqxdssfg2ocbcum.us-east-1.es.amazonaws.com'
| 50
| 99
| 0.84
| 13
| 100
| 6.384615
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040404
| 0.01
| 100
| 1
| 100
| 100
| 0.79798
| 0
| 0
| 0
| 0
| 1
| 0.85
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5ea525f59d79fd38550aa918b4b3d5d7ff912875
| 628
|
py
|
Python
|
hail/python/hailtop/aiogoogle/__init__.py
|
MariusDanner/hail
|
5ca0305f8243b5888931b1afaa1fbfb617dee097
|
[
"MIT"
] | 1
|
2020-12-03T11:20:22.000Z
|
2020-12-03T11:20:22.000Z
|
hail/python/hailtop/aiogoogle/__init__.py
|
MariusDanner/hail
|
5ca0305f8243b5888931b1afaa1fbfb617dee097
|
[
"MIT"
] | 3
|
2017-06-16T18:10:45.000Z
|
2017-07-21T17:44:13.000Z
|
hail/python/hailtop/aiogoogle/__init__.py
|
MariusDanner/hail
|
5ca0305f8243b5888931b1afaa1fbfb617dee097
|
[
"MIT"
] | 2
|
2018-01-30T00:50:52.000Z
|
2018-03-22T20:04:01.000Z
|
from .auth import Credentials, ApplicationDefaultCredentials, \
ServiceAccountCredentials, AccessToken, Session
from .client import BigQueryClient, ContainerClient, ComputeClient, IAmClient, LoggingClient, \
InsertObjectStream, GetObjectStream, StorageClient, GoogleStorageAsyncFS
__all__ = [
'Credentials',
'ApplicationDefaultCredentials',
'ServiceAccountCredentials',
'AccessToken',
'Session',
'BigQueryClient',
'ContainerClient',
'ComputeClient',
'IAmClient',
'LoggingClient',
'InsertObjectStream',
'GetObjectStream',
'StorageClient',
'GoogleStorageAsyncFS'
]
| 28.545455
| 95
| 0.737261
| 35
| 628
| 13.114286
| 0.542857
| 0.174292
| 0.283224
| 0.331155
| 0.928105
| 0.566449
| 0.566449
| 0.566449
| 0.566449
| 0
| 0
| 0
| 0.167197
| 628
| 21
| 96
| 29.904762
| 0.877629
| 0
| 0
| 0
| 0
| 0
| 0.339172
| 0.085987
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0
| 0
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5ea60ee276c56ff68f39639d42039b404aabb9b9
| 86
|
py
|
Python
|
pydrive_auth.py
|
cacco-kozaka/ren-treb
|
5af167aca311f98a87065455969e3a3330d67542
|
[
"Unlicense"
] | null | null | null |
pydrive_auth.py
|
cacco-kozaka/ren-treb
|
5af167aca311f98a87065455969e3a3330d67542
|
[
"Unlicense"
] | null | null | null |
pydrive_auth.py
|
cacco-kozaka/ren-treb
|
5af167aca311f98a87065455969e3a3330d67542
|
[
"Unlicense"
] | null | null | null |
from pydrive.auth import GoogleAuth
#
gauth = GoogleAuth()
gauth.LocalWebserverAuth()
| 17.2
| 35
| 0.802326
| 9
| 86
| 7.666667
| 0.777778
| 0.434783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104651
| 86
| 4
| 36
| 21.5
| 0.896104
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5ec3ba31550cc83b5cde356397e8ee530aba0b0f
| 107
|
py
|
Python
|
topCoder/srms/100s/srm195/div2/rounder.py
|
gauravsingh58/algo
|
397859a53429e7a585e5f6964ad24146c6261326
|
[
"WTFPL"
] | 1
|
2020-09-30T19:53:08.000Z
|
2020-09-30T19:53:08.000Z
|
topCoder/srms/100s/srm195/div2/rounder.py
|
gauravsingh58/algo
|
397859a53429e7a585e5f6964ad24146c6261326
|
[
"WTFPL"
] | null | null | null |
topCoder/srms/100s/srm195/div2/rounder.py
|
gauravsingh58/algo
|
397859a53429e7a585e5f6964ad24146c6261326
|
[
"WTFPL"
] | 1
|
2020-10-15T09:10:57.000Z
|
2020-10-15T09:10:57.000Z
|
class Rounder:
def round(self, n, b):
m = n%b
return n-m if m < (b/2 + b%2) else n+b-m
| 21.4
| 48
| 0.476636
| 23
| 107
| 2.217391
| 0.521739
| 0.117647
| 0.117647
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029412
| 0.364486
| 107
| 4
| 49
| 26.75
| 0.720588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
5ec7d02802f3fb7974a410cf9b5013642c975cd0
| 196
|
py
|
Python
|
test_project/test_app/views.py
|
resulto/django-makemessages-xgettext
|
6af1590ec4dc2ffd6670e026d098cb0baa415d54
|
[
"BSD-3-Clause"
] | 2
|
2016-11-16T19:16:51.000Z
|
2018-02-23T02:52:35.000Z
|
test_project/test_app/views.py
|
resulto/django-makemessages-xgettext
|
6af1590ec4dc2ffd6670e026d098cb0baa415d54
|
[
"BSD-3-Clause"
] | null | null | null |
test_project/test_app/views.py
|
resulto/django-makemessages-xgettext
|
6af1590ec4dc2ffd6670e026d098cb0baa415d54
|
[
"BSD-3-Clause"
] | null | null | null |
from django.http import HttpResponse
from django.utils.translation import ugettext as _
# Create your views here.
def index(request):
text = _('Hello, world.')
return HttpResponse(text)
| 21.777778
| 50
| 0.744898
| 25
| 196
| 5.76
| 0.8
| 0.138889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168367
| 196
| 8
| 51
| 24.5
| 0.883436
| 0.117347
| 0
| 0
| 0
| 0
| 0.076023
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
0d715a7edecdaad8015036bb1d0ab6e43b92df58
| 109
|
py
|
Python
|
Coursera/AddTwoNumbers.py
|
shelcia/InterviewQuestionPython
|
c1bff9598da01e3b75472e78f7a1b28fdcb2d935
|
[
"Apache-2.0"
] | 1
|
2020-09-30T19:06:15.000Z
|
2020-09-30T19:06:15.000Z
|
Coursera/AddTwoNumbers.py
|
shelcia/InterviewQuestionPython
|
c1bff9598da01e3b75472e78f7a1b28fdcb2d935
|
[
"Apache-2.0"
] | null | null | null |
Coursera/AddTwoNumbers.py
|
shelcia/InterviewQuestionPython
|
c1bff9598da01e3b75472e78f7a1b28fdcb2d935
|
[
"Apache-2.0"
] | null | null | null |
n1 = int(input('enter first number: '))
n2 = int(input('enter second number: '))
print('Sum: ', int(n1+n2))
| 21.8
| 40
| 0.623853
| 17
| 109
| 4
| 0.588235
| 0.235294
| 0.382353
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043011
| 0.146789
| 109
| 4
| 41
| 27.25
| 0.688172
| 0
| 0
| 0
| 0
| 0
| 0.422018
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0d9b476fbb007fb7f5ba31ce0b776a2581eddee0
| 134
|
py
|
Python
|
templates/functions.py
|
Tsitko/drawyourbot
|
87ce611a6aaba0dbcd02332edecf1dfe79dcae03
|
[
"MIT"
] | 22
|
2021-04-22T08:00:08.000Z
|
2021-08-11T00:30:30.000Z
|
templates/functions.py
|
Tsitko/drawyourbot
|
87ce611a6aaba0dbcd02332edecf1dfe79dcae03
|
[
"MIT"
] | null | null | null |
templates/functions.py
|
Tsitko/drawyourbot
|
87ce611a6aaba0dbcd02332edecf1dfe79dcae03
|
[
"MIT"
] | 4
|
2021-08-10T08:36:12.000Z
|
2022-03-27T15:21:30.000Z
|
def %block_name%(bot, update):
global answers
if %function%(%function_args%):
%next_blocks_true%
else:
%next_blocks_false%
| 22.333333
| 35
| 0.708955
| 18
| 134
| 4.944444
| 0.833333
| 0.224719
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156716
| 134
| 6
| 36
| 22.333333
| 0.787611
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0da0bc9f19231b731d800d4a03f52b3447c2ac93
| 122
|
py
|
Python
|
src/empirical_fire_modelling/__init__.py
|
akuhnregnier/empirical-fire-modelling
|
4187f5bfce0595d98361a9264793c25607043047
|
[
"MIT"
] | null | null | null |
src/empirical_fire_modelling/__init__.py
|
akuhnregnier/empirical-fire-modelling
|
4187f5bfce0595d98361a9264793c25607043047
|
[
"MIT"
] | null | null | null |
src/empirical_fire_modelling/__init__.py
|
akuhnregnier/empirical-fire-modelling
|
4187f5bfce0595d98361a9264793c25607043047
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Empirical analysis of wildfires."""
from ._version import version as __version__
del _version
| 20.333333
| 44
| 0.713115
| 15
| 122
| 5.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009615
| 0.147541
| 122
| 5
| 45
| 24.4
| 0.769231
| 0.45082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
0de169055d59995faee2cf5c198d32d2a4fd87ae
| 390
|
py
|
Python
|
countershape/__init__.py
|
samtaufa/countershape
|
c10370d972a473f5fb0faae8de934aee2177b49f
|
[
"MIT"
] | 3
|
2015-12-27T23:42:48.000Z
|
2016-05-09T14:37:30.000Z
|
countershape/__init__.py
|
samtaufa/countershape
|
c10370d972a473f5fb0faae8de934aee2177b49f
|
[
"MIT"
] | null | null | null |
countershape/__init__.py
|
samtaufa/countershape
|
c10370d972a473f5fb0faae8de934aee2177b49f
|
[
"MIT"
] | null | null | null |
from model import Link, UrlTo, ALink, Top
from doc import readFrom, Page, Copy, PythonPage, PythonModule, Directory, Doc
from widgets import NavBar, SiblingNavBar, ExtendedParentPageIndex, SiblingPageIndex
from widgets import ParentPageIndex, PageTrail
from blog import Post, IndexPage, ArchivePage, RSSPage, Blog
from template import File, Template
from layout import Layout
import markup
| 43.333333
| 84
| 0.830769
| 48
| 390
| 6.75
| 0.625
| 0.067901
| 0.104938
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123077
| 390
| 8
| 85
| 48.75
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
218becbb080fe2febca311ae266fc01168c93ed5
| 61
|
py
|
Python
|
Python/B2062.py
|
Epoch1017/LintCode-Shared-Solutions
|
d1559ef96917c4255e1ce2cf25ef17edec596ac3
|
[
"CC0-1.0"
] | null | null | null |
Python/B2062.py
|
Epoch1017/LintCode-Shared-Solutions
|
d1559ef96917c4255e1ce2cf25ef17edec596ac3
|
[
"CC0-1.0"
] | null | null | null |
Python/B2062.py
|
Epoch1017/LintCode-Shared-Solutions
|
d1559ef96917c4255e1ce2cf25ef17edec596ac3
|
[
"CC0-1.0"
] | null | null | null |
# B2062-乘方计算
a, n = map(int, input().split())
print(a ** n)
| 20.333333
| 33
| 0.557377
| 11
| 61
| 3.090909
| 0.818182
| 0.117647
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 0.180328
| 61
| 3
| 34
| 20.333333
| 0.6
| 0.163934
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 1
|
0
| 4
|
219fa021acd297a6fad9158546a662c20ee2cf6b
| 2,569
|
py
|
Python
|
eynnyd/abstract_request.py
|
cbefus/Eynnyd
|
1b25281af98c1360794806db21f52ddbe0bd2cad
|
[
"MIT"
] | 3
|
2019-08-24T19:01:52.000Z
|
2020-01-21T00:39:07.000Z
|
eynnyd/abstract_request.py
|
cbefus/Eynnyd
|
1b25281af98c1360794806db21f52ddbe0bd2cad
|
[
"MIT"
] | null | null | null |
eynnyd/abstract_request.py
|
cbefus/Eynnyd
|
1b25281af98c1360794806db21f52ddbe0bd2cad
|
[
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
class AbstractRequest(ABC):
"""
The expected interface for a request.
If you want to build your own request object it needs to meet the requirements set out in this class.
"""
@property
@abstractmethod
def http_method(self):
"""
The HTTP method used for the request. This gets matched against the handler routes and must be an exact match.
:return: a string like: "GET", "PUT", "POST", "DELETE", etc.
"""
pass
@property
@abstractmethod
def request_uri(self):
"""
The request uri encapsulates the scheme, host, port, path, and query.
:return: An Eynnyd RequestURI object with properties for scheme, host, port, path, and query
"""
pass
@property
@abstractmethod
def forwarded_request_uri(self):
"""
The request uri but using forwarded info.
:return: An Eynnyd RequestURI object with properties for scheme, host, port, path, and query
"""
pass
@property
@abstractmethod
def headers(self):
"""
The HTTP headers from the request
:return: A dictionary of header names to header values
"""
pass
@property
@abstractmethod
def client_ip_address(self):
"""
The ip address of the remote user
:return: a string ip address
"""
pass
@property
@abstractmethod
def cookies(self):
"""
The cookies from the request
:return: A dictionary of cookie name to Eynnyd Cookie objects with name and value properties
"""
pass
@property
@abstractmethod
def query_parameters(self):
"""
The query part of the request
:return: a dictionary of parameter names to lists of parameter values
"""
pass
@property
@abstractmethod
def path_parameters(self):
"""
The parameters set in the path of request matching against pattern matching path parameters.
:return: A dictionary of path variable name to request path value.
"""
pass
@property
@abstractmethod
def byte_body(self):
"""
The raw request body
:return: The body of the request left encoded as bytes.
"""
pass
@property
@abstractmethod
def utf8_body(self):
"""
The encoded request body
:return: The request body after being encoded to utf-8
"""
pass
| 22.9375
| 119
| 0.59712
| 296
| 2,569
| 5.148649
| 0.351351
| 0.144357
| 0.164042
| 0.17126
| 0.294619
| 0.248688
| 0.177165
| 0.133858
| 0.133858
| 0.133858
| 0
| 0.00117
| 0.334371
| 2,569
| 111
| 120
| 23.144144
| 0.890058
| 0.511094
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| 0.238095
| false
| 0.238095
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| null | 0
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| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
21a596f4060328c7409920f7f1e3c9859a2efe5d
| 154
|
py
|
Python
|
src/__init__.py
|
tech-espm/misc-webbot
|
acfee1e655695835fe486ecc5ba31f9cd44c8bec
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
tech-espm/misc-webbot
|
acfee1e655695835fe486ecc5ba31f9cd44c8bec
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
tech-espm/misc-webbot
|
acfee1e655695835fe486ecc5ba31f9cd44c8bec
|
[
"MIT"
] | 1
|
2019-05-21T02:32:03.000Z
|
2019-05-21T02:32:03.000Z
|
"""This is the main class for running the personal assistant.
"""
from src import crawler
if __name__ == '__main__':
crawler.Message().__call__()
| 15.4
| 61
| 0.701299
| 20
| 154
| 4.8
| 0.85
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 154
| 9
| 62
| 17.111111
| 0.761905
| 0.376623
| 0
| 0
| 0
| 0
| 0.090909
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 0.333333
| 0
| 0.333333
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
21b0ffb5166a14a64cde305ecbcf291e6ad3fcba
| 74
|
py
|
Python
|
nltk_use.py
|
JoeyWord/common_op
|
97bc5bc1364576e20a0152271351b86d3fc7e59c
|
[
"Apache-2.0"
] | null | null | null |
nltk_use.py
|
JoeyWord/common_op
|
97bc5bc1364576e20a0152271351b86d3fc7e59c
|
[
"Apache-2.0"
] | null | null | null |
nltk_use.py
|
JoeyWord/common_op
|
97bc5bc1364576e20a0152271351b86d3fc7e59c
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env/py35
# coding=utf-8
from nltk import corpus
import nltk.
| 10.571429
| 23
| 0.716216
| 13
| 74
| 4.076923
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.047619
| 0.148649
| 74
| 6
| 24
| 12.333333
| 0.793651
| 0.418919
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 1
| null | null | 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
21c3d986cdaf55a5f977d7423aeec4602d559401
| 150
|
py
|
Python
|
pip-setup.py
|
clairewang87/Redis_TimeSeries-1
|
c04ec01acc9dfd72ad5229be4115523afbf046a0
|
[
"Ruby",
"BSD-3-Clause",
"MIT"
] | 1
|
2021-05-28T15:07:45.000Z
|
2021-05-28T15:07:45.000Z
|
pip-setup.py
|
clairewang87/Redis_TimeSeries-1
|
c04ec01acc9dfd72ad5229be4115523afbf046a0
|
[
"Ruby",
"BSD-3-Clause",
"MIT"
] | 3
|
2021-05-28T14:57:23.000Z
|
2021-06-05T12:40:04.000Z
|
pip-setup.py
|
clairewang87/Redis_TimeSeries-1
|
c04ec01acc9dfd72ad5229be4115523afbf046a0
|
[
"Ruby",
"BSD-3-Clause",
"MIT"
] | 3
|
2021-05-28T15:03:04.000Z
|
2021-06-02T08:50:33.000Z
|
pip3 install pmdarima
pip3 install statsmodels
pip3 install numpy
pip3 install pandas
pip3 install matplotlib
pip3 install scipy
pip3 install sklearn
| 18.75
| 24
| 0.86
| 21
| 150
| 6.142857
| 0.428571
| 0.596899
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054264
| 0.14
| 150
| 7
| 25
| 21.428571
| 0.945736
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
21c827c6928e8d3f4f1985e35011c30e48bf73a9
| 181
|
py
|
Python
|
good_delivery/apps.py
|
UniversitaDellaCalabria/delivery_app
|
31c5cf537c0c0d648d321bca3c90c6a6a7e92f14
|
[
"Apache-2.0"
] | 2
|
2021-06-07T22:36:03.000Z
|
2021-10-05T14:39:35.000Z
|
good_delivery/apps.py
|
UniversitaDellaCalabria/delivery_app
|
31c5cf537c0c0d648d321bca3c90c6a6a7e92f14
|
[
"Apache-2.0"
] | 5
|
2020-09-23T13:16:14.000Z
|
2020-10-05T07:19:33.000Z
|
good_delivery/apps.py
|
UniversitaDellaCalabria/django-delivery
|
61a3bef9ce2cc3e36a1f9ad243c0ed55f41cfdc5
|
[
"Apache-2.0"
] | null | null | null |
from django.apps import AppConfig
class GoodDeliveryConfig(AppConfig):
name = 'good_delivery'
# def ready(self):
# Signals
# import good_delivery.signals
| 18.1
| 38
| 0.679558
| 19
| 181
| 6.368421
| 0.736842
| 0.198347
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.243094
| 181
| 9
| 39
| 20.111111
| 0.883212
| 0.292818
| 0
| 0
| 0
| 0
| 0.104839
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
21cdce1c299738b24c4ba32994b5197689ee7364
| 247
|
py
|
Python
|
polls/admin.py
|
Ezenwankwo/gabriel_enuma_ezenwankwo
|
bfcd92e35e37c9fe88cc522a040a8647559725cd
|
[
"MIT"
] | null | null | null |
polls/admin.py
|
Ezenwankwo/gabriel_enuma_ezenwankwo
|
bfcd92e35e37c9fe88cc522a040a8647559725cd
|
[
"MIT"
] | null | null | null |
polls/admin.py
|
Ezenwankwo/gabriel_enuma_ezenwankwo
|
bfcd92e35e37c9fe88cc522a040a8647559725cd
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Profile, Poll, Choice
# Register your models here.
admin.site.register(Profile, admin.ModelAdmin)
admin.site.register(Poll, admin.ModelAdmin)
admin.site.register(Choice, admin.ModelAdmin)
| 19
| 46
| 0.793522
| 33
| 247
| 5.939394
| 0.424242
| 0.137755
| 0.260204
| 0.244898
| 0.326531
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109312
| 247
| 13
| 47
| 19
| 0.890909
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
df1c33fa4225b549a42ca235abab2cc21c83f33b
| 243
|
py
|
Python
|
wagtail/tests/search/apps.py
|
wlcrs/wagtail
|
8afbc6c3eccef9eb0f09ed56c54cd36779451882
|
[
"BSD-3-Clause"
] | 3
|
2019-05-14T13:43:08.000Z
|
2021-11-09T11:27:18.000Z
|
wagtail/tests/search/apps.py
|
denza/wagtail
|
3939397850f2c73d3f960cea5cc9c2cfae2d005d
|
[
"BSD-3-Clause"
] | 163
|
2019-06-14T20:45:06.000Z
|
2022-03-23T01:41:07.000Z
|
wagtail/tests/search/apps.py
|
denza/wagtail
|
3939397850f2c73d3f960cea5cc9c2cfae2d005d
|
[
"BSD-3-Clause"
] | 1
|
2020-04-10T03:21:10.000Z
|
2020-04-10T03:21:10.000Z
|
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
class WagtailSearchTestsAppConfig(AppConfig):
name = 'wagtail.tests.search'
label = 'searchtests'
verbose_name = _("Wagtail search tests")
| 27
| 55
| 0.769547
| 27
| 243
| 6.777778
| 0.703704
| 0.10929
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152263
| 243
| 8
| 56
| 30.375
| 0.88835
| 0
| 0
| 0
| 0
| 0
| 0.209877
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
df1caf045cda36cf6f20bb694e5cb922197d706d
| 110
|
py
|
Python
|
sentiment_analyzer/apps.py
|
Mahmudul-Amin-Minar/E-commerce-Sentiment-analyzer
|
e87327bf6e50182e090b891d30b035fff675fe12
|
[
"MIT"
] | 1
|
2020-12-15T06:52:17.000Z
|
2020-12-15T06:52:17.000Z
|
sentiment_analyzer/apps.py
|
Mahmudul-Amin-Minar/E-commerce-Sentiment-analyzer
|
e87327bf6e50182e090b891d30b035fff675fe12
|
[
"MIT"
] | null | null | null |
sentiment_analyzer/apps.py
|
Mahmudul-Amin-Minar/E-commerce-Sentiment-analyzer
|
e87327bf6e50182e090b891d30b035fff675fe12
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class SentimentAnalyzerConfig(AppConfig):
name = 'sentiment_analyzer'
| 18.333333
| 41
| 0.8
| 11
| 110
| 7.909091
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 110
| 5
| 42
| 22
| 0.915789
| 0
| 0
| 0
| 0
| 0
| 0.163636
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
df4394c8c9c77e0aed31cd543acf55d0e970801d
| 90
|
py
|
Python
|
scc_home/apps.py
|
supercooledcreations/supercooledcreations
|
e4fcbbfd1eb60d808273d16c1de0ffb81ac33e49
|
[
"MIT"
] | null | null | null |
scc_home/apps.py
|
supercooledcreations/supercooledcreations
|
e4fcbbfd1eb60d808273d16c1de0ffb81ac33e49
|
[
"MIT"
] | null | null | null |
scc_home/apps.py
|
supercooledcreations/supercooledcreations
|
e4fcbbfd1eb60d808273d16c1de0ffb81ac33e49
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class SccHomeConfig(AppConfig):
name = 'scc_home'
| 15
| 33
| 0.755556
| 11
| 90
| 6.090909
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 90
| 5
| 34
| 18
| 0.893333
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
df639262766b88ff72a82aa5f9e3a95f334cf416
| 178
|
py
|
Python
|
venv/Scripts/django-admin.py
|
bozburak/Blog_With_Django
|
beef62228ac7ae5dd445722f078b7fbb6d243556
|
[
"MIT"
] | null | null | null |
venv/Scripts/django-admin.py
|
bozburak/Blog_With_Django
|
beef62228ac7ae5dd445722f078b7fbb6d243556
|
[
"MIT"
] | null | null | null |
venv/Scripts/django-admin.py
|
bozburak/Blog_With_Django
|
beef62228ac7ae5dd445722f078b7fbb6d243556
|
[
"MIT"
] | null | null | null |
#!c:\users\boz\desktop\python~2\django\my_blo~1\venv\scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 29.666667
| 71
| 0.780899
| 27
| 178
| 4.703704
| 0.851852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01227
| 0.08427
| 178
| 5
| 72
| 35.6
| 0.766871
| 0.393258
| 0
| 0
| 0
| 0
| 0.074766
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
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| 1
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| 0
| 0
|
0
| 4
|
10c4fa2fea6fe24f3dc6c629c320361df033b7c1
| 89
|
py
|
Python
|
talentmap_api/bidding/apps.py
|
burgwyn/State-TalentMAP-API
|
1f4f3659c5743ebfd558cd87af381f5460f284b3
|
[
"CC0-1.0"
] | 7
|
2018-10-17T15:13:05.000Z
|
2021-12-10T14:53:38.000Z
|
talentmap_api/bidding/apps.py
|
burgwyn/State-TalentMAP-API
|
1f4f3659c5743ebfd558cd87af381f5460f284b3
|
[
"CC0-1.0"
] | 232
|
2017-06-16T02:09:54.000Z
|
2018-05-10T16:15:48.000Z
|
talentmap_api/bidding/apps.py
|
MetaPhase-Consulting/State-TalentMAP-API
|
4e238cbfe241fd3d0a718a9a0fc038dbed00f13b
|
[
"CC0-1.0"
] | 4
|
2018-06-13T14:49:27.000Z
|
2021-06-30T22:29:15.000Z
|
from django.apps import AppConfig
class BiddingConfig(AppConfig):
name = 'bidding'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
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| 0
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| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
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| 1
| 0
|
0
| 4
|
10d83f38ad8b45d6a9c1c9f2d1fc3932ad3772bb
| 138
|
py
|
Python
|
wsgi/iportalen_django/speaker_list/forms.py
|
I-sektionen/i-portalen
|
1713e5814d40c0da1bf3278d60a561e7d3df3550
|
[
"MIT"
] | 4
|
2016-09-21T17:06:01.000Z
|
2018-02-06T16:36:44.000Z
|
wsgi/iportalen_django/speaker_list/forms.py
|
I-sektionen/i-portalen
|
1713e5814d40c0da1bf3278d60a561e7d3df3550
|
[
"MIT"
] | 149
|
2016-03-07T23:50:47.000Z
|
2022-03-11T23:16:33.000Z
|
wsgi/iportalen_django/speaker_list/forms.py
|
I-sektionen/i-portalen
|
1713e5814d40c0da1bf3278d60a561e7d3df3550
|
[
"MIT"
] | 1
|
2016-03-07T23:02:06.000Z
|
2016-03-07T23:02:06.000Z
|
from django import forms
class SpeakerForm(forms.Form):
speech_nr = forms.CharField(required=False)
method = forms.CharField()
| 17.25
| 47
| 0.73913
| 17
| 138
| 5.941176
| 0.764706
| 0.277228
| 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0.166667
| 138
| 7
| 48
| 19.714286
| 0.878261
| 0
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| 0.25
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| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
8030494aa3f4ce087c284f5346dea0e3278c595d
| 97
|
py
|
Python
|
pack.py
|
ersilia-os/eos0abc
|
caeb2a5b519035660d3c7b39f7e1fc4d9f76c3e7
|
[
"MIT"
] | null | null | null |
pack.py
|
ersilia-os/eos0abc
|
caeb2a5b519035660d3c7b39f7e1fc4d9f76c3e7
|
[
"MIT"
] | null | null | null |
pack.py
|
ersilia-os/eos0abc
|
caeb2a5b519035660d3c7b39f7e1fc4d9f76c3e7
|
[
"MIT"
] | null | null | null |
from src.service import Service
service = Service()
service.pack('model', None)
service.save()
| 13.857143
| 31
| 0.742268
| 13
| 97
| 5.538462
| 0.615385
| 0.583333
| 0.583333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123711
| 97
| 6
| 32
| 16.166667
| 0.847059
| 0
| 0
| 0
| 0
| 0
| 0.051546
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
33bf829dade0b734da3ca1b424c3322465ec3b16
| 103
|
py
|
Python
|
bat/example/__init__.py
|
lundybernard/metal-snake
|
4ae39cc3b4e070625a67bf1df0e7e53d01c19ab1
|
[
"MIT"
] | null | null | null |
bat/example/__init__.py
|
lundybernard/metal-snake
|
4ae39cc3b4e070625a67bf1df0e7e53d01c19ab1
|
[
"MIT"
] | 2
|
2022-03-31T03:01:39.000Z
|
2022-03-31T03:02:48.000Z
|
bat/example/__init__.py
|
lundybernard/metal-snake
|
4ae39cc3b4e070625a67bf1df0e7e53d01c19ab1
|
[
"MIT"
] | null | null | null |
'''Example Module
'''
from dataclasses import dataclass
@dataclass
class Config:
parameter: str
| 10.3
| 33
| 0.728155
| 11
| 103
| 6.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.184466
| 103
| 9
| 34
| 11.444444
| 0.892857
| 0.135922
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.75
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
33d39ba8505aac9dac1a0c5b3d7577fedab6bbe7
| 49
|
py
|
Python
|
keras_adabound/__init__.py
|
CyberZHG/keras-adabound
|
71ca69e71deccba0992a33f1b3685f276fa620c6
|
[
"MIT"
] | 62
|
2019-02-28T12:55:27.000Z
|
2022-03-26T18:20:29.000Z
|
keras_adabound/__init__.py
|
CyberZHG/keras-adabound
|
71ca69e71deccba0992a33f1b3685f276fa620c6
|
[
"MIT"
] | 4
|
2019-03-04T16:01:06.000Z
|
2021-04-16T07:06:17.000Z
|
keras_adabound/__init__.py
|
CyberZHG/keras-adabound
|
71ca69e71deccba0992a33f1b3685f276fa620c6
|
[
"MIT"
] | 10
|
2019-03-01T04:15:26.000Z
|
2021-12-17T16:35:30.000Z
|
from .optimizers import *
__version__ = '0.6.0'
| 12.25
| 25
| 0.693878
| 7
| 49
| 4.285714
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073171
| 0.163265
| 49
| 3
| 26
| 16.333333
| 0.658537
| 0
| 0
| 0
| 0
| 0
| 0.102041
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1d2417a65e26a237edaddf87440c3667e07c7cb8
| 30
|
py
|
Python
|
output/__init__.py
|
zyronix/maske
|
6d7af9bb5ea397512a53438fa19602c17c0804c5
|
[
"Apache-2.0"
] | null | null | null |
output/__init__.py
|
zyronix/maske
|
6d7af9bb5ea397512a53438fa19602c17c0804c5
|
[
"Apache-2.0"
] | null | null | null |
output/__init__.py
|
zyronix/maske
|
6d7af9bb5ea397512a53438fa19602c17c0804c5
|
[
"Apache-2.0"
] | null | null | null |
import yaml
plugins = [yaml]
| 7.5
| 16
| 0.7
| 4
| 30
| 5.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 30
| 3
| 17
| 10
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1d3c83692c08da0e6a520af3c4e033ef47fa5495
| 102,539
|
py
|
Python
|
py_challenge/level_3.py
|
bertrandvidal/stuff
|
107628d42176eebd6e79adec3cf46bd686f40643
|
[
"Unlicense"
] | null | null | null |
py_challenge/level_3.py
|
bertrandvidal/stuff
|
107628d42176eebd6e79adec3cf46bd686f40643
|
[
"Unlicense"
] | 1
|
2021-03-06T15:01:49.000Z
|
2021-03-06T15:01:49.000Z
|
py_challenge/level_3.py
|
bertrandvidal/stuff
|
107628d42176eebd6e79adec3cf46bd686f40643
|
[
"Unlicense"
] | null | null | null |
from challenge import open_next_level
from collections import Counter
# From the page source
chars = """%%$@_$^__#)^)&!_+]!*@&^}@[@%]()%+$&[(_@%+%$*^@$^!+]!&_#)_*}{}}!}_]$[%}@[{_@#_^{*
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+^!{%_$&@^!}$_${)$_#)!({@!)(^}!*^&!$%_&&}&_#&@{)]{+)%*{&*%*&@%$+]!*__(#!*){%&@++
!_)^$&&%#+)}!@!)&^}**#!_$([$!$}#*^}$+&#[{*{}{((#$]{[$[$$()_#}!@}^@_&%^*!){*^^_$^
]@}#%[%!^[^_})+@&}{@*!(@$%$^)}[_!}(*}#}#___}!](@_{{(*#%!%%+*)^+#%}$+_]#}%!**#!^_
)@)$%%^{_%!@(&{!}$_$[)*!^&{}*#{!)@})!*{^&[&$#@)*@#@_@^_#*!@_#})+[^&!@*}^){%%{&#@
@{%(&{+(#^{@{)%_$[+}]$]^{^#(*}%)@$@}(#{_&]#%#]{_*({(])$%[!}#@@&_)([*]}$}&${^}@(%
(%[@%!}%*$}(*@)}){+@(%@*$&]*^*}*]&$[}*]%]+*}^!}*$^^_()#$^]++@__){&&+((#%+(&+){)$
%&&#($[[+##*%${)_!+{_[})%++)$#))]]]$]@]@($+{&%&%+!!!@]_]+])^*@$(@#${}}#}{%}#+{(@
#__+{{]${]!{(%${%%^)(_*_@+)$]$#_@$)]](}{}$(}*%+!}#+)$%$}+#@*&^{##}+@(%[*@_}{(^]^
+_*{@+[$!!@%$+{_&(#^(([&[][[&@#+}_]&&]}^*&$&)#_^$@$((%)}+{}$#+{+^}&[#[#_+${#[#]{
(@@[%}[}$%+*#$+[%(**!$+@$@&+$_$#!_&&&&{***+)}][}#^!%#&$*)$!%}*&#}}##(^_%^]{+]&&]
}^]#^(}@]&$]*_][])$]{_+})^_}]))()^&)(!*![!&}{][(]})[(*^}$&$_@^$)#${%[$_]!^]}}}*+
*^_(+}^)(%(}{&)[}!$$&&+}&[{%}^+#$]@)^&*%{@}]&!%*%$*&][}&{$&*@{@#]$*_[]%%[#]#*%)@
$_^#%$!{#]^$}%^@^+{($!^($%)]+&}+$@[$*)*&)*%!_!!+@&^*{}%#&{}$!(*^*@]@@})[($!)]]})
})(&+##]##%&##$}@{#_])*%(*(@$)}[+(+_)!{{#^{_@)!&)$}@^^^[$#__+$^!*#%%]_!#$]$&+^}%
@])])%}]#$((^+{{@++^])$^*#[$}*]}}{)@+)[_}*@^%#]]#+()+)(]_[!!!)+)$+&@@])!}+*%]$[]
&&[@+$_&#[$!$${}{%[]#+@)*!#)*!{$#*$%}[(&@$&_@($$]]]_[+(#@}&_}+]@$#_+](}^})!@@}@)
}^]^]*}]+&(@@!!](*@#(++*)]!(^$})&_^@+]{#_@*%^[$[%&_%@%_![&&]&_@*#_}[{{])^$[_$_&_
@%%[@#[@_[&+]}[+)!_#_+++%)[@%$(&$[{#@(}$*![#^#{}_)[$^_$${_@&}*![#*#_+%[@{*^$){)#
#%}]{+((*^]+{})&#$!#(*%({_!^*[{%@_&#){![&]@$#[#(!{*#^*%)]!%(#]%${*_^{+}(@}{_^(](
_+!_)^&}!#([(+&[@])[_(]@]@&@{#@(%[@+[^@%@+]*_[{]$[_(_@[!]]^%+@#(@$}]@(^**+]%^)^(
@}^[]@@[@[@}^(^!]%*_]&$!!^^#*[#*[*_}+[$#(_#%@](+[^+}%{_*#]+*(]}!$(%@%#^)}]_&]{${
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$^!@@}_())%(&$%]]{{{@+!&%@(^!+*{%[*[!]){(#$@)(^{]%[&*(&!{&}!%*$)*]]$%(__[}_+&)!(
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+!$^]*!%^_$}$+!!&%_&){$%{((&^{{(&_&_]{^}@[$^+]}]^{@!^@_%_{^@*)+^*#$#!+*}#)}@(}!]
_*)}$**@}[^_&*^)*+#()]&{{]*+#${@&}#)$[]_+(^_@^][]_)*^*+_!{&$##]((](}}{[!$#_{&{){
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())&#@*[#}+#^}#%!![#&*}^{^(({+#*[!{!}){(!*@!+@[_(*^+*]$]+@+*_##)&)^(@$^]e@][#&)(
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]*!*}}*_(+&%{&#$&+*_]#+#]!&*@}$%)!})@&)*}#(@}!^(]^@}]#&%)![^!$*)&_]^%{{}(!)_&{_{
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@)]}!)$^%+%&_#+]&&_!(}+^*#)$%%^+&%^_]@*%^^_#]%{%[&(*_(%(*{^@[@&+!@&[+[++$})$!*}+
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@)[($}&+&$}}%[)@[{^_+%+[)[^[*{{^#]*__$^%^}#]}*{^+{!@#(+*]$)^(*!^^]^)[}@{%(($(+_#
*){@}]+}&)[(^^(*$&_$@#[#_$)^_()}{[]]{^@*)_!{@)(!))^_+_]{+_}$%(@#+{*+%@!${*&&@${]
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[)!^){!+@%(^_)[]@(]+&^_@[*(_@^*##*&*$!{^{!&#@(%&(@!]^[]({!+(]+^}&&${{]^!+#^*#&%{
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%]^}!_{}!)%!{)%+[___]]$](*^)))*^${)^^$_&[)&}*}($#{#^^#_@[[+[^{{[*__{%$^$}*{{+#{{
$%&+])(^^*$(}#*[$_#%$}!!^%&($}!!(]*{!}(!_&{##[{!+]&#(((%@]!($#%$^@(%))@_)@}*})+[
^]^(}${[(^!*{}!(_[{^*&{&})]]&}![}$!}*+])}[@(_&)[}*@_$_{%[+&#(*_#+)^)!&@!%($!}#[%
[@&[+^@$}&{]{)+^&^#{{}@!}{^{%}#)@!%([$(_!([+({)@^(#@!)$[_&](!}@$*$@!(#[$+!@][}_*
_^#&{)][@*!])^))+@+$%[%&}(^(!@}([#+***_*[^)$((^*(}([!]@##@$%^[{+^**{&[&@@##)#(@#
{+_**$%(#$&^$^]__*)%$*+{#+()[%[(}#]}*&$^%]{}%&(_([]&_}&}*@}#{((&!@!{#+__#*#))&[(
&[[*+]&{[$_}*#@!{]}__!+!!@$@#}+@!%^(^_^{}]+^({)*[**%!@[^)#$%{&[[_!(^(}}{!}!)@###
(#*+!#@&+{_{&%&$}+}]!@*$#&&({(^(_#{+$*+_)}^&$##&+$]$(&$}!}!](%#+^]*$%]%)}^}])#_!
@)*%_$^]$@*&(()&+)_[*#@&{+&}^#*+*{[)[^$+#**^^(^]}][$_+]*&&)@}{&]](_]_]^&&}%@+}[$
(+[%*^!#)#+(}!)[!^{&[*[($%{+([#[[@&})$]@{^^#!$]_}!{*{*{![@$_@]+*{}[!#%@}]&#{*%{}
!!(}&+%%{%{%({!_(%_]@}+^%@_!*[&{)$%&)@]{+&_+%&^_}([_@@)$^!^}{#[$@{(_]{))*$(#!(+%
&!+]}]__^&@)^[}]!*#@)%!(%#)_*#}%*__}_+(**{[+)]%${+@^(]$()@([[{(]}$)}#!&+{%@$+{{^
&}_!$_+$_($*{!*#&$]%_)[({}+^}[@#+**%*}#[([@$][)[&+_%!!}@@}*!@%(#[}&$#]&{+^{#_*^]
@_%(]${&*&#^#_@^{%*^%$^+*(%}[!!)(!%_}!@@#&+)^^{##%&}$+*+!#}+%{%#)^@%[{}^%#+(+$[@
#%}+%%#_&}++)}{]%#]*)]+)]+^(*({}+}@_&&!![)^_$[][@*]!%@(@*+*_]{&}%*^)+[{!_%$+%[*+
&&&!#[_]])$}%[_*!)@}[{*]%!@!_))]*%#^{{+]%]]*@%{%@+^[@}(^#%&**+)*^*[)[)%$[^#@^&+#
+++}%_@@[(}[*%$#}^#+&}+%%)$+_{^(#%*{&*%(*)+([!@)*#[&!@(&_$@%$%]^^&{]@$}[({$((^}!
&%+{#_]{{{^[*_^#^!*@}_}*}+*&(@!^#%)@%[#(&$!&%)][#{*$${(+}($*(*(*&*$^{{@^]{]&*@!)
%&)**+]][!+@]*})(@)_]@{($!%+%%]_)(@{+!*__@[(%&&^]@([@[&%$+(}{{&]]+*}($+&}%(!%*@!
(^)${)%)]]$*!++[_(_($}(@++[^{]%{{!%#!%+*$)_&@&__#([__$[&^!}%$)(]}@+]+_@*]%%{&(@@
$_[(![!)+@[]][]($@%*(}$_(!^^)]^%){{(_#)*#][}$([)[]!_![![@}}}!%^^!}!*#%&{$&!#_!}#
[^{%{$^+@}&_}*_]%(}@*^}]^@*_^&&)^^}[}@]+^*%({*$^{+])_^%*#!${!#+$](+&]{@_+&[!()@{
@)[[){&(#[#{&@&(_]@##])}#&%*)_&!(}_^^$_)))}}}+&&$%&]}}$)![&{#_!(!![[![&(+{{++!}}
%}^%%#)))!}^)}%{*@*_{}*^{&(^+$}!@$_^}{$*^#)(@^]_@@%)@_[}&[)++)$&]+!}![#]@$%@]]!@
^()&++$(_[!^#[&@*@@(){#%@((!(%@(#[&+*%+(^%{{*$%#!(#^{(&*_}!^#%({*_#)%+#{$##{!$]*
{+_!{+^$!_&}%(]+}_}@**(&}(+@^%#+!#{#*@@{+!)}^{^+#(!&}[+*%+@}_+&+&]&+(+)_)((!{%*)
([)_+_[]&}}[{{+[)]!%{&&__&$+${_+#]_$}!&#%[@^^]!)#)_+#$]((*@+#$#)@[)*{[}(()$(@{*[
]}#*_+{)%[+!^{+{(&#_[_}_!{!*{[[)]][$[}*@[$*&))+$[&]@)[*}+^___%!]()^)&!@&[*@_+{}&
[{]$#{!^]^$#+*$}#*)(]!@^&#){][$)}!+%^)@#&!%(+^^($(%}^+[*)#+{%!))}(*&]__})][_))}#
())#&##{]$#$](&$%&&$)^{(@%)$%()#)&&*{]&^^+%$##%{!(_$(**&(_]+{%[%$!_){$*@@++]&^$(
@+{+&%]$)+@({$(+{!*#(%)]+[}){]]#)*[]%&{+)$){!&$]+^++_@]#%)[&&^%]#@#@)]@}%$[_*@%)
[&*^*})@(!{&^#!([%@_![{)+)$}_+)%&^#@#$$}))^&)}({+*&_()&@]$^#(&&{){)_[}{@(}#)!)%&
({+$[!#()[]%{$_*]*^%&]@{^@{)}}_^}@!^*)_[([{}]{*#{]&}}[$_[}!%%&_{{!$[}&[[@#[&_$()
*_$+)&}*){${}!]+%[{{!+)+{!&]$!}{_]&)!!^+){&*#{@!##_(^%^$([!+&+($&)##[&[^_{##{(**
{{)#*%@*[(^(}!%}@*}@+]^_}&&&}&{[$(@[#*+%[&%{$$**]]%(!$+$!]^+[^_(&*{#_^%[[#+{]#_[
*}]#)!%!_[})^%*@{!{$)*_+$$*}%(&]%^+$@!&{[]}**})}#}[#{%{$#@##(])&)((${^]^[%^&(!_&
{@((&@&)]!&{}@#])$($}#}@)#[+$^{%%&*]&_!+{$+[*{()_&&(}%[})}!}(}[!%@$#!*(^^![+(^@{
(+]]@{++#)@@%(!&_#@^$*%^)*](^}#]@]}]@++*^+$_+]^_][]@^#$^&!_+!(^+((&@^@_^@)$[#!)*
$)_#]*^{@_*[}@}*@@^+**+[[)**{!)!{##[(*}{)+@{}}{]+!*+&*&)_^&{*+@[*_#{)#(}_*]%{+!%
(}_%$#)^*&+[([@*!!{@*[{%@[__)&*&@{__+_}[_#{]!@*%(^&^_$_+[([(($@)])]))%_{(^@!{!#@
#*%%[#&#[+)%__]{++*)]}![[_%+__{${}%!}+!!)}*)_+!#%^}[!)[@[]@@_(@&&*]^_{+[)}@#{#*{
*%!%@{$%!_^+&]+@{$)!&_}_}&!}#)#[$&_&&_)*({({$[$)]]%#^{^%}}^%#]&+^}[!&_[[[(&{@+&^
_()%@#@{%_({${*!)(*+$*!!+$&&]{^^!(#}@[&@&[}^#)]+{)__@_[+]%$)]}$[([^{)%&)@[+]!_!+
_#$))}!+&&#(^[^(}%(%%$%+}{$^^)&^[@}#$]{!}+*}]{_}}*(*@]}#+{}@@!$(}])%+^!#@(_^(@[(
_#}$[^[@^+_&}*#$}%^)(#*}%_+]@_%]%&&()[^(}[*[}#@(%%$}]_)^(!#%]#@(#+!#{#$]^!}))_]*
]+%^+%))]+%$]+!%@[#@[@@[*#!+$#}}*#()$_*$[^}+)@#^^$(^+)^@%](!+)^[#!#_*{^^]&[_[_+}
$]%@^+!##}*(*)&([]+]##%$)+$_^%^@&((+@&)%}${#&$!!($#&^](^^{{(&+]_]@&*#_^+#!(}]$*&
_+@#[})]])[((#@&]!&]*&{*&#_[#(]{(}!]_+@[{^+{{!)*{!}]@@^#*{*({(%#(@@(]{%]!@@+%!!*
%(!{&^%%&$(!#@{+*#+*{]!%&)%*]*#$]()
]!{][@$}@)$__*_]}^(#*!#!_!**@{(&![]$_+_%^#_!%!$&@](!%%((%[#]&&}_{]+[+*##])(]%^(+
#(_}((]@}#$^_})%#&&((!^![^}+!}{$(%*{*$@%][)[[%&^[{](&+^*!!!([__[{^}&%+&^(*&])*$&
$#_}*!(+([_&%{^&[([%]}*^{{([@+@]@*&@_!]_+([(#&!]]#$$#]@#{_]][_{@]{*))$({%}_![@$]
#)+[])%]$+^^(}^!([&{)!#}#}}#!}[]]{[++&!)]#]]%^%_&_}!&&$@#&!#}&+]$)^_^*$]!$)}&{#)
+[+!_${^](+([&_%&$)#{$%#[%%][($()+!*_(*&!}%@}@%_#+%{%&*$]*{$(}}{)}]%))$}*^$]$(^^
!&*[^]]&#%&%!_+#&}_#}_]&^+@]%(!+!_*](@]}__+@%+^!&[@[)@(!*[%}^$!$(]!^_])!&_!!_[{*
(+*]_}%+(%[{)]({#[+$&&[^@{&#!@%)!+&}$@+@[+&_*!$(+#*%!+$@{{^**{)(]*$(}+(#+^}%@%^^
!$%}$$}+@^$$%{}{#!(%[]$!*}+(]!%{(^{&^{$[$)]&&^+{+%!#[([%^!{]]#^@!{#(&]@_$*_&!%(!
+_+}%@#{_}^#*)%*(*}*![}[%_[[^@$&%)([*{_${)$^^_!+}{)!)@_[*$_}*}$#[+}{]*+!^])}&{+#
+!@!^*@}!}&{]*#^@}_[)}#@%!_*#!$}!)[(${+^&!{[&&&*[{}+*+(#+_[}{$$)#([*!)%@^%_]#%$$
(++^+&)}*_&%@#[^^+^&@_%]+$%$#$*)@!(]*+@]}%$$}$(#$&^(%[*([&]*^&}(!#{&_}^(*{(+$#}}
(&_+][&_@)$&$&^[_$(++$^}]&^^*(+*!&#_$]*+@!]+{%^_*+!&}@$!#^{+_#([+@(((*+)[()__}(^
@)](+[$*_(]*$[[&@^(_*#(*&!^{+]_%)_)^[}@]#]%#@+^+[%{_*{!)}#$@#)_$!_(!*+#}%%}+$&$[
%&]!{{%*_!*}&)}$**_{*!#%[[#]!](^^$![#[[*}%(_#^^!%))!_^@)@**@}}(%%{#*%@(((]^%^![&
}!)$]&($)@](+(#{$)_%^%_^^#][{*[)%}+[##(##^{$}^]#&(&*{)%)&][&{]&#]}[[^^&[!#}${@_(
#@}&$[[%]_&$+)$!%{(}$^$}*
"""
cnt = Counter(chars)
print "-".join(c for c,n in cnt.most_common() if n < 2)
open_next_level("equality")
| 83.162206
| 91
| 0.061216
| 43
| 102,539
| 3.72093
| 0.744186
| 0.1
| 0.1625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00001
| 0.046919
| 102,539
| 1,232
| 92
| 83.229708
| 0.001627
| 0.000195
| 0
| 0
| 0
| 0.008972
| 0.998186
| 0.95151
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.001631
| null | null | 0.000816
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1d55110c858d8042572298df65832876eb63e181
| 147
|
py
|
Python
|
signalrcore/messages/handshake/request.py
|
smiddle/signalrcore
|
7b5f0fb6913ba2dacbe514724b62f1eab7097d91
|
[
"MIT"
] | null | null | null |
signalrcore/messages/handshake/request.py
|
smiddle/signalrcore
|
7b5f0fb6913ba2dacbe514724b62f1eab7097d91
|
[
"MIT"
] | null | null | null |
signalrcore/messages/handshake/request.py
|
smiddle/signalrcore
|
7b5f0fb6913ba2dacbe514724b62f1eab7097d91
|
[
"MIT"
] | null | null | null |
class HandshakeRequestMessage(object):
def __init__(self, protocol, version):
self.protocol = protocol
self.version = version
| 24.5
| 42
| 0.693878
| 14
| 147
| 7
| 0.571429
| 0.244898
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.22449
| 147
| 5
| 43
| 29.4
| 0.859649
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1d5760db6da13de8d2f66a8ca2f22efde494d6c4
| 209
|
py
|
Python
|
django_auth2/tests/test_register.py
|
Nick1994209/django-auth2
|
b8678f06ade985d2b5b0606e6e49bd9d2a49931a
|
[
"MIT"
] | null | null | null |
django_auth2/tests/test_register.py
|
Nick1994209/django-auth2
|
b8678f06ade985d2b5b0606e6e49bd9d2a49931a
|
[
"MIT"
] | null | null | null |
django_auth2/tests/test_register.py
|
Nick1994209/django-auth2
|
b8678f06ade985d2b5b0606e6e49bd9d2a49931a
|
[
"MIT"
] | null | null | null |
from django.test import TestCase
from django.urls import reverse
from django_auth2.tests.base import BaseWithoutLoginMixin
class RegisterTest(BaseWithoutLoginMixin, TestCase):
url = reverse('register')
| 23.222222
| 57
| 0.818182
| 24
| 209
| 7.083333
| 0.625
| 0.176471
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005435
| 0.119617
| 209
| 8
| 58
| 26.125
| 0.918478
| 0
| 0
| 0
| 0
| 0
| 0.038278
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1d5c933ac1d44b3ef420b9bb5dd64baf5963b5cd
| 1,844
|
py
|
Python
|
ghstack/github.py
|
amartani/ghstack
|
1427ed781b9af3e288f36f2921c8fefa2a12b746
|
[
"MIT"
] | 1
|
2020-06-07T02:30:21.000Z
|
2020-06-07T02:30:21.000Z
|
ghstack/github.py
|
amartani/ghstack
|
1427ed781b9af3e288f36f2921c8fefa2a12b746
|
[
"MIT"
] | null | null | null |
ghstack/github.py
|
amartani/ghstack
|
1427ed781b9af3e288f36f2921c8fefa2a12b746
|
[
"MIT"
] | 1
|
2021-11-28T23:54:33.000Z
|
2021-11-28T23:54:33.000Z
|
#!/usr/bin/env python3
from abc import ABCMeta, abstractmethod
from typing import Any, Sequence
class GitHubEndpoint(metaclass=ABCMeta):
@abstractmethod
def graphql(self, query: str, **kwargs: Any) -> Any:
"""
Args:
query: string GraphQL query to execute
**kwargs: values for variables in the graphql query
Returns: parsed JSON response
"""
pass
# This hook function should be invoked when a 'git push' to GitHub
# occurs. This is used by testing to simulate actions GitHub
# takes upon branch push, more conveniently than setting up
# a branch hook on the repository and receiving events from it.
# TODO: generalize to any repo
@abstractmethod
def push_hook(self, refName: Sequence[str]) -> None:
pass
def get(self, path: str, **kwargs: Any) -> Any:
"""
Send a GET request to endpoint 'path'.
Returns: parsed JSON response
"""
return self.rest('get', path, **kwargs)
def post(self, path: str, **kwargs: Any) -> Any:
"""
Send a POST request to endpoint 'path'.
Returns: parsed JSON response
"""
return self.rest('post', path, **kwargs)
def patch(self, path: str, **kwargs: Any) -> Any:
"""
Send a PATCH request to endpoint 'path'.
Returns: parsed JSON response
"""
return self.rest('patch', path, **kwargs)
@abstractmethod
def rest(self, method: str, path: str, **kwargs: Any) -> Any:
"""
Send a 'method' request to endpoint 'path'.
Args:
method: 'GET', 'POST', etc.
path: relative URL path to access on endpoint
**kwargs: dictionary of JSON payload to send
Returns: parsed JSON response
"""
pass
| 28.369231
| 70
| 0.589479
| 222
| 1,844
| 4.891892
| 0.400901
| 0.041436
| 0.055249
| 0.069061
| 0.3186
| 0.265193
| 0.265193
| 0.243094
| 0.165746
| 0.165746
| 0
| 0.000786
| 0.310195
| 1,844
| 64
| 71
| 28.8125
| 0.852987
| 0.464751
| 0
| 0.333333
| 0
| 0
| 0.015424
| 0
| 0
| 0
| 0
| 0.015625
| 0
| 1
| 0.333333
| false
| 0.166667
| 0.111111
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
1d7cf2ae03ad36e4255a522e527c21c4daada98e
| 49
|
py
|
Python
|
text/_cascade/element/shape.py
|
jedhsu/text
|
8525b602d304ac571a629104c48703443244545c
|
[
"Apache-2.0"
] | null | null | null |
text/_cascade/element/shape.py
|
jedhsu/text
|
8525b602d304ac571a629104c48703443244545c
|
[
"Apache-2.0"
] | null | null | null |
text/_cascade/element/shape.py
|
jedhsu/text
|
8525b602d304ac571a629104c48703443244545c
|
[
"Apache-2.0"
] | null | null | null |
class SvgHyperlink(SvgElement):
symbol = "a"
| 16.333333
| 31
| 0.693878
| 5
| 49
| 6.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.183673
| 49
| 2
| 32
| 24.5
| 0.85
| 0
| 0
| 0
| 0
| 0
| 0.020408
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 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
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1d8564d66baae893f98b6ae0c5987e8ab86bae64
| 190
|
py
|
Python
|
githubcopy.py
|
bsoyka/passwd
|
dba6a9f67bb12f9c713a9a211ac7696ffe3e470f
|
[
"MIT"
] | 1
|
2020-09-09T17:40:53.000Z
|
2020-09-09T17:40:53.000Z
|
githubcopy.py
|
echang97/passwd
|
5ea803095ee9d118a24100c19911e8d4a281cb16
|
[
"MIT"
] | 19
|
2020-07-07T03:48:48.000Z
|
2021-08-30T08:34:34.000Z
|
githubcopy.py
|
bsoyka/passwd
|
dba6a9f67bb12f9c713a9a211ac7696ffe3e470f
|
[
"MIT"
] | 4
|
2020-07-07T05:20:51.000Z
|
2021-09-01T10:20:04.000Z
|
from shutil import copytree, rmtree
from pathlib import Path
BUILT_HTML = Path(__file__).parent / "build/html"
DOCS = Path(__file__).parent / "docs"
rmtree(DOCS)
copytree(BUILT_HTML, DOCS)
| 23.75
| 49
| 0.768421
| 27
| 190
| 5.037037
| 0.481481
| 0.132353
| 0.205882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121053
| 190
| 8
| 50
| 23.75
| 0.814371
| 0
| 0
| 0
| 0
| 0
| 0.073298
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1d9ca90081811ca73cf80f0521e497e89fb7a6dc
| 657
|
py
|
Python
|
allauth/socialaccount/providers/linkedin/provider.py
|
rawjam/django-allauth
|
2daa33178aa1ab749581c494f4c39e1c72ad5c7b
|
[
"MIT"
] | null | null | null |
allauth/socialaccount/providers/linkedin/provider.py
|
rawjam/django-allauth
|
2daa33178aa1ab749581c494f4c39e1c72ad5c7b
|
[
"MIT"
] | null | null | null |
allauth/socialaccount/providers/linkedin/provider.py
|
rawjam/django-allauth
|
2daa33178aa1ab749581c494f4c39e1c72ad5c7b
|
[
"MIT"
] | null | null | null |
from allauth.socialaccount import providers
from allauth.socialaccount.providers.base import ProviderAccount
from allauth.socialaccount.providers.oauth.provider import OAuthProvider
from allauth.socialaccount import app_settings
class LinkedInAccount(ProviderAccount):
pass
class LinkedInProvider(OAuthProvider):
id = 'linkedin'
name = 'LinkedIn'
package = 'allauth.socialaccount.providers.linkedin'
account_class = LinkedInAccount
def get_default_scope(self):
scope = []
if app_settings.QUERY_EMAIL:
scope.append('r_emailaddress')
return scope
providers.registry.register(LinkedInProvider)
| 27.375
| 72
| 0.764079
| 66
| 657
| 7.5
| 0.530303
| 0.20202
| 0.193939
| 0.121212
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.167428
| 657
| 23
| 73
| 28.565217
| 0.904936
| 0
| 0
| 0
| 0
| 0
| 0.106545
| 0.060883
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0.058824
| 0.235294
| 0
| 0.705882
| 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
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
1da27188f614c75c419a767268479db03756a4a2
| 243
|
py
|
Python
|
pysimplevcs/__init__.py
|
rcook/pyvcs
|
e4c87456ecf95d5fee9859c8f8e8fe41d788fbe2
|
[
"MIT"
] | null | null | null |
pysimplevcs/__init__.py
|
rcook/pyvcs
|
e4c87456ecf95d5fee9859c8f8e8fe41d788fbe2
|
[
"MIT"
] | 2
|
2017-02-22T05:07:29.000Z
|
2017-09-11T22:29:32.000Z
|
pysimplevcs/__init__.py
|
rcook/pyvcs
|
e4c87456ecf95d5fee9859c8f8e8fe41d788fbe2
|
[
"MIT"
] | null | null | null |
############################################################
#
# pysimplevcs
# Copyright (C) 2017, Richard Cook
# Released under MIT License
# https://github.com/rcook/pysimplevcs
#
############################################################
| 27
| 60
| 0.366255
| 15
| 243
| 5.933333
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017857
| 0.078189
| 243
| 8
| 61
| 30.375
| 0.379464
| 0.444444
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d5506f244683c716b1a1259192a96f0b33c32e5e
| 38
|
py
|
Python
|
tests/config_sample.py
|
romanchyla/rutils
|
62df34ea47063921fa310889642af5096df5e182
|
[
"MIT"
] | null | null | null |
tests/config_sample.py
|
romanchyla/rutils
|
62df34ea47063921fa310889642af5096df5e182
|
[
"MIT"
] | 36
|
2017-06-23T20:29:22.000Z
|
2020-03-18T15:04:27.000Z
|
tests/config_sample.py
|
romanchyla/rutils
|
62df34ea47063921fa310889642af5096df5e182
|
[
"MIT"
] | 12
|
2017-06-21T18:10:57.000Z
|
2021-11-01T19:13:32.000Z
|
FOO = {'bar': ['baz', 1]}
foo = 'bar'
| 12.666667
| 25
| 0.421053
| 6
| 38
| 2.666667
| 0.666667
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033333
| 0.210526
| 38
| 3
| 26
| 12.666667
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0.236842
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d5550037ad59b816281f18bc7e1c952e455a7f91
| 4,043
|
py
|
Python
|
tests/curriculum/verbs_with_dynamic_prepositions_curriculum_test.py
|
isi-vista/adam
|
43542c4486af7533938e77e7191eae630541a891
|
[
"MIT"
] | 8
|
2019-07-02T20:29:31.000Z
|
2022-01-03T18:20:41.000Z
|
tests/curriculum/verbs_with_dynamic_prepositions_curriculum_test.py
|
Tubbz-alt/adam
|
91f392f2529a98cd50c095a18769ae4b55ce4292
|
[
"MIT"
] | 1,011
|
2019-07-02T18:00:48.000Z
|
2022-03-25T14:56:32.000Z
|
tests/curriculum/verbs_with_dynamic_prepositions_curriculum_test.py
|
Tubbz-alt/adam
|
91f392f2529a98cd50c095a18769ae4b55ce4292
|
[
"MIT"
] | 4
|
2020-08-05T15:36:55.000Z
|
2022-01-12T17:16:28.000Z
|
from adam.curriculum.verbs_with_dynamic_prepositions_curriculum import (
_make_push_with_prepositions,
_make_go_with_prepositions,
_make_throw_with_prepositions,
_make_roll_with_prepositions,
_make_sit_with_prepositions,
_make_take_with_prepositions,
_make_fall_with_prepositions,
_make_put_with_prepositions,
_make_move_with_prepositions,
_make_jump_with_prepositions,
_make_fly_with_prepositions,
_make_come_with_prepositions,
)
from tests.curriculum.phase1_curriculum_test import curriculum_test
from adam.language_specific.chinese.chinese_language_generator import (
GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR,
)
from adam.language_specific.english.english_language_generator import (
GAILA_PHASE_1_LANGUAGE_GENERATOR,
)
import pytest
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_push(language_generator):
curriculum_test(_make_push_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_go(language_generator):
for boolean in [True, False]:
curriculum_test(
_make_go_with_prepositions(None, None, language_generator, boolean)
)
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_throw(language_generator):
for boolean in [True, False]:
curriculum_test(
_make_throw_with_prepositions(None, None, language_generator, boolean)
)
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_roll(language_generator):
curriculum_test(_make_roll_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_sit(language_generator):
curriculum_test(_make_sit_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_take(language_generator):
curriculum_test(_make_take_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_fall(language_generator):
curriculum_test(_make_fall_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_put(language_generator):
curriculum_test(_make_put_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_move(language_generator):
curriculum_test(_make_move_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_jump(language_generator):
curriculum_test(_make_jump_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_fly(language_generator):
curriculum_test(_make_fly_with_prepositions(None, None, language_generator))
@pytest.mark.parametrize(
"language_generator",
[GAILA_PHASE_1_CHINESE_LANGUAGE_GENERATOR, GAILA_PHASE_1_LANGUAGE_GENERATOR],
)
def test_make_come(language_generator):
curriculum_test(_make_come_with_prepositions(None, None, language_generator))
| 32.344
| 82
| 0.816226
| 493
| 4,043
| 6.089249
| 0.085193
| 0.362425
| 0.09527
| 0.215856
| 0.806462
| 0.684211
| 0.639907
| 0.639907
| 0.639907
| 0.639907
| 0
| 0.007517
| 0.111551
| 4,043
| 124
| 83
| 32.604839
| 0.828229
| 0
| 0
| 0.4
| 0
| 0
| 0.053426
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.12
| false
| 0
| 0.05
| 0
| 0.17
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d55c7fe4e79956480912a7efcc8970201d1b1dec
| 64
|
py
|
Python
|
runoob/basic_tutorial/template.py
|
zeroonegit/python
|
919f8bb14ae91e37e42ff08192df24b60135596f
|
[
"MIT"
] | 1
|
2017-03-30T00:43:40.000Z
|
2017-03-30T00:43:40.000Z
|
runoob/basic_tutorial/template.py
|
QuinceySun/Python
|
919f8bb14ae91e37e42ff08192df24b60135596f
|
[
"MIT"
] | null | null | null |
runoob/basic_tutorial/template.py
|
QuinceySun/Python
|
919f8bb14ae91e37e42ff08192df24b60135596f
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Filename: .py
| 12.8
| 23
| 0.5625
| 9
| 64
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037736
| 0.171875
| 64
| 4
| 24
| 16
| 0.641509
| 0.890625
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d56290df4c7586b261da550a6754104f57d4b6e1
| 301
|
py
|
Python
|
boot.py
|
pramasoul/pyboard-music-detector
|
dd1a0b69950af6d781c1089087acbb69fbdc1e25
|
[
"MIT"
] | null | null | null |
boot.py
|
pramasoul/pyboard-music-detector
|
dd1a0b69950af6d781c1089087acbb69fbdc1e25
|
[
"MIT"
] | null | null | null |
boot.py
|
pramasoul/pyboard-music-detector
|
dd1a0b69950af6d781c1089087acbb69fbdc1e25
|
[
"MIT"
] | null | null | null |
# boot.py -- run on boot-up
# can run arbitrary Python, but best to keep it minimal
import machine
import pyb
pyb.main('simp.py') # main script to run after this one
#pyb.usb_mode('CDC+MSC') # act as a serial and a storage device
#pyb.usb_mode('CDC+HID') # act as a serial device and a mouse
| 33.444444
| 64
| 0.704319
| 57
| 301
| 3.684211
| 0.631579
| 0.057143
| 0.095238
| 0.12381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.196013
| 301
| 8
| 65
| 37.625
| 0.867769
| 0.774086
| 0
| 0
| 0
| 0
| 0.134615
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
638394659d3edaadce06d6dbfbeee4a9d833ccc3
| 284
|
py
|
Python
|
src/snake.py
|
JoelLefkowitz/convert-case
|
192f2153f7f6327ad682a52ed3adb888ac2e3bba
|
[
"MIT"
] | 2
|
2021-09-09T22:55:08.000Z
|
2021-11-12T00:41:09.000Z
|
src/snake.py
|
JoelLefkowitz/convert-case
|
192f2153f7f6327ad682a52ed3adb888ac2e3bba
|
[
"MIT"
] | null | null | null |
src/snake.py
|
JoelLefkowitz/convert-case
|
192f2153f7f6327ad682a52ed3adb888ac2e3bba
|
[
"MIT"
] | null | null | null |
from .definitions import SNAKE
def is_snake_case(string: str) -> bool:
return SNAKE.match(string) is not None
def lower_to_snake_case(lower: str) -> str:
return "_".join(lower.split(" "))
def snake_to_lower_case(snake: str) -> str:
return " ".join(snake.split("_"))
| 20.285714
| 43
| 0.683099
| 42
| 284
| 4.380952
| 0.428571
| 0.097826
| 0.130435
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169014
| 284
| 13
| 44
| 21.846154
| 0.779661
| 0
| 0
| 0
| 0
| 0
| 0.014085
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0
| 0.142857
| 0.428571
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
63b1ca6ec36f9fdd097d4cda4c59b793f4cfc02e
| 465
|
py
|
Python
|
lex2/matcher/__init__.py
|
DeltaRazero/liblexer2-python3
|
43a1a63ee005da8a6936665cb27f4ced8158ed6c
|
[
"Zlib"
] | 1
|
2020-10-31T13:14:45.000Z
|
2020-10-31T13:14:45.000Z
|
lex2/matcher/__init__.py
|
DeltaRazero/liblexer2-python3
|
43a1a63ee005da8a6936665cb27f4ced8158ed6c
|
[
"Zlib"
] | 4
|
2020-10-28T16:21:22.000Z
|
2020-11-09T21:02:33.000Z
|
lex2/matcher/__init__.py
|
DeltaRazero/liblexer2-python3
|
43a1a63ee005da8a6936665cb27f4ced8158ed6c
|
[
"Zlib"
] | null | null | null |
"""Components of matcher implementations."""
'''
zlib License
(C) 2020-2022 DeltaRazero
All rights reserved.
'''
# ***************************************************************************************
from lex2 import _util
# ***************************************************************************************
# Core
from ._base_matcher import BaseMatcher
# Implementations
if (_util.deps.is_module_installed("re")):
from ._std_re import ReMatcher
| 21.136364
| 89
| 0.455914
| 36
| 465
| 5.666667
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021531
| 0.101075
| 465
| 21
| 90
| 22.142857
| 0.466507
| 0.507527
| 0
| 0
| 0
| 0
| 0.013158
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
63b53984cf44214a52bff1ca4eaad17e4c606edc
| 192
|
py
|
Python
|
Ago-Dic-2019/IvanMedina/pythonCrash/oneMillon.py
|
Arbupa/DAS_Sistemas
|
52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1
|
[
"MIT"
] | 41
|
2017-09-26T09:36:32.000Z
|
2022-03-19T18:05:25.000Z
|
Ago-Dic-2019/IvanMedina/pythonCrash/oneMillon.py
|
Arbupa/DAS_Sistemas
|
52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1
|
[
"MIT"
] | 67
|
2017-09-11T05:06:12.000Z
|
2022-02-14T04:44:04.000Z
|
Ago-Dic-2019/IvanMedina/pythonCrash/oneMillon.py
|
Arbupa/DAS_Sistemas
|
52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1
|
[
"MIT"
] | 210
|
2017-09-01T00:10:08.000Z
|
2022-03-19T18:05:12.000Z
|
'''
Juan Ivan Medina Martinez
4.4
'''
from countingToTwenty import makeList
from countingToTwenty import printList
if __name__ == "__main__":
list=makeList(1000000)
printList(list)
| 14.769231
| 38
| 0.744792
| 22
| 192
| 6.136364
| 0.681818
| 0.296296
| 0.385185
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05625
| 0.166667
| 192
| 13
| 39
| 14.769231
| 0.7875
| 0.151042
| 0
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| 0
| 0
| 0.051282
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0.4
| 1
| 0
| 0
| null | 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
63c79a89e15fbe158937ef017fd8c340cc706bb0
| 614
|
py
|
Python
|
src/models/tracking/base.py
|
maurony/ts-vrae
|
5b4a61b5dd0bc259ffe68223877949ef4ebfa5e3
|
[
"MIT"
] | 1
|
2020-02-17T07:49:22.000Z
|
2020-02-17T07:49:22.000Z
|
src/models/tracking/base.py
|
maurony/ts-vrae
|
5b4a61b5dd0bc259ffe68223877949ef4ebfa5e3
|
[
"MIT"
] | null | null | null |
src/models/tracking/base.py
|
maurony/ts-vrae
|
5b4a61b5dd0bc259ffe68223877949ef4ebfa5e3
|
[
"MIT"
] | 1
|
2021-07-27T09:16:26.000Z
|
2021-07-27T09:16:26.000Z
|
from abc import ABC, abstractmethod
class MLTracker(ABC):
"""Base class for logging ml experiments
"""
@abstractmethod
def __init__(self):
"""constructor
"""
pass
@abstractmethod
def start_run(self):
"""Indicate start of run
"""
pass
@abstractmethod
def log(self):
"""Log a metric of parameter
"""
pass
@abstractmethod
def save_model(self):
"""Save trained model
"""
pass
@abstractmethod
def end_run(self):
"""Indicate end of run
"""
pass
| 16.594595
| 44
| 0.526059
| 59
| 614
| 5.355932
| 0.474576
| 0.268987
| 0.265823
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.376222
| 614
| 36
| 45
| 17.055556
| 0.825065
| 0.288274
| 0
| 0.588235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.294118
| false
| 0.294118
| 0.058824
| 0
| 0.411765
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
891eb8cb4bf1441668946cf5ef14d12347106652
| 450
|
py
|
Python
|
hydra_plugins/gale_path/gale_path.py
|
benihime91/litcv
|
1da107e1dcf1f20d6da4ac3f126e22d409a7f92e
|
[
"Apache-2.0"
] | null | null | null |
hydra_plugins/gale_path/gale_path.py
|
benihime91/litcv
|
1da107e1dcf1f20d6da4ac3f126e22d409a7f92e
|
[
"Apache-2.0"
] | null | null | null |
hydra_plugins/gale_path/gale_path.py
|
benihime91/litcv
|
1da107e1dcf1f20d6da4ac3f126e22d409a7f92e
|
[
"Apache-2.0"
] | null | null | null |
from hydra.core.config_search_path import ConfigSearchPath
from hydra.plugins.search_path_plugin import SearchPathPlugin
class ClassyVisionPathPlugin(SearchPathPlugin):
def manipulate_search_path(self, search_path: ConfigSearchPath) -> None:
search_path.append(provider="gale", path="pkg://gale.conf")
search_path.prepend(provider="gale", path="pkg://references")
search_path.prepend(provider="gale", path="pkg://conf")
| 45
| 76
| 0.764444
| 53
| 450
| 6.301887
| 0.45283
| 0.209581
| 0.143713
| 0.170659
| 0.215569
| 0.215569
| 0.215569
| 0
| 0
| 0
| 0
| 0
| 0.115556
| 450
| 9
| 77
| 50
| 0.839196
| 0
| 0
| 0
| 0
| 0
| 0.117778
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.285714
| 0
| 0.571429
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
89274d0b16de03f491f37e1938fce7563bdb6a52
| 11,365
|
py
|
Python
|
cogs/utils/emoji_lookup.py
|
wpmjones/donationbot
|
dd2913df09b61d4fe4738fe9df14ff8bc4ec6f95
|
[
"MIT"
] | 10
|
2019-11-14T01:53:11.000Z
|
2021-02-25T01:38:55.000Z
|
cogs/utils/emoji_lookup.py
|
wpmjones/donationbot
|
dd2913df09b61d4fe4738fe9df14ff8bc4ec6f95
|
[
"MIT"
] | 4
|
2019-08-27T19:52:02.000Z
|
2019-10-14T19:22:20.000Z
|
cogs/utils/emoji_lookup.py
|
wpmjones/donationbot
|
dd2913df09b61d4fe4738fe9df14ff8bc4ec6f95
|
[
"MIT"
] | 9
|
2019-07-22T01:01:04.000Z
|
2022-02-07T07:32:09.000Z
|
emojis = \
{
29000000: "<:Unranked:601618883853680653>",
29000001: "<:BronzeLeagueIII:601611929311510528>",
29000002: "<:BronzeLeagueII:601611942850986014>",
29000003: "<:BronzeLeagueI:601611950228635648>",
29000004: "<:SilverLeagueIII:601611958067920906>",
29000005: "<:SilverLeagueII:601611965550428160>",
29000006: "<:SilverLeagueI:601611974849331222>",
29000007: "<:GoldLeagueIII:601611988992262144>",
29000008: "<:GoldLeagueII:601611996290613249>",
29000009: "<:GoldLeagueI:601612010492526592>",
29000010: "<:CrystalLeagueIII:601612021472952330>",
29000011: "<:CrystalLeagueII:601612033976434698>",
29000012: "<:CrystalLeagueI:601612045359775746>",
29000013: "<:MasterLeagueIII:601612064913621002>",
29000014: "<:MasterLeagueII:601612075474616399>",
29000015: "<:MasterLeagueI:601612085327036436>",
29000016: "<:ChampionLeagueIII:601612099226959892>",
29000017: "<:ChampionLeagueII:601612113345249290>",
29000018: "<:ChampionLeagueI:601612124447440912>",
29000019: "<:TitanLeagueIII:601612137491726374>",
29000020: "<:TitanLeagueII:601612148325744640>",
29000021: "<:TitanLeagueI:601612159327141888>",
29000022: "<:LegendLeague:601612163169255436>",
17: "<:clanbadgelv17:601613723630829568>",
13: "<:clanbadgelv13:601613734070321153>",
15: "<:clanbadgelv15:601613740550651944>",
16: "<:clanbadgelv16:601613754773405716>",
18: "<:clanbadgelv18:601613767582679051>",
19: "<:clanbadgelv19:601613781071822886>",
14: "<:clanbadgelv14:601613784393580563>",
12: "<:clanbadgelv12:601613795428663306>",
4: "<:clanbadgelv4:601613804396347392>",
10: "<:clanbadgelv10:601613814894559232>",
11: "<:clanbadgelv11:601613823929090049>",
3: "<:clanbadgelv3:601613825698955275>",
8: "<:clanbadgelv8:601613837526892544>",
7: "<:clanbadgelv7:601613849094782987>",
9: "<:clanbadgelv9:601615742248550400>",
1: "<:clanbadgelv1:601615752696430592>",
2: "<:clanbadgelv2:601615764805517324>",
6: "<:clanbadgelv6:601615768483790864>",
5: "<:clanbadgelv5:601615779309551633>",
}
number_emojis = \
{
48: "<:rcs48:569362943884656664>",
49: "<:rcs49:569362943951503386>",
47: "<:rcs47:569362944241172491>",
50: "<:rcs50:569362944312475676>",
45: "<:rcs45:569371105752514572>",
46: "<:rcs46:569371105874280459>",
42: "<:rcs42:569371105953972225>",
44: "<:rcs44:569371105966686210>",
37: "<:rcs37:569371106096447498>",
38: "<:rcs38:569371106142715904>",
36: "<:rcs36:569371106176270345>",
43: "<:rcs43:569371106205499402>",
40: "<:rcs40:569371106356756491>",
41: "<:rcs41:569371106373402650>",
39: "<:rcs39:569371106377596949>",
1: "<:rcs1:570030365146873858>",
3: "<:rcs3:570030366128340993>",
2: "<:rcs2:570030366186930219>",
9: "<:rcs9:570030366308564993>",
6: "<:rcs6:570030366400839701>",
4: "<:rcs4:570030366543577098>",
17: "<:rcs17:570030366581063711>",
13: "<:rcs13:570030366593908797>",
8: "<:rcs8:570030366648434698>",
5: "<:rcs5:570030366652366858>",
7: "<:rcs7:570030366656823296>",
27: "<:rcs27:570030366656823348>",
20: "<:rcs20:570030366669275163>",
12: "<:rcs12:570030366690377733>",
21: "<:rcs21:570030366690377779>",
10: "<:rcs10:570030366719606814>",
11: "<:rcs11:570030366740447280>",
14: "<:rcs14:570030366761680906>",
15: "<:rcs15:570030366820270081>",
16: "<:rcs16:570030366820270100>",
18: "<:rcs18:570030366824333332>",
19: "<:rcs19:570030366870470677>",
24: "<:rcs24:570030366979653645>",
22: "<:rcs22:570030367067865088>",
23: "<:rcs23:570030367084380160>",
30: "<:rcs30:570030367084380221>",
31: "<:rcs31:570030367084511233>",
26: "<:rcs26:570030367097094165>",
32: "<:rcs32:570030367109808158>",
34: "<:rcs34:570030367118065664>",
29: "<:rcs29:570030367118065684>",
33: "<:rcs33:570030367122128901>",
35: "<:rcs35:570030367134973962>",
25: "<:rcs25:570030367399084042>",
28: "<:rcs28:570030368422363136>",
55: "<:rcs55:569361240623939616>",
54: "<:rcs54:569361240695242753>",
58: "<:rcs58:569361240858558476>",
57: "<:rcs57:569361240858689573>",
53: "<:rcs53:569361240879661074>",
51: "<:rcs51:569361240904826881>",
52: "<:rcs52:569361240929861674>",
56: "<:rcs56:569361241060147211>",
59: "<:rcs59:569361241110216704>",
60: "<:rcs60:569359633181835265>",
61: "<:rcs61:602126479903424512>",
62: "<:rcs62:602126479652028437>",
63: "<:rcs63:602126480377511966>",
64: "<:rcs64:602126480134242315>",
65: "<:rcs65:602126479995699203>",
66: "<:rcs66:602126480394289172>",
67: "<:rcs67:602126480000155670>",
68: "<:rcs68:602126480390225930>",
69: "<:rcs69:602130664158003202>",
70: "<:rcs70:602130663981711385>",
71: "<:rcs71:602130664581758976>",
72: "<:rcs72:602130664447410196>",
73: "<:rcs73:602130664447279134>",
74: "<:rcs74:602130664581758987>",
75: "<:rcs75:602130664430501911>",
76: "<:rcs76:602132432959045642>",
77: "<:rcs77:602132433038737408>",
78: "<:rcs78:602132433105846272>",
79: "<:rcs79:602132433068097536>",
80: "<:rcs80:602132433286201344>",
81: "<:rcs81:602132433097457665>",
82: "<:rcs82:602132433038606357>",
83: "<:rcs83:602132433063903233>",
84: "<:rcs84:602132433055252480>",
85: "<:rcs85:602132433323950080>",
86: "<:rcs86:602132433063772180>",
87: "<:rcs87:602132433059708928>",
88: "<:rcs88:602132433097457664>",
89: "<:rcs89:602132432744873987>",
90: "<:rcs90:602132432946200588>",
91: "<:rcs91:602132433084612638>",
92: "<:rcs92:602132433051058206>",
93: "<:rcs93:602132433055514624>",
94: "<:rcs94:602132432707125289>",
95: "<:rcs95:602132433080549386>",
96: "<:rcs96:602132433374019584>",
97: "<:rcs97:602132433420419082>",
98: "<:rcs98:602132433030217751>",
99: "<:rcs99:602132433168498699>",
100: "<:rcs100:602132433311236096>",
}
townhall_emojis = \
{
11: "<:rcsth11:506863668449771526>",
3: "<:rcsth3:506863668563148811>",
10: "<:rcsth10:506863668689108994>",
9: "<:rcsth9:506863668722401290>",
6: "<:rcsth6:506863668726726664>",
4: "<:rcsth4:506863668731052032>",
7: "<:rcsth7:506863668743503872>",
12: "<:rcsth12:506863668802224138>",
5: "<:rcsth5:506863668819001345>",
8: "<:rcsth8:506863668827258919>"
}
troop_emojis = \
{
"babydragon": "<:babydragon:531661745031348235>",
"archer": "<:archer:531661745157046274>",
"archerqueen": "<:archerqueen:531661745266098200>",
"barbking": "<:barbking:531661752027447296>",
"hogrider": "<:hogrider:531661752090230785>",
"earthquake": "<:earthquake:531661752119853071>",
"smair1": "<:smair1:531661752660787201>",
"bomber": "<:bomber:531661752706793472>",
"barbarian": "<:barbarian:531661752757125149>",
"miner": "<:miner:531661752954257430>",
"drag": "<:drag:531661752971165708>",
"cannoncart": "<:cannoncart:531661753008914451>",
"boxergiant": "<:boxergiant:531661753042337793>",
"bowler": "<:bowler:531661753495584768>",
"haste": "<:haste:531661753541722121>",
"battlemachine": "<:battlemachine:531661753642254338>",
"smground": "<:smground:531661753721815040>",
"poison": "<:poison:531661754007158794>",
"loon": "<:loon:531661754162216970>",
"skeleton": "<:skeleton:531661754204291101>",
"ragedbarb": "<:ragedbarb:531661754254491649>",
"wizard": "<:wizard:531661754653212692>",
"betaminion": "<:betaminion:531661755022049281>",
"grandwarden": "<:grandwarden:531661755022311446>",
"clone": "<:clone:531661755114586113>",
"goblin": "<:goblin:531661755185627156>",
"healer": "<:healer:531661755286552587>",
"heal": "<:heal:531661755370307604>",
"giant": "<:giant:531661755428896789>",
"golem": "<:golem:531661755542405131>",
"pekka": "<:pekka:531661755558920203>",
"jump": "<:jump:531661755651325962>",
"valkyrie": "<:valkyrie:531661755688943627>",
"lavahound": "<:lavahound:531661755714371594>",
"edrag": "<:edrag:531661755781349396>",
"wallbreaker": "<:wallbreaker:531661755815034890>",
"sneakyarcher": "<:sneakyarcher:531661755848327178>",
"freeze": "<:freeze:531661755873492992>",
"lightning": "<:lightning:531661755894595584>",
"superpekka": "<:superpekka:531661755911372821>",
"rage": "<:rage:531661755940864030>",
"witch": "<:witch:531661755953446922>",
"dropship": "<:dropship:531661755961835550>",
"minion": "<:minion:531661755978481675>",
"nightwitch": "<:nightwitch:531661756452569098>",
"smair2": "<:smair2:531661989504876553>",
"icegolem": "<:icegolem:531662117690933268>",
"batspell": "<:batspell:531667965813325832>",
}
misc = \
{
"donated": "<:donated:601622865451941896>",
"received": "<:received:601622788515692552>",
"offline": "<:offline:604943449241681950>",
"online": "<:online:604943467982094347>",
"number": "<:number:601623596070338598>",
"idle": "<:idle:601626135306043452>",
"rcsgap": "<:rcsgap:506646497149059074>",
"slack": "<:slack:521472987556216837>",
"star_empty": "<:star_empty:524801903016804363>",
"star_new": "<:star_new:524801903109079041>",
"star_old": "<:star_old:524801903234646017>",
"red_x_mark": "<:red_x_mark:531163415335403531>",
"upvote": "<:upvote:531246808999919628>",
"downvote": "<:downvote:531246835185221643>",
"swords": "<:swords:557035830175072257>",
"per": "<:per:569361815683858433>",
"discord": "<:discord:571884537500401664>",
"legend": "<:legend:592028469068824607>",
"legendcup": "<:legendcup:592028799768592405>",
"tank": "<:tank:594601895163723816>",
"clashchamps": "<:clashchamps:600807746664792084>",
"greentick": "<:greentick:601900670823694357>",
"redtick": "<:redtick:601900691312607242>",
"greytick": "<:greytick:601900711974010905>",
"trophygain": "<:trophygain:628561448519335946>",
"trophyloss": "<:trophyloss:628561532141436960>",
"trophygreen": "<:trophygreen:628561697480900618>",
"trophyred": "<:trophyred:628561718276128789>",
"green_clock": "<:green_clock:629481616091119617>",
"defense": "<:defense:632517053953081354>",
"attack": "<:attack:632518458713571329>",
"trophygold": "<:trophygold:632521243278442505>"
}
| 45.64257
| 63
| 0.611087
| 716
| 11,365
| 9.678771
| 0.831006
| 0.002597
| 0.002309
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0.538145
| 0.209943
| 11,365
| 248
| 64
| 45.826613
| 0.233656
| 0
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| 0
| 0
| 0
| 0.651562
| 0.599032
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| 0
| false
| 0
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| 0
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| 0
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| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
893efa2841deeac30c4dd8389709e557b090792e
| 108
|
py
|
Python
|
main ().py
|
Jonah-1/fresh-3
|
bc2a9e651ad96198ac0adc6afca0eebbe9b57ddc
|
[
"MIT"
] | null | null | null |
main ().py
|
Jonah-1/fresh-3
|
bc2a9e651ad96198ac0adc6afca0eebbe9b57ddc
|
[
"MIT"
] | null | null | null |
main ().py
|
Jonah-1/fresh-3
|
bc2a9e651ad96198ac0adc6afca0eebbe9b57ddc
|
[
"MIT"
] | null | null | null |
# -*—coding=utf_8-*—
# @Time :14:47
# @Author :Jonah
# @File :main （）.py
# @Software :PyCharm
print("hello")
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0
| 4
|
8980fed061551c44386bf11bea4132819c137da4
| 11,212
|
py
|
Python
|
Lesson02/lesson5_task10.py
|
zhukovsv/Sel-15_test-repository
|
86d1c279eddebb5b97491d514a0430deb40077cc
|
[
"Apache-2.0"
] | null | null | null |
Lesson02/lesson5_task10.py
|
zhukovsv/Sel-15_test-repository
|
86d1c279eddebb5b97491d514a0430deb40077cc
|
[
"Apache-2.0"
] | null | null | null |
Lesson02/lesson5_task10.py
|
zhukovsv/Sel-15_test-repository
|
86d1c279eddebb5b97491d514a0430deb40077cc
|
[
"Apache-2.0"
] | null | null | null |
import pytest
# file->Settings->Project interpreter find and add hamcrest
from hamcrest import *
from selenium import webdriver
from selenium.webdriver.common.by import By
login, pwd = 'admin', 'admin'
URL = 'http://localhost/litecart/en/'
class Locators(object):
CAMPAIGNS = By.ID, 'box-campaigns'
PRODUCT = By.ID, 'box-product'
REGULAR_PRICE = By.CSS_SELECTOR, '.regular-price'
CAMPAIGN_PRICE = By.CSS_SELECTOR, '.campaign-price'
@pytest.fixture
def driver(request):
wd = webdriver.Chrome()
request.addfinalizer(wd.quit)
return wd
# Get dictionary with list of properties
def get_element_style_attributes(element, props=None):
css_properties = props if props is not None else ['color', 'text-decoration', 'font-weight', 'font-size']
return dict((prop, element.value_of_css_property(prop)) for prop in css_properties)
# Test Gray and Red colors
# Test font size
def test_product_attributes_colors_and_fontsize(driver):
driver.get(URL)
# check color(RGB) and font-size for Campaign product on Home page.
box = driver.find_element(*Locators.CAMPAIGNS)
owner = box.find_element(By.CSS_SELECTOR, '.products .product:nth-of-type({index})'.format(index=1))
# check that color should be gray = rgbs(x,x,x,Y).
style = get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE), ['color'])
rgb_color = style['color'].replace("rgba(", "").replace(")", "").split(",")
assert (int(rgb_color[0]) == int(rgb_color[1])) & (int(rgb_color[1]) == int(rgb_color[2])), \
"Color isn't gray"
# check that color should be red = rgbs(Z,x,x,Y). and x = 0
style = get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE), ['color'])
rgb_color = style['color'].replace("rgba(", "").replace(")", "").split(",")
assert (int(rgb_color[1]) == 0) & (int(rgb_color[1]) == int(rgb_color[2]))\
& (int(rgb_color[0]) != int(rgb_color[2])), "Color isn't red"
# check that Campaign Price > Regular price.
style = get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE), ['font-size'])
regular_price_font_size = float(style['font-size'].replace("px", ""))
style = get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE), ['font-size'])
campaign_price_font_size = float(style['font-size'].replace("px", ""))
assert campaign_price_font_size > regular_price_font_size, \
"Campaign Price not grater than Regular price"
# Open Product page
owner.click()
# check color(RGB) and font-size for Campaign product on Product page.
owner = driver.find_element(*Locators.PRODUCT)
# check that color should be gray = rgbs(x,x,x,Y).
style = get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE), ['color'])
rgb_color = style['color'].replace("rgba(", "").replace(")", "").split(",")
assert (int(rgb_color[0]) == int(rgb_color[1])) & (int(rgb_color[1]) == int(rgb_color[2])), \
"Color isn't gray"
# check that color should be red = rgbs(Z,x,x,Y).
style = get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE), ['color'])
rgb_color = style['color'].replace("rgba(", "").replace(")", "").split(",")
assert (int(rgb_color[1]) == 0) & (int(rgb_color[1]) == int(rgb_color[2]))\
& (int(rgb_color[0]) != int(rgb_color[2])), "Color isn't red"
# check that Campaign Price > Regular price.
style = get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE), ['font-size'])
regular_price_font_size = float(style['font-size'].replace("px", ""))
style = get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE), ['font-size'])
campaign_price_font_size = float(style['font-size'].replace("px", ""))
assert campaign_price_font_size > regular_price_font_size, \
"Campaign Price not grater than Regular price"
# Check that product has the same attributes on Home and Product pages
# Name, Manufacturer, Regular Price, Campaign Price
def test_product_attributes(driver):
driver.get(URL)
box = driver.find_element(*Locators.CAMPAIGNS)
owner = box.find_element(By.CSS_SELECTOR, '.products .product:nth-of-type({index})'.format(index=1))
# Create dictionary for HomePage with Name, Manufactor, RegPrice, CampignPrice
home_attribute = {'name': owner.find_element(By.CLASS_NAME, 'name').text,
'manufacturer': owner.find_element(By.CSS_SELECTOR, '.manufacturer').text,
'regular-price': owner.find_element(*Locators.REGULAR_PRICE).text,
'campaign-price': owner.find_element(*Locators.CAMPAIGN_PRICE).text}
owner.click()
# Create dictionary for ProductPage with Name, Manufactor, RegPrice, CampignPrice
owner = driver.find_element(*Locators.PRODUCT)
product_attribute = {'name': owner.find_element(By.CLASS_NAME, 'title').text,
# case when attribute title= property title?
'manufacturer': owner.find_element(By.CSS_SELECTOR, '.manufacturer img').get_attribute('title'),
'regular-price': owner.find_element(*Locators.REGULAR_PRICE).text,
'campaign-price': owner.find_element(*Locators.CAMPAIGN_PRICE).text}
# Check homeDetails = productDetails
# assert_that.has_entries
assert_that(product_attribute, has_entries(home_attribute),
"Check that product has the same attributes on Home and Product pages")
# Check that product has the same attributes on Home and Product pages
# Name, Manufacturer, Regular Price, Campaign Price
def test_product_attributes_by_steps(driver):
driver.get(URL)
box = driver.find_element(*Locators.CAMPAIGNS)
owner = box.find_element(By.CSS_SELECTOR, '.products .product:nth-of-type({index})'.format(index=1))
name = owner.find_element(By.CLASS_NAME, 'name').text
manufacturer = owner.find_element(By.CSS_SELECTOR, '.manufacturer').text
regular_price = owner.find_element(*Locators.REGULAR_PRICE).text
campaign_price = owner.find_element(*Locators.CAMPAIGN_PRICE).text
owner.click()
owner = driver.find_element(*Locators.PRODUCT)
# assert_that.equal_to
assert_that(owner.find_element(By.CLASS_NAME, 'title').text, equal_to(name), "Product name")
title = owner.find_element(By.CSS_SELECTOR, '.manufacturer img').get_attribute('title')
assert_that(title, equal_to(manufacturer), "Manufacturer name")
assert_that(owner.find_element(*Locators.REGULAR_PRICE).text, equal_to(regular_price), "Regular price")
assert_that(owner.find_element(*Locators.CAMPAIGN_PRICE).text, equal_to(campaign_price), "Campaign price")
# Check Style:
# color, text-decoration, font-weight, font-size
def test_campaign_styles(driver):
expected = {'regular-price-home': {'color': 'rgba(119, 119, 119, 1)',
'text-decoration': 'line-through solid rgb(119, 119, 119)',
'font-weight': '400',
'font-size': '14.4px'},
'campaign-price-home': {'color': 'rgba(204, 0, 0, 1)',
'text-decoration': 'none solid rgb(204, 0, 0)',
'font-weight': '700',
'font-size': '18px'},
'regular-price-product': {'color': 'rgba(102, 102, 102, 1)',
'text-decoration': 'line-through solid rgb(102, 102, 102)',
'font-weight': '400',
'font-size': '16px'},
'campaign-price-product': {'color': 'rgba(204, 0, 0, 1)',
'text-decoration': 'none solid rgb(204, 0, 0)',
'font-weight': '700',
'font-size': '22px'}}
driver.get(URL)
box = driver.find_element(*Locators.CAMPAIGNS)
owner = box.find_element(By.CSS_SELECTOR, '.products .product:nth-of-type({index})'.format(index=1))
displayed = {'regular-price-home': get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE)),
'campaign-price-home': get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE))}
owner.click()
owner = driver.find_element(*Locators.PRODUCT)
displayed['regular-price-product'] = get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE))
displayed['campaign-price-product'] = get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE))
# Print for testing usage
"""
for itemD in displayed:
print(itemD)
sub_displ = displayed[itemD]
for subitemD in sub_displ:
print(subitemD, ':', sub_displ[subitemD])
"""
assert_that(displayed, has_entries(expected), 'Check styles')
def test_campaign_styles_by_steps(driver):
expected = {'regular-price-home': {'color': 'rgba(119, 119, 119, 1)',
'text-decoration': 'line-through solid rgb(119, 119, 119)',
'font-weight': '400',
'font-size': '14.4px'},
'campaign-price-home': {'color': 'rgba(204, 0, 0, 1)',
'text-decoration': 'none solid rgb(204, 0, 0)',
'font-weight': '700',
'font-size': '18px'},
'regular-price-product': {'color': 'rgba(102, 102, 102, 1)',
'text-decoration': 'line-through solid rgb(102, 102, 102)',
'font-weight': '400',
'font-size': '16px'},
'campaign-price-product': {'color': 'rgba(204, 0, 0, 1)',
'text-decoration': 'none solid rgb(204, 0, 0)',
'font-weight': '700',
'font-size': '22px'}}
driver.get(URL)
box = driver.find_element(*Locators.CAMPAIGNS)
owner = box.find_element(By.CSS_SELECTOR, '.products .product:nth-of-type({index})'.format(index=1))
style = get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE))
assert_that(style, equal_to(expected['regular-price-home']), 'regular-price-home style')
style = get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE))
assert_that(style, equal_to(expected['campaign-price-home']), 'campaign-price-home style')
owner.click()
owner = driver.find_element(*Locators.PRODUCT)
style = get_element_style_attributes(owner.find_element(*Locators.REGULAR_PRICE))
assert_that(style, equal_to(expected['regular-price-product']), 'regular-price-product style')
style = get_element_style_attributes(owner.find_element(*Locators.CAMPAIGN_PRICE))
assert_that(style, equal_to(expected['campaign-price-product']), 'campaign-price-product style')
| 51.431193
| 118
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| 1,362
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0
| 4
|
98267687480e0e146199679809c60d4d594a6ac0
| 8,800
|
py
|
Python
|
tools/virtuoso.py
|
datha88/kbqa-ar-smcnn
|
d6fdf3e07d4bb503cd9756a28db9d003b3a6e017
|
[
"Apache-2.0"
] | 139
|
2018-04-11T10:15:38.000Z
|
2022-03-05T09:35:15.000Z
|
tools/virtuoso.py
|
chanshunli/kbqa-ar-smcnn
|
d6fdf3e07d4bb503cd9756a28db9d003b3a6e017
|
[
"Apache-2.0"
] | 4
|
2018-05-05T09:28:38.000Z
|
2018-05-24T12:21:19.000Z
|
tools/virtuoso.py
|
chanshunli/kbqa-ar-smcnn
|
d6fdf3e07d4bb503cd9756a28db9d003b3a6e017
|
[
"Apache-2.0"
] | 61
|
2018-04-26T12:09:45.000Z
|
2021-11-20T12:17:05.000Z
|
#!/usr/bin/python
import sys, json
from urllib import parse, request
# Setting global variables
data_source = 'fb2m:'
query_url = 'http://localhost:8890/sparql/'
# HTTP URL is constructed accordingly with JSON query results format in mind.
def sparql_query(query, URL, format='application/json'):
params={
'default-graph': '',
'should-sponge': 'soft',
'query': query.encode('utf8'),
'debug': 'on',
'timeout': '',
'format': format,
'save': 'display',
'fname': ''
}
encoded_query = parse.urlencode(params).encode('utf-8')
http_response = request.urlopen(URL, encoded_query).read()
try:
json_response = json.loads(http_response.decode('utf-8'))
return json_response
except:
print >> sys.stderr, 'json load error'
print >> sys.stderr, http_response
return None
# Using freebase mid to query its types
def id_query_type(node_id):
query = '''
SELECT ?type FROM <%s> WHERE {<%s> <fb:type.object.type> ?type}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
type_list = [item['type']['value'] for item in json_response['results']['bindings']]
return list(set(type_list))
except:
return []
# Using freebase mid to query its original cased name
def id_query_en_name(node_id):
query = '''
SELECT ?name FROM <%s> WHERE {<%s> <fb:type.object.en_name> ?name}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
name_list = [item['name']['value'] for item in json_response['results']['bindings']]
return list(set(name_list))
except:
return []
# Using freebase mid to query its original cased alias
def id_query_en_alias(node_id):
query = '''
SELECT ?alias FROM <%s> WHERE {<%s> <fb:common.topic.en_alias> ?alias}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
alias_list = [item['alias']['value'] for item in json_response['results']['bindings']]
return list(set(alias_list))
except:
return []
# Using freebase mid to query its processed & tokenized name
def id_query_name(node_id):
query = '''
SELECT ?name FROM <%s> WHERE {<%s> <fb:type.object.name> ?name}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
name_list = [item['name']['value'] for item in json_response['results']['bindings']]
return list(set(name_list))
except:
return []
# Using freebase mid to query its processed & tokenized alias
def id_query_alias(node_id):
query = '''
SELECT ?alias FROM <%s> WHERE {<%s> <fb:common.topic.alias> ?alias}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
alias_list = [item['alias']['value'] for item in json_response['results']['bindings']]
return list(set(alias_list))
except:
return []
# Using freebase mid to query its processed & tokenized name & alias
def id_query_str(node_id):
query = '''
SELECT ?str FROM <%s> WHERE { {<%s> <fb:type.object.name> ?str} UNION {<%s> <fb:common.topic.alias> ?str} }
''' % (data_source, node_id, node_id)
json_response = sparql_query(query, query_url)
try:
name_list = [item['str']['value'] for item in json_response['results']['bindings']]
return list(set(name_list))
except:
return []
# Using freebase mid to query all relations coming out of the entity
def id_query_out_rel(node_id, unique = True):
query = '''
SELECT ?relation FROM <%s> WHERE {<%s> ?relation ?object}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
relations = [str(item['relation']['value']) for item in json_response['results']['bindings']]
return list(set(relations))
except:
return []
# Using freebase mid to query all relations coming into the entity
def id_query_in_rel(node_id, unique = True):
query = '''
SELECT ?relation FROM <%s> WHERE {?subject ?relation <%s>}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
relations = [str(item['relation']['value']) for item in json_response['results']['bindings']]
return list(set(relations))
except:
return []
# Using the name of an entity to query its freebase mid
def name_query_id(name):
query = '''
SELECT ?node_id FROM <%s> WHERE {?node_id <fb:type.object.name> "%s"}
''' % (data_source, name)
json_response = sparql_query(query, query_url)
try:
node_id_list = [str(item['node_id']['value']) for item in json_response['results']['bindings']]
return list(set(node_id_list))
except:
return []
# Using the alias of an entity to query its freebase mid
def alias_query_id(alias):
query = '''
SELECT ?node_id FROM <%s> WHERE {?node_id <fb:common.topic.alias> "%s"}
''' % (data_source, alias)
json_response = sparql_query(query, query_url)
try:
node_id_list = [str(item['node_id']['value']) for item in json_response['results']['bindings']]
return list(set(node_id_list))
except:
return []
# Using the alias/name of an entity to query its freebase mid
def str_query_id(string):
query = '''
SELECT ?node_id FROM <%s> WHERE { {?node_id <fb:common.topic.alias> "%s"} UNION {?node_id <fb:type.object.name> "%s"} }
''' % (data_source, string, string)
json_response = sparql_query(query, query_url)
try:
node_id_list = [str(item['node_id']['value']) for item in json_response['results']['bindings']]
return list(set(node_id_list))
except:
return []
# Using freebase mid to query all object coming out of the entity
def id_query_in_entity(node_id, unique = True):
query = '''
SELECT ?subject FROM <%s> WHERE {?subject ?relation <%s>}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
subjects = [str(item['subject']['value']) for item in json_response['results']['bindings']]
return list(set(subjects))
except:
return []
# Using freebase mid to query all relation coming into the entity
def id_query_out_entity(node_id, unique = True):
query = '''
SELECT ?object FROM <%s> WHERE {<%s> ?relation ?object}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
try:
objects = [str(item['object']['value']) for item in json_response['results']['bindings']]
return list(set(objects))
except:
return []
# Using the subject and relation to query the corresponding object
def query_object(subject, relation):
query = '''
SELECT ?object FROM <%s> WHERE {<%s> <%s> ?object}
''' % (data_source, subject, relation)
json_response = sparql_query(query, query_url)
try:
return [str(item['object']['value']) for item in json_response['results']['bindings']]
except:
return []
# Using the object and relation to query the corresponding subject
def query_subject(obj, relation):
query = '''
SELECT ?subject FROM <%s> WHERE {?subject <%s> <%s>}
''' % (data_source, relation, obj)
json_response = sparql_query(query, query_url)
try:
return [str(item['subject']['value']) for item in json_response['results']['bindings']]
except:
return []
# Using the subject and object to query the corresponding relation
def query_relation(sub, obj):
query = '''
SELECT ?relation FROM <%s> WHERE {<%s> ?relation <%s>}
''' % (data_source, sub, obj)
json_response = sparql_query(query, query_url)
try:
objects = [str(item['relation']['value']) for item in json_response['results']['bindings']]
return list(set(objects))
except:
return []
def relation_query_subject(relation):
query = '''
SELECT ?subject FROM <%s> WHERE {?subject <%s> ?object}
'''% (data_source, relation)
json_response = sparql_query(query, query_url)
try:
return [str(item['subject']['value']) for item in json_response['results']['bindings']]
except:
return []
# Check whether a node is a CVT node
def check_cvt(node_id):
query = '''
SELECT ?tag FROM <%s> WHERE {<%s> <fb:cvt_node_identifier> ?tag}
''' % (data_source, node_id)
json_response = sparql_query(query, query_url)
ret = [str(item['tag']['value']) for item in json_response['results']['bindings']]
if len(ret) == 1 and ret[0] == 'true':
return True
else:
return False
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| 128
| 0.626364
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| 8,800
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0
| 4
|
9854b69e94dd636900b37237fc800f16efc680d8
| 455
|
py
|
Python
|
tests/test_invites.py
|
M-R-Epstein/rocketchat_API
|
cbe258e168374cd7074e38e5aa3743c0635a7435
|
[
"MIT"
] | null | null | null |
tests/test_invites.py
|
M-R-Epstein/rocketchat_API
|
cbe258e168374cd7074e38e5aa3743c0635a7435
|
[
"MIT"
] | null | null | null |
tests/test_invites.py
|
M-R-Epstein/rocketchat_API
|
cbe258e168374cd7074e38e5aa3743c0635a7435
|
[
"MIT"
] | null | null | null |
def test_find_or_create_invite(logged_rocket):
rid = 'GENERAL'
find_or_create_invite = logged_rocket.find_or_create_invite(rid=rid, days=7, max_uses=5).json()
assert find_or_create_invite.get('success')
assert find_or_create_invite.get('days') == 7
assert find_or_create_invite.get('maxUses') == 5
def test_list_invites(logged_rocket):
list_invites = logged_rocket.list_invites().json()
assert isinstance(list_invites, list)
| 37.916667
| 99
| 0.762637
| 69
| 455
| 4.608696
| 0.333333
| 0.113208
| 0.226415
| 0.339623
| 0.622642
| 0.622642
| 0
| 0
| 0
| 0
| 0
| 0.010076
| 0.127473
| 455
| 11
| 100
| 41.363636
| 0.790932
| 0
| 0
| 0
| 0
| 0
| 0.054945
| 0
| 0
| 0
| 0
| 0
| 0.444444
| 1
| 0.222222
| false
| 0
| 0
| 0
| 0.222222
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
986fa3fcb7bda24d46f52a550a52dae2d700a866
| 177
|
py
|
Python
|
cli/ExitCommand.py
|
sventhijssen/compact
|
1bc90f1bad4c034568abc2f7ffb6c6324743e87d
|
[
"Apache-2.0"
] | 2
|
2022-03-13T11:51:52.000Z
|
2022-03-13T19:43:44.000Z
|
cli/ExitCommand.py
|
sventhijssen/compact
|
1bc90f1bad4c034568abc2f7ffb6c6324743e87d
|
[
"Apache-2.0"
] | null | null | null |
cli/ExitCommand.py
|
sventhijssen/compact
|
1bc90f1bad4c034568abc2f7ffb6c6324743e87d
|
[
"Apache-2.0"
] | 1
|
2022-03-12T22:12:50.000Z
|
2022-03-12T22:12:50.000Z
|
from cli.Command import Command
class ExitCommand(Command):
def __init__(self):
super(ExitCommand).__init__()
def execute(self) -> bool:
return True
| 16.090909
| 37
| 0.661017
| 20
| 177
| 5.45
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242938
| 177
| 10
| 38
| 17.7
| 0.813433
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0.166667
| 0.833333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
7f822604ddea4a53e64f1edb6a3ad252ee8736c5
| 149
|
py
|
Python
|
apps/reittiopas/urls.py
|
walliski/tf-info
|
a23c28c2fa51cb01daa48c89a81382adba230099
|
[
"BSD-3-Clause"
] | null | null | null |
apps/reittiopas/urls.py
|
walliski/tf-info
|
a23c28c2fa51cb01daa48c89a81382adba230099
|
[
"BSD-3-Clause"
] | null | null | null |
apps/reittiopas/urls.py
|
walliski/tf-info
|
a23c28c2fa51cb01daa48c89a81382adba230099
|
[
"BSD-3-Clause"
] | null | null | null |
from django.conf.urls import patterns, url
from reittiopas import views
urlpatterns = patterns('',
url(r'^$', views.index, name='reittiopas'),
)
| 24.833333
| 47
| 0.718121
| 19
| 149
| 5.631579
| 0.684211
| 0.205607
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134228
| 149
| 6
| 48
| 24.833333
| 0.829457
| 0
| 0
| 0
| 0
| 0
| 0.08
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7f9445750a1d56c444d9ba7e57057ac9cb72eec1
| 179
|
py
|
Python
|
tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial2_Solution_30701e58.py
|
raxosiris/course-content
|
6904ae919b91aeb885d73b53cb9b02e6ec73d9cd
|
[
"CC-BY-4.0"
] | 2,294
|
2020-05-11T12:05:35.000Z
|
2022-03-28T21:23:34.000Z
|
tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial2_Solution_30701e58.py
|
raxosiris/course-content
|
6904ae919b91aeb885d73b53cb9b02e6ec73d9cd
|
[
"CC-BY-4.0"
] | 629
|
2020-05-11T15:42:26.000Z
|
2022-03-29T12:23:35.000Z
|
tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial2_Solution_30701e58.py
|
raxosiris/course-content
|
6904ae919b91aeb885d73b53cb9b02e6ec73d9cd
|
[
"CC-BY-4.0"
] | 917
|
2020-05-11T12:47:53.000Z
|
2022-03-31T12:14:41.000Z
|
# hint: see np.diff()
inter_switch_intervals = np.diff(switch_times)
# plot inter-switch intervals
with plt.xkcd():
plot_interswitch_interval_histogram(inter_switch_intervals)
| 25.571429
| 61
| 0.810056
| 25
| 179
| 5.48
| 0.6
| 0.240876
| 0.437956
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094972
| 179
| 7
| 61
| 25.571429
| 0.845679
| 0.26257
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f6f99818f4f73e00facf4f820b908286c5b08fed
| 159
|
py
|
Python
|
virtual/bin/django-admin.py
|
DennisIrimu/instagram
|
d4e92fc5fa8b607e3e8f9d671d3fd7f1d32f2aa4
|
[
"MIT"
] | null | null | null |
virtual/bin/django-admin.py
|
DennisIrimu/instagram
|
d4e92fc5fa8b607e3e8f9d671d3fd7f1d32f2aa4
|
[
"MIT"
] | null | null | null |
virtual/bin/django-admin.py
|
DennisIrimu/instagram
|
d4e92fc5fa8b607e3e8f9d671d3fd7f1d32f2aa4
|
[
"MIT"
] | null | null | null |
#!/home/dnyt/Desktop/instagram/virtual/bin/python3.6
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 26.5
| 52
| 0.786164
| 21
| 159
| 5.428571
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013889
| 0.09434
| 159
| 5
| 53
| 31.8
| 0.777778
| 0.320755
| 0
| 0
| 0
| 0
| 0.074766
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
100fcd237e5ca762153fd75723d3fe604e72cb0c
| 179
|
py
|
Python
|
p3/app/helloworld.py
|
Paszser/DAI
|
86e9385b3cb8994ac772dc3150cb27d14c626184
|
[
"Apache-2.0"
] | null | null | null |
p3/app/helloworld.py
|
Paszser/DAI
|
86e9385b3cb8994ac772dc3150cb27d14c626184
|
[
"Apache-2.0"
] | null | null | null |
p3/app/helloworld.py
|
Paszser/DAI
|
86e9385b3cb8994ac772dc3150cb27d14c626184
|
[
"Apache-2.0"
] | null | null | null |
def hello():
return hw()
def hw():
cadena = "<h1>Prueba</h1>"
cadena += "<h2>Probando</h2>"
cadena += "<div>Hello World.</div>"
return cadena
| 16.272727
| 40
| 0.497207
| 21
| 179
| 4.238095
| 0.52381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.307263
| 179
| 10
| 41
| 17.9
| 0.685484
| 0
| 0
| 0
| 0
| 0
| 0.329341
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0.142857
| 0.571429
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
1017e40d6257f61654e8d50ffa61d74d3c5bfa66
| 246
|
py
|
Python
|
modulo 05/sniffer_tools/plugins/base.py
|
p-g-krish/CursoSecurityToolsPython
|
7b2205a33d23166a37a6b8105b9ca5863855aa85
|
[
"Apache-2.0"
] | 10
|
2020-02-13T03:14:29.000Z
|
2021-09-16T04:32:40.000Z
|
modulo 05/sniffer_tools/plugins/base.py
|
p-g-krish/CursoSecurityToolsPython
|
7b2205a33d23166a37a6b8105b9ca5863855aa85
|
[
"Apache-2.0"
] | null | null | null |
modulo 05/sniffer_tools/plugins/base.py
|
p-g-krish/CursoSecurityToolsPython
|
7b2205a33d23166a37a6b8105b9ca5863855aa85
|
[
"Apache-2.0"
] | 4
|
2020-02-18T23:42:23.000Z
|
2021-09-10T05:52:09.000Z
|
from scapy.all import hexdump
class BasePlugin(object):
name = 'plugin master'
version = '1.0'
def ParserPackets(self, pkt):
raise NoImplementedError
def hexdumpPacket(self, pkt):
return hexdump(pkt)
| 20.5
| 34
| 0.634146
| 27
| 246
| 5.777778
| 0.814815
| 0.089744
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011299
| 0.280488
| 246
| 12
| 35
| 20.5
| 0.870057
| 0
| 0
| 0
| 0
| 0
| 0.068085
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0.125
| 0.875
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
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