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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f1fa05fa1cb12068e6e83fcae8c36f764d69b4cc | 799 | py | Python | DIMCREATOR/public_function.py | MINT1TINM/DIM-CREATOR | ca46043fc9279070f07ad5e934e95bc6ace0580a | [
"Apache-2.0"
] | null | null | null | DIMCREATOR/public_function.py | MINT1TINM/DIM-CREATOR | ca46043fc9279070f07ad5e934e95bc6ace0580a | [
"Apache-2.0"
] | null | null | null | DIMCREATOR/public_function.py | MINT1TINM/DIM-CREATOR | ca46043fc9279070f07ad5e934e95bc6ace0580a | [
"Apache-2.0"
] | null | null | null | import MySQLdb
def antisql(content):
antistr=u"'|and|exec|insert|select|delete|update|count|*|%|chr|mid|master|truncate|char|declare|;|or|-|+|,".split(u"|")
for i in range (len(antistr)):
if antistr[i] in content:
return 1
return 0
def sql_select(text):
conn=MyS... | 21.026316 | 123 | 0.622028 | 105 | 799 | 4.714286 | 0.52381 | 0.012121 | 0.060606 | 0.088889 | 0.569697 | 0.569697 | 0.460606 | 0.460606 | 0.460606 | 0.460606 | 0 | 0.018868 | 0.204005 | 799 | 37 | 124 | 21.594595 | 0.759434 | 0 | 0 | 0.521739 | 0 | 0.043478 | 0.207809 | 0.120907 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0.086957 | 0.043478 | 0 | 0.304348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
7b00c6f1d89e97a620c345e04781fb343ad03d86 | 211 | py | Python | tests/settings_test.py | uploadcare/intercom-rank | 1b4eb8ab8589c7ed85dd295f97016213deafec93 | [
"MIT"
] | 12 | 2016-03-10T15:58:51.000Z | 2020-05-07T21:46:03.000Z | tests/settings_test.py | uploadcare/intercom-rank | 1b4eb8ab8589c7ed85dd295f97016213deafec93 | [
"MIT"
] | 34 | 2019-06-14T16:17:13.000Z | 2020-12-17T10:19:45.000Z | tests/settings_test.py | uploadcare/intercom-rank | 1b4eb8ab8589c7ed85dd295f97016213deafec93 | [
"MIT"
] | 1 | 2016-12-23T11:02:07.000Z | 2016-12-23T11:02:07.000Z | from app.settings import *
DEBUG = False
TESTING = True
SQLALCHEMY_DATABASE_URI = 'sqlite:///:memory:'
SERVER_NAME = 'localhost'
WTF_CSRF_ENABLED = False
WTF_CSRF_CHECK_DEFAULT = False
WTF_CSRF_METHODS = []
| 16.230769 | 46 | 0.763033 | 28 | 211 | 5.392857 | 0.785714 | 0.139073 | 0.15894 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137441 | 211 | 12 | 47 | 17.583333 | 0.82967 | 0 | 0 | 0 | 0 | 0 | 0.127962 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b00ce29fe36466f2153668cf7f2917f6e68f29c | 304 | py | Python | Desafio/ex097.py | NathanMuniz/Exercises-Python | 21dcf5fafdc3bd20baec997986b3ae97f5e08784 | [
"MIT"
] | null | null | null | Desafio/ex097.py | NathanMuniz/Exercises-Python | 21dcf5fafdc3bd20baec997986b3ae97f5e08784 | [
"MIT"
] | null | null | null | Desafio/ex097.py | NathanMuniz/Exercises-Python | 21dcf5fafdc3bd20baec997986b3ae97f5e08784 | [
"MIT"
] | null | null | null | def tran_titulo(tit):
x = len(tit)
print((x + 5) * "~")
print(f" {tit}")
print((x + 5) * "~")
titulo_principal = "Gustavo Guanabara"
titulo_secundario = "Curso de Python no Youtube"
paragrafo = "Cev"
tran_titulo(titulo_principal)
tran_titulo(titulo_secundario)
tran_titulo(paragrafo) | 21.714286 | 48 | 0.674342 | 40 | 304 | 4.925 | 0.5 | 0.203046 | 0.091371 | 0.101523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008 | 0.177632 | 304 | 14 | 49 | 21.714286 | 0.78 | 0 | 0 | 0.181818 | 0 | 0 | 0.183607 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.090909 | 0.272727 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b010dbec2cf3990d56e1160ac59b8af67327157 | 530 | py | Python | users/migrations/0002_shifts_per_roster.py | gregcowell/roster-wizard | 8a594ba0a6b38fda34bcc924c70a37b1c1692ddf | [
"MIT"
] | 18 | 2019-10-27T02:53:57.000Z | 2021-12-30T06:02:12.000Z | users/migrations/0002_shifts_per_roster.py | gregcowell/roster-wizard | 8a594ba0a6b38fda34bcc924c70a37b1c1692ddf | [
"MIT"
] | 9 | 2020-06-06T02:24:55.000Z | 2021-09-11T03:54:05.000Z | users/migrations/0002_shifts_per_roster.py | gregcowell/roster-wizard | 8a594ba0a6b38fda34bcc924c70a37b1c1692ddf | [
"MIT"
] | 7 | 2020-04-20T03:25:56.000Z | 2021-09-09T06:50:24.000Z | # Generated by Django 2.2 on 2019-04-24 03:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='customuser',
name='ward_name',
)... | 22.083333 | 50 | 0.575472 | 51 | 530 | 5.843137 | 0.72549 | 0.060403 | 0.127517 | 0.154362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055249 | 0.316981 | 530 | 23 | 51 | 23.043478 | 0.767956 | 0.081132 | 0 | 0.235294 | 1 | 0 | 0.129897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b014e2664227d349f7c94a4f0cbd7aa25ecfef8 | 1,880 | py | Python | mongoDB/connections.py | Atharva-Gundawar/PyDB | fe4583a34b569c163516ad1115ee7b211dac81a6 | [
"MIT"
] | null | null | null | mongoDB/connections.py | Atharva-Gundawar/PyDB | fe4583a34b569c163516ad1115ee7b211dac81a6 | [
"MIT"
] | null | null | null | mongoDB/connections.py | Atharva-Gundawar/PyDB | fe4583a34b569c163516ad1115ee7b211dac81a6 | [
"MIT"
] | null | null | null | # Install pymongo using 'pip install pymongo'
import urllib
from pymongo import MongoClient
client = MongoClient()
# Connect to localhost :
# Format :
# client = MongoClient('<host>', port_number)
client = MongoClient('localhost', 27017)
# or use the entire URL
# client = MongoClient('mongodb://<host>:<portnum>/')
... | 38.367347 | 105 | 0.739362 | 237 | 1,880 | 5.814346 | 0.493671 | 0.123367 | 0.087083 | 0.029028 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023529 | 0.140957 | 1,880 | 48 | 106 | 39.166667 | 0.829721 | 0.453723 | 0 | 0.111111 | 0 | 0.055556 | 0.387065 | 0.248756 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.222222 | 0.111111 | 0 | 0.111111 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
7b08f3f8c33fa71c0769589a9082226b1e225d83 | 976 | py | Python | forms.py | sarar0sa/PCAPinator | 90b49f22d5e035fb8f03745a66f261753a1960c9 | [
"Apache-2.0"
] | null | null | null | forms.py | sarar0sa/PCAPinator | 90b49f22d5e035fb8f03745a66f261753a1960c9 | [
"Apache-2.0"
] | null | null | null | forms.py | sarar0sa/PCAPinator | 90b49f22d5e035fb8f03745a66f261753a1960c9 | [
"Apache-2.0"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import (StringField, IntegerField, SubmitField)
from wtforms.validators import InputRequired, Length, Regexp
valid_search_time = "^(19[0-9][0-9]|20[0-9][0-9])(\/)(0[1-9]|1[0-2])(\/)(0[1-9]|1[0-9]|2[0-9]|3[0-1])\+(0[0-9]|1[0-9]|2[0-3]):([0-5][0-9]):([0-5][0-9])$"
# The form... | 69.714286 | 187 | 0.710041 | 153 | 976 | 4.470588 | 0.372549 | 0.02924 | 0.017544 | 0.061404 | 0.20614 | 0.093567 | 0 | 0 | 0 | 0 | 0 | 0.058756 | 0.110656 | 976 | 14 | 188 | 69.714286 | 0.729263 | 0.071721 | 0 | 0 | 0 | 0.1 | 0.351381 | 0.167956 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
7b0f434a4097d8151586d5849c4e52a16442b68b | 391 | py | Python | secret/migrations/0002_auto_20191230_1047.py | sgilissen/PulseSecretServer | 7b9e62712ddcfd61e1c4a90bb104b87242d1cfcb | [
"MIT"
] | null | null | null | secret/migrations/0002_auto_20191230_1047.py | sgilissen/PulseSecretServer | 7b9e62712ddcfd61e1c4a90bb104b87242d1cfcb | [
"MIT"
] | null | null | null | secret/migrations/0002_auto_20191230_1047.py | sgilissen/PulseSecretServer | 7b9e62712ddcfd61e1c4a90bb104b87242d1cfcb | [
"MIT"
] | null | null | null | # Generated by Django 2.2.9 on 2019-12-30 10:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('secret', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='secret',
name='expiry_date',
... | 20.578947 | 62 | 0.595908 | 42 | 391 | 5.47619 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0681 | 0.286445 | 391 | 18 | 63 | 21.722222 | 0.756272 | 0.11509 | 0 | 0 | 1 | 0 | 0.101744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b1aefc318e24d03b079a436333d54651048022b | 679 | py | Python | UTAT_Matlab/Rocket Optimizer/reg_fuel.py | coursekevin/AerospikeDesign | 2385e53fa6af51fb09b8f1280cbb052e7a5c7aea | [
"MIT"
] | 1 | 2020-09-17T18:33:17.000Z | 2020-09-17T18:33:17.000Z | UTAT_Matlab/Rocket Optimizer/reg_fuel.py | coursekevin/AerospikeDesign | 2385e53fa6af51fb09b8f1280cbb052e7a5c7aea | [
"MIT"
] | null | null | null | UTAT_Matlab/Rocket Optimizer/reg_fuel.py | coursekevin/AerospikeDesign | 2385e53fa6af51fb09b8f1280cbb052e7a5c7aea | [
"MIT"
] | 1 | 2022-03-23T21:58:20.000Z | 2022-03-23T21:58:20.000Z | rho_fuel = 950
L = 0.3048 #fuel core length CHECK
r_fo = 0.068/2 # Inner combustion chamber radius
a0 = 0.000155 # Regression rate coeff (m/s**2)
n_reg = 0.5 # Regression rate exponent, FLUX EXP???
MW_ox = 44.013 # Molecular weight/mass of N2O (kg/kmol)
m_ox = #liquid ox mass in tank initial
n = m_ox/MW_ox # moels of... | 32.333333 | 75 | 0.683358 | 143 | 679 | 3.090909 | 0.426573 | 0.027149 | 0.099548 | 0.126697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063636 | 0.189985 | 679 | 21 | 76 | 32.333333 | 0.74 | 0.568483 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b1afd932cbe595a77f58155b648ba56ae2b9606 | 4,276 | py | Python | tools/view_traces.py | PHILAE-PROJECT/agilkia | d54741fd7e4b1c965db9a9f87ffcbeec1c9a68ef | [
"MIT"
] | 1 | 2022-02-08T08:14:56.000Z | 2022-02-08T08:14:56.000Z | tools/view_traces.py | PHILAE-PROJECT/agilkia | d54741fd7e4b1c965db9a9f87ffcbeec1c9a68ef | [
"MIT"
] | null | null | null | tools/view_traces.py | PHILAE-PROJECT/agilkia | d54741fd7e4b1c965db9a9f87ffcbeec1c9a68ef | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
View the traces within an Agilkia TraceSet.
It prints a one-line summary of each trace, plus some general statistics.
If the TraceSet is clustered, traces will be displayed in clusters, by default.
TODO: allow user to specify the 'Ok' status value (e.g. --ok=200 for HTTP results)
@author:... | 44.082474 | 108 | 0.654584 | 592 | 4,276 | 4.619932 | 0.356419 | 0.021938 | 0.04351 | 0.020475 | 0.135283 | 0.118464 | 0.062888 | 0.041682 | 0.041682 | 0.041682 | 0 | 0.008447 | 0.197147 | 4,276 | 96 | 109 | 44.541667 | 0.788232 | 0.172591 | 0 | 0.073529 | 0 | 0 | 0.257899 | 0.027896 | 0 | 0 | 0 | 0.010417 | 0 | 1 | 0.029412 | false | 0 | 0.073529 | 0 | 0.117647 | 0.220588 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b1d388de458568738f7a0c8927f8a9ae2fd4a8e | 1,428 | py | Python | Python/python-practice/chapter5-if/toppints.py | jiaoqiyuan/Tests | a3595b0e4b430d910f90e428d6b6b4465f67a059 | [
"Apache-2.0"
] | null | null | null | Python/python-practice/chapter5-if/toppints.py | jiaoqiyuan/Tests | a3595b0e4b430d910f90e428d6b6b4465f67a059 | [
"Apache-2.0"
] | null | null | null | Python/python-practice/chapter5-if/toppints.py | jiaoqiyuan/Tests | a3595b0e4b430d910f90e428d6b6b4465f67a059 | [
"Apache-2.0"
] | null | null | null | requested_topping = 'mushrooms'
if requested_topping != 'anchovies':
print("Hold the anchovies!")
answer = 17
if answer != 42:
print("That is not the correct answer. Please try again!")
requested_toppings = ['mushrooms', 'extra cheese']
if 'mushrooms' in requested_toppings:
print("Adding mushrooms.")
if 'pepperon... | 32.454545 | 103 | 0.734594 | 176 | 1,428 | 5.823864 | 0.289773 | 0.171707 | 0.11122 | 0.093659 | 0.442927 | 0.320976 | 0.283902 | 0.24 | 0.24 | 0.130732 | 0 | 0.003239 | 0.135154 | 1,428 | 44 | 104 | 32.454545 | 0.826721 | 0 | 0 | 0.333333 | 0 | 0 | 0.395381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.416667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
7b1e776a56b5db8dc8751388168be826b4e1f881 | 964 | py | Python | tools/initialcompdata/abundngc5286.py | lukeshingles/evelchemevol | c2cc192bc3bf7ca0ebcf486ec37bb95c5fafb672 | [
"MIT"
] | 2 | 2016-03-03T14:36:32.000Z | 2021-04-12T12:08:50.000Z | tools/initialcompdata/abundngc5286.py | lukeshingles/evelchemevol | c2cc192bc3bf7ca0ebcf486ec37bb95c5fafb672 | [
"MIT"
] | 1 | 2016-03-24T00:31:09.000Z | 2016-03-24T00:31:09.000Z | tools/initialcompdata/abundngc5286.py | lukeshingles/evelchemevol | c2cc192bc3bf7ca0ebcf486ec37bb95c5fafb672 | [
"MIT"
] | null | null | null | from abundsolar import elsolarlogepsilon
zfactor = 10 ** -1.92
# mean of s-poor population in NGC5286
# from Marino et al. (2015) 2015MNRAS.450..815M
# [Fe/H] = -1.92
# log X/Fe = [X/Fe] + log(X/Fe)_solar
targetlogxtofe = { 'o': 0.58 + elsolarlogepsilon['o'] - elsolarlogepsilon['fe'],
'na': 0.18 + e... | 50.736842 | 81 | 0.557054 | 100 | 964 | 5.36 | 0.47 | 0.31903 | 0.022388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075071 | 0.267635 | 964 | 18 | 82 | 53.555556 | 0.684136 | 0.137967 | 0 | 0 | 0 | 0 | 0.060606 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b250a5135f083dfeb1a0e3546505df08292bf67 | 2,866 | py | Python | tests/flag_test.py | harrybrwn/dispatch | 77aac949adb2229a609e4d1a7380478fdf5f1f7f | [
"Apache-2.0"
] | null | null | null | tests/flag_test.py | harrybrwn/dispatch | 77aac949adb2229a609e4d1a7380478fdf5f1f7f | [
"Apache-2.0"
] | null | null | null | tests/flag_test.py | harrybrwn/dispatch | 77aac949adb2229a609e4d1a7380478fdf5f1f7f | [
"Apache-2.0"
] | null | null | null | import pytest
from pytest import raises
import sys
from os.path import dirname
sys.path.insert(0, dirname(dirname(__file__)))
from typing import List, Set, Dict, Sequence, Mapping
from dispatch import command
from dispatch.flags import Option, _from_typing_module, _is_iterable
class AType:
def __init__(self, va... | 28.376238 | 68 | 0.638172 | 426 | 2,866 | 4.157277 | 0.194836 | 0.073405 | 0.08131 | 0.009034 | 0.34105 | 0.243365 | 0.193676 | 0.193676 | 0.181818 | 0.181818 | 0 | 0.0271 | 0.227495 | 2,866 | 100 | 69 | 28.66 | 0.772809 | 0.00314 | 0 | 0.176471 | 0 | 0.011765 | 0.063442 | 0.016474 | 0 | 0 | 0 | 0 | 0.482353 | 1 | 0.070588 | false | 0.035294 | 0.082353 | 0 | 0.188235 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b316a4c09da0dc1dc7a0c9da51fe511b8d7b2d8 | 401 | py | Python | aula2/exercicio2.py | ArseniumGX/bluemer-modulo1-python | 2f7c69252a9a86cc573c192d1d9685b0c20466f8 | [
"MIT"
] | null | null | null | aula2/exercicio2.py | ArseniumGX/bluemer-modulo1-python | 2f7c69252a9a86cc573c192d1d9685b0c20466f8 | [
"MIT"
] | null | null | null | aula2/exercicio2.py | ArseniumGX/bluemer-modulo1-python | 2f7c69252a9a86cc573c192d1d9685b0c20466f8 | [
"MIT"
] | null | null | null | """ 02 - Qual o valor do troco?
Defina uma variável para o valor de uma compra que custou R$100,98;
Defina uma variável para o valor que o cliente pagou R$150,00;
Defina uma variável que calcula o valor do troco e exiba-o no console com o valor final arredondado.
"""
valor_compra = 100.98
valor_pago = 1... | 26.733333 | 104 | 0.710723 | 74 | 401 | 3.797297 | 0.472973 | 0.106762 | 0.181495 | 0.092527 | 0.192171 | 0.192171 | 0 | 0 | 0 | 0 | 0 | 0.072555 | 0.209476 | 401 | 14 | 105 | 28.642857 | 0.81388 | 0.653367 | 0 | 0 | 0 | 0 | 0.243697 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b33b50dcbc78e06ed24ef45a895d2925e481454 | 3,328 | py | Python | ac/messagepgp.py | juga0/djac | e15b6d216c32c72bb825e2b36220dad92aeae48e | [
"MIT"
] | null | null | null | ac/messagepgp.py | juga0/djac | e15b6d216c32c72bb825e2b36220dad92aeae48e | [
"MIT"
] | null | null | null | ac/messagepgp.py | juga0/djac | e15b6d216c32c72bb825e2b36220dad92aeae48e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# vim:ts=4:sw=4:expandtab
# Copyright 2017 juga (juga at riseup dot net), under MIT license.
"""Extend Django email classes for MIME multipart/pgp-encrypted
type messages.
"""
__all__ = ['EmailMessageEnc', 'EmailMessagePGP']
from django.conf import settings
from django.core.mail.message impor... | 38.697674 | 85 | 0.650841 | 405 | 3,328 | 5.153086 | 0.392593 | 0.030187 | 0.053666 | 0.027312 | 0.064207 | 0.021083 | 0 | 0 | 0 | 0 | 0 | 0.004358 | 0.241587 | 3,328 | 85 | 86 | 39.152941 | 0.822504 | 0.204327 | 0 | 0 | 0 | 0 | 0.047637 | 0 | 0 | 0 | 0 | 0.011765 | 0 | 1 | 0.115385 | false | 0 | 0.076923 | 0 | 0.307692 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e27b35d79b12b92a39f4959cc1a0c912df5a4d9 | 1,918 | py | Python | data_prep_step/BERT_PYTORCH/data_prep_bert_pytorch.py | sampathkumaran90/pytorch-pipeline | 32c9bb29fecd144cbee35182e56328ea4592dbcc | [
"MIT"
] | null | null | null | data_prep_step/BERT_PYTORCH/data_prep_bert_pytorch.py | sampathkumaran90/pytorch-pipeline | 32c9bb29fecd144cbee35182e56328ea4592dbcc | [
"MIT"
] | null | null | null | data_prep_step/BERT_PYTORCH/data_prep_bert_pytorch.py | sampathkumaran90/pytorch-pipeline | 32c9bb29fecd144cbee35182e56328ea4592dbcc | [
"MIT"
] | null | null | null | import shutil
from collections import defaultdict
import numpy as np
import pandas as pd
import torch
import torch.nn.functional as F
from sklearn.model_selection import train_test_split
from torch import nn
from torch.utils.data import Dataset, DataLoader
from transformers import (
BertModel,
BertTokenizer,
... | 24.909091 | 109 | 0.696559 | 240 | 1,918 | 5.379167 | 0.5 | 0.048799 | 0.039504 | 0.048799 | 0.035631 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000664 | 0.215328 | 1,918 | 76 | 110 | 25.236842 | 0.857143 | 0.233577 | 0 | 0.044444 | 0 | 0 | 0.082686 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.422222 | 0 | 0.488889 | 0.044444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
9e2853bc86e39b2d16cf6ae9851478345e87ec3f | 606 | py | Python | month02/multiprocessing/day13-2/myprocess.py | chaofan-zheng/python_learning_code | 5d05848911d55aa49eaee4afd7ffd80536fad7aa | [
"Apache-2.0"
] | 4 | 2021-01-07T14:25:15.000Z | 2021-02-01T10:36:10.000Z | month02/multiprocessing/day13-2/myprocess.py | chaofan-zheng/python_learning_code | 5d05848911d55aa49eaee4afd7ffd80536fad7aa | [
"Apache-2.0"
] | null | null | null | month02/multiprocessing/day13-2/myprocess.py | chaofan-zheng/python_learning_code | 5d05848911d55aa49eaee4afd7ffd80536fad7aa | [
"Apache-2.0"
] | null | null | null | """
自定义进程类
"""
from multiprocessing import Process
# 使用面向对象的思想 创建自己的进程类
class MyProcess(Process):
def __init__(self,value):
self.value = value
super().__init__() # 引入父类
def fun(self):
print(self.value)
# 进程执行内容的入口函数
def run(self):
self.fun()
print("搞点大事情,想干嘛都行"... | 17.314286 | 35 | 0.589109 | 67 | 606 | 5.074627 | 0.432836 | 0.079412 | 0.082353 | 0.105882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002288 | 0.278878 | 606 | 35 | 36 | 17.314286 | 0.775744 | 0.394389 | 0 | 0 | 0 | 0 | 0.031792 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.076923 | 0 | 0.384615 | 0.153846 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e2888437f1cf08e2be6b5315a6fe714fc7e205e | 241 | py | Python | exe066a.py | Alexmachado81/ExerciciosPython_Resolvidos | 2774ba742788eb7b545f3f85e9438deb68a983d4 | [
"MIT"
] | null | null | null | exe066a.py | Alexmachado81/ExerciciosPython_Resolvidos | 2774ba742788eb7b545f3f85e9438deb68a983d4 | [
"MIT"
] | null | null | null | exe066a.py | Alexmachado81/ExerciciosPython_Resolvidos | 2774ba742788eb7b545f3f85e9438deb68a983d4 | [
"MIT"
] | null | null | null | soma = cont =0
while True:
numero = int(input('Informe um numero inteiro[digite 999 para ele parar ]:'))
if numero == 999:
break
soma = soma + numero
cont += 1
print(f' A soma dos {cont} numeros digitador é {soma}')
| 24.1 | 81 | 0.618257 | 36 | 241 | 4.138889 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045198 | 0.26556 | 241 | 9 | 82 | 26.777778 | 0.79661 | 0 | 0 | 0 | 0 | 0 | 0.410788 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.125 | 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 | 0 | 0 | 0 | 0 | 0 | 1 |
9e2e4b24602fd5d4888815a3552d0b859132dc64 | 1,440 | py | Python | 0845 Enclosed Islands.py | ansabgillani/binarysearchcomproblems | 12fe8632f8cbb5058c91a55bae53afa813a3247e | [
"MIT"
] | 1 | 2020-12-29T21:17:26.000Z | 2020-12-29T21:17:26.000Z | 0845 Enclosed Islands.py | ansabgillani/binarysearchcomproblems | 12fe8632f8cbb5058c91a55bae53afa813a3247e | [
"MIT"
] | null | null | null | 0845 Enclosed Islands.py | ansabgillani/binarysearchcomproblems | 12fe8632f8cbb5058c91a55bae53afa813a3247e | [
"MIT"
] | 4 | 2021-09-09T17:42:43.000Z | 2022-03-18T04:54:03.000Z | class Solution:
def solve(self, matrix):
total = sum(sum(row) for row in matrix)
escapable = 0
seen = set()
for r in range(len(matrix)):
for c in [0,len(matrix[0])-1]:
if (r,c) in seen or matrix[r][c] != 1:
continue
se... | 34.285714 | 118 | 0.375 | 193 | 1,440 | 2.797927 | 0.181347 | 0.074074 | 0.074074 | 0.051852 | 0.681481 | 0.681481 | 0.681481 | 0.681481 | 0.681481 | 0.681481 | 0 | 0.035667 | 0.474306 | 1,440 | 41 | 119 | 35.121951 | 0.677675 | 0 | 0 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0 | 0 | 0.09375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e3640498efe5c016bf8f9c846cc60df457386d0 | 1,851 | py | Python | aslprep/workflows/asl/__init__.py | lawlessrd/aslprep | 22ec61f482cc3561f4fd35d769af0fe8bc2e80cb | [
"BSD-3-Clause"
] | 2 | 2022-03-18T18:31:12.000Z | 2022-03-18T18:31:26.000Z | aslprep/workflows/asl/__init__.py | kha-dija1/aslprep | ce1ed4a8fa23f64aaa7d6bb0977582586e6a7039 | [
"BSD-3-Clause"
] | null | null | null | aslprep/workflows/asl/__init__.py | kha-dija1/aslprep | ce1ed4a8fa23f64aaa7d6bb0977582586e6a7039 | [
"BSD-3-Clause"
] | 1 | 2020-04-13T20:04:21.000Z | 2020-04-13T20:04:21.000Z | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
Pre-processing ASL - ASL signal workflows
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. automodule:: aslprep.workflows.asl.base
.. automodule:: aslprep.workflows.asl.hmc
.. automodule:: aslprep.workf... | 25.708333 | 73 | 0.715289 | 273 | 1,851 | 4.351648 | 0.208791 | 0.156566 | 0.143939 | 0.195286 | 0.414983 | 0.362795 | 0.272727 | 0.170034 | 0.138047 | 0.138047 | 0 | 0.007737 | 0.162075 | 1,851 | 71 | 74 | 26.070423 | 0.758221 | 0.300378 | 0 | 0 | 0 | 0 | 0.286048 | 0.087295 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.204082 | 0 | 0.204082 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e3d14109157108b5c3dc00987ba58f556abc820 | 2,665 | py | Python | methods/model_n.py | behrouzsh/deepPhosAPI | af3b3670fd583891aa70aa523556b395cca7cd96 | [
"MIT"
] | null | null | null | methods/model_n.py | behrouzsh/deepPhosAPI | af3b3670fd583891aa70aa523556b395cca7cd96 | [
"MIT"
] | 4 | 2020-09-26T00:45:30.000Z | 2022-02-10T01:39:36.000Z | methods/model_n.py | behrouzsh/deepPhosAPI | af3b3670fd583891aa70aa523556b395cca7cd96 | [
"MIT"
] | null | null | null | import functools
import itertools
import os
import random
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from sklearn import metrics
from sklearn import preprocessing
from sklearn.model_selection import train_test_split, KFold, cross_val_score
from keras.layers import Dense,... | 30.284091 | 101 | 0.65666 | 351 | 2,665 | 4.737892 | 0.404558 | 0.043295 | 0.02706 | 0.025256 | 0.032471 | 0.032471 | 0.032471 | 0.032471 | 0 | 0 | 0 | 0.043022 | 0.249906 | 2,665 | 87 | 102 | 30.632184 | 0.788894 | 0.077298 | 0 | 0 | 0 | 0 | 0.017984 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016667 | false | 0 | 0.333333 | 0 | 0.366667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
9e3d72bbe359dbb1c4d93cec5c822d7e00f2ba60 | 2,952 | py | Python | models/MAF.py | mahkons/Dreamer | 1e979d22a74347fef7d9f179d5df1ccee8e34277 | [
"MIT"
] | null | null | null | models/MAF.py | mahkons/Dreamer | 1e979d22a74347fef7d9f179d5df1ccee8e34277 | [
"MIT"
] | null | null | null | models/MAF.py | mahkons/Dreamer | 1e979d22a74347fef7d9f179d5df1ccee8e34277 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torchvision.transforms as T
from .MADE import MADE
from .Shuffle import Shuffle
from .Flow import SequentialConditionalFlow
from .NormFunctions import ActNorm, RunningBatchNorm1d
from utils.logger import log
class MAF(nn.Module):
def __init__(self, flow_dim, condition_dim... | 33.545455 | 101 | 0.628726 | 361 | 2,952 | 4.961219 | 0.310249 | 0.039084 | 0.024567 | 0.031826 | 0.075935 | 0.051368 | 0.035734 | 0 | 0 | 0 | 0 | 0.012284 | 0.25542 | 2,952 | 87 | 102 | 33.931034 | 0.802548 | 0.004743 | 0 | 0.0625 | 0 | 0 | 0.016866 | 0 | 0 | 0 | 0 | 0.011494 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.328125 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e4012a15b6caf8d1970dc79d0509a7c75e6d342 | 1,556 | py | Python | sdk/python/pulumi_okta/profile/_inputs.py | brinnehlops/pulumi-okta | 798be92b13233d23736016b7ae78f256d5c95c06 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_okta/profile/_inputs.py | brinnehlops/pulumi-okta | 798be92b13233d23736016b7ae78f256d5c95c06 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_okta/profile/_inputs.py | brinnehlops/pulumi-okta | 798be92b13233d23736016b7ae78f256d5c95c06 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
from .. import ... | 28.814815 | 87 | 0.645887 | 192 | 1,556 | 5.046875 | 0.34375 | 0.113519 | 0.130031 | 0.068111 | 0.277606 | 0.21259 | 0.184727 | 0.150671 | 0 | 0 | 0 | 0.000831 | 0.226864 | 1,556 | 53 | 88 | 29.358491 | 0.804655 | 0.113753 | 0 | 0.128205 | 1 | 0 | 0.070648 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.179487 | false | 0 | 0.128205 | 0.076923 | 0.410256 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e4825a3ab7dc66d60d304e5d35504619771260c | 28,220 | py | Python | snpdb/models/models_variant.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 5 | 2021-01-14T03:34:42.000Z | 2022-03-07T15:34:18.000Z | snpdb/models/models_variant.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 551 | 2020-10-19T00:02:38.000Z | 2022-03-30T02:18:22.000Z | snpdb/models/models_variant.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | null | null | null | import collections
import logging
import re
from typing import Optional, Pattern, Tuple, Iterable, Set
import django.dispatch
from django.conf import settings
from django.contrib.auth.models import User
from django.db import models, IntegrityError
from django.db.models import Value as V, QuerySet, F
from django.db.mod... | 42.372372 | 131 | 0.686286 | 3,493 | 28,220 | 5.313484 | 0.146865 | 0.041487 | 0.018588 | 0.00819 | 0.275 | 0.225485 | 0.182274 | 0.150377 | 0.125808 | 0.108459 | 0 | 0.003567 | 0.225124 | 28,220 | 665 | 132 | 42.43609 | 0.845201 | 0.136605 | 0 | 0.206452 | 0 | 0 | 0.078016 | 0.026991 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163441 | false | 0.004301 | 0.066667 | 0.07957 | 0.544086 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
9e49cdcbed80ab12a7df08b54018ae769a9572c1 | 553 | py | Python | setup.py | KaiAnalytics/qualtrics_mailer | feb6796b7d6c3418a0b4be6d2b9409f4ead8f452 | [
"MIT"
] | 6 | 2017-11-19T20:49:32.000Z | 2021-02-02T21:27:49.000Z | setup.py | KaiAnalytics/qualtrics-mailer | feb6796b7d6c3418a0b4be6d2b9409f4ead8f452 | [
"MIT"
] | 4 | 2018-08-17T08:49:29.000Z | 2021-03-01T01:16:48.000Z | setup.py | KaiAnalytics/qualtrics-mailer | feb6796b7d6c3418a0b4be6d2b9409f4ead8f452 | [
"MIT"
] | 5 | 2018-04-19T23:16:14.000Z | 2021-07-29T18:28:51.000Z | from setuptools import setup
setup(
name='qualtrics_mailer',
version='0.1',
description='A package for distributing pre-built surveys in Qualtrics',
keywords='qualtrics survey',
url='http://github.com/kaianalytics/qualtrics_mailer',
author='Kai Analytics',
author_email='info@kaianalytics.co... | 23.041667 | 76 | 0.632911 | 57 | 553 | 6.035088 | 0.824561 | 0.130814 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009501 | 0.238698 | 553 | 23 | 77 | 24.043478 | 0.807601 | 0 | 0 | 0.136364 | 0 | 0 | 0.439421 | 0.037975 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.045455 | 0 | 0.045455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e4b914b4046ddb856ce341d0dc1212df19c3305 | 765 | py | Python | models/__init__.py | respect5716/Tensorflow_Cifar10 | cddb193646acbdf37248f46e03ae16af1b4c436e | [
"MIT"
] | null | null | null | models/__init__.py | respect5716/Tensorflow_Cifar10 | cddb193646acbdf37248f46e03ae16af1b4c436e | [
"MIT"
] | null | null | null | models/__init__.py | respect5716/Tensorflow_Cifar10 | cddb193646acbdf37248f46e03ae16af1b4c436e | [
"MIT"
] | null | null | null | import tensorflow as tf
from .vgg import *
from .resnet import *
from .resnext import *
from .preact_resnet import *
from .densenet import *
from .dpn import *
from .dla import *
from .senet import *
def create_model(model_name, initializer, weight_decay):
model_dict = {
'vgg': VGG11,
'resnet': R... | 23.90625 | 56 | 0.637908 | 82 | 765 | 5.804878 | 0.463415 | 0.147059 | 0.067227 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031414 | 0.25098 | 765 | 32 | 57 | 23.90625 | 0.799302 | 0 | 0 | 0 | 0 | 0 | 0.109661 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.321429 | 0 | 0.392857 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
9e4bde9cd2e9b03b0b769a336afe9af52ab52eb5 | 4,703 | py | Python | scripts-test/server-zmq.py | freewebfish/lightweight-human-pose-estimation-3d-demo.pytorch | a75759b2950ecfd60c686b8b58f0184b3c8306d6 | [
"Apache-2.0"
] | null | null | null | scripts-test/server-zmq.py | freewebfish/lightweight-human-pose-estimation-3d-demo.pytorch | a75759b2950ecfd60c686b8b58f0184b3c8306d6 | [
"Apache-2.0"
] | null | null | null | scripts-test/server-zmq.py | freewebfish/lightweight-human-pose-estimation-3d-demo.pytorch | a75759b2950ecfd60c686b8b58f0184b3c8306d6 | [
"Apache-2.0"
] | null | null | null | #
# Hello World server in Python
# Binds REP socket to tcp://*:5555
# Expects b"Hello" from client, replies with b"World"
#
import time
import zmq
import cv2
import json
# define message protocol with Unity client
msgClientAlive = "UNITY_CLIENT_ALIVE"
msgClientParam = "{\"cam_id\":"
msgClientReady = "UNITY_CLIE... | 58.061728 | 1,961 | 0.536679 | 660 | 4,703 | 3.74697 | 0.374242 | 0.030732 | 0.029114 | 0.032754 | 0.194096 | 0.148807 | 0.148807 | 0.126163 | 0.126163 | 0.069551 | 0 | 0.110634 | 0.208165 | 4,703 | 81 | 1,962 | 58.061728 | 0.553437 | 0.167553 | 0 | 0 | 0 | 0.042553 | 0.245118 | 0.019527 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085106 | 0 | 0.085106 | 0.085106 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e4f3003003462353774f65fd4ed0b78e70b6674 | 759 | py | Python | understanding_loop_control.py | brucestull/PythonLearning | 8520bf0237ef0df53a4d9075bb349354e0c01506 | [
"MIT"
] | 2 | 2021-12-06T15:12:21.000Z | 2022-01-03T19:21:15.000Z | understanding_loop_control.py | brucestull/PythonLearning | 8520bf0237ef0df53a4d9075bb349354e0c01506 | [
"MIT"
] | null | null | null | understanding_loop_control.py | brucestull/PythonLearning | 8520bf0237ef0df53a4d9075bb349354e0c01506 | [
"MIT"
] | null | null | null | # Second edit.
# Added feature_01.
# Create two nested 'for' loops.
for x in range(1,5):
print(f"Start of x:{x} loop.")
for y in range(1,5):
print(f"Start of y:{y} loop.")
if y == 3:
print(x, y, 'breaking')
# print("Only 'break' out of inner 'y' loop.")
break
... | 36.142857 | 73 | 0.550725 | 113 | 759 | 3.690265 | 0.424779 | 0.047962 | 0.038369 | 0.043165 | 0.42446 | 0.326139 | 0.326139 | 0.326139 | 0.220624 | 0 | 0 | 0.013183 | 0.300395 | 759 | 20 | 74 | 37.95 | 0.772128 | 0.28195 | 0 | 0 | 0 | 0 | 0.433086 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.571429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
9e51ef336e16d09bf56b85c49286dc94c6936295 | 850 | py | Python | setup.py | timniven/hsdbi | a3974972a728f631f9cbced1cf8d88e9ccc37c47 | [
"MIT"
] | null | null | null | setup.py | timniven/hsdbi | a3974972a728f631f9cbced1cf8d88e9ccc37c47 | [
"MIT"
] | null | null | null | setup.py | timniven/hsdbi | a3974972a728f631f9cbced1cf8d88e9ccc37c47 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
# python setup.py sdist upload -r pypi
setup(
name='hsdbi',
packages=find_packages(exclude=['testing']),
version='0.1a18',
description='A simple interface for accessing databases.',
author='Tim Niven',
author_email='tim.niven.public@gmail.com',
... | 28.333333 | 75 | 0.64 | 92 | 850 | 5.858696 | 0.717391 | 0.044527 | 0.051948 | 0.06308 | 0.111317 | 0.111317 | 0 | 0 | 0 | 0 | 0 | 0.01506 | 0.218824 | 850 | 29 | 76 | 29.310345 | 0.796687 | 0.042353 | 0 | 0 | 0 | 0 | 0.522167 | 0.03202 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.041667 | 0 | 0.041667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e5426fd463d1fea19b86c91e0b6ff01849c5c96 | 309 | py | Python | examples/simpleApp.py | tgolsson/appJar | 5e2f8bff44e927e7c2bae17fccddc6dbf79952f0 | [
"Apache-2.0"
] | 666 | 2016-11-14T18:17:40.000Z | 2022-03-29T03:53:22.000Z | examples/simpleApp.py | tgolsson/appJar | 5e2f8bff44e927e7c2bae17fccddc6dbf79952f0 | [
"Apache-2.0"
] | 598 | 2016-10-20T21:04:09.000Z | 2022-03-15T22:44:49.000Z | examples/simpleApp.py | tgolsson/appJar | 5e2f8bff44e927e7c2bae17fccddc6dbf79952f0 | [
"Apache-2.0"
] | 95 | 2017-01-19T12:23:58.000Z | 2022-03-06T18:16:21.000Z | # import the library
from appJar import gui
app = gui() # top slice - CREATE the GUI
app.addLabel("title", "Welcome to appJar") # add a label
app.setLabelBg("title", "red") # set the label's background to be red
app.go() # bottom slice - START the GUI
| 30.9 | 86 | 0.576052 | 42 | 309 | 4.238095 | 0.619048 | 0.067416 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.326861 | 309 | 9 | 87 | 34.333333 | 0.855769 | 0.398058 | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 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 | 0 | 0 | 0 | 0 | 0 | 1 |
9e585bd00bab643c5036f898001316c81db85859 | 933 | py | Python | examples/plot_read_raw_data.py | arokem/mne-python | 588aba1a35fb448978872f179d479839448352fd | [
"BSD-3-Clause"
] | null | null | null | examples/plot_read_raw_data.py | arokem/mne-python | 588aba1a35fb448978872f179d479839448352fd | [
"BSD-3-Clause"
] | null | null | null | examples/plot_read_raw_data.py | arokem/mne-python | 588aba1a35fb448978872f179d479839448352fd | [
"BSD-3-Clause"
] | null | null | null | """
==========================
Reading a raw file segment
==========================
"""
# Author: Alexandre Gramfort <gramfort@nmr.mgh.harvard.edu>
#
# License: BSD (3-clause)
print __doc__
import os
from mne import fiff
fname = os.environ['MNE_SAMPLE_DATASET_PATH']
fname += '/MEG/sample/sample_audvis_raw.fif'
raw... | 23.923077 | 79 | 0.613076 | 133 | 933 | 4.135338 | 0.503759 | 0.08 | 0.101818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026829 | 0.121115 | 933 | 38 | 80 | 24.552632 | 0.643902 | 0.215434 | 0 | 0 | 0 | 0 | 0.176577 | 0.100901 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.166667 | null | null | 0.055556 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e5b3111503a5a1fe2e1b84795bfc993be669bf2 | 1,247 | py | Python | tool_test/test_v_output4_8_get_map_zip_data.py | BerkeleyLibrary/geodata_pre_ingest | fed3a7e4f3018c05612628fe6988d7864e086f56 | [
"MIT"
] | null | null | null | tool_test/test_v_output4_8_get_map_zip_data.py | BerkeleyLibrary/geodata_pre_ingest | fed3a7e4f3018c05612628fe6988d7864e086f56 | [
"MIT"
] | null | null | null | tool_test/test_v_output4_8_get_map_zip_data.py | BerkeleyLibrary/geodata_pre_ingest | fed3a7e4f3018c05612628fe6988d7864e086f56 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
import sys
import shutil
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from pre_ingestion import zip_data,geo_helper,par,validate_csv
dirname = os.path.dirname(__file__).replace("test","test_data")
def main():
try:
geo_ext_list = _EXT = [".... | 34.638889 | 101 | 0.579791 | 145 | 1,247 | 4.558621 | 0.468966 | 0.045386 | 0.081694 | 0.051437 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003444 | 0.301524 | 1,247 | 35 | 102 | 35.628571 | 0.755454 | 0.012831 | 0 | 0 | 0 | 0 | 0.089431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.148148 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e5bc30970ec994fc44c59ed169e31c578d5b9e6 | 352 | py | Python | codebasin/walkers/tree_walker.py | jasonsewall-intel/code-base-investigator | 8cf4d51ebfde85d508641f601f7cd3eb1a5c8c3c | [
"BSD-3-Clause"
] | 17 | 2019-07-24T21:17:52.000Z | 2022-03-22T01:15:46.000Z | codebasin/walkers/tree_walker.py | jasonsewall-intel/code-base-investigator | 8cf4d51ebfde85d508641f601f7cd3eb1a5c8c3c | [
"BSD-3-Clause"
] | 1 | 2022-03-11T13:11:41.000Z | 2022-03-11T13:11:41.000Z | codebasin/walkers/tree_walker.py | jasonsewall-intel/code-base-investigator | 8cf4d51ebfde85d508641f601f7cd3eb1a5c8c3c | [
"BSD-3-Clause"
] | 7 | 2019-07-24T21:27:42.000Z | 2022-03-21T22:47:34.000Z | # Copyright (C) 2019 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause
import logging
import collections
log = logging.getLogger('codebasin')
class TreeWalker():
"""
Generic tree walker class.
"""
def __init__(self, _tree, _node_associations):
self.tree = _tree
self._node_as... | 19.555556 | 52 | 0.701705 | 39 | 352 | 6.025641 | 0.692308 | 0.204255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017794 | 0.201705 | 352 | 17 | 53 | 20.705882 | 0.818505 | 0.289773 | 0 | 0 | 0 | 0 | 0.038627 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e5c485c5bebb3af5bc1751cd6893fdf78cb74b7 | 670 | py | Python | daiquiri/files/migrations/0002_depth.py | agy-why/daiquiri | 4d3e2ce51e202d5a8f1df404a0094a4e018dcb4d | [
"Apache-2.0"
] | 14 | 2018-12-23T18:35:02.000Z | 2021-12-15T04:55:12.000Z | daiquiri/files/migrations/0002_depth.py | agy-why/daiquiri | 4d3e2ce51e202d5a8f1df404a0094a4e018dcb4d | [
"Apache-2.0"
] | 40 | 2018-12-20T12:44:05.000Z | 2022-03-21T11:35:20.000Z | daiquiri/files/migrations/0002_depth.py | agy-why/daiquiri | 4d3e2ce51e202d5a8f1df404a0094a4e018dcb4d | [
"Apache-2.0"
] | 5 | 2019-05-16T08:03:35.000Z | 2021-08-23T20:03:11.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-01-09 14:58
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('daiquiri_files', '0001_initial'),
]
operations = [
migrations.AddField(
... | 25.769231 | 120 | 0.604478 | 72 | 670 | 5.458333 | 0.736111 | 0.045802 | 0.091603 | 0.111959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051335 | 0.273134 | 670 | 25 | 121 | 26.8 | 0.755647 | 0.101493 | 0 | 0.222222 | 1 | 0 | 0.131886 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e5cca57af90b5ef2e9ad6c0d89e3ea178e12603 | 3,130 | py | Python | webserver.py | Linerly/linerlybot-rewritten | e89c11c21a7591f1d4ccf1addcb554f4894827f1 | [
"MIT"
] | 3 | 2021-05-25T07:55:45.000Z | 2021-08-14T22:39:22.000Z | webserver.py | Linerly/linerlybot-rewritten | e89c11c21a7591f1d4ccf1addcb554f4894827f1 | [
"MIT"
] | 1 | 2021-08-16T18:56:41.000Z | 2021-08-16T23:56:39.000Z | webserver.py | Linerly/linerlybot-rewritten | e89c11c21a7591f1d4ccf1addcb554f4894827f1 | [
"MIT"
] | 1 | 2021-08-16T18:29:40.000Z | 2021-08-16T18:29:40.000Z | from threading import Thread
from flask import Flask
app = Flask("")
@app.route("/")
def home():
return """
<!DOCTYPE="html">
<html>
<head>
<link rel="icon" href="https://linerly.github.io/assets/linerlybot/linerlybot.png" type="image/png">
<title>LinerlyBot Repl Page</t... | 37.710843 | 299 | 0.59393 | 398 | 3,130 | 4.665829 | 0.444724 | 0.038772 | 0.037695 | 0.048465 | 0.152396 | 0.082391 | 0.031233 | 0.031233 | 0 | 0 | 0 | 0.05023 | 0.236741 | 3,130 | 82 | 300 | 38.170732 | 0.727082 | 0 | 0 | 0.114754 | 0 | 0.180328 | 0.928435 | 0.01278 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04918 | false | 0 | 0.04918 | 0.016393 | 0.114754 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e67d76f8c869967dca8eedfff1d0bf6565c9da6 | 5,609 | py | Python | app/tests/courses/factories.py | Valaraucoo/raven | 0157e193baf569be9479a78838dc26d77a11a99d | [
"BSD-3-Clause"
] | 3 | 2020-12-27T21:52:52.000Z | 2021-08-23T10:26:10.000Z | app/tests/courses/factories.py | Valaraucoo/raven | 0157e193baf569be9479a78838dc26d77a11a99d | [
"BSD-3-Clause"
] | 12 | 2020-12-22T22:36:28.000Z | 2021-01-18T13:39:34.000Z | app/tests/courses/factories.py | Valaraucoo/raven | 0157e193baf569be9479a78838dc26d77a11a99d | [
"BSD-3-Clause"
] | 2 | 2020-12-27T21:52:39.000Z | 2021-11-18T08:08:25.000Z | import datetime
import random
import factory
import factory.fuzzy as fuzzy
from django.core.files.base import ContentFile
from courses import models
from courses.models import LANGUAGE_CHOICES, PROFILE_CHOICES
from tests.users import factories as users_factories
from users import models as users_models
PROFILE_CHOIC... | 32.610465 | 86 | 0.694598 | 607 | 5,609 | 6.345964 | 0.217463 | 0.075026 | 0.088525 | 0.102804 | 0.627466 | 0.559709 | 0.516355 | 0.376428 | 0.323988 | 0.298027 | 0 | 0.012396 | 0.20895 | 5,609 | 172 | 87 | 32.610465 | 0.855758 | 0 | 0 | 0.521739 | 0 | 0 | 0.015865 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021739 | false | 0 | 0.065217 | 0 | 0.652174 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
9e68a0ead84aad708c90ff98f2a1ddf8c30a354c | 1,512 | py | Python | geotrek/common/tests/__init__.py | ker2x/Geotrek-admin | 78e154894d1d78dbb35789285c7def8deaaa2dd3 | [
"BSD-2-Clause"
] | null | null | null | geotrek/common/tests/__init__.py | ker2x/Geotrek-admin | 78e154894d1d78dbb35789285c7def8deaaa2dd3 | [
"BSD-2-Clause"
] | null | null | null | geotrek/common/tests/__init__.py | ker2x/Geotrek-admin | 78e154894d1d78dbb35789285c7def8deaaa2dd3 | [
"BSD-2-Clause"
] | null | null | null | # -*- encoding: utf-8 -*-
from django.utils import translation
from django.utils.translation import ugettext as _
# Workaround https://code.djangoproject.com/ticket/22865
from geotrek.common.models import FileType # NOQA
from mapentity.tests import MapEntityTest
from geotrek.authent.factories import StructureFacto... | 33.6 | 78 | 0.707672 | 173 | 1,512 | 6.057803 | 0.445087 | 0.031489 | 0.028626 | 0.034351 | 0.219466 | 0.156489 | 0.156489 | 0.093511 | 0.093511 | 0.093511 | 0 | 0.007317 | 0.186508 | 1,512 | 44 | 79 | 34.363636 | 0.844715 | 0.054894 | 0 | 0.193548 | 0 | 0 | 0.042105 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 1 | 0.129032 | false | 0 | 0.193548 | 0.032258 | 0.516129 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
9e70a890b82ec1162ff87882d764312cd753108e | 2,629 | py | Python | python_modules/dagster/dagster/core/snap/repository_snapshot.py | flowersw/dagster | 0de6baf2bd6a41bfacf0be532b954e23305fb6b4 | [
"Apache-2.0"
] | 3 | 2020-09-09T04:10:23.000Z | 2021-11-08T02:10:42.000Z | python_modules/dagster/dagster/core/snap/repository_snapshot.py | flowersw/dagster | 0de6baf2bd6a41bfacf0be532b954e23305fb6b4 | [
"Apache-2.0"
] | 2 | 2021-05-11T13:36:27.000Z | 2021-09-03T01:53:11.000Z | python_modules/dagster/dagster/core/snap/repository_snapshot.py | flowersw/dagster | 0de6baf2bd6a41bfacf0be532b954e23305fb6b4 | [
"Apache-2.0"
] | null | null | null | from collections import OrderedDict, namedtuple
from dagster import RepositoryDefinition, check
from dagster.core.snap.pipeline_snapshot import PipelineIndex, PipelineSnapshot
from dagster.serdes import whitelist_for_serdes
class RepositoryIndex:
def __init__(self, repository_snapshot):
self.repository_s... | 37.557143 | 100 | 0.71396 | 267 | 2,629 | 6.659176 | 0.198502 | 0.094488 | 0.038245 | 0.044994 | 0.266592 | 0.191226 | 0.151856 | 0.151856 | 0.151856 | 0.151856 | 0 | 0 | 0.222138 | 2,629 | 69 | 101 | 38.101449 | 0.869438 | 0 | 0 | 0.142857 | 0 | 0 | 0.056295 | 0.007988 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.071429 | 0.107143 | 0.464286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
9e773e8401e68a80c8d3ee3e342f0e24c4102be6 | 5,702 | py | Python | portal/portal/legacy/operators.py | sneaxiy/PaddlePaddle.org | 84927c672d292e3a79051e988c8e39b70a92ab6a | [
"Apache-2.0"
] | 47 | 2017-09-14T01:18:36.000Z | 2022-02-14T01:41:31.000Z | portal/portal/legacy/operators.py | sneaxiy/PaddlePaddle.org | 84927c672d292e3a79051e988c8e39b70a92ab6a | [
"Apache-2.0"
] | 371 | 2017-09-14T00:47:48.000Z | 2022-03-11T23:19:17.000Z | portal/portal/legacy/operators.py | sneaxiy/PaddlePaddle.org | 84927c672d292e3a79051e988c8e39b70a92ab6a | [
"Apache-2.0"
] | 45 | 2017-09-17T01:44:49.000Z | 2022-02-14T01:44:21.000Z | import json
import os
import re
import codecs
from bs4 import BeautifulSoup
from django.template import Template, Context
import markdown
from deploy.utils import reserve_formulas, MARKDOWN_EXTENSIONS
OPERATOR_TEMPLATE = '<div class="section" id="{{ type }}">' + (
'<h2>{{ type }}</h2>') + (
'<dl cla... | 42.87218 | 326 | 0.589092 | 644 | 5,702 | 5.031056 | 0.265528 | 0.055556 | 0.031481 | 0.015741 | 0.262346 | 0.24537 | 0.16821 | 0.148457 | 0.124074 | 0.101852 | 0 | 0.00477 | 0.264644 | 5,702 | 132 | 327 | 43.19697 | 0.767947 | 0.021747 | 0 | 0.133333 | 0 | 0.055556 | 0.335351 | 0.074849 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.088889 | null | null | 0.044444 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e785e76437075b5060097c7d805d7aab28d1343 | 986 | py | Python | crawl.py | doudounannan/python-crawl | 4c10e4b99f40203507f5c5e83d5ab0760c559289 | [
"MIT"
] | null | null | null | crawl.py | doudounannan/python-crawl | 4c10e4b99f40203507f5c5e83d5ab0760c559289 | [
"MIT"
] | null | null | null | crawl.py | doudounannan/python-crawl | 4c10e4b99f40203507f5c5e83d5ab0760c559289 | [
"MIT"
] | null | null | null | import requests, urllib, urllib2, os
from bs4 import BeautifulSoup
import style
def getImg(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'lxml')
imgs = soup.find_all('img')
for img in imgs:
print(img.get('src'))
def downloadImg(imgUrl, targetUrl):
arr = imgUrl.spl... | 36.518519 | 128 | 0.656187 | 126 | 986 | 5.087302 | 0.611111 | 0.049922 | 0.081123 | 0.056162 | 0.078003 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02963 | 0.178499 | 986 | 26 | 129 | 37.923077 | 0.761728 | 0 | 0 | 0 | 0 | 0 | 0.208925 | 0.028398 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.136364 | null | null | 0.136364 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e7a0d67a924666aca302dd0bff0bf920840922b | 16,924 | py | Python | Badger/DataLoader/AMGA/readAttributes.py | zhangxt-ihep/IHEPDIRAC | fb53500a998adc43ff0c65c02caf492da2965de5 | [
"MIT"
] | null | null | null | Badger/DataLoader/AMGA/readAttributes.py | zhangxt-ihep/IHEPDIRAC | fb53500a998adc43ff0c65c02caf492da2965de5 | [
"MIT"
] | 1 | 2021-03-04T08:48:38.000Z | 2021-03-04T08:48:38.000Z | Badger/DataLoader/AMGA/readAttributes.py | zhangxt-ihep/IHEPDIRAC | fb53500a998adc43ff0c65c02caf492da2965de5 | [
"MIT"
] | 2 | 2020-08-26T06:36:51.000Z | 2021-03-04T08:08:34.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# author: linlei
#for data/all name of file like run_0023454_All_file014_SFO-2.dst
#for data/skim & mc, we use new file naming rule,
#file name like resonance_eventType_streamId_runL_runH_*.dst
import os
import os.path
import ROOT
from ROOT import gROOT
from amga import ... | 34.609407 | 169 | 0.568364 | 1,833 | 16,924 | 5.208947 | 0.166939 | 0.024194 | 0.008798 | 0.013196 | 0.367093 | 0.339443 | 0.308127 | 0.275974 | 0.24822 | 0.226644 | 0 | 0.020574 | 0.322205 | 16,924 | 488 | 170 | 34.680328 | 0.811786 | 0.221579 | 0 | 0.424028 | 0 | 0.017668 | 0.178247 | 0.045479 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.031802 | null | null | 0.056537 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e7d2d5ebba3eb5aa9241ab5ee3421fd963e7b25 | 5,574 | py | Python | openuav-app/dockerfiles/openuav_sample/ros-setups/intel-edison/setpoint_demo.py | harishanand95/openuav-playground | dea503f42e5c2c5ef89f81ceb3616dd6395e05f4 | [
"Apache-2.0"
] | 23 | 2018-01-09T23:43:29.000Z | 2021-08-15T12:25:54.000Z | openuav-app/dockerfiles/openuav_sample/ros-setups/intel-edison/setpoint_demo.py | harishanand95/openuav-playground | dea503f42e5c2c5ef89f81ceb3616dd6395e05f4 | [
"Apache-2.0"
] | 14 | 2018-01-09T16:40:14.000Z | 2020-07-22T01:20:45.000Z | openuav-app/dockerfiles/openuav_sample/ros-setups/intel-edison/setpoint_demo.py | harishanand95/openuav-playground | dea503f42e5c2c5ef89f81ceb3616dd6395e05f4 | [
"Apache-2.0"
] | 16 | 2018-02-22T17:08:12.000Z | 2021-01-05T07:27:02.000Z | #!/usr/bin/env python
# vim:set ts=4 sw=4 et:
#
#
# ****************************************************************************
# *
# * Copyright (c) 2015 UAVenture AG. All rights reserved.
# * Author: Simon Wilks <simon@uaventure.com>
# *
# * Redistribution and use in source and binary forms, with or without
# * ... | 30.12973 | 149 | 0.59652 | 789 | 5,574 | 4.163498 | 0.326996 | 0.028006 | 0.024658 | 0.018265 | 0.20761 | 0.147641 | 0.140335 | 0.115373 | 0.080365 | 0.0414 | 0 | 0.037019 | 0.273053 | 5,574 | 184 | 150 | 30.293478 | 0.773692 | 0.364191 | 0 | 0.114286 | 0 | 0 | 0.051744 | 0.016867 | 0 | 0 | 0 | 0.005435 | 0 | 0 | null | null | 0.009524 | 0.104762 | null | null | 0.085714 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e863e4e4a3d349e93e1e77f85b42816367fb8d2 | 119 | py | Python | strings/split_join.py | janbodnar/Python-Course | 51705ab5a2adef52bcdb99a800e94c0d67144a38 | [
"BSD-2-Clause"
] | 13 | 2017-08-22T12:26:07.000Z | 2021-07-29T16:13:50.000Z | strings/split_join.py | janbodnar/Python-Course | 51705ab5a2adef52bcdb99a800e94c0d67144a38 | [
"BSD-2-Clause"
] | 1 | 2021-02-08T10:24:33.000Z | 2021-02-08T10:24:33.000Z | strings/split_join.py | janbodnar/Python-Course | 51705ab5a2adef52bcdb99a800e94c0d67144a38 | [
"BSD-2-Clause"
] | 17 | 2018-08-13T11:10:33.000Z | 2021-07-29T16:14:02.000Z | #!/usr/bin/python
# split_join.py
nums = "1,5,6,8,2,3,1,9"
n = nums.split(",")
print (n)
m = ':'.join(n)
print (m)
| 9.916667 | 24 | 0.537815 | 25 | 119 | 2.52 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080808 | 0.168067 | 119 | 11 | 25 | 10.818182 | 0.555556 | 0.252101 | 0 | 0 | 0 | 0 | 0.195402 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e8e89bf23225508d65aca2604fea81357d394f6 | 281 | py | Python | check_db_connection.py | dondemonz/python_training_mantis | b327ba1c057685aa6381c3afd882d9dec58b0cfc | [
"Apache-2.0"
] | null | null | null | check_db_connection.py | dondemonz/python_training_mantis | b327ba1c057685aa6381c3afd882d9dec58b0cfc | [
"Apache-2.0"
] | null | null | null | check_db_connection.py | dondemonz/python_training_mantis | b327ba1c057685aa6381c3afd882d9dec58b0cfc | [
"Apache-2.0"
] | null | null | null | import pymysql.cursors
db = pymysql.connect(host="127.0.0.1", database="bugtracker", user="root", password="")
try:
cursor = db.cursor()
cursor.execute("select * from mantis_project_table")
for row in cursor.fetchall():
print(row)
finally:
db.close() | 23.416667 | 87 | 0.654804 | 37 | 281 | 4.918919 | 0.783784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026316 | 0.188612 | 281 | 12 | 88 | 23.416667 | 0.77193 | 0 | 0 | 0 | 0 | 0 | 0.202128 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.111111 | 0.111111 | 0 | 0.111111 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
9e91d516e8673f9d8be0dde1be9675aa920ff823 | 361 | py | Python | searching/search_in_sorter_matrix.py | maanavshah/coding-interview | 4c842cdbc6870da79684635f379966d1caec2162 | [
"MIT"
] | null | null | null | searching/search_in_sorter_matrix.py | maanavshah/coding-interview | 4c842cdbc6870da79684635f379966d1caec2162 | [
"MIT"
] | null | null | null | searching/search_in_sorter_matrix.py | maanavshah/coding-interview | 4c842cdbc6870da79684635f379966d1caec2162 | [
"MIT"
] | null | null | null | # O(m + n) time | O(1) space
# m is row and n is col
def searchInSortedMatrix(matrix, target):
row = 0
col = len(matrix[0]) - 1
while row < len(matrix) and col > -1:
if target == matrix[row][col]:
return [row, col]
if target > matrix[row][col]:
row += 1
else:
... | 25.785714 | 41 | 0.493075 | 53 | 361 | 3.358491 | 0.377358 | 0.101124 | 0.157303 | 0.191011 | 0.224719 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039301 | 0.365651 | 361 | 13 | 42 | 27.769231 | 0.737991 | 0.132964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.272727 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9e95ad5cb176b94bcfe9b08dcb6515e30b96d146 | 505 | py | Python | ex43.py | Marcelo1080p/cev | 48c092af47fe822ef04ff5d3a203bd64dd07b431 | [
"MIT"
] | null | null | null | ex43.py | Marcelo1080p/cev | 48c092af47fe822ef04ff5d3a203bd64dd07b431 | [
"MIT"
] | null | null | null | ex43.py | Marcelo1080p/cev | 48c092af47fe822ef04ff5d3a203bd64dd07b431 | [
"MIT"
] | null | null | null | peso = float(input('Qual é o seu Peso? Kg'))
altura = float(input('Qual é a sua Altura? m'))
imc = peso / (altura ** 2)
print('O seu Indice de massa muscular é {:.1f}'.format(imc))
if imc <= 18.5:
print('Você esta abaixo do Peso!')
elif imc <= 24.9:
print('Peso ideal. Parabéns!')
elif imc <= 29.9:
print('Le... | 31.5625 | 60 | 0.625743 | 85 | 505 | 3.717647 | 0.529412 | 0.110759 | 0.170886 | 0.094937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054455 | 0.2 | 505 | 16 | 61 | 31.5625 | 0.727723 | 0 | 0 | 0 | 0 | 0 | 0.432806 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
9e9a5c60b0d5cfb76945a0a123585041ce99057a | 2,950 | py | Python | neb/util.py | cstein/neb | 8bf59ef16819841d0839d6875c5935a681e0c405 | [
"MIT"
] | 20 | 2016-12-13T19:38:19.000Z | 2022-02-11T08:40:40.000Z | neb/util.py | cstein/neb | 8bf59ef16819841d0839d6875c5935a681e0c405 | [
"MIT"
] | null | null | null | neb/util.py | cstein/neb | 8bf59ef16819841d0839d6875c5935a681e0c405 | [
"MIT"
] | 6 | 2017-03-02T16:59:44.000Z | 2021-01-25T10:06:17.000Z | import numpy
""" Utility variables and functions
"""
aa2au = 1.8897261249935897 # bohr / AA
# converts nuclear charge to atom label
Z2LABEL = {
1: 'H', 2: 'He',
3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne',
11: 'NA', 12: 'Mg... | 32.417582 | 106 | 0.498983 | 488 | 2,950 | 3.016393 | 0.385246 | 0.006793 | 0.040761 | 0.01019 | 0.398098 | 0.365489 | 0.365489 | 0.365489 | 0.365489 | 0.365489 | 0 | 0.243386 | 0.359322 | 2,950 | 90 | 107 | 32.777778 | 0.53545 | 0.33661 | 0 | 0.217391 | 0 | 0 | 0.015704 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.021739 | 0 | 0.108696 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 1 |
9ea28efc7c2b8b19e846eedc25c1bb29c3fe1eae | 382 | py | Python | Tugas 0/Invoice/main.py | hafidh561/Pemrograman-Berorientasi-Objek | 55f955aaff8023d40ecfdfa407902ad42937c98e | [
"MIT"
] | null | null | null | Tugas 0/Invoice/main.py | hafidh561/Pemrograman-Berorientasi-Objek | 55f955aaff8023d40ecfdfa407902ad42937c98e | [
"MIT"
] | null | null | null | Tugas 0/Invoice/main.py | hafidh561/Pemrograman-Berorientasi-Objek | 55f955aaff8023d40ecfdfa407902ad42937c98e | [
"MIT"
] | 1 | 2020-10-22T10:54:55.000Z | 2020-10-22T10:54:55.000Z | from Invoice import Invoice
def main():
items = [Invoice("RTX 2080", "VGA", 5, 10000000), Invoice("Intel i9 10900K", "Processor", 10, 8000000)]
for item in items:
print(item.part_num)
print(item.part_desc)
print(item.quantity)
print(item.price)
print("Total tagihanmu adalah", item.get_invoice_am... | 23.875 | 105 | 0.664921 | 53 | 382 | 4.566038 | 0.660377 | 0.14876 | 0.107438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089457 | 0.180628 | 382 | 15 | 106 | 25.466667 | 0.683706 | 0 | 0 | 0 | 0 | 0 | 0.188011 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.181818 | 0.454545 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
9eb3db5c72086aa7682ce56b880faf0e8650e734 | 930 | py | Python | tests/test_shape_filter.py | fabiommendes/easymunk | 420dfc4a006997c47887f6876876249674feb3cd | [
"MIT"
] | 1 | 2021-07-02T11:59:07.000Z | 2021-07-02T11:59:07.000Z | tests/test_shape_filter.py | fabiommendes/easymunk | 420dfc4a006997c47887f6876876249674feb3cd | [
"MIT"
] | null | null | null | tests/test_shape_filter.py | fabiommendes/easymunk | 420dfc4a006997c47887f6876876249674feb3cd | [
"MIT"
] | 1 | 2022-01-14T20:18:35.000Z | 2022-01-14T20:18:35.000Z | import pickle
import easymunk as p
class TestShapeFilter:
def test_init(self) -> None:
f = p.ShapeFilter()
assert f.group == 0
assert f.categories == 0xFFFFFFFF
assert f.mask == 0xFFFFFFFF
f = p.ShapeFilter(1, 2, 3)
assert f.group == 1
assert f.categories... | 21.627907 | 59 | 0.570968 | 121 | 930 | 4.338843 | 0.322314 | 0.182857 | 0.099048 | 0.106667 | 0.114286 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048973 | 0.319355 | 930 | 42 | 60 | 22.142857 | 0.780411 | 0 | 0 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043011 | 0 | 0.366667 | 1 | 0.133333 | false | 0.066667 | 0.066667 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
9eb732dc73557673c56e38ff51c5c76c1265d122 | 1,094 | py | Python | makeIGVToolsSortScript.py | imk1/MethylationQTLCode | d193f518994074a29a39e081d470b1c67a95a527 | [
"MIT"
] | null | null | null | makeIGVToolsSortScript.py | imk1/MethylationQTLCode | d193f518994074a29a39e081d470b1c67a95a527 | [
"MIT"
] | null | null | null | makeIGVToolsSortScript.py | imk1/MethylationQTLCode | d193f518994074a29a39e081d470b1c67a95a527 | [
"MIT"
] | null | null | null | def makeIGVToolsSortScript(bismarkFileNameListFileName, suffix, scriptFileName, codePath):
# Make a script that will use gatk to convert Hapmap files to VCF files
bismarkFileNameListFile = open(bismarkFileNameListFileName)
scriptFile = open(scriptFileName, 'w+')
for line in bismarkFileNameListFile:
# Iterate th... | 42.076923 | 127 | 0.769653 | 113 | 1,094 | 7.380531 | 0.557522 | 0.033573 | 0.131894 | 0.165468 | 0.184652 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007407 | 0.136197 | 1,094 | 25 | 128 | 43.76 | 0.875132 | 0.178245 | 0 | 0 | 0 | 0 | 0.056054 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.111111 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9eb8bddb66358ebcc2b184401d2f660df4b2754c | 3,133 | py | Python | dlme_airflow/drivers/oai_xml.py | sul-dlss/dlme-airflow | a94b51419575ed35fc048b87cab60f3db66b1b79 | [
"Apache-2.0"
] | null | null | null | dlme_airflow/drivers/oai_xml.py | sul-dlss/dlme-airflow | a94b51419575ed35fc048b87cab60f3db66b1b79 | [
"Apache-2.0"
] | 72 | 2021-07-26T15:34:43.000Z | 2022-03-18T00:09:28.000Z | dlme_airflow/drivers/oai_xml.py | sul-dlss/dlme-airflow | a94b51419575ed35fc048b87cab60f3db66b1b79 | [
"Apache-2.0"
] | null | null | null | import intake
import logging
import pandas as pd
from sickle import Sickle
from lxml import etree
class OAIXmlSource(intake.source.base.DataSource):
container = "dataframe"
name = "oai_xml"
version = "0.0.1"
partition_access = True
def __init__(self, collection_url, set, dtype=None, metadata=None... | 35.602273 | 110 | 0.610278 | 368 | 3,133 | 5.013587 | 0.361413 | 0.056911 | 0.051491 | 0.039024 | 0.029268 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005333 | 0.281838 | 3,133 | 87 | 111 | 36.011494 | 0.814667 | 0.064794 | 0 | 0.085714 | 0 | 0 | 0.04788 | 0 | 0 | 0 | 0 | 0.011494 | 0 | 1 | 0.128571 | false | 0 | 0.071429 | 0.014286 | 0.371429 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9ebae0e0b803b406d2f5040810ac4746fba22612 | 1,176 | py | Python | app/routers/authentication.py | maktoobgar/fastapi | 368ef96c902831f5b72c00d737fe11e111b4f814 | [
"MIT"
] | 1 | 2021-06-13T10:10:57.000Z | 2021-06-13T10:10:57.000Z | app/routers/authentication.py | maktoobgar/fastapi | 368ef96c902831f5b72c00d737fe11e111b4f814 | [
"MIT"
] | null | null | null | app/routers/authentication.py | maktoobgar/fastapi | 368ef96c902831f5b72c00d737fe11e111b4f814 | [
"MIT"
] | null | null | null | from fastapi import APIRouter, Depends, status, HTTPException
from fastapi.security import OAuth2PasswordRequestForm
from app import schemas, database, models, token
from app.hashing import Hash
from sqlalchemy.orm import Session
from app.repository import user
router = APIRouter(prefix="/auth", tags=['Authentication'... | 39.2 | 74 | 0.722789 | 149 | 1,176 | 5.57047 | 0.416107 | 0.024096 | 0.031325 | 0.06747 | 0.13494 | 0.13494 | 0.13494 | 0.13494 | 0.13494 | 0.13494 | 0 | 0.00715 | 0.167517 | 1,176 | 29 | 75 | 40.551724 | 0.840654 | 0 | 0 | 0.086957 | 0 | 0 | 0.085034 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0.130435 | 0.26087 | 0.043478 | 0.434783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
9ec2ff4d99a55616eec001399c69ac01cfba5b3e | 293 | py | Python | hackerrank/data-structures/2d-array.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 506 | 2018-08-22T10:30:38.000Z | 2022-03-31T10:01:49.000Z | hackerrank/data-structures/2d-array.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 13 | 2019-08-07T18:31:18.000Z | 2020-12-15T21:54:41.000Z | hackerrank/data-structures/2d-array.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 234 | 2018-08-06T17:11:41.000Z | 2022-03-26T10:56:42.000Z | #!/usr/bin/env python3
# https://www.hackerrank.com/challenges/2d-array
a=[0]*6
for i in range(6): a[i]=[int(x) for x in input().split()]
c=-9*9
for i in range(1,5):
for j in range(1,5):
c=max(c,a[i-1][j-1]+a[i-1][j]+a[i-1][j+1]+a[i][j]+a[i+1][j-1]+a[i+1][j]+a[i+1][j+1])
print(c)
| 29.3 | 92 | 0.552901 | 79 | 293 | 2.050633 | 0.367089 | 0.098765 | 0.111111 | 0.148148 | 0.191358 | 0.191358 | 0.191358 | 0.191358 | 0.17284 | 0.17284 | 0 | 0.082031 | 0.12628 | 293 | 9 | 93 | 32.555556 | 0.550781 | 0.232082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b3a4a14f96f258b7e4941216efe22d316526258 | 629 | py | Python | ex6_sd3.py | jlaw8504/lp3thw | e3e5c559a0d851547acda6387eb5ff9034549e48 | [
"BSD-3-Clause"
] | null | null | null | ex6_sd3.py | jlaw8504/lp3thw | e3e5c559a0d851547acda6387eb5ff9034549e48 | [
"BSD-3-Clause"
] | null | null | null | ex6_sd3.py | jlaw8504/lp3thw | e3e5c559a0d851547acda6387eb5ff9034549e48 | [
"BSD-3-Clause"
] | null | null | null | # the other instances of formatting strings used variables that were not
# strings. To prove it, I'll use the function type to print out the
# type of each variable used in a formatted string
# recreate the variables from ex6
types_of_people = 10
x = f"There are {types_of_people} type of people."
binary = "binary"
do... | 31.45 | 72 | 0.72655 | 107 | 629 | 4.158879 | 0.448598 | 0.089888 | 0.116854 | 0.080899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005597 | 0.147854 | 629 | 19 | 73 | 33.105263 | 0.824627 | 0.391097 | 0 | 0 | 0 | 0 | 0.384615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
7b3daca7224ddf034268f3e3126de9e5ac88c9bb | 1,298 | py | Python | config.py | bert386/rpi-flask-bluez-controller | 56c5062243b0e9ce6383d5c390902f0db1ae2808 | [
"Apache-2.0"
] | null | null | null | config.py | bert386/rpi-flask-bluez-controller | 56c5062243b0e9ce6383d5c390902f0db1ae2808 | [
"Apache-2.0"
] | null | null | null | config.py | bert386/rpi-flask-bluez-controller | 56c5062243b0e9ce6383d5c390902f0db1ae2808 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
""" Singleton class to manage configuration
Description:
Todo:
"""
import json
import os
import sys
import logging
import constant
class Config(object):
# Here will be the instance stored.
__instance = None
@classmethod
def getInstance(cls):
""" Static access method.... | 25.45098 | 72 | 0.587057 | 145 | 1,298 | 5.131034 | 0.475862 | 0.080645 | 0.043011 | 0.053763 | 0.225806 | 0.225806 | 0.134409 | 0.134409 | 0.134409 | 0.134409 | 0 | 0.002242 | 0.312789 | 1,298 | 50 | 73 | 25.96 | 0.831839 | 0.130971 | 0 | 0.176471 | 0 | 0 | 0.067812 | 0 | 0 | 0 | 0 | 0.02 | 0 | 1 | 0.117647 | false | 0 | 0.147059 | 0 | 0.382353 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b3fcc413bf91795d6c1a63c01633294fc7a9067 | 3,354 | py | Python | main.py | JonathaTrue/Python_par | 32196008902bebbcf5e6c7bf39ecab8589037c44 | [
"MIT"
] | null | null | null | main.py | JonathaTrue/Python_par | 32196008902bebbcf5e6c7bf39ecab8589037c44 | [
"MIT"
] | null | null | null | main.py | JonathaTrue/Python_par | 32196008902bebbcf5e6c7bf39ecab8589037c44 | [
"MIT"
] | null | null | null | import os
clear = lambda: os.system('clear')
clear()
opcao = 1
while(opcao != 0):
print("Atividade de PARADIGMAS")
print(" 1 - QUESTÃO 01")
print(" 2 - QUESTÃO 02")
print(" 3 - QUESTÃO 03")
print(" 4 - QUESTÃO 04")
print(" 5 - QUESTÃO 05")
print(" 0 - PARA SAIR")
prin... | 29.681416 | 79 | 0.514609 | 350 | 3,354 | 4.931429 | 0.308571 | 0.057937 | 0.040556 | 0.03708 | 0.117034 | 0.066049 | 0.03708 | 0 | 0 | 0 | 0 | 0.028751 | 0.336315 | 3,354 | 113 | 80 | 29.681416 | 0.746631 | 0 | 0 | 0.211111 | 0 | 0 | 0.279063 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.033333 | 0 | 0.033333 | 0.444444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
7b409b6364cec6ff7435e55a60af3c8cd69b44ad | 30,034 | py | Python | lib/pushtree/pushtree_nfa.py | zepheira/amara | d3ffe07d6e2266b34d72b012a82d572c8edbf1e7 | [
"Apache-2.0"
] | 6 | 2015-01-30T03:50:36.000Z | 2022-03-20T16:09:58.000Z | lib/pushtree/pushtree_nfa.py | zepheira/amara | d3ffe07d6e2266b34d72b012a82d572c8edbf1e7 | [
"Apache-2.0"
] | 2 | 2015-02-04T17:18:47.000Z | 2019-09-27T23:39:52.000Z | lib/pushtree/pushtree_nfa.py | zepheira/amara | d3ffe07d6e2266b34d72b012a82d572c8edbf1e7 | [
"Apache-2.0"
] | 6 | 2015-02-04T16:16:18.000Z | 2019-10-30T20:07:48.000Z | import itertools
from amara.xpath import parser as xpath_parser
from amara.xpath import locationpaths
from amara.xpath.locationpaths import axisspecifiers
from amara.xpath.locationpaths import nodetests
from amara.xpath.functions import nodesets
from amara.xpath.expressions import booleans
import amara.xpath.expressio... | 35.968862 | 91 | 0.591563 | 3,628 | 30,034 | 4.673374 | 0.109978 | 0.022648 | 0.015099 | 0.007078 | 0.329401 | 0.218932 | 0.174167 | 0.14627 | 0.117487 | 0.101209 | 0 | 0.003102 | 0.313012 | 30,034 | 834 | 92 | 36.01199 | 0.81864 | 0.109543 | 0 | 0.268987 | 0 | 0 | 0.027701 | 0.003603 | 0 | 0 | 0 | 0.001199 | 0.033228 | 0 | null | null | 0.011076 | 0.017405 | null | null | 0.045886 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b40a3cac2c0d0e3629fcdb320cb5a694901568e | 2,666 | py | Python | test/unit/agent/pipelines/syslog.py | empiricompany/nginx-amplify-agent | 2ea46f037ef158e5d4f56f2532010c72c5f8842c | [
"BSD-2-Clause"
] | 1 | 2021-06-20T06:03:54.000Z | 2021-06-20T06:03:54.000Z | test/unit/agent/pipelines/syslog.py | SammyEnigma/nginx-amplify-agent | 81c4002c156809039933234abeb292edee3ac492 | [
"BSD-2-Clause"
] | null | null | null | test/unit/agent/pipelines/syslog.py | SammyEnigma/nginx-amplify-agent | 81c4002c156809039933234abeb292edee3ac492 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import logging
from logging.handlers import SysLogHandler
from hamcrest import *
from amplify.agent.pipelines.syslog import SyslogTail, SYSLOG_ADDRESSES, AmplifyAddresssAlreadyInUse
from test.base import BaseTestCase, disabled_test
__author__ = "Grant Hulegaard"
__copyright__ = "... | 34.179487 | 100 | 0.661665 | 336 | 2,666 | 5.089286 | 0.431548 | 0.032749 | 0.033333 | 0.024561 | 0.125731 | 0.112281 | 0.112281 | 0.074854 | 0.045614 | 0.045614 | 0 | 0.016288 | 0.24006 | 2,666 | 77 | 101 | 34.623377 | 0.827739 | 0.205551 | 0 | 0.16 | 0 | 0 | 0.105938 | 0.011876 | 0 | 0 | 0 | 0.012987 | 0.12 | 1 | 0.1 | false | 0 | 0.12 | 0 | 0.24 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b42b6238c6d7ca9b1b924d14de6f6f8987ae5b6 | 474 | py | Python | Ex_52.py | soldierloko/Curso-em-Video | d867366425f72fe15903cb17cdc222a7fe7a3831 | [
"MIT"
] | null | null | null | Ex_52.py | soldierloko/Curso-em-Video | d867366425f72fe15903cb17cdc222a7fe7a3831 | [
"MIT"
] | null | null | null | Ex_52.py | soldierloko/Curso-em-Video | d867366425f72fe15903cb17cdc222a7fe7a3831 | [
"MIT"
] | null | null | null | #Faça um programa que leia um número inteiro e diga se ele é ou não um número primo.
num = int(input('Digite um número: '))
tot = 0
for i in range(1,num+1):
if num % i == 0:
print('\033[33m', end='')
tot += 1
else:
print('\033[31m', end='')
print('{} '.format(i), end='')
print('\n\... | 27.882353 | 84 | 0.57173 | 82 | 474 | 3.304878 | 0.512195 | 0.088561 | 0.066421 | 0.095941 | 0.118081 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053371 | 0.248945 | 474 | 17 | 85 | 27.882353 | 0.707865 | 0.175105 | 0 | 0.142857 | 0 | 0 | 0.329923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.428571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
7b4d2923536f89021e4b5bea444563f7c603c12a | 278 | py | Python | examples/text_classificaiton/functional.py | Zzoay/YaoNLP | bfc54606f8b20584c4a6d997ba5bdddd528473e4 | [
"Apache-2.0"
] | null | null | null | examples/text_classificaiton/functional.py | Zzoay/YaoNLP | bfc54606f8b20584c4a6d997ba5bdddd528473e4 | [
"Apache-2.0"
] | null | null | null | examples/text_classificaiton/functional.py | Zzoay/YaoNLP | bfc54606f8b20584c4a6d997ba5bdddd528473e4 | [
"Apache-2.0"
] | null | null | null |
from torch import max
from torch.nn.functional import cross_entropy
def compute_acc(logit, y_gt):
predicts = max(logit, 1)[1]
corrects = (predicts.view(y_gt.size()).data == y_gt.data).float().sum()
accuracy = 100.0 * float(corrects/len(y_gt))
return accuracy | 25.272727 | 75 | 0.694245 | 44 | 278 | 4.25 | 0.613636 | 0.064171 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025862 | 0.165468 | 278 | 11 | 76 | 25.272727 | 0.780172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
7b4e0e54f3c3f85ca32ce0291d57609f455c16e8 | 2,322 | py | Python | ml/notebook_examples/functions/main.py | bhjeong-goldenplanet/automl | 0e24ef5d57b005a1185d1a583eff88ee9e45f748 | [
"Apache-2.0"
] | 146 | 2018-02-18T22:57:51.000Z | 2022-02-03T10:27:40.000Z | ml/notebook_examples/functions/main.py | bhjeong-goldenplanet/automl | 0e24ef5d57b005a1185d1a583eff88ee9e45f748 | [
"Apache-2.0"
] | 15 | 2019-02-15T10:05:30.000Z | 2022-02-10T02:37:12.000Z | ml/notebook_examples/functions/main.py | bhjeong-goldenplanet/automl | 0e24ef5d57b005a1185d1a583eff88ee9e45f748 | [
"Apache-2.0"
] | 88 | 2017-08-31T22:58:24.000Z | 2022-02-18T05:30:47.000Z | import logging
import datetime
import logging
import time
import kfp
import kfp.compiler as compiler
import kfp.dsl as dsl
import requests
# TODO: replace yours
# HOST = 'https://<yours>.pipelines.googleusercontent.com'
HOST = 'https://7c7f7f3e3d11e1d4-dot-us-central2.pipelines.googleusercontent.com'
@dsl.pipel... | 36.28125 | 100 | 0.677864 | 293 | 2,322 | 5.293515 | 0.406143 | 0.078014 | 0.0245 | 0.020632 | 0.096712 | 0.096712 | 0.056738 | 0.056738 | 0.056738 | 0.056738 | 0 | 0.01458 | 0.143411 | 2,322 | 63 | 101 | 36.857143 | 0.765209 | 0.062016 | 0 | 0.115385 | 0 | 0.019231 | 0.319816 | 0.040553 | 0 | 0 | 0 | 0.015873 | 0 | 1 | 0.057692 | false | 0 | 0.153846 | 0 | 0.230769 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b5532fc40e6566fb83f627ee0cc8cc8390442cc | 2,311 | py | Python | tools/sample.py | VanessaDo/cloudml-samples | ae6cd718e583944beef9d8a90db12091ac399432 | [
"Apache-2.0"
] | 1,552 | 2016-09-29T18:59:01.000Z | 2022-03-30T06:13:41.000Z | tools/sample.py | VanessaDo/cloudml-samples | ae6cd718e583944beef9d8a90db12091ac399432 | [
"Apache-2.0"
] | 385 | 2016-10-01T11:21:18.000Z | 2021-12-17T01:40:25.000Z | tools/sample.py | VanessaDo/cloudml-samples | ae6cd718e583944beef9d8a90db12091ac399432 | [
"Apache-2.0"
] | 983 | 2016-09-29T17:00:57.000Z | 2022-03-30T06:13:46.000Z | # Copyright 2018 Google LLC
#
# 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, s... | 28.530864 | 112 | 0.708784 | 347 | 2,311 | 4.634006 | 0.521614 | 0.037313 | 0.016791 | 0.020522 | 0.034204 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004362 | 0.206404 | 2,311 | 80 | 113 | 28.8875 | 0.87241 | 0.699264 | 0 | 0.068966 | 0 | 0 | 0.056726 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0.068966 | 0.172414 | 0 | 0.413793 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
7b575d52bfdb4ce442a151e991ee733c0b91e84e | 630 | py | Python | test/drafts/2017-09-29_1852 Overall Testing/002.py | friedrichromstedt/upy | 4b6b890259fb34bc69265fc400881587157b03a3 | [
"MIT"
] | 3 | 2015-06-01T23:09:38.000Z | 2015-10-06T13:14:23.000Z | test/drafts/2017-09-29_1852 Overall Testing/002.py | friedrichromstedt/upy | 4b6b890259fb34bc69265fc400881587157b03a3 | [
"MIT"
] | null | null | null | test/drafts/2017-09-29_1852 Overall Testing/002.py | friedrichromstedt/upy | 4b6b890259fb34bc69265fc400881587157b03a3 | [
"MIT"
] | null | null | null | import numpy
import upy2
from upy2 import u, U
from upy2.typesetting import ScientificTypesetter
# This test probably doesn't demonstrate the intended behaviour
# anymore since :func:`upy2.numpy_operators.install_numpy_operators`
# is now called unconditionally upon importing ``upy2``.
U(2).default()
ScientificTypese... | 23.333333 | 68 | 0.728571 | 85 | 630 | 5.341176 | 0.517647 | 0.092511 | 0.092511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057971 | 0.12381 | 630 | 26 | 69 | 24.230769 | 0.764493 | 0.338095 | 0 | 0.133333 | 0 | 0 | 0.024272 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.266667 | null | null | 0.4 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b5860717803ce2199610e4be9586a5adf093ff2 | 951 | py | Python | iota/commands/extended/broadcast_and_store.py | EasonC13/iota.py | f596c1ac0d9bcbceda1cf6109cd921943a6599b3 | [
"MIT"
] | 347 | 2016-12-23T14:28:06.000Z | 2019-09-30T13:46:30.000Z | iota/commands/extended/broadcast_and_store.py | EasonC13/iota.py | f596c1ac0d9bcbceda1cf6109cd921943a6599b3 | [
"MIT"
] | 194 | 2016-12-22T21:22:47.000Z | 2019-10-01T09:01:16.000Z | iota/commands/extended/broadcast_and_store.py | EasonC13/iota.py | f596c1ac0d9bcbceda1cf6109cd921943a6599b3 | [
"MIT"
] | 147 | 2017-01-08T13:14:47.000Z | 2019-10-01T22:27:31.000Z | from iota.commands import FilterCommand
from iota.commands.core.broadcast_transactions import \
BroadcastTransactionsCommand
from iota.commands.core.store_transactions import StoreTransactionsCommand
import asyncio
__all__ = [
'BroadcastAndStoreCommand',
]
class BroadcastAndStoreCommand(FilterCommand):
"... | 26.416667 | 74 | 0.690852 | 91 | 951 | 7.076923 | 0.56044 | 0.037267 | 0.074534 | 0.062112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.221872 | 951 | 35 | 75 | 27.171429 | 0.87027 | 0.187171 | 0 | 0.090909 | 0 | 0 | 0.070385 | 0.031873 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0.090909 | 0.181818 | 0 | 0.409091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
7b5c2aa6f59e06775840cabdfabbf3723e6640d3 | 1,161 | py | Python | generate_encodings.py | AsimMessi/FaceRecognition | 03329ee73f18330eb1b4b14533fba8226ff4ebd1 | [
"CNRI-Python"
] | null | null | null | generate_encodings.py | AsimMessi/FaceRecognition | 03329ee73f18330eb1b4b14533fba8226ff4ebd1 | [
"CNRI-Python"
] | null | null | null | generate_encodings.py | AsimMessi/FaceRecognition | 03329ee73f18330eb1b4b14533fba8226ff4ebd1 | [
"CNRI-Python"
] | null | null | null | from tqdm import tqdm
import face_recognition
import glob
import csv
import numpy as np
def generate_training_data(folder):
r=0
print("Generating encodings for db images..")
image_encodings=[]
with tqdm(total=len(glob.glob(folder+"/*.jpg"))) as pbar:
for img in glob.glob(folder+"/*.jpg"):
... | 27 | 86 | 0.612403 | 150 | 1,161 | 4.613333 | 0.433333 | 0.040462 | 0.057803 | 0.049133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009401 | 0.267011 | 1,161 | 42 | 87 | 27.642857 | 0.80376 | 0.029285 | 0 | 0 | 1 | 0 | 0.153915 | 0.020463 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0.029412 | 0.147059 | 0 | 0.205882 | 0.088235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b5f40dd4600f5790928eac3bbb0a722480016ce | 697 | py | Python | check_colors.py | IgaLewandowska/Check_colors | c1fb39f61e8a6528e4a2b26e3c8fc2f696c7f449 | [
"Unlicense"
] | 1 | 2021-07-27T17:19:29.000Z | 2021-07-27T17:19:29.000Z | check_colors.py | IgaLewandowska/Check_colors | c1fb39f61e8a6528e4a2b26e3c8fc2f696c7f449 | [
"Unlicense"
] | null | null | null | check_colors.py | IgaLewandowska/Check_colors | c1fb39f61e8a6528e4a2b26e3c8fc2f696c7f449 | [
"Unlicense"
] | null | null | null | #import Pillow
#from colors.py import generate_colors
import colorthief
from colorthief import ColorThief
import glob
from pathlib import Path
def get_colors(image):
dominant_color = ColorThief(image).get_palette(color_count=3, quality=3)
return dominant_color
#print (get_colors('blockchains/polygon/info/logo.png'... | 17.871795 | 73 | 0.687231 | 99 | 697 | 4.69697 | 0.393939 | 0.058065 | 0.034409 | 0.055914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006849 | 0.162123 | 697 | 39 | 74 | 17.871795 | 0.789384 | 0.17934 | 0 | 0 | 1 | 0 | 0.043937 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.181818 | 0 | 0.409091 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b650ffd3764367fa23c5dfe1939411c676bc9c2 | 1,345 | py | Python | src/denzel/app/logic/pipeline.py | eliorc/denzel | 429a7c277b1a4ee515e3a112a8734b58fc89f53a | [
"Apache-2.0"
] | 17 | 2018-10-02T07:09:45.000Z | 2021-11-30T11:02:28.000Z | src/denzel/app/logic/pipeline.py | eliorc/denzel | 429a7c277b1a4ee515e3a112a8734b58fc89f53a | [
"Apache-2.0"
] | 4 | 2018-10-22T10:18:17.000Z | 2020-09-02T14:31:31.000Z | src/denzel/app/logic/pipeline.py | eliorc/denzel | 429a7c277b1a4ee515e3a112a8734b58fc89f53a | [
"Apache-2.0"
] | 2 | 2018-10-28T10:17:57.000Z | 2020-02-05T22:12:04.000Z | # -------- Handled by api container --------
def verify_input(json_data):
"""
Verifies the validity of an API request content
:param json_data: Parsed JSON accepted from API call
:type json_data: dict
:return: Data for the the process function
"""
# callback_uri is needed to sent the respo... | 24.907407 | 81 | 0.672862 | 186 | 1,345 | 4.774194 | 0.354839 | 0.072072 | 0.047297 | 0.04955 | 0.15991 | 0.108108 | 0.108108 | 0.108108 | 0.108108 | 0 | 0 | 0 | 0.24461 | 1,345 | 53 | 82 | 25.377358 | 0.874016 | 0.69145 | 0 | 0.2 | 0 | 0 | 0.121311 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0 | 0.8 | 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 | 0 | 0 | 0 | 0 | 0 | 1 |
7b6b4e1f3cfbf1acd6b4eda1099739c610256a9e | 3,791 | py | Python | client/scripts/assets/generator_strings.py | thefstock/FirstockPy | 09b4dcf3470f83de991b43213958d2c6783f997b | [
"MIT"
] | 1 | 2022-03-29T06:56:06.000Z | 2022-03-29T06:56:06.000Z | client/scripts/assets/generator_strings.py | thefstock/FirstockPy | 09b4dcf3470f83de991b43213958d2c6783f997b | [
"MIT"
] | 3 | 2022-01-17T09:31:21.000Z | 2022-03-11T12:12:08.000Z | client/scripts/assets/generator_strings.py | thefstock/FirstockPy | 09b4dcf3470f83de991b43213958d2c6783f997b | [
"MIT"
] | null | null | null | DATASOURCE = """
\"\"\"
Datasource for handling {module} operations
\"\"\"
from ...utils.datasources import NorenRestDataSource
from . import endpoints
from .models import *
class {classname}DataSource(NorenRestDataSource):
\"\"\"
Datasource for handling {module} operations
\"\"\"
pass
"""
ENDPOINTS = """
\"\... | 26.326389 | 115 | 0.681087 | 448 | 3,791 | 5.669643 | 0.316964 | 0.019685 | 0.018898 | 0.02126 | 0.093701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.174624 | 3,791 | 144 | 116 | 26.326389 | 0.811761 | 0 | 0 | 0.278689 | 0 | 0.016393 | 0.960179 | 0.232859 | 0 | 0 | 0 | 0 | 0.04918 | 1 | 0 | false | 0.02459 | 0.172131 | 0 | 0.180328 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b6f4563c5ab019e160d85938da2d210a0d4edfe | 558 | py | Python | djspace/bin/gm2m.py | carthagecollege/django-djspace | 0fd26cccecdfd644255b323664e69b856ec90838 | [
"MIT"
] | null | null | null | djspace/bin/gm2m.py | carthagecollege/django-djspace | 0fd26cccecdfd644255b323664e69b856ec90838 | [
"MIT"
] | null | null | null | djspace/bin/gm2m.py | carthagecollege/django-djspace | 0fd26cccecdfd644255b323664e69b856ec90838 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import django
import os
import sys
django.setup()
# env
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'djspace.settings.shell')
from django.contrib.auth.models import User
user = User.objects.get(pk=1217743)
print(user)
apps = user.profile.applica... | 16.411765 | 73 | 0.646953 | 78 | 558 | 4.461538 | 0.564103 | 0.103448 | 0.057471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020737 | 0.222222 | 558 | 33 | 74 | 16.909091 | 0.781106 | 0.086022 | 0 | 0 | 0 | 0 | 0.149153 | 0.149153 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.454545 | 0 | 0.454545 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
7b701d018f72c6274782522b665cf6b4697b256a | 1,110 | py | Python | estruturais/flyweight/main.py | caio-bernardo/design-patterns-python | 8a3643c510628ae18329f032fb6bee1fea5217e7 | [
"Apache-2.0"
] | 363 | 2018-07-30T18:52:55.000Z | 2022-03-29T23:04:26.000Z | estruturais/flyweight/main.py | sou-rafael/design-patterns-python | e955d570265c154863fbfc65564dd4781f549042 | [
"Apache-2.0"
] | 7 | 2018-07-14T20:19:23.000Z | 2020-04-17T00:24:30.000Z | estruturais/flyweight/main.py | sou-rafael/design-patterns-python | e955d570265c154863fbfc65564dd4781f549042 | [
"Apache-2.0"
] | 99 | 2018-09-06T18:11:43.000Z | 2022-03-27T13:32:45.000Z | class KarakTea:
def __init__(self, tea_type):
self.__tea_type = tea_type
@property
def tea_type(self):
return self.__tea_type
class TeaMaker:
def __init__(self):
self.__available_tea = dict()
def make(self, preference):
if preference not in self.__available_tea:
... | 25.227273 | 68 | 0.643243 | 145 | 1,110 | 4.462069 | 0.289655 | 0.075734 | 0.068006 | 0.074189 | 0.100464 | 0.071097 | 0 | 0 | 0 | 0 | 0 | 0.003601 | 0.24955 | 1,110 | 43 | 69 | 25.813953 | 0.773109 | 0 | 0 | 0 | 0 | 0 | 0.065766 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.225806 | false | 0 | 0 | 0.032258 | 0.387097 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b76029f7d5d2e9aeefbc44766d1e980a22135d8 | 1,433 | py | Python | operative/test/report_test.py | buzzfeed/python-operative | ec9eb0943fbc3911ee7bda22688e56116bc04521 | [
"MIT"
] | null | null | null | operative/test/report_test.py | buzzfeed/python-operative | ec9eb0943fbc3911ee7bda22688e56116bc04521 | [
"MIT"
] | null | null | null | operative/test/report_test.py | buzzfeed/python-operative | ec9eb0943fbc3911ee7bda22688e56116bc04521 | [
"MIT"
] | null | null | null | import unittest
import operative
import datetime
from caliendo.patch import patch
from caliendo import expected_value
from nose.tools import eq_, ok_
from operative.settings import TEST_FTP_LOGIN
class ReportTest(unittest.TestCase):
"""
Test the various reports.
"""
@patch('operative.FTPConnection... | 31.152174 | 120 | 0.68388 | 176 | 1,433 | 5.261364 | 0.363636 | 0.032397 | 0.053996 | 0.075594 | 0.193305 | 0.152268 | 0.12311 | 0.12311 | 0.12311 | 0.12311 | 0 | 0.014337 | 0.221214 | 1,433 | 45 | 121 | 31.844444 | 0.815412 | 0.11305 | 0 | 0 | 0 | 0 | 0.119804 | 0.096985 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.347826 | 0 | 0.478261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
7b7712cdf29f6b758faa65e27678a4639698f692 | 1,653 | py | Python | pys/006_get_table_columns.py | indecipherable/linuxtest_dust | be1801be7776d044c2d794decc65f7a2df6e7e5f | [
"CC0-1.0"
] | null | null | null | pys/006_get_table_columns.py | indecipherable/linuxtest_dust | be1801be7776d044c2d794decc65f7a2df6e7e5f | [
"CC0-1.0"
] | null | null | null | pys/006_get_table_columns.py | indecipherable/linuxtest_dust | be1801be7776d044c2d794decc65f7a2df6e7e5f | [
"CC0-1.0"
] | null | null | null | # works as intended
import mysql.connector
from mysql.connector import errorcode
import sys
import re
import os
from pprint import pprint as p
# trying to import where_am_i as module
#import importlib
#where_am_i="/000_where_am_i"
#sys.path.append(os.getcwd())
#import 000_where_am_i
#pm = __import__(where_am_i)
#find_w... | 28.5 | 77 | 0.709619 | 252 | 1,653 | 4.440476 | 0.404762 | 0.075067 | 0.042895 | 0.042895 | 0.094727 | 0.094727 | 0.094727 | 0.094727 | 0 | 0 | 0 | 0.010256 | 0.174229 | 1,653 | 57 | 78 | 29 | 0.809524 | 0.318814 | 0 | 0.166667 | 0 | 0 | 0.130866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.055556 | 0.222222 | 0 | 0.361111 | 0.138889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
7b7a76a50135ec7df6e8cfcbd270d76696ab1a94 | 1,259 | py | Python | arike/visits/migrations/0005_auto_20220304_2228.py | iamsdas/arike | ab76f48f49cd794dd4b77172b347e260a03413b2 | [
"MIT"
] | null | null | null | arike/visits/migrations/0005_auto_20220304_2228.py | iamsdas/arike | ab76f48f49cd794dd4b77172b347e260a03413b2 | [
"MIT"
] | null | null | null | arike/visits/migrations/0005_auto_20220304_2228.py | iamsdas/arike | ab76f48f49cd794dd4b77172b347e260a03413b2 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.12 on 2022-03-04 16:58
import datetime
from django.db import migrations, models
import django.db.models.deletion
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('patients', '0014_auto_20220304_2228'),
('visits', '0004_auto_... | 33.131579 | 110 | 0.622716 | 136 | 1,259 | 5.661765 | 0.411765 | 0.020779 | 0.12987 | 0.150649 | 0.455844 | 0.455844 | 0.280519 | 0.280519 | 0.280519 | 0.280519 | 0 | 0.108858 | 0.255759 | 1,259 | 37 | 111 | 34.027027 | 0.712914 | 0.036537 | 0 | 0.419355 | 1 | 0 | 0.138728 | 0.037985 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.129032 | 0 | 0.225806 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b7ad708513ba9938e072dd7e68e4a160e724f26 | 840 | py | Python | app/routers/weather/models.py | neurothrone/weather-api | c4fcfd69e2c21d97055f26befbd40bf675c5a805 | [
"MIT"
] | null | null | null | app/routers/weather/models.py | neurothrone/weather-api | c4fcfd69e2c21d97055f26befbd40bf675c5a805 | [
"MIT"
] | null | null | null | app/routers/weather/models.py | neurothrone/weather-api | c4fcfd69e2c21d97055f26befbd40bf675c5a805 | [
"MIT"
] | null | null | null | from pydantic import BaseModel, Field
from app.shared.enums import Units
class LocationBase(BaseModel):
units: Units = Units.METRIC
class CityLocation(BaseModel):
city: str
state: str | None = Field(default=None, max_length=3)
country: str | None = None
class Config:
schema_extra = {
... | 19.090909 | 57 | 0.547619 | 86 | 840 | 5.313953 | 0.418605 | 0.105033 | 0.09628 | 0.078775 | 0.126915 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009208 | 0.353571 | 840 | 43 | 58 | 19.534884 | 0.832413 | 0 | 0 | 0.25 | 0 | 0 | 0.045238 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.65625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
7b8381b19b671065bbfaddd02f7a764dd81eb127 | 491 | py | Python | redditpoller/migrations/0014_auto_20170304_1513.py | ericleepa/watcherforreddit | 3b74534be3dcb97cac3ce5529b0db2ef659725f7 | [
"MIT"
] | 8 | 2017-03-17T14:10:59.000Z | 2017-09-24T12:36:34.000Z | redditpoller/migrations/0014_auto_20170304_1513.py | ericleepa/watcherforreddit | 3b74534be3dcb97cac3ce5529b0db2ef659725f7 | [
"MIT"
] | null | null | null | redditpoller/migrations/0014_auto_20170304_1513.py | ericleepa/watcherforreddit | 3b74534be3dcb97cac3ce5529b0db2ef659725f7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-03-04 20:13
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('redditpoller', '0013_watchedsubreddit_watchedsubredditthreads'),
]
operations = [
m... | 23.380952 | 74 | 0.655804 | 48 | 491 | 6.458333 | 0.791667 | 0.064516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056452 | 0.242363 | 491 | 20 | 75 | 24.55 | 0.776882 | 0.138493 | 0 | 0 | 1 | 0 | 0.264286 | 0.161905 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b86c4d0f20873e5d49e0fbc51331999b417486c | 858 | py | Python | 2018/aoc/d7/test.py | lukaselmer/adventofcode | b96ffc9040b63b338bca653830ba4ff7e90a8b2a | [
"MIT"
] | 1 | 2018-12-12T22:59:44.000Z | 2018-12-12T22:59:44.000Z | 2018/aoc/d7/test.py | lukaselmer/adventofcode | b96ffc9040b63b338bca653830ba4ff7e90a8b2a | [
"MIT"
] | null | null | null | 2018/aoc/d7/test.py | lukaselmer/adventofcode | b96ffc9040b63b338bca653830ba4ff7e90a8b2a | [
"MIT"
] | null | null | null | import unittest
from unittest.mock import mock_open, patch
from aoc.d7.main import step_order, time_required
DATA = "Step C must be finished before step A can begin.\nStep C must be finished before step F can begin.\nStep A must be finished before step B can begin.\nStep A must be finished before step D can begin.\nS... | 40.857143 | 359 | 0.727273 | 139 | 858 | 4.33813 | 0.309353 | 0.069652 | 0.162521 | 0.232172 | 0.588723 | 0.588723 | 0.505804 | 0.505804 | 0.451078 | 0.199005 | 0 | 0.007153 | 0.185315 | 858 | 20 | 360 | 42.9 | 0.855508 | 0 | 0 | 0.153846 | 0 | 0.076923 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.153846 | false | 0 | 0.230769 | 0 | 0.461538 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b89734c37d1b8da5691626260f3127c67b34ac0 | 925 | py | Python | stack/valid_parenthesis.py | javyxu/algorithms-python | 2076d0f22c2d6b2dd53a5e1d2a9a3000ef2c9d38 | [
"MIT"
] | 8 | 2017-07-02T15:17:25.000Z | 2017-09-18T15:37:51.000Z | stack/valid_parenthesis.py | javyxu/algorithms-python | 2076d0f22c2d6b2dd53a5e1d2a9a3000ef2c9d38 | [
"MIT"
] | null | null | null | stack/valid_parenthesis.py | javyxu/algorithms-python | 2076d0f22c2d6b2dd53a5e1d2a9a3000ef2c9d38 | [
"MIT"
] | 5 | 2017-11-24T06:55:23.000Z | 2019-05-17T06:47:36.000Z | """
Given a string containing just the characters
'(', ')', '{', '}', '[' and ']',
determine if the input string is valid.
The brackets must close in the correct order,
"()" and "()[]{}" are all valid but "(]" and "([)]" are not.
"""
def is_valid(s:"str")->"bool":
stack = []
dic = { ")":"(",
"}":... | 23.717949 | 60 | 0.475676 | 104 | 925 | 4.096154 | 0.403846 | 0.115023 | 0.176056 | 0.199531 | 0.316901 | 0.316901 | 0.316901 | 0.316901 | 0.316901 | 0.316901 | 0 | 0 | 0.32 | 925 | 38 | 61 | 24.342105 | 0.677266 | 0.244324 | 0 | 0.269231 | 0 | 0 | 0.060781 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0 | 0 | 0.153846 | 0.192308 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b8af8f9a2a2aa6da75633af2422c6bcd9c5f395 | 2,050 | py | Python | src/figs/figS03.py | RPGroup-PBoC/chann_cap | f2a826166fc2d47c424951c616c46d497ed74b39 | [
"MIT"
] | 2 | 2020-08-21T04:06:12.000Z | 2022-02-09T07:36:58.000Z | src/figs/figS03.py | RPGroup-PBoC/chann_cap | f2a826166fc2d47c424951c616c46d497ed74b39 | [
"MIT"
] | null | null | null | src/figs/figS03.py | RPGroup-PBoC/chann_cap | f2a826166fc2d47c424951c616c46d497ed74b39 | [
"MIT"
] | 2 | 2020-04-29T17:43:28.000Z | 2020-09-09T00:20:16.000Z | #%%
import os
import pickle
import cloudpickle
import itertools
import glob
import numpy as np
import scipy as sp
import pandas as pd
import git
# Import matplotlib stuff for plotting
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib as mpl
# Seaborn, useful for graphics
import seaborn as s... | 25 | 74 | 0.731707 | 324 | 2,050 | 4.512346 | 0.481481 | 0.043776 | 0.012312 | 0.018468 | 0.015048 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012622 | 0.149756 | 2,050 | 81 | 75 | 25.308642 | 0.826162 | 0.245854 | 0 | 0 | 0 | 0 | 0.165793 | 0.065531 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
7b95135de00166af50507dff7bb30fab06a0b8e3 | 669 | py | Python | tests/test_autommittee.py | rodsenra/socialgraph | 8ff91dda8fa210958d137f46bd6e7759004bcd22 | [
"0BSD"
] | null | null | null | tests/test_autommittee.py | rodsenra/socialgraph | 8ff91dda8fa210958d137f46bd6e7759004bcd22 | [
"0BSD"
] | 2 | 2016-05-07T14:02:20.000Z | 2017-05-29T19:08:28.000Z | tests/test_autommittee.py | rodsenra/socialgraph | 8ff91dda8fa210958d137f46bd6e7759004bcd22 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Test some edge cases.
"""
import unittest
from socialgraph import autommittee
class TestPowerHistory(unittest.TestCase):
def setUp(self):
self.G = autommittee.Graph()
self.G.add_edge('b', 'a')
self.G.add_edge('a', 'c')
self.G.add... | 24.777778 | 99 | 0.547085 | 99 | 669 | 3.585859 | 0.424242 | 0.126761 | 0.112676 | 0.169014 | 0.109859 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015355 | 0.221226 | 669 | 27 | 99 | 24.777778 | 0.666027 | 0.095665 | 0 | 0 | 0 | 0 | 0.031826 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 1 | 0.2 | false | 0 | 0.133333 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7b9d52d1ec4946ccbfccbbb2a26ccd6088b08d83 | 1,060 | py | Python | new_trade/main.py | cbbing/stock | 6bde95c447544b719094f045817690c54c6e730f | [
"Apache-2.0"
] | 31 | 2015-10-25T05:31:49.000Z | 2022-01-11T19:07:16.000Z | new_trade/main.py | cbbing/stock | 6bde95c447544b719094f045817690c54c6e730f | [
"Apache-2.0"
] | null | null | null | new_trade/main.py | cbbing/stock | 6bde95c447544b719094f045817690c54c6e730f | [
"Apache-2.0"
] | 21 | 2015-07-17T10:11:18.000Z | 2020-06-08T07:23:03.000Z | #coding: utf-8
import tushare as ts
import pandas as pd
from util.date_convert import GetNowDate
def diagnosis_one_stock(code):
"""
个股诊断
:return:
"""
# 获取股价
df = get_stock_price(code, True)
# 均线指标
# K线提示
def get_stock_price(code, include_realtime_price):
"""
获取个股股价
:p... | 20 | 64 | 0.608491 | 143 | 1,060 | 4.244755 | 0.41958 | 0.059308 | 0.06425 | 0.056013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008827 | 0.251887 | 1,060 | 52 | 65 | 20.384615 | 0.75662 | 0.048113 | 0 | 0 | 0 | 0 | 0.064368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 0.083333 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7ba155479360f06786ac722089af3c649e7f8c18 | 605 | py | Python | app/chat/migrations/0002_alter_chatmessage_user_id.py | GonnaFlyMethod/simple_chat | 9135003a1def28909c27a50d4cf38e0de52c7285 | [
"MIT"
] | null | null | null | app/chat/migrations/0002_alter_chatmessage_user_id.py | GonnaFlyMethod/simple_chat | 9135003a1def28909c27a50d4cf38e0de52c7285 | [
"MIT"
] | null | null | null | app/chat/migrations/0002_alter_chatmessage_user_id.py | GonnaFlyMethod/simple_chat | 9135003a1def28909c27a50d4cf38e0de52c7285 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-07-20 13:39
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('chat', '0001_initial'),
... | 27.5 | 144 | 0.677686 | 72 | 605 | 5.555556 | 0.625 | 0.06 | 0.07 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039916 | 0.213223 | 605 | 21 | 145 | 28.809524 | 0.80042 | 0.07438 | 0 | 0 | 1 | 0 | 0.071685 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7ba2b9885e7419789b525be966e28d5deb8f52a2 | 2,736 | py | Python | SourceModel/SM_Constants.py | crossminer/CrossPuppeteer | ab99f67f9c3440752e767ad284de5049f6fd1da9 | [
"Apache-2.0"
] | 47 | 2016-02-08T08:46:17.000Z | 2021-01-17T23:56:34.000Z | SourceModel/SM_Constants.py | crossminer/CrossPuppeteer | ab99f67f9c3440752e767ad284de5049f6fd1da9 | [
"Apache-2.0"
] | null | null | null | SourceModel/SM_Constants.py | crossminer/CrossPuppeteer | ab99f67f9c3440752e767ad284de5049f6fd1da9 | [
"Apache-2.0"
] | 15 | 2016-02-09T13:34:48.000Z | 2021-05-12T14:34:26.000Z | CLASS_REGEX = r'class [\w\d\:\-_\']+(?:\:\:[\w\d\:\-_\']+)*\s*(?:\(.+\)\s*)*{*'
CLASS_NAME_REGEX = r'class ([\w\d\:\-_\']+(?:\:\:[\w\d\:\-_\']+)*)\s*(?:\(.+\)\s*)*{*'
DEFINE_REGEX = r'define \w+(?:\:\:\w+)*\s*(?:\(.+\)\s*)*{*'
FILE_REGEX = r'file\W*\{\W*\'.+\'\W*:|file\W*\{\W*\".+\"\W*:|file\W*{\W*\$.+\W*:'
PACKAGE_REG... | 51.622642 | 224 | 0.419956 | 364 | 2,736 | 2.947802 | 0.112637 | 0.096925 | 0.064306 | 0.039143 | 0.575023 | 0.439888 | 0.439888 | 0.422181 | 0.335508 | 0.303821 | 0 | 0.005477 | 0.065789 | 2,736 | 52 | 225 | 52.615385 | 0.414319 | 0.120249 | 0 | 0 | 0 | 0 | 0.520799 | 0.310316 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7ba6fcf48c431270a02aaeb44766b07f105ad811 | 709 | py | Python | HW1/election_count.py | profrichto/handson | b0803694256682d66c574054175355df601cae31 | [
"MIT"
] | null | null | null | HW1/election_count.py | profrichto/handson | b0803694256682d66c574054175355df601cae31 | [
"MIT"
] | null | null | null | HW1/election_count.py | profrichto/handson | b0803694256682d66c574054175355df601cae31 | [
"MIT"
] | null | null | null | import mediacloud, datetime
#Default key: The variable 'key' must be edited according to the specific mediacloud user
key = '00'
mc = mediacloud.api.MediaCloud(key)
#Comparison of number of stories written about 'Trump' and 'Clinton' in September 2016
res = mc.sentenceCount('Trump', solr_filter=[mc.publish_date_query... | 64.454545 | 150 | 0.737659 | 108 | 709 | 4.75 | 0.490741 | 0.093567 | 0.124756 | 0.074074 | 0.300195 | 0.300195 | 0.300195 | 0.300195 | 0.300195 | 0.300195 | 0 | 0.064725 | 0.12835 | 709 | 10 | 151 | 70.9 | 0.765372 | 0.244006 | 0 | 0 | 0 | 0 | 0.257036 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.142857 | null | null | 0.142857 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7bbf5f1e0966c56c43c7200eb9356e5354e57273 | 505 | py | Python | src/Jupyter/Jupyter_frontend.py | Chaostheeory/Insight-DOTA-Mine | c5e3b354bbab4e00335b370a44086a2a7be8acf6 | [
"MIT"
] | null | null | null | src/Jupyter/Jupyter_frontend.py | Chaostheeory/Insight-DOTA-Mine | c5e3b354bbab4e00335b370a44086a2a7be8acf6 | [
"MIT"
] | 1 | 2019-02-25T05:04:55.000Z | 2019-02-25T05:04:55.000Z | src/Jupyter/Jupyter_frontend.py | Chaostheeory/Insight-DOTA-Mine | c5e3b354bbab4e00335b370a44086a2a7be8acf6 | [
"MIT"
] | null | null | null | import pandas as pd
import psycopg2
#from sqlalchemy import create_engine
psql_credeintal = {
'database': 'wode',
'user': 'wode',
'password': '***',
'host': '54.242.73.153',
'port': '5432'
}
con = psycopg2.connect(**psql_credeintal)
def get_winrate(user_id):
query = "SE... | 24.047619 | 100 | 0.657426 | 64 | 505 | 5 | 0.640625 | 0.05625 | 0.06875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063131 | 0.215842 | 505 | 20 | 101 | 25.25 | 0.744949 | 0.071287 | 0 | 0 | 0 | 0 | 0.282051 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0.066667 | 0.133333 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
7bc22ec533935bcfd3ea53a0c34c0cdfbab724ae | 315 | py | Python | reports/utils.py | Rakib1508/django-sales-stat | c48799f5d26ac6a4ccfde4ffdad0e96707a7be11 | [
"MIT"
] | null | null | null | reports/utils.py | Rakib1508/django-sales-stat | c48799f5d26ac6a4ccfde4ffdad0e96707a7be11 | [
"MIT"
] | null | null | null | reports/utils.py | Rakib1508/django-sales-stat | c48799f5d26ac6a4ccfde4ffdad0e96707a7be11 | [
"MIT"
] | null | null | null | from django.core.files.base import ContentFile
import base64
import uuid
def get_report_image(data):
_, image_binary = data.split(';base64')
decoded_image = base64.b64decode(image_binary)
img_name = str(uuid.uuid4())[:10] + '.png'
data = ContentFile(decoded_image, name=img_name)
return data
| 24.230769 | 52 | 0.72381 | 43 | 315 | 5.093023 | 0.581395 | 0.100457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041667 | 0.161905 | 315 | 12 | 53 | 26.25 | 0.787879 | 0 | 0 | 0 | 0 | 0 | 0.034921 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.333333 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
7bc8bd2122d15e4afb888511bbc4093977fac011 | 11,215 | py | Python | tests/paradrop/lib/utils/test_utils.py | VegetableChook/Paradrop | a38e1773877d5b136c3b626edd8c033a12b43e56 | [
"Apache-2.0"
] | 1 | 2018-03-22T13:04:19.000Z | 2018-03-22T13:04:19.000Z | tests/paradrop/lib/utils/test_utils.py | VegetableChook/Paradrop | a38e1773877d5b136c3b626edd8c033a12b43e56 | [
"Apache-2.0"
] | null | null | null | tests/paradrop/lib/utils/test_utils.py | VegetableChook/Paradrop | a38e1773877d5b136c3b626edd8c033a12b43e56 | [
"Apache-2.0"
] | null | null | null | import copy
import errno
import os
import tempfile
from mock import MagicMock, Mock, patch
from nose.tools import assert_raises
from pdmock import MockChute, MockChuteStorage, writeTempFile
from paradrop.lib.utils import pdos
from paradrop.lib.utils import pdosq
from paradrop.lib.utils.pd_storage import PDStorage
... | 30.895317 | 85 | 0.669461 | 1,407 | 11,215 | 5.283582 | 0.214641 | 0.027845 | 0.011299 | 0.027845 | 0.373419 | 0.289884 | 0.187248 | 0.134786 | 0.089185 | 0.053134 | 0 | 0.021668 | 0.209897 | 11,215 | 362 | 86 | 30.980663 | 0.817289 | 0.157735 | 0 | 0.183761 | 0 | 0 | 0.120734 | 0.014059 | 0 | 0 | 0 | 0.002762 | 0.42735 | 1 | 0.042735 | false | 0.008547 | 0.059829 | 0.008547 | 0.115385 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7bce784cb4a5472980ae26619eb181f6a302f432 | 616 | py | Python | products/urls.py | okosamastar/nisshin_b2b | 7576eb464ca90a191e57dddddfdfd0aff76d2291 | [
"MIT"
] | null | null | null | products/urls.py | okosamastar/nisshin_b2b | 7576eb464ca90a191e57dddddfdfd0aff76d2291 | [
"MIT"
] | 3 | 2022-03-25T06:31:45.000Z | 2022-03-31T06:34:00.000Z | products/urls.py | okosamastar/nisshin_b2b | 7576eb464ca90a191e57dddddfdfd0aff76d2291 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
# from django.views.generic import RedirectView
urlpatterns = [
path("", views.CategoriesView.as_view(), name="products.category"),
# path("detail/", RedirectView.as_view(url="/b2b/products/")),
path("detail/<slug:slug>", views.ProductDetail.as_view(), na... | 34.222222 | 87 | 0.675325 | 76 | 616 | 5.394737 | 0.342105 | 0.087805 | 0.121951 | 0.219512 | 0.358537 | 0.358537 | 0.273171 | 0.273171 | 0.273171 | 0.273171 | 0 | 0.001855 | 0.125 | 616 | 17 | 88 | 36.235294 | 0.758813 | 0.172078 | 0 | 0 | 0 | 0 | 0.291913 | 0.04142 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7bcee7a296c47e3d70c208791eb85e3e3f8c39aa | 6,158 | py | Python | lesson5/utils.py | BaiduOSS/PaddleTutorial | d71136c105b78b57c5df1fe98e19e2fd8ee65045 | [
"Apache-2.0"
] | 33 | 2018-03-18T08:56:11.000Z | 2022-01-06T14:43:54.000Z | lesson5/utils.py | weiexcelpro/DeepLearningAndPaddleTutorial | 01efade3b02204042b771aeecd887e320b5e10a1 | [
"Apache-2.0"
] | 5 | 2017-12-06T12:40:59.000Z | 2019-07-05T08:47:48.000Z | lesson5/utils.py | weiexcelpro/DeepLearningAndPaddleTutorial | 01efade3b02204042b771aeecd887e320b5e10a1 | [
"Apache-2.0"
] | 43 | 2017-12-06T12:51:16.000Z | 2022-01-06T14:44:00.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Authors: Jiahui Liu(2505774110@qq.com)
Date: 2017/11/17 17:27:06
"""
import h5py
import matplotlib.pyplot as plt
import numpy as np
def initialize_parameters(layer):
"""
初始化参数
Args:
layer:各层所包含的节点数
Return:
parameters:参数,包括w和... | 21.683099 | 77 | 0.551315 | 816 | 6,158 | 4.03799 | 0.262255 | 0.054628 | 0.010926 | 0.02003 | 0.246434 | 0.168437 | 0.109256 | 0.055235 | 0 | 0 | 0 | 0.025024 | 0.312114 | 6,158 | 283 | 78 | 21.759717 | 0.752833 | 0.063495 | 0 | 0.179245 | 0 | 0 | 0.046279 | 0.011212 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.028302 | null | null | 0.009434 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c8754fc2e4082e0b8b4ffcad68022a9053c6774e | 214 | py | Python | 01_Primeiros passos_Fundamentos/05_metros_centimentos.py | Basilio40/exercicios_Python | 327a6430e36e8a37596bed521617a2eba3024ddb | [
"Apache-2.0"
] | null | null | null | 01_Primeiros passos_Fundamentos/05_metros_centimentos.py | Basilio40/exercicios_Python | 327a6430e36e8a37596bed521617a2eba3024ddb | [
"Apache-2.0"
] | null | null | null | 01_Primeiros passos_Fundamentos/05_metros_centimentos.py | Basilio40/exercicios_Python | 327a6430e36e8a37596bed521617a2eba3024ddb | [
"Apache-2.0"
] | null | null | null | '''Faça um Programa que converta metros para centímetros.'''
# Resposta:
metro = float(input('Informe a media em metros: '))
cent = int(metro * 100)
print(f'Convertendo {metro}m em centímetros, temos: {cent}cm')
| 26.75 | 62 | 0.71028 | 31 | 214 | 4.903226 | 0.806452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 0.14486 | 214 | 7 | 63 | 30.571429 | 0.814208 | 0.303738 | 0 | 0 | 0 | 0 | 0.552448 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 0 | 0 | 1 |
c8788da656d661653155fe9a85ee51fbde582489 | 415 | py | Python | pythonbrasil/exercicios/decisao/DE resp 03.py | adinsankofa/python | 8f2f26c77015c0baaa76174e004406b4115272c7 | [
"MIT"
] | null | null | null | pythonbrasil/exercicios/decisao/DE resp 03.py | adinsankofa/python | 8f2f26c77015c0baaa76174e004406b4115272c7 | [
"MIT"
] | null | null | null | pythonbrasil/exercicios/decisao/DE resp 03.py | adinsankofa/python | 8f2f26c77015c0baaa76174e004406b4115272c7 | [
"MIT"
] | null | null | null | fm = str(input("Digite o sexo - [M - Masculino] ou [F - Feminino]: "))
def foum():
if fm == "M":
print("M - Masculino")
if fm == "F":
print("F - Feminino")
def si():
while fm != "M" and fm != "F":
print("Sexo inválido, tente novamente!")
fm = str(input("... | 24.411765 | 82 | 0.457831 | 52 | 415 | 3.653846 | 0.403846 | 0.157895 | 0.105263 | 0.168421 | 0.442105 | 0.442105 | 0.442105 | 0.442105 | 0.442105 | 0.442105 | 0 | 0 | 0.356627 | 415 | 16 | 83 | 25.9375 | 0.71161 | 0 | 0 | 0.307692 | 0 | 0 | 0.390361 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0 | 0 | 0.153846 | 0.230769 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c885477d38c579133a38fd201449fbecb68b3223 | 3,952 | py | Python | statistics_check.py | bugo99iot/airbnb_k_nearest | 1df3887c519dfa3b344a31a37c962084ad7bedd1 | [
"Apache-2.0"
] | 9 | 2017-10-08T02:10:10.000Z | 2021-01-08T00:08:41.000Z | statistics_check.py | bugo99iot/airbnb_k_nearest | 1df3887c519dfa3b344a31a37c962084ad7bedd1 | [
"Apache-2.0"
] | null | null | null | statistics_check.py | bugo99iot/airbnb_k_nearest | 1df3887c519dfa3b344a31a37c962084ad7bedd1 | [
"Apache-2.0"
] | 19 | 2017-10-08T14:45:55.000Z | 2021-08-16T22:51:32.000Z | import pandas as pd
import numpy as np
from scipy.spatial import distance
import sys
import json
import math
columns = ["price", "room_type", "accommodates", "bedrooms", "bathrooms", "beds", "number_of_reviews", "latitude", "longitude", "review_scores_value"]
#load cities' information
with open('cities_dictionary.jso... | 31.365079 | 170 | 0.717105 | 575 | 3,952 | 4.683478 | 0.297391 | 0.151504 | 0.029707 | 0.04456 | 0.235797 | 0.197921 | 0.130338 | 0.130338 | 0.103231 | 0.103231 | 0 | 0.012511 | 0.150557 | 3,952 | 125 | 171 | 31.616 | 0.789693 | 0.112095 | 0 | 0.053333 | 0 | 0 | 0.205268 | 0.018322 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.08 | null | null | 0.053333 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c88aab50aa809775d548741873392a512cd15157 | 21,504 | py | Python | mafComparator/comparatorSummarizer.py | dadidange/mafTools | ac30f729be79fb6fe43a67f0c8a47c2e56963548 | [
"MIT"
] | null | null | null | mafComparator/comparatorSummarizer.py | dadidange/mafTools | ac30f729be79fb6fe43a67f0c8a47c2e56963548 | [
"MIT"
] | null | null | null | mafComparator/comparatorSummarizer.py | dadidange/mafTools | ac30f729be79fb6fe43a67f0c8a47c2e56963548 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
comparatorSummarizer.py
dent earl, dearl (a) soe ucsc edu
22 November 2011
Simple utility to summarize output of mafComparator
for use with alignathon competetition.
"""
# Note: Actually belongs to https://github.com/dentearl/mwgAlignAnalysis
# but was moved in here for convenience
########... | 51.078385 | 142 | 0.590402 | 2,087 | 21,504 | 6.071874 | 0.191184 | 0.006629 | 0.023201 | 0.02762 | 0.286222 | 0.261048 | 0.252999 | 0.248106 | 0.216146 | 0.163352 | 0 | 0.01461 | 0.299758 | 21,504 | 420 | 143 | 51.2 | 0.826936 | 0.122442 | 0 | 0.248555 | 0 | 0.020231 | 0.092407 | 0.009386 | 0 | 0 | 0 | 0 | 0.011561 | 0 | null | null | 0.00289 | 0.011561 | null | null | 0.031792 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c88e549574497e07287c4e8048ebe0d462a7f5e3 | 2,214 | py | Python | bluebird/sim_client/bluesky/sim_client.py | rkm/bluebird | 2325ebb151724d4444c092c095a040d7365dda79 | [
"MIT"
] | 8 | 2019-01-29T15:19:39.000Z | 2020-07-16T03:55:36.000Z | bluebird/sim_client/bluesky/sim_client.py | rkm/bluebird | 2325ebb151724d4444c092c095a040d7365dda79 | [
"MIT"
] | 46 | 2019-02-08T14:23:11.000Z | 2021-04-06T13:45:10.000Z | bluebird/sim_client/bluesky/sim_client.py | rkm/bluebird | 2325ebb151724d4444c092c095a040d7365dda79 | [
"MIT"
] | 3 | 2019-05-06T14:18:07.000Z | 2021-06-17T10:39:59.000Z | """
BlueSky simulation client class
"""
# TODO: Need to re-add the tests for string parsing/units from the old API tests
import os
from typing import List
from semver import VersionInfo
from .bluesky_aircraft_controls import BlueSkyAircraftControls
from .bluesky_simulator_controls import BlueSkySimulatorControls
from... | 30.75 | 86 | 0.724029 | 275 | 2,214 | 5.621818 | 0.407273 | 0.045278 | 0.03881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000565 | 0.200542 | 2,214 | 71 | 87 | 31.183099 | 0.872881 | 0.178862 | 0 | 0.069767 | 0 | 0 | 0.054372 | 0 | 0 | 0 | 0 | 0.014085 | 0.046512 | 1 | 0.186047 | false | 0 | 0.209302 | 0.093023 | 0.534884 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c890e90a3e98b6bea29fc02df9a08e7506ee1738 | 855 | py | Python | questions/permutations/Solution.py | marcus-aurelianus/leetcode-solutions | 8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6 | [
"MIT"
] | 141 | 2017-12-12T21:45:53.000Z | 2022-03-25T07:03:39.000Z | questions/permutations/Solution.py | marcus-aurelianus/leetcode-solutions | 8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6 | [
"MIT"
] | 32 | 2015-10-05T14:09:52.000Z | 2021-05-30T10:28:41.000Z | questions/permutations/Solution.py | marcus-aurelianus/leetcode-solutions | 8b43e72fe1f51c84abc3e89b181ca51f09dc7ca6 | [
"MIT"
] | 56 | 2015-09-30T05:23:28.000Z | 2022-03-08T07:57:11.000Z | '''
Given a collection of distinct integers, return all possible permutations.
Example:
Input: [1,2,3]
Output:
[
[1,2,3],
[1,3,2],
[2,1,3],
[2,3,1],
[3,1,2],
[3,2,1]
]
'''
class Solution:
def permute(self, nums: List[int]) -> List[List[int]]:
def generate_permutation(nums, ret, curr, visited... | 21.923077 | 74 | 0.48655 | 100 | 855 | 4.13 | 0.4 | 0.01937 | 0.135593 | 0.188862 | 0.268765 | 0.268765 | 0 | 0 | 0 | 0 | 0 | 0.039848 | 0.383626 | 855 | 38 | 75 | 22.5 | 0.743833 | 0.207018 | 0 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0 | 0 | 0.263158 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c89a4a481dbee1cb826ea24e3dee83a4045bac0c | 1,612 | py | Python | BaseTools/PythonLibrary/Uefi/Capsule/CatGenerator_test.py | StefMa/mu_basecore | 12287e65da8053c8d43d198ad94d0cb2e5a8367d | [
"BSD-2-Clause"
] | null | null | null | BaseTools/PythonLibrary/Uefi/Capsule/CatGenerator_test.py | StefMa/mu_basecore | 12287e65da8053c8d43d198ad94d0cb2e5a8367d | [
"BSD-2-Clause"
] | null | null | null | BaseTools/PythonLibrary/Uefi/Capsule/CatGenerator_test.py | StefMa/mu_basecore | 12287e65da8053c8d43d198ad94d0cb2e5a8367d | [
"BSD-2-Clause"
] | null | null | null | import os
import logging
import unittest
from Uefi.Capsule.CatGenerator import *
#must run from build env or set PYTHONPATH env variable to point to the PythonLibrary folder
class CatGeneratorTest(unittest.TestCase):
def test_win10_OS(self):
o = CatGenerator("x64", "win10")
self.assertEqual(o.OperatingSyst... | 27.322034 | 92 | 0.687345 | 208 | 1,612 | 5.221154 | 0.317308 | 0.070902 | 0.140884 | 0.116022 | 0.39779 | 0.332413 | 0.247698 | 0.188766 | 0 | 0 | 0 | 0.050784 | 0.169355 | 1,612 | 58 | 93 | 27.793103 | 0.760269 | 0.056452 | 0 | 0.25 | 0 | 0 | 0.137022 | 0 | 0 | 0 | 0 | 0 | 0.3 | 1 | 0.275 | false | 0 | 0.1 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 0 | 1 |
c8a05881cea2e9222e5679c4d68721b3033524b4 | 1,212 | py | Python | mtp_api/apps/security/migrations/0018_auto_20181003_1117.py | ministryofjustice/mtp-api | b1c34c29e4aa9f48598cb060abe1368ae7686e0b | [
"MIT"
] | 5 | 2016-01-05T12:21:35.000Z | 2020-10-28T17:06:02.000Z | mtp_api/apps/security/migrations/0018_auto_20181003_1117.py | ministryofjustice/mtp-api | b1c34c29e4aa9f48598cb060abe1368ae7686e0b | [
"MIT"
] | 209 | 2015-06-12T09:39:41.000Z | 2022-03-21T16:01:19.000Z | mtp_api/apps/security/migrations/0018_auto_20181003_1117.py | ministryofjustice/mtp-api | b1c34c29e4aa9f48598cb060abe1368ae7686e0b | [
"MIT"
] | 1 | 2021-04-11T06:19:23.000Z | 2021-04-11T06:19:23.000Z | # Generated by Django 2.0.8 on 2018-10-03 10:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('prison', '0016_auto_20171121_1110'),
('security', '0017_auto_20180914_1613'),
]
operations = [
migrations.AddField(
mode... | 30.3 | 99 | 0.594059 | 107 | 1,212 | 6.579439 | 0.495327 | 0.06392 | 0.130682 | 0.153409 | 0.423295 | 0.318182 | 0.318182 | 0.21875 | 0.21875 | 0.21875 | 0 | 0.056977 | 0.290429 | 1,212 | 39 | 100 | 31.076923 | 0.761628 | 0.037129 | 0 | 0.454545 | 1 | 0 | 0.221459 | 0.060944 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.030303 | 0 | 0.121212 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c8b239eca0a1d2f5dc5a1af020c95ed9fd5dbe3f | 670 | py | Python | src/components/kankeiforms/__init__.py | BigJerBD/Kankei-Backend | 22e512405dff98c9b517d483ac7ddd168c459999 | [
"MIT"
] | null | null | null | src/components/kankeiforms/__init__.py | BigJerBD/Kankei-Backend | 22e512405dff98c9b517d483ac7ddd168c459999 | [
"MIT"
] | null | null | null | src/components/kankeiforms/__init__.py | BigJerBD/Kankei-Backend | 22e512405dff98c9b517d483ac7ddd168c459999 | [
"MIT"
] | null | null | null | from components.kankeiforms.kankeiform import KankeiForm
def init(config):
KankeiForm.timeout = config.DB_TIMEOUT_SEC
from . import exploration
from . import comparison
from . import random
def get_kankeiforms(config):
init(config)
return KankeiForm.registry
def get_kankeiforms_dict(config... | 24.814815 | 76 | 0.698507 | 82 | 670 | 5.646341 | 0.54878 | 0.064795 | 0.073434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222388 | 670 | 26 | 77 | 25.769231 | 0.888676 | 0.225373 | 0 | 0.133333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.266667 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
c8cbf97a615a9819b5b19beded09290020f9eb12 | 4,163 | py | Python | tests/graph/test_ppatterns.py | saezlab/squidpy | d3532fce65c57afaf8cbed61e82435319c63ca54 | [
"BSD-3-Clause"
] | null | null | null | tests/graph/test_ppatterns.py | saezlab/squidpy | d3532fce65c57afaf8cbed61e82435319c63ca54 | [
"BSD-3-Clause"
] | null | null | null | tests/graph/test_ppatterns.py | saezlab/squidpy | d3532fce65c57afaf8cbed61e82435319c63ca54 | [
"BSD-3-Clause"
] | null | null | null | import pytest
from anndata import AnnData
from pandas.testing import assert_frame_equal
import numpy as np
from squidpy.gr import moran, ripley_k, co_occurrence
MORAN_K = "moranI"
def test_ripley_k(adata: AnnData):
"""Check ripley score and shape."""
ripley_k(adata, cluster_key="leiden")
# assert rip... | 41.217822 | 111 | 0.723517 | 646 | 4,163 | 4.422601 | 0.19969 | 0.084004 | 0.036402 | 0.027301 | 0.610081 | 0.529226 | 0.500525 | 0.455723 | 0.419321 | 0.419321 | 0 | 0.015612 | 0.153735 | 4,163 | 100 | 112 | 41.63 | 0.795345 | 0.184482 | 0 | 0.280702 | 0 | 0 | 0.088464 | 0 | 0 | 0 | 0 | 0 | 0.45614 | 1 | 0.087719 | false | 0 | 0.087719 | 0 | 0.175439 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c8d35523a045f3013f4710bab1beb903b85de30e | 896 | py | Python | Machine-Learning-with-Python- From-LM-to-DL/Midterm/04_midterm_exercise.py | andresdelarosa1887/Public-Projects | db8d8e0c0f5f0f7326346462fcdfe21ce8142a12 | [
"Unlicense"
] | 1 | 2020-09-29T17:29:34.000Z | 2020-09-29T17:29:34.000Z | Machine-Learning-with-Python- From-LM-to-DL/Midterm/04_midterm_exercise.py | andresdelarosa1887/Public-Projects | db8d8e0c0f5f0f7326346462fcdfe21ce8142a12 | [
"Unlicense"
] | null | null | null | Machine-Learning-with-Python- From-LM-to-DL/Midterm/04_midterm_exercise.py | andresdelarosa1887/Public-Projects | db8d8e0c0f5f0f7326346462fcdfe21ce8142a12 | [
"Unlicense"
] | null | null | null | import numpy as np
classification_vector= np.array([-1,-1,-1,-1,-1,1,1,1,1,1])
data_vector= np.array([[0,0], [2,0],[3,0], [0,2],[2,2],[5,1],[5,2],[2,4],[4,4],[5,5]])
def quadratic_kernel(data_vector):
return np.array((1 + np.dot(data_vector, data_vector.T))**2)
def perceptron_quadratic_kernel(feature_matrix, la... | 29.866667 | 86 | 0.580357 | 138 | 896 | 3.601449 | 0.297101 | 0.036217 | 0.04829 | 0.056338 | 0.020121 | 0.020121 | 0.020121 | 0.020121 | 0.020121 | 0 | 0 | 0.064083 | 0.251116 | 896 | 29 | 87 | 30.896552 | 0.676602 | 0.015625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 0.052632 | 0.210526 | 0.052632 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c8ddbaef293385ba1b09b327f3c904dc2b9d6e7c | 15,850 | py | Python | randomFourierComplete.py | aasensio/randomModulator | 6dcce8dedc995e9a8193150824a2569651b48ad2 | [
"MIT"
] | 1 | 2016-05-04T06:05:04.000Z | 2016-05-04T06:05:04.000Z | randomFourierComplete.py | aasensio/randomModulator | 6dcce8dedc995e9a8193150824a2569651b48ad2 | [
"MIT"
] | null | null | null | randomFourierComplete.py | aasensio/randomModulator | 6dcce8dedc995e9a8193150824a2569651b48ad2 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as pl
import scipy.sparse as sp
import scipy.sparse.linalg as splinalg
import scipy.fftpack as fft
def bin_ndarray(ndarray, new_shape, operation='sum'):
"""
Bins an ndarray in all axes based on the target shape, by summing or
averaging.
Number of output dime... | 32.680412 | 218 | 0.618991 | 2,508 | 15,850 | 3.898325 | 0.153908 | 0.023525 | 0.009205 | 0.030684 | 0.295285 | 0.268692 | 0.212744 | 0.177969 | 0.15966 | 0.152092 | 0 | 0.067929 | 0.193817 | 15,850 | 484 | 219 | 32.747934 | 0.697214 | 0.187823 | 0 | 0.166667 | 0 | 0.004065 | 0.03359 | 0.00206 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.020325 | null | null | 0.00813 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
c8e8ef99975510d56a532b6b6ad97424f7f0726a | 2,963 | py | Python | example/settings.py | rheinwerk-verlag/planning-poker-jira | 23a4f4d5cc33a148d648c341416723216f338397 | [
"BSD-3-Clause"
] | 1 | 2021-08-24T08:12:17.000Z | 2021-08-24T08:12:17.000Z | example/settings.py | rheinwerk-verlag/planning-poker-jira | 23a4f4d5cc33a148d648c341416723216f338397 | [
"BSD-3-Clause"
] | 1 | 2021-09-13T07:18:46.000Z | 2021-09-13T07:18:46.000Z | example/settings.py | rheinwerk-verlag/planning-poker-jira | 23a4f4d5cc33a148d648c341416723216f338397 | [
"BSD-3-Clause"
] | null | null | null | # Django settings for example project.
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
DEBUG = True
TEMPLATE_DEBUG = DEBUG
SECRET_KEY = '96a40240ed25433cb8ff8ce819bf710b'
TEMPLATE_DIRS = (
... | 29.04902 | 87 | 0.693891 | 312 | 2,963 | 6.474359 | 0.461538 | 0.096535 | 0.047525 | 0.022277 | 0.066832 | 0.022277 | 0.022277 | 0.022277 | 0 | 0 | 0 | 0.008642 | 0.179885 | 2,963 | 101 | 88 | 29.336634 | 0.822634 | 0.261559 | 0 | 0 | 0 | 0 | 0.554328 | 0.46547 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.014925 | 0.014925 | 0 | 0.014925 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
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