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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
49f0cb5e7d179f4e49a3a3d5e3925cf9bdd8840d | 3,540 | py | Python | upwork_crawler/crawlers/login/crawler.py | mgiovani/upwork-crawler | 8b166b3767872ba51428a87f0011ba148e77c5d5 | [
"MIT"
] | 1 | 2021-12-20T02:37:12.000Z | 2021-12-20T02:37:12.000Z | upwork_crawler/crawlers/login/crawler.py | mgiovani/upwork-crawler | 8b166b3767872ba51428a87f0011ba148e77c5d5 | [
"MIT"
] | 4 | 2021-03-15T16:10:37.000Z | 2021-03-15T16:38:39.000Z | upwork_crawler/crawlers/login/crawler.py | mgiovani/upwork-crawler | 8b166b3767872ba51428a87f0011ba148e77c5d5 | [
"MIT"
] | null | null | null | import os
from time import sleep
from loguru import logger
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.sup... | 36.875 | 168 | 0.685311 | 436 | 3,540 | 5.311927 | 0.321101 | 0.046632 | 0.033679 | 0.036701 | 0.129534 | 0.086356 | 0.027634 | 0 | 0 | 0 | 0 | 0.015068 | 0.231356 | 3,540 | 95 | 169 | 37.263158 | 0.83609 | 0.015819 | 0 | 0.0375 | 0 | 0.0125 | 0.162116 | 0.03363 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.1125 | 0.15 | 0.0125 | 0.35 | 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 |
49f4e8b9bde671c990c0569b8a436a6f051f4d1a | 839 | py | Python | sopel_SpiceBotSERV/SpiceBotCore/botsetup/welcome_setup.py | SpiceBot/SpiceBotSERV | 19d254c694287af869f5390f71efd20a9fcf620f | [
"EFL-2.0"
] | null | null | null | sopel_SpiceBotSERV/SpiceBotCore/botsetup/welcome_setup.py | SpiceBot/SpiceBotSERV | 19d254c694287af869f5390f71efd20a9fcf620f | [
"EFL-2.0"
] | null | null | null | sopel_SpiceBotSERV/SpiceBotCore/botsetup/welcome_setup.py | SpiceBot/SpiceBotSERV | 19d254c694287af869f5390f71efd20a9fcf620f | [
"EFL-2.0"
] | null | null | null | # coding=utf8
from __future__ import unicode_literals, absolute_import, division, print_function
import sopel
import inspect
from SpiceBotCore.spicebot import spicebot
@sopel.module.event("001")
@sopel.module.rule('.*')
def welcome_setup_start(bot, trigger):
initialise_irc_backend(bot)
def initialise_irc_bac... | 22.078947 | 82 | 0.737783 | 103 | 839 | 5.815534 | 0.533981 | 0.073456 | 0.053422 | 0.0601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005525 | 0.137068 | 839 | 37 | 83 | 22.675676 | 0.821823 | 0.071514 | 0 | 0.105263 | 0 | 0 | 0.032895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0 | 0.210526 | 0 | 0.473684 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
49f7f846d4ae2730e39b2208c2e130ba389fdb2b | 3,954 | py | Python | venv/Lib/site-packages/test/test_cp4d_authenticator.py | jo2hu6/home-assistant | 1f97943a97d511323f7bfb57facb3fe93840d726 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/test/test_cp4d_authenticator.py | jo2hu6/home-assistant | 1f97943a97d511323f7bfb57facb3fe93840d726 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/test/test_cp4d_authenticator.py | jo2hu6/home-assistant | 1f97943a97d511323f7bfb57facb3fe93840d726 | [
"Apache-2.0"
] | null | null | null | import pytest
import responses
import time
import jwt
import json
from ibm_cloud_sdk_core.authenticators import CloudPakForDataAuthenticator
def test_iam_authenticator():
authenticator = CloudPakForDataAuthenticator(
'my_username', 'my_password', 'http://my_url')
assert authenticator is not None
as... | 39.939394 | 165 | 0.685888 | 442 | 3,954 | 5.99095 | 0.262443 | 0.071752 | 0.081571 | 0.105363 | 0.600831 | 0.512085 | 0.441088 | 0.441088 | 0.354985 | 0.328927 | 0 | 0.022376 | 0.197522 | 3,954 | 98 | 166 | 40.346939 | 0.812165 | 0 | 0 | 0.175 | 0 | 0.0125 | 0.207132 | 0.014163 | 0 | 0 | 0 | 0 | 0.2375 | 1 | 0.0375 | false | 0.15 | 0.075 | 0 | 0.1125 | 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 |
49fd3ac2be965bd2086cbb19ecb764f772f2be23 | 191 | py | Python | tryouts.py | gallifrei-hashcodle/pizzatask | 74f2b062bca7c97592d5a9a228a40f5990790fd0 | [
"MIT"
] | null | null | null | tryouts.py | gallifrei-hashcodle/pizzatask | 74f2b062bca7c97592d5a9a228a40f5990790fd0 | [
"MIT"
] | null | null | null | tryouts.py | gallifrei-hashcodle/pizzatask | 74f2b062bca7c97592d5a9a228a40f5990790fd0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 1 19:58:06 2018
@author: Filip
"""
import in_out as inout
something = inout.read_task("Inputs/a_example.in")
print(something["rides_list"])
| 15.916667 | 50 | 0.680628 | 31 | 191 | 4.064516 | 0.903226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07362 | 0.146597 | 191 | 11 | 51 | 17.363636 | 0.699387 | 0.387435 | 0 | 0 | 0 | 0 | 0.266055 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 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 |
49fe3ffc76dc7f182ed8b5bc7ff8fb3b09feb51c | 1,815 | py | Python | students/k33401/Litvak_Igor/Lr3/cities/migrations/0001_initial.py | aglaya-pill/ITMO_ICT_WebDevelopment_2021-2022 | a63691317a72fb9b29ae537bc3d7766661458c22 | [
"MIT"
] | null | null | null | students/k33401/Litvak_Igor/Lr3/cities/migrations/0001_initial.py | aglaya-pill/ITMO_ICT_WebDevelopment_2021-2022 | a63691317a72fb9b29ae537bc3d7766661458c22 | [
"MIT"
] | null | null | null | students/k33401/Litvak_Igor/Lr3/cities/migrations/0001_initial.py | aglaya-pill/ITMO_ICT_WebDevelopment_2021-2022 | a63691317a72fb9b29ae537bc3d7766661458c22 | [
"MIT"
] | null | null | null | # Generated by Django 4.0.1 on 2022-01-23 10:37
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AU... | 41.25 | 178 | 0.621488 | 181 | 1,815 | 6.093923 | 0.381215 | 0.089755 | 0.090662 | 0.059837 | 0.49864 | 0.49864 | 0.49864 | 0.49864 | 0.49864 | 0.49864 | 0 | 0.021261 | 0.248485 | 1,815 | 43 | 179 | 42.209302 | 0.78739 | 0.024793 | 0 | 0.333333 | 1 | 0 | 0.114819 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.222222 | 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 |
b700edfca6dab620a5bbd0b94c033d48ecfd802d | 414 | py | Python | python/problem3.py | shubhamoy/project-euler-solutions | 9af99c4371ff565d5d8b13fe2fbaaafa5a29da51 | [
"MIT"
] | 1 | 2016-05-14T15:58:03.000Z | 2016-05-14T15:58:03.000Z | python/problem3.py | shubhamoy/project-euler-solutions | 9af99c4371ff565d5d8b13fe2fbaaafa5a29da51 | [
"MIT"
] | null | null | null | python/problem3.py | shubhamoy/project-euler-solutions | 9af99c4371ff565d5d8b13fe2fbaaafa5a29da51 | [
"MIT"
] | null | null | null | import math
def isPrime(n):
if n == 2: return 1
if n == 3: return 1
if n % 2 == 0: return 0
if n % 3 == 0: return 0
i = 5
w = 2
while i * i <= n:
if n % i == 0:
return 0
i += w
w = 6 - w
return 1
n = 600851475143
b = math.sqrt(n)
i = 1
while(i<b):
if(isPrime(i) == 1):
if(n ... | 14.275862 | 34 | 0.400966 | 74 | 414 | 2.243243 | 0.27027 | 0.108434 | 0.072289 | 0.120482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142222 | 0.456522 | 414 | 28 | 35 | 14.785714 | 0.595556 | 0 | 0 | 0 | 0 | 0 | 0.004831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.043478 | null | null | 0.086957 | 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 |
b70d9e1a4c95fadb31d92545b8d84d2ead4a174f | 488 | py | Python | __init__.py | abaelhe/pydis | 66189d7e14e93bfd747aad75736cb8fc100a991f | [
"MIT"
] | null | null | null | __init__.py | abaelhe/pydis | 66189d7e14e93bfd747aad75736cb8fc100a991f | [
"MIT"
] | null | null | null | __init__.py | abaelhe/pydis | 66189d7e14e93bfd747aad75736cb8fc100a991f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This file is part of tornadis library released under the MIT license.
# See the LICENSE file for more information.
from .client import Pydis, StrictRedis, Redis, PubSub, Script # noqa
from .pubsub_server import PubsubServer, PubsubNamespace, PubsubManager
#from .pip... | 30.5 | 71 | 0.702869 | 56 | 488 | 6.035714 | 0.678571 | 0.094675 | 0.12426 | 0.159763 | 0.195266 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002513 | 0.184426 | 488 | 15 | 72 | 32.533333 | 0.846734 | 0.403689 | 0 | 0 | 0 | 0 | 0.240283 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
b7106f15e14fec06be332faedc399ead41593ef7 | 6,022 | py | Python | tests/test_uds_document.py | esteng/decomp | a6996b379e4a5e1a70a28b2b6f86bf39160ee10b | [
"MIT"
] | 48 | 2019-10-01T13:33:24.000Z | 2022-02-14T13:58:57.000Z | tests/test_uds_document.py | esteng/decomp | a6996b379e4a5e1a70a28b2b6f86bf39160ee10b | [
"MIT"
] | 15 | 2019-10-01T15:01:36.000Z | 2021-05-25T17:23:22.000Z | tests/test_uds_document.py | esteng/decomp | a6996b379e4a5e1a70a28b2b6f86bf39160ee10b | [
"MIT"
] | 9 | 2020-03-02T17:54:17.000Z | 2021-06-17T19:53:53.000Z | import pytest
test_document_name = 'answers-20111105112131AA6gIX6_ans'
test_document_genre = 'answers'
test_document_timestamp = '20111105112131'
test_document_text = 'My dad just does n\'t understand ? Ugh my dad is so stupid ... he just does n\'t understand anything ! I have 5 sisters and so including my mom ... h... | 71.690476 | 1,040 | 0.697277 | 813 | 6,022 | 5.03321 | 0.270603 | 0.041056 | 0.090909 | 0.053763 | 0.502688 | 0.384409 | 0.351173 | 0.335044 | 0.330645 | 0.330645 | 0 | 0.117992 | 0.123215 | 6,022 | 83 | 1,041 | 72.554217 | 0.657008 | 0 | 0 | 0.1875 | 0 | 0.078125 | 0.539024 | 0.197111 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.015625 | 0.03125 | 0.203125 | 0 | 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 |
b71a692179cb766208801ace7addcfb217c03339 | 1,104 | py | Python | src/analise3.py | jnascimentocode/desafio-data-science | 6e9f0cafc4feff0bb69498300f1c6fff67934362 | [
"MIT"
] | null | null | null | src/analise3.py | jnascimentocode/desafio-data-science | 6e9f0cafc4feff0bb69498300f1c6fff67934362 | [
"MIT"
] | null | null | null | src/analise3.py | jnascimentocode/desafio-data-science | 6e9f0cafc4feff0bb69498300f1c6fff67934362 | [
"MIT"
] | null | null | null | import pandas as pd
import os
from upload_dados import *
import seaborn as sns
import matplotlib.pyplot as plt
os.system('cls')
#3. Existem correlações entre as características de um anúncio e seu faturamento?
# a. Quais? Explique
# filtrando todos os dados somente dos anuncios alugados
data_df = data_df.loc[data_d... | 39.428571 | 163 | 0.711051 | 157 | 1,104 | 4.878981 | 0.643312 | 0.031332 | 0.031332 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00308 | 0.117754 | 1,104 | 27 | 164 | 40.888889 | 0.783368 | 0.224638 | 0 | 0.117647 | 0 | 0 | 0.277647 | 0.075294 | 0 | 0 | 0 | 0.037037 | 0 | 1 | 0 | false | 0 | 0.294118 | 0 | 0.294118 | 0.352941 | 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 |
b71bf01277a8373633f894c04a7a3f0739f13832 | 460 | py | Python | exercicios/ex011.py | grievous0/Python_exercises | d1bef850c6d0205ff55c6a059e2bff382871853e | [
"MIT"
] | null | null | null | exercicios/ex011.py | grievous0/Python_exercises | d1bef850c6d0205ff55c6a059e2bff382871853e | [
"MIT"
] | null | null | null | exercicios/ex011.py | grievous0/Python_exercises | d1bef850c6d0205ff55c6a059e2bff382871853e | [
"MIT"
] | null | null | null | # Faça um programa que leia a largura e a altura de uma parede em metros, calcule a sua área e a quantidade de tinta necessária para pintá-la, sabendo que cada litro de tinta pinta uma área de 2 metros quadrados.
b = float(input('Insira a largura da parede: '))
h = float(input('Insira a altura da parede: '))
a = b * h
... | 65.714286 | 212 | 0.719565 | 86 | 460 | 3.848837 | 0.523256 | 0.063444 | 0.096677 | 0.102719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010582 | 0.178261 | 460 | 7 | 213 | 65.714286 | 0.865079 | 0.456522 | 0 | 0 | 0 | 0 | 0.546185 | 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 |
b7225f3408fc61ed098c987c2e0f134561c3c873 | 1,300 | py | Python | Ebooks/forms.py | Akash4307/Wise-master | 5f484e3791a8e4361d8bcad570ac2661636a5cfc | [
"Apache-2.0"
] | null | null | null | Ebooks/forms.py | Akash4307/Wise-master | 5f484e3791a8e4361d8bcad570ac2661636a5cfc | [
"Apache-2.0"
] | 8 | 2021-03-18T21:30:54.000Z | 2022-03-02T14:56:55.000Z | Ebooks/forms.py | Akash4307/Wise-master | 5f484e3791a8e4361d8bcad570ac2661636a5cfc | [
"Apache-2.0"
] | null | null | null | from django import forms
from .models import PdfInfo
class UserForm(forms.ModelForm):
PdfName = forms.CharField(widget = forms.TextInput(
attrs={
'placeholder':'Pdf Book Name',
'class': 'form-control'
}
))
PdfPrice = forms.CharField(widget = forms.TextI... | 18.84058 | 68 | 0.486154 | 97 | 1,300 | 6.515464 | 0.412371 | 0.110759 | 0.158228 | 0.197785 | 0.338608 | 0.338608 | 0.338608 | 0.18038 | 0.18038 | 0 | 0 | 0 | 0.398462 | 1,300 | 69 | 69 | 18.84058 | 0.808184 | 0 | 0 | 0.340909 | 0 | 0 | 0.238278 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.204545 | 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 |
b723ff65f9bf9d19add776837972f1233d829383 | 2,737 | py | Python | scrum/roadmap/feature.py | chris-sanders/cdk-scripts | 2ce3575c64862c1b1300708e6a5efa27b6f36add | [
"Apache-2.0"
] | null | null | null | scrum/roadmap/feature.py | chris-sanders/cdk-scripts | 2ce3575c64862c1b1300708e6a5efa27b6f36add | [
"Apache-2.0"
] | null | null | null | scrum/roadmap/feature.py | chris-sanders/cdk-scripts | 2ce3575c64862c1b1300708e6a5efa27b6f36add | [
"Apache-2.0"
] | null | null | null | import re
from roadmap.logging import Logger
class BaseFeature:
def __init__(self, name, release, status=None):
self.name = name
self.release = release
self.status = status
def __repr__(self):
return f"{self.release}:{self.name}:{self.status.value}"
class RoadmapFeature(Bas... | 27.928571 | 83 | 0.588235 | 320 | 2,737 | 4.821875 | 0.2625 | 0.041478 | 0.028516 | 0.04407 | 0.102398 | 0.102398 | 0.073882 | 0.073882 | 0.073882 | 0.073882 | 0 | 0.001556 | 0.295579 | 2,737 | 97 | 84 | 28.216495 | 0.798755 | 0.02521 | 0 | 0.144737 | 0 | 0 | 0.09865 | 0.058515 | 0 | 0 | 0 | 0.010309 | 0 | 1 | 0.171053 | false | 0 | 0.026316 | 0.065789 | 0.434211 | 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 |
b72763b7257be8441deb54f0a7966f362f1e0339 | 1,700 | py | Python | python/pyspark/streaming/snappy/snappydstream.py | wiltonlazary/snappydata | ade39e6fb846101e43f85cedcb6721cacfe531c1 | [
"Apache-2.0"
] | 1,058 | 2016-02-02T05:50:23.000Z | 2021-02-19T01:04:08.000Z | python/pyspark/streaming/snappy/snappydstream.py | wiltonlazary/snappydata | ade39e6fb846101e43f85cedcb6721cacfe531c1 | [
"Apache-2.0"
] | 723 | 2016-01-30T15:48:21.000Z | 2020-12-08T12:20:39.000Z | python/pyspark/streaming/snappy/snappydstream.py | wiltonlazary/snappydata | ade39e6fb846101e43f85cedcb6721cacfe531c1 | [
"Apache-2.0"
] | 219 | 2016-01-29T06:29:22.000Z | 2021-02-03T08:54:07.000Z | #
# Copyright (c) 2017-2019 TIBCO Software Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you
#
# may not use this file except in compliance with the License. You
# may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 36.170213 | 71 | 0.731176 | 229 | 1,700 | 5.358079 | 0.585153 | 0.0489 | 0.02119 | 0.02608 | 0.05705 | 0.05705 | 0 | 0 | 0 | 0 | 0 | 0.00885 | 0.202353 | 1,700 | 46 | 72 | 36.956522 | 0.896018 | 0.620588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.166667 | 0 | 0.5 | 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 |
b7285ad42a33ccb7cf7e4c753d0bfe19e2b34bd6 | 3,176 | py | Python | prepare_features.py | dfalci/deep_pt_srl | 6cfb209a96aa987aebf02aa1f6d321dceb822ca4 | [
"BSD-2-Clause"
] | 6 | 2018-03-20T12:41:30.000Z | 2021-08-29T14:25:05.000Z | prepare_features.py | dfalci/deep_pt_srl | 6cfb209a96aa987aebf02aa1f6d321dceb822ca4 | [
"BSD-2-Clause"
] | 1 | 2019-11-29T12:05:57.000Z | 2020-05-12T17:05:52.000Z | prepare_features.py | dfalci/deep_pt_srl | 6cfb209a96aa987aebf02aa1f6d321dceb822ca4 | [
"BSD-2-Clause"
] | 1 | 2018-02-28T04:51:31.000Z | 2018-02-28T04:51:31.000Z | # -*- coding: utf-8; -*-
# Copyright (c) 2017, Daniel Falci - danielfalci@gmail.com
# Laboratory for Advanced Information Systems - LAIS
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# *... | 44.111111 | 125 | 0.775819 | 417 | 3,176 | 5.865707 | 0.52518 | 0.006541 | 0.0139 | 0.018806 | 0.10139 | 0.081766 | 0.055601 | 0.055601 | 0.055601 | 0.055601 | 0 | 0.010662 | 0.143577 | 3,176 | 72 | 126 | 44.111111 | 0.888603 | 0.53432 | 0 | 0 | 0 | 0 | 0.266391 | 0.022084 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.2 | null | null | 0.366667 | 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 |
b72bc0ab75f586d4a867187641781b1af792ff8d | 519 | py | Python | imagepy/menus/File/save_plg.py | dada1437903138/imagepy | 65d9ce088894eef587054e04018f9d34ff65084f | [
"BSD-4-Clause"
] | 1,178 | 2017-05-25T06:59:01.000Z | 2022-03-31T11:38:53.000Z | imagepy/menus/File/save_plg.py | TomisTony/imagepy | 3c378ebaf72762b94f0826a410897757ebafe689 | [
"BSD-4-Clause"
] | 76 | 2017-06-10T17:01:50.000Z | 2021-12-23T08:13:29.000Z | imagepy/menus/File/save_plg.py | TomisTony/imagepy | 3c378ebaf72762b94f0826a410897757ebafe689 | [
"BSD-4-Clause"
] | 315 | 2017-05-25T12:59:53.000Z | 2022-03-07T22:52:21.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 5 03:19:13 2016
@author: yxl
"""
from sciapp.action import dataio
from sciapp.action import Simple
class SaveImage(dataio.ImageWriter):
title = 'Save'
def load(self, ips):
self.filt = [i for i in sorted(dataio.WriterManager.names())]
return True
class WindowCaptu... | 22.565217 | 63 | 0.699422 | 76 | 519 | 4.736842 | 0.710526 | 0.055556 | 0.088889 | 0.122222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027273 | 0.152216 | 519 | 23 | 64 | 22.565217 | 0.790909 | 0.136802 | 0 | 0 | 0 | 0 | 0.056689 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.153846 | 0 | 0.769231 | 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 |
b72e565446c3ae5835efa8f0949957b3895f3ea2 | 2,348 | py | Python | Machine Learning Scientist with Python Track/16. Introduction to Deep Learning with Keras/ch1_exercises.py | MuhammadAlBarham/datacamp | 65c180163b1ad235c79d85d4926e586a15a5f78f | [
"MIT"
] | 7 | 2020-09-14T00:26:19.000Z | 2022-02-08T20:53:52.000Z | Machine Learning Scientist with Python Track/16. Introduction to Deep Learning with Keras/ch1_exercises.py | MuhammadAlBarham/datacamp | 65c180163b1ad235c79d85d4926e586a15a5f78f | [
"MIT"
] | null | null | null | Machine Learning Scientist with Python Track/16. Introduction to Deep Learning with Keras/ch1_exercises.py | MuhammadAlBarham/datacamp | 65c180163b1ad235c79d85d4926e586a15a5f78f | [
"MIT"
] | 8 | 2021-01-12T15:23:20.000Z | 2022-03-17T12:06:00.000Z | # Exercise_1
# Import the Sequential model and Dense layer
from keras.models import Sequential
from keras.layers import Dense
# Create a Sequential model
model = Sequential()
# Add an input layer and a hidden layer with 10 neurons
model.add(Dense(10, input_shape=(2,), activation="relu"))
# Add a 1-neuron output lay... | 24.715789 | 66 | 0.649915 | 321 | 2,348 | 4.676012 | 0.280374 | 0.053298 | 0.086609 | 0.079947 | 0.386409 | 0.350433 | 0.178548 | 0.139907 | 0.139907 | 0.075949 | 0 | 0.02409 | 0.133731 | 2,348 | 94 | 67 | 24.978723 | 0.713864 | 0.385009 | 0 | 0.628571 | 0 | 0 | 0.064585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.114286 | null | null | 0.057143 | 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 |
b740d94096f210e873978f212d4f39f64156cc29 | 729 | py | Python | flamingo/core/plugins/rst/file.py | ejoerns/flamingo | 1d61c99c9ad34dd0a2a652f80783226051e07238 | [
"Apache-2.0"
] | null | null | null | flamingo/core/plugins/rst/file.py | ejoerns/flamingo | 1d61c99c9ad34dd0a2a652f80783226051e07238 | [
"Apache-2.0"
] | null | null | null | flamingo/core/plugins/rst/file.py | ejoerns/flamingo | 1d61c99c9ad34dd0a2a652f80783226051e07238 | [
"Apache-2.0"
] | null | null | null | from docutils.parsers.rst import Directive, directives
from docutils.nodes import raw
from .base import parse_rst
def file(context):
class File(Directive):
required_arguments = 1
has_content = True
def run(self):
filename = self.arguments[0]
_, _, link = context.c... | 24.3 | 68 | 0.552812 | 74 | 729 | 5.324324 | 0.513514 | 0.060914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004149 | 0.33882 | 729 | 29 | 69 | 25.137931 | 0.813278 | 0 | 0 | 0 | 0 | 0 | 0.042524 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.15 | 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 |
b741bb2379c1670cb76b4725a94c61905bcbb518 | 1,648 | py | Python | B4S1 - Computer Vision/Homework 02.py | abc1236762/UniversityHomework | 688f6fc45d610f84c0c24a6d5ab75ea70ea6a59f | [
"MIT"
] | null | null | null | B4S1 - Computer Vision/Homework 02.py | abc1236762/UniversityHomework | 688f6fc45d610f84c0c24a6d5ab75ea70ea6a59f | [
"MIT"
] | 4 | 2021-03-28T14:06:09.000Z | 2021-03-28T14:06:10.000Z | B4S1 - Computer Vision/Homework 02.py | abc1236762/UniversityHomework | 688f6fc45d610f84c0c24a6d5ab75ea70ea6a59f | [
"MIT"
] | 1 | 2020-04-29T16:00:32.000Z | 2020-04-29T16:00:32.000Z | import cv2 as cv
import numpy as np
img = cv.imread('gear_tooth.png', cv.IMREAD_GRAYSCALE)[26:147, 48:252]
img_a = cv.threshold(img, 0xE1, 0xFF, cv.THRESH_BINARY)[1]
cv.imshow('(a)', img_a)
kernel_dot = cv.getStructuringElement(cv.MORPH_ELLIPSE, (3, 3))
kernel_hole = cv.getStructuringElement(cv.MORPH_ELLIPSE, (30, 3... | 31.692308 | 73 | 0.750607 | 291 | 1,648 | 3.969072 | 0.233677 | 0.055411 | 0.151515 | 0.181818 | 0.245022 | 0.067532 | 0.067532 | 0 | 0 | 0 | 0 | 0.034251 | 0.096481 | 1,648 | 51 | 74 | 32.313725 | 0.741437 | 0 | 0 | 0 | 0 | 0 | 0.023058 | 0 | 0 | 0 | 0.004854 | 0 | 0 | 1 | 0 | false | 0 | 0.054054 | 0 | 0.054054 | 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 |
3f778719fa8ebb91ec5b8652be0e510eab813d27 | 3,169 | py | Python | dags/kube_operator_demo.py | badal-io/composer-demo | 647fe8b667d0968e72dee34bd3f98868233e763a | [
"Apache-2.0"
] | null | null | null | dags/kube_operator_demo.py | badal-io/composer-demo | 647fe8b667d0968e72dee34bd3f98868233e763a | [
"Apache-2.0"
] | null | null | null | dags/kube_operator_demo.py | badal-io/composer-demo | 647fe8b667d0968e72dee34bd3f98868233e763a | [
"Apache-2.0"
] | null | null | null | """An example DAG demonstrating Kubernetes Pod Operator."""
# [START composer_kubernetespodoperator]
import datetime
from airflow import models
from airflow.contrib.kubernetes import secret
from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator
# A Secret is an object that contains a sm... | 34.824176 | 83 | 0.611549 | 370 | 3,169 | 5.154054 | 0.418919 | 0.012585 | 0.042475 | 0.036182 | 0.036707 | 0.036707 | 0.036707 | 0 | 0 | 0 | 0 | 0.006233 | 0.291259 | 3,169 | 91 | 84 | 34.824176 | 0.842832 | 0.351846 | 0 | 0.245614 | 0 | 0 | 0.182446 | 0.014793 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.070175 | 0.070175 | 0 | 0.070175 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
3f7a4def4108ee7aa6d89107b27f9e3623cacdcc | 937 | py | Python | exercism/python/robot-name/robot_name.py | shanavas786/coding-fu | 2f29781ab793b5932a951259afffbbe0078e8a8a | [
"CC0-1.0"
] | 1 | 2021-02-12T03:49:13.000Z | 2021-02-12T03:49:13.000Z | exercism/python/robot-name/robot_name.py | shanavas786/coding-fu | 2f29781ab793b5932a951259afffbbe0078e8a8a | [
"CC0-1.0"
] | null | null | null | exercism/python/robot-name/robot_name.py | shanavas786/coding-fu | 2f29781ab793b5932a951259afffbbe0078e8a8a | [
"CC0-1.0"
] | null | null | null | import random
from string import ascii_uppercase, digits
class Robot(object):
NAMES = set()
def __init__(self):
self.name = Robot._generate_uniq_name()
def reset(self):
"""
Resets name and removes it from tracker
"""
old_name = self.name
self.name = Robot.... | 23.425 | 62 | 0.589114 | 108 | 937 | 4.87037 | 0.435185 | 0.102662 | 0.129278 | 0.079848 | 0.212928 | 0.110266 | 0 | 0 | 0 | 0 | 0 | 0.003077 | 0.306297 | 937 | 39 | 63 | 24.025641 | 0.806154 | 0.110993 | 0 | 0.272727 | 1 | 0 | 0.017038 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.454545 | 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 |
3f7d6ec54aac2ef4370c0d8097857fdaa7c36dd9 | 4,815 | py | Python | get-us-census-block/custom-recipes/get_us_census_block_id_from_lat_lon/recipe.py | gbetegon88/dataiku-contrib | 4683a9e08a3706a163810bf104bf6464025e235e | [
"Apache-2.0"
] | 93 | 2015-10-28T13:15:45.000Z | 2022-03-07T01:16:24.000Z | get-us-census-block/custom-recipes/get_us_census_block_id_from_lat_lon/recipe.py | gbetegon88/dataiku-contrib | 4683a9e08a3706a163810bf104bf6464025e235e | [
"Apache-2.0"
] | 130 | 2015-11-13T17:41:41.000Z | 2022-03-30T16:37:44.000Z | get-us-census-block/custom-recipes/get_us_census_block_id_from_lat_lon/recipe.py | gbetegon88/dataiku-contrib | 4683a9e08a3706a163810bf104bf6464025e235e | [
"Apache-2.0"
] | 88 | 2015-10-29T09:36:23.000Z | 2021-12-13T20:14:08.000Z | # -*- coding: utf-8 -*-
import dataiku
import pandas as pd, numpy as np
from dataiku import pandasutils as pdu
import requests
import time
from dataiku.customrecipe import *
import sys
print ('## Running Plugin v0.4.0 ##')
input_name = get_input_names_for_role('input')[0]
# Recipe out
output_ = get_output_names_f... | 30.474684 | 229 | 0.544341 | 613 | 4,815 | 4.004894 | 0.254486 | 0.044807 | 0.06721 | 0.028513 | 0.18167 | 0.129532 | 0.106721 | 0.106721 | 0.068839 | 0.068839 | 0 | 0.00913 | 0.317549 | 4,815 | 157 | 230 | 30.66879 | 0.737979 | 0.043406 | 0 | 0.07 | 0 | 0.01 | 0.242549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.07 | null | null | 0.06 | 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 |
3f86b64f284b2877c24d9e46903d494395ec0ecc | 12,285 | py | Python | configs/common/cores/arm/O3_PostK.py | bgerofi/riken_simulator | 419368da94612e073d321a6abc4d6fe8e2349871 | [
"BSD-3-Clause"
] | 25 | 2020-05-22T05:09:34.000Z | 2022-02-21T15:57:56.000Z | configs/common/cores/arm/O3_PostK.py | bgerofi/riken_simulator | 419368da94612e073d321a6abc4d6fe8e2349871 | [
"BSD-3-Clause"
] | null | null | null | configs/common/cores/arm/O3_PostK.py | bgerofi/riken_simulator | 419368da94612e073d321a6abc4d6fe8e2349871 | [
"BSD-3-Clause"
] | 7 | 2020-05-26T05:44:52.000Z | 2022-02-01T01:57:36.000Z | # Copyright (c) 2012 The Regents of The University of Michigan
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this list ... | 39 | 78 | 0.634432 | 1,394 | 12,285 | 5.502869 | 0.304878 | 0.174554 | 0.043801 | 0.056968 | 0.436449 | 0.402685 | 0.366184 | 0.342328 | 0.342328 | 0.331378 | 0 | 0.041414 | 0.260969 | 12,285 | 314 | 79 | 39.124204 | 0.803503 | 0.187464 | 0 | 0.37037 | 0 | 0 | 0.102531 | 0 | 0 | 0 | 0.001008 | 0 | 0 | 1 | 0.00823 | false | 0 | 0.004115 | 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 | 0 | 0 | 1 | 0 | 0 | 1 |
3f8abb809c3b0b369777168530717e3ec82deeff | 3,547 | py | Python | CreeDictionary/tests/utils_tests/test_paradigm_filler.py | aaronfay/cree-intelligent-dictionary | 5119aa819a48d0ce21c002af284bd2a28a77b15b | [
"Apache-2.0"
] | null | null | null | CreeDictionary/tests/utils_tests/test_paradigm_filler.py | aaronfay/cree-intelligent-dictionary | 5119aa819a48d0ce21c002af284bd2a28a77b15b | [
"Apache-2.0"
] | null | null | null | CreeDictionary/tests/utils_tests/test_paradigm_filler.py | aaronfay/cree-intelligent-dictionary | 5119aa819a48d0ce21c002af284bd2a28a77b15b | [
"Apache-2.0"
] | null | null | null | """
Tests importing the NA layouts.
Note: if the upstream layouts change, so will these tests!
"""
from string import Template
import pytest
from paradigm import EmptyRow, Heading, InflectionCell, Label, TitleRow
from utils import ParadigmSize, WordClass
from utils.paradigm_filler import ParadigmFiller, import_freque... | 36.193878 | 87 | 0.644488 | 419 | 3,547 | 5.365155 | 0.396181 | 0.007117 | 0.084075 | 0.087189 | 0.204626 | 0.129004 | 0.114769 | 0.05516 | 0.05516 | 0.05516 | 0 | 0.001774 | 0.205526 | 3,547 | 97 | 88 | 36.56701 | 0.795245 | 0.15647 | 0 | 0.0625 | 0 | 0 | 0.210383 | 0.057036 | 0 | 0 | 0 | 0.010309 | 0.125 | 1 | 0.0625 | false | 0 | 0.109375 | 0 | 0.1875 | 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 |
3f90946a0b6e65e183f90903b0dd0a43968dc7a7 | 1,807 | py | Python | harstorage/controllers/combine.py | dominicmcginnis/harstorage | d8680268fbe8b2094af567bef372c3f102cde93f | [
"Apache-2.0"
] | null | null | null | harstorage/controllers/combine.py | dominicmcginnis/harstorage | d8680268fbe8b2094af567bef372c3f102cde93f | [
"Apache-2.0"
] | null | null | null | harstorage/controllers/combine.py | dominicmcginnis/harstorage | d8680268fbe8b2094af567bef372c3f102cde93f | [
"Apache-2.0"
] | null | null | null | from pylons import request, response
from pylons import config
from pylons.decorators.rest import restrict
from harstorage.lib.base import BaseController
class CombineController(BaseController):
"""
Combine multiple static text resources (CSS, JavaScript)
into single file
"""
@restrict("GET")
... | 29.622951 | 74 | 0.501937 | 163 | 1,807 | 5.539877 | 0.398773 | 0.039867 | 0.057586 | 0.084164 | 0.571429 | 0.571429 | 0.571429 | 0.571429 | 0.571429 | 0.571429 | 0 | 0.005607 | 0.407858 | 1,807 | 60 | 75 | 30.116667 | 0.838318 | 0.132263 | 0 | 0.702703 | 0 | 0 | 0.085398 | 0.014342 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.108108 | 0 | 0.297297 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
3f93c220ed62f0bad8bb4cfafdad8d1a29e32c78 | 4,850 | py | Python | LimPy/run_langevin_parallel.py | UWPRG/LimPy | 2a2979306ec4264de31d5ce1d2f8a59bd6eb7e9c | [
"BSD-2-Clause"
] | 1 | 2017-11-08T00:53:03.000Z | 2017-11-08T00:53:03.000Z | LimPy/run_langevin_parallel.py | UWPRG/LimPy | 2a2979306ec4264de31d5ce1d2f8a59bd6eb7e9c | [
"BSD-2-Clause"
] | null | null | null | LimPy/run_langevin_parallel.py | UWPRG/LimPy | 2a2979306ec4264de31d5ce1d2f8a59bd6eb7e9c | [
"BSD-2-Clause"
] | 2 | 2019-01-09T06:59:10.000Z | 2019-01-18T14:58:50.000Z | """This is a script to run the langevin integrator in parallel."""
import langevin_functions as lf
from simulate1D import simulate_1Dsystem
from simulate2D import simulate_2Dsystem
from statistical_functions import perform_ks_analysis
import os
from mpi4py import MPI
import sys
import pandas as pd
import pdb
import n... | 37.022901 | 91 | 0.529897 | 514 | 4,850 | 4.85214 | 0.276265 | 0.052927 | 0.042101 | 0.040096 | 0.360064 | 0.321572 | 0.259022 | 0.259022 | 0.222133 | 0.222133 | 0 | 0.016592 | 0.353814 | 4,850 | 130 | 92 | 37.307692 | 0.779196 | 0 | 0 | 0.306306 | 0 | 0 | 0.062823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.099099 | null | null | 0.018018 | 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 |
3f98b63e761730423fcdbcadc7679743a5f598f1 | 487 | py | Python | setup.py | windschord/airport_weather | d78ba06d37ebcbd5d634445d4438376e468bbb08 | [
"MIT"
] | null | null | null | setup.py | windschord/airport_weather | d78ba06d37ebcbd5d634445d4438376e468bbb08 | [
"MIT"
] | null | null | null | setup.py | windschord/airport_weather | d78ba06d37ebcbd5d634445d4438376e468bbb08 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(name='airport weather',
version='0.1',
description='airport weather',
long_description=__doc__,
author='windschord.com',
author_email='support@windschord.com',
url='http://www.windschord.com',
packages = find_packages(),
... | 30.4375 | 61 | 0.650924 | 51 | 487 | 5.980392 | 0.72549 | 0.127869 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005181 | 0.207392 | 487 | 16 | 62 | 30.4375 | 0.784974 | 0 | 0 | 0 | 0 | 0 | 0.260246 | 0.045082 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.066667 | 0 | 0.066667 | 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 |
3f9920bfa0b49eb448e4371ba1b00e166337bd9d | 1,316 | py | Python | Back-End/Python/Basics/Part -2 - Iteration & Generators/05 - Context Managers/02_File_ctx_protocol_ie.py | ASHISHKUMAR2411/Programming-CookBook | 9c60655d64d21985ccb4196360858d98344701f9 | [
"MIT"
] | 25 | 2021-04-28T02:51:26.000Z | 2022-03-24T13:58:04.000Z | Back-End/Python/Basics/Part -2 - Iteration & Generators/05 - Context Managers/02_File_ctx_protocol_ie.py | ASHISHKUMAR2411/Programming-CookBook | 9c60655d64d21985ccb4196360858d98344701f9 | [
"MIT"
] | 1 | 2022-03-03T23:33:41.000Z | 2022-03-03T23:35:41.000Z | Back-End/Python/Basics/Part -2 - Iteration & Generators/05 - Context Managers/02_File_ctx_protocol_ie.py | ASHISHKUMAR2411/Programming-CookBook | 9c60655d64d21985ccb4196360858d98344701f9 | [
"MIT"
] | 15 | 2021-05-30T01:35:20.000Z | 2022-03-25T12:38:25.000Z |
class File:
def __init__(self, name, mode):
self.name = name
self.mode = mode
def __enter__(self):
print('opening file...')
self.file = open(self.name, self.mode)
return self.file
def __exit__(self, exc_type, exc_value, exc_traceback):
print('closing file..... | 20.5625 | 59 | 0.571429 | 180 | 1,316 | 3.988889 | 0.216667 | 0.066852 | 0.066852 | 0.062674 | 0.707521 | 0.683844 | 0.683844 | 0.683844 | 0.683844 | 0.683844 | 0 | 0.00627 | 0.272796 | 1,316 | 64 | 60 | 20.5625 | 0.743992 | 0.097264 | 0 | 0.634146 | 0 | 0 | 0.117997 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.170732 | false | 0 | 0 | 0 | 0.341463 | 0.292683 | 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 |
3f9977fc3ec953ecd9f75aa792559e5d6c544824 | 3,099 | py | Python | sleekxmpp/plugins/xep_0016/stanza.py | E-Tahta/sleekxmpp | ed067c9412835c5fe44bf203936262bcec09ced4 | [
"BSD-3-Clause"
] | 499 | 2015-01-04T21:45:16.000Z | 2022-02-14T13:04:08.000Z | sleekxmpp/plugins/xep_0016/stanza.py | E-Tahta/sleekxmpp | ed067c9412835c5fe44bf203936262bcec09ced4 | [
"BSD-3-Clause"
] | 159 | 2015-01-02T19:09:47.000Z | 2020-02-12T08:29:54.000Z | sleekxmpp/plugins/xep_0016/stanza.py | E-Tahta/sleekxmpp | ed067c9412835c5fe44bf203936262bcec09ced4 | [
"BSD-3-Clause"
] | 209 | 2015-01-07T16:23:16.000Z | 2022-01-26T13:02:20.000Z | from sleekxmpp.xmlstream import ET, ElementBase, register_stanza_plugin
class Privacy(ElementBase):
name = 'query'
namespace = 'jabber:iq:privacy'
plugin_attrib = 'privacy'
interfaces = set()
def add_list(self, name):
priv_list = List()
priv_list['name'] = name
self.append... | 29.798077 | 75 | 0.604066 | 365 | 3,099 | 4.942466 | 0.191781 | 0.077605 | 0.054324 | 0.066519 | 0.394678 | 0.394678 | 0.374723 | 0.345898 | 0.345898 | 0.303769 | 0 | 0 | 0.272991 | 3,099 | 103 | 76 | 30.087379 | 0.80071 | 0 | 0 | 0.3 | 0 | 0 | 0.14424 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.0125 | 0 | 0.5625 | 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 |
3f9c42423bc9e3d142121f2c8300875bf61816ee | 5,698 | py | Python | modules/dashboard/messages.py | CSavvy/coursebuilder | 3025e0278a95de89c1bc7f1628f3b2b877998479 | [
"Apache-2.0",
"MIT"
] | null | null | null | modules/dashboard/messages.py | CSavvy/coursebuilder | 3025e0278a95de89c1bc7f1628f3b2b877998479 | [
"Apache-2.0",
"MIT"
] | null | null | null | modules/dashboard/messages.py | CSavvy/coursebuilder | 3025e0278a95de89c1bc7f1628f3b2b877998479 | [
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright 2013 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 39.027397 | 80 | 0.777466 | 795 | 5,698 | 5.430189 | 0.342138 | 0.078758 | 0.111188 | 0.154042 | 0.307853 | 0.2511 | 0.227241 | 0.227241 | 0.218902 | 0.177438 | 0 | 0.001608 | 0.126887 | 5,698 | 145 | 81 | 39.296552 | 0.866131 | 0.105827 | 0 | 0.18 | 0 | 0 | 0.61237 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.01 | false | 0 | 0.03 | 0 | 0.05 | 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 |
3fad00ab97f7e5c1e71a9d49397dde7878fe0deb | 1,007 | py | Python | analysis/inlining_overrides.py | fyquah95/fyp-worker-dispatcher | 1ebf764e41202d18ccd1013ec2270caa6c44565a | [
"RSA-MD",
"CECILL-B"
] | null | null | null | analysis/inlining_overrides.py | fyquah95/fyp-worker-dispatcher | 1ebf764e41202d18ccd1013ec2270caa6c44565a | [
"RSA-MD",
"CECILL-B"
] | null | null | null | analysis/inlining_overrides.py | fyquah95/fyp-worker-dispatcher | 1ebf764e41202d18ccd1013ec2270caa6c44565a | [
"RSA-MD",
"CECILL-B"
] | null | null | null | """
Translates decisions that can be generated as an override
"""
import sexpdata
import constants
import inlining_tree
def trace_item_from_path(component):
print(component)
if component[0] == "function":
return [ "Apply", sexp_of_apply(component[1], component[1]) ]
elif component[0] == "declara... | 26.5 | 87 | 0.66137 | 131 | 1,007 | 4.870229 | 0.427481 | 0.037618 | 0.040752 | 0.053292 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013889 | 0.213505 | 1,007 | 37 | 88 | 27.216216 | 0.791667 | 0.056604 | 0 | 0.16 | 1 | 0 | 0.055202 | 0 | 0 | 0 | 0 | 0 | 0.16 | 1 | 0.08 | false | 0 | 0.12 | 0 | 0.32 | 0.04 | 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 |
3fb1111f08f7f72b7e75add5dbc13c1c981c407f | 3,280 | py | Python | mozurestsdk/commerce/settings/locationusage.py | Mozu/mozu-python-sdk | 9cc918aca7db3639264184e5266e8e508a08a7dd | [
"Apache-2.0"
] | 1 | 2021-03-22T12:38:42.000Z | 2021-03-22T12:38:42.000Z | mozurestsdk/commerce/settings/locationusage.py | Mozu/mozu-python-sdk | 9cc918aca7db3639264184e5266e8e508a08a7dd | [
"Apache-2.0"
] | null | null | null | mozurestsdk/commerce/settings/locationusage.py | Mozu/mozu-python-sdk | 9cc918aca7db3639264184e5266e8e508a08a7dd | [
"Apache-2.0"
] | 2 | 2015-09-30T19:49:00.000Z | 2015-09-30T19:51:03.000Z |
"""
This code was generated by Codezu.
Changes to this file may cause incorrect behavior and will be lost if
the code is regenerated.
"""
from mozurestsdk.mozuclient import default as default_client
from mozurestsdk.mozuurl import MozuUrl;
from mozurestsdk.urllocation import UrlLocation
from mozure... | 36.043956 | 476 | 0.726524 | 382 | 3,280 | 6.222513 | 0.314136 | 0.037863 | 0.028607 | 0.026504 | 0.548591 | 0.53639 | 0.524611 | 0.524611 | 0.474127 | 0.400926 | 0 | 0 | 0.185976 | 3,280 | 91 | 477 | 36.043956 | 0.890262 | 0.496037 | 0 | 0.357143 | 1 | 0 | 0.182113 | 0.143876 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.428571 | 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 |
3fb207c8478a626b499d8e8c0cc4f04eb4301f8b | 346 | py | Python | Python_Examples/classes-and-objects.py | hackersatcambridge/workshop-intro-to-programming | 2c044cbada6bf6f3453c2720a3d7a5f42a7d4d21 | [
"MIT"
] | 1 | 2021-11-23T23:12:35.000Z | 2021-11-23T23:12:35.000Z | Python_Examples/classes-and-objects.py | hackersatcambridge/workshop-intro-to-programming | 2c044cbada6bf6f3453c2720a3d7a5f42a7d4d21 | [
"MIT"
] | 2 | 2018-10-30T22:17:58.000Z | 2018-10-30T22:20:57.000Z | Python_Examples/classes-and-objects.py | hackersatcambridge/workshop-intro-to-programming | 2c044cbada6bf6f3453c2720a3d7a5f42a7d4d21 | [
"MIT"
] | null | null | null | class Student:
def __init__(self, name, age, catchPhrase):
self.name = name
self.age = age
self.catchPhrase = catchPhrase
def speak(self):
print("Hi I am " + self.name + " and I am " + str(self.age) + " years old, " + self.catchPhrase)
student = Student("Rick", 60, "Wubba lubba ... | 34.6 | 104 | 0.606936 | 46 | 346 | 4.478261 | 0.478261 | 0.116505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007752 | 0.254335 | 346 | 10 | 105 | 34.6 | 0.790698 | 0 | 0 | 0 | 0 | 0 | 0.15562 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0 | 0 | 0.333333 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
3fb3cf9576486c141d5e234fd68ad1cf4cc3fe55 | 274 | py | Python | Training/config.py | asagar60/TableNet-pytorch | cd6431a1dd091da1c0e590df8b919b12405f2cf0 | [
"MIT"
] | 14 | 2021-08-06T06:21:03.000Z | 2022-03-28T21:35:02.000Z | Training/config.py | asagar60/TableNet-pytorch | cd6431a1dd091da1c0e590df8b919b12405f2cf0 | [
"MIT"
] | 3 | 2021-10-19T13:31:19.000Z | 2022-02-22T04:16:22.000Z | Training/config.py | asagar60/TableNet-pytorch | cd6431a1dd091da1c0e590df8b919b12405f2cf0 | [
"MIT"
] | 8 | 2021-08-19T12:21:20.000Z | 2022-03-01T10:55:42.000Z | import torch
SEED = 0
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
LEARNING_RATE = 0.0001
EPOCHS = 100
BATCH_SIZE = 2
WEIGHT_DECAY = 3e-4
DATAPATH = 'F:/Deep Learning/appliedai_submissions/Self Case Study/Case Study 2/processed_data_v2.csv' | 30.444444 | 102 | 0.748175 | 44 | 274 | 4.5 | 0.795455 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059829 | 0.145985 | 274 | 9 | 102 | 30.444444 | 0.786325 | 0 | 0 | 0 | 0 | 0 | 0.359551 | 0.217228 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 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 |
3fb9c2d3d874343b34835c84252c2bfd42554088 | 172 | py | Python | Xian/week 9/23.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | Xian/week 9/23.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | Xian/week 9/23.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | m, n = map(int, input().split())
for i in range(m):
val = [x for x in range((i*n)+1, ((i+1)*n)+1)]
if i % 2 == 1:
val = reversed(val)
print(*val)
| 19.111111 | 50 | 0.459302 | 33 | 172 | 2.393939 | 0.515152 | 0.177215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042017 | 0.30814 | 172 | 8 | 51 | 21.5 | 0.621849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 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 |
3fbd3211c450643610be8d3c43f7f45124d8aad5 | 288 | py | Python | examples/20_intel-backlight.py | zentropi/python-zentropi | 96cf714b1e0eeb7ee887298eca0f1c92e8b6958e | [
"BSD-3-Clause"
] | 14 | 2017-04-21T05:47:02.000Z | 2018-10-23T21:28:19.000Z | examples/20_intel-backlight.py | zentropi/python-zentropi | 96cf714b1e0eeb7ee887298eca0f1c92e8b6958e | [
"BSD-3-Clause"
] | 22 | 2017-04-11T23:35:16.000Z | 2017-05-20T04:32:44.000Z | examples/20_intel-backlight.py | zentropi/python-zentropi | 96cf714b1e0eeb7ee887298eca0f1c92e8b6958e | [
"BSD-3-Clause"
] | 5 | 2017-04-05T23:21:05.000Z | 2017-10-29T15:28:05.000Z | import subprocess
from zentropi import Agent
a = Agent('intel-backlight')
@a.on_event('intel-backlight')
async def backlight(frame):
value = frame.data.get("value")
subprocess.run(['intel_backlight', str(value)])
a.run(
'ws://localhost:26514/',
token='test-token',
)
| 16.941176 | 51 | 0.680556 | 38 | 288 | 5.105263 | 0.605263 | 0.216495 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020408 | 0.149306 | 288 | 16 | 52 | 18 | 0.771429 | 0 | 0 | 0 | 0 | 0 | 0.28125 | 0.072917 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 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 |
3fbf86d787f4bfe4ed800497c0a800c9cac81fd8 | 2,608 | py | Python | sjsclient/tests/functional/base.py | spark-jobserver/python-sjsclient | 777bcf28f1da42ac48fa6617a91fd4c8f0b98397 | [
"Apache-2.0"
] | 42 | 2015-12-15T07:46:31.000Z | 2021-04-16T20:18:27.000Z | sjsclient/tests/functional/base.py | spark-jobserver/python-sjsclient | 777bcf28f1da42ac48fa6617a91fd4c8f0b98397 | [
"Apache-2.0"
] | 39 | 2015-11-23T10:17:19.000Z | 2020-02-18T14:07:23.000Z | sjsclient/tests/functional/base.py | spark-jobserver/python-sjsclient | 777bcf28f1da42ac48fa6617a91fd4c8f0b98397 | [
"Apache-2.0"
] | 10 | 2015-12-19T02:01:00.000Z | 2019-05-30T20:13:53.000Z | # -*- coding: utf-8 -*-
import os
import time
import requests
import testtools
from sjsclient import client
from sjsclient import exceptions
test_ctx = os.getenv("TESTSJS_SPARK_TEST_CTX")
test_py_ctx = "{}_py".format(test_ctx)
test_java_ctx = "{}_java".format(test_ctx)
class TestFunctionalSJS(testtools.TestCase):... | 29.303371 | 71 | 0.691718 | 324 | 2,608 | 5.25 | 0.246914 | 0.089947 | 0.061728 | 0.081129 | 0.223398 | 0.101705 | 0.07231 | 0 | 0 | 0 | 0 | 0.002908 | 0.208972 | 2,608 | 88 | 72 | 29.636364 | 0.821619 | 0.008052 | 0 | 0.119403 | 0 | 0 | 0.123791 | 0.111025 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134328 | false | 0.059701 | 0.089552 | 0.044776 | 0.313433 | 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 |
3fc0f7599aae2167e025c6c3e7b02dc70586df5b | 918 | py | Python | tests/test_language.py | waiteperspectives/Morelia | e6e6180d688c6bdf538f6b43a97755c76329646a | [
"MIT"
] | 17 | 2015-11-18T02:49:47.000Z | 2019-12-22T08:46:26.000Z | tests/test_language.py | waiteperspectives/Morelia | e6e6180d688c6bdf538f6b43a97755c76329646a | [
"MIT"
] | 230 | 2015-04-28T16:48:20.000Z | 2022-03-25T13:01:07.000Z | tests/test_language.py | waiteperspectives/Morelia | e6e6180d688c6bdf538f6b43a97755c76329646a | [
"MIT"
] | 8 | 2015-04-16T07:45:35.000Z | 2019-06-20T17:09:49.000Z | from unittest import TestCase
from morelia import verify
class LanguageTest(TestCase):
def setUp(self):
self.executed = []
def test_supports_languages_other_than_english(self):
source = """# language: pl
Właściwość: obsługa języków obcych
Scenariusz: Dopasowuje kroki... | 27.818182 | 66 | 0.639434 | 97 | 918 | 5.917526 | 0.556701 | 0.10453 | 0.094077 | 0.111498 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.279956 | 918 | 32 | 67 | 28.6875 | 0.868381 | 0.072985 | 0 | 0 | 0 | 0 | 0.389978 | 0 | 0 | 0 | 0 | 0 | 0.041667 | 1 | 0.208333 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
3fc164a9b9bbd6a28010cf3f1bbdf03d4d74a044 | 3,079 | py | Python | src/xlsxgenerator.py | Darshan-Ramesh/EmpRecognition | c85775659bcbb79f62de29a7a764cc72f1de0674 | [
"MIT"
] | null | null | null | src/xlsxgenerator.py | Darshan-Ramesh/EmpRecognition | c85775659bcbb79f62de29a7a764cc72f1de0674 | [
"MIT"
] | null | null | null | src/xlsxgenerator.py | Darshan-Ramesh/EmpRecognition | c85775659bcbb79f62de29a7a764cc72f1de0674 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import os
import glob as glob
import csv, json
class XlsxGenerator():
"""
A class to generate excel file containing the emperor names and the image name read from a folder
Attributes
----------
rootfolder_path : str
Parent folder path
ima... | 32.410526 | 139 | 0.598246 | 391 | 3,079 | 4.575448 | 0.355499 | 0.054779 | 0.022359 | 0.011738 | 0.050307 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00866 | 0.287431 | 3,079 | 95 | 140 | 32.410526 | 0.806746 | 0.280611 | 0 | 0 | 1 | 0 | 0.105727 | 0.015174 | 0.020833 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.104167 | 0 | 0.229167 | 0.104167 | 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 |
3fc59ffb3c36cd0c8969b890b6a444d726fd4cdf | 1,237 | py | Python | peak_memory/peak_memory_mac.py | wkkxixi/rivuletpy | 4d99a021925c110dbb7716848dcad2ecf466df77 | [
"BSD-3-Clause"
] | 1 | 2018-05-03T07:05:52.000Z | 2018-05-03T07:05:52.000Z | peak_memory/peak_memory_mac.py | wkkxixi/MEIT | 4d99a021925c110dbb7716848dcad2ecf466df77 | [
"BSD-3-Clause"
] | 3 | 2018-06-13T04:29:00.000Z | 2018-06-13T06:59:41.000Z | peak_memory/peak_memory_mac.py | wkkxixi/MEIT | 4d99a021925c110dbb7716848dcad2ecf466df77 | [
"BSD-3-Clause"
] | null | null | null | '''
You need to generate the output file by running:
top -l 0 -pid [process id] -stats pid,mem > [outputfile.txt]
'''
import argparse
parser = argparse.ArgumentParser(description='Run to find peak memory.')
parser.add_argument(
'-f',
'--file',
type=str,
default=None,
required... | 27.488889 | 72 | 0.544058 | 147 | 1,237 | 4.503401 | 0.469388 | 0.045317 | 0.05136 | 0.054381 | 0.1571 | 0.07855 | 0.07855 | 0.07855 | 0 | 0 | 0 | 0.013095 | 0.320938 | 1,237 | 44 | 73 | 28.113636 | 0.775 | 0.090542 | 0 | 0.176471 | 1 | 0 | 0.151434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.029412 | 0 | 0.029412 | 0.058824 | 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 |
3fc5b0b8cef459c0ec080fef6cd9544db7048fa9 | 3,776 | py | Python | testing/scripts/test_alibi_detect_server.py | ryoyop/seldon-core | 83717e88717a4030d7f76f87c3a3b713cd73d276 | [
"Apache-2.0"
] | null | null | null | testing/scripts/test_alibi_detect_server.py | ryoyop/seldon-core | 83717e88717a4030d7f76f87c3a3b713cd73d276 | [
"Apache-2.0"
] | 60 | 2021-06-18T03:25:51.000Z | 2022-03-28T04:07:46.000Z | testing/scripts/test_alibi_detect_server.py | ryoyop/seldon-core | 83717e88717a4030d7f76f87c3a3b713cd73d276 | [
"Apache-2.0"
] | null | null | null | import json
import logging
import time
import uuid
from subprocess import run
import pytest
import requests
from tenacity import RetryError, Retrying, stop_after_attempt, wait_fixed
from seldon_core.batch_processor import start_multithreaded_batch_worker
from seldon_e2e_utils import (
API_ISTIO_GATEWAY,
creat... | 30.451613 | 87 | 0.576271 | 455 | 3,776 | 4.624176 | 0.23956 | 0.053232 | 0.062738 | 0.028517 | 0.730989 | 0.709125 | 0.674905 | 0.63403 | 0.591255 | 0.591255 | 0 | 0.022451 | 0.280456 | 3,776 | 123 | 88 | 30.699187 | 0.751932 | 0 | 0 | 0.57732 | 0 | 0 | 0.24947 | 0.066737 | 0 | 0 | 0 | 0 | 0.164948 | 1 | 0.020619 | false | 0 | 0.103093 | 0 | 0.164948 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 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 |
3fcd6fb9f0fede88546246689b9f9b98f056dee6 | 4,225 | py | Python | lib/muchos/config/decorators.py | ata18/fluo-muchos | ee7c767b6fa4c0f714fedf8c5326fb2508f21953 | [
"Apache-2.0"
] | null | null | null | lib/muchos/config/decorators.py | ata18/fluo-muchos | ee7c767b6fa4c0f714fedf8c5326fb2508f21953 | [
"Apache-2.0"
] | null | null | null | lib/muchos/config/decorators.py | ata18/fluo-muchos | ee7c767b6fa4c0f714fedf8c5326fb2508f21953 | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 34.631148 | 101 | 0.668402 | 542 | 4,225 | 4.98893 | 0.302583 | 0.025888 | 0.024038 | 0.018861 | 0.201923 | 0.117234 | 0.117234 | 0.065089 | 0.036982 | 0.036982 | 0 | 0.00282 | 0.244497 | 4,225 | 121 | 102 | 34.917355 | 0.844298 | 0.293491 | 0 | 0.2125 | 0 | 0 | 0.046653 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2125 | false | 0 | 0.0375 | 0.0625 | 0.5 | 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 |
3fd3bf23a6212aed80ecd1b230b45131779df5ed | 1,058 | py | Python | lib/pom/Home.py | ihayasaka/snap_scraper | e770a49a3795af647e719cd7b0a0c3c3b7337ed3 | [
"MIT"
] | null | null | null | lib/pom/Home.py | ihayasaka/snap_scraper | e770a49a3795af647e719cd7b0a0c3c3b7337ed3 | [
"MIT"
] | null | null | null | lib/pom/Home.py | ihayasaka/snap_scraper | e770a49a3795af647e719cd7b0a0c3c3b7337ed3 | [
"MIT"
] | null | null | null | from lib.util.Logger import get_module_logger
class Home:
def __init__(self, driver):
self.driver = driver
self.logger = get_module_logger(__name__)
def get_top_area_wrap(self):
return self.driver.find_element_by_id('top_area_wrap')
def get_city_list(self):
return self.g... | 30.228571 | 106 | 0.654064 | 151 | 1,058 | 4.245033 | 0.311258 | 0.093604 | 0.068643 | 0.043682 | 0.071763 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002445 | 0.226843 | 1,058 | 34 | 107 | 31.117647 | 0.781174 | 0 | 0 | 0 | 0 | 0.04 | 0.092628 | 0.05104 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.08 | 0.08 | 0.56 | 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 |
3fd5a82a8f1cbd8e0298cb3bada2810e660f4edd | 31,331 | py | Python | pyleecan/Classes/OutLoss.py | Eomys/Pyleecan | 4d7f0cbabf0311006963e7a2f435db2ecd901118 | [
"Apache-2.0"
] | 4 | 2017-11-27T10:14:34.000Z | 2018-09-20T11:30:32.000Z | pyleecan/Classes/OutLoss.py | Eomys/Pyleecan | 4d7f0cbabf0311006963e7a2f435db2ecd901118 | [
"Apache-2.0"
] | null | null | null | pyleecan/Classes/OutLoss.py | Eomys/Pyleecan | 4d7f0cbabf0311006963e7a2f435db2ecd901118 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Output/OutLoss.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Output/OutLoss
"""
from os import linesep
from sys import getsizeof
fro... | 35.362302 | 106 | 0.514123 | 3,462 | 31,331 | 4.403813 | 0.07539 | 0.039683 | 0.021251 | 0.022432 | 0.440837 | 0.356684 | 0.275285 | 0.208973 | 0.182999 | 0.144235 | 0 | 0.001271 | 0.397338 | 31,331 | 885 | 107 | 35.40226 | 0.806165 | 0.08723 | 0 | 0.322537 | 1 | 0 | 0.089297 | 0.002481 | 0 | 0 | 0 | 0 | 0.00135 | 1 | 0.040486 | false | 0.010796 | 0.052632 | 0 | 0.153846 | 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 |
3fd885c2a718ce29c793357490bedb9352c60c29 | 909 | py | Python | tests/functions/test_logsumexp.py | nlp-greyfoss/metagrad | 0f32f177ced1478f0c75ad37bace9a9fc4044ba3 | [
"MIT"
] | 7 | 2022-01-27T05:38:02.000Z | 2022-03-30T01:48:00.000Z | tests/functions/test_logsumexp.py | nlp-greyfoss/metagrad | 0f32f177ced1478f0c75ad37bace9a9fc4044ba3 | [
"MIT"
] | null | null | null | tests/functions/test_logsumexp.py | nlp-greyfoss/metagrad | 0f32f177ced1478f0c75ad37bace9a9fc4044ba3 | [
"MIT"
] | 2 | 2022-02-22T07:47:02.000Z | 2022-03-22T08:31:59.000Z | import numpy as np
import torch
import metagrad.functions as F
from metagrad.tensor import Tensor
def test_simple_logsumexp():
x = np.array([0, 1, 2], np.float32)
mx = Tensor(x, requires_grad=True)
y = F.logsumexp(mx)
tx = torch.tensor(x, requires_grad=True)
ty = torch.logsumexp(tx, -1)
as... | 21.139535 | 74 | 0.645765 | 148 | 909 | 3.905405 | 0.324324 | 0.020761 | 0.103806 | 0.131488 | 0.633218 | 0.633218 | 0.633218 | 0.633218 | 0.633218 | 0.633218 | 0 | 0.027624 | 0.20352 | 909 | 42 | 75 | 21.642857 | 0.770718 | 0.007701 | 0 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.230769 | 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 |
3fdadd0d9710dd9a2d9b2fdd4faa2d4d4d85c133 | 2,835 | py | Python | ansible_bender/builders/base.py | gordonmessmer/ansible-bender | ba7eb21432dc9a409aca52bd3c24c32186d96a02 | [
"MIT"
] | 513 | 2019-03-20T11:49:27.000Z | 2022-03-21T18:14:17.000Z | ansible_bender/builders/base.py | gordonmessmer/ansible-bender | ba7eb21432dc9a409aca52bd3c24c32186d96a02 | [
"MIT"
] | 167 | 2019-03-27T12:23:01.000Z | 2022-03-29T08:42:16.000Z | ansible_bender/builders/base.py | gordonmessmer/ansible-bender | ba7eb21432dc9a409aca52bd3c24c32186d96a02 | [
"MIT"
] | 68 | 2019-03-20T20:05:16.000Z | 2022-03-27T15:34:48.000Z | """
Base class for builders
"""
from enum import Enum
class BuildState(Enum):
NEW = "new"
IN_PROGRESS = "in_progress"
DONE = "done"
FAILED = "failed"
class Builder:
ansible_connection = "default-value"
name = "default-value"
def __init__(self, build, debug=False):
"""
:p... | 24.025424 | 80 | 0.554497 | 321 | 2,835 | 4.794393 | 0.358255 | 0.02729 | 0.025341 | 0.025991 | 0.075374 | 0.038986 | 0 | 0 | 0 | 0 | 0 | 0.006431 | 0.341799 | 2,835 | 117 | 81 | 24.230769 | 0.818328 | 0.35485 | 0 | 0 | 0 | 0 | 0.182073 | 0.065126 | 0 | 0 | 0 | 0 | 0 | 1 | 0.35 | false | 0 | 0.025 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
3fe7b8564fc73e38b1977d7b5044556845d90b4a | 4,410 | py | Python | bentoml/utils/__init__.py | kmr0877/BentoML | 6f2435baf89145f29a4007f124fe9329d46b2a6a | [
"Apache-2.0"
] | null | null | null | bentoml/utils/__init__.py | kmr0877/BentoML | 6f2435baf89145f29a4007f124fe9329d46b2a6a | [
"Apache-2.0"
] | null | null | null | bentoml/utils/__init__.py | kmr0877/BentoML | 6f2435baf89145f29a4007f124fe9329d46b2a6a | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Atalaya Tech, Inc.
# 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, ... | 29.597315 | 87 | 0.735374 | 617 | 4,410 | 5.004862 | 0.372771 | 0.01943 | 0.032383 | 0.01943 | 0.107513 | 0.068653 | 0.068653 | 0.068653 | 0.04987 | 0.04987 | 0 | 0.005519 | 0.178231 | 4,410 | 148 | 88 | 29.797297 | 0.846578 | 0.238095 | 0 | 0.197674 | 0 | 0 | 0.058024 | 0.023572 | 0 | 0 | 0 | 0 | 0.011628 | 1 | 0.162791 | false | 0 | 0.186047 | 0 | 0.546512 | 0.011628 | 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 |
3fe935bf93c34d7fcf6dca497f9a6050cf448ec9 | 533 | py | Python | example/layers/feedforward.py | Achazwl/BMTrain | 776c10b21886f12137641c56b12ebf8d601aa9e0 | [
"Apache-2.0"
] | 19 | 2022-03-14T12:30:23.000Z | 2022-03-31T11:52:29.000Z | example/layers/feedforward.py | Achazwl/BMTrain | 776c10b21886f12137641c56b12ebf8d601aa9e0 | [
"Apache-2.0"
] | 1 | 2022-03-24T02:11:32.000Z | 2022-03-24T02:14:17.000Z | example/layers/feedforward.py | Achazwl/BMTrain | 776c10b21886f12137641c56b12ebf8d601aa9e0 | [
"Apache-2.0"
] | 5 | 2022-03-18T02:03:02.000Z | 2022-03-29T13:19:09.000Z | import torch
import bmtrain as bmt
from layers import Linear
class Feedforward(bmt.DistributedModule):
def __init__(self, dim_model : int, dim_ff : int, bias : bool = True, dtype = None) -> None:
super().__init__()
self.w_in = Linear(dim_model, dim_ff, bias = bias, dtype=dtype)
self.w_out ... | 31.352941 | 96 | 0.660413 | 78 | 533 | 4.282051 | 0.423077 | 0.05988 | 0.041916 | 0.107784 | 0.131737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.217636 | 533 | 16 | 97 | 33.3125 | 0.800959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.272727 | 0.090909 | 0.636364 | 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 |
3febc04f7a95293dba751facdab465ea897c28a7 | 1,537 | py | Python | decor.py | Saiyam-Sandhir/colorama2 | 467e6406e471a57601b70557347b1e201f65e27b | [
"Apache-2.0"
] | null | null | null | decor.py | Saiyam-Sandhir/colorama2 | 467e6406e471a57601b70557347b1e201f65e27b | [
"Apache-2.0"
] | null | null | null | decor.py | Saiyam-Sandhir/colorama2 | 467e6406e471a57601b70557347b1e201f65e27b | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) Saiyam Jain 2021. All rights reserved.
Copyrights licensed under the Apache License 2.0.
See the accompanying LICENSE file for terms.
"""
#importing sys module
import sys
#inserting the path of the package Colorama2 of SimpleDBMS in order to make use of modules in it
sys.path.insert(0, "G:... | 39.410256 | 172 | 0.676643 | 200 | 1,537 | 5.18 | 0.45 | 0.034749 | 0.061776 | 0.073359 | 0.198842 | 0.146718 | 0 | 0 | 0 | 0 | 0 | 0.009683 | 0.260898 | 1,537 | 38 | 173 | 40.447368 | 0.902289 | 0.519193 | 0 | 0.153846 | 0 | 0 | 0.073099 | 0.046784 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.307692 | 0.461538 | 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 |
3fec590b1115175c834a19b256bca4e2a6c5228f | 670 | py | Python | tests/test_config.py | cffbots/ewatercycle | 29571aace32fcea8f70948259e33a62c9c834808 | [
"Apache-2.0"
] | 18 | 2021-03-25T08:25:32.000Z | 2022-03-25T09:23:09.000Z | tests/test_config.py | cffbots/ewatercycle | 29571aace32fcea8f70948259e33a62c9c834808 | [
"Apache-2.0"
] | 323 | 2016-08-11T12:13:58.000Z | 2022-03-30T11:29:04.000Z | tests/test_config.py | cffbots/ewatercycle | 29571aace32fcea8f70948259e33a62c9c834808 | [
"Apache-2.0"
] | 4 | 2018-06-27T11:47:23.000Z | 2022-02-02T14:14:13.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for the ewatercycle_parametersetdb module.
"""
from ewatercycle.parametersetdb.config import YamlConfig, fetch
def test_fetch(yaml_config_url):
result = fetch(yaml_config_url)
assert "PEQ_Hupsel.dat" in result
class TestYamlConfig:
def test_constr... | 23.928571 | 73 | 0.701493 | 90 | 670 | 4.966667 | 0.466667 | 0.178971 | 0.174497 | 0.080537 | 0.210291 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001848 | 0.192537 | 670 | 27 | 74 | 24.814815 | 0.824399 | 0.135821 | 0 | 0.153846 | 0 | 0 | 0.070053 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.230769 | false | 0 | 0.076923 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
3fec9423ade622b069f912f50e34a0ab9ed2b6fc | 802 | py | Python | vea/tools/video_show.py | AP-Atul/Video-Editing-Automation | cadf3e66f208737c1a273b958c4654a3d08f4f71 | [
"MIT"
] | 18 | 2020-01-14T08:25:02.000Z | 2021-12-31T02:04:11.000Z | vea/tools/video_show.py | AP-Atul/Video-Editing-Automation | cadf3e66f208737c1a273b958c4654a3d08f4f71 | [
"MIT"
] | null | null | null | vea/tools/video_show.py | AP-Atul/Video-Editing-Automation | cadf3e66f208737c1a273b958c4654a3d08f4f71 | [
"MIT"
] | 1 | 2021-02-06T21:39:15.000Z | 2021-02-06T21:39:15.000Z | from threading import Thread
import cv2
class VideoShow:
# Class that continuously shows a frame using a dedicated thread.
# Since it works in the thread other than the main UI Thread the
# video playback is faster and would be difficult to analyze.
# I haven't used it in the the video editing autom... | 26.733333 | 70 | 0.628429 | 112 | 802 | 4.464286 | 0.580357 | 0.088 | 0.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007055 | 0.293017 | 802 | 29 | 71 | 27.655172 | 0.87478 | 0.370324 | 0 | 0.125 | 0 | 0 | 0.012048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0 | 0.5 | 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 |
3fee4db78bf86af90cd494498eb947fbdcb584e0 | 3,879 | py | Python | generate_snippets.py | stratusjerry/vscode-saltstack | a077c6b93a4b5729e6e1f0e4532a97ca749c8c04 | [
"MIT"
] | 26 | 2018-01-20T22:27:08.000Z | 2021-11-09T07:32:08.000Z | generate_snippets.py | stratusjerry/vscode-saltstack | a077c6b93a4b5729e6e1f0e4532a97ca749c8c04 | [
"MIT"
] | 15 | 2018-11-06T13:03:17.000Z | 2022-03-29T18:52:08.000Z | generate_snippets.py | stratusjerry/vscode-saltstack | a077c6b93a4b5729e6e1f0e4532a97ca749c8c04 | [
"MIT"
] | 8 | 2018-07-25T23:44:39.000Z | 2022-03-29T17:53:43.000Z | '''
generate_snippets uses salt-call equivalent to list existing states and their functions.
Basic autocomplete snippets are then configured for each state.
If the snippet has been further edited, the script will not touch them. Thus,
the resulting workflow is to run generate_snippets on new salt releases to
capture an... | 38.79 | 110 | 0.659964 | 501 | 3,879 | 4.922156 | 0.295409 | 0.047445 | 0.042579 | 0.065288 | 0.211679 | 0.121249 | 0.121249 | 0.121249 | 0.121249 | 0.052311 | 0 | 0.001323 | 0.220418 | 3,879 | 99 | 111 | 39.181818 | 0.814153 | 0.198763 | 0 | 0.149254 | 1 | 0 | 0.127255 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044776 | false | 0 | 0.044776 | 0 | 0.119403 | 0.074627 | 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 |
b2011bbf49cc2c75ee7744b829f3669d32ac577f | 4,439 | py | Python | src/collections.py | khelsabeck/crimtools_22 | 59eeab87651fc185084dd39efae3d515b2a1ff0a | [
"MIT"
] | null | null | null | src/collections.py | khelsabeck/crimtools_22 | 59eeab87651fc185084dd39efae3d515b2a1ff0a | [
"MIT"
] | null | null | null | src/collections.py | khelsabeck/crimtools_22 | 59eeab87651fc185084dd39efae3d515b2a1ff0a | [
"MIT"
] | null | null | null | '''
file convictiondate.py
author Keith Helsabeck
These are the collections (for a D's pending charges and crim record).
NB: a D can be charged more than once with crimes/charges having
identical data. IE: John Doe is charged with two counts of larceny on
the same date from the same incident, or Jane Doe is ch... | 37.618644 | 72 | 0.674927 | 533 | 4,439 | 4.93621 | 0.313321 | 0.050171 | 0.028506 | 0.018244 | 0.171798 | 0.154314 | 0.13607 | 0.068415 | 0.040289 | 0.040289 | 0 | 0 | 0.266276 | 4,439 | 118 | 73 | 37.618644 | 0.807799 | 0.553954 | 0 | 0.093023 | 0 | 0 | 0.041096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.209302 | false | 0 | 0.069767 | 0 | 0.348837 | 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 |
b204ccf9405eeb6df66e3fdba56eb34512a8301f | 459 | py | Python | source/demo-app-config/setup.py | awslabs/real-time-analytics-spark-streaming | 5473763dd209c4ba3b8d4fee48800be5e97a1524 | [
"Apache-2.0"
] | 28 | 2017-05-12T20:27:14.000Z | 2021-10-06T23:26:08.000Z | source/demo-app-config/setup.py | aws-solutions/real-time-analytics-spark-streaming | 5473763dd209c4ba3b8d4fee48800be5e97a1524 | [
"Apache-2.0"
] | 6 | 2019-06-27T20:16:13.000Z | 2020-07-14T19:55:47.000Z | source/demo-app-config/setup.py | awslabs/real-time-analytics-spark-streaming | 5473763dd209c4ba3b8d4fee48800be5e97a1524 | [
"Apache-2.0"
] | 20 | 2017-05-16T00:39:05.000Z | 2021-09-22T14:45:45.000Z | # coding: utf-8
from setuptools import setup, find_packages
setup(
name='demo_app_config',
version='1.1',
description='AWS Solution Helper Custom Resource',
author='AWS Solutions Development',
license='ASL',
zip_safe=False,
packages=['demo_app_config'],
package_dir={'demo_app_config': ... | 21.857143 | 54 | 0.631808 | 53 | 459 | 5.283019 | 0.811321 | 0.075 | 0.139286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02521 | 0.222222 | 459 | 20 | 55 | 22.95 | 0.759104 | 0.028322 | 0 | 0.117647 | 0 | 0 | 0.371622 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.058824 | 0 | 0.058824 | 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 |
b747dbd2c2369a6c24d6475f101c0a4399e0cb76 | 7,636 | py | Python | models.py | apoorvkhurasia/texpredict | abadbb1feca1fc970c1180641aaa00a268bb5692 | [
"BSD-3-Clause"
] | null | null | null | models.py | apoorvkhurasia/texpredict | abadbb1feca1fc970c1180641aaa00a268bb5692 | [
"BSD-3-Clause"
] | null | null | null | models.py | apoorvkhurasia/texpredict | abadbb1feca1fc970c1180641aaa00a268bb5692 | [
"BSD-3-Clause"
] | null | null | null | import os
import shutil
from abc import ABC, abstractmethod
from typing import List
import numpy as np
from PIL.Image import Image
from joblib import dump, load
from sklearn.neighbors import KNeighborsClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.preprocessing import StandardScaler
import f... | 38.565657 | 80 | 0.65021 | 965 | 7,636 | 4.977202 | 0.173057 | 0.036644 | 0.043723 | 0.023319 | 0.688528 | 0.680616 | 0.657298 | 0.657298 | 0.645846 | 0.618572 | 0 | 0.001774 | 0.261917 | 7,636 | 197 | 81 | 38.761421 | 0.850426 | 0.128078 | 0 | 0.632353 | 0 | 0 | 0.06935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.132353 | false | 0.036765 | 0.095588 | 0 | 0.272059 | 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 |
b74d695604091a7715f47dfd2b06c91c90f77198 | 690 | py | Python | feincms/content/file/models.py | duointeractive/feincms | 29b6bc197e854ec69bfb9a4923f029803c8d8f50 | [
"BSD-3-Clause"
] | null | null | null | feincms/content/file/models.py | duointeractive/feincms | 29b6bc197e854ec69bfb9a4923f029803c8d8f50 | [
"BSD-3-Clause"
] | null | null | null | feincms/content/file/models.py | duointeractive/feincms | 29b6bc197e854ec69bfb9a4923f029803c8d8f50 | [
"BSD-3-Clause"
] | 1 | 2020-06-27T11:12:21.000Z | 2020-06-27T11:12:21.000Z | from django.db import models
from django.template.loader import render_to_string
from django.utils.translation import ugettext_lazy as _
class FileContent(models.Model):
# You should probably use `feincms.content.medialibrary.models.MediaFileContent`
# instead.
title = models.CharField(max_length=200)
... | 28.75 | 84 | 0.666667 | 79 | 690 | 5.64557 | 0.632911 | 0.067265 | 0.06278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005576 | 0.22029 | 690 | 23 | 85 | 30 | 0.82342 | 0.126087 | 0 | 0 | 0 | 0 | 0.126878 | 0.041736 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.2 | 0.066667 | 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 |
b74e295807b9ec4999e102ca755e76c69650b41a | 1,043 | py | Python | test/transform/test_numeric.py | marrow/schema | e2b16ec45329a646156388936c2e779ddcd8fa77 | [
"MIT"
] | 3 | 2016-09-03T07:00:50.000Z | 2021-06-19T18:52:56.000Z | test/transform/test_numeric.py | marrow/schema | e2b16ec45329a646156388936c2e779ddcd8fa77 | [
"MIT"
] | 6 | 2015-01-23T19:32:04.000Z | 2019-10-23T15:36:48.000Z | test/transform/test_numeric.py | marrow/schema | e2b16ec45329a646156388936c2e779ddcd8fa77 | [
"MIT"
] | 2 | 2015-11-13T20:02:17.000Z | 2018-01-30T12:01:47.000Z | from marrow.schema.testing import TransformTest
from marrow.schema.transform.type import Integer, integer, Decimal, decimal, Number, number
INTS = ('1', '5', '-27')
FLOTS = ('1.5', '-27.0', '0.0', '-0.0')
INV = ('a', 'fourty two', '0x27')
class TestIntegerNative(TransformTest):
transform = integer.native
valid =... | 24.833333 | 91 | 0.701822 | 148 | 1,043 | 4.945946 | 0.263514 | 0.043716 | 0.054645 | 0.076503 | 0.338798 | 0.338798 | 0.338798 | 0.338798 | 0.275956 | 0.275956 | 0 | 0.018141 | 0.154362 | 1,043 | 41 | 92 | 25.439024 | 0.811791 | 0 | 0 | 0.115385 | 0 | 0 | 0.033557 | 0 | 0 | 0 | 0.003835 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.884615 | 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 |
b75251f5ab84b2fccf3a05c33fc6fef8d63d3806 | 20,890 | py | Python | staticconf/config.py | tzhu-yelp/PyStaticConfiguration | 229733270bc0dc0d9690ba850dbfb470e535c212 | [
"Apache-2.0"
] | 38 | 2015-01-02T00:56:27.000Z | 2021-10-01T03:15:06.000Z | staticconf/config.py | tzhu-yelp/PyStaticConfiguration | 229733270bc0dc0d9690ba850dbfb470e535c212 | [
"Apache-2.0"
] | 40 | 2015-01-20T22:04:01.000Z | 2021-06-29T22:25:34.000Z | staticconf/config.py | tzhu-yelp/PyStaticConfiguration | 229733270bc0dc0d9690ba850dbfb470e535c212 | [
"Apache-2.0"
] | 26 | 2015-02-12T08:09:21.000Z | 2021-08-18T23:02:51.000Z | """
Store configuration in :class:`ConfigNamespace` objects and provide tools
for reloading, and displaying help messages.
Configuration Reloading
-----------------------
Configuration reloading is supported using a :class:`ConfigFacade`, which
composes a :class:`ConfigurationWatcher` and a :class:`ReloadCallbackCha... | 33.264331 | 85 | 0.657061 | 2,536 | 20,890 | 5.256703 | 0.167192 | 0.009602 | 0.008251 | 0.009977 | 0.180257 | 0.134123 | 0.106969 | 0.078239 | 0.049734 | 0.049734 | 0 | 0.000714 | 0.262326 | 20,890 | 627 | 86 | 33.317384 | 0.864374 | 0.411106 | 0 | 0.180887 | 0 | 0 | 0.021551 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.238908 | false | 0.006826 | 0.027304 | 0.05802 | 0.453925 | 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 |
b7558283d74e67a02aeb0d868a11b9c9003be14d | 390 | py | Python | src-django/api/migrations/0020_remove_element_numeric.py | protocolbuilder/sana.protocol_builder | e84e90202d604617899f0c4e7b34a93755d13171 | [
"BSD-3-Clause"
] | 6 | 2015-06-05T22:41:10.000Z | 2017-09-06T07:08:09.000Z | src-django/api/migrations/0020_remove_element_numeric.py | protocolbuilder/sana.protocol_builder | e84e90202d604617899f0c4e7b34a93755d13171 | [
"BSD-3-Clause"
] | 406 | 2015-01-11T05:50:07.000Z | 2018-01-05T23:01:04.000Z | src-django/api/migrations/0020_remove_element_numeric.py | m-socha/sana.protocol_builder | 7b054bbab5ed981bd7bbc357e9657024f3e380e7 | [
"BSD-3-Clause"
] | 9 | 2015-10-12T23:39:31.000Z | 2018-07-11T20:59:32.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.3 on 2016-03-08 05:27
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0019_auto_20160308_0349'),
]
operations = [
migrations.RemoveField(
... | 19.5 | 47 | 0.610256 | 43 | 390 | 5.325581 | 0.837209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112676 | 0.271795 | 390 | 19 | 48 | 20.526316 | 0.693662 | 0.171795 | 0 | 0 | 1 | 0 | 0.125 | 0.071875 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.416667 | 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 |
b755f7087dc7bfe58e8f8041d0d72e4fd27e05b4 | 353 | py | Python | Chapter 08 - Reading and Writing Files/shelveDemo.py | nicolabc/Automate-The-Boring-Stuff | 947235315bcfd26e0fd4dc3d843e11d256cf012c | [
"MIT"
] | null | null | null | Chapter 08 - Reading and Writing Files/shelveDemo.py | nicolabc/Automate-The-Boring-Stuff | 947235315bcfd26e0fd4dc3d843e11d256cf012c | [
"MIT"
] | null | null | null | Chapter 08 - Reading and Writing Files/shelveDemo.py | nicolabc/Automate-The-Boring-Stuff | 947235315bcfd26e0fd4dc3d843e11d256cf012c | [
"MIT"
] | null | null | null | import os,sys,shelve
if __name__ == '__main__':
shelfFile = shelve.open('mydata')
cats = ['Zophie', 'Pooka', 'Simon']
shelfFile['cats'] = cats
shelfFile.close()
shelfFile = shelve.open('mydata')
print(shelfFile['cats'])
print(list(shelfFile.keys()))
print(list(shelfFile.values()))
... | 23.533333 | 39 | 0.626062 | 39 | 353 | 5.461538 | 0.512821 | 0.140845 | 0.178404 | 0.234742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.192635 | 353 | 15 | 40 | 23.533333 | 0.747368 | 0 | 0 | 0.333333 | 0 | 0 | 0.124294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.25 | 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 |
b7565cfd64d43de2cc1d7483222c16308022dcbe | 8,706 | py | Python | src_whole/AHDE_process_data.py | david-yoon/detecting-incongruity | 2e121fdba0da3a6a0c63df0c46a101a789fe7565 | [
"MIT"
] | 36 | 2018-11-25T21:43:10.000Z | 2022-03-13T10:47:50.000Z | src_whole/AHDE_process_data.py | david-yoon/detecting-incongruity | 2e121fdba0da3a6a0c63df0c46a101a789fe7565 | [
"MIT"
] | 1 | 2019-06-16T07:45:47.000Z | 2019-10-14T06:00:29.000Z | src_whole/AHDE_process_data.py | david-yoon/detecting-incongruity | 2e121fdba0da3a6a0c63df0c46a101a789fe7565 | [
"MIT"
] | 5 | 2018-12-09T06:40:19.000Z | 2019-10-17T22:07:58.000Z | # coding: utf-8
"""
what : AHDE data process
"""
import numpy as np
import random
import pickle
from tqdm import tqdm
class ProcessData:
def __init__(self, is_test, params, data_path='../data/', evaluation_file_name=''):
print 'IS_TEST = ' + str(is_test)
self.params = ... | 37.205128 | 130 | 0.546175 | 1,070 | 8,706 | 4.173832 | 0.126168 | 0.044783 | 0.0618 | 0.060905 | 0.355575 | 0.314151 | 0.314151 | 0.277429 | 0.265114 | 0.256382 | 0 | 0.005221 | 0.339995 | 8,706 | 233 | 131 | 37.364807 | 0.772015 | 0.030094 | 0 | 0.169355 | 0 | 0 | 0.042215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.032258 | null | null | 0.080645 | 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 |
b757d00bad1ee94ece255d149ff738aaa23aa9cd | 4,987 | py | Python | designate/backend/base.py | NeCTAR-RC/designate | 99874f5c608954df9c988740e3cbf0d3b6b7a269 | [
"Apache-2.0"
] | 1 | 2015-02-26T03:23:13.000Z | 2015-02-26T03:23:13.000Z | designate/backend/base.py | NeCTAR-RC/designate | 99874f5c608954df9c988740e3cbf0d3b6b7a269 | [
"Apache-2.0"
] | null | null | null | designate/backend/base.py | NeCTAR-RC/designate | 99874f5c608954df9c988740e3cbf0d3b6b7a269 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 Managed I.T.
#
# Author: Kiall Mac Innes <kiall@managedit.ie>
#
# 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 r... | 32.809211 | 79 | 0.637858 | 600 | 4,987 | 5.215 | 0.256667 | 0.063279 | 0.07031 | 0.049856 | 0.418664 | 0.364653 | 0.167466 | 0.153404 | 0.153404 | 0.153404 | 0 | 0.002191 | 0.267897 | 4,987 | 151 | 80 | 33.02649 | 0.854834 | 0.328454 | 0 | 0.328571 | 0 | 0 | 0.08481 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0.028571 | 0.071429 | 0 | 0.428571 | 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 |
b757e835efb724e0ed40f52f1c0508ac66719ebf | 1,814 | py | Python | python/find_kth_element.py | shub0/leetcode | 8221d10f201d001abcb15b27c9cf4b8cd5060f1f | [
"BSD-3-Clause"
] | null | null | null | python/find_kth_element.py | shub0/leetcode | 8221d10f201d001abcb15b27c9cf4b8cd5060f1f | [
"BSD-3-Clause"
] | null | null | null | python/find_kth_element.py | shub0/leetcode | 8221d10f201d001abcb15b27c9cf4b8cd5060f1f | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/python
'''
Find the kth largest element in an unsorted array. Note that it is the kth largest element in the sorted order, not the kth distinct element.
For example,
Given [3,2,1,5,6,4] and k = 2, return 5.
Note:
You may assume k is always valid, 1 <= k <= array's length.
'''
class Solution:
# @para... | 29.258065 | 141 | 0.535832 | 234 | 1,814 | 4.059829 | 0.380342 | 0.105263 | 0.073684 | 0.075789 | 0.118947 | 0.067368 | 0.067368 | 0 | 0 | 0 | 0 | 0.017227 | 0.359978 | 1,814 | 61 | 142 | 29.737705 | 0.801034 | 0.063396 | 0 | 0 | 0 | 0 | 0.043601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.04878 | null | null | 0.04878 | 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 |
b75e997f9de5bc024cde6528f4a957fcd8bb982d | 3,001 | py | Python | fn_proofpoint_trap/setup.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 65 | 2017-12-04T13:58:32.000Z | 2022-03-24T18:33:17.000Z | fn_proofpoint_trap/setup.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 48 | 2018-03-02T19:17:14.000Z | 2022-03-09T22:00:38.000Z | fn_proofpoint_trap/setup.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 95 | 2018-01-11T16:23:39.000Z | 2022-03-21T11:34:29.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
import glob
import ntpath
def get_module_name(module_path):
"""
Return the module name of the module path
"""
return ntpath.split(module_path)[1].split(".")[0]
def snake_to_camel(word):
"""
Convert a wor... | 50.864407 | 156 | 0.717428 | 327 | 3,001 | 6.360856 | 0.449541 | 0.121154 | 0.123077 | 0.075 | 0.124038 | 0.124038 | 0.124038 | 0.043269 | 0 | 0 | 0 | 0.007854 | 0.193935 | 3,001 | 59 | 157 | 50.864407 | 0.852005 | 0.042652 | 0 | 0.06383 | 0 | 0 | 0.671358 | 0.38107 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.06383 | 0 | 0.148936 | 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 |
b763f9bac4dcc696bc6889e448534b66e0dd4412 | 43,075 | py | Python | LoMeshApp.py | LoMesh-ORG/LoMesh-PCUI | c6ab74009e847513080c736e1f86358c329c857a | [
"Apache-2.0"
] | null | null | null | LoMeshApp.py | LoMesh-ORG/LoMesh-PCUI | c6ab74009e847513080c736e1f86358c329c857a | [
"Apache-2.0"
] | 2 | 2020-09-08T03:15:33.000Z | 2020-09-08T03:57:36.000Z | LoMeshApp.py | LoMesh-ORG/LoMesh-PCUI | c6ab74009e847513080c736e1f86358c329c857a | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# GUI module generated by PAGE version 5.2
# in conjunction with Tcl version 8.6
# Dec 11, 2021 09:19:08 PM EST platform: Windows NT
import sys
try:
import Tkinter as tk
except ImportError:
import tkinter as tk
try:
import ttk
py3 = False
except ... | 52.78799 | 96 | 0.701637 | 4,718 | 43,075 | 6.281899 | 0.082238 | 0.044537 | 0.020582 | 0.062622 | 0.51876 | 0.161043 | 0.078008 | 0.035664 | 0.031041 | 0.017275 | 0 | 0.065289 | 0.167591 | 43,075 | 815 | 97 | 52.852761 | 0.761295 | 0.013001 | 0 | 0.038621 | 1 | 0 | 0.079454 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005517 | false | 0 | 0.011034 | 0 | 0.01931 | 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 |
b76a7d6f934bae2062a7e1c9807caddec9b6983a | 446 | py | Python | demo/demo/doctype/conference_room/conference_room.py | SunilBGovind/frappe_demo_dev | df86f151c8ff43db7c0a6c7981e9247893bdc309 | [
"MIT"
] | null | null | null | demo/demo/doctype/conference_room/conference_room.py | SunilBGovind/frappe_demo_dev | df86f151c8ff43db7c0a6c7981e9247893bdc309 | [
"MIT"
] | null | null | null | demo/demo/doctype/conference_room/conference_room.py | SunilBGovind/frappe_demo_dev | df86f151c8ff43db7c0a6c7981e9247893bdc309 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2019, Sunil Govind and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
# import frappe
from frappe.model.document import Document
class ConferenceRoom(Document):
def before_save(self):
self.room_capacity = "Seating Capac... | 34.307692 | 70 | 0.775785 | 59 | 446 | 5.677966 | 0.610169 | 0.179104 | 0.071642 | 0.119403 | 0.340299 | 0.340299 | 0.340299 | 0.340299 | 0.340299 | 0.340299 | 0 | 0.01269 | 0.116592 | 446 | 13 | 71 | 34.307692 | 0.837563 | 0.298206 | 0 | 0.285714 | 0 | 0 | 0.110032 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.285714 | 0 | 0.714286 | 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 |
b76f7be109fff4e835d383477520132632d7f0a9 | 1,384 | py | Python | src/rust/iced-x86-py/src/iced_x86/OpAccess.py | clayne/iced | dcd3db725b1137fec4d2bda9b17587cead49bf4d | [
"MIT"
] | 1,018 | 2018-09-07T20:12:43.000Z | 2021-01-17T18:41:10.000Z | src/rust/iced-x86-py/src/iced_x86/OpAccess.py | clayne/iced | dcd3db725b1137fec4d2bda9b17587cead49bf4d | [
"MIT"
] | 127 | 2018-09-07T19:33:48.000Z | 2021-01-17T22:20:33.000Z | src/rust/iced-x86-py/src/iced_x86/OpAccess.py | clayne/iced | dcd3db725b1137fec4d2bda9b17587cead49bf4d | [
"MIT"
] | 146 | 2018-09-09T12:38:30.000Z | 2021-01-18T23:37:11.000Z | # SPDX-License-Identifier: MIT
# Copyright (C) 2018-present iced project and contributors
# ⚠️This file was generated by GENERATOR!🦹♂️
# pylint: disable=invalid-name
# pylint: disable=line-too-long
# pylint: disable=too-many-lines
"""
Operand, register and memory access
"""
import typing
if typing.TYPE_CHECKING:
... | 26.615385 | 348 | 0.724711 | 207 | 1,384 | 4.821256 | 0.483092 | 0.08016 | 0.078156 | 0.09018 | 0.118236 | 0.078156 | 0.054108 | 0 | 0 | 0 | 0 | 0.012931 | 0.16185 | 1,384 | 51 | 349 | 27.137255 | 0.842241 | 0.260116 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 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 |
b7704af74073f523cd85e48f6f223d348ea3b917 | 8,739 | py | Python | src/emulator/emulator.py | Nicholas1126/hydra | da6dcc781e30ffe694088078ac206209527e9604 | [
"MIT"
] | 1 | 2020-11-18T16:13:04.000Z | 2020-11-18T16:13:04.000Z | src/emulator/emulator.py | Nicholas1126/hydra | da6dcc781e30ffe694088078ac206209527e9604 | [
"MIT"
] | null | null | null | src/emulator/emulator.py | Nicholas1126/hydra | da6dcc781e30ffe694088078ac206209527e9604 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
import tempfile
import shutil
import errno
import argparse
import subprocess
import copy
import binascii
import hashlib
import common as c
import syscalls
import utils
import checker
def emulate(syscall, argv, ret):
if syscall == "SYS_mkdir":
... | 29.325503 | 85 | 0.560362 | 1,082 | 8,739 | 4.397412 | 0.24122 | 0.052543 | 0.070618 | 0.083228 | 0.147751 | 0.088272 | 0.051702 | 0.025641 | 0.025641 | 0.025641 | 0 | 0.008298 | 0.296716 | 8,739 | 297 | 86 | 29.424242 | 0.765864 | 0.057673 | 0 | 0.165992 | 0 | 0 | 0.107704 | 0.005355 | 0.008097 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.060729 | null | null | 0.08502 | 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 |
b7778c837e913bfc0395f6c7cdce5afecb7536d4 | 1,032 | py | Python | unical_accounts/migrations/0004_auto_20190815_2356.py | omizrahi99/uniAuth | be33d3be10f82e955deffe7ad4b34eeafca4195a | [
"Apache-2.0"
] | null | null | null | unical_accounts/migrations/0004_auto_20190815_2356.py | omizrahi99/uniAuth | be33d3be10f82e955deffe7ad4b34eeafca4195a | [
"Apache-2.0"
] | null | null | null | unical_accounts/migrations/0004_auto_20190815_2356.py | omizrahi99/uniAuth | be33d3be10f82e955deffe7ad4b34eeafca4195a | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.4 on 2019-08-15 23:56
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('unical_accounts', '0003_auto_20190730_1101'),
]
operations = [
migrations.... | 35.586207 | 136 | 0.638566 | 115 | 1,032 | 5.573913 | 0.53913 | 0.037442 | 0.043682 | 0.068643 | 0.190328 | 0.190328 | 0.190328 | 0.190328 | 0.190328 | 0.190328 | 0 | 0.047194 | 0.24031 | 1,032 | 28 | 137 | 36.857143 | 0.770408 | 0.043605 | 0 | 0.090909 | 1 | 0 | 0.156345 | 0.02335 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.136364 | 0 | 0.272727 | 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 |
b7784a4af60cbfce753a9b0fbea504c0beb8c465 | 1,653 | py | Python | gouda/strategies/resize.py | NaturalHistoryMuseum/gouda | d748522dbf80c26f71e3e301ef4883b2f8d1f2a8 | [
"MIT"
] | 23 | 2015-12-09T20:12:10.000Z | 2021-10-01T16:39:36.000Z | gouda/strategies/resize.py | NaturalHistoryMuseum/gouda | d748522dbf80c26f71e3e301ef4883b2f8d1f2a8 | [
"MIT"
] | 27 | 2016-03-01T07:59:41.000Z | 2016-12-21T09:24:03.000Z | gouda/strategies/resize.py | NaturalHistoryMuseum/gouda | d748522dbf80c26f71e3e301ef4883b2f8d1f2a8 | [
"MIT"
] | 3 | 2015-07-22T18:12:17.000Z | 2019-11-29T10:43:57.000Z | import cv2
import numpy as np
from gouda.util import debug_print
def _unsharpmask(img):
img = np.array(img, copy=True)
blur = cv2.GaussianBlur(img, (0, 0), 10)
return cv2.addWeighted(img, 3, blur, -2, 0)
def resize(img, engine, minimum_pixels=10):
# Entire image at different fractions of original ... | 33.734694 | 81 | 0.563218 | 205 | 1,653 | 4.492683 | 0.463415 | 0.084691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033241 | 0.344828 | 1,653 | 48 | 82 | 34.4375 | 0.817175 | 0.201452 | 0 | 0.0625 | 0 | 0 | 0.064024 | 0 | 0 | 0 | 0 | 0.020833 | 0 | 1 | 0.0625 | false | 0 | 0.09375 | 0 | 0.25 | 0.0625 | 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 |
b77d09e3e2ed9cb34d407993e08f87f1467bd705 | 5,039 | py | Python | simple_messaging_api.py | audacious-software/-Simple-Messaging-Django-Twilio | 475fbb04740c126e23bfcc2934b1447627979c05 | [
"Apache-2.0"
] | null | null | null | simple_messaging_api.py | audacious-software/-Simple-Messaging-Django-Twilio | 475fbb04740c126e23bfcc2934b1447627979c05 | [
"Apache-2.0"
] | null | null | null | simple_messaging_api.py | audacious-software/-Simple-Messaging-Django-Twilio | 475fbb04740c126e23bfcc2934b1447627979c05 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=line-too-long, no-member
import importlib
import json
import mimetypes
import time
from io import BytesIO
import requests
from twilio.rest import Client
from django.conf import settings
from django.core import files
from django.http import HttpResponse
from django.utils import timezone
from simp... | 33.370861 | 207 | 0.614011 | 499 | 5,039 | 5.985972 | 0.292585 | 0.060261 | 0.0462 | 0.058252 | 0.283227 | 0.27854 | 0.213257 | 0.213257 | 0.213257 | 0.170405 | 0 | 0.00285 | 0.303632 | 5,039 | 150 | 208 | 33.593333 | 0.84839 | 0.029966 | 0 | 0.257426 | 0 | 0 | 0.063882 | 0.026618 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019802 | false | 0.059406 | 0.178218 | 0 | 0.227723 | 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 |
b77d24ddf79e589843301d01581edfa76af51f6b | 784 | py | Python | logthis.py | hiteshd/Service-Specific-Intrusion-Detection | f7ff7725ca972a13e760f37b7bbcbe67fe507b83 | [
"Apache-2.0"
] | 4 | 2016-07-06T09:57:15.000Z | 2018-02-19T01:37:09.000Z | logthis.py | hiteshd/Service-Specific-Intrusion-Detection | f7ff7725ca972a13e760f37b7bbcbe67fe507b83 | [
"Apache-2.0"
] | null | null | null | logthis.py | hiteshd/Service-Specific-Intrusion-Detection | f7ff7725ca972a13e760f37b7bbcbe67fe507b83 | [
"Apache-2.0"
] | null | null | null | #!/bin/python
import datetime
def detected(pattern,msg):
foo=open("DETECTIONS.LOG","a")
logthis=str(datetime.datetime.today())+" | "+str(pattern)+" | "+str(msg)+"\n"
foo.write(logthis)
foo.close()
def log(coming_from,msg):
foo=open("LOG_IDS_TOTAL.LOG","a")
logthis=str(datetime.datetime.today())+" | "+str(comin... | 28 | 165 | 0.594388 | 103 | 784 | 4.446602 | 0.291262 | 0.061135 | 0.09607 | 0.209607 | 0.606987 | 0.606987 | 0.554585 | 0.495633 | 0.144105 | 0 | 0 | 0 | 0.079082 | 784 | 27 | 166 | 29.037037 | 0.634349 | 0.015306 | 0 | 0.47619 | 0 | 0 | 0.2607 | 0.140078 | 0 | 0 | 0 | 0 | 0 | 1 | 0.190476 | false | 0 | 0.047619 | 0 | 0.238095 | 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 |
b7803fb9a91163197f5755278eaee67b3985926f | 342 | py | Python | Vault/setup.py | vikasmunshi/python-scripts | 146872364c035e5a451af3af826fc3f221c7379e | [
"MIT"
] | null | null | null | Vault/setup.py | vikasmunshi/python-scripts | 146872364c035e5a451af3af826fc3f221c7379e | [
"MIT"
] | null | null | null | Vault/setup.py | vikasmunshi/python-scripts | 146872364c035e5a451af3af826fc3f221c7379e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# vault/setup.py:
#
from setuptools import setup
setup(
name="vault",
version="0.0.1",
author="Vikas Munshi",
author_email="vikas.munshi@gmail.com",
description="secured secrets",
packages=['vault', ],
install_requires=['pycryptodome>=3.6.1'... | 20.117647 | 62 | 0.625731 | 45 | 342 | 4.711111 | 0.777778 | 0.103774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038732 | 0.169591 | 342 | 16 | 63 | 21.375 | 0.707746 | 0.175439 | 0 | 0 | 0 | 0 | 0.350181 | 0.079422 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.1 | 0 | 0.1 | 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 |
b7821186c2f30d5acf69d247bf5ff8d7c5c6cc46 | 22,380 | py | Python | alphabot-ppl/follow_path.py | Dspatharakis/alphabot-ppl | 1f234548bf3fc7d447663f94cfa49591724563b0 | [
"MIT"
] | null | null | null | alphabot-ppl/follow_path.py | Dspatharakis/alphabot-ppl | 1f234548bf3fc7d447663f94cfa49591724563b0 | [
"MIT"
] | null | null | null | alphabot-ppl/follow_path.py | Dspatharakis/alphabot-ppl | 1f234548bf3fc7d447663f94cfa49591724563b0 | [
"MIT"
] | null | null | null | from grid_nav import *
import os
import subprocess
from self_locator import *
from micro_controller import *
import yaml
import math
import json
import time
import signal
import sys
import requests
import numpy as numpy
import csv
CONFIG = yaml.load(open("../config.yaml"))
INITIAL_TIME = time.time()
# Example Diagr... | 42.709924 | 338 | 0.553485 | 3,346 | 22,380 | 3.59205 | 0.138075 | 0.007987 | 0.012979 | 0.032449 | 0.435727 | 0.395291 | 0.361844 | 0.326317 | 0.301939 | 0.282303 | 0 | 0.050303 | 0.246738 | 22,380 | 523 | 339 | 42.791587 | 0.662653 | 0.175112 | 0 | 0.299233 | 0 | 0.002558 | 0.163292 | 0.041866 | 0 | 0 | 0 | 0.001912 | 0 | 0 | null | null | 0 | 0.035806 | null | null | 0.150895 | 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 |
b78fde2e84d08045c47a9849935177e98d1ac7db | 1,509 | py | Python | decisiontrees/utils.py | Nicusor97/DecisionTree | bafe4b90289d598dec1bff60dbbeb8e24c69f293 | [
"MIT"
] | null | null | null | decisiontrees/utils.py | Nicusor97/DecisionTree | bafe4b90289d598dec1bff60dbbeb8e24c69f293 | [
"MIT"
] | null | null | null | decisiontrees/utils.py | Nicusor97/DecisionTree | bafe4b90289d598dec1bff60dbbeb8e24c69f293 | [
"MIT"
] | null | null | null | """Helpers that will be used in the project"""
import csv
def convertTypes(value):
"""Helper to convert the type into float or int.
Args:
value(str): The value that will be converted to float or int.
Returns:
The converted value.
"""
value = value.strip()
try:
r... | 23.952381 | 85 | 0.629556 | 204 | 1,509 | 4.627451 | 0.367647 | 0.029661 | 0.033898 | 0.034958 | 0.120763 | 0.120763 | 0 | 0 | 0 | 0 | 0 | 0.006487 | 0.284957 | 1,509 | 62 | 86 | 24.33871 | 0.868397 | 0 | 0 | 0 | 0 | 0 | 0.002962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.033333 | 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 |
b79bf0d307e1277565d15c63cc29b7efb5871f73 | 2,062 | py | Python | task/tagger/distill/HintDistill.py | ssunqf/nlp-exp | f4ebc77d2f7b85b95a12d2cb47196a950c8a1a1f | [
"Apache-2.0"
] | 4 | 2019-11-07T12:13:53.000Z | 2019-12-16T17:43:57.000Z | task/tagger/distill/HintDistill.py | ssunqf/nlp-exp | f4ebc77d2f7b85b95a12d2cb47196a950c8a1a1f | [
"Apache-2.0"
] | null | null | null | task/tagger/distill/HintDistill.py | ssunqf/nlp-exp | f4ebc77d2f7b85b95a12d2cb47196a950c8a1a1f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
# knowledge distill
# https://github.com/dkozlov/awesome-knowledge-distillation
from typing import List
import torch
import torch.nn as nn
from torch.autograd import Variable
from ..train.model import Tagger
from model.nlp.task.task import Task, Loader, TaskConfig
fro... | 26.101266 | 98 | 0.679922 | 276 | 2,062 | 4.822464 | 0.427536 | 0.030053 | 0.045079 | 0.06311 | 0.037566 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02795 | 0.219205 | 2,062 | 78 | 99 | 26.435897 | 0.798758 | 0.066925 | 0 | 0 | 0 | 0 | 0.022941 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06383 | false | 0 | 0.148936 | 0 | 0.680851 | 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 |
b79c51e10e3ce86c7c468baadcc7e3e700487ab4 | 971 | py | Python | src/injecta/config/ConfigLoader.py | pyfony/injecta | 3262fe53f6d2d7b8dfa372bfa628f1ed02f4479f | [
"MIT"
] | 3 | 2021-09-27T12:55:00.000Z | 2022-01-31T19:13:23.000Z | src/injecta/config/ConfigLoader.py | pyfony/injecta | 3262fe53f6d2d7b8dfa372bfa628f1ed02f4479f | [
"MIT"
] | null | null | null | src/injecta/config/ConfigLoader.py | pyfony/injecta | 3262fe53f6d2d7b8dfa372bfa628f1ed02f4479f | [
"MIT"
] | 1 | 2021-03-04T09:12:05.000Z | 2021-03-04T09:12:05.000Z | import yaml
from pathlib import Path
class TaggedServices(yaml.YAMLObject):
yaml_loader = yaml.SafeLoader
yaml_tag = "!tagged"
def __init__(self, val):
self.val = val
@classmethod
def from_yaml(cls, loader, node):
return cls(node.value)
class TaggedAliasedService(yaml.YAMLObjec... | 24.275 | 68 | 0.652935 | 128 | 971 | 4.710938 | 0.398438 | 0.066335 | 0.059701 | 0.079602 | 0.344942 | 0.344942 | 0.344942 | 0.344942 | 0.344942 | 0.175788 | 0 | 0.004071 | 0.240989 | 971 | 39 | 69 | 24.897436 | 0.814111 | 0 | 0 | 0.222222 | 0 | 0 | 0.046344 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.185185 | false | 0 | 0.074074 | 0.074074 | 0.62963 | 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 |
b79c5c30624a19293fd4e9890fc9d5209ef1703a | 8,082 | py | Python | superbed/superanno.py | menghaowei/bio-playground | c9d79b46750eee5f16e86ee6aa183c02681d86e7 | [
"MIT"
] | 124 | 2015-01-09T16:55:03.000Z | 2022-03-24T16:59:20.000Z | superbed/superanno.py | Nextomics/bio-playground | 35787a489667e2ef2e3309e7fe56308d8709a924 | [
"MIT"
] | 16 | 2016-08-12T05:35:00.000Z | 2021-11-16T03:38:35.000Z | superbed/superanno.py | brentp/bio-playground | 1982a222328bca7b675dedaa3887600a7d3dad74 | [
"MIT"
] | 105 | 2015-01-21T00:45:13.000Z | 2022-03-01T02:05:43.000Z | """
%prog [options] files
"""
import optparse
import os.path as op
import os
import sys
from pybedtools import BedTool
import collections
from toolshed import reader
def simplify_bed(fbed, has_header):
"""
create a bed with no header and 6 columns.
retain strand info.
"""
line_gen = reader(fbed... | 32.457831 | 82 | 0.551844 | 1,115 | 8,082 | 3.918386 | 0.21435 | 0.0103 | 0.018311 | 0.0206 | 0.150378 | 0.123827 | 0.101625 | 0.088808 | 0.041199 | 0 | 0 | 0.007772 | 0.299555 | 8,082 | 248 | 83 | 32.58871 | 0.763999 | 0.050359 | 0 | 0.164021 | 0 | 0 | 0.112663 | 0 | 0 | 0 | 0 | 0.008065 | 0.010582 | 0 | null | null | 0 | 0.042328 | null | null | 0.010582 | 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 |
b79c756ba56213af9c0b39524dfed27de0a3be7c | 333 | py | Python | onlineshopping/myshopping/migrations/0005_remove_userprofile_dob.py | SarahMohamedAbdAlkader/DjangoEcommerceProject | edfe3071e5ee301702ff8e55a513efbb8feadab8 | [
"MIT"
] | 1 | 2021-01-27T03:20:45.000Z | 2021-01-27T03:20:45.000Z | onlineshopping/myshopping/migrations/0005_remove_userprofile_dob.py | SarahMohamedAbdAlkader/DjangoEcommerceProject | edfe3071e5ee301702ff8e55a513efbb8feadab8 | [
"MIT"
] | null | null | null | onlineshopping/myshopping/migrations/0005_remove_userprofile_dob.py | SarahMohamedAbdAlkader/DjangoEcommerceProject | edfe3071e5ee301702ff8e55a513efbb8feadab8 | [
"MIT"
] | 1 | 2020-03-24T21:28:31.000Z | 2020-03-24T21:28:31.000Z | # Generated by Django 3.0.3 on 2020-03-20 16:00
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('myshopping', '0004_auto_20200320_1549'),
]
operations = [
migrations.RemoveField(
model_name='userprofile',
name='DOB',
... | 18.5 | 50 | 0.597598 | 35 | 333 | 5.571429 | 0.828571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131356 | 0.291291 | 333 | 17 | 51 | 19.588235 | 0.694915 | 0.135135 | 0 | 0 | 1 | 0 | 0.164336 | 0.08042 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.363636 | 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 |
b7a12645d8e3229ad897d9358d24ad8870c4b5a8 | 2,520 | py | Python | Protocols/migrations/0001_initial.py | jackyjingyi/dapsa | 40036143e593b875522c666700c9c6322b38c498 | [
"MIT"
] | 3 | 2019-06-17T11:39:14.000Z | 2019-07-02T08:45:09.000Z | Protocols/migrations/0001_initial.py | jackyjingyi/dapsa | 40036143e593b875522c666700c9c6322b38c498 | [
"MIT"
] | null | null | null | Protocols/migrations/0001_initial.py | jackyjingyi/dapsa | 40036143e593b875522c666700c9c6322b38c498 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-06-14 15:59
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Protocol',
fields=[
... | 50.4 | 151 | 0.618254 | 259 | 2,520 | 5.830116 | 0.34749 | 0.101987 | 0.029139 | 0.037748 | 0.135099 | 0.104636 | 0.104636 | 0.104636 | 0.104636 | 0.104636 | 0 | 0.017745 | 0.239683 | 2,520 | 49 | 152 | 51.428571 | 0.770355 | 0.017857 | 0 | 0.261905 | 1 | 0 | 0.190861 | 0.011727 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047619 | 0 | 0.142857 | 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 |
b7ae214f9e410f8ad0aa45c4d7fbb15d6e413536 | 317 | py | Python | experiments/nmt/test/diff.py | ihsgnef/GroundHog | 8aa8fefead5b8dc93546df8666f2b83293760294 | [
"BSD-3-Clause"
] | 565 | 2015-01-01T05:44:48.000Z | 2022-03-18T18:24:36.000Z | experiments/nmt/test/diff.py | janchorowski/GroundHog | 68d01c90becbf31a487be18985defb0c95f2b522 | [
"BSD-3-Clause"
] | 32 | 2015-01-29T18:36:10.000Z | 2018-02-27T10:37:04.000Z | experiments/nmt/test/diff.py | janchorowski/GroundHog | 68d01c90becbf31a487be18985defb0c95f2b522 | [
"BSD-3-Clause"
] | 265 | 2015-01-02T05:49:40.000Z | 2021-12-24T06:21:26.000Z | #!/usr/bin/env python
import sys
f1 = open(sys.argv[1])
f2 = open(sys.argv[2])
res = 0
for l1, l2 in zip(f1, f2):
v1 = float(l1.strip())
v2 = float(l2.strip())
rel_diff = abs(v1 - v2) / abs(v1)
if rel_diff > 10 ** -4:
print "Difference: {} vs {}".format(v1, v2)
res = 1
sys.exit(res)
| 21.133333 | 51 | 0.548896 | 56 | 317 | 3.071429 | 0.607143 | 0.081395 | 0.127907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09322 | 0.255521 | 317 | 14 | 52 | 22.642857 | 0.635593 | 0.063091 | 0 | 0 | 0 | 0 | 0.067568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.083333 | 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 |
b7b8b0b26a89640a38dbe24f32aa48dd5ad35f67 | 735 | py | Python | assistant/shopify_sync/migrations/0008_auto_20200910_0449.py | kapiak/ware_prod | ae61256890834c434d2e38cc2ccacf00b638665a | [
"MIT"
] | null | null | null | assistant/shopify_sync/migrations/0008_auto_20200910_0449.py | kapiak/ware_prod | ae61256890834c434d2e38cc2ccacf00b638665a | [
"MIT"
] | null | null | null | assistant/shopify_sync/migrations/0008_auto_20200910_0449.py | kapiak/ware_prod | ae61256890834c434d2e38cc2ccacf00b638665a | [
"MIT"
] | null | null | null | # Generated by Django 3.1 on 2020-09-10 04:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shopify_sync', '0007_eventstore'),
]
operations = [
migrations.AddField(
model_name='eventstore',
name='error_data',
... | 30.625 | 205 | 0.601361 | 75 | 735 | 5.786667 | 0.626667 | 0.082949 | 0.105991 | 0.124424 | 0.18894 | 0.18894 | 0 | 0 | 0 | 0 | 0 | 0.036166 | 0.247619 | 735 | 23 | 206 | 31.956522 | 0.748644 | 0.058503 | 0 | 0.352941 | 1 | 0 | 0.215942 | 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 |
b7bd9bb928f40d15db74b2cc701c34cc1eb0643a | 9,854 | py | Python | hfcuda/argparser.py | IBM/hf | 5245b5e879e1f6a2c17759e0cd3477c6eda945e5 | [
"Apache-2.0"
] | 1 | 2021-11-01T12:54:28.000Z | 2021-11-01T12:54:28.000Z | hfcuda/argparser.py | IBM/hf | 5245b5e879e1f6a2c17759e0cd3477c6eda945e5 | [
"Apache-2.0"
] | null | null | null | hfcuda/argparser.py | IBM/hf | 5245b5e879e1f6a2c17759e0cd3477c6eda945e5 | [
"Apache-2.0"
] | 4 | 2020-06-29T15:20:15.000Z | 2022-01-20T18:52:51.000Z | # ======================================
# IBM Corporation (C) 2018
# Nelson Mimura Gonzalez
# nmimura@us.ibm.com
# ======================================
# ------------------------------------------------------------------------------
# Argument parser for Python.
# ---------------------------------------------------... | 35.574007 | 80 | 0.392328 | 819 | 9,854 | 4.678877 | 0.161172 | 0.049322 | 0.076722 | 0.031315 | 0.382046 | 0.335595 | 0.318894 | 0.277923 | 0.207985 | 0.186848 | 0 | 0.003349 | 0.333266 | 9,854 | 276 | 81 | 35.702899 | 0.579909 | 0.280597 | 0 | 0.40113 | 0 | 0 | 0.068583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.00565 | null | null | 0.084746 | 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 |
b7bea6a57f9957c69215d1174cba94fd44597721 | 35,174 | py | Python | lib/slave/moin.py | dpla/zen | 4bd3c3621aa8fa82e22b2514b93a0978a3179771 | [
"Apache-2.0"
] | 3 | 2016-01-31T02:55:07.000Z | 2022-03-17T17:49:49.000Z | lib/slave/moin.py | dpla/zen | 4bd3c3621aa8fa82e22b2514b93a0978a3179771 | [
"Apache-2.0"
] | null | null | null | lib/slave/moin.py | dpla/zen | 4bd3c3621aa8fa82e22b2514b93a0978a3179771 | [
"Apache-2.0"
] | null | null | null | # -*- coding: iso-8859-1 -*-
#
"""
"""
#Other ideas: http://textalyser.net/
# https://digitalresearchtools.pbworks.com/w/page/17801708/Text-Analysis-Tools
#
import cStringIO
import hashlib
import datetime
from gettext import gettext as _
from functools import partial
from itertools import islice, dropwhile
from ... | 44.077694 | 179 | 0.657332 | 4,673 | 35,174 | 4.814466 | 0.155789 | 0.023469 | 0.012446 | 0.01689 | 0.33363 | 0.308205 | 0.274469 | 0.247933 | 0.222286 | 0.19135 | 0 | 0.005755 | 0.224342 | 35,174 | 797 | 180 | 44.132999 | 0.818862 | 0.247655 | 0 | 0.175355 | 0 | 0.007109 | 0.111571 | 0.027297 | 0 | 0 | 0 | 0.006274 | 0 | 0 | null | null | 0.004739 | 0.078199 | 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 |
b7c1d20c77bad679af60158b5eb70c26c072e83e | 17,919 | py | Python | client_apis/python/openapi_client/models/role.py | alikins/galaxy-api-swaggerhub | 5d6d4070cd6964c6d6217cad6743de89cf4eac24 | [
"MIT"
] | null | null | null | client_apis/python/openapi_client/models/role.py | alikins/galaxy-api-swaggerhub | 5d6d4070cd6964c6d6217cad6743de89cf4eac24 | [
"MIT"
] | 3 | 2020-07-17T10:18:45.000Z | 2022-01-22T05:24:05.000Z | client_apis/python/openapi_client/models/role.py | alikins/galaxy-api-swaggerhub | 5d6d4070cd6964c6d6217cad6743de89cf4eac24 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Galaxy 3.2 API (wip)
Galaxy 3.2 API (wip) # noqa: E501
The version of the OpenAPI document: 1.2.0
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
class Role(object):
"""NOTE: This class is auto generated by OpenAPI Genera... | 27.273973 | 376 | 0.575758 | 2,180 | 17,919 | 4.590826 | 0.070183 | 0.070344 | 0.083933 | 0.08813 | 0.528577 | 0.423761 | 0.380895 | 0.263189 | 0.141487 | 0.052958 | 0 | 0.025091 | 0.328311 | 17,919 | 656 | 377 | 27.315549 | 0.806414 | 0.33378 | 0 | 0.081272 | 1 | 0 | 0.12715 | 0.00215 | 0 | 0 | 0 | 0 | 0 | 1 | 0.169611 | false | 0 | 0.045936 | 0 | 0.321555 | 0.007067 | 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 |
b7c28b864f753906f1be4b62483c1fda1814174a | 287 | py | Python | answers/answer07.py | sharmas1ddharth/numpy-practise-questions | 8c8e63687f6bb32b17744313262efd7425d2314c | [
"MIT"
] | null | null | null | answers/answer07.py | sharmas1ddharth/numpy-practise-questions | 8c8e63687f6bb32b17744313262efd7425d2314c | [
"MIT"
] | null | null | null | answers/answer07.py | sharmas1ddharth/numpy-practise-questions | 8c8e63687f6bb32b17744313262efd7425d2314c | [
"MIT"
] | null | null | null | import numpy as np
arr = np.array([[1, 2, 3],
[4, 1, 2],
[1, 8, 2]])
sequence_to_count = '1, 2'
sequence_count = repr(arr).count(sequence_to_count)
print(f"number of times the sequence {sequence_to_count} comes in original array is : {sequence_count}") | 28.7 | 104 | 0.623693 | 46 | 287 | 3.717391 | 0.543478 | 0.035088 | 0.263158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050459 | 0.240418 | 287 | 10 | 104 | 28.7 | 0.733945 | 0 | 0 | 0 | 0 | 0 | 0.340278 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.142857 | 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 |
b7c52211d36b4eece49ba9302aa3ae6fd3929359 | 260 | py | Python | tree.py | serhii73/PyTricks | cae22a0960a7bf9a39c7fb3227e283c3b86bd05b | [
"MIT"
] | 3,271 | 2015-03-19T11:27:39.000Z | 2022-03-19T03:00:37.000Z | tree.py | serhii73/PyTricks | cae22a0960a7bf9a39c7fb3227e283c3b86bd05b | [
"MIT"
] | 78 | 2015-03-19T09:45:09.000Z | 2020-12-24T08:47:15.000Z | tree.py | serhii73/PyTricks | cae22a0960a7bf9a39c7fb3227e283c3b86bd05b | [
"MIT"
] | 531 | 2015-03-19T11:12:52.000Z | 2022-03-23T15:07:07.000Z | #! /usr/bin/env python3
"""
See description here
https://gist.github.com/hrldcpr/2012250
"""
from collections import defaultdict
tree = lambda: defaultdict(tree)
users = tree()
users['harold']['username'] = 'chopper'
users['matt']['password'] = 'hunter2'
| 17.333333 | 39 | 0.7 | 31 | 260 | 5.870968 | 0.83871 | 0.164835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039301 | 0.119231 | 260 | 14 | 40 | 18.571429 | 0.755459 | 0.323077 | 0 | 0 | 0 | 0 | 0.238095 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.2 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
b7cbcbe4d6705d457aa59a61d82a23e7408281a6 | 10,531 | py | Python | py/ext/las_str/SimplexMod.py | LeoRya/py-orbit | 340b14b6fd041ed8ec2cc25b0821b85742aabe0c | [
"MIT"
] | 17 | 2018-02-09T23:39:06.000Z | 2022-03-04T16:27:04.000Z | py/ext/las_str/SimplexMod.py | LeoRya/py-orbit | 340b14b6fd041ed8ec2cc25b0821b85742aabe0c | [
"MIT"
] | 22 | 2017-05-31T19:40:14.000Z | 2021-09-24T22:07:47.000Z | py/ext/las_str/SimplexMod.py | LeoRya/py-orbit | 340b14b6fd041ed8ec2cc25b0821b85742aabe0c | [
"MIT"
] | 37 | 2016-12-08T19:39:35.000Z | 2022-02-11T19:59:34.000Z | #!/usr/bin/env python
#
# Copyright (c) 2001 Vivake Gupta (v@omniscia.org). All rights reserved.
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at yo... | 38.155797 | 119 | 0.566233 | 1,281 | 10,531 | 4.627635 | 0.240437 | 0.055668 | 0.026991 | 0.038462 | 0.362686 | 0.324055 | 0.278509 | 0.20361 | 0.190283 | 0.171559 | 0 | 0.019317 | 0.346216 | 10,531 | 275 | 120 | 38.294545 | 0.841685 | 0.238249 | 0 | 0.401515 | 0 | 0 | 0.006673 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.022727 | null | null | 0.015152 | 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 |
b7d2573c62a1508ccf06a7929d5e7f1aa09fa8d4 | 411 | py | Python | myapp/migrations/0013_url_name.py | abhisheksaxena1998/Emergency-Blood-Plasma-Notification-System | d71e1ba46e9f91df8c991df0cfaf81c2111db713 | [
"MIT"
] | 4 | 2020-12-03T05:46:27.000Z | 2020-12-12T12:56:59.000Z | myapp/migrations/0013_url_name.py | abhisheksaxena1998/Emergency-Blood-Plasma-Notification-System | d71e1ba46e9f91df8c991df0cfaf81c2111db713 | [
"MIT"
] | 4 | 2020-12-03T05:44:20.000Z | 2020-12-03T08:55:53.000Z | myapp/migrations/0013_url_name.py | abhisheksaxena1998/Emergency-Blood-Plasma-Notification-System | d71e1ba46e9f91df8c991df0cfaf81c2111db713 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2020-08-28 12:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('myapp', '0012_auto_20200828_1720'),
]
operations = [
migrations.AddField(
model_name='url',
name='name',
... | 21.631579 | 84 | 0.600973 | 47 | 411 | 5.148936 | 0.851064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117845 | 0.277372 | 411 | 18 | 85 | 22.833333 | 0.69697 | 0.109489 | 0 | 0 | 1 | 0 | 0.120879 | 0.063187 | 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 |
b7d4a38de7e5bc464d19fba2017bcd8c2bf8027c | 1,518 | py | Python | twitmining/migrations/0009_auto_20180527_1357.py | nhlr21/socialmining | cc1ed19d1a3cae3228834bb51d4eae21b43cb8c3 | [
"MIT"
] | 4 | 2018-10-22T23:51:34.000Z | 2019-10-30T15:11:50.000Z | twitmining/migrations/0009_auto_20180527_1357.py | nhlr21/socialmining | cc1ed19d1a3cae3228834bb51d4eae21b43cb8c3 | [
"MIT"
] | null | null | null | twitmining/migrations/0009_auto_20180527_1357.py | nhlr21/socialmining | cc1ed19d1a3cae3228834bb51d4eae21b43cb8c3 | [
"MIT"
] | 1 | 2020-03-10T16:00:19.000Z | 2020-03-10T16:00:19.000Z | # Generated by Django 2.0.3 on 2018-05-27 13:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('twitmining', '0008_auto_20180408_1813'),
]
operations = [
migrations.CreateModel(
name='RelevantTweet',
fields=[
... | 29.764706 | 114 | 0.549407 | 140 | 1,518 | 5.828571 | 0.428571 | 0.066176 | 0.102941 | 0.132353 | 0.41299 | 0.41299 | 0.280637 | 0.280637 | 0.115196 | 0 | 0 | 0.042157 | 0.328063 | 1,518 | 50 | 115 | 30.36 | 0.757843 | 0.029644 | 0 | 0.409091 | 1 | 0 | 0.109449 | 0.015636 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.022727 | 0 | 0.090909 | 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 |
b7d4d5230630ab18429843728bc63738ec045bee | 614 | py | Python | glue_vispy_viewers/extern/vispy/ext/gzip_open.py | jzuhone/glue-vispy-viewers | d940705f4ba95f8d7a9a74d37fb68c71080b490a | [
"BSD-2-Clause"
] | 3 | 2018-05-09T17:55:53.000Z | 2019-07-22T09:14:41.000Z | glue_vispy_viewers/extern/vispy/ext/gzip_open.py | jzuhone/glue-vispy-viewers | d940705f4ba95f8d7a9a74d37fb68c71080b490a | [
"BSD-2-Clause"
] | 19 | 2015-06-16T14:33:22.000Z | 2015-07-27T21:18:15.000Z | graphViz/vispy/ext/gzip_open.py | onecklam/ethereum-graphviz | 6993accf0cb85e23013bf7ae6b04145724a6dbd2 | [
"Apache-2.0"
] | 1 | 2021-09-15T08:52:26.000Z | 2021-09-15T08:52:26.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
from gzip import GzipFile
# Python < 2.7 doesn't have context handling
class gzip_open(GzipFile):
def __enter__(self):
if hasattr(GzipFile, '__enter__'):
... | 30.7 | 74 | 0.64658 | 76 | 614 | 4.842105 | 0.618421 | 0.048913 | 0.092391 | 0.081522 | 0.173913 | 0.173913 | 0.173913 | 0 | 0 | 0 | 0 | 0.015251 | 0.252443 | 614 | 19 | 75 | 32.315789 | 0.786492 | 0.29316 | 0 | 0.166667 | 0 | 0 | 0.039627 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.083333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
b7d9bc84d49a0e2446ce8874aef0a65e15d490b3 | 1,102 | py | Python | houseplants/houseplants_api/migrations/0001_initial.py | galihmelon/houseplants-server-pyramid | d0f37beea2cf963184c888da143fc995bb2436e2 | [
"MIT"
] | null | null | null | houseplants/houseplants_api/migrations/0001_initial.py | galihmelon/houseplants-server-pyramid | d0f37beea2cf963184c888da143fc995bb2436e2 | [
"MIT"
] | null | null | null | houseplants/houseplants_api/migrations/0001_initial.py | galihmelon/houseplants-server-pyramid | d0f37beea2cf963184c888da143fc995bb2436e2 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.9 on 2021-11-09 19:42
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Plant',
fields=[
... | 32.411765 | 118 | 0.576225 | 109 | 1,102 | 5.688073 | 0.550459 | 0.03871 | 0.045161 | 0.070968 | 0.264516 | 0.264516 | 0.264516 | 0.264516 | 0.264516 | 0.264516 | 0 | 0.022989 | 0.289474 | 1,102 | 33 | 119 | 33.393939 | 0.768838 | 0.040835 | 0 | 0.384615 | 1 | 0 | 0.09763 | 0.019905 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
b7dd74a7abdf082dc49389a5f1866279d61db9e3 | 2,549 | py | Python | contrib/samples/openvino/tf-slim/tf-slim.py | xieqihui/pipelines | a39ae8eb779e69e4e85e424abba8ecac3f60435f | [
"Apache-2.0"
] | 1 | 2019-06-20T19:39:39.000Z | 2019-06-20T19:39:39.000Z | contrib/samples/openvino/tf-slim/tf-slim.py | xieqihui/pipelines | a39ae8eb779e69e4e85e424abba8ecac3f60435f | [
"Apache-2.0"
] | 21 | 2020-01-28T22:48:55.000Z | 2022-03-08T22:48:12.000Z | contrib/samples/openvino/tf-slim/tf-slim.py | xieqihui/pipelines | a39ae8eb779e69e4e85e424abba8ecac3f60435f | [
"Apache-2.0"
] | 1 | 2019-09-19T11:03:18.000Z | 2019-09-19T11:03:18.000Z | import kfp.dsl as dsl
@dsl.pipeline(
name='Prediction pipeline',
description='Generate slim models and optimize them with OpenVINO'
)
def tf_slim_optimize(
model_name = dsl.PipelineParam(name='model-name', value='resnet_v1_50'),
num_classes = dsl.PipelineParam(name='num-classes', value=1000),
... | 45.517857 | 144 | 0.660651 | 319 | 2,549 | 4.996865 | 0.297806 | 0.090339 | 0.112923 | 0.033877 | 0.205772 | 0.146173 | 0.146173 | 0.146173 | 0.09473 | 0.065245 | 0 | 0.020048 | 0.178109 | 2,549 | 55 | 145 | 46.345455 | 0.740811 | 0 | 0 | 0.06 | 1 | 0 | 0.385249 | 0.117693 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.04 | 0 | 0.06 | 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 |
b7e1dd839291db0d013a89ef7131d267d0038616 | 9,570 | py | Python | tests/test_shellinter.py | yiannisha/dbmanage | 9e1e36e2b59e7e369595f4804bef2c2a7ec0ec56 | [
"Apache-2.0"
] | null | null | null | tests/test_shellinter.py | yiannisha/dbmanage | 9e1e36e2b59e7e369595f4804bef2c2a7ec0ec56 | [
"Apache-2.0"
] | 10 | 2021-11-06T18:12:54.000Z | 2021-12-01T18:49:29.000Z | tests/test_shellinter.py | yiannisha/dbmanage | 9e1e36e2b59e7e369595f4804bef2c2a7ec0ec56 | [
"Apache-2.0"
] | null | null | null |
""" Unittests for shellinter.py """
from dbmanage import shellinter
import os
import getpass
import json
from subprocess import Popen, PIPE
import unittest
from tests.test_utils import get_pass, read_temp_file
class Test(unittest.TestCase):
def setUp(self) -> None:
""" Sets up tests """
# S... | 37.529412 | 157 | 0.527273 | 1,036 | 9,570 | 4.769305 | 0.250965 | 0.024287 | 0.011334 | 0.012953 | 0.414289 | 0.364906 | 0.333536 | 0.268772 | 0.268772 | 0.268772 | 0 | 0.006215 | 0.361129 | 9,570 | 254 | 158 | 37.677165 | 0.80193 | 0.250888 | 0 | 0.355556 | 0 | 0.007407 | 0.195321 | 0.040079 | 0 | 0 | 0 | 0.003937 | 0.037037 | 1 | 0.044444 | false | 0.103704 | 0.051852 | 0 | 0.103704 | 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 |
b7e4538346ed0b9a9a6233162c4130d14284fccb | 887 | py | Python | bld/libs/builder/src/steps/checkunversionedfiles.py | webbers/dongle.net | 784bc584bd74b28a1c580835bf776d76cf371c79 | [
"MIT"
] | 2 | 2017-07-31T15:57:01.000Z | 2020-02-21T09:31:11.000Z | bld/libs/builder/src/steps/checkunversionedfiles.py | webbers/dongle.net | 784bc584bd74b28a1c580835bf776d76cf371c79 | [
"MIT"
] | null | null | null | bld/libs/builder/src/steps/checkunversionedfiles.py | webbers/dongle.net | 784bc584bd74b28a1c580835bf776d76cf371c79 | [
"MIT"
] | null | null | null | import os
import StCommon
from StBuild import CStBuild
from Reporters import *
from Steps import *
import re
#--------------------------------------------------------------------
class CheckUnversionedFilesSteps( AbstractStep ):
def __init__( self, baseDir ):
AbstractStep.__init__( self, "Check Unversioned... | 30.586207 | 82 | 0.543405 | 85 | 887 | 5.482353 | 0.541176 | 0.118026 | 0.055794 | 0.085837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003125 | 0.278467 | 887 | 28 | 83 | 31.678571 | 0.725 | 0.076663 | 0 | 0 | 0 | 0 | 0.145655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.285714 | null | null | 0.047619 | 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 |
b7f786f894c8ef13509a33186b8d31eca477b06f | 715 | py | Python | gpytorch/utils/log_deprecation.py | yushangdi/gpytorch | 3234046ecb672965af8765d47eb016f85b729bb0 | [
"MIT"
] | null | null | null | gpytorch/utils/log_deprecation.py | yushangdi/gpytorch | 3234046ecb672965af8765d47eb016f85b729bb0 | [
"MIT"
] | null | null | null | gpytorch/utils/log_deprecation.py | yushangdi/gpytorch | 3234046ecb672965af8765d47eb016f85b729bb0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from ..kernels import (
CosineKernel,
IndexKernel,
MaternKernel,
PeriodicKernel,
RBFKernel,
ScaleKernel,
SpectralMixtureKernel,
)
from ..likelihoods import GaussianLikelihood, MultitaskGaussianLikelihood
MODULES_WITH_LOG_PARAMS = [
CosineKernel,
IndexKernel,... | 22.34375 | 97 | 0.723077 | 66 | 715 | 7.742424 | 0.757576 | 0.09002 | 0.136986 | 0.191781 | 0.35225 | 0.35225 | 0.35225 | 0 | 0 | 0 | 0 | 0.001764 | 0.206993 | 715 | 31 | 98 | 23.064516 | 0.899471 | 0.029371 | 0 | 0.538462 | 0 | 0 | 0.27417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 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 |
b7fab44412801c79a3338b6c0b9e391c6ee571d7 | 884 | py | Python | lesson-03b.py | mvecchione145/python-quickstart | bc8e23a6bea0d534b7f46508bcd6e49a10d97665 | [
"MIT"
] | null | null | null | lesson-03b.py | mvecchione145/python-quickstart | bc8e23a6bea0d534b7f46508bcd6e49a10d97665 | [
"MIT"
] | null | null | null | lesson-03b.py | mvecchione145/python-quickstart | bc8e23a6bea0d534b7f46508bcd6e49a10d97665 | [
"MIT"
] | null | null | null | # --STEP LIST--
# 1. Run this script.
# In your command line terminal window execute the following line:
# python lesson-03b.py
# * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
# The results should look like this:
# -- object --
# <__main_... | 19.644444 | 119 | 0.544118 | 94 | 884 | 5.010638 | 0.510638 | 0.050955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011976 | 0.244344 | 884 | 44 | 120 | 20.090909 | 0.693114 | 0.461538 | 0 | 0.157895 | 0 | 0 | 0.137555 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0 | 0.052632 | 0.210526 | 0.578947 | 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 |
4d0004bf59172b9756e75461d1d9b766520d6309 | 382 | py | Python | Sympy/SympyCombinatorics.py | SymmetricChaos/FiniteFields | 65258e06b7f04ce15223c1bc0c2384ef5e9cec1a | [
"MIT"
] | 1 | 2021-08-22T15:03:59.000Z | 2021-08-22T15:03:59.000Z | Sympy/SympyCombinatorics.py | SymmetricChaos/NumberTheory | 65258e06b7f04ce15223c1bc0c2384ef5e9cec1a | [
"MIT"
] | null | null | null | Sympy/SympyCombinatorics.py | SymmetricChaos/NumberTheory | 65258e06b7f04ce15223c1bc0c2384ef5e9cec1a | [
"MIT"
] | null | null | null | from sympy.combinatorics import Permutation, symmetric
from sympy.interactive import init_printing
S = [4,0,1,3,2]
P = Permutation(S)
print(f"Direction Notation:\n{P.list()}")
print(f"\nOne Line Notation:\n{P}")
print(f"\nNumber of Permutations:{P.cardinality}")
print(f"\nIs Even: {P.is_even}")
print(f"Is Odd: {P.is_o... | 31.833333 | 54 | 0.719895 | 65 | 382 | 4.184615 | 0.507692 | 0.132353 | 0.073529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017143 | 0.08377 | 382 | 12 | 55 | 31.833333 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0.407311 | 0.127937 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0.727273 | 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 |
4d0025dc37e1cc8ca2e0c9c6c302dbbcbcfa3392 | 6,721 | py | Python | tests/test_normalized_component.py | hunter-packages/fruit | 71d9ada48f7bf1749ce2889250955404582a7c6b | [
"Apache-2.0"
] | 1 | 2018-08-29T11:10:35.000Z | 2018-08-29T11:10:35.000Z | tests/test_normalized_component.py | hunter-packages/fruit | 71d9ada48f7bf1749ce2889250955404582a7c6b | [
"Apache-2.0"
] | 1 | 2018-08-29T11:29:53.000Z | 2018-08-29T11:29:53.000Z | tests/test_normalized_component.py | hunter-packages/fruit | 71d9ada48f7bf1749ce2889250955404582a7c6b | [
"Apache-2.0"
] | 2 | 2020-10-01T04:19:30.000Z | 2021-07-01T07:50:22.000Z | #!/usr/bin/env python3
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 32.468599 | 143 | 0.638298 | 653 | 6,721 | 6.454824 | 0.248086 | 0.043179 | 0.049822 | 0.043179 | 0.522894 | 0.488019 | 0.424911 | 0.396916 | 0.38363 | 0.370819 | 0 | 0.005826 | 0.233894 | 6,721 | 206 | 144 | 32.626214 | 0.812779 | 0.097158 | 0 | 0.6 | 0 | 0.006452 | 0.716669 | 0.360317 | 0 | 0 | 0 | 0.004854 | 0 | 1 | 0.03871 | false | 0 | 0.012903 | 0 | 0.090323 | 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 |
4d06afae3b25fee09e45c9f20bca563cb0fe5393 | 4,714 | py | Python | View/cadastro_finalizadoras.py | felipezago/ControleEstoque | 229659c4f9888fd01df34375ec92af7a1f734d10 | [
"MIT"
] | null | null | null | View/cadastro_finalizadoras.py | felipezago/ControleEstoque | 229659c4f9888fd01df34375ec92af7a1f734d10 | [
"MIT"
] | null | null | null | View/cadastro_finalizadoras.py | felipezago/ControleEstoque | 229659c4f9888fd01df34375ec92af7a1f734d10 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'cadastro_finalizadoras.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_ct_FormProdutos(object):
def setupUi(self, ct_Form... | 41.350877 | 98 | 0.705134 | 567 | 4,714 | 5.700176 | 0.261023 | 0.037129 | 0.055693 | 0.034035 | 0.375928 | 0.262686 | 0.208849 | 0.132426 | 0.068069 | 0.068069 | 0 | 0.037402 | 0.160585 | 4,714 | 113 | 99 | 41.716814 | 0.779378 | 0.041578 | 0 | 0.24 | 1 | 0 | 0.191088 | 0.009311 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.01 | 0 | 0.04 | 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 |
4d0a31edd3059549aa22ec84990223b01153df14 | 6,943 | py | Python | scripts/preprocess.py | hansheng0512/Scanned-document-classification-using-deep-learning | 486ceb0cc09ad82ee089b5d08f490524051c0b14 | [
"MIT"
] | 38 | 2020-03-26T13:04:01.000Z | 2021-07-14T16:45:41.000Z | scripts/preprocess.py | arpan65/Scanned-Document-Classification | debf8c45b8ac6e018a4fd6af950e5d6fa942cca7 | [
"MIT"
] | 5 | 2020-06-09T13:18:24.000Z | 2021-07-21T08:30:29.000Z | scripts/preprocess.py | arpan65/Scanned-Document-Classification | debf8c45b8ac6e018a4fd6af950e5d6fa942cca7 | [
"MIT"
] | 26 | 2020-01-06T16:14:03.000Z | 2021-07-21T07:50:32.000Z | import warnings
warnings.filterwarnings("ignore")
import shutil
import os
import tarfile
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pickle
from sklearn.manifold import TSNE
from sklearn import preprocessing
import pandas as pd
from... | 39.225989 | 120 | 0.660089 | 985 | 6,943 | 4.549239 | 0.211168 | 0.01339 | 0.02678 | 0.046865 | 0.424682 | 0.404151 | 0.351261 | 0.322696 | 0.307521 | 0.307521 | 0 | 0.021962 | 0.186807 | 6,943 | 177 | 121 | 39.225989 | 0.771697 | 0.089875 | 0 | 0.314465 | 0 | 0 | 0.087928 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.232704 | 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 |
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