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values | gha_event_created_at timestamp[us]date 2012-06-04 01:52:49 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[us]date 2008-05-22 07:58:19 2023-08-21 12:35:19 ⌀ | gha_language stringclasses 149
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42c7c20a57cfd7667a3ee3a05e5ad7b229d4de70 | 79e1d04867c4298b23c907f92c7119e4bea8ef02 | /allennlp/allennlp/training/learning_rate_schedulers.py | 487e8be55e48131c234a59bfe62e3adf9db87fe7 | [
"Apache-2.0"
] | permissive | ethanjperez/convince | 53db0bcd978831799c68fe63ecb0c91473ec40c4 | ccf60824b28f0ce8ceda44a7ce52a0d117669115 | refs/heads/master | 2023-01-08T09:12:16.722614 | 2021-11-03T18:50:30 | 2021-11-03T18:50:30 | 205,189,291 | 27 | 8 | Apache-2.0 | 2023-01-05T22:43:12 | 2019-08-29T15:03:34 | Python | UTF-8 | Python | false | false | 16,775 | py | """
AllenNLP uses most
`PyTorch learning rate schedulers <http://pytorch.org/docs/master/optim.html#how-to-adjust-learning-rate>`_,
with a thin wrapper to allow registering them and instantiating them ``from_params``.
The available learning rate schedulers from PyTorch are
* `"step" <http://pytorch.org/docs/master/op... | [
"ethanperez18@gmail.com"
] | ethanperez18@gmail.com |
c12ed3555353b036fbee254e5955d663e05c5577 | 96dcea595e7c16cec07b3f649afd65f3660a0bad | /homeassistant/components/tcp/const.py | 3a42736c753ef8a6036d4568a0522b0ac67010f0 | [
"Apache-2.0"
] | permissive | home-assistant/core | 3455eac2e9d925c92d30178643b1aaccf3a6484f | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | refs/heads/dev | 2023-08-31T15:41:06.299469 | 2023-08-31T14:50:53 | 2023-08-31T14:50:53 | 12,888,993 | 35,501 | 20,617 | Apache-2.0 | 2023-09-14T21:50:15 | 2013-09-17T07:29:48 | Python | UTF-8 | Python | false | false | 328 | py | """Constants for TCP platform."""
from __future__ import annotations
from typing import Final
CONF_BUFFER_SIZE: Final = "buffer_size"
CONF_VALUE_ON: Final = "value_on"
DEFAULT_BUFFER_SIZE: Final = 1024
DEFAULT_NAME: Final = "TCP Sensor"
DEFAULT_TIMEOUT: Final = 10
DEFAULT_SSL: Final = False
DEFAULT_VERIFY_SSL: Final... | [
"noreply@github.com"
] | home-assistant.noreply@github.com |
566a0739dd637ac3f992fb3bde87f6e86a163245 | 98b1956594921aeef6e4b3c0f5b15703c3eee6a7 | /atom/nucleus/python/nucleus_api/models/notification_setting.py | 8a24b850138171e7f281df812ece026cb33b2857 | [
"Apache-2.0"
] | permissive | sumit4-ttn/SDK | d4db3dcac077e9c9508a8227010a2ab764c31023 | b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff | refs/heads/master | 2022-11-25T14:05:16.911068 | 2020-08-09T17:31:55 | 2020-08-09T17:31:55 | 286,413,715 | 0 | 0 | Apache-2.0 | 2020-08-10T08:03:04 | 2020-08-10T08:03:03 | null | UTF-8 | Python | false | false | 11,187 | py | # coding: utf-8
"""
Hydrogen Atom API
The Hydrogen Atom API # noqa: E501
OpenAPI spec version: 1.7.0
Contact: info@hydrogenplatform.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class NotificationSetting(object):
... | [
"hydrogen@Hydrogens-MacBook-Pro.local"
] | hydrogen@Hydrogens-MacBook-Pro.local |
6ada1adbb78c2a1e0598d59d181a4cbf8af24c48 | 64bf39b96a014b5d3f69b3311430185c64a7ff0e | /intro-ansible/venv3/lib/python3.8/site-packages/ansible_collections/community/network/plugins/modules/network/cloudengine/ce_lldp_interface.py | 648d9118d9dc54468208c42c118adcbb5d4733a0 | [
"GPL-3.0-or-later",
"GPL-3.0-only",
"MIT"
] | permissive | SimonFangCisco/dne-dna-code | 7072eba7da0389e37507b7a2aa5f7d0c0735a220 | 2ea7d4f00212f502bc684ac257371ada73da1ca9 | refs/heads/master | 2023-03-10T23:10:31.392558 | 2021-02-25T15:04:36 | 2021-02-25T15:04:36 | 342,274,373 | 0 | 0 | MIT | 2021-02-25T14:39:22 | 2021-02-25T14:39:22 | null | UTF-8 | Python | false | false | 70,008 | py | #!/usr/bin/python
#
# This file is part of Ansible
#
# Ansible 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 3 of the License, or
# (at your option) any later version.
#
# Ansible is distribut... | [
"sifang@cisco.com"
] | sifang@cisco.com |
0571fd0e83d3c8cedd7d3130d18e0298230f8218 | 2c4763aa544344a3a615f9a65d1ded7d0f59ae50 | /playground/test_fail/wscript | 95c282a2af9a13a02b6175cb035208d83d474246 | [] | no_license | afeldman/waf | 572bf95d6b11571bbb2941ba0fe463402b1e39f3 | 4c489b38fe1520ec1bc0fa7e1521f7129c20f8b6 | refs/heads/master | 2021-05-09T18:18:16.598191 | 2019-03-05T06:33:42 | 2019-03-05T06:33:42 | 58,713,085 | 0 | 0 | null | 2016-05-13T07:34:33 | 2016-05-13T07:34:33 | null | UTF-8 | Python | false | false | 1,163 | #! /usr/bin/env python
# encoding: utf-8
# Thomas Nagy, 2011 (ita)
"""
Map a compilation failure to a success status. People playing with C++ templates
might need this.
"""
top = '.'
out = 'build'
def options(opt):
opt.load('compiler_cxx')
def configure(conf):
conf.load('compiler_cxx')
def buil... | [
"anton.feldmann@outlook.de"
] | anton.feldmann@outlook.de | |
792f0e26fb0531faa14be43065ca915945d46398 | f771e83756436594a145bd7b80e5e5d8bca53268 | /test_app/migrations/twitter/0002_auto_20180530_0935.py | 7f522ac7dda3d0cc45602484943d733bdcf6df26 | [
"MIT"
] | permissive | bnzk/djangocms-baseplugins | b76ed75460fbeacb62366935824d2bcfac52b25e | 98e390482aa4facc35efe2412ff1603d85e2c8ba | refs/heads/develop | 2023-06-17T23:55:41.574828 | 2023-06-09T09:22:01 | 2023-06-09T09:22:01 | 68,296,521 | 2 | 0 | MIT | 2023-04-17T09:18:11 | 2016-09-15T13:32:05 | Python | UTF-8 | Python | false | false | 2,319 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-05-30 09:35
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('twitter', '0001_initial'),
]
operations = [
migrations.AddField(
... | [
"bnzk@bnzk.ch"
] | bnzk@bnzk.ch |
f847203df4ede5b0fbb299394fd26184af8cdc8a | 88ed6ed99589f7fb8e49aeb6c15bf0d51fe14a01 | /049_group-anagrams.py | be39e43dcb820a52855a524f2c1fe18e6cb730a2 | [] | no_license | ryeLearnMore/LeetCode | 3e97becb06ca2cf4ec15c43f77447b6ac2a061c6 | 04ec1eb720474a87a2995938743f05e7ad5e66e3 | refs/heads/master | 2020-04-07T19:02:43.171691 | 2019-06-23T15:09:19 | 2019-06-23T15:09:19 | 158,634,176 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,642 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#@author: rye
#@time: 2019/3/13
'''
总结：
思路正解差不多，但是过不了，原因在于如果strs里有重复的字符串就无法处理。
还没想好怎么解决。
'''
class Solution(object):
def groupAnagrams(self, strs):
"""
:type strs: List[str]
:rtype: List[List[str]]
"""
arr = []
... | [
"noreply@github.com"
] | ryeLearnMore.noreply@github.com |
5aa4056b5a3b3b7562859e1199fa04a338390c39 | 5730110af5e4f0abe538ed7825ddd62c79bc3704 | /pacu/pacu/core/model/analysis_fixture.py | 392c070eabf6f44a81418eea1b412337f5febeca | [] | no_license | jzeitoun/pacu-v2 | bdbb81def96a2d87171ca20b89c878b2f66975e7 | 0ccb254a658263b4fe8c80ea623f860cb7dc1428 | refs/heads/master | 2021-06-03T18:50:50.890399 | 2020-04-27T16:31:59 | 2020-04-27T16:31:59 | 110,889,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 983 | py | # one = dict(
# type=u'i3d',
# title=u'First transplantation',
# user=u'Sunil',
# desc=u'The brain has the remarkable capacity to rewire its connections and thereby reorganize its function. In the juvenile brain, the plasticity of neuronal connections mediates the fine-tuning of a wide range of behavior... | [
"jzeitoun@uci.edu"
] | jzeitoun@uci.edu |
c32eb96335d89570632c54e7cfe7bbea03eb18aa | b22205aa21ac51c7b14dfaab556eea1f8902a922 | /bin/foamOutputDirs.py | e6882006845de0e8a6ce636f6f9e54ca763c15b1 | [] | no_license | ewquon/pylib | a1c6a64a0127c5078e19f190ec252ccd00b5035e | c34afb2a13fc0075f95a43bac99219b25b3984a2 | refs/heads/master | 2023-07-12T11:32:31.671093 | 2023-06-21T15:59:15 | 2023-06-21T15:59:15 | 41,262,844 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 615 | py | #!/usr/bin/env python
import sys
import os
dirs = [ dname for dname in os.listdir('.') if os.path.isdir(dname) ]
dirlist = []
numlist = []
for d in dirs:
try:
step = float(d)
numlist.append(step)
dirlist.append(d)
except ValueError: pass
# sort list of floats
indices = [i[0] for i in... | [
"eliot.quon@nrel.gov"
] | eliot.quon@nrel.gov |
609a9ef66b72016bf583dc87d491d71c0fe4395e | 18a0e8f672359f8f0e0e1b8a356e87627399be87 | /testproject/settings.py | 62082bdfc9780bf034cf882de53e64e6c9ab93ca | [
"BSD-2-Clause"
] | permissive | ptim/formulation | 69ee3cf24981ded2552ef47f1c8ba999820e038d | 2351cc85cd189c7029a35801a8f95e7450b175d3 | refs/heads/master | 2021-01-18T05:47:46.960270 | 2014-07-23T14:04:59 | 2014-07-23T14:04:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 503 | py | # test project django settings
import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'name': ':memory:',
},
}
ROOT_URLCONF = 'testproject.urls'
SECRET_KEY = 's3cr3t'
INSTALLED_APPS = (
'formulation',
)
TEMPLATE... | [
"curtis@tinbrain.net"
] | curtis@tinbrain.net |
3938f608cebd2d4198512b2979b0290982d04b86 | 6dfb7fe44b6c5bfb7feb5a101656e3d3402a621f | /simp_py_examples/course/SM1801/t012.py | a660e43c7dba6f39eeb873127d7ed0732ab05063 | [
"MIT"
] | permissive | kcfkwok2003/Simp_py | 11d6813fac83ab6309eb8efc22fcd8edde5b19b8 | f75e66da01b45dc8688dda602f8b33d4258f0c31 | refs/heads/master | 2021-05-11T00:36:36.872754 | 2018-12-19T01:41:15 | 2018-12-19T01:41:15 | 118,306,332 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 139 | py | # t012.py
from machine import Pin
led=Pin(26,Pin.OUT)
while True:
led.value(0) # 0V
time.sleep(1)
led.value(1) # 3.3V
time.sleep(1)
| [
"kcfkwok@gmail.com"
] | kcfkwok@gmail.com |
627a2e28b59cabee99cdbfa37daee24e496a77f5 | 561a032be5f4f37f40e49ed70740d167e3a12d56 | /django_movie/movies/migrations/0002_auto_20210820_0202.py | cfcce499af7dc2452be06bb99ba4325e264a6a22 | [] | no_license | Mazev/django_movie | 6f3e0cfbd4e46431f03bd900a86cae4dca9f27f3 | af5a194d5fb5a08a944358ba2226a2e1db2e137b | refs/heads/main | 2023-07-12T21:11:07.410313 | 2021-08-21T16:38:58 | 2021-08-21T16:38:58 | 397,938,816 | 0 | 0 | null | 2021-08-21T16:38:58 | 2021-08-19T12:40:24 | JavaScript | UTF-8 | Python | false | false | 1,270 | py | # Generated by Django 3.2.6 on 2021-08-19 23:02
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('movies', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='movie',
... | [
"77510376+Mazev@users.noreply.github.com"
] | 77510376+Mazev@users.noreply.github.com |
be33e0ee19c20030f9a4e0d0e74e372a872cd5e7 | 784a030b7afb119b5b7024339117a33549db4d74 | /taravel/locations/migrations/0002_auto_20160409_0001.py | 526d2deaffc258d532fb5a657c28a7d49a7b052a | [
"MIT"
] | permissive | ad-m/taravel | bb136d789cf3a22ffe3744fe3cc273edd5c74640 | 4697ee51eec48ed8bb57d7b4a00f352f47e40ba0 | refs/heads/master | 2020-12-29T02:32:04.320280 | 2017-04-09T18:05:28 | 2017-04-09T18:05:28 | 55,809,856 | 0 | 0 | null | 2016-07-21T14:54:38 | 2016-04-08T21:10:20 | JavaScript | UTF-8 | Python | false | false | 473 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-04-09 00:01
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('locations', '0001_initial'),
]
operations = [
migrations.AlterField(
... | [
"naczelnik@jawnosc.tk"
] | naczelnik@jawnosc.tk |
2d7fb17440dde49931c5efae141b324e970191e8 | eab1756b01717e81537133400f36aea4d7a0876f | /yuxin_numpy/variable_fetch_bug_report.py | 5e9afe5df43ac413eecfdf31779316e614e6e14c | [] | no_license | bearpelican/cluster | d677fe392ac1196b77e3f8fb79e530ec8371080f | 2e316cf1def0b72b47f79a864ed3aa778c297b95 | refs/heads/master | 2020-03-21T06:52:57.514901 | 2018-08-10T10:20:26 | 2018-08-10T22:33:05 | 138,246,892 | 3 | 1 | null | 2018-06-22T02:51:07 | 2018-06-22T02:51:07 | null | UTF-8 | Python | false | false | 5,162 | py | # Run D2H and H2D benchmark with synthetic workload with feed-fetch step
import tensorflow as tf
import argparse
import numpy as np
import time
import ray
import os
import portpicker
import subprocess
import sys
import tensorflow as tf
import threading
import time
import pickle
from collections import OrderedDict... | [
"yaroslavvb@gmail.com"
] | yaroslavvb@gmail.com |
66ea90b48965b0961d8c7d2105f84ad9a958f42f | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/pa3/sample/stmt_for_list-48.py | 50e53e7e7d2f5a49593f26d6b5dfdfb9e4cb9c7e | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 76 | py | x:int = 0
z:[int] = None
z = [1, 2, 3]
for x in z:
print($Parameters)
| [
"647530+Virtlink@users.noreply.github.com"
] | 647530+Virtlink@users.noreply.github.com |
28a011661f24c1229e4e973964de433c47835416 | fd0328f6a5f78cfa80d61094517fa0f32943bb9e | /superlists/urls.py | 902f87670539d653d465801868e9194a9774418b | [] | no_license | liangsongyou/superlists | 3eee6ae492e89a13a54aec55f4b94c78c1fa049a | fd1704a14d18fe9fa7dc1074a172d9b0708ba1f3 | refs/heads/master | 2020-03-16T21:50:41.382819 | 2018-05-31T07:44:14 | 2018-05-31T07:44:14 | 111,548,891 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,036 | py | """superlists URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | [
"yuebei58@gmail.com"
] | yuebei58@gmail.com |
b92f292c218ba6dc7a54c573b10dc237a4ac6bff | 7a0070b15636653f404c2b2b85d300e949db1fb2 | /muglaSepetiApp/migrationsex/0033_auto_20200921_0209.py | 8d9ec33af59cb6b3643d7afcc29b60c2de0cea8c | [] | no_license | furkankykc/MuglaSepeti | 8d0f29faf8a868b159ca0d158cdb2e312784c626 | 58a650e68fd283baeaa0ae6716c8ea316b996c16 | refs/heads/master | 2023-01-08T22:15:00.878505 | 2020-11-09T21:18:13 | 2020-11-09T21:18:13 | 287,108,356 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 423 | py | # Generated by Django 3.0.8 on 2020-09-20 23:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('muglaSepetiApp', '0032_auto_20200921_0208'),
]
operations = [
migrations.AlterField(
model_name='config',
name='abou... | [
"furkanfbr@gmail.com"
] | furkanfbr@gmail.com |
b26759a3ad30279cdb6e5e3d1504992e161eee56 | 9cbab916088192af67a19aaee25fe7d6e5d27a31 | /file/create.py | 255728651113829e6fdd6bb10971222ec7e3638c | [] | no_license | ddayzzz/Pythonlearning | 806c75304d7d954f2c935031d4d7516be7ce7300 | 54e92aa5282da97b6d4bd2355a668a16c272ee68 | refs/heads/master | 2020-12-30T12:44:49.465356 | 2017-05-25T15:12:53 | 2017-05-25T15:12:53 | 91,356,527 | 0 | 0 | null | null | null | null | WINDOWS-1252 | Python | false | false | 361 | py | #create py
#coding=gb2312
import os,shelve,pprint
selffile='createfile'
selfptr=shelve.open(selffile)
dic=[{'name':'Ãû×Ö'},{'USSR':'former soviet'},{'China':{'1':'china','2':'Chinese'}}]
selfptr['dic']=dic
crepy='create1.py'
fptr=open(crepy,'a')
fptr.write('#coding=gb2312\nimport pprint,shelve\nprint(pprint.pformat(she... | [
"wangshu214@live.cn"
] | wangshu214@live.cn |
9124499c826b46e8fc759077b08027aae9b2d2d4 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02709/s723829299.py | 01a4d49022c1c656def13e678e9cfeee8f882cc1 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 618 | py | n=int(input())
a=list(map(int,input().split()))
a=list(zip(range(n),a))#[index,a]の配列
a.sort(key=lambda x:x[1])#aの昇順で並べる
dp=[[0 for i in range(n+1)]for j in range(n+1)] #dp[x][y]:=左にx、右にy人並べたときの最大値
ans=0
for k in range(n):# k人目まで終了、k+1人目に対して
i,ai=a.pop()#aの大きいものから取り出す
dp[k+1][0]=dp[k][0]+ai*(i-k)
dp[0][k+1]=dp[0][... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
4c8ab6bc0205d4424c71cea52b683546ac62f73b | c4313edda0f14795490080af1ba400b826611be8 | /lib/Crypto.lin.x64/Crypto/SelfTest/Hash/test_SHA3_224.py | 69128d9f74da2ba9b5b697ea56e7343ea0daab7a | [
"MIT"
] | permissive | tosher/Mediawiker | 821a4eab9f812e820bab3a8f4d3f3d542d3aeafa | 89c25d4fa6c6224edbaf5f06794a03594bcccad0 | refs/heads/master | 2023-07-06T02:45:05.924541 | 2023-07-01T18:32:09 | 2023-07-01T18:32:09 | 6,582,157 | 104 | 22 | NOASSERTION | 2023-09-14T18:00:30 | 2012-11-07T16:18:25 | Python | UTF-8 | Python | false | false | 2,874 | py | # -*- coding: utf-8 -*-
#
# SelfTest/Hash/test_SHA3_224.py: Self-test for the SHA-3/224 hash function
#
# ===================================================================
# The contents of this file are dedicated to the public domain. To
# the extent that dedication to the public domain is not available,
# everyone... | [
"to.tosher@gmail.com"
] | to.tosher@gmail.com |
19c10d17f3d2fb83cd470c70b8a4a7eaa4e2d4c5 | 5b5145ce47a6e14f342f21ba3752ab8823d8043a | /panoptes_aggregation/tests/reducer_tests/test_shape_reducer_fan.py | 1e05d18634e45d2e3d228b12da528f8c96a1801f | [
"Apache-2.0"
] | permissive | isabella232/aggregation-for-caesar | 335f40c801e2cd18e807b6f10d8228e9c659df97 | 9ce7616b60ab32b13791868ace1637801ea937e9 | refs/heads/master | 2023-03-20T08:21:44.889957 | 2020-12-14T11:54:55 | 2020-12-14T14:17:28 | 322,817,491 | 0 | 0 | Apache-2.0 | 2021-02-23T23:28:33 | 2020-12-19T10:06:10 | null | UTF-8 | Python | false | false | 6,281 | py | from panoptes_aggregation.reducers.shape_reducer_dbscan import process_data as process_data_dbscan, shape_reducer_dbscan
from panoptes_aggregation.reducers.shape_reducer_hdbscan import process_data as process_data_hdbscan, shape_reducer_hdbscan
from .base_test_class import ReducerTest
import copy
extracted_data = [
... | [
"coleman.krawczyk@gmail.com"
] | coleman.krawczyk@gmail.com |
d3c4d7c5e6c299881eefffeaddcf06d19bd78463 | 4ccaf5252f5936414638f254ca5932ad922cd582 | /ex034 - Aumentos multiplos.py | 66bc546db7f4f138303f01e794b214d8ad0051a7 | [] | no_license | carlosaugus1o/Python-Exercicios | b0a525436d7cf24e3fc9ccfd046278ad383eb01c | 6216430dac9d5fc6fe3b75ae9625063d4971e419 | refs/heads/main | 2023-07-03T22:59:31.913494 | 2021-07-28T03:05:50 | 2021-07-28T03:05:50 | 390,193,957 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 231 | py | salário = float(input('Informe o salário do funcionário: R$ '))
if salário < 1250:
aumento = salário * 1.15
else:
aumento = salário * 1.1
print('O novo salário do funcionário será de {:.2f}'.format(aumento))
| [
"noreply@github.com"
] | carlosaugus1o.noreply@github.com |
6f9bb16e2b0de1dc1aaabf69938acdcbe66f7819 | b7d0f003cfb0ec6fa25f99d9f7b544dc38ae6aa8 | /concept/greedy/fractionalKnapsack.py | a04a8c99034d44bba0bd5bf14a0d3aa537b69b91 | [] | no_license | Kimyechan/dataStructureAndArgorithm | 43c2cfa0d12a5c729f687d786ef6dde23bf193a7 | c9f8f614621aee9e236ffef20e5e563b37bab0b3 | refs/heads/master | 2021-07-09T03:31:31.405725 | 2021-03-09T13:18:55 | 2021-03-09T13:18:55 | 231,402,629 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 541 | py | data_list = [(10, 10), (15, 12), (20, 10), (25, 8), (30, 5)]
def getMaxValue(dataList, capacity):
dataList = sorted(dataList, key=lambda x: x[1] / x[0], reverse=True)
detail = list()
value = 0
for data in dataList:
if capacity - data[0] >= 0:
value += data[1]
capacity... | [
"vlvkcjswo7@naver.com"
] | vlvkcjswo7@naver.com |
eba37ec8db396d0c781197f2c79e8b1305138bf5 | 537e30c108e7a575cec1b7a9332439e1abac811d | /venv/bin/list_instances | c49900bc82f96c01a5302e64f08b84b988637fd1 | [] | no_license | kangqiwang/extractOntology | d5401bb27603e94264d84ec41fc9e994ece92278 | 89b3d7bc1cf08ea8856cb9221448e988d4d2f992 | refs/heads/master | 2020-08-13T01:44:19.399402 | 2019-11-18T18:52:28 | 2019-11-18T18:52:28 | 214,881,034 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,136 | #!/home/kang/Project/myGit/extractOntology/venv/bin/python
import sys
from operator import attrgetter
from optparse import OptionParser
import boto
from boto.ec2 import regions
HEADERS = {
'ID': {'get': attrgetter('id'), 'length':15},
'Zone': {'get': attrgetter('placement'), 'length':15},
'Groups': {'ge... | [
"kangqiwang@outlook.com"
] | kangqiwang@outlook.com | |
0b001c9312d96ede3a0cf7bf4d0ba79d5db06435 | 13fbdd8f19c98c0b0295ae0c8d5dccd8c57761f5 | /chapter_4_modeling/train_w2vclassify.py | ebf853a144074da1c4f30939c1c04e22e05362f1 | [
"Apache-2.0"
] | permissive | gridl/voicebook | 13a6d2ba7d9f0dd1786bb6fdabfefb14cc5b4924 | 1a889b443e81e56c48f5a5b4146370ea3d9f7bb1 | refs/heads/master | 2020-03-30T00:47:10.145422 | 2018-09-24T16:13:51 | 2018-09-24T16:13:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,158 | py | '''
train w2vclassify.py
Author: @Jim Schwoebel
Title: Train Word2Vec
This script takes in two lists of sentences, which are then broken down to their
respective words. Word2vec embedding models are then created for each of these
lists in numpy arrays.
Now, we have two word2vec models we can use for machine learning... | [
"noreply@github.com"
] | gridl.noreply@github.com |
e8d97fc8a462b5ec994919115a9da2beb1399e1e | f8967772b9c67b3917285e5c14ff0c26440c75ad | /p_code/for.py | f4319f51509e38e57cfff177e4c91bdcb0e10193 | [] | no_license | mdAshrafuddin/python | 9302b5285f5f83ee4e03c001b2fa1234a54affbf | ae84e5c677a649c9916af38e60d91491b498a36f | refs/heads/main | 2023-02-17T13:56:19.855635 | 2021-01-13T16:45:17 | 2021-01-13T16:45:17 | 329,363,755 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,828 | py | # # for target_list in expression_list: suite
# # [else:suite]
# # n = [1, 3, 5, 6]
# for i in range(10):
# print(i)
# if i == 5:
# break
# # # string, tuple or list
# # persion = ["AShraf", 'tanjil', 'tamim', 'asj']
# # for p in persion:
# # print(p, len(p))
# phone_book = {
# "Mom": "123-... | [
"mdtanjil01753511918@gmail.com"
] | mdtanjil01753511918@gmail.com |
5f43704fc9571b6699a66ef7258a37a6851a5d9f | d4adf8e72bfc767bb6ad32e81a2d24a0309d90b7 | /Clients/Python/DBSAPI/UserExamples/dbsUpdateLumiSection.py | e7cdc9a58acf08ed3e61d61816c2246ec9745685 | [] | no_license | dmwm/DBSAPI | 5c55dd10161a1bb1fb6f646ca92dd3c4f263a256 | 3117ac30672a1932cef4606fbf7693ce4952b79d | refs/heads/master | 2021-01-21T19:28:22.329112 | 2013-10-30T12:07:54 | 2013-10-30T12:07:54 | 13,984,999 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 956 | py | #!/usr/bin/env python
#
# Revision: 1.3 $"
# Id: DBSXMLParser.java,v 1.3 2006/10/26 18:26:04 afaq Exp $"
#
#
import sys
from DBSAPI.dbsApi import DbsApi
from DBSAPI.dbsException import *
from DBSAPI.dbsApiException import *
from DBSAPI.dbsLumiSection import DbsLumiSection
from DBSAPI.dbsOptions import DbsOptionParser
... | [
"giulio.eulisse@cern.ch"
] | giulio.eulisse@cern.ch |
0f71e7d1375a7e6b6ec28cf3c3c93b812af90331 | 33af6185b48bd76f97f0a74390a3a812ee216c78 | /angr-doc/examples/mma_howtouse/solve.py | 590cbe00ab75741931603ffef1f242a6c027b2ee | [
"BSD-2-Clause"
] | permissive | Ruide/angr-dev | dab0cabd907fce47ac698f890c3f3a8b80ab7e2a | 964dc80c758e25c698c2cbcc454ef5954c5fa0a0 | refs/heads/master | 2022-11-10T11:27:13.355024 | 2017-10-07T14:29:09 | 2017-10-07T14:29:09 | 104,417,044 | 0 | 1 | BSD-2-Clause | 2022-10-16T04:48:10 | 2017-09-22T01:35:12 | C | UTF-8 | Python | false | false | 1,329 | py | #!/usr/bin/env python
#
# This binary, from the MMA CTF, was a simple reversing challenge. THe biggest
# challenge was actually *running* this library in Windows. Luckily, with angr,
# we can avoid having to do this!
#
# The approach here is to use angr as a concrete execution engine to call the
# `howtouse` function ... | [
"rd.cheung.bupt.sms@gmail.com"
] | rd.cheung.bupt.sms@gmail.com |
fdf6a8987be76bdec8c219e115f22fc45208bdc9 | c41bbe6374d896c6bb36fe6c94a83f474388214e | /train.py | 079bc9699d85b1dd9a766040f43a84bc48c4fd4a | [] | no_license | DableUTeeF/sift_rep | dce8f0d15d80a7d41b7f97480eb13ef744806888 | 922109478bd33e7e3de74e352a99023ef479bcbf | refs/heads/master | 2020-04-24T16:28:24.124287 | 2019-02-22T17:38:40 | 2019-02-22T17:38:40 | 172,108,298 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,357 | py | import natthaphon
import models
import datagen
from torch import nn, optim
import json
import os
def lrstep(epoch):
if epoch < 150:
a = 0.05
elif 150 < epoch < 225:
a = 0.005
else:
a = 0.0005
print(f'Epoch: {epoch+1} - returning learning rate {a}')
return a
if __name__ ==... | [
"palm22180@gmail.com"
] | palm22180@gmail.com |
129fa6a2abc715f1b035273b3ccc5bae8d183bf9 | fe3bc38d2a9f80a6b258e2c61dbe4557323a1d71 | /corehq/apps/smsbillables/management/commands/add_moz_zero_charge.py | 3d49a8b4d97eb67199c33df40d022eb1d8355668 | [] | no_license | ekush/commcare-hq | 077eb3f525ffb7d1acca0848b9c7678baf776832 | 97a1f55f24f79224724b2ecdc7d5cea87d42f65b | refs/heads/master | 2021-01-17T22:25:09.734898 | 2015-08-25T23:07:49 | 2015-08-25T23:07:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,981 | py | from decimal import Decimal
import logging
from couchdbkit import ResourceNotFound
from django.core.management.base import LabelCommand
from corehq.apps.accounting.models import Currency
from corehq.apps.sms.backend.http_api import HttpBackend
from corehq.apps.sms.models import INCOMING, OUTGOING
from corehq.apps.sms... | [
"npellegrino@dimagi.com"
] | npellegrino@dimagi.com |
36012a75fd7fc8f9abd7cf667e21753bedc9c361 | c8362b6beb84577a89b90fa729beec35c094cf96 | /generate_json.py | 9e7aece6f258377d56e8c121de372110e0547509 | [] | no_license | akx/twitter-swagger-api-defs | 651f4117341fb5476e586a93940b5f663ec9e4f5 | 0fbb55527a990df35ebe659d7adcfbcab4ab123a | refs/heads/master | 2016-09-05T22:19:51.440050 | 2013-06-04T16:31:23 | 2013-06-04T16:31:23 | 10,478,163 | 1 | 5 | null | null | null | null | UTF-8 | Python | false | false | 2,929 | py | import os
import re
import urlparse
from lxml.html import HTMLParser
from lxml import etree
url_param_re = re.compile(r":([a-z_]+)", re.I)
def inner_text(el):
if not el:
return None
if isinstance(el, list):
el = el[0]
return etree.tostring(el, method="text", encoding="UTF-8").decode("UTF-... | [
"akx@iki.fi"
] | akx@iki.fi |
5393132b63d05209be58fd2eecf5fdb158d8cfab | 8cf9c32fcad16c4109809447a530b435d290aa25 | /desktop/libs/notebook/src/notebook/connectors/altus.py | c5b7c4646ffa65ca93d8617617fa8b39dfbde67d | [
"Apache-2.0"
] | permissive | veritascl/hue | 38618e923d43bc167be6dd15c9d4b084758655d3 | ceb267982049638d306aff975bf0c9572db1560d | refs/heads/master | 2020-03-26T13:57:57.673750 | 2018-08-15T16:27:06 | 2018-08-15T16:54:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,082 | py | #!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you ma... | [
"romain@cloudera.com"
] | romain@cloudera.com |
6b48c0a42b044f51c67f1fc12bca48691e1a126d | f594c17d04a882d80d0cc2bbcb54163fbeca0aa8 | /geotagging/fixes/gis/admin/options.py | f98e796036a2cbe5a280338ce47b51b5a5287cea | [
"LicenseRef-scancode-warranty-disclaimer",
"BSD-2-Clause"
] | permissive | AlphaRomeo13/django-geotagging | 9f3752c16260d4eab3592975ac9930ebe87f9244 | c846bdb82556a64e16ba08730c85921c66ca01eb | refs/heads/master | 2021-01-12T09:22:11.384120 | 2016-12-11T18:23:59 | 2016-12-11T18:23:59 | 76,152,012 | 1 | 0 | null | 2016-12-11T03:30:44 | 2016-12-11T03:30:44 | null | UTF-8 | Python | false | false | 6,161 | py | from django.contrib.admin.options import BaseModelAdmin, InlineModelAdmin, \
StackedInline, TabularInline
from geotagging.fixes.gis.admin.widgets import OpenLayersWidgetFixed as OpenLayersWidget
from django.contrib.gis.gdal import OGRGeomType
from django.contrib.gis.db import m... | [
"pete@lincolnloop.com"
] | pete@lincolnloop.com |
047ee7629aacfb019abe87491bacab106a583b03 | efb7180c05964aee07756dbd4f9982f81559d7e3 | /TradeBot/tradebotapp/admin.py | d151aa6b4efce4984dc6473207db707c1514746f | [] | no_license | ShunnoSaiful/Trade-Bot | 920ba75225d921f54530fc9f0d10a8eb9eabdaaf | d07489dea5fcf1d1d51a918a3127f620682107f2 | refs/heads/master | 2022-11-24T08:22:00.946773 | 2019-10-29T05:20:08 | 2019-10-29T05:20:08 | 218,207,062 | 0 | 0 | null | 2022-11-22T04:18:04 | 2019-10-29T04:54:41 | JavaScript | UTF-8 | Python | false | false | 372 | py | from django.contrib import admin
# Register your models here.
from .models import Question, Answer, Plan, Description, Download, Section, FeatureCategory
admin.site.register(Question)
admin.site.register(Answer)
admin.site.register(Plan)
admin.site.register(Description)
admin.site.register(Download)
admin.site.regis... | [
"sunnosaiful@gmail.com"
] | sunnosaiful@gmail.com |
f8fbeb582f0bc1475af2524ec4a330871d14c9f0 | 98efe1aee73bd9fbec640132e6fb2e54ff444904 | /loldib/getratings/models/NA/na_maokai/__init__.py | d2c95d6f119c057f7496b2ef8fedde90603c8eda | [
"Apache-2.0"
] | permissive | koliupy/loldib | be4a1702c26546d6ae1b4a14943a416f73171718 | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | refs/heads/master | 2021-07-04T03:34:43.615423 | 2017-09-21T15:44:10 | 2017-09-21T15:44:10 | 104,359,388 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 150 | py | from .na_maokai_top import *
from .na_maokai_jng import *
from .na_maokai_mid import *
from .na_maokai_bot import *
from .na_maokai_sup import *
| [
"noreply@github.com"
] | koliupy.noreply@github.com |
c2c263958c80fabd4c1e349cb2fe676374cc2a1d | 36fc492ad0d36e9d4a4452007d57c733a84ccaac | /python_programming_drive/mixed/list/List funtion.py | 4b832abee986c92c6691bdb575dd49dc49ed18bb | [] | no_license | mahmudgithub/Core-python | 864568994490f857ba89e2c66fbf10a65a4aea98 | c37cb4218fe1e216a4e3e80544cae262582cf4b5 | refs/heads/master | 2023-04-29T02:14:47.106443 | 2021-05-14T12:36:26 | 2021-05-14T12:36:26 | 346,885,590 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,549 | py | # creat a simple list method
list=[2,3,4,5,6,7,8,9]
print(list)
mh=[2,3,4,5,6,7,8,9]
print(mh)
#list into list or sub list
list=[2,[3,[4,4,[5,5,5],4],3],3,4,5,6,7,8,9]
print(list)
# find similar cherecter in a list
list=[2,3,4,5,6,7,85,5,5,5,9]
x=list.count(5)
print("similar cherecter in list is:",x)
#find index nu... | [
"mahmudhossain838@gmail.com"
] | mahmudhossain838@gmail.com |
75b5118bb015d733e8457babdce95cce98f80cd9 | f177033785079d752502a6f91035e645b52d6416 | /env/lib/python3.7/operator.py | d2a83d688f25048acd75c31699bafd9fd6b13203 | [] | no_license | ousamasama/Django-Exercise-14 | 18d00d563e29df7804664ac33cd1de5966a10126 | ecd023c2915e5c3b85614d857c916cd6a2b36316 | refs/heads/master | 2020-04-17T19:40:05.540532 | 2019-01-24T21:22:32 | 2019-01-24T21:22:32 | 166,873,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 59 | py | /Users/sama/.pyenv/versions/3.7.1/lib/python3.7/operator.py | [
"ousamasama@gmail.com"
] | ousamasama@gmail.com |
d4b595bf7439bdd8d1befa931a7f24802be5c9ee | 4e02eefa71196aac8d62a61e3d698b1d1257a523 | /豆瓣电影词云/爬取豆瓣影评生成词云.py | 378f32ac017fa8828f836d40976b8a828b7d8472 | [] | no_license | onism7/spider | e7723f9cc8727184b0edf468c8821b57a80af501 | 5a0fe16f367876ab5f63aa7737a9e0a0efdb3b09 | refs/heads/爬虫学习 | 2023-04-04T23:59:02.385924 | 2020-07-05T15:10:08 | 2020-07-05T15:10:08 | 268,724,369 | 1 | 0 | null | 2021-03-30T12:10:27 | 2020-06-02T06:54:24 | null | UTF-8 | Python | false | false | 2,951 | py | import jieba.analyse
import re
from urllib import request
from bs4 import BeautifulSoup
from wordcloud import WordCloud
import matplotlib.pyplot as plt
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36'}
# 分析网页函数
def getNo... | [
"1125699801@qq.com"
] | 1125699801@qq.com |
6296f20f61cae4491766f0d1526cc1ef1f53687d | 26be744685a62eb921e4d27f5c98cd4dd795a5b8 | /start_gui_for_nodes.py | 31dd718d98096eecc4a2f0c238c00731633603ff | [] | no_license | AlexDobrushskiy/python_layer | 51c7b736eb8997ede2d24899020b565ca11c4153 | 5ed47f2eacf920cfb285d0763a9170abfe5f5e95 | refs/heads/master | 2023-01-11T19:57:39.854724 | 2019-03-06T11:29:03 | 2019-03-06T11:29:03 | 173,755,304 | 0 | 0 | null | 2023-01-01T05:00:06 | 2019-03-04T14:00:08 | Python | UTF-8 | Python | false | false | 1,234 | py | # -*- coding: utf-8 -*-
import multiprocessing
import logging
import sys
from core_modules.blackbox_modules.keys import id_keypair_generation_func
from core_modules.masternode_discovery import discover_nodes
from client_prototype.cefpython.cefpython import start_cefpython
def initlogging():
logger = logging.ge... | [
"a.dobrushskiy@gmail.com"
] | a.dobrushskiy@gmail.com |
696f5774d6985530bf8dfb8702b191a2694bb9eb | 8000eb88e4ebc6f4357632a58d3b2f4c67a5aa46 | /flask测试/wenjian/测试类2.py | dbbcc24aaa89cca305b6e0d4c19e1f366a3492e2 | [] | no_license | cao-xing/project | 0f38b86716bce7c8512283ee6203dff54bc17504 | 26db564c1bdb903796ae2c1213376239ae39e4c2 | refs/heads/master | 2021-09-05T01:03:45.385542 | 2018-01-23T07:58:45 | 2018-01-23T07:58:45 | 114,438,898 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 93 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def helloworld():
print("这是测试类2") | [
"38168722@qq.com"
] | 38168722@qq.com |
983aa700f8495ac6e419b73ea7de4a40ea515472 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_95/925.py | 469e68f78efb9387f7b68d65ff2ee906763fbb7b | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 523 | py | raw_alphabet = "yhesocvxduiglbkrztnwjpfmaq"
alphabet = {}
for i in xrange(len(raw_alphabet)):
alphabet[chr(ord('a') + i)] = raw_alphabet[i]
def decrypt(text):
output = ""
for c in text:
if alphabet.has_key(c):
output += alphabet[c]
elif c != "\n":
output += c
... | [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
5a5dfeb589e1fc91b46155e11a6c53bb8daeb886 | a04b5e853fda50a1af5d6d0102624770958898c4 | /piecash/core/transaction.py | 906e37a6ba0974188460364bc506004c3f3913eb | [
"MIT"
] | permissive | drummonds/piecash | 7f7aa841d6d172a8aa6e82aa2f8a377fa2cb43d1 | 82b8e5dad79a749136c9b148c35477a06b1c7692 | refs/heads/master | 2020-12-25T22:36:41.616805 | 2016-03-19T10:38:27 | 2016-03-19T10:38:27 | 53,066,050 | 0 | 0 | null | 2016-03-03T16:36:18 | 2016-03-03T16:36:18 | null | UTF-8 | Python | false | false | 19,144 | py | import datetime
import uuid
from collections import defaultdict
from decimal import Decimal
from sqlalchemy import Column, VARCHAR, ForeignKey, BIGINT, INTEGER
from sqlalchemy.orm import relation, validates, foreign
from sqlalchemy.orm.base import NEVER_SET
from .._common import CallableList, GncImbalanceError
from .._... | [
"sdementen@gmail.com"
] | sdementen@gmail.com |
783baa95357f68bfd54d8de1f7a78e0eb040e477 | d2c80cd70f3220165c7add7ed9a103c0ed1ab871 | /python/HOMEWORK/3rd-4th_Session/Answers/Class/1/T-1.py | 613da30acc5698289383cf02ced274be749c1997 | [] | no_license | nervaishere/DashTeam | 2a786af8a871200d7facfa3701a07f97230b706e | a57b34a601f74b06a7be59f2bfe503cbd2a6c15f | refs/heads/master | 2023-08-24T12:24:18.081164 | 2021-10-09T21:10:54 | 2021-10-09T21:10:54 | 393,689,874 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 54 | py | x=input("Enter first Number:")
print(int(float(x)))
| [
"athenajafari34@gmail.com"
] | athenajafari34@gmail.com |
cf68c743a79485c7d70e3f054c624e33b93dcc81 | c67627680973129e8f3cefa8778c12366a11621d | /test/unit/test_cli_utils.py | 66c58c5a02653b51c83d59eb27445f65f8f79dd7 | [
"Apache-2.0"
] | permissive | eprtvea/curator | f3fb0d5a02f3ed33c23da5153f8e192609b75f62 | f6d25bca20d66437d367956c812988c6d88431c4 | refs/heads/master | 2020-12-01T01:08:35.279466 | 2016-02-11T00:34:22 | 2016-02-11T00:34:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,565 | py | from datetime import datetime, timedelta
from unittest import TestCase
from mock import Mock
import sys
import click
from click import testing as clicktest
import logging
logger = logging.getLogger(__name__)
import curator
named_indices = [ "index1", "index2" ]
named_alias = 'alias_name'
alias_retval = { "pre_... | [
"aaron@mildensteins.com"
] | aaron@mildensteins.com |
d4179f61ac0365aa5d0843892018d942a29ed243 | e972dc486e62152981177f85b5f9cff919ac0867 | /sams/tmp/category_db.py | 744d848a0aa3b864e1139359886c0c5aed4d9f96 | [] | no_license | yeongsunpark/cute | d81b9b03f747f65bed742b10b2f9a59f69efea96 | d69f918f9a1f1d6db70bc62272fc0ce582d7bf50 | refs/heads/master | 2020-03-27T12:43:41.728918 | 2019-04-29T04:41:47 | 2019-04-29T04:41:47 | 146,564,948 | 0 | 2 | null | 2018-11-06T07:45:59 | 2018-08-29T07:52:20 | Python | UTF-8 | Python | false | false | 5,664 | py | import os, sys
import pymysql
import logging
import ys.cute.sams.ys_logger as ys_logger
import concurrent.futures
sys.path.append(os.path.abspath('..'))
logger = logging.getLogger('root')
logger.setLevel("INFO")
logger.addHandler(ys_logger.MyHandler())
logger.info("Finish setting logger")
class SquadDb():
def ... | [
"ylunar@naver.com"
] | ylunar@naver.com |
54f3b6909a21adf8a488b8156ea3dd3eff4e9bce | f2428051b3f7d77dc4cb2d61ee18cc31fe5eaa67 | /tiddlywebplugins/docs.py | 2afab067e1c13c5fcb7bb688dd7bb7e5300c03c6 | [
"BSD-3-Clause"
] | permissive | tiddlyweb/tiddlywebplugins.docs | b306ab081957c81c0f172fd2a11752f3f3252842 | af5df2369c794fea6f44ff8823f9ab0958909a80 | refs/heads/master | 2021-01-18T23:48:12.217948 | 2011-11-10T17:18:35 | 2011-11-10T17:18:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,898 | py | """
Autogenerate TiddlyWeb API docs via a serialization.
"""
from tiddlyweb.serializer import (Serializer, NoSerializationError,
TiddlerFormatError, BagFormatError, RecipeFormatError)
from tiddlyweb.serializations import SerializationInterface
from tiddlywebplugins.templates import get_template
import urllib
... | [
"chris.dent@gmail.com"
] | chris.dent@gmail.com |
44b136ab3b9b77bb0ad55b20ac6da575b4601836 | 4fca17a3dbc3e74ba7e46bd7869eb6d138e4c422 | /_1725_Number_Of_Rectangles_That_Can_Form_The_Largest_Square.py | ae7a0dd9651d89effd3109888fcae48736d25659 | [] | no_license | mingweihe/leetcode | a2cfee0e004627b817a3c0321bb9c74128f8c1a7 | edff905f63ab95cdd40447b27a9c449c9cefec37 | refs/heads/master | 2021-06-19T07:46:46.897952 | 2021-05-02T05:13:17 | 2021-05-02T05:13:17 | 205,740,338 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 252 | py | from collections import Counter
class Solution(object):
def countGoodRectangles(self, rectangles):
"""
:type rectangles: List[List[int]]
:rtype: int
"""
return max(Counter(map(min, rectangles)).items())[1]
| [
"hemingwei2017@gmail.com"
] | hemingwei2017@gmail.com |
8ca7c327e6dcb11955cc3b53b864c85fe94c2207 | f250ee8189a91b9cc12d57665dfb09a34c343d38 | /setup.py | 16512f4d5054ee5e87cb774f96dd7d384736f418 | [] | no_license | duckworthd/optim | 4abb64b74c8df32175580b70d450963dbd099865 | 510e8fb81342fb145e140194dad0957724d124f7 | refs/heads/master | 2021-01-25T08:38:39.295589 | 2014-07-21T05:22:18 | 2014-07-21T05:22:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 930 | py | from setuptools import setup, find_packages
import os
def version(name):
fname = os.path.join(name, '_version.py')
environ = {}
execfile(fname, environ)
return environ['__version__']
if __name__ == '__main__':
NAME = 'optim'
setup(
name = NAME,
version = version(NAME),
author ... | [
"duckworthd@gmail.com"
] | duckworthd@gmail.com |
99216479731815d1597e49465789a7c49782de16 | 345fdc5971db81240722901cbd1fef619b271676 | /chapter8/snippets/views.py | 4690d46532cbffce84863775e9a821a8b80a8d38 | [] | no_license | hisakin/practical-django | 093c449f42fe428320f5dce80db5b6708619e45d | a25e00d6283e1eb7a79728bbb99141f13c0f4692 | refs/heads/main | 2023-07-30T15:37:26.492059 | 2021-09-16T14:49:57 | 2021-09-16T14:49:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,637 | py | from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect, get_object_or_404
from django.http import HttpResponse
from snippets.forms import SnippetForm
from snippets.models import Snippet
def top(request):
snippets = Snippet.objects.all()
context = {"snippets": ... | [
"contact@c-bata.link"
] | contact@c-bata.link |
9819935bdeb231eee38a6eb8298167a33dd66791 | a9b24a31f27afc42736d923b7ba4df300e13a8cf | /qidian_book/start.spec | 06a4f3fef319e84fc683ec0a381d53cd51f3024f | [] | no_license | 520wsl/python-scrapy-test | 8dcb216a91c8f03266ae29d3b9590b124088eb67 | 2f93e161c849aabfe9efb90e719906c9ae5bee1c | refs/heads/master | 2022-12-13T00:47:44.177505 | 2020-05-23T05:05:57 | 2020-05-23T05:05:57 | 184,033,077 | 2 | 0 | null | 2022-12-08T05:25:05 | 2019-04-29T08:40:13 | HTML | UTF-8 | Python | false | false | 823 | spec | # -*- mode: python -*-
block_cipher = None
a = Analysis(['start.py'],
pathex=['E:\\GIT\\python-scrapy-test\\qidian_book'],
binaries=[],
datas=[],
hiddenimports=[],
hookspath=[],
runtime_hooks=[],
excludes=[],
win_... | [
"395548460@qq.com"
] | 395548460@qq.com |
3bf2cae52d2734325db33a0646b8d648195c5ee6 | 54f352a242a8ad6ff5516703e91da61e08d9a9e6 | /Source Codes/AtCoder/abc054/A/4891080.py | da5c0c65d36312ef415307fd75b5c38f13c0880a | [] | no_license | Kawser-nerd/CLCDSA | 5cbd8a4c3f65173e4e8e0d7ed845574c4770c3eb | aee32551795763b54acb26856ab239370cac4e75 | refs/heads/master | 2022-02-09T11:08:56.588303 | 2022-01-26T18:53:40 | 2022-01-26T18:53:40 | 211,783,197 | 23 | 9 | null | null | null | null | UTF-8 | Python | false | false | 185 | py | A, B = map(int, input().split())
if (A == B):
print('Draw')
elif (A == 1):
print('Alice')
elif (B == 1):
print('Bob')
elif (A > B):
print('Alice')
else:
print('Bob') | [
"kwnafi@yahoo.com"
] | kwnafi@yahoo.com |
b2b7dee8ab41cc55ea64d657f49a4921db71a32e | ffbc91f86fcb9331f124dfc3d02caa44c1c93a3a | /06_train/src/tf_bert_reviews.py | d3667fecb8be0301d3d9f8094de0f3fae0060251 | [] | no_license | Alberto2K/workshop | 69c2713712d9d042ca790bde8b919265c5716394 | ac001b604510845d45adbd97cc87a2dc702529b7 | refs/heads/master | 2021-05-25T17:47:17.506596 | 2020-04-07T05:22:02 | 2020-04-07T05:22:02 | 253,852,888 | 1 | 0 | null | 2020-04-07T16:36:34 | 2020-04-07T16:36:33 | null | UTF-8 | Python | false | false | 15,260 | py | import time
import random
import pandas as pd
from glob import glob
import argparse
import json
import subprocess
import sys
import os
import tensorflow as tf
#subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'tensorflow==2.0.0'])
subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'transformer... | [
"chris@fregly.com"
] | chris@fregly.com |
b1fa11cb1e9e3e99ea81b0ac5ea8466267d71a9a | f4ff27b8a5ab314659925eaf4be83151a1846bb5 | /cachetools_ext/fs.py | 744ff797e789a18e0a734d98e990346eb2afa9bd | [
"MIT"
] | permissive | thanakijwanavit/cachetools_ext | 0e9934ad9d264f3eb157d20973ed1c2751501e57 | 4355393d660c047ef3a286411f17795905476c91 | refs/heads/master | 2023-02-09T04:42:43.904587 | 2021-01-06T01:45:57 | 2021-01-06T01:45:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,429 | py | import datetime
import os
import pickle
import shutil
from collections.abc import MutableMapping
from pathlib import Path
from typing import Any, Optional, Union
class FSLRUCache(MutableMapping):
"""Filesystem LRU cache with optional TTL"""
def __init__(
self,
maxsize: int,
path: Opti... | [
"github@oliverrice.com"
] | github@oliverrice.com |
10a042b54434cd65b7b1f5ac8d959ac31181fc38 | a3e626f9893982c549d1f8d98237e9601c2ddfef | /importXPZcurve.py | 9ca5f8b16b7eab9faf2fd57411761780b9f48b31 | [] | no_license | richstoner/connectivity-blend | e515ef19e57179cdd30c98aa235f3feb586095c0 | dae27b67e6de58a33354b200b34cf045d37fa035 | refs/heads/master | 2020-04-25T22:20:33.640843 | 2013-09-24T18:22:36 | 2013-09-24T18:22:36 | 8,784,866 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,333 | py | print("Hello")
from mathutils import Vector
import bpy
import glob
import csv
import math
import struct
import os
import urllib.request
w=1
def clearAllCurves():
# gather list of items of interest.
candidate_list = [item.name for item in bpy.data.objects if item.type == "CURVE"]
# select t... | [
"stonerri@gmail.com"
] | stonerri@gmail.com |
59afa20535e5200ed4863696e830c84019f868a0 | 67f86bb3d09cbc86cac698b3f0abaf01457a966a | /master/nameko-master/nameko-master/test/standalone/test_event_dispatcher.py | 52657eb8d8a0c8264c82b40e327629c03d339992 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | tied/DevArtifacts | efba1ccea5f0d832d4227c9fe1a040cb93b9ad4f | 931aabb8cbf27656151c54856eb2ea7d1153203a | refs/heads/master | 2020-06-06T01:48:32.149972 | 2018-12-08T15:26:16 | 2018-12-08T15:26:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,942 | py | import pytest
from amqp.exceptions import NotFound
from mock import Mock, patch
from six.moves import queue
from nameko.amqp import UndeliverableMessage
from nameko.events import event_handler
from nameko.standalone.events import event_dispatcher, get_event_exchange
from nameko.testing.services import entrypoint_waite... | [
"alexander.rogalsky@yandex.ru"
] | alexander.rogalsky@yandex.ru |
949312734036c00781d898b942bfafcd063a4d23 | a3fba5e8ecc502ff262b737d05f5b719e1cd4148 | /SlackWorkflows.py | 87db380e13a643f85a2702bae0537fe51abd266a | [] | no_license | cthacker-udel/Python-Slack-API | 6eccfbd97d564c4d8d4325fba22fab4db721a146 | 1bee3d77c4bf3179a348e83d760284bab3c13d24 | refs/heads/master | 2023-06-16T15:23:46.224602 | 2021-07-15T06:13:51 | 2021-07-15T06:13:51 | 378,105,544 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 987 | py | from SlackClient import SlackClient
class SlackWorkflows(SlackClient):
def __init__(self):
self.workflow_step_execute_id = None
self.outputs = None
self.inputs = None
self.step_image_url = None
self.step_name = None
def generate_queries(self):
body = {}
... | [
"cthacker@udel.edu"
] | cthacker@udel.edu |
eb8e8ca7dac3dc3988a7a6219e8a6e4e15e4a9af | 0cba5529e387ba0f077b4e8ddeb96f914004f5df | /setup-gpu.py | 3bc6c47fe699a7d4a30bdddecd315bf0b0a3e42e | [
"MIT"
] | permissive | AsyrafAzlan/Malaya | dc78398ee6880578f40c5646a48882a5913217ae | 3d5166173cf74881f7a56fffaaf391813c55d4f1 | refs/heads/master | 2021-05-21T22:47:41.863857 | 2020-04-03T15:00:21 | 2020-04-03T15:00:21 | 252,841,526 | 1 | 0 | MIT | 2020-04-03T21:04:44 | 2020-04-03T21:04:44 | null | UTF-8 | Python | false | false | 1,367 | py | import setuptools
__packagename__ = 'malaya-gpu'
setuptools.setup(
name = __packagename__,
packages = setuptools.find_packages(),
version = '3.4',
python_requires = '>=3.6.*',
description = 'Natural-Language-Toolkit for bahasa Malaysia, powered by Deep Learning Tensorflow. GPU Version',
autho... | [
"husein.zol05@gmail.com"
] | husein.zol05@gmail.com |
92eaf915624d637170e3361fa06c58d5ed27e110 | 0c8a267966edd260177106beb04daad8622ba07f | /enron_dataset_project/finance_regression.py | 9419f85914fa454b4f6b9321f0eee48201439ef3 | [] | no_license | BrianSipple/Machine_Learning | 9665cec5ba9cc94e0dc06db346ddf18cff19d6a6 | f0848183dba64000ff26a32ec45e97531d2bc758 | refs/heads/master | 2021-01-19T00:44:21.123062 | 2015-02-09T04:17:40 | 2015-02-09T04:17:40 | 29,520,532 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,377 | py | #!/usr/bin/python
"""
Loads up/formats a modified version of the dataset
(modified, as in "outlier-free" for this particular exercise)
Dcatterplot of the training/testing data
"""
import numpy as np
import math
import sys
import pickle
from sklearn.cross_validation import train_test_split
sys.path.appe... | [
"Bsipple57@gmail.com"
] | Bsipple57@gmail.com |
e8d1c7aff054a58b187c129b972d475533373d3d | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/3/if9.py | eee16a6339bdc8ad546573f44e5ee7a5852583ba | [] | no_license | G4te-Keep3r/HowdyHackers | 46bfad63eafe5ac515da363e1c75fa6f4b9bca32 | fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2 | refs/heads/master | 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
... | [
"juliettaylorswift@gmail.com"
] | juliettaylorswift@gmail.com |
a34fa47c41a776883e5322039c8a4ea490ae734f | f2604a924b5cc6638dba6e246a6aea38d335f3b1 | /gym_splendor_code/envs/mechanics/splendor_observation_space.py | fab06fe86b21933bdca0b151313882be48691a6b | [
"MIT"
] | permissive | StanczakDominik/gym-splendor | 379507c066dc8756f5514c3760000bed6bf28020 | b7d6b0356d96ad1c528371f52412b81687a0ecc6 | refs/heads/master | 2020-08-28T00:38:06.076814 | 2019-10-25T13:09:17 | 2019-10-25T13:09:17 | 217,536,093 | 0 | 0 | MIT | 2019-10-25T13:09:40 | 2019-10-25T13:09:39 | null | UTF-8 | Python | false | false | 2,426 | py | from gym.spaces import Space
class SplendorObservationSpace(Space):
"""This class contains all information we want to share with the agents playing Splendor. The difference between
SplendorObservationSpace and State is that State contains all information about the state of game (including list
of cards th... | [
"tomeko314@gmail.com"
] | tomeko314@gmail.com |
35a57323cabffcc1db0210600ddf6b6b8f538a2c | 8015f1c62a2cb4efd21aa8938336913bf8117868 | /bamap/ba2727.pngMap.py | 54977ad5cb30d2621c02168724fee4cc2592bd28 | [] | no_license | GamerNoTitle/Beepers-and-OLED | 675b5e3c179df0f0e27b42bf594c43860d03b9af | afe1340e5394ae96bda5f9022a8a66824368091e | refs/heads/master | 2020-04-20T00:09:47.122471 | 2019-04-29T04:59:35 | 2019-04-29T04:59:35 | 168,515,579 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 8,468 | py | ba2727.pngMap = [
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000',
'00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000',
'0000000000000000000000000000000000000... | [
"bili33@87ouo.top"
] | bili33@87ouo.top |
ac4dad4eb9fe62c08acc70ad3022a95b11ea530d | e10a6d844a286db26ef56469e31dc8488a8c6f0e | /aptamers_mlpd/simulation/utils.py | addb9740cbb0a633a07ab031f48e0ace1eddf5c8 | [
"Apache-2.0",
"CC-BY-4.0"
] | permissive | Jimmy-INL/google-research | 54ad5551f97977f01297abddbfc8a99a7900b791 | 5573d9c5822f4e866b6692769963ae819cb3f10d | refs/heads/master | 2023-04-07T19:43:54.483068 | 2023-03-24T16:27:28 | 2023-03-24T16:32:17 | 282,682,170 | 1 | 0 | Apache-2.0 | 2020-07-26T15:50:32 | 2020-07-26T15:50:31 | null | UTF-8 | Python | false | false | 3,197 | py | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# 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 applicab... | [
"copybara-worker@google.com"
] | copybara-worker@google.com |
c98ff5d1a2f8fc0e63b88fcd46ef26943ecb54f6 | 419e095e38b0c9cf9591d0333a89de1781bf8edf | /CodeUp/6051 : [기초-비교연산] 정수 2개 입력받아 비교하기4(설명).py | 7ab36ee4b3c703e907114c32a9e3a02ec6f9214e | [] | no_license | mjxong/CodingTest | bc6b7f9e48b9ccb9ae16b6f12d611a805e978b28 | 5fc9e5f1dec6214a16658f0ff69d2d6b807dc489 | refs/heads/master | 2023-03-28T23:16:29.270628 | 2021-04-04T11:20:50 | 2021-04-04T11:20:50 | 352,362,494 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 44 | py | a, b = map(int, input().split())
print(a!=b) | [
"replituser@example.com"
] | replituser@example.com |
a7d3deb5e20d6442018c8bb519bec6820cd71cf0 | e3eead40e93fdf5186269536edefab4f08e9a5a2 | /LeetCode/393-utf8_validation.py | 9d69670d9f142e05f0ee5a6645188ff7b8527595 | [] | no_license | davll/practical-algorithms | bbc930b42363cae00ce39e8a686854c19131d334 | 0e35e4cc87bd41144b8e34302aafe776fec1b356 | refs/heads/master | 2021-08-22T13:12:34.555074 | 2020-03-28T08:56:13 | 2020-03-28T08:56:13 | 147,224,029 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,124 | py | def validate_utf8(data):
n = len(data)
i = 0
while i < n:
nb = _nsucc_bits(data[i])
if nb < 0:
return False
i += 1
for _ in range(nb):
if i < n:
if not _follow_check(data[i]):
return False
i += 1
... | [
"davll.xc@gmail.com"
] | davll.xc@gmail.com |
e88aae5ad5a2fd54f63aeec3e9e2ec2f17efeae8 | de33d709be6667a1972322fcd514edca80cfa6a0 | /snipps/check_mode.py | b20227c7ee97409be989525f4c0593c4f51b97ad | [
"MIT"
] | permissive | akshaynagpal/number_recognition | 8ecbc6affc970a9e9ffeb70cc290db9a4ed43489 | 363606205ccfe4a43320c2452c0ae0dd4e026ec2 | refs/heads/master | 2020-05-09T16:19:08.562084 | 2015-10-03T10:01:14 | 2015-10-03T10:01:14 | 30,975,567 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 150 | py | import PIL
from PIL import Image
image_name = raw_input("enter name of image to open!")
imgfile=Image.open(image_name)
print imgfile.mode
raw_input()
| [
"akshay2626@gmail.com"
] | akshay2626@gmail.com |
819d61a9de591bf744f7ebad7563c9fd8559d4dc | e8dba002d8916a468e559a52f254c0d92532d6b2 | /homeassistant/components/airnow/config_flow.py | 67bce66e1673ab24e42ba7ed70d4ad657b614040 | [
"Apache-2.0"
] | permissive | thomasgermain/home-assistant | 32b0f4d888220f4ce49dc85e506d0db39445c6c0 | 9673b93842ddcecc7e6a6d65e6d4f5b8a1089c43 | refs/heads/vaillant | 2023-08-21T23:50:24.679456 | 2020-05-20T21:01:18 | 2023-08-03T07:11:35 | 197,781,893 | 8 | 4 | Apache-2.0 | 2023-02-10T06:56:47 | 2019-07-19T13:57:53 | Python | UTF-8 | Python | false | false | 3,692 | py | """Config flow for AirNow integration."""
import logging
from pyairnow import WebServiceAPI
from pyairnow.errors import AirNowError, EmptyResponseError, InvalidKeyError
import voluptuous as vol
from homeassistant import config_entries, core, exceptions
from homeassistant.const import CONF_API_KEY, CONF_LATITUDE, CONF... | [
"noreply@github.com"
] | thomasgermain.noreply@github.com |
c6526829039453f2cd279cccdd18b6d5e6844b8a | 1ebe5a07e7f6260c2c2ceb6ca00dcf2a0341e544 | /op_impl/built-in/ai_core/tbe/impl/dynamic/slice.py | d61346ea6f4566518203eebc550f23fe6dc7f588 | [] | no_license | gekowa/ascend-opp | f5e09905336d85f9974d555d03d37a75cb8185c1 | 5c28a2faf9d2a117ea6f0923efe35fcd53904dd2 | refs/heads/master | 2023-04-09T12:14:40.337104 | 2021-04-19T23:00:59 | 2021-04-19T23:00:59 | 359,620,865 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,539 | py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of the Apache License Version 2.0.You may not use
this file except in compliance with the License.
This progra... | [
"gekowa@gmail.com"
] | gekowa@gmail.com |
51e2085c83cb053c92ea24c9e86320bb8b126d03 | 8e3a3c845ca3320483b233e8a0db4081aa3b8664 | /clases/migrations/0005_auto_20160623_0039.py | bee89b25480c363feacc339deffa53fc94c63a41 | [] | no_license | sofide/loiprocesos | 7d56398395e6f3302f4d9ec3627ed1b4c24bc17a | 4047fa02d0cfbcf744c80d59e3402215f8b294d3 | refs/heads/master | 2021-07-08T03:26:55.171459 | 2020-08-04T03:23:10 | 2020-08-04T03:23:10 | 61,167,908 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 793 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-06-23 03:39
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('grupos', '0001_initial'),
('clases', '0004_auto_2016... | [
"sofi.denner@gmail.com"
] | sofi.denner@gmail.com |
c99be8ab1fbd55dd291d94871960eb9885eac72f | f576f0ea3725d54bd2551883901b25b863fe6688 | /sdk/communication/azure-communication-email/samples/send_email_to_multiple_recipients_sample.py | 4009aaf0f805e47a8f8b3d1e2f8df2a6da58972b | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
] | permissive | Azure/azure-sdk-for-python | 02e3838e53a33d8ba27e9bcc22bd84e790e4ca7c | c2ca191e736bb06bfbbbc9493e8325763ba990bb | refs/heads/main | 2023-09-06T09:30:13.135012 | 2023-09-06T01:08:06 | 2023-09-06T01:08:06 | 4,127,088 | 4,046 | 2,755 | MIT | 2023-09-14T21:48:49 | 2012-04-24T16:46:12 | Python | UTF-8 | Python | false | false | 3,050 | py | # coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------... | [
"noreply@github.com"
] | Azure.noreply@github.com |
77ba68c5ea388336d8038d5e9e64d2d07a52abb5 | 5342c87436c514f6428524d8f9fca33f6745a791 | /ros2cli/ros2param/ros2param/verb/get.py | 1a7c3f1943742ebee688e9b2ed5beb9385c2aec3 | [
"Apache-2.0"
] | permissive | hfz-Nick/ROS | 9d64cb220539a29c65fb6ae8ae0f5e42c5ad955b | 1c8909c9709a0cbaed7f3084557ee4c3fb1ff380 | refs/heads/main | 2022-12-28T05:01:44.255695 | 2020-10-10T01:24:43 | 2020-10-10T01:24:43 | 302,788,188 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,227 | py | # Copyright 2018 Open Source Robotics Foundation, 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... | [
"you@example.com"
] | you@example.com |
681cb012173559ca0073167310544329505a424b | a7266a2c39e309bdc0fdd4c771942412465d0fb5 | /McCoy Group Code Academy/Exercises/LegendreDVR.py | 308ba21907ec13ef8c94b648285571a964cb0c65 | [] | no_license | McCoyGroup/References | 68a930280e865d3efd4d7d29d7a961126258494d | 7bcf80bebfed92f7967135cc909e7280b2365680 | refs/heads/gh-pages | 2023-04-28T11:24:37.881869 | 2022-08-18T15:38:31 | 2022-08-18T15:38:31 | 127,345,918 | 1 | 6 | null | 2023-04-12T05:21:47 | 2018-03-29T20:49:01 | Mathematica | UTF-8 | Python | false | false | 534 | py | # THIS IS A PLACEHOLDER: AS WE ADD THINGS WE'LL FILL THIS OUT
"""
Goal: ...
Fundamentals: ... (Comma-separated list)
Related Exercises: ... (Comma-separated list)
"""
## Imports: put all import statments here
## Exports: put all the names things we might want to use in other scripts here
__all__ = [
]
## Objects: p... | [
"b3m2a1@gmail.com"
] | b3m2a1@gmail.com |
ddab472e1041d209d6ee9169203e5b8e135d0abe | bd3a1843e2b0dc15837628c77f73e95a9bb1264f | /PyFunceble/helpers/file.py | 9f4d1b0cfbd3975feb10c42d58ddc346c3e4026d | [
"Apache-2.0"
] | permissive | funilrys/PyFunceble | 404c64d1b281d4ae06a939b54f4088d63e12b828 | 214a57d0eca3df7c4ed3421937aaff9998452ba6 | refs/heads/dev | 2023-06-24T18:39:29.372775 | 2023-06-18T13:15:39 | 2023-06-18T13:15:39 | 106,995,518 | 267 | 62 | Apache-2.0 | 2023-08-25T16:05:17 | 2017-10-15T08:25:14 | Python | UTF-8 | Python | false | false | 6,582 | py | """
The tool to check the availability or syntax of domain, IP or URL.
::
██████╗ ██╗ ██╗███████╗██╗ ██╗███╗ ██╗ ██████╗███████╗██████╗ ██╗ ███████╗
██╔══██╗╚██╗ ██╔╝██╔════╝██║ ██║████╗ ██║██╔════╝██╔════╝██╔══██╗██║ ██╔════╝
██████╔╝ ╚████╔╝ █████╗ ██║ ██║██╔██╗ ██║██║ █████╗ █... | [
"contact@funilrys.com"
] | contact@funilrys.com |
82ce73e6415e6d017e3700546ee09e7625280e80 | 3c114c083af073421fc0becfa4b4471ba1d77de5 | /google/sparse_matrix.py | 0dd73b7847553e67b60991e24b0e2ed383dac254 | [] | no_license | alonsovidales/interview_questions | 99f757c7e35c5ede450be25d3bebd54a18b1312b | 5e63e238950c2f6bdfd3ff48311d6c69a676d382 | refs/heads/master | 2021-01-17T12:06:48.419891 | 2018-03-25T08:44:14 | 2018-03-25T08:44:14 | 30,909,319 | 6 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,795 | py | """
Given a sparse matrix, implement below two methods:
void set(int row, int col, int val) /*Update value at given row and col*/
int sum(int row, int col) /*give sum from top left corner to given row, col sub-matrix*/
"""
class SortedArray(object):
def __init__(self):
self._dirty = False
... | [
"alonso.vidales@tras2.es"
] | alonso.vidales@tras2.es |
9a13592fb7c388eae0315d097c09293ad3beca18 | 238c16de19b2b5928eeba6ca35abffdbfaa961e4 | /tests/conftest.py | d730fbb8a3dfcce7244fa8d564c373d6d0aec9b9 | [] | no_license | multiscripter/random-phrase-fastapi | dd7637d25ea7326659d8dfb7925697ab37d14c8f | 5cba715f898309530fa393a4cf434d45725ba6ed | refs/heads/master | 2022-12-28T23:35:08.435193 | 2020-09-28T21:00:18 | 2020-09-28T21:00:18 | 299,430,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 696 | py | import pytest
from Database import Database
from db import PhraseInput
@pytest.hookimpl()
def pytest_sessionstart(session):
"""Actions before all tests."""
db = Database()
for a in range(1, 4):
data = {
'author': f'test-author-{a}',
'text': f'test-text-{a}'
}
... | [
"ILL-JAH@yandex.ru"
] | ILL-JAH@yandex.ru |
20b01ef20b8f2d6b57de84d0d28e2bc0e71557c9 | e707164df1aa8edb5d276179538bd1eb1805f759 | /CODE/fedora_application/env/lib/python2.7/site-packages/rube/core/__init__.py | fcfa0e415c10c22ed928fa448f8bd7ebcccd9801 | [] | no_license | beckastar/cleaner_markov | af5816c14c94a8cb7924728179470e7db9ed2bc0 | a6de3fd87db77c0d80789cbce0ff409c222b4e67 | refs/heads/master | 2021-01-02T22:52:08.989862 | 2013-11-10T04:51:04 | 2013-11-10T04:51:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,358 | py | # -*- coding: utf-8 -*-
# This file is part of Rube.
#
# Rube 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 3 of the License, or
# (at your option) any later version.
#
# Rube is distributed i... | [
"rebecca.robbins.et@gmail.com"
] | rebecca.robbins.et@gmail.com |
e170d3ca2867026517e00e298e216461dc4fc6e2 | a9dc42e9f54b549fcdd695817e347abfd8f2869f | /old/bin/clt_ar5_model_data_preprocess.py | 55d61322a3a3fb5d7b12531f576a4c10c6755c4c | [
"MIT"
] | permissive | yusheng-wang/downscale | 2e77d070115ead3034c154d29f1c533976228f13 | 3fe8ea1774cf82149d19561ce5f19b25e6cba6fb | refs/heads/master | 2023-04-10T03:25:08.806859 | 2019-09-21T17:34:35 | 2019-09-21T17:34:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,238 | py | #!/usr/bin/python2
# #
# pre-processing of raw downloaded CMIP5 data from the PCMDI portal to something that is standardized for
# use in later downscaling to ALFRESCO AK/Canada extent and resolution needs.
# # # # #
def group_input_filenames( prefix, root_dir ):
import fnmatch, functools, itertools, os, glob
imp... | [
"lindgren.mike@gmail.com"
] | lindgren.mike@gmail.com |
6a39bf88ed26fd334ca58f0d9fa50928ff9d0a6a | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_1/208.py | 3cff053a0d8355a115d24f870f7da1280b84ee66 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 754 | py | #!/usr/bin/python
import sys
def handle_case(case_no, engiens, words):
saw ={}
answer = 0
for w in words:
if w not in saw.keys():
if len(saw.keys()) == (len(engiens)-1):
answer+=1
saw = {}
saw[w] = 1
print "Case #%d: %s" % (case_no, answer)
def main():
filename = sys.argv[1]
fsock = open... | [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
aec1b46ee90e6ad349ec1ef3880aafad45dd2339 | 2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae | /python/python_17926.py | 3f65a0747b3ebe817fa6bb84dae8bed99654f41d | [] | no_license | AK-1121/code_extraction | cc812b6832b112e3ffcc2bb7eb4237fd85c88c01 | 5297a4a3aab3bb37efa24a89636935da04a1f8b6 | refs/heads/master | 2020-05-23T08:04:11.789141 | 2015-10-22T19:19:40 | 2015-10-22T19:19:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 137 | py | # Django-Models: TypeError: coercing to Unicode: need string or buffer, User found
def __unicode__(self):
return '%s' % (self.user)
| [
"ubuntu@ip-172-31-7-228.us-west-2.compute.internal"
] | ubuntu@ip-172-31-7-228.us-west-2.compute.internal |
9558aff2a7a109b33beb176497844e5998bf15cd | d88397be1c6a31985bc2283280e743fd3b988dd1 | /beta/examples/tensorflow/common/optimizer.py | ebf3e1b4079c43f388b1f9256596c3a7c9103cec | [
"Apache-2.0"
] | permissive | sshyran/openvino-nncf-pytorch | f5e09066a216fa786927937a91a0e6742f347660 | fd02652950cd803a36f5283f5a5df999bb45433b | refs/heads/develop | 2023-04-18T06:58:54.646669 | 2021-03-12T15:41:39 | 2021-03-12T15:41:39 | 347,374,166 | 0 | 0 | Apache-2.0 | 2023-04-03T23:52:21 | 2021-03-13T13:11:32 | null | UTF-8 | Python | false | false | 3,837 | py | """
Copyright (c) 2020 Intel Corporation
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 writin... | [
"noreply@github.com"
] | sshyran.noreply@github.com |
234c2b61255e3d404e666a25ecc316deb34ed85f | 148072ce210ca4754ea4a37d83057e2cf2fdc5a1 | /src/core/w3af/w3af/core/data/kb/vuln_templates/tests/test_base_template.py | 8108d8d84b9422931d1e1c5e55f63f073e4fecaa | [] | no_license | ycc1746582381/webfuzzer | 8d42fceb55c8682d6c18416b8e7b23f5e430c45f | 0d9aa35c3218dc58f81c429cae0196e4c8b7d51b | refs/heads/master | 2021-06-14T18:46:59.470232 | 2017-03-14T08:49:27 | 2017-03-14T08:49:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,586 | py | """
test_base_template.py
Copyright 2012 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af 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 version 2 of the License.
w3af is distributed in the ho... | [
"everping@outlook.com"
] | everping@outlook.com |
7eff3f83f034b7bb0330f386c24b489e1bcf3e28 | 45ddd3d0d568b3d28c25c2023839933496753d52 | /Bai34-multitaskLearning/predict.py | d2f931a016260ca73f857a1c73eacd52fe4fb4e6 | [] | no_license | phamdinhkhanh/khanhBlogTurtorial | 7d65259066b1eb6f48a2c7ef78840005d61c9fdb | 0685ef989f72057581b0268bd6c9e01981833549 | refs/heads/master | 2022-12-13T08:30:18.866016 | 2020-05-05T01:26:44 | 2020-05-05T01:26:44 | 248,902,988 | 21 | 20 | null | 2022-12-12T11:57:04 | 2020-03-21T03:57:22 | Jupyter Notebook | UTF-8 | Python | false | false | 2,173 | py | # USAGE
# python predict.py --model fashion_multitask_learning.h5 --labelbin mlb.pkl --image examples/example_01.jpg
# import the necessary packages
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.models import load_model
import numpy as np
import argparse
import pickle
import cv2
i... | [
"phamdinhkhanh.tkt53.neu@gmail.com"
] | phamdinhkhanh.tkt53.neu@gmail.com |
b53181ff1835a17047d6c94d41b850630c4e82a4 | a08d85552ed0db1a906c3b31ed99f56bae857c60 | /PythonCourse/d2e2.py | fd961bf13b6f7ec843e3d610fd509829890c3ca1 | [] | no_license | MagdalenaZZ/Python_ditties | 90866e53f9aafa603f05735e2ceb094cf5518a18 | 757d8de1df0e53d38d4ba9854b092eabe6ec6570 | refs/heads/master | 2023-02-20T12:23:09.778092 | 2023-02-07T10:06:55 | 2023-02-07T10:06:55 | 136,293,051 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 140 | py |
def maximum (x,y):
"""Assumes two numbers and returns the biggest one"""
if x > y:
return x
else:
return y
| [
"magz@MacBook-Air.local"
] | magz@MacBook-Air.local |
2d0464c5c1df613a7ff2b22103ad294d1b865050 | dc3f29ca73e30f449cb991fa48575a8420f75099 | /homeassistant/components/energy/data.py | e8c62da0c3c8dad4e0a9c5c9cfb718c24951c1c3 | [
"Apache-2.0"
] | permissive | EverythingSmartHome/core | 16951da19d63f0eec80715ec47e2ba7bad329c0b | 2169d839ce24c6e2b9fa215c5cabbd48b8a4022f | refs/heads/dev | 2023-01-07T14:52:07.206460 | 2022-07-13T09:08:23 | 2022-07-13T09:08:23 | 513,561,926 | 2 | 0 | Apache-2.0 | 2022-07-13T14:51:08 | 2022-07-13T14:51:07 | null | UTF-8 | Python | false | false | 9,493 | py | """Energy data."""
from __future__ import annotations
import asyncio
from collections import Counter
from collections.abc import Awaitable, Callable
from typing import Literal, TypedDict, Union
import voluptuous as vol
from homeassistant.core import HomeAssistant, callback
from homeassistant.helpers import config_va... | [
"noreply@github.com"
] | EverythingSmartHome.noreply@github.com |
d74048100f3b874b0c1191d48651eb82d6953fb7 | 0b01cb61a4ae4ae236a354cbfa23064e9057e434 | /alipay/aop/api/request/AlipayOfflineMarketItemCreateRequest.py | d128c457124aef847e52dc2a5b9295ed9ab29ad2 | [
"Apache-2.0"
] | permissive | hipacloud/alipay-sdk-python-all | e4aec2869bf1ea6f7c6fb97ac7cc724be44ecd13 | bdbffbc6d5c7a0a3dd9db69c99443f98aecf907d | refs/heads/master | 2022-11-14T11:12:24.441822 | 2020-07-14T03:12:15 | 2020-07-14T03:12:15 | 277,970,730 | 0 | 0 | Apache-2.0 | 2020-07-08T02:33:15 | 2020-07-08T02:33:14 | null | UTF-8 | Python | false | false | 3,973 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayOfflineMarketItemCreateModel import AlipayOfflineMarketItemCreateModel
class AlipayOfflineMarketItemCreateRequest(object):
... | [
"liuqun.lq@alibaba-inc.com"
] | liuqun.lq@alibaba-inc.com |
f687f0ca5526f5ba9070037e195218aa01be0a95 | 339cc015ad260661e02ad32fe229807988a92487 | /accounting_addons/accounting_addons/accounting_addons/doctype/asset_depreciation_record/asset_depreciation_record.py | 172e3396e7b5bb0fe5bda91c2abe72601df8ee71 | [
"MIT"
] | permissive | bobzz-zone/gsi_accounting_addons | 009448596ca6ca114af27f0bdf35744f2835616b | 373ef3c7e8179fb7e4d003e8f4b809b36c4cfe1d | refs/heads/master | 2016-09-10T12:04:49.737175 | 2015-05-07T10:18:48 | 2015-05-07T10:18:48 | 35,213,204 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 264 | py | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Myme and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
class AssetDepreciationRecord(Document):
pass
| [
"bobzz.zone@gmail.com"
] | bobzz.zone@gmail.com |
5a5ebf5680766142d1db98840c1843d5352700ce | ca23b411c8a046e98f64b81f6cba9e47783d2584 | /tf3d/layers/sparse_voxel_net_utils.py | 5677106a3dbd588759d3ffad675295a2bbcc8a37 | [
"CC-BY-4.0",
"Apache-2.0"
] | permissive | pdybczak/google-research | 1fb370a6aa4820a42a5d417a1915687a00613f9c | 0714e9a5a3934d922c0b9dd017943a8e511eb5bc | refs/heads/master | 2023-03-05T23:16:11.246574 | 2021-01-04T11:30:28 | 2021-01-04T11:30:28 | 326,629,357 | 1 | 0 | Apache-2.0 | 2021-02-01T12:39:09 | 2021-01-04T09:17:36 | Jupyter Notebook | UTF-8 | Python | false | false | 18,211 | py | # coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# 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 applicab... | [
"copybara-worker@google.com"
] | copybara-worker@google.com |
e21d1e7bd1e31a11a1e66fd19884aee67580be4b | 5a4436884af5341ce855c0e84866b972a0f61c05 | /day4/classes/extras/syntax/5.py | 12b982042e027fe646d8e1ee85c066ce603ac8af | [] | no_license | sreejithev/pythoncodes | 74a420c4f025b893e27f17ba85632a4a096f17fd | 70df14871a9687916d1c4ada76c055607f13e8ce | refs/heads/master | 2021-01-21T20:59:47.056167 | 2017-06-19T09:43:17 | 2017-06-19T09:43:17 | 92,292,259 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 52 | py | class foo:
x = 1
f = foo()
f.x = 10
print foo.x
| [
"sreejithevwyd@gmail.com"
] | sreejithevwyd@gmail.com |
652711257a3cd0e0ebee83693a0c9cef26803857 | a6390e0bbd5a7070c0abd2504afecc8ef6028997 | /indigo/nn/input.py | 4563f18522af8de264df296082c45aff9c167847 | [] | no_license | mlberkeley/indigo | 2f287a82c939a9d0adc41db23e59ae777fc88466 | c155b16265f13d87be0108fcf815517491b93a74 | refs/heads/master | 2021-06-14T01:21:06.702854 | 2020-05-22T08:10:47 | 2020-05-22T08:10:47 | 254,468,158 | 4 | 0 | null | 2020-04-09T20:08:16 | 2020-04-09T20:08:16 | null | UTF-8 | Python | false | false | 3,142 | py | from dataclasses import dataclass
from typing import Any
import tensorflow as tf
@dataclass
class AttentionInput(object):
"""Fields of a data class for computing multihead attention
in indigo.variables.attention.Attention
Arguments:
queries: tf.Tensor
the Queries tensor in a mul... | [
"brandon@btrabucco.com"
] | brandon@btrabucco.com |
89a494a1ece606add63023592b124bfaf796cc21 | ebec8b55938903f97f66bc3629ce73db177b8bcc | /ultimatewebsite/members/forms.py | 2a879513f03f4cc84b77452c291fb16db54bd212 | [
"MIT"
] | permissive | NischalLal/class-ultimate-classof2020 | 284788f87c95e4889b10c2f9072c8e16daf15c4d | c069dc7211a640267e35c2e956ad9440a03e1ab8 | refs/heads/master | 2021-04-25T23:30:12.434127 | 2017-10-17T08:27:53 | 2017-10-17T08:27:53 | 107,240,286 | 1 | 0 | MIT | 2020-10-04T05:44:04 | 2017-10-17T08:32:21 | CSS | UTF-8 | Python | false | false | 2,464 | py | from django import forms
from members.models import Member
class MemberForm(forms.ModelForm):
favourite_quote = forms.CharField(
widget = forms.Textarea)
class Meta:
model = Member
fields = ('full_name', 'image', 'phone_number', 'email', 'hometown',
'favourite_quote', 'bio'... | [
"aakrist666@gmail.com"
] | aakrist666@gmail.com |
e60f622fd08209dd0fccd070ecab295d750160cd | 03ec2daac0989f9b6936b1e87d8ca1b0d99f1bce | /optfn/plastic_linear.py | 58257991529ef71676ed0cdc4dd2f255adf46f1a | [] | no_license | SSS135/optfn | f7364dce8c1857baa90d2d6564316762c574a9ba | 48ae4f5439daa89ac54921a7642e612838c724eb | refs/heads/master | 2020-05-29T15:21:38.827291 | 2020-04-29T17:51:09 | 2020-04-29T17:51:09 | 189,217,719 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,014 | py | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
class PlasticLinear(nn.Module):
def __init__(self, in_features, out_features, bias=True, single_plastic_lr=False, initial_plastic_lr=0.1, oja_rule=True):
super().__init__()
self.in_features = in_features
self.ou... | [
"sss13594@gmail.com"
] | sss13594@gmail.com |
01c8f82a0e2570725b639af3a837aed5c0198892 | 3b504a983f1807ae7c5af51078bfab8c187fc82d | /client/gui/HudElements/ForestallingPoint.py | 79091f51fde6a17f9469bf38b316f591b2728d8a | [] | no_license | SEA-group/wowp_scripts | 7d35fd213db95ea6b3dbd1ec6d3e0f13de86ba58 | 2fe54a44df34f2dcaa6860a23b835dcd8dd21402 | refs/heads/master | 2021-09-07T23:10:13.706605 | 2018-03-02T17:23:48 | 2018-03-02T17:23:48 | 117,280,141 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,554 | py | # Embedded file name: scripts/client/gui/HudElements/ForestallingPoint.py
import BigWorld
import GUI
from consts import *
from gui.HUDconsts import *
from EntityHelpers import isAvatar, isTeamObject
class ForestallingPoint:
def __init__(self, offsetMtx):
self.__offsetMtx = offsetMtx
self.__centerP... | [
"55k@outlook.com"
] | 55k@outlook.com |
aeb2278cba6e6f5ab83eeea7a5279fdb438b5902 | b66e70a8bb3c53595acd01dceb23298694884b67 | /cloudy/settings/base.py | e14d1c5960cb86cbbfc54a2d682480988098d21e | [] | no_license | flupke/cloudy-release | d7735a38d79f816c52da3d983c714512a32919b1 | 6b160188a7067f125b107eb68dc8db4bbb4bfdf4 | refs/heads/master | 2016-09-06T05:23:40.856287 | 2013-02-23T18:17:16 | 2013-02-23T18:17:16 | 8,377,854 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,892 | py | import os.path as op
ROOT_DIR = op.abspath(op.join(op.dirname(__file__), '..'))
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', 'your_email@example.com'),
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2', # Add 'postgresql_psycopg2', ... | [
"luper.rouch@gmail.com"
] | luper.rouch@gmail.com |
808a9f59c4c857fb35b4ea766f82d0994b5016fd | bf1e6aa6ee7687363427c87b7e5bef1d157410fc | /backend/chat/api/v1/serializers.py | 4a6ada475bba6fc32ca69b58440701201883d804 | [] | no_license | crowdbotics-apps/chatme-27551 | 8cee7a31badc71575ba7c1a31c9d8638dadacd08 | 9c10dd5c0413ab2e10ffde4c8b90f650464cfa45 | refs/heads/master | 2023-05-04T12:18:31.110095 | 2021-05-29T10:40:55 | 2021-05-29T10:40:55 | 371,938,649 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 955 | py | from rest_framework import serializers
from chat.models import (
MessageAction,
ThreadMember,
Thread,
Message,
ThreadAction,
ForwardedMessage,
)
class ForwardedMessageSerializer(serializers.ModelSerializer):
class Meta:
model = ForwardedMessage
fields = "__all__"
class Th... | [
"team@crowdbotics.com"
] | team@crowdbotics.com |
352b6484d41dbe8b4caa795e4a050a3a6b7cc7aa | 553b34a101c54090e68f540d96369ac7d5774d95 | /python/python_koans/python2/koans/about_new_style_classes.py | 99f39683a5ef5d804c5ed0b6d1160ab2d6b98939 | [
"MIT"
] | permissive | topliceanu/learn | fd124e1885b5c0bfea8587510b5eab79da629099 | 1c5b1433c3d6bfd834df35dee08607fcbdd9f4e3 | refs/heads/master | 2022-07-16T19:50:40.939933 | 2022-06-12T15:40:20 | 2022-06-12T15:40:20 | 21,684,180 | 26 | 12 | MIT | 2020-03-26T20:51:35 | 2014-07-10T07:22:17 | JavaScript | UTF-8 | Python | false | false | 2,466 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from runner.koan import *
class AboutNewStyleClasses(Koan):
class OldStyleClass:
"An old style class"
# Original class style have been phased out in Python 3.
class NewStyleClass(object):
"A new style class"
# Introduced in Python... | [
"alexandru.topliceanu@gmail.com"
] | alexandru.topliceanu@gmail.com |
6f5712a2576ccb525f3600b7f0802178c4a366d1 | 32c56293475f49c6dd1b0f1334756b5ad8763da9 | /google-cloud-sdk/lib/googlecloudsdk/command_lib/compute/machine_types/flags.py | 7446d105ac181ce93490efa9f4adda4468ca2080 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | bopopescu/socialliteapp | b9041f17f8724ee86f2ecc6e2e45b8ff6a44b494 | 85bb264e273568b5a0408f733b403c56373e2508 | refs/heads/master | 2022-11-20T03:01:47.654498 | 2020-02-01T20:29:43 | 2020-02-01T20:29:43 | 282,403,750 | 0 | 0 | MIT | 2020-07-25T08:31:59 | 2020-07-25T08:31:59 | null | UTF-8 | Python | false | false | 1,181 | py | # -*- coding: utf-8 -*- #
# Copyright 2017 Google LLC. 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... | [
"jonathang132298@gmail.com"
] | jonathang132298@gmail.com |
c149c43ee2040d9c4aa7f7048a612c1e6297266f | 83280aa17b415138a6f55edf9cedfdd9a45916a2 | /src/stochastic_review/cli.py | 3f05a48e626b05227ae1806c286b518dadf3e258 | [] | no_license | RubenBranco/Stochastic-Continuous-Review | dfea2b55b7c8f0d41eac289b76b1d28ced31d0ce | 9015ebe6adfc6b812cb83c2b9df06fd3d20b6fcc | refs/heads/master | 2020-05-01T12:31:50.531958 | 2019-04-28T16:50:38 | 2019-04-28T16:50:38 | 177,467,859 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,161 | py | from bullet import SlidePrompt, Bullet, Numbers
DISTRIBUTIONS = [
'Uniform',
'Normal',
]
cli = SlidePrompt(
[
Bullet(prompt="Choose the distribution(Y)", choices=DISTRIBUTIONS),
Numbers(prompt="Distribution mean(μ) / Starting point(a): ", type=float),
Numbers(prompt="Distribution... | [
"ruben.branco@outlook.pt"
] | ruben.branco@outlook.pt |
993d08a77bcc43f54ee71a7c8ec0e59ae70641c2 | bb150497a05203a718fb3630941231be9e3b6a32 | /framework/api/nn/test_hardsigmoid.py | f591329d91524bb078a0d9157a65d000a22cedf6 | [] | no_license | PaddlePaddle/PaddleTest | 4fb3dec677f0f13f7f1003fd30df748bf0b5940d | bd3790ce72a2a26611b5eda3901651b5a809348f | refs/heads/develop | 2023-09-06T04:23:39.181903 | 2023-09-04T11:17:50 | 2023-09-04T11:17:50 | 383,138,186 | 42 | 312 | null | 2023-09-13T11:13:35 | 2021-07-05T12:44:59 | Python | UTF-8 | Python | false | false | 1,588 | py | #!/bin/env python
# -*- coding: utf-8 -*-
# encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
"""
test_hardsigmoid
"""
from apibase import APIBase
from apibase import randtool
import paddle
import pytest
import numpy as np
class TestHardsigmoid(APIBase):
"""
test
"""
def hook(self):
"""
... | [
"noreply@github.com"
] | PaddlePaddle.noreply@github.com |
6973cb6fad77d9866816625849943c3739ebab02 | 45870a80cbe343efe95eb9e8d0bd47c8c88353d1 | /特殊的函数/venv/Lib/site-packages/tensorflow/tools/api/generator/api/gfile/__init__.py | d15998ef1791b0b3d2441ba82e50f147a68d311d | [] | no_license | pippichi/IntelliJ_PYTHON | 3af7fbb2c8a3c2ff4c44e66736bbfb7aed51fe88 | 0bc6ded6fb5b5d9450920e4ed5e90a2b82eae7ca | refs/heads/master | 2021-07-10T09:53:01.264372 | 2020-07-09T13:19:41 | 2020-07-09T13:19:41 | 159,319,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,154 | py | """Imports for Python API.
This file is MACHINE GENERATED! Do not edit.
Generated by: tensorflow/tools/api/generator/create_python_api.py script.
"""
from tensorflow.python.lib.io.file_io import copy as Copy
from tensorflow.python.lib.io.file_io import create_dir as MkDir
from tensorflow.python.lib.io.file_io i... | [
"874496049@qq.com"
] | 874496049@qq.com |
dab2470950559095359d56daae0b4daa36f036d0 | 91d1a6968b90d9d461e9a2ece12b465486e3ccc2 | /ec2_write_1/vpc-endpoint_modify.py | 30909794ef3620c2cf2d203628e316109fd9fca1 | [] | no_license | lxtxl/aws_cli | c31fc994c9a4296d6bac851e680d5adbf7e93481 | aaf35df1b7509abf5601d3f09ff1fece482facda | refs/heads/master | 2023-02-06T09:00:33.088379 | 2020-12-27T13:38:45 | 2020-12-27T13:38:45 | 318,686,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,180 | py | #!/usr/bin/python
# -*- codding: utf-8 -*-
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from common.execute_command import write_one_parameter
# url : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/ec2/modify-vpc-endpoint.html
if __name__ == '__m... | [
"hcseo77@gmail.com"
] | hcseo77@gmail.com |
80135a8618b6f09f9c83cb98b5780e5a7adbdbb3 | 479924396152c6e6fe3de74fd46b16fbd8edeeec | /gui/qt/masternode_widgets.py | 84918a40f4bb5aec15b7c8c649122478a9255084 | [
"MIT"
] | permissive | pookieq/electrum-axe | 09d4601e97cbbd07ff69fb7369f8451f75f09b7f | a59028af29998bd91380d5fb46a062f6cac0a4af | refs/heads/master | 2021-09-09T09:46:53.164068 | 2018-03-14T21:20:54 | 2018-03-14T21:20:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,951 | py | """Masternode-related widgets."""
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from electrum_axe import bitcoin
from electrum_axe.bitcoin import COIN
from electrum_axe.i18n import _
from electrum_axe.masternode import NetworkAddress, MasternodeAnnounce
import util
def masternode_status(status):
"""Get a... | [
"slowdive@me.com"
] | slowdive@me.com |
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