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360ba0b1b762d53dadf4c5dd5863880fcc1a54a8 | e1c9acaa95b467a08483ff1d3cb1d4b145b68967 | /main.py | ef8c063cac066699603ede049d23a071b88b264f | [] | no_license | FredericStraub/CalendarApp | de7e172dc0bddd80619cc51ee2496f64afd44553 | 9936762042f99508af39be36744501ea1e04c010 | refs/heads/main | 2023-02-27T05:25:24.422060 | 2021-02-04T21:21:23 | 2021-02-04T21:21:23 | 336,084,362 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,078 | py | from kivymd.app import MDApp
from kivy.lang import Builder
from kivymd.theming import ThemeManager
from kivy.uix.boxlayout import BoxLayout
from kivymd.uix.picker import MDDatePicker, MDThemePicker, MDTimePicker
from kivymd.uix.expansionpanel import MDExpansionPanel, MDExpansionPanelThreeLine
import datetime
... | [
"noreply@github.com"
] | FredericStraub.noreply@github.com |
f0d3b443e3d1229ac55830a7ca6100f493115d2a | 1b10d96758c45e1746d8ca69b3222fc90aae012e | /document_validation/models/models.py | 48a7d794822bf31d1b290260068d3872d2e7d86f | [] | no_license | hassanfadl/livedhalts | 1565e3b9dec1b470c1700b90c927724cf02a99ae | dab87ade79a97b616fda3b52c38b2cea695ee4d5 | refs/heads/main | 2023-06-29T04:29:34.679643 | 2021-07-15T11:11:43 | 2021-07-15T11:11:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 649 | py | # -*- coding: utf-8 -*-
from odoo import models, fields, api,_
from odoo.exceptions import ValidationError, UserError
class DocumentAttachmentCustomValidate(models.Model):
_inherit = "ir.attachment"
@api.model_create_multi
def create(self, vals_list):
if len(vals_list) > 0 and 'name' in vals_list... | [
"noreply@github.com"
] | hassanfadl.noreply@github.com |
dc0e48787640ae04b76fedf2b7227688743ab729 | 05bcad1eee910ef13272ffbda397066ac09a6078 | /books/data/urls.py | c618829e59bff176ff323b0e2df348873df3284b | [] | no_license | Erlan1998/python_group_7_exam_6_Erlan_Kurbanaliev | 9aa0f5c36a7101ffb949d40f0b996fb0400fc52c | aaa88e7a1aae29485512bfd6980e1e6b5242e1f0 | refs/heads/master | 2023-03-13T20:28:19.395508 | 2021-03-06T12:38:42 | 2021-03-06T12:38:42 | 345,087,063 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,170 | py | """data URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vi... | [
"kurbanalieverlan@gmail.com"
] | kurbanalieverlan@gmail.com |
aaf627500a44341044bdd665ff30927d5f3938fe | ef9f3550249b961fbe43f1bc7e581cbb80a50063 | /dict_and_list_random_access/run.py | 0ad00ed631dadf32ef8e01ddcf0a6bc4cef87d9a | [] | no_license | fatowl-dev/python_performance_test | 08efe5fa77bf0bbb5ffa9f9306bc228a39b16703 | 53c6d340be11e51d5100214e077ad02b13f6af0c | refs/heads/master | 2020-12-14T13:36:53.806073 | 2020-01-18T18:06:49 | 2020-01-18T18:06:49 | 234,760,459 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,688 | py | # list、dict ランダムアクセス速度比較
import random
import string
import gc
N = 100 # 試行回数
REF_COUNT = 100000 # 1回の試行で参照する回数
ITEM_COUNT = 100 # アイテム数
KEY_LENGTH = 32 # 辞書のキーの長さ
SLEEP_TIME = 0.1 # 試行前の待ち時間（なぜかこれを入れないとおかしな値になる)
list_results = []
dict_results = []
# 辞書のキーを作成する
keys = []
for i in range(ITEM_... | [
"kingyo.summer.japan@gmail.com"
] | kingyo.summer.japan@gmail.com |
921817ab1c99956af4f567eedbe80116edbdde30 | 4464aa9d3c42a20caf7b769d39015d439d856c48 | /pypm/utils/evaluate.py | 145f0b5145f8febefcff15b8808f19c9e017a470 | [
"MIT"
] | permissive | Yansf677/PyPM | 070e49d6cd69f5d5b51ead1cdb45c847e9532007 | 3012416aa04bb10f88689c2745702c71858bbe24 | refs/heads/master | 2022-10-25T01:22:21.835663 | 2020-06-16T14:54:00 | 2020-06-16T14:54:00 | 267,231,636 | 2 | 2 | MIT | 2020-05-28T07:54:14 | 2020-05-27T05:45:30 | Python | UTF-8 | Python | false | false | 613 | py | # -*- coding: utf-8 -*-
def detective_rate(statistic, threshold):
"""
function to calculate detective rate
parameters
----------
statistic:
statistics of testing data
threshold:
threshold by the offline data
return
------
fault detective rate or false... | [
"13122282826@163.com"
] | 13122282826@163.com |
42e4e64761ede6a73a14b630e8b5611c15e53445 | 58c5ea755a8e37b90534432593b12e7039ad06b4 | /puppet_gui/src/puppet_gui/actions/ActionSet.py | 64b9ada092326831300a39b0f8b91732f5f9863b | [] | no_license | ros-visualization/puppet | d40f5e3b15781f8aacf8444035edff770ab3d8f2 | 621342735092f86a205826a75d0d27ffdf07f168 | refs/heads/master | 2023-08-30T14:01:07.039995 | 2013-07-17T16:02:33 | 2013-07-17T16:02:33 | 7,615,088 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,158 | py | from Action import Action
from Pr2SpeakAction import Pr2SpeakAction
# Andreas: added dependency on Pr2SpeakAction to hack in speech running in parallel to motion.
class ActionSet(Action):
def __init__(self):
super(ActionSet, self).__init__()
self._actions = []
self._executing = 0
de... | [
"paepcke@cs.stanford.edu"
] | paepcke@cs.stanford.edu |
17d148604b81fa22333cc519233fa00399b10bd3 | 2ab391bfaadf0743da8ffee084896b999e88482d | /base.py | 45620e4642ea2d812e1babc45e4a2fd9ff569477 | [] | no_license | wean/coupon-windows | 552a59637ea45539bdfa70c6d1bd04626f0fdbd0 | 9565b23c7f44594f182d7a268d4ed45bdeaf8dd3 | refs/heads/master | 2020-04-05T07:11:43.024665 | 2017-11-24T08:23:50 | 2017-11-24T08:23:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,675 | py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import json
import math
import os
import pathlib
import time
from datetime import tzinfo, timedelta, datetime
from functools import total_ordering
from imgkit import ImageKit
from infor import getSlogan, getComments
from network import Network
from operator import attrgett... | [
"974644081@qq.com"
] | 974644081@qq.com |
16c0fa0f1493a48823e1692fafd6ad8476c2b198 | bfbf4c7df621a8190f00f58d981b6ccfb4dc3382 | /21_naive_baysian_test/home_word.py | 7196f82fd385ba4786bc892ed0ac718a397b6ce7 | [] | no_license | zjtprince/DataAnalysisTraining | 5786725431c7f47041826bc08cad0109c9902c77 | 4c2167e0edbddbeb74621d2a02d3ee56f85586a2 | refs/heads/master | 2023-01-28T16:42:05.457291 | 2020-12-13T06:38:04 | 2020-12-13T06:38:04 | 320,966,541 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,000 | py | import jieba
from sklearn.naive_bayes import MultinomialNB
import os
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics import accuracy_score
BASE_DIR='/home/zjtprince/Documents/text_classification/text classification/'
def cut_text(filepath):
text = open(filepath,'r',encoding='gb180... | [
"zjtprince@qq.com"
] | zjtprince@qq.com |
7c1c4d76de80e3cfdd0bfce9ad4f252d6ef21326 | f1fe88da8f05ae54b17eeb328bc6c4e1bf9ebd0b | /test2/booktest/urls.py | 70b13a0f42d35ef0aa55d5ec40c617a600dcf8dd | [] | no_license | itachaaa/pytest | 8a8af6f1e834c9841a21986881b0dbe62d653d56 | 907d181121ef83c53982446d7c7cdc034762f55a | refs/heads/master | 2021-08-29T23:20:54.544775 | 2017-12-15T08:03:51 | 2017-12-15T08:03:51 | 114,343,804 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 183 | py | from django.conf.urls import url
from booktest import views
urlpatterns = [
url(r'index', views.index),
url(r'^booklist$', views.booklist),
url(r'^area$', views.area),
]
| [
"LC@LCdeMacBook-Air.local"
] | LC@LCdeMacBook-Air.local |
9b1b453afef1fcb92f4f6772ca25369709d8c1cd | 1fc2b8709668c2b7f735b7694e67e8c7d57dca04 | /crawler/AppUI.py | 6e2f6378a31ddbec8b5ebbec6d74116e8b3bac35 | [] | no_license | arno06/SimpleCrawler | 1cce2d28fa87f5b31537e40ebbbab4e8681df963 | 310059815b8ac0aaaac42174431b62902918de5a | refs/heads/master | 2021-01-23T11:55:10.736206 | 2015-06-26T08:09:59 | 2015-06-26T08:09:59 | 38,098,701 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,322 | py | from tkinter import *
from tkinter import ttk
class Main():
def __init__(self):
self.running = False
self.toggle_handler = None
self.window = Tk()
self.window.columnconfigure(0, weight=1)
self.window.rowconfigure(0, weight=1)
self.main_panel = ttk.Frame(self.window... | [
"arno06@gmail.com"
] | arno06@gmail.com |
3301c1cfa4fc89a77fbb5449ec4d0a37e120dd1d | 6449afd5e812de0ece5d5932dc567dddfbd1ef51 | /testing.py | ca90e77df96f41d85b8073a6fc269a3c8672032d | [
"BSD-3-Clause"
] | permissive | AgPipeline/template-rgb-plot | 1dabeaec29c6af5569972105e0720e04357fec86 | 34f6eab3edbeaf995d7e888a2e8004963ec9ba4d | refs/heads/main | 2021-12-26T11:54:57.604066 | 2021-09-13T20:13:55 | 2021-09-13T20:13:55 | 223,216,077 | 2 | 3 | BSD-3-Clause | 2021-09-13T20:13:56 | 2019-11-21T16:23:53 | Python | UTF-8 | Python | false | false | 5,064 | py | #!/usr/bin/env python3
"""Test script for algorithm_rgb code
"""
import os
import sys
import numpy as np
from PIL import Image
import algorithm_rgb
def _get_variables_header_fields() -> str:
"""Returns a string representing the variable header fields
Return:
Returns a string representing the variab... | [
"schnaufer@email.arizona.edu"
] | schnaufer@email.arizona.edu |
a98631e0b1a78861f698b938b9ac1138db85b93e | 8bd51cc155b88b251115b7542065dc45431125d4 | /distribution_utils.py | 1a8b93d11552ab9f403870ac1ed81d6b131125b4 | [] | no_license | sunke123/tf-hrnet-imagenet-tmp | e7ec84fc4fbc20dd5feb2c4dddd955344b95a8d8 | 05c381cb35949317a10b70a70c909be737135612 | refs/heads/master | 2020-09-23T02:48:30.396786 | 2019-10-04T07:12:21 | 2019-10-04T07:12:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,954 | py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"c.r.deng2012@gmail.com"
] | c.r.deng2012@gmail.com |
db2ed20cd3e6ba74bf7c30085f6f1b7f1526181c | d94b6845aeeb412aac6850b70e22628bc84d1d6d | /invariant_slot_attention/modules/__init__.py | 4de3565ef241189eac33dea9d2f901f5305be01f | [
"CC-BY-4.0",
"Apache-2.0"
] | permissive | ishine/google-research | 541aea114a68ced68736340e037fc0f8257d1ea2 | c1ae273841592fce4c993bf35cdd0a6424e73da4 | refs/heads/master | 2023-06-08T23:02:25.502203 | 2023-05-31T01:00:56 | 2023-05-31T01:06:45 | 242,478,569 | 0 | 0 | Apache-2.0 | 2020-06-23T01:55:11 | 2020-02-23T07:59:42 | Jupyter Notebook | UTF-8 | Python | false | false | 2,255 | py | # coding=utf-8
# Copyright 2023 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 |
0a597db3d461f09e56059cf629f3e82694d6008a | 61b8d32a16ca2e5dc0162b65ac2beef8cb60bc05 | /test/show_data.py | d22cbdfe4e006c73019d0020e596499f48ecd79c | [] | no_license | antique493/2021_huawei_model | 1f9d6dbf6fa8ef245bbafb69a085f5cf509b34d9 | 6793fd4ca9640cd34e2d89091183d3ccb88c1c10 | refs/heads/main | 2023-08-20T10:09:47.062840 | 2021-10-16T02:39:03 | 2021-10-16T02:39:03 | 416,988,399 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,001 | py | import numpy as np
import glob
import matplotlib.pyplot as plt
def read_tags():
tags = []
with open("./数据集/Tag坐标信息.txt", encoding='UTF-8') as f:
lines = f.readlines()
for line in lines:
results = line.split()
tag = []
for i in range(1,len(results)):
... | [
"tianyuxin@buaa.edu.cn"
] | tianyuxin@buaa.edu.cn |
244da2e90a574f3a7c00e6e17460aa91ecec4cd7 | 0b456a4506670be25f95f7790f78f9f91d81530b | /script/githubregister/get_confirm_url.py | c3d7e254096ce4556e8f41205e3f15f6a3d5a99c | [
"MIT"
] | permissive | atupalykl/github-crawler | e862b18e43d18baad2f5af3f73a97b0e248ab750 | 8298a7ab2980447d65522fd966afe39dae8d8955 | refs/heads/master | 2020-05-29T11:07:39.271991 | 2015-11-29T11:52:43 | 2015-11-29T11:52:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 571 | py | #!/usr/bin/python
#coding:utf8
import poplib
import re
def get_mail(user, password):
M = poplib.POP3_SSL('pop3.live.com')
M.user(user)
M.pass_(password)
num_messages = len(M.list()[1])
for i in range(num_messages):
for j in M.retr(i+1)[1]:
github_confirm_url = re.findall("https... | [
"binhe22@gmail.com"
] | binhe22@gmail.com |
8c4ce3ae200b52e3a8b57d1c0a960df0d3dbc5f1 | d7a1478256fea3c5a5d94c4ddfd8ffc4f2d87ab2 | /radix_r_sort.py | 588b8a62e438c47b578feb4bdf59ca60c55f5556 | [] | no_license | Awarua-/Cosc262_Assignment_Part1 | 0db96927f79065799a1f43ca14feae127fe92746 | 7e3e05c59ff8a24323c06055ff7769e1961a3dd7 | refs/heads/master | 2021-01-14T11:53:06.553242 | 2015-03-17T08:43:30 | 2015-03-17T08:43:30 | 18,115,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 845 | py | __author__ = 'Dion'
def main(data, base, max_len):
"""
Runs the algorithm
:param data: the data array
:param base: the base of the data in a
:param max_len: the maximum number of places in the largest data entry in a
:return:
"""
# Create an array of buckets according to the base
... | [
"woolley.dion@gmail.com"
] | woolley.dion@gmail.com |
c1a60a1a5803673add99db26807bf8e620335a83 | 17c08826eac8129c0c83ecaa368ac305f9b03a11 | /Code/S_add_sym_on_pareto.py | 75bb613a4da3b71168ed5c2e1238855fdfc0ea51 | [
"MIT"
] | permissive | abdalazizrashid/AI-Feynman | f445062b831cf835c2f53111e85fd615ecb7d38d | 3121276389a2cb6749592206268ac8f31f6c1bbc | refs/heads/master | 2022-12-06T01:18:47.214162 | 2020-08-05T18:04:39 | 2020-08-05T18:04:39 | 279,799,700 | 1 | 2 | MIT | 2020-07-15T07:37:34 | 2020-07-15T07:37:33 | null | UTF-8 | Python | false | false | 902 | py | # Combines 2 pareto fromtier obtained from the separability test into a new one.
from get_pareto import Point, ParetoSet
from sympy.parsing.sympy_parser import parse_expr
import numpy as np
import matplotlib.pyplot as plt
import os
from os import path
from sympy import Symbol, lambdify, N
from get_pareto import Point,... | [
"noreply@github.com"
] | abdalazizrashid.noreply@github.com |
143d796996a3fdd288046d70f7fd9193c1bf3abd | aee291b86d7fabb4c6b7d484712c6a0d5d1753d1 | /config.py | 330ff01c3a29f97add90a7477cf7d615271efc2c | [
"MIT"
] | permissive | liubing1545/flask-scan-ftp-directory | 2e76c88df580bba3ec85dd479dfff84b6d7c56f9 | bbf0096b8590da8e2fe30c5520fcfd47ec293904 | refs/heads/master | 2021-04-15T04:54:39.685586 | 2018-04-01T04:59:24 | 2018-04-01T04:59:24 | 126,834,103 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,007 | py | import os
from app.main import timer
basedir = os.path.abspath(os.path.dirname(__file__))
class Config:
SECRET_KEY = os.environ.get('SECRET_KEY') or 'hard to guess string'
SSL_DISABLE = False
SQLALCHEMY_COMMIT_ON_TEARDOWN = True
SQLALCHEMY_RECORD_QUERIES = True
CELERY_BROKER_URL = 'redis://local... | [
"lbingg@hotmail.com"
] | lbingg@hotmail.com |
c629cbdd90dab58a61b3447a0fd008ed272ee17d | 9ec46412be4b97c29b57feacd99d3142b80871f8 | /unit6-4.py | 3a0729c75e3647c0b011484155334b1f0255386c | [] | no_license | klim1286/PythonBasics | 6e788544b06b8e5017d7bfaae66646359f67a420 | 5b8a23a27c6308505e3d10fd1b650c11c2bebe7f | refs/heads/master | 2023-02-16T01:39:48.519366 | 2021-01-11T21:43:01 | 2021-01-11T21:43:01 | 311,781,511 | 0 | 0 | null | 2021-01-11T21:43:02 | 2020-11-10T20:50:35 | Python | UTF-8 | Python | false | false | 1,443 | py | from random import choice
class Car:
def __init__(self, speed, color, name, is_police):
self.speed = speed
self.color = color
self.name = name
self.is_police = is_police
def go(self):
print(f'{self.name} поехала')
def stop(self):
print(f'{self.name} остано... | [
"klim1286@gmail.com"
] | klim1286@gmail.com |
1f3c07e46d45ac1e84121a5bb87edf9005f788f0 | b170fb19f25507533dd31006c9776aa2df387ca1 | /utils/utils.py | cd1a1749936cfb8cc0a7d1a1d996492db20a9237 | [
"MIT"
] | permissive | LCFractal/YOLOV4_MCMOT | cf58603386a68824509120c1068523aeb7f258fb | 0caf0c2feb788c2c3428b4917ace46e437e71b2f | refs/heads/master | 2023-02-26T21:10:31.474650 | 2020-11-06T07:47:10 | 2020-11-06T07:47:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 62,728 | py | import glob
import math
import os
import random
import shutil
import subprocess
from pathlib import Path
import cv2
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from tqdm import tqdm
from . import torch_utils... | [
"765305261@qq.com"
] | 765305261@qq.com |
c22f4a16a3db433255b5d0f0612f123d1d394bce | 3aada9baaac59b10d63ab1af6841a1d8d8fcbf7b | /confer/wsgi.py | cada8d65d116841dad5f96f5a926a1894c7d1940 | [] | no_license | lesage20/confer | 576840454d2204a67cca086cf4e64b6cb2a87b2d | f512262cc102a81907dda5ad41f935131c629f51 | refs/heads/master | 2022-11-03T02:48:00.409562 | 2020-06-11T04:44:07 | 2020-06-11T04:44:07 | 271,451,315 | 0 | 0 | null | 2020-06-11T04:30:28 | 2020-06-11T04:29:29 | HTML | UTF-8 | Python | false | false | 389 | py | """
WSGI config for confer project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTIN... | [
"angezanou00@gmail.com"
] | angezanou00@gmail.com |
acbf78ac1d2e46d4f344a6c734e372bd1e2986d6 | a8062308fb3bf6c8952257504a50c3e97d801294 | /problems/N1959_Minimum_Total_Space_Wasted_With_K_Resizing_Operations.py | bbd38bedade264e75ad702da913ea3aee2e9f0cd | [] | no_license | wan-catherine/Leetcode | 650d697a873ad23c0b64d08ad525bf9fcdb62b1b | 238995bd23c8a6c40c6035890e94baa2473d4bbc | refs/heads/master | 2023-09-01T00:56:27.677230 | 2023-08-31T00:49:31 | 2023-08-31T00:49:31 | 143,770,000 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 817 | py | import sys
from typing import List
class Solution:
def minSpaceWastedKResizing(self, nums: List[int], k: int) -> int:
length = len(nums)
dp = [[sys.maxsize] * (k + 1) for _ in range(length)]
total, mx = 0, 0
for i in range(length):
mx = max(mx, nums[i])
tota... | [
"rarry1988528@126.com"
] | rarry1988528@126.com |
a439070bbb0e642be64dd9784c376bc0b3f450d8 | c577eaf5cde0f1313b6ea7103f8e595f929dd8e6 | /ml/k.txt | 15e9555a16b57d749990763e8c19a4b4677b49c7 | [] | no_license | rutvij26/sem7 | 856e281a5022450eaf7eb7f422d46a9f4256f29a | a745dc3aa28e8728b712ef13fc58b89303044232 | refs/heads/master | 2020-08-26T13:36:22.242421 | 2019-10-23T14:46:07 | 2019-10-23T14:46:07 | 217,027,442 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,771 | txt | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# In[2]:
# Data set is given below
df = pd.DataFrame({
'x': [12, 20, 28, 18, 29, 33, 24, 45, 45, 52, 51, 52, 55, 53, 55, 61, 64, 69, 72],
'y': [39, 36, 30, 52, 54, 46, 55... | [
"noreply@github.com"
] | rutvij26.noreply@github.com |
fb0be32e19d129913ec1f4e1c6d8ae956fdecfb8 | 51935327470f48ac055d9511a969b679b8637697 | /admin_ser/apps.py | 315c1b2b4548c4c0b81cbe9e6d980719a6815939 | [] | no_license | AngeLShuang/minon | 06e614e4684e7b7c73ee1e378a894ca59ca58dc8 | 9ef62d227b52c5533f5e9994e25a3b9aa0826e4d | refs/heads/master | 2020-04-06T08:22:07.579222 | 2018-11-13T01:36:00 | 2018-11-13T01:36:00 | 157,302,327 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 89 | py | from django.apps import AppConfig
class AdminConfig(AppConfig):
name = 'admin_ser'
| [
"1418727910@qq.com"
] | 1418727910@qq.com |
4dba18ca0f90ca2fa410d98db21e6342d97ac10f | 987fcdd9e4cf41f3f0341fe04ff60472e727dc15 | /cans/cans2/data/sim_data/gen_sim_data.py | 0fb84ad2275acfc6620544cd4085bd700c659454 | [] | no_license | lwlss/CANS | c7734a980259136d03a5a94f1d36785c9ce16bba | 9db811f25bf22d13f898466af3bf232e0d4571f9 | refs/heads/master | 2021-01-09T07:59:25.671370 | 2016-10-15T17:48:48 | 2016-10-15T17:48:48 | 39,069,739 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,128 | py | """Simulate plate amounts and save data as json."""
import numpy as np
import json
from cans2.plate import Plate
from cans2.model import CompModel
from cans2.cans_funcs import dict_to_json
mean = 5
var = 3
rows = 5
cols = 5
file_name = '{0}x{1}_comp_model/mean_5_var_3.json'.format(rows, cols)
custom_params = {
... | [
"daniel.boocock@protonmail.ch"
] | daniel.boocock@protonmail.ch |
8828cbd790210db9499074eb33cea8aec7a3dbb7 | 3fcb5f11cd7a666d9f938db90877ad1bbce57a1b | /datasets/generate_datalist_pixelshift.py | b499306fd5fc4567561b3e01d487450adb18aba5 | [
"MIT"
] | permissive | guochengqian/TENet | 362f498078895ec1e7718483f35ef8fc9fef0fab | 098262e7e0ba979e303bea643b0b366efc50dcd3 | refs/heads/master | 2023-07-11T00:50:41.733358 | 2023-07-02T23:19:26 | 2023-07-02T23:19:26 | 186,419,827 | 261 | 37 | null | 2019-05-28T12:47:34 | 2019-05-13T12:56:56 | Python | UTF-8 | Python | false | false | 1,615 | py | import os
import random
import argparse
parser = argparse.ArgumentParser(description='A multi-thread tool to crop sub images')
parser.add_argument('--train_path', type=str, default='../data/pixelshift200/train/train_rggb_512')
parser.add_argument('--test_path', type=str, default='../data/pixelshift200/test/test_rggb_1... | [
"guocheng.qian@outlook.com"
] | guocheng.qian@outlook.com |
504b50f13d44873d865dc30cdf90fd690c5aa3b3 | 762de1c66746267e05d53184d7854934616416ee | /tools/MolSurfGenService/MolSurfaceGen32/chimera/share/Bld2VRML/bld2vrml.py | 66ea92d6eb6e5dc3eca472a5e20da974259f17f1 | [] | no_license | project-renard-survey/semanticscience | 6e74f5d475cf0ebcd9bb7be6bb9522cf15ed8677 | 024890dba56c3e82ea2cf8c773965117f8cda339 | refs/heads/master | 2021-07-07T21:47:17.767414 | 2017-10-04T12:13:50 | 2017-10-04T12:13:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,660 | py | import sys
from string import *
from math import *
# Utility functions
def getDistance(p1, p2):
return ( (p2[0] - p1[0])**2 + (p2[1] - p1[1])**2 + (p2[2] - p1[2])**2 ) ** 0.5
def interp(t, a, b):
c = list(a)
for i in range(3):
c[i] += t*(float(b[i]) - float(a[i]))
return c
def getMidpoint(p1, p2):
return tupl... | [
"alex.gawronski@d60594c4-dda9-11dd-87d8-31aa04531ed5"
] | alex.gawronski@d60594c4-dda9-11dd-87d8-31aa04531ed5 |
f93ebfa2f9e08428f3cbfe27e0ea99e6437e4a2f | 5b77cd52b82ac205cc4dabe8715e419ec0bd14d6 | /python_xpath_Process_duoyexiaoshuo.py | 20046a2382679929b30121b625bbdff5caa13b33 | [
"Apache-2.0"
] | permissive | 17790793549/tongjier | c9ab29e4737e8f0c5406847907a4f9a5ab92c3e9 | 79d1657f2b99595604ec65992f37d09e5da6215c | refs/heads/master | 2020-03-19T13:21:16.991108 | 2020-01-16T08:45:13 | 2020-01-16T08:45:13 | 136,575,007 | 10 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,932 | py |
"""
http://www.quanben.io/n/guantiwanzhengban/list.html
1. 开启两个进程 master, worker1
2. master 去爬取该页面的所有连接
3. worker1 爬取页面详细存入本地(可以考虑进程锁)
"""
"""
开多进程...
在2209个文件中检索关键字为"美丽,帅哥."
"""
import multiprocessing
from random import randint
from time import time, sleep
import os
import requests
from lxml import etree
import ti... | [
"noreply@github.com"
] | 17790793549.noreply@github.com |
6157904590133276d22da7f720c8e9ba2659740c | a1119965e2e3bdc40126fd92f4b4b8ee7016dfca | /trunk/network_semantics_tests/tests/sendmess/sendmess_bad_host.py | e953c972d2377e0f14234eb4c8d78f1737c344da | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | SeattleTestbed/attic | 0e33211ddf39efdbcf5573d4fc7fa5201aa7310d | f618a962ce2fd3c4838564e8c62c10924f5df45f | refs/heads/master | 2021-06-10T23:10:47.792847 | 2017-05-15T12:05:43 | 2017-05-15T12:05:43 | 20,154,061 | 0 | 1 | null | 2014-10-16T17:21:06 | 2014-05-25T12:34:00 | Python | UTF-8 | Python | false | false | 267 | py | # if a host name that cannot be resolved is used an exception occurs.
if callfunc == 'initialize':
port = 12345
try:
sendmess('notactuallyahost',port,'ping')
except:
pass
else:
print "using 'notactuallyahost' did not cause exception"
| [
"USER@DOMAIN"
] | USER@DOMAIN |
f252c21a4d16a3088e67a2cec3db1c7097ef3c80 | 4929b54ac86e5d0064913b097da89abfb079fd48 | /KNN/kNN.py | deb9ba15653c05271e039bf45405b7e6bc632bfd | [] | no_license | haiboowang/meachine-learning-in-action-in-python3- | 5914135cc1b95a3058a1e52680f1f1f4343bfcc8 | aa9f916add6a973592b5493b368be5600f7e4f8d | refs/heads/master | 2021-07-08T22:48:01.412645 | 2017-10-06T12:14:36 | 2017-10-06T12:14:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,125 | py | from numpy import *
import operator
def createDataSet():
group=array([[1.0,1.1],[1.0,1.0],[0,0],[0,0.1]])
labels=['A','A','B','B']
return group,labels
#2-1 k-邻近算法
def classify0(inX,dataSet,labels,k):
#构造与dataSet格式相同的矩阵并计算距离
dataSetSize=dataSet.shape[0]
diffMat=tile(inX,(dataSetSize,1))-dataSet
sqD... | [
"noreply@github.com"
] | haiboowang.noreply@github.com |
724f4a0ba505bb08a9c2d1a3642182e18d2d45dd | 929c9fc294df777ea3f795e0ff6c96edcfc307c0 | /gnn.py | cc31f03a1206341987998bb100fd1af09e620195 | [] | no_license | charudatta10/gnn | 61d0062a4a7039dc57a914ac1f65f0d5bdca7847 | 020e1b12047d3bca1b7661f8adb5e650d506d7c8 | refs/heads/master | 2022-01-07T18:51:48.322545 | 2019-08-25T12:53:22 | 2019-08-25T12:53:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,680 | py | import tensorflow as tf
class GCNLayer(tf.keras.layers.Layer):
def __init__(self, output_dim, activation=None, **kwargs):
self.output_dim = output_dim
self.activation = activation
super().__init__(**kwargs)
def build(self, input_shape): # [batch_size, num_vertices, num_vertices], [b... | [
"xihanli316@gmail.com"
] | xihanli316@gmail.com |
253260a9a8189faaf006e479b65e1a1ce4a1c6e1 | 3daae8bdcc94142cd22fdb3d25580960e84e59b8 | /moose_nerp/cells/proto154_84362/param_chan.py | e1ee455a38ab2d4781f14aec784d733343632d6d | [] | no_license | neurord/moose_nerp | a2cc543fe0e02fc5bd473a1b991d599211b36398 | 74bc20685c6e68cbc7a786271c55a6387f437965 | refs/heads/master | 2022-10-11T15:22:14.251028 | 2022-08-24T21:25:31 | 2022-08-24T21:25:31 | 27,131,330 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 9,319 | py | # Generated from npzfile: fitgp-proto-cmaes_proto154_84362_24.npz of fit number: 6398
from moose_nerp.prototypes.util import NamedDict
from moose_nerp.prototypes.chan_proto import (
AlphaBetaChannelParams,
StandardMooseTauInfChannelParams,
TauInfMinChannelParams,
ZChannelParams,
BKChannelParams,
... | [
"avrama@gmu.edu"
] | avrama@gmu.edu |
1efde54ba66e1b49a043e16ee6709eb0c5fbc0d3 | 09a970bebcbcd1fd1e1e6703e1fccc3c05d6a813 | /client/configuration/tests/configuration_test.py | 1f133401c2949db35cea10e6c3a4f69f1ec50d7c | [
"MIT"
] | permissive | joshkehn/pyre-check | ff401557de08a46d6ddb9d4c2aee34f3779b1747 | 922b62e78e4990d8d268bb2ebde5912ceea9e226 | refs/heads/master | 2022-06-06T10:36:06.142551 | 2022-05-20T19:27:06 | 2022-05-20T19:27:06 | 166,895,044 | 0 | 0 | MIT | 2019-01-21T23:32:17 | 2019-01-21T23:32:17 | null | UTF-8 | Python | false | false | 52,365 | py | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import shutil
import site
import subprocess
import sys
import tempfile
import unittest
from pathlib import Path
import testslid... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
415b68c26b7d3402984137aa26281194e8b527b6 | 54b46ac21712627097e2938b9508150f7f797b28 | /docs/conf.py | 9d24e85e760d9cc4eec4be8de3b3137d7f163d33 | [
"MIT"
] | permissive | riskybacon/mnist_arma | 69987e1cd7c8117976bc1af4e8791a22b7570a29 | 4921686adf2382d7fb87d41d25d5e7e6342e6ec3 | refs/heads/master | 2021-08-26T09:25:49.401537 | 2017-11-22T21:00:07 | 2017-11-22T21:00:07 | 110,301,106 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,299 | py | # -*- coding: utf-8 -*-
#
# mnist_arma documentation build configuration file, created by
# sphinx-quickstart on Tue Nov 14 14:53:19 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
... | [
"jbowles@newmexicoconsortium.org"
] | jbowles@newmexicoconsortium.org |
50bba1b031f6b26df64745a4488f051af8cc1198 | 76f7cc243a743904c24dc328d057306720251e30 | /Week_02/429_n_ary_levelorder_traversal.py | eed438eb66bb3f8d6ed0d4b4cd369408fb509b50 | [] | no_license | underseatravel/AlgorithmQIUZHAO | e2340ad8f3e723fd1e25fe678bdd547bb76483e0 | b41e4ddae5e31074992d0b96bd029fcb6291d2ed | refs/heads/master | 2022-11-29T05:25:00.338298 | 2020-08-22T10:23:17 | 2020-08-22T10:23:17 | 279,102,613 | 0 | 0 | null | 2020-07-12T16:22:05 | 2020-07-12T16:22:04 | null | UTF-8 | Python | false | false | 432 | py | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2020/7/22 1:26
# @Author : weiyu
# @File : 429_n_ary_levelorder_traversal.py
class Solution:
def levelOrder(self, root):
if not root: return []
queue = [root]
res = []
while queue:
res.append([node.val for node... | [
"1355472435@qq.com"
] | 1355472435@qq.com |
e74b3048c30aaaa5c659ce91f95b5db92a2aaa1d | 052275c2dd6d59a0d0fcfe85591b44106343662b | /env/lib/python3.8/site-packages/openpyxl/worksheet/worksheet.py | 95186be4844a6f205071fab8860f3c97f8c1014a | [] | no_license | nimadorostkar/Django-Real-Estate | 93d104ad1847674103e525ae428af186fffa9e30 | bf868e49bb4703e4081d8e7e9fd5e3ae23fc9af9 | refs/heads/master | 2023-08-10T17:07:29.829253 | 2021-09-19T10:55:47 | 2021-09-19T10:55:47 | 338,533,461 | 23 | 9 | null | null | null | null | UTF-8 | Python | false | false | 27,473 | py | # Copyright (c) 2010-2020 openpyxl
"""Worksheet is the 2nd-level container in Excel."""
# Python stdlib imports
from itertools import chain
from operator import itemgetter
from inspect import isgenerator
from warnings import warn
# compatibility imports
from openpyxl.compat import (
deprecated,
)
# package imp... | [
"nimadorostkar97@gmail.com"
] | nimadorostkar97@gmail.com |
34cb20d94952a36b1456472333a03be16addc0c7 | 644163d6cafa83976fd7cb9216bbe6b1b2a25109 | /ex25.py | 0f988e02c4c86018c96da5732d93ef98517c3caa | [] | no_license | wen-t/Learn-Python | 6f52773144b2c358aa931a22a529063a8b1ff648 | ea8ccb7d1f62c73a5da9c16e12c8aa113b8a2cb7 | refs/heads/master | 2021-01-10T01:39:11.646276 | 2015-11-30T14:02:17 | 2015-11-30T14:02:17 | 45,468,678 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 981 | py | def break_words(stuff):
"""This function will break up words for us."""
words = stuff.split(' ')
return words
def sort_words(words):
"""Sorts the word."""
return sorted(words)
def print_first_word(words):
"""Prints the first word after poppin it off."""
word = words.pop(0)
print word
... | [
"mail.wen.t@gmail.com"
] | mail.wen.t@gmail.com |
76a76c143edcf3347857cf52bb1c494b0d17340f | 57a0bbdacb39c652570fe4132cf6df77242480d3 | /serving_patterns/src/api_composition_proxy/routers/proxy.py | 011975457ef19238db90a225444a926ce465f903 | [
"MIT"
] | permissive | GeHongpeng/ml-system-in-action | cca7e722f9725ce3df7372125a91c6e2405f895d | 0aa9d6bc4a4346236b9c971ec90afad04bcf5cca | refs/heads/master | 2023-04-16T19:47:08.367659 | 2021-05-01T02:07:28 | 2021-05-01T02:07:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,681 | py | from fastapi import APIRouter, Body, BackgroundTasks
import logging
import aiohttp
import asyncio
from typing import Dict, Any
from pydantic import BaseModel
import uuid
from src.api_composition_proxy.configurations import ServiceConfigurations
from src.api_composition_proxy import helpers
from src.jobs import store_d... | [
"shibuiyusuke@gmail.com"
] | shibuiyusuke@gmail.com |
cddaacb4ec03f46b0039d3f454686cec9cd18af0 | 31ce1d0fa2f527d52c19c52e50a90e2ca83279e7 | /Chapter_13/json_example2.py | 6a7a9b428cb9ed6014e0f595b696a0b5cae27770 | [] | no_license | Gaborjan/Python_Coursera | 4ef58cbf1f5bdef12cce8d1e05a4748793dbb66a | 3f53b0a9da53410f38eb3df50b4f021ba0a28784 | refs/heads/master | 2022-09-11T06:28:24.309200 | 2020-05-27T19:23:24 | 2020-05-27T19:23:24 | 255,036,306 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 401 | py | import json
input='''[
{
"id":"001",
"x":"2",
"name":"Chuck"
},
{
"id":"009",
"x":"7",
"name":"Gabika"
}
]'''
info=json.loads(input)
print(type(info))
print('User count:',len(info))
for item in info:
print(type(item))
print('Name:',item["name"])
... | [
"janvari.gabor2@gmail.com"
] | janvari.gabor2@gmail.com |
f9a07f1248b76978e6b8b1c52aeada5995d17cd4 | ea35068bdeb270cfde9ef8cb5803c9510016a55f | /HomeFeed-Web App/HomeFeed/flaskblog/__init__.py | dd6333ffead67db53ec66f51a5405f8f4add1fe3 | [] | no_license | PawanPatankar/Web_Apps | 398f6c8430fb73c24e5a452504a9c45d9716bab9 | 997e65350005fca690341a58233e72375b39eda9 | refs/heads/master | 2021-07-06T23:13:39.632789 | 2020-10-03T07:57:08 | 2020-10-03T07:57:08 | 187,206,307 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 721 | py | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_bcrypt import Bcrypt
from flask_login import LoginManager
from flask_mail import Mail
app = Flask(__name__)
app.config['SECRET_KEY']='dbd1c16a8d17965dc1e39fe73b6c4586'
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///site.db'
db = SQLAlc... | [
"patankarpawan03@gmail.com"
] | patankarpawan03@gmail.com |
0b5cf38e9adaf27a8761abf91e7c9e0a67abfe46 | 955c2caeb13ac0b493d0ef147c44a0d76b5ede28 | /B1_course/week12/solution.py | ee5b2523d78dcca477df413fbad0f750fd2e6b41 | [] | no_license | ryanh153/Morsels | dcb079cafec63d895160a028fffdb799112cf364 | 087d8f4e548e31223acb39862b7491b819542320 | refs/heads/master | 2022-05-27T22:45:02.492518 | 2022-03-23T22:39:22 | 2022-03-23T22:39:22 | 214,299,982 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 818 | py | from random import randint
from typing import List
class RandMemory:
"""Takes in a max/min value
Generates random numbers in that range (inclusive)
Stores the history of numbers generated"""
def __init__(self, lowest: int, highest: int) -> None:
self._lowest = lowest
self._highest = h... | [
"rhorton@scitec.com"
] | rhorton@scitec.com |
f2e63399077fa27918591fffb6acefe07330bce8 | 98ccf9473905b25fda057d441381c3b66f4ad9a7 | /interfaces/azure/vcycleAzure.py | ec518b6a11b6c600038fca67ab57821ea01102db | [
"BSD-2-Clause"
] | permissive | cjdcordeiro/vcycle | 623cf6956738b614e3c2069e249252b310225f7e | 26b291ff8e301def73086467a90aa6a7a4f924fb | refs/heads/master | 2021-01-18T12:56:16.772671 | 2015-03-27T16:22:50 | 2015-03-27T16:22:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,196 | py | from vcycleBase import vcycleBase
import os
import VCYCLE
import uuid
import time , calendar
import interfaces.azure.client
class vcycleAzure(vcycleBase):
def _create_client(self):
'''Creates a new Azure client'''
tenancy = self.tenancy
self.provider_name = tenancy['tenancy_name']
retur... | [
"luis.villazon.esteban@cern.ch"
] | luis.villazon.esteban@cern.ch |
d12d2181b7bdfe380b28d28879d1043d0486ef8b | 5c96777507c87a293c34e03b5f6b768c8a6bddf2 | /objeto.py | 7689e82b3ca97b004818940bf4ec9e72b7fc3849 | [] | no_license | mtgsjr/Machine_Learning | 63f3162f9d15dd3536399b3615fe6f79f23e8dc9 | f7c886f9b11d5ea6f4b858117bd1a2228eb4ce83 | refs/heads/master | 2023-03-15T10:18:40.536845 | 2021-03-04T23:57:18 | 2021-03-04T23:57:18 | 344,641,687 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 558 | py | import cv2
import numpy as np
cam=cv2.VideoCapture(0)
kernel=np.ones((5,5),np.uint8)
while (1):
ret,frame=cam.read()
rangomax=np.array([50,255,50])
rangomin=np.array([0,51,0])
mascara=cv2.inRange(frame,rangomin,rangomax)
opening=cv2.morphologyEx(mascara, cv2.MORPH_OPEN, kernel)
x,y,w,h=cv2.boundingRec... | [
"mtgsjr@hotmail.com"
] | mtgsjr@hotmail.com |
229e1fd8c5d5880338a604437236c845881625d6 | 11228a51cf7bfe3cef852efb0de393ae42c768f2 | /rules/gatk3/gatk_genotype_gvcfs.smk | 46b05bc905018529fb1c2267a13a418372eaec26 | [
"MIT"
] | permissive | orionzhou/snk | cd36c6ced8fb514101b1de7c70f322e76368e760 | 5ead8aebf5ed00a2aec15363b8023c9b75b0ed4a | refs/heads/master | 2021-07-13T12:08:53.168670 | 2020-06-01T05:19:46 | 2020-06-01T05:19:46 | 133,903,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,441 | smk | def gatk_gg_cmd(wildcards):
java_mem = config['java']['mem']
if 'java_mem' in config['gatk']:
java_mem = config['gatk']['java_mem']
if 'java_mem' in config['gatk']['genotype_gvcfs']:
java_mem = config['gatk']['genotype_gvcfs']['java_mem']
java_tmpdir = config['tmpdir']
if 'tmpdir' in... | [
"zhoupenggeni@gmail.com"
] | zhoupenggeni@gmail.com |
f12b661134198995402bfdfd54a3df7c0e327f53 | 89e141cf19b1bafc5b2ef186aeb2631a893d3378 | /2601/main.py | 2eea3a2f9c1fc3f121e4d6879b1bb5535f7f77f7 | [] | no_license | 100ballovby/8v_3ch | 7369c287b6f95cf3a7e54a142e8b22c8b7394183 | e064d920ff12cdab65cb4dcb1132af00ae7a693c | refs/heads/master | 2023-02-23T08:45:03.374521 | 2021-01-26T09:20:38 | 2021-01-26T09:20:38 | 329,604,273 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 930 | py | '''
while логическое_выражение:
действие 1
...
действие n
'''
# просим ввести в переменную число с клавиатуры
n = input('Введите число: ')
# пока в переменной n не будет целого числа (int)
while type(n) != int:
# пытаемся привести число n к целому виду
try:
n = int(n)
# если не получает... | [
"greatraksin@icloud.com"
] | greatraksin@icloud.com |
571ca496b3b9b4f0cc92ccbe72be970e9ffc1562 | f7f54c3a496ed05a315919db452d0198488d7d3e | /utils.py | 915f1f7d0c7cd0b52bc9db6f094269f073797d8a | [] | no_license | hiyouthinker/tcp_fsm | b3867918a079f2b8f2471b620551de4d50b0d879 | d2d0a5b96fbd28a2d5b2e5df5fffcba65bdf765f | refs/heads/master | 2023-04-18T01:54:30.099968 | 2021-05-04T22:33:25 | 2021-05-04T22:33:25 | 363,361,315 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,090 | py | #!/usr/bin/env python
#coding=utf-8
'''
BigBro @ 2021.04
'''
from scapy.all import *
import signal
import tcp_state
def send_tcp_pkts(type):
keys = tcp_state.sessions.keys()
for key in keys :
value = tcp_state.sessions.get(key)
state = value[0]
seq = value[2]
ack = value[1] + value[3]
flags = tcp_state.... | [
"hi.youthinker@gmail.com"
] | hi.youthinker@gmail.com |
514db84cd47d638f0cb747ea8fba0c4df5427e73 | 873bcf16ea9438d03c14bba89be548e4d566d6b7 | /mini-projects/Library/microtest.py | 7376990417f302e62cf964971bc1bbfe4bf6de08 | [] | no_license | snaik/codeskulptor-mini-projects | 4af46b3d17bff396284b9f33a1271bb3c1090e77 | 6a12cdf44a6fecd929b468b7ced2827649cac832 | refs/heads/master | 2020-12-24T16:58:42.550286 | 2012-11-09T08:10:06 | 2012-11-09T08:10:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,306 | py | import types, sys, traceback
class TestException(Exception): pass
def test(modulename, verbose=None, log=sys.stdout):
''' Execute all functions in the named module which have __test__
in their name and take no arguments.
modulename: name of the module to be tested.
verbose: If true, print test ... | [
"sachin.u.naik@gmail.com"
] | sachin.u.naik@gmail.com |
dd75b7eb7bc4981c28a04e678eb2541210ddbf26 | b5f7f7df4c6066508dfe3667018c74424c55c2f3 | /teachers/apps.py | 43c7c3112f47f758302b27fda48cf990c25f9b69 | [] | no_license | miha-pavel/hillel_students_tracker | 539d8b13c8cd210e17d2f10232fae79a663e21c6 | b510e7035faa2b5865491bf2fb167236fda9bf83 | refs/heads/master | 2022-12-12T04:56:52.921872 | 2020-02-12T05:35:29 | 2020-02-12T05:35:29 | 230,735,782 | 0 | 0 | null | 2022-12-08T03:27:12 | 2019-12-29T10:37:01 | JavaScript | UTF-8 | Python | false | false | 211 | py | from django.apps import AppConfig
class TeachersConfig(AppConfig):
name = 'teachers'
def ready(self):
# Импорт делаеться только здесь
import teachers.signals
| [
"pavlom@oneplanetops.com"
] | pavlom@oneplanetops.com |
38e32c8adec32252e5a5ee80d1c30ea914b8702f | 3992bdce87f78028fd4f9f48d954d6ccbfcd5ad5 | /Codes/ssort.py | 20430a46b9f9a2ee525fe4719909f9e1de665170 | [] | no_license | IIInvokeII/1st_sem_python | b8d973da8349b0b0b148683dd16abe9a25d77b8d | 508fe50a85f9fd056b7e53b05ea2ae1b0ae420d1 | refs/heads/main | 2023-07-10T22:46:58.220059 | 2021-08-11T11:27:20 | 2021-08-11T11:27:20 | 394,961,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 626 | py | def ssortasc(a):
for i in range(len(a)):
mini=i
for j in range(i+1,len(a)):
if(a[mini]>a[j]):
mini=j
a[mini],a[i]=a[i],a[mini]
return a
def ssortdesc(a):
for i in range(len(a)):
mini=i
for j in range(i+1,len(a)):
... | [
"noreply@github.com"
] | IIInvokeII.noreply@github.com |
edb8a2e13321ebe34626eb8f672c16db8392b8d2 | 0e1e64bd49cce6e94543ba473edc69fb2547905b | /deepneuro/pipelines/Skull_Stripping/cli.py | e3b07ea02050cedd058b5d11b0e60cbb65844278 | [
"MIT"
] | permissive | medical-projects/DeepRad | ab967577695c657d181adba933c2e1af81c26fab | 96b16aac873089e0d766fea34ed428a59c9e9080 | refs/heads/master | 2021-09-22T23:09:36.208120 | 2018-09-12T08:53:42 | 2018-09-12T08:53:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,500 | py | import argparse
import sys
import os
from deepneuro.docker.docker_cli import nvidia_docker_wrapper
class Skull_Stripping_cli(object):
def __init__(self):
parser = argparse.ArgumentParser(
description='A number of pre-packaged commands used by the Quantiative Tumor Imaging Lab at the Martino... | [
"andrew_beers@alumni.brown.edu"
] | andrew_beers@alumni.brown.edu |
92663081b0db9c1d5fd17c8e4658db632ac361e8 | ca5201a99fa9271e7833e88c5926d48a11061519 | /brynweb/userdb/migrations/0017_team_tenants_available.py | ffe40d9028c0caef9ce3b53d94b1c197de939c00 | [] | no_license | m-bull/bryn | c94ba0347f2e48e2f921393818150a072cd6d66a | 68a42d45d1938f7219b4af1666d70cae0b34cf32 | refs/heads/master | 2020-03-06T19:10:25.268797 | 2018-08-31T12:45:45 | 2018-08-31T12:45:45 | 127,021,966 | 1 | 0 | null | 2018-03-27T17:41:04 | 2018-03-27T17:23:16 | Python | UTF-8 | Python | false | false | 459 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-07-13 07:41
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('userdb', '0016_auto_20160712_0722'),
]
operations = [
migrations.AddField(
... | [
"n.j.loman@bham.ac.uk"
] | n.j.loman@bham.ac.uk |
c6df51600a30b2b426cae7397d74df668ae25de0 | 5092b7eab30ae9a1e0c17d6915b9da13ae91e663 | /mit-6.00-ex/ps5/ps5_ghost.py | 676e46fff504071c2180fa4abc6403ba54de1f8e | [
"Giftware"
] | permissive | Hausdorffcode/mit-ex | acf2db5d645c887b09d021aacceeddcca5bea8b8 | 48d34a1de35a1fd789d1cb5278a5510be356da87 | refs/heads/master | 2021-01-12T10:47:15.249520 | 2016-11-03T02:04:45 | 2016-11-03T02:04:45 | 72,699,475 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,229 | py | # Problem Set 5: Ghost
# Name:
# Collaborators:
# Time:
#
import random
import string
# -----------------------------------
# Helper code
# (you don't need to understand this helper code)
import string
WORDLIST_FILENAME = "words.txt"
def load_words():
"""
Returns a list of valid words. Words are strings ... | [
"m15950172843@163.com"
] | m15950172843@163.com |
fc9f30f416f389d049fb8ed919eb064c11d92309 | 4faee7abaf73112bc07ac9c32f3ed97b26d82d52 | /pirpy/io/filenames.py | 26c26f0f48e6f506c0445d9d10ee8b0fd9afce74 | [] | no_license | juliotux/pirpy | 8eeca3cd3d03553264e9081f28aae7fff154d426 | 9b590d4d61fa0d8220114f6c38163c0773048942 | refs/heads/master | 2020-04-21T03:40:56.861887 | 2016-02-26T17:27:56 | 2016-02-26T17:27:56 | 38,067,852 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,194 | py | '''
Functions to easy generate lists of fits files names, following some standarts.
'''
from os.path import join
import glob
__all__ = ['from_basename', 'from_file', 'ls']
def from_basename(basename, start_count, n_img, pad, sep='_', base_dir=''):
'''
This routine generates a file list, based on a basename, ... | [
"juliocampagnolo@gmail.com"
] | juliocampagnolo@gmail.com |
0abc1075d8f5d1b2f7f2d1a31f01c198def2afc2 | 9e397b7e5787826534d06972ce7bb3390aab3677 | /manage.py | d7c015a88c210b2a2cabe4ce7772f3f1bb913329 | [] | no_license | KangSuzy/My_first_blog | 88d6dca24026c00471f1b9fa0e0ca9f62b6a82e6 | 17b7591cde84f223a01c4265ca9f71e20f193741 | refs/heads/master | 2020-04-14T00:30:37.131183 | 2019-01-01T16:09:01 | 2019-01-01T16:09:01 | 163,535,213 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 516 | py | import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mysite.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed... | [
"astnwl321@gmail.com"
] | astnwl321@gmail.com |
14cd63d1eece035c530e8b448b2b946ff4fbb808 | bbea674e2c8b377dc4ba98bb32c9945d161e5c79 | /Single_pair_of_images_model/unetmodel.py | 5715399cf3db34f0fef73bf1782c8150250fc6a9 | [] | no_license | AtilaSaraiva/Unet-LSRTM-filter | a9084382ed9e8dc2195d2c1b5d05a551b3eccec6 | 841bc14b57568fd07a051d140c7e7660730b6684 | refs/heads/master | 2023-07-02T14:16:55.790062 | 2021-08-11T22:28:44 | 2021-08-11T22:28:44 | 358,454,156 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,142 | py | from keras.layers import Conv2D, MaxPooling2D, Dropout, concatenate, UpSampling2D
from keras.optimizers import Adam
from keras.models import *
from keras.utils import plot_model
def unet2(pretrained_weights = None,input_size = (512,512,1)):
inputs = Input(input_size)
conv1 = Conv2D(64, 3, activation = 'tanh', ... | [
"atilasaraiva@gmail.com"
] | atilasaraiva@gmail.com |
1c06cea3dc146b10c247aa89165127ff7527308d | 4e891592463f5daa53573a89a8ed3eaa1ca20c30 | /test/test_db_matches_ui.py | 2fa2528d8dceae2b116d1aff18b82467a79d3f58 | [
"Apache-2.0"
] | permissive | Doc-fee/python_training | 36940047e5cd8d21a44e2b51e5fbf82e68e5684c | 67464bba88a6ddfc05eb93fde4866de6b0542b63 | refs/heads/master | 2021-04-14T05:21:02.346418 | 2020-05-25T17:35:22 | 2020-05-25T17:35:22 | 249,209,496 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 317 | py | from model.grroup import Group
def test_group_list(app, db):
ui_list = app.group.get_group_list()
def clean(group):
return Group(id=group.id, name=group.name.strip())
db_list = map(clean, db.get_group_list())
assert sorted(ui_list, key=Group.id_or_max) == sorted(db_list, key=Group.id_or_max) | [
"bugsbunny.k38@gmail.ru"
] | bugsbunny.k38@gmail.ru |
f7757b2880b47dfefd72c18007828fbbe1155d51 | 4dfea1afb726814bb6ff8d4f1da8b1106afe39a7 | /istype/internal/__init__.py | 440c5a335bbba2b9587b71d6b06f6ac0829e2973 | [
"MIT"
] | permissive | Cologler/istype-python | ddd1b7341d2b940fccdf5f32d370842936fb7b95 | b4dcea88468b1ee43ebb36413b099e3e8508b3ce | refs/heads/master | 2021-06-05T18:40:54.585381 | 2020-06-29T03:43:44 | 2020-06-29T03:43:44 | 114,655,652 | 6 | 0 | MIT | 2020-06-29T03:43:00 | 2017-12-18T15:16:22 | Python | UTF-8 | Python | false | false | 375 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2017~2999 - cologler <skyoflw@gmail.com>
# ----------
#
# ----------
import os
import importlib
from .common import TypeMatcher
for name in os.listdir(os.path.dirname(__file__)):
if name.startswith('_') or not name.endswith('.py'):
continue
... | [
"skyoflw@gmail.com"
] | skyoflw@gmail.com |
f83352d6e3685adb02728b8444acd02c40e198b8 | 8a2aa2c4480c0c874275a8d8984d292b495bdd16 | /tutorons/common/migrations/0002_auto_20160208_0000.py | a0b707c5149c3271fca3c98ba71d4e6a627797f3 | [] | no_license | andrewhead/tutorons-server | 76318bf75420f962da55c4acbd1b3c9fa56dd7ce | 8ea4cc3d7d1431de03aef1806d7d5f6e4a2fa3c0 | refs/heads/master | 2021-01-15T13:14:20.157931 | 2018-10-24T18:17:42 | 2018-10-24T18:17:42 | 26,420,128 | 7 | 2 | null | 2016-07-08T06:53:38 | 2014-11-10T03:53:42 | Python | UTF-8 | Python | false | false | 569 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('common', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='region',
name='end_time'... | [
"head.andrewm@gmail.com"
] | head.andrewm@gmail.com |
d1394ce8aee7d45bdd5c7b4ac0743949f87e6994 | 985013eb7f20a38b756ca1f000971df1cd0f0746 | /LoadAllJsonFilesFromDir.py | d939bdecd551ce0bc0f121ffbb0e883f972c16c5 | [] | no_license | hasantuberlin/Impro-project | 6fc3ee344cf840ee5f9fe89fb72769a7aa05cc6a | a52f6b03b584cce75004eecea5fa1edbc9f2a2ab | refs/heads/master | 2023-01-05T03:27:12.558540 | 2020-11-05T12:37:01 | 2020-11-05T12:37:01 | 310,293,438 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 614 | py | '''
loading data in elasticsearch
'''
import requests, json, os
from elasticsearch import Elasticsearch
#connecting to elastic search
res = requests.get('http://localhost:9200')
print (res.content)
es = Elasticsearch([{'host': 'localhost', 'port': '9200'}])
directory = os.getcwd()
for filename in os.listdir(dire... | [
"hasan.1@campus.tu-berlin.de"
] | hasan.1@campus.tu-berlin.de |
ada4d7c93cd7370c5ea393351b6cc0a57da531b7 | 1643d6745b3806e7c52c6ea7e744ebee0eb518fd | /SE_Backend/ContestPlus/migrations/0006_auto_20201210_1617.py | 988b5e354d1897ba1f24fd5b59fc80a42b57dce1 | [] | no_license | cobs14/SE_ContestServicePlatform | 7eb3279a5f42bc34343eabaa303789d984e2834a | 3a3d9d4fe7cbfa6a61110a7ea7da7eb5e7db4535 | refs/heads/master | 2023-02-27T19:58:32.348228 | 2021-01-31T13:19:53 | 2021-01-31T13:19:53 | 299,851,916 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 410 | py | # Generated by Django 3.1.3 on 2020-12-10 16:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ContestPlus', '0005_contest_publishresult'),
]
operations = [
migrations.AlterField(
model_name='user',
name='userTy... | [
"52957393+LiXCloudland@users.noreply.github.com"
] | 52957393+LiXCloudland@users.noreply.github.com |
e9f99dd72dc9800d274ca3b2ee210f847433f7ee | be4de24b9cca2fe00328c30c609e53b46e698d17 | /quandl_to_db.py | 140d170e7c6373def894c2590ae2fb11f8d7c165 | [] | no_license | carstenf/Security-Master | 2544a8a18c293be5b8b38a4c80d07dbb5f110756 | 230a029c1d942a8be2af042e5ab4cb6503b02c57 | refs/heads/master | 2021-08-22T04:09:22.134263 | 2021-01-10T13:55:11 | 2021-01-10T13:55:11 | 242,366,399 | 15 | 4 | null | null | null | null | UTF-8 | Python | false | false | 33,363 | py | import time
import math
import pandas as pd
from sqlalchemy import create_engine
from tqdm import tqdm
import quandl
import zipfile
import timeit
# create the engine for the database
engine = create_engine('mysql+mysqlconnector://root:root@localhost/securities_master')
# define path to data dump from data vendor
#p... | [
"noreply@github.com"
] | carstenf.noreply@github.com |
3d1e6770334522878a01c66e9e49e03b04187275 | 31b482a5a44209a7a0607acd7a28ff30a70fc412 | /aladdin-cas/init/init_object_detection.py | dca6024bb4d48c28e4eac7bb6616da5ddc0e201e | [] | no_license | ARES3366/aladdin | 3ac526ccff98972233c05c262e38e434d0fcf235 | fb268cf7901322bb16b8b295f2c791628665bfb8 | refs/heads/main | 2023-08-20T11:42:21.614951 | 2021-10-28T07:25:55 | 2021-10-28T07:25:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,755 | py | from utils import get_mongo_client, mongo_config, milvus_config
from time import sleep
from milvus import Milvus, IndexType, MetricType, Status
def init_object_detection_mongodb():
try:
print(mongo_config)
client, _ = get_mongo_client(mongo_config)
db = client[mongo_config["db"]]
db... | [
"1010276502@qq.com"
] | 1010276502@qq.com |
818d0b9f2d7a27de56e82aac986ec04fa6af6318 | 05dfa7cf71dddb604d8835cc9c16f31c4992f260 | /orders/context_processors.py | 631bf008fc3146b010dde8f7c743a12a4895e6c8 | [] | no_license | asanisimova/ProjectWeb | c605f2848a1a0352b378dd010e0515e292b52392 | 46f5566fcc1573a999cb0b174679c38e0a2ba453 | refs/heads/master | 2022-11-23T09:01:38.041139 | 2020-01-12T18:43:57 | 2020-01-12T18:43:57 | 230,278,128 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 368 | py | from .models import ProductInBasket
def getting_basket_info(request):
session_key = request.session.session_key
if not session_key:
request.session.cycle_key()
products_in_basket = ProductInBasket.objects.filter(session_key=session_key, is_active=True, order__isnull=True)
products_total_nmb =... | [
"anna_anisimova1997@mail.ru"
] | anna_anisimova1997@mail.ru |
18e3a7a37db089ffd5b2d90e18d157f16cdf3498 | 63df49317f5ef093e572c3cb8cd635c2e74ef09a | /ep_clustering/likelihoods/_gaussian_likelihood.py | 82b347981917fe64c664071636365dcd3a5cb48a | [
"MIT"
] | permissive | PeiKaLunCi/EP_Collapsed_Gibbs | e4015b9b1dbef8b80a837146794dd71e32ee2c30 | 3b2e8c3addeab2343837b9e86e9cb57b00798b9a | refs/heads/master | 2023-03-16T03:12:27.608096 | 2019-12-08T00:24:08 | 2019-12-10T06:23:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,234 | py | #!/usr/bin/env python
"""
Gaussian Likelihood
"""
# Import Modules
import numpy as np
import logging
from ep_clustering._utils import fix_docs
from ep_clustering.likelihoods._likelihoods import Likelihood
from ep_clustering.exp_family._normal_mean import (
NormalFamily,
DiagNormalFamily
)
logger =... | [
"aicherc@uw.edu"
] | aicherc@uw.edu |
e2cbf792b9c854508db3d2a349801d2165b6ffec | 5e29a10631cf23e54adba1109e13c345e2eafba4 | /selenium_test/Web_TimeEvent_Test.py | c9fba36dbe0cfc257157a60e7276193cc2a375fe | [] | no_license | kuangtao94/Selenium | 1926c9c11790e6fe741fdeb5b0f05278686ebc31 | 128203d3446b31b31593b7e605a99f75f32e8e40 | refs/heads/master | 2020-06-29T07:10:41.766221 | 2019-11-23T16:25:19 | 2019-11-23T16:25:19 | 200,471,309 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,745 | py | from selenium import webdriver
from selenium.webdriver.support.select import Select
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.wait import WebDriverWait
import time as t
driver = webdriver.Chrome()
driver.maximize_window()
# driver.get("http://www.baidu.com")
drive... | [
"1512500241@qq.com"
] | 1512500241@qq.com |
4241e79403d4a85677d2e3a33a6482de9a703ffa | 3740de0d6e43ea140fc09ab314e4c492603ba185 | /scripts/sources/s_evaluation_satis_scenprob.py | 3b2ec5f3a31142b953373d3773527a921aa13e8e | [
"MIT"
] | permissive | s0ap/arpmRes | 29c60c65fd3e11be1cc31d46494e5b3ebf6e05ab | ddcc4de713b46e3e9dcb77cc08c502ce4df54f76 | refs/heads/master | 2022-02-16T05:01:22.118959 | 2019-08-20T16:45:02 | 2019-08-20T16:45:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,446 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.4'
# jupytext_version: 1.1.5
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # s_ev... | [
"dario.popadic@yahoo.com"
] | dario.popadic@yahoo.com |
64eed1d7f291132bd242926d2ed2a29df9025286 | 70bbd6e465c2360e71899077a15b376c92d872ea | /config.py | 2a7ec4a2de9d2b0755d217bb93a1179b416c61b9 | [] | no_license | anchyy/Zavrsni | afe531f590031ef4991bd2b48725ff557dcc9004 | e385db393484ded76a39499783723bac7f3e4572 | refs/heads/master | 2022-12-31T09:15:55.683956 | 2020-10-21T15:52:50 | 2020-10-21T15:52:50 | 296,143,195 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 315 | py | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
SECRET_KEY='gvpTrsDaf5vgzIzdzC2XKA'
SQLALCHEMY_DATABASE_URI='sqlite:///webshopDB.sqlite'
SQLALCHEMY_TRACK_MODIFICATIONS= False #kako bi se koristilo manje memorije
SQLALCHEMY_ECHO= True
ENV = 'development'
| [
"ana.strenja88@gmail.com"
] | ana.strenja88@gmail.com |
09222c4ffe43f89b913e1ae57331c6ad73adb1c9 | 25b007b58317f6f920dc3ca56b5d4a9291096ca2 | /Intense/migrations/0019_auto_20201006_1727.py | e052d45e385957d99d5fd9c5ab0e671d1b8ded3d | [] | no_license | kmfaizullah/tango-backend | 2a6b79195f86f156f41d780b966d3617724d2527 | f6b377fdfe7dc1deee7b0f3df6eba4dfb39b128c | refs/heads/master | 2023-01-04T21:08:29.764484 | 2020-10-11T10:47:38 | 2020-10-11T10:47:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 417 | py | # Generated by Django 2.2.15 on 2020-10-06 11:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Intense', '0018_user_role'),
]
operations = [
migrations.AlterField(
model_name='user',
name='username',
... | [
"sameesayeed880@gmail.com"
] | sameesayeed880@gmail.com |
07bf834854fde7fe6a8945e0e36b96c2d80530b1 | cb4be2d145c529192cad597ebf6bba8aed0ec12e | /scripts/00_important/mec_shelf_loader/shelves/00_trash/Thomas_Nathan_CRI1_1409_rigging_tools.py | 2081cd5f275dc4ee7849f12dbdd2772d02882a98 | [] | no_license | mclavan/Work-Maya-Folder | 63e791fdbd6f8ac1f4fda2d46015cd98df38825c | c56dbdb85a7b1a87ef6dd35296c56e0057254617 | refs/heads/master | 2020-05-20T07:21:15.891179 | 2014-10-17T14:28:45 | 2014-10-17T14:28:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,181 | py | '''
Nathan Thomas
Thomas_Nathan_CRI1_1409_rigging_tools.py
Description
A group of rigging related tools
How to Run:
import Thomas_Nathan_CRI1_1409_rigging_tools
reload(Thomas_Nathan_CRI1_1409_rigging_tools)
NOTE: GETTING SELECTED:
start with:
selected = pm.ls(selection=True)
'''
print 'Rigging Tools Active'... | [
"mclavan@gmail.com"
] | mclavan@gmail.com |
b09d3d9917697dc4d1359837a8f9339bfbc5bca3 | a0d11652c19fa2a655511ceee87a8d2e05394adb | /3.py | b460667010201582af9bc37cc2401967426f5bc7 | [] | no_license | galerra/artem_got_angry | 46b391f3ea1e6715e03441bb3050b81a2e7fe8fe | 807a4d7f3f55fa42b4b73f2f877979ae65bddfa1 | refs/heads/main | 2023-08-26T22:11:01.589735 | 2021-10-21T07:31:00 | 2021-10-21T07:31:00 | 417,957,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 377 | py | a3 = int(input("Введите a1:"))
a2 = int(input("Введите a2:"))
a1 = int(input("Введите a3:"))
b2 = int(input("Введите b1:"))
b1 = int(input("Введите b2:"))
c1 = (a1 + b1) % 10
c2 = (a2 + b2 + (a1 + b1) // 10) % 10
c3 = ((a2 + b2 + (a1 + b1) // 10) // 10) + a3
print("Сотни", c3)
print("Десятки", c2)
print("Единицы", c1)
... | [
"artem-newalex@mail.ru"
] | artem-newalex@mail.ru |
5f8183e14d9f9cacecae8ab0e3db53d3dece2a16 | 0244a193f052dcb507b1f45daee3391b26112440 | /__openerp__.py | ea6a0f3ecb80e43b63ad94aa3dc979307dc7f19b | [] | no_license | duongduong/report_voucher | aa340377457a3b042b63be349202ca49da9c3973 | 7559387b04e1d6fafd13165a7959faad49822077 | refs/heads/master | 2016-08-11T09:22:24.248383 | 2015-09-28T16:03:15 | 2015-09-28T16:03:15 | 43,309,989 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | {
'name' : 'PJ_Test',
'version' : '1.0',
'description' : "",
'depends' : [ 'product', 'account','base', 'sale','account_voucher'
],
'data': ['_test_view.xml',
'report/report_saleorder_inherit.xml',
'report_acc_voucher.xml',
'report/report_accou... | [
"huongduong328@gmail.com"
] | huongduong328@gmail.com |
c84a036fd6d594c1ed61f9b0056ebda6f4b8baa4 | a35a2f9dc412b72bd07c36c2de2b8a577e880d11 | /redactor_project/redactor/unredactor.py | 277a193ec6ad830d8017adafd600a14157106d44 | [] | no_license | umeshG34/redactor | 95750c93415d349beb2e978691b7d12c6c7f33f9 | bcfb43ad33e05d1b3881f0fe36e7d217a990949a | refs/heads/master | 2022-12-17T21:51:23.176130 | 2019-09-30T15:46:46 | 2019-09-30T15:46:46 | 172,621,679 | 0 | 0 | null | 2022-12-08T00:02:34 | 2019-02-26T02:23:33 | Python | UTF-8 | Python | false | false | 7,359 | py | #!/usr/bin/pythonw
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import argparse
import nltk
import glob
import csv
import os
import re
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.tree import Tree
from sklearn.feature_extraction import DictVectorizer
from sklearn.neural_network imp... | [
"umeshsai34@ou.edu"
] | umeshsai34@ou.edu |
f1c89f72df982ce0cf4460d3d18d203bb585aeb8 | e4f60cbe8b727ce09e7cccf372183a71b90ea6bd | /venv/Scripts/pip3.7-script.py | 02bafbe44323096c44b20fddfe2459c592e20992 | [] | no_license | yk3996/likelion_task2 | 82530bdeb3600a3ed3e29d2407d71f530e34c914 | 1e44c7d1466f27c7f162101fdc9b8053e4b9aa50 | refs/heads/master | 2020-05-24T01:26:17.363437 | 2019-06-07T00:06:19 | 2019-06-07T00:06:19 | 187,033,511 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | #!C:\Download\PyProject\likelion_task2\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3.7'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[... | [
"bignfine@naver.com"
] | bignfine@naver.com |
90dadd58fbe69e5636c0d358cd9c496fb1c86ceb | 30339420bc8827464ce9772e9ad5c7333e5f4ef1 | /oscar/bin/easy_install | 3e5b0c1c2c6f1447cc25b929411fbd837dd27923 | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | permissive | Razvancbalaci/djangooscar | 0df6425deb8f0a14e6cb9091460e4b36cc32f947 | 0a4ac1d7e7ccc92b4d4f786c8a2b4bf2a093078d | refs/heads/master | 2020-04-18T07:24:39.982801 | 2019-01-24T19:07:39 | 2019-01-24T19:07:39 | 167,358,870 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 261 | #!/home/razvan/django-oscar/oscar/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"razvan_1997@live.com.pt"
] | razvan_1997@live.com.pt | |
67b279c2fe03624259dd54e4db9710063fe12276 | ddf17869e08f847bd5d273c4ed27b2f9549011d8 | /MachineLearningInAction/LogisticRegres/logregres/logRegres.py | f83aeef0ba6a869ed0f19e29f0392d33e74bb4d9 | [] | no_license | 1astonm1/MachineLearning | a5e8885d4f24c9957bd272b971be067b8c8be033 | 443bbdfa2ff26f999918a4c4a22a5aea36ef9c0d | refs/heads/master | 2020-05-15T22:13:35.607080 | 2019-07-06T15:48:40 | 2019-07-06T15:48:40 | 182,521,366 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,003 | py |
from numpy import *
def loadDataSet():
dataMat = [];
labelMat = []
fr = open('testSet.txt')
for line in fr.readlines():
lineArr = line.strip().split()
dataMat.append([1.0, float(lineArr[0]), float(lineArr[1])])
labelMat.append(int(lineArr[2]))
return dataMat, labelMat
de... | [
"45306215+1astonm1@users.noreply.github.com"
] | 45306215+1astonm1@users.noreply.github.com |
1a98406527162c67dcfcb2872cc5fc723e81b60f | f9ac8727c233600e494b74be1e1522004296bedf | /fenv3/catalog.py | 1de43c0f494afb0698b6df72259bb40665e22b8d | [] | no_license | mohammadghulmi/DOSfinalproject | 072048b25ff266846cdc1956d19945817fe9d7f6 | 90b4e90aea7cab83929266363caf46573ed4a9bb | refs/heads/main | 2023-01-24T03:52:22.799579 | 2020-12-14T16:49:43 | 2020-12-14T16:49:43 | 321,412,588 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,960 | py | from flask import Flask
from flask_restful import Api, Resource
import json
app = Flask(__name__)
api = Api(app)
books = [["","","","",""],["","","","",""],["","","","",""],["","","","",""],["","","","",""],["","","","",""],["","","","",""]]
f = open("data.txt","r")
for i in range(7):
for j in range(5):
... | [
"47061208+mohammadghulmi@users.noreply.github.com"
] | 47061208+mohammadghulmi@users.noreply.github.com |
44298aa9008a62b04b09d7fe8e6ca9b449475bfd | 596ee60e8b469b9e8550be616affad397da4534f | /build/rosserial/rosserial_esp32/catkin_generated/pkg.develspace.context.pc.py | abfb1a14b2c987684745df18d3e99483ef769c96 | [] | no_license | jmyth742/veg_picker | 4e76fc1e46442d2d1cf3e7915fd419cfe551d5a6 | 9402d6ef4d89593507dd3bd118501130f2842c87 | refs/heads/main | 2023-02-23T12:51:16.688520 | 2021-01-27T17:40:50 | 2021-01-27T17:40:50 | 333,507,750 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 392 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "message_runtime".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "rosserial_esp32"
PROJE... | [
"jmyth742@gmail.com"
] | jmyth742@gmail.com |
16e39501d561ff8f399a048debeeac46a05ae18f | 7ec64481a66af49071db47c792e5b91390142ed9 | /tests/test_order_by_nested.py | 165f04e025111c51966b44e189c616bf99489ebb | [
"Apache-2.0"
] | permissive | rafalstapinski/tortoise-orm | 73943f0b3dcd84645db46df6dea047ab9dd586af | b310f4fc81e1b817e68110d118cd371280b05a8d | refs/heads/develop | 2023-05-25T09:10:42.249656 | 2021-06-07T03:54:05 | 2021-06-07T03:54:05 | 348,920,652 | 1 | 0 | Apache-2.0 | 2021-03-18T02:50:46 | 2021-03-18T02:50:45 | null | UTF-8 | Python | false | false | 1,032 | py | from tests.testmodels import Event, Tournament
from tortoise.contrib import test
class TestOrderByNested(test.TestCase):
async def test_basic(self):
await Event.create(
name="Event 1", tournament=await Tournament.create(name="Tournament 1", desc="B")
)
await Event.create(
... | [
"noreply@github.com"
] | rafalstapinski.noreply@github.com |
a148d4e1e27e766ce235e0dc45f050400b6627e0 | 739a84f15a1242ec715c79f4f1fd7657c607f2e6 | /intersection_arrays.py | 4c16b663b2f428c3ba5571ec36ed912e065e7a64 | [] | no_license | ElshadaiK/Competitive-Programming | 365683a7af61f881ee9cd56d2124f09cfb88e789 | 9757395120757a81fb5df0bd4719771e60410b47 | refs/heads/master | 2023-03-09T04:58:33.262626 | 2023-02-04T12:24:39 | 2023-02-04T12:24:39 | 225,391,846 | 10 | 0 | null | null | null | null | UTF-8 | Python | false | false | 352 | py | def intersection(nums1, nums2):
inter = [0]*1001
result = []
for i in range(len(nums1)):
inter[nums1[i]] = 1
for i in range(len(nums2)):
if(inter[nums2[i]] == 1):
inter[nums2[i]] = 3
for k in range(len(inter)):
if(inter[k] == 3):
result.... | [
"elshadaikassutegegn@gmail.com"
] | elshadaikassutegegn@gmail.com |
43d0686cbaf9a0f83c2c555ed97d2fe855a322ba | 2256e2a8d7958925a17a31871dc8c674a6f9e6df | /app/bot/core/middlewares.py | bfcf19f7819ad7440f3131662f9d2f6037c92df6 | [] | no_license | tabacdenis/fastapi-aiogram-template | 7694c5cf2bdca0412d8d3b99b29893bd79cbbb1a | e0b72c9154ece56e5b5139a341ba0bf760b37b20 | refs/heads/main | 2023-08-26T13:04:42.710513 | 2021-10-26T09:00:13 | 2021-10-26T09:00:13 | 518,385,537 | 1 | 0 | null | 2022-07-27T09:06:54 | 2022-07-27T09:06:53 | null | UTF-8 | Python | false | false | 2,608 | py | import asyncio
from aiogram import Dispatcher, types
from aiogram.dispatcher.handler import CancelHandler, current_handler, Handler
from aiogram.dispatcher.middlewares import BaseMiddleware
from aiogram.utils.exceptions import Throttled
def rate_limit(limit: float, key=None):
def decorator(func):
setattr... | [
"oopanndaa@gmail.com"
] | oopanndaa@gmail.com |
a1be7cf483a9faca9b09118b5a2e540a23142cb3 | 46e6c78186015ccdf5dae056c106572bb4fb156b | /Poisson/2DPoissonNN.py | 68a2530cabf4715436d03fe970dcaafa86adf832 | [] | no_license | dmontag23/NNAugmentationForPDEs | b28a67a18e89d19c37b08127b3505c65d8cac9a5 | 71168f812526ab698ebebcc956c2e28d3cb69d40 | refs/heads/master | 2021-05-21T05:49:52.598158 | 2020-04-09T03:56:26 | 2020-04-09T03:56:26 | 252,573,556 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,702 | py | import numpy as np
from datetime import datetime
from fenics import *
from fenics_adjoint import *
from Poisson.FEM import FEM
from Poisson.NN import Network
from scipy.optimize import minimize
np.random.seed(2)
def create_fenics_vector(update_vector):
q_function = Function(Q)
vertex_to_dofs = ver... | [
"dmontag23@gmail.com"
] | dmontag23@gmail.com |
9d8a62fa8fd0d64ef61638773107d879bd039073 | 8d85393bdae5cdef580dacbf2f296a6882bf765f | /polls/models.py | 18f57a0c31fd3bd42ca1519e7de3e53cbddd87ff | [] | no_license | rednibia/djangoproject | 6abb8462ad9aa2224553e4d5d2833a9e20e3ab74 | 679910b268c90f72ca8ec8ec93ca1c6fbe77b559 | refs/heads/master | 2021-01-10T05:06:34.946338 | 2016-02-01T19:37:59 | 2016-02-01T19:37:59 | 50,608,447 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | import datetime
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from django.utils import timezone
@python_2_unicode_compatible # only if you need to support Python 2
class Question(models.Model):
qtxt = models.CharField(max_length=200)
pd = models.DateTimeField('dat... | [
"andrewaibinder@gmail.com"
] | andrewaibinder@gmail.com |
fd3ead0ab8456a1f33d4469a8d99a8f7f42e9320 | 0bc80f7bba8d7dfa7b293759b0974b9707d8d450 | /testdir-9/test-99.py | 72e8f627f0d744e3698025d63a8b04ad6dc17d64 | [] | no_license | delcypher/lit-concurrency-windows-bug | da3d5edd63f5feaf8b8b65650e39c877f71f46d8 | 029eb69219e4b84d33072c26e02663e267a38304 | refs/heads/master | 2020-06-06T07:24:50.360611 | 2014-05-19T15:31:52 | 2014-05-19T15:31:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,231 | py | # RUN: python %s > %t
# RUN: %diff %s.expect %t
print('FOO 0x15bf60ecd0cd69f3')
print('FOO 0x60cd668746ccd0fa')
print('FOO 0x4ca8480914b6a7d8')
print('FOO 0x2e2a685136fefe6f')
print('FOO 0x515825fdda953ec7')
print('FOO 0x1ca9386430cfd8d2')
print('FOO 0x15aba69530aa97aa')
print('FOO 0x6c1c6788eaca56ec')
print('FOO 0x368... | [
"daniel.liew@imperial.ac.uk"
] | daniel.liew@imperial.ac.uk |
e55646a8119970163aeb64b6b83d2aa3d3d683ba | 5d60d0d3b474b8f225773330c2f0af63835e2625 | /python/analyze_essentia.py | 96269a0d03aaddfd9caaf367ef7e449c15fa3e7b | [] | no_license | julesyoungberg/soundboy | 3dcd62b031c6552c9ac99309d36245463b6ae4e6 | c20bd44b811df5fd399bb03c73ca89e33b5d7609 | refs/heads/main | 2023-02-02T18:29:38.596939 | 2020-12-13T22:12:56 | 2020-12-13T22:12:56 | 301,028,668 | 0 | 4 | null | 2020-12-13T22:12:57 | 2020-10-04T03:01:17 | TypeScript | UTF-8 | Python | false | false | 4,707 | py | import os
import shutil
import essentia.standard
import numpy as np
import essentia
from tqdm import tqdm
import matplotlib.pyplot as plt
import sklearn
def get_features(d):
try:
sr = 22050
duration = 3
nfft = 2048
#loader = essentia.standard.EasyLoader(filename=... | [
"noreply@github.com"
] | julesyoungberg.noreply@github.com |
aaadd0a0164a4f69dde6224c758243edc8c96d89 | 442ef15c5cba847a9ede88f7f29d8dab6d72f3dd | /apps/miniwallet/migrations/0001_initial.py | 742c76d5cb436d4215aa2851d13d555d25a4aaec | [] | no_license | roopagokul24/testproject | fd526be5dceb70da798282d6f808a32ebca01e09 | b638c7e4b621532196e8846bbc650f0ad5cb8e25 | refs/heads/main | 2023-06-18T21:51:45.215864 | 2021-07-13T18:33:12 | 2021-07-13T18:33:12 | 319,672,245 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,084 | py | # Generated by Django 2.2.3 on 2021-07-13 16:23
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | [
"roopa@impressads.com"
] | roopa@impressads.com |
5a6477db916abb1b00d44eb794a0c0276496e045 | 1afbf755dcb47649cdc5d1d3b908bcd4e60cf24f | /PreDisulfideBond/create_position.py | 726740568a783d6101baa986253c30bb4f4c3f7f | [] | no_license | romendlf/SSBONDPredict | cd64d74a4b1814e769ca196388687430fda3af34 | 524a1c1196377ad4960a1001f42fdd47f19c17bf | refs/heads/master | 2022-02-15T16:54:52.964907 | 2019-08-17T12:19:16 | 2019-08-17T12:19:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,387 | py | import rmsd
import numpy as np
import sys
# this function can produce the sixth position for redius who only have 5 atoms
def xyz5_position(i,lines):
template1 = np.array([[-0.93454, 0.91954, 1.11786],
[-0.01675, 0.03488, 0.58954],
[ 1.10621, 0.72253,-0.004 ],
[ 1.6148 , 1.14817,-0.57075],
[-0.6471... | [
"2646510513@qq.com"
] | 2646510513@qq.com |
91e913b259518577f842264f979128f64c4d2b13 | 2038db2aa17ec99980b8e942c0af3d1f55158c89 | /app/auth/__init__.py | 3133d442cf35c62f20bb47562253d9974c0545e9 | [] | no_license | Harithmetic1/Alium-Resume-Builder | 098011d5ac3a5e5eed8d7f8b431262c293cd90a5 | f147c15e0372d51449b41d5a29d4e40b61a7874a | refs/heads/master | 2022-12-31T02:10:09.392725 | 2020-10-09T20:29:41 | 2020-10-09T20:29:41 | 297,050,208 | 2 | 2 | null | 2020-10-09T20:29:43 | 2020-09-20T10:17:29 | HTML | UTF-8 | Python | false | false | 91 | py | from flask import Blueprint
auth = Blueprint(__name__, 'auth')
from app.auth import views | [
"koikibabatunde14@gmail.com"
] | koikibabatunde14@gmail.com |
54085cee412af380b8a7357d471d4a1373a35789 | 18781dfa8e93aeffe05575bf146f54b55bf43587 | /src/testscr/test.py | db4d69863700fb7f0ebd61a73552f0efebd7d272 | [] | no_license | sailepradh/Rare_variants_atherosclerosis | a7a34edf5cab8f35f0d0f82c96c5e1cb74a2707a | 344b1710630ea24e8e04f1a1eab10cfbee57f222 | refs/heads/master | 2020-12-02T20:57:19.985950 | 2018-01-29T13:30:44 | 2018-01-29T13:30:44 | 96,233,122 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,345 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
''' This scripts overlaps the alleles that are present in rare frequency in Swed samples.
Considering the rare frequncy of < 1% in the swed frequency data we can estimate the allele count as 1% of 2000 = 20 and removing the private variants present only in one individual ... | [
"sailepradh@gmail.com"
] | sailepradh@gmail.com |
c39d1267df6c369e0dbf84fff115e1bc9bd83566 | 0342288382bdf29396ff25985b4a9502ad1f8037 | /LeafNATS/engines/end2end.py | 986e8775e42ac5fb61b186d0b524c285b337a519 | [
"MIT",
"GPL-3.0-only"
] | permissive | rajpratim/TREQS | 321455e9bae3468040d525984401565882080a99 | 773e946aeb2013679b8824e177c4d5a3e6268118 | refs/heads/master | 2020-07-02T18:02:52.247008 | 2019-08-10T05:20:00 | 2019-08-10T05:20:00 | 201,615,111 | 0 | 1 | MIT | 2019-08-10T10:29:11 | 2019-08-10T10:29:11 | null | UTF-8 | Python | false | false | 16,600 | py | '''
@author Tian Shi
Please contact tshi@vt.edu
'''
import glob
import json
import os
import pickle
import re
import shutil
import time
from pprint import pprint
import numpy as np
import torch
from torch.autograd import Variable
from LeafNATS.data.utils import create_batch_file
from LeafNATS.utils.utils import show_... | [
"wangpinggl@gmail.com"
] | wangpinggl@gmail.com |
d845a35fbcb26effd1e00ba291cc588970a99974 | 58a0ba5ee99ec7a0bba36748ba96a557eb798023 | /Olympiad Solutions/URI/1383.py | 49e1281ab9a943fd05a98225692854fb1e43eef5 | [
"MIT"
] | permissive | adityanjr/code-DS-ALGO | 5bdd503fb5f70d459c8e9b8e58690f9da159dd53 | 1c104c33d2f56fe671d586b702528a559925f875 | refs/heads/master | 2022-10-22T21:22:09.640237 | 2022-10-18T15:38:46 | 2022-10-18T15:38:46 | 217,567,198 | 40 | 54 | MIT | 2022-10-18T15:38:47 | 2019-10-25T15:50:28 | C++ | UTF-8 | Python | false | false | 823 | py | # Ivan Carvalho
# Solution to https://www.urionlinejudge.com.br/judge/problems/view/1383
#!/usr/bin/env python2.7
# encoding : utf-8
ordem = int(raw_input())
padrao = range(1,10)
resposta = []
for j in xrange(ordem):
aquilo = "Instancia %d" % (j+1)
resposta.append(aquilo)
array = []
teste = 0
for i in xrange(9):
... | [
"samant04aditya@gmail.com"
] | samant04aditya@gmail.com |
a2f3b5ebace3044d558ab70daa354bccd7830a35 | 9ca7c1c36ada61da86a631e2e1e867dfbbd728b0 | /booksvenv/bin/pip2 | bf31215135ccf45832e1eb58b17f7c75441885e3 | [] | no_license | SamCD/BooksLibrary | e4e4afb5e1e5fbeb258058d2437a6f57624cecf0 | bed01595948c3520d7a9d5fa622efa7efccb039a | refs/heads/master | 2021-01-01T17:47:13.912366 | 2015-05-20T15:26:28 | 2015-05-20T15:26:28 | 35,551,799 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 240 | #!/Users/samdevries/BooksLibrary/booksvenv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"samuel.cohen-devries@spsmail.cuny.edu"
] | samuel.cohen-devries@spsmail.cuny.edu | |
2eda5e250552c59ee04b8494c22fdb56912333d0 | d05fa3feec04c19dad98479a136629039e3bc321 | /casepro/contacts/migrations/0011_migrate_suspend_groups.py | 6064ce3376342c6250de3627e62962f6353ea499 | [
"BSD-3-Clause"
] | permissive | digideskio/casepro | dc3f028ad8a6f49c01cff2dc56bf7c2ce92166c9 | 54ad1fb58300c86ae07344b2094681106d34b146 | refs/heads/master | 2020-05-29T11:02:58.368483 | 2016-03-10T10:55:40 | 2016-03-10T10:55:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,300 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import json
from django.db import migrations
def create_suspend_groups(apps, schema_editor):
Org = apps.get_model('orgs', 'Org')
Group = apps.get_model('contacts', 'Group')
num_created = 0
num_updated = 0
for org in Org.objects.al... | [
"rowanseymour@gmail.com"
] | rowanseymour@gmail.com |
e6ba3ac66a8898dea92e6348d518bdbf659925b9 | f7f49b9270770cde802cb4cc2eea4f0ade10a37c | /main.py | 6e3c82fd5e5b3925f52d3e3119d7cd6ef7c79263 | [] | no_license | dphillips97/get_naics | f590c4e50cef44e127bd2387fecb5eb6c737fec7 | 741578a381a81c71f1affaeb8595310cd48f0df2 | refs/heads/master | 2021-04-03T01:08:38.281556 | 2018-03-12T17:15:50 | 2018-03-12T17:15:50 | 124,593,805 | 0 | 0 | null | 2018-03-12T01:14:05 | 2018-03-09T21:12:43 | Python | UTF-8 | Python | false | false | 3,952 | py | import requests
from bs4 import BeautifulSoup
import openpyxl
import re
import time
'''
1st function call. Searches siccode.com for business name (from Excel)
and returns all <a> tags if there are multiple results. One of these urls
on the results_page will be the business in Madison Heights/MI.
'''
# biz_name is from... | [
"dphillips97@gmail.com"
] | dphillips97@gmail.com |
282e01cb76a6f171cf0789150afa6235eb4fa83e | 3a238c585bb77b6a810d187d571cb2531ad58652 | /valuation.py.bak.py | 031deba021575bc2a173320d20e62575d974d500 | [] | no_license | majidmvulle/vehicle-valuations-py | 21b050b7fba6e6c619f4932dd535eeb2526bd536 | 24fc3e4426acf5bbd76aa1161ddf7db1d7b64cdb | refs/heads/master | 2020-04-12T14:05:38.273507 | 2018-12-17T08:08:04 | 2018-12-17T08:08:04 | 162,541,830 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,432 | py | __author__ = 'Majid Mvulle'
from sklearn import svm
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsRegressor
from sklearn.linear_model import LinearRegression, LogisticRegression
from sklearn.svm import SVR
from sklearn.metrics import r2_score
from sklearn.model_selection import train_test_spl... | [
"majid@majidmvulle.com"
] | majid@majidmvulle.com |
2750d95d9a234865ce4e69664a00150eba2adc59 | ff14cd290a7ddcce5de31ebf08dabb65181480d1 | /test/solve.py | 28384b5557449514300a30301b814cf10519c4e3 | [] | no_license | ohk990102/pwntools-addon-dockerized | ea56fbf1181972d7c3e6bd045f0bf4194dc524cb | 361851b0fced672f62cc88fb7c17d416ce1a9f68 | refs/heads/master | 2022-11-12T14:51:01.963599 | 2020-07-04T16:01:02 | 2020-07-04T16:01:02 | 277,038,197 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 322 | py | from pwn import *
from dpwn import dockerized
# context.log_level = 'debug'
context.terminal = [ '/home/ohk990102/vscode-terminal' ]
if __name__ == "__main__":
p = dockerized('./realloc', baseimage='ubuntu:19.04', prefer_dockerfile=False, withgdb=True)
gdb.attach(p.gdbsock, exe='./realloc')
p.interactive... | [
"ohk990102@naver.com"
] | ohk990102@naver.com |
7690eaa3ec1c6f41e0e564d537acf9b26d2baafb | 717ed5f54ff1244f6d85df1c3207b584767dca35 | /detect_face.py | 4a7b647a34839b9fd5b28384218a8f82c4f72ae3 | [] | no_license | yasin-esfandiari/IranianCelebritiesFacialRecognition | e9a46f42d3deb15d982b6ee440022179ebe1e97e | 4d2c718b49170ce1aa801b7aa74b423b7f1e1c8a | refs/heads/master | 2020-07-26T22:13:43.938805 | 2019-09-16T11:17:26 | 2019-09-16T11:17:26 | 208,780,882 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 32,501 | py | """ Tensorflow implementation of the face detection / alignment algorithm found at
https://github.com/kpzhang93/MTCNN_face_detection_alignment
"""
# MIT License
#
# Copyright (c) 2016 David Sandberg
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associa... | [
"yasin.esfandiari1733@gmail.com"
] | yasin.esfandiari1733@gmail.com |
0d66598ee32ccfc0d64f148e09b532ab4ded4c4b | 5711615cf36dd216a637b2bbe3ed57a93b86a308 | /component.py | a1bd2ce145c54f2e752ce80476b684ab33497c59 | [] | no_license | kanandian/opencv_test | 4f013734c10d3447989da45d66d5b65280ff48ee | a91d26cc4270486b8370e9a8004d085ad357726e | refs/heads/master | 2020-09-11T21:04:05.745447 | 2019-11-29T13:12:34 | 2019-11-29T13:12:34 | 222,189,896 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,690 | py | import constant
import random
import mthread
import math
import hand_dectect
from PyQt5.QtWidgets import QMainWindow, QLabel
from PyQt5.QtGui import QPixmap
from PyQt5.QtCore import QBasicTimer, QRect
class Leaf:
def __init__(self):
self.pixmap = QPixmap('images/yezi.png')
self.label = 0
s... | [
"893979892@qq.com"
] | 893979892@qq.com |
7b982d89cc00e48375943057fe4852658acece6b | 32be8eb323f230d3e97f321cf58ae799632289a0 | /ddos/ddos_server.py | 500309fe69c7a43e5cde5a60a44f84c470dc7d56 | [] | no_license | clouddreamfly/PyTools | 838852c669423ccdaebf8cbb8fe29fece5fd24b4 | 329f985a0b981c41d9872158d6c9b814a9903c0c | refs/heads/master | 2023-03-07T19:39:51.984162 | 2023-03-02T16:23:45 | 2023-03-02T16:23:45 | 240,286,058 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,387 | py | #!/usr/bin/python
# coding:utf8
import socket
import argparse
import threading
import time
socketList = []
# 发送命令到所有的客户机上
def sendCmd(cmd):
print('Send command....')
for sock in socketList:
sock.send(cmd.encode())
# 等待连接，将建立好的连接加入到socketList列表中
def waitConnect(s):
while True:
... | [
"dreamfly6789@gmail.com"
] | dreamfly6789@gmail.com |
af28415c6367cc31cfcb82f3f071ada9026749b2 | 1b5f653955779f45e78ca6dda925518779d09e8f | /submissions/1492.py | c75247fa6f7781dc034982b8cc8bd8da3cd85ab8 | [] | no_license | LeonardoSaid/uri-py-solutions | ad285f552934ead54ad2410e23113e84b0724f72 | 43c10c0e99e99d22b4b5ae2871e5d897f8823b42 | refs/heads/master | 2020-08-11T00:28:48.661578 | 2020-04-23T20:21:39 | 2020-04-23T20:21:39 | 214,453,627 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 369 | py | import math
def count(n):
ans = 0
acc = 1
while acc <= n:
a = n - acc + 1
b = 2*acc
ans += a // b * acc
ans += min(a % b, acc)
acc = 2* acc
return ans
def getAns(a,b):
return count(b) - count(a-1)
while True:
try:
a,b = map(int, input().split())
print(... | [
"noreply@github.com"
] | LeonardoSaid.noreply@github.com |
a5e19b23102e5dcf67188ec4e0263b1fcdb76ea3 | 54cfd2c2505da41fb4657c36ebc40e886bdb33c9 | /model/graph.py | e87ee4a4a655d7e7ecf9854212a0ced865812f8a | [] | no_license | VamshiTeja/Recommendation-Systems-Using-DL | c4bcf672e5b705a913a035c861d3082d357fc3e4 | c92f04376645e80f9664baf39b41e2f6e23c0a52 | refs/heads/master | 2020-03-28T13:51:56.464480 | 2018-10-25T10:44:34 | 2018-10-25T10:44:34 | 148,436,653 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,152 | py | # -*- coding: utf-8 -*-
# @Author: vamshi
# @Date: 2018-02-04 00:39:34
# @Last Modified by: vamshi
# @Last Modified time: 2018-02-10 12:32:44
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
sys.path.append("../")
import dateutil.parser
import... | [
"rachavamshiteja@gmail.com"
] | rachavamshiteja@gmail.com |
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