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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ec84bc86da9c040e55f96ebe3912b999e103f8e6 | ef747128ca172497eb9569493008f6d0d3b76468 | /BinaryTree/MaxElementBinaryTree.py | ca7ca804dfa2ce504fa35b1ecc1171e6afa4f730 | [] | no_license | sharvilshah1994/LeetCode | 62e152c0bfd574cdbd38bc0192e46a6267f67b70 | 369dafe10dfb693c053f329ce7e5f93a77d1d229 | refs/heads/master | 2020-12-30T09:37:47.085224 | 2017-10-27T19:42:16 | 2017-10-27T19:42:16 | 100,426,929 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 828 | py | class BinaryTreeNode(object):
def __init__(self, x):
self.data = x
self.left = None
self.right = None
def build_tree():
t = BinaryTreeNode(1)
t1 = BinaryTreeNode(2)
t2 = BinaryTreeNode(3)
t3 = BinaryTreeNode(4)
t4 = BinaryTreeNode(5)
t.left = t1
t.right = t2
... | [
"[email protected]"
] | |
668657bcff004b73d7f1774f4f953091a5bf649f | 3f55607c033fef615f8d0f9ef8d284f43d1709a1 | /shop/shop/settings.py | 04d5a80fe47afc58d6e082ce02f49aedb74d8b9d | [] | no_license | aakashres/shoppingcart | d37f7425f8585ac0463153a90ae4f1d2ed49c460 | 2060fac698130b78860072f5fcc0532ec716d087 | refs/heads/master | 2022-11-09T15:55:27.061262 | 2017-04-04T15:00:08 | 2017-04-04T15:00:08 | 273,651,566 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,505 | py | """
Django settings for shop project.
Generated by 'django-admin startproject' using Django 1.10.5.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
#... | [
"[email protected]"
] | |
780b80fa6885808a6cd823a419b5f2faea5eb627 | 48d6f70f2a97659ccc60e50c222477b98adb57b4 | /XOR/tensorflow_xor.py | c7046d300ce77228c508b6219a4ed9e646ea3e81 | [] | no_license | Anosy/tensorflow_DL | e1953112fb11f44fe2ac879b8e142a7e428478c0 | 5b64d3d1a3dbb481b7382100fb00006ab021408a | refs/heads/master | 2020-03-25T22:51:30.972034 | 2018-09-18T02:29:22 | 2018-09-18T02:29:22 | 144,246,341 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,600 | py | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
# 定义学习率和输入的样本
learning_rate = 0.001
x_data = np.array([[0., 0.], [1.0, 0.0], [1.0, 1.0], [0.0, 1.0]])
y_data = np.array([[0], [1], [0], [1]])
# 定义占位符
x = tf.placeholder(dtype=tf.float32, shape=(None, 2))
y = tf.placeholder(dtype=tf.float32, sha... | [
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] | |
91cb763aa8be76ec2433bcc71f0dbe10801c7b84 | daf6302fc060c45832b377c91a099a2c59fe878f | /loss.py | 8a486863754effdb7468e7d8c4ba3d5df1fe810b | [] | no_license | BUCT-Vision/Vessel-wgan-pytorch | 2277af4b5cb5a386550d03f431f00ed4df508b00 | d78a3e95a41e19e809c4ae10ebb88b57e20cf468 | refs/heads/master | 2020-03-18T23:39:26.929120 | 2018-05-29T15:11:54 | 2018-05-29T15:11:54 | 135,416,942 | 1 | 0 | null | 2018-05-30T09:03:37 | 2018-05-30T09:03:37 | null | UTF-8 | Python | false | false | 619 | py | import torch
import torch.nn.functional as F
import torch.nn as nn
# Recommend
class CrossEntropyLoss2d(nn.Module):
def __init__(self, weight=None, size_average=True):
super(CrossEntropyLoss2d, self).__init__()
self.nll_loss = nn.NLLLoss2d(weight, size_average)
def forward(self, inputs, targets... | [
"[email protected]"
] | |
c20219e71fe96fd7ae87fe46a2305941c63e2a61 | 161f02552f5b50d395aedb2a8354b830efe09ef3 | /setup.py | ecc057a51d2f31c09576bd383975eb71a6d7869d | [
"MIT"
] | permissive | DuongVu39/HAM_Python | 8f79f8d6ca383b0b47ec9ae7cd3884d7313c3026 | 890229beb71848697c27baa767556265d60657c2 | refs/heads/master | 2021-05-02T07:30:01.436525 | 2018-04-18T00:35:15 | 2018-04-18T00:35:15 | 120,830,699 | 0 | 0 | MIT | 2018-04-05T06:42:09 | 2018-02-08T23:26:58 | Python | UTF-8 | Python | false | false | 336 | py | from setuptools import setup
setup(
name='HAM_Python',
version='v1.0',
author='Duong Vu, Jordan Dubchak, Linsey Yuo',
long_description=open('README.md').read(),
install_requires=['setuptools', 'pandas','numpy', 'seaborn', 'matplotlib'],
include_package_data=True,
license='MIT ... | [
"[email protected]"
] | |
738ccfdc065fe7dca2e9f447d08b1b9d1849b6ee | dae2d6550f93993d6a1902f7d0041b8b01d691a2 | /minesweeper/agents/__init__.py | 50512dbe4c53402d2adeefe63cc029540803985a | [
"MIT"
] | permissive | MathisFederico/Minesweeper | e43335bca5c4b71b1d4e5f061ed969db8ab02fe4 | b66b41066e325813b24497d2caca0a11c048e18b | refs/heads/master | 2023-02-06T11:06:39.947347 | 2020-12-23T03:47:39 | 2020-12-23T03:47:39 | 323,767,338 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 98 | py | from minesweeper.agents.random import RandomAgent
from minesweeper.agents.human import HumanAgent
| [
"[email protected]"
] | |
3d36dbc5583d5cb355da674315a9ffcab53ce226 | 69c0b9b0f8ddae8758f6f10b7df7548dfd2c2f25 | /hero_wiki/urls.py | 0714ad5b154813f606e08b6441faf586353ea848 | [] | no_license | manuzinha0901/Universo_Heroi | 624a300f97f4c6e6c63b0c6eea446b8bcbdcc11e | 501544cfdce09356e06b43590d6f9e65c14f7031 | refs/heads/master | 2020-08-04T01:24:04.120040 | 2019-10-01T17:30:43 | 2019-10-01T17:30:43 | 211,951,945 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 751 | py | """hero_wiki URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/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-bas... | [
"[email protected]"
] | |
c1358985d3e4df57a8045594b2803d1011b67c6d | c015ecc8883b362d51270614dd0ce62f7afab82a | /env/Scripts/django-admin.py | 5ce7aa2586a2034464082a0dfcfe91a0493efff7 | [] | no_license | KunduzA/my-first-blog | 97b11662fb6b69fe50ffa878d8d4392695d14447 | bc1b794335bf49f8df7618eee6455b4831177da3 | refs/heads/master | 2022-11-09T23:22:58.067706 | 2018-12-25T18:02:49 | 2018-12-25T18:02:49 | 163,103,773 | 0 | 1 | null | 2022-10-27T21:50:45 | 2018-12-25T18:27:47 | Python | UTF-8 | Python | false | false | 205 | py | #!c:\users\user\desktop\students_hotstart-django2\students_hotstart-django2\env\scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
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] | |
c05d912a82fe7868f933980db31c66de96480241 | fbec4e681d202795dcafa898343e1a1136e1e641 | /ex/ex14.py | 4bb57eb3b971221203360d567c3d353f95a72234 | [] | no_license | hu22333/git | f00395d900fcb483f07d4b2c082723f75debb17a | 2158a100cca8a462c1ea695a7250fac317ce6560 | refs/heads/master | 2020-05-17T05:51:39.191988 | 2019-06-25T14:18:20 | 2019-06-25T14:18:20 | 183,546,043 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 491 | py | #ex14.py
from sys import argv
script,user_name=argv
prompt='>'
print(f"Hi {user_name},I'm the {script}.")
print(f"I'd like to ask you a few questions.")
print(f"Do you like me {user_name}?")
likes=input(prompt)
print(f"Where do you live {user_name}?")
lives=input(prompt)
print("what kind of computer do you have?")
... | [
"[email protected]"
] | |
68a6c3f8d79e68f900192f990f44df1043eb2a73 | 15538c486f83e665f30f6f7feac8906d5e622739 | /Django Social Clone/accounts/urls.py | b61c41fce42cfa3a5d7534f614f923ffabf3fede | [] | no_license | Phani-rockzz/Django-Social-Media-Clone | e5e909b8df33574cf324d03dd05c27d8e3b35f43 | 5254405f512fe0cab5369dbc9c48d79e27577340 | refs/heads/master | 2022-04-20T23:36:01.114391 | 2020-04-24T14:05:17 | 2020-04-24T14:05:17 | 258,528,427 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 414 | py | from django.conf.urls import url
from django.urls import path
from django.contrib.auth import views as auth_views
from . import views
app_name = 'accounts'
urlpatterns = [
url(r'login/$',auth_views.LoginView.as_view(template_name='accounts/login.html'),name='login'),
url(r'logout/$',auth_views.LogoutView.as... | [
"[email protected]"
] | |
24cdcbecc7eafa54f83bb32c05eaadece9ae923c | 24caa6710105a060fab2e17147e6d56609939011 | /05-Importing_Data_in_Python_(Part_1)/03-Working_with_relational_databases_in_Python/09-Pandas_for_more_complex_querying.py | c6ed202627f94fe3a86b7922d627daf248673cce | [] | no_license | inverseundefined/DataCamp | 99607022ad3f899d7681ad1f70fcedab290e269a | 7226b6b6f41888c3610a884db9a226e013d37e56 | refs/heads/master | 2022-01-10T00:53:21.714908 | 2019-07-24T13:27:49 | 2019-07-24T13:27:49 | 198,280,648 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,247 | py | '''
Pandas for more complex querying
Here, you'll become more familiar with the pandas function read_sql_query() by using it to execute a more complex query: a SELECT statement followed by both a WHERE clause AND an ORDER BY clause.
You'll build a DataFrame that contains the rows of the Employee table for which th... | [
"[email protected]"
] | |
42347cd2395456036282ba3e3ef1dcf7ac6fc818 | 7394523d3b0d3424d8c88f63c603fafb275a167a | /read_json_data.py | c47913f041bfcdf7657e06616f355d2a3a19287d | [] | no_license | teckhockng/capstone | d294679e1155f144d3601e7c75629286111b672d | df7b479af62f5b84ccf788cd06d91daf15cf6ca8 | refs/heads/master | 2023-08-08T07:58:34.489476 | 2023-08-01T04:48:16 | 2023-08-01T04:48:16 | 220,571,317 | 0 | 0 | null | 2022-12-08T07:31:17 | 2019-11-09T00:55:29 | C | UTF-8 | Python | false | false | 935 | py | import requests
import json
# from tqdm import tqdm
# import time
class nba_data():
def __init__(self):
pass
def get_json():
team_names = ['ATL','BOS','BKN','CHA','CHI','CLE','DAL','DEN','DET','GSW','HOU','IND','LAC','LAL',
'MEM','MIA','MIL','MIN','NOP','NYK','OKC','ORL',... | [
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] | |
11625958117885ecc2c95dd6488ab0372a8be249 | 645d505621ad3f76ca49cb98a9579a1d3bdba155 | /Untitled-1.py | baaf19c1ebba20204ee350dc2693967563af1d58 | [] | no_license | bdotray/user-signup | fadbaa1a05484940c3f9015b81e82d4d4d64ab1d | 8054dd17e76bb7f75be614c20bdbb677bbbea2b6 | refs/heads/master | 2021-10-28T20:30:56.972746 | 2019-04-25T01:02:56 | 2019-04-25T01:02:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 196 | py | from flask import Flask, render_template
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index-file.html')
if __name__ == '__main__':
app.run(debug=True) | [
"[email protected]"
] | |
acbba4747ce519459fbf2469da605af9eea65ced | 25b72885bbf9605092f0ee9f7a03d9ce7734ee73 | /CyberStorm/THE_hunt/FTP_fetcher.py | eeb24bf9ea7e809a45d93065aaac032e68fa7251 | [] | no_license | Zacherybignall/csc_442 | ec68dfe21c7a209e497e36da1d7582804395557e | 73d5c1918f484f8c187a4b24ad54e2ba1ce36ac5 | refs/heads/master | 2022-07-02T23:17:13.536274 | 2020-05-18T17:04:31 | 2020-05-18T17:04:31 | 264,207,228 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,876 | py | """
Name Zachery Bignall
Tilte : FTP (Storage) Covert Channel ( homework three)
version of python : 3.6
note to Dr.goud{ if you read this} just wanted to let you know that python works different in winodows and linux from command line .
#i did not know this. testing thigns in linux and in windows from now on, jus... | [
"[email protected]"
] | |
f82aa4de85fb74911b7ac6cb4cb31c3ec50e347d | b33b72871b7ab86a3479603d0563c39dafe48172 | /src/train.py | 03c6624a7a5af59fc3094a71d0776a0fdacc05cf | [
"MIT"
] | permissive | michalnand/sequence_classification | 96f190909583a54d4202e47cc5e2b39fb8fc111f | 2ef0bdc4f9e1d455b6b03357d31af823c60e32d8 | refs/heads/master | 2022-06-01T17:29:30.588848 | 2020-04-28T13:18:36 | 2020-04-28T13:18:36 | 259,642,116 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,734 | py | import libs_dataset.magnetometer_read as Dataset
import models.net_0.model as Model
training_data_files_list = []
training_categories_ids = []
testing_data_files_list = []
testing_categories_ids = []
dataset_path = "/Users/michal/dataset/car_detection/"
'''
training_data_files_list.append(dataset_path + "dataS1R... | [
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] | |
b19b553273708892d03cdfc7f70263dea147d7d4 | fcd1ac6d7349aea4219a22b6e3ae82797c98b5da | /src/components/action_selectors.py | 16ad8ef4056972b1c1f2af98029a0df20ce6f9e0 | [
"Apache-2.0"
] | permissive | multiagent-arn/ARN | ce339a1be37fa457cd29b68dde25a6d55ad72761 | eb566fcab409965ea4684b6a18c433d34562d0d6 | refs/heads/master | 2022-12-08T13:40:33.362080 | 2019-05-23T03:08:16 | 2019-05-23T03:08:16 | 185,226,977 | 2 | 0 | Apache-2.0 | 2022-11-22T03:14:23 | 2019-05-06T15:49:09 | Python | UTF-8 | Python | false | false | 2,337 | py | import torch as th
from torch.distributions import Categorical
from .epsilon_schedules import DecayThenFlatSchedule
REGISTRY = {}
class MultinomialActionSelector():
def __init__(self, args):
self.args = args
self.schedule = DecayThenFlatSchedule(args.epsilon_start, args.epsilon_finish, args.eps... | [
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] | |
1a0b7143d2c2b29b069550d8002135bda9119eac | 55f00741bf2ab20e2ea5ef1667e4bed744c9f491 | /hacking/checks/comments.py | c78a8caa159262b2a6eadb41e0e2ea2f48ff7392 | [
"Apache-2.0"
] | permissive | krishnamk00/hacking | 683814b8d9150b71537879ec694c993acfecaa40 | aba58c846ce7d6aab59a3fa0f9c40eb8834cff94 | refs/heads/master | 2021-05-27T05:04:36.437991 | 2014-04-25T01:54:42 | 2014-04-28T19:58:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,688 | py | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed u... | [
"[email protected]"
] | |
98af5acc6c01082ff464a39f6b01cd7bb7d5c1f2 | 83621026a32bdc5800113957dc5518ad25a9068b | /setup.py | 70f5a67c97afc1e7d33f2822bab6738272652388 | [] | no_license | kerpowski/ChessAI | 78f83b49392db5900174418aad0ee95ca5dcac04 | 113ec134504b718d078b2b3795d9481373a4cfae | refs/heads/master | 2020-12-24T16:50:34.560141 | 2015-02-19T07:32:10 | 2015-02-19T07:32:10 | 30,951,038 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 589 | py | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 14 16:42:51 2015
@author: kerpowski
"""
from distutils.core import setup
from Cython.Build import cythonize
import numpy
sourcefiles = ['ChessLib.py', 'ChessAI.py']
compiler_directives={#'profile': True,
'boundscheck': False,
'... | [
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] | |
dd15eca3d521afbdc79bca58fa83066ccbc92404 | 3337e9150a743e0df2898528dd1e4dfac9730b25 | /artemis/general/mymath.py | e60d306dc6a969ee2e04e2cb9db36f9d9ba7edad | [] | no_license | ml-lab/artemis | f3353cb462b06d64e1007010db94667b4703c90e | b4f5f627f1798aff90b845d70fd582142a9f76c8 | refs/heads/master | 2021-01-22T06:49:41.346341 | 2017-09-01T15:31:13 | 2017-09-01T15:31:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,159 | py | import logging
from artemis.general.should_be_builtins import memoize, bad_value
import numpy as np
from scipy.stats import norm, mode as sp_mode
try:
from scipy import weave
except ImportError:
logging.warn("Could not import scipy.weave. That's ok, ignore this unless you need it.")
__author__ = 'peter'
# Not... | [
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] | |
c7d5357b3174e3eba0e4d7ebff79be4a7d3ceb48 | 7b06781892e624146ce8a6928c5d44672a805f76 | /abastos/products/views.py | 89c45e2d06c32b86987136ca6f21cca0952d06bd | [] | no_license | adelebrgx/abastos | f3f2bb242bdc135a0b41e86e2d0092c6d9f73e68 | 70f6d63462a9cc0a57e97846977e65885abea3c2 | refs/heads/master | 2022-11-11T07:56:50.329272 | 2020-06-15T13:58:00 | 2020-06-15T13:58:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,945 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from .models import Product
from sell.models import SellPair
from .import forms
from django.http import HttpResponse
import re
from urlparse import urlp... | [
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] | |
d4f80fa882a355e2bf6591941db0d7867814e911 | 3d70f9c2773def4e3c27f6bac2df36652b8ed83b | /randomdump/anti.py | 6aeff0f2f4c95c6440cd0b0b4e1d73aa750c15ce | [
"MIT"
] | permissive | hmumixaM/anything | 50d094b9c534455b2496e216fb85ab8a832a6814 | 5810132118d6d3f3859d607fca068c8275d4bf42 | refs/heads/master | 2023-05-11T20:42:25.083422 | 2020-03-06T06:21:49 | 2020-03-06T06:21:49 | 199,136,701 | 0 | 0 | MIT | 2023-05-01T21:20:19 | 2019-07-27T08:15:13 | HTML | UTF-8 | Python | false | false | 778 | py | import requests
import random
from fake_headers import Headers
import names
import threading
count = 1
def hehe():
while True:
n = names.get_first_name() + '@ad.unc.edu'
p = ''.join(random.sample('1234567890qwertyuiopasdfghjklzxcvbnm!@#$%^&*()', 10))
header = Headers(headers=False)
... | [
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] | |
0f9bf124f49507e8e88f9c99a67d39996068f0e1 | f090c3e0faa70cf0ef7c4be99cb894630bce2842 | /scripts_201410/simpleMeasurements/FFT/micromotioncompensate.py | 61e0fc2a67cd09a122b42c0821e42d4d1b12e7ff | [] | no_license | HaeffnerLab/resonator | 157d1dc455209da9b7de077157bda53b4883c8b7 | 7c2e377fdc45f6c1ad205f8bbc2e6607eb3fdc71 | refs/heads/master | 2021-01-09T20:48:03.587634 | 2016-09-22T18:40:17 | 2016-09-22T18:40:17 | 6,715,345 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 683 | py | from FFT import measureFFT
import numpy as np
import labrad
import time
cxn = labrad.connect()
dv = cxn.data_vault
recordTime = 0.5 #seconds
average = 4
freqSpan = 50.0 #Hz
freqOffset = -889 #Hz, the offset between the counter clock and the rf synthesizer clock
#setting up FFT
fft = measureFFT(cxn, recordTime, avera... | [
"[email protected]"
] | |
db98033897b4a03b67eadb5d8c0e7a324bc82fb5 | 1ebbe757b1143b774b7894f5c38552d7a03f45c2 | /hm/python/Complexe.py | 6f7a0a8d36ce98aa4191352b4261abdee27c4b70 | [] | no_license | bertrandh123/2019-npfl104 | 92b5705a3851b2078a082df1a6a1a8604ec36fb8 | 496335f35beaa414f8b827d16c55b1b17b217329 | refs/heads/master | 2020-04-29T09:48:40.461869 | 2019-03-20T18:08:08 | 2019-03-20T18:08:08 | 176,038,978 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 606 | py | class Complexe:
def __init__(self,re,im):
self.re,self.im=re,im
def add(self,r,i):
self.re+=r
self.im+=i
def sub(self,r,i):
self.re+=-r
self.im+=-i
def __str__(self):
if self.im>0:
print(str(self.re)+'+'+str(self.im)+'i')
else:
print(s... | [
"[email protected]"
] | |
fec1c1260cfa72255d7da4f655922ef3b8c9177a | e075ec44df27d776d2ed2581f1c9448eb34b7f0d | /src/dashboards/graphs/migrations/0003_auto__del_field_kpi_values__add_field_kpivalue_kpi.py | ff688fcbbeca20250cb5027bbf1cbf273fe92d87 | [] | no_license | stereoit/dashboards | f5eeca34561ebc3847c58311b22ec17170cc9193 | 14d9f889cd240a9f5770b130a2628cb7d068a327 | refs/heads/master | 2021-01-25T10:20:51.520809 | 2012-09-18T14:56:37 | 2012-09-18T14:56:37 | 5,284,894 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,227 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Deleting field 'KPI.values'
db.delete_column('graphs_kpi', 'values_id')
# Adding field 'KPIValue.... | [
"[email protected]"
] | |
8939e5cabbb2aec509f3ddb98bf673a0615b5918 | 10263cf024d58360f312189aef89c4289f732020 | /shop/views.py | 992e88f64e68f2f76cbf1990424da69e2f550407 | [] | no_license | mlobina/django-fin | e1e5085d5048f88ae335cc84c8a252e53a600ca1 | 6595dfe57c44f31e80e32bb736aafb6e3590afea | refs/heads/master | 2023-06-17T14:54:50.974551 | 2021-06-29T10:38:50 | 2021-06-29T10:38:50 | 381,179,562 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,168 | py | from rest_framework import viewsets, permissions
from django.contrib.auth.models import User
from shop.models import Product, ProductReview, Collection, Order
from shop.serializers import ProductSerializer, ReviewSerializer, CollectionSerializer, OrderSerializer, UserSerializer
from django_filters.rest_framework import... | [
"[email protected]"
] | |
0b8d79dc193c5e2bc349ca96dd149172f4b2ea40 | c42f45d20dee9c27869e24a5ed9a367a6be44a5f | /dnsmanager/management/commands/importbind.py | 219caeeda4193d8d2510fa9f1600b9ebca0b9519 | [
"BSD-3-Clause"
] | permissive | rhilo/django-dnsmanager | a4b15e1a4c983597e6e5b958d4217ea614b03342 | 00f4211d6a57f038fad46409892768c1f72791f4 | refs/heads/master | 2023-06-30T01:58:38.042136 | 2017-03-20T03:37:17 | 2017-03-20T03:37:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,216 | py | import os
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from django.db.models.loading import get_model
from dnsmanager.models import Zone
class Command(BaseCommand):
args = '<zone_file zone_file ...>'
help = 'Import the specified Bind zone file'
def h... | [
"[email protected]"
] | |
df7b27de7032e41159d2757d07e22dd5bf52718c | cad91ae76d2746a6c28ddda0f33a58f9d461378f | /TensorFlow2/LanguageModeling/BERT/dllogger_class.py | be211785d770825978dc9b4cb32631e11f2435bc | [] | no_license | NVIDIA/DeepLearningExamples | fe677521e7e2a16e3cb0b77e358f9aab72f8c11a | a5388a45f71a949639b35cc5b990bd130d2d8164 | refs/heads/master | 2023-08-31T20:57:08.798455 | 2023-08-23T10:09:12 | 2023-08-23T10:09:12 | 131,881,622 | 11,838 | 3,124 | null | 2023-08-28T16:57:33 | 2018-05-02T17:04:05 | Jupyter Notebook | UTF-8 | Python | false | false | 2,852 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2021, NVIDIA CORPORATION. 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/lic... | [
"[email protected]"
] | |
0332c4d5e620cd87f9b70d77e4f57a67c07e72a3 | 3b89c0a97ac6b58b6923a213bc8471e11ad4fe69 | /python/CodingExercises/MoveSpacesFrontString.py | af9641cf57932b4daa0e84d62d196bc3aa65de22 | [] | no_license | ksayee/programming_assignments | b187adca502ecf7ff7b51dc849d5d79ceb90d4a6 | 13bc1c44e1eef17fc36724f20b060c3339c280ea | refs/heads/master | 2021-06-30T07:19:34.192277 | 2021-06-23T05:11:32 | 2021-06-23T05:11:32 | 50,700,556 | 1 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,116 | py | '''
Move spaces to front of string in single traversal
Given a string that has set of words and spaces, write a program to move all spaces to front of string, by traversing the string only once.
Examples:
Input : str = "geeks for geeks"
Output : ste = " geeksforgeeks"
Input : str = "move these spaces to beginning... | [
"[email protected]"
] | |
2b8f98fed9b2cf78f74e3d060be36ebc87cc6f48 | 3d2823b5b9a33efa51e8daea9873494b0c3d8116 | /Sparse autoencoder/sparseae.py | 65786bd3c7ff49c2e91758cc98c003faddd20650 | [] | no_license | AdamGu0/MNIST-Neuron-Networks | 1430de9756769d112d54ed612fd5be90b087710b | e022d0a5b42c31cc2350cd8bfc5762ecab609832 | refs/heads/master | 2020-03-16T03:56:54.983557 | 2018-05-07T18:24:29 | 2018-05-07T18:24:29 | 132,499,122 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,592 | py | '''
This file implements a multi layer neural network for a multiclass classifier
using Python3.6
'''
import numpy as np
from load_dataset import mnist
import matplotlib.pyplot as plt
def sigmoid(Z):
'''
computes sigmoid activation of Z
Inputs:
Z is a numpy.ndarray (n, m)
Returns:
A ... | [
"[email protected]"
] | |
8400f0f8f16237cd362e0cc37f3436e13b3d755f | 82f6a6c50a1fef2d7522a43cc4f60e5ff80b37a8 | /solutions/Longest Word in Dictionary through Deleting/solution.py | 267c70a98bb61b70fe13d5f17a5e27cb662c0fae | [
"MIT"
] | permissive | nilax97/leetcode-solutions | ca0f9545ce70975617738f053e0935fac00b04d4 | d3c12f2b289662d199510e0431e177bbf3cda121 | refs/heads/master | 2023-05-14T02:21:48.893716 | 2021-06-08T13:16:53 | 2021-06-08T13:16:53 | 374,466,870 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 617 | py | class Solution:
def findLongestWord(self, s: str, d: List[str]) -> str:
s = '_' + s
n, nxt = len(s), [{} for _ in s]
for i, c in enumerate(s):
for j in range(i-1, -1, -1):
nxt[j][c] = i
if s[j] == c: break
def find(word):
i = 0... | [
"[email protected]"
] | |
6bec030a51b5bb4b0f123d9777dc394b085cf5e0 | 9eaa2c64a777bd24a3cccd0230da5f81231ef612 | /study/1905/month01/code/Stage5/day16/demo06_canny.py | 8cecd5c5324a39778bbcead274373be63fe735f3 | [
"MIT"
] | permissive | Dython-sky/AID1908 | 4528932f2ca66b844d8a3fcab5ed8bf84d20eb0c | 46cd54a7b36b5f009974f2bbb7005a4ad440ca1a | refs/heads/master | 2022-04-14T12:23:30.426270 | 2020-04-01T18:05:19 | 2020-04-01T18:05:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | py | """
demo06_canny.py 边缘识别
"""
import cv2 as cv
original = cv.imread('../ml_data/chair.jpg',cv.IMREAD_GRAYSCALE)
print(original)
cv.imshow('original',original)
# 索贝尔边缘识别
sobel = cv.Sobel(original,cv.CV_64F,0,1,ksize=5)
cv.imshow('sobel',sobel)
# 拉普斯边缘识别
laplacian = cv.Laplacian(original,cv.CV_64F)
cv.imshow('laplacia... | [
"[email protected]"
] | |
3d87924ec7d7fd9fcc0bcf9142588b70d3044ea6 | 04e2a63c2a393ec3782a482b1734b6462c885d5d | /univelcity/open_file.py | a5d41c60faaaf3883d1b9e76f60d5a9ad4ae687c | [] | no_license | AzeezBello/_python | c1d671efbca2ed2ca7d65513efd2c55b496ddad7 | 266bc5aed9bfb93ea93b07712b48406331a9a327 | refs/heads/master | 2020-05-17T18:09:49.133120 | 2019-05-16T07:08:50 | 2019-05-16T07:08:50 | 183,876,279 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,299 | py | # file = open("death_causes.csv", "r")
# index = 0
# for line in file:
# index += 1
# print(line.split(","))
# if index == 3:
# break
# # Year,Cause Name,Cause Name,State,Deaths,Age-adjusted Death Rate
# file = open("death_causes.csv", "r")
# deaths = 0
# count = 0
#... | [
"[email protected]"
] | |
937cbe9fd5ba8c1d6b32d32aa70e78214c9d2377 | 7b1cd806d19a3e1980d18dc2b6a61b3a3d347e72 | /hpuAllLink.py | aa93ffd835d5fbfcf70f04978a0752db3da20385 | [] | no_license | WeianBO/Scrap | d2929efc618e5da59a72b4f9375c28fd565226a4 | 695d9999f9ef69ddd7b66072fb4c5505bef9d55e | refs/heads/master | 2020-03-19T23:59:07.726692 | 2018-06-12T06:37:22 | 2018-06-12T06:37:22 | 137,027,695 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,016 | py | from urllib.request import urlopen
from bs4 import BeautifulSoup
import pymysql
import requests
import re
#定义两个空数组
inUrl = []
outUrl = []
#将外链接写入元组
def outLink(url):
if url in outUrl:
pass
else:
outUrl.append(url)
#将内链接写入元组
def inLink(url):
url = re.sub("^/", "", url) # 使用正则表达式对数据或者字符串内容进行... | [
"[email protected]"
] | |
d1f13e636da4561babbaa676e0c08ff8448d9dab | 84fda8562eb6193b58031ad9369c27ba455430ca | /vulcan/_homework.py | ed134f6df75a9eef5dde9b04390dbcde8b935ea0 | [
"MIT"
] | permissive | Majroch/vulcan-api | 50bf39922cea338ac4a98a3a98b9a505469fd936 | 4448eeb64d2481b5deb643bcb32f2c9ee04463f5 | refs/heads/master | 2022-12-10T15:36:20.345105 | 2020-08-22T23:10:45 | 2020-08-22T23:11:37 | 295,528,170 | 0 | 0 | MIT | 2020-09-14T20:14:14 | 2020-09-14T20:14:13 | null | UTF-8 | Python | false | false | 1,502 | py | # -*- coding: utf-8 -*-
from datetime import datetime
from related import (
IntegerField,
StringField,
DateField,
ChildField,
immutable,
to_model,
)
from ._subject import Subject
from ._teacher import Teacher
from ._utils import sort_and_filter_date
@immutable
class Homework:
"""
Ho... | [
"[email protected]"
] | |
81eb6216326223d83778b2d3bd64fbec29228251 | 73758dde83d1a1823c103e1a4ba71e7c95168f71 | /nsd2002/py02/day03/game_role.py | 65eea729683ff4a6c379867472ab679b07dec8fa | [] | no_license | tonggh220/md_5_nsd_notes | 07ffdee7c23963a7a461f2a2340143b0e97bd9e1 | a58a021ad4c7fbdf7df327424dc518f4044c5116 | refs/heads/master | 2023-07-02T01:34:38.798929 | 2021-05-12T08:48:40 | 2021-05-12T08:48:40 | 393,885,415 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 922 | py | class Role:
def __init__(self, name, weapon):
# 构造器方法，实例化时自动调用，注意，self不是关键字，可以是任何自定义的变量
# 绑定在实例身上的属性，在类中任意位置可见可用
self.name = name
self.weapon = weapon
def show_me(self):
# 绑定在实例身上的属性，在类中任意位置可见可用
print('我是%s，我擅用%s' % (self.name, self.weapon))
def speak(self, ... | [
"[email protected]"
] | |
5645056187f31ed4f86c80622fdeaf41b71f0d0b | b361bdc6abbda69dfae1bb9b41282413436eddd1 | /polls/models.py | b6259e2a1032f861775ef81bb9320e7b103412e2 | [] | no_license | wwz58/mysite | d84b9356f85c31a9bb8b11d03216588c6d4a4842 | 236472decbb9dd813898684dbb4143f10fefebb5 | refs/heads/main | 2023-01-10T03:23:18.984338 | 2020-11-14T13:14:25 | 2020-11-14T13:14:25 | 312,543,745 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 703 | py | import datetime
from django.db import models
from django.utils import timezone
# Create your models here.
class Question(models.Model):
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('date published')
def __str__(self):
return self.question_text
def was_pub... | [
"[email protected]"
] | |
dc105c937af95e74bf4880b57361a7470c141909 | fb8cbebdf034b2f478943752d5443afc82c6eef5 | /tuirer/venv/lib/python3.6/site-packages/jedi/evaluate/dynamic.py | fe9d28e5d70906257d64b55fcc219bbc2f5d3c6a | [] | no_license | fariasjr/CitiTuirer | f64e0ec93ef088f8140bb0961d2ad4ed3b59448a | deb3f7a9c2d45b8a7f54639037f097b99abdac11 | refs/heads/master | 2020-03-24T05:10:36.261050 | 2018-08-01T20:24:30 | 2018-08-01T20:24:30 | 142,477,521 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,165 | py | """
One of the really important features of |jedi| is to have an option to
understand code like this::
def foo(bar):
bar. # completion here
foo(1)
There's no doubt wheter bar is an ``int`` or not, but if there's also a call
like ``foo('str')``, what would happen? Well, we'll just show both. Because
th... | [
"[email protected]"
] | |
21a712689313dd214c18b4bccb4fb9d07a196c76 | a500d0a13e025a7e25376592188663f26c13385e | /machinelearning/data_science_from_scratch/bin/histogramming.py | 5d5d0265b53d25f825b2de93ae105a0b851f9542 | [] | no_license | sraywall/GitTutorial | c6096cfa9dc5c89ebaedee10ee93fed69118f296 | cd0de5db58e42fb4a5094504147ba804b0424247 | refs/heads/master | 2021-04-27T20:36:30.290444 | 2020-05-07T19:27:06 | 2020-05-07T19:27:06 | 122,381,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 810 | py | #!/usr/bin/python3
import matplotlib.pyplot as plt
from collections import Counter
grades = [83, 95, 91, 87, 70, 0, 85, 82, 100, 67, 73, 77, 0]
# Bucket grades by decile, but put 100 in with the 90s
histogram = Counter(min(grade // 10 * 10, 90) for grade in grades)
plt.bar([x + 5 for x in histogram.keys()], # Shift b... | [
"[email protected]"
] | |
b9b8b6190fea295a20706bf72e02f8bd6b16d816 | 0a15660807aee7d2fccbef1a3e633cabd1deb972 | /subway/models.py | 6dd5ae55f71cff97c7052df438f87e6a8c662e4e | [] | no_license | chirs/hs | 7860e77230cd2577cac79539039f0e2a7590ef35 | f1985e11a73b29fa8bf4fd1725c529ec8e61cb5b | refs/heads/master | 2021-01-21T10:42:15.789926 | 2017-02-28T20:12:31 | 2017-02-28T20:12:31 | 83,474,848 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,437 | py | from sqlalchemy import Table, Column, Integer, String, Boolean, DateTime, MetaData, ForeignKey, Text, Float
from sqlalchemy.orm import mapper
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine('sqlite:///:memory:', echo=True)
Base = declarative_base()
... | [
"[email protected]"
] | |
37c263710e2e5d8dea3aea2656664222dd57cb01 | 55616b9bc2a5726f1bfb005596987db8c43872c7 | /App/forms.py | e04a83ed5c6a5eb065cb39e0dc6e80bbeeff3dfe | [] | no_license | helloluoc/flaskblog | 96d1dee4b31fce879fd17b4220d697ae00f0e74d | 500710b7229c704fcee2bfe27b2d2dbd2c3a2784 | refs/heads/master | 2020-03-23T20:17:53.834356 | 2018-09-30T14:11:26 | 2018-09-30T14:11:26 | 142,033,367 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,682 | py | from flask.ext.wtf import FlaskForm
from wtforms import StringField,TextAreaField,SubmitField,PasswordField,BooleanField,FileField
from wtforms.validators import DataRequired,Length,EqualTo,Email
class PostForm(FlaskForm):
content = TextAreaField(
render_kw={'placeholder':'骚年，你想表达什么...'},
validato... | [
"[email protected]"
] | |
38e2a317c4f2e7eb33bdc730a2477b9180c102dc | 502949222ee30e947426e85aadf8cfdd4b315780 | /luck_balance.py | 92fa55989516ac27357f5885d1873768c33a9dd5 | [] | no_license | RafaelChavesPB/HackerRank | c3d70a0562f733af7e62d65f08312bae84560507 | ab7527754cbaabaa27a633120ed04f39d5ad932f | refs/heads/main | 2023-06-11T16:19:03.266782 | 2021-07-10T12:16:49 | 2021-07-10T12:16:49 | 363,399,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,026 | py | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the 'luckBalance' function below.
#
# The function is expected to return an INTEGER.
# The function accepts following parameters:
# 1. INTEGER k
# 2. 2D_INTEGER_ARRAY contests
#
def luckBalance(k, contests):
importants = []
... | [
"[email protected]"
] | |
e9a1fed6a23067a05df9d37a4204e81098c48194 | b9bf3b34b59ec8e566b7ad6e58b7d0429370d6bd | /gunicorn_conf.py | 3b6bec2f43185136d7017ecf5ea3fe59f9f34931 | [] | no_license | dutradda/chunli | 7eea614b6c6c3c0738bec2f15d8224430e450a82 | 54e4385a34f805a2c13acdf85aec98d63c4eaff7 | refs/heads/master | 2021-08-16T09:22:45.388575 | 2020-09-03T12:55:33 | 2020-09-03T12:55:33 | 217,397,141 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 327 | py | import os
import redis
def worker_exit(server, worker):
r = redis.Redis.from_url(os.environ.get('REDIS_TARGET', 'redis://'))
r.publish('chunli:distributed', 'stop')
def child_exit(server, worker):
r = redis.Redis.from_url(os.environ.get('REDIS_TARGET', 'redis://'))
r.publish('chunli:distributed', '... | [
"[email protected]"
] | |
c2dee47972cf180e467ae4cfe43135ba4248be4c | 97f9c0602f5d202adb3a159c211ca8075a5c4b07 | /tictactoe/gameplay/models.py | ffef41c78f6d65dfea9bf2b0ddb0f6dfc81c4614 | [] | no_license | julia-thea/django-tictactoe | c836360b27acfe8d7f5cd8a851ef01eab81a4985 | 1276ac180becb4280272e2b57dc1c54444ec57c2 | refs/heads/master | 2022-06-28T04:36:05.420980 | 2020-05-10T21:17:59 | 2020-05-10T21:17:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,414 | py | from django.db import models
from django.db.models import Q
from django.contrib.auth.models import User
GAME_STATUS_CHOICES = (
('F', 'First Player To Move'),
('S', 'Second Player To Move'),
('W', 'First Player Wins'),
('L', 'Second Player Wins'),
('D', 'Draw')
)
class GamesQuerySet(models.Query... | [
"[email protected]"
] | |
8fe248d9822eea62924d8b53b9b960bb32bfe359 | 6541487fb7df24610e5c61aa30d4a39b9117b427 | /tests/test_math_helpers.py | 6cf87e9dc244968d69684b98f2d4a3ab0f4b7c6f | [
"MIT"
] | permissive | theY4Kman/birdfeeder | 0e1f90a96b1607c0675ea3ab70a00fc99b97e7ac | 25503a138fe01589fb28317ae0f3e281d6ce1961 | refs/heads/master | 2023-04-21T11:23:07.699322 | 2021-03-24T08:36:13 | 2021-03-24T08:37:40 | 368,974,412 | 0 | 0 | MIT | 2021-05-19T19:03:43 | 2021-05-19T19:03:43 | null | UTF-8 | Python | false | false | 510 | py | from decimal import Decimal
from birdfeeder.math_helpers import safe_div, safe_mean
def test_safe_div_basic():
assert safe_div(10, 2) == 5.0
def test_safe_div_basic_decimal():
assert safe_div(Decimal(10), Decimal(2)) == Decimal(5)
def test_safe_div_zero_div():
assert safe_div(10, 0) == 0.0
def test... | [
"[email protected]"
] | |
b7aade2484b165d22de966e987fd39bcf4cf37f0 | 286df6528096b6393b61d3ecb3b7002cb9a7b983 | /python/ql/test/library-tests/frameworks/aiohttp/response_test.py | 1988f4435604cade3227c27d40ba902f6661df59 | [
"LicenseRef-scancode-python-cwi",
"LicenseRef-scancode-other-copyleft",
"GPL-1.0-or-later",
"LicenseRef-scancode-free-unknown",
"Python-2.0",
"MIT"
] | permissive | Inncee81/codeql | ed620df0ae7b706943eccd92af37e037f540f6a4 | 38a38fd2c145628472d14c9e9d6ca812fd525793 | refs/heads/main | 2023-06-13T01:23:30.086459 | 2021-06-22T10:59:44 | 2021-06-22T10:59:44 | 379,254,229 | 1 | 0 | MIT | 2021-06-22T12:02:02 | 2021-06-22T12:02:01 | null | UTF-8 | Python | false | false | 3,173 | py | from aiohttp import web
routes = web.RouteTableDef()
@routes.get("/raw_text") # $ routeSetup="/raw_text"
async def raw_text(request): # $ requestHandler
return web.Response(text="foo") # $ HttpResponse mimetype=text/plain responseBody="foo"
@routes.get("/raw_body") # $ routeSetup="/raw_body"
async def raw_bod... | [
"[email protected]"
] | |
874c30928f3f3b99467b5c30f812bfce8a1f46e3 | 51424671f6207121ff734a3821448367c5fa7043 | /ecommerce/store/views.py | 457176ecfa0b02686fce0e12c14b70d9a3d89820 | [] | no_license | prateekthakkar/case-study | 1d7e8aa2f175bec24a7cda845517d9928734d775 | a20085150c130fab05767011faedf4c806006542 | refs/heads/master | 2022-11-06T06:24:00.604616 | 2020-06-13T05:43:49 | 2020-06-13T05:43:49 | 270,648,544 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,736 | py | from django.shortcuts import render,redirect,HttpResponse
from django.contrib import messages
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from .tasks import send_email
from .models import *
from django... | [
"[email protected]"
] | |
9adaaa8a0991643c934d8ca118ce9b52964bcf0c | 6de78731b9626459b95718dc15398850143b024c | /CNN/Keras/predict_bigtiff.py | e5f0623974d96eaa2f45b6a13c55cf2d772a35d7 | [] | no_license | ghx1234/RSDataProcess | 08999e83b6693df161af088112d66fbad1189c4a | 098b51d4f25923968b00ac5bd40e3f2440d5b33a | refs/heads/master | 2022-12-01T05:59:29.056334 | 2020-08-14T14:55:24 | 2020-08-14T14:55:24 | 265,778,277 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,390 | py | import os
import sys
import numpy as np
from PIL import Image
import gdal
import rasterio
import tensorflow as tf
from model import *
def z_score(x):
return (x - np.mean(x)) / np.std(x, ddof=1)
def read_img(path):
with rasterio.open(path) as ds:
data = ds.read(
out_shape... | [
"[email protected]"
] | |
1bdb310ceed481f9c559a64c36a67b91af52f028 | a0e79cef4779a9eedd512158e73c166bf6846110 | /NADE/deepnade/buml/Instrumentation/Parameters.py | 84e6cc558d631bd233bf50e9c35ba2a61e79fac4 | [
"BSD-3-Clause"
] | permissive | rogen-george/Deep-Autoregressive-Model | 9ca5135ed1d8c0c5c442cd95d75467208d6b0acd | 8d567ecb6d59b3003fba9aab2a0693dab67514ef | refs/heads/master | 2021-10-25T22:50:03.508798 | 2019-04-08T00:56:33 | 2019-04-08T00:56:33 | 172,263,626 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | from Instrumentation.Measurement import Measurement
class Parameters (Measurement):
"""The instrumentable object must implement the get_parameters method"""
def __init__(self, *args, **kwargs):
self.attribute = "parameters"
def take_measurement(self, instrumentable):
return instrumentable.... | [
"[email protected]"
] | |
c6dcdbe0262dc26556c2962a2bb5611d42ce181f | 14bb6210a317ba7cd248571103a325713922b685 | /conf.py | 1f86d53d6e2c9cae4e30f84103b9e179ab1063eb | [
"LicenseRef-scancode-unknown-license-reference",
"CC-BY-4.0",
"LicenseRef-scancode-public-domain"
] | permissive | ocean-transport/group-website | 469e2f951bbdf03c8125a6a9131230aea40cc066 | 89cd7877ec5e57bd15b1d6a6b64541034d9e861c | refs/heads/master | 2022-07-08T06:34:37.449564 | 2022-06-29T15:28:45 | 2022-06-29T15:28:45 | 212,735,255 | 5 | 11 | NOASSERTION | 2022-06-29T15:28:46 | 2019-10-04T04:24:56 | TeX | UTF-8 | Python | false | false | 7,574 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Ocean Transport Group documentation build configuration file, created by
# sphinx-quickstart on Wed Jul 31 18:58:11 2019.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are presen... | [
"[email protected]"
] | |
7bcb8b925acf750edd56ecb347e2fd0945a767c0 | 18831623126751bfe3dc7f7d8291de2066a01c06 | /sha2.py | f8d889959b2819e7e473b5237b3b2431d76715d4 | [] | no_license | mnoalett/ringzer0-ctf | e8fbe3ee3722c56c5b03831c21522ca4ef14dab1 | fd76d83fe8a9d42ca7798c9dff43fc8e3d6645b1 | refs/heads/master | 2020-04-14T12:58:34.373073 | 2019-01-02T15:17:09 | 2019-01-02T15:17:09 | 163,855,742 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 982 | py | import hashlib
import requests
import re
url = "https://ringzer0ctf.com/login"
url_res = "https://ringzer0ctf.com/challenges/57/"
payload = {'username': 'xxx', 'password': 'xxx'}
hash_regex = "-----BEGINHASH-----<br\/>(\w+)"
salt_regex = "-----BEGINSALT-----<br\/>(\w+)"
flag = "FLAG-\w+"
session = requests.Session()
... | [
"[email protected]"
] | |
227db5c8db59ef92e3388e793f7c0346ae313a35 | e1e15a264cb6b8de018b335bf07bb540ae5edf76 | /core/update.py | 6d9496ca5f48d4df412834c75b06499bea2a08b0 | [
"MIT"
] | permissive | JustF0rWork/malware | 00891ebf250b2f9577081d9909362fd0cac9bdd9 | 906f9a2e7d3c985bd0d31a350d2f08c44b4820ff | refs/heads/master | 2021-01-10T15:56:19.866067 | 2016-01-12T02:06:55 | 2016-01-12T02:06:55 | 49,463,263 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 9,118 | py | #!/usr/bin/env python
"""
Copyright (c) 2014-2016 Miroslav Stampar (@stamparm)
See the file 'LICENSE' for copying permission
"""
import csv
import glob
import inspect
import os
import sqlite3
import subprocess
import sys
import time
import urllib
sys.dont_write_bytecode = True
sys.path.append(os.path.abspath(os.path... | [
"[email protected]"
] | |
1317aafa3a4fd100947fdd513f504d272f19b67c | 867c876541c29775bd5c1548a2ba59f0dc84737d | /MxShop/extra_apps/xadmin/sites.py | 4d151c4b285f85168ebbcd2566c77c2ade989a9c | [] | no_license | flowpig/daily_demos | be9c8aec7c8070e96ee7012b249c2f60e777e248 | b4bc7779c55ca0a02098c6dafe23a8f5af461182 | refs/heads/master | 2023-01-10T21:46:24.059317 | 2019-11-29T06:33:42 | 2019-11-29T06:33:42 | 117,111,372 | 0 | 0 | null | 2022-12-26T20:42:28 | 2018-01-11T14:29:56 | JavaScript | UTF-8 | Python | false | false | 15,072 | py | import sys
from functools import update_wrapper
from future.utils import iteritems
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.db.models.base import ModelBase
from django.utils import six
from django.views.decorators.cache import never_cache
from django.template.... | [
"[email protected]"
] | |
fd462ea2c658063f9780b2900c7dd1676594f3a8 | 930240227e320dff7448e05803e5f0814e2a8c1b | /Talleres/Django/Taller 3/ExEcommerce/ExEcommerce/settings.py | e77b8d86154b64630ca5c2507cb503541ea8ddac | [
"MIT"
] | permissive | AnamaSerrato/DesarrolloWeb | e24a82d5e1c523e82dfb19c7c8a488a4e4389ca8 | 4fd61cd4684f3a30bc7a7041b1916ff5587cee5a | refs/heads/main | 2023-08-24T17:51:00.528405 | 2021-10-26T16:18:23 | 2021-10-26T16:18:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,397 | py | """
Django settings for ExEcommerce project.
Generated by 'django-admin startproject' using Django 3.0.8.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import o... | [
"[email protected]"
] | |
a3c4a503c58924da41d28428547c030ff9a7aafc | 1f0a385f70b574667b9fc2a16268ae1898b55ed2 | /Profiling.py | 929aa18e3432f24f1df648fb2d5971fb005f4fba | [] | no_license | ditzh/Age_of_Information | 4a9a4065e81cbedb4254c8a8fa815528945dee7b | eada3f778e6ce48e8fc56a8bf6cceaf138b58837 | refs/heads/master | 2022-04-04T13:16:37.511584 | 2020-02-25T22:15:49 | 2020-02-25T22:15:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,776 | py | import math
from random import randint
import cv2
import collections
#Read video from the given path and get its width and height
cap = cv2.VideoCapture('sample.mp4')
frame_width = int( cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height =int( cap.get( cv2.CAP_PROP_FRAME_HEIGHT))
def dist(x1,x2):
sol = math.sqrt((x2[0... | [
"[email protected]"
] | |
9be19d47b7bad8f555e7926513eb67a94d9ebf3c | 3b6179c93316d8ad00f24095414b09e53310e15e | /_build/jupyter_execute/03_logistic_regression.py | 26e057f7757376d54ff61a8183a2f0ed92e65961 | [
"MIT"
] | permissive | newfacade/machine-learning-notes | 37fc050544ea3e98b2fa38779e6023214d8cea62 | 1e59fe7f9b21e16151654dee888ceccc726274d3 | refs/heads/main | 2023-03-30T07:08:17.968737 | 2021-03-22T12:40:39 | 2021-03-22T12:40:39 | 350,337,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,781 | py | # Logistic Regression
## Regression and Classification
regression answers how much? or how many? questions, for example:
1. predict the number of dollors at which a house will be sold.
2. predict the revenue of a restaurant.
in practice, we are more often interested in classification: asking not "how much", but "wh... | [
"[email protected]"
] | |
8518901c7fdfc473318b9f996ce5871326d2e0c8 | e96f82c65d7b0b5acf1f98e573b695afda122698 | /Amusing Joke.py | 315cbfec9e418b84ae68d1a3a06a79c9b8f506d7 | [] | no_license | devinemonk/CodeForces-Python | 66525fe4b91a2fe780603931f81ec4aa30082315 | def55f4c8651ebe70920c8d8e01ed09e4aeafd4e | refs/heads/master | 2023-08-17T23:34:48.621928 | 2023-08-07T22:02:02 | 2023-08-07T22:02:02 | 288,174,825 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 227 | py | s=input()+input()
s=s.upper()
d={}
for i in range(ord('A'),ord('Z')+1):
d[chr(i)]=0
for i in s:
d[i]+=1
c=input()
for i in c:
d[i]-=1
for i in d:
if d[i]!=0:
print("NO")
exit()
print("YES")
| [
"[email protected]"
] | |
2baf4341109adc25e717ef6ca616d348ac57cd17 | 125ed954649430eac78b938ca13b74ae86e6d511 | /helloworld.py | 70cb0d9437c3bca59838a46bbdb73265b315b6c7 | [] | no_license | darren277-assorted/whatever | ccbe13a822c05ee3d74557ae01887c3387185c2d | 1e52543711470eadd8bd319c8ded8d28bc8c5075 | refs/heads/master | 2022-10-27T17:56:02.802392 | 2018-09-14T16:58:45 | 2018-09-14T16:58:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 136 | py | try:
print('hello world')
except ZeroDivisionError:
print('Could not print for because you tried dividing by zero somewhere.')
| [
"[email protected]"
] | |
85faccd6ab92a6953348fec45d163ceebd22bde7 | 0ac9495255f4d6be0ad1dd5bc298bfe2e4025e5b | /app/main/views.py | 8db7addd9f3cc234c1e84626f4bf0c75c1ef2c06 | [] | no_license | Alekzandre/labs | 12eaa3d516cfb4be024fe6cf2fe89637a2a1ba16 | 293735884f3d6b2ba72b8053143d23dbf6a2e5ee | refs/heads/master | 2021-01-01T05:27:03.278545 | 2016-06-06T12:17:33 | 2016-06-06T12:17:33 | 59,002,716 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 816 | py | from flask import render_template, session, redirect, url_for, flash, request
from flask.ext.login import login_required
from . import main
from .. import db
from .forms import PicUploadForm
from ..firm.models import Firm
from ..auth.models import User, Role
import os
from werkzeug import secure_filename
@main.route(... | [
"[email protected]"
] | |
734bba3ac3df513251e2431b420b08c3a0bb20f7 | c2643fdff3185b659c2c7fa807d8b8d345a90343 | /tests/test_basic.py | 4bea68de088fd5206824e30ac834120108554bc5 | [
"BSD-2-Clause"
] | permissive | auxten/fhost | b39ae209a056b301e737d176f8f12dcafd82cfa2 | 6536c4955e13fd67c939a6fc6cc687d29e976d15 | refs/heads/master | 2021-01-16T00:35:43.304418 | 2012-06-25T10:17:52 | 2012-06-25T10:17:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,837 | py | #
## BEGIN LICENSE BLOCK
#
# Copyright (c) <2012>, Raul Perez <[email protected]>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copy... | [
"[email protected]"
] | |
dd639edaad50c660c763ab08ed15d4fd9b9e9c6a | dec2da908901b176e2e10ca3677f36346ddceee7 | /cvpl-users/users/api.py | 8a29e2a71ffdd192cf3077d18cd45038d64b64e6 | [
"Apache-2.0"
] | permissive | robinsax/canvas-plugin-multirepo | e382d107a3f32428722e528410db9da3117e2518 | 20fd6a3cc42af5f2cde73e3b100d3edeb4e50c01 | refs/heads/master | 2020-03-31T11:14:29.159786 | 2018-10-09T01:36:35 | 2018-10-09T01:36:35 | 152,168,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,660 | py | # coding: utf-8
'''
Users API.
'''
import canvas as cv
import canvas.ext as cve
from . import User, _edit_approver
from .auth import authorize, flush_auth
from .authz import require_admin, require_anon, require_user
@cv.endpoint('/api/auth')
class AuthEndpoint:
@require_anon
def on_post(self, context):
request,... | [
"[email protected]"
] | |
49a906e6c7883da06b65ccbde0a76bf79142b0dc | 47798d5661fa0c9423b7afc8cf7f8545816d709b | /tests/re_v4.py | 540db38d96045ed766338edc74532db09e9331fd | [] | no_license | yaleman/SubnetMixer | d530a5ce3c39aced202b94ac661e11d7a100894e | 122d919f3f00b3bd2fe329d017003ab0f06b0210 | refs/heads/master | 2022-11-10T01:29:35.916066 | 2022-10-09T21:31:54 | 2022-10-09T21:31:54 | 17,395,183 | 0 | 0 | null | 2022-10-09T21:31:55 | 2014-03-04T08:23:10 | Python | UTF-8 | Python | false | false | 160 | py | import re
re_v4 = re.compile( "[\d]{1,3}.[\d]{1,3}.[\d]{1,3}.[\d]{1,3}" )
tests = [ "10.0.0.0", "10.0.0", "1111" ]
for x in tests:
print re_v4.match( x )
| [
"[email protected]"
] | |
d15b397388bcb5efae9ec644b1c9a1d3c8f1413c | dbe9f1169cb86835e41923e85a0498af0a312288 | /code/main.py | b9e9d4506b5acd1edc3c66bd4cbe2f393af91168 | [] | no_license | JzjSunshine/BlockChain | 049f178288cd2dc4d070e3152d88f87fe560e561 | de8d4f49b418af2c9df8a6809e7a769a46b24d8a | refs/heads/master | 2023-02-21T08:33:33.813692 | 2021-01-25T07:29:20 | 2021-01-25T07:29:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,241 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from login import Ui_login
from signup import Ui_signup
from company import Ui_company
from company_sign import Ui_company_sign
from company_transfer import Ui_company_transfer
from company_finance import Ui_company_finance
from bank import Ui_bank
import os
impor... | [
"[email protected]"
] | |
238a9c00d0ee9241b740aa701da20a49250c30a6 | e2d1036d29aa0cb2b46a2be6bba91a1c5d5556aa | /Self_Driving/train_and_val_predictor_single.py | e78f4a5f3db9afeca4b4ca2227c502d16a57b727 | [] | no_license | Liuzy0908/SB3-Carla | 79eaad128ba649c202bee27dded6e240e76863ac | f9cfb9108463ed15aee81c36abdb4eb87c15be6c | refs/heads/main | 2023-08-17T02:04:46.085064 | 2021-02-14T04:58:32 | 2021-02-14T04:58:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,540 | py | import numpy as np
import torch
import argparse
import os.path as osp
import torch.nn as nn
from models.model_predictor_single_resnet18 import Predictor_single
from dataset.sem_predictor_single_roadline import Sem_predictor_single
import wandb
argparser = argparse.ArgumentParser(description=__doc__)
argparser.add_ar... | [
"[email protected]"
] | |
1e1c3159a79488453e4810b9362f7850f72e9c90 | f68eda51246c95597def569224f3b56d4c3700e7 | /top/api/rest/SellercenterUserPermissionsGetRequest.py | a3f561db414e9ebc103b8c2d04ac8c7b445babb9 | [
"MIT",
"BSD-3-Clause"
] | permissive | stoensin/taobao-openapi | 47de8fb29ae2d8ce47d4fce07c0ccaeaee1ef91f | 202a9df2085229838541713bd24433a90d07c7fc | refs/heads/main | 2023-07-17T02:17:51.527455 | 2021-08-25T15:08:49 | 2021-08-25T15:08:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 329 | py | '''
Created by auto_sdk on 2018.07.25
'''
from top.api.base import RestApi
class SellercenterUserPermissionsGetRequest(RestApi):
def __init__(self,domain='gw.api.taobao.com',port=80):
RestApi.__init__(self,domain, port)
self.nick = None
def getapiname(self):
return 'taobao.sellercenter.user.permissio... | [
"[email protected]"
] | |
3ce934caaa6e0a49902a84d3e6ce84ac3d1aac37 | 5cb8df4d10cd1a1d77f227ea8e1b311744750d5b | /generate.py | b4ba55cf4e1d1accfe70b88346848e422bbf65cf | [
"CC0-1.0"
] | permissive | YoonGenwu/hearthstonejson | 388d46c5c082cde8389bef1011dded7d46fea7dc | 3d6709f99dc7d0c0b75ccf441cfebec00f48a184 | refs/heads/master | 2021-01-15T11:42:57.006639 | 2016-02-17T01:12:14 | 2016-02-17T01:12:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,707 | py | #!/usr/bin/env python
import os
import json
import sys
from argparse import ArgumentParser
from enum import IntEnum
from hearthstone.dbf import Dbf
from hearthstone.cardxml import load
from hearthstone.enums import CardType, Faction, GameTag, Locale, LOCALIZED_TAGS
MECHANICS_TAGS = [
GameTag.ADJACENT_BUFF,
GameTag.... | [
"[email protected]"
] | |
6f1f0a38de9166e24a27fd3b68075083c9bd8cc4 | 8cde629c9955c97ef083c026556bc5463720fd76 | /likelion/comment/models.py | 55ba940495b372937fcd0118068127281d38cbf2 | [] | no_license | hyk1993/yongkis | 975f55377c646741e9bc21c6f5d0aab3cecc81e3 | 7740013cca0258126e1dd7d6cf97c92317df3717 | refs/heads/master | 2020-05-20T21:05:10.133258 | 2019-05-09T07:58:55 | 2019-05-09T07:58:55 | 185,752,302 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 664 | py | from django.db import models
from django.utils import timezone
# Create your models here.
class Blog(models.Model):
title = models.CharField(max_length=200)
pub_date = models.DateTimeField('date published')
body = models.TextField()
def __str__(self):
return self.title
def summary(self... | [
"[email protected]"
] | |
a2091ffbd7f8354188a85045f97ae4c90527922a | 590b86be3ed4e9148426cb3d736045ba19f10441 | /cc_scratch/settings.py | ec6f775800c347b56d91a9b3d88b4f1da6104634 | [] | no_license | hasanbaig/cc-scratch | f8a986911332deacab4ee63b9d82e3a993b4041b | 21c24b1d28c103479372d715dd30904abbd15cec | refs/heads/master | 2021-01-15T02:24:39.940223 | 2020-03-11T17:23:59 | 2020-03-11T17:23:59 | 242,846,658 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,413 | py | """
Django settings for cc_scratch project by Hasan Baig.
Generated by 'django-admin startproject' using Django 1.11.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/... | [
"[email protected]"
] | |
c349129df7bbb871844f26ccee9298caec554b7d | dbe81a543b845ebda34e7bb41b4021cb40aa9288 | /usually_coding/use_saver.py | 880003702fd9c6be1ec545a43d7ac6f5bbd2b3e8 | [] | no_license | whitenightwu/tensorflow_tools | 264ede03acc792a64d1fc86d99e60aa92e5dfa02 | ba25e763f7cce1f11ed629bab5915e585a3ceae3 | refs/heads/master | 2020-03-10T21:09:40.086801 | 2020-01-20T06:11:58 | 2020-01-20T06:11:58 | 129,586,948 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,770 | py | #!/usr/local/bin/python3
## (C) COPYRIGHT Ingenic Limited.
## ALL RIGHTS RESERVED
##
## File : use_saver.py
## Authors : ydwu@ydwu-white
## Create Time: 2019-04-28:11:42:22
## Description:
##
##
迁移学习的实现需要网络在其他数据集上做预训练，完成参数调优工作，然后拿预训练好的参数在新的任务上做fine-tune，但是有时候可能只需要预训练的网络的一部分权重，本文主要提供一个方法如何在... | [
"[email protected]"
] | |
b0da7bdba534730f35505b2301bd30a30bf8b8a2 | 26192962dc2627e7ca5f0e3b249c3fabcf52442c | /Python/AD-HOC/1196 - WERTYU.py | f1d867b9f14a29527c0d7a750ed75bcb36716f79 | [] | no_license | PierreVieira/URI | 77278ccb1724ca206ab2c12afbea1e51fa08ff73 | c1eb211c788d26b5cb9bedf5dda4147a2961fa19 | refs/heads/master | 2023-04-10T07:03:13.954639 | 2023-03-22T00:18:28 | 2023-03-22T00:18:28 | 189,321,748 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 380 | py | """
Autor: Pierre Vieira
Data da submissão: 02/02/2020 16:48:12
"""
linha = "`1234567890-=QWERTYUIOP[]\\ASDFGHJKL;'ZXCVBNM,.'"
while True:
s = ''
try:
frase = input()
except EOFError:
break
else:
for c in frase:
if c == ' ':
s += c
else:
... | [
"[email protected]"
] | |
0635c22654b0499d2560adbd8e4deb4ae0b1d895 | 3ec0da1faa3da5e8e94c73296ba6a8bed6228e2f | /foodtrucks/migrations/0002_auto_20160725_0842.py | 5194919403ecf2f7b213df7cb21bb5770cd3cc23 | [] | no_license | calmhandtitan/foodtrucksnearby | 15ef095ff2251e40ef03814eee3554fa0a570583 | 61dabd817e150eaec672c4f243be9a5ac71a4c3e | refs/heads/master | 2021-01-20T20:41:44.993850 | 2016-08-01T06:31:48 | 2016-08-01T06:31:48 | 64,118,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,849 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('foodtrucks', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='foodtruck',
name=... | [
"[email protected]"
] | |
1daefdaaf3cdc9dbbd4d888acd5c05d94d6285dd | 85c337f0364f1452c068b7e93421b3e24af85358 | /MzManage/manage.py | 362fb7bb3d7af3d8d0dfab2d09b3c4fb6b0b78a7 | [] | no_license | hornLK/AuthSystemWeb | 9518f23453f910e17c516db26ea3a00fe0d0c806 | c2c03ff2133151889a2ecc205a753a0eb2bbfd91 | refs/heads/master | 2022-12-14T19:18:00.560077 | 2018-04-19T12:39:14 | 2018-04-19T12:39:14 | 130,317,561 | 0 | 0 | null | 2022-12-08T00:59:04 | 2018-04-20T06:17:08 | JavaScript | UTF-8 | Python | false | false | 540 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "MzManage.settings")
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are... | [
"[email protected]"
] | |
3fb2a9f1ae58ad0743c9d750da7afc275cf304bf | 0cc4eb3cb54f8394c127ace62d3108fdb5230c85 | /.spack-env/view/lib/python3.7/test/test_multibytecodec.py | 7384d370794ac8065a971022cc5463d45a9edc2d | [] | no_license | jacobmerson/spack-develop-env | 5b2d76f58c0b64ae97c64f77a3c4d33a770c71c8 | 5fca20ca343b1a76f05fc635c87f94ed25417d94 | refs/heads/master | 2022-07-04T02:22:50.264727 | 2020-05-06T05:13:50 | 2020-05-06T05:13:50 | 261,657,112 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | /lore/mersoj/spack/spack/opt/spack/linux-rhel7-x86_64/gcc-7.3.0/python-3.7.7-oihhthdoxtgh4krvzpputn5ozwcnq2by/lib/python3.7/test/test_multibytecodec.py | [
"[email protected]"
] | |
be6034d2e2763ff648e95e4600d85340a32d843a | 275f85955acabac247fe306b0161a6d758f4d057 | /KaterinaAnzoleaga/Classes/PersonEmployee/setGetEmployee.py | ee7eecadd6544e7feec98952f831ec910e37a9cc | [] | no_license | mauricioZelaya/QETraining_BDT_python | 295bb58a99a36b0b973afd153109c510191b4ec7 | d7cc798e7063ab32e5002e4deda3ddec8a8a0c59 | refs/heads/master | 2021-05-08T05:01:13.181273 | 2017-11-24T21:53:46 | 2017-11-24T21:53:46 | 108,473,352 | 0 | 0 | null | 2017-11-24T21:53:47 | 2017-10-26T22:43:32 | Python | UTF-8 | Python | false | false | 146 | py | from Employee import *
from LoginModule import *
my_emp = Employee ('Carlos', 'Lopez', 35, '24165465', 45, 'Supoort')
print (my_emp.getObject())
| [
"[email protected]"
] | |
6967044ffd32e1f589f9a6643e7ba3dba2822a94 | 7c19d1198bff566c7cde15ddf5876470b05815cf | /sentiments_neural_network_cpu.py | d8001d8b47cb8a46f4f9b9b620a7b04ac45ae867 | [] | no_license | nikil21/Sentiment-Analysis | 48bf2123f1f10ef98c9bb838da6a79b556231426 | 94f91dcf1dd6016dff734ec66cda6e492e22510a | refs/heads/main | 2023-06-28T11:00:09.163564 | 2021-08-04T14:14:02 | 2021-08-04T14:14:02 | 392,713,780 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,046 | py | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
from create_sentiment_featuresets import create_feature_sets_and_labels
#from tensorflow.examples.tutorials.mnist import input_data
import pickle
import numpy as ... | [
"[email protected]"
] | |
980187db1840de06b15442e3e1a14db18561b1c4 | 2b9af5e429e647bd0439b874edc78695b1f94977 | /weather_checker.py | 3611b3afd1d47563bcf8f568b3de8c92f917641c | [] | no_license | ninjaboy/weather_spam | 23e26932fc0232ce07e892c0fa56a86313edd1a7 | d9f6126085222dc6a339c8c7b058bf45ba5295a7 | refs/heads/master | 2021-01-01T18:37:46.338635 | 2014-07-23T12:09:12 | 2014-07-23T12:09:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,169 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import MySQLdb
import csv
import smtplib, os
import time
import re
import urllib2
import json
from datetime import *
from email.MIMEMultipart import MIMEMultipart
from email.MIMEBase import MIMEBase
from email.MIMEText import MIMEText
from email.Utils import COMMASPACE, format... | [
"[email protected]"
] | |
f95801b8c151fe6313c43fd96a03a730109b0539 | 2341c90db6d26d5bf0039a87d06e41bf3bebac5f | /src/action_classification/ucf_labels.py | 59a44668fd8ded64c3356024bd1b11a3915c878f | [
"Apache-2.0"
] | permissive | ziliaogithub/action_recognition_ros | 96ca418b838e0671e16eba4e681feb934e54e4ce | f203d81ed31c2ad6630bce06d4b130e24bff73b9 | refs/heads/master | 2020-03-22T21:17:21.882072 | 2017-10-11T07:19:42 | 2017-10-11T07:19:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,639 | py | #!/usr/bin/env python
labels = ['Apply Eye Makeup', 'Apply Lipstick', 'Archery', 'Baby Crawling', 'Balance Beam', 'Band Marching', 'Baseball Pitch', 'Basketball Shooting', 'Basketball Dunk', 'Bench Press', 'Biking', 'Billiards Shot', 'Blow Dry Hair', 'Blowing Candles', 'Body Weight Squats', 'Bowling', 'Boxing Punchin... | [
"[email protected]"
] | |
347502a5063ca3f7fdbb96e81aadf62f71a48dae | 97e534b26a76bf0d954e166841179979748bcfa2 | /objects/migrations/0046_auto_20180625_0823.py | d6855e81eb891d0362368b4d406690be5fbde2c7 | [] | no_license | mehdi1361/http_server | 3a8bd73ce44307ee2b7761d1211671ca8cb0f3ba | d8a962c55165ef0237bfb26d27d9cfa11a415a5d | refs/heads/develop | 2022-12-11T00:44:11.089407 | 2019-01-20T12:02:48 | 2019-01-20T12:02:48 | 166,656,299 | 0 | 0 | null | 2022-12-07T23:53:22 | 2019-01-20T12:02:05 | HTML | UTF-8 | Python | false | false | 958 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-06-25 08:23
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('objects', '0045_auto_20180625_0724'),
]
operations = [
migrations.AddField(
... | [
"[email protected]"
] | |
b6fb7824bcb1ed5a6f2dcd398fe4e45eb19507f4 | 74a8defffc8d01804e5f65b0c5857accd8ff144b | /predict.py | 3e6f0ba84f1bc671c92dbbd02cefa346d4cf94fc | [] | no_license | DanferWang/NUS-SoC-Summer-Workshop | cb75bbd27ac52829384c984991255ac68407b8bc | 68f1e3f27634cb131b2c9032be16ee20b2ee7d5f | refs/heads/master | 2021-10-07T13:53:45.010267 | 2021-10-05T15:13:42 | 2021-10-05T15:13:42 | 202,662,046 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 940 | py | from __future__ import print_function
from tensorflow.python.keras.models import load_model
import tensorflow as tf
import numpy as numpy
from PIL import Image
MODEL_NAME='flowers.hd5'
dict={0:'daisy',1:'dandelion',2:'roses',3:'sunflowers',4:'tulips'}
graph = tf.compat.v1.get_default_graph()
def cl... | [
"[email protected]"
] | |
5c2b7a287908c20a810e10ea85d5d574ce3aa09f | 68bc1452c1adee952d17d2ee4ba2d31865f4c36b | /petro/models/__init__.py | f30cbc7d16584e7660708e4c634336355a14d9b0 | [] | no_license | KacheKH/odoo | def5942a71bf583b1345d8189d15e0f12fdebed7 | 82f674b8b2fd444b8cbf0e427d6c9174eec4d868 | refs/heads/master | 2020-03-14T10:46:38.081634 | 2018-05-10T18:26:41 | 2018-05-10T18:26:41 | 131,575,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | # -*- coding: utf-8 -*-
from . import petros | [
"[email protected]"
] | |
11e5fb5400c27bad705c752ddfacb83e04e03f9d | bfc42c114f652012b6cfd14e7cccf52cb6b9ac7e | /src/spdx_tools/spdx3/model/agent.py | 9aa326e2261b39085ccbdcfea5376185401cc086 | [
"Apache-2.0",
"GPL-2.0-only"
] | permissive | spdx/tools-python | 05a952501af2ac608678cb1737f7c661f6091fa2 | 777bd274dd06cb24342738df7da5ab285d652350 | refs/heads/main | 2023-08-31T09:39:52.930063 | 2023-08-24T06:39:48 | 2023-08-24T10:22:33 | 32,761,058 | 147 | 136 | Apache-2.0 | 2023-09-14T15:50:59 | 2015-03-23T21:54:39 | Python | UTF-8 | Python | false | false | 1,251 | py | # SPDX-FileCopyrightText: 2023 spdx contributors
#
# SPDX-License-Identifier: Apache-2.0
from beartype.typing import List, Optional
from spdx_tools.common.typing.dataclass_with_properties import dataclass_with_properties
from spdx_tools.common.typing.type_checks import check_types_and_set_values
from spdx_tools.spdx3.... | [
"[email protected]"
] | |
e27df221a34585c501687f1217812d0264f5466a | 6e3e8fd06c1b9e03414b7bd5b6fb794dee326f87 | /lstm_lm_g_on_sentences_euc.py | c68905a7d897f4053cf68419c2748019410c477d | [] | no_license | qyouurcs/seq_style | f5fe75569b21af549905d6a4e2ff7696286314b7 | 5c971d5bdf7f4b0f0ffccfa913d10ccda3486384 | refs/heads/master | 2021-01-10T04:51:15.444826 | 2016-04-15T18:23:01 | 2016-04-15T18:23:01 | 51,030,147 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,342 | py | from __future__ import print_function
import sys
import os
import numpy as np
import pickle
import theano
import theano.tensor as T
import lasagne
import urllib2 #For downloading the sample text file. You won't need this if you are providing your own file.
import ConfigParser
import math
import pdb
import random
impor... | [
"[email protected]"
] | |
128e0b1ef36f2b620f29bae70b2db83bd31f692c | 69eb69547ea85d930e8915f9c17b3e4d254e4058 | /hand length.py | 03cf4050c260b7ad045190e33205dbea3b526e61 | [] | no_license | Theofilos-Chamalis/edX-6.00.1x-Introduction-to-Computer-Science-and-Programming | 38cbc9288ee639ab961a579869a045f3f839e82d | b87a7e69423213a711680d2744315c61ad81877b | refs/heads/master | 2022-03-04T20:50:32.441600 | 2022-02-13T10:17:25 | 2022-02-13T10:17:25 | 14,083,089 | 102 | 62 | null | 2022-02-13T10:17:26 | 2013-11-03T09:45:19 | Python | UTF-8 | Python | false | false | 192 | py | def calculateHandlen(hand):
"""
Returns the length (number of letters) in the current hand.
hand: dictionary (string int)
returns: integer
"""
return sum(hand.values()) | [
"[email protected]"
] | |
7949b7e9e5f5b448edbf73c17ab6761f3f348fb1 | e686cf242a7a8424d0d0ccb5dfcc2b67e617f388 | /hw4/lib/trainer_no_RNN.py | 5614d544d9e6e94468eb9a750fdd9c9f4ea27cea | [] | no_license | kaichan1201/DLCV_Fall_2019 | 2219ab755da1aaf881e4c4c950743981c7a470d1 | 68921098ecc05683de2630eda530c92badd66e19 | refs/heads/master | 2022-11-27T21:29:30.150798 | 2020-03-09T07:02:24 | 2020-03-09T07:02:24 | 245,815,775 | 0 | 0 | null | 2022-11-22T04:23:46 | 2020-03-08T13:05:16 | Python | UTF-8 | Python | false | false | 5,344 | py | import os
import numpy as np
import torch
import torch.nn as nn
from tensorboardX import SummaryWriter
from torchvision.utils import make_grid
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname... | [
"[email protected]"
] | |
756b5b24cc0dca3c1d9099f9f4fb15c96283be28 | e10edb9c3db4a78fcd91556496de1a5637f03012 | /foodgram_project/settings.py | b4fe0e607409c3946c229006222e4851de6a7045 | [
"MIT"
] | permissive | ilyukevich/foodgram-project | 9730d7daaee75aa8ffed312dbfd9ff889a552b9f | 458b01d6696687ff6476a8da343da3590699558f | refs/heads/master | 2023-06-06T05:48:46.800023 | 2021-06-25T16:00:17 | 2021-06-25T16:00:17 | 345,058,627 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,139 | py | import os
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = os.environ.get('SECRET_KEY'),
DEBUG = False
ALLOWED_HOSTS = ['*']
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django... | [
"[email protected]"
] | |
914e5a276b7849b267a4458ca7c0afd16ec3f18e | 3f73ce74b6fdfb7966abb71a98f4986edd727c5f | /lib/config.py | 9d9e5784d61265a408685b6fae7a08e8e51d01e0 | [
"MIT"
] | permissive | yuta-komura/amateras | 9c2efd310b18f159b1354864d65f9894ab93737f | cf8cc8fe0b5d8c382090fd1784a3ce96e6953157 | refs/heads/master | 2023-01-21T19:57:18.763894 | 2020-11-25T04:02:28 | 2020-11-25T04:02:28 | 297,432,974 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 695 | py | from enum import Enum
PROJECT_DIR = __file__.replace("/lib/config.py", "")
class HistoricalPrice(Enum):
TIME_FRAME = 60 # minutes
CHANNEL_WIDTH = 67
class DATABASE(Enum):
class TRADINGBOT(Enum):
HOST = "*********"
USER = "*********"
PASSWORD = "*********"
DATABASE = "**... | [
"[email protected]"
] | |
81bade869b8bdc4b03be55e6fd7c30e787a314e7 | c7df38a3ab879c0254a61f35450ea3951991658e | /sim_result/parse_opcode_stat.py | 8900fc9dfd416d22873aa3e8f74e68b31abc6cd5 | [] | no_license | minhhn2910/cs6282_project | 06eaaa8973cf8cfe2e791e8d82ea85d63ff34a42 | 77286779283452c3a226a45a8bda33864402b3cf | refs/heads/master | 2016-09-12T23:40:26.075536 | 2016-04-18T17:12:41 | 2016-04-18T17:12:41 | 56,526,019 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 467 | py | #!/usr/bin/python
#this file calculate the total number of instruction per warp
import sys
def main(argv):
#argv[0] is log file name
f = open(argv[0], "r")
sum = 0
for line in f:
args = line.split()
sum += int(args[1])
print "from log " + str(sum)
#argv[1] is debug file
f1 = open (argv[1], "r")
sum_debug... | [
"[email protected]"
] | |
f0b0fba29da062733df81c727240a5d0ffa7afab | 8da1d25e1ecaeade49723207c9185c920da21040 | /HpotData.py | a7dd81a495fd65319f7a91ae422ca4be4b8275df | [] | no_license | batekmc/honeypot | fbaa7f78263e750a72f9d81057f1c5bfafbfcdd4 | ae07c622215dd5a9ee1eec345f45679db15cce67 | refs/heads/master | 2020-04-05T23:20:04.028352 | 2015-07-10T10:11:25 | 2015-07-10T10:11:25 | 32,019,518 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 404 | py |
class HpotData:
def __init__(self, ip = None, mac=None, icmp=None, tcp=None,
tcpServices = None, udpServices = None):
self.ip = ip
self.mac = mac
self.icmp = icmp#dafault behavior
self.tcp = tcp#dafault behavior
self.tcpServices = tcpServices#open por... | [
"[email protected]"
] | |
42bbeb6f9a188fa19f10abbf96f43c62426640bc | 8b6a7efd838b06e8aa2ee468c6fe1793386eeb81 | /NOT_IN_USE/WGAN.py | e7bb8052686631e9c6011bb532eb7cf3610c503e | [] | no_license | Yishaiaz/Deep_Learning_BGU_HW4 | 23f9f3c117c694d8c07ef5e5caebf1ec7eb42a31 | d9ea1130c6de5ae1b87441c66b9e10446e7870c9 | refs/heads/master | 2023-06-18T03:41:22.895899 | 2021-07-10T18:52:19 | 2021-07-10T18:52:19 | 370,263,595 | 0 | 0 | null | 2021-07-08T07:48:13 | 2021-05-24T07:21:44 | HTML | UTF-8 | Python | false | false | 14,228 | py | from typing import List
import numpy as np
import pandas as pd
import tensorflow as tf
from keras.callbacks import Callback
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import OneHotEncoder
from tensorflow.keras import Model
from tensorflow.keras.layers import Dense, Concatenate, Drop... | [
"[email protected]"
] | |
67fc115da063c9287e6ada76e5e4d1b617f534dd | 1676168244eed1c5610b2c1c38f692f89990b112 | /part3-python/Bigdata/ComStat_v0.15.py | 88aa905773aed8169fd5bcd5f19bd774c6f5136a | [] | no_license | gtpgg1013/AI_docs | 351e83f986d66224c82fff2de944753c98336d03 | 43f8eed8b2732314bd40ed65e1d7eb44dd28fc04 | refs/heads/master | 2022-12-09T17:32:02.992554 | 2019-11-20T09:03:56 | 2019-11-20T09:03:56 | 182,927,565 | 1 | 0 | null | 2022-12-08T06:50:23 | 2019-04-23T03:54:56 | Jupyter Notebook | UTF-8 | Python | false | false | 26,630 | py | import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from tkinter import *
import matplotlib.animation as animation
import psutil
import threading
import time
import math
import datetime
import platform
from tkinter import font
i... | [
"[email protected]"
] | |
59f59ab348d69ad767439cbd8df75eaca647570f | f3810660c1ed03b8624f2f8493bd98defc01317e | /chap03/07_three_neuralnetwork2.py | 6e46ac069af82fbf0f06cd72361e26e234bcc20f | [] | no_license | YoohyeonSeung/python_deep_learning | d951412885c6170f1d4ff24df9255792b4a3c9d6 | d8f719e3ee6112cc5830b1be453d592e46c81eb3 | refs/heads/master | 2020-04-19T22:49:44.351624 | 2019-02-18T09:22:02 | 2019-02-18T09:22:02 | 168,480,359 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 943 | py | import numpy as np
def init_network():
network = {}
network['W1'] = np.array([[0.1, 0.3, 0.5],[0.2, 0.4, 0.6]])
network['b1'] = np.array([0.1, 0.2, 0.3])
network['W2'] = np.array([[0.1,0.4],[0.2,0.5],[0.3,0.6]])
network['b2'] = np.array([0.1,0.2])
network['W3'] = np.array([[0.1,0.3],[0.2,0.4]])... | [
"[email protected]"
] | |
fda5b7c54f83bccf29c6b0d4fa41950f59ec38ce | d2c2989d2763ef17f27d621759f8ab9cfeb84974 | /typeidea/blog/migrations/0001_initial.py | 76c351edec954a573d8d2cd1c3351aefef1dc1c8 | [] | no_license | ZhangYanPing/typeidea | e219e6b0129ce7301b5b5a053fd02ed8f1b91083 | 88765c79f312d677f3c0e23f0f96ee883a6e3ce0 | refs/heads/master | 2020-05-04T16:34:37.407133 | 2019-04-17T09:18:06 | 2019-04-17T09:18:06 | 179,281,617 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,287 | py | # Generated by Django 2.2 on 2019-04-04 00:34
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),
]
opera... | [
"[email protected]"
] | |
cd421d090098e1023976fe2c80a704255f704709 | f22d191a5deb208f1b730667cd5b449df2b8e134 | /source/beira_app.py | f8ccbde2593ad37b1715e8dfcb6281313307477d | [] | no_license | WilsonDS/Beira | 10f104ac592f3c9f455158df4cba0fd4d72e27b3 | 0c5a1240427632ac511e2f40bf86e13d11e2c689 | refs/heads/master | 2020-12-18T20:09:45.726852 | 2020-01-22T05:55:46 | 2020-01-22T05:55:46 | 235,508,149 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,883 | py | import os
import sys
from tkinter import Tk
from tkinter import filedialog
from beira.main import beira_class
from aerodata.aerodata import aerodata_class
from TAC2Input.tac2_main import main_class
from IHBInput.ihb_main import ihb_class
if __name__ == "__main__":
if len(sys.argv) == 2:
inputF... | [
"[email protected]"
] | |
ae671c59180030aef4bf58a5dbb0cd5abbc89454 | e5dc2651bcce866d89537014221cd345b4e2d103 | /codeitsuisse/routes/parasite.py | 3fad245cec992636ce7bf3cdfa33825b513ce067 | [] | no_license | borische1322/CodeITSuisse | f748aa6fb2adaff9e8eca01998757e945d0d80f4 | 76f0a117656975652132eaa0da8aa1b58629d198 | refs/heads/master | 2023-08-14T22:31:48.765960 | 2021-09-25T10:27:08 | 2021-09-25T10:27:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,957 | py | import logging
import json
from flask import request, jsonify
from codeitsuisse import app
global p1ANS
global test
p2Ans=0
again1=1
again2=1
test=0
logger = logging.getLogger(__name__)
@app.route('/parasite', methods=['POST'])
def evaluate_parasite():
global text
data = request.get_json()
logging.info... | [
"[email protected]"
] | |
185bc9e1d1b2fcba663c80dac0791258ec2a9118 | 370977b270b42fdd2435df7cf69134d2c68caa37 | /03-fp-decorator/hw/solution.py | 29bed2f8907ba3bd9ad6d849c343e84a1f38bbb6 | [] | no_license | nagellack5C/EpamPython2019 | 5cd6af1b8393413a84af38560bf7d1606b815d9e | 3c7e7120cbd5f48bbb09dd5c5e9a27bec49332aa | refs/heads/master | 2020-05-24T11:48:33.792535 | 2019-07-04T14:29:46 | 2019-07-04T14:29:46 | 187,254,927 | 1 | 0 | null | 2019-05-17T17:15:59 | 2019-05-17T17:15:59 | null | UTF-8 | Python | false | false | 5,001 | py | import time
from functools import reduce
from timeit import timeit
# hw1
# problem 6:
# Find the difference between the sum of the squares of the
# first one hundred natural numbers and the square of the sum.
# solution:
x = abs(sum([i*i for i in range(1, 101)]) - sum(range(1, 101)) ** 2)
print(x)
# problem 9:
# Th... | [
"[email protected]"
] | |
87d2c895c4c15dd4c38376f740c302e94c9d1a8d | cbe1a042417584da2ad2ebdeb046f438953ddf4a | /web_crawler/naver_review.py | e24acd0c893897c1b68f8bd11e67ff2211129ab5 | [] | no_license | sjknight79/Police_study_200810 | 36f13276e6379deeb3972192fec1a5320924dc8d | 94329b820f854696dcefa3798ccdb4c469822adf | refs/heads/master | 2022-11-30T13:00:53.272355 | 2020-08-12T00:28:37 | 2020-08-12T00:28:37 | 285,436,413 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 430 | py | import requests
from bs4 import BeautifulSoup
url = "https://movie.naver.com/movie/bi/mi/review.nhn?code=188909"
res = requests.get(url)
# print(res.text)
soup = BeautifulSoup(res.content, 'html.parser')
# print(soup.prettify())
ul = soup.find("ul", class_="rvw_list_area")
# print(ul)
lis = ul.find_all("li... | [
"[email protected]"
] | |
3cda43de60849b7e6f49a8d3582fccee1df59256 | 0b65ab6c42179965bfd76c2c55943cb83e3c34d4 | /runserver.py | 2d3f8de484ccb862a0bc488821d4e4103f1fe730 | [] | no_license | ojixzzz/WebAnalytics-Flask | 2c3bed3cf2dbf910bf466535367bed3dd9c5e675 | f9d0de4fc71f639b0e0779664c2614a3545e58c6 | refs/heads/master | 2020-12-22T05:08:55.158147 | 2016-06-15T06:19:20 | 2016-06-15T06:19:20 | 60,417,969 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 97 | py | from analytic import app
app.debug = True
if __name__ == '__main__':
app.run(host='0.0.0.0') | [
"[email protected]"
] | |
f3d0693d7d38a4fef5b75ce72b5d6750b7ee5e65 | 0ba063f1603b9ef1e84ab8cd894cfa403dd72103 | /qipr_approver/approver/workflows/shib.py | de1086e23ee7c5e7c339a2c2fc9442acaff21867 | [
"Apache-2.0"
] | permissive | amberlallen/qipr_approver | 323ef8463d4f9d74279c782e72f797915004fe66 | cb03aef771651cb8768f2c1fa9c82ee47c234158 | refs/heads/master | 2020-12-26T03:22:17.149667 | 2016-10-27T17:44:16 | 2016-10-27T17:44:16 | 66,847,969 | 0 | 0 | null | 2016-11-03T18:39:45 | 2016-08-29T13:52:03 | JavaScript | UTF-8 | Python | false | false | 1,711 | py | from django.shortcuts import redirect
from django.core.urlresolvers import reverse
from django.contrib.auth.models import User
from django.utils import timezone
from approver.models import Person
from approver.constants import SESSION_VARS
from . import user_crud
def add_shib_information_to_session(request):
"""
... | [
"[email protected]"
] | |
7d529134fc3ef9143ade22ef95e546615b1e24e1 | c1c1a60defe660a12bb568339925a0b85d3de918 | /utils.py | b5874ef9bdaf2b94a86ad97140262e7a426868c3 | [] | no_license | mysunk/dacon-celestialtype-classification | dbf9afad251d93542d37bad12d914cb4819438cb | 872e3f06b3faa7c013856d9cf02b6b990c875ec6 | refs/heads/master | 2023-03-25T20:38:13.788811 | 2021-03-25T06:00:09 | 2021-03-25T06:00:09 | 351,323,372 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,697 | py | import pandas as pd
import glob, os
import csv
try:
import cPickle as pickle
except BaseException:
import pickle
def to_number(x, dic):
return dic[x]
def load_dataset(n_stack): # stacking에 따라 다른 dataset load -- not implemented
# load dataset
train = pd.read_csv('data_raw/train.csv', index_col=0... | [
"[email protected]"
] | |
33f4608198892596efdf57c1d8dfe31a4a950ab0 | 32c00255e58a17ea97c27f932c7e9871019f216b | /eeg_processing/config.py | 3c42a10fa560445ca29c50237a8f7c959b5c8a65 | [] | no_license | saintvictoria/crowdeeg-viewer | 9d080dac23f0bb59f0bd79a8eba164aa6ae8cc45 | 681bb37a7af55460c556584d0dc7423421f9c2fa | refs/heads/master | 2021-01-23T02:48:06.691225 | 2015-10-05T17:10:46 | 2015-10-05T17:10:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | from collections import OrderedDict
# EDF profile - signal channel numbers to the names we wish to use
edf_profiles = {
'DREAMS': OrderedDict([
('Time', 'time'),
('8', 'FP1-A1'),
('7', 'C3-A1'), # one channel is enough for MTURK!
('1', 'O1-A1'),
])
}
# EDF File Defaults
EDF_FILE... | [
"[email protected]"
] | |
74d08d6dbd8515e44b6a02e7c4576cb9cf0fd0b8 | d0a0989e2f965e482efa41456449c87cba6ea19d | /quote/dash_quote.py | 4eb3c6682fefb4c829115aeafe0f542b6ae2ff28 | [] | no_license | dsjclp/dsjclp.eu.pythonanywhere.com | cdc50a1975e4a55d7970e2f35c8a2c4140ac753f | 81491d86883ff38f9712da2725abaadc71533d26 | refs/heads/main | 2023-01-09T14:00:31.761476 | 2020-11-15T20:15:52 | 2020-11-15T20:15:52 | 273,483,698 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 30,853 | py | import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_table as dct
import dash_html_components as html
import pandas as pd
from django_plotly_dash import DjangoDash
from dash.dependencies import Input, Output, State
from dash_table.Format import Format, Group, Scheme, Symbol... | [
"[email protected]"
] |
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