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aabf19160a17327f82a222f78771dd42ed1bac4b | d603e5407706f1565a52f6b7a69073ee55c7c809 | /pythonProject3/venv/bin/chardetect | 30571812ce653f691b3f9b79ad3a67cd18217c43 | [] | no_license | obuhh/TreeGen | 9d9f187ac4841a66feb83124980e868f94aaee62 | f4691b48cfe9b659afccb86d5fd0e669aeb3ec4e | refs/heads/master | 2023-05-06T21:24:34.333638 | 2021-05-30T11:48:04 | 2021-05-30T11:48:04 | 372,199,503 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 269 | #!/Users/ivanobuhov/PycharmProjects/pythonProject3/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from chardet.cli.chardetect import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"Obukhov.I.P@gmail.com"
] | Obukhov.I.P@gmail.com | |
867d461fb328950aa3f4006290a8ecddd6bf3993 | 0a43afbcba776ed8ada0fef5425b1507aa4d51c1 | /smartbook/smartbook/sales/views.py | e49dfbf1221388510021574678f4a94867d10fe4 | [] | no_license | geethusuresh/inventory-systems | c76d6d10429f483499594df8c8f34d780531f18c | fd4211d29042776fa47da92162cbbbe8220090cd | refs/heads/master | 2021-01-02T08:51:31.278578 | 2014-09-28T07:35:54 | 2014-09-28T07:35:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 38,507 | py | # Create your views here.
import sys
import ast
import simplejson
import datetime as dt
from datetime import datetime
from decimal import *
from num2words import num2words
from django.db import IntegrityError
from django.db.models import Max
from django.contrib.auth.views import password_reset
from django.shortcuts im... | [
"geethu@technomicssolutions.com"
] | geethu@technomicssolutions.com |
ec6f71dea44bb33840b8a9d2801b571e4dff1aa1 | d2332604fc80b6d622a263b2af644425a7e703de | /fast-track/strings/4_valid_anagram.py | 4b6cd138e04b2cd36803e6c0e4c3755c99e2ed8a | [] | no_license | abhijitdey/coding-practice | b3b83a237c1930266768ce38500d6812fc31c529 | 6ae2a565042bf1d6633cd98ed774e4a77f492cc8 | refs/heads/main | 2023-08-14T23:31:06.090613 | 2021-10-18T21:35:56 | 2021-10-18T21:35:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 598 | py | """
Given two strings s and t, return true if t is an anagram of s, and false otherwise.
"""
def get_char_counts(string):
char_counts = dict()
for char in string:
if char in char_counts:
char_counts[char] += 1
else:
char_counts[char] = 1
return char_counts
def ch... | [
"ashiz2013@gmail.com"
] | ashiz2013@gmail.com |
eb9ac70c92bde94bcc4cc6f1e1aef0cd1e1fd53c | 4caeaf20ed11cdf6e7a7d8ec5059f104b96d640e | /data/build_dictionary.py | ab0ee3e00ebd075b01d34d9422b028aa327dc1ad | [] | no_license | ketranm/ptardis | 53bd6c77dd8f4a93da79c25cd73b001158f9f876 | db39dc0a2fb6b3de5a41966a0832e0b91888d97c | refs/heads/master | 2021-03-16T05:06:23.313930 | 2017-05-30T14:13:18 | 2017-05-30T14:13:18 | 75,545,428 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,146 | py | from __future__ import print_function
import numpy
try:
import cPickle as pkl
except:
import pickle as pkl
import sys
import fileinput
from collections import OrderedDict
def main():
for filename in sys.argv[1:]:
print('Processing', filename)
word_freqs = OrderedDict()
with open... | [
"ketranmanh@gmail.com"
] | ketranmanh@gmail.com |
901549bbef2eef25933f5287fabd5b99d0d5745f | 8a77b736a4a3b9fd346fabf4365bc587c6dae17a | /TASK4/pendulum.py | e37e828432ff432f30e25eb95ad056599f1e62cd | [] | no_license | yashica-patodia/KRSSG-Task-Round | 993aaa7b7629106eaf56f2d51a740dfca8d1d91c | aff97ad2fea7c287350e381dc914dcf43688ac33 | refs/heads/master | 2022-04-06T12:15:38.309592 | 2020-03-12T15:53:12 | 2020-03-12T15:53:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,047 | py | import gym
from gym import spaces
from gym.utils import seeding
import numpy as np
from os import path
class PendulumEnv(gym.Env):
metadata = {
'render.modes' : ['human', 'rgb_array'],
'video.frames_per_second' : 30
}
def __init__(self, g=10.0):
self.max_speed=8
self.max_to... | [
"pmjindal@gmail.com"
] | pmjindal@gmail.com |
6951a375f0ba97f41392f710d9d61781e2d6a461 | 5c72a1a8c77dc245ce7621f14abee2f6d9e73be7 | /ApiGen/apigen.py | 24b4b9b69392eb10228306a04097659a1e48640e | [
"MIT"
] | permissive | stpettersens/sublimetext-buildtools | 298982e985a37da87a2d439f33b8cba69881c3d3 | 6d05dc04a27accf3d68af9149f7e009fb74d1cd3 | refs/heads/master | 2021-01-15T23:45:52.237007 | 2015-04-19T02:10:25 | 2015-04-19T02:10:25 | 28,088,740 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 332 | py | # Wrapper for ApiGen (PHP)
import sys
import platform
from subprocess import call
def invokeApiGen(File):
cmd = ['apigen', '--quiet', '--source', File, '--destination', 'doc']
if platform.system() == 'Windows': cmd[0] = 'apigen.cmd'
print('ApiGen ~ Documenting PHP file: {0}'.format(File))
call(cmd)
invokeApiGen(s... | [
"s.stpettersen+github@gmail.com"
] | s.stpettersen+github@gmail.com |
290de03dc1d03cdf4b413673a35a2329d0de79e7 | a6334b9f035ac7d418c9b4ced04559a4eefb9591 | /basic/day14/函数参数补充.py | 31de948b75b7a21ea0ef3ff6db3012334d9ad624 | [] | no_license | Mr-Ma-Github/python | e814f7bb6b9926c577450dfe940c27eca5343407 | 07473087493bf528e7195e66d236ac0c5abf310e | refs/heads/main | 2023-06-17T11:36:07.590368 | 2021-07-22T09:40:48 | 2021-07-22T09:40:48 | 217,192,361 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,656 | py | # -*-coding:utf-8-*-
# @作者：haiyu.ma
# @创建日期：2020-11-25 0:19
# @Software：PyCharm
# ----------------------------------------------------------------------------
# 2.5 命名关键字参数
# 在定义了**kwargs参数后，函数调用者就可以传入任意的关键字参数key=value，如果函数体代码的执行
# 需要依赖某个key，必须在函数内进行判断
# def register(name, age, **kwargs):
# if 'sex' in kwargs:
# ... | [
"haiyu.ma@genomicarebio.com"
] | haiyu.ma@genomicarebio.com |
78e923729c6421060621119dff0a8c2341d97acb | 918e83ac92034e47fd79586c58a33e04d7f18026 | /setup.py | d66763457ed15d8bbe33323d51f40eba46394a6a | [] | no_license | danieljhubley/projecteval | 74c559d3fd4b229bfb0befd1b56f0ef9057830e7 | b360e9e07b13f6813620b436ba926f88c900f28c | refs/heads/master | 2020-06-05T19:22:52.476259 | 2014-10-12T21:16:09 | 2014-10-12T21:16:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,043 | py | try:
from setuptools import setup, find_packages
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup, find_packages
setup(
name='EValProject',
version='0.1',
description='',
author='',
author_email='',
url='',
install_require... | [
"austinvalle@gmail.com"
] | austinvalle@gmail.com |
d022c070c9c0e15bdedbc0bd09c53b5ccaf0959a | 22da469a6083d3c1d9979e26186e1c14a39c2b6a | /controllable_gan/model.py | a4c0b86226c900689b63e312d64df0e83ef2d098 | [
"MIT"
] | permissive | ErikValle/controllable_image_synthesis | 5b5971c267bf3505a13b1fcc4bb3ba9a87bc3a66 | 296fd5115ec385f9fcb94529afff2c138abae3c8 | refs/heads/master | 2022-11-22T09:58:39.698623 | 2020-07-23T15:48:23 | 2020-07-23T15:48:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,589 | py | import torch
from copy import deepcopy
from torch import nn
from .models import Generator2D, Generator3D
from .config import build_renderer, build_primitives
from .renderer import RendererBG, RendererMesh
from utils.commons import Camera, init_weights
class Generator(nn.Module):
"""Generator composed of 3D Genertor,... | [
"yiyi.liao@tue.mpg.de"
] | yiyi.liao@tue.mpg.de |
8a473f45a043cd730543734cb26eb8423679ea77 | bd03b46cd37c0b86ceb0b4d004315e5bc71ef6a9 | /mysite/settings.py | 44b3308553f0bc14ed0947dde2537e5f432eada9 | [] | no_license | kmci/my-second-blog | cd4b5e1c41627c012d7da437751caca74e464226 | e6de351076652b1704122c9a6d2981b519ff2c3e | refs/heads/master | 2021-01-21T16:27:37.334025 | 2017-05-20T14:14:44 | 2017-05-20T14:14:44 | 91,889,810 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,199 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 1.10.7.
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
... | [
"kmci.groningen@gmail.com"
] | kmci.groningen@gmail.com |
7427a528878b92af0bd4d6d3b7833e536c9f3af1 | 8b0609185265189fbec81023975221bb26cc6592 | /lib/core/function.py | 2d13c102f4d81ef56e705126541d2ecc27a6f776 | [] | no_license | witzou/HRNet-Facial-Landmark-Detection | 24afb5064444869c142cb4f7fcfd0bd0af880bb7 | 3c9f92a1887e259fede461ce40f303e23f2d0c00 | refs/heads/master | 2020-05-20T21:02:16.212344 | 2019-05-05T01:45:26 | 2019-05-05T01:45:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,444 | py | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Created by Tianheng Cheng(tianhengcheng@gmail.com)
# ------------------------------------------------------------------------------
from __future__ import absolute_import
from ... | [
"victorchanchina@gmail.com"
] | victorchanchina@gmail.com |
8751d4e2d0601a2a6fc46e4be43cb42d39e50d0f | 77da591f123ff8991f42fa71dfb3a0c0bdbf5c20 | /sortKeypoints.py | ec5b1ccf17beffef8d497afc3de274e441b6cdfb | [
"MIT"
] | permissive | franzqueissner/mimic-detection | d80462fbc6da273e94d0f1d7323d6bc2a90a5a0b | 9dc49cf57baaa7da8bb1d8eee0efe00b57384fca | refs/heads/main | 2023-03-12T03:52:21.844276 | 2021-03-05T09:14:16 | 2021-03-05T09:14:16 | 339,536,329 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,451 | py | import math
from getKeypoints import Keypoint
from classes import Mouth, Eye, Eyebrow
# helper functions
def get_line_length(start_x, start_y, end_x, end_y):
"""
takes x and y of start and end point
returns distance of those points
"""
a = end_x - start_x
g = end_y - start_y
length = math.sqrt(a**2+g**2)... | [
"franzqueissner@gmail.com"
] | franzqueissner@gmail.com |
dc249fd778ca98ecbc6b3b862b7660fbb8310715 | a4ebfeefa95e97d60f9ad2fe36e75e59e3b50769 | /Trial_Aligned_Analysis/Trial_Aligned_Utils.py | 7aa0ed89d59bb10ef4bd5bd2df5ea1bdb13b351b | [] | no_license | matt-j-harvey/Widefield_Analysis | 9f1566ac26d4164d988ab9a43d953f228b15746d | e03037e909ce986d8221113e1bbf5d46ddd7ad70 | refs/heads/master | 2023-05-01T12:30:27.064246 | 2023-04-24T11:23:37 | 2023-04-24T11:23:37 | 252,776,416 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,526 | py | import os
import h5py
from tqdm import tqdm
import numpy as np
import statsmodels.api as sm
import matplotlib.pyplot as plt
import pandas as pd
import tables
from datetime import datetime
from Widefield_Utils import widefield_utils
def get_session_averages(activity_dataset, metadata_dataset):
# Load Session L... | [
"matthew.jc.harvey@gmail.com"
] | matthew.jc.harvey@gmail.com |
0b49bc0737db31a4c7283699ef3d676d3bdd2b95 | 993c7725673fccb6aedf5c1553a6e149b14b7dd8 | /Solutions/Assignment 6 - Homework 5/MCRT_Erick_Shepherd.py | a34c35ea15636c9a75be304cb6152377fdcce407 | [] | no_license | ErickShepherd/UMBC_PHYS220_2018 | 4ec5cadb97ca7f99d7337f123c6b8035f68a1b2e | cca3a1c7c3d4d95001e273687a28c04febf855b3 | refs/heads/master | 2020-03-09T02:24:47.946689 | 2019-05-15T18:49:18 | 2019-05-15T18:49:18 | 128,539,009 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,254 | py | #!/usr/bin/python
# coding=utf-8
"""
Monte Carlo radiative transfer model, PHYS 220, UMBC.
Course information:
--------------------------------------------------------------------------------
Name: Introduction to Computational Physics
ID: PHYS 220
Instructor: Dr. Zhi... | [
"ErickEShepherd@gmail.com"
] | ErickEShepherd@gmail.com |
be1add6da439f0d174d5c0dbee0ab718d982202a | 650d95087647219a4ad21d4a8d7d263b48191c66 | /scikitlearn/day02.py | 12aa31d76252bd50cbfe707fee3b26762cb8a5dc | [] | no_license | WaterDavid/MachineLearning | 50f3206a618e2137b36e3f06f95ae8ae8ddc7e8e | 89b97c23d62b9f54fa513de6e0b4c5f8e627798a | refs/heads/master | 2020-08-16T03:22:30.668070 | 2019-10-16T03:33:38 | 2019-10-16T03:33:38 | 215,437,694 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,640 | py | from sklearn.datasets import load_iris, fetch_20newsgroups, load_boston
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
def knncls():
'''
File descriptions
train.... | [
"1841765644@qq.com"
] | 1841765644@qq.com |
edd05aa7a6d0b2519f15498c48e760666baaf731 | e9c7f991c319efe0b1831e8e8360e13c3e177555 | /Python_do_zero_Guanabara/06_Metodos/desafio/100_desafio.py | ed4107d33cd4045e831afb18d8b04a91da717e45 | [
"MIT"
] | permissive | HenriqueSOliver/Projetos_Python | a3c4cabc61442221da968df55a463d9ad5865fcc | f18c5a343ad1b746a12bd372298b2debe9bc65ec | refs/heads/main | 2023-06-05T03:11:42.879988 | 2021-06-17T22:26:03 | 2021-06-17T22:26:03 | 327,629,919 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 544 | py | from random import randint
from time import sleep
def sortLista(lista):
print('Sorteando 5 valores da lista: ', end='')
for c in range (0, 5):
n = randint(1,100)
lista.append(n)
print(f' {n}', end=' - ', flush=True)
sleep(0.5)
print('PRONTO')
def somaP(lista):
s... | [
"HenriqueSOliver85@gmail.com"
] | HenriqueSOliver85@gmail.com |
95467d6db570497c21bc5b91ad0364019f764688 | dff5752e1675e0ec57a2b05b89d7a044e72eb26e | /wholegraph/common/basics.py | 77010cca9b33bd296cd87335ac62ccc08b90fa2f | [
"MIT",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | zbn123/WholeGraph | 5d6a97f9dc2474a7b05017073026d577df7e0cad | a9131580d7c0305fbf4a47aa4d735ff5ea776866 | refs/heads/main | 2023-03-14T05:25:49.874672 | 2021-03-03T15:01:57 | 2021-03-03T15:01:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,323 | py | #
# The MIT License (MIT)
#
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation... | [
"xiaonans@nvidia.com"
] | xiaonans@nvidia.com |
17e47c09d3f09f878513877a720bec4810bda7d2 | b0da90788ade4abc067f8e000ff66fec709fe46e | /send_internet.py | 782e8cbf935a478da4963d0c3119e16e523eb5dc | [] | no_license | zlroy1023/dataGenerator | 13e3fce18d528fb5fad82c9d4c7b97cef6fe4ee5 | c6578d8ed2c293c967757d2dc74d7272e817fc54 | refs/heads/master | 2021-01-25T12:19:47.439229 | 2015-01-22T12:54:38 | 2015-01-22T12:54:38 | 29,678,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,462 | py | #test.py
import json
import urllib2
import httplib
import time
import random
# Data from keyboard
'''
print 'please input the data [time(sentat=543), node, inputs]'
print 'ex: [[535, 10, 150, 250],[530,17,1437,3164]]'
data_string = raw_input()
'''
# Construct post_url (without apikey)
post_url = 'http://emoncms.or... | [
"zhangli21117@gmail.com"
] | zhangli21117@gmail.com |
4681259f82617ba5a09860ebcd688d94a01d71ed | 9d6218ca6c75a0e1ec1674fe410100d93d6852cb | /app/supervisor/venvs/supervisor/bin/echo_supervisord_conf | 6de0696c980aed451f221b8ebe2d45ed7f743467 | [] | no_license | bopopescu/uceo-2015 | 164694268969dd884904f51b00bd3dc034695be8 | 5abcbfc4ff32bca6ca237d71cbb68fab4b9f9f91 | refs/heads/master | 2021-05-28T21:12:05.120484 | 2015-08-05T06:46:36 | 2015-08-05T06:46:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 370 | #!/edx/app/supervisor/venvs/supervisor/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'supervisor==3.1.3','console_scripts','echo_supervisord_conf'
__requires__ = 'supervisor==3.1.3'
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.exit(
load_entry_point('supervisor==3.1.3', 'c... | [
"root@uceociputra.com"
] | root@uceociputra.com | |
6fa87a602b99e6a95996dd3fcef8f8a9e179a148 | aaecaaeb5ea07a5cd5a07152b8e9e46ca62b01e7 | /models/resnext.py | 9d7ca1c0b113093f5eae8cd895aa29b5d7cd79c0 | [
"Apache-2.0"
] | permissive | XJay18/ImageClassificationKit | a7d966ca8e129ef489170442021f1cd2c9faafa7 | 8437474e48d2c1a866642c6d1a3402561be93226 | refs/heads/master | 2022-10-04T23:26:15.763601 | 2020-06-06T06:06:26 | 2020-06-06T06:06:26 | 269,881,596 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,757 | py | import torch
import torch.nn as nn
from models.common import apply_init
from models.resnet import ResNetMini
class ResNextBlock(nn.Module):
def __init__(self, in_channels, depth, groups=1, stride=1):
super(ResNextBlock, self).__init__()
self.conv1 = nn.Conv2d(in_channels, depth, 1, stride=1, bias=... | [
"XJay18@users.noreply.github.com"
] | XJay18@users.noreply.github.com |
1ee20f13ba8bf3c7087ecf6741220c27e99b2723 | ad122dd96c659420f5c3e626d176c335bc4016f1 | /atm.py | 32c9f9074e552a13050c31a26a81e2b539c5a17c | [] | no_license | Ananya236/ATM | ce25e1cc70498a3828a8adf416016cf7b33088aa | 0599b592d85060ed027da72443694a243a6b9549 | refs/heads/master | 2023-06-25T18:22:54.263971 | 2019-04-01T09:55:49 | 2019-04-01T09:55:49 | 391,157,589 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,535 | py | import xlrd
import xlwt
from xlutils.copy import *
from tkinter import *
from tkinter import messagebox
from PIL import ImageTk, Image
import time
global root
root=Tk()
root.geometry('1200x800')
root.title('ATM')
r=Frame(root)
r.grid(row=0,column=0,sticky='news')
Label(r,text='ATM',font=('Aerial 70 bold')).grid(row=0,... | [
"ananyagupta2306@gmail.com"
] | ananyagupta2306@gmail.com |
ea7c93ee1f0f97548d27b8d38c2d65404d374fc1 | 678a8567f296c3e23f16e8bf70b11f7040b794ab | /old_code/OLD_no_proxy_scrape.py | a670f792949da33ac6929f7340c0296b6285cac6 | [] | no_license | AusterweilLab/GitHubData | 51ac67386868d6561a4d91e606f4759f3a2116a8 | 3bbeee20009f70261da40963ff6aee024b8a2ebf | refs/heads/master | 2020-07-18T03:09:05.953780 | 2020-03-24T04:33:48 | 2020-03-24T04:33:48 | 206,162,459 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,060 | py | import re, os, json, time
import requests
# XXXXXXXXXXXXXX DEPRICATED XXXXXXXXXXXXXXXXXXXXXX
# Github rate limiting = 5k per hour
#time.sleep(3600)
# ------------- Load file, each newline is a json blob -------------
files = list(map(lambda x: x[0], list(map(lambda x: x[2], list(os.walk('urls'))))[1:]))
for fi... | [
"amadam15@asu.edu"
] | amadam15@asu.edu |
6e96f37974584af5283f0c71d6223bbb97d88318 | 0d113c40226fa5e7fbb00a288e1bb6b260b67c1d | /Teilimplementierungen_QUALM/Trainingsdatenselektion/evaluation_scripts/tagger_eval_perceptron_brown_fiction.py | f00be1391b0a5196afa56028ee427721803eca56 | [
"MIT"
] | permissive | kieferca/qualm | 24f50c9ea56764a66853b628b5bdd1575a70b1ff | 165c1ad62b1e5924ad2aab5c897b921a33528f48 | refs/heads/master | 2020-04-22T11:16:05.709191 | 2019-04-18T10:47:19 | 2019-04-18T10:47:19 | 170,333,631 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | import nltk
import readData as d
#Twitter
print("Brown Fiction: ")
tagger = nltk.tag.PerceptronTagger(load='false')
tagger.train(d.brown_fiction)
print(tagger.evaluate(d.tree))
print(tagger.evaluate(d.brown_fiction))
print(tagger.evaluate(d.brown_reviews))
print(tagger.evaluate(d.conll))
print(tagger.evaluate(d... | [
"kieferca@gsamelap4.informatik.uni-stuttgart.de"
] | kieferca@gsamelap4.informatik.uni-stuttgart.de |
1857d9fa00f10a982e13a209bad6f488c3bc808d | 95ab2a593ad6803cdbbaed1642c858d7c6a42802 | /admin.py | ae34e082385fec731b8f5bdeffe777a82b68a1b5 | [] | no_license | shansclensky/donatelove | c39d63ed2dade5845cb7cae28a830ad207e7da30 | b46805946aaf955f692ed5427fc816ee8270406e | refs/heads/master | 2020-03-29T11:53:09.014735 | 2018-09-26T04:26:52 | 2018-09-26T04:26:52 | 149,875,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 544 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.contrib.auth.models import User
from .models import Organisation,OrganisationCorpusFund,OrganisationExpenditureLog,UserDonation,Profile,Donations_required
admin... | [
"shansclensky66@gmail.com"
] | shansclensky66@gmail.com |
9db7915b5779306042bd48c65ebeeac02448799e | cb665e03506aeb5fbd0eda87ecfbe7dea84d35d3 | /RunDART.py | 49a061ce7224e81ca121f167cc0fb922d725a33b | [
"Apache-2.0"
] | permissive | z5476t4508/3D-DART | c894fa0a47ab05ff3bd5bd2771739f6dfe87c00a | c94ab30f8d96ab1232d55ed136bc8299dcaa5112 | refs/heads/master | 2022-06-23T13:11:43.642610 | 2020-05-04T12:13:32 | 2020-05-04T12:13:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,064 | py | #!/usr/bin/env python2.7
from __future__ import print_function
USAGE = """
==========================================================================================
Author: Marc van Dijk, Department of NMR spectroscopy, Bijvoet Center
for Biomolecular Research, Utrecht university, The Net... | [
"b.jimenezgarcia@uu.nl"
] | b.jimenezgarcia@uu.nl |
e6d659c3c44e036e0b4dca6febe405013b3b58f2 | 764f47445160b57c510f1995ba7b7a95a33c0851 | /myfirstproject/myfirstproject/views.py | a1e3f02ae9787ce8ffc5697d227035909bd49a9c | [] | no_license | vladdok1/djangoProjecs | aefa7b64a316a3f8e3d788518dce0cbab03f68a5 | 6a8c5dc65b919f79ccd0cb15099cfe42f1810edd | refs/heads/main | 2023-03-05T21:12:04.425794 | 2021-02-18T08:33:11 | 2021-02-18T08:33:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 216 | py | from django.http import HttpResponse
from django.shortcuts import render
def about(request):
return HttpResponse('This is about page!')
def home(request):
return render(request, 'home.html',{'greeting':'hello'}) | [
"vladislav@MacBook-Pro-Vladislav.local"
] | vladislav@MacBook-Pro-Vladislav.local |
470f12100c3a223e6a08e2b8fd494ea90ec33d22 | a85e4216a0b402706c64285229c924530eb742a8 | /utils/HelperUtils.py | ce34b5966b8948caa5789c49b768a89a2648b11e | [
"MIT"
] | permissive | ZIllR0/Driver-Security-Analyzer | cbc8589c0ce5f8f4b3f9843db4214e2077599583 | 0c562975c1477da8d65a14eb872a981f709d6b94 | refs/heads/main | 2023-01-01T09:02:34.165736 | 2020-10-27T02:23:14 | 2020-10-27T02:23:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 231,776 | py | # Copyright (C) 2020 Alibaba Group Holding Limited
import idaapi
from idaapi import *
from idc import *
from idautils import *
require("idaapi")
import time
from enum import Enum
import graphviz
import plistlib
from capstone import *
from UtilClasses import *
idaapi.require("UtilClasses")
from HeaderClangParser impo... | [
"noreply@github.com"
] | ZIllR0.noreply@github.com |
c6f36a097ac49b78ead5f1098692a08dd4141bfc | fb713f3bef240bf80d40a700fee832c085e4202b | /project_euler/Problem000-025/problem_018.py | f85f3193635d8ef7f1f4486b5b63e4d792fb3d7c | [] | no_license | BenjaminStienlet/CompetitiveProgramming | 814289e21436290f992e0d192cafafc1466289fe | 85b5104d94da7863341aaf2dbbba10b68ba085f2 | refs/heads/master | 2020-04-06T07:04:17.759908 | 2017-04-27T20:10:02 | 2017-04-27T20:10:02 | 18,189,228 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,586 | py | """
Maximum path sum I
========================================================================================================================
By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top
to bottom is 23.
3
7 4
2 4 6
8 5 9 3
That is, 3 + 7 +... | [
"bstienlet@gmail.com"
] | bstienlet@gmail.com |
8b271ff4cc0baee9212bc20abad191b519738461 | c53089da32c2d2d8a6fb0739078a6385c0023105 | /Stephanie/Modules/facebook_module.py | 678ff5efe5a9a2b054a037b91f81e1f0d5de9ac1 | [
"MIT"
] | permissive | damnabhi007/stephanie-va | 71183f77521e692bc250bb9ae7966a9f0faa575c | 222b3c774ba32c60068e02c38448b4fcca957837 | refs/heads/master | 2023-07-05T09:51:56.830083 | 2023-06-22T09:31:59 | 2023-06-22T09:31:59 | 119,633,993 | 0 | 0 | null | 2018-01-31T04:19:26 | 2018-01-31T04:19:25 | null | UTF-8 | Python | false | false | 5,586 | py | import pytz
import datetime
import requests
import facebook
from Stephanie.Modules.base_module import BaseModule
class FacebookModule(BaseModule):
def __init__(self, *args):
super(FacebookModule, self).__init__(*args)
self.oauth_access_token = self.get_configuration('facebook_oauth_token')
... | [
"ugupta41@gmail.com"
] | ugupta41@gmail.com |
fe5a0e993e2966d81c13db9bbb99062c610898f1 | 85dbe10ae9c49af99a863bb44daeb760839fa6ae | /prototype/proto.py | b7aba5f8fae274fec6b99cdc9a9f9a444dd25b09 | [] | no_license | dalyon2/redclusterui | 87ae12ae9ce8d57f713f32089e105da7606577c7 | 87a33dfcd49832347ea4a2e66908a5706940c8c8 | refs/heads/master | 2021-01-11T14:23:37.194777 | 2017-02-27T17:07:00 | 2017-02-27T17:07:00 | 81,364,545 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 465 | py | from flask import Flask,render_template
import redis
db = redis.Redis('localhost',port='6379')
app=Flask(__name__)
@app.route('/')
def coolstuff():
return render_template('index.html')
@app.route('/<path:path>', methods = ['PUT', 'GET'])
def home(path):
if not db.exists(path): #does the hash exist?
... | [
"ubuntu@ip-172-31-1-69.us-west-2.compute.internal"
] | ubuntu@ip-172-31-1-69.us-west-2.compute.internal |
d2acfc253b855655cd841431f192315acbd4c3f0 | 54063dafa322c5184222f5c3c27ffac1f99e5c60 | /analyze_chain.py | 575818040766023f7c813114b74e7bf8fbb7752c | [] | no_license | nonky/sample_questions_2016 | dae7ff940e007e2bcca5dcc2c4f34499d390e0e3 | f6e3151f991bce8dc0c13b8aeeebae751f4e0707 | refs/heads/master | 2020-12-25T08:38:00.444769 | 2016-06-10T14:00:40 | 2016-06-10T14:00:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 744 | py | import numpy
from matplotlib import pyplot as plt
plt.ion()
samps=numpy.loadtxt('example_chain.txt')
#to look at convergence, we can plot the Fourier transform of the
#chain samples. If we see a bend with many points below it, we
#can be confident of convergence
#let's also just check one parameter for now. You s... | [
"sievers@cita.utoronto.ca"
] | sievers@cita.utoronto.ca |
9045e8959b82e90b76c2d07a2fee20ef8d12aa6c | bec0383f2afd255a72afeb9049a898615e547327 | /electrum/electrumabc_plugins/ledger/auth2fa.py | d8d3f06db1dd469486c258771f356621ed869f65 | [
"MIT"
] | permissive | Bitcoin-ABC/bitcoin-abc | a73024a513be2c9c419f8bece06dbadde2af3fb7 | 57176a00e4d660487c41b92207da4bf27e5c0026 | refs/heads/master | 2023-09-04T11:26:24.295624 | 2023-09-01T14:24:40 | 2023-09-04T05:20:03 | 89,913,655 | 1,359 | 768 | MIT | 2023-07-19T16:41:26 | 2017-05-01T09:58:15 | C++ | UTF-8 | Python | false | false | 7,270 | py | import copy
from btchip.btchip import BTChipException
from PyQt5 import QtWidgets
from electrumabc import networks
from electrumabc.address import Address
from electrumabc.i18n import _
from electrumabc.printerror import print_error
from electrumabc_gui.qt.util import PasswordLineEdit
helpTxt = [
_(
"You... | [
"pierrekn@gmail.com"
] | pierrekn@gmail.com |
0a14047eb3f8abf77d2f4a9b22206743c40dce4e | 8e069c3fec6dc64cfa741daf6fe63212cc0be6fc | /src/p236_sol4.py | 390daf3dd35a33c59d3783768681ea7fc400d82c | [] | no_license | hpplayer/LeetCode | 81b9651d6ebf53287b1f27241be211add3e3bc8a | 527df4581439cbfa52ac17c96f56b0447f87c3f0 | refs/heads/master | 2020-05-16T21:33:20.991009 | 2015-11-01T03:55:10 | 2015-11-01T03:55:10 | 31,480,577 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,361 | py | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
# @param {TreeNode} root
# @param {TreeNode} p
# @param {TreeNode} q
# @return {TreeNode}
def lowestCommonAncestor(self, ... | [
"hpplayer@live.cn"
] | hpplayer@live.cn |
fdd21d4d71c7b30ff70161a9427d5934c9c8ae1e | cd3307b864100f9c238fdbd5b81d494a248521a3 | /photos_bot.py | 987801a3206d0585eb0c789d433014d20de6e975 | [] | no_license | jjconti/photos_twitter_bot | da91ed29d0cde4431263fe1ee7335eacf4adf5c2 | 6f9e453be5dca8f7e37cc9644eaad18003788074 | refs/heads/main | 2023-08-17T08:48:25.960885 | 2021-06-25T22:39:43 | 2021-06-25T22:39:43 | 380,368,302 | 0 | 0 | null | 2021-09-16T23:22:44 | 2021-06-25T22:41:18 | Python | UTF-8 | Python | false | false | 1,084 | py | from twitter import *
import glob
import time
token = ""
token_secret = ""
consumer_key = ""
consumer_secret = ""
LIMIT = 10
SLEEP = 144
t = Twitter(
auth=OAuth(token, token_secret, consumer_key, consumer_secret))
# Send images along with your tweets:
# - first just read images from the web or from files the re... | [
"jjconti@gmail.com"
] | jjconti@gmail.com |
a4c811a731798bb0b5be5c186d7d12bfacb9d8c5 | 1e46489ff6f87f1491b43788d009c32aeded2e98 | /check_port.py | 65ce6be066d505d0fdc90f8a468a50503c404c51 | [] | no_license | liguifan/EIT-master | 811a36d25b0e9bb5be9b341828b3f6b7ed5f1fca | f16a3e4df5d5b193d88bf296c3c253d95b9886bd | refs/heads/master | 2022-03-24T06:39:35.439498 | 2019-12-02T01:18:49 | 2019-12-02T01:18:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,094 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 30 01:30:43 2019
@author: Sherry
"""
""" check portfolio data, comparing with Quantopian"""
import pandas as pd
file_name_list = ['port_avg_roll_l1_thr0.005_fill',#wrong, updated
'port_avg_roll_l1_thr0.0025_fill',#wrong, updated... | [
"Sherry@Shery-Chen.fios-router.home"
] | Sherry@Shery-Chen.fios-router.home |
122907204fcfbe12805810cb93f16d24086bef65 | 92d2b8b93c56176ef311ee91dbbc36812568500e | /Random_Forest.py | ee014444b3ec20c902dc0a79eb1a02941d6d89ab | [] | no_license | rudradesai200/MLAlgos | bd823c33cc4bdaa0bfab89717f271c80cfc3287d | 3aa2d9e881b59f6010c389557c3a96848d6e74a1 | refs/heads/master | 2023-05-08T01:18:46.312764 | 2021-05-24T08:42:38 | 2021-05-24T08:42:38 | 315,779,541 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,558 | py | import numpy as np
from DecisionTreeContinous import DecisionTree
class RandomForest:
"""
RandomForest Implementation with Base Class - DecisionTree
TODO:
- Implement Categorical attributes
- Allow Weighted Samples
"""
def __init__(self,num_trees=10,num_nodes_stop=2,max_level=-1,cri... | [
"rudradesai200@gmail.com"
] | rudradesai200@gmail.com |
49f9a5e68ade3a0b46ee8d48c4574c7a8baebf11 | 86f05c482d5c23cfdbc8b646d50380c0b8242731 | /ListMethods.py | 9d15dd063b5769fc53da0d1a6f870f0e0da53d1b | [] | no_license | HussainWaseem/Learning-Python-for-Data-Analysis | 526ef0e46abeb2ab105d7c60788a1aaadef78d5b | 83e824ac24188fe924b0b1494a83089abceb8edf | refs/heads/master | 2021-04-06T15:37:27.587340 | 2018-03-08T08:31:42 | 2018-03-08T08:31:42 | 124,361,615 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,473 | py | ''' Some popular Lists Methods '''
# 1. list.sort() = Modifies the uniform typed-list. Return type = None.
a = [80,45,96,74,100]
print(id(a))
a.sort()
print(a)
print(id(a)) # both ids are same. Therefore it only modifies the old list. Doesnot creates a new object.
print(a.sort()) # Returns None. Since s.sort() ret... | [
"syed.azadar313@gmail.com"
] | syed.azadar313@gmail.com |
6019f6a2b408d602d005375f8b5abcb9d269579b | 9a0197809a09f71a6b7629669acae144c13828d9 | /microblog/settings/common.py | b7a04276640d6b77bec96928f14affcb67b90343 | [] | no_license | Yuri-Kosaki/microblog | 6284743ed1be2ec7eaad12b38ad2e249ff2ce733 | 8edddddf0b18f2f87a65d5772f84c19ff3fe4f62 | refs/heads/master | 2020-03-28T08:25:27.404459 | 2018-09-08T19:46:14 | 2018-09-08T19:46:14 | 147,958,119 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,803 | py | """
Django settings for microblog project.
Generated by 'django-admin startproject' using Django 2.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
... | [
"bebejuli7339@gmail.com"
] | bebejuli7339@gmail.com |
e988b6ac71afa38870ac502a5fffbdd2d8c2ae66 | 8a7470ad0e9e74ac78d97a37a971665adda602ef | /Prac_02/Online test 2.0.py | 64893ad9a725366cab800364268d92c3654f3bfa | [] | no_license | Mampson/Cp1404 | 9c37a45defadcd8755a3a40f10697cc298eeb854 | 16ba9cc74ea882aa3e7239dd9e73e1f33331211e | refs/heads/master | 2020-03-26T22:54:24.818892 | 2018-10-23T05:21:05 | 2018-10-23T05:21:05 | 145,495,501 | 0 | 0 | null | 2018-09-04T03:26:36 | 2018-08-21T02:28:10 | Python | UTF-8 | Python | false | false | 59 | py | text = "Enjoy the test"
result = text.strip().split()[0]
| [
"matthew.sampson@my.jcu.edu.au"
] | matthew.sampson@my.jcu.edu.au |
f788e66bd6713d4220c4bf3a7ca216100c42438b | a828c589fd3ccd5268e42e9c6a678a95ffd292aa | /app/routes/routes.py | edc14e807648e24f177efc6bf03a6ddb3720053c | [] | no_license | sheyslong/Naisth | 18e81313de6bd9c00031ac277d2bdc8fb8d46b66 | d0bdb5a071484a422dac813efa7e183868c82e9d | refs/heads/master | 2022-03-23T17:09:25.820637 | 2019-12-13T18:59:01 | 2019-12-13T18:59:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,106 | py | import json
from app import app
from flask import render_template, redirect, url_for
from pygments import highlight, lexers, formatters
from app.response import *
from app.routes import company, key
from app.routes.util import *
@app.route("/", methods=['GET'])
def index():
return render_template('home.html', menus=... | [
"sheilla.silva@ccc.ufcg.edu.br"
] | sheilla.silva@ccc.ufcg.edu.br |
d2d0dace518cceb6507be4aa12d8f81bf62ab457 | c1a6d814e7b3cca1f029e7a1fea491948af3444e | /leetcode/LongestValidParenthesis.py | 36d195aba3149072a17fa0607d907d539a7fd3a3 | [] | no_license | zinking/acmcatchups | f2ff71ad4f4be4865eed1c1dd59f8dbaa4e257f4 | 824b01872c5955009d181c9fb53270ec7ca5ef70 | refs/heads/master | 2020-12-18T19:34:40.584361 | 2017-10-25T13:14:00 | 2017-10-25T13:14:00 | 4,783,058 | 0 | 1 | null | 2016-04-24T09:45:09 | 2012-06-25T14:54:12 | C++ | UTF-8 | Python | false | false | 1,294 | py | __author__ = 'awang'
class Solution(object):
def longestValidParentheses(self, s):
"""
:type s: str
:rtype: int
"""
def top(ps):
if len(ps)>0:
te = ps[-1]
rr = 0
while len(ps)>0 and te>=0:
rr+=t... | [
"zinking3@gmail.com"
] | zinking3@gmail.com |
e5263d18dfbdd972bbd90ce3f26a2c62c3caf47a | f470a0a8d7f671cdf70c8476b77ee99009b1d75e | /MAIO/Project/Programming/Test_Triangular_Interpolation.py | 46ba214a61ad1fadbc49dd6fd0d0aba56e579fcd | [] | no_license | MarkDekker1/Study20162017 | 40fa639cee290066820341d15b1e87406b830301 | 701e7a8b8bde6012a27596d1d9b8b3a37314c5ba | refs/heads/master | 2020-07-28T19:57:48.501791 | 2016-11-01T12:49:19 | 2016-11-01T12:49:19 | 67,404,864 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,982 | py |
def experiment_res(x, y):
""" An analytic function representing experiment results """
x = 2.*x
r1 = np.sqrt((0.5 - x)**2 + (0.5 - y)**2)
theta1 = np.arctan2(0.5 - x, 0.5 - y)
r2 = np.sqrt((-x - 0.2)**2 + (-y - 0.2)**2)
theta2 = np.arctan2(-x - 0.2, -y - 0.2)
z = (4*(np.exp((r1/10)**2) - 1)... | [
"Mark Dekker"
] | Mark Dekker |
4157aa216fbdcc601f2d234eaa9a89a15f440ec6 | 90427286ebc65f96b03e49f6ed94843138e9aed6 | /wirehome.automations.message_responder/1.0.0/script.py | bf5f441bab20ab91f48fca243a6580d7c83d1d98 | [
"Apache-2.0"
] | permissive | chkr1011/Wirehome.Packages | 432cf58be3d53bd8de1bee42d0200edb09c7e486 | ffcb5e6c410c9030c58626881ef95bbe3550efc4 | refs/heads/master | 2023-09-02T18:18:02.804863 | 2022-03-06T11:47:11 | 2022-03-06T11:47:11 | 126,233,912 | 5 | 3 | Apache-2.0 | 2019-05-31T16:36:39 | 2018-03-21T20:03:02 | Python | UTF-8 | Python | false | false | 1,947 | py | config = {}
subscriptions = []
def process_logic_message(message):
type = message.get("type", None)
if type == "initialize":
return __initialize__()
if type == "enable":
return __enable__()
if type == "disable":
return __disable__()
else:
return wirehome.response_c... | [
"christian.kratky@googlemail.com"
] | christian.kratky@googlemail.com |
0535e31655cca344b677d76dbfff6337bdd4e55f | 864fd94eacac2ec37ea20feec3de161f357a0b1a | /py-src/synthesizer.py | 923c1edec6dfcc78d6f6deeff1ebd83e80659365 | [] | no_license | yusuke-matsunaga/afsyn | 0c13e9236f63bcc5ee47b34fcd3d7e7f00b1662e | 38bd191bbbf65848bf2e8096d39b8e4b3b30e611 | refs/heads/master | 2023-01-08T05:20:41.230765 | 2020-11-06T05:41:21 | 2020-11-06T05:41:21 | 306,373,024 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,987 | py | #! /usr/bin/env python3
### @file synthesizer.py
### @brief 回路を生成するプログラム
### @author Yusuke Matsunaga (松永 裕介)
###
### Copyright (C) 2020 Yusuke Matsunaga
### All rights reserved.
from scheduling import scheduling
from binder import bind
if __name__ == '__main__' :
import sys
import os
from op import Op
... | [
"yusuke_matsunaga@ieee.org"
] | yusuke_matsunaga@ieee.org |
2a99a7db473372aeeb7fa4a6ffac6b7e5ed25760 | 5058401352fd2b80bf33bd4a0c0acc77b0e05231 | /python/makeexec/makeexec.py | a4205f5d195154aaa03e44e18c1d69e964d28ad9 | [] | no_license | pgl/mcandre | 3b81ee64bf10ccaf02b9a1d44ed73e20cbcad4b6 | 81055895d872e2f93cd055f5a832c6d89848e3a3 | refs/heads/master | 2021-01-24T20:25:24.672765 | 2013-10-24T09:06:25 | 2013-10-24T09:06:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,189 | py | #!/usr/bin/env python
"""Properly shebang and mark a file as executable"""
__author__ = "Andrew Pennebaker (andrew.pennebaker@gmail.com)"
__date__ = "3 Apr 2006"
__copyright__ = "Copyright 2006 Andrew Pennebaker"
import sys
import getopt
INTERPRETERS = {
"py":"#!/usr/bin/env python",
"pl":"#!/usr/bin/env perl",... | [
"andrew.pennebaker@gmail.com"
] | andrew.pennebaker@gmail.com |
82ee25d4e1bb8a101252b76b2a674d7caf39597a | 4c6f08d806ba9e431e7947b04240d3a2503dc4ca | /3.feature/3.1.filter.py | a3caf3872a275e5469d45daafa1ca14b900c3a7d | [] | no_license | lovehyun/tutorial-opencv | 415468c83ee4ad8ca4686ceb41a14c5ac822c5ac | dccf9e79358693742d735a1d084cd77d78eda052 | refs/heads/master | 2023-07-16T07:03:21.771063 | 2021-08-21T08:31:00 | 2021-08-21T08:31:00 | 396,325,111 | 7 | 1 | null | null | null | null | UTF-8 | Python | false | false | 434 | py | import cv2
import numpy as np
img = cv2.imread('../Resources/Photos/shape.png')
cv2.imshow('shape', img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# [1 1 1] [0.111 0.111 0.111]
# G = [1 1 1] G = [0.111 0.111 0.111]
# [1 1 1] [0.111 0.111 0.111]
kernel = np.ones((3,3), dtype=np.float64) / 9
prin... | [
"lovehyun@hotmail.com"
] | lovehyun@hotmail.com |
fb3d22f475441b51c0e68f11d799ebd713d1b812 | 87382c73a987c6395e35dddf3ec34d03a2d38e4b | /design.py | 287fdbd51056a10d4a3acc192cca3e60eec9e8eb | [] | no_license | Bolteren/lesson01_QT | f8ea0194a09cfadd4b40eeedc1972db503abae67 | b2627a3f97cd136921678cb482d87cdf47487f7a | refs/heads/main | 2023-06-30T03:11:58.644180 | 2021-07-27T18:12:59 | 2021-07-27T18:12:59 | 389,940,727 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,507 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'design.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWin... | [
"BolterHell@gmail.com"
] | BolterHell@gmail.com |
9e11d9b929c0c2d083a7f573add7740b52a1b878 | 96901d0fc591e6d0962859980713f2a7baaa3a67 | /api/serializers.py | b2ad978a593d79f9d23a601c0941f2622347f3bc | [] | no_license | nchen0/Sprint-Challenge--Django-I | fc457fb948d01da78b4c33b2982803eb3770538a | aa4476a455aa655d43f1112c92d79bbad10e59b5 | refs/heads/master | 2020-03-29T10:19:15.396358 | 2018-09-21T17:56:43 | 2018-09-21T17:56:43 | 149,798,996 | 0 | 0 | null | 2018-09-21T17:55:16 | 2018-09-21T17:55:16 | null | UTF-8 | Python | false | false | 741 | py | from rest_framework import serializers, viewsets
from .models import PersonalSong
class SongsSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = PersonalSong
fields = ('title', 'artist')
def create(self, validated_data):
user = self.context['request'].user
... | [
"nicky.chen0@gmail.com"
] | nicky.chen0@gmail.com |
b6589c60543e2eb852a24bba5a6d75cbcd07891a | 805ef01d18578bdbe136d00c8ad82e0148fb3396 | /model-in-image-blog/weblogic-deploy/lib/python/compare_model.py | 68f4dde752f1ec42590743e9f32c3655ab1f18fa | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT",
"BSD-3-Clause",
"UPL-1.0",
"BSD-2-Clause"
] | permissive | iRohitBajaj/weblogic-poc | 8c14c2087817fa6f08d8b0ab49d200b1460add77 | 4c749f86759d78d34b66883371a1e257f5e5761e | refs/heads/main | 2023-01-04T11:11:51.162265 | 2020-10-25T20:35:07 | 2020-10-25T20:35:07 | 305,476,195 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27,692 | py | # Copyright (c) 2020, Oracle Corporation and/or its affiliates.
# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl.
#
# ------------
# Description:
# ------------
#
# This code compares python dictionaries. It is used to compare the new vs the old version.
# If ... | [
"rohitextrastuff2@gmail.com"
] | rohitextrastuff2@gmail.com |
b66586acf64dd69666c18207ed9ae0d5adfc0844 | bb12da8a0d637b68255b04b182fdd47558bec12e | /tests/test_differ_enums_aohdiffopts.py | e3fd4159f13302d70f7549839fd4de0876f038b0 | [
"ISC"
] | permissive | wwkimball/yamlpath | 03f1dffc0c5d5208d43fca33578de9ad0074c395 | be7af7de60e920659b535aaae39046e84c85c248 | refs/heads/master | 2023-08-25T07:42:53.174510 | 2023-03-30T22:32:16 | 2023-03-30T22:32:16 | 184,194,939 | 102 | 20 | ISC | 2023-03-30T22:32:17 | 2019-04-30T05:05:17 | Python | UTF-8 | Python | false | false | 827 | py | import pytest
from yamlpath.differ.enums.aohdiffopts import AoHDiffOpts
class Test_differ_enums_aohdiffopts():
"""Tests for the AoHDiffOpts enumeration."""
def test_get_names(self):
assert AoHDiffOpts.get_names() == [
"DEEP",
"DPOS",
"KEY",
"POSITION",
"VALUE",
]
def test_get_choices(self):
... | [
"30981667+wwkimball@users.noreply.github.com"
] | 30981667+wwkimball@users.noreply.github.com |
fa6e9c389078146c368b5362c5a13805d283f14b | 0b4a626379f3445e5cdb7bc9d8712d8641e00d66 | /ClassifyContigs.py | 56f4adfc5fae879d3513ebfd0b1361c8ff74f550 | [] | no_license | ValentinaPeona/REPdenovo | 047dd8ab55242fc0c236426a06661687d5b41819 | 2a6d2bb3dbfe7fd7fbbff8231437cf549a3b313c | refs/heads/master | 2021-01-21T02:45:22.238162 | 2015-03-07T06:34:52 | 2015-03-07T06:34:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,051 | py | __author__ = 'Chong Chu'
import sys
import os
from subprocess import *
from collections import defaultdict
from BasicInfoPaser import readContigFa
def isSufPreOverlap(seq,ilen,icutoff):
if len(seq)<ilen:
ilen=len(seq)
sprefix=seq[0:ilen]
istart=-1*ilen
ssuffix=seq[istart:]
cmd="./TERefi... | [
"chongchu.cs@gmail.com"
] | chongchu.cs@gmail.com |
2b36e3a81b26841d7cc8efc5d2beecf6b1a49a11 | 0b54d4250fbe91c244bfc28a46e7c36a5e36cd31 | /Module/SurfsUp_Challenge.py | b5512dfb1648616d4fd45028095a82431cc8b95a | [] | no_license | rick2stack/surfs_up | 03d413898f9d0a235a79543db89ba83b47a2fa36 | 672bd47d173400242d6fc7e952189392807ae092 | refs/heads/main | 2023-07-15T02:13:58.895391 | 2021-08-29T15:16:17 | 2021-08-29T15:16:17 | 394,811,320 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 882 | py | import datetime as dt
import numpy as np
import pandas as pd
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify
#import app
engine = create_engine("sqlite:///hawaii.sqlite")
Base = automap_ba... | [
"82985823+rick2stack@users.noreply.github.com"
] | 82985823+rick2stack@users.noreply.github.com |
7ce9433197bacbca3625d3fe9ea0a702c90361df | 1cdb017e6ba611cb4b739019f2d6847d73adab4e | /H10_1.py | e75d9c432c0e587784b1d5c3d9c8a5486bcf531c | [] | no_license | cherwin/automate-the-boring-stuff | 70c7221f6e6fd39fc3675b7fc88f73fa27795106 | 09700f119e4964cf9d7d21f3b6bb0ffb7aaead85 | refs/heads/master | 2020-03-21T14:10:37.293563 | 2018-07-01T20:38:42 | 2018-07-01T20:38:42 | 138,644,594 | 0 | 1 | null | 2018-06-25T20:09:59 | 2018-06-25T20:09:59 | null | UTF-8 | Python | false | false | 488 | py | #! usr/bin/env python3
import logging
logging.basicConfig(level=logging.DEBUG, format=' %(asctime)s - %(levelname)s - %(message)s')
logging.debug('Start of program')
def factorial(n):
logging.debug('Start of factorial(%s)' % (n))
total = 1
for i in range(1,n + 1):
total *= i
logging.debu... | [
"michellemaas@live.nl"
] | michellemaas@live.nl |
fd7ced01e9d737f0054f4f42b05bb91b509b47de | a7ef6aff413d9ecb4a29fc986c710b6813be9667 | /cloud_functions/preprocess.py | 3bd47a09b437ac0428b0a1f4982e61920e257a8f | [] | no_license | klmilam/ieor4577-sentiment-analysis | 04393132c993114f6ae6740291f221042049260b | 437bbc99f04e9230e1c1c5b3ccd0b1376e8fc84a | refs/heads/master | 2021-09-05T00:37:11.678626 | 2020-03-10T00:08:02 | 2020-03-10T00:08:02 | 240,971,518 | 0 | 0 | null | 2021-08-25T16:00:16 | 2020-02-16T21:49:39 | Python | UTF-8 | Python | false | false | 3,918 | py | """Preprocessing library to clean and embed tweets"""
import json
import os
from urllib.parse import urlparse
import zipfile
import tensorflow as tf
from nltk.tokenize import TweetTokenizer
class PreprocessTweets():
"""Library to perform preprocessing for sentiment analysis on tweets."""
#pylint: disable=too... | [
"kmilam@google.com"
] | kmilam@google.com |
369600eb04fb78121977a41f64c63cab8ecd8243 | 6fa0d5d3b61fbce01fad5a7dd50258c09298ee00 | /Algorithm/BOJ/1051.py | 267eb1c6bd32d770b9a4e55572968cf549d5ad9d | [] | no_license | athletejuan/TIL | c8e6bd9f7e2c6f999dbac759adcdb6b2959de384 | 16b854928af2f27d91ba140ebc1aec0007e5eb04 | refs/heads/master | 2023-02-19T13:59:06.495110 | 2022-03-23T15:08:04 | 2022-03-23T15:08:04 | 188,750,527 | 1 | 0 | null | 2023-02-15T22:54:50 | 2019-05-27T01:27:09 | Python | UTF-8 | Python | false | false | 1,216 | py | N,M = map(int, input().split())
base = [input() for _ in range(N)]
def rectangular(l):
while l:
for i in range(M-l):
for j in range(N-l):
if base[j][i] == base[j][i+l] == base[j+l][i] == base[j+l][i+l]:
return (l+1)**2
return rectangular(l-1)
retu... | [
"vanillasky84.0627@gmail.com"
] | vanillasky84.0627@gmail.com |
037ce96b5fa4c5d09566f3ecd49eced15312ac07 | a36cb10aa2d8ec4f98f7130b70c1c9de2bc334a0 | /06-Acceso-Base-de-Datos/Ejercicios/ejercicio13.py | b7826fef3479179fc71d8837bd1cc0e60200bd1b | [] | no_license | mrgold92/python | 3d71cd69d6f23a46631f56b130ea84a344f79aa1 | 9dab6e42cb51823e09d54bf6d31ae1367b2bedb2 | refs/heads/main | 2023-05-07T11:15:38.065893 | 2021-05-15T15:01:26 | 2021-05-15T15:01:26 | 360,465,006 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,580 | py | import pymssql
con = pymssql.connect(server='localhost', user='david',
password='root', database='northwind')
cursor = con.cursor(as_dict=True)
idPedido = input("Identificador del pedido: ")
cursor.execute("SELECT * FROM orders WHERE OrderID = %d", idPedido)
pedido = cursor.fetchone()
print(... | [
"davids1_4@hotmail.com"
] | davids1_4@hotmail.com |
6d4d0559bdc496f96fdd682b9132b51d9fd0527b | 8e8b059fc89410b0345b784997be6dc6e146eea6 | /click.py | 2fd355ae5e94558d6d8c48a26b4734073e2c313b | [] | no_license | ylly08/Cisco_Automation | 36b6e4e0dea2037a64e1cdf44117b5772371bf53 | 29ac198f4035a48ff716c529ba36e008436d824c | refs/heads/master | 2023-03-01T04:34:53.290327 | 2021-02-07T22:23:44 | 2021-02-07T22:23:44 | 335,030,802 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 157 | py | from PyQt5.QtWidgets import QMainWindow, QApplication, QPushButton, QTextEdit
from PyQt5 import uic
import sys
##
def clickedBtn(self):
print('test')
# | [
"78171236+ylly08@users.noreply.github.com"
] | 78171236+ylly08@users.noreply.github.com |
a91abf6d5636baeb0668cc87fc1d2bd83b58edcd | 518db5b8149440e7fa68698bfd20f2839b8ca697 | /generator/group.py | b7523deed4753d70f3b29c88897887787ae37b77 | [
"Apache-2.0"
] | permissive | aogn/python_train | a3cf7a66818764fbc628958321a15d860c4928e1 | 40131b24633c9771452813872061ca5335edecd8 | refs/heads/master | 2020-04-29T09:21:00.690232 | 2019-05-19T18:27:29 | 2019-05-19T18:27:29 | 176,021,341 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,008 | py | from models.group import Group
import random
import string
import os.path
import jsonpickle
import getopt
import sys
try:
opts, args = getopt.getopt(sys.argv[1:], "n:f:", ["number of groups", "file"])
except getopt.GetoptError as err:
getopt.usage()
sys.exit(2)
n = 5
f = "data/groups.json"
for o, a in op... | [
"a.ognienko@gmail.com"
] | a.ognienko@gmail.com |
52da75f4687b6745104bd38ebb4609cff31ace79 | e89de1bda96ef95c0b7bb284c82b1fb61fd792fb | /auth/server.py | 899eaa5180da7c4fb2c8825e4a4a3f483bdf04f6 | [] | no_license | khasanovaa/DC | e7ce2950f49ae014177ca2519df15476c5a04b3e | b82cb81cd8b7a28cd2f7be556efb78f331ded41b | refs/heads/master | 2023-08-17T15:30:47.784068 | 2020-06-08T13:56:52 | 2020-06-08T13:56:52 | 245,680,254 | 0 | 0 | null | 2023-08-14T22:10:16 | 2020-03-07T17:58:45 | Python | UTF-8 | Python | false | false | 5,186 | py | import tornado.ioloop
import tornado.web
import json
from Database import DataBase
from authconfig import AUTH_PORT
import pika
import secrets
def print_elem(elem):
return str(elem)
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.clear()
self.set_status(200)
respons... | [
"khasanovaaliya19@gmail.com"
] | khasanovaaliya19@gmail.com |
e13a845d8ad34ca48f0ed68b71201f4bdde30e96 | bd5a5b2e6984b6f537f3dab24cae456de57e615f | /Pokemon/__init__.py | f5ed173e327caf3d87d2c834dc8d95c2536bd8be | [] | no_license | CarefulAstronaut/Python_Fun | be79dd062f84d02434e67c91f9838e1a50e132d4 | feefc5df079200875c0b38dfd0a8723ecd1ac4ce | refs/heads/master | 2022-06-07T05:56:01.247024 | 2020-05-05T03:40:31 | 2020-05-05T03:40:31 | 260,126,316 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 119 | py | # -*- coding: utf-8 -*-
"""
Created on Sun May 3 23:09:42 2020
@author: Mitch
@Git: github.com/CarefulAstronaut
"""
| [
"48593150+CarefulAstronaut@users.noreply.github.com"
] | 48593150+CarefulAstronaut@users.noreply.github.com |
06e5ba2bc7a4b4c2282f1ca9234873a44c3eccb8 | f319aeb1e5d489268ade9e9ee8c7f1881608d70f | /utils/metrics.py | ed41baba0b872fa1cff29e445acd7baa8b25fe43 | [
"MIT"
] | permissive | AfifCeshter/MD3 | d0a59000d50588655cbd2aa085621a688fb74d38 | 3df45918e33437e9a2309f7965f34f3a75621059 | refs/heads/main | 2023-08-15T03:16:13.208308 | 2021-10-12T03:29:33 | 2021-10-12T03:29:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,259 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Han"
__email__ = "liuhan132@foxmail.com"
import torch
import torch.nn
def evaluate_acc(predict, truth):
"""
compute the accuracy of predict value
:param predict: (batch, _)
:param truth: (batch)
:return:
"""
_, predict_max = pre... | [
"liuhan132@foxmail.com"
] | liuhan132@foxmail.com |
44bb08d1eb1cf06afe26eafcbb135c4b3e59f333 | e31d6c6c74a71daf27d618de4debf59e8cb9f188 | /gluon/losses.py | 22f050cb0f61e493be60803078e9ba0ce4e905eb | [
"MIT"
] | permissive | vlomonaco/imgclsmob | 574ebfbfe4be7a11c8742f34261bc4e7cc1f30be | d0d1c49a848ab146213ef4cbd37239799d0102d8 | refs/heads/master | 2022-04-18T16:03:11.361053 | 2020-04-14T06:17:36 | 2020-04-14T06:17:36 | 255,555,032 | 0 | 1 | MIT | 2020-04-14T08:39:59 | 2020-04-14T08:39:58 | null | UTF-8 | Python | false | false | 5,009 | py | """
Loss functions.
"""
__all__ = ['SegSoftmaxCrossEntropyLoss', 'MixSoftmaxCrossEntropyLoss']
from mxnet.gluon.loss import Loss, _reshape_like, _apply_weighting
class SegSoftmaxCrossEntropyLoss(Loss):
"""
SoftmaxCrossEntropyLoss with ignore labels (for segmentation task).
Parameters
----------... | [
"osemery@gmail.com"
] | osemery@gmail.com |
3800e507e0ad096d70dcd54529c74c7523ece7fe | f3ea8b24bd36df891a5029cc0577f3c254866d6b | /mrmkt/common/sqlfinrepo.py | 7bc4088f91f2f972ed657329bea9e43344c0abb7 | [] | no_license | dtandersen/mrmkt | c416362810f07e47f0a889ebf52d9eafad880b6f | f5564a4b63239664138af69dabbadf970828fc21 | refs/heads/master | 2023-01-23T14:41:45.407879 | 2021-12-21T04:12:16 | 2021-12-21T04:12:16 | 200,109,614 | 0 | 0 | null | 2023-01-20T23:39:26 | 2019-08-01T19:41:14 | Python | UTF-8 | Python | false | false | 10,741 | py | import datetime
from dataclasses import dataclass
from typing import List
from mrmkt.common.sql import SqlClient, JsonField
from mrmkt.entity.analysis import Analysis
from mrmkt.entity.balance_sheet import BalanceSheet
from mrmkt.entity.cash_flow import CashFlow
from mrmkt.entity.enterprise_value import EnterpriseValu... | [
"git@davidandersen.us"
] | git@davidandersen.us |
2aaa480164f301f36f31bc190f51d6e44f83463b | 68c19902ad22e2ca97a03ad563743f268db1dbbc | /.env/bin/rst2xetex.py | 351232a625a04a67b5a2953c1805546f1dca39f7 | [] | no_license | eksat/SatriaFinaceelTest | ef6e0e6c8120c6f6a4c8b7cb9da9369e8bf7f155 | 69d23d34f0d8de54169edb9a2b50898704bcefd1 | refs/heads/master | 2023-05-10T17:49:41.892496 | 2020-06-13T09:32:53 | 2020-06-13T09:32:53 | 269,935,480 | 0 | 0 | null | 2021-06-02T02:03:43 | 2020-06-06T09:42:28 | Python | UTF-8 | Python | false | false | 897 | py | #!/Users/satria/FinaceelTest/.env/bin/python
# $Id: rst2xetex.py 7847 2015-03-17 17:30:47Z milde $
# Author: Guenter Milde
# Copyright: This module has been placed in the public domain.
"""
A minimal front end to the Docutils Publisher, producing Lua/XeLaTeX code.
"""
try:
import locale
locale.setlocale(loca... | [
"42401695+esatria@users.noreply.github.com"
] | 42401695+esatria@users.noreply.github.com |
7de408bda7a949ce5861b338e05c556e4ed692d7 | 3125d248b558204df339a923146175b2143508ad | /titanic-death/linear_working_system.py | 62c9dfdf6ea4c1f683d37356315ff4cd8929e00c | [] | no_license | lagercat/ml-systems | f613d0e082134bf293fccf88fad5d8f7b035e683 | 71e3c07506a546bdfc3499658f652b6dac30373a | refs/heads/master | 2020-03-20T17:34:03.064979 | 2018-06-29T21:47:46 | 2018-06-29T21:47:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,643 | py | import tensorflow as tf
from get_data import inp, load_data, load_submit, write_to_file
def main(argv):
(train_x, train_y), (test_x, test_y) = load_data()
feature_columns = [
tf.feature_column.categorical_column_with_identity(
key='Pclass', num_buckets=5),
tf.feature_column.categ... | [
"malessebastian@gmail.com"
] | malessebastian@gmail.com |
c2f18d8a7fb99472db5625ff1cc5f8c84531323b | e68ca6228eba927b81bfc666aa02bbbbfa060053 | /byte_pair_encoding/bpe.py | 3948cfbb43e67075fe9008a9548515ef35313f2f | [] | no_license | CecilJxSu/nlp-collection | 4096d073e1e17570673405f71116b8d44484b661 | 109e6c98cc5caca5503fe5f94de0047b2e0da19a | refs/heads/master | 2022-07-06T01:31:32.587657 | 2019-11-22T07:24:41 | 2019-11-22T07:24:41 | 222,379,738 | 0 | 0 | null | 2022-06-21T23:27:22 | 2019-11-18T06:37:04 | TeX | UTF-8 | Python | false | false | 888 | py | #!/usr/bin/env python3
import re, collections
def get_stats(vocab):
pairs = collections.defaultdict(int)
for word, freq in vocab.items():
symbols = word.split()
for i in range(len(symbols)-1):
pairs[symbols[i],symbols[i+1]] += freq
return pairs
def merge_vocab(pair, v_in):
v_out = {}
bigram_p... | [
"ceciljxsu@gmail.com"
] | ceciljxsu@gmail.com |
2e1c49c9ad0740b75147789a0c0d4b5d54c026b1 | 62e58c051128baef9452e7e0eb0b5a83367add26 | /edifact/D00A/JAPRESD00AUN.py | 4fb33d38de066ce2be86ab6db137a31ba760f7d6 | [] | no_license | dougvanhorn/bots-grammars | 2eb6c0a6b5231c14a6faf194b932aa614809076c | 09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d | refs/heads/master | 2021-05-16T12:55:58.022904 | 2019-05-17T15:22:23 | 2019-05-17T15:22:23 | 105,274,633 | 0 | 0 | null | 2017-09-29T13:21:21 | 2017-09-29T13:21:21 | null | UTF-8 | Python | false | false | 2,391 | py | #Generated by bots open source edi translator from UN-docs.
from bots.botsconfig import *
from edifact import syntax
from recordsD00AUN import recorddefs
structure = [
{ID: 'UNH', MIN: 1, MAX: 1, LEVEL: [
{ID: 'BGM', MIN: 1, MAX: 1},
{ID: 'DTM', MIN: 1, MAX: 2},
{ID: 'PNA', MIN: 1, MAX: 99, LEVEL: [
... | [
"jason.capriotti@gmail.com"
] | jason.capriotti@gmail.com |
35791ba0523f6bea102456d45c4209ed01ba978f | 783d2084639184ee5a0799948987d1846e1a3309 | /src/preprocessing/Preprocessor.py | 794eab450fe2a763a167df3d8303446075c84e93 | [] | no_license | olegDk/data_preprocessing | 0b55b07a65edbd341ba09b70bdf23d5baa964bfb | c41bf373b792e78e8b8864a0c89026163bdf98a4 | refs/heads/master | 2020-11-25T12:58:05.915400 | 2019-12-17T19:02:10 | 2019-12-17T19:02:10 | 228,674,564 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,755 | py | import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.preprocessing import StandardScaler, MinMaxScaler
pd.options.mode.chained_assignment = None
class Preprocessor(BaseEstimator, TransformerMixin):
def __init__(self, scaler_type: str = 'standard'):
... | [
"oleg.davydiuk1995@gmail.com"
] | oleg.davydiuk1995@gmail.com |
9e53dc3922044388bd092d80bd674f9ba64a8e1e | 32f048a89a5d0fcba80b4d1df34a86e1ec849657 | /src/day1/day1.py | cb1c982acc11999c4ec2b0e423d9e16b0b6210ff | [] | no_license | Z-P-J/PythonProgrammingEveryday | ef7e6c7dfd750a9ca54ba68bc39fdac52e133b45 | 895c8cc66d7baa3e1acd6bc8e0091df35b54a40a | refs/heads/master | 2020-08-29T23:35:18.153960 | 2019-12-21T14:39:04 | 2019-12-21T14:39:04 | 218,203,367 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py | '''
一球从100米高度自由落下，每次落地后反跳回原高度的一半；
再落下，求它在第10次落地时，共经过多少米？第10次反弹多高？
'''
total = 0.0
temp = 100.0
for i in range(10):
# 落地
total = total + temp
# 反弹
temp = temp / 2
if i == 9:
print("total = %f\n" % total)
print("temp = %f\n" %temp)
total = total + temp | [
"37832345+Z-P-J@users.noreply.github.com"
] | 37832345+Z-P-J@users.noreply.github.com |
96740dde834143aebf77144f9f9b5d732e356769 | 6c564d94f5351426cf18139758ea960582ddfbf6 | /cz/newTencent/newTencent/items.py | 327403e1aa7c38a3397a22ed6bf87b92e2f6f14a | [] | no_license | Fudeveloper/python | c4fbf1325bc40cc1a673eb2b92d6dd5d962658c3 | cda3ca5e4b689000839f365f0c408bdab46521ac | refs/heads/master | 2021-01-01T17:06:34.220994 | 2017-09-08T03:51:22 | 2017-09-08T03:51:22 | 97,908,484 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class NewtencentItem(scrapy.Item):
name = scrapy.Field()
# 详情链接
link = scrapy.Field()
# 职位类别
category = scrapy.Field()
# 人数
... | [
"wo951127"
] | wo951127 |
e1acda8fbe8f2ac2e632703766e1c62d312fa38b | 0f49e106ef40ae3cd5544319e1ace91323d9485a | /toolbot/scripts/google_images.py | af28db44bf2cb75d85c356d8895e09ef148c4164 | [
"MIT"
] | permissive | tgerdes/toolbot | 1790718800230e82d96f4a236abad82e4036c74a | 96d684942f817f183ff9d7b0436dbd2d8bbb9b0b | refs/heads/master | 2021-01-21T06:53:19.858082 | 2014-09-17T14:08:17 | 2014-09-17T14:08:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,021 | py | import re
import json
import asyncio
import random
import aiohttp
GOOGLE_IMAGE_API = 'http://ajax.googleapis.com/ajax/services/search/images'
def plugin(bot):
@bot.respond(re.compile(r'(image|img)( me)? (.*)', re.I))
def image_me(msg):
asyncio.Task(imageMe(msg, msg.match.group(3), cb=msg.reply))
@... | [
"thom.gerdes@gmail.com"
] | thom.gerdes@gmail.com |
a5195a0440098dbf208d890e6e976bb32d1963bf | 386645c18f7100cf056153082666c9deed39364a | /mobapp/urls.py | 8bf52346eb57f9e413ce0d7fe43bc26569972dc7 | [] | no_license | EscEller/Invictus-project | 05e566cfc24e188d36d20928ab3a572435487e2f | 82cc3d0715f0450d59baa6db6bc54e1833edc691 | refs/heads/main | 2023-03-11T23:09:49.156958 | 2021-03-03T09:55:57 | 2021-03-03T09:55:57 | 344,030,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 929 | py | """mobapp 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')
Clas... | [
"noreply@github.com"
] | EscEller.noreply@github.com |
a6fa34830ee3192b719d7b8f5eb427d212cd27e5 | 3fb93b805cd9c6d19f21a443001fec4597f9105f | /scripts/uncertainty_scripts/train_all_tables_rand.py | 39396c100a5fe4dccab14176fe232075fcc79537 | [
"Apache-2.0"
] | permissive | neuroailab/curiosity_deprecated | c3a5a28d93b5bb0d923719c8fe289cfc9a9feec3 | 65f7cde13b07cdac52eed39535a94e7544c396b8 | refs/heads/master | 2021-08-15T08:07:34.845737 | 2017-11-15T19:35:45 | 2017-11-15T19:35:45 | 69,374,295 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,145 | py | '''
An object and a table, this time random.
Note: first experiment didn't have the exp id switched, so it is tab.
'''
import sys
sys.path.append('/home/nhaber/local_copy/curiosity')
sys.path.append('/home/nhaber/local_copy/tfutils')
import tensorflow as tf
from curiosity.interaction import train, environment, dat... | [
"haber.nick@gmail.com"
] | haber.nick@gmail.com |
14373eb13da0c8a397a80097e05d062bdcde8455 | f20abf7698b43b52ead1613a5b7ded2c4acec933 | /tests/system/conftest.py | 3a89ba763ba9172b49ccaca750728d701474ff6a | [
"Apache-2.0"
] | permissive | e7dal/gapic-generator-python | 85aa63d5371632bece068d481038d9725fb276a4 | eb4f4aa014db42dc240bbca600f4c59eff155dc9 | refs/heads/master | 2022-11-22T04:45:33.152563 | 2020-07-17T02:47:37 | 2020-07-17T02:47:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,927 | py | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | [
"noreply@github.com"
] | e7dal.noreply@github.com |
8b0a8b7988defedcd15dfe7a31ee54d8f36cc403 | 9c3d21b36167447835beff437b5c865a0a12217a | /test/test_pima.py | 8f67b22746b09152c326908507989e6e9a1c4ed8 | [] | no_license | alamaranka/ML_TensorFlow | 3188c8c2c09093200037606ec0e1f793bd35bbb8 | 0ab325f1ae0752cf035af102058fe00e26baecb1 | refs/heads/master | 2020-05-03T01:47:28.594300 | 2020-04-19T18:06:45 | 2020-04-19T18:06:45 | 165,538,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,125 | py | from neural_nets import neural_nets
from sklearn.preprocessing import LabelEncoder, MinMaxScaler
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
import pandas as pd
import warnings
warnings.filterwarnings("ignore")
df = pd.read_csv('datasets/pima-indians-diabet... | [
"noreply@github.com"
] | alamaranka.noreply@github.com |
07857e2eb62df9babde8c7eb0e291b84e707c4c8 | 79052ee42a843f6389dc7a4ae2b92512590715d9 | /score.py | d354d5ce05ea36d8e5c8a18bf12fe120fe970d0a | [] | no_license | hlorenzi/mariokartbot | e72206842a6953bcbb8fc93d3ecba83ea0a4025c | 30816ea28e393a875f1d8e8482b6ee6555972799 | refs/heads/master | 2021-01-16T05:28:48.520287 | 2017-08-14T23:15:44 | 2017-08-14T23:23:36 | 99,989,915 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,653 | py | import math
from bisect import bisect_left
from bisect import bisect_right
class ScoreManager:
def __init__(self, cfg):
self.cfg = cfg
self.user_id_to_score = dict()
self.sorted_scores = list()
self.sorted_user_ids = list()
def get(self, user_id):
return self.user_id_to_score.get(user_id, self.cfg["... | [
"hlorenzi12@gmail.com"
] | hlorenzi12@gmail.com |
830510183c1a21c8df0759aa9047cb4d65f415a3 | 639c1f8c8bec57cb49665142ae2985d50da8c757 | /mysite/admin.py | 5bf0c8b4754467c15524a98be087b8fd1762af6d | [] | no_license | info3g/hospitalevent | 4c7d66d3af5b1e0e3f65cdd375b99324042f7c9b | fdd17bd7ae0828bd5bbdcf8fc61689f5485a571f | refs/heads/master | 2022-11-05T12:47:23.700584 | 2019-04-23T05:51:05 | 2019-04-23T05:51:05 | 166,350,181 | 0 | 1 | null | 2022-10-28T12:29:33 | 2019-01-18T05:39:27 | Python | UTF-8 | Python | false | false | 464 | py | from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(promisAnswers)
admin.site.register(diseases)
admin.site.register(symptoms)
admin.site.register(treatments)
admin.site.register(userProfile)
admin.site.register(userProfileSymptom)
admin.site.register(userProfileSympt... | [
"infothreeg@gmail.com"
] | infothreeg@gmail.com |
23e0314fbfb3f4c418ab1b8c22231ae3cef34e7e | 18dc535c39f6e003d53c7764ef6fad9725a3a231 | /two/ddtt_spider/dytt.py | a9e0489784763a0c9220b56413494305f0f077e2 | [] | no_license | zy-yz/Crawler | 6cbd6d4db60a693a83e0fb69506741cc20cae4b8 | e3e95899a4b6ad4a423cae1aa9288f5fd60f96cc | refs/heads/master | 2022-06-28T05:43:57.904478 | 2020-05-14T13:18:19 | 2020-05-14T13:18:19 | 261,789,601 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,149 | py |
from lxml import etree
import requests
BASE_DOMAIN = 'https://www.ygdy8.net'
HEADERS ={
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/"
"537.36 (KHTML, like Gecko) Chrome/72.0.3626.119 Safari/537.36",
'Referer': "https://www.ygdy8.net/html/gndy/dyzz/list_23_2.h... | [
"1090712762@qq.com"
] | 1090712762@qq.com |
af84d173b03bc4baf8608acb5593489342c5e7e9 | 10bff8988a32aa1870a069893faec946ce0e384c | /pemilu/urls.py | 18cc8322ddb81822fc28370e16ae6ac5ae8d9502 | [] | no_license | jauharibill/pemilu-django | ec795ada16e587e110b7b6dcd07f1927a612ffe1 | 93ce289b3e05e89ff53b2c07ab7edffbe144b86d | refs/heads/master | 2020-03-25T11:35:12.791464 | 2018-08-06T14:35:55 | 2018-08-06T14:35:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 183 | py |
from django.conf.urls import url
from . import views
urlpatterns =[
url(r'^$', views.index, name="index"),
url(r'^show/(?P<choice>[0-9]+)/$', views.show, name="show")
]
| [
"xcodebill@gmail.com"
] | xcodebill@gmail.com |
8a87d3c15006f967d5b0d48dbd228929680398d2 | 1a23cc660649efe857808fef96740b4046f14713 | /mysite/views.py | 201c61bd6daca2e61d1d912d5faaef4ddd4cd0ba | [] | no_license | itd/djtest | b1df94b0651bf94582778338d472d42e583c1497 | 4903d0624892501ca3a361ce2feca18c12d8d082 | refs/heads/master | 2021-01-10T10:24:08.491299 | 2015-12-10T13:55:27 | 2015-12-10T13:55:27 | 47,764,800 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def index(request):
return HttpResponse("Hello world. Polls index.")
| [
"kurt@tool.net"
] | kurt@tool.net |
0d10c4b5302f777b5282afe718c2615460335268 | b7b8cac59c24c28efb3002f639865121d3b1f3e1 | /hyperion/densities/flared_disk.py | 2d8a944f205b11a0c8019c98cbbcd14e8881149c | [
"BSD-2-Clause"
] | permissive | koepferl/hyperion | 51a461f3cde30faa6dc82f63803b659a831273d1 | d43e1d06889e8b649038b85ef6721c64dd269a4e | refs/heads/master | 2020-04-01T19:11:18.373471 | 2015-01-14T13:31:36 | 2015-03-30T15:38:08 | 34,328,089 | 0 | 0 | null | 2015-04-21T13:17:41 | 2015-04-21T13:17:40 | null | UTF-8 | Python | false | false | 13,172 | py | from __future__ import print_function, division
import numpy as np
from astropy import log as logger
from ..dust import SphericalDust
from ..util.constants import pi
from ..util.convenience import OptThinRadius
from ..util.integrate import integrate_powerlaw
from ..util.validator import validate_scalar
from .core im... | [
"thomas.robitaille@gmail.com"
] | thomas.robitaille@gmail.com |
67fa7ae938579c1b1bf7859b4a2ed0baf463a87b | 02440b8275ef8697943d8a63c6149b3e0eb5631a | /services/users/project/tests/test_config.py | aa942ddec2aa763cc09102d6c5aab00f620702bd | [
"MIT"
] | permissive | EmEmGee/oddityhr | 078576b599281187f180d2475273294a380d45f4 | f6d8dad18b15089e2e34c36c45a6e0795a3db2db | refs/heads/master | 2020-08-01T00:05:14.980208 | 2019-10-07T14:53:55 | 2019-10-07T14:53:55 | 210,795,207 | 0 | 0 | MIT | 2019-09-25T08:33:22 | 2019-09-25T08:33:22 | null | UTF-8 | Python | false | false | 2,265 | py | # services/users/project/tests/test_config.py
import os
import unittest
from flask import current_app
from flask_testing import TestCase
from project import create_app
app = create_app()
class TestDevelopmentConfig(TestCase):
def create_app(self):
app.config.from_object("project.config.DevelopmentConf... | [
"24703421+EmEmGee@users.noreply.github.com"
] | 24703421+EmEmGee@users.noreply.github.com |
3b64b90411be6f00cfcba8c6d834c3c044629f05 | 8bb4a472344fda15985ac322d14e8f4ad79c7553 | /Python3-Core/src/test/prompto/runtime/o/TestFilter.py | 2b491c5cd234908a06c3b10241185209545c0ad8 | [] | no_license | prompto/prompto-python3 | c6b356f5af30c6826730ba7f2ad869f341983a2d | 64bd3d97d4702cc912097d41d961f7ab3fd82bee | refs/heads/master | 2022-12-24T12:33:16.251468 | 2022-11-27T17:37:56 | 2022-11-27T17:37:56 | 32,623,633 | 4 | 0 | null | 2019-05-04T11:06:05 | 2015-03-21T07:17:25 | Python | UTF-8 | Python | false | false | 550 | py | from prompto.parser.o.BaseOParserTest import BaseOParserTest
from prompto.runtime.utils.Out import Out
class TestFilter(BaseOParserTest):
def setUp(self):
super(type(self), self).setUp()
Out.init()
def tearDown(self):
Out.restore()
def testFilterFromIterable(self):
... | [
"eric.vergnaud@wanadoo.fr"
] | eric.vergnaud@wanadoo.fr |
8a6911e8f3aa7b721efb786252483969a3699fb6 | 556f1b50acda9365228173309430125ebd8308f7 | /anonymousfunction.py | eff923daa5adc95840800b1b0b2a7b1d98dbc717 | [] | no_license | Bharanidhar-Reddy/temperoray | 65c27a45339e1560e1ceb33b66dafc57498c6285 | 8775f89d3034000adf30cdd14e0aa9cb485b210d | refs/heads/main | 2023-04-08T13:54:27.736412 | 2021-04-12T14:49:08 | 2021-04-12T14:49:08 | 357,202,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | py | # anonymous
# Inline Functions
# lambda Functions
data = (lambda n1, n2: "Hi " + n1 + " " + n2)("Boss", "Bunny")
print(data)
li=[1,2,3]
data2 = lambda *n1 : n1
print(data2(li))
add = lambda a, b: "Sum is {0}".format(a+b)
print(add(5,6))
if 5 > 2: print("Yes")
| [
"BharanidharReddy.Marthala@xs.nestle.com"
] | BharanidharReddy.Marthala@xs.nestle.com |
c25a5a45f864948e400731e17e25a441fd5747c1 | 11f17f0bf564b81ae8befc3d47f03ed77a6136b5 | /genmsg/build/catkin_generated/genmsg-extras.cmake.installspace.context.cmake.py | e9d57443659d4085270be68a2ce0115a20cb6fa9 | [] | no_license | shishenghuang/octomap_cuda | b8f7472b3f0b31ece7cd565646c843a6a7af2e4c | 936908bff027283ace5bac81af57454fd097a3b4 | refs/heads/master | 2021-05-18T12:14:53.768976 | 2020-03-30T08:18:32 | 2020-03-30T08:18:32 | 251,239,808 | 6 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,327 | py | # generated from catkin/cmake/template/cfg-extras.context.py.in
DEVELSPACE = 'FALSE' == 'TRUE'
INSTALLSPACE = 'TRUE' == 'TRUE'
CATKIN_DEVEL_PREFIX = '/home/huan/git/octomap_cuda/genmsg/build/devel'
CATKIN_GLOBAL_BIN_DESTINATION = 'bin'
CATKIN_GLOBAL_ETC_DESTINATION = 'etc'
CATKIN_GLOBAL_INCLUDE_DESTINATION = 'include... | [
"shishenghuang.net@gmail.com"
] | shishenghuang.net@gmail.com |
d0ac59455b0338b38c3c6fb28dd4f59a9259b261 | 6eb35cb8d53ad226de2a6f78e16cb665644fbbdf | /orca/topology/alerts/matcher.py | b842957d8317f0f69e8a4cdeb3fccd3a67d98a4b | [
"Apache-2.0"
] | permissive | openrca/orca | 631fbc55f72d7dd01563ebc784a259bf0fa75d22 | 3b3ddcb2c14cc550c586f64eb6ca01e827fbc451 | refs/heads/master | 2023-05-30T22:38:55.431661 | 2022-09-11T09:33:24 | 2022-09-11T09:33:24 | 218,142,874 | 88 | 18 | Apache-2.0 | 2023-05-01T21:16:56 | 2019-10-28T20:51:10 | Python | UTF-8 | Python | false | false | 1,211 | py | # Copyright 2020 OpenRCA 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 applicable law or agreed to in writi... | [
"zurkowski.bartosz@gmail.com"
] | zurkowski.bartosz@gmail.com |
cbc90977e6ca2f586faaeb2280ba99021af546e6 | 37738f194dbe5e2d8300235c7e8dca753a8e1788 | /app/__init__.py | 67267aa7b42db7055050a74e2ad9e4f22c5b50c1 | [] | no_license | 996473438/mylogintest06 | 797678f0fc3a9a868da20bffa08a91beec5811e0 | 0f4eef704e225e84a91fdecef5809f4dac9f2e35 | refs/heads/master | 2021-06-17T02:58:28.282171 | 2017-05-24T09:42:49 | 2017-05-24T09:42:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 379 | py | from flask import Flask
from config import config
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
def create_app(config_name):
app = Flask(__name__)
app.config.from_object(config[config_name])
config[config_name].init_app(app)
db.init_app(app)
from .main import main as main_blueprint
... | [
"842887233@qq.com"
] | 842887233@qq.com |
35c4bdebc781d3d87cdc25b59b881a5ba5da2bed | a438748ac89d53b19e7f4130529906896f059b25 | /Композиция.py | 8cc2c2abe97d5c1760e95ec575d7544e5ac3e6d1 | [] | no_license | Alexfordrop/Basics | 90ead9294727a823eb044e5f2f69d8f29133d150 | eda400424b2c72bd5e01a6c7cb14ad7ae29477d4 | refs/heads/master | 2023-06-08T16:42:26.704163 | 2021-06-27T20:46:27 | 2021-06-27T20:46:27 | 329,421,907 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 419 | py | class Salary:
def __init__(self, pay):
self.pay = pay
def getTotal(self):
return (self.pay*12)
class Employee:
def __init__(self, pay, bonus):
self.pay = pay
self.bonus = bonus
self.salary = Salary(self.pay)
def annualSalary(self):
return "Total: " + st... | [
"mishechkin.aleksei@mail.ru"
] | mishechkin.aleksei@mail.ru |
8cd19573f4a8e7d1385ed68d3756130132e38628 | fe8bfe081ef00f3cf217d5d44587670a4ed01e22 | /websec/xss.py | f314580c3c5c01cbd903e04bd1bd78050f636a6f | [] | no_license | benediktkr/misc | 93d0b38f3703fa2efa45c9142fffb20e2d5439d5 | dd422362d2c17d77ea366589cde0e339a00412ff | refs/heads/master | 2020-04-01T08:20:38.231118 | 2014-11-12T12:37:04 | 2014-11-12T12:37:04 | 17,826,307 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,672 | py | """An encoding library to prevent against XSS.
Implemented the rules described at OWASP Wiki:
https://www.owasp.org/index.php/XSS_%28Cross_Site_Scripting%29_Prevention_Cheat_Sheet
Not meant for production use.
"""
# ---------
# Rule #0
#
# Use a whitelist approach and neverinsert untrusted data without escapin... | [
"benedikt@audkenni.is"
] | benedikt@audkenni.is |
5e0772427df693e3f2a8120f1d765d29e6ead877 | b2ce9a394c82a891842620f61f0fd1b3dded4458 | /SOFTDEV/data_proj/app.py | 7b2e12124dd2d1936af06eda3b4094251e454d93 | [] | no_license | angela97lin/Senior-Year-Projects | 00fc3ef1eef330b64ebfa42d0b2929c8e956098e | 63ec99bf001704a1649225e9f9aab78e19447104 | refs/heads/master | 2020-07-10T03:59:46.404984 | 2016-02-02T20:55:57 | 2016-02-02T20:55:57 | 26,330,583 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,185 | py | import google, re, datasearch
from flask import Flask, render_template, request, redirect
app = Flask(__name__)
@app.route("/",methods=["GET","POST"])
@app.route("/index",methods=["GET","POST"])
def index():
if request.method=="GET":
return render_template("index.html")
else:
button = request.form['s']
query ... | [
"ange@mit.edu"
] | ange@mit.edu |
55534ee709363b369dcf170504fc395ae6dc4f75 | c4060e70b65a215eaac820e91a4600bf040b7f6f | /Personality Prediction/finetune_models/utils/linguistic_features_utils.py | 03a67b105a52baf5c8e295855e027d485ec61157 | [
"MIT"
] | permissive | Srinivas200599/PrePred | fa291842da518129e564dfbb3ff7d5b0194fb625 | 10733b5871c5b24351d5548c5b65788aa335d4bc | refs/heads/main | 2023-07-07T15:04:05.511539 | 2021-08-11T06:47:09 | 2021-08-11T06:47:09 | 394,885,734 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,145 | py | import numpy as np
import pandas as pd
import re
import preprocessor as p
from scipy.io import arff
def read_and_process(path):
arff = open(path, 'r')
attributes = []
values = []
is_attr = True
arff.readline()
arff.readline()
while is_attr:
line = arff.readline()
if len(line... | [
"addepallisaisrinivas@gmail.com"
] | addepallisaisrinivas@gmail.com |
7909f7285c70e1cd8f35d44e1e0df1567e7c7104 | d4a7ed22a20599c2f12a550b782327eea312cdc1 | /doc/src/tutorial/src-odespy/osc2.py | de868146836989337530b80f18b4bb76a3852882 | [] | no_license | rothnic/odespy | dcfca8593d738604fc7b6b66fbe8083c7358fc5c | dd50508030ab61047ca885bf0e842f1ad4ef38f4 | refs/heads/master | 2021-01-15T10:51:19.854871 | 2015-05-02T03:51:30 | 2015-05-02T03:51:30 | 35,228,290 | 1 | 0 | null | 2015-05-07T15:33:52 | 2015-05-07T15:33:52 | null | UTF-8 | Python | false | false | 1,357 | py | """As osc1.py, but testing several solvers and setting sin(theta) to theta."""
from math import pi, sqrt
class Problem:
def __init__(self, c, Theta):
self.c, self.Theta = float(c), float(Theta)
self.freq = sqrt(c)
self.period = 2*pi/self.freq
def f(self, u, t):
theta, omega =... | [
"hpl@simula.no"
] | hpl@simula.no |
221b1b7d5f845d6d7746c0ed9bb12d2e378effb4 | 14b8cf0b67104b53534678b8c0e9525ace4714ff | /advanced/slots.py | dea855f1e73663fbad4d4b3eedbf4b439dc4301c | [] | no_license | bhfwg/py_learn | bb11898fd81f653643fc61949f43df751d317fcb | eca9da748bada67357961d1581d8ec890a3385f8 | refs/heads/master | 2020-03-27T15:01:25.881792 | 2018-06-05T01:36:26 | 2018-06-05T01:36:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 422 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
class Slot(object):
__slots__ = ('x', 'y')
s = Slot()
# ## AttributeError: 'Slot' object attribute '__slots__' is read-only
# s.__slots__ = ('x', 'y', 'z')
class ListSlot(object):
__slots__ = ['x', 'y']
def __init__(self):
self.x = 1
self... | [
"penomivy@gmail.com"
] | penomivy@gmail.com |
87413cada490a62e13fcdef1d96788fb6dfc038b | 577ef269a3a04d475bb23bd824e717fc3dae8622 | /pyglmnet/externals/sklearn/utils/config.py | 7a6bc701f02f224cc473125fc06b7c430caeb938 | [
"MIT"
] | permissive | glm-tools/pyglmnet | 4b6583cbd28617b8ee58a8f59b1bc3c2f453b0e5 | 294fc6392e3228118e2a7932494d4665cb0c7c22 | refs/heads/master | 2022-02-28T09:08:18.321427 | 2022-02-08T15:54:13 | 2022-02-08T19:00:22 | 55,302,570 | 240 | 72 | MIT | 2023-08-17T17:49:08 | 2016-04-02T15:46:24 | Python | UTF-8 | Python | false | false | 685 | py | """Global configuration state and functions for management
"""
import os
_global_config = {
'assume_finite': bool(os.environ.get('SKLEARN_ASSUME_FINITE', False)),
'working_memory': int(os.environ.get('SKLEARN_WORKING_MEMORY', 1024)),
'print_changed_only': False,
}
def get_config():
"""Retrieve curren... | [
"jasmainak@users.noreply.github.com"
] | jasmainak@users.noreply.github.com |
12a576e8a31e61fea7f5a3f9fe96915166a395ed | 319b151b0d12e2d78db7ec16d4f9787921a82e09 | /Application_Main/Application_Main/settings.py | 8e0e1edc0d5e47d780e8b2f5be7917f7b4b063b2 | [] | no_license | AnkitV-Git/Django-Hospital-Management-System | ea03ec25188f9a9fdfa586357ef512836cf04e17 | 3d5f66a7450c46924524c805daecfe5f4b5bf5ed | refs/heads/master | 2023-03-15T20:37:08.452358 | 2020-09-23T05:09:33 | 2020-09-23T05:09:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,519 | py | """
Django settings for Application_Main project.
Generated by 'django-admin startproject' using Django 3.0.6.
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/
"""
imp... | [
"devankitgupta01@gmail.com"
] | devankitgupta01@gmail.com |
5aef16b6aeb2d157280392287cf28cad33e25528 | 9ac205e4d8f111608d1abbcfa78b5b6598c17955 | /33.搜索旋转排序数组.py | d447ed77448cc4578fc79c195a6ccb85bf544fb8 | [] | no_license | oceanbei333/leetcode | 41ff0666da41750f7d3c82db53ec6f7f27125d3e | 5d29bcf7ea1a9e489a92bc36d2158456de25829e | refs/heads/main | 2023-03-16T18:17:25.232522 | 2021-02-28T04:56:40 | 2021-02-28T04:56:40 | 319,561,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,169 | py | #
# @lc app=leetcode.cn id=33 lang=python3
#
# [33] 搜索旋转排序数组
#
# @lc code=start
from typing import List
class Solution:
def search(self, nums: List[int], target: int) -> int:
return nums.index(target) if target in nums else -1
def search(self, nums: List[int], target: int) -> int:
left, rig... | [
"hyram@wudun.net"
] | hyram@wudun.net |
b5b2640ca99e082cad391347ae259fbcde256603 | a08f02c9fef7473c4c1a2f72de0edf32471f26f2 | /tango_with_django/rango/migrations/0002_auto_20160326_1944.py | 860c0520b5cb95729cbf4be5f59be842ea4dc2ba | [] | no_license | yOPERO/demo | 467310d4075cdfe0568948f791c2aa29bb20951a | 00182f538ec351b02106470e176f6dd8849f18e6 | refs/heads/master | 2016-08-08T20:12:40.915450 | 2016-03-26T20:21:59 | 2016-03-26T20:21:59 | 54,794,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 585 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2016-03-26 19:44
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rango', '0001_initial'),
]
operations = [
migrations.AddField(
m... | [
"yopero666@gmail.com"
] | yopero666@gmail.com |
b1863665d5df8299f85d024f894cc4a58c771faa | decb32e8dacd8f8b3f44ed80b88b41c19d8f49f4 | /utils.py | 0e92a5b321ec4bec53ed434c6cc830d33e5fa414 | [] | no_license | YouvenZ/PET-anomalies-detection-in-bayesian-framework | 1e2eb1b857e956c33e833f143c34c3cb7f4f318e | 07ef95fbe4d4a55428dac7b93773b985e391e714 | refs/heads/master | 2022-12-19T08:22:45.590791 | 2020-09-28T13:33:03 | 2020-09-28T13:33:03 | 268,460,775 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,379 | py | import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import matplotlib.pyplot as plt
def truncated_normal_(tensor, mean=0, std=1):
size = tensor.shape
tmp = tensor.new_empty(size + (4,)).normal_()
valid = (tmp < 2) & (tmp > -2)
ind = valid.max(-1, keepd... | [
"rachid.zeghlache@etu.u-pec.fr"
] | rachid.zeghlache@etu.u-pec.fr |
61334443dff95bdd7751b514c74720f8be96eb4f | 1ab788ce84e446a98b085b62e1e17f8a2afa148d | /문제풀기/2112. [모의 SW 역량테스트] 보호 필름.py | f68fa9c9fa62e32bd2c49165bc5c321e56ed8bda | [] | no_license | kimjy392/exception | 884dd26e1ec6f1c0357c1fe000742b1562adbeaa | b37e9c2f70adae6b93b94b86f96512469f431739 | refs/heads/master | 2022-12-11T20:33:25.632561 | 2020-08-29T13:26:08 | 2020-08-29T13:26:08 | 195,989,162 | 1 | 0 | null | 2022-12-06T23:20:02 | 2019-07-09T10:43:35 | Python | UTF-8 | Python | false | false | 3,783 | py | # def count():
# global isuse
# isuse = [False] * W
# for j in range(W):
# i, start, cnt = 0, 0, 0
# while i < D:
# if tboard[start][j] == tboard[i][j]:
# cnt += 1
# else:
# cnt = 0
# start = i
# continue
... | [
"kimjy392@gmail.com"
] | kimjy392@gmail.com |
26e5e4e336778eb55b1442f90880684ad2b58a5f | 833db6ec88734aa3b694730f38ad001e6b81d8c5 | /jobs/migrations/0003_auto_20191130_1515.py | c0589e5fc3c5e1a21bf93ee8b12ae5e56a1f7104 | [] | no_license | BhanujaAggarwal/MahilaHaat | 2f48baddb9515e88e45f9d7c66e5fce12bb3e552 | 2d8d76d2b52c4326b517dee571f4808616d7fdb4 | refs/heads/master | 2022-12-09T08:32:19.967438 | 2020-06-18T15:15:26 | 2020-06-18T15:15:26 | 232,671,348 | 1 | 1 | null | 2022-12-08T05:25:29 | 2020-01-08T22:19:44 | Python | UTF-8 | Python | false | false | 811 | py | # Generated by Django 2.0 on 2019-11-30 15:15
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('jobs', '0002_auto_20191127_1736'),
]
operations = [
migrations.AddField(
model_name='joblisting',
name='gender',
... | [
"aggarwal.bhanuja@gmail.com"
] | aggarwal.bhanuja@gmail.com |
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