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# -*- coding:utf-8 -*-
__Author__ = "KrianJ wj_19"
__Time__ = "2020/7/28 19:19"
__doc__ = """ 数据清洗用到的配置属性"""
MONGO_URI = 'localhost'
MONGO_PORT = 27017
MONGO_DB = ['china_tech', 'china_digi']
|
# coding: utf-8
from django.utils.translation import ugettext_lazy as _
from django.db import models
__all__ = ('Log', 'LOG_EXCEPTION','LOG_WARNING','LOG_NOTICE','LOG_STRING')
import datetime
LOG_EXCEPTION = 1
LOG_WARNING = 2
LOG_NOTICE = 3
LOG_STRING = 4
LOG_TYPE = (
(LOG_EXCEPTION, ... |
import sys
from .io import read_active_sites, write_clustering, write_mult_clusterings
from .cluster import cluster_by_partitioning, cluster_hierarchically, create_similarity_matrix, \
convert_indices_to_active_sites
from .compare_clusters import sum_of_distances, rand_index, benchmark_clusters, benchmark_rand,... |
{
"targets": [
{
"target_name": "structure",
"sources": [ "src/structure.cc" ]
}
]
} |
import json
import logging
import urllib
from dojo.models import Finding
logger = logging.getLogger(__name__)
class SafetyParser(object):
def __init__(self, json_output, test):
# Grab Safety DB for CVE lookup
url = "https://raw.githubusercontent.com/pyupio/safety-db/master/data/insecure_full.jso... |
import textwrap
from xmldoc.renderer import Renderer
class MarkdownRenderer(Renderer):
width = 80
def wrap(self, text):
return textwrap.fill(text, self.width)
def header(self, element):
level = int(element.tag[1]) + 1
title = self.inline(element)
return self.wrap(("#" *... |
import pandas as pd
import numpy as np
import seaborn as sn
import matplotlib.pyplot as plt
import time
dataset = pd.read_csv('new_appdata10.csv')
## Data Preprocessing
response = dataset["enrolled"]
dataset = dataset.drop(columns = 'enrolled')
from sklearn.model_selection import train_test_split
X_tr... |
from lxml import etree
import requests
import re
url = "http://www.dxy.cn/bbs/thread/626626#626626"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.92 Safari/537.36'
}
#获取url的html
res = requests.get(url,headers)
#用lxml解... |
#!/usr/bin/env python3
import sys
import os
import json
import sqlite3
import csvloader
import starlight
import models
from collections import namedtuple, defaultdict
import locale
locale.setlocale(locale.LC_ALL, "en_US.UTF-8")
QUERY_GET_EVENT_STUBS = "SELECT id, name, type, event_start, event_end FROM event_da... |
'''文件操作
r读取操作，文件不存在抛异常
w写操作，文件不存在创建，文件存在就覆盖
a写操作，文件不存在创建，文件内容存在就追加
rb以二进制方式打开文件，即序列化
wb
ab
r+读写操作，写与读不分先后，即随时都可进行读与写，写是追加
w+读写操作，文件不存在创建，存在覆盖，先写后读。保证文件有内容通过移动光标来读自己想要的部分。
a+读写操作，文件不存在创建，存在就追加，任意时刻读写，若刚用‘a+’打开一个文件，则不能立即读，因为此时光标已经是文件末尾，除非你把光标移动到初始位置或任意非末尾的位置。
文件的定位读写
'''
with open("C://software//readme.txt","a+",encoding... |
#!/usr/bin/env python
import sys
import argparse
import os.path
import os
import numpy as np
import libtiff as lt
from libtiff import TIFF
from glob import glob
from cvtools import readFlo
import cv2
import matplotlib.pyplot as plt
import scipy
import pylab
import scipy.cluster.hierarchy as sch
def main():... |
__author__ = "Vini Salazar"
__license__ = "MIT"
__maintainer__ = "Vini Salazar"
__url__ = "https://github.com/vinisalazar/bioprov"
__version__ = "0.1.24"
__doc__ = """
Module for holding preset instances of the Program class.
"""
from os import path
from pathlib import Path
from bioprov import File, config
from biop... |
import redis
import time
re = redis.Redis(host='localhost', port=6379,db=8, password=12345)
#re.set('key_name','value_test')
while True:
data = re.rpop("parkmsg")
print(data)
time.sleep(0.5)
|
import os
import numpy as np
import pandas as pd
import warnings
warnings.simplefilter(action='ignore', category=Warning)
import matplotlib.pyplot as plt
import seaborn as sns
def count_sensitive_words(df_, word_list_, str_col='Short_Msg', companies_neg_pos=None):
'''
Count number of sensitive words from `word... |
#when other servers are down, try&except
#when a client send the same message to two dif servers at the same time
import asyncio
import logging
import sys
import urllib.parse
import time
import json
from datetime import datetime
SERVER_NAME_LIST = {'Alford','Ball','Hamilton','Holiday','Welsh'}
SERVER_ADDRESS_LIST = {... |
# Copyright (C) 2016 Calvin He
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the ... |
import requests
from requests.models import HTTPError
from systemFunctions import speak, draw_text
def weather_data(query):
res=requests.get('http://api.openweathermap.org/data/2.5/weather?'+query+'&APPID=8de0c1d186a15c6c44a58c73ca31e976&units=metric');
# Check if city exists
if (res.json()['cod'] == '404'... |
import pytest
from openapi_core.security.providers import HttpProvider
from openapi_core.spec.paths import SpecPath
from openapi_core.testing import MockRequest
class TestHttpProvider(object):
@pytest.fixture
def spec(self):
return {
'type': 'http',
'scheme': 'bearer',
... |
import networkx as nx
import numpy as np
import dwave_qbsolv as QBSolv
import time
import statistics
from itertools import combinations
from dwave.system.samplers import DWaveSampler
from dwave.system.composites import EmbeddingComposite
from matplotlib import pyplot as plt
import pandas as pd
def I(i, j,... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import socket
import struct
import sys
import time
def p16(addr, sign="unsigned"):
fmt = "<H"
if sign == "signed":
fmt = "<h"
return struct.pack(fmt, addr)
def p32(addr, sign="unsigned"):
fmt = "<I"
if sign == "signed":
fmt = "<i"
... |
from visual import *
from particula import *
def generaColumna(posInicial, masa, nParticulasX, nParticulasY, nParticulasZ, densidad, separacion, vInicial, radio, color):
listaParticulas= []
#Calculamos la nueva posicion de la particula separada
for k in range(nParticulasZ):
#print k
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import os
import numpy as np
import torch
from PIL import Image
from skimage.segmentation import mark_boundaries
from skimage.color import rgb2gray
from ex_methods.lime import lime_image
from ex_m... |
# -*- coding: utf-8 -*-
"""
brickv (Brick Viewer)
Copyright (C) 2012, 2014 Roland Dudko <roland.dudko@gmail.com>
Copyright (C) 2012, 2014 Marvin Lutz <marvin.lutz.mail@gmail.com>
main.py: Main standalone data logger
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU Gen... |
from __future__ import print_function
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import numpy as np
import os
import glob
import skimage.io as io
import skimage.transform as trans
import tensorflow as tf
from skimage import img_as_ubyte
import matplotlib.pyplot as plt
import tensorflow.keras as... |
# -*- coding: utf-8 -*-
import numpy as np
from sklearn import cluster
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import pyqtSignal, pyqtSlot
try:
from .ui_group_tracker_widget import Ui_group_tracker_widget
except ImportError:
from ui_group_tracker_widget import Ui_group_tracker_widget
try:... |
###################################################
import tensorflow as tf
a = [[1,2,3],[4,5,6]]
b = [[1,0,3],[1,5,1]]
condition1 = [[True,False,False],
[False,True,True]]
condition2 = [[True,False,False],
[False,True,False]]
with tf.Session() as sess:
print(sess.run(tf.where(condition1... |
import math
import cv2
import numpy as np
def max_dist(x_k, y_k, x, y):
return math.sqrt((x - x_k) ** 2 + (y - y_k) ** 2)
def seek_chair_contours(rect_dict, x, y, w, h):
x_max, y_max = 0, 0
max_len = 0
for x_k, y_k in rect_dict.keys():
curr_max = max_dist(x_k, y_k, x + w / 2, y + h / 2)
... |
#!/usr/bin/env python
import numpy as np
import sys
from scipy import stats
# I used the lee.cor and similarities0-1.txt files from https://github.com/piskvorky/gensim/tree/develop/gensim/test/test_data
sim_matrix_original = np.loadtxt("similarities0-1.txt")
gesa_matrix = np.loadtxt(str(sys.argv[1]))
sim_matrix_ori... |
#!/usr/bin/env python
'''
Author : Yi-Ying Lin
'''
from __future__ import print_function
import rospy
import numpy as np
import math
from math import pi
import time
from geometry_msgs.msg import Twist, Point, Pose
from sensor_msgs.msg import LaserScan
from sensor_msgs.msg import Imu
from nav_msgs.msg import Odometry
... |
# -*- coding: utf-8 -*-
import __init__
from abc import ABCMeta
from abc import abstractmethod
import threading
import time
from Configure.GetConfigure import GetConfigure
class Service(object):
__metaclass__ = ABCMeta
def __init__(self):
self.configures = GetConfigure()
self.load_config()
... |
import cv2
import numpy as np
from PIL import Image
import math
drawing=True # true if mouse is pressed
def input_file(path,pix = 0.388):
PIXEL_SIZE = pix
def draw_circle(event,former_x,former_y,flags,param):
global current_former_x,current_former_y,drawing,distance
if event == cv2.EVENT_LBUTTONDBLCLK:
cv... |
import os
from datetime import datetime
from tqdm.autonotebook import tqdm
import shutil
from functools import partial
import numpy as np
import pickle
import tensorflow as tf
import tensorflow_datasets as tfds
import tensorflow.keras.backend as K
from tensorflow.python.keras import metrics
from tensorflow import rand... |
def read():
with open('A-large.in') as f:
return f.readlines()
def write(lines):
with open('result.txt', 'w') as f:
i = 1
for line in lines:
f.write('Case #' + str(i) + ': ' + str(line) + '\n')
i += 1
def solve(data):
res = []
for num in data:
s ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# "THE WISKEY-WARE LICENSE":
# <utn_kdd@googlegroups.com> wrote this file. As long as you retain this notice
# you can do whatever you want with this stuff. If we meet some day, and you
# think this stuff is worth it, you can buy us a WISKEY in return.
#==================... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from parts.speaker import Speaker
SPEAKER_PIN = 5
# ドレミのメロディ
melody = ((262, 1),(294, 1),(330, 1),)
# メロディーの値を表示
for value in melody:
pitch_name, length = value
print('{0}, {1}'.format(pitch_name, length))
# メロディーの再生
speaker = Speaker(SPEAKER_PIN)
speaker.play(m... |
import socket
import time
# class for client obj put exception
class ClientError(socket.error):
pass
class Client:
def __init__(self, addr, port, timeout=None):
self.addr = addr
self.port = port
try:
self.sock = socket.create_connection((self.addr, self.port), timeout)
... |
from path_class import *
from gibbs_MJPs import sampleUI
from gibbs_MJPs import get_likelihood
from gibbs_MJPs import FFBS
from math import log
from numpy import random
from scipy.stats import gamma
from math import pi
from math import sqrt
from math import exp
from model_parameters import *
from gibbs_MJPs import FF
f... |
from dolfin import *
import sys
import numpy as np
sys.path.append('../')
from navier_stokes import *
if has_linear_algebra_backend("Epetra"):
parameters["linear_algebra_backend"] = "Epetra"
# Sub domain for Dirichlet boundary condition
#class DirichletBoundary(SubDomain):
# def inside(self, x, on_boundary):
# ... |
# example showing how time series is applied
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import datetime
from statsmodels.tsa.seasonal import seasonal_decompose
from pandas import Series,DataFrame,DatetimeIndex
from statsmodels.tsa.arima_model import ARIMA
from pandas.tools.plotting import a... |
import numpy
import cv2
import matplotlib.pyplot as plt
def getPixelValue(padded_img, filter, i, j):
f_h, f_w = filter.shape
summed = 0
for k in range(f_h):
n_j = j
for l in range(f_w):
summed = summed + (filter[k][l] * padded_img[i][n_j])
n_j = n_j + 1
i = i + 1
return summed
def convolution(image, ... |
from gevent import os, subprocess
import pytest
from setuptools import glob
from volttron.platform.dbutils.sqlitefuncts import SqlLiteFuncts
TOPICS_TABLE = "topics"
DATA_TABLE = "data"
META_TABLE = "meta"
METAMETA_TABLE = "metameta"
AGG_TOPICS_TABLE = "aggregate_topics"
AGG_META_TABLE = "aggregate_meta"
TABLE_PREFI... |
from django.core.management.base import BaseCommand
from apps.utils.sprinklr import SprinklrService
from apps.web.models import Recipe
class Command(BaseCommand):
help = 'Calls the sprinklr service'
def add_arguments(self, parser):
parser.add_argument(
'--recipe_ratings',
acti... |
from __future__ import annotations
import pytest
from hooks.validate_django_model_field_names import boolean_validator
@pytest.mark.parametrize(
('field_name', 'expected_is_valid'), [
('is_accepted', True),
('was_migrated_from_specialties', True),
('has_public_link_access', True),
... |
from nose.tools import *
from exercises import ex13
def test_max_in_list():
'''
Confirm we are finding the largest number
'''
test_max_in_list = ex13.max_in_list([1, 2, 3, 4, 2, 6, 2])
assert_equal(test_max_in_list, 6)
|
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import os
from torchvision import datasets, transforms
from torchvision.utils import save_image
from models import Gnet, Dnet, Qnet, FrontEnd, weights_init
from myUtils import save_checkpoint, load_checkpoint
class args:
seed = 0... |
"""Module that contains BaseModel abstract class"""
from abc import ABCMeta, abstractmethod
import numpy as np
class BaseModel(object):
"""Abstract class that defines common methods for all models"""
__metaclass__ = ABCMeta
def __init__(self, configs, score_method, predict_as_probability):
self.con... |
#!/usr/bin/env python3
__all__ = ["Expense", "BaseExpencesManager", "ExpencesManager"]
from collections import defaultdict, namedtuple
from operator import itemgetter
Expense = namedtuple("Expense", ("category", "amount"))
class BaseExpencesManager:
expenses = []
def add(self, expense):
self.expen... |
# metros quadrados para acres
m = float(input('Digite o valor em metros quadrados: '))
a = m * 0.000247
print(f'O valor em acres é {a}.')
|
import sys
sys.setrecursionlimit(1 << 20)
INF = float('inf')
def read_int_list():
return list(map(int, input().split()))
def read_ints():
return map(int, input().split())
from collections import deque
def mainQ():
S = input()
q = deque([S])
cands = ['dream', 'dreamer', 'erase', 'eraser']
... |
import numpy as np
from gsm import GameOver, GamePhase, GameActions, GameObject
from gsm import tset, tdict, tlist
from gsm import SwitchPhase, PhaseComplete
from gsm.common import TurnPhase
from ..ops import get_next_market
class MarketPhase(TurnPhase):
def execute(self, C, player=None, action=None):
if a... |
a = 4
b = 2
c = 1
d = 4
e = 5
f = 6
Comp_var = {a,b,c,d,e,f} # Множество не содержит повторяющиеся элементы
print(Comp_var)
print(len(Comp_var))
if ( len(Comp_var) == 6 ):
print("Все разные")
else:
print("Есть одинаковые")
|
import tensorflow as tf
import utili.dataset_factory as datasets
from modules import resnet_v1
import utili.config as config
def cls_score_layer(input):
score = tf.keras.layers.Conv2D(18,(1,1),activation=tf.nn.softmax,name="rpn_cls_score")(input)
score = tf.reshape(score, [-1, 2]) # -1 means flatten to 1-D
... |
import plotly.express as px
import pandas as pd
import csv
df = pd.read_csv('file1.csv')
fig = px.scatter(df,x='Temperature',y='Ice-cream Sales( ₹ )')
fig.show() |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-04-12 20:59
from __future__ import unicode_literals
import django.contrib.postgres.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('courses', '0007_profile_course_combo'),
]
op... |
#!/usr/bin/env python3
import aerospike
def main():
if '__version__' in dir(aerospike):
print(("Python client version is %s" % aerospike.__version__))
else:
print("don't know what Python client version is")
if 'MAP_RETURN_UNORDERED_MAP' in dir(aerospike):
print(("Python client su... |
# Generated by Django 3.1.1 on 2020-10-01 16:04
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('app', '0002_prices_value'),
]
operations = [
migrations.CreateModel(
name='clients',
... |
# Write a python function to generate
# and return the list of all possible sentences created from the given lists of Subject, Verb and Object.
# Note: The sentence should contain only one subject, verb and object each.
# Sample Input Expected Output
# subjects=["I", "You"]
# verbs=["Play", "Love"]
# objects=["Hockey... |
#!/usr/bin/env python3.5
# -*- coding: utf-8 -*-
import sys
from PyQt5.QtCore import QUrl
from PyQt5.QtWidgets import QApplication
from PyQt5.QtQml import QQmlApplicationEngine
def main():
app = QApplication(sys.argv)
engine = QQmlApplicationEngine()
engine.setOfflineStoragePath("./Databases/")
eng... |
from flask import render_template, redirect, url_for, abort, flash, request, \
current_app, make_response, abort
from flask.ext.login import login_required, current_user
from flask.ext.sqlalchemy import get_debug_queries
from app.decorators import admin_required
from . import main
from .forms import EditProfileFor... |
from Models import Encoder
from data_loader import cropus
import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
import sys
import torch.optim as optim
import os
from visdom import Visdom
def get_dev_loss(model,mycropus,dev_data,criterion):
#计算开发测试节集损失
dev_loss_list=[]
d... |
from django.contrib import admin
from .models import suggestion
# Register your models here.
@admin.register(suggestion)
class suggestAdmin(admin.ModelAdmin):
list_display = ['name1','others']
|
INF = 1000
def getDigits(n):
return set(map(int, list(str(n))))
T = input()
for t in range(1, T+1):
N = input()
if N == 0:
res = "INSOMNIA"
else:
digits = set()
for i in range(1, INF):
digits.update(getDigits(N*i))
if len(digits) == 10:
res = N*i
break
print "Case #%d: %s" % (t, res)
|
import os
import tensorflow as tf
import numpy as np
from tensorflow.contrib.tensorboard.plugins import projector
import gensim
LOGDIR = 'log'
N = 3000
D = 300
# load model
word2vec = gensim.models.KeyedVectors.load_word2vec_format('filtered.bin', binary=True)
vocab = list(word2vec.vocab.keys())
# create a list of ve... |
import array
import matplotlib.pyplot as plt
import skimage.transform as transform
import numpy as np
import scipy.integrate as spi
import scipy.optimize as sopt
import warnings
import scipy.interpolate as sinterp
def get_vanhateren(filename, src_dir):
with open(filename, 'rb') as handle:
s = handle.read()... |
import cv2
camera = cv2.VideoCapture(0)
prev_frame = None
while camera.isOpened():
success, frame = camera.read()
if not success:
break
frame = cv2.medianBlur(frame, 5)
if prev_frame is not None:
mask = cv2.absdiff(frame, prev_frame)
_, mask = cv2.threshold(mask, 50, 255, cv... |
# Copyright (c) 2017-present, yszhu.
#
# 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 w... |
import random
import os
if __name__ == "__main__":
# os.rename('./data/plaws.csv', './data/plaws_full.csv')
with open("./data/plaws.csv", "rb") as source:
lines = [line for line in source]
random_choice = random.sample(lines, 200)
source.close()
with open("./data/plaws.csv", "wb")... |
#!/usr/bin/env python3
from caproto import ChannelType
from caproto.server import PVGroup, SubGroup, ioc_arg_parser, pvproperty, run
class EpicsScalerGroup(PVGroup):
count = pvproperty(name=".CNT", dtype=int)
count_mode = pvproperty(
value="OneShot",
name=".CONT",
dtype=ChannelType.ENU... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""Friendly Python SSH2 interface."""
import os
import sys
import tempfile
import paramiko
import traceback
class Connection(object):
"""Connects and logs into the specified hostname.
Arguments that are not given are guessed from the environment."""
def __init__... |
class Stack:
def __init__(self, list=None):
if list == None:
self.items = []
self.len = 0
else:
self.items = list
self.len = len(list)
def push(self, item):
self.items.append(item)
self.len += 1
def pop(self):
self... |
""" 模型
Revision ID: e3729b5abc40
Revises:
Create Date: 2018-10-27 13:13:38.276381
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e3729b5abc40'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by A... |
#!/usr/bin/env python
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import sys
from typing import Any, Dict, cast
import setuptools
def get_version() -> str:
onefuzz: Dict[str, Any] = {}
with open("onefuzz/__version__.py") as fh:
# Exec our own __version__.py to pull out ... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""pybej.py
Author: William Yao <LNYK@ME.COM> at <LNYK2.COM>
Date : 2015.05.27
A very simple script to catalyse your headsets.
USE IT UNDER YOUR OWN RISK!
"""
class Locale():
def __init__(self, lang='en'):
self.trans = None
zh_CN = {'i.1': u'欢迎使用 p... |
import re
# print(re.findall(r'paper/\d+/reference','paper/1559136758/reference'))
# temp = ' CITATIONS* (1,318)'
#
# '''
# CITATIONS* (567)
# CITATIONS* (1,318)
# CITATIONS* (460)
# CITATIONS* (481)
# CITATIONS* (603)
# CITATIONS* (136)
# '''
# Citation_... |
from django import forms
class CtsQueryForm(forms.Form):
ctsproductnum = forms.CharField(required=False,max_length=20,widget=forms.TextInput(attrs={'placeholder':'请输入商品编码','class': 'form-control'}))
ctssellcountmin = forms.CharField(required=False,max_length=20,widget=forms.TextInput(attrs={'placeholder':'请输入商... |
from rest_framework.filters import OrderingFilter
from rest_framework_filters.backends import RestFrameworkFilterBackend, ComplexFilterBackend
from rest_framework_filters_nkg.filterset import FilterSetNkg
from rest_framework_filters_nkg.utils import *
parent_fields = ['ForeignField', 'PrimaryKeyRelatedField']
number... |
import math
import numpy as np
from algorithms import center_of_mass
def test_center_of_mass_impulse():
image = np.zeros(10)
image[4] = 1.0
assert center_of_mass(image) == 4.0
def test_center_of_mass_rect():
image = np.zeros(10)
image[4] = 1.0
image[5] = 1.0
assert math.isclose(center_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 27 21:15:04 2018
@author: Iswariya Manivannan
"""
import sys
import os
from collections import deque
from helper import maze_map_to_tree, write_to_file, assign_character_for_nodes
from helper import start_pose, print_maze, clear_screen
import time
... |
import pymongo
from pymongo import Connection
connection = Connection()
# Удалить БД, если она существует
connection.drop_database("server_database")
# Выбираем БД
db = connection["server_database"]
# Удалить коллекцию
db.drop_collection('users')
# Добавление документов в колекцию 'users'
def insert... |
from django.conf import settings
from rest_framework import serializers
from openbook.settings import COLOR_ATTR_MAX_LENGTH
from openbook_categories.models import Category
from openbook_categories.validators import category_name_exists
from openbook_common.serializers import CommonCommunityMembershipSerializer
from op... |
import socket
def get_machine_info():
host_name = socket.gethostname()
ip_address = socket.gethostbyname(host_name)
print("host name is: \t %s " % host_name)
print("This machines IP address is: \t %s" % ip_address)
get_machine_info()
|
import json, os, re, dateutil.parser
from nltk.tokenize import word_tokenize
import string
from nltk.corpus import stopwords
import nltk
import markdown2
from bs4 import BeautifulSoup
nltk.download('punkt')
nltk.download('stopwords')
repos = ['react', 'angular', 'vue', 'backbone', 'ember.js', 'jquery']
fields = ['tit... |
# uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.8.5 (default, Aug 12 2020, 00:00:00)
# [GCC 10.2.1 20200723 (Red Hat 10.2.1-1)]
# Embedded file name: C:\ProgramData\Ableton\Live 9.7 Suite\Resources\MIDI Remote Scripts\_NKFW2\ModifierMixin.py
# Compiled at: 2017-03-07 13:28:52
from ... |
# This sample tests various type checking operations relating to
# generator functions that use the "yield from" clause.
from typing import Iterator
class ClassA:
pass
class ClassB:
def shouldContinue(self):
return True
class ClassC:
pass
def generator1() -> Iterator[ClassA]:
yield from... |
from flask import Flask
app = Flask(__name__)
@app.route("/")
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# For this assignment, we need to load in the following modules
import requests
import StringIO
import zipfile
import scipy.stats
def getZIP(zipFileName):
r = requests.get(zipFile... |
#============================================================================
#Name : xmlhelper.py
#Part of : Helium
#Copyright (c) 2009 Nokia Corporation and/or its subsidiary(-ies).
#All rights reserved.
#This component and the accompanying materials are made available
#under the terms of the Li... |
'''
<21.02.22>
made by KH
problem number: 2577
source: https://www.acmicpc.net/problem/2577
'''
inputNumber1 = int(input())
inputNumber2 = int(input())
inputNumber3 = int(input())
productNumber = inputNumber1*inputNumber2*inputNumber3
productNumberStr = str(productNumber)
for i in range(10):
print(productNumbe... |
import os
import random
import numpy as np
import scipy.misc as m
from PIL import Image
from torch.utils import data
from torchvision import transforms
from dataloaders import custom_transforms as tr
from dataloaders.SampleLoader import SampleLoader
class KittiSegmentation(data.Dataset):
def __init__(self, cfg, s... |
from server.util import Plugin
# Logs the player into the world messaging system, then allows other users to Private Message the logged in user
def pmaccess(player):
player.getPA().logIntoPM() |
#paper
#Reasoning about Entailment with Neural Attention
#https://arxiv.org/pdf/1509.06664v1.pdf
import tensorflow as tf
import numpy as np
batch_size = 3
seq_len = 5
dim = 2
# [batch_size x seq_len x dim] -- hidden states
Y = tf.constant(np.random.randn(batch_size, seq_len, dim), tf.float32)
# [batch_size x dim] ... |
from collections import defaultdict
from functools import reduce
from typing import DefaultDict, Dict, List, Optional, Tuple, TypedDict, cast
from sqlalchemy import and_
from sqlalchemy.orm import Session
from src.challenges.challenge_event_bus import ChallengeEventBus
from src.models.rewards.challenge import Challen... |
from django.contrib import admin
from .models import Example
from django_gaode_maps.widgets import LocationWidget
from django_gaode_maps.fields import LocationField
@admin.register(Example)
class ExampleAdmin(admin.ModelAdmin):
fields = ["address", "city", "postal_code", "location"]
formfield_overrides = {
... |
def print_max(x,y):
'''Prints the max of 2 numbers.
The two values must be integers.'''
#convert to int if possible
x = int(x)
y = int(y)
if x > y:
print x, ' is maximum'
else:
print y, ' is maximum'
print_max(3,5)
print print_max.__doc__
#docstrings: a multi-line string where the first line starts... |
m,p=map(int,input().split())
l2=list(map(int,input().strip().split()))[:m]
for i in range(0,m):
if(l2[i]==p):
print("yes")
break
else:
print("no")
|
# coding: utf-8
from django.shortcuts import get_object_or_404
from parlaseje.models import *
from sklearn.decomposition import PCA
from numpy import argpartition
import pandas as pd
import requests
import json
from collections import Counter
from parlaseje.models import Vote_analysis
from parlalize.settings import ... |
#Q1 To find area of a circle
def SetArea ():
radius = int(input('enter the radius'))
myarea =3.14*radius** 2
return myarea
print(SetArea())
#Q2 Finding perfect number
def perfect(x):
list=[]
for i in range(1,x ):#finding factors except number itself
if x % i == 0:
list.a... |
# encoding: UTF-8
from socketIO_client import SocketIO
from EventConstant import *
from Config import *
from RtConstant import *
from RtObject import *
import requests
import json
basetPath = "http://" + host + ":" + str(httpPort) + "/api"
class StrategyTemplate:
def __init__(self):
self.tickIDSet = set... |
# stdlib
import copy
# 3p
from mock import Mock
from nose.plugins.attrib import attr
# project
from tests.checks.common import AgentCheckTest
INSTANCE = {
'class': 'Win32_PerfFormattedData_PerfProc_Process',
'metrics': [
['ThreadCount', 'proc.threads.count', 'gauge'],
['IOReadBytesPerSec', 'p... |
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class User(db.Model):
__tablename__ = 'user'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String, nullable=False)
email = db.Column(db.String, nullable=False)
password = db.Column(db.String, nullable=False)
def __in... |
# importing flask modules
from flask import Flask, render_template, request, redirect, url_for, session, flash
from flask_mysqldb import MySQL
import MySQLdb.cursors
import re
import csv
import mlmodel
import Fake_review_5_Algos
import pandas as pd
import io
import random
from flask import Response
from matplotlib.back... |
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