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# 모델 : RandomForestClassifier
import numpy as np
from time import time
from sklearn.datasets import load_diabetes
from sklearn.model_selection import train_test_split, KFold, cross_val_score, GridSearchCV
from sklearn.utils import all_estimators
from sklearn.metrics import accuracy_score, r2_score
from sklearn.ensembl... |
# -*- coding: utf-8 -*-
from rest_framework import permissions
class IsAccountOwner(permissions.BasePermission):
"""
Este es un permiso bastante básico. Si hay un usuario asociado con la petición actual,
comprobamos si el usuario es el mismo objeto que account. Si no hay ningún usuario asociado
a esta solici... |
import os
class FileManager():
""" A specific object used to interact with file management"""
def __init(self):
self.__current_directory = os.curdir
# get a list of all pcap files in the current directory
def get_pcap_files(self):
fileList = list()
fileList.extend([f ... |
'''
Input: a List of integers
Returns: a List of integers
'''
# def product_of_all_other_numbers(arr):
# # Your code here
# new_calc_array = []
# temp_array = []
# total = 0
# current = 0
# current_next = 1
# # find the product of all of the other numbers of an array input
# # iterate through t... |
# 럭키 스트레이트
# 점수를 반으로 나누어 왼쪽 합과 오른쪽 합이 같은지 체크하는 문제
# 1. 반으로 나눈다 -> 길이를 반으로 나눈다는 접근 -> len()//2 - 1 이 기준
# 2. 슬라이싱 해서 -> 좌우합을 구해주면 되겠다라는 아이디어
# 1차시도 runtime error
# len()함수안에 변수를 넣지 않은것
# int형으로 변환 x
# right_N에서 슬라이싱할때 끝부분을 -1한 것
N = list(map(int, input())) # 123456 문자열로 저장
left_N = N[0:len(N)//2]
right_N = N[len(N)/... |
from tkMessageBox import *
if showerror('Error', 'This is an error!') == 'OK':
sys.exit(1) |
from os import getcwd
from http.server import HTTPServer, BaseHTTPRequestHandler
from logging import getLogger
import urllib.request
import subprocess
class AgentServer(BaseHTTPRequestHandler):
logger = getLogger(__name__)
'''
member of BaseHTTPRequestHandler class
client_address = client's addr... |
import hashlib
import hmac
import json
from io import BytesIO
from pathlib import Path
from time import time
import boto3
import pytest
import requests
from PIL import Image
from tcsocket.app.models import sa_con_skills, sa_contractors, sa_labels, sa_qual_levels, sa_subjects
from .conftest import count, get, select_... |
#!/usr/bin/python
# Example of 3-layer neural network (original code: https://github.com/makeyourownneuralnetwork/makeyourownneuralnetwork)
# Dataset: MNIST (short version)
# Original MNIST dataset: http://yann.lecun.com/exdb/mnist/, full dataset in CSV: https://pjreddie.com/projects/mnist-in-csv/
import numpy
import... |
import re
import random
from typing import Optional
from .accent import Accent
def honk(m: re.Match) -> Optional[str]:
return f"{' HONK' * random.randint(1, 4)}!"
# https://github.com/unitystation/unitystation/blob/cf3bfff6563f0b3d47752e19021ab145ae318736/UnityProject/Assets/Resources/ScriptableObjects/Speech... |
import unittest
from gocdapi.go import Go
from gocdapi.pipeline import Pipeline
from gocdapi.stage import Stage
class TestStage(unittest.TestCase):
DATA0 = {
"stages": [
{
"name": "Deploy"
},
{
"name": "tests"
}
],
... |
# Generated by Django 2.2 on 2019-05-02 17:36
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Articles',
fields=[
('id', mo... |
# Generated by Django 3.1.4 on 2020-12-28 23:40
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('reframery', '0005_auto_20201228_2337'),
]
operations = [
migrations.AlterField(
model_name='customuser',
name='valid... |
from multiprocessing import Pool, cpu_count
from os import listdir, makedirs
from re import search
from time import time
import cv2
ALPHA_BIAS = 0.5
BLUR_STRENGTH = 69
PROCESSES = [12, 9, 6, 4, 3, 2, 1]
cv2.setNumThreads(1) # For OpenCV
def main():
data_sets = ['data/{:s}'.format(set) for set in listdir('data')... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'bpmacmini01'
from PIL import Image
im = Image.open('/Users/bpmacmini01/Desktop/100.jpeg')
print(im.format, im.size, im.mode)
im.thumbnail((50, 50))
im.save('x.jpg', 'JPEG') |
import iris as i
import matplotlib.pyplot as plt
import iris.plot as iplt
from matplotlib import animation
from matplotlib.animation import ArtistAnimation
import cartopy.crs as ccrs
from sys import argv
from numpy import linspace
from os import makedirs
i.FUTURE.netcdf_promote = True
color_map = plt.get_cmap('infern... |
# create class polygon and rectangle
class Polygon:
def __init__(self, no_of_sides):
self.n = no_of_sides
self.sides = [0 for i in range(no_of_sides)]
def inputSides(self):
self.sides= [float(input("Enter side"+str(i+1)+":"))for i in range(self.n)]
def dispSides(self):
... |
# -*- coding: utf-8 -*-
import sys
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from MySQL import Database
class Controller(QObject):
db = None
def __init__(self,*args):
QObject.__init__(self,*args)
self.db = Database()
def getFullInfo(self):
query = self.getQuery(None)
self.emit(SIGNAL(... |
'''
author: juzicode
address: www.juzicode.com
公众号: juzicode/桔子code
date: 2020.6.5
'''
print('\n')
print('-----欢迎来到www.juzicode.com')
print('-----公众号: juzicode/桔子code\n')
print('dict 内置方法/函数实验：')
d={'juzi':10,'code':'orange','com':(1,2,3)}
print('d :',d)
print('d.keys() : ',d.keys())
print('d.keys()类型 : ',type(d.key... |
def is_prime(n):
if n <= 1:
return False
for devisor in range(2, n):
if n % devisor == 0:
return False
return True
def goldbach(n):
if n % 2 != 0 or n < 2:
return []
result = [(number, n - number)
for number in range(n) if is_prime(number) and is_p... |
import os
import time
import urllib.request
import pytest
bs4 = pytest.importorskip('bs4') # noqa
pytest.importorskip('lxml') # noqa
import teek
from teek.extras.soup import SoupViewer
pytest.importorskip('teek.extras.image_loader')
DATA_DIR = os.path.join(
os.path.dirname(os.path.dirname(os.path.abs... |
import common_vars as cvars
import pandas as pd
df = pd.read_csv(cvars.train_file)
print (df.columns.values)
print (len(df))
df['Browser_Used'] = df['Browser_Used'].apply(lambda x: cvars.browser_dict[x])
for col in df.columns.values:
print (col, len(df[col].unique()))
print (df.groupby(['Is_Response']).count().... |
from tkinter import *
CELL_LENGTH = 60
CELL_WIDTH = 60
FENCE_LENGTH = 60
FENCE_WIDTH = 15
TABLE_LENGTH = 9
TABLE_WIDTH = 9
NAME_CELL = 'C'
NAME_FENCE = 'F'
NAME_HORIZONTAL = 'H'
NAME_VERTICAL = 'V'
X1, Y1, X2, Y2 = 4, 8, 4, 0
colour_default = 'brown'
picture_background_direction = 'floor.png'
picture_button_default... |
#encoding: utf8
from splitdata import splitdata
from improve_cos import improve_cos
from user_cf import user_cf
from precision_recall import precision,recall
from coverage import coverage
from popularity import popularity
import time
from settings import *
def load_data(name):
records = [] # key => items
f = o... |
class Exemple3:
def __init__(self, long=45,larg=23):
self.longueur = long
self.largeur = larg
def aire(self):
print("L'aire de ce rectangle est de ", self.longueur,"X",self.largeur,"=",self.longueur*self.largeur)
# suite de l'exemple dans le fichier main.py
|
a=10
b=20
if(a==b):
print'true'
else:
print 'false'
print"-------------"
if(a!=b):
print'true'
else:
print 'false'
print"-------------"
if(a<>b):
print'true'
else:
print 'false'
print"-------------"
if(a>b):
print'true'
else:
print 'false'
... |
"""
distutilazy.command.clean_pyc
-----------------------------
Command to clean compiled python files
:license: MIT. For more details see LICENSE file or
https://opensource.org/licenses/MIT
"""
import distutilazy.clean
class clean_pyc(distutilazy.clean.CleanPyc):
pass
|
import numpy as np
import cv2
import psutil
import Image
import ImageGrab
import matplotlib.pyplot as plt
from threading import Timer
import win32api, win32con
import time
from itertools import izip
import os
import sys
from boto.dynamodb.condition import NULL
from networkx.generators.community import caveman_graph
fro... |
a=int(input("entre first number :"))
b=int(input("enter sec number :"))
print(a,b)
min=a if a<b else b
print("mim value :",min)
|
__version__ = "1.11.1"
from .pyNetwork import pyNetwork
from .pyGeo import pyGeo
from .pyBlock import pyBlock
from .constraints import DVConstraints
from .parameterization import DVGeometry
from .parameterization import DVGeometryAxi
try:
from .parameterization import DVGeometryVSP
except ImportError:
pass
tr... |
# encoding: utf-8
"""
Created on 2016-12-9
@author: Kyrie Liu
@description: init relay
"""
from Relay import *
import time
import os
import sys
import pickle
import win32com.client
class InitRelay(Relay):
def __init__(self, sn):
Relay.__init__(self, sn)
from RelayConst import Const
self... |
import sys
sys.path.append('../')
import torch
import torch.nn as nn
from openai_transformer.model_pytorch import TransformerModel
from openai_transformer.model_pytorch import load_openai_pretrained_model, DEFAULT_CONFIG
class TransformerSentenceEncoder(nn.Module):
def __init__(self, n_special, n_ctx=512, transfo... |
import json
from datetime import datetime
from typing import Any, Dict, List, cast
from covid19_sfbayarea.utils import dig, parse_datetime
from .cases_by_age import CasesByAge
from .cases_by_ethnicity import CasesByEthnicity
from .cases_by_gender import CasesByGender
from .meta import Meta
from .deaths_by_age impor... |
all_repos_to_get = dict()
set1 = set()
with open("/Users/davidwu/Desktop/cs221/cs221_github_project/davids_stuff/input_data/featurized-repos-2.txt") as input_file:
for line in input_file:
if "owner.login_name owner.type open_issues_count has_wiki has_downloads has_projects archived size fork owner_popularit... |
import argparse
#parse arguments
parser = argparse.ArgumentParser(description="Experiemts for ZP resolution (by qyyin)\n")
parser.add_argument("-data",default="None",help="specify data file")
parser.add_argument("-type",default="None",help="azp:Get azp feature ***\n\r res:Get res feature")
parser.add_argument("-res_t"... |
# 忽略警告提示
import warnings
warnings.filterwarnings('ignore')
# 导入数据分析包
import pandas as pd
import numpy as np
# 导入数据可视化包
import matplotlib.pyplot as plt
import seaborn as sns
# 导入数据
train_df = pd.read_csv('./titanic/train.csv',encoding='gbk')
test_df = pd.read_csv('./titanic/test.csv',encoding='gbk')
print('训练数据集:',tr... |
'''
Author : Dhruv B Kakadiya
'''
import random as rd
from math import sqrt
def getPrimeFactors(n):
factors = []
# If 2 is a factor
if (not n & 1):
factors.append(2)
while (not n & 1):
n = n >> 1
# If prime > 2 is factor
for i in range(3, int(s... |
import Sample as S
sample = S.Sample()
resp = sample.query_unread()
# print(resp)
for x in resp:
print(x)
# sample.delete(3)
# print("after update")
# resp = sample.query_unread()
# # print(resp)
# for x in resp:
# print(x)
|
import numpy as np
def convert_to_cylindrical(x,y,z):
p = np.sqrt(np.square(x)+np.square(y))
phi = 1/np.tan(y/z)
z = z
return (p,phi,z)
def reverse_1(p,phi,zee):
x = p*np.sin(phi)
y = p*np.cos(phi)
z = zee
return (x,y,z)
|
from django.http import Http404, HttpRequest, JsonResponse
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from slither.models import Slither
def view_index(request):
return render(request, 'slither/index.html', {
... |
from django.test import TestCase, Client
from .models import ClientProfile, TypeUser
from .forms import *
import json
from django.urls import reverse, resolve
class TestURLS(TestCase):
def setUp(self):
self.client = Client()
self.index_url= reverse('CM:index')
self.profile_url= reverse('CM:... |
# Manual stimulus used to find the receptive field position and size.
#
# Copyright (C) 2010-2012 Huang Xin
#
# See LICENSE.TXT that came with this file.
from Experiments.Experiment import ExperimentConfig,ManbarExp,MangratingExp
ExperimentConfig(data_base_dir='data',new_cell=True)
# When a neuron is isolated in Pl... |
"""
.. module:: helpers
:synopsis: Helper functions
"""
import re
def null_distance_results(string1, string2, max_distance):
"""Determines the proper return value of an edit distance function
when one or both strings are null.
**Args**:
* string_1 (str): Base string.
* string_2 (str): The stri... |
#_*_coding:utf-8_*_
from django.db import connection
import logging
logger = logging.getLogger(__name__)
class CustomSQL(object):
def __init__(self,q=None,p=[]):
self.q = q
self.p = p
self.cursor = connection.cursor()
def fetchone(self):
self.cursor.execute(self.q,self.p)
... |
#!/usr/bin/env python3
"""Converts a directory tree containing resource topology data to a single
XML document.
Usage as a script:
resourcegroup_yaml_to_xml.py <input directory> [<output file>]
If output file not specified, results are printed to stdout.
Usage as a module
from converters.resourcegroup_yaml... |
import torch
import torch.nn as nn
import torch.nn.functional as F
def expand_index(mask):
kernel = torch.ones((1, 1, 3, 3), device=mask.device).detach()
return F.conv2d(mask.float(), weight=kernel, stride=1, padding=1)
|
import numpy as np
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from distributions import Categorical
from replay_buffer import ReplayBuffer
class OrnsteinUhlenbeckNoise():
def __init__(self, mu, sigma=0.1, theta=0.1, dt=0.01, x_0=None):
""... |
#!/usr/bin/env python
# coding: utf-8
# In[46]:
# This Linear Regression model for Stock Market Predecting
import pandas_datareader.data as web # import pandas_datareader to read data from the web - stock market
import datetime as dt
import pandas as pd
import matplotlib.pyplot as plt # for ploting the graph
f... |
import cv2 as cv
import numpy as np
img_color = cv.imread('../test.jpg', cv.IMREAD_COLOR)
# 이미지의 높이와 너비를 가져옴
print("img datatype", type(img_color))
print("real values : ", img_color)
height, width = img_color.shape[:2]
print("height : ", height, ", width : ", width)
# 그레이 스케일 이미지 저장할 넘파이 배열 생성
img_gray = np.zeros( ... |
import tensorflow as tf
import tensorflow_datasets as tfds
W = tf.Variable(tf.ones(shape=(2, 2), name="W"))
b = tf.Variable(tf.zeros(shape=(2)), name="b")
@tf.function
def forward(x):
return W*x+b
out_a = forward([1, 0])
print(out_a) |
import unittest
from ..util import LazyFile
class TestUtil(unittest.TestCase):
def test_lazy_file(self):
license_file = LazyFile('LICENSE.txt')
self.assertTrue(license_file.file is None)
iter(license_file)
handle_0 = license_file.file
iter(license_file)
handle_1 = l... |
# Copyright (c) 2017-present, Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... |
# -*- coding: future_fstrings -*-
# MIT License
# Copyright (c) 2017 Cosmic Open Source Projects
# 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 limit... |
import datetime
import time
from pythonjsonlogger import jsonlogger
class JsonLogFormatter(jsonlogger.JsonFormatter):
def __init__(self, service_name, datacenter, env, hostname, get_tracking_info, *args, **kwargs):
jsonlogger.JsonFormatter.__init__(self, *args, **kwargs)
self.service_name = service... |
'''
Created on 2013-4-25
@author: Xsank
'''
|
#%%
import numpy as np
import pandas as pd
from scipy import stats
import matplotlib.pyplot as plt
import seaborn as sns
import arviz as az
from collections import Counter
from scipy.interpolate import griddata
import pymc3 as pm
import theano as tt
sns.set()
#%%
# Functions
def sort_vals(vals, ascending = True):
... |
# 실습 7
listv1 = ["A", "b", "c", "D", "e", "F", "G", "h"]
listv2 = [d for d in listv1 if 97 <= ord(d) <= 122]
print(listv2) |
import numpy as np
def root_mean_square(dots, n): # n - количество искомых коэффициентов
length = int(np.size(dots) / len(dots[0]))
sum_x_n = [sum([dots[i][0] ** j * dots[i][2]
for i in range(length)]) for j in range(2*n - 1)]
sum_y_x_n = [sum([dots[i][0]**j*dots[i][2]*dots[i... |
from app import db
from models import BlogPost
# create the db and the db
db.create_all()
#insert etc
db.session.add(BlogPost("Good", "I\'m good."))
db.session.add(BlogPost("Well", "I\'m well."))
db.session.add(BlogPost("postgres", "This post will mean that the postgres db is go!"))
# commit the changes
db.session.... |
from rest_framework import serializers
from rest_framework.relations import SlugRelatedField, PrimaryKeyRelatedField
from api.models.ApprovedFuel import ApprovedFuel
from api.models.ComplianceReportSchedules import ScheduleC, ScheduleCRecord, ScheduleARecord, ScheduleA, ScheduleBRecord, ScheduleB
from api.models.Expec... |
#!/usr/bin/python
import subprocess
import sys
import os
import urllib
import json
from optparse import OptionParser
import phonegap
parser = OptionParser()
parser.add_option("-d", "--directory", dest="directory",
help="Your Phonegap www directory source")
parser.add_option("--skip... |
"""
This GA code uses a simplified version of the gaModel where only some bins are considered.
"""
from numba import jit
from operator import attrgetter
from deap import base, creator, tools
import numpy
from csep.loglikelihood import calcLogLikelihood
from models.mathUtil import calcNumberBins
import models.model
imp... |
import array
import bz2
from django.db import models
from django.core.exceptions import ImproperlyConfigured
from django.utils.translation import ugettext_lazy as _
class AutoGrowingList(list):
""" A class to hold auto growing lists with a configurable index offset """
EMPTY = -1
INDEX_OFFSET = 1
de... |
import numpy as np
def findvar(ret, alpha=0.05, nbins=100):
# Function computes an empirical Value-at-Risk (VaR) for return-series
# (ret) defined as NumPy 1D array, given alpha
# (c) 2015 QuantAtRisk.com, by Pawel Lachowicz
#
# compute a normalised histogram (\int H(x)dx = 1)
# nbins: numbe... |
from django.db import models
# Create your models here.
class Pawn(models.Model):
xpos = models.DecimalField(decimal_places=3,max_digits=30)
ypos = models.DecimalField(decimal_places=3,max_digits=30)
# Splendor model objects
class SplendorGame(models.Model):
name = models.CharField(max_length=100)
clas... |
#!/usr/bin/env python
import random
from subprocess import call
idx=0
score=0
while True:
idx+=1
a=range(3,10)
b=range(3,10)
x=random.choice(a)
y=random.choice(b)
print "{0} => what's the answer of: {1} + {2}".format(idx,x,y)
print "_____________________________________________"
try:
... |
from django.contrib import admin
from . import models
import logging
# Register your models here.
auths_log=logging.getLogger('auths')
auths_log.debug('auth_log')
admin.site.register(models.library)
admin.site.register(models.libraryUser)
admin.site.register(models.libType)
admin.site.register(models.library_detail_inf... |
import collections
import functools
import itertools
import logging
import os
import warnings
import joblib
import numpy as np
import pandas as pd
import statsmodels.stats.proportion
import tensorflow as tf
from joblib import delayed, Parallel
from tqdm import tqdm
from questions import plot
from questions import uti... |
"""
Calculate power distribution of laser scanning photo-activation device
Laser beam symbols used are from the beam power formula:
[1] en.wikipedia.org/wiki/Gaussian_beam#Power_through_an_aperture
References:
[2] radiantzemax.com/kb-en/Goto50125.aspx
[3] leica-microsystems.com/products/light-microscopes/accessories/... |
__all__ = ['public_prefixes']
|
# -*- coding: utf-8 -*-
import typing
import monotonic
from bravado_core.response import IncomingResponse
if getattr(typing, 'TYPE_CHECKING', False): # Needed to avoid cyclic import.
from bravado.config import RequestConfig
T = typing.TypeVar('T')
class BravadoResponse(typing.Generic[T]):
"""Bravado resp... |
from .models import User
from .views import app
__all__ = ['User', 'app']
|
#-*- conding:Utf-8 -*-
#写一个列表，放入表示扑克牌的52张牌（不包含大小王牌）
#C代表club梅花，D代表diamond方块，S代表spade黑桃，H代表heart红心，1-13分别代表A-K,
poker_list = []
kind_list =["C","D","H","S"]
for i in kind_list:
for j in range(13):
poker_list.append(i + str(j+1))
print(poker_list)
print(type(poker_list))
print(len(poker_list))
print(type(p... |
import unittest
def compress_string(s):
can_compress = False
for i in range(len(s) - 2):
if s[i] == s[i + 1] and s[i + 1] == s[i + 2]:
can_compress = True
break
if not can_compress:
return s
count = 1
last = s[0]
compressed = ''
for c in s[1:]:
... |
from flask import Flask
from flask import abort
app = Flask(__name__)
@app.route('/')
def index():
abort(401)
return "NEVER_EXECUTED"
@app.errorhandler(404)
def page_not_found(error):
return 'PAGE_NOT_FOUND', 404
if __name__ == '__main__':
app.run(host='0.0.0.0', debug=True)
|
import RPi.GPIO as GPIO
from time import sleep
class Motor:
def __init__(self, pin, frequency=50):
self.frequency = frequency
GPIO.setmode(GPIO.BOARD)
GPIO.setup(pin, GPIO.OUT)
self.pwm=GPIO.PWM(pin, frequency)
self.initializeESC()
def initializeESC(self):
self... |
import pgzrun
from settings import *
from gamelib.pgzgamemanager import GameManager
from gamelib.scene import Scene
from flappystates import MainMenuState, GameOverState, PlayState
def update():
game.update()
def on_set_settings(var_name, value):
globals()[var_name] = value
def on_key_down():
game.ev... |
"""
A SOCKS HTTPConnection handler. Adapted from https://gist.github.com/e000/869791
"""
from __future__ import absolute_import
import socket
import socks
try:
from http.client import HTTPConnection
import urllib.request as urllib_request
except ImportError:
from httplib import HTTPConnection
import urll... |
from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
from Cython.Build import cythonize
ext_modules = [
Extension("my_module", ["lib/my_module.py"]),
# ... all your modules that need be compiled ...
]
setup(
name = 'example',
cmdclass = {'build... |
import csv
import time
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
from urllib.request import urlopen
from urllib.error import HTTPError
from urllib.request import urlretrieve
from urllib.parse import urlencode
from urllib.parse import quote
from itertools import chain
import inquirer
# import jsonel
... |
import random
from base import baseEnemy
class snowMan(baseEnemy):
def __init__(self, name, lvl, hostile, x = 0, y = 0, ID = 0, img = 'img/enemies/snowMan.png'):
super(snowMan, self).__init__(name, lvl, hostile, x, y, img, ID)
self.dmg = self.lvl * 3 + random.randint(0, self.lvl)
self.hp = self.lvl * 4 + random... |
import copy
import time
from itertools import permutations
from itertools import chain, combinations
from utils import (
is_in, argmin, argmax, argmax_random_tie, probability, weighted_sampler,
memoize, print_table, open_data, Stack, FIFOQueue, PriorityQueue, name,
distance
)
ids = ['205889892', '205907132... |
import sys
import os
import platform
import subprocess
if platform.platform() == 'Linux-4.9.32-v7+-armv7l-with-debian-8.0':
subprocess.call(" ln -s /usr/local/lib/python3.4/dist-packages/cv2.cpython-34m.so cv2.so", shell=True)
import cv2
subprocess.call(" uvcdynctrl -d /dev/video0 -s \"Focus, Auto\" 0", ... |
# -*- coding: utf-8 -*-
from pyramid_formalchemy.views import ModelView as Base
from pyramid.renderers import render_to_response
from pyramid.response import Response
from formalchemy.fields import _pk
from fa.extjs.fanstatic_resources import fa_extjs
from js.extjs import theme
import simplejson as json
import datetime... |
from flask import Flask, request, jsonify, render_template, redirect
from flask_pymongo import PyMongo
from bson.objectid import ObjectId
import datetime
app = Flask(__name__)
app.config["MONGO_URI"] = "mongodb://localhost:27017/311db"
mongo = PyMongo(app)
@app.route('/', methods = ['GET'])
def hello_world... |
from django.shortcuts import render
from models import DummyModel
def dummies(request):
qs = DummyModel.objects.all()
return render(request, 'dummies.html', {'qs': qs}) |
# -*- coding: utf-8 -*-
from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
from forms.enums import FormRequestReadStatusEnum, CallbackFormPlaceEnum, FeedbackFormPlaceEnum
from snippets.models import LastModMixin, BasicModel
class BaseFormRequest(Last... |
def search(visitados, matrix, i, j, lin, col):
if i > 0 and matrix[i-1][j] == 'H' and not (i-1, j) in visitados:
visitados.append((i-1, j))
matrix[i][j] = '.'
return search(visitados, matrix, i-1, j, lin, col)
if i <lin-1 and matrix[i+1][j] == 'H' and not (i+1, j) in visitados:
... |
from torch.autograd import Variable
from torch.utils.data import DataLoader
import random
class Wrapper(object):
pass
class RLWrapper(Wrapper):
_pytorch = True
_vectorized = True
def __init__(self, datasets, batch_size=32, workers=1, use_cuda=False):
"""
:param datasets: A list of Data... |
class Solution:
def rotate(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: void Do not return anything, modify nums in-place instead.
"""
# # Solution 1
# k = k % len(nums)
# if k == 0:
# temp = []
# else:
# ... |
#!/usr/bin/python
import sys
import nltk
from nltk.corpus import stopwords
import string
import re
#This script takes a question removes apostophe, punctuation and stop words
if len(sys.argv) != 2:
print "Incorrect argument format"
else:
question = sys.argv[1];
print question;
#remove apostrophe
question = re.s... |
# @Author: aravind
# @Date: 2016-08-08T21:59:16+05:30
# @Last modified by: aravind
# @Last modified time: 2016-08-08T22:43:07+05:30
from selenium import webdriver
import os
import getpass
import json
from selenium.common.exceptions import WebDriverException, NoSuchElementException
home_path = os.getenv('HOME')
b... |
from django.test import TestCase
from django.contrib.auth import get_user_model
class ModelTests(TestCase):
def setUp(self):
self.payload = {
"email": "milan9oaasdsd@gmail.com", "password": "12345qwerty", "first_name": "Milan",
"last_name": "Petkovic", "phone": "123234283",
... |
from tensorflow.keras import layers
from tensorflow.keras.layers import TimeDistributed, LayerNormalization
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.regularizers import l2
import kapre
from kapre.composed import get_melspectrogram_layer
import tensorflow as tf
import os
def Conv1D(NU... |
#!/usr/bin/env python3
"""
Test for localif identifier
"""
import unittest
from base_test import PschedTestBase
from pscheduler.limitprocessor.identifier.localif import *
DATA = {
}
class TestLimitprocessorIdentifierJQ(PschedTestBase):
"""
Test the Identifier
"""
def test_data_is_valid(self):
... |
import os
import requests
import json
import datetime as dt
from boto.s3.connection import S3Connection, Location
from boto.s3.key import Key
def unsafe_getenviron(k):
v = os.environ.get(k)
if(v):
return v
else:
raise Exception('environment variable %s not set' % k)
JC_DECAUX_API_KEY = unsafe_getenviron('JC_... |
import datetime
import calendar
weekday_token = {
'Monday': 0,
'Tuesday': 1,
'Wednesday': 2,
'Thursday': 3,
'Friday': 4,
'Saturday': 5,
'Sunday': 6
}
modifier_token = {
'1st': 0,
'2nd': 1,
'3rd': 2,
'4th': 3,
'5th': 4,
'last': -1,
'teenth': 100
}
def m... |
import torch
import torch.utils.data
# from torch.nn.modules.distance import PairwiseDistance
from torch.distributions.normal import Normal
import matplotlib.pyplot as plt
class MapClass:
def __init__(self, data, length, width, learning_rate, number_iterations, matrix_graph_weights, data_lables=None, batch_size=... |
import pandas as pd
from autumn.core.project import (
Project,
ParameterSet,
load_timeseries,
build_rel_path,
get_all_available_scenario_paths,
use_tuned_proposal_sds,
)
from autumn.calibration import Calibration
from autumn.calibration.priors import UniformPrior
from autumn.calibration.targets... |
import pyautogui as pg
import time
pg.hotkey("winleft","ctrl","d")
pg.hotkey("winleft")
pg.typewrite("chrome\n",0.3)
pg.hotkey("winleft","up")
time.sleep(1)
pg.hotkey("winleft","up")
time.sleep(1)
pg.hotkey("winleft","up")
time.sleep(1)
pg.typewrite("https://www.youtube.com/watch?v=yqEeP1acj4Y\n",0.1)
tim... |
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