index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
12,800 | c09448ff9548db2752d574887efc08514d4c69ce | import cloudpassage
import sys
import os
import yaml
import datetime
sys.path.append(os.path.join(os.path.dirname(__file__), '../../', 'lib'))
from event import Event
config_file_name = "portal.yml"
tests_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../"))
config_file = os.path.join(tests_dir, "co... |
12,801 | 436278f16f3fcd08993f4995842dcf546473af50 | import pandas as pd
import numpy as np
import tensorflow as tf
from typing import List
import twins
# TODO - remove dep on the service in this repo; create a package that gets
# imported into both things (parent). But for sake of time just use the
# svc client here
import svc
def _join(x) -> str:
cols = ["inte... |
12,802 | 44ecdd1e564fd398959adb2529f307d1183507a2 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from bili import cols
from bili.bili_video_name import *
if __name__ == "__main__":
for _col in cols[1: -1]:
init_ignore_id()
video_aids = get_video_aid(_col)
_names = get_video_name(video_aids)
update_db_video_name(_names)
print(_col, "DONE!!!")
# conn.close(... |
12,803 | 38897d9694a15e0a6f5d64c021eea56982120910 | # -*- encoding: utf-8 -*-
from django import template
from reqApp.models import *
from reqApp.choices import *
from reqApp.util import *
from random import randrange
register = template.Library()
@register.filter(name="proyecto")
def proyecto(request):
return getProject(request)
@register.filter(name="invertOrd"... |
12,804 | 374aa1504c4270171ebf7014449aab9e85e10716 | import ast
from collections import OrderedDict
from PythonVoiceCodingPlugin.library import sorted_by_source_region,get_source_region,make_flat
from PythonVoiceCodingPlugin.library.info import *
from PythonVoiceCodingPlugin.library.traverse import search_upwards,search_upwards_log, find_matching,match_node, find_all_no... |
12,805 | aac2bf245619832434bc896b0e73e40378a322ac | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from setuptools import setup, find_packages
import setuptools.command.install as _install
import subprocess
class install(_install.install):
def run(self):
subprocess.check_call(["make"])
... |
12,806 | 2c4a5307efa9d3887183a67f06cf4fc2a262bbe5 | from urllib.request import urlopen
html=urlopen("http://www.pythonscraping.com/pages/page1.html")
print (html.read()) |
12,807 | efae03c673cdfd3529f4182946f7b33635e665b1 | __all__ = ["csv_col_save"]
import csv
def csv_col_save(fileName, cols, colHeader):
__save_to_csv_col(cols, fileName, colHeader)
def __save_to_csv_row(rows, fileName):
"""
:param rows:
list of Dictionaries where each item is a dictionary mapping the
fidld name to the value.
:param fil... |
12,808 | 45e0f562b49fdcbf14b79a3bfacf65841195d7df | import csv
#input number you want to search
cardName = input('Enter part of name to find\n')
#read csv, and split on "," the line
csv_file = csv.reader(open('MunchkinTreasureCards.csv', "r"), delimiter=",")
#loop through the csv list
for row in csv_file:
if len(row) > 1: #checking for empty rows
#if input is... |
12,809 | dced9cf7d4feef7ead9fba935c0a888a3d40aca9 | from flow.core.params import VehicleParams,InFlows,SumoCarFollowingParams,SumoParams, EnvParams, InitialConfig, NetParams, SumoLaneChangeParams
from flow.controllers import IDMController, RLController
from controller import SpecificMergeRouter,NearestMergeRouter
# from flow.core.params import
from network import Highw... |
12,810 | a227de636abf8cf28525011ecaae489d895353b9 | # -*- coding: utf-8 -*-
"""
Utility functions (:mod:`refmanage.fs_utils`)
=============================================
.. currentmodule:: fs_utils
"""
import os
import glob
import pathlib2 as pathlib
from pybtex.database.input import bibtex
from pybtex.exceptions import PybtexError
from pybtex.scanner import TokenRe... |
12,811 | 1981ad50b63b60e005211e35baf9512ab89e95bc | # from jsonschema import Draft4Validator
from jsonschema import validate, RefResolver
import json
import os
with open('schema/config-schema.json') as f:
schema = json.load(f)
# Bugfix in jsonschema
# https://github.com/Julian/jsonschema/issues/313
schema_dir = os.path.dirname(os.path.abspath('schema/config-schema... |
12,812 | 5a9b0726d37a76f73f4478a6c81d8416b460b9ce | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
from functools import reduce
from datetime import datetime as dt
class CasesCategory(scrapy.Item):
positive = scrapy.Field(serialier = int)
pres... |
12,813 | 41ff88dbeff121c8834d8863359e071927ac0d5c | from yolo import YOLO
from PIL import Image
import cv2
yolo = YOLO()
cap = cv2.VideoCapture("nvcamerasrc ! video/x-raw(memory:NVMM), width=(int)1280, height=(int)720,format=(string)I420, framerate=(fraction)30/1 ! nvvidconv flip-method=0 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)B... |
12,814 | 07ac997bdb549666376009055e4c8f72fb81f00d | import json
import os
import zipfile
from unittest import mock
import pytest
from cloudify_system_workflows.snapshots.snapshot_create import EMPTY_B64_ZIP
from cloudify_system_workflows.tests.snapshots.utils import (
AuditLogResponse,
load_snapshot_to_dict,
prepare_snapshot_create_with_mocks,
FAKE_EXE... |
12,815 | 8229a54455948ae88bdfdc854b5a062551077410 | # -*- coding: utf-8 -*-
# Copyright 2015 Yelp and Contributors
#
# 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... |
12,816 | 6c0bcb5bebb0e7167591a48683f55befad4f8bdf | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Print all solutions encoded in one file clingo output (with one answerset per line)
import sys
filename = sys.argv[1]
gridsize = int(sys.argv[2])
#print("This is the name of the script: ", sys.argv[0])
#print("Number of arguments: ", len(sys.argv))
#print("The arguments ar... |
12,817 | ce907d89ce436c9ded3d18e38cc8f215a8e4fcca | # -*- coding: utf-8 -*-
from scrapy import Spider, Request
from Amazonspider.items import AmazonspiderItem
import re
class AmazonmacSpider(Spider):
name = 'AmazonMacSpider'
allowed_domains = ['www.amazon.com']
start_urls = ['https://www.amazon.com/s/ref=sr_pg_1?fst=p90x%3A1&rh=n%3A172282%2Ck%3Amacbook&key... |
12,818 | ebeeafb91d72d8b3c4ecb2120c6bbc860060a189 | nota1 = float(input('digite uma nota: '))
nota2 = float(input('digite outra nota: '))
print('a media das notas desse aluno será: \033[34m{:.1f}\033[m'.format((nota1+nota2)/2))
|
12,819 | fa715c6a2f91a5778127ba41ef2e5eb835be58bb | from __future__ import annotations
import json
import operator as op
import typing
import warnings
from collections import defaultdict
from dataclasses import dataclass
from datetime import datetime
from functools import cached_property
from typing import (
TYPE_CHECKING,
Any,
Callable,
Collection,
... |
12,820 | ad9deb761e8f37a1865aa8170373be7de8efe490 | #!/usr/bin/python3
from http.server import BaseHTTPRequestHandler as BaseHandler,HTTPServer
import threading
import time
import json
from .MInfo import *
class MServer:
def __init__(self, handle_chat, handle_dm):
pass
def chat(self):
pass
def dm(self):
pass
class TestMServer(MServer):
def __... |
12,821 | 8c4f7b49f612d63f939fa96665a3c8ab18c9b38a | from django.shortcuts import render
# Create your views here.
from django.shortcuts import render, redirect
from .models import User, Address
from django.contrib.auth import authenticate, login, logout
from django.conf import settings
from django.contrib.sites.shortcuts import get_current_site
from django.template.loa... |
12,822 | 8853305ab7bbd9294d46f383dec781d742fb905f | import time
import io
import cv2
from threading import Thread, Lock
from thread import start_new_thread
camera = None
current_photo = None
current_photo_lock = Lock()
def init(res,shutter_speed):
global camera
exposure_time = 1e9/shutter_speed
camera = cv2.VideoCapture(0)
camera.set(cv2.cv.CV_CAP_PR... |
12,823 | f827400ba12990e0a319480cdddf6014cdbe1312 | from enum import Enum
from typing import Any, Dict, Optional, overload
from .conditions import RuleConditionKey
from .user_restriction import DurationUnit, UserRestriction
from .util._codegen import BaseParameters
class RuleType(Enum):
...
class RuleAction(BaseParameters):
def __repr__(self): ...
def ... |
12,824 | 663da754865dc0a49ca4fa4dfc3869d094a6aaa7 | # 2017 Qualification Round - A. Oversized Pancake Flipper
# https://code.google.com/codejam/contest/3264486/dashboard#s=p0
def solve(pancakes, k):
pancakes = list(map(lambda p: p == '+', pancakes))
res = 0
for i in range(len(pancakes)-k+1):
# print(pancakes, i, pancakes[i])
if not panc... |
12,825 | e10cb90299dfe03ca46cb14330561400ea6f46b2 | import importlib
import sys
__all__ = (
'client'
)
|
12,826 | 12d88b47e948efb6a4094f07bc58c35c6886f634 | # Generated by Django 2.0.1 on 2018-01-16 00:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('talks', '0024_auto_20180114_0111'),
]
operations = [
]
|
12,827 | a4b2cf93d4d83e32f837f2e7e60eda731aa74af0 | #!/usr/bin/python3
# Copyright 2020 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 agr... |
12,828 | 5306ba5840d1e3965481932185e099939ffdc17c | import numpy as np
import DataProcessingTools as DPT
from .rpllfp import RPLLFP
from .rplhighpass import RPLHighPass
from .rplraw import RPLRaw
from .helperfunctions import computeFFT
import matplotlib.pyplot as plt
import os
from .misc import getChannelInArray
class FreqSpectrum(DPT.DPObject):
filename = "freqs... |
12,829 | 370aafa4477562bdf91947a72f703c833360f1cd | # In your team's parameter file where you have values such as 1.96E-6. The E-6 refers to (10 ** -6)
# So you will need to change the -6 to reflect a difference in your paramters
# ----------------------------------------------------
# ENTER GROUP PARAMETERS HERE
from pip._vendor.distlib.compat import raw_input
Input... |
12,830 | e8bea8d2ea58fb54048d633c974c3c64c339803a | from point2D import Point2D
class Point3D(Point2D):
_z:int
def __init__(self,x,y,z):
super().__init__(x,y)
self._z = z
def __getZ__(self) -> int:
return(self._z)
def __setZ__(self,z):
self._z=z
|
12,831 | f9102d02ac438551c107216f873ca165c2886482 | import django.forms
from django.shortcuts import render
from django.db import models
from django.forms import HiddenInput
from django.http import HttpResponseRedirect
from django.urls import reverse
from .models import Message, Agent, Quiz, Comment
from .forms import AgentForm, MessageForm, QuizForm, CommentForm
# Crea... |
12,832 | 942fef326fed51cdc7635076c45f07af02b8b7f2 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import re
import nltk
from sklearn.datasets import load_files
# nltk.download('stopwords')
import pickle
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from sklearn.feature_extraction.text import CountVectorizer
... |
12,833 | ac3f9f6cd21790993da3193abad9cd8d67644392 | def re2sqrt(s):
j = s.find("^(1/2)")
while j != -1:
j -= 1
while '0'<=s[j]<='9':
j=j-1
if (j+1) < 0:
s = 'sqrt('+s
else:
s = s[:j+1]+'sqrt('+s[j+1:]
s = s.replace("^(1/2)",")",1)
j = s.find("^(1/2)")
return s |
12,834 | 09529f2290d3434bea5e41beac7d74d42a5b41c4 | #coding:UTF8
#字典排序
#统计目录下占用空间最大的前10个文件
import os
import sys
import operator
def get_dic(topdir):
dic = {}
a = os.walk(topdir)
for p,d,f in a :
for i in f:
fn = os.path.join(p,i)
f_size = os.path.getsize(fn)
dic[fn]=f_size
return dic
if __name__ =='__main_... |
12,835 | 7957fbe702b87873d0bb00dc4637f1c881f3c081 | """
146. LRU Cache
Medium
Design a data structure that follows the constraints of a Least Recently Used (LRU) cache.
Implement the LRUCache class:
LRUCache(int capacity) Initialize the LRU cache with positive size capacity.
int get(int key) Return the value of the key if the key exists, otherwise return -1.
void pu... |
12,836 | 8a2cdff66b39835b752ac1f32623bebb9893449e | #
# Python GUI - Colors - Gtk
#
from gtk import gdk
from GUI import export
from GUI.GColors import Color as GColor
class Color(GColor):
_alpha = 1.0
def _from_gdk_color(cls, _gdk_color):
c = cls.__new__(cls)
c._gdk_color = _gdk_color
return c
_from_gdk_color = classmethod(_from_gdk_color)
def __init_... |
12,837 | 0a1c816109520270ad0c0f9588c5927c64f68ee8 | #!/usr/bin/env python2
#
# git-deps - automatically detect dependencies between git commits
# Copyright (C) 2013 Adam Spiers <git@adamspiers.org>
#
# The software in this repository 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 ... |
12,838 | 48196432260c0e3c6ab9f578417de03671c20932 | import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from dipy.io.streamline import load_tractogram
from dipy.align.streamlinear import set_number_of_points
from dipy.viz import window, actor, colormap as cmap
import numpy as np
import time
import os
from models.tf_tools.transformer.transformer im... |
12,839 | 2f8f4eb9c22fa400d89eed9fb3a700f3624d789f | from datetime import timedelta, datetime
import pytest
from tests.conftest import assert_equal_objects, obj_id
from saana_lib.recommendation import MinimizeRecommendation, \
AvoidRecommendation, PrioritizeRecommendation, RecipeRecommendation
patient_id = obj_id
recipe_id = obj_id
@pytest.fixture
def tags_find_... |
12,840 | 8774c7dc21ae8a9aa6f1ce413ececdd90b632c9a | import numpy as np
import matplotlib.pyplot as plt
t0=2.0
xprime=9.0*(np.exp(-t0))/(1.0+9.0*(np.exp(-t0)))/(1.0+9.0*(np.exp(-t0)))
q1file=open('q1py.txt','w')
def x(t):
return 1.0/(1.0+9.0*(np.exp(-t)))
def xprimeest(x0,x,deltat):
return ((x-x0)/deltat)
def derivdiff(prime,estprime):
return np.abs... |
12,841 | 6e49c2b0e7f2772f61c1dc17b9d6962b352f0694 | from random import randint
def start_game():
print('Welcome to the number guessing game!')
attempts = 0
random_number = randint(1,10)
while True:
attempts += 1
try:
guess = int(input("Guess a number 1-10 "))
except ValueError:
print("Oops, thats not a ... |
12,842 | 3e444e78871a0b200fbfec93ad3e3a7ece3ecffa | from geopy.distance import geodesic
from django.shortcuts import render
from django.shortcuts import redirect
from django.shortcuts import HttpResponse
from sklearn import metrics
from applications.user.models import AdminInfo
from applications.work.models import CarWorkDay, Route
from applications.work.models import ... |
12,843 | f9f5c976ad01450d91ab7f9b959d7b4f9d10b76c | '''
Welcome.
In this kata you are required to, given a string, replace every letter with its position in the alphabet.
If anything in the text isn't a letter, ignore it and don't return it.
a being 1, b being 2, etc.
As an example:
alphabet_position("The sunset sets at twelve o' clock.")
Should return "20 8 5 19 ... |
12,844 | 576b5618f1cde5101559a242e4643f947e34ab9d | dict = {'name': 'John', 'age': 49}
str = '****'.join(dict)
print(str) |
12,845 | 03e888a7b2b6e31b85ec53ee77aa679ff0b2a79f | class Addition:
@staticmethod
def sum(augend,addend=None):
if isinstance(augend,list):
return Addition.sumList(augend)
return augend + addend
@staticmethod
def sumList (valueList):
result = 0
for element in valueList:
result = Addition.sum(result... |
12,846 | 34fe60eec9e6f6f9f08e09a7498cf3062eb9b855 | # Generated by Django 2.2.4 on 2019-08-07 07:32
from django.db import migrations, models
import main.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Product',
fields=[
('id'... |
12,847 | e8f7926e9a3e9c1a6413b049a601c393075c810f | import random
def lottery(names):
return random.choice(list(set(names)))
|
12,848 | 70c495c2bd975235fab0f993553776df1ea626a8 | # I have created this file - Akanshu
from django.http import HttpResponse
from django.shortcuts import render
from .methods import *
def index(request):
return render(request, 'index.html')
def analyse(request):
#getting the text
djtext = request.POST.get("text", "default")
#applied operation
dj... |
12,849 | 4352ee21338f1b09b20ec2f4a513225696ec1869 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 15 02:49:31 2020
@author: User
"""
#Candies and two sisters
'''
import math
t = int(input())
ans = []
for i in range(t):
n = int(input())
if n%2 == 0:
ans.append(int(n/2-1))
else:
mid = math.ceil(n/2)
ans.append(n-mid)
... |
12,850 | 2e7ca75adfcd5f8d017689aca34b70ae8bf4f3ac | #this script handles the operations to be performed on user accounts
#for example adding user or deleting user
class Userr(object):
def __init__(self, username, email, f_name, l_name, password):
self.username = username
self.email = email
self.f_name = f_name
self.l_name = l_name
... |
12,851 | 3ce5e4c703da51461914620cc1f2cb7f9fe69fe9 | import sqlite3
from app.api.classes import Flashcard
from flask import current_app
import json
def create_flashcard(title: str, description='', source='', image_url='', tags=[]):
with sqlite3.connect(current_app.config['DB']) as db:
c = db.cursor()
c.execute(
"""
INSERT INTO... |
12,852 | 284c0c7705406f30a4d245e5a41597b1ef9b53dd | # main_train.py
import os
import torch
import argparse
import numpy as np
from torch import nn
from sklearn.model_selection import train_test_split
import utils as u
import model as m
from preprocess import Preprocess
from data import TwitterDataset
from train import training
path_prefix = './data/'
# 要不要固定embedding... |
12,853 | d4c22e7ff93cd8b5b2c19da34d16c4e7299c88dd | from django import forms
from django.contrib.auth.models import User
from django.forms.extras.widgets import SelectDateWidget
class RegistrationForm(forms.Form):
username = forms.CharField(max_length = 50,
widget = forms.TextInput(attrs={'class':'form-control',
... |
12,854 | 28021f8a73db4f3d33e21216396a2705e6c023f0 | N,M=map(int,input().split())
even=0
odd=0
for i in range(0,N):
even+=i
for j in range(0,M):
odd+=j
print(odd+even) |
12,855 | d78bc7c085ad64c3628c03c0717dcbae323b68c9 | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
def index(request):
context ={}
return render(request, 'index.html', context)
@login_required
def test_admin(request):
context = {}
return render(request, 'test.html', context) |
12,856 | 7b01dfd98b2bdf532a63860514ec57f1d8eb306d | # this function is what calculates the account that has the most similar rating
# to the account logged in
from file_manip import *
import constants as c
def get_similar(account_name):
# declare variables
filename = 0
sorted_distances = []
distance = 0
distances = []
variant = 0
i = 0
j = 0
# get songs from... |
12,857 | f95bba57463087af0ec777e0affa9031c52ac32b | from LExprVisitor import LExprVisitor
from LExprParser import LExprParser
class CalcVisitor(LExprVisitor):
def visitAdd(self, ctx: LExprParser.AddContext):
return self.visit(ctx.e(0)) + self.visit(ctx.e(1))
def visitMult(self, ctx: LExprParser.MultContext):
return self.visit(ctx.e(0)) * self... |
12,858 | 8a333a216fcc6c4c32cafd942586e9306fb4ea25 | # calculating gcd of two numbers in python
def gcd(a,b):
if(b==0):
return a
else:
return gcd(b, a%b)
a,b=map(int,input().split())
print(gcd(a,b))
|
12,859 | bf58db0be13530e9c42c3a6ac4f80939365b356b | import os
import groot
import numpy as np
import PIL
import torch
import torchvision
class GroceryDataset(torch.utils.data.Dataset):
def __init__(
self,
root,
split="train",
string_labels=True,
transforms=None,
adjust_freq=True,
eps=1e-5,
use_all_la... |
12,860 | a13b60dbb71aad02cb565ca86f9cca2406395502 | from distutils.core import setup
import py2exe
# Dependencies are automatically detected, but it might need fine tuning.
#buildOptions = {"packages": [], "excludes": [""]}
# GUI applications require a different base on Windows (the default is for a
# console application).
#
#expectstub = Target(
# ... |
12,861 | 725f87903c3319614fbe9e54e49129b78cd194f7 | import torch
import torch.utils.data
from .. import utils
import numpy as np
import math
from typing import Dict, Any, List, Optional
class InfiniteSampler(torch.utils.data.Sampler):
def __init__(self, data_source: torch.utils.data.Dataset, replacement=True, seed=None):
super().__init__(data_source)
... |
12,862 | 2dd84cc7c225967a15a898297939e879521d5b79 | """from difference_of_squares import difference, square_of_sum, sum_of_squares
"""
def difference(i):
""" calculate the difference """
return square_of_sum(i) - sum_of_squares(i)
def sum_of_squares(i):
""" sum of squares """
return sum([j**2 for j in range(1, i+1)])
def square_of_sum(i):
""" ... |
12,863 | 435eb0706395e7aa736f6480f71cccebc7bb6bed | import sys, os, time
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
sys.path.insert(1, os.path.join(sys.path[0], '..'))
import tensorflow as tf
# Import model builder
from model import build_neurosat
# Import tools
from cnf import ensure_datasets
import instance_loader
import itertools
from util import timestamp, memory_usage
... |
12,864 | a6e329e74c5b0145d753d3ca3ff8c2a600fdf1d3 | from django.conf.urls import url
from . import views
app_name = 'annotations'
urlpatterns = [
url(r'^export/(\d+)/create/$', views.create_exportformat, name='create_exportformat'),
url(r'^export/(\d+)/auth/$', views.export_auth, name='export_auth'),
url(r'^export/(\d+)/download/$', views.download_export, ... |
12,865 | e5c85ac93e1c87fe37cc08346fd0d79095560b16 | import sqlite3
import logging
import time
__version__ = "0.1.0"
initial_sql = """CREATE TABLE IF NOT EXISTS log(
Id INTEGER PRIMARY KEY AUTOINCREMENT,
TimeStamp TEXT,
Source TEXT,
LogLevel INT,
LogLevelName TEXT,
... |
12,866 | a09025429e0d60a6ea00153469cb498e913feb29 | # from flask import render_template
# from myapp import application, db
#
#
# @application.errorhandler(404)
# def not_found_error(error):
# return render_template('errors/404.html'), 404
#
#
# @application.errorhandler(500)
# def internal_error(error):
# db.session.rollback()
# return render_template('erro... |
12,867 | e04116e697f9aaaef9d2d101f0492d67f02347c4 | import parsing
parsing.parser.add_option("--timed-repeat", metavar="SECONDS", type="float", help="Repeat each test, for a limited time")
def process_options(options):
if options.timed_repeat is not None:
from testoob.running import fixture_decorators
parsing.kwargs["fixture_decorators"].append(
... |
12,868 | 1e7ced31fcb03df750e30ddb7aa03f135f2075b7 | from django.conf.urls import patterns, include, url
from rest_framework import routers
from api import views
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'evemonline.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url('^ap... |
12,869 | 21510265a27134984ca4dd70be2cc51b15bf4264 | import numpy as np
from basemodel import BaseModel
from sklearn import svm, cross_validation
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.neighbors impo... |
12,870 | a95dd29ec685fc5b7146c38593e46fb9b4a4dd17 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
@Author: Fabian Fey
"""
import os
from logzero import logger
COLORPATH = '/etc/regolith/styles/costum-theme/color'
def ChangeColors(colorsList):
colors = [
"#define color_base03 " + colorsList[0],
"#define color_base02 " + colorsList[1],
... |
12,871 | 9de009b51146daed062c267950754576eb557833 | import torch
import torch.autograd as autograd
import torch.optim as optim
import numpy as np
import matplotlib as mpl
from datetime import datetime
mpl.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import os
from torch.autograd import Variable
import torch.nn as nn
import torch.n... |
12,872 | 247e7ec49f8cda539d2189ca06573638098b3f4f | from LAFitness import LAFitness
from Member import Member
from datetime import datetime
if __name__ == "__main__":
# load from config file...
# parameters
monthlyFee = 25
initFee = 25
# main
laFitness = LAFitness(monthlyFee, initFee)
LDai= Member("Dai Lian", datetime(2016,12,15))
... |
12,873 | a1b37349c0daa801a705e632a97e5fb1f12dce4e | # Cats with hats
theCats = {}
loops = 0
#create 100 hatless cats in theCats dictionary
for i in range(1, 1001):
theCats["Cat " + str(i)] = False
for i in range(1, 1001):
loops += 1
count = 0
for cat, hats in theCats.items():
count += 1
if count % loops == 0:
if theCats[cat]... |
12,874 | a9538fa94cd31f9c574dcc7e79ba7138bd806014 | def dodawanie(a, b):
return(a+b)
def get_info():
print("Program kalkulator. Autor: Kasia")
get_info()
try:
l1 = int(input())
l2 = int(input())
print(dodawanie(l1, l2))
except:
print("Program zakończył się nieoczekiwanym błędem")
print("Możesz go zgłosic pod adresem autor.pl")
|
12,875 | 9bad1a06a5cc083d12cd42d9b67d35a279e7e5e5 | # -*- encoding=utf8 -*-
__author__ = "xsl"
import pytest
from tools.tool import *
from tools.config import *
from airtest.core.api import *
from poco.drivers.android.uiautomation import AndroidUiautomationPoco
poco = AndroidUiautomationPoco(use_airtest_input=True, screenshot_each_action=False)
auto_setup(__file__, l... |
12,876 | 3fd0383b6aef00ca2c300da292c545dc3b1d64c1 | import matplotlib.pyplot as plt
import numpy as np
import h5py
import caesar
import os
import sys
from plotting_methods import *
plt.rc('text', usetex=True)
plt.rc('font', family='serif', size=18)
palette_name = 'tol'
min_mass = 9.
max_mass = 12.
dm = 0.25 # dex
snap = '151'
model = sys.argv[1]
wind = sys.argv[2]
if... |
12,877 | 03b411831dd18ff1939b7a7470514edf2f43ec66 | def get1(nums):
m=len(nums)
for i in range(m):
if i not in nums:
return i
l1=[3,0,1]
print(get1(l1)) |
12,878 | 0991db10ec09ff1006dd959adb3911c943d913f7 | """
Gif.py
David Merrell
2018-06-28
This module defines the Gif class.
Gif objects correspond to whole GIF files;
i.e., for each GIF you want to make, a Gif object
must be constructed and acted upon.
"""
import matplotlib.pyplot as plt
import subprocess as sp
import math
import os
class Gif:
"""
Each instan... |
12,879 | 60d404dc38ecef65f8df6994ba9c27866463de92 | # -*- coding: utf-8 -*-
from abc import ABCMeta, abstractmethod, abstractproperty
class AbstractClient(object):
__metaclass__ = ABCMeta
@abstractmethod
def findOrgStructureByAddress(self):
pass
@abstractmethod
def getScheduleInfo(self):
pass
@abstractmethod
def getPatien... |
12,880 | cbc14dc91b7b4cb71110d0c9a65fa645cd874113 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import re
import csv
from bs4 import BeautifulSoup
if len(sys.argv) <= 1:
sys.exit()
cols = ["id_row","return","name","city","prov","postalcode"]
cw = csv.DictWriter(sys.stdout, cols)
f = open(sys.argv[1], "r")
intext = f.read()
intext = re.sub(r" ", ... |
12,881 | a7aaee3dd664cbdb877d1b9b3e4a74891c1f9ba4 | from app import db
from sqlalchemy.orm import relationship
from sqlalchemy_utils.types import PasswordType
from sqlalchemy_searchable import Searchable, SearchQueryMixin
from sqlalchemy_utils.types import TSVectorType
from flask.ext.sqlalchemy import SQLAlchemy, BaseQuery
from wtforms_alchemy import ModelForm
ROLE_US... |
12,882 | be42717a8bd736378c5ac3921ce701fdc92ff683 | # snippet-comment:[These are tags for the AWS doc team's sample catalog. Do not remove.]
# snippet-sourcedescription:[deeplens_inference_lambda.py demonstrates how to create an inference Lambda function on an AWS DeepLens model.]
# snippet-service:[deeplens]
# snippet-keyword:[AWS DeepLens]
# snippet-keyword:[Python]
#... |
12,883 | 6be0fee7e208872b03b152bb1953bf1dde74ce88 | import sys,os
import data_processing as dp
import ecc_tools as tools
import timeit
# import pydca-ER module
import matplotlib
#matplotlib.use('agg')
import matplotlib.pyplot as plt
from pydca.erdca import erdca
from pydca.sequence_backmapper import sequence_backmapper
from pydca.msa_trimmer import msa_trimmer
from pyd... |
12,884 | 30ff09278265f131b92ef8d937bf8034942c657b | #! /usr/bin/env python3
import io
import sys
import json
from itertools import tee, chain, groupby
from difflib import ndiff
from pprint import pprint
from colorama import Fore, Style
def windows(iterable):
"s -> (s0,s1), (s1,s2), (s2, s3), ..."
a, b, c = tee([None]+list(iterable)+[None, None], 3)
next(... |
12,885 | 7cdbf060bcfb6306b1d4b1661180177deba22f9f |
d = [1, 2, 3, 4, 5] # list of int declaration
list_iterator_obj = iter(d)
print(list_iterator_obj.__next__())
print(list_iterator_obj.__next__())
print(list_iterator_obj.__next__())
print(list_iterator_obj.__next__())
print(list_iterator_obj.__next__())
print(list_iterator_obj.__next__())
|
12,886 | 27d14d2518e1fced23952ca7e8224b48816d9657 | #
# classifiers.py
# define classifiers as basis for Neighborhood Graph Analysis
#
# Copyright (c) 2018 Wesley Reinhart.
# This file is part of the crayon project, released under the Modified BSD License.
from __future__ import print_function
import _crayon
import numpy as np
class Classifier:
R""" abstract cla... |
12,887 | 4c1a751d59046189ee999b2d7b6d20dcd28b12c3 | from evdev import InputDevice
from select import select
dev = InputDevice('/dev/input/event0') # This can be any other event number. On my Raspi it turned out to be event0
while True:
r,w,x = select([dev], [], [])
for event in dev.read():
# The event.code for a scroll wheel event is 8, so I do the... |
12,888 | 2a53702620c887bbeaa459346af6fcd42dbd48ac | # Create your views here.
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from feed.models import JsonFeeds
from rest_api.serializer import FeedSerializer
from datetime import datetime
from rest_framework import permissions
@api_view(['... |
12,889 | d0d18f5395040fba9f1294814dd8a67936d4a455 | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField
from wtforms.validators import InputRequired, Length, Email
class LoginForm(FlaskForm):
name = StringField('name', validators=[InputRequired(message='Please enter a name'),Length(min=5)])
password = PasswordField('pass', validators... |
12,890 | 74a2101351c155f40b6a0018a45d63df7ec32987 | # -*- coding: utf-8 -*-
# Conventions are according to NumPy Docstring.
"""
n! means n * (n − 1) * ... * 3 * 2 * 1
For example, 10! = 10 * 9 * ... * 3 * 2 * 1 = 3628800,
and the sum of the digits in the number 10! is 3 + 6 + 2 + 8 + 8 + 0 + 0 = 27.
Find the sum of the digits in the number 100!
"""
import time
impor... |
12,891 | adaefd6068a1d558f79d0badc920d14fed4b745b | from selenium import webdriver
from selenium.webdriver.common.by import By # 选择器
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
import time
browser = webdriver.Chrome()
wait_obj = WebDriverWait(browser, timeout=5) # 产生一个等待对象，固定最大等待时间
try:
... |
12,892 | 90f96a17a8c1b8dca11176d33468c8d6425aa361 | __author__ = 'student'
import cv2
import numpy as np
from detector_node import getHistParams
import pickle
def draw_mask(event,x,y,flags,param):
global frame,drawing,img,mask
samplesize = 100
if (event == cv2.EVENT_LBUTTONDOWN):
img = np.copy(frame)
w,h,c=img.shape
mask = np.zeros((... |
12,893 | c087f63b6e922734f80d0ab1345e610dd810539e | import sqlite3
conn=sqlite3.connect('shopDb.db', timeout=10);
chooseDb=conn.cursor();
if(conn):
print('Baglanti Başarılı!')
else:
print('Bağlantı Başarısız!')
def registerPage():
print('--REGISTER PAGE---\n');
print('Name: ');
userName=input();
print('Surname: ');
userSurname=input();
... |
12,894 | c6a456476b8c18af989eba0b72acc8e014bd4dec | class PID:
error = 0
cumErr = 0
derErr = 0
def __init__(self, Kp, Ki, Kd):
self.Kp = Kp
self.Ki = Ki
self.Kd = Kd
def control(self,desired,mesured,controlTarget):
olderr = self.error
self.error = desired - mesured
self.derErr = self.error - olde... |
12,895 | 86e522dbe54bdd414f9537062925c6a1906c15e6 | import sys
import os
from dotenv import load_dotenv
from pathlib import Path
basedir = os.path.dirname(os.path.abspath(__file__))
env_path = Path(os.path.join(basedir, ".")) / '../.env'
load_dotenv(dotenv_path=env_path)
prevdir = basedir[:basedir.rfind('/')]
sys.path.append(basedir)
sys.path.append(prevdir)
def is_l... |
12,896 | 718f88433e67abfa8379fbc539ee7199d81dbb67 | #! /usr/bin/env python3 -b
# extract markdown documentation from cpp
# complete hack
class Item:
def __init__(self):
self.name = ''
self.decl = ''
self.comment = ''
self.type = ''
self.children = []
def make_doc(cpp, first_only=False):
# comment blocks
items = []
... |
12,897 | eb1c147a0e08e674936080bc59b8ed0569804b1e | import cv2 # after installing opencv
# now time for loading image
# if u want to connect camera --
cap=cv2.VideoCapture(0) # define camera
# start / on
while True:
status_camera,img=cap.read() # start camera to take picture
print(type(img))
cv2.rectangle(img,(0,200),(100,400),(255,0,... |
12,898 | 68261306975633e2528cfd37e7a206929c84a099 | #!/usr/bin/env python
# coding=utf-8
familiar_person = {'first_name':'Kobe','last_name':'Bryant','age':31,'city':'Los Angeles'}
print(familiar_person['first_name'])
print(familiar_person['last_name'])
print(familiar_person['age'])
print(familiar_person['city'])
|
12,899 | c263c95f105601ea9bcf0c554b08ade02dcc4b4f | import re
def parse_ranges(string):
"""takes a string ,eg: '1-5, 20, 30->exit'"""
p = re.compile(r'(?P<start>\d+)-?(?P<end>\d+)?')
match = re.finditer(p, string)
ls = list()
for m in match:
begin = int(m.group('start'))
end = int(m.group('end'))+1 if m.group('end') is not None els... |
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