content stringlengths 5 1.05M |
|---|
import praw
import logging
import argparse
from distutils.dir_util import mkpath
from praw.helpers import submission_stream
from crawler_utils import save_submission
def get_as_much_stuff_as_possible(storage_dir):
mkpath(storage_dir, mode=0755)
r = praw.Reddit(user_agent='SearchingReddit project 0.2 by /u/god... |
# This program is free software; you can redistribute it and/or modify
# it under the terms of the (LGPL) GNU Lesser General Public License as
# published by the Free Software Foundation; either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will b... |
"""Algorithms for indexing."""
import numpy as np
from recordlinkage.measures import max_pairs
def _map_tril_1d_on_2d(indices, dims):
"""Map 1d indices on lower triangular matrix in 2d. """
N = (dims * dims - dims) / 2
m = np.ceil(np.sqrt(2 * N))
c = m - np.round(np.sqrt(2 * (N - indices))) - 1
... |
from tinder.v3.auth.sms import SMSUser
from tinder.v2.auth.facebook import FBUSer
if __name__ == '__main__':
# v3 SMS authentication
user = SMSUser('phone', email='email')
user.login()
matches = user.all_matches()
# v2 FB authentication, not tested
user = FBUSer('fb email', 'fb pas... |
#coding=utf-8
'''
Challenges Set 1 Challenge 6 Break repeating-key XOR
原理：这篇blog解析得很详细：https://www.anquanke.com/post/id/161171'''
import base64
import Challenge3
import Challenge5
'''计算汉明距离'''
def hamming_dis(str1, str2):
dis = 0
for i,j in zip(str1, str2):
dis = dis + bin(ord(i) ^ ord(j)).count... |
"""
pusher
module to handle WebPush subscriptions
Generate private and public keys via py_vapid,
install py-vapid (pypi),
vapid --gen
generates private and public keys,
vapid --applicationServerKey
generates application server key for frontend
"""
import os
import json
from pywebpush i... |
"""
Created on November 19, 2020
@author: Xinchao Song
"""
import os
from gym import spaces
import numpy as np
import pybullet as p
from .env import AssistiveEnv
class MaskPlacingEnv(AssistiveEnv):
def __init__(self, robot_type='pr2', human_control=False):
super(MaskPlacingEnv, self).__init__(robot_type... |
from . import solution_a
from . import solution_b
|
import numpy as np
from numpy import pi
import tensorflow as tf
class Particle_Tracking_Training_Data(tf.Module):
def __init__(self, Nt, rings=True):
self.Nt = int(Nt)
self.Ny = self.Nx = 256
self.d = 3
ximg = [[[i, j] for i in np.arange(self.Ny)]
for j in np.arange(self... |
def is_isogram(string):
return len(set([i for i in string.lower()])) == len(string) |
# -*- coding: utf-8 -*-
__title__ = 'Bridge Markup Language'
__package_name__ = 'bridge-markup'
__author__ = "Erik Sjöstrand, Gert-Jan Paulissen"
__description__ = ' '.join('''
Bridge Markup Language for creating bridge (card game) bidding documents.
'''.strip().split())
__email__ = "gert.jan.paulissen@gmail.com"
__ver... |
import sys
def find(strng, ch, start=0, end=None):
ix = start
if end is None:
end = len(strng)
while ix < end:
if strng[ix] == ch:
return ix
ix += 1
return -1
def test(did_pass):
""" Print the result of a test. """
linenum = sys._getframe(1).f_lineno # Ge... |
from wordsapy import Dictionary
dictionary = Dictionary(api_key='')
# More details: https://www.wordsapi.com/docs/#get-word-details
# Definitions
results = dictionary.definitions('example')
for result in results:
print('Definition: ' + result.definition)
print('Part of speech: ' + result.partOfSpeech)
# Syn... |
"""
Exercise: Regularization
@auth: Yu-Hsiang Fu
@date: 2018/09/20
"""
# --------------------------------------------------------------------------------
# 1.Import packages
# --------------------------------------------------------------------------------
import copy
import matplotlib.pyplot as plt
import numpy as np... |
import sys
import copy
import time
from random import *
marker = "=================================="
splitter = '================================================================================================'
selects = ['是', '否']
maxBlood = 100
initKill = 0
warningBlood = 50
initSight = 0.7
levelSight = 0.05
footNa... |
from evo_gym import error
from evo_gym.wrappers.monitor import Monitor
from evo_gym.wrappers.time_limit import TimeLimit
from evo_gym.wrappers.filter_observation import FilterObservation
from evo_gym.wrappers.atari_preprocessing import AtariPreprocessing
from evo_gym.wrappers.rescale_action import RescaleAction
from ev... |
from collections import Counter
def _calc_gc_content(sequence):
bases = Counter(sequence)
return sum(bases.get(x, 0) for x in ["G", "C", "g", "c"]) / sum(bases.values())
def _convert_contig_set(contig_set):
total_len = 0
total_gc = 0
contigs = {}
for v in contig_set['contigs']:
gc = ... |
import argparse
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
SAC = {
"Hopper-v2": [
"extra/multistep/SAC_online_n_1_Hopper-v2_1_20210907092100/evaluation.csv",
"extra/multistep/SAC_online_n_1_Hopper-v2_2_20210907121407/evaluation.csv",
... |
class Starrable:
"""
Represents an object that can be starred.
"""
__slots__ = ()
_graphql_fields = {
"stargazer_count": "stargazerCount",
"viewer_has_starred": "viewerHasStarred",
}
@property
def stargazer_count(self):
"""
The number of stars on the st... |
import sys
sys.setrecursionlimit(10 ** 5)
def solve(s, start, end):
if start > end:
return 0
if start == end:
return 1
if s[start] == s[end]:
return solve(s, start + 1, end - 1) + 2
else:
left = solve(s, start, end - 1)
right = solve(s, start + 1, end)
... |
""" Vamos criar algumas visualizações sobre o periodo eleitoral do pais """
import pandas as pd
import streamlit as st
from opcao_grafico import visualiza_grafico
from opcao_tabela import visualizar_tabela
# Configurações do streamlit para a pagina web
st.set_page_config(
page_title="Eleições no Brasil",
pag... |
import bpy
bpy.ops.object.select_all()
bpy.ops.object.delete()
|
from django.test import TestCase
from django.contrib.auth import get_user_model
class ModelTests(TestCase):
def test_create_user_with_email_successful(self):
"""Test creating a user with an email is successful"""
email = "testfrom@app.com"
password = "TestPass123"
user = get_user_... |
#
# PySNMP MIB module SFA-INFO (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SFA-INFO
# Produced by pysmi-0.3.4 at Mon Apr 29 20:53:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:1... |
"""File save and sort players."""
# In this code Each player should be able to select a name for themself.
# A player should be able to change their name.
def open_filewrite(player1, player2):
"""Write player and points to file."""
with open('PigHighscores.txt', 'a') as file:
file.write(str(player1[0]... |
class Employee:
increament = 1.5
employeePopulation = 0
# CONSTRUCTOR :
def __init__(self, name, job, age): # self is necessary !
self.name = name
self.job = job
self.age = age
self.increament = 2
Employee.employeePopulation +=1 # count no. of objects
d... |
import torch
from torch import nn
from torch.autograd import Variable
def get_rmse_log(model, feature, label, use_gpu):
model.eval()
mse_loss = nn.MSELoss()
if use_gpu:
feature = feature.cuda()
label = label.cuda()
feature = Variable(feature, volatile=True)
label = Variable(label, ... |
from random import *
import lcm
from lilylcm import L06Depth
from lilylcm import L07Humidity
from lilylcm import L08Temperature
from lilylcm import L14LEDs
from lilylcm import L16ChargerCommand
from lilylcm import L19DockCommand
from lilylcm import pod_data_t
lc = lcm.LCM()
msg6 = L06Depth()
msg7 = L07Humidity()
msg... |
#!/usr/bin/env python
"""WB-8618: warn the user if they are using a local key to log in to cloud"""
import pytest
import wandb
import wandb.errors
if __name__ == "__main__":
# api_key starts with "local", but base_url points to cloud
with pytest.raises(wandb.errors.UsageError) as e:
wandb.login(key="... |
import gcsfs
import torch
from torch import nn
if __name__ == '__main__':
m = nn.AdaptiveAvgPool3d((1,1,1))
input = torch.randn(1, 64, 10, 9, 8)
print(input.shape)
output = m(input)
print(output.shape)
output = output.view(-1, 64)
print(output.shape) |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
'''
Copyright (C) 2013-2018 Diego Torres Milano
Created on 2018-03-29 by Culebra v15.0.1
__ __ __ __
/ \ / \ / \ / \
____________________/ __\/ __\/ __\/ __\_____________________________
___________________/ ... |
# !/usr/bin/env python
__version__ = "1.0.0"
from distutils.core import setup
setup(
name='artapi',
version=__version__,
description='Library that helps working with Art-Api service',
author='Artifacts Team',
author_email='service@artifacts.io',
url='https://github.com/artifactsofresearch/djan... |
# Some notes on reading an article on static analysis:
# https://deepsource.io/blog/introduction-static-code-analysis/
'''
# Hello world example
import io
import tokenize
str1 = b"This is string one"
str2 = b"This is string two"
str1_upper = str1.upper()
str2_upper = str2.upper()
for input_str in ... |
def função_a():
return ...
def função_b():
return função_a()
def função_c():
return função_b()
def função_d():
return função_c()
breakpoint()
função_d()
print('FIM!')
|
# ------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -------------------------------------------------------------------... |
import sys
import os
from pathlib import Path
import shutil
if len(sys.argv) != 2:
print("Please provide the location of the aws-models repository as the first argument")
sys.exit(1)
aws_models = sys.argv[1]
for model in os.listdir("aws-models"):
if not model.endswith('.json'):
continue
model... |
import torch
from torch.cuda import amp
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from scipy.stats import truncnorm
import pandas as pd
import numpy as np
from tqdm import tqdm
import os
import copy
from torch.nn.functional import adaptive_avg_pool2d
from metrics.vgg... |
from gitlab.base import RequiredOptional, RESTManager, RESTObject
from gitlab.mixins import GetWithoutIdMixin, SaveMixin, UpdateMixin
__all__ = [
"NotificationSettings",
"NotificationSettingsManager",
"GroupNotificationSettings",
"GroupNotificationSettingsManager",
"ProjectNotificationSettings",
... |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... |
# -*- coding: utf-8 -*-
# @Author: Kai Shen
# @Created Time: 2022/2/23 10:28 AM
# @Organization: YQN
# @Email: mlshenkai@163.com
import torch.nn as nn
import torch.nn.functional as F
class LabelSmoothingCrossEntry(nn.Module):
def __init__(self, eps=0.1, reduction="mean", ignore_index=-100):
super(LabelSmo... |
import sys
import os.path
from catframes.fix_resolution import process
from catframes.to_video import ToVideoConverter
from catframes.version import version
from multiprocessing import Pool
from catframes.utils import *
usage = """
Catframes can resize all images in the current directory
to the same size and then con... |
from django.db import models
import os
import random
from PIL import Image
# Create your models here.
def get_filename_ext(filepath):
base_name = os.path.basename(filepath)
name, ext = os.path.splitext(base_name)
return name, ext
def upload_image_path(instance, filename):
# print(instance)
#prin... |
import asyncio
import importlib
from datetime import datetime
import aiohttp.web
import click
import bottery
from bottery.conf import settings
from bottery.log import Spinner
class Bottery:
_loop = None
_session = None
_server = None
# This is a feature trial, do NOT rely your application on it
... |
from accounts.models import Accounts
from django.contrib.auth.hashers import make_password
from permissions.serializer.permission_serializer import PermissionModelSerializer
from rest_framework import serializers
class AccountModelListSerializer(serializers.HyperlinkedModelSerializer):
username = serializers.Char... |
#!/usr/bin/env python3
import configparser
import os
import subprocess
import sys
from git import Repo
class Deploy:
def __init__(self, path):
self.path = path
self.path_deploy_cfg = '{path}/deploy.cfg'.format(path=path)
self.path_deploy_common_cfg = '{path}/deploy-common.cfg'.format(p... |
from abc import ABC
from datetime import datetime
from .notifier import Notifier
from .async_notifier import AsyncNotifier, MetaDelayedNotifier
from .segment_locmem_client import SegmentLocMemClient
class SegmentNotifier(Notifier, ABC, metaclass=MetaDelayedNotifier):
__slots__ = ('timestamp', 'user', )
clien... |
from sqlalchemy import Column, Integer, String, DateTime, Text
from database.database_connection import database_engine as engine
from datetime import datetime
class UserReport(engine.Model):
__tablename__ = "users_reports"
id = Column(Integer, primary_key=True)
username = Column(String(36))
creator... |
import subprocess
subprocess.run('pip install -r requirements.txt', shell=True, capture_output=True)
from scripts.dupl_image_finder import *
import os
import string
import os.path
import random
import argparse
from tqdm import tqdm
import pandas as pd
import numpy as np
import cv2 as cv
import shutil
from ... |
import importlib
_module = importlib.import_module("utils")
func = getattr(_module, "assignmentString")
print(func("name","shady"))
|
from .header_helpers import get_span_and_trace # noqa: F401
|
import os
import random
import matplotlib
import numpy as np
matplotlib.use("pdf")
import matplotlib.pyplot as plt
from sklearn import linear_model
from paper_figures.legacy.experimental_config import *
def ICDE_get_data_file(g_name, number_of_updates):
return ICDE14_DIR + g_name + "_%d.txt" % number_of_update... |
#!/usr/bin/env python3
""" Copyright © 2020-2021 Borys Olifirov
Toolkit.
- Function for series analysis:
alex_delta
series_point_delta
series_derivate
- Function for image preprocessing:
back_rm
mask_point_artefact
Optimised at confocal images of HEK 293 cells.
"""
import os
import logging
import numpy a... |
import json
from pprint import pprint
from ParseGTF import *
import argparse
import sys
gtffile = ''
matrixfile = ''
jsonfile = ''
#opts, args = getopt.getopt(sys.argv[1:],"hi:o:",["ifile=","ofile="])
parser = argparse.ArgumentParser(description='Quantification Counter')
parser.add_argument('-g', action="s... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#Data Source
import yfinance as yf
import time, datetime
from datetime import datetime
stock = 'NVEI.TO'
#Interval required 5 minutes
StartBal = 100
TL = 0
TT = 0
Bought = 0
TStop = 0
TB = 0
TS = 0
data = yf.download(tickers=stock, period='5d', int... |
#
# spyne - Copyright (C) Spyne contributors.
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This libra... |
#!/usr/bin/env python3
import csv
import json
import urllib.request
INDEX_URL = 'https://petition.parliament.uk/archived/petitions.json'
ONS_CODES_URL = 'https://petition.parliament.uk/archived/petitions/131215.json'
def fetch_json(petition_url):
return json.load(urllib.request.urlopen(petition_url))
def parse_... |
from modules import base
import torch
from torch import nn
import math
filters_84x84 = [
[16, [8, 8], 4],
[32, [4, 4], 2],
[256, [11, 11], 1],
]
filters_42x42 = [
[16, [4, 4], 2],
[32, [4, 4], 2],
[256, [11, 11], 1],
]
#same architecture as rllib
class ConvNet(nn.Module):
def __init__(sel... |
import pandas as pd
import numpy as np
# import sklearn
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.model_selection import train_test_split
#matplotlib
import matplotlib.pyplot as plt
# libraries used for train test split
import random
from math import floor
from types import SimpleNam... |
# Python - lab 8
# var 7
# Group 2
# 4/11/2019
__doc__ = """
The simplest Python interpreter ever
See more at https://vadimcpp.ru/python/laba8.html
This is Backus–Naur form
Syntax:
<expression> ::= <digit>|<expression><operation><digit>
<operation> ::= +|-
<digit> ::= 1|2|3|4|5|6|7|8|9
"""
class InterpretError(Ex... |
# EJERCICIO:
# Modifique la lista de nodos adyacentes para usar conectividad ocho
# en lugar de conectividad 4
adjacents = [[1,0],[0,1],[-1,0],[0,-1]]
#adjacents= [[1,0],[0,1],[-1,0],[0,-1],[1,1],[-1,1],[-1,-1],[1,-1]]
|
import doctest
from zope.interface import implementer
from zope.publisher.interfaces.browser import IDefaultBrowserLayer
from zope.publisher.interfaces.browser import IBrowserRequest
from ZPublisher import Retry
from ZODB.POSException import ConflictError
class Tracer(object):
"""Trace used to record pathway tak... |
from backend.externals.external_aws_client import ExternalAwsClient
from backend.models import Resource
from backend.models.resource.ec2 import AmiImage
import uuid
class Ec2(ExternalAwsClient):
NARUKO_AMI_NAME = 'NARUKO-{id}-{random}'
NARUKO_AMI_NAME_PREFIX = 'NARUKO-{id}-'
def _service_name... |
#!d:\afood\food_bank_management_system_in_django_framework\foodbank\virt\scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
|
from flask_sqlalchemy import SQLAlchemy
from flask_redis import FlaskRedis
from flask_migrate import Migrate
# from flask_rq2 import RQ
from rq import Queue
from morphocut_server.worker import redis_conn
database = SQLAlchemy()
redis_store = FlaskRedis()
migrate = Migrate()
redis_queue = Queue(connection=redis_conn)... |
import sys
with open(sys.argv[1]) as fin:
features = {}
for line in fin:
seg = line.strip('\r\n').split('\t')
if int(seg[2])>=2:
if seg[0] in features:
print(seg[0], seg[1], features[seg[0]])
features[seg[0]] = seg[1]
|
# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... |
import numpy as np
import pickle
import os.path
import csv
import torch
import torch.optim as optim
class BaseAgent(object):
def __init__(self, config, env, log_dir='/tmp/gym', tb_writer=None):
self.model=None
self.target_model=None
self.optimizer = None
self.log_dir = log_dir
... |
# Copyright 2013 University of Maryland. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE.TXT file.
import sys
import os
import time
from selenium.common.exceptions import NoAlertPresentException
import framework
class Exploit (framework.Exploit... |
"""
Solution to https://adventofcode.com/2020/day/14
"""
from itertools import chain, combinations
from collections import namedtuple
Instruction = namedtuple("Instruction", ["type", "value", "address"])
def _highest_power_of_two(val, max_power=36):
for power in range(max_power + 1):
if 2 ** power > va... |
# -----------------------------------------------------------
# Test composing transformations.
#
# (C) 2020 Kevin Schlegel, Oxford, United Kingdom
# Released under Apache License, Version 2.0
# email kevinschlegel@cantab.net
# -----------------------------------------------------------
import numpy as np
from psfdata... |
#!/usr/bin/python3
# Limbo file sharing (https://github.com/kolomenkin/limbo)
# Copyright 2018-2022 Sergey Kolomenkin
# Licensed under MIT (https://github.com/kolomenkin/limbo/blob/master/LICENSE)
#
import json
import logging
import mimetypes
import os
import sys
import urllib
from time import time
from typing import A... |
#!/usr/bin/env python3
# Copyright (c) 2018, Palo Alto Networks
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" A... |
class FakeOAIPMHData:
fake_xml_record = """<?xml version="1.0"?>
<arXiv xsi:schemaLocation="http://arxiv.org/OAI/arXiv/ http://arxiv.org/OAI/arXiv.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://arxiv.org/OAI/arXiv/">
<id>0704.0025</id>
... |
print("Hello World, Python!") |
class Solution:
def canCross(self, stones):
memo, stones, target = {}, set(stones), stones[-1]
def dfs(unit, last):
if unit == target: return True
if (unit, last) not in memo:
memo[(unit, last)] = any(dfs(unit + move, move) for move in (last - 1, last, last +... |
from flask_wtf import Form
from wtforms import PasswordField
from wtforms.validators import DataRequired
class ChangePasswordForm(Form):
newPassword = PasswordField('New Password', validators=[DataRequired()])
confirmNewPassword = PasswordField('Confirm New Passwrd', validators=[DataRequired()])
oldPassw... |
#!/usr/bin/env python3
import argparse
import functools
import logging
import os
import subprocess
logging.basicConfig(level=logging.INFO)
@functools.lru_cache(1024)
def get_package_info(package):
logging.info('Run `pip show %s`', package)
package_info_lines = subprocess.check_output(['pip', 'show', packag... |
# =============================================================================
# Copyright 2020 NVIDIA. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://ww... |
import io
from flask import Flask, render_template, request, make_response, send_file
import time
try:
from src.rover import Rover
import picamera.array
import picamera
except ImportError as e:
print(e)
raise e
app = Flask(__name__)
rover = Rover()
try:
# Picamera setup
cam_resolution = (2... |
import json as Gson
import sys
def extract_argv(list_args: list) -> dict:
assert type(list_args) == list, "le parametre listArgs doit etre une liste"
return dict(map(lambda e: tuple(e.split("--")[1].split("=")), list_args))
if __name__ == "__main__":
finalData = []
params = None
try:
par... |
## Arruma duplicidade do C491 e C495
##
##
def exec(conexao):
cursor = conexao.cursor()
print("RULE 04 - Inicializando",end=' ')
for c in ["C491","C495"]:
#pega o r0 do C490
temp = cursor.execute("select r0 from principal where r1 = \"C490\"")
temp = temp.fetchall()
rs... |
import typing
from datetime import date
from decimal import Decimal
from typing_extensions import Literal
import pydantic
import stackprinter
stackprinter.set_excepthook(style="darkbg2")
from crypto_dom.kraken.definitions import (
TIMEFRAMES,
TIMESTAMP_S,
COUNT,
ORDERID,
TRADEID,
ORDERSTATUS,
... |
from django.shortcuts import render
# Create your views here.
def home(request):
context = {}
return render(request, 'website/home.html', context)
def products(request):
context = {}
return render(request, 'website/products.html', context)
def people(request):
context = {}
return render(r... |
from .state import * # NOQA
from .decorators import * # NOQA
|
# -*- coding: utf-8 -*-
"""
datagator.api.client.environ
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: 2015 by `University of Denver <http://pardee.du.edu/>`_
:license: Apache 2.0, see LICENSE for more details.
:author: `LIU Yu <liuyu@opencps.net>`_
:date: 2015/02/03
"""
from __future__ import uni... |
from .calc_read_noise import *
from .calc_velocity import *
from .ccd_offset import *
|
'''
Copyright (c) 2021-2022 OVGU LIA
Author: Harish Kumar Pakala
This source code is licensed under the Apache License 2.0 (see LICENSE.txt).
This source code may use other Open Source software components (see LICENSE.txt).
'''
import json
import requests
url = "http://192.168.178.23/api/v1/registry/OVGU_LIA_Requeste... |
"""
Command line entry point for the script.
"""
import argparse
import logging
import logging.config
import pkg_resources
import sys
from timesync.subcommands import task_assignments, process
from timesync.utils import configuration
from ruamel.yaml import YAML
from ruamel.yaml.parser import ParserError as YAMLPars... |
# Copyright (c) 2022, Chair of Software Technology
# All rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
#
# - Redistributions of source code must retain the above copyright notice, this list of conditi... |
#!/usr/bin/env python3
""" Stop Watch Program
A stopwatch object that records the number of times the watch has been started
until it is reset.
"""
from stopwatch import Stopwatch
class CountingStopwatch(Stopwatch):
""" A stopwatch obj inheriting from Stopwatch """
def __init__(self):
super(Count... |
class WriteIsoSurfaces:
def __init__(self, properties, file_manager):
self.file_manager = file_manager
self.properties = properties
def write_iso_surfaces(self):
file_id = self.file_manager.create_file('system/include', 'isoSurfaces')
self.file_manager.write_header(file_id, 'dic... |
from unittest import IsolatedAsyncioTestCase
from fastapi_framework import redis_dependency, Redis
from fastapi_framework.settings import SettingsModel, Settings
from fastapi_framework.database import database_dependency, DB, select
class TestSettings(IsolatedAsyncioTestCase):
async def test_settings_set(self):
... |
import argparse
import logging
import os
from string import Template
from typing import Set
from leetcode_export._version import __version__
from leetcode_export.leetcode import LeetCode
def parse_args():
parser = argparse.ArgumentParser(description='Export LeetCode solutions')
parser.add_argument('--cookies... |
import haversine as hs
import osmnx as ox
def min_latitude(coordinates):
"""
This function returns the minimum value of latitude
of a list with tuples [(lat, lon), (lat, lon)].
:param coordinates: list
list with tuples. Each tuple
has coordi... |
from .heartbeat import Heartbeat
from .monitor import Monitor
|
import sys
import os
from sys import getsizeof
sys.path.append(os.path.abspath("."))
import pyctlib
from pyctlib.classfunc import save_args
class A:
def __init__(self, a, b):
save_args(vars())
a = A(1, 2)
|
import requests,re,sys
from ics import Calendar, Event
from datetime import datetime
from bs4 import BeautifulSoup
'''
contains all information related to pokemon distribution event
'''
class Pokemon:
def __init__(self):
self.name = None
self.description = None
self.type = None
se... |
from aoc import AOC
import re
aoc = AOC(year=2020, day=14)
data = aoc.load()
# Part 1
mask = "X" * 36
memory = {}
for line in data.lines():
if line[:4] == "mask":
mask = line[7:]
continue
mem, val = [int(x) for x in re.search(r"mem\[(\d+)\] = (\d+)", line).groups()]
memory[mem] = int(
... |
import pandas as pd
import sqlite3
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
class Restaurant:
def __init__(self, max_price, people, min_price, cuisine, locality, favourite_restaurant=""):
self.max_price = max_price
... |
""" These classes are to help deal with ranged data
things associated with those coordinates. """
import sys, re
from collections import namedtuple
class Locus:
"""A Locus is a colloction of GenomicRanges that fall
within some distance of one another"""
def __init__(self):
self.range = None
self.... |
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