content stringlengths 5 1.05M |
|---|
import pytest
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from openslides.core.config import config
from openslides.motions.models import (
Category,
Motion,
MotionBlock,
MotionChangeRecommend... |
# -*- coding: utf-8 -*-
from django.contrib.admin import site
from bviewer.profile.admin import profile
from bviewer.core.models import Album
from bviewer.profile.admin import ProfileModelAdmin
from bviewer.slideshow.models import SlideShow
class SlideShowAdmin(ProfileModelAdmin):
list_select_related =... |
import pickle
import random
if __name__ == '__main__':
with open("comp_strategy.pkl", "rb") as pkl_file:
strategy = pickle.load(pkl_file)
# Assuming (1, 1) is initial state of dfa
print(strategy[((2, 1, 4), (1, 1))])
print(strategy[((2, 1, 3), (1, 1))])
# for key in strategy.keys():
# ... |
import random
from math import exp, log, sqrt
from typing import List, Tuple
Tensor2D = List[List[float]]
Shape2D = Tuple[int, int]
def matrix_multiply(A: Tensor2D, B: Tensor2D) -> Tensor2D:
A_shape = shape(A)
B_shape = shape(B)
assert A_shape[1] == B_shape[0], \
"matrix shapes {} and {} are inco... |
# Author: Prabhu Ramachandran
# Copyright (c) 2008, Enthought, Inc.
# License: BSD Style.
|
from pycoin.networks.bitcoinish import create_bitcoinish_network
network = create_bitcoinish_network(
symbol="BTX", network_name="BitCore", subnet_name="mainnet",
wif_prefix_hex="80", sec_prefix="BTXSEC:", address_prefix_hex="03", pay_to_script_prefix_hex="7D",
bip32_prv_prefix_hex="0488ADE4", bip32_pub_pr... |
from .abfn_neck import ABFNNeck
from .abfn_neck_scale import ABFNNeckScale
from .abfn_neck_spatial import ABFNNeckSpatial
from .abfn_neck_scale_spatial import ABFNNeckScaleSpatial
__all__ = ['ABFNNeck', 'ABFNNeckScale', 'ABFNNeckSpatial', 'ABFNNeckScaleSpatial']
|
# -*- coding: utf-8 -*-
import numpy as np
import sympy as sp
def get_Slm(l, m):
"""
return the sympy real solid harmonic gaussian S_{lm}(r)
as presented in table 6.3 of Helgaker, Jørgensen and Olsen
(page 211)
"""
x,y,z = sp.symbols("x y z")
r = sp.sqrt(x**2 + y**2 + z**2)
... |
class RevisionSettings(Element,IDisposable):
""" Provides access to project-wide settings related to revisions. """
def Dispose(self):
""" Dispose(self: Element,A_0: bool) """
pass
def GetAlphanumericRevisionSettings(self):
"""
GetAlphanumericRevisionSettings(self: RevisionSettings) -> AlphanumericRev... |
from rest_framework import serializers
from training import models
class SetSerializer(serializers.ModelSerializer):
"""
Serializer for Set object
"""
class Meta:
model = models.Set
fields = (
'id', 'user_id', 'exercise',
'reps', 'reps_unit', 'weight',
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import os
import xml.etree.ElementTree as ET
from logzero import logger
from pathlib import Path
def getPathToVivado()->Path:
with open(os.path.expanduser("~/.vivado_hls_create_project")) as f:
return Path(json.load(f)["path_to_vivado"])
def get... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^price-catalog/$', views.price_catalog, name="price-catalog"),
url(r'^price-catalog/(?P<service_type>[^\/]*)/$', views.all_prices, name="all-prices"),
url(r'^price-catalog/(?P<service_type>[^\/]*)/(?P<page>\d+)/$', views.all_prices,... |
from functools import partial
from urllib.parse import urlencode
from geopy.exc import GeocoderServiceError
from geopy.geocoders.base import DEFAULT_SENTINEL, ERROR_CODE_MAP, Geocoder
from geopy.location import Location
from geopy.util import logger
__all__ = ("Geokeo", )
class Geokeo(Geocoder):
"""Geocoder usi... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(
r'^(?P<username>[\w.@+-]+)/$', views.profile, name="profile"),
]
|
import json
from kraken.core.maths import *
vec3 = Vec3()
vec3.x = 3.0
print "vec3:" + str(vec3)
print "length:" + str(vec3.length())
vec3 = Vec3(1.0, 0.0, 2.0)
print "vec3:" + str(vec3)
print "length:" + str(vec3.length())
print "clone:" + str(vec3.clone())
vec1 = Vec3()
vec2 = Vec3(0, 1, 0)
print "equal:" + str(... |
import click
def universal_options(f):
"""Options required by every command."""
f = click.option('--genotype', type=click.Path(exists=True),
required=True, help='Genotype file path.')(f)
f = click.option('--verb', is_flag=True)(f)
return f
def param_options(f):
"""Options to... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
largest = None
smallest = None
while True:
snum = input("Enter a number: ")
if snum == "done" :
break
try :
inum = int(snum)
except:
print('Invalid input')
continue
if largest is None or inum > largest :
largest =... |
#
# PySNMP MIB module NOVELSAT-COMMON-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NOVELSAT-COMMON-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:24:14 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... |
#!/usr/bin/env python
import sys
import random
import time
import numpy as np
import xbox
import BlinkyTape as bt
# COLORS
class Col(object):
BLACK = (0, 0, 0)
CYAN = (0, 189, 189)
GREEN = (0, 255, 0)
ORANGE = (255, 80, 0)
RED = (255, 0, 0)
WHITE = (255, 255, 255)
YELLOW = (255, 200, 0)
... |
class Card(object):
def __init__(self, number):
"""
Three attributes:
Value is 1->A, 2->2, ... 10->10, 11->Jack, 12->Queen, 13-> King
Type is 1->Spades, 2->Hearts, 3->Diamonds, 4->Clubs
point is A->4, King->3, Queen->2, Jack->1
"""
self.value ... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from modules.logging import logging_decorator
from telegram.ext import PrefixHandler
from datetime import datetime
from zalgo_text import zalgo
def module_init(gd):
commands = gd.config["commands"]
for command in commands:
gd.dp.add_handler(PrefixHandler("... |
import tensorflow as tf
import numpy as np
import scipy.misc
import threading
from torch.utils.tensorboard import SummaryWriter
try:
from StringIO import StringIO # Python 2.7
except ImportError:
from io import BytesIO # Python 3.x
class Logger:
def __init__(self,
log_interval=50,
... |
#!/usr/bin/env python
# coding: utf-8
# # Collaboration and Competition
#
# ---
#
# In this notebook, you will learn how to use the Unity ML-Agents environment for the third project of the [Deep Reinforcement Learning Nanodegree](https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893) program.
... |
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... |
# Generated by Django 2.1.2 on 2018-10-31 15:17
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='CatalogType',
fields=[
('id', models.AutoFi... |
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from torch.utils import model_zoo
from torchvision import models
class SegNetEnc(nn.Module):
def __init__(self, in_channels, out_channels, num_layers):
super().__init__()
layers = [
nn.Ups... |
from django.urls import resolve
def appname(request):
return {'app_name': resolve(request.path).app_name} |
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
import sys
from os import path
from setuptools import setup
sys.path.insert(0, path.join(path.curdir, 'lib'))
from tsdesktop import version
desc = """tsadm desktop client - docker based environments for running web sites locally"""
install_requires = [
'bottle>=0... |
#import sys, os, serial, time,re,datetime
#import matplotlib.pyplot as plt
#import numpy as np
from tkinter import ttk
import tkinter as tk
from PIL import ImageTk, Image
''''********Global Variables**********'''
picname='default.png'
#This function gets a picture and puts it in a format that can be stuck in a label... |
import os
import typing as T
import warnings
import fsspec # type: ignore
import numpy as np
import pandas as pd # type: ignore
import rioxarray # type: ignore
import xarray as xr
from xarray_sentinel import conventions, esa_safe
def open_calibration_dataset(calibration_path: esa_safe.PathType) -> xr.Dataset:
... |
import pickle
import nltk
import numpy as np
import pandas as pd
import pymongo
from mongoengine import connect
from sklearn import metrics, preprocessing
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer, TfidfVectorizer
from sklearn.metrics import plot_confusion_matrix, accuracy_score
fro... |
# -*- coding: utf-8 -*-
from __future__ import division, absolute_import, print_function
import os
import datetime
import pytz
from decimal import Decimal
from django.core.files import File
from django.core.files.images import ImageFile
from django.db import models
from django.db.models.fields.files import FieldFile... |
"""
Example: Julia
-------
>>> import numpy as np
>>> from ChaosFunctions.fractals import FractalBuilder, julia_iter,\
>>> p0_julia
>>> ns, itermax, c = (1000, 1000), 100, complex(-0.768662, 0.0930477)
>>> limits = np.array([[-2., 2.], [-2., 2.]])
>>> fb = FractalBuilder(julia_iter, lambda x, y: p0_julia(x, y, c))... |
import os
from flask import Flask, request, jsonify
from flask_cors import CORS
from mollufy.mollufy import mollufy as mollufy_internal
server = Flask("mollufier")
CORS(server, origins=["*" if not "FE_DEPLOY_HOST" in os.environ else os.environ["FE_DEPLOY_HOST"]])
@server.route("/mollufy", methods=["POST"])
def molluf... |
#coding:utf-8
from __future__ import division
import xml.etree.cElementTree as ET
import os
from collections import Counter
import shutil
import numpy as np
import cv2
import pickle
import sys
import matplotlib.pyplot as plt
import pylab as pl
from sklearn.metrics import precision_recall_curve
from itertools import c... |
pkgname = "clang-rt-cross"
pkgver = "13.0.0"
pkgrel = 0
build_style = "cmake"
configure_args = [
"-DCMAKE_BUILD_TYPE=Release", "-Wno-dev",
f"-DCMAKE_INSTALL_PREFIX=/usr/lib/clang/{pkgver}",
"-DCOMPILER_RT_USE_BUILTINS_LIBRARY=YES",
# only build that target
"-DCOMPILER_RT_DEFAULT_TARGET_ONLY=ON",
... |
import base64
import json
import urllib
import httplib2
import socket
import time
import lib.logger
from lib.couchbase.document import DesignDocument, View
from lib.memcached.helper.kvstore import KVStore
from exception import ServerAlreadyJoinedException, ServerUnavailableException, InvalidArgumentException
from lib.m... |
import re
from modules.globals import Globals
from modules.pluginbase import PluginBase
class Plugin(PluginBase):
# plugin specific
def __init__(self):
super().__init__()
self.type = PluginBase.PluginType.UNCORE
self.name = 'Answers'
self.add_trigger('on_message', 'answer', T... |
# Библиотеки для сариализации
from rest_framework import serializers, viewsets
# Модели данных
from workprogramsapp.models import Profession, SkillsOfProfession, Role, SkillsOfRole
from dataprocessing.models import Items
# Другие сериализаторы
from dataprocessing.serializers import ItemSerializer
class SkillsOfPr... |
import numpy as np
import pandas as pd
#
from pyta.helper import highest, lowest, hlc3
from pyta.overlays.exponential_moving_average import exponential_moving_average as ema
# TODO incomplete
def chop_zone(h: pd.Series, l: pd.Series, c: pd.Series, n: int = 30, n_ema: int = 34):
period_high = highest(h, n)
per... |
import serial
from serial.tools import list_ports
import threading
import time
import datetime
from dynamikontrol.Protocol import Module2PC, PC2Module
from dynamikontrol.LED import LED
from dynamikontrol.BaseLED import BaseLED
from dynamikontrol.Motor import Motor
from dynamikontrol.Switch import Switch
from dynamiko... |
import numba as nb
import numpy as np
@nb.njit
def fast_intersection_append(xy, xz, yz, intersection):
for ii in range(len(xy)):
x, y_check, _ = xy[ii]
idx = np.where(xz[:, 0] == x)[0]
if len(idx) > 0:
for jj in range(len(idx)):
z = xz[idx[jj], 1]
... |
#!/usr/bin/python
#
# * Overview
#
# This short Python example illustrates how to build a simple PRTG custom sensor to monitor
# Pure Storage FlashArrays. The Pure Storage Python REST Client is used to query the FlashArray
# to get the basic performance counters.
#
# * Installation
#
# The script should be copied in... |
# Created by Ivan Matveev at 01.05.20
# E-mail: ivan.matveev@hs-anhalt.de
# Methods for image preprocessing
import cv2
import logging
logger = logging.getLogger('detect.pre_processing')
class PreprocessImg(object):
def __init__(self, config):
# Background subtraction parameters
self.bgs_method_... |
import serial
import logging
logging.basicConfig(level=logging.DEBUG)
port = '/dev/ttyUSB0'
class RobotHandler:
def init_bot(self, port):
try:
connection = serial.Serial(port, baudrate=115200, timeout=1)
print "Connected!"
except:
print "Failed."
global robot
... |
import sys
import os.path
sys.path.append(os.path.join(os.path.abspath(os.path.dirname(__file__))))
import os
import playbooks
from playbooks import infrastructure
playbook = playbooks.TaintNode(
infrastructure.KubernetesClient(),
os.environ.get('TAINT_KEY', 'falco/alert'),
os.environ.get('TAINT_VALUE', ... |
from asciimatics.widgets import Frame, Layout, Widget, Label, Text, TextBox
from asciimatics.scene import Scene
from asciimatics.screen import Screen
from asciimatics.event import KeyboardEvent
from asciimatics.exceptions import ResizeScreenError, StopApplication, NextScene
import sys
import os
PRICE = {
'Small Ca... |
# Author: Ruthger
from .app.app import create_app
# Create an app instance to be executed by the ASGI framework (e.g. daphne)
app = create_app()
|
"""
Package with trace validation utility.
"""
|
from article import init_scrap
from termcolor import colored
def fetch_art(url,key_wrd):
article=init_scrap(url)
heads=["h1","h2","h3","h4"]
all_posts=[]
for art in article.find_all(heads):
if art.text=="Forbidden":
print(colored("%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%","red"))
... |
from numpy.linalg import matrix_power
import numpy as np
def snakes_and_ladders_matrix():
n = 101
T = np.zeros((n, n))
for i in range(n - 1):
for j in range(i + 1, np.min([n, i + 7])):
T[i, j] = 1 / 6
for i in range(n - 6, n):
T[i, i] = (i - n + 7) / 6
snakes_and_ladde... |
from probes.probe import *
from notifiers.notifier import *
import csv, sys
def str_to_class(classname):
return getattr(sys.modules[__name__], classname)
FILE = 'subscriptions.csv'
sender = ''
password = ''
smtp_address = 'smtp.gmail.com'
smtp_port = '465'
smtp_ssl = True
receiver = ''
reader = {}
with open(FIL... |
adminUser = raw_input('Enter the admin username, without the domain (e.g. dhay):')
adminPassword = raw_input('Enter the admin password: ')
print "\n" * 80 #clear screen
csvFile = 'schoolDomains.csv'
import time
import csv
import gdata.apps.organization.client
totalRows = sum(1 for row in open(csvFile, 'rb')) #count h... |
import getopt
import sys
import tensorflow as tf
import os
import json
import numpy as np
import file_utils
from datetime import datetime
import matplotlib.pyplot as plt
import h5py
from bert.tokenization.bert_tokenization import FullTokenizer
from bert import BertModelLayer
from bert.loader import StockBertConfig, map... |
try:
print('try')
except Exception as e:
print('except')
else:
print('else')
raise Exception('else内で例外発生！')
finally:
print('finally')
|
from .string import string, String
from .iterator import iterator, Iterator, iteratorOf
from .sequence import sequence, Sequence, sequenceOf
from .mapping import mapping, Mapping, mappingOf
|
from setuptools import setup
import re
with open('aiotengiohy/__init__.py') as f:
version = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]', f.read(), re.MULTILINE).group(1)
with open("README.md", "r") as f:
long_description = f.read()
setup(
name = 'aiotengiphy',
packages = ['aiotengiphy'],
versio... |
# -*- coding: utf-8 -*-
__author__ = 'CubexX'
import shelve
class Storer:
def __init__(self, filename):
self.filename = filename
def store(self, key, obj):
db = shelve.open(self.filename)
db[key] = obj
db.close()
def restore(self, key):
db = shelve.open(self.file... |
from jinja2 import Template
from jinja2 import Environment, PackageLoader
if __name__ == '__main__':
env = Environment(loader=PackageLoader('test_pack', 'templates'))
template = env.get_template('template.html')
r = template.render(name='Jesse')
generate = 'generate.html'
f = open(generate, 'w')
... |
from django.http import HttpResponse, Http404
from email import message
from unicodedata import category
from django.core.exceptions import ObjectDoesNotExist
from django.shortcuts import render
from urllib import request
from.models import Image, Category, Location
# Create your views here.
def gen_landing(request):... |
import unittest
import yaml
from flask import render_template_string
from tests.app import app
from tests.fixtures.wtf_widgets_example_form import ExampleForm
class FlaskWtfMacroTestBase(unittest.TestCase):
"""Test the flask-wtf -> govuk widgets
Test the output of passing flask-wtf form elements
throug... |
from terra_sdk.core import Dec
from ._base import BaseAsyncAPI, sync_bind
__all__ = ["AsyncMintAPI", "MintAPI"]
class AsyncMintAPI(BaseAsyncAPI):
async def inflation(self) -> Dec:
"""Fetches the current inflation.
Returns:
Dec: inflation
"""
return Dec(await self._c.... |
def quick_sort(a_list):
if len(a_list) < 2:
return a_list
else:
pivot = a_list[0]
less = quick_sort([i for i in a_list if i < pivot])
greater = quick_sort([i for i in a_list if i > pivot])
return less + [pivot] + greater
print(quick_sort([7,6,3,99]))
|
def selection_4():
# Library import
import numpy
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# Library version
matplotlib_version = matplotlib.__version__
numpy_version = numpy.__version__
# Histo binning
xBinning = numpy.lin... |
from typing import List
from hypothesis import given
from hypothesis import strategies as st
from hypothesis.extra.numpy import arrays
import numpy as np
from numpy import ndarray
from numpy.testing import assert_almost_equal, assert_array_equal
from scvelo.core import clipped_log, invert, prod_sum, sum
class Test... |
# https://www.hackerrank.com/challenges/np-mean-var-and-std/problem
import numpy as np
n,m = map(int, input().split())
b = []
for i in range(n):
a = list(map(int, input().split()))
b.append(a)
b = np.array(b)
np.set_printoptions(legacy='1.13')
print(np.mean(b, axis = 1))
print(np.var(b, axis = 0))
print(np... |
"""
Computes the rational approximation of (alpha*x^s + beta*x^t)^(-1) on interval [0, bound]:
* -1 <= s,t <= 1
* upper bound of x, should be an upper bound of lambda_max(A), e.g. l_infty norm of A
"""
import numpy as np
from baryrat import aaa
import haznics
def rational_approx_haznics(x, f, AAA_tol):
# ... |
import clay
def test_new_cwd(dst):
dest = dst / "demo"
clay.cli.new(dest)
assert (dest / "static").is_dir()
assert (dest / "clay.yaml").is_file()
|
#!/usr/bin/env python
"""Detect indices in x of sequential data identical to value."""
import numpy as np
__author__ = 'Marcos Duarte, https://github.com/demotu/BMC'
__version__ = 'detect_seq.py v.1.0.0 2019/03/17'
def detect_seq(x, value=np.nan, index=False, min_seq=1, max_alert=0,
show=False, ax=N... |
import shutil
import dill
from zipfile import ZipFile
import os
import glob
import abc
import re
from dps.utils import zip_root
class ObjectFragment(object, metaclass=abc.ABCMeta):
def __init__(self):
pass
@abc.abstractmethod
def combine(self, *others):
raise Exception("NotImplemented")
... |
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from models import build_model
from datagen import genxy
from utils import genanchors, loc2box2d
from datetime import datetime
np.set_printoptions(threshold=np.inf, linewidth=np.inf)
anno_file_path = '... |
from typing import List, Dict
from ts.c_syntax import CSyntax
from ts import Tree
from cfa import CFANode, CFA, CFAEdge
from cfa import LocalisedCFA, LocalisedNode
from .tweet_handler import TweetHandler
from .decoration_strategy import StandardDecorationStrategy, DecorationStrategy
from .conversion_strategy import Co... |
"""Core functions."""
import hashlib
import re
from pathlib import Path
from typing import Any
from typing import Iterable
from typing import Optional
from typing import Tuple
from nox.sessions import Session
from nox_poetry.poetry import DistributionFormat
from nox_poetry.poetry import Poetry
Session_install = Ses... |
from django.db.models import Manager, QuerySet
from .constants import NONCONNECTABLE_IFACE_TYPES
class InterfaceQuerySet(QuerySet):
def connectable(self):
"""
Return only physical interfaces which are capable of being connected to other interfaces (i.e. not virtual or
wireless).
... |
from __future__ import absolute_import
# flake8: noqa
# import apis into api package
from openapi_genclient.api.market_api import MarketApi
from openapi_genclient.api.operations_api import OperationsApi
from openapi_genclient.api.orders_api import OrdersApi
from openapi_genclient.api.portfolio_api import PortfolioApi... |
#!/usr/bin/env python
# _*_ coding:UTF-8 _*_
import rospy
import signal
from std_msgs.msg import String
from webots_ros.srv import set_float
from webots_ros.srv import set_int
from geometry_msgs.msg import Twist
TIME_STEP = 32
MAX_SPEED = 5.0
controllerName = ""
v_x = 0
w_z = 0
motorNames = ["wheel1", "wheel2", "wheel... |
#!/usr/bin/env python3
import wikileaks
with open('dnc.session.aria2', 'w') as f:
for id in range(1, wikileaks.COUNT_DNC + 1):
print(f'# --- {id} ---', file=f)
print(f'https://wikileaks.org/dnc-emails/get/{id}', file=f)
print(' dir=dnc-emails', file=f)
print(' max-tries=0', file=... |
import pandas as pd
def pandas_excel_write(save_dir_path: str):
data1 = """
class precision recall
<18 0.0125 12
18-24 0.0250 16
25-34 0.00350 4
"""
data2 = """
sample values
<18 0
18-24 0.25
25-34 0.35
... |
# -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf
a = tf.constant(2)
b = tf.constant(3)
x = tf.add(a, b)
with tf.Session() as sess:
writer = tf.summary.FileWriter('./graphs', sess.graph)
print(sess.run(x))
writer.close()
a = tf.constant([2, 2], name='a')
b = tf.constant([[0, 1], [2, 3]], name... |
import os
import warnings
from setuptools import setup, Extension
import numpy
try:
from pathlib import Path
home = str(Path.home())
except ImportError:
home = os.path.expanduser("~")
# This is the switch for ALM developement. Always True for general cases.
compile_with_sources = True
# Configurations to ... |
from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit
from .models import Article
class ArticleUpdateForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(ArticleUpdateForm, self).__init__(*args, **kwargs)
self.helper = FormHelper(... |
# coding=utf-8
import pytest
from configobj import ConfigObj
from configobj.validate import Validator
@pytest.fixture
def empty_cfg():
return ConfigObj()
@pytest.fixture
def val():
return Validator()
|
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from enum import Enum
class TextCompressionLevel(Enum):
none = 0
low = 1
high = 2
class TextCompressor(object):
def __init... |
"""
Read each other's minds
"""
import asyncio
import discord
import json
import random
from collections import deque
from chowder import chowder
with open("games/telewave/telewave_config.json", "r") as read_file:
config = json.load(read_file)
class TelewaveTeam:
def __init__(self, players, name, score, ... |
import os
filepath = "../metadata/list_of_html.txt"
template_path = "../metadata/templates/template_code.html"
replace_above_cw = "<!-- Page Header -->"
replace_below_cw = "<!-- Footer -->"
def get_middle (filename):
middle = []
with open(filename, "r", encoding= 'utf-8') as fp:
line = fp.readline()
while(replac... |
# -*- coding: utf-8 -*-
from string import Template
from textwrap import dedent
# This file contains templates used to generate HandleProcess file
'''
The following template is based on Part 4 (Section ParseHandleBuffer())
'''
handle_process_template = Template(dedent("""\
#include "Tpm.h"
#include "In... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import Skype4Py
from Skype4Py.chat import *
class skype_api:
instance = None
def __init__(self):
self.skype = Skype4Py.Skype()
self.current_user = self.skype.CurrentUser
if self.skype.AttachmentStatus != 0:
self.skype.Attach()
... |
#!/usr/bin/python
import os
os.chdir('/tmp')
#sapnwrfc - A Python interface to SAP NetWeaver R/3 systems using the RFC protocol
#SAP RFC Connector using the SAP NW RFC SDK for Python http://www.piersharding.com/blog/
#https://github.com/piersharding/python-sapnwrfc
import sapnwrfc
import sys
if len(sys.argv) <> 4:
... |
import datetime
import os
import requests
import trello
import vk
from vk.photos import Photo
import config
def is_image_file(attachment_url):
_, file_extension = os.path.splitext(attachment_url)
if file_extension not in ('.jpg', '.gif', '.png'):
return False
return True
def download_attachm... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import random
from IMLib.utils import *
#import tensorflow.compat.v1 as tf
#tf.disable_v2_behavior()
import tensorflow as tf
class Dataset2(object):
def __init__(self, config):
super(Dataset2, s... |
# -*- coding: utf-8
"""
@File : normalrdmbased.py
@Author : Zitong Lu
@Contact : zitonglu1996@gmail.com
@License : MIT License
"""
' a module for calculating Cross-Temporal Similarities based on normal RDMs '
import numpy as np
from neurora.rdm_corr import rdm_correlation_spearman, rdm_correl... |
import os
import tkinter
import dlg_add_user
import sign
import pygubu
from db_ctrl import get_all_users, del_user
class WinManager(pygubu.TkApplication):
def _create_ui(self):
self.builder = builder = pygubu.Builder()
builder.add_from_file('conf/win_ui/manager.ui')
self.mainwindow = build... |
import numpy as np
class Param(object):
def __init__(self, name):
self.name = name
def sample(self):
pass
def mutate(self, value):
pass
class CategoricalParam(Param):
def __init__(self, name, categories, prior=None):
super(CategoricalParam, self).__init__(name)
... |
from time import sleep
class Receita:
def __init__(self, ovo, leite, farinha, manteiga) -> None:
self.ovo = ovo
self.leite = leite
self.farinha = farinha
self.manteiga = manteiga
def misturar(self):
if self.ovo == 2:
return 'Bolo sendo misturado'
els... |
# -*- coding: utf-8 -*-
"""
@Time : 2021/6/22 10:54
@Author : 物述有栖
@File : webp_converter.py
@DES : webp转换器
"""
from PIL import Image
import sys
import os
def file_convert(filepath):
# for file in os.listdir(path):
# fileName = path + "/" + file
im = Image.open(filepath).convert('RGB')
save... |
'''
Python3 needed for requests
'''
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
import requests
# Change this address to your settings
macaddr = 'E8:C7:D7:F2:4B:47'
hostname = 'raspberrypi3'
port = '5000'
# http-link generation
link = 'http://' + hostname + ':' + port + '/data/' + ... |
# Copyright 2012 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Tests lid switch functionality."""
import datetime
import os
import time
from cros.factory.test import event_log # TODO(chuntsen): Deprecate event l... |
import setting
import os
from pyspark.mllib.evaluation import RegressionMetrics
from src.spark_session import spark
from src.features import build_features
from src.models import train_model
from src.utils import log_config
logger = log_config.get_logger(__name__)
def evaluate_model():
"""
will read train an... |
# Copyright 2018 U.C. Berkeley RISE Lab
#
# 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 agree... |
import grpc
import inference_pb2_grpc
import management_pb2
import management_pb2_grpc
def get_inference_stub():
channel = grpc.insecure_channel('localhost:9090')
stub = inference_pb2_grpc.InferenceAPIsServiceStub(channel)
return stub
def get_management_stub():
channel = grpc.insecure_channel('local... |
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