content stringlengths 5 1.05M |
|---|
from .pushservice import *
|
from copy import deepcopy
from hashlib import md5
from misago.core import threadstore
from .forms import get_permissions_forms
def fake_post_data(target, data_dict):
"""
In order for form to don't fail submission, all permission fields need
to receive values. This function populates data dict with defau... |
from django.contrib.contenttypes.models import ContentType
from django.core.exceptions import ValidationError
from django.db import models
from django.test import TestCase, TransactionTestCase
from django_dynamic_fixture import G
from mock import patch, MagicMock, call
from activatable_model.models import BaseActivata... |
class Response(object):
status = None
reason = None
url = None
content_type = None
charset = None
text = None
meta = None
def __init__(self):
pass |
from bokeh.models.formatters import FuncTickFormatter
def configure_plot(plot):
plot.toolbar.logo = None
plot.xaxis.axis_label_text_font_style = "normal"
plot.yaxis.axis_label_text_font_style = "normal"
plot.xaxis.major_label_text_font_size = "1rem"
plot.yaxis.major_label_text_font_size = "1rem"
... |
#
# K-line, stock datas
# Klang 提供了全局的股票数据，和获取股票数据的方法
# Kdatas 是提供了单只股票的数据和计算方法
# 类似通达信这样的公式，经过计算的数据有时候需要 计算整个周期，有时候是单个周期
# 因此需要封装成 python 类来解决
# 例如： if CLOSE > OPEN, 判断的是单个周期
# 例如： EVERY (CLOSE > OPEN,N) 这时候判断的是多个周期
import numpy as np
import pandas
kl = None
def setstock(kl1):
global kl
kl = kl1
"""
df2 = ... |
#----------------- Libraries -------------------#
import os
import sys
from tqdm import tqdm
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
from sklearn.model_selection import train_test_split
from Preprocessing import Preprocessing
def kfold_decompose(data, kfold_n):
"""
Thi... |
"""
Custom validator that validates the format needed for PBRG to
get the record date from a folder name.
"""
import re
import string
import wx
DAY_NUMBER = 0
MONTH_NAME = 1
YEAR_NUMBER = 2
class DateValidator (wx.Validator):
"""
Validates input date has the next format:
DD MONTH_NAME YYYY
"""
def... |
import time
from netmiko.no_enable import NoEnable
from netmiko.no_config import NoConfig
from netmiko.cisco.cisco_ios import CiscoIosBase
class KeymileSSH(NoEnable, NoConfig, CiscoIosBase):
def __init__(self, **kwargs):
kwargs.setdefault("default_enter", "\r\n")
return super().__init__(**kwargs)... |
#!/usr/bin/env python
import sys
import requests
import base64
from requests.auth import HTTPBasicAuth
import json
import configparser
account_data = {}
pc_data = {}
#verify_git_creds verifies the given got credentials have access to the repo
def verify_git_creds(repo, owner, username, password):
git_repo_endpoi... |
#output position of player in 25 seconds
import time
from mcpi.minecraft import Minecraft
mc = Minecraft.create()
pos1 = mc.player.getTilePos()
x1=pos1.x
y1=pos1.y
z1=pos1.z
#wait for 25 seconds
time.sleep(25)
#get position again
pos2 =mc.player.getTilePos()
x2 = pos2.x
y2 = pos2.y
z2 = pos2.z
#calcu... |
from unittest import TestCase
import puzio
import re
class TestModule(TestCase):
def test_timestamp(self):
t = puzio.timestamp()
patt = r'\d{8}T\d{6}'
self.assertTrue(re.fullmatch(patt, t), f"timestamp {t} does not match pattern {patt}")
|
# coding: utf-8
"""
ELEMENTS API
The version of the OpenAPI document: 2
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from elements_sdk.configuration import Configuration
class FSProperties(object):
"""NOTE: This class is auto generated by Open... |
'''
Created on 16-10-2012
@author: Jacek Przemieniecki
'''
from unifac.facade import Facade #@UnresolvedImport
class UI(object):
def __init__(self):
self.facade = Facade()
def parse_file(self, f):
""" Opens the file from patch f and executes commands inside"""
with open(f... |
'''
Escreva um programa que leia a velocidade de um carro. Se ele ultrapassar 80Km/h, mostre uma mensagem dizendo que ele foi multado. A multa vai custar R$7,00 por cada Km acima do limite.
'''
# Ler a velocidade do carro.
vc = int(input('Informe a velocidade do carro: '))
print('--*-'* 20)
print('A velocidade re... |
"""
OAuth/Gmail API-based email notifier
:author: alanung and Matthew Farrugia-Roberts
"""
import base64
import pickle
import os.path
from email.mime.text import MIMEText
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Re... |
# codes in this file are reproduced from https://github.com/GraphNAS/GraphNAS with some changes.
from torch_geometric.nn import (
GATConv,
GCNConv,
ChebConv,
SAGEConv,
GatedGraphConv,
ARMAConv,
SGConv,
)
import torch_geometric.nn
import torch
from torch import nn
import torch.nn.functional ... |
# -*- coding: utf-8 -*-
"""
Copyright ©2017. The Regents of the University of California (Regents). All Rights Reserved.
Permission to use, copy, modify, and distribute this software and its documentation for educational,
research, and not-for-profit purposes, without fee and without a signed licensing agreement, is
he... |
# Copyright (C) 2020 FUJITSU
# 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 by a... |
import random
import torch
import numpy as np
from ..environment.device import DeviceTopology
from ..environment.state import CircuitStateDQN
from ..algorithms.simanneal import AnnealerDQN
from ..hyperparams import DEVICE
class DoubleDQNAgent(torch.nn.Module):
def __init__(self, device: DeviceTopology):
... |
import pytest
@pytest.fixture
def analysis_step_version_3(testapp, analysis_step, software_version):
item = {
'schema_version': '3',
'version': 1,
'analysis_step': analysis_step['@id'],
'software_versions': [
software_version['@id'],
],
}
return item
@... |
from __future__ import absolute_import
# Copyright 2013-2018 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://aws.amazon.com/apach... |
from typing import Any, Generic, List, Optional, Union, cast
from thirdweb.abi import TokenERC1155
from thirdweb.common.error import NotFoundException
from thirdweb.common.nft import fetch_token_metadata
from thirdweb.constants.currency import ZERO_ADDRESS
from thirdweb.constants.role import Role, get_role_hash
from th... |
#this file contains functions that transform images;
import tensorflow as tf
import numpy as np
import scipy
def uniform_random(x_nat, epsilon):
"""Input: batch of images; type: ndarray: size: (batch, 784)
Output: batch of images with uniform nois; we use clip function
to be assured that numbers in matr... |
"""
Class definitions for the fundamental objects in the agent-based model.
@author: Noah Burrell <burrelln@umich.edu>
"""
from scipy.stats import binom, norm, halfnorm, uniform
class Student:
"""
A (truthfully-reporting) Student object.
Attributes
----------
id : int.
Unique identi... |
# Copyright (C) 2012 Ion Torrent Systems, Inc. All Rights Reserved
# from django.test import TestCase
# from mockito import mock, when, any, verify, contains
# import iondb.rundb.data.tasks
# from django.contrib.auth.models import User
# from iondb.rundb.tests.views.report.test_report_action import verifyMessage
# impo... |
'''
12. Try a string operation to perform below operation
exam_st_date = (11, 12, 2014)
Sample Output : The examination will start from : 11 / 12 / 2014
'''
exam_st_date = (11, 12, 2014)
exam_st_date = str(exam_st_date)
print(exam_st_date.replace(', ', ' / ')) |
# Not OK
def simple(l = [0]):
l[0] = 1 #$ modification=l
return l
# Not OK
def slice(l = [0]):
l[0:1] = 1 #$ modification=l
return l
# Not OK
def list_del(l = [0]):
del l[0] #$ modification=l
return l
# Not OK
def append_op(l = []):
l += [1, 2, 3] #$ modification=l
return l
# Not... |
# coding=UTF-8
from natcap.invest.ui import model, inputs
import natcap.invest.carbon
class Carbon(model.InVESTModel):
def __init__(self):
model.InVESTModel.__init__(self,
label=u'InVEST Carbon Model',
target=natcap.invest.carbon.execute,
... |
from django.db import models
from django.contrib.auth.models import AbstractUser
from djmoney.models.fields import MoneyField
# Create your models here.
class Greeting(models.Model):
when = models.DateTimeField("date created", auto_now_add=True)
class User(AbstractUser):
email_notifications = models.BooleanF... |
import sys
from sty import fg, bg, ef, rs, RgbFg
from core.game import TetrisRunner
class TerminalTetrisRunner(TetrisRunner):
def __init__(self, width=10, height=20):
super().__init__(width, height)
def delete_last_lines(self,n):
CURSOR_UP_ONE = '\033[F' #'\x1b[1A'
ERASE_LINE = '\033[K' #'\x1b[2K'
for _ in... |
# Copyright 2019 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://aws.amazon.com/apache2.0/
#
# or in the "LICENSE.txt" file acc... |
#!python3
# -*- coding: utf-8 -*-
import os, sys, time
def main():
os.chdir('dist')
for file in os.listdir(os.path.curdir):
if 'py2.' in file:
newfile = file.replace('py2.', '')
os.rename(file, newfile)
if __name__ == '__main__':
main()
|
# coding=utf-8
from lib.verify import verify
from plugins.BruteForce.mysql_crack import mysql_check
from plugins.BruteForce.postgres_crack import postgres_check
from plugins.BruteForce.ssh_crack import ssh_check
class Crack():
def __init__(self):
self.result = []
def pool(self, ip, ports):
... |
import os
import sys
import telegram.ext as tg
from loguru import logger
from pyrogram import Client
# enable logging
LOGGER = logger
# if version < 3.6, stop bot.
if sys.version_info[0] < 3 or sys.version_info[1] < 6:
LOGGER.error("You MUST have a python version of at least 3.6! Multiple features depend on this... |
import unittest
import os
from checkov.dockerfile.runner import Runner
from checkov.runner_filter import RunnerFilter
class TestRunnerValid(unittest.TestCase):
def test_runner_empty_dockerfile(self):
current_dir = os.path.dirname(os.path.realpath(__file__))
valid_dir_path = current_dir + "/reso... |
from sqlalchemy import Integer, Column, Table, Float, ForeignKey, String
from db.meta import metadata
Score = Table("score", metadata,
Column("id", Integer(), primary_key=True),
Column("user_id", Integer(), ForeignKey("user.id"), nullable=False),
Column("score", Float(), primary_key=True),
Column("tim... |
from ober.tokens import TokenDatabase
from ober.senses import SenseDatabase
import struct
import numpy as np
import argparse
import os
def get_latest_clusters_version(clusters_path="data/senses/clusters"):
max_version = 0
for f in os.listdir(clusters_path):
if f.endswith(".clusters"):
version = 0
try:
v... |
# -*- coding: utf-8 -*-
"""
Model page with tabs containing
- App description
- How to report issues
- About contributors.
"""
import json
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input
from dash.depende... |
accuracy_requirement = 0.75
analytical_delay = True
auto_delay_chain_sizing = False
bank_select = "bank_select"
bitcell = "bitcell_1port"
bitcell_array = "bitcell_array"
buf_dec = "pbuf"
check_lvsdrc = False
col_cap = "col_cap"
col_cap_array = "col_cap_array"
column_mux_array = "column_mux_array"
config_file = "/home/p... |
class Setup:
def __init__(self, downloadInfo, **kwargs):
self.downloadInfo = downloadInfo
if self.downloadInfo.type.isVideo():
self.unmuteVideo = kwargs.get("unmuteVideo", True)
self.updateTrack = kwargs.get("updateTrack", False)
self.priority = kwargs.get("priori... |
# *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistribution... |
"""
Author: Matt Hanson
Created: 27/08/2020 11:13 AM
"""
import pandas as pd
import os
import numpy as np
from supporting_functions.conversions import convert_RH_vpa
from supporting_functions.woodward_2020_params import get_woodward_mean_full_params
test_dir = os.path.join(os.path.dirname(__file__), 'test_data')
... |
# -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit 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 applicabl... |
"""
Hyper parameters related utils. For now it contains hyper parameter search
tools with random search but it may evolve later.
::
hp_sampler = HyperparamSearch(
lr=ExpSampler(1e-6, 0.1),
momentum=DecaySampler(0.5, 0.999),
wd=ExpSampler(0.1, 1e-6),
model=ChoiceSampler(['resnet', '... |
# Version 0
# Initial config version!
V0 = {
"$schema": "http://json-schema.org/schema#",
"type": "object",
"properties": {
# GitLab private token
"token": {
"type": "string",
},
# GitLab domain (https://git.gitlab.com)
"gitlab-host": {
"typ... |
"""Helper functions"""
from itertools import product
from math import isinf
from typing import List
import mpmath as mp
import numpy as np
import pandas as pd
from utils.exceptions import ParameterOutOfBounds
EPSILON = 1e-09
def get_q(p: float) -> float:
"""
:param p: Hoelder p
:return: q
"""
... |
class cell:
""" A cell for the CA problem. """
def __init__(self, rule, state):
self.right = None
self.left = None
self.rule = rule
self.state = state
def situate(self):
"""looks around itself and calculated its situation.
Returns an int from 0 to 7"""
... |
from pathlib2 import Path
import pathlib2
import os
PROJECT_DIR = Path(__file__).resolve().parents[1]
DATA_DIR = PROJECT_DIR / "data" |
__title__ = 'Geo km'
__description__ = 'Calculate distance and travel time between points using Google API.'
__url__ = 'not available'
__version__ = '2.0'
__author__ = 'Shkaberda V., Zubriichuk V.'
__author_email__ = 'not available'
__license__ = 'MIT License'
__copyright__ = 'Copyright 2021 Shkaberda Vadim, Vitaliy Zu... |
from django.contrib.auth import views as auth_views
from django.urls import path
from .forms import CustomAuthenticationForm
app_name = "accounts"
login_view = auth_views.LoginView.as_view(
template_name="accounts/login.html",
authentication_form=CustomAuthenticationForm
)
logout_view = auth_views.LogoutView... |
from django.apps import AppConfig
class ResourcecenterConfig(AppConfig):
name = 'apps.hobbygroups'
verbose_name = 'Hobby groups'
|
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"]='1' # 这是默认的显示等级，显示所有信息
os.environ["TF_CPP_MIN_LOG_LEVEL"]='2' # 只显示 warning 和 Error
os.environ["TF_CPP_MIN_LOG_LEVEL"]='3' # 只显示 Error
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
x_sin=np.linspace(-10,10,200)
c,s=np.cos(x_sin),np.sin(x_... |
# Extract values for each place. Create dictionaries for each case at each place. roman = thou[th] + hund[h] + tens[t] + ones[o].
class Solution(object):
def intToRoman(self, num):
"""
:type num: int
:rtype: str
"""
thousands = {'0':'', '1':'M', '2':'MM', '3':'MMM'}
... |
# -*- coding: utf-8 -*-
# Copyright (c) 2016 Ericsson AB
#
# 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 ... |
from django.urls import path, include
from rest_framework import routers
from employee_management_backend.users.api import views
router_users = routers.DefaultRouter()
router_users.register("user", views.UserViewSet, "user")
router_users.register("profiles", views.ProfileViewSet, "profiles")
router_users.register("... |
def expanded_form(num):
return ' + '.join(
[
str(int(i)*j) for i,j in
zip(
str(num)[::-1],
[1,10]+[pow(10,p) for p in range(2,50)]
)
... |
# Generated by Django 3.0.3 on 2020-03-12 10:17
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0017_lot_matiere_premiere2'),
]
operations = [
migrations.RenameField(
model_name='lot',
old_name='matiere_premiere2... |
import unittest
import sys
sys.path.append('.')
from dl.lexer import DLLexer
from dl.parser import DLParser
from dl.ast import Integer, Variable, BinOp, RelOp, ArrayIndex, \
Assign, Print, Read, Return, If, While, Block, \
FunctionCall, Arguments, FunctionDeclaration, \
... |
UNIFI_DEFAULT_HOST = "unifi"
UNIFI_DEFAULT_PORT = 443
UNIFI_DEFAULT_USERNAME = "admin"
UNIFI_DEFAULT_PASSWORD = "ubnt"
UNIFI_DEFAULT_SITE = "default"
MQTT_DEFAULT_HOST = "localhost"
MQTT_DEFAULT_PORT = 1883
MQTT_DEFAULT_NAME = "unifi"
MQTT_DEFAULT_USERNAME = "mqtt"
MQTT_DEFAULT_PASSWORD = "mqtt"
|
"""shell
pip install autokeras
"""
import os
import numpy as np
import tensorflow as tf
from sklearn.datasets import load_files
import autokeras as ak
"""
## A Simple Example
The first step is to prepare your data. Here we use the [IMDB
dataset](https://keras.io/datasets/#imdb-movie-reviews-sentiment-classification... |
import sys
from functools import reduce
from operator import add
from .lib import validate, Bracket
def main():
print(reduce(add, map(lambda b: b.score if type(b) == Bracket else 0, map(validate, sys.stdin))))
if __name__ == '__main__':
main()
|
import hassapi as hass
import sys
import yaml
#
# Centralizes messaging.
#
# Args:
#
# Version 2.0:
# Initial Version
class Notifier_Dispatch(hass.Hass):
def initialize(self):
self.gh_tts_google_mode = self.args.get("gh_tts_google_mode")
self.gh_switch_entity = self.args.get("gh... |
from typing import List
class Solution:
def findDiagonalOrder(self, nums: List[List[int]]) -> List[int]:
m = []
for i, row in enumerate(nums):
for j, v in enumerate(row):
if i + j >= len(m):
m.append([])
m[i+j].append(v)
retur... |
# -*- coding: utf8 -*-
# Copyright (c) 2019 Niklas Rosenstein
#
# 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 limitation the
# rights to use, copy, mo... |
# Copyright 2022 Huawei Technologies Co., Ltd
#
# 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... |
from yahoo.YahooSocket import to_ydict, from_ydict, argsep
import unittest, string
d = {'1': 'penultimatefire','2': 'some ascii'}
d2= { 1: 'penultimatefire', 2: 'some ascii'}
bytes = '1\xc0\x80penultimatefire\xc0\x802\xc0\x80some ascii\xc0\x80'
class YahooTestingSuite(unittest.TestCase):
def testYDictConstruc... |
from __future__ import division
from models import *
from utils.utils import *
from utils.datasets import *
from utils.parse_config import *
import os
import sys
import time
import datetime
import argparse
import torch
from torch.utils.data import DataLoader
from torch.utils.data import Subset
from torchvision impor... |
import abc
import fnmatch
import os
from typing import List, Optional, Union
import uqbar.objects
import supriya
def _search(pattern: str, root_path: str):
search_path, pattern = os.path.split(pattern)
search_path = os.path.expanduser(search_path)
if not search_path:
search_path = os.path.join(r... |
import torch
#
torch.multiprocessing.set_sharing_strategy('file_system')
import pandas as pd
import numpy as np
import sys
import os
import pickle
import argparse
# local imports
import train_model
import experiment_routines as experiments
from subsetting_exp import subset_experiment
# can add different
from datase... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import pymongo
from pymongo import MongoClient
from nltk.stem.snowball import SnowballStemmer
from collections import defaultdict, OrderedDict
import math
import codecs
import SR_2_Twitter_users as SR2
STEMMER = SnowballStemmer("english", ignore_stopwords=True )
f_in = "g... |
from django.shortcuts import render
from django.views.generic.detail import DetailView
from .models import Page
class PageView(DetailView):
model = Page
def index(request):
return render(request, 'pages/index.html', dict(pages=Page.objects.all()))
|
import statistics
import time
import random
import multiprocessing
import pytest
import sys
sys.path.append('..')
import doctable
def example_func(x, y=2):
return x**y
def example_sleep_func(x):
time.sleep(x/100000)
def test_workerpool(n=100):
pool = doctable.WorkerPool(1, verbose=False)
asser... |
# test imports
import sys
#import sys as system, os, re
#import re as regex
#from os import path
#from os import pipe as bar
print sys
#print system
#print regex
#print path
#print bar
|
from datetime import datetime
import pytest
from sqlalchemy.exc import IntegrityError
from finance.exceptions import AssetNotFoundException, AssetValueUnavailableException
from finance.models import (
Account,
Asset,
AssetValue,
Granularity,
Portfolio,
Record,
RecordType,
Transaction,
... |
import pandas as pd
import dgl
import os
import torch
import numpy as np
import scipy.sparse as sp
import time
from functools import partial
from .. import randomwalk
import stanfordnlp
import re
import tqdm
import string
class MovieLens(object):
def __init__(self, directory):
'''
directory: path t... |
"""
Simple function to get the quote for a desired market order from an orderbook. This is
useful in a variety of ways and places.
"""
from gryphon.lib.money import Money
from gryphon.lib.exchange.consts import Consts
def price_quote_from_orderbook(order_book, mode, volume):
if mode == Consts.BID:
order... |
# Copyright (c) 2022, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# SPDX-License-Identifier: Apache-2.0 (see LICENSE.txt)
# This file is part of ReLife, an open source Python library for asset
# management based on reliability theory and lifetime data analysis.
import pytest
import numpy as np
from relife.data... |
from django.urls import reverse
from rest_framework import status
from lego.apps.quotes.models import Quote
from lego.apps.users.models import AbakusGroup, User
from lego.utils.test_utils import BaseAPITestCase
def _get_list_url():
return reverse('api:v1:quote-list')
def _get_list_approved_url():
return _g... |
from evalml.pipelines.components.transformers.samplers.base_sampler import (
BaseOverSampler,
)
from evalml.utils.woodwork_utils import infer_feature_types
class SMOTESampler(BaseOverSampler):
"""SMOTE Oversampler component. Works on numerical datasets only. This component is only run during training and not ... |
import os
VERSION = "1.0"
MODEL_NAME = os.path.basename(os.path.dirname(__file__))
DOCKERHUB_REPO = f"danieldeutsch/{MODEL_NAME}"
DEFAULT_IMAGE = f"{DOCKERHUB_REPO}:{VERSION}"
AUTOMATICALLY_PUBLISH = True
from repro.models.liu2019.models import BertSumExt, BertSumExtAbs, TransformerAbs
from repro.models.liu2019.setup... |
# coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from fuji_server.models.base_model_ import Model
#from fuji_server.models.object import Object # noqa: F401,E501
from fuji_server import util
from fuji_server.models.a... |
# Item Merge
# Create a program that will compare two shopping lists from “Week A” and “Week B”. It will return any unique items contained on the list.
ALPHABET = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
def flatMap(arr, func=lambda x: x):
return [func(j) for i in arr for j in i]
def main():
getList = lambda x: input(f'{x}... |
#
# This file is part of pretix (Community Edition).
#
# Copyright (C) 2014-2020 Raphael Michel and contributors
# Copyright (C) 2020-2021 rami.io GmbH and contributors
#
# This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General
# Public License as published by ... |
from pathlib import Path
from unittest.mock import patch
from click.testing import CliRunner
from tbpore.external_tools import ExternalTool
from tbpore.tbpore import TMP_NAME, main_cli
@patch.object(ExternalTool, ExternalTool._run_core.__name__)
class TestClusterCLI:
@staticmethod
def get_command_line_from_... |
#!/usr/bin/env python
"""The setup script."""
import os.path as op
import warnings
from setuptools import find_packages, setup
def _read_md_as_rst(file):
"""Read Markdown file and convert it to ReStructuredText."""
from pypandoc import convert_file
return convert_file(file, 'rst', format='md')
def _rea... |
"""
Created on Jul 5, 2018
@author: lubo
"""
import pytest
@pytest.mark.parametrize("variants", ["variants_impala", "variants_vcf"])
@pytest.mark.parametrize(
"variant_type,count",
[(None, 10), ("sub", 9), ("del", 1), ("sub or del", 10), ],
)
def test_single_alt_allele_variant_types(
variants_impl, varia... |
import pickle
import re
from pathlib import Path
from typing import List, NamedTuple, Optional
import requests
from ...core.mixins import PointMixin
class NavaidTuple(NamedTuple):
name: str
type: str
lat: float
lon: float
alt: Optional[float]
frequency: Optional[float]
magnetic_variatio... |
import os
from rafiki.utils.log import configure_logging
from rafiki.admin import Admin
from rafiki.admin.app import app
configure_logging('admin')
if __name__ == "__main__":
# Run seed logic for admin at start-up
admin = Admin()
admin.seed()
# Run Flask app
app.run(
host='0.0.0.0',
... |
from .attributegenie import *
|
"""
Distillation loss for the student training
"""
from typing import Optional
import torch
import torch.nn as nn
import models.defaults as defaults
from utils.stft_losses import MultiResolutionSTFTLoss
class DistillationLoss(nn.Module):
def __init__(self, student, teacher, *, infer_teacher: Optional[callabl... |
from screws.freeze.base import FrozenOnly
class GPD_2SF(FrozenOnly):
""""""
def __init__(self, dof):
""""""
self._dof_ = dof
self._freeze_self_()
def __call__(self, *args, **kwargs):
"""""" |
import numpy as np
from pySDC.core.Errors import ParameterError, ProblemError
from pySDC.core.Problem import ptype
from pySDC.implementations.datatype_classes.mesh import mesh
# noinspection PyUnusedLocal
class nonlinear_ODE_1(ptype):
"""
Example implementing some simple nonlinear ODE with a singul... |
"""Fast CMS computation"""
import os, logging, functools
from functools import reduce
#import blaze as bz
import numpy as np
import pandas as pd
#from into import into
from Operations.MiscUtil import Dict, dbg, AddFileSfx, MakeSeq, StatKeeper
from Operations.tsvutils import DefineRulesTo_computeMeanStd, DefineRulesT... |
import numpy as np
import util
class NeuralNetwork:
# hyperameters
learning_rate = 0.0001
l0, l1, l2, l3 = 0, 0, 0, 0
isShuffle = True # shuffle flag: for shuffling data while training the network
isValidate = True # validation flag: for viewing validation results while tr... |
def getAvaliableCows(cows, c):
minEnd = float("inf")
maxIndex = -1
start = False
for i in range(0, len(cows)):
if cows[i][0] <= c and cows[i][1] >= c:
if not start:
start = True
# avaliable cow
if cows[i][1] < minEnd:
maxIndex = i
minEnd = cows[i][1]
else:... |
class ComponentLanguage:
PYTHON = "Python"
R = "R"
JAVA = "Java"
JUPYTER = "Jupyter"
|
import numpy
from amuse.units import units
from amuse.units.quantities import is_quantity, value_in, to_quantity
from amuse.datamodel import UnstructuredGrid, StructuredGrid,StructuredBaseGrid
try:
import matplotlib
from matplotlib import tri
if not hasattr(tri, "LinearTriInterpolator"):
raise Exception... |
from django.apps import AppConfig
class MainSiteConfig(AppConfig):
name = 'mainsite'
verbose_name = 'Main Site'
|
import sys
import random
from utils import *
from judgeManager import Judge_Manager
class JudgeServerManager:
def Add_Judge_Server(self, Address: str, Secret: str, Friendly_Name: str, Detail: str):
db = db_connect()
cursor = db.cursor()
try:
cursor.execute("INSERT INTO Judge_Ser... |
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