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# -*- coding: utf-8 -*-
# Copyright 2018 Novo Nordisk Foundation Center for Biosustainability,
# Technical University of Denmark.
#
# 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... |
'''
Build the pipeline workflow by plumbing the stages together.
'''
from ruffus import Pipeline, suffix, formatter, add_inputs, output_from
from stages import Stages
def make_pipeline(state):
'''Build the pipeline by constructing stages and connecting them together'''
# Build an empty pipeline
pipeline ... |
import time
from web_scraper import checkIfExsits
from fast import degree_distance
from db import get_db
from flask import session
def wikicheat(start_link, end_link):
start_link = start_link.lower()
end_link = end_link.lower()
start_time = time.time()
path_length = degree_distance(start_link, end_li... |
#!/usr/bin/env python3
#Copyright (C) 2013 by Glenn Hickey
# Copyright (C) 2012-2019 by UCSC Computational Genomics Lab
#
#Released under the MIT license, see LICENSE.txt
#!/usr/bin/env python3
"""Compute constraint turnover stats over entire tree
"""
import argparse
import os
import sys
import copy
import subprocess... |
from typing import Tuple
from functools import lru_cache
from pulumi import ResourceOptions, Alias
from pulumi_azure import appservice, storage
@lru_cache(maxsize=1)
def get_consumption_plan(
resource_group_name: str,
) -> Tuple[appservice.Plan, storage.Account]:
plan = appservice.Plan(
"nvd-funcs-con... |
import tempfile
import logging
import traceback
from rest_framework.response import Response
from rest_framework import status
from django.http import response
from ..models import State
from ..renderers import PngRenderer
from ..renderers import JpegRenderer
from ..renderers import GifRenderer
from ..renderers impor... |
import os
import time
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
from absl import app
from absl import flags
from albumentations import (
Compose, HorizontalFlip, RandomBrightness,RandomContrast,
ShiftScaleRotate, ToFloat, VerticalFlip)
from models import build_seg_model, build_pixel... |
from typing import List
from ....source_shared.base import Base
from ....utilities.byte_io_mdl import ByteIO
class MaterialReplacementList(Base):
def __init__(self):
self.replacements = [] # type: List[MaterialReplacement]
def read(self, reader: ByteIO):
entry = reader.tell()
repl... |
import os
import flopy
import numpy as np
tpth = os.path.abspath(os.path.join('temp', 't016'))
if not os.path.isdir(tpth):
os.makedirs(tpth)
exe_name = 'mfusg'
v = flopy.which(exe_name)
run = True
if v is None:
run = False
def test_usg_disu_load():
pthusgtest = os.path.join('..', 'examples', 'data',... |
# -*- coding: utf-8 -*-
# flake8: noqa
from app.views import common
from app.views import user
from app.views import webhook
from app.views import server
from app.views import history
from app.views import collaborator
from app.views import api
from app.views import socket |
# -------------------------------------------------------------------------
#
# Part of the CodeChecker project, under the Apache License v2.0 with
# LLVM Exceptions. See LICENSE for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
# ---------------------------------------------------... |
import array as ar # F1
myarray = ar.array("i", [] ) # F2
myarrlen = int(input("Kindly enter the array length: ")) # F3
for loop in range(myarrlen):
myarray.append(int(input("Enter element number: "))) # F4
for loop in range(len(myarray)):
print(myarray[loop]) # F5 |
# coding: utf-8
"""
Argo Server API
You can get examples of requests and responses by using the CLI with `--gloglevel=9`, e.g. `argo list --gloglevel=9` # noqa: E501
The version of the OpenAPI document: v2.11.8
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2021 Alibaba Group Holding 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-... |
import paddle.fluid as fluid
import paddle
import paddorch.cuda
import paddorch.nn
import os
import paddorch.nn.functional
from paddle.fluid import dygraph
import numpy as np
def constant_(x, val):
x=fluid.layers.fill_constant(x.shape,x.dtype,val,out=x)
return x
def normal_(x,m=0,std=1):
y=paddle.randn(x... |
# Generated by Django 2.2.4 on 2019-08-27 16:40
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... |
import urllib
from xml.dom import minidom
import time
def nextbus(a, r, c="vehicleLocations", e=0):
"""Returns the most recent latitude and
longitude of the selected bus line using
the NextBus API (nbapi)"""
nbapi = "http://webservices.nextbus.com"
nbapi += "/service/publicXMLFeed?"
nbapi += "command=%s&a... |
from hypothesis import given
from rene.exact import Point
from tests.utils import (equivalence,
implication)
from . import strategies
@given(strategies.points)
def test_reflexivity(point: Point) -> None:
assert point == point
@given(strategies.points, strategies.points)
def test_symmet... |
import requests
import json
import os
content_type = "application/vnd.netbackup+json; version=2.0"
testPolicyName = "VMware_test_policy"
testClientName = "MEDIA_SERVER"
testScheduleName = "VMware_test_schedule"
def post_rbac_object_group_for_VMware_policy(jwt, base_url):
global object_group_id
url = base_url + "/rb... |
def up(config, database, semester, course):
database.execute('ALTER TABLE users ADD COLUMN IF NOT EXISTS registration_subsection character varying(255)') |
'''
URL: https://leetcode.com/problems/day-of-the-week/
Difficulty: Easy
Description: Day of the Week
Given a date, return the corresponding day of the week for that date.
The input is given as three integers representing the day, month and year respectively.
Return the answer as one of the following values {"Sund... |
import os
import sys
from datetime import datetime
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import DataLoader, random_split
from torch.utils.tensorboard import SummaryWriter
import torchvision.transforms as transforms
from models... |
from django.core.urlresolvers import reverse
from django.db.models.query import QuerySet as DjangoQuerySet
from modularodm import Q
from modularodm.exceptions import NoResultsFound
from modularodm.query.query import RawQuery
from framework.mongo.storage import MongoQuerySet
class AffiliatedInstitutionsList(list):
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2012-2018 Matt Martz
# 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.or... |
"""
"""
class Game:
"""A scrabble game""" |
#!/bin/env python
# encoding:utf-8
#
#
#
__Author__ = "CORDEA"
__date__ = "2014-10-13"
import sys
arg = sys.argv[1]
arg2 = sys.argv[2]
infile = open(arg, "r")
lines = infile.readlines()
infile.close()
idDict = {}
for line in lines:
tmp = [r.rstrip("\r\n") for r in line.split("\t")]
idDict[tmp[0]] = tmp[... |
import argparse
import gym
import numpy as np
import os
import tensorflow as tf
import tempfile
import time
import sys
cwd = os.getcwd()
cwd = '/'.join(cwd.split('/')[:-4])
temp = sys.path
temp.append('')
temp[1:] = temp[0:-1]
temp[0] = cwd
print(sys.path)
from baselines.deepq.dqn_utils import *
import baselines.com... |
# 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 logging
import discord
from discord.ext import commands
from discord_slash import cog_ext
from discord_slash.context import SlashContext
from config import CONSTANTS, cmds, database
import lonir_funcs
discord.Permissions.advanced()
log = logging.getLogger('logger')
class Information(commands.Cog):
def __... |
class DNode:
def __init__(self, data):
self.data=data
self.next=None
self.prev=None
class Doublylinkedlist():
def __init__(self):
self.head=None
def print_list(self):
cur_node=self.head
while cur_node:
print(cur_node.dat... |
# Copyright The ANGLE Project Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# Generates an Android.bp file from the json output of a 'gn desc' command.
# Example usage:
# gn desc out/Android --format=json "*" > desc.json
# py... |
# coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) HuggingFace Inc. team.
#
# 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... |
import math
from calculate_grades import calculate_stat
def test_calculate_grades():
mean_answer = 69.5
sd_answer = 22.299
grades = [88, 34, 67, 89]
mean, sd = calculate_stat(grades)
assert math.isclose(mean, mean_answer, abs_tol=0.05)
assert math.isclose(sd, sd_answer, abs_tol=0.05) |
# -*- coding: utf-8 -*-
import datetime
from decimal import Decimal
from south.db import db
from south.v2 import DataMigration
from django.db import models
class Migration(DataMigration):
def forwards(self, orm):
for rec in orm['fund.RecurringDirectDebitPayment'].objects.all():
donor = orm['re... |
'''
/******************************************************************
*
* Copyright 2018 Samsung Electronics 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
*
* htt... |
#This file contain and will update with all the programs i used ...
#Empty line remover
sed -e '/^[[:blank:]]*$/d' source_file > newfile
#Frequency word count.
files = list_of_files
fd = nltk.FreqDist()
for file in files:
with open(file) as f:
for sent in nltk.sent_tokenize(f.lower()):
for word... |
#===----------------------------------------------------------------------===##
#
# The LLVM Compiler Infrastructure
#
# This file is dual licensed under the MIT and the University of Illinois Open
# Source Licenses. See LICENSE.TXT for details.
#
#===------------------------------------------------... |
"""
DCA class performs Discriminant Correlation Analysis (DCA). It can be used as
a dimensionality reduction algorithm. Usage is similar to sklearn's
preprocessing classes such as PCA.
(Code from Thee Chanyaswad (tc7@princeton.edu))
"""
import numpy as np
import scipy
from sklearn.metrics import pairwise
from sklearn ... |
#!/usr/bin/env python
#
# Copyright (C) 2016 The Android Open Source Project
#
# 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 req... |
### importing libraries
import matplotlib.pyplot as plt
import numpy as np
n = np.linspace(-5, 5, 11)
delta = 1*(n==0)
u = 1*(n>=0)
plt.stem(n, delta, use_line_collection = True)
# naming the x axis
plt.xlabel('n')
plt.ylabel('x[n] = delta[n]')
# giving a title to my graph
plt.title('Unit Impulse Sequence')
plt.show()... |
import hashlib
class Plugin:
def __init__(self, parser, sqlitecur):
parser.registerCommand([("hash", "Calculates all hashes", self._allHash)])
for h in hashlib.algorithms_available:
parser.registerCommand([("hash",), (h, "Calculates the %s" % h, self._hashCurry(h))])
def _allHash(... |
"""Implement an API wrapper for accessing a TP-Link EAP."""
from pathlib import Path
from .client import Client
from .eap import Eap
from .error import CommunicationError, PytleapError
__all__ = [
"Eap",
"Client",
"PytleapError",
"CommunicationError",
]
__version__ = (Path(__file__).parent / "VERSION... |
#
# PySNMP MIB module HH3C-DOT11-ACMT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HH3C-DOT11-ACMT-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:13:08 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... |
"""Upload the contents of your Downloads folder to Dropbox.
This is an example app for API v2.
"""
from __future__ import print_function
import argparse
import contextlib
import datetime
import os
import six
import sys
import time
import unicodedata
if sys.version.startswith('2'):
input = raw_input # noqa: E501... |
# -*- coding: utf-8 -*-
from starlette.applications import Starlette
from starlette.responses import JSONResponse
from starlette.routing import Route, WebSocketRoute
import math_func
import scheduled_tasks
async def homepage(request):
result: dict = {
"status": "hello world",
"method": request.me... |
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# --------------------------------------------... |
import pandas as pd
import numpy as np
from dplypy.dplyframe import DplyFrame
from dplypy.pipeline import arrange
def test_arrange():
pandas_df = pd.DataFrame(
data=[[5, 1, 0], [20, 2, 2], [0, 8, 8], [np.nan, 7, 9], [10, 7, 5], [15, 4, 3]],
columns=["col1", "col2", "col3"],
index=[1, 3, 5... |
# =============================================================================
# Tool Directory
#
# A program to prepare an HTML table listing softwares available on
# a file system.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
#... |
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyPint(PythonPackage):
"""Pint is a Python package to define, operate and manipulate physi... |
"""Jade Tree Email Support.
Jade Tree Personal Budgeting Application | jadetree.io
Copyright (c) 2020 Asymworks, LLC. All Rights Reserved.
"""
from flask import current_app
from flask_mail import Mail, Message
from jadetree.exc import ConfigError
mail = Mail()
__all__ = ('init_mail', 'mail', 'send_email')
def i... |
from flask import Response, request
from flask_jwt_extended import create_access_token
from database.models import User
from database.db import db
from flask_restful import Resource
from mongoengine.errors import FieldDoesNotExist, NotUniqueError, DoesNotExist, ValidationError
from resources.errors import SchemaValidat... |
"""Whatnext
"""
from __future__ import print_function
import os
from setuptools import find_packages, setup
# --- import your package ---
import whatnext as package
PLATFORMS = [
"Windows",
"MacOS",
"Unix",
]
CLASSIFIERS = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",... |
# Copyright 2015 The TensorFlow Authors. 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 applica... |
from django.views import generic
from django.shortcuts import render, redirect
from django.db.models import Q
from django.contrib import messages
from .models import Alumnus
from .forms import AlumniForm
import operator
from functools import reduce
from hknweb.utils import method_login_and_permission, login_and_permi... |
import math
class Math:
@staticmethod
def add(x,y):
return x+y
@staticmethod
def remove(x,y):
return x-y
@staticmethod
def mulitiply(x,y):
return x*y
@staticmethod
def divide(x,y):
return x/y
def calculate():
var = ("+","-","*","/")
take = input... |
# Copyright 2021 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 agreed to in writing, ... |
# model settings
model = dict(
type='MaskRCNN',
pretrained=None,
backbone=dict(
type='LIT',
embed_dim=96,
depths=[2, 2, 6, 2],
num_heads=[3, 6, 12, 24],
window_size=7,
mlp_ratio=4.,
qkv_bias=True,
qk_scale=None,
drop_rate=0.,
at... |
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.tree import DecisionTreeRegressor
from sklearn.svm import SVR
from sklearn.preprocessing import PolynomialFeatures
from sklearn.metrics import mean_squared_error as mse
from sklearn.metrics import mean_absolute_error as mae
from sklearn.... |
from ..base import ShopifyResource
class Checkout(ShopifyResource):
pass |
"""
Monitoring algorithms for Quicklook pipeline
"""
import os,sys
import datetime
import numpy as np
import scipy.ndimage
import yaml
import re
import astropy.io.fits as fits
import desispec.qa.qa_plots_ql as plot
import desispec.quicklook.qlpsf
import desispec.qa.qa_plots_ql as fig
from desispec.quicklook.qas impor... |
# --------------
import pandas as pd
from sklearn.model_selection import train_test_split
data = pd.read_csv(path)
X = data.drop(['customer.id','paid.back.loan'],axis=1)
y = data['paid.back.loan']
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.3,random_state=0)
# --------------
#Importing header fil... |
from __future__ import absolute_import, division, print_function
import os
import time
import pandas as pd
import numpy as np
import seaborn as sns
from collections import Counter
import matplotlib.pyplot as plt
from sklearn.externals import joblib
from sklearn.preprocessing import Normalizer
from sklearn.model_select... |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... |
class Produto:
def __init__(self, codigo, descricao, valorUni):
self.codigo = codigo
self.descricao = descricao
self.valorUni = valorUni
class NotaFiscal:
def __init__(self, nroNF, nomeCliente, itensNF):
self.nroNF = nroNF
self.nomeCliente = nomeCliente
self.iten... |
from nonebot import on_command, CommandSession
from mcrcon import MCRcon
__plugin_name__ = '重载MinecraftQQ'
__plugin_usage__ = '重载MinecraftQQ'
@on_command('qreload', aliases=('重载', 'MCQQ重载', 'MinecraftQQ重载', 'minecraftqq重载', 'mcqqreload'))
async def qreload(session: CommandSession):
with MCRcon(host = session.bot.... |
from typing import Optional
import numpy as np
import torch
def image_to_tensor(image: np.ndarray, keepdim: bool = True) -> torch.Tensor:
"""Converts a numpy image to a PyTorch 4d tensor image.
Args:
image (numpy.ndarray): image of the form :math:`(H, W, C)`, :math:`(H, W)` or
:math:`(B,... |
import socket
import sys
import signal
import serial
arduino = serial.Serial('COM4', 9600) #this will change if running this on windows but this is for linux
arduino.write(b'0')
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
port = None
host = N... |
_canvas = """
<script type="text/javascript" src="./js/canvas.js"></script>
<div>
<canvas id="{0}" width="{1}" height="{2}" style="background:rgba(158, 167, 184, 0.2);" onclick='click_callback(this, event, "{3}")'></canvas>
</div>
<script> var {0}_canvas_object = new Canvas("{0}");</script>
""" # noqa
class Canvas:... |
from django.contrib import admin
from .models import Tag, Ingredient, RecipeIngredient, Recipe, Favorite, Subscription, Purchase
class TagAdmin(admin.ModelAdmin):
list_display = ('pk', 'title', 'color')
search_fields = ('title',)
empty_value_display = '-пусто-'
class IngredientAdmin(admin.ModelAdmin):
... |
# Copyright 2015 The TensorFlow Authors. 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 applica... |
import numpy as np
import descarteslabs as dl
from shapely.geometry import Polygon, MultiPolygon
from PIL import Image
def generate_sentinel_training_images(geometry,
area, #eg. 'Jamaca'
tile_size= 512,
st... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
#Adapte o código do desafio #107, criando uma função adicional chamada moeda()
# que consiga mostrar os números como um valor monetário formatado.
import moeda
#Programa Principal
valor = float(input('Digite o preço:R$ '))
print(f' A aumentando 10% de {moeda.moeda(valor)} é igual à: R${moeda.moeda(moeda.aumentar(valo... |
#!/usr/bin/python3
from functools import partial
# Обычная функция принимающая 3 аргумента:
def f(x, y, z):
return (x + y + z) * 100
print("f(2, 3, 4) ->")
print(f(2, 3, 4)) # -> 900
# Частичное применение этой же функции:
funcYZ = partial(f, 2) # x = 2
print("\nfuncYZ(3, 4) ->")
print(funcYZ(3, 4)) # -> 900
... |
from . import FixtureTest
class BusinessAndSpurRoutes(FixtureTest):
def _check_route_relation(
self, rel_id, way_id, tile, shield_text, network):
z, x, y = map(int, tile.split('/'))
self.load_fixtures([
'https://www.openstreetmap.org/relation/%d' % (rel_id,),
], c... |
import argparse, time, sys, os
sys.path.append(os.path.abspath(os.path.dirname(__file__) + '/..'))
from rgbmatrix import RGBMatrix
class SampleBase(argparse.ArgumentParser):
def __init__(self, *args, **kwargs):
super(SampleBase, self).__init__(*args, **kwargs)
self.add_argument("-r", "--rows", ac... |
import pickle
import logging
import requests
import simplejson as json
from django.core.cache import cache
from appconf.manager import SettingManager
from rmis_integration.client import get_md5
logger = logging.getLogger(__name__)
BASE_URL = "https://suggestions.dadata.ru/suggestions/api/4_1/rs/suggest/{}"
def s... |
import mock
import os
import testtools
from pydantic import AnyHttpUrl
from shakenfist import exceptions
from shakenfist import images
from shakenfist import image_resolver_cirros
from shakenfist import image_resolver_ubuntu
from shakenfist import logutil
from shakenfist.tests import test_shakenfist
from shakenfist.c... |
# Mostly copied and modified from torch/vision/references/segmentation to support unlabeled data
# Copied functions from fmassa/vision-1 to support multi-dimensional masks loaded from numpy ndarray
# Update: The current torchvision github repo now supports tensor operation for all common transformations,
# you are enco... |
# Copyright 2021, The TensorFlow Federated Authors.
#
# 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 o... |
#!/usr/bin/env python
# encoding: utf-8
name = "Baeyer-Villiger_step1_cat/groups"
shortDesc = u""
longDesc = u"""
"""
template(reactants=["ketone", "hydroperoxide", "acid"], products=["criegee", "acid2"], ownReverse=False)
reverse = "none"
recipe(actions=[
['BREAK_BOND', '*3', 1, '*4'],
['BREAK_BOND', '*7'... |
"""Functionality to check that the input provided by the user is valid.
Index
-----
.. currentmodule:: nanoqm.workflows.input_validation
.. autosummary:: process_input
API
---
.. autofunction:: process_input
"""
import os
import warnings
from os.path import join
from pathlib import Path
from typing import Any, Dict... |
#!/bin/env python
import sys, os, warnings, time
from ncclient import manager, operations
from ncenviron import *
def default_unknown_host_cb(foo, bar):
return True
def demo(host=nc_host, port=nc_port, user=nc_user, password=nc_password):
with manager.connect(host=host, port=port, username=user, password=password,... |
"""Module containing the Train class and support functionality."""
__authors__ = "Ian Goodfellow"
__copyright__ = "Copyright 2010-2012, Universite de Montreal"
__credits__ = ["Ian Goodfellow"]
__license__ = "3-clause BSD"
__maintainer__ = "LISA Lab"
__email__ = "pylearn-dev@googlegroups"
from datetime import datetime
i... |
import pkg_resources
try:
import click
except ImportError:
raise Exception('Missing CLI dependencies. To use WASH from CLI, please run following command:/n'
'pip install wash-lang-prototype[cli]')
@click.group()
@click.option('--debug', default=False, is_flag=True, help="Debug/trace outpu... |
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import pyqtgraph as pg
import requests
import requests_cache
from collections import defaultdict
from datetime import datetime, timedelta, date
from itertools import cycle
import sys
import time
import traceback
requests_cache.instal... |
import py, os, sys
from .support import setup_make, soext
from pypy.module._cppyy import interp_cppyy, executor
currpath = py.path.local(__file__).dirpath()
test_dct = str(currpath.join("example01Dict"))+soext
def setup_module(mod):
setup_make("example01")
class AppTestPYTHONIFY:
spaceconfig = dict(usemodu... |
from abc import ABC, abstractmethod
from collections import OrderedDict
from typing import List, Set, Dict, Any, Union, cast
import falcon
from model.http_helper import HTTPBadRequestField
from model.view_field import ViewField, view_field_types
from model.db import LdapModlist, LdapAddlist, LdapMods, LdapFetch
impo... |
# -*- coding: utf-8 -*-
"""
/***************************************************************************
AttributeAssignment
A QGIS plugin
Easy to assign an attribute on QGIS
-------------------
begin : 2018-03-14
git sha ... |
from __future__ import annotations
from dataclasses import dataclass
from io import BytesIO
from pathlib import Path
from typing import TYPE_CHECKING, Optional, Tuple
from urllib.parse import urljoin
from zipfile import ZipFile
import requests
from more_itertools import one
if TYPE_CHECKING:
from _typeshed impo... |
# Dummy test
import numpy as np
from gsea import *
from numpy.testing import assert_almost_equal
def test_rank_genes():
D = np.array([[-1,1],[1,-1]])
C = [0,1]
L,r = rank_genes(D,C)
assert_almost_equal(L, [0,1])
assert_almost_equal(r, [1,-1])
def test_enrichment_score():
L = [1,0]
r = [-1,... |
n=600851475143
for i in range(2,n):
if n%i==0:
n=int(n/i)
print(f'{i}, {n}')
if n==1:
break |
# Copyright 2020 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... |
# -*- coding: utf-8 -*-
'''
Production Configurations
- Use djangosecure
- Use mailgun to send emails
'''
from django.utils import six
from .common import * # noqa
# SECRET CONFIGURATION
# ------------------------------------------------------------------------------
# See: https://docs.djangoproject.com/en/dev/ref... |
from hopex.utils.input_checker import *
class MarketClient(object):
def __init__(self, **kwargs):
"""
Create the request client instance.
:param kwargs:The option of request connection.
api_key: The public key applied from Hopex.
secret_key: The private key applied f... |
# This file is part of Scapy
# See http://www.secdev.org/projects/scapy for more informations
# Copyright (C) Philippe Biondi <phil@secdev.org>
# This program is published under a GPLv2 license
"""
Generators and packet meta classes.
"""
################
# Generators #
################
from __future__ import absol... |
# Generated by Django 2.2.9 on 2020-10-11 10:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('posts', '0002_auto_20201011_1034'),
]
operations = [
migrations.AlterField(
model_name='group',
name='title',
... |
import k3redisutil
import time
# Using redis as a duplex cross process communication channel pool.
# client and server with the same channel name "/foo" is a pair
c = k3redisutil.RedisChannel(6379, '/foo', 'client')
s = k3redisutil.RedisChannel(6379, '/foo', 'server')
c.send_msg('c2s')
s.send_msg('s2c')
# list chan... |
import json
import shutil
import os
def load_coco_annotation_json(json_path, num = 'all'):
anns = json.load(open(json_path))
if num == 'all':
num = len(anns)
return anns[:num]
def copy_images(json_path, image_root, output_dir):
anns = load_coco_annotation_json(json_path)
# print(len(anns... |
#!/usr/bin/env python
import os
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# Read a field representing unstructured grid and display it (similar to blow.tcl)
# create a reader and write out field data
reader = vtk.vtkUnstructuredGridReader()
reade... |
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