content stringlengths 5 1.05M |
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import json
from django.contrib.gis.geos import GEOSGeometry
from django.test import TestCase
from organisations.boundaries.management.base import BaseOsniCommand
from organisations.models import DivisionGeography
from organisations.tests.factories import (
DivisionGeographyFactory,
OrganisationFactory,
Org... |
# Cell
from sklearn.datasets import make_regression |
# Copyright 2019-2021 Wingify Software Pvt. 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 agr... |
#!/usr/bin/python
# Script by Grant Emsley <grant@emsley.ca> to create rdiffweb users from the command line
# Written 2016-04-23
#
# Usage: ./rdiffweb-adduser.py username -p password -d /home/username -e user@example.com
#
# Script will create an rdiffweb account with the specified username, and optionally a password, ... |
from django.contrib import admin
from ttc_rest_api.models import TTC_POST_TB, TTC_COMMENT_TB
# Register your models here.
admin.site.register(TTC_POST_TB)
admin.site.register(TTC_COMMENT_TB)
|
# -*- coding: UTF-8 -*-
# Copyright 2013-2016 Luc Saffre
# This file is part of Lino Voga.
#
# Lino Voga is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your op... |
# A module to run simulation functions
#Pass a command line argument of the number of images desired. Max is currently ~115,000
#Psss a command line argument of the mode
# -- Choices: 'lenses', 'foregrounds', 'galaxies'
#Example: python run_simulator.py 10000 lenses
import glob
import pandas as pd
import sys
import... |
from unittest import TestCase
from django.conf import settings
from django.template import Context, Template
from django.test import RequestFactory, SimpleTestCase, override_settings
class TestEmailPopupSettings(TestCase):
def test_setting_should_be_dict(self):
self.assertIsInstance(settings.EMAIL_POPUP_... |
import sys
#def Analyzer() :
#fin = open('shallowCopyDeepCopy')
if len(sys.argv) == 1 : print('Invalid input ')
#word = ''
d = {}
def updateD(word) :
if word not in d :
d[word] = 1
else :
d[word] = d[word] + 1
for i in sys.argv :
if i == sys.argv[0] : continue
fin = open(i, 'r')
for line in fin.readlin... |
#!/usr/bin/python
from mininet.net import *
from mininet.node import *
from mininet.link import *
from mininet.cli import *
from mininet.log import *
from mininet.util import *
from subprocess import *
import select
import os
# Using this constant for init_cmd will allow
# the docker image to execute # its own startu... |
from graphviz import Digraph
INBOUND_TYPES: dict = {
'IpRanges': 'CidrIp',
'Ipv6Ranges': 'CidrIpv6',
'UserIdGroupPairs': 'GroupId',
'PrefixListIds': 'GroupId'
}
def check_if_security_group_is_attached_to_an_instance(
ec2_instances,
group_name
) -> bool:
for reservation in ec2_inst... |
from __future__ import absolute_import, print_function
import os
import pytest
import shutil
import subprocess
import sys
import tempfile
import uuid
from elasticsearch import Elasticsearch
from flask import Flask, make_response
from flask_login import LoginManager, login_user
from flask_principal import RoleNeed, Pri... |
class mqtt_broker:
address = "adddress of MQTT broker on the network"
username = "user name to log on to MQTT broker"
password = "password to log on to MQTT broker"
topic = b"/topic/to/publish/ADC/data/to"
class wifi:
ssid = "name of WiFi access point"
password = "password to WiFi access point"
dhcp_host... |
import flask
from flask import jsonify, make_response, request
from main.all.data import db_session
from main.all.data.users import User
from main.web.run import send_message_to_bot
blueprint = flask.Blueprint(
'web_api',
__name__,
template_folder='templates'
)
@blueprint.route('/api/version')
def get_v... |
"""
How to use TensorBoard with PyTorch
===================================
TensorBoard is a visualization toolkit for machine learning experimentation.
TensorBoard allows tracking and visualizing metrics such as loss and accuracy,
visualizing the model graph, viewing histograms, displaying images and much more.
In ... |
#!/usr/bin/env python3
import collections
import itertools
import os
import re
import subprocess
import sys
PUC = "../pamu2fcfg/pamu2fcfg"
resident = ["", "-r"]
presence = ["", "-P"]
pin = ["", "-N"]
verification = ["", "-V"]
Credential = collections.namedtuple(
"Credential", "keyhandle pubkey attributes old... |
import os
import click
import gym
import json
import pickle as pkl
from bc.agent import BCAgent
from bc.utils.videos import write_video
@click.command(help='net_agent env_name [options]')
@click.argument('env_name', type=str)
@click.option('--seed', '-s', default=0, help='seed')
@click.option('-np', '--net_path', t... |
from collections import namedtuple
import logging
import sqlalchemy
import flask
from sqlalchemy.orm import sessionmaker, scoped_session
from dataactcore.config import CONFIG_DB
logger = logging.getLogger(__name__)
class _DB(namedtuple('_DB', ['engine', 'connection', 'scoped_session_maker', 'session'])):
"""Rep... |
# -*- coding: utf-8 -*-
# http://www.apache.org/licenses/LICENSE-2.0.txt
#
# Copyright 2016 Intel Corporation
#
# 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/li... |
#machine learning
import torch
USE_CUDA = torch.cuda.is_available()
device = torch.device("cuda" if USE_CUDA else "cpu")
# Model
"""Cf. Report on the code for details about the architecture of the model
- [**Pytorch LSTM doc**](https://pytorch.org/docs/stable/nn.html#torch.nn.LSTM)
- [**Pytorch GRU doc**](https://pyto... |
import torch
import os
from datetime import datetime
import numpy as np
import itertools
from mpi4py import MPI
from HER_mod.mpi_utils.mpi_utils import sync_networks, sync_grads
from HER_mod.mpi_utils.normalizer import normalizer
from HER_mod.her_modules.her import her_sampler
from HER_mod.rl_modules.replay_buffer i... |
"""Constants for teamspeak."""
# Base component constants
NAME = "Teamspeak 3 Server"
DOMAIN = "teamspeak"
DOMAIN_DATA = f"{DOMAIN}_data"
VERSION = "0.1.0"
MANUFACTURER = "TeamSpeak Systems, Inc"
ATTRIBUTION = f"Data from this is provided by a Teamspeak 3 Server by {MANUFACTURER}."
ISSUE_URL = "https://github.com/Larsi... |
# Largely a helper to quickly trigger fixtures to smoke test them
# and possibly go through their internal asserts
from pathlib import Path
def test_organized_nwb_dir(organized_nwb_dir: Path) -> None:
pass # Just a smoke test to trigger fixture's asserts
def test_organized_nwb_dir2(organized_nwb_dir2: Path) -... |
# -*- coding: utf-8 -*-
from rest_framework import serializers
from system.models import User, Role
class RoleSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Role
fields = ('id', 'name', 'permission', 'create_time', 'update_time')
class UserSerializer(serializers.Hyperl... |
# -*- coding: utf-8 -*-
#
# Copyright 2015 Simone Campagna
#
# 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 .core import FracFocusPDFParser, Report
from .helpers1 import Logger
|
from collections import defaultdict
class Graph:
def __init__(self, vertices):
self.graph = defaultdict(list)
self.vertices = vertices
def add_edge(self, u, v):
self.graph[u].append(v)
def bfs(self, s):
visited = [False] * self.vertices
queue = []
queu... |
#a script to run several replicates of several treatments locally
directory = "resets2/"
seeds = range(10, 21)
periods_resets = [[25,26400,0.0141,0.0081],[50,13200,0.0136,0.0068],[100,6600,0.0128,0.0059],[110,6000,0.0382,0.0331],[120,5500,0.1298,0.0222],[132,5000,0.1718,0.0234],[150,4400,0.2012,0.0293],[176,3750,0.227... |
# encoding: utf-8
# module System.Windows.Diagnostics calls itself Diagnostics
# from PresentationCore,Version=4.0.0.0,Culture=neutral,PublicKeyToken=31bf3856ad364e35
# by generator 1.145
""" NamespaceTracker represent a CLS namespace. """
# no imports
# no functions
# classes
class VisualDiagnostics(object... |
import cv2
import numpy as np
import os
from random import shuffle
import matplotlib.pyplot as plt
training_directory = '/home/helpologist/junction_detection/junc_frames_return/'
testing_directory = '/home/helpologist/Downloads/test-images/'
img_size = 80
learn_rate = 1e-3
epochs = 1
model_name = 'junction_detecti... |
from flask import Flask
from flask_cors import CORS
from app.routes import root
def create_app():
appBuilder = Flask(__name__)
appBuilder.register_blueprint(root)
CORS(appBuilder)
return appBuilder
app = create_app()
|
# -*- coding: utf-8 -*-
from django.contrib.auth.forms import UserCreationForm, UserChangeForm
from django import forms
from django.contrib.auth import get_user_model
User = get_user_model()
class RegisterForm(UserCreationForm):
email = forms.EmailField(label='E-mail')
first_name = forms.CharField(label='Primeiro n... |
#!/usr/bin/env python
from setuptools import setup, find_packages
import re
import os
from codecs import open
name = "pout"
kwargs = {"name": name}
def read(path):
if os.path.isfile(path):
with open(path, encoding='utf-8') as f:
return f.read()
return ""
vpath = os.path.join(name, "__i... |
import mmcv
def ava_classes():
return [
'bend/bow (at the waist)', 'crawl', 'crouch/kneel', 'dance',
'fall down', 'get up', 'jump/leap', 'lie/sleep', 'martial art',
'run/jog', 'sit', 'stand', 'swim', 'walk', 'answer phone',
'brush teeth', 'carry/hold (an object)', 'catch (an object... |
# Copyright (c) 2017 Cisco Systems, 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 r... |
# [기초-비트단위논리연산] 비트단위로 AND 하여 출력하기(설명)
# minso.jeong@daum.net
'''
문제링크 : https://www.codeup.kr/problem.php?id=1060
'''
n1, n2 = map(int, input().split())
print(n1 & n2) |
DEBUG = True
TESTING = True
BCRYPT_LEVEL = 12
MAIL_FROM_EMAIL = 'tuanquanghpvn@gmail.com'
SECRET_KEY = '&%^%&12o)!JHGHVJBK671i2lkj;^*&:'
SQLALCHEMY_DATABASE_URI = 'mysql://root:abc!@#ABC@localhost/flask_intro'
SQLALCHEMY_TRACK_MODIFICATIONS = True
WTF_CSRF_CHECK_DEFAULT = True
SAVE_DIR = '/apps/media/'
|
import numpy as np
from sklearn.metrics import roc_auc_score
try:
import torch
except ImportError:
torch = None
class Evaluator:
def __init__(self, metric='mse', **kwargs) -> None:
self.eval_metric = metric
def eval(self, input_dict):
y_true, y_pred = self._parse_and_check_input(inpu... |
import sys
import pymongo
import urllib.request
import json
import time
from datetime import datetime
from bs4 import BeautifulSoup # To get everything
from pymongo import MongoClient
#connect to MongoDB
client = MongoClient()
db = client.Stocks
articles = db.Articles
def main(arg1):
#Query site for HTML
ticker = a... |
# Copyright 2017 The Sonnet 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 applicable l... |
# -*- coding: UTF-8 -*-
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (t... |
import json
import sys
with open('reports/servers/index.json') as file_:
report = json.load(file_)
failures = sum(value['behavior'] == 'FAILED' for value in report['websockets'].values())
if failures > 0:
sys.exit(1)
else:
sys.exit(0)
|
from contextlib import redirect_stdout
import io
import unittest
from vimgolf.html import (
get_element_by_id,
get_elements_by_tagname,
get_text,
parse_html,
)
from vimgolf.vimgolf import (
get_api_key,
GOLF_HOST,
http_request,
main,
RUBY_CLIENT_VERSION_COMPLIANCE,
set_api_key,
... |
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 26 23:09:38 2020
@author: Jieyun Hu
"""
# This file is for PAMAP2 data processing
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
import h5py
import os
from sklearn.preprocessing import MinMaxScaler, StandardScaler
activities = {0: 'None', # 0... |
"""
Get items static data, like cost, notes, description, etc.
"""
import requests
import pandas as pd
import json
import os
from data.mappings import item_cols
items_map_raw = requests.get('https://api.opendota.com/api/constants/items')
items_map = json.loads(items_map_raw.text)
items_df = pd.json_normalize(items_map... |
"""
The fridrich module is a set of scripts used
to drive a Server, which is used mainly for
the Votings (There is much more to this,
but it's not really easy to explain),
and a Client that connects to the Server
Author: Nilusink
"""
from fridrich import cryption_tools
class ConsoleColors:
HEADER = '\033[95m'
... |
import zmq
import msgpack
import threading as mt
from typing import Optional, Union, Iterator, Any, Dict
from ..ids import generate_id
from ..url import Url
from ..misc import as_string
from ..host import get_hostip
from ..logger import Logger
from ..profile import Profiler
from ..debug import get_... |
# Splits Keras/Tensorflow models into two or more parts
# Email: na10web@gmail.com
from tensorflow import keras
from tensorflow.keras import layers as KL
from tensorflow.keras import Model
def split_network(model, split_layer_name: str, on_head=True, names=('head', 'tail'), custom_objects: dict=None) -> (Model, Model... |
# __all__ = ['Alias', 'Channel', 'Command', 'CommandChannelBlacklist', 'CommandUserBlacklist',
# 'DiscordServer', 'User']
|
from unittest.mock import Mock
import pytest
from dagster import resource, ModeDefinition, ResourceDefinition, SolidExecutionResult, execute_solid
from dagster_utils.contrib.data_repo.typing import JobId
from google.cloud.storage import Client, Blob
from hca_orchestration.contrib.bigquery import BigQueryService
from ... |
import logging
logger = logging.getLogger(__name__)
class ElasticsearchFetch:
def __init__(self, elasticsearch, timestamp_field="@timestamp"):
"""
:param elasticsearch: elasticsearch instance from the ``elasticsearch``-library.
:param timestamp_field: Denotes which field in the elasticsea... |
import cv2
from bitbots_vision.vision_modules.candidate import Candidate
class BallFinder():
"""
Deprecated BallFinder class.
"""
def __init__(self, config, cascade):
# type: (dict, cv2.CascadeClassifier) -> None
self._candidates = None
self._ball = None
self._cascade =... |
# ---
# jupyter:
# jupytext:
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.2'
# jupytext_version: 1.1.1
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %% [markdown]
# # P... |
class Solution:
def XXX(self, s: str) -> int:
max_sub_s = ''
len_sub_s = 0
for i_s in s:
if i_s in max_sub_s:
max_sub_s = max_sub_s[max_sub_s.index(i_s)+1:]
max_sub_s += i_s
len_sub_s = max(len_sub_s, len(max_sub_s))
return len_sub... |
from consts import Powerups, Speed
from game import LEVEL_POWERUPS
import queue
import Movement
import mapa
LEVEL_POWERUPS = {
1: "Flames",
2: "Bombs",
3: "Detonator",
4: "Speed",
5: "Bombs",
6: "Bombs",
7: "Flames",
8: "Detonator",
9: "Bombpass",
10: "Wallpass",
11: "Bombs"... |
# !/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on January 25 09:48:12 2020
@author: nlog2n
Data Visualization using Folium and GeoPandas
"""
import geopandas as gpd
import mplleaflet
import folium
from folium import IFrame
from folium.features import DivIcon
print(folium.__version__)
# import pandas_bokeh... |
import copy
import os
from visitor import *
from stringstream import *
from itertools import chain
class Analysis():
""" Apply transformations to the original AST. Includes:
1. Local Memory
2. Stencil Local Memory
3. Placing data in registers
4. Transposing arrays
5. Unrolling loops
6. Addi... |
from .EnvironmentSecretLookup import EnvironmentSecretLookup
from .SecretLookup import SecretLookup
|
import spacy
import nltk
import numpy as np
import pandas as pd
import streamlit as st
from nltk.util import ngrams
from nltk.tokenize import word_tokenize
from sklearn.metrics import silhouette_score
from sklearn.cluster import KMeans
from src.nlp_utils.text_preprocessing import normalize_text, apply_tfidf
from src.he... |
from .termui import (
confirm,
echo,
edit,
launch,
prompt,
raw_terminal,
flair,
terminalsize,
unstyle,
)
|
from .coalesce import * # NOQA
|
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="redispubsub",
version=__import__("redisrpc").VERSION,
author="Munis Isazade",
author_email="munisisazade@gmail.com",
description="Redis RPC server for microservices",
long_description=... |
import unittest
import unittest.mock
from programy.storage.entities.spelling import SpellingStore
class SpellingStoreTests(unittest.TestCase):
def test_load_spelling(self):
store = SpellingStore()
with self.assertRaises(NotImplementedError):
spell_checker = unittest.mock.Mock()
... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** 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, overload
from .. import... |
import numpy as np
from matplotlib import pyplot as plt
from threading import Thread
import time
def remove_i(x, i):
"""Drops the ith element of an array."""
shape = (x.shape[0]-1,) + x.shape[1:]
y = np.empty(shape, dtype=float)
y[:i] = x[:i]
y[i:] = x[i+1:]
return y
def a(i, x, G, m):
""... |
#
# Copyright (c) 2008-2016 Citrix Systems, 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 applicable l... |
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple
from rotkehlchen.accounting.structures.base import (
HistoryBaseEntry,
HistoryEventSubType,
HistoryEventType,
)
from rotkehlchen.assets.asset import EthereumToken
from rotkehlchen.chain.ethereum.decoding.interfaces import DecoderI... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
# -*- coding: utf-8 -*-
"""Initial conversion from sqlalchemy create all to alembic
Revision ID: 1b2a8e1a4d45
Revises: None
Create Date: 2014-01-20 15:40:30.883533
"""
# revision identifiers, used by Alembic.
revision = '1b2a8e1a4d45'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade... |
import sys
import unittest
from parameterized import parameterized_class
# TODO: fix it
sys.path.append("./")
from calculus_of_variations import MultidimensionalSolver
from calculus_of_variations.utils import E, I, exp, t
C1 = MultidimensionalSolver.C1
C2 = MultidimensionalSolver.C2
C3 = MultidimensionalSolver.C3
C4... |
from django.shortcuts import render, redirect
from django.core.urlresolvers import reverse_lazy
from django.contrib.auth.models import User
from django.db.models import Q
from django.views import generic
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from . models import Book, BookDetails
fr... |
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import numpy as np # linear algebra
import scipy.io
# path = "~/Documents/Spacebergs/src/input/"
# gbm_scores = pd.read_csv(path + "gbm_preds.csv")
# cnn_scores = pd.read_csv(path + "cnn_scores.csv")
# gbm_scores = pd.read_csvc
path = "/home/em... |
# -*- coding: utf-8 -*-
from rest_framework import status as http_status
from modules.shared.infrastructure.log import LoggerDecorator, PyLoggerService
from modules.shared.domain.requests import Request
from modules.shared.domain.responses import Response
from modules.shared.domain.serializers import SerializerManag... |
import sys, os
sys.path = [os.path.dirname(__file__), os.path.dirname(os.path.dirname(__file__))] + sys.path
os.chdir(os.path.dirname(__file__))
import bottle
from bottle import Bottle
import services # importa los servicios REST
application = bottle.default_app() # Carga la aplicacion por defecto con los servicios... |
from .q_learner import QLearner
from .coma_learner import COMALearner
from .latent_q_learner import LatentQLearner
from .hierarchical_q_learner import HierarchicalQLearner
from .hierarchical_rode_learner import HierarchicalRODELearner
from .hierarchical_noise_q_learner import HierarchicalNoiseQLearner
REGISTRY = {}
R... |
import requests
from requests.auth import HTTPBasicAuth
import json
import numpy as np
import math
from django.core.exceptions import ObjectDoesNotExist
from django.db.models import Sum
from django.db.models.functions import Coalesce
from datetime import timedelta
from django.core import management
# Get an instance o... |
CONFIG = "./webrepl_cfg.py"
RC = "./boot.py"
def change_daemon():
pass
def exists():
pass
def get_daemon_status():
pass
def getpass():
pass
def input_choice():
pass
def input_pass():
pass
machine = None
def main():
pass
os = None
sys = None
|
from src.database.base import Base
from src.database.session import engine, get_db |
"""
Modified from https://medium.com/analytics-vidhya/understanding-totp-in-python-bbe994606087
Any improvements are considered.
"""
import hmac, base64, struct, hashlib, time
def get_hotp_token(secret, intervals_no):
key = base64.b32decode(secret, True)
#decoding our key
msg = struct.pack(">Q", intervals_no... |
import numpy as np
def recursive_matrix_mult(A, B):
"""
Recursively multiplies sub matrices of A and B
:param a: The first Matrix A implemented as a np.array
:param b: The second Matrix B implemented as a np.array
:return: The product of a and b
"""
a = np.array(A)
b = np.array(B)
i... |
# 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 ... |
import tkinter
import re
import os
import argparse
import pathlib
import json
import urllib
import urllib.request
# Regular Expressions for retrieving contents from page source code.
PHOTOS_EXPRESSION = r'"display_resources":(.*?)]'
VIDEO_EXPRESSION = r'"video_url":"(.*?)"'
CONTENT_EXPRESSION = r'<meta content="(.*?)"... |
class Map:
def __init__(self):
self._map = {
'objects': {}
}
def get_object(self, object_id):
return self._map['objects'][object_id]
def add_object(self, obj):
self._map['objects'][obj.get_id()] = obj
def remove_object(self, obj):
del(self._map['ob... |
# coding: utf-8
"""
Fates List
Current API: v2 beta 3 Default API: v2 API Docs: https://apidocs.fateslist.xyz Enum Reference: https://apidocs.fateslist.xyz/structures/enums.autogen # noqa: E501
OpenAPI spec version: 0.3.0
Generated by: h... |
# coding=utf-8
from __future__ import division, print_function, unicode_literals
import io
import sys
import unittest
from mwel import ErrorLogger, toxml, fromxml
from . import TempFilesMixin
class TestErrorLogger(unittest.TestCase):
def test_basic(self):
el = ErrorLogger()
expected_output = ''... |
__copyright__ = """
Copyright 2019 Samapriya Roy
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... |
import ImageGrab
img = ImageGrab.grab()
img.save('test.jpg','JPEG')
import pyscreenshot as ImageGrab
# fullscreen
im=ImageGrab.grab()
im.show()
# part of the screen
im=ImageGrab.grab(bbox=(10,10,500,500))
im.show()
# to file
ImageGrab.grab_to_file('im.png')
import wx
wx.App() # Need to create an App instance bef... |
open(filename, encoding='utf-8').read()
|
#!/usr/bin/env python
# Add a CSV file as a table into <split>.db and <split>.tables.jsonl
# Call as:
# python add_csv.py <split> <filename.csv>
# For a CSV file called data.csv, the table will be called table_data in the .db
# file, and will be assigned the id 'data'.
# All columns are treated as text - no attempt ... |
from collections import namedtuple
from data.database import (ApprTag, ApprTagKind, ApprBlobPlacementLocation, ApprManifestList,
ApprManifestBlob, ApprBlob, ApprManifestListManifest, ApprManifest,
ApprBlobPlacement, ApprChannel)
ModelsRef = namedtuple('ModelsRef',... |
from . import arch_space, torch
|
"""
Astronomy Tutorial: exercise 2
Photometric redshift determination
usage: python exercise_02.py datadir
- datadir is $TUTORIAL_DIR/data/sdss_photoz
This directory should contain the files:
- sdss_photoz.npy
Here we will take a closer look at the photometric redshift problem discussed
in section 5 of... |
"""
Test that the q-values estimated by the qvalues module are correct
"""
import pytest
import numpy as np
from targetdecoy import qvalues
SCORES1 = np.array([10, 10, 9, 8, 7, 7, 6, 5, 4, 3, 2, 2, 1, 1, 1, 1])
SCORES2 = np.array([ 1, 1, 2, 3, 4, 4, 5, 6, 7, 8, 9, 9, 10, 10, 10, 10])
TARGET = np.array([ 1, 1, 1... |
import itertools
import numpy as np
import pandas as pd
import pytest
import xarray as xr
from xarray.core.missing import (
NumpyInterpolator,
ScipyInterpolator,
SplineInterpolator,
_get_nan_block_lengths,
get_clean_interp_index,
)
from xarray.core.pycompat import dask_array_type
from xarray.tests... |
from datetime import datetime
from time import sleep
from random import choice
from os import listdir
from os.path import join
from botUtils import *
from videoUpload import *
while True:
while datetime.now().weekday() != 4:
print "Apparently, it is still not SEXTA FEIRA, SUA LINDA..."
sleep(28800)... |
import rpa as r
import pyautogui as p
r.init()
r.url('https://www.google.com')
janela = p.getActiveWindow()
janela.maximize()
r.wait(2.0) # esperar 2 seg
r.type('//*[@name="q"]', 'RPA[enter]')
# r.type('//*[@id="tsf"]/div[2]/div[1]/div[1]/div/div[2]/input', 'RPA[enter]')
r.wait(2.0)
r.snap('page', 'rpa_page.png') ... |
from collections import OrderedDict
expected = OrderedDict(
[
("type", "figure"),
(
"assets",
[
OrderedDict(
[
("type", "image"),
("doi", u"10.7554/eLife.00109.004"),
... |
import asyncio
from ipaddress import IPv4Address
from typing import Union, Text, Tuple
from . import get_logger
class PingError(Exception):
def __init__(self, message: str, wrapped_exception: Exception = None):
self.wrapped_exception = wrapped_exception
self.__cause__ = wrapped_exception
class ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import subprocess
DEFAULT_PATH = "/tmp/resource_object"
class KubernetesResources(object):
def __init__(self):
self._resources = {}
def load_json_file(self, path):
try:
with open(path, "r") as f:
self._re... |
from django.db import models
from django.contrib import admin
# Create your models here.
class food_daily(models.Model):
fid=models.AutoField(primary_key=True)
fname=models.CharField(verbose_name='菜名',max_length=30)
price=models.DecimalField(verbose_name='价格',max_digits=6,decimal_places=2)
f_types=(
... |
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