content stringlengths 5 1.05M |
|---|
import yaml
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIClient
class OpenAPISchemaTest(TestCase):
def setUp(self):
self.client = APIClient()
def test_schema_ok(self):
resp = self.client.get("/schema/")
self.assertEqual(resp.sta... |
import socket
import os
import json
import unittest
import sys
import _thread
import logging
import time
import random
sys.path.append(os.path.dirname(os.path.abspath(__file__ + '/..')))
from pubsub.publisher import Publisher
os.chdir(os.getcwd() + '/tests')
from logger import init_logging
log = init_logging('noc-net... |
# import the necessary packages
from scipy.spatial import distance as dist
from imutils.video import FileVideoStream
from imutils.video import VideoStream
from imutils import face_utils
import numpy as np
import argparse
import imutils
import time
import dlib
import cv2
from time import sleep
import wx
import os
import... |
import json
from aws_cdk.aws_dynamodb import Attribute, AttributeType, Table
from aws_cdk.aws_events import Rule, RuleTargetInput, Schedule
from aws_cdk.aws_events_targets import LambdaFunction
from aws_cdk.aws_iam import PolicyStatement
from aws_cdk.aws_lambda import Runtime
from aws_cdk.aws_lambda_python import Pyth... |
import numpy as np
from .configs import *
from droidbot.input_event import *
class Action:
"""
An action that the RL agent can send to the device, including the following fields
Name Meaning
action_type Probability of each action type, including gesture, intent, key
gesture_... |
import pytest
from assertpy import assert_that
import year2020.day13.reader as reader
import year2020.day13.solver as solver
def test_example_a():
puzzle = (939, [7, 13, None, None, 59, None, 31, 19])
result = solver.solve_a(puzzle)
assert_that(result).is_equal_to(295)
@pytest.mark.solution
def test_so... |
import pytest
from lib import part1, part2
def test_lib():
assert part1(data) == 5934
data = [3, 4, 3, 1, 2]
|
class ParkingSystem:
# # Instance Variables (Accepted), O(1) time, O(1) space wrt addCar
# def __init__(self, big: int, medium: int, small: int):
# self.big = big
# self.medium = medium
# self.small = small
# def addCar(self, carType: int) -> bool:
# if carType == 1:
# ... |
"""Tests for the queries utils of the active_users app."""
import pytz
from dateutil.relativedelta import relativedelta
from datetime import date, datetime
from django.test import TestCase
from .. import query_utils as utils
class QueryUtilsTest(TestCase):
longMessage = True
def test_get_month_names(self):
... |
import cards
import player
import game
import json
import csv
import os
import logging
import random
from keras.models import Sequential, load_model
from keras.layers.core import Dense
from keras.optimizers import sgd
def initialize_network():
# parameters
hidden_size = 40
model = Sequential()
# mod... |
# 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 2.3.3... |
###################################################
## ##
## This file is part of the MEL code v1.0 ##
## ##
## The contents are covered by the terms of the ##
## BSD 3-clause license included in the LICENSE ##
## file,... |
"""Tensorflow Tensor Library Module."""
import logging
import tensorflow as tf
import tensorflow_probability as tfp
log = logging.getLogger(__name__)
class tensorflow_backend:
"""TensorFlow backend for pyhf"""
__slots__ = ['name', 'precision', 'dtypemap', 'default_do_grad']
def __init__(self, **kwargs)... |
from server_database_connection import mycursor
while 1:
mycursor = mydb.cursor()
mycursor.execute("SELECT code_id FROM process_codes")
code_id = mycursor.fetchone()
mycursor.execute("SELECT node_id FROM free_node")
node = mycursor.fetchone()
node_id = mycursor.fetchone()
s... |
#!/usr/bin/env python3
import configparser
import requests
import argparse
import json
import yaml
import os
import subprocess
import shutil
from glob import glob
# Get config from user dir
config_file = os.path.expanduser("~/.puzzlecad")
config = configparser.ConfigParser()
config.read(config_file)
client_id = conf... |
from __future__ import print_function
from yambopy import *
from schedulerpy import *
import argparse
import os
layer_separation = 12
folder = 'gw+bse'
yambo = 'yambo'
p2y = 'p2y'
prefix = 'bn'
scheduler = Scheduler.factory
def create_save():
#check if the nscf cycle is present
if os.path.isdir('nscf/%s.s... |
from typing import List
from netqasm.lang import instr as ins
from netqasm.logging.output import InstrLogger as NQInstrLogger
from netqasm.logging.output import QubitGroups, QubitState
from netsquid.qubits import qubitapi as qapi
from netsquid.qubits.qubit import Qubit
from squidasm.sim.glob import QubitInfo, get_run... |
from django.core.management.commands.migrate import Command as MigrationCommand
from django.db import connection
class Command(MigrationCommand):
"""This command should be used along with t_manage.py"""
def add_arguments(self, parser):
parser.add_argument("schema", type=str)
super().add_argum... |
"""
The flask application package.
"""
from flask import Flask
from os import environ
from applicationinsights.requests import WSGIApplication
app = Flask(__name__)
app.wsgi_app = WSGIApplication(environ.get('APPINSIGHTS_INSTRUMENTATIONKEY'), app.wsgi_app)
import python_webapp_flask.views
|
from __future__ import annotations
import logging
from functools import cached_property
import cirq
import numpy as np
from factor import MExp, approximate_fraction, size_in_bits, prepare_state, bits_to_integer
class OrderFinder(object):
def __init__(self, a: int, N: int):
"""Class that finds the multi... |
from typing import Optional
from fastapi import APIRouter, File, HTTPException
from fastapi.param_functions import Query
from starlette.responses import Response, FileResponse
from starlette.requests import Request
from config import gender_classifier, SHOW_ALL, logger, ALLOWED_FILE_EXTENSIONS, DO_SENTIMENT_ANALYSIS
fr... |
import os
import shutil
import subprocess
import unittest
from pyspark.sql import SparkSession
class ValidateJsonSpecs(unittest.TestCase):
DRUGS_REFERENCES_PATH = "../data/gold/drugs_references.json"
ANALYTICS_PATH = "../data/gold/"
def test_should_compute_drugs_analytics(self):
drugs_analytics_... |
# Generated by Django 3.1 on 2020-10-10 09:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('backend', '0012_cafe_close'),
]
operations = [
migrations.CreateModel(
name='age',
fields=[
('id', mod... |
import torch
def hook_DCN_v2_Ref(m, x, y):
# Only modulated_deform_conv2d() is ignored in feature flip fusion,
# same as default DCNv2.
# conv Flops = 2 x k^2 x Cin x Cout x W x H
# dcn Flops = + W x H x k^2 x 13 + W x H x k^2 x 9 x Cin (bilinear interpolate, 9 -> 6 for MACs)
# or just: ->0 + W x ... |
# flake8: noqa F401
from stable_baselines.common.vec_env.base_vec_env import AlreadySteppingError, NotSteppingError, VecEnv, VecEnvWrapper, \
CloudpickleWrapper
from stable_baselines.common.vec_env.dummy_vec_env import DummyVecEnv
from stable_baselines.common.vec_env.subproc_vec_env import SubprocVecEnv
from s... |
import pytube
#fin des imports
print("Entrez le lien de votre video youtube")
lien = input()
youtube = pytube.YouTube(lien)
video = youtube.get_videos()
s = 1
for v in video:
print(str(s)+". "+str(v))
s += 1
print("Entrez la qualitée de votre video:")
n = int(input())
vid = video[n-1]
print("Entrez... |
from django.utils.translation import ugettext_lazy as _
from mayan.apps.task_manager.classes import CeleryQueue
from mayan.apps.task_manager.workers import worker_b
queue_parsing = CeleryQueue(
name='parsing', label=_('Parsing'), worker=worker_b
)
queue_parsing.add_task_type(
dotted_path='mayan.apps.document... |
# coding: utf-8
import os
from django.shortcuts import redirect, render_to_response, get_object_or_404, RequestContext
from django.core.urlresolvers import reverse
import composer
import writer
from models import Song
def index(request):
return render_to_response('composer/index.html', {
'song_count':... |
import datetime
import os
import shutil
from typing import Dict
import pytest
from config import LOG_PATH
from utils import logger as _logger
from utils.crypto import hmac_sha1_encode
from utils.datetime_utils import (
_date,
_datetime,
_strftime,
datetime_range,
datetime_today,
is_within_a_wee... |
height = input('How tall are you, in inches? ')
height = int(height)
if height >= 36:
print('\nYou\'re tall enough to ride!')
else:
print('\nYou\'ll be able to ride when you\'re a little older.')
|
from django.apps import AppConfig
class GhostapiConfig(AppConfig):
name = 'ghostapi'
|
import logging
import subprocess
import restic.errors
logger = logging.getLogger(__name__)
def execute(cmd):
logger.debug('Executing restic command: %s', str(cmd))
try:
process = subprocess.run(cmd,
capture_output=True,
text=True,
... |
from .criterions import * |
REVISION = 'r0.1.18 beta'
DATE = '2018/08/02'
|
# Code generated by `typeddictgen`. DO NOT EDIT.
"""V1beta1EndpointSliceDict generated type."""
from typing import TypedDict, List
from kubernetes_typed.client import V1ObjectMetaDict, V1beta1EndpointDict, V1beta1EndpointPortDict
V1beta1EndpointSliceDict = TypedDict(
"V1beta1EndpointSliceDict",
{
"add... |
from time import time
#define
NONE = 0
WHITE = 1
BLACK = 2
SIZE = 8
PLAYER = BLACK
# PLAYER = WHITE
NUM = 1000
board = [[NONE for i in range(SIZE)] for i in range(SIZE)]
turn = BLACK
def printb():
print(end="\n ")
for i in range(SIZE):
print(" ", i + 1, end="")
print("\n -------... |
# ----------------------------------------------------------------------
# Collections manipulation
# ----------------------------------------------------------------------
# Copyright (C) 2007-2017 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Pyt... |
"""
This example introduces the use of TFLearn functions to easily summarize
variables into tensorboard.
TFLearn can summarize:
- Loss / Accuracy: The model loss and accuracy over training steps.
- Activations: Histogram of operation output values.(Requires to add each
activation to monitor into tf.Graphkeys.ACTIV... |
#v2.1.0
#https://github.com/romanvm/script.module.simpleplugin/releases
from simpleplugin import * |
from pathlib import Path
from os.path import dirname
import pytest
import miniflask # noqa: E402
def init_mf():
return miniflask.init(module_dirs=str(Path(__file__).parent / "modules"), debug=True)
all_modules = ["otherdir", "otherdir.module2", "parentdir", "parentdir.module1", "parentdir.module2", "parentdir.... |
class Solution:
def summaryRanges(self, nums: List[int]) -> List[str]:
if not nums:
return []
res, i, start = [], 0, 0
while i < len(nums)-1:
if nums[i]+1 != nums[i+1]:
res.append(self.printRange(nums[start], nums[i]))
... |
# -*- coding: utf-8 -*-
#
# ke_model.py
#
# Copyright 2020 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.
# You may obtain a copy of the License at
#
# http://www.apache.o... |
# Copyright 2020 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... |
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from __future__ import absolute_import, division, print_function
from cryptography import utils
from cryptography.exceptions import (
... |
from utility import db_access
films = db_access.list_of_all_films()
stores = db_access.list_of_all_stores()
template = "{:>5} {:30} {:>15} {:>15} "
row = template.format("ID", "Title", "In Inventory", "Rentals")
print(row)
for film in films:
film_id = film['film_id']
inventory = db_access.inventory_for_fi... |
#python standard library
import os
#this package
from iperflexer.iperfparser import IperfParser
from iperflexer.iperfexpressions import HumanExpression, ParserKeys, CsvExpression
import iperflexer.oatbran as bran
from iperflexer.coroutine import coroutine
class HumanExpressionSum(HumanExpression):
"""
Chang... |
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as st
# from scipy.special import erf
# Global variables that were just used in main
number_of_iterations = 100
z_range = 8
r = 0.9
r_s = 0.9
mean_gen = 0
sd_gen = 1
k_val = -2
percent_step = 0.33
# Global variables that are used in here (the mod... |
from itertools import chain
class Instrumento():
def tocar_individual(self):
raise NotImplementedError('Deve ser implementado')
class Violao(Instrumento):
def tocar_individual(self):
return 'Blem'
class Tambor():
def __init__(self):
self.flag = False
def tocar_individual(s... |
import hashlib
import json
import os
import shutil
import subprocess
import yaml
from .zulip_tools import parse_os_release, run
ZULIP_PATH = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
ZULIP_SRV_PATH = "/srv"
PUPPET_MODULES_CACHE_PATH = os.path.join(ZULIP_SRV_PATH, "zulip-puppet-cac... |
# -*- coding: utf-8 -*-
"""
CryoSolver package - Simulation example
@author: Sofiya Savelyeva, Steffen Klöppel
TU Dresden 2020
"""
"""
.........................................................................
Calculation of a turbine
"""
### REMOVE IF PACKAGE IS INSTALLED
import sys
path = '../'
if (pa... |
import warnings
warnings.filterwarnings("ignore")
import pandas as pd
import numpy as np
from sklearn.decomposition import PCA
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from scipy.signal import savgol_filter
from sklearn.base import BaseEstimator, TransformerMi... |
import numpy as np
import torch as t
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from .decoder import Decoder
from .encoder import Encoder
from selfModules.embedding import Embedding
from utils.functional import kld_coef, parameters_allocation_check, fold
from beam_searc... |
#!/usr/bin/env python3
import ness6rest
import argparse
nessus_url = "https://localhost:8834"
parser = argparse.ArgumentParser()
parser.add_argument('--login', required=True)
parser.add_argument('--password', required=True)
args = parser.parse_args()
scan = ness6rest.Scanner(url=nessus_url, login=args.login, passw... |
import tcod
from input_handlers import handle_keys
from game_states import GameStates
from render_functions import clear_all, render_all, RenderOrder
from map_objects.game_map import GameMap
from fov_functions import initialize_fov, recompute_fov
from entity import Entity, get_blocking_entity_at_location
from compon... |
#write import statement for Die class
from src.homework.homework9.die import Die
'''
Create a Player class.
'''
class Player:
def __init__(self):
'''
Constructor method creates two Die attributes die1 and die2
'''
self.die1 = Die()
self.die2 = Die()
def ro... |
import pandas as pd
import numpy as np
from .representation import DGM
from .factors import TableCPD
from .data_preparation import DiscreteDataPreparer
class ParameterEstimator:
def fit(self, graphical_model, data: pd.DataFrame, **options):
raise NotImplementedError()
class MleParameterEstimator:
def ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import faiss
import numpy as np
from scipy.sparse import csr_matrix
def get_prototypes(Y, Wx, B, num_pts_per_cluster):
""" Gets Z from embeddings and centroids
Args:
Y: sparse label matrix, (N... |
from setuptools import setup, find_packages
from setuptools.command.install import install
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="hyperparameter",
version="0.2.0",
description=
"A hyper-parameter library for researchers, data scientists and m... |
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
sys.path.insert(
0,
os.path.abspath(
os.path.join(os.path.dirname(__file__), "../mkdocs_exclude_search")
),
)
# pylint: disable=wrong-import-position,unused-import
from plugin import ExcludeSear... |
# Usage: >> python search_center_region.py --index index.csv --query queries/sample_query.jpg --result-path datacars
# or >> py search_center_region.py -i <your_index_filename> -q <your_query_image> -r <your_dataset>
# import the necessary packages
from module.colordescriptor import ColorDescriptor
from module.searche... |
CHANGE_DATAMGR_PERM = 'Change Session Data Manager'
MGMT_SCREEN_PERM = 'View management screens'
ACCESS_CONTENTS_PERM = 'Access contents information'
ACCESS_SESSIONDATA_PERM = 'Access session data'
ARBITRARY_SESSIONDATA_PERM = 'Access arbitrary user session data'
CHANGE_IDMGR_PERM = 'Change Browser Id Manager'
MANAGE_C... |
from PySide2.QtCore import Qt, QCoreApplication
from PySide2.QtGui import QShowEvent
from PySide2.QtWidgets import QDialog, QDialogButtonBox, QVBoxLayout, QFormLayout, QLabel, QComboBox, \
QWidget, QSizePolicy
from livia.input.DeviceFrameInput import Device
from livia_ui.gui.views.utils.DevicePanel import DevicePa... |
import math
import pandas as pd
import numpy as np
import rpy2.robjects as robj
import rpy2.robjects.packages as rpack
r = robj.r
from sklearn import datasets, preprocessing, metrics, ensemble
from ..util.data import install_package, fix_types, convert_to_numpy_columns, import_or_install
from ..util.formula import ad... |
import json
import jsonlines
import os
import time
import tensorflow as tf
from tqdm import tqdm
import numpy as np
from nets import c3d as model
from config import PredConfig as C
from dataset import load_train_dataset, load_test_dataset
# Basic model parameters
GPU_LIST = [ int(i) for i in os.environ["CUDA_VISIBL... |
#LING380 Final Project
#Chatbot
import random
import pickle
from nltk.corpus import wordnet as wn
from parsing import parser
botDict = {}
#'''
with open('responses.p','rb') as f: # opens (and closes) file to read (r) as bytes (b)
botDict = pickle.load(f)
#'''
def train(key, sent):
parsedSe... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import re
import sys
import argparse
import warnings
import collections
from flask import current_app
from werkzeug.utils import cached_property
from . import mimetype
from . import compat
from .compat import deprecated, usedoc
def defaultsnamedtuple(name, fields, defa... |
import unittest
import numpy as np
import torch
from scipy.spatial import distance
class test_utils(unittest.TestCase):
def test_import(self):
import utils
from utils import ddict
def test_ddict(self):
from utils import ddict
# Test basics
dd = ddict(a=1.0, b=[1,2])
... |
import requests
import time
from concurrent.futures.thread import ThreadPoolExecutor
from django.core.management.base import BaseCommand
from httpbench.header import get_username_header_key
from httpbench.throttle import Throttle
from typing import Iterator, Tuple
HEADER_KEY = get_username_header_key()
DEFAULT_TIMEOU... |
import asyncio
import discord
from discord.ext import commands
from Cogs import Message
from Cogs import DL
from Cogs import PickList
import urllib
import re
def setup(bot):
# Add the bot
bot.add_cog(IntelArk(bot))
class IntelArk(commands.Cog):
def __init__(self, bot):
self.bot = bo... |
#!/usr/bin/env python
import rospy
from sensor_msgs.msg import Image
from mbzirc_comm_objs.msg import ObjectDetection, ObjectDetectionList
class MetricsCounter(object):
def __init__(self):
self.frame_count = 0
self.detection_list_count = 0
self.circle_count = [ 0, 0, ... |
from cassandra.query import SimpleStatement
from flask import abort
from gsrest.db.cassandra import get_session
from gsrest.model.addresses import AddressTx, \
AddressOutgoingRelations, AddressIncomingRelations
from gsrest.service.entities_service import get_entity, get_id_group
from gsrest.service.common_service ... |
# coding=utf-8
# Copyright 2020 The Google Research 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 applicab... |
from . import singleton_cli
from . import atable
from . import aanalysis
from . import sets
from . import isets
from . import icompression
from . import pgm
from . import aanalysis
from . import plotdata
from . import ray_cluster |
import cdms2
import string
##############################################################################
# PJG 20130522
# THIS FUNCTION IS EXPECTED TO BE MODIFIED BY USERS. IT IS MEANT TO POINT TO
# MODEL OUTPUT CLIMATOLOGIES THAT ARE USED BY THIS PACKAGE, IN PARTICULAR
# interpolate_new_model_to_metrics_grid.py
... |
"""template demo"""
from xtapi import MainApp, Templates, Request
app = MainApp()
templates = Templates(directory='html')
@app.get("/")
async def root(request: Request):
return templates.render('index.html', {"request": request})
if __name__ == '__main__':
app.run(name='template_demo:app', reload=True)
|
from vtk import *
import os.path
xmlRootDir = "../../../../VTKData/Data/Infovis/XML/"
if not os.path.exists(xmlRootDir):
xmlRootDir = "../../../../../VTKData/Data/Infovis/XML/"
treeReader = vtkXMLTreeReader()
treeReader.SetFileName(xmlRootDir+"vtklibrary.xml")
treeReader.SetEdgePedigreeIdArrayName("tree edge")
tree... |
from fabric.api import *
import subprocess
main_dir = subprocess.check_output("git rev-parse --show-toplevel", shell=True).rstrip()
env.warn_only = True
# Testing
@task
def test_role(puppetrole='docker_test_role', image='centos-7') :
"""[local] Test a role on the specified OS on a Docker image"""
local( 'cd ' + ... |
import argparse
import os
import string
import time
from string import punctuation
import torch as t
from model.rvae import RVAE
from nltk.corpus import stopwords
from nltk.translate.bleu_score import sentence_bleu
from pymystem3 import Mystem
from rouge import Rouge
from stop_words import get_stop_words
from torch.au... |
"""Support for HomeKit Controller air quality sensors."""
from aiohomekit.model.characteristics import CharacteristicsTypes
from aiohomekit.model.services import ServicesTypes
from openpeerpower.components.air_quality import AirQualityEntity
from openpeerpower.core import callback
from . import KNOWN_DEVICES, HomeKit... |
# circulaRprint #
# Circular Plotter controller for Raspberry Pi #
# Author: Oehrly, 2018 #
#################################################
#
# draws the calculated x-y-points on screen
# as it is drawing based on x-y coordinates if stepper class or the calcul... |
example = """
# Inline
An [external]( https://spec.commonmark.org/0.29/#link-reference-definitions 'Common Mark Spec') link. An [internal](:/bbca0bcbc64541d5bfdbf7678217006e) link.
# References
An [other external] link. An [other internal] link.
[other external]: https://spec.commonmark.org/0.29/#link-reference-defi... |
from celery import shared_task
@shared_task
def hello():
print("hello there!")
|
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: wxnacy(wxnacy@gmail.com)
# Description:
import hashlib
from urllib.request import urlopen
class MD5():
@classmethod
def encrypt(cls, text):
"""
计算字符的md5摘要
:param str:
:return:
"""
return hashlib.md5(text.enc... |
"""
Functions to access information about recipy's environment.
"""
# Copyright (c) 2015-2016 University of Edinburgh and
# University of Southampton.
from __future__ import (nested_scopes, generators, division,
absolute_import, with_statement,
print_function, unicode_l... |
import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name='alpaca_kernel',
version='0.1.19',
author='Thijn Hoekstra',
author_email='t.w.hoekstra@student.tudelft.nl',
description='Fork of jupyter_micropython_kernel by goatchurchpr... |
from __future__ import annotations
import itertools
import multiprocessing
import os
import pickle
import string
import uuid
from collections import defaultdict
from dataclasses import dataclass, field
from functools import partial
from itertools import chain
from multiprocessing import get_context
from typing import ... |
# Development settings
from .base import *
SECRET_KEY = "0hgq)139a$a!9+$gh^y2#qdtrl)h#lf*u&5(uwz@#82^)-hrbz"
DEBUG = True
ALLOWED_HOSTS = ["localhost", "127.0.0.1"]
DATABASES = {
"default": {
"ENGINE": "django.db.backends.postgresql",
"NAME": "BlogDjango", # postgres db name
"USER": "k... |
from dataclasses import dataclass
from cltl_service.backend.schema import TextSignalEvent
from emissor.representation.container import Index
from emissor.representation.scenario import Modality, TextSignal
@dataclass
class TripleExtractionTextSignalEvent(TextSignalEvent):
confidence: float
audio_segment: Ind... |
from keras.models import Sequential,Model,model_from_json
from keras.models import Model,Sequential, Input, load_model
from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D, BatchNormalization, AveragePooling2D, GlobalAveragePooling2D
from keras.applications import VGG16, DenseNet201
from keras.optimizers... |
from sstcam_sandbox.plotting.setup import Plotter
from sstcam_sandbox import get_plot
from sstcam_sandbox.d190209_spectra.spe_numba import sipm
import numpy as np
from tqdm import tqdm
class xyPlotter(Plotter):
def plot(self, x, y):
self.ax.plot(x, y)
kwargs = dict(
norm=1,
eped=0,
eped_sigm... |
#!/usr/bin/python
import MySQLdb
# Get connect to MySQL daemon
db = MySQLdb.connect(host = "localhost", user = "user", passwd = "userpass",
db = "sproject")
# Create the Cursor object to execute all queries
c = db.cursor()
# Ok, do the job!
c.execute("SELECT * FROM status")
# Save the query result
data = c.fe... |
#! /usr/bin/env python
'''
Solvers and example test cases for Day 10 of the Advent of Code 2021.
Problem description: <https://adventofcode.com/2021/day/10>
'''
from typing import Iterable, Optional
import unittest
def part1(lines: Iterable[str]) -> int:
'''
Solver for Day 10, part 1
'''
score = 0
... |
### This is test App: manu-hello-world-app##
## ##
from __future__ import division, print_function
# coding=utf-8
import sys
import os
import glob
import re
import numpy as np
import time
from math import ceil
# Keras
from keras.models import load_model
from imageio import imread
from keras.preprocessing import imag... |
"""
SPDX-Copyright: Copyright (c) Schoening Consulting, LLC
SPDX-License-Identifier: Apache-2.0
Copyright 2021 Schoening Consulting, 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
http://... |
from django.test import TestCase
from rest_framework.reverse import reverse
from rest_framework.test import APIClient
from rest_framework.authtoken.models import Token
from django.contrib.auth.models import User
def noaccess(self):
"""Expect no unauthorized access to the endpoint"""
self.assertEqual(self.clie... |
import re
from argparse import BooleanOptionalAction
from typing import List, Union, Optional
from clavier import log as logging
from genie_client_cpp.config import CONFIG
from genie_client_cpp.remote import Remote
from genie_client_cpp.context import Context
from . import remove
from . import kill
from . import buil... |
import os
import unittest
from src import app
class BasicTests(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_main_page(self):
response = self.app.get('/', follow_redirects=True)
self.assertEqual(response.status_code, 200)
def registe... |
from __future__ import absolute_import
import flask
from flask import Blueprint
import pale
RESPONSE_CLASS = flask.Response
class ContextualizedHandler(object):
"""Flask route functions get called with no arguments unless there are
arguments specified in the route path. This contextualizer object wraps
... |
# importing the modules
import turtle
import random
import time
# variables
delay = 0.1
score = 0
high_score = 0
screen = turtle.Screen()
screen.title("snake game")
screen.bgcolor("green")
screen.setup(width=700, height=700)
screen.tracer(0)
# screen border
border_pen = turtle.Turtle()
border_pen.... |
#! /usr/bin/env python
"""
File: Polynomial_dict.py
Copyright (c) 2016 Austin Ayers
License: MIT
Course: PHYS227
Assignment: 7.28
Date: April 3, 2016
Email: ayers111@mail.chapman.edu
Name: Austin Ayers
Description: Uses a dictionary to hold coefficients, and changes the add function so that it uses a dictionary
"""
... |
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