content stringlengths 5 1.05M |
|---|
import re
from datetime import datetime
from typing import List
from . import Command
from ...config import get_config_value
from ...plugins.actions import ActionPlugin
from ...utils.cyclic_list import CyclicList
from ...utils.time_utils import is_it_late, is_today_a_workday, next_workday, now, next_workday_string, DA... |
import os
from shutil import copyfile
import shutil
base_folder = "Data_raw/house_test/"
to_folder = "Data_raw/house_single_test/"
fw_train = open(to_folder+"train.txt", "w+")
fw_test = open(to_folder+"test.txt", "w+")
total_count = 0
for name in os.listdir(base_folder):
idx_count = 0
if not name.startswith(".") an... |
import visualpriors
import torch
from config.config import device
def mid_level_representations(input_image_tensor, representation_names):
"""
:param input_image_tensor: (batch_size, 3, 256, 256)
:param representation_names: list
:return: concatted image tensor to pass into FCN (batch_size, 8*len(re... |
"""Main module."""
import csv
import logging
from io import StringIO
from .client import CellarTrackerClient
from .enum import CellarTrackerFormat, CellarTrackerTable
_LOGGER = logging.getLogger(__name__)
class CellarTracker(object):
"""
CellarTracker is the class handling the CellarTracker data export.
... |
import json
import pandas as pd
import argparse
import script_util as su
import scipy.stats as st
def compute_scores(summary_df, fc, bc):
alpha = 0.05
summary_df["wald_reject"] = (summary_df["wald_p"].astype(float) < alpha).astype(int)
summary_df["cmh_reject"] = (summary_df["cmh_p"].astype(float) < alph... |
from saien import login_manager
from saien.models import User
from flask_login import current_user
@login_manager.user_loader
def load_user(user):
if user is not None:
return User.query.get(user)
return None
@login_manager.unauthorized_handler
def unauthorized():
return "NO PERMISSION"... |
import os
from argparse import ArgumentParser, Namespace
from pprint import pformat
from urllib.parse import urlparse
import numpy as np
import pandas as pd
import torch
from attr import asdict
from allrank.click_models.click_utils import click_on_slates
from allrank.config import Config
from allrank.data.dataset_loa... |
# Copyright 2018 D-Wave 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 law o... |
import hashlib
def hashData(data: str) -> str:
hashobj = hashlib.sha1(data.encode())
digest = hashobj.hexdigest()
return digest
d = hashData("This is my testing string")
print(d)
# hashlib.sha256(data.encode())
|
class NumberingException(Exception):
pass
|
#############################################################################
#
#
# CSS Style webGenFramework module to BFA c7
#
#
#############################################################################
""" This is a CSS style module for a simple HTML/JS/CSS generator/framework with the purpose of maintaining t... |
import sys
import os
from os.path import join as pjoin
import json
import shutil
from os import makedirs
from textwrap import dedent
from nose.tools import eq_, ok_
from .utils import (temp_working_dir, temp_working_dir_fixture, assert_raises,
cat)
from ..fileutils import touch
from .. import buil... |
from django.contrib import admin
# Register your models here.
from .models import Notion, NotionLike
class NotionLikeAdmin(admin.TabularInline):
model = NotionLike
class NotionAdmin(admin.ModelAdmin):
list_display = ['__str__', 'user']
search_fields = ['user__username', 'user__email']
class Meta:
... |
from datetime import datetime
import tensorflow as tf
flags = tf.app.flags
flags.DEFINE_string('DATA_PATH', "dataset/DATA_FILE_PATH", "")
flags.DEFINE_string('LABEL_PATH', "dataset/LABEL_FILE_PATH", "")
flags.DEFINE_string('DICT_PATH', "dictionary/DICT_FILE_PATH", "")
flags.DEFINE_integer('VOCAB_SIZE', 20000, '')
f... |
# PyTrace: Prototyping iterative raytracing
from math import sqrt
import time
class vec3:
'3d vector class'
def __init__(self, x = 0, y = 0, z = 0):
self.x = x
self.y = y
self.z = z
# settting new coordinates to vector
def set(self, x, y, z):
self.x = x
... |
import wx
import re
from Properties import *
from DynamicDialog import *
class ChoiceWidget:
def __init__(self, property):
self.property = property
self.isChecked = False
def CreateWidget(self, parentFrame):
box = wx.BoxSizer(wx.HORIZONTAL)
checkId = wx.NewId()
control = wx.Chec... |
import urllib.parse
import urllib.request
import sys
import socket
import re
def Main():
host = "67.222.1.194"
port = 80
mysocket = socket.socket()
mysocket.connect((host, port))
message = input("->")
while message != 'q':
mysocket.send(message.encode())
... |
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function)
import os
from .. import Backend
if os.environ.get('SYM_STRICT_TESTING', '0')[:1].lower() in ('1', 't'):
AVAILABLE_BACKENDS = list(Backend.backends)
else:
AVAILABLE_BACKENDS = []
for k in Backend.backends:
... |
"""WizardKit: repairs module init"""
# vim: sts=2 sw=2 ts=2
import platform
if platform.system() == 'Windows':
from . import win
|
import torch
import argparse
def parameter_setup():
parser = argparse.ArgumentParser()
# Training Parameters
parser.add_argument("-p",
"--pretrain",
help="Turn on training model from scratch",
action="store_true",
... |
from pathlib import Path
import pytest
from hyperstyle.src.python.review.application_config import LanguageVersion
from analysis.src.python.evaluation.common.pandas_util import (
equal_df, filter_df_by_language, get_solutions_df_by_file_path,
)
from analysis.test.python.evaluation import PANDAS_UTIL_DIR_PATH
from ... |
import torch
import os
import glob
from torch.utils.data import Dataset
import numpy as np
from PIL import Image
from torchvision import transforms
from monoscene.data.utils.helpers import (
vox2pix,
compute_local_frustums,
compute_CP_mega_matrix,
)
class KittiDataset(Dataset):
def __init__(
s... |
#
# PySNMP MIB module HP-PROCURVE-420-PRIVATE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HP-PROCURVE-420-PRIVATE-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:36:10 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python versio... |
#!/usr/bin/env python
""" Usage:
python split_sequences_by_domain.py input_taxa_file input_fasta_to_split output_16S_fasta output_18S_fasta
"""
from sys import argv
from cogent.parse.fasta import MinimalFastaParser
input_taxa = open(argv[1], "U")
input_fasta = open(argv[2], "U")
output_bact_arch = open(argv[3], "w... |
import numpy as np
import pandas as pd
import time, datetime
#df_train = pd.read_csv('train_data/train_task_1_2.csv')
answer_sorted = pd.read_csv('answer_metadata_sorted_1_2.csv')
answer_sorted = np.array(answer_sorted)
answer_dict = {}
count = 0
quiz_dict = {}
for item in answer_sorted:
count+=1
... |
# -*- coding: utf-8 -*-
"""Predicting the price of house.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1Xz1nrYtWKSFwecExkEnfzDlWIcdT2CK0
<h1>Predicting the price of house</h1>
"""
# Commented out IPython magic to ensure Python compatibility.
i... |
from pyspark.sql.functions import (
count, first, grouping,
mean, stddev, covar_pop,
variance, coalesce,
sum as spark_sum,
min as spark_min,
max as spark_max
)
__all__ = [
"SparkMethods",
"ClassType",
"ClassName",
"InstanceError",
"FormatRead",
"PathWrite",
"FormatW... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from ..autograd_cryptensor import AutogradCrypTensor
from .module import Module
class _Loss(Module):
"""
Bas... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for the fake file system implementation."""
import unittest
from dfvfs.path import fake_path_spec
from dfvfs.resolver import context
from dfvfs.vfs import fake_file_system
from tests import test_lib as shared_test_lib
class FakeFileSystemTest(shared_test_lib.B... |
#!/usr/bin/python3
#=========================== begin_copyright_notice ============================
#
# Copyright (c) 2020-2021 Intel Corporation
#
# 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 Sof... |
# This is an additional feature for LCD in Ardupy on Wio Terminal
class LCD_print:
def __init__(self, lcd, font_size, bg_color=None, fg_color=None):
self.prints = []
self.pl = 10 * font_size # Per line has 10 pixels height per font size
self.lcd = lcd
if bg_color == None:
... |
# Copyright 2014 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
#
# https://aws.amazon.com/apache2.0/
#
# or in the "license" file accomp... |
#
# voice-skill-sdk
#
# (C) 2020, Deutsche Telekom AG
#
# This file is distributed under the terms of the MIT license.
# For details see the file LICENSE in the top directory.
#
#
# Type hints processing
#
import inspect
import logging
from typing import AbstractSet, Any, Callable, Dict, List, Optional, Tuple, Type, ... |
"""Contains utilities that extend the Django framework."""
from django.db import models
class PycontModel(models.Model):
"""Base model for the entire application, adding created_at and last_updated_at columns."""
class Meta:
"""Make it abstract."""
abstract = True
created_at = models.Da... |
# The RenderPasses and UI code are kept in this file to make it executable in Blender without the need to install it as addon.
import bpy
import os
import sys
import random
from mathutils import Vector
class RenderPasses:
COMBINED = 'Combined'
ALPHA = 'Alpha'
DEPTH = 'Depth'
MIST = 'Mist'
NORMAL = 'Normal... |
import numpy as np
import functions.kernel.conv_kernel as convKernel
import tensorflow as tf
def kernel_bspline_r4():
kernel_r4 = convKernel.convDownsampleKernel('bspline', 3, 15, normalizeKernel=1)
kernel_r4 = np.expand_dims(kernel_r4, -1)
kernel_r4 = np.expand_dims(kernel_r4, -1)
kernel_r4 = tf.cons... |
def render_graph_GBufferRT():
loadRenderPassLibrary("GBuffer.dll")
tracer = RenderGraph("RtGbuffer")
tracer.addPass(RenderPass("GBufferRT"), "GBufferRT")
tracer.markOutput("GBufferRT.posW")
tracer.markOutput("GBufferRT.normW")
tracer.markOutput("GBufferRT.bitangentW")
tracer.markOutput... |
import warnings
from typing import Any, Callable, Dict, List
import numpy as np
from gym.spaces import Box, Dict
from multiworld.core.multitask_env import MultitaskEnv
from rlkit import pythonplusplus as ppp
from rlkit.core.distribution import DictDistribution
from rlkit.envs.contextual import ContextualRewardFn
from... |
import hydra
from omegaconf import DictConfig
from src.toxic.data.data_module import DataModule
from src.toxic.modelling.model import Model
from src.toxic.training import Trainer
from src.toxic.utils.random import set_seed
@hydra.main(config_path='conf', config_name='config')
def train(config: DictConfig):
set_s... |
import os
HERE = os.path.abspath(os.path.dirname(__file__))
TEMPLATES_DIR = os.path.join(HERE, "templates") |
from easydict import EasyDict as edict
cfg = edict()
cfg.nid = 1000
cfg.arch = "osnet_ain" # "osnet" or "res50-fc512"
cfg.loadmodel = "trackers/weights/osnet_ain_x1_0_msmt17_256x128_amsgrad_ep50_lr0.0015_coslr_b64_fb10_softmax_labsmth_flip_jitter.pth"
cfg.frame_rate = 30
cfg.track_buffer = 240
cfg.conf_thres =... |
import re
from collections import Counter, OrderedDict
from poetics.patterning import assign_letters_to_dict
########################################################################################################################
# Tokenizing
#########################################################################... |
# -*- 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
# (the "Lic... |
import copy
def main():
n, m = map(int, input().split())
bars = sorted(map(int, input().split()))
dp = [[0] * (m + 1) for _ in range(2)]
idx = 0
idx_prev = 1
for i in range(n):
bar = bars[i]
dp[idx] = copy.copy(dp[idx_prev])
for j in range(bar, m + 1):
... |
#
# PySNMP MIB module TPLINK-PROXYARP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/TPLINK-PROXYARP-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:25:41 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... |
# 3rd party
from nose.plugins.attrib import attr
# Agent
from checks import AgentCheck
from tests.checks.common import AgentCheckTest
@attr(requires='gearman')
class GearmanTestCase(AgentCheckTest):
CHECK_NAME = "gearmand"
def test_metrics(self):
tags = ['first_tag', 'second_tag']
service_ch... |
#!/usr/bin/env python
# -*- coding:UTF-8 -*-
# Server that adds an object to the database
import rospy
from object_recognition_core.db import models
from object_recognition_core.db.tools import args_to_db_params
import object_recognition_core.db.tools as dbtools
import couchdb
from ork_interface.srv import *
DEFAU... |
import numpy as np
import pandas as pd
from sklearn.metrics import r2_score
from scipy.stats import norm
def PICP(posterior, data, CI):
final = pd.read_csv(posterior)
final.set_index('Unnamed: 0', inplace=True)
observed = pd.read_csv(data)
upper_ci = (100-(100-CI)/2)/100
lower_ci = ((100-CI)/... |
# 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, software
# distributed under t... |
from models.worker.macro_cnn_worker import MacroCNN, MacroCNNlight
__all__ = ['MacroCNN', 'MacroCNNlight']
def get_worker(args, architecture=None) :
if args.task_type == 'vision' :
if args.worker_type == 'macro' :
if args.controller == 'enas' :
worker = MacroCNN(args, architecture)
elif args.controller... |
#Import Libraries
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sk... |
# Exercício 1 - Crie uma estrutura que pergunte ao usuário qual o dia da semana. Se o dia for igual a Domingo ou
# igual a sábado, imprima na tela "Hoje é dia de descanso", caso contrário imprima na tela "Você precisa trabalhar!"
"""
dia = str(input("Qual dia da semana é hoje? ")).lower()
if dia == "sabado" or dia == "... |
import asab
class MinimailerService(asab.Service):
def __init__(self, app, service_name="minimailer.MinimailerService"):
super().__init__(app, service_name)
# Key-value registry of mailers
# where key is a user-defined mailer id
# and value a MailerEngine id
self.MailerRegistry = {}
def register_mailer... |
from elasticsearch import Elasticsearch, TransportError, RequestsHttpConnection
from elasticsearch.helpers import streaming_bulk
import certifi
import time
import getopt
import sys
import csv
csv.field_size_limit(sys.maxsize)
help = """
This python utility helps with uploading CSV files of any size to Elasticsearch. ... |
from .this_file import function_name, other_function
from ... top.middle.lower.filename import Class1, Class2
import pytest
def test_alive():
""" Does our test file even run
"""
pass
def test_function_name_exists():
""" can we see the basic function
"""
assert function_name
@pytest.fixtur... |
"""Test module for primary command line interface."""
import sys
import unittest
from unittest.mock import patch
from io import StringIO
from pylint_fail_under.__main__ import main
class _MockPylintLinter: # pylint: disable=too-few-public-methods
def __init__(self, score):
self.stats = {"global_note":... |
"""
P(ssh = down | state = ok) = 0
P(ssh = up | state = ok) = 1
"""
""" Determine the state based on the indicators """
def analyze(status):
if not status['SSH'] and status['REASON'] == 'Not responding' and status['POWER'] == 'on':
return 'NODE_KILLED_IPMI_ON'
if not status['SSH'] and status['REASON'] ... |
#!/usr/bin/env python3
# Copyright 2020 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
"""
Created By : Ubaidullah Effendi-Emjedi
LinkedIn :
Icon By : https://www.flaticon.com/authors/freepik
"""
import sys
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QApplication, QAction, qApp, QFileDialog
from checksum import *
from pyqt_creator import *
class checksum_window(QMainWindow):
"""
... |
from freemium.tests import *
from freemium.tests import Session, metadata
class TestElixir(TestModel):
def setUp(self):
TestModel.setUp(self)
def test_metadata(self):
assert 'A collection of Tables and their associated schema constructs.' in metadata.__doc__
def test_session(self):
... |
class Solution:
def gcdOfStrings(self, str1: str, str2: str) -> str:
n = math.gcd(len(str1), len(str2))
if str1 + str2 == str2 + str1:
return str1[:n]
return ''
|
# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
from azure.ai.ml.constants import AutoMLConstants
from azure.ai.ml._schema.automl.image_vertical.image_vertical import ImageVerticalSchema
... |
from flask_appbuilder import Model
from sqlalchemy import Table, Column, Integer, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
from . import appbuilder, db
"""
You can use the extra Flask-AppBuilder fields and Mixin's
AuditMixi... |
# /bin/env python3 python3 main.py
# Author: otonroad
# Date: Dec. 2020
# Version: 1.0
# License: MIT
# this is the main file of the project
# Importing the libraries
from translate import Translator, translate
import os
import requests
from selenium import webdriver
from time import sleep
def get_html_snapshot(nam... |
import django_filters
from graphene_django.filter import GlobalIDMultipleChoiceFilter
from ...shipping.models import ShippingZone
from ..channel.types import Channel
from ..core.types import FilterInputObjectType
from ..utils import resolve_global_ids_to_primary_keys
from ..utils.filters import filter_fields_containin... |
# Importing the required modules
from termcolor import colored
from.get import get
# The function to get your own balance
def balance(currency_module) -> None:
"""
This function is used to get your own current balance, i.e, get the number of tokens that you hold.
"""
details = get(currency_module)
... |
# coding: utf-8
"""
Hydrogen Integration API
The Hydrogen Integration API # noqa: E501
OpenAPI spec version: 1.3.1
Contact: info@hydrogenplatform.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from integration_api.con... |
import os
import sys
import glob
import cc3d
import pandas as pd
import numpy as np
import itertools
sys.path.insert(0, os.path.abspath('../'))
from core.metrics import numpy_soft_dice_coeff
from core.generator import get_onehot_labelmap, get_unique_patient_finger_list
from contextlib import redirect_stdout
from cnn.c... |
# Reference to https://github.com/AntonKueltz/fastecdsa
from binascii import hexlify
from os import urandom
from typing import Callable, Tuple
from cipher.curve import Curve, Point
def gen_keypair(curve: Curve, randfunc: Callable = None) -> Tuple[int, Point]:
randfunc = randfunc or urandom
private_key = gen... |
import unittest
from django.test import TestCase
from book.models import Book
from model_mommy import mommy
from .random_string_generator import random_string_generator
from .unique_slug_field_generator import unique_slug_generator
class TestStringMethods(TestCase):
def test_random_string_generator_with_default_l... |
"""Endpoint for submitting new tests and viewing results."""
import base64
import json
import logging
import os
import urllib
from ..shared import http, decorators, mongo, users, core, common
from . import validators
import azure.functions as func
from bson import ObjectId
import cerberus
from jose import jws
@deco... |
import numpy as np # used to handle all the multi dimensional arrays within the picture
import cv2
img = cv2.imread('scene_jpg.jpg', 1) # used to read an colourful image
cv2.imshow('Original', img) # to display image
cv2.waitKey(0)
cv2.destroyAllWindows()
|
# ******************************************************************************
# Copyright (C) 2020-2021 Habana Labs, Ltd. an Intel Company
# ******************************************************************************
import argparse
import os
def default_dataset_dir(dataset_dirs):
for dir in dataset_dirs:
... |
__author__ = 'Shaban Hassan [shaban00]'
from typing import Callable, Dict, List
from flask import Flask
from flask_restful import Api, Resource
from flask_socketio import SocketIO
def add_api_resource(resource: Resource, urls: tuple, endpoint: str, api: Api) -> None:
urls = tuple([f"/api/v1/{route}" for route in... |
# -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'TranslatedEmailTemplate'
db.create_table(u'post_office_tr... |
#
# PySNMP MIB module NTWS-SYSTEM-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NTWS-SYSTEM-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:25:49 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27... |
# Generated by Django 4.0.3 on 2022-03-21 06:44
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Address',
fields=[
... |
from pprint import pprint
from optparse import OptionParser
from settings import load_env_variables
from MixcloudSpider import LeftoSpider
from TracklistParser import prepare_spotify_search
from SpotifyPlaylistManager import search_track
import spotipy.util as util
import spotipy
parser = OptionParser()
parser.add_opt... |
import discord
import time
client = discord.Client()
prefixes = ["!qt",";;","!","!b"]
@client.event
async def on_ready():
print("The bot is ready!")
def test_prefixes(message_content):
if len(message_content) <= 2:
return False
if len(message_content) >= 3:
if message_content[:1] == "!":
... |
from .Account import Account
from .User import User
|
from __future__ import print_function, absolute_import
import netCDF4
import numpy
import xarray as xr
import pytest
from hypothesis import given
from hypothesis.strategies import text
from tests.conftest import tmpnetcdf_filename as get_tmpnetcdf_filename
import string
from datacube.model import Variable
from datacu... |
#!/usr/bin/env python
# Retrieved from http://ecdsa.org/ecdsa.py on 2011-10-17.
# Thanks to ThomasV.
# 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 the Free Software Foundation, either version 3 of the
# License, o... |
import pytest
from django.utils.timezone import now, timedelta
from discount.models import Discount
@pytest.mark.django_db
def test_discount_model():
discount = Discount(code="DIS20", value=5, description="Some discount",
created=now(), ended=now() + timedelta(days=2))
discount.save()... |
import sys
from PySide6.QtWidgets import QApplication
from todo.main_window import MainWindow
def main():
app = QApplication(sys.argv)
mainWin = MainWindow()
mainWin.show()
sys.exit(app.exec_())
if __name__ == '__main__':
main()
|
#!/usr/bin/env python
"""
"""
import vtk
def main():
colors = vtk.vtkNamedColors()
fileName = get_program_parameters()
# Read the image.
readerFactory = vtk.vtkImageReader2Factory()
reader = readerFactory.CreateImageReader2(fileName)
reader.SetFileName(fileName)
reader.Update()
ca... |
"""Test state getters for retrieving geometry views of state."""
import pytest
from decoy import Decoy
from typing import cast
from opentrons.calibration_storage.helpers import uri_from_details
from opentrons_shared_data.deck.dev_types import DeckDefinitionV2
from opentrons.protocols.models import LabwareDefinition
fr... |
# Copyright (c) 2018 The Regents of the University of Michigan
# All rights reserved.
# This software is licensed under the BSD 3-Clause License.
from __future__ import absolute_import
import unittest
import os
import io
import warnings
import logging
import uuid
import copy
import random
import json
from contextlib im... |
#!/bin/python3
import sys
arr = [float(arr_i) for arr_i in input().strip().split(' ')]
mean1 = arr[0]
mean2 = arr[1]
print(round(160+40*(mean1+mean1**2), 3))
print(round(128+40*(mean2+mean2**2), 3))
|
import numpy as np
"""
Attributes:
n_units: int
Number of units in the layer
W: n_units_in_prev_layer * n_units_in_this_layer numpy array
Weights of this layer
b: n_units_in_current_layer * 1 numpy array
biases of this layer
activation: activation object
activation_name: string
Name of activation fun... |
# -*- coding: utf-8 -*-
# Resource object code
#
# Created: pt. sie 29 14:02:38 2014
# by: The Resource Compiler for PyQt (Qt v4.8.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore
qt_resource_data = b"\
\x00\x00\x07\xb3\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\... |
from os import name
from utilities import MODULE_CONTEXT, userutils
from db import get_db
from utilities import UserUtils
from .response import post_error
from datetime import datetime, timedelta
from utilities import UserUtils, normalize_bson_to_json
import time
import config
from config import USR_KEY_MONGO_COLLECTIO... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-27 00:03
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('recipes', '0026_merge_20161127_0003'),
]
operations = [
migrations.RemoveFi... |
"""Read hosts from LSF."""
import re
from subprocess import Popen, PIPE, check_output
def parseval(val):
"""Parse a value that could be int, float, % or contain a memory unit."""
if val == "-":
return None
if re.match("\d+$", val):
return int(val)
if re.match("\d+(.\d+)?([eE][+-]\d+)?... |
import factory
from .models import DelStavbe
from .models import Stavba
from .models import Skupina
from .models import Podskupina
from .models import ProjektnoMesto
class StavbaFactory(factory.DjangoModelFactory):
class Meta:
model = Stavba
oznaka = factory.Sequence(lambda n: '{0}'.format(n))
... |
from sst.actions import *
go_to('http://seleniumhq.org/')
assert_title('Selenium - Web Browser Automation')
|
from basicobject import BasicObject, BasicObjectEncoder
from odinconfigparser import OdinConfigParser
from asthelpers import AsteriskHelper
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# FOGLAMP_BEGIN
# See: http://foglamp.readthedocs.io/
# FOGLAMP_END
""" Common module for the interaction with OSI OCS (OSIsoft Cloud Services) """
import requests
import json
__author__ = "Stefano Simonelli"
__copyright__ = "Copyright (c) 2018 OSIsoft, LLC"
__license_... |
# -*- coding: utf-8 -*-
class EscapeAlEscape(object):
def solve(self, input_log):
all_ones = all([bool(int(i)) for i in input_log])
all_zeroes = all([not bool(int(i)) for i in input_log])
if all_ones or all_zeroes:
sep_long = 1
else:
sep_long = ((len(input_... |
# Generated by Django 2.1.2 on 2018-11-04 16:16
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('game_catalog', '0010_auto_20181104_1036'),
]
operations = [
migrations.RemoveField(
model_name=... |
'''
import random
## random choice will choose 1 option from the list
randnum = random.choice(['True', 'False'])
print(randnum)
'''
class Enemy:
def __init__(self):
pass
self.health = health
self.attack = attack
def health(self):
pass
def attack(self):
pass
class Player(Enemy):
d... |
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