content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
"""Try out other sklearn score to measure the
"""
import os
import sys
import glob
import numpy as np
import argparse
import tqdm
import matplotlib.pyplot as plt
from sklearn.neighbors import LocalOutlierFactor
from pathlib import Path
sys.path.append('../')
from eval.metric import silhouette, hsic_gam_mat, inertia_ap... | python |
from setuptools import find_packages, setup
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name="ml_example",
packages=find_packages(),
version="0.1.0",
description="Example of ml project",
author="Your name (or your organization/company/team)",
entry_points=... | python |
import shutil
from dataclasses import dataclass
from pathlib import Path
import requests
from mealie.core import root_logger
from mealie.schema.recipe import Recipe
from mealie.services.image import minify
logger = root_logger.get_logger()
@dataclass
class ImageOptions:
ORIGINAL_IMAGE: str = "original.webp"
... | python |
"""
Mesh Normalization
"""
import os
import sys
import cv2
import numpy as np
from scipy import io as io
import torch
import pickle
import trimesh
import argparse
from external.smplx.smplx import body_models
sys.path.insert(0, '../external/pyrender')
import pyrender
def main(opt):
model = body_models.create(mo... | python |
import logging
import time
from datetime import datetime
import IOstation
import clim2bry
import configM2R
import decimateGrid
import model2roms
__author__ = 'Trond Kristiansen'
__email__ = 'trond.kristiansen@niva.no'
__created__ = datetime(2009, 1, 30)
__modified__ = datetime(2021, 7, 27)
__version__ = "1.6"
__statu... | python |
from gpt2.data.dataset import Dataset
from gpt2.data.vocabulary import Vocab
from gpt2.data.tokenization import Tokenizer
from gpt2.data.corpus import TokenizedCorpus
| python |
aspect_ratio=1.0
batchSize=1
checkpoints_dir='../checkpoints/'
cluster_path='features_clustered_010.npy'
data_type=32
dataroot='./data/1/test'
display_winsize=512
engine=None
export_onnx=None
feat_num=3
fineSize=512
fine_size=480
how_many=50
input_nc=3
instance_feat=False
isTrain=False
label_feat=False
label_nc=36
load... | python |
# 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 in writing, software
# d... | python |
"""Test for kernel functionality."""
import functools
import jax
import jax.numpy as jnp
import pytest
import pytest_cases
from probfindiff.utils import autodiff, kernel, kernel_zoo
def case_exponentiated_quadratic():
k = lambda x, y: jnp.exp(-(x - y).dot(x - y))
return kernel.batch_gram(k)[0]
def case_... | python |
#!/usr/bin/env python3
import json, os
print("Content-type:text/html\r\n\r\n")
print("<title>Testing CGI</title>")
#Lab code
# Q1
print(os.environ)
json_object = json.dumps(dict(os.environ))
print(json_object)
# Q2
for param in os.environ.keys():
if param == "QUERY_STRING":
print("<b>%20s</b>: %s<br>".form... | python |
#!/usr/bin/env python
"""
This example shows how to create shipments. The variables populated below
represents the minimum required values. You will need to fill all of these, or
risk seeing a SchemaValidationError exception thrown.
Near the bottom of the module, you'll see some different ways to handle the
label data... | python |
#! /usr/bin/python
"""radargrab
Get the images and backgrounds associated with a storm event and save them to
a directory or something
"""
import urllib2
import httplib
import time
from xml.dom import minidom
from HTMLParser import HTMLParser
_n0r = "http://radar.weather.gov/ridge/RadarImg/N0R/%s/"
_overlay = "http://... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import platform
from ctypes import cdll, c_wchar_p, create_unicode_buffer
from platformpaths import sopaths, ridelibpaths
APL = cdll.LoadLibrary(sopaths[platform.architecture()[0]][platform.system()])
def InitAPL(runtime, WSargs):
__C_APL_WSargs_Binding_Pa... | python |
# -*- coding: utf-8 -*-
# pylint: disable=unidiomatic-typecheck
# *****************************************************************************
# NICOS, the Networked Instrument Control System of the MLZ
# Copyright (c) 2009-2021 by the NICOS contributors (see AUTHORS)
#
# This program is free software; you can redis... | python |
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe.utils.nestedset import NestedSet, get_root_of
from erpnext.utilities.transaction_base import delete_events
from frappe.model.d... | python |
class PartitionScheme(basestring):
"""
mbr|gpt|unknown
Possible values:
<ul>
<li> "mbr" - Master Boot Record Partition Table Scheme.,
<li> "gpt" - GUID Partition Table Scheme.,
<li> "unknown" - Partition Scheme other than MBR or GPT or an
unformatted LUN.
</ul>
"""
... | python |
# -*- coding: utf-8 -*-
"""字典树实现敏感词过滤"""
import codecs
class TrieNode(object):
def __init__(self, value=None):
self._end = False
self._child = dict()
self._value = value
def add(self, ch):
if not self._child.has_key(ch):
node = TrieNode(ch)
self._child... | python |
import json
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def hello(event, context):
logger.info(f"AWS Lambda processing message from GitHub: {event}.")
body = {
"message": "Your function executed successfully!",
"input": event
}
response = {
"st... | python |
import json
import os
import psycopg2
import time
#import pdb; pdb.set_trace()
POSTGRES_HOST = "database"
POSTGRES_USER = os.environ["POSTGRES_USER"]
POSTGRES_PASSWORD = os.environ["POSTGRES_PASSWORD"]
DB = "datamonitor"
DATA_DIR = "data"
def load_data():
wait_for_db()
#only load once
if is_data_there(... | python |
import logging
import os
import mock
import unittest
import vixen
from vixen.processor import PythonFunctionFactory
from vixen.project import Project, TagInfo
from vixen.vixen import VixenUI, Vixen, UIErrorHandler, is_valid_tag
from vixen.vixen_ui import get_html, get_html_file
from vixen.tests.test_project import Te... | python |
import yaml
import os
from pathlib import Path
from utils.dict_wrapper import DictWrapper
class EvaluationConfiguration:
'''
Represents the configuration parameters for running the evaluation process
'''
def __init__(self, path):
'''
Initializes the configuration with contents from t... | python |
#!/usr/bin/env python
#
# Copyright 2009 Google 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... | python |
import json
import boto3
import os
import urllib.parse
s3 = boto3.client('s3')
# Cliente do Amazon Textract
textract = boto3.client('textract')
def getTextractData(bucketName, documentKey):
# Chamando o Amazon Textract com os parâmetros do bucket e do arquivo .png
response = textract.detect... | python |
BLOCK_SIZE = 1024
BACKING_FNs = ['../../songs/lamprey/drums.wav', '../../songs/lamprey/bass.wav',
'../../songs/lamprey/piano.wav', '../../songs/lamprey/violin.wav']
| python |
#!/usr/bin/env python
"""find_profit is O(n) over a list, given a window, to find the maximum profit
possible given a single pair of trades taking place in that window"""
import unittest
def find_profit(prices, window):
"""Given a certain window size and a list of prices, find the highest
profit possible if e... | python |
# Generated by Django 3.1.2 on 2020-10-27 22:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tailscout_app', '0005_auto_20201015_2047'),
]
operations = [
migrations.AlterField(
model_name='job',
name='bacteria... | python |
import json
import pandas as pd
import urllib3
import numpy as np
import re
http = urllib3.PoolManager()
votd = json.loads(http.request('GET',"https://public.tableau.com/api/gallery?page=0&count=10000&galleryType=viz-of-the-day&language=any").data)
df = pd.json_normalize(votd['items'], max_level=0)
# initialise dataf... | python |
from .cachable_functions import Cachable
from .params import CachableParam | python |
from flask_server_files.models.defect import DefectModel
d1 = DefectModel.new_defect()
| python |
import json
from twitter_helper import TwitterHelper
with open('config.json') as f:
data = json.load(f)
username = "@CoolDude32149"
th = TwitterHelper(data, username)
message = "Thank you for your complaint"
th.stream_tweet() | python |
import pytest
data = [
(pytest.lazy_fixture("a_base_model_object"), {"id": "1", "name": "default_name"}),
({1, 2, 3}, [1, 2, 3]),
]
@pytest.mark.parametrize("obj, expected", data)
def test_base_model_enhanced_encoder(obj, expected):
from fractal.contrib.fastapi.utils.json_encoder import BaseModelEnhanced... | python |
# launcher.py
from math import radians, degrees, cos, sin
from graphics import *
from shotTracker import ShotTracker
class Launcher:
def __init__(self, win):
# Draw the base shot of the launcher
base = Circle(Point(0, 0), 3)
base.setFill("red")
base.setOutline("red")
base.d... | python |
from uqcsbot import bot, Command
from uqcsbot.utils.command_utils import loading_status
from typing import Dict, List
from collections import defaultdict
from random import shuffle, choice
@bot.on_command("emojify")
@loading_status
def handle_emojify(command: Command):
'''
`!emojify text` - converts text to ... | python |
"""
@brief
@file Various function to help investigate an error.
"""
import traceback
from io import StringIO
class ErrorOnPurpose(Exception):
"""
raise to get the call stack
"""
pass
def get_call_stack():
"""
Returns a string showing the call stack
when this function is called.
.. e... | python |
import argparse
import subprocess
from typing import Tuple
from data_copy import copy_pgdata_cow, destroy_exploratory_data_cow
from pgnp_docker import start_exploration_docker, shutdown_exploratory_docker, setup_docker_env
from sql import checkpoint, execute_sql, \
wait_for_pg_ready
from util import ZFS_DOCKER_VOL... | python |
# Copyright (c) 2020 Huawei Technologies Co., Ltd.
# Licensed under CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International) (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://creativecommons.org/licenses/by-nc-sa... | python |
from .wd_containers import _ParameterContainer
import os
import sys
# below snippet is taken from subprocess32 manual
if os.name == 'posix' and sys.version_info[0] < 3:
import subprocess32 as subprocess
else:
import subprocess
class _WDIO:
def __init__(self, container, wd_path, wd_binary_name):
se... | python |
from django.test import TestCase
from .models import Location,Tag
import datetime as dt
# Test case for locations
class LocationTestClass(TestCase):
def setUp(self):
self.location = Location(location='Nairobi')
def test_instance(self):
self.assertTrue(isinstance(self.location, Location))
... | python |
# -*- coding: utf-8 -*-
'''
Manage Dell DRAC.
.. versionadded:: 2015.8.2
'''
# Import python libs
from __future__ import absolute_import, print_function, unicode_literals
import logging
import os
import re
# Import Salt libs
from salt.exceptions import CommandExecutionError
import salt.utils.path
# Import 3rd-party... | python |
from bs4 import BeautifulSoup as bs
import os
import re
import ntpath
class GetEngine(object):
"""
This class contains the methods needed to get the files,
to help make the pdf file.
The class contains the following methods:
get_html() --- Which gets the html file names.
get_pdf() --- Which gets the... | python |
# # @package version.py
# @brief Argos version finder
import os
import core # Argos core
# # Attempts to determine the version of this argos by its .VERSION file
def get_version():
return core.get_argos_version()
# Read the .VERSION file
# #join = os.path.join
# #dirname = os.path.dirname
# #abspath = os.pa... | python |
import cv2
import numpy as np
import scipy.ndimage
from sklearn.externals import joblib
from tools import *
from ml import *
import argparse
# Arguments
parser = argparse.ArgumentParser()
parser.add_argument('--mode', '-mode', help="Mode : train or predict", type=str)
parser.add_argument('--a', '-algorithm', help="alg... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""This module declares the different meanings that the Orbit 6 components can take
and their conversions
"""
from numpy import cos, arccos, sin, arcsin, arctan2, sqrt, arctanh, sinh, cosh
import numpy as np
from ..errors import UnknownFormError
from ..utils.node import... | python |
"""
Tasks related to `oms` project.
Import as:
import oms.oms_lib_tasks as oomlitas
"""
import logging
import os
from invoke import task
import helpers.hdbg as hdbg
import helpers.hgit as hgit
import helpers.lib_tasks as hlibtask
_LOG = logging.getLogger(__name__)
# TODO(gp): This was branched from im/im_lib_ta... | python |
#!/usr/bin/env python
# Copyright (c) Megvii, Inc. and its affiliates. All Rights Reserved
import re
import setuptools
import sys
TORCH_AVAILABLE = True
try:
import torch
from torch.utils import cpp_extension
except ImportError:
TORCH_AVAILABLE = False
print("[WARNING] Unable to import torch, pre-comp... | python |
from tkinter import *
from math import *
class test():
def __init__(self):
self.a=dict(name="",usn="",q1="",q2="",q3="",q4="",t1="",t2="",ass="")
self.resulttable=Tk()
self.resulttable.geometry("1500x1500")
self.resulttable.config()
self.ent=Frame(self.resulttable)
self.ent.grid()
self.res1=Frame(se... | python |
import json
from typing import Any, Dict, List, Optional, Set, Tuple
from google.cloud import ndb
from backend.common.consts.media_type import MediaType
from backend.common.models.media import Media
from backend.common.models.team import Team
from backend.tasks_io.datafeeds.parsers.json.parser_paginated_json import ... | python |
"""\
Pyconstruct provides metrics and losses to be used with most of the structured
output problems out there.
"""
from .losses import *
__all__ = losses.__all__
| python |
# Copyright 2020 Alibaba Group Holding Limited. 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 ... | python |
from gym_tak.tak.board import Presets, Board
from gym_tak.tak.piece import Colors, Types
from gym_tak.tak.player import Player
class TakGame:
def __init__(self, preset: Presets, player1: str, player2: str) -> None:
super().__init__()
self.preset = preset
self.board = Board(preset)
... | python |
# -*- coding: utf-8 -*-
from os import path
__cdir__ = path.dirname(__file__)
__fabfile__ = path.join(__cdir__, 'commands.py')
| python |
from i3pystatus import Module
class Text(Module):
"""
Display static, colored text.
"""
settings = (
"text",
("color", "HTML color code #RRGGBB"),
)
required = ("text",)
color = None
def init(self):
self.output = {
"full_text": self.text
}... | python |
import sqlalchemy as sa
from aiopg.sa import create_engine
from datetime import datetime
from sqlalchemy.dialects.postgresql import UUID
async def init_pg(app):
settings = app['settings']['db']
engine = await create_engine(
**settings
)
app['db'] = engine
# async with app['db'].acquire() ... | python |
"""Return the euclidean distance beetween the given dictionaries."""
from .minkowsky import minkowsky
from typing import Dict
def euclidean(a: Dict, b: Dict)->float:
"""Return the euclidean distance beetween the given dictionaries.
Parameters
----------------------------
a: Dict,
First dictio... | python |
# Generated by Django 2.2.13 on 2021-08-19 10:26
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('projects', '0123_reportcolumn_preview_only'),
]
operations = [
migrations.CreateModel(
name='R... | python |
import torch
from torch import nn
from torch.nn import functional as F
import math
class NoisyLinear(nn.Module):
def __init__(self, in_features, out_features, std_init=0.5):
super(NoisyLinear, self).__init__()
self.in_features = in_features
self.out_features = out_features
self.st... | python |
from django import template
import mistune
register = template.Library()
@register.filter
def markdownify(text):
# safe_mode governs how the function handles raw HTML
renderer = mistune.Renderer(escape=True, hard_wrap=True)
markdown = mistune.Markdown(renderer=renderer)
return markdown(text) | python |
import sys
import os
from dotenv import load_dotenv
# see by https://github.com/mytliulei/boundless/blob/master/python/%E6%89%93%E5%8C%85exe/pyinstaller.md
if getattr(sys, 'frozen', False):
BASE_DIR = os.path.dirname(sys.executable)
else:
# 文件所在目录
#BASE_DIR = os.path.abspath(os.path.dirname(__file__))
... | python |
import fbuild.config.c as c
# ------------------------------------------------------------------------------
class extensions(c.Test):
builtin_expect = c.function_test('long', 'long', 'long',
name='__builtin_expect',
test='int main() { if(__builtin_expect(1,1)); return 0; }')
@c.cacheproperty... | python |
from rest_framework import serializers
from .models import Brew
class BrewSerializer(serializers.ModelSerializer):
class Meta:
model = Brew
fields = ("started_brewing", "outages")
| python |
#!/usr/bin/env python3
from flask import Flask, make_response, request, render_template
app = Flask(__name__)
# entry point for our users
# renders a template that asks for their name
# index.html points to /setcookie
@app.route("/index")
@app.route("/")
def index():
return render_template("index.html")
# set t... | python |
from __future__ import annotations
import functools
import os
import traceback
from enum import Enum
from typing import Callable
from typing import TypeVar
from CCAgT_utils.constants import FILENAME_SEP
from CCAgT_utils.constants import STRUCTURE
R = TypeVar('R')
def basename(filename: str, with_extension: bool = ... | python |
# -*- coding: utf-8 -*-
'''
European Biotechnology pipelines
Scrapy pipelines docs: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
'''
import datetime
import re
import scrapy
from event.items import EventItem, ResponseItem
from common.util import xpath_class, lot2dol, flatten, lmap
class EuropeanBiot... | python |
from coalib.bearlib.abstractions.Linter import linter
from dependency_management.requirements.GemRequirement import GemRequirement
@linter(executable='sqlint', use_stdin=True, output_format='regex',
output_regex=r'.+:(?P<line>\d+):(?P<column>\d+):'
r'(?P<severity>ERROR|WARNING) (?P<messag... | python |
# Test
# acc_des = 'This is a test account.2'
# acc_username = '2'
# acc_password = '2'
# secret_msg = 'Hello :)'
# enc_acc_dess = enc.encrypt_data(
# 'b2001bccdcb7ea5556526cb70e58206996c3039282dd62e2ddc4a1d55be6c1d6',
# data=acc_des)
# enc_username = enc.encrypt_data(
# 'b2001bccdcb7ea5556526cb70e58206996c... | python |
# r"""
# For training model.
# Consist of some Trainers.
# """
#
# import argparse
# import torch.nn as nn
#
# from pathlib import Path
# from torch.optim import SGD
# from torch.cuda.amp import GradScaler
# from torch.optim.lr_scheduler import StepLR
# from torchvision.transforms import transforms
# from torchvision.d... | python |
# 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 in writing, software
# distributed under the... | python |
""" Utility functions """
import os
from collections import namedtuple
def process_args(args, mode):
"""
save arguments into a name tuple as all scripts have the same arguments template
:param args: argument list as passed from the command line
:type args: list
"""
if len(args) > 4:
... | python |
# -*- coding:utf-8 -*-
class Solution:
def reOrderArray(self, array):
# write code here
i = 0
length = len(array)
while(i<length):
while(i<length and array[i]%2!=0): # 找到偶数
i += 1
j = i + 1
while(j < length and array[j]%2==0 ): # 找到... | python |
class GSP:
def __init__(self):
self.start = []
self.goal = []
self.stack = []
self.actions = ['Stack','UnStack','Pick','Put']
self.predicate = ['On','OnTable']
self.prereq = ['Clear','Holding','ArmEmpty']
def accept(self):
self.start = input("Enter Start ... | python |
from flask import render_template, request, jsonify
from datetime import datetime
from hw_todo.utils import get_canvas_tasks
from hw_todo.tests import app
db_canvas = {"Tasks": []}
db = db_canvas
@app.route('/docs')
def get_docs():
print('sending docs')
return render_template('swaggerui.html')
@app.route('... | python |
"""
File: pylinex/basis/EffectiveRank.py
Author: Keith Tauscher
Date: 17 Oct 2017
Description: File containing function which, given a training set of curves and
a corresponding noise level, determines the effective rank of the
training set, which is the number of modes to fit within the erro... | python |
from app import db,create_app
from flask_script import Manager, Server
from flask_migrate import Migrate, MigrateCommand
from app.models import Blogpost
app=create_app('development')
manager = Manager(app)
migrate = Migrate(app, db)
manager.add_command('server', Server)
manager.add_command('db', MigrateCommand)
@man... | python |
import os
from torch_geometric.data import InMemoryDataset, DataLoader, Batch
from torch_geometric import data as DATA
from torch.utils.data.dataloader import default_collate
import torch
import numpy as np
import time
# initialize the dataset
class DTADataset(InMemoryDataset):
def __init__(self, root='/tmp', dat... | python |
# -*- coding: utf-8 -*-
def main():
h, w = map(int, input().split())
s = [list(input()) for _ in range(h)]
ans = 0
for i in range(h - 1):
for j in range(w - 1):
count = 0
for ni, nj in [(i, j), (i + 1, j), (i, j + 1), (i + 1, j + 1)]:
if s[ni][nj] == "... | python |
import time
from typing import List, Dict, Any, Tuple
_measurements = {}
_formats = {}
_default_format = 'Duration of "{name_range}": {humanized_duration}'
def set_format(format: str) -> None:
if not isinstance(format, str):
raise TypeError('Format should be of type "str"')
global _default_format
... | python |
from PyQt5.QtCore import QObject, pyqtSignal
class Model(QObject):
amount_changed = pyqtSignal(int)
even_odd_changed = pyqtSignal(str)
enable_reset_changed = pyqtSignal(bool)
users_changed = pyqtSignal(list)
@property
def users(self):
return self._users
def add_user(self, value... | python |
def hello(who):
print 'Hello, %s!' % who
if __name__ == '__main__':
print hello(sys.args[1] if len(sys.args) >= 2 else 'World')
| python |
import argparse
import sys
import time
import unittest
import warnings
import emoji
from lib.const import CSPM_RUNNING_K8S_MASTER_CHECK_LOG, CSPM_RUNNING_K8S_WORKER_CHECK_LOG, CSPM_START_LOG
from lib.cspm.api import wait_for_compliance_event, wait_for_finding
from lib.cspm.finding import (
is_expected_k8s_master_n... | python |
#
# Copyright 2021- IBM Inc. All rights reserved
# SPDX-License-Identifier: Apache2.0
#
import os
from time import time
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans
from sklearn import metrics
from hkmeans import HKMeans
from clustering_utils import fetch_20ng, save_r... | python |
import pytest
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import MinMaxScaler
from sklearn.linear_model import LogisticRegression
from picknmix import Layer
class TestLayer:
def test_different_numbers_of_preprocessor_and_models(self):
with pytest.raises(E... | python |
"""
Standard classes for the Converter module
"""
import logging
import pickle
import uuid
from django.core.cache import cache
class ConverterLoadError(Exception):
"""
Exception when loading a converter from its redis pickle
"""
msg = 'Error while loading converter'
class BaseConverter:
"""
... | python |
# @author Kilari Teja
from halley.skills.tdl.utils import PropMap, Constants
import re
class OPERATOR(object):
DESCRIPTOR = None
@classmethod
def register(clas, tokenStore, statsCollector=None):
OPERATOR.registerStatic(clas, tokenStore)
@staticmethod
def registerStatic(clas, tokenStore, statsCollector=Non... | python |
from typing import List
def info_from_jenkins_auth(username, password, required_scopes):
"""
Check and retrieve authentication information from basic auth.
Returned value will be passed in 'token_info' parameter of your operation function, if there is one.
'sub' or 'uid' will be set in 'user' paramete... | python |
#! /usr/bin/env python2
import os
filepath = os.path.join(
str(os.environ.get("GITHUB_WORKSPACE")), str(os.environ.get("FILE_TO_MODIFY"))
)
with open(filepath) as f:
newText = f.read().replace(
str(os.environ.get("FIND")), str(os.environ.get("REPLACE"))
)
with open(filepath, "w") as f:
f.writ... | python |
# -*- coding: utf-8 -*-
from django.db import models
from django.contrib import admin
from django.core.urlresolvers import reverse
from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from django.test.utils import override_settings, modify_settings
from django_dyna... | python |
"""
tests.support.pytest.fixtures
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The purpose of this fixtures module is provide the same set of available fixture for the old unittest
test suite under ``test/integration``, ``tests/multimaster`` and ``tests/unit``.
Please refrain from adding fixtures to this module ... | python |
import torch
import numpy as np
def colormap(N=256):
def bitget(byteval, idx):
return ((byteval & (1 << idx)) != 0)
dtype = 'uint8'
cmap = []
for i in range(N):
r = g = b = 0
c = i
for j in range(8):
r = r | (bitget(c, 0) << 7-j)
g = g | (bitget(... | python |
"""
Crie um programa que leia duas notas de um aluno e calcule sua média,
mostrando uma mensagem no final, de acordo com a média atingida:
— Média abaixo de 5.0: REPROVADO
— Media entre 5.0 e 6.9: RECUPERAÇÃO
— Média 7.0 ou superior: APROVADO
"""
nt1 = float(input('Digite a nota da primeira avaliação: '))
nt2 = float(... | python |
STARS = {"Alpheratz": {'sidereal': '357d41.7', 'declination': '29d10.9'},
"Ankaa": {'sidereal': '353d14.1', 'declination': '-42d13.4'},
"Schedar": {'sidereal': '349d38.4', 'declination': '56d37.7'},
"Diphda": {'sidereal': '348d54.1', 'declination': '-17d54.1'},
"Achernar": {'sidereal... | python |
import UnitTest
class WithTest(UnitTest.UnitTest):
class Dummy(object):
def __init__(self, value=None, gobble=False):
if value is None:
value = self
self.value = value
self.gobble = gobble
self.enter_called = False
self.exit_called... | python |
import sys
import os
import select
import socket
import errno
import logging
try:
BrokenPipeError
except NameError:
BrokenPipeError = None
def ignore_broken_pipe(fn, *args):
try:
return fn(*args)
except OSError as e:
if e.errno == errno.EPIPE:
return None
raise
... | python |
from __future__ import absolute_import
from sentry.api.base import Endpoint
from sentry.api.permissions import assert_perm
from sentry.models import Group, GroupBookmark
from rest_framework.response import Response
class GroupBookmarkEndpoint(Endpoint):
def post(self, request, group_id):
group = Group.o... | python |
from collections import deque
water_reserve = int(input())
names = deque()
while True:
name = input()
if name == "Start":
while True:
input_row = input()
if input_row.startswith("refill"):
# add litters to water_reserve
water_reserve += int(input_... | python |
#!/usr/bin/env python
#==============================================================================
# python3_test.py
#------------------------------------------------------------------------------
# description :This is a basic python script example with a file header
# author :l-althueser
#
# usage ... | python |
#!/usr/bin/env python
from nose.tools import assert_equal, assert_true, assert_almost_equal, nottest, assert_false
from os.path import isdir,isfile
from os import listdir
import os
import sys
import subprocess
import pandas as p
file_path = os.path.realpath(__file__)
test_dir_path = os.path.dirname(file_path)
tmp_dir_... | python |
import os
import Threshold
import UsersBuilding
import Cluster
import configparser
import json
from collections import defaultdict
def get_project_path(file_name="README.md", actual_path=None):
"""
:param file_name: name of a file in the top level of the project
:param actual_path: actual path, if not sp... | python |
import os
import logging
import pytest
log = logging.getLogger(__name__)
from .testutils import check_serialize_parse
def _get_test_files_formats():
skiptests = []
for f in os.listdir("test/n3"):
if f not in skiptests:
fpath = "test/n3/" + f
if f.endswith(".rdf"):
... | python |
import math
import torch
from torch.autograd import Variable
from core.model_tools.deformations.exponential import Exponential
from core.models.abstract_statistical_model import AbstractStatisticalModel
from core.models.model_functions import create_regular_grid_of_points, compute_sobolev_gradient
from core.observati... | python |
#!/usr/bin/env python
import os, os.path, sys
import socket
if __name__ == "__main__":
PROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), '..',))
print "PROJECT_ROOT=", PROJECT_ROOT
sys.path.append(PROJECT_ROOT)
# Add virtualenv dirs to python path
host = socket.gethostn... | python |
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