content stringlengths 5 1.05M |
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from dimagi.ext import jsonobject
from dimagi.utils.logging import notify_exception
from soil.progress import STATES, get_task_status
from soil.util import get_task
class TaskStatus(jsonobject.StrictJsonObject):
# takes on values of soil.progress.STATES
state = jsonobject.IntegerProperty()
progress = json... |
from typing import Callable, Dict
import json
from decimal import Decimal
from collections import namedtuple
import urllib.request
import urllib.parse
import asyncio
import websockets
# Define urls needed for order book streams
URL_ORDER_BOOK = "https://api.binance.com/api/v1/depth"
URL_ORDER_BOOK_PERP = "https://dap... |
import json
import os
import random
import time
import requests
from bs4 import BeautifulSoup
from firebase import init_firebase, updateData
base_url = 'https://movie.naver.com/movie/point/af/list.nhn?&page={}'
init_firebase()
def main():
while True:
for idx in range(1, 1001):
print(f'Page ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PythonMiddleware.graphene import Graphene
from PythonMiddleware.instance import set_shared_graphene_instance
from pprint import pprint
import time
#nodeAddress = "wss://api.cocosbcx.net"
nodeAddress = "ws://test.cocosbcx.net"
#nodeAddress = "ws://127.0.0.1:8049" ... |
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, JsonResponse, HttpResponseRedirect
from django.urls import reverse
from django.contrib.auth.decorators import login_required
from rest_framework.parsers import JSONParser
from rest_framework.decorators import api_view
from .m... |
'''
Что покажет приведенный ниже фрагмент кода?
'''
counter = 0
for i in range(99, 102):
temp = i
while temp > 0:
counter += 1
temp //= 10
print(counter) |
"""ordia.query.
Usage:
ordia.query iso639-to-q <iso639>
ordia.query get-wikidata-language-codes [options]
ordia.query form-to-iso639 <form>
Options:
--min-count=<min-count> Minimum count [default: 0]
Description:
Functions in this module query the Wikidata Query Service and
thus requires Internet acces... |
# app/elephant_queries.py
import os
from dotenv import load_dotenv
import psycopg2
load_dotenv() #> loads contents of the .env file into the script's environment
DB_NAME = os.getenv("DB_NAME")
DB_USER = os.getenv("DB_USER")
DB_PASSWORD = os.getenv("DB_PASSWORD")
DB_HOST = os.getenv("DB_HOST")
connection = psycopg2.... |
__version__ = "4.0.1"
# __version__ has to be define in the first line
"""
pysal.lib: Python Spatial Analysis Library (core)
================================================
Documentation
-------------
PySAL documentation is available in two forms: python docstrings and an html \
webpage at http://pysal.org... |
from rest_framework import permissions
from rest_framework.viewsets import ReadOnlyModelViewSet
from ggongsul.agreement.models import Agreement
from ggongsul.agreement.serializers import (
AgreementFullSerializer,
AgreementShortSerializer,
)
class AgreementViewSet(ReadOnlyModelViewSet):
queryset = Agreem... |
"""
recursive parse
"""
from typing import List, Any, Union, Tuple
def parse(filename: str) -> List[Any]:
with open(filename, "r") as file:
lines = [line.rstrip() for line in file.readlines()] # remove newline character
lines = [line for line in lines if len(line) > 0] # remove empty lines
return parse_line... |
import numpy as np
import torch
import os
from common import tensor
from pde2d_base import RegularPDE
from spinn2d import Plotter2D, App2D, SPINN2D
from mayavi import mlab
class SquareSlit(RegularPDE):
def __init__(self, n_nodes, ns, nb=None, nbs=None, sample_frac=1.0):
self.sample_frac = sample_frac
... |
# Copyright (C) 2020 TU Dresden
# Licensed under the ISC license (see LICENSE.txt)
#
# Authors: Robert Khasanov
import copy
from mocasin.representations import SimpleVectorRepresentation
from mocasin.tetris.schedule import (
Schedule,
MultiJobSegmentMapping,
SingleJobSegmentMapping,
)
class BaseVariantS... |
from setuptools import setup, Extension
import numpy
import os
from setuptools import Extension, setup
### ---
# peakfinder8 Cython installation adapted from OnDA: https://github.com/ondateam/onda
DIFFRACTEM_USE_CYTHON = os.getenv("DIFFRACTEM_USE_CYTHON")
ext = ".pyx" if DIFFRACTEM_USE_CYTHON else ".c" # pylint: d... |
# Using py.test framework
from service import Intro, MNIST
def test_example_message(client):
"""Example message should be returned"""
client.app.add_route('/mnist', Intro())
result = client.simulate_get('/mnist')
assert result.json == {
'message': 'This service verifies a model using the MNIS... |
from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
source_window = 'Source image'
corners_window = 'Corners detected'
max_thresh = 255
def cornerHarris_demo(val):
thresh = val
# Detector parameters
blockSize = 2
apertureSize = 3
k = 0.04
# Detecting corn... |
# incomplete_iteration.py
#
# LICENSE
#
# The MIT License
#
# Copyright (c) 2020 TileDB, Inc.
#
# 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 Software without restriction, including without limitati... |
# -*- coding: utf-8 -*-
import itertools
from metrika.contender import Contender
from metrika.variable import *
__author__ = 'Javier Pimás'
class Suite:
def __init__(self, name=""):
self.name = name
self.variables = []
def add_variable_from_dict(self, name, values):
values = [NamedV... |
import gtk
class DragTarget(object):
"""
A DragTarget supports a certain mime type and has methods to figure out if
a drag is possible as well as to retrieve the actual text-data representation
for the drag
"""
app = 0
widget = 0
actions = gtk.gdk.ACTION_COPY | gtk.gdk.ACTION_MOVE | gtk... |
import unittest
from .. import util
class TestUtil(unittest.TestCase):
def test_state_dict_names(self):
state_dict = {
'conv1.weight': 0,
'conv1.bias': 0,
'fc1.weight': 0,
'fc2.weight': 0,
'fc2.bias': 0
}
layer_names = util.stat... |
"""
Name: thomas.py
Goal: Numerical resolution of linear equations with the method of Thomas
Author: HOUNSI madouvi antoine-sebastien
Date: 08/03/2022
"""
from os.path import join, dirname
import sys
import numpy as np
from linearEq.utils.gaussForVal import gauss
class Thomas:
def __init__(self, ... |
# 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
# "License"); you may not u... |
# Copyright (c) 2017 Intel Corporation. All rights reserved.
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
from tests.integration.utils.test_blockdevices.test_blockdevice import TestBlockDevice
class TestBlockDeviceLinux(TestBlockDevice):
_supported_device... |
import unittest
import requests
from unittest import mock
from dataverk.connectors import NaisS3Connector
from tests.dataverk.connectors.storage.test_resources.mock_nais_s3_api import mock_requests_put, mock_requests_get
from tests.dataverk.connectors.storage.test_resources.nais_s3_storage_common import NAIS_S3_ENDPOI... |
'''
Core algorithm.
Key algorithm parameters:
- ga_priority (p) = probability that the next task issued is a GA evaluation
- population (n)
- workers (w) = number of parallel workers
- task_limit (l) = number of function evaluations to carry out
Describing the algorithm as (p, n, w, l):
- (0, 1, 1... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.autograd as autograd
from torch.autograd import Variable
from utils import *
from config import parameters
START_TAG = '<START>'
STOP_TAG = '<STOP>'
def to_scalar(var):
return var.view(-1).data.tolist()[0]
def argmax(vec):
_, id... |
import os, sys, inspect
cmd_subfolder = os.path.realpath(os.path.abspath(os.path.join(os.path.split(inspect.getfile( inspect.currentframe() ))[0],"..")))
if cmd_subfolder not in sys.path:
sys.path.insert(0, cmd_subfolder) |
#coding: UTF-8
'''Message is the carrier of a simple Pub/Sub system on top of ccnet'''
import datetime
import re
import uuid
import time
MESSAGE_PATTERN = re.compile(r'(?P<flags>[\d]+) (?P<from>[^ ]+) (?P<to>[^ ]+) (?P<id>[^ ]+) (?P<ctime>[^ ]+) (?P<rtime>[^ ]+) (?P<app>[^ ]+) (?P<body>.*)')
class Message(object):
... |
#!/usr/bin/env python
# coding: utf-8
# # Generate Long Audio Sample from trained model
# ## Boilerplate
# In[1]:
import os, sys
root_dir, _ = os.path.split(os.getcwd())
script_dir = os.path.join(root_dir, 'scripts')
sys.path.append(script_dir)
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
# In[2]:
import tensorfl... |
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.models import resnet50, resnet18
class ReorderResNet(nn.Module):
def __init__(self, resnet_type='resnet50', pretrained=True):
super(ReorderResNet, self).__init__()
self.resnet_type = resnet_type
... |
# -*- coding: utf-8 -*-
"""Shared test cases."""
import os
from dfvfs.file_io import tsk_file_io
from dfvfs.file_io import tsk_partition_file_io
from dfvfs.lib import definitions
from dfvfs.lib import errors
from dfvfs.path import factory as path_spec_factory
from dfvfs.path import tsk_path_spec
from dfvfs.path impor... |
from flask import Flask, jsonify, request, Response
from functools import wraps
from werkzeug.routing import Rule
from optparse import OptionParser
from pprint import pprint
import time
VERBOSE = 'verbose'
BASIC_AUTH = 'basic_auth'
AUTH_USERNAME = 'auth_username'
AUTH_PASSWORD = 'auth_password'
config = {
BASIC_A... |
'''
***************************************************************************
* (c) Andrew Robinson (andrew.robinson@latrobe.edu.au) 2013 *
* La Trobe University & *
* Life Sciences Computation Centre (LSCC, part of VLSCI) *
* ... |
from django.contrib import admin
from .models import ExampleSlackModel
class ExampleSlackAdmin(admin.ModelAdmin):
"""Simple admin view for looking over data"""
admin.site.register(ExampleSlackModel, ExampleSlackAdmin)
|
# -*- coding: utf-8 -*-
from guillotina import configure
from guillotina.behaviors.instance import AnnotationBehavior
from guillotina.behaviors.properties import FunctionProperty
from guillotina.interfaces import IResource
from guillotina.utils import get_authenticated_user_id
from guillotina_cms.interfaces import IFol... |
from collections import namedtuple
from functools import partial
from typing import Any, Dict, Union
from quilldelta import utils as _
__all__ = ['Insert', 'Retain', 'Delete', 'OperationType',
'is_retain', 'is_insert', 'is_delete',
'it_insert_text', 'load_operation']
def _sum_operation(instanc... |
import binascii
import uuid
from base64 import b64decode
from datetime import datetime, timedelta
from urllib.parse import parse_qs, parse_qsl, urlencode, urlparse, urlunparse
from django.core.exceptions import ImproperlyConfigured
from django.db.models import F, Func, TextField
from rest_framework.pagination import B... |
import gc
import torch
import numpy as np
import random
from transformers import AutoTokenizer, AutoModelForSequenceClassification
def cleanup():
gc.collect()
torch.cuda.empty_cache()
def turn_off_grad(model):
for param in model.parameters():
param.requires_grad = False
def turn_on_grad(model)... |
# twitter/views_admin.py
# Brought to you by We Vote. Be good.
# -*- coding: UTF-8 -*-
from .controllers import delete_possible_twitter_handles, retrieve_possible_twitter_handles
from .models import TwitterLinkPossibility
from admin_tools.views import redirect_to_sign_in_page
from candidate.models import CandidateCamp... |
import logging
from asreview.ascii import welcome_message
from asreview.config import DEFAULT_MODEL, DEFAULT_FEATURE_EXTRACTION
from asreview.config import DEFAULT_QUERY_STRATEGY
from asreview.config import DEFAULT_BALANCE_STRATEGY
from asreview.config import DEFAULT_N_INSTANCES
from asreview.config import DEFAULT_N_... |
# -*- coding: utf-8 -*-
# @Time : 2021/2/22 18:54
# @Author : duyu
# @Email : abelazady@foxmail.com
# @File : my_hook.py
# @Software: PyCharm
import torch
from mmcv.runner import HOOKS, Hook
from mmcv.runner.hooks.optimizer import OptimizerHook
@HOOKS.register_module()
class MyOptimizerHook(Optimiz... |
n=int(input('tabuada de qual numero vc quer?'))
for c in range(0,11):
print(n,'*' , c,'=' ,n* c)
|
# -*- coding: utf-8 -*-
# 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... |
# Packages up pygw so it's pip-installable
from setuptools import setup, find_packages
with open('README.md', 'r') as fh:
long_description = fh.read()
def get_version():
try:
from maven_version import get_maven_version
version = get_maven_version()
except ModuleNotFoundError:
# If ... |
import pytest
from mars_profiling.profile_report import ProfileReport
def test_phases_empty():
profile = ProfileReport(None)
with pytest.raises(ValueError) as e:
profile.to_html()
assert (
e.value.args[0]
== "Can not describe a `lazy` ProfileReport without a DataFrame... |
import random
from datetime import date, datetime, timedelta, timezone
from typing import List, Optional
from fastapi.exceptions import HTTPException
from starlette import status
from app.models.phq import AvgAndEstimatedPhqScore, Phq, SingleQuestionAvgScore
from app.models.user import User
from app.schema.phq import... |
import StringIO
import json
import logging
import random
import urllib
import urllib2
import requests
# for sending images
from PIL import Image
import multipart
# standard app engine imports
from google.appengine.api import urlfetch
from google.appengine.ext import ndb
import webapp2
TOKEN = '356407842:AAFndoaIMeEf... |
import os
#Predicates = {}
class dataset:
current_path = os.path.dirname(os.path.realpath(__file__))
os.chdir(current_path)
def get_resource(self):
# current_path= os.path.dirname(os.path.realpath(__file__))
# os.chdir(current_path)
Rfile = open(".\\Resources.txt", 'r')
R... |
"""
Policy Network for training imitation learning model. For discrete case, we use classifier.
For continuous case, we use regressor.
"""
import numpy as np
import torch
import torch.nn as nn
from torchlib.common import move_tensor_to_gpu, convert_numpy_to_tensor, enable_cuda
from torchlib.deep_rl import BaseAgent
fr... |
from marshmallow_jsonapi import Schema, fields
from marshmallow import validate
from flask.ext.sqlalchemy import SQLAlchemy
from sqlalchemy.exc import SQLAlchemyError
db = SQLAlchemy(session_options={"autoflush": True})
class CRUD():
def add(self, resource):
db.session.add(resource)
return db.... |
__author__ = 'filipkulig'
import time
from board import Board
from draw import Draw
class Engine():
draw = None
board = None
def __init__(self):
self.draw = Draw()
self.board = Board()
self.draw.set_board(self.board)
def run(self):
info = self.draw.get_board_info(... |
#!/usr/bin/env python
# Copyright 2020 Stanford University, Los Alamos National Laboratory
#
# 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
... |
#
# This file is part of Bakefile (http://bakefile.org)
#
# Copyright (C) 2009-2013 Vaclav Slavik
#
# 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 Software without restriction, including without... |
# %%
#######################################
def split_string(string: str, size: int):
"""Splits a string into smaller strings of the desired size value.
Examples:
>>> string = 'hey hey hiya'\n
>>> split_string(string, 4)\n
['hey ', 'hey ', 'hiya']
References:
https://youtu.be/pG3L2Ojh... |
import torch
import torch.nn as nn
import torchvision.models as models
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
class DetrLoss(nn.Module):
def __init__(self, matcher, num_classes, eos_coef, losses):
super().__init__()
self.num_classes = num_classes
... |
# -*- coding: utf-8 -*-
# __author__ = "wynterwang"
# __date__ = "2020/9/24"
from __future__ import absolute_import
__all__ = ["ResourceIsolation", "ResourceIsolationByUser"]
class ResourceIsolation:
def isolation_filters(self, request):
"""
:param request: request object
:type request: ... |
'''
This script is used to rerun previously run scenarios during the fuzzing process
'''
import sys
import os
sys.path.append('pymoo')
carla_root = '../carla_0994_no_rss'
sys.path.append(carla_root+'/PythonAPI/carla/dist/carla-0.9.9-py3.7-linux-x86_64.egg')
sys.path.append(carla_root+'/PythonAPI/carla')
sys.path.appen... |
import unittest
from pathlib import Path
import json
import pandas as pd
from filmweb_integrator.fwimdbmerge.filmweb import Filmweb
from pandas.io.json import json_normalize
DATA_STATIC = str(Path(__file__).parent.parent.parent.parent.absolute()) + '/data_static'
FILMWEB_EXAMPLE_JSON = DATA_STATIC + '/example_test_01... |
# V0
# V1
# http://bookshadow.com/weblog/2018/06/17/leetcode-exam-room/
# https://blog.csdn.net/fuxuemingzhu/article/details/83141523
# IDEA : bisect.insort : https://www.cnblogs.com/skydesign/archive/2011/09/02/2163592.html
class ExamRoom(object):
def __init__(self, N):
"""
:type N: int
... |
# Copyright 2021 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import contextlib
import difflib
import filecmp
import os
import shutil
import tempfile
import unittest
from json5_generator import Json5File, Writer
@con... |
from Classes.EdgeData import EdgeData
class Edges(object):
"""Class to store and process edge data.
Attributes
----------
rec_edge_method: str
Method used to determine coef for rec. edge 'Fixed', 'Variable'.
vel_method: str
Method used to compute the velocity used 'MeasMag', 'Vect... |
# Created On: 2011-11-27
# Copyright 2013 Hardcoded Software (http://www.hardcoded.net)
#
# This software is licensed under the "BSD" License as described in the "LICENSE" file,
# which should be included with this package. The terms are also available at
# http://www.hardcoded.net/licenses/bsd_license
from qtlib.c... |
import requests
import json
RIDEEM_HOST = 'https://rideem.io'
def API(key = None, host = RIDEEM_HOST):
return Rideem(key, host)
class Rideem(object):
def __init__(self, key = None, host = RIDEEM_HOST):
self._key = key # app private key
self._host = host
def create_app(self, name, email =... |
#!/usr/bin/python3
"""
Given a non-negative integer, you could swap two digits at most once to get the
maximum valued number. Return the maximum valued number you could get.
Example 1:
Input: 2736
Output: 7236
Explanation: Swap the number 2 and the number 7.
Example 2:
Input: 9973
Output: 9973
Explanation: No swap.
No... |
# coding: utf-8
from django.conf import settings
from django.conf.urls import include, patterns, url
from django.contrib.auth.views import logout
from django.contrib import admin
from django.views.generic.base import TemplateView
urlpatterns = patterns(
'',
url(r'^', include('mapa_cidadao.core.urls')),
ur... |
import io
import platform
import os
import sys
import setuptools
try:
from numpy import get_include
except ImportError:
import subprocess
errno = subprocess.call([sys.executable, '-m', 'pip', 'install', 'numpy'])
if errno:
print('Please install numpy')
raise SystemExit(errno)
else:... |
#!/usr/bin/python
# Copyright (c) 2017 Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module:... |
import pytest
from libqtile.widget import BatteryIcon
from libqtile import images
import cairocffi
from .conftest import TEST_DIR
def test_images_fail():
"""Test BatteryIcon() with a bad theme_path
This theme path doesn't contain all of the required images.
"""
battery = BatteryIcon(theme_path=TEST_D... |
# views_counter plugin server
# Developed by Raven, 2021.12.28
# Copyright (c) RavenKiller
# This source code is licensed under the MIT License found in the
# LICENSE file in the root directory of this source tree.
import tornado.ioloop
import tornado.web
import hashlib
import sqlite3
from datetime import datetime as... |
import sys
def triple_trouble(one, two, three):
s = ''
for i in range(len(one)):
s += one[i]
s += two[i]
s += three[i]
return s
if __name__ == "__main__":
if len(sys.argv) == 4:
print(triple_trouble(one=sys.argv[1], two=sys.argv[2], three=sys.argv[3]))
else:
... |
#!/usr/bin/python3
"""
Creating table investment
"""
import models
from datetime import datetime
import sqlalchemy
from sqlalchemy import Column, String, ForeignKey
from sqlalchemy import Integer, DateTime, Float
from models import investor
from models.base_model import BaseModel, Base
class Investment(BaseModel, Bas... |
import os
import torch
from torch import autograd
from ..infer.line_of_best_fit import line_of_best_fit
# A system for autonomous steering using an LSTM network to generate a steering angle based on the slope and intercept
# of the line of best fit calculated for the center line of the road
# Created by brendon-ai,... |
##########################################################################
#
# Copyright (c) 2019, Cinesite VFX Ltd. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions ... |
import torch
import torch.nn as nn
from model import common
import math
def make_model(opt):
return LAUNet(opt)
class Evaluator(nn.Module):
def __init__(self, n_feats):
super(Evaluator, self).__init__()
self.conv1 = nn.Sequential(nn.Conv2d(3, n_feats, kernel_size=3, stride=2))
self.c... |
import unittest
import src.Models.AircraftDynamics as ad
import numpy as np
class AircraftDynamicsTest(unittest.TestCase):
def test_stright_line(self):
dynamics = ad.AircraftDynamics(step_time=0.001, cruise_speed=20.0)
start_state = np.array([10, 10, np.pi/4.0])
end_state = dynamics.update(... |
from django.http import JsonResponse
from django.utils.deprecation import MiddlewareMixin
class FirstMiddleware(MiddlewareMixin):
def process_request(self, request):
print('FirstMiddleware: process_request')
# return JsonResponse({'Hello': 'Django BBS'})
def process_view(self, request, vi... |
import yt
import os as os
from glob import glob
import pandas as pd
from tqdm import tqdm
import pyrats
sims=[]
init=1
for s in sims:
cx=[]; cy=[]; cz=[]; t=[]; x=[]; y=[]; z=[]
os.chdir('/home/pfister/scratch/'+s)
files=glob('output_*')
#for i in tqdm(range(3)):
for i in tqdm(range(len(files)-in... |
from typing import cast
import gym
from gym.spaces import Discrete
def get_action_size_from_env(env: gym.Env) -> int:
if isinstance(env.action_space, Discrete):
return cast(int, env.action_space.n)
return cast(int, env.action_space.shape[0])
|
#!/usr/bin/env python
import os
import subprocess
import os.path as p
import sys
DIR_OF_THIS_SCRIPT = p.dirname( p.abspath( __file__ ) )
DIR_OF_THIRD_PARTY = p.join( DIR_OF_THIS_SCRIPT, 'third_party' )
DIR_OF_YCMD_THIRD_PARTY = p.join( DIR_OF_THIRD_PARTY, 'ycmd', 'third_party' )
python_path = []
for folder in os.lis... |
import dataiku
INPUT_DATASET = "mydataset"
COLUMN_TO_PARTITION_BY = "mypartitioningcolumn"
dataset = dataiku.Dataset(INPUT_DATASET)
df = dataset.get_dataframe(columns = [COLUMN_TO_PARTITION_BY])
combinations = df[COLUMN_TO_PARTITION_BY].unique()
combinations_str = "/".join(combinations)
client = dataiku.api_client(... |
#! /home/alessap/miniconda3/bin/python
import subprocess
print("Setting pointers properties")
# xinput_output = str(subprocess.check_output(["xinput"])).split("\n").split("\n")
# print([line for line in xinput_output if "Master" in line])
ps = subprocess.Popen(("xinput"), stdout=subprocess.PIPE)
output = str(sub... |
"""
PEP8+ code style for better code
=============================================================================
PEP8 is the defacto standard for coding style for Python. Code conforming to
that is fairly readable, but some cases could be better. From experience,
I have learned additional guidelines to improve code ... |
"""Imports Tapis CLI settings to a Jinja environment
Prefixes TAPIS_PY and TAPIS_CLI are stripped and key names are lowercased.
"""
import re
from tapis_cli import settings
BLACKLIST = ['TAPIS_CLI_ALLOW_EMPTY_VARS']
__all__ = ['key_values']
def key_values():
key_vals = dict()
cli_settings = settings.all_se... |
from django.apps import AppConfig
from django.db.models.signals import pre_save
class NodeConfig(AppConfig):
name = 'node'
def ready(self):
from node.models import IncomingNode
from node.signals.node.pre_save import node_pre_save
pre_save.connect(node_pre_save, sender=IncomingNode)
|
import numpy as np
import csv
import time
np.random.seed(1234) # seed 고정
def randomize(): np.random.seed(time.time()) # 현재시각을 seed로
RND_MEAN = 0
RND_STD = 0.0030
LEARNING_RATE = 0.001
def abalone_exec(epoch_count=10, mb_size=10, report=1):
load_abalone_dataset()
init_model()
train_and_test(epoch_c... |
import numpy as np
import pytest
import unittest
from mvc.models.metrics.base_metric import BaseMetric
class BaseMetricTest(unittest.TestCase):
def setUp(self):
self.metric = BaseMetric()
def test_add(self):
with pytest.raises(NotImplementedError):
self.metric.add(np.random.rando... |
# coding: utf-8
import lxml.html
from .abstract import get_strategy
class TestTags:
def test_adding_tags_for_page(self):
# Given
strategy = get_strategy({
'start_urls': [{
'url': 'http://foo.bar/api',
'tags': ["test"]
}]
})
s... |
# 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
# "License"); you may not u... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import os
import argparse
from azureml.core import Datastore
import aml_utils
def main(datastore, data_path):
# Get snapshot of your data and save it in datastore
os.makedirs(data_path, exist_ok=True)
with o... |
"""The package with different tools serving as helpers in other modules."""
from .xmath import Xmath as xmath
__all__ = ["xmath", ]
|
import pickle
from conftest import Benchmark, random_rat
from donuts import RationalFunction
def test_rat_to_string(benchmark: Benchmark) -> None:
r = random_rat(nterms=1000)
result = benchmark(str, r)
assert result
def test_rat_from_string(benchmark: Benchmark) -> None:
r = random_rat(nterms=1000... |
from datetime import datetime, timedelta
from random import randint
from zeeguu_core_test.rules.article_rule import ArticleRule
from zeeguu_core_test.rules.base_rule import BaseRule
from zeeguu_core_test.rules.language_rule import LanguageRule
from zeeguu_core_test.rules.rss_feed_rule import RSSFeedRule
from zeeguu_co... |
from Blueprint3DJSBPY.bp3dpy.model.half_edge import HalfEdge;
from mathutils import Vector;
class Room():
def __init__(self, name, floorplan, corners):
self.__name = name;
self.__floorplan = floorplan;
self.__corners = corners;
self.__walls = [];
self.__interiorCorners = [];... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-11-26 10:54
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('premises', '0001_initial'),
]
operations = [
... |
# Copyright 2019 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
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompa... |
#!/usr/bin/env python
import copy
from importlib import import_module
import logging
import numpy as np
from openquake.hazardlib.gsim.base import GMPE
from openquake.hazardlib.gsim.boore_2014 import BooreEtAl2014
from openquake.hazardlib.gsim.campbell_bozorgnia_2014 import CampbellBozorgnia2014
from openquake.hazard... |
# Author: Mathieu Blondel, 2019
# License: BSD
import numpy as np
from scipy.optimize import fmin_l_bfgs_b
from sklearn.base import BaseEstimator
from sklearn.preprocessing import LabelBinarizer
from sklearn.preprocessing import LabelEncoder
from sklearn.utils.extmath import safe_sparse_dot
from sklearn.preprocessin... |
################################################################################
# (c) 2006, The Honeynet Project
# Author: Jed Haile jed.haile@thelogangroup.biz
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the... |
from setuptools import setup, find_packages
setup(name='busypenguin',
version='0.0.0',
description='Publish slack notifications for tasks using context managers',
url='https://github.com/kyrias/busypenguin',
author='Johannes Löthberg',
author_email='johannes@kyriasis.com',
licens... |
import argparse
import logging
import os
import sys
from src.utils import construct_new_filename
logging.basicConfig(
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
level=logging.INFO,
)
def main():
a_p = argparse.ArgumentParser(
"Rename all 'MacOS screenshot files' like %Y-%m-%... |
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