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#!/usr/bin/python3
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.patches import Patch
import numpy as np
# Menu
def main():
while(True):
choice = int(input("Escolha a questão a exibir {1, 2, 3, 4, 5, 6, 7} \n0 para sair:\n"))
if choice == 1:
questOne()
eli... |
import hashlib
import logging
import json
from datetime import timedelta
from django.conf import settings
from django.contrib.auth.models import User
from django.core.exceptions import ObjectDoesNotExist
from django.db import models
from django.utils import timezone
from django.utils.timezone import now
from channels... |
# -*- coding: utf-8 -*-
from typing import Tuple
from aiida.orm import Data
class EnvironCharge:
def __init__(self, **kwargs):
self._charge = None
self._position = None
self._spread = None
self._dim = None
self._axis = None
if "environ_charge" in kwargs:
... |
import math
from math import cos, sin
import numpy as np
def servo_angles_to_xyzlines(a1, a2, r=0.5):
alpha, beta = math.radians(a1), math.radians(a2)
x1, y1, z1 = r * cos(alpha), 0, r * sin(alpha)
transform = np.array([[cos(alpha), 0, -sin(alpha), x1], # DH matrix
[0, 1, 0, y1... |
"""Plots classifier ambiguity against compactness.
<NAME> <<EMAIL>>
Research School of Astronomy and Astrophysics
The Australian National University
2017
"""
import logging
import astropy.io.ascii
import astropy.io.fits
import astropy.visualization
import astropy.visualization.wcsaxes
import astropy.wcs
import matpl... |
import pytest
from .js_helper import TestCase, _do_test_raw
from validator.testcases.javascript.jstypes import JSWrapper
from validator.testcases.javascript.actions import _get_as_num
def test_array_destructuring():
"""
Make sure that multi-level and prototype array destructuring don't cause
tracebacks.... |
# -*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import time
from PIL import Image
import random
import os
from sample import sample_conf
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "0,1"
import backbone
import common
class TestError(Exception):
pass
class... |
# -*- coding: utf-8 -*-
"""Tools for coloring text in ANSI terminals.
"""
#*****************************************************************************
# Copyright (C) 2002-2006 <NAME>. <<EMAIL>>
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as par... |
# coding=utf-8
import json
from unittest import TestCase
from coverage.plugin import FileReporter
from coverage.python import PythonFileReporter
from coverage.misc import NotPython
from coveralls.control import coveralls
from coveralls.report import CoverallsReporter
from httpretty import HTTPretty, httprettified
from ... |
"""File Helpers."""
import os
import shutil
import string
import time
from pathlib import Path
from typing import Any, List
import yaml
from beartype import beartype
from loguru import logger
# ----------------------------------------------------------------------------------------------------------------------
# Ge... |
# Copyright 2019 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 applica... |
import os
import numpy as np
import pandas as pd
import pygrib
from tqdm import tqdm
import logging
import datetime
#########################
###### Definitions ######
#########################
abs_base_path = os.path.dirname(os.path.abspath(__file__))
'''/home/collin/visibility-China/time_series_analysis/src/data'''... |
"""Diff parsing functions and classes."""
from __future__ import absolute_import, print_function
import re
import textwrap
import traceback
from lib.util import (
ApplicationError,
)
def parse_diff(lines):
"""
:type lines: list[str]
:rtype: list[FileDiff]
"""
return DiffParser(lines).files
... |
# -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... |
from hashlib import sha256, md5
import json
import magic
import os
from girder.utility import hash_state, ziputil, JsonEncoder
from ..license import WholeTaleLicense
class HashFileStream:
"""Generator that computes md5 and sha256 of data returned by it"""
def __init__(self, gen):
"""
This cla... |
import os, logging, json, posixpath
from airflow import configuration as conf
from airflow.www.security import AirflowSecurityManager
from flask import abort, make_response, redirect
from flask_appbuilder.security.manager import AUTH_OID
from flask_appbuilder.security.views import AuthOIDView
from flask_appbuilder.vie... |
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
#%matplotlib inline
import csv
import pickle
import os
import colour
exp_id = '2019_07_27_14_04_36' #original
#exp_id = '2019_07_27_14_04_25' #seed sampling
#exp_id = '2019_07_27_14_39_13' #seed sampling
tlow, thigh = 80, 100 # task ID range
# se... |
# -*- coding: utf-8 -*-
# Author: Harold.Duan
# This module is sbo windows service implements.
from typing import List
__version__ = '0.0.1.dev'
__author__ = 'Harold.Duan'
__all__ = ['conf', 'database', 'new_mcp']
import sys
import json
import os
from os import path
from datetime import datetime, date
f... |
from tweepy import API
from tweepy import Cursor
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
from tweetsent.nlp import Sentiment, SentimentCustom
import os
import numpy as np
import pandas as pd
import re
import altair as alt
# # # # TWITTER CLIENT # # # #
... |
"""
Logger Formatter
"""
from datetime import datetime
import django
import logging
import json
import os
import socket
import traceback
import platform
from ozp import version
BUILTIN_ATTRS = {
'args',
'asctime',
'created',
'exc_info',
'exc_text',
'filename',
'funcName',
'levelname',
... |
import numpy as np
from .utils import aryule_levinson, arburg
from logging import getLogger
logger = getLogger('ChangeFinder')
class SDAR_1D:
def __init__(self, r, k, is_yule=True):
"""Train a AR(k) model by using the SDAR algorithm (1d points only).
Args:
r (float): Discounting pa... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sqlite3
from rapidfuzz import process
import unicodedata
import re
import discord.ext.commands
from discord.ext import commands
# Connect to the local sqlite database `rocbot.sqlite` and generate a list of
# ship names from the `ship` table
def get_ships():
#... |
"""
Adapted from https://github.com/pybind/cmake_example
"""
import fileinput
import os
import platform
import re
import subprocess
import sys
import sysconfig
from distutils.version import LooseVersion
from pathlib import Path
from typing import Any, Dict, List
from setuptools.command.build_ext import build_ext
from ... |
# -*- coding: utf-8 -*-
import numpy as np
import multistreamcache
import multistreamworkers
import Utils
class BatchGen_Single:
'''
Batch generator for individual, unpaired samples from audio streams.
'''
def __init__(self,
model_config,
audio_list,
... |
# Copyright 2016 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... |
# BSD 3-Clause License
#
# Copyright (c) 2017 xxxx
# All rights reserved.
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain th... |
import os
import mne
import numpy as np
import time
import pandas as pd
import itertools
from plipy.ddl_sto import StoDeepCDL1Rank
from scipy.optimize import linear_sum_assignment
from scipy.signal import correlate
from joblib import Memory
from tqdm import tqdm
mem = Memory(location='.', verbose=0)
N_EXAMPLES = 10
... |
# -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
# (see spyder/__init__.py for details)
"""
Internal Console Plugin.
"""
# Standard library imports
import logging
import os
# Third party imports
from qtpy.QtCore import QObject, Signal, S... |
"""Validate branding configuration variables."""
# Standard Library
from typing import Union, Optional, Sequence
from pathlib import Path
# Third Party
from pydantic import (
HttpUrl,
FilePath,
StrictInt,
StrictStr,
StrictBool,
constr,
validator,
root_validator,
)
from pydantic.color i... |
import os
import codecs
import json
import kindred
import bioc
import six
def convertKindredCorpusToBioCCollection(corpus):
assert isinstance(corpus,kindred.Corpus)
collection = bioc.BioCCollection()
for kdoc in corpus.documents:
assert isinstance(kdoc,kindred.Document)
biocDoc = bioc.BioCDocument()
collect... |
#!/usr/bin/python3
# -*- coding: utf8 -*-
# Copyright (c) 2021 Baidu, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE... |
# Copyright 2014 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.
""" Utilities for dealing with builder names. This module obtains its attributes
dynamically from builder_name_schema.json. """
import json
import os
# ... |
#!/usr/bin/env python3
# 用于处理用户上传的图片
import os
import sys
import json as JSON
from PIL import Image
import threading
from time import sleep
next_id = 0
def near_value(i):
if i < 64:
return 0
elif i < 64*2:
return 1
elif i < 64*3:
return 2
else:
return 3
def restore_value(i):
return i*85
def decimal... |
import logging
import pandas as pd
import tldextract
from libs.customExceptions import NoMatch, UnexpectedFBComment, Ignore, UnexpectedFBPost, NothingToDo
def dropByPercentageJSON(data, percentage):
assert(percentage>=0 and percentage<=1)
stopIndex = int((1-percentage)*len(data))
droppedData ... |
# Python
import time
import logging
import argparse
import pygame
import os
import sys
import numpy as np
import subprocess
import signal
CONFIDENCE_THRESHOLD = 0.5 # at what confidence level do we say we detected a thing
PERSISTANCE_THRESHOLD = 0.25 # what percentage of the time we have to have seen a thing
os.en... |
import torch
import torch.utils.data
import pathlib
import collections
from matplotlib import pyplot as plt
NPRegressionDescription = collections.namedtuple(
"NPRegressionDescription",
("query", "target_y", "num_total_points", "num_context_points")
)
class GPCurvesReader(object):
def __init__(self, batc... |
# Copyright The PyTorch Lightning team.
#
# 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 i... |
import numpy as np
from numpy.linalg import pinv, inv
from constants import WINDOW_HEIGHT, WINDOW_WIDTH
from carla import image_converter
def calc_projected_2d_bbox(vertices_pos2d):
""" Takes in all vertices in pixel projection and calculates min and max of all x and y coordinates.
Returns left top, righ... |
import csv
import glob
import os
import pprint
from bs4 import BeautifulSoup
import markdown2
import pandas as pd
def get_links_from_md(file_path, markdowner=markdown2.Markdown()):
with open(file_path) as f:
md = f.read()
html = markdowner.convert(md)
soup = BeautifulSoup(html, 'html.parser')
... |
"""
Loads discussion section PDFs output by fetch_discussions.py.
Extracts tables to Pandas DataFrames with tabula-py and outputs to /data/discussions/parsed_csvs
"""
import argparse
from os import listdir
from typing import Dict, Tuple
import tabula
from ferry import config
from ferry.crawler.common_args import ad... |
# Copyright (c) 2020 PaddlePaddle 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 appli... |
from collections import Counter
from operator import itemgetter
import math
import os
import pickle
import re
import sys
from typing import Any, Dict, Optional, List, Tuple
import typing
import spacy # type: ignore
from spacy import attrs, symbols
from spacy.tokens import Doc, Span, Token # type: ignore
Span.set_ex... |
# -*- coding: utf-8 -*-
# Copyright 2011 Fanficdownloader team, 2018 FanFicFare team
#
# 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
#
# Un... |
import time
import gym
import numpy as np
import tensorflow as tf
from stable_baselines import logger
from stable_baselines.common import explained_variance, tf_util
from BPG.grf_policy import Actor, Critic
from BPG.base_class import ActorCriticRLModel, SetVerbosity, TensorboardWriter
from stable_baselines.common.run... |
import logging
import pytest
from ophyd.sim import make_fake_device
from ..sample_delivery import (HPLC, PCM, CoolerShaker, FlowIntegrator,
GasManifold, Selector)
logger = logging.getLogger(__name__)
@pytest.mark.timeout(5)
def test_sds_init():
logger.debug('test_sds_init')
F... |
"""
A module for handling the files and directories from an illumina run
"""
import os
import glob
from scilifelab.illumina.index_definitions import BASIC_LOOKUP
from scilifelab.utils.string import hamming_distance
from scilifelab.bcbio.flowcell import Flowcell
from scilifelab.bcbio.qc import FlowcellRunMetricsParser
... |
"""test program for grid utility functions
<NAME>
25 april 2014"""
# grid utility routines
import util
# run test
def run_test (test):
if test == 0:
grid = []
util.create_grid (grid)
print (len(grid))
print (len(grid[0]))
print (len(grid[1]))
print (len(grid[2]))
print... |
"""
TeX renderer slave microservice thing.
Send a POST request to /render with a JSON payload of the format:
{
"format": "png", // string, default "png", one of "pdf", "svg" or "png" -- the format of the resulting payload
"header_includes": [], // list of string, optional; extra lines to add to the beginning ... |
from flask import json, jsonify
from authlib.integrations.flask_oauth2 import ResourceProtector, current_token
from authlib.integrations.sqla_oauth2 import create_bearer_token_validator
from .models import db, User, Client, Token
from .oauth2_server import TestCase
from .oauth2_server import create_authorization_server... |
'''Use this code to execute a portfolio optimization model. This code
will select the portfolio with the maximum Sharpe Ratio. The parameters
are set to use 180 days of historical data and rebalance every 30 days.
This is the code used in the following article:
https://blog.enigma.co/markowitz-portfolio-op... |
"""Scraper specification for https://www.green-acres.gr/"""
import re
from datetime import datetime
from typing import Any, Dict, List, Optional, Type
from selenium.webdriver.common.by import By
from selenium.webdriver.support.expected_conditions import presence_of_element_located
from real_estate_scrapers.items impo... |
# 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... |
"""Contain utils for fastapi based services.
This contains:
* optimized logging using Loguru
* optimized exception handling by additional exception handler
log_exception handler
* usage of a config.yml-file to configure the service
* usage of environment-variables (Environment variable overwrites config-value)
to... |
import numpy as np
from code.pytorch.LAMPO.core.model import sum_logs_np
from sklearn.cluster import KMeans
from scipy.stats import multivariate_normal as scipy_normal
from sklearn.covariance import ledoit_wolf
def stable_cov(cov, reg):
reg_new = np.copy(reg)
cov_new = np.copy(cov)
while True:
try... |
from typing import Union
import numba
import numpy
from gensim.models.basemodel import BaseTopicModel
from spec2vec.Document import Document
def calc_vector(model: BaseTopicModel, document: Document,
intensity_weighting_power: Union[float, int] = 0,
allowed_missing_percentage: Union[fl... |
# This script prints a list of all in-use devices in an organization
# to sdtout or a file (Devices which are part of a network are considered in-use).
# The fields printed are 'serial', 'model' and 'lanIp' separated by a comma (,).
#
# You need to have Python 3 and the Requests module installed. You
# can down... |
import json
from flask import request, g, jsonify
from sqlalchemy import or_
from server import redis_client
from server.model.organization import Organization, ReUserOrganization
from server.model.user import User
from server.model.group import ReUserGroup
from server.model.permission import Role, ReUserRole
from serv... |
# coding: utf-8
from pathlib import Path
import luigi
import numpy as np
import xarray as xr
from ....utils.transforms import offset_gal
from . import ExtractField3D
from .base import (
NumpyDatetimeParameter,
XArrayTarget,
_get_dataset_meta_info,
get_workdir,
)
class Single3DShiftedCrop(luigi.Task)... |
from base.torchnlp_dataset import TorchnlpDataset
from torchnlp.datasets.dataset import Dataset
from torchnlp.encoders.text import SpacyEncoder
from torchnlp.utils import datasets_iterator
from torchnlp.encoders.text.default_reserved_tokens import DEFAULT_SOS_TOKEN
from torch.utils.data import Subset
from nltk.corpus i... |
# -*- coding: utf-8 -*-
'''
Load devices from `NetBox <https://github.com/digitalocean/netbox>`__, and make
them available for salt-ssh or salt-sproxy (or any other program that doesn't
require (Proxy) Minions running).
Make sure that the following options are configured on the Master:
.. code-block:: yaml
netbo... |
import zipfile
from datetime import date, timedelta
from io import StringIO
import numpy as np
import re
import argparse
from pathlib import Path
import pandas as pd
from ploomber import DAG, SourceLoader
from ploomber.products import File, GenericProduct
from ploomber.tasks import (PythonCallable, ShellScript, Uploa... |
# -*- coding: utf-8 -*-
# Copyright 2018, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""
A two-ways dict that represent a layout.
Layout is the relation between virtual (qu)bits and physical (qu)bits.
Virtual ... |
from collections import namedtuple
from games import (Game)
class GameState:
def __init__(self, to_move, board, label=None, maxDepth=5):
self.to_move = to_move
self.board = board
self.label = label
self.maxDepth = maxDepth
def __str__(self):
if self.label == None:
... |
import yaml
import Queue
import argparse
import threading
import lib.constants as const
import subprocess32 as subprocess
from lib.node import Node
from lib.helper import Helper
from lib.environment import Environment
# queue to store all nodes
node_q = Queue.Queue()
# data structure to setup dhcp agent and metadata... |
import NN_part2
import numpy as np
import random as rd
import graph_part2
import time
beta = 0.2
gamma = 0.1
n = 10
tau = 25
X = []
T = []
def computeX(nb):
x = [1.5]
for i in range(nb):
if i - tau >= 0:
x.append(x[i] + (beta * x[i - tau])/(1 + x[i - tau]**n) - gamma * x[i])
else:... |
# Copyright (c) 2019, <NAME>
#
# All rights reserved.
#
# The MIT License (MIT)
#
# 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 limitation the right... |
# -*- coding: utf-8 -*-
import os
import six
import pytest
import odin
import odin.exceptions
from odin.codecs import csv_codec
FIXTURE_PATH_ROOT = os.path.join(os.path.dirname(__file__), "fixtures")
class Book(odin.Resource):
title = odin.StringField(name="Title")
num_pages = odin.IntegerField(name="Num Pag... |
# coding: utf-8
# Copyright (c) 2018 ubirch GmbH.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... |
import pandas as pd
import numpy as np
import copy
import time
#load dataset with pandas and put them in numpy arrays
def load():
train = "diabetes_train_features.csv"
train_label = "diabetes_train_labels.csv"
test = "diabetes_test_features.csv"
test_label = "diabetes_test_labels.csv"
df ... |
__doc__ = "a module that houses the priors for our inferences"
__author__ = "<EMAIL>"
#-------------------------------------------------
import numpy as np
import healpy as hp
### non-standard libraries
from gpr_isotropy.utils import (TWOPI, LOG2PI)
#-------------------------------------------------
class RoPrior(... |
"""
Signal Processing and Time Series(신호처리와 시계열)(1)
"""
## 1. statsmodels 모듈
import pkgutil as pu
import numpy as np
import matplotlib as mpl
import scipy as sp
import pandas as pd
import pydoc
import statsmodels as sm
from matplotlib.pylab import rcParams
rcParams['figure.figsize'] = 15, 6
print("Statsmodels versio... |
import csv
import scipy.optimize
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
import matplotlib.colors as colors
from colorsys import hsv_to_rgb
import datetime as dt
def running_mean(x, N):
cumsum = np.cumsum(np.insert(x, 0, 0))
return (cumsum[N:] - cumsum[:-N]) / float(N)
def... |
# Copyright 2017 SAS Project 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 requ... |
#!/usr/bin/env python
# coding: utf-8
import os
import pprint
import pandas as pd
from collections import OrderedDict
def get_parameters():
# Read Data
try:
df_363 = pd.read_excel(
io=os.path.join(os.path.dirname(__file__), 'data', 'tab_dd_363.xlsx'),
sheet_name='dd_363',
... |
"""
Test postprocessing utilities
"""
import sys
sys.path.append('/Users/aleaf/Documents/GitHub/flopy3')
import numpy as np
import flopy
from flopy.utils.postprocessing import get_transmissivities, get_water_table, \
get_gradients, get_saturated_thickness
mf = flopy.modflow
def test_get_transmissivities():
... |
#!/usr/bin/env python3
"""
SPDX-License-Identifier: BSD-3-Clause
This file is part of pyocd_remote, https://github.com/patrislav1/pyocd_remote
Copyright (C) 2020 <NAME> <<EMAIL>>
"""
from paramiko import SSHClient, SSHConfig
from scp import SCPClient
from sshtunnel import SSHTunnelForwarder
import argparse
import sys... |
#!/usr/bin/python3
from adb_get_data import *
from os import environ
from os.path import dirname
def print_output(output):
if len(output) > 0:
print(output)
class device:
def __init__(self,dev):
self.dev = dev
self.name = adb_get_name(dev)
self.abi_support = adb_get_abis(dev... |
import os
import json
import gzip
import random
import itertools
import argparse
import transcripts
def dump(by_group, splits, subset_name, gz = True):
for split_name, transcript in by_group.items():
input_path = os.path.join(splits, f'{subset_name}_{split_name}.json') + ('.gz' if gz else '')
with (gzip.open(in... |
import sublime
import sublime_plugin
import base64
import os
import re
import urllib.parse
import urllib.request
from . import get_image_size
from PIL import Image, ImageSequence
import threading
from io import BytesIO
import time
IMAGE_FORMATS = 'jpg|jpeg|bmp|gif|svg|png|'
g_gif_thread = None
def on_hide_func():
... |
# Copyright 2020 The FedLearner 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 applica... |
"""
Everynet.io endpoint.
You must declare environment variable EVERYNET_URL to activate this plugin.
"""
import os
import json
import base64
import logging
import datetime
import pytz
import re
import random
from django.conf import settings
from django.conf.urls import url
from django.http import HttpResponse
from ... |
import atexit
from time import sleep
from random import choice
from typing import Sequence, Tuple
from sense_hat import SenseHat
Cordinate = Tuple[int, int]
Shape = Sequence[Tuple[int, int]]
Color = Tuple[int, int, int]
rotation = {
'up': 0,
'down': 1
}
movement = {
'left': -1,
'right': 1
}
pieces... |
from collections import defaultdict
import sys
from SPARQLWrapper import SPARQLWrapper, JSON
from csv import reader
import pandas as pd
import sqlite3
class TripleReader:
def __init__(self, triples_file):
self.baseuripred = "http://www.wikidata.org/prop/direct/"
self.baseuriobj = "http://www.wiki... |
import os
import sys
import argparse
import logging
from tqdm import tqdm
from boat_prediction_model import *
from boat_prediction_dataset import *
import torch
from torch import optim
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.tensorboard import SummaryWriter
from torch.utils.... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 3 10:39:32 2017
@author: gtucker
"""
from landlab import RasterModelGrid
from landlab.components import (DepthDependentTaylorDiffuser,
ExponentialWeatherer)
import numpy as np
from numpy.testing import assert_array_... |
import os
from requests.exceptions import RequestException
import pytest
from unittest.mock import create_autospec, Mock
from pyquil.api import WavefunctionSimulator, ForestConnection, QVMConnection, get_benchmarker
from pyquil.api._errors import UnknownApiError
from pyquil.paulis import sX
from pyquil import Program... |
# MIT License
# Copyright (c) 2019 <NAME>
# 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 limitation the rights
# to use, copy, modify, merge, publish,... |
import abc
import os
from typing import Any, Dict, List
import inflection
import torch
import torch.nn as nn
from torch import Tensor
from .data import DataNode
from .node import Node, TensorDict
from .optim import OptimNode
from ..util.args import Args
from ..writer import EpochWriter, ExecWriter
Metrics = Dict[str... |
# coding=utf-8
"""Drawing a Quad via a EBO"""
import glfw
from OpenGL.GL import *
import OpenGL.GL.shaders
import numpy as np
__author__ = "<NAME>"
__license__ = "MIT"
# We will use 32 bits data, so floats and integers have 4 bytes
# 1 byte = 8 bits
SIZE_IN_BYTES = 4
# A class to store the application control
cla... |
import os
os.chdir(os.path.dirname(os.path.abspath(__file__)))
path = os.path.abspath("../..")
import os
import sys
import json
sys.path.append(path + "/lib/others")
from API_method import get, post, put
from info_print import printout
import base64
import requests
import datetime
#パラメータの設定時の出力
def set_parm(param_n... |
testMsgList = ['!AIVDM,1,1,,B,15MWKF0000rvJ>DHvVU:uJ8>0L0I,0*39\r\n',
'!AIVDM,1,1,,A,33ci1b1000rvU90HvmUVa6BJ0000,0*29\r\n',
'!AIVDM,1,1,,A,15MWKF0300rvJ>DHvVTruJ8R0H9t,0*2C\r\n',
'!AIVDM,2,1,0,B,53ci1b02??ShT<DJ221H4hhF08T4p<622222221@B`R8H6T10ID3lU30CQ:5,0*36\r\n',
'!AIVDM,2,2,0,B,DhJH8888880,2*09\r\n',
'!AIVDM,1,1,... |
# Copyright 2013-2019 The Meson development team
# 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 agree... |
"""Demonstrate Network CloudRF API."""
import argparse
import configparser
import csv
import os
import textwrap
from pathlib import Path
from cloudrf import CloudRFAPI
class CloudRFNetwork(CloudRFAPI):
"""Network API class"""
endpoint = '/API/network/'
api_id = 'network'
file_types = ['chart', 'kml... |
#
# 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.
#
# Credits to <NAME> for the Squashed normal and TanhTransform
# https://github.com/denisyarats/pytorch_sac
import torch
import torch.nn a... |
from dataclasses import dataclass
import time
import requests
import logging
logging.basicConfig(level=logging.INFO, format='[%(levelname)s] %(message)s')
logger = logging.getLogger()
logger.addHandler(logging.FileHandler('bottango_python_api.log', 'a'))
@dataclass
class Effector:
name: str
live: bool
i... |
# Copyright (c) 2015, Danish Geodata Agency <<EMAIL>>
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND T... |
from __future__ import print_function, absolute_import, division
import numpy as np
def load_obj_data(filename):
"""load model data from .obj file"""
v_list = [] # vertex coordinate
vt_list = [] # vertex texture coordinate
vc_list = [] # vertex color
vn_list = [] # vertex normal
f_list = [... |
import discord
from discord.ext import commands
import os
import asyncio
import json
import random
from aiohttp import ClientResponseError
from dotenv import load_dotenv
from blagues_api import *
load_dotenv()
KEY = os.getenv("jokes")
jokes = BlaguesAPI(KEY)
SCRIPT_DIR = os.path.dirname(__file__)
FILE_PATH = os.pat... |
from shlex import split
from subprocess import check_call
from charms.docker import Compose
from charms.docker import DockerOpts
from charms.reactive import is_state
from charms.reactive import set_state
from charms.reactive import remove_state
from charms.reactive import when
from charms.reactive import when_any
fro... |
"""
adapted from https://github.com/openai/spinningup/blob/master/spinup/algos/pytorch/vpg/vpg.py
"""
import torch
import carla.agents.core as core
import numpy as np
from collections import deque
from PIL import Image
from torch.utils.data import Dataset
class MultipleWorkerBuffer:
"""
A buffer for storin... |
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