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# start paramatize
#import daemon
from wmctrl_lib import *
import subprocess
import traceback
import abc
import os.path
import time
import os
from multiprocessing import Pool
import threading
def spawnApp(appname,exec_bash):
print("calling spawnApp ==== ")
print(isRunning(appname))
if not isRunning(appna... |
__author__ = '<NAME>'
from collections import OrderedDict
from datetime import date, datetime
from functools import lru_cache
from ipaddress import ip_address
from time import time
from typing import Dict, Optional, List, Any, cast
import aiohttp_jinja2
import monetdblite
from aiohttp import web
from ballcone import... |
from __future__ import annotations
from typing import TYPE_CHECKING
from abc import abstractmethod
from enum import Enum
from dataclasses import dataclass
from types import SimpleNamespace
from contextlib import contextmanager
import torch as th
from dltk.utils import autocast_cls, grad_scaler
from .events import A... |
import sys
import os
import shutil
import logging
from configobj import ConfigObj
from wx.lib.pubsub import pub
import photoinfo
import file_matcher
import settings
config = ConfigObj("default.conf", unrepr=True)
VIDEOS = config['videos_dir']
class Organizer:
""" Main class, finds and moves/copies photos as speci... |
"""Basic XML utilities based on minidom - the built in Document Object Model
"""
import sys
from xml.dom import minidom, Node
def print_tree(n, indent=0):
while n:
print(' '*indent,
'Node name: "%s",' % n.nodeName,
'Node type: "%s",' % n.nodeType,
'Node value: "%s... |
import argparse
import os
import datetime
from my_net import *
import torch.distributed as dist
import torch.distributed.autograd as dist_autograd
import torch.multiprocessing as mp
from torchvision import datasets, transforms
from torch import optim
from torch.distributed.optim import DistributedOptimizer
from torch.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: <NAME>
# @Date: 2015-09-16 11:28:21
# @Email: <EMAIL>
# @Last modified by: etrott
# @Last Modified time: 2016-03-08 12:35:42
import pandas as pd
import numpy as np
import gspread
import re
from .utils import get_credentials
from .gfiles import get_file_id... |
#%%
# according to this tutorial: https://realpython.com/primer-on-python-decorators/
import functools
def my_first_decorator(func):
def wrapper():
print("An event before the function is called")
func()
print("An event after the function is called")
return wrapper
def say_whee():
... |
from __future__ import division
from builtins import object
from past.utils import old_div
from proteus import *
from proteus.default_p import *
from proteus.mprans import SW2DCV
from proteus.mprans import GN_SW2DCV
from proteus.Domain import RectangularDomain
import numpy as np
from proteus import (Domain, Context,
... |
# ==============================================================================
# Copyright (c) 2021, Yamagishi Laboratory, National Institute of Informatics
# Author: <NAME>
# All rights reserved.
# ==============================================================================
import os
import argparse
import torch
... |
"""Networks Allocation API
list(): show the list of networks
show(net): show the properties of net
register(net): register the given network
addresses(net): show addresses of net
addresses(net, status='free'): show only free addresses
addresses(net, status='used'): show only free addresses
... |
# PetitCalc
from PyQt5.QtWidgets import *
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QPalette, QIcon, QFont, QPixmap, QColor
class Calculator:
def __init__(self):
# Create label widget
lbl = QLabel('BasicCalc')
lbl.setFont(QFont('Forte', 30))
lbl.setStyleSheet('co... |
"""
TODO: remove this obsolete SVGImporter
see https://github.com/SebKuzminsky/pycam/issues/118
Copyright 2010 <NAME> <<EMAIL>>
This file is part of PyCAM.
PyCAM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, ... |
import os
import django_rq
from django.contrib.gis.db import models
from django.core.exceptions import ValidationError
from django.utils.translation import ugettext_lazy as _
from rest_framework.reverse import reverse
from converters import CONVERTER_CHOICES, converter_settings
from converters.boundaries import BBox,... |
import pygame, sys
from pygame.locals import *
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
DARKGRAY = (169, 169, 169)
YELLOW = (222, 178, 0)
PINK = (225, 96, 253)
BLUE = (0, 0, 255)
BROWN = (139, 69, 19)
ORANGE = (255, 99, 71)
GRAY = (119, 136, 153)
LIGHTORANGE = (255, 176, 56)
INTE... |
from azure.common.credentials import ServicePrincipalCredentials
from azure.mgmt.resource import ResourceManagementClient
from azure.mgmt.datafactory import DataFactoryManagementClient
from azure.mgmt.datafactory.models import *
from datetime import datetime, timedelta
import time
def print_item(group):
"""Print a... |
# -*- coding: utf-8 -*-
from os import name, system
from time import sleep
from smtplib import SMTP_SSL
from email.message import EmailMessage
from threading import Thread
from random import choice
if name == 'nt':
system("title The Trickster")
system("mode 120, 30")
def clear():
system("cl... |
import datetime
from decimal import Decimal
from django.contrib.auth.models import User
from django.db import models
from pytz import utc
import time
class Exchanges(models.Model):
name = models.CharField(max_length=255)
info_frozen_key = models.CharField(max_length=31)
def __str__(self):
return... |
import re
from enum import Enum
from typing import Iterable, List
from pygitguardian.models import Match
from .text_utils import Line, LineCategory
REGEX_PATCH_HEADER = re.compile(
r"^(?P<line_content>@@ -(?P<pre_index>\d+),?\d* \+(?P<post_index>\d+),?\d* @@(?: .+)?)" # noqa
)
# Source: https://github.com/jon... |
# -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... |
import os
# from django.shortcuts import render
import datetime
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.forms import inlineformset_factory
from django.shortcuts import redirect, render, get_object_or_404
from django.views.generic.list import ListView
fro... |
import argparse
import numpy as np
def solve(*args, **kwargs):
return None
def main(args):
print('Solving')
print('Input: {0}'.format(args.input))
print('Output: {0}'.format(args.output))
with open(args.input, 'r') as in_file:import argparse
import numpy as np
import matplotlib.pyplot as plt
im... |
#!/usr/bin/env python
# coding: utf-8
# In[7]:
import requests
from pprint import pprint
from IPython.core.display import display, HTML
from markdownify import markdownify as md
import json
import re
import urllib.request
from unidecode import unidecode
from datetime import datetime
# In[8]:
IMPO_ENDPOINT='https... |
import torch
import torch.nn as nn
import torch_geometric.nn as geom_nn
import torch_geometric.transforms as geom_transforms
from typing import Union
class GGNNFlatSum(nn.Module):
""" Graph level prediction with gated graph recurrent networks
"""
def __init__(self,
input_channels: int, ... |
from colorexlib.colorexlib.writers.HTMLWriter import HTMLWriter
from colorexlib.colorexlib.common.datastructures import Tile
from colorexlib.colorexlib.common.datastructures import HeatMap
from colorexlib.colorexlib.common.styling import Theme
from colorexlib.colorexlib.common.styling import StyleSheet
from Cheetah.Tem... |
import sys
import base64
import argparse
import logging
from functools import partial
from itertools import cycle, repeat
from threading import Thread
from time import sleep
import json
import multiprocessing as mp
from queue import Empty
import coloredlogs
from websocket import create_connection
import bigchaindb_b... |
# Copyright 2010 New Relic, 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 or agreed to in writ... |
# ===============================================================================
# Copyright 2014 <NAME>
#
# 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/LI... |
import itertools
from nose.tools import assert_true, assert_equal, assert_raises
import cynetworkx as nx
from cynetworkx.algorithms import approximation as approx
def test_global_node_connectivity():
# Figure 1 chapter on Connectivity
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (1, 4), (1, 5), (2, 3... |
"""
Simulate a connection to the equipment.
"""
import os
import re
import random
import logging
import importlib
from .connection import Connection
_backtick_regex = re.compile(r'`(.+?)`')
class ConnectionDemo(Connection):
def __init__(self, record, cls):
"""Simulate a connection to the equipment.
... |
"""
Simple Snake game by Husci - created when learning python
"""
import pygame
import random
FPS = 7
UP = 1
RIGHT = 2
DOWN = 3
LEFT = 4
class Snake(object):
def __init__(self, block_size, width, height, blocks):
self.block_size = block_size # size of a block
self.width = width # numb... |
"""
Compare jobs on factory and Nersc
"""
import argparse
import pprint
import pandas as pd
import logging
from decisionengine.framework.modules import Transform
CONSUMES = ['job_manifests', 'Nersc_Job_Info']
PRODUCES = ['nersc_factory_jobs_comparison']
class CompareNerscFactoryJobs(Transform.Transform):
"""
... |
# Python
import logging
import re
# Genie
from genie.metaparser.util.exceptions import SchemaEmptyParserError
log = logging.getLogger(__name__)
def get_cef_repair_path_of_route(device, prefix, vrf="default", address_family="ipv4"):
""" Get 'repair path' of route
Args:
device ('obj'): Device ... |
import asyncio
import hashlib
from typing import Optional, TypedDict, Dict, Tuple
from aiohttp.client import ClientSession
import aiohttp
from result import Ok, Err, Result
from ruuvi_decoders import get_decoder
STATION_IP = "10.0.0.21"
USERNAME = "username"
PASSWORD = "password"
class SensorPayload(TypedDict):
... |
import os, json, argparse
import ML_Methods, Image_Tools
import pandas as pd
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
#image processor and retrival might be made into a separate module
def imaging_processor(dataset, size = 256., tf_aug = False):
list_label_images= []
list_images ... |
from builtins import zip
from builtins import map
from astromodels import Model, PointSource, Uniform_prior, Log_uniform_prior
from threeML.data_list import DataList
from threeML.bayesian.bayesian_analysis import BayesianAnalysis
from threeML.minimizer.tutorial_material import Simple, Complex, CustomLikelihoodLike
fr... |
import heterocl as hcl
import numpy as np
import math as mt
def top_correlation(M, N, epsilon, dtype=hcl.Int(), target=None):
hcl.init(dtype)
data = hcl.placeholder((N, M), "data")
mean = hcl.placeholder((M,), "mean")
stddev = hcl.placeholder((M,), "stddev")
corr = hcl.placeholder((M, M), "corr")... |
import os
import dotenv
import bottle
import re
import pytz
import subprocess
import hashlib
import base64
import json
import osgeo
import datetime
import logging
import logging.config
logging.config.dictConfig({
"version":1,
"disable_existing_loggers":False,
"handlers":{
"default":{
"c... |
import os
import multiprocessing
import sys
import threading
import tempfile
import time
from datetime import timedelta
from unittest.mock import MagicMock
import pytest
import prefect
from prefect.utilities.configuration import set_temporary_config
from prefect.utilities.executors import Heartbeat, timeout_handler, ... |
import dshelper as dsh
import numpy as np
import os
import pandas as pd
import sys
import time
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis as QDA
from sqlalchemy import create_engine, MetaData
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, S... |
import datetime
from unittest.mock import MagicMock
from runboat.db import BuildsDb, SortOrder
from runboat.github import CommitInfo
from runboat.models import Build, BuildInitStatus, BuildStatus, Repo
def _make_build(
name: str | None = None,
*,
status: BuildStatus | None = None,
init_status: BuildI... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Input queue to feed example when training with Tensorflow
"""
from multiprocessing import Process, Queue, Event, Value
import queue
class Counter(object):
def __init__(self):
self.val = Value('i', 0)
def increment(self, n=1):
with self.va... |
# -*- coding: utf-8 -*-
"""
backend.index
~~~~~~~~~~~~~
Implements index controller
:author: Feei <<EMAIL>>
:homepage: https://github.com/wufeifei/cobra
:license: MIT, see LICENSE for more details.
:copyright: Copyright (c) 2016 Feei. All rights reserved
"""
import time
import opera... |
import logging
import asyncio
import traceback
import collections
import time
class TerminateProcessing(Exception):
pass
class Element(object):
def __init__(self, downstream=None, logger=None):
self.logger = logger
self.downstream = downstream
self.profiler = None
def __rshift__... |
# This file is part of Indico.
# Copyright (C) 2002 - 2019 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from __future__ import unicode_literals
from collections import OrderedDict
from datetime import timedelt... |
import json
from io import BytesIO
import pycurl
from sdcBePy.common.helpers import check_arguments_not_none
def get_url(ip, port, protocol):
return "%s://%s:%s" % (protocol, ip, port)
class SdcBeProxy:
BODY_SEPARATOR = "\r\n\r\n"
CHARTSET = 'UTF-8'
def __init__(self, be_ip, be_port, header, sch... |
#TODO: Use SVM trained on WORKER data to predict the meth score of the DRONE.
#TODO: Append the list of drone data...
#TODO: Do those compare to the Nanopolish predictions?
from ML_SVM_Worker import TrainSVMonWorker
clf = TrainSVMonWorker()
print (clf)
# Function to create a file with Rob's Nanopolish & my Nanop... |
#!/usr/bin/env python3
"""
Created on Wed Dec 4 18:00:00 2021.
@author: yoh
"""
from dataclasses import dataclass
from os import listdir
from os import path as os_path
from os import rmdir
from shutil import rmtree
from typing import Tuple, Type, Union
from pandas import DataFrame as pDataFrame
from so... |
#!/usr/bin/env python3
# Parses linux/input.h scanning for #define KEY_FOO 134
# Prints Rust source header files that can be used for
# mapping and lookup tables.
#
# The original version of this file is in libevdev
#
import re
import sys
class Bits(object):
pass
prefixes = [
"EV_",
"REL_",
"ABS_",... |
import ctypes
import platform
import os
import numpy as np
import numpy.ctypeslib as ctl
# Load the shared library
if platform.system() == 'Windows':
__GORPHO_LIB__ = ctl.load_library('pygorpho.dll', os.getenv('PYGORPHO_PATH','./'))
else:
__GORPHO_LIB__ = ctl.load_library('libpygorpho.so', os.getenv('PYGORPHO_PATH',... |
#!/usr/bin/env python
# encoding: utf-8
import heapq
from doxx.datatypes.package import OfficialPackage
from doxx.utilities.fuzzysearch import FuzzySearcher
from doxx.datatypes.cache import DoxxCache
from Naked.toolshed.system import stdout, stderr
from Naked.toolshed.network import HTTP
def run_search(search_strin... |
#!/usr/bin/env python
# DRAGONS
#
# caldb.py
# ------------------------------------------------------------------------------
# caldb.py -- local calibration database management t... |
# 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
#
# https:#www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... |
'''
Created on Sep 8, 2015
This file contains methods which wrap the mcml simulation so it can be
conveniently called from python. One example for a mcml simulation would be
gpumcml:
https://code.google.com/p/gpumcml/
@author: wirkert
'''
import os
import contextlib
import logging
import subprocess32... |
#!/usr/bin/env python3
"""
usage: pmga-build [-h] [--outdir STR] [--force] [--silent] [--debug] [--version]
pmga-build - Script for creating local BlastDBs from PubMLST alleles
optional arguments:
-h, --help show this help message and exit
--outdir STR Directory to save BLAST databases to
--force Over... |
import os
from nltk import word_tokenize
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn import metrics
from sklearn.model_selection import train_test_split, cross_val_predict
import simplejson as json
import re
import codecs
from Classifiers import MutableKNeighborsClassifier, Mutabl... |
#!/usr/bin/env python
from collections import OrderedDict
import wx
#---------------------------------------------------------------------------
class TestPanel(wx.Panel):
def __init__(self, parent, log):
self.log = log
wx.Panel.__init__(self, parent, wx.ID_ANY, style=wx.CLIP_CHILDREN)
... |
#!/usr/bin/env python3
# coding: utf-8
# Copyright 2016 <NAME>, https://github.com/tywtyw2002, and https://github.com/treedust
#
# 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:/... |
# Copyright 2018 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 agreed to in writing, ... |
from django import forms
from .models import (
Character, CharacterAbilities, CharacterBackground, CharacterSkill,
CharacterToolProficiency, Feature, Language, Subclass, Tool
)
from .widgets import AbilityListBoxSelect
class CharacterForm(forms.ModelForm):
class Meta:
model = Character
fi... |
from typing import Any, Union
import voluptuous as vol
from awesomeversion import AwesomeVersion
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import EVENT_HOMEASSISTANT_STARTED, STATE_ON, __version__ as HAVERSION
from homeassistant.core import Context, CoreState, HomeAssistant, callbac... |
""" Pytest behavior customizations.
"""
import os
import sys
import time
import re
import itertools
import logging
import pytest
from _pytest.terminal import TerminalReporter
from config import load_config, default
from reporting import ReportSingleton, TestFunction, TestReport
class AgentTerminalReporter(Terminal... |
"""IGCSE Past Papers Downloader"""
import os
import requests
import bs4
from PyPDF2 import PdfFileMerger, PdfFileReader, PdfFileWriter
from . import config
def mkdir(name):
"""Makes a dir if that dir does not exist"""
try:
os.mkdir(name)
except FileExistsError:
pass
def get_paper_data(pap... |
import psycopg2
from random import randint, uniform
def queryDB(lists):
con = None
try:
conn_string = "host='ec2-54-83-50-145.compute-1.amazonaws.com' dbname='dad8agdskdaqda' port='5432' user='bxzszdjesssvjx' password='<PASSWORD>'"
print ("Connecting to database\n ->%s" % (conn_string))
conn = psycopg2.connect... |
# f = open('python_log_file','w')
# f.write('Starting python module from OpenFOAM')
# f.close()
import traceback
import sys
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
class online_svd_calculator(object):
"""
docstring for online_svd_calculator:
K : Number of modes to trunca... |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------
# streamondemand - XBMC Plugin
# Conector para streaminto
# http://blog.tvalacarta.info/plugin-xbmc/pelisalacarta/
# ------------------------------------------------------------
import re
from core import httptools
from core import... |
# Copyright 2021 MosaicML. All Rights Reserved.
from __future__ import annotations
import logging
from dataclasses import asdict, dataclass
from typing import Union
import torch
import yahp as hp
from PIL.Image import Image
from torchvision.transforms import functional as TF
from composer.algorithms import Algorith... |
from django.shortcuts import render
# from main.models import Person
# Create your views here.
from django.contrib.auth import update_session_auth_hash
from django.contrib.auth.models import User
from django.contrib.auth.forms import PasswordChangeForm
from django.shortcuts import render, redirect
from django.contrib.... |
import base64
import json
import logging
import os
import threading
import uuid
import time
import structlog
from datetime import datetime
from flask import request, render_template, flash
from app import app, socketio
from app.jwt.encryption import decrypt_survey
from app import message_manager
from app.messaging.pub... |
"""Data fetching
"""
# 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, cop... |
#!/usr/bin/env python3
import argparse
import os
from pathlib import Path
import re
import pandas as pd
import wmfdata as wmf
from wmfdata.utils import print_err
import findspark
findspark.init("/usr/lib/spark2")
this_directory = str(Path(__file__).parent.resolve())
# To do: This way of specifying the Hive database... |
from __future__ import print_function
import os
import sys
import json
import csv
if __name__=='__main__':
SRC_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(SRC_ROOT)
from datetime import datetime
from jinja2 import Template
from jinja2 import Environment, PackageLoader
... |
"""
Parsing of the output from fileinfo.
"""
import json
import re
from regression_tests.parsers.text_parser import Text
def parse(output):
"""Parses the given output from fileinfo (`str`).
:returns: Parsed representation of the given output
(:class:`FileinfoOutput`).
"""
return F... |
# -*- coding: utf-8 -*-
''' Tiene ciertas funciones utiles que son usadas a lo largo
del codigo
'''
import string
import random
import httplib2
import base64
from email.MIMEText import MIMEText
from apiclient.discovery import build
from oauth2client.client import flow_from_clientsecrets
from oauth2client.file import... |
#!/usr/bin/python3 -i
#
# Copyright (c) 2020 The Khronos Group Inc.
#
# SPDX-License-Identifier: Apache-2.0
# Description:
# -----------
# This script generates a .hpp file that can be included in an application
# to generate json data that can then be used to generate the pipeline cache.
import os
import re
import x... |
''' -------> Descrição do Exercício <-------
Exercício utilizando Listas
Faça um algoritmo que, através da digitação pelo teclado, armazene várias cidades e seus estados.
Exemplo da estrutura das listas:
lista_de_cidades lista_de_estados
0 <NAME> RIO GRANDE DO SUL
1 CANOAS RIO GRANDE DO SUL
2 GRAVATAI RIO GRANDE D... |
import dash
import dash_html_components as html
from dash.dependencies import Input, Output, State
from openomics import MultiOmics
from openomics_web.layouts import app_layout
from openomics_web.layouts.clinical_view import ClinicalDataColumnSelect, ClinicalDataTable
from openomics_web.layouts.datatable_view import E... |
"""This module wraps the calls to the GPIO interface."""
from pydgilib.dgilib_config import INTERFACE_GPIO
from pydgilib_extra.dgilib_extra_config import NUM_PINS
from pydgilib_extra.dgilib_interface import DGILibInterface
from pydgilib_extra.dgilib_calculations import GPIOAugmentEdges
from pydgilib_extra.dgilib_data ... |
# Copyright 2016 The Johns Hopkins University Applied Physics 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
#
# Unless required ... |
"""
SOM-DST
Copyright (c) 2020-present NAVER Corp.
MIT license
"""
import torch
import torch.nn as nn
from pytorch_transformers.modeling_bert import BertPreTrainedModel, BertModel
class SomDST(BertPreTrainedModel):
def __init__(self, config, n_op, n_domain, update_id, exclude_domain=False):
super(SomDST,... |
# Copyright 2021 Contributors to the Parsec project.
# SPDX-License-Identifier: Apache-2.0
import os
from os import listdir
from os.path import isfile, join
from yaml import safe_load, dump
from struct import pack
import base64
# Generator functions
# Add your new generator function here
# TODO: with some import syn... |
#!/usr/bin/env python
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
def run_old_oqe(fname, key1, key2, freqrange):
"""
Run old OQE algorithm using capo.
"""
# Legacy functions to load data and estimate power spectrum
import capo
legacy_read_files = cap... |
import json
from django import forms
from category.models import Category
from django.conf import settings
from django.template.loader import render_to_string
from django.utils.encoding import smart_text
from django.utils.safestring import mark_safe
from django.utils.six import unichr
from mptt.forms import TreeNodeC... |
import torch.nn as nn
import torch.nn.functional as F
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, in_planes, planes, stride=1):
super(Bottleneck, self).__init__()
self.conv1 = nn.Conv2d(in_planes, planes, kernel_size=1, bias=False)
self.bn1 = nn.BatchNorm2d(planes)
... |
import warnings
import numpy as np
from yt.testing import \
assert_array_equal, \
assert_array_almost_equal, \
fake_random_ds
import yt.utilities.linear_interpolators as lin
from yt.utilities.lib.interpolators import \
ghost_zone_interpolate
def setup():
pass
def test_linear_interpolator_1d():
... |
import re
import sys
import os
import time
import logging
from datetime import datetime
from resources.log_color import ColoredFormatter
from resources.parser import Parser
from resources.handlers.router import routeSubmission
from resources.save import Save
from resources.db_interface import DBInterface
f... |
# MIT License
# Copyright (c) 2022 <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, publis... |
#!/usr/bin/env python3
"""
Clone builds a cloning dataset and runs a training run over it. We combine these two steps as the
datasets tend to be pretty small so it's simpler to just have all the code together.
"""
import argparse
from pathlib import Path
import multiprocessing
import time
import numpy as np
import torc... |
# Copyright 2004-present Facebook. All rights reserved.
import glob
import json
import logging
import os
import subprocess
import sys
from collections import namedtuple
from typing import Dict, List # noqa
from . import log
LOG = logging.getLogger(__name__)
CACHE_PATH = ".pyre/buckcache.json"
BuckOut = namedtupl... |
from __future__ import division
import numpy as np
from collections import namedtuple
Split = namedtuple('Split',
['feature_ix',
'th',
'X_false',
'y_false',
'X_true',
'y_true'])
class TreeNode:
"""DecisionTree Node. If split node, stores the feature index and the
value to make ... |
""" usage: partition_dataset.py [-h] [-i IMAGEDIR] [-o OUTPUTDIR] [-r RATIO] [-x]
Partition dataset of images into training and testing sets
optional arguments:
-h, --help show this help message and exit
-i IMAGEDIR, --imageDir IMAGEDIR
Path to the folder where the image dataset... |
from modelrAPI import modelrAPI, Rock
from modelr.reflectivity import reflectivity_array
from PIL import Image
import numpy as np
from numpy.random import randn
import requests
from scipy.interpolate import interp1d
import h5py
from StringIO import StringIO
import md5
import json
from bruges.transform import depth_to_... |
from .backend import keras
from .backend import backend as K
class GraphLayer(keras.layers.Layer):
def __init__(self,
step_num=1,
activation=None,
**kwargs):
"""Initialize the layer.
:param step_num: Two nodes are considered as connected if they... |
# -*- coding: utf-8 -*-
"""
pysteps.utils.interpolate
=========================
Interpolation routines for pysteps.
.. autosummary::
:toctree: ../generated/
idwinterp2d
rbfinterp2d
"""
import warnings
import numpy as np
from scipy.interpolate import Rbf
from scipy.spatial import cKDTr... |
"""
This sub module's purpose is to obtain a new normalized \
dataset for SVR
"""
import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn.decomposition import PCA
from sklearn.feature_selection import RFE
from sklearn.model_selection import train_test_split
from sklearn.preprocessing imp... |
# Copyright 2021 MosaicML. All Rights Reserved.
"""Common settings across both the training and eval datasets.
These settings are dataset independent.
"""
from __future__ import annotations
import logging
import textwrap
from dataclasses import dataclass
from typing import Any, Callable, Iterator, Optional
import ... |
from insights.parsers import logrotate_conf
from insights.parsers.logrotate_conf import LogrotateConf
from insights.tests import context_wrap
import doctest
LOGROTATE_CONF_1 = """
# see "man logrotate" for details
# rotate log files weekly
weekly
# keep 4 weeks worth of backlogs
rotate 4
# create new (empty) log fil... |
#coding:utf-8
from pyglet.gl import *
import numpy as np
import OpenGL.GL.shaders
import ctypes
import pyrr
import time
from math import sin
from pyrr import Vector3, matrix44, Matrix44
import time
import numpy
class ObjLoader:
def __init__(self):
self.vert_coords = []
self.text_coords = []
... |
import copy
class Route:
def __init__(self, starting_st, vehicle, hour, time_hor=25):
self.starting_station = starting_st
self.stations = [starting_st]
self.length = 0
self.station_visits = [0]
self.upper_extremes = None
self.time_horizon = time_hor
self.ve... |
# check that the given Mozart file covers the time range and the domain plus a 10 degree buffer
import argparse
import datetime as dt
import os
import re
import sys
from netCDF4 import Dataset as ncdat
wrf_dt_fmt = '%Y-%m-%d_%H:%M:%S'
def shell_error(msg, exitcode=1):
print('{0}:\n\t{1}'.format(__file__, msg), f... |
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