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import argparse
import json
import socketserver
import ssl
import time
import traceback
import webbrowser
import os
from functools import wraps
from http import HTTPStatus, server
from http.server import HTTPServer
from urllib.error import URLError
from urllib.parse import unquote, urlparse, parse_qs
from urllib.reques... |
from contextlib import contextmanager
import logging
import os
from os.path import join, abspath, dirname
import simplejson
import tempfile
from stolos.initializer import initialize as _initialize
from stolos import util
from stolos import queue_backend as qb
from stolos import dag_tools as dt
from stolos import conf... |
import unittest
import random
from pyduino import Arduino
class Arduino_Mock(Arduino):
"""
Mocks the Arduino object
Proxies the write() and readline() calls to an Arduino_Connection_Mock
"""
def __init__(self):
self.conn = Arduino_Connection_Mock()
class Arduino_Connection_Mock():
"""... |
import datetime
import os
import re
from contextlib import closing
from etl import base
from utils.format_helper import (
derived_submitter_id,
format_submitter_id,
remove_time_from_date_time,
idph_last_reported_date,
get_date_from_str,
)
from utils.metadata_helper import MetadataHelper
CURRENT_DI... |
import torch.nn as nn
import torch
from torch.autograd import Variable
# Define a resnet block
class ResnetBlock(nn.Module):
def __init__(self, dim, padding_type, norm_layer, activation=nn.ReLU(True), use_dropout=False):
super(ResnetBlock, self).__init__()
self.conv_block = self.build_conv_block(di... |
#!/usr/bin/env python
# noinspection PyUnresolvedReferences
import vtkmodules.vtkInteractionStyle
# noinspection PyUnresolvedReferences
import vtkmodules.vtkRenderingOpenGL2
from vtkmodules.vtkCommonColor import vtkNamedColors
from vtkmodules.vtkFiltersSources import vtkSphereSource
from vtkmodules.vtkIOImage import (... |
# EXCEL TO SHARED PARAMETER FILE
import sys
print(sys.version)
print(sys.path)
import clr
import System
from System.Collections.Generic import *
clr.AddReference("RevitAPI")
from Autodesk.Revit.DB import *
clr.AddReference("RevitAPIUI")
from Autodesk.Revit.UI import *
from Autodesk.Revit import Creation
clr.AddRefe... |
import tensorflow as tf
import tensorflow.keras as keras
from tensorflow.keras.models import Model
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Dropout
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Input... |
# -*- coding: UTF-8 -*-
import numpy as np
from pypcd import pypcd
from .geometry import *
import random
import numba
import json
from math import *
from scipy.spatial.transform import Rotation as R
def get_objects_from_label(label_file):
values = json.load(open(label_file, 'r'))
objects = [Object3d(value) f... |
import numpy as np
from tensorflow.keras.models import Sequential, load_model
from tensorflow.keras.layers import Input, Dense, Embedding, LSTM, Concatenate, Reshape, GRU, Bidirectional, Dropout
from tensorflow.keras.layers import Conv1D, Flatten, TimeDistributed
from tensorflow.keras.layers import BatchNormalization,... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Provide a test() function that can be called from package __init__.
"""
import os
# Pytest args for main() to ignore several warnings that show up regularly in
# testing but can be ignored.
PYTEST_IGNORE_WARNINGS = (
# See https://github.com/nu... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import argparse, logging
import numpy as np
import struc2vec
from gensim.models import Word2Vec
from gensim.models.word2vec import LineSentence
from time import time
from log import set_up_log
from data import *
from train import *
from model import *
import graph
import random... |
from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
import os
def loadSpc(fileName):
hdu = fits.open(fileName)
header=hdu[0].header
if False:
# print(f"header= {header}")
for k in header:
print(f"{k} = {header[k]} \t\t\t '{header.comments[k]}''")
... |
#!/usr/bin/python
# Copyright 2021 Expedient
#
# 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... |
# -*- coding: utf-8 -*-
"""
Tyre Pressure tracker sending data over MQTT.
Target homeassistant MQTT integration.
"""
import asyncio
import datetime
import json
import logging
import time
import paho.mqtt.client as mqtt
from bleak import BleakScanner
discoveryPayload = {
"name": "Pressure Sensor",
"stat_... |
import hmac
import json
import urllib.parse
import requests.auth
from requests import PreparedRequest as P
from requests import Response as R
from . import base
class AuthBase(requests.auth.AuthBase):
def __call__(self, r: P):
raise NotImplementedError('Auth hooks must be callable.')
@staticmethod... |
from chatterbot.trainers import ListTrainer
from chatterbot import ChatBot
from random import choice
import random
from time import sleep
import os
import sys
import asyncio
import time
bot=ChatBot('Test')
random_bye=["You are a good, person, bye!","Really man, i want to talk with you","If you say it, i have ... |
#!/usr/bin/env python3
# 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
# "L... |
"""This file holds the classes necessary to provide the
"algebraic intermediate representation" (AIR) of the
computation. Informally, the key step needed here is the
"arithmetization" of the computation. That is, the computation
must be configured to work within a given finite field. That
is, the states of the computat... |
from keras.models import Model
from keras.layers import Input, Dense, Flatten, Dropout, Activation, Conv1D, MaxPooling1D, AveragePooling1D
from keras.optimizers import Adam
import keras.models
from .spectral_layers import MultiGraphCNN
from .utils import *
from collections import defaultdict
import matplotlib.pyplot as... |
'''
Created on 21.02.2022
@author: michael
'''
from pathlib import Path
import os
from xml.dom.minidom import parse
from injector import singleton, inject
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib.pagesizes import A4
from reportlab.platypus.doctemplate import SimpleDocTemplate
from report... |
import sqlite3 as lite
from pandas.io import sql
from datetime import date
import pandas as pd
import six
import tushare as ts
from datetime import date
from dateutil.relativedelta import relativedelta
from rqalpha.data.base_data_source import BaseDataSource
cnx = None
cnxname=None
#def save_data(df,code=None, ... |
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import pickle
import random
import re
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import sklearn.datasets
import tensorflow as tf
from sklearn import metrics
from sklearn.cross_validation import train_test_split
from sklearn.feature_extract... |
"""
pages API endpoint
"""
from django.http import JsonResponse, Http404
from django.shortcuts import get_object_or_404
from backend.settings import BASE_URL
from cms.models import Region, Page
from ..decorators import json_response
def transform_page(page_translation):
"""
Function to create a dict from a ... |
import os
import numpy as np
from scipy import special
from scipy.special import sph_harm
from scipy.special import genlaguerre
from scipy.special import factorial as fact
from .hwf import real_wf_nlm_xyz, psi_xyz, radial_wf, bohr_rad_A, elec_mass_amu
def real_wf_cartesian_density(n,l,absm,plusminus,nx,ny,nz,dx,dy... |
import discord
import os
import json
import random as rand
from discord.ext import commands
client = commands.Bot(command_prefix = '.')
token = '******.*************.****************************'
os.chdir('C:\Storage A\BOT')
#-------------------------- LEVEL --------------------------------------
lv1 = 100... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Module that hold the information about the Game class."""
from random import randint
from exceptions import TooManyPlayersError
from player import BotPlayer, HumanPlayer
class Game:
"""Class representing the game.
Holds the information about the players, t... |
import sys
import scipy.sparse as sparse
import scipy.stats
import scipy.sparse.linalg as slinalg
import numpy as np
import numpy.linalg as linalg
import scipy.io as sio
import matplotlib.pyplot as plt
from scipy.ndimage.filters import median_filter
from CSMSSMTools import *
def getLaplacianEigs(A, NEigs):
DEG = s... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... |
# -*- coding: utf-8 -*-
from keras.applications.inception_resnet_v2 import InceptionResNetV2
from keras.applications.inception_v3 import InceptionV3
from keras.applications.resnet50 import ResNet50
import os
import sys
from LossHistory import LossHistory
from DataGenerator import DataGenerator
from datetime import dat... |
from common import * # NOQA
import pytest
CLUSTER_NAME = os.environ.get("CLUSTER_NAME", "")
RANCHER_CLEANUP_PROJECT = os.environ.get("RANCHER_CLEANUP_PROJECT", "True")
namespace = {"p_client": None, "ns": None, "cluster": None,
"project": None, "testclient_pods": [], "workload": None}
def test_dns_reco... |
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 26 06:33:58 2019
@author: sindu
"""
import sys
import numpy as np
import time
filename = "Weather_1000"#"Light_100"#"Graph_Sample9.txt" #"Light_100"
SEP = "," #easy to change separator
start_time = time.time()
def mapper1_emit_uv(file_name):
graph_f... |
# https://leetcode.com/problems/construct-binary-tree-from-string/discuss/100422/
# We perform a recursive solution. There are four cases for what the string might look like:
# empty
# [integer]
# [integer] ( [tree] )
# [integer] ( [tree] ) ( [tree] )
# When there is no '(', we are in one of the first two cases and p... |
import logging
from BaseImage import printMaskHelper
from skimage import io, img_as_ubyte
from skimage.draw import polygon
import os
from pathlib import PurePosixPath, Path
import json
import xml.etree.ElementTree as ET
import numpy as np
def get_points_from_xml(xml_fname):
"""
Parses the xml file ... |
#
# Copyright 2018 IBM Corp. 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 applicable law or a... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# data source management
import json
import logging
import os
import time
import warnings
import geopandas as gp # type: ignore
import requests
from shapely.geometry import box, LineString, Point # type: ignore
from typing import List
SCREEN_PRECISION: int = 2 # ro... |
import pandas as pd
import argparse
import re
import numpy as np
import sys
def fixheadernumbering(header,padding=4):
header_template = "%%s_%%0%sdins%%0%sd"%(padding,padding)
if "ins" in header:
gene, position = header.split("_")
ins_index = position.index("ins")
pos = int(posi... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
FRET-IBRA is used to create fully processed ratiometric images from input donor and acceptor intensity TIFF images
"""
import os, sys, getopt
import configparser
from functions import logit
import background_subtraction as bs
import ratiometric_processing as rp
impor... |
## Function required in the main program
import numpy as np
import xarray as xr
import netCDF4
import pandas as pd
# function to make preciptation rate to preciptation
def convert_to_precipitaion(ds):
temp = ds * 24
# temp = temp.to_dataset()
return temp
# Function to obtain seasonal mean
def season_mean... |
import os
import gym
from gym import wrappers
import random
import torch.optim as optim
from dqn_model import DQN, Dueling_DQN
from dqn_learn import OptimizerSpec, dqn_learning
from utils.schedule import LinearSchedule
from utils.gym_utils import get_env, get_wrapper_by_name
import logz
REPLAY_BUFFER_SIZE = 100000
L... |
""" A key-value store implementation based on sqlite3. """
from __future__ import annotations
import contextlib
import math
import sqlite3
import string
import threading
import time
import typing as t
from ._api import KeyValueStore
def _fetch_all(cursor: sqlite3.Cursor) -> t.Iterable[tuple]:
while True:
ro... |
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 7 16:47:38 2020
@author: eilxaix
"""
import nltk
import re
from tqdm import tqdm
# =============================================================================
# from nltk.corpus import stopwords
# stop_words = set(stopwords.words("english"))
# ========================... |
import re
import json
from pathlib import Path
from configparser import ConfigParser
from typing import Dict, Any, List, Union
from schema_entry import EntryPoint
from pmfp.const import PMFP_CONFIG_HOME, PMFP_CONFIG_DEFAULT_NAME
def setup_cfg_handdler(p: Path) -> Dict[str, Any]:
config = ConfigParser()
result... |
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
palette = [128, 64, 128, 244, 35, 232, 70, 70, 70, 102, 102, 156, 190, 153, 153, 153, 153, 153, 250, 170, 30,
220, 220, 0, 107, 142, 35, 152, 251, 152, 70, 130, 180, 220, 20, 60, 255, 0, 0, 0, 0, 142, 0, 0, 70,
0, 60, 100, 0... |
import retro
import os
import tensorflow as tf
import numpy as np
import time
import matplotlib
import matplotlib.pyplot as plt
from tf_agents.specs import array_spec
from tf_agents.specs import tensor_spec
from tf_agents.networks import network
from tf_agents import specs
from tf_agents.agents.dqn import dqn_agent
f... |
import sys
import os
from random import randint
from math import sin
from tkinter import Tk, Canvas, LabelFrame, Button, FLAT, GROOVE, \
RAISED, SUNKEN, CENTER, W, E, N, messagebox, ttk
import serial
import serial.tools.list_ports
serial_run = False
for port in list(serial.tools.list_ports.comports()... |
# Apache License
# Version 2.0, January 2004
# http://www.apache.org/licenses/
# TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache Li... |
#
# NAME
# problem_set2_solutions.py
#
# DESCRIPTION
# Open, view, and analyze action potentials recorded during a behavioral
# task. In Problem Set 2, you will write create and test your own code to
# create tuning curves.
#
#Helper code to import some functions we will use
import numpy as n... |
from django.utils.translation import ugettext_lazy as _
from django.views.generic import CreateView
from django.views.generic import UpdateView
from django.views.generic.dates import MonthArchiveView
from django.contrib.auth.mixins import LoginRequiredMixin
from django.utils import timezone
from django.urls import reve... |
"""
Lunch Money - Budgets
https://lunchmoney.dev/#budget
"""
import datetime
import logging
from typing import Any, Dict, List, Optional
from pydantic import Field
from lunchable._config import APIConfig
from lunchable.models._base import LunchableModel
from lunchable.models._core import LunchMoneyAPIClient
logger... |
import numpy as np
from pyfpgrowth import find_frequent_patterns
class FeatureDiscretizer():
def __init__(self, bins=5, onehot=True):
self.bins = bins
self.onehot = onehot
def fit(self, X, feature_names=[], feature_types=[]):
self.X_ = X
origin_feature_names = feature_names if... |
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import pandas as pd
pd.set_option('max_rows',20)
import plotly.express as px
import plotly.io as pio
pio.renderers.default = "browser"
df = pd.read_csv("data.csv")
def fig_world_trend... |
#!/usr/bin/env python3
# coding: utf-8
import sys
import ui
SYMBOL_BACKSPACE = '<'
SYMBOL_ENTER = '>'
SYMBOL_SPACE = ' '
class CinFile:
def __init__(self, cin_file_name):
self.cname = None
self.__key2char = dict()
self.__char2key = dict()
self.__key2symbol = dict()
self.__... |
#!/usr/bin/env python
import json
import matplotlib
import numpy as np
import click
from collections import namedtuple
Calc = namedtuple(
"Calc",
[
"wins",
"losses",
"saves",
"goals",
"assists",
"shots",
"lose_score",
"win_score",
"goal_d... |
# coding=utf-8
"""
Preprocess data sets by computing BallTree range index and kNN graph, and also fit MRkNNCoP tree.
"""
import argparse
import logging
import os
import pickle
from os import path
import h5py
import numpy
import pandas
from sklearn.datasets import make_blobs
from sklearn.neighbors import BallTree, knei... |
"""Parse genome assemblies from NCBI by their level of completion.
This script fetches current and historical Assembly Reports from NCBI, and
extracts metadata on assemblies that are relevant for Single Cell Portal.
See get_assembly_report docstring for more detail on historical Assembly
Reports.
Only assemblies that... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
#
# filtered-js-gatherer - Scripts for MWSCup 2017
# https://github.com/h-uekawa/filtered-js-gatherer
#
# Copyright (c) 2017 Team Security Anthem (Okayama Univ.)
# Released under the MIT License, see LICENSE.txt
#
##
import sys
from tweepy.streaming import StreamListe... |
import sys
import re
import itertools
from contextlib import contextmanager
import io
import ctypes
from ctypes import windll
import textwrap
import collections
from jaraco.windows.api import clipboard, memory
from jaraco.windows.error import handle_nonzero_success, WindowsError
from jaraco.windows.memory import Locke... |
import asyncio
import ipaddress
import pickle
import secrets
from pathlib import Path
from typing import AsyncGenerator
from typing import Optional
from typing import TypedDict
from typing import Union
import aiohttp
import aioredis
import cmyui
import databases
import datadog.threadstats.base as datadog_client
import... |
import logging
from django.contrib.sites.models import Site
from rdmo.conditions.models import Condition
from rdmo.core.imports import (fetch_parents, get_foreign_field,
get_m2m_instances, set_common_fields,
set_lang_field, validate_instance)
from rdmo.dom... |
import numpy as np
import pytest
from fdm import forward_fdm, backward_fdm, central_fdm, FDM
from .util import approx
def test_construction():
with pytest.raises(ValueError):
FDM([-1, 0, 1], 3)
@pytest.mark.parametrize("f", [forward_fdm, backward_fdm, central_fdm])
def test_correctness(f):
approx(f... |
# -*- coding: utf-8; -*-
"""Utilities for splicing the actual code into a code template."""
__all__ = ["splice_statements", "splice_dialect"]
import ast
from copy import deepcopy
from .astfixers import fix_missing_locations
from .coreutils import ismacroimport
from .walker import Walker
def splice_statements(body,... |
from rest_framework.viewsets import ModelViewSet
from django_filters.rest_framework import DjangoFilterBackend
from .models import PrintingHouse, PostOffice, Newspaper, Order, PrintRun
from .filters import PrintRunFilter, PrintRunFunc3Filter, PrintRunFunc4Filter
from mainapp.serializers import (
PostOfficeSerializer,... |
#!/usr/bin/env python3
import io
import os
import sys
import time
import bottle
from os import path
from glob import glob
from optparse import OptionParser
from markdown import markdownFromFile
import mdx
import utils
# bottle templates dir
bottle.TEMPLATE_PATH.insert(0, path.join(path.dirname(__file__), 'template... |
import yaml
import os
import packtivity.logutils as logutils
from . import datamodel as _datamodel
class packconfig(object):
def __init__(self, **kwargs):
self.handler_selection = kwargs
fromenv = os.environ.get("PACKTIVITY_SYNCCONFIGFILE", None)
if fromenv:
override = yaml.sa... |
"""Doodba child project tasks.
This file is to be executed with https://www.pyinvoke.org/ in Python 3.6+.
Contains common helpers to develop using this child project.
"""
import json
import os
from glob import glob, iglob
from pathlib import Path
from invoke import task
PROJECT_ROOT = Path(__file__).parent.absolute... |
from pytube import YouTube, Playlist
import re
import sys
class bgcolors:
OKGREEN = '\033[92m' #GREEN
OKBLUE = '\033[94m' #BLUE
OKCYAN = '\033[96m' #CYAN
WARNING = '\033[93m' #YELLOW
FAIL = '\033[91m' #RED
RESET = '\033[0m' #RESET COLOR
BOLD = '\033[1m' #BOLD
UNDERLINE = '\033[4m' #UNDE... |
import json
import logging
import sys
from argparse import ArgumentParser
from typing import List, NamedTuple, Dict, Optional
import docker
from thriftybuilder._logging import create_logger
from thriftybuilder.builders import DockerBuilder
from thriftybuilder.common import ThriftyBuilderBaseError
from thriftybuilder.c... |
# Copyright 2015 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 unittest
from telemetry.core import util
from telemetry.timeline import memory_dump_event
util.AddDirToPythonPath(util.GetTelemetryDir(), 'third_par... |
# -------------------------------------------------------------------------
# Copyright (c) PTC Inc. and/or all its affiliates. All rights reserved.
# See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
r"""`channel` exposes an AP... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# fxp2ardour.py
#
"""Convert one or more VST2 FXP preset files to Ardour VST presets XML files.
"""
import argparse
import hashlib
import os
import sys
from base64 import b64encode
from collections import namedtuple
from os.path import exists, isdir, join
from struct im... |
# Copyright (c) 2019, <NAME>
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from __future__ import absolute_import, division, print_function
import io
import json
import os
import sys
import pandas as pd
import numpy as np
import scipy
from sklearn import preprocessing, random_projection
from sklearn.... |
"""
ulsys stochastic L-System module.
License follows
-------------------------------------------------------------------------------
The MIT License (MIT)
Copyright (c) 2015 <NAME>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "... |
from __future__ import print_function
import os
import argparse
import torch
import torch.backends.cudnn as cudnn
import numpy as np
import time
from models.img_registration_model import TwowayResNet,ResBlock
import cv2
import torchvision.models as models
import numpy as np
from scipy.optimize import leastsq
import ran... |
import unittest
from ember import *
import cantera as ct
from cantera.test.utilities import CanteraTest
class TestPremixedStrained(CanteraTest):
def setUp(self):
self.conf = Config(
Paths(outputDir='build/test/work/premixedStrained',
logFile='build/test/work/premixedStrained.... |
# YOLOv3 common modules
""" Directly Imported from yolov3 - needed for the yolo.py script"""
import math
import torch
import torch.nn as nn
from detectron2.layers import CNNBlockBase, Conv2d, get_norm
def autopad(k, p=None): # kernel, padding
# Pad to 'same'
if p is None:
p = k // 2 if isinstance(k... |
'''
The following script does the following:
- checks for cloned Panacea Lab Twitter repo; if not present in current
directory, clones the Repo
- pulls most recent data from Panacea repo, to ensure contents are up-to-date
- creates list of daily folders located in Panacea repo
- creates raw_dailies folder within my cov... |
# Copyright 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 accompanying... |
"""Geometry routines for working Geogrid"""
import logging
import os
from typing import Tuple
import isce # noqa: F401
import isceobj
import numpy as np
from contrib.demUtils import createDemStitcher
from contrib.geo_autoRIFT.geogrid import Geogrid
from isceobj.Orbit.Orbit import Orbit
from isceobj.Sensor.TOPS.Senti... |
"""Merge People together!"""
from pprint import pformat
import json
from tqdm import tqdm
from django.db import transaction
from django_import_data import BaseImportCommand
from cases.models import Person
from utils.merge_people import find_similar_people, merge_people
THRESHOLD_DEFAULT = 0.9
def proportion(val... |
import pytest
from delphin.lnk import Lnk
from delphin.mrs import (
MRS,
EP,
HCons)
from delphin.codecs import indexedmrs
from delphin import semi
@pytest.fixture
def simple_semi():
return semi.SemI.from_dict({
'variables': {
'u': {'parents': []},
'p': {'parents': ['u... |
from argparse import ArgumentParser
from pathlib import Path
import time
import os
import gin
import numpy as np
import torch
import torch.nn as nn
import torch.optim.lr_scheduler as lr_scheduler
from torch.nn import CrossEntropyLoss
from datasets import get_dataset
from models.gan import get_architecture
from torch.... |
# ___ _ _ ___ __ __ _____ __
# / __| || |_ _| \/ | _ \ \ / /
# | (__| __ || || |\/| | _/\ V /
# \___|_||_|___|_| |_|_| |_|
#
# Copyright (c) 2020 <NAME>. All rights reserved.
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.... |
import argparse
import json
import asyncio
import websockets
import re
import requests
from pathlib import Path
WORK_DIR = Path(__file__).parent
WORDSET_FILE = WORK_DIR / 'words.json'
assert WORDSET_FILE.exists()
def read_config():
try:
with open(WORK_DIR / 'config.json') as f:
return json.lo... |
import numpy as np
import matplotlib
matplotlib.use('Agg')
import os
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
class EBMAligner:
"""Manages the lifecycle of the proposed Energy Based Latent Alignment.
"""
def __init__(self,
ebm_latent_dim=2048,
... |
#library imports
import discord
import time
import json
from fuzzywuzzy import fuzz
#local imports
import config
# command imports
from commands import help, add_role, remove_role, lfg, list_roles, pizza, weather, raid, tradeskilladd, tradeskill, tradeskillremove, leave_server, giphy
from rules import lfg_channel_clea... |
# -*- coding: utf-8 -*-
import logging
import re
import shlex
from datetime import datetime
from bot import listen_to
from bot import respond_to
from datasource import QueryableManager, QueryableManagerError, QueryPhrase
@respond_to('^(.*)$')
@listen_to('^(.*)$')
def query_dispatcher(message, command_body):
''... |
import lvgl as lv
import widgets as w
import icons as i
import game as g
import time as t
NIGHT_THEME = lv.theme_night_init(210, lv.font_roboto_16)
DEFAULT_THEME = lv.theme_default_init(210, lv.font_roboto_16)
MATERIAL_THEME = lv.theme_material_init(210, lv.font_roboto_16)
DISP_SCALE_X = 5
DISP_SCALE_Y = 4
class Ap... |
import collections
import numpy as np
import tensorflow as tf
import tensorflow_federated as tff
import math
import os
import sys
import random
from tqdm import trange
def get_logistic_regression_dataset(dimension, num_samples_per_client, num_clients):
"""Creates logistic regression datset.
Returns:
A... |
#! /usr/bin/env python3.6
"""
This file contains configuration to prune MobileNet on the Imagenet dataset
using the Dynamic Network Surgery strategy.
"""
from functools import partial
import numpy as np
import tensorflow as tf
from nnet.datasets import imagenet_data
from nnet.models.mobilenet import mobilenet_v1
fr... |
import logging
import shutil
import numpy as np
import os
import torch
class Reshape(torch.nn.Module):
"""Module that returns a view of the input which has a different size
Parameters
----------
args : int...
The desired size
"""
def __init__(self, *args):
super().__init__()
... |
# -*- encoding: utf-8
import itertools
import json
import time
from datetime import datetime
import requests
from bs4 import BeautifulSoup, Tag
# Making this a separate class from Work bc the URL being fetched is different and we will need to iterate through pages of comments.
class WorkNotFound(Exception):
pa... |
import bottle
import os
from model import *
rps_controller = RPS_controller()
tiar_controller = GameController(TIAR)
fiar_controller = GameController(FIAR)
USERNAME_COOKIE = "username"
COOKIE_SECRET = 'A common mistake that people make when trying to design something completely foolproof is to underestimate the ingen... |
#!/usr/bin/env python
import socket
import time, sys
from datetime import datetime
from tld import get_tld
#assign variables
host = ''
min_port = 20
max_port = 30
# This dictionary contains the most popular ports used
# You can add ports here.
# The key is the port number and the values is the service u... |
from flask import Flask, request, render_template, jsonify
from flask_cors import CORS
from flask_sqlalchemy import SQLAlchemy
# Time zones
import pytz
# time & atexit: scheduler of temperature recording
import time
import atexit
from apscheduler.schedulers.background import BackgroundScheduler
import datetime
impor... |
""" Copyright (c) 2021, <NAME>, Computational Imaging Science Lab @ UIUC.
This work is made available under the MIT License.
Contact: <EMAIL>
"""
import sys
sys.path.append("../")
import numpy as np
import tensorflow as tf
from fastMRI.common import subsample
class GaussianSensor(object):
""" A random gaussian ... |
import os
import sys
import tarfile
import numpy as np
import sfdmap
import extinction
import hostphot
from astropy import wcs
from astropy.stats import sigma_clipped_stats
from photutils.utils import calc_total_error
def calc_sky_unc(image, exptime):
"""Calculates the uncertainty of the image from the
sky s... |
import numpy as np
import EpidemiologicalModels.CellManagement as CellManagement
class SystemMetrics:
"""Metricas que se monitorean por cada modelo:
statusInTheSystem => Cantidad de individuos por estado
numberOfIndividuals => Cantidad de individuos en el sistema
percentagesInTheSystem => Cant... |
"""
CODE IS AMMENDED FROM:
https://bitbucket.org/tanya14109/cqasumm/src/master/
"""
import re
import numpy
import nltk
from sklearn.feature_extraction.text import TfidfVectorizer
from bs4 import BeautifulSoup
class ANSWER:
def __init__(
self,
answer,
user_upvote_count,
user_downvote_count,
user_reputati... |
from __future__ import annotations
from collections import deque
from operator import add, mul
from typing import (
Callable,
Deque,
Dict,
List,
NamedTuple,
NoReturn,
Optional,
Tuple,
Union,
)
from aoc import split_number_by_places
ParameterModeList = List[int]
class Instruction... |
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