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import ctypes
import json
import os
import random
import socket
import textwrap
import threading
import uuid
from threading import Thread
from typing import List
import spotipy
from spotipy.oauth2 import SpotifyOAuth, logger, SpotifyOauthError
from db import get_spotify_token_info, add_or_update_spotify_token_info, g... |
#! /usr/bin/env python
# Copyright (c) 2018 - 2019 <NAME> <<EMAIL>>
#
# 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 appl... |
"""
A specification drawer is for visualizing combinatorial specification object
"""
import json
import os
import tempfile
import threading
import time
import uuid
import webbrowser
from copy import copy
from typing import TYPE_CHECKING, ClassVar, Dict, Iterable, List, Tuple, cast
import requests
from logzero import l... |
from itertools import cycle
import random
from datetime import datetime
import traceback
from discord import Embed, Message, Member, DMChannel
from discord.ext import menus
class Connect4(menus.Menu):
def __init__(self, *players, **kwargs) -> None:
super().__init__(**kwargs)
self.winner = None
... |
#
# Copyright (c) 2019 ISP RAS (http://www.ispras.ru)
# Ivannikov Institute for System Programming of the Russian Academy of Sciences
#
# 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
#
# h... |
import gzip
import h5py
import math
import numpy as np
import os
import time
from .utils import get_chrom_sizes, rle_encode, vrange
def tsv_to_h5(
tsv_filepath: str,
chrom_sizes_filepath: str,
chrom: str,
bin_size: int,
cluster_size: int = 3,
header: bool = False,
timeit: bool = False,
... |
# Copyright 2020 University of Illinois Board of Trustees. All Rights Reserved.
# Author: <NAME>, DPRG (https://dprg.cs.uiuc.edu)
# This file is part of Baechi, which is released under specific terms. See file License.txt file for full license details.
# =================================================================... |
# TODO: PC->MaG, please check if something missing and delete
import json
import logging
import os
import time
from pathlib import Path
import docker
import pika
from celery import Celery
from celery.states import SUCCESS as CSUCCESS
from celery.utils.log import get_task_logger
from sqlalchemy import and_, exc
from s... |
# Copyright 2015 Ufora 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 i... |
""" dbs.py: Database utility functions for banzai
This is built around the SQLAlchemy ORM
Author
<NAME> (<EMAIL>)
October 2015
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import os.path
from sqlalchemy import create_engine, pool, desc
from sqlalchemy.orm import se... |
import time
import numpy as np
import tensorflow as tf
from stable_baselines import logger
from stable_baselines.common import (ActorCriticRLModel, SetVerbosity,
TensorboardWriter, explained_variance,
tf_util)
from stable_baselines.common.math_u... |
# vim: ft=python fileencoding=utf-8 sts=4 sw=4 et:
# Copyright 2014-2021 <NAME> (The Compiler) <<EMAIL>>
#
# This file is part of qutebrowser.
#
# qutebrowser 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, e... |
# -*- coding: utf-8 -*-
import json
import sys
from sqlalchemy.sql import text
from sqlalchemy.sql import func
from flask import Blueprint
from flask import request
from flask import jsonify
from src.util.logger import get_logger
from src.util.mysqlConnector import get_session
from src.util.stringUtility import str_t... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
***********
consensus_by_alignment_lobSTR.2.3.py
Version 0.4.0
By <NAME> (1)
(1) Department of Pathology, University of Washington School of
Medicine, Seattle, WA 98195
July 2017
Modified November 2018 by <NAME> (1)
Creating single stranded and double stranded co... |
'''
TODO: Usage instructions
TODO: Setup instructions, including required table names, such as top_url etc
'''
# new idea for threshold, perhaps give bonus related to score?
# Work out how to drop without hacking
# Need to do proper analysis of course pages vs non course pages to optimise scorer
# Add extra universiti... |
# <NAME> 2021 for ECE457A A#2
import collections
import math
import numpy as np
from queue import Queue
from queue import LifoQueue
import heapq
from termcolor import colored
mazeList = ([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... |
#/usr/bin/python3
"""
Copyright 2019 <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/LICENSE-2.0
Unless required by applicable law or agreed to in writing,... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
gnpy.core.elements
==================
This module contains standard network elements.
A network element is a Python callable. It takes a .info.SpectralInformation
object and returns a copy with appropriate fields affected. This structure
represents spectral informat... |
"""
Contains the path technology behind opt_einsum in addition to several path helpers
"""
from __future__ import absolute_import, division, print_function
import heapq
import itertools
from collections import defaultdict
import numpy as np
from . import helpers
__all__ = ["optimal", "greedy", "eager"]
def optima... |
from src.model_blocks import *
import torch.nn as nn
import timm
from src.activations import Swish_Module
from src.config import YAMLConfig
import typing
import gc
from src.utils import *
""" Test two pytorch models are the same """
"""
This is a testing for RANZCR. Note that the model weights will never match unles... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
"""
This is a python prototype for a SRS based math
v0.1a: first run for with mult tables and first compute of due time
v0.1b: added \a in the msg_try_again to add a system beep when failing
v0.1c: adding argparse
v0.2: moving to MVC
NEXT:
create client class to prepare for web server / client architecture
"""
from ... |
"""Read flight updates from kafka and store them into the database"""
from collections import defaultdict
from datetime import datetime, timezone, timedelta
from itertools import zip_longest, takewhile, chain
import json
import os
import threading
import time
import traceback
import warnings
from typing import Optiona... |
from datetime import datetime
from flask import (
Blueprint,
current_app,
jsonify,
request
)
import os.path
import re
import time
from flask_jwt_extended import jwt_required
from sqlalchemy.orm.exc import NoResultFound
from app.comms.email import send_email
from app.dao.events_dao import (
dao_cre... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
import matplotlib as mpl
# mpl.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.transforms import Bbox
import nauka
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
import ganground as gg
from gangro... |
import pygame, math
import constants
#This file handles generation of all the sizes of the elements
#The values have been optimised for 1280*720 window area
MARGIN = 2
board_width = 620
board_box_width = 42
piece_box_width = (constants.WINDOW_WIDTH - board_width) / 2 #330
one_piece_box_width = piece_box_width / 2 #16... |
#!/usr/bin/env python
# encoding:utf-8
"""
Author : <NAME>
Date : 2021/4/11
Time: 9:25
File: sensitiveAnalysis.py
HomePage : http://github.com/yuanqingmei
Email : <EMAIL>
Sensitive analysis by trim and fill method.
Reference:
[1] M.Borenstein, <NAME>, <NAME>, <NAME>. Introduction to meta-analysis, John Wiley & Sons, ... |
# Copyright 2022 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... |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 7 10:48:35 2017
Full CI calculation for H2
Main structure:
1. functions dealing with all integrals
2. functions transform MO integrals to AO, and then AO to (Gaussian type orbitals) GTOs
3. Constuct configurations and Hamiltonian matrix
@author: bingg
"""
... |
from mowl.model import Model
from mowl.graph.util import gen_factory
import pandas as pd
import click as ck
import os
import pickle as pkl
import dgl
from dgl import nn as dglnn
import torch as th
import numpy as np
from math import floor
from torch import nn
from torch.nn import functional as F
from torch import optim... |
"""Module that defines the TreeModel.
Based on: PySide examples/itemviews/simpletreemodel
See: https://github.com/PySide/Examples/blob/master/examples/itemviews/simpletreemodel
/simpletreemodel.py
"""
from __future__ import annotations
from collections import OrderedDict
from difflib import SequenceMatcher
impo... |
#FORCESNLPsolver_chance_5_20_50 : A fast customized optimization solver.
#
#Copyright (C) 2013-2020 EMBOTECH AG [<EMAIL>]. All rights reserved.
#
#
#This software is intended for simulation and testing purposes only.
#Use of this software for any commercial purpose is prohibited.
#
#This program is distributed in the ... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
#
import uuid
from copy import deepcopy
from typing import Any, Dict, List, Optional
from uuid import uuid4
import cyclecloud # noqa
from cyclecloud.model.ClusterNodearrayStatusModule import ClusterNodearrayStatus
from cycl... |
"""
anviz_sync.anviz
~~~~~~~~~~~~~~~~
Anviz device abstraction, communication protocol and commands.
crc table & algorithm based on:
https://github.com/benperiton/anviz-protocol
:copyright: (c) 2014 by <NAME>
:license: BSD, see LICENSE for more details.
"""
import socket
import struct
im... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# File: ./hooks/post_gen_project.py
# Author: <NAME> <<EMAIL>>
# Date: 2021-01-30 15:08:47 +0100
# Project: pyproject-template: A cookiecutter template for Python projects
#
# SPDX-License-Identifier: MIT
#
"""Hook... |
import pathlib
import methods
import torch
from torch import utils
import dataset
import logging
import json
import time
import integrators
import numpy as np
from collections import namedtuple
import copy
import functools
TRAIN_DTYPES = {
"float": (torch.float, np.float32),
"double": (torch.double, np.float6... |
"""
Overall approaches for Tamarisk experiments:
The 2.7 python codes are used with RL glue to generate samples. Codes residing at: /home/reazul/Summer-2017/ML+Summer/Summer-2017/TamariskInvasiveSpecies/invasive_species/src are used with the virtual env at: /home/reazul/Summer-2017/ML+Summer/Summer-2017/RL_Glue/python2... |
import copy
import csv
import gzip
import logging
import os
import re
import subprocess
import tempfile
from collections import defaultdict
from multiprocessing import Pool
from pathlib import Path
import numpy as np
import pandas as pd
import tqdm
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord impor... |
import os
from datetime import datetime, timedelta, timezone
from time import time
import json
import numpy as np
from logger_util import logger
from config import BaseConfig
from google.cloud import storage
from download_batch_files import download_batch_into_memory
import requests
import io
import psycopg2
import psy... |
"""
An Implementation of Euler Integration for reaction path following.
References:
[1] <NAME> and <NAME>, J. Chem. Phys. 90(4):2154 (An Improved Algorithm for Reaction-Path Following)
"""
__authors__ = "<NAME>"
__credits__ = ["<NAME>"]
__copyright__ = "(c) 2018-2019, Derricotte Research Group"
__license__ = "... |
"""This module implements a low-level and stateless API for all commands of the STOMP protocol version supported by stompest. All STOMP command frames are represented as :class:`~.frame.StompFrame` objects. It forms the basis for :class:`~.session.StompSession` which represents the full state of an abstract STOMP proto... |
import numpy as np
from gym.spaces import Dict, Discrete
import random
from rlkit.data_management.replay_buffer import ReplayBuffer
import pandas as pd
class ObsDictRelabelingBuffer(ReplayBuffer):
"""
Replay buffer for environments whose observations are dictionaries, such as
- OpenAI Gym GoalEnv env... |
# vim: set et ai ts=4 sts=4 sw=4:
from __future__ import print_function
import os
import textwrap
import base64
import struct
import ctypes
import javaobj
import tempfile
from pyasn1.codec.ber import decoder
from pyasn1.error import PyAsn1Error
b8 = struct.Struct('>Q')
b4 = struct.Struct('>L') # unsigned
b2 = struct.... |
#!/usr/bin/env python
from random import randrange, uniform
import re, sys, os, time, yaml, copy, glob
import numpy as np
from argparse import ArgumentParser
import shutil, subprocess
import matplotlib.pyplot as plt
from constants import *
from regexes import *
from utils import *
from create_run_directory import crea... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
"""
pgs.app
===============
A bottle webapp for serving static files from a git branch,
or from the local filesystem.
Objectives:
* [x] Learn Bottle
* [x] Serve Static Files (such as ``index.html``)
* [x] Append .html (``file_path = ... |
import keras
from keras.models import Model
from keras.layers import Input, Dropout, Activation, SpatialDropout2D, Lambda
from keras.layers.convolutional import Conv2D, Cropping2D, UpSampling2D, Deconv2D
from keras.layers.pooling import MaxPooling2D, GlobalAveragePooling2D
from keras.layers import concatenate, add, mul... |
# Copyright 2021 AlQuraishi Laboratory
# Copyright 2021 DeepMind Technologies Limited
#
# 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
#
# U... |
# apf.py
#
# <NAME> 2017
#
#
# Extends class definitions in spectra.py for the High Resolution Echelle
# spectrometer at the WM Keck observatory.
__author__ = 'nate'
import matplotlib.pyplot as plt
import numpy as np
from astropy.io import fits
from pathos.multiprocessing import ProcessingPool as Pool
from tqdm imp... |
from __future__ import absolute_import, division, print_function
from keras.layers import Lambda, Input, Dense, Conv2D, MaxPooling2D, UpSampling2D, Reshape
from keras.models import Model
from keras.datasets import mnist
from keras.losses import mse, binary_crossentropy
from keras.utils import plot_model
from keras imp... |
import pdb
import numpy as np
import torch
from torch import nn
import torch.nn.functional as F
from maskrcnn_benchmark.utils.logged_module import LoggedModule
def wrap_nd_batch(fn, tensor):
s = list(tensor.shape)
tensor = tensor.reshape([-1, s[-1]])
result = fn(tensor)
s2 = list(result.shape)
asse... |
# Modfied code from scVI to SISUA for loading 10xGenomics datasets
#
# MIT License
# Copyright (c) 2018, <NAME>
# ...
#
# Full license: https://github.com/YosefLab/scVI/blob/master/LICENSE
# Original code: https://github.com/YosefLab/scVI/blob/master/scvi/dataset/dataset10X.py
#
# For more information about how to read... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import collections
import csv
import functools
import warnings
import io
import json
import boto3
import csv
import codecs
from pathlib import Path
from datetime import datetime
from dataclasses import dataclass, field
import typing as t
from bot... |
import os
import time
import shapely
from shapely.geometry import Polygon
import pickle5 as pickle
from mrcnn.model import MaskRCNN
import mrcnn.utils
import mrcnn.config
import cv2
import numpy as np
from flask import Flask, Response
from time import ctime
print(cv2.__version__)
print(cv2.getBuildInformation())
# И... |
"""
Utitilies -- how to intuitively distinguish it from analysisTools.py?
"""
from openmm.app import *
import openmm.unit as unit
import argparse
import os
import csv
import numpy as np
import time
import Bio.PDB # biopython
# import mdtraj as md # mdtraj calls "simtk.openmm", hence "Warning: importing 'simtk.openm... |
#sbatch -a 0-3 multiple_complete_retrieval.slurm
#sbatch -a 0-5 multiple_complete_retrieval.slurm
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import *
import time
import os
import numpy as np
# from ... |
import copy
import getopt
import os
import json
import socket
import sys
import time
from Options import StochasticOptions
from Database.Table import create_datebase, create_table, clean_table, dump_table_names
from Kubernetes import (
create_pods,
# test_ls,
get_pods,
delete_pods,
kube_target_serv... |
import datetime
import csv
import hashlib
import json
import numpy
import os
import pandas
import pickle
import re
import shutil
import uuid
from expfactory.battery import get_load_static, get_experiment_run
from expfactory.survey import generate_survey
from expfactory.experiment import load_experiment
from expfactory... |
from tkinter import *
import tkinter.font as tk_font
import math
def check_decimal(number):
number = str(number)
if len(number.split('.')) == 1:
return int(number)
else:
# also check if input is for ex. <.1> instead of <0.1>
if number.split('.')[0] == "":
number = f"0{n... |
"""
Library Simulation model
Copyright (c) 2020 <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, p... |
# PyVision License
#
# Copyright (c) 2006-2008 <NAME>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list o... |
#!/usr/bin/env python3
import itertools
import os
import sys
from dataclasses import dataclass, field
from pathlib import Path
from typing import Dict, Iterator, List, Optional
import dacite
import ida_bytes
import yaml
import idaapi
import idautils
import ida_funcs
import ida_lines
import ida_search
import ida_segm... |
from tkinter import *
import ID_extract
import file_rename_1
import read_Size
import os
import re
from itertools import groupby
LOG_LINE_NUM = 0
class MY_GUI():
def __init__(self,init_window_name):
self.init_window_name = init_window_name
#设置窗口
def set_init_window(self):
self.init_window... |
import pandas as pd
from scipy.stats import ttest_ind, mannwhitneyu
from copy import deepcopy
from sklearn.metrics import pairwise_distances, roc_curve, auc
from scipy.spatial.distance import pdist
from copy import deepcopy
from sklearn.metrics import confusion_matrix
from copy import deepcopy
import numpy as np
import... |
import numpy as np
import math
import json
import imageio
import xml.etree.ElementTree as ET
from scipy.spatial.transform import Rotation
from svg.path import parse_path, Line, CubicBezier
BPM = 108
TIME_TO_BEATS = BPM / 60
FILES = ["EasyStandard.dat", "ExpertStandard.dat"]
BASE_HJ = 2
RESOLUTION = 0.02 # In normal... |
"""
C64lib module holds all information needed to provide abstraction to low level
graphic related operation and conbertion in Python.
"""
import os
from collections import Counter
import logging
from PIL import Image
from PIL.ImageDraw import Draw
from c64img.path import get_modified_fname
from c64img.logger import ... |
'''
Created on Aug 23, 2017
@author: zli
'''
import cv2
import sys, os, json, argparse
from glob import glob
import numpy as np
from PIL import Image
from faster_rcnn import network
from faster_rcnn.faster_rcnn import FasterRCNN
from faster_rcnn.utils.timer import Timer
from panicle_data_integration import full_day_o... |
###########################################################################
# Created by: <NAME>
# Email: <EMAIL>
# Copyright (c) 2018
###########################################################################
import math
import torch
from torch.nn import Module, Conv2d, Parameter, Softmax, Conv1d
import torch.nn as ... |
"""
"""
#FIXME: Ensure that all attributes of a georef are treated everywhere
#and unit test
from builtins import str
from builtins import object
import sys
import copy
from anuga.utilities.numerical_tools import ensure_numeric
from anuga.anuga_exceptions import ANUGAError, TitleError, \
... |
import os
import math as math
import numpy as np
from tkinter import Tk
from tkinter.filedialog import askopenfilename
import ntpath
from numba import njit
from scipy import interpolate
np.seterr('raise')
@njit
def is_complex(x):
"""
Check if a value is complex
Parameters
----------
x : float
... |
"""
Biharmonic splines in 2D.
"""
import itertools
from warnings import warn
import numpy as np
from sklearn.utils.validation import check_is_fitted
from .base import n_1d_arrays, BaseGridder, check_fit_input, least_squares
from .coordinates import get_region
from .utils import parse_engine
from .model_selection impo... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import timeit
import numpy as np
import math
import random as rand
class calculate_polynomial:
"""
by XRH
date: 2020-08-19
计算多项式的 方法集合
"""
def cal_poly_naive(self,a_list,x_list):
"""
求解多项式的值 (朴素方法)
对于 x_list 的... |
import csv
import PySimpleGUI as sg
import pandas as pd
import sys
import numpy as np
pizzaList = []
price = 0
shipping = False
pizzaChoices = 0
confirm = ""
receipt = []
test1 = False
test2 = False
test3 = False
# rounds number to 4.sf
def roundup(x):
return float(np.format_float_positional(x, precision=4, uni... |
"""
This code is modified from the implementation of "stable_baseline"
(https://github.com/hill-a/stable-baselines) to match the interface
for goal proposing environment
"""
import tensorflow as tf
import numpy as np
import warnings
import logging
from stable_baselines.common.policies import ActorCriticPolicy, Recu... |
import asyncio
import collections.abc
import dataclasses
import json
import re
from typing import List, Optional, Tuple
import aiohttp
import httpstan.models
import httpstan.schemas
import httpstan.services.arguments as arguments
import httpstan.utils
import numpy as np
import simdjson
from clikit.io import ConsoleIO
... |
import sys, os, time, itertools, re, warnings
import numpy as np
import matplotlib.pyplot as plt
import dill as pickle
from obspy.signal.detrend import polynomial
import bead_util as bu
import peakdetect as pdet
import scipy.optimize as opti
import scipy.signal as signal
from tqdm import tqdm
from joblib import Par... |
import json, os, sys, argparse, csv, urllib.parse
from uuid import uuid4
from pprint import pprint
from rdflib import Graph, plugin
from rdflib.serializer import Serializer
from lxml import etree as ET
from statistics import mean
from datetime import datetime
formatPlaceholder = "____MAPS-FORMAT"
def maps_result_to_g... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# written in Python3
# MIT License
#
# Copyright (c) 2018 <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, inclu... |
#!/usr/bin/env python
import logging.handlers
import subprocess
import glob
import os
import sys
import shutil
import mimetypes
from collections import defaultdict, OrderedDict
from tornado.ioloop import IOLoop
from tornado.template import Loader
from tornado.process import Subprocess
from tornado.escape import xhtml_... |
from __future__ import annotations
import sys
from collections import defaultdict
from pathlib import Path
from typing import (
TYPE_CHECKING,
Any,
Callable,
Collection,
Dict,
Iterable,
Iterator,
List,
NamedTuple,
Optional,
Sequence,
Set,
Tuple,
Type,
TypeVar... |
import unittest
import numpy as np
import numpy.testing as npt
from squidward import gpc, utils
from squidward.kernels import distance, kernel_base
# useful for debugging
np.set_printoptions(suppress=True)
np.random.seed(0)
class ClassificationTestCase(unittest.TestCase):
"""Class for guassian process classific... |
import tkinter as tk
from tkinter import ttk
from tkinter import filedialog
from codeeditor import CodeeditorFrame
from dialog import OpenFileDialog, SettingsDialog, MessageDialog, SaveFileDialog
from configuration import Configuration
import keyword
import os
import gc
import webbrowser
import subprocess
class Notebo... |
# -*- coding: utf-8 -*-
"""
test_api
~~~~~~~~
Test the core API functionality.
"""
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
import logging
import os
import re
import time
import pytest
import six
from chemspipy import ChemSpider, errors
logging... |
"""
Use DDPG to train a stock trader based on a window of history price
"""
from __future__ import print_function, division
from model.ddpg.actor import ActorNetwork
from model.ddpg.critic import CriticNetwork
from model.ddpg.ddpg import DDPG
from model.ddpg.ornstein_uhlenbeck import OrnsteinUhlenbeckActionNoise
fro... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © Her Majesty the Queen in Right of Canada, as represented
# by the Minister of Statistics Canada, 2019.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... |
import numpy as np
from .. import constants as c
from .scatmodel import ScatModel
__all__ = ['Mie']
MAX_RAM = 8.0
# Major update: March 27, 2016
# This code is slow, so to avoid running getQs over and over again, create
# "calculate" function that runs getQs and stores it, then returns the appropriate values later??... |
import pickle
import random
import matplotlib.pyplot as plt
from sklearn.utils import shuffle
from tensorflow.contrib.layers import flatten
import tensorflow as tf
import numpy as np
import cv2
import os
import glob
import matplotlib.image as mpimg
# 忽略读取mnist数据时的warning
old_v = tf.logging.get_verbosity()
tf.logging.s... |
#!/usr/bin/env python
from __future__ import print_function
import os
import sys
import codecs
import json
import fnmatch
import shlex
import collections
import cmd
ANSI_BLUE = '\033[94m'
ANSI_GREEN = '\033[92m'
ANSI_YELLOW = '\033[93m'
ANSI_RED = '\033[91m'
ANSI_PROMPT = '\033[95m'
ANSI_ENDC = '\033[0m'
class Delega... |
import sys
import numpy as np
import pandas as pd
from sklearn import metrics
from sklearn.cluster import AffinityPropagation
from sklearn.cluster import AgglomerativeClustering
from sklearn.cluster import Birch
from sklearn.cluster import DBSCAN
from sklearn.decomposition import PCA
from sklearn.neighbors import knei... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on 2017-10-06 at 13:29
@author: cook
Version 0.0.0
"""
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
from astropy.table import Table
from astropy import units as u
from tqdm import tqdm
import warnings
import os
import time... |
from __future__ import division
import sys
import pytest
from gmpy_cffi import mpz, MAX_UI
PY3 = sys.version.startswith('3')
if PY3:
long = int
invalids = [(), [], set(), dict(), lambda x: x**2]
class TestInit(object):
small_ints = [-1, 0, 1, 123, -9876, sys.maxsize, -sys.maxsize - 1]
big_ints = [s... |
# Copyright (c) 2006-2012 Regents of the University of Minnesota.
# For licensing terms, see the file LICENSE.
from decimal import Decimal
import os
import sys
import conf
import g
from item import geofeature
from item import item_base
from item import item_helper
from item.util.item_type import Item_Type
from util_... |
"""
###############################################################################
# Copyright 2019, by the California Institute of Technology. ALL RIGHTS RESERVED.
# United States Government Sponsorship acknowledged. Any commercial use must be
# negotiated with the Office of Technology Transfer at the
# Califo... |
from brewutils import Archive, SchemaRef, compare_version, compute_digest, cwd, download_file, schemas, tempdir
from glob import glob
from jsonschema import ValidationError
from koji import ClientSession, PathInfo
from logging import getLogger
from os import getenv, listdir, mkdir, devnull
from os.path import basename,... |
import cmd
import os
import sys
from string import digits
from traceback import print_exc
from serial import Serial
from serial.serialutil import SerialException
from typing import Any
import time
from funibot_api.funiconfig import FuniArgs, FuniConfig
from funibot_api.funilib import Direction, Vecteur
from funibot_ap... |
# file findingaids/content/tests.py
#
# Copyright 2012 Emory University Library
#
# 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
#
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# A tf.keras implementation of MobileViT,
# ported from https://keras.io/examples/vision/mobilevit/
#
# Reference:
# [MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer](https://arxiv.org/abs/2110.02178)
# https://github.com/apple/ml-cvn... |
import pickle
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from skimage import color
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
from numpy.linalg import norm
from scipy.signal.signaltools import convolve2d
import os
import time
training_file =... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly.graph_objects as go
import json
import datetime
from dateutil.relativedelta import relativedelta
import os
from urllib.request import urlopen
from pandas.api.types import is_numeric_dtype
# https://github.com/ebmdatalab/datalab-pandas... |
# -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# <NAME>
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.label
------------
The `labels` module provides plot items related to labels and legends:
* :py:class:`guiqwt.shapes.LabelItem`... |
from social_django.views import _do_login
from social_core.actions import do_auth, do_complete, do_disconnect
from django.core.exceptions import ObjectDoesNotExist
from django.contrib.auth.decorators import login_required
from .models import ProfileForm, Profile, Workout, WorkoutForm, FSWorkoutForm
from badgify.models ... |
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