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#!/usr/bin/env python # coding: utf-8 # Copyright 2022 by Leipzig University Library, http://ub.uni-leipzig.de # <NAME>, <<EMAIL>> # # This file is part of the Spcht. # # This program is free software: you can redistribute # it and/or modify it under the terms of the GNU General Public # License as p...
from typing import Dict, Optional, Any import numpy as np import scipy import pandas as pd import threading def black_scholes(S, K, T, rf: float, iv, option_type) -> pd.DataFrame: """ Black Scholes modeling function. * https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr677.pdf ...
from __future__ import annotations import socket import logging import re import threading import pyaudio import array from typing import List, Optional, Tuple, Union logging.basicConfig(filename='audiostream_logs.log', level=logging.INFO) _MSG_PREFIX = b'PRE' _MSG_SUFIX = b'SUF' def _compose_message(message: byt...
""" Distributed under the terms of the BSD 3-Clause License. The full license is in the file BSD_LICENSE, distributed with this software. Author: <NAME> <<EMAIL>> Copyright (C) European X-Ray Free-Electron Laser Facility GmbH. All rights reserved. Modified from https://github.com/European-XFEL/EXtra-foam, version 1....
# # Copyright (C) 2019 <NAME> # University of Siena - Artificial Intelligence Laboratory - SAILab # # # USienaRL is licensed under a BSD 3-Clause. # # You should have received a copy of the license along with this # work. If not, see <https://opensource.org/licenses/BSD-3-Clause>. # Import packages import os import n...
""" This file contains various methods for learning the mixing weights, globally, per user etc. It uses multi-processing to learn them, so the code can be lengthy at times. The horsepower of this file is the method _learn_global_mixture_weights which implements the EM algorithm on the data. Equation 4 from the paper Pr...
#!/usr/bin/env python u""" jpl_ecco_v4_sync.py Written by <NAME> (10/2021) Syncs ECCO Version 4 model outputs from the NASA JPL ECCO Drive server: https://ecco.jpl.nasa.gov/drive/files/Version4/Release4/interp_monthly/README https://ecco-group.org/products-ECCO-V4r4.htm https://ecco-group.org/user-guide-v4r4.htm http...
# ----------------------------------------------------------------------------- # WARNING: GAME WILL NOT WORK UNLESS LSL STREAM IS ACTIVE # OpenBCI EEG Pong # Language - Python # Modules - pygame, sys, random, math, pyqtgraph # # Controls - Arrow Keys for Right Paddle and WASD Keys for Left Paddle # # Modified by <NAME...
import cv2 import random import winsound import math import mediapipe as mp import numpy as np cap = cv2.VideoCapture(0) # cap.set(cv2.CAP_PROP_AUTO_EXPOSURE, 9) # cap.set(cv2.CAP_PROP_EXPOSURE, -7.0) mpHands = mp.solutions.hands hands = mpHands.Hands() mpDraw = mp.solutions.drawing_utils dotX = 50 dot...
from flask import Flask, render_template, url_for, request, redirect, \ session, jsonify, send_file, Blueprint, stream_with_context, Response from models.models import * from mongoengine.queryset.visitor import Q from zipfile import ZipFile from config import API_URI, API_URI_SR, URL from controllers.similarity_che...
import sys import os import traceback import tempfile import shutil import shlex import subprocess from threading import Thread import nibabel as nib import wx from wx.lib.pubsub import pub class OptionError(RuntimeError): pass class Mkdir: def __init__(self, dirname): self.dirname = dirname de...
""" Created on Sat Sep 18 23:11:22 2021 @author: datakind """ import logging import os import sys import typing as T from functools import reduce from pathlib import Path import pandas as pd import requests from matplotlib import collections from matplotlib import pyplot as plt from analysis.acs_correlation import c...
# # Copyright (c) 2020 Xilinx, Inc. All rights reserved. # SPDX-License-Identifier: MIT # import os import sys import yaml import shlex import shutil import inspect import argparse import subprocess import logging from roast.utils import * # pylint: disable=unused-wildcard-import from roast.component.basebuild import...
from dotenv import load_dotenv, find_dotenv load_dotenv(find_dotenv()) import requests, time, json, re import os, logging, tweepy from typing import Tuple, List, Dict from sqlalchemy import create_engine, Table, Column, Integer, String, MetaData, select, insert, update, func from app.scraper import DB import a...
# Plot CAV1 transcript/ratio eQTL try: import configparser except ImportError: import ConfigParser as configparser import sys import timeit from collections import defaultdict #from interval import Interval, IntervalSet import re import pandas as pd from sklearn.decomposition import PCA import matplotlib impo...
from __future__ import print_function, division import numpy as np from scipy.interpolate import RegularGridInterpolator, interpn import scipy.ndimage.interpolation as spinterp import scipy.ndimage.filters as spfilter from geometry import gencoords, gencoords_centermask import pyximport; pyximport.install(setup_args...
import torch import torch.nn as nn class DoubleConv(nn.Module): """(convolution => [BN] => ReLU) * 2""" def __init__(self, in_channels, out_channels, mid_channels=None, activation_function=nn.ReLU): super().__init__() if not mid_channels: mid_channels = out_channels self.dou...
import logging from datetime import datetime import pytz import psutil import os import atexit from io import StringIO import boto3 from botocore.exceptions import ClientError import base64 import json import pickle import pathlib import pandas # Allow for asyncio to be run from within Jupyter notebooks # and other p...
""" Overview -------- general info about this module Classes and Inheritance Structure ---------------------------------------------- .. inheritance-diagram:: Summary --------- .. autosummary:: list of the module you want Module API ---------- """ from __future__ import absolute_import, division, print...
import General, Colors import Structure import seaborn as sns import matplotlib.pyplot as plt import pandas as pd import numpy as np import scipy import scipy.stats import os, sys, re, math assert sys.version[0] == '3' ################################ #### read SHAPE ################################ def read_shape...
#!/usr/bin/env python3 """ stegosaurus.py Encode hidden messages into image files. """ import argparse import hashlib import logging import os import zlib from collections import Counter from datetime import datetime import coloredlogs import numpy as np from PIL import Image from tqdm import tqdm log = logging.ge...
import cv2 import numpy from cimbar.util.geometry import calculate_midpoints def next_power_of_two_plus_one(x): return 2**((x - 1).bit_length()) + 1 # should be thought of as a line, not an area class Anchor: __slots__ = 'x', 'xmax', 'y', 'ymax' def __init__(self, x, y, xmax=None, ymax=None): ...
import numpy as np import argparse import cv2 import subprocess import time import os import pprint import math def show_image(img): cv2.imshow("Image", img) cv2.waitKey(0) def draw_labels_and_boxes(img, boxes, confidences, classids, idxs, colors, labels): # If there are any detections if len(idxs) > ...
""" Trains an image segmentation model with SGD. python joint_train.py --seperate_background_channel --data_dir joint_fewshot_shards_uint8_background_channel --augment --epochs 10 --steps_per_epoch 2 --batch_size 3 --val_batches 2 --sgd --l2 --final_layer_dropout_rate 0.2 --rsd 2 --restore_efficient_net_weights_from m...
import re import cv2 import time from copy import deepcopy from src.utils.utils import * class Station: def __init__(self): self.station_index = 0 self.station_box = 0 self.station_node = 0 self.processing_count = 1000 self.is_free = 1 self.counter = 0 self....
#!/usr/bin/env python # coding: utf-8 # ## GMLS-Nets: 1D Regression of Linear and Non-linear Operators $L[u]$. # # __<NAME>__, __<NAME>__ <br> # http://atzberger.org/ # # Examples showing how GMLS-Nets can be used to perform regression for some basic linear and non-linear differential operators in 1D. # # __Param...
from __future__ import print_function # -*- coding: utf-8 -*- # %run py_eddy_tracker_property_classes.py """ =========================================================================== This file is part of py-eddy-tracker. py-eddy-tracker is free software: you can redistribute it and/or modify it under the te...
#Import libraries and functions from itertools import combinations from math import sqrt from copy import deepcopy from numpy.linalg import solve, LinAlgError from fractions import Fraction #Define algebra toolbox #Define method to solve system of two linear equations #left = [row1, row2] #right = [num...
import os import struct import logging _logger = logging.getLogger(__name__) class UTFFile(object): def __init__(self, utf_file=None): self._file = os.path.abspath(utf_file) if utf_file else None if utf_file and os.path.isfile(self._file): self._load_file() else: ...
#!/usr/bin/env python try: from gpiozero import DigitalOutputDevice from gpiozero import DigitalInputDevice, Button RPI_OK = True except: RPI_OK = False pass import webapp from signal import pause EXPLODE_TIME = 18 EXPLODE_TRACK = 3 DIM1_INTRO = 50 DIM2_INTRO = 40 DIM1_TRAIN = 35 DIM2_TRAI...
# coding=utf-8 ''' Created on 2018年3月21日 @author: heguofeng ''' import unittest from pp_file import Filer import logging import shutil import os import time import struct import threading from _thread import start_new_thread from pp_link import NAT_TYPE, PP_APPID, BroadCastId from pp_control import PPNetApp, PPSt...
import random VERBOSE=False OWN_NAMESPACE="http://jackjansen.nl/igor/owner" # Shoulnd't be here, really... class CannotFix(Exception): pass class StructuralConsistency: def __init__(self, igor, fix, namespaces, token, extended=False): self.igor = igor self.database = self.igor.database ...
""" Author: <NAME> Creates an icosphere by repeated subdivision of an icosahedron. I have naively built it from: 1 - defining vertex locations 2 - finding their neighbouring vertices from a nearest-neighbour search 3 - interpolating half way between vertices and their neighbours to identify the new vertic...
#!/usr/bin/env python from __future__ import print_function, division import argparse import os if 'MPLBACKEND' not in os.environ: os.environ['MPLBACKEND'] = 'Qt4Agg' import quod import numpy as np import sys import subprocess import re import shlex class Protein(object): fasta = '' entities = {} def __init__(s...
import pandas as pd import numpy as np import random import string import time supply_center_country = { 'Eastern China': ['China'], 'Europe': ['France', 'Germany', 'Italy', 'Spain', 'Sweden', 'United Kingdom', 'Netherlands'], 'America': ['Canada', 'Mexico', 'United States'], 'Southern China': ['China'...
from repo import Repo import sys import os import types sys.path.insert(0, os.path.dirname(os.path.abspath(os.path.dirname(__file__)))) from inflector import Inflector, English inflector = Inflector(English) def does_not_mutate(func): """Prevents methods from mutating the receiver""" def wrapper(self, *args, ...
import globus_sdk import os from pathlib import Path import copy from enum import Enum import sys import json import datetime from dataverse import xferjob from typing import List, Dict class GResultType(Enum): SUCCESS = 1 REDIRECT = 2 NOT_LOGGED_IN = 3 ERROR = 4 NOT_COMPLETE = 5 class GResult: ...
# encoding: utf-8 # # This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this file, # You can obtain one at http://mozilla.org/MPL/2.0/. # # Author: <NAME> (<EMAIL>) # import re from mo_future import string_types, text, first...
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appli...
from scene import * from random import randint, random, choice from sound import play_effect from colorsys import hsv_to_rgb from math import sin from functools import partial from copy import copy class Star (object): def __init__(self): self.x = randint(0, 768) self.y = randint(0, 1024) self.v = random() * 5 ...
#!/usr/bin/env python ################################################################# # # qcVCF # <NAME> # Harvard Medical School # <EMAIL> # ################################################################# ################################################################# # # LIBRARIES ...
#!/usr/bin/env python2 """analyze.py: Reads and analyzes ecfs metadata db dump.""" __author__ = "<NAME>" __status__ = "Production" import matplotlib matplotlib.use('Agg') from matplotlib import pyplot from matplotlib import dates import numpy as np import sys import os import gzip import time import calendar impo...
from PyQt5.QtWidgets import * from PyQt5.QtCore import Qt,QMimeData import datetime import time import pytz from csv import reader,writer,DictReader,DictWriter from utils import * from Actions import * from FilterMenu import * from JAWSDialog import * #The Preferences Dialog widget. #The dialog is made up of individu...
#!/usr/bin/env python import time from re import sub from sys import exit import cPickle as pickle from condor import classad,htcondor from Misc import PInfo,PDebug,PWarning,PError from os import getenv,getuid,system,path,environ # Module was partitioned to facilitate reading job configs # on nodes that do not have h...
# -*- coding: utf-8 -* from pathlib import Path import ujson as json import numpy as np from . import _deck from . import _utils _BONUS_CARDS = {_deck.Card(c) for c in ["Qh", "Kh"]} class DefaultPlayer: # pylint: disable=too-many-instance-attributes """Player which selects one card randomly at each round. ...
import numpy as np import matplotlib.pyplot as pl import seaborn as sb from scipy.stats import norm from seaborn.palettes import get_color_cycle from numpy import asarray, zeros, linspace, diff, sqrt from .core import * def wavelength_to_rgb(wavelength, gamma=0.8): '''This converts a given wavelength of light to...
# # Copyright (c) SAS Institute 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 w...
# !pip install segmentation-models import keras import warnings import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from PIL import Image from segmentation_models import Unet from segmentation_models.backbones import get_preprocessing from keras.models import load_model batch_s...
#coding=utf-8 """ Visualisations for the input-output function of neurons over time. """ import logging import numpy as np import pandas as pd import seaborn as sns from matplotlib import cm, colors, pyplot as plt from mpl_toolkits.mplot3d import Axes3D from src.config import settings from src.io_time_heatmap import f...
import time,calendar,os,json,sys,datetime,csv,random from math import log,sqrt from requests import get from subprocess import Popen,PIPE def datetoday(x): t=time.strptime(x+'UTC','%Y-%m-%d%Z') return calendar.timegm(t)//86400 def daytodate(r): t=time.gmtime(r*86400) return time.strftime('%Y-%m-%d',t) def ge...
""" Mostly copy-paste from DINO and timm library: https://github.com/facebookresearch/dino https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/vision_transformer.py """ import warnings import math import torch import torch.nn as nn import torch.utils.checkpoint as checkpoint from timm.models.laye...
import numpy as np import pdb from .base import StructuredModel from ..inference import inference_dispatch, get_installed from ..inference import saddle_point_sum_product as spsp from .utils import loss_augment_unaries import numpy as np from .graph_crf import GraphCRF import numpy as np from .crf import CRF fro...
import sys sys.path.append("../") import numpy as np import matplotlib.pyplot as plt from matplotlib import patches import random import os import IPython.html.widgets as w import cv2 import matplotlib.animation as animation from mpl_toolkits.axes_grid1 import make_axes_locatable from IPython.display import clear_outp...
#!/usr/bin/env python3 # Copyright (c) 2008-10 Qtrac Ltd. All rights reserved. # This program or module 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, either version 2 of the License, or # version 3 of the Li...
try: import cPickle as pickle except: import pickle import os import numpy as np import pandas as pd import copy from scipy import spatial from utils.utils_date import * from tqdm import tqdm def yes_or_no(question): """ Ask to the user a question. Possible answer y (yes) or n (no) ...
# Imports packages from gensim.models import KeyedVectors import numpy as np import os import pickle as pk import re import sklearn as sk from sklearn.preprocessing import LabelEncoder import sys import tensorflow as tf # Declares paths # Location where all data is stored DATA_PATH = "/home/accts/gfs22/DiachronicP...
from pyb import SPI, Pin from pyb import delay, millis, elapsed_millis class RadioException(Exception): pass class PacketWaitTimeout(RadioException): pass class SpiCommError(RadioException): pass class PacketOverrunError(RadioException): pass #class ShortPacket(RadioException): # pass #class Bad...
import os import shutil import datetime import random from pathlib import Path from midiutil import MIDIFile class FileHandler(object): """ Note Notation: List of lists of lists, each inner-most list in the form (Midi Note Number, Duration as 'beat'). The next inner-most lists are considered 'NoteUn...
# version 21 --- <NAME> # level 1 """ Provide useful functions dealing with lists and strings. If a function ends with "I", it returns an iterator, "D" for dictionary, and "L" for list. """ import re def toList(qvar): """ Make qvar a list if not...
# -*- coding: utf-8 -*- # author: <NAME> (16 Jan 2019) # <NAME>, <NAME>, <NAME>, "Scalable Learning with a # Structural Recurrent Neural Network for Short-Term Traffic Prediction", \ # IEEE Sensors Journal, Aug 2019 # main script import argparse import os import time import torch from torch.autograd ...
#! /usr/bin/env python # -*- coding: utf-8 -*- """ MIT License Copyright (c) 2020-2021 sistemicorp 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 limitatio...
from unicodedata import category import numpy as np # import matplotlib.pyplot as plt import os # import sys # import torch import torchvision.transforms as transforms import cv2 # sys.path.append(os.path.abspath(".")) # import pclpyd as pcl import random import os import torch.optim as optim # from visualizer.OpencvVi...
# -*- coding: utf-8 -*- # # Copyright 2019 Klimaat import os import time import numpy as np import calendar import shutil import requests from email.utils import parsedate_tz, mktime_tz from urllib.parse import urlencode from rnlyss.dataset import Dataset from rnlyss.grid import Grid from rnlyss.util import syslog_el...
# -*- coding: utf-8 -*- """ Created on Wed Oct 21 16:29:34 2020 @author: <NAME> """ #%% from .platooning_energy import Car import gym from gym import spaces import numpy as np import matplotlib.pyplot as plt #%% class PlatoonEnv(gym.Env): def __init__(self, sim_length_max = 200, difficulty = 1, rewards = ...
import sys sys.path.append('../') import pytest import spacexpython from spacexpython.exceptions import * from spacexpython.utils import * from .tutils import * import subprocess from time import gmtime, strftime from datetime import timedelta, datetime # Conversion factors: # Kilometers to Miles # Astronomical Units ...
import time import pyautogui import sys from imagesearch import * from datetime import datetime import os import random import logging import cv2 import numpy as np import pytesseract pytesseract.pytesseract.tesseract_cmd = r'.\hello tess\tesseract.exe' #----- DEBUG METHODS -------- def quizSearch(image_directo...
from typing import Any import numpy as np import numpy.linalg as la import scipy, scipy.integrate from PIL import Image as PILImage import argparse import os import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import scipy.interpolate import json from functools import reduce from deepracing.path_uti...
import re import collections import random import os.path from _config_parser import _return_configs from _config_parser import _return_single_config from _config_parser import ConfigError file_directory = os.path.dirname(os.path.realpath(__file__)) ### Templates for aggregation #### TEMPlATE_AGGREGATION = """ {{cre...
import _pickle as pickle import argparse import math import os import random import sys import time from pprint import pprint import matplotlib.pyplot as plt import numpy as np import torch import yaml from sklearn.metrics import accuracy_score as accuracy from sklearn.metrics import f1_score as f1 from sklearn.metric...
import os import sys import torch import torchvision import argparse import torch.utils.data as Data from PIL import Image import models.networks as nets import torchvision.utils as vutils import os.path as osp import numpy as np import cv2 from modules.keypoint_detector_heatmap import KPDetector from util import visu...
from os import path import shutil import time import datetime import numpy as np import pandas as pd from sklearn.utils.class_weight import compute_class_weight import torch import torch.nn as nn from torch.utils.data import TensorDataset, random_split, DataLoader, RandomSampler, SequentialSampler import transformers ...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ """ # | - Import Modules import os import re import numpy as np import pandas as pd from pathlib import Path import matplotlib.pyplot as plt # __| class PDOS_Plotting(): """ """ # | - PDOS_Plotting *********************************** def __ini...
# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-BASE 蓝鲸基础平台 is licensed under the MIT License. License for BK-BASE 蓝鲸基础平台: ---------------------------------------------...
from __future__ import print_function from __future__ import division import os import sys import time import datetime import argparse import os.path as osp import numpy as np import torch import torch.nn as nn import torch.backends.cudnn as cudnn from torch.utils.data import DataLoader from torch.optim import lr_sch...
import builtins import importlib import inspect import io import linecache import os.path import types from pathlib import Path from typing import Any, BinaryIO, Callable, Dict, List, Optional, Union from weakref import WeakValueDictionary import torch from torch.serialization import _get_restore_location, _maybe_deco...
''' MFEM Example 18 - Serial/Parallel Shared Code This is a python translation of ex18.hpp note: following variabls are set from ex18 or ex18p problem num_equation max_char_speed specific_heat_ratio; gas_constant; ''' import numpy as np from mfem import mfem_m...
import os import numpy as np from sklearn.impute import SimpleImputer from sklearn.metrics import f1_score from sklearn.model_selection import cross_val_predict from sklearn.preprocessing import StandardScaler from sklearn.metrics import confusion_matrix from tpot.export_utils import generate_pipeline_code, expr_to_tre...
import numpy as np from scipy.optimize import minimize import math def isRotationMatrix(R: np.array): tag = False I = np.identity(R.shape[0]) if np.all(np.matmul(R, R.T) - I < 1e-6) and np.linalg.det(R) - 1 < 1e-6: tag = True return tag class W300(): def W300_GetInitGuess(self, l_vec,...
# Copyright 2017 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...
''' R2R-style dataset ''' import os import json import jsonlines import numpy as np import h5py import math import networkx as nx def angle_feature(heading, elevation, angle_feat_size): return np.array([math.sin(heading), math.cos(heading), math.sin(elevation), math.cos(elevation)] * (angle_...
"""Core definition of a VASP task document.""" import logging import re from collections import OrderedDict from pathlib import Path from typing import Any, Dict, List, Optional, Tuple, Type, TypeVar, Union import numpy as np from monty.serialization import loadfn from pydantic import BaseModel, Field from pymatgen.an...
import numpy as np import tensorflow as tf from numbers import Number import gym import time from spinup.algos.sac1 import core from spinup.algos.sac1.core import get_vars from spinup.utils.logx import EpochLogger class ReplayBuffer: """ A simple FIFO experience replay buffer for SAC agents. """ def ...
# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import itertools import json import logging import os from argparse import Namespace import numpy as np from fairseq import metrics, options,...
from __future__ import unicode_literals from django.test import TestCase from django.db import connections from django.test import tag import time from django_postgres_extensions.models.functions import ArrayAppend, ArrayCat from .models import Traditional, NumberArray, NumberTraditional, Array @tag('benchmark') class...
# -*- coding: utf-8 -*- # This tool exports a Nipype interface in the Boutiques # (https://github.com/boutiques) JSON format. Boutiques tools # can be imported in CBRAIN (https://github.com/aces/cbrain) # among other platforms. # # Limitations: # * Optional outputs, i.e. outputs that not always produced, may not be ...
from __future__ import absolute_import, division, print_function from scitbx.array_family import flex from libtbx import group_args from libtbx.utils import user_plus_sys_time from mmtbx.refinement.real_space import individual_sites, flipbase import mmtbx import iotbx from libtbx.test_utils import approx_equal from six...
# geodata/join_goes_merra2.py # Read GOES and MERRA-2 files, spatiotemporally join bands 3, 4, and 5 with TPQ. Write to hdf5 if requested. import h5py as h5 from netCDF4 import Dataset import numpy as np import pystare as ps import json from sortedcontainers import SortedDict, SortedList import geodata as gd try: ...
#! /usr/bin/env python3 """ Sherlock: Find Usernames Across Social Networks Module This module contains the main logic to search for usernames at social networks. """ import csv import os import platform import re import sys from argparse import ArgumentParser, RawDescriptionHelpFormatter from time import monotonic ...
import requests import os import logging import pylast as pyl from typing import List, Tuple, Optional, Dict, Union, Set, Generator from yaml import safe_load from fuzzywuzzy.fuzz import UWRatio from fuzzywuzzy.process import extractOne from .configuration import config from .state import GenreDataState log = loggin...
import math from enum import Enum import cv2 cv2.ocl.setUseOpenCL(False) import numpy as np THRESHOLD_FACTOR = 6 ROTATION_PATTERNS = [ [1, 2, 3, 4, 5, 6, 7, 8, 9], [4, 1, 2, 7, 5, 3, 8, 9, 6], [7, 4, 1, 8, 5, 2, 9, 6, 3], [8, 7, 4, 9, 5, 1, 6, 3, 2], [...
''' PRÁCTICA 3 Clasificación <NAME> ''' ############################# ####### BIBLIOTECAS ####### ############################# # Biblioteca lectura de datos # ========================== import pandas as pd # matemáticas # ========================== import numpy as np # Modelos lineales a usar # ============...
""" This file contains all image database (imdb) functionality, such as loading and reading information from a dataset. Generally, this file is meant to read in a dataset from disk into a simple custom format for the detetive framework. """ # ----------------------------------------- # modules # ---------------------...
from prompt_toolkit.application.current import get_app from prompt_toolkit.layout import DynamicContainer, HorizontalAlign, HSplit, ScrollablePane, VSplit from prompt_toolkit.widgets.base import Button from prompt_toolkit.widgets.toolbars import ValidationToolbar from pepys_admin.maintenance.widgets.custom_text_area i...
# Copyright 2010 <NAME> # Copyright 2011 OpenStack Foundation # Copyright 2012 Grid Dynamics # Copyright 2013 OpenStack Foundation # 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 cop...
from __future__ import print_function import datetime import calendar import requests import collections import os import json import argparse import logging try: # Python 3 import http.client as http_client except ImportError: # Python 2 import httplib as http_client if os.environ.get("DEBUG", "0") !=...
import os import pprint import pytest import time import logging import tech_support_cmds as cmds from random import randint from tests.common.helpers.assertions import pytest_assert, pytest_require from tests.common.plugins.loganalyzer.loganalyzer import LogAnalyzer, LogAnalyzerError from tests.common.utilities impo...
from pyflamegpu import * import sys, random, math """ FLAME GPU 2 implementation of the Boids model, using spatial3D messaging. This is based on the FLAME GPU 1 implementation, but with dynamic generation of agents. Agents are also clamped to be within the environment bounds, rather than wrapped as in FLAME GPU...
""" The MIT License (MIT) Copyright (c) 2015-present Rapptz 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, merg...
""" Author: Wudi """ import hashlib import hmac import sys import time import uuid from copy import copy from datetime import datetime, timedelta from urllib.parse import urlencode from typing import Dict import pytz import requests from vnpy.api.rest import Request, RestClient, RequestStatus from vnpy.api.websocket...
# Copyright 2018 Orange # # 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 t...