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import machine, time, logging
import uasyncio as asyncio
from esp32_adccal import ADCCal
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
class Anemo:
"""
Anemo implements functions to determine average wind speed and gust speed as measured by an
anemometer attached to a pulse counter input ... |
from typing import List, Optional
from .tokenize import TokenKind, Tokenizer, Token
from .ast import *
from . import LimeError
def text_position_of_token(tok: Token) -> TextPosition:
return TextPosition(
tok.line,
tok.col,
tok.col + len(tok.value)
)
class Parser:
tk: Tokenizer
... |
import pytest
from django.urls import reverse
from django.utils import timezone
from rest_framework.status import (
HTTP_401_UNAUTHORIZED, HTTP_403_FORBIDDEN, HTTP_405_METHOD_NOT_ALLOWED)
from ..utils import ALL_METHODS, check_method_status_codes
list_url = reverse('monitoring:v1:valid_parking-list')
def detail... |
from django.template.loader import render_to_string
from django.conf import settings
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger, Page, InvalidPage
from rest_framework import pagination
from collections import OrderedDict
from rest_framework.response import Response
from rest_framework.exce... |
import numpy as np
from ..cluster import cluster
import time
class Options():
def __init__(self):
self.max_iter = 0 # maximum number of iterations
self.max_error = -np.inf # maximum allowed error
self.limit_space = True # optional coordinate bound control
self.sp... |
#!/usr/bin/env python3
import pandas as pd
import json
import sys
track1_zoom_url = ''
track2_zoom_url = ''
remo_url_day_1 = ''
remo_url_day_2 = ''
remo_url_day_3 = ''
remo_url_social_night = ''
slack_url = ''
remo_pre_url_1 = ''
remo_pre_url_2 = ''
remo_pre_url_3 = ''
session_slacks = {
'Plant Genomics':'',
'Metagen... |
""" Runs the trajectory solver on RMS JSON files. """
import os
import sys
import glob
import json
import argparse
import numpy as np
from wmpl.Formats.CAMS import MeteorObservation, prepareObservations
from wmpl.Formats.GenericArgumentParser import addSolverOptions
from wmpl.Trajectory.Trajectory import Trajectory... |
'''
Version: 0419
Utility Maximizing Learning Plan Simulations
# Brute force, Greedy, ILP Solver
# Support Additive cost function
'''
import networkx as nx
import numpy as np
import random,copy, time, json, os, argparse, csv, datetime
from gurobipy import *
from UMLP_solver import *
import utils
# INPUT desc... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright 2020 Huawei Technologies Co., Ltd
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 requir... |
# Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# 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... |
#
# -*- coding: utf-8 -*-
# Copyright 2019 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# utils
from __future__ import absolute_import, division, print_function
__metaclass__ = type
from ansible.module_utils.six import iteritems
from ansible.module_utils.netw... |
"""
Scrub PII from your data
"""
# pylint: disable=invalid-name
# pylint: disable=c-extension-no-member
from typing import Dict, Union
from numbers import Number
import dateutil.parser
import rapidjson
REDACTED = "redacted"
SCRUB_CSDS_PII_CHANNEL_INSTRUCTIONS = [
{"channel": "player_name"},
{"channel": "head... |
import re
import json
import logging
from .base import Filter
from ..models import GroupVersionKind
log = logging.getLogger(__name__)
readonly_re = re.compile(r'read[ -]only', re.I)
default_re = re.compile(r'defaults?\s+(?:to|\w+\s+is)\s+[\'"`]?([^"\'`\s\.\,\(]+)[\'"`]?[\,\.\s\(]', re.I)
true_re = re.compile(r'true|y... |
import os
import datetime
import redis
import requests
from flask import current_app
from nomics import Nomics
from rq import Queue, Worker, Connection
from project.server.main.utils.formatter import strfdelta
basedir = os.path.abspath(os.path.dirname(__file__))
def os_get(var):
return os.environ.get(var)
de... |
import requests
import sys
from cmd import Cmd
from time import sleep
PIECE_NAME = {
3: 'bishop',
5: 'king',
7: 'knight',
9: 'pawn',
11: 'queen',
13: 'rook',
}
PROMPT = '> '
BRIGHT_GREEN = '\u001b[42;1m'
RESET = '\u001b[0m'
SELECTED_PIECE = f'{ BRIGHT_GREEN }{{}}{ RESET }'
TOP_BOARD_OUTPUT_SHE... |
from sklearn.metrics import coverage_error, accuracy_score
from sklearn.metrics import label_ranking_loss
from sklearn.metrics import label_ranking_average_precision_score
from sklearn.metrics import hamming_loss
from sklearn import metrics
from collections import Counter
import math
import numpy as np
def patk(predi... |
import os
import logging
import json
import io
import time
from collections import OrderedDict
import jinja2
from homeassistant.util.yaml import loader
from homeassistant.exceptions import HomeAssistantError
_LOGGER = logging.getLogger(__name__)
def fromjson(value):
return json.loads(value)
jinja = jinja2.Envi... |
#!/usr/bin/env python3
from test_framework.test_framework import BitcoinTestFramework
from test_framework.messages import (
COIN,
COutPoint,
CTransaction,
CTxIn,
CTxOut,
ToHex,
FromHex)
from test_framework.script import (
CScript,
hash160,
OP_EQUAL,
OP_HASH160,
OP_TRUE,
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of ObjectPath released under MIT license.
# Copyright (C) 2008-2010 <NAME>
import datetime
import sys, os
try:
import pytz
TIMEZONE_CACHE = {"UTC": pytz.utc}
except ImportError:
pass
from objectpath.core import STR_TYPES
HOURS_IN_DAY = 24
now ... |
import matplotlib.pyplot as plt
from abc import ABCMeta, abstractmethod, abstractproperty
def plot_attributes(mrs, file_name):
colors = ['red', 'blue', 'orange', 'green', 'yellow', 'black']
labels = ['mr_ref', 'mr_1', 'mr_2', 'mr_3', 'mr_4', 'mr_5']
markersizes = [8, 6, 4, 2, 1, 0.5]
lc = len(colors)
... |
#!/usr/bin/env python
from builtins import str
from builtins import range
import os
import unittest
from io import StringIO
import configparser
from pyidr.screenio import ScreenWriter, ScreenReader, ScreenError
class TestScreenIO(unittest.TestCase):
def setUp(self, screen_name=None):
self.name, self.ro... |
# encoding: utf-8
from __future__ import absolute_import, unicode_literals
import io
from mopidy.m3u import translator
from mopidy.models import Playlist, Ref, Track
def loads(s, basedir=b'.'):
return translator.load_items(io.StringIO(s), basedir=basedir)
def dumps(items):
fp = io.StringIO()
translat... |
# coding=utf-8
# Copyright 2021 The Mesh TensorFlow Authors.
#
# 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 applicab... |
"""This script generates REP-0132 CHANGELOG.rst files for git or hg repositories."""
from __future__ import print_function
import argparse
import logging
import os
import sys
from catkin_pkg.changelog import CHANGELOG_FILENAME
from catkin_pkg.changelog_generator import generate_changelog_file, generate_changelogs, g... |
import random
import operator
import numpy as np
from copy import deepcopy
class point:
def __init__(self,listLine):
self.feature = listLine
self.label = None
class label:
def __init__(self,listLine):
self.feature = listLine
self.cluster = []
# 載入data
filenamme = '/... |
import time
import math
import threading
from collections import namedtuple
import cv2
import numpy as np
from scipy.stats import linregress
from camera import Camera
from detect_image import RFBNetDetector
from uart import Uart
class Memory():
def __init__(self, max_size=3):
self.max_size = max_size
... |
import torch
from torch import nn
import torch.nn.functional as F
import numpy as np
from collections import OrderedDict
activations = {
'NON': lambda x: x,
'TANH': torch.tanh,
'SIGMOID': F.sigmoid,
'RELU': F.relu,
'ELU': F.elu,
}
class Linear(nn.Linear):
def __init__(self, *args, **kwargs):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
from torchtext import data
from torchtext.datasets import SequenceTaggingDataset, CoNLL2000Chunking
from torchtext.vocab import Vectors, GloVe, CharNGram
import numpy as np
import random
import lo... |
import ast
def append(li, item):
if item in li:
return
li.append(item)
class CodeVisitor(ast.NodeVisitor):
def __init__(self):
self.methodName = []
self.nodeType = ""
self.apiSequence = []
self.tokens = []
self.classInstance = {}
self.classLevel =... |
# -*- coding: UTF-8 -*-
"""
@author: hichenway
@知乎: 海晨威
@contact: <EMAIL>
@time: 2020/5/9 17:00
@license: Apache
tensorflow 模型
"""
import tensorflow as tf
import numpy as np
tf.logging.set_verbosity(tf.logging.ERROR)
class Model:
def __init__(self, config):
self.config = config
self.placeholders(... |
# IMPORTS
import pandas as pd
import math
import os.path
import time
from bitmex import bitmex
import matplotlib.pyplot as plt
import numpy as np
import tulipy as ti
# from binance.client import Client
from datetime import timedelta, datetime
from dateutil import parser
from dateutil.tz import tzutc
from finta import ... |
# -*- coding: utf-8 -*-
"""Utilities for Bio2BEL."""
import hashlib
import logging
import os
import pathlib
import shutil
import types
from typing import Iterable, Mapping, Optional, Tuple
from urllib.parse import urlparse
from urllib.request import urlretrieve
import requests
from pkg_resources import UnknownExtra,... |
from types import MemberDescriptorType
from .._operators import OP_NAMES, UNARY, BINARY, COMPARISON
from ..functions import call
ZOMBIE_CLASSES = {}
UNARY_METHODS = [OP_NAMES[op] for op in UNARY]
UNARY_METHODS.extend(["iter"])
BINARY_METHODS = [OP_NAMES[op].rstrip("_") for op in COMPARISON + BINARY]
RBINARY_METHODS =... |
import click
import logging
import zmq
import socket
import urllib.parse
import contextlib
import time
import attr
import sys
import os
import psutil
@contextlib.contextmanager
def ioloop(context, *sockets):
"""Render a running IOLoop"""
from zeeko.cyloop.loop import DebugIOLoop
loop = DebugIOLoop(contex... |
#########################################################
# 2021-08-08 14:21:32
# AI
# test programming ROM function
# this test code are only suit for the simulator,
# the real hardware has timing constraints.
#########################################################
import random
from .. import testutil as u
from .... |
import os, datetime
from bs4.element import ResultSet
basedir = os.path.dirname(__file__)
category_urls = [
]
categories_filepath = os.path.join(basedir, 'categories.txt')
with open(categories_filepath, 'r+') as f:
category_urls = [ line.strip() for line in f.readlines() ]
# Enter the products that could ... |
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import mplhep as hep
from matplotlib.ticker import AutoMinorLocator
#======================================================================================================================
def start():
"""
Define initial setup to be used in t... |
import argparse
import glob
import os
import shutil
import PerformanceAnalyser as perfAnalyser
import DatasetGenerator
import Evaluator
import pwd
HADOOP_PROJECT_MAIN = "/user/" + pwd.getpwuid(os.getuid())[0] + "/project"
HADOOP_PROJECT_PATH_OUTPUT_SUBFOLDER = "/ratio_vol_td"
HADOOP_PROJECT_PATH_INPUT = HADOOP_PROJECT... |
import sys
import re
import json
import datetime
class TaskFormatter:
def __init__(self, indention='\t', time_format='{hours}:{minutes:02}'):
self.indention = indention
self.time_format = time_format
def format_task_list(self, task_list, indention_level=0):
list_string = ''
f... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import time
from datetime import datetime, timedelta
from os import path
from typing import List, Dict
import requests
from jinja2 import Template
def list_jobs(jenkins_url, jenkins_user, jenkins_token) -> List[Dict]:
resp = requests.get(f'{jenkins_u... |
from __future__ import annotations
import os
import traceback
from pathlib import Path
from subprocess import CalledProcessError
from typing import Callable, Dict, List, Optional
from colorama import Style
from cache import make_cache_store
from common.hash_utils import HashState
from common.shell_utils import sh as... |
# -*- coding: utf-8 -*-
from __future__ import print_function, unicode_literals, absolute_import, division
from six.moves import range, zip, map, reduce, filter
from six import string_types
import numpy as np
try:
from tifffile import imwrite as imsave
except ImportError:
from tifffile import imsave
import war... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import cv2
from PIL import Image
import matplotlib.pyplot as plt
def disp2distribute(disp_gt, max_disp, b=2):
disp_gt = disp_gt.unsqueeze(1)
disp_range = torch.arange(0, max_disp).view(1, -1, 1, 1).float().cuda()
gt_dist... |
#! /usr/bin/env python3
from html.parser import HTMLParser
import re
import itertools
class html_parser(HTMLParser):
"""Returns a list of paragraphs
options= get_meta, get_img_meta"""
#parser options
parser_options = {'get_meta':True, 'get_img_meta':False}
get_meta = parser_options['get_meta']
... |
from optimism.JaxConfig import *
import optimism.EquationSolver as EqSolver
from optimism.NewtonSolver import globalized_newton_step
from optimism.NewtonSolver import newton_step
from optimism import WarmStart
Settings = namedtuple('Settings',
['penalty_scaling',
'target_co... |
import math
import json
import random
import numpy as np
import multiprocessing
NUM_CENTROIDS = 256
def segregate(attributearray, value):
outlist = []
for i in range(0, len(attributearray)):
if(attributearray[i] == value):
outlist.append(i)
return outlist
def select_labels(labels, ids... |
import dolfin as df
from ufl import grad as ufl_grad
import pulse
from perspect.porousproblem import PorousProblem
from perspect.lagrangian_particles import LagrangianParticles, RandomSphere,\
RandomCircle, ParticlesFromPoint
def get_mechanics_geometry(geometry):
retu... |
"""
Module to compute truth catalog values for lensed hosts in DC2 Run3.0i.
"""
import os
import sys
import glob
from collections import defaultdict
import logging
import sqlite3
from astropy.io import fits
import pandas as pd
from lsst.sims.photUtils import PhotometricParameters
from .synthetic_photometry import find_... |
import os
import json
import sys
import io
import fileinput
import string
import urllib #required to open html documents
import urllib2 #required in python 2.7
import re #required to remove html tags vie regex
import codecs #required to open html files
import nltk #requires python 3.5 or python 2.7 to install... |
"""
CountModel class for dispatching different types of count models and different
types of estimation technqiues.
"""
__author__ = "<NAME> <EMAIL>"
import numpy as np
from spglm.glm import GLM
from spglm.family import Poisson, QuasiPoisson
class CountModel(object):
"""
Base class for variety of count-based... |
#! /usr/bin/env python3
import os
import queue
import argparse
import json
import sys
import subprocess
import avocadoslack
import multiprocessing
import graphs
from shared import output_file_name, replace_type
from threading import Thread, Event
from typing import List, Dict, Tuple
from string import Template
genera... |
#!/usr/bin/env python3
"""Get BGP neighbours from network devices for PDB."""
import os
import sys
import pprint
import json
import ipaddress
import click
from napalm import get_network_driver
pp = pprint.PrettyPrinter(indent=2, width=120)
prog_args = {}
def parse_neighbours(neighbours):
"""Parse the bgp neig... |
import json
import flask
from flask_cors import (
cross_origin
)
from flask import (
Flask,
request
)
import logging
from http.client import responses
from flask.logging import default_handler
from .external_api.auth import (
get_auth_token,
validate_service_token,
validate_user_token,
is_fe... |
# Copyright (c) 2014-2021, <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 of conditions and the ... |
# Generate the Cython wrapping file.
# Imports
# -------------------------------------------------------------------------------------------------
from functools import lru_cache
import json
from pathlib import Path
import os
from pprint import pprint
import re
import sys
from textwrap import indent
from tqdm import... |
"""
Bitcoin Abuse Integration for Cortex XSOAR - Unit Tests file
"""
import io
import pytest
from BitcoinAbuse import BitcoinAbuseClient, bitcoin_abuse_report_address_command, bitcoin_abuse_get_indicators_command, \
update_indicator_occurrences, READER_CONFIG
from CommonServerPython import DemistoException, Dict... |
# Copyright (C) 2020 GreenWaves Technologies, SAS
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This program... |
#
# For licensing see accompanying LICENSE file.
# Copyright (C) 2022 Apple Inc. All Rights Reserved.
#
import os
import importlib
import argparse
from utils import logger
from utils.common_utils import check_frozen_norm_layer
from utils.ddp_utils import is_master, is_start_rank_node
from utils.download_utils import ... |
"""Macros for defining static website content."""
_WEB_DIR = "web"
def erb_file(name, srcs, out, bootstrap=False, main_template='default'):
"""Renders a collection of eRuby templates to an output file.
See the //webgen:erb tool for documentation on template syntax.
Args:
name: rule name.
src... |
import numpy as np
from PIL import Image, ImageDraw
from .colors import *
def colorize_class_preds(class_maps, no_classes):
# class maps are level-batch-class-H-W
np_arrays = []
for lvl in class_maps:
lvl = map_color_values(lvl, no_classes, True)
np_arrays.append(lvl)
return np_arrays... |
import copy
from unittest import mock
import matplotlib
from matplotlib import pyplot as plt
from matplotlib._pylab_helpers import Gcf
import pytest
@pytest.fixture(autouse=True)
def mpl_test_settings(qt5_module, mpl_test_settings):
"""
Ensure qt5_module fixture is *first* fixture.
We override the `mpl... |
import time
import json
import logging
import logging.config
import sys
import os
sys.path.append(os.path.dirname(__file__))
from dagflow.event_center.base_request_filter import RequestFilter, RequestFilterStatus, auto_load_filter
from dagflow.flow_operation import start_flow, continue_flow, specify_step_to_run
from d... |
#!/usr/bin/env python
import os
import pickle
import argparse
import numpy as np
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
import deepclean_prod as dc
import deepclean_prod.config as config
# Default tensor type
torch.set_default_tensor_type(torch.FloatTensor)
# Use GPU if a... |
import json
from transformers import *
import torch
from torch.utils.data import Dataset
import numpy as np
import copy
SPECIAL_TOKENS = ['[BOS]', '[EOS]', '[speaker1]', '[speaker2]', '[IMG]', '[TAG]', '[PAD]']
SPECIAL_TOKENS_DICT = {'bos_token':'[BOS]', 'eos_token':'[EOS]', 'additional_special_tokens':['[spea... |
import argparse
import random
import socket
import time
import typing
from urllib.parse import urlparse
import requests
from pyfiglet import Figlet
from termcolor import colored
from errors import FetchedError
# URL for fetching relays
onion_url = (
"https://onionoo.torproject.org/details?type=relay"
"&runni... |
# Copyright (c) 2009-2022 The Regents of the University of Michigan.
# Part of HOOMD-blue, released under the BSD 3-Clause License.
"""Apply external fields to HPMC simulations."""
from hoomd.data.parameterdicts import ParameterDict
from hoomd.data.typeconverter import NDArrayValidator
from hoomd.hpmc import _hpmc
fr... |
# imports
from phue import Bridge
from subprocess import call
import speech_recognition as sr
import serial
import requests
import json
class LightOrchestrator:
def __init__(self):
self.bridge = Bridge('192.168.0.186')
self.bridge.connect()
self.light_objs = self.bri... |
# Copyright 2019 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.
"""Base models for a luci build.
Data models are prefixed by 'Luci' to indicate that Findit is supporting Luci
builds. And also to differentiate from the dat... |
# -*- coding: utf-8 -*-
# Time : 2022/1/16 0:27
# Author : QIN2DIM
# Github : https://github.com/QIN2DIM
# Description:
import os.path
import shutil
import sys
from datetime import datetime
from typing import List, Union, Dict, Optional
import colorama
import yaml
from loguru import logger
from selenium.... |
#! /usr/bin/env python
"""
Script to go through all the VOA sites and get sitemaps and extract
from them additional sitemaps.
"""
import gzip
import os
import re
import shutil
from argparse import ArgumentParser
from os.path import basename
from typing import List, Optional, Generator, Iterable, Dict
from urllib import... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : MeUtils.
# @File : common
# @Time : 2020/11/12 11:42 上午
# @Author : yuanjie
# @Email : <EMAIL>
# @Software : PyCharm
# @Description : 单向引用，避免循环引用
import os
import gc
import re
import sys
import time
from abc import abstr... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: DI<EMAIL>
@mail: <EMAIL>
Created on Sun Jan 12 17:06:39 2020
"""
import boxx
from boxx import *
from boxx import os, setTimeout, mapmt, timegap, sleep, pathjoin
import random
import glob
from bs4 import BeautifulSoup
import requests
import urllib.parse as ur... |
import curses
import curses.textpad
import time, random
from curses import wrapper
stdscr = curses.initscr()
curses.noecho()
curses.cbreak()
stdscr.keypad(1)
curses.curs_set(0)
# colors:
color_separator = '.'
color_closed = curses.ACS_CKBOARD
color_empty = ' '
color_bomb = 'X'
color_flag = 'F'
# states:
state_playin... |
import json
class Stack:
def __init__(self):
self.stack_items = []
def append(self, stack_item):
self.stack_items.append(stack_item)
return self
def __repr__(self):
stack_dump = ''
for item in self.stack_items:
stack_dump += str(item)
return st... |
import math, torch
from src.adversarial_base import AdversarialBase
from src.optimizer.evolve import SingleGenOptimization
from heapq import *
sign = lambda x: 0.0 if x == 0.0 else math.copysign(1, x)
class HeapItem:
def __init__(self, score, eps):
self.score = score
self.eps = eps
def __lt_... |
# -*- mode: python; encoding: utf-8 -*-
#
# Copyright 2014 the Critic contributors, Opera Software ASA
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LI... |
# coding=utf-8
from __future__ import print_function
import numpy as np
import tensorrt as trt
import pycuda.driver as cuda
import pycuda.autoinit
from PIL import ImageDraw
import cv2
import math
import sys, os
import common
def load_engine(trt_runtime, plan_path):
with open(engine_path, 'rb') as f:
engi... |
#----------------------------------------------------------------------------#
# Imports
#----------------------------------------------------------------------------#
from flask import Flask, render_template, request, flash, redirect, url_for
from werkzeug.utils import secure_filename
# from flask.ext.sqlalchemy impo... |
import eel
import os
import uuid
import sys
memes = []
dir_path = os.path.dirname(os.path.realpath(__file__))
dir_path = dir_path + '\web'
x = list(os.walk(dir_path))
for file in x[0][2]:
if (file.endswith('.jpg') or file.endswith('.png') or file.endswith('.jpeg')) and (file != 'previousArrow.jpg' and file != 'nex... |
# -*- coding: utf-8 -*-
from irc3.plugins.command import command
import irc3
import json
__doc__ = '''
==============================================
:mod:`irc3.plugins.social` Social networking
==============================================
Add ``tweet`` and ``retweet`` commands.
Extend the bot with ``.get_social_co... |
import settings
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import numpy as np
import torchvision
from torchvision import datasets, models, transforms
import matplotlib.pyplot as plt
import time
import copy
import os
import cv2
import random
import argparse
import... |
#!/usr/bin/python
import string
import sys
import tempfile
class LevelData:
def __init__(self, numblocks, assoc, write_policy):
self.numblocks = numblocks
self.assoc = assoc
self.write_policy = write_policy
def die(msg):
print(msg, file=sys.stderr)
sys.exit(1)
def xml_header():
... |
__source__ = 'https://leetcode.com/problems/maximal-square/'
# https://github.com/kamyu104/LeetCode/blob/master/Python/maximal-square.py
# Time: O(n^2)
# Space: O(n)
#
# Description: Leetcode # 221. Maximal Square
#
# Given a 2D binary matrix filled with 0's and 1's,
# find the largest square containing all 1's and re... |
"""
Utility for running YARA within the context of a disassembly.
This utility extends and overwrites the existing YARA API to work correctly within a dragodis context.
usage::
from rugosa import yara
# Compile a yara rule in the same way as the original yara library.
rule = yara.compile(source=rule_text... |
######################################################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... |
################################################################################################################
# Authors: #
# <NAME> (<EMAIL>) ... |
from abc import ABC
from bs4 import BeautifulSoup
import json
import requests
class BaseHelper(ABC):
"""
An abstract class that can be derived to define a helper,
a piece of code that can grab arbitrary data from websites.
"""
target_url = None
def __init__(self, target_url):
self.t... |
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/home/h4ckfu/Code/test/TheGANs/MNIST_data/", one_hot=True)
################### All your functions are belong... ##########################
# http://... |
"""toil_container containers tests."""
from multiprocessing import Process
from os.path import join
import getpass
import os
import docker
import pytest
from toil_container import __version__
from toil_container import exceptions
from toil_container.containers import _TMP_PREFIX
from toil_container.containers import... |
from dataclasses import dataclass
from decimal import Decimal
from typing import List, Literal, Optional, TypedDict
from exapi.typedefs.binance import OCOOrderStatus, OCOStatus, OrderContingencyType, OrderExecutionType, OrderSide, \
OrderStatus, \
OrderType, \
TimeInForce
class BinanceSocketSpotExecution... |
import numpy as np
from scipy.optimize import least_squares
from scipy.integrate import odeint
def sol_u(t, u0, alpha, beta):
return u0 * np.exp(-beta * t) + alpha / beta * (1 - np.exp(-beta * t))
def sol_s(t, s0, u0, alpha, beta, gamma):
exp_gt = np.exp(-gamma * t)
if beta == gamma:
s = s0 * ex... |
import unittest
from btc_hd_wallet.wallet_utils import Bip, Version, Key, Bip32Path
class TestVersion(unittest.TestCase):
def test_parse(self):
with self.assertRaises(ValueError):
Version.parse(version_int="152110212")
with self.assertRaises(ValueError):
Version.parse(vers... |
'''The SuperText class inherits from Tkinter's Text class and provides added
functionality to a standard text widget:
- Option to turn scrollbar on/off
- Right-click pop-up menu
- Two themes included (terminal and typewriter)
Compliant with Python 2.5-2.7
Author: @ifthisthenbreak
'''
from Tkinter import Tk, Frame, ... |
import os
import cv2
import pandas as pd
import numpy as np
import paddle
import paddle.nn as nn
import paddle.nn.functional as F
import random
from network.shrnet import SHR
from dataset.CVSIdata import loaders_default
import argparse
def accuracy(dataloaders, net, num_classes, disp=False):
net.ev... |
"""BRACS Dataset loader."""
import os
import h5py
import torch.utils.data
import numpy as np
from dgl.data.utils import load_graphs
from torch.utils.data import Dataset
from glob import glob
import dgl
from histocartography.utils import set_graph_on_cuda
IS_CUDA = torch.cuda.is_available()
DEVICE = 'cuda:0' if IS_... |
import os
import csv
import random
import itertools
import PySide2.QtWidgets as qtw
from embr_survey.common_widgets import JustText
from pip._vendor import pytoml as toml
from pkg_resources import resource_filename
from PySide2.QtCore import Qt
from PySide2.QtGui import QPixmap
from embr_survey.common_widgets import Ju... |
"""
network.py
Provides different network models.
"""
import numpy as np
np.random.seed(1337)
from keras.callbacks import Callback
from keras.models import Sequential, Model
from keras.layers import Activation, Dense, Dropout, Merge, Reshape, Input, merge
from keras.layers import Convolution2D, MaxPooling2D
from kera... |
import json
import asyncio
import posixpath
from typing import Tuple, List, Any
import logging
import aiohttp
import sentry_sdk # type: ignore
from sentry_sdk.integrations.aiohttp import AioHttpIntegration # type: ignore
from quart import (
Quart,
jsonify,
request,
Response,
Bluepri... |
# -*- coding: utf-8 -*-
from SuperGLU.Util.Serialization import SuperGlu_Serializable
from SuperGLU.Core.MessagingGateway import BaseService
from SuperGLU.Core.Messaging import Message
from SuperGLU.Core.MessagingDB import DBLoggedMessage, KC_SCORE_VERB, USER_ID_CONTEXT_KEY, TASK_ID_CONTEXT_KEY, TASK_HINT_VERB, TAS... |
# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use ... |
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