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<filename>modules/m_etc.py<gh_stars>1-10 import psutil, base64, os, sys, hashlib, datetime, discord, random from PIL import Image, ImageDraw, ImageFont import configparser import matplotlib.pyplot as plt import numpy as np from datetime import datetime, timedelta if __name__=="__main__": print("FATAL : Run this ...
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# Generated by Django 2.1.15 on 2020-06-24 15:39 from django.db import migrations def forwards(apps, schema_editor): Category = apps.get_model("news", "Category") Category.objects.create(name="Dummy Category", slug="dummy-category") def backwards(apps, schema_editor): Category = apps.get_model("news", ...
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<reponame>fengwanwan/st_analysis #! /usr/bin/env python """ This script performs a supervised prediction in ST datasets using a training set and a test set. The training set will be one or more matrices of with counts (genes as columns and spots as rows) and the test set will be one matrix of counts. One file or fi...
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# Copyright 2013-2018 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class Pngwriter(CMakePackage): """PNGwriter is a very easy to use open source graphics library t...
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<reponame>monishshah18/python-cp-cheatsheet<gh_stars>100-1000 class Solution: def maxProfit(self, prices: List[int]) -> int: t0 = [0] * 3 t1 = [float(-inf)] * 3 for p in prices: for i in range(2,0,-1): t0[i] = max(t0[i], t1[i] + p) t1[i] =...
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<gh_stars>1-10 #!/usr/bin/python3 from pwn import * # Telnet sh = remote("ip", 30888) # SSH: # sh = ssh('user', 'ip', password='<PASSWORD>', port=22) # Exec # process('./exec') # conn.sendlineafter(b"> ", b"1") sh.sendline(b'ls') flag = sh.recvline(timeout=5) log.success(flag) sh.interactive() sh.close()
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<gh_stars>0 # # Copyright (c) 2016 Juniper Networks, Inc. All rights reserved. # import os import docker from sandesh.nodeinfo.cpuinfo.ttypes import ProcessCpuInfo class DockerMemCpuUsageData(object): def __init__(self, _id, last_cpu, last_time): self.last_cpu = last_cpu self.last_time = last_ti...
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import re from data.scrape.link_extractors.create_extractor import create_extractor from data.scrape.utils import clean_url from .constants import ID class Strategy: def __init__(self, url_pattern, template=None, **extractor_args): self.url_pattern = url_pattern.format(ID=ID) self.url_regex = re....
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<filename>app/questionnaire/routing_path.py class RoutingPath: """Holds a list of block_ids and has section_id, list_item_id and list_name attributes""" def __init__(self, block_ids, section_id, list_item_id=None, list_name=None): self.block_ids = tuple(block_ids) self.section_id = section_id ...
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# coding:utf8 from setuptools import setup long_desc = """ easyquotation =============== * easy to use to get stock info in China Stock Installation -------------- pip install easyquotation Upgrade --------------- pip install easyquotation --upgrade Quick Start -------------- :: import easyquotation ...
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<filename>CrySPY/gen_struc/random/with_spg/fw.py #!/usr/bin/env python # -*- coding: utf-8 -*- # -------------------------------------------------------------------------- # # This code partly includes find_wy (https://github.com/nim-hrkn/find_wy) # which is distributed under the Apache License, Version 2.0. # # ------...
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<gh_stars>0 import os import sys import platform import shutil import flopy import pymake # make sure exe extension is used on windows eext = '' soext = '.so' if sys.platform.lower() == 'win32': eext = '.exe' soext = '.dll' binpth, temppth = os.path.join('..', 'bin'), os.path.join('temp') # some flags to che...
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<reponame>JohnGriffiths/dipy # Init file for visualization package from __future__ import division, print_function, absolute_import # We make the visualization requirements optional imports: try: import matplotlib has_mpl = True except ImportError: e_s = "You do not have Matplotlib installed. Some visuali...
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import unittest import torch import alpa.torch.optim as torchoptim import alpa from alpa.torch.trainer import train_torch_module class MyModule(torch.nn.Module): def __init__(self): super().__init__() self.linear1 = torch.nn.Linear(16, 16) self.linear2 = torch.nn.Linear(16, 16) def ...
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from urllib import request from url_helper import HeaderHelper import json import gzip import time import math class Comment: def __init__(self, cid: int, floor_num: int, content: str, uid: int) -> None: # comment id self.cid = cid self.floor_num = floor_num # user id self...
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<reponame>Nathanlauga/transparentai-ui from transparentai import sustainable from os.path import dirname, abspath from ....utils.db import update_in_db, select_from_db from ....utils.errors import get_errors from ....utils import key_in_dict_not_empty, is_empty from ....utils.components import clean_errors, format_str...
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# -*- coding: utf-8 -*- from __future__ import division, absolute_import, print_function from . import dc from .. import __version__, __author__ class xlref(object): def __init__(self,Workbook,Worksheet,Range): """ xlref Creates a XL reference handlers: Params(3): Workbook as ...
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<filename>model.py # Copyright 2019 <NAME> # Licensed under the Apache License, Version 2.0 import tensorflow as tf import numpy as np def gru(units): return tf.keras.layers.GRU(units, return_sequences=True, return_state=True, ...
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<filename>exoral/admin.py from django.contrib import admin from .models import ( Fach, Dozent, Testat, Frage, ) class FachAdmin(admin.ModelAdmin): model = Fach list_display = ('name', 'admin_list_dozent') admin.site.register(Fach, FachAdmin) class DozentAdmin(admin.ModelAdmin): model = Do...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import sys print('y1') def main(filename): raw_data = load_data(filename) # TODO - Clean data print(raw_data[0]) return raw_data def load_data(filename): with open(filename, 'r') as file: raw = file.read() raw_data = frames = raw.split...
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import sys import os sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir, 'textrank')) from summa.preprocessing.textcleaner import get_sentences # Uses textrank's method for extracting sentences. BASELINE_WORD_COUNT = 100 def baseline(text): """ Creates a baseline summary to be ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2017/12/14 15:08 # @Author : glacier # @Site : # @File : tianmao.py # @Software: PyCharm Edu import requests import re if __name__ == '__main__': urls = [] for i in range(400): urls.append("https://rate.tmall.com/li...
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import pygame, sys, pymunk def create_circle(space, pos): body = pymunk.Body(1,100,body_type = pymunk.Body.DYNAMIC) body.position = pos shape = pymunk.Circle(body,80) space.add(body,shape) return shape def draw_circles(circles): for circle in circles: pos_x = int(circle.body.position....
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# Copyright (C) 2018-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from openvino.opset1.ops import absolute from openvino.opset1.ops import absolute as abs from openvino.opset1.ops import acos from openvino.opset4.ops import acosh from openvino.opset1.ops import add from openvino.opset1.ops import asin ...
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import io from abc import ABC from typing import Generator, Any, TypeVar, Iterable, Iterator, Optional from ijson import items as ijson_items from requests import Response class AbcRest(ABC): __slots__ = () _T = TypeVar('_T') def debug_iter(iterable: Iterable[_T], file_name: str) -> Generator[_T, None, None]...
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# -*- coding: utf-8 -*- import pili # 替换成自己 Qiniu 账号的 AccessKey access_key = "..." # 替换成自己 Qiniu 账号的 SecretKey secret_key = "..." domain = '...' hub_name = '...' stream_title = '...' expire = 3600 mac = pili.Mac(access_key, secret_key) client = pili.Client(mac) hub = client.hub(hub_name) stream = hub.get(".....
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from collections import OrderedDict from itertools import product from sympy import Basic from sympy.core.singleton import Singleton from sympy.core.compatibility import with_metaclass from sympy.core.containers import Tuple from sympy import AtomicExpr from sympde.topology import ScalarTestFunction, VectorTestFuncti...
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# -*- coding: utf-8 -*- """API routes config for notifai_recruitment project. REST framework adds support for automatic URL routing to Django, and provides simple, quick and consistent way of wiring view logic to a set of URLs. For more information on this file, see https://www.django-rest-framework.org/api-guide/rou...
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<reponame>foropolo/task from rest_framework import serializers class HelloSerializer(serializers.Serializer): """Serializes a name field for testing out APIView""" city_name = serializers.CharField(max_length=30)
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<gh_stars>0 # Ask the user to enter a word. Have the program keep asking them to # enter one while the user writes "continue" as their word. keyword = "continue" current_word = "" while current_word == keyword: current_word = input("Enter a word: ").strip()
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# File name: __init__.py # Author: <NAME> # Date created: 27-07-2018 # TODO: should I import the entire module, or just the relevant functions? from . import chemical, recipe, make, help
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from typing import List from logging import getLogger import notify logger = getLogger(__name__) class _RegisteredNotifyTaskList(): def __init__(self): self._task_list: List[notify.NotifyTask] = [] def append_task(self, task: notify.NotifyTask) -> None: self._task_list.append(task) ...
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<reponame>naviocean/imgclsmob import random import threading import numpy as np from PIL import Image, ImageOps, ImageFilter from tensorflow.keras.preprocessing.image import ImageDataGenerator, DirectoryIterator class SegDataset(object): """ Segmentation base dataset. Parameters: ---------- root ...
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"""This module is responsible for running the Flask restful API to communicate the the values of basic_math to a localhost on port 5000 """ from flask import Flask, request from flask_restful import Resource, Api import basic_math APP = Flask(__name__) API = Api(APP) def verify_list(list1, list2): """ Verifi...
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<reponame>Execut3/django-discount # Generated by Django 2.2.5 on 2020-12-02 02:03 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ...
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import os import networkx as nx import pandas as pd def induced_subgraph( G, filter_type, filter_attribute, filter_values, ignore_attrs=False ): """ Create custom induced subgraph. Args: filter_type: 'node' or 'edge' filter_attribute: attribute to filter on filter_values: att...
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#Import modules import os import pandas as pd import numpy as np from pandas import DatetimeIndex import dask import scipy from scipy.optimize import minimize, LinearConstraint import time from sklearn.preprocessing import MinMaxScaler, StandardScaler import pickle #Define Column Name indexName = 'date' ...
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class ToolNameAPI: thing = 'thing' toolname_tool = 'example' tln = ToolNameAPI() the_repo = "reponame" author = "authorname" profile = "authorprofile"
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<reponame>NeuralFlux/greenwheels from django import forms from Eprint_users.models import PrintDocs from . models import RatePerPage class UpdateForm(forms.ModelForm): class Meta: model = PrintDocs fields = ['task_by', 'completed', 'paid', 'collected', 'id'] class ChangeRate(forms.Mod...
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#!/usr/bin/env python import sys def get_output_dir(target_arch, component): # Build in "out_ffmpeg" for Chromium branding of ffmpeg. if component == 'ffmpeg': return 'out_ffmpeg' # Build in "out_component" for component build. output_dir = 'out' if component == 'shared_library': output_dir += '_c...
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<reponame>Ayansam1152/translate #!/usr/bin/env python3 import importlib import os # automatically import any Python files in the models/ directory for file in sorted(os.listdir(os.path.dirname(__file__))): if file.endswith(".py") and not file.startswith("_"): model_name = file[: file.find(".py")] ...
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from abc import abstractmethod import numpy as np from rlgym.utils import math from rlgym.utils.common_values import BLUE_TEAM, ORANGE_GOAL_CENTER, BLUE_GOAL_CENTER, ORANGE_TEAM from rlgym.utils.gamestates import GameState, PlayerData from rlgym.utils.reward_functions import RewardFunction class EventReward(RewardF...
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""" Test that using a non-existent architecture name does not crash LLDB. """ from __future__ import print_function import lldb from lldbsuite.test.lldbtest import * import lldbsuite.test.lldbutil as lldbutil class NoSuchArchTestCase(TestBase): mydir = TestBase.compute_mydir(__file__) def test(self): ...
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<filename>kay/tests/jinja2_test.py #:coding=utf-8: from kay.utils.test import Client from kay.utils import url_for from kay.app import get_application from kay.conf import LazySettings from kay.ext.testutils.gae_test_base import GAETestBase class Jinja2TestCase(GAETestBase): def setUp(self): s = L...
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<gh_stars>10-100 # Generated by Django 2.2.16 on 2020-11-04 19:38 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("api", "0101_scratch_org_nullable_email"), ] operations = [ migrations.AddField( model_name="product", ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for the file-like object implementation using pyvshadow.""" import os import unittest from dfvfs.file_io import vshadow_file_io from dfvfs.lib import definitions from dfvfs.lib import errors from dfvfs.path import factory as path_spec_factory from dfvfs.resolver ...
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<filename>katacomb/katacomb/aips_parser.py import logging import InfoList import ParserUtil from katacomb import obit_err, handle_obit_err from katacomb.obit_types import OBIT_TYPE_ENUM log = logging.getLogger('katacomb') def parse_aips_config(aips_cfg_file): """ Parses an AIPS config file into a dicti...
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import pathlib import asyncio import argparse from typing import List FPS = 60 SPEED_MULTIPLIER = float(input("Video speed multiplier: ")) FRAME_TIME = round(1 / SPEED_MULTIPLIER, 4) FFMPEG_CMD = "ffmpeg -y -i {} -r 60 -filter:v \"setpts={}*PTS\" {}" async def main(): file_list: List[pathlib.Path] = args.VIDEO...
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<filename>sppas/documentation/scripting_solutions/ex16_annotations_dur_filter.py #!/usr/bin python """ :author: <NAME> :date: 2018-07-09 :contact: <EMAIL> :license: GPL, v3 :copyright: Copyright (C) 2018 <NAME>, Laboratoire Parole et Langage :summary: Open an annotated file and filter ...
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<filename>analyzer/darwin/lib/common/config.py # Copyright (C) 2014-2016 Cuckoo Foundation. # This file is part of Cuckoo Sandbox - http://www.cuckoosandbox.org # See the file 'docs/LICENSE' for copying permission. import ConfigParser class Config: def __init__(self, cfg): """@param cfg: configuration fil...
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<reponame>arita37/ptl2r.github.io #!/usr/bin/env python # -*- coding: utf-8 -*- # Created by <NAME> | 26/09/2018 | https://y-research.github.io """Description """ import torch from org.archive.eval.metric import tor_nDCG_at_k, tor_nDCG_at_ks, EMD_at_k from org.archive.l2r_global import L2R_GLOBAL gpu, device = L2R...
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<filename>servermn/core/__init__.py def init(): # Set locale environment # Set config # Set user and group # init logger pass
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<reponame>ContinuumIO/enaml #------------------------------------------------------------------------------ # Copyright (c) 2013, Nucleic Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #---------------------...
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<filename>agagd/agagd_core/tables/all_chapters_table.py import agagd_core.models as agagd_models import django_tables2 as tables from django.utils.html import format_html # Base Bootstrap Column Header Attributes default_bootstrap_header_column_attrs = { "class": "table", "thead": {"class": "thead-dark"}, ...
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<reponame>krishotte/web_sperky<gh_stars>0 """A DashboardController Module.""" from masonite.request import Request from masonite.view import View from masonite.controllers import Controller from .PortfolioController import get_user from .auth.LoginController import get_caller_path from app.Product import Product from ...
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<reponame>forksnd/arbytmap try: from setuptools import setup, Extension, Command except ImportError: from distutils.core import setup, Extension, Command import arbytmap long_desc = "" try: long_desc = open("README.MD").read() except Exception: print("Couldn't read readme.") setup( name="arbytmap...
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<filename>setup.py #!/usr/bin/env python # -*- coding: utf-8 -*- from setuptools import setup version = '1.0.1' setup( name='fabplugins', version=version, description="Fabric plugins", long_description="Fabric plugins", keywords='fabplugins', author='Time Home', author_email='<EMAIL>', ...
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<filename>ApiManager/utils/utils.py #!/usr/bin/env python # _*_ coding:utf-8 _*_ import json import os import requests import xmind import logging import time from .parser import xmind_to_testsuites from ApiManager.models import XmindCase, UserInfo # from django.utils import timezone def get_absolute_path(path): ...
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<reponame>a000b/zderzacz-BTC<gh_stars>0 ## Program generuje dowolną ilość kluczy prywatnych oraz przekształca je w opcjonalnie w adresy Legacy bądź SegWit. ## Następnie odpytuje blockstream.info i oblicza saldo danego konta. ## To tylko zabawa, szansa na to że trafi się na tzw kolizję jest praktycznie zerowa, jak 1 do ...
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<reponame>alexcfaber/katka-core<filename>katka/migrations/0005_scmservice.py # Generated by Django 2.1.5 on 2019-02-14 08:04 import uuid from django.db import migrations, models import katka.fields class Migration(migrations.Migration): dependencies = [ ("katka", "0004_credential_secret"), ] ...
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from dj_rest_auth.registration.views import RegisterView from django.contrib.auth import get_user_model from rest_framework import status from rest_framework.decorators import action from rest_framework.mixins import ListModelMixin, RetrieveModelMixin, UpdateModelMixin from rest_framework.response import Response from ...
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import math import numpy as np import tensorflow as tf from tensorflow.keras import layers from tensorflow.keras import backend as K class PositionLayer(tf.keras.layers.Layer): def __init__(self, embedding_size, **kwargs): self.embedding_size = embedding_size super(PositionLayer, self).__init__(*...
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<filename>A/A 230 Dragons.py # https://codeforces.com/problemset/problem/230/A s, n = map(int, input().split()) dragons = sorted([[int(j) for j in input().split()] for i in range(n)], key=lambda x: x[0]) for d in dragons: if s > d[0]: s += d[1] else: print('NO') break else: print('...
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<filename>fulltext/services/extractor/extractor.py """Integration with Docker to perform plain text extraction.""" import os import shutil from datetime import datetime from typing import Tuple, Optional, Any import docker from docker import DockerClient from docker.errors import ContainerError, APIError from request...
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import os with open(os.path.join(os.path.dirname(__file__), "input.txt"), "r") as file: ins = [l.strip() for l in file.readlines()] card_count = 10007 stack = [] for j in range(card_count): stack.append(j) initial_stack = stack.copy() count = 0 for i in ins: if "stack" in i: stack.reverse() ...
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# -*- coding: utf-8 -*- import asyncio from config import (CHECK_SERVER_INTERVAL, CHECK_SERVER_INTERVAL_MAX, CRON_LOOP_INTERVAL) from discord import Activity, ActivityType from discord.errors import Forbidden, NotFound from discord.ext import commands, tasks from modules.db import Servers from modu...
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<filename>spikeextractors/extractors/mdaextractors/mdaextractors.py from spikeextractors import RecordingExtractor from spikeextractors import SortingExtractor import json import numpy as np from pathlib import Path from .mdaio import DiskReadMda, readmda, writemda32, writemda64 import os class MdaRecordingExtractor...
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<filename>src/InstPyr/MyDevices/helpers.py from dataclasses import dataclass,fields @dataclass class Sensor: pass
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import random import time import pygame import ppb.events as events import ppb.flags as flags default_resolution = 800, 600 class System(events.EventMixin): def __init__(self, **_): pass def __enter__(self): pass def __exit__(self, exc_type, exc_val, exc_tb): pass from ppb....
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<filename>tests/unit/test_api.py from eth_wallet.api import( WalletAPI, ) from tests.conftest import ( prepare_conf, ) from web3 import ( Web3, ) from eth_utils import ( decode_hex, ) def test_account(tmp_path): test_configuration = prepare_conf(tmp_path) WalletAPI.new_wallet(test_configurati...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # 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...
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<gh_stars>0 import copy from .slct import some_keeping_order,some from .index import uniform_index def fcp(ol): return(ol[:]) def max_length(ol): lngths = list(map(lambda r:len(r),ol)) lngth = max(lngths) return(lngth) def entries(ol): rslt = [] length = ol.__len__() for i in range(0,l...
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<gh_stars>0 import os import sys from typing import List, Tuple, TypeVar try: import importlib.resources as pkg_resources except: import importlib_resources as pkg_resources T = TypeVar("T") def var_to_grid(array_var: List[T], size: Tuple[int, int]) -> List[List[T]]: """convert ownership/policy to grid ...
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from django.contrib.gis.db import models from users.models import CustomUser as User class Occurrence(models.Model): CON = 'CONSTRUCTION' SPE = 'SPECIAL_EVENT' INC = 'INCIDENT' WCD = 'WEATHER_CONDITION' RCD = 'ROAD_CONDITION' CATEGORY_CHOICES=[ (CON, 'Construction'), (SPE, 'Spec...
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if __name__ == "__main__": import gizeh import moviepy.editor as mpy from vectortween.PointAnimation import PointAnimation from vectortween.SequentialAnimation import SequentialAnimation from vectortween.BezierCurveAnimation import BezierCurveAnimation from vectortween.PolarAnimation import Pol...
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<reponame>Livin21/LinuxDrop import sys from sender import send from receiver import receive def run(): try: option = sys.argv[1] if option == "-send": f_name = sys.argv[2] send.start_server(f_name) elif option == "-receive": receive.receive() el...
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#!/usr/bin/env python # Goal of this script is to take a vulners url and give you the short description of the CVE # Ideally, this will be run against the vulners nmap output, which will append the description # to each of the findings. # Probably a lot of unnecessary code, but got incredibly frustrated debugging due ...
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P = [] f = [] def primes(): P = [] mark = [0]*1000001 for i in xrange(2, 1000001): if mark[i]: continue P.append(i) for j in xrange(i + i, 1000001, i): mark[j] = 1 return P def calc(): for p in P: for i in xrange(p + p, 1000001, p): ...
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<reponame>GodQ/notest import pycurl import os import sys import copy from io import BytesIO from .http_auth_type import HttpAuthType from .http_response import HttpResponse base_dir = os.path.abspath(os.path.dirname(__file__)) libcurl_crt_file = os.path.join(base_dir, "..", "..", "tools", "curl-ca-bundle.crt") DEFA...
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<filename>samples/tutorial-2-wg.py from pyalgotrade import strategy from pyalgotrade.barfeed import quandlfeed from pyalgotrade.technical import ma def safe_round(value, digits): if value is not None: value = round(value, digits) return value class MyStrategy(strategy.BacktestingStrategy): def _...
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<reponame>RealTimeWeb/wikisite # -*- coding: utf-8 -*- """ MoinMoin - MoinMoin.caching Tests @copyright: 2007 by MoinMoin:ThomasWaldmann @license: GNU GPL, see COPYING for details. """ import py import time from MoinMoin import caching from MoinMoin.PageEditor import PageEditor class TestCaching(objec...
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# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
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import tensorflow as tf class ConfusionMatrix(tf.keras.metrics.Metric): def __init__(self, num_classes, **kwargs): super(ConfusionMatrix, self).__init__(name='confusion_matrix', **kwargs) # handles base args (e.g., dtype) self.num_classes = num_classes self.total_cm = self.add_we...
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<reponame>kevinlib/IOHMM ''' The Wrapper of statsmodels one parameter exponential family distributions used by GLM, with the added functionality for log likelihood per sample. Loglikelihood per sample is going to be used in IOHMM to estimate emission probability. ''' from __future__ import division from past.utils imp...
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import random import pytest import redis from RLTest import Env from test_helper_classes import _get_ts_info def test_ooo(self): with Env().getClusterConnectionIfNeeded() as r: quantity = 50001 type_list = ['', 'UNCOMPRESSED'] for chunk_type in type_list: r.execute_command('ts...
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<reponame>phigre/cobi import torch import numpy as np import rasterio import salem from oggm import entity_task, cfg from combine2d.core.sia2d_adapted import Upstream2D import logging # ------------------------------- # Further initialization / extended import tasks # Module logger log = logging.getLogger(__name__) #...
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<reponame>mann-brinson/LA_Apartments_Scraper #!/usr/bin/env python # coding: utf-8 import argparse import sys import sqlite3 import pandas as pd import os import shutil import matplotlib.pylab as pylab import matplotlib.pyplot as plt import seaborn as sns #GOAL: Run queries on la_apartments.db to return simple metri...
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from keeks.binary_strategies.base import BaseStrategy __author__ = 'willmcginnis' class NaiveStrategy(BaseStrategy): def __init__(self, payoff, loss, transaction_cost): """ The Naive strategy returns full portion of bet if expected value is above transaction costs at all. :param payoff: ...
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import heapq class KthLargest(object): def __init__(self, k, nums): """ :type k: int :type nums: List[int] """ self.heap = [] self.k = k for i in range(len(nums)): self.add(nums[i]) def add(self, val): """ :type val: int ...
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def old_test_single_annot_distinctiveness_params(ibs, aid): r""" CommandLine: python -m ibeis.model.hots.distinctiveness_normalizer --test-old_test_single_annot_distinctiveness_params --show python -m ibeis.model.hots.distinctiveness_normalizer --test-old_test_single_annot_distinctiveness_param...
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class ExportError(Exception): pass
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<reponame>uninassau-2020-2/proj-grupo5 from app.models.DAO import DAOFornecedorPJ import pymysql from app import app from config import mysql from flask import jsonify from flask import flash, request from app.models.classes_basicas.FornecedorPJ import FornecedorPJ def add_fornecedorpj(f): try: return DAO...
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<reponame>DogukanKundum/Classification-tweets<filename>test10.py<gh_stars>1-10 import sys import pandas as pd from sklearn.feature_extraction.text import TfidfVectorizer pd.options.mode.chained_assignment = None import numpy as np import warnings warnings.filterwarnings(action='ignore', category=UserWarning, module=...
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#!/usr/bin/env python3 ########################################## ## EKF source switch ## ########################################## from mycelium.components import Base, Connector class Switch(Base): def __init__(self, connection_string=None, # Port set in mavproxy/mavlink to send ...
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import sys sys.path = [ ''] import Phase1 from pirates.launcher.PiratesQuickLauncher import PiratesQuickLauncher launcher = PiratesQuickLauncher() launcher.notify.info('Reached end of StartPiratesLauncher.py.')
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<filename>02.keras_MNIST_linear.py<gh_stars>1-10 from keras.models import Sequential from keras.datasets import mnist from keras.layers import Dense from keras.utils import np_utils # For transformation of one-hot-encoding. ## Settings in training phase. batch_size = 1024 # Change batch size based on the capability...
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import requests def ais() -> dict: try: url = 'https://i.sjtu.edu.cn/xtgl/login_slogin.html' headers = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/15.3 Safari/605.1.15', 'Content-Type': 'text/html;charset...
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#!/usr/bin/env python # encoding: utf-8 """ Library of built-in probability functions. These probability functions use `scipy.stats` at their core, but also encapsulate *limits* so that they can return a ln prob of -infinity when a sample is called outside those limits. This is useful for emcee sampling. Note this is...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_django-activitylog ------------ Tests for `django-activitylog` models module. """ from django.test import TestCase from django.utils import timezone from activitylog.models import ActivityLog class ActivityLogModelTests(TestCase): def test_str(self): ...
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<reponame>bpow/CNVpytor<gh_stars>0 from setuptools import setup with open("README.md", "r") as fh: long_description = fh.read() exec(open('cnvpytor/version.py').read()) setup( name='CNVpytor', version=__version__, author='<NAME>, <NAME>, <NAME>', author_email='<EMAIL>', packages=['cnvpytor'],...
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