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from dulwich.repo import Repo from dulwich.client import get_transport_and_path import sys def push(remote_url, repo_path='.'): """ Push to a remote repository :param remote_url: <str> url of remote repository :param repo_path: <str> path of local repository :return refs: <dict> dictionary of ref-...
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import torch from glasses.nn.regularization import DropBlock, StochasticDepth def test_drop_block(): drop = DropBlock() x = torch.ones((1, 3, 28, 28)) x_drop = drop(x) assert not torch.equal(x, x_drop) assert drop.training drop = drop.eval() x_drop = drop(x) assert torch.equal(x, x_d...
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#! /Users/susorhc1/anaconda/bin/python ## ## ## # Program: dD_plots_lon_runbin # Author: Hannah C.M. Susorney # Date Created: 2020-03-03 # # Purpose: To compare depth/diameter measurements in overlapping longitude bins # Used in study # # Required Inputs: .csv of data # # Updates: 2021-08-31 - Clean and document cod...
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from bs4 import BeautifulSoup as Soup import re import json import sys import shutil import tempfile import os import subprocess from pathlib import Path from docassemble.base.util import log, path_and_mimetype, validation_error, DADict, DAList, Individual, value, force_ask, space_to_underscore __all__ = ['run_automa...
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#! /usr/bin/env python3 import sys import argparse from graphenetools import gt def create_parser(): parser = argparse.ArgumentParser(description="Plot graphene lattice and C1/3 phase corresponding to printed command line arguments for uniaxially strained graphene (for use with QMC software located at https://code...
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from django.contrib import admin from .models import UserProfile class ProfileAdmin(admin.ModelAdmin): """Display the user profiles created in the Admin panel.""" list_display = ( 'user', 'default_full_name', 'default_email', 'default_country', ) admin.site.register(UserPr...
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from django.db import models from django.db.models.signals import pre_save, post_save from django.dispatch import receiver from django.contrib.auth.base_user import AbstractBaseUser, BaseUserManager from django.contrib.auth.models import PermissionsMixin from django.utils import timezone from django.utils.translation i...
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from .dataset import Dataset, Document
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import psycopg2 import re import json from MedTAG_sket_dock_App.models import * import os import pandas as pd import numpy from psycopg2.extensions import register_adapter, AsIs def addapt_numpy_float64(numpy_float64): return AsIs(numpy_float64) def addapt_numpy_int64(numpy_int64): return AsIs(numpy_int64) regi...
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import sys sys.path.append("/home/ly/workspace/mmsa") seed = 1938 import numpy as np import torch from torch import nn from torch import optim np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) from models.bigru_rcnn_gate import * from utils.train import * from t...
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#!/usr/bin/env python # -*- coding: UTF-8 -*- ######################################################################## # GNU General Public License v3.0 # GNU GPLv3 # Copyright (c) 2019, Noureldien Hussein # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General ...
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#mostre quando a pessoa vai pagar com o desconto de 5% preco = float(input('Digite o Preço do Produto R$: ')) desconto = preco * 0.05 print(f'O preço do Produto é de R${preco:.2f} com o Desconto de R${desconto:.2f} \nO Total vai ficar R$:{preco - desconto:.2f}')
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#!/usr/bin/env python # coding: utf-8 # In[65]: from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer from sklearn.naive_bayes import BernoulliNB, MultinomialNB from sklearn import metrics from sklearn.metrics import roc_auc_score, accuracy_score import requests from bs4 import BeautifulSoup im...
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import json import numpy as np import os import tensorflow as tf from keras.models import Sequential from keras.layers import Dense, Dropout, Embedding, Flatten, Activation, BatchNormalization from sklearn.model_selection import train_test_split class SuggestionModeler(object): """ A collection of functions ...
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preço = float(input('Digite o preço do produto: R$')) d = preço * 0.05 vD = preço - d print('Valor original R${:.2f}, desconto de 5% é igual à R${:.2f}, seu novo preço é R${:.2f}'.format(preço, d, vD))
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""" Logic related to License, PatternMatch, etc. for atmosphere. """ from django.core.validators import URLValidator from django.core.exceptions import ValidationError from core.models.license import License, LicenseType from core.models.match import PatternMatch, MatchType from core.models.identity import Identit...
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import support support.tune_all(pairs_to_tune=support.pairs, verbose=1)
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import numpy as np import tensorflow as tf from encoder import Encoder from decoder import Decoder, TreeDecoder import bisect from time import time class PointerNet(object): def __init__(self, vsize, esize, hsize, asize, buckets, **kwargs): super(PointerNet, self).__init__() self.name = kwargs....
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import itertools from typing import Sequence import torch.nn as nn import torch from perceiver_io.io_processors.preprocessors import ImagePreprocessor from perceiver_io.io_processors.processor_utils import patches_for_flow from perceiver_io.output_queries import FlowQuery from perceiver_io.perceiver import PerceiverI...
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load(":import_external.bzl", import_external = "import_external") def dependencies(): import_external( name = "commons_fileupload_commons_fileupload", artifact = "commons-fileupload:commons-fileupload:1.4", artifact_sha256 = "a4ec02336f49253ea50405698b79232b8c5cbf02cb60df3a674d77a749a1def7"...
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################################################## # # Tests for model.py # # # # # # # # # # # ################################################## from boole.core.model import * from boole.core.language import clear_default_language from nose.tools import * def is_prime(x): if x == 0 or x == 1: return Fa...
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#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Sniffs RF4CE packets. Supports encryption. """ from __future__ import (absolute_import, print_function, unicode_literals) from builtins import * import argparse from datetime import datetime import binascii from rf4ce import Dot15d4FCS, Dot15...
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# from electrum_stratis.i18n import _ # fullname = 'Plot History' # description = _("Ability to plot transaction history in graphical mode.") # requires = [('matplotlib', 'matplotlib')] # available_for = ['qt']
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#!/usr/bin/env python3 """ Host the setup function. """ import pathlib import setuptools from cushead import info def setup() -> None: """ Execute the setup. """ assets_path = pathlib.Path(info.PACKAGE_NAME) / "console" / "assets" / "images" templates_path = pathlib.Path(info.PACKAGE_NAME) / "ge...
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#!~/bike-computer/.venv/bin python import picamera import datetime path = '/home/pi/bike-computer/data/' with picamera.PiCamera(resolution=(1640,1232),framerate=30) as camera: try: while True: #start_time = datetime.datetime.now().timestamp() for filename in camera.record_sequence(path+'%d.h264' % i for...
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#!/usr/bin/env python import unittest import pytest import sys, os import logging import pdfplumber from pdfplumber import table from pdfplumber.utils import Decimal logging.disable(logging.ERROR) HERE = os.path.abspath(os.path.dirname(__file__)) class Test(unittest.TestCase): @classmethod def setup_clas...
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import torchvision.models as models from torch.nn import Module, Sequential, Linear class Model(Module): def __init__(self, pretrained: bool = False, in_dim: int = 2048, out_dim: int = 256): super(Model, self).__init__() self.resnet = Sequential(*list(models.resnet50(pretrained=pretrained).childr...
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import os, sys import re import zipfile import requests import warnings import logging import pandas as pd import numpy as np from stat import S_IREAD, S_IRGRP, S_IROTH import getpass import pymysql # Code by Jeff Levy (jlevy@urban.org), 2016-2017 class LoadData(): """ This class is inherited by the Data clas...
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import boto3 import os import json from botocore.exceptions import ClientError try: POLLY_METADATA_STORE = os.environ['POLLY_METADATA_STORE'] except KeyError as e: print(f"Missing env variable: {e}") exit(1) dynamo = boto3.resource("dynamodb") polly_metadata_store = dynamo.Table(POLLY_METADATA_STORE) def...
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import sys import ctypes class Encoding: # Unknown - the default value IR_ENCODING_UNKNOWN = 1 # Space encoding, or Pulse Distance Modulation IR_ENCODING_SPACE = 2 # Pulse encoding, or Pulse Width Modulation IR_ENCODING_PULSE = 3 # Bi-Phase, or Manchester encoding IR_ENCODING_BIPHASE = 4 # RC5 - a type of Bi-P...
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from PedSimulation.scene import * from PedSimulation.gui.ui.mainwindow_main import Ui_MainWindow_Main from PedSimulation.gui.ui.mainwindow_setting import Ui_MainWindow_Setting, Dragebutton from PedSimulation.gui.drawer.drawer_register import SceneDrawerRegister from PyQt5 import QtCore from PyQt5.QtWidgets import QDesk...
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#!/usr/bin/env python3 """An instantiable component. See the docstring for the class.""" from __future__ import absolute_import, division, print_function from future.utils import with_metaclass import logging import inspect class NamedClass(type): """ A read-only name property for classes. See http://sta...
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# Copyright (c) 2021 Binbin Zhang(binbzha@qq.com) # # 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...
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from maya import cmds import copy # TODO: Find a way to have different naming for different production. # Maybe handle it in the rig directly? class BaseName(object): """ This class handle the naming of object. Store a name as a list of 'tokens' When resolved, the tokens are joinned using a 'separator...
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# Copyright 2022 Tiernan8r # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, so...
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import math import numpy as np import torch from mock import patch from core.train_utils import compute_angular_error, compute_angular_error_xyz_arr, spherical2cartesial def test_spherical2cartesial(): spherical = torch.Tensor([ [0, 0], [math.pi / 2, 0], [-math.pi / 2, 0], [0, ma...
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from rest_framework import serializers from scripts.models import Manuscript from scripts.models import Page from scripts.models import Coordinates class ManuscriptSerializer(serializers.ModelSerializer): class Meta: model = Manuscript fields = ('id', 'slug', 'shelfmark', 'date', 'manifest') cla...
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import csv import re from os import makedirs from os.path import abspath, basename, dirname, isdir, join def generate_csv(path, fields, rows, quote_empty=False): path = abspath(path) name = basename(path) name = re.sub('py$', 'csv', name) cases = join(dirname(dirname(path)), 'cases') if not isdir(...
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from datetime import datetime import traceback import boto3 from botocore.exceptions import ClientError from ...config import config from ...log import log class Submitter(): def __init__(self, event): self.event = event def find_instance(self, instance_id, mac_address): # pylint: disable=R0201 ...
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import asyncio import json import os import sys import multiprocessing import webbrowser import requests import requests.cookies import logging as log import subprocess import time from galaxy.api.consts import LocalGameState, Platform from galaxy.api.plugin import Plugin, create_and_run_plugin from galaxy.api.types ...
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import pytest from buyer import serializers @pytest.mark.django_db def test_buyer_deserialization(): data = { 'email': 'jim@example.com', 'name': 'Jim Exampleson', 'sector': 'AEROSPACE', 'company_name': 'Example corp', 'country': 'China', } serializer = serializer...
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from moai.utils.arguments.common import ( assert_numeric, assert_non_negative, assert_negative, ) from moai.utils.arguments.choices import ( assert_choices, ensure_choices, ) from moai.utils.arguments.list import ( ensure_numeric_list, ensure_string_list, assert_sequence_size, ) from moa...
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########################################################################## # Copyright (c) 2009, ETH Zurich. # All rights reserved. # # This file is distributed under the terms in the attached LICENSE file. # If you do not find this file, copies can be found by writing to: # ETH Zurich D-INFK, Universitaetstrasse 6, CH...
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#1d_tests.py import autograd.numpy as np import autograd.scipy.stats.norm as norm from copy import copy import datetime as dt from matplotlib import pyplot as plt import seaborn as sns import sys; sys.path.append('..') from mcmc import langevin, MALA, RK_langevin, RWMH, HMC def bimodal_logprob(z): return (np.log(n...
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import qrcode # data example data = "www.google.com" # file name file_name = "qrcode.png" # generate qr code img = qrcode.make(data=data) # save generated qr code as img img.save(file_name)
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import click import inspect import os import requests from onecodex.exceptions import OneCodexException, UnboundObject def as_uri(uuid, base_class): return base_class._resource._schema._uri.rstrip("#") + "/" + uuid def coerce_search_value(search_value, field_name, base_class): from onecodex.models import O...
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from itertools import count, product import numpy as np grid = np.genfromtxt("input.txt", delimiter=1, dtype=int) def propagate_flash(grid, i, j, flash_mask): flash_mask[i, j] = 1 for di, dj in product(range(-1, 2), range(-1, 2)): if 0 <= i + di < grid.shape[0] and 0 <= j + dj < grid.shape[1]: ...
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# Calculate the intersection of the land use polygons with Muette land_use_muette = land_use.geometry.intersection(muette)
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""" Low level miscilanious calls """ import UserDict import types import random import datetime import pprint import re import unicodedata import logging log = logging.getLogger(__name__) now_override = None def now(): """ A passthough to get now() We can override this so that automated tests can fake ...
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class Node: props = () def __init__(self, **kwargs): for prop in kwargs: if prop not in self.props: raise Exception('Invalid property %r, allowed only: %s' % (prop, self.props)) self.__dict__[prop] = kwargs[prop] for prop...
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import os import cv2 from ReceiptGenerator.draw_receipt import create_crnn_sample NUM_OF_TRAINING_IMAGES = 3000 NUM_OF_TEST_IMAGES = 1000 TEXT_TYPES = ['word', 'word_column', 'word_bracket', 'int', 'float', 'price_left', 'price_right', 'percentage'] # TEXT_TYPES = ['word'] with open('./ReceiptProcessor/training_ima...
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import os from pydantic import BaseSettings class AppSettings(BaseSettings): debug: bool = False time_zone: str = "Asia/Shanghai" logger_level: str = "INFO" logger_formatter: str = "%(asctime)s [%(name)s] %(funcName)s[line:%(lineno)d] %(levelname)-7s: %(message)s" secret_key: str = "1@3$5^7*9)" ...
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# coding: utf-8 """ Layered Insight Assessment, Compliance, Witness & Control LI Assessment & Compliance performs static vulnerability analysis, license and package compliance. LI Witness provides deep insight and analytics into containerized applications. Control provides dynamic runtime security and analyti...
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# configure debugging import os from .local import * DEBUG=True TEMPLATE_DEBUG = True INTERNAL_IPS = ('127.0.0.1',) MIDDLEWARE_CLASSES.extend([ #'debug_toolbar.middleware.DebugToolbarMiddleware', ]) DATABASES = { 'fctracker': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': '/var/htsworkflo...
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# Generated with SMOP 0.41-beta try: from smop.libsmop import * except ImportError: raise ImportError('File compiled with `smop3`, please install `smop3` to run it.') from None # Script_DoubleBarrierOptions.m ################################################################## ### DOUBLE BARRIER OPT...
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# Generated by Django 2.2.10 on 2020-01-28 07:01 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('computes', '0001_initial'), ] operations = [ migrations.CreateModel( name=...
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''' Different utils used by plotters. ''' import mpl_toolkits.basemap as bm import matplotlib.pyplot as pl from matplotlib import colors, cm import scipy as sp # Make spectral plot def my_psd(x): P,f=pl.psd(x); pl.clf() T=2./f; ind= T>=12. pl.plot(T[ind]/12,P[ind]); ax=pl.gca(); ax.set_xscale('lo...
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""" These are various mehtods that can be used in the training process. Some return values, some display images. Best used in Jupyter Notebooks. """ from __future__ import division, print_function, absolute_import # Use one of these based on the version of skimage loaded from skimage.util import montage # from skima...
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#!/usr/bin/env python """ Lyrebird Voice Changer Simple and powerful voice changer for Linux, written in GTK 3 (c) Charlotte 2020 """ import sys import re from setuptools import setup version_regex = r'__version__ = ["\']([^"\']*)["\']' with open('app/__init__.py', 'r') as f: text = f.read() match = re.search...
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from .curve import ParametricCurve as _ParametricCurve from sympy import Symbol as _Symbol def curve_normalization( other:_ParametricCurve, new_var=_Symbol('s', real=True)): from sympy import S, solveset, Eq from sympy import integrate from silkpy.sympy_utility import norm drdt = norm(othe...
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from pyroute2.netlink import rtnl from pyroute2.netlink import NETLINK_ROUTE from pyroute2.netlink.nlsocket import NetlinkSocket from pyroute2.netlink.rtnl.marshal import MarshalRtnl class RawIPRSocketMixin(object): def __init__(self, fileno=None): super(RawIPRSocketMixin, self).__init__(NETLINK_ROUTE, f...
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from zhixuewang.urls import BASE_URL class Url: INFO_URL = f"{BASE_URL}/container/container/student/account/" CHANGE_PASSWORD_URL = f"{BASE_URL}/portalcenter/home/updatePassword/" TEST_URL = f"{BASE_URL}/container/container/teacher/teacherAccountNew" GET_EXAM_URL = f"{BASE_URL}/classreport/class/cl...
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sort = lambda array: [sublist for sublist in sorted(array, key=lambda x: x[1])] if __name__ == "__main__": print(sort([ ("English", 88), ("Social", 82), ("Science", 90), ("Math", 97) ]))
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from django.db import models from django.utils.translation import ugettext_lazy as _ from helusers.models import AbstractUser class User(AbstractUser): is_official = models.BooleanField(verbose_name=_("official"), default=False) class Meta: verbose_name = _("user") verbose_name_plural = _("us...
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import time import traceback from python_terraform import Terraform from src.main.python.tranquilitybase.gcpdac.configuration.helpers.eaglehelper import EagleConfigHelper from src.main.python.tranquilitybase.gcpdac.configuration.helpers.envhelper import EnvHelper from src.main.python.tranquilitybase.gcpdac.main.core.t...
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import logging import json import os.path LOG = logging.getLogger(__name__) class JsonFile(object): def __init__(self, path, default_data=None, ignore_errors=False, header=None): '''Construct a new JsonFile. Parameters ---------- default_data : dict ...
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""" Twitch API Module. This module implements only those parts of the Twitch API needed for the twitchalyze app to function. It is not a general purpose SDK. This module is written against Version 5 of the Twitch API. """ import json import requests # Read in user configuration with open('.twitchalyze') as data_fil...
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#!/usr/bin/env python # coding: utf-8 # In[1]: import numpy as np import pandas as pd import glob,os,csv,re,math import shutil, time from astropy.io import ascii import matplotlib.pyplot as plt # Load all data files: psdir ='/Users/maryumsayeed/Desktop/HuberNess/mlearning/powerspectrum/' hrdir ='/Users/maryu...
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""" See Ian P. Gent, Christopher Jefferson, Ian Miguel: Watched Literals for Constraint Propagation in Minion. CP 2006: 182-197 Examples of Execution: python3 LangfordBin.py python3 LangfordBin.py -data=10 """ from pycsp3 import * n = data or 8 # v[i] is the ith value of the Langford's sequence v = VarArray(siz...
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# Authors: Michael Sander, Pierre Ablin # License: MIT """ Original code from Maclaurin, Dougal, David Duvenaud, and Ryan Adams. "Gradient-based hyperparameter optimization through reversible learning." International conference on machine learning. PMLR, 2015. """ import numpy as np import torch RADIX_SCALE = 2 ** 5...
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#!/usr/bin/python # -*- coding: utf-8 -*- # thumbor imaging service # https://github.com/TechLaProvence/lp_mongodb # Licensed under the MIT license: # http://www.opensource.org/licenses/mit-license # Copyright (c) 2011 figarocms dhardy@figarocms.fr from tornado.concurrent import return_future from lp_mongodb.storag...
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import numpy as np from tabulate import tabulate import matplotlib.pyplot as plt import Page_Rank_Utils as pru def detectedConverged(y,x,epsilon): C = set() N = set() for i in range(len(y)): if abs(y[i] - x[i])/abs(x[i]) < epsilon: C.add(i) else: N.add(i) return...
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from troyka_led_matrix import TroykaLedMatrix from urandom import getrandbits import time matrix = TroykaLedMatrix() while True: matrix.draw_pixel(getrandbits(3), getrandbits(3)) matrix.clear_pixel(getrandbits(3), getrandbits(3)) time.sleep_ms(50)
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import json import logging from datetime import datetime, timezone from ..enip_common.pg import get_ro_cursor from .run import export_all_states, export_national # Bulk-exports a range of ingests for testing purposes. Prints out a JSON # blob describing the exports. START_TIME = datetime(2020, 10, 15, 16, 0, 0, tzinf...
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''' show_chassis.py Parser for the following show commands: * show chassis fpc detail * show chassis environment routing-engine * show chassis firmware * show chassis firmware no-forwarding ''' # python import re from genie.metaparser import MetaParser from genie.metaparser.util.schemaengine import (...
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import math import itertools class Vector: """ Generic vector operations. """ def _apply(self,op, other): pairwise = None if type(other) is Vector: pairwise = zip(self.vals, other.vals) else: pairwise = zip(self.vals, [other for _ ...
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"""Module containing global playground constants and functions.""" import os from google.appengine.api import app_identity from google.appengine.api import backends DEBUG = True COMPUTE_IDLE_INSTANCES_TARGET = 0 COMPUTE_INSTANCE_TTL_MINUTES = 10 COMPUTE_PROJECT_ID = app_identity.get_application_id() COMPUTE_ZON...
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import numpy as np import os os.environ['TF_FORCE_GPU_ALLOW_GROWTH']='true' import datetime from sacred import Experiment from sacred.observers import FileStorageObserver from datasets.ucf101 import UCF101Dataset from algorithms.kerasvideoonenet import KerasVideoOneNet from algorithms.kerasvideoonenet_admm import Keras...
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## This script requires "requests": http://docs.python-requests.org/ ## To install: pip install requests import requests import json FRESHDESK_ENDPOINT = "http://YOUR_DOMAIN.freshdesk.com" # check if you have configured https, modify accordingly FRESHDESK_KEY = "YOUR_API_TOKEN" user_info = {"user":{"name":"Example U...
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# Generated by Django 2.2.2 on 2020-03-07 03:59 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('ordenes', '0002_auto_20200305_0056'), ] operations = [ migrations.AddField( model_name='orden', name='guia_de_envio'...
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#tiersweekly.py from fantasyfootball import tiers from fantasyfootball import fantasypros as fp from fantasyfootball import config from fantasyfootball import ffcalculator from fantasyfootball.config import FIGURE_DIR from sklearn.cluster import KMeans from sklearn.mixture import GaussianMixture from matplotlib import...
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from makememe.generator.prompts.prompt import Prompt import datetime from PIL import Image from makememe.generator.design.image_manager import Image_Manager class Ineffective_Solution(Prompt): name = "Ineffective_Solution" description = "the solution was a poor way of doing it" def __init__(self): ...
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"""Pauses the execution.""" import time from dodo_commands.framework.decorator_utils import uses_decorator class Decorator: def is_used(self, config, command_name, decorator_name): return uses_decorator(config, command_name, decorator_name) def add_arguments(self, parser): # override parser...
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class Solution: def decompressRLElist(self, nums: List[int]) -> List[int]: de = [] for i in range(0, len(nums), 2): pair = [] pair.append(nums[i]) pair.append(nums[i + 1]) arr = [nums[i + 1]] * nums[i] de += arr return de
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from marshmallow import (fields, post_load, Schema, validate, validates, validates_schema, ValidationError) from {{cookiecutter.project_slug}}.lib.hash import compare_plaintext_to_hash, hash_plaintext from {{cookiecutter.project_slug}}.models.user import User, get_user_by_email_address MIN_PA...
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class SubCommand: def __init__(self, command, description="", arguments=[], mutually_exclusive_arguments=[]): self._command = command self._description = description self._arguments = arguments self._mutually_exclusive_arguments = mutually_exclusive_arguments def getCommand(self)...
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import logging from typing import List from .AnaplanRequest import AnaplanRequest from .User import User from .ModelDetails import ModelDetails logger = logging.getLogger(__name__) class Model(User): def get_models_url(self) -> AnaplanRequest: """Get list of all Anaplan model for the specified user. :return: O...
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from unittest import mock from lms.extensions.feature_flags.views._predicates import FeatureFlagViewPredicate class TestFeatureFlagsViewPredicate: def test_text(self): assert ( FeatureFlagViewPredicate("test_feature", mock.sentinel.config).text() == "feature_flag = test_feature" ...
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def read_file(filepath): with open(filepath,'r') as i: inst = [int(x) for x in i.read().replace(')','-1,').replace('(','1,').strip('\n').strip(',').split(',')] return inst def calculate(inst,floor=0): for i,f in enumerate(inst): floor += f if floor < 0: break ...
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# Hangman game # # ----------------------------------- # Helper code # You don't need to understand this helper code, # but you will have to know how to use the functions # (so be sure to read the docstrings!) import random import string WORDLIST_FILENAME = "/Users/deedeebanh/Documents/MITx_6.00.1.x/ProblemSet3/word...
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from database_creation.nyt_article import Article from database_creation.utils import Tuple, Wikipedia, Query, Annotation from numpy import split as np_split from numpy.random import seed, choice from time import time from glob import glob from collections import defaultdict from pickle import dump, load, PicklingErro...
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#!/usr/bin/python3 import argparse from datetime import datetime import json from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5 import uic import os import sys from weather import Weather BASE_PATH = os.path.dirname(os.path.abspath(__file__)) DISP_SIZE = (640, 384) WHITE = 0xffffffff BLACK = 0xff000...
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import os from run_grtrans_test_problems import run_test_problems from unit_tests import run_unit_tests passed, max_passed, failed = run_test_problems(save=0) nfailed, ufailed = run_unit_tests() if passed < max_passed or nfailed > 0: print 'ERROR -- grtrans tests failed!' else: # os.chdir('..') # os.system('cvs...
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"""Exceptions for the Luftdaten Wrapper.""" class LuftdatenError(Exception): """General LuftdatenError exception occurred.""" pass class LuftdatenConnectionError(LuftdatenError): """When a connection error is encountered.""" pass class LuftdatenNoDataAvailable(LuftdatenError): """When no dat...
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from sklearn.metrics import r2_score y_true = [3, -0.5, 2, 7] y_pred = [2.5, 0.0, 2, 8] r2=r2_score(y_true, y_pred) print(r2) y_true = [5,6,7,8] y_pred = [-100,524,-1,3] r2=r2_score(y_true, y_pred) print(r2) r2_
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import pytest from ssz.sedes import Bitvector def test_bitvector_instantiation_bound(): with pytest.raises(ValueError): bit_count = 0 Bitvector(bit_count)
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# Seguridad Informatica # ejercicio de encriptacion # Angelo Padron (42487) from Crypto.Cipher import AES from Crypto.Random import get_random_bytes with open('key.bin', 'rb') as k: key = k.read() with open('vector.bin', 'rb') as v: init_vector = v.read() cipher = AES.new(key, AES.MODE_CBC, ...
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""" @Time: 2018/5/11 10:57 @Author: qingyaocui """ from course.src.service import admin_service from course.src.models import Student login_stu = None def show_choice(): show = ''' 1.菜单 2.登录 3.注册 4.查看成绩 Q|q.退出系统 ''' print(show) def login(): s_name = input...
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import numpy as np import os from six.moves import cPickle as pickle import neuralnetwork as nn import inputdata # ----------------------------------------------------------------------------- # arser = argparse.ArgumentParser() parser.add_argument('-valid_train', action='store', dest='valid_train', help='Valid/Trai...
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def test_check_left_panel(app): app.login(username="admin", password="admin") app.main_page.get_menu_items_list() app.main_page.check_all_admin_panel_items()
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