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import socket from datetime import datetime # Author @inforkgodara ip_address = input("IP Address: ") splitted_ip_digits = ip_address.split('.') dot = '.' first_three_ip_digits = splitted_ip_digits[0] + dot + splitted_ip_digits[1] + dot + splitted_ip_digits[2] + dot starting_number = int(input("Starting IP Number: "...
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class CyclesMeshSettings: pass
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#__init__.py backend import os import sys import logging from importlib import import_module L = logging.getLogger('backend') def create_widget(node): ''' create widget based on xml node ''' _widget = None if 'impl' in node.attrib: try: _widget = create_widget_from_impl(node.a...
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import FWCore.ParameterSet.Config as cms from CondTools.Geometry.HGCalEEParametersWriter_cfi import * from Configuration.ProcessModifiers.dd4hep_cff import dd4hep dd4hep.toModify(HGCalEEParametersWriter, fromDD4Hep = cms.bool(True) ) HGCalHESiParametersWriter = HGCalEEParametersWriter.clone( nam...
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# # File: # TRANS_streamline.py # # Synopsis: # Illustrates how to create a streamline plot # # Categories: # streamline plot # # Author: # Karin Meier-Fleischer, based on NCL example # # Date of initial publication: # September 2018 # # Description: # This example shows how to create a stream...
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#function to normalise image #setting new mean = 1, and new varriance = 1 import numpy as np import math def normalise(img,new_mean = 1.0,new_variance = 1.0): print("Normalising the image") print("setting new mean = "+str(new_mean)+" and new varriance = "+str(new_variance)) r,c = img.shape mean = np...
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import unittest from photoprism import Client class TestClass(unittest.TestCase): def test_upload(): client = Client() client.upload_photo('20210104_223259.jpg', b'TODO', album_names=['Test Album'])
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# Simulate user activity for Windows # Can trigger Brave Ads import random from time import sleep import pydirectinput import os # clear log function def cls(): os.system('cls' if os.name == 'nt' else 'clear') # main simulate function def simulate(): while True: # u can change x,y with your screen ...
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import pandas as pd import numpy as np import matplotlib.pyplot as plt counties_drop_list = ["Year", "Los Angeles County", "Merced County", "Riverside County", "San Diego County", "San Mateo County", "Santa Barbara County", "Santa Clara County", "Santa Cruz County"] df = pd.read_csv("population_all.csv") df = pd.con...
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# coding: utf-8 import os base_dir = os.path.dirname(os.path.realpath(__file__)) music_dir = os.path.join(base_dir, 'music-3') data_dir = os.path.join(base_dir, 'data-3') weights_dir = os.path.join(data_dir, 'weights') weights_file = os.path.join(weights_dir, 'weights') if not os.path.exists(data_dir): os.maked...
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# -*- coding: utf-8 -*- import pytest from pymarc import Field, Record @pytest.fixture def fake_subfields(): return ["a", "subA", "x", "subX1", "x", "subX2", "z", "subZ."] @pytest.fixture def fake_subjects(fake_subfields): return [ Field(tag="600", indicators=["1", "0"], subfields=fake_subfields)...
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from TOKEN import LexToken class Lexer: def __init__(self,text): self.my_bool = False self.result = '' self.names = { "case" : "CASE", "class" : "CLASS", "else" : "ELSE", "esac" : "ESAC", "fi" : "FI", "if" : "IF", ...
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import pandas as pd import numpy as np import math import matplotlib.pyplot as plt from sklearn import feature_selection as fs from sklearn import naive_bayes from sklearn import model_selection from sklearn import metrics from sklearn import linear_model from sklearn import svm from imblearn.under_sampling import Ne...
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from __future__ import (absolute_import, division, print_function) __metaclass__ = type from pprint import pformat import re from ansible import errors def stringfilter(items, queries, attribute=None): """Filter a `items` list according to a list of `queries`. Values from `items` are kept if they match at l...
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from wireless_msgs.msg import Connection from .translator import Translator, TableTranslatorMixin class ConnectionTranslator(Translator, TableTranslatorMixin): messageType = Connection geomType = Translator.GeomTypes.NoGeometry @staticmethod def translate(msg): # Some forks of wireless_msgs...
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l = ["+", "-"] def backRec(x): for j in l: x.append(j) if consistent(x): if solution(x): solutionFound(x) backRec(x) x.pop() def consistent(s): return len(s) < n def solution(s): summ = list2[0] if not len(s) == n -...
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import numpy as np def sigmoid(X): """sigmoid Compute the sigmoid function Parameters ---------- X: numpy array Output: ------- Numpy array of the same size of X """ return 1/(1+np.exp(-X)) class binary_RBM (): def __init__ (self, q, max_iter=300, batch_size=64, stop_cr...
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''' Anagrams Given two strings, a and b , that may or may not be of the same length, determine the minimum number of character deletions required to make a and b anagrams. Any characters can be deleted from either of the strings. Input : test cases,t two strings a and b, for each test case Output: Desired O/p Cons...
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# Generated by the protocol buffer compiler. DO NOT EDIT! # sources: green.proto # plugin: python-betterproto from dataclasses import dataclass from typing import Dict, List import betterproto from betterproto.grpc.grpclib_server import ServiceBase import grpclib class GreenColors(betterproto.Enum): MOLDY = 0 ...
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"""For each repo in DEPS, git config an appropriate depot-tools.upstream. This will allow git new-branch to set the correct tracking branch. """ import argparse import hashlib import json import os import sys import textwrap import gclient_utils import git_common def _GclientEntriesToString(entries): entries_str ...
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# Copyright (c) 2019, Grégoire Payen de La Garanderie, Durham University # # 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...
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import os import socket import codecs import urllib3 from urllib.parse import urlparse def __process__(command): try: process = os.popen(command) results = str(process.read()) return results except Exception as e: raise e def create_dir(directory): if not os.path.exists(directory): os.makedirs(direct...
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# coding: utf-8 """ Finnhub API No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six fro...
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from collections import defaultdict from typing import List, Any, Tuple from util.helpers import solution_timer from util.input_helper import read_entire_input from util.console import console from year_2019.intcode import IntCode, parse data = read_entire_input(2019,11) def run_robot(data:List[str], init=0): deb...
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# 子弹 import pygame class Life(pygame.sprite.Sprite): def __init__(self, img, init_pos): pygame.sprite.Sprite.__init__(self) self.image = img self.rect = self.image.get_rect() self.rect.topleft = init_pos def update(self): self.kill()
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""" Scrapes OIT's Web Feeds to add courses and sections to database. Procedure: - Get list of departments (3-letter department codes) - Run this: http://etcweb.princeton.edu/webfeeds/courseofferings/?term=current&subject=COS - Parse it for courses, sections, and lecture times (as recurring events) """ from mobileapp...
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''' Created on 13 déc. 2021 @author: slinux ''' import inspect from wxRavenGUI.view import wxRavenAddView from wxRavenGUI.application.wxcustom.CustomDialog import wxRavenCustomDialog import wx import wx.aui import logging from .jobs import * class ViewsManager(object): ''' classdocs ''' parentf...
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#!/usr/bin/env python import datetime import optparse import os import os.path import struct import sys # sudo pip3 install piexif import piexif # Make this negative to subtract time, e.g.: # -datetime.timedelta(hours=5, minutes=9) #TIME_ADJUSTMENT = datetime.timedelta(hours=5, minutes=9) #TIME_ADJUSTMENT = datetim...
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def old(name,age): print(f"my name is {name} and age is {age}") old as new new("pooja",23)
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# Copyright (c) 2017-2021 Neogeo-Technologies. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...
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import os import sys import numpy as np import pandas as pd import tensorflow as tf from losses import focal_loss,weighted_binary_crossentropy from utils import Dataset class DeepFM(object): def __init__(self, params): self.feature_size = params['feature_size'] self.field_size = params['field_size'...
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import numpy as np from math import log from sklearn.linear_model import LogisticRegression from sklearn.metrics import roc_auc_score, mean_squared_error, mean_absolute_error, classification_report from math import sqrt import json from pprint import pprint import argparse parser = argparse.ArgumentParser(f...
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from django.urls import path from .views import ProcessWebHookAPIView urlpatterns = [ path( 'webhook/<hook_id>/', ProcessWebHookAPIView.as_view(), name='hooks-handler' ), ]
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import logging import os from datetime import timedelta from airflow import settings from airflow.hooks.base_hook import BaseHook from airflow.models import DAG from airflow.operators.bash_operator import BashOperator from airflow.utils.dates import days_ago CHECK_INTERVAL = 10 # Sleep time (in seconds) between sy...
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# -*- coding: utf-8 -*- # @Time : 2020/12/23 2:27 PM # @Author : Kevin import config from utils.sentence_process import cut_sentence_by_character from search.sort.word_to_sequence import Word2Sequence import pickle def prepare_dict_model(): lines=open(config.sort_all_file_path,"r").readlines() ws=Word2Se...
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from enum import Enum class BodyPart(Enum): HEAD = 0 BODY = 1 ARMS = 2 WAIST = 3 LEGS = 4 CHARM = 5 class EquipmentPiece: def __init__(self, name, body_part, skills): self.name = name self.body_part = body_part self.skills = skills class ArmourPiece(EquipmentPie...
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# -*- coding: utf-8 -*- # SPDX-License-Identifier: MIT from __future__ import absolute_import, print_function, unicode_literals import os import shutil try: from unittest.mock import MagicMock except ImportError: from mock import MagicMock import uuid from ddt import ddt as DataDrivenTestCase, data as ddt_da...
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# # @lc app=leetcode id=687 lang=python3 # # [687] Longest Univalue Path # # @lc code=start from collections import deque def construct_tree(values): if not values: return None root = TreeNode(values[0]) queue = deque([root]) leng = len(values) nums = 1 while nums < leng: ...
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#!/usr/bin/python3 """Tests for reflinks script.""" # # (C) Pywikibot team, 2014-2022 # # Distributed under the terms of the MIT license. # import unittest from scripts.reflinks import ReferencesRobot, XmlDumpPageGenerator, main from tests import join_xml_data_path from tests.aspects import ScriptMainTestCase, TestCas...
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import asyncio class IOLoop(object): self.event_loop = asyncio.get_event_loop() def __init__(self): pass def start(self): if self._running: raise RuntimeError("IOLoop is already running") if self._stopped: self._stopped = False return
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""" Triangle Challenge Given the perimeter and the area of a triangle, devise a function that returns the length of the sides of all triangles that fit those specifications. The length of the sides must be integers. Sort results in ascending order. triangle(perimeter, area) ➞ [[s1, s2, s3]] Examples triangle(12, 6) ➞ ...
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# -*- coding: utf-8 -*- """ Created on Sun Jul 4 17:01:28 2021 @author: fahim """ from keras.models import Model from keras.layers import Input, Add, Activation, ZeroPadding2D, BatchNormalization, Conv2D, AveragePooling2D, MaxPooling2D from keras.initializers import glorot_uniform def identity_block(X, f, filters, ...
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# block between mission & 6th and howard & 5th in SF. # appears to have lots of buses. # https://www.openstreetmap.org/way/88572932 -- Mission St # https://www.openstreetmap.org/relation/3406710 -- 14X to Daly City # https://www.openstreetmap.org/relation/3406709 -- 14X to Downtown # https://www.openstreetmap.org/relat...
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# -*- coding: utf-8 -*- """Console script for bioinf.""" import sys import click from .sequence import Sequence from .sequence_alignment import NeedlemanWunschSequenceAlignmentAlgorithm from .utils import read_config, read_sequence @click.group() def main(args=None): """Console script for bioinf.""" @main.comm...
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import pytest from package_one.module_one import IntegerAdder @pytest.fixture def adder(): print("Test set-up!") yield IntegerAdder() print("Test tear-down") def test_integer_adder(adder): assert adder.add(1, 2) == 3 """ In case you'd like to declare a fixture that executes only once per module, then...
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from __future__ import unicode_literals import unittest from mopidy.local import json from mopidy.models import Ref class BrowseCacheTest(unittest.TestCase): def setUp(self): self.uris = [b'local:track:foo/bar/song1', b'local:track:foo/bar/song2', b'local:track:...
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# -*- coding: utf-8 -*- # pylint:disable=missing-module-docstring, missing-function-docstring import os from oximachinerunner import OximachineRunner THIS_DIR = os.path.dirname(os.path.realpath(__file__)) def test_oximachine(): runner = OximachineRunner() output = runner.run_oximachine( os.path.join...
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# coding=utf-8 from OTLMOW.OTLModel.Datatypes.KeuzelijstField import KeuzelijstField from OTLMOW.OTLModel.Datatypes.KeuzelijstWaarde import KeuzelijstWaarde # Generated with OTLEnumerationCreator. To modify: extend, do not edit class KlVerlichtingstoestelModelnaam(KeuzelijstField): """De modelnaam van het verlich...
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import UserInterface import surfaceFunction, eventFunction print('Modal library imported') class Modal(UserInterface.UserInterface): def __init__(self,name,size,father, type = None, position = None, text = None, textPosition = None, fontSize = None, scale = None, ...
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#!/usr/bin/env python # encoding: utf-8 """Expand tilde in filenames. """ import os.path for user in ['', 'dhellmann', 'postgres']: lookup = '~' + user print lookup, ':', os.path.expanduser(lookup)
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import string from unittest2 import TestCase import os from hypothesis import given from hypothesis.strategies import text, lists from mock import patch, Mock from githooks import repo class FakeDiffObject(object): def __init__(self, a_path, b_path, new, deleted): self.a_path = a_path self.b_pat...
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class Zoo: def __init__(self, name, locations): self.name = name self.stillActive = True self.locations = locations self.currentLocation = self.locations[1] def changeLocation(self, direction): neighborID = self.currentLocation.neighbors[direction] self.currentLo...
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# -*- coding: utf-8 -*- from hmac import HMAC from hashlib import sha256 import random import logging logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger(__name__) def pbkd(password,salt): """ password must be a string in ascii, for some reasons string of type unicode provokes the follow...
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# Useful tutorial on tensorflow.contrib.data: # https://kratzert.github.io/2017/06/15/example-of-tensorflows-new-input-pipeline.html import glob # Used to generate image filename list import tensorflow as tf def input_parser(image_path, label): """ Convert label to one_hot, read image from file & perform ...
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import os import subprocess import pathlib def reemplazar(string): return string.replace('self.', 'self.w.').replace('Form"', 'self.w.centralWidget"').replace('Form.', 'self.w.centralWidget.').replace('Form)', 'self.w.centralWidget)').replace('"', "'") try: url_archivo = input('Archivo: ').strip().strip('"'...
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import KratosMultiphysics as KM import KratosMultiphysics.HDF5Application.temporal_output_process_factory as output_factory import KratosMultiphysics.HDF5Application.file_utilities as file_utils def Factory(settings, Model): """Return a process for writing simulation results for a single mesh to HDF5. It also ...
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""" This script requires developers to add the following information: 1. add file and function name to srcfiles_srcfuncs 2. add file and directory name to srcdir_srcfiles 3. add expected display name for the function to display_names """ import os import itertools from shutil import copyfile...
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from google.appengine.ext import ndb from google.appengine.ext.ndb import msgprop from entities import BaseEntity from constants import Gender, UserStatus, Device, APIStatus from errors import DataError class User(BaseEntity): name = ndb.StringProperty() mail = ndb.StringProperty() gender = msgprop.EnumPr...
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__all__ = ['Order', 'Item'] from django.db import models from django.contrib.auth import get_user_model from paytm import conf as paytm_conf from paytm.helpers import sha256 class Item(models.Model): price = models.FloatField() name = models.CharField(max_length=255) tag = models.CharField(max_length=255...
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from .models import TFFMClassifier, TFFMRegressor, TFFMRankNet __all__ = ['TFFMClassifier', 'TFFMRegressor', 'TFFMRankNet']
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import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.preprocessing import LabelEncoder import re from sklearn.feature_extraction import DictVectorizer from sklearn.model_selection import train_test_split import pandas as pd from pandas.tseries.holiday import USFederalHolidayCalendar a...
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import sys, unittest, glfw sys.path.insert(0, '..') from OpenGL.GL import * from engine.base.shader import Shader from engine.base.program import * import helper class ProgramTest(unittest.TestCase): @classmethod def setUpClass(cls): cls.window = helper.initAndGetWindow() @classmethod def tear...
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import aiohttp import asyncio # Grab the movie genre in a slightly painful way async def get_genre(movie_title, session): search_string = "+".join(movie_title.split()) url = f'https://www.google.com/search?q={search_string}' async with session.get(url) as resp: html = await resp.text() ...
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# core modules from math import pi # 3rd party modules import matplotlib.pyplot as plt import pandas as pd # internal modules import analysis def main(path): df = analysis.parse_file(path) df = prepare_df(df, grouping=(df['date'].dt.hour)) print(df.reset_index().to_dict(orient='list')) df = pd.DataF...
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from datetime import datetime from threading import Lock from Database import Database class LoggedSensor: """ This is a common base class for all sensors that have data to be stored/logged. """ registered_type_ids = [] def __init__(self, type_id, max_measurements=200, holdoff_time=None): ...
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#!/usr/bin/env python import unittest from algorithms.sets.cartesian_product import cartesian class TestFatorial(unittest.TestCase): def setUp(self): self.set_a = [1, 2] self.set_b = [4, 5] def test_cartesian_product(self): self.assertEqual(cartesian.product(self.set_a, self.set_b),...
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import boto3 from botocore.exceptions import ClientError import gzip import io import os import csv import re class S3Data(object): def __init__(self, bucket_name_, prefix_, file_, df_schema_, compression_type_, check_headers_, file_type_, access_key_=None, secret_key_=None, regi...
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from datetime import datetime import timebomb.models as models def test_Notification(): notif = models.Notification("message") assert notif.content == "message" assert notif.read is False assert str(notif) == "message" def test_Player(): player = models.Player("name", "id") assert player....
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from django.contrib import admin from .models import Tag, Sentence, Review admin.site.register(Tag) class ReviewInline(admin.StackedInline): model = Review extra = 0 readonly_fields = ( 'modified_time', 'last_review_date', ) class SentenceAdmin(admin.ModelAdmin): # docs.djangop...
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""" One off script to Map evidence codes between ECO and GO https://github.com/evidenceontology/evidenceontology/blob/master/gaf-eco-mapping.txt """ import datetime from wikidataintegrator import wdi_core, wdi_login from scheduled_bots.local import WDPASS, WDUSER login = wdi_login.WDLogin(WDUSER, WDPASS) go_evidenc...
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import pytest from django.contrib.auth import get_user_model from emenu.users.tests.factories import UserFactory @pytest.fixture(autouse=True) def media_storage(settings, tmpdir): settings.MEDIA_ROOT = tmpdir.strpath @pytest.fixture def user() -> get_user_model(): # type: ignore return UserFactory()
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from __future__ import unicode_literals import json import numpy as np from builtins import str from abc import ABCMeta, abstractmethod from pychemia import HAS_PYMONGO from pychemia.utils.computing import deep_unicode if HAS_PYMONGO: from pychemia.db import PyChemiaDB class Population: __metaclass__ = ABCMe...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `pynessie` package.""" import pytest import requests_mock import simplejson as json from click.testing import CliRunner from pynessie import __version__ from pynessie import cli from pynessie.model import ReferenceSchema def test_command_line_interface(reque...
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from .request_context import RequestContext from .tracker import ContextTracker from .request import DjangoRequest, FlaskRequest
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import re from django.db.models import Q, Count, Sum, Case, When, IntegerField, Value from iaso.models import OrgUnit, Instance, DataSource def build_org_units_queryset(queryset, params, profile): validation_status = params.get("validation_status", OrgUnit.VALIDATION_VALID) has_instances = params.get("hasIn...
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import pandas as pd import numpy as np import xgboost as xgb from tqdm import tqdm from sklearn.svm import SVC from keras.models import Sequential from keras.layers.recurrent import LSTM, GRU from keras.layers.core import Dense, Activation, Dropout from keras.layers.embeddings import Embedding from keras.layers.normali...
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from django.apps import AppConfig class CbtConfig(AppConfig): name = 'cbt'
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# Code generated by sqlc. DO NOT EDIT. import dataclasses from typing import Optional @dataclasses.dataclass() class Author: id: int name: str bio: Optional[str]
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__version__ = "0.0.1" default_app_config = "wagtail_site_inheritance.apps.WagtailSiteInheritanceAppConfig"
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import os.path import numpy as np def sinc2d(x, y): if x == 0.0 and y == 0.0: return 1.0 elif x == 0.0: return np.sin(y) / y elif y == 0.0: return np.sin(x) / x else: return (np.sin(x) / x) * (np.sin(y) / y) def a(x): return x + 1 def b(x): return 2 * x def c...
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"""Adds a chook to a git repository. Usage: chooks add [--stdin | --argument] [--once | --filter=FILTER...] [--global] [--fatal] [--hook=NAME...] [--name=NAME] [--disabled] [--] <command> [<args>...] Options: --stdin Supply input files to this chook via stdin. --filter=<filt...
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# Copyright 2020 D-Wave Systems Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wri...
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#! /usr/bin/env python # Copyright (c) 2015 William Lees # Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated # documentation files (the "Software"), to deal in the Software without restriction, including without limitation the # rights to use, copy, modify, m...
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from django.db import models from django.utils.translation import ugettext_lazy as _ class Professional(models.Model): # User user = models.OneToOneField('users.User', primary_key=True, related_name='professional', verbose_name=_("User")) class Meta: ordering = ('user__first_name', 'user__last_na...
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import unittest import datetime from weightTrack import WeightNote class TestWeightNote(unittest.TestCase): ### Testing getter methods ### def test_shouldGetWeight(self): testWeight = WeightNote(100, "Ate breakfast") self.assertEqual(testWeight.getWeight(), 100, "Should be 100") # Note:...
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__author__ = 'hhwang'
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# -*- encoding: utf-8 -*- import datetime def formata_data(data): data = datetime.datetime.strptime(data, '%d/%m/%Y').date() return data.strftime("%Y%m%d") def formata_valor(valor): return str("%.2f" % valor).replace(".", "")
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import argparse import torch import syft as sy from syft import WebsocketServerWorker def get_args(): parser = argparse.ArgumentParser(description="Run websocket server worker.") parser.add_argument( "--port", "-p", type=int, default=8777, help="port number of the webso...
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import skimage.io import skvideo.io import os import h5py from sklearn.externals import joblib from sklearn.linear_model import LinearRegression from sklearn.ensemble import RandomForestRegressor from sklearn.metrics import f1_score import scipy.misc import scipy.signal import numpy as np from sporco import util import...
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UNKNOWN = u'' def describe_track(track): """ Prepare a short human-readable Track description. track (mopidy.models.Track): Track to source song data from. """ title = track.name or UNKNOWN # Simple/regular case: normal song (e.g. from Spotify). if track.artists: artist = next(it...
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# This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.7 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info if version_info >= (2, 6, 0): def swig_import_helper(): from os.path imp...
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#!/usr/bin/env python """ generated source for module Test_CanonicalJSON """ # package: org.ggp.base.util.crypto import junit.framework.TestCase import org.ggp.base.util.crypto.CanonicalJSON.CanonicalizationStrategy # # * Unit tests for the CanonicalJSON class, which provides a # * standard way for GGP systems t...
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# -*- coding: utf-8 -*- class Tile(int): TILES = ''' 1s 2s 3s 4s 5s 6s 7s 8s 9s 1p 2p 3p 4p 5p 6p 7p 8p 9p 1m 2m 3m 4m 5m 6m 7m 8m 9m ew sw ww nw wd gd rd '''.split() def as_data(self): return self.TILES[self // 4] class TilesConverter(object): @stat...
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import garm.indicators as gari import ham.time_utils as hamt import ohlcv import luigi import strategies as chs from luigi.util import inherits @inherits(chs.Strategy) class BuyAndHold(chs.Strategy): FN = gari.buy_and_hold_signals def requires(self): for m in hamt.months(self.start_date, self.end_da...
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from py2api.constants import TRANS_NOT_FOUND, _OUTPUT_TRANS, _ATTR, _VALTYPE, _ELSE class OutputTrans(object): """ OutputTrans allows to flexibly define a callable object to convert the output of a function or method. For more information, see InputTrans """ def __init__(self, trans_spec=None): ...
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import pytesseract import os import time import requests import json from PIL import Image,ImageFont,ImageDraw # 读取配置文件 with open('config.json') as json_file: config = json.load(json_file) # 默认的文件保存的目录 MAIN_PATH = './imageApi/image/' # FONT,用于将文字渲染成图片 FONT = config['font'] def strToImg(text,mainPath): ''' ...
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#!/usr/bin/env python3 # url: http://www.pythonchallenge.com/pc/return/5808.html import requests import io import PIL.Image url = 'http://www.pythonchallenge.com/pc/return/cave.jpg' un = 'huge' pw = 'file' auth = un, pw req = requests.get(url, auth=auth) img_io = io.BytesIO(req.content) img = PIL.Image.open(img_io) ...
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# coding: utf-8 # ### Open using Databricks Platform/Py-spark. It holds the code for developing the RandomForest Classifier on the chosen subset of important features. # In[1]: import os, sys import pandas as pd import numpy as np from sklearn.metrics import matthews_corrcoef import pyspark from numpy import array...
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#!/usr/bin/env python3 # coding=utf-8 import os as os import sys as sys import io as io import traceback as trb import argparse as argp import gzip as gz import operator as op import functools as fnt def parse_command_line(): """ :return: """ parser = argp.ArgumentParser() parser.add_argument('--...
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#-*- coding: utf-8 -*- from django.db import models # Create your models here. class Feature(models.Model): day = models.SmallIntegerField() month = models.SmallIntegerField() year = models.SmallIntegerField() momentum = models.FloatField( null=True, blank=True) day5disparity = models.Flo...
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