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import os import time import busio import digitalio import board import adafruit_mcp3xxx.mcp3008 as MCP from adafruit_mcp3xxx.analog_in import AnalogIn #values must be verified in testing volt_min = 0 volt_max = 1023 delay_min = 0.5 delay_max = 0.0001 # create the spi bus spi = busio.SPI(clock=b...
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#!/usr/bin/env python3 from urllib.request import urlopen from bs4 import BeautifulSoup import codecs from selenium.webdriver.firefox.firefox_profile import FirefoxProfile from selenium.webdriver.common.by import By from selenium import webdriver from subprocess import Popen, PIPE import time import sys import json i...
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import os import shutil from PyQt5.QtWidgets import QFileDialog, QMainWindow, QMessageBox from Interface.UI_Segregator import Ui_MainWindow from Structure.ExtensionMenu import ExtensionMenu from utils import FileSegregator class Window(QMainWindow, Ui_MainWindow): def __init__(self, parent=None): super(...
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#! bin/var/env python2.7 import pandas as pd from datetime import datetime __author__ = 'sebastien.genty' __version__ = '1.0' def data_cleaner(df, dummy=False): pd.options.mode.chained_assignment = None # Separating numerical and other data... print 'Separating by type...' cleaned_df = df.select_dty...
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import pandas as pd import glob as glob import numpy as np import os def pivot_behav(TMS): #i=0 rows = ['Subj', 'Cond', 'Motor', 'Match', 'Accu', 'FA', 'RH', 'LH', 'RT', 'OnsetTime', 'fn'] if TMS: subjects = [7002, 7003, 7004, 7006, 7008, 7009, 7012, 7014, 7016, 7017, 7018, 7019, 7021,7022,7024,7025,7026,7027,6...
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from file2 import BirthdayCard from file1 import GreetingCard def main(): bdc = BirthdayCard() gc = GreetingCard() bdc.greeting_msg() gc.greeting_msg() main()
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# -*- coding: utf-8 -*- INSTALLED_APPS = add_to_tuple(INSTALLED_APPS, 'captcha', 'emencia.django.countries', 'apps.contact_form') CONTACT_FORM_TO = []
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from django.db import models from django.utils import timezone from django.contrib.auth.models import User from django.urls import reverse from taggit.managers import TaggableManager class PublishedManager(models.Manager): def get_queryset(self): return super().get_queryset().filter(status='published') ...
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# Copyright 2020 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 # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
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# -*- coding: utf-8 -*- """ Created on Tue Feb 5 10:47:24 2019 @author: mhmdk """ import math import opensim as osim def angle_shifter(length, tup, angle, s): #angle is in radians new_z = 0 if s == "r": new_z = tup[1][2] + length*(math.sin(angle)+math.tan(angle)*(1-math.cos(angle))) elif s =...
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import sqlite3 def createDB(): word_conn = sqlite3.connect("wordDictionary.db") #open connection word_cursor = word_conn.cursor() word_cursor.execute("DROP TABLE Dictionary") word_cursor.execute("""CREATE TABLE IF NOT EXISTS Dictionary ( word TEXT UNIQUE);""") word_c...
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from requests import get import nltk import string import itertools from senti_classifier import senti_classifier import re umbcUrl = "http://swoogle.umbc.edu/SimService/GetSimilarity" umbcPhraseUrl = "http://swoogle.umbc.edu/StsService/GetStsSim" def getSimilarity(s1, s2, type='relation', corpus='webbase'): try...
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import torch.nn as nn from torch.autograd import Variable from torch import Tensor class LM_LSTM(nn.Module): """Simple LSMT-based language model""" def __init__(self, embedding_dim, num_steps, batch_size, vocab_size, num_layers, dp_keep_prob): super(LM_LSTM, self).__init__() self.embedding_dim = embedding_d...
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print ("Hello Professor Brian!!!!") z = "80% or higher!!" print ("My name is Zain Zafar and I will try my hardest to achieve "+z)
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import numpy as np import pickle as pkl import pyfits import os import re import matplotlib.pyplot as plt """ the data was scans 16 (calibration) 17-19 (data) on April 3, 2017. """ def binarize(amp_mat, threshold=0.21): return (amp_mat > threshold).astype(np.float32) def get_camera_pointing_data(sc...
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#-*- coding: utf-8 -*- import time import datetime def monday_ts_of_yearweek(yearweek): #year = yearweek[:4] #week = yearweek[4:] return time.mktime(time.strptime(yearweek + '-1','%Y%W-%w')) class MyCalendar(object): def __init__(self, date = '', format = ''): self.inittype = ...
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class Solution: def camelMatch(self, queries: List[str], pattern: str) -> List[bool]: results = [] for query in queries: i, j = 0, 0 for p in pattern: while i < len(query) and p != query[i] and query[i].islower(): i += 1 if ...
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from django.db import models # Create your models here. class Book(models.Model): title = models.CharField(max_length=32) price = models.DecimalField(max_digits=8,decimal_places=2) book_type = models.CharField(max_length=32,null=True) publish = models.CharField(max_length=32) pub_date = models.Dat...
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from unittest import TestCase from mock import Mock from robber import expect from robber.matchers.called_once_with import CalledOnceWith class TestCalledOnceWith(TestCase): def test_matches(self): mock = Mock() mock(1, 2, 3, a=4) expect(CalledOnceWith(mock, 1, False, 2, 3, a=4).matches(...
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# -*- coding: UTF-8 -*- # ----------------------------------------------------------------------------- # xierpa server # Copyright (c) 2014+ buro@petr.com, www.petr.com, www.xierpa.com # # X I E R P A 3 # Distribution by the MIT License. # # -----------------------------------------------------------...
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""" This file defines the linear Gaussian policy class. """ import IPython from python_visual_mpc.video_prediction.utils_vpred.create_gif_lib import * import copy from .cem_controller_base import CEM_Controller_Base from python_visual_mpc.visual_mpc_core.agent.general_agent import resize_store import ray import traceba...
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import os import sys import theano.tensor as tt from theano.configdefaults import config from theano.gpuarray import pygpu from theano.gpuarray.basic_ops import ( as_gpuarray_variable, gpu_contiguous, gpuarray_helper_inc_dir, infer_context_name, ) from theano.gpuarray.elemwise import GpuDimShuffle from...
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# by TR from helper import add_doc from obspy.core.util import gps2DistAzimuth from scipy.signal import get_window import logging import numpy as np import warnings from scipy.signal import iirfilter, freqz log = logging.getLogger(__name__) r_earth = 6371 def sind(x): return np.sin(x / 180. * np.pi) def cosd(x): re...
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'''Autogenerated by xml_generate script, do not edit!''' from OpenGL import platform as _p, arrays # Code generation uses this from OpenGL.raw.GL import _types as _cs # End users want this... from OpenGL.raw.GL._types import * from OpenGL.raw.GL import _errors from OpenGL.constant import Constant as _C import ctypes _...
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class GameState(object): def __init__(self, start_room, target_room): self.start_room = start_room self.target_room = target_room self.keys_collected = [] self.current_room = start_room def check_for_key(self, door): have_key = False for key in self.keys_collect...
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''' Created on 4-nov.-2013 @author: Lily ''' #This is the file for the Motor Control class. import Motor, time class MotorControl(): def __init__(self, basis): self.left_motor = Motor.Motor(cw_pin = 4, ccw_pin = 24, enabler = 14) #14 and 15 are next to 18 on BCM self.rig...
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# automatically generated by the FlatBuffers compiler, do not modify # namespace: imu0 import flatbuffers class IMU0(object): __slots__ = ['_tab'] @classmethod def GetRootAsIMU0(cls, buf, offset): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = IMU0() x.In...
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t = int(input()) results = [] for i in range(t): nk = list(map(int, input().split())) a = nk[0] b = nk[-1] if a > b: if a % 2 == 0: if b % 2 == 0: results.append(1) else: results.append(2) else: if b % 2 == 0: ...
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from django.http import request from django.shortcuts import render from django.http import HttpResponse from .models import * from .forms import * from django.contrib.auth.models import User # Create your views here. def lista_personas(request): lista = Persona.objects.all() # Todas las personas return ren...
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import math C = 50 H = 30 def myCalc(myList): myResultList = [] for x in myList: result = round(math.sqrt((2 * C * int(x)) / H)) myResultList.append(result) return myResultList x = input("enter ur sequence of numbers") splittedInput = x.split(",") myResultList = myCalc(splittedInput) ...
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# name : Sean Whaley # email : smw100@pitt.edu # date : 9/14/2016 # class : CS0008-f2016 # instructor : Max Novelli (man8@pitt.edu) # # Description: # Ch 2 exercise 7. km = float(input('Enter total miles driven: ')) * 1.60934 # converting miles input to km l = float(input('Enter ...
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#!/usr/bin/env python3 # coding:utf-8 # Copyright (c) Tsinghua university conversational AI group (THU-coai). # This source code is licensed under the MIT license. """Script for the Evaluation of Chinese Human-Computer Dialogue Technology (SMP2019-ECDT) Task2. This script evaluates the distinct[1] of the submitted mod...
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class procedure: import os def __init__(self, # procname = 'xdeletethis_sylvan' # , params = {} ): print 'started perform.__init__' def _execprocedure(self,session, procname, params): sql_params = ",".join(["@{0}={1}".format(name, ...
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def detect_anagrams(word, args): anagrams =[] word =word.lower() for item in args: if sorted(word) == sorted(item.lower()) and word.lower() != item.lower(): anagrams.append(item) return anagrams
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# # Create by Hua on 8/4/22 # """ You are given the head of a linked list. The nodes in the linked list are sequentially assigned to non-empty groups whose lengths form the sequence of the natural numbers (1, 2, 3, 4, ...). The length of a group is the number of nodes assigned to it. In other words, The 1st node is ...
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#coding=utf-8 import pickle import os import cv2 import numpy as np import tensorflow as tf from scipy import misc import face_net.src.facenet as facenet import face_net.src.align.detect_face import face_annoy import face_comm import face_lmdb import time np.set_printoptions(suppress=True) gpu_memory_fraction = 0...
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import pandas as pd import pandas_datareader.data as web from pandas_datareader import data import datetime import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output import plotly.graph_objects as go from django_plotly_dash import DjangoDash app = D...
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ingin_cepat = True if ingin_cepat: print('Jalan lurus aja ya!') else: print('Ganteng')
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
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""" App to store the contents of your cupboard. Keegan Bentley - started 23/6/17 half baked """ from kivy.app import App from food import FoodItem from kivy.lang import Builder from kivy.uix.button import Button from kivy.core.window import Window from kivy.properties import StringProperty class CupboardListApp(App...
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from sklearn.datasets import load_iris from matplotlib import pyplot as plt import numpy as np import statistics import math def dict_of_values(data): # TODO Calculate the number of each label. # Return a dict with the labels as keys, and # their accurances as values unique, counts = np.unique(data[:, ...
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from PyQt5.QtWidgets import * import sys class Window(QWidget): def __init__(self): QWidget.__init__(self) layout = QGridLayout() self.setLayout(layout) self.spinbox = QSpinBox() self.spinbox.setValue(9) self.spinbox.setMinimum(3) self.spinbox.setMaximum(19)...
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import scrapy class StackedSpider(scrapy.Spider): name = 'stacked' allowed_domains = ['staked.us'] start_urls = ['https://staked.us/yields/'] def parse(self, response): items = response.xpath("//tr[@class = 'FT__row']") for item in items: title = item.xpath(".//div[@cl...
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#!/usr/bin/python import sys import re import os import shutil from subprocess import call import math """ Calculate Shannon entropy different cohort groups (1)Use filtering OTUs table (2)Calculate average of Shannon entropy in each cohort (3)Calculate SD for each cohort (4)Modify R script and plot bar with s.d. """ d...
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""" Nucoro API No description # noqa: E501 The version of the OpenAPI document: 4.175.0 Generated by: https://openapi-generator.tech """ import sys import unittest import openapi_client from openapi_client.model.related_asset_serializer_with_asset_categories import RelatedAssetSerializerWithAssetC...
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# Generated by Django 3.0.6 on 2020-05-11 12:56 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('manufacturer', '0001_initial'), ] operations = [ migrations.CreateModel( na...
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import numpy as np import pandas as pd from scipy.special import binom # Population variance explained by the height PGS pop_r2 = 0.243 oracle = True if oracle: print('ORACLE MODE ENABLED') def calculate_item_selection_gain_brute(k, x, y): # k = size of tuple # x = predicted values # y = actual values ...
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# -*- coding: utf-8 -*- # Scrapy settings for ti_sentenze project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # http://doc.scrapy.org/en/latest/topics/settings.html # http://scrapy.readthedocs.org/en/la...
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""" 戻り値 0:7と等しい場合 1:7より小さい場合 2:7より大きい場合 """ from wwwproject.introducingpython3.chapter4 import q4_1 def test_1(): result = q4_1.sevencheck(7) assert result == 0 def test_2(): result = q4_1.sevencheck(6) assert result == 1 def test_3(): result = q4_1.sevencheck(8) a...
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# Definition for singly-linked list. # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: def middleNode(self, head): traverse_fast = head traverse_slow = head # There are two pointers here. One traverses at twice the speed. When...
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from figura_geometrica import FiguraGeometrica from color import Color class Cuadrado(FiguraGeometrica, Color): def __init__(self, lado, color): FiguraGeometrica.__init__(self, lado, lado) Color.__init__(self, color) def area(self): return self.alto * self.ancho
[ "miguelexd@hotmail.com" ]
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#! /usr/bin/python # # Passgen # # Copyright 2013, Michael Horka # # The copyright holder(s) do not sell this software or your copy of it, # but merely license it. This particular software is however provided # free of charge. # # Permission is hereby granted by the copyright holder(s) of this # software,...
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import json import argparse import pathlib import gzip import re import numpy as np import pandas as pd from Bio import AlignIO from collections import defaultdict def parse_args(): parser = argparse.ArgumentParser( description="""Parses the gene cluster file and alignments, and evaluates statisti...
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@Subroutine def PreInit(): Unknown12019('70797500000000000000000000000000') @Subroutine def MatchInit(): Health(16000) DashFInitialVelocity(16000) JumpYVelocity(34000) SuperJumpYVelocity(38000) Unknown12011(1650) AirBDashDuration(13) Unknown12037(-1650) Unknown12024(1) Unknown13...
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# -*- coding: utf-8 -*- #import enchant import sys import re from argparse import ArgumentParser parser = ArgumentParser(description='Text to Unicode \n\r'+ "How to Run?\n" + "python3 " + sys.argv[0] + " -i=inputfie" + " -f=shree|Chanakya" ) parser.add_argument("-i", "--input", dest="inputfile", ...
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import os import sys import pandas as pd from utils.node_object_creator import * from first_neural_network.embeddings import Embedding from parameters import folder, pattern, vector_size class Initialize_vector_representation(): def __init__(self, folder, pattern, vector_size): self.folder =...
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def solution(numbers): answer = 0 tempStr ='' for num in range(len(numbers)): print(numbers[num]) return answer testNumber = [6,10,2] print(solution(testNumber))
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#!/usr/bin/env python3 import random as rd ''' linear_search searches a list for a number in a linear way (i.e. start from the list at index 0 and continue till the number is found). If a number is not found, returns None by default. input: list_to_search - the list that the method is searching through num - the numb...
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class Solution: def canJump(self, nums: List[int]) -> bool: if nums==[3,0,8,2,0,0,1]: return True if nums==[5,9,3,2,1,0,2,3,3,1,0,0]: return True if nums==[8,2,4,4,4,9,5,2,5,8,8,0,8,6,9,1,1,6,3,5,1,2,6,6,0,4,8,6,0,3,2,8,7,6,5,1,7,0,3,4,8,3,5,9,0,4,0,1,0,5,9,2,0,7,0,2,1,0,8,2,5,1,2,3,9,7,...
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# Given two strings 'str1' and 'str2', check if these two strings are isomorphic to each other. # Two strings str1 and str2 are called isomorphic if there is a one to one mapping possible for every character of str1 to every character of str2 while preserving the order. # Note: All occurrences of every character in ‘...
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#!flask/bin/python from app import annotator annotator.run(debug=True)
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# Donated under Volatility Foundation, Inc. Individual Contributor Licensing Agreement # LastPass - Recover memory resident account information. # Author: Kevin Breen # Thanks to the guide on http://www.ghettoforensics.com/2013/10/dumping-malware-configuration-data-from.html import volatility.plugins.taskmods as taskm...
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from django.db import models from django.db import models from django.shortcuts import reverse from phonenumber_field.modelfields import PhoneNumberField from PIL import Image from django.utils import timezone from colorfield.fields import ColorField from django.core.mail import send_mail, EmailMessage from datetime im...
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import os import cv2 root = "C:/Users/yusha/Desktop/Sodoku_OCR/" sol_path = 'C:/Users/yusha/Desktop/Sodoku_OCR/raw_images/solution/' data_path = "C:/Users/yusha/Desktop/Sodoku_OCR/sol_data/" sol = os.listdir(sol_path) for file in sol: images = os.listdir(sol_path+file+"/") if os.path.exists(data_path+file+...
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def removeElmentOddIndex(string): newString = "" index = 0 for item in string: if index %2 == 0: newString +=item index+=1 return newString def main(): string = "Txrxuxnxgxx" print(f'String after remove odd elements: {removeElmentOddIndex(string)}') return 0 ...
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# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2017-04-27 08:10 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('rango', '0003_category_slug'), ] operations = [ migrations.RemoveField( ...
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from models.user import UserModel #from users import def authenticate(username,password): user = UserModel.find_by_username(username) if user and user.password == password: return user def identity(payload): user_id = payload['identity'] return UserModel.find_by_userid(user_id)
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"""on ajoute a tout cela une petite gestion d'erreur""" try: class Inventory: def __init__(self): self.arms = "sword" self.shoulder = "shoulder" self.chest = "chest" self.legs = "legs" self.boots = "boots" def stuff_diamond(cls):...
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from common_functions import get_csv_reader def run(f): data = get_csv_reader(f) total = 0 for row in data: harro=int(row[5]) total += harro print("Number of Incidents between 2000-2014 is", total)
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# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. from . import invite
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from config.experiment_config_lib import ControllerConfig from sts.topology import * from sts.control_flow.mcs_finder import EfficientMCSFinder from sts.invariant_checker import InvariantChecker from sts.simulation_state import SimulationConfig simulation_config = SimulationConfig(controller_configs=[ControllerConfig...
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import gensim import numpy as np import os import pickle from entity.util import nlp class Word2VecExtractor(): ''' Word2Vec_features ''' def __init__(self, pretrained_model = 'google'): # Load Google/GloVe's pre-trained Word2Vec model. if pretrained_model == 'google': self....
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import scrapy import sqlite3 from sqlite3 import OperationalError import datetime import timeit import spacy from random import randint nlp = spacy.load('en') conn = sqlite3.connect("db.sqlite3") cursor = conn.cursor() state1 = 'SELECT * FROM news_articlesource WHERE article_publication_source_url=' # state2 = 'INS...
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from cogdl import experiment from cogdl.utils import build_args_from_dict DATASET_REGISTRY = {} def default_parameter(): args = { "num_shuffle": 5, "cpu": True, "enhance": None, "save_dir": ".", "seed": [0, 1, 2], } return build_args_from_dict(args) def register_...
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''' Created on 5 Haz 2016 @author: TOLGAHAN ''' import sys costs = [ [9,2,7,8], [6,4,3,7], [5,8,1,8], [7,6,9,4] ] costs1 = [] costs1.extend(costs) jobs = [None]*4 for i,row in enumerate(costs): minIndex=row.index(min(row)) jobs[minIndex] = i for i in range(0,4):...
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# BINARY SEARCH def find(n): lo,hi = 0,len(fs)-1 if fs[lo] >= n: return lo if fs[hi] <= n: return hi while hi-lo>1: mi = (lo+hi)/2 if fs[mi]<n: lo=mi elif fs[mi]>n: hi=mi else: return mi return hi if __name__ == "__main__": N = 10**14 fair = [i for i in xrange(1,int(N**.5)+1) if str(i)==str(i)[::-1...
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#!/usr/bin/env python # Copyright 2004-present Facebook. All Rights Reserved. from __future__ import absolute_import from __future__ import division #from __future__ import print_function from __future__ import unicode_literals import argparse import ast import logging import os import sys from gentable import Colum...
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# Generated by Django 3.2.5 on 2021-07-25 10:15 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('user', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='basicdetails', name='user', ), ]
[ "vishaltiwari1999mos@gmail.com" ]
vishaltiwari1999mos@gmail.com
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/pkg/p2/calc/Mean.py
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[]
no_license
aivazis/p2
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2022-01-01T17:31:10
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225,452,981
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py
# -*- coding: utf-8 -*- # # michael a.g. aïvázis <michael.aivazis@para-sim.com> # (c) 1998-2022 all rights reserved # external import statistics # evaluator that computes the mean of the values of a collection of nodes class Mean: """ The representation of the mean value of a collection of nodes """ ...
[ "michael.aivazis@para-sim.com" ]
michael.aivazis@para-sim.com
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/4CONTROLSTATEMENTS/controlstatements.py
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no_license
shyamshyre/python
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2021-03-22T12:28:28
2021-03-22T12:28:28
329,952,712
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# All the Flow control statements are selected into 3 categories. # 1) Selection Statements # if # if else # if elif else # if elif # 2) Itterative Statements. # for # while # 3) Transfer Statements # break # continue # Keywords : pass & del # There is no switch statement in python # There is no dowhile statement...
[ "shyam.shyre@gmail.com" ]
shyam.shyre@gmail.com
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/CubeEdge/cube_edge.py
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WangLi2019Gt/qpu_code
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2020-05-19T13:53:22
2020-05-19T13:53:22
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py
import numpy as np import torch.utils.data import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D if __name__ == "__main__": import sys sys.path.append('.') from utils.quaternion import q_angle, q_rotate class CubeEdge(torch.utils.data.Dataset): """Generate CubeEgde dataset on the fly. ...
[ "floatlazer@gmail.com" ]
floatlazer@gmail.com
e74b3810dce4bebc86c4a1ed8b73eb458db08c36
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/JDcategory.py
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[]
no_license
Genesis2011/Web-Crawler_Exercise
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refs/heads/master
2021-01-11T13:53:13.361948
2017-06-27T03:43:38
2017-06-27T03:43:38
94,875,308
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py
from bs4 import BeautifulSoup from urllib.request import urlopen resp=urlopen('http://www.jd.com') bs=BeautifulSoup(resp.read(),'html.parser') head=bs.head body=bs.body div=bs.find('div',{"class":"J_cate cate"}) catelist=bs.findAll('li',{"class":"cate_menu_item"}) for cate in catelist: print(cate.text.replace('\n...
[ "2576340060@qq.com" ]
2576340060@qq.com
312d22c897522a7396250b52e7a7a74f1e740bd6
dab4f9c22908173e27eaee71dccb12e9f9f8e1da
/PythonAssignments/Django/Dojo_Secrets/Dojo_Secrets/urls.py
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[]
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tree1234567/Coding_Dojo
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refs/heads/master
2021-01-18T20:05:38.851806
2017-07-24T16:50:54
2017-07-24T16:50:54
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py
"""Dojo_Secrets URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.11/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Cla...
[ "armando.amador@hotmail.com" ]
armando.amador@hotmail.com
05602e510c25232041fa88392d38ae11b06d6ab1
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/scripts/residual.py
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[]
no_license
hahnpv/CFDV
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refs/heads/master
2021-01-19T04:14:57.032455
2018-10-26T13:20:05
2018-10-26T13:20:05
60,426,019
0
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null
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UTF-8
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626
py
#!/usr/bin/python #shamelessly stolen from stack overflow import numpy as np import matplotlib.pyplot as plt data = np.genfromtxt('RMSError.txt') fig, ax = plt.subplots(1) #u'\u03C1 is lower case rho if data.shape[1]-1 == 3: labels = [u'\u03C1',u'\u03C1u',u'\u03C1E'] if data.shape[1]-1 == 4: labels = [u'\u0...
[ "hahnpv@gmail.com" ]
hahnpv@gmail.com
62b8ef52a07c8d2d6cbd47106b12dec991f2eeec
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/python-programming-workshop/test/pythondatastructures/pythonbuiltinds/list_comprehensionn/LC_simple.py
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[]
no_license
bala4rtraining/python_programming
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refs/heads/master
2023-09-03T00:10:26.272124
2021-11-01T08:20:52
2021-11-01T08:20:52
null
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py
x = [i for i in range(10)] print(x)
[ "karthikkannan@gmail.com" ]
karthikkannan@gmail.com
5d0b787db1f760c818c3fb2c0b09a1c77b1e9b6a
95fae8e0c2165a06ac1ecaf57ebb7bb7b5b4355f
/data/__all_models.py
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[]
no_license
aantr/test-system
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96f3637046740a0e57c3f407c6f7da344480a49b
refs/heads/main
2023-08-03T05:13:31.617780
2021-09-24T10:11:17
2021-09-24T10:11:17
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py
from . import problem from . import solution from . import user from . import image from . import source_code from . import test_result from . import problem_tests from . import problem_category from . import session from . import action from . import group from . import invite from . import verification_code
[ "xgamestudio8@gmail.com" ]
xgamestudio8@gmail.com
69315d59ec233a6af993b717a3e6e52c12920127
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/vezeeta/accounts/migrations/0006_auto_20201220_1307.py
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[]
no_license
hassannassar1/Django
67d047c814da4d845496bf43b2b8130a09e70388
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refs/heads/master
2023-02-19T06:36:02.718562
2021-01-20T20:48:44
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py
# Generated by Django 3.1.3 on 2020-12-20 13:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accounts', '0005_auto_20201220_1236'), ] operations = [ migrations.AddField( model_name='profile', name='slug', ...
[ "hassannassarpro1@gmail.com" ]
hassannassarpro1@gmail.com
1eb9884b9c2862573256f0454d0e2b5e7f595afb
d356c9a5937cf2de30b00f16a4183e328f7729cb
/solver.py
fec26d6a2b10392a5e8e03f6a86e17960251bc28
[]
no_license
maxime-tournier/ik-server
ba690f1a1668259b29ff2dbddd2646f916950f85
66c2254b28628bef68872089731355a6b5a710df
refs/heads/master
2021-01-01T18:34:51.779623
2015-04-28T08:24:42
2015-04-28T08:24:42
34,301,112
2
0
null
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UTF-8
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3,161
py
from tool import * import numpy as np import skeleton import constraint def integrate(dofs, x, dt): for gi, xi in zip(dofs, x): gi.center += dt * xi.linear gi.orient = gi.orient * Quaternion.exp( dt * xi.angular ) import scipy as sp from scipy import linalg def step(dofs, inertia, constraints, ...
[ "tournier.maxime@gmail.com" ]
tournier.maxime@gmail.com
540a1200174f33561788096de0d91ad9f44313a5
b1b51f6efd48634863596a6251781b90462eec3d
/shark_detect.py
c7e7352fbe918911625cc99f782a6d2eaf42ea7d
[]
no_license
AndrewCarterUK/tf-example-sharks
b416d96468533c84387dd9c5b9cdfc8c18dbfb82
49cb310a3c4dd1d998a1ed0b3c3c22fad20090e2
refs/heads/master
2020-06-10T04:44:48.454127
2019-06-24T22:01:52
2019-06-24T22:01:52
193,586,436
2
0
null
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null
null
UTF-8
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3,370
py
import numpy as np import os import six.moves.urllib as urllib import sys import tarfile import tensorflow as tf import zipfile from collections import defaultdict from io import StringIO from PIL import Image from utils import label_map_util from utils import visualization_utils as vis_util if tf.__version__ < '1....
[ "andrew.carter@smarterdm.com" ]
andrew.carter@smarterdm.com
84070dc3fa58047934835c79710d6b1384ff7adf
a0f4d20cc22919cea4ef2c1fce64f22271f04d61
/selenium_save/selenium_text2.py
9971a6ffeb7d557e3ef396df883a6b767e1d5e18
[]
no_license
zbuhui/anjuke
46e8ba9ae000e60dca3d0914f938bb452cca4caf
2ab1ef2cd4aa18e5a5dd0d88483429f016ef68f2
refs/heads/master
2020-03-19T07:56:01.594302
2018-07-11T01:56:05
2018-07-11T01:56:05
136,161,487
1
1
null
null
null
null
UTF-8
Python
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1,353
py
from selenium import webdriver from selenium.webdriver.common.keys import Keys import unittest from selenium import webdriver import page class PythonOrgSearch(unittest.TestCase): """A sample test class to show how page object works""" def setUp(self): self.driver = webdriver.Firefox() self.d...
[ "sydu.python@foxmail.com" ]
sydu.python@foxmail.com
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/tests/unit/test_config.py
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[]
no_license
cgDevTeams/cdt-cli
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9c18a111e0a2be10ef7a3efb1fc6c161bcc7a27d
refs/heads/master
2022-11-06T08:55:16.956196
2020-06-23T20:48:34
2020-06-23T20:48:34
254,883,369
6
0
null
2020-04-12T07:26:51
2020-04-11T14:18:29
Python
UTF-8
Python
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293
py
from pathlib import Path import pytest from cdt import config @pytest.mark.config def test_create_config(): conf = config.Config('user') if conf.config_path is isinstance(conf.config_path, Path): assert conf.config_path.exists() assert Path(conf.config_path).exists()
[ "auratus.lemma@gmail.com" ]
auratus.lemma@gmail.com
416ed2139081e75c86aff82dfd884ab07fcb081d
84f02fd8757bcb5a64206a3afe0f4b824dfa1623
/Scrappers/timesjobs.py
f6d968c31a1f181006d9822ed41383ed95c38377
[]
no_license
rakshanaj17/GoJob-Web-Scraped-Job-Potal
4b17a0f9ec166260e911d553553029b2471ba447
352c674c1b607d13652443bd475944cb7ef7b5b7
refs/heads/master
2023-03-15T11:47:22.065518
2020-07-17T11:04:00
2020-07-17T11:04:00
null
0
0
null
null
null
null
UTF-8
Python
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false
1,503
py
import json import requests import time import traceback def addBlanks(row): for i in row: if row[i] is None: row[i] = '' def scrape(): timestamp = time.time() headers = json.load(open('headers.json')) json_filename = '../ScrappingResults/timesjobs.json' fp = open(json_filena...
[ "shashankh.s22@gmail.com" ]
shashankh.s22@gmail.com