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import numpy as np import cv2 def detectAndDisplay(frame) : frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) frame_gray = cv2.equalizeHist(frame_gray) faces = face_cascade.detectMultiScale(frame_gray) for (x,y,w,h) in faces : center = (x + w//2 , y + h //2 ) frame = cv2.rectangle(...
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with open('./input.txt') as f: d = f.readline().split() d = [int(i) for i in d] #test = [2,3,0,3,10,11,12,1,1,0,1,99,2,1,1,2] def get(tree): #print(tree) if not tree[0]: # print('base ', tree[2:tree[1]+2]) return (2 + tree[1], tree[2:tree[1]+2]) # skiplen, meta else: skiple...
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import os import numpy as np import keras import glob from random import randint, shuffle from keras.utils import to_categorical import cv2 from sklearn.preprocessing import LabelEncoder os.environ['KERAS_BACKEND'] = 'tensorflow' seed = 8 np.random.seed(seed) class DataGenerator(keras.utils.Sequence): def __in...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals import sys # Weird encoding python2 hack :'( if sys.version_info < (3,0): reload(sys) sys.setdefaultencoding('utf8') from decimal import Decimal default_app_config = 'places.apps.PlacesConfig' __version__ = '2.0.0' class Places(object): ...
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#!/usr/bin/env python from scraping import Scraping from datetime import datetime from lib.analyze import Analyze from joblib import Parallel, delayed def main(): providers = [ 'naver', ] """スクレイピングした内容をテーブルに保存する""" # Parallel(n_jobs=1, verbose=0)([ # delayed(Scraping.run)(Scraping(),...
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import librosa import numpy as np import tensorflow as tf from pydub import AudioSegment from keras.models import load_model import os model_rep = load_model('/home/mansi/anaconda3/beproject/stutter_det/models/best_model_rep.h5') model_pro = load_model('/home/mansi/anaconda3/beproject/stutter_det/models/best_model_pro...
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#!/Users/macbook/Documents/CalHacks/flaskr/venv/bin/python # -*- coding: utf-8 -*- import re import sys from flask.cli import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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import os import random from easydict import EasyDict as edict import json import logging import sys import torch.backends.cudnn as cudnn import torch.utils.data from config import get_config from lib.data_loaders import make_data_loader from trainer import BlindPnPTrainer # logging ch = logging.StreamHandler(sys.std...
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""" Copyright 2014 Rackspace 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, software dist...
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import numpy as np # Implements parts of the analytical transmission line models found in # "Irreversible Thermodynamics and Impedance Spectroscopy of Multilayer Membranes" - E. Zholkovskij # http://dx.doi.org/10.1006/jcis.1995.1034 def tanh(x): np.seterr(all='raise') try: y = np.tanh(x) except: ...
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# Django settings for contactx_web project. DEBUG = True TEMPLATE_DEBUG = DEBUG ADMINS = ( # ('Your Name', 'your_email@example.com'), ) MANAGERS = ADMINS DATABASES = { 'default': { 'ENGINE': 'django.db.backends.', # Add 'postgresql_psycopg2', 'postgresql', 'mysql', 'sqlite3' or 'oracle'. 'NA...
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# cds_tetr.py - TetR protein definition # RMM, 11 Aug 2018 # # This file contains the model for the TetR protein. # # Copyright (c) 2018, Build-A-Cell. All rights reserved. # See LICENSE file in the project root directory for details. from ..dna import ProteinCDS #! TODO: decide if this should be CDS_tetr class cds_...
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# -*- coding:utf-8 -*- import smtplib from email.mime.text import MIMEText from email.header import Header msg = MIMEText('小可爱,起床吃饭饭啦', 'plain', 'utf-8') from_addr = input('form') from_pwd = input('password') to_addr = input('addr: ') msg['From'] = Header('大佬康<*******@qq.com>', 'utf-8') msg['To'] = Header('小宝贝<****...
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""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 3.1.6. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib ...
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from __future__ import unicode_literals, absolute_import from rest_framework import serializers from employees.models import EmployeeRoles, Employee class EmployeeRoleSerializer(serializers.ModelSerializer): class Meta(object): model = EmployeeRoles fields = '__all__' class EmployeeViewSeriali...
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""" MIT License Copyright (c) 2021 MShawon 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, merge, publish, distr...
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num = int(input("Digite um número inteiro: ")) div = 1 cont = 0 while num>=div: if num % div == 0: cont = cont + 1 div = div + 1 if cont <=2: print("primo") else: print("não primo")
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import glob import collections import struct from util import * for fname in glob.glob('Stage/**/*.stb', recursive=True): print(fname) f = open(fname,'rb') f.seek(0x20) parsed = [] while True: seg_header = f.read(0x8) if len(seg_header) <= 0: break seg_len, seg...
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class Solution(object): def combinationSum2(self, candidates, target): """ :type candidates: List[int] :type target: int :rtype: List[List[int]] """ self.res = [] self.dfs(0, sorted(candidates), target, []) return self.res d...
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from biocell import * class Solver( ParamHolder ): def __init__( self, name ): self.mName = name self.mEnumToken = "SOLVER_%s" % ( name, ) ParamHolder.__init__(self) self.setPrefix( "SOLVER" ) self.addAttribute( Param( "name", "str", "", True ) ) self.addAt...
[ "larsen@dixie.edu" ]
larsen@dixie.edu
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/main.py
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[]
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michoy/techathon_tellolib
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2020-08-11T08:15:11.820703
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from dronelib.dronelib_tello import TelloDrone from dronelib.util import * from time import sleep def main(): drone = TelloDrone() drone.activate() drone.takeoff(1.0) drone.set_target(0, 0, yaw=1.57) print(drone.position) print(drone.yaw) image = drone.camera_image save_image(image)...
[ "michael.hoyer3@gmail.com" ]
michael.hoyer3@gmail.com
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/cosmoslik/cosmoslik_plugins/models/classyAACF.py
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from __future__ import absolute_import from cosmoslik import SlikPlugin from numpy import arange, pi class classy(SlikPlugin): """ Plugin for CLASS. Credit: Brent Follin, Teresa Hamill, Andy Scacco """ #{cosmoslik name : class name} - This needs to be done even for variables with the same name (be...
[ "ajscacco@ucdavis.edu" ]
ajscacco@ucdavis.edu
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n = int(input()) a = list(map(int, input().split())) a.sort(reverse = True) list = [] for i, j in enumerate(a): if i % 2 == 1: list.append(j) answer = sum(list[0 : n]) print(answer)
[ "66529651+Aastha2104@users.noreply.github.com" ]
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people = 20 cats = 30 dogs = 15 if people < cats: print("Too many cats! The world is doomed!") if people > cats: print("Not many cats! The wolrd is saved!") if people < dogs: print("The world is drooled on!") if people > dogs: print("The world is dry!") dogs += 5 if people >= dogs: print("Peop...
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import numpy as np class Evaluator(object): def __init__(self, num_class): self.num_class = num_class self.confusion_matrix = np.zeros((self.num_class,) * 2) def Pixel_Accuracy(self): Acc = np.diag(self.confusion_matrix).sum() / self.confusion_matrix.sum() return Acc def ...
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[]
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# -*- coding: utf-8 -*- from flask import request, render_template from config import create_app import os import urllib import requests import uuid app = create_app() @app.route('/upload/<filename>', methods = ['PUT']) def upload_file(filename): name = request.cookies.get('name') pwd = request.cookies.get('...
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/job/urls.py
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[]
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from django.urls import path from . import views from django.conf import settings from django.conf.urls.static import static urlpatterns=[ path('',views.job_list), path('<int:id>',views.job_detail), ] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) urlpatterns += static(settings.MEDIA_UR...
[ "yossefdawoad15@gmail.com" ]
yossefdawoad15@gmail.com
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/MagnitudeCalculator/Tester.py
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[]
no_license
debjyoti385/quakeanalysis
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'''from obspy.fdsn.client import Client from obspy import iris from obspy import arclink from obspy import UTCDateTime client = Client("IRIS") iClient = iris.Client() arcClient = arclink.Client(user="sed-workshop@obspy.org") timeSeriesClient = iris.Client() t1 = UTCDateTime("2012-04-12T07:15:49.1700") #t1 = UTCDateTi...
[ "zinniamukherjee@Zinnia.local" ]
zinniamukherjee@Zinnia.local
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/PDF-reader/app.py
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[]
no_license
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import tkinter as tk import PyPDF2 from PIL import Image, ImageTk from tkinter.filedialog import askopenfile # initialise root = tk.Tk() root.title("PDF Text Extractor") canvas = tk.Canvas(root, width=600, height=300) canvas.grid(columnspan=3, rowspan=3) # logo logo = Image.open("logo.png") logo = ImageTk.PhotoImage...
[ "luke.hartley05@gmail.com" ]
luke.hartley05@gmail.com
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/DDPG Agent - Continous Reacher Environment/a_memory.py
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[ "MIT" ]
permissive
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import numpy as np import random from collections import namedtuple, deque import torch import torch.nn.functional as F import torch.optim as optim from constants import * class ReplayBuffer: """Fixed-size buffer to store experience tuples.""" def __init__(self, action_size, seed): """Initialize...
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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
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/done/county_process.py
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import csv """ Converts file with votes by county and party to a pivot table with each county only listed once """ counties = [] with open("county_votes.csv", 'r') as f: with open("processed_votes.csv", 'a') as g: reader = csv.reader(f) writer = csv.writer(g) header = next(reader) ...
[ "carrickdb@gmail.com" ]
carrickdb@gmail.com
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/coding_challenge_6.py
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[]
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file1 = open("demo.txt", "w") file1.write("Hello, I am Anu Shalet Philip.") file1 = open("demo.txt", "r") content = file1.read() print(content) file1 = open("demo.txt", "a") file1.write("I am from Kottayam.") file1 = open("demo.txt", "r") content = file1.read() print(content) file1.close()
[ "shaletanu0@gmail.com" ]
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/platforms.py
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import pygame, random class Platforms(pygame.sprite.Sprite): def __init__(self, pos, img_path, width=70, height=70): super().__init__() self.image = pygame.Surface([width, height]).convert() self.image.blit(pygame.image.load(img_path).convert(), (0, 0), (0, 0, width, height)) self.im...
[ "sfolkerts@coinstar.com" ]
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[]
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# coding=utf-8 def print_str(str): print(str)
[ "scorpiocph@gmail.com" ]
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/tests/bam2msa.py
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#!/usr/bin/env python3 import nose import functools import os from Bio import SeqIO from BioExt.io import BamIO from BioExt.args import ( add_alphabet, add_reference, add_scorematrix ) from BioExt.uds import _align_par from BioExt.misc import compute_cigar, gapless from BioExt.scorematrices import ...
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import feedparser import urllib.parse def lookup(geo): """Looks up articles for geo.""" # check cache for geo if geo in lookup.cache: return lookup.cache[geo] # get feed from Google. !!! CURRENTLY TO AVOID SPAM BOT J'ACUSE FROM GOOGLE !!! # http://news.google.com/news?geo=22044&o...
[ "coelomate@gmail.com" ]
coelomate@gmail.com
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ii = [('CookGHP3.py', 1), ('SadlMLP.py', 2), ('MartHSI2.py', 1), ('LeakWTI2.py', 1), ('KembFJ1.py', 1), ('WilkJMC3.py', 1), ('WilbRLW5.py', 1), ('GellWPT2.py', 1), ('SeniNSP.py', 1), ('LyttELD.py', 1), ('AdamHMM.py', 1), ('ClarGE.py', 3), ('DaltJMA.py', 1), ('NewmJLP.py', 3), ('CoopJBT.py', 1), ('LeakWTI4.py', 1), ('Me...
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/data_utils/video_utils.py
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import os TMP_FOLDER = "tmp" MODEL_FOLDER = "models" cached_video = set() cached_model = set() for f in os.listdir(TMP_FOLDER): if os.path.isdir(os.path.join(TMP_FOLDER, f)): for i in os.listdir(os.path.join(TMP_FOLDER, f)): if os.path.splitext(i)[1] == ".mp4": cached_video.add...
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/LeetCode-Python/677. Map Sum Pairs.py
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[]
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class TrieNode(object): def __init__(self, char, value): self.character = char self.value = value self.isWord = False self.children = [None] * 26 class MapSum(object): def __init__(self): """ Initialize your data structure here. """ self.root = T...
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/src/triangles/hashed_edge_iterator.py
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import utils from time import time # TODO: clean up def print_stats(G): edge_list_lengths = [] _max = 0 _min = 9999999 for key in G: l = len(G[key][0]) if l < _min: _min = l if l > _max: _max = l edge_list_lengths.append(l) avg = sum(edg...
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import streamlit as st import numpy as np import pandas as pd import datetime import os import matplotlib.pyplot as plt from wordcloud import WordCloud, STOPWORDS from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer import plotly.graph_objects as go from sqlalchemy import create_engine from sqlalchemy.p...
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#print tiene 4 formas de uso """ 1.- Con comas 2.- con signo '+' 3.- con la funcion format() 4.- es con una variante de format() """ #Con comas , concatenar agregando # un espacio y haciendo casting de tipo edad = 10 nombre = "Juan" estatura =1.67 print(edad , estatura , nombre) #Con '+' hace lo mismo pero no hace el c...
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"""personal_portfolio URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') ...
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from .api_modules import ( analyse_feeling_polarity, find_music_for_feeling, find_lyrics_for_music, ) class MusicMatcher: def __init__(self, feeling): self.feeling = feeling self._music = None self._lyrics = None self._polarity = None def _analyse_feeling(self): ...
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# 加载依赖 import pymongo # 创建连接 myclient = pymongo.MongoClient("mongodb://localhost:27017/") # 定位到数据库mongo_python和集合sites ##use mongo_python mp = myclient["mongo_python"] sites = mp["sites"] #按照alexa降序,name升序 db.sites.find().sort({"alexa": -1, "name": 1}) siteList = sites.find({}, {"_id": 0, "name": 1, "alexa": 1})\ ...
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# read a string from the terminal str = raw_input() # print it back out! print str
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def describe_city(city,country='China'): print(city + ' is in '+ country + '.') describe_city('Chengdu') describe_city('Beijing') describe_city('London','Britain')
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# usr/bin/env python # coding:utf-8 """ redis Notes ============ Date@2019/7/9 Author@Wangjunxiong """ import redis try: r = redis.Redis(host="39.106.165.57", port=6379, db=0) r.get("msg") except Exception as e: print "Connect Error as -> ", str(e)
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#ask age def age(): age = '' while True: try: age = int(input("Enter your age: ")) if age < 10: print("You are too young to take this quiz.") raise SystemExit elif age > 18: print("You are too old to take this quiz.") rai...
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from pysmt.shortcuts import Symbol, Int, And, GE, LE, LT from pysmt.typing import INT # x86_64 BarrelfishOS user-space system call argument conventions machine_description = lambda regs: And( # each register in regs has to be loaded from user stack And(reg.has_valid_stack_slot() for reg in regs.values()), ...
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""" Django settings for backend project. Generated by 'django-admin startproject' using Django 2.2.4. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os #...
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""" Script to extract an average 1D model from Donna's NZ3D model. """ import numpy as np import pandas as pd MODEL_FILE = "vlnzw2p2dnxyzltln.tbl.txt" # NZ3D 2.2 from https://zenodo.org/record/3779523#.YCRFaOrRVhF def extract_one_d( min_x: float = 72.0, max_x: float = 110.0, min_y: float = -100.0, ...
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# Basic working code for reading data directly into python import serial import time # This port address is for the serial tx/rx pins on the GPIO header SERIAL_PORT = '/dev/rfcomm0' # Set this to the rate of communication between PC and HC-05 SERIAL_RATE = 115200 def char_to_float(units, tens, hundreds, thousands)...
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import numpy as np import matplotlib.pyplot as plt import csv def show_hist(arr, title_name, xlabel, show_plot=True): hist, bins = np.histogram(arr, 30) bins = bins[:-1].astype(np.int) if show_plot == True: ind = np.arange(1, bins.shape[0] + 1) # the x locations for the groups maxs = hist width = 0....
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import numpy as np import scipy.io as io import cv2 as cv import sys, os import caffe import pdb model_path = os.path.join( '/cs/vml2/xla193/cluster_video/output/UCF-101/snapshots_lstm_RGB/_iter_2500.caffemodel' ) print "Start loading network.." # load net net = caffe.Net('/cs/vml2/xla193/cluster_video/code/lisa-caffe...
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def separate_into_words(sentence): return sentence.split(' ') print(separate_into_words("look the dog ran fast")) separate_into_words("look the dog ran fast") def reverse_word_order(sentence): words_list = separate_into_words(sentence) reverse = words_list[::-1] reverse_sentence = '' reverse_sentence += reve...
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import random as rd def helper(member_list, team_list): # print(best_friend) best_friend = "TK" score = [ rd.randint(1, 100) for ele in member_list ] score.sort(reverse=True) print(score) def is_team_member(who): if who in team_list: return (0, who) return (1, who) ...
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from datetime import datetime, date import geopandas import plotly.express as px import pandas as pd import numpy as np from flask_babel import gettext from pages import get_translation import plotly.graph_objects as go from graphs import register_plot_for_embedding geojson = geopandas.read_file('static/json/admin-u...
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import numpy as np import torch from torch.nn import functional as F from utils import architecture #%% def choose_architecture(config): if( config['architecture'] == 'Unet64'): model = architecture.UNet64(num_classes = len(config["trainingCIDs"]) + 1) elif(config['architecture'] == 'Unet128'): ...
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import re import pickle import json import lemmagen from lemmagen.lemmatizer import Lemmatizer from nltk.tokenize import RegexpTokenizer import ufal_udpipe as udpipe def remove_comments(corpus): regex = "\\((.*?)\\)" corpus['Questions'] = corpus['Questions'].apply(lambda x: re.sub(regex, '', ...
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import time import socket import json class MFCClient(object): def __init__(self,lookup_table=None, oob_option=None, replay=True): self.load_json() self.host = self.config_data['local_host'] self.port = self.config_data['local_port'] self.replay = replay #print('Started MFC...
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class Dog: def __init__(self, name, age, weight): self.name = name self.age = age self.weight = weight def bark(self): if self.weight > 29: print(self.name, 'says "WOOF WOOF"') else: print(self.name, 'says "woof woof"') def human_years(self)...
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import pygame import time import random import copy #Declaring Variables col = 20 row = 40 blockW = 15 width = col * blockW height = row * blockW gameOver = False matrices = [] #Variable for clock startTime = time.time() clockTime = 0.25 nTime = 0 #Initializing pygame pygame.init() window = pygame.display.set_mode...
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# ============= # magic_square_ # ============= # # *Simple operations with magic squares.* # # Copyright (c) 2007 `Alec Mihailovs`_ <alec@mihailovs.com> # All rights reserved. Licensed under the `MIT License`_ . # # .. _magic_square: http://mihailovs.com/Alec/Python/magic_square.html # # .. _`Alec Mihailovs`: htt...
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# Copyright 2010 Matt Chaput. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions and the...
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import pandas as pd # contains all the accessory functions for ephys data analysis # --------------------------------------------------------- # joins values from multiple columns into a single column # input: dataframe and the columns to combine # return: a single column with joined values from the other columns def...
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from distutils.core import setup setup( name = 'plex', version = "%%PORTVERSION%%", packages = ['Plex'], )
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import sys import pycmap sys.path.append('../') import insertFunctions as iF import config_vault as cfgv import pandas as pd sys.path.append('../dbCatalog/') import catalogFunctions as cF """-----------------------------""" """ AMT09 CRUISE KEYWORDS""" """-----------------------------""" cruise_name = 'AMT09' server...
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alban@visa.com
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import numpy as np from terminaltables import AsciiTable def bbox_overlaps(bboxes1, bboxes2, mode='iou'): """Calculate the ious between each bbox of bboxes1 and bboxes2. Args: bboxes1(ndarray): shape (n, 4) bboxes2(ndarray): shape (k, 4) mode(str): iou (intersection over union) or iof ...
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import pytest from source.classes import Figure def test_baseclass_create(): with pytest.raises(Exception): Figure('name', [1], 1)
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from pathlib import Path import requests from data_pipeline_api.registry.download import download_from_config_file def registry_installed(): user_home = Path.home() scrc_dir = user_home.joinpath(".scrc") return scrc_dir.exists() def registry_running(): try: r = requests.get("http://localho...
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__author__ = 'Mohammad Yousuf Ali, aliyyousuf@gmail.com, fb.com/aliyyousuf' # Our goal now is to modify our previous algorithm for the Frequent Words Problem in order to find # DnaA boxes by identifying frequent k-mers, possibly with mismatches. Given input strings Text and # Pattern as well as an integer d, we exte...
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# -*- coding: utf-8 -*- """ Created on Mon Dec 3 17:07:43 2018 @author: Test1 """ import pandas as pd import pyodbc from sqlalchemy import create_engine import matplotlib.pyplot as plt import numpy as np import seaborn as sns import GetCredentials User,Pass = GetCredentials.GetCreds('its me, dummy','...
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class Solution: """ @param: nums: Given an integers array A @return: A long long array B and B[i]= A[0] * ... * A[i-1] * A[i+1] * ... * A[n-1] """ def productExcludeItself(self, nums): if len(nums) < 2: return [1] # write your code here left = nums[:] ...
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from numpy import * import matplotlib.pyplot as plt import subprocess if __name__ == '__main__': print("Anzahl an Veruchen: ") nr_trials = int(input()) max_pages = 4096 print("Starte mit {} Versuchen... (Bitte warten)".format(nr_trials)) subprocess.run(["gcc", "-O0", "-o", "tlb.out", "tlb.c", "-Wal...
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#! /usr/bin/python2 import pefile import os import array import math import pickle from sklearn.externals import joblib import sys import argparse def get_entropy(data): if len(data) == 0: return 0.0 occurences = array.array('L', [0]*256) for x in data: occurences[x if isinstance(x, int)...
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# -*- coding: utf-8 -*- from setuptools import setup, find_packages setup( name='bookStore', packages=find_packages(), install_requires=[ 'Flask', 'Flask-SQLAlchemy' ], setup_requires=[], tests_require=[ 'pytest' ] )
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import tensorflow as tf import gym import numpy as np import os import random from collections import deque env_name = 'CartPole-v0' state_dim = 4 ob_frames = 1 num_keys = 2 learning_rate = 0.01 batch_size = 64 replay_len = 100000 oldest_mem = 0 default_action = 1 empty_obs = np.zeros((ob_frames,state_dim)) mem = repl...
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#!/usr/bin/python2.6 # # Copyright (c) 2012 by Delphix. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # - Redistributions of source code must retain the above copyright notice, # this list of ...
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from django.apps import AppConfig class MatcherAppConfig(AppConfig): name = 'matcherapp'
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# Do not edit. File was generated by node-gyp's "configure" step { "target_defaults": { "cflags": [], "default_configuration": "Release", "defines": [], "include_dirs": [], "libraries": [] }, "variables": { "asan": 0, "host_arch": "x64", "icu_data_file": "icudt56l.dat", "icu_da...
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from .abstract import ToolConfAbstract from ..registration import Registration from ..deployment import Deployment class ToolConfDict(ToolConfAbstract): _config = None _private_key = None _public_key = None def __init__(self, json_data): """ json_data is a dict where each key is issue...
[ "dmitry.viskov@webenterprise.ru" ]
dmitry.viskov@webenterprise.ru
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from socket import * import time s = socket(AF_INET, SOCK_STREAM) s.bind(('', 8888)) s.listen(5) while True: client, adr = s.accept() # print(f'Подключение по адресу{adr}') # time_str = time.ctime(time.time()) # client.send(time_str.encode('utf-8')) data = client.recv(1024) decoded_data = data...
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#!/bin/python3 import math import os import random import re import sys # Complete the sockMerchant function below. def sockMerchant(n, ar): pairs = 0 checklist=[] for i in range(len(ar)): if ar[i] in checklist: continue else: elcount = ar.count(ar[i]) i...
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#M1 인쇄 목록과 인덱스를 함께 기억 -> enumerate() #M2 어차피 인쇄되는 건 우선순위가 가장 큰 값이니, 해당 값을 기준으로 조건을 분기 def solution(priorities, location): ans = 0 m = max(priorities) while True: v = priorities.pop(0) if m == v: ans += 1 if location == 0: break else: ...
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""" WSGI config for languagegames project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO...
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import math #y correct class #cls predicted class def get_performance_measure(y, cls, perform_measure): tp, tn, fp, fn = 0.0, 0.0, 0.0, 0.0 for label, pred in zip(y,cls): assert label == 1 or label == 0 assert pred == 1 or pred == 0 if label and pred: tp += 1 elif lab...
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# # @lc app=leetcode id=1449 lang=python3 # # [1449] Form Largest Integer With Digits That Add up to Target # # https://leetcode.com/problems/form-largest-integer-with-digits-that-add-up-to-target/description/ # # algorithms # Hard (42.08%) # Total Accepted: 6.5K # Total Submissions: 15.5K # Testcase Example: '[4,3...
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from kombu.asynchronous import get_event_loop from .base import Request, Headers, Response __all__ = ('Client', 'Headers', 'Response', 'Request') def Client(hub=None, **kwargs): """Create new HTTP client.""" from .curl import CurlClient return CurlClient(hub, **kwargs) def get_client(hub=None, **kwarg...
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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'slambook.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: ...
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from django.urls import path from . import views from .views import QuoteList, QuoteView urlpatterns = [ path('', views.quote_req, name='quote-request'), path('show/<int:pk>', QuoteView.as_view(), name='quote-details'), path('show', QuoteList.as_view(), name='show-quotes'), ]
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# -*-coding:utf-8-*- # @author: 'Repose' # @date: 2017/6/30 import numpy as np import pandas as pd data = np.random.randn(4,4) print(data) print(len(data))
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# Auto generated configuration file # using: # Revision: 1.372.2.3 # Source: /local/reps/CMSSW.admin/CMSSW/Configuration/PyReleaseValidation/python/ConfigBuilder.py,v # with command line options: Configuration/GenProduction/python/EightTeV/Bprime_B2G/BprimeToBZinc_M_825_TuneZ2star_8TeV_madgraph_cff.py --filein lhe:6...
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''' contains the structure of each object ''' import config from config import x_fac, y_fac import numpy as np class Object: '''# bombs, walls, bricks all will be of this type''' def __init__(self, x, y, ch=config._empty): '''# the x and y coords wrt top left of board''' self._x = x ...
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# -*- coding: utf-8 -*- import os gettext = lambda s: s #Dubble dirnames due to project dir PROJECT_PATH = os.path.abspath(os.path.dirname(os.path.dirname(__file__))) # Django settings for holon project. DEBUG = True TEMPLATE_DEBUG = DEBUG ADMINS = ( ('Eirk Günther', 'egu@mensa.se'), ) MANAGERS = ADMINS DATAB...
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