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from fosvis import orf import unittest from Bio.Seq import Seq from Bio.SeqRecord import SeqRecord import filecmp import os import pandas as pd from pandas.testing import assert_frame_equal import difflib # Done class test_run_prodigal(unittest.TestCase): """ Checks that prodigal creates both output files ...
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# -*- coding: utf-8 -*- """ requests.api ~~~~~~~~~~~~ This module implements the Requests API. :copyright: (c) 2012 by Kenneth Reitz. :license: Apache2, see LICENSE for more details. """ from . import sessions def request(method, url, **kwargs): """Constructs and sends a :class:`Request <Request>`. :para...
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""" Code to ONLY CONTROL cue and RESPOND to nosepoke No recording --> Leave that to Intan Board """ from threading import Thread, Lock import time import RPi.GPIO as GPIO import datetime import numpy as np class nosepoke_task: """ - Class to run nosepoke task - Stores main variables and performs appropri...
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lines = [] count = 0 with open("./yelp_academic_dataset_review.json", "r", encoding="utf-8") as reader: while count <= 1000000: lines.append(reader.readline()) count += 1 with open("./yelp_academic_dataset_review.json", "r", encoding="utf-8") as reader: for i, l in enumerate(reader): ...
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# Copyright 2018 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 applica...
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from .genalg import GeneticAlgorithm __all__ = ["GeneticAlgorithm"]
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import numpy as np from ..Tools.Downloading._DeleteDate import _DeleteDate from .. import Globals def DeleteDate(Date,subcomp,L,prod,Confirm=True): ''' delete all of the files from a given date ''' if subcomp == 'hfa' and L == 3: idxfname = Globals.DataPath + 'PWE/Index-L{:01d}-{:s}.dat'.format(L,subcomp) da...
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from leetcode.interval.interval import Interval class Solution(object): def merge(self, intervals): """ :type intervals: List[Interval] :rtype: List[Interval] """ if len(intervals) <= 1: return intervals def overlap(l1, l2): """ ...
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boyfriends = [] girlfriends = [] answer = "S" while answer == "S": boyfriends.append(input("Boyfriend: ")) girlfriends.append(input("Girlfriend: ")) answer = input("Type \"S\" to continue: ").upper() search = input("\nType the person name to search: ") for i in range(0, len(boyfriends)): if search ==...
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# Newsagent # functions for web-requests from bs4 import BeautifulSoup import requests def get_departments(): url = 'https://www.sueddeutsche.de/' response = requests.get(url) text = response.text soup = BeautifulSoup(text, features="html.parser") departments = soup.find('ul', class_='department...
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from ev3dev import ev3 left_wheel = ev3.MediumMotor('outA') right_wheel = ev3.MediumMotor('outB') infra_sensor = ev3.InfraredSensor('in1') touch_sensor = ev3.TouchSensor('in2') def forward(): left_wheel.run_forever(speed_sp=500) right_wheel.run_forever(speed_sp=500) def turn(): left_wheel.run_forever(sp...
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Python – Reading last N lines of a file **Prerequisite:** Read a file line-by-line in Python Given a text file _fname_ , a number _N_ , the task is to read the last N lines of the file. As we know, Python provides multiple in-built features and modules for handling files. Let’s discuss different ways to...
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from flask import Flask, jsonify,request from flask_cors import CORS from joblib import load #specific path for PythonAnywhere classifier = load('/home/Mariankowlak/mysite/ptclassifier.joblib') app = Flask(__name__) CORS(app, resources={r"/*": {"origins": "*"}}) @app.route('/') def hello_world(): return 'Hello f...
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''' Program to display hello world ''' print("hello world")
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# 2015.11.18 11:51:09 Střední Evropa (běžný čas) # Embedded file name: scripts/client/TmpConsoleCmds.py import BigWorld from debug_utils import * class LanServers: def search(self): BigWorld.serverDiscovery.searching = 1 def stop(self): BigWorld.serverDiscovery.searching = 0 def show(sel...
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def mygcd(x, y): if x == 0: return y else: return mygcd(y%x, x)
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from django.shortcuts import render from .models import Service from .forms import AddServiceForm from django.views import generic from django.http import JsonResponse from django.urls import reverse_lazy from django.core import serializers def addService(request): if request.method=='POST': form=AddServiceForm(req...
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import generic import time import numpy def func(x): return 10*x*x*x*x*x+4*x*x*x*x+x*x*x-20*x*x+3; def manual(list): for i in xrange(len(list)): list[i] = func(list[i]) num = 1000000 arr = [0.0+x for x in range(0,num)] n1 = numpy.array(arr,numpy.double); n2 = numpy.array(arr,numpy.double); n3 = numpy.array(arr,...
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"""Parses classical swine H1N1 genes. Gets the PB2, PA, NP, M1, M2, NS1, and NS2 coding sequences descended of classical swine H1N1 virus. These sequences are aligned to the 1918 virus, with gaps relative to this strain stripped away. Classical swine viruses are defined on the basis that they are H1N1 viruses from ...
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# module for binary trees class Node: def __init__(self, value, left=None, right=None): self.value = value self.left = left self.right = right self.parent = None def printInOrder(root): nodes = [] printInOrderUtil(root, nodes) return nodes def printInOrderUtil(root...
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import numpy as np g=open('Probabilidades.txt',"r") lines=g.readlines() g.close() lista = [ ] cont=0 contelem=0 contex=-1 lin0 = 1 for i in lines: if contelem==0 and cont>lin0: contex=contex+1 if cont==0: lin0=float(i) else: w=float(i) if contex==contelem and ...
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/main.py
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2021-10-04T04:25:37
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py
#You can add an additional package to this project named "pypng" if you want to save the qr code in a png format..... #If you use a python IDE, it would be better import pyqrcode from pyqrcode import QRCode s = "website link here" url = pyqrcode.create(s) url.svg("urpic.svg", scale = 8) url.png('urpic.png...
[ "noreply@github.com" ]
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/examples/external_satisfy/sigma.py
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py
import peqnp as pn pn.engine(16) x = pn.integer(key='x') n = pn.integer(key='n') pn.sigma(lambda k: k ** 2, 1, n) == x while pn.external_satisfy(key='sigma', solver='java -jar -Xmx4g blue.jar'): print(x, n, sum(k ** 2 for k in range(1, n.value + 1)))
[ "oscar.riveros@peqnp.science" ]
oscar.riveros@peqnp.science
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[]
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kogalex/tzeva_adom
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refs/heads/master
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2014-07-21T20:10:10
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py
# -*- coding: utf8 -*- import json, requests, time cities_json = open('city_geocode.json') CITY_LIST = json.load(cities_json) cities_to_geocode = {} for k, v in CITY_LIST.items(): if v['status'] == 'OK': try: cities_to_geocode[k] = v['results'][0]['geometry']['location'] except Exce...
[ "kogalex@gmail.com" ]
kogalex@gmail.com
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class Basketci(): def __init__(self,ad,soyad,boy,basket_ortalamasi,maas): self.ad = ad self.soyad = soyad self.boy = boy self.basket_ortalamasi = basket_ortalamasi self.maas = maas def bilgileri_goster(self): print(""" Basketçi Özellikleri Ad \t\t\...
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erol.kahraman@gmail.com
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asad9520/MTRX5700_Baxter
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#!/usr/bin/env python import sys import rospy import cv2 from std_msgs.msg import String from sensor_msgs.msg import Image from cv_bridge import CvBridge, CvBridgeError class image_converter: def __init__(self): self.bridge = CvBridge() self.image_sub = rospy.Subscriber("/cameras/right_hand_camera/image",I...
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asad9520.noreply@github.com
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/training_digit.py
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[]
no_license
Dat0309/Handwritten-Digit-Recognition
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from tensorflow import keras from tensorflow.keras.datasets import mnist from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Dropout, Flatten from tensorflow.keras.layers import Conv2D, MaxPooling2D from tensorflow.keras import backend as K from matplotlib import pyplot as plt imp...
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AnonymCybercik/nazorat-ishi
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2023-02-27T12:34:33.806530
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py
# Generated by Django 3.0.7 on 2020-06-30 13:02 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('my_tests', '0007_auto_20200629_1257'), ] operations = [ migrations.AddField( model_name='student', nam...
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AnonymCybercik.noreply@github.com
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/20.py
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divyank0/euler_project
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def d (n): summ=0; for i in range(1,n): if n%i==0: summ=summ+i; return(summ) murgi=0; for j in range(2,10000): dn=d(j); if d(dn)==j and dn!=j: murgi=murgi+j; print(j); print(murgi);
[ "divyank.agarwal1993@gmail.com" ]
divyank.agarwal1993@gmail.com
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[]
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anjia0532/reptitlesDemo
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2023-01-10T03:40:28.585755
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# -*- coding: utf-8 -*- import time import random import asyncio from exe_js import * from pyppeteer import launch class MeiTuan_Spider(): def __init__(self): pass @classmethod async def create_browser(cls): self = MeiTuan_Spider() self.browser = await launch({ ...
[ "65542675@qq.com" ]
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[]
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Aasthaengg/IBMdataset
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import sys from itertools import accumulate H, N = map(int, next(sys.stdin.buffer).split()) A = map(int, next(sys.stdin.buffer).split()) ans = any(map(lambda v: v >= H, accumulate(A, initial=0))) print('Yes' if ans else 'No')
[ "66529651+Aastha2104@users.noreply.github.com" ]
66529651+Aastha2104@users.noreply.github.com
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/tests/ignite/contrib/handlers/test_mlflow_logger.py
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[ "BSD-3-Clause" ]
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anmolsjoshi/ignite
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2022-06-22T10:27:56.765690
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0
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py
import sys from unittest.mock import call, MagicMock import pytest import torch from ignite.contrib.handlers.mlflow_logger import ( global_step_from_engine, MLflowLogger, OptimizerParamsHandler, OutputHandler, ) from ignite.engine import Engine, Events, State def test_output_handler_with_wrong_logge...
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anmolsjoshi.noreply@github.com
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/Graph Theory/Connectivity/Biconnected_Components.py
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[]
no_license
neelamy/Algorithm
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# Python program to find biconnected components in a given # undirected graph #Complexity : O(V+E) from collections import defaultdict #This class represents an directed graph using adjacency list representation class Graph: def __init__(self,vertices): self.V= vertices #No. of vertices self.graph = defaul...
[ "neelamyadav.jss@gmail.com" ]
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[]
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tmu-nlp/100knock2017
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import json import gzip import plyvel import pickle def make_name_tags_DB(data_js_path): with gzip.open(data_js_path, 'r') as data_js: name_tags_db = plyvel.DB('result/knock63_result.ldb', create_if_missing=True) for line in data_js: data_dict = json.loads(line.decode('utf-8')) ...
[ "Shimanaka_Hiroki@shima-no-MacBook-Air.local" ]
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""" Usage: # From tensorflow/models/ # Create train data: python generate_tfrecord.py --csv_input=data/train_labels.csv --output_path=train.record # Create test data: python generate_tfrecord.py --csv_input=data/test_labels.csv --output_path=test.record """ from __future__ import division from __future__ im...
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twolfe99
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[]
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rushidesai1/ReinforcementLearningProjects
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class Environment: def __init__(self, env): """ Setup for the environment called when the environment first starts """ super().__init__() self.env = env self.env.seed(0) self.reward_state_is_done = (0.0, None, False) def reset(self): """ T...
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# -*- coding: utf-8 -*- """ Created on Sun Apr 26 17:23:14 2020 @author: ASUS """ """ heatmap (correlation matrix) polinomial and radial using trained data in 2 well compare the mean square error between previous and new model plot ditimpa """ import pandas as pd import matplotlib.pyplot as plt imp...
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import argparse import re import sys import glob def tokens(code): return re.findall(r'\w+', code) def get_tokens_in_file(filename: str) -> int: with open(filename) as f: file = f.read().replace('\n', ' ') return len(tokens(file)) def get_YAML_in_directory(dir_path: str) -> list: return ...
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ronkagan/Euler_1
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/home/action/.parts/packages/googleappengine/1.9.4/lib/django-1.2/tests/regressiontests/test_client_regress/urls.py
[ "ron.y.kagan@gmail.com" ]
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/stocks/migrations/0003_remove_stockitem_slug.py
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# Generated by Django 3.2 on 2021-05-05 22:27 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('stocks', '0002_auto_20210505_2116'), ] operations = [ migrations.RemoveField( model_name='stockitem', name='slug', ), ...
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leeleavitt/cellTypePredictor
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import pandas as pd import numpy as np import py.main from py.main import imageLoader import tensorflow as tf from scipy.stats import describe from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Activation, Dropout, Flatten, Conv2D, MaxPooling2D from tensorflow.keras.layers import ...
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[]
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# Generated by Django 3.2.5 on 2021-08-15 07:40 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Calender', fields=[ ('id', models.BigAutoFi...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # Created by HazzaCheng on 2019-09-22 import os import tensorflow as tf from tensorflow.python.keras.backend import set_session from data_manager import DataManager from model_manager import ModelManager from tools import log, timeit import res34_model config = tf.ConfigPro...
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count = 0 for _ in range(int(input())): p, q = list(map(int, input().split())) if q - p >= 2: count += 1 print(count)
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#2 ''' text = input() l = text.split() q="" for i in sorted(l,key=lambda a: len(a)): q = q + " " + i print(q) ''' p = input("vedite dannye cherez probel: \n") s = int(input("vedite shag: ")) x = p.split() for j in range(int(len(x))):
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from django.contrib import admin from .models import Product, Contact, Orders, OrderUpdate # Register your models here. admin.site.register(Product), admin.site.register(Contact), admin.site.register(Orders), admin.site.register(OrderUpdate)
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# Copyright 2017 Google Inc. 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 applicable law or a...
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"""A quick and dirty Sudoku grid validator Uses numpy for matrix operations: - extracting submatrices in validate_square() - transpose All functions return immediately upon detecting invalidity. Operates correctly on Sudoku grid dimensions that are perfect squares. """ import math import numpy as np def valid...
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__author__ = 'Tom Schaul, tom@idsia.ch' from neuronlayer import NeuronLayer from module import Module class BiasUnit(NeuronLayer): """A simple bias unit with a single constant output.""" dim = 1 def __init__(self, name=None): Module.__init__(self, 0, 1, name = name) def _fo...
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# USAGE # When encoding on laptop, desktop, or GPU (slower, more accurate): # python encode_faces.py --dataset dataset --encodings encodings.pickle --detection-method cnn # When encoding on Raspberry Pi (faster, more accurate): # python encode_faces.py --dataset dataset --encodings encodings.pickle --detection-method h...
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import keras from keras.utils import np_utils from keras.models import Sequential from keras.layers import Dense, Activation, Flatten from keras.layers import Conv2D def conv_2d(filters, kernel_shape, strides, padding, input_shape=None): """ Defines the right convolutional layer according to the version...
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# coding: utf-8 """ Unity Cloud Build This API is intended to be used in conjunction with the Unity Cloud Build service. A tool for building your Unity projects in the Cloud. See https://developer.cloud.unity3d.com for more information. ## Making requests This website is built to allow requests to be made a...
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import copy import os import pickle import ujson from argparse import ArgumentParser import matplotlib.pyplot as plt from sklearn.metrics import f1_score from tqdm import tqdm from explain import normalize_explanations, relevance_matrix from helpers.config import config from helpers.log import log from train import P...
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# 변수는 할당해놓고 사용하지 않으면 메모리 공간을 차지하게 됨 # 변수 삭제 명령어 : del # del 변수명 c_var = 100 print(c_var) del c_var #print(c_var) # 코드 블럭 주석처리: ctrl + / (window), command+/(mac) # 무자열 값 저장 # 문자열은 큰따옴표 사용(작은따옴표도 가능) # 여러 종류의 따옴표를 사용시에는 짝을 맞춰야 함 name = '박민지' std_name = '박민정' pro_name = "박춘식 '교수'" print(name) print(std_name) print(pro...
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from django.contrib import admin from .models import * from content.fields import AdminImageWidget from django.db import models class SlidAdmin(admin.ModelAdmin): list_display = ('name', 'pic', 'published', 'ordering') list_editable = ('published', 'ordering') formfield_overrides = { models.ImageF...
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import pymongo from pymongo import MongoClient # connect to database connection = MongoClient('localhost', 27017) db = connection.test # handle to names collection names = db.names item = names.find_one() print item['name']
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import pandas as pd import numpy as np import matplotlib.pyplot as plt import random from sklearn.preprocessing import StandardScaler from sklearn.model_selection import train_test_split from sklearn.linear_model import LassoCV, RidgeCV, LinearRegression, ElasticNetCV from sklearn.metrics import mean_absolute_error fro...
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from aocpy.puzzle import Puzzle from aocpy.generate import generate_day from aocpy.templates.cli import input_cli
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from hello import app @app.route('/') def index(): return 'Hello World! This is the Fldkfdjhfjassdsk App!'
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from importlib import reload import discord import config import processor client = discord.Client() @client.event async def on_ready(): print('Engine Hearth logged in as {0.user}'.format(client)) @client.event async def on_message(message): # No self-reply if message.author == client.user: ...
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""" Script for transcribing audios in batches using Kaldi-Serve ASR server. Usage: batch_decode.py <audio_paths_file> [--model=<model>] [--lang=<lang>] [--num-proc=<num-proc>] [--output-json=<output-json>] [--transcripts-only] Options: --model=<model> Name of the model to hit [default: general] --...
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from iggybase.core.table_data import TableData from collections import OrderedDict from iggybase import g_helper from flask import abort import logging class TableCollection(): def __init__(self, table_names = [], depth = 2): self.role_access_control = g_helper.get_role_access_control() self.organ...
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""" NMS final predictions module """ import torch from ssdmultibox.config import cfg from ssdmultibox.datasets import NUM_CLASSES, device class Predict: """ Methods for making NMS predictions """ @classmethod def all(cls, preds, index=0, conf_thresh=cfg.NMS_CONF_THRESH): """ Calc...
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from time import gmtime, strftime, sleep import os from datetime import datetime, timedelta import pandas as pd import numpy as np import glob from jinja2 import Environment, FileSystemLoader import paramiko import logging # create logger logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(level...
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import os import re import json import requests from urllib import parse import BiliUtil.static_value as v import BiliUtil.static_func as f from BiliUtil.bili_album import Album from BiliUtil.bili_channel import Channel class User: cookie = None uid = None name = None birthday = None coin = Non...
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#!/usr/bin/python # -* - coding: UTF-8 -* - #!python #coding:utf-8 from sklearn.preprocessing import PolynomialFeatures import numpy as np X = np.arange(20).reshape(2, 10) poly = PolynomialFeatures(degree=2) res = poly.fit_transform(X) print res
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test = { 'name': 'Recap Lists and Dictionaries', 'points': 0, 'suites': [ { 'cases': [ { 'code': r""" >>> d = {'dog': 'bone', 'cat': 'mouse', 'bird': 'work', 'cow': 'grass'} >>> 'mouse' in d 284955ce13007698ae8d35f81082c68b # locked """...
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# -*- coding: utf-8 -*- # # Copyright 2015 Trey Morris # # 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 appl...
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import pygame from pygame.sprite import Sprite class Bullet(Sprite): """一个对飞船发射的子弹进行管理的类""" def __init__(self,ai_settings,screen,ship): """在飞船所处的位置创建一个子弹对象""" super(Bullet, self).__init__() self.screen = screen # 在(0,0)处创建一个表示子弹的矩形,再设置正确的位置 self.rect = pygame.Rect(0, 0, ai_settings.bullet_wid...
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# Demo program for moving average filter # Author: Peter Hinch # Released under the MIT License (MIT). See LICENSE. # Copyright (c) 2021 Peter Hinch # 16th Dec 2021 import array from time import ticks_us, ticks_diff from avg_pico import avg data = array.array('i', (0 for _ in range(19))) # Average over 16 samples dat...
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# -*- coding: utf-8 -*- from __future__ import print_function import os import stat import sys # find the import for catkin's python package - either from source space or from an installed underlay if os.path.exists(os.path.join('/opt/ros/kinetic/share/catkin/cmake', 'catkinConfig.cmake.in')): sys.path.insert(0, ...
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from __future__ import division from __future__ import unicode_literals from functools import reduce import math import operator import os from shutil import rmtree from django import VERSION as DJANGO_VERSION from django.conf import settings from django.contrib.auth.models import User from django.core.cache import c...
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#!/usr/bin/env python # coding=utf8 # @author:weiyz import os import uuid import threading import tarfile import shutil import socket import time from filecmp import dircmp ### beg 20180111 重设系统编码为GBK保证可以读取中文字符 ### import sys reload(sys) sys.setdefaultencoding('gbk') ### end 20180111 ### def get_sub_dic(lst, key): ...
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import sys def printFunction(lineRemaining): if lineRemaining[0] == '"' and lineRemaining[-1] == '"': if len(lineRemaining) > 2: #data to print lineRemaining = lineRemaining[1:-1] print ' '.join(lineRemaining) else: print def main(fileName): with open(fileName) as f: for line in f: ...
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# Load packages import pandas as pd import numpy as np from sklearn import preprocessing import streamlit as st # Load data df1 = pd.read_csv('Most-Recent-Cohorts-All-Data-Elements.csv') df2 = pd.read_csv('World_University_Rank_2020.csv') # Filter rows and columns df2 = df2.loc[df2["Country"] == "United States"][["Ra...
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import rpyc from django.http import HttpResponse, HttpResponseRedirect from django.views.generic import ListView, UpdateView from django.contrib.formtools.wizard.views import CookieWizardView from django.contrib.auth.decorators import login_required from django.shortcuts import get_object_or_404 from discobolus.core.m...
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# -*- coding: utf-8 -*- # @Time : 2019/1/23 14:35 # @Author : Alan # @Email : xiezhengwen2013@163.com # @File : data_preprocess.py # @Software: PyCharm import sys import numpy as np import random from collections import namedtuple import pickle import time random.seed(1337) np.random.seed(1337) ModelParam ...
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# Modules Requirements # module: BeautifulSoup # module: gitpython # module: urllib from BeautifulSoup import BeautifulSoup from functions import saveHtml from git import Repo import shutil import stat import urllib import sys import os import re count = len(sys.argv) if (count > 1): configFile = sys.argv[1] ...
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from flask import Flask, render_template, jsonify, request import requests import json import pycountry import us app = Flask(__name__) route_type = '' @app.route("/") def index(): return render_template('index.html') @app.route('/countries') def get_countries(): return json.dumps([[c.alpha_2, c.name] for c ...
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# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # # Code generated by aaz-dev-tools # --------------------------------...
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import torch from torch.autograd import Function from ..box_utils import decode, nms from opencv_learning.ssd.data import voc as cfg class Detect(Function): """At test time, Detect is the final layer of ssd. Decode location preds, apply non-maximum suppression to location predictions based on conf scores...
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from django.shortcuts import render # Create your views here. def contact_page(request): return render(request, 'contact/contact.html')
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#!/mnt/d/NewProject/target/venv/test/cpython-3.6.9.final.0/bin/python # -*- coding: utf-8 -*- import re import sys from setuptools.command.easy_install import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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# turtle-threads.py import threading import time import random DATA = 0 class ThreadA(threading.Thread): def __init__(self, e): threading.Thread.__init__(self) self.runtime = e def run(self): while self.runtime.is_set(): # time.sleep(2) threadLock.acqui...
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# -*- coding: utf-8 -*- """ Created on Mon Nov 25 16:21:55 2019 Name:Vishal Kumar ASU ID: 1215200480 """ import numpy as np import pandas as pd import keras from keras.models import Sequential, Model from keras.layers import Input, Dense, Flatten, Embedding, merge, concatenate from keras.preprocessing.text...
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# coding: utf-8 """ Flagr Flagr is a feature flagging, A/B testing and dynamic configuration microservice. The base path for all the APIs is \"/api/v1\". # noqa: E501 OpenAPI spec version: 1.1.10 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import abso...
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"""THIRD PARTY LIBRARY IMPORTS""" import win32api """LOCAL LIBRARY IMPORTS""" from moduleForFindingTuplesTime import create_dict from moduleForFindingPressTimes import create_dict from moduleForRecordingTimelines import start_recording __verison__ = '1.0' __author__ = 'Matthew Nowak and Zachary Nowak'
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''' # zip(a) 표현과 zip(*a) unpacking 표현을 잘 기억하자.. def solution(arr1, arr2): return [[sum(a*b for a, b in zip(A_row,B_col)) for B_col in zip(*arr2)] for A_row in arr1] ''' def solution(arr1, arr2): answer = [[0 for _ in range(len(arr2[0]))]for _ in range(len(arr1))] for i in range(len(arr1)): for j in...
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suwon0521@naver.com
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# sl 141 prednaska02 from fei.ppds import * import random from time import sleep # DVOJFAZOVA BARIERA # pomocou nabijania turniketu class DoubleBarrier: def __init__(self, N): self.N = N # pocet vlaken ktore sa maju stretnut self.counter = 0 # pocitadlo vlaken self.mutex = Mutex...
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#!"C:\Users\Stuti Pandey\PycharmProjects\HTML\venv\Scripts\python.exe" # EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip' __requires__ = 'pip==10.0.1' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys....
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caomengnb/Python_example
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import cmath import numpy as np import cv2 import matplotlib.pyplot as plt import random import time import datetime import glob from imutils.object_detection import non_max_suppression pai = 3.1415926 img = cv2.imread("1.jpg", 1) height, width, mode = img.shape print('图像尺寸:',height,width,mode) #--------------------...
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StevenGarc/DrogueriaEspecial
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import csv from requests import NullHandler from requests.api import options from woocommerce import API """Configuracion Produccion""" """ wcapi = API( url="https://www.drogueriaespecial.com/", # Your store URL consumer_key="ck_cace5342881a49681854b8ece5561bac9a204ea5", # Your consumer key consumer_sec...
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cash2one/xai
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#calss header class _OMENS(): def __init__(self,): self.name = "OMENS" self.definitions = omen self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.basic = ['omen']
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# class Student: # # def __init__(self,id,nm,age,sal): # self.sid=id # self.stname=nm # self.stage=age # self.stusalary=sal # # def __str__(self): # return f'{self.__dict__}' # # def address(self,add1): # self.addr= add1 # # # s1=Student(id=1,nm='ppp',age=25,s...
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manojkumar00158/python_training_deepaksir
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list_1 = ['color','white','black']#taking the colors of t-shirts as input list_2 = ['short','medium','large','xl']#taking sizes of t-shirts as input for color in list_1: for size in list_2: #using cartesien product asking to give output as the combinations of color and size of t-shirts we ...
[ "noreply@github.com" ]
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from .mux import RWLock
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FSchierok/schierok.de_alt
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from django.apps import AppConfig class RgnbgnConfig(AppConfig): name = 'rgnbgn'
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arroba = False punto = False correo = input("Introduza correo electrónico: ") for i in correo: if (i=="@"): arroba=True print("hay arroba") else: if (i=="."): punto=True print("hay punto") if (arroba and punto): print("El email es correcto.") else: print("El email es incorrecto.")
[ "arieldelgadillo444@gmail.com" ]
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prography/humony
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# Generated by Django 2.1.7 on 2019-06-14 15:37 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('picxi', '0006_remove_inpic_color_list'), ] operations = [ migrations.RemoveField( model_name='outpic', name='seg_id', ...
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vincentmwanza/Sample-api
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# Generated by Django 2.2.1 on 2019-06-01 17:10 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('languages', '0001_initial'), ] operations = [ migrations.RenameModel( old_name='Language', new_name='LanguageModel', ...
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