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# -*- coding: utf-8 -*- """ Created on Tue Apr 2 22:28:09 2019 @author: amruta.kulkarni """ # TODO: Add import statements import pandas as pd import numpy as np from sklearn.linear_model import Lasso from sklearn.preprocessing import StandardScaler # Assign the data to predictor and outcome variables ...
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from django.apps import AppConfig class GameofthronesappConfig(AppConfig): name = 'GameofThronesApp'
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"""Diff tree builder.""" ADDED = "added" REMOVED = "removed" UNCHANGED = "unchanged" CHANGED = "changed" NESTED = "nested" def build_tree(data1: dict, data2: dict) -> dict: # noqa: C901 """Build diff tree. :param data1: data #1 :param data2: data #2 :return: difference between two nodes """ ...
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# coding=utf-8 # Copyright 2018 Google LLC & Hwalsuk Lee. # # 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 ...
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import pygame pygame.init() win = pygame.display.set_mode((500, 500)) pygame.display.set_caption("First Game") x = 50 y = 425 width = 40 height = 60 vel = 5 isJump = False jumpCount = 10 run = True while run: pygame.time.delay(100) for event in pygame.event.get(): if event.type == pygame.QUIT: ...
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import boto3 import json import os dynamodb = boto3.resource('dynamodb') table_name = os.environ.get('dynamodb_table_name') table = dynamodb.Table(table_name) def lambda_handler(event, context): print("******* Begin Execution *********") print('***** Another line of debug statements *****') print("EVENT:...
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count:int = 0 count2:int = 0 count3:int = 0 count4:int = 0 count5:int = 0 def foo(s: str) -> int: return len(s) def foo2(s: str, s2: str) -> int: return len(s) def foo3(s: str, s2: str, s3: str) -> int: return len(s) def foo4(s: str, s2: str, s3: str, s4: str) -> int: return len(s) def foo5(s: str,...
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import logging import salt.exceptions import requests from requests.compat import urljoin LOG = logging.getLogger(__name__) # Project def get_project(name): session, make_url = get_session() resp = session.get(make_url("/api/18/project/{}".format(name))) status_code = resp.status_code if status_co...
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# Pong : options.py # Boredom Project import random class Options: def __init__(self): self.oneplayer = False self.twoplayer = True self.cpulevel = 0 # Paddle Options self.pSpeed = 3 self.c_paddle1 = [ 0, 255, 255] self.c_paddle2 = [255, 0, 255] ...
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import pandas as pd import numpy as np import sys import streamlit as st import datetime from pyathena.connection import Connection from pyathena.pandas_cursor import PandasCursor @st.cache def load_athena(location): sql = "SELECT * FROM test_linelist where partition_0='"+location+"' limit 10000" cursor = Connect...
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#Developers: Kuzmin.E: 50% # Mauter.A: 50% import urllib.request import re as r file_out = open('output.txt','w') file_out.close() with open('input.txt') as inp_file: for line in inp_file.readlines(): url = line f = urllib.request.urlopen(url) s = f.read() ...
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from plone.app.testing import PLONE_FIXTURE from plone.app.testing import PloneSandboxLayer from plone.app.testing import IntegrationTesting from plone.app.testing import FunctionalTesting from plone.app.testing import applyProfile from zope.configuration import xmlconfig class MisitioUtilities(PloneSandboxLayer): ...
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def sum_digit(num): """ :param num: :return: """ count = 0 for item in str(num): count += int(item) return count print(sum_digit(1234))
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print("My name is Jean")
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import logging import io import codecs import difflib from tempfile import NamedTemporaryFile from contextlib import ContextDecorator from . import utils logger = logging.getLogger(__name__) __escape_decoder = codecs.getdecoder('unicode_escape') class File(ContextDecorator): def __init__(self, name, storage=Non...
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import pygame, sys, random CHUNK_SIZE = 8 # generating a grid def generate_chunk(x,y): chunk_data = [] for y_pos in range(CHUNK_SIZE): for x_pos in range(CHUNK_SIZE): target_x = x * CHUNK_SIZE + x_pos target_y = y * CHUNK_SIZE + y_pos tile_type = 0 # nothing ...
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#!/usr/bin/python from sys import argv import os import sys scriptName, firstArg, secondArg = argv inFileName = str(firstArg) maxLineLen = int(secondArg)# 110 def exists(path): try: f = open(path) f.close() return True except IOError: return False if False==exists(inFileName...
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import hashlib, json, os from hashlib import sha256 from web3 import Web3, HTTPProvider # from web3.auto import w3 # from interface import ContractInterface from flask import Flask, escape, request from datetime import datetime ROOT_DIR = os.path.dirname(os.path.realpath(__file__)) NANO_COIN_DIR = os.path.abspath('./...
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from django.contrib import admin from user_app.models import UserProfile admin.site.register(UserProfile)
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# Generated by Django 3.1 on 2020-10-16 17:14 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('Gimnazium', '0001_initial'), ] operations = [ migrations.AlterField( model_name='zamena', name='lesson', f...
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# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.m...
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elementos={'a':1,'b':2,'c':3,'a':4} #no se permiten las llaves duplicadas # elementos={} # elementos['nombre']='Cody' #crea la llave ya que no existe # elementos[(1,2,3)]='la llave es una tupla' # elementos['nombre']='CodigoFacilito' #como si existe la llave actualiza el valor de la llave print(elementos) print(len(...
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""" Django settings for session_words project. Generated by 'django-admin startproject' using Django 1.10. For more information on this file, see https://docs.djangoproject.com/en/1.10/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.10/ref/settings/ """ impor...
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""" simple linear regression - regression function with only one feature create best fit line to map out linear relationship """ import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns # importing excel file that has data for regression function df = pd.read_csv('UNZIP_ME_FOR_NOTE...
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#! /usr/bin/env python3 import random PACKET_LEN = 4 REPEAT = 4 RANDRANGE = 10 # 入力ファイル fy = open('y.txt', 'w') ffrom_right = open('from_right.txt', 'w') fx = open('x.txt', 'w') fr = open('r.txt', 'w') fref = open('ref.txt', 'w') # 比較ファイル for i in range(REPEAT): for packet_no in range(PACKET_LEN): a = ra...
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import math def calcula_volume_da_esfera(r): volume_esfera = 4 / 3 * math.pi * r ** 3 return volume_esfera
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import cv2 import numpy as np import HandTrackingModule as htm import time import pyautogui import requests cap = cv2.VideoCapture(0) ret, imgOriginalScene = cap.read() # wCam, hCam = 640, 480 url = "http://192.168.1.73:8888/shot.jpg" img_resp = requests.get(url) img_arr = np.array(bytearray(img_resp.content), ...
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# coding: utf-8 from lib.models.userbase import UserBase class Admin(UserBase): def to_string(self): return { "id": self.id, "username": self.username, "nickname": self.nickname, } def to_detail_string(self): return self.to_string()
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from django.urls import path from testapp import views urlpatterns = [ path('form/',views.form_view,name='forms'), path('thankyou/',views.thankyou_view,name='thankyou'), path('list/',views.list_view,name='list'), path('elist/',views.elist_view,name='elist'), path('eform/',views.eform_view,name='efo...
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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, "build_v8_with_gn": "false", "coverage": "false", "debug_ngh...
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import vrep import cv2 import numpy as np from vision import ImageAnalyser from ai import AI import yaml import math print ('Program started') vrep.simxFinish(-1) # just in case, close all opened connections deltaT = 0.05 clientID = vrep.simxStart('127.0.0.1', 12345, True, True, 5000, 5) # Connect to V-REP with open...
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# -*- coding: utf-8 -*- """ Created on Sat Mar 03 21:43:01 2020 @author: Meet """ ### Note: This implementation has been inspired and taken from : https://github.com/tensorflow/models/blob/master/research/slim/nets/inception_v3.py import tensorflow as tf import models.Inception_v3_config as Inception_v3_config fro...
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# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If ex...
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# Generated by Django 3.2 on 2021-05-09 23:42 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('main', '0008_auto_20210509...
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"""faces-config.xml migration module""" #!/usr/bin/python3 # -*-coding:utf-8 -* from lxml import etree as ET from migration.utils.change_definition import ChangeDefinition class FaceConfigMigration: """faces config migration class""" def parse_xml(cls, file_path): """parse the web.xml update definition ...
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''' Reverse a singly linked list. Example: Input: 1->2->3->4->5->NULL Output: 5->4->3->2->1->NULL Follow up: A linked list can be reversed either iteratively or recursively. Could you implement both? ''' # Definition for singly-linked list. class ListNode(object): def __init__(self, x): self.val = x self.ne...
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from __future__ import unicode_literals import os import re from functools import wraps import yaml from flask.helpers import get_root_path from fossir.core import signals from fossir.core.settings import ACLProxyBase, SettingProperty, SettingsProxyBase from fossir.core.settings.converters import DatetimeConverter...
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import socket # the public network interface HOST = socket.gethostbyname(socket.gethostname()) # create a raw socket and bind it to the public interface s = socket.socket(socket.AF_INET, socket.SOCK_RAW, socket.IPPROTO_IP) s.bind((HOST,0)) # include IP headers s.setsockopt(socket.IPPROTO_IP, socket.IP_HDRINCL,...
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history = [] for i in range(10): history.append(list(map(int, input().split()))) curr = 0 ans = 0 for out_, in_ in history: curr -= out_ curr += in_ if ans < curr: ans = curr print(ans)
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# -*- coding: utf-8 -*- import json from scrapy.exceptions import DropItem # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html class DianpingRobotPipeline(object): def process_item(self, item, spide...
[ "343936465@qq.com" ]
343936465@qq.com
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86a7ab3a80f0a31631e158e4cb569f2919580a01
/Humidity.py
633179dd25d4a1edeabb89d214f1e1ad9518eb74
[]
no_license
shantanukawale/IoT-Smart-Village
4a352c28b624d0d042fec678f5594312be76454d
8385fcee77ef46485fa96d628fce0cb02e77e2ec
refs/heads/master
2021-04-28T10:31:02.307916
2018-02-19T14:24:29
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122,066,288
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py
#!/usr/bin/python import sys import json import Adafruit_DHT from twilio.rest import Client import requests #gpio pin no. 4 ACCOUNT_SID = 'hidden' AUTH_TOKEN = 'hidden' TWILIO_PHONE ='hidden' RECEIVER_PHONE = 'hidden' client1 = Client(ACCOUNT_SID,AUTH_TOKEN) msgcounter=0 temperature0=0 humidity0=0 while True: humi...
[ "noreply@github.com" ]
noreply@github.com
a006631c4dab14b3214fd98d5e5768fdb65b199b
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/chap_04/08_linear_regression.py
67109a6d2731f5439a578edd037bf74543e1754e
[]
no_license
jaeyong1/deeplearningforus
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c5e7ac8152bca48ba3feb81f752ed664c83b1d4f
refs/heads/master
2020-03-27T11:11:36.896866
2019-11-11T14:20:04
2019-11-11T14:20:04
146,471,184
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UTF-8
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py
import tensorflow as tf # 학습데이터 (X, Y) x_train = [1, 2, 3, 4] y_train = [6, 5, 7, 10] # 변수 선언 W = tf.Variable(tf.random_normal([1]), name='weight') b = tf.Variable(tf.random_normal([1]), name='bias') # 가설식 정의 H(x) = Wx+b hypothesis = x_train * W + b # cost/loss function cost = tf.reduce_mean(tf.square(hypothesis - ...
[ "bjpublic@bjpublic.co.kr" ]
bjpublic@bjpublic.co.kr
62d5c24f0840174a493b4036c242af7859a52887
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/gi-stubs/repository/ICalGLib/__init__.py
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2022-09-23T12:58:44.526554
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2020-06-05T15:57:54
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# encoding: utf-8 # module gi.repository.ICalGLib # from /usr/lib64/girepository-1.0/ICalGLib-3.0.typelib # by generator 1.147 """ An object which wraps an introspection typelib. This wrapping creates a python module like representation of the typelib using gi repository as a foundation. Accessing attributes o...
[ "ttys3@outlook.com" ]
ttys3@outlook.com
cd88f83ee9f8fb73fc93451d35fdc1274430f2a7
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/codeforces/118A.py
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[]
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codexetreme/competitivecoding
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2021-07-21T15:37:40
2021-07-21T15:37:40
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py
s = input() s = s.lower() k = ['a','e','i','o','u','y'] p = '' for i in s: if i not in k: p+='.' +i print (p)
[ "yashodhanghadge@gmail.com" ]
yashodhanghadge@gmail.com
f1050dd00829735601b13a46b8123ff00a1457bb
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/Actions/RestoreHP.py
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[]
no_license
TAEB/Eeek
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2020-05-21T11:56:14.102703
2013-06-26T23:17:52
2013-06-26T23:17:52
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from Kernel import * class RestoreHP: def __init__(self): pass def can(self): if Kernel.instance.Hero.curhp <= (Kernel.instance.Hero.maxhp/2): return True def execute(self): Kernel.instance.log("Searching for 10 turns becuase my HP is low") Kernel.instance.Hero...
[ "code@sartak.org" ]
code@sartak.org
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/hourglass/test.py
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[]
no_license
tankche1/Deep-Learning
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refs/heads/master
2020-04-06T04:06:32.126195
2017-02-25T12:00:26
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py
import re import os import scipy.io as sio import matplotlib.pyplot as plt import numpy as np from PIL import Image import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable import torch import torch.optim as optim currentPath=os.getcwd() #torch.setdefaulttensortype("torch.FloatTensor"...
[ "15307130191@fudan.edu.cn" ]
15307130191@fudan.edu.cn
da0c3ef33974d59429749db9ddb2ca3d448e380c
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/python/gbpPy/gbpPy/log.py
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[]
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gbpoole/gbpPy
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4c07e4cf4e546b3164556a237f6f8c205d6d5827
refs/heads/master
2021-05-13T20:35:55.069302
2018-02-16T00:15:47
2018-02-16T00:15:47
116,915,468
0
0
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py
"""Code for generating log messages Developed with the following library versions: python: 3.5.2 """ import sys import time class log_stream(object): """This class manages the formatting of log output.""" def __init__(self): self.t_start = time.time() self.t_last = sel...
[ "gbpoole@gmail.com" ]
gbpoole@gmail.com
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/analytics/execution/quality.py
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[]
no_license
andreas-koukorinis/example_nbs
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0bc87ab8dd94c5173030ab42c8515b233a2b9a82
refs/heads/master
2020-06-24T13:31:52.698432
2019-07-31T16:31:12
2019-07-31T16:31:12
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py
import logging from calendar import monthrange, month_name from datetime import datetime, timedelta import pandas as pd from jinja2 import Template from sgmtradingcore.analytics.commissions import get_commission_rates_for_user from sgmtradingcore.analytics.execution.tennis_sip import execution_data_tennis_sip from sg...
[ "akoukorinis@gmail.com" ]
akoukorinis@gmail.com
bb48e7c4bfc20aec2a22275c04f2ea172f932099
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/app.py
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[]
no_license
kruthik-jt/Signzy
ed10acee97ed67dc0e59b63ed80c982fcff9466d
5da3303888fda315e2032fe5eb56db2cd344f62a
refs/heads/master
2022-07-06T06:44:14.188306
2020-05-17T05:52:55
2020-05-17T05:52:55
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UTF-8
Python
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py
from project import app,db #Run the application if __name__=='__main__': app.run(debug=True,port=5000)
[ "jt.kruthik@gmail.com" ]
jt.kruthik@gmail.com
77aedfed99236427961ec32a6562e29b523d3931
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/main.py
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[]
no_license
jeremymelamed/Network-Hub-Disruption-Probabilities
ee5597d3fdce024cac3be4bed5e40c298ebb2b19
e6d5181fab2d026697700aa2d13c55b85d868d3e
refs/heads/master
2021-01-22T17:29:33.344622
2017-05-30T15:31:44
2017-05-30T15:31:44
85,022,502
0
0
null
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UTF-8
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2,919
py
import os import numpy as np import datetime from generate_network import generate_network # Read parameters from txt file path = os.getcwd() with open(path + '\Params.txt', 'r') as f: Params = [] for line in f: Params.append(line) # Store parameter values. Ask user if parameters are co...
[ "noreply@github.com" ]
noreply@github.com
922a6e467dc879c0f3802ab8435d16806647e508
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/bigquery/samples/update_dataset_description.py
70be80b7507e448235ebe87355fcb8f9df7bf7c2
[ "Apache-2.0" ]
permissive
nthon/google-cloud-python
f42036035805e7fd83b53ec1702da56406fc87a6
fc4590bcceac8ee154556fd1b6c7d436be8ea53c
refs/heads/master
2022-01-08T01:29:15.162175
2019-06-13T19:32:10
2019-06-13T19:32:10
191,901,204
1
0
Apache-2.0
2019-06-14T07:58:00
2019-06-14T07:58:00
null
UTF-8
Python
false
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1,350
py
# Copyright 2019 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
[ "noreply@github.com" ]
noreply@github.com
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/index/urls.py
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[]
no_license
Zeelcon/music
99e7f9334fa66df8db2f913ffec8f6204b22c677
3eebab4ace8d3cdeb2dfbd4710ef5610ff997494
refs/heads/master
2022-06-06T19:16:55.092617
2020-05-07T18:41:38
2020-05-07T18:41:38
259,558,288
0
0
null
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UTF-8
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py
from django.urls import path from .views import * from django.conf.urls.static import static from django.conf import settings urlpatterns = [ path('', indexView, name='index'), ]+static(settings.MEDIA_URL,document_root=settings.MEDIA_ROOT)
[ "15217458846@163.com" ]
15217458846@163.com
4b878072771083675c1ef9fd929b431bcf3ce12b
1e516d45c6462aefdd468c4a725fa8ac1f096ea0
/AlumniPortal/manage.py
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[]
no_license
prateek-iiitd/IIITDAlumniPortal
04ddae57618679cc02c119b0fc49652e1f1ad49f
1e90935a6cd52e892e9acd3ba689e0a4066ba55f
refs/heads/master
2020-09-24T11:38:23.191730
2015-06-10T23:12:02
2015-06-10T23:12:02
23,381,379
1
1
null
null
null
null
UTF-8
Python
false
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259
py
#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "AlumniPortal.settings_dev") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
[ "prateek11077@iiitd.ac.in" ]
prateek11077@iiitd.ac.in
01d827f8a69e98d1591a4d481705d1001bde1a7f
48f8f80d7c08fc167801de78097ec116b9a0e392
/lak.py
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[]
no_license
Lakshaygrvr/-Task
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9b0d067ddfb599ecc1f836d1a2a44daa6d19c310
refs/heads/master
2022-04-21T23:46:49.090328
2020-04-12T18:04:39
2020-04-12T18:04:39
255,131,136
0
0
null
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null
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UTF-8
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101
py
list2 = [12, 14, -95, 3] for num in list2: if num >=0: print(num, end =" ")
[ "noreply@github.com" ]
noreply@github.com
5b6c295ae5563e56ae9eebb3ff72abaa78917abe
eff669b78809d6b3ce479402e8a301bb0e458929
/apps/goods/models.py
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[]
no_license
tsozh/FreshShop-1
59f31dfe8f1a56c837cccadc33c3aefb18841a13
71650ad663624c4419e89923ef5e9e2003c9ddc3
refs/heads/master
2020-03-21T20:09:58.258575
2018-04-19T12:37:29
2018-04-19T12:37:29
138,990,989
1
0
null
2018-06-28T08:41:29
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null
UTF-8
Python
false
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5,312
py
from datetime import datetime from django.db import models from DjangoUeditor.models import UEditorField # Create your models here. class GoodsCategory(models.Model): CATEGORY_TYPE = ( (1, '一级类'), (2, '二级类'), (3, '三级类') ) name = models.CharField(max_length=20, default='', verbose...
[ "sp726129246@gmail.com" ]
sp726129246@gmail.com
01dca87891811dc9c80df4ec667f35a0d253a385
2d997384a86f0d9c0cdb80a1141908abfdf674cc
/ML_homework8/task.py
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[]
no_license
Alice-Avetisyan/Machine_Learning
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9a0cc83c6d90ef58703a383f066ef857bb124334
refs/heads/master
2021-01-16T09:07:20.435898
2020-06-18T08:44:17
2020-06-18T08:44:17
243,054,222
0
0
null
null
null
null
UTF-8
Python
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1,678
py
from sklearn.datasets import make_classification # Generate a random n-class classification problem X, y = make_classification(100, 3, 2, 1, class_sep=0.5) # 2 of 3 features are informative and 1 is redundant # 100 -> number of samples/rows, # 3 -> number of features/columns, # 2 -> number of informative features...
[ "noreply@github.com" ]
noreply@github.com
8e34a2e597940d4b033ab178c33dd25722a67540
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/step01a_seaIce_monthlyaveraging_RCP45.py
eaf54dd5e6d74de9ac04cfb70b5d4a8a03153cd3
[]
no_license
weilin2018/cesmEnsembleSeaIce
5195bbec3b4c717d4a990e814b0a8aefa1b46857
7dfeac61d421951560b1562c107ffd3b72a292c9
refs/heads/master
2020-09-04T19:31:53.099776
2015-09-29T17:33:19
2015-09-29T17:33:19
null
0
0
null
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UTF-8
Python
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9,864
py
# code written by K. Barnhart in 2014 and 2015 in support of # Barnhart et al., TITLE, YEAR # # this code represents the first step in analysing the CESMLE sea ice output # it creates monthly averages of the sea ice concentration and sea ice extent. # # to run it, please verify that all the modules listed below are i...
[ "katy.barnhart@gmail.com" ]
katy.barnhart@gmail.com
9e30f6dd5e43574bbc8c96b3976c5ed164f00864
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/source/res/scripts/client/vehicle_systems/components/__init__.py
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[]
no_license
StranikS-Scan/WorldOfTanks-Decompiled
999c9567de38c32c760ab72c21c00ea7bc20990c
d2fe9c195825ececc728e87a02983908b7ea9199
refs/heads/1.18
2023-08-25T17:39:27.718097
2022-09-22T06:49:44
2022-09-22T06:49:44
148,696,315
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39
null
2022-09-14T17:50:03
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UTF-8
Python
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132
py
# Python bytecode 2.7 (decompiled from Python 2.7) # Embedded file name: scripts/client/vehicle_systems/components/__init__.py pass
[ "StranikS_Scan@mail.ru" ]
StranikS_Scan@mail.ru
373a27235958fdefb11425b7fd3ab72a084d1118
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/Challenge/app.py
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[]
no_license
kaileymd/Mission-to-Mars
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d1b0fc695378835a2e1eb350dec7c7bc5a15afd9
refs/heads/main
2023-04-26T00:16:56.031101
2021-05-10T00:10:43
2021-05-10T00:10:43
363,551,378
0
0
null
null
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null
UTF-8
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false
685
py
#import dependencies from flask import Flask, render_template, redirect, url_for from flask_pymongo import PyMongo import scraping #set up Flask app = Flask(__name__) #use flask_pymongo to set up mongo connection app.config["MONGO_URI"] = "mongodb://localhost:27017/mars_app" mongo = PyMongo(app) #set up Flask routes...
[ "kaileymichelledavis@gmail.com" ]
kaileymichelledavis@gmail.com
10ebb5a33de3a78479eeeeab0075a4ed9b9b5b16
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/Part B/Letter.py
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[]
no_license
priyanshkedia04/Codeforces-Solutions
2d11cb7b8329fe658f983b7212c17fc89fd784f0
a5197c633bf4c3238f48bfb5b308144c2ffba473
refs/heads/main
2023-06-06T13:10:13.787843
2021-07-01T14:06:52
2021-07-01T14:06:52
382,000,707
0
0
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UTF-8
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276
py
from collections import Counter s1 = dict(Counter(list(input()))) s2 = dict(Counter(list(input()))) count = 0 if ' ' in s2: del s2[' '] for i in s2: if i in s1 and i: if s1[i] >= s2[i]: count += 1 if count == len(s2): print("YES") else: print("NO")
[ "noreply@github.com" ]
noreply@github.com
cbd95a08af52867605dec93bb7e52c3b596fa13f
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/main_app/migrations/0003_auto_20200624_0305.py
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[]
no_license
jsohnfile/Issues-That-Matter
90f05721256d08471fdbcc84a1a61a5c2e7b10ee
209d494c708374ab6d37c97e17723796e567fe88
refs/heads/master
2022-11-13T03:11:49.003043
2020-06-25T22:58:56
2020-06-25T22:58:56
274,191,967
0
0
null
2020-06-22T16:42:25
2020-06-22T16:42:25
null
UTF-8
Python
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399
py
# Generated by Django 3.0.5 on 2020-06-24 03:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main_app', '0002_auto_20200623_2225'), ] operations = [ migrations.AlterField( model_name='resource', name='og_descr...
[ "macuser@Mac-User.local" ]
macuser@Mac-User.local
faa73d709c2e0e1f15d70e64fb2dd202e389c91c
047da0d824ab7f2f558b1cc8a147a0f0901949ef
/wave.py
b517bab3557d43a16718970b11980c1f873690ad
[]
no_license
rjwebb/responsive_term
177c51a8d4f284c9987da4f979573f0bb120409f
805fe5afc43d175df40565da613231c45b979680
refs/heads/master
2021-01-12T17:06:43.871627
2016-10-20T22:17:58
2016-10-20T22:17:58
71,508,647
0
0
null
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null
UTF-8
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3,237
py
from __future__ import division import math import os import sys import time class ResponsiveTerminalApplication: i = 0 rows = 80 columns = 50 def __init__(self, fps=30, timeout=float('+inf')): self.quantum = 1 / fps self.timeout = timeout def update_dims(self): o = os.p...
[ "bob.wbb@googlemail.com" ]
bob.wbb@googlemail.com
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from setuptools import setup def readme(): with open('README.rst') as f: return f.read() setup(name='pybalboa', version='0.2', description='Module to communicate with a Balboa spa wifi adapter', long_description='Module to communicate with a Balboa spa wifi adapter', url='https:/...
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class InstTable: # inst.data 파일을 불러와 저장하는 공간 instMap = dict() # 클래스 초기화. 파싱을 동시에 처리한다. # @param instFile : instuction에 대한 명세가 저장된 파일 이름 def __init__(self, instFile): self.openFile(instFile) # 입력받은 이름의 파일을 열고 해당 내용을 파싱하여 instMap에 저장한다. def openFile(self, fileName): ...
[ "noreply@github.com" ]
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import urllib2 from bs4 import BeautifulSoup page = urllib2.urlopen('http://www.google.de/') soup = BeautifulSoup(page) #print(soup) print(soup.title) for link in soup.find_all('a'): print(link.get('href'))
[ "info@fabianmichaelis.de" ]
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import numpy as np import matplotlib.pyplot as plt import math t = [5,6,7,8,9,10,11,12] #Creating the list. Logorithm of sample size. Will be plotted in x-axist_0 = [28.000000,35.000000,28.000000,33.875000,21.937500,26.468750,25.031250,35.648438] t_1 = [12.000000,19.000000,14.750000,8.750000,16.562500,13.281250,16....
[ "mdmkhan@dhcp-asv-72.helsinki.fi" ]
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i=input("are you hungry") if i=='yes': print("eat pizza") else: print("do work")
[ "you@example.com" ]
you@example.com
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import numpy as np import tensorflow as tf from inputs import voc from scipy.misc import imresize class DataGen: def __init__(self, name='NoName'): self.name = name def __repr__(self): return '{}(n_examples={})'.format(self.name, len(self)) def __len__(self): raise NotImplemente...
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n=int(input("Enter the value: ")) def fun(n): y = 1 for i in range(1,20): y = y * n result = 1 / y print("%.3f" %result,end=' ') print("%.3f" %(1/n**i),end=' ') fun(n)
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import numpy as np # 导入pandas用于数据分析。 import pandas as pd train_data = pd.read_csv('data/train.csv') test_data= pd.read_csv('data/test.csv') test_data['Survived']=0 # combined_train_test=train_data.append(test_data) #查看字段属性有哪些 # train_data.info() # test_data.info() #机器学习有一个不太被初学者重视,并且耗时,但是十分重要的一环,特征的选择...
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""" filename: ObserverBase.py description: Doctest Examples: >>> class MyVisualizer(Visualizer): ... def drawAnno(self,anno): ... pass ... >>> m = MyVisualizer(Annotation) >>> class MyCollector(Collector): ... def mergeCollections(self,anno): ... pass ... >>> class Annotation2(Annot...
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# -*- coding: utf-8 -*- import math m=int(input('digite o número de termos:')) a=4 pi=0 for i in range(2,m+1,2): b=i+1 c=b+1 pi=3+(a/(i*b*c) print('%.6d'%pi)
[ "rafael.mota@ufca.edu.br" ]
rafael.mota@ufca.edu.br
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[]
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from cs50 import SQL # Create SQL db open("crm.db", "w").close() db = SQL("sqlite:///crm.db") #Create table within database db.execute("CREATE TABLE network (id INTEGER, name TEXT, cohort TEXT, hometown TEXT, past_industry TEXT, goal_industry TEXT, PRIMARY KEY(id))")
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from .alice_blue import AliceBlue, TransactionType, OrderType, ProductType, LiveFeedType, Instrument __all__ = ['AliceBlue', 'TransactionType', 'OrderType', 'ProductType', 'LiveFeedType', 'Instrument']
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#!/usr/bin/python # Import modules for CGI handling import cgi, cgitb import sys import datetime as dt from datetime import datetime def report(report_type,sdate,edate): op = report_type if op == "1": opcode = 1 elif op == "2": opcode = 2 elif op == "3": opcode = 3 else: ...
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from django.core.cache import caches from rest_framework import serializers from rest_framework.exceptions import ValidationError from common.models import User, Role, UserRole, CatDisease, Medicine, DogDisease from maggieapp.utils import USERNAME_PATTERN, EMAIL_PATTERN, TEL_PATTERN, to_md5_hex, PASSWORD_PATTERN cla...
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[]
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carteira = float(input('Quanto dinheiro voce tem na carteira?R$')) dol = carteira/3.27 print('Com R${:.2f} voce pode comprar US${:.2f}'.format(carteira, dol))
[ "ivo_vilar@hotmail.com" ]
ivo_vilar@hotmail.com
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DushyanthaHerath/python-smpp
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import logging import sys import smpplib.gsm import smpplib.client import smpplib.consts # if you want to know what's happening logging.basicConfig(level='DEBUG') # Two parts, UCS2, SMS with UDH parts, encoding_flag, msg_type_flag = smpplib.gsm.make_parts(u'Sample Text\n'*10) client = smpplib.client.Client('172.17....
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lyndadream/Numerical_analysis
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#fixed-point iteration: # f(x)=0 → x=g(x) # x[i+1]=g(x[i]) #use simple fixed-point iteration to locate the root of f(x)=e**(-x)-x #starting with an initial guess of x[0]=0 from numpy import * from pandas import * i=arange(11) x=zeros(11) ea=[' '] et=zeros(11) et_et=[' '] true_value=0.56714329 for n in i: if...
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from src.core.class_ import Test_drink, Test_person from src.core.functions import number_selection from src.core.printing import table def add_name(list_, object_list): firstname_input = input(f"First Name: ") surname_input = input(f"Surname: ") age_input = int(input(f"Age: ")) if firstname_input == ...
[ "bilaalbashir@Bilaals-MacBook-Pro.local" ]
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[ "BSD-3-Clause" ]
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# -*- coding: utf-8 -*- """ Django settings for Open Hardware Repository project. For more information on this file, see https://docs.djangoproject.com/en/dev/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/dev/ref/settings/ """ from __future__ import absolute_im...
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/example3/main.py
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[]
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import numpy as np import os import scipy.sparse as sps import porepy as pp from data import Data from examples.papers.multiscale.multiscale import Multiscale from examples.papers.multiscale.domain_decomposition import DomainDecomposition # ----------------------------------------------------------------------------...
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# model settings model = dict( type='SipMask', pretrained='open-mmlab://resnet101_caffe', backbone=dict( type='ResNet', depth=101, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, norm_cfg=dict(type='BN', requires_grad=False), style='caffe', ...
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import FWCore.ParameterSet.Config as cms MessageLogger = cms.Service("MessageLogger", destinations = cms.untracked.vstring('warnings', 'errors', 'infos', 'debugs'), categories = cms.untracked.vstring('ForwardSim', 'TotemRP'), debugModules = cms.untracked.vstring('*'), ...
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__author__ = 'idans' # class PyTest(TestCommand): # def finalize_options(self): # TestCommand.finalize_options(self) # self.test_args = [] # self.test_suite = True # # def run_tests(self): # import pytest # errcode = pytest.main(self.test_args) # sys.exit(errcode...
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from builtins import range from builtins import object import numpy as np from cs231n.layers import * from cs231n.layer_utils import * class TwoLayerNet(object): """ A two-layer fully-connected neural network with ReLU nonlinearity and softmax loss that uses a modular layer design. We assume an input dim...
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class Solution: def subsets(self, nums: List[int]) -> List[List[int]]: output = [[]] for num in nums: l = len(output) for i in range(l): output.append(output[i] + [num]) return output
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from .models import CustomUser from django import forms from django.contrib import admin from django.contrib.auth.models import Group from django.contrib.auth.admin import UserAdmin as BaseUserAdmin from django.contrib.auth.forms import ReadOnlyPasswordHashField from django.contrib.auth.password_validation import valid...
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from translate import Translator translator= Translator(to_lang="ja") try: with open('./text.txt', mode='r')as my_file: text= my_file.read() translation = translator.translate(text) with open('./text-ja.txt',mode='w')as my_file2: my_file2.write(translation) except FileNotFoundError as e: pri...
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import tensorflow as tf import numpy as np import cv2 uid_to_human = {} for line in tf.gfile.GFile('imagenet_synset_to_human_label_map.txt').readlines(): items = line.strip().split('\t') uid_to_human[items[0]] = items[1] node_id_to_uid = {} for line in tf.gfile.GFile('imagenet_2012_challenge_label_map_proto.pbtxt')...
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class Matematik: def __init__(self, sayi1, sayi2): # constructor self.s1 = sayi1 self.s2 = sayi2 def topla(self): return self.s1 + self.s2 def cikar(self): return self.s1 - self.s2 def bol(self): return self.s1 / self.s2 def carp(self): return sel...
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class purchaseOrderLines(models.Model): _inherit = "purchase.order.lines" def genera_reporte
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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/rohit/catkin_ws/devel/.private/mavros_msgs/include;/home/rohit/catkin_ws/src/mavros/mavros_msgs/include".split(';') if "/home/rohit/catkin_ws/devel/.private/mavros_msgs/include;/home/rohit/catkin...
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from django.urls import path from wiki.views import * urlpatterns = [ path('disease/', disease_info, name='disease'), path('search/', search_disease, name='search') ]
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# 최대 공약수 (GCD) : 두 개 이상의 자연수의 공통인 약수 중 가장 큰 수 # 1. 최대 공약수를 구하는 법 # - 두수의 약수들을 구한다 # - 두수의 약수들을 집합(set)에 넣는다 # - 교집합을 통해 공약수를 찾는다 # - 교집합을 중 가장 큰 수를 찾는다 # 최소 공배수 (LCM) : 두 수의 공배수가 최소인 # 1. 최소 공배수를 구하는 법 # - N * M = L * C 의 식을 통해 값을 구한 def solution(n: int, m: int): gcd_value = gcd(n=n, m=m) lcm_value = lcm(n=n...
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "crike_django.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
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#!/usr/bin/env python3 # Copyright 2016 Google Inc. # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed ...
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