index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
995,800 | daad6ab053c50a7b5eb6d893468626f78fcbae5b | """
"""
import re
from MotifAtlasBaseClass import MotifAtlasBaseClass
from models import session, MotifAnnotation
for loop in session.query(MotifAnnotation).all():
if loop.common_name is not None and loop.common_name != '':
loop.common_name = re.sub('\s?\[.+?\]\s?', '', loop.common_name)
loop.... |
995,801 | 3fcaafeac52c788ee8ebbce1d5b28eb4bbafabbb | from libtool import include_sub_folder_in_root_path
include_sub_folder_in_root_path(__file__, "approot", "libs")
|
995,802 | a4296789b90e4bb28695f51a7bfe7c24c16599d9 | """
Простейшая система проверки орфографии основана на использовании списка известных слов. Каждое слово в
проверяемом тексте ищется в этом списке и, если такое слово не найдено, оно помечается, как ошибочное.
Напишем подобную систему.
Через стандартный ввод подаётся следующая структура: первой строкой — количество ... |
995,803 | 9fa43c8c19e98adb9398cb80407eb8dea853341d | from datetime import date
class Game(object):
__slots__ = 'redPlayer', 'redScore', 'bluePlayer', 'blueScore', 'time', 'skillChangeToBlue', 'redPosChange', 'redPosAfter', 'bluePosChange', 'bluePosAfter', 'redAchievements', 'blueAchievements', 'deletedBy', 'deletedAt'
def __init__(self, redPlayer, redScore, bl... |
995,804 | 5b1387c9d1105b789a0c7f6b1e7a27fd154e6497 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'plugin_window.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
import PyQt5.QtGui as QtGui
import PyQt5.QtWidgets as QtWidgets
import PyQt5.QtCore as QtCore
class Ui_PluginWindow(... |
995,805 | aa2be557ae188b7ce93c3343ab149de290a4f07e | """ Utilties for casting numpy values in various ways
Most routines work round some numpy oddities in floating point precision and
casting. Others work round numpy casting to and from python ints
"""
from numbers import Integral
from platform import processor, machine
import numpy as np
from .testing import setup_t... |
995,806 | caffc9d81b149022e431d6ac1871215e2549b15a | # Jeff Heaton's Kaggle Utilities
# Copyright 2019 by Jeff Heaton, Open Source, Released under the Apache License
# For more information: https://github.com/jeffheaton/jh-kaggle-util
#
# Train from a SK-Learn model.
from util import *
import tensorflow as tf
import tensorflow.contrib.learn as learn
import scipy.stats
... |
995,807 | 08a74c33db1fb5fb0236fa487313183a612d7588 | from flask import Flask, send_from_directory, request, render_template, jsonify
from flask_restful import Api, Resource, reqparse
from flask_cors import CORS #comment this on deployment
from api.HelloApiHandler import HelloApiHandler
from flask_mysqldb import MySQL
from flask_sqlalchemy import SQLAlchemy
import d... |
995,808 | a430a1ddf11e4eae8af9617b340a374536589973 | # Escreva um programa q converta uma temperatura digitando em graus Celsius e converta para graus Fahrenheit.
tc = float(input('Informe a temperatura em ºC: '))
tf = (tc / 5) * 9 + 32
print('A temperatura em Fahrenheit é {}ºF.'.format(tf))
|
995,809 | 3b3e521aa0cbc162facaceae37c93ab03f218eca | from __future__ import print_function
import sys, time
class ProgressBar:
"""
Example:
pb = ProgressBar(n)
for i in range(n):
do_some_action()
pb.advance()
"""
def __init__(self, size, **opt):
prompt = opt.get('prompt', 'Progress: ')
self.size = si... |
995,810 | 0b759ad46bd5683f95e4df58acb36f450b1f70fe |
from ..handlers import action_handler
from ..buttonpress import load_state
# _______________________________________________________________________________________________________________________________
# Entity is an object that represent a single attempt by the computer to complete Sonic 3 and Knunkles
#
# Each En... |
995,811 | d41b111c9495029fd531ada841e4f09faccbf6c8 | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
import configparser
#读写配置文件类
class Config():
def __init__(self, file='config\config.ini'):
self.file = file
self.config = configparser.ConfigParser()
self.config.read(file, encoding="utf-8") # utf-8-sig
# 读取
def get(self, section='', key=... |
995,812 | 6fe994ec528290deb7135050b56340c246d8563e | # -*- coding: utf-8 -*-
"""
Created on Thu May 9 16:00:20 2019
@author: Dinesh Prajapat
"""
user_input = 2, 4, 7, 8, 9, 12
empty_tuple = tuple(user_input)
new_list = list(user_input)
print(new_list)
print(empty_tuple)
|
995,813 | 97735ab99719a1d00736ad63a3a6cb20448b39a3 | import argparse
import sys
import enum
import numpy as np
from typing import Tuple
from PIL import Image, ImageDraw, ImageFont
class Color(enum.IntEnum):
white = 255
black = 0
def _create_fitting_image(text: str, font: ImageFont.ImageFont, bordersize: int, fill_color: Color = Color.white) -> Image.Image:
... |
995,814 | 3924627d6d08dcbbb5b675debc4528703b77d14e | #!/usr/bin/env python
"""Aligns reads in FASTQ files to reference genome."""
import argparse
import subprocess
import sys
import glob
__author__ = 'Alexis Blanchet-Cohen'
__date__ = '2013-01-10'
# Parse arguments
parser = argparse.ArgumentParser(description='Aligns reads in FASTQ files to reference genome.')
parse... |
995,815 | 4f0c56ea84d8fa76b4872151f5bc48905df4aa08 | from pymysql import escape_string
from app import mysql
def lookup_beer(search_term, is_id):
"""Queries the MySQL database for a specific beer by name or id"""
attr = 'id' if is_id is True else 'name'
query = """
SELECT `id`, `name`, `styleid`, `abv`
FROM `beers`
WHERE ... |
995,816 | 0d3cc66d381d0ea4e45f65b6e42ce5ca96087a56 | import itertools
import os
# import matplotlib.pylab as plt
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
print("TF version:", tf.__version__)
print("Hub version:", hub.__version__)
print("GPU is", "available" if tf.test.is_gpu_available() else "NOT AVAILABLE")
module_selection = ("efficie... |
995,817 | 43a4c3e05754ee0951ebc0acdf03fafde4b4cac8 | from os import path
import sqlite3
import csv
import glob
fitnotes_db_path = '~/Downloads/unmodified.fitnotes'
data_csv = '~/Downloads/withings.csv'
# "2015/02/01"
def date_format_(input_date):
(m, d, y) = input_date.split('/')
while len(m) < 2:
m = '0' + m
while len(d) < 2:
d = '0' + d
... |
995,818 | 00f92c618753214f3e1ac3fdd6d0bc18f1e9c22e | from solutions import is_number_palindrome
import unittest
class TestIsNumberPalindrome(unittest.TestCase):
# Test a palindrome with an even number of digits
def test_positive_even(self):
testnum = 123321
expected = True
actual = is_number_palindrome(testnum)
self.ass... |
995,819 | 6035decd2dc1320b50c3b598144d881aafb76bb3 | import json
import pytest
from app import app
from app.tests.user_test import login_as_head_company
from app.api.department.apiview import department_read_by_pk, department_update_by_pk
@pytest.fixture
def client():
app.config['TESTING'] = True
with app.app_context():
with app.test_client() as client:... |
995,820 | 315928f7b2d2330c40318a01b29eda624cb82ea1 | #!/usr/bin/python
"""
This program to take the messages from Kafka and do read repair for Scylla.
"""
__author__ = "Anshita Saxena"
__copyright__ = "(c) Copyright IBM 2020"
__contributors__ = "Benu Mohta, Meghnath Saha"
__credits__ = ["BAT DMS IBM Team"]
__email__ = "anshita333saxena@gmail.com"
__status__ = "Productio... |
995,821 | bfa93c0a4632170846ee10ba43030cd14a9c8d8d | import torch
from os import path
class L2Loss(torch.nn.Module):
def forward(self, output, target):
"""
L2 Loss
@output: torch.Tensor((B,C))
@target: torch.Tensor((B,C))
@return: torch.Tensor((,))
"""
return torch.mean((output - target) ** 2)
class MLPModel(torch.nn.Module):
def __init__(self, in... |
995,822 | a063c1d7cae5c34f791f976ad2fc5b1be26d92db | # $language = "python"
# $interface = "1.0"
import os
import sys
import logging
import csv
# Add script directory to the PYTHONPATH so we can import our modules (only if run from SecureCRT)
if 'crt' in globals():
script_dir, script_name = os.path.split(crt.ScriptFullName)
if script_dir not in sys.path:
... |
995,823 | 1ca858d8e28f640fce3a04cf554d3493890d0031 | import scrapy
import json
from datetime import datetime
from pymongo import MongoClient
from bson.objectid import ObjectId
from datetime import datetime
from blockchain.spiders.parse_tx import satoshi_to_btc, insert_tx
client = MongoClient('mongodb://localhost:27017')
db = client.btc
class BlockSpider(scrapy.Spider)... |
995,824 | d6ab7dc33f2ae69c622eb0646a530a092abe9248 | from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.layers import Embedding
from keras.layers import LSTM
from keras.layers import Conv1D, GlobalMaxPooling1D, BatchNormalization
from gensim.models import KeyedVectors
from keras.call... |
995,825 | 31fee1a4f67cf9778ff97503263c1ab856e531c7 | import pika
class Publish(object):
def __init__(self,host,msg,queue):
self.host = host
self.comm = pika.BlockingConnection(pika.ConnectionParameters(host=self.host,heartbeat=30))
self.msg = msg
self.queue = queue
def send(self):
self.channel = self.comm.channel()
... |
995,826 | 660fe2506a679700deb8ae44ecabeed04aede1bf | #Desenvolva um programa que pergunte a distância de uma viagem em Km. Calcule o preço da passagem, cobrando R$0,50 por Km para viagens de até 200Km e R$0,45 parta viagens mais longas.
viagem = float(input('Digite a distancia da viagem: '))
if viagem <= 200:
passagem = 0.50 * viagem
print('Sua viagem curta cus... |
995,827 | 8867551e9e17bbb830e28277d502fa19e4f9e23d | #!/usr/bin/env python
#
from __future__ import print_function
import rospy
from sensor_msgs.msg import JointState
from markers import *
from functions import *
import numpy as np
# Initialize the node
rospy.init_node("testKineControlPosition")
print('starting motion ... ')
# Publisher: publish to the joint_states to... |
995,828 | f05b88949c1984783f4bf656ce6e619f5fabe5ed | from django.apps import AppConfig
class UpsFrontendConfig(AppConfig):
name = 'ups_frontend'
|
995,829 | eca5b52a239d539795a68ddd6eca8c4daa0c85df | """
EXPLICIT STRING CASTING
b'foo bar' : results bytes in Python 3
'foo bar' : results str
r'foo bar' : results so called raw string, where escaping special characters is
not necessary, everything is taken verbatim as you typed
"""
normal_string = 'pawel \n loves \t coding'
print(normal_string)
##pawel
## loves co... |
995,830 | 7d8e030cc81cae524b980e8c20fb9cf14d65fbaa | #!/usr/bin/python
'''
(C) 2010-2013 ICM UW. All rights reserved.
'''
import shutil
import time
import re
import os
import sys
###############################################
######## DEFINITION BLOCK #####################
###############################################
def copyFilesNeeded(propsDir,directory,compilati... |
995,831 | 2a79d3c141eba52295394dfb740774a0351dafa6 | # -*- coding: utf-8 -*-
# pragma pylint: disable=unused-argument, no-self-use
"""Function implementation"""
import logging
from algosec.models import ChangeRequestTrafficLine, ChangeRequestAction
from resilient_circuits import function, FunctionResult, StatusMessage
from algosec_resilient.components.algosec_base_com... |
995,832 | 0fb94ff1b9cc51b80248564cb6190369ebcfc2eb | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function, unicode_literals, absolute_import
import os,sys
from io import open
import re
# Python Compatability
if sys.version_info[0] >= 3:
unicode = str
xrange = range
from bottle import HTTPError
from . import utils
from ... |
995,833 | fd1e33434b79b2f2ad3e7b10f926f737d21397a9 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import mako
import json
import os
from girder import constants, events
from girder.utility.model_importer import ModelImporter
from girder.utility.webroot import Webroot
from girder.api.rest import Resource, loadmodel, RestException
from girder.api.describe import Descri... |
995,834 | f99baca36e9ace88b3bffd2387e5d584cdee8e2b | from network import shallow_resnet
from tensorflow.contrib import layers
from tensorflow.contrib.framework.python.ops import arg_scope
from tensorflow.contrib.layers.python.layers import layers as layers_lib
from tensorflow.contrib.layers.python.layers import regularizers
from tensorflow.contrib.layers.python.layers im... |
995,835 | 16a02a7c7f7b517857afa114f64099220a485238 | import sys, pprint
import maya.standalone
maya.standalone.initialize()
from pysideuic import compileUi
#Print what we're running
print "Running " + sys.argv[0]
filepath = ''
#Check for a passed in filepath or ask for one
if(len(sys.argv) < 2):
filepath = raw_input("Need a filepath argument:\n... |
995,836 | 209effd35b5791f239a60501f71328022fddbc0c | from .geometry import rmsd, dihedral
from .plots import sequential, histogram, ramachandran
from .general import trj_data
|
995,837 | 5583958217b8cc8ce61821eb09bd38a231c4f715 | from github import Github
import boto3
import os
GITHUB_API_TOKEN = os.getenv('GITHUB_API_TOKEN')
github_client = Github(GITHUB_API_TOKEN)
codecommit_client = boto3.client('codecommit')
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[... |
995,838 | 6549df7be885e76d37a10ba2c174316fdad0983c | from .tile_data import TILE_DATA, SPRITE_DATA
from .map_data import MAP_DATA
from .sound_data import SOUND_DATA
from .music_data import MUSIC_DATA
|
995,839 | 3ea2d3fcd32fc85c0e3763ad03f4584f39e05263 | # Generated by Django 3.1.4 on 2021-01-19 14:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('pnr', '0015_remove_pnr_sabre_token'),
]
operations = [
migrations.AddField(
model_name='pnr',
name='sabre_token',
... |
995,840 | 1e3ef80f0ca579872f9e09d9d2a9227633f8ccf9 | """
Implement Selection Sort
"""
def selection_sort(arr):
l = len(arr)
print (arr)
for i in range(l):
#print ("******%s=%s*****" % (i, arr[i]))
index = i
for j in range(i+1, l):
#print ("%s, %s" % (arr[j], arr[index]))
if arr[j] < arr[index]:
index = j
#print ("indy %s=%s" % (arr[i], arr[index]))... |
995,841 | 9665395afbe8feda082d5daa83c5dd1aa4e15a45 | from collections import namedtuple
import torch
from torchvision import models
from utils.constants import SupportedPretrainedWeights
class GoogLeNet(torch.nn.Module):
"""Only those layers are exposed which have already proven to work nicely."""
def __init__(self, pretrained_weights, requires_grad=False, ... |
995,842 | d0cc7d0daafe8d42db165f37227245529379b98d | #!/usr/bin/env python
## \file state.py
# \brief python package for state
# \author T. Lukaczyk, F. Palacios
# \version 4.1.2 "Cardinal"
#
# SU2 Lead Developers: Dr. Francisco Palacios (Francisco.D.Palacios@boeing.com).
# Dr. Thomas D. Economon (economon@stanford.edu).
#
# SU2 Developers: Prof... |
995,843 | 875e2e5534dcca89c1712287d4cbd65b082913a6 | total = 0
for i in range(1, 10):
total += i
print(total)
total2 = 0
i1 = 0
while i1 < 5:
total2 += i1
i1 += 1
print(total2)
my_list = [6, 4, 5, 2, 9, -2, -3, -1, 15] # создаем список
# задача: складывать цифры, пока не упремся в отрицательные, отрицательные не складывать
print(my_list[0]) # квадрат... |
995,844 | c30e0164c82974d5ad1116f18b4ed4f18048ce15 | # -*- coding: utf-8 -*-
# @Author: JinZhang
# @Date: 2018-03-22 13:06:51
# @Last Modified by: JinZhang
# @Last Modified time: 2018-03-23 13:30:03
global _G;
_G = {};
def setG(key,value):
try:
if id(_G[key]):
print("The global var is existed !");
except Exception:
_G[key] = value;
def getG(key):
try:
... |
995,845 | d4228813febed2572fbab155f0039174cc3f3e8f | import argparse
import bz2
import gzip
import json
import io
import os
from datetime import datetime, timedelta
from typing import Any, Callable, List, Optional, Text
from urllib.request import urlopen
try:
import zstandard
except ImportError:
zstandard = None
from .utils import git
from . import log
here ... |
995,846 | 55624f8ae37a9503f570837e00e2d3a23743c0df | """Sample code demonstrating management of Azure web apps.
This script expects that the following environment vars are set:
AZURE_TENANT_ID: with your Azure Active Directory tenant id or domain
AZURE_CLIENT_ID: with your Azure Active Directory Application Client ID
AZURE_CLIENT_SECRET: with your Azure Active Director... |
995,847 | c6b8f712964f2d440d1412f85440d231affb718e | from __future__ import print_function, division
import torch
import torch.optim as optim
from networks.simplenet import SimpleANN
from core.simul import DQNSimulator
from agents.dqn import DQN
from utils.env_wrapper import BasicEnv
from utils.memory import ReplayMemory
TOTAL_STEPS = 50000
TARGET_UPDATE_STEPS = 300
... |
995,848 | b0e2c65f4a7e46790b7a473cee0b6faf809f7438 | import numpy as np
import pandas as pd
import ComputeGrad
from sklearn import datasets
def softmax(a):
C = np.max(a)
exp_a = np.exp(a - C)
if a.ndim == 1:
sum_exp_a = np.sum(exp_a)
y = exp_a / sum_exp_a
else:
sum_exp_a = np.sum(exp_a, 1)
sum_exp_a = sum_exp_a.reshape(su... |
995,849 | a1442af73e484d3952931856c140da779adba2ef | import os
from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.middleware.cors import CORSMiddleware
from starlette.requests import Request
from starlette.responses import JSONResponse
from starlette.routing import Mount, Route
from starlette.staticfiles impor... |
995,850 | e3dbf466a6844e9db7192195067a1bb7e2f7e157 | import time
import pytest
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from sqlalchemy import create_engine
@pytest.yield_fixture()
def driver():
driver = webdriv... |
995,851 | 4af6cb9c7bb537ff2703ef7687f1192daf9d87d3 | class Solution(object):
def rotate(self, nums, k):
length = len(nums)
k %= length
last = nums[-k:]
for i in reversed(range(length - k)):
nums[i+k] = nums[i]
for i in range(len(last)):
nums[i] = last[i]
|
995,852 | fd543a7d33efc6e0942e1b1b1dedf1d8d527c550 | import sys
from Project import app, db
from Project import views
def main():
db.create_all()
app.run(debug=True)
return 0
if __name__=='__main__':
sys.exit(main()) |
995,853 | b27e85b86c13c33a7ec3b8b1f895ae62f8a9f825 | import random
import time
class Car:
def __init__(self, available, now_region, preferred_region, name):
self.available = available
self.now_region = now_region
self.preferred_region = preferred_region
self.name = name
self.to_go = -1
def whether_can_go(self,wan... |
995,854 | 16007d237d05d5ecd7f032bb1c13b45b67fd26a9 | """
===========
Description
===========
The popular video games Fallout 3 and Fallout: New Vegas has a computer hacking mini game
This game requires the player to correctly guess a password from a list of same length words.
Your challenge is to implement this game yourself.
The game works like the classic game of Mas... |
995,855 | 770f20943a5348e1e4b01e91ea579509986227db | def processStream(stream):
ignore_garbage = False
result = 0
open_data = 0
garbage_count = 0
open_garbage = False
for c in stream:
if open_garbage:
if ignore_garbage:
ignore_garbage = False
elif c == '>':
open_garbage = False
... |
995,856 | 31284d45852fe71ecbacb3ea2d7b1b74f85719af | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
import os
#Arrancamos el escenario vnx
def crear():
print("Creamos el escenario")
os.system("sudo vnx -f /home/upm/pfinal/pfinal.xml --create")
#Paramos el escenario vnx y borramos todas las configuraciones
def borrar():
print("Destruimos el escenario")
os.syst... |
995,857 | fd0b6e7e51685b0e3f342ebefa12d4b1d9572459 | class Game:
def __init__(self, date, type, time, time_elapsed, host, guest, index1, pankou, index2, gameId):
self.date = date
self.type = type
self.time = time
self.time_elapsed = time_elapsed
self.host = host
self.guest = guest
self.index1 = index1
self.pankou = pank... |
995,858 | 65fc1d6b80e6c4fbdf4a09a3ef3c1bbca4697b5e | import os
import urlparse
from sqlalchemy import create_engine
from werkzeug.wrappers import Request, Response
from werkzeug.routing import Map, Rule
from werkzeug.exceptions import HTTPException, NotFound
from werkzeug.wsgi import SharedDataMiddleware
from werkzeug.utils import redirect
from jinja2 import Environment,... |
995,859 | 2d630137ef3dcd8ba17a372bdc932c459340373a | """
Main flask app
"""
from flask import Flask, jsonify, request, render_template
app = Flask(__name__)
STORES = [
{
"name": "Nike town San Francisco",
"items": [
{
"name": "Metcon 3",
"price": 130
}
]
}
]
@app.route("/")
def hom... |
995,860 | ef147863281933f5a9ab5a7a3495c4f942ef4f68 | import torch
from hem.models.inverse_module import InverseImitation
from hem.models import Trainer
from hem.models.discrete_logistic import DiscreteMixLogistic
import numpy as np
import matplotlib.pyplot as plt
from hem.datasets.util import MEAN, STD
import cv2
if __name__ == '__main__':
trainer = Trainer('bc_inv... |
995,861 | 3e13d0a2ed65b0ccc1d44b249b0d0eb911dcbf58 | import sys, os, pygame, time
from pygame.locals import *
from math import *
import random
pygame.init()
####------Colours------####
BLACK = ( 0, 0, 0)
BLUE = ( 0, 0, 255)
DARKBLUE = ( 0, 0, 64)
DARKGREY = ( 64, 64, 64)
DARKRED = ( 64, 0, 0)
WHITE = (255, 255, 255)
RED = (255,0,0)
... |
995,862 | 186473b852ab78faa9457b43c7cb210e295da999 | # -*- coding: utf-8 -*-
from django.shortcuts import render
from django.http import HttpResponse
from django.views.generic.base import TemplateView
from django.views.generic.edit import FormView
from booki.utils import log
from booki.editor import models
import os, tempfile
from django import forms
class Uploa... |
995,863 | 077996763e30f3c4344655e34de8736b42841829 | import curses
import sys
def display(copyright="declaration.md"):
copyright_win = curses.newwin(4, 2, 10, 10)
copyright_win.border(0)
try:
with open(copyright) as declaration:
for lines in declaration:
copyright_win.addstr(3, 3, lines)
copyright_win.refre... |
995,864 | a35d6655de94bee39c3af5f18dba2869ca6043fb | from random import randrange
import traceback, sys
import json
from msilib.schema import Class
from flask import Flask
from flask import render_template, redirect, url_for
from flask import request, jsonify
from gensim.models import Word2Vec
from pymystem3 import Mystem
from gensim.models import KeyedVectors
import ge... |
995,865 | ea1955b37bfbaf1de5767a848d23acd3642431f2 | import os
import random
import spacy
from spacy.util import minibatch, compounding
import pandas as pd
TEST_REVIEW = """
Transcendently beautiful in moments outside the office, it seems almost
sitcom-like in those scenes. When Toni Colette walks out and ponders
life silently, it's gorgeous.<br /><br />The movie doesn... |
995,866 | 2ba07f7c4dbf00cce06c2dff5079c9b0a37c4632 | from modeltranslation.translator import TranslationOptions, translator
from .models import MetaTag
class MetaTagTranslationOptions(TranslationOptions):
fields = ('title', 'keywords', 'description')
translator.register(MetaTag, MetaTagTranslationOptions)
|
995,867 | fa110ea5594611b8a70c33167773f8ab264168b0 | import marshal
import numpy as np
import cv2
from collections import namedtuple
from pathlib import Path
from FPS import FPS
import depthai as dai
import time
from math import gcd
from string import Template
SCRIPT_DIR = Path(__file__).resolve().parent
MOVENET_LIGHTNING_MODEL = SCRIPT_DIR / "models/movenet_singlepose... |
995,868 | d4753adeca62e5ea00888a0c0e9f3150cb6be192 | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the balancedSums function below.
def balancedSums(arr):
l_idx=0
r_idx=len(arr)-1
l_sum=arr[l_idx]
r_sum=arr[r_idx]
while l_idx!=r_idx:
if l_sum<r_sum:
l_idx += 1
l_su... |
995,869 | 1a33b75a9770446fe0ee604923b33a19adf4d8cb | def MoreThanHalfNum_Solution(numbers):
# write code here
res = None
cnt = 0
for i in numbers: # 留下数组中出现次数最高的数
if not res:
res = i
cnt = 1
else:
if i == res:
cnt += 1
else:
cnt -= 1
if cnt == ... |
995,870 | 378118936d76bfaca89a2fcbb18648ed2cc8d1f5 | import numpy as np
from snc.agents.hedgehog.params import BigStepLayeredPolicyParams, BigStepPenaltyPolicyParams
from snc.agents.hedgehog.policies.big_step_layered_policy import BigStepLayeredPolicy
from snc.agents.hedgehog.policies.big_step_policy import BigStepPolicy
from snc.agents.hedgehog.workload import workload... |
995,871 | f69a6e76604e6cc2a9c773c23f26203eb96ba6db | #!/usr/bin/env python3
from src import omnibus
if __name__ == '__main__':
print('WARNING: PARAMETERS ARE SET FOR A LOCAL ENVIRONMENT')
omnibus.run(host='127.0.0.1', port = 5001, debug=True) |
995,872 | 12b8761443356aeb81f03541c06c5957fc16d48d | nucleotides = {"A": 0, "C": 0, "G": 0, "T": 0}
def count(file):
for x in file:
if x in nucleotides.keys():
nucleotides[x] += 1
return nucleotides
if __name__ == '__main__':
file = open('/Users/nadiabey/PycharmProjects/rosalind/rosalind_dna.txt', 'r').readlines()[0]
count(file)
... |
995,873 | 869b2bc59722bab5d6538250d191a96ed51b4c67 | from abc import ABC, abstractmethod
from collections import Counter
from typing import Callable, Iterable
from checklisting.result import BaseTaskResult
from checklisting.result.status import TaskResultStatus
class BaseTaskResultStatusValidator(ABC):
def of_results(self, results: Iterable[BaseTaskResult]) -> Ta... |
995,874 | 69ca8d38370f31b4a4505e09b10fc76307287094 | import pygame
import sys
from TileMap import TileMap
from Ant import Ant
import AntBootCamp
# Initialize pygame
pygame.init()
pygame.mixer.init()
pygame.font.init()
# Query the user as to the number of ants to start with.
# Constrain it to 1-100 to prevent ridiculousness.
numAnts = -1
while numAnts == -1:
try:
... |
995,875 | ff3cba0535668303a6162970f00be968aa54488c | """Seed file to make sample data for flask_feedback db."""
from models import User, Feedback, db
from app import app
# Create all tables
db.drop_all()
db.create_all() |
995,876 | 10734c9e529ade925c45b2e611af71e1ec817f04 | # Generated by Django 3.1.1 on 2020-10-04 13:39
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dash', '0015_auto_20201004_1905'),
]
operations = [
migrations.RemoveField(
model_name='qna',
name='... |
995,877 | bf8ce3290780280a97b81ac3e1cff12b1a981d34 | from types import MappingProxyType
from typing import Mapping, Union, Any
from django.contrib.auth.hashers import make_password
DEFAULT_USER_PARAMS: Mapping[str, Union[Any]] = MappingProxyType(
{
"email": "member@messages.com",
"username": "member",
"password": make_password("member_passwo... |
995,878 | 09f62b31cfe8676ca55b264f1b1a63bc41af8aef | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^pushgovtnotification/$', views.pushgovtnotification, name='pushgovtnotification'),
url(r'^getgovtnotifications/$', views.getgovtnotifications, name='getgovtnotifications'),
url(r'raiseinterest/$',views.raiseinterest,name='raiseinte... |
995,879 | 09f3a7ffa72e9d8513f323edcc6fb22ef619c4ba | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Parses a XML file and counts the node types
"""
import xml.etree.ElementTree as ET
import pprint
def count_tags(filename):
osm_file = open(filename, "r")
tags = {}
# get an iterable
context = ET.iterparse(osm_file, events=("start", "end"))
... |
995,880 | 22b35ac5c6419a940e901a7201a78bacb43280e6 | # -*- encoding: UTF-8 -*-
#获取一个 1-100 的随机数 目标值
import random
goalNum = random.randint(1,100)
print('目标值：', goalNum)
num = -1
while num != goalNum:
num = int(input('请输入1-100内的随机数：'))
if num > goalNum:
print('大了')
elif num < goalNum:
print('小了')
print('Congratulations!')
|
995,881 | 31a356964d66761a0ac889d5539bf9c6476862ce | """
Django settings for ktlweb project.
Generated by 'django-admin startproject' using Django 1.9.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.9/ref/settings/
"""
# Build paths i... |
995,882 | 51c50b7258dbcc77369174f0f442dbb506d6dabf | # Copyright 2020 Google
#
# 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, soft... |
995,883 | 8e3fe72d0804cff95ac47f0a90bc8eaded315f9c | from torchtext.datasets import Multi30k
from torchtext.data import Field, BucketIterator, Dataset
import spacy
import numpy as np
import random
import math
import time
import dill as pickle
from transformer import Constants
def tokenize_de(text):
"""
Tokenizes German text from a string into a list of string... |
995,884 | 5950f187ba73da3fdbe9ded868609285cb654f7d | # port definitions from course_vocab to vocab
from connect import connect
def port_definition(cur, course_id, vocab_id):
DEFCOM = """SELECT definition FROM course_vocab
WHERE course_id=%s AND vocab_id=%s
"""
cur.execute(DEFCOM, (course_id, vocab_id))
definition = cur.fetchall()[0][0]
... |
995,885 | c4691bfb93a98281d262f96a301c7df55e5c15ab | # -*- coding: UTF-8 -*-
import unittest
from eolas.lexer import lex
from eolas.parser import parse
class LexTest(unittest.TestCase):
def test_identifiers(self):
idents = ("a", "foo", "___x", "with spaces", "a b c d", "if true")
for ident in idents:
self.assertEqual(ident, next(lex(ide... |
995,886 | 8325094ebe012a6c6a1599e9dfa2ba45fc0b8ede | import tensorflow as tf
# Import TensorFlow Datasets
import tensorflow_datasets as tfds
tfds.disable_progress_bar()
# Helper libraries
import math
import numpy as np
import matplotlib.pyplot as plt
import logging
logger = tf.get_logger()
logger.setLevel(logging.ERROR)
dataset, metadata = tfds.load('fashion_mnist', ... |
995,887 | 279af42b0381bb3ef68d1a336f6368f2c10d7466 | from .caffael_exception import CaffaelException
class MissingInformationError(CaffaelException):
pass
|
995,888 | 23988794e6c3749687d245bd148674f6132d7e51 | """Tests for the Markdown application create API."""
from django.test import TestCase, override_settings
from marsha.core import factories as core_factories
from marsha.core.factories import (
OrganizationAccessFactory,
PlaylistAccessFactory,
PlaylistFactory,
)
from marsha.core.models import ADMINISTRATOR
... |
995,889 | 049fb10c68ae49cdd1a5b58a44242643c9d174e1 | from django.apps import AppConfig
class ProjectsAwardsConfig(AppConfig):
name = 'projects_awards'
|
995,890 | be1a1b49cc7a7f9daf0ecbe7c3ce5afc4ccd8813 |
import tweepy, re, twitterKeys, tag, datetime
RE_EMOJI = re.compile(
u'(\u00a9|\u00ae|[\u2000-\u3300]|\ud83c[\ud000-\udfff]|\ud83d[\ud000-\udfff]|\ud83e[\ud000-\udfff])')
TWEET_COUNT = 2500
PAGE_COUNT = TWEET_COUNT / 100
DIV_BY = 4
auth = tweepy.OAuthHandler(twitterKeys.consumer_key, twitterKeys.consumer_secret... |
995,891 | 5a29113efd0d7f395fc9fc17a8040cdcb71a0b88 | from datetime import datetime
from asyncpg import UniqueViolationError
from aiohttp import web
import hashlib
from gino import Gino
db = Gino()
class BaseModel:
@classmethod
async def get_or_404(cls, id):
instance = await cls.get(id)
if instance:
return instance
raise we... |
995,892 | 863210ff5fb3a498ee29f000684a0c6393c55586 | import re
from typing import Tuple
re_class_name = re.compile(r"([A-Z]*[a-z]*)")
def convert_class_name(name: str) -> str:
"""
>>> convert_class_name('ClassName')
'class_name'
>>> convert_class_name('ABClassName')
'abclass_name'
"""
name_tokens = re_class_name.findall(name)
return "_"... |
995,893 | 0b6a385e583272d4865dc21fd6751b335e10dd5b | #! /usr/bin/env python3
# f(f(x)) = f(x)
def add_ten(num):
return num + 10
# non idempotent example
print(add_ten(add_ten(10)))
print(abs(-10))
# idempotent example
print(abs(abs(-10)) == 10)
|
995,894 | 4bcaf9ed5db498cd2c5d61744ca2276d87cbf6dd | # Camera communication over the internet
# Used to send / receive information about cameras on a network
import socket
import sys
import time
import raspcam.database
import threading
broadcast_message = 'iccom_raspcam_broadcast'
class ICCom:
def __init__(self, isHub, port):
self.isHub = isHub
se... |
995,895 | 3d73a83cfb7b3e52d4f7a56f653c4aea0d8956e0 | import sys
def gcd(a, b):
a, b = max(a, b), min(a, b)
while a % b > 0:
a, b = b, a % b
return b
def solve():
input = sys.stdin.readline
N = int(input())
A = [int(i) for i in input().split()]
gcdA = A[0]
for a in A: gcdA = gcd(gcdA, a)
print(gcdA)
return 0
if __name__ ... |
995,896 | 7322c154dd4f48a158856e20b7418c4224607e6d | import shutil
shutil.copy("country.txt","data.txt")
|
995,897 | 65f62bbf5f5fa5e31621e88b89a97b8537474fb2 | from django.apps import AppConfig
class MosiauthConfig(AppConfig):
name = 'apps.mosiauth'
|
995,898 | d99686bbba3788b8dcc496e8e7e301d1d95e4e10 | # coding: utf-8
import os
import pandas as pd
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
# funções para mostrar as imagens
import numpy as np
import matplotlib.pyplot as plt
import torchvision
import torchvision.transforms as trans... |
995,899 | 438e462224e8289184983601aecd51c3e62029c3 | from _typeshed import NoneType
import requests
from bs4 import BeautifulSoup
import pandas as pd
from datetime import date
import sqlite3
def data_entry(con,code,name,price,date):
command = con.cursor()
table_detail = command.execute(""" SELECT * FROM "Product Code Details" """)
table_rows... |
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