text string | size int64 | token_count int64 |
|---|---|---|
#Author: Rahil Gandotra
#This file consists of the custom Mininet topology used for GPF.
from mininet.topo import Topo
class MyTopo(Topo):
def __init__(self):
Topo.__init__(self)
h1 = self.addHost('h1')
h2 = self.addHost('h2')
s1 = self.addSwitch('s1', listenPort=6675, dpid='0000... | 916 | 422 |
def timeNow():
import time
rightNow = time.localtime(time.time())
date = time.strftime("%a %b %d", rightNow)
time = time.strftime("%H:%M:%S", rightNow)
timeStamp = {
"time": time,
"date": date
}
print timeStamp['time']
return timeStamp
| 250 | 104 |
# coding=utf-8
import logging
import rarfile
import os
from subliminal.exceptions import ConfigurationError
from subliminal.providers.legendastv import LegendasTVSubtitle as _LegendasTVSubtitle, \
LegendasTVProvider as _LegendasTVProvider, Episode, Movie, guess_matches, guessit, sanitize, region, type_map, \
r... | 10,819 | 2,989 |
import re
class Position(object):
def __init__(self):
self.total_in = None
self.total_out = None
self.ticker_symbol = None
self.total_number_of_shares = None
self.remaining_number_of_shares = None
self.open_date = None
self.close_date = None
def format_d... | 1,587 | 567 |
#!/usr/bin/python3
# -*- coding:utf-8 -*-
# Project: http://plankton-toolbox.org
# Copyright (c) 2010-2018 SMHI, Swedish Meteorological and Hydrological Institute
# License: MIT License (see LICENSE.txt or http://opensource.org/licenses/mit).
import time
import codecs
from PyQt5 import QtWidgets
from PyQt5 i... | 15,789 | 4,605 |
#!/usr/bin/env python
# this.py --- Example of This predefined trait
from traits.api import HasTraits, This
class Employee(HasTraits):
manager = This
#---------------------------------------
# Extrat
class Executive(Employee):
pass
fred = Employee()
mary = Executive()
# The following is OK, because fred's... | 481 | 137 |
import boto3
import json
import logging
import os
bucket = os.environ['UPLOAD_BUCKET']
role_arn = os.environ['ASSUMED_ROLE_ARN']
sts_client = boto3.client('sts')
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
def lambda_handler(event, context):
body ... | 1,443 | 454 |
"""2017 - Day 5 Part 2: A Maze of Twisty Trampolines, All Alike tests."""
from src.year2017.day05b import solve
def test_solve():
assert solve("0\n3\n0\n1\n-3") == 10
| 173 | 82 |
import unittest
from manticore.utils.event import Signal
class Sender(object):
def __init__(self):
self.sig = Signal()
self.sig2 = Signal()
class ManticoreDriver(unittest.TestCase):
def setUp(self):
self.state = {}
def tearDown(self):
pass
def setReceived(self, key,... | 1,374 | 457 |
# Generated by Django 3.1.4 on 2020-12-27 17:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('web', '0004_token'),
]
operations = [
migrations.CreateModel(
name='Passwordresetcodes',
fields=[
('... | 745 | 221 |
from distutils.core import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="dbprime",
version="0.1dev",
author="Dalton Dirkson",
author_email="sodakdoubled@gmail.com",
packages=["dbprime",],
)
| 253 | 95 |
# Largest product in a series
'''
The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832.
73167176531330624919225119674426574742355349194934
96983520312774506326239578318016984801869478851843
85861560789112949495459501737958331952853208805511
1254069874715852386305071... | 2,491 | 2,193 |
import os
import re
from contextlib import contextmanager
import numpy as np
import six
__all__ = ['humanize_duration', 'camel_to_underscore', 'NOT_SET',
'cached_property', 'clear_cached_property', 'maybe_close',
'iter_files']
def humanize_duration(seconds):
"""
Format specified time d... | 4,102 | 1,286 |
# -*- coding: utf-8 -*-
"""
Created on 2020/8/6
@project: SPAIC
@filename: Backend
@author: Hong Chaofei
@contact: hongchf@gmail.com
@description:
定义网络仿真使用的backend，如 Pytorch, Tensorflow, CUDA, 达尔文芯片等，以及相应的微分方程求解方法比如 Euler, 2阶 Runge-Kutta等
"""
from abc import abstractmethod, ABC
from collections import OrderedDict
from ... | 54,598 | 15,574 |
import cv2
import numpy as np
from PIL import Image
import os
#Verilerin yolu
path = "veriseti"
recognizer = cv2.face.LBPHFaceRecognizer_create()
detector = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
#imajların alınması ve etiketlenmesi için fonksiyon
def getImageAndLabels(pa... | 1,257 | 519 |
import kivy
from kivy.app import App
from kivy.uix.button import Label
from kivy.uix.colorpicker import ColorPicker
from kivy.graphics import Color, Ellipse, Triangle
from kivy.properties import StringProperty, ObjectProperty
class Titulo(Label):
cadena=StringProperty("Jesus te ama...")
triangle=ObjectProperty(Non... | 1,846 | 754 |
from datetime import date
maior = menor = 0
atual = date.today().year
for c in range(1, 8):
nascimento = int(input(f'Em que ano a {c}ª pessoa nasceu? '))
if atual - nascimento > 20:
maior += 1
else:
menor += 1
print(f'Ao todo, temos {maior} pessoas maiores de idade!')
print(f'Ao todo, temos ... | 356 | 137 |
# -*- coding: utf-8 -*-
# zdfneo.py - Aufruf durch __init__.py/ZDF_get_content
#
# Die Funktionen dienen zur Auswertung der ZDF-Neo-Seiten
#
Neo_Base = 'https://www.neo-magazin-royale.de'
PREFIX = '/video/ardmediathek2016/zdfneo'
##################################################################################... | 6,356 | 2,570 |
import numpy as np
from openbabel import openbabel as ob
import logging
logger = logging.getLogger()
class AtomData:
"""Store atomic data (atomic number, coordinates, bond type, and serial number).
Parameters
----------
atomic_num : int
Atomic number.
coord : array_like of float (size 3)... | 8,732 | 2,746 |
import discord, itertools
from discord.ext import commands, tasks
# Lava is not allowed to change the first text
PRESENCE_TEXT = itertools.cycle(["lava is cute", "*pushes you against wall* wanna play fortnite amongus?", "with ur mum", "owo.exe", "dangit jelly", "gewrhgkhewghkhfuckoiyo5uo", "MiEWcWAFT?? OWOWO"])
class... | 1,379 | 466 |
# Aim is to apply a multiplier to the natural capital scores to reflect the degree of public access
# Challenge is that it is difficult to clip or intersect the complex public access layer with the large and
# detailed OSMM-based base map - it takes days to run and then fails.
# So here we extract a subset of the base ... | 33,808 | 10,700 |
"""
this script parses the pds-rings press release gallery tree at
base_url = "http://pds-rings.seti.org/saturn/cassini/"
if an image already exists in the database it is updated
to get only the most recent month set latest_month_only to True
"""
latest_month_only = True # like I was really going to do this monthly
... | 3,688 | 1,224 |
from flask import Blueprint, jsonify, request
from packit_dashboard.utils import return_json
from packit_dashboard.config import API_URL
api = Blueprint("api", __name__)
# The react frontend will request information here instead of fetching directly
# from the main API.
# This is because it will be easier to implemen... | 856 | 287 |
"""
Authentication Utility Functions
"""
from flask import session
from models import Patient, Doctor, Degree, database
import hashlib, binascii
from config import SECRET_KEY
def get_degrees():
return [ degree.to_dict() for degree in Degree.query.all() ]
def register_user(user_data):
registration_details = ... | 4,959 | 1,495 |
from __future__ import absolute_import, division, print_function
import boost.python
ext = boost.python.import_ext("cctbx_eltbx_covalent_radii_ext")
from cctbx_eltbx_covalent_radii_ext import *
boost.python.inject(ext.table_iterator, boost.python.py3_make_iterator)
| 267 | 97 |
from nba_py import player
from numpy import mean
import league
from consts import all_time_stats
import consts
name_to_index = {'season': 1, consts.rebounds: 20, consts.assists: 21, consts.steals: 22, consts.blocks: 23, consts.points: 26}
class Player:
def __init__(self, first, last):
print 'Getting {} ... | 4,004 | 1,193 |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 10 18:34:07 2019
计算WMM2015模型，WMM.cof文件需要放到与py相同目录
@author: chens
"""
import numpy as np
from pathlib import Path
import xarray
import ctypes as ct
import sys
import datetime
from matplotlib.pyplot import figure
#libwmm = ct.cdll.LoadLibrary(str('D:\\MyWorks\\WMM2015-mast... | 3,668 | 1,551 |
# Copyright Amazon.com Inc. or its affiliates. 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. A copy of the
# License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanyin... | 3,089 | 1,051 |
""" Contains all the functions related to the search of enitities in the Database """
from tabulate import tabulate
def SearchPlayerByName(cur, con):
""" Searches for the provided name's similar occurences in the Player's first and last name """
# Take in the input for the search query
search = {}
s... | 2,862 | 807 |
# SPDX-License-Identifier: GPL-2.0
# Copyright (c) 2019, Cristian Ciocaltea <cristian.ciocaltea@gmail.com>
#
# Work based on:
# - test_net.py
# Copyright (c) 2016, NVIDIA CORPORATION. All rights reserved.
# - test_fit.py
# Copyright (c) 2013, Google Inc.
#
# Test launching UEFI binaries from FIT images.
"""
Note: This... | 15,413 | 4,753 |
#!/usr/bin/env python
import report, sys
import psycopg2.extras
parser = report.get_parser(sys.argv[0])
parser.add_argument('--title', '-t', required=False, dest='title', default="Data Dictionary", help='Report Title')
args = parser.parse_args()
conn = report.get_connection(args)
curs = conn.cursor(cursor_factory=p... | 2,234 | 696 |
class LinkedList:
def __init__(self, data, next='None'):
self.data = data
self.next = next
def takeinputLL():
inputlist = [int(x) for x in input().split()]
head = None
temp = None
for cur in inputlist:
if cur == -1:
break
Newnode = LinkedList(cur)
... | 1,112 | 341 |
"""empty message
Revision ID: 458a7da0c9da
Revises:
Create Date: 2018-05-01 21:15:27.029811
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '458a7da0c9da'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | 2,581 | 1,068 |
def ngrams(sequence, n):
return list(zip(*[sequence[i:(len(sequence) - (n - 1) + i)] for i in range(n)]))
| 110 | 45 |
import torch
import mimic.modalities.utils
from mimic.modalities.Modality import ModalityIMG
class MimicLateral(ModalityIMG):
def __init__(self, enc, dec, args):
self.name = 'Lateral'
self.likelihood_name = 'laplace'
self.data_size = torch.Size((1, args.img_size, args.img_size))
s... | 573 | 198 |
# -*- coding: utf-8 -*-
# Copyright 2020 Green Valley Belgium NV
#
# 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... | 40,564 | 12,323 |
import os, sys, shutil
from cx_Freeze import setup, Executable
from pathlib import Path
def copytree(src, dst, symlinks=False, ignore=None):
for item in os.listdir(src):
s = os.path.join(src, item)
d = os.path.join(dst, item)
if os.path.isdir(s):
shutil.copytree(s, d, symlinks,... | 1,131 | 389 |
import os
import time
import jwt
import ldap
from eve.auth import TokenAuth
from flask import Blueprint, abort, jsonify, request
blueprint = Blueprint("login", __name__)
ADMIN_USERS = os.environ.get("ADMIN_USERS", "papanowel@gmail.com")
JWT_ALGORITHM = os.environ.get("JWT_ALGORITHM", "HS256")
JWT_EXPIRE_OFFSET = os.... | 5,332 | 1,720 |
#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
from distutils.core import setup
setup( name="pinyin-comp",
version="0.1",
description="complete path containing Chinese by pinyin acronym",
author="Jekyll Wu",
author_email="adaptee@gmail.com",
url="http://www.github.com/a... | 411 | 139 |
def importFromGeoJson(geoJsonName):
#driver = ogr.GetDriverByName('geojson')
dataSource = ogr.Open(geoJsonName, 0)
layer = dataSource.GetLayer()
print(layer.GetFeatureCount())
polys = []
image_id = 1
building_id = 0
for feature in layer:
building_id = building_id + 1
... | 472 | 160 |
"""
Good morning! Here's your coding interview problem for today.
This problem was asked by Google.
Implement an LRU (Least Recently Used) cache.
It should be able to be initialized with a cache size n, and contain the following methods:
set(key, value): sets key to value. If there are already n items in
... | 1,518 | 504 |
# -*- coding: utf-8 -*-
from setuptools import setup
# Metadata goes in setup.cfg. These are here for GitHub's dependency graph.
setup(
name="Teeb",
install_requires=["chardet==4.0.0", "send2trash==1.5.0", "wand==0.6.5"],
)
| 233 | 94 |
#!/usr/bin/env python3
"""Constructs article graph."""
from database import clear_db
from database.constants import engine
from .database_builder import populate_db
if __name__ == "__main__":
clear_db(engine)
populate_db()
| 233 | 72 |
def post_to_solr(article):
import settings
from pysolarized import solr, to_solr_date
solr_int = solr.Solr(settings.SOLR_ENDPOINT_URLS, settings.SOLR_DEFAULT_ENDPOINT)
# Build documents for solr dispatch
doc = {"id": article["id"], "title": article["title"],
"source": article["source"]... | 624 | 205 |
from pydantic import BaseSettings
class DeezerSettings(BaseSettings):
api_host: str = 'https://api.deezer.com'
user_info_path: str = 'user/me'
playlists_path: str = 'user/me/playlists'
playlist_tracks_path: str = 'playlist/{}/tracks'
@property
def user_info_url(self) -> str:
return f... | 637 | 234 |
# -*- coding: utf-8 -*-
from flask import Blueprint, jsonify, request
from functools import wraps
from sqlalchemy import desc
from project.common import app, db, fb_api
from project.config import ApiConfig
from project.models import Client, Message
api = Blueprint('api', __name__)
def make_error(message):
retu... | 2,462 | 826 |
import unittest
import numpy as np
from c4.board import Board, PLAYER1
class TestBoard(unittest.TestCase):
def test_end_diag_lr(self):
b = Board(np.array([[1, 0, 0, 0, 0, 0, 0],
[2, 1, 0, 0, 0, 0, 0],
[2, 2, 1, 0, 0, 0, 0],
... | 3,830 | 1,818 |
import numpy as np
from sklearn.metrics import accuracy_score
from keras.datasets import cifar10
from keras.utils import to_categorical
from keras.models import Sequential, Model
from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, LSTM, Input, Activation, Reshape, concatenate
from keras import optimizers
(... | 1,134 | 448 |
# Copyright 2021 PyAge2, Oleksii Kachaiev <kachayev@gmail.com>. 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
#
# Un... | 1,652 | 536 |
from libavg import avg
from events.event_dispatcher import EventDispatcher
from multi_view_ctrl.grid_element import GridElement
from multi_view_ctrl.configurations.grid_element_div_configuration import GridElementDivConfigurations
class GridElementDiv(avg.DivNode, EventDispatcher):
def __init__(self, grid_element... | 4,045 | 1,160 |
import en_core_web_sm
from spacy import displacy
class Relations_finder:
def __init__(self):
self.subject = ''
self.nlp = en_core_web_sm.load()
def generate_html(self, nlp_doc):
html = displacy.render([nlp_doc], style="dep", page=True)
with open('spacy.html', 'w') as out_file:... | 4,152 | 1,247 |
from flask import jsonify, request, Blueprint, current_app, send_file, make_response
import tensorflow as tf
import numpy as np
from app.users import utils
import cv2
from app.models import User, Data, Predictions, Coordinates
from app import db
from werkzeug.security import generate_password_hash, check_password_hash
... | 8,597 | 2,561 |
"""
EXERCÍCIO 006: Dobro, Triplo, Raiz Quadrada
Crie um algoritmo que leia um número e mostre o seu dobro, triplo e raiz quadrada.
"""
n = int(input('Digite um número: '))
print('O dobro de {} vale {}.'.format(n, (n * 2)))
print('O triplo de {} vale {}.'.format(n, (n * 3)))
print('A raiz quadrada de {} é igual a {:.2f... | 352 | 151 |
"""
Utilities for working with Google Cloud Storage.
"""
import logging
import warnings
from .deps.optdep import import_optional_dependency
logger = logging.getLogger(__name__)
_cached_gcs_fs = None
def get_gcs_fs_without_warnings(cache_value=True):
# TODO It's not expensive to create the gcs filesystem, but... | 2,494 | 730 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# author: yizhong
# created_at: 17-5-2 下午5:00
PAD_WORD = '<blank>'
UNK_WORD = '<unk>'
BOS_WORD = '<s>'
EOS_WORD = '</s>'
NUM_WORD = '<num>'
PUNC_TAG = '<punc>'
| 208 | 109 |
#coding: utf-8
a = zeros((10,10), double)
for i in range(0,10):
a[i,i] = 2.0
for i in range(0,9):
a[i,i+1] = -1.0
for i in range(0,9):
a[i,i+1] = -1.0
n = 5
for i in range(0, n):
x = 1
| 208 | 124 |
from django.shortcuts import render
from .forms import LanguageForm
from learning_django import settings
from django.utils import translation
def index(request):
language_default = settings.LANGUAGE_CODE
if request.method == "POST":
form = LanguageForm(request.POST)
if form.is_valid():
... | 626 | 166 |
#create cinet and functions like COMError that simulate Gamry
#dtaq.Cook is defined to return dummy data when called
#import config here and check if a simulation is being run and if so load that simulation .py that overrides functions like dtaq.Cook | 252 | 62 |
def main():
variable1 = input()
variable2 = input()
a = variable1.split()
b = variable2.split()
first_line = []
second_line = []
for i in a:
first_line.append(int(i))
for i in b:
second_line.append(int(i))
code(first_line[0], second_line)
def code(target, number):
... | 512 | 182 |
from dataclasses import dataclass, field
from .point import Point
@dataclass()
class Direction(Point):
x: int = 0
y: int = 0
NONE: Direction = Direction(0, 0)
NORTH: Direction = Direction(0, -1)
SOUTH: Direction = Direction(0, 1)
EAST: Direction = Direction(1, 0)
WEST: Direction = Direction(-1, 0)
NORTH_... | 737 | 312 |
#coding:utf-8
#
# id: bugs.core_4158
# title: Regression: LIKE with escape does not work
# decription:
# tracker_id: CORE-4158
# min_versions: ['2.0.7']
# versions: 2.0.7
# qmid: None
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 2.0.7
# resources: Non... | 1,437 | 523 |
"""
arpd_update focuses on easily editing the assume role policy document of a role.
"""
import os
import json
import logging
import argparse
from datetime import datetime
from typing import List, Dict, Optional
import boto3 # type: ignore
from botocore.exceptions import ClientError # type: ignore
LOGGER = logging.... | 18,430 | 5,733 |
import pygame
import time
import math
import sys
from kartingpros import track, mainmenu, car, settings, loadimage
from kartingpros.loadimage import _load_image, _load_sound, _load_font
import numpy as np
from numpy import save
from kartingpros.car import Car
from pygame.locals import *
from pygame import mix... | 7,471 | 2,594 |
# -*- coding: utf-8 -*-
# vim: set noai syntax=python ts=4 sw=4:
#
# Copyright (c) 2018-2021 Linh Pham
# wwdtm is released under the terms of the Apache License 2.0
"""Testing for object: :py:class:`wwdtm.location.LocationUtility`
"""
import json
from typing import Any, Dict
import pytest
from wwdtm.location import Lo... | 9,079 | 2,804 |
# -*- coding: utf-8 -*-
"""
Create a cert with pyOpenSSL for tests.
Heavily based on python-opsi's OPSI.Util.Task.Certificate.
Source: https://github.com/opsi-org/python-opsi/blob/stable/OPSI/Util/Task/Certificate.py
"""
import argparse
import os
import random
import socket
from tempfile import NamedTemporaryFile
fro... | 2,204 | 876 |
def log(message, *values):
""" * operator instructs python to pass items from the sequence as
positional arguments
Remember:
- using the * operator with a generator may cause your program
to run out of memory and crash.
- adding new positional parameters to functions that accept
... | 680 | 204 |
from .unet import UnetComplex
from .cross_domain import CrossDomainNet
from ..utils.fourier import FFT, IFFT
class UPDNet(CrossDomainNet):
def __init__(
self,
n_layers=3,
layers_n_channels=[8, 16, 32],
res=True,
non_linearity='relu',
channel_... | 2,942 | 964 |
# Authors: Zhaoshuo Li, Xingtong Liu, Francis X. Creighton, Russell H. Taylor, and Mathias Unberath
#
# Copyright (c) 2020. Johns Hopkins University - All rights reserved.
import copy
import numpy as np
import torch
import torch.nn as nn
class NestedTensor(object):
def __init__(self, left, right, disp=None, s... | 4,342 | 1,551 |
from .base import BaseResource
class Asg(BaseResource):
""" autoscaling group resource to generate from current region
"""
def __init__(self, logger=None):
super().__init__(logger)
def amend_attributes(self, _type, _name, attributes: dict):
if "launch_template" in attributes and attr... | 2,600 | 724 |
import numpy as np
import scipy.io
from sklearn.metrics import confusion_matrix
from random import randint, shuffle
from argparse import ArgumentParser
from helper import getValidDataset
import tensorflow as tf
parser = ArgumentParser()
parser.add_argument('--data', type=str, default='Indian_pines')
parser.add_argumen... | 28,278 | 9,110 |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import math
class Point(object):
""" class for 2D points
x, y - position of point, default 0,0
p - decimals in coordinate output, default 2
"""
def __init__(self, x=0, y=0, p=2):
self.x = x
self.y = y
self.p = p
de... | 2,300 | 849 |
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import time
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import tensorflow as tf
from scipy.misc import imresize
from sklearn.cross_validation import train_test_split
import _pickle as cPickle
from train import train
class Alexnet:
de... | 4,588 | 1,953 |
import random
import string
import unittest
from typing import List, Union, Dict
from config import config
from p2_assembly.mac2_data_macro import DataMacro
from p3_db.test_data import TestData
from p3_db.test_data_elements import Pnr
from p4_execution.debug import get_debug_loc, add_debug_loc, get_missed_loc
from p4_... | 4,184 | 1,485 |
from dataclasses import dataclass
from datetime import datetime
from typing import Optional
@dataclass
class VatsimGeneral:
version: str
reload: str
update: str # will be used as a pk
update_timestamp: str # ISO 8601 date string in UTC
connected_clients: int
unique_users: int
def get_dat... | 2,893 | 1,265 |
from app import db
class Temperature(db.Model):
"""
Model for temperature storing.
"""
timestamp = db.Column(db.Integer, primary_key=True, index=True, unique=True)
internal = db.Column(db.Float)
external = db.Column(db.Float)
cpu = db.Column(db.Float)
def __repr__(self):
re... | 360 | 116 |
# Define imports
import pygame
from pygame import *
import sys
import time
class Controller:
"""Class responsible for interacting with the Model and View."""
def __init__(self, view):
"""Initialize a controller taking input from the View."""
self.model = view.get_model()
... | 3,199 | 746 |
# Copyright 2012 Rackspace Hosting, 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 to ... | 17,101 | 5,272 |
import re
from exceptions import WordPlacementConflict
from constants import ACROSS, DOWN
def score_placements(placements, display=False):
dimensions = [
min([x for x, y, dir in placements.values()]),
min([y for x, y, dir in placements.values()]),
max([placement[0] + len(word) for word, p... | 3,386 | 1,027 |
import numpy as np
import shapely
import geopandas as gpd
import xarray as xr
import matplotlib.pyplot as plt
import seaborn as sns
EPSG_3035_PROJ4 = "+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=m +no_defs "
GREY = "#C0C0C0"
BLUE = "#4F6DB8"
YELLOW = "#FABC3C"
SUPPLY_TECHS = [
"hy... | 4,200 | 1,681 |
import os
import confuse
config = confuse.LazyConfig('ytbdl', None)
def get_loaded_config_sources():
''' Get existing configuration files
Returns:
(list): A list of (string) paths to configuration files that exist on
the file system. Returns an empty list if no configuration files
... | 885 | 243 |
from . import machine as m
from . import machine_calculator as mc
from . import my_time as mt
class Factory:
def __init__(self, open_time=0.00, close_time=24.00):
self.open_time = open_time
self.close_time = close_time
self.machine_id_map = {}
self.machines = []
def get_opera... | 4,875 | 1,764 |
from django.conf import settings
from django.db import models
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from django_extensions.db.models import TimeStampedModel
from stdimage import StdImageField
from stdimage.utils import UploadToUUID
class Place(TimeStampedModel):
... | 1,898 | 570 |
import tensorflow as tf
def shuffle_and_batch_dataset(dataset, batch_size, shuffle_buffer=None):
"""
This function is used to shuffle and batch the dataset, using shuffle_buffer
and batch_size.
"""
if shuffle_buffer is not None:
dataset = dataset.shuffle(shuffle_buffer)
dataset = datas... | 2,363 | 739 |
#
# This file is part of Brazil Data Cube Collection Builder.
# Copyright (C) 2019-2020 INPE.
#
# Brazil Data Cube Collection Builder is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
#
"""Defines a structure component to run celery work... | 1,080 | 343 |
import numpy as np
import matplotlib.pyplot as plt
import os
f_cutoff = .25
df_cutoff = .05
data_dir = '/data/smurf_data/20181214/1544843999/outputs'
f2, df2 = np.load(os.path.join(data_dir, 'band3_badres.npy'))
f2p, df2p = np.load(os.path.join(data_dir, 'band3_badpair.npy'))
m = np.ravel(np.where(np.logical_or(f2 >... | 1,648 | 900 |
# Copyright 2018 Dong-Hyun Lee, Kakao Brain.
#
# Copyright (c) 2020 Intel Corporation
#
# 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
#
# Unle... | 2,794 | 973 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import torch
from torch import nn
import torch.nn.functional as F
class AlexNet(nn.Module):
def __init__(self, num_classes=10):
super(AlexNet, self).__init__()
self.features = nn.Sequential(
nn.Conv2d(3, 64, kernel_si... | 1,983 | 849 |
# pylint:disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
from .base import compare_template, SimpleTestCase
class TimePickerTest(SimpleTestCase):
maxDiff = None
def test_rendered(self):
template = """
{% load carbondesign %}
{% TimePicker form.started_at %}
"""
... | 38,783 | 14,276 |
import unittest
from dongtai_agent_python.policy import tracking
class TestTracking(unittest.TestCase):
def test_yaml_load_is_safe(self):
try:
import yaml
self.assertFalse(tracking.yaml_load_is_safe(('test', yaml.UnsafeLoader), None))
self.assertFalse(tracking.yaml_loa... | 652 | 213 |
from setuptools import setup
setup(
name='validator.py',
version='1.3.0',
author='Samuel "mansam" Lucidi',
author_email="sam@samlucidi.com",
packages=['validator'],
url='https://github.com/mansam/validator.py',
description='A library for appling schemas to data structures.',
long_descri... | 1,107 | 331 |
from telegram.ext import Updater
from telegram import bot
#!/usr/bin/env python
# -*- coding: utf-8 -*-
updater = Updater(token='660812730:AAEGP-xXkMKoplHR6YsUECqXB8diNgvlfbs')
dispatcher = updater.dispatcher
import logging
import requests
state = 1
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s -... | 3,137 | 1,246 |
from torch import nn
from onconet.models.factory import RegisterModel, load_pretrained_weights, get_layers
from onconet.models.default_resnets import load_pretrained_model
from onconet.models.resnet_base import ResNet
@RegisterModel("custom_resnet")
class CustomResnet(nn.Module):
def __init__(self, args):
... | 893 | 284 |
#!/usr/bin/env python
import logging
from argparse import ArgumentParser
import theano
from theano import tensor as tt
from blocks.algorithms import GradientDescent, Adam
from blocks.bricks import MLP, Tanh, Softmax
from blocks.bricks.cost import CategoricalCrossEntropy, MisclassificationRate
from blocks.initializati... | 3,437 | 1,070 |
"""
Search integral/derivative algorithm class
"""
from ..items import Items
from ..sequence import integral, derivative, summation, product
from ..utils import sequence_matches
from .base import RecursiveSearchAlgorithm
__all__ = [
"SearchSummation",
"SearchProduct",
"SearchIntegral",
"SearchDeriv... | 3,682 | 1,095 |
from core import ServerConstants
def first_click_object_6578(player):
if (player.playerEquipment[ServerConstants.AMULET_SLOT] == 1712) and (player.playerEquipment[ServerConstants.CAPE_SLOT] == 10499) and (player.playerEquipment[ServerConstants.WEAPON_SLOT] == 11802):
ItemAssistant.addItemToInventoryOrDrop(... | 409 | 150 |
# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 1,662 | 592 |
import sys
import re
from src.GenGraph import *
class ExtractData:
def __init__(self, genGraph):
#print("Init extractData.")
self.datas = list()
self.datasDefine = False
self.file = "pipe" # Cas de base ou l'on prend des données de stdin
self.genGraph = genGraph
... | 6,972 | 2,263 |
from django.contrib import admin
from .models import Book, Author, BookInstance, Genre
#creating inline for copy instances in book model by TabularInline.
# we have foreignkey from bookinstances to book and from book to authors --> just the way of foreignkey!
class BooksInstanceInline(admin.TabularInline):
model =... | 1,642 | 499 |
from api.user.models import User
from api.cart.models import Cart, CartProduct
from api.order.models import Order, OrderProduct
from api.product.models import Product | 169 | 45 |
from math import *
import csv
import random
import numpy as np
from optimize import genetic_algorithm
with open('pTZ.csv', newline='') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',', quotechar='"')
next(csvreader, None) # skip header
observations = [( np.array([float(p),float(T)]), float(Z))
... | 4,456 | 2,140 |