content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
#!/usr/bin/python3
import pynput
import sys
keyboard = pynput.keyboard.Controller()
current_word = 's'
target = 'mike'
replacement = 'rein god'
with pynput.keyboard.Listener(on_press=on_press) as listener:
current_word = ''
listener.join()
| [
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import logging
import os
from telethon import events
from telethon.events import NewMessage
from telethon.errors.rpcerrorlist import BotMethodInvalidError
from slavkabot.slavka import Slavka
best_chat = os.getenv('best_chat')
slavka = Slavka()
logger = logging.getLogger(__name__)
# @events.register(events.NewM... | [
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... | 2.377473 | 657 |
import numpy as np
from PIL import Image
import torch
import torchvision
from ._detection_collate_configs import make_configs
from ..utils import transforms, visualization
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# @param strs, a list of strings
# @return a list of strings
if __name__ == '__main__':
s = Solution()
strs=['aca','dog','','cat','tac','god','','aca']
strs2=['and','dan']
strs3=['']
print s.anagrams(strs3) | [
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from .omega_2013 import solution as omega_2013
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import pyglet
import time
from pyglet.window import key
from . import resources
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import bottle
import os
import random
from api import *
@bottle.route('/')
@bottle.route('/static/<path:path>')
@bottle.post('/start')
@bottle.post('/move')
@bottle.post('/end')
@bottle.post('/ping')
# Expose WSGI app (so gunicorn can find it)
application = bottle.default_app()
if __name__ == '__main__'... | [
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# 给定一个非空整数数组，除了某个元素只出现一次以外，其余每个元素均出现两次。找出那个只出现了一次的元素。
#
# 说明：
#
# 你的算法应该具有线性时间复杂度。 你可以不使用额外空间来实现吗？
#
# 示例 1:
#
# 输入: [2,2,1]
# 输出: 1
# 示例 2:
#
# 输入: [4,1,2,1,2]
# 输出: 4
#
# 来源：力扣（LeetCode）
# 链接：https://leetcode-cn.com/problems/single-number
# 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
from typing import List
if __name__ == '_... | [
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# =================================================================
#
# Work of the U.S. Department of Defense, Defense Digital Service.
# Released as open source under the MIT License. See LICENSE file.
#
# =================================================================
| [
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from unittest import TestCase
from niaarm.niaarm import NiaARM, _cut_point
from niaarm.feature import Feature
from niaarm.dataset import Dataset
import os
# The basic test for checking the identification of the appropriate cut point of association rule.
# let's borrow a test case from Wikipedia:
# https://en.... | [
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... | 3.419048 | 105 |
from __future__ import absolute_import, division, print_function
import argparse
from datetime import datetime
from os import environ
import keras
import numpy as np
import pandas as pd
import tensorflow as tf
from keras.applications import MobileNet
from keras.callbacks import (EarlyStopping, ModelCheckpoint, Reduce... | [
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from django import template
from django.conf import settings
register = template.Library()
@register.simple_tag
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# Copyright (c) 2016, Malte Splietker
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions... | [
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import src.hybrid_systems as hs
from sklearn.neural_network import MLPRegressor
import pandas as pd
import src.time_series_functions as tsf
if __name__ == "__main__":
# linear_combination()
nonlinear_combination() | [
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import os, sys, threading, webview
from main import run
if __name__ == "__main__":
t = threading.Thread(target=run)
t.daemon = True
t.start()
port = int(os.environ.get("PORT", 5000))
webview.create_window('Sauce', f"http://localhost:{port}/")
webview.start()
sys.exit() | [
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"""
train and evaluate hierarchical classification models: first binary classification (cat/dog) and then breed classification
according to the predict animal in the first binary model (1 out of 12 / 1 out of 25)
### Usage:
python advanced_model_hierarchical.py inception_v3
or: python advanced_model_hierarchical.py i... | [
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# -*- coding: utf-8 -*-
from .interface import Multimeter
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import argparse
import os
import sys
sys.path.insert(0, '../cnn/')
sys.path.insert(0, 'net/')
import torch
import torch.nn.utils.prune as prune
from tensorflow.python.ops import nn
from torch import nn
import test
from model import Cell, ReLUConvBN
from net.quantization import apply_weight_sharing
os.makedirs('save... | [
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1... | 2.504894 | 1,226 |
# Generated by Django 3.0.14 on 2022-02-27 19:52
from django.db import migrations, models
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] | 2.875 | 32 |
import logging
from django import forms
import requests
from .base import BaseAction, BaseActionForm
logger = logging.getLogger('zentral.core.actions.backends.trello')
class TrelloClient(object):
"""Trello API Client"""
API_BASE_URL = "https://api.trello.com/1"
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... | 2.925532 | 94 |
from django.db import models
from . import kMeans
from django.contrib.postgres.fields import JSONField
# Create your models here.
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# 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, ... | [
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733... | 2.982318 | 509 |
# q3 find second max element in an array
array = [int(arr_ele) for arr_ele in input("Enter array elements separated by space: ").strip().split(' ')]
array.sort()
print("second largest element is : ", array[-2] | [
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#!/usr/bin/env python
"""
This is a set of helper functions for general utilities
"""
import difflib
def diff(string1, string2):
"""
Returns an array where array[0] is the content of s2 that have been added
in regards to s1 and array[1] is the content of s2 that has been removed
from s1
"""
d... | [
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#Imports and dependencies
from selenium import webdriver
import time
from selenium.webdriver.common.keys import Keys
time_wait_sixty = 60
time_wait_four = 4
# Here the process of automation is achieved by using the framework Selenium.
# Selenium is a portable framework for testing and automating web applications web ... | [
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# coding=utf-8
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | [
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... | 3.782427 | 239 |
"Base infeed class"
import abc
import tensorflow as tf
from pydantic import BaseModel
class Infeed(abc.ABC):
"""
An infeed abstracts the operation of creating a stream of examples.
"""
@abc.abstractmethod
def __call__(self, *args, **kwds) -> tf.data.Dataset:
"""
Configures and A... | [
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# Lint as: python3
# Copyright 2020 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 agr... | [
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# coding: utf-8
from __future__ import absolute_import
try:
from django.conf import settings as _settings
except ImportError:
# No need django for celery_rpc client
_settings = object()
# Default limit for results of filter call
FILTER_LIMIT = 1000
# Default timeout for getting results
GET_RESULT_TIMEOUT... | [
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2... | 2.781202 | 649 |
import numpy as np
import pandas as pd
import scipy.stats as spss
import plotly.express as px
import seaborn as sns
'''
Central Limit Theorem
The central limit theorem states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large en... | [
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13,
42712,
355,
279,
87,
198,
11748,
384,
397,
1211,
355,
3013,
82,
198,
198,
7061,... | 3.783784 | 2,183 |
#!/usr/bin/python3
import pyperclip
import re
'''
Projeto extrator de número de telefone (posicao 4899)
O extrator de número de telefone e de endereços de email deverá fazer:
- Obter o texto do clipboard
- Encontrar todos os número de telefone e os endereços de email do texto
- colá-los no clipboard
'''
phoneRegex... | [
2,
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1930,
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4764,
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8,
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... | 2.206395 | 1,032 |
# Generated by Django 3.1.4 on 2021-02-19 22:19
from django.db import migrations, models
import django.db.models.deletion
| [
2,
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... | 2.818182 | 44 |
# coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen
https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.14.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
# import models into mod... | [
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14,
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... | 3.02688 | 12,463 |
#-------------------------------------------------------------------------------
# Name: __init__
# Purpose: opan.vpt2.__init__ file
#
# Author: Brian Skinn
# bskinn@alum.mit.edu
#
# Created: 5 Oct 2015
# Copyright: (c) Brian Skinn 2016
# License: The MIT License; see "license.t... | [
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2,
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2,
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25,
220,
220,
220,
22... | 2.856492 | 439 |
N = int(input())
T = list(map(int,input().split()))
menor = T[0]
pos = 1
for k in range(1,N):
if T[k] < menor:
menor = T[k]
pos = k+1
print(pos)
| [
45,
796,
493,
7,
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1351,
7,
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7,
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... | 1.826087 | 92 |
#
# PySNMP MIB module ZXR10-SWITCH-ACL-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZXR10-SWITCH-ACL-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:42:26 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (defau... | [
2,
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8,
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2,
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45,
13,
16,
2723,
2393,
1378,
... | 2.470673 | 14,526 |
import sys
from pathlib import Path
__version__ = '0.0.1'
def parse_input(paths):
"""
Take input paths and turn into list of audio files to process.
This is primarily just path munging and the validation will occur elsewhere.
"""
for path in paths:
original_path = Path(path.strip()).reso... | [
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220,
220,
220,
37227,
198,
220,
220,
220,
7214,
5128,
13532,
29... | 2.492401 | 329 |
from __future__ import annotations
from item_engine.textbase.items.lemmas import Lemma
from item_engine.textbase.items.tokens import Token
# this module has been auto-generated by ItemEngine
__all__ = ['P_Any_', 'P_All_', 'P_Skip_', 'Any_', 'P_Inv_', 'All_', 'P_Atom_', 'CharsetArg', 'PatternArg', 'GrammarArg', 'Ato... | [
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8692,
13,
23814,
13,
83,
482,
641,
1330,
29130,
628,
198,
2,
4... | 2.570175 | 228 |
import base64
import os
import textwrap
import pyperclip
from prompt_toolkit.completion import Completion
from empire.client.src.EmpireCliConfig import empire_config
from empire.client.src.EmpireCliState import state
from empire.client.src.menus.UseMenu import UseMenu
from empire.client.src.utils import print_util
fr... | [
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13,
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198,
198,
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13735,
13,
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13,
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13,
36,
35386,
2601,
72... | 3.225434 | 173 |
#-*- coding : utf-8-*-
# coding:unicode_escape
import sys
import cv2
from argparse import ArgumentParser
from gaze_tracking import GazeTrackingFromVideo
from screen_brightness_control import set_brightness
parse = ArgumentParser()
parse.add_argument("-v", "--videocapture", default=0, type=int)
parse.add_argument("-e"... | [
2,
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198,
6738,
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62,
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1330,
402... | 2.132959 | 534 |
from django.http import Http404
from django.shortcuts import get_object_or_404, render, redirect
from django.contrib.auth import authenticate
from django.contrib.auth import login as login1
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import Group
from django.contrib.auth.pa... | [
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13,
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1330,
8323,
5344,
198,
... | 3.839506 | 162 |
from typing import Optional
import torch.nn
import pytorch_msssim
from hylfm.hylfm_types import PeriodUnit
from hylfm.utils.general import Period
| [
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6738,
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1652,
76,
13,
26791,
... | 3.117647 | 51 |
# Generated by Django 3.2.4 on 2021-06-19 05:28
import datetime
from django.db import migrations, models
import django.db.models.deletion
| [
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602,
11,
4981,
198,
11748,
42625,
14208,
13,
9945,
13,
27530... | 2.916667 | 48 |
import pandas as pd
import numpy as np
CoberturaVanguarda = {
"APARECIDA": "VALE DO PARAÍBA",
"CAÇAPAVA": "VALE DO PARAÍBA",
"CACHOEIRA PAULISTA": "VALE DO PARAÍBA",
"CANAS": "VALE DO PARAÍBA",
"CUNHA": "VALE DO PARAÍBA",
"GU... | [
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299,
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198,
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34,
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53,
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64,
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1298,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
... | 1.532565 | 1,735 |
# 問題3
# キーボードから文字列を入力して，その文字列の長さをカウントしなさい．
sentense = input("Input your sentense:")
l = len(sentense)
print(l)
| [
2,
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245,
26... | 1.302326 | 86 |
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 21 16:02:58 2016
@author: cs390mb
Assignment 2 : Activity Recognition
This is the starter script used to train an activity recognition
classifier on accelerometer data.
See the assignment details for instructions. Basically you will train
a decision tree classifier and... | [
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25964,
2022,
198,
198,
8021,
16747,
362,
1058,
24641,
31517,
653... | 3.272561 | 1,640 |
from cooling_class import SimplifiedThermalModel, SimplifiedThermalModelEvolver
import numpy
from matplotlib import pyplot
import matplotlib.cm as cm
from amuse.lab import *
from amuse.ext.molecular_cloud import molecular_cloud
from prepare_figure import single_frame, figure_frame, set_tickmarks
from distinct_colours... | [
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220,
198,
11748,
2603,
29487,
8019,
13,
1121... | 3.190184 | 163 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "Lucas Miguel S Ponce"
__email__ = "lucasmsp@gmail.com"
from ddf_library.utils import generate_info
def filter_rows(data, settings):
"""
Filters rows using the given condition.
:param data: A pandas's DataFrame;
:param settings: a dictiona... | [
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311,
350,
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1,
198,
834,
12888,
834,
796,
366,
75,
1229,
... | 2.645367 | 313 |
import socket
import ssl
import os
hostname = 'example.com'
context = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
context.load_verify_locations('root.pem')
with socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0) as sock:
with context.wrap_socket(sock, server_hostname=hostname) as ssock:
file = os.open("recv... | [
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6,
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7,
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13,
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2394,
4503,
3535,
62,
51,
6561,
62,
5097,
28495,
8,
198,
22... | 2.279817 | 218 |
from py_behrtech.Parsers.messageParser import MessageParser
from py_behrtech.Parsers.nodeParser import NodeParser
from py_behrtech.Parsers.modelParser import ModelParser
from py_behrtech.Parsers.defaults import Defaults
| [
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13,
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1330,
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46677,
198,
6738,
12972,
62,
1350,
11840,
13670... | 3.202899 | 69 |
from typing import List
import pandas as pd
from fastapi import FastAPI, Response, status
from tensorflow.python.keras.models import load_model
from model import Answers
app = FastAPI()
model = load_model('./models/best_model.h5')
questions_map = {
"X1": "the availability of information about the city services"... | [
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1330,
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292,
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1330,
3440,
62,
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198,
198,
6... | 3.061611 | 211 |
#!/usr/bin/env python
# encoding: utf-8
name = 'sms-store'
| [
2,
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14,
8800,
14,
24330,
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3672,
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82,
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6,
628
] | 2.259259 | 27 |
from datetime import datetime
'''
Animal class initializes the name, color and birthday
Use a method to set the most_common animal species to the
respective species' class
Keeps an array of available species have been instantiated from Animal
Holds static methods for formatting bithday and turning species from... | [
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5044,
4693,
284,
262,
198,
220,
220,
220,
220,
220,
220,
220... | 3.969325 | 163 |
import pkg_resources
__version__ = pkg_resources.get_distribution("docker-publisher-osparc-services").version
| [
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12,
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198
] | 3.264706 | 34 |
# -*- coding: utf-8 -*-
__author__ = """Matthieu Berjon"""
__email__ = 'matthieu@berjon.net'
__version__ = '0.3.0'
| [
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6,
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9641,
... | 2.148148 | 54 |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
import pytorch3d.transforms as p3d_t
BASE_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "../.."))
def tf2d_between(pose1, pose2, device=None):
"""
... | [
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... | 1.982784 | 1,336 |
import enum
from typing import NamedTuple, Callable
from PyQt5 import QtWidgets
from .page_controller import PageController
from esolang_IDE.editor_page import EditorPage
from esolang_IDE.notebook import Notebook
from esolang_IDE.file_info import FileInfo
from esolang_IDE.main_window import IDE
| [
11748,
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... | 3.290323 | 93 |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: huizhi.yang
# Time: 2022/2/22 20:13
import hashlib
import json
from flask import jsonify, request, Response
from app_api import app_api_init as app
@app.route("/register", methods=['POST'])
@app.route("/login", methods=['POST'])
| [
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#
# PySNMP MIB module CTRON-DEVICE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CTRON-DEVICE-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:29:46 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar ... | [
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615... | 2.92 | 1,050 |
from amuse.support import options
from amuse.test import amusetest
import io
import textwrap
import os
| [
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from os import system, name, path, getcwd
from pathlib import Path
from time import time
from .inputdata import getInputData, viewGeneratedInputData
from .outputdata import getOutputData, viewOrderedOutputData
makeDefaultDirs()
clear()
drawWelcome()
option_menu = 0
while True:
try:
menu()
... | [
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229... | 1.920755 | 1,060 |
"""Used for unregistering event handlers"""
EVENT_UNREGISTER = 0x1
| [
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# coding: utf-8
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense
from tartare.Vision import ExpandImgData
if __name__ == "__main__":
main()
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# coding=utf-8
from pyspark.conf import SparkConf
from pyspark.context import SparkContext
| [
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EXP_DIR = "EXPERIMENTS"
EXP_NAME = "EXPERIMENT"
DATA_DIR = "DATA"
CKPTS_DIR = "ckpts"
EXPDATA_DIR = "data"
RESULTS_DIR = "results"
CONFIG_DIR = "config"
LOGS_DIR = "logs"
TRAINING = "training"
VALIDATION = "validation"
TEST = "test"
LEARNING_MODES = [TRAINING, VALIDATION, TEST]
RAW_DIR = "raw"
PROCESSED_DIR = "proces... | [
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"""
Handles the shell entry point
"""
import argparse
import sys
from pswingw2.config_defaults import get_simple_config
from pswingw2 import send_simple_message
def parse(args):
"""Parse arguments"""
parser = argparse.ArgumentParser(description="Sending SMS using PSWin Gateway")
parser.add_argument('-u', ... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Functions used by dax_tools like in dax_upload/dax_test/dax_setup.
"""
from __future__ import print_function
from future import standard_library
standard_library.install_aliases()
from builtins import filter
from builtins import input
from builtins import str
from bu... | [
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... | 2.132817 | 42,457 |
import numpy as np
from scipy import interpolate
from skimage.restoration import unwrap_phase
import warnings
def interpolate_field(field, newsize, info=None, verbose=False):
"""Interpolate two-dimensional complex field
Parameters
----------
field: 2d ndarray of shape (M,M)
The field image
... | [
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7,
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... | 2.371212 | 1,188 |
import imutils
from datetime import datetime
import numpy as np
import imagezmq
import argparse
import imutils
import cv2
imageHub = imagezmq.ImageHub()
lastActive = {}
lastActiveCheck = datetime.now()
timeSinceLastFrame = {}
ESTIMATED_NUM_PIS = 4
ACTIVE_CHECK_PERIOD = 10
ACTIVE_CHECK_SECONDS = ESTIMATED_NUM_PIS *... | [
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... | 2.498998 | 1,497 |
units = ["zero", "one", "two", "three", "four", "five",
"six", "seven", "eight", "nine"]
teens = ["ten", "eleven", "twelve", "thirteen", "fourteen",
"fifteen", "sixteen", "seventeen", "eighteen", "nineteen"]
tens = ["", "ten", "twenty", "thirty", "forty",
"fifty", "sixty", "seventy", "eighty", "ninety"]... | [
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from pritunl_wireguard_client.utils.importer import download_profile
from pritunl_wireguard_client.utils.pritunl_auth import \
pritunl_auth, pritunl_sign, verify_signature, ClientBox
from pritunl_wireguard_client.utils.token import Tokens
from pritunl_wireguard_client.utils.random import rand_str, rand_str_complex
| [
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2... | 2.93578 | 109 |
# Generated by Django 3.1.7 on 2021-03-10 09:25
import ckeditor.fields
from django.db import migrations, models
| [
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from .core import COO, as_coo
from .umath import elemwise
from .common import tensordot, dot, concatenate, stack, triu, tril, where, \
nansum, nanprod, nanmin, nanmax, nanreduce, roll
| [
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import glob
import os
import pathlib
from nbconvert import NotebookExporter
from nbconvert.preprocessors import ExecutePreprocessor
import nbformat
import pytest
from traitlets.config import Config
def run_notebook(path, timeout=120):
"""
Execute a Jupyter Notebook and return any errors that it produces.
... | [
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18982... | 2.93625 | 800 |
# Assignment-3.2
############
# In Built filter function
# Input the paramaters
print("\r")
print("-> Input")
number = int(input("-> Insert a number : "))
num_list = list(range (1,number+1))
even_number = list (filter (lambda x :(x%2==0), list (filter (lambda y: (y%5==0) ,num_list ))))
odd_number = l... | [
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# -*- coding: utf-8 -*-
import json
from os import path
from gluon import current
from gluon.html import *
from gluon.storage import Storage
from gluon.http import redirect
from s3 import FS, S3CustomController
from s3theme import formstyle_foundation_inline
THEME = "DRK"
# =======================================... | [
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2... | 1.961434 | 5,134 |
import requests as r
from bs4 import BeautifulSoup as bs
import re
import discord,asyncio,random
from discord.ext import commands
import datetime
links = []
List= ["``Please Enter The Motogp Name And GP`","``Grabbing links...``"]
| [
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... | 3.432836 | 67 |
from updown import *
import os
import io
from scipy.io import wavfile
import scipy.signal as sps
import soundfile
import librosa
from tqdm import tqdm
parser = argparse.ArgumentParser(description='Sync ~/Downloads to Dropbox')
parser.add_argument('--token', default=TOKEN, help='Access token' '(see https://www.dropbox... | [
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1... | 3.064935 | 154 |
import os
import json
import random
from PIL import Image
from torch.utils.data import Dataset
from dataset.utils import pre_question
| [
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62,
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220,
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2... | 2.960784 | 51 |
from __future__ import absolute_import
from .sql_client import SQLClient
from .data_obs_client import DataObsClient
__all__ = [
'SQLClient',
'DataObsClient'
]
| [
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705... | 2.964912 | 57 |
#!/usr/bin/env python3
# python_trimmer_example 0.0.1
import os
import dxpy
import subprocess
@dxpy.entry_point('main')
dxpy.run()
| [
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4122... | 2.481481 | 54 |
import time
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
chrome_options = Options()
chrome_options.headless = True
# TC04
| [
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... | 3.207547 | 53 |
#-*- coding:utf-8 -*-
import unittest
from datetime import datetime
from time import sleep
import mock
from pytest import fail
from tornado import gen
from tornado import testing
from pybreaker import *
class CircuitBreakerStorageBasedTestCase(object):
"""
Mix in to test against different storage backings.... | [
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... | 2.449814 | 10,760 |
##
# .test.test_installation
##
import sys
import os
import unittest
from .. import installation as ins
class test_installation(unittest.TestCase):
"""
Most of this is exercised by TestCaseWithCluster, but do some
explicit checks up front to help find any specific issues that
do not naturally occur.
"""
def tes... | [
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1440... | 2.751724 | 290 |
# -*- coding: utf-8 -*-
import hashlib
import nose
from nose.tools.trivial import eq_
from cmonkey import (
CookieClient,
SignatureClient,
SignatureBuilder,
IntegrationClient,
)
try:
import mock
except ImportError:
from unittest import mock
if __name__ == "__main__":
nose.main(argv... | [
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... | 2.587413 | 143 |
from django.db.models.signals import post_save
from django.db.models.signals import pre_delete
from django.dispatch import receiver
from .models import Account
from .models import User
from .tasks import create_account
from .tasks import delete_user
from .tasks import delete_user_email
from .tasks import send_confirma... | [
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... | 3.282051 | 156 |
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import sph_harm, spherical_jn, jv, jn_zeros, comb
from scipy.interpolate import interp1d
from scipy.integrate import simps
from scipy.optimize import brentq
import os
import sys
sys.path.append(os.path.join(os.getcwd(), '../build/'))
impor... | [
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... | 2.293254 | 2,861 |
from django.contrib import admin
from .models import Campaign, Supporter
# Register your models here.
admin.site.register(Campaign)
admin.site.register(Supporter) | [
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4... | 3.704545 | 44 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2018-01-22 19:01
from __future__ import unicode_literals
from django.db import migrations
from django.contrib.sites.apps import SitesConfig
from django.contrib.sites.management import create_default_site
| [
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19... | 3.034884 | 86 |
import select
import socket
import signal
import pickle
import struct
import argparse
import sys
SERVER_HOST = 'localhost'
CHAT_SERVER_NAME = 'server'
# Some utilities
class ChatServer:
""" An example chat server using select """
def sighandler(self, signum, frame):
""" Clean up client outputs "... | [
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796... | 2.606618 | 272 |
# Generated by Django 2.1 on 2018-12-13 18:26
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import simple_history.models
| [
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... | 3.22807 | 57 |
import pygame
import settings
import sys
import os
| [
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] | 3.785714 | 14 |
import graphene
from ...csv import ExportEvents, FileTypes
from ...graphql.core.enums import to_enum
ExportEventEnum = to_enum(ExportEvents)
FileTypeEnum = to_enum(FileTypes)
| [
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1... | 3.214286 | 56 |
CMarketRspInfoField = {
"ErrorID": "int",
"ErrorMsg": "string",
}
CMarketReqUserLoginField = {
"UserId": "string",
"UserPwd": "string",
"UserType": "string",
"MacAddress": "string",
"ComputerName": "string",
"SoftwareName": "string",
"SoftwareVersion": "string",
"AuthorCode": "s... | [
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... | 2.361201 | 1,232 |
#!/usr/bin/env python
"""
module with functions to enable logging
"""
import time,os,re,csv,sys,uuid,joblib,yaml
from datetime import date
from dotenv import find_dotenv, load_dotenv
if not os.path.exists(os.path.join(".","logs")):
os.mkdir("logs")
def update_train_log(data_shape, eval_test, runtime, MODEL_VERSI... | [
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4... | 2.327792 | 1,925 |
from __future__ import unicode_literals
import frappe
from frappe.utils import (
today,
format_time,
global_date_format,
now,
get_first_day,
)
from frappe.utils.pdf import get_pdf
from frappe import _
from frappe.www import printview
import datetime
from frappe import publish_progress
from frappe.ut... | [
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4... | 2.252423 | 2,579 |
__author__ = 'Chirag'
# =============================================================
def create_cubes(n):
"""returns list of cubes from 0 to n"""
result = []
for x in range(n):
result.append(x**3)
# entire 'result' list in memory (inefficient)
return result
for x in create_cubes(10):
print(x)
print()
# ==... | [
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1... | 3.5 | 204 |
import logging
from datetime import datetime
from .database_config import TableMatch, get_base, get_engine, TablePlayer, TablePlayerMatch, TableAttackEvent, \
TableKillEvent, TableDominationEvent, TableRevengeEvent, TableConnectionEvent, TableDisconnectionEvent, \
TableSteamUserIdValidatedEvent, TableEnteredTh... | [
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220... | 3.533333 | 225 |
# Event: LCCS Python Fundamental Skills Workshop
# Date: Dec 2018
# Author: Joe English, PDST
# eMail: computerscience@pdst.ie
# Purpose: A program to count (and display) the most frequently occurring words in a text
# Breakout 7.1 Frequency Counters
# Q2(g) - solution
# IMPORTANT: Copy the book into book.txt ... | [
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... | 2.830508 | 295 |
import os
| [
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] | 3.333333 | 3 |