content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
from vcache_utils import VCacheStats
from bfs_common import BFSParameters
import sys
import pandas as pd
data = pd.DataFrame()
for filename in sys.argv[1:]:
data = data.append(BFSVCacheStats(filename).diffed_data)
data.to_csv("vcache.summary.csv")
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import json
import logging
import re
from pathlib import Path
from typing import Optional, Union
import pandas as pd
from . import DOCSURL, DS_URL_PREFIX, readers
# configure logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
logger.addHa... | [
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# This program rolls two dices and prints what you got
# We set two variables (min and max) , lowest and highest number of the dice.
import random
min = 1
max = 6
roll_again = "yes"
# We then use a while loop, so that the user can roll the dice again.
while roll_again == "yes" or roll_again == "y":
print "Roll... | [
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#TEMA:GENERADORES
######################################################################
#Funcion que me regresa un numero determinado de numeros pares
######################################################################
######################################################################
print("Ejemplo #1")
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# -*- coding: utf-8 -*-
"""
lantz.qt.widgets
~~~~~~~~~~~~~~~~
PyQt widgets wrapped to work with lantz.
:copyright: 2018 by Lantz Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from . import feat, nonnumeric, numeric
from .common import WidgetMixin, Childr... | [
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# -*- coding: utf-8 -*-
import struct
import iota
from iotapy.storage import converter as conv
TRANSACTION_METADATA_TRITS_LENGTH = 1604
HASH_BYTES_LENGTH = 49
HASH_TRITS_LENGTH = 243
| [
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#! /usr/bin/env python
import tensorflow as tf
import tensorflow.contrib.slim as slim
seed = 0
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from tkinter import*
import website
import tkinter.font as font
from PIL import ImageTk,Image
import os
import sqlite3
import webbrowser
if __name__=='__main__':
main()
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import requests
from typing import List
from fastapi import FastAPI, Path
from pydantic import BaseModel, HttpUrl
from fastapi.middleware.cors import CORSMiddleware
cors_origins = [
'https://www.govdirectory.org',
'https://www.wikidata.org',
]
user_agent_external = 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; r... | [
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from ..field import Field
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"""
This script adds a specific column to the `bug_type_entropy_projectname_old` tables. The added column contains the nesting depth (>=0) of each line.
"""
import os, sys, psycopg2, ntpath, traceback, subprocess
from pprint import pprint
#-------------------------------------------------------------------------------... | [
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import matplotlib.pyplot as plt
import numpy as np
import cv2
import scipy.spatial
from sklearn.linear_model import RANSACRegressor
import os
import sys
import inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parent... | [
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from setup import *
import pygame, sys, os
from pygame.locals import *
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import json
from investing_algorithm_framework.app.stateless.action_handlers \
.action_handler_strategy import ActionHandlerStrategy
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# ---------------------------------------------------------------ALL REQUIRD FILES-------------------------------------------------------------
from tkinter import *
import tkinter.ttk as ttk
import tkinter.messagebox as msg
import tkinter.filedialog as tf
from ttkthemes import ThemedStyle
from PIL import Image, Image... | [
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#!/usr/local/miniconda2/bin/python
# _*_ coding: utf-8 _*_
"""
@author: MarkLiu
@time : 17-6-19 8:44
""" | [
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import sys #Fornece funes e variveis para manipular partes do ambiente de tempo de execuo do Python
from time import sleep
import pygame
from settings import Settings
from game_stats import GameStats
from bullet import Bullet
from alien import Alien
def check_keydown_events(event, ai_settings, screen, stats, sb, shi... | [
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#
# Copyright 2016-2017 Games Creators Club
#
# MIT License
#
from sonarsensor_service import *
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import numpy as np
from CelestialMechanics.kepler.constants import K
def mu_sun(m2_over_m1: float) -> float:
"""
mu = k * sqrt(1 + m2/m1)
:param m2_over_m1:
:type m2_over_m1:
:return: mu
:rtype: float
"""
mu = K * np.sqrt(1. + m2_over_m1)
return mu * mu
def mu_na(n: float, a: ... | [
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#!/usr/bin/python3
import hl_utils
from hl_constants import *
import string
import re
from datetime import datetime
if __name__ == "__main__":
print(logins(),ip(),vpn(),guthaben(),battery(),date(),sep='',end='')
| [
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import datetime
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
from vigil_ctf_app.EmailBackEnd import EmailBackEnd
#Authentication views ONLY... | [
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... | 3.586957 | 92 |
import os
import pickle
from functools import partial
from itertools import permutations, combinations
import networkx as nx
import numpy as np
from bitstring import BitArray
from collections import Counter
try:
from graph_measures.features_infra.feature_calculators import NodeFeatureCalculator, Featur... | [
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from src import XMLAnalyzerException
import lxml.etree as ET
from src.Structures import *
from src import XMLFilter
from src import XMLUtil
import constants
import re
from src.xml_decoder import html_entitize
# split at every space, except if it is inside "$param('<here>') statement
# todo: move to tests file
# st... | [
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"""RF Pulse Simulation Functions.
"""
from sigpy import backend
__all__ = ['abrm', 'abrm_nd', 'abrm_hp']
def abrm(rf, x, balanced=False):
r"""1D RF pulse simulation, with simultaneous RF + gradient rotations.
Args:
rf (array): rf waveform input.
x (array): spatial locations.
bala... | [
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#!/usr/bin/env python
# apachelint - simple tool to cleanup apache conf files
# USAGE: apachelint [conffile]
# -*-Python-*-
import sys
import re
filename = sys.argv[1]
indentlevel = 0
indentstep = 4
prevlineblank = False
with open(filename) as f:
for line in f:
# strip leading & trailing space / line en... | [
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... | 2.143603 | 383 |
"""Vectorized math formulae"""
from numba import vectorize, int64, float64
from math import lgamma, exp, isnan, log
__all__ = ["binom", "xlogy"]
| [
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# @Copyright [2021] [Yash Bajaj]
import fileinput as fi
# This module replaces the word <|SPACE|> with a new line (code line 18)
# This is a input function whatever you will write that will come in input.txt
# This is a function to copy data from input.txt and paste it in copyied.txt
# This function replaces <|SPACE|>... | [
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... | 3.263514 | 148 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from models import *
# Create your views here. | [
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# -*- coding: utf-8 -*-
# Date: 2020/3/17 12:16
"""
an engine for deep learning task
"""
__author__ = 'tianyu'
import abc
import random
import time
import warnings
import numpy as np
import torch.backends.cudnn
import torch.nn.functional as F
import torch.utils.data
from torch.optim.lr_scheduler import StepLR
from .... | [
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247... | 1.9492 | 4,311 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `ninjadog` package."""
# TODO: test raises ValueError when pug cli can't be found and not passed explicitly to renderer
| [
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12073,
11... | 2.838235 | 68 |
from rest_framework import viewsets, permissions
from rest_framework_simplejwt.authentication import JWTAuthentication
from rest_framework.response import Response
from rest_framework import status
from core.serializers import TodoSerializer, TodoDetailSerializer
from core.models import Todo
| [
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3060... | 4.083333 | 72 |
from ._DeviceInfo import *
| [
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] | 3.857143 | 7 |
from django.contrib.auth.forms import UserCreationForm
from users.models import User, Profile
from django import forms
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from py2neo import Graph
import numpy as np
import pandas as pd
graph = Graph("http://192.168.50.179:7474", auth=("neo4j", "qwer"))
q1 = create_entity_question()
q2 = create_attribute_question()
q3 = create_relation_question()
df = pd.DataFrame()
df['question'] = q1 + q2 + q3
df['label'] = [0] * ... | [
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... | 2.279793 | 193 |
import cv2
from scipy.spatial import distance as dist
| [
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import pandas as pd
import os
import tarfile
import glob
import json
def unzip_rna_seq_data(file_name, desired_folder_name):
''' Downloaded RNA files are tarfiles, this unzips them'''
if 'tar' in file_name:
open_tar = tarfile.open(file_name)
open_tar.extractall(f'{desired_folder_name}')
... | [
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2599,... | 2.139233 | 1,695 |
import re
from collections import OrderedDict
from django.conf.urls import url as django_url, include
from django.core.urlresolvers import RegexURLResolver, RegexURLPattern
from django.utils.encoding import force_text
import logging
# Using FastUrl has a couple of caveats:
# 1. FastUrl tries to keep the resolution ord... | [
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import os
import json
import keras
import numpy as np
import csv
from experiments import config
import utils
import utils_train
import models
import argparse
def experiment(save_key, model, data_splits_file, batch_size, active_str, muxrate):
"""
This should be common code for all experiments
"""
... | [
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# DEFUALT SETUP FOR NUMBERS
DEFAULT_FLOAT = float
# DEFAULT SETUP FOR STRINGS
DEFAULT_LABEL_LENGTH = 120
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from logging import exception, info
from requests import post as request_post
from requests.exceptions import RequestException
from typing import Union
from uuid import UUID
from django.conf import settings
from django.db.models import (
CASCADE,
CharField,
ForeignKey,
OneToOneField,
)
from web3.types ... | [
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if __name__ == "__main__":
a = Solution()
nums = [0]
a.moveZeroes(nums) | [
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import argparse
from reward_surfaces.agents.make_agent import make_agent
import torch
import json
import os
from glob import glob
if __name__ == "__main__":
main()
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"""Tests on the base ladder structure."""
import pytest
if __name__ == "__main__":
pytest.main()
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from django.conf.urls import url
from django.urls import path
from courses.views import courses_detail
from courses.views.translate import get_translations
urlpatterns = [
url(r'(?P<institution_id>[\w\-]+?)/(?P<course_id>[\w\-\~\$()]+?)/(?P<kis_mode>[\w\-]+?)/', courses_detail,
name='courses_detail'),
... | [
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... | 2.635135 | 148 |
from hamcrest import assert_that, equal_to, is_
from opencypher.ast import Expression, NonEmptySequence, Order, SortItem, SortOrder
| [
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from Model import Critic
from mindspore import Tensor
from mindspore import load_param_into_net
import copy
C1 = Critic(state_dim=2, action_dim=1)
C2 = Critic(state_dim=2, action_dim=1)
# C1.load_parameter_slice(C2.parameters_dict())
# load_param_into_net(C1, C2.parameters_dict())
c1_ = C1.parameters_dict()
c2_ = C2.pa... | [
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7,
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from .flatwrapper import FlatWrapper
| [
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] | 4.222222 | 9 |
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from cricdb_setup import Team, Player, Base, Batsman, Bowler, Fielder, PlayerStrength, PlayerWeakness, PlayerMoment, Video
engine = create_engine('sqlite:///cricdb.db')
# Bind the engine to the metadata of the Base class so that the
#... | [
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... | 3.219963 | 541 |
from dataclasses import dataclass, field
from typing import Optional, Union
from bindings.gmd.dq_evaluation_method_type_code import DqEvaluationMethodTypeCode
from bindings.gmd.nil_reason_enumeration_value import NilReasonEnumerationValue
__NAMESPACE__ = "http://www.isotc211.org/2005/gmd"
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... | 3.139785 | 93 |
#import time
from spark.ReqBase import ReqBase
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r"""
This module contains several utility functions which can be used e.g.
for thresholding the alpha-shearlet coefficients or for using the
alpha-shearlet transform for denoising.
Finally, it also contains the functions :func:`my_ravel` and :func:`my_unravel`
which can be used to convert the alpha-shearlet coefficien... | [
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# -*- coding: utf-8 -*-
# Copyright (c) 2018-2021, earthobservations developers.
# Distributed under the MIT License. See LICENSE for more info.
import re
from datetime import datetime
import pytest
from tests.provider.dwd.radar import station_reference_pattern_unsorted
from wetterdienst.provider.dwd.radar import Dwd... | [
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1... | 3.011236 | 178 |
# -*- coding: utf-8 -*-
import pytest
import json
from pathlib import Path
| [
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#!/usr/bin/env python
import os
import sys
import glob
import argparse
from pathlib import Path
from collections import defaultdict
from hashlib import sha1
import numpy as np
import sacrebleu
import tabulate
from pysimt.metrics.simnmt import AVPScorer, AVLScorer, CWMScorer, CWXScorer
"""This script should be run ... | [
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import logging
from django.views.generic.base import TemplateView
from django.views.generic.detail import DetailView
from django.shortcuts import redirect
from .controller import (
create_canvas_course,
start_course_template_copy,
finalize_new_canvas_course,
get_canvas_course_url
)
from .mixins import C... | [
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import sys
import numpy as np
from .sam_utils import load_samfile, fetch_reads
def _check_SE_event(gene):
"""Check SE event"""
if (len(gene.trans) != 2 or
gene.trans[0].exons.shape[0] != 3 or
gene.trans[1].exons.shape[0] != 2 or
np.mean(gene.trans[0].exons[[0, 2], :] ==
... | [
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#==============================================================================#
# Enasis Network Common Libraries #
# Python Functions Time Processing #
#============================================================================... | [
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from colorama import Fore, Back, Style, init
import pyautogui
import time
import os
os.system("mode 120, 30")
Poxtrop()
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import click
from typing import Callable, List
from .effect_parade import AbstractEffectParade
DISPLAY_OPTIONS = [
click.option('-p', '--parade', type=click.Choice(AbstractEffectParade.get_parade_options()),
help="How the effects are displayed.", default=AbstractEffectParade.get_default_option()... | [
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12... | 2.646447 | 577 |
import boto3
import os
import tarfile
if __name__ == "__main__":
s3 = boto3.client('s3', aws_access_key_id="AKIAY6UR252SQUQ3OSWZ",
aws_secret_access_key="08LQj"
"+ryk9SMojG18vERXKKzhNSYk5pLhAjrIAVX")
output_path = "./data.tar.gz"
with open(o... | [
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18,
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1552... | 1.912052 | 307 |
import os, sys
import logging
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from scipy.ndimage import label
from .utils import watershed_tissue_sections, get_spot_adjacency_matrix
# Read in a series of Loupe annotation files and return the set of all unique categories.
# NOTE: "Undefine... | [
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6... | 2.973481 | 905 |
from flask import (
Blueprint,
render_template,
request,
session,
current_app as app
)
from flask_login import current_user
from floa.extensions import loa
from floa.models.library import Library
bp = Blueprint(
name='home',
import_name=__name__,
url_prefix="/"
)
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220,
1267,
... | 2.723214 | 112 |
import logging
import orangengine
from api.models import Device as DeviceModel
from celery.utils.log import get_task_logger
from api import debug
celery_logger = get_task_logger(__name__)
if debug:
celery_logger.setLevel(logging.DEBUG)
celery_logger.debug('Enabled Debug mode')
| [
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62,
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198,
6738,
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1330,
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628,
198... | 3 | 97 |
# Generated by Django 2.2.7 on 2020-12-22 16:01
import datetime
from django.db import migrations, models
| [
2,
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13,
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1330,
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11,
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628
] | 2.972222 | 36 |
from stacks.decode_string import decode_string
| [
6738,
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13,
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1098,
62,
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1330,
36899,
62,
8841,
628
] | 4 | 12 |
#
import socket
ip = "127.0.0.1"
port = 5001
s = socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
s.bind((ip,port))
i=0
while True:
data, addr = s.recvfrom(1024)
print "Received from ",addr
print "Received ",data
s.close()
| [
2,
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11,
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13,
50,
11290,
62,
35,
10761,
2390,
... | 2.192661 | 109 |
import copy
import logging
import pathlib
import torch
import torch.nn as nn
from yolov3.config import get_default_config
from yolov3.utils.config_node import ConfigNode
| [
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... | 3.326923 | 52 |
# -*- coding: utf-8 -*-
from autograd.blocks.trigo import sin, cos
from autograd.variable import Variable
import numpy as np
import autograd as ad
from autograd import config
t=sub(2)
t.parent()
| [
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198... | 2.175926 | 108 |
#!/usr/bin/python3
# using_sys.py
import sys
print('')
for i in sys.argv:
print(i)
print('\n\nPython',sys.path,'\n') | [
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... | 2.125 | 56 |
import math
import numbers
import torch
from torch import nn
from torch.nn import functional as F
def gaussian_filter(in_channel, out_channel, kernel_size=15, sigma=3):
"""
This method returns 2d gaussian filter
input :
in_channel : Number of input channels
out_channel : Expected number of output ... | [
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7,
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62,
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62,
7857... | 2.502146 | 699 |
from opfu.security import Security
| [
6738,
1034,
20942,
13,
12961,
1330,
4765,
628
] | 4.5 | 8 |
# ABC103a
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10**6)
a = list(map(int, input().split()))
a.sort(reverse=True)
print(abs(a[1]-a[0])+abs(a[1]-a[2]))
| [
2,
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7,
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7,
600,
11,
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35312,
3419,
4... | 2.177215 | 79 |
import os
config = {
#iam
'ACCOUNT_INACTIVE_DAYS': 30, #Accounts are inactive if not used for 30 days
'PASSWORD_ROTATION_DAYS': 90, #Paswords should be rotated every 90 days
'ACCESS_KEY_ROTATION_DAYS': 90 #Access Keys should be rotated every 90 days
}
| [
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... | 2.504425 | 113 |
#!/usr/bin/env python
from six import BytesIO
import wx
import wx.richtext as rt
import images
#----------------------------------------------------------------------
#----------------------------------------------------------------------
#----------------------------------------------------------------------... | [
2,
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2,
... | 3.635417 | 192 |
from django.db import models
from django.contrib.auth.models import User
| [
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] | 3.347826 | 23 |
"""Implements a HD44780 character LCD connected via NodeMCU GPIO pins."""
from machine import Pin
from utime import sleep, ticks_ms
from nodemcu_gpio_lcd import GpioLcd
# Wiring used for this example:
#
# 1 - Vss (aka Ground) - Connect to one of the ground pins on you NodeMCU board.
# 2 - VDD - Connect to 3V
# 3 -... | [
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6... | 2.338139 | 763 |
import dgl
import errno
import numpy as np
import os
import random
import torch
from collections import defaultdict
from rdkit import Chem
def mkdir_p(path):
"""Create a folder for the given path.
Parameters
----------
path: str
Folder to create
"""
try:
os.makedirs(path)
... | [
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1330,
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198,
198,
4299,
33480... | 2.402969 | 4,581 |
import json
import os
import re
import uuid
from knowledge_graph_attr import KnowledgeGraph, Dijkstra
total = 0.0
ignored = 0.0
if __name__ == "__main__":
p = Preprocessor()
path = "/Users/prasoon/Desktop/train"
files = os.listdir(path)
student_train_json = {'data': []}
bug_train_json = {'data... | [
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15,
628,... | 1.997729 | 1,761 |
import csv
import os
import difflib
import statistics
import numpy as np
import matplotlib.pyplot as plt
SMALL_SIZE = 12
MEDIUM_SIZE = 14
LARGE_SIZE = 18
plt.rc('font', size=SMALL_SIZE) # controls default text sizes
# plt.rc('title', titlesize=MEDIUM_SIZE) # fontsize of the axes title
plt.rc('axes', lab... | [
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198,
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62,
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198,
3073... | 1.919873 | 2,521 |
# sys.stdin.readline()
import sys
input = sys.stdin.readline
a, b, c, d = map(int, input().split())
if a+b > c+d:
ans = 'Left'
elif a+b == c+d:
ans = 'Balanced'
else:
ans = 'Right'
print(ans)
| [
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198,
361,
257,
10,... | 2.091837 | 98 |
#!/usr/bin/env python
import copy
import os.path as op
NAME_FMT = "%-20s"
def update_stats(filename, stat):
if not op.isfile(filename):
return
with open(filename, 'r') as f:
for line in f:
l = line.rstrip()
for c in FileStats.ANNOTS:
if l.endswith("%s ... | [
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198... | 1.97449 | 784 |
"""
by_locator : tuple --> (<selenium By object>, <selector string>)
x_offset : int --> integer value of x offset in pixels
y_offset : int --> integer value of y offset in pixels
x_destination : int --> integer value of x location on page
y_desitination : int ... | [
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220,... | 3.037791 | 344 |
n = int(input())
for number in range(n):
print(next(even(number)))
# Don't forget to print out the first n numbers one by one here
| [
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31... | 2.88 | 50 |
# -*- coding: utf-8 -*-
# vi:si:et:sw=4:sts=4:ts=4
from __future__ import unicode_literals
from django.db import connections
from django.utils import timezone
from django.utils.functional import cached_property
from cronman.config import app_settings
from cronman.job import BaseCronJob
from cronman.models import Cro... | [
2,
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... | 3.043796 | 137 |
import re
parse_re = re.compile(
r'pos\=\<(?P<x>-?\d+),(?P<y>-?\d+),(?P<z>-?\d+)\>, r\=(?P<r>\d+)'
)
if __name__ == '__main__':
test1()
test2()
main()
| [
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7,
30,
... | 1.579439 | 107 |
#!/usr/bin/env python
from setuptools import find_packages, setup
setup(
name="lib_elo_calculator",
packages=find_packages(include=['lib_elo_calculator']),
version='0.1.0',
description='contains functions and formulas for calculating elo',
author='Connor Mullett',
license='MIT',
setup_requires=['pytest-r... | [
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28,
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62,
43789,
... | 2.953488 | 129 |
tot_name = os.path.join(os.path.dirname(__file__),'src/data', file_name)
# open the json datafile and read it in
with open(tot_name, 'r') as inputfile:
doc = json.load(inputfile)
# transform the data to the correct types and convert temp to celsius
id_movie = int(doc['id'])
movie_name = str(doc['origi... | [
83,
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62,
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796,
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13,
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7,
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7,
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6,
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14,
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8,
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2,
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262,
33918,
1366,
7753,
290,
1100,
340,
287,
198,
448... | 2.40315 | 635 |
"""
Code for hierarchical multi-class classifiers.
Author: Thomas Mortier
Date: Feb. 2021
TODO:
* Add option for set-valued prediction
* Feature: allow tree structures with non-unique node labels (currently, warning is thrown)
"""
import time
import warnings
import numpy as np
from .utils import HLabelEncod... | [
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329,
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12,
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19... | 3.633166 | 199 |
"""Fixtures for pytest."""
import pytest
from nerdchess.board import Board
from nerdchess import pieces
| [
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13,
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1330,
5926,
198,
6738,
34712,
2395,
824,
1330,
5207,
628,
198
] | 3.451613 | 31 |
"""
if src == "auto":
src = "Auto detect language"
if src == "en":
src = "English - English"
if src == "de":
src = "German - Deutsch"
if src == "ar":
src = "Arabic - "
if src == "es":
src = "Spanish - espaol, castellano"
if src == "ru":
src = "Russian - "
if src == "pl":
src =... | [
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220,
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1,
198,
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611... | 2.242047 | 723 |
"""Decorator unctions for displaying commands."""
from functools import wraps
from shutil import get_terminal_size
import click
def command_handler(command_title, colour='green'):
"""Use this decorator for surrounding the functions with banners."""
def decorator(function):
"""Nested decorator functio... | [
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198,
11748,
3904,
628,
198,
4299,
3141,
62,
30281,
7,
21812,
6... | 2.638686 | 274 |
from typing import List, Optional
from pydantic import BaseModel, Field
| [
6738,
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11,
32233,
198,
198,
6738,
279,
5173,
5109,
1330,
7308,
17633,
11,
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628,
628,
628
] | 3.9 | 20 |
"""
Test adding 4D followed by 5D image layers to the viewer
Intially only 2 sliders should be present, then a third slider should be
created.
"""
import numpy as np
from skimage import data
import napari
with napari.gui_qt():
viewer = napari.view_image(np.random.random((2, 10, 50, 100, 100)))
| [
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3... | 3.2 | 95 |
# A module to tests the methods of the Subsystem
import unittest
import os
import shutil
import re
from copy import copy
from qsome import cluster_subsystem, cluster_supersystem
from pyscf import gto, lib, scf, dft, cc, mp, mcscf, tools
from pyscf.cc import ccsd_t, uccsd_t
import numpy as np
import tempfile
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#!/usr/bin/env python
import argparse
import consulate
options = Options()
parser = argparse.ArgumentParser()
parser.add_argument('-n', '--name', required=True, help='service name')
parser.add_argument('-s', '--slice', help='slice name (optional)')
parser.add_argument('-r', '--role', required=True, help='server role... | [
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12... | 2.851541 | 357 |
from value import Account
acc1 = Account(10000, 3.2)
print(acc1)
acc1.__balance = 100000000
print(acc1)
print(acc1.getBalance())
print(acc1.getInterest())
acc1.setInterest(2.8)
print(acc1)
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45... | 2.567568 | 74 |
# Copyright 2021 Martin Kalcok
# See LICENSE file for licensing details.
"""Pytest fixtures for functional tests."""
# pylint: disable=W0621
import logging
import tempfile
from pathlib import Path
import pytest
from kubernetes import client, config
from pytest_operator.plugin import OpsTest
logger = logging.getLogg... | [
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... | 3.5 | 96 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, absolute_import
from django.contrib.auth import get_user_model
from django.contrib.admin.templatetags.admin_urls import admin_urlname
from django.core.mail import mail_admins
from django.core.urlresolvers import reverse
from django.shortcuts import redir... | [
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... | 2.631336 | 434 |
from tensorflow.python.platform import flags
from tensorflow.contrib.data.python.ops import batching
import tensorflow as tf
import json
from torch.utils.data import Dataset
import pickle
import os.path as osp
import os
import numpy as np
import time
from scipy.misc import imread, imresize
from torchvision.datasets imp... | [
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13,... | 2.864796 | 784 |
from flask import jsonify, g, request
from flask_restful import Resource
from Authentication import *
from Service import *
def get_service():
""" Gets an instance of 'Service' from the 'g' environment. """
if not hasattr(g, 'service'):
g.service = Service()
return g.service
def specialty_quer... | [
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