content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import os
from .kface import KFace
from .ms1m import MS1M
from .bin_datasets import BIN
from .ijb import IJB
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""""""
# Standard library modules.
import abc
# Third party modules.
from django.core.mail import send_mail
from django.template import Engine, Context
# Local modules.
from .models import RunState
# Globals and constants variables.
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#!/usr/bin/env python2
import random
import itertools
import numpy
import sys
import json
import copy
def make_bins_ltpFR3(semArray):
"""
Creates four equal-width bins of WAS scores, identical to those used in ltpFR2. Then combine the middle two to give
three bins: low similarity, medium similarity, and h... | [
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# Copyright 2019 The FastEstimator Authors. 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
#
# Unless required by appl... | [
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... | 3.092702 | 507 |
from pyais.messages import NMEAMessage
message = NMEAMessage(b"!AIVDM,1,1,,B,15M67FC000G?ufbE`FepT@3n00Sa,0*5C")
print(message.decode())
# or
message = NMEAMessage.from_string("!AIVDM,1,1,,B,15M67FC000G?ufbE`FepT@3n00Sa,0*5C")
print(message.decode())
| [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 3 19:02:33 2019
@author: sercangul
"""
if __name__ == '__main__':
n = int(input())
result = maxConsecutiveOnes(n)
print(result) | [
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... | 2.255319 | 94 |
import numpy as np
from .problem import Problem
from .algorithm_genetic import GeneralEvolutionaryAlgorithm
from .individual import Individual
from .operators import CustomGenerator, nondominated_truncate, RandomGenerator, UniformGenerator
import time
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# -*- coding: utf-8 -*-
"""
APNS Proxy Server
"""
import time
import zmq
import simplejson as json
READ_TIMEOUT = 1500 # msec
FLUSH_TIMEOUT = 5000 # msec
COMMAND_ASK_ADDRESS = b'\1'
COMMAND_SEND = b'\2'
COMMAND_FEEDBACK = b'\3'
DEVICE_TOKEN_LENGTH = 64
JSON_ALERT_KEY_SET = set(['body', 'action_loc_key', 'loc_ke... | [
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import sys
sys.path.insert(0, '..')
import numpy
import time
import ConfigParser
import topicmodel
if __name__ == "__main__":
t0 = time.time()
main()
t1 = time.time()
print "finished"
print "time=", t1 - t0
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1... | 2.473118 | 93 |
#coding:utf-8
#
# id: bugs.core_4318
# title: Regression: Predicates involving PSQL variables/parameters are not pushed inside the aggregation
# decription:
# tracker_id: CORE-4318
# min_versions: ['3.0']
# versions: 3.0
# qmid: None
import pytest
from firebird.qa import db_factory, i... | [
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74... | 2.038715 | 1,214 |
#Import the json library to parse JSON file to Python
import json
#Import list of punctuation characters from the string library
from string import punctuation as p
#This method checks if the given word is a profanity
#This method calculates the degree of profanity for a list of strings | [
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6... | 4.461538 | 65 |
from setuptools import setup
import os
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.rst')).read()
#NEWS = open(os.path.join(here, 'NEWS.txt')).read()
rootdir = os.path.dirname(os.path.abspath(__file__))
exec(open(rootdir + '/cerridwen/version.py').read())
version = __VERS... | [
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import datetime
from abc import ABC, abstractmethod
import pajbot
| [
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#! /usr/bin/python3
# Description: Data_Ghost, concealing data into spaces and tabs making it imperceptable to human eyes.
# Author: Ajay Dyavathi
# Github: Radical Ajay
# USAGE:
# ghoster = Ghost('data.txt')
# ghoster.ghost('ghosted.txt')
# ghoster.unghost('ghosted.txt', 'unghosted.txt')
| [
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# Image classification using AWS Sagemaker and Linear Learner
# Program set up and import libraries
import numpy as np
import pandas as pd
import os
from sagemaker import get_execution_role
role = get_execution_role()
bucket = 'chi-hackathon-skin-images'
# Import Data
import boto3
from sagemaker import get_execution... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# copyright 2015 Hamilton Kibbe <ham@hamiltonkib.be> and Paulo Henrique Silva
# <ph.silva@gmail.com>
# 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... | [
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# -*- coding: utf-8 -*-
# Generated by Django 1.9.9 on 2016-08-19 17:47
from __future__ import unicode_literals
from django.db import migrations, models
| [
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1... | 2.719298 | 57 |
from distutils.version import LooseVersion
import difflib
import os
import numpy as np
from .core import Array
from ..async import get_sync
if LooseVersion(np.__version__) >= '1.10.0':
allclose = np.allclose
else:
| [
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# more specific selections for Python 3 (ASkr, 2/2018)
from launchpad_py.launchpad import Launchpad
from launchpad_py.launchpad import LaunchpadMk2
from launchpad_py.launchpad import LaunchpadPro
from launchpad_py.launchpad import LaunchControlXL
from launchpad_py.launchpad import LaunchKeyMini
from launchpad_py.launch... | [
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... | 3.592233 | 103 |
import base64
import math
import re
from io import BytesIO
import matplotlib.cm
import numpy as np
import torch
import torch.nn
from PIL import Image
# Compute edge magnitudes
from scipy import ndimage
# Demo Utilities
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"""In programming, a factory is a function that returns an object.
Functions are easy to understand because they have clear inputs and outputs.
Most gdsfactory functions take some inputs and return a Component object.
Some of these inputs parameters are also functions.
- Component: Object with.
- name.
- refe... | [
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# -*- coding: utf-8 -*-
# Code will only work with Django >= 1.5. See tests/config.py
import re
from django.utils.translation import ugettext_lazy as _
from django.db import models
from django.core import validators
from django.contrib.auth.models import BaseUserManager
from oscar.apps.customer.abstract_models impor... | [
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import pickle
import numpy as np
INPUT_FILENAME = 'NP_WEIGHTS.pck'
PRECISION = 100
# Open weights
fc1_k, fc1_b, fc2_k, fc2_b = pickle.load(
open(INPUT_FILENAME, 'rb'))
# Round them
fc1_k, fc1_b, fc2_k, fc2_b = fc1_k*PRECISION//1, fc1_b*PRECISION//1, fc2_k*PRECISION//1, fc2_b*PRECISION*PRECISION//1
fc1_k, fc1_b, f... | [
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7... | 2.131124 | 1,388 |
import cv2
import numpy as np
import random
img = cv2.imread('../../Assets/Images/flower-white.jpeg', 1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
cv2.imshow('img', img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
imgG = cv2.GaussianBlur(gray, (3, 3), 0)
dst = cv2.Canny(img, 50, 50)
cv2.imshow(... | [
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"""Detection model trainer.
This file provides a generic training method to train a
DetectionModel.
"""
import datetime
import os
import tensorflow as tf
import time
from avod.builders import optimizer_builder
from avod.core import trainer_utils
from avod.core import summary_utils
slim = tf.contrib.slim
def train(m... | [
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... | 2.285084 | 3,399 |
import binascii
import os
from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
| [
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... | 3.395349 | 43 |
import os
from tempfile import NamedTemporaryFile
import boto3
from moto import mock_s3
import pandas as pd
import pandavro as pdx
import pickle
import pytest
| [
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1... | 3.12963 | 54 |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.10 on 2016-12-08 11:13
from __future__ import unicode_literals
from django.db import migrations
from company import helpers
| [
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198,
... | 2.887097 | 62 |
import pytest
import asyncio
from system.utils import *
from random import randrange as rr
import hashlib
import time
from datetime import datetime, timedelta, timezone
from indy import payment
import logging
logger = logging.getLogger(__name__)
| [
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1... | 3.661765 | 68 |
import opensearchpy
import curator
import os
import json
import string
import random
import tempfile
import click
from click import testing as clicktest
import time
from . import CuratorTestCase
from unittest.case import SkipTest
from . import testvars as testvars
import logging
logger = logging.getLogger(__name__)
... | [
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198,... | 3.01087 | 184 |
import libhustpass.sbDes as sbDes
import libhustpass.captcha as captcha
import requests
import re
import random
| [
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import cv2 as cv
import numpy as np
img = cv.imread('./Images/sample-image.png')
sorted_contours = sortedContoursByArea(img, larger_to_smaller=True)
# print(areaFinder(contours))
print(areaFinder(sorted_contours))
for c in sorted_contours:
cv.drawContours(img, c, -1, 244, 3)
cv.imshow('img', img)
cv.waitK... | [
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"""Precision for ranking."""
import numpy as np
from matchzoo.engine.base_metric import (
BaseMetric, sort_and_couple, RankingMetric
)
| [
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from mung.torch_ext.eval import Loss
from ltprg.model.seq import DataParameter, SequenceModelNoInput, SequenceModelInputToHidden, SequenceModelAttendedInput
from ltprg.model.seq import VariableLengthNLLLoss
# Expects config of the form:
# {
# data_parameter : {
# seq : [SEQUENCE PARAMETER NAME]
# inp... | [
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... | 2.422939 | 558 |
from shutil import move
import piexif
from PIL import Image
def delete_metadata(full_path_to_img):
"""
This function used for remove metadata only from documents, if you send image 'as image' Telegram automatically
removes all metadata at sending. This function removes all metadata via 'piexif' lib, save... | [
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#py_unit_2.py
import unittest
if __name__=='__main__':
unittest.main() | [
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from .scheduled_task import ScheduledTask | [
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from sys import exit
# ------------------------------------------------------------------------------
global dev_name
global game_title
dev_name = "" # enter your name in the quotes!
game_title = "" # enter the game title in the quotes!
# ------------------------------------------------------------------------------
... | [
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... | 4.335 | 200 |
import os, zipfile
# Zip files.
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# Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# 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 a... | [
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... | 3.714894 | 235 |
"""
MNIST
hello world
"""
import tensorflow as tf
import numpy as np
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
# API
"""
MNIST
"""
sess = tf.InteractiveSession()
# [batch_size, 784]
x = tf.placeholder('float', shape=[None, 784])
y_ = ... | [
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import pbge
from game.content.plotutility import LMSkillsSelfIntro
from game.content import backstory
from pbge.plots import Plot
from pbge.dialogue import Offer, ContextTag
from game.ghdialogue import context
import gears
import game.content.gharchitecture
import game.content.ghterrain
import random
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import json
if __name__ == '__main__':
jsonFile = '/data00/home/zhangrufeng1/projects/detectron2/projects/detr/datasets/mot/mot17/annotations/mot17_train_half.json'
with open(jsonFile, 'r') as f:
infos = json.load(f)
count_dict = dict()
for info in infos["images"]:
if info["file_name"]... | [
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# -*- coding: utf-8 -*-
"""Archivo principal para el echobot. Main File for the echobot"""
from fbmq import Page
from flask import Flask, request
# Token generado por la pgina web. Generated token in the facebook web page
PAGE_ACCESS_TOKEN = "COPY_HERE_YOUR_PAGE_ACCES_TOKEN"
# Token generado por nosotros. Token genera... | [
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# -*- coding: utf-8 -*-
from __future__ import print_function
from matplotlib import pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import scipy.misc
import random
import os
import imageio
#############################
# global variables #
#############################
root_dir = "/ho... | [
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29... | 2.525275 | 455 |
#!/usr/bin/env python
import websocket
import time
try:
import thread
except ImportError:
import _thread as thread
runs = 100
if __name__ == "__main__":
websocket.enableTrace(True)
url = "ws://localhost:8082"
ws = websocket.WebSocketApp(url, on_message = on_message, on_error... | [
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16341,
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import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
import seaborn as sns
from matplotlib import rcParams
import statsmodels.api as sm
from statsmodels.formula.api import ols
df = pd.read_csv('kc_house_data.csv')
# print(df.head())
# print(df.isnull().any())
# print(df.d... | [
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# Dialogs for setting filter parameters.
from PyQt5.QtWidgets import QLabel, QGridLayout, QPushButton, \
QLineEdit, QVBoxLayout, QHBoxLayout, QDialog, QComboBox, QWidget
from PyQt5.QtCore import pyqtSignal
| [
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#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
from .build import build, make_path
from parlai.utils.misc import warn_once
from parlai.core.teachers import... | [
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2,
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287,... | 3.43 | 100 |
from math import ceil, sqrt
from problem import Problem
from utils.math import gcd
| [
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# -*- coding: utf-8 -*-
"""
Created on Thu Jan 14 10:37:04 2021
@author: martin urbanec
"""
#calculates trajectory of small mass positioned close to L4 Lagrange point
#creates gif as output
import math
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation, PillowWriter
... | [
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689... | 1.855581 | 1,738 |
from __future__ import unicode_literals
import json
from .common import InfoExtractor
from ..utils import (
ExtractorError,
float_or_none,
sanitized_Request,
)
| [
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# (c) Continuum Analytics, Inc. / http://continuum.io
# All Rights Reserved
#
# conda is distributed under the terms of the BSD 3-clause license.
# Consult LICENSE.txt or http://opensource.org/licenses/BSD-3-Clause.
from __future__ import absolute_import, division, print_function
import sys
from os.path import join, ... | [
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#!/bin/env python3
from transformers import TFBertForTokenClassification
from data_preparation.data_preparation_pos import MBERTTokenizer as MBERT_Tokenizer_pos
import sys
if __name__ == "__main__":
if len(sys.argv) > 1:
modelname = sys.argv[1]
else:
modelname = "ltgoslo/norbert"
model = T... | [
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... | 2.572917 | 192 |
from oslo_serialization import jsonutils as json
from nca47.api.controllers.v1 import base
from nca47.common.i18n import _
from nca47.common.i18n import _LI, _LE
from nca47.common.exception import Nca47Exception
from oslo_log import log
from nca47.api.controllers.v1 import tools
from nca47.manager.central import Centra... | [
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... | 3.193182 | 176 |
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
| [
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355,
376,
628,
628,
628,
628,
198
] | 3.5 | 28 |
from math import exp
from random import seed
from random import random
seed(1)
dataset = [[2.7810836,2.550537003,0],
[1.465489372,2.362125076,0],
[3.396561688,4.400293529,0],
[1.38807019,1.850220317,0],
[3.06407232,3.005305973,0],
[7.627531214,2.759262235,1],
[5.332441248,2.088626775,1],
[6.92259... | [
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7,
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15... | 2.029316 | 307 |
"""\
Copyright (c) 2009 Paul J. Davis <paul.joseph.davis@gmail.com>
This file is part of hypercouch which is released uner the MIT license.
"""
import time
import unittest
import couchdb
COUCHURI = "http://127.0.0.1:5984/"
TESTDB = "hyper_tests"
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1... | 2.725275 | 91 |
from .sample_setup import *
ctr = setup_control()
eff = ColorMeanderEffect(ctr, "solid")
eff.launch_rt()
input()
eff.stop_rt()
ctr.turn_off()
| [
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13,
... | 2.716981 | 53 |
"""Torch NodeEmbedding."""
from datetime import timedelta
import torch as th
from ...backend import pytorch as F
from ...utils import get_shared_mem_array, create_shared_mem_array
_STORE = None
def reset_trace(self):
"""Clean up the trace of the indices of embeddings
used in the training step(s).
... | [
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... | 2.767442 | 129 |
from __future__ import absolute_import
from django.core.urlresolvers import reverse
from sentry.models import OrganizationMember, OrganizationMemberTeam, Team
from sentry.testutils import TestCase, PermissionTestCase
| [
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... | 4.018182 | 55 |
import abc
import datetime
import enum
import logging
import time
import typing
import aysncio
import Layout as layouts
from decimal import Decimal
from pyserum.market import Market
from pyserum.open_orders_account import OpenOrdersAccount
from solana.account import Account
from solana.publickey import PublicKey
from... | [
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... | 2.296288 | 4,580 |
# Generated by Django 3.2.8 on 2021-11-29 05:47
from django.db import migrations
| [
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] | 2.766667 | 30 |
# 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 in writing, software
# distributed under the Li... | [
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2,... | 3.630435 | 184 |
import unittest
import os
from pyxdsm.XDSM import XDSM, __file__
from numpy.distutils.exec_command import find_executable
if __name__ == "__main__":
unittest.main()
| [
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19... | 2.6875 | 64 |
# -*- coding: utf-8 -*-
from wecom_sdk.base.crypt import encrypt_msg, decrypt_msg
| [
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import psycopg2
from decouple import config
import pandas as pd
import dbconnect
cursor, connection = dbconnect.connect_to_db()
sql = """
SELECT "table_name","column_name", "data_type", "table_schema"
FROM INFORMATION_SCHEMA.COLUMNS
WHERE "table_schema" = 'public'
ORDER BY table_name
"""
df = pd.read_sql(sql, con=co... | [
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#!/usr/bin/env python
# -*- coding: utf8 -*-
import sys
try:
from cdecimal import Decimal
except ImportError: # pragma: no cover
from decimal import Decimal
from agate import Table
from agate.aggregations import Sum
from agate.computations import Percent
from agate.data_types import Number, Text
from agate.... | [
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123... | 3.106195 | 113 |
import os
os.makedirs(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'build')), exist_ok=True)
from .chamfer_distance import ChamferDistance
| [
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28... | 2.644068 | 59 |
from functools import partial
from impartial import impartial
| [
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'''
Python script for uploading/downloading scripts for use with the game Screeps.
http://support.screeps.com/hc/en-us/articles/203022612-Commiting-scripts-using-direct-API-access
Usage:
#
# general help/usage
#
python3 manager.py --help
#
# retrieve all scripts from the game and store them... | [
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2490... | 2.673591 | 337 |
import logging
from django.views.generic import TemplateView
from ...models import Feedback
from ..chat.chat_context_mixin import ChatContextMixin
logger = logging.getLogger(__name__)
| [
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... | 3.54717 | 53 |
from typing import Optional
import bisect
from tangled_up_in_unicode.u14_0_0_data.prop_list_to_property import prop_list_to_property
from tangled_up_in_unicode.u14_0_0_data.blocks_to_block_start import blocks_to_block_start
from tangled_up_in_unicode.u14_0_0_data.blocks_to_block_end import blocks_to_block_end
from ta... | [
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62,... | 2.395444 | 6,322 |
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
import sys
import ST7735
# Create ST7735 LCD display class object and set pin numbers and display hardware information.
disp = ST7735.ST7735(
dc=24,
cs=ST7735.BG_SPI_CS_BACK,
rst=25,
port=0,
width=122,
height=160,
ro... | [
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290,
900,
675... | 2.644914 | 521 |
import sqlite3
conn=sqlite3.connect('Survey.db')
fo=open('insertcommand.txt')
str=fo.readline()
while str:
str="INSERT INTO data VALUES"+str
conn.execute(str)
#print(str)
str=fo.readline()
conn.commit()
conn.close()
fo.close()
| [
11748,
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... | 2.378641 | 103 |
# DO NOT EDIT THIS FILE!
#
# This file is generated from the CDP specification. If you need to make
# changes, edit the generator and regenerate all of the modules.
#
# CDP domain: HeadlessExperimental (experimental)
from __future__ import annotations
from cdp.util import event_class, T_JSON_DICT
from dataclasses impo... | [
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327... | 3.676768 | 99 |
import unittest
from wvflib.geometry import Face
if __name__ == '__main__':
unittest.main()
| [
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198,
220,
220,
220,
555,
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] | 2.5 | 40 |
import pytest
from detectem.core import Detector, Result, ResultCollection
from detectem.plugin import Plugin, PluginCollection
from detectem.settings import INDICATOR_TYPE, HINT_TYPE, MAIN_ENTRY, GENERIC_TYPE
from detectem.plugins.helpers import meta_generator
class TestResultCollection():
| [
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25216... | 3.654321 | 81 |
from django.dispatch.dispatcher import receiver
from django.shortcuts import get_object_or_404, redirect, render
from django.contrib.auth.decorators import login_required
from django.http.response import HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, logout as aut... | [
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12... | 2.756944 | 1,152 |
# Copyright (c) 2022, momscode and Contributors
# See license.txt
# import frappe
import unittest
| [
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"""Python APIs for STIX 2.
.. autosummary::
:toctree: api
confidence
datastore
environment
equivalence
exceptions
markings
parsing
pattern_visitor
patterns
properties
serialization
utils
v20
v21
versioning
workbench
"""
# flake8: noqa
DEFAULT_VERSION = '2.1' # De... | [
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220,
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594... | 3.184211 | 646 |
count = int(input())
title = 0
while count > 0:
title += 1
if '666' in str(title):
count -= 1
print(title)
| [
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... | 2.272727 | 55 |
# This file is automatically generated by tools/idna-data
# vim: set fileencoding=utf-8 :
"""IDNA Mapping Table from UTS46."""
__version__ = "11.0.0"
uts46data = tuple(
_seg_0()
+ _seg_1()
+ _seg_2()
+ _seg_3()
+ _seg_4()
+ _seg_5()
+ _seg_6()
+ _seg_7()
+ _seg_8... | [
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... | 1.483366 | 1,022 |
# -*- coding: utf-8 -*-
import numpy as np
import torch
from torch import nn
from kbcr.kernels import GaussianKernel
from kbcr.smart import NeuralKB
import pytest
if __name__ == '__main__':
pytest.main([__file__])
# test_smart_v1()
| [
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19... | 2.572917 | 96 |
import tkinter
window=tkinter.Tk()
window.title("YUN DAE HEE")
window.geometry("640x400+100+100")
window.resizable(True, True)
image=tkinter.PhotoImage(file="opencv_frame_0.png")
label=tkinter.Label(window, image=image)
label.pack()
window.mainloop() | [
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13... | 2.591837 | 98 |
from django.urls import path, include
from .views import main_view, PredictionView
#router = routers.DefaultRouter(trailing_slash=False)
#router.register('years', YearView, basename='years')
#router.register('predict', PredictionView, basename='predict')
urlpatterns = [
#path('api/', get_dummy_data),
#path('... | [
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47... | 2.728972 | 214 |
from django.conf import settings
from termcolor import colored
#: Red color constant for :func:`.ievv_colorize`.
COLOR_RED = 'red'
#: Blue color constant for :func:`.ievv_colorize`.
COLOR_BLUE = 'blue'
#: Yellow color constant for :func:`.ievv_colorize`.
COLOR_YELLOW = 'yellow'
#: Grey color constant for :func:`.i... | [
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2... | 2.268328 | 682 |
# coding: utf-8
# In[1]:
import baostock as bs
import pandas as pd
import numpy as np
import talib as ta
import matplotlib.pyplot as plt
import KlineService
import BaoStockUtil
import math
import datetime
from scipy import integrate
from RSI import DayRSI,WeekRSI,MonthRSI,SixtyMinRSI
from concurrent.futures import... | [
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# Copyright 2016 Orange
#
# 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 in writing, softw... | [
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257,... | 2.355155 | 611 |
from kivy.properties import NumericProperty
from gui.sensors.sensor import Sensor
import config
| [
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] | 3.62963 | 27 |
#
import discord
from discord.ext import commands
from discord.ext.commands import Context
from define import * | [
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] | 4.035714 | 28 |
import cProfile
import pstats
import os
#
def do_cprofile(filename):
"""
Decorator for function profiling.
"""
return wrapper | [
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# Copyright 2019 - Swiss Data Science Center (SDSC)
# A partnership between cole Polytechnique Fdrale de Lausanne (EPFL) and
# Eidgenssische Technische Hochschule Zrich (ETHZ).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ma... | [
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# -*- coding: utf-8 -*-
from .converters import Converter, UnstructureStrategy
__all__ = ('global_converter', 'unstructure', 'structure',
'structure_attrs_fromtuple', 'structure_attrs_fromdict',
'UnstructureStrategy')
__author__ = 'Tin Tvrtkovi'
__email__ = 'tinchester@gmail.com'
global_conver... | [
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# -*- coding: utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. 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/LICENS... | [
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... | 2.135593 | 1,947 |
"""
StarGAN v2
Copyright (c) 2020-present NAVER Corp.
This work is licensed under the Creative Commons Attribution-NonCommercial
4.0 International License. To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
Creative Commons, PO Box 1866, Mountain View, CA 94042, US... | [
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... | 3.437186 | 199 |
# Uses python3
import sys
if __name__ == '__main__':
# input = sys.stdin.read()
a, b = map(int, input().split())
# print(lcm_naive(a, b))
print(lcm(a, b))
| [
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... | 2.043956 | 91 |
import random
highscore = []
def not_in_range(guess_it):
"""This is to check that the numbers inputted by the user are in range,
and will let the user know. If the numbers are in range then it passes.
"""
if guess_it < 1:
print('I am not thinking of negative numbers!')
elif guess_it > 10:... | [
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... | 2.395127 | 944 |
#!/usr/bin/env python3
USER = r'server\user'
PASSWORD = 'server_password'
HOSTNAME = 'hostname.goes.here.com'
DOMAIN = 'domain.goes.here.com'
FROM_ADDR = 'emailyouwanttosendmessagesfrom@something.com'
| [
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#!/usr/bin/python3
#
# MIT License
#
# Copyright (c) 2021 Arkadiusz Netczuk <dev.arnet@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limi... | [
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... | 3.443662 | 568 |