content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
# snippet-comment:[These are tags for the AWS doc team's sample catalog. Do not remove.]
# snippet-sourcedescription:[kda-python-datagenerator-stockticker.py demonstrates how to generate sample data for Amazon Kinesis Data Analytics SQL applications.]
# snippet-service:[kinesisanalytics]
# snippet-keyword:[Python]
# sn... | [
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import face_recognition
from flask import Flask, request, redirect, Response
import camera
import firestore as db
# You can change this to any folder on your system
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'}
app = Flask(__name__)
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5001, debug=... | [
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... | 2.762712 | 118 |
import numpy as np
import logging
import numbers
import torch
import math
import json
import sys
from torch.optim.lr_scheduler import LambdaLR
from torchvision.transforms.functional import pad
def get_padding(image):
w, h = image.size
max_wh = np.max([w, h])
h_padding = (max_wh - w) / 2
... | [
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1... | 2.52139 | 374 |
import pytest
from tests.pylint_plugins.utils import create_message, extract_node, skip_if_pylint_unavailable
pytestmark = skip_if_pylint_unavailable()
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... | 2.943396 | 53 |
import pandas as pd
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.colors
import csv
from scipy.stats import mode
import math as m
import os
import collections
#set working directory
#os.chdir("/mnt/ix1/Projects/M002_131217_gastric/P00526/P00526_WG10_15072... | [
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# tests | [
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import logging
from flask import Blueprint
from flask import Flask, render_template, request, flash
from flask_wtf import FlaskForm
from wtforms import StringField, validators, SelectField, BooleanField
from wtforms.fields.html5 import IntegerRangeField
from wtforms.widgets import TextArea
import langid
from utils.u... | [
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# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
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# Copyright (C) July 2018: TF TECH NV in Belgium see https://www.threefold.tech/
# In case TF TECH NV ceases to exist (e.g. because of bankruptcy)
# then Incubaid NV also in Belgium will get the Copyright & Authorship for all changes made since July 2018
# and the license will automatically become Apache v2 for al... | [
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... | 3.790323 | 310 |
import utils as utl
import error_measures as err
# Regression Tree Node
# Regression Tree
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from starlette.applications import Starlette
from starlette.middleware.gzip import GZipMiddleware
from starlette.middleware.cors import CORSMiddleware
from starlette.staticfiles import StaticFiles
app = Starlette(debug=False, template_directory='src/site/templates')
app.add_middleware(GZipMiddleware, minimum_size=500)... | [
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#! /usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Contains core logic for Rainman2
"""
__author__ = 'Ari Saha (arisaha@icloud.com), Mingyang Liu(liux3941@umn.edu)'
__date__ = 'Wednesday, February 14th 2018, 11:42:09 am'
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"""
BespokeFit
Creating bespoke parameters for individual molecules.
"""
import logging
import sys
from ._version import get_versions
versions = get_versions()
__version__ = versions["version"]
__git_revision__ = versions["full-revisionid"]
del get_versions, versions
# Silence verbose messages when running the CLI ... | [
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# -*- coding: utf-8 -*-
"""
Created on Tue Apr 03 11:06:37 2018
@author: vmg
"""
import sdf
import numpy as np
# Load 2006 LUT for interpolation
# 2006 Groeneveld Look-Up Table as presented in
# "2006 CHF Look-Up Table", Nuclear Engineering and Design 237, pp. 190-1922.
# This file requires the file 2006LUTdata.tx... | [
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import unittest
from pathlib import Path
from pprint import pprint
from vint.compat.itertools import zip_longest
from vint.linting.linter import Linter
from vint.linting.config.config_default_source import ConfigDefaultSource
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... | 3.304348 | 69 |
import copy
import json
import logging
import os
import sys
import time
from collections import defaultdict
import numpy as np
import tensorflow as tf
from sklearn import decomposition
from .. import dp_logging
from . import labeler_utils
from .base_model import AutoSubRegistrationMeta, BaseModel, BaseTrainableModel
... | [
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# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
#... | [
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#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2021 Aaron Dewes <aaron.dewes@protonmail.com>
#
# SPDX-License-Identifier: MIT
import stat
import tempfile
import threading
from typing import List
from sys import argv
import os
import requests
import shutil
import json
import yaml
import subprocess
from lib.composeg... | [
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from query.base import BaseQuery
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from kim import Mapper, field
from example.models import Planet, Character
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# Based on local.py (c) 2012, Michael DeHaan <michael.dehaan@gmail.com>
# Based on chroot.py (c) 2013, Maykel Moya <mmoya@speedyrails.com>
# Based on func.py
# (c) 2014, Michael Scherer <misc@zarb.org>
# (c) 2017 Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt... | [
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1... | 2.894569 | 313 |
from django.shortcuts import render_to_response
from django.http import HttpResponseRedirect
from django.template import RequestContext
from django.utils.translation import ugettext_lazy as _
from servers.models import Compute
from create.models import Flavor
from instance.models import Instance
from libvirt import l... | [
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import torch
__author__ = 'Andres' | [
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import a_file
| [
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import streamlit as st
from ui.session_state import SessionState, get_state
from infer import ModelStage
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'''
MIT License
Copyright (c) 2020 Rashid Lafraie
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 limitation the rights
to use, copy, modify, merge, publish... | [
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import os
import sys
import unittest
import torch
import torch._C
from pathlib import Path
from test_nnapi import TestNNAPI
from torch.testing._internal.common_utils import TEST_WITH_ASAN
# Make the helper files in test/ importable
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.pa... | [
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train_data_path = "../data/no_cycle/train.data"
dev_data_path = "../data/no_cycle/dev.data"
test_data_path = "../data/no_cycle/test.data"
word_idx_file_path = "../data/word.idx"
word_embedding_dim = 100
train_batch_size = 32
dev_batch_size = 500
test_batch_size = 500
l2_lambda = 0.000001
learning_rate = 0.001
epoch... | [
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... | 2.40625 | 448 |
from PyQt5.QtWidgets import QLabel, QWidget, QGridLayout, QCheckBox, QGroupBox
from InftyDoubleSpinBox import InftyDoubleSpinBox
from PyQt5.QtCore import pyqtSignal, Qt
import helplib as hl
import numpy as np
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45... | 2.75 | 76 |
import roslib
roslib.load_manifest('sensor_msgs')
roslib.load_manifest('dynamic_reconfigure')
import rospy
import sensor_msgs.msg
import dynamic_reconfigure.srv
import dynamic_reconfigure.encoding
import numpy as np
import time
import os.path
import queue
def clear_queue(self):
q = self.im_queue
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1... | 2.368664 | 217 |
import argparse
import logging
import numpy as np
import os
import pandas as pd
import random
import subprocess
from pathlib import Path
from hyperopt import hp
from hyperopt.pyll.stochastic import sample
from hfta.hfht import (tune_hyperparameters, attach_common_args,
rearrange_algorithm_kwarg... | [
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# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2018-03-06 04:00
from __future__ import unicode_literals
from django.db import migrations, models
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... | 2.736842 | 57 |
#
# Copyright(c) 2020 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause-Clear
#
from core.test_run_utils import TestRun
from utils.installer import install_iotrace, check_if_installed
from utils.iotrace import IotracePlugin
from utils.misc import kill_all_io
from test_tools.fio.fio import Fio
| [
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198... | 2.990196 | 102 |
from models import Song
from random import choice
| [
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198,
6738,
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198
] | 5 | 10 |
#!/usr/bin/python
# custom_dialect.py
import csv
csv.register_dialect("hashes", delimiter="#")
f = open('items3.csv', 'w')
with f:
writer = csv.writer(f, dialect="hashes")
writer.writerow(("pencils", 2))
writer.writerow(("plates", 1))
writer.writerow(("books", 4))
| [
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107... | 2.4 | 120 |
from typing import Optional
from flask_wtf import FlaskForm
from wtforms import StringField, SelectField, SubmitField
from wtforms.validators import DataRequired, Length, Email
from servicex.models import UserModel
| [
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# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, division
import os, sys
import tensorflow as tf
import tf_slim as slim
from tensorflow.python.tools import freeze_graph
sys.path.append('../../')
from data.io.image_preprocess import short_side_resize_for_inference_data
from libs.configs... | [
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273,
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117... | 2.666667 | 252 |
"""
Adapter Removal templates
"""
# AdapterRemoval
#
# {0}: executable
# {1}: fastq1 abs
# {2}: fastq2 abs
# {3}: fastq1
# {4}: fastq2
# {5}: minimum length
# {6}: mismatch_rate
# {7}: min base uality
# {8}: min merge_length
__ADAPTER_REMOVAL__="""
{0} --collapse --file1 {1} --file2 {2} --outputstats {3}.... | [
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2,
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198... | 2.527273 | 220 |
#
# 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
# ... | [
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... | 3.045161 | 310 |
from os.path import join, abspath, dirname, exists
from slybot import __version__
from setuptools import setup, find_packages
from setuptools.command.bdist_egg import bdist_egg
from setuptools.command.sdist import sdist
install_requires = ['Scrapy', 'scrapely', 'loginform', 'lxml', 'jsonschema',
... | [
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... | 2.382003 | 589 |
import torch
import torch.nn as nn
from .yolo_layer import *
from .yolov3_base import *
###################################################################
## Backbone and helper modules
| [
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31904... | 4.288889 | 45 |
import os
import pytest
from modelkit.assets import errors
from tests.conftest import skip_unless
| [
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198
] | 3.466667 | 30 |
from django.test import TestCase
from django.contrib.auth.models import User
from wiki.models import Page
# Create your tests here.
def test_detail_page(self):
""" Test to see if slug generated when saving a Page."""
# Create a user and save to the database
user = User.objects.create()
user.save()
... | [
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6... | 2.835443 | 553 |
from .multiarmedbandit import MultiArmedBandit
from .eps_greedy_constant_stepsize import EpsilonGreedyConstantStepsize
from .greedy_constant_stepsize import GreedyConstantStepsize
from .epsilon_greedy_average_step import EpsilonGreedyAverageStep
from .greedy_average_step import GreedyAverageStep
from .greedy_bayes_upd... | [
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... | 3.352 | 125 |
from datetime import datetime
from django.core.exceptions import FieldError
from django.db.models import CharField, F, Q
from django.db.models.expressions import SimpleCol
from django.db.models.fields.related_lookups import RelatedIsNull
from django.db.models.functions import Lower
from django.db.models.lookups import... | [
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13,
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... | 3.394118 | 170 |
# This notebook implements a proof-of-principle for
# Multi-Agent Common Knowledge Reinforcement Learning (MACKRL)
# The entire notebook can be executed online, no need to download anything
# http://pytorch.org/
from itertools import chain
import torch
import torch.nn.functional as F
from torch.multiprocessing import... | [
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761,
284,
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1997... | 2.473502 | 868 |
import sys
import os
import glob
import json
from robot import rebot
from robot.api import TestSuite
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
if __name__ == "__main__":
main_suite = TestSuite('School Bus Scenario')
main_suite.resource.imports.library('lib/simulation.py')
testcas... | [
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6978... | 2.560193 | 1,246 |
# The purpose of this script is to check all the maintenance branches of the
# given repository, and find which pull requests are included in which
# branches. The output is a JSON file that contains for each pull request the
# list of all branches in which it is included. We look specifically for the
# message "Merge ... | [
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1123,
28... | 2.649374 | 1,118 |
from datetime import datetime as dt
import os
import numpy as np
import settings
| [
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198,
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198
] | 3.4 | 25 |
#-----------------------------------------------------------------------------
# Copyright (c) 2013-2020, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License (version 2
# or later) with exception for distributing the bootloader.
#
# The full license is in the file COPYING.txt... | [
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... | 3.445026 | 382 |
import inspect
def get_default_args(func):
"""Get default arguments of a function.
"""
signature = inspect.signature(func)
return {
k: v.default
for k, v in signature.parameters.items()
if v.default is not inspect.Parameter.empty
}
| [
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220,
220,
9877,
796,
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13,
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1300,
7,
20786,
8,... | 2.598131 | 107 |
"""
Utilizando Lambdas
Conhecidas por Expresses Lambdas, ou simplesmente Lambdas, so funes sem nome, ou seja,
funes annimas.
# Funo em Python
def funcao(x):
return 3 * x + 1
print(funcao(4))
print(funcao(7))
# Expresso Lambda
lambda x: 3 * x + 1
# Como utlizar a expresso lambda?
calc = lambda x: 3 * x + 1... | [
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11... | 2.307868 | 877 |
# Lista dentro de dicionrio
campeonato = dict()
gol = []
aux = 0
campeonato['Jogador'] = str(input('Digite o nome do jogador: '))
print()
partidas = int(input('Quantas partidas ele jogou? '))
print()
for i in range(0, partidas):
aux = int(input(f'Quantos gols na partida {i + 1}? '))
gol.append(aux)
p... | [
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7,
... | 2.233062 | 369 |
import numpy
| [
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] | 3.5 | 4 |
import helpers
import json
import re
datfilepath = "../github-data/labRepos_CreationHistory.json"
allData = {}
# Check for and read existing data file
allData = helpers.read_existing(datfilepath)
# Read repo info data file (to use as repo list)
dataObj = helpers.read_json("../github-data/labReposInfo.json")
# Popul... | [
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2,
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1100,... | 2.765256 | 1,819 |
#! /usr/bin/env python2.7
from __future__ import print_function
import sys
sys.path.append("../../include")
import PyBool_public_interface as Bool
if __name__ == "__main__":
expr = Bool.parse_std("input.txt")
expr = expr["main_expr"]
expr = Bool.simplify(expr)
expr = Bool.nne(expr)
print(Bo... | [
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... | 2.507353 | 136 |
from tkinter import *
import random
import time
from PIL import Image
from datetime import datetime
from tinydb import *
import os
import pickle
#from database1 import *
from random import randint
root = Tk()
root.geometry("1600x800+0+0")
root.title("Suman_dai_ko_DHOKAN")
root.configure(bg="goldenrod4")
text_Input =... | [
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2,
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... | 2.419107 | 7,683 |
import torch
import torch.nn as nn
from mmcv.cnn import normal_init
from mmdet.core import distance2bbox, force_fp32, multi_apply, multiclass_nms, bbox_overlaps
from ..builder import build_loss
from ..registry import HEADS
from ..utils import ConvModule, Scale, bias_init_with_prob
from IPython import embed
INF = 1e8
| [
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62,
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17,
65,
3524,
11,
2700,
62,
46428,
2624,
11,
5021,
62,
39014,
... | 3.106796 | 103 |
from . import db
from sqlalchemy.dialects.mysql import LONGTEXT
| [
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82,
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628,
628
] | 3.190476 | 21 |
import pandas as pd
import numpy as np
import plotly.offline as pyo
import plotly.graph_objs as go
df= pd.read_csv("Data/nst-est2017-alldata.csv")
df2=df[df["DIVISION"] == '1']
df2.set_index("NAME",inplace=True)
list_of_pop_col=[col for col in df2.columns if col.startswith('POP')]
df2=df2[list_of_pop_col]
data=[go.... | [
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628,
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67,
13,
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62,
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... | 2.030172 | 232 |
"""
test_markup
~~~~~~~~~~~
Test various Sphinx-specific markup extensions.
:copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
import pytest
from docutils import frontend, nodes, utils
from docutils.parsers.rst import Parser as ... | [
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2... | 2.246112 | 2,186 |
from pandac.PandaModules import PStatCollector
from direct.directnotify.DirectNotifyGlobal import directNotify
from direct.showbase.PythonUtil import Queue, invertDictLossless, makeFlywheelGen
from direct.showbase.PythonUtil import itype, serialNum, safeRepr, fastRepr
from direct.showbase.Job import Job
import types, w... | [
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# sql/default_comparator.py
# Copyright (C) 2005-2018 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Default implementation of SQL comparison operations.
"""
from .. impor... | [
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from django.contrib.auth.validators import UnicodeUsernameValidator
from rest_framework import serializers
from django.contrib.auth.models import User
from recipes.models import Recipe, Ingredient, Step
| [
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6... | 3.781818 | 55 |
import numpy as np
import pytest
import torch
from mmpose.models import TemporalRegressionHead
def test_temporal_regression_head():
"""Test temporal head."""
head = TemporalRegressionHead(
in_channels=1024,
num_joints=17,
loss_keypoint=dict(type='MPJPELoss', use_target_wei... | [
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# -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-31 23:20
from __future__ import unicode_literals
from django.db import migrations
| [
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1... | 2.690909 | 55 |
# Your SnakeGame object will be instantiated and called as such:
# obj = SnakeGame(width, height, food)
# param_1 = obj.move(direction) | [
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from itertools import (
chain,
)
import logging
from azul import (
config,
require,
)
from azul.logging import (
configure_script_logging,
)
from azul.terra import (
TDRClient,
TDRSourceName,
)
log = logging.getLogger(__name__)
if __name__ == '__main__':
main()
| [
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"""
Tools to "play notes for the editor clef", which may be thought of as "executing editor commands".
NOTE: in the below, we often connect notes together "manually", i.e. using NoteSlur(..., previous_hash). As an
alternative, we could consider `nouts_for_notes`.
"""
from s_address import node_for_s_address, s_dfs
f... | [
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... | 2.625344 | 363 |
"""Base for all Classes.
Base mainly includes the description fields
"""
import logging
from typing import Optional
from .log import Log # type: ignore
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import subprocess
import re
programs = input('Separe the programs with a space: ').split()
secure_pattern = '[\w\d]'
for program in programs:
if not re.match(secure_pattern, program):
print("Sorry we can't check that program")
continue
process = subprocess. run(
['which', program],... | [
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4... | 2.683983 | 231 |
from __future__ import absolute_import
from django import forms
from authentication.account.forms import BaseSignupForm
from . import app_settings, signals
from .adapter import get_adapter
from .models import SocialAccount
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#!/usr/bin/env python
""" Provides the primary interface into the library """
from __future__ import annotations
import asyncio
import logging
from typing import Callable, Optional, Union
from . import utils
from . import controllers
from .networking.connection import Connection
from .networking.types import SSDPRes... | [
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1... | 2.614343 | 1,255 |
# Lista celulares
# O departamento de marketing da sua empresa est interessado em obter apenas os nmeros de telefone celular, separando-os dos telefones fixos. Para simplificar esta operao sero considerados nmeros de celular apenas aqueles que, aps o cdigo de rea, iniciarem com o dgito adicional 9.
# Voc recebeu a tare... | [
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import csv
_iso_639_1_codes_file = open("files/ISO-639-1_Codes.csv", mode='r')
_iso_639_1_codes_dictreader = csv.DictReader(_iso_639_1_codes_file)
_iso_639_1_codes_dict: dict = {}
for _row in _iso_639_1_codes_dictreader:
_iso_639_1_codes_dict[_row['ISO-639-1 Code']] = _row['Language']
print(str(_iso_639_1_codes_... | [
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... | 2.116883 | 154 |
import time
import torch
import warnings
import numpy as np
from tianshou.env import BaseVectorEnv
from tianshou.data import Batch, ReplayBuffer,\
ListReplayBuffer
from tianshou.utils import MovAvg
| [
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... | 3.383333 | 60 |
from drink_partners.contrib.samples import partner_bar_legal
| [
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# -*- coding: utf-8 -*-
# !/usr/bin/python
################################### PART0 DESCRIPTION #################################
# Filename: class_create_model_of_logistic_regression.py
# Description:
#
# Author: Shuai Yuan
# E-mail: ysh329@sina.com
# Create: 2016-01-23 23:32:49
# Last:
__author__ = 'yuens'
######... | [
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64... | 3.763158 | 228 |
import multiprocessing
from typing import List, Optional
import numpy as np
from ..util import dill_for_apply
| [
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# 377 Combination Sum IV
# Given an integer array with all positive numbers and no duplicates,
# find the number of possible combinations that add up to a positive integer target.
#
# Example:
#
# nums = [1, 2, 3]
# target = 4
#
# The possible combination ways are:
# (1, 1, 1, 1)
# (1, 1, 2)
# (1, 2, 1)
# (1, 3)
# (2,... | [
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from conans import ConanFile, CMake, tools
import os
STATIC_LIBS = ["nvtt", "squish", "rg_etc1", "nvimage", "bc6h", "posh",
"bc7", "nvmath", "nvthread", "nvcore"]
SHARED_LIBS = ["nvtt", "nvimage", "nvthread", "nvmath", "nvcore"]
| [
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#!/usr/bin/env python3
""" train_args.py
train_args.py command-line args.
"""
import argparse
def get_args():
"""
"""
parser = argparse.ArgumentParser(
description="This script lets you train and save your model.",
usage="python3 train.py flowers/train --gpu --learning_rate 0.001 --epochs... | [
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... | 1.780653 | 1,623 |
from django.http import HttpResponseRedirect
from django.conf import settings
from django.views.generic import TemplateView
from apps.payment.models import PaymentLog
from apps.payment.stripe import get_token, get_payment_charge
from apps.subscription.views import start_subscription
| [
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... | 3.878378 | 74 |
from django.apps import AppConfig
| [
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# -*- coding: utf-8 -*-
"""Console script for secure_data_store."""
import click
from . import secure_data_store as sds
CONFIG='~/.sdsrc'
main()
| [
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#!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Michael A.G. Aivazis
# California Institute of Technology
# (C) 1998-2003 All Rights Reserved
#
# <LicenseText>
#
# ~~~~~~~~~~~~~~~~~... | [
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2... | 2.81068 | 206 |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may... | [
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# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | [
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760... | 2.625 | 760 |
#!/usr/bin/env python
# Copyright 2008 Orbitz WorldWide
#
# 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 ... | [
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... | 3.1081 | 3,506 |
from PIL import Image
import csv
from ast import literal_eval as make_tuple
from math import sqrt
import argparse
import os.path
if __name__ == '__main__':
args = handle_arguments()
path = args.image
emoji_list = []
with open('proc.csv') as raw_list:
emoji_list = []
reader = csv.re... | [
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# Xlib.ext.xinput -- XInput extension module
#
# Copyright (C) 2012 Outpost Embedded, LLC
# Forest Bond <forest.bond@rapidrollout.com>
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software... | [
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201,
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220,
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1279,... | 2.331232 | 3,173 |
from .loader import load | [
6738,
764,
29356,
1330,
3440
] | 4.8 | 5 |
# Generated by Django 3.0.4 on 2020-04-16 23:10
from django.db import migrations
| [
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# @Time : 2022/1/26 23:07
# @Author : zhaoyu
# @Site :
# @File : __init__.py.py
# @Software: PyCharm
# @Note : xx | [
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... | 1.897059 | 68 |
from typing import Union
from unittest import mock
import graphene
import pytest
from django.core.exceptions import ValidationError
from django.db.models import Q
from django.template.defaultfilters import slugify
from graphene.utils.str_converters import to_camel_case
from saleor.core.taxes import zero_money
from sa... | [
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... | 2.242192 | 9,509 |
import os
import json
import cv2
import logging
import boto3
import botocore
s3 = boto3.client('s3')
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def upload_file(file_name, bucket, object_name=None):
"""Upload a file to an S3 bucket
:param file_name: File to upload
:param bucket: Bucket to ... | [
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... | 2.677524 | 307 |
from pyinstrument import Profiler
p = Profiler(use_signal=False)
p.start()
func(900)
p.stop()
print(p.output_text())
with open('overflow_out.html', 'w') as f:
f.write(p.output_html())
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1... | 2.365854 | 82 |
#!/usr/bin/env python3
# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (c) 2019, Linaro Limited
#
from __future__ import print_function
from __future__ import division
import argparse
import sys
import struct
import re
import hashlib
try:
from elftools.elf.elffile import ELFFile
from elftools.elf.consta... | [
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# The MIT License (MIT)
#
# Copyright (c) 2020 Jeff Epler for Adafruit Industries LLC
#
# 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 limitation the r... | [
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25... | 3.804416 | 317 |
# --- Klassendeklaration mit Konstruktor --- #
# --- Instanziierung einer Klasse ---#
# --- Ich bevorzuge die Initialisierung mit den Keywords --- #
pc_instanz = PC(cpu='Ryzen 7', gpu='RTX2070Super', ram='GSkill')
# --- Zugriff auf normale _public_ Attribute --- #
print(pc_instanz.cpu)
print(pc_instanz.gpu)
# --- Z... | [
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... | 2.573705 | 251 |