content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import numpy as np
import pickle
import codecs
import os
from collections import Counter
import re
import math
import scipy.stats as statss
import json
import random
import numpy
import codecs
from seqeval.metrics import precision_score, recall_score, f1_score
#from sklearn.metrics import f1_score
from nltk.tokenize i... | [
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1... | 2.222379 | 2,842 |
import pytest
import torch
from pytorch_toolbelt.modules import HFF, ResidualDeconvolutionUpsample2d
skip_if_no_cuda = pytest.mark.skipif(not torch.cuda.is_available(), reason="Cuda is not available")
# def test_upsample():
# block = DepthToSpaceUpsample2d(1)
# original = np.expand_dims(cv2.imread("lena.pn... | [
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"""unlimited_studies URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
C... | [
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# Copyright 2020 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | [
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# Generated by Django 3.0.8 on 2020-08-02 18:43
from django.db import migrations, models
import django.utils.timezone
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from PySide import QtGui
from PySide.QtGui import QDialog, QFileDialog, QDialogButtonBox
from mapclientplugins.pointwiserigidregistrationstep.ui_configuredialog import Ui_Dialog
INVALID_STYLE_SHEET = 'background-color: rgba(239, 0, 0, 50)'
DEFAULT_STYLE_SHEET = ''
class ConfigureDialog(QtGui.QDialog):
... | [
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#!/usr/bin/env python
from setuptools import setup
project = "rdflib-sqlalchemy"
version = "0.5.2.dev0"
setup(
name=project,
version=version,
description="rdflib extension adding SQLAlchemy as an AbstractSQLStore back-end store",
author="Graham Higgins, Adam Ever-Hadani",
author_email="gjhiggins@... | [
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from flask import current_app
from flask import render_template
from . import index_blu
from info import redis_store
@index_blu.route('/')
#在打开网页的时候.会默认请求根路径favicon.ico
@index_blu.route('/favicon.ico') | [
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"""
Merge function for 2048 game.
"""
def merge(line):
"""
Function that merges a single row or column in 2048.
"""
# replace with your code
zeros = []
for _ in line:
zeros.append(0)
result_index = 0
#in this step restlt = [0,0,0,0]
result = zeros[:]
for _ in range(len(l... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import sys
import tensorflow as tf
import logging
import scipy as scp
from collections import namedtuple
import cv2
import tensorvision.utils as tv_utils
import tensorvision.core as tv_core
import seg_utils.seg_utils as tv_seg
import time
import net.mono... | [
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import sys
import gevent
from gevent.event import Event
from ws4py.exc import HandshakeError
from ws4py.client.geventclient import WebSocketClient
from . import common
# Handles the WebSocket once it has been upgraded by the HTTP layer.
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from abc import abstractmethod, ABC
class Criterion(ABC):
"""Abstract base class to implement new criteria."""
@abstractmethod
@abstractmethod
def __call__(self, perturbed: T, outputs: T) -> T:
"""Returns a boolean tensor indicating which perturbed inputs are adversarial.
Args:
... | [
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print('Hola Mundo')
print('Hola che')
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# -*- coding=utf-8 -*-
import random
import os,pickle
import pygame
from globals import *
from matrix import Matrix
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# coding: utf8
{
'%(module)s not installed': '%(module)s not installed',
'%(system_name)s - Verify Email': '%(system_name)s - I-verify ang Email',
'%I:%M %p': '%I:%M %p',
'%I:%M:%S %p': '%I:%M:%S %p',
'%Y-%m-%d %H:%M:%S': '%Y-%m-%d %H:%M:%S',
'%m-%d-%Y': '%m-%d-%Y',
'%m-%d-%Y %I:%M %p': '%m-%d-%Y %I:%M %p',
'%m-%d-%Y %... | [
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from learner.flappy_util import Utility
from learner.flappy_inputs import Inputs
from learner.flappy_processor import FlappyProcessor
from learner.flappy_callback import FlappySession | [
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"""
Package to handle setup of command line argument processing for Mix API Cli
"""
from ..util.commands import register_root_argparser, register_cmd_group, register_cmd_module
_cmd_registered = False
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"""Generate accompaniments using RealBand and save them."""
import argparse
import os
import sys
import time
import traceback
from pywinauto.timings import TimeoutError
from ..realband_controller import RealBandController
if __name__ == '__main__':
main()
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#!/usr/bin/env python2.7
"""
This script instantiates critical components of our webapps.
We need at least one home subreddit to get things going.
We also need a first user to admin our first subreddit.
"""
import os
import sys
import readline
from pprint import pprint
from flask import *
from werkzeug import check_pa... | [
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"""
Dimensionnality
===============
"""
from ansys.grpc.dpf import field_definition_pb2
from ansys.dpf.core.common import natures
class Dimensionnality:
"""Class representing the dimensionnality of the field
Read list of dim (1D vector for scalar and vector and 2D vector for matrix)
and create a f... | [
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'''
The function create_mscc_dataset is Copyright 2016 Oren Melamud
Modifications copyright (C) 2018 Tatsuya Aoki
This code is based on https://github.com/orenmel/context2vec/blob/master/context2vec/eval/mscc_text_tokenize.py
Used to convert the Microsoft Sentence Completion Challnege (MSCC) learning corpus into ... | [
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19... | 2.673653 | 334 |
import numpy
# Evaluate trading system defined in current file.
if __name__ == '__main__':
from toolkit import quantiacsWeb
results = quantiacsWeb.runtsWeb(__file__)
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#!/usr/bin/env python
"""Main tvnamer utility functionality
"""
import os
import sys
import logging
import warnings
try:
import readline
except ImportError:
pass
import json
import tvdb_api
from typing import List, Union, Optional
from tvnamer import cliarg_parser, __version__
from tvnamer.config_defaults... | [
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"""Resample to 0.7 iso to be able to use BrainVoyager DNN segmentation."""
import os
import subprocess
import numpy as np
import nibabel as nb
# =============================================================================
NII_NAMES = [
'/home/faruk/data/DATA_MRI_NIFTI/src/sub-01_ses-T2s/MP2RAGE_650micron/sub-01_... | [
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"""
File-Name: [app]/urls.py
File-Desc: App specific urls
App-Name: las_util
Project-Name: Las-Util-Django
Copyright: Copyright (c) 2019, DC Slagel
License-Identifier: BSD-3-Clause
"""
from django.urls import path, re_path
from . import views
urlpatterns = [
path('', views.home, name='home'),
#--------------... | [
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from django.contrib import admin
from drones.models import DroneCategory, Drone, Pilot, Competition
admin.site.register(DroneCategory)
admin.site.register(Drone)
admin.site.register(Pilot)
admin.site.register(Competition)
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""" This module computes alignment solutions between all "a priori" solutions
for a dataset and GAIA.
"""
import pytest
import numpy as np
from drizzlepac.haputils import testutils
from ..resources import BaseACS, BaseWFC3
def compare_apriori(dataset):
"""This test will perform fits between ALL a priori s... | [
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#
# Copyright 2016 Cluster Labs, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | [
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# -*- encoding: utf-8 -*-
# Copyright © 2012 New Dream Network, LLC (DreamHost)
# 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.... | [
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1... | 3.185255 | 529 |
from django.apps import AppConfig
from modules.index import InvertedIndex
from myPersonalSite.settings import DEBUG
| [
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#!/usr/bin/python
IMAGE_WIDTH = 25
IMAGE_HEIGHT = 6
PIXEL_MISSING = -1
PIXEL_BLACK = 0
PIXEL_WHITE = 1
PIXEL_TRANSPARENT = 2
# Open input file
filename = "day08.txt"
f = open(filename, "r")
fewest_zeroes = IMAGE_WIDTH * IMAGE_HEIGHT + 1
fewest_zeroes_layer = None
layers = []
with open(filename, "r... | [
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10... | 1.973747 | 838 |
from django.apps import AppConfig
| [
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# ----------* CHALLENGE 74 *----------
# Enter a list of ten colours. Ask the user for a starting number between 0 and 4
# and an end number between 5 and 9. Display the list for those colours
# between the start and end numbers the user input.
list_colours = ["red", "blue", "green", "yellow", "orange", "purple"... | [
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1... | 3.109195 | 174 |
"""Perform a reCAPTCHA verification server-side"""
import requests
try:
from dateutil.parser import parse as parse_date
except ImportError:
from datetime import datetime
def parse_date(datestr):
"""Parse a date from ISO format yyyy-MM-dd'T'HH:mm:ssZZ"""
return datetime.strptime('%Y-%m-%dT%H... | [
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... | 2.499553 | 1,119 |
import numpy as np
import os
import cv2
import csv
path = "./test/"
CROP_SIZE = 600
csv_write = csv.writer(open('scale.csv','w',newline=''))
for f in os.listdir(path):
name,_ = f.split("_")
img = cv2.imread(path+f)
sp = img.shape
x = sp[1] / CROP_SIZE
y = sp[0] / CROP_SIZE
csv_write.writerow([name,x,y])
print(... | [
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... | 2.219684 | 569 |
from typing import Union
import pytest
from flow.testing import ComponentTest
from flow_types import base
component_dir = "flow_package_maths/advanced/log_base"
@pytest.mark.parametrize(
"val_in, base_in, result",
[
[base.Double(4.5), base.Int(2), 2.1699],
[base.Bool(True), base.Int(4), 0],
... | [
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... | 2.384058 | 138 |
import re
from functools import wraps
from flask import current_app, request
ip_regex = '''^(25[0-5]|2[0-4][0-9]|[0-1]?[0-9][0-9]?)\.(
25[0-5]|2[0-4][0-9]|[0-1]?[0-9][0-9]?)\.(
25[0-5]|2[0-4][0-9]|[0-1]?[0-9][0-9]?)\.(
25[0-5]|2[0-4][0-9]|[0-1]?[0-9][0-9]?)$'''
| [
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... | 1.418605 | 215 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from datetime import datetime
from pony import orm
from flask import current_app
from flask_login import UserMixin
from smilepack.database import db
from smilepack.bl.registry import Resource
class Icon(db.Entity):
"""Иконка категории или раздела"""
filename ... | [
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... | 2.14 | 3,400 |
from sqlalchemy import Index, MetaData, Table, Column, Integer, ForeignKey
meta = MetaData()
| [
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import argparse
import pandas as pd
from django.core.management.base import BaseCommand
from firecares.firestation.models import FireDepartment
from firecares.firecares_core.models import PredeterminedUser
| [
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... | 3.833333 | 54 |
import os
import argparse
from xtest import __version__, __description__
from webdriver_manager.firefox import GeckoDriverManager
from xtest.utils.webdriver_manager_extend import ChromeDriverManager
def main():
"""
命令行工具
"""
parser = argparse.ArgumentParser(description=__description__)
parser.ad... | [
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13... | 2.549296 | 994 |
"""
一、程序错误:
1. 程序编写的时候有问题-bug
2. 用户输入脏数据-通过检查校验来对用户输入进行处理
3. 程序运行过程中无法预测的，比如：网络问题, 磁盘问题等-异常
4. 业务问题
程序中所有的错误都需要进行处理
二、程序调式:
跟踪程序的执行，查看相应变量的值
三、程序测试:
测试人员：程序上生产(production)之前，会通过多个测试环境(test, uat, stg)
开发人员：单元测试(开发环境)
"""
# 获取python自带异常错误类
# import re
# list_a = dir(__builtins__)
# list_b = [i for i in list_a if re.matc... | [
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254... | 1.513667 | 878 |
import pandas as pd
from bach import DataFrame
| [
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import generic.models
from django.conf import settings
import generic.search
import rights.utils
| [
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... | 3.4 | 60 |
# coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# 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 applicab... | [
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... | 3.149184 | 858 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.SocialInfoView import SocialInfoView
| [
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541,
323,... | 2.833333 | 72 |
# Generated by Django 3.1.7 on 2021-05-12 02:17
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
| [
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6738,
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from django.test import TestCase
from student_feedback_app.models import *
from student_feedback_app.forms import FeedbackForm
| [
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] | 3.735294 | 34 |
raio = float(input())
area = 3.14159 * raio ** 2
print(f'A={area:.4f}')
| [
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] | 2.117647 | 34 |
import time
import Queue
import bisect
import logging
import weakref
import threading
import collections
from lighthouse.util.misc import *
from lighthouse.util.disassembler import disassembler
logger = logging.getLogger("Lighthouse.Metadata")
#------------------------------------------------------------------------... | [
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63... | 2.732642 | 12,631 |
from bottle import route, run, template, request
import tensorflow as tf
import numpy as np
import os
from tensorflow.contrib import learn
import json
from io import StringIO
import data_helpers
tf.flags.DEFINE_string("checkpoint_dir", ".", "Checkpoint directory from training run")
tf.flags.DEFINE_boolean("allow_soft... | [
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67... | 2.919861 | 287 |
import json
f = open("../../config/matcher.txt", "r")
table_list = []
processor_list = []
match_map = {}
while True:
line = f.readline()
# print(line)
if not line:
break
elif line[0] == '#' or line[0] == '/' or line == "\n":
continue
else:
l = line.split()
# pri... | [
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23884... | 1.966618 | 689 |
# Image handling imports
from skimage import data, io
from skimage.transform import rescale, resize
from skimage.util import img_as_ubyte
from skimage.color import rgba2rgb
# Excel manipulation imports
from openpyxl import Workbook
from openpyxl.styles import PatternFill, Color
from openpyxl.utils.cell import get_colu... | [
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... | 2.54312 | 1,519 |
# -*- coding: utf-8 -*-
"""
Created on Tue May 25 13:35:36 2021
@author: xie(508)
"""
import numpy as np
import Funcs
import time
from scipy import sparse
from scipy.sparse.linalg import eigs
#########################################
| [
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35... | 2.938272 | 81 |
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU... | [
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2,
220,
220,
220,
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357,
34,
8,
5472,
12,
10333... | 3.232456 | 456 |
# coding=utf-8
import os as os
import io as io
import datetime as dt
from ruffus import *
from pipelines.auxmod.auxiliary import read_chromsizes, open_comp, collect_full_paths
from pipelines.auxmod.enhancer import process_merged_encode_enhancer, \
process_vista_enhancer, merge_genehancer_annotation, process_hsa_... | [
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198,
198,
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13,
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4666,
13,
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28129... | 1.720052 | 54,553 |
import numpy as np
| [
11748,
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628,
628,
628
] | 2.8 | 10 |
from .settings import *
# AWS URLs
AWS_STORAGE_BUCKET_NAME = 'sng-files2'
AWS_S3_CUSTOM_DOMAIN = '%s.s3.amazonaws.com' % AWS_STORAGE_BUCKET_NAME
STATIC_URL = "https://%s/%s/" % (AWS_S3_CUSTOM_DOMAIN, STATIC_FILES_LOCATION)
MEDIA_URL = "https://%s/%s/" % (AWS_S3_CUSTOM_DOMAIN, MEDIA_FILES_LOCATION)
# Database
DATABASE... | [
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34,
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62,
39170,
29833,... | 2.092949 | 312 |
from pymtl import *
from lizard.model.hardware_model import HardwareModel
from lizard.model.flmodel import FLModel
| [
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] | 3.65625 | 32 |
from bug_killer_app.datastore.project_table.project_item import ProjectItem
class DummyTransactWrite:
""" Unit tests can't use a connection for transact write. Instead, we batch write items """
| [
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3... | 3.703704 | 54 |
#!/usr/bin/env python3
import argparse
import logging
import time
from uuid import uuid4
import grpc
import yandexcloud
from yandex.cloud.marketplace.v1.metering.image_product_usage_service_pb2 import WriteImageProductUsageRequest
from yandex.cloud.marketplace.v1.metering.image_product_usage_service_pb2_grpc import I... | [
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# scaler.py
from sklearn.preprocessing import StandardScaler, RobustScaler
import pandas as pd
from util import Util
import glob_conf
# class to normalize speech parameters
| [
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#!/usr/bin/env python
import numpy as np
import tensorflow as tf
#from tensorflow.models.rnn import rnn, rnn_cell
from tensorflow.python.ops import functional_ops
from tensorflow.python.ops import variable_scope as vs
from tensorflow.contrib.rnn.python.ops.rnn_cell import _linear
from ..nn import NeuralNetworkModel,... | [
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384... | 2.583995 | 1,762 |
import sys,os
## Example of test that could be done with python
# os.environ["SPARK_HOME"] = '/opt/cloudera/parcels/CDH/lib/spark'
# os.environ['PYSPARK_PYTHON'] = '/usr/bin/python3'
# sys.path.append('/opt/cloudera/parcels/CDH/lib/spark/python')
# sys.path.append('/opt/cloudera/parcels/CDH/lib/spark/python/lib/py4j-... | [
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from rl.agents.agents import Agent
from rl.agents.ppo import PPOAgent
| [
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import copy
import itertools
import numpy as np
from sklearn.preprocessing import normalize
from UQpy.Utilities import *
import functools
import scipy.sparse as sps
import scipy.sparse.linalg as spsl
import scipy.spatial.distance as sd
from scipy.interpolate import LinearNDInterpolator
from UQpy.Surrogates import Kr... | [
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import unittest
from .common import workspace
workspace.init(force=True)
workspace.reload()
if __name__ == '__main__':
unittest.main()
| [
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... | 2.716981 | 53 |
import os
basedir = os.path.abspath(os.path.dirname(__file__))
allowed_extensions = ['png', 'jpg', 'jpeg']
upload_folder = os.path.join(basedir, 'slideshow/static/images/slideshow_images')
| [
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import sys
import h5py
import numpy as np
import cv2
J = 16
edges = [[0, 1], [1, 2], [2, 6], [6, 3], [3, 4], [4, 5],
[10, 11], [11, 12], [12, 8], [8, 13], [13, 14], [14, 15],
[6, 8], [8, 9]]
# if __name__ == '__main__':
# tmpFile = sys.argv[2]
# data = getData(tmpFile)
# eval(sys.argv[1] + '(data)')... | [
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"""Change step fields.
Revision ID: 52b9c8f82d15
Revises: 1a27a3453938
Create Date: 2013-07-26 16:28:08.535654
"""
# revision identifiers, used by Alembic.
revision = '52b9c8f82d15'
down_revision = '1a27a3453938'
from alembic import op
import sqlalchemy as sa
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2... | 2.418182 | 110 |
#lifo
stack=[]
try: #try except so that the program does not crash[optional]
while True:
op = int(input("Select---> 1 to push, 2 to pop top most element, 3 to display elements in stack,4 to peek,5 to exit "))
if op==1: #to push into stack
ele = int(input("enter e... | [
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import plotext as plt
data1 = [403401,403496,403151,402894,402916,403069,402988,403035,403187,403027,403059,403134,403276,403149,403149,402927,403019,403205,403240,403512,403584,403645,403646,404402,404986,405327,405627,405757]
plt.plot(data1, label='Harris County')
plt.plotsize(100,30)
plt.title("Harris County")
plt.s... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# author： donglee
# environment：python2.7
# 模拟的为单原子分子所构成的系统
# My unit system: energy-eV; length-Angstrom; mass-atomic mass unit
import numpy as np
import math
import initialize_position as i_p
import initialize_velocity as i_i
import find_neighbor as f_n
impor... | [
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... | 1.544188 | 2,082 |
import numpy as np
import tensorflow as tf
| [
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"""
Batch test code for Gen-LaneNet with new anchor extension. It predicts 3D lanes per image.
Author: Yuliang Guo (33yuliangguo@gmail.com)
Date: March, 2020
"""
import numpy as np
import torch
import torch.optim
import glob
from tqdm import tqdm
from dataloader.Load_Data_3DLane_ext import *
from networks import GeoN... | [
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... | 2.439259 | 1,457 |
# Lint as: python3
# Copyright 2019 The TensorFlow 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 ... | [
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743... | 3.684982 | 273 |
import numpy as np
from tensorflow import keras
from keras import layers, models, optimizers
from keras.applications import mobilenet_v2
from libmot import TFlite
num_classes = 10
input_shape = (32, 32, 3)
model = get_model()
x_train, y_train, x_test, y_test = get_data()
batch_size = 128
epochs = 10
model.fit(x_tr... | [
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#SETTINGS FOR EEL
EEL_PORT = 1234
EEL_HOST = 'localhost'
EEL_PATH = 'http://%s:%d/' % (EEL_HOST, EEL_PORT)
#SETTINGS FOR REACT
REACT_DEV_PATH = 'http://localhost:3000/'
#OTHER SETTINGS
TMP_FOLDER = 'tmp'
| [
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36... | 2.090909 | 99 |
import unittest
import pokershell.config as config
| [
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#!/usr/bin/env python
import numpy as np
from numpy import inf
import matplotlib.pyplot as plt
locations = []
f = open("berlin52.txt", "r+")
u = f
for line in u:
line = line.split(" ", 1)[1]
y = line.split()
y[0] = float(y[0])
y[1] = float(y[1])
locations.append(y)
print(locations)
dist = np.zeros(... | [
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5... | 1.740976 | 2,521 |
import time
from cases.base import AndroidBaseTest | [
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] | 4.545455 | 11 |
import random
if __name__ == '__main__':
assert reverse_string('stressed') == 'desserts'
assert concat_odd_chars('パタトクカシーー') == 'パトカー'
assert concat_each_char_1by1('パトカー', 'タクシー') == 'パタトクカシーー'
text = 'Now I need a drink, alcoholic of course, after the heavy lectures involving quantum mechanics.'
... | [
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# coding: utf-8
import requests
import sqlite3
import datetime
#from dbfunctions import *
token = 'eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjE1NDQ0NDczOTQsImlkIjoiYWxpc2EiLCJvcmlnX2lhdCI6MTU0NDM2MDk5NCwidXNlcmlkIjo1MTM1MDcsInVzZXJuYW1lIjoidmxrb290bW5pIn0.bAuaOVEjreH6BL1i6afcano6KE_HEbAEVVZr5SYWMv_wEQ4eWXl_yErRatK... | [
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... | 1.704762 | 525 |
#DDSIV Luis Enrique Lopez Chaidez
import json
# Abrimos el archivo de prueba
json_file = open("ej2.json", "r", encoding='utf-8')
dpy = json.load(json_file) # Lo cargamos como diccionario de python
print("Introduzca el id de la prueba")
opcion = input(">") # preguntamos por el id de la prueba
# Iteramos por los ele... | [
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from em_utilities import *
import sframe as sf
from sklearn.feature_extraction.text import TfidfVectorizer , CountVectorizer
from sklearn.neighbors import NearestNeighbors
import scipy
import time
# # Section 0:
# ## Dataset definition and feature extraction (tf-idf)
dataset= sf.SFrame('Dataset/KO_data.csv')
data... | [
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3... | 2.856189 | 1,947 |
from datetime import datetime
from github_reporter.data.comment import Comment
from github_reporter.data.event import Event
from github_reporter.data.issue import Issue
from json import JSONEncoder
| [
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18... | 3.98 | 50 |
#!/usr/bin/env python
from __future__ import print_function
import sys
import os
import copy
import shutil
import time
import subprocess
import argparse
import json
import gc
import cv2
import numpy as np
import math as m
from Imports.util_video import FileVideoGrab
from Imports.util_video import FrameStamps
from Impor... | [
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expected_output = {
'services-accounting-information': {
'flow-aggregate-template-detail': {
'flow-aggregate-template-detail-ipv4': {
'detail-entry': {
'byte-count': '180',
'destination-address': '192.168.61.2',
'destination-mask': '0',
... | [
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94... | 1.663837 | 589 |
from django.shortcuts import render, get_object_or_404
from .models import Blog
#function to get objects from blog app"""
#Function returning the primary key of all objects in job or displays a 404 error
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... | 3.980769 | 52 |
from collections.abc import Iterable
# 高级特性: 迭代
# 无论有无下标, 都可以迭代
d = {'a': 1, 'b': 2, 'c': 3}
# 迭代字典的key
for key in d:
print(key)
# 迭代字典的value
for value in d.values():
print(value)
# 同时迭代字典的key和value
for k, v in d.items():
print(k, ':', v)
# 迭代字符串
for ch in 'ABCD':
print(ch)
# 如何判断一个对象是可迭代对象呢?
# 方法... | [
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... | 1.512583 | 755 |
# Generated by Django 3.2.5 on 2021-07-18 12:49
from django.db import migrations, models
import django.db.models.deletion
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... | 2.818182 | 44 |
import os
import math
import argparse
import tensorboardX
import torch.optim as optim
import horovod.torch as hvd
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torch.utils.data.distributed
from tqdm import tqdm
from dataloaders import *
from torchvision.models import alexnet
from optimiz... | [
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3... | 2.365013 | 2,378 |
from typing import List, Dict, Optional
import cv2
import numpy as np
from albumentations.core.composition import Compose
from torch.utils.data import Dataset
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1330... | 3.425532 | 47 |
import pytest
import mxnet as mx
import numpy as np
from gluonnlp.utils.parameter import grad_global_norm, clip_grad_global_norm
from mxnet.test_utils import assert_almost_equal
mx.npx.set_np()
@pytest.mark.parametrize('max_norm,check_isfinite',
[(1, True),
(1, False... | [
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... | 1.874419 | 215 |
import random
import math | [
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] | 5 | 5 |
"""This module implements AWSAnnotation, a COVAAnnotate subclass, that annotates a dataset using AWS Sagemaker after uploading images to an S3 bucket."""
import io
import logging
import os
import time
import boto3
import cv2
from PIL import Image
import numpy as np
from edge_autotune.pipeline.pipeline import COVAAn... | [
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... | 2.281961 | 2,284 |
import inspect
import os
from sys import getrecursionlimit
from threading import Lock
from time import time, sleep
from typing import List, Dict, Optional
import cfscrape
import requests
from bs4 import BeautifulSoup
from requests import Response
from sqlalchemy import func
from sqlalchemy.orm import Session
from def... | [
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141... | 2.712676 | 355 |
import os
from hydroDL.master import basinFull
import torch
outLst = ['G200Norm', 'G400Norm']
epLst = list(range(100, 1100, 100))
# save
for outName in outLst:
for ep in epLst:
outFolder = basinFull.nameFolder(outName)
modelFile = os.path.join(outFolder, 'model_ep{}'.format(ep))
model = t... | [
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... | 2.470874 | 206 |
from prometheus_client.core import GaugeMetricFamily
class ArrayHttpSpecificPerformanceMetrics():
"""
Base class for FlashBlade Prometheus array HTTP specific performance metrics
"""
def _performance(self):
"""
Create array HTTP specific performance metrics of gauge type.
"""
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... | 1.735195 | 1,182 |
from oc_web_scraper.logger import Logger
from oc_web_scraper.category import Category
class Library:
"""Library class handles scrapping content collection and storage
by instantiating Category objects.
Attributes:
logger (Logger): Main app logger object. Passed in instantiation arguments.
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