小编sin*_*ina的帖子

当我尝试迁移我的代码时,我收到此错误.这是我的代码和类:

from django.db import models
from core.models import Event

class TicketType(models.Model):
    name = models.CharField(max_length=45)
    price = models.DecimalField(max_length=2, decimal_places=2, max_digits=2)
    type = models.CharField(max_length=45)
    amount = models.IntegerField()
    event = models.ForeignKey(Event)

class Meta:
    app_label = "core"


import datetime
from django.core.serializers import json
from django.db import models
from core.models import User


class Event(models.Model):
    page_attribute = models.TextField()
    name = models.TextField(max_length=128 , default="New Event")
    description = models.TextField(default="")
    type = models.TextField(max_length=16)
    age_limit = models.IntegerField(default=0)
    end_date = models.DateTimeField(default=datetime.datetime.now())
    start_date = models.DateTimeField(default=datetime.datetime.now())
    is_active = models.BooleanField(default=False)
    user = models.ForeignKey(User)
    ticket_type=models.ForeignKey('core.models.ticket_type.TicketType') …

我尝试使用pip重新安装我的项目的要求,但我收到此错误.之前的安装失败.我怎么能删除它并继续？

E:\projects\project course\tkz>pip install -r requirements.txt
Downloading/unpacking Django==1.5.4 (from -r requirements.txt (line 1))
pip can't proceed with requirement 'Django==1.5.4 (from -r requirements.txt (lin
e 1))' due to a pre-existing build directory.
location: c:\users\sina\appdata\local\temp\pip_build_sina\Django
This is likely due to a previous installation that failed.
pip is being responsible and not assuming it can delete this.
Please delete it and try again.

Cleaning up...

数据工厂没有内置的日期差异功能。我想在 if 条件活动中比较 lastModified 日期和 utcnow 。我怎样才能实现它？

@greaterOrEquals(activity('Get Metadata1').output.lastModified, '2015-03-15T13:27:36Z')

我尝试使用两个 forEach 活动来迭代文件夹的子文件夹，并使用参数来获取子文件夹的元数据。我有 forEach1 和 forEach2 及其自己的项目数组。在第二个 for 循环中，我需要在 Metada 活动中组合两个 for 循环的 item() 来访问我的数据集，例如 @item1()@item2()。这可能吗？

当我持有具有订单的列表时,数据库中的结果具有不同的顺序.如何在JPA中保持与列表顺序的多对多关系？

@Entity
@Table(name = "house")
public final class House {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @Basic(optional = false)
    @Column(name = "name")
    private String name

    @ManyToMany(cascade = CascadeType.ALL)
    @JoinTable(name = "house_room",
            joinColumns =
            @JoinColumn(name = "id_house", referencedColumnName = "id"),
            inverseJoinColumns =
            @JoinColumn(name = "id_room", referencedColumnName = "id"))
    private List<Room> rooms;
}

房子对象:

Room room1 = new Room();
room1.setName("Kitchen");

Room room2 = new Room();
room2.setName("Bathroom");

Room room3 = new Room();
room3.setName("Bedroom");

List<Run> runs = new ArrayList<Run>();
rooms.add(0,room2);
rooms.add(1,room1);
rooms.add(2,room3);

House …

我正在使用Lambda-uploader编写python lambda代码并将zip移动到AWS.我创建了一个包含我的jar文件和zip文件夹结构,如下所示.

我正在使用的代码来自AWS门户,并且正在使用PIL类.我在Lambda-uploader中包含了Pillow库作为一项要求,但是当我通过导入创建的zip文件在Lambda控制台上创建我的Lambda函数时,我收到以下错误消息.任何帮助表示赞赏.

错误:

START RequestId: e4893543-93aa-11e7-b4b9-89453f1042aa Version: $LATEST
Unable to import module 'CreateThumbnail': cannot import name _imaging

END RequestId: e4893543-93aa-11e7-b4b9-89453f1042aa
REPORT RequestId: e4893543-93aa-11e7-b4b9-89453f1042aa  Duration: 0.44 ms   Billed Duration: 100 ms     Memory Size: 512 MB Max Memory Used: 33 MB

lambda.josn

{
  "name": "CreateThumbnail",
  "description": "It does things",
  "region": "us-east-1",
  "runtime": "python2.7",
  "handler": "CreateThumbnail.lambda_handler",
  "role": "arn:aws:iam::0000000000:role/LambdaTest",
  "requirements": ["Pillow"],
  "ignore": [
    "circle\\.yml$",
    "\\.git$",
    "/.*\\.pyc$"
  ],
  "timeout": 30,
  "memory": 512
}

python代码:

from __future__ import print_function
import boto3
import os …

我有一个包含 2000 列的稀疏表，我想选择几个特定的​​行及其非零值。我该怎么做？

    id       name   e1   e2   e3   e4 . . e550 . . e1200 .   e1760. . e2000
    1      engine1   0   0    0    2322   1300               140       0
    2      engine2   0   0  1230   0        0        2100              0
    .
    .
    .
    998000


df[df.name==engine2 & ? ]
    id    name      e3       e1200
    2   engine2    1230       2100   

和

df[df.name==engine1 & ? ]

    id    name      e4       e550     e1760
    1   engine1    2322       1300      140

我有一个数据框,有两列日期和引擎,如下所示.我需要一个查询来告诉

"Is there any repeated engineID withing the time period 2016-01-01 to 2016-06-30 ?"

engineID    Date
1133        2016-01-24
1133        2016-02-20
1132        2016-03-11
1643        2016-02-07
1165        2016-02-24
1724        2016-01-12
1133        2016-11-23 

所以这里最后一行不应该包含在答案中.

最终答案:

engineID    Date
1133        2016-01-24
1133        2016-02-20