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深陷 2025-02-21 00:37:57

此页面讨论了HTTP2要求以及一些替代方案。

.NET Framework has limited support for gRPC over HTTP/2. To enable gRPC over HTTP/2 on .NET Framework, configure the channel to use WinHttpHandler. 

https://learn.microsoft.com/en-us/aspnet/core/core/grpc/supported-platforms?view= aspnetcore-7.0

https://learn.microsoft.com/en-us/aspnet/core/grpc/netstandard?view=ply= aspnetcore-7.0

This page talks about an http2 requirement, and some alternatives.

.NET Framework has limited support for gRPC over HTTP/2. To enable gRPC over HTTP/2 on .NET Framework, configure the channel to use WinHttpHandler. 

https://learn.microsoft.com/en-us/aspnet/core/grpc/supported-platforms?view=aspnetcore-7.0

https://learn.microsoft.com/en-us/aspnet/core/grpc/netstandard?view=aspnetcore-7.0

我可以获取Google Analytics 4(GA4).NET客户端库在.NET Framework 4.7.2项目上工作

深陷 2025-02-20 17:27:21

这是由于在处置之前清除物品库集合而引起的。我们的解决方案是将CarouselView的物品源设置为NULL,然后再清除绑定集合时,当我们已经知道当前视图将被处置。
抱歉,我无法提供我们应用程序的来源。

This was caused by clearing the ItemsSource collection before disposing. Our solution was to set the ItemsSource of the CarouselView to null before clearing the bound collection when we already know that the current view will be disposed.
Sorry i wasn't able to provide the source of our app.

CarouselViewRenderer中的ObjectDisposedException

深陷 2025-02-20 10:48:37

在安装之前,您需要点击 repo

brew tap oven-sh/bun
brew install bun

Before installing, you need to tap the repo:

brew tap oven-sh/bun
brew install bun

如何通过自制配方安装面包

深陷 2025-02-20 09:55:38

答案取决于您是否正在寻找单词中的字母,或者该字母是否代表整个文本,但是就您的

= if Text.PositionOfAny([PrevLetter], {"A", "B","C"})+Text.PositionOfAny([Letter], {"E", "F","G"})=0 then true else false

示例

= try if Text.PositionOfAny([PrevLetter], {"A", "B","C"})+Text.PositionOfAny([Letter], {"E", "F","G"})=0 then true else false otherwise false

= Table.AddColumn(Source, "Custom", each if List.ContainsAny({[PrevLetter]},{"A","B","C"}) and List.ContainsAny({[Letter]},{"D","E","F"}) then true else false  )

The answer depends on if you are looking for a letter within a word, or if that letter represents the entire text, but for your example, one answer could be

= if Text.PositionOfAny([PrevLetter], {"A", "B","C"})+Text.PositionOfAny([Letter], {"E", "F","G"})=0 then true else false

or if you want to plan around nulls

= try if Text.PositionOfAny([PrevLetter], {"A", "B","C"})+Text.PositionOfAny([Letter], {"E", "F","G"})=0 then true else false otherwise false

or

= Table.AddColumn(Source, "Custom", each if List.ContainsAny({[PrevLetter]},{"A","B","C"}) and List.ContainsAny({[Letter]},{"D","E","F"}) then true else false  )

基于条件的电源查询列

深陷 2025-02-20 06:33:43

获取更新zip文件链接: https://www.shopware.com/en/changelog/

  1. 将zip文件转到服务器上,
wget https://www.shopware.com/en/Download/redirect/version/sw6/file/update_v6.4.13.0_a44572dd03739a816771148ad8bf5a0153f6e79a.zip -qq -O /var/www/update6413.zip
  1. 将所有文件解压缩到您的Shopware安装
unzip -q /var/www/update6413.zip -d /var/www/shopware

  1. concute concute update command
php /var/www/shopware/public/recovery/update/index.php

命令“ enter”以开始更新

  1. ,然后删除更新资产文件夹
rm -r update-assets/

并删除更新文件更新后

rm update.json

Get update zip file link: https://www.shopware.com/en/changelog/

  1. Get zip file to server
wget https://www.shopware.com/en/Download/redirect/version/sw6/file/update_v6.4.13.0_a44572dd03739a816771148ad8bf5a0153f6e79a.zip -qq -O /var/www/update6413.zip
  1. Unzip all files to your Shopware installation
unzip -q /var/www/update6413.zip -d /var/www/shopware

  1. Excute update command
php /var/www/shopware/public/recovery/update/index.php

Press "ENTER" to start updating

  1. Then remove update assets folder
rm -r update-assets/

and remove update file after update

rm update.json

如何使用命令行接口更新Shopware 6?

深陷 2025-02-20 06:30:35

或简单:

as.numeric(gsub("\\D", "", years))
# [1] 20  1

Or simply:

as.numeric(gsub("\\D", "", years))
# [1] 20  1

从字符串向量提取数字

深陷 2025-02-20 03:47:00

使用power查询

自己做

  • 右键单击桌子和在弹出菜单选择从表/范围... 获取数据。

  • 打开电源查询编辑器。

  • ctrl+left-click 项目描述将其添加到选择中。

  • 右click 项目描述,在弹出菜单中选择 undivot other列

  • left-click value 并将其拖到左侧属性列。

  • 右CLICK value 和在弹出菜单中选择重命名... 并将列重命名为 QTY

  • 类似地,右键单击属性,在弹出菜单中选择重命名... 并将列重命名为 loc名称

  • 右click loc名称和在弹出菜单中选择替换值... 和在替换值对话框中,在 value中查找文本框中,Enter QTY (请注意尾随空间)和按 ok

  • Right-Click LOC名称,在弹出菜单中选择 transform 和在变换弹出菜单中选择大写每个单词

  • select 关闭&在色带中加载

使用M-Code

  • 右键单击您的桌子和弹出窗口菜单选择从表/范围获取数据...

  • 电源查询编辑器打开。

  • 在功能区中,选择高级编辑器并将当前代码替换为以下一个(复制代码,单击框中,然后使用ctrl+a和ctrl+v)。

  • 如有必要,请调整表名和列名。

  • 选择完成

let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Item Name", type text}, {"Item Description", type text}, {"Qty loc1", Int64.Type}, {"Qty loc2", Int64.Type}, {"Qty loc3", Int64.Type}, {"Qty loc4", Int64.Type}, {"Qty loc5", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Item Name", "Item Description"}, "Attribute", "Value"),
    #"Reordered Columns" = Table.ReorderColumns(#"Unpivoted Other Columns",{"Item Name", "Item Description", "Value", "Attribute"}),
    #"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Value", "Qty"}, {"Attribute", "Loc Name"}}),
    #"Replaced Value" = Table.ReplaceValue(#"Renamed Columns","Qty ","",Replacer.ReplaceText,{"Loc Name"}),
    #"Capitalized Each Word" = Table.TransformColumns(#"Replaced Value",{{"Loc Name", Text.Proper, type text}})
in
    #"Capitalized Each Word"

  • select 关闭&在色带中加载

Unpivot Using Power Query

enter image description here

Do It Yourself

  • Right-click on your table and in the pop-up menu select Get Data from Table/Range....

enter image description here

  • The Power Query Editor opens.

enter image description here

  • Ctrl+left-click Item Description to add it to the selection.

enter image description here

  • Right-click Item Description and in the pop-up menu select Unpivot Other Columns.

enter image description here

  • Left-click Value and drag it to the left so the column switches places with the Attributes column.

enter image description here

  • Right-click Value and in the pop-up menu select Rename... and rename the column to Qty.

enter image description here

  • Similarly, right-click Attributes and in the pop-up menu select Rename... and rename the column to Loc Name.

enter image description here

  • Right-click Loc Name and in the pop-up menu select Replace Values... and in the Replace Values dialog, in the Value To Find text box, enter Qty (note the trailing space) and press OK.

enter image description here

enter image description here

  • Right-click Loc Name and in the pop-up menu select Transform and in the Transform pop-up menu select Capitalize Each Word.

enter image description here

  • Select Close & Load in the ribbon.

enter image description here

Use the M-Code

  • Right-click on your table and in the pop-up menu select Get Data from Table/Range....

  • The Power Query Editor opens.

  • In the ribbon, select Advanced Editor and replace the current code with the following one (copy the code, click in the box and use Ctrl+A and Ctrl+V).

  • Adjust the table name and the column names if necessary.

  • Select Done.

let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Item Name", type text}, {"Item Description", type text}, {"Qty loc1", Int64.Type}, {"Qty loc2", Int64.Type}, {"Qty loc3", Int64.Type}, {"Qty loc4", Int64.Type}, {"Qty loc5", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Item Name", "Item Description"}, "Attribute", "Value"),
    #"Reordered Columns" = Table.ReorderColumns(#"Unpivoted Other Columns",{"Item Name", "Item Description", "Value", "Attribute"}),
    #"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Value", "Qty"}, {"Attribute", "Loc Name"}}),
    #"Replaced Value" = Table.ReplaceValue(#"Renamed Columns","Qty ","",Replacer.ReplaceText,{"Loc Name"}),
    #"Capitalized Each Word" = Table.TransformColumns(#"Replaced Value",{{"Loc Name", Text.Proper, type text}})
in
    #"Capitalized Each Word"

enter image description here

  • Select Close & Load in the ribbon.

如何将水平数据移至垂直订单项?

深陷 2025-02-19 21:05:03

您的某些代码在不使用基于TCHAR的字符串的情况下使用基于TCHAR的API。您的某些代码在不使用Unicode字符串的情况下使用Unicode API。这就是为什么您会遇到转换错误的原因。

具体来说...

此代码:

AppendMenu(HSUBMENU, MF_STRING, FILE_MENU_EXIT, L"Quit");
AppendMenu(MENU1,  MF_POPUP, (UINT_PTR)HSUBMENU, L"FILE");

需要以下内容,因为 appendmenu() TCHAR 基于的宏:

AppendMenu(HSUBMENU, MF_STRING, FILE_MENU_EXIT, TEXT("Quit"));
AppendMenu(MENU1,  MF_POPUP, (UINT_PTR)HSUBMENU, TEXT("FILE"));

或者,如果您想专门使用Unicode Strings :

AppendMenuW(HSUBMENU, MF_STRING, FILE_MENU_EXIT, L"Quit");
AppendMenuW(MENU1,  MF_POPUP, (UINT_PTR)HSUBMENU, L"FILE");

和此代码:

wc.lpszMenuName = MAKEINTRESOURCE(IDR_MENU1);

需要以下内容,因为您使用的是基于Unicode的 wndclassw 而不是基于TCHAR的 wndclass makeIntresource()是基于tchar的):

wc.lpszMenuName = MAKEINTRESOURCEW(IDR_MENU1);

此代码:

while (GetMessage(&msg, NULL, 0, 0)) {

    TranslateMessage(&msg);
    DispatchMessage(&msg);
}

需要以下内容,因为您使用了基于Unicode的 registerClassw() and Code> createwindoww( )而不是基于TCHAR的 registerClass()和 createwindow()

while (GetMessageW(&msg, NULL, 0, 0)) {

    TranslateMessage(&msg);
    DispatchMessageW(&msg);
}

您确实需要选择一个编码方案并始终如一地坚持下去。使用所有基于TCHAR的API或所有基于Unicode的API。不要混合它们。

Some of your code is using TCHAR-based APIs without using TCHAR-based strings with them. And some of your code is using Unicode APIs without using Unicode strings with them. This is why you are getting conversion errors.

Specifically...

This code:

AppendMenu(HSUBMENU, MF_STRING, FILE_MENU_EXIT, L"Quit");
AppendMenu(MENU1,  MF_POPUP, (UINT_PTR)HSUBMENU, L"FILE");

Needs to be either the following, since AppendMenu() is a TCHAR-based macro:

AppendMenu(HSUBMENU, MF_STRING, FILE_MENU_EXIT, TEXT("Quit"));
AppendMenu(MENU1,  MF_POPUP, (UINT_PTR)HSUBMENU, TEXT("FILE"));

Or this, if you want to use Unicode strings specifically:

AppendMenuW(HSUBMENU, MF_STRING, FILE_MENU_EXIT, L"Quit");
AppendMenuW(MENU1,  MF_POPUP, (UINT_PTR)HSUBMENU, L"FILE");

And this code:

wc.lpszMenuName = MAKEINTRESOURCE(IDR_MENU1);

Needs to be the following, since you are using the Unicode-based WNDCLASSW instead of the TCHAR-based WNDCLASS (MAKEINTRESOURCE() is TCHAR-based):

wc.lpszMenuName = MAKEINTRESOURCEW(IDR_MENU1);

And this code:

while (GetMessage(&msg, NULL, 0, 0)) {

    TranslateMessage(&msg);
    DispatchMessage(&msg);
}

Needs to be the following, since you used the Unicode-based RegisterClassW() and CreateWindowW() instead of the TCHAR-based RegisterClass() and CreateWindow():

while (GetMessageW(&msg, NULL, 0, 0)) {

    TranslateMessage(&msg);
    DispatchMessageW(&msg);
}

You really need to pick one encoding scheme and stick with it consistently. Either use all TCHAR-based APIs, or all Unicode-based APIs. Don't mix them.

Win32应用程序故障

深陷 2025-02-19 18:10:19

这就是我用作PowerQuery的排名。它用于分组而不是表。每行迭代迭代,所以我的想法是,对于大型数据集

(Source as table, RankColumnName as text, optional OutputName as nullable text) =>
let
#"Added Index" = Table.AddIndexColumn(Source, "RankIndex", 0, 1, Int64.Type),
#"Grouped Rows" = Table.Group(#"Added Index", RankColumnName, {{"data", each _, type table}}),
#"Sorted Rows" = Table.Sort(#"Grouped Rows",{{RankColumnName, Order.Ascending}}),
#"Added Index1" = Table.AddIndexColumn(#"Sorted Rows", if OutputName=null or OutputName="" then"Rank" else OutputName, 1, 1, Int64.Type),
#"Removed Columns" = Table.RemoveColumns(#"Added Index1",RankColumnName),
#"Expanded data" = Table.ExpandTableColumn(#"Removed Columns", "data", Table.ColumnNames(#"Added Index"), Table.ColumnNames(#"Added Index")), //next row optional
#"Sorted Rows2" = Table.Buffer(Table.Sort(#"Expanded data",{{"RankIndex", Order.Ascending}})),
#"Removed Columns1" = Table.RemoveColumns(#"Sorted Rows2",{"RankIndex"})
in #"Removed Columns1"

“在此处输入图像描述”

如果您需要SQL答案,则可能应该标记该问题

This is what I use as rank in PowerQuery. It works on grouping instead of Table.RowCount iterated over each row, so my thought is it would be much faster for large data sets

(Source as table, RankColumnName as text, optional OutputName as nullable text) =>
let
#"Added Index" = Table.AddIndexColumn(Source, "RankIndex", 0, 1, Int64.Type),
#"Grouped Rows" = Table.Group(#"Added Index", RankColumnName, {{"data", each _, type table}}),
#"Sorted Rows" = Table.Sort(#"Grouped Rows",{{RankColumnName, Order.Ascending}}),
#"Added Index1" = Table.AddIndexColumn(#"Sorted Rows", if OutputName=null or OutputName="" then"Rank" else OutputName, 1, 1, Int64.Type),
#"Removed Columns" = Table.RemoveColumns(#"Added Index1",RankColumnName),
#"Expanded data" = Table.ExpandTableColumn(#"Removed Columns", "data", Table.ColumnNames(#"Added Index"), Table.ColumnNames(#"Added Index")), //next row optional
#"Sorted Rows2" = Table.Buffer(Table.Sort(#"Expanded data",{{"RankIndex", Order.Ascending}})),
#"Removed Columns1" = Table.RemoveColumns(#"Sorted Rows2",{"RankIndex"})
in #"Removed Columns1"

enter image description here

if you need a SQL answer you should probably tag the question with that

等级功能/用于电源查询

深陷 2025-02-19 16:00:02

vue.config.js上的CSS部分中

只需添加提取:false 在文件

  css: {
    loaderOptions: {
     ...
     ..
     .
    },
    extract:false
  },

just add extract:false in css section on file vue.config.js

for example

  css: {
    loaderOptions: {
     ...
     ..
     .
    },
    extract:false
  },

NPM运行构建与NPM运行的模板更改Serve vuejs

深陷 2025-02-18 17:21:12

https://www.youtube.com/watch?

和示例

以及CPLEX CPLEX cpoptimizer文档中的许多其他调度模型

Nice video at https://www.youtube.com/watch?v=PoG8tLSa0gE

And examples at https://www.linkedin.com/pulse/solving-simple-assembly-line-balancing-problem-cp-philippe-laborie/

And many other scheduling models in CPLEX CPOptimizer documentation

解决简单的装配线与元组平衡

深陷 2025-02-18 16:22:34

我能够在 stackoverflow上找到解决方案。理解我自己的解决方案。

我创建了一个自定义 basequeryWithChange 函数(全球)为所有查询定义了一个转换响应,我用自定义 basequerywithchange basequerywithchange

basequery 函数转换API响应

export const changeResponse = async (list) => {
    const dataArray = list.data
    console.log(dataArray) // 10 elements
    
    const finalArray = await dataArray.filter((each) => each.length !== 1) // 6 elements

    const normalizeData = (data) => {
        return data.flatMap((d) => {
            return { ...d[0], ...d[1] };
        });
    };

    const latestList = normalizeData(finalArray)

    console.log(normalizeData(finalArray)); // 6 elements

    return latestList
}

basequery


import { createApi, fetchBaseQuery } from "@reduxjs/toolkit/query/react";
// import function to transform API response
import { changeResponse } from "../../constants/changeResponse";

const baseQuery = fetchBaseQuery({
    baseUrl: "http://localhost:3500"
})

const baseQueryWithChange = async (args, api, extraOptions) => {
    let result = await baseQuery(args, api, extraOptions);
    if (result.data) {
        result.data = changeResponse(result.data)
        console.log(result.data)
    }
    return result
}

export const apiSlice = createApi({
    baseQuery: baseQueryWithChange,
    endpoints: builder => ({})
})

I was able to find a solution on stackoverflow where I got the understanding to fabricate my own solution.

I created a custom baseQueryWithChange function to (globally) define a transformResponse for all queries and I wrap baseQuery with the custom baseQueryWithChange

function to transform API response

export const changeResponse = async (list) => {
    const dataArray = list.data
    console.log(dataArray) // 10 elements
    
    const finalArray = await dataArray.filter((each) => each.length !== 1) // 6 elements

    const normalizeData = (data) => {
        return data.flatMap((d) => {
            return { ...d[0], ...d[1] };
        });
    };

    const latestList = normalizeData(finalArray)

    console.log(normalizeData(finalArray)); // 6 elements

    return latestList
}

baseQuery


import { createApi, fetchBaseQuery } from "@reduxjs/toolkit/query/react";
// import function to transform API response
import { changeResponse } from "../../constants/changeResponse";

const baseQuery = fetchBaseQuery({
    baseUrl: "http://localhost:3500"
})

const baseQueryWithChange = async (args, api, extraOptions) => {
    let result = await baseQuery(args, api, extraOptions);
    if (result.data) {
        result.data = changeResponse(result.data)
        console.log(result.data)
    }
    return result
}

export const apiSlice = createApi({
    baseQuery: baseQueryWithChange,
    endpoints: builder => ({})
})

如何在RTK查询中使用Transformesponse更改服务器响应

深陷 2025-02-18 13:30:54

您可以使用堆栈(而不是递归)实现回溯搜索算法。当然,作为指数算法,它仅适用于相对较小的输入。

from math import *

def sum_of_cubes(n):
    bag = []
    stack = [(floor(n**(1/3)), n, [])]                          # simulated initial call
    while stack:
        (k, n, s) = stack.pop()
        if n == 0: bag.append(s)
        elif k > 0:
            stack.append((k-1, n, s))                           # simulated recursive call
            if n-k**3 >= 0: stack.append((k-1, n-k**3, [k]+s))  # simulated recursive call
    return bag

示例:

>>> sum_of_cubes(8)
[[2]]

>>> sum_of_cubes(11)
[]

>>> sum_of_cubes(855)
[[1, 5, 9], [7, 8]]

>>> sum_of_cubes(3473)
[[9, 14], [1, 6, 8, 14], [1, 3, 4, 5, 8, 14], [2, 3, 8, 9, 13], [1, 2, 4, 5, 6, 11, 12], [1, 2, 3, 5, 7, 8, 9, 12], [2, 4, 5, 6, 9, 10, 11]]

>>> sum_of_cubes(sum(n**3 for n in range(11)))
[[1, 4, 6, 14], [2, 3, 4, 9, 13], [1, 2, 3, 4, 6, 8, 13], [1, 2, 6, 7, 9, 12], [1, 2, 3, 4, 5, 7, 9, 12], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]

>>> sum_of_cubes(15000)
[[2, 3, 5, 6, 9, 12, 23], [3, 5, 8, 10, 11, 14, 21], [3, 9, 11, 17, 20], [1, 3, 6, 8, 11, 17, 20], [2, 4, 5, 6, 7, 11, 17, 20], [2, 3, 5, 14, 16, 20], [3, 5, 9, 14, 15, 20], [1, 3, 5, 6, 8, 14, 15, 20], [6, 8, 11, 13, 14, 20], [3, 4, 5, 8, 11, 13, 14, 20], [2, 4, 5, 10, 11, 12, 14, 20], [5, 7, 9, 11, 12, 14, 20], [1, 5, 6, 7, 8, 11, 12, 14, 20], [5, 6, 7, 8, 9, 10, 11, 14, 20], [2, 3, 5, 7, 8, 9, 11, 12, 13, 20], [3, 5, 6, 8, 15, 17, 18], [5, 6, 7, 8, 11, 12, 17, 18], [1, 2, 5, 7, 8, 9, 11, 14, 15, 18], [2, 3, 5, 6, 8, 12, 15, 16, 17], [2, 3, 4, 5, 6, 11, 13, 14, 15, 17]]

备注如果您有兴趣获得可能的解决方案中的一个,则可以使用该算法的其他版本:

def sum_of_cubes(n):
    stack = [(floor(n**(1/3)), n, [])]
    while stack:
        (k, n, s) = stack.pop()
        if n == 0: return s
        elif k > 0:
            stack.append((k-1, n, s))
            if n-k**3 >= 0: stack.append((k-1, n-k**3, [k]+s))

示例:

>>> sum_of_cubes(sum(n**3 for n in range(1001)))
[4, 5, 7, 9, 14, 75, 457, 6303]

You can implement a backtracking search algorithm using a stack (instead of recursion). Of course, being an exponential algorithm, it only works for inputs of relatively small size.

from math import *

def sum_of_cubes(n):
    bag = []
    stack = [(floor(n**(1/3)), n, [])]                          # simulated initial call
    while stack:
        (k, n, s) = stack.pop()
        if n == 0: bag.append(s)
        elif k > 0:
            stack.append((k-1, n, s))                           # simulated recursive call
            if n-k**3 >= 0: stack.append((k-1, n-k**3, [k]+s))  # simulated recursive call
    return bag

Examples:

>>> sum_of_cubes(8)
[[2]]

>>> sum_of_cubes(11)
[]

>>> sum_of_cubes(855)
[[1, 5, 9], [7, 8]]

>>> sum_of_cubes(3473)
[[9, 14], [1, 6, 8, 14], [1, 3, 4, 5, 8, 14], [2, 3, 8, 9, 13], [1, 2, 4, 5, 6, 11, 12], [1, 2, 3, 5, 7, 8, 9, 12], [2, 4, 5, 6, 9, 10, 11]]

>>> sum_of_cubes(sum(n**3 for n in range(11)))
[[1, 4, 6, 14], [2, 3, 4, 9, 13], [1, 2, 3, 4, 6, 8, 13], [1, 2, 6, 7, 9, 12], [1, 2, 3, 4, 5, 7, 9, 12], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]

>>> sum_of_cubes(15000)
[[2, 3, 5, 6, 9, 12, 23], [3, 5, 8, 10, 11, 14, 21], [3, 9, 11, 17, 20], [1, 3, 6, 8, 11, 17, 20], [2, 4, 5, 6, 7, 11, 17, 20], [2, 3, 5, 14, 16, 20], [3, 5, 9, 14, 15, 20], [1, 3, 5, 6, 8, 14, 15, 20], [6, 8, 11, 13, 14, 20], [3, 4, 5, 8, 11, 13, 14, 20], [2, 4, 5, 10, 11, 12, 14, 20], [5, 7, 9, 11, 12, 14, 20], [1, 5, 6, 7, 8, 11, 12, 14, 20], [5, 6, 7, 8, 9, 10, 11, 14, 20], [2, 3, 5, 7, 8, 9, 11, 12, 13, 20], [3, 5, 6, 8, 15, 17, 18], [5, 6, 7, 8, 11, 12, 17, 18], [1, 2, 5, 7, 8, 9, 11, 14, 15, 18], [2, 3, 5, 6, 8, 12, 15, 16, 17], [2, 3, 4, 5, 6, 11, 13, 14, 15, 17]]

Remark If you are interested in getting only one of the possible solutions, you can use this other version of the algorithm:

def sum_of_cubes(n):
    stack = [(floor(n**(1/3)), n, [])]
    while stack:
        (k, n, s) = stack.pop()
        if n == 0: return s
        elif k > 0:
            stack.append((k-1, n, s))
            if n-k**3 >= 0: stack.append((k-1, n-k**3, [k]+s))

Example:

>>> sum_of_cubes(sum(n**3 for n in range(1001)))
[4, 5, 7, 9, 14, 75, 457, 6303]

Python中的立方体总和

深陷 2025-02-18 10:53:50

您可以更改cypress.json中下载的位置:

{
  "viewportHeight": 880,
  "viewportWidth": 1280,
  "downloadsFolder": "yourPathHere"
}

在下面的代码中,属性“下载者”负责更改下载的位置。更多信息在这里

You can change the location of downloads in cypress.json like this:

{
  "viewportHeight": 880,
  "viewportWidth": 1280,
  "downloadsFolder": "yourPathHere"
}

In the code below, the property "downloadsFolder" is responsible to change the location of downloads. More information here.

如何在灯具/下载文件夹中下载文件

深陷 2025-02-17 22:48:17

假设Postgres,来自比较操作员

谓词之间简化了范围测试:

x和y

之间

等于

a> = x和a< = y

请注意,将端点值处理为范围内的端点值。在对称之间就像在两者之间,除了不要求左侧的论点,并且不小于或等于右侧的论点。如果不是这样,那两个参数会自动互换,因此始终暗示非空范围。

因此,这是:

在current_date和current_date之间 - 30

需要以下:

purrent_date -30和current_date

除非您使用 Symmetric

Assuming Postgres, from Comparison operators:

The BETWEEN predicate simplifies range tests:

a BETWEEN x AND y

is equivalent to

a >= x AND a <= y

Notice that BETWEEN treats the endpoint values as included in the range. BETWEEN SYMMETRIC is like BETWEEN except there is no requirement that the argument to the left of AND be less than or equal to the argument on the right. If it is not, those two arguments are automatically swapped, so that a nonempty range is always implied.

So this:

between current_date and current_date - 30

needs to be this:

between current_date - 30 and current_date

unless you use SYMMETRIC.

如何从SQL的当前日期开始减去30天?

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