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。
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
而
= Table.AddColumn(Source, "Custom", each if List.ContainsAny({[PrevLetter]},{"A","B","C"}) and List.ContainsAny({[Letter]},{"D","E","F"}) then true else false )
获取更新zip文件链接: https://www.shopware.com/en/changelog/
- 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
- 将所有文件解压缩到您的Shopware安装
unzip -q /var/www/update6413.zip -d /var/www/shopware
- concute concute update command
php /var/www/shopware/public/recovery/update/index.php
命令“ enter”以开始更新
- ,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
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,EnterQTY
(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。
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()
是 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。
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"
如果您需要SQL答案,则可能应该标记该问题
vue.config.js上的CSS部分中
只需添加提取:false
在文件
css: {
loaderOptions: {
...
..
.
},
extract:false
},
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 => ({})
})
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]
此页面讨论了HTTP2要求以及一些替代方案。
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.
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