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mmt | 微信、易信接入 | Chat library

 by   cjm0000000 Java Version: V1.0-beta License: Apache-2.0

 by   cjm0000000 Java Version: V1.0-beta License: Apache-2.0

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kandi X-RAY | mmt Summary

mmt is a Java library typically used in Messaging, Chat applications. mmt has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
微信、易信接入
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • mmt has a low active ecosystem.
  • It has 11 star(s) with 22 fork(s). There are 8 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 11 have been closed. On average issues are closed in 0 days. There are 3 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of mmt is V1.0-beta
mmt Support
Best in #Chat
Average in #Chat
mmt Support
Best in #Chat
Average in #Chat

quality kandi Quality

  • mmt has 0 bugs and 0 code smells.
mmt Quality
Best in #Chat
Average in #Chat
mmt Quality
Best in #Chat
Average in #Chat

securitySecurity

  • mmt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • mmt code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
mmt Security
Best in #Chat
Average in #Chat
mmt Security
Best in #Chat
Average in #Chat

license License

  • mmt is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
mmt License
Best in #Chat
Average in #Chat
mmt License
Best in #Chat
Average in #Chat

buildReuse

  • mmt releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • mmt saves you 8375 person hours of effort in developing the same functionality from scratch.
  • It has 17200 lines of code, 1189 functions and 235 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
mmt Reuse
Best in #Chat
Average in #Chat
mmt Reuse
Best in #Chat
Average in #Chat
Top functions reviewed by kandi - BETA

kandi has reviewed mmt and discovered the below as its top functions. This is intended to give you an instant insight into mmt implemented functionality, and help decide if they suit your requirements.

  • Process message content .
  • Attempt authentication .
  • generate custom menu
  • Deep equals .
  • sync file to web server
  • Parse boxed primitive type .
  • Save model .
  • Load user by username
  • Obtain authority tree from a list of menus
  • Generate weather report .

mmt Key Features

微信、易信接入

2. 构建【构建之前请先修改数据源】

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$ git clone https://github.com/cjm0000000/mmt.git mmt
$ cd mmt
$ mvn install

3. 配置微信接入:

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<filter>
	<filter-name>weixinGW</filter-name>
	<filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class>
	<init-param>
		<param-name>targetFilterLifecycle</param-name>
		<param-value>true</param-value>
	</init-param>
</filter>
<filter-mapping>
	<filter-name>weixinGW</filter-name>
	<url-pattern>/weichat/*</url-pattern>
</filter-mapping>

4. 配置易信接入:

copy iconCopydownload iconDownload
<filter>
	<filter-name>yixinGW</filter-name>
	<filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class>
	<init-param>
		<param-name>targetFilterLifecycle</param-name>
		<param-value>true</param-value>
	</init-param>
</filter>
<filter-mapping>
	<filter-name>yixinGW</filter-name>
	<url-pattern>/echat/*</url-pattern>
</filter-mapping>

Printing on two labels at the same time with ZPL

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^XA
^LH0,0
... left label here ...
^LHnnn,0
... right label here ...
^LH0,0
^XZ

Powershell script using start-process and piping out-file to text file, not working, produces blank text file

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$7zFilePath = "C:\Program Files\7-Zip\7z.exe"
$contentsToArchive = "D:\Temp -Local\Attack on Titan- Before the Fall-002.jpg"
$workingFolder = "D:\Games\Emulation\ROMS\GoodGen V3.21"
$archiveName = "testing {0:yyyy-MM-dd HH.mm.ss.ffff}" -f ($dateStart)

$argument = "a -t7z -m0=LZMA2 -mmt=on -mx9 -md=64m -ms=16g -mfb=273 -mqs=on -mtc=on -mta=on -bb3 `"$workingFolder\$archiveName.7z`" `"$contentsToArchive`""
Set-Location $workingFolder
Start-Process $7zFilePath "$argument" -NoNewWindow -Wait -RedirectStandardOutput ".\$archiveName.txt"
& $7zFilePath `"$argument`" | Out-File -FilePath ".\$archiveName.txt"
-----------------------
$7zFilePath = "C:\Program Files\7-Zip\7z.exe"
$contentsToArchive = "D:\Temp -Local\Attack on Titan- Before the Fall-002.jpg"
$workingFolder = "D:\Games\Emulation\ROMS\GoodGen V3.21"
$archiveName = "testing {0:yyyy-MM-dd HH.mm.ss.ffff}" -f ($dateStart)

$argument = "a -t7z -m0=LZMA2 -mmt=on -mx9 -md=64m -ms=16g -mfb=273 -mqs=on -mtc=on -mta=on -bb3 `"$workingFolder\$archiveName.7z`" `"$contentsToArchive`""
Set-Location $workingFolder
Start-Process $7zFilePath "$argument" -NoNewWindow -Wait -RedirectStandardOutput ".\$archiveName.txt"
& $7zFilePath `"$argument`" | Out-File -FilePath ".\$archiveName.txt"

Fitting a ZPL 128 barcode on a 2 inch wide Zebra printer label

copy iconCopydownload iconDownload
^XA
^MMT
^PW406
^LL0300
^LS0
^FT30,30^AAN,18,6^FH\^FDReq #: 0000123^FS
^FT30,55^AAN,18,6^FH\^FDAcct #: 987654321^FS
^FT30,80^AAN,18,6^FH\^FDLastName, FirstName^FS
^BY2
^FT30,160^BCN,50,Y,N,N,A
^FT30,170^AAN,18,6^FD9751378600002570^FS
^XZ

countvectorizer not able to detect , words

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from sklearn.feature_extraction.text import CountVectorizer

final_vocab = ['Amazon',
'Big Bazaar',
'Brand Factory',
'Central',
'Cleartrip',
'Dominos',
'Flipkart',
'IRCTC',
'Lenskart',
'Lifestyle',
'MAX',
'MMT',
'More',
'Myntra']
 
vect = CountVectorizer(vocabulary=final_vocab, ngram_range=(2, 2), lowercase=False)
token_df = pd.DataFrame(vect.transform(['Big Bazaar','Brand Factory']).todense(), columns=vect.get_feature_names())

Generics of Generic types

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#![feature(generic_associated_types)]

trait Monad {
    type Type<T>;
    fn singleton<T>(t: T) -> Self::Type<T>;
    fn compact<T>(mmt: Self::Type<Self::Type<T>>) -> Self::Type<T>;
}

struct Vector;

impl Monad for Vector {
    type Type<T> = Vec<T>;
    fn singleton<T>(t: T) -> Self::Type<T> {
        vec![t]
    }
    fn compact<T>(mmt: Self::Type<Self::Type<T>>) -> Self::Type<T> {
        mmt.into_iter().flatten().collect()
    }
}
struct movable {
    movable() = delete;
    movable(const movable&) = delete;
    movable(movable&&) noexcept = default;
    movable& operator=(const movable&) = delete;
    movable& operator=(movable&&) noexcept = default;
    ~movable() = default;
};

template<template<typename> typename M>
struct type {};

template<template<typename> typename M>
concept monad = requires {
    { singleton(type<M>{}, movable{}) } -> std::same_as<M<movable>>;
    // compact is similar
};
-----------------------
#![feature(generic_associated_types)]

trait Monad {
    type Type<T>;
    fn singleton<T>(t: T) -> Self::Type<T>;
    fn compact<T>(mmt: Self::Type<Self::Type<T>>) -> Self::Type<T>;
}

struct Vector;

impl Monad for Vector {
    type Type<T> = Vec<T>;
    fn singleton<T>(t: T) -> Self::Type<T> {
        vec![t]
    }
    fn compact<T>(mmt: Self::Type<Self::Type<T>>) -> Self::Type<T> {
        mmt.into_iter().flatten().collect()
    }
}
struct movable {
    movable() = delete;
    movable(const movable&) = delete;
    movable(movable&&) noexcept = default;
    movable& operator=(const movable&) = delete;
    movable& operator=(movable&&) noexcept = default;
    ~movable() = default;
};

template<template<typename> typename M>
struct type {};

template<template<typename> typename M>
concept monad = requires {
    { singleton(type<M>{}, movable{}) } -> std::same_as<M<movable>>;
    // compact is similar
};
-----------------------
trait Foo {
    type OutputCollection<T>;
    fn get_collection<T>(&self) -> Self::OutputCollection<T>;
}
trait ContainerHelper<Container> {
    type Container;
}

struct VecContainer;

impl<T> ContainerHelper<VecContainer> for T {
    type Container = Vec<T>;
}

trait Foo {
    fn get_collection<T, Container>(&self) -> 
        <T as ContainerHelper<Container>>::Container
    where
        T: ContainerHelper<Container>;
}
-----------------------
trait Foo {
    type OutputCollection<T>;
    fn get_collection<T>(&self) -> Self::OutputCollection<T>;
}
trait ContainerHelper<Container> {
    type Container;
}

struct VecContainer;

impl<T> ContainerHelper<VecContainer> for T {
    type Container = Vec<T>;
}

trait Foo {
    fn get_collection<T, Container>(&self) -> 
        <T as ContainerHelper<Container>>::Container
    where
        T: ContainerHelper<Container>;
}

how to add new row into each group of groupby in PANDAS , one of the value of that row is sum of values of each groups

copy iconCopydownload iconDownload
df_sum = df.groupby(['eff_date','mdl_cd','ast_cd'], as_index=False)['value'].sum().assign(prop_cd='Hlds')

df_out = pd.concat([df, df_sum]).sort_values(['eff_date','mdl_cd','ast_cd'], kind='stable', ignore_index=True)
print(df_out)

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Agri    Hlds -0.3723
4   2021-09-22    Comm      Engy     Car  0.1212
5   2021-09-22    Comm      Engy    Fund -0.1234
6   2021-09-22    Comm      Engy     Mmt  0.5123
7   2021-09-22    Comm      Engy    Hlds  0.5101
8   2021-09-22    Comm  Industry     Car -0.7612
9   2021-09-22    Comm  Industry    Fund  0.1212
10  2021-09-22    Comm  Industry     Mmt -0.1234
11  2021-09-22    Comm  Industry    Hlds -0.7634
12  2021-09-22    Comm     Metal     Car  0.5123
13  2021-09-22    Comm     Metal    Fund -0.7612
14  2021-09-22    Comm     Metal     Mmt  0.1212
15  2021-09-22    Comm     Metal    Hlds -0.1277
16  2021-09-23  Equity      Agri     Car  0.6541
17  2021-09-23  Equity      Agri    Fund  0.5123
18  2021-09-23  Equity      Agri     Mmt -0.1874
19  2021-09-23  Equity      Agri    Hlds  0.9790
20  2021-09-23  Equity      Engy     Car  0.1212
21  2021-09-23  Equity      Engy    Fund -0.6234
22  2021-09-23  Equity      Engy     Mmt  0.5123
23  2021-09-23  Equity      Engy    Hlds  0.0101
24  2021-09-23  Equity  Industry     Car -0.1612
25  2021-09-23  Equity  Industry    Fund  0.1212
26  2021-09-23  Equity  Industry     Mmt -0.1934
27  2021-09-23  Equity  Industry    Hlds -0.2334
28  2021-09-23  Equity     Metal     Car  0.5123
29  2021-09-23  Equity     Metal    Fund  0.5412
30  2021-09-23  Equity     Metal     Mmt  0.1212
31  2021-09-23  Equity     Metal    Hlds  1.1747
df = pd.read_clipboard(',')

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Engy     Car  0.1212
4   2021-09-22    Comm      Engy    Fund -0.1234
5   2021-09-22    Comm      Engy     Mmt  0.5123
6   2021-09-22    Comm  Industry     Car -0.7612
7   2021-09-22    Comm  Industry    Fund  0.1212
8   2021-09-22    Comm  Industry     Mmt -0.1234
9   2021-09-22    Comm     Metal     Car  0.5123
10  2021-09-22    Comm     Metal    Fund -0.7612
11  2021-09-22    Comm     Metal     Mmt  0.1212
12  2021-09-23  Equity      Agri     Car  0.6541
13  2021-09-23  Equity      Agri    Fund  0.5123
14  2021-09-23  Equity      Agri     Mmt -0.1874
15  2021-09-23  Equity      Engy     Car  0.1212
16  2021-09-23  Equity      Engy    Fund -0.6234
17  2021-09-23  Equity      Engy     Mmt  0.5123
18  2021-09-23  Equity  Industry     Car -0.1612
19  2021-09-23  Equity  Industry    Fund  0.1212
20  2021-09-23  Equity  Industry     Mmt -0.1934
21  2021-09-23  Equity     Metal     Car  0.5123
22  2021-09-23  Equity     Metal    Fund  0.5412
23  2021-09-23  Equity     Metal     Mmt  0.1212
print(df_sum)

     eff_date  mdl_cd    ast_cd   value prop_cd
0  2021-09-22    Comm      Agri -0.3723    Hlds
1  2021-09-22    Comm      Engy  0.5101    Hlds
2  2021-09-22    Comm  Industry -0.7634    Hlds
3  2021-09-22    Comm     Metal -0.1277    Hlds
4  2021-09-23  Equity      Agri  0.9790    Hlds
5  2021-09-23  Equity      Engy  0.0101    Hlds
6  2021-09-23  Equity  Industry -0.2334    Hlds
7  2021-09-23  Equity     Metal  1.1747    Hlds
-----------------------
df_sum = df.groupby(['eff_date','mdl_cd','ast_cd'], as_index=False)['value'].sum().assign(prop_cd='Hlds')

df_out = pd.concat([df, df_sum]).sort_values(['eff_date','mdl_cd','ast_cd'], kind='stable', ignore_index=True)
print(df_out)

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Agri    Hlds -0.3723
4   2021-09-22    Comm      Engy     Car  0.1212
5   2021-09-22    Comm      Engy    Fund -0.1234
6   2021-09-22    Comm      Engy     Mmt  0.5123
7   2021-09-22    Comm      Engy    Hlds  0.5101
8   2021-09-22    Comm  Industry     Car -0.7612
9   2021-09-22    Comm  Industry    Fund  0.1212
10  2021-09-22    Comm  Industry     Mmt -0.1234
11  2021-09-22    Comm  Industry    Hlds -0.7634
12  2021-09-22    Comm     Metal     Car  0.5123
13  2021-09-22    Comm     Metal    Fund -0.7612
14  2021-09-22    Comm     Metal     Mmt  0.1212
15  2021-09-22    Comm     Metal    Hlds -0.1277
16  2021-09-23  Equity      Agri     Car  0.6541
17  2021-09-23  Equity      Agri    Fund  0.5123
18  2021-09-23  Equity      Agri     Mmt -0.1874
19  2021-09-23  Equity      Agri    Hlds  0.9790
20  2021-09-23  Equity      Engy     Car  0.1212
21  2021-09-23  Equity      Engy    Fund -0.6234
22  2021-09-23  Equity      Engy     Mmt  0.5123
23  2021-09-23  Equity      Engy    Hlds  0.0101
24  2021-09-23  Equity  Industry     Car -0.1612
25  2021-09-23  Equity  Industry    Fund  0.1212
26  2021-09-23  Equity  Industry     Mmt -0.1934
27  2021-09-23  Equity  Industry    Hlds -0.2334
28  2021-09-23  Equity     Metal     Car  0.5123
29  2021-09-23  Equity     Metal    Fund  0.5412
30  2021-09-23  Equity     Metal     Mmt  0.1212
31  2021-09-23  Equity     Metal    Hlds  1.1747
df = pd.read_clipboard(',')

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Engy     Car  0.1212
4   2021-09-22    Comm      Engy    Fund -0.1234
5   2021-09-22    Comm      Engy     Mmt  0.5123
6   2021-09-22    Comm  Industry     Car -0.7612
7   2021-09-22    Comm  Industry    Fund  0.1212
8   2021-09-22    Comm  Industry     Mmt -0.1234
9   2021-09-22    Comm     Metal     Car  0.5123
10  2021-09-22    Comm     Metal    Fund -0.7612
11  2021-09-22    Comm     Metal     Mmt  0.1212
12  2021-09-23  Equity      Agri     Car  0.6541
13  2021-09-23  Equity      Agri    Fund  0.5123
14  2021-09-23  Equity      Agri     Mmt -0.1874
15  2021-09-23  Equity      Engy     Car  0.1212
16  2021-09-23  Equity      Engy    Fund -0.6234
17  2021-09-23  Equity      Engy     Mmt  0.5123
18  2021-09-23  Equity  Industry     Car -0.1612
19  2021-09-23  Equity  Industry    Fund  0.1212
20  2021-09-23  Equity  Industry     Mmt -0.1934
21  2021-09-23  Equity     Metal     Car  0.5123
22  2021-09-23  Equity     Metal    Fund  0.5412
23  2021-09-23  Equity     Metal     Mmt  0.1212
print(df_sum)

     eff_date  mdl_cd    ast_cd   value prop_cd
0  2021-09-22    Comm      Agri -0.3723    Hlds
1  2021-09-22    Comm      Engy  0.5101    Hlds
2  2021-09-22    Comm  Industry -0.7634    Hlds
3  2021-09-22    Comm     Metal -0.1277    Hlds
4  2021-09-23  Equity      Agri  0.9790    Hlds
5  2021-09-23  Equity      Engy  0.0101    Hlds
6  2021-09-23  Equity  Industry -0.2334    Hlds
7  2021-09-23  Equity     Metal  1.1747    Hlds
-----------------------
df_sum = df.groupby(['eff_date','mdl_cd','ast_cd'], as_index=False)['value'].sum().assign(prop_cd='Hlds')

df_out = pd.concat([df, df_sum]).sort_values(['eff_date','mdl_cd','ast_cd'], kind='stable', ignore_index=True)
print(df_out)

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Agri    Hlds -0.3723
4   2021-09-22    Comm      Engy     Car  0.1212
5   2021-09-22    Comm      Engy    Fund -0.1234
6   2021-09-22    Comm      Engy     Mmt  0.5123
7   2021-09-22    Comm      Engy    Hlds  0.5101
8   2021-09-22    Comm  Industry     Car -0.7612
9   2021-09-22    Comm  Industry    Fund  0.1212
10  2021-09-22    Comm  Industry     Mmt -0.1234
11  2021-09-22    Comm  Industry    Hlds -0.7634
12  2021-09-22    Comm     Metal     Car  0.5123
13  2021-09-22    Comm     Metal    Fund -0.7612
14  2021-09-22    Comm     Metal     Mmt  0.1212
15  2021-09-22    Comm     Metal    Hlds -0.1277
16  2021-09-23  Equity      Agri     Car  0.6541
17  2021-09-23  Equity      Agri    Fund  0.5123
18  2021-09-23  Equity      Agri     Mmt -0.1874
19  2021-09-23  Equity      Agri    Hlds  0.9790
20  2021-09-23  Equity      Engy     Car  0.1212
21  2021-09-23  Equity      Engy    Fund -0.6234
22  2021-09-23  Equity      Engy     Mmt  0.5123
23  2021-09-23  Equity      Engy    Hlds  0.0101
24  2021-09-23  Equity  Industry     Car -0.1612
25  2021-09-23  Equity  Industry    Fund  0.1212
26  2021-09-23  Equity  Industry     Mmt -0.1934
27  2021-09-23  Equity  Industry    Hlds -0.2334
28  2021-09-23  Equity     Metal     Car  0.5123
29  2021-09-23  Equity     Metal    Fund  0.5412
30  2021-09-23  Equity     Metal     Mmt  0.1212
31  2021-09-23  Equity     Metal    Hlds  1.1747
df = pd.read_clipboard(',')

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Engy     Car  0.1212
4   2021-09-22    Comm      Engy    Fund -0.1234
5   2021-09-22    Comm      Engy     Mmt  0.5123
6   2021-09-22    Comm  Industry     Car -0.7612
7   2021-09-22    Comm  Industry    Fund  0.1212
8   2021-09-22    Comm  Industry     Mmt -0.1234
9   2021-09-22    Comm     Metal     Car  0.5123
10  2021-09-22    Comm     Metal    Fund -0.7612
11  2021-09-22    Comm     Metal     Mmt  0.1212
12  2021-09-23  Equity      Agri     Car  0.6541
13  2021-09-23  Equity      Agri    Fund  0.5123
14  2021-09-23  Equity      Agri     Mmt -0.1874
15  2021-09-23  Equity      Engy     Car  0.1212
16  2021-09-23  Equity      Engy    Fund -0.6234
17  2021-09-23  Equity      Engy     Mmt  0.5123
18  2021-09-23  Equity  Industry     Car -0.1612
19  2021-09-23  Equity  Industry    Fund  0.1212
20  2021-09-23  Equity  Industry     Mmt -0.1934
21  2021-09-23  Equity     Metal     Car  0.5123
22  2021-09-23  Equity     Metal    Fund  0.5412
23  2021-09-23  Equity     Metal     Mmt  0.1212
print(df_sum)

     eff_date  mdl_cd    ast_cd   value prop_cd
0  2021-09-22    Comm      Agri -0.3723    Hlds
1  2021-09-22    Comm      Engy  0.5101    Hlds
2  2021-09-22    Comm  Industry -0.7634    Hlds
3  2021-09-22    Comm     Metal -0.1277    Hlds
4  2021-09-23  Equity      Agri  0.9790    Hlds
5  2021-09-23  Equity      Engy  0.0101    Hlds
6  2021-09-23  Equity  Industry -0.2334    Hlds
7  2021-09-23  Equity     Metal  1.1747    Hlds
-----------------------
df_sum = df.groupby(['eff_date','mdl_cd','ast_cd'], as_index=False)['value'].sum().assign(prop_cd='Hlds')

df_out = pd.concat([df, df_sum]).sort_values(['eff_date','mdl_cd','ast_cd'], kind='stable', ignore_index=True)
print(df_out)

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Agri    Hlds -0.3723
4   2021-09-22    Comm      Engy     Car  0.1212
5   2021-09-22    Comm      Engy    Fund -0.1234
6   2021-09-22    Comm      Engy     Mmt  0.5123
7   2021-09-22    Comm      Engy    Hlds  0.5101
8   2021-09-22    Comm  Industry     Car -0.7612
9   2021-09-22    Comm  Industry    Fund  0.1212
10  2021-09-22    Comm  Industry     Mmt -0.1234
11  2021-09-22    Comm  Industry    Hlds -0.7634
12  2021-09-22    Comm     Metal     Car  0.5123
13  2021-09-22    Comm     Metal    Fund -0.7612
14  2021-09-22    Comm     Metal     Mmt  0.1212
15  2021-09-22    Comm     Metal    Hlds -0.1277
16  2021-09-23  Equity      Agri     Car  0.6541
17  2021-09-23  Equity      Agri    Fund  0.5123
18  2021-09-23  Equity      Agri     Mmt -0.1874
19  2021-09-23  Equity      Agri    Hlds  0.9790
20  2021-09-23  Equity      Engy     Car  0.1212
21  2021-09-23  Equity      Engy    Fund -0.6234
22  2021-09-23  Equity      Engy     Mmt  0.5123
23  2021-09-23  Equity      Engy    Hlds  0.0101
24  2021-09-23  Equity  Industry     Car -0.1612
25  2021-09-23  Equity  Industry    Fund  0.1212
26  2021-09-23  Equity  Industry     Mmt -0.1934
27  2021-09-23  Equity  Industry    Hlds -0.2334
28  2021-09-23  Equity     Metal     Car  0.5123
29  2021-09-23  Equity     Metal    Fund  0.5412
30  2021-09-23  Equity     Metal     Mmt  0.1212
31  2021-09-23  Equity     Metal    Hlds  1.1747
df = pd.read_clipboard(',')

      eff_date  mdl_cd    ast_cd prop_cd   value
0   2021-09-22    Comm      Agri     Car -0.1234
1   2021-09-22    Comm      Agri    Fund  0.5123
2   2021-09-22    Comm      Agri     Mmt -0.7612
3   2021-09-22    Comm      Engy     Car  0.1212
4   2021-09-22    Comm      Engy    Fund -0.1234
5   2021-09-22    Comm      Engy     Mmt  0.5123
6   2021-09-22    Comm  Industry     Car -0.7612
7   2021-09-22    Comm  Industry    Fund  0.1212
8   2021-09-22    Comm  Industry     Mmt -0.1234
9   2021-09-22    Comm     Metal     Car  0.5123
10  2021-09-22    Comm     Metal    Fund -0.7612
11  2021-09-22    Comm     Metal     Mmt  0.1212
12  2021-09-23  Equity      Agri     Car  0.6541
13  2021-09-23  Equity      Agri    Fund  0.5123
14  2021-09-23  Equity      Agri     Mmt -0.1874
15  2021-09-23  Equity      Engy     Car  0.1212
16  2021-09-23  Equity      Engy    Fund -0.6234
17  2021-09-23  Equity      Engy     Mmt  0.5123
18  2021-09-23  Equity  Industry     Car -0.1612
19  2021-09-23  Equity  Industry    Fund  0.1212
20  2021-09-23  Equity  Industry     Mmt -0.1934
21  2021-09-23  Equity     Metal     Car  0.5123
22  2021-09-23  Equity     Metal    Fund  0.5412
23  2021-09-23  Equity     Metal     Mmt  0.1212
print(df_sum)

     eff_date  mdl_cd    ast_cd   value prop_cd
0  2021-09-22    Comm      Agri -0.3723    Hlds
1  2021-09-22    Comm      Engy  0.5101    Hlds
2  2021-09-22    Comm  Industry -0.7634    Hlds
3  2021-09-22    Comm     Metal -0.1277    Hlds
4  2021-09-23  Equity      Agri  0.9790    Hlds
5  2021-09-23  Equity      Engy  0.0101    Hlds
6  2021-09-23  Equity  Industry -0.2334    Hlds
7  2021-09-23  Equity     Metal  1.1747    Hlds

ZPL code logic and barcodes which contain - symbol

copy iconCopydownload iconDownload
^XA

^BY4,3,91
^FT26,190^BCN,,Y,N
^FD211212-PB00000658^FS

^BY4,3,91
^FT26,390^BCN,,Y,N
^FH^FD>;211212>6-PB>500000658^FS

^XZ
>;211212>6-PB>500000658

>;          start code C (all numeric)
211212      numeric value
>6          invocation code, select subset character code B, allowing alphanumeric
-PB         hyphen and PB characters
>5          invocation code, select subset character code C, all numeric again
00000658    numeric value
-----------------------
^XA

^BY4,3,91
^FT26,190^BCN,,Y,N
^FD211212-PB00000658^FS

^BY4,3,91
^FT26,390^BCN,,Y,N
^FH^FD>;211212>6-PB>500000658^FS

^XZ
>;211212>6-PB>500000658

>;          start code C (all numeric)
211212      numeric value
>6          invocation code, select subset character code B, allowing alphanumeric
-PB         hyphen and PB characters
>5          invocation code, select subset character code C, all numeric again
00000658    numeric value

How to open links in footer with selenium

copy iconCopydownload iconDownload
require 'watir'
b=Watir::Browser.new

b.goto 'https://byjus.com/'
b.elements(xpath: "//div[@class='row footer-align footer-mobile-res']//div[1]//ul[1]//a").each do |a|
  p a.text
end
b.elements(xpath: "//div[@class='row footer-align footer-mobile-res']//div[1]//ul[1]//a").each do |a|
  a.click(:control, :enter)
end
"CBSE"
"ICSE"
"CAT"
"IAS"
"JEE"
"NEET"
"Commerce"
"JEE Main"
"NCERT"
"JEE Advanced"
"IAS Coaching"
"CBSE Sample Papers"
"CBSE Question Papers"
-----------------------
require 'watir'
b=Watir::Browser.new

b.goto 'https://byjus.com/'
b.elements(xpath: "//div[@class='row footer-align footer-mobile-res']//div[1]//ul[1]//a").each do |a|
  p a.text
end
b.elements(xpath: "//div[@class='row footer-align footer-mobile-res']//div[1]//ul[1]//a").each do |a|
  a.click(:control, :enter)
end
"CBSE"
"ICSE"
"CAT"
"IAS"
"JEE"
"NEET"
"Commerce"
"JEE Main"
"NCERT"
"JEE Advanced"
"IAS Coaching"
"CBSE Sample Papers"
"CBSE Question Papers"
-----------------------
require 'watir'
b=Watir::Browser.new

b.goto 'https://byjus.com/'
b.elements(xpath: "//div[@class='row footer-align footer-mobile-res']//div[1]//ul[1]//a").each do |a|
  p a.text
end
b.elements(xpath: "//div[@class='row footer-align footer-mobile-res']//div[1]//ul[1]//a").each do |a|
  a.click(:control, :enter)
end
"CBSE"
"ICSE"
"CAT"
"IAS"
"JEE"
"NEET"
"Commerce"
"JEE Main"
"NCERT"
"JEE Advanced"
"IAS Coaching"
"CBSE Sample Papers"
"CBSE Question Papers"
-----------------------
driver.get("https://www.amazon.in/");
WebElement footerDriver = driver.findElement(By.xpath("//div[@class='navFooterVerticalRow navAccessibility']"));
footerDriver.findElement(By.xpath(".//a[text()='About Us']")).click();
-----------------------
By contactUsLink = By.xpath("//a[text()='Contact Us']");
JavascriptExecutor js = (JavascriptExecutor) driver;
js.executeScript("arguments[0].scrollIntoView(true);", 
driver.findElement(contactUsLink));
log.info("Scrolling down");
driver.findElement(contactUsLink).click();
-----------------------
package WebApps;

import java.util.concurrent.TimeUnit;

import org.openqa.selenium.By;
import org.openqa.selenium.Keys;
import org.openqa.selenium.WebDriver;
import org.openqa.selenium.WebElement;
import org.openqa.selenium.chrome.ChromeDriver;

public class mmt {

    public static void main(String[] args) throws InterruptedException {
        // TODO Auto-generated method stub

        System.setProperty("webdriver.chrome.driver", "D:\\QA Workspace\\Browser Drivers\\chromedriver.exe");
        WebDriver driver = new ChromeDriver();
        driver.manage().timeouts().implicitlyWait(5, TimeUnit.SECONDS);
        driver.get("https://byjus.com/");
        WebElement footerDriver = driver
                .findElement(By.cssSelector("div[class='row footer-align footer-mobile-res']" + "> div:nth-child(1)")); 
                                                                                                                        
                                                                                                                        
        footerDriver.findElement(By.xpath("//div[1]/ul[1]"));
        int links = footerDriver.findElements(By.tagName("a")).size();

        for (int i = 0; i < links; i++) {
            String linksToOpen = Keys.chord(Keys.CONTROL, Keys.ENTER); //
            System.out.println(footerDriver.findElements(By.tagName("a")).get(i).getText()); // //
            System.out.println(footerDriver.findElements(By.tagName("li")).get(i).getText()); //
            footerDriver.findElements(By.tagName("a")).get(i).sendKeys(linksToOpen);
        }

//        Amazon.in facing problem here too

        System.setProperty("webdriver.chrome.driver", "D:\\QA Workspace\\Browser Drivers\\chromedriver.exe");
        WebDriver driver = new ChromeDriver();
        driver.manage().timeouts().implicitlyWait(5, TimeUnit.SECONDS);
        driver.get("https://www.amazon.in/");
//        div.makeFlex.appendBottom40.footerLinks 
        WebElement footerDriver = driver
                .findElement(By.cssSelector("div[class='navFooterVerticalRow navAccessibility'] > div:nth-child(1)"));
        int links = footerDriver.findElements(By.tagName("a")).size();
//        
        for (int i = 0; i < links; i++) {
            String linksToOpen = Keys.chord(Keys.CONTROL, Keys.ENTER);
            footerDriver.findElements(By.tagName("a")).get(i).sendKeys(linksToOpen);
        }

    }
}

The openmp matrix multiplication

copy iconCopydownload iconDownload
subroutine multi(m1,m2,m3)
double precision,dimension(0:8,0:8)::m1,m2,m3
double precision,dimension(0:80)::mm1,mm2
DOUBLE PRECISION::TEMP
integer::i,j,k
!$OMP PARALLEL
    !$OMP DO
    do j=0,8
        do i=0,8
            mm1(j*9+i)=m1(i,j)
            mm2(i*9+j)=m2(i,j)
        enddo
    enddo
    !$OMP ENDDO
    !$OMP DO PRIVATE(TEMP,I,J,K)
    do j=0,8
        do i=0,8
            temp=0
            do k=0,8
                temp=temp+mm1(j*9+k)*mm2(i*9+k)
            enddo
            m3(i,j)=temp
        enddo
    enddo
    !$OMP ENDDO
!$OMP END PARALLEL
return
subroutine multi(m1,m2,m3)
double precision,dimension(0:8,0:8)::m1,m2,m3
DOUBLE PRECISION::TEMP
integer::i,j,k
!$OMP PARALLEL
    !$OMP DO PRIVATE(TEMP,I,J,K)
    do j=0,8
        do i=0,8
            temp=0
            do k=0,8
                temp=temp+m1(k,j)*m2(i,k)
            enddo
            m3(i,j)=temp
        enddo
    enddo
    !$OMP ENDDO
!$OMP END PARALLEL
return
-----------------------
subroutine multi(m1,m2,m3)
double precision,dimension(0:8,0:8)::m1,m2,m3
double precision,dimension(0:80)::mm1,mm2
DOUBLE PRECISION::TEMP
integer::i,j,k
!$OMP PARALLEL
    !$OMP DO
    do j=0,8
        do i=0,8
            mm1(j*9+i)=m1(i,j)
            mm2(i*9+j)=m2(i,j)
        enddo
    enddo
    !$OMP ENDDO
    !$OMP DO PRIVATE(TEMP,I,J,K)
    do j=0,8
        do i=0,8
            temp=0
            do k=0,8
                temp=temp+mm1(j*9+k)*mm2(i*9+k)
            enddo
            m3(i,j)=temp
        enddo
    enddo
    !$OMP ENDDO
!$OMP END PARALLEL
return
subroutine multi(m1,m2,m3)
double precision,dimension(0:8,0:8)::m1,m2,m3
DOUBLE PRECISION::TEMP
integer::i,j,k
!$OMP PARALLEL
    !$OMP DO PRIVATE(TEMP,I,J,K)
    do j=0,8
        do i=0,8
            temp=0
            do k=0,8
                temp=temp+m1(k,j)*m2(i,k)
            enddo
            m3(i,j)=temp
        enddo
    enddo
    !$OMP ENDDO
!$OMP END PARALLEL
return

PowerShell ForEach-Object and Pipelining - upstream

copy iconCopydownload iconDownload
(dir) | ForEach-Object { 7z a -tzip -mmt=32 $_.BaseName $_.Name }

Community Discussions

Trending Discussions on mmt
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  • Generics of Generic types
  • how to add new row into each group of groupby in PANDAS , one of the value of that row is sum of values of each groups
  • ZPL code logic and barcodes which contain - symbol
  • How to open links in footer with selenium
  • The openmp matrix multiplication
  • PowerShell ForEach-Object and Pipelining - upstream
Trending Discussions on mmt

QUESTION

Printing on two labels at the same time with ZPL

Asked 2022-Mar-23 at 16:31

I have a roll of labels that are 5,1cm x 1,6cm (two per row) and I need to print two different labels on each row (expected result), but the print command of the ZPL format only prints one label and feeds the next, leaving the adjacent label blank.

This is the ZPL code that I have:

^XA
~TA000
~JSN
^LT0
^MNW
^MTT
^PON
^PMN
^LH0,0
^JMA
^PR8,8
~SD15
^JUS
^LRN
^CI27
^PA0,1,1,0
^XZ
^XA
^MMT
^PW871
^LL152
^LS0
^BY2,3,60^FT23,73^B3N,N,,N,N
^FDId_bono^FS
^FT90,120^A0N,47,46^FB220,1,12,C^FH\^CI28^FDId_bono^FS^CI27
^PQ1,,,Y
^XZ

I believe that I need to add in this label a shift to print side by side label-1 and label-2 and print two at I time, but I cannot figure out how to add a side-shift in the label.

ANSWER

Answered 2021-Sep-10 at 14:01

You have to print both labels as a single format, using ^LH to shift the second label to the right the appropriate number of dots. Basically, something like:

^XA
^LH0,0
... left label here ...
^LHnnn,0
... right label here ...
^LH0,0
^XZ

The first and third ^LH commands reset the home position. The second ^LH shifts it to the right nnn dots.

Source https://stackoverflow.com/questions/69132939

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mmt

You can download it from GitHub.
You can use mmt like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mmt component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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