business | : date : DateTime calculations in business hours | Date Time Utils library
kandi X-RAY | business Summary
kandi X-RAY | business Summary
DateTime calculations in business hours.
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Top functions reviewed by kandi - BETA
- Generates a range of dates .
- Returns the closest business date after the given date .
- Sets the opening intervals .
- Evaluates the opening intervals .
- Add multiple holidays
- Return an array representing a day .
- Sets the day of week .
- Returns whether this time is after or not .
- Get an iterator for all dates .
- Get date hash
business Key Features
business Examples and Code Snippets
Lines of Code : 9License : Permissive (MIT License)
Copyprivate static void businessExample(String cardNumber) {
try {
System.out.println("Trying to create CreditCard object from valid card number: " + cardNumber);
CreditCard creditCard = CreditCard.fromString(cardNumber);
Community Discussions
Trending Discussions on business
QUESTION
looking for a quick solution to pick up the text following a numeric value that looks like this:
text to extract
...ANSWER
Answered 2021-Jun-04 at 07:28We can use re.findall here as follows:
QUESTION
The minimal reproducible code below aims to have a loading icon when a button is pressed(to simulate loading when asynchronous computation happen).
For some reason, the Consumer Provider doesn't rebuild the widget when during the callback.
My view:
...ANSWER
Answered 2021-Jun-15 at 17:51did you try to await the future? 🤔
QUESTION
I'm using bert pre-trained model for question and answering. It's returning correct result but with lot of spaces between the text
The code is below :
...ANSWER
Answered 2021-Jun-15 at 17:14You can just use the tokenizer decode function:
QUESTION
I have a dataset with the name of Danish ministers and their position from 1990 to 2020 (data comes from dataset called WhoGovern; https://politicscentre.nuffield.ox.ac.uk/whogov-dataset/). The dataset consists of the ministers name, the ministers position, the prestige of that position, and the year in which the minister had that given position.
My problem is that some ministers are counted twice in the same year (i.e., the rows aren't unique in terms of name and year). See the example in the picture below, where "Bertel Haarder" was both Minister of Health and Minister of Interior Affairs in 2010 and 2021.
I want to create a dataset, where all the rows are unique combinations of name and year. However, I do not want to remove any information from the dataset. Instead, I want to use the information in the prestige column to combine the duplicated rows into one. The observations with the highest prestige should be the main observations, where the other information should be added in a new column, e.g., position2 and prestige2. In the example with Bertel Haarder the data should look like this:
(PS: Sorry for bad presenting of the tables, but didn't know how to create a nice looking table...)
Here's the dataset for creating a reproducible example with observations from 2010-2020:
...ANSWER
Answered 2021-Jun-08 at 14:04Reshape the data to wide format twice, once for position and the other for prestige_1, and join the two results.
QUESTION
I am trying to use JOOQ code generation from JPA Entity. I have already created a dedicated maven module where the code will be generated which has dependency on a module containing all entities as well code generation plugin with of jooq.
To add more clarify on project structure, here are the modules:(The names are made up but the structure reflects the current project i am working on)
...ANSWER
Answered 2021-Jun-02 at 07:53I'm assuming you have missing dependencies on your code generation class path. Once you update your question, I'll update my answer.
Regarding jOOQ code generation support for@TypeDef etc.
jOOQ won't support your generated composite types in generated code out of the box, you'll still have to add forced type configurations for that, possibly embeddable type configurations:
- https://www.jooq.org/doc/latest/manual/code-generation/codegen-advanced/codegen-config-database/codegen-database-forced-types/
- https://www.jooq.org/doc/latest/manual/code-generation/codegen-embeddable-types/
Note that the JPADatabase offers a quick win by integrating with simple JPA defined schemas very quickly. It has its caveats. For best results, I recommend going DDL first (and generate both jOOQ code and JPA model from that), because it will be much easier to put your schema change management under version control, e.g. via Flyway or Liquibase.
QUESTION
So, I am working on an MVVM-based core SDK for use any time I am developing some Google Apps Script based software, called OpenSourceSDK. It contain core business logic, including base classes to extend. For example, the file Models/BaseModel.gs in it is defined to be:
ANSWER
Answered 2021-Jun-13 at 22:53I was able to get it resolved, but the solution is...hacky.
So, apparently, Google Apps Script exports only what is in globalThis of a project: just the functions and variables. No classes, no constants, ...
Probably has a lot to do with how ES6 works, with its globalThis behavior. One can see that in action, by creating a dummy function, a dummy variable, and a dummy class in their local developer console:
QUESTION
I am new to AWS VPC and exploring everything about it. I understood that VPC is majorly used to have a secure and isolated environment. What are the different use cases for AWS VPC in the area of Data Analytics? I have a data lake pipeline currently which is as follows:
- Extract data using APIs
- Store raw data in S3
- Create Lambda functions or Glue Jobs to perform business metrics
- Store metric outputs in S3
- Create tables in Athena for all the data stored in S3
- Import tables in Quicksight to produce business insights from visuals
In this process how can VPC be used or make this process efficient/better?
...ANSWER
Answered 2021-Jun-15 at 07:40The services you mention (mostly) live outside of VPCs.
VPCs are used for services that use virtual computers, such as Amazon EC2 computers and Amazon RDS databases.
By using services that don't involve specific 'computers' (such as Amazon S3, Athena, QuickSight) you can take advantage of much lower costs, paying only what you use. These services do not mimic traditional servers and therefore don't need VPCs. All the networking complexity is hidden and you can concentrate on using the service instead of running a network.
Yes, VPCs add extra security, but that's only because resources on a VPC need securing due to potential security holes. The services you mention are all secured via IAM and do not expose themselves outside the published APIs.
QUESTION
I developed an app in german (de-DE) and in order to translate the captions, I added the TranslationFile feature in my app.json.
This generates a translation file, where the source-language is "en-US":
Not thinking much about it, I changed the source-language to "de-DE" since my captions are in german and I want them to be translated to english.
Hence:
The problem that I now have, is that when I publish my extension and switch between english and german as my language in business central, all I get are the english captions.
...ANSWER
Answered 2021-Jun-15 at 06:38The source language will always be "en-US" meaning translations will be from English (United States) to some other language.
The captions in your source code thus needs to be in English (United States) and then you add the translation file for the german language.
QUESTION
I want to filter a TableA, taking into account only those rows whose "TotalInvoice" field is within the minimum and maximum values expressed in a ViewB, based on month and year values and RepairShopId (the sample data only has one RepairShopId, but all the data has multiple IDs).
In the view I have minimum and maximum values for each business and each month and year.
TableA
RepairOrderDataId RepairShopId LastUpdated TotalInvoice 1 10 2017-06-01 07:00:00.000 765 1 10 2017-06-05 12:15:00.000 765 2 10 2017-02-25 13:00:00.000 400 3 10 2017-10-19 12:15:00.000 295679 4 10 2016-11-29 11:00:00.000 133409.41 5 10 2016-10-28 12:30:00.000 127769 6 10 2016-11-25 16:15:00.000 122400 7 10 2016-10-18 11:15:00.000 1950 8 10 2016-11-07 16:45:00.000 79342.7 9 10 2016-11-25 19:15:00.000 1950 10 10 2016-12-09 14:00:00.000 111559 11 10 2016-11-28 10:30:00.000 106333 12 10 2016-12-13 18:00:00.000 23847.4 13 10 2016-11-01 17:00:00.000 22782.9 14 10 2016-10-07 15:30:00.000 NULL 15 10 2017-01-06 15:30:00.000 138958 16 10 2017-01-31 13:00:00.000 244484 17 10 2016-12-05 09:30:00.000 180236 18 10 2017-02-14 18:30:00.000 92752.6 19 10 2016-10-05 08:30:00.000 161952 20 10 2016-10-05 08:30:00.000 8713.08ViewB
RepairShopId Orders Average MinimumValue MaximumValue year month yearMonth 10 1 370343 370343 370343 2015 7 2015-7 10 1 109645 109645 109645 2015 10 2015-10 10 1 148487 148487 148487 2015 12 2015-12 10 1 133409.41 133409.41 133409.41 2016 3 2016-3 10 1 19261 19261 19261 2016 8 2016-8 10 4 10477.3575 2656.65644879821 18298.0585512018 2016 9 2016-9 10 69 15047.709565 10 90942.6052417394 2016 10 2016-10 10 98 22312.077244 10 147265.581935242 2016 11 2016-11 10 96 20068.147395 10 99974.1750708773 2016 12 2016-12 10 86 25334.053372 10 184186.985160105 2017 1 2017-1 10 69 21410.63855 10 153417.00126689 2017 2 2017-2 10 100 13009.797 10 59002.3589332934 2017 3 2017-3 10 101 11746.191287 10 71405.3391452842 2017 4 2017-4 10 123 11143.49756 10 55306.8202091131 2017 5 2017-5 10 197 15980.55406 10 204538.144334771 2017 6 2017-6 10 99 10852.496969 10 63283.9899761938 2017 7 2017-7 10 131 52601.981526 10 1314998.61355187 2017 8 2017-8 10 124 10983.221854 10 59444.0535811233 2017 9 2017-9 10 115 12467.148434 10 72996.6054527277 2017 10 2017-10 10 123 14843.379593 10 129673.931373139 2017 11 2017-11 10 111 8535.455945 10 50328.1495501884 2017 12 2017-12I've tried:
...ANSWER
Answered 2021-Jun-15 at 03:49here is how you can do it: I assumed LastUpdated column is the column from tableA which indicate date of
QUESTION
I grouped a dataframe test_df2 by frequency 'B' (by business day, so each name of the group is the date of that day at 00:00) and am now looping over the groups to calculate timestamp differences and save them in the dict grouped_bins. The data in the original dataframe and the groups looks like this:
What I want is to calculate the difference between each row's timestamp, for example of rows 7 and 0, since they have the same externalId.
What I did for that purpose is the following.
...ANSWER
Answered 2021-Jun-14 at 22:22To convert your timestamp strings to a datetime object:
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PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.
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