alice | Expressive fixtures generator | Web Framework library

by nelmio PHP Version: 3.12.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | alice Summary

alice is a PHP library typically used in Server, Web Framework, Symfony applications. alice has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Relying on FakerPHP/Faker, Alice allows you to create a ton of fixtures/fake data for use while developing or testing your project. It gives you a few essential tools to make it very easy to generate complex data with constraints in a readable and easy to edit way, so that everyone on your team can tweak the fixtures if needed.

Support

Quality

Security

License

Reuse

Support

alice has a medium active ecosystem.

It has 2423 star(s) with 344 fork(s). There are 55 watchers for this library.

It had no major release in the last 12 months.

There are 44 open issues and 452 have been closed. On average issues are closed in 181 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of alice is 3.12.2

Quality

alice has 0 bugs and 0 code smells.

Security

alice has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

alice code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

alice is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

alice releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Get the Faker configuration tree builder .
Builds the DI container .
Resolve the supplied fixture .
Denormalizes a fixture set .
Resolve extended fixtures .
Build a tree from the given value .
Checks if two values are identical .
Hydrate a fixture set .
Denormalizes a fixture .
Resolve arguments .

Get all kandi verified functions for this library.

alice Key Features

No Key Features are available at this moment for alice.

alice Examples and Code Snippets

No Code Snippets are available at this moment for alice.

Community Discussions

Trending Discussions on alice

Writing a SQL request with a CTE and counting its rows

Use zipTree as source set for building and static compiling

Turning vectors of strings in a dataframe into categorical variables in R

How to log production database changes made via the Django shell

How do you efficiently search across a group of lists in Python?

Order ElasticSearch results by percentage of nested field matches

pandas - show N highest counts in a group-by dataframe

Mapping values from a dictionary's list to a string in Python

Use recode to mutate across multiple columns using named list of named vectors

In place change or overwrite dataframe?

QUESTION

Writing a SQL request with a CTE and counting its rows

Asked 2022-Feb-23 at 12:46

I have two tables: Contacts and Messages. I'd like to fetch a Chat structure that doesn't belong to any table (in other words: there's no Chats table I just want to build a query) This query should contain:

A contact I'm referring to in that chat
A lastMessage between me and that contact (If I don't have a last message w/ that contact - I should get no result from that contact specifically)
unreadCount that tells how many messages inside that conversation are not read yet.

My tables are:

Contacts

uniqueId (Blob)
username (Text)

Messages

isRead (Bool)
sender (Blob)
receiver (Blob)
timestamp (Integer)

The farthest I got was this:

...

ANSWER

Answered 2022-Feb-16 at 18:08

I think this has all you want in it ... EDIT: First pass missed Unread count!

Source https://stackoverflow.com/questions/71057079

QUESTION

Use zipTree as source set for building and static compiling

Asked 2022-Feb-09 at 20:55

Background

Project Alice generates Java source code, stores it in sources.jar, then uploads it to a Maven repository. Project Bob pulls sources.jar down and needs to use it when compiling. Bob does not know that Alice exists, only where to find sources.jar.

Versions: JDK 11, Gradle 7.3.1, IntelliJ IDEA 2021.3.1

Problem

Making gradle (and IntelliJ's IDEA) build using source files embedded in a JAR file. To be clear, the JAR file contents resemble:

...

ANSWER

Answered 2022-Feb-07 at 22:28

Working Solution

I first believed it wasn’t possible to use a JAR file containing uncompiled Java code as additional sources in IntelliJ. After a few tries I could eventually configure it in the UI, though, thanks to the pointer from your “Content Root” section. A bit of fiddling with the IDEA plugin later, I could finally come up with a fully working solution:

Source https://stackoverflow.com/questions/70976694

QUESTION

Turning vectors of strings in a dataframe into categorical variables in R

Asked 2022-Feb-06 at 18:54

I'm fairly new to R and am sure there's a way to do the following without using loops, which I'm more familiar with.

Take the following example where you have a bunch of names and fruits each person likes:

...

ANSWER

Answered 2022-Feb-06 at 17:53

df %>%
  unnest(everything()) %>%
  xtabs(~., .) %>%
  as.data.frame.matrix() %>%
  rownames_to_column('name')

   name apple banana pear
1 Alice     1      0    1
2   Bob     1      1    0

Source https://stackoverflow.com/questions/71009924

QUESTION

How to log production database changes made via the Django shell

Asked 2022-Jan-27 at 17:42

I would like to automatically generate some sort of log of all the database changes that are made via the Django shell in the production environment.

We use schema and data migration scripts to alter the production database and they are version controlled. Therefore if we introduce a bug, it's easy to track it back. But if a developer in the team changes the database via the Django shell which then introduces an issue, at the moment we can only hope that they remember what they did or/and we can find their commands in the Python shell history.

Example. Let's imagine that the following code was executed by a developer in the team via the Python shell:

...

ANSWER

Answered 2022-Jan-19 at 09:20

You could use django's receiver annotation.

For example, if you want to detect any call of the save method, you could do:

Source https://stackoverflow.com/questions/70658151

QUESTION

How do you efficiently search across a group of lists in Python?

Asked 2022-Jan-10 at 09:51

In Python I have a group of lists that track information about some users:

...

ANSWER

Answered 2022-Jan-09 at 22:13

# Dict for holding your data
data = dict()
    
# Put all your stuff into data 
for id, name, email in zip( user_id, user_name , user_email):
    data[ id ] = { "id": id , "username" : name , "email" : email }

# Function for lookup up by key and value 
def lookup_info( key_name , lookup_value , data ):
    '''
    Takes a key name, a lookup value and a dictionary of data.

    Returns the dictionary item
    '''
    for k,v in data.items():
        
        if v[ key_name ] == lookup_value:
            return( data[ k ] )

Source https://stackoverflow.com/questions/70645843

QUESTION

Order ElasticSearch results by percentage of nested field matches

Asked 2022-Jan-01 at 15:54

I would like to order ElasticSearch query results based on the percentage of matches for a nested field.

For example, let's suppose I have an ElasticSearch index strucutured as follows:

...

ANSWER

Answered 2022-Jan-01 at 15:54

script_score seems to do the job:

Source https://stackoverflow.com/questions/70533672

QUESTION

pandas - show N highest counts in a group-by dataframe

Asked 2021-Dec-23 at 13:47

Here is my input DataFrame

...

ANSWER

Answered 2021-Dec-23 at 13:13

Your first groupby was correct, after that you want to sort your values based on State and Count.

Then you group again solely on the state and fetch the head(2). If you want, you can (re)set your index to State and City.

Source https://stackoverflow.com/questions/70462533

QUESTION

Mapping values from a dictionary's list to a string in Python

Asked 2021-Dec-21 at 16:45

I am working on some sentence formation like this:

...

ANSWER

Answered 2021-Dec-12 at 17:53

You can first replace the dictionary keys in sentence to {} so that you can easily format a string in loop. Then you can use itertools.product to create the Cartesian product of dictionary.values(), so you can simply loop over it to create your desired sentences.

Source https://stackoverflow.com/questions/70325758

QUESTION

Use recode to mutate across multiple columns using named list of named vectors

Asked 2021-Dec-19 at 17:00

I couldn't find a question similar to the one that I have here. I have a very large named list of named vectors that match column names in a dataframe. I would like to use the list of named vectors to replace values in the dataframe columns that match each list element's name. That is, the name of the vector in the list matches the name of the dataframe column and the key-value pair in each vector element will be used to recode the column.

Reprex below:

...

ANSWER

Answered 2021-Dec-13 at 04:44

One work around would be to use your map2_dfr code, but then bind the columns that are needed to the map2_dfr output. Though you still have to drop the names column.

Source https://stackoverflow.com/questions/70329687

QUESTION

In place change or overwrite dataframe?

Asked 2021-Dec-18 at 19:13

I'm working on a pipeline of manipulations on a pandas dataframe in class, and I'm wondering what the good steps are for concatenating some procedures one after the other - should I copy and recreate the original dataframe, or just change it in place?

According to the pandas documentation, working with views is not always recommended, and I'm not sure if this is the case here.

For example:

...

ANSWER

Answered 2021-Dec-13 at 11:58

Actually, both of your implementations (the three of them) are mutating your class's df in-place and thus are practically equivalent in matters of their effect on the class. The difference is that in the first and second implementations, after mutating in-place you are returning the mutated df. In the first implementation assigning it to different class attributes (aliases as you call them) and in the second implementation assigning it to itself (which has no effect).

So, if any, the third implementation is the more valid one.

Nonetheless, in case you want to achieve a more functional syntax, which one can say is the pandas way "for concatenating some procedures one after the other" as you stated, you can use functions instead of methods and pass the self.df to them as a parameter. Then you can assign the results to new columns in your self.df.

For example:

Source https://stackoverflow.com/questions/70291799

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