semvec/pypi-packages huggingface dataset:
who-added-this-tag 0.0.1
A tool to research who added given OSM tags currently in use

Tool for tracking down who added specific tag.

Will work fine for tags used on a small scale.

As it will download objects with Overpass Turbo and then use editing API to retrieve old versions of each object, it is acceptable to be used only for tags that have few instances.

Do not try to run it for say `building=house`

But for investigating who added tag appearing 1017 times? Should be fine.

It can be useful to

- notify editors about tagging discussion
- easily track down who was adding specific tag which is unclear/dubious/problematic

# Package

```
import who_added_this_tag

config = {
    'key': 'related:wikipedia',
    'value': None, # may be None - in such case it looks for all values of key
    'area_identifier_key': None, # may be None, in such case search is worldwide, 'ISO3166-1' is a good identifier
    'area_identifier_value': 'PL', # ignored if area_identifier_key is None
    'list_all_edits': True,
    'list_all_edits_made_by_this_users': [], # ignored with list_all_edits set to True
}
who_added_this_tag.statistics.process_case(config)
```

# Run tests

```
python3 -m unittest
```
leanit-mweb 23.7.4
Web framework
Keywords: python,web


Lean IT Mweb Framework

write a python function which gets a html input. The function should return a Form objects. The Form objects represents data parsed from the html <form> tag. The following code should work:

```python
html = "<html>...</html>"
# Form.parse is a classmethod, stores the html in the form object, parses the action, method and inputs in the __init__ method and manages a data dict with the input values
form = Form.parse(html) 
# if multiple forms are in the html, you can use
# parse_forms(html, index=0) to get the first form
# or parse_forms(html, id="form_id") to get the form with the given id
# or parse_forms(html, name="form_name") to get the form with the given name

form.fill(name="foo") # fill the form with data, updates form.data dict

# submit the form and get the response
# uses e.g. client.get("/workspace/create-first", allow_redirects=False)
# or client.post("/workspace/create-first", allow_redirects=False)
# based on the method and action of the form
response = form.submit(client)
```

Do not use beatifulsoup or other html parsers. Use regex to parse the html.

----

I have a python program which has an init() method. While executing the init method I fetch the current module name:

```python
class App:
    def init(self):
        module_name = self.__module__ # "mium_frontend"
```

there is a mium_frontend.models.user module which contains a "User" class which inherits from a "Model" class.

write code which automatically imports all classes from the "models" package. The import should take place in the init() method of the App class. Handle situations where there is no models package (there are apps without models). Handle situations with multiple levels of packages under the models package (e.g. models.foo.bar.User). Create a list of all classes which inherit from the Model class. The list should contain the classes, not the strings with the class names.
tamr-toolbox 1.11.1
Tools for Tamr
Requires Python: >=3.6

# tamr-toolbox
The Tamr Toolbox is a Python library created to provide a simple interface for common interactions with Tamr and common data workflows that include Tamr. The more specialized [Tamr Python Client](https://github.com/Datatamer/tamr-client) library is used for direct interactions with Tamr in both the development of the Tamr Toolbox and in the recommended use of the Tamr Toolbox.


## Resources
__Releases:__ https://github.com/Datatamer/tamr-toolbox/releases 

__Documentation Home:__ https://datatamer.github.io/tamr-toolbox/latest/

__Installation:__ https://datatamer.github.io/tamr-toolbox/latest/installation.html

__Examples:__ https://datatamer.github.io/tamr-toolbox/latest/examples.html

## Community Contributions
Contributions to the Tamr Toolbox are currently limited to Tamr employees only. 
Tamr does not routinely review or merge community submitted pull requests.

If you are a community member that would like to report a bug or a feature request, you may 
file a Github issue in the tamr-toolbox repository.
django-lang-pref-middleware 1.3.0
Django middleware for setting the user's language preference at request time.

Django Language Preference Middleware
=====================================

This repo contains basic middleware that retrieves a user's language 
preference and sets it on the request session.

Usage
=====
Subclass `LanguagePreferenceMiddleware` and override the
`get_user_language_preference` method.

Your new middleware should be
tested by including `LangPrefMiddlewareTestCaseMixin` in your test case and
overriding the `middleware_class`, `get_user`, and 
`set_user_language_preference` attributes.

Testing
=======

    $ make validate


How to Contribute
-----------------

Contributions are very welcome, but for legal reasons, you must submit a signed
[individual contributor's agreement](http://code.edx.org/individual-contributor-agreement.pdf)
before we can accept your contribution. See our
[CONTRIBUTING](https://github.com/openedx/.github/blob/master/CONTRIBUTING.md)
file for more information -- it also contains guidelines for how to maintain
high code quality, which will make your contribution more likely to be accepted.
FIMProject 0.0.6
Frequent Itemset Mining and Frequent Sequence Mining Algorithms package for ARM
Requires Python: >=3.7
Keywords: FIM,Frequent Itemset Mining,Frequent Sequence Mining,Association Rule Mining,ARM

 # How to Install
```shell
pip install FIMProject
```
# How to Use It
```python
from FIM import apriori, association_rules

freq_items = apriori(df, min_support=0.6, show_colnames=True)
rules = association_rules(freq_items, metric="confidince", min_threshold=0.7)

```

# What is df?  

<p>
df is a pandas dataframe. It is a table of transactions. Each row is a transaction and each column is an item. The value of each cell is the number of items in the transaction.
</p>