semvec/pypi-packages huggingface dataset:
csv-processor 1.0.0
Python 3+ CSV file processor
License: MIT

# Python csv processor

The **csv-processor** is a python package that turns a csv into various formats.

It supports the following conversions:

- CSV - SQLite
- CSV - Json



# Installation
If not already [install pip](https://pip.pypa.io/en/stable/installing/)

Install the package with `pip` or `pip3`:

```bash
pip install csv-processor
```

# Usage
### Example:
```Python
from csvprocessor.csvtodb import Converter
csvfile = "path/to/your/file"
converter = Converter(csvfile)
converter.output() -> "db.db"
```
perf-timer 0.2.2
An indispensable performance timer for Python
License: MIT
Requires Python: >=3.7

PerfTimer is an instrumenting timer which provides an easy way to
get insight into call count and average execution time of a function
or piece of code during a real session of your program.

Use cases include:
  * check the effects of algorithm tweaks, new implementations, etc.
  * confirm the performance of a library you are considering under
  actual use by your app (as opposed to upstream's artificial
  benchmarks)
  * measure CPU overhead of networking or other asynchronous I/O
  (currently supported: OS threads, Trio async/await)
postman-collection-generation 1.0.0
postman collection generation
License: MIT

# postman collection generation

## Installation

You can install the Real Python Feed Reader from [PyPI](https://pypi.org/project/postman_collection_generation/):

    pip install postman_collection_generation

## How to use

You can call the function :

    >>> from postman_collection_generation import generate_collection
    >>> generate_collection(flask_app,name='collection file name',url_domain='localhost',port=5000,output_path = '.')
dataclass-dateproperty 1.0.0
Weekdays and datetime properties for the dataclass_property library.
License: MIT
Keywords: dataclasses dataclass property field_property weekdays datetime

======================
dataclass_dateproperty
======================

Weekdays and datetime properties for the dataclass_property library.


Examples
========

.. code-block:: python

    import time
    import datetime
    from dataclass_property import dataclass, field, fields
    from dataclass_dateproperty import datetime_property, time_property, date_property, Weekdays, weekdays_property

    now = datetime.datetime.now()
    time.sleep(0.1)

    @dataclass
    class Alarm:
        timer = datetime_property(default_factory=datetime.datetime.now)
        weekdays: Weekdays = field(default_factory=Weekdays(monday=True).copy)
        sunday: bool = weekdays_property('sunday')
        monday: bool = weekdays_property('monday')
        tuesday: bool = weekdays_property('tuesday')
        wednesday: bool = weekdays_property('wednesday')
        thursday: bool = weekdays_property('thursday')
        friday: bool = weekdays_property('friday')
        saturday: bool = weekdays_property('saturday')

    a = Alarm()
    fs = [f.name for f in fields(a)]
    assert 'timer' in fs, fs
    assert 'weekdays' in fs
    assert 'sunday' in fs
    assert 'monday' in fs
    assert 'tuesday' in fs
    assert 'wednesday' in fs
    assert 'thursday' in fs
    assert 'friday' in fs
    assert 'saturday' in fs

    assert a.timer > now
    assert a.weekdays.sunday is False
    assert a.weekdays.monday is True
    assert a.weekdays.tuesday is False
    assert a.sunday is False
    assert a.monday is True
    assert a.tuesday is False

    a = Alarm(timer=now, sunday=True)
    assert a.timer == now
    assert a.weekdays.sunday is True
    assert a.weekdays.monday is True
    assert a.weekdays.tuesday is False
    assert a.sunday is True
    assert a.monday is True
    assert a.tuesday is False