semvec/pypi-packages huggingface dataset:
error-cat 0.5
A fun way to display python errors
Requires Python: >=2.6

# error_cat

### A fun way to display python errors.


Do you find long python error tracebacks annoying? Personally, they make me painfully aware of the fact that I don't know what I'm doing. And while that is certainly the case, sometimes I'd like that news to be delivered to me in a nicer way. For that, there is `error_cat`.

### Installation

```pip install error_cat```

### Usage

```error_cat python <name of your favorite python script>.py```

If `<name of your favorite python script>.py` runs successfully, you will see a fun, reassuring message from `error_cat`:

```
                ________________________
               /                        \
               |   Everything worked!   |
               \  ______________________/
              /  /
 ,_     _    / /
 |\\_,-~/   /'
 / _  _ |    ,--.
(  @  @ )   / ,-'
 \  _T_/-._( (
 /         `. \
|         _  \ |
 \ \ ,  /      |
  || |-_\__   /
 ((_/`(____,-'

```

On the other hand, if `<name of your favorite python script>.py` produces an error, `error_cat` will break the news to you. Here is an example script that will lead to an error:

`fake_error.py`

```python
def func():
	func2()

def func2():
	print(5 + "5")

func()
```

Here is what `error_cat` will tell you:

```
$ error_cat python fake_error.py

                _________________________________________________________________
               /                                                                 \
               |   File "fake_error.py", line 5, in func2                        |
               |   TypeError: unsupported operand types for +: 'int' and 'str'   |
               \  _______________________________________________________________/
              /  /
 ,_     _    / /
 |\\_,-~/   /'
 / _  _ |    ,--.
(  @  @ )   / ,-'
 \  _T_/-._( (
 /         `. \
|         _  \ |
 \ \ ,  /      |
  || |-_\__   /
 ((_/`(____,-'
 ```

## Artwork Credit

All ascii artwork is from the [ASCII Art Archive](https://www.asciiart.eu/). Individual artworks are credited to the artist (if known) in the comments of `error_cat/characters.py`. A big thank you to the following artists whose art has been incorporated into `error_cat`:

- Morfina
- Joan G. Stark
lilfilter 0.0.1
Utilities for filtering and resampling signals
Requires Python: >=3.5
Keywords: resampling,audio

# filtering

Utilities for resampling and filtering audio data

This repository exports a Python package `lilfilter` containing certain
utilities for filtering and resampling audio data.


One quite-useful thing is class Resampler:
```
python3
>>> import lilfilter
>>> # ... let a be a Torch tensor of size (num_channels, num_samples)
>>> # that we want to downsample from 42.1kHz to 16kHz.  Note,
>>> # the sampling rates must be integers; only their ratio
>>> # matters.
>>> r = lilfilter.Resampler(42100, 16000, dtype=torch.float32)
>>> b = r.resample(a)
```

Another thing that's useful is class Multistreamer, which can turn a
signal into multiple parallel signals at a lower sampling rate, where
pairs of those signals represent the (real,complex) part of one
complex frequency band of the input.
```
>>> import lilfilter
>>> num_freq_bands = 8
>>> m = lilfilter.Multistreamer(num_freq_bands)
>>>
>>> # ... let a be a Torch tensor of size (num_channels, num_samples)
>>> # that we want to `demultiplex`.
>>>
>>> b = m.split(a)
>>> # now b is of size (num_channels, 2, num_freq_bands, num_samples/num_freq_bands)
>>> # (note: the dim of the last axis may be slightly different from that number).
>>> # You can in principle manipulate b somehow, e.g. do some kind of machine
>>> # learning with it, and then reconstruct to the original format:
>>>
>>> c = m.merge(b)
>>> # now c is of size (num_channels, 8*(num_samples/8)) and will be extremely
>>> # close to a.
```
punctual 1.1.0
Clean and simple dotfile management with a lot of flexibility
Requires Python: >=3.7,<4.0

punctual
========

``punctual`` is an uncomplicated dotfile manager that works on common Linux fundamentals and simplistic JSON configuration files.


Installation
------------


From `PyPi <https://pypi.org/project/punctual/>`_, with pip::

  pip install punctual

With this you will have an executable named ``pcl``.


Usage
-----

Main::

  $ pcl --help
  Usage: pcl [OPTIONS] COMMAND [ARGS]...

  Options:
    --help  Show this message and exit.

  Commands:
    delete
    install
    list

Install::

  $ pcl install --help
  Usage: pcl install [OPTIONS] PACKAGE_NAME

  Options:
    --force  Remove any existing files
    --help   Show this message and exit.


Documentation
-------------

`Available on ReadTheDocs! <https://punctual.readthedocs.io/>`_