semvec/pypi-packages huggingface dataset:
milwaukee-dpw-parser 0.1.1
Milwaukee Wisconsin Department of Public Works Parser
License: MIT
Requires Python: >=3
Keywords: Milwaukee,Wisconsin,Garbage,Recycling,DPW

# Milwaukee, Wisconsin Department of Public Works Parser

Gets the next upcoming trash and recycling date for an address in Milwaukee, WI. 

### Installation

`pip install milwaukee-dpw-parser`

### Run

```
from milwaukee_dpw_parser import get_next_garbage_and_recycling_dates
garbage_date, recycling_date = await get_next_garbage_and_recycling_dates('1011', 'E', 'BRADY', 'ST')
print(garbage_date)
print(recycling_date)
```

```
2022-01-11
2022-01-19
```
Pmdr 1.0.7
CLI Pomodoro Timer
License: MIT
Requires Python: >=3.7

Pmdr - CLI pomodoro timer.

The following command:

```
pmdr start
```

Will give you a classic Pomodoro timer with 4 Pomodoros(25min of Focus followed by a 5 min break), and after 4, you shall get a Longer break of 30min.

With the following command:

```cmd
pmdr start -bs --breaks
```

You can set the number of long breaks needed to complete your tasks!

The following Command:

```cmd
pmdr custom
```

Can be used to build out your own timer how you see fit.
The following flags can be used to build your own custom pomodoro timer setup.

```python
-f --focus # Focus time, default 25min
-s --short # Break time after every Focus time, default 5min
-l --long # Long break, default 25min
-bs --breaks # Number of long breaks to take, default 4
```

Pmdr also comes with a few quick timers for ease of use:

```python
pmdr hour # minute timer

pmdr half # 30 minute timer
```

You can also set a custom timer with the following command:

```cmd
pmdr timer -m --minutes
```

Create your own CLI tools: [Tutorial](https://medium.com/nerd-for-tech/how-to-build-and-distribute-a-cli-tool-with-python-537ae41d9d78)
googlescrape 1.0.0
This is a python api to scrape search results from a url.
License: MIT
Keywords: googlescrape

# googlescrape

## Installation

Installation is simple!

```python
# Stable version

pip install googlescrape
```

## Examples

```python

from googlescrape import client
scrapeClient=client()
scrapeClient.imagesearch("Oracle","capture.png")
#saves the screenshot in capture.png
```

```python

from googlescrape import client
scrapeClient=client()
scrapeClient.jsonsearch("Oracle")
#outputs a json
```


Change Log
==========

1.0.0 (08/01/2022)
-------------------
- Tenth release , headless mode added!
visrl 0.1.7
A simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment.
License: MIT

# Visrl
Visrl (pronounced "visceral") is a simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment.

![](assets/demo.png)

Reinforcement learning requires a lot of overhead code to inspect an agent's behaviour visually, typically through `env.render()`. Visrl allows users to easily intervene and switch between agent control and human control, and allows inserting a breakpoint in the game state to pause only at a relevant state of interest.

## Features
- Set action hotkeys
- Human intervention: Take actions 1 step at a time
- Agent control: Return control to the agent
- Speed up/ slow down frame rate
- Visualise relevant values across history
- Breakpoint: Run until a condition involving values is fulfilled
- Playback: Show past frames and ations
- Record: Record a .mp4, .gif or download a .csv of the history.

## Install
```python
pip install visrl
```

## Usage
```python
import gym
from stable_baselines3 import DQN
from visrl import Visrl

env = gym.make('LunarLander-v2')
agent = DQN('MlpPolicy', env, verbose=1)
agent.learn(total_timesteps=int(2e5))

Visrl(env, agent).run()
```
cornershop 0.1.0
A Python wrapper for Cornershop by Uber's API.
License: MIT
Keywords: python,api,wrapper,uber,delivery,cornershop

# The Unofficial Python wrapper for Cornershop by Uber's API

Cornershop is a grocery delivery service owned by Uber.

This API allows the user to search for all available stores near a given zip code.

Please, check their official website at: https://cornershopapp.com/

## Instalation

- `pip install cornershop`

## Dependencies

- Python 3.6 or higher
- requests

## License

- [MIT](LICENSE)

Even though this is just a wrapper, use it with caution, since the data fetched is Uber's property.

## Getting Started

First, import and instanciate the Cornershop API model using your zip code as locality.

```python
>>> from cornershop import Cornershop

>>> cs = Cornershop(
...     locality = '00000000',
...     country = 'BR'
... )
```

Then, call the following methods to fetch data from branches near your locality.

```python
>>> cs.search_branches(query='...')
>>> cs.search_branch(branch_id='00000', query='...')
>>> cs.search_branch_group()
>>> cs.search_countries()
```

Set the `json_format` argument as `True` to return a json-style dictionaty instead of a `cornershop` model.

```python
>>> cs = Cornershop(
...     locality = '00000000',
...     country = 'BR',
...     json_format = True
... )
```

Check the [examples folder](examples) for more details about [working with methods](https://github.com/GusFurtado/cornershop/blob/main/examples/Working%20with%20Cornershop%20methods.ipynb) and [working with models](https://github.com/GusFurtado/cornershop/blob/main/examples/Working%20with%20Cornershop%20models.ipynb).