semvec/pypi-packages huggingface dataset:
BiasCorrection 0.0.3
Bias correction
License: MIT
Keywords: Bias correction,Linear scaling,Precipitation

This is a function to do bias correction of precipitation using linear scaling method only. Additionally, this function requires three input files to add it in the function. The first file, it is the observed precipitation data and set its following "https://www.youtube.com/watch?v=uEnTc5MK4uQ&t=29s".
The second file, it is the climate precipitation data. 
The third file, it is the datetime of precipitation. 

This package must work with numpy and pandas package, users should install all of them also. Thank you very much

Change log
==========

0.0.3 (10/13/2021)

- Third Release
IsDigit 0.0.10
Simple, mainly useless, python package that checks if a string, int, or float is a digit.
License: MIT
Requires Python: >=3.8.0
Keywords: python isdigit float int string

# Installing

## From source:
- `pip install git+https://github.com/editid0/IsDigit`

## From pypi:
- `pip install -U IsDigit`

<br />

# Examples
```python
from isdigit import IsDigit

digits = IsDigit(allow_floats=True, allow_ints=True)

print(digits.is_digit('1')) # returns True
print(digits.is_digit('1.0')) # returns True
print(digits.is_digit('1.0.0')) # returns False
print(digits.is_digit('x')) # returns False
```
Or, alternatively:
```python
from isdigit import IsDigit

digits = IsDigit()

print(digits.is_digit('1')) # returns True
print(digits.is_digit('1.0')) # returns False
print(digits.is_digit('1.0.0')) # returns False
print(digits.is_digit('x')) # returns False
```

# Using `discord.py` with IsDigit

<br />

## Install
<br />

### pip install
```
pip install -U IsDigit[discord]
```

### Install from repo
```
pip install git+https://github.com/editid0/IsDigit[discord]
```


## Basic Usage
##### Please do not use this code when making a bot. Read the `discord.py` [docs](http://discordpy.readthedocs.io/) instead.
###### This package is not affiliated with the `discord.py` library.
```python
from isdigit import IsDigit
from discord.ext import commands

bot = commands.Bot(command_prefix='prefix')
digits = IsDigit()

@bot.command()
async def test(ctx, arg: digits):
    await ctx.send(type(arg))

@test.error
async def test_error(ctx, error):
    await ctx.send(error)

bot.run('token')
```
Bias-correction-by-LS-for-precipitation 0.0.1
Bias correction for precipitation using linear scaling method
License: MIT
Keywords: Bias correction,Linear scaling,Precipitation

This is a function to do bias correction of precipitation using linear scaling method only. Additionally, this function requires three input files to add it in the function. The first file, it is the observed precipitation data and set its following "https://www.youtube.com/watch?v=uEnTc5MK4uQ&t=29s".
The second file, it is the climate precipitation data. 
The third file, it is the datetime of precipitation. 

This package must work with numpy and pandas package, users should install all of them also.

Change log
==========

0.0.1 (10/13/2021)

- First Release
vivarium-cell 0.1.5
A collection of models for simulating cells with Vivarium.
License: MIT

# vivarium-cell

**WARNING: This library has been deprecated. Please see https://vivarium-collective.github.io for alternatives.**

[vivarium-cell](https://github.com/vivarium-collective/vivarium-cell) is a library of configurable
 cell process and composites for vivarium projects.

![vivarium](doc/_static/lacY_transport.png)

# Installation
vivarium-cell can be used as a python library. To install:
```
$ pip install vivarium-cell
```

# Setup in local repository
Clone the repository, make a python environment, and install dependencies.

First install numpy:
```
$ pip install numpy
```

Then the remaining requirements:
```
$ pip install -r requirements.txt
```

# Run individual processes and composites
Each process file under `cell/processes` can run on its own. Some of these have their own command line options.
For example, call the `convenience_kinetics` process with:
```
$ python vivarium_cell/processes/convenience_kinetics.py
```

Composites with multiple integrated processes can also be executed on their own:
```
$ python vivarium_cell/composites/gene_expression.py
```

# Experiments
TODO

# Tests
Tests are performed with pytest. Simply call the following to ensure everything is working properly:
```
$ pytest
```

To run only the fast tests:
```
$ pytest -m 'not slow'
```

# Logging
Logging is done with python logging. To print out logging information, run a simulation with:
```
$ LOGLEVEL=INFO python vivarium_cell/..
```