semvec/pypi-packages huggingface dataset:
spongebobcase 0.4.1
SPoNgeBOb-CAse cONveRSioN iN PyTHoN.
Requires Python: >=3.6
Keywords: mocking spongebob case,spongebob,spongebob case,spongebobsay

# spongebobcase: SPoNgeBOb-CAse cONveRSioN iN PyTHoN

[![tests-py-pkg](https://github.com/jayqi/spongebob/workflows/tests-py-pkg/badge.svg?branch=master)](https://github.com/jayqi/spongebob/actions?query=workflow%3Atests-py-pkg+branch%3Amaster) [![PyPI](https://img.shields.io/pypi/v/spongebobcase.svg)](https://pypi.org/project/spongebobcase/)

A Python library to convert text (and text in objects) to [Mocking SpongeBob case](https://knowyourmeme.com/memes/mocking-spongebob) and show it off in fun ways.

Also available [as an R library (`spongebob`)](https://github.com/jayqi/spongebob/tree/master/r-pkg) or [as a CLI (`spongebobsay`)](https://github.com/jayqi/spongebob/tree/master/spongebobsay-cli).

## Installation. inSTAllATIoN.

You can get the LateST StABle VeRsIon of `spongebobcase` from PyPI:

```bash
pip install spongebobcase
```

Requires Python 3.6 or higher.

### Development Version. dEveLoPmEnT VerSIOn.

To install the dEveLoPmEnT VerSIOn of this package, get it DirEcTlY fROm gItHuB:

```bash
pip install -e git+https://github.com/jayqi/spongebob.git#egg=version_subpkg&subdirectory=py-pkg
```


## Usage. usAGe.

```python
from spongebobcase import tospongebob
tospongebob("a python library for spongebob-case conversion")
#> 'a PYthOn LIBraRY For sPoNgebOb-CaSe ConVERsiOn'
tospongebob(["try it on anything with strings!", "hopefully it will work!"])
#> ['tRY It ON anYThiNG wIth STRiNgs!', 'hoPeFULlY it Will WoRK!']
```

```python
from spongebobcase import spongebobsay
_ = spongebobsay("you can even make magnificent ascii art")
#>  -----------------------------------------
#> | YoU CAn eVeN mAKe MAgnIFiCEnT ascII ArT |
#>  -----------------------------------------
#>   \\
#>    \\    *
#>           *
#>      ----//-------
#>      \..C/--..--/ \   `A
#>       (@ )  ( @) \  \// |w
#>        \          \  \---/
#>         HGGGGGGG    \    /`
#>         V `---------`--'
#>             <<    <<
#>            ###   ###
#>
```

<sup>Snippets created on 2020-07-09 by the [reprexpy package](https://github.com/crew102/reprexpy)</sup>

insPIreD bY A [twiTTeR CoNVErsaTIon StArtED By @jONgAllOwaY](https://twitter.com/jongalloway/status/1075889210714816512).

---

<sup>The author of this package claims no ownership over SpongeBob SquarePants. SpongeBob SquarePants is the creation of Stephen Hillenburg, and its trademark is owned by Viacom International Inc. This package uses SpongeBob under fair use, and this package should only be used for personal, noncommercial purposes.</sup>
dave-vkostov 2.1
DISCOVERY AND VETTING of EXOPLANETS

# dave™
**D**iscovery **A**nd **V**etting of **E**xoplanets™

## Summary

This repository implements a pipeline to find and vet planets planets
using data from NASA K2 and TESS missions.

The pipeline performs the following steps:

1. Create a subset of targets for testing
2. Light Curve Genertion/CoTrend -- remove instrumental effects
	e.g. PDC light curves
	     Dan Foreman-Mackey's method
3. Detrend/Search for planets -- BLS
4. Fitting a planetary model
5. Produce vetting Metrics
6. Output useful data products


## Installation and Requirements
Please consider installing DAVE in a new environment (with Python 3.6/3.7, gnuplot installation may be a problem with 3.8) as you'll need to pip install the following packages before proceeding: astropy, metric_learn, sklearn ,pyfits, astroquery, conda install gnuplot (from command line:  conda install -c conda-forge gnuplot ), PyGnuplot, parmap, bls, clipboard, lpproj, numba and eleanor.
After having installed all the dependencies, please pip install dave-vkostov.
Now you only need one last thing: go to the dave directory, open the tessPipeline directory and open the vet_tess_.py script. Here you will see some (3 or 4) lines of code with the path of my machine. Replace them with your path to the dave dir.
Thanks for installing. 


## Example use for TESS
from python:

    from dave.tessPipeline import vet_tess_
    detrendType = "tess_2min"
    clip = vet_tess_.runOneDv(detrendType, 2, 307210830, 1, 3.690613, 1356.2038, 1863, 1.27)
    outfile = "tmp.txt"
    export_ = vet_tess_.runExport(clip,outfile_)

where input for runOneDv is: Sector, TIC ID, Planet Number, Period, BTJD, Transit Depth [ppm], Transit Duration [hours].

Currently supported "detrendType" are "tess_2min" and "eleanor", where "tess_2min" refers to the SPOC short-cadence data, and "eleanor" refers to eleanor-generated FFI lightcurves
simplevcf 0.2.0
A simple VCF parser/weriter
Requires Python: >=3.6

# simplevcf

[![Python package](https://github.com/informationsea/simplevcf-py/workflows/Python%20package/badge.svg)](https://github.com/informationsea/simplevcf-py/actions)
[![PyPI](https://img.shields.io/pypi/v/simplevcf)](https://pypi.org/project/simplevcf/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/simplevcf)](https://pypi.org/project/simplevcf/)
[![PyPI - License](https://img.shields.io/pypi/l/simplevcf)](https://pypi.org/project/simplevcf/)
[![PyPI - Format](https://img.shields.io/pypi/format/simplevcf)](https://pypi.org/project/simplevcf/)
[![PyPI - Status](https://img.shields.io/pypi/status/simplevcf)](https://pypi.org/project/simplevcf/)

Simple VCF parser/writer with pure python

[Documentation](https://informationsea.github.io/simplevcf-py/)

## Examples

### Read VCF

```python
    with simplevcf.vcfopen('some.vcf.gz') as reader:
        for record in reader:
            # process a record
```


### Read, manipulate and write

```python
    with simplevcf.vcfopen('some.vcf.gz') as reader, with open('output.vcf) as f:
        writer = simplevcf.Writer(f, reader.headers,
                                  reader.samples)
        for record in reader:
            # manipulate a record
            writer.write_record(one)
```

### Access to INFO and CALL

```python
    with simplevcf.vcfopen(test_file) as reader:
        for one in reader:
            print(
                one.INFO['AC'], one.CALL['ERP107576_NovaSeq_SAMEA104707359']['GT'][0])
```
lib-kaasknak 0.1.0
Dealing with isotopic inventories.
Requires Python: >=3.6

### Installation
To install this package it is best to use pip3.

In order to install this package type: *pip3 install lib-kaasknak*

### Usage
In order to use the package import lib in your python editor of choice.

The commands that can be used are:
- ElementZ(input) which gives the Z-value of the corresponding element.
- ElementN(input) which gives the name of the element corresponding to this Z-value.
- NatComp(input) which gives the isotopes in nature and their fractions.

### Example

```python
import lib
a=lib.ElementZ("Gd")
b,c=lib.NatComp("Gd")
print(a)
print(b)
print(c)
```
```output
64
[152, 154, 155, 156, 157, 158, 160]
[0.002, 0.0218, 0.148, 0.2047, 0.1565, 0.2484, 0.2186]
```

### Sidenote
If the element has no natural occuring isotopes it will return a list with one 0 in it. If the element only has traces of an isotope occuring in nature it will return the mass numbers of these traces. In both cases the fractions list will contain a single 0.

Data is gather from the wikipedia page for every individual element.