semvec/pypi-packages huggingface dataset:
xplainer-toolkit 0.0.1
xplainer.ai toolkit enables developers to explore predictions of their deep learning models. Focused on image classification and TensorFlow 2+.
Requires Python: >=3.6

The ultimate goal of this toolkit is to promote explainable AI. 
It should offer developers varied ways to examine predictions of their models.

We are just at the beginning of a long road. For a start, we decided to aim at:
- Image classification.
- Tensorflow 2+ models.

There are already a couple of existing libraries. We do not want to duplicate them.
This project rather tries to make them available with as little effort as possible,
at one place.

For more information, please visit the [GitHub repository](https://github.com/liborvaneksw/xplainer/).
robotframework-csvlib 1.0.1
CSV library for robotframework written in Python 3

# robotframework-csvlib
CSV library for robotframework written in Python 3

## Installation
```
pip install robotframework-csvlib
```

## Quick Keyword Overview
```
Read CSV As Single List 
    Arguments:
        Filepath
        Delimiter (optional)
    Returns:
        A single list with all values.
```
```
Read CSV As List 
    Arguments:
        Filepath
        Delimiter (optional)
    Returns:
        A list containing all rows as lists.
```
```
Read CSV As Dictionary 
    Arguments:
        Filepath
        Name of key column
        Name(s) of value column(s)
        Delimiter (optional)
    Returns:
        A dictionary with the key column a key and the value column(s) as value. 
        If there are multiple value columns the value will be a list containing all values.
```

### Example
```
*** Settings ***
Library  CSVLib

*** Test Cases ***
Test CSV
	${singlelist}=		Read CSV As Single List		test.csv
	log to console		${singlelist}

	${list}=		read csv as list		test.csv
	log to console		${list}

	${dict}=		read csv as dictionary		test_dict.csv		Animal		Legs		,
	log to console		${dict}

	${value}=		create list			Legs			Eyes
	${dictWList}=		read csv as dictionary		test_dict1.csv		Animal		${value}	,
	log to console		${dictWList}
```