semvec/pypi-packages huggingface dataset:
CakeApi 1.0.5
Using this module you can create a API collection and it also has lots of utilities to validate the response, status code, store a value in collection variable etc.
License: MIT
Keywords: API,Rest API,API Collection,Test Automation,API test automation framework,Automation framework

**CAKE API:**   
Using this module you can create a API collection and it also has lots of utilities to validate the response, status code, store a value in collection variable etc.

**INSTALLATION:**   
>pip install CakeApi

**USAGE:**   
_from CakeApi.CakeApiUtilities import CreateApiCollection_

_demoApiCollection = CreateApiCollection(baseUrl="https://reqres.in/")  
demoApiCollection.hitTheGetRequest(url="/api/users?page=2").validateStatusCodeIs200()\\\
&nbsp;&nbsp;&nbsp;&nbsp;.validateTheResponseValue(expectedValue="Michael", responseDictPath="['data'][0]['first_name']")\\\
&nbsp;&nbsp;&nbsp;&nbsp;.hitThePostRequest(url="/api/users", data=dict(name="morpheus", job="leader")).validateStatusCodeIs201()\\\
&nbsp;&nbsp;&nbsp;&nbsp;.validateTheResponseValue(expectedValue="leader", responseDictPath="['job']")_

>Note: Refer the function comments, to get a better idea on the usage.

**CONTACT:**   
Contact me for collabration.
>Email - krishnaForTestAutomation@gmail.com

>LinkedIn - https://www.linkedin.com/in/krishna-kumar-859a73134
  
**LICENSE:**   
Â© 2020 Krishna Kumar Viswanathan   
This repository is licensed under the MIT license
See LICENSE for details.
TOPSIS-Misha-101803590 3.0.0
Topsis package to calculate the score and rank of a given data.
License: MIT

# TOPSIS-Python
A command line source code for TOPSIS optimization algorithm in python.

TOPSIS is an algorithm to determine the best choice out of many using Positive Ideal Solution and Negative Ideal Solution.

### 1.1 Input/Output Files:
• Input File of the form ".csv"
• Input file contain three or more columns
• First column is the object/variable name (e.g. M1, M2, M3, M4......) o From 2nd to last columns contain numeric values only
• Output Files of the form ".csv"
• Result file contains all the columns of input file and two additional columns having
TOPSIS SCORE and RANK

### 1.2 Source code as a command line program:
Usages:
topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>
Example:
topsis inputfile.csv “1,1,1,2” “+,+,-,+” result.csv

#### 1.3 SAMPLE INPUT 
| MODEL | CORR | RSEQ | RMSE | ACCURACY |
| ------ | ------ | ------ | ------ | ------ |
| M1 | 0.79	| 0.62	| 1.25	| 60.89 |
| M2 | 0.66	| 0.44	| 2.89	| 63.07 |
| M3 | 0.56	| 0.31	| 1.57	| 62.87 |
| M4 | 0.82	| 0.67	| 2.68	| 70.19 |
| M5 | 0.75 |	0.56 | 1.3 | 80.39 |

#### 1.4 SAMPLE OUTPUT 
| MODEL | CORR | RSEQ | RMSE | ACCURACY | SCORE | RANK |
| ------ | ------ | ------ | ------ | ------ | ------ | ------ |
| M1 | 0.79	| 0.62	| 1.25	| 60.89 | 0.7582678375908800	| 2.0 |
| M2 | 0.66	| 0.44	| 2.89	| 63.07 |	0.06794169631733270	| 5.0 |
| M3 | 0.56	| 0.31	| 1.57	| 62.87 |	0.32174656669725500	| 4.0 |
| M4 | 0.82	| 0.67	| 2.68	| 70.19 |	0.5382503509592460	| 3.0 |
| M5 | 0.75 |	0.56 | 1.3 | 80.39 |	0.9587817919266940	| 1.0 |
tricks-librus 0.9
A python wrapper of Librus API
License: MIT

Fast and powerful Synergia Librus API wrapper



> Documentation avaible at https://librustricks.kpostek.dev/
>
> Written from a scratch by Krystian _`Backdoorek`_ Postek, updated by Kosiacek
>  
> Wanna chat? You can find me on [discord](http://szkolny.eu/discord) and [telegram](https://t.me/kosiacekwastaken)