semvec/pypi-packages huggingface dataset:
fico21softlibswin 0.9.86
This is a fico21soft's common libraries
Requires Python: >=3
Keywords: common,library,fico21soft

## This is a fico21soft's common libraries...



#### **install**

```
pip install fico21softlibs
```



#### import

```
from fico21softlibs.common import CommonLib as com
```



#### Static methods

```
restart()
```

```
is_internet_connected()
```

```
create_logger(logger_name, logger_level=logging.ERROR, filename="log")
```

```
open_url(url)
```

```
merge_list(list1, list2)
```

```
os()
```

```
db_connect(server, database, username, password)
```

```
get_contacts(filename)
```

```
read_template(filename)
```

```
smtp_login(host, port, user_name, pwd)
```

```
have_punctuation(str)
```

```
punctuation_pos(str)
```

```
remove_punctuation(src_str)
```

```
get_webdriver()
```

```
wd_wait_by_class_name(wd, timeout=10, class_name='')
wd_wait_by_id(wd, timeout=10, id='')
```

```
send_keys(keys)
```

```
wd_send_keys(wd, keys)
```

```
get_clipboard_data()
```

```
set_clipboard_data(data)
```

```
paste_data(data)
```

```
close_popup(wd)
```

```
switch_to_popup(wd)
```

```
create_new_tab(chromewebdriver, url)
```

```
close_new_tab(wd)
```

```
alert_close(ie)
```

```
press_tab(wd, cnt)
```

```
press_enter(wd, cnt)
```

```
expand_shadow_element(wd, element)
```

```
arrow_down(elem)
```

```
click_image(ga, image, must=True, x_opset=0, y_optset=0, button='left', double_click=False)
```



#### Windows only

```
input_keys(data)
```

```
paste_data(data)
```

```
scroll(clicks=0, delta_x=0, delta_y=0, delay_between_ticks=0)
```
Topsis-Nikhil-101803670 0.0.7
it is package which tells you best value based on the data by using some mathematical calculations
Requires Python: >=3.6

# topsis_pckg
It is a Python package to find out the best value among the different data using the mathematical calculations.
## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install this package.

```bash
pip install topsis-Nikhil-101803670
```

## About
TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those

To get started quickly, just use the following:

```bash
from topis_pckg.topsis import topsis
topsis('inputfilename','Weights','Impacts','Outputfilename')
```
make ensure the weights and impacts should be in "" 

eg: "1,1,1,1" and "+,-,+,-"

## Pre-requisite
The data should be enclosed in the csv file. There must be more than 2 columns


## Result
the output(outputfilename)  is saved in the project folder with extra 2 columns with topsis score and rank.

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.
https://github.com/coolestbnslz/topsis_pckg/tree/topsis_pckg
## License
[MIT](https://choosealicense.com/licenses/mit/)
topsis-Inderjeet-101803689 1.0.0
It is package which is used to find best among the value using mathematical model(topsis)
Requires Python: >=3.6

# topsis_package
It is a python package which is used to find best among the value using mathematical model(topsis)

## Installation
Use the package manager [pip](https://pip.pypa.io/en/stable/) to install this package.

```bash
pip install topsis-Inderjeet-101803689
```

## About
TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those

To get started quickly, just use the following:

```bash
from topsis_pckg.topsis import topsis
topsis('file_name','Weight','Impact','outputfile_name')
```
make ensure the weights and impacts should be in "" 

eg: "1,1,1,1" and "+,-,+,-"

## Pre-requisite
The data should be enclosed in the csv file. There must be more than 2 columns

## Result
the output(outputfile_name)  is saved in the project folder with extra 2 columns with topsis score and rank.

## License
Â© 2020  Inderjeet Singh

[MIT](https://choosealicense.com/licenses/mit/)