semvec/pypi-packages huggingface dataset:
ddmrpbisection 0.0.2
Bisection modules
Requires Python: >=3.10

# Bisection-Search-Optimization

This repository contains project work related to the bisection search optimization method for finding red zone sizes 
given a target service level.

## Installation

Clone the repo into a local folder an open with PyCharm or IDE of choice.

From command line install the requirements using pip:

`pip install -r requirements.txt`

## Using the tool from an IDE

Run `main.py` to interact with the GUI and get results

*TO-DO: Create command line methods*


## Using Package from Azure Dev Ops

### Connect to the feed

Add a pip.ini (Windows) or a pip.conf (Mac/Linux) file to your virtualenv
```
[global]
index-url=https://pkgs.dev.azure.com/demanddriven/elbrus/_packaging/MLAzureDevOps/pypi/simple/
```

### Instal packages
`pip install`



## Structure

`main` contains the base tkinter GUI that drives the functionality.

`modules` contains modules from the `ddmrp-buffer-tool` repository related to simulation.
Overall the simulation methods remained mainly the same and are simply reused here.
The plan is to one day update the original package and install it as a dependency, but for iteration purposes now it is maintained separate.
bisection-modules 0.0.2
Bisection modules
Requires Python: >=3.10

# Bisection-Search-Optimization

This repository contains project work related to the bisection search optimization method for finding red zone sizes 
given a target service level.

## Installation

Clone the repo into a local folder an open with PyCharm or IDE of choice.

From command line install the requirements using pip:

`pip install -r requirements.txt`

## Using the tool from an IDE

Run `main.py` to interact with the GUI and get results

*TO-DO: Create command line methods*


## Using Package from Azure Dev Ops

### Connect to the feed

Add a pip.ini (Windows) or a pip.conf (Mac/Linux) file to your virtualenv
```
[global]
index-url=https://pkgs.dev.azure.com/demanddriven/elbrus/_packaging/MLAzureDevOps/pypi/simple/
```

### Instal packages
`pip install`



## Structure

`main` contains the base tkinter GUI that drives the functionality.

`modules` contains modules from the `ddmrp-buffer-tool` repository related to simulation.
Overall the simulation methods remained mainly the same and are simply reused here.
The plan is to one day update the original package and install it as a dependency, but for iteration purposes now it is maintained separate.