From 85437c3c60798e715b7cefcbc1c7108141aaedfa Mon Sep 17 00:00:00 2001
From: mathleur <mathilde.leuridan@ecmwf.int>
Date: Wed, 28 Feb 2024 15:13:08 +0100
Subject: [PATCH] remove unused comments

---
 readme.md | 22 ----------------------
 1 file changed, 22 deletions(-)

diff --git a/readme.md b/readme.md
index ff357c99..2f3ec439 100644
--- a/readme.md
+++ b/readme.md
@@ -33,39 +33,30 @@ Polytope supports datacubes which have branching, non-uniform indexing, and even
 > [!WARNING]
 > This project is BETA and will be experimental for the forseable future. Interfaces and functionality are likely to change, and the project itself may be scrapped. DO NOT use this software in any project/software that is operational.
 
-<!-- | :warning: This project is BETA and will be experimental for the foreseeable future. Interfaces and functionality are likely to change. DO NOT use this software in any project/software that is operational. |
-|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -->
-
 ## Concept 
 
 Polytope is designed to enable extraction of arbitrary extraction of data from a datacube. Instead of the typical range-based bounding-box approach, Polytope can extract any shape of data from a datacube using a "polytope" (*n*-dimensional polygon) stencil.
 
-<!-- <div style="text-align:center"> -->
 <p align="center">
   <img src="./docs/Overview/images_overview/ecmwf_polytope.png" alt="Polytope Concept" width="450"/>
 </p>
-<!-- </div> -->
 
 The Polytope algorithm can for example be used to extract:
 
 - 2D cut-outs, such as country cut-outs, from a datacube
-    <!-- <div style="text-align:center"> -->
     <p align="center">
         <img src="./docs/images/greece.png" alt="Greece cut-out" width="250"/>
     </p>
-    <!-- </div> -->
 
 - timeseries from a datacube
     <p align="center">
         <img src="./docs/images/timeseries.png" alt="Timeseries" width="350"/>
     </p>
-    <!-- </div> -->
 
 - more complicated spatio-temporal paths, such as flight paths, from a datacube
     <p align="center">
         <img src="./docs/images/flight_path.png" alt="Flight path" width="350"/>
     </p>
-    <!-- </div> -->
 
 - and many more high-dimensional shapes in arbitrary dimensions...
 
@@ -141,21 +132,8 @@ Here is a step-by-step example of how to use this software.
                                 ↳longitude=1.0
     ```
 
-<!-- # Requirements
-
-Python >= 3.7 (for OrderedDict)
-TODO: populate requirements.txt -->
-
 ## Testing
 
-<!-- #### Git Large File Storage
-
-Polytope uses Git Large File Storage (LFS) to store large data files used in its tests and examples. 
-To run the tests and examples, it is thus necessary to install Git LFS, by following instructions provided [here](https://docs.github.com/en/repositories/working-with-files/managing-large-files/installing-git-large-file-storage) for example. 
-Once Git LFS is installed, individual data files can be downloaded using the command
-
-    git lfs pull --include="*" --exclude=""  -->
-
 #### Additional Dependencies
 
 The Polytope tests and examples require additional Python packages compared to the main Polytope algorithm.