MartGro

## listenpermutierer.py
def listen_permutierer(a,b):
    produkt = itertools.product(a,b)#Kartesisches Produkt
    produkt_set = [i for i in set(produkt)]#Alle einfachen Dubletten entfernen
    output_set = produkt_set.copy()#Kopie, aus der die umgedrehten dubletten gelöscht werden
    for i in range(len(produkt_set)):#Von vorne her alle einzelnen Einträge durchgehen
        umgedrehtes_element = tuple(reversed(produkt_set[i]))#Das jeweilige Element umdrehen (1,2) → (2,1)
        for j in range(i,len(produkt_set)):#Alle Elemente hinterhalb anschauen und das Element entfernen, wenn es dem Umgedrehten entspricht
            if umgedrehtes_element == produkt_set[j]:
                output_set[j] = -1 #Das jeweilige Element zum löschen markieren (Im output_set steht dann halt -1 statt dem (2,1))
    output = [i for i in output_set if i != -1] #Die Elemente löschen und ausgeben

## listenpermutierer_revisited.py
import itertools

def listen_permutator(a,b):
    comb = itertools.product(a,b)
    comb = [flatten([j for j in i]) for i in comb]
    #print(list(comb))
    comb = set(tuple(sorted(i)) for i in comb if len(i) == len(set(i)))
    return [list(i) for i in comb]

def flatten(l):

## build.log
cpanm (App::cpanminus) 1.7044 on perl 5.030003 built for x86_64-linux
Work directory is /home/stud/ga42vor/.cpanm/work/1591284525.30081
You have make /usr/bin/make
You have LWP 6.44
You have /bin/tar: tar (GNU tar) 1.29
Copyright © 2015 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>.
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.

## build.log
cpanm (App::cpanminus) 1.7044 on perl 5.030003 built for x86_64-linux
Work directory is /home/stud/ga42vor/.cpanm/work/1591284564.30315
You have make /usr/bin/make
You have LWP 6.44
You have /bin/tar: tar (GNU tar) 1.29
Copyright © 2015 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>.
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.

## sort_csv _keep_header.sh
{ head -n1 unsorted.csv && tail -n+2 unsorted.csv | sort -n --field-separator="," -k 1,1; } > sorted.csv;

## Chatterjees_Xi.ipynb

      
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                MartGro
                / Chatterjees_Xi.ipynb
            
            
              Created
              December 26, 2021 19:55
            
              
                Quick demonstration of a new coefficient of correlation
              
          
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## python_solar_simulation_modules.md

      
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                MartGro
                / python_solar_simulation_modules.md
            
            
              Created
              April 10, 2022 10:01
            
          
    A collection of useful tools for simulating solar power installations with python

PVLIB:

https://github.com/pvlib/pvlib-python
https://pvlib-python.readthedocs.io/en/stable/index.html
pvlib python is a community supported tool that provides a set of functions and classes for simulating the performance of photovoltaic energy systems. pvlib python was originally ported from the PVLIB MATLAB toolbox developed at Sandia National Laboratories and it implements many of the models and methods developed at the Labs. More information on Sandia Labs PV performance modeling programs can be found at the PVPMC. We collaborate with the PVLIB MATLAB project, but operate independently of it.
Prosumpy

https://github.com/energy-modelling-toolkit/prosumpy

  
## saatgut_alte_sorten.md

      
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                MartGro
                / saatgut_alte_sorten.md
            
            
              Created
              May 19, 2022 20:22
            
          
    Übersicht: https://alte-gemuesesorten-erhalten.de/unsere-sorten/bezugsquellen/

Online-Shop der Samenbau Nordost Kooperative (https://samenbau-nordost.de/shop/?orderby=popularity) (Saatgut von den Betrieben Keimzelle, Landwirtschaftsbetrieb Johannishöhe, Saatgut- und Permakulturgarten Alt-Rosenthal, Saatguterhaltung & Jungpflanzen Albrecht Vetters, Samenbau Grete Peschken)
Online-Shop vom VERN e.V. (https://vern.de/bestellung/saatgut-bestellung) (Saatgut aus dem Erhaltungsgarten des VERN sowie von den Mitgliedsbetrieben Keimzelle, Landwirtschaftsbetrieb Johannishöhe, Saatgut- und Permakulturgarten Alt-Rosenthal, deinHof e.V., Gärtnerei Apfeltraum, Samenbau und Blumen Alexandra Becker)
Online-Shop von Dreschflegel (https://www.dreschflegel-shop.de/) (Saatgut von Samenbau Grete Peschken, Sonnensamen – Saatzucht Marcus Ströhla und weiteren 22 Betrieben)
Online-Shop vom Bio-Lieferservice „Der Landkorb“ (Saatgut vom Betrieb Keimzelle)

  
## HowTo Run flatCAM
1) Download FlatCAM_beta_8.994_sources

2) Python 3.8

3) Manually install gdal from conda

4) Bug fixes:
- Vector bug fix


## extract_roi.py
# This relies on the read-roi library from here: https://github.com/hadim/read-roi
# Additionally, it requires shapely for the polygons
# And ray for parallelizing

from read_roi import read_roi_zip
import glob

#find all roi zip files
all_zip_path = glob.glob("your_folder/*.zip")
	def listen_permutierer(a,b):
	produkt = itertools.product(a,b)#Kartesisches Produkt
	produkt_set = [i for i in set(produkt)]#Alle einfachen Dubletten entfernen
	output_set = produkt_set.copy()#Kopie, aus der die umgedrehten dubletten gelöscht werden
	for i in range(len(produkt_set)):#Von vorne her alle einzelnen Einträge durchgehen
	umgedrehtes_element = tuple(reversed(produkt_set[i]))#Das jeweilige Element umdrehen (1,2) → (2,1)
	for j in range(i,len(produkt_set)):#Alle Elemente hinterhalb anschauen und das Element entfernen, wenn es dem Umgedrehten entspricht
	if umgedrehtes_element == produkt_set[j]:
	output_set[j] = -1 #Das jeweilige Element zum löschen markieren (Im output_set steht dann halt -1 statt dem (2,1))
	output = [i for i in output_set if i != -1] #Die Elemente löschen und ausgeben
	import itertools

	def listen_permutator(a,b):
	comb = itertools.product(a,b)
	comb = [flatten([j for j in i]) for i in comb]
	#print(list(comb))
	comb = set(tuple(sorted(i)) for i in comb if len(i) == len(set(i)))
	return [list(i) for i in comb]

	def flatten(l):
	cpanm (App::cpanminus) 1.7044 on perl 5.030003 built for x86_64-linux
	Work directory is /home/stud/ga42vor/.cpanm/work/1591284525.30081
	You have make /usr/bin/make
	You have LWP 6.44
	You have /bin/tar: tar (GNU tar) 1.29
	Copyright © 2015 Free Software Foundation, Inc.
	License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>.
	This is free software: you are free to change and redistribute it.
	There is NO WARRANTY, to the extent permitted by law.
	1) Download FlatCAM_beta_8.994_sources

	2) Python 3.8

	3) Manually install gdal from conda

	4) Bug fixes:
	- Vector bug fix
	# This relies on the read-roi library from here: https://github.com/hadim/read-roi
	# Additionally, it requires shapely for the polygons
	# And ray for parallelizing

	from read_roi import read_roi_zip
	import glob

	#find all roi zip files
	all_zip_path = glob.glob("your_folder/*.zip")