schoeller

import sys

# Writing STL mesh to 3dfaces as DXF using dxfwrite
# Dirty script thus only for triangles

from dxfwrite import DXFEngine as dxf
drawing = dxf.drawing('test.dxf')

for line in sys.stdin.readlines():
	if line.find(" facet") == 0:

schoeller

#!/usr/sh
# works with Taudem 5.0.6

# Pit fill
mpiexec -n 8 pitremove -z dtm.tif -fel dtmfel.tif

# Flow directions
mpiexec -n 8 d8flowdir -p dtmp.tif -sd8 dtmsd8.tif -fel dtmfel.tif 
mpiexec -n 8 dinfflowdir -ang dtmang.tif -slp dtmslp.tif -fel dtmfel.tif 

schoeller

# Based on https://github.com/Hydrata/ChennaiFloodModel and adapted to Anuga examples for further automisation

# Anuga imports
from math import sin, pi, exp
from osgeo import gdal, osr
import csv
import anuga, os, sys, numpy, urllib
import anuga.utilities.quantity_setting_functions as qs
import anuga.utilities.log as log
from anuga.shallow_water.forcing import Rainfall

schoeller

1.Follow instruction as per https://wiki.lineageos.org/devices/river/build to setup the environment including repo, caching

2.When initializing the repo use branch 17.1
repo init -u https://github.com/LineageOS/android.git -b lineage-17.1
repo sync

3.Clone specific repos for enabling device support
git clone https://github.com/GS290-dev/android_device_gigaset_GX290-unified -b lineage-17.1 device/gigaset/GX290-unified
git clone https://github.com/GS290-dev/proprietary_vendor_gigaset/ -b lineage-17.1 vendor/gigaset
git clone https://github.com/GS290-dev/android_device_gigaset_mt6763-common -b lineage-17.1 device/gigaset/mt6763-common

schoeller

# -*- coding: utf-8 -*-
"""
@author: Sebastian Schoeller

Source:
https://github.com/Deltares/pyflwdir/issues/15

1.    Create regions from the landuse map, using e.g. scipy.ndimage.label. This returns a map with unique IDs for connected regions with the same landuse.
2.    Find the most downstream "outflow pixel" of each region using pyflwdir.FlwdirRaster.inflow_idxs Note: should still be added to the API Reference in the docs. This returns a list with linear indices of outflow pixels.
3.    Derive subbasins using pyflwdir.FlwdirRaster.basins based on the indices of the outflow pixels from step 2, supplied using the idxs_out option. This returns a map with unique IDs for each basin.

schoeller

Recipe for Eos 0.23.9-r:

repo init -u https://gitlab.e.foundation/e/os/releases.git -b refs/tags/v0.23.9-r
mkdir .repo/local_manifests
vi .repo/local_manifests/eos.xml

<?xml version="1.0" encoding="UTF-8"?>
<manifest>
  <remote name="fdroid" fetch="https://gitlab.com/fdroid/" />
  <remote name="sfX" fetch="https://github.com/sfX-Android/" />

schoeller

; Schraffuren analog zu https://www.rug-dach.de/download/sammeldateien.html

*FP1_1, Ortbeton - bewehrt
45, 0,0, 0,203.2, 101.6, -101.6
45, 179.605,35.921, 0,203.2

*FP1_10, Mauerwerk - ohne Dämmeigenschaften
45, 0,0, 0,152.4
45, 71.842,0, 0,152.4

schoeller

import warnings
warnings.filterwarnings("ignore")

from wetterdienst.provider.dwd.observation import DwdObservationRequest, \
    DwdObservationPeriod, DwdObservationResolution, DwdObservationParameter, DwdObservationDataset

# # all
# print("All available parameters")
# print(
#     DwdObservationRequest.discover()

schoeller

import traceback
from pyrx_imp import Rx, Ge, Gi, Db, Ap, Ed, Cv

def PyRxCmd_pydebug() -> None:
    import PyRxDebug
    PyRxDebug.startListener()

drawProps = {'colorIndex': 255,'radius': 0.2}

def getIds(vAlignment):