carderne

import pathlib
from itertools import product

from tqdm import tqdm
import rasterio

import geosoft
import geosoft.gxpy.gx as gx
import geosoft.gxpy.coordinate_system as gxcs
import geosoft.gxpy.grid as gxgrid

carderne

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carderne

import sys

import numpy as np
import rasterio as rio
from rasterio.warp import reproject, Resampling


def make_same(src_path: str, like_path: str, out_path: str) -> None:
    with rio.open(like_path) as ds:
        like_arr = ds.read(1)

carderne

from prefect import Flow, task
from loguru import logger


def fn1():
    print("Hello from fn1")


def fn2():
    logger.info("Hello from fn2")

carderne

carderne

whoopsie-upload-all[1195]: /var/crash/_usr_bin_i3.1000.crash already marked for upload, skipping
systemd[1463]: Starting GNOME Session Manager (session: i3-gnome-flashback)...
systemd[1463]: Started GNOME Session Manager (session: i3-gnome-flashback).
systemd[1463]: Reached target GNOME Session (session: i3-gnome-flashback).
i3-gnome-flashback.desktop[2246]: method return time=1570699567.739931 sender=:1.31 -> destination=:1.50 serial=125 reply_serial=2
i3-gnome-flashback.desktop[2246]:    object path "/org/gnome/SessionManager/Client10"
i3-gnome-flashback.desktop[2246]: Usage:
i3-gnome-flashback.desktop[2246]:   gsettings [--schemadir SCHEMADIR] get SCHEMA[:PATH] KEY
i3-gnome-flashback.desktop[2246]: Get the value of KEY
i3-gnome-flashback.desktop[2246]: Arguments:

carderne

from math import pi, ceil

def get_num_service_transf(pop, peak_kw_pp=1):   
    grid_cell_area = 0.45 * 0.45       # km2
    num_people_per_hh = 4
    power_factor = 0.9
    lv_line_max_length = 0.5           # km

    service_transf_type = 50           # kVa
    max_nodes_per_serv_trans = 300     # maximum number of nodes served by each service transformer

carderne

Instructions to run gridfinder on cloud through SSH

1. Open your terminal and type the following and enter the password.

$ ssh <user>@<IP>

2. There are several different processes running in different tmux sessions. I prepared two sessions called g1 and g2 that we can use to run the algorithm in parallel. To connect to one of the sessions, type the below. There should now be an extra bar on the bottom of the terminal with the session name in it.

$ tmux attach -t 

carderne

from math import sqrt

import numpy as np
from scipy import signal
import rasterio

# Code from https://github.com/carderne/gridfinder/blob/master/gridfinder/prepare.py
# And https://github.com/carderne/gridfinder/blob/master/gridfinder/_util.py

def filter_func(i, j):