Ogaday Ogaday

Here's my process using the free and open source image editor, GIMP (I'm using version 2.10)

Launch GIMP
Open your R/G/B/IR images: File > Open as layers / CTRL-ALT-O
Optional: Add tags to your image layers: Right click layer > Color Tag > Choose R/G/B/Gray (IR)
Set mode to grayscale: Image > Mode > Grayscale
Align layers:
- Disable layer visibility (press the eye) for each layer except the bottom one
- For the next layer, make visible and, making sure the layer is selected, set mode > subtract.

Select the move tool and use your arrow keys to make sure the layer is aligned with the layer below.

Installing Ipopt

ASL is required to use Ipopt from Pyomo
I likely already had BLAS/LAPACK installed from other projects, I don't know if my libraries are optimised.

# Install dependencies
sudo apt-get install gcc g++ gfortran git patch wget pkg-config liblapack-dev libmetis-dev

# Admin windows powershell console
GET-CimInstance -query "SELECT * from Win32_DiskDrive"
wsl --mount \\.\PHYSICALDRIVE1 --bare

# WSL
lsblk -lf
sudo mkdir /media/My\ Passport

Is a M.2 NVMe PCIe gen 3, 4 channel SSD with M key.

	"""Looking parameter defaults based on another parameter in Pyomo.

	We have a model described as:

	min sum(x * Y[s] for s in S)

	Where Y[s] has a default value of x if not supplied.
	"""
	import pyomo.environ as pyo

	"""Create all auto docstring doc files for mkdocs if using explicit mkdocs navigation."""
	import os
	from pathlib import Path

	API_DOCS_PATH = Path("docs/api/")

	def to_module(path: Path) -> str:
	return ".".join(path.parts)

	"""
	Using piecewise transformations to overcome nonlinearity in storage asset optimisation.
	"""

	import matplotlib.pyplot as plt
	import numpy as np
	import pandas as pd
	import pyomo.environ as pyo
	from IPython.display import display

	services:
	warehouse:
	image: clickhouse/clickhouse-server
	ports:
	- "8123:8123"
	- "8443:8443"
	- "9000:9000"
	- "9440:9440"
	healthcheck:
	test: wget --no-verbose http://localhost:8123/

	import logging


	class Foo:
	def __init__(self):
	"""
	>>> f = Foo()
	>>> f.logger()
	<Logger class_logger_example.Foo (WARNING)>
	"""