pmav99

Setup: `codex` wrapper for Azure OpenAI

This wrapper checks for an Azure OpenAI API key before launching codex. If the key is missing or insecure, it falls back to the openai profile.

Create ~/.codex/config.toml with the following content:

# ~/.codex/config.toml

import numpy as np

face_nodes = np.array([
    [1, 2, 6, np.nan],
    [1, 6, 5, np.nan],

	Generated by pyPoseidon/Seareport. Source: https://gitlab.awi.de/fesom/pi
	5839 3140
	1 -60.601185 74.282921 672.000000
	2 -60.730137 73.911835 534.000000
	3 -62.152714 74.051453 621.000000
	4 -60.711136 74.629112 744.000000
	5 -62.033558 74.489540 594.000000
	6 -59.973656 74.909492 732.000000
	7 -63.679485 73.741440 721.000000
	8 -65.553253 73.517487 2288.000000

	from itertools import product

	import numpy as np

	INV_SQRT_3 = 1.0 / np.sqrt(3.0)
	ASIN_INV_SQRT_3 = np.arcsin(INV_SQRT_3)


	def gaussian_bell(xs, ys, xc=0., yc=0., xsigma=1., ysigma=1.):
	""" Compute a 2D Gaussian with asymmetric standard deviations and

	from functools import reduce
	from typing import Any
	from typing import Dict


	def merge(a, b, path=None):
	""" Merge dictionary a into b (in-place)"""
	# source: https://stackoverflow.com/a/7205107/592289
	if path is None: path = []
	for key in b:

	import numpy as np
	import pyproj

	# Use the "new" numpy API for the random number generation (requires numpy >=1.17)
	rng = np.random.default_rng(seed=1)

	# Create arrays with random points
	no_points = 5
	longitudes = rng.uniform(low=10, high=20, size=no_points)
	latitudes = rng.uniform(low=33, high=45, size=no_points)

	$ sudo hcitool lescan
	AA:BB:CC:DD:EE:FF Polar H10 ABCDEFGH

	$ gatttool -t random --device=AA:BB:CC:DD:EE:FF --interactive
	[AA:BB:CC:DD:EE:FF][LE]> connect
	Attempting to connect to AA:BB:CC:DD:EE:FF
	Connection successful
	[AA:BB:CC:DD:EE:FF][LE]> primary
	attr handle: 0x0001, end grp handle: 0x0009 uuid: 00001800-0000-1000-8000-00805f9b34fb
	attr handle: 0x000a, end grp handle: 0x000d uuid: 00001801-0000-1000-8000-00805f9b34fb