KelSolaar

import asyncio
import json
import logging
from functools import partial, reduce
from pathlib import Path

import aiofiles
import aiohttp
import aiometer

KelSolaar

apt:
  sources:
    hashicorp:
      keyid: 798AEC654E5C15428C8E42EEAA16FCBCA621E701 # fingerprint of https://apt.releases.hashicorp.com/gpg to fetch from Ubuntu Keyserver
      source: "deb [signed-by=$KEY_FILE] https://apt.releases.hashicorp.com $RELEASE main"
    docker:
      keyid: 9DC858229FC7DD38854AE2D88D81803C0EBFCD88
      source: "deb [signed-by=$KEY_FILE] https://download.docker.com/linux/ubuntu $RELEASE stable"
package_update: true
packages:

KelSolaar

from algorithm import parallelize
from benchmark import Benchmark
from math import min
from math.limit import inf
from python import Python
from tensor import Tensor, TensorSpec, TensorShape
from random import rand
from time import now
from utils.index import Index

KelSolaar

# Standard claims at https://webstore.ansi.org/preview-pages/ESTA/preview_ANSI+E1.54-2015.pdf gives [0.4254, 0.4044]

import colour

# Blackbody: 360, 780, 1nm
# CIE 1931 2 Degree Standard Observer: 360, 780, 1nm
# Method: ASTM E308
print(
    colour.XYZ_to_xy(
        colour.sd_to_XYZ(

KelSolaar

<?xml version='1.0' ?>

<!--
    Why is this one giant script instead of a bunch of smaller scripts?
    Mostly this comes down to BuildGraph and personal preference. As the language BuildGraph isn't
    really much of a programming language there is no easy way to use an IDE and jump between
    includes, find usages of variables, and just generally quickly search things. It was found to
    be easier to have a single large file that a developer can quickly jump up and down in when
    trying to understand what the BuildGraph script is doing.

KelSolaar

#!/usr/bin/env python
"""
AideDD - Atlas
==============

This Python module extracts the map data from
`AideDD Atlas <https://www.aidedd.org/public/atlas>`__

The following packages are required:

KelSolaar

[tool.poetry]
name = "colour"
version = "0.4.0"
description = "Colour Science for Python"
license = "BSD-3-Clause"
authors = [ "Colour Developers <[email protected]>" ]
maintainers = [ "Colour Developers <[email protected]>" ]
readme = 'README.rst'
repository = "https://github.com/colour-science/colour"
homepage = "https://www.colour-science.org/"

KelSolaar

Google Summer of Code Final Work Report

• Name: Geetansh Saxena
• Organisation: NumFOCUS
• Sub-Organisation: Colour Science
• Project Title: Adding New Colour Models

KelSolaar

{
    "ALEXA SXT": {
        "A-2_2": {
            "-2": {
                "Directory": "/20210601/A003R732/A003R732/A003C003_210519_R732",
                "Encoding": "LOG-C/AWG",
                "Grey Card (Sequence)": [
                    [0.255043625831604, 0.24865077435970306, 0.23095490038394928],
                    [0.2548905611038208, 0.2486673891544342, 0.23095150291919708],
                    [0.2553250789642334, 0.24885307252407074, 0.23137225210666656],

KelSolaar

{
    "ALEXA SXT": {
        "Flat Field": {
            "NA": {
                "Samples (Sequence)": [
                    [
                        [0.671089768409729, 0.6727330684661865, 0.6635704040527344],
                        [0.6711151003837585, 0.6730829477310181, 0.6639554500579834],
                        [0.6708062291145325, 0.6727433204650879, 0.6637686491012573],
                        [0.6708905696868896, 0.6724928021430969, 0.663275420665741],