OrangeChannel

# region --- Imports ---------------------------------------------------------------------------------------------------
from sympy import *  # symbolical algebra library

from numbers import Real
import math
from fractions import Fraction

from functools import wraps
from typing import Any, TypeVar, Callable, Optional, Final, TypeAlias
from enum import Enum, auto

OrangeChannel

import math
from random import random
from abc import ABC

__all__ = [
    'Thing', 'battle'
]


class Thing(ABC):

OrangeChannel

"""Creates easy frame comparisons between multiple VapourSynth clips."""
__all__ = ['prep', 'comp', 'save']
__author__ = 'Dave <orangechannel@pm.me>'
__date__ = '30 November 2019'

import os
from contextlib import contextmanager
from functools import partial
from math import floor, sqrt
from random import randint, sample

OrangeChannel

"""
Duct sizing functions based on ASHRAE with extentions for Darcy/Colebrook formulas from Niazkar.
"""
# fmt: off
from datetime import date

__author__ = 'David Stein <dstein@ventrop.com>'
__date__ = date.fromisoformat('2022-11-09')
__company__ = 'Ventrop ECG, PLLC'
# __all__ = ["find_hydraulic_diameter", "find_second_dimension", "get_all_possible_dims", "minimum_ventilation_rates", "run"]

OrangeChannel

from duct_sizer import *

# region --- Makeup air ------------------------------------------------------------------------------------------------

MA_A1_dryers = Diversity_Riser({0: 2, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0}, 200)
MA_A1_kitchens = Diversity_Riser({0: 0, 1: 1, 2: 0, 3: 1, 4: 1, 5: 1, 6: 1}, 250)
MA_A1_cfms = np.asarray(MA_A1_dryers.cfms) + np.asarray(MA_A1_kitchens.cfms)

MA_A2_dryers = Diversity_Riser({0: 2, 1: 0, 2: 0, 3: 0, 4: 0, 5: 1, 6: 0, }, 200)
MA_A2_kitchens = Diversity_Riser({0: 0, 1: 1, 2: 0, 3: 0, 4: 0, 5: 1, 6: 1,}, 250)

OrangeChannel

"""
Duct sizing functions based on ASHRAE with extentions for Darcy/Colebrook formulas from Niazkar.
"""
# fmt: off
from datetime import date

__author__ = 'David Stein <dstein@ventrop.com>'
__date__ = date.fromisoformat('2022-11-09')
__company__ = 'Ventrop ECG, PLLC'
# __all__ = ["find_hydraulic_diameter", "find_second_dimension", "get_all_possible_dims", "minimum_ventilation_rates", "run"]

OrangeChannel

"""
Duct sizing functions based on ASHRAE with extentions for Darcy/Colebrook formulas from Niazkar.
"""
# fmt: off
from datetime import date

__author__ = 'David Stein <dstein@ventrop.com>'
__date__ = date.fromisoformat('2022-11-09')
__company__ = 'Ventrop ECG, PLLC'
__all__ = ["find_hydraulic_diameter", "find_second_dimension", "get_all_possible_dims", "minimum_ventilation_rates", "run"]

OrangeChannel

"""
Duct sizing functions based on ASHRAE with extentions for Darcy/Colebrook formulas from Niazkar.
"""
# fmt: off
from datetime import date

__author__ = 'David Stein <dstein@ventrop.com>'
__date__ = date.fromisoformat('2022-11-09')
__company__ = 'Ventrop ECG, PLLC'
__all__ = ["find_hydraulic_diameter", "find_second_dimension", "get_all_possible_dims", "minimum_ventilation_rates", "run"]

OrangeChannel

"""
Duct sizing functions based on ASHRAE with extentions for Darcy/Colebrook formulas from Niazkar.
"""
# fmt: off
from datetime import date

__author__ = 'David Stein <dstein@ventrop.com>'
__date__ = date.fromisoformat('2022-11-07')
__company__ = 'Ventrop ECG, PLLC'
__all__ = ["find_hydraulic_diameter", "find_second_dimension", "get_all_possible_dims", "minimum_ventilation_rates", "run"]

OrangeChannel

from sympy import *  # symbolical algebra library

from enum import Enum, auto
from typing import *
from numbers import Number
from fractions import Fraction
import math

import inspect
from functools import partial, wraps