From b4d40d823cba145efdbb80495c5fb3a3dfdcb55f Mon Sep 17 00:00:00 2001 From: Jordan Ocokoljic Date: Tue, 6 Feb 2024 23:10:03 +1100 Subject: [PATCH] Fix issues with JOS3, migrate most functions to use `math.Matrix` instead of plain arrays (#125) --- docs/index.html | 368 +- package-lock.json | 165 +- package.json | 5 +- src/jos3_functions/bfb_rate.js | 4 +- src/jos3_functions/conductance.js | 130 +- src/jos3_functions/local_bsa.js | 6 +- src/jos3_functions/matrix.js | 310 +- .../thermoregulation/ava_blood_flow.js | 23 +- .../thermoregulation/basal_met.js | 1 + .../thermoregulation/clo_area_factor.js | 4 +- .../thermoregulation/conv_coef.js | 74 +- .../thermoregulation/cr_ms_fat_blood_flow.js | 45 +- src/jos3_functions/thermoregulation/dry_r.js | 18 +- .../thermoregulation/error_signals.js | 33 +- .../thermoregulation/evaporation.js | 78 +- .../thermoregulation/fixed_hc.js | 13 +- .../thermoregulation/fixed_hr.js | 12 +- .../thermoregulation/local_mbase.js | 28 +- .../thermoregulation/local_q_work.js | 10 +- .../thermoregulation/nonshivering.js | 11 +- .../thermoregulation/operative_temp.js | 17 +- .../thermoregulation/rad_coef.js | 15 +- .../thermoregulation/resp_heat_loss.js | 11 +- .../thermoregulation/shivering.js | 56 +- .../thermoregulation/skin_blood_flow.js | 56 +- src/jos3_functions/thermoregulation/sum_bf.js | 20 +- src/jos3_functions/thermoregulation/sum_m.js | 42 +- src/jos3_functions/thermoregulation/wet_r.js | 23 +- src/models/JOS3.js | 991 ++-- src/models/index.js | 2 + src/supa.js | 2 +- tests/index.test.js | 4 + tests/jos3_functions/conductance.test.js | 2 +- tests/jos3_functions/local_bsa.test.js | 2 +- .../thermoregulation/ava_blood_flow.test.js | 20 +- .../thermoregulation/clo_area_factor.test.js | 14 +- .../thermoregulation/conv_coef.test.js | 2 +- .../cr_ms_fat_blood_flow.test.js | 74 +- .../thermoregulation/dry_r.test.js | 34 +- .../thermoregulation/error_signals.test.js | 9 +- .../thermoregulation/evaporation.test.js | 104 +- .../thermoregulation/fixed_hc.test.js | 12 +- .../thermoregulation/fixed_hr.test.js | 2 +- .../thermoregulation/local_mbase.test.js | 2 +- .../thermoregulation/local_q_work.test.js | 2 +- .../thermoregulation/nonshivering.test.js | 229 +- .../thermoregulation/operative_temp.test.js | 22 +- .../thermoregulation/rad_coef.test.js | 2 +- .../thermoregulation/resp_heat_loss.test.js | 2 +- .../thermoregulation/shivering.test.js | 1508 +++++- .../thermoregulation/skin_blood_flow.test.js | 31 +- .../thermoregulation/sum_bf.test.js | 2 +- .../thermoregulation/sum_m.test.js | 72 +- .../thermoregulation/wet_r.test.js | 25 +- tests/models/1_run_dict.json | 578 +++ tests/models/1_run_getters.json | 198 + tests/models/1_run_setters.json | 153 + tests/models/20_runs_dict.json | 4425 +++++++++++++++++ tests/models/JOS3.test.js | 213 +- 59 files changed, 9004 insertions(+), 1312 deletions(-) create mode 100644 tests/models/1_run_dict.json create mode 100644 tests/models/1_run_getters.json create mode 100644 tests/models/1_run_setters.json create mode 100644 tests/models/20_runs_dict.json diff --git a/docs/index.html b/docs/index.html index c271aba..8e57df0 100644 --- a/docs/index.html +++ b/docs/index.html @@ -309,6 +309,12 @@

jsthermalcomfort

Physiological Equivalent Temperature (PET) +
  • + JOS3 +
    • + @@ -737,7 +743,7 @@

    - + src/models/index.js @@ -788,7 +794,7 @@

    - + src/models/heat_index.js @@ -940,7 +946,7 @@

    - + src/models/phs.js @@ -1091,7 +1097,7 @@

    - + src/models/phs.js @@ -1273,7 +1279,7 @@

    - + src/models/phs.js @@ -1443,7 +1449,7 @@

    - + src/models/humidex.js @@ -1563,7 +1569,7 @@

    - + src/models/humidex.js @@ -1678,7 +1684,7 @@

    - + src/models/net.js @@ -1839,7 +1845,7 @@

    - + src/models/wbgt.js @@ -2021,7 +2027,7 @@

    - + src/models/discomfort_index.js @@ -2106,7 +2112,7 @@

    - + src/models/discomfort_index.js @@ -2227,7 +2233,7 @@

    - + src/models/discomfort_index.js @@ -2312,7 +2318,7 @@

    - + src/models/discomfort_index.js @@ -2427,7 +2433,7 @@

    - + src/models/two_nodes.js @@ -2621,7 +2627,7 @@

    - + src/models/two_nodes.js @@ -2719,7 +2725,7 @@

    - + src/models/two_nodes.js @@ -2972,7 +2978,7 @@

    - + src/models/two_nodes.js @@ -3161,7 +3167,7 @@

    - + src/models/two_nodes.js @@ -3414,7 +3420,7 @@

    - + src/models/set_tmp.js @@ -3601,7 +3607,7 @@

    - + src/models/set_tmp.js @@ -3722,7 +3728,7 @@

    - + src/models/set_tmp.js @@ -3938,7 +3944,7 @@

    - + src/models/wc.js @@ -4075,7 +4081,7 @@

    - + src/models/adaptive_en.js @@ -4208,7 +4214,7 @@

    - + src/models/adaptive_en.js @@ -4399,7 +4405,7 @@

    - + src/models/adaptive_en.js @@ -4532,7 +4538,7 @@

    - + src/models/adaptive_en.js @@ -4714,7 +4720,7 @@

    - + src/models/at.js @@ -4876,7 +4882,7 @@

    - + src/models/pmv_ppd.js @@ -5056,7 +5062,7 @@

    - + src/models/pmv_ppd.js @@ -5158,7 +5164,7 @@

    - + src/models/pmv_ppd.js @@ -5291,7 +5297,7 @@

    - + src/models/pmv_ppd.js @@ -5470,7 +5476,7 @@

    - + src/models/pmv_ppd.js @@ -5603,7 +5609,7 @@

    - + src/models/adaptive_ashrae.js @@ -5743,7 +5749,7 @@

    - + src/models/adaptive_ashrae.js @@ -5923,7 +5929,7 @@

    - + src/models/adaptive_ashrae.js @@ -6063,7 +6069,7 @@

    - + src/models/adaptive_ashrae.js @@ -6243,7 +6249,7 @@

    - + src/models/solar_gain.js @@ -6413,7 +6419,7 @@

    - + src/models/solar_gain.js @@ -6528,7 +6534,7 @@

    - + src/models/cooling_effect.js @@ -6712,7 +6718,7 @@

    - + src/models/athb.js @@ -6877,7 +6883,7 @@

    - + src/models/athb.js @@ -7043,7 +7049,7 @@

    - + src/models/pmv.js @@ -7219,7 +7225,7 @@

    - + src/models/pmv.js @@ -7371,7 +7377,7 @@

    - + src/models/pmv.js @@ -7590,7 +7596,7 @@

    - + src/models/a_pmv.js @@ -7753,7 +7759,7 @@

    - + src/models/a_pmv.js @@ -7888,7 +7894,7 @@

    - + src/models/a_pmv.js @@ -8091,7 +8097,7 @@

    - + src/models/ankle_draft.js @@ -8246,7 +8252,7 @@

    - + src/models/ankle_draft.js @@ -8359,7 +8365,7 @@

    - + src/models/e_pmv.js @@ -8523,7 +8529,7 @@

    - + src/models/e_pmv.js @@ -8660,7 +8666,7 @@

    - + src/models/e_pmv.js @@ -8866,7 +8872,7 @@

    - + src/models/vertical_tmp_grad_ppd.js @@ -9008,7 +9014,7 @@

    - + src/models/vertical_tmp_grad_ppd.js @@ -9121,7 +9127,7 @@

    - + src/models/use_fans_heatwave.js @@ -9307,7 +9313,7 @@

    - + src/models/use_fans_heatwave.js @@ -9400,7 +9406,7 @@

    - + src/models/use_fans_heatwave.js @@ -9636,7 +9642,7 @@

    - + src/models/clo_tout.js @@ -9746,7 +9752,7 @@

    - + src/models/clo_tout.js @@ -9856,7 +9862,7 @@

    - + src/models/utci.js @@ -10027,7 +10033,7 @@

    - + src/models/utci.js @@ -10200,7 +10206,7 @@

    - + src/models/pet_steady.js @@ -10399,6 +10405,192 @@

    + + + +

    +

    + +
    +
    +
    + + JOS3 + +
    +
    +
    +
    + + +
    + + + + src/models/JOS3.js + + +
    + + +

    JOS-3 model simulates human thermal physiology including skin +temperature, core temperature, sweating rate, etc. for the whole body and +17 local body parts.

    +

    This model was developed at Shin-ichi Tanabe Laboratory, Waseda University +and was derived from 65 Multi-Node model (https://doi.org/10.1016/S0378-7788(02)00014-2) +and JOS-2 model (https://doi.org/10.1016/j.buildenv.2013.04.013).

    +

    To use this model, create an instance of the JOS3 class with optional body parameters +such as body height, weight, age, sex, etc.

    +

    Environmental conditions such as air temperature, mean radiant temperature, air velocity, etc. +can be set using the setter methods. (ex. X.tdb, X.tr X.v) +If you want to set the different conditions in each body part, set them +as a 17 lengths of list, dictionary, or numpy array format.

    +

    List or numpy array format input must be 17 lengths and means the order of "head", "neck", "chest", +"back", "pelvis", "left_shoulder", "left_arm", "left_hand", "right_shoulder", "right_arm", +"right_hand", "left_thigh", "left_leg", "left_foot", "right_thigh", "right_leg" and "right_foot".

    +

    The model output includes local and mean skin temperature, local core temperature, +local and mean skin wettedness, and heat loss from the skin etc. +The model output can be accessed using "dict_results()" method and be converted to a csv file +using "to_csv" method. +Each output parameter also can be accessed using getter methods. +(ex. X.t_skin, X.t_skin_mean, X.t_core)

    +

    If you use this package, please cite us as follows and mention the version of pythermalcomfort used: +Y. Takahashi, A. Nomoto, S. Yoda, R. Hisayama, M. Ogata, Y. Ozeki, S. Tanabe, +Thermoregulation Model JOS-3 with New Open Source Code, Energy & Buildings (2020), +doi: https://doi.org/10.1016/j.enbuild.2020.110575

    +

    Note: To maintain consistency in variable names for jsthermalcomfort and pythermalcomfort, +some variable names differ from those used in the original paper.

    + + + + + + + + + + + + + +
    Parameters
    +
    + +
    +
    + height (number? + = JOS3Defaults.height) + body height, in [m]. + +
    + +
    + +
    +
    + weight (number? + = JOS3Defaults.weight) + body weight, in [kg]. + +
    + +
    + +
    +
    + fat (number? + = JOS3Defaults.body_fat) + fat percentage, in [%]. + +
    + +
    + +
    +
    + age (number? + = JOS3Defaults.age) + age, in [years]. + +
    + +
    + +
    +
    + sex (("male" | "female")? + = JOS3Defaults.sex) + sex. + +
    + +
    + +
    +
    + ci (number? + = JOS3Defaults.cardiac_index) + Cardiac index, in [L/min/m2]. + +
    + +
    + +
    +
    + bmr_equation (("harris-benedict" | "harris-benedict_origin" | "japanese" | "ganpule")? + = JOS3Defaults.bmr_equation) + The equation used +to calculate basal metabolic rate (BMR). + +
    + +
    + +
    +
    + bsa_equation (("dubois" | "fujimoto" | "kruazumi" | "takahira")? + = JOS3Defaults.bsa_equation) + The equation used to calculate body +surface area (bsa). + +
    + +
    + +
    +
    + ex_output (([] | "all")? + = []) + This is used when you want to display results other than the default output +parameters (ex.skin temperature); by default, JOS outputs only the most necessary parameters in order to reduce +the computational load. + +
    + +
    + +
    + + + + + + + + + + + + + + + + + + + +
    @@ -10434,7 +10626,7 @@

    - + src/psychrometrics/index.js @@ -10485,7 +10677,7 @@

    - + src/psychrometrics/p_sat.js @@ -10568,7 +10760,7 @@

    - + src/psychrometrics/p_sat_torr.js @@ -10660,7 +10852,7 @@

    - + src/psychrometrics/p_sat_torr.js @@ -10752,7 +10944,7 @@

    - + src/psychrometrics/t_o.js @@ -10872,7 +11064,7 @@

    - + src/psychrometrics/t_o.js @@ -10992,7 +11184,7 @@

    - + src/psychrometrics/enthalpy.js @@ -11084,7 +11276,7 @@

    - + src/psychrometrics/t_wb.js @@ -11176,7 +11368,7 @@

    - + src/psychrometrics/t_mrt.js @@ -11324,7 +11516,7 @@

    - + src/psychrometrics/t_mrt.js @@ -11464,7 +11656,7 @@

    - + src/psychrometrics/psy_ta_rh.js @@ -11551,7 +11743,7 @@

    - + src/psychrometrics/psy_ta_rh.js @@ -11700,7 +11892,7 @@

    - + src/utilities/index.js @@ -11751,7 +11943,7 @@

    - + src/utilities/utilities.js @@ -11853,7 +12045,7 @@

    - + src/utilities/utilities.js @@ -11957,7 +12149,7 @@

    - + src/utilities/utilities.js @@ -12061,7 +12253,7 @@

    - + src/utilities/utilities.js @@ -12177,7 +12369,7 @@

    - + src/utilities/utilities.js @@ -12293,7 +12485,7 @@

    - + src/utilities/utilities.js @@ -12395,7 +12587,7 @@

    - + src/utilities/utilities.js @@ -12497,7 +12689,7 @@

    - + src/utilities/utilities.js @@ -12616,7 +12808,7 @@

    - + src/utilities/utilities.js @@ -12731,7 +12923,7 @@

    - + src/utilities/index.js @@ -12782,7 +12974,7 @@

    - + src/utilities/utilities.js @@ -13078,7 +13270,7 @@

    - + src/utilities/utilities.js @@ -13178,7 +13370,7 @@

    - + src/utilities/utilities.js diff --git a/package-lock.json b/package-lock.json index 8fb6db4..11a4096 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,17 +1,18 @@ { "name": "jsthermalcomfort", - "version": "0.1.4", + "version": "0.1.5", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "jsthermalcomfort", - "version": "0.1.4", + "version": "0.1.5", "license": "MIT", "dependencies": { "mathjs": "^11.11.2" }, "devDependencies": { + "@jest/globals": "^29.7.0", "documentation": "^14.0.2", "github-slugger": "^2.0.0", "highlight.js": "^11.8.0", @@ -764,37 +765,37 @@ } }, "node_modules/@jest/environment": { - "version": "29.6.4", - "resolved": "https://registry.npmjs.org/@jest/environment/-/environment-29.6.4.tgz", - "integrity": "sha512-sQ0SULEjA1XUTHmkBRl7A1dyITM9yb1yb3ZNKPX3KlTd6IG7mWUe3e2yfExtC2Zz1Q+mMckOLHmL/qLiuQJrBQ==", + "version": "29.7.0", + "resolved": "https://registry.npmjs.org/@jest/environment/-/environment-29.7.0.tgz", + "integrity": "sha512-aQIfHDq33ExsN4jP1NWGXhxgQ/wixs60gDiKO+XVMd8Mn0NWPWgc34ZQDTb2jKaUWQ7MuwoitXAsN2XVXNMpAw==", "dev": true, "dependencies": { - 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"version": "0.1.5", + "version": "0.2.0", "description": "A JavaScript package to calculate thermophysiological, thermal comfort, thermal stress indices", "type": "module", "files": [ @@ -51,7 +51,8 @@ "jsdoc": "^4.0.2", "lodash": "^4.17.21", "prettier": "3.0.2", - "typescript": "^5.1.6" + "typescript": "^5.1.6", + "@jest/globals": "^29.7.0" }, "dependencies": { "mathjs": "^11.11.2" diff --git a/src/jos3_functions/bfb_rate.js b/src/jos3_functions/bfb_rate.js index a7c6d8a..e7b0522 100644 --- a/src/jos3_functions/bfb_rate.js +++ b/src/jos3_functions/bfb_rate.js @@ -1,6 +1,7 @@ import JOS3Defaults from "./JOS3Defaults.js"; import { bsa_rate } from "./bsa_rate.js"; import { validate_body_parameters } from "./validate_body_parameters.js"; +import * as math from "mathjs"; /** * Calculate the ratio of basal blood flow (BFB) of the standard body (290 L/h). @@ -38,6 +39,7 @@ export function bfb_rate( const bfb_all = ci * bsa_rate(height, weight, bsa_equation) * - JOS3Defaults.local_bsa.reduce((t, c) => t + c, 0); + math.sum(JOS3Defaults.local_bsa); + return bfb_all / JOS3Defaults.blood_flow_rate; } diff --git a/src/jos3_functions/conductance.js b/src/jos3_functions/conductance.js index bd91b34..5278417 100644 --- a/src/jos3_functions/conductance.js +++ b/src/jos3_functions/conductance.js @@ -3,10 +3,7 @@ import { validate_body_parameters } from "./validate_body_parameters.js"; import { weight_rate } from "./weight_rate.js"; import { bsa_rate } from "./bsa_rate.js"; import { NUM_NODES, BODY_NAMES, IDICT } from "./matrix.js"; - -function maprange(array, from, to, op) { - return array.map((x, i) => (i >= from && i < to ? op(x) : x)); -} +import * as math from "mathjs"; /** * Calculate thermal conductance between layers. @@ -16,7 +13,7 @@ function maprange(array, from, to, op) { * @param {string} bsa_equation - The equation name (str) of bsa calculation. Choose a name from "dubois", "takahira", "fujimoto", or "kurazumi". Default is "dubois". * @param {number} fat - Body fat rate in [%]. Default is 15. - * @returns {number[][]} conductance - Thermal conductance between layers in [W/K]. The shape is (NUM_NODES, NUM_NODES). + * @returns {math.Matrix} conductance - Thermal conductance between layers in [W/K]. The shape is (NUM_NODES, NUM_NODES). */ export function conductance( height = JOS3Defaults.height, @@ -28,44 +25,44 @@ export function conductance( let cdt_cr_sk; if (fat < 12.5) { - cdt_cr_sk = [ + cdt_cr_sk = math.matrix([ 1.341, 0.93, 1.879, 1.729, 2.37, 1.557, 1.018, 2.21, 1.557, 1.018, 2.21, 2.565, 1.378, 3.404, 2.565, 1.378, 3.404, - ]; + ]); } else if (fat < 17.5) { - cdt_cr_sk = [ + cdt_cr_sk = math.matrix([ 1.311, 0.909, 1.785, 1.643, 2.251, 1.501, 0.982, 2.183, 1.501, 0.982, 2.183, 2.468, 1.326, 3.37, 2.468, 1.326, 3.37, - ]; + ]); } else if (fat < 22.5) { - cdt_cr_sk = [ + cdt_cr_sk = math.matrix([ 1.282, 0.889, 1.698, 1.563, 2.142, 1.448, 0.947, 2.156, 1.448, 0.947, 2.156, 2.375, 1.276, 3.337, 2.375, 1.276, 3.337, - ]; + ]); } else if (fat < 27.5) { - cdt_cr_sk = [ + cdt_cr_sk = math.matrix([ 1.255, 0.87, 1.618, 1.488, 2.04, 1.396, 0.913, 2.13, 1.396, 0.913, 2.13, 2.285, 1.227, 3.304, 2.285, 1.227, 3.304, - ]; + ]); } else { // fat >= 27.5 - cdt_cr_sk = [ + cdt_cr_sk = math.matrix([ 1.227, 0.852, 1.542, 1.419, 1.945, 1.346, 0.88, 1.945, 1.346, 0.88, 1.945, 2.198, 1.181, 3.271, 2.198, 1.181, 3.271, - ]; + ]); } - let cdt_cr_ms = Array(17).fill(0); // core to muscle [W/K] - let cdt_ms_fat = Array(17).fill(0); // muscle to fat [W/K] - let cdt_fat_sk = Array(17).fill(0); // fat to skin [W/K] + let cdt_cr_ms = math.zeros(17); // core to muscle [W/K] + let cdt_ms_fat = math.zeros(17); // muscle to fat [W/K] + let cdt_fat_sk = math.zeros(17); // fat to skin [W/K] // head and pelvis consists of 65MN's conductances - cdt_cr_ms[0] = 1.601; // head - cdt_ms_fat[0] = 13.222; - cdt_fat_sk[0] = 16.008; - cdt_cr_ms[4] = 3.0813; // pelvis - cdt_ms_fat[4] = 10.3738; - cdt_fat_sk[4] = 41.4954; + cdt_cr_ms.set([0], 1.601); // head + cdt_ms_fat.set([0], 13.222); + cdt_fat_sk.set([0], 16.008); + cdt_cr_ms.set([4], 3.0813); // pelvis + cdt_ms_fat.set([4], 10.3738); + cdt_fat_sk.set([4], 41.4954); // vessel to core // The shape is a cylinder. @@ -73,53 +70,62 @@ export function conductance( // stolwijk's core radius. // The heat transfer coefficient of the core is assumed as the Michel's // counter-flow model 0.66816 [W/(m･K)]. - let cdt_ves_cr = [ + let cdt_ves_cr = math.matrix([ 0, 0, 0, 0, 0, 0.586, 0.383, 1.534, 0.586, 0.383, 1.534, 0.81, 0.435, 1.816, 0.81, 0.435, 1.816, - ]; + ]); // superficial vein to skin - let cdt_sfv_sk = [ + let cdt_sfv_sk = math.matrix([ 0, 0, 0, 0, 0, 57.735, 37.768, 16.634, 57.735, 37.768, 16.634, 102.012, 54.784, 24.277, 102.012, 54.784, 24.277, - ]; + ]); // art to vein (counter-flow) [W/K] // The data has been derived Mitchell's model. // The values = 15.869 [W/(m･K)] * the segment length [m] - let cdt_art_vein = [ + let cdt_art_vein = math.matrix([ 0, 0, 0, 0, 0, 0.537, 0.351, 0.762, 0.537, 0.351, 0.762, 0.826, 0.444, 0.992, 0.826, 0.444, 0.992, - ]; + ]); // Changes values by body size based on the standard body. const wr = weight_rate(weight); const bsar = bsa_rate(height, weight, bsa_equation); - const adjustSphere = (x) => (x * wr) / bsar; - const adjustCylinder = (x) => (x * Math.pow(bsar, 2)) / wr; + const adjustSphere = (matrix, range) => { + let index = math.index(math.range(0, 2)); + let subset = math.subset(matrix, index); + subset = math.dotDivide(math.dotMultiply(subset, wr), bsar); + return math.subset(matrix, index, subset); + }; + + const adjustCylinder = (matrix) => { + let index = math.index(math.range(2, matrix.size()[0])); + let subset = math.subset(matrix, index); + subset = math.dotDivide(math.dotMultiply(subset, bsar ** 2), wr); + return math.subset(matrix, index, subset); + }; // head, neck (Sphere shape) - cdt_cr_sk = maprange(cdt_cr_sk, 0, 2, adjustSphere); - cdt_cr_ms = maprange(cdt_cr_ms, 0, 2, adjustSphere); - cdt_ms_fat = maprange(cdt_ms_fat, 0, 2, adjustSphere); - cdt_fat_sk = maprange(cdt_fat_sk, 0, 2, adjustSphere); - cdt_ves_cr = maprange(cdt_ves_cr, 0, 2, adjustSphere); - cdt_sfv_sk = maprange(cdt_sfv_sk, 0, 2, adjustSphere); - cdt_art_vein = maprange(cdt_art_vein, 0, 2, adjustSphere); + cdt_cr_sk = adjustSphere(cdt_cr_sk); + cdt_cr_ms = adjustSphere(cdt_cr_ms); + cdt_ms_fat = adjustSphere(cdt_ms_fat); + cdt_fat_sk = adjustSphere(cdt_fat_sk); + cdt_ves_cr = adjustSphere(cdt_ves_cr); + cdt_sfv_sk = adjustSphere(cdt_sfv_sk); + cdt_art_vein = adjustSphere(cdt_art_vein); // Others (Cylinder shape) - cdt_cr_sk = maprange(cdt_cr_sk, 2, cdt_cr_sk.length, adjustCylinder); - cdt_cr_ms = maprange(cdt_cr_ms, 2, cdt_cr_ms.length, adjustCylinder); - cdt_ms_fat = maprange(cdt_ms_fat, 2, cdt_ms_fat.length, adjustCylinder); - cdt_fat_sk = maprange(cdt_fat_sk, 2, cdt_fat_sk.length, adjustCylinder); - cdt_ves_cr = maprange(cdt_ves_cr, 2, cdt_ves_cr.length, adjustCylinder); - cdt_sfv_sk = maprange(cdt_sfv_sk, 2, cdt_sfv_sk.length, adjustCylinder); - cdt_art_vein = maprange(cdt_art_vein, 2, cdt_art_vein.length, adjustCylinder); - - const cdt_whole = Array(NUM_NODES) - .fill() - .map(() => Array(NUM_NODES).fill(0)); + cdt_cr_sk = adjustCylinder(cdt_cr_sk); + cdt_cr_ms = adjustCylinder(cdt_cr_ms); + cdt_ms_fat = adjustCylinder(cdt_ms_fat); + cdt_fat_sk = adjustCylinder(cdt_fat_sk); + cdt_ves_cr = adjustCylinder(cdt_ves_cr); + cdt_sfv_sk = adjustCylinder(cdt_sfv_sk); + cdt_art_vein = adjustCylinder(cdt_art_vein); + + const cdt_whole = math.zeros(NUM_NODES, NUM_NODES); for (let i = 0; i < BODY_NAMES.length; i++) { const bn = BODY_NAMES[i]; @@ -128,26 +134,32 @@ export function conductance( const index_of = IDICT[bn]; // Common - cdt_whole[index_of["artery"]][index_of["vein"]] = cdt_art_vein[i]; // art to vein - cdt_whole[index_of["artery"]][index_of["core"]] = cdt_ves_cr[i]; // art to cr - cdt_whole[index_of["vein"]][index_of["core"]] = cdt_ves_cr[i]; // vein to cr + cdt_whole.set( + [index_of["artery"], index_of["vein"]], + cdt_art_vein.get([i]), + ); // art to vein + cdt_whole.set([index_of["artery"], index_of["core"]], cdt_ves_cr.get([i])); // art to cr + cdt_whole.set([index_of["vein"], index_of["core"]], cdt_ves_cr.get([i])); // vein to cr // Only limbs if (i >= 5) { - cdt_whole[index_of["sfvein"]][index_of["skin"]] = cdt_sfv_sk[i]; // sfv to sk + cdt_whole.set( + [index_of["sfvein"], index_of["skin"]], + cdt_sfv_sk.get([i]), + ); // sfv to sk } // If the segment has a muscle or fat layer if (index_of["muscle"] !== null) { // or not indexof["fat"] is None - cdt_whole[index_of["core"]][index_of["muscle"]] = cdt_cr_ms[i]; // cr to ms - cdt_whole[index_of["muscle"]][index_of["fat"]] = cdt_ms_fat[i]; // ms to fat - cdt_whole[index_of["fat"]][index_of["skin"]] = cdt_fat_sk[i]; // fat to sk + cdt_whole.set([index_of["core"], index_of["muscle"]], cdt_cr_ms.get([i])); // cr to ms + cdt_whole.set([index_of["muscle"], index_of["fat"]], cdt_ms_fat.get([i])); // ms to fat + cdt_whole.set([index_of["fat"], index_of["skin"]], cdt_fat_sk.get([i])); // fat to sk } else { - cdt_whole[index_of["core"]][index_of["skin"]] = cdt_cr_sk[i]; // cr to sk + cdt_whole.set([index_of["core"], index_of["skin"]], cdt_cr_sk.get([i])); // cr to sk } } // Creates a symmetrical matrix - return cdt_whole.map((row, i) => row.map((val, j) => val + cdt_whole[j][i])); + return math.add(cdt_whole, math.transpose(cdt_whole)); } diff --git a/src/jos3_functions/local_bsa.js b/src/jos3_functions/local_bsa.js index 02ad1c0..56f1f6a 100644 --- a/src/jos3_functions/local_bsa.js +++ b/src/jos3_functions/local_bsa.js @@ -1,6 +1,7 @@ import JOS3Defaults from "./JOS3Defaults.js"; import { validate_body_parameters } from "./validate_body_parameters.js"; import { bsa_rate } from "./bsa_rate.js"; +import * as math from "mathjs"; /** * Calculate local body surface area (bsa) [m2]. @@ -15,7 +16,8 @@ import { bsa_rate } from "./bsa_rate.js"; * @param {string} [bsa_equation=JOS3Defaults.bsa_equation] - The equation name * of bsa calculation. Choose a name from "dubois", "takahira", "fujimoto", * or "kurazumi". - * @returns {number[]} local_bsa of length 17 - Local body surface area (bsa) [m2] + * + * @returns {math.Matrix} local_bsa of length 17 - Local body surface area (bsa) [m2] */ export function local_bsa( height = JOS3Defaults.height, @@ -25,5 +27,5 @@ export function local_bsa( validate_body_parameters(height, weight); const bsa = bsa_rate(height, weight, bsa_equation); - return JOS3Defaults.local_bsa.map((local_bsa) => local_bsa * bsa); + return math.matrix(math.dotMultiply(JOS3Defaults.local_bsa, bsa)); } diff --git a/src/jos3_functions/matrix.js b/src/jos3_functions/matrix.js index 4edcf9f..5f659ff 100644 --- a/src/jos3_functions/matrix.js +++ b/src/jos3_functions/matrix.js @@ -1,4 +1,4 @@ -import { $array, $map, $reduce, $sum } from "../supa.js"; +import * as math from "mathjs"; export const BODY_NAMES = [ "head", @@ -86,17 +86,24 @@ export const [IDICT, NUM_NODES] = (() => { return [index_dict, order_count]; })(); +/** + * @typedef VesselBloodFlowResult + * @type {object} + * @property {math.MathCollection} bf_art - Artery blood flow rate [l/h]. + * @property {math.MathCollection} bf_vein - Vein blood flow rate [l/h]. + */ + /** * Get artery and vein blood flow rate [l/h]. * - * @param {number[]} bf_core - Core blood flow rate [l/h]. - * @param {number[]} bf_muscle - Muscle blood flow rate [l/h]. - * @param {number[]} bf_fat - Fat blood flow rate [l/h]. - * @param {number[]} bf_skin - Skin blood flow rate [l/h]. + * @param {math.MathCollection} bf_core - Core blood flow rate [l/h]. + * @param {math.MathCollection} bf_muscle - Muscle blood flow rate [l/h]. + * @param {math.MathCollection} bf_fat - Fat blood flow rate [l/h]. + * @param {math.MathCollection} bf_skin - Skin blood flow rate [l/h]. * @param {number} bf_ava_hand - AVA blood flow rate at hand [l/h]. * @param {number} bf_ava_foot - AVA blood flow rate at foot [l/h]. * - * @returns {[number[], number[]]} bf_artery, bf_vein - Artery and vein blood flow rate [l/h]. + * @returns {VesselBloodFlowResult} bf_artery, bf_vein - Artery and vein blood flow rate [l/h]. */ export function vessel_blood_flow( bf_core, @@ -106,92 +113,127 @@ export function vessel_blood_flow( bf_ava_hand, bf_ava_foot, ) { - let xbf = $map( - [bf_core, bf_muscle, bf_fat, bf_skin], - ([bf_core, bf_muscle, bf_fat, bf_skin]) => - bf_core + bf_muscle + bf_fat + bf_skin, - ); + let xbf = math.add(bf_core, bf_muscle, bf_fat, bf_skin); - let bf_art = $array(17, 0); - let bf_vein = $array(17, 0); + let bf_art = math.zeros(17); + let bf_vein = math.zeros(17); // head - bf_art[0] = xbf[0]; - bf_vein[0] = xbf[0]; + bf_art.set([0], xbf.get([0])); + bf_vein.set([0], xbf.get([0])); // neck (+head) - bf_art[1] = xbf[1] + xbf[0]; - bf_vein[1] = xbf[1] + xbf[0]; + bf_art.set([1], xbf.get([1]) + xbf.get([0])); + bf_vein.set([1], xbf.get([1]) + xbf.get([0])); // chest - bf_art[2] = xbf[2]; - bf_vein[2] = xbf[2]; + bf_art.set([2], xbf.get([2])); + bf_vein.set([2], xbf.get([2])); // back - bf_art[3] = xbf[3]; - bf_vein[3] = xbf[3]; + bf_art.set([3], xbf.get([3])); + bf_vein.set([3], xbf.get([3])); // pelvis (+Thighs, Legs, Feet, AVA_Feet) - bf_art[4] = xbf[4] + $sum(xbf.slice(11, 17)) + 2 * bf_ava_foot; - bf_vein[4] = xbf[4] + $sum(xbf.slice(11, 17)) + 2 * bf_ava_foot; + bf_art.set( + [4], + xbf.get([4]) + + math.sum(xbf.subset(math.index(math.range(11, 17)))) + + 2 * bf_ava_foot, + ); + bf_vein.set( + [4], + xbf.get([4]) + + math.sum(xbf.subset(math.index(math.range(11, 17)))) + + 2 * bf_ava_foot, + ); // L.Shoulder (+Arm, Hand, (arteryのみAVA_Hand)) - bf_art[5] = $sum(xbf.slice(5, 8)) + bf_ava_hand; - bf_vein[5] = $sum(xbf.slice(5, 8)); + bf_art.set( + [5], + math.sum(xbf.subset(math.index(math.range(5, 8)))) + bf_ava_hand, + ); + bf_vein.set([5], math.sum(xbf.subset(math.index(math.range(5, 8))))); // L.Arm (+Hand) - bf_art[6] = $sum(xbf.slice(6, 8)) + bf_ava_hand; - bf_vein[6] = $sum(xbf.slice(6, 8)); + bf_art.set( + [6], + math.sum(xbf.subset(math.index(math.range(6, 8)))) + bf_ava_hand, + ); + bf_vein.set([6], math.sum(xbf.subset(math.index(math.range(6, 8))))); + + // L.Hand + bf_art.set([7], xbf.get([7]) + bf_ava_hand); + bf_vein.set([7], xbf.get([7])); // R.Shoulder (+Arm, Hand, (arteryのみAVA_Hand)) - bf_art[8] = $sum(xbf.slice(8, 11)) + bf_ava_hand; - bf_vein[8] = $sum(xbf.slice(8, 11)); + bf_art.set( + [8], + math.sum(xbf.subset(math.index(math.range(8, 11)))) + bf_ava_hand, + ); + bf_vein.set([8], math.sum(xbf.subset(math.index(math.range(8, 11))))); // R.Arm (+Hand) - bf_art[9] = $sum(xbf.slice(9, 11)) + bf_ava_hand; - bf_vein[9] = $sum(xbf.slice(9, 11)); + bf_art.set( + [9], + math.sum(xbf.subset(math.index(math.range(9, 11)))) + bf_ava_hand, + ); + bf_vein.set([9], math.sum(xbf.subset(math.index(math.range(9, 11))))); // R.Hand - bf_art[10] = xbf[10] + bf_ava_hand; - bf_vein[10] = xbf[10]; + bf_art.set([10], xbf.get([10]) + bf_ava_hand); + bf_vein.set([10], xbf.get([10])); // L.Thigh (+Leg, Foot, (arteryのみAVA_Foot)) - bf_art[11] = $sum(xbf.slice(11, 14)) + bf_ava_foot; - bf_vein[11] = $sum(xbf.slice(11, 14)); + bf_art.set( + [11], + math.sum(xbf.subset(math.index(math.range(11, 14)))) + bf_ava_foot, + ); + bf_vein.set([11], math.sum(xbf.subset(math.index(math.range(11, 14))))); // L.Leg (+Foot) - bf_art[12] = $sum(xbf.slice(12, 14)) + bf_ava_foot; - bf_vein[12] = $sum(xbf.slice(12, 14)); + bf_art.set( + [12], + math.sum(xbf.subset(math.index(math.range(12, 14)))) + bf_ava_foot, + ); + bf_vein.set([12], math.sum(xbf.subset(math.index(math.range(12, 14))))); // L.Foot - bf_art[13] = xbf[13] + bf_ava_foot; - bf_vein[13] = xbf[13]; + bf_art.set([13], xbf.get([13]) + bf_ava_foot); + bf_vein.set([13], xbf.get([13])); // R.Thigh (+Leg, Foot, (arteryのみAVA_Foot)) - bf_art[14] = $sum(xbf.slice(14, 17)) + bf_ava_foot; - bf_vein[14] = $sum(xbf.slice(14, 17)); + bf_art.set( + [14], + math.sum(xbf.subset(math.index(math.range(14, 17)))) + bf_ava_foot, + ); + bf_vein.set([14], math.sum(xbf.subset(math.index(math.range(14, 17))))); // R.Leg (+Foot) - bf_art[15] = $sum(xbf.slice(15, 17)) + bf_ava_foot; - bf_vein[15] = $sum(xbf.slice(15, 17)); + bf_art.set( + [15], + math.sum(xbf.subset(math.index(math.range(15, 17)))) + bf_ava_foot, + ); + bf_vein.set([15], math.sum(xbf.subset(math.index(math.range(15, 17))))); // R.Foot - bf_art[16] = xbf[16] + bf_ava_foot; - bf_vein[16] = xbf[16]; + bf_art.set([16], xbf.get([16]) + bf_ava_foot); + bf_vein.set([16], xbf.get([16])); - return [bf_art, bf_vein]; + return { bf_art, bf_vein }; } /** + * Create matrix to calculate heat exchange by blood flow in each segment. * - * @param bf_core - * @param bf_muscle - * @param bf_fat - * @param bf_skin - * @param bf_ava_hand - * @param bf_ava_foot + * @param {math.MathCollection} bf_core + * @param {math.MathCollection} bf_muscle + * @param {math.MathCollection} bf_fat + * @param {math.MathCollection} bf_skin + * @param {number} bf_ava_hand + * @param {number} bf_ava_foot * - * @returns {number[][]} + * @returns {math.Matrix} The heat exchange by blood flow in each segment. */ export function local_arr( bf_core, @@ -201,9 +243,7 @@ export function local_arr( bf_ava_hand, bf_ava_foot, ) { - let bf_local = Array(NUM_NODES) - .fill() - .map(() => Array(NUM_NODES).fill(0)); + let bf_local = math.zeros(NUM_NODES, NUM_NODES); for (let i = 0; i < BODY_NAMES.length; i++) { // Dictionary of indicies in each body segment @@ -211,34 +251,66 @@ export function local_arr( let bn = BODY_NAMES[i]; let index_of = IDICT[bn]; - // common - bf_local[index_of["core"]][index_of["artery"]] = 1.067 * bf_core[i]; // art to cr - bf_local[index_of["skin"]][index_of["artery"]] = 1.067 * bf_core[i]; // art to sk - bf_local[index_of["vein"]][index_of["core"]] = 1.067 * bf_core[i]; // vein to cr - bf_local[index_of["vein"]][index_of["skin"]] = 1.067 * bf_core[i]; // vein to sk + // Common + bf_local.set( + [index_of["core"], index_of["artery"]], + 1.067 * bf_core.get([i]), + ); // art to cr + + bf_local.set( + [index_of["skin"], index_of["artery"]], + 1.067 * bf_skin.get([i]), + ); // art to sk + + bf_local.set( + [index_of["vein"], index_of["core"]], + 1.067 * bf_core.get([i]), + ); // vein to cr + + bf_local.set( + [index_of["vein"], index_of["skin"]], + 1.067 * bf_skin.get([i]), + ); // vein to sk // If the segment has a muscle or fat layer if (index_of["muscle"] !== null) { - bf_local[index_of["muscle"]][index_of["artery"]] = 1.067 * bf_muscle[i]; // art to ms - bf_local[index_of["vein"]][index_of["muscle"]] = 1.067 * bf_muscle[i]; // vein to ms + bf_local.set( + [index_of["muscle"], index_of["artery"]], + 1.067 * bf_muscle.get([i]), + ); // art to ms + + bf_local.set( + [index_of["vein"], index_of["muscle"]], + 1.067 * bf_muscle.get([i]), + ); // vein to ms } if (index_of["fat"] !== null) { - bf_local[index_of["fat"]][index_of["artery"]] = 1.067 * bf_fat[i]; // art to ft - bf_local[index_of["vein"]][index_of["fat"]] = 1.067 * bf_fat[i]; // vein to ft + bf_local.set( + [index_of["fat"], index_of["artery"]], + 1.067 * bf_fat.get([i]), + ); // art to ft + + bf_local.set( + [index_of["vein"], index_of["fat"]], + 1.067 * bf_fat.get([i]), + ); // vein to ft + } + + // Only hand + if (i === 7 || i === 10) { + bf_local.set( + [index_of["sfvein"], index_of["artery"]], + 1.067 * bf_ava_hand, + ); // art to sfv } - switch (i) { - // Only hand - case 7: - case 10: - bf_local[index_of["sfvein"]][index_of["artery"]] = 1.067 * bf_ava_hand; // art to sfv - break; - - // Only foot - case 13: - case 16: - bf_local[index_of["sfvein"]][index_of["artery"]] = 1.067 * bf_ava_foot; // art to sfv + // Only foot + if (i === 13 || i === 16) { + bf_local.set( + [index_of["sfvein"], index_of["artery"]], + 1.067 * bf_ava_foot, + ); // art to sfv } } @@ -247,17 +319,19 @@ export function local_arr( /** * Create matrix to calculate heat exchange by blood flow between segments. [W/K] - * @param bf_art - * @param bf_vein - * @param bf_ava_hand - * @param bf_ava_foot + * + * @param {math.MathCollection} bf_art + * @param {math.MathCollection} bf_vein + * @param {number} bf_ava_hand + * @param {number} bf_ava_foot + * + * @return {math.Matrix} */ export function whole_body(bf_art, bf_vein, bf_ava_hand, bf_ava_foot) { - let arr83 = Array(NUM_NODES) - .fill(undefined) - .map(() => Array(NUM_NODES).fill(0)); + let arr83 = math.zeros(NUM_NODES, NUM_NODES); - const flow = (up, down, bloodflow) => (arr83[down][up] = bloodflow * 1.067); // Coefficient = 1.067 [Wh/L.K] Change units [L/h] to [W/K] + const flow = (up, down, bloodflow) => + arr83.set([down, up], bloodflow * 1.067); // Coefficient = 1.067 [Wh/L.K] Change units [L/h] to [W/K] const CB = IDICT["CB"]; const head = IDICT["head"]["artery"]; @@ -278,56 +352,56 @@ export function whole_body(bf_art, bf_vein, bf_ava_hand, bf_ava_foot) { const right_leg = IDICT["right_leg"]["artery"]; const right_foot = IDICT["right_foot"]["artery"]; - flow(CB, neck, bf_art[1]); // CB to neck.art - flow(neck, head, bf_art[0]); // neck.art to head.art - flow(head + 1, neck + 1, bf_vein[0]); // head.vein to neck.vein - flow(neck + 1, CB, bf_vein[1]); // neck.vein to CB + flow(CB, neck, bf_art.get([1])); // CB to neck.art + flow(neck, head, bf_art.get([0])); // neck.art to head.art + flow(head + 1, neck + 1, bf_vein.get([0])); // head.vein to neck.vein + flow(neck + 1, CB, bf_vein.get([1])); // neck.vein to CB - flow(CB, chest, bf_art[2]); // CB to chest.art - flow(chest + 1, CB, bf_vein[2]); // chest.vein to CB + flow(CB, chest, bf_art.get([2])); // CB to chest.art + flow(chest + 1, CB, bf_vein.get([2])); // chest.vein to CB - flow(CB, back, bf_art[3]); // CB to back.art - flow(back + 1, CB, bf_vein[3]); // back.vein to CB + flow(CB, back, bf_art.get([3])); // CB to back.art + flow(back + 1, CB, bf_vein.get([3])); // back.vein to CB - flow(CB, pelvis, bf_art[4]); // CB to pelvis.art - flow(pelvis + 1, CB, bf_vein[4]); // pelvis.vein to CB + flow(CB, pelvis, bf_art.get([4])); // CB to pelvis.art + flow(pelvis + 1, CB, bf_vein.get([4])); // pelvis.vein to CB - flow(CB, left_shoulder, bf_art[5]); // CB to left_shoulder.art - flow(left_shoulder, left_arm, bf_art[6]); // left_shoulder.art to left_arm.art - flow(left_arm, left_hand, bf_art[7]); // left_arm.art to left_hand.art - flow(left_hand + 1, left_arm + 1, bf_vein[7]); // left_hand.vein to left_arm.vein - flow(left_arm + 1, left_shoulder + 1, bf_vein[6]); // left_arm.vein to left_shoulder.vein - flow(left_shoulder + 1, CB, bf_vein[5]); // left_shoulder.vein to CB + flow(CB, left_shoulder, bf_art.get([5])); // CB to left_shoulder.art + flow(left_shoulder, left_arm, bf_art.get([6])); // left_shoulder.art to left_arm.art + flow(left_arm, left_hand, bf_art.get([7])); // left_arm.art to left_hand.art + flow(left_hand + 1, left_arm + 1, bf_vein.get([7])); // left_hand.vein to left_arm.vein + flow(left_arm + 1, left_shoulder + 1, bf_vein.get([6])); // left_arm.vein to left_shoulder.vein + flow(left_shoulder + 1, CB, bf_vein.get([5])); // left_shoulder.vein to CB flow(left_hand + 2, left_arm + 2, bf_ava_hand); // left_hand.sfvein to left_arm.sfvein flow(left_arm + 2, left_shoulder + 2, bf_ava_hand); // left_arm.sfvein to left_shoulder.sfvein flow(left_shoulder + 2, CB, bf_ava_hand); // left_shoulder.sfvein to CB - flow(CB, right_shoulder, bf_art[8]); // CB to right_shoulder.art - flow(right_shoulder, right_arm, bf_art[9]); // right_shoulder.art to right_arm.art - flow(right_arm, right_hand, bf_art[10]); // right_arm.art to right_hand.art - flow(right_hand + 1, right_arm + 1, bf_vein[10]); // right_hand.vein to right_arm.vein - flow(right_arm + 1, right_shoulder + 1, bf_vein[9]); // right_arm.vein to right_shoulder.vein - flow(right_shoulder + 1, CB, bf_vein[8]); // right_shoulder.vein to CB + flow(CB, right_shoulder, bf_art.get([8])); // CB to right_shoulder.art + flow(right_shoulder, right_arm, bf_art.get([9])); // right_shoulder.art to right_arm.art + flow(right_arm, right_hand, bf_art.get([10])); // right_arm.art to right_hand.art + flow(right_hand + 1, right_arm + 1, bf_vein.get([10])); // right_hand.vein to right_arm.vein + flow(right_arm + 1, right_shoulder + 1, bf_vein.get([9])); // right_arm.vein to right_shoulder.vein + flow(right_shoulder + 1, CB, bf_vein.get([8])); // right_shoulder.vein to CB flow(right_hand + 2, right_arm + 2, bf_ava_hand); // right_hand.sfvein to right_arm.sfvein flow(right_arm + 2, right_shoulder + 2, bf_ava_hand); // right_arm.sfvein to right_shoulder.sfvein flow(right_shoulder + 2, CB, bf_ava_hand); // right_shoulder.sfvein to CB - flow(pelvis, left_thigh, bf_art[11]); // pelvis to left_thigh.art - flow(left_thigh, left_leg, bf_art[12]); // left_thigh.art to left_leg.art - flow(left_leg, left_foot, bf_art[13]); // left_leg.art to left_foot.art - flow(left_foot + 1, left_leg + 1, bf_vein[13]); // left_foot.vein to left_leg.vein - flow(left_leg + 1, left_thigh + 1, bf_vein[12]); // left_leg.vein to left_thigh.vein - flow(left_thigh + 1, pelvis + 1, bf_vein[11]); // left_thigh.vein to pelvis + flow(pelvis, left_thigh, bf_art.get([11])); // pelvis to left_thigh.art + flow(left_thigh, left_leg, bf_art.get([12])); // left_thigh.art to left_leg.art + flow(left_leg, left_foot, bf_art.get([13])); // left_leg.art to left_foot.art + flow(left_foot + 1, left_leg + 1, bf_vein.get([13])); // left_foot.vein to left_leg.vein + flow(left_leg + 1, left_thigh + 1, bf_vein.get([12])); // left_leg.vein to left_thigh.vein + flow(left_thigh + 1, pelvis + 1, bf_vein.get([11])); // left_thigh.vein to pelvis flow(left_foot + 2, left_leg + 2, bf_ava_foot); // left_foot.sfvein to left_leg.sfvein flow(left_leg + 2, left_thigh + 2, bf_ava_foot); // left_leg.sfvein to left_thigh.sfvein flow(left_thigh + 2, pelvis + 1, bf_ava_foot); // left_thigh.vein to pelvis - flow(pelvis, right_thigh, bf_art[14]); // pelvis to right_thigh.art - flow(right_thigh, right_leg, bf_art[15]); // right_thigh.art to right_leg.art - flow(right_leg, right_foot, bf_art[16]); // right_leg.art to right_foot.art - flow(right_foot + 1, right_leg + 1, bf_vein[16]); // right_foot.vein to right_leg.vein - flow(right_leg + 1, right_thigh + 1, bf_vein[15]); // right_leg.vein to right_thigh.vein - flow(right_thigh + 1, pelvis + 1, bf_vein[14]); // right_thigh.vein to pelvis + flow(pelvis, right_thigh, bf_art.get([14])); // pelvis to right_thigh.art + flow(right_thigh, right_leg, bf_art.get([15])); // right_thigh.art to right_leg.art + flow(right_leg, right_foot, bf_art.get([16])); // right_leg.art to right_foot.art + flow(right_foot + 1, right_leg + 1, bf_vein.get([16])); // right_foot.vein to right_leg.vein + flow(right_leg + 1, right_thigh + 1, bf_vein.get([15])); // right_leg.vein to right_thigh.vein + flow(right_thigh + 1, pelvis + 1, bf_vein.get([14])); // right_thigh.vein to pelvis flow(right_foot + 2, right_leg + 2, bf_ava_foot); // right_foot.sfvein to right_leg.sfvein flow(right_leg + 2, right_thigh + 2, bf_ava_foot); // right_leg.sfvein to right_thigh.sfvein flow(right_thigh + 2, pelvis + 1, bf_ava_foot); // right_thigh.vein to pelvis diff --git a/src/jos3_functions/thermoregulation/ava_blood_flow.js b/src/jos3_functions/thermoregulation/ava_blood_flow.js index 4b4d705..386e2f2 100644 --- a/src/jos3_functions/thermoregulation/ava_blood_flow.js +++ b/src/jos3_functions/thermoregulation/ava_blood_flow.js @@ -1,20 +1,28 @@ import { $average } from "../../supa.js"; import JOS3Defaults from "../JOS3Defaults.js"; import { bfb_rate } from "../bfb_rate.js"; +import * as math from "mathjs"; + +/** + * @typedef AvaBloodFlowResult + * @type {object} + * @property {number} bf_ava_hand - AVA blood flow rate at hand [L/h]. + * @property {number} bf_ava_foot - AVA blood flow rate at foot [L/h]. + */ /** * Calculate areteriovenous anastmoses (AVA) blood flow rate [L/h] based on * Takemori's model, 1995. * - * @param {number[]} err_cr - Difference between set-point and body temperatures [°C]. - * @param {number[]} err_sk - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} err_cr - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} err_sk - Difference between set-point and body temperatures [°C]. * @param {number} [height=1.72] - Body height [m] * @param {number} [weight=74.43] - Body weight [kg] * @param {string} [bsa_equation="dubois"] - The equation name of bsa calculation. Choose a name from "dubois", "takahira", "fujimoto", or "kurazumi" * @param {number} [age=20] - age [years] * @param {number} [ci=2.59] - Cardiac index [L/min/m2] - * @returns {[number, number]} bf_ava_hand, bf_ava_foot : AVA blood flow rate at hand and foot [L/h] * + * @returns {AvaBloodFlowResult} AVA blood flow rate at hand and foot [L/h] */ export function ava_blood_flow( err_cr, @@ -27,10 +35,15 @@ export function ava_blood_flow( ) { // Cal. mean error body core temp. let cap_bcr = [10.2975, 9.3935, 4.488]; - let err_bcr = $average(err_cr.slice(2, 5), cap_bcr); + let err_bcr = + math.sum( + math.dotMultiply(err_cr.subset(math.index(math.range(2, 5))), cap_bcr), + ) / math.sum(cap_bcr); // Cal. mean error skin temp. - let err_msk = $average(err_sk, JOS3Defaults.local_bsa); + let err_msk = + math.sum(math.dotMultiply(err_sk, JOS3Defaults.local_bsa)) / + math.sum(JOS3Defaults.local_bsa); // Openness of AVA [-] let sig_ava_hand = diff --git a/src/jos3_functions/thermoregulation/basal_met.js b/src/jos3_functions/thermoregulation/basal_met.js index 30be7d0..b41474b 100644 --- a/src/jos3_functions/thermoregulation/basal_met.js +++ b/src/jos3_functions/thermoregulation/basal_met.js @@ -8,6 +8,7 @@ import JOS3Defaults from "../JOS3Defaults.js"; * @param {number} [age=20] - Age [years]. * @param {string} [sex="male"] - Choose male or female. * @param {string} [bmr_equation="harris-benedict"] - Choose harris-benedict or ganpule. + * * @returns {number} Basal metabolic rate [W]. */ export function basal_met( diff --git a/src/jos3_functions/thermoregulation/clo_area_factor.js b/src/jos3_functions/thermoregulation/clo_area_factor.js index 96f61db..07c0518 100644 --- a/src/jos3_functions/thermoregulation/clo_area_factor.js +++ b/src/jos3_functions/thermoregulation/clo_area_factor.js @@ -1,9 +1,9 @@ /** * Calculate clothing area factor * - * @param {number[]} clo - Clothing insulation. + * @param {math.Matrix} clo - Clothing insulation. * - * @returns {number[]} clothing area factor. + * @returns {math.Matrix} clothing area factor. */ export function clo_area_factor(clo) { return clo.map((clo) => (clo < 0.5 ? clo * 0.2 + 1 : clo * 0.1 + 1.05)); diff --git a/src/jos3_functions/thermoregulation/conv_coef.js b/src/jos3_functions/thermoregulation/conv_coef.js index 990a5e4..d462e6f 100644 --- a/src/jos3_functions/thermoregulation/conv_coef.js +++ b/src/jos3_functions/thermoregulation/conv_coef.js @@ -1,26 +1,37 @@ import JOS3Defaults from "../JOS3Defaults.js"; -import { $map, $array } from "../../supa.js"; +import * as math from "mathjs"; /** * Calculate convective heat transfer coefficient (hc) [W/(m2*K)] * * @param {string} [posture=JOS3Defaults.posture] - Select posture from standing, sitting, lying, sedentary or supine. The default is "standing". - * @param {number[]} [v=JOS3Defaults.air_speed] - Air velocity [m/s]. If Iterable is input, its length should be 17. The default is 0.1. - * @param {number[]} [tdb=JOS3Defaults.dry_bulb_air_temperature] - Air temperature [°C]. If Iterable is input, its length should be 17. The default is 28.8. - * @param {number[]} [t_skin=JOS3Defaults.skin_temperature] - Skin temperature [°C]. If Iterable is input, its length should be 17. The default is 34.0. + * @param {math.Matrix} [v=JOS3Defaults.air_speed] - Air velocity [m/s]. If Iterable is input, its length should be 17. The default is 0.1. + * @param {math.Matrix} [tdb=JOS3Defaults.dry_bulb_air_temperature] - Air temperature [°C]. If Iterable is input, its length should be 17. The default is 28.8. + * @param {math.Matrix} [t_skin=JOS3Defaults.skin_temperature] - Skin temperature [°C]. If Iterable is input, its length should be 17. The default is 34.0. * - * @returns {number[]} Convective heat transfer coefficient (hc) [W/(m2*K)]. + * @returns {math.Matrix} Convective heat transfer coefficient (hc) [W/(m2*K)]. * * @see {@link https://doi.org/10.3130/aija.62.45_5 | Ichihara et al., 1997} * @see {@link https://doi.org/10.20718/jjpa.13.1_17 | Kurazumi et al., 2008} */ export function conv_coef( posture = JOS3Defaults.posture, - v = $array(17, JOS3Defaults.air_speed), - tdb = $array(17, JOS3Defaults.dry_bulb_air_temperature), - t_skin = $array(17, JOS3Defaults.skin_temperature), + v = math.multiply(math.ones(17), JOS3Defaults.air_speed), + tdb = math.multiply(math.ones(17), JOS3Defaults.dry_bulb_air_temperature), + t_skin = math.multiply(math.ones(17), JOS3Defaults.skin_temperature), ) { - // Natural convection + // Convert v to math.matrix + v = math.isMatrix(v) ? v : math.matrix(v); + + /** + * Natural convection + * + * @param {string} posture + * @param {math.Matrix} tdb + * @param {math.Matrix} t_skin + * + * @return {math.Matrix} + */ const natural_convection = (posture, tdb, t_skin) => { posture = posture.toLowerCase(); @@ -45,66 +56,71 @@ export function conv_coef( case "standing": // Ichihara et al., 1997, https://doi.org/10.3130/aija.62.45_5 - hc_natural = [ + hc_natural = math.matrix([ 4.48, 4.48, 2.97, 2.91, 2.85, 3.61, 3.55, 3.67, 3.61, 3.55, 3.67, 2.8, 2.04, 2.04, 2.8, 2.04, 2.04, - ]; + ]); break; case "sitting": case "sedentary": // Ichihara et al., 1997, https://doi.org/10.3130/aija.62.45_5 - hc_natural = [ + hc_natural = math.matrix([ 4.75, 4.75, 3.12, 2.48, 1.84, 3.76, 3.62, 2.06, 3.76, 3.62, 2.06, 2.98, 2.98, 2.62, 2.98, 2.98, 2.62, - ]; + ]); break; case "lying": case "supine": // Kurazumi et al., 2008, https://doi.org/10.20718/jjpa.13.1_17 // The values are applied under cold environment. - let hc_a = [ + let hc_a = math.matrix([ 1.105, 1.105, 1.211, 1.211, 1.211, 0.913, 2.081, 2.178, 0.913, 2.081, 2.178, 0.945, 0.385, 0.2, 0.945, 0.385, 0.2, - ]; + ]); - let hc_b = [ + let hc_b = math.matrix([ 0.345, 0.345, 0.046, 0.046, 0.046, 0.373, 0.85, 0.297, 0.373, 0.85, 0.297, 0.447, 0.58, 0.966, 0.447, 0.58, 0.966, - ]; + ]); - hc_natural = $map( - [hc_a, tdb, t_skin, hc_b], - ([hc_a, tdb, t_skin, hc_b]) => hc_a * Math.abs(tdb - t_skin) ** hc_b, + hc_natural = math.dotMultiply( + hc_a, + math.dotPow(math.abs(math.subtract(tdb, t_skin)), hc_b), ); - break; } return hc_natural; }; - // Forced convection + /** + * Forced convection + * + * @param v {math.Matrix} + * + * @return {math.Matrix} + */ const forced_convection = (v) => { // Ichihara et al., 1997, https://doi.org/10.3130/aija.62.45_5 - let hc_a = [ + let hc_a = math.matrix([ 15.0, 15.0, 11.0, 17.0, 13.0, 17.0, 17.0, 20.0, 17.0, 17.0, 20.0, 14.0, 15.8, 15.1, 14.0, 15.8, 15.1, - ]; + ]); - let hc_b = [ + let hc_b = math.matrix([ 0.62, 0.62, 0.67, 0.49, 0.6, 0.59, 0.61, 0.6, 0.59, 0.61, 0.6, 0.61, 0.74, 0.62, 0.61, 0.74, 0.62, - ]; + ]); - return $map([hc_a, v, hc_b], ([hc_a, v, hc_b]) => hc_a * v ** hc_b); + return math.dotMultiply(hc_a, math.dotPow(v, hc_b)); }; let hc_natural = natural_convection(posture, tdb, t_skin); let hc_forced = forced_convection(v); - return $map([v, hc_natural, hc_forced], ([v, hc_natural, hc_forced]) => - v < 0.2 ? hc_natural : hc_forced, + return v.map((z, idx) => + z < 0.2 ? hc_natural.get(idx) : hc_forced.get(idx), ); } diff --git a/src/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.js b/src/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.js index c71d867..3712590 100644 --- a/src/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.js +++ b/src/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.js @@ -1,19 +1,28 @@ import JOS3Defaults from "../JOS3Defaults.js"; import { bfb_rate } from "../bfb_rate.js"; import { BODY_NAMES, IDICT } from "../matrix.js"; +import * as math from "mathjs"; + +/** + * @typedef CrMsFatBloodFlowResult + * @type {object} + * @property {math.MathCollection} bf_core - Core blood flow rate [L/h]. + * @property {math.MathCollection} bf_muscle - Muscle blood flow rate [L/h]. + * @property {math.MathCollection} bf_fat - Fat blood flow rate [L/h]. + */ /** * Calculate core, muscle and fat blood flow rate [L/h]. * - * @param {number[]} q_work - Heat production by work [W]. - * @param {number[]} q_shiv - Heat production by shivering [W]. + * @param {math.MathCollection} q_work - Heat production by work [W]. + * @param {math.MathCollection} q_shiv - Heat production by shivering [W]. * @param {number} [height=1.72] - Body height [m]. * @param {number} [weight=74.43] - Body weight [kg]. * @param {string} [bsa_equation="dubois"] - The equation name of bsa calculation. Choose from "dubois","takahira", "fujimoto", or "kurazumi". * @param {number} [age=20] - Age [years]. * @param {number} [ci=2.59] - Cardiac index [L/min/㎡]. * - * @returns {[number[], number[], number[]]} - Core, muscle and fat blood flow rate [L/h]. + * @returns {CrMsFatBloodFlowResult} - Core, muscle and fat blood flow rate [L/h]. */ export function cr_ms_fat_blood_flow( q_work, @@ -26,37 +35,43 @@ export function cr_ms_fat_blood_flow( ) { // Basal blood flow rate [L/h] // core, CBFB - let bfb_core = [ + let bfb_core = math.matrix([ 35.251, 15.24, 89.214, 87.663, 18.686, 1.808, 0.94, 0.217, 1.808, 0.94, 0.217, 1.406, 0.164, 0.08, 1.406, 0.164, 0.08, - ]; + ]); // muscle, MSBFB - let bfb_muscle = [ + let bfb_muscle = math.matrix([ 0.682, 0.0, 0.0, 0.0, 12.614, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, - ]; + ]); // fat, FTBFB - let bfb_fat = [ + let bfb_fat = math.matrix([ 0.265, 0.0, 0.0, 0.0, 2.219, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, - ]; + ]); let bfbrate = bfb_rate(height, weight, bsa_equation, age, ci); - let bf_core = bfb_core.map((bfb_core) => bfb_core * bfbrate); - let bf_muscle = bfb_muscle.map((bfb_muscle) => bfb_muscle * bfbrate); - let bf_fat = bfb_fat.map((bfb_fat) => bfb_fat * bfbrate); + let bf_core = math.dotMultiply(bfb_core, bfbrate); + let bf_muscle = math.dotMultiply(bfb_muscle, bfbrate); + let bf_fat = math.dotMultiply(bfb_fat, bfbrate); for (let i = 0; i < BODY_NAMES.length; i++) { let bn = BODY_NAMES[i]; if (IDICT[bn]["muscle"] !== null) { - bf_muscle[i] += (q_work[i] + q_shiv[i]) / 1.163; + bf_muscle.set( + [i], + bf_muscle.get([i]) + (q_work.get([i]) + q_shiv.get([i])) / 1.163, + ); } else { - bf_core[i] += (q_work[i] + q_shiv[i]) / 1.163; + bf_core.set( + [i], + bf_core.get([i]) + (q_work.get([i]) + q_shiv.get([i])) / 1.163, + ); } } - return [bf_core, bf_muscle, bf_fat]; + return { bf_core, bf_muscle, bf_fat }; } diff --git a/src/jos3_functions/thermoregulation/dry_r.js b/src/jos3_functions/thermoregulation/dry_r.js index 40ab962..eb5423b 100644 --- a/src/jos3_functions/thermoregulation/dry_r.js +++ b/src/jos3_functions/thermoregulation/dry_r.js @@ -1,22 +1,22 @@ -import { $map } from "../../supa.js"; import { clo_area_factor } from "./clo_area_factor.js"; +import * as math from "mathjs"; /** * Calculate total sensible thermal resistance (between the skin and ambient air). * - * @param {number[]} hc - Convective heat transfer coefficient (hc) [W/(m2*K)]. - * @param {number[]} hr - Radiative heat transfer coefficient (hr) [W/(m2*K)]. - * @param {number[]} clo - Clothing insulation [clo]. + * @param {math.Matrix} hc - Convective heat transfer coefficient (hc) [W/(m2*K)]. + * @param {math.Matrix} hr - Radiative heat transfer coefficient (hr) [W/(m2*K)]. + * @param {math.Matrix} clo - Clothing insulation [clo]. * - * @returns {number[]} Total sensible thermal resistance between skin and ambient. + * @returns {math.Matrix} Total sensible thermal resistance between skin and ambient. */ export function dry_r(hc, hr, clo) { - if (hc.some((x) => x < 0) || hr.some((x) => x < 0)) { + if (hc.toArray().some((x) => x < 0) || hr.toArray().some((x) => x < 0)) { throw new Error("Input parameters hc and hr must be non-negative."); } let fcl = clo_area_factor(clo); - let r_a = $map([hc, hr], ([hc, hr]) => 1 / (hc + hr)); - let r_cl = clo.map((clo) => 0.155 * clo); - return $map([r_a, fcl, r_cl], ([r_a, fcl, r_cl]) => r_a / fcl + r_cl); + let r_a = math.dotDivide(1, math.add(hc, hr)); + let r_cl = math.dotMultiply(0.155, clo); + return math.add(math.dotDivide(r_a, fcl), r_cl); } diff --git a/src/jos3_functions/thermoregulation/error_signals.js b/src/jos3_functions/thermoregulation/error_signals.js index 46c9462..0cee4e9 100644 --- a/src/jos3_functions/thermoregulation/error_signals.js +++ b/src/jos3_functions/thermoregulation/error_signals.js @@ -1,24 +1,33 @@ -import { $array, $map, $max, $min, $sum } from "../../supa.js"; +import * as math from "mathjs"; + +/** + * @typedef ErrorSignalsResult + * @type {object} + * @property {number} wrms - Warm signal [°C]. + * @property {number} clds - Cold signal [°C]. + */ /** * Calculate WRMS and CLDS signals of thermoregulation. * - * @param {number[]} [err_sk=0] - Difference between set-point and skin temperatures [°C]. - * If array, its length should be 17. + * @param {math.MathCollection} [err_sk=0] - Difference between set-point and skin temperatures [°C]. + * If the provided value is an array, its length should be 17. * - * @returns {Object} Contains two arrays: `wrms` - Warm signal [°C]; `clds` - Cold signal [°C]. + * @returns {ErrorSignalsResult} an object containing the results of the calculation. */ -export function error_signals(err_sk = $array(17, 0)) { - let receptor = [ +export function error_signals(err_sk = math.zeros(17)) { + let receptor = math.matrix([ 0.0549, 0.0146, 0.1492, 0.1321, 0.2122, 0.0227, 0.0117, 0.0923, 0.0227, 0.0117, 0.0923, 0.0501, 0.0251, 0.0167, 0.0501, 0.0251, 0.0167, - ]; + ]); - let wrm = $max(err_sk, 0); - wrm = $map([wrm, receptor], ([wrm, receptor]) => wrm * receptor); + let wrm = err_sk.map((n) => math.max(n, 0)); + wrm = math.dotMultiply(wrm, receptor); + let wrms = math.sum(wrm); - let cld = $min(err_sk, 0); - cld = $map([cld, receptor], ([cld, receptor]) => -cld * receptor); + let cld = err_sk.map((n) => math.min(n, 0)); + cld = math.dotMultiply(cld, math.dotMultiply(receptor, -1)); + let clds = math.sum(cld); - return { wrms: $sum(wrm), clds: $sum(cld) }; + return { wrms, clds }; } diff --git a/src/jos3_functions/thermoregulation/evaporation.js b/src/jos3_functions/thermoregulation/evaporation.js index 57290e9..2b1f26e 100644 --- a/src/jos3_functions/thermoregulation/evaporation.js +++ b/src/jos3_functions/thermoregulation/evaporation.js @@ -1,28 +1,40 @@ import JOS3Defaults from "../JOS3Defaults.js"; import { error_signals } from "./error_signals.js"; import { bsa_rate } from "../bsa_rate.js"; -import { $map, $max, $min, $array } from "../../supa.js"; +import * as math from "mathjs"; +/** + * Calculates the Antoine equation for a given temperature value. + * + * @param {number} x - The temperature value in Kelvin. + * @returns {number} - The vapor pressure calculated using the Antoine equation. + */ export const antoine = (x) => Math.E ** (16.6536 - 4030.183 / (x + 235)); +/** + * @typedef EvaporationResult + * @type {object} + * @property {math.MathCollection} wet - Local skin wettedness [-]. + * @property {math.MathCollection} e_sk - Evaporative heat loss at the skin by sweating and diffuse [W]. + * @property {math.MathCollection} e_max - Maximum evaporative heat loss at the skin [W]. + * @property {math.MathCollection} e_sweat - Evaporative heat loss at the skin by only sweating [W]. + */ + /** * Calculate evaporative heat loss. * - * @param {Array} err_cr, err_sk - Difference between set-point and body temperatures [°C]. - * @param {Array} t_skin - Skin temperatures [°C]. - * @param {Array} tdb - Air temperatures at local body segments [°C]. - * @param {Array} rh - Relative humidity at local body segments [%]. - * @param {Array} ret - Total evaporative thermal resistances [m2.K/W]. + * @param {math.MathCollection} err_cr - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} err_sk - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} t_skin - Skin temperatures [°C]. + * @param {math.MathCollection} tdb - Air temperatures at local body segments [°C]. + * @param {math.MathCollection} rh - Relative humidity at local body segments [%]. + * @param {math.MathCollection} ret - Total evaporative thermal resistances [m2.K/W]. * @param {number} [height=1.72] - Body height [m]. * @param {number} [weight=74.43] - Body weight [kg]. * @param {string} [bsa_equation="dubois"] - The equation name (str) of bsa calculation. Choose a name from "dubois", "takahira", "fujimoto", or "kurazumi". * @param {number} [age=20] - age [years]. * - * @returns {Object} An object containing: - * - wet (Array): Local skin wettedness [-]. - * - e_sk (Array): Evaporative heat loss at the skin by sweating and diffuse [W]. - * - e_max (Array): Maximum evaporative heat loss at the skin [W]. - * - e_sweat (TYPE): Evaporative heat loss at the skin by only sweating [W]. + * @returns {EvaporationResult} an object containing the results of the calculation. */ export function evaporation( err_cr, @@ -38,14 +50,16 @@ export function evaporation( ) { let { wrms, clds } = error_signals(err_sk); let bsar = bsa_rate(height, weight, bsa_equation); - let bsa = JOS3Defaults.local_bsa.map((local_bsa) => local_bsa * bsar); - let p_a = $map([tdb, rh], ([tdb, rh]) => (antoine(tdb) * rh) / 100); + let bsa = math.dotMultiply(JOS3Defaults.local_bsa, bsar); + + let p_a = math.dotDivide(math.dotMultiply(tdb.map(antoine), rh), 100); let p_sk_s = t_skin.map(antoine); - let e_max = $map( - [p_sk_s, p_a, ret, bsa], - ([p_sk_s, p_a, ret, bsa]) => ((p_sk_s - p_a) / ret) * bsa, + let e_max = math.dotMultiply( + math.dotDivide(math.subtract(p_sk_s, p_a), ret), + bsa, ); + e_max = e_max.map((e_max) => (e_max === 0 ? 0.001 : e_max)); let skin_sweat = [ @@ -53,32 +67,34 @@ export function evaporation( 0.0155, 0.073, 0.036, 0.0175, 0.073, 0.036, 0.0175, ]; - let sig_sweat = 371.2 * err_cr[0] + 33.64 * (wrms - clds); + let sig_sweat = 371.2 * err_cr.get([0]) + 33.64 * (wrms - clds); sig_sweat = sig_sweat > 0 ? sig_sweat : 0; sig_sweat *= bsar; let sd_sweat = age < 60 - ? $array(17, 1) - : [ + ? math.ones(17) + : math.matrix([ 0.69, 0.69, 0.59, 0.52, 0.4, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, - ]; + ]); - let e_sweat = $map( - [skin_sweat, sd_sweat, err_sk], - ([skin_sweat, sd_sweat, err_sk]) => - skin_sweat * sig_sweat * sd_sweat * 2 ** (err_sk / 10), + let e_sweat = math.multiply( + skin_sweat, + sig_sweat, + sd_sweat, + math.dotPow(2, math.divide(err_sk, 10)), ); - let wet = $map( - [e_sweat, e_max], - ([e_sweat, e_max]) => 0.06 + 0.94 * (e_sweat / e_max), - ); - wet = $min(wet, 1); + let wet = math.add(0.06, math.multiply(0.94, math.dotDivide(e_sweat, e_max))); + wet = wet.map((n) => (n > 1 ? 1 : n)); - let e_sk = $map([wet, e_max], ([wet, e_max]) => wet * e_max); - e_sweat = $map([wet, e_max], ([wet, e_max]) => ((wet - 0.06) / 0.94) * e_max); + let e_sk = math.dotMultiply(wet, e_max); + + e_sweat = math.dotMultiply( + math.divide(math.subtract(wet, 0.06), 0.94), + e_max, + ); return { wet, e_sk, e_max, e_sweat }; } diff --git a/src/jos3_functions/thermoregulation/fixed_hc.js b/src/jos3_functions/thermoregulation/fixed_hc.js index 8eafc53..1fde3f4 100644 --- a/src/jos3_functions/thermoregulation/fixed_hc.js +++ b/src/jos3_functions/thermoregulation/fixed_hc.js @@ -1,13 +1,18 @@ -import { $average, $reduce } from "../../supa.js"; import JOS3Defaults from "../JOS3Defaults.js"; +import * as math from "mathjs"; /** * Fixes hc values to fit two-node-model's values. */ export function fixed_hc(hc, v) { - let mean_hc = $average(hc, JOS3Defaults.local_bsa); - let mean_va = $average(v, JOS3Defaults.local_bsa); + const local_bsa_sum = math.sum(JOS3Defaults.local_bsa); + + let mean_hc = + math.sum(math.dotMultiply(hc, JOS3Defaults.local_bsa)) / local_bsa_sum; + + let mean_va = + math.sum(math.dotMultiply(v, JOS3Defaults.local_bsa)) / local_bsa_sum; let mean_hc_whole = Math.max(3, 8.600001 * mean_va ** 0.53); - return hc.map((x) => (x * mean_hc_whole) / mean_hc); + return math.dotDivide(math.dotMultiply(hc, mean_hc_whole), mean_hc); } diff --git a/src/jos3_functions/thermoregulation/fixed_hr.js b/src/jos3_functions/thermoregulation/fixed_hr.js index 991b983..f73ca97 100644 --- a/src/jos3_functions/thermoregulation/fixed_hr.js +++ b/src/jos3_functions/thermoregulation/fixed_hr.js @@ -1,10 +1,16 @@ -import { $average } from "../../supa.js"; import JOS3Defaults from "../JOS3Defaults.js"; +import * as math from "mathjs"; /** * Fixes hr values to fit two-node-model's values. + * + * @param {math.MathCollection} hr + * @return {math.Matrix} */ export function fixed_hr(hr) { - let mean_hr = $average(hr, JOS3Defaults.local_bsa); - return hr.map((hr) => (hr * 4.7) / mean_hr); + let mean_hr = + math.sum(math.dotMultiply(hr, JOS3Defaults.local_bsa)) / + math.sum(JOS3Defaults.local_bsa); + + return math.dotDivide(math.dotMultiply(hr, 4.7), mean_hr); } diff --git a/src/jos3_functions/thermoregulation/local_mbase.js b/src/jos3_functions/thermoregulation/local_mbase.js index d51a015..2047e8a 100644 --- a/src/jos3_functions/thermoregulation/local_mbase.js +++ b/src/jos3_functions/thermoregulation/local_mbase.js @@ -1,5 +1,6 @@ import JOS3Defaults from "../JOS3Defaults.js"; import { basal_met } from "./basal_met.js"; +import * as math from "mathjs"; /** * Calculate local basal metabolic rate [W]. @@ -9,7 +10,8 @@ import { basal_met } from "./basal_met.js"; * @param {number} [age=20] - Age [years]. * @param {string} [sex='male'] - Sex (male or female). * @param {string} [bmr_equation='harris-benedict'] - BMR equation to use (harris-benedict or ganpule). - * @returns {number[][]} mbase - Local basal metabolic rate (Mbase) [W]. + * + * @returns {[math.MathCollection, math.MathCollection, math.MathCollection, math.MathCollection]} mbase - Local basal metabolic rate (Mbase) [W]. */ export function local_mbase( height = JOS3Defaults.height, @@ -20,32 +22,32 @@ export function local_mbase( ) { let mbase_all = basal_met(height, weight, age, sex, bmr_equation); - let mbf_cr = [ + let mbf_cr = math.matrix([ 0.19551, 0.00324, 0.28689, 0.25677, 0.09509, 0.01435, 0.00409, 0.00106, 0.01435, 0.00409, 0.00106, 0.01557, 0.00422, 0.0025, 0.01557, 0.00422, 0.0025, - ]; + ]); - let mbf_ms = [ + let mbf_ms = math.matrix([ 0.00252, 0.0, 0.0, 0.0, 0.04804, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, - ]; + ]); - let mbf_fat = [ + let mbf_fat = math.matrix([ 0.00127, 0.0, 0.0, 0.0, 0.0095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, - ]; + ]); - let mbf_sk = [ + let mbf_sk = math.matrix([ 0.00152, 0.00033, 0.00211, 0.00187, 0.003, 0.00059, 0.00031, 0.00059, 0.00059, 0.00031, 0.00059, 0.00144, 0.00027, 0.00118, 0.00144, 0.00027, 0.00118, - ]; + ]); - let mbase_cr = mbf_cr.map((mbf_cr) => mbf_cr * mbase_all); - let mbase_ms = mbf_ms.map((mbf_ms) => mbf_ms * mbase_all); - let mbase_fat = mbf_fat.map((mbf_fat) => mbf_fat * mbase_all); - let mbase_sk = mbf_sk.map((mbf_sk) => mbf_sk * mbase_all); + let mbase_cr = math.dotMultiply(mbf_cr, mbase_all); + let mbase_ms = math.dotMultiply(mbf_ms, mbase_all); + let mbase_fat = math.dotMultiply(mbf_fat, mbase_all); + let mbase_sk = math.dotMultiply(mbf_sk, mbase_all); return [mbase_cr, mbase_ms, mbase_fat, mbase_sk]; } diff --git a/src/jos3_functions/thermoregulation/local_q_work.js b/src/jos3_functions/thermoregulation/local_q_work.js index 1b8c575..abc5786 100644 --- a/src/jos3_functions/thermoregulation/local_q_work.js +++ b/src/jos3_functions/thermoregulation/local_q_work.js @@ -1,3 +1,5 @@ +import * as math from "mathjs"; + /** * Calculate local thermogenesis by work [W]. * @@ -5,7 +7,7 @@ * @param {number} par - Physical activity ratio [-] * @throws {Error} If par is less than 1 * - * @return {Array} q_work - Local thermogenesis by work [W] + * @return {math.MathCollection} q_work - Local thermogenesis by work [W] */ export function local_q_work(bmr, par) { if (par < 1) { @@ -14,10 +16,10 @@ export function local_q_work(bmr, par) { let q_work_all = (par - 1) * bmr; - let workf = [ + let workf = math.matrix([ 0, 0, 0.091, 0.08, 0.129, 0.0262, 0.0139, 0.005, 0.0262, 0.0139, 0.005, 0.201, 0.099, 0.005, 0.201, 0.099, 0.005, - ]; + ]); - return workf.map((workf) => workf * q_work_all); + return math.dotMultiply(workf, q_work_all); } diff --git a/src/jos3_functions/thermoregulation/nonshivering.js b/src/jos3_functions/thermoregulation/nonshivering.js index 71852fd..b4665e8 100644 --- a/src/jos3_functions/thermoregulation/nonshivering.js +++ b/src/jos3_functions/thermoregulation/nonshivering.js @@ -1,11 +1,12 @@ import JOS3Defaults from "../JOS3Defaults.js"; import { error_signals } from "./error_signals.js"; import { bsa_rate } from "../bsa_rate.js"; +import * as math from "mathjs"; /** * Calculate local metabolic rate by non-shivering [W] * - * @param {number[]} err_sk - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} err_sk - Difference between set-point and body temperatures [°C]. * @param {number} [height=1.72] - Body height [m]. * @param {number} [weight=74.43] - Body weight [kg]. * @param {string} [bsa_equation="dubois"] - The equation name (str) of bsa calculation. Choose a name from "dubois", "takahira", "fujimoto", or "kurazumi". @@ -13,7 +14,7 @@ import { bsa_rate } from "../bsa_rate.js"; * @param {boolean} [cold_acclimation=false] - Whether the subject acclimates cold environment or not. * @param {boolean} [batpositive=true] - Whether BAT activity is positive or not. * - * @returns {number[]} q_nst - Local metabolic rate by non-shivering [W]. + * @returns {math.MathCollection} q_nst - Local metabolic rate by non-shivering [W]. */ export function nonshivering( err_sk, @@ -66,11 +67,11 @@ export function nonshivering( let sig_nst = 2.8 * clds; // [W] sig_nst = Math.min(sig_nst, thres); - let nstf = [ + let nstf = math.matrix([ 0.0, 0.19, 0.0, 0.19, 0.19, 0.215, 0.0, 0.0, 0.215, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, - ]; + ]); let bsar = bsa_rate(height, weight, bsa_equation); - return nstf.map((nst) => sig_nst * bsar * nst); + return math.dotMultiply(math.dotMultiply(bsar, nstf), sig_nst); } diff --git a/src/jos3_functions/thermoregulation/operative_temp.js b/src/jos3_functions/thermoregulation/operative_temp.js index ef007d6..84f3766 100644 --- a/src/jos3_functions/thermoregulation/operative_temp.js +++ b/src/jos3_functions/thermoregulation/operative_temp.js @@ -1,18 +1,19 @@ import { $map } from "../../supa.js"; +import * as math from "mathjs"; /** * Calculate operative temperature [°C] * - * @param {number[]} tdb - Air temperature [°C] - * @param {number[]} tr - Mean radiant temperature [°C] - * @param {number[]} hc - Convective heat transfer coefficient [W/(m2*K)] - * @param {number[]} hr - Radiative heat transfer coefficient [W/(m2*K)] + * @param {math.MathCollection} tdb - Air temperature [°C] + * @param {math.MathCollection} tr - Mean radiant temperature [°C] + * @param {math.MathCollection} hc - Convective heat transfer coefficient [W/(m2*K)] + * @param {math.MathCollection} hr - Radiative heat transfer coefficient [W/(m2*K)] - * @returns {number[]} Operative temperature [°C] + * @returns {math.MathCollection} Operative temperature [°C] */ export function operative_temp(tdb, tr, hc, hr) { - return $map( - [tdb, tr, hc, hr], - ([tdb, tr, hc, hr]) => (hc * tdb + hr * tr) / (hc + hr), + return math.dotDivide( + math.add(math.dotMultiply(hc, tdb), math.dotMultiply(hr, tr)), + math.add(hc, hr), ); } diff --git a/src/jos3_functions/thermoregulation/rad_coef.js b/src/jos3_functions/thermoregulation/rad_coef.js index f4ea1fe..5551e1c 100644 --- a/src/jos3_functions/thermoregulation/rad_coef.js +++ b/src/jos3_functions/thermoregulation/rad_coef.js @@ -1,11 +1,12 @@ import JOS3Defaults from "../JOS3Defaults.js"; +import * as math from "mathjs"; /** * Calculate radiative heat transfer coefficient (hr) [W/(m2*K)] * * @param {string} posture - Select posture from standing, sitting, lying, sedentary or supine. Default is "standing". * - * @returns {Array} hr - Radiative heat transfer coefficient (hr) [W/(m2*K)]. + * @returns {math.Matrix} hr - Radiative heat transfer coefficient (hr) [W/(m2*K)]. */ export function rad_coef(posture = JOS3Defaults.posture) { const valid_postures = [ @@ -24,23 +25,23 @@ export function rad_coef(posture = JOS3Defaults.posture) { switch (posture) { case "standing": // Ichihara et al., 1997, https://doi.org/10.3130/aija.62.45_5 - return [ + return math.matrix([ 4.89, 4.89, 4.32, 4.09, 4.32, 4.55, 4.43, 4.21, 4.55, 4.43, 4.21, 4.77, 5.34, 6.14, 4.77, 5.34, 6.14, - ]; + ]); case "sitting": case "sedentary": // Ichihara et al., 1997, https://doi.org/10.3130/aija.62.45_5 - return [ + return math.matrix([ 4.96, 4.96, 3.99, 4.64, 4.21, 4.96, 4.21, 4.74, 4.96, 4.21, 4.74, 4.1, 4.74, 6.36, 4.1, 4.74, 6.36, - ]; + ]); case "lying": case "supine": // Kurazumi et al., 2008, https://doi.org/10.20718/jjpa.13.1_17 - return [ + return math.matrix([ 5.475, 5.475, 3.463, 3.463, 3.463, 4.249, 4.835, 4.119, 4.249, 4.835, 4.119, 4.44, 5.547, 6.085, 4.44, 5.547, 6.085, - ]; + ]); } } diff --git a/src/jos3_functions/thermoregulation/resp_heat_loss.js b/src/jos3_functions/thermoregulation/resp_heat_loss.js index e232d7e..10b8650 100644 --- a/src/jos3_functions/thermoregulation/resp_heat_loss.js +++ b/src/jos3_functions/thermoregulation/resp_heat_loss.js @@ -1,3 +1,10 @@ +/** + * @typedef RespHeatLossResult + * @type {object} + * @property {number} res_sh - Sensible heat loss by respiration [W]. + * @property {number} res_lh - Latent heat loss by respiration [W]. + */ + /** * Calculate heat loss by respiration [W]. * @@ -5,10 +12,10 @@ * @param {number} p_a - Water vapor pressure in the ambient air [kPa]. * @param {number} q_thermogenesis_total - Total thermogenesis [W]. - * @return {number[]} res_sh, res_lh - Sensible and latent heat loss by respiration [W]. + * @return {RespHeatLossResult} res_sh, res_lh - Sensible and latent heat loss by respiration [W]. */ export function resp_heat_loss(tdb, p_a, q_thermogenesis_total) { let res_sh = 0.0014 * q_thermogenesis_total * (34 - tdb); // sensible heat loss let res_lh = 0.0173 * q_thermogenesis_total * (5.87 - p_a); // latent heat loss - return [res_sh, res_lh]; + return { res_sh, res_lh }; } diff --git a/src/jos3_functions/thermoregulation/shivering.js b/src/jos3_functions/thermoregulation/shivering.js index 9826313..ef72f70 100644 --- a/src/jos3_functions/thermoregulation/shivering.js +++ b/src/jos3_functions/thermoregulation/shivering.js @@ -1,27 +1,35 @@ -import { $array, $average, $map } from "../../supa.js"; import JOS3Defaults from "../JOS3Defaults.js"; import { error_signals } from "./error_signals.js"; import { bsa_rate } from "../bsa_rate.js"; +import * as math from "mathjs"; export let PRE_SHIV = 0; +/** + * Sets the value of PRE_SHIV. + * + * @param {number} value - the value to set PRE_SHIV to + */ export function set_pre_shiv(value) { PRE_SHIV = value; } /** * Calculate local thermogenesis by shivering [W]. - * @param {number[]} err_cr, err_sk - Difference between set-point and body temperatures [°C]. - * @param {number[]} t_core, t_skin - Core and skin temperatures [°C]. + * + * @param {math.MathCollection} err_cr - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} err_sk - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} t_core - Core and skin temperatures [°C]. + * @param {math.MathCollection} t_skin - Core and skin temperatures [°C]. * @param {number} [height=1.72] - Body height [m]. * @param {number} [weight=74.43] - Body weight [kg]. * @param {string} [bsa_equation="dubois"] - The equation name (str) of bsa calculation. Choose a name from "dubois", "takahira", "fujimoto", or "kurazumi". * @param {number} [age=20] - age [years]. * @param {string} [sex="male"] - Choose male or female. * @param {number} [dtime=60] - Interval of analysis time. - * @param {Object} options - Additional options. + * @param {object} options - Additional options. * - * @returns {number[]} q_shiv - Local thermogenesis by shivering [W]. + * @returns {math.MathCollection} q_shiv - Local thermogenesis by shivering [W]. */ export function shivering( err_cr, @@ -40,20 +48,22 @@ export function shivering( let { clds } = error_signals(err_sk); // Distribution coefficient of thermogenesis by shivering - let shivf = [ + let shivf = math.matrix([ 0.0339, 0.0436, 0.27394, 0.24102, 0.38754, 0.00243, 0.00137, 0.0002, 0.00243, 0.00137, 0.0002, 0.0039, 0.00175, 0.00035, 0.0039, 0.00175, 0.00035, - ]; + ]); // Integrated error signal of shivering - let sig_shiv = 24.36 * clds * -err_cr[0]; + let sig_shiv = 24.36 * clds * -err_cr.get([0]); sig_shiv = Math.max(sig_shiv, 0); - if (options.shivering_threshold) { + if (options["shivering_threshold"]) { // Asaka, 2016 // Threshold of starting shivering - let tskm = $average(t_skin, JOS3Defaults.local_bsa); + let tskm = + math.sum(math.dotMultiply(t_skin, JOS3Defaults.local_bsa)) / + math.sum(JOS3Defaults.local_bsa); let thres; @@ -64,12 +74,12 @@ export function shivering( } // Second threshold of starting shivering - if (thres < t_core[0]) { + if (thres < t_core.get([0])) { sig_shiv = 0; } } - if (options["limit_dshiv/dt"] !== null) { + if (options["limit_dshiv/dt"]) { let dshiv = sig_shiv - PRE_SHIV; let limit_dshiv = options["limit_dshiv/dt"] === true @@ -88,27 +98,29 @@ export function shivering( // Signal sd_shiv by aging let sd_shiv; if (age < 30) { - sd_shiv = $array(17, 1); + sd_shiv = math.ones(17); } else if (age < 40) { - sd_shiv = $array(17, 0.97514); + sd_shiv = math.multiply(math.ones(17), 0.97514); } else if (age < 50) { - sd_shiv = $array(17, 0.95028); + sd_shiv = math.multiply(math.ones(17), 0.95028); } else if (age < 60) { - sd_shiv = $array(17, 0.92818); + sd_shiv = math.multiply(math.ones(17), 0.92818); } else if (age < 70) { - sd_shiv = $array(17, 0.90055); + sd_shiv = math.multiply(math.ones(17), 0.90055); } else if (age < 80) { - sd_shiv = $array(17, 0.86188); + sd_shiv = math.multiply(math.ones(17), 0.86188); } else { - sd_shiv = $array(17, 0.82597); + sd_shiv = math.multiply(math.ones(17), 0.82597); } // Ratio of body surface area to the standard body [-] let bsar = bsa_rate(height, weight, bsa_equation); // Local thermogenesis by shivering [W] - return $map( - [shivf, sd_shiv], - ([shivf, sd_shiv]) => shivf * bsar * sd_shiv * sig_shiv, + let q_shiv = math.dotMultiply( + math.dotMultiply(math.dotMultiply(shivf, bsar), sd_shiv), + sig_shiv, ); + let x = q_shiv + 1; + return q_shiv; } diff --git a/src/jos3_functions/thermoregulation/skin_blood_flow.js b/src/jos3_functions/thermoregulation/skin_blood_flow.js index 99bcb47..40ae0cd 100644 --- a/src/jos3_functions/thermoregulation/skin_blood_flow.js +++ b/src/jos3_functions/thermoregulation/skin_blood_flow.js @@ -1,17 +1,19 @@ -import { $array, $map } from "../../supa.js"; import JOS3Defaults from "../JOS3Defaults.js"; import { error_signals } from "./error_signals.js"; import { bfb_rate } from "../bfb_rate.js"; +import * as math from "mathjs"; /** * Calculate skin blood flow rate (bf_skin) [L/h]. - * @param {number[]} err_cr, err_sk - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} err_cr - Difference between set-point and body temperatures [°C]. + * @param {math.MathCollection} err_sk - Difference between set-point and body temperatures [°C]. * @param {number} [height=1.72] - Body height [m]. * @param {number} [weight=74.43] - Body weight [kg]. * @param {string} [bsa_equation="dubois"] - The equation name of bsa calculation. Choose a name from "dubois", "takahira", "fujimoto", or "kurazumi". * @param {number} [age=20] - age [years]. * @param {number} [ci=2.59] - Cardiac index [L/min/㎡]. - * @returns {number[]} bf_skin - Skin blood flow rate [L/h]. + * + * @returns {math.MathCollection} bf_skin - Skin blood flow rate [L/h]. */ export function skin_blood_flow( err_cr, @@ -24,45 +26,53 @@ export function skin_blood_flow( ) { let { wrms, clds } = error_signals(err_sk); - let bfb_sk = [ + let bfb_sk = math.matrix([ 1.754, 0.325, 1.967, 1.475, 2.272, 0.91, 0.508, 1.114, 0.91, 0.508, 1.114, 1.456, 0.651, 0.934, 1.456, 0.651, 0.934, - ]; + ]); - let skin_dilat = [ + let skin_dilat = math.matrix([ 0.0692, 0.0992, 0.058, 0.0679, 0.0707, 0.04, 0.0373, 0.0632, 0.04, 0.0373, 0.0632, 0.0736, 0.0411, 0.0623, 0.0736, 0.0411, 0.0623, - ]; + ]); - let skin_stric = [ + let skin_stric = math.matrix([ 0.0213, 0.0213, 0.0638, 0.0638, 0.0638, 0.0213, 0.0213, 0.1489, 0.0213, 0.0213, 0.1489, 0.0213, 0.0213, 0.1489, 0.0213, 0.0213, 0.1489, - ]; + ]); - let sig_dilat = 100.5 * err_cr[0] + 6.4 * (wrms - clds); + let sig_dilat = 100.5 * err_cr.get([0]) + 6.4 * (wrms - clds); sig_dilat = sig_dilat > 0 ? sig_dilat : 0; - let sig_stric = -10.8 * err_cr[0] + -10.8 * (wrms - clds); + let sig_stric = -10.8 * err_cr.get([0]) + -10.8 * (wrms - clds); sig_stric = sig_stric > 0 ? sig_stric : 0; - let sd_stric = $array(17, 1); + let sd_stric = math.ones(17); let sd_dilat = age < 60 - ? $array(17, 1) - : [ + ? math.ones(17) + : math.matrix([ 0.91, 0.91, 0.47, 0.47, 0.31, 0.47, 0.47, 0.47, 0.47, 0.47, 0.47, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, - ]; + ]); - let bf_skin = $map( - [skin_dilat, sd_dilat, skin_stric, sd_stric, bfb_sk, err_sk], - ([skin_dilat, sd_dilat, skin_stric, sd_stric, bfb_sk, err_sk]) => - ((1 + skin_dilat * sd_dilat * sig_dilat) / - (1 + skin_stric * sd_stric * sig_stric)) * - bfb_sk * - 2 ** (err_sk / 6), + let bf_skin = math.dotMultiply( + math.dotMultiply( + math.dotDivide( + math.add( + 1, + math.multiply(math.dotMultiply(skin_dilat, sd_dilat), sig_dilat), + ), + math.add( + 1, + math.multiply(math.dotMultiply(skin_stric, sd_stric), sig_stric), + ), + ), + bfb_sk, + ), + math.dotPow(2, math.divide(err_sk, 6)), ); let bfb = bfb_rate(height, weight, bsa_equation, age, ci); - return bf_skin.map((bf_skin) => bf_skin * bfb); + return math.dotMultiply(bf_skin, bfb); } diff --git a/src/jos3_functions/thermoregulation/sum_bf.js b/src/jos3_functions/thermoregulation/sum_bf.js index dc16641..237e51f 100644 --- a/src/jos3_functions/thermoregulation/sum_bf.js +++ b/src/jos3_functions/thermoregulation/sum_bf.js @@ -1,14 +1,16 @@ +import * as math from "mathjs"; + /** * Sum the total blood flow in various body parts. * - * @param {number[]} bf_core - Blood flow rate in the core region [L/h]. - * @param {number[]} bf_muscle - Blood flow rate in the muscle region [L/h]. - * @param {number[]} bf_fat - Blood flow rate in the fat region [L/h]. - * @param {number[]} bf_skin - Blood flow rate in the skin region [L/h]. + * @param {math.MathCollection} bf_core - Blood flow rate in the core region [L/h]. + * @param {math.MathCollection} bf_muscle - Blood flow rate in the muscle region [L/h]. + * @param {math.MathCollection} bf_fat - Blood flow rate in the fat region [L/h]. + * @param {math.MathCollection} bf_skin - Blood flow rate in the skin region [L/h]. * @param {number} bf_ava_hand - AVA blood flow rate in one hand [L/h]. * @param {number} bf_ava_foot - AVA blood flow rate in one foot [L/h]. * - * @returns {float} co - Cardiac output (the sum of the whole blood flow rate) [L/h]. + * @returns {number} co - Cardiac output (the sum of the whole blood flow rate) [L/h]. */ export function sum_bf( bf_core, @@ -19,10 +21,10 @@ export function sum_bf( bf_ava_foot, ) { let co = 0; - co += bf_core.reduce((t, c) => t + c, 0); - co += bf_muscle.reduce((t, c) => t + c, 0); - co += bf_fat.reduce((t, c) => t + c, 0); - co += bf_skin.reduce((t, c) => t + c, 0); + co += math.sum(bf_core); + co += math.sum(bf_muscle); + co += math.sum(bf_fat); + co += math.sum(bf_skin); co += 2 * bf_ava_hand; co += 2 * bf_ava_foot; return co; diff --git a/src/jos3_functions/thermoregulation/sum_m.js b/src/jos3_functions/thermoregulation/sum_m.js index b73efaa..9f68179 100644 --- a/src/jos3_functions/thermoregulation/sum_m.js +++ b/src/jos3_functions/thermoregulation/sum_m.js @@ -1,15 +1,24 @@ import { BODY_NAMES, IDICT } from "../matrix.js"; -import { $map } from "../../supa.js"; +import * as math from "mathjs"; + +/** + * @typedef SumMResult + * @type {object} + * @property {math.MathCollection} q_thermogenesis_core - Total thermogenesis in core layer [W]. + * @property {math.MathCollection} q_thermogenesis_muscle - Total thermogenesis in muscle layer [W]. + * @property {math.MathCollection} q_thermogenesis_fat - Total thermogenesis in fat layer [W]. + * @property {math.MathCollection} q_thermogenesis_skin - Total thermogenesis in skin layer [W]. + */ /** * Calculate total thermogenesis in each layer [W]. * - * @param {number[][]} mbase - Local basal metabolic rate (Mbase) [W]. - * @param {number[]} q_work - Local thermogenesis by work [W]. - * @param {number[]} q_shiv - Local thermogenesis by shivering [W]. - * @param {number[]} q_nst - Local thermogenesis by non-shivering [W]. - - * @return {number[][]} q_thermogenesis_core, q_thermogenesis_muscle, q_thermogenesis_fat, q_thermogenesis_skin - Total thermogenesis in core, muscle, fat, skin layers [W]. + * @param {[math.MathCollection, math.MathCollection, math.MathCollection, math.MathCollection]} mbase - Local basal metabolic rate (Mbase) [W]. + * @param {math.MathCollection} q_work - Local thermogenesis by work [W]. + * @param {math.MathCollection} q_shiv - Local thermogenesis by shivering [W]. + * @param {math.MathCollection} q_nst - Local thermogenesis by non-shivering [W]. + * + * @return {SumMResult} Total thermogenesis in core, muscle, fat, skin layers [W]. */ export function sum_m(mbase, q_work, q_shiv, q_nst) { let [ @@ -23,21 +32,24 @@ export function sum_m(mbase, q_work, q_shiv, q_nst) { let bn = BODY_NAMES[i]; if (IDICT[bn]["muscle"] !== null) { - q_thermogenesis_muscle[i] += q_work[i] + q_shiv[i]; + q_thermogenesis_muscle.set( + [i], + q_thermogenesis_muscle.get([i]) + q_work.get([i]) + q_shiv.get([i]), + ); } else { - q_thermogenesis_core[i] += q_work[i] + q_shiv[i]; + q_thermogenesis_core.set( + [i], + q_thermogenesis_core.get([i]) + q_work.get([i]) + q_shiv.get([i]), + ); } } - q_thermogenesis_core = $map( - [q_thermogenesis_core, q_nst], - ([q_thermogenesis_core, q_nst]) => q_thermogenesis_core + q_nst, - ); + q_thermogenesis_core = math.add(q_thermogenesis_core, q_nst); - return [ + return { q_thermogenesis_core, q_thermogenesis_muscle, q_thermogenesis_fat, q_thermogenesis_skin, - ]; + }; } diff --git a/src/jos3_functions/thermoregulation/wet_r.js b/src/jos3_functions/thermoregulation/wet_r.js index 2fa61a4..65a3deb 100644 --- a/src/jos3_functions/thermoregulation/wet_r.js +++ b/src/jos3_functions/thermoregulation/wet_r.js @@ -1,16 +1,16 @@ import JOS3Defaults from "../JOS3Defaults.js"; import { clo_area_factor } from "./clo_area_factor.js"; -import { $map } from "../../supa.js"; +import * as math from "mathjs"; /** * Calculate total evaporative thermal resistance (between the skin and ambient air). * - * @param {number[]} hc - Convective heat transfer coefficient (hc) [W/(m2*K)]. - * @param {number[]} clo - Clothing insulation [clo]. - * @param {number[]} [i_clo=0.45] - Clothing vapor permeation efficiency [-]. + * @param {math.Matrix} hc - Convective heat transfer coefficient (hc) [W/(m2*K)]. + * @param {math.Matrix} clo - Clothing insulation [clo]. + * @param {number | math.Matrix} [i_clo=0.45] - Clothing vapor permeation efficiency [-]. * @param {number} [lewis_rate=16.5] - Lewis rate [K/kPa]. * - * @returns {number[]} r_et - Total evaporative thermal resistance. + * @returns {math.Matrix} r_et - Total evaporative thermal resistance. */ export function wet_r( hc, @@ -18,16 +18,13 @@ export function wet_r( i_clo = JOS3Defaults.clothing_vapor_permeation_efficiency, lewis_rate = JOS3Defaults.lewis_rate, ) { - if (hc.some((hc) => hc < 0)) { + if (hc.toArray().some((hc) => hc < 0)) { throw new Error("Input parameter hc must be non-negative."); } let fcl = clo_area_factor(clo); - let r_cl = clo.map((clo) => 0.155 * clo); - let r_ea = hc.map((hc) => 1 / (lewis_rate * hc)); - let r_ecl = $map( - [r_cl, i_clo], - ([r_cl, i_clo]) => r_cl / (lewis_rate * i_clo), - ); - return $map([r_ea, fcl, r_ecl], ([r_ea, fcl, r_ecl]) => r_ea / fcl + r_ecl); + let r_cl = math.dotMultiply(0.155, clo); + let r_ea = math.dotDivide(1, math.dotMultiply(lewis_rate, hc)); + let r_ecl = math.dotDivide(r_cl, math.multiply(i_clo, lewis_rate)); + return math.add(math.dotDivide(r_ea, fcl), r_ecl); } diff --git a/src/models/JOS3.js b/src/models/JOS3.js index 11ab9c0..9f4cbc3 100644 --- a/src/models/JOS3.js +++ b/src/models/JOS3.js @@ -1,4 +1,10 @@ import JOS3Defaults from "../jos3_functions/JOS3Defaults.js"; +import { bsa_rate } from "../jos3_functions/bsa_rate.js"; +import { local_bsa } from "../jos3_functions/local_bsa.js"; +import { bfb_rate } from "../jos3_functions/bfb_rate.js"; +import { conductance } from "../jos3_functions/conductance.js"; +import { capacity } from "../jos3_functions/capacity.js"; +import * as math from "mathjs"; import { BODY_NAMES, INDEX, @@ -8,16 +14,12 @@ import { VINDEX, whole_body, } from "../jos3_functions/matrix.js"; -import { bsa_rate } from "../jos3_functions/bsa_rate.js"; -import { local_bsa } from "../jos3_functions/local_bsa.js"; -import { bfb_rate } from "../jos3_functions/bfb_rate.js"; -import { conductance } from "../jos3_functions/conductance.js"; -import { capacity } from "../jos3_functions/capacity.js"; -import { pmv } from "./pmv.js"; import { set_pre_shiv, shivering, } from "../jos3_functions/thermoregulation/shivering.js"; +import { basal_met } from "../jos3_functions/thermoregulation/basal_met.js"; +import { pmv } from "./pmv.js"; import { fixed_hc } from "../jos3_functions/thermoregulation/fixed_hc.js"; import { conv_coef } from "../jos3_functions/thermoregulation/conv_coef.js"; import { fixed_hr } from "../jos3_functions/thermoregulation/fixed_hr.js"; @@ -25,7 +27,6 @@ import { rad_coef } from "../jos3_functions/thermoregulation/rad_coef.js"; import { operative_temp } from "../jos3_functions/thermoregulation/operative_temp.js"; import { dry_r } from "../jos3_functions/thermoregulation/dry_r.js"; import { wet_r } from "../jos3_functions/thermoregulation/wet_r.js"; -import { $array, $average, $index, $map, $reduce, $sum } from "../supa.js"; import { antoine, evaporation, @@ -34,66 +35,105 @@ import { skin_blood_flow } from "../jos3_functions/thermoregulation/skin_blood_f import { ava_blood_flow } from "../jos3_functions/thermoregulation/ava_blood_flow.js"; import { nonshivering } from "../jos3_functions/thermoregulation/nonshivering.js"; import { local_mbase } from "../jos3_functions/thermoregulation/local_mbase.js"; -import { local_q_work } from "../jos3_functions/thermoregulation/local_q_work.js"; import { sum_m } from "../jos3_functions/thermoregulation/sum_m.js"; +import { local_q_work } from "../jos3_functions/thermoregulation/local_q_work.js"; import { cr_ms_fat_blood_flow } from "../jos3_functions/thermoregulation/cr_ms_fat_blood_flow.js"; import { resp_heat_loss } from "../jos3_functions/thermoregulation/resp_heat_loss.js"; import { sum_bf } from "../jos3_functions/thermoregulation/sum_bf.js"; -import { - add, - clone, - diag, - divide, - dotDivide, - dotMultiply, - identity, - index, - inv, - map, - matrix, - mean, - multiply, - reshape, - subset, - subtract, - sum, - zeros, -} from "mathjs"; -import { basal_met } from "../jos3_functions/thermoregulation/basal_met.js"; - +import Object from "lodash/object.js"; + +/** + * Create an array of shape (17,) with the given input. + * + * @param inp {number | number[] | object} + * @returns {math.Matrix} + */ function _to17array(inp) { if (typeof inp === "number") { - return Array(17).fill(inp); - } else if (inp instanceof Array) { - if (inp.length === 17) { - return [...inp]; - } else { - throw new Error("The input list is not of length 17"); - } - } else if (typeof inp === "object" && inp !== null) { - return BODY_NAMES.map((key) => inp[key]); - } else { - throw new Error( - "Unsupported input type. Supported types: number, Array, object", - ); + return math.multiply(math.ones(17), inp); } -} -function wmean(values, weights) { - if (values.length !== weights.length) { - throw new Error("Values and weights arrays must have the same length."); - } + if (math.isCollection(inp)) { + const size = math.size(inp).toArray(); + + if (!math.equal(size, [17])) { + throw new Error("Input list is not of length 17"); + } - // Calculate the sum of all products of values and their corresponding weights - const sumProduct = sum(multiply(values, weights)); + return math.matrix(inp); + } - // Calculate the sum of all weights - const sumWeights = sum(weights); + if (typeof inp === "object") { + return math.matrix(BODY_NAMES.map((name) => inp[name])); + } - return divide(sumProduct, sumWeights); + throw new Error("Unsupported input type. Supported types: number"); } +/** + * JOS-3 model simulates human thermal physiology including skin + * temperature, core temperature, sweating rate, etc. for the whole body and + * 17 local body parts. + * + * This model was developed at Shin-ichi Tanabe Laboratory, Waseda University + * and was derived from 65 Multi-Node model (https://doi.org/10.1016/S0378-7788(02)00014-2) + * and JOS-2 model (https://doi.org/10.1016/j.buildenv.2013.04.013). + * + * To use this model, create an instance of the JOS3 class with optional body parameters + * such as body height, weight, age, sex, etc. + * + * Environmental conditions such as air temperature, mean radiant temperature, air velocity, etc. + * can be set using the setter methods. (ex. X.tdb, X.tr X.v) + * If you want to set the different conditions in each body part, set them + * as a 17 lengths of list, dictionary, or numpy array format. + * + * List or numpy array format input must be 17 lengths and means the order of "head", "neck", "chest", + * "back", "pelvis", "left_shoulder", "left_arm", "left_hand", "right_shoulder", "right_arm", + * "right_hand", "left_thigh", "left_leg", "left_foot", "right_thigh", "right_leg" and "right_foot". + * + * The model output includes local and mean skin temperature, local core temperature, + * local and mean skin wettedness, and heat loss from the skin etc. + * The model output can be accessed using "dict_results()" method and be converted to a csv file + * using "to_csv" method. + * Each output parameter also can be accessed using getter methods. + * (ex. X.t_skin, X.t_skin_mean, X.t_core) + * + * If you use this package, please cite us as follows and mention the version of pythermalcomfort used: + * Y. Takahashi, A. Nomoto, S. Yoda, R. Hisayama, M. Ogata, Y. Ozeki, S. Tanabe, + * Thermoregulation Model JOS-3 with New Open Source Code, Energy & Buildings (2020), + * doi: https://doi.org/10.1016/j.enbuild.2020.110575 + * + * Note: To maintain consistency in variable names for jsthermalcomfort and pythermalcomfort, + * some variable names differ from those used in the original paper. + * + * @public + * @memberof models + * @docname JOS3 + */ export class JOS3 { + /** + * Initialize a new instance of JOS3 class, which is designed to model + * and simulate various physiological parameters related to human + * thermoregulation. + * + * This class uses mathematical models to calculate and predict + * body temperature, basal metabolic rate, body surface area, and + * other related parameters. + * + * @param {number} [height] - body height, in [m]. + * @param {number} [weight] - body weight, in [kg]. + * @param {number} [fat] - fat percentage, in [%]. + * @param {number} [age] - age, in [years]. + * @param {"male" | "female"} [sex] - sex. + * @param {number} [ci] - Cardiac index, in [L/min/m2]. + * @param {"harris-benedict" | "harris-benedict_origin" | "japanese" | "ganpule"} [bmr_equation] - The equation used + * to calculate basal metabolic rate (BMR). + * @param {"dubois" | "fujimoto" | "kruazumi" | "takahira"} [bsa_equation] - The equation used to calculate body + * surface area (bsa). + * @param {[] | "all"} [ex_output] - This is used when you want to display results other than the default output + * parameters (ex.skin temperature); by default, JOS outputs only the most necessary parameters in order to reduce + * the computational load. + */ constructor( height = JOS3Defaults.height, weight = JOS3Defaults.weight, @@ -103,14 +143,14 @@ export class JOS3 { ci = JOS3Defaults.cardiac_index, bmr_equation = JOS3Defaults.bmr_equation, bsa_equation = JOS3Defaults.bsa_equation, - ex_output = null, + ex_output = [], ) { // Initialize basic attributes this._height = height; this._weight = weight; this._fat = fat; - this._sex = sex; this._age = age; + this._sex = sex; this._ci = ci; this._bmr_equation = bmr_equation; this._bsa_equation = bsa_equation; @@ -132,27 +172,37 @@ export class JOS3 { this._cap = capacity(height, weight, bsa_equation, age, ci); // Set initial core and skin temperature set points [°C] - this.setpt_cr = Array(17).fill(JOS3Defaults.core_temperature); - this.setpt_sk = Array(17).fill(JOS3Defaults.skin_temperature); + this.setpt_cr = math.multiply(math.ones(17), JOS3Defaults.core_temperature); + this.setpt_sk = math.multiply(math.ones(17), JOS3Defaults.skin_temperature); // Initialize body temperature [°C] - this._bodytemp = Array(NUM_NODES).fill(JOS3Defaults.other_body_temperature); + this._bodytemp = math.multiply( + math.ones(NUM_NODES), + JOS3Defaults.other_body_temperature, + ); // Initialize environmental conditions and other factors // (Default values of input conditions) - this._ta = Array(17).fill(JOS3Defaults.dry_bulb_air_temperature); - this._tr = Array(17).fill(JOS3Defaults.mean_radiant_temperature); - this._rh = Array(17).fill(JOS3Defaults.relative_humidity); - this._va = Array(17).fill(JOS3Defaults.air_speed); - this._clo = Array(17).fill(JOS3Defaults.clothing_insulation); - this._iclo = Array(17).fill( + this._ta = math.multiply( + math.ones(17), + JOS3Defaults.dry_bulb_air_temperature, + ); + this._tr = math.multiply( + math.ones(17), + JOS3Defaults.mean_radiant_temperature, + ); + this._rh = math.multiply(math.ones(17), JOS3Defaults.relative_humidity); + this._va = math.multiply(math.ones(17), JOS3Defaults.air_speed); + this._clo = math.multiply(math.ones(17), JOS3Defaults.clothing_insulation); + this._iclo = math.multiply( + math.ones(17), JOS3Defaults.clothing_vapor_permeation_efficiency, ); this._par = JOS3Defaults.physical_activity_ratio; this._posture = JOS3Defaults.posture; this._hc = null; // Convective heat transfer coefficient this._hr = null; // Radiative heat transfer coefficient - this.ex_q = Array(NUM_NODES).fill(0); // External heat gain + this.ex_q = math.zeros(NUM_NODES); // External heat gain this._t = 0; // Elapsed time this._cycle = 0; // Cycle time this.model_name = "JOS3"; // Model name @@ -177,8 +227,45 @@ export class JOS3 { this._cycle = 0; // Cycle time // Reset set-point temperature and save the last model parameters - let dictout = this._reset_setpt(JOS3Defaults.physical_activity_ratio); - this._history.append(dictout); + const dictout = this._reset_setpt(JOS3Defaults.physical_activity_ratio); + this._history.push(dictout); + } + + /** + * Calculate operative temperature [°C] when PMV=0. + * + * @private + * + * @param va {number} - Air velocity [m/s]. + * @param rh {number} - Relative humidity [%]. + * @param met {number} - Metabolic rate [met]. + * @param clo {number} - Clothing insulation [clo]. + * + * @returns {number} + */ + _calculate_operative_temp_when_pmv_is_zero( + va = JOS3Defaults.air_speed, + rh = JOS3Defaults.relative_humidity, + met = JOS3Defaults.metabolic_rate, + clo = JOS3Defaults.clothing_insulation, + ) { + let to = 28; // initial operative temperature + + // Iterate until the PMV (Predicted Mean Vote) value is less than 0.001 + let vpmv; + for (let i = 0; i < 100; i++) { + vpmv = pmv(to, to, va, rh, met, clo); + + // Break the loop if the absolute value of PMV is less than 0.001 + if (math.abs(vpmv) < 0.001) { + break; + } + + // Update the temperature based on the PMV value + to = to - vpmv / 3; + } + + return to; } /** @@ -188,23 +275,31 @@ export class JOS3 { * This function is used during initialization to calculate the set-point temperatures as a reference for thermoregulation. * Be careful, input parameters (tdb, tr, rh, v, clo, par) and body temperatures are also reset. * - * @returns {Object} Parameters of JOS-3 model. + * @private + * + * @param par {number} - Physical activity ratio. */ _reset_setpt(par = JOS3Defaults.physical_activity_ratio) { // Set operative temperature under PMV=0 environment // 1 met = 58.15 W/m2 - let w_per_m2_to_met = 1 / 58.15; // unit converter W/m2 to met - let met = this.bmr * par * w_per_m2_to_met; // [met] - this.to = this._calculate_operative_temp_when_pmv_is_zero(met); + const w_per_m2_to_met = 1 / 58.15; // unit converter W/m2 to met + const met = this.bmr * par * w_per_m2_to_met; // [met] + + this.to = this._calculate_operative_temp_when_pmv_is_zero( + undefined, + undefined, + met, + undefined, + ); this.rh = JOS3Defaults.relative_humidity; this.v = JOS3Defaults.air_speed; this.clo = JOS3Defaults.clothing_insulation; - this.par = par; // Physical activity ratio + this.par = par; - // Steady-calculation + // Steady-calculatio this.options["ava_zero"] = true; - let dict_out = {}; + let dict_out; for (let i = 0; i < 10; i++) { dict_out = this._run(60000, true); } @@ -217,65 +312,28 @@ export class JOS3 { return dict_out; } - /** - * Calculate operative temperature [°C] when PMV=0. - * - * @param {number} [va=JOS3Defaults.air_speed] - Air velocity [m/s]. - * @param {number} [rh=JOS3Defaults.relative_humidity] - Relative humidity [%]. - * @param {number} [met=JOS3Defaults.metabolic_rate] - Metabolic rate [met]. - * @param {number} [clo=JOS3Defaults.clothing_insulation] - Clothing insulation [clo]. - * - * @returns {number} Operative temperature [°C]. - */ - _calculate_operative_temp_when_pmv_is_zero( - va = JOS3Defaults.air_speed, - rh = JOS3Defaults.relative_humidity, - met = JOS3Defaults.metabolic_rate, - clo = JOS3Defaults.clothing_insulation, - ) { - let to = 28; // initial operative temperature - - // Iterate until the PMV (Predicted Mean Vote) value is less than 0.001 - for (let i = 0; i < 100; i++) { - let vpmv = pmv(to, to, va, undefined, rh, met, clo); - - // Break the loop if the absolute value of PMV is less than 0.001 - if (Math.abs(vpmv) < 0.001) { - break; - } - - // Update the temperature based on the PMV value - to = to - vpmv / 3; - } - - return to; - } - /** * Run JOS-3 model. * - * @param {number} times - Number of loops of a simulation. - * @param {number} [dtime=60] - Time delta in seconds. - * @param {boolean} [output=true] - If you don't want to record parameters, set to false. - * @returns {void} + * @property {number} times - Number of loops of a simulation. + * @property {number} [dtime=60] - Time delta in seconds. + * @property {boolean} [output=true] - If you don't want to record parameters, set False. */ simulate(times, dtime = 60, output = true) { // Loop through the simulation for the given number of times for (let i = 0; i < times; i++) { // Increment the elapsed time by the time delta - // Assuming you have a method or logic to increment `_t` with dtime - this._t += dtime; // This line might need further adjustment depending on how `_t` is used in your code + this._t += dtime; // Increment the cycle counter - this._cycle++; + this._cycle += 1; // Execute the simulation step - // Assuming `_run` is a method on this class - const dictData = this._run(dtime, output); + const dict_data = this._run(dtime, undefined, output); - // If output is true, append the results to the history + // If output is True, append the results to the history if (output) { - this._history.push(dictData); + this._history.push(dict_data); } } } @@ -302,13 +360,20 @@ export class JOS3 { * the function also returns a detailed dictionary of all the thermoregulation parameters * and other variables used in the simulation. * - * @param {number} [dtime=60] - Time delta [sec]. Default is 60. - * @param {boolean} [passive=false] - If you run a passive model, set to True. Default is False. - * @param {boolean} [output=true] - If you don't need parameters, set to False. Default is True. + * @private + * + * @param {number} dtime - Time delta [sec]. + * @param {boolean} passive - If you run a passive model. + * @param {boolean} output - If you don't need parameters. * - * @returns {Object} - Output parameters. + * @returns {object} */ _run(dtime = 60, passive = false, output = true) { + // Compute convective and radiative heat transfer coefficient [W/(m2*K)] + // based on posture, air velocity, air temperature, and skin temperature. + // Manual setting is possible by setting self._hc and self._hr. + // Compute heat and evaporative heat resistance [m2.K/W], [m2.kPa/W] + // Get core and skin temperatures let tcr = this.t_core; let tsk = this.t_skin; @@ -318,12 +383,14 @@ export class JOS3 { conv_coef(this._posture, this._va, this._ta, tsk), this._va, ); + let hr = fixed_hr(rad_coef(this._posture)); // Manually set convective and radiative heat transfer coefficients if necessary if (this._hc !== null) { hc = this._hc; } + if (this._hr !== null) { hr = this._hr; } @@ -331,15 +398,19 @@ export class JOS3 { // Compute operative temp. [°C], clothing heat and evaporative resistance [m2.K/W], [m2.kPa/W] // Operative temp. [°C] let to = operative_temp(this._ta, this._tr, hc, hr); + // Clothing heat resistance [m2.K/W] let r_t = dry_r(hc, hr, this._clo); + // Clothing evaporative resistance [m2.kPa/W] let r_et = wet_r(hc, this._clo, this._iclo); + // ------------------------------------------------------------------ // Thermoregulation // 1) Sweating // 2) Vasoconstriction, Vasodilation // 3) Shivering and non-shivering thermogenesis + // ------------------------------------------------------------------ // Compute the difference between the set-point temperature and body temperatures // and other thermoregulation parameters. @@ -347,21 +418,16 @@ export class JOS3 { // set to the current body temperature. // set-point temperature for thermoregulation - - let setpt_sk, setpt_cr; - if (passive) { - setpt_cr = tcr; - setpt_sk = tsk; - } else { - setpt_cr = this.setpt_cr; - setpt_sk = this.setpt_sk; - } + let setpt_cr = passive ? tcr.clone() : this.setpt_cr.clone(); + let setpt_sk = passive ? tsk.clone() : this.setpt_sk.clone(); // Error signal = Difference between set-point and body temperatures - let err_cr = subtract(tcr, setpt_cr); - let err_sk = subtract(tsk, setpt_sk); + let err_cr = math.subtract(tcr, setpt_cr); + let err_sk = math.subtract(tsk, setpt_sk); // SWEATING THERMOREGULATION + // Skin wettedness [-], e_skin, e_max, e_sweat [W] + // Calculate skin wettedness, sweating heat loss, maximum sweating rate, and total sweat rate let { wet, e_sk, e_max, e_sweat } = evaporation( err_cr, err_sk, @@ -376,6 +442,7 @@ export class JOS3 { ); // VASOCONSTRICTION, VASODILATION + // Calculate skin blood flow and basal skin blood flow [L/h] let bf_skin = skin_blood_flow( err_cr, err_sk, @@ -386,7 +453,8 @@ export class JOS3 { this._ci, ); - let bloodFlows = ava_blood_flow( + // Calculate hands and feet's AVA blood flow [L/h] + let { bf_ava_hand, bf_ava_foot } = ava_blood_flow( err_cr, err_sk, this._height, @@ -395,15 +463,14 @@ export class JOS3 { this._age, this._ci, ); - let bf_ava_hand = bloodFlows[0]; - let bf_ava_foot = bloodFlows[1]; - if (this.options.ava_zero && passive) { + if (this.options["ava_zero"] && passive) { bf_ava_hand = 0; bf_ava_foot = 0; } // SHIVERING AND NON-SHIVERING + // Calculate shivering thermogenesis [W] let q_shiv = shivering( err_cr, err_sk, @@ -419,22 +486,21 @@ export class JOS3 { ); // Calculate non-shivering thermogenesis (NST) [W] - let q_nst; - if (this.options.nonshivering_thermogenesis) { - q_nst = nonshivering( - err_sk, - this._height, - this._weight, - this._bsa_equation, - this._age, - this.options.cold_acclimated, - this.options.bat_positive, - ); - } else { - q_nst = new Array(17).fill(0); - } + let q_nst = this.options["nonshivering_thermogenesis"] + ? nonshivering( + err_sk, + this._height, + this._weight, + this._bsa_equation, + this._age, + this.options["cold_acclimated"], + this.options["bat_positive"], + ) + : math.zeros(17); + // ------------------------------------------------------------------ // Thermogenesis + // ------------------------------------------------------------------ // Calculate local basal metabolic rate (BMR) [W] let q_bmr_local = local_mbase( @@ -446,31 +512,36 @@ export class JOS3 { ); // Calculate overall basal metabolic rate (BMR) [W] - let q_bmr_total = q_bmr_local - .map((m) => m.reduce((a, b) => a + b, 0)) - .reduce((a, b) => a + b, 0); + let q_bmr_total = math.sum(q_bmr_local.map((q) => math.sum(q))); // Calculate thermogenesis by work [W] let q_work = local_q_work(q_bmr_total, this._par); // Calculate the sum of thermogenesis in core, muscle, fat, skin [W] - let [ + let { q_thermogenesis_core, q_thermogenesis_muscle, q_thermogenesis_fat, q_thermogenesis_skin, - ] = sum_m(q_bmr_local, q_work, q_shiv, q_nst); + } = sum_m( + q_bmr_local.map((c) => c.clone()), + q_work, + q_shiv, + q_nst, + ); let q_thermogenesis_total = - q_thermogenesis_core.reduce((a, b) => a + b, 0) + - q_thermogenesis_muscle.reduce((a, b) => a + b, 0) + - q_thermogenesis_fat.reduce((a, b) => a + b, 0) + - q_thermogenesis_skin.reduce((a, b) => a + b, 0); + math.sum(q_thermogenesis_core) + + math.sum(q_thermogenesis_muscle) + + math.sum(q_thermogenesis_fat) + + math.sum(q_thermogenesis_skin); + // ------------------------------------------------------------------ // Others + // ------------------------------------------------------------------ // Calculate blood flow in core, muscle, fat [L/h] - let [bf_core, bf_muscle, bf_fat] = cr_ms_fat_blood_flow( + let { bf_core, bf_muscle, bf_fat } = cr_ms_fat_blood_flow( q_work, q_shiv, this._height, @@ -481,15 +552,21 @@ export class JOS3 { ); // Calculate heat loss by respiratory - let p_a = (antoine(this._ta) * this._rh) / 100; - let [res_sh, res_lh] = resp_heat_loss( - this._ta[0], - p_a[0], + let p_a = math.dotDivide( + math.dotMultiply(this._ta.map(antoine), this._rh), + 100, + ); + let { res_sh, res_lh } = resp_heat_loss( + this._ta.get([0]), + p_a.get([0]), q_thermogenesis_total, ); // Calculate sensible heat loss [W] - let shl_sk = ((tsk - to) / r_t) * this._bsa; + let shl_sk = math.dotMultiply( + math.dotDivide(math.subtract(tsk, to), r_t), + this._bsa, + ); // Calculate cardiac output [L/h] let co = sum_bf( @@ -502,24 +579,29 @@ export class JOS3 { ); // Calculate weight loss rate by evaporation [g/sec] - let wlesk = (e_sweat + 0.06 * e_max) / 2418; + let wlesk = math.dotDivide( + math.add(e_sweat, math.dotMultiply(0.06, e_max)), + 2418, + ); let wleres = res_lh / 2418; + // ------------------------------------------------------------------ // Matrix // This code section is focused on constructing and calculating // various matrices required for modeling the thermoregulation // of the human body. // Since JOS-3 has 85 thermal nodes, the determinant of 85*85 is to be solved. + // ------------------------------------------------------------------ // Matrix A = Matrix for heat exchange due to blood flow and conduction occurring between tissues + // (85, 85,) ndarray // Calculates the blood flow in arteries and veins for core, muscle, fat, skin, // and arteriovenous anastomoses (AVA) in hands and feet, // and combines them into two arrays: // 1) bf_local for the local blood flow and 2) bf_whole for the whole-body blood flow. // These arrays are then combined to form arr_bf. - - let [bf_art, bf_vein] = vessel_blood_flow( + let { bf_art, bf_vein } = vessel_blood_flow( bf_core, bf_muscle, bf_fat, @@ -527,6 +609,7 @@ export class JOS3 { bf_ava_hand, bf_ava_foot, ); + let bf_local = local_arr( bf_core, bf_muscle, @@ -535,135 +618,152 @@ export class JOS3 { bf_ava_hand, bf_ava_foot, ); - let bf_whole = whole_body(bf_art, bf_vein, bf_ava_hand, bf_ava_foot); - // Initialize arr_bf with zeros using mathjs matrix - let arr_bf = zeros(NUM_NODES, NUM_NODES); + let bf_whole = whole_body(bf_art, bf_vein, bf_ava_hand, bf_ava_foot); - // Add bf_local and bf_whole to arr_bf - arr_bf = add(arr_bf, bf_local); - arr_bf = add(arr_bf, bf_whole); + let arr_bf = math.zeros(NUM_NODES, NUM_NODES); + arr_bf = math.add(arr_bf, bf_local); + arr_bf = math.add(arr_bf, bf_whole); // Adjusts the units of arr_bf from [W/K] to [/sec] and then to [-] - // by dividing by the heat capacity this._cap and multiplying by the time step dtime. - let reshaped_cap = reshape(this._cap, [NUM_NODES, 1]); - arr_bf = dotDivide(arr_bf, reshaped_cap); // Change unit [W/K] to [/sec] - arr_bf = multiply(arr_bf, dtime); // Change unit [/sec] to [-] + // by dividing by the heat capacity self._cap and multiplying by the time step dtime. + arr_bf = math.dotDivide(arr_bf, math.reshape(this._cap, [NUM_NODES, 1])); // Change unit [W/K] to [/sec] + arr_bf = math.dotMultiply(arr_bf, dtime); // Change unit [/sec] to [-] // Performs similar unit conversions for the convective heat transfer coefficient array arr_cdt - // (also divided by this._cap and multiplied by dtime). - let arr_cdt = clone(this._cdt); - arr_cdt = dotDivide(arr_cdt, reshaped_cap); // Change unit [W/K] to [/sec] - arr_cdt = multiply(arr_cdt, dtime); // Change unit [/sec] to [-] + // (also divided by self._cap and multiplied by dtime). + let arr_cdt = this._cdt.clone(); + arr_cdt = math.dotDivide(arr_cdt, math.reshape(this._cap, [NUM_NODES, 1])); // Change unit [W/K] to [/sec] + arr_cdt = math.dotMultiply(arr_cdt, dtime); // Change unit [/sec] to [-] // Matrix B = Matrix for heat transfer between skin and environment - let arr_b = zeros(NUM_NODES); - - // Updating arr_b based on INDEX["skin"] - INDEX["skin"].forEach((idx, i) => { - arr_b[idx] += (1 / r_t) * this._bsa[i]; - }); - - // Using mathjs library for array operations - arr_b = dotDivide(arr_b, this._cap); - arr_b = multiply(arr_b, dtime); + let arr_b = math.zeros(NUM_NODES); + arr_b = math.subset( + arr_b, + math.index(INDEX["skin"]), + math.add( + math.subset(arr_b, math.index(INDEX["skin"])), + math.dotMultiply(math.dotDivide(1, r_t), this._bsa), + ), + ); + arr_b = math.dotDivide(arr_b, this._cap); // Change unit [W/K] to [/sec] + arr_b = math.dotMultiply(arr_b, dtime); // Change unit [/sec] to [-] - // Calculates the off-diagonal and diagonal elements of the matrix A - let arr_a_tria = subtract(multiply(-1, arr_cdt), arr_bf); + // Calculates the off-diagonal and diagonal elements of the matrix A, + // which represents the heat transfer coefficients between different parts of the body, + // and combines them to form the full matrix A (arrA). + // Then, the inverse of matrix A is computed (arrA_inv). + let arr_a_tria = math.dotMultiply(math.add(arr_cdt, arr_bf), -1); - let arr_a_dia = add(arr_cdt, arr_bf); - arr_a_dia = add(sum(arr_a_dia, 1), arr_b); // Assuming 'axis=1' means summing along rows - arr_a_dia = diag(arr_a_dia); - arr_a_dia = add(arr_a_dia, identity(NUM_NODES)); + let arr_a_dia = math.add(arr_cdt, arr_bf); + arr_a_dia = math.add(math.sum(arr_a_dia, 1), arr_b); + arr_a_dia = math.diag(arr_a_dia); + arr_a_dia = math.add(arr_a_dia, math.identity(NUM_NODES)); - let arr_a = add(arr_a_tria, arr_a_dia); - let arr_a_inv = inv(arr_a); + let arr_a = math.add(arr_a_tria, arr_a_dia); + let arr_a_inv = math.inv(arr_a); // Matrix Q = Matrix for heat generation rate from thermogenesis, respiratory, sweating, // and extra heat gain processes in different body parts. - let arr_q = zeros(NUM_NODES); + // Matrix Q [W] / [J/K] * [sec] = [-] // Thermogensis - arr_q = add( + let arr_q = math.zeros(NUM_NODES); + arr_q = math.subset( arr_q, - subset(zeros(NUM_NODES), index(INDEX["core"]), q_thermogenesis_core), + math.index(INDEX["core"]), + math.add( + math.subset(arr_q, math.index(INDEX["core"])), + q_thermogenesis_core, + ), ); - arr_q = add( + arr_q = math.subset( arr_q, - subset( - zeros(NUM_NODES), - index(INDEX["muscle"]), - subset(q_thermogenesis_muscle, index(VINDEX["muscle"])), + math.index(INDEX["muscle"]), + math.add( + math.subset(arr_q, math.index(INDEX["muscle"])), + math.subset(q_thermogenesis_muscle, math.index(VINDEX["muscle"])), ), ); - arr_q = add( + + arr_q = math.subset( arr_q, - subset( - zeros(NUM_NODES), - index(INDEX["fat"]), - subset(q_thermogenesis_fat, index(VINDEX["fat"])), + math.index(INDEX["fat"]), + math.add( + math.subset(arr_q, math.index(INDEX["fat"])), + math.subset(q_thermogenesis_fat, math.index(VINDEX["fat"])), ), ); - arr_q = add( + + arr_q = math.subset( arr_q, - subset(zeros(NUM_NODES), index(INDEX["skin"]), q_thermogenesis_skin), + math.index(INDEX["skin"]), + math.add( + math.subset(arr_q, math.index(INDEX["skin"])), + q_thermogenesis_skin, + ), ); // Respiratory [W] - arr_q[INDEX["core"][2]] -= res_sh + res_lh; // chest core + arr_q.set( + [INDEX["core"][2]], + arr_q.get([INDEX["core"][2]]) - (res_sh + res_lh), + ); // chest core // Sweating [W] - arr_q = subtract( + arr_q = math.subset( arr_q, - subset(zeros(NUM_NODES), index(INDEX["skin"]), e_sk), + math.index(INDEX["skin"]), + math.subtract(math.subset(arr_q, math.index(INDEX["skin"])), e_sk), ); // Extra heat gain [W] - arr_q = add(arr_q, this.ex_q); + arr_q = math.add(arr_q, this.ex_q.clone()); - // Adjust units - arr_q = dotDivide(arr_q, this._cap); // Change unit [W]/[J/K] to [K/sec] - arr_q = multiply(arr_q, dtime); // Change unit [K/sec] to [K] + arr_q = math.dotDivide(arr_q, this._cap); // Change unit [W]/[J/K] to [K/sec] + arr_q = math.dotMultiply(arr_q, dtime); // Change unit [K/sec] to [K] - // Boundary matrix [°C] - let arr_to = zeros(NUM_NODES); - arr_to = add(arr_to, subset(zeros(NUM_NODES), index(INDEX["skin"]), to)); + // Boundary batrix [°C] + let arr_to = math.zeros(NUM_NODES); + arr_to = math.subset( + arr_to, + math.index(INDEX["skin"]), + math.add(math.subset(arr_to, math.index(INDEX["skin"])), to), + ); // Combines the current body temperature, the boundary matrix, and the heat generation matrix // to calculate the new body temperature distribution (arr). - let arr = add(add(this._bodytemp, dotMultiply(arr_b, arr_to)), arr_q); - - console.log(arr_b); - console.log(arr_to); - console.log(arr_q); - console.log(arr_a_inv); - console.log(arr); + let arr = math.add( + math.add(this._bodytemp, math.dotMultiply(arr_b, arr_to)), + arr_q, + ); // ------------------------------------------------------------------ // New body temp. [°C] // ------------------------------------------------------------------ - this._bodytemp = dotMultiply(arr_a_inv, arr); + this._bodytemp = math.multiply(arr_a_inv, arr); // ------------------------------------------------------------------ // Output parameters // ------------------------------------------------------------------ let dict_out = {}; if (output) { - // Default output dict_out["cycle_time"] = this._cycle; dict_out["simulation_time"] = this._t; dict_out["dt"] = dtime; dict_out["t_skin_mean"] = this.t_skin_mean; - dict_out["t_skin"] = this.t_skin; - dict_out["t_core"] = this.t_core; - dict_out["w_mean"] = $average(wet, JOS3Defaults.local_bsa); - dict_out["w"] = wet; - dict_out["weight_loss_by_evap_and_res"] = $sum(wlesk) + wleres; + dict_out["t_skin"] = this.t_skin.toArray(); + dict_out["t_core"] = this.t_core.toArray(); + dict_out["w_mean"] = + math.sum(math.dotMultiply(wet, JOS3Defaults.local_bsa)) / + math.sum(JOS3Defaults.local_bsa); + dict_out["w"] = wet.toArray(); + dict_out["weight_loss_by_evap_and_res"] = math.sum(wlesk) + wleres; dict_out["cardiac_output"] = co; dict_out["q_thermogenesis_total"] = q_thermogenesis_total; dict_out["q_res"] = res_sh + res_lh; - dict_out["q_skin2env"] = shl_sk + e_sk; + dict_out["q_skin2env"] = math.add(shl_sk, e_sk).toArray(); } let detail_out = {}; @@ -671,68 +771,85 @@ export class JOS3 { detail_out["name"] = this.model_name; detail_out["height"] = this._height; detail_out["weight"] = this._weight; - detail_out["bsa"] = this._bsa; + detail_out["bsa"] = this._bsa.toArray(); detail_out["fat"] = this._fat; detail_out["sex"] = this._sex; detail_out["age"] = this._age; - detail_out["t_core_set"] = setpt_cr; - detail_out["t_skin_set"] = setpt_sk; + detail_out["t_core_set"] = setpt_cr.toArray(); + detail_out["t_skin_set"] = setpt_sk.toArray(); detail_out["t_cb"] = this.t_cb; - detail_out["t_artery"] = this.t_artery; - detail_out["t_vein"] = this.t_vein; - detail_out["t_superficial_vein"] = this.t_superficial_vein; - detail_out["t_muscle"] = this.t_muscle; - detail_out["t_fat"] = this.t_fat; - detail_out["to"] = to; - detail_out["r_t"] = r_t; - detail_out["r_et"] = r_et; - detail_out["tdb"] = this._ta.slice(); - detail_out["tr"] = this._tr.slice(); - detail_out["rh"] = this._rh.slice(); - detail_out["v"] = this._va.slice(); + detail_out["t_artery"] = this.t_artery.toArray(); + detail_out["t_vein"] = this.t_vein.toArray(); + detail_out["t_superficial_vein"] = this.t_superficial_vein.toArray(); + detail_out["t_muscle"] = this.t_muscle.toArray(); + detail_out["t_fat"] = this.t_fat.toArray(); + detail_out["to"] = to.toArray(); + detail_out["r_t"] = r_t.toArray(); + detail_out["r_et"] = r_et.toArray(); + detail_out["tdb"] = this._ta.clone().toArray(); + detail_out["tr"] = this._tr.clone().toArray(); + detail_out["rh"] = this._rh.clone().toArray(); + detail_out["v"] = this._va.clone().toArray(); detail_out["par"] = this._par; - detail_out["clo"] = this._clo.slice(); - detail_out["e_skin"] = e_sk; - detail_out["e_max"] = e_max; - detail_out["e_sweat"] = e_sweat; - detail_out["bf_core"] = bf_core; - detail_out["bf_muscle"] = bf_muscle[VINDEX["muscle"]]; - detail_out["bf_fat"] = bf_fat[VINDEX["fat"]]; - detail_out["bf_skin"] = bf_skin; + detail_out["clo"] = this._clo.clone().toArray(); + detail_out["e_skin"] = e_sk.toArray(); + detail_out["e_max"] = e_max.toArray(); + detail_out["e_sweat"] = e_sweat.toArray(); + detail_out["bf_core"] = bf_core.toArray(); + detail_out["bf_muscle"] = math + .subset(bf_muscle, math.index(VINDEX["muscle"])) + .toArray(); + detail_out["bf_fat"] = math + .subset(bf_fat, math.index(VINDEX["fat"])) + .toArray(); + detail_out["bf_skin"] = bf_skin.toArray(); detail_out["bf_ava_hand"] = bf_ava_hand; detail_out["bf_ava_foot"] = bf_ava_foot; - detail_out["q_bmr_core"] = q_bmr_local[0]; - detail_out["q_bmr_muscle"] = q_bmr_local[1][VINDEX["muscle"]]; - detail_out["q_bmr_fat"] = q_bmr_local[2][VINDEX["fat"]]; - detail_out["q_bmr_skin"] = q_bmr_local[3]; - detail_out["q_work"] = q_work; - detail_out["q_shiv"] = q_shiv; - detail_out["q_nst"] = q_nst; - detail_out["q_thermogenesis_core"] = q_thermogenesis_core; - detail_out["q_thermogenesis_muscle"] = - q_thermogenesis_muscle[VINDEX["muscle"]]; - detail_out["q_thermogenesis_fat"] = q_thermogenesis_fat[VINDEX["fat"]]; - detail_out["q_thermogenesis_skin"] = q_thermogenesis_skin; - dict_out["q_skin2env_sensible"] = shl_sk; - dict_out["q_skin2env_latent"] = e_sk; + detail_out["q_bmr_core"] = q_bmr_local[0].toArray(); + detail_out["q_bmr_muscle"] = math + .subset(q_bmr_local[1], math.index(VINDEX["muscle"])) + .toArray(); + detail_out["q_bmr_fat"] = math + .subset(q_bmr_local[2], math.index(VINDEX["fat"])) + .toArray(); + detail_out["q_bmr_skin"] = q_bmr_local[3].toArray(); + detail_out["q_work"] = q_work.toArray(); + detail_out["q_shiv"] = q_shiv.toArray(); + detail_out["q_nst"] = q_nst.toArray(); + detail_out["q_thermogenesis_core"] = q_thermogenesis_core.toArray(); + detail_out["q_thermogenesis_muscle"] = math + .subset(q_thermogenesis_muscle, math.index(VINDEX["muscle"])) + .toArray(); + detail_out["q_thermogenesis_fat"] = math + .subset(q_thermogenesis_fat, math.index(VINDEX["fat"])) + .toArray(); + detail_out["q_thermogenesis_skin"] = q_thermogenesis_skin.toArray(); + dict_out["q_skin2env_sensible"] = shl_sk.toArray(); + dict_out["q_skin2env_latent"] = e_sk.toArray(); dict_out["q_res_sensible"] = res_sh; dict_out["q_res_latent"] = res_lh; } if (this._ex_output === "all") { - dict_out = Object.assign({}, dict_out, detail_out); + dict_out = { ...dict_out, ...detail_out }; } else if (Array.isArray(this._ex_output)) { - let out_keys = Object.keys(detail_out); - this._ex_output.forEach((key) => { + const out_keys = Object.keys(detail_out); + + for (const key in this._ex_output) { if (out_keys.includes(key)) { dict_out[key] = detail_out[key]; } - }); + } } return dict_out; } + /** + * Get results as a dictionary with the model values. + * + * @returns {object} + */ dict_results() { if (!this._history || this._history.length === 0) { console.log("The model has no data."); @@ -740,103 +857,112 @@ export class JOS3 { } const checkWordContain = (word, ...args) => { - for (let arg of args) { - if (word.includes(arg)) { - return true; - } - } - return false; + return args.some((arg) => word.includes(arg)); }; - let key2keys = {}; // Map for column keys - - for (let key in this._history[0]) { - let value = this._history[0][key]; - let keys = []; - try { - let length = value.length; + let key2keys = {}; // Column keys + for (let [key, value] of Object.entries(this._history[0])) { + let keys; + if (value.length !== undefined) { if (typeof value === "string") { - keys = [key]; + keys = [key]; // string is iter. Convert to list without suffix } else if (checkWordContain(key, "sve", "sfv", "superficialvein")) { keys = VINDEX["sfvein"].map((i) => `${key}_${BODY_NAMES[i]}`); } else if (checkWordContain(key, "ms", "muscle")) { keys = VINDEX["muscle"].map((i) => `${key}_${BODY_NAMES[i]}`); } else if (checkWordContain(key, "fat")) { keys = VINDEX["fat"].map((i) => `${key}_${BODY_NAMES[i]}`); - } else if (length === 17) { + } else if (value.length === 17) { keys = BODY_NAMES.map((bn) => `${key}_${bn}`); } else { keys = Array.from( - { length: length }, + { length: value.length }, (_, i) => `${key}_${BODY_NAMES[i]}`, ); } - } catch (error) { - if (error instanceof TypeError) { - keys = [key]; - } + } else { + keys = [key]; } + key2keys[key] = keys; } - let data = []; - for (let dictout of this._history) { + let data = this._history.map((dictout) => { let row = {}; - for (let key in dictout) { + for (let [key, value] of Object.entries(dictout)) { let keys = key2keys[key]; - let values = keys.length === 1 ? [dictout[key]] : dictout[key]; - row = { - ...row, - ...Object.fromEntries(keys.map((k, index) => [k, values[index]])), - }; + let values = keys.length === 1 ? [value] : value; + keys.forEach((k, i) => { + row[k] = values[i]; + }); } - data.push(row); - } + return row; + }); - let out_dict = Object.fromEntries(Object.keys(data[0]).map((k) => [k, []])); - for (let row of data) { - for (let k in data[0]) { - out_dict[k].push(row[k]); - } - } + let outDict = {}; + Object.keys(data[0]).forEach((key) => { + outDict[key] = data.map((row) => row[key]); + }); - return out_dict; + return outDict; } /** * Set extra heat gain by tissue name. * - * @param {string} tissue - Tissue name. Can be "core", "skin", "artery"..., - * If you want to set value to head muscle and other segment's core, - * use "all_muscle". - * @param {(number|number[])} value - Heat gain [W] - * @returns {number[]} Extra heat gain of model. + * @private + * + * @param {string} tissue - Tissue name. "core", "skin", or "artery".... If you set value to head muscle and other segment's core, set "all_muscle". + * @param {number | math.MathCollection} value - Heat gain [W] + * + * @return {math.MathCollection} Extra heat gain of model. */ _set_ex_q(tissue, value) { - this.ex_q[INDEX[tissue]] = value; - return self.ex_q; + this.ex_q = math.subset(this.ex_q, math.index(INDEX[tissue]), value); + return this.ex_q; } + /** + * Dry-bulb air temperature. + * + * @return {math.Matrix} + */ get tdb() { return this._ta; } + /** + * @param inp {number | number[] | object | math.Matrix} + */ set tdb(inp) { this._ta = _to17array(inp); } + /** + * Mean radiant temperature [°C]. + * + * @return {math.Matrix} + */ get tr() { return this._tr; } + /** + * @param inp {number | number[] | object | math.Matrix} + */ set tr(inp) { this._tr = _to17array(inp); } + /** + * Operative temperature [°C]. + * + * @return {math.Matrix} + */ get to() { const hc = fixed_hc( conv_coef(this._posture, this._va, this._ta, this.t_skin), - self._va, + this._va, ); const hr = fixed_hr(rad_coef(this._posture)); @@ -844,31 +970,58 @@ export class JOS3 { return operative_temp(this._ta, this._tr, hc, hr); } + /** + * @param inp {number | number[] | object | math.Matrix} + */ set to(inp) { this._ta = _to17array(inp); this._tr = _to17array(inp); } + /** + * Relative humidity [%]. + * + * @return {math.Matrix} + */ get rh() { return this._rh; } + /** + * @param inp {number | number[] | object | math.Matrix} + */ set rh(inp) { this._rh = _to17array(inp); } + /** + * Air velocity [m/s]. + * + * @return {math.Matrix} + */ get v() { return this._va; } + /** + * @param inp {number | number[] | object | math.Matrix} + */ set v(inp) { this._va = _to17array(inp); } + /** + * Current JOS3 posture. + * + * @return {string} + */ get posture() { return this._posture; } + /** + * @param inp {number | string} + */ set posture(inp) { if (inp === 0) { this._posture = "standing"; @@ -876,15 +1029,12 @@ export class JOS3 { this._posture = "sitting"; } else if (inp === 2) { this._posture = "lying"; - } else if (typeof inp === "string") { - const lowerInput = inp.toLowerCase(); - if (lowerInput === "standing") { - this._posture = "standing"; - } else if (["sitting", "sedentary"].includes(lowerInput)) { - this._posture = "sitting"; - } else if (["lying", "supine"].includes(lowerInput)) { - this._posture = "lying"; - } + } else if (inp.toLowerCase() === "standing") { + this._posture = "standing"; + } else if (["sitting", "sedentary"].includes(inp.toLowerCase())) { + this._posture = "sitting"; + } else if (["lying", "supine"].includes(inp.toLowerCase())) { + this._posture = "lying"; } else { this._posture = "standing"; console.log('posture must be 0="standing", 1="sitting" or 2="lying".'); @@ -892,38 +1042,72 @@ export class JOS3 { } } + /** + * Clothing insulation [clo]. + * + * @return {math.Matrix} + */ get clo() { return this._clo; } + /** + * @param inp {number | number[] | object | math.Matrix} + */ set clo(inp) { this._clo = _to17array(inp); } + /** + * Physical activity ratio [-].This equals the ratio of metabolic rate to basal metabolic rate. par of sitting quietly is 1.2. + * + * @return {number} + */ get par() { return this._par; } + /** + * @param inp {number} + */ set par(inp) { this._par = inp; } + /** + * All segment temperatures of JOS-3. + * + * @return {math.Matrix} + */ get body_temp() { return this._bodytemp; } + /** + * @param inp {math.Matrix} + */ set body_temp(inp) { - this._bodytemp = inp.slice(); + this._bodytemp = inp.clone(); } + /** + * Body surface areas by local body segments [m2]. + * + * @return {math.Matrix} + */ get bsa() { - return this._bsa.slice(); + return this._bsa.clone(); } + /** + * Dry heat resistances between the skin and ambience areas by local body segments [(m2*K)/W]. + * + * @return {math.Matrix} + */ get r_t() { const hc = fixed_hc( conv_coef(this._posture, this._va, this._ta, this.t_skin), - self._va, + this._va, ); const hr = fixed_hr(rad_coef(this._posture)); @@ -931,23 +1115,33 @@ export class JOS3 { return dry_r(hc, hr, this._clo); } + /** + * w (Evaporative) heat resistances between the skin and ambience areas by local body segments [(m2*kPa)/W]. + * + * @return {math.Matrix} + */ get r_et() { const hc = fixed_hc( conv_coef(this._posture, this._va, this._ta, this.t_skin), - self._va, + this._va, ); - const hr = fixed_hr(rad_coef(this._posture)); - return wet_r(hc, this._clo, this._iclo); } + /** + * Skin wettedness on local body segments [-]. + * + * @return {math.Matrix} + */ get w() { - const err_cr = subtract(this.t_core, this.setpt_cr); - const err_sk = subtract(this.t_skin, this.setpt_sk); + const err_cr = math.subtract(this.t_core, this.setpt_cr); + const err_sk = math.subtract(this.t_skin, this.setpt_sk); + const { wet } = evaporation( err_cr, err_sk, + this.t_skin, this._ta, this._rh, this.r_et, @@ -958,66 +1152,138 @@ export class JOS3 { return wet; } + /** + * Mean skin wettedness of the whole body [-]. + * + * @return {number} + */ get w_mean() { - return $average(this.w, JOS3Defaults.local_bsa); + const wet = this.w; + const bsa_sum = math.sum(JOS3Defaults.local_bsa); + return math.sum(math.dotMultiply(wet, JOS3Defaults.local_bsa)) / bsa_sum; } + /** + * Mean skin temperature of the whole body [°C]. + * + * @return {number} + */ get t_skin_mean() { - return divide( - sum( - multiply( - subset(this._bodytemp, index(INDEX["skin"])), + return ( + math.sum( + math.dotMultiply( + math.subset(this._bodytemp, math.index(INDEX["skin"])), JOS3Defaults.local_bsa, ), - ), - sum(JOS3Defaults.local_bsa), + ) / math.sum(JOS3Defaults.local_bsa) ); } + /** + * Skin temperatures by the local body segments [°C]. + * + * @returns {math.Matrix} + */ get t_skin() { - return $index(this._bodytemp, INDEX["skin"]); + return math.subset(this._bodytemp, math.index(INDEX["skin"])); } + /** + * @param inp {number | number[] | object | math.Matrix} + */ set t_skin(inp) { - this._bodytemp[INDEX["skin"]] = _to17array(inp); + this._bodytemp = math.subset( + this._bodytemp, + math.index(INDEX["skin"]), + _to17array(inp), + ); } + /** + * Skin temperatures by the local body segments [°C]. + * + * @returns {math.Matrix} + */ get t_core() { - return $index(this._bodytemp, INDEX["core"]); + return math.subset(this._bodytemp, math.index(INDEX["core"])); } + /** + * Temperature at central blood pool [°C]. + * + * @return {number} + */ get t_cb() { - return this._bodytemp[0]; + return this._bodytemp.get([0]); } + /** + * Arterial temperatures by the local body segments [°C]. + * + * @return {math.Matrix} + */ get t_artery() { - return $index(this._bodytemp, INDEX["artery"]); + return math.subset(this._bodytemp, math.index(INDEX["artery"])); } + /** + * Vein temperatures by the local body segments [°C]. + * + * @return {math.Matrix} + */ get t_vein() { - return $index(this._bodytemp, INDEX["vein"]); + return math.subset(this._bodytemp, math.index(INDEX["vein"])); } + /** + * Superficial vein temperatures by the local body segments [°C]. + * + * @return {math.Matrix} + */ get t_superficial_vein() { - return $index(this._bodytemp, INDEX["sfvein"]); + return math.subset(this._bodytemp, math.index(INDEX["sfvein"])); } + /** + * Muscle temperatures of head and pelvis [°C]. + * + * @return {math.Matrix} + */ get t_muscle() { - return $index(this._bodytemp, INDEX["muscle"]); + return math.subset(this._bodytemp, math.index(INDEX["muscle"])); } + /** + * Fat temperatures of head and pelvis [°C]. + * + * @return {math.Matrix} + */ get t_fat() { - return $index(this._bodytemp, INDEX["fat"]); + return math.subset(this._bodytemp, math.index(INDEX["fat"])); } + /** + * JOS3 body names + * + * @return {string[]} + */ get body_names() { return BODY_NAMES; } + /** + * Results of the model. + * + * @return {object} + */ get results() { return this.dict_results(); } + /** + * Basal metabolic rate. + * @returns {number} + */ get bmr() { const tcr = basal_met( this._height, @@ -1026,6 +1292,7 @@ export class JOS3 { this._sex, this._bmr_equation, ); - return tcr / $sum(this.bsa); + + return tcr / math.sum(this._bsa); } } diff --git a/src/models/index.js b/src/models/index.js index 2f5f127..c922ce1 100644 --- a/src/models/index.js +++ b/src/models/index.js @@ -26,6 +26,7 @@ import { use_fans_heatwaves } from "./use_fans_heatwave.js"; import { clo_tout, clo_tout_array } from "./clo_tout.js"; import { utci, utci_array } from "./utci.js"; import { pet_steady } from "./pet_steady.js"; +import { JOS3 } from "./JOS3.js"; /** * @public @@ -70,4 +71,5 @@ export default { vertical_tmp_grad_ppd, wbgt, wc, + JOS3, }; diff --git a/src/supa.js b/src/supa.js index 7fb4bf5..031c3f0 100644 --- a/src/supa.js +++ b/src/supa.js @@ -64,7 +64,7 @@ export function $average(array, weights) { export function $lerp(length, min, max) { return Array(length) .fill(min) - .map((x, i) => x + i * ((max - min) / length)); + .map((x, i) => x + i * ((max - min) / (length - 1))); } export function $sum(array) { diff --git a/tests/index.test.js b/tests/index.test.js index 5fdabd2..d5ad1ac 100644 --- a/tests/index.test.js +++ b/tests/index.test.js @@ -158,6 +158,10 @@ describe("NPM Package", () => { expect(jsthermalcomfort.models).toHaveProperty("use_fans_heatwaves"); }); + it("should have models.JOS3", () => { + expect(jsthermalcomfort.models).toHaveProperty("JOS3"); + }); + it("should have utilities.body_surface_area", () => { expect(jsthermalcomfort.utilities).toHaveProperty("body_surface_area"); }); diff --git a/tests/jos3_functions/conductance.test.js b/tests/jos3_functions/conductance.test.js index e536e25..edd70cd 100644 --- a/tests/jos3_functions/conductance.test.js +++ b/tests/jos3_functions/conductance.test.js @@ -2307,7 +2307,7 @@ describe("conductance", () => { ])( "returns the correct value when height is $height, weight is $weight, bsa_equation is $bsa_equation, and fat is $fat", ({ height, weight, bsa_equation, fat, expected }) => { - const result = conductance(height, weight, bsa_equation, fat); + const result = conductance(height, weight, bsa_equation, fat).toArray(); expect(result).toHaveLength(expected.length); diff --git a/tests/jos3_functions/local_bsa.test.js b/tests/jos3_functions/local_bsa.test.js index 8914977..44df806 100644 --- a/tests/jos3_functions/local_bsa.test.js +++ b/tests/jos3_functions/local_bsa.test.js @@ -70,7 +70,7 @@ describe("local_bsa", () => { ])( "should return $expected when height is $height, weight is $weight, and bsa_equation is $bsa_equation", ({ height, weight, bsa_equation, expected }) => { - const result = local_bsa(height, weight, bsa_equation); + const result = local_bsa(height, weight, bsa_equation).toArray(); expect(result).toHaveLength(expected.length); diff --git a/tests/jos3_functions/thermoregulation/ava_blood_flow.test.js b/tests/jos3_functions/thermoregulation/ava_blood_flow.test.js index eef1caf..88325dc 100644 --- a/tests/jos3_functions/thermoregulation/ava_blood_flow.test.js +++ b/tests/jos3_functions/thermoregulation/ava_blood_flow.test.js @@ -1,34 +1,36 @@ import { ava_blood_flow } from "../../../src/jos3_functions/thermoregulation/ava_blood_flow"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("ava_blood_flow", () => { it.each([ { - age: 21, + age: 20, expected: { - bf_ava_hand: 1.7556902856019296, - bf_ava_foot: 2.2177140449708586, + bf_ava_hand: 1.7125826049243418, + bf_ava_foot: 2.163262237799169, }, }, { age: 61, expected: { - bf_ava_hand: 1.3167677142014473, - bf_ava_foot: 1.6632855337281442, + bf_ava_hand: 1.2844369536932565, + bf_ava_foot: 1.6224466783493767, }, }, ])("return the appropriate value when age is $age", ({ age, expected }) => { const result = ava_blood_flow( - $lerp(17, 1, 3), - $lerp(17, 3, 6), - 1.78, + math.matrix($lerp(17, 1, 3)), + math.matrix($lerp(17, 3, 6)), + 1.72, 74.43, "dubois", age, 2.59, ); - expect(result).toStrictEqual(expected); + expect(result.bf_ava_hand).toBeCloseTo(expected.bf_ava_hand, 14); + expect(result.bf_ava_foot).toBeCloseTo(expected.bf_ava_foot, 14); }); }); diff --git a/tests/jos3_functions/thermoregulation/clo_area_factor.test.js b/tests/jos3_functions/thermoregulation/clo_area_factor.test.js index c5cf441..30ebc23 100644 --- a/tests/jos3_functions/thermoregulation/clo_area_factor.test.js +++ b/tests/jos3_functions/thermoregulation/clo_area_factor.test.js @@ -1,19 +1,17 @@ import { clo_area_factor } from "../../../src/jos3_functions/thermoregulation/clo_area_factor"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("clo_area_factor", () => { it("should return the correct value", () => { const expected = [ - 1, 1.011764705882353, 1.0235294117647058, 1.035294117647059, - 1.0470588235294118, 1.0588235294117647, 1.0705882352941176, - 1.0823529411764705, 1.0941176470588236, 1.1029411764705883, - 1.1088235294117648, 1.1147058823529412, 1.1205882352941177, - 1.1264705882352941, 1.1323529411764706, 1.138235294117647, - 1.1441176470588235, + 1.0, 1.0125, 1.025, 1.0375, 1.05, 1.0625, 1.075, 1.0875, 1.1, 1.10625, + 1.1125, 1.1187500000000001, 1.125, 1.13125, 1.1375, 1.14375, + 1.1500000000000001, ]; - const result = clo_area_factor($lerp(17, 0, 1)); - expect(result).toStrictEqual(expected); + const result = clo_area_factor(math.matrix($lerp(17, 0, 1))); + expect(result.toArray()).toStrictEqual(expected); }); }); diff --git a/tests/jos3_functions/thermoregulation/conv_coef.test.js b/tests/jos3_functions/thermoregulation/conv_coef.test.js index 10d047e..ad52827 100644 --- a/tests/jos3_functions/thermoregulation/conv_coef.test.js +++ b/tests/jos3_functions/thermoregulation/conv_coef.test.js @@ -85,7 +85,7 @@ describe("conv_coef", () => { "returns correct values when posture is $posture, v is $v, tdb is $tdb, t_skin is $t_skin", ({ posture, v, tdb, t_skin, expected }) => { const result = conv_coef(posture, v, tdb, t_skin); - expect(result).toStrictEqual(expected); + expect(result.toArray()).toStrictEqual(expected); }, ); }); diff --git a/tests/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.test.js b/tests/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.test.js index a2170a7..aabcb36 100644 --- a/tests/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.test.js +++ b/tests/jos3_functions/thermoregulation/cr_ms_fat_blood_flow.test.js @@ -1,38 +1,58 @@ import { cr_ms_fat_blood_flow } from "../../../src/jos3_functions/thermoregulation/cr_ms_fat_blood_flow"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("cr_ms_fat_blood_flow", () => { - it("should return the correct values", () => { - let expected = [ - [ - 35.30423941882339, 47.12786946186046, 122.12401640361986, - 121.48109829455413, 18.714221377553372, 37.31728061133258, - 37.35839403394131, 37.544726449365264, 40.04855368806111, - 40.08966711066985, 40.2759995260938, 42.37721962608814, - 42.04376819826313, 42.870065692369344, 45.10849270281669, - 44.77504127499168, 45.601338769097886, + const result = cr_ms_fat_blood_flow( + math.matrix($lerp(17, 12, 18)), + math.matrix($lerp(17, 24, 36)), + 1.72, + 74.43, + "dubois", + 20, + 2.59, + ); + + let expected = [ + { + property: "bf_core", + expected: [ + 35.30423941882337, 47.1847709842923, 122.23781944848352, + 121.65180286184963, 18.714221377553365, 37.601788223491795, + 37.69980316853238, 37.943037106388175, 40.50376586751587, + 40.60178081255645, 40.84501475041225, 43.003136372838426, + 42.726586467445266, 43.60978548398332, 45.90511401686251, + 45.62856411146934, 46.511763128007395, ], - [ - 31.637458224302655, 0, 0, 0, 47.229176503190565, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, + }, + { + property: "bf_muscle", + expected: [ + 31.637458224302655, 0.0, 0.0, 0.0, 47.45678259291794, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], - [ - 0.26540022824850923, 0, 0, 0, 2.2223513452205355, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, + }, + { + property: "bf_fat", + expected: [ + 0.2654002282485091, 0.0, 0.0, 0.0, 2.2223513452205346, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], - ]; + }, + ]; + + it.each(expected)( + "should return the correct value for $property", + ({ property, expected }) => { + let actual = result[property]; + let actualLength = actual.size()[0]; - const result = cr_ms_fat_blood_flow( - $lerp(17, 12, 18), - $lerp(17, 24, 36), - 1.72, - 74.43, - "dubois", - 20, - 2.59, - ); + expect(actualLength).toBe(expected.length); - expect(result).toStrictEqual(expected); - }); + for (let i = 0; i < actualLength; i++) { + expect(actual.get([i])).toBeCloseTo(expected[i], 13); + } + }, + ); }); diff --git a/tests/jos3_functions/thermoregulation/dry_r.test.js b/tests/jos3_functions/thermoregulation/dry_r.test.js index 0a2804f..511ae8a 100644 --- a/tests/jos3_functions/thermoregulation/dry_r.test.js +++ b/tests/jos3_functions/thermoregulation/dry_r.test.js @@ -1,29 +1,35 @@ import { dry_r } from "../../../src/jos3_functions/thermoregulation/dry_r"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("dry_r", () => { it("should throw an error if hc or hr are negative", () => { - expect(() => dry_r([-1], [], [])).toThrow( - "Input parameters hc and hr must be non-negative.", - ); + expect(() => + dry_r(math.matrix([-1]), math.matrix([]), math.matrix([])), + ).toThrow("Input parameters hc and hr must be non-negative."); - expect(() => dry_r([], [-1], [])).toThrow( - "Input parameters hc and hr must be non-negative.", - ); + expect(() => + dry_r(math.matrix([]), math.matrix([-1]), math.matrix([])), + ).toThrow("Input parameters hc and hr must be non-negative."); }); it("should return the correct value", () => { const expected = [ - 0.5, 0.4512841097271222, 0.413692327505715, 0.3843193443385259, - 0.3611896893588896, 0.34291333817477604, 0.3284838285446805, - 0.3171545252041911, 0.30835987963122685, 0.30224929971988795, - 0.29835978121982176, 0.2958153949625314, 0.2944191265905248, - 0.2940106188811064, 0.2944580256344962, 0.2956519454227345, - 0.29750084095334794, + 0.5, 0.44864497599451303, 0.40961890243902443, 0.3795553806133625, + 0.35621031746031745, 0.3380302601809955, 0.32390573089700997, + 0.31302322796934867, 0.30477272727272725, 0.29988274759056166, + 0.29662531210986265, 0.29474244707438985, 0.2940277777777778, + 0.2943142429623783, 0.29546515984015986, 0.29736761998099315, + 0.29992753623188406, ]; - const result = dry_r($lerp(17, 1, 3), $lerp(17, 1, 3), $lerp(17, 0, 1)); - expect(result).toStrictEqual(expected); + const result = dry_r( + math.matrix($lerp(17, 1, 3)), + math.matrix($lerp(17, 1, 3)), + math.matrix($lerp(17, 0, 1)), + ); + + expect(result.toArray()).toStrictEqual(expected); }); }); diff --git a/tests/jos3_functions/thermoregulation/error_signals.test.js b/tests/jos3_functions/thermoregulation/error_signals.test.js index 6d51998..d2d7fe6 100644 --- a/tests/jos3_functions/thermoregulation/error_signals.test.js +++ b/tests/jos3_functions/thermoregulation/error_signals.test.js @@ -1,18 +1,19 @@ import { error_signals } from "../../../src/jos3_functions/thermoregulation/error_signals"; import { describe, it, expect } from "@jest/globals"; -import { $array, $lerp } from "../../../src/supa"; +import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("error_signals", () => { it("should use appropriate defaults", () => { const withDefaults = error_signals(); - const withoutDefaults = error_signals($array(17, 0)); + const withoutDefaults = error_signals(math.zeros(17)); expect(withDefaults).toStrictEqual(withoutDefaults); }); it("should return the correct values", () => { - const expected = { wrms: 0.5861764705882355, clds: 2.0505294117647055 }; - const result = error_signals($lerp(17, -5, 5)); + const expected = { wrms: 0.71275, clds: 1.9560625 }; + const result = error_signals(math.matrix($lerp(17, -5, 5))); expect(result).toStrictEqual(expected); }); diff --git a/tests/jos3_functions/thermoregulation/evaporation.test.js b/tests/jos3_functions/thermoregulation/evaporation.test.js index 405be28..90505bd 100644 --- a/tests/jos3_functions/thermoregulation/evaporation.test.js +++ b/tests/jos3_functions/thermoregulation/evaporation.test.js @@ -1,66 +1,73 @@ -import { evaporation } from "../../../src/jos3_functions/thermoregulation/evaporation"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import { evaporation } from "../../../src/jos3_functions/thermoregulation/evaporation.js"; +import * as math from "mathjs"; describe("evaporation", () => { it.each([ { age: 20, expected: { - wet: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], + wet: [ + 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, + 1.0, 1.0, 1.0, + ], e_sk: [ - 0.004420996652136314, 0.0011646364611922826, 0.007023044521841013, - 0.006457100621978046, 0.008858431024693742, 0.0038460633174753314, - 0.00252286197266619, 0.0020015067890885013, 0.0038416527864739195, - 0.0025204162156181598, 0.001999912215712484, 0.008358342628176788, - 0.0044786588949412105, 0.0022392191316776616, 0.008357096152882038, - 0.004478669832318175, 0.002239555218630907, + 0.004420996652136314, 0.00116458299811076, 0.007022461588771268, + 0.0064563796892369504, 0.008857260040612642, 0.003845505830562024, + 0.0025224829099062224, 0.0020012097707047096, 0.003841116172654547, + 0.0025201026973817723, 0.001999706633456237, 0.008357714424343484, + 0.004478471977310349, 0.002239212930092807, 0.008357442984739507, + 0.004479076716683872, 0.002239880073760617, ], e_max: [ - 0.004420996652136314, 0.0011646364611922826, 0.007023044521841013, - 0.006457100621978046, 0.008858431024693742, 0.0038460633174753314, - 0.00252286197266619, 0.0020015067890885013, 0.0038416527864739195, - 0.0025204162156181598, 0.001999912215712484, 0.008358342628176788, - 0.0044786588949412105, 0.0022392191316776616, 0.008357096152882038, - 0.004478669832318175, 0.002239555218630907, + 0.004420996652136314, 0.00116458299811076, 0.007022461588771268, + 0.0064563796892369504, 0.008857260040612642, 0.003845505830562024, + 0.0025224829099062224, 0.0020012097707047096, 0.003841116172654547, + 0.0025201026973817723, 0.001999706633456237, 0.008357714424343484, + 0.004478471977310349, 0.002239212930092807, 0.008357442984739507, + 0.004479076716683872, 0.002239880073760617, ], e_sweat: [ - 0.004420996652136314, 0.0011646364611922826, 0.007023044521841013, - 0.006457100621978046, 0.008858431024693742, 0.0038460633174753314, - 0.00252286197266619, 0.0020015067890885013, 0.0038416527864739195, - 0.0025204162156181598, 0.001999912215712484, 0.008358342628176788, - 0.0044786588949412105, 0.0022392191316776616, 0.008357096152882038, - 0.004478669832318175, 0.002239555218630907, + 0.004420996652136314, 0.00116458299811076, 0.007022461588771268, + 0.0064563796892369504, 0.008857260040612642, 0.003845505830562024, + 0.0025224829099062224, 0.0020012097707047096, 0.003841116172654547, + 0.0025201026973817723, 0.001999706633456237, 0.008357714424343484, + 0.004478471977310349, 0.002239212930092807, 0.008357442984739507, + 0.004479076716683872, 0.002239880073760617, ], }, }, { age: 61, expected: { - wet: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], + wet: [ + 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, + 1.0, 1.0, 1.0, + ], e_sk: [ - 0.004420996652136314, 0.0011646364611922826, 0.007023044521841013, - 0.006457100621978046, 0.008858431024693742, 0.0038460633174753314, - 0.00252286197266619, 0.0020015067890885013, 0.0038416527864739195, - 0.0025204162156181598, 0.001999912215712484, 0.008358342628176788, - 0.0044786588949412105, 0.0022392191316776616, 0.008357096152882038, - 0.004478669832318175, 0.002239555218630907, + 0.004420996652136314, 0.00116458299811076, 0.007022461588771268, + 0.0064563796892369504, 0.008857260040612642, 0.003845505830562024, + 0.0025224829099062224, 0.0020012097707047096, 0.003841116172654547, + 0.0025201026973817723, 0.001999706633456237, 0.008357714424343484, + 0.004478471977310349, 0.002239212930092807, 0.008357442984739507, + 0.004479076716683872, 0.002239880073760617, ], e_max: [ - 0.004420996652136314, 0.0011646364611922826, 0.007023044521841013, - 0.006457100621978046, 0.008858431024693742, 0.0038460633174753314, - 0.00252286197266619, 0.0020015067890885013, 0.0038416527864739195, - 0.0025204162156181598, 0.001999912215712484, 0.008358342628176788, - 0.0044786588949412105, 0.0022392191316776616, 0.008357096152882038, - 0.004478669832318175, 0.002239555218630907, + 0.004420996652136314, 0.00116458299811076, 0.007022461588771268, + 0.0064563796892369504, 0.008857260040612642, 0.003845505830562024, + 0.0025224829099062224, 0.0020012097707047096, 0.003841116172654547, + 0.0025201026973817723, 0.001999706633456237, 0.008357714424343484, + 0.004478471977310349, 0.002239212930092807, 0.008357442984739507, + 0.004479076716683872, 0.002239880073760617, ], e_sweat: [ - 0.004420996652136314, 0.0011646364611922826, 0.007023044521841013, - 0.006457100621978046, 0.008858431024693742, 0.0038460633174753314, - 0.00252286197266619, 0.0020015067890885013, 0.0038416527864739195, - 0.0025204162156181598, 0.001999912215712484, 0.008358342628176788, - 0.0044786588949412105, 0.0022392191316776616, 0.008357096152882038, - 0.004478669832318175, 0.002239555218630907, + 0.004420996652136314, 0.00116458299811076, 0.007022461588771268, + 0.0064563796892369504, 0.008857260040612642, 0.003845505830562024, + 0.0025224829099062224, 0.0020012097707047096, 0.003841116172654547, + 0.0025201026973817723, 0.001999706633456237, 0.008357714424343484, + 0.004478471977310349, 0.002239212930092807, 0.008357442984739507, + 0.004479076716683872, 0.002239880073760617, ], }, }, @@ -68,19 +75,24 @@ describe("evaporation", () => { "should return the correct value when age is $age", ({ age, expected }) => { const result = evaporation( - $lerp(17, 1, 3), - $lerp(17, 3, 6), - $lerp(17, 6, 9), - $lerp(17, 12, 15), - $lerp(17, 15, 18), - $lerp(17, 18, 21), + math.matrix($lerp(17, 1, 3)), + math.matrix($lerp(17, 3, 6)), + math.matrix($lerp(17, 6, 9)), + math.matrix($lerp(17, 12, 15)), + math.matrix($lerp(17, 15, 18)), + math.matrix($lerp(17, 18, 21)), 1.72, 74.43, "dubois", age, ); - expect(result).toStrictEqual(expected); + expect({ + wet: result.wet.toArray(), + e_sk: result.e_sk.toArray(), + e_max: result.e_max.toArray(), + e_sweat: result.e_sweat.toArray(), + }).toStrictEqual(expected); }, ); }); diff --git a/tests/jos3_functions/thermoregulation/fixed_hc.test.js b/tests/jos3_functions/thermoregulation/fixed_hc.test.js index 7eff9b6..ef458c7 100644 --- a/tests/jos3_functions/thermoregulation/fixed_hc.test.js +++ b/tests/jos3_functions/thermoregulation/fixed_hc.test.js @@ -2,19 +2,19 @@ import JOS3Defaults from "../../../src/jos3_functions/JOS3Defaults"; import { conv_coef } from "../../../src/jos3_functions/thermoregulation/conv_coef"; import { fixed_hc } from "../../../src/jos3_functions/thermoregulation/fixed_hc"; import { describe, it, expect } from "@jest/globals"; -import { $array } from "../../../src/supa"; +import * as math from "mathjs"; describe("fixed_hc", () => { it("should return the correct value given appropriate details", () => { const result = fixed_hc( conv_coef( JOS3Defaults.posture, - $array(17, JOS3Defaults.air_speed), - $array(17, JOS3Defaults.dry_bulb_air_temperature), - $array(17, JOS3Defaults.other_body_temperature), + math.dotMultiply(math.ones(17), JOS3Defaults.air_speed), + math.dotMultiply(math.ones(17), JOS3Defaults.dry_bulb_air_temperature), + math.dotMultiply(math.ones(17), JOS3Defaults.other_body_temperature), ), - $array(17, JOS3Defaults.air_speed), - ); + math.dotMultiply(math.ones(17), JOS3Defaults.air_speed), + ).toArray(); const expected = [ 4.479928052547337, 4.479928052547337, 2.969952302693212, diff --git a/tests/jos3_functions/thermoregulation/fixed_hr.test.js b/tests/jos3_functions/thermoregulation/fixed_hr.test.js index f1eceb3..6f3b00c 100644 --- a/tests/jos3_functions/thermoregulation/fixed_hr.test.js +++ b/tests/jos3_functions/thermoregulation/fixed_hr.test.js @@ -14,6 +14,6 @@ describe("fixed_hr", () => { ]; const result = fixed_hr(rad_coef(JOS3Defaults.posture)); - expect(result).toStrictEqual(expected); + expect(result.toArray()).toStrictEqual(expected); }); }); diff --git a/tests/jos3_functions/thermoregulation/local_mbase.test.js b/tests/jos3_functions/thermoregulation/local_mbase.test.js index 46bf95f..0a53a87 100644 --- a/tests/jos3_functions/thermoregulation/local_mbase.test.js +++ b/tests/jos3_functions/thermoregulation/local_mbase.test.js @@ -246,7 +246,7 @@ describe("local_mbase", () => { "returns correct value when sex is $sex and bmr_equation is $bmr_equation", ({ sex, bmr_equation, expected }) => { const result = local_mbase(1.72, 74.43, 20, sex, bmr_equation); - expect(result).toStrictEqual(expected); + expect(result.map((r) => r.toArray())).toStrictEqual(expected); }, ); }); diff --git a/tests/jos3_functions/thermoregulation/local_q_work.test.js b/tests/jos3_functions/thermoregulation/local_q_work.test.js index 20df62c..18b97d9 100644 --- a/tests/jos3_functions/thermoregulation/local_q_work.test.js +++ b/tests/jos3_functions/thermoregulation/local_q_work.test.js @@ -9,6 +9,6 @@ describe("local_q_work", () => { ]; const result = local_q_work(5, 6); - expect(result).toStrictEqual(expected); + expect(result.toArray()).toStrictEqual(expected); }); }); diff --git a/tests/jos3_functions/thermoregulation/nonshivering.test.js b/tests/jos3_functions/thermoregulation/nonshivering.test.js index 537eea0..2f9935d 100644 --- a/tests/jos3_functions/thermoregulation/nonshivering.test.js +++ b/tests/jos3_functions/thermoregulation/nonshivering.test.js @@ -1,59 +1,228 @@ import { nonshivering } from "../../../src/jos3_functions/thermoregulation/nonshivering"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("nonshivering", () => { it.each([ { - age: 30, + age: 21, + cold_acclimation: true, + batpositive: true, expected: [ - 0, 1.908924555286287, 0, 1.908924555286287, 1.908924555286287, - 2.160098838876588, 0, 0, 2.160098838876588, 0, 0, 0, 0, 0, 0, 0, 0, + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, ], }, { - age: 40, + age: 21, + cold_acclimation: false, + batpositive: true, expected: [ - 0, 1.898387115061335, 0, 1.898387115061335, 1.898387115061335, - 2.148174893358879, 0, 0, 2.148174893358879, 0, 0, 0, 0, 0, 0, 0, 0, + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, ], }, { - age: 50, + age: 21, + cold_acclimation: true, + batpositive: false, expected: [ - 0, 1.898387115061335, 0, 1.898387115061335, 1.898387115061335, - 2.148174893358879, 0, 0, 2.148174893358879, 0, 0, 0, 0, 0, 0, 0, 0, + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, ], }, { - age: 60, + age: 21, + cold_acclimation: false, + batpositive: false, expected: [ - 0, 1.898387115061335, 0, 1.898387115061335, 1.898387115061335, - 2.148174893358879, 0, 0, 2.148174893358879, 0, 0, 0, 0, 0, 0, 0, 0, + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, ], }, { - age: 70, + age: 31, + cold_acclimation: true, + batpositive: true, expected: [ - 0, 1.898387115061335, 0, 1.898387115061335, 1.898387115061335, - 2.148174893358879, 0, 0, 2.148174893358879, 0, 0, 0, 0, 0, 0, 0, 0, + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, ], }, - ])("returns correct result when age is $age", ({ age, expected }) => { - const result = nonshivering( - $lerp(17, -5, -1), - 1.72, - 74.43, - "dubois", - age, - false, - true, - ); + { + age: 31, + cold_acclimation: false, + batpositive: true, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 31, + cold_acclimation: true, + batpositive: false, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 31, + cold_acclimation: false, + batpositive: false, + expected: [ + 0.0, 1.7119191341440272, 0.0, 1.7119191341440272, 1.7119191341440272, + 1.937171651794557, 0.0, 0.0, 1.937171651794557, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 41, + cold_acclimation: true, + batpositive: true, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 41, + cold_acclimation: false, + batpositive: true, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 41, + cold_acclimation: true, + batpositive: false, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 41, + cold_acclimation: false, + batpositive: false, + expected: [ + 0.0, 1.6293963413904133, 0.0, 1.6293963413904133, 1.6293963413904133, + 1.8437905968365205, 0.0, 0.0, 1.8437905968365205, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, + ], + }, + { + age: 51, + cold_acclimation: true, + batpositive: true, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 51, + cold_acclimation: false, + batpositive: true, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 51, + cold_acclimation: true, + batpositive: false, + expected: [ + 0.0, 1.7242978894934908, 0.0, 1.7242978894934908, 1.7242978894934908, + 1.9511791907426344, 0.0, 0.0, 1.9511791907426344, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, + ], + }, + { + age: 51, + cold_acclimation: false, + batpositive: false, + expected: [ + 0.0, 1.5763060571132577, 0.0, 1.5763060571132577, 1.5763060571132577, + 1.7837147488386864, 0.0, 0.0, 1.7837147488386864, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, + ], + }, + { + age: 61, + cold_acclimation: true, + batpositive: true, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 61, + cold_acclimation: false, + batpositive: true, + expected: [ + 0.0, 1.861862716480607, 0.0, 1.861862716480607, 1.861862716480607, + 2.106844652859634, 0.0, 0.0, 2.106844652859634, 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, + ], + }, + { + age: 61, + cold_acclimation: true, + batpositive: false, + expected: [ + 0.0, 1.5302944774063898, 0.0, 1.5302944774063898, 1.5302944774063898, + 1.7316490139072307, 0.0, 0.0, 1.7316490139072307, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, + ], + }, + { + age: 61, + cold_acclimation: false, + batpositive: false, + expected: [ + 0.0, 1.5302944774063898, 0.0, 1.5302944774063898, 1.5302944774063898, + 1.7316490139072307, 0.0, 0.0, 1.7316490139072307, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, + ], + }, + ])( + "returns correct result when age is $age, cold_acclimation is $cold_acclimation, and batpositive is $batpositive", + ({ age, cold_acclimation, batpositive, expected }) => { + const result = nonshivering( + math.matrix($lerp(17, -5, -1)), + 1.72, + 74.43, + "dubois", + age, + cold_acclimation, + batpositive, + ).toArray(); - expect(result).toHaveLength(expected.length); + expect(result).toHaveLength(expected.length); - for (let i = 0; i < expected.length; i++) { - expect(result[i]).toBeCloseTo(expected[i]); - } - }); + for (let i = 0; i < expected.length; i++) { + expect(result[i]).toBeCloseTo(expected[i], 14); + } + }, + ); }); diff --git a/tests/jos3_functions/thermoregulation/operative_temp.test.js b/tests/jos3_functions/thermoregulation/operative_temp.test.js index 01d4ada..656d6a1 100644 --- a/tests/jos3_functions/thermoregulation/operative_temp.test.js +++ b/tests/jos3_functions/thermoregulation/operative_temp.test.js @@ -1,25 +1,25 @@ import { operative_temp } from "../../../src/jos3_functions/thermoregulation/operative_temp"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("operative_temp", () => { it("should return the correct value", () => { const result = operative_temp( - $lerp(17, 28, 32), - $lerp(17, 20, 28), - $lerp(17, 1, 3), - $lerp(17, 0, 1), + math.matrix($lerp(17, 28, 32)), + math.matrix($lerp(17, 20, 28)), + math.matrix($lerp(17, 1, 3)), + math.matrix($lerp(17, 0, 1)), ); const expected = [ - 28, 27.847058823529412, 27.815856777493604, 27.86425339366516, - 27.967545638945232, 28.110294117647058, 28.28235294117647, - 28.476780185758514, 28.688665710186516, 28.914438502673796, - 29.151439299123908, 29.397647058823534, 29.65149833518313, - 29.91176470588235, 30.177467597208373, 30.447817836812142, - 30.722171945701362, + 28.0, 27.842105263157894, 27.818181818181817, 27.88, 28.0, + 28.161290322580644, 28.352941176470587, 28.56756756756757, 28.8, + 29.046511627906977, 29.304347826086957, 29.571428571428573, + 29.846153846153847, 30.12727272727273, 30.413793103448278, + 30.704918032786885, 31.0, ]; - expect(result).toStrictEqual(expected); + expect(result.toArray()).toStrictEqual(expected); }); }); diff --git a/tests/jos3_functions/thermoregulation/rad_coef.test.js b/tests/jos3_functions/thermoregulation/rad_coef.test.js index 4eb2411..e4a030e 100644 --- a/tests/jos3_functions/thermoregulation/rad_coef.test.js +++ b/tests/jos3_functions/thermoregulation/rad_coef.test.js @@ -55,7 +55,7 @@ describe("rad_coef", () => { "returns correct value when posture is $posture", ({ posture, expected }) => { const result = rad_coef(posture); - expect(result).toStrictEqual(expected); + expect(result.toArray()).toStrictEqual(expected); }, ); }); diff --git a/tests/jos3_functions/thermoregulation/resp_heat_loss.test.js b/tests/jos3_functions/thermoregulation/resp_heat_loss.test.js index 793e12d..f9fa93a 100644 --- a/tests/jos3_functions/thermoregulation/resp_heat_loss.test.js +++ b/tests/jos3_functions/thermoregulation/resp_heat_loss.test.js @@ -3,7 +3,7 @@ import { describe, it, expect } from "@jest/globals"; describe("resp_heat_loss", () => { it("should return the correct values", () => { - const expected = [0.1456, -29.803748000000002]; + const expected = { res_sh: 0.1456, res_lh: -29.803748000000002 }; const result = resp_heat_loss(32, 39, 52); expect(result).toStrictEqual(expected); }); diff --git a/tests/jos3_functions/thermoregulation/shivering.test.js b/tests/jos3_functions/thermoregulation/shivering.test.js index 02c70d1..86e0d09 100644 --- a/tests/jos3_functions/thermoregulation/shivering.test.js +++ b/tests/jos3_functions/thermoregulation/shivering.test.js @@ -3,8 +3,9 @@ import { PRE_SHIV, set_pre_shiv, } from "../../../src/jos3_functions/thermoregulation/shivering"; -import { describe, it, expect } from "@jest/globals"; +import { describe, it, expect, beforeEach } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("shivering", () => { beforeEach(() => { @@ -13,87 +14,1490 @@ describe("shivering", () => { it.each([ { - age: 20, - bsa_equation: "dubois", + age: 21, sex: "male", - expectedShiv: 436.81635529411756, - options: {}, + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, expected: [ - 1.4815766291857488e1, 1.9055085850294589e1, 1.1972362884930503e2, - 1.0533616494582573e2, 1.6937174244089826e2, 1.0620151058765104, - 5.9874925722255923e-1, 8.7408650689424716e-2, 1.0620151058765104, - 5.9874925722255923e-1, 8.7408650689424716e-2, 1.7044686884437816, - 7.6482569353246621e-1, 1.5296513870649325e-1, 1.7044686884437816, - 7.6482569353246621e-1, 1.5296513870649325e-1, + 0.015669935303199344, 0.020153663103819806, 0.12662601996927517, + 0.11140907984593233, 0.17913648163427354, 0.0011232431500523424, + 0.0006332687718402095, 9.244799588908168e-5, 0.0011232431500523424, + 0.0006332687718402095, 9.244799588908168e-5, 0.0018027359198370925, + 0.0008089199640294646, 0.00016178399280589292, 0.0018027359198370925, + 0.0008089199640294646, 0.00016178399280589292, ], + preShiv: 0.462, }, { - age: 20, - bsa_equation: "takahira", + age: 31, sex: "male", - expectedShiv: 436.81635529411756, - options: {}, + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, expected: [ - 1.4977126122758907e1, 1.9262616488268094e1, 1.2102754955954499e2, - 1.0648339050464165e2, 1.7121638518035363e2, 1.0735816070296207, - 6.0527028873686439e-1, 8.8360626092972919e-2, 1.0735816070296207, - 6.0527028873686439e-1, 8.8360626092972919e-2, 1.7230322088129719, - 7.7315547831351306e-1, 1.5463109566270258e-1, 1.7230322088129719, - 7.7315547831351306e-1, 1.5463109566270258e-1, + 0.015280380711561809, 0.019652643039058844, 0.123478097112839, + 0.10863945012096246, 0.1746831487008455, 0.001095319325342041, + 0.0006175257101722618, 9.01497387112791e-5, 0.001095319325342041, + 0.0006175257101722618, 9.01497387112791e-5, 0.0017579199048699424, + 0.0007888102137236921, 0.00015776204274473842, 0.0017579199048699424, + 0.0007888102137236921, 0.00015776204274473842, ], + preShiv: 0.462, }, { - age: 20, - bsa_equation: "fujimoto", + age: 41, sex: "male", - expectedShiv: 436.81635529411756, - options: {}, + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, expected: [ - 1.4486144633705385e1, 1.8631147670488343e1, 1.1706001359755909e2, - 1.02992642466539e2, 1.6560355431699659e2, 1.0383873586992356, - 5.8542826395800518e-1, 8.5463980139854789e-2, 1.0383873586992356, - 5.8542826395800518e-1, 8.5463980139854789e-2, 1.6665476127271681, - 7.4780982622372927e-1, 1.4956196524474585e-1, 1.6665476127271681, - 7.4780982622372927e-1, 1.4956196524474585e-1, + 0.014890826119924271, 0.019151622974297886, 0.1203301742564028, + 0.10586982039599258, 0.17022981576741747, 0.00106739550063174, + 0.0006017826485043143, 8.785148153347654e-5, 0.00106739550063174, + 0.0006017826485043143, 8.785148153347654e-5, 0.0017131038899027922, + 0.0007687004634179197, 0.00015374009268358393, 0.0017131038899027922, + 0.0007687004634179197, 0.00015374009268358393, ], + preShiv: 0.462, }, { - age: 20, - bsa_equation: "kurazumi", + age: 51, sex: "male", - expectedShiv: 436.81635529411756, - options: {}, + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, expected: [ - 1.4676153602852603e1, 1.8875524987739631e1, 1.1859544300783017e2, - 1.0434355579231666e2, 1.6777570994836279e2, 1.0520074706469564, - 5.9310709250466265e-1, 8.6584977007979971e-2, 1.0520074706469564, - 5.9310709250466265e-1, 8.6584977007979971e-2, 1.6884070516556091, - 7.5761854881982471e-1, 1.5152370976396493e-1, 1.6884070516556091, - 7.5761854881982471e-1, 1.5152370976396493e-1, + 0.014544520549723567, 0.018706227019703467, 0.11753173921508184, + 0.10340767973139747, 0.16627089952330001, 0.0010425718270155831, + 0.0005877874086466456, 8.580838082432783e-5, 0.0010425718270155831, + 0.0005877874086466456, 8.580838082432783e-5, 0.0016732634260743925, + 0.0007508233322128684, 0.0001501646664425737, 0.0016732634260743925, + 0.0007508233322128684, 0.0001501646664425737, ], + preShiv: 0.462, + }, + { + age: 61, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [ + 0.014111560237296168, 0.018149381308144925, 0.11403306228333074, + 0.10032944685525436, 0.16132135853574503, 0.0010115366187796369, + 0.0005702901924807006, 8.32540426979125e-5, 0.0010115366187796369, + 0.0005702901924807006, 8.32540426979125e-5, 0.0016234538326092935, + 0.0007284728736067343, 0.00014569457472134688, 0.0016234538326092935, + 0.0007284728736067343, 0.00014569457472134688, + ], + preShiv: 0.462, + }, + { + age: 71, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [ + 0.013505603839121449, 0.017370039155920215, 0.10913643409111888, + 0.09602125773761215, 0.15439415079094768, 0.0009681008061671127, + 0.0005458016890736397, 7.967907869688171e-5, 0.0009681008061671127, + 0.0005458016890736397, 7.967907869688171e-5, 0.0015537420345891932, + 0.000697191938597715, 0.000139438387719543, 0.0015537420345891932, + 0.000697191938597715, 0.000139438387719543, + ], + preShiv: 0.462, + }, + { + age: 81, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [ + 0.012942896462383561, 0.016646321113862043, 0.1045892937140222, + 0.09202055768034471, 0.14796135973546093, 0.0009277651446487331, + 0.0005230610074768578, 7.63592711645048e-5, 0.0009277651446487331, + 0.0005230610074768578, 7.63592711645048e-5, 0.0014890057877078432, + 0.0006681436226894168, 0.00013362872453788339, 0.0014890057877078432, + 0.0006681436226894168, 0.00013362872453788339, + ], + preShiv: 0.462, + }, + { + age: 91, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [ + 0.012942896462383561, 0.016646321113862043, 0.1045892937140222, + 0.09202055768034471, 0.14796135973546093, 0.0009277651446487331, + 0.0005230610074768578, 7.63592711645048e-5, 0.0009277651446487331, + 0.0005230610074768578, 7.63592711645048e-5, 0.0014890057877078432, + 0.0006681436226894168, 0.00013362872453788339, 0.0014890057877078432, + 0.0006681436226894168, 0.00013362872453788339, + ], + preShiv: 0.462, + }, + { + age: 21, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 31, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 41, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 51, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 61, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 71, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 81, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 91, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": true, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 21, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 14.4505044992533, 18.585309621458524, 116.77201187390706, + 102.73925057256729, 165.1961213463311, 1.035832623397803, + 0.5839879399403252, 0.08525371385990149, 1.035832623397803, + 0.5839879399403252, 0.08525371385990149, 1.6624474202680788, + 0.745969996274138, 0.1491939992548276, 1.6624474202680788, + 0.745969996274138, 0.1491939992548276, + ], + preShiv: 426.047265, + }, + { + age: 31, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 14.091264957401865, 18.123278824269065, 113.86905965872175, + 100.18515280333327, 161.08934576966132, 1.0100818243801337, + 0.5694699997534086, 0.08313430653334433, 1.0100818243801337, + 0.5694699997534086, 0.08313430653334433, 1.6211189774002144, + 0.7274251821667629, 0.1454850364333526, 1.6211189774002144, + 0.7274251821667629, 0.1454850364333526, + ], + preShiv: 426.047265, + }, + { + age: 41, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 13.732025415550426, 17.66124802707961, 110.9661074435364, + 97.63105503409923, 156.98257019299152, 0.9843310253624643, + 0.5549520595664923, 0.0810148992067872, 0.9843310253624643, + 0.5549520595664923, 0.0810148992067872, 1.57979053453235, + 0.7088803680593878, 0.14177607361187758, 1.57979053453235, + 0.7088803680593878, 0.14177607361187758, + ], + preShiv: 426.047265, + }, + { + age: 51, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 13.41266926611693, 17.250512684445372, 108.38544598112307, + 95.3605175964455, 153.3317359112376, 0.9614391243853728, + 0.542045926093811, 0.07913079213048337, 0.9614391243853728, + 0.542045926093811, 0.07913079213048337, 1.5430504465444255, + 0.6923944311417294, 0.1384788862283459, 1.5430504465444255, + 0.6923944311417294, 0.1384788862283459, + ], + preShiv: 426.047265, + }, + { + age: 61, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 13.013401826802559, 16.737000579604473, 105.159035293047, + 92.52183210312546, 148.76736707843847, 0.9328190690008915, + 0.5259103393132598, 0.07677523201653429, 0.9328190690008915, + 0.5259103393132598, 0.07677523201653429, 1.4971170243224183, + 0.6717832801446749, 0.13435665602893498, 1.4971170243224183, + 0.6717832801446749, 0.13435665602893498, + ], + preShiv: 426.047265, + }, + { + age: 71, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 12.454600817816434, 16.018306656542673, 100.64346159388302, + 88.54890528348429, 142.37923306597585, 0.8927634214540985, + 0.5033275256757674, 0.07347847090157189, 0.8927634214540985, + 0.5033275256757674, 0.07347847090157189, 1.4328301825806518, + 0.6429366203887541, 0.1285873240777508, 1.4328301825806518, + 0.6429366203887541, 0.1285873240777508, + ], + preShiv: 426.047265, + }, + { + age: 81, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 11.935683201248247, 15.350908188036097, 96.45017864749101, + 84.85953879542339, 136.4470403484291, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, + ], + preShiv: 426.047265, + }, + { + age: 91, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [ + 11.935683201248247, 15.350908188036097, 96.45017864749101, + 84.85953879542339, 136.4470403484291, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, + ], + preShiv: 426.047265, + }, + { + age: 21, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 31, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 41, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 51, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 61, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 71, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 81, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 91, + sex: "female", + options: { + shivering_threshold: true, + "limit_dshiv/dt": false, + }, + expected: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + preShiv: 0, + }, + { + age: 21, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.6280452263064251, 2.093887075721538, 13.15595012667794, + 11.574969334642319, 18.61158250745699, 0.11670058701842517, + 0.06579415811326851, 0.009604986585878616, 0.11670058701842517, + 0.06579415811326851, 0.009604986585878616, 0.18729723842463297, + 0.08404363262643788, 0.016808726525287577, 0.18729723842463297, + 0.08404363262643788, 0.016808726525287577, + ], + preShiv: 48, + }, + { + age: 31, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5875720219804474, 2.0418330430191007, 12.828893206528726, + 11.287215596983112, 18.148898566321613, 0.11379941042514713, + 0.06415851534257265, 0.009366206619353673, 0.11379941042514713, + 0.06415851534257265, 0.009366206619353673, 0.1826410290773966, + 0.08195430791934463, 0.016390861583868925, 0.1826410290773966, + 0.08195430791934463, 0.016390861583868925, + ], + preShiv: 48, + }, + { + age: 41, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5470988176544695, 1.9897790103166633, 12.501836286379511, + 10.999461859323903, 17.686214625186228, 0.11089823383186907, + 0.0625228725718768, 0.009127426652828731, 0.11089823383186907, + 0.0625228725718768, 0.009127426652828731, 0.17798481973016023, + 0.07986498321225138, 0.015972996642450277, 0.17798481973016023, + 0.07986498321225138, 0.015972996642450277, + ], + preShiv: 48, + }, + { + age: 51, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5111190181530978, 1.9435041059432172, 12.21108978857993, + 10.743655037028308, 17.27489865177143, 0.10831915085876187, + 0.06106882167757356, 0.008915156449280813, 0.10831915085876187, + 0.06106882167757356, 0.008915156449280813, 0.17384555076097585, + 0.07800761893120711, 0.015601523786241422, 0.17384555076097585, + 0.07800761893120711, 0.015601523786241422, + ], + preShiv: 48, + }, + { + age: 61, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.466136128550251, 1.8856500060410313, 11.847590886579816, + 10.42383863431214, 16.76066062709039, 0.10509471363944278, + 0.05925092908890396, 0.008649770669912987, 0.10509471363944278, + 0.05925092908890396, 0.008649770669912987, 0.1686705280633032, + 0.07568549336173863, 0.015137098672347726, 0.1686705280633032, + 0.07568549336173863, 0.015137098672347726, + ], + preShiv: 48, + }, + { + age: 71, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.4031796196489816, 1.8046793928228793, 11.338850295181182, + 9.976234570141521, 16.04095073152703, 0.10058190193944028, + 0.05670666899466386, 0.008278345838637062, 0.10058190193944028, + 0.05670666899466386, 0.008278345838637062, 0.16142774385342265, + 0.07243552608807428, 0.014487105217614855, 0.16142774385342265, + 0.07243552608807428, 0.014487105217614855, + ], + preShiv: 48, + }, + { + age: 81, + sex: "male", + options: { + shivering_threshold: true, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.3447165155723177, 1.7294879079337186, 10.866420126132176, + 9.560577421334516, 15.372608803684251, 0.09639118385960863, + 0.05434400077681639, 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"male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 11.935683201248247, 15.350908188036097, 96.45017864749101, + 84.85953879542339, 136.4470403484291, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, + ], + preShiv: 426.047265, + }, + { + age: 91, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 11.935683201248247, 15.350908188036097, 96.45017864749101, + 84.85953879542339, 136.4470403484291, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, + ], + preShiv: 426.047265, + }, + { + age: 21, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 14.4505044992533, 18.585309621458524, 116.77201187390706, + 102.73925057256729, 165.1961213463311, 1.035832623397803, + 0.5839879399403252, 0.08525371385990149, 1.035832623397803, + 0.5839879399403252, 0.08525371385990149, 1.6624474202680788, + 0.745969996274138, 0.1491939992548276, 1.6624474202680788, + 0.745969996274138, 0.1491939992548276, + ], + preShiv: 426.047265, + }, + { + age: 31, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 14.091264957401865, 18.123278824269065, 113.86905965872175, + 100.18515280333327, 161.08934576966132, 1.0100818243801337, + 0.5694699997534086, 0.08313430653334433, 1.0100818243801337, + 0.5694699997534086, 0.08313430653334433, 1.6211189774002144, + 0.7274251821667629, 0.1454850364333526, 1.6211189774002144, + 0.7274251821667629, 0.1454850364333526, + ], + preShiv: 426.047265, + }, + { + age: 41, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 13.732025415550426, 17.66124802707961, 110.9661074435364, + 97.63105503409923, 156.98257019299152, 0.9843310253624643, + 0.5549520595664923, 0.0810148992067872, 0.9843310253624643, + 0.5549520595664923, 0.0810148992067872, 1.57979053453235, + 0.7088803680593878, 0.14177607361187758, 1.57979053453235, + 0.7088803680593878, 0.14177607361187758, + ], + preShiv: 426.047265, + }, + { + age: 51, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 13.41266926611693, 17.250512684445372, 108.38544598112307, + 95.3605175964455, 153.3317359112376, 0.9614391243853728, + 0.542045926093811, 0.07913079213048337, 0.9614391243853728, + 0.542045926093811, 0.07913079213048337, 1.5430504465444255, + 0.6923944311417294, 0.1384788862283459, 1.5430504465444255, + 0.6923944311417294, 0.1384788862283459, + ], + preShiv: 426.047265, + }, + { + age: 61, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 13.013401826802559, 16.737000579604473, 105.159035293047, + 92.52183210312546, 148.76736707843847, 0.9328190690008915, + 0.5259103393132598, 0.07677523201653429, 0.9328190690008915, + 0.5259103393132598, 0.07677523201653429, 1.4971170243224183, + 0.6717832801446749, 0.13435665602893498, 1.4971170243224183, + 0.6717832801446749, 0.13435665602893498, + ], + preShiv: 426.047265, + }, + { + age: 71, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 12.454600817816434, 16.018306656542673, 100.64346159388302, + 88.54890528348429, 142.37923306597585, 0.8927634214540985, + 0.5033275256757674, 0.07347847090157189, 0.8927634214540985, + 0.5033275256757674, 0.07347847090157189, 1.4328301825806518, + 0.6429366203887541, 0.1285873240777508, 1.4328301825806518, + 0.6429366203887541, 0.1285873240777508, + ], + preShiv: 426.047265, + }, + { + age: 81, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 11.935683201248247, 15.350908188036097, 96.45017864749101, + 84.85953879542339, 136.4470403484291, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, + ], + preShiv: 426.047265, + }, + { + age: 91, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": false, + }, + expected: [ + 11.935683201248247, 15.350908188036097, 96.45017864749101, + 84.85953879542339, 136.4470403484291, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 0.8555666719478834, + 0.4823565187525104, 0.07041701003686283, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, 1.373131695718825, + 0.6161488378225497, 0.12322976756450994, + ], + preShiv: 426.047265, + }, + { + age: 21, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.6280452263064251, 2.093887075721538, 13.15595012667794, + 11.574969334642319, 18.61158250745699, 0.11670058701842517, + 0.06579415811326851, 0.009604986585878616, 0.11670058701842517, + 0.06579415811326851, 0.009604986585878616, 0.18729723842463297, + 0.08404363262643788, 0.016808726525287577, 0.18729723842463297, + 0.08404363262643788, 0.016808726525287577, + ], + preShiv: 48, + }, + { + age: 31, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5875720219804474, 2.0418330430191007, 12.828893206528726, + 11.287215596983112, 18.148898566321613, 0.11379941042514713, + 0.06415851534257265, 0.009366206619353673, 0.11379941042514713, + 0.06415851534257265, 0.009366206619353673, 0.1826410290773966, + 0.08195430791934463, 0.016390861583868925, 0.1826410290773966, + 0.08195430791934463, 0.016390861583868925, + ], + preShiv: 48, + }, + { + age: 41, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5470988176544695, 1.9897790103166633, 12.501836286379511, + 10.999461859323903, 17.686214625186228, 0.11089823383186907, + 0.0625228725718768, 0.009127426652828731, 0.11089823383186907, + 0.0625228725718768, 0.009127426652828731, 0.17798481973016023, + 0.07986498321225138, 0.015972996642450277, 0.17798481973016023, + 0.07986498321225138, 0.015972996642450277, + ], + preShiv: 48, + }, + { + age: 51, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5111190181530978, 1.9435041059432172, 12.21108978857993, + 10.743655037028308, 17.27489865177143, 0.10831915085876187, + 0.06106882167757356, 0.008915156449280813, 0.10831915085876187, + 0.06106882167757356, 0.008915156449280813, 0.17384555076097585, + 0.07800761893120711, 0.015601523786241422, 0.17384555076097585, + 0.07800761893120711, 0.015601523786241422, + ], + preShiv: 48, + }, + { + age: 61, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.466136128550251, 1.8856500060410313, 11.847590886579816, + 10.42383863431214, 16.76066062709039, 0.10509471363944278, + 0.05925092908890396, 0.008649770669912987, 0.10509471363944278, + 0.05925092908890396, 0.008649770669912987, 0.1686705280633032, + 0.07568549336173863, 0.015137098672347726, 0.1686705280633032, + 0.07568549336173863, 0.015137098672347726, + ], + preShiv: 48, + }, + { + age: 71, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.4031796196489816, 1.8046793928228793, 11.338850295181182, + 9.976234570141521, 16.04095073152703, 0.10058190193944028, + 0.05670666899466386, 0.008278345838637062, 0.10058190193944028, + 0.05670666899466386, 0.008278345838637062, 0.16142774385342265, + 0.07243552608807428, 0.014487105217614855, 0.16142774385342265, + 0.07243552608807428, 0.014487105217614855, + ], + preShiv: 48, + }, + { + age: 81, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.3447165155723177, 1.7294879079337186, 10.866420126132176, + 9.560577421334516, 15.372608803684251, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, + ], + preShiv: 48, + }, + { + age: 91, + sex: "male", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.3447165155723177, 1.7294879079337186, 10.866420126132176, + 9.560577421334516, 15.372608803684251, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, + ], + preShiv: 48, + }, + { + age: 21, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.6280452263064251, 2.093887075721538, 13.15595012667794, + 11.574969334642319, 18.61158250745699, 0.11670058701842517, + 0.06579415811326851, 0.009604986585878616, 0.11670058701842517, + 0.06579415811326851, 0.009604986585878616, 0.18729723842463297, + 0.08404363262643788, 0.016808726525287577, 0.18729723842463297, + 0.08404363262643788, 0.016808726525287577, + ], + preShiv: 48, + }, + { + age: 31, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5875720219804474, 2.0418330430191007, 12.828893206528726, + 11.287215596983112, 18.148898566321613, 0.11379941042514713, + 0.06415851534257265, 0.009366206619353673, 0.11379941042514713, + 0.06415851534257265, 0.009366206619353673, 0.1826410290773966, + 0.08195430791934463, 0.016390861583868925, 0.1826410290773966, + 0.08195430791934463, 0.016390861583868925, + ], + preShiv: 48, + }, + { + age: 41, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5470988176544695, 1.9897790103166633, 12.501836286379511, + 10.999461859323903, 17.686214625186228, 0.11089823383186907, + 0.0625228725718768, 0.009127426652828731, 0.11089823383186907, + 0.0625228725718768, 0.009127426652828731, 0.17798481973016023, + 0.07986498321225138, 0.015972996642450277, 0.17798481973016023, + 0.07986498321225138, 0.015972996642450277, + ], + preShiv: 48, + }, + { + age: 51, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.5111190181530978, 1.9435041059432172, 12.21108978857993, + 10.743655037028308, 17.27489865177143, 0.10831915085876187, + 0.06106882167757356, 0.008915156449280813, 0.10831915085876187, + 0.06106882167757356, 0.008915156449280813, 0.17384555076097585, + 0.07800761893120711, 0.015601523786241422, 0.17384555076097585, + 0.07800761893120711, 0.015601523786241422, + ], + preShiv: 48, + }, + { + age: 61, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.466136128550251, 1.8856500060410313, 11.847590886579816, + 10.42383863431214, 16.76066062709039, 0.10509471363944278, + 0.05925092908890396, 0.008649770669912987, 0.10509471363944278, + 0.05925092908890396, 0.008649770669912987, 0.1686705280633032, + 0.07568549336173863, 0.015137098672347726, 0.1686705280633032, + 0.07568549336173863, 0.015137098672347726, + ], + preShiv: 48, + }, + { + age: 71, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.4031796196489816, 1.8046793928228793, 11.338850295181182, + 9.976234570141521, 16.04095073152703, 0.10058190193944028, + 0.05670666899466386, 0.008278345838637062, 0.10058190193944028, + 0.05670666899466386, 0.008278345838637062, 0.16142774385342265, + 0.07243552608807428, 0.014487105217614855, 0.16142774385342265, + 0.07243552608807428, 0.014487105217614855, + ], + preShiv: 48, + }, + { + age: 81, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.3447165155723177, 1.7294879079337186, 10.866420126132176, + 9.560577421334516, 15.372608803684251, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, + ], + preShiv: 48, + }, + { + age: 91, + sex: "female", + options: { + shivering_threshold: false, + "limit_dshiv/dt": 0.8, + }, + expected: [ + 1.3447165155723177, 1.7294879079337186, 10.866420126132176, + 9.560577421334516, 15.372608803684251, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.09639118385960863, + 0.05434400077681639, 0.00793343077033816, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, 0.1547019000215941, + 0.06941751924045889, 0.01388350384809178, + ], + preShiv: 48, }, ])( "works correctly with given age $age and options $options", - ({ age, bsa_equation, sex, expectedShiv, expected }) => { + ({ age, sex, expected, options }) => { const result = shivering( - $lerp(17, -5, -1), - $lerp(17, -5, -1), - $lerp(17, 36, 38), - $lerp(17, 30, 34), + math.matrix($lerp(17, -5, -1)), + math.matrix($lerp(17, -5, -1)), + math.matrix($lerp(17, 36, 38)), + math.matrix($lerp(17, 30, 34)), 1.72, 74.43, - bsa_equation, + "dubois", age, sex, - {}, - ); - - expect(PRE_SHIV).toBeCloseTo(expectedShiv); + 60, + options, + ).toArray(); expect(result).toHaveLength(expected.length); for (let i = 0; i < expected.length; i++) { - expect(result[i]).toBeCloseTo(expected[i]); + expect(result[i]).toBeCloseTo(expected[i], 13); } }, ); diff --git a/tests/jos3_functions/thermoregulation/skin_blood_flow.test.js b/tests/jos3_functions/thermoregulation/skin_blood_flow.test.js index 009a393..4b50e6b 100644 --- a/tests/jos3_functions/thermoregulation/skin_blood_flow.test.js +++ b/tests/jos3_functions/thermoregulation/skin_blood_flow.test.js @@ -1,43 +1,44 @@ import { skin_blood_flow } from "../../../src/jos3_functions/thermoregulation/skin_blood_flow"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("skin_blood_flow", () => { it.each([ { age: 20, expected: [ - 24.230143557263187, 6.364876726542825, 24.192163391361344, - 21.295863167120274, 34.715034049850765, 8.648423125492805, - 4.6496361900695735, 16.36839851361775, 9.193870867997145, - 4.942884280101641, 17.400737691305178, 26.606110387435855, - 7.299829837048958, 15.312946245821113, 28.284132222985352, - 7.760223095739952, 16.278719062400032, + 24.303102589863705, 6.392795481701565, 24.325504462771203, + 21.441665582494252, 34.997709875245285, 8.728079349976067, + 4.698289478291021, 16.564292938097946, 9.31408609467257, + 5.013734516359185, 17.676426202890116, 27.06338811055306, + 7.433159005841143, 15.615057345156426, 28.880434831967982, + 7.9322242797878575, 16.663458551901805, ], }, { age: 61, expected: [ - 16.704761670069523, 4.375739470682227, 9.681242792743468, - 8.389589154257639, 9.87802173962727, 3.6158760418662994, - 1.9622137619488487, 6.493245483565689, 3.8439258719443257, - 2.085968699841641, 6.902768241546565, 7.521390867956149, - 2.3066177191198762, 4.4525938163632865, 7.995757768128562, - 2.4520938839025463, 4.733414633081335, + 16.754556209819384, 4.394834452093219, 9.7311887869613, + 8.444365458928788, 9.952975918891873, 3.647580618615998, + 1.981844511386393, 6.568779123396375, 3.8924806428508925, + 2.1149063459600397, 7.009809585698761, 7.646557467698562, + 2.347006194539438, 4.537738518368928, 8.159950399878202, + 2.5045851308318032, 4.842404100658873, ], }, ])( "should return the correct value when age is $age", ({ age, expected }) => { const result = skin_blood_flow( - $lerp(17, 1, 3), - $lerp(17, 3, 6), + math.matrix($lerp(17, 1, 3)), + math.matrix($lerp(17, 3, 6)), 1.72, 74.43, "dubois", age, 2.59, - ); + ).toArray(); expect(result).toHaveLength(expected.length); diff --git a/tests/jos3_functions/thermoregulation/sum_bf.test.js b/tests/jos3_functions/thermoregulation/sum_bf.test.js index 6b0b633..9cbb628 100644 --- a/tests/jos3_functions/thermoregulation/sum_bf.test.js +++ b/tests/jos3_functions/thermoregulation/sum_bf.test.js @@ -13,7 +13,7 @@ describe("sum_bf", () => { 18, ); - const expected = 477.0; + const expected = 482.5; expect(result).toBe(expected); }); diff --git a/tests/jos3_functions/thermoregulation/sum_m.test.js b/tests/jos3_functions/thermoregulation/sum_m.test.js index 915a42d..b578afc 100644 --- a/tests/jos3_functions/thermoregulation/sum_m.test.js +++ b/tests/jos3_functions/thermoregulation/sum_m.test.js @@ -1,56 +1,52 @@ import { sum_m } from "../../../src/jos3_functions/thermoregulation/sum_m"; import { describe, it, expect } from "@jest/globals"; import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("sum_m", () => { it("returns correct result", () => { const result = sum_m( [ - $lerp(17, 9, 12), - $lerp(17, 12, 15), - $lerp(17, 15, 18), - $lerp(17, 18, 21), + math.matrix($lerp(17, 9, 12)), + math.matrix($lerp(17, 12, 15)), + math.matrix($lerp(17, 15, 18)), + math.matrix($lerp(17, 18, 21)), ], - $lerp(17, 1, 3), - $lerp(17, 3, 6), - $lerp(17, 6, 9), + math.matrix($lerp(17, 1, 3)), + math.matrix($lerp(17, 3, 6)), + math.matrix($lerp(17, 6, 9)), ); - const expected = [ - [ - 15, 19.64705882352941, 20.294117647058822, 20.941176470588236, - 16.41176470588235, 22.235294117647058, 22.88235294117647, - 23.52941176470588, 24.176470588235297, 24.823529411764703, - 25.47058823529412, 26.11764705882353, 26.764705882352942, - 27.411764705882355, 28.05882352941176, 28.70588235294118, - 29.35294117647059, + const expected = { + q_thermogenesis_core: [ + 15.0, 19.6875, 20.375, 21.0625, 16.5, 22.4375, 23.125, 23.8125, 24.5, + 25.1875, 25.875, 26.5625, 27.25, 27.9375, 28.625, 29.3125, 30.0, ], - [ - 16, 12.176470588235293, 12.352941176470589, 12.529411764705882, - 17.88235294117647, 12.882352941176471, 13.058823529411764, - 13.235294117647058, 13.411764705882353, 13.588235294117647, - 13.764705882352942, 13.941176470588236, 14.117647058823529, - 14.294117647058824, 14.470588235294118, 14.647058823529413, - 14.823529411764707, + q_thermogenesis_muscle: [ + 16.0, 12.1875, 12.375, 12.5625, 18.0, 12.9375, 13.125, 13.3125, 13.5, + 13.6875, 13.875, 14.0625, 14.25, 14.4375, 14.625, 14.8125, 15.0, ], - [ - 15, 15.176470588235293, 15.352941176470589, 15.529411764705882, - 15.705882352941176, 15.882352941176471, 16.058823529411764, - 16.235294117647058, 16.41176470588235, 16.58823529411765, - 16.764705882352942, 16.941176470588236, 17.11764705882353, - 17.294117647058822, 17.470588235294116, 17.647058823529413, - 17.823529411764707, + q_thermogenesis_fat: [ + 15.0, 15.1875, 15.375, 15.5625, 15.75, 15.9375, 16.125, 16.3125, 16.5, + 16.6875, 16.875, 17.0625, 17.25, 17.4375, 17.625, 17.8125, 18.0, ], - [ - 18, 18.176470588235293, 18.352941176470587, 18.529411764705884, - 18.705882352941178, 18.88235294117647, 19.058823529411764, - 19.235294117647058, 19.41176470588235, 19.58823529411765, - 19.764705882352942, 19.941176470588236, 20.11764705882353, - 20.294117647058822, 20.470588235294116, 20.647058823529413, - 20.823529411764707, + q_thermogenesis_skin: [ + 18.0, 18.1875, 18.375, 18.5625, 18.75, 18.9375, 19.125, 19.3125, 19.5, + 19.6875, 19.875, 20.0625, 20.25, 20.4375, 20.625, 20.8125, 21.0, ], - ]; + }; - expect(result).toStrictEqual(expected); + expect(result.q_thermogenesis_core.toArray()).toStrictEqual( + expected.q_thermogenesis_core, + ); + expect(result.q_thermogenesis_muscle.toArray()).toStrictEqual( + expected.q_thermogenesis_muscle, + ); + expect(result.q_thermogenesis_fat.toArray()).toStrictEqual( + expected.q_thermogenesis_fat, + ); + expect(result.q_thermogenesis_skin.toArray()).toStrictEqual( + expected.q_thermogenesis_skin, + ); }); }); diff --git a/tests/jos3_functions/thermoregulation/wet_r.test.js b/tests/jos3_functions/thermoregulation/wet_r.test.js index 7b516c9..188ffce 100644 --- a/tests/jos3_functions/thermoregulation/wet_r.test.js +++ b/tests/jos3_functions/thermoregulation/wet_r.test.js @@ -1,31 +1,32 @@ import { wet_r } from "../../../src/jos3_functions/thermoregulation/wet_r"; import { describe, it, expect } from "@jest/globals"; -import { $array, $lerp } from "../../../src/supa"; +import { $lerp } from "../../../src/supa"; +import * as math from "mathjs"; describe("wet_r", () => { it("throws an error if hc is negative", () => { - expect(() => wet_r([-1], [])).toThrow( + expect(() => wet_r(math.matrix([-1]), math.matrix([]))).toThrow( "Input parameter hc must be non-negative.", ); }); it("should return the correct value", () => { const expected = [ - 0.0021645021645021645, 0.003349471689074972, 0.004535720923832167, - 0.005723199160890929, 0.006911858199076293, 0.008101652195580091, - 0.009292537527831646, 0.01048447266477957, 0.011677418046854316, - 0.012876188354129531, 0.01408040692912621, 0.015285091429744541, - 0.01649022961406062, 0.01769580964370202, 0.01890182006783671, - 0.020108249807904748, 0.021315088143053263, + 0.0021645021645021645, 0.003423575313939129, 0.004684089504371918, + 0.005945984200305834, 0.007209202036788244, 0.008473688620747445, + 0.009739392346802675, 0.011006264226345363, 0.012274257728803185, + 0.013553503235181343, 0.014833280927405077, 0.016113575919067133, + 0.01739437384598675, 0.01867566084416913, 0.019957423528852103, + 0.021239648974578626, 0.02252232469623774, ]; const result = wet_r( - $lerp(17, 28, 32), - $lerp(17, 0, 1), - $array(17, 0.45), + math.matrix($lerp(17, 28, 32)), + math.matrix($lerp(17, 0, 1)), + math.dotMultiply(math.ones(17), 0.45), 16.5, ); - expect(result).toStrictEqual(expected); + expect(result.toArray()).toStrictEqual(expected); }); }); diff --git a/tests/models/1_run_dict.json b/tests/models/1_run_dict.json new file mode 100644 index 0000000..55c57fd --- /dev/null +++ b/tests/models/1_run_dict.json @@ -0,0 +1,578 @@ +{ + "cycle_time": [0], + "simulation_time": [0], + "dt": [60000], + "t_skin_mean": [34.46418466255792], + "t_skin_head": [34.98583652881713], + "t_skin_neck": [35.10668504573099], + "t_skin_chest": [34.61642143810777], + "t_skin_back": [34.52453966623942], + "t_skin_pelvis": [35.844809578238284], + "t_skin_left_shoulder": [34.25228779730484], + "t_skin_left_arm": [33.857087457104285], + "t_skin_left_hand": [34.308156507844046], + "t_skin_right_shoulder": [34.2522877973049], + "t_skin_right_arm": [33.8570874571043], + "t_skin_right_hand": [34.308156507844096], + "t_skin_left_thigh": [34.15023407024665], + "t_skin_left_leg": [33.95264011542674], + "t_skin_left_foot": [34.11693174783236], + "t_skin_right_thigh": [34.15023407024672], + "t_skin_right_leg": [33.95264011542693], + "t_skin_right_foot": [34.11693174783242], + "t_core_head": [37.27948664648618], + "t_core_neck": [36.81782751853464], + "t_core_chest": [37.046763146185384], + "t_core_back": [37.10669294345571], + "t_core_pelvis": [37.25856827899341], + "t_core_left_shoulder": [36.25197837683718], + "t_core_left_arm": [35.71685683735247], + "t_core_left_hand": [34.90385741306187], + "t_core_right_shoulder": [36.25197837683733], + "t_core_right_arm": [35.7168568373525], + "t_core_right_hand": [34.903857413061935], + "t_core_left_thigh": [36.67563450105145], + "t_core_left_leg": [36.32476524669076], + "t_core_left_foot": [34.602386529646225], + "t_core_right_thigh": [36.675634501051476], + "t_core_right_leg": [36.32476524669116], + "t_core_right_foot": [34.602386529646274], + "w_mean": [0.05999999999999999], + "w_head": [0.06], + "w_neck": [0.06], + "w_chest": [0.06], + "w_back": [0.06], + "w_pelvis": [0.06], + "w_left_shoulder": [0.06], + "w_left_arm": [0.06], + "w_left_hand": [0.06], + "w_right_shoulder": [0.06], + "w_right_arm": [0.06], + "w_right_hand": [0.06], + "w_left_thigh": [0.06], + "w_left_leg": [0.06], + "w_left_foot": [0.06], + "w_right_thigh": [0.06], + "w_right_leg": [0.06], + "w_right_foot": [0.06], + "weight_loss_by_evap_and_res": [0.011094527785290931], + "cardiac_output": [309.3525279636547], + "q_thermogenesis_total": [109.95300054410399], + "q_res": [8.222503033578032], + "q_skin2env_head": [8.220790562331835], + "q_skin2env_neck": [2.205000373975029], + "q_skin2env_chest": [9.319394672853791], + "q_skin2env_back": [8.14893481599888], + "q_skin2env_pelvis": [13.708771815913414], + "q_skin2env_left_shoulder": [5.495164499822654], + "q_skin2env_left_arm": [3.3060484333347873], + "q_skin2env_left_hand": [2.820093545556136], + "q_skin2env_right_shoulder": [5.495164499822711], + "q_skin2env_right_arm": [3.306048433334798], + "q_skin2env_right_hand": [2.820093545556159], + "q_skin2env_left_thigh": [10.530261655946674], + "q_skin2env_left_leg": [5.065172487729327], + "q_skin2env_left_foot": [2.847055691927899], + "q_skin2env_right_thigh": [10.530261655946806], + "q_skin2env_right_leg": [5.065172487729508], + "q_skin2env_right_foot": [2.8470556919279275], + "q_skin2env_sensible_head": [6.440954076143588], + "q_skin2env_sensible_neck": [1.7309250675709411], + "q_skin2env_sensible_chest": [7.500790175803339], + "q_skin2env_sensible_back": [6.522605091849611], + "q_skin2env_sensible_pelvis": [11.263997393500407], + "q_skin2env_sensible_left_shoulder": [4.3203724762556], + "q_skin2env_sensible_left_arm": [2.573914713376867], + "q_skin2env_sensible_left_hand": [2.1950032987361725], + "q_skin2env_sensible_right_shoulder": [4.320372476255651], + "q_skin2env_sensible_right_arm": [2.573914713376878], + "q_skin2env_sensible_right_hand": [2.195003298736192], + "q_skin2env_sensible_left_thigh": [8.564210966911979], + "q_skin2env_sensible_left_leg": [4.310849252685041], + "q_skin2env_sensible_left_foot": [2.464376300823253], + "q_skin2env_sensible_right_thigh": [8.564210966912105], + "q_skin2env_sensible_right_leg": [4.310849252685212], + "q_skin2env_sensible_right_foot": [2.4643763008232793], + "q_skin2env_latent_head": [1.7798364861882476], + "q_skin2env_latent_neck": [0.4740753064040876], + "q_skin2env_latent_chest": [1.8186044970504518], + "q_skin2env_latent_back": [1.626329724149269], + "q_skin2env_latent_pelvis": [2.444774422413006], + "q_skin2env_latent_left_shoulder": [1.174792023567054], + "q_skin2env_latent_left_arm": [0.7321337199579199], + "q_skin2env_latent_left_hand": [0.6250902468199633], + "q_skin2env_latent_right_shoulder": [1.1747920235670604], + "q_skin2env_latent_right_arm": [0.7321337199579199], + "q_skin2env_latent_right_hand": [0.6250902468199668], + "q_skin2env_latent_left_thigh": [1.966050689034695], + "q_skin2env_latent_left_leg": [0.7543232350442859], + "q_skin2env_latent_left_foot": [0.3826793911046459], + "q_skin2env_latent_right_thigh": [1.9660506890347005], + "q_skin2env_latent_right_leg": [0.7543232350442964], + "q_skin2env_latent_right_foot": [0.38267939110464805], + "q_res_sensible": [0.8096938960067809], + "q_res_latent": [7.412809137571252], + "name": ["JOS3"], + "height": [1.72], + "weight": [74.43], + "bsa_head": [0.11005713796319246], + "bsa_neck": [0.02901506364484165], + "bsa_chest": [0.1750909013050789], + "bsa_back": [0.1610836292006726], + "bsa_pelvis": [0.22111479536241394], + "bsa_left_shoulder": [0.09604986585878615], + "bsa_left_arm": [0.06303272446982841], + "bsa_left_hand": [0.05002597180145112], + "bsa_right_shoulder": [0.09604986585878615], + "bsa_right_arm": [0.06303272446982841], + "bsa_right_hand": [0.05002597180145112], + "bsa_left_thigh": [0.20910856213006568], + "bsa_left_leg": [0.1120581768352505], + "bsa_left_foot": [0.05602908841762525], + "bsa_right_thigh": [0.20910856213006568], + "bsa_right_leg": [0.1120581768352505], + "bsa_right_foot": [0.05602908841762525], + "fat": [15], + "sex": ["male"], + "age": [20], + "t_core_set_head": [37.2794857325035], + "t_core_set_neck": [36.817826612366005], + "t_core_set_chest": [37.04676221735688], + "t_core_set_back": [37.106692016074064], + "t_core_set_pelvis": [37.25856731982281], + "t_core_set_left_shoulder": [36.25197752183496], + "t_core_set_left_arm": [35.71685601489091], + "t_core_set_left_hand": [34.90385675284975], + "t_core_set_right_shoulder": [36.2519775218351], + "t_core_set_right_arm": [35.71685601489095], + "t_core_set_right_hand": [34.903856752849805], + "t_core_set_left_thigh": [36.675633557689096], + "t_core_set_left_leg": [36.32476429640966], + "t_core_set_left_foot": [34.602385885429825], + "t_core_set_right_thigh": [36.67563355768914], + "t_core_set_right_leg": [36.32476429641006], + "t_core_set_right_foot": [34.602385885429875], + "t_skin_set_head": [34.98583588425839], + "t_skin_set_neck": [35.10668437701332], + "t_skin_set_chest": [34.61642082230399], + "t_skin_set_back": [34.52453906447294], + "t_skin_set_pelvis": [35.8448087799485], + "t_skin_set_left_shoulder": [34.25228721571578], + "t_skin_set_left_arm": [33.85708690208492], + "t_skin_set_left_hand": [34.308155926164105], + "t_skin_set_right_shoulder": [34.252287215715846], + "t_skin_set_right_arm": [33.857086902084944], + "t_skin_set_right_hand": [34.308155926164154], + "t_skin_set_left_thigh": [34.150233478181754], + "t_skin_set_left_leg": [33.95263950759043], + "t_skin_set_left_foot": [34.116931163851426], + "t_skin_set_right_thigh": [34.15023347818183], + "t_skin_set_right_leg": [33.95263950759064], + "t_skin_set_right_foot": [34.11693116385148], + "t_cb": [36.895787875645865], + "t_artery_head": [36.895787875492054], + "t_artery_neck": [36.895787875621906], + "t_artery_chest": [36.89578787557957], + "t_artery_back": [36.89578787558303], + "t_artery_pelvis": [36.89578787541572], + "t_artery_left_shoulder": [36.76002456078816], + "t_artery_left_arm": [36.52923955995219], + "t_artery_left_hand": [35.54000358081729], + "t_artery_right_shoulder": [36.76002456078817], + "t_artery_right_arm": [36.52923955995221], + "t_artery_right_hand": [35.54000358081734], + "t_artery_left_thigh": [36.826782304371214], + "t_artery_left_leg": [36.67336731935297], + "t_artery_left_foot": [35.2246369283959], + "t_artery_right_thigh": [36.826782304371235], + "t_artery_right_leg": [36.673367319353034], + "t_artery_right_foot": [35.22463692839595], + "t_vein_head": [37.1286294916478], + "t_vein_neck": [37.027843684904795], + "t_vein_chest": [36.99530423285108], + "t_vein_back": [37.06467699338318], + "t_vein_pelvis": [36.63899228469504], + "t_vein_left_shoulder": [35.6010834945116], + "t_vein_left_arm": [35.21468563979818], + "t_vein_left_hand": [34.845270389463906], + "t_vein_right_shoulder": [35.601083494511684], + "t_vein_right_arm": [35.214685639798226], + "t_vein_right_hand": [34.845270389463955], + "t_vein_left_thigh": [36.04313378500564], + "t_vein_left_leg": [35.6160489275908], + "t_vein_left_foot": [34.635772634243736], + "t_vein_right_thigh": [36.04313378500574], + "t_vein_right_leg": [35.61604892759106], + "t_vein_right_foot": [34.63577263424378], + "t_superficial_vein_head": [34.25228779728972], + "t_superficial_vein_neck": [33.85708745709104], + "t_superficial_vein_chest": [34.30815650782096], + "t_superficial_vein_back": [34.252287797289775], + "t_superficial_vein_pelvis": [33.85708745709107], + "t_superficial_vein_left_shoulder": [34.308156507821], + "t_superficial_vein_left_arm": [34.150234070220854], + "t_superficial_vein_left_hand": [33.95264011539343], + "t_superficial_vein_right_shoulder": [34.116931747802035], + "t_superficial_vein_right_arm": [34.15023407022093], + "t_superficial_vein_right_hand": [33.95264011539362], + "t_superficial_vein_left_thigh": [34.11693174780209], + "t_muscle_head": [35.56525956589897], + "t_muscle_pelvis": [36.895467897913086], + "t_fat_head": [35.26754117907478], + "t_fat_pelvis": [36.10705391945993], + "to_head": [28.740000000000006], + "to_neck": [28.740000000000006], + "to_chest": [28.740000000000002], + "to_back": [28.740000000000006], + "to_pelvis": [28.740000000000006], + "to_left_shoulder": [28.740000000000006], + "to_left_arm": [28.740000000000006], + "to_left_hand": [28.740000000000006], + "to_right_shoulder": [28.740000000000006], + "to_right_arm": [28.740000000000006], + "to_right_hand": [28.740000000000006], + "to_left_thigh": [28.740000000000006], + "to_left_leg": [28.740000000000002], + "to_left_foot": [28.740000000000006], + "to_right_thigh": [28.740000000000006], + "to_right_leg": [28.740000000000002], + "to_right_foot": [28.740000000000006], + "r_t_head": [0.10672313658551216], + "r_t_neck": [0.10672313658551216], + "r_t_chest": [0.13717325696488264], + "r_t_back": [0.14285619513017847], + "r_t_pelvis": [0.1394689899674413], + "r_t_left_shoulder": [0.12254833363429628], + "r_t_left_arm": [0.1253125937355253], + "r_t_left_hand": [0.12690295796309356], + "r_t_right_shoulder": [0.12254833363429628], + "r_t_right_arm": [0.1253125937355253], + "r_t_right_hand": [0.12690295796309356], + "r_t_left_thigh": [0.13209928477724722], + "r_t_left_leg": [0.13549972302004282], + "r_t_left_foot": [0.12224778800797387], + "r_t_right_thigh": [0.13209928477724722], + "r_t_right_leg": [0.13549972302004282], + "r_t_right_foot": [0.12224778800797387], + "r_et_head": [0.013528355789463922], + "r_et_neck": [0.013528355789463922], + "r_et_chest": [0.020406408732928746], + "r_et_back": [0.020827159428453052], + "r_et_pelvis": [0.021265625942736274], + "r_et_left_shoulder": [0.01678865206005495], + "r_et_left_arm": [0.017072403925858702], + "r_et_left_hand": [0.016514178184413728], + "r_et_right_shoulder": [0.01678865206005495], + "r_et_right_arm": [0.017072403925858702], + "r_et_right_hand": 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[28.740000000000006], + "tr_neck": [28.740000000000006], + "tr_chest": [28.740000000000006], + "tr_back": [28.740000000000006], + "tr_pelvis": [28.740000000000006], + "tr_left_shoulder": [28.740000000000006], + "tr_left_arm": [28.740000000000006], + "tr_left_hand": [28.740000000000006], + "tr_right_shoulder": [28.740000000000006], + "tr_right_arm": [28.740000000000006], + "tr_right_hand": [28.740000000000006], + "tr_left_thigh": [28.740000000000006], + "tr_left_leg": [28.740000000000006], + "tr_left_foot": [28.740000000000006], + "tr_right_thigh": [28.740000000000006], + "tr_right_leg": [28.740000000000006], + "tr_right_foot": [28.740000000000006], + "rh_head": [50], + "rh_neck": [50], + "rh_chest": [50], + "rh_back": [50], + "rh_pelvis": [50], + "rh_left_shoulder": [50], + "rh_left_arm": [50], + "rh_left_hand": [50], + "rh_right_shoulder": [50], + "rh_right_arm": [50], + "rh_right_hand": [50], + "rh_left_thigh": [50], + "rh_left_leg": [50], + "rh_left_foot": [50], + "rh_right_thigh": [50], + "rh_right_leg": [50], + "rh_right_foot": [50], + "v_head": [0.1], + "v_neck": [0.1], + "v_chest": [0.1], + "v_back": [0.1], + "v_pelvis": [0.1], + "v_left_shoulder": [0.1], + "v_left_arm": [0.1], + "v_left_hand": [0.1], + "v_right_shoulder": [0.1], + "v_right_arm": [0.1], + "v_right_hand": [0.1], + "v_left_thigh": [0.1], + "v_left_leg": [0.1], + "v_left_foot": [0.1], + "v_right_thigh": [0.1], + "v_right_leg": [0.1], + "v_right_foot": [0.1], + "par": [1.25], + "clo_head": [0], + "clo_neck": [0], + "clo_chest": [0], + "clo_back": [0], + "clo_pelvis": [0], + "clo_left_shoulder": [0], + "clo_left_arm": [0], + "clo_left_hand": [0], + "clo_right_shoulder": [0], + "clo_right_arm": [0], + "clo_right_hand": [0], + "clo_left_thigh": [0], + "clo_left_leg": [0], + "clo_left_foot": [0], + "clo_right_thigh": [0], + "clo_right_leg": [0], + "clo_right_foot": [0], + "e_skin_head": [1.7798364861882476], + "e_skin_neck": [0.4740753064040876], + "e_skin_chest": [1.8186044970504518], + "e_skin_back": [1.626329724149269], + "e_skin_pelvis": [2.444774422413006], + "e_skin_left_shoulder": [1.174792023567054], + "e_skin_left_arm": [0.7321337199579199], + "e_skin_left_hand": [0.6250902468199633], + "e_skin_right_shoulder": [1.1747920235670604], + "e_skin_right_arm": [0.7321337199579199], + "e_skin_right_hand": [0.6250902468199668], + "e_skin_left_thigh": [1.966050689034695], + "e_skin_left_leg": [0.7543232350442859], + "e_skin_left_foot": [0.3826793911046459], + "e_skin_right_thigh": [1.9660506890347005], + "e_skin_right_leg": [0.7543232350442964], + "e_skin_right_foot": [0.38267939110464805], + "e_max_head": [29.663941436470793], + "e_max_neck": [7.901255106734794], + "e_max_chest": [30.310074950840864], + "e_max_back": [27.105495402487815], + "e_max_pelvis": [40.7462403735501], + "e_max_left_shoulder": [19.5798670594509], + "e_max_left_arm": [12.20222866596533], + "e_max_left_hand": [10.418170780332721], + "e_max_right_shoulder": [19.579867059451008], + "e_max_right_arm": [12.20222866596533], + "e_max_right_hand": [10.418170780332781], + "e_max_left_thigh": [32.76751148391158], + "e_max_left_leg": [12.572053917404766], + "e_max_left_foot": [6.377989851744098], + "e_max_right_thigh": [32.767511483911676], + "e_max_right_leg": [12.572053917404942], + "e_max_right_foot": [6.377989851744134], + "e_sweat_head": [0], + "e_sweat_neck": [0], + "e_sweat_chest": [0], + "e_sweat_back": [0], + "e_sweat_pelvis": [0], + "e_sweat_left_shoulder": [0], + "e_sweat_left_arm": [0], + "e_sweat_left_hand": [0], + "e_sweat_right_shoulder": [0], + "e_sweat_right_arm": [0], + "e_sweat_right_hand": [0], + "e_sweat_left_thigh": [0], + "e_sweat_left_leg": [0], + "e_sweat_left_foot": [0], + "e_sweat_right_thigh": [0], + "e_sweat_right_leg": [0], + "e_sweat_right_foot": [0], + "bf_core_head": [35.30423941882337], + "bf_core_neck": [15.263016900027468], + "bf_core_chest": [91.06934530172512], + "bf_core_back": [89.30801751498808], + "bf_core_pelvis": [18.714221377553365], + "bf_core_left_shoulder": [2.3061138276396864], + "bf_core_left_arm": [1.204237489450689], + "bf_core_left_hand": [0.3118665153305683], + "bf_core_right_shoulder": [2.3061138276396864], + "bf_core_right_arm": [1.204237489450689], + "bf_core_right_hand": [0.3118665153305683], + "bf_core_left_thigh": [5.208582481626051], + "bf_core_left_leg": [2.036115557281899], + "bf_core_left_foot": [0.1746596048775655], + "bf_core_right_thigh": [5.208582481626051], + "bf_core_right_leg": [2.036115557281899], + "bf_core_right_foot": [0.1746596048775655], + "bf_muscle_head": [0.683030021379182], + "bf_muscle_pelvis": [15.072151421017685], + "bf_fat_head": [0.2654002282485091], + "bf_fat_pelvis": [2.2223513452205346], + "bf_skin_head": [1.756649057916547], + "bf_skin_neck": [0.3254908459651527], + "bf_skin_chest": [1.9699707508106319], + "bf_skin_back": [1.4772276855341546], + "bf_skin_pelvis": [2.2754313908702364], + "bf_skin_left_shoulder": [0.9113743687024276], + "bf_skin_left_arm": [0.5087672300009156], + "bf_skin_left_hand": [1.1156824689390157], + "bf_skin_right_shoulder": [0.9113743687024276], + "bf_skin_right_arm": [0.5087672300009156], + "bf_skin_right_hand": [1.1156824689390157], + "bf_skin_left_thigh": [1.458198989923884], + "bf_skin_left_leg": [0.6519832022255828], + "bf_skin_left_foot": [0.935410615789085], + "bf_skin_right_thigh": [1.458198989923884], + "bf_skin_right_leg": [0.6519832022255828], + "bf_skin_right_foot": [0.935410615789085], + "bf_ava_hand": [0], + "bf_ava_foot": [0], + "q_bmr_core_head": [17.1968410354608], + "q_bmr_core_neck": [0.28498677793919996], + "q_bmr_core_chest": [25.234523679931197], + "q_bmr_core_back": [22.5852021516816], + "q_bmr_core_pelvis": [8.364010096987199], + "q_bmr_core_left_shoulder": [1.262209957848], + "q_bmr_core_left_arm": [0.3597518277072], + "q_bmr_core_left_hand": [0.0932364150048], + "q_bmr_core_right_shoulder": [1.262209957848], + "q_bmr_core_right_arm": [0.3597518277072], + "q_bmr_core_right_hand": [0.0932364150048], + "q_bmr_core_left_thigh": [1.3695197939855999], + "q_bmr_core_left_leg": [0.37118648237759994], + "q_bmr_core_left_foot": [0.2198972052], + "q_bmr_core_right_thigh": [1.3695197939855999], + "q_bmr_core_right_leg": [0.37118648237759994], + "q_bmr_core_right_foot": [0.2198972052], + "q_bmr_muscle_head": [0.2216563828416], + "q_bmr_muscle_pelvis": [4.2255446951232], + "q_bmr_fat_head": [0.1117077802416], + "q_bmr_fat_pelvis": [0.8356093797599999], + "q_bmr_skin_head": [0.1336975007616], + "q_bmr_skin_neck": [0.029026431086399997], + "q_bmr_skin_chest": [0.18559324118879997], + "q_bmr_skin_back": [0.1644831094896], + "q_bmr_skin_pelvis": [0.26387664624], + "q_bmr_skin_left_shoulder": [0.0518957404272], + "q_bmr_skin_left_arm": [0.027267253444799997], + "q_bmr_skin_left_hand": [0.0518957404272], + "q_bmr_skin_right_shoulder": [0.0518957404272], + "q_bmr_skin_right_arm": [0.027267253444799997], + "q_bmr_skin_right_hand": [0.0518957404272], + "q_bmr_skin_left_thigh": [0.1266607901952], + "q_bmr_skin_left_leg": [0.023748898161599998], + "q_bmr_skin_left_foot": [0.1037914808544], + "q_bmr_skin_right_thigh": [0.1266607901952], + "q_bmr_skin_right_leg": [0.023748898161599998], + "q_bmr_skin_right_foot": [0.1037914808544], + "q_work_head": [0], + "q_work_neck": [0], + "q_work_chest": [2.0010645673200003], + "q_work_back": [1.7591776416000002], + "q_work_pelvis": [2.8366739470800004], + "q_work_left_shoulder": [0.576130677624], + "q_work_left_arm": [0.305657115228], + "q_work_left_hand": [0.10994860260000001], + "q_work_right_shoulder": [0.576130677624], + "q_work_right_arm": [0.305657115228], + "q_work_right_hand": [0.10994860260000001], + "q_work_left_thigh": [4.419933824520001], + "q_work_left_leg": [2.1769823314800005], + "q_work_left_foot": [0.10994860260000001], + "q_work_right_thigh": [4.419933824520001], + "q_work_right_leg": [2.1769823314800005], + "q_work_right_foot": [0.10994860260000001], + "q_shiv_head": [0], + "q_shiv_neck": [0], + "q_shiv_chest": [0], + "q_shiv_back": [0], + "q_shiv_pelvis": [0], + "q_shiv_left_shoulder": [0], + "q_shiv_left_arm": [0], + "q_shiv_left_hand": [0], + "q_shiv_right_shoulder": [0], + "q_shiv_right_arm": [0], + "q_shiv_right_hand": [0], + "q_shiv_left_thigh": [0], + "q_shiv_left_leg": [0], + "q_shiv_left_foot": [0], + "q_shiv_right_thigh": [0], + "q_shiv_right_leg": [0], + "q_shiv_right_foot": [0], + "q_nst_head": [0], + "q_nst_neck": [0], + "q_nst_chest": [0], + "q_nst_back": [0], + "q_nst_pelvis": [0], + "q_nst_left_shoulder": [0], + "q_nst_left_arm": [0], + "q_nst_left_hand": [0], + "q_nst_right_shoulder": [0], + "q_nst_right_arm": [0], + "q_nst_right_hand": [0], + "q_nst_left_thigh": [0], + "q_nst_left_leg": [0], + "q_nst_left_foot": [0], + "q_nst_right_thigh": [0], + "q_nst_right_leg": [0], + "q_nst_right_foot": [0], + "q_thermogenesis_core_head": [17.1968410354608], + "q_thermogenesis_core_neck": [0.28498677793919996], + "q_thermogenesis_core_chest": [27.235588247251197], + "q_thermogenesis_core_back": [24.3443797932816], + "q_thermogenesis_core_pelvis": [8.364010096987199], + "q_thermogenesis_core_left_shoulder": [1.838340635472], + "q_thermogenesis_core_left_arm": [0.6654089429351999], + "q_thermogenesis_core_left_hand": [0.2031850176048], + "q_thermogenesis_core_right_shoulder": [1.838340635472], + "q_thermogenesis_core_right_arm": [0.6654089429351999], + "q_thermogenesis_core_right_hand": [0.2031850176048], + "q_thermogenesis_core_left_thigh": [5.7894536185056005], + "q_thermogenesis_core_left_leg": [2.5481688138576004], + "q_thermogenesis_core_left_foot": [0.3298458078], + "q_thermogenesis_core_right_thigh": [5.7894536185056005], + "q_thermogenesis_core_right_leg": [2.5481688138576004], + "q_thermogenesis_core_right_foot": [0.3298458078], + "q_thermogenesis_muscle_head": [0.2216563828416], + "q_thermogenesis_muscle_pelvis": [7.0622186422032005], + "q_thermogenesis_fat_head": [0.1117077802416], + "q_thermogenesis_fat_pelvis": [0.8356093797599999], + "q_thermogenesis_skin_head": [0.1336975007616], + "q_thermogenesis_skin_neck": [0.029026431086399997], + "q_thermogenesis_skin_chest": [0.18559324118879997], + "q_thermogenesis_skin_back": [0.1644831094896], + "q_thermogenesis_skin_pelvis": [0.26387664624], + "q_thermogenesis_skin_left_shoulder": [0.0518957404272], + "q_thermogenesis_skin_left_arm": [0.027267253444799997], + "q_thermogenesis_skin_left_hand": [0.0518957404272], + "q_thermogenesis_skin_right_shoulder": [0.0518957404272], + "q_thermogenesis_skin_right_arm": [0.027267253444799997], + "q_thermogenesis_skin_right_hand": [0.0518957404272], + "q_thermogenesis_skin_left_thigh": [0.1266607901952], + "q_thermogenesis_skin_left_leg": [0.023748898161599998], + "q_thermogenesis_skin_left_foot": [0.1037914808544], + "q_thermogenesis_skin_right_thigh": [0.1266607901952], + "q_thermogenesis_skin_right_leg": [0.023748898161599998], + "q_thermogenesis_skin_right_foot": [0.1037914808544] +} diff --git a/tests/models/1_run_getters.json b/tests/models/1_run_getters.json new file mode 100644 index 0000000..7a277c0 --- /dev/null +++ b/tests/models/1_run_getters.json @@ -0,0 +1,198 @@ +[ + { + "property": "tdb", + "expected": [ + 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, + 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74 + ] + }, + { + "property": "tr", + "expected": [ + 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, + 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74 + ] + }, + { + "property": "to", + "expected": [ + 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, + 28.74, 28.74, 28.74, 28.74, 28.74, 28.74, 28.74 + ] + }, + { + "property": "rh", + "expected": [ + 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50 + ] + }, + { + "property": "v", + "expected": [ + 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, + 0.1, 0.1 + ] + }, + { + "property": "posture", + "expected": 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0.1037914808544, 0.1037914808544, 0.1037914808544, + 0.1037914808544 + ] +} diff --git a/tests/models/JOS3.test.js b/tests/models/JOS3.test.js index 963d54d..ee10daa 100644 --- a/tests/models/JOS3.test.js +++ b/tests/models/JOS3.test.js @@ -1,91 +1,134 @@ import { JOS3 } from "../../src/models/JOS3.js"; import { describe, it, expect } from "@jest/globals"; +import single_iteration from "./1_run_dict.json"; +import twenty_iterations from "./20_runs_dict.json"; +import getters from "./1_run_getters.json"; +import setters from "./1_run_setters.json"; +import * as math from "mathjs"; +import { BODY_NAMES } from "../../src/jos3_functions/matrix.js"; describe("JOS3", () => { - it("should return the correct value given certain defaults", () => { - // TODO: Fix dot product calculation for _bodytemp - then uncomment this test (everything else works when this is stubbed) - // const model = new JOS3(); - // - // const expected = { - // cardiac_output: [309.3525279636547], - // cycle_time: [0], - // dt: [60000], - // q_res: [8.222503033578032], - // q_skin2env_back: [8.14893481599888], - // q_skin2env_chest: [9.319394672853791], - // q_skin2env_head: [8.220790562331835], - // q_skin2env_left_arm: [3.3060484333347873], - // q_skin2env_left_foot: [2.847055691927899], - // q_skin2env_left_hand: [2.820093545556136], - // q_skin2env_left_leg: [5.065172487729327], - // q_skin2env_left_shoulder: [5.495164499822654], - // q_skin2env_left_thigh: [10.530261655946674], - // q_skin2env_neck: [2.205000373975029], - // q_skin2env_pelvis: [13.708771815913414], - // q_skin2env_right_arm: [3.306048433334798], - // q_skin2env_right_foot: [2.8470556919279275], - // q_skin2env_right_hand: [2.820093545556159], - // q_skin2env_right_leg: [5.065172487729508], - // q_skin2env_right_shoulder: [5.495164499822711], - // q_skin2env_right_thigh: [10.530261655946806], - // q_thermogenesis_total: [109.95300054410399], - // simulation_time: [0], - // t_core_back: [37.10669294345571], - // t_core_chest: [37.046763146185384], - // t_core_head: [37.27948664648618], - // t_core_left_arm: [35.71685683735247], - // t_core_left_foot: [34.602386529646225], - // t_core_left_hand: [34.90385741306187], - // t_core_left_leg: [36.32476524669076], - // t_core_left_shoulder: [36.25197837683718], - // t_core_left_thigh: [36.67563450105145], - // t_core_neck: [36.81782751853464], - // t_core_pelvis: [37.25856827899341], - // t_core_right_arm: [35.7168568373525], - // t_core_right_foot: [34.602386529646274], - // t_core_right_hand: [34.903857413061935], - // t_core_right_leg: [36.32476524669116], - // t_core_right_shoulder: [36.25197837683733], - // t_core_right_thigh: [36.675634501051476], - // t_skin_back: [34.52453966623942], - // t_skin_chest: [34.61642143810777], - // t_skin_head: [34.98583652881713], - // t_skin_left_arm: [33.857087457104285], - // t_skin_left_foot: [34.11693174783236], - // t_skin_left_hand: [34.308156507844046], - // t_skin_left_leg: [33.95264011542674], - // t_skin_left_shoulder: [34.25228779730484], - // t_skin_left_thigh: [34.15023407024665], - // t_skin_mean: [34.46418466255792], - // t_skin_neck: [35.10668504573099], - // t_skin_pelvis: [35.844809578238284], - // t_skin_right_arm: [33.8570874571043], - // t_skin_right_foot: [34.11693174783242], - // t_skin_right_hand: [34.308156507844096], - // t_skin_right_leg: [33.95264011542693], - // t_skin_right_shoulder: [34.2522877973049], - // t_skin_right_thigh: [34.15023407024672], - // w_back: [0.06], - // w_chest: [0.06], - // w_head: [0.06], - // w_left_arm: [0.06], - // w_left_foot: [0.06], - // w_left_hand: [0.06], - // w_left_leg: [0.06], - // w_left_shoulder: [0.06], - // w_left_thigh: [0.06], - // w_mean: [0.05999999999999999], - // w_neck: [0.06], - // w_pelvis: [0.06], - // w_right_arm: [0.06], - // w_right_foot: [0.06], - // w_right_hand: [0.06], - // w_right_leg: [0.06], - // w_right_shoulder: [0.06], - // w_right_thigh: [0.06], - // weight_loss_by_evap_and_res: [0.011094527785290931], - // }; - // - // expect(model.dict_results()).toBe(expected); + describe("state after single iteration", () => { + describe("results should have correct values", () => { + const jos = new JOS3( + undefined, + undefined, + undefined, + undefined, + undefined, + undefined, + undefined, + undefined, + "all", + ); + + const results = jos.dict_results(); + for (const [key, value] of Object.entries(single_iteration)) { + it(key, () => { + const res = results[key]; + expect(res).not.toBeUndefined(); + + const ex = value[0]; + const ac = res[0]; + + switch (typeof ex) { + case "string": + expect(ac).toBe(ex); + break; + default: + expect(ac).toBeCloseTo(ex, 10); + } + }); + } + }); + + const checkProperty = (prop, expected) => { + if (math.isMatrix(prop)) { + prop = prop.toArray(); + } + + if (Array.isArray(expected)) { + for (let i = 0; i < expected.length; i++) { + expect(prop[i]).toBeCloseTo(expected[i], 10); + } + } else if (typeof expected === "string") { + expect(prop).toBe(expected); + } else if (typeof expected === "number") { + expect(prop).toBeCloseTo(expected, 10); + } else { + throw new Error(`whoops, not implemented for "${typeof expected}"`); + } + }; + + describe("getters return correct values", () => { + const jos = new JOS3(); + + it("body_names", () => { + expect(jos.body_names).toBe(BODY_NAMES); + }); + + it("results", () => { + expect(jos.results).toStrictEqual(jos.dict_results()); + }); + + it.each(getters)("$property", ({ property, expected }) => { + checkProperty(jos[property], expected); + }); + }); + + describe("setters operate appropriately", () => { + it.each(setters)("$property", ({ property, operations }) => { + for (const { next, expected } of operations) { + const jos = new JOS3(); + let set = next; + + if (Array.isArray(set)) { + set = math.matrix(set); + } + + jos[property] = set; + checkProperty(jos[property], expected); + } + }); + }); + }); + + describe("state after 20 iterations", () => { + describe("results should have correct values", () => { + const jos = new JOS3( + undefined, + undefined, + undefined, + undefined, + undefined, + undefined, + undefined, + undefined, + "all", + ); + + jos.simulate(20); + + const results = jos.dict_results(); + for (const [key, value] of Object.entries(twenty_iterations)) { + it(key, () => { + const res = results[key]; + expect(res).not.toBeUndefined(); + + for (let i = 0; i < value.length; i++) { + const ex = value[i]; + const ac = res[i]; + + switch (typeof ex) { + case "string": + expect(ac).toBe(ex); + break; + default: + expect(ac).toBeCloseTo(ex, 10); + } + } + }); + } + }); }); });