From b498e776f707be399937bf40c21f328e644e3ea0 Mon Sep 17 00:00:00 2001 From: Luis Aleixo Date: Fri, 26 Jan 2024 10:30:37 +0100 Subject: [PATCH] updated data registry to reflect changes in test data service --- caimira/store/data_registry.py | 72 +++++++++++++++++----------------- 1 file changed, 36 insertions(+), 36 deletions(-) diff --git a/caimira/store/data_registry.py b/caimira/store/data_registry.py index ab9d74ab..5f15680a 100644 --- a/caimira/store/data_registry.py +++ b/caimira/store/data_registry.py @@ -26,81 +26,81 @@ class DataRegistry: activity_distributions = { "Seated": { "inhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": -0.6872121723362303, - "standard_deviation_gaussian": 0.10498338229297108, + "lognormal_mean_gaussian": -0.6872121723362303, + "lognormal_standard_deviation_gaussian": 0.10498338229297108, }, }, "exhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": -0.6872121723362303, - "standard_deviation_gaussian": 0.10498338229297108, + "lognormal_mean_gaussian": -0.6872121723362303, + "lognormal_standard_deviation_gaussian": 0.10498338229297108, }, }, }, "Standing": { "inhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": -0.5742377578494785, - "standard_deviation_gaussian": 0.09373162411398223, + "lognormal_mean_gaussian": -0.5742377578494785, + "lognormal_standard_deviation_gaussian": 0.09373162411398223, }, }, "exhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": -0.5742377578494785, - "standard_deviation_gaussian": 0.09373162411398223, + "lognormal_mean_gaussian": -0.5742377578494785, + "lognormal_standard_deviation_gaussian": 0.09373162411398223, }, }, }, "Light activity": { "inhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": 0.21380242785625422, - "standard_deviation_gaussian": 0.09435378091059601, + "lognormal_mean_gaussian": 0.21380242785625422, + "lognormal_standard_deviation_gaussian": 0.09435378091059601, }, }, "exhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": 0.21380242785625422, - "standard_deviation_gaussian": 0.09435378091059601, + "lognormal_mean_gaussian": 0.21380242785625422, + "lognormal_standard_deviation_gaussian": 0.09435378091059601, }, }, }, "Moderate activity": { "inhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": 0.551771330362601, - "standard_deviation_gaussian": 0.1894616357138137, + "lognormal_mean_gaussian": 0.551771330362601, + "lognormal_standard_deviation_gaussian": 0.1894616357138137, }, }, "exhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": 0.551771330362601, - "standard_deviation_gaussian": 0.1894616357138137, + "lognormal_mean_gaussian": 0.551771330362601, + "lognormal_standard_deviation_gaussian": 0.1894616357138137, }, }, }, "Heavy exercise": { "inhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": 1.1644665696723049, - "standard_deviation_gaussian": 0.21744554768657565, + "lognormal_mean_gaussian": 1.1644665696723049, + "lognormal_standard_deviation_gaussian": 0.21744554768657565, }, }, "exhalation_rate": { - "associated_distribution": "Numpy Log-normal Distribution (random.lognormal)", + "associated_distribution": "Log-normal", "parameters": { - "mean_gaussian": 1.1644665696723049, - "standard_deviation_gaussian": 0.21744554768657565, + "lognormal_mean_gaussian": 1.1644665696723049, + "lognormal_standard_deviation_gaussian": 0.21744554768657565, }, }, }, @@ -262,7 +262,7 @@ class DataRegistry: mask_distributions = { "Type I": { "η_inhale": { - "associated_distribution": "Numpy Uniform Distribution (random.uniform)", + "associated_distribution": "Uniform", "parameters": { "low": 0.25, "high": 0.80, @@ -273,7 +273,7 @@ class DataRegistry: }, "FFP2": { "η_inhale": { - "associated_distribution": "Numpy Uniform Distribution (random.uniform)", + "associated_distribution": "Uniform", "parameters": { "low": 0.83, "high": 0.91, @@ -284,7 +284,7 @@ class DataRegistry: }, "Cloth": { "η_inhale": { - "associated_distribution": "Numpy Uniform Distribution (random.uniform)", + "associated_distribution": "Uniform", "parameters": { "low": 0.05, "high": 0.40, @@ -292,7 +292,7 @@ class DataRegistry: }, "Known filtration efficiency of masks when exhaling?": "Yes", "η_exhale": { - "associated_distribution": "Numpy Uniform Distribution (random.uniform)", + "associated_distribution": "Uniform", "parameters": { "low": 0.20, "high": 0.50, @@ -392,7 +392,7 @@ class DataRegistry: "office": {"activity": "Seated", "expiration": {"Speaking": 1, "Breathing": 2}}, "smallmeeting": { "activity": "Seated", - "expiration": {"Speaking": 1, "Breathing": None}, + "expiration": {"Speaking": 1}, }, "largemeeting": { "activity": "Standing", @@ -443,7 +443,7 @@ class DataRegistry: "activity": "Seated", "expiration": {"Breathing": 1, "Speaking": 9}, }, - "precise": {"activity": "", "expiration": {}}, + "precise": {}, } def update(self, data, version=None):