from pathlib import Path from WA import plot_bet_multi, table_bet_multi, water_added_to_pp, freq_change_to_WA, PlotInputTDict, WA_dataset, plot_multi x_ceo2_n = water_added_to_pp([ 10, 10, 10, 25, 25, 50, 50, 50, 75, 75, 100, 100, 100, 150, 150, 150, 200, 200, 200, 240, 240 ]) y_ceo2_n = freq_change_to_WA([ 1 * x for x in [ 10.4, 7.8, 9.9, 19.0, 22.2, 23.5, 25.9, 22.4, 24.6, 28.0, 33.4, 36.1, 24.6, 35.8, 36.0, 25.6, 47.4, 55.7, 32.8, 80.0, 131.2 ] ], mass_mat=46, F0=5751200) ceria_data_500: PlotInputTDict = { "title": "Ceria from nitrate", "data": [ # WA_dataset(x_ceo2_ox, y_ceo2_ox, "CeO\u2082 (oxalate)", color="c", mass=69, temp=75), WA_dataset(x_ceo2_n, y_ceo2_n, "CeO\u2082 (nitrate)", color="b", mass=46, temp=75), ], } sp = Path(R".\results")
from pathlib import Path from WA import plot_bet_multi, table_bet_multi, water_added_to_pp, freq_change_to_WA, PlotInputTDict, WA_dataset, plot_multi x_uo2_ox = water_added_to_pp( [10, 10, 25, 25, 50, 50, 75, 75, 100, 100, 150, 150, 200, 200, 240, 240]) y_uo2_ox = freq_change_to_WA( [2 * x for x in [8.1, 6.4, 11.9, 12.3, 16.6, 14.2, 20.8, 17.9, 28.1, 22.7, 34.2, 37.5, 45.4, 39.3, 74.2, 111.5]], mass_mat=55, F0=5798366) x_uo2_n = water_added_to_pp( [10, 20, 25, 25, 50, 50, 100, 150, 240]) y_uo2_n = freq_change_to_WA( [2 * x for x in [4.5, 6.8, 12.5, 10.1, 16.3, 17.3, 20.8, 25.1, 100, ]], mass_mat=65, F0=5763900 )
def test_water_added_to_pp(): x = water_added_to_pp([1, 2, 3]) assert len(x) > 2