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