|
|
|
|
import pandas as pd
|
|
|
|
|
import pytest
|
|
|
|
|
from scaling import froude
|
|
|
|
|
|
|
|
|
|
def test_unit_to_same_unit():
|
|
|
|
|
assert froude.model_to_proto(1, 1, 'm', 'm') == 1
|
|
|
|
|
assert froude.proto_to_model(1, 1, 'm', 'm') == 1
|
|
|
|
|
|
|
|
|
|
def test_unit_to_different_unit():
|
|
|
|
|
assert froude.model_to_proto(1, 1, 'kN', 'N') == 1000
|
|
|
|
|
assert froude.proto_to_model(1000, 1, 'N', 'kN') == 1
|
|
|
|
|
|
|
|
|
|
def test_froude_length():
|
|
|
|
|
assert froude.model_to_proto(1, 10, 'm', 'm') == 10
|
|
|
|
|
|
|
|
|
|
def test_froude_time():
|
|
|
|
|
assert froude.model_to_proto(1, 25, 's', 's') == 5
|
|
|
|
|
|
|
|
|
|
def test_froude_force():
|
|
|
|
|
assert froude.model_to_proto(1, 10, 'N', 'N') == 1000
|
|
|
|
|
|
|
|
|
|
def test_froude_time_index_dataframe():
|
|
|
|
|
df_model = pd.DataFrame(index=[2], data=[20])
|
|
|
|
|
df_proto = froude.model_to_proto(df_model, 16, 'mm', 'm', 's', 's')
|
|
|
|
|
assert df_proto.index.values[0] == 8
|
|
|
|
|
|
|
|
|
|
def test_froude_mass_index_dataframe():
|
|
|
|
|
df_proto = pd.DataFrame(index=[4], data=[16])
|
|
|
|
|
df_model = froude.proto_to_model(df_proto, 2, 'kN', 'N', 'm', 'm')
|
|
|
|
|
assert df_model.index.values[0] == 2
|
|
|
|
|
|
|
|
|
|
def test_unit_dimensions():
|
|
|
|
|
assert froude.dimensions('m') == 'L^1'
|
|
|
|
|
assert froude.dimensions('kg') == 'M^1'
|
|
|
|
|
assert froude.dimensions('s') == 'T^1'
|
|
|
|
|
assert froude.dimensions('N') == 'L^1 M^1 T^-2'
|
|
|
|
|
|
|
|
|
|
def test_scaling_exponent():
|
|
|
|
|
assert froude.scaling_exponent('m') == 1
|
|
|
|
|
assert froude.scaling_exponent('kg') == 3
|
|
|
|
|
assert froude.scaling_exponent('s') == 0.5
|
