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Python

import pandas as pd
import pytest
from scaling import Froude
froude = 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
assert froude.proto_to_model(10, 10, 'm', 'm') == 1
def test_froude_time():
assert froude.model_to_proto(1, 25, 's', 's') == 5
assert froude.proto_to_model(5, 25, 's', 's') == 1
def test_froude_force():
assert froude.model_to_proto(1, 10, 'N', 'N') == 1000
assert froude.proto_to_model(1000, 10, 'N', 'N') == pytest.approx(1, 0.1)
def test_froude_overtopping():
assert froude.model_to_proto(10, 4, 'L/m/s', 'L/m/s') == 80
assert froude.proto_to_model(100, 50, 'L/m/s', 'L/m/s') == pytest.approx(
0.28, 0.1)
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'
assert froude.dimensions('Pa') == 'L^-1 M^1 T^-2'
assert froude.dimensions('L/m/s') == 'L^2 T^-1'
assert froude.dimensions('mm^2.s') == 'L^2 T^1'
def test_scaling_exponent():
assert froude.scaling_exponent('m') == 1
assert froude.scaling_exponent('kg') == 3
assert froude.scaling_exponent('s') == 0.5
assert froude.scaling_exponent('N') == 3
assert froude.scaling_exponent('Pa') == 1
assert froude.scaling_exponent('L/m/s') == 1.5
assert froude.scaling_exponent('mm^2.s') == 2.5