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test_number_validator.py
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import pytest
from pytest import approx
from _plotly_utils.basevalidators import NumberValidator
import numpy as np
import pandas as pd
# Fixtures
# --------
@pytest.fixture
def validator(request):
return NumberValidator('prop', 'parent')
@pytest.fixture
def validator_min_max(request):
return NumberValidator('prop', 'parent', min=-1.0, max=2.0)
@pytest.fixture
def validator_min(request):
return NumberValidator('prop', 'parent', min=-1.0)
@pytest.fixture
def validator_max(request):
return NumberValidator('prop', 'parent', max=2.0)
@pytest.fixture
def validator_aok():
return NumberValidator('prop', 'parent', min=-1, max=1.5, array_ok=True)
# Array not ok
# ------------
# ### Acceptance ###
@pytest.mark.parametrize('val',
[1.0, 0.0, 1, -1234.5678, 54321, np.pi, np.nan, np.inf, -np.inf])
def test_acceptance(val, validator):
assert validator.validate_coerce(val) == approx(val, nan_ok=True)
# ### Rejection by value ###
@pytest.mark.parametrize('val',
['hello', (), [], [1, 2, 3], set(), '34'])
def test_rejection_by_value(val, validator):
with pytest.raises(ValueError) as validation_failure:
validator.validate_coerce(val)
assert 'Invalid value' in str(validation_failure.value)
# ### With min/max ###
@pytest.mark.parametrize('val',
[0, 0.0, -0.5, 1, 1.0, 2, 2.0, np.pi/2.0])
def test_acceptance_min_max(val, validator_min_max):
assert validator_min_max.validate_coerce(val) == approx(val)
@pytest.mark.parametrize('val',
[-1.01, -10, 2.1, 234, -np.inf, np.nan, np.inf])
def test_rejection_min_max(val, validator_min_max):
with pytest.raises(ValueError) as validation_failure:
validator_min_max.validate_coerce(val)
assert 'in the interval [-1.0, 2.0]' in str(validation_failure.value)
# ### With min only ###
@pytest.mark.parametrize('val',
[0, 0.0, -0.5, 99999, np.inf])
def test_acceptance_min(val, validator_min):
assert validator_min.validate_coerce(val) == approx(val)
@pytest.mark.parametrize('val',
[-1.01, -np.inf, np.nan])
def test_rejection_min(val, validator_min):
with pytest.raises(ValueError) as validation_failure:
validator_min.validate_coerce(val)
assert 'in the interval [-1.0, inf]' in str(validation_failure.value)
# ### With max only ###
@pytest.mark.parametrize('val',
[0, 0.0, -np.inf, -123456, np.pi/2])
def test_acceptance_max(val, validator_max):
assert validator_max.validate_coerce(val) == approx(val)
@pytest.mark.parametrize('val',
[2.01, np.inf, np.nan])
def test_rejection_max(val, validator_max):
with pytest.raises(ValueError) as validation_failure:
validator_max.validate_coerce(val)
assert 'in the interval [-inf, 2.0]' in str(validation_failure.value)
# Array ok
# --------
# ### Acceptance ###
@pytest.mark.parametrize('val',
[1.0, 0.0, 1, 0.4])
def test_acceptance_aok_scalars(val, validator_aok):
assert validator_aok.validate_coerce(val) == val
@pytest.mark.parametrize('val',
[[1.0, 0.0], [1], [-0.1234, .41, -1.0]])
def test_acceptance_aok_list(val, validator_aok):
assert np.array_equal(validator_aok.validate_coerce(val), np.array(val, dtype='float'))
# ### Coerce ###
# Coerced to general consistent numeric type
@pytest.mark.parametrize('val,expected',
[([1.0, 0], (1.0, 0)),
(np.array([1, -1]), np.array([1, -1])),
(pd.Series([1, -1]), np.array([1, -1])),
(pd.Index([1, -1]), np.array([1, -1])),
((-0.1234, 0, -1), (-0.1234, 0.0, -1.0))])
def test_coercion_aok_list(val, expected, validator_aok):
v = validator_aok.validate_coerce(val)
if isinstance(val, (np.ndarray, pd.Series, pd.Index)):
assert np.array_equal(v, expected)
else:
assert isinstance(v, list)
assert validator_aok.present(v) == tuple(val)
# ### Rejection ###
#
@pytest.mark.parametrize('val',
[['a', 4]])
def test_rejection_aok(val, validator_aok):
with pytest.raises(ValueError) as validation_failure:
validator_aok.validate_coerce(val)
assert 'Invalid element(s)' in str(validation_failure.value)
# ### Rejection by element ###
@pytest.mark.parametrize('val',
[[-1.6, 0.0], [1, 1.5, 2], [-0.1234, .41, np.nan],
[0, np.inf], [0, -np.inf]])
def test_rejection_aok_min_max(val, validator_aok):
with pytest.raises(ValueError) as validation_failure:
validator_aok.validate_coerce(val)
assert 'Invalid element(s)' in str(validation_failure.value)
assert 'in the interval [-1, 1.5]' in str(validation_failure.value)