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import pytest
import numpy as np
import pandas as pd
from _plotly_utils.basevalidators import EnumeratedValidator
# Fixtures
# --------
@pytest.fixture()
def validator():
values = ["first", "second", "third", 4]
return EnumeratedValidator("prop", "parent", values, array_ok=False)
@pytest.fixture()
def validator_re():
values = ["foo", "/bar(\d)+/", "baz"]
return EnumeratedValidator("prop", "parent", values, array_ok=False)
@pytest.fixture()
def validator_aok():
values = ["first", "second", "third", 4]
return EnumeratedValidator("prop", "parent", values, array_ok=True)
@pytest.fixture()
def validator_aok_re():
values = ["foo", "/bar(\d)+/", "baz"]
return EnumeratedValidator("prop", "parent", values, array_ok=True)
# Array not ok
# ------------
# ### Acceptance ###
@pytest.mark.parametrize("val", ["first", "second", "third", 4])
def test_acceptance(val, validator):
# Values should be accepted and returned unchanged
assert validator.validate_coerce(val) == val
# ### Value Rejection ###
@pytest.mark.parametrize(
"val",
[True, 0, 1, 23, np.inf, set(), ["first", "second"], [True], ["third", 4], [4]],
)
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)
# Array not ok, regular expression
# --------------------------------
@pytest.mark.parametrize("val", ["foo", "bar0", "bar1", "bar234"])
def test_acceptance(val, validator_re):
# Values should be accepted and returned unchanged
assert validator_re.validate_coerce(val) == val
# ### Value Rejection ###
@pytest.mark.parametrize("val", [12, set(), "bar", "BAR0", "FOO"])
def test_rejection_by_value(val, validator_re):
with pytest.raises(ValueError) as validation_failure:
validator_re.validate_coerce(val)
assert "Invalid value" in str(validation_failure.value)
# Array ok
# --------
# ### Acceptance ###
@pytest.mark.parametrize(
"val",
[
"first",
"second",
"third",
4,
[],
["first", 4],
[4],
["third", "first"],
["first", "second", "third", 4],
],
)
def test_acceptance_aok(val, validator_aok):
# Values should be accepted and returned unchanged
coerce_val = validator_aok.validate_coerce(val)
if isinstance(val, (list, np.ndarray)):
assert np.array_equal(coerce_val, np.array(val, dtype=coerce_val.dtype))
else:
assert coerce_val == val
# ### Rejection by value ###
@pytest.mark.parametrize("val", [True, 0, 1, 23, np.inf, set()])
def test_rejection_by_value_aok(val, validator_aok):
with pytest.raises(ValueError) as validation_failure:
validator_aok.validate_coerce(val)
assert "Invalid value" in str(validation_failure.value)
# ### Reject by elements ###
@pytest.mark.parametrize(
"val", [[True], [0], [1, 23], [np.inf, set()], ["ffirstt", "second", "third"]]
)
def test_rejection_by_element_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)
# Array ok, regular expression
# ----------------------------
# ### Acceptance ###
@pytest.mark.parametrize(
"val",
[
"foo",
"bar12",
"bar21",
[],
["bar12"],
("foo", "bar012", "baz"),
np.array([], dtype="object"),
np.array(["bar12"]),
np.array(["foo", "bar012", "baz"]),
],
)
def test_acceptance_aok(val, validator_aok_re):
# Values should be accepted and returned unchanged
coerce_val = validator_aok_re.validate_coerce(val)
if isinstance(val, (np.ndarray, pd.Series)):
assert np.array_equal(coerce_val, np.array(val, dtype=coerce_val.dtype))
elif isinstance(val, (list, tuple)):
assert validator_aok_re.present(coerce_val) == tuple(val)
else:
assert validator_aok_re.present(coerce_val) == val
# ### Reject by elements ###
@pytest.mark.parametrize("val", [["bar", "bar0"], ["foo", 123]])
def test_rejection_by_element_aok(val, validator_aok_re):
with pytest.raises(ValueError) as validation_failure:
validator_aok_re.validate_coerce(val)
assert "Invalid element(s)" in str(validation_failure.value)
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