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import pytest
from _plotly_utils.basevalidators import CompoundValidator
from plotly.graph_objs.scatter import Marker
# Fixtures
# --------
@pytest.fixture()
def validator():
return CompoundValidator("prop", "scatter", data_class_str="Marker", data_docs="")
# Tests
# -----
def test_acceptance(validator):
val = Marker(color="green", size=10)
res = validator.validate_coerce(val)
assert isinstance(res, Marker)
assert res.color == "green"
assert res.size == 10
def test_acceptance_none(validator):
val = None
res = validator.validate_coerce(val)
assert isinstance(res, Marker)
assert res.color is None
assert res.size is None
def test_acceptance_dict(validator):
val = dict(color="green", size=10)
res = validator.validate_coerce(val)
assert isinstance(res, Marker)
assert res.color == "green"
assert res.size == 10
def test_rejection_type(validator):
val = 37
with pytest.raises(ValueError) as validation_failure:
validator.validate_coerce(val)
assert "Invalid value" in str(validation_failure.value)
def test_rejection_value(validator):
val = dict(color="green", size=10, bogus=99)
with pytest.raises(ValueError) as validation_failure:
validator.validate_coerce(val)
assert (
"Invalid property specified for object of type "
"plotly.graph_objs.scatter.Marker: 'bogus'" in str(validation_failure.value)
)
def test_skip_invalid(validator):
val = dict(
color="green",
size=10,
bogus=99, # Bad property name
colorbar={"bgcolor": "blue", "bogus_inner": 23}, # Bad nested property name
opacity="bogus value", # Bad value for valid property
)
expected = dict(color="green", size=10, colorbar={"bgcolor": "blue"})
res = validator.validate_coerce(val, skip_invalid=True)
assert res.to_plotly_json() == expected
def test_skip_invalid_empty_object(validator):
val = dict(
color="green",
size=10,
colorbar={
"bgcolor": "bad_color", # Bad value for valid property
"bogus_inner": 23, # Bad nested property name
},
opacity=0.5, # Bad value for valid property
)
# The colorbar property should be absent, not None or {}
expected = dict(color="green", size=10, opacity=0.5)
res = validator.validate_coerce(val, skip_invalid=True)
assert res.to_plotly_json() == expected
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