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conftest.py
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conftest.py
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import pytest
import chainladder as cl
def pytest_generate_tests(metafunc):
if "raa" in metafunc.fixturenames:
metafunc.parametrize(
"raa", ["normal_run", "sparse_only_run"], indirect=True)
if "qtr" in metafunc.fixturenames:
metafunc.parametrize(
"qtr", ["normal_run", "sparse_only_run"], indirect=True)
if "clrd" in metafunc.fixturenames:
metafunc.parametrize(
"clrd", ["normal_run", "sparse_only_run"], indirect=True)
if "genins" in metafunc.fixturenames:
metafunc.parametrize(
"genins", ["normal_run", "sparse_only_run"], indirect=True)
if "prism_dense" in metafunc.fixturenames:
metafunc.parametrize(
"prism_dense", ["normal_run", "sparse_only_run"], indirect=True)
if "prism" in metafunc.fixturenames:
metafunc.parametrize("prism", ["normal_run"], indirect=True)
@pytest.fixture
def raa(request):
if request.param == "sparse_only_run":
cl.options.set_option('ARRAY_BACKEND', 'sparse')
else:
cl.options.set_option('ARRAY_BACKEND', 'numpy')
return cl.load_sample('raa')
@pytest.fixture
def qtr(request):
if request.param == "sparse_only_run":
cl.options.set_option('ARRAY_BACKEND', 'sparse')
else:
cl.options.set_option('ARRAY_BACKEND', 'numpy')
return cl.load_sample('quarterly')
@pytest.fixture
def clrd(request):
if request.param == "sparse_only_run":
cl.options.set_option('ARRAY_BACKEND', 'sparse')
else:
cl.options.set_option('ARRAY_BACKEND', 'numpy')
return cl.load_sample('clrd')
@pytest.fixture
def genins(request):
if request.param == "sparse_only_run":
cl.options.set_option('ARRAY_BACKEND', 'sparse')
else:
cl.options.set_option('ARRAY_BACKEND', 'numpy')
return cl.load_sample('genins')
@pytest.fixture
def prism(request):
cl.options.set_option('ARRAY_BACKEND', 'numpy')
return cl.load_sample('prism')
@pytest.fixture
def prism_dense(request):
if request.param == "sparse_only_run":
cl.options.set_option('ARRAY_BACKEND', 'numpy')
else:
cl.options.set_option('ARRAY_BACKEND', 'numpy')
return cl.load_sample('prism').sum()
@pytest.fixture
def atol(): return 1e-4