remove useless tests.

tests/test_args.py

-import os
-
-from pyPLNmodels.models import PLN, PLNPCA, _PLNPCA
-from pyPLNmodels import get_simulated_count_data, get_real_count_data
-import pytest
-from pytest_lazyfixture import lazy_fixture as lf
-import pandas as pd
-import numpy as np
-
-(
-    counts_sim,
-    covariates_sim,
-    offsets_sim,
-) = get_simulated_count_data(nb_cov=2)
-
-couts_real = get_real_count_data(n_samples=298, dim=101)
-RANKS = [2, 8]
-
-
-@pytest.fixture
-def instance_plnpca():
-    plnpca = PLNPCA(ranks=RANKS)
-    return plnpca
-
-
-@pytest.fixture
-def instance__plnpca():
-    model = _PLNPCA(rank=RANKS[0])
-    return model
-
-
-@pytest.fixture
-def instance_pln_full():
-    return PLN()
-
-
-all_instances = [lf("instance_plnpca"), lf("instance__plnpca"), lf("instance_pln_full")]
-
-
-@pytest.mark.parametrize("instance", all_instances)
-def test_pandas_init(instance):
-    instance.fit(
-        pd.DataFrame(counts_sim.numpy()),
-        pd.DataFrame(covariates_sim.numpy()),
-        pd.DataFrame(offsets_sim.numpy()),
-    )
-
-
-@pytest.mark.parametrize("instance", all_instances)
-def test_numpy_init(instance):
-    instance.fit(counts_sim.numpy(), covariates_sim.numpy(), offsets_sim.numpy())
-
-
-@pytest.mark.parametrize("sim_pln", simulated_any_pln)
-def test_only_counts(sim_pln):
-    sim_pln.fit()
-
-
-@pytest.mark.parametrize("sim_pln", simulated_any_pln)
-def test_only_counts_and_offsets(sim_pln):
-    sim_pln.fit(counts=counts_sim, offsets=offsets_sim)
-
-
-@pytest.mark.parametrize("sim_pln", simulated_any_pln)
-def test_only_Y_and_cov(sim_pln):
-    sim_pln.fit(counts=counts_sim, covariates=covariates_sim)

tests/test_common.py

@@ -119,6 +119,7 @@ def test_fail_count_setter(pln):
 def test_setter_with_numpy(pln):
     np_counts = pln.counts.numpy()
     pln.counts = np_counts
+    pln.fit()
 
 
 @pytest.mark.parametrize("pln", dict_fixtures["all_pln"])
@@ -126,6 +127,7 @@ def test_setter_with_numpy(pln):
 def test_setter_with_pandas(pln):
     pd_counts = pd.DataFrame(pln.counts.numpy())
     pln.counts = pd_counts
+    pln.fit()
 
 
 @pytest.mark.parametrize("instance", dict_fixtures["instances"])

tests/test_pln_full.py

@@ -2,8 +2,3 @@ import torch
 
 from import_fixtures_and_data import get_dict_fixtures
 from pyPLNmodels import PLN
-
-
-df = get_dict_fixtures(PLN)
-for key, fixture in df.items():
-    print(len(fixture))