disable io

apis/python/tests/ht/test_ht_dataframe.py

@@ -11,7 +11,6 @@
 import pytest
 from hypothesis import strategies as st
 from hypothesis.extra import numpy as ht_np
-from hypothesis.extra import pandas as ht_pd
 from hypothesis.stateful import initialize, invariant, precondition, rule
 from more_itertools import pairwise
 from packaging.version import Version

apis/python/tests/ht/test_ht_io_anndata.py

@@ -1,60 +1,52 @@
-from __future__ import annotations
-
-import pathlib
-
-import anndata
-import hypothesis as ht
-from hypothesis import given, settings
-from hypothesis import strategies as st
-from hypothesis.extra import numpy as ht_np
-from hypothesis.extra import pandas as ht_pd
-
-import tiledbsoma as soma
-import tiledbsoma.io
-
-from tests.ht._ht_util import posix_filename
-
-# from_anndata(experiment_uri: 'str', anndata: 'ad.AnnData', measurement_name: 'str', *, context: 'SOMATileDBContext | None' = None, platform_config: 'PlatformConfig | None' = None, obs_id_name: 'str' = 'obs_id', var_id_name: 'str' = 'var_id', X_layer_name: 'str' = 'data', raw_X_layer_name: 'str' = 'data', ingest_mode: 'IngestMode' = 'write', use_relative_uri: 'bool | None' = None, X_kind: 'Union[Type[SparseNDArray], Type[DenseNDArray]]' = <class 'tiledbsoma._sparse_nd_array.SparseNDArray'>, registration_mapping: 'ExperimentAmbientLabelMapping | None' = None, uns_keys: 'Sequence[str] | None' = None, additional_metadata: 'AdditionalMetadata' = None) -> 'str'
-
-
-@st.composite
-def anndatas(draw: st.DrawFn) -> anndata.AnnData:
-    """
-    is empty OK?
-    is empty obs/var OK?
-    etc
-    """
-
-    obs = draw(
-        ht_pd.data_frames(columns=columns, index=ht_pd.range_indexes(min_size=min_size))
-    )
-
-    return anndata.AnnData()
-
-
-@settings(suppress_health_check=(ht.HealthCheck.function_scoped_fixture,))
-@given(
-    data=st.data(),
-    adata=st.from_type(anndata.AnnData),
-    measurement_name=st.text(min_size=1),
-    X_layer_name=st.text(min_size=1),
-    raw_X_layer_name=st.text(min_size=1),
-)
-def test_roundtrip_from_anndata_to_anndata(
-    data: st.DataFn,
-    adata: anndata.AnnData,
-    measurement_name: str,
-    X_layer_name: str,
-    raw_X_layer_name: str,
-    tmp_path_factory,  # fixure
-) -> None:
-
-    experiment_uri = tmp_path_factory.mktemp("anndata-").as_posix()
-
-    print("from_anndata(")
-    print(adata)
-    print(experiment_uri)
-    print(measurement_name)
-    print(X_layer_name)
-    print(raw_X_layer_name)
-    print(")")
+# from __future__ import annotations
+
+# import anndata
+# import hypothesis as ht
+# from hypothesis import given, settings
+# from hypothesis import strategies as st
+# from hypothesis.extra import pandas as ht_pd
+
+# # from_anndata(experiment_uri: 'str', anndata: 'ad.AnnData', measurement_name: 'str', *, context: 'SOMATileDBContext | None' = None, platform_config: 'PlatformConfig | None' = None, obs_id_name: 'str' = 'obs_id', var_id_name: 'str' = 'var_id', X_layer_name: 'str' = 'data', raw_X_layer_name: 'str' = 'data', ingest_mode: 'IngestMode' = 'write', use_relative_uri: 'bool | None' = None, X_kind: 'Union[Type[SparseNDArray], Type[DenseNDArray]]' = <class 'tiledbsoma._sparse_nd_array.SparseNDArray'>, registration_mapping: 'ExperimentAmbientLabelMapping | None' = None, uns_keys: 'Sequence[str] | None' = None, additional_metadata: 'AdditionalMetadata' = None) -> 'str'
+
+
+# @st.composite
+# def anndatas(draw: st.DrawFn) -> anndata.AnnData:
+#     """
+#     is empty OK?
+#     is empty obs/var OK?
+#     etc
+#     """
+
+#     obs = draw(
+#         ht_pd.data_frames(columns=columns, index=ht_pd.range_indexes(min_size=min_size))
+#     )
+
+#     return anndata.AnnData()
+
+
+# @settings(suppress_health_check=(ht.HealthCheck.function_scoped_fixture,))
+# @given(
+#     data=st.data(),
+#     adata=st.from_type(anndata.AnnData),
+#     measurement_name=st.text(min_size=1),
+#     X_layer_name=st.text(min_size=1),
+#     raw_X_layer_name=st.text(min_size=1),
+# )
+# def test_roundtrip_from_anndata_to_anndata(
+#     data: st.DataFn,
+#     adata: anndata.AnnData,
+#     measurement_name: str,
+#     X_layer_name: str,
+#     raw_X_layer_name: str,
+#     tmp_path_factory,  # fixure
+# ) -> None:
+
+#     experiment_uri = tmp_path_factory.mktemp("anndata-").as_posix()
+
+#     print("from_anndata(")
+#     print(adata)
+#     print(experiment_uri)
+#     print(measurement_name)
+#     print(X_layer_name)
+#     print(raw_X_layer_name)
+#     print(")")