Add array_metadata strategy

Author: dcherian

src/zarr/testing/strategies.py

@@ -1,5 +1,5 @@
 import sys
-from typing import Any
+from typing import Any, Literal
 
 import hypothesis.extra.numpy as npst
 import hypothesis.strategies as st
@@ -8,9 +8,10 @@
 from hypothesis.strategies import SearchStrategy
 
 import zarr
-from zarr.abc.store import RangeByteRequest
+from zarr.abc.store import RangeByteRequest, Store
 from zarr.core.array import Array
 from zarr.core.common import ZarrFormat
+from zarr.core.metadata import ArrayV2Metadata, ArrayV3Metadata
 from zarr.core.sync import sync
 from zarr.storage import MemoryStore, StoreLike
 from zarr.storage._common import _dereference_path
@@ -67,6 +68,11 @@ def safe_unicode_for_dtype(dtype: np.dtype[np.str_]) -> st.SearchStrategy[str]:
     )
 
 
+def clear_store(x: Store) -> Store:
+    sync(x.clear())
+    return x
+
+
 # From https://zarr-specs.readthedocs.io/en/latest/v3/core/v3.0.html#node-names
 # 1. must not be the empty string ("")
 # 2. must not include the character "/"
@@ -85,12 +91,64 @@ def safe_unicode_for_dtype(dtype: np.dtype[np.str_]) -> st.SearchStrategy[str]:
 # st.builds will only call a new store constructor for different keyword arguments
 # i.e. stores.examples() will always return the same object per Store class.
 # So we map a clear to reset the store.
-stores = st.builds(MemoryStore, st.just({})).map(lambda x: sync(x.clear()))
+stores = st.builds(MemoryStore, st.just({})).map(clear_store)
 compressors = st.sampled_from([None, "default"])
 zarr_formats: st.SearchStrategy[ZarrFormat] = st.sampled_from([2, 3])
 array_shapes = npst.array_shapes(max_dims=4, min_side=0)
 
 
+@st.composite  # type: ignore[misc]
+def dimension_names(draw: st.DrawFn, *, ndim: int | None = None) -> list[None | str] | None:
+    simple_text = st.text(zarr_key_chars, min_size=0)
+    return draw(st.none() | st.lists(st.none() | simple_text, min_size=ndim, max_size=ndim))  # type: ignore[no-any-return]
+
+
+@st.composite  # type: ignore[misc]
+def array_metadata(
+    draw: st.DrawFn,
+    *,
+    array_shapes: st.SearchStrategy[tuple[int, ...]] = npst.array_shapes,
+    zarr_formats: st.SearchStrategy[Literal[2, 3]] = zarr_formats,
+    attributes: st.SearchStrategy[dict[str, Any]] = attrs,
+) -> ArrayV2Metadata | ArrayV3Metadata:
+    from zarr.codecs.bytes import BytesCodec
+    from zarr.core.chunk_grids import RegularChunkGrid
+    from zarr.core.chunk_key_encodings import DefaultChunkKeyEncoding
+    from zarr.core.metadata.v3 import ArrayV3Metadata
+
+    zarr_format = draw(zarr_formats)
+    # separator = draw(st.sampled_from(['/', '\\']))
+    shape = draw(array_shapes())
+    ndim = len(shape)
+    chunk_shape = draw(array_shapes(min_dims=ndim, max_dims=ndim))
+    dtype = draw(v3_dtypes())
+    fill_value = draw(npst.from_dtype(dtype))
+    if zarr_format == 2:
+        return ArrayV2Metadata(
+            shape=shape,
+            chunks=chunk_shape,
+            dtype=dtype,
+            fill_value=fill_value,
+            order=draw(st.sampled_from(["C", "F"])),
+            attributes=draw(attributes),
+            dimension_separator=draw(st.sampled_from([".", "/"])),
+            filters=None,
+            compressor=None,
+        )
+    else:
+        return ArrayV3Metadata(
+            shape=shape,
+            data_type=dtype,
+            chunk_grid=RegularChunkGrid(chunk_shape=chunk_shape),
+            fill_value=fill_value,
+            attributes=draw(attributes),
+            dimension_names=draw(dimension_names(ndim=ndim)),
+            chunk_key_encoding=DefaultChunkKeyEncoding(separator="/"),  # FIXME
+            codecs=[BytesCodec()],
+            storage_transformers=(),
+        )
+
+
 @st.composite  # type: ignore[misc]
 def numpy_arrays(
     draw: st.DrawFn,

tests/test_properties.py

@@ -2,13 +2,24 @@
 import pytest
 from numpy.testing import assert_array_equal
 
+from zarr.core.buffer import default_buffer_prototype
+
 pytest.importorskip("hypothesis")
 
 import hypothesis.extra.numpy as npst
 import hypothesis.strategies as st
 from hypothesis import given
 
-from zarr.testing.strategies import arrays, basic_indices, numpy_arrays, zarr_formats
+from zarr.abc.store import Store
+from zarr.core.metadata import ArrayV2Metadata, ArrayV3Metadata
+from zarr.testing.strategies import (
+    array_metadata,
+    arrays,
+    basic_indices,
+    numpy_arrays,
+    stores,
+    zarr_formats,
+)
 
 
 @given(data=st.data(), zarr_format=zarr_formats)
@@ -47,6 +58,17 @@ def test_vindex(data: st.DataObject) -> None:
     assert_array_equal(nparray[indexer], actual)
 
 
+@given(store=stores, meta=array_metadata())  # type: ignore[misc]
+async def test_roundtrip_array_metadata(
+    store: Store, meta: ArrayV2Metadata | ArrayV3Metadata
+) -> None:
+    asdict = meta.to_buffer_dict(prototype=default_buffer_prototype())
+    for key, expected in asdict.items():
+        await store.set(f"0/{key}", expected)
+        actual = await store.get(f"0/{key}", prototype=default_buffer_prototype())
+        assert actual == expected
+
+
 # @st.composite
 # def advanced_indices(draw, *, shape):
 #     basic_idxr = draw(