remove duplicated tests

Author: brokkoli71

src/zarr/api/asynchronous.py

@@ -18,10 +18,9 @@
     ChunkCoords,
     MemoryOrder,
     ZarrFormat,
-    parse_dtype,
-    concurrent_map,
     _warn_order_kwarg,
     _warn_write_empty_chunks_kwarg,
+    concurrent_map,
     parse_dtype,
 )
 from zarr.core.config import config

tests/test_array.py

@@ -866,27 +866,6 @@ async def test_special_complex_fill_values_roundtrip(fill_value: Any, expected:
     assert actual["fill_value"] == expected
 
 
-async def test_creation_from_other_zarr(tmpdir):
-    src = zarr.zeros(
-        (2000, 20000), chunks=(1000, 1000), dtype="uint8", store=LocalStore(str(tmpdir))
-    )
-    src[:] = 1
-    for _i in range(10):
-        start_time = time.time()
-        c = zarr.array(src, store=MemoryStore())
-        end_time = time.time()
-        print(f"Time fast: {end_time - start_time} seconds")
-
-        start_time = time.time()
-        b = zarr.zeros(src.shape, chunks=src.chunks, store=MemoryStore())
-        b[:] = src[:]
-        end_time = time.time()
-        print(f"Time slow: {end_time - start_time} seconds")
-
-    assert b[123, 123] == 1
-    assert c[123, 123] == 1
-
-
 @pytest.mark.parametrize("shape", [(1,), (2, 3), (4, 5, 6)])
 @pytest.mark.parametrize("dtype", ["uint8", "float32"])
 @pytest.mark.parametrize("array_type", ["async", "sync"])
@@ -912,26 +891,22 @@ async def test_scalar_array() -> None:
     assert arr.shape == ()
 
 
-@pytest.mark.parametrize("shape", [(1,), (2, 3), (4, 5, 6)])
-@pytest.mark.parametrize("dtype", ["uint8", "float32"])
-@pytest.mark.parametrize("array_type", ["async", "sync"])
-async def test_nbytes(
-    shape: tuple[int, ...], dtype: str, array_type: Literal["async", "sync"]
-) -> None:
-    """
-    Test that the ``nbytes`` attribute of an Array or AsyncArray correctly reports the capacity of
-    the chunks of that array.
-    """
-    store = MemoryStore()
-    arr = Array.create(store=store, shape=shape, dtype=dtype, fill_value=0)
-    if array_type == "async":
-        assert arr._async_array.nbytes == np.prod(arr.shape) * arr.dtype.itemsize
-    else:
-        assert arr.nbytes == np.prod(arr.shape) * arr.dtype.itemsize
+async def test_creation_from_other_zarr(tmpdir):
+    src = zarr.zeros(
+        (2000, 20000), chunks=(1000, 1000), dtype="uint8", store=LocalStore(str(tmpdir))
+    )
+    src[:] = 1
+    for _i in range(10):
+        start_time = time.time()
+        c = zarr.array(src, store=MemoryStore())
+        end_time = time.time()
+        print(f"Time fast: {end_time - start_time} seconds")
 
+        start_time = time.time()
+        b = zarr.zeros(src.shape, chunks=src.chunks, store=MemoryStore())
+        b[:] = src[:]
+        end_time = time.time()
+        print(f"Time slow: {end_time - start_time} seconds")
 
-async def test_scalar_array() -> None:
-    arr = zarr.array(1.5)
-    assert arr[...] == 1.5
-    assert arr[()] == 1.5
-    assert arr.shape == ()
+    assert b[123, 123] == 1
+    assert c[123, 123] == 1