More consistency checks

xarray/core/coordinates.py

@@ -193,7 +193,7 @@ def _update_coords(self, coords):
 
         self._data._variables = variables
         self._data._coord_names.update(new_coord_names)
-        self._data._dims = dict(dims)
+        self._data._dims = dims
         self._data._indexes = None
 
     def __delitem__(self, key):

xarray/core/dataarray.py

@@ -2,6 +2,7 @@
 import sys
 import warnings
 from collections import OrderedDict
+from typing import Any
 
 import numpy as np
 import pandas as pd
@@ -67,7 +68,7 @@ def _infer_coords_and_dims(shape, coords, dims):
         for dim, coord in zip(dims, coords):
             var = as_variable(coord, name=dim)
             var.dims = (dim,)
-            new_coords[dim] = var
+            new_coords[dim] = var.to_index_variable()
 
     sizes = dict(zip(dims, shape))
     for k, v in new_coords.items():
@@ -1442,7 +1443,7 @@ def transpose(self, *dims, transpose_coords=None) -> 'DataArray':
 
         variable = self.variable.transpose(*dims)
         if transpose_coords:
-            coords = {}
+            coords = OrderedDict()  # type: OrderedDict[Any, Variable]
             for name, coord in self.coords.items():
                 coord_dims = tuple(dim for dim in dims if dim in coord.dims)
                 coords[name] = coord.variable.transpose(*coord_dims)

xarray/core/dataset.py

@@ -100,7 +100,7 @@ def calculate_dimensions(variables):
     Returns dictionary mapping from dimension names to sizes. Raises ValueError
     if any of the dimension sizes conflict.
     """
-    dims = OrderedDict()
+    dims = {}
     last_used = {}
     scalar_vars = set(k for k, v in variables.items() if not v.dims)
     for k, var in variables.items():
@@ -692,7 +692,7 @@ def _construct_direct(cls, variables, coord_names, dims, attrs=None,
 
     @classmethod
     def _from_vars_and_coord_names(cls, variables, coord_names, attrs=None):
-        dims = dict(calculate_dimensions(variables))
+        dims = calculate_dimensions(variables)
         return cls._construct_direct(variables, coord_names, dims, attrs)
 
     # TODO(shoyer): renable type checking on this signature when pytype has a
@@ -753,18 +753,20 @@ def _replace_with_new_dims(  # type: ignore
         coord_names: set = None,
         attrs: 'Optional[OrderedDict]' = __default,
         indexes: 'Optional[OrderedDict[Any, pd.Index]]' = __default,
+        encoding: Optional[dict] = __default,
         inplace: bool = False,
     ) -> T:
         """Replace variables with recalculated dimensions."""
-        dims = dict(calculate_dimensions(variables))
+        dims = calculate_dimensions(variables)
         return self._replace(
-            variables, coord_names, dims, attrs, indexes, inplace=inplace)
+            variables, coord_names, dims, attrs, indexes, encoding,
+            inplace=inplace)
 
     def _replace_vars_and_dims(  # type: ignore
         self: T,
         variables: 'OrderedDict[Any, Variable]' = None,
         coord_names: set = None,
-        dims: 'OrderedDict[Any, int]' = None,
+        dims: Dict[Any, int] = None,
         attrs: 'Optional[OrderedDict]' = __default,
         inplace: bool = False,
     ) -> T:
@@ -1080,6 +1082,7 @@ def __delitem__(self, key):
         """
         del self._variables[key]
         self._coord_names.discard(key)
+        self._dims = calculate_dimensions(self._variables)
 
     # mutable objects should not be hashable
     # https://github.com/python/mypy/issues/4266
@@ -2469,7 +2472,7 @@ def expand_dims(self, dim=None, axis=None, **dim_kwargs):
             else:
                 # If dims includes a label of a non-dimension coordinate,
                 # it will be promoted to a 1D coordinate with a single value.
-                variables[k] = v.set_dims(k)
+                variables[k] = v.set_dims(k).to_index_variable()
 
         new_dims = self._dims.copy()
         new_dims.update(dim)
@@ -3556,12 +3559,15 @@ def from_dict(cls, d):
     def _unary_op(f, keep_attrs=False):
         @functools.wraps(f)
         def func(self, *args, **kwargs):
-            ds = self.coords.to_dataset()
-            for k in self.data_vars:
-                ds._variables[k] = f(self._variables[k], *args, **kwargs)
-            if keep_attrs:
-                ds._attrs = self._attrs
-            return ds
+            variables = OrderedDict()
+            for k, v in self._variables.items():
+                if k in self._coord_names:
+                    variables[k] = v
+                else:
+                    variables[k] = f(v, *args, **kwargs)
+            attrs = self._attrs if keep_attrs else None
+            return self._replace_with_new_dims(
+                variables, attrs=attrs, encoding=None)
 
         return func
 

xarray/core/merge.py

@@ -473,7 +473,7 @@ def merge_core(objs,
                          'coordinates or not in the merged result: %s'
                          % ambiguous_coords)
 
-    return variables, coord_names, dict(dims)
+    return variables, coord_names, dims
 
 
 def merge(objects, compat='no_conflicts', join='outer', fill_value=dtypes.NA):

xarray/testing.py

@@ -1,10 +1,15 @@
 """Testing functions exposed to the user API"""
 from collections import OrderedDict
+from typing import Hashable, Union
 
 import numpy as np
 import pandas as pd
 
-from xarray.core import duck_array_ops, formatting
+from xarray.core import duck_array_ops
+from xarray.core import formatting
+from xarray.core.dataarray import DataArray
+from xarray.core.dataset import Dataset
+from xarray.core.variable import IndexVariable, Variable
 from xarray.core.indexes import default_indexes
 
 
@@ -48,12 +53,11 @@ def assert_equal(a, b):
     assert_identical, assert_allclose, Dataset.equals, DataArray.equals,
     numpy.testing.assert_array_equal
     """
-    import xarray as xr
     __tracebackhide__ = True  # noqa: F841
     assert type(a) == type(b)  # noqa
-    if isinstance(a, (xr.Variable, xr.DataArray)):
+    if isinstance(a, (Variable, DataArray)):
         assert a.equals(b), formatting.diff_array_repr(a, b, 'equals')
-    elif isinstance(a, xr.Dataset):
+    elif isinstance(a, Dataset):
         assert a.equals(b), formatting.diff_dataset_repr(a, b, 'equals')
     else:
         raise TypeError('{} not supported by assertion comparison'
@@ -77,15 +81,14 @@ def assert_identical(a, b):
     --------
     assert_equal, assert_allclose, Dataset.equals, DataArray.equals
     """
-    import xarray as xr
     __tracebackhide__ = True  # noqa: F841
     assert type(a) == type(b)  # noqa
-    if isinstance(a, xr.Variable):
+    if isinstance(a, Variable):
         assert a.identical(b), formatting.diff_array_repr(a, b, 'identical')
-    elif isinstance(a, xr.DataArray):
+    elif isinstance(a, DataArray):
         assert a.name == b.name
         assert a.identical(b), formatting.diff_array_repr(a, b, 'identical')
-    elif isinstance(a, (xr.Dataset, xr.Variable)):
+    elif isinstance(a, (Dataset, Variable)):
         assert a.identical(b), formatting.diff_dataset_repr(a, b, 'identical')
     else:
         raise TypeError('{} not supported by assertion comparison'
@@ -117,15 +120,14 @@ def assert_allclose(a, b, rtol=1e-05, atol=1e-08, decode_bytes=True):
     --------
     assert_identical, assert_equal, numpy.testing.assert_allclose
     """
-    import xarray as xr
     __tracebackhide__ = True  # noqa: F841
     assert type(a) == type(b)  # noqa
     kwargs = dict(rtol=rtol, atol=atol, decode_bytes=decode_bytes)
-    if isinstance(a, xr.Variable):
+    if isinstance(a, Variable):
         assert a.dims == b.dims
         allclose = _data_allclose_or_equiv(a.values, b.values, **kwargs)
         assert allclose, '{}\n{}'.format(a.values, b.values)
-    elif isinstance(a, xr.DataArray):
+    elif isinstance(a, DataArray):
         assert_allclose(a.variable, b.variable, **kwargs)
         assert set(a.coords) == set(b.coords)
         for v in a.coords.variables:
@@ -135,7 +137,7 @@ def assert_allclose(a, b, rtol=1e-05, atol=1e-08, decode_bytes=True):
                                                b.coords[v].values, **kwargs)
             assert allclose, '{}\n{}'.format(a.coords[v].values,
                                              b.coords[v].values)
-    elif isinstance(a, xr.Dataset):
+    elif isinstance(a, Dataset):
         assert set(a.data_vars) == set(b.data_vars)
         assert set(a.coords) == set(b.coords)
         for k in list(a.variables) + list(a.coords):
@@ -147,14 +149,12 @@ def assert_allclose(a, b, rtol=1e-05, atol=1e-08, decode_bytes=True):
 
 
 def _assert_indexes_invariants_checks(indexes, possible_coord_variables, dims):
-    import xarray as xr
-
     assert isinstance(indexes, OrderedDict), indexes
     assert all(isinstance(v, pd.Index) for v in indexes.values()), \
         {k: type(v) for k, v in indexes.items()}
 
     index_vars = {k for k, v in possible_coord_variables.items()
-                  if isinstance(v, xr.IndexVariable)}
+                  if isinstance(v, IndexVariable)}
     assert indexes.keys() <= index_vars, (set(indexes), index_vars)
 
     # Note: when we support non-default indexes, these checks should be opt-in
@@ -166,17 +166,97 @@ def _assert_indexes_invariants_checks(indexes, possible_coord_variables, dims):
         (indexes, defaults)
 
 
-def _assert_indexes_invariants(a):
-    """Separate helper function for checking indexes invariants only."""
-    import xarray as xr
-
-    if isinstance(a, xr.DataArray):
-        if a._indexes is not None:
-            _assert_indexes_invariants_checks(a._indexes, a._coords, a.dims)
-    elif isinstance(a, xr.Dataset):
-        if a._indexes is not None:
-            _assert_indexes_invariants_checks(
-                a._indexes, a._variables, a._dims)
-    elif isinstance(a, xr.Variable):
-        # no indexes
-        pass
+def _assert_variable_invariants(var: Variable, name: Hashable = None):
+    if name is None:
+        name_or_empty = ()  # type: tuple
+    else:
+        name_or_empty = (name,)
+    assert isinstance(var._dims, tuple), name_or_empty + (var._dims,)
+    assert len(var._dims) == len(var._data.shape), \
+        name_or_empty + (var._dims, var._data.shape)
+    assert isinstance(var._encoding, (type(None), dict)), \
+        name_or_empty + (var._encoding,)
+    assert isinstance(var._attrs, (type(None), OrderedDict)), \
+        name_or_empty + (var._attrs,)
+
+
+def _assert_dataarray_invariants(da: DataArray):
+    assert isinstance(da._variable, Variable), da._variable
+    _assert_variable_invariants(da._variable)
+
+    assert isinstance(da._coords, OrderedDict), da._coords
+    assert all(
+        isinstance(v, Variable) for v in da._coords.values()), da._coords
+    assert all(set(v.dims) <= set(da.dims) for v in da._coords.values()), \
+        (da.dims, {k: v.dims for k, v in da._coords.items()})
+    assert all(isinstance(v, IndexVariable)
+               for (k, v) in da._coords.items()
+               if v.dims == (k,)), \
+        {k: type(v) for k, v in da._coords.items()}
+    for k, v in da._coords.items():
+        _assert_variable_invariants(v, k)
+
+    if da._indexes is not None:
+        _assert_indexes_invariants_checks(da._indexes, da._coords, da.dims)
+
+    assert da._initialized is True
+
+
+def _assert_dataset_invariants(ds: Dataset):
+    assert isinstance(ds._variables, OrderedDict), type(ds._variables)
+    assert all(
+        isinstance(v, Variable) for v in ds._variables.values()), \
+        ds._variables
+    for k, v in ds._variables.items():
+        _assert_variable_invariants(v, k)
+
+    assert isinstance(ds._coord_names, set), ds._coord_names
+    assert ds._coord_names <= ds._variables.keys(), \
+        (ds._coord_names, set(ds._variables))
+
+    assert type(ds._dims) is dict, ds._dims
+    assert all(isinstance(v, int) for v in ds._dims.values()), ds._dims
+    var_dims = set()  # type: set
+    for v in ds._variables.values():
+        var_dims.update(v.dims)
+    assert ds._dims.keys() == var_dims, (set(ds._dims), var_dims)
+    assert all(ds._dims[k] == v.sizes[k]
+               for v in ds._variables.values()
+               for k in v.sizes), \
+        (ds._dims, {k: v.sizes for k, v in ds._variables.items()})
+    assert all(isinstance(v, IndexVariable)
+               for (k, v) in ds._variables.items()
+               if v.dims == (k,)), \
+        {k: type(v) for k, v in ds._variables.items() if v.dims == (k,)}
+    assert all(v.dims == (k,)
+               for (k, v) in ds._variables.items()
+               if k in ds._dims), \
+        {k: v.dims for k, v in ds._variables.items() if k in ds._dims}
+
+    if ds._indexes is not None:
+        _assert_indexes_invariants_checks(ds._indexes, ds._variables, ds._dims)
+
+    assert isinstance(ds._encoding, (type(None), dict))
+    assert isinstance(ds._attrs, (type(None), OrderedDict))
+    assert ds._initialized is True
+
+
+def _assert_internal_invariants(
+    xarray_obj: Union[DataArray, Dataset, Variable],
+):
+    """Validate that an xarray object satisfies its own internal invariants.
+
+    This exists for the benefit of xarray's own test suite, but may be useful
+    in external projects if they (ill-advisedly) create objects using xarray's
+    private APIs.
+    """
+    if isinstance(xarray_obj, Variable):
+        _assert_variable_invariants(xarray_obj)
+    elif isinstance(xarray_obj, DataArray):
+        _assert_dataarray_invariants(xarray_obj)
+    elif isinstance(xarray_obj, Dataset):
+        _assert_dataset_invariants(xarray_obj)
+    else:
+        raise TypeError(
+            '{} is not a supported type for xarray invariant checks'
+            .format(type(xarray_obj)))

xarray/tests/__init__.py

@@ -168,21 +168,20 @@ def source_ndarray(array):
 
 # Internal versions of xarray's test functions that validate additional
 # invariants
-# TODO: add more invariant checks.
 
 def assert_equal(a, b):
     xarray.testing.assert_equal(a, b)
-    xarray.testing._assert_indexes_invariants(a)
-    xarray.testing._assert_indexes_invariants(b)
+    xarray.testing._assert_internal_invariants(a)
+    xarray.testing._assert_internal_invariants(b)
 
 
 def assert_identical(a, b):
     xarray.testing.assert_identical(a, b)
-    xarray.testing._assert_indexes_invariants(a)
-    xarray.testing._assert_indexes_invariants(b)
+    xarray.testing._assert_internal_invariants(a)
+    xarray.testing._assert_internal_invariants(b)
 
 
 def assert_allclose(a, b, **kwargs):
     xarray.testing.assert_allclose(a, b, **kwargs)
-    xarray.testing._assert_indexes_invariants(a)
-    xarray.testing._assert_indexes_invariants(b)
+    xarray.testing._assert_internal_invariants(a)
+    xarray.testing._assert_internal_invariants(b)

xarray/tests/test_dataset.py

@@ -2752,6 +2752,11 @@ def test_delitem(self):
         assert set(data.variables) == all_items - set(['var1', 'numbers'])
         assert 'numbers' not in data.coords
 
+        expected = Dataset()
+        actual = Dataset({'y': ('x', [1, 2])})
+        del actual['y']
+        assert_identical(expected, actual)
+
     def test_squeeze(self):
         data = Dataset({'foo': (['x', 'y', 'z'], [[[1], [2]]])})
         for args in [[], [['x']], [['x', 'z']]]: