xarray/core/variable.py
def assert_unique_multiindex_level_names(variables):
    """Check for uniqueness of MultiIndex level names in all given
    variables.

    Not public API. Used for checking consistency of DataArray and Dataset
    objects.
    """
    level_names = defaultdict(list)
    all_level_names = set()
    for var_name, var in variables.items():
        if isinstance(var._data, PandasIndexAdapter):
            idx_level_names = var.to_index_variable().level_names
            if idx_level_names is not None:
                for n in idx_level_names:
                    level_names[n].append(f"{n!r} ({var_name})")
            if idx_level_names:
                all_level_names.update(idx_level_names)

    for k, v in level_names.items():
        if k in variables:
            v.append("(%s)" % k)

    duplicate_names = [v for v in level_names.values() if len(v) > 1]
    if duplicate_names:
        conflict_str = "\n".join(", ".join(v) for v in duplicate_names)
        raise ValueError("conflicting MultiIndex level name(s):\n%s" % conflict_str)
    # Check confliction between level names and dimensions GH:2299
    for k, v in variables.items():
        for d in v.dims:
            if d in all_level_names:
                raise ValueError(
                    "conflicting level / dimension names. {} "
                    "already exists as a level name.".format(d)
                )
Check for uniqueness of MultiIndex level names in all given
    variables.

    Not public API. Used for checking consistency of DataArray and Dataset
    objects.
    
Check for uniqueness of MultiIndex level names in all given
variables.

Not public API. Used for checking consistency of DataArray and Dataset
objects.
Check for uniqueness of MultiIndex level names in all given variables . Not public API . Used for checking consistency of DataArray and Dataset objects .
def assert_unique_multiindex_level_names(variables):
    level_names = defaultdict(list)
    all_level_names = set()
    for var_name, var in variables.items():
        if isinstance(var._data, PandasIndexAdapter):
            idx_level_names = var.to_index_variable().level_names
            if idx_level_names is not None:
                for n in idx_level_names:
                    level_names[n].append(f"{n!r} ({var_name})")
            if idx_level_names:
                all_level_names.update(idx_level_names)
    for k, v in level_names.items():
        if k in variables:
            v.append("(%s)" % k)
    duplicate_names = [v for v in level_names.values() if len(v) > 1]
    if duplicate_names:
        conflict_str = "\n".join(", ".join(v) for v in duplicate_names)
        raise ValueError("conflicting MultiIndex level name(s):\n%s" % conflict_str)
    for k, v in variables.items():
        for d in v.dims:
            if d in all_level_names:
                raise ValueError(
                    "conflicting level / dimension names. {} "
                    "already exists as a level name.".format(d)
                )
def assert_unique_multiindex_level_names ( variables ) : level_names = defaultdict ( list ) all_level_names = set ( ) for var_name , var in variables . items ( ) : if isinstance ( var . _data , PandasIndexAdapter ) : idx_level_names = var . to_index_variable ( ) . level_names if idx_level_names is not None : for n in idx_level_names : level_names [ n ] . append ( f"{n!r} ({var_name})" ) if idx_level_names : all_level_names . update ( idx_level_names ) for k , v in level_names . items ( ) : if k in variables : v . append ( "(%s)" % k ) duplicate_names = [ v for v in level_names . values ( ) if len ( v ) > 1 ] if duplicate_names : conflict_str = "\n" . join ( ", " . join ( v ) for v in duplicate_names ) raise ValueError ( "conflicting MultiIndex level name(s):\n%s" % conflict_str ) for k , v in variables . items ( ) : for d in v . dims : if d in all_level_names : raise ValueError ( "conflicting level / dimension names. {} " "already exists as a level name." . format ( d ) )
Check for uniqueness of MultiIndex level names in all given
variables.
Check for uniqueness of MultiIndex level names in all given variables .
"""Check for uniqueness of MultiIndex level names in all given
    variables.

    Not public API. Used for checking consistency of DataArray and Dataset
    objects.
    """ # Check confliction between level names and dimensions GH:2299
variables