# Django 3.2.12 documentation

# Source code for django.db.models.query

    """
    The main QuerySet implementation. This provides the public API for the ORM.
    """

    import copy
    import operator
    import warnings
    from itertools import chain

    import django
    from django.conf import settings
    from django.core import exceptions
    from django.db import (
        DJANGO_VERSION_PICKLE_KEY, IntegrityError, NotSupportedError, connections,
        router, transaction,
    )
    from django.db.models import AutoField, DateField, DateTimeField, sql
    from django.db.models.constants import LOOKUP_SEP
    from django.db.models.deletion import Collector
    from django.db.models.expressions import Case, Expression, F, Ref, Value, When
    from django.db.models.functions import Cast, Trunc
    from django.db.models.query_utils import FilteredRelation, Q
    from django.db.models.sql.constants import CURSOR, GET_ITERATOR_CHUNK_SIZE
    from django.db.models.utils import create_namedtuple_class, resolve_callables
    from django.utils import timezone
    from django.utils.functional import cached_property, partition

    # The maximum number of results to fetch in a get() query.
    MAX_GET_RESULTS = 21

    # The maximum number of items to display in a QuerySet.__repr__
    REPR_OUTPUT_SIZE = 20

    PROHIBITED_FILTER_KWARGS = frozenset(["_connector", "_negated"])

    class BaseIterable:
        def __init__(self, queryset, chunked_fetch=False, chunk_size=GET_ITERATOR_CHUNK_SIZE):
            self.queryset = queryset
            self.chunked_fetch = chunked_fetch
            self.chunk_size = chunk_size

    class ModelIterable(BaseIterable):
        """Iterable that yields a model instance for each row."""

        def __iter__(self):
            queryset = self.queryset
            db = queryset.db
            compiler = queryset.query.get_compiler(using=db)
            # Execute the query. This will also fill compiler.select, klass_info,
            # and annotations.
            results = compiler.execute_sql(chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size)
            select, klass_info, annotation_col_map = (compiler.select, compiler.klass_info,
                                                      compiler.annotation_col_map)
            model_cls = klass_info['model']
            select_fields = klass_info['select_fields']
            model_fields_start, model_fields_end = select_fields[0], select_fields[-1] + 1
            init_list = [f[0].target.attname
                         for f in select[model_fields_start:model_fields_end]]
            related_populators = get_related_populators(klass_info, select, db)
            known_related_objects = [
                (field, related_objs, operator.attrgetter(*[
                    field.attname
                    if from_field == 'self' else
                    queryset.model._meta.get_field(from_field).attname
                    for from_field in field.from_fields
                ])) for field, related_objs in queryset._known_related_objects.items()
            ]
            for row in compiler.results_iter(results):
                obj = model_cls.from_db(db, init_list, row[model_fields_start:model_fields_end])
                for rel_populator in related_populators:
                    rel_populator.populate(row, obj)
                if annotation_col_map:
                    for attr_name, col_pos in annotation_col_map.items():
                        setattr(obj, attr_name, row[col_pos])

                # Add the known related objects to the model.
                for field, rel_objs, rel_getter in known_related_objects:
                    # Avoid overwriting objects loaded by, e.g., select_related().
                    if field.is_cached(obj):
                        continue
                    rel_obj_id = rel_getter(obj)
                    try:
                        rel_obj = rel_objs[rel_obj_id]
                    except KeyError:
                        pass  # May happen in qs1 | qs2 scenarios.
                    else:
                        setattr(obj, field.name, rel_obj)

                yield obj

    class ValuesIterable(BaseIterable):
        """
        Iterable returned by QuerySet.values() that yields a dict for each row.
        """

        def __iter__(self):
            queryset = self.queryset
            query = queryset.query
            compiler = query.get_compiler(queryset.db)

            # extra(select=...) cols are always at the start of the row.
            names = [
                *query.extra_select,
                *query.values_select,
                *query.annotation_select,
            ]
            indexes = range(len(names))
            for row in compiler.results_iter(chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size):
                yield {names[i]: row[i] for i in indexes}

    class ValuesListIterable(BaseIterable):
        """
        Iterable returned by QuerySet.values_list(flat=False) that yields a tuple
        for each row.
        """

        def __iter__(self):
            queryset = self.queryset
            query = queryset.query
            compiler = query.get_compiler(queryset.db)

            if queryset._fields:
                # extra(select=...) cols are always at the start of the row.
                names = [
                    *query.extra_select,
                    *query.values_select,
                    *query.annotation_select,
                ]
                fields = [*queryset._fields, *(f for f in query.annotation_select if f not in queryset._fields)]
                if fields != names:
                    # Reorder according to fields.
                    index_map = {name: idx for idx, name in enumerate(names)}
                    rowfactory = operator.itemgetter(*[index_map[f] for f in fields])
                    return map(
                        rowfactory,
                        compiler.results_iter(chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size)
                    )
            return compiler.results_iter(tuple_expected=True, chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size)

    class NamedValuesListIterable(ValuesListIterable):
        """
        Iterable returned by QuerySet.values_list(named=True) that yields a
        namedtuple for each row.
        """

        def __iter__(self):
            queryset = self.queryset
            if queryset._fields:
                names = queryset._fields
            else:
                query = queryset.query
                names = [*query.extra_select, *query.values_select, *query.annotation_select]
            tuple_class = create_namedtuple_class(*names)
            new = tuple.__new__
            for row in super().__iter__():
                yield new(tuple_class, row)

    class FlatValuesListIterable(BaseIterable):
        """
        Iterable returned by QuerySet.values_list(flat=True) that yields single
        values.
        """

        def __iter__(self):
            queryset = self.queryset
            compiler = queryset.query.get_compiler(queryset.db)
            for row in compiler.results_iter(chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size):
                yield row[0]

    class QuerySet:
        """Represent a lazy database lookup for a set of objects."""

        def __init__(self, model=None, query=None, using=None, hints=None):
            self.model = model
            self._db = using
            self._hints = hints or {}
            self._query = query or sql.Query(self.model)
            self._result_cache = None
            self._sticky_filter = False
            self._for_write = False
            self._prefetch_related_lookups = ()
            self._prefetch_done = False
            self._known_related_objects = {}  # {rel_field: {pk: rel_obj}}
            self._iterable_class = ModelIterable
            self._fields = None
            self._defer_next_filter = False
            self._deferred_filter = None

        @property
        def query(self):
            if self._deferred_filter:
                negate, args, kwargs = self._deferred_filter
                self._filter_or_exclude_inplace(negate, args, kwargs)
                self._deferred_filter = None
            return self._query

        @query.setter
        def query(self, value):
            if value.values_select:
                self._iterable_class = ValuesIterable
            self._query = value

        def as_manager(cls):
            # Address the circular dependency between `Queryset` and `Manager`.
            from django.db.models.manager import Manager
            manager = Manager.from_queryset(cls)()
            manager._built_with_as_manager = True
            return manager
        as_manager.queryset_only = True
        as_manager = classmethod(as_manager)

        ########################
        # PYTHON MAGIC METHODS #
        ########################

        def __deepcopy__(self, memo):
            """Don't populate the QuerySet's cache."""
            obj = self.__class__()
            for k, v in self.__dict__.items():
                if k == '_result_cache':
                    obj.__dict__[k] = None
                else:
                    obj.__dict__[k] = copy.deepcopy(v, memo)
            return obj

        def __getstate__(self):
            # Force the cache to be fully populated.
            self._fetch_all()
            return {**self.__dict__, DJANGO_VERSION_PICKLE_KEY: django.__version__}

        def __setstate__(self, state):
            pickled_version = state.get(DJANGO_VERSION_PICKLE_KEY)
            if pickled_version:
                if pickled_version != django.__version__:
                    warnings.warn(
                        "Pickled queryset instance's Django version %s does not "
                        "match the current version %s."
                        % (pickled_version, django.__version__),
                        RuntimeWarning,
                        stacklevel=2,
                    )
            else:
                warnings.warn(
                    "Pickled queryset instance's Django version is not specified.",
                    RuntimeWarning,
                    stacklevel=2,
                )
            self.__dict__.update(state)

        def __repr__(self):
            data = list(self[:REPR_OUTPUT_SIZE + 1])
            if len(data) > REPR_OUTPUT_SIZE:
                data[-1] = "...(remaining elements truncated)..."
            return '<%s %r>' % (self.__class__.__name__, data)

        def __len__(self):
            self._fetch_all()
            return len(self._result_cache)

        def __iter__(self):
            """
            The queryset iterator protocol uses three nested iterators in the
            default case:
                1. sql.compiler.execute_sql()
                   - Returns 100 rows at time (constants.GET_ITERATOR_CHUNK_SIZE)
                     using cursor.fetchmany(). This part is responsible for
                     doing some column masking, and returning the rows in chunks.
                2. sql.compiler.results_iter()
                   - Returns one row at time. At this point the rows are still just
                     tuples. In some cases the return values are converted to
                     Python values at this location.
                3. self.iterator()
                   - Responsible for turning the rows into model objects.
            """
            self._fetch_all()
            return iter(self._result_cache)

        def __bool__(self):
            self._fetch_all()
            return bool(self._result_cache)

        def __getitem__(self, k):
            """Retrieve an item or slice from the set of results."""
            if not isinstance(k, (int, slice)):
                raise TypeError(
                    'QuerySet indices must be integers or slices, not %s.'
                    % type(k).__name__
                )
            assert ((not isinstance(k, slice) and (k >= 0)) or
                    (isinstance(k, slice) and (k.start is None or k.start >= 0) and
                     (k.stop is None or k.stop >= 0))), \
                "Negative indexing is not supported."

            if self._result_cache is not None:
                return self._result_cache[k]

            if isinstance(k, slice):
                qs = self._chain()
                if k.start is not None:
                    start = int(k.start)
                else:
                    start = None
                if k.stop is not None:
                    stop = int(k.stop)
                else:
                    stop = None
                qs.query.set_limits(start, stop)
                return list(qs)[::k.step] if k.step else qs

            qs = self._chain()
            qs.query.set_limits(k, k + 1)
            qs._fetch_all()
            return qs._result_cache[0]

        def __class_getitem__(cls, *args, **kwargs):
            return cls

        def __and__(self, other):
            self._merge_sanity_check(other)
            if isinstance(other, EmptyQuerySet):
                return other
            if isinstance(self, EmptyQuerySet):
                return self
            combined = self._chain()
            combined._merge_known_related_objects(other)
            combined.query.combine(other.query, sql.AND)
            return combined

        def __or__(self, other):
            self._merge_sanity_check(other)
            if isinstance(self, EmptyQuerySet):
                return other
            if isinstance(other, EmptyQuerySet):
                return self
            query = self if self.query.can_filter() else self.model._base_manager.filter(pk__in=self.values('pk'))
            combined = query._chain()
            combined._merge_known_related_objects(other)
            if not other.query.can_filter():
                other = other.model._base_manager.filter(pk__in=other.values('pk'))
            combined.query.combine(other.query, sql.OR)
            return combined

        ####################################
        # METHODS THAT DO DATABASE QUERIES #
        ####################################

        def _iterator(self, use_chunked_fetch, chunk_size):
            yield from self._iterable_class(self, chunked_fetch=use_chunked_fetch, chunk_size=chunk_size)

        def iterator(self, chunk_size=2000):
            """
            An iterator over the results from applying this QuerySet to the
            database.
            """
            if chunk_size <= 0:
                raise ValueError('Chunk size must be strictly positive.')
            use_chunked_fetch = not connections[self.db].settings_dict.get('DISABLE_SERVER_SIDE_CURSORS')
            return self._iterator(use_chunked_fetch, chunk_size)

        def aggregate(self, *args, **kwargs):
            """
            Return a dictionary containing the calculations (aggregation)
            over the current queryset.

            If args is present the expression is passed as a kwarg using
            the Aggregate object's default alias.
            """
            if self.query.distinct_fields:
                raise NotImplementedError("aggregate() + distinct(fields) not implemented.")
            self._validate_values_are_expressions((*args, *kwargs.values()), method_name='aggregate')
            for arg in args:
                # The default_alias property raises TypeError if default_alias
                # can't be set automatically or AttributeError if it isn't an
                # attribute.
                try:
                    arg.default_alias
                except (AttributeError, TypeError):
                    raise TypeError("Complex aggregates require an alias")
                kwargs[arg.default_alias] = arg

            query = self.query.chain()
            for (alias, aggregate_expr) in kwargs.items():
                query.add_annotation(aggregate_expr, alias, is_summary=True)
                annotation = query.annotations[alias]
                if not annotation.contains_aggregate:
                    raise TypeError("%s is not an aggregate expression" % alias)
                for expr in annotation.get_source_expressions():
                    if expr.contains_aggregate and isinstance(expr, Ref) and expr.refs in kwargs:
                        name = expr.refs
                        raise exceptions.FieldError(
                            "Cannot compute %s('%s'): '%s' is an aggregate"
                            % (annotation.name, name, name)
                        )
            return query.get_aggregation(self.db, kwargs)

        def count(self):
            """
            Perform a SELECT COUNT() and return the number of records as an
            integer.

            If the QuerySet is already fully cached, return the length of the
            cached results set to avoid multiple SELECT COUNT(*) calls.
            """
            if self._result_cache is not None:
                return len(self._result_cache)

            return self.query.get_count(using=self.db)

        def get(self, *args, **kwargs):
            """
            Perform the query and return a single object matching the given
            keyword arguments.
            """
            if self.query.combinator and (args or kwargs):
                raise NotSupportedError(
                    'Calling QuerySet.get(...) with filters after %s() is not '
                    'supported.' % self.query.combinator
                )
            clone = self._chain() if self.query.combinator else self.filter(*args, **kwargs)
            if self.query.can_filter() and not self.query.distinct_fields:
                clone = clone.order_by()
            limit = None
            if not clone.query.select_for_update or connections[clone.db].features.supports_select_for_update_with_limit:
                limit = MAX_GET_RESULTS
                clone.query.set_limits(high=limit)
            num = len(clone)
            if num == 1:
                return clone._result_cache[0]
            if not num:
                raise self.model.DoesNotExist(
                    "%s matching query does not exist." %
                    self.model._meta.object_name
                )
            raise self.model.MultipleObjectsReturned(
                'get() returned more than one %s -- it returned %s!' % (
                    self.model._meta.object_name,
                    num if not limit or num < limit else 'more than %s' % (limit - 1),
                )
            )

        def create(self, **kwargs):
            """
            Create a new object with the given kwargs, saving it to the database
            and returning the created object.
            """
            obj = self.model(**kwargs)
            self._for_write = True
            obj.save(force_insert=True, using=self.db)
            return obj

        def _prepare_for_bulk_create(self, objs):
            for obj in objs:
                if obj.pk is None:
                    # Populate new PK values.
                    obj.pk = obj._meta.pk.get_pk_value_on_save(obj)
                obj._prepare_related_fields_for_save(operation_name='bulk_create')

        def bulk_create(self, objs, batch_size=None, ignore_conflicts=False):
            """
            Insert each of the instances into the database. Do *not* call
            save() on each of the instances, do not send any pre/post_save
            signals, and do not set the primary key attribute if it is an
            autoincrement field (except if features.can_return_rows_from_bulk_insert=True).
            Multi-table models are not supported.
            """
            # When you bulk insert you don't get the primary keys back (if it's an
            # autoincrement, except if can_return_rows_from_bulk_insert=True), so
            # you can't insert into the child tables which references this. There
            # are two workarounds:
            # 1) This could be implemented if you didn't have an autoincrement pk
            # 2) You could do it by doing O(n) normal inserts into the parent
            #    tables to get the primary keys back and then doing a single bulk
            #    insert into the childmost table.
            # We currently set the primary keys on the objects when using
            # PostgreSQL via the RETURNING ID clause. It should be possible for
            # Oracle as well, but the semantics for extracting the primary keys is
            # trickier so it's not done yet.
            assert batch_size is None or batch_size > 0
            # Check that the parents share the same concrete model with the our
            # model to detect the inheritance pattern ConcreteGrandParent ->
            # MultiTableParent -> ProxyChild. Simply checking self.model._meta.proxy
            # would not identify that case as involving multiple tables.
            for parent in self.model._meta.get_parent_list():
                if parent._meta.concrete_model is not self.model._meta.concrete_model:
                    raise ValueError("Can't bulk create a multi-table inherited model")
            if not objs:
                return objs
            self._for_write = True
            connection = connections[self.db]
            opts = self.model._meta
            fields = opts.concrete_fields
            objs = list(objs)
            self._prepare_for_bulk_create(objs)
            with transaction.atomic(using=self.db, savepoint=False):
                objs_with_pk, objs_without_pk = partition(lambda o: o.pk is None, objs)
                if objs_with_pk:
                    returned_columns = self._batched_insert(
                        objs_with_pk, fields, batch_size, ignore_conflicts=ignore_conflicts,
                    )
                    for obj_with_pk, results in zip(objs_with_pk, returned_columns):
                        for result, field in zip(results, opts.db_returning_fields):
                            if field != opts.pk:
                                setattr(obj_with_pk, field.attname, result)
                    for obj_with_pk in objs_with_pk:
                        obj_with_pk._state.adding = False
                        obj_with_pk._state.db = self.db
                if objs_without_pk:
                    fields = [f for f in fields if not isinstance(f, AutoField)]
                    returned_columns = self._batched_insert(
                        objs_without_pk, fields, batch_size, ignore_conflicts=ignore_conflicts,
                    )
                    if connection.features.can_return_rows_from_bulk_insert and not ignore_conflicts:
                        assert len(returned_columns) == len(objs_without_pk)
                    for obj_without_pk, results in zip(objs_without_pk, returned_columns):
                        for result, field in zip(results, opts.db_returning_fields):
                            setattr(obj_without_pk, field.attname, result)
                        obj_without_pk._state.adding = False
                        obj_without_pk._state.db = self.db

            return objs

        def bulk_update(self, objs, fields, batch_size=None):
            """
            Update the given fields in each of the given objects in the database.
            """
            if batch_size is not None and batch_size < 0:
                raise ValueError('Batch size must be a positive integer.')
            if not fields:
                raise ValueError('Field names must be given to bulk_update().')
            objs = tuple(objs)
            if any(obj.pk is None for obj in objs):
                raise ValueError('All bulk_update() objects must have a primary key set.')
            fields = [self.model._meta.get_field(name) for name in fields]
            if any(not f.concrete or f.many_to_many for f in fields):
                raise ValueError('bulk_update() can only be used with concrete fields.')
            if any(f.primary_key for f in fields):
                raise ValueError('bulk_update() cannot be used with primary key fields.')
            if not objs:
                return
            # PK is used twice in the resulting update query, once in the filter
            # and once in the WHEN. Each field will also have one CAST.
            max_batch_size = connections[self.db].ops.bulk_batch_size(['pk', 'pk'] + fields, objs)
            batch_size = min(batch_size, max_batch_size) if batch_size else max_batch_size
            requires_casting = connections[self.db].features.requires_casted_case_in_updates
            batches = (objs[i:i + batch_size] for i in range(0, len(objs), batch_size))
            updates = []
            for batch_objs in batches:
                update_kwargs = {}
                for field in fields:
                    when_statements = []
                    for obj in batch_objs:
                        attr = getattr(obj, field.attname)
                        if not isinstance(attr, Expression):
                            attr = Value(attr, output_field=field)
                        when_statements.append(When(pk=obj.pk, then=attr))
                    case_statement = Case(*when_statements, output_field=field)
                    if requires_casting:
                        case_statement = Cast(case_statement, output_field=field)
                    update_kwargs[field.attname] = case_statement
                updates.append(([obj.pk for obj in batch_objs], update_kwargs))
            with transaction.atomic(using=self.db, savepoint=False):
                for pks, update_kwargs in updates:
                    self.filter(pk__in=pks).update(**update_kwargs)
        bulk_update.alters_data = True

        def get_or_create(self, defaults=None, **kwargs):
            """
            Look up an object with the given kwargs, creating one if necessary.
            Return a tuple of (object, created), where created is a boolean
            specifying whether an object was created.
            """
            # The get() needs to be targeted at the write database in order
            # to avoid potential transaction consistency problems.
            self._for_write = True
            try:
                return self.get(**kwargs), False
            except self.model.DoesNotExist:
                params = self._extract_model_params(defaults, **kwargs)
                # Try to create an object using passed params.
                try:
                    with transaction.atomic(using=self.db):
                        params = dict(resolve_callables(params))
                        return self.create(**params), True
                except IntegrityError:
                    try:
                        return self.get(**kwargs), False
                    except self.model.DoesNotExist:
                        pass
                    raise

        def update_or_create(self, defaults=None, **kwargs):
            """
            Look up an object with the given kwargs, updating one with defaults
            if it exists, otherwise create a new one.
            Return a tuple (object, created), where created is a boolean
            specifying whether an object was created.
            """
            defaults = defaults or {}
            self._for_write = True
            with transaction.atomic(using=self.db):
                # Lock the row so that a concurrent update is blocked until
                # update_or_create() has performed its save.
                obj, created = self.select_for_update().get_or_create(defaults, **kwargs)
                if created:
                    return obj, created
                for k, v in resolve_callables(defaults):
                    setattr(obj, k, v)
                obj.save(using=self.db)
            return obj, False

        def _extract_model_params(self, defaults, **kwargs):
            """
            Prepare `params` for creating a model instance based on the given
            kwargs; for use by get_or_create().
            """
            defaults = defaults or {}
            params = {k: v for k, v in kwargs.items() if LOOKUP_SEP not in k}
            params.update(defaults)
            property_names = self.model._meta._property_names
            invalid_params = []
            for param in params:
                try:
                    self.model._meta.get_field(param)
                except exceptions.FieldDoesNotExist:
                    # It's okay to use a model's property if it has a setter.
                    if not (param in property_names and getattr(self.model, param).fset):
                        invalid_params.append(param)
            if invalid_params:
                raise exceptions.FieldError(
                    "Invalid field name(s) for model %s: '%s'." % (
                        self.model._meta.object_name,
                        "', '".join(sorted(invalid_params)),
                    ))
            return params

        def _earliest(self, *fields):
            """
            Return the earliest object according to fields (if given) or by the
            model's Meta.get_latest_by.
            """
            if fields:
                order_by = fields
            else:
                order_by = getattr(self.model._meta, 'get_latest_by')
                if order_by and not isinstance(order_by, (tuple, list)):
                    order_by = (order_by,)
            if order_by is None:
                raise ValueError(
                    "earliest() and latest() require either fields as positional "
                    "arguments or 'get_latest_by' in the model's Meta."
                )

            assert not self.query.is_sliced, \
                "Cannot change a query once a slice has been taken."
            obj = self._chain()
            obj.query.set_limits(high=1)
            obj.query.clear_ordering(force=True)
            obj.query.add_ordering(*order_by)
            return obj.get()

        def earliest(self, *fields):
            return self._earliest(*fields)

        def latest(self, *fields):
            return self.reverse()._earliest(*fields)

        def first(self):
            """Return the first object of a query or None if no match is found."""
            for obj in (self if self.ordered else self.order_by('pk'))[:1]:
                return obj

        def last(self):
            """Return the last object of a query or None if no match is found."""
            for obj in (self.reverse() if self.ordered else self.order_by('-pk'))[:1]:
                return obj

        def in_bulk(self, id_list=None, *, field_name='pk'):
            """
            Return a dictionary mapping each of the given IDs to the object with
            that ID. If `id_list` isn't provided, evaluate the entire QuerySet.
            """
            assert not self.query.is_sliced, \
                "Cannot use 'limit' or 'offset' with in_bulk"
            opts = self.model._meta
            unique_fields = [
                constraint.fields[0]
                for constraint in opts.total_unique_constraints
                if len(constraint.fields) == 1
            ]
            if (
                field_name != 'pk' and
                not opts.get_field(field_name).unique and
                field_name not in unique_fields and
                self.query.distinct_fields != (field_name,)
            ):
                raise ValueError("in_bulk()'s field_name must be a unique field but %r isn't." % field_name)
            if id_list is not None:
                if not id_list:
                    return {}
                filter_key = '{}__in'.format(field_name)
                batch_size = connections[self.db].features.max_query_params
                id_list = tuple(id_list)
                # If the database has a limit on the number of query parameters
                # (e.g. SQLite), retrieve objects in batches if necessary.
                if batch_size and batch_size < len(id_list):
                    qs = ()
                    for offset in range(0, len(id_list), batch_size):
                        batch = id_list[offset:offset + batch_size]
                        qs += tuple(self.filter(**{filter_key: batch}).order_by())
                else:
                    qs = self.filter(**{filter_key: id_list}).order_by()
            else:
                qs = self._chain()
            return {getattr(obj, field_name): obj for obj in qs}

        def delete(self):
            """Delete the records in the current QuerySet."""
            self._not_support_combined_queries('delete')
            assert not self.query.is_sliced, \
                "Cannot use 'limit' or 'offset' with delete."

            if self.query.distinct or self.query.distinct_fields:
                raise TypeError('Cannot call delete() after .distinct().')
            if self._fields is not None:
                raise TypeError("Cannot call delete() after .values() or .values_list()")

            del_query = self._chain()

            # The delete is actually 2 queries - one to find related objects,
            # and one to delete. Make sure that the discovery of related
            # objects is performed on the same database as the deletion.
            del_query._for_write = True

            # Disable non-supported fields.
            del_query.query.select_for_update = False
            del_query.query.select_related = False
            del_query.query.clear_ordering(force=True)

            collector = Collector(using=del_query.db)
            collector.collect(del_query)
            deleted, _rows_count = collector.delete()

            # Clear the result cache, in case this QuerySet gets reused.
            self._result_cache = None
            return deleted, _rows_count

        delete.alters_data = True
        delete.queryset_only = True

        def _raw_delete(self, using):
            """
            Delete objects found from the given queryset in single direct SQL
            query. No signals are sent and there is no protection for cascades.
            """
            query = self.query.clone()
            query.__class__ = sql.DeleteQuery
            cursor = query.get_compiler(using).execute_sql(CURSOR)
            if cursor:
                with cursor:
                    return cursor.rowcount
            return 0
        _raw_delete.alters_data = True

        def update(self, **kwargs):
            """
            Update all elements in the current QuerySet, setting all the given
            fields to the appropriate values.
            """
            self._not_support_combined_queries('update')
            assert not self.query.is_sliced, \
                "Cannot update a query once a slice has been taken."
            self._for_write = True
            query = self.query.chain(sql.UpdateQuery)
            query.add_update_values(kwargs)
            # Clear any annotations so that they won't be present in subqueries.
            query.annotations = {}
            with transaction.mark_for_rollback_on_error(using=self.db):
                rows = query.get_compiler(self.db).execute_sql(CURSOR)
            self._result_cache = None
            return rows
        update.alters_data = True

        def _update(self, values):
            """
            A version of update() that accepts field objects instead of field names.
            Used primarily for model saving and not intended for use by general
            code (it requires too much poking around at model internals to be
            useful at that level).
            """
            assert not self.query.is_sliced, \
                "Cannot update a query once a slice has been taken."
            query = self.query.chain(sql.UpdateQuery)
            query.add_update_fields(values)
            # Clear any annotations so that they won't be present in subqueries.
            query.annotations = {}
            self._result_cache = None
            return query.get_compiler(self.db).execute_sql(CURSOR)
        _update.alters_data = True
        _update.queryset_only = False

        def exists(self):
            if self._result_cache is None:
                return self.query.has_results(using=self.db)
            return bool(self._result_cache)

        def _prefetch_related_objects(self):
            # This method can only be called once the result cache has been filled.
            prefetch_related_objects(self._result_cache, *self._prefetch_related_lookups)
            self._prefetch_done = True

        def explain(self, *, format=None, **options):
            return self.query.explain(using=self.db, format=format, **options)

        ##################################################
        # PUBLIC METHODS THAT RETURN A QUERYSET SUBCLASS #
        ##################################################

        def raw(self, raw_query, params=(), translations=None, using=None):
            if using is None:
                using = self.db
            qs = RawQuerySet(raw_query, model=self.model, params=params, translations=translations, using=using)
            qs._prefetch_related_lookups = self._prefetch_related_lookups[:]
            return qs

        def _values(self, *fields, **expressions):
            clone = self._chain()
            if expressions:
                clone = clone.annotate(**expressions)
            clone._fields = fields
            clone.query.set_values(fields)
            return clone

        def values(self, *fields, **expressions):
            fields += tuple(expressions)
            clone = self._values(*fields, **expressions)
            clone._iterable_class = ValuesIterable
            return clone

        def values_list(self, *fields, flat=False, named=False):
            if flat and named:
                raise TypeError("'flat' and 'named' can't be used together.")
            if flat and len(fields) > 1:
                raise TypeError("'flat' is not valid when values_list is called with more than one field.")

            field_names = {f for f in fields if not hasattr(f, 'resolve_expression')}
            _fields = []
            expressions = {}
            counter = 1
            for field in fields:
                if hasattr(field, 'resolve_expression'):
                    field_id_prefix = getattr(field, 'default_alias', field.__class__.__name__.lower())
                    while True:
                        field_id = field_id_prefix + str(counter)
                        counter += 1
                        if field_id not in field_names:
                            break
                    expressions[field_id] = field
                    _fields.append(field_id)
                else:
                    _fields.append(field)

            clone = self._values(*_fields, **expressions)
            clone._iterable_class = (
                NamedValuesListIterable if named
                else FlatValuesListIterable if flat
                else ValuesListIterable
            )
            return clone

        def dates(self, field_name, kind, order='ASC'):
            """
            Return a list of date objects representing all available dates for
            the given field_name, scoped to 'kind'.
            """
            assert kind in ('year', 'month', 'week', 'day'), \
                "'kind' must be one of 'year', 'month', 'week', or 'day'."
            assert order in ('ASC', 'DESC'), \
                "'order' must be either 'ASC' or 'DESC'."
            return self.annotate(
                datefield=Trunc(field_name, kind, output_field=DateField()),
                plain_field=F(field_name)
            ).values_list(
                'datefield', flat=True
            ).distinct().filter(plain_field__isnull=False).order_by(('-' if order == 'DESC' else '') + 'datefield')

        def datetimes(self, field_name, kind, order='ASC', tzinfo=None, is_dst=None):
            """
            Return a list of datetime objects representing all available
            datetimes for the given field_name, scoped to 'kind'.
            """
            assert kind in ('year', 'month', 'week', 'day', 'hour', 'minute', 'second'), \
                "'kind' must be one of 'year', 'month', 'week', 'day', 'hour', 'minute', or 'second'."
            assert order in ('ASC', 'DESC'), \
                "'order' must be either 'ASC' or 'DESC'."
            if settings.USE_TZ:
                if tzinfo is None:
                    tzinfo = timezone.get_current_timezone()
            else:
                tzinfo = None
            return self.annotate(
                datetimefield=Trunc(
                    field_name,
                    kind,
                    output_field=DateTimeField(),
                    tzinfo=tzinfo,
                    is_dst=is_dst,
                ),
                plain_field=F(field_name)
            ).values_list(
                'datetimefield', flat=True
            ).distinct().filter(plain_field__isnull=False).order_by(('-' if order == 'DESC' else '') + 'datetimefield')

        def none(self):
            """Return an empty QuerySet."""
            clone = self._chain()
            clone.query.set_empty()
            return clone

        ##################################################################
        # PUBLIC METHODS THAT ALTER ATTRIBUTES AND RETURN A NEW QUERYSET #
        ##################################################################

        def all(self):
            """
            Return a new QuerySet that is a copy of the current one. This allows a
            QuerySet to proxy for a model manager in some cases.
            """
            return self._chain()

        def filter(self, *args, **kwargs):
            """
            Return a new QuerySet instance with the args ANDed to the existing
            set.
            """
            self._not_support_combined_queries('filter')
            return self._filter_or_exclude(False, args, kwargs)

        def exclude(self, *args, **kwargs):
            """
            Return a new QuerySet instance with NOT (args) ANDed to the existing
            set.
            """
            self._not_support_combined_queries('exclude')
            return self._filter_or_exclude(True, args, kwargs)

        def _filter_or_exclude(self, negate, args, kwargs):
            if args or kwargs:
                assert not self.query.is_sliced, \
                    "Cannot filter a query once a slice has been taken."

            clone = self._chain()
            if self._defer_next_filter:
                self._defer_next_filter = False
                clone._deferred_filter = negate, args, kwargs
            else:
                clone._filter_or_exclude_inplace(negate, args, kwargs)
            return clone

        def _filter_or_exclude_inplace(self, negate, args, kwargs):
            if invalid_kwargs := PROHIBITED_FILTER_KWARGS.intersection(kwargs):
                invalid_kwargs_str = ", ".join(f"'{k}'" for k in sorted(invalid_kwargs))
                raise TypeError(f"The following kwargs are invalid: {invalid_kwargs_str}")
            if negate:
                self._query.add_q(~Q(*args, **kwargs))
            else:
                self._query.add_q(Q(*args, **kwargs))

        def complex_filter(self, filter_obj):
            """
            Return a new QuerySet instance with filter_obj added to the filters.

            filter_obj can be a Q object or a dictionary of keyword lookup
            arguments.

            This exists to support framework features such as 'limit_choices_to',
            and usually it will be more natural to use other methods.
            """
            if isinstance(filter_obj, Q):
                clone = self._chain()
                clone.query.add_q(filter_obj)
                return clone
            else:
                return self._filter_or_exclude(False, args=(), kwargs=filter_obj)

        def _combinator_query(self, combinator, *other_qs, all=False):
            # Clone the query to inherit the select list and everything
            clone = self._chain()
            # Clear limits and ordering so they can be reapplied
            clone.query.clear_ordering(force=True)
            clone.query.clear_limits()
            clone.query.combined_queries = (self.query,) + tuple(qs.query for qs in other_qs)
            clone.query.combinator = combinator
            clone.query.combinator_all = all
            return clone

        def union(self, *other_qs, all=False):
            # If the query is an EmptyQuerySet, combine all nonempty querysets.
            if isinstance(self, EmptyQuerySet):
                qs = [q for q in other_qs if not isinstance(q, EmptyQuerySet)]
                if not qs:
                    return self
                if len(qs) == 1:
                    return qs[0]
                return qs[0]._combinator_query('union', *qs[1:], all=all)
            return self._combinator_query('union', *other_qs, all=all)

        def intersection(self, *other_qs):
            # If any query is an EmptyQuerySet, return it.
            if isinstance(self, EmptyQuerySet):
                return self
            for other in other_qs:
                if isinstance(other, EmptyQuerySet):
                    return other
            return self._combinator_query('intersection', *other_qs)

        def difference(self, *other_qs):
            # If the query is an EmptyQuerySet, return it.
            if isinstance(self, EmptyQuerySet):
                return self
            return self._combinator_query('difference', *other_qs)

        def select_for_update(self, nowait=False, skip_locked=False, of=(), no_key=False):
            """
            Return a new QuerySet instance that will select objects with a
            FOR UPDATE lock.
            """
            if nowait and skip_locked:
                raise ValueError('The nowait option cannot be used with skip_locked.')
            obj = self._chain()
            obj._for_write = True
            obj.query.select_for_update = True
            obj.query.select_for_update_nowait = nowait
            obj.query.select_for_update_skip_locked = skip_locked
            obj.query.select_for_update_of = of
            obj.query.select_for_no_key_update = no_key
            return obj

        def select_related(self, *fields):
            """
            Return a new QuerySet instance that will select related objects.

            If fields are specified, they must be ForeignKey fields and only those
            related objects are included in the selection.

            If select_related(None) is called, clear the list.
            """
            self._not_support_combined_queries('select_related')
            if self._fields is not None:
                raise TypeError("Cannot call select_related() after .values() or .values_list()")

            obj = self._chain()
            if fields == (None,):
                obj.query.select_related = False
            elif fields:
                obj.query.add_select_related(fields)
            else:
                obj.query.select_related = True
            return obj

        def prefetch_related(self, *lookups):
            """
            Return a new QuerySet instance that will prefetch the specified
            Many-To-One and Many-To-Many related objects when the QuerySet is
            evaluated.

            When prefetch_related() is called more than once, append to the list of
            prefetch lookups. If prefetch_related(None) is called, clear the list.
            """
            self._not_support_combined_queries('prefetch_related')
            clone = self._chain()
            if lookups == (None,):
                clone._prefetch_related_lookups = ()
            else:
                for lookup in lookups:
                    if isinstance(lookup, Prefetch):
                        lookup = lookup.prefetch_to
                    lookup = lookup.split(LOOKUP_SEP, 1)[0]
                    if lookup in self.query._filtered_relations:
                        raise ValueError('prefetch_related() is not supported with FilteredRelation.')
                clone._prefetch_related_lookups = clone._prefetch_related_lookups + lookups
            return clone

        def annotate(self, *args, **kwargs):
            """
            Return a query set in which the returned objects have been annotated
            with extra data or aggregations.
            """
            self._not_support_combined_queries('annotate')
            return self._annotate(args, kwargs, select=True)

        def alias(self, *args, **kwargs):
            """
            Return a query set with added aliases for extra data or aggregations.
            """
            self._not_support_combined_queries('alias')
            return self._annotate(args, kwargs, select=False)

        def _annotate(self, args, kwargs, select=True):
            self._validate_values_are_expressions(args + tuple(kwargs.values()), method_name='annotate')
            annotations = {}
            for arg in args:
                # The default_alias property may raise a TypeError.
                try:
                    if arg.default_alias in kwargs:
                        raise ValueError("The named annotation '%s' conflicts with the "
                                         "default name for another annotation."
                                         % arg.default_alias)
                except TypeError:
                    raise TypeError("Complex annotations require an alias")
                annotations[arg.default_alias] = arg
            annotations.update(kwargs)

            clone = self._chain()
            names = self._fields
            if names is None:
                names = set(chain.from_iterable(
                    (field.name, field.attname) if hasattr(field, 'attname') else (field.name,)
                    for field in self.model._meta.get_fields()
                ))

            for alias, annotation in annotations.items():
                if alias in names:
                    raise ValueError("The annotation '%s' conflicts with a field on "
                                     "the model." % alias)
                if isinstance(annotation, FilteredRelation):
                    clone.query.add_filtered_relation(annotation, alias)
                else:
                    clone.query.add_annotation(
                        annotation, alias, is_summary=False, select=select,
                    )
            for alias, annotation in clone.query.annotations.items():
                if alias in annotations and annotation.contains_aggregate:
                    if clone._fields is None:
                        clone.query.group_by = True
                    else:
                        clone.query.set_group_by()
                    break

            return clone

        def order_by(self, *field_names):
            """Return a new QuerySet instance with the ordering changed."""
            assert not self.query.is_sliced, \
                "Cannot reorder a query once a slice has been taken."
            obj = self._chain()
            obj.query.clear_ordering(force=True, clear_default=False)
            obj.query.add_ordering(*field_names)
            return obj

        def distinct(self, *field_names):
            """
            Return a new QuerySet instance that will select only distinct results.
            """
            self._not_support_combined_queries('distinct')
            assert not self.query.is_sliced, \
                "Cannot create distinct fields once a slice has been taken."
            obj = self._chain()
            obj.query.add_distinct_fields(*field_names)
            return obj

        def extra(self, select=None, where=None, params=None, tables=None,
                  order_by=None, select_params=None):
            """Add extra SQL fragments to the query."""
            self._not_support_combined_queries('extra')
            assert not self.query.is_sliced, \
                "Cannot change a query once a slice has been taken"
            clone = self._chain()
            clone.query.add_extra(select, select_params, where, params, tables, order_by)
            return clone

        def reverse(self):
            """Reverse the ordering of the QuerySet."""
            if self.query.is_sliced:
                raise TypeError('Cannot reverse a query once a slice has been taken.')
            clone = self._chain()
            clone.query.standard_ordering = not clone.query.standard_ordering
            return clone

        def defer(self, *fields):
            """
            Defer the loading of data for certain fields until they are accessed.
            Add the set of deferred fields to any existing set of deferred fields.
            The only exception to this is if None is passed in as the only
            parameter, in which case removal all deferrals.
            """
            self._not_support_combined_queries('defer')
            if self._fields is not None:
                raise TypeError("Cannot call defer() after .values() or .values_list()")
            clone = self._chain()
            if fields == (None,):
                clone.query.clear_deferred_loading()
            else:
                clone.query.add_deferred_loading(fields)
            return clone

        def only(self, *fields):
            """
            Essentially, the opposite of defer(). Only the fields passed into this
            method and that are not already specified as deferred are loaded
            immediately when the queryset is evaluated.
            """
            self._not_support_combined_queries('only')
            if self._fields is not None:
                raise TypeError("Cannot call only() after .values() or .values_list()")
            if fields == (None,):
                # Can only pass None to defer(), not only(), as the rest option.
                # That won't stop people trying to do this, so let's be explicit.
                raise TypeError("Cannot pass None as an argument to only().")
            for field in fields:
                field = field.split(LOOKUP_SEP, 1)[0]
                if field in self.query._filtered_relations:
                    raise ValueError('only() is not supported with FilteredRelation.')
            clone = self._chain()
            clone.query.add_immediate_loading(fields)
            return clone

        def using(self, alias):
            """Select which database this QuerySet should execute against."""
            clone = self._chain()
            clone._db = alias
            return clone

        ###################################
        # PUBLIC INTROSPECTION ATTRIBUTES #
        ###################################

        @property
        def ordered(self):
            """
            Return True if the QuerySet is ordered -- i.e. has an order_by()
            clause or a default ordering on the model (or is empty).
            """
            if isinstance(self, EmptyQuerySet):
                return True
            if self.query.extra_order_by or self.query.order_by:
                return True
            elif (
                self.query.default_ordering and
                self.query.get_meta().ordering and
                # A default ordering doesn't affect GROUP BY queries.
                not self.query.group_by
            ):
                return True
            else:
                return False

        @property
        def db(self):
            """Return the database used if this query is executed now."""
            if self._for_write:
                return self._db or router.db_for_write(self.model, **self._hints)
            return self._db or router.db_for_read(self.model, **self._hints)

        ###################
        # PRIVATE METHODS #
        ###################

        def _insert(self, objs, fields, returning_fields=None, raw=False, using=None, ignore_conflicts=False):
            """
            Insert a new record for the given model. This provides an interface to
            the InsertQuery class and is how Model.save() is implemented.
            """
            self._for_write = True
            if using is None:
                using = self.db
            query = sql.InsertQuery(self.model, ignore_conflicts=ignore_conflicts)
            query.insert_values(fields, objs, raw=raw)
            return query.get_compiler(using=using).execute_sql(returning_fields)
        _insert.alters_data = True
        _insert.queryset_only = False

        def _batched_insert(self, objs, fields, batch_size, ignore_conflicts=False):
            """
            Helper method for bulk_create() to insert objs one batch at a time.
            """
            if ignore_conflicts and not connections[self.db].features.supports_ignore_conflicts:
                raise NotSupportedError('This database backend does not support ignoring conflicts.')
            ops = connections[self.db].ops
            max_batch_size = max(ops.bulk_batch_size(fields, objs), 1)
            batch_size = min(batch_size, max_batch_size) if batch_size else max_batch_size
            inserted_rows = []
            bulk_return = connections[self.db].features.can_return_rows_from_bulk_insert
            for item in [objs[i:i + batch_size] for i in range(0, len(objs), batch_size)]:
                if bulk_return and not ignore_conflicts:
                    inserted_rows.extend(self._insert(
                        item, fields=fields, using=self.db,
                        returning_fields=self.model._meta.db_returning_fields,
                        ignore_conflicts=ignore_conflicts,
                    ))
                else:
                    self._insert(item, fields=fields, using=self.db, ignore_conflicts=ignore_conflicts)
            return inserted_rows

        def _chain(self, **kwargs):
            """
            Return a copy of the current QuerySet that's ready for another
            operation.
            """
            obj = self._clone()
            if obj._sticky_filter:
                obj.query.filter_is_sticky = True
                obj._sticky_filter = False
            obj.__dict__.update(kwargs)
            return obj

        def _clone(self):
            """
            Return a copy of the current QuerySet. A lightweight alternative
            to deepcopy().
            """
            c = self.__class__(model=self.model, query=self.query.chain(), using=self._db, hints=self._hints)
            c._sticky_filter = self._sticky_filter
            c._for_write = self._for_write
            c._prefetch_related_lookups = self._prefetch_related_lookups[:]
            c._known_related_objects = self._known_related_objects
            c._iterable_class = self._iterable_class
            c._fields = self._fields
            return c

        def _fetch_all(self):
            if self._result_cache is None:
                self._result_cache = list(self._iterable_class(self))
            if self._prefetch_related_lookups and not self._prefetch_done:
                self._prefetch_related_objects()

        def _next_is_sticky(self):
            """
            Indicate that the next filter call and the one following that should
            be treated as a single filter. This is only important when it comes to
            determining when to reuse tables for many-to-many filters. Required so
            that we can filter naturally on the results of related managers.

            This doesn't return a clone of the current QuerySet (it returns
            "self"). The method is only used internally and should be immediately
            followed by a filter() that does create a clone.
            """
            self._sticky_filter = True
            return self

        def _merge_sanity_check(self, other):
            """Check that two QuerySet classes may be merged."""
            if self._fields is not None and (
                    set(self.query.values_select) != set(other.query.values_select) or
                    set(self.query.extra_select) != set(other.query.extra_select) or
                    set(self.query.annotation_select) != set(other.query.annotation_select)):
                raise TypeError(
                    "Merging '%s' classes must involve the same values in each case."
                    % self.__class__.__name__
                )

        def _merge_known_related_objects(self, other):
            """
            Keep track of all known related objects from either QuerySet instance.
            """
            for field, objects in other._known_related_objects.items():
                self._known_related_objects.setdefault(field, {}).update(objects)

        def resolve_expression(self, *args, **kwargs):
            if self._fields and len(self._fields) > 1:
                # values() queryset can only be used as nested queries
                # if they are set up to select only a single field.
                raise TypeError('Cannot use multi-field values as a filter value.')
            query = self.query.resolve_expression(*args, **kwargs)
            query._db = self._db
            return query
        resolve_expression.queryset_only = True

        def _add_hints(self, **hints):
            """
            Update hinting information for use by routers. Add new key/values or
            overwrite existing key/values.
            """
            self._hints.update(hints)

        def _has_filters(self):
            """
            Check if this QuerySet has any filtering going on. This isn't
            equivalent with checking if all objects are present in results, for
            example, qs[1:]._has_filters() -> False.
            """
            return self.query.has_filters()

        @staticmethod
        def _validate_values_are_expressions(values, method_name):
            invalid_args = sorted(str(arg) for arg in values if not hasattr(arg, 'resolve_expression'))
            if invalid_args:
                raise TypeError(
                    'QuerySet.%s() received non-expression(s): %s.' % (
                        method_name,
                        ', '.join(invalid_args),
                    )
                )

        def _not_support_combined_queries(self, operation_name):
            if self.query.combinator:
                raise NotSupportedError(
                    'Calling QuerySet.%s() after %s() is not supported.'
                    % (operation_name, self.query.combinator)
                )

    class InstanceCheckMeta(type):
        def __instancecheck__(self, instance):
            return isinstance(instance, QuerySet) and instance.query.is_empty()

    class EmptyQuerySet(metaclass=InstanceCheckMeta):
        """
        Marker class to checking if a queryset is empty by .none():
            isinstance(qs.none(), EmptyQuerySet) -> True
        """

        def __init__(self, *args, **kwargs):
            raise TypeError("EmptyQuerySet can't be instantiated")

    class RawQuerySet:
        """
        Provide an iterator which converts the results of raw SQL queries into
        annotated model instances.
        """
        def __init__(self, raw_query, model=None, query=None, params=(),
                     translations=None, using=None, hints=None):
            self.raw_query = raw_query
            self.model = model
            self._db = using
            self._hints = hints or {}
            self.query = query or sql.RawQuery(sql=raw_query, using=self.db, params=params)
            self.params = params
            self.translations = translations or {}
            self._result_cache = None
            self._prefetch_related_lookups = ()
            self._prefetch_done = False

        def resolve_model_init_order(self):
            """Resolve the init field names and value positions."""
            converter = connections[self.db].introspection.identifier_converter
            model_init_fields = [f for f in self.model._meta.fields if converter(f.column) in self.columns]
            annotation_fields = [(column, pos) for pos, column in enumerate(self.columns)
                                 if column not in self.model_fields]
            model_init_order = [self.columns.index(converter(f.column)) for f in model_init_fields]
            model_init_names = [f.attname for f in model_init_fields]
            return model_init_names, model_init_order, annotation_fields

        def prefetch_related(self, *lookups):
            """Same as QuerySet.prefetch_related()"""
            clone = self._clone()
            if lookups == (None,):
                clone._prefetch_related_lookups = ()
            else:
                clone._prefetch_related_lookups = clone._prefetch_related_lookups + lookups
            return clone

        def _prefetch_related_objects(self):
            prefetch_related_objects(self._result_cache, *self._prefetch_related_lookups)
            self._prefetch_done = True

        def _clone(self):
            """Same as QuerySet._clone()"""
            c = self.__class__(
                self.raw_query, model=self.model, query=self.query, params=self.params,
                translations=self.translations, using=self._db, hints=self._hints
            )
            c._prefetch_related_lookups = self._prefetch_related_lookups[:]
            return c

        def _fetch_all(self):
            if self._result_cache is None:
                self._result_cache = list(self.iterator())
            if self._prefetch_related_lookups and not self._prefetch_done:
                self._prefetch_related_objects()

        def __len__(self):
            self._fetch_all()
            return len(self._result_cache)

        def __bool__(self):
            self._fetch_all()
            return bool(self._result_cache)

        def __iter__(self):
            self._fetch_all()
            return iter(self._result_cache)

        def iterator(self):
            # Cache some things for performance reasons outside the loop.
            db = self.db
            compiler = connections[db].ops.compiler('SQLCompiler')(
                self.query, connections[db], db
            )

            query = iter(self.query)

            try:
                model_init_names, model_init_pos, annotation_fields = self.resolve_model_init_order()
                if self.model._meta.pk.attname not in model_init_names:
                    raise exceptions.FieldDoesNotExist(
                        'Raw query must include the primary key'
                    )
                model_cls = self.model
                fields = [self.model_fields.get(c) for c in self.columns]
                converters = compiler.get_converters([
                    f.get_col(f.model._meta.db_table) if f else None for f in fields
                ])
                if converters:
                    query = compiler.apply_converters(query, converters)
                for values in query:
                    # Associate fields to values
                    model_init_values = [values[pos] for pos in model_init_pos]
                    instance = model_cls.from_db(db, model_init_names, model_init_values)
                    if annotation_fields:
                        for column, pos in annotation_fields:
                            setattr(instance, column, values[pos])
                    yield instance
            finally:
                # Done iterating the Query. If it has its own cursor, close it.
                if hasattr(self.query, 'cursor') and self.query.cursor:
                    self.query.cursor.close()

        def __repr__(self):
            return "<%s: %s>" % (self.__class__.__name__, self.query)

        def __getitem__(self, k):
            return list(self)[k]

        @property
        def db(self):
            """Return the database used if this query is executed now."""
            return self._db or router.db_for_read(self.model, **self._hints)

        def using(self, alias):
            """Select the database this RawQuerySet should execute against."""
            return RawQuerySet(
                self.raw_query, model=self.model,
                query=self.query.chain(using=alias),
                params=self.params, translations=self.translations,
                using=alias,
            )

        @cached_property
        def columns(self):
            """
            A list of model field names in the order they'll appear in the
            query results.
            """
            columns = self.query.get_columns()
            # Adjust any column names which don't match field names
            for (query_name, model_name) in self.translations.items():
                # Ignore translations for nonexistent column names
                try:
                    index = columns.index(query_name)
                except ValueError:
                    pass
                else:
                    columns[index] = model_name
            return columns

        @cached_property
        def model_fields(self):
            """A dict mapping column names to model field names."""
            converter = connections[self.db].introspection.identifier_converter
            model_fields = {}
            for field in self.model._meta.fields:
                name, column = field.get_attname_column()
                model_fields[converter(column)] = field
            return model_fields

    class Prefetch:
        def __init__(self, lookup, queryset=None, to_attr=None):
            # `prefetch_through` is the path we traverse to perform the prefetch.
            self.prefetch_through = lookup
            # `prefetch_to` is the path to the attribute that stores the result.
            self.prefetch_to = lookup
            if queryset is not None and (
                isinstance(queryset, RawQuerySet) or (
                    hasattr(queryset, '_iterable_class') and
                    not issubclass(queryset._iterable_class, ModelIterable)
                )
            ):
                raise ValueError(
                    'Prefetch querysets cannot use raw(), values(), and '
                    'values_list().'
                )
            if to_attr:
                self.prefetch_to = LOOKUP_SEP.join(lookup.split(LOOKUP_SEP)[:-1] + [to_attr])

            self.queryset = queryset
            self.to_attr = to_attr

        def __getstate__(self):
            obj_dict = self.__dict__.copy()
            if self.queryset is not None:
                # Prevent the QuerySet from being evaluated
                obj_dict['queryset'] = self.queryset._chain(
                    _result_cache=[],
                    _prefetch_done=True,
                )
            return obj_dict

        def add_prefix(self, prefix):
            self.prefetch_through = prefix + LOOKUP_SEP + self.prefetch_through
            self.prefetch_to = prefix + LOOKUP_SEP + self.prefetch_to

        def get_current_prefetch_to(self, level):
            return LOOKUP_SEP.join(self.prefetch_to.split(LOOKUP_SEP)[:level + 1])

        def get_current_to_attr(self, level):
            parts = self.prefetch_to.split(LOOKUP_SEP)
            to_attr = parts[level]
            as_attr = self.to_attr and level == len(parts) - 1
            return to_attr, as_attr

        def get_current_queryset(self, level):
            if self.get_current_prefetch_to(level) == self.prefetch_to:
                return self.queryset
            return None

        def __eq__(self, other):
            if not isinstance(other, Prefetch):
                return NotImplemented
            return self.prefetch_to == other.prefetch_to

        def __hash__(self):
            return hash((self.__class__, self.prefetch_to))

    def normalize_prefetch_lookups(lookups, prefix=None):
        """Normalize lookups into Prefetch objects."""
        ret = []
        for lookup in lookups:
            if not isinstance(lookup, Prefetch):
                lookup = Prefetch(lookup)
            if prefix:
                lookup.add_prefix(prefix)
            ret.append(lookup)
        return ret

    def prefetch_related_objects(model_instances, *related_lookups):
        """
        Populate prefetched object caches for a list of model instances based on
        the lookups/Prefetch instances given.
        """
        if not model_instances:
            return  # nothing to do

        # We need to be able to dynamically add to the list of prefetch_related
        # lookups that we look up (see below).  So we need some book keeping to
        # ensure we don't do duplicate work.
        done_queries = {}    # dictionary of things like 'foo__bar': [results]

        auto_lookups = set()  # we add to this as we go through.
        followed_descriptors = set()  # recursion protection

        all_lookups = normalize_prefetch_lookups(reversed(related_lookups))
        while all_lookups:
            lookup = all_lookups.pop()
            if lookup.prefetch_to in done_queries:
                if lookup.queryset is not None:
                    raise ValueError("'%s' lookup was already seen with a different queryset. "
                                     "You may need to adjust the ordering of your lookups." % lookup.prefetch_to)

                continue

            # Top level, the list of objects to decorate is the result cache
            # from the primary QuerySet. It won't be for deeper levels.
            obj_list = model_instances

            through_attrs = lookup.prefetch_through.split(LOOKUP_SEP)
            for level, through_attr in enumerate(through_attrs):
                # Prepare main instances
                if not obj_list:
                    break

                prefetch_to = lookup.get_current_prefetch_to(level)
                if prefetch_to in done_queries:
                    # Skip any prefetching, and any object preparation
                    obj_list = done_queries[prefetch_to]
                    continue

                # Prepare objects:
                good_objects = True
                for obj in obj_list:
                    # Since prefetching can re-use instances, it is possible to have
                    # the same instance multiple times in obj_list, so obj might
                    # already be prepared.
                    if not hasattr(obj, '_prefetched_objects_cache'):
                        try:
                            obj._prefetched_objects_cache = {}
                        except (AttributeError, TypeError):
                            # Must be an immutable object from
                            # values_list(flat=True), for example (TypeError) or
                            # a QuerySet subclass that isn't returning Model
                            # instances (AttributeError), either in Django or a 3rd
                            # party. prefetch_related() doesn't make sense, so quit.
                            good_objects = False
                            break
                if not good_objects:
                    break

                # Descend down tree

                # We assume that objects retrieved are homogeneous (which is the premise
                # of prefetch_related), so what applies to first object applies to all.
                first_obj = obj_list[0]
                to_attr = lookup.get_current_to_attr(level)[0]
                prefetcher, descriptor, attr_found, is_fetched = get_prefetcher(first_obj, through_attr, to_attr)

                if not attr_found:
                    raise AttributeError("Cannot find '%s' on %s object, '%s' is an invalid "
                                         "parameter to prefetch_related()" %
                                         (through_attr, first_obj.__class__.__name__, lookup.prefetch_through))

                if level == len(through_attrs) - 1 and prefetcher is None:
                    # Last one, this *must* resolve to something that supports
                    # prefetching, otherwise there is no point adding it and the
                    # developer asking for it has made a mistake.
                    raise ValueError("'%s' does not resolve to an item that supports "
                                     "prefetching - this is an invalid parameter to "
                                     "prefetch_related()." % lookup.prefetch_through)

                obj_to_fetch = None
                if prefetcher is not None:
                    obj_to_fetch = [obj for obj in obj_list if not is_fetched(obj)]

                if obj_to_fetch:
                    obj_list, additional_lookups = prefetch_one_level(
                        obj_to_fetch,
                        prefetcher,
                        lookup,
                        level,
                    )
                    # We need to ensure we don't keep adding lookups from the
                    # same relationships to stop infinite recursion. So, if we
                    # are already on an automatically added lookup, don't add
                    # the new lookups from relationships we've seen already.
                    if not (prefetch_to in done_queries and lookup in auto_lookups and descriptor in followed_descriptors):
                        done_queries[prefetch_to] = obj_list
                        new_lookups = normalize_prefetch_lookups(reversed(additional_lookups), prefetch_to)
                        auto_lookups.update(new_lookups)
                        all_lookups.extend(new_lookups)
                    followed_descriptors.add(descriptor)
                else:
                    # Either a singly related object that has already been fetched
                    # (e.g. via select_related), or hopefully some other property
                    # that doesn't support prefetching but needs to be traversed.

                    # We replace the current list of parent objects with the list
                    # of related objects, filtering out empty or missing values so
                    # that we can continue with nullable or reverse relations.
                    new_obj_list = []
                    for obj in obj_list:
                        if through_attr in getattr(obj, '_prefetched_objects_cache', ()):
                            # If related objects have been prefetched, use the
                            # cache rather than the object's through_attr.
                            new_obj = list(obj._prefetched_objects_cache.get(through_attr))
                        else:
                            try:
                                new_obj = getattr(obj, through_attr)
                            except exceptions.ObjectDoesNotExist:
                                continue
                        if new_obj is None:
                            continue
                        # We special-case `list` rather than something more generic
                        # like `Iterable` because we don't want to accidentally match
                        # user models that define __iter__.
                        if isinstance(new_obj, list):
                            new_obj_list.extend(new_obj)
                        else:
                            new_obj_list.append(new_obj)
                    obj_list = new_obj_list

    def get_prefetcher(instance, through_attr, to_attr):
        """
        For the attribute 'through_attr' on the given instance, find
        an object that has a get_prefetch_queryset().
        Return a 4 tuple containing:
        (the object with get_prefetch_queryset (or None),
         the descriptor object representing this relationship (or None),
         a boolean that is False if the attribute was not found at all,
         a function that takes an instance and returns a boolean that is True if
         the attribute has already been fetched for that instance)
        """
        def has_to_attr_attribute(instance):
            return hasattr(instance, to_attr)

        prefetcher = None
        is_fetched = has_to_attr_attribute

        # For singly related objects, we have to avoid getting the attribute
        # from the object, as this will trigger the query. So we first try
        # on the class, in order to get the descriptor object.
        rel_obj_descriptor = getattr(instance.__class__, through_attr, None)
        if rel_obj_descriptor is None:
            attr_found = hasattr(instance, through_attr)
        else:
            attr_found = True
            if rel_obj_descriptor:
                # singly related object, descriptor object has the
                # get_prefetch_queryset() method.
                if hasattr(rel_obj_descriptor, 'get_prefetch_queryset'):
                    prefetcher = rel_obj_descriptor
                    is_fetched = rel_obj_descriptor.is_cached
                else:
                    # descriptor doesn't support prefetching, so we go ahead and get
                    # the attribute on the instance rather than the class to
                    # support many related managers
                    rel_obj = getattr(instance, through_attr)
                    if hasattr(rel_obj, 'get_prefetch_queryset'):
                        prefetcher = rel_obj
                    if through_attr != to_attr:
                        # Special case cached_property instances because hasattr
                        # triggers attribute computation and assignment.
                        if isinstance(getattr(instance.__class__, to_attr, None), cached_property):
                            def has_cached_property(instance):
                                return to_attr in instance.__dict__

                            is_fetched = has_cached_property
                    else:
                        def in_prefetched_cache(instance):
                            return through_attr in instance._prefetched_objects_cache

                        is_fetched = in_prefetched_cache
        return prefetcher, rel_obj_descriptor, attr_found, is_fetched

    def prefetch_one_level(instances, prefetcher, lookup, level):
        """
        Helper function for prefetch_related_objects().

        Run prefetches on all instances using the prefetcher object,
        assigning results to relevant caches in instance.

        Return the prefetched objects along with any additional prefetches that
        must be done due to prefetch_related lookups found from default managers.
        """
        # prefetcher must have a method get_prefetch_queryset() which takes a list
        # of instances, and returns a tuple:

        # (queryset of instances of self.model that are related to passed in instances,
        #  callable that gets value to be matched for returned instances,
        #  callable that gets value to be matched for passed in instances,
        #  boolean that is True for singly related objects,
        #  cache or field name to assign to,
        #  boolean that is True when the previous argument is a cache name vs a field name).

        # The 'values to be matched' must be hashable as they will be used
        # in a dictionary.

        rel_qs, rel_obj_attr, instance_attr, single, cache_name, is_descriptor = (
            prefetcher.get_prefetch_queryset(instances, lookup.get_current_queryset(level)))
        # We have to handle the possibility that the QuerySet we just got back
        # contains some prefetch_related lookups. We don't want to trigger the
        # prefetch_related functionality by evaluating the query. Rather, we need
        # to merge in the prefetch_related lookups.
        # Copy the lookups in case it is a Prefetch object which could be reused
        # later (happens in nested prefetch_related).
        additional_lookups = [
            copy.copy(additional_lookup) for additional_lookup
            in getattr(rel_qs, '_prefetch_related_lookups', ())
        ]
        if additional_lookups:
            # Don't need to clone because the manager should have given us a fresh
            # instance, so we access an internal instead of using public interface
            # for performance reasons.
            rel_qs._prefetch_related_lookups = ()

        all_related_objects = list(rel_qs)

        rel_obj_cache = {}
        for rel_obj in all_related_objects:
            rel_attr_val = rel_obj_attr(rel_obj)
            rel_obj_cache.setdefault(rel_attr_val, []).append(rel_obj)

        to_attr, as_attr = lookup.get_current_to_attr(level)
        # Make sure `to_attr` does not conflict with a field.
        if as_attr and instances:
            # We assume that objects retrieved are homogeneous (which is the premise
            # of prefetch_related), so what applies to first object applies to all.
            model = instances[0].__class__
            try:
                model._meta.get_field(to_attr)
            except exceptions.FieldDoesNotExist:
                pass
            else:
                msg = 'to_attr={} conflicts with a field on the {} model.'
                raise ValueError(msg.format(to_attr, model.__name__))

        # Whether or not we're prefetching the last part of the lookup.
        leaf = len(lookup.prefetch_through.split(LOOKUP_SEP)) - 1 == level

        for obj in instances:
            instance_attr_val = instance_attr(obj)
            vals = rel_obj_cache.get(instance_attr_val, [])

            if single:
                val = vals[0] if vals else None
                if as_attr:
                    # A to_attr has been given for the prefetch.
                    setattr(obj, to_attr, val)
                elif is_descriptor:
                    # cache_name points to a field name in obj.
                    # This field is a descriptor for a related object.
                    setattr(obj, cache_name, val)
                else:
                    # No to_attr has been given for this prefetch operation and the
                    # cache_name does not point to a descriptor. Store the value of
                    # the field in the object's field cache.
                    obj._state.fields_cache[cache_name] = val
            else:
                if as_attr:
                    setattr(obj, to_attr, vals)
                else:
                    manager = getattr(obj, to_attr)
                    if leaf and lookup.queryset is not None:
                        qs = manager._apply_rel_filters(lookup.queryset)
                    else:
                        qs = manager.get_queryset()
                    qs._result_cache = vals
                    # We don't want the individual qs doing prefetch_related now,
                    # since we have merged this into the current work.
                    qs._prefetch_done = True
                    obj._prefetched_objects_cache[cache_name] = qs
        return all_related_objects, additional_lookups

    class RelatedPopulator:
        """
        RelatedPopulator is used for select_related() object instantiation.

        The idea is that each select_related() model will be populated by a
        different RelatedPopulator instance. The RelatedPopulator instances get
        klass_info and select (computed in SQLCompiler) plus the used db as
        input for initialization. That data is used to compute which columns
        to use, how to instantiate the model, and how to populate the links
        between the objects.

        The actual creation of the objects is done in populate() method. This
        method gets row and from_obj as input and populates the select_related()
        model instance.
        """
        def __init__(self, klass_info, select, db):
            self.db = db
            # Pre-compute needed attributes. The attributes are:
            #  - model_cls: the possibly deferred model class to instantiate
            #  - either:
            #    - cols_start, cols_end: usually the columns in the row are
            #      in the same order model_cls.__init__ expects them, so we
            #      can instantiate by model_cls(*row[cols_start:cols_end])
            #    - reorder_for_init: When select_related descends to a child
            #      class, then we want to reuse the already selected parent
            #      data. However, in this case the parent data isn't necessarily
            #      in the same order that Model.__init__ expects it to be, so
            #      we have to reorder the parent data. The reorder_for_init
            #      attribute contains a function used to reorder the field data
            #      in the order __init__ expects it.
            #  - pk_idx: the index of the primary key field in the reordered
            #    model data. Used to check if a related object exists at all.
            #  - init_list: the field attnames fetched from the database. For
            #    deferred models this isn't the same as all attnames of the
            #    model's fields.
            #  - related_populators: a list of RelatedPopulator instances if
            #    select_related() descends to related models from this model.
            #  - local_setter, remote_setter: Methods to set cached values on
            #    the object being populated and on the remote object. Usually
            #    these are Field.set_cached_value() methods.
            select_fields = klass_info['select_fields']
            from_parent = klass_info['from_parent']
            if not from_parent:
                self.cols_start = select_fields[0]
                self.cols_end = select_fields[-1] + 1
                self.init_list = [
                    f[0].target.attname for f in select[self.cols_start:self.cols_end]
                ]
                self.reorder_for_init = None
            else:
                attname_indexes = {select[idx][0].target.attname: idx for idx in select_fields}
                model_init_attnames = (f.attname for f in klass_info['model']._meta.concrete_fields)
                self.init_list = [attname for attname in model_init_attnames if attname in attname_indexes]
                self.reorder_for_init = operator.itemgetter(*[attname_indexes[attname] for attname in self.init_list])

            self.model_cls = klass_info['model']
            self.pk_idx = self.init_list.index(self.model_cls._meta.pk.attname)
            self.related_populators = get_related_populators(klass_info, select, self.db)
            self.local_setter = klass_info['local_setter']
            self.remote_setter = klass_info['remote_setter']

        def populate(self, row, from_obj):
            if self.reorder_for_init:
                obj_data = self.reorder_for_init(row)
            else:
                obj_data = row[self.cols_start:self.cols_end]
            if obj_data[self.pk_idx] is None:
                obj = None
            else:
                obj = self.model_cls.from_db(self.db, self.init_list, obj_data)
                for rel_iter in self.related_populators:
                    rel_iter.populate(row, obj)
            self.local_setter(from_obj, obj)
            if obj is not None:
                self.remote_setter(obj, from_obj)

    def get_related_populators(klass_info, select, db):
        iterators = []
        related_klass_infos = klass_info.get('related_klass_infos', [])
        for rel_klass_info in related_klass_infos:
            rel_cls = RelatedPopulator(rel_klass_info, select, db)
            iterators.append(rel_cls)
        return iterators