text: from contextlib import contextmanager
  import operator
  
  from sqlalchemy import CHAR
  from sqlalchemy import column
  from sqlalchemy import exc
  from sqlalchemy import exc as sa_exc
  from sqlalchemy import ForeignKey
  from sqlalchemy import func
  from sqlalchemy import INT
  from sqlalchemy import Integer
  from sqlalchemy import literal
  from sqlalchemy import literal_column
  from sqlalchemy import MetaData
  from sqlalchemy import select
  from sqlalchemy import sql
  from sqlalchemy import String
  from sqlalchemy import table
  from sqlalchemy import testing
  from sqlalchemy import text
  from sqlalchemy import type_coerce
  from sqlalchemy import TypeDecorator
  from sqlalchemy import util
  from sqlalchemy import VARCHAR
  from sqlalchemy.engine import default
  from sqlalchemy.engine import result as _result
  from sqlalchemy.testing import assert_raises
  from sqlalchemy.testing import assert_raises_message
  from sqlalchemy.testing import assertions
  from sqlalchemy.testing import engines
  from sqlalchemy.testing import eq_
  from sqlalchemy.testing import fixtures
  from sqlalchemy.testing import in_
  from sqlalchemy.testing import is_
  from sqlalchemy.testing import le_
  from sqlalchemy.testing import ne_
  from sqlalchemy.testing import not_in_
  from sqlalchemy.testing.mock import Mock
  from sqlalchemy.testing.mock import patch
  from sqlalchemy.testing.schema import Column
  from sqlalchemy.testing.schema import Table
  
  
  class ResultProxyTest(fixtures.TablesTest):
      __backend__ = True
  
      @classmethod
      def define_tables(cls, metadata):
          Table(
              "users",
              metadata,
              Column(
                  "user_id", INT, primary_key=True, test_needs_autoincrement=True
              ),
              Column("user_name", VARCHAR(20)),
              test_needs_acid=True,
          )
          Table(
              "addresses",
              metadata,
              Column(
                  "address_id",
                  Integer,
                  primary_key=True,
                  test_needs_autoincrement=True,
              ),
              Column("user_id", Integer, ForeignKey("users.user_id")),
              Column("address", String(30)),
              test_needs_acid=True,
          )
  
          Table(
              "users2",
              metadata,
              Column("user_id", INT, primary_key=True),
              Column("user_name", VARCHAR(20)),
              test_needs_acid=True,
          )
  
      def test_row_iteration(self):
          users = self.tables.users
  
          users.insert().execute(
              {"user_id": 7, "user_name": "jack"},
              {"user_id": 8, "user_name": "ed"},
              {"user_id": 9, "user_name": "fred"},
          )
          r = users.select().execute()
          rows = []
          for row in r:
              rows.append(row)
          eq_(len(rows), 3)
  
      def test_row_next(self):
          users = self.tables.users
  
          users.insert().execute(
              {"user_id": 7, "user_name": "jack"},
              {"user_id": 8, "user_name": "ed"},
              {"user_id": 9, "user_name": "fred"},
          )
          r = users.select().execute()
          rows = []
          while True:
              row = next(r, "foo")
              if row == "foo":
                  break
              rows.append(row)
          eq_(len(rows), 3)
  
      @testing.requires.subqueries
      def test_anonymous_rows(self):
          users = self.tables.users
  
          users.insert().execute(
              {"user_id": 7, "user_name": "jack"},
              {"user_id": 8, "user_name": "ed"},
              {"user_id": 9, "user_name": "fred"},
          )
  
          sel = (
              select([users.c.user_id])
              .where(users.c.user_name == "jack")
              .as_scalar()
          )
          for row in select([sel + 1, sel + 3], bind=users.bind).execute():
              eq_(row["anon_1"], 8)
              eq_(row["anon_2"], 10)
  
      def test_row_comparison(self):
          users = self.tables.users
  
          users.insert().execute(user_id=7, user_name="jack")
          rp = users.select().execute().first()
  
          eq_(rp, rp)
          is_(not (rp != rp), True)
  
          equal = (7, "jack")
  
          eq_(rp, equal)
          eq_(equal, rp)
          is_((not (rp != equal)), True)
          is_(not (equal != equal), True)
  
          def endless():
              while True:
                  yield 1
  
          ne_(rp, endless())
          ne_(endless(), rp)
  
          # test that everything compares the same
          # as it would against a tuple
          for compare in [False, 8, endless(), "xyz", (7, "jack")]:
              for op in [
                  operator.eq,
                  operator.ne,
                  operator.gt,
                  operator.lt,
                  operator.ge,
                  operator.le,
              ]:
  
                  try:
                      control = op(equal, compare)
                  except TypeError:
                      # Py3K raises TypeError for some invalid comparisons
                      assert_raises(TypeError, op, rp, compare)
                  else:
                      eq_(control, op(rp, compare))
  
                  try:
                      control = op(compare, equal)
                  except TypeError:
                      # Py3K raises TypeError for some invalid comparisons
                      assert_raises(TypeError, op, compare, rp)
                  else:
                      eq_(control, op(compare, rp))
  
      @testing.provide_metadata
      def test_column_label_overlap_fallback(self):
          content = Table("content", self.metadata, Column("type", String(30)))
          bar = Table("bar", self.metadata, Column("content_type", String(30)))
          self.metadata.create_all(testing.db)
          testing.db.execute(content.insert().values(type="t1"))
  
          row = testing.db.execute(content.select(use_labels=True)).first()
          in_(content.c.type, row)
          not_in_(bar.c.content_type, row)
          in_(sql.column("content_type"), row)
  
          row = testing.db.execute(
              select([content.c.type.label("content_type")])
          ).first()
          in_(content.c.type, row)
  
          not_in_(bar.c.content_type, row)
  
          in_(sql.column("content_type"), row)
  
          row = testing.db.execute(
              select([func.now().label("content_type")])
          ).first()
          not_in_(content.c.type, row)
  
          not_in_(bar.c.content_type, row)
  
          in_(sql.column("content_type"), row)
  
      def test_pickled_rows(self):
          users = self.tables.users
          addresses = self.tables.addresses
  
          users.insert().execute(
              {"user_id": 7, "user_name": "jack"},
              {"user_id": 8, "user_name": "ed"},
              {"user_id": 9, "user_name": "fred"},
          )
  
          for pickle in False, True:
              for use_labels in False, True:
                  result = (
                      users.select(use_labels=use_labels)
                      .order_by(users.c.user_id)
                      .execute()
                      .fetchall()
                  )
  
                  if pickle:
                      result = util.pickle.loads(util.pickle.dumps(result))
  
                  eq_(result, [(7, "jack"), (8, "ed"), (9, "fred")])
                  if use_labels:
                      eq_(result[0]["users_user_id"], 7)
                      eq_(
                          list(result[0].keys()),
                          ["users_user_id", "users_user_name"],
                      )
                  else:
                      eq_(result[0]["user_id"], 7)
                      eq_(list(result[0].keys()), ["user_id", "user_name"])
  
                  eq_(result[0][0], 7)
                  eq_(result[0][users.c.user_id], 7)
                  eq_(result[0][users.c.user_name], "jack")
  
                  if not pickle or use_labels:
                      assert_raises(
                          exc.NoSuchColumnError,
                          lambda: result[0][addresses.c.user_id],
                      )
                  else:
                      # test with a different table.  name resolution is
                      # causing 'user_id' to match when use_labels wasn't used.
                      eq_(result[0][addresses.c.user_id], 7)
  
                  assert_raises(
                      exc.NoSuchColumnError, lambda: result[0]["fake key"]
                  )
                  assert_raises(
                      exc.NoSuchColumnError,
                      lambda: result[0][addresses.c.address_id],
                  )
  
      def test_column_error_printing(self):
          result = testing.db.execute(select([1]))
          row = result.first()
  
          class unprintable(object):
              def __str__(self):
                  raise ValueError("nope")
  
          msg = r"Could not locate column in row for column '%s'"
  
          for accessor, repl in [
              ("x", "x"),
              (Column("q", Integer), "q"),
              (Column("q", Integer) + 12, r"q \+ :q_1"),
              (unprintable(), "unprintable element.*"),
          ]:
              assert_raises_message(
                  exc.NoSuchColumnError, msg % repl, result._getter, accessor
              )
  
              is_(result._getter(accessor, False), None)
  
              assert_raises_message(
                  exc.NoSuchColumnError, msg % repl, lambda: row[accessor]
              )
  
      def test_fetchmany(self):
          users = self.tables.users
  
          users.insert().execute(user_id=7, user_name="jack")
          users.insert().execute(user_id=8, user_name="ed")
          users.insert().execute(user_id=9, user_name="fred")
          r = users.select().execute()
          rows = []
          for row in r.fetchmany(size=2):
              rows.append(row)
          eq_(len(rows), 2)
  
      def test_column_slices(self):
          users = self.tables.users
          addresses = self.tables.addresses
  
          users.insert().execute(user_id=1, user_name="john")
          users.insert().execute(user_id=2, user_name="jack")
          addresses.insert().execute(
              address_id=1, user_id=2, address="foo@bar.com"
          )
  
          r = text("select * from addresses", bind=testing.db).execute().first()
          eq_(r[0:1], (1,))
          eq_(r[1:], (2, "foo@bar.com"))
          eq_(r[:-1], (1, 2))
  
      def test_column_accessor_basic_compiled(self):
          users = self.tables.users
  
          users.insert().execute(
              dict(user_id=1, user_name="john"),
              dict(user_id=2, user_name="jack"),
          )
  
          r = users.select(users.c.user_id == 2).execute().first()
          eq_(r.user_id, 2)
          eq_(r["user_id"], 2)
          eq_(r[users.c.user_id], 2)
  
          eq_(r.user_name, "jack")
          eq_(r["user_name"], "jack")
          eq_(r[users.c.user_name], "jack")
  
      def test_column_accessor_basic_text(self):
          users = self.tables.users
  
          users.insert().execute(
              dict(user_id=1, user_name="john"),
              dict(user_id=2, user_name="jack"),
          )
          r = testing.db.execute(
              text("select * from users where user_id=2")
          ).first()
  
          eq_(r.user_id, 2)
          eq_(r["user_id"], 2)
          eq_(r[users.c.user_id], 2)
  
          eq_(r.user_name, "jack")
          eq_(r["user_name"], "jack")
          eq_(r[users.c.user_name], "jack")
  
      def test_column_accessor_textual_select(self):
          users = self.tables.users
  
          users.insert().execute(
              dict(user_id=1, user_name="john"),
              dict(user_id=2, user_name="jack"),
          )
          # this will create column() objects inside
          # the select(), these need to match on name anyway
          r = testing.db.execute(
              select([column("user_id"), column("user_name")])
              .select_from(table("users"))
              .where(text("user_id=2"))
          ).first()
  
          eq_(r.user_id, 2)
          eq_(r["user_id"], 2)
          eq_(r[users.c.user_id], 2)
  
          eq_(r.user_name, "jack")
          eq_(r["user_name"], "jack")
          eq_(r[users.c.user_name], "jack")
  
      def test_column_accessor_dotted_union(self):
          users = self.tables.users
  
          users.insert().execute(dict(user_id=1, user_name="john"))
  
          # test a little sqlite < 3.10.0 weirdness - with the UNION,
          # cols come back as "users.user_id" in cursor.description
          r = testing.db.execute(
              text(
                  "select users.user_id, users.user_name "
                  "from users "
                  "UNION select users.user_id, "
                  "users.user_name from users"
              )
          ).first()
          eq_(r["user_id"], 1)
          eq_(r["user_name"], "john")
          eq_(list(r.keys()), ["user_id", "user_name"])
  
      def test_column_accessor_sqlite_raw(self):
          users = self.tables.users
  
          users.insert().execute(dict(user_id=1, user_name="john"))
  
          r = (
              text(
                  "select users.user_id, users.user_name "
                  "from users "
                  "UNION select users.user_id, "
                  "users.user_name from users",
                  bind=testing.db,
              )
              .execution_options(sqlite_raw_colnames=True)
              .execute()
              .first()
          )
  
          if testing.against("sqlite < 3.10.0"):
              not_in_("user_id", r)
              not_in_("user_name", r)
              eq_(r["users.user_id"], 1)
              eq_(r["users.user_name"], "john")
  
              eq_(list(r.keys()), ["users.user_id", "users.user_name"])
          else:
              not_in_("users.user_id", r)
              not_in_("users.user_name", r)
              eq_(r["user_id"], 1)
              eq_(r["user_name"], "john")
  
              eq_(list(r.keys()), ["user_id", "user_name"])
  
      def test_column_accessor_sqlite_translated(self):
          users = self.tables.users
  
          users.insert().execute(dict(user_id=1, user_name="john"))
  
          r = (
              text(
                  "select users.user_id, users.user_name "
                  "from users "
                  "UNION select users.user_id, "
                  "users.user_name from users",
                  bind=testing.db,
              )
              .execute()
              .first()
          )
          eq_(r["user_id"], 1)
          eq_(r["user_name"], "john")
  
          if testing.against("sqlite < 3.10.0"):
              eq_(r["users.user_id"], 1)
              eq_(r["users.user_name"], "john")
          else:
              not_in_("users.user_id", r)
              not_in_("users.user_name", r)
  
          eq_(list(r.keys()), ["user_id", "user_name"])
  
      def test_column_accessor_labels_w_dots(self):
          users = self.tables.users
  
          users.insert().execute(dict(user_id=1, user_name="john"))
          # test using literal tablename.colname
          r = (
              text(
                  'select users.user_id AS "users.user_id", '
                  'users.user_name AS "users.user_name" '
                  "from users",
                  bind=testing.db,
              )
              .execution_options(sqlite_raw_colnames=True)
              .execute()
              .first()
          )
          eq_(r["users.user_id"], 1)
          eq_(r["users.user_name"], "john")
          not_in_("user_name", r)
          eq_(list(r.keys()), ["users.user_id", "users.user_name"])
  
      def test_column_accessor_unary(self):
          users = self.tables.users
  
          users.insert().execute(dict(user_id=1, user_name="john"))
  
          # unary expressions
          r = (
              select([users.c.user_name.distinct()])
              .order_by(users.c.user_name)
              .execute()
              .first()
          )
          eq_(r[users.c.user_name], "john")
          eq_(r.user_name, "john")
  
      def test_column_accessor_err(self):
          r = testing.db.execute(select([1])).first()
          assert_raises_message(
              AttributeError,
              "Could not locate column in row for column 'foo'",
              getattr,
              r,
              "foo",
          )
          assert_raises_message(
              KeyError,
              "Could not locate column in row for column 'foo'",
              lambda: r["foo"],
          )
  
      def test_graceful_fetch_on_non_rows(self):
          """test that calling fetchone() etc. on a result that doesn't
          return rows fails gracefully.
  
          """
  
          # these proxies don't work with no cursor.description present.
          # so they don't apply to this test at the moment.
          # result.FullyBufferedResultProxy,
          # result.BufferedRowResultProxy,
          # result.BufferedColumnResultProxy
  
          users = self.tables.users
  
          conn = testing.db.connect()
          for meth in [
              lambda r: r.fetchone(),
              lambda r: r.fetchall(),
              lambda r: r.first(),
              lambda r: r.scalar(),
              lambda r: r.fetchmany(),
              lambda r: r._getter("user"),
              lambda r: r._has_key("user"),
          ]:
              trans = conn.begin()
              result = conn.execute(users.insert(), user_id=1)
              assert_raises_message(
                  exc.ResourceClosedError,
                  "This result object does not return rows. "
                  "It has been closed automatically.",
                  meth,
                  result,
              )
              trans.rollback()
  
      def test_fetchone_til_end(self):
          result = testing.db.execute("select * from users")
          eq_(result.fetchone(), None)
          eq_(result.fetchone(), None)
          eq_(result.fetchone(), None)
          result.close()
          assert_raises_message(
              exc.ResourceClosedError,
              "This result object is closed.",
              result.fetchone,
          )
  
      def test_connectionless_autoclose_rows_exhausted(self):
          users = self.tables.users
          users.insert().execute(dict(user_id=1, user_name="john"))
  
          result = testing.db.execute("select * from users")
          connection = result.connection
          assert not connection.closed
          eq_(result.fetchone(), (1, "john"))
          assert not connection.closed
          eq_(result.fetchone(), None)
          assert connection.closed
  
      @testing.requires.returning
      def test_connectionless_autoclose_crud_rows_exhausted(self):
          users = self.tables.users
          stmt = (
              users.insert()
              .values(user_id=1, user_name="john")
              .returning(users.c.user_id)
          )
          result = testing.db.execute(stmt)
          connection = result.connection
          assert not connection.closed
          eq_(result.fetchone(), (1,))
          assert not connection.closed
          eq_(result.fetchone(), None)
          assert connection.closed
  
      def test_connectionless_autoclose_no_rows(self):
          result = testing.db.execute("select * from users")
          connection = result.connection
          assert not connection.closed
          eq_(result.fetchone(), None)
          assert connection.closed
  
      @testing.requires.updateable_autoincrement_pks
      def test_connectionless_autoclose_no_metadata(self):
          result = testing.db.execute("update users set user_id=5")
          connection = result.connection
          assert connection.closed
          assert_raises_message(
              exc.ResourceClosedError,
              "This result object does not return rows.",
              result.fetchone,
          )
  
      def test_row_case_sensitive(self):
          row = testing.db.execute(
              select(
                  [
                      literal_column("1").label("case_insensitive"),
                      literal_column("2").label("CaseSensitive"),
                  ]
              )
          ).first()
  
          eq_(list(row.keys()), ["case_insensitive", "CaseSensitive"])
  
          in_("case_insensitive", row._keymap)
          in_("CaseSensitive", row._keymap)
          not_in_("casesensitive", row._keymap)
  
          eq_(row["case_insensitive"], 1)
          eq_(row["CaseSensitive"], 2)
  
          assert_raises(KeyError, lambda: row["Case_insensitive"])
          assert_raises(KeyError, lambda: row["casesensitive"])
  
      def test_row_case_sensitive_unoptimized(self):
          ins_db = engines.testing_engine(options={"case_sensitive": True})
          row = ins_db.execute(
              select(
                  [
                      literal_column("1").label("case_insensitive"),
                      literal_column("2").label("CaseSensitive"),
                      text("3 AS screw_up_the_cols"),
                  ]
              )
          ).first()
  
          eq_(
              list(row.keys()),
              ["case_insensitive", "CaseSensitive", "screw_up_the_cols"],
          )
  
          in_("case_insensitive", row._keymap)
          in_("CaseSensitive", row._keymap)
          not_in_("casesensitive", row._keymap)
  
          eq_(row["case_insensitive"], 1)
          eq_(row["CaseSensitive"], 2)
          eq_(row["screw_up_the_cols"], 3)
  
          assert_raises(KeyError, lambda: row["Case_insensitive"])
          assert_raises(KeyError, lambda: row["casesensitive"])
          assert_raises(KeyError, lambda: row["screw_UP_the_cols"])
  
      def test_row_case_insensitive(self):
          ins_db = engines.testing_engine(options={"case_sensitive": False})
          row = ins_db.execute(
              select(
                  [
                      literal_column("1").label("case_insensitive"),
                      literal_column("2").label("CaseSensitive"),
                  ]
              )
          ).first()
  
          eq_(list(row.keys()), ["case_insensitive", "CaseSensitive"])
  
          in_("case_insensitive", row._keymap)
          in_("CaseSensitive", row._keymap)
          in_("casesensitive", row._keymap)
  
          eq_(row["case_insensitive"], 1)
          eq_(row["CaseSensitive"], 2)
          eq_(row["Case_insensitive"], 1)
          eq_(row["casesensitive"], 2)
  
      def test_row_case_insensitive_unoptimized(self):
          ins_db = engines.testing_engine(options={"case_sensitive": False})
          row = ins_db.execute(
              select(
                  [
                      literal_column("1").label("case_insensitive"),
                      literal_column("2").label("CaseSensitive"),
                      text("3 AS screw_up_the_cols"),
                  ]
              )
          ).first()
  
          eq_(
              list(row.keys()),
              ["case_insensitive", "CaseSensitive", "screw_up_the_cols"],
          )
  
          in_("case_insensitive", row._keymap)
          in_("CaseSensitive", row._keymap)
          in_("casesensitive", row._keymap)
  
          eq_(row["case_insensitive"], 1)
          eq_(row["CaseSensitive"], 2)
          eq_(row["screw_up_the_cols"], 3)
          eq_(row["Case_insensitive"], 1)
          eq_(row["casesensitive"], 2)
          eq_(row["screw_UP_the_cols"], 3)
  
      def test_row_as_args(self):
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="john")
          r = users.select(users.c.user_id == 1).execute().first()
          users.delete().execute()
          users.insert().execute(r)
          eq_(users.select().execute().fetchall(), [(1, "john")])
  
      def test_result_as_args(self):
          users = self.tables.users
          users2 = self.tables.users2
  
          users.insert().execute(
              [
                  dict(user_id=1, user_name="john"),
                  dict(user_id=2, user_name="ed"),
              ]
          )
          r = users.select().execute()
          users2.insert().execute(list(r))
          eq_(
              users2.select().order_by(users2.c.user_id).execute().fetchall(),
              [(1, "john"), (2, "ed")],
          )
  
          users2.delete().execute()
          r = users.select().execute()
          users2.insert().execute(*list(r))
          eq_(
              users2.select().order_by(users2.c.user_id).execute().fetchall(),
              [(1, "john"), (2, "ed")],
          )
  
      @testing.requires.duplicate_names_in_cursor_description
      def test_ambiguous_column(self):
          users = self.tables.users
          addresses = self.tables.addresses
  
          users.insert().execute(user_id=1, user_name="john")
          result = users.outerjoin(addresses).select().execute()
          r = result.first()
  
          assert_raises_message(
              exc.InvalidRequestError,
              "Ambiguous column name",
              lambda: r["user_id"],
          )
  
          # pure positional targeting; users.c.user_id
          # and addresses.c.user_id are known!
          # works as of 1.1 issue #3501
          eq_(r[users.c.user_id], 1)
          eq_(r[addresses.c.user_id], None)
  
          # try to trick it - fake_table isn't in the result!
          # we get the correct error
          fake_table = Table("fake", MetaData(), Column("user_id", Integer))
          assert_raises_message(
              exc.InvalidRequestError,
              "Could not locate column in row for column 'fake.user_id'",
              lambda: r[fake_table.c.user_id],
          )
  
          r = util.pickle.loads(util.pickle.dumps(r))
          assert_raises_message(
              exc.InvalidRequestError,
              "Ambiguous column name",
              lambda: r["user_id"],
          )
  
          result = users.outerjoin(addresses).select().execute()
          result = _result.BufferedColumnResultProxy(result.context)
          r = result.first()
          assert isinstance(r, _result.BufferedColumnRow)
          assert_raises_message(
              exc.InvalidRequestError,
              "Ambiguous column name",
              lambda: r["user_id"],
          )
  
      @testing.requires.duplicate_names_in_cursor_description
      def test_ambiguous_column_by_col(self):
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="john")
          ua = users.alias()
          u2 = users.alias()
          result = select([users.c.user_id, ua.c.user_id]).execute()
          row = result.first()
  
          # as of 1.1 issue #3501, we use pure positional
          # targeting for the column objects here
          eq_(row[users.c.user_id], 1)
  
          eq_(row[ua.c.user_id], 1)
  
          # this now works as of 1.1 issue #3501;
          # previously this was stuck on "ambiguous column name"
          assert_raises_message(
              exc.InvalidRequestError,
              "Could not locate column in row",
              lambda: row[u2.c.user_id],
          )
  
      @testing.requires.duplicate_names_in_cursor_description
      def test_ambiguous_column_case_sensitive(self):
          eng = engines.testing_engine(options=dict(case_sensitive=False))
  
          row = eng.execute(
              select(
                  [
                      literal_column("1").label("SOMECOL"),
                      literal_column("1").label("SOMECOL"),
                  ]
              )
          ).first()
  
          assert_raises_message(
              exc.InvalidRequestError,
              "Ambiguous column name",
              lambda: row["somecol"],
          )
  
      @testing.requires.duplicate_names_in_cursor_description
      def test_ambiguous_column_contains(self):
          users = self.tables.users
          addresses = self.tables.addresses
  
          # ticket 2702.  in 0.7 we'd get True, False.
          # in 0.8, both columns are present so it's True;
          # but when they're fetched you'll get the ambiguous error.
          users.insert().execute(user_id=1, user_name="john")
          result = (
              select([users.c.user_id, addresses.c.user_id])
              .select_from(users.outerjoin(addresses))
              .execute()
          )
          row = result.first()
  
          eq_(
              set([users.c.user_id in row, addresses.c.user_id in row]),
              set([True]),
          )
  
      def test_ambiguous_column_by_col_plus_label(self):
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="john")
          result = select(
              [
                  users.c.user_id,
                  type_coerce(users.c.user_id, Integer).label("foo"),
              ]
          ).execute()
          row = result.first()
          eq_(row[users.c.user_id], 1)
          eq_(row[1], 1)
  
      def test_fetch_partial_result_map(self):
          users = self.tables.users
  
          users.insert().execute(user_id=7, user_name="ed")
  
          t = text("select * from users").columns(user_name=String())
          eq_(testing.db.execute(t).fetchall(), [(7, "ed")])
  
      def test_fetch_unordered_result_map(self):
          users = self.tables.users
  
          users.insert().execute(user_id=7, user_name="ed")
  
          class Goofy1(TypeDecorator):
              impl = String
  
              def process_result_value(self, value, dialect):
                  return value + "a"
  
          class Goofy2(TypeDecorator):
              impl = String
  
              def process_result_value(self, value, dialect):
                  return value + "b"
  
          class Goofy3(TypeDecorator):
              impl = String
  
              def process_result_value(self, value, dialect):
                  return value + "c"
  
          t = text(
              "select user_name as a, user_name as b, "
              "user_name as c from users"
          ).columns(a=Goofy1(), b=Goofy2(), c=Goofy3())
          eq_(testing.db.execute(t).fetchall(), [("eda", "edb", "edc")])
  
      @testing.requires.subqueries
      def test_column_label_targeting(self):
          users = self.tables.users
  
          users.insert().execute(user_id=7, user_name="ed")
  
          for s in (
              users.select().alias("foo"),
              users.select().alias(users.name),
          ):
              row = s.select(use_labels=True).execute().first()
              eq_(row[s.c.user_id], 7)
              eq_(row[s.c.user_name], "ed")
  
      def test_keys(self):
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="foo")
          result = users.select().execute()
          eq_(result.keys(), ["user_id", "user_name"])
          row = result.first()
          eq_(row.keys(), ["user_id", "user_name"])
  
      def test_keys_anon_labels(self):
          """test [ticket:3483]"""
  
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="foo")
          result = testing.db.execute(
              select(
                  [
                      users.c.user_id,
                      users.c.user_name.label(None),
                      func.count(literal_column("1")),
                  ]
              ).group_by(users.c.user_id, users.c.user_name)
          )
  
          eq_(result.keys(), ["user_id", "user_name_1", "count_1"])
          row = result.first()
          eq_(row.keys(), ["user_id", "user_name_1", "count_1"])
  
      def test_items(self):
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="foo")
          r = users.select().execute().first()
          eq_(
              [(x[0].lower(), x[1]) for x in list(r.items())],
              [("user_id", 1), ("user_name", "foo")],
          )
  
      def test_len(self):
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="foo")
          r = users.select().execute().first()
          eq_(len(r), 2)
  
          r = testing.db.execute("select user_name, user_id from users").first()
          eq_(len(r), 2)
          r = testing.db.execute("select user_name from users").first()
          eq_(len(r), 1)
  
      def test_sorting_in_python(self):
          users = self.tables.users
  
          users.insert().execute(
              dict(user_id=1, user_name="foo"),
              dict(user_id=2, user_name="bar"),
              dict(user_id=3, user_name="def"),
          )
  
          rows = users.select().order_by(users.c.user_name).execute().fetchall()
  
          eq_(rows, [(2, "bar"), (3, "def"), (1, "foo")])
  
          eq_(sorted(rows), [(1, "foo"), (2, "bar"), (3, "def")])
  
      def test_column_order_with_simple_query(self):
          # should return values in column definition order
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="foo")
          r = users.select(users.c.user_id == 1).execute().first()
          eq_(r[0], 1)
          eq_(r[1], "foo")
          eq_([x.lower() for x in list(r.keys())], ["user_id", "user_name"])
          eq_(list(r.values()), [1, "foo"])
  
      def test_column_order_with_text_query(self):
          # should return values in query order
          users = self.tables.users
  
          users.insert().execute(user_id=1, user_name="foo")
          r = testing.db.execute("select user_name, user_id from users").first()
          eq_(r[0], "foo")
          eq_(r[1], 1)
          eq_([x.lower() for x in list(r.keys())], ["user_name", "user_id"])
          eq_(list(r.values()), ["foo", 1])
  
      @testing.crashes("oracle", "FIXME: unknown, varify not fails_on()")
      @testing.crashes("firebird", "An identifier must begin with a letter")
      @testing.provide_metadata
      def test_column_accessor_shadow(self):
          shadowed = Table(
              "test_shadowed",
              self.metadata,
              Column("shadow_id", INT, primary_key=True),
              Column("shadow_name", VARCHAR(20)),
              Column("parent", VARCHAR(20)),
              Column("row", VARCHAR(40)),
              Column("_parent", VARCHAR(20)),
              Column("_row", VARCHAR(20)),
          )
          self.metadata.create_all()
          shadowed.insert().execute(
              shadow_id=1,
              shadow_name="The Shadow",
              parent="The Light",
              row="Without light there is no shadow",
              _parent="Hidden parent",
              _row="Hidden row",
          )
          r = shadowed.select(shadowed.c.shadow_id == 1).execute().first()
  
          eq_(r.shadow_id, 1)
          eq_(r["shadow_id"], 1)
          eq_(r[shadowed.c.shadow_id], 1)
  
          eq_(r.shadow_name, "The Shadow")
          eq_(r["shadow_name"], "The Shadow")
          eq_(r[shadowed.c.shadow_name], "The Shadow")
  
          eq_(r.parent, "The Light")
          eq_(r["parent"], "The Light")
          eq_(r[shadowed.c.parent], "The Light")
  
          eq_(r.row, "Without light there is no shadow")
          eq_(r["row"], "Without light there is no shadow")
          eq_(r[shadowed.c.row], "Without light there is no shadow")
  
          eq_(r["_parent"], "Hidden parent")
          eq_(r["_row"], "Hidden row")
  
      def test_nontuple_row(self):
          """ensure the C version of BaseRowProxy handles
          duck-type-dependent rows."""
  
          from sqlalchemy.engine import RowProxy
  
          class MyList(object):
              def __init__(self, data):
                  self.internal_list = data
  
              def __len__(self):
                  return len(self.internal_list)
  
              def __getitem__(self, i):
                  return list.__getitem__(self.internal_list, i)
  
          proxy = RowProxy(
              object(),
              MyList(["value"]),
              [None],
              {"key": (None, None, 0), 0: (None, None, 0)},
          )
          eq_(list(proxy), ["value"])
          eq_(proxy[0], "value")
          eq_(proxy["key"], "value")
  
      @testing.provide_metadata
      def test_no_rowcount_on_selects_inserts(self):
          """assert that rowcount is only called on deletes and updates.
  
          This because cursor.rowcount may can be expensive on some dialects
          such as Firebird, however many dialects require it be called
          before the cursor is closed.
  
          """
  
          metadata = self.metadata
  
          engine = engines.testing_engine()
  
          t = Table("t1", metadata, Column("data", String(10)))
          metadata.create_all(engine)
  
          with patch.object(
              engine.dialect.execution_ctx_cls, "rowcount"
          ) as mock_rowcount:
              mock_rowcount.__get__ = Mock()
              engine.execute(
                  t.insert(), {"data": "d1"}, {"data": "d2"}, {"data": "d3"}
              )
  
              eq_(len(mock_rowcount.__get__.mock_calls), 0)
  
              eq_(
                  engine.execute(t.select()).fetchall(),
                  [("d1",), ("d2",), ("d3",)],
              )
              eq_(len(mock_rowcount.__get__.mock_calls), 0)
  
              engine.execute(t.update(), {"data": "d4"})
  
              eq_(len(mock_rowcount.__get__.mock_calls), 1)
  
              engine.execute(t.delete())
              eq_(len(mock_rowcount.__get__.mock_calls), 2)
  
      def test_rowproxy_is_sequence(self):
          from sqlalchemy.util import collections_abc
          from sqlalchemy.engine import RowProxy
  
          row = RowProxy(
              object(),
              ["value"],
              [None],
              {"key": (None, None, 0), 0: (None, None, 0)},
          )
          assert isinstance(row, collections_abc.Sequence)
  
      @testing.provide_metadata
      def test_rowproxy_getitem_indexes_compiled(self):
          values = Table(
              "rp",
              self.metadata,
              Column("key", String(10), primary_key=True),
              Column("value", String(10)),
          )
          values.create()
  
          testing.db.execute(values.insert(), dict(key="One", value="Uno"))
          row = testing.db.execute(values.select()).first()
          eq_(row["key"], "One")
          eq_(row["value"], "Uno")
          eq_(row[0], "One")
          eq_(row[1], "Uno")
          eq_(row[-2], "One")
          eq_(row[-1], "Uno")
          eq_(row[1:0:-1], ("Uno",))
  
      @testing.only_on("sqlite")
      def test_rowproxy_getitem_indexes_raw(self):
          row = testing.db.execute("select 'One' as key, 'Uno' as value").first()
          eq_(row["key"], "One")
          eq_(row["value"], "Uno")
          eq_(row[0], "One")
          eq_(row[1], "Uno")
          eq_(row[-2], "One")
          eq_(row[-1], "Uno")
          eq_(row[1:0:-1], ("Uno",))
  
      @testing.requires.cextensions
      def test_row_c_sequence_check(self):
          import csv
  
          metadata = MetaData()
          metadata.bind = "sqlite://"
          users = Table(
              "users",
              metadata,
              Column("id", Integer, primary_key=True),
              Column("name", String(40)),
          )
          users.create()
  
          users.insert().execute(name="Test")
          row = users.select().execute().fetchone()
  
          s = util.StringIO()
          writer = csv.writer(s)
          # csv performs PySequenceCheck call
          writer.writerow(row)
          assert s.getvalue().strip() == "1,Test"
  
      @testing.requires.selectone
      def test_empty_accessors(self):
          statements = [
              (
                  "select 1",
                  [
                      lambda r: r.last_inserted_params(),
                      lambda r: r.last_updated_params(),
                      lambda r: r.prefetch_cols(),
                      lambda r: r.postfetch_cols(),
                      lambda r: r.inserted_primary_key,
                  ],
                  "Statement is not a compiled expression construct.",
              ),
              (
                  select([1]),
                  [
                      lambda r: r.last_inserted_params(),
                      lambda r: r.inserted_primary_key,
                  ],
                  r"Statement is not an insert\(\) expression construct.",
              ),
              (
                  select([1]),
                  [lambda r: r.last_updated_params()],
                  r"Statement is not an update\(\) expression construct.",
              ),
              (
                  select([1]),
                  [lambda r: r.prefetch_cols(), lambda r: r.postfetch_cols()],
                  r"Statement is not an insert\(\) "
                  r"or update\(\) expression construct.",
              ),
          ]
  
          for stmt, meths, msg in statements:
              r = testing.db.execute(stmt)
              try:
                  for meth in meths:
                      assert_raises_message(
                          sa_exc.InvalidRequestError, msg, meth, r
                      )
  
              finally:
                  r.close()
  
  
  class KeyTargetingTest(fixtures.TablesTest):
      run_inserts = "once"
      run_deletes = None
      __backend__ = True
  
      @classmethod
      def define_tables(cls, metadata):
          Table(
              "keyed1",
              metadata,
              Column("a", CHAR(2), key="b"),
              Column("c", CHAR(2), key="q"),
          )
          Table("keyed2", metadata, Column("a", CHAR(2)), Column("b", CHAR(2)))
          Table("keyed3", metadata, Column("a", CHAR(2)), Column("d", CHAR(2)))
          Table("keyed4", metadata, Column("b", CHAR(2)), Column("q", CHAR(2)))
          Table("content", metadata, Column("t", String(30), key="type"))
          Table("bar", metadata, Column("ctype", String(30), key="content_type"))
  
          if testing.requires.schemas.enabled:
              Table(
                  "wschema",
                  metadata,
                  Column("a", CHAR(2), key="b"),
                  Column("c", CHAR(2), key="q"),
                  schema=testing.config.test_schema,
              )
  
      @classmethod
      def insert_data(cls):
          cls.tables.keyed1.insert().execute(dict(b="a1", q="c1"))
          cls.tables.keyed2.insert().execute(dict(a="a2", b="b2"))
          cls.tables.keyed3.insert().execute(dict(a="a3", d="d3"))
          cls.tables.keyed4.insert().execute(dict(b="b4", q="q4"))
          cls.tables.content.insert().execute(type="t1")
  
          if testing.requires.schemas.enabled:
              cls.tables[
                  "%s.wschema" % testing.config.test_schema
              ].insert().execute(dict(b="a1", q="c1"))
  
      @testing.requires.schemas
      def test_keyed_accessor_wschema(self):
          keyed1 = self.tables["%s.wschema" % testing.config.test_schema]
          row = testing.db.execute(keyed1.select()).first()
  
          eq_(row.b, "a1")
          eq_(row.q, "c1")
          eq_(row.a, "a1")
          eq_(row.c, "c1")
  
      def test_keyed_accessor_single(self):
          keyed1 = self.tables.keyed1
          row = testing.db.execute(keyed1.select()).first()
  
          eq_(row.b, "a1")
          eq_(row.q, "c1")
          eq_(row.a, "a1")
          eq_(row.c, "c1")
  
      def test_keyed_accessor_single_labeled(self):
          keyed1 = self.tables.keyed1
          row = testing.db.execute(keyed1.select().apply_labels()).first()
  
          eq_(row.keyed1_b, "a1")
          eq_(row.keyed1_q, "c1")
          eq_(row.keyed1_a, "a1")
          eq_(row.keyed1_c, "c1")
  
      @testing.requires.duplicate_names_in_cursor_description
      def test_keyed_accessor_composite_conflict_2(self):
          keyed1 = self.tables.keyed1
          keyed2 = self.tables.keyed2
  
          row = testing.db.execute(select([keyed1, keyed2])).first()
          # row.b is unambiguous
          eq_(row.b, "b2")
          # row.a is ambiguous
          assert_raises_message(
              exc.InvalidRequestError, "Ambig", getattr, row, "a"
          )
  
      def test_keyed_accessor_composite_names_precedent(self):
          keyed1 = self.tables.keyed1
          keyed4 = self.tables.keyed4
  
          row = testing.db.execute(select([keyed1, keyed4])).first()
          eq_(row.b, "b4")
          eq_(row.q, "q4")
          eq_(row.a, "a1")
          eq_(row.c, "c1")
  
      @testing.requires.duplicate_names_in_cursor_description
      def test_keyed_accessor_composite_keys_precedent(self):
          keyed1 = self.tables.keyed1
          keyed3 = self.tables.keyed3
  
          row = testing.db.execute(select([keyed1, keyed3])).first()
          eq_(row.q, "c1")
          assert_raises_message(
              exc.InvalidRequestError,
              "Ambiguous column name 'a'",
              getattr,
              row,
              "b",
          )
          assert_raises_message(
              exc.InvalidRequestError,
              "Ambiguous column name 'a'",
              getattr,
              row,
              "a",
          )
          eq_(row.d, "d3")
  
      def test_keyed_accessor_composite_labeled(self):
          keyed1 = self.tables.keyed1
          keyed2 = self.tables.keyed2
  
          row = testing.db.execute(
              select([keyed1, keyed2]).apply_labels()
          ).first()
          eq_(row.keyed1_b, "a1")
          eq_(row.keyed1_a, "a1")
          eq_(row.keyed1_q, "c1")
          eq_(row.keyed1_c, "c1")
          eq_(row.keyed2_a, "a2")
          eq_(row.keyed2_b, "b2")
          assert_raises(KeyError, lambda: row["keyed2_c"])
          assert_raises(KeyError, lambda: row["keyed2_q"])
  
      def test_column_label_overlap_fallback(self):
          content, bar = self.tables.content, self.tables.bar
          row = testing.db.execute(
              select([content.c.type.label("content_type")])
          ).first()
  
          not_in_(content.c.type, row)
          not_in_(bar.c.content_type, row)
  
          in_(sql.column("content_type"), row)
  
          row = testing.db.execute(
              select([func.now().label("content_type")])
          ).first()
          not_in_(content.c.type, row)
          not_in_(bar.c.content_type, row)
          in_(sql.column("content_type"), row)
  
      def test_column_label_overlap_fallback_2(self):
          content, bar = self.tables.content, self.tables.bar
          row = testing.db.execute(content.select(use_labels=True)).first()
          in_(content.c.type, row)
          not_in_(bar.c.content_type, row)
          not_in_(sql.column("content_type"), row)
  
      def test_columnclause_schema_column_one(self):
          keyed2 = self.tables.keyed2
  
          # this is addressed by [ticket:2932]
          # ColumnClause._compare_name_for_result allows the
          # columns which the statement is against to be lightweight
          # cols, which results in a more liberal comparison scheme
          a, b = sql.column("a"), sql.column("b")
          stmt = select([a, b]).select_from(table("keyed2"))
          row = testing.db.execute(stmt).first()
  
          in_(keyed2.c.a, row)
          in_(keyed2.c.b, row)
          in_(a, row)
          in_(b, row)
  
      def test_columnclause_schema_column_two(self):
          keyed2 = self.tables.keyed2
  
          a, b = sql.column("a"), sql.column("b")
          stmt = select([keyed2.c.a, keyed2.c.b])
          row = testing.db.execute(stmt).first()
  
          in_(keyed2.c.a, row)
          in_(keyed2.c.b, row)
          in_(a, row)
          in_(b, row)
  
      def test_columnclause_schema_column_three(self):
          keyed2 = self.tables.keyed2
  
          # this is also addressed by [ticket:2932]
  
          a, b = sql.column("a"), sql.column("b")
          stmt = text("select a, b from keyed2").columns(a=CHAR, b=CHAR)
          row = testing.db.execute(stmt).first()
  
          in_(keyed2.c.a, row)
          in_(keyed2.c.b, row)
          in_(a, row)
          in_(b, row)
          in_(stmt.c.a, row)
          in_(stmt.c.b, row)
  
      def test_columnclause_schema_column_four(self):
          keyed2 = self.tables.keyed2
  
          # this is also addressed by [ticket:2932]
  
          a, b = sql.column("keyed2_a"), sql.column("keyed2_b")
          stmt = text("select a AS keyed2_a, b AS keyed2_b from keyed2").columns(
              a, b
          )
          row = testing.db.execute(stmt).first()
  
          in_(keyed2.c.a, row)
          in_(keyed2.c.b, row)
          in_(a, row)
          in_(b, row)
          in_(stmt.c.keyed2_a, row)
          in_(stmt.c.keyed2_b, row)
  
      def test_columnclause_schema_column_five(self):
          keyed2 = self.tables.keyed2
  
          # this is also addressed by [ticket:2932]
  
          stmt = text("select a AS keyed2_a, b AS keyed2_b from keyed2").columns(
              keyed2_a=CHAR, keyed2_b=CHAR
          )
          row = testing.db.execute(stmt).first()
  
          in_(keyed2.c.a, row)
          in_(keyed2.c.b, row)
          in_(stmt.c.keyed2_a, row)
          in_(stmt.c.keyed2_b, row)
  
  
  class PositionalTextTest(fixtures.TablesTest):
      run_inserts = "once"
      run_deletes = None
      __backend__ = True
  
      @classmethod
      def define_tables(cls, metadata):
          Table(
              "text1",
              metadata,
              Column("a", CHAR(2)),
              Column("b", CHAR(2)),
              Column("c", CHAR(2)),
              Column("d", CHAR(2)),
          )
  
      @classmethod
      def insert_data(cls):
          cls.tables.text1.insert().execute(
              [dict(a="a1", b="b1", c="c1", d="d1")]
          )
  
      def test_via_column(self):
          c1, c2, c3, c4 = column("q"), column("p"), column("r"), column("d")
          stmt = text("select a, b, c, d from text1").columns(c1, c2, c3, c4)
  
          result = testing.db.execute(stmt)
          row = result.first()
  
          eq_(row[c2], "b1")
          eq_(row[c4], "d1")
          eq_(row[1], "b1")
          eq_(row["b"], "b1")
          eq_(row.keys(), ["a", "b", "c", "d"])
          eq_(row["r"], "c1")
          eq_(row["d"], "d1")
  
      def test_fewer_cols_than_sql_positional(self):
          c1, c2 = column("q"), column("p")
          stmt = text("select a, b, c, d from text1").columns(c1, c2)
  
          # no warning as this can be similar for non-positional
          result = testing.db.execute(stmt)
          row = result.first()
  
          eq_(row[c1], "a1")
          eq_(row["c"], "c1")
  
      def test_fewer_cols_than_sql_non_positional(self):
          c1, c2 = column("a"), column("p")
          stmt = text("select a, b, c, d from text1").columns(c2, c1, d=CHAR)
  
          # no warning as this can be similar for non-positional
          result = testing.db.execute(stmt)
          row = result.first()
  
          # c1 name matches, locates
          eq_(row[c1], "a1")
          eq_(row["c"], "c1")
  
          # c2 name does not match, doesn't locate
          assert_raises_message(
              exc.NoSuchColumnError, "in row for column 'p'", lambda: row[c2]
          )
  
      def test_more_cols_than_sql(self):
          c1, c2, c3, c4 = column("q"), column("p"), column("r"), column("d")
          stmt = text("select a, b from text1").columns(c1, c2, c3, c4)
  
          with assertions.expect_warnings(
              r"Number of columns in textual SQL \(4\) is "
              r"smaller than number of columns requested \(2\)"
          ):
              result = testing.db.execute(stmt)
  
          row = result.first()
          eq_(row[c2], "b1")
  
          assert_raises_message(
              exc.NoSuchColumnError, "in row for column 'r'", lambda: row[c3]
          )
  
      def test_dupe_col_obj(self):
          c1, c2, c3 = column("q"), column("p"), column("r")
          stmt = text("select a, b, c, d from text1").columns(c1, c2, c3, c2)
  
          assert_raises_message(
              exc.InvalidRequestError,
              "Duplicate column expression requested in "
              "textual SQL: <.*.ColumnClause.*; p>",
              testing.db.execute,
              stmt,
          )
  
      def test_anon_aliased_unique(self):
          text1 = self.tables.text1
  
          c1 = text1.c.a.label(None)
          c2 = text1.alias().c.c
          c3 = text1.alias().c.b
          c4 = text1.alias().c.d.label(None)
  
          stmt = text("select a, b, c, d from text1").columns(c1, c2, c3, c4)
          result = testing.db.execute(stmt)
          row = result.first()
  
          eq_(row[c1], "a1")
          eq_(row[c2], "b1")
          eq_(row[c3], "c1")
          eq_(row[c4], "d1")
  
          # key fallback rules still match this to a column
          # unambiguously based on its name
          eq_(row[text1.c.a], "a1")
  
          # key fallback rules still match this to a column
          # unambiguously based on its name
          eq_(row[text1.c.d], "d1")
  
          # text1.c.b goes nowhere....because we hit key fallback
          # but the text1.c.b doesn't derive from text1.c.c
          assert_raises_message(
              exc.NoSuchColumnError,
              "Could not locate column in row for column 'text1.b'",
              lambda: row[text1.c.b],
          )
  
      def test_anon_aliased_overlapping(self):
          text1 = self.tables.text1
  
          c1 = text1.c.a.label(None)
          c2 = text1.alias().c.a
          c3 = text1.alias().c.a.label(None)
          c4 = text1.c.a.label(None)
  
          stmt = text("select a, b, c, d from text1").columns(c1, c2, c3, c4)
          result = testing.db.execute(stmt)
          row = result.first()
  
          eq_(row[c1], "a1")
          eq_(row[c2], "b1")
          eq_(row[c3], "c1")
          eq_(row[c4], "d1")
  
          # key fallback rules still match this to a column
          # unambiguously based on its name
          eq_(row[text1.c.a], "a1")
  
      def test_anon_aliased_name_conflict(self):
          text1 = self.tables.text1
  
          c1 = text1.c.a.label("a")
          c2 = text1.alias().c.a
          c3 = text1.alias().c.a.label("a")
          c4 = text1.c.a.label("a")
  
          # all cols are named "a".  if we are positional, we don't care.
          # this is new logic in 1.1
          stmt = text("select a, b as a, c as a, d as a from text1").columns(
              c1, c2, c3, c4
          )
          result = testing.db.execute(stmt)
          row = result.first()
  
          eq_(row[c1], "a1")
          eq_(row[c2], "b1")
          eq_(row[c3], "c1")
          eq_(row[c4], "d1")
  
          # fails, because we hit key fallback and find conflicts
          # in columns that are presnet
          assert_raises_message(
              exc.NoSuchColumnError,
              "Could not locate column in row for column 'text1.a'",
              lambda: row[text1.c.a],
          )
  
  
  class AlternateResultProxyTest(fixtures.TablesTest):
      __requires__ = ("sqlite",)
  
      @classmethod
      def setup_bind(cls):
          cls.engine = engine = engines.testing_engine("sqlite://")
          return engine
  
      @classmethod
      def define_tables(cls, metadata):
          Table(
              "test",
              metadata,
              Column("x", Integer, primary_key=True),
              Column("y", String(50, convert_unicode="force")),
          )
  
      @classmethod
      def insert_data(cls):
          cls.engine.execute(
              cls.tables.test.insert(),
              [{"x": i, "y": "t_%d" % i} for i in range(1, 12)],
          )
  
      @contextmanager
      def _proxy_fixture(self, cls):
          self.table = self.tables.test
  
          class ExcCtx(default.DefaultExecutionContext):
              def get_result_proxy(self):
                  return cls(self)
  
          self.patcher = patch.object(
              self.engine.dialect, "execution_ctx_cls", ExcCtx
          )
          with self.patcher:
              yield
  
      def _test_proxy(self, cls):
          with self._proxy_fixture(cls):
              rows = []
              r = self.engine.execute(select([self.table]))
              assert isinstance(r, cls)
              for i in range(5):
                  rows.append(r.fetchone())
              eq_(rows, [(i, "t_%d" % i) for i in range(1, 6)])
  
              rows = r.fetchmany(3)
              eq_(rows, [(i, "t_%d" % i) for i in range(6, 9)])
  
              rows = r.fetchall()
              eq_(rows, [(i, "t_%d" % i) for i in range(9, 12)])
  
              r = self.engine.execute(select([self.table]))
              rows = r.fetchmany(None)
              eq_(rows[0], (1, "t_1"))
              # number of rows here could be one, or the whole thing
              assert len(rows) == 1 or len(rows) == 11
  
              r = self.engine.execute(select([self.table]).limit(1))
              r.fetchone()
              eq_(r.fetchone(), None)
  
              r = self.engine.execute(select([self.table]).limit(5))
              rows = r.fetchmany(6)
              eq_(rows, [(i, "t_%d" % i) for i in range(1, 6)])
  
              # result keeps going just fine with blank results...
              eq_(r.fetchmany(2), [])
  
              eq_(r.fetchmany(2), [])
  
              eq_(r.fetchall(), [])
  
              eq_(r.fetchone(), None)
  
              # until we close
              r.close()
  
              self._assert_result_closed(r)
  
              r = self.engine.execute(select([self.table]).limit(5))
              eq_(r.first(), (1, "t_1"))
              self._assert_result_closed(r)
  
              r = self.engine.execute(select([self.table]).limit(5))
              eq_(r.scalar(), 1)
              self._assert_result_closed(r)
  
      def _assert_result_closed(self, r):
          assert_raises_message(
              sa_exc.ResourceClosedError, "object is closed", r.fetchone
          )
  
          assert_raises_message(
              sa_exc.ResourceClosedError, "object is closed", r.fetchmany, 2
          )
  
          assert_raises_message(
              sa_exc.ResourceClosedError, "object is closed", r.fetchall
          )
  
      def test_basic_plain(self):
          self._test_proxy(_result.ResultProxy)
  
      def test_basic_buffered_row_result_proxy(self):
          self._test_proxy(_result.BufferedRowResultProxy)
  
      def test_basic_fully_buffered_result_proxy(self):
          self._test_proxy(_result.FullyBufferedResultProxy)
  
      def test_basic_buffered_column_result_proxy(self):
          self._test_proxy(_result.BufferedColumnResultProxy)
  
      def test_resultprocessor_plain(self):
          self._test_result_processor(_result.ResultProxy, False)
  
      def test_resultprocessor_plain_cached(self):
          self._test_result_processor(_result.ResultProxy, True)
  
      def test_resultprocessor_buffered_column(self):
          self._test_result_processor(_result.BufferedColumnResultProxy, False)
  
      def test_resultprocessor_buffered_column_cached(self):
          self._test_result_processor(_result.BufferedColumnResultProxy, True)
  
      def test_resultprocessor_buffered_row(self):
          self._test_result_processor(_result.BufferedRowResultProxy, False)
  
      def test_resultprocessor_buffered_row_cached(self):
          self._test_result_processor(_result.BufferedRowResultProxy, True)
  
      def test_resultprocessor_fully_buffered(self):
          self._test_result_processor(_result.FullyBufferedResultProxy, False)
  
      def test_resultprocessor_fully_buffered_cached(self):
          self._test_result_processor(_result.FullyBufferedResultProxy, True)
  
      def _test_result_processor(self, cls, use_cache):
          class MyType(TypeDecorator):
              impl = String()
  
              def process_result_value(self, value, dialect):
                  return "HI " + value
  
          with self._proxy_fixture(cls):
              with self.engine.connect() as conn:
                  if use_cache:
                      cache = {}
                      conn = conn.execution_options(compiled_cache=cache)
  
                  stmt = select([literal("THERE", type_=MyType())])
                  for i in range(2):
                      r = conn.execute(stmt)
                      eq_(r.scalar(), "HI THERE")
  
      def test_buffered_row_growth(self):
          with self._proxy_fixture(_result.BufferedRowResultProxy):
              with self.engine.connect() as conn:
                  conn.execute(
                      self.table.insert(),
                      [{"x": i, "y": "t_%d" % i} for i in range(15, 1200)],
                  )
                  result = conn.execute(self.table.select())
                  checks = {0: 5, 1: 10, 9: 20, 135: 250, 274: 500, 1351: 1000}
                  for idx, row in enumerate(result, 0):
                      if idx in checks:
                          eq_(result._bufsize, checks[idx])
                      le_(len(result._BufferedRowResultProxy__rowbuffer), 1000)
  
      def test_max_row_buffer_option(self):
          with self._proxy_fixture(_result.BufferedRowResultProxy):
              with self.engine.connect() as conn:
                  conn.execute(
                      self.table.insert(),
                      [{"x": i, "y": "t_%d" % i} for i in range(15, 1200)],
                  )
                  result = conn.execution_options(max_row_buffer=27).execute(
                      self.table.select()
                  )
                  for idx, row in enumerate(result, 0):
                      if idx in (16, 70, 150, 250):
                          eq_(result._bufsize, 27)
                      le_(len(result._BufferedRowResultProxy__rowbuffer), 27)
  