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https://github.com/sqlalchemy/sqlalchemy.git
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6fccdf4a28
in Iae6ab95938a7e92b6d42086aec534af27b5577d3 I missed that the "bind" was being stuck onto the MetaData in TablesTest, which led thousands of ORM tests to still use bound metadata. Keep looking for bound metadata. standardize all ORM tests on a single means of getting a Session when the Session API isn't the thing we are directly testing, using a new function fixture_session() that replaces create_session() and uses modern defaults. Change-Id: Iaf71206e9ee568151496d8bc213a069504bf65ef
313 lines
9.1 KiB
Python
313 lines
9.1 KiB
Python
import sys
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from sqlalchemy import Column
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from sqlalchemy import create_engine
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from sqlalchemy import Integer
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from sqlalchemy import String
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from sqlalchemy import Table
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from sqlalchemy import testing
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from sqlalchemy import Unicode
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from sqlalchemy.engine.row import LegacyRow
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from sqlalchemy.engine.row import Row
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from sqlalchemy.testing import AssertsExecutionResults
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from sqlalchemy.testing import eq_
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from sqlalchemy.testing import fixtures
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from sqlalchemy.testing import profiling
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from sqlalchemy.util import u
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NUM_FIELDS = 10
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NUM_RECORDS = 1000
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class ResultSetTest(fixtures.TablesTest, AssertsExecutionResults):
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__backend__ = True
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@classmethod
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def define_tables(cls, metadata):
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Table(
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"table1",
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metadata,
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*[
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Column("field%d" % fnum, String(50))
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for fnum in range(NUM_FIELDS)
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]
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)
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Table(
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"table2",
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metadata,
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*[
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Column("field%d" % fnum, Unicode(50))
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for fnum in range(NUM_FIELDS)
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]
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)
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@classmethod
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def insert_data(cls, connection):
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conn = connection
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t, t2 = cls.tables("table1", "table2")
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conn.execute(
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t.insert(),
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[
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dict(
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("field%d" % fnum, u("value%d" % fnum))
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for fnum in range(NUM_FIELDS)
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)
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for r_num in range(NUM_RECORDS)
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],
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)
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conn.execute(
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t2.insert(),
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[
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dict(
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("field%d" % fnum, u("value%d" % fnum))
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for fnum in range(NUM_FIELDS)
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)
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for r_num in range(NUM_RECORDS)
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],
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)
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# warm up type caches
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conn.execute(t.select()).fetchall()
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conn.execute(t2.select()).fetchall()
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conn.exec_driver_sql(
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"SELECT %s FROM table1"
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% (", ".join("field%d" % fnum for fnum in range(NUM_FIELDS)))
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).fetchall()
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conn.exec_driver_sql(
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"SELECT %s FROM table2"
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% (", ".join("field%d" % fnum for fnum in range(NUM_FIELDS)))
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).fetchall()
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@profiling.function_call_count(variance=0.15)
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def test_string(self):
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t, t2 = self.tables("table1", "table2")
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with testing.db.connect().execution_options(
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compiled_cache=None
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) as conn:
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[tuple(row) for row in conn.execute(t.select()).fetchall()]
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@profiling.function_call_count(variance=0.15)
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def test_unicode(self):
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t, t2 = self.tables("table1", "table2")
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with testing.db.connect().execution_options(
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compiled_cache=None
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) as conn:
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[tuple(row) for row in conn.execute(t2.select()).fetchall()]
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@profiling.function_call_count(variance=0.15)
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def test_raw_string(self):
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stmt = "SELECT %s FROM table1" % (
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", ".join("field%d" % fnum for fnum in range(NUM_FIELDS))
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)
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with testing.db.connect() as conn:
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[tuple(row) for row in conn.exec_driver_sql(stmt).fetchall()]
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@profiling.function_call_count(variance=0.15)
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def test_raw_unicode(self):
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stmt = "SELECT %s FROM table2" % (
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", ".join("field%d" % fnum for fnum in range(NUM_FIELDS))
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)
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with testing.db.connect() as conn:
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[tuple(row) for row in conn.exec_driver_sql(stmt).fetchall()]
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@profiling.function_call_count()
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def test_fetch_by_key_legacy(self):
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t, t2 = self.tables("table1", "table2")
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with testing.db.connect().execution_options(
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compiled_cache=None
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) as conn:
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for row in conn.execute(t.select()).fetchall():
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[row["field%d" % fnum] for fnum in range(NUM_FIELDS)]
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@profiling.function_call_count()
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def test_fetch_by_key_mappings(self):
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t, t2 = self.tables("table1", "table2")
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with testing.db.connect().execution_options(
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compiled_cache=None
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) as conn:
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for row in conn.execute(t.select()).mappings().fetchall():
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[row["field%d" % fnum] for fnum in range(NUM_FIELDS)]
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@testing.combinations(
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(False, 0),
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(True, 1),
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(False, 1),
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(False, 2),
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)
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def test_one_or_none(self, one_or_first, rows_present):
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# TODO: this is not testing the ORM level "scalar_mapping"
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# mode which has a different performance profile
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t, t2 = self.tables("table1", "table2")
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with testing.db.connect().execution_options(
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compiled_cache=None
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) as conn:
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stmt = t.select()
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if rows_present == 0:
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stmt = stmt.where(1 == 0)
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elif rows_present == 1:
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stmt = stmt.limit(1)
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result = conn.execute(stmt)
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@profiling.function_call_count()
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def go():
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if one_or_first:
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result.one()
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else:
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result.first()
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try:
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go()
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finally:
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# hmmmm, connection close context manager does not
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# seem to be handling this for a profile that skips
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result.close()
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def test_contains_doesnt_compile(self, connection):
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t, t2 = self.tables("table1", "table2")
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row = connection.execute(t.select()).first()
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c1 = Column("some column", Integer) + Column(
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"some other column", Integer
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)
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@profiling.function_call_count(variance=0.10)
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def go():
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c1 in row
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go()
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class ExecutionTest(fixtures.TestBase):
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__backend__ = True
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def test_minimal_connection_execute(self):
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# create an engine without any instrumentation.
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e = create_engine("sqlite://")
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c = e.connect()
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# ensure initial connect activities complete
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c.exec_driver_sql("select 1")
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@profiling.function_call_count()
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def go():
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c.exec_driver_sql("select 1")
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try:
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go()
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finally:
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c.close()
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def test_minimal_engine_execute(self, variance=0.10):
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# create an engine without any instrumentation.
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e = create_engine("sqlite://")
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# ensure initial connect activities complete
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with e.connect() as conn:
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conn.exec_driver_sql("select 1")
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@profiling.function_call_count()
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def go():
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with e.connect() as conn:
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conn.exec_driver_sql("select 1")
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go()
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class RowTest(fixtures.TestBase):
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__requires__ = ("cpython",)
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__backend__ = True
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def _rowproxy_fixture(self, keys, processors, row, row_cls):
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class MockMeta(object):
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def __init__(self):
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pass
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def _warn_for_nonint(self, arg):
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pass
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metadata = MockMeta()
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keymap = {}
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for index, (keyobjs, values) in enumerate(list(zip(keys, row))):
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for key in keyobjs:
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keymap[key] = (index, key)
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keymap[index] = (index, key)
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return row_cls(
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metadata, processors, keymap, row_cls._default_key_style, row
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)
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def _test_getitem_value_refcounts_legacy(self, seq_factory):
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col1, col2 = object(), object()
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def proc1(value):
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return value
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value1, value2 = "x", "y"
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row = self._rowproxy_fixture(
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[(col1, "a"), (col2, "b")],
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[proc1, None],
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seq_factory([value1, value2]),
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LegacyRow,
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)
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v1_refcount = sys.getrefcount(value1)
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v2_refcount = sys.getrefcount(value2)
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for i in range(10):
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row[col1]
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row["a"]
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row[col2]
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row["b"]
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row[0]
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row[1]
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row[0:2]
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eq_(sys.getrefcount(value1), v1_refcount)
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eq_(sys.getrefcount(value2), v2_refcount)
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def _test_getitem_value_refcounts_new(self, seq_factory):
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col1, col2 = object(), object()
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def proc1(value):
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return value
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value1, value2 = "x", "y"
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row = self._rowproxy_fixture(
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[(col1, "a"), (col2, "b")],
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[proc1, None],
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seq_factory([value1, value2]),
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Row,
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)
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v1_refcount = sys.getrefcount(value1)
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v2_refcount = sys.getrefcount(value2)
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for i in range(10):
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row._mapping[col1]
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row._mapping["a"]
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row._mapping[col2]
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row._mapping["b"]
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row[0]
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row[1]
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row[0:2]
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eq_(sys.getrefcount(value1), v1_refcount)
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eq_(sys.getrefcount(value2), v2_refcount)
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def test_value_refcounts_pure_tuple(self):
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self._test_getitem_value_refcounts_legacy(tuple)
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self._test_getitem_value_refcounts_new(tuple)
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def test_value_refcounts_custom_seq(self):
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class CustomSeq(object):
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def __init__(self, data):
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self.data = data
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def __getitem__(self, item):
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return self.data[item]
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def __iter__(self):
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return iter(self.data)
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self._test_getitem_value_refcounts_legacy(CustomSeq)
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self._test_getitem_value_refcounts_new(CustomSeq)
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