Gecko [ www.foryou-vip.com ]

Name	Size	Permission	Date
audiodata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
capath	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
cjkencodings	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
crashers	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
data	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
decimaltestdata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
dtracedata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
encoded_modules	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
imghdrdata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
leakers	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
libregrtest	[ DIR ]	drwxr-xr-x	2025-06-04 09:21
sndhdrdata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
subprocessdata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
support	[ DIR ]	drwxr-xr-x	2025-06-04 09:21
test_asyncio	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_capi	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_email	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_import	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_importlib	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_json	[ DIR ]	drwxr-xr-x	2025-06-04 09:21
test_peg_generator	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_tools	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_warnings	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
test_zoneinfo	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
tracedmodules	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
typinganndata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
xmltestdata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
ziptestdata	[ DIR ]	drwxr-xr-x	2024-03-19 22:46
Sine-1000Hz-300ms.aif	60.25 KB	-rw-r--r--	2024-03-19 22:46
__init__.py	47 B	-rw-r--r--	2024-03-19 22:46
__main__.py	41 B	-rw-r--r--	2024-03-19 22:46
_test_atexit.py	3.61 KB	-rw-r--r--	2024-03-19 22:46
_test_eintr.py	17.65 KB	-rw-r--r--	2024-03-19 22:46
_test_embed_set_config.py	8.55 KB	-rw-r--r--	2024-03-19 22:46
_test_multiprocessing.py	193.64 KB	-rw-r--r--	2024-03-19 22:46
_typed_dict_helper.py	494 B	-rw-r--r--	2024-03-19 22:46
allsans.pem	9.87 KB	-rw-r--r--	2024-03-19 22:46
ann_module.py	1.09 KB	-rw-r--r--	2024-03-19 22:46
ann_module2.py	519 B	-rw-r--r--	2024-03-19 22:46
ann_module3.py	448 B	-rw-r--r--	2024-03-19 22:46
ann_module4.py	81 B	-rw-r--r--	2024-03-19 22:46
ann_module5.py	202 B	-rw-r--r--	2024-03-19 22:46
ann_module6.py	138 B	-rw-r--r--	2024-03-19 22:46
ann_module7.py	295 B	-rw-r--r--	2024-03-19 22:46
audiotest.au	27.48 KB	-rw-r--r--	2024-03-19 22:46
audiotests.py	12.13 KB	-rw-r--r--	2024-03-19 22:46
audit-tests.py	11.35 KB	-rw-r--r--	2024-03-19 22:46
autotest.py	209 B	-rw-r--r--	2024-03-19 22:46
bad_coding.py	24 B	-rw-r--r--	2024-03-19 22:46
bad_coding2.py	30 B	-rw-r--r--	2024-03-19 22:46
bad_getattr.py	61 B	-rw-r--r--	2024-03-19 22:46
bad_getattr2.py	77 B	-rw-r--r--	2024-03-19 22:46
bad_getattr3.py	139 B	-rw-r--r--	2024-03-19 22:46
badcert.pem	1.88 KB	-rw-r--r--	2024-03-19 22:46
badkey.pem	2.11 KB	-rw-r--r--	2024-03-19 22:46
badsyntax_3131.py	32 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future10.py	95 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future3.py	172 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future4.py	153 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future5.py	184 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future6.py	161 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future7.py	196 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future8.py	122 B	-rw-r--r--	2024-03-19 22:46
badsyntax_future9.py	142 B	-rw-r--r--	2024-03-19 22:46
badsyntax_pep3120.py	14 B	-rw-r--r--	2024-03-19 22:46
bisect_cmd.py	5.21 KB	-rwxr-xr-x	2024-03-19 22:46
cfgparser.1	67 B	-rw-r--r--	2024-03-19 22:46
cfgparser.2	19.02 KB	-rw-r--r--	2024-03-19 22:46
cfgparser.3	1.55 KB	-rw-r--r--	2024-03-19 22:46
clinic.test	94.05 KB	-rw-r--r--	2024-03-19 22:46
cmath_testcases.txt	141.05 KB	-rw-r--r--	2024-03-19 22:46
coding20731.py	22 B	-rw-r--r--	2024-03-19 22:46
curses_tests.py	1.21 KB	-rwxr-xr-x	2024-03-19 22:46
dataclass_module_1.py	837 B	-rw-r--r--	2024-03-19 22:46
dataclass_module_1_str.py	835 B	-rw-r--r--	2024-03-19 22:46
dataclass_module_2.py	756 B	-rw-r--r--	2024-03-19 22:46
dataclass_module_2_str.py	754 B	-rw-r--r--	2024-03-19 22:46
dataclass_textanno.py	126 B	-rw-r--r--	2024-03-19 22:46
datetimetester.py	245.16 KB	-rw-r--r--	2024-03-19 22:46
dis_module.py	76 B	-rw-r--r--	2024-03-19 22:46
doctest_aliases.py	240 B	-rw-r--r--	2024-03-19 22:46
doctest_lineno.py	914 B	-rw-r--r--	2024-03-19 22:46
double_const.py	1.18 KB	-rw-r--r--	2024-03-19 22:46
empty.vbs	70 B	-rw-r--r--	2024-03-19 22:46
exception_hierarchy.txt	1.81 KB	-rw-r--r--	2024-03-19 22:46
ffdh3072.pem	2.16 KB	-rw-r--r--	2024-03-19 22:46
final_a.py	411 B	-rw-r--r--	2024-03-19 22:46
final_b.py	411 B	-rw-r--r--	2024-03-19 22:46
floating_points.txt	15.92 KB	-rw-r--r--	2024-03-19 22:46
fork_wait.py	2.23 KB	-rw-r--r--	2024-03-19 22:46
formatfloat_testcases.txt	7.45 KB	-rw-r--r--	2024-03-19 22:46
future_test1.py	229 B	-rw-r--r--	2024-03-19 22:46
future_test2.py	149 B	-rw-r--r--	2024-03-19 22:46
gdb_sample.py	153 B	-rw-r--r--	2024-03-19 22:46
good_getattr.py	198 B	-rw-r--r--	2024-03-19 22:46
idnsans.pem	9.71 KB	-rw-r--r--	2024-03-19 22:46
ieee754.txt	3.21 KB	-rw-r--r--	2024-03-19 22:46
imp_dummy.py	63 B	-rw-r--r--	2024-03-19 22:46
inspect_fodder.py	1.88 KB	-rw-r--r--	2024-03-19 22:46
inspect_fodder2.py	3.69 KB	-rw-r--r--	2024-03-19 22:46
inspect_stock_annotations.py	509 B	-rw-r--r--	2024-03-19 22:46
inspect_stringized_annotations.py	612 B	-rw-r--r--	2024-03-19 22:46
inspect_stringized_annotations_2.py	60 B	-rw-r--r--	2024-03-19 22:46
keycert.passwd.pem	4.13 KB	-rw-r--r--	2024-03-19 22:46
keycert.pem	3.96 KB	-rw-r--r--	2024-03-19 22:46
keycert2.pem	3.98 KB	-rw-r--r--	2024-03-19 22:46
keycert3.pem	9.23 KB	-rw-r--r--	2024-03-19 22:46
keycert4.pem	9.24 KB	-rw-r--r--	2024-03-19 22:46
keycertecc.pem	5.5 KB	-rw-r--r--	2024-03-19 22:46
list_tests.py	16.65 KB	-rw-r--r--	2024-03-19 22:46
lock_tests.py	30.15 KB	-rw-r--r--	2024-03-19 22:46
mailcap.txt	1.24 KB	-rw-r--r--	2024-03-19 22:46
make_ssl_certs.py	9.25 KB	-rw-r--r--	2024-03-19 22:46
mapping_tests.py	21.83 KB	-rw-r--r--	2024-03-19 22:46
math_testcases.txt	23.19 KB	-rw-r--r--	2024-03-19 22:46
memory_watchdog.py	859 B	-rw-r--r--	2024-03-19 22:46
mime.types	47.37 KB	-rw-r--r--	2024-03-19 22:46
mock_socket.py	3.7 KB	-rw-r--r--	2024-03-19 22:46
mod_generics_cache.py	1.13 KB	-rw-r--r--	2024-03-19 22:46
mp_fork_bomb.py	448 B	-rw-r--r--	2024-03-19 22:46
mp_preload.py	351 B	-rw-r--r--	2024-03-19 22:46
multibytecodec_support.py	14.19 KB	-rw-r--r--	2024-03-19 22:46
nokia.pem	1.88 KB	-rw-r--r--	2024-03-19 22:46
nosan.pem	7.54 KB	-rw-r--r--	2024-03-19 22:46
nullbytecert.pem	5.31 KB	-rw-r--r--	2024-03-19 22:46
nullcert.pem	0 B	-rw-r--r--	2024-03-19 22:46
pickletester.py	141.12 KB	-rw-r--r--	2024-03-19 22:46
profilee.py	2.97 KB	-rw-r--r--	2024-03-19 22:46
pstats.pck	65.05 KB	-rw-r--r--	2024-03-19 22:46
pycacert.pem	5.53 KB	-rw-r--r--	2024-03-19 22:46
pycakey.pem	2.43 KB	-rw-r--r--	2024-03-19 22:46
pyclbr_input.py	648 B	-rw-r--r--	2024-03-19 22:46
pydoc_mod.py	961 B	-rw-r--r--	2024-03-19 22:46
pydocfodder.py	6.18 KB	-rw-r--r--	2024-03-19 22:46
pythoninfo.py	23.52 KB	-rw-r--r--	2024-03-19 22:46
randv2_32.pck	7.34 KB	-rw-r--r--	2024-03-19 22:46
randv2_64.pck	7.19 KB	-rw-r--r--	2024-03-19 22:46
randv3.pck	7.82 KB	-rw-r--r--	2024-03-19 22:46
re_tests.py	25.93 KB	-rwxr-xr-x	2024-03-19 22:46
recursion.tar	516 B	-rw-r--r--	2024-03-19 22:46
regrtest.py	1.26 KB	-rwxr-xr-x	2024-03-19 22:46
relimport.py	27 B	-rw-r--r--	2024-03-19 22:46
reperf.py	538 B	-rw-r--r--	2024-03-19 22:46
revocation.crl	800 B	-rw-r--r--	2024-03-19 22:46
sample_doctest.py	1.02 KB	-rw-r--r--	2024-03-19 22:46
sample_doctest_no_docstrings.py	227 B	-rw-r--r--	2024-03-19 22:46
sample_doctest_no_doctests.py	269 B	-rw-r--r--	2024-03-19 22:46
secp384r1.pem	256 B	-rw-r--r--	2024-03-19 22:46
selfsigned_pythontestdotnet.pem	2.08 KB	-rw-r--r--	2024-03-19 22:46
seq_tests.py	14.87 KB	-rw-r--r--	2024-03-19 22:46
sgml_input.html	8.1 KB	-rw-r--r--	2024-03-19 22:46
signalinterproctester.py	2.74 KB	-rw-r--r--	2024-03-19 22:46
sortperf.py	4.69 KB	-rw-r--r--	2024-03-19 22:46
ssl_cert.pem	1.53 KB	-rw-r--r--	2024-03-19 22:46
ssl_key.passwd.pem	2.59 KB	-rw-r--r--	2024-03-19 22:46
ssl_key.pem	2.43 KB	-rw-r--r--	2024-03-19 22:46
ssl_servers.py	7.11 KB	-rw-r--r--	2024-03-19 22:46
ssltests.py	1.03 KB	-rw-r--r--	2024-03-19 22:46
string_tests.py	68.03 KB	-rw-r--r--	2024-03-19 22:46
talos-2019-0758.pem	1.3 KB	-rw-r--r--	2024-03-19 22:46
test___all__.py	4.54 KB	-rw-r--r--	2024-03-19 22:46
test___future__.py	2.36 KB	-rw-r--r--	2024-03-19 22:46
test__locale.py	7.83 KB	-rw-r--r--	2024-03-19 22:46
test__opcode.py	3.05 KB	-rw-r--r--	2024-03-19 22:46
test__osx_support.py	13.64 KB	-rw-r--r--	2024-03-19 22:46
test__xxsubinterpreters.py	78.94 KB	-rw-r--r--	2024-03-19 22:46
test_abc.py	23.19 KB	-rw-r--r--	2024-03-19 22:46
test_abstract_numbers.py	1.49 KB	-rw-r--r--	2024-03-19 22:46
test_aifc.py	17.77 KB	-rw-r--r--	2024-03-19 22:46
test_argparse.py	181.08 KB	-rw-r--r--	2024-03-19 22:46
test_array.py	55.21 KB	-rwxr-xr-x	2024-03-19 22:46
test_asdl_parser.py	4.44 KB	-rw-r--r--	2024-03-19 22:46
test_ast.py	107.27 KB	-rw-r--r--	2024-03-19 22:46
test_asyncgen.py	46.8 KB	-rw-r--r--	2024-03-19 22:46
test_asynchat.py	9.4 KB	-rw-r--r--	2024-03-19 22:46
test_asyncore.py	26.13 KB	-rw-r--r--	2024-03-19 22:46
test_atexit.py	3.14 KB	-rw-r--r--	2024-03-19 22:46
test_audioop.py	28.24 KB	-rw-r--r--	2024-03-19 22:46
test_audit.py	6.46 KB	-rw-r--r--	2024-03-19 22:46
test_augassign.py	7.68 KB	-rw-r--r--	2024-03-19 22:46
test_base64.py	34.51 KB	-rw-r--r--	2024-03-19 22:46
test_baseexception.py	7.77 KB	-rw-r--r--	2024-03-19 22:46
test_bdb.py	43.63 KB	-rw-r--r--	2024-03-19 22:46
test_bigaddrspace.py	2.83 KB	-rw-r--r--	2024-03-19 22:46
test_bigmem.py	44.78 KB	-rw-r--r--	2024-03-19 22:46
test_binascii.py	19.27 KB	-rw-r--r--	2024-03-19 22:46
test_binhex.py	2.1 KB	-rw-r--r--	2024-03-19 22:46
test_binop.py	14.14 KB	-rw-r--r--	2024-03-19 22:46
test_bisect.py	15.71 KB	-rw-r--r--	2024-03-19 22:46
test_bool.py	12.73 KB	-rw-r--r--	2024-03-19 22:46
test_buffer.py	160.31 KB	-rw-r--r--	2024-03-19 22:46
test_bufio.py	2.58 KB	-rw-r--r--	2024-03-19 22:46
test_builtin.py	85.98 KB	-rw-r--r--	2024-03-19 22:46
test_bytes.py	76.03 KB	-rw-r--r--	2024-03-19 22:46
test_bz2.py	37.23 KB	-rw-r--r--	2024-03-19 22:46
test_c_locale_coercion.py	18.92 KB	-rw-r--r--	2024-03-19 22:46
test_calendar.py	51.02 KB	-rw-r--r--	2024-03-19 22:46
test_call.py	26.23 KB	-rw-r--r--	2024-03-19 22:46
test_cgi.py	22.26 KB	-rw-r--r--	2024-03-19 22:46
test_cgitb.py	2.54 KB	-rw-r--r--	2024-03-19 22:46
test_charmapcodec.py	1.77 KB	-rw-r--r--	2024-03-19 22:46
test_check_c_globals.py	1.02 KB	-rw-r--r--	2024-03-19 22:46
test_class.py	17.41 KB	-rw-r--r--	2024-03-19 22:46
test_clinic.py	43.03 KB	-rw-r--r--	2024-03-19 22:46
test_cmath.py	24.08 KB	-rw-r--r--	2024-03-19 22:46
test_cmd.py	6.1 KB	-rw-r--r--	2024-03-19 22:46
test_cmd_line.py	37.59 KB	-rw-r--r--	2024-03-19 22:46
test_cmd_line_script.py	33.43 KB	-rw-r--r--	2024-03-19 22:46
test_code.py	12.67 KB	-rw-r--r--	2024-03-19 22:46
test_code_module.py	5.53 KB	-rw-r--r--	2024-03-19 22:46
test_codeccallbacks.py	47.43 KB	-rw-r--r--	2024-03-19 22:46
test_codecencodings_cn.py	3.86 KB	-rw-r--r--	2024-03-19 22:46
test_codecencodings_hk.py	701 B	-rw-r--r--	2024-03-19 22:46
test_codecencodings_iso2022.py	3.65 KB	-rw-r--r--	2024-03-19 22:46
test_codecencodings_jp.py	4.79 KB	-rw-r--r--	2024-03-19 22:46
test_codecencodings_kr.py	2.96 KB	-rw-r--r--	2024-03-19 22:46
test_codecencodings_tw.py	681 B	-rw-r--r--	2024-03-19 22:46
test_codecmaps_cn.py	746 B	-rw-r--r--	2024-03-19 22:46
test_codecmaps_hk.py	386 B	-rw-r--r--	2024-03-19 22:46
test_codecmaps_jp.py	1.7 KB	-rw-r--r--	2024-03-19 22:46
test_codecmaps_kr.py	1.16 KB	-rw-r--r--	2024-03-19 22:46
test_codecmaps_tw.py	705 B	-rw-r--r--	2024-03-19 22:46
test_codecs.py	133.35 KB	-rw-r--r--	2024-03-19 22:46
test_codeop.py	9.18 KB	-rw-r--r--	2024-03-19 22:46
test_collections.py	92.15 KB	-rw-r--r--	2024-03-19 22:46
test_colorsys.py	3.83 KB	-rw-r--r--	2024-03-19 22:46
test_compare.py	3.74 KB	-rw-r--r--	2024-03-19 22:46
test_compile.py	46.33 KB	-rw-r--r--	2024-03-19 22:46
test_compileall.py	47.55 KB	-rw-r--r--	2024-03-19 22:46
test_complex.py	32.54 KB	-rw-r--r--	2024-03-19 22:46
test_concurrent_futures.py	56.63 KB	-rw-r--r--	2024-03-19 22:46
test_configparser.py	85.4 KB	-rw-r--r--	2024-03-19 22:46
test_contains.py	3.35 KB	-rw-r--r--	2024-03-19 22:46
test_context.py	30.63 KB	-rw-r--r--	2024-03-19 22:46
test_contextlib.py	36.9 KB	-rw-r--r--	2024-03-19 22:46
test_contextlib_async.py	20.67 KB	-rw-r--r--	2024-03-19 22:46
test_copy.py	26.63 KB	-rw-r--r--	2024-03-19 22:46
test_copyreg.py	4.39 KB	-rw-r--r--	2024-03-19 22:46
test_coroutines.py	63.79 KB	-rw-r--r--	2024-03-19 22:46
test_cprofile.py	6.33 KB	-rw-r--r--	2024-03-19 22:46
test_crashers.py	1.17 KB	-rw-r--r--	2024-03-19 22:46
test_crypt.py	4.14 KB	-rw-r--r--	2024-03-19 22:46
test_csv.py	52.99 KB	-rw-r--r--	2024-03-19 22:46
test_ctypes.py	199 B	-rw-r--r--	2024-03-19 22:46
test_curses.py	46.58 KB	-rw-r--r--	2024-03-19 22:46
test_dataclasses.py	126.75 KB	-rw-r--r--	2024-03-19 22:46
test_datetime.py	2.31 KB	-rw-r--r--	2024-03-19 22:46
test_dbm.py	6.11 KB	-rw-r--r--	2024-03-19 22:46
test_dbm_dumb.py	10.68 KB	-rw-r--r--	2024-03-19 22:46
test_dbm_gnu.py	6.51 KB	-rw-r--r--	2024-03-19 22:46
test_dbm_ndbm.py	5.12 KB	-rw-r--r--	2024-03-19 22:46
test_decimal.py	209.81 KB	-rw-r--r--	2024-03-19 22:46
test_decorators.py	14.42 KB	-rw-r--r--	2024-03-19 22:46
test_defaultdict.py	6.13 KB	-rw-r--r--	2024-03-19 22:46
test_deque.py	33.63 KB	-rw-r--r--	2024-03-19 22:46
test_descr.py	192.65 KB	-rw-r--r--	2024-03-19 22:46
test_descrtut.py	11.57 KB	-rw-r--r--	2024-03-19 22:46
test_devpoll.py	4.44 KB	-rw-r--r--	2024-03-19 22:46
test_dict.py	50.72 KB	-rw-r--r--	2024-03-19 22:46
test_dict_version.py	6.1 KB	-rw-r--r--	2024-03-19 22:46
test_dictcomps.py	5.15 KB	-rw-r--r--	2024-03-19 22:46
test_dictviews.py	13.69 KB	-rw-r--r--	2024-03-19 22:46
test_difflib.py	21.47 KB	-rw-r--r--	2024-03-19 22:46
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Rename

from test import support, seq_tests
import unittest

import gc
import pickle

# For tuple hashes, we normally only run a test to ensure that we get
# the same results across platforms in a handful of cases.  If that's
# so, there's no real point to running more.  Set RUN_ALL_HASH_TESTS to
# run more anyway.  That's usually of real interest only when analyzing,
# or changing, the hash algorithm.  In which case it's usually also
# most useful to set JUST_SHOW_HASH_RESULTS, to see all the results
# instead of wrestling with test "failures".  See the bottom of the
# file for extensive notes on what we're testing here and why.
RUN_ALL_HASH_TESTS = False
JUST_SHOW_HASH_RESULTS = False # if RUN_ALL_HASH_TESTS, just display

class TupleTest(seq_tests.CommonTest):
    type2test = tuple

def test_getitem_error(self):
        t = ()
        msg = "tuple indices must be integers or slices"
        with self.assertRaisesRegex(TypeError, msg):
            t['a']

def test_constructors(self):
        super().test_constructors()
        # calling built-in types without argument must return empty
        self.assertEqual(tuple(), ())
        t0_3 = (0, 1, 2, 3)
        t0_3_bis = tuple(t0_3)
        self.assertTrue(t0_3 is t0_3_bis)
        self.assertEqual(tuple([]), ())
        self.assertEqual(tuple([0, 1, 2, 3]), (0, 1, 2, 3))
        self.assertEqual(tuple(''), ())
        self.assertEqual(tuple('spam'), ('s', 'p', 'a', 'm'))
        self.assertEqual(tuple(x for x in range(10) if x % 2),
                         (1, 3, 5, 7, 9))

def test_keyword_args(self):
        with self.assertRaisesRegex(TypeError, 'keyword argument'):
            tuple(sequence=())

def test_truth(self):
        super().test_truth()
        self.assertTrue(not ())
        self.assertTrue((42, ))

def test_len(self):
        super().test_len()
        self.assertEqual(len(()), 0)
        self.assertEqual(len((0,)), 1)
        self.assertEqual(len((0, 1, 2)), 3)

def test_iadd(self):
        super().test_iadd()
        u = (0, 1)
        u2 = u
        u += (2, 3)
        self.assertTrue(u is not u2)

def test_imul(self):
        super().test_imul()
        u = (0, 1)
        u2 = u
        u *= 3
        self.assertTrue(u is not u2)

def test_tupleresizebug(self):
        # Check that a specific bug in _PyTuple_Resize() is squashed.
        def f():
            for i in range(1000):
                yield i
        self.assertEqual(list(tuple(f())), list(range(1000)))

# We expect tuples whose base components have deterministic hashes to
    # have deterministic hashes too - and, indeed, the same hashes across
    # platforms with hash codes of the same bit width.
    def test_hash_exact(self):
        def check_one_exact(t, e32, e64):
            got = hash(t)
            expected = e32 if support.NHASHBITS == 32 else e64
            if got != expected:
                msg = f"FAIL hash({t!r}) == {got} != {expected}"
                self.fail(msg)

check_one_exact((), 750394483, 5740354900026072187)
        check_one_exact((0,), 1214856301, -8753497827991233192)
        check_one_exact((0, 0), -168982784, -8458139203682520985)
        check_one_exact((0.5,), 2077348973, -408149959306781352)
        check_one_exact((0.5, (), (-2, 3, (4, 6))), 714642271,
                        -1845940830829704396)

# Various tests for hashing of tuples to check that we get few collisions.
    # Does something only if RUN_ALL_HASH_TESTS is true.
    #
    # Earlier versions of the tuple hash algorithm had massive collisions
    # reported at:
    # - https://bugs.python.org/issue942952
    # - https://bugs.python.org/issue34751
    def test_hash_optional(self):
        from itertools import product

if not RUN_ALL_HASH_TESTS:
            return

# If specified, `expected` is a 2-tuple of expected
        # (number_of_collisions, pileup) values, and the test fails if
        # those aren't the values we get.  Also if specified, the test
        # fails if z > `zlimit`.
        def tryone_inner(tag, nbins, hashes, expected=None, zlimit=None):
            from collections import Counter

nballs = len(hashes)
            mean, sdev = support.collision_stats(nbins, nballs)
            c = Counter(hashes)
            collisions = nballs - len(c)
            z = (collisions - mean) / sdev
            pileup = max(c.values()) - 1
            del c
            got = (collisions, pileup)
            failed = False
            prefix = ""
            if zlimit is not None and z > zlimit:
                failed = True
                prefix = f"FAIL z > {zlimit}; "
            if expected is not None and got != expected:
                failed = True
                prefix += f"FAIL {got} != {expected}; "
            if failed or JUST_SHOW_HASH_RESULTS:
                msg = f"{prefix}{tag}; pileup {pileup:,} mean {mean:.1f} "
                msg += f"coll {collisions:,} z {z:+.1f}"
                if JUST_SHOW_HASH_RESULTS:
                    import sys
                    print(msg, file=sys.__stdout__)
                else:
                    self.fail(msg)

def tryone(tag, xs,
                   native32=None, native64=None, hi32=None, lo32=None,
                   zlimit=None):
            NHASHBITS = support.NHASHBITS
            hashes = list(map(hash, xs))
            tryone_inner(tag + f"; {NHASHBITS}-bit hash codes",
                         1 << NHASHBITS,
                         hashes,
                         native32 if NHASHBITS == 32 else native64,
                         zlimit)

if NHASHBITS > 32:
                shift = NHASHBITS - 32
                tryone_inner(tag + "; 32-bit upper hash codes",
                             1 << 32,
                             [h >> shift for h in hashes],
                             hi32,
                             zlimit)

mask = (1 << 32) - 1
                tryone_inner(tag + "; 32-bit lower hash codes",
                             1 << 32,
                             [h & mask for h in hashes],
                             lo32,
                             zlimit)

# Tuples of smallish positive integers are common - nice if we
        # get "better than random" for these.
        tryone("range(100) by 3", list(product(range(100), repeat=3)),
               (0, 0), (0, 0), (4, 1), (0, 0))

# A previous hash had systematic problems when mixing integers of
        # similar magnitude but opposite sign, obscurely related to that
        # j ^ -2 == -j when j is odd.
        cands = list(range(-10, -1)) + list(range(9))

# Note:  -1 is omitted because hash(-1) == hash(-2) == -2, and
        # there's nothing the tuple hash can do to avoid collisions
        # inherited from collisions in the tuple components' hashes.
        tryone("-10 .. 8 by 4", list(product(cands, repeat=4)),
               (0, 0), (0, 0), (0, 0), (0, 0))
        del cands

# The hashes here are a weird mix of values where all the
        # variation is in the lowest bits and across a single high-order
        # bit - the middle bits are all zeroes. A decent hash has to
        # both propagate low bits to the left and high bits to the
        # right.  This is also complicated a bit in that there are
        # collisions among the hashes of the integers in L alone.
        L = [n << 60 for n in range(100)]
        tryone("0..99 << 60 by 3", list(product(L, repeat=3)),
               (0, 0), (0, 0), (0, 0), (324, 1))
        del L

# Used to suffer a massive number of collisions.
        tryone("[-3, 3] by 18", list(product([-3, 3], repeat=18)),
               (7, 1), (0, 0), (7, 1), (6, 1))

# And even worse.  hash(0.5) has only a single bit set, at the
        # high end. A decent hash needs to propagate high bits right.
        tryone("[0, 0.5] by 18", list(product([0, 0.5], repeat=18)),
               (5, 1), (0, 0), (9, 1), (12, 1))

# Hashes of ints and floats are the same across platforms.
        # String hashes vary even on a single platform across runs, due
        # to hash randomization for strings.  So we can't say exactly
        # what this should do.  Instead we insist that the # of
        # collisions is no more than 4 sdevs above the theoretically
        # random mean.  Even if the tuple hash can't achieve that on its
        # own, the string hash is trying to be decently pseudo-random
        # (in all bit positions) on _its_ own.  We can at least test
        # that the tuple hash doesn't systematically ruin that.
        tryone("4-char tuples",
               list(product("abcdefghijklmnopqrstuvwxyz", repeat=4)),
               zlimit=4.0)

# The "old tuple test".  See https://bugs.python.org/issue942952.
        # Ensures, for example, that the hash:
        #   is non-commutative
        #   spreads closely spaced values
        #   doesn't exhibit cancellation in tuples like (x,(x,y))
        N = 50
        base = list(range(N))
        xp = list(product(base, repeat=2))
        inps = base + list(product(base, xp)) + \
                     list(product(xp, base)) + xp + list(zip(base))
        tryone("old tuple test", inps,
               (2, 1), (0, 0), (52, 49), (7, 1))
        del base, xp, inps

# The "new tuple test".  See https://bugs.python.org/issue34751.
        # Even more tortured nesting, and a mix of signed ints of very
        # small magnitude.
        n = 5
        A = [x for x in range(-n, n+1) if x != -1]
        B = A + [(a,) for a in A]
        L2 = list(product(A, repeat=2))
        L3 = L2 + list(product(A, repeat=3))
        L4 = L3 + list(product(A, repeat=4))
        # T = list of testcases. These consist of all (possibly nested
        # at most 2 levels deep) tuples containing at most 4 items from
        # the set A.
        T = A
        T += [(a,) for a in B + L4]
        T += product(L3, B)
        T += product(L2, repeat=2)
        T += product(B, L3)
        T += product(B, B, L2)
        T += product(B, L2, B)
        T += product(L2, B, B)
        T += product(B, repeat=4)
        assert len(T) == 345130
        tryone("new tuple test", T,
               (9, 1), (0, 0), (21, 5), (6, 1))

def test_repr(self):
        l0 = tuple()
        l2 = (0, 1, 2)
        a0 = self.type2test(l0)
        a2 = self.type2test(l2)

self.assertEqual(str(a0), repr(l0))
        self.assertEqual(str(a2), repr(l2))
        self.assertEqual(repr(a0), "()")
        self.assertEqual(repr(a2), "(0, 1, 2)")

def _not_tracked(self, t):
        # Nested tuples can take several collections to untrack
        gc.collect()
        gc.collect()
        self.assertFalse(gc.is_tracked(t), t)

def _tracked(self, t):
        self.assertTrue(gc.is_tracked(t), t)
        gc.collect()
        gc.collect()
        self.assertTrue(gc.is_tracked(t), t)

@support.cpython_only
    def test_track_literals(self):
        # Test GC-optimization of tuple literals
        x, y, z = 1.5, "a", []

self._not_tracked(())
        self._not_tracked((1,))
        self._not_tracked((1, 2))
        self._not_tracked((1, 2, "a"))
        self._not_tracked((1, 2, (None, True, False, ()), int))
        self._not_tracked((object(),))
        self._not_tracked(((1, x), y, (2, 3)))

# Tuples with mutable elements are always tracked, even if those
        # elements are not tracked right now.
        self._tracked(([],))
        self._tracked(([1],))
        self._tracked(({},))
        self._tracked((set(),))
        self._tracked((x, y, z))

def check_track_dynamic(self, tp, always_track):
        x, y, z = 1.5, "a", []

check = self._tracked if always_track else self._not_tracked
        check(tp())
        check(tp([]))
        check(tp(set()))
        check(tp([1, x, y]))
        check(tp(obj for obj in [1, x, y]))
        check(tp(set([1, x, y])))
        check(tp(tuple([obj]) for obj in [1, x, y]))
        check(tuple(tp([obj]) for obj in [1, x, y]))

self._tracked(tp([z]))
        self._tracked(tp([[x, y]]))
        self._tracked(tp([{x: y}]))
        self._tracked(tp(obj for obj in [x, y, z]))
        self._tracked(tp(tuple([obj]) for obj in [x, y, z]))
        self._tracked(tuple(tp([obj]) for obj in [x, y, z]))

@support.cpython_only
    def test_track_dynamic(self):
        # Test GC-optimization of dynamically constructed tuples.
        self.check_track_dynamic(tuple, False)

@support.cpython_only
    def test_track_subtypes(self):
        # Tuple subtypes must always be tracked
        class MyTuple(tuple):
            pass
        self.check_track_dynamic(MyTuple, True)

@support.cpython_only
    def test_bug7466(self):
        # Trying to untrack an unfinished tuple could crash Python
        self._not_tracked(tuple(gc.collect() for i in range(101)))

def test_repr_large(self):
        # Check the repr of large list objects
        def check(n):
            l = (0,) * n
            s = repr(l)
            self.assertEqual(s,
                '(' + ', '.join(['0'] * n) + ')')
        check(10)       # check our checking code
        check(1000000)

def test_iterator_pickle(self):
        # Userlist iterators don't support pickling yet since
        # they are based on generators.
        data = self.type2test([4, 5, 6, 7])
        for proto in range(pickle.HIGHEST_PROTOCOL + 1):
            itorg = iter(data)
            d = pickle.dumps(itorg, proto)
            it = pickle.loads(d)
            self.assertEqual(type(itorg), type(it))
            self.assertEqual(self.type2test(it), self.type2test(data))

it = pickle.loads(d)
            next(it)
            d = pickle.dumps(it, proto)
            self.assertEqual(self.type2test(it), self.type2test(data)[1:])

def test_reversed_pickle(self):
        data = self.type2test([4, 5, 6, 7])
        for proto in range(pickle.HIGHEST_PROTOCOL + 1):
            itorg = reversed(data)
            d = pickle.dumps(itorg, proto)
            it = pickle.loads(d)
            self.assertEqual(type(itorg), type(it))
            self.assertEqual(self.type2test(it), self.type2test(reversed(data)))

it = pickle.loads(d)
            next(it)
            d = pickle.dumps(it, proto)
            self.assertEqual(self.type2test(it), self.type2test(reversed(data))[1:])

def test_no_comdat_folding(self):
        # Issue 8847: In the PGO build, the MSVC linker's COMDAT folding
        # optimization causes failures in code that relies on distinct
        # function addresses.
        class T(tuple): pass
        with self.assertRaises(TypeError):
            [3,] + T((1,2))

def test_lexicographic_ordering(self):
        # Issue 21100
        a = self.type2test([1, 2])
        b = self.type2test([1, 2, 0])
        c = self.type2test([1, 3])
        self.assertLess(a, b)
        self.assertLess(b, c)

# Notes on testing hash codes.  The primary thing is that Python doesn't
# care about "random" hash codes.  To the contrary, we like them to be
# very regular when possible, so that the low-order bits are as evenly
# distributed as possible.  For integers this is easy: hash(i) == i for
# all not-huge i except i==-1.
#
# For tuples of mixed type there's really no hope of that, so we want
# "randomish" here instead.  But getting close to pseudo-random in all
# bit positions is more expensive than we've been willing to pay for.
#
# We can tolerate large deviations from random - what we don't want is
# catastrophic pileups on a relative handful of hash codes.  The dict
# and set lookup routines remain effective provided that full-width hash
# codes for not-equal objects are distinct.
#
# So we compute various statistics here based on what a "truly random"
# hash would do, but don't automate "pass or fail" based on those
# results.  Instead those are viewed as inputs to human judgment, and the
# automated tests merely ensure we get the _same_ results across
# platforms.  In fact, we normally don't bother to run them at all -
# set RUN_ALL_HASH_TESTS to force it.
#
# When global JUST_SHOW_HASH_RESULTS is True, the tuple hash statistics
# are just displayed to stdout.  A typical output line looks like:
#
# old tuple test; 32-bit upper hash codes; \
#             pileup 49 mean 7.4 coll 52 z +16.4
#
# "old tuple test" is just a string name for the test being run.
#
# "32-bit upper hash codes" means this was run under a 64-bit build and
# we've shifted away the lower 32 bits of the hash codes.
#
# "pileup" is 0 if there were no collisions across those hash codes.
# It's 1 less than the maximum number of times any single hash code was
# seen.  So in this case, there was (at least) one hash code that was
# seen 50 times:  that hash code "piled up" 49 more times than ideal.
#
# "mean" is the number of collisions a perfectly random hash function
# would have yielded, on average.
#
# "coll" is the number of collisions actually seen.
#
# "z" is "coll - mean" divided by the standard deviation of the number
# of collisions a perfectly random hash function would suffer.  A
# positive value is "worse than random", and negative value "better than
# random".  Anything of magnitude greater than 3 would be highly suspect
# for a hash function that claimed to be random.  It's essentially
# impossible that a truly random function would deliver a result 16.4
# sdevs "worse than random".
#
# But we don't care here!  That's why the test isn't coded to fail.
# Knowing something about how the high-order hash code bits behave
# provides insight, but is irrelevant to how the dict and set lookup
# code performs.  The low-order bits are much more important to that,
# and on the same test those did "just like random":
#
# old tuple test; 32-bit lower hash codes; \
#            pileup 1 mean 7.4 coll 7 z -0.2
#
# So there are always tradeoffs to consider.  For another:
#
# 0..99 << 60 by 3; 32-bit hash codes; \
#            pileup 0 mean 116.4 coll 0 z -10.8
#
# That was run under a 32-bit build, and is spectacularly "better than
# random".  On a 64-bit build the wider hash codes are fine too:
#
# 0..99 << 60 by 3; 64-bit hash codes; \
#             pileup 0 mean 0.0 coll 0 z -0.0
#
# but their lower 32 bits are poor:
#
# 0..99 << 60 by 3; 32-bit lower hash codes; \
#             pileup 1 mean 116.4 coll 324 z +19.2
#
# In a statistical sense that's waaaaay too many collisions, but (a) 324
# collisions out of a million hash codes isn't anywhere near being a
# real problem; and, (b) the worst pileup on a single hash code is a measly
# 1 extra.  It's a relatively poor case for the tuple hash, but still
# fine for practical use.
#
# This isn't, which is what Python 3.7.1 produced for the hashes of
# itertools.product([0, 0.5], repeat=18).  Even with a fat 64-bit
# hashcode, the highest pileup was over 16,000 - making a dict/set
# lookup on one of the colliding values thousands of times slower (on
# average) than we expect.
#
# [0, 0.5] by 18; 64-bit hash codes; \
#            pileup 16,383 mean 0.0 coll 262,128 z +6073641856.9
# [0, 0.5] by 18; 32-bit lower hash codes; \
#            pileup 262,143 mean 8.0 coll 262,143 z +92683.6

if __name__ == "__main__":
    unittest.main()