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Fixture to parametrize over Index, Series, and ExtensionArray ryr{s r0index_or_series_or_arrayrr~r2cUR$r)rrss r0rurus1::r2cUR$)zQ Fixture to test behavior for Index, Series, DataFrame, and pandas Array classes ryr{s r0box_with_arrayrrr2c$"SS[5nU$)z$ Fixture for a dictionary subclass. c\rSrSrSSjrSrg)"dict_subclass..TestSubDictic8[R"U/UQ70UD6 gr)dict__init__)selfargskwargss r0r+dict_subclass..TestSubDict.__init__s MM$ 0 0 0r2rkNreturnNone)r __module__ __qualname____firstlineno__r__static_attributes__rkr2r0 TestSubDictrs 1r2r)r)rs r0 dict_subclassrs 1d1 r2c8"SS[R5nU$)z0 Fixture for a non-mapping dictionary subclass. c8\rSrSrSSjrSrS SjrS SjrSrg) 5non_dict_mapping_subclass..TestNonDictMappingi cXlgr_data)runderlying_dicts r0r>non_dict_mapping_subclass..TestNonDictMapping.__init__ s(Jr2c8URRU5$r)r __getitem__)rkeys r0rAnon_dict_mapping_subclass..TestNonDictMapping.__getitem__s::))#. .r2c6URR5$r)r__iter__rs r0r>non_dict_mapping_subclass..TestNonDictMapping.__iter__s::&&( (r2c6URR5$r)r__len__rs r0r=non_dict_mapping_subclass..TestNonDictMapping.__len__s::%%' 'r2rNr)rr')rint) rrrrrrrrrrkr2r0TestNonDictMappingr s ) / ) (r2r)rMapping)rs r0non_dict_mapping_subclassrs (S[[ ( r2c [[RRS5R S5[ [ S5[S9[SSSS9S 9nURS S S /5R5nURRURRVs/sHo"RS 5PM sn5Ul URR/SQSS9 U$s snf)zx DataFrame with 3 level MultiIndex (year, month, day) covering first 100 business days from 2000-01-01 with random data )dABCDdtype 2000-01-01rBperiodsfreq)rnrmcUR$r)yearrss r0ruAmultiindex_year_month_day_dataframe_random_data..*sr2cUR$r)r^rss r0rur*s177r2cUR$r)dayrss r0rur*saeer2i8)rr^rT)inplace)rrcrandom default_rngstandard_normalr#listobjectrgroupbysumrm set_levelslevelsastype set_names)tdfymdlevs r0/multiindex_year_month_day_dataframe_random_datars  a 00:d6l&1s= C ++'):OL M Q Q SC $$#))BRBR%SBR3jj&6BR%STCIII0$? 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These indices are unlikely to cover corner cases, e.g. - no names - no NaTs/NaNs - no values near implementation bounds - ... ) indices_dictrzcopyr{s r0rmrms  & + + --r2cHURn[UR5$)z0 index fixture, but excluding MultiIndex cases. )rzrbrc)r|rs r0 index_flatres! --C   ! ! ##r2)ruintfloat)r@rXr\rUcP[URRSS9nURR5nURS;aBUR 5nSUSSS-US'SUSSS-US'[ R "U5$SUS'SUS'[U5"U5$) z Fixture for indices with missing values. Integer-dtype and empty cases are excluded because they cannot hold missing values. MultiIndex is excluded because isna() is not defined for MultiIndex. Tdeep)rYrZr[rrrZN)rbrzrcvaluestolistr$ from_tuplesr)r|indvalss r0index_with_missingrqs. w}} % * * * 5C ::?? D}}CCzz|DGABK'QT"Xab\)R%%d++QRCyr2c [[R"S[RS9S-[ [ S5Vs/sHnSU3PM sn[ S9SS9$s snf)z; Fixture for Series of floats with Index of unique strings rg?i_rrmr4)rrcarangerJr#r@ris r0 string_seriesrysQ  "BJJ'#-uRy1y!r!Xy1@  1sAc[S5Vs/sHnSU3PM nn[[S5Vs/sHnSU3PM sn[S9n[XS[S9$s snfs snf)zA Fixture for Series of dtype object with Index of unique strings rsfoo_bar_robjectsrmr4r)r@r#rr)rxdatarms r0 object_seriesrs^ !&b * 1d1#J D * uRy1y!T!:y1 @E $)6 BB +1s AAc [[RRS5R S5[ SSSS9SS9$)z1 Fixture for Series of floats with DatetimeIndex rrsrrrtsru)rrcrrrrrkr2r0datetime_seriesrs=  a 004r<  r2c[U5n[RRS5R U5n[ X SSS9$)zHelper for the _series dictrr3F)rmr4rc)lenrcrrrr)rmsizers r0_create_seriesrs9 u:D 99  # 3 3D 9D $#E ::r2z series-with-z-indexc[U5$)z= Fixture for tests on series with changing types of indices. )rrms r0series_with_simple_indexrs %  r2z-seriesrszi-r3r~cB[URRSS9$)zp Fixture for tests on indexes, series and series with a narrow dtype copy to avoid mutation, e.g. setting .name Tri)_index_or_series_objsrzrcr{s r0index_or_series_objr$s! ! / 4 4$ 4 ??r2cB[URRSS9$)z Fixture for tests on indexes, series, series with a narrow dtype and series with empty objects type copy to avoid mutation, e.g. setting .name Tri)_index_or_series_memory_objsrzrcr{s r0index_or_series_memory_objr:s! ( 6 ; ; ; FFr2c [[R"S[RS9[ [ S5Vs/sHnSU3PM sn[ S9[ [S5[ S9S9$s snf)z^ Fixture for DataFrame of ints with index of unique strings Columns are ['A', 'B', 'C', 'D'] rsrrrsr{rr()rrconesrDr#r@rrrws r0 int_framerGsW  rxx(r3AtA3Z36Bd6l&1 3sA+c [[RRS5R S5[ [ S5Vs/sHnSU3PM sn5[ [S55S9$s snf)za Fixture for DataFrame of floats with index of unique strings Columns are ['A', 'B', 'C', 'D']. rrrsr{rr()rrcrrrr#r@rrws r0 float_framerUs^  a 009r3AtA3Z34d6l# 3sA0ct[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5/ n[[RR S5R [ U55US9$)z> Fixture for Series with a DatetimeIndex that has duplicates. irZrrrrYr)rrrcrrrr)datess r0(rand_series_with_duplicate_datetimeindexrcs q!q!q!q!q!q!q!q!q!q! E "))''*::3u:Fe TTr2)rrrg?g?z2012-01M)rz period[M]z 2012-02-01z period[D]z 2011-01-01r6)r8s)unitr8i)secondsztimedelta64[ns]cUR$rryr{s r0ea_scalar_and_dtyper{ ==r2cUR$)z< Fixture for dunder names for common arithmetic operations. ryr{s r0all_arithmetic_operatorsrr~r2cUR$)zM Fixture for operator and roperator arithmetic, comparison, and logical ops. ryr{s r0all_binary_operatorsrD ==r2cUR$)z Fixture for operator and roperator arithmetic functions. Notes ----- This includes divmod and rdivmod, whereas all_arithmetic_operators does not. ryr{s r0all_arithmetic_functionsrs6 ==r2) countr maxminmeanprodstdvarmediankurtskewsemcUR$)z& Fixture for numeric reduction names. ryr{s r0all_numeric_reductionsrr~r2allanycUR$)z& Fixture for boolean reduction names. ryr{s r0all_boolean_reductionsrr~r2cUR$)z6 Fixture for all (boolean + numeric) reduction names. ryr{s r0all_reductionsrr~r2cUR$)z3 Fixture for operator module comparison functions. ryr{s r0 comparison_opr rr2)__le____lt____ge____gt__cUR$)zU Fixture for dunder names for compare operations except == and != * >= * > * < * <= ryr{s r0compare_operators_no_eq_nerrr2)__and____rand____or____ror____xor____rxor__cUR$)zE Fixture for dunder names for common logical operations * | * & * ^ ryr{s r0all_logical_operatorsr( ==r2)cumsumcumprodcummincummaxcUR$)z( Fixture for numeric accumulation names ryr{s r0all_numeric_accumulationsr9r~r2c$URS5$)zJ Returns the configuration for the test setting `--no-strict-data-files`. r*)rL) pytestconfigs r0strict_data_filesrDs  ! !": ;;r2c^^[RR[RR[5S5mUU4SjnU$)a Get the path to a data file. 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Raises ------ ValueError If the path doesn't exist and the --no-strict-data-files option is not set. testsc>[RR"T/UQ76n[RRU5(d0T(a[ SUS35e[ R "SUS35 U$)NzCould not find file z' and --no-strict-data-files is not set.zCould not find .)osr;joinexists ValueErrorr7skip)rr; BASE_PATHrs r0decodatapath..decoasfww||I--ww~~d##  *4&0WX KK/$q1 2 r2)rr;rdirname__file__)rrrs` @r0datapathrLs2& RWW__X6@I Kr2z Asia/Tokyozdateutil/US/Pacificzdateutil/Asia/Singaporez+01:15z-02:15z UTC+01:15z UTC-02:15i,i)hoursrkrr'cUR$)z< Fixture for trying timezones including default (None): {0} ryr{s r0tz_naive_fixturerrr2cUR$)z, Fixture for trying explicit timezones: {0} ryr{s r0tz_aware_fixturerrr2rz dateutil/UTCcUR$)zI Fixture to provide variants of UTC timezone strings and tzinfo objects. ryr{s r0 utc_fixturerr~r2)rmsusnscUR$)z datetime64 units we support. ryr{s r0rrr~r2cUR$)z> Parametrized fixture for string dtypes. * str * 'str' * 'U' ryr{s r0 string_dtyper ==r2pyarrowcUR$)zQ Parametrized fixture for string dtypes. * 'string[python]' * 'string[pyarrow]' ryr{s r0nullable_string_dtyper ==r2python pyarrow_numpycUR$)zd Parametrized fixture for pd.options.mode.string_storage. * 'python' * 'pyarrow' * 'pyarrow_numpy' ryr{s r0string_storagerrr2numpy_nullablecUR$)zR Parametrized fixture for pd.options.mode.string_storage. * 'python' * 'pyarrow' ryr{s r0 dtype_backendrrr2cUR$)z; Parametrized fixture for bytes dtypes. * bytes * 'bytes' ryr{s r0 bytes_dtyper ==r2cUR$)z> Parametrized fixture for object dtypes. * object * 'object' ryr{s r0 object_dtyperrr2rzstring[pyarrow_numpy]cUR$)z[ Parametrized fixture for string dtypes. * 'object' * 'string[python]' * 'string[pyarrow]' ryr{s r0any_string_dtyperrr2cUR$)zL Parametrized fixture for datetime64 dtypes. * 'datetime64[ns]' * 'M8[ns]' ryr{s r0datetime64_dtyper-rr2cUR$)zN Parametrized fixture for timedelta64 dtypes. * 'timedelta64[ns]' * 'm8[ns]' ryr{s r0timedelta64_dtyper8rr2c  [SSSSSSSS9$)z% Fixture emits fixed Timestamp.now() irZr[r )rr^rhourminuter microsecond)rrkr2r0 fixed_now_tsrCs  1RR r2cUR$)zJ Parameterized fixture for float dtypes. * float * 'float32' * 'float64' ryr{s r0float_numpy_dtyperMrr2cUR$)zB Parameterized fixture for float dtypes. * 'Float32' * 'Float64' ryr{s r0float_ea_dtyperYrr2cUR$)zb Parameterized fixture for float dtypes. * float * 'float32' * 'float64' * 'Float32' * 'Float64' ryr{s r0any_float_dtyperdrr2cUR$)zS Parameterized fixture for complex dtypes. * complex * 'complex64' * 'complex128' ryr{s r0 complex_dtyperrrr2cUR$)z Parameterized fixture for complex and numpy float dtypes. * complex * 'complex64' * 'complex128' * float * 'float32' * 'float64' ryr{s r0complex_or_float_dtyper~s ==r2cUR$)z` Parameterized fixture for signed integer dtypes. * int * 'int8' * 'int16' * 'int32' * 'int64' ryr{s r0any_signed_int_numpy_dtyperrr2cUR$)z` Parameterized fixture for unsigned integer dtypes. * 'uint8' * 'uint16' * 'uint32' * 'uint64' ryr{s r0any_unsigned_int_numpy_dtyperrr2cUR$)z Parameterized fixture for any integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' ryr{s r0any_int_numpy_dtyperrr2cUR$)z Parameterized fixture for any nullable integer dtype. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' ryr{s r0any_int_ea_dtyper rr2cUR$)z Parameterized fixture for any nullable integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' ryr{s r0 any_int_dtyper"s. ==r2cUR$)z Parameterized fixture for any nullable integer dtype and any float ea dtypes. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' ryr{s r0any_numeric_ea_dtyper$s" ==r2cUR$)a~ Parameterized fixture for any nullable integer dtype and any float ea dtypes. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' * 'uint8[pyarrow]' * 'int8[pyarrow]' * 'uint16[pyarrow]' * 'int16[pyarrow]' * 'uint32[pyarrow]' * 'int32[pyarrow]' * 'uint64[pyarrow]' * 'int64[pyarrow]' * 'float32[pyarrow]' * 'float64[pyarrow]' ryr{s r0any_numeric_ea_and_arrow_dtyper&s@ ==r2cUR$)zf Parameterized fixture for any signed nullable integer dtype. * 'Int8' * 'Int16' * 'Int32' * 'Int64' ryr{s r0any_signed_int_ea_dtyper(rr2cUR$)z Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' ryr{s r0any_real_numpy_dtyper*+s$ ==r2cUR$)z Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' and associated ea dtypes. ryr{s r0any_real_numeric_dtyper,@s( ==r2cUR$)aT Parameterized fixture for all numpy dtypes. * bool * 'bool' * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' * complex * 'complex64' * 'complex128' * str * 'str' * 'U' * bytes * 'bytes' * 'datetime64[ns]' * 'M8[ns]' * 'timedelta64[ns]' * 'm8[ns]' * object * 'object' ryr{s r0any_numpy_dtyper.Wrr2cUR$)a Parameterized fixture for all real dtypes that can hold NA. * float * 'float32' * 'float64' * 'Float32' * 'Float64' * 'UInt8' * 'UInt16' * 'UInt32' * 'UInt64' * 'Int8' * 'Int16' * 'Int32' * 'Int64' * 'uint8[pyarrow]' * 'uint16[pyarrow]' * 'uint32[pyarrow]' * 'uint64[pyarrow]' * 'int8[pyarrow]' * 'int16[pyarrow]' * 'int32[pyarrow]' * 'int64[pyarrow]' * 'float[pyarrow]' * 'double[pyarrow]' ryr{s r0any_real_nullable_dtyper0|s: ==r2cUR$)a9 Parameterized fixture for all numeric dtypes. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' * complex * 'complex64' * 'complex128' * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' ryr{s r0any_numeric_dtyper2s> ==r2cmixedbytesacrXz mixed-integerrg@floatingg?integerzmixed-integer-floatdecimal datetime64z 2013-01-01z 2018-01-01r520180101riicomplexy??y@@rrWcVURup[R"U[S9nX4$)a Fixture for all inferred dtypes from _libs.lib.infer_dtype The covered (inferred) types are: * 'string' * 'empty' * 'bytes' * 'mixed' * 'mixed-integer' * 'mixed-integer-float' * 'floating' * 'integer' * 'decimal' * 'boolean' * 'datetime64' * 'datetime' * 'date' * 'timedelta' * 'time' * 'period' * 'interval' Returns ------- inferred_dtype : str The string for the inferred dtype from _libs.lib.infer_dtype values : np.ndarray An array of object dtype that will be inferred to have `inferred_dtype` Examples -------- >>> from pandas._libs import lib >>> >>> def test_something(any_skipna_inferred_dtype): ... inferred_dtype, values = any_skipna_inferred_dtype ... # will pass ... assert lib.infer_dtype(values, skipna=True) == inferred_dtype r)rzrcrr)r|inferred_dtyperls r0any_skipna_inferred_dtyper@s,R%]]N XXfF +F  !!r2c[R"SSS9 SSKJn SSKJn U"5nSUR lU"US9$) z^ Get an instance of IPython.InteractiveShell. Will raise a skip if IPython is not installed. IPythonz6.0.0) minversionr)InteractiveShell)Configz:memory:)rN)r7 importorskipIPython.core.interactiveshellrDtraitlets.configrEHistoryManager hist_file)rDrEr3s r0iprKs<  g6>(A!+A 1 %%r2)bsrcoocsccsrdiadoklilc^[R"S5n[XRS-5$)z% Yields scipy sparse matrix classes. z scipy.sparse_matrix)r7rFgetattrrz)r|sparses r0spmatrixrW#s(   0F 6==94 55r2TickcUR$)zF Fixture for Tick based datetime offsets available for a time series. ryr{s r0 tick_classesrZ-rr2cU$rrkrss r0ruru;sr2cUR$)z_ Simple fixture for testing keys in sorting methods. Tests None (no key) and the identity key. ryr{s r0 sort_by_keyr];rr2)rNN)EgonVenkmanN)NCC1701Dr`r`cUR$)zH A 3-tuple of names, the first two for operands, the last for a result. ryr{s r0r r Ds ==r2cUR$)zA Parametrize over __setitem__, loc.__setitem__, iloc.__setitem__ ryr{s r0 indexer_slircWr~r2cUR$)z4 Parametrize over loc.__getitem__, iloc.__getitem__ ryr{s r0 indexer_lire_r~r2cUR$)z0 Parametrize over __setitem__, iloc.__setitem__ ryr{s r0 indexer_sirggr~r2cUR$)z/ Parametrize over __setitem__, loc.__setitem__ ryr{s r0 indexer_slrior~r2cUR$)z2 Parametrize over at.__setitem__, loc.__setitem__ ryr{s r0 indexer_alrkwr~r2cUR$)z4 Parametrize over iat.__setitem__, iloc.__setitem__ ryr{s r0 indexer_ialrmr~r2c[SSS9S:H$)z6 Fixture to check if the array manager is being used. mode.data_managerTsilentrrrkr2r0using_array_managerrrs *4 8G CCr2cv[RRRSL=(a [ SSS9S:H$)z/ Fixture to check if Copy-on-Write is enabled. Trorpblockrdoptionsmode copy_on_writerrkr2r0using_copy_on_writerys5 %%- E +D 9W Dr2cx[RRRS:H=(a [ SSS9S:H$)z7 Fixture to check if Copy-on-Write is in warning mode. warnroTrprtrurkr2r0warn_copy_on_writer|s5 %%/ E +D 9W Dr2cN[RRRSL$)z5 Fixture to check if infer string option is enabled. T)rdrvfuture infer_stringrkr2r0using_infer_stringrs ::   ) )T 11r2z Europe/Warsawzdateutil/Europe/WarsawcUR$)z= tzinfo for Europe/Warsaw using pytz, dateutil, or zoneinfo. ryr{s r0warsawrr~r2cg)N)rrrkrkr2r0arrow_string_storagers 'r2r)r:z pytest.Itemr;strr<rrr)rz type[dict])rztype[abc.Mapping])rr$)rr)rr)rrrzCallable[..., str])rr)rz#tuple[Hashable, Hashable, Hashable])rbool)rr(@__doc__ __future__r collectionsrrrrrr r:r operatorrtypingr r dateutil.tzr r hypothesisrstnumpyrcr7pytzrrpandas._config.configrpandas.util._test_decoratorsutil_test_decoratorstdpandas.core.dtypes.dtypesrrpandasrdrrrrrrrrrrr r!pandas._testing_testingtm pandas.corer"pandas.core.indexes.apir#r$pandas.util.versionr%collections.abcr&r'rpa has_pyarrow ImportErrorzoneinfoZoneInfoZoneInfoNotFoundErrorr1r=rQ HealthChecktoo_slowhypothesis_health_checks __version__appenddiffering_executorssettingsregister_profiletuple load_profilesplitr4rUtseriesoffsetsclsregister_type_strategybuildsintegersbooleansfixturerfrlr} axis_framerrrrrrrrrz skip_if_norrrrr NULL_OBJECTSrnulls_fixture2nanNaTrunique_nulls_fixture2NP_NAT_OBJECTSrnp_nat_fixture2rrindex_or_series2rrrbox_with_array2rrrr!r)r1r:r@rvrrr from_breakslinspacernrr rbidxkeysrmindex_fixture2rM isinstancere index_flat2 startswithrqryrrr_seriesrNARROW_NP_DTYPESr_narrow_seriesrrPYTHON_DATA_TYPES_typ_objects_seriesrrrrrrarithmetic_dunder_methodsraddraddsubrsubmulrmultruedivrtruedivfloordiv rfloordivmodrmodpowrpoweqneltlegtgeand_rand_xorrxoror_ror_rr_all_numeric_reductionsr_all_boolean_reductionsr_all_reductionsrrrr_all_numeric_accumulationsrrr TIMEZONESextendrr TIMEZONE_IDSparametrize_fixture_docrrrtz_aware_fixture2_UTCSr utc_fixture2runit2 STRING_DTYPESrrrrstring_storage2 BYTES_DTYPESr OBJECT_DTYPESrrDATETIME64_DTYPESrTIMEDELTA64_DTYPESrrFLOAT_NUMPY_DTYPESrFLOAT_EA_DTYPESrALL_FLOAT_DTYPESrCOMPLEX_DTYPESrCOMPLEX_FLOAT_DTYPESrSIGNED_INT_NUMPY_DTYPESrUNSIGNED_INT_NUMPY_DTYPESrALL_INT_NUMPY_DTYPESrALL_INT_EA_DTYPESr ALL_INT_DTYPESr"r$ALL_INT_PYARROW_DTYPES_STR_REPRFLOAT_PYARROW_DTYPES_STR_REPRr&SIGNED_INT_EA_DTYPESr(ALL_REAL_NUMPY_DTYPESr*ALL_REAL_DTYPESr,ALL_NUMPY_DTYPESr.ALL_REAL_NULLABLE_DTYPESr0ALL_NUMERIC_DTYPESr2NAr;_any_skipna_inferred_dtyperw_r@rKrW__all__ issubclassrXrZr]r setitemlocilocrcrergriatrkiatrmrrryr|rwarsawsrr)rxrvalueindex_idrmros0000000r0rs&#  '  .))     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RUUC ! sBFFC ! tRVVT"# rvvrvvrvv&' bMsBFFA&' sBFFC !#rvvs#$BFFAQ,-RVVWQZ01rvvu%&ruue$%BMM,/|9TUV)J':1FGH d4AT1a(8 9:()9Q<167 d1grvvtAw '( t bfffTl34(1a."&&(1a.9:36 ( )Q1s;,"<,"d&&$HI6J6## #A gbjj!,bjjoo > CD;  A# k*+,!,    ruu    BFFBGG456()* BGG,-. BFF+,-rvv'(()*DD22 4 5  NN8$$_56w ((A;K%%HJ8H5=0 " `  7(~ ,D s6Ak/Ak>Al %Al*!Al! Al& Al& Al, 3Al, ; Al, Al, 3Al25(Al=Al8, Al=7 Am3Am_%9Am `"Am `+Am k/Ak;k:Ak;k>AllAll8Al=