a nEb @s^ddlZddlZddlZddlmZddlmZddl m Z m Z m Z ddl mZejddddgdd gd d d Zejd ejd ejdgdddZddejejejfDZeddejejfDeddejejejfDeejdejdgegdejedddZeje ejddde ejddde ejdddedgddd d!d"Zejed#ed#ed#gd$dd d%d&Z ejej!"d'ej!#d(ejd'd)ed*e$d'd+e$d(d,gd-dd d.d/Z%ejej!#d0ej!&d1ejd0d2ejd3d4e$d0d,e$d1d5gd6dd d7d8Z'ej!(d0ej!)d ej!&gZ*ejejd9d:e$d9d;ejd9d4ge*ddd,ejd?d2ed@ge*ddAdBZ,eje$dCd+ejdCd)ejdCd)ge*ddDdEZ-ejejej.ej/eje0gdFdd dGdHZ1dS)IN) RangeIndex) Float64Index Int64Index UInt64Index) expressionsTmodulei@BZnumexprpython)Zautousescopeparamsidsccs tj}|jt_|jV|t_dSN)expr _MIN_ELEMENTSparam)requestrr`/home/ja/django-apps/lartica_env/lib/python3.9/site-packages/pandas/tests/arithmetic/conftest.pyswitch_numexpr_min_elementssrdtype)r cCs|jS)a@ Several variants of integer value 1. The zero-dim integer array behaves like an integer. This fixture can be used to check that datetimelike indexes handle addition and subtraction of integers and zero-dimensional arrays of integers. Examples -------- dti = pd.date_range('2016-01-01', periods=2, freq='H') dti DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 01:00:00'], dtype='datetime64[ns]', freq='H') dti + one DatetimeIndex(['2016-01-01 01:00:00', '2016-01-01 02:00:00'], dtype='datetime64[ns]', freq='H') rrrrronesrcCs4g|],}tjtjtjfD]}|dgd|dqqS)rr)npint64uint64float64).0box_clsrrrr 5sr!cCs g|]}|dgdtjdqS)rr)rr)rr rrrr!;cCsg|]}tjd|dqS)rr)rarray)rrrrrr!=r#r")rgr"cCs|jS)a Several types of scalar zeros and length 5 vectors of zeros. This fixture can be used to check that numeric-dtype indexes handle division by any zero numeric-dtype. Uses vector of length 5 for broadcasting with `numeric_idx` fixture, which creates numeric-dtype vectors also of length 5. Examples -------- arr = RangeIndex(5) arr / zeros Float64Index([nan, inf, inf, inf, inf], dtype='float64') rrrrrzeroEsr%rrrrcCs t|jSr type__name__xrrrdr#r+)r r cCs|jS)z7 Several types of numeric-dtypes Index objects rrrrr numeric_idx]s r,Z10m7scCs t|jSr r&r)rrrr+wr#cCs|jS)zV Several variants of Timedelta scalars representing 10 minutes and 7 seconds. rrrrr scalar_tdqs r-H)daysz72:00:00DhcCs t|jSr r&r)rrrr+r#cCs|jS)za Several timedelta-like and DateOffset objects that each represent a 3-day timedelta rrrrr three_dayssr3x)hoursi )secondsmcCs t|jSr r&r)rrrr+r#cCs|jS)zb Several timedelta-like and DateOffset objects that each represent a 2-hour timedelta rrrrr two_hourssr9)minutesscCs|jS)zp Several timedelta-like and DateOffset instances that are _not_ compatible with Hourly frequencies. rrrrr not_hourlys r=z23:00:00cCs|jS)zo Several timedelta-like and DateOffset instances that are _not_ compatible with Daily frequencies. rrrrr not_dailys r@imcCs|jS)z{ Several timedelta-like and DateOffset instances that are _not_ compatible with Monthly or Annual frequencies. rrrrrmismatched_freqs rAcCs|jSr )r(r)rrrr+r#cCs|jS)zc Fixture to test behavior for Index, Series, tm.to_array, numpy Array and list classes rrrrr box_1d_arraysrB)2numpyrZpytestZpandaspdrZpandas._testingZ_testingtmZpandas.core.apirrrZpandas.core.computationrr Zfixturerr$rrIndexZzerosextendrrr%Zaranger,Z TimedeltaZto_pytimedeltaZto_timedelta64r-offsetsZDayZHourZ timedelta64r3ZMinuter9Z YearBeginZ MonthBeginZ_common_mismatchr=r@rAZSeriesZto_arraylistrBrrrrs