i NSSKJr SSKJrJr SSKJrJrJrJr SSK J r J r J r J r SSKJr /SQrSS\S \ \\4S \ 4S jjrS\S \4S jrS\S \4S jrS\S \4SjrS\ S \4SjrSS\S\S\S \ \4SjjrSS\S\S \ 4SjjrS\S \4SjrS\\-S \\-4Sjr\r\r\r g))datetime) localtime perf_counter) DataFrameSeries Timestamp to_datetime)FloatMaybeSeriesFrameOptionalTuple) EXCHANGE_TZ) df_datesdf_month_to_datedf_quarter_to_datedf_year_to_date final_timeget_timemtdqtdto_utc total_time unix_convertytdNdfdatesreturnctUcg[U[5(dU/nXRRU5$)z)Yields the DataFrame with the given datesN) isinstancelistindexisin)rrs P/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/utils/_time.pyrrs6 } eT " " hhmmE" ##cUR[R"5RS5:n[ U5(aX$U$)z(Yields the Month-to-Date (MTD) DataFrame%Y-%m-01r!rnowstrftimeany)rin_mtds r#rr%7 XX11*= =F 6{{z Ir$c4[R"5nSH^nURU::dMUR[ UR US5R S5:n[U5(dMZXs $ XRUR S5:$)z*Yields the Quarter-to-Date (QTD) DataFrame) r.r&)rr(monthr!ryearr)r*)rr(min_qtrs r#rr-sv --/C  99>XX#((Aq!9!B!B:!NNF6{{z!  hh#,,z22 33r$cUR[R"5RS5:n[ U5(aX$U$)z'Yields the Year-to-Date (YTD) DataFramez%Y-01-01r')rin_ytds r#rr8r,r$stimec6[5U- nUS-SSUSS3$)z~Human readable elapsed time. Calculates the final time elapsed since stime and returns a string with microseconds and seconds.iz2.4fz ms (z s))r)r8 time_diffs r#rr@s.&I$t $E)D)9 ==r$exchangefull to_stringc[Sn[U[5(aUR5n[Un[R "5nUR 5SUR5SURSUR3nUR5nURU-S-SURSSURS3nU(a[5nSURSURSSURSSUR3n SUR S S [#UR S - S 5-S S3n USU3n USU SU SU 3n O USUSU3n U(aU $[%U 5$)zdReturns Current Time, Day of the Year and Percentage, and the current time of the selected Exchange.NYSE z, :02dzLocal: zDay z/365 (dimz.2fz%)z: )rrstrupperrr(day_name month_namedayr3 timetupletm_hourtm_mintm_secrtm_zone dayofyearroundprint) r;r<r=tztodaydate_today exchange_timeltlocal_doy exchange_ss r#rrGsv V B(C  >>#  " MMOEnn q!1!1!3 4Aeii[5::, OD __ F+r12!FMM#3Fa VYGZ[M [2::,a #a #a |TU__%VC%8KQ2O,OPS+TTVWj=/2 fBykF82cU 3fBxj=/ 21'uQx'r$tfcpURSURS- nURS- URS- URS- URURS-UR5S- UR5S.n[U[5(aXR 5;aX1$US $) zCalculates the total time of a DataFrame. Difference of the Last and First index. Options: 'months', 'weeks', 'days', 'hours', 'minutes' and 'seconds'. Default: 'years'. Useful for annualization.rgP" v@gnj>@r0rA<)yearsmonthsweeksdayshoursminutessecondsra)r!rd total_secondsrrFkeys)rr]r: TimeFrames r#rres  rxx{*I"55..6)!#"$**,r1**,I"cr^^%55} W r$cUR(d#URRS5UlU$U$![a$ URR S5UlU$f=f)z^Either localizes the DataFrame Index to UTC or it applies tz_convert to set the Index to UTC. UTC)emptyr! tz_localize TypeError tz_convert)rs r#rrzs] 88 2xx++E2BH I2I 2xx**51BH I 2s 7*A%$A%r\c[USS9$)zunix_convert Convert timestamps from Polygon to readable datetime strings. Parameters: s (int | Series): The timestamp(s). An integer posix timestamp or a Series of timestamps. Returns: (datetime | str): Converted datetime ms)unit)r )r\s r#rrs qt $$r$)N)r?TF)ra)!rtimerrpandasrrrr pandas_ta._typingr r r r pandas_ta.mapsr__all__rFr rrrrrboolrrrintrrrrr$r#r|s!(<<FF& $.2$$T *$$y4944 i>e>>BG(("&(:>( c](<9#E* y Y  %C&L %X^ % r$