+ Ŝi`Rt^RIHt^RIt^RIt^RIHt^RIH t H t H t ^RI t ]P'd^RIHt/RRbRR bR R bR R bRRbRRbRRbRR bRRbRRbRRbRRbRRbRR bR!R"bR#R$bR%R&bR'R(R)R*R+R,R-R.R/R0R1R2R3R4R5R6R7R8R9R:R;RR?R@/ Ct!RARB4t!RCRD4tRERFltRGRHltR#)IzE Utility functions and objects for implementing the interchange API. ) annotationsN)lib) ArrowDtypeCategoricalDtypeDatetimeTZDtype)DtypeObjnullnboolbuint8Cuint16Suint32Iuint64Lint8cint16int32iint64l halffloatefloatfdoublegstringu large_stringUbinaryzz time32[s]ttsz time32[ms]ttmz time64[us]ttuz time64[ns]ttnz date32[day]tdDz date64[ms]tdmz timestamp[s]ztss:z timestamp[ms]ztsm:z timestamp[us]ztsu:z timestamp[ns]ztsn:z duration[s]tDsz duration[ms]tDmz duration[us]tDuz duration[ns]tDncf]tRt^=tRtRtRtRtRtRt Rt Rt R t R t R tR tR tRtRtRtRtRtRtRtRtR#) ArrowCTypesz Enum for Apache Arrow C type format strings. The Arrow C data interface: https://arrow.apache.org/docs/format/CDataInterface.html#data-type-description-format-strings r r rr srrrrrrrr r"r$r+r,zts{resolution}:{tz}ztt{resolution}N)__name__ __module__ __qualname____firstlineno____doc__NULLBOOLINT8UINT8INT16UINT16INT32UINT32INT64UINT64FLOAT16FLOAT32FLOAT64STRING LARGE_STRINGDATE32DATE64 TIMESTAMPTIME__static_attributes__r4f/Users/mibo/.openclaw/workspace/.venv-ak/lib/python3.14/site-packages/pandas/core/interchange/utils.pyr2r2=sj D D D E E F E F E FGGG FL F F &I DrNr2c*]tRt^_tRtRtRtRtRtRt R#) Endiannessz.Enum indicating the byte-order of a data-type.<>=|r4N) r5r6r7r8r9LITTLEBIGNATIVENArMr4rNrOrQrQ_s8 F C F BrNrQc V^8dQhRRRR/#)dtyperreturnstrr4)formats"rO __annotate__r`hs555S5rNc\V\4'd\P#V\P !R48Xd\P #\V\4'd^RIpVPpVPPV4'dRVP RVP 2#VPPV4'd2VPe$RVP ^, RVP 2#\"P%\'V4R4pVeV#\)\VP*P-4R4pVeV#\V\.P04'd\P #\2P4!VR4'dF\P6!V4^,^,p\P8P;VRR 7#\V\<4'd=\P8P;VP ^,VPR 7#\V\.P>4'd\P@#\CR V R 24h) z Represent pandas `dtype` as a format string in Apache Arrow C notation. Parameters ---------- dtype : np.dtype Datatype of pandas DataFrame to represent. Returns ------- str Format string in Apache Arrow C notation of the given `dtype`. ONzd:,ts:M) resolutiontzzConversion of z- to Arrow C format string is not implemented.)" isinstancerr2rBnpr\rGrpyarrow pyarrow_dtypetypes is_decimal precisionscale is_timestampriunitPYARROW_CTYPESgetr^getattrnameupperpd StringDtyper is_np_dtype datetime_datarKr_r BooleanDtyper;NotImplementedError)r\papa_type format_strrhs& rOdtype_to_arrow_c_fmtrhs%)**   "((3- !!! E: & &%% 88  w ' '))*!GMM?; ; XX " "7 + + 0F Q('**6 6#''G d;  ! ejj&6&6&8$?J%((!!!  $ $%%e,Q/2 $$++zb+II E? + +$$++uzz!}+RR E2?? + +  LM rNc$V^8dQhRRRRRR/#)r[seriesz pd.Series allow_copyr r]zpd.Series | Noner4)r_s"rOr`r`s'TT)TDT=MTrNcr\VP\P4'gR#VPP p\ VP4^8XdR#V'g \R4hVP4p\P!W0PVPVPR7#)a Rechunk a multi-chunk pyarrow array into a single-chunk array, if necessary. - Returns `None` if the input series is not backed by a multi-chunk pyarrow array (and so doesn't need rechunking) - Returns a single-chunk-backed-Series if the input is backed by a multi-chunk pyarrow array and `allow_copy` is `True`. - Raises a `RuntimeError` if `allow_copy` is `False` and input is a based by a multi-chunk pyarrow array. NzFound multi-chunk pyarrow array, but `allow_copy` is False. Please rechunk the array before calling this function, or set `allow_copy=True`.)r\rwindex) rjr\ryrarray _pa_arraylenchunks RuntimeErrorcombine_chunksSeriesrwr)rr chunked_arrayarrs&$ rO maybe_rechunkrs fllBMM 2 2LL**M =   A%  !   & & (C 99S 6;;fll SSrN)r9 __future__rtypingnumpyrk pandas._libsrpandas.core.dtypes.dtypesrrrpandasry TYPE_CHECKINGpandas._typingrrtr2rQrrr4rNrOrso#   '  C C S c   c   c  C S S S S c cC  c!"#$%%%5%FVVV5EEE=DD  5pTrN