o $j@sdZddlmZddlZddlZddlmZddlm Z m Z m Z ddl Z ejr-ddlmZiddd d d d d dddddddddddddddddddd d!d"d#d$d%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d4d5 ZGd6d7d7ZGd8d9d9ZdFd>d?ZdGdDdEZdS)HzE Utility functions and objects for implementing the interchange API. ) annotationsN)lib) ArrowDtypeCategoricalDtypeDatetimeTZDtype)DtypeObjnullnboolbZuint8CZuint16SZuint32IZuint64LZint8cZint16Zint32iZint64lZ halffloatefloatfdoublegstringuZ large_stringUbinaryzz time32[s]ZttsZttmZttuZttntdDtdmztss:ztsm:ztsu:ztsn:ZtDsZtDmZtDuZtDn) z time32[ms]z time64[us]z time64[ns]z date32[day]z date64[ms]z timestamp[s]z timestamp[ms]z timestamp[us]z timestamp[ns]z duration[s]z duration[ms]z duration[us]z duration[ns]c@s\eZdZdZdZdZdZdZdZdZ dZ d Z d Z d Z d Zd ZdZdZdZdZdZdZdZdS) 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 sr rrrrrrrrrrrzts{resolution}:{tz}ztt{resolution}N)__name__ __module__ __qualname____doc__ZNULLBOOLZINT8ZUINT8ZINT16ZUINT16ZINT32ZUINT32INT64ZUINT64ZFLOAT16ZFLOAT32ZFLOAT64STRINGZ LARGE_STRINGZDATE32ZDATE64 TIMESTAMPZTIMEr)r)^/var/www/html/Deteccion_Ine/venv/lib/python3.10/site-packages/pandas/core/interchange/utils.pyr=s*rc@s eZdZdZdZdZdZdZdS) Endiannessz.Enum indicating the byte-order of a data-type.<>=|N)r!r"r#r$ZLITTLEZBIGZNATIVEZNAr)r)r)r*r+_s r+dtyperreturnstrcCsHt|trtjS|tdkrtjSt|trSddl}|j }|j |r.d|j d|j S|j |rE|jdurEd|jdd|jStt|d}|durS|Stt|jd}|durb|St|tjrktjSt|drt|dd}tjj|d d St|trtjj|jd|jd St|tjrtj St!d |d ) a  Represent pandas `dtype` as a format string in Apache Arrow C notation. Parameters ---------- dtype : np.dtype Datatype of pandas DataFrame to represent. Returns ------- str Format string in Apache Arrow C notation of the given `dtype`. OrNzd:,ts:M) resolutiontzzConversion of z- to Arrow C format string is not implemented.)" isinstancerrr&npr0r'rZpyarrowZ pyarrow_dtypetypesZ is_decimal precisionscaleZ is_timestampr:unitPYARROW_CTYPESgetr2getattrnameupperpdZ StringDtyperZ is_np_dtypeZ datetime_datar(formatrZ BooleanDtyper%NotImplementedError)r0paZpa_type format_strr9r)r)r*dtype_to_arrow_c_fmths:        rKseries pd.Series allow_copypd.Series | NonecCsXt|jtjs dS|jj}t|jdkrdS|std| }tj ||j|j |j dS)a Rechunk a multi-chunk pyarrow array into a single-chunk array, if necessary. - Returns `None` if the input series is not backed by a multi-chunk pyarrow array (and so doesn't need rechunking) - Returns a single-chunk-backed-Series if the input is backed by a multi-chunk pyarrow array and `allow_copy` is `True`. - Raises a `RuntimeError` if `allow_copy` is `False` and input is a based by a multi-chunk pyarrow array. NzFound multi-chunk pyarrow array, but `allow_copy` is False. Please rechunk the array before calling this function, or set `allow_copy=True`.)r0rDindex) r;r0rFrarrayZ _pa_arraylenchunks RuntimeErrorZcombine_chunksZSeriesrDrQ)rLrNZ chunked_arrayZarrr)r)r* maybe_rechunks rV)r0rr1r2)rLrMrNr r1rO)r$ __future__rtypingnumpyr<Z pandas._libsrZpandas.core.dtypes.dtypesrrrZpandasrF TYPE_CHECKINGZpandas._typingrrArr+rKrVr)r)r)r*s|        "" 8