o ҷh@sdZddlmZddlZddlZddlmZddlm Z m Z m Z ej r)ddl mZiddd d d d d dddddddddddddddddddd d!d"d#d$d%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d4 ZGd5d6d6ZGd7d8d8Zd?d=d>ZdS)@zE Utility functions and objects for implementing the interchange API. ) annotationsN)lib) ArrowDtypeCategoricalDtypeDatetimeTZDtype)DtypeObjnullnboolbuint8Cuint16Suint32Iuint64Lint8cint16int32iint64l halffloatefloatfdoublegstringubinaryzz time32[s]ttsz time32[ms]ttmttuttntdDtdmztss:ztsm:ztsu:ztsn:tDstDmtDutDn) z time64[us]z time64[ns]z date32[day]z date64[ms]z timestamp[s]z timestamp[ms]z timestamp[us]z timestamp[ns]z duration[s]z duration[ms]z duration[us]z duration[ns]c@s\eZdZdZdZdZdZdZdZdZ dZ d Z d Z d Z d Zd ZdZdZdZdZdZdZdZdS) ArrowCTypesz Enum for Apache Arrow C type format strings. The Arrow C data interface: https://arrow.apache.org/docs/format/CDataInterface.html#data-type-description-format-strings r r rr srrrrrrrr r"Ur)r*zts{resolution}:{tz}ztt{resolution}N)__name__ __module__ __qualname____doc__NULLBOOLINT8UINT8INT16UINT16INT32UINT32INT64UINT64FLOAT16FLOAT32FLOAT64STRING LARGE_STRINGDATE32DATE64 TIMESTAMPTIMErIrIP/var/www/html/venv/lib/python3.10/site-packages/pandas/core/interchange/utils.pyr/:s*r/c@s eZdZdZdZdZdZdZdS) Endiannessz.Enum indicating the byte-order of a data-type.<>=|N)r2r3r4r5LITTLEBIGNATIVENArIrIrIrJrK\s rKdtyperreturnstrcCs$t|trtjS|tdkrtjSt|trSddl}|j }|j |r.d|j d|j S|j |rE|jdurEd|jdd|jStt|d}|durS|Stt|jd}|durb|St|dryt|dd}tjj|d d St|trtjj|jd|jd Std |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.) isinstancerr/r>nprTrCrpyarrow pyarrow_dtypetypes is_decimal precisionscale is_timestampr^unitPYARROW_CTYPESgetrVgetattrnameupperr is_np_dtype datetime_datarGformatrNotImplementedError)rTpapa_type format_strr]rIrIrJdtype_to_arrow_c_fmtes2      ru)rTrrUrV)r5 __future__rtypingnumpyr` pandas._libsrpandas.core.dtypes.dtypesrrr TYPE_CHECKINGpandas._typingrrir/rKrurIrIrIrJsv        !"