+
    JV-jó  ã                   óN   € ^ RI Ht ^ RIHtHt ^ RIt^ RIt^ RI	t
RR ltRR ltR# )é    )ÚOrderedDict)ÚdateÚtimeNc                ó  € R\         P                  ! 4       3R\         P                  ! 4       3R\         P                  ! 4       3R\         P                  ! 4       3R\         P
                  ! 4       3R\         P                  ! 4       3R\         P                  ! 4       3R\         P                  ! 4       3R	\         P                  ! 4       3R
\         P                  ! 4       3.
p\        4       p. pV F‰  w  rEVP                  \         P                  ! V\         P                  ! V4      4      4       \        P                   ! ^
VR7      \        P                   ! ^VR7      R\        P                   ! ^VR7      .W$&   K‹  	  VP                  \         P                  ! R\         P                  ! \         P"                  ! 4       4      4      4       \        P$                  ! RR.RR7      R\        P$                  ! R.RR7      \        P$                  ! . RORR7      .VR&   VP                  \         P                  ! R\         P                  ! \         P&                  ! R4      4      4      4       \        P$                  ! . RORR7      RR\        P$                  ! . RORR7      .VR&   V '       d:   VP                  \         P                  ! R\         P                  ! 4       4      4       \(        P*                  ! V4      p\         P,                  ! V4      pWg3# )zÉ
Dataframe with numpy arrays columns of every possible primitive type.

Returns
-------
df: pandas.DataFrame
schema: pyarrow.Schema
    Arrow schema definition that is in line with the constructed df.
Úi1Úi2Úi4Úi8Úu1Úu2Úu4Úu8Úf4Úf8©ÚdtypeNÚstrÚ1ô   Ã¤ÚobjectÚ
datetime64Úmszdatetime64[ms]Ú__index_level_0__©r   Ú2Ú3)z2007-07-13T01:23:34.123456789Nú2010-08-13T05:46:57.437699912)z2007-07-13T02Nr   )ÚpaÚint8Úint16Úint32Úint64Úuint8Úuint16Úuint32Úuint64Úfloat32Úfloat64r   ÚappendÚfieldÚlist_ÚnpÚarangeÚstringÚarrayÚ	timestampÚpdÚ	DataFrameÚschema)Úinclude_indexÚdtypesÚarraysÚfieldsr   Úarrow_dtypeÚdfr3   s   &       Ún/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/pyarrow/tests/pandas_examples.pyÚdataframe_with_arraysr;      s  € ð ”R—W’W“YÐ $¬¯ª«
Ð!3Ø”R—X’X“ZÐ  4¬¯ª«Ð"4Ø”R—X’X“ZÐ  4¬¯ª«Ð"5Ø”R—Y’Y“[Ð! D¬"¯)ª)«+Ð#6Ø”R—Z’Z“\Ð" T¬2¯:ª:«<Ð$8ð	:€Fô ‹]€FØ€FÛ$ÑˆØ�‰”b—h’h˜u¤b§h¢h¨{Ó&;Ó<Ô=ä�IŠI�b Ô&Ü�IŠI�a˜uÔ%ØÜ�IŠI�a˜uÔ%ð	
ˆ‹ñ %ð ‡M�M”"—(’(˜5¤"§(¢(¬2¯9ª9«;Ó"7Ó8Ô9ä
�Š�#�t� HÔ-ØÜ
�Š�#�˜hÔ'Ü
�Š’¨Ô1ð	€Fˆ5�Mð ‡M�M”"—(’(˜<¬¯ª´"·,²,¸tÓ2DÓ)EÓFÔGä
�Šò 3ð (ô	)ð 	ØÜ
�Šò 3ð (ô	)ð€Fˆ<Ñ÷ Ø�‰”b—h’hÐ2´B·H²H³JÓ?Ô@Ü	�Š�fÓ	€BÜ�YŠY�vÓ€Fàˆ:Ðó    c                óš  € \        4       p. pVP                  \        P                  ! R\        P                  ! \        P
                  ! 4       4      4      4       . RO. ROR. \        P                  ! . RO^,          \        P
                  R7      R,          .VR&   VP                  \        P                  ! R\        P                  ! \        P                  ! 4       4      4      4       . RO. ROR. \        P                  ! . RO^,          4      R,          .VR&   VP                  \        P                  ! R\        P                  ! \        P                  ! 4       4      4      4       RR.RR.. RO. .VR&   VP                  \        P                  ! R	\        P                  ! \        P                  ! 4       4      4      4       R
R.RR
.. RO. .VR	&   . \        R^^4      \        R^^4      .\        R^^4      .R\        R^^	4      \        R^^4      ..p\        ^^^4      \        ^^^4      \        ^^;^;4      .. \        ^^^;4      .R\        ^ ^ ^ 4      \        ^^ ^4      \        ^^^4      ..p\        P                  ! 4       V3\        P                  ! 4       V3\        P                  ! R4      V3\        P                  ! R4      V3\        P                   ! R4      V3.pV'       g!   V\        P                   ! R4      V3.,          pV FK  w  rxV R2p	\        P                  ! V4      p
\        P                  ! Wš4      pVP                  V4       W‚V	&   KM  	  V '       d:   VP                  \        P                  ! R\        P
                  ! 4       4      4       \"        P$                  ! V4      p\        P&                  ! V4      pWÍ3# )a  
Dataframe with list columns of every possible primitive type.

Returns
-------
df: pandas.DataFrame
schema: pyarrow.Schema
    Arrow schema definition that is in line with the constructed df.
parquet_compatible: bool
    Exclude types not supported by parquet
r"   Nr   :NNé   ÚdoubleÚ
bytes_listó   1ó   fÚstr_listr   r   iâ  ið  iÐ  i±  i´  Úsr   ÚusÚnsÚ_listr   )
r   é   r>   é   é   é   é   é   é   é	   )r   rH   r>   rI   rJ   )
ç        ç      ð?ç       @ç      @ç      @g      @g      @g      @g       @g      "@)rP   rQ   rR   rS   rT   )rA   ó   2ó   3r   )r   r)   r   r*   r+   r"   r,   r/   r(   Úbinaryr.   r   r   Údate32Údate64Útime32Útime64r1   r2   r3   )r4   Úparquet_compatibler6   r7   Ú	date_dataÚ	time_dataÚtemporal_pairsÚ
value_typeÚdataÚ
field_nameÚ
field_typer*   r9   r3   s   &&            r:   Údataframe_with_listsrd   S   s  € ô ‹]€FØ€Fà
‡M�M”"—(’(˜7¤B§H¢H¬R¯XªX«ZÓ$8Ó9Ô:â&ÚØØ
Ü
�ŠÒ/°!Õ3Ü—x‘xô	!Ø!$õ	&ð€Fˆ7�Oð ‡M�M”"—(’(˜8¤R§X¢X¬b¯jªj«lÓ%;Ó<Ô=â0ÚØØ
Ü
�ŠÒ9¸AÕ=Ó>¸sÕCð€Fˆ8Ñð ‡M�M”"—(’(˜<¬¯ª´"·)²)³+Ó)>Ó?Ô@à	ˆtˆØØ	ˆÚØ
ð€Fˆ<Ñð ‡M�M”"—(’(˜:¤r§x¢x´·	²	³Ó'<Ó=Ô>à	ˆdˆØØ	ˆÚØ
ð€Fˆ:Ñð 	Ü	ˆd�A�qÓ	œ4  b¨"Ó-Ð.Ü	ˆd�A�qÓ	ÐØÜ	ˆd�A�qÓ	œ4  a¨Ó+Ð,ð€Iô 
ˆb�"�bÓ	œ4  1 a›=¬$¨r°2°rÓ*:Ð;Ø
Ü	ˆb�!�R‹ÐØÜ	ˆa��A‹œ˜R  A›¬¨R°°A«Ð7ð€Iô 
�Š‹�iÐ Ü	�Š‹�iÐ Ü	�Š�3‹˜Ð#Ü	�Š�4‹˜)Ð$Ü	�Š�4‹˜)Ð$ð€N÷ ØÜ�YŠY�t‹_˜iÐ(ð
õ 	
ˆó +Ñˆ
Ø"�| 5Ð)ˆ
Ü—X’X˜jÓ)ˆ
Ü—’˜Ó0ˆØ�‰�eÔØ!ˆzÓñ +÷ Ø�‰”b—h’hÐ2´B·H²H³JÓ?Ô@ä	�Š�fÓ	€BÜ�YŠY�vÓ€Fàˆ:Ðr<   )F)FF)Úcollectionsr   Údatetimer   r   Únumpyr,   Úpandasr1   Úpyarrowr   r;   rd   © r<   r:   Ú<module>rk      s"   ðõ$ $ß ã Û Û ô6örYr<   