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UUUUUU5      nU[        R                  L aË  US:X  aH  U  Vs/ s H:  n[        U[        5      (       a  UR                  O[        UR                  /5      PM<     nnOU  Vs/ s H  oÌR                  PM     nn[=        USS9nUS:X  a  UR                  OUR                  nUR?                  U5      (       d$  Sn[        R                  " U[
        [        5       S9  U$ s  snf s  snf s  snf s  snf )aú  
Concatenate pandas objects along a particular axis.

Allows optional set logic along the other axes.

Can also add a layer of hierarchical indexing on the concatenation axis,
which may be useful if the labels are the same (or overlapping) on
the passed axis number.

Parameters
----------
objs : an iterable or mapping of Series or DataFrame objects
    If a mapping is passed, the keys will be used as the `keys`
    argument, unless it is passed, in which case the values will be
    selected (see below). Any None objects will be dropped silently unless
    they are all None in which case a ValueError will be raised.
axis : {0/'index', 1/'columns'}, default 0
    The axis to concatenate along.
join : {'inner', 'outer'}, default 'outer'
    How to handle indexes on other axis (or axes).
ignore_index : bool, default False
    If True, do not use the index values along the concatenation axis. The
    resulting axis will be labeled 0, ..., n - 1. This is useful if you are
    concatenating objects where the concatenation axis does not have
    meaningful indexing information. Note the index values on the other
    axes are still respected in the join.
keys : sequence, default None
    If multiple levels passed, should contain tuples. Construct
    hierarchical index using the passed keys as the outermost level.
levels : list of sequences, default None
    Specific levels (unique values) to use for constructing a
    MultiIndex. Otherwise they will be inferred from the keys.
names : list, default None
    Names for the levels in the resulting hierarchical index.
verify_integrity : bool, default False
    Check whether the new concatenated axis contains duplicates. This can
    be very expensive relative to the actual data concatenation.
sort : bool, default False
    Sort non-concatenation axis. One exception to this is when the
    non-concatenation axis is a DatetimeIndex and join='outer' and the axis is
    not already aligned. In that case, the non-concatenation axis is always
    sorted lexicographically.
copy : bool, default False
    This keyword is now ignored; changing its value will have no
    impact on the method.

    .. deprecated:: 3.0.0

        This keyword is ignored and will be removed in pandas 4.0. Since
        pandas 3.0, this method always returns a new object using a lazy
        copy mechanism that defers copies until necessary
        (Copy-on-Write). See the `user guide on Copy-on-Write
        <https://pandas.pydata.org/docs/dev/user_guide/copy_on_write.html>`__
        for more details.

Returns
-------
object, type of objs
    When concatenating all ``Series`` along the index (axis=0), a
    ``Series`` is returned. When ``objs`` contains at least one
    ``DataFrame``, a ``DataFrame`` is returned. When concatenating along
    the columns (axis=1), a ``DataFrame`` is returned.

See Also
--------
DataFrame.join : Join DataFrames using indexes.
DataFrame.merge : Merge DataFrames by indexes or columns.

Notes
-----
The keys, levels, and names arguments are all optional.

A walkthrough of how this method fits in with other tools for combining
pandas objects can be found `here
<https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html>`__.

It is not recommended to build DataFrames by adding single rows in a
for loop. Build a list of rows and make a DataFrame in a single concat.

Examples
--------
Combine two ``Series``.

>>> s1 = pd.Series(["a", "b"])
>>> s2 = pd.Series(["c", "d"])
>>> pd.concat([s1, s2])
0    a
1    b
0    c
1    d
dtype: str

Clear the existing index and reset it in the result
by setting the ``ignore_index`` option to ``True``.

>>> pd.concat([s1, s2], ignore_index=True)
0    a
1    b
2    c
3    d
dtype: str

Add a hierarchical index at the outermost level of
the data with the ``keys`` option.

>>> pd.concat([s1, s2], keys=["s1", "s2"])
s1  0    a
    1    b
s2  0    c
    1    d
dtype: str

Label the index keys you create with the ``names`` option.

>>> pd.concat([s1, s2], keys=["s1", "s2"], names=["Series name", "Row ID"])
Series name  Row ID
s1           0         a
             1         b
s2           0         c
             1         d
dtype: str

Combine two ``DataFrame`` objects with identical columns.

>>> df1 = pd.DataFrame([["a", 1], ["b", 2]], columns=["letter", "number"])
>>> df1
  letter  number
0      a       1
1      b       2
>>> df2 = pd.DataFrame([["c", 3], ["d", 4]], columns=["letter", "number"])
>>> df2
  letter  number
0      c       3
1      d       4
>>> pd.concat([df1, df2])
  letter  number
0      a       1
1      b       2
0      c       3
1      d       4

Combine ``DataFrame`` objects with overlapping columns
and return everything. Columns outside the intersection will
be filled with ``NaN`` values.

>>> df3 = pd.DataFrame(
...     [["c", 3, "cat"], ["d", 4, "dog"]], columns=["letter", "number", "animal"]
... )
>>> df3
  letter  number animal
0      c       3    cat
1      d       4    dog
>>> pd.concat([df1, df3], sort=False)
  letter  number animal
0      a       1    NaN
1      b       2    NaN
0      c       3    cat
1      d       4    dog

Combine ``DataFrame`` objects with overlapping columns
and return only those that are shared by passing ``inner`` to
the ``join`` keyword argument.

>>> pd.concat([df1, df3], join="inner")
  letter  number
0      a       1
1      b       2
0      c       3
1      d       4

Combine ``DataFrame`` objects horizontally along the x axis by
passing in ``axis=1``.

>>> df4 = pd.DataFrame(
...     [["bird", "polly"], ["monkey", "george"]], columns=["animal", "name"]
... )
>>> pd.concat([df1, df4], axis=1)
  letter  number  animal    name
0      a       1    bird   polly
1      b       2  monkey  george

Prevent the result from including duplicate index values with the
``verify_integrity`` option.

>>> df5 = pd.DataFrame([1], index=["a"])
>>> df5
   0
a  1
>>> df6 = pd.DataFrame([2], index=["a"])
>>> df6
   0
a  2
>>> pd.concat([df5, df6], verify_integrity=True)
Traceback (most recent call last):
    ...
ValueError: Indexes have overlapping values: ['a']

Append a single row to the end of a ``DataFrame`` object.

>>> df7 = pd.DataFrame({"a": 1, "b": 2}, index=[0])
>>> df7
    a   b
0   1   2
>>> new_row = pd.Series({"a": 3, "b": 4})
>>> new_row
a    3
b    4
dtype: int64
>>> pd.concat([df7, new_row.to_frame().T], ignore_index=True)
    a   b
0   1   2
1   3   4
NzCannot set ignore_index=z) and specify keys. Either should be used.zìThe copy keyword is deprecated and will be removed in a future version. Copy-on-Write is active in pandas since 3.0 which utilizes a lazy copy mechanism that defers copies until necessary. Use .copy() to make an eager copy if necessary.)Ú
stacklevelrA   FÚinnerTz?Only can inner (intersect) or outer (union) join the other axisr   c              3  óL   #   • U  H  n[        U[        5      (       + v •  M     g 7fr3   )Ú
isinstancer   )Ú.0Úindexs     r7   Ú	<genexpr>Úconcat.<locals>.<genexpr>¤  s   é € ÐUÂ_¸E”z %¬Ó7×7Ñ7Â_ùs   ‚"$c              3  ó,   #   • U  H
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 59Ó9²D¨SŸyœy±DˆOÐ9Ü,¨_À5ÑIÐØ(¨A›~ˆv�|Š|°6·>±>ˆØ#×*Ñ*¨4×0Ñ0ðCð ô �MŠM˜#œ~Ô:JÓ:LÒMà€Mùòsùò
 :ùòDùò
 :s   ÂAL/Ã L4É,AL9Ê4L>c                ó®  • / nSnUR                   nU  H¾  nUR                   nX†:X  a  O˜X†S-
  :w  a  [        S5      e[        USS 5      n	Sn
U(       d  U	c[  US:X  a  U	c  Sn	Sn
OU	c	  Sn
Un	US-  nUR                  USS9n[	        U[
        5      (       a  U
(       a  [        X™S-   S5      Ul        OUR                  X—0SS9nUR                  U5        MÀ     U$ )Nr   rS   z>cannot concatenate unaligned mixed dimensional NDFrame objectsrZ   FT)r1   )	r_   rT   rd   Ú_constructorrF   r   ÚrangerY   Úappend)r6   rk   r+   r)   Únew_objsÚcurrent_columnÚmax_ndimri   r_   rZ   Úrename_columnss              r7   rc   rc   ÷  s   € ð €Hà€NØ�{‰{€HÛˆØ�x‰xˆØÓØà ‘\Ó!ÜØPóð ô
 ˜3 ¨Ó-ˆDØ"ˆNÞ˜t™|Ø˜1“9ð ‘|Ø ˜Ø)-˜øð ‘\Ø%)�NØ)�DØ" aÑ'�NØ×)Ñ)¨#°EÐ)Ð:�Ü˜c¤<×0Ñ0¶^Ü"'¨°Q©h¸Ó":�C”Køà×)Ñ)¨4¨+¸EÐ)ÐB�à�‰˜ÖñA ðD €Or:   c                óÔ  • U(       Gal  [        SU S   5      nUS:X  aÚ  [        R                  " U 5      nUR                  nU  Vs/ s H  oîR                  PM     nn[        USS9nU(       a  [        [        U5      5      nO[        U UUUUUU	5      n[        UR                  5      R                  UUS9nUR                  UUR                  S9nUUl        UR                  [         R"                  " X S9SS9$ [%        ['        U 5      5      nUR(                  n[+        U U S   R-                  S5      UUS	9n[        XX&XxU	5      nU" UUS
S9nUUl        UR                  [         R"                  " X S9SS9$ [        SU S   5      n/ n[1        U UUUUU	U
UUU5
      nU  H}  n0 n['        U5       HL  u  nnUU:X  a  M  UR                  SU-
     nUR3                  U5      (       a  M8  UR5                  U5      UU'   MN     UR7                  UR                  U45        M     [9        UUUS
S9nUR                  UUR                  S9n U R                  [         R"                  " X S9SS9$ s  snf )Nr(   r   )r)   )rH   ©Úaxes)Ú
input_objsr6   r8   )Úmethod©r)   rg   r0   F)rH   r1   r'   rS   )Úconcat_axisr1   )r   ÚcomÚconsensus_name_attrru   Ú_valuesr   r   rb   Ú_get_concat_axis_seriesÚtypeÚ_mgrÚ
from_arrayÚ_constructor_from_mgrr~   Ú_nameÚ__finalize__ÚtypesÚSimpleNamespaceÚdictÚ	enumerateÚ_constructor_expanddimr   ra   rY   Únew_axesrf   Úget_indexerrw   r   )!r6   rn   rl   r+   rg   r0   r,   r-   r/   r.   r)   rk   rZ   ÚconsÚserÚarrsÚresÚ	new_indexÚmgrrp   ÚdatarH   rY   ÚdfÚmgrs_indexersÚresult_axesri   ÚindexersÚaxÚ
new_labelsÚ
obj_labelsÚnew_dataÚouts!                                    r7   re   re   )  s¦  € ÷" Ü�h  Q¡Ó(ˆð �a‹<Ü×*Ò*¨4Ó0ˆDØ×&Ñ&ˆDá+/Ó0ª4 C—K”K©4ˆDÐ0ä ¨1Ñ-ˆCæÜ#0´°S³Ó#:‘	ä3ØØ ØØØØ$Øó�	ô �v—{‘{Ó#×.Ñ.¨s¸)Ð.ÐDˆCà×1Ñ1°#¸C¿H¹HÐ1ÐEˆFØˆFŒLØ×&Ñ&Ü×%Ò%°ÑAÈ(ð 'ð ð ô œ	 $›Ó(ˆDð ×0Ñ0ˆDä*ØØ˜!‘W×4Ñ4°QÓ7Ø#Øñ	ˆEô .Ø G°6ÈUóˆGñ �d %¨eÑ4ˆBØ ˆBŒJØ—?‘?Ü×%Ò%°ÑAÈ(ð #ð ð ô �k 4¨¡7Ó+ˆàˆÜØØØØØØØØØØó
ˆó ˆCØˆHÜ"+¨KÖ"8‘��Jà˜“=áð !ŸX™X a¨"¡fÑ-�
Ø!×(Ñ(¨×4Ó4Ø#-×#9Ñ#9¸*Ó#E�H˜R“Lñ #9ð × Ñ  #§(¡(¨HÐ!5Ö6ñ ô (Ø˜;°GÀ%ñ
ˆð ×*Ñ*¨8¸(¿-¹-Ð*ÐHˆØ×ÑÜ×!Ò!¨TÑ=Àhð  ð 
ð 	
ùòi 1s   ÁI%c
                ó¨   • [        S5       V
s/ s H7  n
X¡:X  a  [        U UU	UUUU5      O[        U U S   R                  U
5      UUS9PM9     sn
$ s  sn
f )z1Return the new [index, column] result for concat.é   r   r�   )rv   Ú_get_concat_axis_dataframer   ra   )r6   rl   rg   r0   r,   r.   r)   r-   r/   r+   Úis              r7   r’   r’   ›  s|   € ô< �q”ó#ò" ˆAð ‹<ô 	#ØØØØØØØô	
ô $ØØ�a‘×0Ñ0°Ó3ØØñ	
ò	
ñ  ñ#ð ùò s   Ž>Ac                óî  • U(       a  [        [        U 5      5      $ US:X  aŒ  U  Vs/ s H  owR                  PM     nnUc  Ub  [        S5      e[	        U5      n	O[        XƒXF5      n	U(       a?  U	R                  (       d.  X™R                  5          R                  5       n
[        SU
 35      eU	$ Uc§  S/[        U 5      -  nSnSn[        U 5       H_  u  pçUR                  S:w  a"  [        S[        U5      R                   S35      eUR                  b  UR                  X¾'   S	nMV  XËU'   US-  nMa     U(       a  [        U5      $ [        [        U 5      5      $ [!        U5      R#                  U5      $ s  snf )
z<Return result concat axis when concatenating Series objects.r   Nú+levels supported only when keys is not Noneú!Indexes have overlapping values: FrS   z6Cannot concatenate type 'Series' with object of type 'Ú'T)r   rb   rH   rT   Ú_concat_indexesÚ_make_concat_multiindexÚ	is_uniqueÚ
duplicatedÚuniquer�   r_   Ú	TypeErrorr‡   Ú__name__rZ   r   r   Ú	set_names)r6   r+   rl   r,   r-   r/   r.   ÚxÚindexesr‚   ÚoverlapÚresult_namesÚnumÚ	has_namesr§   s                  r7   r†   r†   ½  sh  € ö ÜœS ›YÓ'Ð'Ø	�A‹Ù$(Ó)¢D˜q—7”7¡DˆÐ)Ø‰<ØÑ!Ü Ð!NÓOÐOÜ)¨'Ó2‰Kä1°'ÀÓOˆKÞ K×$9×$9Ø!×"8Ñ"8Ó":Ñ;×BÑBÓDˆGÜÐ@ÀÀ	ÐJÓKÐKØÐØ	‰Ø(, v´°D³	Ñ'9ˆØˆØˆ	Ü˜d–O‰DˆAØ�v‰v˜‹{Üð'Ü'+¨A£w×'7Ñ'7Ð&8¸ð;óð ð �v‰vÑ!Ø"#§&¡&�‘Ø ’	à"%˜Q‘Ø�q‘’ñ $ö Ü˜Ó&Ð&ä ¤ T£Ó+Ð+ä˜DÓ!×+Ñ+¨EÓ2Ð2ùòA *s   ¦E2c                óX  ^• U4S jU  5       nU(       a  [        [        S U 5       5      5      $ [        U5      nUc  Ub  [        S5      e[	        U5      n	O[        XƒXT5      n	U(       a?  U	R                  (       d.  X™R                  5          R                  5       n
[        SU
 35      eU	$ )z?Return result concat axis when concatenating DataFrame objects.c              3  ó@   >#   • U  H  oR                   T   v •  M     g 7fr3   r}   )rG   r´   r)   s     €r7   rI   Ú-_get_concat_axis_dataframe.<locals>.<genexpr>÷  s   øé € Ð.ª A—6‘6˜$–<ªùs   ƒc              3  ó8   #   • U  H  n[        U5      v •  M     g 7fr3   )rb   )rG   r§   s     r7   rI   r¼   ú  s   é € Ð =²¨A¤ Q§ ²ùs   ‚r©   rª   )	r   ÚsumÚlistrT   r¬   r­   r®   r¯   r°   )r6   r)   r+   r,   r.   r-   r/   Úindexes_genrµ   r‚   r¶   s    `         r7   r¦   r¦   í  s�   ø€ ô /©Ó.€KæÜœSÑ =±Ó =Ó=Ó>Ð>ä�{Ó#ˆà�|ØÑÜÐJÓKÐKÜ% gÓ.‰ä-¨g¸VÓKˆæ × 5× 5Ø×4Ñ4Ó6Ñ7×>Ñ>Ó@ˆÜÐ<¸W¸IÐFÓGÐGàÐr:   c                ó@  • [        U [        R                  5      (       a(  Uc  U R                  5       nU Vs/ s H  o U   PM	     n nOw[        U [        [
        45      (       d  [        U 5      (       a"  [        S[        U 5      R                   S35      e[        U [        R                  5      (       d  [        U 5      n [        U 5      S:X  a  [        S5      eUb\  [        U[        5      (       d  [        U5      n[        U5      [        U 5      :w  a$  [        S[        U5       S[        U 5       S35      e/ n/ n[        5       n[!        U 5       H|  u  pgUc  M
  [        U[        [
        45      (       a?  UR#                  U5        UR#                  U5        UR%                  UR&                  5        Md  S[        U5       S	3n[        U5      e   Ub)  [        U5      [        U5      :  a  UR)                  U5      n[        U5      S:X  a  [        S
5      eXAU4$ s  snf )a-  
Returns
-------
clean_objs : list[Series | DataFrame]
    List of DataFrame and Series with Nones removed.
keys : Index | None
    None if keys was None
    Index if objs was a Mapping or keys was not None. Filtered where objs was None.
ndim : set[int]
    Unique .ndim attribute of obj encountered.
zTfirst argument must be an iterable of pandas objects, you passed an object of type "Ú"r   zNo objects to concatenatezThe length of the keys (z7) must match the length of the objects to concatenate (Ú)z#cannot concatenate object of type 'z+'; only Series and DataFrame objs are validzAll objects passed were None)rF   r   r#   r,   r   r   r   r±   r‡   r²   ÚSizedr¿   rb   rT   r   Úsetr�   rw   Úaddr_   Útake)	r6   r,   ÚkÚkey_indicesÚ
clean_objsrh   r§   ri   rs   s	            r7   rX   rX     sï  € ô �$œŸ™×$Ñ$Ø‰<Ø—9‘9“;ˆDÙ!%Ó&¢˜A�Q”¡ˆÐ&ˆÜ	�Dœ9¤lÐ3×	4Ñ	4¼	À$¿¹Üð6Ü6:¸4³j×6IÑ6IÐ5JÈ!ðMó
ð 	
ô ˜œcŸi™i×(Ñ(Ü�D‹zˆä
ˆ4ƒy�Aƒ~ÜÐ4Ó5Ð5àÑÜ˜$¤×&Ñ&Ü˜“;ˆDÜˆt‹9œ˜D›	Ó!äØ*¬3¨t«9¨+ð 6=Ü=@À»Y¸KÀqðJóð ð €KØ€JÜ‹E€EÜ˜D–/‰ˆØ‰;ÙÜ˜œi¬Ð6×7Ñ7Ø×Ñ˜qÔ!Ø×Ñ˜cÔ"Ø�I‰I�c—h‘hÖð 6´d¸3³i°[ð A;ð ;ð ô ˜C“.Ð ñ "ð ÑœC Ó,¬s°4«yÓ8Ø�y‰y˜Ó%ˆä
ˆ:ƒ˜!ÓÜÐ7Ó8Ð8à˜UÐ"Ð"ùò] 's   ·Hc                óœ  • [        U5      S:”  aF  [        U5      nU  H4  nUR                  U:X  d  M  [        UR                  5      (       d  M1  Xp4s  $    OlUci  Ucf  Ucc  U(       d\  UR                  5       S:X  a/  U  Vs/ s H!  n[        UR                  5      (       d  M  UPM#     nnOU n[        U5      (       a  US   U4$ U S   U 4$ s  snf )NrS   r¥   r   )rb   Úmaxr_   r¾   ÚshapeÚpop)	r6   rh   r,   r.   r-   rg   rz   ri   Únon_emptiess	            r7   r^   r^   O  s¶   € ô ˆ5ƒz�Aƒ~Ü�u“:ˆÛˆCØ�x‰x˜8Õ#¬¨C¯I©I¯«Ø�yÒ ò ð 
‰˜%™-¨F©NÆ9ð �9‰9‹;˜!ÓÙ*.ÓAª$ 3´#°c·i±i·.Ÿ3©$ˆKÐAˆKàˆKäˆ{×ÑØ˜q‘> ;Ð.Ð.à�‰7�Dˆ=Ðùò Bs   Á>C	Â C	c                ó0   • U S   R                  U SS  5      $ )Nr   rS   )rw   )rµ   s    r7   r¬   r¬   m  s   € Ø�1‰:×Ñ˜W Q R˜[Ó)Ð)r:   c                óp   • U  H0  nUR                   (       a  M  [        SUR                  5        35      e   g )NzLevel values not unique: )r®   rT   Útolist)r-   Úlevels     r7   Úvalidate_unique_levelsrÔ   q  s/   € ÛˆØ��‰ÜÐ8¸¿¹»Ð8HÐIÓJÐJò r:   c           
     ó8
  ^• Uc  [        US   [        5      (       d  Ubm  [        U5      S:”  a^  [        [	        USS065      nUc  S /[        U5      -  nUc  [        U5      u  pROtU Vs/ s H  n[        U5      PM     nn[        U5        OMU/nUc  S /nUc  [        U5      R                  5       /nO&U Vs/ s H  n[        U5      PM     nn[        U5        [        U 5      (       Gdp  / n[	        XBSS9 GHX  u  p‰/ n
[        U[        5      (       av  UR                  U	5      (       a`  U  Vs/ s H  n[        U5      PM     nnUR                  [        R                  " [        R                  " [        U5      5      U5      5        M“  [	        X€SS9 H’  u  pÞ[!        U	5      [!        U5      -  X�:H  -  nUR#                  5       (       d  [%        SU SU	 35      e[        R&                  " U5      S   S   nU
R                  [        R                  " U[        U5      5      5        M”     UR                  [        R(                  " U
5      5        GM[     [+        U 5      n[        U[,        5      (       a7  UR/                  UR0                  5        UR/                  UR2                  5        O0[5        U5      u  nnUR                  U5        UR                  U5        [        U5      [        U5      :X  a  [        U5      nOQ[        U  Vs1 s H  o»R6                  iM     sn5      S:X  d  [9        S5      e[        U5      [        [;        U 6 5      -   n[-        X'US	S
9$ U S   n[        U5      n[        U 5      m[        U5      n[        U5      n/ n[	        XBSS9 Hs  u  p‰[        U5      nU	R=                  U5      nUS:H  nUR#                  5       (       a  [%        SUU   < 35      eUR                  [        R                  " UU5      5        Mu     [        U[,        5      (       aA  UR/                  UR0                  5        UR/                  U4S jUR2                   5       5        OdUR                  UR                  5       5        UR                  5       R=                  U5      nUR                  [        R>                  " UT5      5        [        U5      [        U5      :  a  UR/                  UR@                  5        [-        UUUS	S
9$ s  snf s  snf s  snf s  snf )Nr   rS   ÚstrictT)rÖ   zKey z not in level z@Cannot concat indices that do not have the same number of levelsF)r-   Úcodesr.   r/   rP   z"Values not found in passed level: c              3  óR   >#   • U  H  n[         R                  " UT5      v •  M     g 7fr3   )ÚnpÚtile)rG   ÚlabÚkpiecess     €r7   rI   Ú*_make_concat_multiindex.<locals>.<genexpr>Û  s   øé € ÐJº/°3œŸš  g×.Ð.º/ùs   ƒ$')!rF   Útuplerb   r¿   Úzipr   r   rÔ   r°   r   r   rf   rw   rÙ   ÚrepeatÚaranger   r[   rT   ÚnonzeroÚconcatenater¬   r   Úextendr-   r×   r   ÚnlevelsÚAssertionErrorr   r“   rÚ   r.   )rµ   r,   r-   r.   ÚzippedÚ_r´   Ú
codes_listÚhlevelrÓ   Ú	to_concatÚidxÚlensÚkeyrH   Úmaskr§   Úconcat_indexr×   Ú
categoriesr˜   ÚnÚ	new_namesÚ
new_levelsÚ	new_codesÚhlevel_indexÚmappedÚsingle_codesrÜ   s                               @r7   r­   r­   w  sY  ø€ Ø‰œ: d¨1¡g¬u×5Ñ5ØÑœs 6›{¨Q›ä”c˜4Ð-¨Ñ-Ó.ˆØ‰=Ø�FœS ›[Ñ(ˆEà‰>Ü0°Ó8‰IˆAˆvá/5Ó6ªv¨!”l 1–o©vˆFÐ6Ü" 6Õ*à�ˆØ‰=Ø�FˆEà‰>Ü" 4Ó(×/Ñ/Ó1Ð2‰Fá/5Ó6ªv¨!”l 1–o©vˆFÐ6Ü" 6Ô*ä˜G×$Ò$Øˆ
ô
 ! ¸Õ=‰MˆFØˆIÜ˜&¤%×(Ñ(¨V¯]©]¸5×-AÑ-AÙ,3Ó4ªG Sœ˜Cž©G�Ð4Ø×!Ñ!¤"§)¢)¬B¯IªI´c¸&³kÓ,BÀDÓ"IÖJä"% f¸dÔ"C‘J�Cä  ›K¬$¨s«)Ñ3¸¹ÑE�DØŸ8™8Ÿ:™:Ü(¨4°¨u°NÀ5À'Ð)JÓKÐKÜŸ
š
 4Ó(¨Ñ+¨AÑ.�Aà×$Ñ$¤R§Y¢Y¨q´#°e³*Ó%=Ö>ñ #Dð ×!Ñ!¤"§.¢.°Ó";×<ñ >ô  ' wÓ/ˆô �l¤J×/Ñ/Ø�M‰M˜,×-Ñ-Ô.Ø×Ñ˜l×0Ñ0Õ1ä 7¸Ó EÑˆE�:Ø�M‰M˜*Ô%Ø×Ñ˜eÔ$äˆu‹:œ˜V›Ó$Ü˜“K‰Eô ©wÓ7ªw¨Ÿœ©wÑ7Ó8¸AÓ=Ü$ØVóð ô
 ˜“K¤$Ô':¸GÐ'DÓ"EÑEˆEäØ°5È5ñ
ð 	
ð ˜‘
€IÜˆI‹€AÜ�'‹l€Gô �U“€IÜ�f“€Jð €Iô ˜V°DÔ9‰ˆÜ# FÓ+ˆØ×"Ñ" <Ó0ˆà˜‰|ˆØ�8‰8�:‰:ÜØ4°\À$Ñ5GÑ4JÐKóð ð 	×ÑœŸš 6¨1Ó-Ö.ñ :ô �)œZ×(Ñ(Ø×Ñ˜)×*Ñ*Ô+Ø×ÑÔJ¸)¿/º/ÓJÕJà×Ñ˜)×*Ñ*Ó,Ô-Ø ×'Ñ'Ó)×5Ñ5°iÓ@ˆØ×ÑœŸš ¨wÓ7Ô8ä
ˆ9ƒ~œ˜J›Ó'Ø×Ñ˜Ÿ™Ô)äØ °)Èeñð ùòE 7ùò 7ùò 5ùò8 8s   Á*TÂ8TÄ.TÌT)r6   z3Iterable[DataFrame] | Mapping[HashableT, DataFrame]r)   úLiteral[0, 'index']r*   Ústrr+   r]   r,   úIterable[Hashable] | Noner.   úlist[HashableT] | Noner/   r]   r0   r]   r1   úbool | lib.NoDefaultÚreturnr'   )r6   z-Iterable[Series] | Mapping[HashableT, Series]r)   rù   r*   rú   r+   r]   r,   rû   r.   rü   r/   r]   r0   r]   r1   rý   rþ   r(   )r6   úEIterable[Series | DataFrame] | Mapping[HashableT, Series | DataFrame]r)   rù   r*   rú   r+   r]   r,   rû   r.   rü   r/   r]   r0   r]   r1   rý   rþ   úDataFrame | Series)r6   rÿ   r)   zLiteral[1, 'columns']r*   rú   r+   r]   r,   rû   r.   rü   r/   r]   r0   r]   r1   rý   rþ   r'   )r6   rÿ   r)   r$   r*   rú   r+   r]   r,   rû   r.   rü   r/   r]   r0   r]   r1   rý   rþ   r   )r6   rÿ   r)   r$   r*   rú   r+   r]   r,   rû   r.   rü   r/   r]   r0   rý   r1   rý   rþ   r   )
r6   úlist[Series | DataFrame]rk   zSeries | DataFramer+   r]   r)   r%   rþ   r  )r6   r  rn   r]   rl   r%   r+   r]   rg   r]   r0   rý   r,   rû   r/   r]   r.   rü   r)   r%   )r6   r  rl   r%   rg   r]   r0   rý   r,   rû   r.   rü   r)   r%   r/   r]   r+   r]   rþ   úlist[Index])r6   r  r+   r]   rl   r%   r,   rû   r/   r]   r.   rü   rþ   r   )r6   r  r)   r%   r+   r]   r,   rû   r.   rü   r/   r]   rþ   r   )r6   rÿ   rþ   z7tuple[list[Series | DataFrame], Index | None, set[int]])r6   r  rh   zset[int]rg   r]   rþ   z3tuple[Series | DataFrame, list[Series | DataFrame]])rþ   r   )r-   r  rþ   ÚNone)NN)rþ   r   )NÚ__doc__Ú
__future__r   Úcollectionsr   Ú	itertoolsr   r�   Útypingr   r   r   r	   rV   ÚnumpyrÙ   Úpandas._libsr
   Úpandas.errorsr   Úpandas.util._decoratorsr   Úpandas.util._exceptionsr   Úpandas.core.dtypes.commonr   r   Úpandas.core.dtypes.concatr   Úpandas.core.dtypes.genericr   r   Úpandas.core.dtypes.missingr   Úpandas.core.arrays.categoricalr   r   Úpandas.core.commonÚcoreÚcommonrƒ   Úpandas.core.indexes.apir   r   r   r   r   r   r   r   Úpandas.core.indexes.datetimesr   Úpandas.core.internalsr   Úcollections.abcr    r!   r"   r#   Úpandas._typingr$   r%   r&   r@   r'   r(   r8   rU   rc   re   r’   r†   r¦   rX   r^   r¬   rÔ   r­   r4   r:   r7   Ú<module>r     s  ðñõ #å Ý Û ÷ó ó ã å Ý (Ý .Ý 4÷õ 4÷õ ,÷÷ !Ð  ÷	÷ 	ó 	õ 8Ý 6æ÷ó ÷ñ ÷ð 
ð !$ØØØ&)ØØ$'Ø ØØ!$ñØ
=ðð ðð ð	ð
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ðð 
ð !$ØØØ&)ØØ$'Ø ØØ!$ñØ
7ðð ðð ð	ð
 ðð $ðð "ðð ðð ðð ðð ôó 
ðð 
ð !$ØØØ&)ØØ$'Ø ØØ!$ñØ
Oðð ðð ð	ð
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ðð 
ð
 ØØ&)ØØ$'Ø ØØ!$ñØ
Oðð  ðð ð	ð
 ðð $ðð "ðð ðð ðð ðð ôó 
ðð 
ð ØØØ&)ØØ$'Ø ØØ!$ñØ
Oðð ðð ð	ð
 ðð $ðð "ðð ðð ðð ðð ôó 
ðñ ˆHÓð ØØØ&*ØØ$(Ø"Ø!$§¡Ø!$§¡ñVØ
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 ðVð $ðVð "ðVð ðVð ðVð ðVð ôVó ðVðr
/Ø
"ð/àð/ð ð/ð ð	/ð
 ô/ðdo
Ø
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àðo
ð ðo
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ð
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ðdØ
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"ðà
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Oð@#ð =ô@#ðFØ
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