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    instead represented by a `PSet` object, which can be created in `O(1)` time.

    The `PMapView` class is overloaded by the `PMapValues` and `PMapItems`
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    Parameters
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PMapValuesaView type for the values of the persistent map/dict type `PMap`.

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„Zd„Zd„Zd„Zd„Zd„Zd„Zd„ZejZd„ZeZeZeZd„Zd„Z d„Z!d„Z"d„Z#d„Z$d„Z%d„Z&e&Z'd„Z(d„Z)d „Z*Gd!„d"e+¦«Z,d#„Z-ˆxZ.S)$raè
    Persistent map/dict. Tries to follow the same naming conventions as the built in dict where feasible.

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    create an instance.

    Was originally written as a very close copy of the Clojure equivalent but was later rewritten to closer
    re-assemble the python dict. This means that a sparse vector (a PVector) of buckets is used. The keys are
    hashed and the elements inserted at position hash % len(bucket_vector). Whenever the map size exceeds 2/3 of
    the containing vectors size the map is reallocated to a vector of double the size. This is done to avoid
    excessive hash collisions.

    This structure corresponds most closely to the built in dict type and is intended as a replacement. Where the
    semantics are the same (more or less) the same function names have been used but for some cases it is not possible,
    for example assignments and deletion of values.

    PMap implements the Mapping protocol and is Hashable. It also supports dot-notation for
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    Random access and insert is log32(n) where n is the size of the map.

    The following are examples of some common operations on persistent maps

    >>> m1 = m(a=1, b=3)
    >>> m2 = m1.set('c', 3)
    >>> m3 = m2.remove('a')
    >>> m1 == {'a': 1, 'b': 3}
    True
    >>> m2 == {'a': 1, 'b': 3, 'c': 3}
    True
    >>> m3 == {'b': 3, 'c': 3}
    True
    >>> m3['c']
    3
    >>> m3.c
    3
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PMap.__iter__¼ó€Ø}Š}‰ŒÐrcó —td¦«‚r"r#rs rr$zPMap.__reversed__Âr%rcó¤—	||S#t$r;}td t|¦«j|¦«¦«|‚d}~wwxYw)Nz{0} has no attribute '{1}')rbÚAttributeErrorÚformatrr&)rr]Úes   rÚ__getattr__zPMap.__getattr__Åsa€ð	Ø˜”9ÐøÝð	ð	ð	Ý Ø,×3Ò3µD¸±J´JÔ4GÈÑMÔMñôàð
øøøøð	øøøs‚
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Á
Ac#óFK—| ¦«D]	\}}|V—Œ
dSr©rG)rrrcs   rrlz
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dSrru)rrcr s   rr/zPMap.itervaluesÔrvrc#ó>K—|jD]}|r|D]\}}||fV—ŒŒdSr)rQ)rr_rr s    rrGzPMap.iteritemsØsLèè€Ø”mð	ð	ˆFØð
Ø"ðð‘DAqØ˜Q˜$JJJJøð	ð	rcó —t|¦«Sr)r,rs rÚvalueszPMap.valuesÞs€Ý˜$ÑÔÐrcó$—ddlm}||¦«S)Né)ÚPSet)Ú_psetr})rr}s  rÚkeysz	PMap.keysás"€ØÐÐÐÐÐØˆtD‰zŒzÐrcó —t|¦«Sr)rErs rÚitemsz
PMap.itemsås€Ý˜‰ŒÐrcó—|jSr©rPrs rrzPMap.__len__ès
€ØŒzÐrcó`—d tt|¦«¦«¦«S)Nz	pmap({0}))rqÚstrÚdictrs rr=z
PMap.__repr__ës"€Ø×!Ò!¥#¥d¨4¡j¤j¡/¤/Ñ2Ô2Ð2rcóÀ—||urdSt|t¦«stSt|¦«t|¦«krdSt|t¦«rˆt|d¦«r"t|d¦«r|j|jkrdS|j|jkrdSt| 	¦«¦«t| 	¦«¦«kSt|t¦«r%t| 	¦«¦«|kSt| 	¦«¦«t| 
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rÚNotImplementedrrÚhasattrrSrQr†rGr©rÚothers  rrBzPMap.__eq__îs.€Ø5ˆ=ˆ=Ø4Ý˜%¥Ñ)Ô)ð	"Ý!Ð!Ýˆt‰9Œ9˜E™
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$ð	3Ý˜ŸšÑ(Ô(Ñ)Ô)¨UÒ2Ð2ÝD—N’NÑ$Ô$Ñ%Ô%¨e¯kªk©m¬mÑ)<Ô)<Ò<Ð<rcó —td¦«‚)NzPMaps are not orderabler#rŠs  rÚ__lt__zPMap.__lt__s€ÝÐ1Ñ2Ô2Ð2rcó*—| ¦«Sr)r=rs rr:zPMap.__str__	rmrcó–—t|d¦«s3tt| ¦«¦«¦«|_|jS)NrS)r‰r\Ú	frozensetrGrSrs rÚ__hash__z
PMap.__hash__s@€Ýt˜^Ñ,Ô,ð	BÝ $¥Y¨t¯~ª~Ñ/?Ô/?Ñ%@Ô%@Ñ AÔ AˆDÔØÔ Ð rcóv—| ¦« ||¦« ¦«S)a4
        Return a new PMap with key and val inserted.

        >>> m1 = m(a=1, b=2)
        >>> m2 = m1.set('a', 3)
        >>> m3 = m1.set('c' ,4)
        >>> m1 == {'a': 1, 'b': 2}
        True
        >>> m2 == {'a': 3, 'b': 2}
        True
        >>> m3 == {'a': 1, 'b': 2, 'c': 4}
        True
        )ÚevolverÚsetÚ
persistent©rr]Úvals   rr”zPMap.sets.€ð|Š|‰~Œ~×!Ò! # sÑ+Ô+×6Ò6Ñ8Ô8Ð8rcót—| ¦« |¦« ¦«S)zÐ
        Return a new PMap without the element specified by key. Raises KeyError if the element
        is not present.

        >>> m1 = m(a=1, b=2)
        >>> m1.remove('a')
        pmap({'b': 2})
        )r“Úremover•rfs  rr™zPMap.remove!s,€ð|Š|‰~Œ~×$Ò$ SÑ)Ô)×4Ò4Ñ6Ô6Ð6rcóR—	| |¦«S#t$r|cYSwxYw)a
        Return a new PMap without the element specified by key. Returns reference to itself
        if element is not present.

        >>> m1 = m(a=1, b=2)
        >>> m1.discard('a')
        pmap({'b': 2})
        >>> m1 is m1.discard('c')
        True
        )r™rbrfs  rÚdiscardzPMap.discard,s=€ð	Ø—;’;˜sÑ#Ô#Ð#øÝð	ð	ð	ØˆKˆKˆKð	øøøs‚—&¥&có —|jd„g|¢RŽS)a,
        Return a new PMap with the items in Mappings inserted. If the same key is present in multiple
        maps the rightmost (last) value is inserted.

        >>> m1 = m(a=1, b=2)
        >>> m1.update(m(a=2, c=3), {'a': 17, 'd': 35}) == {'a': 17, 'b': 2, 'c': 3, 'd': 35}
        True
        có—|Srr*)ÚlÚrs  rú<lambda>zPMap.update.<locals>.<lambda>Es€¨Q€r)Úupdate_with)rÚmapss  rÚupdatezPMap.update<s!€ð ˆtÔ  Ð6°Ð6Ð6Ð6Ð6rc	óè—| ¦«}|D]H}| ¦«D]1\}}| |||vr||||¦«n|¦«Œ2ŒI| ¦«S)a%
        Return a new PMap with the items in Mappings maps inserted. If the same key is present in multiple
        maps the values will be merged using merge_fn going from left to right.

        >>> from operator import add
        >>> m1 = m(a=1, b=2)
        >>> m1.update_with(add, m(a=2)) == {'a': 3, 'b': 2}
        True

        The reverse behaviour of the regular merge. Keep the leftmost element instead of the rightmost.

        >>> m1 = m(a=1)
        >>> m1.update_with(lambda l, r: l, m(a=2), {'a':3})
        pmap({'a': 1})
        )r“rr”r•)rÚ	update_fnr¢r“Úmapr]Úvalues       rr¡zPMap.update_withGsŽ€ð —,’,‘.”.ˆØð	^ð	^ˆCØ!Ÿiši™kœkð
^ð
^‘
UØ—’˜CÀ3È'À>À>  ¨7°3¬<¸Ñ!?Ô!?Ð!?ÐW\Ñ]Ô]Ð]Ð]ð
^ð×!Ò!Ñ#Ô#Ð#rcó,—| |¦«Sr)r£rŠs  rÚ__add__zPMap.__add__^s€Ø{Š{˜5Ñ!Ô!Ð!rcó0—tt|¦«ffSr)rr†rs rÚ
__reduce__zPMap.__reduce__cs€å•d˜4‘j”j]Ð"Ð"rcó"—t||¦«S)aÿ
        Transform arbitrarily complex combinations of PVectors and PMaps. A transformation
        consists of two parts. One match expression that specifies which elements to transform
        and one transformation function that performs the actual transformation.

        >>> from pyrsistent import freeze, ny
        >>> news_paper = freeze({'articles': [{'author': 'Sara', 'content': 'A short article'},
        ...                                   {'author': 'Steve', 'content': 'A slightly longer article'}],
        ...                      'weather': {'temperature': '11C', 'wind': '5m/s'}})
        >>> short_news = news_paper.transform(['articles', ny, 'content'], lambda c: c[:25] + '...' if len(c) > 25 else c)
        >>> very_short_news = news_paper.transform(['articles', ny, 'content'], lambda c: c[:15] + '...' if len(c) > 15 else c)
        >>> very_short_news.articles[0].content
        'A short article'
        >>> very_short_news.articles[1].content
        'A slightly long...'

        When nothing has been transformed the original data structure is kept

        >>> short_news is news_paper
        True
        >>> very_short_news is news_paper
        False
        >>> very_short_news.articles[0] is news_paper.articles[0]
        True
        r)rÚtransformationss  rrzPMap.transformgs€õ4˜˜Ñ/Ô/Ð/rcó—|Srr*rs rÚcopyz	PMap.copyƒs€ØˆrcóT—eZdZdZd„Zd„Zd„Zd„Zd„Zd„Z	d„Z
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<listcomp>z%PMap._Evolver.set.<locals>.<listcomp>œs4ø€Ð)bÐ)bÐ)bÑQWÐQSÐUW°b¸A²g°g¨2¨r¨(¨(ÀBÈÀ9Ð)bÐ)bÐ)brr|)rr`r²rrPÚ_reallocater”Úextend)
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ÑARÒ$RÐ!Øð
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à(ð.Ø×$Ò$Ñ&Ô&Ð&ØŸ8š8 C¨Ñ-Ô-Ð-à02¨tÔ% eÑ,Ø
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àˆKrcó¸—dt|j¦«z}|dgz}|j ¦«}tjd„|D¦«¦«D]E\}}t|¦«|z}||r|| ||f¦«Œ=||fg||<ŒFt¦« ¦«|_|j 	|¦«dS)Néc3óK—|]}|¯|V—Œ	dSrr*)r»rAs  rú	<genexpr>z,PMap._Evolver._reallocate.<locals>.<genexpr>¹s'èè€Ð+DÐ+D°!À!Ð+D¨AÐ+DÐ+DÐ+DÐ+DÐ+DÐ+Dr)
rr²r•rÚ
from_iterabler\Úappendrr“rÀ)rÚnew_sizeÚnew_listrYrr r^s       rr¿zPMap._Evolver._reallocateµsç€Ø3˜tÔ4Ñ5Ô5Ñ5ˆHØ 4 &Ñ(ˆHØÔ+×6Ò6Ñ8Ô8ˆGÝÔ+Ð+DÐ+D°wÐ+DÑ+DÔ+DÑDÔDð
/ð
/‘1Ý˜Q™œ (Ñ*Ø˜E”?ð/Ø˜U”O×*Ò*¨A¨q¨6Ñ2Ô2Ð2Ð2à()¨1 v hH˜U‘OOõ%,¡I¤I×$5Ò$5Ñ$7Ô$7ˆDÔ!ØÔ!×(Ò(¨Ñ2Ô2Ð2Ð2Ð2rcó4—|j ¦«Sr)r²Úis_dirtyrs rrÍzPMap._Evolver.is_dirtyÅs€ØÔ(×1Ò1Ñ3Ô3Ð3rcóš—| ¦«r1t|j|j ¦«¦«|_|jSr)rÍrrPr²r•r³rs rr•zPMap._Evolver.persistentÈs?€Ø}Š}‰Œð
[Ý&*¨4¬:°tÔ7L×7WÒ7WÑ7YÔ7YÑ&ZÔ&ZÔ#àÔ&Ð&rcó—|jSrrƒrs rrzPMap._Evolver.__len__Îs
€Ø”:ÐrcóB—t |j|¦«Sr)rrir²rfs  rr3zPMap._Evolver.__contains__Ñs€Ý—>’> $Ô"7¸Ñ=Ô=Ð=rcó0—| |¦«dSr)r™rfs  rÚ__delitem__zPMap._Evolver.__delitem__Ôs€ØKŠK˜ÑÔÐÐÐrcó.‡—t |j‰¦«\}}|rNˆfd„|D¦«}t|¦«t|¦«kr |r|nd|j|<|xjdzc_|Std ‰¦«¦«‚)Ncó*•—g|]\}}|‰k¯||f‘ŒSr*r*)r»rr r]s   €rr¾z(PMap._Evolver.remove.<locals>.<listcomp>Ûs&ø€ÐFÐFÐF©¨!¨Q¸QÀ#ºX¸X˜q !˜f¸X¸X¸Xrr|z{0})rr`r²rrPrbrq)rr]r^r_rÃs `   rr™zPMap._Evolver.remove×sœø€Ý ×,Ò,¨TÔ-BÀCÑHÔH‰MˆE6àð
 ØFÐFÐFÐF°6ÐFÑFÔF
Ýv‘;”;¥ Z¡¤Ò0Ð0ØAKÐ3U°:°:ÐQUDÔ)¨%Ñ0ØJ”J !‘OJ”JØKå˜5Ÿ<š<¨Ñ,Ô,Ñ-Ô-Ð-rN)r&r'r(Ú	__slots__rrgr¸r”r¿rÍr•rr3rÒr™r*rrÚ_Evolverr±†s¿€€€€€ØCˆ	ð	-ð	-ð	-ð
	=ð	=ð	=ð	ð	ð	ð	ð	ð	ðB	3ð	3ð	3ð 	4ð	4ð	4ð	'ð	'ð	'ð	ð	ð	ð	>ð	>ð	>ð	ð	ð	ð
	.ð
	.ð
	.ð
	.ð
	.rrÖcó,—| |¦«S)a-
        Create a new evolver for this pmap. For a discussion on evolvers in general see the
        documentation for the pvector evolver.

        Create the evolver and perform various mutating updates to it:

        >>> m1 = m(a=1, b=2)
        >>> e = m1.evolver()
        >>> e['c'] = 3
        >>> len(e)
        3
        >>> del e['a']

        The underlying pmap remains the same:

        >>> m1 == {'a': 1, 'b': 2}
        True

        The changes are kept in the evolver. An updated pmap can be created using the
        persistent() function on the evolver.

        >>> m2 = e.persistent()
        >>> m2 == {'b': 2, 'c': 3}
        True

        The new pmap will share data with the original pmap in the same way that would have
        been done if only using operations on the pmap.
        )rÖrs rr“zPMap.evolverãs€ð:}Š}˜TÑ"Ô"Ð"r)/r&r'r(r)rÕrVÚstaticmethodr`rdrgrir3rÚgetr0r$rsrlr/rGrzrrrr=rBÚ__ne__rÚ__le__Ú__gt__Ú__ge__r:r‘r”r™r›r£r¡r©Ú__or__r«rr¯rrÖr“Ú
__classcell__)rZs@rrrjsŽø€€€€€ð$ð$ðJE€Iððððððððñ„\ðð
ððñ„\ðð1ð1ð1ðð	ð	ñ„\ð	ð2ð2ð2ðŒ+€Cðððð>ð>ð>ððððððððððððð ð ð ðððððððððð3ð3ð3ð=ð=ð=ð$Œ^€Fð3ð3ð3ð€FØ
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9ð9ð9ð 	7ð	7ð	7ðððð 	7ð	7ð	7ð$ð$ð$ð."ð"ð"ð€Fð#ð#ð#ð0ð0ð0ð8ððð[.ð[.ð[.ð[.ð[.6ñ[.ô[.ð[.ðz#ð#ð#ð#ð#ð#ð#rrcóØ—|r|}n(	dt|¦«zpd}n#t$rd}YnwxYw|dgz}t|t¦«st	|¦«}| ¦«D]C\}}t
|¦«}||z}||}|r| ||f¦«Œ;||fg||<ŒDtt|¦«t¦« 
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rr†rr\rÉrrrÀ)	ÚinitialÚpre_sizerXrYrr Úhr^r_s	         rÚ_turbo_mappingrås€ØðØˆˆð	Ø•s˜7‘|”|Ñ#Ð( qˆDˆDøÝð	ð	ð	ðˆDˆDˆDð	øøøð
dV‰m€GågwÑ'Ô'ð õw‘-”-ˆà—
’
‘”ð&ð&‰ˆˆ1Ý‰GŒGˆØD‘ˆØ˜”ˆàð	&ØMŠM˜1˜a˜&Ñ!Ô!Ð!Ð!à  !˜f˜XˆGE‰NˆNå•G‘”g™iœi×.Ò.¨wÑ7Ô7Ñ8Ô8Ð8s‡œ+ª+có@—|s
|dkrtSt||¦«S)aë
    Create new persistent map, inserts all elements in initial into the newly created map.
    The optional argument pre_size may be used to specify an initial size of the underlying bucket vector. This
    may have a positive performance impact in the cases where you know beforehand that a large number of elements
    will be inserted into the map eventually since it will reduce the number of reallocations required.

    >>> pmap({'a': 13, 'b': 14}) == {'a': 13, 'b': 14}
    True
    r)Ú_EMPTY_PMAPrå)rârãs  rrr)s*€ððx 1’}}ÝÐå˜' 8Ñ,Ô,Ð,rcó —t|¦«S)z™
    Creates a new persistent map. Inserts all key value arguments into the newly created map.

    >>> m(a=13, b=14) == {'a': 13, 'b': 14}
    True
    )r)Úkwargss rrr9s€õ‰<Œ<ÐrN)Úcollections.abcrrÚ	itertoolsrÚpyrsistent._pvectorrÚpyrsistent._transformationsrr
r,rErrÚregisterrårçrrr*rrú<module>rïsƒðØ-Ð-Ð-Ð-Ð-Ð-Ð-Ð-ØÐÐÐÐÐØ'Ð'Ð'Ð'Ð'Ð'Ø1Ð1Ð1Ð1Ð1Ð1ð#>ð#>ð#>ð#>ð#>ñ#>ô#>ð#>ðJððððñôðð>)ð)ð)ð)ð)ñ)ô)ð)ð@V#ðV#ðV#ðV#ðV#ˆ6ñV#ôV#ðV#ðp€ÔÑÔÐØ€Ô$ÑÔÐð9ð9ð9ð@ˆn˜R Ñ#Ô#€ð˜að
-ð
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-ð ððððr
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