E#i"SSKrSSKrSSKJr SSKJr SrSrSrSr \ 4Sjr \ 4S jr \ 4S jr \ 4S jr\ 4S jr\ 4S jr\ 4SjrSr\ 4SjrS\ 4SjrSSjrg)N)reduce)Mapping) merge merge_withvalmapkeymapitemmap valfilter keyfilter itemfilterassocdissocassoc_in update_inget_incURS[5nU(a6[SRURUR 5S55eU$)Nfactoryz,{}() got an unexpected keyword argument '{}'r)popdict TypeErrorformat__name__popitem)fkwargsrs b/home/james-whalen/.local/lib/python3.13/site-packages/ccxt/static_dependencies/toolz/dicttoolz.py _get_factoryr sJjjD)G %vajj&..2B12EFH H Nc[U5S:Xa[US[5(dUSn[[U5nU"5nUHnUR U5 M U$)zMerge a collection of dictionaries >>> merge({1: 'one'}, {2: 'two'}) {1: 'one', 2: 'two'} Later dictionaries have precedence >>> merge({1: 2, 3: 4}, {3: 3, 4: 4}) {1: 2, 3: 3, 4: 4} See Also: merge_with r)len isinstancerrrupdate)dictsrrrvds rrrsU 5zQz%(G<<a5&)G B  !  Ircl[U5S:Xa[US[5(dUSn[[U5n[ R "S5nUH&nUR5HupgXF"U5 M M( U"5nUR5HupgU"UR5X'M U$)aMerge dictionaries and apply function to combined values A key may occur in more than one dict, and all values mapped from the key will be passed to the function as a list, such as func([val1, val2, ...]). >>> merge_with(sum, {1: 1, 2: 2}, {1: 10, 2: 20}) {1: 11, 2: 22} >>> merge_with(first, {1: 1, 2: 2}, {2: 20, 3: 30}) # doctest: +SKIP {1: 1, 2: 2, 3: 30} See Also: merge r rc/R$N)appendrrmerge_with..>sRYYr) r!r"rrr collections defaultdictitems__self__) funcr$rrvaluesr&kvresults rrr+s 5zQz%(G<<a:v.G  $ $%6 7F GGIDA IaLYF $  Mrc U"5nUR[UR5[XR 5555 U$)zApply function to values of dictionary >>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]} >>> valmap(sum, bills) # doctest: +SKIP {'Alice': 65, 'Bob': 45} See Also: keymap itemmap )r#zipkeysmapr3r2r&rr%s rrrIs4 BIIc!&&(Chhj123 Irc U"5nUR[[XR55UR 555 U$)zApply function to keys of dictionary >>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]} >>> keymap(str.lower, bills) # doctest: +SKIP {'alice': [20, 15, 30], 'bob': [10, 35]} See Also: valmap itemmap )r#r8r:r9r3r;s rrrYs4 BIIc#dFFH%qxxz23 IrcdU"5nUR[XR555 U$)zApply function to items of dictionary >>> accountids = {"Alice": 10, "Bob": 20} >>> itemmap(reversed, accountids) # doctest: +SKIP {10: "Alice", 20: "Bob"} See Also: keymap valmap )r#r:r0r;s rr r is' BIIc$ "# IrclU"5nUR5HupEU"U5(dMXSU'M U$)zFilter items in dictionary by value >>> iseven = lambda x: x % 2 == 0 >>> d = {1: 2, 2: 3, 3: 4, 4: 5} >>> valfilter(iseven, d) {1: 2, 3: 4} See Also: keyfilter itemfilter valmap r0 predicater&rr%r4r5s rr r y4 B  Q<<qE IrclU"5nUR5HupEU"U5(dMXSU'M U$)zFilter items in dictionary by key >>> iseven = lambda x: x % 2 == 0 >>> d = {1: 2, 2: 3, 3: 4, 4: 5} >>> keyfilter(iseven, d) {2: 3, 4: 5} See Also: valfilter itemfilter keymap r?r@s rr r rBrcpU"5nUR5HnU"U5(dMUupVXcU'M U$)zFilter items in dictionary by item >>> def isvalid(item): ... k, v = item ... return k % 2 == 0 and v < 4 >>> d = {1: 2, 2: 3, 3: 4, 4: 5} >>> itemfilter(isvalid, d) {2: 3} See Also: keyfilter valfilter itemmap r?)rAr&rr%itemr4r5s rr r s9 B  T??DAqE Irc>U"5nURU5 X$U'U$)zReturn a new dict with new key value pair New dict has d[key] set to value. Does not modify the initial dictionary. >>> assoc({'x': 1}, 'x', 2) {'x': 2} >>> assoc({'x': 1}, 'y', 3) # doctest: +SKIP {'x': 1, 'y': 3} )r#)r&keyvaluerd2s rr r s" BIIaLsG Irc [[U5nU"5n[U5[U5S-:a%URU5 UH nXT;dM XE M U$[ U5nUR U5 UH nXXG'M U$)aReturn a new dict with the given key(s) removed. New dict has d[key] deleted for each supplied key. Does not modify the initial dictionary. >>> dissoc({'x': 1, 'y': 2}, 'y') {'x': 1} >>> dissoc({'x': 1, 'y': 2}, 'y', 'x') {} >>> dissoc({'x': 1}, 'y') # Ignores missing keys {'x': 1} g333333?)rrr!r#setdifference_update)r&r9rrrIrG remainingr4s rrrs66*G B 4y3q6B; ! CyG I F ##D)ADBE Irc(^[XU4SjTU5$)aReturn a new dict with new, potentially nested, key value pair >>> purchase = {'name': 'Alice', ... 'order': {'items': ['Apple', 'Orange'], ... 'costs': [0.50, 1.25]}, ... 'credit card': '5555-1234-1234-1234'} >>> assoc_in(purchase, ['order', 'costs'], [0.25, 1.00]) # doctest: +SKIP {'credit card': '5555-1234-1234-1234', 'name': 'Alice', 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} c>T$r)r+)xrHs rr,assoc_in..sr)r)r&r9rHrs ` rrrs Qoug >>rc[U5n[U5nU"5=pxURU5 UH5n X`;aXnU"5n U RU5 OU"5=p U =X'nU nM7 X`;aU"X5X'U$U"U5X'U$)aUpdate value in a (potentially) nested dictionary inputs: d - dictionary on which to operate keys - list or tuple giving the location of the value to be changed in d func - function to operate on that value If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the original dictionary with v replaced by func(v), but does not mutate the original dictionary. If k0 is not a key in d, update_in creates nested dictionaries to the depth specified by the keys, with the innermost value set to func(default). >>> inc = lambda x: x + 1 >>> update_in({'a': 0}, ['a'], inc) {'a': 1} >>> transaction = {'name': 'Alice', ... 'purchase': {'items': ['Apple', 'Orange'], ... 'costs': [0.50, 1.25]}, ... 'credit card': '5555-1234-1234-1234'} >>> update_in(transaction, ['purchase', 'costs'], sum) # doctest: +SKIP {'credit card': '5555-1234-1234-1234', 'name': 'Alice', 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} >>> # updating a value when k0 is not in d >>> update_in({}, [1, 2, 3], str, default="bar") {1: {2: {3: 'bar'}}} >>> update_in({1: 'foo'}, [2, 3, 4], inc, 0) {1: 'foo', 2: {3: {4: 1}}} )iternextr#) r&r9r2defaultrksr4r%innerrGdtemps rrrsD dB RABIIaL 6AIE LLO !A  5  v: I= Irc[[RX5$![[[ 4a U(aeUs$f=f)aReturns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless ``no_default`` is specified, then it raises KeyError or IndexError. ``get_in`` is a generalization of ``operator.getitem`` for nested data structures such as dictionaries and lists. >>> transaction = {'name': 'Alice', ... 'purchase': {'items': ['Apple', 'Orange'], ... 'costs': [0.50, 1.25]}, ... 'credit card': '5555-1234-1234-1234'} >>> get_in(['purchase', 'items', 0], transaction) 'Apple' >>> get_in(['name'], transaction) 'Alice' >>> get_in(['purchase', 'total'], transaction) >>> get_in(['purchase', 'items', 'apple'], transaction) >>> get_in(['purchase', 'items', 10], transaction) >>> get_in(['purchase', 'total'], transaction, 0) 0 >>> get_in(['y'], {}, no_default=True) Traceback (most recent call last): ... KeyError: 'y' See Also: itertoolz.get operator.getitem )roperatorgetitemKeyError IndexErrorr)r9collrU no_defaults rrr/s;>h&&33 j) ,  s >>)NF)rZr. functoolsrcollections.abcr__all__rrrrrrr r r r r rrrrr+rrrcs# A 0<!  !  "  %)(%)(&*0"&  :&* ?&*47t$r