o tBhm}@stdZddlmZddlZddlZddlmZmZm Z m Z m Z dZ ddZ dHd d ZdHd d ZdHd dZdHddZdHddZdHddZdHddZdIddZdHddZddZdHddZdJdd Zd!d"ZdHd#d$ZdHd%d&Zd'd(ZdKd*d+ZdHd,d-Zd.d/Z dLd0d1Z!dLd2d3Z"dMd4d5Z#dLd6d7Z$dHd8d9Z%d:d;Z&dHdd?Z(d@dAZ)dHdBdCZ*dKdDdEZ+dHdFdGZ,dS)NzE Functions that operate on lists and dicts. .. versionadded:: 1.0.0 ) cmp_to_keyN)callitcmp getargcountiterator iteriteratee)atcount_byeveryfilter_find find_lastflat_map flat_map_deepflat_map_depthfor_eachfor_each_rightgroup_byincludes invoke_mapkey_bymap_nestorder_by partitionpluckreduce_ reduce_right reductionsreductions_rightrejectsample sample_sizeshufflesizesomesort_bycGstj||S)a Creates a list of elements from the specified indexes, or keys, of the collection. Indexes may be specified as individual arguments or as arrays of indexes. Args: collection (list|dict): Collection to iterate over. *paths (mixed): The indexes of `collection` to retrieve, specified as individual indexes or arrays of indexes. Returns: list: filtered list Example: >>> at([1, 2, 3, 4], 0, 2) [1, 3] >>> at({'a': 1, 'b': 2, 'c': 3, 'd': 4}, 'a', 'c') [1, 3] >>> at({'a': 1, 'b': 2, 'c': {'d': {'e': 3}}}, 'a', ['c', 'd', 'e']) [1, 3] .. versionadded:: 1.0.0 .. versionchanged:: 4.1.0 Support deep path access. )pyd properties) collectionpathsr,i/var/www/html/riverr-enterprise-integrations-main/venv/lib/python3.10/site-packages/pydash/collections.pyr 2sr cCs<i}t||D]}||dd||dd7<q|S)a Creates an object composed of keys generated from the results of running each element of `collection` through the iteratee. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: dict: Dict containing counts by key. Example: >>> results = count_by([1, 2, 1, 2, 3, 4]) >>> assert results == {1: 2, 2: 2, 3: 1, 4: 1} >>> results = count_by(['a', 'A', 'B', 'b'], lambda x: x.lower()) >>> assert results == {'a': 2, 'b': 2} >>> results = count_by({'a': 1, 'b': 1, 'c': 3, 'd': 3}) >>> assert results == {1: 2, 3: 2} .. versionadded:: 1.0.0 rr)r setdefault)r*iterateeretresultr,r,r-r Ps r c(|rt|fdd|D}t|S)a Checks if the predicate returns a truthy value for all elements of a collection. The predicate is invoked with three arguments: ``(value, index|key, collection)``. If a property name is passed for predicate, the created :func:`pluck` style predicate will return the property value of the given element. If an object is passed for predicate, the created :func:`.matches` style predicate will return ``True`` for elements that have the properties of the given object, else ``False``. Args: collection (list|dict): Collection to iterate over. predicate (mixed, optional): Predicate applied per iteration. Returns: bool: Whether all elements are truthy. Example: >>> every([1, True, 'hello']) True >>> every([1, False, 'hello']) False >>> every([{'a': 1}, {'a': True}, {'a': 'hello'}], 'a') True >>> every([{'a': 1}, {'a': False}, {'a': 'hello'}], 'a') False >>> every([{'a': 1}, {'a': 1}], {'a': 1}) True >>> every([{'a': 1}, {'a': 2}], {'a': 1}) False .. versionadded:: 1.0.0 .. versionchanged: 4.0.0 Removed alias ``all_``. c3|]}|VqdSNr,.0itemcbkr,r- zevery..)r(r/allr* predicater,r8r-r ps$ r cCddt||DS)ak Iterates over elements of a collection, returning a list of all elements the predicate returns truthy for. Args: collection (list|dict): Collection to iterate over. predicate (mixed, optional): Predicate applied per iteration. Returns: list: Filtered list. Example: >>> results = filter_([{'a': 1}, {'b': 2}, {'a': 1, 'b': 3}], {'a': 1}) >>> assert results == [{'a': 1}, {'a': 1, 'b': 3}] >>> filter_([1, 2, 3, 4], lambda x: x >= 3) [3, 4] .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Removed alias ``select``. cSsg|] \}}}}|r|qSr,r,r6is_truevalue_r,r,r- zfilter_..rr=r,r,r-r sr cCsddt||D}t|dS)aT Iterates over elements of a collection, returning the first element that the predicate returns truthy for. Args: collection (list|dict): Collection to iterate over. predicate (mixed, optional): Predicate applied per iteration. Returns: mixed: First element found or ``None``. Example: >>> find([1, 2, 3, 4], lambda x: x >= 3) 3 >>> find([{'a': 1}, {'b': 2}, {'a': 1, 'b': 2}], {'a': 1}) {'a': 1} .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Removed aliases ``detect`` and ``find_where``. cs |] \}}}}|r|VqdSr4r,r@r,r,r-r:szfind..Nrnextr*r>searchr,r,r-r s r cCs"ddt||ddD}t|dS)aQ This method is like :func:`find` except that it iterates over elements of a `collection` from right to left. Args: collection (list|dict): Collection to iterate over. predicate (mixed, optional): Predicate applied per iteration. Returns: mixed: Last element found or ``None``. Example: >>> find_last([1, 2, 3, 4], lambda x: x >= 3) 4 >>> results = find_last([{'a': 1}, {'b': 2}, {'a': 1, 'b': 2}], {'a': 1}) >>> assert results == {'a': 1, 'b': 2} .. versionadded:: 1.0.0 csrGr4r,r@r,r,r-r:s  zfind_last..TreverseNrHrJr,r,r-rs  rcCtt||dS)a7 Creates a flattened list of values by running each element in collection thru `iteratee` and flattening the mapped results. The `iteratee` is invoked with three arguments: ``(value, index|key, collection)``. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: list: Flattened mapped list. Example: >>> duplicate = lambda n: [[n, n]] >>> flat_map([1, 2], duplicate) [[1, 1], [2, 2]] .. versionadded:: 4.0.0 r/)r(flattenitermapr*r/r,r,r-rsrcCrN)a This method is like :func:`flat_map` except that it recursively flattens the mapped results. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: list: Flattened mapped list. Example: >>> duplicate = lambda n: [[n, n]] >>> flat_map_deep([1, 2], duplicate) [1, 1, 2, 2] .. versionadded:: 4.0.0 rO)r( flatten_deeprQrRr,r,r-rsrcCstjt||d|dS)a# This method is like :func:`flat_map` except that it recursively flattens the mapped results up to `depth` times. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: list: Flattened mapped list. Example: >>> duplicate = lambda n: [[n, n]] >>> flat_map_depth([1, 2], duplicate, 1) [[1, 1], [2, 2]] >>> flat_map_depth([1, 2], duplicate, 2) [1, 1, 2, 2] .. versionadded:: 4.0.0 rO)depth)r( flatten_depthrQ)r*r/rTr,r,r-rsrcCstddt||Dd|S)a6 Iterates over elements of a collection, executing the iteratee for each element. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: list|dict: `collection` Example: >>> results = {} >>> def cb(x): results[x] = x ** 2 >>> for_each([1, 2, 3, 4], cb) [1, 2, 3, 4] >>> assert results == {1: 1, 2: 4, 3: 9, 4: 16} .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Removed alias ``each``. cs$|] \}}}}|durdVqdSFNr,r6r0rCr,r,r-r:O"zfor_each..NrIrrRr,r,r-r7srcCs"tddt||ddDd|S)ax This method is like :func:`for_each` except that it iterates over elements of a `collection` from right to left. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: list|dict: `collection` Example: >>> results = {'total': 1} >>> def cb(x): results['total'] = x * results['total'] >>> for_each_right([1, 2, 3, 4], cb) [1, 2, 3, 4] >>> assert results == {'total': 24} .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Removed alias ``each_right``. csrVrWr,rXr,r,r-r:mrYz!for_each_right..TrLNrZrRr,r,r-rSs rcCs>i}t|}|D]}||}||g|||q |S)a Creates an object composed of keys generated from the results of running each element of a `collection` through the iteratee. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: dict: Results of grouping by `iteratee`. Example: >>> results = group_by([{'a': 1, 'b': 2}, {'a': 3, 'b': 4}], 'a') >>> assert results == {1: [{'a': 1, 'b': 2}], 3: [{'a': 3, 'b': 4}]} >>> results = group_by([{'a': 1, 'b': 2}, {'a': 3, 'b': 4}], {'a': 1}) >>> assert results == {False: [{'a': 3, 'b': 4}], True: [{'a': 1, 'b': 2}]} .. versionadded:: 1.0.0 )r(r/r.append)r*r/r0r9rBkeyr,r,r-rss  rcCs.t|tr |}||vS||d}||vS)a Checks if a given value is present in a collection. If `from_index` is negative, it is used as the offset from the end of the collection. Args: collection (list|dict): Collection to iterate over. target (mixed): Target value to compare to. from_index (int, optional): Offset to start search from. Returns: bool: Whether `target` is in `collection`. Example: >>> includes([1, 2, 3, 4], 2) True >>> includes([1, 2, 3, 4], 2, from_index=2) False >>> includes({'a': 1, 'b': 2, 'c': 3, 'd': 4}, 2) True .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Renamed from ``contains`` to ``includes`` and removed alias ``include``. N) isinstancedictvalues)r*target from_indexr,r,r-rs  rcst|fddS)a Invokes the method at `path` of each element in `collection`, returning a list of the results of each invoked method. Any additional arguments are provided to each invoked method. If `path` is a function, it's invoked for each element in `collection`. Args: collection (list|dict): Collection to iterate over. path (str|func): String path to method to invoke or callable to invoke for each element in `collection`. args (optional): Arguments to pass to method call. kwargs (optional): Keyword arguments to pass to method call. Returns: list: List of results of invoking method of each item. Example: >>> items = [{'a': [{'b': 1}]}, {'a': [{'c': 2}]}] >>> expected = [{'b': 1}.items(), {'c': 2}.items()] >>> invoke_map(items, 'a[0].items') == expected True .. versionadded:: 4.0.0 cstj|gRiSr4)r(invoke)r7argskwargspathr,r-szinvoke_map..)r)r*rfrdrer,rcr-rsrcCs(i}t|}|D]}||||<q |S)ai Creates an object composed of keys generated from the results of running each element of the collection through the given iteratee. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: dict: Results of indexing by `iteratee`. Example: >>> results = key_by([{'a': 1, 'b': 2}, {'a': 3, 'b': 4}], 'a') >>> assert results == {1: {'a': 1, 'b': 2}, 3: {'a': 3, 'b': 4}} .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Renamed from ``index_by`` to ``key_by``. )r(r/)r*r/r0r9rBr,r,r-rs  rcCstt||S)a Creates an array of values by running each element in the collection through the iteratee. The iteratee is invoked with three arguments: ``(value, index|key, collection)``. If a property name is passed for iteratee, the created :func:`pluck` style iteratee will return the property value of the given element. If an object is passed for iteratee, the created :func:`.matches` style iteratee will return ``True`` for elements that have the properties of the given object, else ``False``. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. Returns: list: Mapped list. Example: >>> map_([1, 2, 3, 4], str) ['1', '2', '3', '4'] >>> map_([{'a': 1, 'b': 2}, {'a': 3, 'b': 4}, {'a': 5, 'b': 6}], 'a') [1, 3, 5] >>> map_([[[0, 1]], [[2, 3]], [[4, 5]]], '0.1') [1, 3, 5] >>> map_([{'a': {'b': 1}}, {'a': {'b': 2}}], 'a.b') [1, 2] >>> map_([{'a': {'b': [0, 1]}}, {'a': {'b': [2, 3]}}], 'a.b[1]') [1, 3] .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Removed alias ``collect``. )listrQrRr,r,r-rs"rcsB|s|St|}|d|dd}tt||fddS)a This method is like :func:`group_by` except that it supports nested grouping by multiple string `properties`. If only a single key is given, it is like calling ``group_by(collection, prop)``. Args: collection (list|dict): Collection to iterate over. *properties (str): Properties to nest by. Returns: dict: Results of nested grouping by `properties`. Example: >>> results = nest([{'shape': 'square', 'color': 'red', 'qty': 5}, {'shape': 'square', 'color': 'blue', 'qty': 10}, {'shape': 'square', 'color': 'orange', 'qty': 5}, {'shape': 'circle', 'color': 'yellow', 'qty': 5}, {'shape': 'circle', 'color': 'pink', 'qty': 10}, {'shape': 'oval', 'color': 'purple', 'qty': 5}], 'shape', 'qty') >>> expected = { 'square': {5: [{'shape': 'square', 'color': 'red', 'qty': 5}, {'shape': 'square', 'color': 'orange', 'qty': 5}], 10: [{'shape': 'square', 'color': 'blue', 'qty': 10}]}, 'circle': {5: [{'shape': 'circle', 'color': 'yellow', 'qty': 5}], 10: [{'shape': 'circle', 'color': 'pink', 'qty': 10}]}, 'oval': {5: [{'shape': 'oval', 'color': 'purple', 'qty': 5}]}} >>> results == expected True .. versionadded:: 4.3.0 rrNcst|gRSr4)r)rBrestr,r-rgAsznest..)r(rP map_valuesr)r*r)firstr,rir-rs ! rFcst|tr |}t|r|}d}g|r;t|D]\}}t||r-||r*dnd}nd}t||fqn|D]}| drMd}|dd}nd}t||fq=fdd}t |t ||dS)a This method is like :func:`sort_by` except that it sorts by key names instead of an iteratee function. Keys can be sorted in descending order by prepending a ``"-"`` to the key name (e.g. ``"name"`` would become ``"-name"``) or by passing a list of boolean sort options via `orders` where ``True`` is ascending and ``False`` is descending. Args: collection (list|dict): Collection to iterate over. keys (list): List of keys to sort by. By default, keys will be sorted in ascending order. To sort a key in descending order, prepend a ``"-"`` to the key name. For example, to sort the key value for ``"name"`` in descending order, use ``"-name"``. orders (list, optional): List of boolean sort orders to apply for each key. ``True`` corresponds to ascending order while ``False`` is descending. Defaults to ``None``. reverse (bool, optional): Whether to reverse the sort. Defaults to ``False``. Returns: list: Sorted list. Example: >>> items = [{'a': 2, 'b': 1}, {'a': 3, 'b': 2}, {'a': 1, 'b': 3}] >>> results = order_by(items, ['b', 'a']) >>> assert results == [{'a': 2, 'b': 1}, {'a': 3, 'b': 2}, {'a': 1, 'b': 3}] >>> results = order_by(items, ['a', 'b']) >>> assert results == [{'a': 1, 'b': 3}, {'a': 2, 'b': 1}, {'a': 3, 'b': 2}] >>> results = order_by(items, ['-a', 'b']) >>> assert results == [{'a': 3, 'b': 2}, {'a': 2, 'b': 1}, {'a': 1, 'b': 3}] >>> results = order_by(items, ['a', 'b'], [False, True]) >>> assert results == [{'a': 3, 'b': 2}, {'a': 2, 'b': 1}, {'a': 1, 'b': 3}] .. versionadded:: 3.0.0 .. versionchanged:: 3.2.0 Added `orders` argument. .. versionchanged:: 3.2.0 Added :func:`sort_by_order` as alias. .. versionchanged:: 4.0.0 Renamed from ``order_by`` to ``order_by`` and removed alias ``sort_by_order``. Nr-cs4D]\}}t||||}|r||SqdS)Nr)r)leftrightfuncmultr1 comparersr,r- comparisons  zorder_by..comparisonr\rM) r]r^r_r( is_boolean enumeratehasr[ property_ startswithsortedr)r*keysordersrMir\orderrur,rsr-rDs* 3     rcCsBg}g}t||D]\}}}}|r||q ||q ||gS)a Creates an array of elements split into two groups, the first of which contains elements the `predicate` returns truthy for, while the second of which contains elements the `predicate` returns falsey for. The `predicate` is invoked with three arguments: ``(value, index|key, collection)``. If a property name is provided for `predicate` the created :func:`pluck` style predicate returns the property value of the given element. If an object is provided for `predicate` the created :func:`.matches` style predicate returns ``True`` for elements that have the properties of the given object, else ``False``. Args: collection (list|dict): Collection to iterate over. predicate (mixed, optional): Predicate applied per iteration. Returns: list: List of grouped elements. Example: >>> partition([1, 2, 3, 4], lambda x: x >= 3) [[3, 4], [1, 2]] .. versionadded:: 1.1.0 )rr[)r*r>truesfalsesrArBrCr,r,r-rs  rcCst|t|S)aB Retrieves the value of a specified property from all elements in the collection. Args: collection (list): List of dicts. path (str|list): Collection's path to pluck Returns: list: Plucked list. Example: >>> pluck([{'a': 1, 'b': 2}, {'a': 3, 'b': 4}, {'a': 5, 'b': 6}], 'a') [1, 3, 5] >>> pluck([[[0, 1]], [[2, 3]], [[4, 5]]], '0.1') [1, 3, 5] >>> pluck([{'a': {'b': 1}}, {'a': {'b': 2}}], 'a.b') [1, 2] >>> pluck([{'a': {'b': [0, 1]}}, {'a': {'b': [2, 3]}}], 'a.b.1') [1, 3] >>> pluck([{'a': {'b': [0, 1]}}, {'a': {'b': [2, 3]}}], ['a', 'b', 1]) [1, 3] .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Function removed. .. versionchanged:: 4.0.1 Made property access deep. )rr(rz)r*rfr,r,r-rs rc Cst|}|durzt|\}}Wn tytdw|}|dur(tj}d}nt|dd}|D] \}}t|||||d}q0|S)a  Reduces a collection to a value which is the accumulated result of running each element in the collection through the iteratee, where each successive iteratee execution consumes the return value of the previous execution. Args: collection (list|dict): Collection to iterate over. iteratee (mixed): Iteratee applied per iteration. accumulator (mixed, optional): Initial value of aggregator. Default is to use the result of the first iteration. Returns: mixed: Accumulator object containing results of reduction. Example: >>> reduce_([1, 2, 3, 4], lambda total, x: total * x) 24 .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Removed aliases ``foldl`` and ``inject``. Nz1reduce_() of empty sequence with no initial valuermaxargsargcount)rrI StopIteration TypeErrorr(identityrr) r*r/ accumulatoriterablerCr1rindexr7r,r,r-rs   rcCs(t|tst|ddd}t|||S)a This method is like :func:`reduce_` except that it iterates over elements of a `collection` from right to left. Args: collection (list|dict): Collection to iterate over. iteratee (mixed): Iteratee applied per iteration. accumulator (mixed, optional): Initial value of aggregator. Default is to use the result of the first iteration. Returns: mixed: Accumulator object containing results of reduction. Example: >>> reduce_right([1, 2, 3, 4], lambda total, x: total ** x) 4096 .. versionadded:: 1.0.0 .. versionchanged:: 3.2.1 Fix bug where collection was not reversed correctly. .. versionchanged:: 4.0.0 Removed alias ``foldr``. Nrm)r]r^rhrr*r/rr,r,r-rs  rcsPdur tjdntddgfdd}|rtnt}||||S)a This function is like :func:`reduce_` except that it returns a list of every intermediate value in the reduction operation. Args: collection (list|dict): Collection to iterate over. iteratee (mixed): Iteratee applied per iteration. accumulator (mixed, optional): Initial value of aggregator. Default is to use the result of the first iteration. Returns: list: Results of each reduction operation. Example: >>> reductions([1, 2, 3, 4], lambda total, x: total * x) [2, 6, 24] Note: The last element of the returned list would be the result of using :func:`reduce_`. .. versionadded:: 2.0.0 Nrrrcs t|||d}||S)Nr)rr[)r1r7rrr/resultsr,r- interceptorZs zreductions..interceptor)r(rrrr)r*r/r from_rightrreducerr,rr-r9s   rcCst|||ddS)a This method is like :func:`reductions` except that it iterates over elements of a `collection` from right to left. Args: collection (list|dict): Collection to iterate over. iteratee (mixed): Iteratee applied per iteration. accumulator (mixed, optional): Initial value of aggregator. Default is to use the result of the first iteration. Returns: list: Results of each reduction operation. Example: >>> reductions_right([1, 2, 3, 4], lambda total, x: total ** x) [64, 4096, 4096] Note: The last element of the returned list would be the result of using :func:`reduce_`. .. versionadded:: 2.0.0 T)r)rrr,r,r-r esr cCr?)ap The opposite of :func:`filter_` this method returns the elements of a collection that the predicate does **not** return truthy for. Args: collection (list|dict): Collection to iterate over. predicate (mixed, optional): Predicate applied per iteration. Returns: list: Rejected elements of `collection`. Example: >>> reject([1, 2, 3, 4], lambda x: x >= 3) [1, 2] >>> reject([{'a': 0}, {'a': 1}, {'a': 2}], 'a') [{'a': 0}] >>> reject([{'a': 0}, {'a': 1}, {'a': 2}], {'a': 1}) [{'a': 0}, {'a': 2}] .. versionadded:: 1.0.0 cSsg|] \}}}}|s|qSr,r,r@r,r,r-rDrEzreject..rFr=r,r,r-r!sr!cCs t|S)a Retrieves a random element from a given `collection`. Args: collection (list|dict): Collection to iterate over. Returns: mixed: Random element from the given collection. Example: >>> items = [1, 2, 3, 4, 5] >>> results = sample(items) >>> assert results in items .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Moved multiple samples functionality to :func:`sample_size`. This function now only returns a single random sample. )randomchoicer*r,r,r-r"s r"cCst|pdt|}t||S)a Retrieves list of `n` random elements from a collection. Args: collection (list|dict): Collection to iterate over. n (int, optional): Number of random samples to return. Returns: list: List of `n` sampled collection values. Examples: >>> items = [1, 2, 3, 4, 5] >>> results = sample_size(items, 2) >>> assert len(results) == 2 >>> assert set(items).intersection(results) == set(results) .. versionadded:: 4.0.0 r)minlenrr")r*nnumr,r,r-r#s r#cCs(t|tr |}t|}t||S)a Creates a list of shuffled values, using a version of the Fisher-Yates shuffle. Args: collection (list|dict): Collection to iterate over. Returns: list: Shuffled list of values. Example: >>> items = [1, 2, 3, 4] >>> results = shuffle(items) >>> assert len(results) == len(items) >>> assert set(results) == set(items) .. versionadded:: 1.0.0 )r]r^r_rhrr$rr,r,r-r$s  r$cCst|S)a* Gets the size of the `collection` by returning `len(collection)` for iterable objects. Args: collection (list|dict): Collection to iterate over. Returns: int: Collection length. Example: >>> size([1, 2, 3, 4]) 4 .. versionadded:: 1.0.0 )rrr,r,r-r%sr%cr2)a Checks if the predicate returns a truthy value for any element of a collection. The predicate is invoked with three arguments: ``(value, index|key, collection)``. If a property name is passed for predicate, the created :func:`map_` style predicate will return the property value of the given element. If an object is passed for predicate, the created :func:`.matches` style predicate will return ``True`` for elements that have the properties of the given object, else ``False``. Args: collection (list|dict): Collection to iterate over. predicate (mixed, optional): Predicate applied per iteration. Returns: bool: Whether any of the elements are truthy. Example: >>> some([False, True, 0]) True >>> some([False, 0, None]) False >>> some([1, 2, 3, 4], lambda x: x >= 3) True >>> some([1, 2, 3, 4], lambda x: x == 0) False .. versionadded:: 1.0.0 .. versionchanged:: 4.0.0 Removed alias ``any_``. c3r3r4r,r5r8r,r-r:!r;zsome..)r(r/anyr=r,r8r-r&s r&cCs&t|tr |}t|t||dS)a Creates a list of elements, sorted in ascending order by the results of running each element in a `collection` through the iteratee. Args: collection (list|dict): Collection to iterate over. iteratee (mixed, optional): Iteratee applied per iteration. reverse (bool, optional): Whether to reverse the sort. Defaults to ``False``. Returns: list: Sorted list. Example: >>> sort_by({'a': 2, 'b': 3, 'c': 1}) [1, 2, 3] >>> sort_by({'a': 2, 'b': 3, 'c': 1}, reverse=True) [3, 2, 1] >>> sort_by([{'a': 2}, {'a': 3}, {'a': 1}], 'a') [{'a': 1}, {'a': 2}, {'a': 3}] .. versionadded:: 1.0.0 rv)r]r^r_r|r(r/)r*r/rMr,r,r-r'&s r'ccs t||D]}|dVqdS)zGenerative mapper.rNrF)r*r/r1r,r,r-rQIs rQr4)Nr)r)NF)NN)NNF)-__doc__ functoolsrrpydashr(helpersrrrrr__all__r r r r r rrrrrrrrrrrrrrrrrrr r!r"r#r$r%r&r'rQr,r,r,r-sL #  +       !%  % * [' # / ! ,    '#