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n8n-openai-adapter/lib/elixir/lib/enum.ex
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Elixir

defprotocol Enumerable do
@moduledoc """
Enumerable protocol used by `Enum` and `Stream` modules.
When you invoke a function in the `Enum` module, the first argument
is usually a collection that must implement this protocol.
For example, the expression:
Enum.map([1, 2, 3], &(&1 * 2))
invokes `Enumerable.reduce/3` to perform the reducing
operation that builds a mapped list by calling the mapping function
`&(&1 * 2)` on every element in the collection and consuming the
element with an accumulated list.
Internally, `Enum.map/2` is implemented as follows:
def map(enum, fun) do
reducer = fn x, acc -> {:cont, [fun.(x) | acc]} end
Enumerable.reduce(enum, {:cont, []}, reducer) |> elem(1) |> :lists.reverse()
end
Notice the user-supplied function is wrapped into a `t:reducer/0` function.
The `t:reducer/0` function must return a tagged tuple after each step,
as described in the `t:acc/0` type.
The reason the accumulator requires a tagged tuple is to allow the
`t:reducer/0` function to communicate the end of enumeration to the underlying
enumerable, allowing any open resources to be properly closed.
It also allows suspension of the enumeration, which is useful when
interleaving between many enumerables is required (as in zip).
Finally, `Enumerable.reduce/3` will return another tagged tuple,
as represented by the `t:result/0` type.
"""
@typedoc """
The accumulator value for each step.
It must be a tagged tuple with one of the following "tags":
* `:cont` - the enumeration should continue
* `:halt` - the enumeration should halt immediately
* `:suspend` - the enumeration should be suspended immediately
Depending on the accumulator value, the result returned by
`Enumerable.reduce/3` will change. Please check the `t:result/0`
type documentation for more information.
In case a `t:reducer/0` function returns a `:suspend` accumulator,
it must be explicitly handled by the caller and never leak.
"""
@type acc :: {:cont, term} | {:halt, term} | {:suspend, term}
@typedoc """
The reducer function.
Should be called with the enumerable element and the
accumulator contents.
Returns the accumulator for the next enumeration step.
"""
@type reducer :: (term, term -> acc)
@typedoc """
The result of the reduce operation.
It may be *done* when the enumeration is finished by reaching
its end, or *halted*/*suspended* when the enumeration was halted
or suspended by the `t:reducer/0` function.
In case a `t:reducer/0` function returns the `:suspend` accumulator, the
`:suspended` tuple must be explicitly handled by the caller and
never leak. In practice, this means regular enumeration functions
just need to be concerned about `:done` and `:halted` results.
Furthermore, a `:suspend` call must always be followed by another call,
eventually halting or continuing until the end.
"""
@type result :: {:done, term} |
{:halted, term} |
{:suspended, term, continuation}
@typedoc """
A partially applied reduce function.
The continuation is the closure returned as a result when
the enumeration is suspended. When invoked, it expects
a new accumulator and it returns the result.
A continuation is easily implemented as long as the reduce
function is defined in a tail recursive fashion. If the function
is tail recursive, all the state is passed as arguments, so
the continuation would simply be the reducing function partially
applied.
"""
@type continuation :: (acc -> result)
@doc """
Reduces the enumerable into an element.
Most of the operations in `Enum` are implemented in terms of reduce.
This function should apply the given `t:reducer/0` function to each
item in the enumerable and proceed as expected by the returned
accumulator.
As an example, here is the implementation of `reduce` for lists:
def reduce(_, {:halt, acc}, _fun), do: {:halted, acc}
def reduce(list, {:suspend, acc}, fun), do: {:suspended, acc, &reduce(list, &1, fun)}
def reduce([], {:cont, acc}, _fun), do: {:done, acc}
def reduce([h | t], {:cont, acc}, fun), do: reduce(t, fun.(h, acc), fun)
"""
@spec reduce(t, acc, reducer) :: result
def reduce(enumerable, acc, fun)
@doc """
Checks if an element exists within the enumerable.
It should return `{:ok, boolean}`.
If `{:error, __MODULE__}` is returned a default algorithm using
`reduce` and the match (`===`) operator is used. This algorithm runs
in linear time.
_Please force use of the default algorithm unless you can implement an
algorithm that is significantly faster._
"""
@spec member?(t, term) :: {:ok, boolean} | {:error, module}
def member?(enumerable, element)
@doc """
Retrieves the enumerable's size.
It should return `{:ok, size}`.
If `{:error, __MODULE__}` is returned a default algorithm using
`reduce` and the match (`===`) operator is used. This algorithm runs
in linear time.
_Please force use of the default algorithm unless you can implement an
algorithm that is significantly faster._
"""
@spec count(t) :: {:ok, non_neg_integer} | {:error, module}
def count(enumerable)
end
defmodule Enum do
import Kernel, except: [max: 2, min: 2]
@moduledoc """
Provides a set of algorithms that enumerate over enumerables according
to the `Enumerable` protocol.
iex> Enum.map([1, 2, 3], fn(x) -> x * 2 end)
[2, 4, 6]
Some particular types, like maps, yield a specific format on enumeration.
For example, the argument is always a `{key, value}` tuple for maps:
iex> map = %{a: 1, b: 2}
iex> Enum.map(map, fn {k, v} -> {k, v * 2} end)
[a: 2, b: 4]
Note that the functions in the `Enum` module are eager: they always
start the enumeration of the given enumerable. The `Stream` module
allows lazy enumeration of enumerables and provides infinite streams.
Since the majority of the functions in `Enum` enumerate the whole
enumerable and return a list as result, infinite streams need to
be carefully used with such functions, as they can potentially run
forever. For example:
Enum.each Stream.cycle([1, 2, 3]), &IO.puts(&1)
"""
@compile :inline_list_funcs
@type t :: Enumerable.t
@type element :: any
@type index :: integer
@type default :: any
# Require Stream.Reducers and its callbacks
require Stream.Reducers, as: R
defmacrop skip(acc) do
acc
end
defmacrop next(_, entry, acc) do
quote do: [unquote(entry) | unquote(acc)]
end
defmacrop acc(head, state, _) do
quote do: {unquote(head), unquote(state)}
end
defmacrop next_with_acc(_, entry, head, state, _) do
quote do
{[unquote(entry) | unquote(head)], unquote(state)}
end
end
@doc """
Returns true if the given `fun` evaluates to true on all of the items in the enumerable.
It stops the iteration at the first invocation that returns `false` or `nil`.
## Examples
iex> Enum.all?([2, 4, 6], fn(x) -> rem(x, 2) == 0 end)
true
iex> Enum.all?([2, 3, 4], fn(x) -> rem(x, 2) == 0 end)
false
If no function is given, it defaults to checking if
all items in the enumerable are truthy values.
iex> Enum.all?([1, 2, 3])
true
iex> Enum.all?([1, nil, 3])
false
"""
@spec all?(t) :: boolean
@spec all?(t, (element -> as_boolean(term))) :: boolean
def all?(enumerable, fun \\ fn(x) -> x end)
def all?(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
do_all?(enumerable, fun)
end
def all?(enumerable, fun) when is_function(fun, 1) do
Enumerable.reduce(enumerable, {:cont, true}, fn(entry, _) ->
if fun.(entry), do: {:cont, true}, else: {:halt, false}
end) |> elem(1)
end
@doc """
Returns true if the given `fun` evaluates to true on any of the items in the enumerable.
It stops the iteration at the first invocation that returns a truthy value (not `false` or `nil`).
## Examples
iex> Enum.any?([2, 4, 6], fn(x) -> rem(x, 2) == 1 end)
false
iex> Enum.any?([2, 3, 4], fn(x) -> rem(x, 2) == 1 end)
true
If no function is given, it defaults to checking if at least one item
in the enumerable is a truthy value.
iex> Enum.any?([false, false, false])
false
iex> Enum.any?([false, true, false])
true
"""
@spec any?(t) :: boolean
@spec any?(t, (element -> as_boolean(term))) :: boolean
def any?(enumerable, fun \\ fn(x) -> x end)
def any?(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
do_any?(enumerable, fun)
end
def any?(enumerable, fun) when is_function(fun, 1) do
Enumerable.reduce(enumerable, {:cont, false}, fn(entry, _) ->
if fun.(entry), do: {:halt, true}, else: {:cont, false}
end) |> elem(1)
end
@doc """
Finds the element at the given `index` (zero-based).
Returns `default` if `index` is out of bounds.
A negative `index` can be passed, which means the `enumerable` is
enumerated once and the `index` is counted from the end (e.g.
`-1` finds the last element).
Note this operation takes linear time. In order to access
the element at index `index`, it will need to traverse `index`
previous elements.
## Examples
iex> Enum.at([2, 4, 6], 0)
2
iex> Enum.at([2, 4, 6], 2)
6
iex> Enum.at([2, 4, 6], 4)
nil
iex> Enum.at([2, 4, 6], 4, :none)
:none
"""
@spec at(t, index, default) :: element | default
def at(enumerable, index, default \\ nil) do
case fetch(enumerable, index) do
{:ok, h} -> h
:error -> default
end
end
@doc """
Shortcut to `chunk(enumerable, count, count)`.
"""
@spec chunk(t, pos_integer) :: [list]
def chunk(enumerable, count), do: chunk(enumerable, count, count, nil)
@doc """
Returns list of lists containing `count` items each, where
each new chunk starts `step` elements into the enumerable.
`step` is optional and, if not passed, defaults to `count`, i.e.
chunks do not overlap.
If the final chunk does not have `count` elements to fill the chunk,
elements are taken as necessary from `leftover` if it was passed.
If `leftover` is passed and does not have enough elements to fill the
chunk, then a partial chunk is returned with less than `count`
elements. If `leftover` is not passed at all or is `nil`, then the
partial chunk is discarded from the result.
If `count` is greater than the number of elements in the enumerable
and `leftover` is not passed, empty list will be returned.
## Examples
iex> Enum.chunk([1, 2, 3, 4, 5, 6], 2)
[[1, 2], [3, 4], [5, 6]]
iex> Enum.chunk([1, 2, 3, 4, 5, 6], 3, 2)
[[1, 2, 3], [3, 4, 5]]
iex> Enum.chunk([1, 2, 3, 4, 5, 6], 3, 2, [7])
[[1, 2, 3], [3, 4, 5], [5, 6, 7]]
iex> Enum.chunk([1, 2, 3, 4], 3, 3, [])
[[1, 2, 3], [4]]
iex> Enum.chunk([1, 2, 3, 4], 10)
[]
iex> Enum.chunk([1, 2, 3, 4], 10, 10, [])
[[1, 2, 3, 4]]
"""
@spec chunk(t, pos_integer, pos_integer, t | nil) :: [list]
def chunk(enumerable, count, step, leftover \\ nil)
when is_integer(count) and count > 0 and is_integer(step) and step > 0 do
limit = :erlang.max(count, step)
{acc, {buffer, i}} =
reduce(enumerable, {[], {[], 0}}, R.chunk(count, step, limit))
if is_nil(leftover) || i == 0 do
:lists.reverse(acc)
else
buffer = :lists.reverse(buffer, take(leftover, count - i))
:lists.reverse([buffer | acc])
end
end
@doc """
Splits enumerable on every element for which `fun` returns a new
value.
Returns a list of lists.
## Examples
iex> Enum.chunk_by([1, 2, 2, 3, 4, 4, 6, 7, 7], &(rem(&1, 2) == 1))
[[1], [2, 2], [3], [4, 4, 6], [7, 7]]
"""
@spec chunk_by(t, (element -> any)) :: [list]
def chunk_by(enumerable, fun) when is_function(fun, 1) do
{acc, res} = reduce(enumerable, {[], nil}, R.chunk_by(fun))
case res do
{buffer, _} ->
:lists.reverse([:lists.reverse(buffer) | acc])
nil ->
[]
end
end
@doc """
Given an enumerable of enumerables, concatenates the enumerables into
a single list.
## Examples
iex> Enum.concat([1..3, 4..6, 7..9])
[1, 2, 3, 4, 5, 6, 7, 8, 9]
iex> Enum.concat([[1, [2], 3], [4], [5, 6]])
[1, [2], 3, 4, 5, 6]
"""
@spec concat(t) :: t
def concat(enumerables) do
do_concat(enumerables)
end
@doc """
Concatenates the enumerable on the right with the enumerable on the
left.
This function produces the same result as the `Kernel.++/2` operator
for lists.
## Examples
iex> Enum.concat(1..3, 4..6)
[1, 2, 3, 4, 5, 6]
iex> Enum.concat([1, 2, 3], [4, 5, 6])
[1, 2, 3, 4, 5, 6]
"""
@spec concat(t, t) :: t
def concat(left, right) when is_list(left) and is_list(right) do
left ++ right
end
def concat(left, right) do
do_concat([left, right])
end
defp do_concat(enumerable) do
fun = &[&1 | &2]
reduce(enumerable, [], &reduce(&1, &2, fun)) |> :lists.reverse
end
@doc """
Returns the size of the enumerable.
## Examples
iex> Enum.count([1, 2, 3])
3
"""
@spec count(t) :: non_neg_integer
def count(enumerable) when is_list(enumerable) do
:erlang.length(enumerable)
end
def count(enumerable) do
case Enumerable.count(enumerable) do
{:ok, value} when is_integer(value) ->
value
{:error, module} ->
module.reduce(enumerable, {:cont, 0}, fn
_, acc -> {:cont, acc + 1}
end) |> elem(1)
end
end
@doc """
Returns the count of items in the enumerable for which `fun` returns
a truthy value.
## Examples
iex> Enum.count([1, 2, 3, 4, 5], fn(x) -> rem(x, 2) == 0 end)
2
"""
@spec count(t, (element -> as_boolean(term))) :: non_neg_integer
def count(enumerable, fun) when is_function(fun, 1) do
reduce(enumerable, 0, fn(entry, acc) ->
if(fun.(entry), do: acc + 1, else: acc)
end)
end
@doc """
Enumerates the `enumerable`, returning a list where all consecutive
duplicated elements are collapsed to a single element.
Elements are compared using `===`.
If you want to remove all duplicated elements, regardless of order,
see `uniq/1`.
## Examples
iex> Enum.dedup([1, 2, 3, 3, 2, 1])
[1, 2, 3, 2, 1]
iex> Enum.dedup([1, 1, 2, 2.0, :three, :"three"])
[1, 2, 2.0, :three]
"""
@spec dedup(t) :: list
def dedup(enumerable) do
dedup_by(enumerable, fn x -> x end)
end
@doc """
Enumerates the `enumerable`, returning a list where all consecutive
duplicated elements are collapsed to a single element.
The function `fun` maps every element to a term which is used to
determine if two elements are duplicates.
## Examples
iex> Enum.dedup_by([{1, :a}, {2, :b}, {2, :c}, {1, :a}], fn {x, _} -> x end)
[{1, :a}, {2, :b}, {1, :a}]
iex> Enum.dedup_by([5, 1, 2, 3, 2, 1], fn x -> x > 2 end)
[5, 1, 3, 2]
"""
@spec dedup_by(t, (element -> term)) :: list
def dedup_by(enumerable, fun) when is_function(fun, 1) do
{list, _} = reduce(enumerable, {[], []}, R.dedup(fun))
:lists.reverse(list)
end
@doc """
Drops the `amount` of items from the enumerable.
If a negative `amount` is given, the `amount` of last values will be dropped.
The `enumerable` is enumerated once to retrieve the proper index and
the remaining calculation is performed from the end.
## Examples
iex> Enum.drop([1, 2, 3], 2)
[3]
iex> Enum.drop([1, 2, 3], 10)
[]
iex> Enum.drop([1, 2, 3], 0)
[1, 2, 3]
iex> Enum.drop([1, 2, 3], -1)
[1, 2]
"""
@spec drop(t, integer) :: list
def drop(enumerable, amount)
when is_list(enumerable) and is_integer(amount) and amount >= 0 do
drop_list(enumerable, amount)
end
def drop(enumerable, amount) when is_integer(amount) and amount >= 0 do
{result, _} = reduce(enumerable, {[], amount}, R.drop())
if is_list(result), do: :lists.reverse(result), else: []
end
def drop(enumerable, amount) when is_integer(amount) and amount < 0 do
drop_list(reverse(enumerable), -amount) |> :lists.reverse
end
@doc """
Returns a list of every `nth` item in the enumerable dropped,
starting with the first element.
The first item is always dropped, unless `nth` is 0.
The second argument specifying every `nth` item must be a non-negative
integer.
## Examples
iex> Enum.drop_every(1..10, 2)
[2, 4, 6, 8, 10]
iex> Enum.drop_every(1..10, 0)
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
iex> Enum.drop_every([1, 2, 3], 1)
[]
"""
@spec drop_every(t, non_neg_integer) :: list
def drop_every(enumerable, nth)
def drop_every(_enumerable, 1), do: []
def drop_every(enumerable, 0), do: to_list(enumerable)
def drop_every([], nth) when is_integer(nth), do: []
def drop_every(enumerable, nth) when is_integer(nth) and nth > 1 do
{res, _} = reduce(enumerable, {[], :first}, R.drop_every(nth))
:lists.reverse(res)
end
@doc """
Drops items at the beginning of the enumerable while `fun` returns a
truthy value.
## Examples
iex> Enum.drop_while([1, 2, 3, 2, 1], fn(x) -> x < 3 end)
[3, 2, 1]
"""
@spec drop_while(t, (element -> as_boolean(term))) :: list
def drop_while(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
do_drop_while(enumerable, fun)
end
def drop_while(enumerable, fun) do
{res, _} = reduce(enumerable, {[], true}, R.drop_while(fun))
:lists.reverse(res)
end
@doc """
Invokes the given `fun` for each item in the enumerable.
Returns `:ok`.
## Examples
Enum.each(["some", "example"], fn(x) -> IO.puts x end)
"some"
"example"
#=> :ok
"""
@spec each(t, (element -> any)) :: :ok
def each(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
:lists.foreach(fun, enumerable)
:ok
end
def each(enumerable, fun) when is_function(fun, 1) do
reduce(enumerable, nil, fn(entry, _) ->
fun.(entry)
nil
end)
:ok
end
@doc """
Determines if the enumerable is empty.
Returns `true` if `enumerable` is empty, otherwise `false`.
## Examples
iex> Enum.empty?([])
true
iex> Enum.empty?([1, 2, 3])
false
"""
@spec empty?(t) :: boolean
def empty?(enumerable) when is_list(enumerable) do
enumerable == []
end
def empty?(enumerable) do
case Enumerable.count(enumerable) do
{:ok, value} when is_integer(value) ->
value == 0
{:error, module} ->
module.reduce(enumerable, {:cont, true},
fn(_, _) -> {:halt, false} end)
|> elem(1)
end
end
@doc """
Finds the element at the given `index` (zero-based).
Returns `{:ok, element}` if found, otherwise `:error`.
A negative `index` can be passed, which means the `enumerable` is
enumerated once and the `index` is counted from the end (e.g.
`-1` fetches the last element).
Note this operation takes linear time. In order to access
the element at index `index`, it will need to traverse `index`
previous elements.
## Examples
iex> Enum.fetch([2, 4, 6], 0)
{:ok, 2}
iex> Enum.fetch([2, 4, 6], -3)
{:ok, 2}
iex> Enum.fetch([2, 4, 6], 2)
{:ok, 6}
iex> Enum.fetch([2, 4, 6], 4)
:error
"""
@spec fetch(t, index) :: {:ok, element} | :error
def fetch(enumerable, index)
def fetch(enumerable, index) when is_list(enumerable) and is_integer(index) do
if index < 0 do
enumerable |> :lists.reverse |> fetch_list((-index) - 1)
else
fetch_list(enumerable, index)
end
end
def fetch(first..last, index) when is_integer(index) do
fetch_range(first, last, index)
end
def fetch(enumerable, index) when is_integer(index) and index < 0 do
case Enumerable.count(enumerable) do
{:error, _module} ->
enumerable |> reverse |> fetch_list((-index) - 1)
{:ok, count} when (count + index) < 0 ->
:error
{:ok, count} ->
fetch_enumerable(enumerable, count + index, Enumerable)
end
end
def fetch(enumerable, index) when is_integer(index) do
case Enumerable.count(enumerable) do
{:error, module} ->
fetch_enumerable(enumerable, index, module)
{:ok, count} when count <= index ->
:error
{:ok, _count} ->
fetch_enumerable(enumerable, index, Enumerable)
end
end
defp fetch_enumerable(enumerable, index, module) do
reduce_result =
module.reduce(enumerable, {:cont, {:not_found, 0}}, fn
entry, {_, ^index} ->
{:halt, {:found, entry}}
_entry, {_, index} ->
{:cont, {:not_found, index + 1}}
end)
case elem(reduce_result, 1) do
{:found, entry} -> {:ok, entry}
{:not_found, _} -> :error
end
end
@doc """
Finds the element at the given `index` (zero-based).
Raises `OutOfBoundsError` if the given `index` is outside the range of
the enumerable.
Note this operation takes linear time. In order to access the element
at index `index`, it will need to traverse `index` previous elements.
## Examples
iex> Enum.fetch!([2, 4, 6], 0)
2
iex> Enum.fetch!([2, 4, 6], 2)
6
iex> Enum.fetch!([2, 4, 6], 4)
** (Enum.OutOfBoundsError) out of bounds error
"""
@spec fetch!(t, index) :: element | no_return
def fetch!(enumerable, index) do
case fetch(enumerable, index) do
{:ok, h} -> h
:error -> raise Enum.OutOfBoundsError
end
end
@doc """
Filters the enumerable, i.e. returns only those elements
for which `fun` returns a truthy value.
See also `reject/2`.
## Examples
iex> Enum.filter([1, 2, 3], fn(x) -> rem(x, 2) == 0 end)
[2]
"""
@spec filter(t, (element -> as_boolean(term))) :: list
def filter(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
for item <- enumerable, fun.(item), do: item
end
def filter(enumerable, fun) when is_function(fun, 1) do
reduce(enumerable, [], R.filter(fun)) |> :lists.reverse
end
@doc """
Filters the enumerable and maps its elements in one pass.
## Examples
iex> Enum.filter_map([1, 2, 3], fn(x) -> rem(x, 2) == 0 end, &(&1 * 2))
[4]
"""
@spec filter_map(t, (element -> as_boolean(term)),
(element -> element)) :: list
def filter_map(enumerable, filter, mapper)
when is_list(enumerable) and is_function(filter, 1) and is_function(mapper, 1) do
for item <- enumerable, filter.(item), do: mapper.(item)
end
def filter_map(enumerable, filter, mapper)
when is_function(filter, 1) and is_function(mapper, 1) do
reduce(enumerable, [], R.filter_map(filter, mapper))
|> :lists.reverse
end
@doc """
Returns the first item for which `fun` returns a truthy value.
If no such item is found, returns `default`.
## Examples
iex> Enum.find([2, 4, 6], fn(x) -> rem(x, 2) == 1 end)
nil
iex> Enum.find([2, 4, 6], 0, fn(x) -> rem(x, 2) == 1 end)
0
iex> Enum.find([2, 3, 4], fn(x) -> rem(x, 2) == 1 end)
3
"""
@spec find(t, default, (element -> any)) :: element | default
def find(enumerable, default \\ nil, fun)
def find(enumerable, default, fun) when is_list(enumerable) and is_function(fun, 1) do
do_find(enumerable, default, fun)
end
def find(enumerable, default, fun) when is_function(fun, 1) do
Enumerable.reduce(enumerable, {:cont, default}, fn(entry, default) ->
if fun.(entry), do: {:halt, entry}, else: {:cont, default}
end) |> elem(1)
end
@doc """
Similar to `find/3`, but returns the index (zero-based)
of the element instead of the element itself.
## Examples
iex> Enum.find_index([2, 4, 6], fn(x) -> rem(x, 2) == 1 end)
nil
iex> Enum.find_index([2, 3, 4], fn(x) -> rem(x, 2) == 1 end)
1
"""
@spec find_index(t, (element -> any)) :: non_neg_integer | nil
def find_index(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
do_find_index(enumerable, 0, fun)
end
def find_index(enumerable, fun) when is_function(fun, 1) do
result =
Enumerable.reduce(enumerable, {:cont, {:not_found, 0}}, fn(entry, {_, index}) ->
if fun.(entry), do: {:halt, {:found, index}}, else: {:cont, {:not_found, index + 1}}
end)
case elem(result, 1) do
{:found, index} -> index
{:not_found, _} -> nil
end
end
@doc """
Similar to `find/3`, but returns the value of the function
invocation instead of the element itself.
## Examples
iex> Enum.find_value([2, 4, 6], fn(x) -> rem(x, 2) == 1 end)
nil
iex> Enum.find_value([2, 3, 4], fn(x) -> rem(x, 2) == 1 end)
true
iex> Enum.find_value([1, 2, 3], "no bools!", &is_boolean/1)
"no bools!"
"""
@spec find_value(t, any, (element -> any)) :: any | nil
def find_value(enumerable, default \\ nil, fun)
def find_value(enumerable, default, fun) when is_list(enumerable) and is_function(fun, 1) do
do_find_value(enumerable, default, fun)
end
def find_value(enumerable, default, fun) when is_function(fun, 1) do
Enumerable.reduce(enumerable, {:cont, default}, fn(entry, default) ->
fun_entry = fun.(entry)
if fun_entry, do: {:halt, fun_entry}, else: {:cont, default}
end) |> elem(1)
end
@doc """
Maps the given `fun` over `enumerable` and flattens the result.
This function returns a new enumerable built by appending the result of invoking `fun`
on each element of `enumerable` together; conceptually, this is similar to a
combination of `map/2` and `concat/1`.
## Examples
iex> Enum.flat_map([:a, :b, :c], fn(x) -> [x, x] end)
[:a, :a, :b, :b, :c, :c]
iex> Enum.flat_map([{1, 3}, {4, 6}], fn({x, y}) -> x..y end)
[1, 2, 3, 4, 5, 6]
iex> Enum.flat_map([:a, :b, :c], fn(x) -> [[x]] end)
[[:a], [:b], [:c]]
"""
@spec flat_map(t, (element -> t)) :: list
def flat_map(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
flat_map_list(enumerable, fun)
end
def flat_map(enumerable, fun) when is_function(fun, 1) do
reduce(enumerable, [], fn(entry, acc) ->
case fun.(entry) do
list when is_list(list) -> :lists.reverse(list, acc)
other -> reduce(other, acc, &[&1 | &2])
end
end) |> :lists.reverse
end
defp flat_map_list([head | tail], fun) do
case fun.(head) do
list when is_list(list) -> list ++ flat_map_list(tail, fun)
other -> to_list(other) ++ flat_map_list(tail, fun)
end
end
defp flat_map_list([], _fun) do
[]
end
@doc """
Maps and reduces an enumerable, flattening the given results (only one level deep).
It expects an accumulator and a function that receives each enumerable
item, and must return a tuple containing a new enumerable (often a list)
with the new accumulator or a tuple with `:halt` as first element and
the accumulator as second.
## Examples
iex> enum = 1..100
iex> n = 3
iex> Enum.flat_map_reduce(enum, 0, fn i, acc ->
...> if acc < n, do: {[i], acc + 1}, else: {:halt, acc}
...> end)
{[1, 2, 3], 3}
iex> Enum.flat_map_reduce(1..5, 0, fn(i, acc) -> {[[i]], acc + i} end)
{[[1], [2], [3], [4], [5]], 15}
"""
@spec flat_map_reduce(t, acc, fun) :: {[any], any}
when fun: (element, acc -> {t, acc} | {:halt, acc}),
acc: any
def flat_map_reduce(enumerable, acc, fun) when is_function(fun, 2) do
{_, {list, acc}} =
Enumerable.reduce(enumerable, {:cont, {[], acc}},
fn(entry, {list, acc}) ->
case fun.(entry, acc) do
{:halt, acc} ->
{:halt, {list, acc}}
{[], acc} ->
{:cont, {list, acc}}
{[entry], acc} ->
{:cont, {[entry | list], acc}}
{entries, acc} ->
{:cont, {reduce(entries, list, &[&1 | &2]), acc}}
end
end)
{:lists.reverse(list), acc}
end
@doc """
Splits the enumerable into groups based on `key_fun`.
The result is a map where each key is given by `key_fun` and each
value is a list of elements given by `value_fun`. Ordering is preserved.
## Examples
iex> Enum.group_by(~w{ant buffalo cat dingo}, &String.length/1)
%{3 => ["ant", "cat"], 7 => ["buffalo"], 5 => ["dingo"]}
iex> Enum.group_by(~w{ant buffalo cat dingo}, &String.length/1, &String.first/1)
%{3 => ["a", "c"], 7 => ["b"], 5 => ["d"]}
"""
@spec group_by(t, (element -> any), (element -> any)) :: map
def group_by(enumerable, key_fun, value_fun \\ fn x -> x end)
def group_by(enumerable, key_fun, value_fun)
when is_function(key_fun, 1) and is_function(value_fun, 1) do
reduce(reverse(enumerable), %{}, fn entry, categories ->
value = value_fun.(entry)
Map.update(categories, key_fun.(entry), [value], &[value | &1])
end)
end
# TODO: Remove on 2.0
def group_by(enumerable, dict, fun) when is_function(fun, 1) do
IO.warn "Enum.group_by/3 with a map/dictionary as second element is deprecated. " <>
"A map is used by default and it is no longer required to pass one to this function"
reduce(reverse(enumerable), dict, fn(entry, categories) ->
Dict.update(categories, fun.(entry), [entry], &[entry | &1])
end)
end
@doc """
Intersperses `element` between each element of the enumeration.
Complexity: O(n).
## Examples
iex> Enum.intersperse([1, 2, 3], 0)
[1, 0, 2, 0, 3]
iex> Enum.intersperse([1], 0)
[1]
iex> Enum.intersperse([], 0)
[]
"""
@spec intersperse(t, element) :: list
def intersperse(enumerable, element) do
list =
reduce(enumerable, [], fn(x, acc) ->
[x, element | acc]
end) |> :lists.reverse()
case list do
[] -> []
[_ | t] -> t # Head is a superfluous intersperser element
end
end
@doc """
Inserts the given `enumerable` into a `collectable`.
## Examples
iex> Enum.into([1, 2], [0])
[0, 1, 2]
iex> Enum.into([a: 1, b: 2], %{})
%{a: 1, b: 2}
iex> Enum.into(%{a: 1}, %{b: 2})
%{a: 1, b: 2}
iex> Enum.into([a: 1, a: 2], %{})
%{a: 2}
"""
@spec into(Enumerable.t, Collectable.t) :: Collectable.t
def into(enumerable, collectable) when is_list(collectable) do
collectable ++ to_list(enumerable)
end
def into(%_{} = enumerable, collectable) do
do_into(enumerable, collectable)
end
def into(enumerable, %_{} = collectable) do
do_into(enumerable, collectable)
end
def into(%{} = enumerable, %{} = collectable) do
Map.merge(collectable, enumerable)
end
def into(enumerable, %{} = collectable) when is_list(enumerable) do
Map.merge(collectable, :maps.from_list(enumerable))
end
def into(enumerable, %{} = collectable) do
reduce(enumerable, collectable, fn {key, val}, acc ->
Map.put(acc, key, val)
end)
end
def into(enumerable, collectable) do
do_into(enumerable, collectable)
end
defp do_into(enumerable, collectable) do
{initial, fun} = Collectable.into(collectable)
into(enumerable, initial, fun, fn entry, acc ->
fun.(acc, {:cont, entry})
end)
end
@doc """
Inserts the given `enumerable` into a `collectable` according to the
transformation function.
## Examples
iex> Enum.into([2, 3], [3], fn x -> x * 3 end)
[3, 6, 9]
iex> Enum.into(%{a: 1, b: 2}, %{c: 3}, fn {k, v} -> {k, v * 2} end)
%{a: 2, b: 4, c: 3}
"""
@spec into(Enumerable.t, Collectable.t, (term -> term)) :: Collectable.t
def into(enumerable, collectable, transform)
when is_list(collectable) and is_function(transform, 1) do
collectable ++ map(enumerable, transform)
end
def into(enumerable, collectable, transform)
when is_function(transform, 1) do
{initial, fun} = Collectable.into(collectable)
into(enumerable, initial, fun, fn entry, acc ->
fun.(acc, {:cont, transform.(entry)})
end)
end
defp into(enumerable, initial, fun, callback) do
try do
reduce(enumerable, initial, callback)
catch
kind, reason ->
stacktrace = System.stacktrace
fun.(initial, :halt)
:erlang.raise(kind, reason, stacktrace)
else
acc -> fun.(acc, :done)
end
end
@doc """
Joins the given enumerable into a binary using `joiner` as a
separator.
If `joiner` is not passed at all, it defaults to the empty binary.
All items in the enumerable must be convertible to a binary,
otherwise an error is raised.
## Examples
iex> Enum.join([1, 2, 3])
"123"
iex> Enum.join([1, 2, 3], " = ")
"1 = 2 = 3"
"""
@spec join(t, String.t) :: String.t
def join(enumerable, joiner \\ "")
def join(enumerable, joiner) when is_binary(joiner) do
reduced = reduce(enumerable, :first, fn
entry, :first -> enum_to_string(entry)
entry, acc -> [acc, joiner | enum_to_string(entry)]
end)
if reduced == :first do
""
else
IO.iodata_to_binary reduced
end
end
@doc """
Returns a list where each item is the result of invoking
`fun` on each corresponding item of `enumerable`.
For maps, the function expects a key-value tuple.
## Examples
iex> Enum.map([1, 2, 3], fn(x) -> x * 2 end)
[2, 4, 6]
iex> Enum.map([a: 1, b: 2], fn({k, v}) -> {k, -v} end)
[a: -1, b: -2]
"""
@spec map(t, (element -> any)) :: list
def map(enumerable, fun)
def map(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
:lists.map(fun, enumerable)
end
def map(enumerable, fun) when is_function(fun, 1) do
reduce(enumerable, [], R.map(fun)) |> :lists.reverse
end
@doc """
Returns a list of results of invoking `fun` on every `nth`
item of `enumerable`, starting with the first element.
The first item is always passed to the given function.
The second argument specifying every `nth` item must be a non-negative
integer.
## Examples
iex> Enum.map_every(1..10, 2, fn(x) -> x * 2 end)
[2, 2, 6, 4, 10, 6, 14, 8, 18, 10]
iex> Enum.map_every(1..5, 0, fn(x) -> x * 2 end)
[1, 2, 3, 4, 5]
iex> Enum.map_every([1, 2, 3], 1, fn(x) -> x * 2 end)
[2, 4, 6]
"""
@spec map_every(t, non_neg_integer, (element -> any)) :: list
def map_every(enumerable, nth, fun)
def map_every(enumerable, 1, fun), do: map(enumerable, fun)
def map_every(enumerable, 0, _fun), do: to_list(enumerable)
def map_every([], nth, _fun) when is_integer(nth) and nth > 1, do: []
def map_every(enumerable, nth, fun) when is_integer(nth) and nth > 1 do
{res, _} = reduce(enumerable, {[], :first}, R.map_every(nth, fun))
:lists.reverse(res)
end
@doc """
Maps and joins the given enumerable in one pass.
`joiner` can be either a binary or a list and the result will be of
the same type as `joiner`.
If `joiner` is not passed at all, it defaults to an empty binary.
All items in the enumerable must be convertible to a binary,
otherwise an error is raised.
## Examples
iex> Enum.map_join([1, 2, 3], &(&1 * 2))
"246"
iex> Enum.map_join([1, 2, 3], " = ", &(&1 * 2))
"2 = 4 = 6"
"""
@spec map_join(t, String.t, (element -> any)) :: String.t
def map_join(enumerable, joiner \\ "", mapper)
def map_join(enumerable, joiner, mapper) when is_binary(joiner) and is_function(mapper, 1) do
reduced = reduce(enumerable, :first, fn
entry, :first -> enum_to_string(mapper.(entry))
entry, acc -> [acc, joiner | enum_to_string(mapper.(entry))]
end)
if reduced == :first do
""
else
IO.iodata_to_binary reduced
end
end
@doc """
Invokes the given function to each item in the enumerable to reduce
it to a single element, while keeping an accumulator.
Returns a tuple where the first element is the mapped enumerable and
the second one is the final accumulator.
The function, `fun`, receives two arguments: the first one is the
element, and the second one is the accumulator. `fun` must return
a tuple with two elements in the form of `{result, accumulator}`.
For maps, the first tuple element must be a `{key, value}` tuple.
## Examples
iex> Enum.map_reduce([1, 2, 3], 0, fn(x, acc) -> {x * 2, x + acc} end)
{[2, 4, 6], 6}
"""
@spec map_reduce(t, any, (element, any -> {any, any})) :: {any, any}
def map_reduce(enumerable, acc, fun) when is_list(enumerable) and is_function(fun) do
:lists.mapfoldl(fun, acc, enumerable)
end
def map_reduce(enumerable, acc, fun) when is_function(fun, 2) do
{list, acc} = reduce(enumerable, {[], acc},
fn(entry, {list, acc}) ->
{new_entry, acc} = fun.(entry, acc)
{[new_entry | list], acc}
end)
{:lists.reverse(list), acc}
end
@doc """
Returns the maximal element in the enumerable according
to Erlang's term ordering.
If multiple elements are considered maximal, the first one that was found
is returned.
Calls the provided `empty_fallback` function and returns its value if
`enumerable` is empty. The default `empty_fallback` raises `Enum.EmptyError`.
## Examples
iex> Enum.max([1, 2, 3])
3
iex> Enum.max([], fn -> 0 end)
0
"""
@spec max(t, (() -> empty_result)) :: element | empty_result | no_return when empty_result: any
def max(enumerable, empty_fallback \\ fn -> raise Enum.EmptyError end)
def max(enumerable, empty_fallback) when is_function(empty_fallback, 0) do
aggregate(enumerable, &(&1), &Kernel.max/2, empty_fallback)
end
@doc """
Returns the maximal element in the enumerable as calculated
by the given function.
If multiple elements are considered maximal, the first one that was found
is returned.
Calls the provided `empty_fallback` function and returns its value if
`enumerable` is empty. The default `empty_fallback` raises `Enum.EmptyError`.
## Examples
iex> Enum.max_by(["a", "aa", "aaa"], fn(x) -> String.length(x) end)
"aaa"
iex> Enum.max_by(["a", "aa", "aaa", "b", "bbb"], &String.length/1)
"aaa"
iex> Enum.max_by([], &String.length/1, fn -> nil end)
nil
"""
@spec max_by(t, (element -> any), (() -> empty_result)) :: element | empty_result | no_return when empty_result: any
def max_by(enumerable, fun, empty_fallback \\ fn -> raise Enum.EmptyError end)
def max_by(enumerable, fun, empty_fallback) when is_function(fun, 1) and is_function(empty_fallback, 0) do
aggregate_by(enumerable, &{&1, fun.(&1)}, fn entry, {_, fun_max} = old ->
fun_entry = fun.(entry)
if(fun_entry > fun_max, do: {entry, fun_entry}, else: old)
end, empty_fallback)
end
@doc """
Checks if `element` exists within the enumerable.
Membership is tested with the match (`===`) operator.
## Examples
iex> Enum.member?(1..10, 5)
true
iex> Enum.member?(1..10, 5.0)
false
iex> Enum.member?([1.0, 2.0, 3.0], 2)
false
iex> Enum.member?([1.0, 2.0, 3.0], 2.000)
true
iex> Enum.member?([:a, :b, :c], :d)
false
"""
@spec member?(t, element) :: boolean
def member?(enumerable, element) when is_list(enumerable) do
:lists.member(element, enumerable)
end
def member?(enumerable, element) do
case Enumerable.member?(enumerable, element) do
{:ok, element} when is_boolean(element) ->
element
{:error, module} ->
module.reduce(enumerable, {:cont, false}, fn
v, _ when v === element -> {:halt, true}
_, _ -> {:cont, false}
end) |> elem(1)
end
end
@doc """
Returns the minimal element in the enumerable according
to Erlang's term ordering.
If multiple elements are considered minimal, the first one that was found
is returned.
Calls the provided `empty_fallback` function and returns its value if
`enumerable` is empty. The default `empty_fallback` raises `Enum.EmptyError`.
## Examples
iex> Enum.min([1, 2, 3])
1
iex> Enum.min([], fn -> 0 end)
0
"""
@spec min(t, (() -> empty_result)) :: element | empty_result | no_return when empty_result: any
def min(enumerable, empty_fallback \\ fn -> raise Enum.EmptyError end)
def min(enumerable, empty_fallback) when is_function(empty_fallback, 0) do
aggregate(enumerable, &(&1), &Kernel.min/2, empty_fallback)
end
@doc """
Returns the minimal element in the enumerable as calculated
by the given function.
If multiple elements are considered minimal, the first one that was found
is returned.
Calls the provided `empty_fallback` function and returns its value if
`enumerable` is empty. The default `empty_fallback` raises `Enum.EmptyError`.
## Examples
iex> Enum.min_by(["a", "aa", "aaa"], fn(x) -> String.length(x) end)
"a"
iex> Enum.min_by(["a", "aa", "aaa", "b", "bbb"], &String.length/1)
"a"
iex> Enum.min_by([], &String.length/1, fn -> nil end)
nil
"""
@spec min_by(t, (element -> any), (() -> empty_result)) :: element | empty_result | no_return when empty_result: any
def min_by(enumerable, fun, empty_fallback \\ fn -> raise Enum.EmptyError end)
def min_by(enumerable, fun, empty_fallback) when is_function(fun, 1) and is_function(empty_fallback, 0) do
aggregate_by(enumerable, &{&1, fun.(&1)}, fn entry, {_, fun_min} = old ->
fun_entry = fun.(entry)
if(fun_entry < fun_min, do: {entry, fun_entry}, else: old)
end, empty_fallback)
end
@doc """
Returns a tuple with the minimal and the maximal elements in the
enumerable according to Erlang's term ordering.
If multiple elements are considered maximal or minimal, the first one
that was found is returned.
Calls the provided `empty_fallback` function and returns its value if
`enumerable` is empty. The default `empty_fallback` raises `Enum.EmptyError`.
## Examples
iex> Enum.min_max([2, 3, 1])
{1, 3}
iex> Enum.min_max([], fn -> {nil, nil} end)
{nil, nil}
"""
@spec min_max(t, (() -> empty_result)) :: {element, element} | empty_result | no_return when empty_result: any
def min_max(enumerable, empty_fallback \\ fn -> raise Enum.EmptyError end)
def min_max(enumerable, empty_fallback) when is_function(empty_fallback, 0) do
aggregate(enumerable, &{&1, &1}, fn entry, {min_value, max_value} ->
{Kernel.min(entry, min_value), Kernel.max(entry, max_value)}
end, empty_fallback)
end
@doc """
Returns a tuple with the minimal and the maximal elements in the
enumerable as calculated by the given function.
If multiple elements are considered maximal or minimal, the first one
that was found is returned.
Calls the provided `empty_fallback` function and returns its value if
`enumerable` is empty. The default `empty_fallback` raises `Enum.EmptyError`.
## Examples
iex> Enum.min_max_by(["aaa", "bb", "c"], fn(x) -> String.length(x) end)
{"c", "aaa"}
iex> Enum.min_max_by(["aaa", "a", "bb", "c", "ccc"], &String.length/1)
{"a", "aaa"}
iex> Enum.min_max_by([], &String.lenth/1, fn -> {nil, nil} end)
{nil, nil}
"""
@spec min_max_by(t, (element -> any), (() -> empty_result)) :: {element, element} | empty_result | no_return when empty_result: any
def min_max_by(enumerable, fun, empty_fallback \\ fn -> raise Enum.EmptyError end)
def min_max_by(enumerable, fun, empty_fallback) when is_function(fun, 1) and is_function(empty_fallback, 0) do
aggregate_by(enumerable,
fn entry ->
fun_entry = fun.(entry)
{{entry, entry}, {fun_entry, fun_entry}}
end,
fn entry, {{prev_min, prev_max}, {fun_min, fun_max}} = acc ->
fun_entry = fun.(entry)
cond do
fun_entry < fun_min ->
{{entry, prev_max}, {fun_entry, fun_max}}
fun_entry > fun_max ->
{{prev_min, entry}, {fun_min, fun_entry}}
true ->
acc
end
end,
empty_fallback)
end
defp aggregate([head | tail], first, fun, _empty) do
:lists.foldl(fun, first.(head), tail)
end
defp aggregate(enumerable, first, fun, empty) do
ref = make_ref()
reduce(enumerable, ref, fn
element, ^ref -> first.(element)
element, acc -> fun.(element, acc)
end) |> apply_if_ref_or_return(ref, empty)
end
defp apply_if_ref_or_return(ref, ref, fun), do: fun.()
defp apply_if_ref_or_return(val, _, _fun), do: val
defp aggregate_by([head | tail], first, fun, _empty) do
:lists.foldl(fun, first.(head), tail) |> elem(0)
end
defp aggregate_by(enumerable, first, fun, empty) do
reduce(enumerable, :empty, fn
element, :empty -> first.(element)
element, acc -> fun.(element, acc)
end) |> apply_if_empty_or_zeroth(empty)
end
defp apply_if_empty_or_zeroth(:empty, fun), do: fun.()
defp apply_if_empty_or_zeroth(tuple, _fun) when is_tuple(tuple), do: elem(tuple, 0)
@doc """
Splits the `enumerable` in two lists according to the given function `fun`.
Splits the given `enumerable` in two lists by calling `fun` with each element
in the `enumerable` as its only argument. Returns a tuple with the first list
containing all the elements in `enumerable` for which applying `fun` returned
a truthy value, and a second list with all the elements for which applying
`fun` returned a falsey value (`false` or `nil`).
The elements in both the returned lists are in the same relative order as they
were in the original enumerable (if such enumerable was ordered, e.g., a
list); see the examples below.
## Examples
iex> Enum.split_with([5, 4, 3, 2, 1, 0], fn(x) -> rem(x, 2) == 0 end)
{[4, 2, 0], [5, 3, 1]}
iex> Enum.split_with(%{a: 1, b: -2, c: 1, d: -3}, fn({_k, v}) -> v < 0 end)
{[b: -2, d: -3], [a: 1, c: 1]}
iex> Enum.split_with(%{a: 1, b: -2, c: 1, d: -3}, fn({_k, v}) -> v > 50 end)
{[], [a: 1, b: -2, c: 1, d: -3]}
iex> Enum.split_with(%{}, fn({_k, v}) -> v > 50 end)
{[], []}
"""
@spec split_with(t, (element -> any)) :: {list, list}
def split_with(enumerable, fun) when is_function(fun, 1) do
{acc1, acc2} =
reduce(enumerable, {[], []}, fn(entry, {acc1, acc2}) ->
if fun.(entry) do
{[entry | acc1], acc2}
else
{acc1, [entry | acc2]}
end
end)
{:lists.reverse(acc1), :lists.reverse(acc2)}
end
@doc false
# TODO: Deprecate by v1.6 (hard-deprecation)
@spec partition(t, (element -> any)) :: {list, list}
def partition(enumerable, fun) when is_function(fun, 1) do
split_with(enumerable, fun)
end
@doc """
Returns a random element of an enumerable.
Raises `Enum.EmptyError` if `enumerable` is empty.
This function uses Erlang's [`:rand` module](http://www.erlang.org/doc/man/rand.html) to calculate
the random value. Check its documentation for setting a
different random algorithm or a different seed.
The implementation is based on the
[reservoir sampling](https://en.wikipedia.org/wiki/Reservoir_sampling#Relation_to_Fisher-Yates_shuffle)
algorithm.
It assumes that the sample being returned can fit into memory;
the input `enumerable` doesn't have to, as it is traversed just once.
If a range is passed into the function, this function will pick a
random value between the range limits, without traversing the whole
range (thus executing in constant time and constant memory).
## Examples
# Although not necessary, let's seed the random algorithm
iex> :rand.seed(:exsplus, {101, 102, 103})
iex> Enum.random([1, 2, 3])
2
iex> Enum.random([1, 2, 3])
1
iex> Enum.random(1..1_000)
776
"""
@spec random(t) :: element | no_return
def random(enumerable)
def random(first..last),
do: random_integer(first, last)
def random(enumerable) do
case Enumerable.count(enumerable) do
{:ok, 0} ->
raise Enum.EmptyError
{:ok, count} ->
at(enumerable, random_integer(0, count - 1))
{:error, _} ->
case take_random(enumerable, 1) do
[] -> raise Enum.EmptyError
[elem] -> elem
end
end
end
@doc """
Invokes `fun` for each element in the `enumerable`, passing that
element and the accumulator as arguments. `fun`'s return value
is stored in the accumulator.
The first element of the enumerable is used as the initial value of
the accumulator.
If you wish to use another value for the accumulator, use
`Enumerable.reduce/3`.
This function won't call the specified function for enumerables that
are one-element long.
Returns the accumulator.
Note that since the first element of the enumerable is used as the
initial value of the accumulator, `fun` will only be executed `n - 1`
times where `n` is the length of the enumerable.
## Examples
iex> Enum.reduce([1, 2, 3, 4], fn(x, acc) -> x * acc end)
24
"""
@spec reduce(t, (element, any -> any)) :: any
def reduce(enumerable, fun)
def reduce([h | t], fun) when is_function(fun, 2) do
reduce(t, h, fun)
end
def reduce([], _fun) do
raise Enum.EmptyError
end
def reduce(enumerable, fun) when is_function(fun, 2) do
result =
Enumerable.reduce(enumerable, {:cont, :first}, fn
x, :first ->
{:cont, {:acc, x}}
x, {:acc, acc} ->
{:cont, {:acc, fun.(x, acc)}}
end) |> elem(1)
case result do
:first -> raise Enum.EmptyError
{:acc, acc} -> acc
end
end
@doc """
Invokes `fun` for each element in the `enumerable`, passing that
element and the accumulator `acc` as arguments. `fun`'s return value
is stored in `acc`.
Returns the accumulator.
## Examples
iex> Enum.reduce([1, 2, 3], 0, fn(x, acc) -> x + acc end)
6
"""
@spec reduce(t, any, (element, any -> any)) :: any
def reduce(enumerable, acc, fun) when is_list(enumerable) and is_function(fun, 2) do
:lists.foldl(fun, acc, enumerable)
end
def reduce(first..last, acc, fun) when is_function(fun, 2) do
if first <= last do
reduce_range_inc(first, last, acc, fun)
else
reduce_range_dec(first, last, acc, fun)
end
end
def reduce(%{__struct__: _} = enumerable, acc, fun) when is_function(fun, 2) do
Enumerable.reduce(enumerable, {:cont, acc},
fn x, acc -> {:cont, fun.(x, acc)} end) |> elem(1)
end
def reduce(%{} = enumerable, acc, fun) when is_function(fun, 2) do
:maps.fold(fn k, v, acc -> fun.({k, v}, acc) end, acc, enumerable)
end
def reduce(enumerable, acc, fun) when is_function(fun, 2) do
Enumerable.reduce(enumerable, {:cont, acc},
fn x, acc -> {:cont, fun.(x, acc)} end) |> elem(1)
end
defp reduce_range_inc(first, first, acc, fun) do
fun.(first, acc)
end
defp reduce_range_inc(first, last, acc, fun) do
reduce_range_inc(first + 1, last, fun.(first, acc), fun)
end
defp reduce_range_dec(first, first, acc, fun) do
fun.(first, acc)
end
defp reduce_range_dec(first, last, acc, fun) do
reduce_range_dec(first - 1, last, fun.(first, acc), fun)
end
@doc """
Reduces the enumerable until `fun` returns `{:halt, term}`.
The return value for `fun` is expected to be
* `{:cont, acc}` to continue the reduction with `acc` as the new
accumulator or
* `{:halt, acc}` to halt the reduction and return `acc` as the return
value of this function
## Examples
iex> Enum.reduce_while(1..100, 0, fn i, acc ->
...> if i < 3, do: {:cont, acc + i}, else: {:halt, acc}
...> end)
3
"""
@spec reduce_while(t, any, (element, any -> {:cont, any} | {:halt, any})) :: any
def reduce_while(enumerable, acc, fun) when is_function(fun, 2) do
Enumerable.reduce(enumerable, {:cont, acc}, fun) |> elem(1)
end
@doc """
Returns elements of `enumerable` for which the function `fun` returns
`false` or `nil`.
See also `filter/2`.
## Examples
iex> Enum.reject([1, 2, 3], fn(x) -> rem(x, 2) == 0 end)
[1, 3]
"""
@spec reject(t, (element -> as_boolean(term))) :: list
def reject(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
for item <- enumerable, !fun.(item), do: item
end
def reject(enumerable, fun) when is_function(fun, 1) do
reduce(enumerable, [], R.reject(fun)) |> :lists.reverse
end
@doc """
Returns a list of elements in `enumerable` in reverse order.
## Examples
iex> Enum.reverse([1, 2, 3])
[3, 2, 1]
"""
@spec reverse(t) :: list
def reverse([]), do: []
def reverse([_] = l), do: l
def reverse([a, b]), do: [b, a]
def reverse([a, b | l]), do: :lists.reverse(l, [b, a])
def reverse(enumerable), do: reduce(enumerable, [], &[&1 | &2])
@doc """
Reverses the elements in `enumerable`, appends the tail, and returns
it as a list.
This is an optimization for
`Enum.concat(Enum.reverse(enumerable), tail)`.
## Examples
iex> Enum.reverse([1, 2, 3], [4, 5, 6])
[3, 2, 1, 4, 5, 6]
"""
@spec reverse(t, t) :: list
def reverse(enumerable, tail) when is_list(enumerable) do
:lists.reverse(enumerable, to_list(tail))
end
def reverse(enumerable, tail) do
reduce(enumerable, to_list(tail), fn(entry, acc) ->
[entry | acc]
end)
end
@doc """
Reverses the enumerable in the range from initial position `start`
through `count` elements.
If `count` is greater than the size of the rest of the enumerable,
then this function will reverse the rest of the enumerable.
## Examples
iex> Enum.reverse_slice([1, 2, 3, 4, 5, 6], 2, 4)
[1, 2, 6, 5, 4, 3]
"""
@spec reverse_slice(t, non_neg_integer, non_neg_integer) :: list
def reverse_slice(enumerable, start, count)
when is_integer(start) and start >= 0 and is_integer(count) and count >= 0 do
list = reverse(enumerable)
length = length(list)
count = Kernel.min(count, length - start)
if count > 0 do
reverse_slice(list, length, start + count, count, [])
else
:lists.reverse(list)
end
end
@doc """
Applies the given function to each element in the enumerable,
storing the result in a list and passing it as the accumulator
for the next computation.
## Examples
iex> Enum.scan(1..5, &(&1 + &2))
[1, 3, 6, 10, 15]
"""
@spec scan(t, (element, any -> any)) :: list
def scan(enumerable, fun) when is_function(fun, 2) do
{res, _} = reduce(enumerable, {[], :first}, R.scan2(fun))
:lists.reverse(res)
end
@doc """
Applies the given function to each element in the enumerable,
storing the result in a list and passing it as the accumulator
for the next computation. Uses the given `acc` as the starting value.
## Examples
iex> Enum.scan(1..5, 0, &(&1 + &2))
[1, 3, 6, 10, 15]
"""
@spec scan(t, any, (element, any -> any)) :: list
def scan(enumerable, acc, fun) when is_function(fun, 2) do
{res, _} = reduce(enumerable, {[], acc}, R.scan3(fun))
:lists.reverse(res)
end
@doc """
Returns a list with the elements of `enumerable` shuffled.
This function uses Erlang's [`:rand` module](http://www.erlang.org/doc/man/rand.html) to calculate
the random value. Check its documentation for setting a
different random algorithm or a different seed.
## Examples
# Although not necessary, let's seed the random algorithm
iex> :rand.seed(:exsplus, {1, 2, 3})
iex> Enum.shuffle([1, 2, 3])
[2, 1, 3]
iex> Enum.shuffle([1, 2, 3])
[2, 3, 1]
"""
@spec shuffle(t) :: list
def shuffle(enumerable) do
randomized = reduce(enumerable, [], fn x, acc ->
[{:rand.uniform, x} | acc]
end)
unwrap(:lists.keysort(1, randomized), [])
end
@doc """
Returns a subset list of the given enumerable, from `range.first` to `range.last` positions.
Given `enumerable`, it drops elements until element position `range.first`,
then takes elements until element position `range.last` (inclusive).
Positions are normalized, meaning that negative positions will be counted from the end
(e.g. `-1` means the last element of the enumerable).
If `range.last` is out of bounds, then it is assigned as the position of the last element.
If the normalized `range.first` position is out of bounds of the given enumerable,
or this one is greater than the normalized `range.last` position, then `[]` is returned.
## Examples
iex> Enum.slice(1..100, 5..10)
[6, 7, 8, 9, 10, 11]
iex> Enum.slice(1..10, 5..20)
[6, 7, 8, 9, 10]
# last five elements (negative positions)
iex> Enum.slice(1..30, -5..-1)
[26, 27, 28, 29, 30]
# last five elements (mixed positive and negative positions)
iex> Enum.slice(1..30, 25..-1)
[26, 27, 28, 29, 30]
# out of bounds
iex> Enum.slice(1..10, 11..20)
[]
# range.first is greater than range.last
iex> Enum.slice(1..10, 6..5)
[]
"""
@spec slice(t, Range.t) :: list
def slice(enumerable, range)
def slice(enumerable, first..last) do
{enumerable, count} = enumerable_and_count(enumerable, 0)
corr_first = if first >= 0, do: first, else: first + count
corr_last = if last >= 0, do: last, else: last + count
amount = corr_last - corr_first + 1
if corr_first >= 0 and amount > 0 do
slice(enumerable, corr_first, amount)
else
[]
end
end
@doc """
Returns a subset list of the given enumerable, from `start` position with `amount` of elements if available.
Given `enumerable`, it drops elements until element position `start`,
then takes `amount` of elements until the end of the enumerable.
If `start` is out of bounds, it returns `[]`.
If `amount` is greater than `enumerable` length, it returns as many elements as possible.
If `amount` is zero, then `[]` is returned.
## Examples
iex> Enum.slice(1..100, 5, 10)
[6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
# amount to take is greater than the number of elements
iex> Enum.slice(1..10, 5, 100)
[6, 7, 8, 9, 10]
iex> Enum.slice(1..10, 5, 0)
[]
# out of bound start position
iex> Enum.slice(1..10, 10, 5)
[]
# out of bound start position (negative)
iex> Enum.slice(1..10, -11, 5)
[]
"""
@spec slice(t, index, non_neg_integer) :: list
def slice(_enumerable, start, 0) when is_integer(start), do: []
def slice(enumerable, start, amount)
when is_integer(start) and start < 0 and is_integer(amount) and amount >= 0 do
{enumerable, new_start} = enumerable_and_count(enumerable, start)
if new_start >= 0 do
slice(enumerable, new_start, amount)
else
[]
end
end
def slice(first..last, start, amount)
when is_integer(start) and start >= 0 and is_integer(amount) and amount > 0 do
case fetch_range(first, last, start) do
{:ok, sliced_first} ->
finish = start + amount - 1
case fetch_range(first, last, finish) do
{:ok, sliced_last} ->
reverse(sliced_last..sliced_first)
:error ->
reverse(last..sliced_first)
end
:error ->
[]
end
end
def slice(enumerable, start, amount)
when is_list(enumerable) and
is_integer(start) and start >= 0 and is_integer(amount) and amount > 0 do
slice_list(enumerable, start, amount)
end
def slice(enumerable, start, amount)
when is_integer(start) and start >= 0 and is_integer(amount) and amount > 0 do
Enumerable.reduce(enumerable, {:cont, {start, amount, []}}, fn
_entry, {start, amount, _list} when start > 0 ->
{:cont, {start - 1, amount, []}}
entry, {start, amount, list} when amount > 1 ->
{:cont, {start, amount - 1, [entry | list]}}
entry, {start, amount, list} ->
{:halt, {start, amount, [entry | list]}}
end)
|> elem(1)
|> elem(2)
|> :lists.reverse()
end
@doc """
Sorts the enumerable according to Erlang's term ordering.
Uses the merge sort algorithm.
## Examples
iex> Enum.sort([3, 2, 1])
[1, 2, 3]
"""
@spec sort(t) :: list
def sort(enumerable) when is_list(enumerable) do
:lists.sort(enumerable)
end
def sort(enumerable) do
sort(enumerable, &(&1 <= &2))
end
@doc """
Sorts the enumerable by the given function.
This function uses the merge sort algorithm. The given function should compare
two arguments, and return `true` if the first argument precedes the second one.
## Examples
iex> Enum.sort([1, 2, 3], &(&1 >= &2))
[3, 2, 1]
The sorting algorithm will be stable as long as the given function
returns `true` for values considered equal:
iex> Enum.sort ["some", "kind", "of", "monster"], &(byte_size(&1) <= byte_size(&2))
["of", "some", "kind", "monster"]
If the function does not return `true` for equal values, the sorting
is not stable and the order of equal terms may be shuffled.
For example:
iex> Enum.sort ["some", "kind", "of", "monster"], &(byte_size(&1) < byte_size(&2))
["of", "kind", "some", "monster"]
"""
@spec sort(t, (element, element -> boolean)) :: list
def sort(enumerable, fun) when is_list(enumerable) and is_function(fun, 2) do
:lists.sort(fun, enumerable)
end
def sort(enumerable, fun) when is_function(fun, 2) do
reduce(enumerable, [], &sort_reducer(&1, &2, fun))
|> sort_terminator(fun)
end
@doc """
Sorts the mapped results of the enumerable according to the provided `sorter`
function.
This function maps each element of the enumerable using the provided `mapper`
function. The enumerable is then sorted by the mapped elements
using the `sorter` function, which defaults to `Kernel.<=/2`
`sort_by/3` differs from `sort/2` in that it only calculates the
comparison value for each element in the enumerable once instead of
once for each element in each comparison.
If the same function is being called on both element, it's also more
compact to use `sort_by/3`.
This technique is also known as a
_[Schwartzian Transform](https://en.wikipedia.org/wiki/Schwartzian_transform)_,
or the _Lisp decorate-sort-undecorate idiom_ as the `mapper`
is decorating the original `enumerable`; then `sorter` is sorting the
decorations; and finally the enumerable is being undecorated so only
the original elements remain, but now in sorted order.
## Examples
Using the default `sorter` of `<=/2`:
iex> Enum.sort_by ["some", "kind", "of", "monster"], &byte_size/1
["of", "some", "kind", "monster"]
Using a custom `sorter` to override the order:
iex> Enum.sort_by ["some", "kind", "of", "monster"], &byte_size/1, &>=/2
["monster", "some", "kind", "of"]
"""
@spec sort_by(t, (element -> mapped_element),
(mapped_element, mapped_element -> boolean))
:: list when mapped_element: element
def sort_by(enumerable, mapper, sorter \\ &<=/2)
when is_function(mapper, 1) and is_function(sorter, 2) do
enumerable
|> map(&{&1, mapper.(&1)})
|> sort(&sorter.(elem(&1, 1), elem(&2, 1)))
|> map(&elem(&1, 0))
end
@doc """
Splits the `enumerable` into two enumerables, leaving `count`
elements in the first one.
If `count` is a negative number, it starts counting from the
back to the beginning of the enumerable.
Be aware that a negative `count` implies the `enumerable`
will be enumerated twice: once to calculate the position, and
a second time to do the actual splitting.
## Examples
iex> Enum.split([1, 2, 3], 2)
{[1, 2], [3]}
iex> Enum.split([1, 2, 3], 10)
{[1, 2, 3], []}
iex> Enum.split([1, 2, 3], 0)
{[], [1, 2, 3]}
iex> Enum.split([1, 2, 3], -1)
{[1, 2], [3]}
iex> Enum.split([1, 2, 3], -5)
{[], [1, 2, 3]}
"""
@spec split(t, integer) :: {list, list}
def split(enumerable, count) when is_list(enumerable) and count >= 0 do
do_split(enumerable, count, [])
end
def split(enumerable, count) when count >= 0 do
{_, list1, list2} =
reduce(enumerable, {count, [], []},
fn(entry, {counter, acc1, acc2}) ->
if counter > 0 do
{counter - 1, [entry | acc1], acc2}
else
{counter, acc1, [entry | acc2]}
end
end)
{:lists.reverse(list1), :lists.reverse(list2)}
end
def split(enumerable, count) when count < 0 do
do_split_reverse(reverse(enumerable), abs(count), [])
end
@doc """
Splits enumerable in two at the position of the element for which
`fun` returns `false` for the first time.
## Examples
iex> Enum.split_while([1, 2, 3, 4], fn(x) -> x < 3 end)
{[1, 2], [3, 4]}
"""
@spec split_while(t, (element -> as_boolean(term))) :: {list, list}
def split_while(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
do_split_while(enumerable, fun, [])
end
def split_while(enumerable, fun) when is_function(fun, 1) do
{list1, list2} =
reduce(enumerable, {[], []}, fn
entry, {acc1, []} ->
if(fun.(entry), do: {[entry | acc1], []}, else: {acc1, [entry]})
entry, {acc1, acc2} ->
{acc1, [entry | acc2]}
end)
{:lists.reverse(list1), :lists.reverse(list2)}
end
@doc """
Returns the sum of all elements.
Raises `ArithmeticError` if `enumerable` contains a non-numeric value.
## Examples
iex> Enum.sum([1, 2, 3])
6
"""
@spec sum(t) :: number
def sum(enumerable)
def sum(first..first),
do: first
def sum(first..last) when last < first,
do: sum(last..first)
def sum(first..last) when last > first do
div((last + first) * (last - first + 1), 2)
end
def sum(enumerable) do
reduce(enumerable, 0, &+/2)
end
@doc """
Takes the first `count` items from the enumerable.
`count` must be an integer. If a negative `count` is given, the last
`count` values will be taken.
For such, the enumerable is fully enumerated keeping up
to `2 * count` elements in memory. Once the end of the enumerable is
reached, the last `count` elements are returned.
## Examples
iex> Enum.take([1, 2, 3], 2)
[1, 2]
iex> Enum.take([1, 2, 3], 10)
[1, 2, 3]
iex> Enum.take([1, 2, 3], 0)
[]
iex> Enum.take([1, 2, 3], -1)
[3]
"""
@spec take(t, integer) :: list
def take(enumerable, count)
def take(_enumerable, 0), do: []
def take([], _count), do: []
def take(enumerable, count)
when is_list(enumerable) and is_integer(count) and count > 0 do
do_take(enumerable, count, [])
end
def take(enumerable, count) when is_integer(count) and count > 0 do
{_, {res, _}} =
Enumerable.reduce(enumerable, {:cont, {[], count}},
fn(entry, {list, n}) ->
case n do
0 -> {:halt, {list, n}}
1 -> {:halt, {[entry | list], n - 1}}
_ -> {:cont, {[entry | list], n - 1}}
end
end)
:lists.reverse(res)
end
def take(enumerable, count) when is_integer(count) and count < 0 do
count = abs(count)
{_count, buf1, buf2} =
reduce(enumerable, {0, [], []}, fn entry, {n, buf1, buf2} ->
buf1 = [entry | buf1]
n = n + 1
if n == count do
{0, [], buf1}
else
{n, buf1, buf2}
end
end)
do_take_last(buf1, buf2, count, [])
end
defp do_take_last(_buf1, _buf2, 0, acc),
do: acc
defp do_take_last([], [], _, acc),
do: acc
defp do_take_last([], [h | t], count, acc),
do: do_take_last([], t, count - 1, [h | acc])
defp do_take_last([h | t], buf2, count, acc),
do: do_take_last(t, buf2, count - 1, [h | acc])
@doc """
Returns a list of every `nth` item in the enumerable,
starting with the first element.
The first item is always included, unless `nth` is 0.
The second argument specifying every `nth` item must be a non-negative
integer.
## Examples
iex> Enum.take_every(1..10, 2)
[1, 3, 5, 7, 9]
iex> Enum.take_every(1..10, 0)
[]
iex> Enum.take_every([1, 2, 3], 1)
[1, 2, 3]
"""
@spec take_every(t, non_neg_integer) :: list
def take_every(enumerable, nth)
def take_every(enumerable, 1), do: to_list(enumerable)
def take_every(_enumerable, 0), do: []
def take_every([], nth) when is_integer(nth) and nth > 1, do: []
def take_every(enumerable, nth) when is_integer(nth) and nth > 1 do
{res, _} = reduce(enumerable, {[], :first}, R.take_every(nth))
:lists.reverse(res)
end
@doc """
Takes `count` random items from `enumerable`.
Notice this function will traverse the whole `enumerable` to
get the random sublist.
See `random/1` for notes on implementation and random seed.
## Examples
# Although not necessary, let's seed the random algorithm
iex> :rand.seed(:exsplus, {1, 2, 3})
iex> Enum.take_random(1..10, 2)
[5, 4]
iex> Enum.take_random(?a..?z, 5)
'ipybz'
"""
@spec take_random(t, non_neg_integer) :: list
def take_random(enumerable, count)
def take_random(_enumerable, 0),
do: []
def take_random(first..first, count) when is_integer(count) and count >= 1,
do: [first]
def take_random(enumerable, count) when is_integer(count) and count > 128 do
reducer = fn(elem, {idx, sample}) ->
jdx = random_integer(0, idx)
cond do
idx < count ->
value = Map.get(sample, jdx)
{idx + 1, Map.put(sample, idx, value) |> Map.put(jdx, elem)}
jdx < count ->
{idx + 1, Map.put(sample, jdx, elem)}
true ->
{idx + 1, sample}
end
end
{size, sample} = reduce(enumerable, {0, %{}}, reducer)
take_random(sample, Kernel.min(count, size), [])
end
def take_random(enumerable, count) when is_integer(count) and count > 0 do
sample = Tuple.duplicate(nil, count)
reducer = fn(elem, {idx, sample}) ->
jdx = random_integer(0, idx)
cond do
idx < count ->
value = elem(sample, jdx)
{idx + 1, put_elem(sample, idx, value) |> put_elem(jdx, elem)}
jdx < count ->
{idx + 1, put_elem(sample, jdx, elem)}
true ->
{idx + 1, sample}
end
end
{size, sample} = reduce(enumerable, {0, sample}, reducer)
sample |> Tuple.to_list |> take(Kernel.min(count, size))
end
defp take_random(_sample, 0, acc), do: acc
defp take_random(sample, position, acc) do
position = position - 1
take_random(sample, position, [Map.get(sample, position) | acc])
end
@doc """
Takes the items from the beginning of the enumerable while `fun` returns
a truthy value.
## Examples
iex> Enum.take_while([1, 2, 3], fn(x) -> x < 3 end)
[1, 2]
"""
@spec take_while(t, (element -> as_boolean(term))) :: list
def take_while(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
do_take_while(enumerable, fun, [])
end
def take_while(enumerable, fun) when is_function(fun, 1) do
{_, res} =
Enumerable.reduce(enumerable, {:cont, []}, fn(entry, acc) ->
if fun.(entry) do
{:cont, [entry | acc]}
else
{:halt, acc}
end
end)
:lists.reverse(res)
end
@doc """
Converts `enumerable` to a list.
## Examples
iex> Enum.to_list(1..3)
[1, 2, 3]
"""
@spec to_list(t) :: [element]
def to_list(enumerable) when is_list(enumerable) do
enumerable
end
def to_list(enumerable) do
reverse(enumerable) |> :lists.reverse
end
@doc """
Enumerates the `enumerable`, removing all duplicated elements.
## Examples
iex> Enum.uniq([1, 2, 3, 3, 2, 1])
[1, 2, 3]
"""
@spec uniq(t) :: list
def uniq(enumerable) do
uniq_by(enumerable, fn x -> x end)
end
@doc false
# TODO: Remove on 2.0
# (hard-deprecated in elixir_dispatch)
def uniq(enumerable, fun) do
uniq_by(enumerable, fun)
end
@doc """
Enumerates the `enumerable`, by removing the elements for which
function `fun` returned duplicate items.
The function `fun` maps every element to a term which is used to
determine if two elements are duplicates.
The first occurrence of each element is kept.
## Example
iex> Enum.uniq_by([{1, :x}, {2, :y}, {1, :z}], fn {x, _} -> x end)
[{1, :x}, {2, :y}]
iex> Enum.uniq_by([a: {:tea, 2}, b: {:tea, 2}, c: {:coffee, 1}], fn {_, y} -> y end)
[a: {:tea, 2}, c: {:coffee, 1}]
"""
@spec uniq_by(t, (element -> term)) :: list
def uniq_by(enumerable, fun) when is_list(enumerable) and is_function(fun, 1) do
do_uniq(enumerable, %{}, fun, [])
end
def uniq_by(enumerable, fun) when is_function(fun, 1) do
{list, _} = reduce(enumerable, {[], %{}}, R.uniq_by(fun))
:lists.reverse(list)
end
@doc """
Opposite of `Enum.zip/2`; extracts a two-element tuples from the
enumerable and groups them together.
It takes an enumerable with items being two-element tuples and returns
a tuple with two lists, each of which is formed by the first and
second element of each tuple, respectively.
This function fails unless `enumerable` is or can be converted into a
list of tuples with *exactly* two elements in each tuple.
## Examples
iex> Enum.unzip([{:a, 1}, {:b, 2}, {:c, 3}])
{[:a, :b, :c], [1, 2, 3]}
iex> Enum.unzip(%{a: 1, b: 2})
{[:a, :b], [1, 2]}
"""
@spec unzip(t) :: {[element], [element]}
def unzip(enumerable) do
{list1, list2} = reduce(enumerable, {[], []},
fn({el1, el2}, {list1, list2}) ->
{[el1 | list1], [el2 | list2]}
end)
{:lists.reverse(list1), :lists.reverse(list2)}
end
@doc """
Returns the enumerable with each element wrapped in a tuple
alongside its index.
If an `offset` is given, we will index from the given offset instead of from zero.
## Examples
iex> Enum.with_index([:a, :b, :c])
[a: 0, b: 1, c: 2]
iex> Enum.with_index([:a, :b, :c], 3)
[a: 3, b: 4, c: 5]
"""
@spec with_index(t) :: [{element, index}]
@spec with_index(t, integer) :: [{element, index}]
def with_index(enumerable, offset \\ 0) do
map_reduce(enumerable, offset, fn x, acc ->
{{x, acc}, acc + 1}
end) |> elem(0)
end
@doc """
Zips corresponding elements from two enumerables into one list
of tuples.
The zipping finishes as soon as any enumerable completes.
## Examples
iex> Enum.zip([1, 2, 3], [:a, :b, :c])
[{1, :a}, {2, :b}, {3, :c}]
iex> Enum.zip([1, 2, 3, 4, 5], [:a, :b, :c])
[{1, :a}, {2, :b}, {3, :c}]
"""
@spec zip(t, t) :: [{any, any}]
def zip(enumerable1, enumerable2)
when is_list(enumerable1) and is_list(enumerable2) do
do_zip(enumerable1, enumerable2, [])
end
def zip(enumerable1, enumerable2) do
zip([enumerable1, enumerable2])
end
@doc """
Zips corresponding elements from a collection of enumerables
into one list of tuples.
The zipping finishes as soon as any enumerable completes.
## Examples
iex> Enum.zip([[1, 2, 3], [:a, :b, :c], ["foo", "bar", "baz"]])
[{1, :a, "foo"}, {2, :b, "bar"}, {3, :c, "baz"}]
iex> Enum.zip([[1, 2, 3, 4, 5], [:a, :b, :c]])
[{1, :a}, {2, :b}, {3, :c}]
"""
@spec zip([t]) :: t
def zip([]), do: []
def zip(enumerables) do
Stream.zip(enumerables).({:cont, []}, &{:cont, [&1 | &2]})
|> elem(1)
|> :lists.reverse
end
## Helpers
@compile {:inline, enum_to_string: 1, reduce: 3}
defp enum_to_string(entry) when is_binary(entry), do: entry
defp enum_to_string(entry), do: String.Chars.to_string(entry)
defp enumerable_and_count(enumerable, count) when is_list(enumerable) do
{enumerable, length(enumerable) - abs(count)}
end
defp enumerable_and_count(enumerable, count) do
case Enumerable.count(enumerable) do
{:ok, result} ->
{enumerable, result - abs(count)}
{:error, _module} ->
map_reduce(enumerable, -abs(count), fn(elem, acc) -> {elem, acc + 1} end)
end
end
defp random_integer(limit, limit) when is_integer(limit),
do: limit
defp random_integer(lower_limit, upper_limit) when upper_limit < lower_limit,
do: random_integer(upper_limit, lower_limit)
defp random_integer(lower_limit, upper_limit) do
lower_limit + :rand.uniform(upper_limit - lower_limit + 1) - 1
end
## Implementations
## all?
defp do_all?([h | t], fun) do
if fun.(h) do
do_all?(t, fun)
else
false
end
end
defp do_all?([], _) do
true
end
## any?
defp do_any?([h | t], fun) do
if fun.(h) do
true
else
do_any?(t, fun)
end
end
defp do_any?([], _) do
false
end
## drop
defp drop_list([_ | t], counter) when counter > 0 do
drop_list(t, counter - 1)
end
defp drop_list(list, 0) do
list
end
defp drop_list([], _) do
[]
end
## drop_while
defp do_drop_while([h | t], fun) do
if fun.(h) do
do_drop_while(t, fun)
else
[h | t]
end
end
defp do_drop_while([], _) do
[]
end
## fetch
defp fetch_list([], _index),
do: :error
defp fetch_list([head | _], 0),
do: {:ok, head}
defp fetch_list([_ | tail], index),
do: fetch_list(tail, index - 1)
defp fetch_range(first, last, index) when first <= last and index >= 0 do
item = first + index
if item > last, do: :error, else: {:ok, item}
end
defp fetch_range(first, last, index) when first <= last do
item = last + index + 1
if item < first, do: :error, else: {:ok, item}
end
defp fetch_range(first, last, index) when index >= 0 do
item = first - index
if item < last, do: :error, else: {:ok, item}
end
defp fetch_range(first, last, index) do
item = last - index - 1
if item > first, do: :error, else: {:ok, item}
end
## find
defp do_find([h | t], default, fun) do
if fun.(h) do
h
else
do_find(t, default, fun)
end
end
defp do_find([], default, _) do
default
end
## find_index
defp do_find_index([h | t], counter, fun) do
if fun.(h) do
counter
else
do_find_index(t, counter + 1, fun)
end
end
defp do_find_index([], _, _) do
nil
end
## find_value
defp do_find_value([h | t], default, fun) do
fun.(h) || do_find_value(t, default, fun)
end
defp do_find_value([], default, _) do
default
end
## shuffle
defp unwrap([{_, h} | enumerable], t) do
unwrap(enumerable, [h | t])
end
defp unwrap([], t), do: t
## reverse_slice
defp reverse_slice(rest, idx, idx, count, acc) do
{slice, rest} = head_slice(rest, count, [])
:lists.reverse(rest, :lists.reverse(slice, acc))
end
defp reverse_slice([elem | rest], idx, start, count, acc) do
reverse_slice(rest, idx - 1, start, count, [elem | acc])
end
defp head_slice(rest, 0, acc), do: {acc, rest}
defp head_slice([elem | rest], count, acc) do
head_slice(rest, count - 1, [elem | acc])
end
## slice
defp slice_list([], _start, _count),
do: []
defp slice_list(_list, _start, 0),
do: []
defp slice_list([head | tail], 0, count),
do: [head | slice_list(tail, 0, count - 1)]
defp slice_list([_ | tail], start, count),
do: slice_list(tail, start - 1, count)
## sort
defp sort_reducer(entry, {:split, y, x, r, rs, bool}, fun) do
cond do
fun.(y, entry) == bool ->
{:split, entry, y, [x | r], rs, bool}
fun.(x, entry) == bool ->
{:split, y, entry, [x | r], rs, bool}
r == [] ->
{:split, y, x, [entry], rs, bool}
true ->
{:pivot, y, x, r, rs, entry, bool}
end
end
defp sort_reducer(entry, {:pivot, y, x, r, rs, s, bool}, fun) do
cond do
fun.(y, entry) == bool ->
{:pivot, entry, y, [x | r], rs, s, bool}
fun.(x, entry) == bool ->
{:pivot, y, entry, [x | r], rs, s, bool}
fun.(s, entry) == bool ->
{:split, entry, s, [], [[y, x | r] | rs], bool}
true ->
{:split, s, entry, [], [[y, x | r] | rs], bool}
end
end
defp sort_reducer(entry, [x], fun) do
{:split, entry, x, [], [], fun.(x, entry)}
end
defp sort_reducer(entry, acc, _fun) do
[entry | acc]
end
defp sort_terminator({:split, y, x, r, rs, bool}, fun) do
sort_merge([[y, x | r] | rs], fun, bool)
end
defp sort_terminator({:pivot, y, x, r, rs, s, bool}, fun) do
sort_merge([[s], [y, x | r] | rs], fun, bool)
end
defp sort_terminator(acc, _fun) do
acc
end
defp sort_merge(list, fun, true), do:
reverse_sort_merge(list, [], fun, true)
defp sort_merge(list, fun, false), do:
sort_merge(list, [], fun, false)
defp sort_merge([t1, [h2 | t2] | l], acc, fun, true), do:
sort_merge(l, [sort_merge1(t1, h2, t2, [], fun, false) | acc], fun, true)
defp sort_merge([[h2 | t2], t1 | l], acc, fun, false), do:
sort_merge(l, [sort_merge1(t1, h2, t2, [], fun, false) | acc], fun, false)
defp sort_merge([l], [], _fun, _bool), do: l
defp sort_merge([l], acc, fun, bool), do:
reverse_sort_merge([:lists.reverse(l, []) | acc], [], fun, bool)
defp sort_merge([], acc, fun, bool), do:
reverse_sort_merge(acc, [], fun, bool)
defp reverse_sort_merge([[h2 | t2], t1 | l], acc, fun, true), do:
reverse_sort_merge(l, [sort_merge1(t1, h2, t2, [], fun, true) | acc], fun, true)
defp reverse_sort_merge([t1, [h2 | t2] | l], acc, fun, false), do:
reverse_sort_merge(l, [sort_merge1(t1, h2, t2, [], fun, true) | acc], fun, false)
defp reverse_sort_merge([l], acc, fun, bool), do:
sort_merge([:lists.reverse(l, []) | acc], [], fun, bool)
defp reverse_sort_merge([], acc, fun, bool), do:
sort_merge(acc, [], fun, bool)
defp sort_merge1([h1 | t1], h2, t2, m, fun, bool) do
if fun.(h1, h2) == bool do
sort_merge2(h1, t1, t2, [h2 | m], fun, bool)
else
sort_merge1(t1, h2, t2, [h1 | m], fun, bool)
end
end
defp sort_merge1([], h2, t2, m, _fun, _bool), do:
:lists.reverse(t2, [h2 | m])
defp sort_merge2(h1, t1, [h2 | t2], m, fun, bool) do
if fun.(h1, h2) == bool do
sort_merge2(h1, t1, t2, [h2 | m], fun, bool)
else
sort_merge1(t1, h2, t2, [h1 | m], fun, bool)
end
end
defp sort_merge2(h1, t1, [], m, _fun, _bool), do:
:lists.reverse(t1, [h1 | m])
## split
defp do_split([h | t], counter, acc) when counter > 0 do
do_split(t, counter - 1, [h | acc])
end
defp do_split(list, 0, acc) do
{:lists.reverse(acc), list}
end
defp do_split([], _, acc) do
{:lists.reverse(acc), []}
end
defp do_split_reverse([h | t], counter, acc) when counter > 0 do
do_split_reverse(t, counter - 1, [h | acc])
end
defp do_split_reverse(list, 0, acc) do
{:lists.reverse(list), acc}
end
defp do_split_reverse([], _, acc) do
{[], acc}
end
## split_while
defp do_split_while([h | t], fun, acc) do
if fun.(h) do
do_split_while(t, fun, [h | acc])
else
{:lists.reverse(acc), [h | t]}
end
end
defp do_split_while([], _, acc) do
{:lists.reverse(acc), []}
end
## take
defp do_take([h | t], counter, acc) when counter > 0 do
do_take(t, counter - 1, [h | acc])
end
defp do_take(_list, 0, acc) do
:lists.reverse(acc)
end
defp do_take([], _, acc) do
:lists.reverse(acc)
end
## take_while
defp do_take_while([h | t], fun, acc) do
if fun.(h) do
do_take_while(t, fun, [h | acc])
else
:lists.reverse(acc)
end
end
defp do_take_while([], _, acc) do
:lists.reverse(acc)
end
## uniq
defp do_uniq([h | t], set, fun, acc) do
value = fun.(h)
case set do
%{^value => true} -> do_uniq(t, set, fun, acc)
%{} -> do_uniq(t, Map.put(set, value, true), fun, [h | acc])
end
end
defp do_uniq([], _set, _fun, acc) do
:lists.reverse(acc)
end
## zip
defp do_zip([h1 | next1], [h2 | next2], acc) do
do_zip(next1, next2, [{h1, h2} | acc])
end
defp do_zip(_, [], acc), do: :lists.reverse(acc)
defp do_zip([], _, acc), do: :lists.reverse(acc)
end
defimpl Enumerable, for: List do
def count(_list),
do: {:error, __MODULE__}
def member?(_list, _value),
do: {:error, __MODULE__}
def reduce(_, {:halt, acc}, _fun), do: {:halted, acc}
def reduce(list, {:suspend, acc}, fun), do: {:suspended, acc, &reduce(list, &1, fun)}
def reduce([], {:cont, acc}, _fun), do: {:done, acc}
def reduce([h | t], {:cont, acc}, fun), do: reduce(t, fun.(h, acc), fun)
end
defimpl Enumerable, for: Map do
def count(map) do
{:ok, map_size(map)}
end
def member?(map, {key, value}) do
{:ok, match?({:ok, ^value}, :maps.find(key, map))}
end
def member?(_map, _other) do
{:ok, false}
end
def reduce(map, acc, fun) do
do_reduce(:maps.to_list(map), acc, fun)
end
defp do_reduce(_, {:halt, acc}, _fun), do: {:halted, acc}
defp do_reduce(list, {:suspend, acc}, fun), do: {:suspended, acc, &do_reduce(list, &1, fun)}
defp do_reduce([], {:cont, acc}, _fun), do: {:done, acc}
defp do_reduce([h | t], {:cont, acc}, fun), do: do_reduce(t, fun.(h, acc), fun)
end
defimpl Enumerable, for: Function do
def count(_function),
do: {:error, __MODULE__}
def member?(_function, _value),
do: {:error, __MODULE__}
def reduce(function, acc, fun) when is_function(function, 2),
do: function.(acc, fun)
end