別のキーワード
モジュール
- Enumerable (48)
キーワード
- advise (12)
-
max
_ by (48) - normalize (12)
-
ruby2
_ keywords (18) -
unicode
_ normalize (11) -
unicode
_ normalize! (11) -
unicode
_ normalized? (11)
検索結果
先頭5件
-
Module
# ruby2 _ keywords(method _ name , . . . ) -> nil (6164.0) -
For the given method names, marks the method as passing keywords through a normal argument splat. This should only be called on methods that accept an argument splat (`*args`) but not explicit keywords or a keyword splat. It marks the method such that if the method is called with keyword arguments, the final hash argument is marked with a special flag such that if it is the final element of a normal argument splat to another method call, and that method call does not include explicit keywords or a keyword splat, the final element is interpreted as keywords. In other words, keywords will be passed through the method to other methods.
...For the given method names, marks the method as passing keywords through
a normal argument splat. This should only be called on methods that
accept an argument splat (`*args`) but not explicit keywords or a
keyword splat. It marks the method such that if the method is called
with keyword argument......s, the final hash argument is marked with a special
flag such that if it is the final element of a normal argument splat to
another method call, and that method call does not include explicit
keywords or a keyword splat, the final element is interpreted as
keywords. In other words, keywords will be......ate keywords to another
method, and only for backwards compatibility with Ruby versions before
2.7.
This method will probably be removed at some point, as it exists only
for backwards compatibility. As it does not exist in Ruby versions
before 2.7, check that the module responds to this method befo... -
Proc
# ruby2 _ keywords -> proc (6164.0) -
Marks the proc as passing keywords through a normal argument splat. This should only be called on procs that accept an argument splat (`*args`) but not explicit keywords or a keyword splat. It marks the proc such that if the proc is called with keyword arguments, the final hash argument is marked with a special flag such that if it is the final element of a normal argument splat to another method call, and that method call does not include explicit keywords or a keyword splat, the final element is interpreted as keywords. In other words, keywords will be passed through the proc to other methods.
...Marks the proc as passing keywords through a normal argument splat. This
should only be called on procs that accept an argument splat (`*args`)
but not explicit keywords or a keyword splat. It marks the proc such
that if the proc is called with keyword arguments, the final hash
argument is marked......with a special flag such that if it is the final
element of a normal argument splat to another method call, and that
method call does not include explicit keywords or a keyword splat, the
final element is interpreted as keywords. In other words, keywords will
be passed through the proc to other met......ate keywords to another
method, and only for backwards compatibility with Ruby versions before
2.7.
This method will probably be removed at some point, as it exists only
for backwards compatibility. As it does not exist in Ruby versions
before 2.7, check that the proc responds to this method before... -
String
# unicode _ normalize!(form = :nfc) -> self (6107.0) -
self を NFC、NFD、NFKC、NFKD のいずれかの正規化形式で Unicode 正規化し た文字列に置き換えます。
...に発生します。
//emlist[例][ruby]{
text = "a\u0300"
text.unicode_normalize!(:nfc)
text == "\u00E0" # => true
text.unicode_normalize!(:nfd)
text == "a\u0300" # => true
//}
@see String#unicode_normalize, String#unicode_normalized?... -
String
# unicode _ normalize(form = :nfc) -> String (6107.0) -
self を NFC、NFD、NFKC、NFKD のいずれかの正規化形式で Unicode 正規化し た文字列を返します。
...す。
//emlist[例][ruby]{
"a\u0300".unicode_normalize # => 'à' ("\u00E0" と同じ)
"a\u0300".unicode_normalize(:nfc) # => 'à' ("\u00E0" と同じ)
"\u00E0".unicode_normalize(:nfd) # => 'à' ("a\u0300" と同じ)
"\xE0".force_encoding('ISO-8859-1').unicode_normalize(:nfd)......# => Encoding::CompatibilityError raised
//}
@see String#unicode_normalize!, String#unicode_normalized?... -
String
# unicode _ normalized?(form = :nfc) -> bool (6107.0) -
self が引数 form で指定された正規化形式で Unicode 正規化された文字列か どうかを返します。
...ます。
//emlist[例][ruby]{
"a\u0300".unicode_normalized? # => false
"a\u0300".unicode_normalized?(:nfd) # => true
"\u00E0".unicode_normalized? # => true
"\u00E0".unicode_normalized?(:nfd) # => false
"\xE0".force_encoding('ISO-8859-1').unicode_normalized?......# => Encoding::CompatibilityError raised
//}
@see String#unicode_normalize, String#unicode_normalize!... -
Vector
# normalize -> Vector (6107.0) -
自身を Vector#norm で正規化したベクトルを返します。
...たベクトルを返します。
@raise Vector::ZeroVectorError ベクトルが0である場合に発生します。
//emlist[例][ruby]{
require 'matrix'
v = Vector[2, 6, 9].normalize
# => Vector[0.18181818181818182, 0.5454545454545454, 0.8181818181818182]
v.norm # => 1.0
//}
@see Vector#norm... -
Enumerable
# max _ by -> Enumerator (25.0) -
各要素を順番にブロックに渡して実行し、 その評価結果を <=> で比較して、 最大であった値に対応する元の要素、もしくは最大の n 要素が降順で入った配列を返します。
...。
@param n 取得する要素数。
//emlist[例][ruby]{
a = %w(albatross dog horse)
a.max_by # => #<Enumerator: ["albatross", "dog", "horse"]:max_by>
a.max_by { |x| x.length } # => "albatross"
//}
//emlist[例][ruby]{
a = %w[albatross dog horse]
a.max_by(2)......み付きランダムサンプリングを実装するために使用できます。次の実装例は、Enumerable#wsampleを使用します。][ruby]{
module Enumerable
# weighted random sampling.
#
# Pavlos S. Efraimidis, Paul G. Spirakis
# Weighted random sampling with a reservoir
# In......wsample(n)
self.max_by(n) {|v| rand ** (1.0/yield(v)) }
end
end
e = (-20..20).to_a*10000
a = e.wsample(20000) {|x|
Math.exp(-(x/5.0)**2) # normal distribution
}
# a is 20000 samples from e.
p a.length #=> 20000
h = a.group_by {|x| x }
-10.upto(10) {|x| puts "*" * (h[x].length/30.0).to_i if... -
Enumerable
# max _ by {|item| . . . } -> object | nil (25.0) -
各要素を順番にブロックに渡して実行し、 その評価結果を <=> で比較して、 最大であった値に対応する元の要素、もしくは最大の n 要素が降順で入った配列を返します。
...。
@param n 取得する要素数。
//emlist[例][ruby]{
a = %w(albatross dog horse)
a.max_by # => #<Enumerator: ["albatross", "dog", "horse"]:max_by>
a.max_by { |x| x.length } # => "albatross"
//}
//emlist[例][ruby]{
a = %w[albatross dog horse]
a.max_by(2)......み付きランダムサンプリングを実装するために使用できます。次の実装例は、Enumerable#wsampleを使用します。][ruby]{
module Enumerable
# weighted random sampling.
#
# Pavlos S. Efraimidis, Paul G. Spirakis
# Weighted random sampling with a reservoir
# In......wsample(n)
self.max_by(n) {|v| rand ** (1.0/yield(v)) }
end
end
e = (-20..20).to_a*10000
a = e.wsample(20000) {|x|
Math.exp(-(x/5.0)**2) # normal distribution
}
# a is 20000 samples from e.
p a.length #=> 20000
h = a.group_by {|x| x }
-10.upto(10) {|x| puts "*" * (h[x].length/30.0).to_i if... -
Enumerable
# max _ by(n) -> Enumerator (25.0) -
各要素を順番にブロックに渡して実行し、 その評価結果を <=> で比較して、 最大であった値に対応する元の要素、もしくは最大の n 要素が降順で入った配列を返します。
...。
@param n 取得する要素数。
//emlist[例][ruby]{
a = %w(albatross dog horse)
a.max_by # => #<Enumerator: ["albatross", "dog", "horse"]:max_by>
a.max_by { |x| x.length } # => "albatross"
//}
//emlist[例][ruby]{
a = %w[albatross dog horse]
a.max_by(2)......み付きランダムサンプリングを実装するために使用できます。次の実装例は、Enumerable#wsampleを使用します。][ruby]{
module Enumerable
# weighted random sampling.
#
# Pavlos S. Efraimidis, Paul G. Spirakis
# Weighted random sampling with a reservoir
# In......wsample(n)
self.max_by(n) {|v| rand ** (1.0/yield(v)) }
end
end
e = (-20..20).to_a*10000
a = e.wsample(20000) {|x|
Math.exp(-(x/5.0)**2) # normal distribution
}
# a is 20000 samples from e.
p a.length #=> 20000
h = a.group_by {|x| x }
-10.upto(10) {|x| puts "*" * (h[x].length/30.0).to_i if... -
Enumerable
# max _ by(n) {|item| . . . } -> Array (25.0) -
各要素を順番にブロックに渡して実行し、 その評価結果を <=> で比較して、 最大であった値に対応する元の要素、もしくは最大の n 要素が降順で入った配列を返します。
...。
@param n 取得する要素数。
//emlist[例][ruby]{
a = %w(albatross dog horse)
a.max_by # => #<Enumerator: ["albatross", "dog", "horse"]:max_by>
a.max_by { |x| x.length } # => "albatross"
//}
//emlist[例][ruby]{
a = %w[albatross dog horse]
a.max_by(2)......み付きランダムサンプリングを実装するために使用できます。次の実装例は、Enumerable#wsampleを使用します。][ruby]{
module Enumerable
# weighted random sampling.
#
# Pavlos S. Efraimidis, Paul G. Spirakis
# Weighted random sampling with a reservoir
# In......wsample(n)
self.max_by(n) {|v| rand ** (1.0/yield(v)) }
end
end
e = (-20..20).to_a*10000
a = e.wsample(20000) {|x|
Math.exp(-(x/5.0)**2) # normal distribution
}
# a is 20000 samples from e.
p a.length #=> 20000
h = a.group_by {|x| x }
-10.upto(10) {|x| puts "*" * (h[x].length/30.0).to_i if...