summaryrefslogtreecommitdiffstats
diff options
context:
space:
mode:
authorRemi Collet <remi@remirepo.net>2021-02-15 11:05:25 +0100
committerRemi Collet <remi@remirepo.net>2021-02-15 11:05:25 +0100
commit33dfc42aa6cacbbb339960b306f98922077d313a (patch)
treeea51770bb9178240d7313452371547cf5fa1eb1a
initial package
open https://github.com/RubixML/Tensor/pull/11 check for openblas headers open https://github.com/RubixML/Tensor/issues/12 PHP 8 compatibility
-rw-r--r--.gitignore9
-rw-r--r--Makefile4
-rw-r--r--PHPINFO10
-rw-r--r--REFLECTION4042
-rw-r--r--php-pecl-tensor.spec211
-rw-r--r--tensor-headers.patch39
-rw-r--r--tensor-libs.patch15
7 files changed, 4330 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..01f0400
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,9 @@
+clog
+package-*.xml
+*.tgz
+*.tar.bz2
+*.tar.gz
+*.tar.xz
+*.tar.xz.asc
+*.src.rpm
+*/*rpm
diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..13af741
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,4 @@
+SRCDIR := $(shell pwd)
+NAME := $(shell basename $(SRCDIR))
+include ../../../common/Makefile
+
diff --git a/PHPINFO b/PHPINFO
new file mode 100644
index 0000000..1b25119
--- /dev/null
+++ b/PHPINFO
@@ -0,0 +1,10 @@
+
+tensor
+
+
+Tensor is a library and extension that provides objects for scientific computing in PHP.
+tensor => enabled
+Author => Andrew DalPino
+Version => 2.1.3
+Build Date => Feb 15 2021 00:00:00
+Powered by Zephir => Version 0.12.20-$Id$
diff --git a/REFLECTION b/REFLECTION
new file mode 100644
index 0000000..9f7ed85
--- /dev/null
+++ b/REFLECTION
@@ -0,0 +1,4042 @@
+Extension [ <persistent> extension #105 tensor version 2.1.3 ] {
+
+ - Dependencies {
+ }
+
+ - Classes [15] {
+ Interface [ <internal:tensor> interface Tensor\Arithmetic ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [0] {
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [6] {
+ Method [ <internal:tensor> abstract public method multiply ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method divide ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method add ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method subtract ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method pow ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method mod ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+ }
+ }
+
+ Interface [ <internal:tensor> interface Tensor\ArrayLike extends ArrayAccess, IteratorAggregate, Traversable, Countable ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [0] {
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [9] {
+ Method [ <internal:tensor> abstract public method shape ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor> abstract public method size ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> abstract public method asArray ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetExists ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $offset ]
+ }
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetGet ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $offset ]
+ }
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetSet ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $offset ]
+ Parameter #1 [ <required> $value ]
+ }
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetUnset ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $offset ]
+ }
+ }
+
+ Method [ <internal:Core, inherits IteratorAggregate> abstract public method getIterator ] {
+ }
+
+ Method [ <internal:Core, inherits Countable> abstract public method count ] {
+
+ - Parameters [0] {
+ }
+ }
+ }
+ }
+
+ Interface [ <internal:tensor> interface Tensor\Comparable ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [0] {
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [6] {
+ Method [ <internal:tensor> abstract public method equal ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method notEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method greater ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method greaterEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method less ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method lessEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+ }
+ }
+
+ Interface [ <internal:tensor> interface Tensor\Functional ] {
+
+ - Constants [1] {
+ Constant [ public float M_E ] { 2.718281828459 }
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [0] {
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [16] {
+ Method [ <internal:tensor> abstract public method abs ] {
+ }
+
+ Method [ <internal:tensor> abstract public method square ] {
+ }
+
+ Method [ <internal:tensor> abstract public method sqrt ] {
+ }
+
+ Method [ <internal:tensor> abstract public method exp ] {
+ }
+
+ Method [ <internal:tensor> abstract public method expm1 ] {
+ }
+
+ Method [ <internal:tensor> abstract public method log ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> float $base ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method log1p ] {
+ }
+
+ Method [ <internal:tensor> abstract public method sum ] {
+ }
+
+ Method [ <internal:tensor> abstract public method product ] {
+ }
+
+ Method [ <internal:tensor> abstract public method min ] {
+ }
+
+ Method [ <internal:tensor> abstract public method max ] {
+ }
+
+ Method [ <internal:tensor> abstract public method round ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> int $precision ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method floor ] {
+ }
+
+ Method [ <internal:tensor> abstract public method ceil ] {
+ }
+
+ Method [ <internal:tensor> abstract public method sign ] {
+ }
+
+ Method [ <internal:tensor> abstract public method negate ] {
+ }
+ }
+ }
+
+ Interface [ <internal:tensor> interface Tensor\Statistical ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [0] {
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [4] {
+ Method [ <internal:tensor> abstract public method mean ] {
+ }
+
+ Method [ <internal:tensor> abstract public method variance ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> $mean ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method median ] {
+ }
+
+ Method [ <internal:tensor> abstract public method quantile ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $q ]
+ }
+ }
+ }
+ }
+
+ Interface [ <internal:tensor> interface Tensor\Trigonometric ] {
+
+ - Constants [2] {
+ Constant [ public float M_PI ] { 3.1415926535898 }
+ Constant [ public float TWO_PI ] { 6.28318530718 }
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [0] {
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [8] {
+ Method [ <internal:tensor> abstract public method sin ] {
+ }
+
+ Method [ <internal:tensor> abstract public method asin ] {
+ }
+
+ Method [ <internal:tensor> abstract public method cos ] {
+ }
+
+ Method [ <internal:tensor> abstract public method acos ] {
+ }
+
+ Method [ <internal:tensor> abstract public method tan ] {
+ }
+
+ Method [ <internal:tensor> abstract public method atan ] {
+ }
+
+ Method [ <internal:tensor> abstract public method rad2deg ] {
+ }
+
+ Method [ <internal:tensor> abstract public method deg2rad ] {
+ }
+ }
+ }
+
+ Interface [ <internal:tensor> interface Tensor\Tensor extends Tensor\ArrayLike, Countable, Traversable, IteratorAggregate, ArrayAccess, Tensor\Arithmetic, Tensor\Comparable, Tensor\Functional, Tensor\Trigonometric, Tensor\Statistical ] {
+
+ - Constants [4] {
+ Constant [ public float EPSILON ] { 1.0E-8 }
+ Constant [ public float M_E ] { 2.718281828459 }
+ Constant [ public float M_PI ] { 3.1415926535898 }
+ Constant [ public float TWO_PI ] { 6.28318530718 }
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [0] {
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [57] {
+ Method [ <internal:tensor> abstract public method map ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $callback ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method reduce ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $callback ]
+ Parameter #1 [ <optional> $initial ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method transpose ] {
+ }
+
+ Method [ <internal:tensor> abstract public method clip ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> float $min ]
+ Parameter #1 [ <required> float $max ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method clipLower ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $min ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method clipUpper ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $max ]
+ }
+ }
+
+ Method [ <internal:tensor> abstract public method shapeString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+
+ Method [ <internal:tensor> abstract public method __toString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\ArrayLike> abstract public method shape ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\ArrayLike> abstract public method size ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\ArrayLike> abstract public method asArray ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetExists ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $offset ]
+ }
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetGet ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $offset ]
+ }
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetSet ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $offset ]
+ Parameter #1 [ <required> $value ]
+ }
+ }
+
+ Method [ <internal:Core, inherits ArrayAccess> abstract public method offsetUnset ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $offset ]
+ }
+ }
+
+ Method [ <internal:Core, inherits IteratorAggregate> abstract public method getIterator ] {
+ }
+
+ Method [ <internal:Core, inherits Countable> abstract public method count ] {
+
+ - Parameters [0] {
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Arithmetic> abstract public method multiply ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Arithmetic> abstract public method divide ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Arithmetic> abstract public method add ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Arithmetic> abstract public method subtract ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Arithmetic> abstract public method pow ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Arithmetic> abstract public method mod ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Comparable> abstract public method equal ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Comparable> abstract public method notEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Comparable> abstract public method greater ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Comparable> abstract public method greaterEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Comparable> abstract public method less ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Comparable> abstract public method lessEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method abs ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method square ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method sqrt ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method exp ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method expm1 ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method log ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> float $base ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method log1p ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method sum ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method product ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method min ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method max ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method round ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> int $precision ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method floor ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method ceil ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method sign ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Functional> abstract public method negate ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method sin ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method asin ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method cos ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method acos ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method tan ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method atan ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method rad2deg ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Trigonometric> abstract public method deg2rad ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Statistical> abstract public method mean ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Statistical> abstract public method variance ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> $mean ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Statistical> abstract public method median ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Statistical> abstract public method quantile ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $q ]
+ }
+ }
+ }
+ }
+
+ Class [ <internal:tensor> <iterateable> class Tensor\Vector implements Tensor\Tensor, Tensor\Statistical, Tensor\Trigonometric, Tensor\Functional, Tensor\Comparable, Tensor\Arithmetic, ArrayAccess, IteratorAggregate, Traversable, Countable, Tensor\ArrayLike ] {
+
+ - Constants [4] {
+ Constant [ public float EPSILON ] { 1.0E-8 }
+ Constant [ public float M_E ] { 2.718281828459 }
+ Constant [ public float M_PI ] { 3.1415926535898 }
+ Constant [ public float TWO_PI ] { 6.28318530718 }
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [13] {
+ Method [ <internal:tensor> static public method build ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> array $a ]
+ }
+ }
+
+ Method [ <internal:tensor> static public method quick ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> array $a ]
+ }
+ }
+
+ Method [ <internal:tensor> static public method zeros ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method ones ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method fill ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $value ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method rand ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method gaussian ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method poisson ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $n ]
+ Parameter #1 [ <optional> float $lambda ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method uniform ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method range ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> $start ]
+ Parameter #1 [ <required> $end ]
+ Parameter #2 [ <optional> $interval ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method linspace ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> float $min ]
+ Parameter #1 [ <required> float $max ]
+ Parameter #2 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method maximum ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Vector $a ]
+ Parameter #1 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> static public method minimum ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Vector $a ]
+ Parameter #1 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+ }
+
+ - Properties [2] {
+ Property [ <default> protected $a ]
+ Property [ <default> protected $n ]
+ }
+
+ - Methods [113] {
+ Method [ <internal:tensor, ctor> public method __construct ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> array $a ]
+ Parameter #1 [ <optional> bool $validate ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\ArrayLike> public method shape ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method shapeString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\ArrayLike> public method size ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> public method m ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> public method n ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\ArrayLike> public method asArray ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor> public method asRowMatrix ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method asColumnMatrix ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method reshape ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method transpose ] {
+ }
+
+ Method [ <internal:tensor> public method argmin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> public method argmax ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method map ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $callback ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method reduce ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $callback ]
+ Parameter #1 [ <optional> $initial ]
+ }
+ }
+
+ Method [ <internal:tensor> public method dot ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ float ]
+ }
+
+ Method [ <internal:tensor> public method convolve ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ Parameter #1 [ <optional> int $stride ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method matmul ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method inner ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ }
+
+ Method [ <internal:tensor> public method outer ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method cross ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method project ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method l1Norm ] {
+ }
+
+ Method [ <internal:tensor> public method l2Norm ] {
+ }
+
+ Method [ <internal:tensor> public method pNorm ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> float $p ]
+ }
+ }
+
+ Method [ <internal:tensor> public method maxNorm ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method multiply ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method divide ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method add ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method subtract ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method pow ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method mod ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method equal ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method notEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method greater ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method greaterEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method less ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method lessEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> public method reciprocal ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method abs ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method square ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method sqrt ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method exp ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method expm1 ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method log ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> float $base ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method log1p ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method sin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method asin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method cos ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method acos ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method tan ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method atan ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method rad2deg ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method deg2rad ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method sum ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method product ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method min ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method max ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method mean ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method median ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method quantile ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $q ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method variance ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> $mean ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method round ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> int $precision ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method floor ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method ceil ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method clip ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> float $min ]
+ Parameter #1 [ <required> float $max ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method clipLower ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $min ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method clipUpper ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $max ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method sign ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method negate ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method multiplyMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method divideMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method addMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method subtractMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method powMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method modMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method equalMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method notEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method multiplyVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method divideVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method addVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method subtractVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method powVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method modVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method equalVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method notEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method greaterVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method greaterEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method lessVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method lessEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method multiplyScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method divideScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method addScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method subtractScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method powScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method modScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method equalScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method notEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method greaterScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method greaterEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method lessScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method lessEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Countable> public method count ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetSet ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $index ]
+ Parameter #1 [ <required> $values ]
+ }
+ - Return [ void ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetExists ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetUnset ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ - Return [ void ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetGet ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype IteratorAggregate> public method getIterator ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method __toString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+ }
+ }
+
+ Class [ <internal:tensor> <iterateable> class Tensor\ColumnVector extends Tensor\Vector implements Tensor\ArrayLike, Countable, Traversable, IteratorAggregate, ArrayAccess, Tensor\Arithmetic, Tensor\Comparable, Tensor\Functional, Tensor\Trigonometric, Tensor\Statistical, Tensor\Tensor ] {
+
+ - Constants [4] {
+ Constant [ public float EPSILON ] { 1.0E-8 }
+ Constant [ public float M_E ] { 2.718281828459 }
+ Constant [ public float M_PI ] { 3.1415926535898 }
+ Constant [ public float TWO_PI ] { 6.28318530718 }
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [13] {
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> static public method build ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> array $a ]
+ }
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> static public method quick ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> array $a ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method zeros ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method ones ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method fill ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $value ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method rand ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method gaussian ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method poisson ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $n ]
+ Parameter #1 [ <optional> float $lambda ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method uniform ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method range ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> $start ]
+ Parameter #1 [ <required> $end ]
+ Parameter #2 [ <optional> $interval ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method linspace ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> float $min ]
+ Parameter #1 [ <required> float $max ]
+ Parameter #2 [ <required> int $n ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method maximum ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Vector $a ]
+ Parameter #1 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> static public method minimum ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Vector $a ]
+ Parameter #1 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+ }
+
+ - Properties [2] {
+ Property [ <default> protected $a ]
+ Property [ <default> protected $n ]
+ }
+
+ - Methods [113] {
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method m ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method n ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Tensor> public method transpose ] {
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method matmul ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method multiplyMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method divideMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method addMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method subtractMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method powMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method modMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method equalMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method notEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method greaterMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method greaterEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method lessMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, overwrites Tensor\Vector, prototype Tensor\Vector> public method lessEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, ctor> public method __construct ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> array $a ]
+ Parameter #1 [ <optional> bool $validate ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\ArrayLike> public method shape ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Tensor> public method shapeString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\ArrayLike> public method size ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\ArrayLike> public method asArray ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method asRowMatrix ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method asColumnMatrix ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method reshape ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method argmin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method argmax ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Tensor> public method map ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $callback ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Tensor> public method reduce ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $callback ]
+ Parameter #1 [ <optional> $initial ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method dot ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ float ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method convolve ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ Parameter #1 [ <optional> int $stride ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method inner ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method outer ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method cross ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method project ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method l1Norm ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method l2Norm ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method pNorm ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> float $p ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method maxNorm ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Arithmetic> public method multiply ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Arithmetic> public method divide ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Arithmetic> public method add ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Arithmetic> public method subtract ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Arithmetic> public method pow ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Arithmetic> public method mod ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Comparable> public method equal ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Comparable> public method notEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Comparable> public method greater ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Comparable> public method greaterEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Comparable> public method less ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Comparable> public method lessEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method reciprocal ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method abs ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method square ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method sqrt ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method exp ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method expm1 ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method log ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> float $base ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method log1p ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method sin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method asin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method cos ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method acos ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method tan ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method atan ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method rad2deg ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Trigonometric> public method deg2rad ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method sum ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method product ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method min ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method max ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Statistical> public method mean ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Statistical> public method median ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Statistical> public method quantile ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $q ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Statistical> public method variance ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> $mean ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method round ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> int $precision ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method floor ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method ceil ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Tensor> public method clip ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> float $min ]
+ Parameter #1 [ <required> float $max ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Tensor> public method clipLower ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $min ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Tensor> public method clipUpper ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $max ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method sign ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Functional> public method negate ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method multiplyVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method divideVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method addVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method subtractVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method powVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method modVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method equalVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method notEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method greaterVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method greaterEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method lessVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method lessEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method multiplyScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method divideScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method addScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method subtractScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method powScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method modScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method equalScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method notEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method greaterScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method greaterEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method lessScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector> public method lessEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Countable> public method count ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype ArrayAccess> public method offsetSet ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $index ]
+ Parameter #1 [ <required> $values ]
+ }
+ - Return [ void ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype ArrayAccess> public method offsetExists ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype ArrayAccess> public method offsetUnset ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ - Return [ void ]
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype ArrayAccess> public method offsetGet ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype IteratorAggregate> public method getIterator ] {
+ }
+
+ Method [ <internal:tensor, inherits Tensor\Vector, prototype Tensor\Tensor> public method __toString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+ }
+ }
+
+ Class [ <internal:tensor> class Tensor\Decompositions\Cholesky ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [1] {
+ Method [ <internal:tensor> static public method decompose ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ }
+ - Return [ Tensor\Decompositions\Cholesky ]
+ }
+ }
+
+ - Properties [1] {
+ Property [ <default> protected $l ]
+ }
+
+ - Methods [3] {
+ Method [ <internal:tensor, ctor> public method __construct ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $l ]
+ }
+ }
+
+ Method [ <internal:tensor> public method l ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lT ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+ }
+ }
+
+ Class [ <internal:tensor> class Tensor\Decompositions\Lu ] {
+
+ - Constants [1] {
+ Constant [ public float EPSILON ] { 1.0E-8 }
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [1] {
+ Method [ <internal:tensor> static public method decompose ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ }
+ - Return [ Tensor\Decompositions\Lu ]
+ }
+ }
+
+ - Properties [3] {
+ Property [ <default> protected $l ]
+ Property [ <default> protected $u ]
+ Property [ <default> protected $p ]
+ }
+
+ - Methods [4] {
+ Method [ <internal:tensor, ctor> public method __construct ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> Tensor\Matrix $l ]
+ Parameter #1 [ <required> Tensor\Matrix $u ]
+ Parameter #2 [ <required> Tensor\Matrix $p ]
+ }
+ }
+
+ Method [ <internal:tensor> public method l ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method u ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method p ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+ }
+ }
+
+ Class [ <internal:tensor> <iterateable> class Tensor\Matrix implements Tensor\Tensor, Tensor\Statistical, Tensor\Trigonometric, Tensor\Functional, Tensor\Comparable, Tensor\Arithmetic, ArrayAccess, IteratorAggregate, Traversable, Countable, Tensor\ArrayLike ] {
+
+ - Constants [4] {
+ Constant [ public float EPSILON ] { 1.0E-8 }
+ Constant [ public float M_E ] { 2.718281828459 }
+ Constant [ public float M_PI ] { 3.1415926535898 }
+ Constant [ public float TWO_PI ] { 6.28318530718 }
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [15] {
+ Method [ <internal:tensor> static public method build ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> array $a ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method quick ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> array $a ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method identity ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method zeros ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method ones ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method diagonal ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> array $elements ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method fill ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> $value ]
+ Parameter #1 [ <required> int $m ]
+ Parameter #2 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method rand ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method gaussian ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method poisson ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ Parameter #2 [ <optional> float $lambda ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method uniform ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method minimum ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ Parameter #1 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method maximum ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ Parameter #1 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static public method stack ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> array $vectors ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> static protected method implodeRow ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> string $carry ]
+ Parameter #1 [ <required> array $row ]
+ }
+ - Return [ string ]
+ }
+ }
+
+ - Properties [3] {
+ Property [ <default> protected $a ]
+ Property [ <default> protected $m ]
+ Property [ <default> protected $n ]
+ }
+
+ - Methods [148] {
+ Method [ <internal:tensor, ctor> public method __construct ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> array $a ]
+ Parameter #1 [ <optional> bool $validate ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\ArrayLike> public method shape ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method shapeString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+
+ Method [ <internal:tensor> public method isSquare ] {
+
+ - Parameters [0] {
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\ArrayLike> public method size ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> public method m ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> public method n ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> public method row ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $index ]
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor> public method rowAsVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $index ]
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method column ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $index ]
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor> public method columnAsVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $index ]
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor> public method diagonalAsVector ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\ArrayLike> public method asArray ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor> public method asVectors ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor> public method asColumnVectors ] {
+
+ - Parameters [0] {
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor> public method flatten ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Vector ]
+ }
+
+ Method [ <internal:tensor> public method argmin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor> public method argmax ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method map ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $callback ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method reduce ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $callback ]
+ Parameter #1 [ <optional> $initial ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method transpose ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method inverse ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method det ] {
+ }
+
+ Method [ <internal:tensor> public method rank ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor> public method fullRank ] {
+
+ - Parameters [0] {
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor> public method symmetric ] {
+
+ - Parameters [0] {
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor> public method positiveDefinite ] {
+
+ - Parameters [0] {
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor> public method positiveSemidefinite ] {
+
+ - Parameters [0] {
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor> public method matmul ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method dot ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor> public method convolve ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ Parameter #1 [ <optional> int $stride ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method ref ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Reductions\Ref ]
+ }
+
+ Method [ <internal:tensor> public method rref ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Reductions\Rref ]
+ }
+
+ Method [ <internal:tensor> public method lu ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Decompositions\Lu ]
+ }
+
+ Method [ <internal:tensor> public method cholesky ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Decompositions\Cholesky ]
+ }
+
+ Method [ <internal:tensor> public method eig ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> bool $normalize ]
+ }
+ - Return [ Tensor\Eigen ]
+ }
+
+ Method [ <internal:tensor> public method solve ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor> public method l1Norm ] {
+ }
+
+ Method [ <internal:tensor> public method l2Norm ] {
+ }
+
+ Method [ <internal:tensor> public method infinityNorm ] {
+ }
+
+ Method [ <internal:tensor> public method maxNorm ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method multiply ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method divide ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method add ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method subtract ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method pow ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Arithmetic> public method mod ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method equal ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method notEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method greater ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method greaterEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method less ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Comparable> public method lessEqual ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ }
+
+ Method [ <internal:tensor> public method reciprocal ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method abs ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method square ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method sqrt ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method exp ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method expm1 ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method log ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> float $base ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method log1p ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method sin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method asin ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method cos ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method acos ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method tan ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method atan ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method rad2deg ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Trigonometric> public method deg2rad ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method sum ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method product ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method min ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method max ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method mean ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method median ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method quantile ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $q ]
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Statistical> public method variance ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> $mean ]
+ }
+ - Return [ Tensor\ColumnVector ]
+ }
+
+ Method [ <internal:tensor> public method covariance ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> Tensor\ColumnVector or NULL $mean ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method round ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <optional> int $precision ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method floor ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method ceil ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method clip ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> float $min ]
+ Parameter #1 [ <required> float $max ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method clipLower ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $min ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method clipUpper ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> float $max ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method sign ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Functional> public method negate ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method insert ] {
+
+ - Parameters [3] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ Parameter #1 [ <required> int $rowOffset ]
+ Parameter #2 [ <required> int $columnOffset ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method subMatrix ] {
+
+ - Parameters [4] {
+ Parameter #0 [ <required> int $startRow ]
+ Parameter #1 [ <required> int $startColumn ]
+ Parameter #2 [ <required> int $endRow ]
+ Parameter #3 [ <required> int $endColumn ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method augmentAbove ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method augmentBelow ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method augmentLeft ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method augmentRight ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method repeat ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> int $m ]
+ Parameter #1 [ <required> int $n ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method multiplyMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method divideMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method addMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method subtractMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method powMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method modMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method equalMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method notEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessEqualMatrix ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method multiplyVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method divideVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method addVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method subtractVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method powVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method modVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method equalVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method notEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessEqualVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Vector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method multiplyColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method divideColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method addColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method subtractColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method powColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method modColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method equalColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method notEqualColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterEqualColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessEqualColumnVector ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\ColumnVector $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method multiplyScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method divideScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method addScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method subtractScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method powScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method modScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method equalScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method notEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method greaterEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method lessEqualScalar ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $b ]
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor, prototype Countable> public method count ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetSet ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> $index ]
+ Parameter #1 [ <required> $values ]
+ }
+ - Return [ void ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetExists ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ - Return [ bool ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetUnset ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ - Return [ void ]
+ }
+
+ Method [ <internal:tensor, prototype ArrayAccess> public method offsetGet ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> $index ]
+ }
+ - Return [ array ]
+ }
+
+ Method [ <internal:tensor, prototype IteratorAggregate> public method getIterator ] {
+ }
+
+ Method [ <internal:tensor, prototype Tensor\Tensor> public method __toString ] {
+
+ - Parameters [0] {
+ }
+ - Return [ string ]
+ }
+ }
+ }
+
+ Class [ <internal:tensor> class Tensor\Reductions\Ref ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [3] {
+ Method [ <internal:tensor> static public method reduce ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ }
+ - Return [ Tensor\Reductions\Ref ]
+ }
+
+ Method [ <internal:tensor> static public method gaussianElimination ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ }
+ - Return [ Tensor\Reductions\Ref ]
+ }
+
+ Method [ <internal:tensor> static public method rowReductionMethod ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ }
+ - Return [ Tensor\Reductions\Ref ]
+ }
+ }
+
+ - Properties [2] {
+ Property [ <default> protected $a ]
+ Property [ <default> protected $swaps ]
+ }
+
+ - Methods [3] {
+ Method [ <internal:tensor, ctor> public method __construct ] {
+
+ - Parameters [2] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ Parameter #1 [ <required> int $swaps ]
+ }
+ }
+
+ Method [ <internal:tensor> public method a ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+
+ Method [ <internal:tensor> public method swaps ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+ }
+ }
+
+ Class [ <internal:tensor> class Tensor\Reductions\Rref ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [1] {
+ Method [ <internal:tensor> static public method reduce ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ }
+ - Return [ Tensor\Reductions\Rref ]
+ }
+ }
+
+ - Properties [1] {
+ Property [ <default> protected $a ]
+ }
+
+ - Methods [2] {
+ Method [ <internal:tensor, ctor> public method __construct ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> Tensor\Matrix $a ]
+ }
+ }
+
+ Method [ <internal:tensor> public method a ] {
+
+ - Parameters [0] {
+ }
+ - Return [ Tensor\Matrix ]
+ }
+ }
+ }
+
+ Class [ <internal:tensor> class Tensor\Settings ] {
+
+ - Constants [0] {
+ }
+
+ - Static properties [0] {
+ }
+
+ - Static methods [2] {
+ Method [ <internal:tensor> static public method setNumThreads ] {
+
+ - Parameters [1] {
+ Parameter #0 [ <required> int $threads ]
+ }
+ - Return [ void ]
+ }
+
+ Method [ <internal:tensor> static public method numThreads ] {
+
+ - Parameters [0] {
+ }
+ - Return [ int ]
+ }
+ }
+
+ - Properties [0] {
+ }
+
+ - Methods [0] {
+ }
+ }
+ }
+}
+
diff --git a/php-pecl-tensor.spec b/php-pecl-tensor.spec
new file mode 100644
index 0000000..e1740dd
--- /dev/null
+++ b/php-pecl-tensor.spec
@@ -0,0 +1,211 @@
+# remirepo spec file for php-pecl-tensor
+#
+# Copyright (c) 2020-2021 Remi Collet
+# License: CC-BY-SA
+# http://creativecommons.org/licenses/by-sa/4.0/
+#
+# Please, preserve the changelog entries
+#
+%if 0%{?scl:1}
+%global sub_prefix %{scl_prefix}
+%scl_package php-pecl-tensor
+%endif
+
+%global pecl_name tensor
+%global with_zts 0%{!?_without_zts:%{?__ztsphp:1}}
+# After 20-json
+%global ini_name 40-%{pecl_name}.ini
+
+%global upstream_version 2.1.03
+#global upstream_prever alpha2
+
+Summary: Objects for scientific computing in PHP
+Name: %{?sub_prefix}php-pecl-%{pecl_name}
+Version: %{upstream_version}%{?upstream_prever:~%{upstream_prever}}
+Release: 1%{?dist}%{!?scl:%{!?nophptag:%(%{__php} -r 'echo ".".PHP_MAJOR_VERSION.".".PHP_MINOR_VERSION;')}}
+License: BSD
+URL: https://pecl.php.net/package/%{pecl_name}
+Source0: https://pecl.php.net/get/%{pecl_name}-%{upstream_version}%{?upstream_prever}.tgz
+
+Patch0: tensor-headers.patch
+Patch1: tensor-libs.patch
+
+BuildRequires: make
+BuildRequires: %{?dtsprefix}gcc
+BuildRequires: %{?scl_prefix}php-devel >= 7.2
+BuildRequires: %{?scl_prefix}php-pear
+BuildRequires: %{?scl_prefix}php-json
+BuildRequires: openblas-devel
+
+Requires: %{?scl_prefix}php(zend-abi) = %{php_zend_api}
+Requires: %{?scl_prefix}php(api) = %{php_core_api}
+Requires: %{?scl_prefix}php-json%{?_isa}
+Requires: %{?scl_prefix}php-pdo%{?_isa}
+%{?_sclreq:Requires: %{?scl_prefix}runtime%{?_sclreq}%{?_isa}}
+
+Provides: %{?scl_prefix}php-%{pecl_name} = %{version}
+Provides: %{?scl_prefix}php-%{pecl_name}%{?_isa} = %{version}
+Provides: %{?scl_prefix}php-pecl(%{pecl_name}) = %{version}
+Provides: %{?scl_prefix}php-pecl(%{pecl_name})%{?_isa} = %{version}
+Provides: %{?scl_prefix}php-pecl-%{pecl_name} = %{version}-%{release}
+Provides: %{?scl_prefix}php-pecl-%{pecl_name}%{?_isa} = %{version}-%{release}
+
+%if "%{?packager}" == "Remi Collet" && 0%{!?scl:1} && 0%{?rhel}
+# Other third party repo stuff
+%if "%{php_version}" > "8.0"
+Obsoletes: php73-pecl-%{pecl_name} <= %{version}
+%endif
+%if "%{php_version}" > "8.0"
+Obsoletes: php74-pecl-%{pecl_name} <= %{version}
+%endif
+%if "%{php_version}" > "8.0"
+Obsoletes: php80-pecl-%{pecl_name} <= %{version}
+%endif
+%endif
+
+
+%description
+Tensor is a library and extension that provides objects for scientific
+computing in PHP.
+
+Package built for PHP %(%{__php} -r 'echo PHP_MAJOR_VERSION.".".PHP_MINOR_VERSION;')%{?scl: as Software Collection (%{scl} by %{?scl_vendor}%{!?scl_vendor:rh})}.
+
+
+%prep
+%setup -q -c
+
+# Don't install/register tests
+sed -e 's/role="test"/role="src"/' \
+ %{?_licensedir:-e '/LICENSE/s/role="doc"/role="src"/' } \
+ -i package.xml
+
+mv %{pecl_name}-%{upstream_version}%{?upstream_prever} NTS
+
+cd NTS
+%patch0 -p1 -b .headers
+%patch1 -p1 -b .libs
+
+# Sanity check, really often broken
+extver=$(sed -n '/#define PHP_TENSOR_VERSION/{s/.* "//;s/".*$//;p}' ext/php_tensor.h)
+if test "x${extver}" != "x%{upstream_version}%{?upstream_prever}"; then
+ : Error: Upstream extension version is ${extver}, expecting %{upstream_version}%{?upstream_prever}.
+ #exit 1
+fi
+cd ..
+
+%if %{with_zts}
+# Duplicate source tree for NTS / ZTS build
+cp -pr NTS ZTS
+%endif
+
+# Create configuration file
+cat > %{ini_name} << 'EOF'
+; Enable %{pecl_name} extension module
+extension=%{pecl_name}.so
+EOF
+
+
+%build
+%{?dtsenable}
+
+cd NTS/ext
+%{_bindir}/phpize
+%configure \
+ --enable-tensor \
+ --with-libdir=%{_lib} \
+ --with-php-config=%{_bindir}/php-config
+
+make %{?_smp_mflags}
+
+%if %{with_zts}
+cd ../../ZTS/ext
+%{_bindir}/zts-phpize
+%configure \
+ --enable-tensor \
+ --with-libdir=%{_lib} \
+ --with-php-config=%{_bindir}/zts-php-config
+
+make %{?_smp_mflags}
+%endif
+
+
+%install
+%{?dtsenable}
+
+make -C NTS/ext install INSTALL_ROOT=%{buildroot}
+
+# install config file
+install -D -m 644 %{ini_name} %{buildroot}%{php_inidir}/%{ini_name}
+
+# Install XML package description
+install -D -m 644 package.xml %{buildroot}%{pecl_xmldir}/%{name}.xml
+
+%if %{with_zts}
+make -C ZTS/ext install INSTALL_ROOT=%{buildroot}
+install -D -m 644 %{ini_name} %{buildroot}%{php_ztsinidir}/%{ini_name}
+%endif
+
+# Documentation
+cd NTS
+for i in $(grep 'role="doc"' ../package.xml | sed -e 's/^.*name="//;s/".*$//')
+do install -Dpm 644 $i %{buildroot}%{pecl_docdir}/%{pecl_name}/$i
+done
+
+
+%if 0%{?fedora} < 24 && 0%{?rhel} < 8
+# when pear installed alone, after us
+%triggerin -- %{?scl_prefix}php-pear
+if [ -x %{__pecl} ] ; then
+ %{pecl_install} %{pecl_xmldir}/%{name}.xml >/dev/null || :
+fi
+
+# posttrans as pear can be installed after us
+%posttrans
+if [ -x %{__pecl} ] ; then
+ %{pecl_install} %{pecl_xmldir}/%{name}.xml >/dev/null || :
+fi
+
+%postun
+if [ $1 -eq 0 -a -x %{__pecl} ] ; then
+ %{pecl_uninstall} %{pecl_name} >/dev/null || :
+fi
+%endif
+
+
+%check
+: Minimal load test for NTS extension
+%{_bindir}/php --no-php-ini \
+ --define extension=json.so \
+ --define extension=%{buildroot}%{php_extdir}/%{pecl_name}.so \
+ --modules | grep '^%{pecl_name}$'
+
+%if %{with_zts}
+: Minimal load test for ZTS extension
+%{__ztsphp} --no-php-ini \
+ --define extension=json.so \
+ --define extension=%{buildroot}%{php_ztsextdir}/%{pecl_name}.so \
+ --modules | grep '^%{pecl_name}$'
+%endif
+
+
+%files
+%{?_licensedir:%license NTS/LICENSE}
+%doc %{pecl_docdir}/%{pecl_name}
+%{pecl_xmldir}/%{name}.xml
+
+%config(noreplace) %{php_inidir}/%{ini_name}
+%{php_extdir}/%{pecl_name}.so
+
+%if %{with_zts}
+%config(noreplace) %{php_ztsinidir}/%{ini_name}
+%{php_ztsextdir}/%{pecl_name}.so
+%endif
+
+
+%changelog
+* Mon Feb 15 2021 Remi Collet <remi@remirepo.net> - 1.8.0~alpha2-1
+- initial package
+- open https://github.com/RubixML/Tensor/pull/11
+ check for openblas headers
+- open https://github.com/RubixML/Tensor/issues/12
+ PHP 8 compatibility
diff --git a/tensor-headers.patch b/tensor-headers.patch
new file mode 100644
index 0000000..e2fed73
--- /dev/null
+++ b/tensor-headers.patch
@@ -0,0 +1,39 @@
+From 9feb1e81f79e28b78b803abde4dacaca820dafe8 Mon Sep 17 00:00:00 2001
+From: Remi Collet <remi@remirepo.net>
+Date: Mon, 15 Feb 2021 09:37:22 +0100
+Subject: [PATCH] check for openblas headers
+
+---
+ ext/config.m4 | 18 +++++++++++++++++-
+ 1 file changed, 17 insertions(+), 1 deletion(-)
+
+diff --git a/ext/config.m4 b/ext/config.m4
+index ae03d9c..2b130c0 100644
+--- a/ext/config.m4
++++ b/ext/config.m4
+@@ -1,8 +1,24 @@
+ PHP_ARG_ENABLE(tensor, whether to enable tensor, [ --enable-tensor Enable Tensor])
+
++PHP_ARG_WITH(openblas, libopenblas directory,
++[ --with-openblas=DIR libopenblas directory], no, no)
++
+ if test "$PHP_TENSOR" = "yes"; then
+
+-
++ AC_MSG_CHECKING([Check openblas headers])
++ for i in $PHP_OPENBLAS /usr/local/include /usr/include/openblas /usr/include; do
++ if test -r $i/cblas.h; then
++ OPENBLAS_DIR=$i
++ AC_MSG_RESULT([found in $i])
++ break
++ fi
++ done
++
++ if test -z "$OPENBLAS_DIR"; then
++ AC_MSG_ERROR([openblas headers not found])
++ else
++ PHP_ADD_INCLUDE($OPENBLAS_DIR)
++ fi
+
+ if ! test "x-lopenblas -llapacke -lgfortran -lpthread" = "x"; then
+ PHP_EVAL_LIBLINE(-lopenblas -llapacke -lgfortran -lpthread, TENSOR_SHARED_LIBADD)
diff --git a/tensor-libs.patch b/tensor-libs.patch
new file mode 100644
index 0000000..42fe7b3
--- /dev/null
+++ b/tensor-libs.patch
@@ -0,0 +1,15 @@
+diff --git a/ext/config.m4 b/ext/config.m4
+index 2b130c0..90b7e1c 100644
+--- a/ext/config.m4
++++ b/ext/config.m4
+@@ -20,9 +20,7 @@ if test "$PHP_TENSOR" = "yes"; then
+ PHP_ADD_INCLUDE($OPENBLAS_DIR)
+ fi
+
+- if ! test "x-lopenblas -llapacke -lgfortran -lpthread" = "x"; then
+- PHP_EVAL_LIBLINE(-lopenblas -llapacke -lgfortran -lpthread, TENSOR_SHARED_LIBADD)
+- fi
++ PHP_EVAL_LIBLINE(-lopenblas, TENSOR_SHARED_LIBADD)
+
+ AC_DEFINE(HAVE_TENSOR, 1, [Whether you have Tensor])
+ tensor_sources="tensor.c kernel/main.c kernel/memory.c kernel/exception.c kernel/debug.c kernel/backtrace.c kernel/object.c kernel/array.c kernel/string.c kernel/fcall.c kernel/require.c kernel/file.c kernel/operators.c kernel/math.c kernel/concat.c kernel/variables.c kernel/filter.c kernel/iterator.c kernel/time.c kernel/exit.c tensor/arithmetic.zep.c