Merge pull request #140 from Jij-Inc/konn/genarray

Array Generation docs

Author: konn

docs/en/releases/unreleased.ipynb

@@ -19,9 +19,26 @@ kernelspec:
 
 +++
 
-### Feature 1
+### Generating arrays with a shape and generator function
 
-+++
+Starting with this version, the {py:func}`~jijmodeling.genarray` function can be used to generate arrays by specifying a shape and a generator function.
+This is similar to {py:func}`~numpy.fromfunction` in NumPy.
+
+```{code-cell} ipython3
+import jijmodeling as jm
+
+
+@jm.Problem.define("genarray example")
+def problem(problem):
+    N = problem.Natural()
+    M = problem.Natural()
+    a = problem.Float(shape=(N, M))
+    x = problem.BinaryVar(shape=N)
+    Sums = problem.NamedExpr(jm.genarray(lambda i, j: a[i, j] * x[i], (N, M)))
+
+
+problem
+```
 
 ## Bugfixes
 

docs/ja/releases/unreleased.ipynb

@@ -19,9 +19,26 @@ kernelspec:
 
 +++
 
-### 機能1
+### シェイプと生成関数による配列の生成
 
-+++
+本バージョンから、{py:func}`~jijmodeling.genarray` 関数により、シェイプと生成関数を指定して配列を生成できるようになりました。
+これは numpy の {py:func}`~numpy.fromfunction` と類似の機能です。
+
+```{code-cell} ipython3
+import jijmodeling as jm
+
+
+@jm.Problem.define("genarray example")
+def problem(problem):
+    N = problem.Natural()
+    M = problem.Natural()
+    a = problem.Float(shape=(N, M))
+    x = problem.BinaryVar(shape=N)
+    Sums = problem.NamedExpr(jm.genarray(lambda i, j: a[i, j] * x[i], (N, M)))
+
+
+problem
+```
 
 ## バグ修正