Merge pull request #56 from yuta-nakahara/release-0.2.1

Release 0.2.1

Author: yuta-nakahara

README.md

@@ -137,7 +137,7 @@ Plain text
 
 ```
 Y. Nakahara, N. Ichijo, K. Shimada, Y. Iikubo, 
-S. Saito, K. Kazama, T. Matsushima, ``BayesML 0.2.0,'' 
+S. Saito, K. Kazama, T. Matsushima, BayesML Developers, ``BayesML 0.2.1,'' 
 [Online] https://github.com/yuta-nakahara/BayesML
 ```
 
@@ -147,8 +147,8 @@ BibTeX
 @misc{bayesml,
   author = {Nakahara Yuta and Ichijo Naoki and Shimada Koshi and
             Iikubo Yuji and Saito Shota and Kazama Koki and
-            Matsushima Toshiyasu}
-  title = {BayesML 0.2.0},
+            Matsushima Toshiyasu and {BayesML Developers}},
+  title = {BayesML 0.2.1},
   howpublished = {\url{https://github.com/yuta-nakahara/BayesML}},
   year = {2022}
 }

README_jp.md

@@ -134,7 +134,7 @@ BayesMLへのコントリビューションを考えてくださってありが
 
 ```
 Y. Nakahara, N. Ichijo, K. Shimada, Y. Iikubo, 
-S. Saito, K. Kazama, T. Matsushima, ``BayesML 0.2.0,'' 
+S. Saito, K. Kazama, T. Matsushima, BayesML Developers, ``BayesML 0.2.1,'' 
 [Online] https://github.com/yuta-nakahara/BayesML
 ```
 
@@ -144,8 +144,8 @@ BibTeX
 @misc{bayesml,
   author = {Nakahara Yuta and Ichijo Naoki and Shimada Koshi and
             Iikubo Yuji and Saito Shota and Kazama Koki and
-            Matsushima Toshiyasu}
-  title = {BayesML 0.2.0},
+            Matsushima Toshiyasu and {BayesML Developers}},
+  title = {BayesML 0.2.1},
   howpublished = {\url{https://github.com/yuta-nakahara/BayesML}},
   year = {2022}
 }

bayesml/_check.py

@@ -47,6 +47,16 @@ def nonneg_ints(val,val_name,exception_class):
             return val
     raise(exception_class(val_name + " must be int or a numpy.ndarray whose dtype is int. Its values must be non-negative (including 0)."))
 
+def pos_ints(val,val_name,exception_class):
+    try:
+        return pos_int(val,val_name,exception_class)
+    except:
+        pass
+    if type(val) is np.ndarray:
+        if np.issubdtype(val.dtype,np.integer) and np.all(val>0):
+            return val
+    raise(exception_class(val_name + " must be int or a numpy.ndarray whose dtype is int. Its values must be positive (not including 0)."))
+
 def int_vec(val,val_name,exception_class):
     if type(val) is np.ndarray:
         if np.issubdtype(val.dtype,np.integer) and val.ndim == 1:
@@ -59,6 +69,12 @@ def nonneg_int_vec(val,val_name,exception_class):
             return val
     raise(exception_class(val_name + " must be a 1-dimensional numpy.ndarray whose dtype is int. Its values must be non-negative (including 0)."))
 
+def pos_int_vec(val,val_name,exception_class):
+    if type(val) is np.ndarray:
+        if np.issubdtype(val.dtype,np.integer) and val.ndim == 1 and np.all(val>0):
+            return val
+    raise(exception_class(val_name + " must be a 1-dimensional numpy.ndarray whose dtype is int. Its values must be positive (not including 0)."))
+
 def nonneg_int_vecs(val,val_name,exception_class):
     if type(val) is np.ndarray:
         if np.issubdtype(val.dtype,np.integer) and val.ndim >= 1 and np.all(val>=0):