update for v1.0.1

README.md

@@ -14,8 +14,8 @@
 Before the installation, the following components are required to be installed on your x86 Node of SX-Aurora TSUBASA.
 
 - [NEC SDK](https://www.hpc.nec/documents/guide/pdfs/InstallationGuide_E.pdf)
-	- required NEC C/C++ compiler version: >= 3.1.1
-	- required NLC version: >= 2.2.0
+	- required NEC C/C++ compiler version: >= 3.2.1
+	- required NLC version: >= 2.3.0
 
 - [Alternative VE Offloading (AVEO)](https://www.hpc.nec/documents/veos/en/aveo/index.html)
 

doc/source/installation.rst

@@ -6,29 +6,29 @@ Installation Guide
 This page describes installation of NLCPy.
 
 .. attention::
-    - Since April 2021, NLCPy has been provided as a software of NEC SDK (NEC Software 
-      Development Kit for Vector Engine). If NEC SDK on your machine has been properly 
-      installed or updated after that, NLCPy is available by using ``/usr/bin/python3`` 
-      command, and the installation described in this page is not needed. 
-      However, when you use another Python command such as ``/usr/local/bin/python3`` 
-      and `python3` in a virtual environment, please install NLCPy from a wheel 
+    - Since April 2021, NLCPy has been provided as a software of NEC SDK (NEC Software
+      Development Kit for Vector Engine). If NEC SDK on your machine has been properly
+      installed or updated after that, NLCPy is available by using ``/usr/bin/python3``
+      command, and the installation described in this page is not needed.
+      However, when you use another Python command such as ``/usr/local/bin/python3``
+      and `python3` in a virtual environment, please install NLCPy from a wheel
       package or source files described in this page.
 
     .. seealso::
         `SX-Aurora TSUBASA Installation Guide
         <https://www.hpc.nec/documents/guide/pdfs/InstallationGuide_E.pdf>`_
 
-    - The libraries of NLCPy are located in the following directory after NEC SDK 
+    - The libraries of NLCPy are located in the following directory after NEC SDK
       is installed or updated::
 
           /opt/nec/ve/nlcpy/X.X.X/lib/python36/nlcpy
 
       Here, X.X.X denotes the version of NLCPy.
-      If you install or update NEC SDK, the directory of the latest version of 
+      If you install or update NEC SDK, the directory of the latest version of
       NLCPy is added in Python module search path. When you use a specific
       version of NLCPy, the evironmental variable **PYTHONPATH** must be set as
       follows::
-       
+
           $ export PYTHONPATH=/opt/nec/ve/nlcpy/X.X.X/lib/python36/
 
 Requirements
@@ -39,8 +39,8 @@ installed on your x86 Node of SX-Aurora TSUBASA.
 
 * | `NEC SDK <https://www.hpc.nec/documents/guide/pdfs/InstallationGuide_E.pdf>`_
 
-    - required NEC C/C++ compiler version: >= 3.1.1
-    - required NLC version: >= 2.2.0
+    - required NEC C/C++ compiler version: >= 3.2.1
+    - required NLC version: >= 2.3.0
 
 * | `Alternative VE Offloading (AVEO) <https://www.hpc.nec/documents/veos/en/aveo/index.html>`_
 
@@ -93,7 +93,7 @@ You can install NLCPy by executing either of following commands.
 
            $ pip install <path_to_wheel>
 
-The shared objects for Vector Engine, which are included in the wheel package, are compiled and tested by using NEC C/C++ Version 3.1.1 and NumPy v1.17.4.
+The shared objects for Vector Engine, which are included in the wheel package, are compiled and tested by using NEC C/C++ Version 3.2.1 and NumPy v1.17.4.
 
 
 Install from source (with building)

doc/source/locale/ja/LC_MESSAGES/installation.po

@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: nlcpy 1.0.0b1\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2021-02-12 11:33+0900\n"
+"POT-Creation-Date: 2021-05-19 15:45+0900\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <[email protected]>\n"
@@ -84,12 +84,12 @@ msgid ""
 msgstr ""
 
 #: ../../source/installation.rst:42
-msgid "required NEC C/C++ compiler version: >= 3.1.1"
-msgstr "必要なNEC C/C++ コンパイラバージョン: >= 3.1.1"
+msgid "required NEC C/C++ compiler version: >= 3.2.1"
+msgstr "必要なNEC C/C++ コンパイラバージョン: >= 3.2.1"
 
 #: ../../source/installation.rst:43
-msgid "required NLC version: >= 2.2.0"
-msgstr "必要なNLCバージョン: >= 2.2.0"
+msgid "required NLC version: >= 2.3.0"
+msgstr "必要なNLCバージョン: >= 2.3.0"
 
 #: ../../source/installation.rst
 msgid ""
@@ -99,11 +99,11 @@ msgstr ""
 "`Alternative VE Offloading (AVEO) "
 "<https://www.hpc.nec/documents/veos/en/aveo/index.html>`_"
 
-#: ../../source/installation.rst
+#: ../../source/installation.rst:49
 msgid ""
-"The following installation of AVEO is not necessary if VEOS 2.5.1 or later is installed on your machine."
-msgstr ""
-"VEOS 2.5.1以降がマシンにインストールされていれば、以下のAVEOパッケージのインストールは不要です。"
+"The following installation of AVEO is not necessary if VEOS 2.5.1 or "
+"later is installed on your machine."
+msgstr "VEOS 2.5.1以降がマシンにインストールされていれば、以下のAVEOパッケージのインストールは不要です。"
 
 #: ../../source/installation.rst
 msgid ""
@@ -169,17 +169,17 @@ msgstr "`GitHub <https://github.com/SX-Aurora/nlcpy/>`_ からwheelパッケー
 msgid "Put the wheel package to your any directory."
 msgstr "wheelパッケージを任意のディレクトリに配置"
 
-#: ../../source/installation.rst:89
+#: ../../source/installation.rst:90
 msgid "Install the local wheel package via pip command."
 msgstr "pipコマンドを使用してローカルのwheelパッケージをインストール"
 
 #: ../../source/installation.rst:96
 msgid ""
 "The shared objects for Vector Engine, which are included in the wheel "
-"package, are compiled and tested by using NEC C/C++ Version 3.1.1 and "
+"package, are compiled and tested by using NEC C/C++ Version 3.2.1 and "
 "NumPy v1.17.4."
 msgstr ""
-"wheelパッケージに含まれているVector Engine用の共有オブジェクトは、NEC C/C++ バージョン3.1.1とNumPy "
+"wheelパッケージに含まれているVector Engine用の共有オブジェクトは、NEC C/C++ バージョン3.2.1とNumPy "
 "v1.17.4を使用してコンパイルおよびテストしています。"
 
 #: ../../source/installation.rst:100

doc/source/locale/ja/LC_MESSAGES/reference/constants.po

@@ -3,7 +3,6 @@
 # This file is distributed under the same license as the nlcpy package.
 # FIRST AUTHOR <EMAIL@ADDRESS>, 2021.
 #
-#, fuzzy
 msgid ""
 msgstr ""
 "Project-Id-Version: nlcpy 1.0.0\n"

doc/source/locale/ja/LC_MESSAGES/reference/creation.po

@@ -3,12 +3,11 @@
 # This file is distributed under the same license as the nlcpy package.
 # FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
 #
-#, fuzzy
 msgid ""
 msgstr ""
 "Project-Id-Version: nlcpy 1.0.0b1\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2021-02-05 14:32+0900\n"
+"POT-Creation-Date: 2021-05-19 15:45+0900\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <[email protected]>\n"
@@ -112,7 +111,7 @@ msgid "Returns a full array with the same shape and type as a given array."
 msgstr ""
 
 #: ../../source/reference/creation.rst:26
-msgid "From Exixting Data"
+msgid "From Existing Data"
 msgstr ""
 
 #: ../../source/reference/creation.rst:39:<autosummary>:1
@@ -214,3 +213,6 @@ msgstr ""
 #~ msgid "Returns a new array of given shape and type, filled with *fill_value.*"
 #~ msgstr ""
 
+#~ msgid "From Exixting Data"
+#~ msgstr ""
+

doc/source/locale/ja/LC_MESSAGES/reference/mathematical.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: nlcpy 1.0.0b1\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2021-02-05 14:32+0900\n"
+"POT-Creation-Date: 2021-05-19 15:45+0900\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <[email protected]>\n"
@@ -208,7 +208,7 @@ msgid ":obj:`nlcpy.prod <nlcpy.prod>`"
 msgstr ""
 
 #: ../../source/reference/mathematical.rst:59:<autosummary>:1
-msgid "Return the product of array elements over a given axis."
+msgid "Returns the product of array elements over a given axis."
 msgstr ""
 
 #: ../../source/reference/mathematical.rst:59:<autosummary>:1
@@ -555,3 +555,6 @@ msgstr ""
 msgid ":obj:`nlcpy.fmin <nlcpy.fmin>`"
 msgstr ""
 
+#~ msgid "Return the product of array elements over a given axis."
+#~ msgstr ""
+

doc/source/locale/ja/LC_MESSAGES/reference/random.po

@@ -8,14 +8,14 @@ msgid ""
 msgstr ""
 "Project-Id-Version: nlcpy 1.0.0b1\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2020-11-18 17:24+0900\n"
+"POT-Creation-Date: 2021-05-19 15:45+0900\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <[email protected]>\n"
 "MIME-Version: 1.0\n"
 "Content-Type: text/plain; charset=utf-8\n"
 "Content-Transfer-Encoding: 8bit\n"
-"Generated-By: Babel 2.7.0\n"
+"Generated-By: Babel 2.9.0\n"
 
 #: ../../source/reference/random.rst:4
 msgid "Random Sampling"
@@ -295,7 +295,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/reference/random.rst:119:<autosummary>:1
-msgid "Returns a ndarray representing the internal state of the generator."
+msgid "Returns an ndarray representing the internal state of the generator."
 msgstr ""
 
 #: ../../source/reference/random.rst:119:<autosummary>:1
@@ -315,7 +315,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/reference/random.rst:119:<autosummary>:1
-msgid "Sets the internal state of the generator from a ndarray."
+msgid "Sets the internal state of the generator from an ndarray."
 msgstr ""
 
 #: ../../source/reference/random.rst:137:<autosummary>:1
@@ -478,3 +478,9 @@ msgstr ""
 msgid ":obj:`nlcpy.random.RandomState.weibull <nlcpy.random.RandomState.weibull>`"
 msgstr ""
 
+#~ msgid "Returns a ndarray representing the internal state of the generator."
+#~ msgstr ""
+
+#~ msgid "Sets the internal state of the generator from a ndarray."
+#~ msgstr ""
+

doc/source/locale/ja/LC_MESSAGES/reference/statistics.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: nlcpy 1.0.0b1\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2021-02-05 14:32+0900\n"
+"POT-Creation-Date: 2021-05-19 15:45+0900\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <[email protected]>\n"
@@ -192,7 +192,7 @@ msgid ":obj:`nlcpy.correlate <nlcpy.correlate>`"
 msgstr ""
 
 #: ../../source/reference/statistics.rst:50:<autosummary>:1
-msgid "Cross-correlation of two 1-dimensional sequences.."
+msgid "Cross-correlation of two 1-dimensional sequences."
 msgstr ""
 
 #: ../../source/reference/statistics.rst:50:<autosummary>:1
@@ -252,7 +252,9 @@ msgid ":obj:`nlcpy.histogram_bin_edges <nlcpy.histogram_bin_edges>`"
 msgstr ""
 
 #: ../../source/reference/statistics.rst:63:<autosummary>:1
-msgid "Function to calculate only the edges of the bins used by the"
+msgid ""
+"Function to calculate only the edges of the bins used by "
+":func:`histogram` function."
 msgstr ""
 
 #: ../../source/reference/statistics.rst:63:<autosummary>:1
@@ -265,3 +267,9 @@ msgid ""
 "belongs."
 msgstr ""
 
+#~ msgid "Cross-correlation of two 1-dimensional sequences.."
+#~ msgstr ""
+
+#~ msgid "Function to calculate only the edges of the bins used by the"
+#~ msgstr ""
+

doc/source/locale/ja/LC_MESSAGES/release_notes/v1.0.1.po

@@ -0,0 +1,47 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2020-2021, NEC Corporation
+# This file is distributed under the same license as the nlcpy package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2021.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: nlcpy 1.0.1\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2021-05-19 16:06+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language-Team: LANGUAGE <[email protected]>\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.9.0\n"
+
+#: ../../source/release_notes/v1.0.1.rst:3
+msgid "What's new in Version 1.0.1 (May 31, 2021)"
+msgstr "バージョン1.0.1の更新事項（2021年5月31日）"
+
+#: ../../source/release_notes/v1.0.1.rst:8
+msgid "Problem Fixes"
+msgstr "不具合修正"
+
+#: ../../source/release_notes/v1.0.1.rst:10
+msgid ""
+"Fixed abnormal termination that could occur when a Python script using "
+"NLCPy is executed by a batch scheduler."
+msgstr "バッチ環境で実行に失敗する不具合を修正"
+
+#: ../../source/release_notes/v1.0.1.rst:11
+msgid ""
+"Fixed a problem that stalls when a multi-dimensional :class:`ndarray` is "
+"specified as a parameter to :func:`sort` ."
+msgstr ":func:`sort` に多次元の :class:`ndarray` が指定された時にストールする不具合を修正"
+
+#: ../../source/release_notes/v1.0.1.rst:15
+msgid "Function Enhancements"
+msgstr "機能強化"
+
+#: ../../source/release_notes/v1.0.1.rst:17
+msgid "Improved a part of the memory allocation logic during the lazy evaluation."
+msgstr "遅延評価時のメモリ確保のロジックの一部を改善"
+

doc/source/release_notes/index.rst

@@ -9,5 +9,6 @@ This is the list of the revision history of NLCPy between each releases.
 .. toctree::
     :maxdepth: 1
 
+    v1.0.1
     v1.0.0
     v1.0.0b2

doc/source/release_notes/v1.0.1.rst

@@ -0,0 +1,17 @@
+============================================
+What's new in Version 1.0.1 (May 31, 2021)
+============================================
+
+.. currentmodule:: nlcpy
+
+Problem Fixes
+-------------
+
+* Fixed abnormal termination that could occur when a Python script using NLCPy is executed by a batch scheduler.
+* Fixed a problem that stalls when a multi-dimensional :class:`ndarray` is specified as a parameter to :func:`sort` .
+
+
+Function Enhancements
+---------------------
+
+* Improved a part of the memory allocation logic during the lazy evaluation.

nlcpy/_version.py

@@ -1 +1 @@
-__version__ = '1.0.0'
+__version__ = '1.0.1'

nlcpy/core/internal.pyx

@@ -107,7 +107,7 @@ cpdef inline bint get_c_contiguity(
         vector[Py_ssize_t]& strides,
         Py_ssize_t itemsize):
     cdef vector[Py_ssize_t] r_shape, r_strides
-    cpdef Py_ssize_t ndim
+    cdef Py_ssize_t ndim
     ndim = strides.size()
     if ndim == 0 or (ndim == 1 and strides[0] == itemsize):
         return True
@@ -216,8 +216,8 @@ cpdef inline Py_ssize_t _extract_slice_element(x) except? 0:
 
 
 cpdef slice complete_slice(slice slc, Py_ssize_t dim):
-    cpdef Py_ssize_t start=0, stop=0, step=0
-    cpdef bint start_none, stop_none
+    cdef Py_ssize_t start=0, stop=0, step=0
+    cdef bint start_none, stop_none
     if slc.step is None:
         step = 1
     else:

nlcpy/linalg/norm.py

@@ -69,9 +69,11 @@ def _lange(x, norm, axis):
     if x.size == 0:
         shape = [x.shape[i] for i in set(range(x.ndim)) - set(axis)]
         return nlcpy.zeros(shape, dtype=dtype)
-    if norm in (None, 'fro'):
-        norm = 'F'
-    elif norm == nlcpy.inf:
+    if norm in (None, 'fro', 'f'):
+        if x.dtype.kind == 'c':
+            x = abs(x)
+        return nlcpy.sqrt(nlcpy.sum(x * x, axis=axis))
+    if norm == nlcpy.inf:
         norm = 'I'
     else:
         norm = '1'