Bump version to 1.2.7

conda-recipe-cf/meta.yaml

@@ -1,4 +1,4 @@
-{% set version = "1.2.6" %}
+{% set version = "1.2.7" %}
 {% set buildnumber = 0 %}
 
 package:

conda-recipe/meta.yaml

@@ -1,4 +1,4 @@
-{% set version = "1.2.6" %}
+{% set version = "1.2.7" %}
 {% set buildnumber = 0 %}
 
 package:

docs/source/conf.py

@@ -9,7 +9,7 @@
 project = 'mkl_random'
 copyright = '2017-2024, Intel Corp.'
 author = 'Intel Corp.'
-release = '1.2.5'
+release = '1.2.7'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

docs/source/tutorials.rst

@@ -15,7 +15,7 @@ The package :mod:`mkl_random` is available in `conda <https://docs.conda.io/en/l
 .. code-block:: bash
     :caption: Install mkl_random from intel channel
 
-        $ conda install -c intel mkl_random
+        $ conda install -c https://software.repos.intel.com/python/conda mkl_random
 
 .. code-block:: bash
     :caption: Install mkl_random from default channel main
@@ -119,4 +119,4 @@ States initialization algorithms take user provided _seed_ value, usually an int
 to populate the internal state of the pseudo-random generator. 
 
 The sequence from the pseudo-random generator, unlike from true random generator, is repeatable, provided the internal state can be
-saved and restored, or initialized to the same state.
+saved and restored, or initialized to the same state.

mkl_random/_version.py

@@ -1 +1 @@
-__version__ = '1.2.6'
+__version__ = '1.2.7'