Changed python requirements to 3.6+

README.rst

@@ -10,6 +10,8 @@ npstreams
 .. image:: https://img.shields.io/pypi/v/npstreams.svg
     :target: https://pypi.python.org/pypi/npstreams
     :alt: PyPI Version
+.. image:: https://img.shields.io/pypi/pyversions/npstreams.svg
+    :alt: Supported Python Versions
 
 npstreams is an open-source Python package for streaming NumPy array operations. 
 The goal is to provide tested routines that operate on streams (or generators) of arrays instead of dense arrays.
@@ -115,7 +117,7 @@ To install the latest development version from `Github <https://github.com/Laure
 
     python -m pip install git+git://github.com/LaurentRDC/npstreams.git
 
-Each version is tested against Python 3.4, 3.5 and 3.6. If you are using a different version, tests can be run
+Each version is tested against Python 3.6. If you are using a different version, tests can be run
 using the standard library's `unittest` module.
 
 Support / Report Issues

appveyor.yml

@@ -20,7 +20,6 @@ environment:
   matrix:
 
       - PYTHON_VERSION: "3.6"
-      - PYTHON_VERSION: "3.5"
 
 matrix:
    fast_finish: true

docs/source/installation.rst

@@ -9,7 +9,7 @@ Installation
 Requirements
 ============
 
-**npstreams** works on Linux, Mac OS X and Windows. It requires Python 3.4+ 
+**npstreams** works on Linux, Mac OS X and Windows. It requires Python 3.6+ 
 as well as `numpy`_. `scipy`_ is an optional dependency that is only used in
 tests; however, if SciPy cannot be imported, tests will not fail.
 

npstreams/benchmarks.py

@@ -72,6 +72,8 @@ def benchmark(funcs =  [np.average, np.mean, np.std, np.sum, np.prod],
 
     All benchmarks compare a reduction operation on a stream of arrays of varying sizes. The sequence length is fixed.
     
+    .. versionadded:: 1.5.2
+    
     Parameters
     ----------
     funcs : iterable of NumPy functions, optional
@@ -82,8 +84,6 @@ def benchmark(funcs =  [np.average, np.mean, np.std, np.sum, np.prod],
     shapes : iterable of tuples, optional
         Shapes of arrays to test. Streams of random numbers will be generated with arrays of those shapes.
         The sequence lengths are fixed.
-
-    .. versionadded:: 1.5.2
     """
     # Preliminaries
     console_width = min(get_terminal_size().columns, 80)

setup.py

@@ -51,7 +51,7 @@ def test_suite():
         keywords = ['streaming', 'numpy', 'math'],
         packages = packages,
         include_package_data = True,
-        python_requires = '>=3.6, <4', 
+        python_requires = '>=3.6, <4',
         zip_safe = False,
 #        include_dirs = [numpy.get_include()],
 #        ext_modules = cythonize("npstreams/*.pyx",
@@ -65,6 +65,5 @@ def test_suite():
                        'Natural Language :: English',
                        'Operating System :: OS Independent',
                        'Programming Language :: Python',
-                       'Programming Language :: Python :: 3.5',
                        'Programming Language :: Python :: 3.6']
     )