Merge pull request #76 from pllim/rm-testers

Remove defunct modules

LICENSE.md

@@ -0,0 +1,29 @@
+BSD 3-Clause License
+
+Copyright (c) 2018, Space Telescope Science Institute, AURA
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

doc/source/bitmask.rst

@@ -2,7 +2,7 @@
 Utility functions for handling bit masks and mask arrays.
 *********************************************************
 
-.. moduleauthor:: Mihai Cara <help@stsci.edu>
+.. moduleauthor:: Mihai Cara
 
 .. currentmodule:: stsci.tools.bitmask
 

lib/stsci/tools/bitmask.py

@@ -2,9 +2,9 @@
 A module that provides functions for manipulating bitmasks and data quality
 (DQ) arrays.
 
-:Authors: Mihai Cara (contact: help@stsci.edu)
+:Authors: Mihai Cara
 
-:License: `<http://www.stsci.edu/resources/software_hardware/pyraf/LICENSE>`_
+:License: See LICENSE.md
 
 """
 

lib/stsci/tools/fileutil.py

@@ -72,10 +72,7 @@
         Returns true if file exists, where filename can include IRAF variables
 """
 
-from __future__ import division, print_function # confidence high
-
-from . import numerixenv
-numerixenv.check()
+from __future__ import absolute_import, division, print_function  # confidence high
 
 import astropy
 from . import stpyfits as fits

lib/stsci/tools/gfit.py

@@ -4,7 +4,6 @@
 Uses mpfit.py - a python implementation of the Levenberg-Marquardt
 least-squares minimization, based on MINPACK-1. See nmpfit.py for
 the history of this module (fortran -> idl -> python).
-nmpfit.py is a version of mpfit.py which uses numarray.
 
 @author: Nadia Dencheva
 @version: '1.0 (2007-02-20)'
@@ -25,8 +24,7 @@
 __vdate__ = '2018-04-20'     # Date of this version
 
 
-
-def _gauss_funct(p, fjac = None, x = None, y=None, err=None,
+def _gauss_funct(p, fjac=None, x=None, y=None, err=None,
                  weights=None):
 
     """
@@ -53,22 +51,22 @@ def _gauss_funct(p, fjac = None, x = None, y=None, err=None,
         return [status, y - model]
 
 
-def gfit1d(y, x=None, err = None, weights=None, par=None, parinfo=None,
+def gfit1d(y, x=None, err=None, weights=None, par=None, parinfo=None,
            maxiter=200, quiet=0):
     """
     Return the gaussian fit as an object.
 
     Parameters
     ----------
-    y:   1D Numarray array
+    y:   1D Numpy array
         The data to be fitted
-    x:   1D Numarray array
+    x:   1D Numpy array
         (optional) The x values of the y array. x and y must
         have the same shape.
-    err: 1D Numarray array
+    err: 1D Numpy array
         (optional) 1D array with measurement errors, must be
         the same shape as y
-    weights: 1D Numarray array
+    weights: 1D Numpy array
         (optiional) 1D array with weights, must be the same
         shape as y
     par:  List

lib/stsci/tools/linefit.py

@@ -42,7 +42,6 @@ def linefit(x, y, weights=None):
     >>> around(linefit(x,y), decimals=5)
     array([1.42564, 0.31579])
     """
-
     if len(x) != len(y):
         print("Error: X and Y must have equal size\n")
         return

lib/stsci/tools/nmpfit.py

@@ -412,9 +412,6 @@ def myfunct(p, fjac=None, x=None, y=None, err=None)
         Translated from MPFIT (Craig Markwardt's IDL package) to Python,
         August, 2002.  Mark Rivers
 """
-from . import numerixenv
-numerixenv.check()
-
 import numpy
 import types
 

lib/stsci/tools/tests/test_bitmask.py

@@ -1,7 +1,7 @@
 """
 A module containing unit tests for the `bitmask` modue.
 
-:Authors: Mihai Cara (contact: help@stsci.edu)
+:Authors: Mihai Cara
 
 """
 from __future__ import (absolute_import, division, unicode_literals,