Change repo URI to https://github.com/lebedov/scikit-cuda

MANIFEST.in

@@ -1,6 +1,6 @@
 include AUTHORS CHANGES INSTALL LICENSE README.rst tox.ini
 recursive-include skcuda *.py
-recursive-include scikits *.h
+recursive-include skcuda *.h
 recursive-include demos *.py
 recursive-include tests *.py
 recursive-include docs *

README.rst

@@ -1,6 +1,6 @@
 .. -*- rst -*-
 
-..  image:: https://raw.githubusercontent.com/lebedov/scikits.cuda/master/docs/source/_static/logo.png
+..  image:: https://raw.githubusercontent.com/lebedov/scikit-cuda/master/docs/source/_static/logo.png
    :alt: CUDA SciKit
 
 Package Description
@@ -39,7 +39,7 @@ Package documentation is available at
 Development
 -----------
 The latest source code can be obtained from
-`<http://github.com/lebedov/scikits.cuda>`_.
+`<http://github.com/lebedov/scikit-cuda>`_.
 
 Authors & Acknowledgments
 -------------------------

docs/source/install.rst

@@ -17,7 +17,7 @@ not already on your system.
 Obtaining the Latest Software
 -----------------------------
 The latest stable and development versions of ``scikits.cuda`` can be downloaded 
-from `GitHub <https://github.com/lebedov/scikits.cuda>`_
+from `GitHub <https://github.com/lebedov/scikit-cuda>`_
 
 Online documentation for ``scikits.cuda`` is available at 
 `<https://scikit-cuda.readthedocs.org>`_
@@ -95,9 +95,9 @@ directly.
 Getting Started
 ---------------
 The functions provided by ``scikits.cuda`` are grouped into several submodules 
-in the ``scikits.cuda`` namespace package. The ``skcuda`` namespace package is 
-also provided as a shortcut to ``scikits.cuda``. Sample code demonstrating how 
-to use different parts of the toolbox is
+in the ``skcuda`` namespace package. The ``scikits.cuda`` namespace package is 
+also provided as a shortcut to ``skcuda``. Sample code demonstrating how to use 
+different parts of the toolbox is
 located in the ``demos/`` subdirectory of the source release. Many of the 
 high-level functions also contain doctests that describe their usage.
 

setup.py

@@ -19,7 +19,7 @@
 VERSION =            '0.5.0b3'
 AUTHOR =             'Lev Givon'
 AUTHOR_EMAIL =       'lev@columbia.edu'
-URL =                'https://github.com/lebedov/scikits.cuda/'
+URL =                'https://github.com/lebedov/scikit-cuda/'
 DESCRIPTION =        'Python interface to GPU-powered libraries'
 LONG_DESCRIPTION =   DESCRIPTION
 DOWNLOAD_URL =       URL

skcuda/integrate.py

@@ -61,7 +61,7 @@ def trapz(x_gpu, dx=1.0, handle=None):
         Spacing.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -210,7 +210,7 @@ def trapz2d(x_gpu, dx=1.0, dy=1.0, handle=None):
         Y-axis spacing
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------

skcuda/linalg.py

@@ -412,7 +412,7 @@ def add_dot(a_gpu, b_gpu, c_gpu, transa='N', transb='N', alpha=1.0, beta=1.0, ha
         If 'C', compute the product of the Hermitian of `b_gpu`.
     handle : int (optional)
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -545,7 +545,7 @@ def dot(x_gpu, y_gpu, transa='N', transb='N', handle=None, out=None):
         If 'C', compute the product of the Hermitian of `y_gpu`.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
     out : pycuda.gpuarray.GPUArray, optional
         Output argument. Will be used to store the result.
 
@@ -646,7 +646,7 @@ def mdot(*args, **kwargs):
         Arrays to multiply.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -713,7 +713,7 @@ def dot_diag(d_gpu, a_gpu, trans='N', overwrite=False, handle=None):
         If true, save the result in `a_gpu`.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -804,7 +804,7 @@ def add_diag(d_gpu, a_gpu, overwrite=False, handle=None):
         If true, save the result in `a_gpu`.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -899,7 +899,7 @@ def transpose(a_gpu, handle=None):
         Transposed matrix of shape `(n, m)`.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Examples
     --------
@@ -936,7 +936,7 @@ def hermitian(a_gpu, handle=None):
         Input matrix of shape `(m, n)`.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -1358,7 +1358,7 @@ def tril(a_gpu, overwrite=False, handle=None):
         If false, return the result in a newly allocated matrix.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.cuda.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -1511,7 +1511,7 @@ def norm(x_gpu, handle=None):
         Input array.
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -1573,7 +1573,7 @@ def scale(alpha, x_gpu, alpha_real=False, handle=None):
         the corresponding complex type.)
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Examples
     --------
@@ -1679,7 +1679,7 @@ def trace(x_gpu, handle=None):
 
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
 
     Returns
     -------
@@ -1732,7 +1732,7 @@ def det(a_gpu, overwrite=False, ipiv_gpu=None, handle=None):
         Discard data in `a` (may improve performance).
     handle : int
         CUBLAS context. If no context is specified, the default handle from
-        `scikits.misc._global_cublas_handle` is used.
+        `skcuda.misc._global_cublas_handle` is used.
     ipiv_gpu : pycuda.gpuarray.GPUArray (optional)
         Temporary array of size n, can be supplied to save allocations.