Removed mpi_dummy.

.gitlab-ci.yml

@@ -2,15 +2,18 @@ image: python:2.7-wheezy
 before_script:
   - pip install nose
   - pip install nose_parameterized
-  - pip install numpy 
-  - pip install cython
-  - apt-get update -qy
-  - apt-get install -y openmpi-bin libopenmpi-dev
-  - pip install mpi4py
-  - chmod +x continuous_integration/install_h5py.sh
-  - continuous_integration/install_h5py.sh
-  
-test:
+  - pip install numpy
+
+test_minimal:
   script:
-  - echo uiae
-#  - mpirun -n 2 nosetests
+  - python setup.py install
+  - nosetests
+
+#test_mpi:
+#  script:
+#  - pip install cython
+#  - apt-get update -qy
+#  - apt-get install -y openmpi-bin libopenmpi-dev
+#  - pip install mpi4py
+#  - chmod +x continuous_integration/install_h5py.sh
+#  - continuous_integration/install_h5py.sh

d2o/config/d2o_config.py

@@ -22,7 +22,7 @@ import keepers
 dependency_injector = keepers.DependencyInjector(
                                     ['h5py',
                                      ('mpi4py.MPI', 'MPI'),
-                                     ('d2o.mpi_dummy.mpi_dummy', 'MPI_dummy')]
+                                     ('mpi_dummy', 'MPI_dummy')]
                                      )
 
 dependency_injector.register('pyfftw', lambda z: hasattr(z, 'FFTW_MPI'))

d2o/mpi_dummy/__init__.py

-# D2O
-# Copyright (C) 2016  Theo Steininger
-#
-# Author: Theo Steininger
-#
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <http://www.gnu.org/licenses/>.
-
-import mpi_dummy
\ No newline at end of file

d2o/mpi_dummy/mpi_dummy.py

-# D2O
-# Copyright (C) 2016  Theo Steininger
-#
-# Author: Theo Steininger
-#
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <http://www.gnu.org/licenses/>.
-
-import copy
-import numpy as np
-
-
-class Op(object):
-    @classmethod
-    def Create(cls, function, commute=False):
-        pass
-
-MIN = Op()
-MAX = Op()
-SUM = Op()
-PROD = Op()
-LAND = Op()
-LOR = Op()
-BAND = Op()
-BOR = Op()
-
-
-class Comm(object):
-    pass
-
-
-class Intracomm(Comm):
-    def __init__(self, name):
-        if not running_single_threadedQ():
-            raise RuntimeError("ERROR: MPI_dummy module is running in a " +
-                               "mpirun with n>1.")
-        self.name = name
-        self.rank = 0
-        self.size = 1
-
-    def Get_rank(self):
-        return self.rank
-
-    def Get_size(self):
-        return self.size
-
-    def _scattergather_helper(self, sendbuf, recvbuf=None, **kwargs):
-        sendbuf = self._unwrapper(sendbuf)
-        recvbuf = self._unwrapper(recvbuf)
-        if recvbuf is not None:
-            recvbuf[:] = sendbuf
-            return recvbuf
-        else:
-            recvbuf = np.copy(sendbuf)
-            return recvbuf
-
-    def bcast(self, sendbuf, *args, **kwargs):
-        return sendbuf
-
-    def Bcast(self, sendbuf, *args, **kwargs):
-        return sendbuf
-
-    def scatter(self, sendbuf, *args, **kwargs):
-        return sendbuf[0]
-
-    def Scatter(self, *args, **kwargs):
-        return self._scattergather_helper(*args, **kwargs)
-
-    def Scatterv(self, *args, **kwargs):
-        return self._scattergather_helper(*args, **kwargs)
-
-    def gather(self, sendbuf, *args, **kwargs):
-        return [sendbuf]
-
-    def Gather(self, *args, **kwargs):
-        return self._scattergather_helper(*args, **kwargs)
-
-    def Gatherv(self, *args, **kwargs):
-        return self._scattergather_helper(*args, **kwargs)
-
-    def allgather(self, sendbuf, *args, **kwargs):
-        return [sendbuf]
-
-    def Allgather(self, *args, **kwargs):
-        return self._scattergather_helper(*args, **kwargs)
-
-    def Allgatherv(self, *args, **kwargs):
-        return self._scattergather_helper(*args, **kwargs)
-
-    def Allreduce(self, sendbuf, recvbuf, op, **kwargs):
-        sendbuf = self._unwrapper(sendbuf)
-        recvbuf = self._unwrapper(recvbuf)
-        recvbuf[:] = sendbuf
-        return recvbuf
-
-    def allreduce(self, sendobj, op=SUM, **kwargs):
-        if np.isscalar(sendobj):
-            return sendobj
-        return copy.copy(sendobj)
-
-    def sendrecv(self, sendobj, **kwargs):
-        return sendobj
-
-    def _unwrapper(self, x):
-        if isinstance(x, list):
-            return x[0]
-        else:
-            return x
-
-    def Barrier(self):
-        pass
-
-
-class _datatype():
-    def __init__(self, name):
-        self.name = str(name)
-
-
-def running_single_threadedQ():
-    try:
-        from mpi4py import MPI
-    except ImportError:
-        return True
-    else:
-        if MPI.COMM_WORLD.size != 1:
-            return False
-        else:
-            return True
-
-
-BYTE = _datatype('MPI_BYTE')
-SHORT = _datatype('MPI_SHORT')
-UNSIGNED_SHORT = _datatype("MPI_UNSIGNED_SHORT")
-UNSIGNED_INT = _datatype("MPI_UNSIGNED_INT")
-INT = _datatype("MPI_INT")
-LONG = _datatype("MPI_LONG")
-UNSIGNED_LONG = _datatype("MPI_UNSIGNED_LONG")
-LONG_LONG = _datatype("MPI_LONG_LONG")
-UNSIGNED_LONG_LONG = _datatype("MPI_UNSIGNED_LONG_LONG")
-FLOAT = _datatype("MPI_FLOAT")
-DOUBLE = _datatype("MPI_DOUBLE")
-LONG_DOUBLE = _datatype("MPI_LONG_DOUBLE")
-COMPLEX = _datatype("MPI_COMPLEX")
-DOUBLE_COMPLEX = _datatype("MPI_DOUBLE_COMPLEX")
-
-
-class _comm_wrapper(Intracomm):
-    def __init__(self, name):
-        self.cache = None
-        self.name = name
-        self.size = 1
-        self.rank = 0
-
-    @property
-    def comm(self):
-        if self.cache is None:
-            self.cache = Intracomm(self.name)
-        return self.cache
-
-    def __getattr__(self, x):
-        return self.comm.__getattribute__(x)
-
-
-COMM_WORLD = _comm_wrapper('MPI_dummy_COMM_WORLD')
-#COMM_WORLD.__class__ = COMM_WORLD.comm.__class__

setup.py

@@ -37,11 +37,12 @@ setup(
                    "computing in Python"),
     keywords = "parallelization, numerics, MPI",
     url = "https://gitlab.mpcdf.mpg.de/ift/D2O",
-    packages=['d2o', 'd2o.config', 'd2o.mpi_dummy', 'test'],
+    packages=['d2o', 'd2o.config', 'test'],
     zip_safe=False,
     dependency_links = [
-        "git+https://gitlab.mpcdf.mpg.de/ift/keepers.git#egg=keepers-0.3.4"],
-    install_requires=['keepers>=0.3.4'],
+        "git+https://gitlab.mpcdf.mpg.de/ift/keepers.git#egg=keepers-0.3.4",
+        "git+https://gitlab.mpcdf.mpg.de/ift/mpi_dummy.git#egg=mpi_dummy-1.0.0"],
+    install_requires=['keepers>=0.3.4', 'mpi_dummy>=1.0.0'],
     long_description=read('README.rst'),
     license = "GPLv3",
     classifiers=[