Implemented a configuration class and a dependency injector.

Resorted the packages and the import structure.

.gitignore

@@ -20,14 +20,17 @@ operators/*
 !operators/nifty_probing.py
 !operators/nifty_probing_old.py
 
+dummys/*
+!dummys/__init__.py
+!dummys/gfft_dummy.py
+!dummys/MPI_dummy.py
+
 
 rg/*
 !rg/__init__.py
-!rg/fft_rg.py
+!rg/nifty_fft.py
 !rg/nifty_rg.py
 !rg/nifty_power_conversion_rg.py
-!rg/gfft_rg.py
-!rg/powerspectrum.py
 
 lm/*
 !lm/__init__.py

__init__.py

@@ -22,15 +22,22 @@
 from __future__ import division
 
 import matplotlib as mpl
-#mpl.use('Agg')
+mpl.use('Agg')
+
+import dummys
+
+from keepers import about,\
+                  global_dependency_injector,\
+                  global_configuration
+
+
 
-from nifty_about import about
 from nifty_cmaps import ncmap
 from nifty_core import space,\
                     point_space,\
                     nested_space,\
                     field
-                    
+
 from nifty_mpi_data import distributed_data_object, d2o_librarian
 from nifty_power import *
 from nifty_random import random
@@ -64,13 +71,13 @@ try:
         from nifty_paradict import gl_space_paradict
     except(ImportError):
         pass
-    
+
     try:
         from lm import hp_space
         from nifty_paradict import hp_space_paradict
     except(ImportError):
         pass
-    
+
 except(ImportError):
     pass
 

demos/demo_excaliwir.py

@@ -55,7 +55,7 @@ class problem(object):
         self.z = x_space
         ## set conjugate space
         self.k = self.z.get_codomain()
-        self.k.set_power_indices(**kwargs)
+        #self.k.set_power_indices(**kwargs)
 
         ## set some power spectrum
         self.power = (lambda k: 42 / (k + 1) ** 3)
@@ -156,17 +156,24 @@ class problem(object):
         while(iterating):
 
             ## reconstruct map
-            self.m = self.D(self.j, W=self.S, tol=1E-3, note=False)
+            self.m = self.D(self.j, W=self.S, tol=1E-3, note=True)
             if(self.m is None):
                 break
-
+            print 'Reconstructed m'
             ## reconstruct power spectrum
             tr_B1 = self.Sk.pseudo_tr(self.m) ## == Sk(m).pseudo_dot(m)
+            print 'Calculated trace B1'
+            print ('tr_b1', tr_B1)
             tr_B2 = self.Sk.pseudo_tr(self.D, loop=True)
-
-            numerator = 2 * q + tr_B1 + abs(delta) * tr_B2 ## non-bare(!)
+            print 'Calculated trace B2'
+            print ('tr_B2', tr_B2)
+            numerator = 2 * q + tr_B1 +  tr_B2 * abs(delta)  ## non-bare(!)
             power = numerator / denominator
-
+            print ('numerator', numerator)
+            print ('denominator', denominator)
+            print ('power', power)
+            print 'Calculated power'
+            power = np.clip(power, 0.1, np.max(power))
             ## check convergence
             dtau = log(power / self.S.get_power(), base=self.S.get_power())
             iterating = (np.max(np.abs(dtau)) > 2E-2)
@@ -200,36 +207,39 @@ class problem(object):
 ##=============================================================================
 
 ##-----------------------------------------------------------------------------
-
+#
 if(__name__=="__main__"):
-#    pl.close("all")
-
-    ## define signal space
-    x_space = rg_space(128)
-
-    ## setup problem
-    p = problem(x_space, log=True)
-    ## solve problem given some power spectrum
-    p.solve()
-    ## solve problem
-    p.solve_critical()
-
-    p.plot()
-
-    ## retrieve objects
-    k_space = p.k
-    power = p.power
-    S = p.S
-    Sk = p.Sk
-    s = p.s
-    R = p.R
-    d_space = p.R.target
-    N = p.N
-    Nj = p.Nj
-    d = p.d
-    j = p.j
-    D = p.D
-    m = p.m
+    x = rg_space((128,))
+    p = problem(x, log = False)
+    about.warnings.off()
+##    pl.close("all")
+#
+#    ## define signal space
+#    x_space = rg_space(128)
+#
+#    ## setup problem
+#    p = problem(x_space, log=True)
+#    ## solve problem given some power spectrum
+#    p.solve()
+#    ## solve problem
+#    p.solve_critical()
+#
+#    p.plot()
+#
+#    ## retrieve objects
+#    k_space = p.k
+#    power = p.power
+#    S = p.S
+#    Sk = p.Sk
+#    s = p.s
+#    R = p.R
+#    d_space = p.R.target
+#    N = p.N
+#    Nj = p.Nj
+#    d = p.d
+#    j = p.j
+#    D = p.D
+#    m = p.m
 
 ##-----------------------------------------------------------------------------
 

demos/demo_wf1.py

@@ -33,16 +33,16 @@
 """
 from __future__ import division
 from nifty import *                                              # version 0.8.0
-about.warnings.on()
+about.warnings.off()
 
 # some signal space; e.g., a two-dimensional regular grid
-x_space = rg_space([1280, 1280], datamodel = 'd2o')                                   # define signal space
+x_space = rg_space([1280, 1280])                                   # define signal space
 #x_space = rg_space(512)
 #x_space = hp_space(32)
 #x_space = gl_space(96)
 
 k_space = x_space.get_codomain()                                 # get conjugate space
-y_space = point_space(1280*1280, datamodel='d2o')
+y_space = point_space(1280*1280)
 
 # some power spectrum
 power = (lambda k: 42 / (k + 1) ** 3)
@@ -58,7 +58,7 @@ N = diagonal_operator(d_space, diag=s.var(), bare=True)          # define noise
 n = N.get_random_field(domain=d_space)                           # generate noise
 
 
-d = R(s) + n                                                     # compute data
+d = R(s) #+ n                                                     # compute data
 
 j = R.adjoint_times(N.inverse_times(d))                          # define information source
 D = propagator_operator(S=S, N=N, R=R)                           # define information propagator

mpi_dummy.py → dummys/MPI_dummy.py

@@ -4,12 +4,12 @@ import numpy as np
 
 def MIN():
     return np.min
-    
+
 def MAX():
     return np.max
-    
+
 def SUM():
-    return np.sum    
+    return np.sum
 
 
 
@@ -17,41 +17,41 @@ class _COMM_WORLD():
     def __init__(self):
         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 != None:        
+        if recvbuf != 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)
 
@@ -60,30 +60,30 @@ class _COMM_WORLD():
 
     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):
         recvbuf[:] = op(sendbuf)
         return recvbuf
-        
+
     def allreduce(self, sendbuf, recvbuf, op, **kwargs):
         recvbuf[:] = op(sendbuf)
         return recvbuf
 
     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
 
@@ -91,7 +91,7 @@ class _datatype():
     def __init__(self, name):
         self.name = str(name)
 
-BYTE = _datatype('MPI_BYTE')        
+BYTE = _datatype('MPI_BYTE')
 SHORT = _datatype('MPI_SHORT')
 UNSIGNED_SHORT = _datatype("MPI_UNSIGNED_SHORT")
 UNSIGNED_INT = _datatype("MPI_UNSIGNED_INT")
@@ -106,17 +106,16 @@ LONG_DOUBLE = _datatype("MPI_LONG_DOUBLE")
 COMPLEX = _datatype("MPI_COMPLEX")
 DOUBLE_COMPLEX = _datatype("MPI_DOUBLE_COMPLEX")
 
-        
+
 COMM_WORLD = _COMM_WORLD()
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
-        
\ No newline at end of file
+
+
+
+
+
+
+
+
+
+
+

dummys/__init__.py

+# -*- coding: utf-8 -*-
+
+import gfft_dummy
+import MPI_dummy
\ No newline at end of file

keepers/__init__.py

+# -*- coding: utf-8 -*-
+
+from nifty_about import *
+from nifty_default_config import global_dependency_injector,\
+                                 global_configuration
\ No newline at end of file

nifty_about.py → keepers/nifty_about.py

@@ -326,6 +326,8 @@ class notification(switch):
 
 ##-----------------------------------------------------------------------------
 
+
+
 class _about(object): ## nifty support class for global settings
     """
         NIFTY support class for global settings.
@@ -389,9 +391,9 @@ class _about(object): ## nifty support class for global settings
         self._version = str(__version__)
 
         ## switches and notifications
-        self._errors = notification(default=True, 
+        self._errors = notification(default=True,
                                     ccode=notification._code)
-        self.warnings = notification(default=True, 
+        self.warnings = notification(default=True,
                                      ccode=notification._code)
         self.infos =  notification(default=False,
                                    ccode=notification._code)
@@ -486,7 +488,7 @@ class _about(object): ## nifty support class for global settings
 
 ## set global instance
 about = _about()
-about.load_config(force=False)
-about.infos.cprint("INFO: "+about.__repr__())
+#about.load_config(force=False)
+#about.infos.cprint("INFO: "+about.__repr__())
 
 

keepers/nifty_configuration.py

+# -*- coding: utf-8 -*-
+
+import ConfigParser
+
+class variable(object):
+    def __init__(self, name, default_value_list, checker, genus='str'):
+        self.name = str(name)
+        if genus in ['str', 'int', 'float', 'boolean']:
+            self.genus = str(genus)
+        if not isinstance(default_value_list, list):
+            raise ValueError("The default_value_list argument must be a list!")
+        elif len(default_value_list) == 0:
+            default_value_list = [None]
+        self.default_value_list = default_value_list
+
+        if callable(checker):
+            self.checker = checker
+        else:
+            raise ValueError("The checker must be callable!")
+
+        self.set_value(None)
+
+    def set_value(self, value=None):
+        if value is None:
+            work_list = self.default_value_list
+        else:
+            work_list = [value]
+        success = False
+        for item in work_list:
+            if self.checker(item):
+                valid_item = item
+                success = True
+                break
+        if not success:
+            raise ValueError("No valid value supplied!" + str(work_list))
+        else:
+            self.value = valid_item
+            return self.value
+
+    def __call__(self):
+        return self.get_value()
+
+    def get_value(self):
+        return self.value
+
+    def get_name(self):
+        return self.name
+
+    def __repr__(self):
+        return "<nifty variable '" + str(self.name) + "': " + \
+               str(self.get_value()) + ">"
+
+
+class configuration(object):
+    """
+    configuration
+    init with file path to configuration file
+    get command -> dictionary like
+    set command -> parse input for sanity
+    reset -> reset to defaults
+    load from file
+    save to file
+    """
+    def __init__(self, variables=[], path=None, path_section='DEFAULT'):
+        self.variable_dict = {}
+        map(self.register, variables)
+
+        self.path = None
+        self.set_path(path=path, path_section=path_section)
+        try:
+            self.load()
+        except ValueError:
+            pass
+
+    def __getitem__(self, key):
+        return self.get_variable(key)
+
+    def __setitem__(self, key, value):
+        return self.set_variable(key, value)
+
+    def register(self, variable):
+        self.variable_dict[variable.get_name()] = variable
+
+    def get_variable(self, name):
+        try:
+            return self.variable_dict[name].get_value()
+        except KeyError:
+            raise KeyError("The requested variable  is not registered!")
+
+    def set_variable(self, name, value):
+        try:
+            return self.variable_dict[name].set_value(value)
+        except KeyError:
+            raise KeyError("The requested variable  is not registered!")
+
+    def set_path(self, path=None, path_section=None):
+        if path is not None:
+            self.path = str(path)
+        if path_section is not None:
+            self.path_section = str(path_section)
+
+    def reset(self):
+        for key, item in self.variable_dict.items():
+            item.set_value(None)
+
+    def save(self, path=None, path_section=None):
+        if path is None:
+            if self.path is None:
+                raise ValueError("No init- or keyword-path available.")
+            else:
+                path = self.path
+        else:
+            path = path
+
+        if path_section is None:
+            path_section = self.path_section
+
+        config_parser = ConfigParser.ConfigParser()
+        try:
+            config_parser.add_section(path_section)
+        except ValueError:
+            pass
+
+        for item in self.variable_dict:
+            config_parser.set(path_section,
+                              item,
+                              str(self[item]))
+        config_file = open(path, 'wb')
+        config_parser.write(config_file)
+
+    def load(self, path=None, path_section=None):
+        if path is None:
+            if self.path is None:
+                raise ValueError("No init- or keyword-path available.")
+            else:
+                path = self.path
+        else:
+            path = path
+
+        if path_section is None:
+            path_section = self.path_section
+
+        config_parser = ConfigParser.ConfigParser()
+        config_parser.read(path)
+
+        for key, item in self.variable_dict.items():
+            if item.genus == 'str':
+                temp_value = config_parser.get(path_section, item.name)
+            elif item.genus == 'int':
+                temp_value = config_parser.getint(path_section, item.name)
+            elif item.genus == 'float':
+                temp_value = config_parser.getfloat(path_section, item.name)
+            elif item.genus == 'boolean':
+                temp_value = config_parser.getboolean(path_section, item.name)
+            else:
+                raise ValueError("Unknown variable genus.")
+
+            item.set_value(temp_value)
+
+    def __repr__(self):
+        return "<nifty configuration> \n" + self.variable_dict.__repr__()
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

keepers/nifty_default_config.py

+# -*- coding: utf-8 -*-
+
+import os
+
+from nifty_dependency_injector import dependency_injector
+from nifty_configuration import variable,\
+                                configuration
+
+global_dependency_injector = dependency_injector(
+                                   ['h5py',
+                                    ('mpi4py.MPI', 'MPI'),
+                                    ('nifty.dummys.MPI_dummy', 'MPI_dummy'),
+                                    'pyfftw',
+                                    'gfft',
+                                    ('nifty.dummys.gfft_dummy', 'gfft_dummy'),
+                                    'healpy',
+                                    'libsharp_wrapper_gl'])
+
+variable_fft_module = variable('fft_module',
+                               ['pyfftw', 'gfft', 'gfft_fallback'],
+                               lambda z: z in global_dependency_injector)
+
+variable_lm2gl = variable('lm2gl',
+                          [True, False],
+                          lambda z: z is True or z is False,
+                          'boolean')
+
+variable_verbosity = variable('verbosity',
+                              [1],
+                              lambda z: z == abs(int(z)),
+                              'int')
+
+variable_mpi_module = variable('mpi_module',
+                               ['MPI', 'MPI_dummy'],
+                               lambda z: z in global_dependency_injector)
+
+variable_default_distribution_strategy = variable(
+                            'default_distribution_strategy',
+                            ['fftw', 'equal', 'not'],
+                            lambda z: (('pyfftw' in global_dependency_injector)
+                                       if (z == 'pyfftw') else True)
+                                                  )
+
+global_configuration = configuration(
+                     [variable_fft_module,
+                      variable_lm2gl,
+                      variable_verbosity,
+                      variable_mpi_module,
+                      variable_default_distribution_strategy
+                      ],
+                     path=os.path.expanduser('~') + "/.nifty/global_config")

keepers/nifty_dependency_injector.py

+# -*- coding: utf-8 -*-