def _initialise_math(self):
"""
Detect math routines
"""
if NumpySupport():
# Use numpy if we can, as the math calls are performance critical
self._cos = numpy.cos
self._sin = numpy.sin
self._atan = numpy.arctan
self._atan2 = numpy.arctan2
else:
# Otherwise, fall back to math
debug.deprint("Warning: Unable to use numpy module in Lomb-Scargle periodogram")
self._cos = math.cos
self._sin = math.sin
self._atan = math.atan
self._atan2 = math.atan2
return
def _initialise_math(self):
"""
Detect math routines
"""
if NumpySupport():
# Use numpy if we can, as the math calls are performance critical
self._cos = numpy.cos
self._sin = numpy.sin
self._atan = numpy.arctan
self._atan2 = numpy.arctan2
else:
# Otherwise, fall back to math
debug.deprint(
"Warning: Unable to use numpy module in Lomb-Scargle periodogram"
)
self._cos = math.cos
self._sin = math.sin
self._atan = math.atan
self._atan2 = math.atan2
return
def ParseRawS(s, delimiter):
newS = {}
for key1 in s.keys():
assert(not key1 in ["val", "value"])
if isinstance(s[key1], dict):
if len(s[key1].keys()) == 1 and s[key1].keys()[0] in ["val", "value"]:
newS[str(key1)] = s[key1][s[key1].keys()[0]]
else:
subS = ParseRawS(s[key1], delimiter)
newS[str(key1)] = {}
for key2 in subS.keys():
newS[str(key1)][str(key2)] = subS[key2]
else:
rank = len(s[key1].shape)
if rank > 1:
assert(rank == 2)
if includeMc:
# Add in this vector
# parser gives this in an inconvenient matrix order. Take the
# transpose here to make life easier.
newS[str(key1)] = s[key1].transpose()
# Add in the vector field components
for i in range(len(s[key1])):
newS[str(key1) + delimiter + str(i + 1)] = s[key1][i]
else:
try:
# Add in this scalar
newS[str(key1)] = s[key1]
except TypeError:
debug.deprint("Type error for data " + str(s[key1]), 0)
raise Exception("ParseRawS failure")
except ValueError:
debug.deprint("Value error for data " + str(s[key1]), 0)
raise Exception("ParseRawS failure")
return newS
import os
import unittest
import buckettools.diagnostics.debug as debug
import buckettools.diagnostics.optimise as optimise
import buckettools.diagnostics.utils as utils
def GuiDisabledByEnvironment():
return "DIAGNOSTICS_GUI_DISABLED" in os.environ and os.environ["DIAGNOSTICS_GUI_DISABLED"]
if not GuiDisabledByEnvironment():
try:
import gobject
except:
debug.deprint("Warning: Failed to import gobject module")
try:
import gtk
except:
debug.deprint("Warning: Failed to import gtk module")
def DisplayWindow(window):
"""
Launch the GTK main loop to display the supplied window
"""
window.connect("destroy", gtk.main_quit)
window.show()
gtk.main()
return
# You should have received a copy of the GNU Lesser General Public License
# along with TerraFERMA. If not, see <http://www.gnu.org/licenses/>.
"""
Some mathematical routines
"""
import copy
import math
import unittest
import buckettools.diagnostics.debug as debug
try:
import numpy
except ImportError:
debug.deprint("Warning: Failed to import numpy module")
try:
import scipy.linalg
except ImportError:
debug.deprint("Warning: Failed to import scipy.linalg module")
try:
import scipy.stats
except ImportError:
debug.deprint("Warning: Failed to import scipy.stats module")
try:
import vtk
except ImportError:
debug.deprint("Warning: Failed to import vtk module")
import buckettools.diagnostics.optimise as optimise
import buckettools.diagnostics.utils as utils
Graph plotting utilities
"""
import os
import tempfile
import unittest
import buckettools.diagnostics.debug as debug
import buckettools.diagnostics.gui as gui
import buckettools.diagnostics.utils as utils
if not gui.GuiDisabledByEnvironment():
try:
import matplotlib
except ImportError:
debug.deprint("Warning: Failed to import matplotlib module")
def MatplotlibSupport():
return "matplotlib" in globals()
if MatplotlibSupport():
matplotlib.use("Cairo")
try:
import matplotlib.backends.backend_gtk
except:
debug.deprint(
"Warning: Failed to import matplotlib.backends.backend_gtk module")
if not gui.GuiDisabledByEnvironment():
"""
Some mathematical routines
"""
import copy
import math
import unittest
import buckettools.diagnostics.debug as debug
try:
import numpy
except ImportError:
debug.deprint("Warning: Failed to import numpy module")
try:
import scipy.linalg
except ImportError:
debug.deprint("Warning: Failed to import scipy.linalg module")
try:
import scipy.stats
except ImportError:
debug.deprint("Warning: Failed to import scipy.stats module")
try:
import vtk
except ImportError:
debug.deprint("Warning: Failed to import vtk module")
import buckettools.diagnostics.optimise as optimise
import buckettools.diagnostics.utils as utils
Graph plotting utilities
"""
import os
import tempfile
import unittest
import buckettools.diagnostics.debug as debug
import buckettools.diagnostics.gui as gui
import buckettools.diagnostics.utils as utils
if not gui.GuiDisabledByEnvironment():
try:
import matplotlib
except ImportError:
debug.deprint("Warning: Failed to import matplotlib module")
def MatplotlibSupport():
return "matplotlib" in globals()
if MatplotlibSupport():
matplotlib.use("Cairo")
try:
import matplotlib.backends.backend_gtk
except:
debug.deprint("Warning: Failed to import matplotlib.backends.backend_gtk module")
if not gui.GuiDisabledByEnvironment():
try:
import gtk
except:
