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#------------------------------------------------------------------------------
# Copyright (c) 2005, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in enthought/LICENSE.txt and may be redistributed only
# under the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
# Thanks for using Enthought open source!
#
# Author: David C. Morrill
# Date: 12/13/2004
#------------------------------------------------------------------------------
""" Trait definitions related to the numpy library.
"""
#-------------------------------------------------------------------------------
# Imports:
#-------------------------------------------------------------------------------
from trait_base \
import SequenceTypes, enumerate
from trait_handlers \
import TraitHandler
from traits \
import Str, Any
from traits \
import Int as TInt
from traits \
import Float as TFloat
import warnings
#-------------------------------------------------------------------------------
# Deferred imports from numpy:
#-------------------------------------------------------------------------------
ndarray = None
asarray = None
#-------------------------------------------------------------------------------
# numpy dtype mapping:
#-------------------------------------------------------------------------------
def dtype2trait( dtype ):
""" Get the corresponding trait for a numpy dtype.
"""
import numpy
if dtype.char in numpy.typecodes['Float']:
return TFloat
elif dtype.char in numpy.typecodes['AllInteger']:
return TInt
elif dtype.char[0] == 'S':
return Str
else:
return Any
#-------------------------------------------------------------------------------
# 'TraitArray' class:
#-------------------------------------------------------------------------------
class TraitArray ( TraitHandler ):
""" Handles assignment to traits based on Numpy arrays.
"""
default_value_type = 7
#---------------------------------------------------------------------------
# Initializes the object:
#---------------------------------------------------------------------------
def __init__ ( self, dtype = None, shape = None, coerce = False,
typecode = None):
global ndarray, asarray
# Initialize module-level globals
try:
import numpy
except ImportError:
raise TraitError( "Using Array or CArray trait types requires the "
"numpy package to be installed." )
from numpy import array, asarray, ndarray, zeros
if typecode is not None:
warnings.warn("typecode is a deprecated argument; use dtype instead",
DeprecationWarning)
if dtype is not None and dtype != typecode:
raise TraitError("Inconsistent usage of the dtype and typecode "
"arguments; use dtype alone.")
else:
dtype = typecode
if dtype is not None:
try:
dtype = numpy.dtype(dtype)
except TypeError, e:
raise TraitError("could not convert %r to a numpy dtype" % dtype)
self.dtype = dtype
self.shape = shape
self.coerce = coerce
#---------------------------------------------------------------------------
# Validates that a value is legal for the trait:
#---------------------------------------------------------------------------
def validate ( self, object, name, value ):
""" Validates that a value is legal for the trait.
"""
#try:
if 1:
# Make sure the value is an array:
type_value = type( value )
if not isinstance( value, ndarray ):
if not isinstance(value, (list,tuple)):
self.error( object, name, self.repr( value ) )
if self.dtype is not None:
value = asarray(value, self.dtype)
else:
value = asarray(value)
# Make sure the array is of the right type:
if ((self.dtype is not None) and
(value.dtype != self.dtype)):
if self.coerce:
value = value.astype( self.dtype )
else:
value = asarray( value, self.dtype )
# If no shape requirements, then return the value:
trait_shape = self.shape
if trait_shape is None:
return value
# Else make sure that the value's shape is compatible:
value_shape = value.shape
if len( trait_shape ) == len( value_shape ):
for i, dim in enumerate( value_shape ):
item = trait_shape[i]
if item is not None:
if type( item ) is int:
if dim != item:
break
elif ((dim < item[0]) or
((item[1] is not None) and (dim > item[1]))):
break
else:
return value
# print "*** pass through"
#except Exception, e:
# print "*** exception:", e
self.error( object, name, self.repr( value ) )
#---------------------------------------------------------------------------
# Returns the default value constructor for the type (called from the
# trait factory):
#---------------------------------------------------------------------------
def default_value ( self, value ):
""" Returns the default value constructor for the type (called from the
trait factory).
"""
return ( self.copy_default_value,
( self.validate( None, None, value ), ), None )
#---------------------------------------------------------------------------
# Returns a copy of the default value (called from the C code on first
# reference to a trait with no current value):
#---------------------------------------------------------------------------
def copy_default_value ( self, value ):
""" Returns a copy of the default value (called from the C code on
first reference to a trait with no current value).
"""
return value.copy()
#---------------------------------------------------------------------------
# Returns descriptive information about the trait:
#---------------------------------------------------------------------------
def info ( self ):
""" Returns descriptive information about the trait.
"""
dtype = shape = ''
if self.shape is not None:
shape = []
for item in self.shape:
if item is None:
item = '*'
elif type( item ) is not int:
if item[1] is None:
item = '%d..' % item[0]
else:
item = '%d..%d' % item
shape.append( item )
shape = ' with shape %s' % ( tuple( shape ), )
if self.dtype is not None:
# FIXME: restore nicer descriptions of dtypes.
dtype = ' of %s values' % self.dtype
return 'an array%s%s' % ( dtype, shape )
#---------------------------------------------------------------------------
# Gets the trait editor associated with the trait:
#---------------------------------------------------------------------------
def get_editor ( self, trait ):
""" Gets the trait editor associated with the trait.
"""
from enthought.traits.ui.api import TupleEditor
if self.dtype is None:
traits = TFloat
else:
traits = dtype2trait(self.dtype)
return TupleEditor( traits = traits,
labels = trait.labels or [],
cols = trait.cols or 1 )
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