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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
# Original Date: 06/21/2002
#
# Rewritten as a C-based type extension: 06/21/2004
#
#------------------------------------------------------------------------------
"""
Defines the 'core' traits for the Traits package. A trait is a type definition
that can be used for normal Python object attributes, giving the attributes
some additional characteristics:
Initialization:
Traits have predefined values that do not need to be explicitly
initialized in the class constructor or elsewhere.
Validation:
Trait attributes have flexible, type-checked values.
Delegation:
Trait attributes' values can be delegated to other objects.
Notification:
Trait attributes can automatically notify interested parties when
their values change.
Visualization:
Trait attributes can automatically construct (automatic or
programmer-defined) user interfaces that allow their values to be
edited or displayed)
.. note:: 'trait' is a synonym for 'property', but is used instead of the
word 'property' to differentiate it from the Python language 'property'
feature.
"""
#-------------------------------------------------------------------------------
# Imports:
#-------------------------------------------------------------------------------
from __future__ import absolute_import
import sys
from types import FunctionType, MethodType
NoneType = type(None) # Python 3's types does not include NoneType
from . import trait_handlers
from .ctraits import cTrait
from .trait_errors import TraitError
from .trait_base import (SequenceTypes, Self, Undefined, Missing, TypeTypes,
add_article)
from .trait_handlers import (TraitHandler, TraitInstance, TraitFunction,
TraitCoerceType, TraitCastType, TraitEnum, TraitCompound, TraitMap,
TraitString, ThisClass, TraitType, _arg_count, _read_only, _write_only,
_undefined_get, _undefined_set)
#-------------------------------------------------------------------------------
# Constants:
#-------------------------------------------------------------------------------
# Mapping from 'ctrait' default value types to a string representation:
KindMap = {
0: 'value',
1: 'value',
2: 'self',
3: 'list',
4: 'dict',
5: 'list',
6: 'dict',
7: 'factory',
8: 'method'
}
#-------------------------------------------------------------------------------
# Editor factory functions:
#-------------------------------------------------------------------------------
PasswordEditor = None
MultilineTextEditor = None
BytesEditors = {}
SourceCodeEditor = None
HTMLTextEditor = None
PythonShellEditor = None
DateEditor = None
TimeEditor = None
def password_editor ( auto_set=True, enter_set=False ):
""" Factory function that returns an editor for passwords.
"""
global PasswordEditor
if PasswordEditor is None:
from traitsui.api import TextEditor
PasswordEditor = TextEditor( password = True ,
auto_set = auto_set,
enter_set = enter_set )
return PasswordEditor
def multi_line_text_editor ( auto_set=True, enter_set=False ):
""" Factory function that returns a text editor for multi-line strings.
"""
global MultilineTextEditor
if MultilineTextEditor is None:
from traitsui.api import TextEditor
MultilineTextEditor = TextEditor( multi_line = True,
auto_set = auto_set,
enter_set = enter_set )
return MultilineTextEditor
def bytes_editor(auto_set=True, enter_set=False, encoding=None):
""" Factory function that returns a text editor for bytes.
"""
global BytesEditors
if encoding is not None:
if isinstance(encoding, str):
import codecs
encoding = codecs.lookup(encoding)
if (auto_set, enter_set, encoding) not in BytesEditors:
from traitsui.api import TextEditor
if encoding is None:
# py3-compatible bytes <-> hex unicode string
format = lambda b: b.encode('hex').decode('ascii')
evaluate = lambda s: s.encode('ascii').decode('hex')
else:
format = encoding.decode
evaluate = encoding.encode
BytesEditors[(auto_set, enter_set, encoding)] = TextEditor(
multi_line=True,
format_func=format,
evaluate=evaluate,
auto_set=auto_set,
enter_set=enter_set
)
return BytesEditors[(auto_set, enter_set, encoding)]
def code_editor ( ):
""" Factory function that returns an editor that treats a multi-line string
as source code.
"""
global SourceCodeEditor
if SourceCodeEditor is None:
from traitsui.api import CodeEditor
SourceCodeEditor = CodeEditor()
return SourceCodeEditor
def html_editor ( ):
""" Factory function for an "editor" that displays a multi-line string as
interpreted HTML.
"""
global HTMLTextEditor
if HTMLTextEditor is None:
from traitsui.api import HTMLEditor
HTMLTextEditor = HTMLEditor()
return HTMLTextEditor
def shell_editor ( ):
""" Factory function that returns a Python shell for editing Python values.
"""
global PythonShellEditor
if PythonShellEditor is None:
from traitsui.api import ShellEditor
PythonShellEditor = ShellEditor()
return PythonShellEditor
def time_editor ( ):
""" Factory function that returns a Time editor for editing Time values.
"""
global TimeEditor
if TimeEditor is None:
from traitsui.api import TimeEditor
TimeEditor = TimeEditor()
return TimeEditor
def date_editor ( ):
""" Factory function that returns a Date editor for editing Date values.
"""
global DateEditor
if DateEditor is None:
from traitsui.api import DateEditor
DateEditor = DateEditor()
return DateEditor
#-------------------------------------------------------------------------------
# 'CTrait' class (extends the underlying cTrait c-based type):
#-------------------------------------------------------------------------------
class CTrait ( cTrait ):
""" Extends the underlying C-based cTrait type.
"""
#---------------------------------------------------------------------------
# Allows a derivative trait to be defined from this one:
#---------------------------------------------------------------------------
def __call__ ( self, *args, **metadata ):
handler = self.handler
if isinstance( handler, TraitType ):
dict = (self.__dict__ or {}).copy()
dict.update( metadata )
return handler( *args, **dict )
metadata.setdefault( 'parent', self )
return Trait( *(args + ( self, )), **metadata )
#---------------------------------------------------------------------------
# (Python) property definitions:
#---------------------------------------------------------------------------
def __get_default ( self ):
kind, value = self.default_value()
if kind in ( 2, 7, 8 ):
return Undefined
if kind in ( 4, 6 ):
return value.copy()
if kind in ( 3, 5 ):
return value[:]
return value
default = property( __get_default )
def __get_default_kind ( self ):
return KindMap[ self.default_value()[0] ]
default_kind = property( __get_default_kind )
def __get_trait_type ( self ):
handler = self.handler
if handler is not None:
return handler
else:
from .trait_types import Any
return Any
trait_type = property( __get_trait_type )
def __get_inner_traits ( self ):
handler = self.handler
if handler is not None:
return handler.inner_traits()
return ()
inner_traits = property( __get_inner_traits )
#---------------------------------------------------------------------------
# Returns whether or not this trait is of a specified trait type:
#---------------------------------------------------------------------------
def is_trait_type ( self, trait_type ):
""" Returns whether or not this trait is of a specified trait type.
"""
return isinstance( self.trait_type, trait_type )
#---------------------------------------------------------------------------
# Returns the user interface editor associated with the trait:
#---------------------------------------------------------------------------
def get_editor ( self ):
""" Returns the user interface editor associated with the trait.
"""
from traitsui.api import EditorFactory
# See if we have an editor:
editor = self.editor
if editor is None:
# Else see if the trait handler has an editor:
handler = self.handler
if handler is not None:
editor = handler.get_editor( self )
# If not, give up and use a default text editor:
if editor is None:
from traitsui.api import TextEditor
editor = TextEditor
# If the result is not an EditorFactory:
if not isinstance( editor, EditorFactory ):
# Then it should be a factory for creating them:
args = ()
traits = {}
if type( editor ) in SequenceTypes:
for item in editor[:]:
if type( item ) in SequenceTypes:
args = tuple( item )
elif isinstance( item, dict ):
traits = item
if traits.get( 'trait', 0 ) is None:
traits = traits.copy()
traits[ 'trait' ] = self
else:
editor = item
editor = editor( *args, **traits )
# Cache the result:
self.editor = editor
# Return the resulting EditorFactory object:
return editor
#---------------------------------------------------------------------------
# Returns the help text for a trait:
#---------------------------------------------------------------------------
def get_help ( self, full = True ):
""" Returns the help text for a trait.
Parameters
----------
full : bool
Indicates whether to return the value of the *help* attribute of
the trait itself.
Description
-----------
If *full* is False or the trait does not have a **help** string,
the returned string is constructed from the **desc** attribute on the
trait and the **info** string on the trait's handler.
"""
if full:
help = self.help
if help is not None:
return help
handler = self.handler
if handler is not None:
info = 'must be %s.' % handler.info()
else:
info = 'may be any value.'
desc = self.desc
if self.desc is None:
return info.capitalize()
return 'Specifies %s and %s' % ( desc, info )
#---------------------------------------------------------------------------
# Returns a description of the trait:
#---------------------------------------------------------------------------
def full_info ( self, object, name, value ):
""" Returns a description of the trait.
"""
handler = self.handler
if handler is not None:
return handler.full_info( object, name, value )
return 'any value'
#---------------------------------------------------------------------------
# Returns a description of the trait:
#---------------------------------------------------------------------------
def info ( self ):
""" Returns a description of the trait.
"""
handler = self.handler
if handler is not None:
return handler.info()
return 'any value'
#---------------------------------------------------------------------------
# Returns the pickleable form of a CTrait object:
#---------------------------------------------------------------------------
def __reduce_ex__ ( self, protocol ):
return ( __newobj__, ( self.__class__, 0 ), self.__getstate__() )
#---------------------------------------------------------------------------
# Registers listeners on an assigned 'TraitValue' object's 'value'
# property:
#---------------------------------------------------------------------------
def _register ( self, object, name ):
""" Registers listeners on an assigned 'TraitValue' object's 'value'
property.
"""
def handler ( ):
object.trait_property_changed( name, None )
tv = self._trait_value
handlers = tv._handlers
if handlers is None:
tv._handlers = handlers = {}
handlers[ ( id( object ), name ) ] = handler
tv.on_trait_change( handler, 'value' )
#---------------------------------------------------------------------------
# Unregisters listeners on an assigned 'TraitValue' object's 'value'
# property:
#---------------------------------------------------------------------------
def _unregister ( self, object, name ):
""" Unregisters listeners on an assigned 'TraitValue' object's 'value'
property.
"""
tv = self._trait_value
handlers = tv._handlers
key = ( id( object ), name )
handler = handlers.get( key )
if handler is not None:
del handlers[ key ]
tv.on_trait_change( handler, 'value', remove = True )
# Make sure the Python-level version of the trait class is known to all
# interested parties:
from . import ctraits
ctraits._ctrait( CTrait )
#-------------------------------------------------------------------------------
# Constants:
#-------------------------------------------------------------------------------
ConstantTypes = ( NoneType, int, long, float, complex, str, unicode )
PythonTypes = ( str, unicode, int, long, float, complex, list, tuple,
dict, FunctionType, MethodType, type, NoneType )
if sys.version_info[0] < 3:
from types import InstanceType,ClassType
PythonTypes = PythonTypes[:-2] + (InstanceType,ClassType) + PythonTypes[2:]
CallableTypes = ( FunctionType, MethodType )
TraitTypes = ( TraitHandler, CTrait )
DefaultValues = {
str: '',
unicode: u'',
int: 0,
long: 0L,
float: 0.0,
complex: 0j,
list: [],
tuple: (),
dict: {},
bool: False
}
DefaultValueSpecial = [ Missing, Self ]
DefaultValueTypes = [ list, dict ]
#-------------------------------------------------------------------------------
# Function used to unpickle new-style objects:
#-------------------------------------------------------------------------------
def __newobj__ ( cls, *args ):
""" Unpickles new-style objects.
"""
return cls.__new__( cls, *args )
#-------------------------------------------------------------------------------
# Returns the type of default value specified:
#-------------------------------------------------------------------------------
def _default_value_type ( default_value ):
try:
return DefaultValueSpecial.index( default_value ) + 1
except:
try:
return DefaultValueTypes.index( type( default_value ) ) + 3
except:
return 0
#-------------------------------------------------------------------------------
# 'TraitFactory' class:
#-------------------------------------------------------------------------------
class TraitFactory ( object ):
### Need a docstring here.
#---------------------------------------------------------------------------
# Initializes the object:
#---------------------------------------------------------------------------
def __init__ ( self, maker_function = None ):
if maker_function is not None:
self.maker_function = maker_function
self.__doc__ = maker_function.__doc__
#---------------------------------------------------------------------------
# Creates a CTrait instance:
#---------------------------------------------------------------------------
def __call__ ( self, *args, **metadata ):
return self.maker_function( *args, **metadata )
class TraitImportError ( TraitFactory ):
""" Defines a factory class for deferring import problems until encountering
code that actually tries to use the unimportable trait.
"""
#---------------------------------------------------------------------------
# Initializes the object:
#---------------------------------------------------------------------------
def __init__ ( self, message ):
self.message = message
#---------------------------------------------------------------------------
# Creates a CTrait instance:
#---------------------------------------------------------------------------
def __call__ ( self, *args, **metadata ):
raise TraitError( self.message )
#-------------------------------------------------------------------------------
# Returns a trait created from a TraitFactory instance:
#-------------------------------------------------------------------------------
_trait_factory_instances = {}
def trait_factory ( trait ):
global _trait_factory_instances
tid = id( trait )
if tid not in _trait_factory_instances:
_trait_factory_instances[ tid ] = trait()
return _trait_factory_instances[ tid ]
#-------------------------------------------------------------------------------
# Casts a CTrait or TraitFactory to a CTrait but returns None if it is neither:
#-------------------------------------------------------------------------------
def trait_cast ( something ):
""" Casts a CTrait, TraitFactory or TraitType to a CTrait but returns None
if it is none of those.
"""
if isinstance( something, CTrait ):
return something
if isinstance( something, TraitFactory ):
return trait_factory( something )
if isinstance( something, type ) and issubclass( something, TraitType ):
return something().as_ctrait()
if isinstance( something, TraitType ):
return something.as_ctrait()
return None
#-------------------------------------------------------------------------------
# Attempts to cast a value to a trait. Returns either a trait or the original
# value:
#-------------------------------------------------------------------------------
def try_trait_cast ( something ):
""" Attempts to cast a value to a trait. Returns either a trait or the
original value.
"""
return trait_cast( something ) or something
#-------------------------------------------------------------------------------
# Returns a trait derived from its input:
#-------------------------------------------------------------------------------
def trait_from ( something ):
""" Returns a trait derived from its input.
"""
from .trait_types import Any
if isinstance( something, CTrait ):
return something
if something is None:
something = Any
if isinstance( something, TraitFactory ):
return trait_factory( something )
if isinstance( something, type ) and issubclass( something, TraitType ):
return something().as_ctrait()
if isinstance( something, TraitType ):
return something.as_ctrait()
return Trait( something )
# Patch the reference to 'trait_from' in 'trait_handlers.py':
trait_handlers.trait_from = trait_from
#--- 'instance' traits ---------------------------------------------------------
class _InstanceArgs ( object ):
def __init__ ( self, factory, args, kw ):
self.args = ( factory, ) + args
self.kw = kw
#--- 'creates a run-time default value' ----------------------------------------
class Default ( object ):
""" Generates a value the first time it is accessed.
A Default object can be used anywhere a default trait value would normally
be specified, to generate a default value dynamically.
"""
def __init__ ( self, func = None, args = (), kw = None ):
self.default_value = ( func, args, kw )
#-------------------------------------------------------------------------------
# Factory function for creating C-based traits:
#-------------------------------------------------------------------------------
def Trait ( *value_type, **metadata ):
""" Creates a trait definition.
Parameters
----------
This function accepts a variety of forms of parameter lists:
+-------------------+---------------+-------------------------------------+
| Format | Example | Description |
+===================+===============+=====================================+
| Trait(*default*) | Trait(150.0) | The type of the trait is inferred |
| | | from the type of the default value, |
| | | which must be in *ConstantTypes*. |
+-------------------+---------------+-------------------------------------+
| Trait(*default*, | Trait(None, | The trait accepts any of the |
| *other1*, | 0, 1, 2, | enumerated values, with the first |
| *other2*, ...) | 'many') | value being the default value. The |
| | | values must be of types in |
| | | *ConstantTypes*, but they need not |
| | | be of the same type. The *default* |
| | | value is not valid for assignment |
| | | unless it is repeated later in the |
| | | list. |
+-------------------+---------------+-------------------------------------+
| Trait([*default*, | Trait([None, | Similar to the previous format, but |
| *other1*, | 0, 1, 2, | takes an explicit list or a list |
| *other2*, ...]) | 'many']) | variable. |
+-------------------+---------------+-------------------------------------+
| Trait(*type*) | Trait(Int) | The *type* parameter must be a name |
| | | of a Python type (see |
| | | *PythonTypes*). Assigned values |
| | | must be of exactly the specified |
| | | type; no casting or coercion is |
| | | performed. The default value is the |
| | | appropriate form of zero, False, |
| | | or emtpy string, set or sequence. |
+-------------------+---------------+-------------------------------------+
| Trait(*class*) |:: | Values must be instances of *class* |
| | | or of a subclass of *class*. The |
| | class MyClass:| default value is None, but None |
| | pass | cannot be assigned as a value. |
| | foo = Trait( | |
| | MyClass) | |
+-------------------+---------------+-------------------------------------+
| Trait(None, |:: | Similar to the previous format, but |
| *class*) | | None *can* be assigned as a value. |
| | class MyClass:| |
| | pass | |
| | foo = Trait( | |
| | None, MyClass)| |
+-------------------+---------------+-------------------------------------+
| Trait(*instance*) |:: | Values must be instances of the |
| | | same class as *instance*, or of a |
| | class MyClass:| subclass of that class. The |
| | pass | specified instance is the default |
| | i = MyClass() | value. |
| | foo = | |
| | Trait(i) | |
+-------------------+---------------+-------------------------------------+
| Trait(*handler*) | Trait( | Assignment to this trait is |
| | TraitEnum ) | validated by an object derived from |
| | | **traits.TraitHandler**. |
+-------------------+---------------+-------------------------------------+
| Trait(*default*, | Trait(0.0, 0.0| This is the most general form of |
| { *type* | | 'stuff', | the function. The notation: |
| *constant* | | TupleType) | ``{...|...|...}+`` means a list of |
| *dict* | *class* || | one or more of any of the items |
| *function* | | | listed between the braces. Thus, the|
| *handler* | | | most general form of the function |
| *trait* }+ ) | | consists of a default value, |
| | | followed by one or more of several |
| | | possible items. A trait defined by |
| | | multiple items is called a |
| | | "compound" trait. |
+-------------------+---------------+-------------------------------------+
All forms of the Trait function accept both predefined and arbitrary
keyword arguments. The value of each keyword argument becomes bound to the
resulting trait object as the value of an attribute having the same name
as the keyword. This feature lets you associate metadata with a trait.
The following predefined keywords are accepted:
Keywords
--------
desc : str
Describes the intended meaning of the trait. It is used in
exception messages and fly-over help in user interfaces.
label : str
Provides a human-readable name for the trait. It is used to label user
interface editors for traits.
editor : traits.api.Editor
Instance of a subclass Editor object to use when creating a user
interface editor for the trait. See the "Traits UI User Guide" for
more information on trait editors.
comparison_mode : int
Indicates when trait change notifications should be generated based upon
the result of comparing the old and new values of a trait assignment:
* 0 (NO_COMPARE): The values are not compared and a trait change
notification is generated on each assignment.
* 1 (OBJECT_IDENTITY_COMPARE): A trait change notification is
generated if the old and new values are not the same object.
* 2 (RICH_COMPARE): A trait change notification is generated if the
old and new values are not equal using Python's
'rich comparison' operator. This is the default.
rich_compare : bool
Indicates whether the basis for considering a trait attribute value to
have changed is a "rich" comparison (True, the default), or simple
object identity (False). This attribute can be useful in cases
where a detailed comparison of two objects is very expensive, or where
you do not care whether the details of an object change, as long as the
same object is used.
.. deprecated:: 3.0.3
Use ``comparison_mode`` instead
"""
return _TraitMaker( *value_type, **metadata ).as_ctrait()
# Handle circular module dependencies:
trait_handlers.Trait = Trait
#-------------------------------------------------------------------------------
# '_TraitMaker' class:
#-------------------------------------------------------------------------------
class _TraitMaker ( object ):
# Ctrait type map for special trait types:
type_map = {
'event': 2,
'constant': 7
}
#---------------------------------------------------------------------------
# Initialize the object:
#---------------------------------------------------------------------------
def __init__ ( self, *value_type, **metadata ):
metadata.setdefault( 'type', 'trait' )
self.define( *value_type, **metadata )
#---------------------------------------------------------------------------
# Define the trait:
#---------------------------------------------------------------------------
def define ( self, *value_type, **metadata ):
default_value_type = -1
default_value = handler = clone = None
if len( value_type ) > 0:
default_value = value_type[0]
value_type = value_type[1:]
if ((len( value_type ) == 0) and
(type( default_value ) in SequenceTypes)):
default_value, value_type = default_value[0], default_value
if len( value_type ) == 0:
default_value = try_trait_cast( default_value )
if default_value in PythonTypes:
handler = TraitCoerceType( default_value )
default_value = DefaultValues.get( default_value )
elif isinstance( default_value, CTrait ):
clone = default_value
default_value_type, default_value = clone.default_value()
metadata[ 'type' ] = clone.type
elif isinstance( default_value, TraitHandler ):
handler = default_value
default_value = None
elif default_value is ThisClass:
handler = ThisClass()
default_value = None
else:
typeValue = type( default_value )
if isinstance(default_value, basestring):
string_options = self.extract( metadata, 'min_len',
'max_len', 'regex' )
if len( string_options ) == 0:
handler = TraitCastType( typeValue )
else:
handler = TraitString( **string_options )
elif typeValue in TypeTypes:
handler = TraitCastType( typeValue )
else:
metadata.setdefault( 'instance_handler',
'_instance_changed_handler' )
handler = TraitInstance( default_value )
if default_value is handler.aClass:
default_value = DefaultValues.get( default_value )
else:
enum = []
other = []
map = {}
self.do_list( value_type, enum, map, other )
if (((len( enum ) == 1) and (enum[0] is None)) and
((len( other ) == 1) and
isinstance( other[0], TraitInstance ))):
enum = []
other[0].allow_none()
metadata.setdefault( 'instance_handler',
'_instance_changed_handler' )
if len( enum ) > 0:
if (((len( map ) + len( other )) == 0) and
(default_value not in enum)):
enum.insert( 0, default_value )
other.append( TraitEnum( enum ) )
if len( map ) > 0:
other.append( TraitMap( map ) )
if len( other ) == 0:
handler = TraitHandler()
elif len( other ) == 1:
handler = other[0]
if isinstance( handler, CTrait ):
clone, handler = handler, None
metadata[ 'type' ] = clone.type
elif isinstance( handler, TraitInstance ):
metadata.setdefault( 'instance_handler',
'_instance_changed_handler' )
if default_value is None:
handler.allow_none()
elif isinstance( default_value, _InstanceArgs ):
default_value_type = 7
default_value = ( handler.create_default_value,
default_value.args, default_value.kw )
elif (len( enum ) == 0) and (len( map ) == 0):
aClass = handler.aClass
typeValue = type( default_value )
if typeValue is dict:
default_value_type = 7
default_value = ( aClass, (), default_value )
elif not isinstance( default_value, aClass ):
if typeValue is not tuple:
default_value = ( default_value, )
default_value_type = 7
default_value = ( aClass, default_value, None )
else:
for i, item in enumerate( other ):
if isinstance( item, CTrait ):
if item.type != 'trait':
raise TraitError, ("Cannot create a complex "
"trait containing %s trait." %
add_article( item.type ) )
handler = item.handler
if handler is None:
break
other[i] = handler
else:
handler = TraitCompound( other )
# Save the results:
self.handler = handler
self.clone = clone
if default_value_type < 0:
if isinstance( default_value, Default ):
default_value_type = 7
default_value = default_value.default_value
else:
if (handler is None) and (clone is not None):
handler = clone.handler
if handler is not None:
default_value_type = handler.default_value_type
if default_value_type < 0:
try:
default_value = handler.validate( None, '',
default_value )
except:
pass
if default_value_type < 0:
default_value_type = _default_value_type( default_value )
self.default_value_type = default_value_type
self.default_value = default_value
self.metadata = metadata.copy()
#---------------------------------------------------------------------------
# Determine the correct TraitHandler for each item in a list:
#---------------------------------------------------------------------------
def do_list ( self, list, enum, map, other ):
for item in list:
if item in PythonTypes:
other.append( TraitCoerceType( item ) )
else:
item = try_trait_cast( item )
typeItem = type( item )
if typeItem in ConstantTypes:
enum.append( item )
elif typeItem in SequenceTypes:
self.do_list( item, enum, map, other )
elif typeItem is dict:
map.update( item )
elif typeItem in CallableTypes:
other.append( TraitFunction( item ) )
elif item is ThisClass:
other.append( ThisClass() )
elif isinstance( item, TraitTypes ):
other.append( item )
else:
other.append( TraitInstance( item ) )
#---------------------------------------------------------------------------
# Returns a properly initialized 'CTrait' instance:
#---------------------------------------------------------------------------
def as_ctrait ( self ):
metadata = self.metadata
trait = CTrait( self.type_map.get( metadata.get( 'type' ), 0 ) )
clone = self.clone
if clone is not None:
trait.clone( clone )
if clone.__dict__ is not None:
trait.__dict__ = clone.__dict__.copy()
trait.default_value( self.default_value_type, self.default_value )
handler = self.handler
if handler is not None:
trait.handler = handler
validate = getattr( handler, 'fast_validate', None )
if validate is None:
validate = handler.validate
trait.set_validate( validate )
post_setattr = getattr( handler, 'post_setattr', None )
if post_setattr is not None:
trait.post_setattr = post_setattr
trait.is_mapped( handler.is_mapped )
# Note: The use of 'rich_compare' metadata is deprecated; use
# 'comparison_mode' metadata instead:
rich_compare = metadata.get( 'rich_compare' )
if rich_compare is not None:
trait.rich_comparison( rich_compare is True )
comparison_mode = metadata.get( 'comparison_mode' )
if comparison_mode is not None:
trait.comparison_mode( comparison_mode )
trait.value_allowed( metadata.get( 'trait_value', False ) is True )
if len( metadata ) > 0:
if trait.__dict__ is None:
trait.__dict__ = metadata
else:
trait.__dict__.update( metadata )
return trait
#---------------------------------------------------------------------------
# Extract a set of keywords from a dictionary:
#---------------------------------------------------------------------------
def extract ( self, from_dict, *keys ):
to_dict = {}
for key in keys:
if key in from_dict:
to_dict[ key ] = from_dict[ key ]
del from_dict[ key ]
return to_dict
#-------------------------------------------------------------------------------
# Factory function for creating C-based trait properties:
#-------------------------------------------------------------------------------
def Property ( fget = None, fset = None, fvalidate = None, force = False,
handler = None, trait = None, **metadata ):
""" Returns a trait whose value is a Python property.
Parameters
----------
fget : function
The "getter" function for the property.
fset : function
The "setter" function for the property.
fvalidate : function
The validation function for the property. The method should return the
value to set or raise TraitError if the new value is not valid.
force : bool
Indicates whether to use only the function definitions specified by
**fget** and **fset**, and not look elsewhere on the class.
handler : function
A trait handler function for the trait.
trait : Trait or value
A trait definition or a value that can be converted to a trait that
constrains the values of the property trait.
Description
-----------
If no getter, setter or validate functions are specified (and **force** is
not True), it is assumed that they are defined elsewhere on the class whose
attribute this trait is assigned to. For example::
class Bar(HasTraits):
# A float traits Property that should be always positive.
foo = Property(Float)
# Shadow trait attribute
_foo = Float
def _set_foo(self,x):
self._foo = x
def _validate_foo(self, x):
if x <= 0:
raise TraitError(
'foo property should be a positive number')
return x
def _get_foo(self):
return self._foo
You can use the **depends_on** metadata attribute to indicate that the
property depends on the value of another trait. The value of **depends_on**
is an extended name specifier for traits that the property depends on. The
property will a trait change notification if any of the traits specified
by **depends_on** change. For example::
class Wheel ( Part ):
axle = Instanced( Axle )
position = Property( depends_on = 'axle.chassis.position' )
For details of the extended trait name syntax, refer to the on_trait_change()
method of the HasTraits class.
"""
metadata[ 'type' ] = 'property'
# If no parameters specified, must be a forward reference (if not forced):
if (not force) and (fset is None):
sum = ((fget is not None) +
(fvalidate is not None) +
(trait is not None))
if sum <= 1:
if sum == 0:
return ForwardProperty( metadata )
handler = None
if fget is not None:
trait = fget
if trait is not None:
trait = trait_cast( trait )
if trait is not None:
fvalidate = handler = trait.handler
if fvalidate is not None:
fvalidate = handler.validate
if (fvalidate is not None) or (trait is not None):
if 'editor' not in metadata:
if (trait is not None) and (trait.editor is not None):
metadata[ 'editor' ] = trait.editor
return ForwardProperty( metadata, fvalidate, handler )
if fget is None:
metadata[ 'transient' ] = True
if fset is None:
fget = _undefined_get
fset = _undefined_set
else:
fget = _write_only
elif fset is None:
fset = _read_only
metadata[ 'transient' ] = True
if trait is not None:
trait = trait_cast( trait )
handler = trait.handler
if (fvalidate is None) and (handler is not None):
fvalidate = handler.validate
if ('editor' not in metadata) and (trait.editor is not None):
metadata[ 'editor' ] = trait.editor
metadata.setdefault( 'depends_on', getattr( fget, 'depends_on', None ) )
if ((metadata.get( 'depends_on' ) is not None) and
getattr( fget, 'cached_property', False )):
metadata.setdefault( 'cached', True )
n = 0
trait = CTrait( 4 )
trait.__dict__ = metadata.copy()
if fvalidate is not None:
n = _arg_count( fvalidate )
trait.property( fget, _arg_count( fget ),
fset, _arg_count( fset ),
fvalidate, n )
trait.handler = handler
return trait
Property = TraitFactory( Property )
class ForwardProperty ( object ):
""" Used to implement Property traits where accessor functions are defined
implicitly on the class.
"""
def __init__ ( self, metadata, validate = None, handler = None ):
self.metadata = metadata.copy()
self.validate = validate
self.handler = handler
#-------------------------------------------------------------------------------
# Dictionary used to handle return type mapping special cases:
#-------------------------------------------------------------------------------
SpecialNames = {
### 'int': trait_factory( Int ),
### 'long': trait_factory( Long ),
### 'float': trait_factory( Float ),
### 'complex': trait_factory( Complex ),
### 'str': trait_factory( Str ),
### 'unicode': trait_factory( Unicode ),
### 'bool': trait_factory( Bool ),
### 'list': trait_factory( List ),
### 'tuple': trait_factory( Tuple ),
### 'dict': trait_factory( Dict )
}
#-- Date Trait definition ----------------------------------------------------
#Date = Instance(datetime.date, metadata = { 'editor': date_editor })
#-- Time Trait definition ----------------------------------------------------
#Time = Instance(datetime.time, metadata = { 'editor': time_editor })
#-------------------------------------------------------------------------------
# Create predefined, reusable trait instances:
#-------------------------------------------------------------------------------
# Generic trait with 'object' behavior:
generic_trait = CTrait( 8 )
#-------------------------------------------------------------------------------
# User interface related color and font traits:
#-------------------------------------------------------------------------------
def Color ( *args, **metadata ):
""" Returns a trait whose value must be a GUI toolkit-specific color.
Description
-----------
For wxPython, the returned trait accepts any of the following values:
* A wx.Colour instance
* A wx.ColourPtr instance
* an integer whose hexadecimal form is 0x*RRGGBB*, where *RR* is the red
value, *GG* is the green value, and *BB* is the blue value
Default Value
-------------
For wxPython, 0x000000 (that is, white)
"""
from traitsui.toolkit_traits import ColorTrait
return ColorTrait( *args, **metadata )
Color = TraitFactory( Color )
def RGBColor ( *args, **metadata ):
""" Returns a trait whose value must be a GUI toolkit-specific RGB-based
color.
Description
-----------
For wxPython, the returned trait accepts any of the following values:
* A tuple of the form (*r*, *g*, *b*), in which *r*, *g*, and *b* represent
red, green, and blue values, respectively, and are floats in the range
from 0.0 to 1.0
* An integer whose hexadecimal form is 0x*RRGGBB*, where *RR* is the red
value, *GG* is the green value, and *BB* is the blue value
Default Value
-------------
For wxPython, (0.0, 0.0, 0.0) (that is, white)
"""
from traitsui.toolkit_traits import RGBColorTrait
return RGBColorTrait( *args, **metadata )
RGBColor = TraitFactory( RGBColor )
def Font ( *args, **metadata ):
""" Returns a trait whose value must be a GUI toolkit-specific font.
Description
-----------
For wxPython, the returned trait accepts any of the following:
* a wx.Font instance
* a wx.FontPtr instance
* a string describing the font, including one or more of the font family,
size, weight, style, and typeface name.
Default Value
-------------
For wxPython, 'Arial 10'
"""
from traitsui.toolkit_traits import FontTrait
return FontTrait( *args, **metadata )
Font = TraitFactory( Font )
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