Source code for cf.flags

from numpy import argsort    as numpy_argsort
from numpy import atleast_1d as numpy_atleast_1d
from numpy import ndarray    as numpy_ndarray

from copy import deepcopy

from .functions import RTOL, ATOL, equals
from .functions import inspect as cf_inspect


# ====================================================================
#
# Flags object
#
# ====================================================================
[docs]class Flags(object): ''' Self-describing CF flag values. Stores the flag_values, flag_meanings and flag_masks CF attributes in an internally consistent manner. ''' def __init__(self, **kwargs): ''' **Initialization** :Parameters: flag_values : optional The flag_values CF property. Sets the `flag_values` attribute. flag_meanings : optional The flag_meanings CF property. Sets the `flag_meanings` attribute. flag_masks : optional The flag_masks CF property. Sets the `flag_masks` attribute. ''' for attr, value in kwargs.iteritems(): if value is not None: setattr(self, attr, value) #--- End: def def __eq__(self, other): ''' x.__eq__(y) <==> x==y <==> x.equals(y) ''' return self.equals(other) #--- End: def def __ne__(self, other): ''' x.__ne__(y) <==> x!=y <==> not x.equals(y) ''' return not self.equals(other) #--- End: def def __hash__(self): ''' Return the hash value of the flags. Note that the flags will be sorted in place. :Returns: out : int The hash value. :Examples: >>> hash(f) -956218661958673979 ''' self.sort() x = [tuple(getattr(self, attr, ())) for attr in ('_flag_meanings', '_flag_values', '_flag_masks')] return hash(tuple(x)) #--- End: def def __nonzero__(self): ''' x.__nonzero__() <==> x!=0 ''' for attr in ('_flag_meanings', '_flag_values', '_flag_masks'): if hasattr(self, attr): return True #--- End: for return False #-- End: def # ---------------------------------------------------------------- # Property attribute: flag_values # ---------------------------------------------------------------- @property def flag_values(self): ''' The flag_values CF attribute. Stored as a 1-d numpy array but may be set as any array-like object. :Examples: >>> f.flag_values = ['a', 'b', 'c'] >>> f.flag_values array(['a', 'b', 'c'], dtype='|S1') >>> f.flag_values = numpy.arange(4, dtype='int8') >>> f.flag_values array([1, 2, 3, 4], dtype=int8) >>> f.flag_values = 1 >>> f.flag_values array([1]) ''' try: return self._flag_values except AttributeError: raise AttributeError("'%s' has no attribute 'flag_values'" % self.__class__.__name__) #--- End: def @flag_values.setter def flag_values(self, value): if not isinstance(value, numpy_ndarray): value = numpy_atleast_1d(value) self._flag_values = value #--- End: def @flag_values.deleter def flag_values(self): try: del self._flag_values except AttributeError: raise AttributeError("Can't delete '%s' attribute 'flag_values'" % self.__class__.__name__) #--- End: def # ---------------------------------------------------------------- # Property attribute: flag_masks # ---------------------------------------------------------------- @property def flag_masks(self): ''' The flag_masks CF attribute. Stored as a 1-d numpy array but may be set as array-like object. :Examples: >>> f.flag_masks = numpy.array([1, 2, 4], dtype='int8') >>> f.flag_masks array([1, 2, 4], dtype=int8) >>> f.flag_masks = 1 >>> f.flag_masks array([1]) ''' try: return self._flag_masks except AttributeError: raise AttributeError("'%s' object has no attribute 'flag_masks'" % self.__class__.__name__) #--- End: def @flag_masks.setter def flag_masks(self, value): if not isinstance(value, numpy_ndarray): value = numpy_atleast_1d(value) self._flag_masks = value #--- End: def @flag_masks.deleter def flag_masks(self): try: del self._flag_masks except AttributeError: raise AttributeError("Can't delete '%s' attribute 'flag_masks'" % self.__class__.__name__) #--- End: def # ---------------------------------------------------------------- # Property attribute: flag_meanings # ---------------------------------------------------------------- @property def flag_meanings(self): ''' The flag_meanings CF attribute. Stored as a 1-d numpy string array but may be set as a space delimited string or any array-like object. :Examples: >>> f.flag_meanings = 'low medium high' >>> f.flag_meanings array(['low', 'medium', 'high'], dtype='|S6') >>> f.flag_meanings = ['left', 'right'] >>> f.flag_meanings array(['left', 'right'], dtype='|S5') >>> f.flag_meanings = 'ok' >>> f.flag_meanings array(['ok'], dtype='|S2') >>> f.flag_meanings = numpy.array(['a', 'b']) >>> f.flag_meanings array(['a', 'b'], dtype='|S1') ''' try: return self._flag_meanings except AttributeError: raise AttributeError("'%s' object has no attribute 'flag_meanings'" % self.__class__.__name__) #--- End: def @flag_meanings.setter def flag_meanings(self, value): if isinstance(value, basestring): value = numpy_atleast_1d(value.split()) elif not isinstance(value, numpy_ndarray): value = numpy_atleast_1d(value) self._flag_meanings = value #--- End: def @flag_meanings.deleter def flag_meanings(self): try: del self._flag_meanings except AttributeError: raise AttributeError("Can't delete '%s' attribute 'flag_meanings'" % self.__class__.__name__) #--- End: def def __repr__(self): ''' x.__repr__() <==> repr(x) ''' string = [] if hasattr(self, 'flag_values'): string.append('flag_values=%s' % str(self.flag_values)) if hasattr(self, 'flag_masks'): string.append('flag_masks=%s' % str(self.flag_masks)) if hasattr(self, 'flag_meanings'): string.append('flag_meanings=%s' % str(self.flag_meanings)) return '<CF %s: %s>' % (self.__class__.__name__, ', '.join(string)) #--- End: def
[docs] def copy(self): ''' Return a deep copy. Equivalent to ``copy.deepcopy(f)`` :Returns: out : The deep copy. :Examples: >>> f.copy() ''' return deepcopy(self)
#--- End: def
[docs] def dump(self, display=True, _level=0): ''' Return a string containing a full description of the instance. :Parameters: display : bool, optional If False then return the description as a string. By default the description is printed, i.e. ``f.dump()`` is equivalent to ``print f.dump(display=False)``. :Returns: out : None or str A string containing the description. :Examples: ''' indent0 = ' ' * _level indent1 = ' ' * (_level+1) string = ['%sFlags:' % indent0] for attr in ('_flag_values', '_flag_meanings', '_flag_masks'): value = getattr(self, attr, None) if value is not None: string.append('%s%s = %s' % (indent1, attr[1:], list(value))) #--- End: for string = '\n'.join(string) if display: print string else: return string
#--- End: def
[docs] def equals(self, other, rtol=None, atol=None, ignore_fill_value=False, traceback=False): ''' True if two groups of flags are logically equal, False otherwise. Note that both instances are sorted in place prior to the comparison. :Parameters: other : The object to compare for equality. atol : float, optional The absolute tolerance for all numerical comparisons, By default the value returned by the `ATOL` function is used. rtol : float, optional The relative tolerance for all numerical comparisons, By default the value returned by the `RTOL` function is used. ignore_fill_value : bool, optional If True then data arrays with different fill values are considered equal. By default they are considered unequal. traceback : bool, optional If True then print a traceback highlighting where the two instances differ. :Returns: out : bool Whether or not the two instances are equal. :Examples: >>> f <CF Flags: flag_values=[1 0 2], flag_masks=[2 0 2], flag_meanings=['medium' 'low' 'high']> >>> g <CF Flags: flag_values=[2 0 1], flag_masks=[2 0 2], flag_meanings=['high' 'low' 'medium']> >>> f.equals(g) True >>> f <CF Flags: flag_values=[0 1 2], flag_masks=[0 2 2], flag_meanings=['low' 'medium' 'high']> >>> g <CF Flags: flag_values=[0 1 2], flag_masks=[0 2 2], flag_meanings=['low' 'medium' 'high']> ''' # Check that each instance is the same type if self.__class__ != other.__class__: if traceback: print("%s: Different type: %s, %s" % (self.__class__.__name__, self.__class__.__name__, other.__class__.__name__)) return False #--- End: if self.sort() other.sort() # Set default tolerances if rtol is None: rtol = RTOL() if atol is None: atol = ATOL() for attr in ('_flag_meanings', '_flag_values', '_flag_masks'): if hasattr(self, attr): if not hasattr(other, attr): if traceback: print("%s: Different attributes: %s" % (self.__class__.__name__, attr[1:])) return False x = getattr(self, attr) y = getattr(other, attr) if (x.shape != y.shape or not equals(x, y, rtol=rtol, atol=atol, ignore_fill_value=ignore_fill_value, traceback=traceback)): if traceback: print("%s: Different '%s': %r, %r" % (self.__class__.__name__, attr[1:], x, y)) return False elif hasattr(other, attr): if traceback: print("%s: Different attributes: %s" % (self.__class__.__name__, attr[1:])) return False #--- End: for return True
#--- End: def def inspect(self): ''' Inspect the object for debugging. .. seealso:: `cf.inspect` :Returns: None ''' print cf_inspect(self) #--- End: def
[docs] def sort(self): ''' Sort the flags in place. By default sort by flag values. If flag values are not present then sort by flag meanings. If flag meanings are not present then sort by flag_masks. :Returns: None :Examples: >>> f <CF Flags: flag_values=[2 0 1], flag_masks=[2 0 2], flag_meanings=['high' 'low' 'medium']> >>> f.sort() >>> f <CF Flags: flag_values=[0 1 2], flag_masks=[0 2 2], flag_meanings=['low' 'medium' 'high']> ''' if not self: return # Sort all three attributes for attr in ('flag_values', '_flag_meanings', '_flag_masks'): if hasattr(self, attr): indices = numpy_argsort(getattr(self, attr)) break #--- End: for for attr in ('_flag_values', '_flag_meanings', '_flag_masks'): if hasattr(self, attr): array = getattr(self, attr).view() array[...] = array[indices]
#--- End: for #--- End: def #--- End: class