# -*- coding: utf-8 -*- """\ The ``namedutils`` module defines two lightweight container types: :class:`namedtuple` and :class:`namedlist`. Both are subtypes of built-in sequence types, which are very fast and efficient. They simply add named attribute accessors for specific indexes within themselves. The :class:`namedtuple` is identical to the built-in :class:`collections.namedtuple`, with a couple of enhancements, including a ``__repr__`` more suitable to inheritance. The :class:`namedlist` is the mutable counterpart to the :class:`namedtuple`, and is much faster and lighter-weight than full-blown :class:`object`. Consider this if you're implementing nodes in a tree, graph, or other mutable data structure. If you want an even skinnier approach, you'll probably have to look to C. """ from __future__ import print_function import sys as _sys try: from collections import OrderedDict except ImportError: # backwards compatibility (2.6 has no OrderedDict) OrderedDict = dict from keyword import iskeyword as _iskeyword from operator import itemgetter as _itemgetter try: basestring def exec_(code, global_env): exec("exec code in global_env") except NameError: basestring = (str, bytes) # Python 3 compat def exec_(code, global_env): exec(code, global_env) __all__ = ['namedlist', 'namedtuple'] # Tiny templates _repr_tmpl = '{name}=%r' _imm_field_tmpl = '''\ {name} = _property(_itemgetter({index:d}), doc='Alias for field {index:d}') ''' _m_field_tmpl = '''\ {name} = _property(_itemgetter({index:d}), _itemsetter({index:d}), doc='Alias for field {index:d}') ''' ################################################################# ### namedtuple ################################################################# _namedtuple_tmpl = '''\ class {typename}(tuple): '{typename}({arg_list})' __slots__ = () _fields = {field_names!r} def __new__(_cls, {arg_list}): # TODO: tweak sig to make more extensible 'Create new instance of {typename}({arg_list})' return _tuple.__new__(_cls, ({arg_list})) @classmethod def _make(cls, iterable, new=_tuple.__new__, len=len): 'Make a new {typename} object from a sequence or iterable' result = new(cls, iterable) if len(result) != {num_fields:d}: raise TypeError('Expected {num_fields:d}' ' arguments, got %d' % len(result)) return result def __repr__(self): 'Return a nicely formatted representation string' tmpl = self.__class__.__name__ + '({repr_fmt})' return tmpl % self def _asdict(self): 'Return a new OrderedDict which maps field names to their values' return OrderedDict(zip(self._fields, self)) def _replace(_self, **kwds): 'Return a new {typename} object replacing field(s) with new values' result = _self._make(map(kwds.pop, {field_names!r}, _self)) if kwds: raise ValueError('Got unexpected field names: %r' % kwds.keys()) return result def __getnewargs__(self): 'Return self as a plain tuple. Used by copy and pickle.' return tuple(self) __dict__ = _property(_asdict) def __getstate__(self): 'Exclude the OrderedDict from pickling' # wat pass {field_defs} ''' def namedtuple(typename, field_names, verbose=False, rename=False): """Returns a new subclass of tuple with named fields. >>> Point = namedtuple('Point', ['x', 'y']) >>> Point.__doc__ # docstring for the new class 'Point(x, y)' >>> p = Point(11, y=22) # instantiate with pos args or keywords >>> p[0] + p[1] # indexable like a plain tuple 33 >>> x, y = p # unpack like a regular tuple >>> x, y (11, 22) >>> p.x + p.y # fields also accessible by name 33 >>> d = p._asdict() # convert to a dictionary >>> d['x'] 11 >>> Point(**d) # convert from a dictionary Point(x=11, y=22) >>> p._replace(x=100) # _replace() is like str.replace() but targets named fields Point(x=100, y=22) """ # Validate the field names. At the user's option, either generate an error # message or automatically replace the field name with a valid name. if isinstance(field_names, basestring): field_names = field_names.replace(',', ' ').split() field_names = [str(x) for x in field_names] if rename: seen = set() for index, name in enumerate(field_names): if (not all(c.isalnum() or c == '_' for c in name) or _iskeyword(name) or not name or name[0].isdigit() or name.startswith('_') or name in seen): field_names[index] = '_%d' % index seen.add(name) for name in [typename] + field_names: if not all(c.isalnum() or c == '_' for c in name): raise ValueError('Type names and field names can only contain ' 'alphanumeric characters and underscores: %r' % name) if _iskeyword(name): raise ValueError('Type names and field names cannot be a ' 'keyword: %r' % name) if name[0].isdigit(): raise ValueError('Type names and field names cannot start with ' 'a number: %r' % name) seen = set() for name in field_names: if name.startswith('_') and not rename: raise ValueError('Field names cannot start with an underscore: ' '%r' % name) if name in seen: raise ValueError('Encountered duplicate field name: %r' % name) seen.add(name) # Fill-in the class template fmt_kw = {'typename': typename} fmt_kw['field_names'] = tuple(field_names) fmt_kw['num_fields'] = len(field_names) fmt_kw['arg_list'] = repr(tuple(field_names)).replace("'", "")[1:-1] fmt_kw['repr_fmt'] = ', '.join(_repr_tmpl.format(name=name) for name in field_names) fmt_kw['field_defs'] = '\n'.join(_imm_field_tmpl.format(index=index, name=name) for index, name in enumerate(field_names)) class_definition = _namedtuple_tmpl.format(**fmt_kw) if verbose: print(class_definition) # Execute the template string in a temporary namespace and support # tracing utilities by setting a value for frame.f_globals['__name__'] namespace = dict(_itemgetter=_itemgetter, __name__='namedtuple_%s' % typename, OrderedDict=OrderedDict, _property=property, _tuple=tuple) try: exec_(class_definition, namespace) except SyntaxError as e: raise SyntaxError(e.message + ':\n' + class_definition) result = namespace[typename] # For pickling to work, the __module__ variable needs to be set to the frame # where the named tuple is created. Bypass this step in environments where # sys._getframe is not defined (Jython for example) or sys._getframe is not # defined for arguments greater than 0 (IronPython). try: frame = _sys._getframe(1) result.__module__ = frame.f_globals.get('__name__', '__main__') except (AttributeError, ValueError): pass return result ################################################################# ### namedlist ################################################################# _namedlist_tmpl = '''\ class {typename}(list): '{typename}({arg_list})' __slots__ = () _fields = {field_names!r} def __new__(_cls, {arg_list}): # TODO: tweak sig to make more extensible 'Create new instance of {typename}({arg_list})' return _list.__new__(_cls, ({arg_list})) def __init__(self, {arg_list}): # tuple didn't need this but list does return _list.__init__(self, ({arg_list})) @classmethod def _make(cls, iterable, new=_list, len=len): 'Make a new {typename} object from a sequence or iterable' # why did this function exist? why not just star the # iterable like below? result = cls(*iterable) if len(result) != {num_fields:d}: raise TypeError('Expected {num_fields:d} arguments,' ' got %d' % len(result)) return result def __repr__(self): 'Return a nicely formatted representation string' tmpl = self.__class__.__name__ + '({repr_fmt})' return tmpl % tuple(self) def _asdict(self): 'Return a new OrderedDict which maps field names to their values' return OrderedDict(zip(self._fields, self)) def _replace(_self, **kwds): 'Return a new {typename} object replacing field(s) with new values' result = _self._make(map(kwds.pop, {field_names!r}, _self)) if kwds: raise ValueError('Got unexpected field names: %r' % kwds.keys()) return result def __getnewargs__(self): 'Return self as a plain list. Used by copy and pickle.' return tuple(self) __dict__ = _property(_asdict) def __getstate__(self): 'Exclude the OrderedDict from pickling' # wat pass {field_defs} ''' def namedlist(typename, field_names, verbose=False, rename=False): """Returns a new subclass of list with named fields. >>> Point = namedlist('Point', ['x', 'y']) >>> Point.__doc__ # docstring for the new class 'Point(x, y)' >>> p = Point(11, y=22) # instantiate with pos args or keywords >>> p[0] + p[1] # indexable like a plain list 33 >>> x, y = p # unpack like a regular list >>> x, y (11, 22) >>> p.x + p.y # fields also accessible by name 33 >>> d = p._asdict() # convert to a dictionary >>> d['x'] 11 >>> Point(**d) # convert from a dictionary Point(x=11, y=22) >>> p._replace(x=100) # _replace() is like str.replace() but targets named fields Point(x=100, y=22) """ # Validate the field names. At the user's option, either generate an error # message or automatically replace the field name with a valid name. if isinstance(field_names, basestring): field_names = field_names.replace(',', ' ').split() field_names = [str(x) for x in field_names] if rename: seen = set() for index, name in enumerate(field_names): if (not all(c.isalnum() or c == '_' for c in name) or _iskeyword(name) or not name or name[0].isdigit() or name.startswith('_') or name in seen): field_names[index] = '_%d' % index seen.add(name) for name in [typename] + field_names: if not all(c.isalnum() or c == '_' for c in name): raise ValueError('Type names and field names can only contain ' 'alphanumeric characters and underscores: %r' % name) if _iskeyword(name): raise ValueError('Type names and field names cannot be a ' 'keyword: %r' % name) if name[0].isdigit(): raise ValueError('Type names and field names cannot start with ' 'a number: %r' % name) seen = set() for name in field_names: if name.startswith('_') and not rename: raise ValueError('Field names cannot start with an underscore: ' '%r' % name) if name in seen: raise ValueError('Encountered duplicate field name: %r' % name) seen.add(name) # Fill-in the class template fmt_kw = {'typename': typename} fmt_kw['field_names'] = tuple(field_names) fmt_kw['num_fields'] = len(field_names) fmt_kw['arg_list'] = repr(tuple(field_names)).replace("'", "")[1:-1] fmt_kw['repr_fmt'] = ', '.join(_repr_tmpl.format(name=name) for name in field_names) fmt_kw['field_defs'] = '\n'.join(_m_field_tmpl.format(index=index, name=name) for index, name in enumerate(field_names)) class_definition = _namedlist_tmpl.format(**fmt_kw) if verbose: print(class_definition) def _itemsetter(key): def _itemsetter(obj, value): obj[key] = value return _itemsetter # Execute the template string in a temporary namespace and support # tracing utilities by setting a value for frame.f_globals['__name__'] namespace = dict(_itemgetter=_itemgetter, _itemsetter=_itemsetter, __name__='namedlist_%s' % typename, OrderedDict=OrderedDict, _property=property, _list=list) try: exec_(class_definition, namespace) except SyntaxError as e: raise SyntaxError(e.message + ':\n' + class_definition) result = namespace[typename] # For pickling to work, the __module__ variable needs to be set to # the frame where the named list is created. Bypass this step in # environments where sys._getframe is not defined (Jython for # example) or sys._getframe is not defined for arguments greater # than 0 (IronPython). try: frame = _sys._getframe(1) result.__module__ = frame.f_globals.get('__name__', '__main__') except (AttributeError, ValueError): pass return result