Format All Files

1 files changed, 679 insertions, 713 deletions

diff --git a/python/dataclasses.py b/python/dataclasses.py
index ddd59c66..9bfab21c 100644
--- a/python/dataclasses.py
+++ b/python/dataclasses.py
@@ -5,21 +5,12 @@ import types
 import inspect
 import keyword
 
-__all__ = ['dataclass',
-           'field',
-           'Field',
-           'FrozenInstanceError',
-           'InitVar',
-           'MISSING',
+__all__ = [
+    'dataclass', 'field', 'Field', 'FrozenInstanceError', 'InitVar', 'MISSING',
 
-           # Helper functions.
-           'fields',
-           'asdict',
-           'astuple',
-           'make_dataclass',
-           'replace',
-           'is_dataclass',
-           ]
+    # Helper functions.
+    'fields', 'asdict', 'astuple', 'make_dataclass', 'replace', 'is_dataclass',
+]
 
 # Conditions for adding methods.  The boxes indicate what action the
 # dataclass decorator takes.  For all of these tables, when I talk
@@ -66,7 +57,6 @@ __all__ = ['dataclass',
 # | True  | add   |       |  <- the default
 # +=======+=======+=======+
 
-
 # __setattr__
 # __delattr__
 #
@@ -148,32 +138,43 @@ __all__ = ['dataclass',
 
 
 # Raised when an attempt is made to modify a frozen class.
-class FrozenInstanceError(AttributeError): pass
+class FrozenInstanceError(AttributeError):
+	pass
+
 
 # A sentinel object for default values to signal that a default
 # factory will be used.  This is given a nice repr() which will appear
 # in the function signature of dataclasses' constructors.
 class _HAS_DEFAULT_FACTORY_CLASS:
-    def __repr__(self):
-        return '<factory>'
+	def __repr__(self):
+		return '<factory>'
+
+
 _HAS_DEFAULT_FACTORY = _HAS_DEFAULT_FACTORY_CLASS()
 
+
 # A sentinel object to detect if a parameter is supplied or not.  Use
 # a class to give it a better repr.
 class _MISSING_TYPE:
-    pass
+	pass
+
+
 MISSING = _MISSING_TYPE()
 
 # Since most per-field metadata will be unused, create an empty
 # read-only proxy that can be shared among all fields.
 _EMPTY_METADATA = types.MappingProxyType({})
 
+
 # Markers for the various kinds of fields and pseudo-fields.
 class _FIELD_BASE:
-    def __init__(self, name):
-        self.name = name
-    def __repr__(self):
-        return self.name
+	def __init__(self, name):
+		self.name = name
+
+	def __repr__(self):
+		return self.name
+
+
 _FIELD = _FIELD_BASE('_FIELD')
 _FIELD_CLASSVAR = _FIELD_BASE('_FIELD_CLASSVAR')
 _FIELD_INITVAR = _FIELD_BASE('_FIELD_INITVAR')
@@ -195,12 +196,14 @@ _POST_INIT_NAME = '__post_init__'
 # https://bugs.python.org/issue33453 for details.
 _MODULE_IDENTIFIER_RE = re.compile(r'^(?:\s*(\w+)\s*\.)?\s*(\w+)')
 
+
 class _InitVarMeta(type):
-    def __getitem__(self, params):
-        return self
+	def __getitem__(self, params):
+		return self
+
 
 class InitVar(metaclass=_InitVarMeta):
-    pass
+	pass
 
 
 # Instances of Field are only ever created from within this module,
@@ -214,97 +217,86 @@ class InitVar(metaclass=_InitVarMeta):
 # When cls._FIELDS is filled in with a list of Field objects, the name
 # and type fields will have been populated.
 class Field:
-    __slots__ = ('name',
-                 'type',
-                 'default',
-                 'default_factory',
-                 'repr',
-                 'hash',
-                 'init',
-                 'compare',
-                 'metadata',
-                 '_field_type',  # Private: not to be used by user code.
-                 )
+	__slots__ = (
+	    'name', 'type', 'default', 'default_factory', 'repr', 'hash', 'init', 'compare', 'metadata',
+	    '_field_type',  # Private: not to be used by user code.
+	)
 
-    def __init__(self, default, default_factory, init, repr, hash, compare,
-                 metadata):
-        self.name = None
-        self.type = None
-        self.default = default
-        self.default_factory = default_factory
-        self.init = init
-        self.repr = repr
-        self.hash = hash
-        self.compare = compare
-        self.metadata = (_EMPTY_METADATA
-                         if metadata is None or len(metadata) == 0 else
-                         types.MappingProxyType(metadata))
-        self._field_type = None
+	def __init__(self, default, default_factory, init, repr, hash, compare, metadata):
+		self.name = None
+		self.type = None
+		self.default = default
+		self.default_factory = default_factory
+		self.init = init
+		self.repr = repr
+		self.hash = hash
+		self.compare = compare
+		self.metadata = (
+		    _EMPTY_METADATA if metadata is None or len(metadata) == 0 else types.MappingProxyType(metadata)
+		)
+		self._field_type = None
 
-    def __repr__(self):
-        return ('Field('
-                f'name={self.name!r},'
-                f'type={self.type!r},'
-                f'default={self.default!r},'
-                f'default_factory={self.default_factory!r},'
-                f'init={self.init!r},'
-                f'repr={self.repr!r},'
-                f'hash={self.hash!r},'
-                f'compare={self.compare!r},'
-                f'metadata={self.metadata!r},'
-                f'_field_type={self._field_type}'
-                ')')
+	def __repr__(self):
+		return (
+		    'Field('
+		    f'name={self.name!r},'
+		    f'type={self.type!r},'
+		    f'default={self.default!r},'
+		    f'default_factory={self.default_factory!r},'
+		    f'init={self.init!r},'
+		    f'repr={self.repr!r},'
+		    f'hash={self.hash!r},'
+		    f'compare={self.compare!r},'
+		    f'metadata={self.metadata!r},'
+		    f'_field_type={self._field_type}'
+		    ')'
+		)
 
-    # This is used to support the PEP 487 __set_name__ protocol in the
-    # case where we're using a field that contains a descriptor as a
-    # defaul value.  For details on __set_name__, see
-    # https://www.python.org/dev/peps/pep-0487/#implementation-details.
-    #
-    # Note that in _process_class, this Field object is overwritten
-    # with the default value, so the end result is a descriptor that
-    # had __set_name__ called on it at the right time.
-    def __set_name__(self, owner, name):
-        func = getattr(type(self.default), '__set_name__', None)
-        if func:
-            # There is a __set_name__ method on the descriptor, call
-            # it.
-            func(self.default, owner, name)
+	# This is used to support the PEP 487 __set_name__ protocol in the
+	# case where we're using a field that contains a descriptor as a
+	# defaul value.  For details on __set_name__, see
+	# https://www.python.org/dev/peps/pep-0487/#implementation-details.
+	#
+	# Note that in _process_class, this Field object is overwritten
+	# with the default value, so the end result is a descriptor that
+	# had __set_name__ called on it at the right time.
+	def __set_name__(self, owner, name):
+		func = getattr(type(self.default), '__set_name__', None)
+		if func:
+			# There is a __set_name__ method on the descriptor, call
+			# it.
+			func(self.default, owner, name)
 
 
 class _DataclassParams:
-    __slots__ = ('init',
-                 'repr',
-                 'eq',
-                 'order',
-                 'unsafe_hash',
-                 'frozen',
-                 )
+	__slots__ = ('init', 'repr', 'eq', 'order', 'unsafe_hash', 'frozen', )
 
-    def __init__(self, init, repr, eq, order, unsafe_hash, frozen):
-        self.init = init
-        self.repr = repr
-        self.eq = eq
-        self.order = order
-        self.unsafe_hash = unsafe_hash
-        self.frozen = frozen
+	def __init__(self, init, repr, eq, order, unsafe_hash, frozen):
+		self.init = init
+		self.repr = repr
+		self.eq = eq
+		self.order = order
+		self.unsafe_hash = unsafe_hash
+		self.frozen = frozen
 
-    def __repr__(self):
-        return ('_DataclassParams('
-                f'init={self.init!r},'
-                f'repr={self.repr!r},'
-                f'eq={self.eq!r},'
-                f'order={self.order!r},'
-                f'unsafe_hash={self.unsafe_hash!r},'
-                f'frozen={self.frozen!r}'
-                ')')
+	def __repr__(self):
+		return (
+		    '_DataclassParams('
+		    f'init={self.init!r},'
+		    f'repr={self.repr!r},'
+		    f'eq={self.eq!r},'
+		    f'order={self.order!r},'
+		    f'unsafe_hash={self.unsafe_hash!r},'
+		    f'frozen={self.frozen!r}'
+		    ')'
+		)
 
 
 # This function is used instead of exposing Field creation directly,
 # so that a type checker can be told (via overloads) that this is a
 # function whose type depends on its parameters.
-def field(*, default=MISSING, default_factory=MISSING, init=True, repr=True,
-          hash=None, compare=True, metadata=None):
-    """Return an object to identify dataclass fields.
+def field(*, default=MISSING, default_factory=MISSING, init=True, repr=True, hash=None, compare=True, metadata=None):
+	"""Return an object to identify dataclass fields.
 
     default is the default value of the field.  default_factory is a
     0-argument function called to initialize a field's value.  If init
@@ -318,392 +310,386 @@ def field(*, default=MISSING, default_factory=MISSING, init=True, repr=True,
     It is an error to specify both default and default_factory.
     """
 
-    if default is not MISSING and default_factory is not MISSING:
-        raise ValueError('cannot specify both default and default_factory')
-    return Field(default, default_factory, init, repr, hash, compare,
-                 metadata)
+	if default is not MISSING and default_factory is not MISSING:
+		raise ValueError('cannot specify both default and default_factory')
+	return Field(default, default_factory, init, repr, hash, compare, metadata)
 
 
 def _tuple_str(obj_name, fields):
-    # Return a string representing each field of obj_name as a tuple
-    # member.  So, if fields is ['x', 'y'] and obj_name is "self",
-    # return "(self.x,self.y)".
+	# Return a string representing each field of obj_name as a tuple
+	# member.  So, if fields is ['x', 'y'] and obj_name is "self",
+	# return "(self.x,self.y)".
 
-    # Special case for the 0-tuple.
-    if not fields:
-        return '()'
-    # Note the trailing comma, needed if this turns out to be a 1-tuple.
-    return f'({",".join([f"{obj_name}.{f.name}" for f in fields])},)'
+	# Special case for the 0-tuple.
+	if not fields:
+		return '()'
+	# Note the trailing comma, needed if this turns out to be a 1-tuple.
+	return f'({",".join([f"{obj_name}.{f.name}" for f in fields])},)'
 
 
-def _create_fn(name, args, body, *, globals=None, locals=None,
-               return_type=MISSING):
-    # Note that we mutate locals when exec() is called.  Caller
-    # beware!  The only callers are internal to this module, so no
-    # worries about external callers.
-    if locals is None:
-        locals = {}
-    return_annotation = ''
-    if return_type is not MISSING:
-        locals['_return_type'] = return_type
-        return_annotation = '->_return_type'
-    args = ','.join(args)
-    body = '\n'.join(f' {b}' for b in body)
+def _create_fn(name, args, body, *, globals=None, locals=None, return_type=MISSING):
+	# Note that we mutate locals when exec() is called.  Caller
+	# beware!  The only callers are internal to this module, so no
+	# worries about external callers.
+	if locals is None:
+		locals = {}
+	return_annotation = ''
+	if return_type is not MISSING:
+		locals['_return_type'] = return_type
+		return_annotation = '->_return_type'
+	args = ','.join(args)
+	body = '\n'.join(f' {b}' for b in body)
 
-    # Compute the text of the entire function.
-    txt = f'def {name}({args}){return_annotation}:\n{body}'
+	# Compute the text of the entire function.
+	txt = f'def {name}({args}){return_annotation}:\n{body}'
 
-    exec(txt, globals, locals)
-    return locals[name]
+	exec(txt, globals, locals)
+	return locals[name]
 
 
 def _field_assign(frozen, name, value, self_name):
-    # If we're a frozen class, then assign to our fields in __init__
-    # via object.__setattr__.  Otherwise, just use a simple
-    # assignment.
-    #
-    # self_name is what "self" is called in this function: don't
-    # hard-code "self", since that might be a field name.
-    if frozen:
-        return f'object.__setattr__({self_name},{name!r},{value})'
-    return f'{self_name}.{name}={value}'
+	# If we're a frozen class, then assign to our fields in __init__
+	# via object.__setattr__.  Otherwise, just use a simple
+	# assignment.
+	#
+	# self_name is what "self" is called in this function: don't
+	# hard-code "self", since that might be a field name.
+	if frozen:
+		return f'object.__setattr__({self_name},{name!r},{value})'
+	return f'{self_name}.{name}={value}'
 
 
 def _field_init(f, frozen, globals, self_name):
-    # Return the text of the line in the body of __init__ that will
-    # initialize this field.
+	# Return the text of the line in the body of __init__ that will
+	# initialize this field.
 
-    default_name = f'_dflt_{f.name}'
-    if f.default_factory is not MISSING:
-        if f.init:
-            # This field has a default factory.  If a parameter is
-            # given, use it.  If not, call the factory.
-            globals[default_name] = f.default_factory
-            value = (f'{default_name}() '
-                     f'if {f.name} is _HAS_DEFAULT_FACTORY '
-                     f'else {f.name}')
-        else:
-            # This is a field that's not in the __init__ params, but
-            # has a default factory function.  It needs to be
-            # initialized here by calling the factory function,
-            # because there's no other way to initialize it.
+	default_name = f'_dflt_{f.name}'
+	if f.default_factory is not MISSING:
+		if f.init:
+			# This field has a default factory.  If a parameter is
+			# given, use it.  If not, call the factory.
+			globals[default_name] = f.default_factory
+			value = (f'{default_name}() '
+			         f'if {f.name} is _HAS_DEFAULT_FACTORY '
+			         f'else {f.name}')
+		else:
+			# This is a field that's not in the __init__ params, but
+			# has a default factory function.  It needs to be
+			# initialized here by calling the factory function,
+			# because there's no other way to initialize it.
 
-            # For a field initialized with a default=defaultvalue, the
-            # class dict just has the default value
-            # (cls.fieldname=defaultvalue).  But that won't work for a
-            # default factory, the factory must be called in __init__
-            # and we must assign that to self.fieldname.  We can't
-            # fall back to the class dict's value, both because it's
-            # not set, and because it might be different per-class
-            # (which, after all, is why we have a factory function!).
+			# For a field initialized with a default=defaultvalue, the
+			# class dict just has the default value
+			# (cls.fieldname=defaultvalue).  But that won't work for a
+			# default factory, the factory must be called in __init__
+			# and we must assign that to self.fieldname.  We can't
+			# fall back to the class dict's value, both because it's
+			# not set, and because it might be different per-class
+			# (which, after all, is why we have a factory function!).
 
-            globals[default_name] = f.default_factory
-            value = f'{default_name}()'
-    else:
-        # No default factory.
-        if f.init:
-            if f.default is MISSING:
-                # There's no default, just do an assignment.
-                value = f.name
-            elif f.default is not MISSING:
-                globals[default_name] = f.default
-                value = f.name
-        else:
-            # This field does not need initialization.  Signify that
-            # to the caller by returning None.
-            return None
+			globals[default_name] = f.default_factory
+			value = f'{default_name}()'
+	else:
+		# No default factory.
+		if f.init:
+			if f.default is MISSING:
+				# There's no default, just do an assignment.
+				value = f.name
+			elif f.default is not MISSING:
+				globals[default_name] = f.default
+				value = f.name
+		else:
+			# This field does not need initialization.  Signify that
+			# to the caller by returning None.
+			return None
 
-    # Only test this now, so that we can create variables for the
-    # default.  However, return None to signify that we're not going
-    # to actually do the assignment statement for InitVars.
-    if f._field_type is _FIELD_INITVAR:
-        return None
+	# Only test this now, so that we can create variables for the
+	# default.  However, return None to signify that we're not going
+	# to actually do the assignment statement for InitVars.
+	if f._field_type is _FIELD_INITVAR:
+		return None
 
-    # Now, actually generate the field assignment.
-    return _field_assign(frozen, f.name, value, self_name)
+	# Now, actually generate the field assignment.
+	return _field_assign(frozen, f.name, value, self_name)
 
 
 def _init_param(f):
-    # Return the __init__ parameter string for this field.  For
-    # example, the equivalent of 'x:int=3' (except instead of 'int',
-    # reference a variable set to int, and instead of '3', reference a
-    # variable set to 3).
-    if f.default is MISSING and f.default_factory is MISSING:
-        # There's no default, and no default_factory, just output the
-        # variable name and type.
-        default = ''
-    elif f.default is not MISSING:
-        # There's a default, this will be the name that's used to look
-        # it up.
-        default = f'=_dflt_{f.name}'
-    elif f.default_factory is not MISSING:
-        # There's a factory function.  Set a marker.
-        default = '=_HAS_DEFAULT_FACTORY'
-    return f'{f.name}:_type_{f.name}{default}'
+	# Return the __init__ parameter string for this field.  For
+	# example, the equivalent of 'x:int=3' (except instead of 'int',
+	# reference a variable set to int, and instead of '3', reference a
+	# variable set to 3).
+	if f.default is MISSING and f.default_factory is MISSING:
+		# There's no default, and no default_factory, just output the
+		# variable name and type.
+		default = ''
+	elif f.default is not MISSING:
+		# There's a default, this will be the name that's used to look
+		# it up.
+		default = f'=_dflt_{f.name}'
+	elif f.default_factory is not MISSING:
+		# There's a factory function.  Set a marker.
+		default = '=_HAS_DEFAULT_FACTORY'
+	return f'{f.name}:_type_{f.name}{default}'
 
 
 def _init_fn(fields, frozen, has_post_init, self_name):
-    # fields contains both real fields and InitVar pseudo-fields.
+	# fields contains both real fields and InitVar pseudo-fields.
 
-    # Make sure we don't have fields without defaults following fields
-    # with defaults.  This actually would be caught when exec-ing the
-    # function source code, but catching it here gives a better error
-    # message, and future-proofs us in case we build up the function
-    # using ast.
-    seen_default = False
-    for f in fields:
-        # Only consider fields in the __init__ call.
-        if f.init:
-            if not (f.default is MISSING and f.default_factory is MISSING):
-                seen_default = True
-            elif seen_default:
-                raise TypeError(f'non-default argument {f.name!r} '
-                                'follows default argument')
+	# Make sure we don't have fields without defaults following fields
+	# with defaults.  This actually would be caught when exec-ing the
+	# function source code, but catching it here gives a better error
+	# message, and future-proofs us in case we build up the function
+	# using ast.
+	seen_default = False
+	for f in fields:
+		# Only consider fields in the __init__ call.
+		if f.init:
+			if not (f.default is MISSING and f.default_factory is MISSING):
+				seen_default = True
+			elif seen_default:
+				raise TypeError(f'non-default argument {f.name!r} '
+				                'follows default argument')
 
-    globals = {'MISSING': MISSING,
-               '_HAS_DEFAULT_FACTORY': _HAS_DEFAULT_FACTORY}
+	globals = {'MISSING': MISSING, '_HAS_DEFAULT_FACTORY': _HAS_DEFAULT_FACTORY}
 
-    body_lines = []
-    for f in fields:
-        line = _field_init(f, frozen, globals, self_name)
-        # line is None means that this field doesn't require
-        # initialization (it's a pseudo-field).  Just skip it.
-        if line:
-            body_lines.append(line)
+	body_lines = []
+	for f in fields:
+		line = _field_init(f, frozen, globals, self_name)
+		# line is None means that this field doesn't require
+		# initialization (it's a pseudo-field).  Just skip it.
+		if line:
+			body_lines.append(line)
 
-    # Does this class have a post-init function?
-    if has_post_init:
-        params_str = ','.join(f.name for f in fields
-                              if f._field_type is _FIELD_INITVAR)
-        body_lines.append(f'{self_name}.{_POST_INIT_NAME}({params_str})')
+	# Does this class have a post-init function?
+	if has_post_init:
+		params_str = ','.join(f.name for f in fields if f._field_type is _FIELD_INITVAR)
+		body_lines.append(f'{self_name}.{_POST_INIT_NAME}({params_str})')
 
-    # If no body lines, use 'pass'.
-    if not body_lines:
-        body_lines = ['pass']
+	# If no body lines, use 'pass'.
+	if not body_lines:
+		body_lines = ['pass']
 
-    locals = {f'_type_{f.name}': f.type for f in fields}
-    return _create_fn('__init__',
-                      [self_name] + [_init_param(f) for f in fields if f.init],
-                      body_lines,
-                      locals=locals,
-                      globals=globals,
-                      return_type=None)
+	locals = {f'_type_{f.name}': f.type for f in fields}
+	return _create_fn(
+	    '__init__', [self_name] + [_init_param(f) for f in fields if f.init], body_lines, locals=locals,
+	    globals=globals, return_type=None
+	)
 
 
 def _repr_fn(fields):
-    return _create_fn('__repr__',
-                      ('self',),
-                      ['return self.__class__.__qualname__ + f"(' +
-                       ', '.join([f"{f.name}={{self.{f.name}!r}}"
-                                  for f in fields]) +
-                       ')"'])
+	return _create_fn(
+	    '__repr__', ('self', ), [
+	        'return self.__class__.__qualname__ + f"(' + ', '.join([f"{f.name}={{self.{f.name}!r}}"
+	                                                                for f in fields]) + ')"'
+	    ]
+	)
 
 
 def _frozen_get_del_attr(cls, fields):
-    # XXX: globals is modified on the first call to _create_fn, then
-    # the modified version is used in the second call.  Is this okay?
-    globals = {'cls': cls,
-              'FrozenInstanceError': FrozenInstanceError}
-    if fields:
-        fields_str = '(' + ','.join(repr(f.name) for f in fields) + ',)'
-    else:
-        # Special case for the zero-length tuple.
-        fields_str = '()'
-    return (_create_fn('__setattr__',
-                      ('self', 'name', 'value'),
-                      (f'if type(self) is cls or name in {fields_str}:',
-                        ' raise FrozenInstanceError(f"cannot assign to field {name!r}")',
-                       f'super(cls, self).__setattr__(name, value)'),
-                       globals=globals),
-            _create_fn('__delattr__',
-                      ('self', 'name'),
-                      (f'if type(self) is cls or name in {fields_str}:',
-                        ' raise FrozenInstanceError(f"cannot delete field {name!r}")',
-                       f'super(cls, self).__delattr__(name)'),
-                       globals=globals),
-            )
+	# XXX: globals is modified on the first call to _create_fn, then
+	# the modified version is used in the second call.  Is this okay?
+	globals = {'cls': cls, 'FrozenInstanceError': FrozenInstanceError}
+	if fields:
+		fields_str = '(' + ','.join(repr(f.name) for f in fields) + ',)'
+	else:
+		# Special case for the zero-length tuple.
+		fields_str = '()'
+	return (
+	    _create_fn(
+	        '__setattr__', ('self', 'name', 'value'), (
+	            f'if type(self) is cls or name in {fields_str}:',
+	            ' raise FrozenInstanceError(f"cannot assign to field {name!r}")',
+	            f'super(cls, self).__setattr__(name, value)'
+	        ), globals=globals
+	    ),
+	    _create_fn(
+	        '__delattr__', ('self', 'name'), (
+	            f'if type(self) is cls or name in {fields_str}:',
+	            ' raise FrozenInstanceError(f"cannot delete field {name!r}")', f'super(cls, self).__delattr__(name)'
+	        ), globals=globals
+	    ),
+	)
 
 
 def _cmp_fn(name, op, self_tuple, other_tuple):
-    # Create a comparison function.  If the fields in the object are
-    # named 'x' and 'y', then self_tuple is the string
-    # '(self.x,self.y)' and other_tuple is the string
-    # '(other.x,other.y)'.
+	# Create a comparison function.  If the fields in the object are
+	# named 'x' and 'y', then self_tuple is the string
+	# '(self.x,self.y)' and other_tuple is the string
+	# '(other.x,other.y)'.
 
-    return _create_fn(name,
-                      ('self', 'other'),
-                      [ 'if other.__class__ is self.__class__:',
-                       f' return {self_tuple}{op}{other_tuple}',
-                        'return NotImplemented'])
+	return _create_fn(
+	    name, ('self', 'other'),
+	    ['if other.__class__ is self.__class__:', f' return {self_tuple}{op}{other_tuple}', 'return NotImplemented']
+	)
 
 
 def _hash_fn(fields):
-    self_tuple = _tuple_str('self', fields)
-    return _create_fn('__hash__',
-                      ('self',),
-                      [f'return hash({self_tuple})'])
+	self_tuple = _tuple_str('self', fields)
+	return _create_fn('__hash__', ('self', ), [f'return hash({self_tuple})'])
 
 
 def _is_classvar(a_type, typing):
-    # This test uses a typing internal class, but it's the best way to
-    # test if this is a ClassVar.
-    return type(a_type) is typing._ClassVar
+	# This test uses a typing internal class, but it's the best way to
+	# test if this is a ClassVar.
+	return type(a_type) is typing._ClassVar
 
 
 def _is_initvar(a_type, dataclasses):
-    # The module we're checking against is the module we're
-    # currently in (dataclasses.py).
-    return a_type is dataclasses.InitVar
+	# The module we're checking against is the module we're
+	# currently in (dataclasses.py).
+	return a_type is dataclasses.InitVar
 
 
 def _is_type(annotation, cls, a_module, a_type, is_type_predicate):
-    # Given a type annotation string, does it refer to a_type in
-    # a_module?  For example, when checking that annotation denotes a
-    # ClassVar, then a_module is typing, and a_type is
-    # typing.ClassVar.
+	# Given a type annotation string, does it refer to a_type in
+	# a_module?  For example, when checking that annotation denotes a
+	# ClassVar, then a_module is typing, and a_type is
+	# typing.ClassVar.
 
-    # It's possible to look up a_module given a_type, but it involves
-    # looking in sys.modules (again!), and seems like a waste since
-    # the caller already knows a_module.
+	# It's possible to look up a_module given a_type, but it involves
+	# looking in sys.modules (again!), and seems like a waste since
+	# the caller already knows a_module.
 
-    # - annotation is a string type annotation
-    # - cls is the class that this annotation was found in
-    # - a_module is the module we want to match
-    # - a_type is the type in that module we want to match
-    # - is_type_predicate is a function called with (obj, a_module)
-    #   that determines if obj is of the desired type.
+	# - annotation is a string type annotation
+	# - cls is the class that this annotation was found in
+	# - a_module is the module we want to match
+	# - a_type is the type in that module we want to match
+	# - is_type_predicate is a function called with (obj, a_module)
+	#   that determines if obj is of the desired type.
 
-    # Since this test does not do a local namespace lookup (and
-    # instead only a module (global) lookup), there are some things it
-    # gets wrong.
+	# Since this test does not do a local namespace lookup (and
+	# instead only a module (global) lookup), there are some things it
+	# gets wrong.
 
-    # With string annotations, cv0 will be detected as a ClassVar:
-    #   CV = ClassVar
-    #   @dataclass
-    #   class C0:
-    #     cv0: CV
+	# With string annotations, cv0 will be detected as a ClassVar:
+	#   CV = ClassVar
+	#   @dataclass
+	#   class C0:
+	#     cv0: CV
 
-    # But in this example cv1 will not be detected as a ClassVar:
-    #   @dataclass
-    #   class C1:
-    #     CV = ClassVar
-    #     cv1: CV
+	# But in this example cv1 will not be detected as a ClassVar:
+	#   @dataclass
+	#   class C1:
+	#     CV = ClassVar
+	#     cv1: CV
 
-    # In C1, the code in this function (_is_type) will look up "CV" in
-    # the module and not find it, so it will not consider cv1 as a
-    # ClassVar.  This is a fairly obscure corner case, and the best
-    # way to fix it would be to eval() the string "CV" with the
-    # correct global and local namespaces.  However that would involve
-    # a eval() penalty for every single field of every dataclass
-    # that's defined.  It was judged not worth it.
+	# In C1, the code in this function (_is_type) will look up "CV" in
+	# the module and not find it, so it will not consider cv1 as a
+	# ClassVar.  This is a fairly obscure corner case, and the best
+	# way to fix it would be to eval() the string "CV" with the
+	# correct global and local namespaces.  However that would involve
+	# a eval() penalty for every single field of every dataclass
+	# that's defined.  It was judged not worth it.
 
-    match = _MODULE_IDENTIFIER_RE.match(annotation)
-    if match:
-        ns = None
-        module_name = match.group(1)
-        if not module_name:
-            # No module name, assume the class's module did
-            # "from dataclasses import InitVar".
-            ns = sys.modules.get(cls.__module__).__dict__
-        else:
-            # Look up module_name in the class's module.
-            module = sys.modules.get(cls.__module__)
-            if module and module.__dict__.get(module_name) is a_module:
-                ns = sys.modules.get(a_type.__module__).__dict__
-        if ns and is_type_predicate(ns.get(match.group(2)), a_module):
-            return True
-    return False
+	match = _MODULE_IDENTIFIER_RE.match(annotation)
+	if match:
+		ns = None
+		module_name = match.group(1)
+		if not module_name:
+			# No module name, assume the class's module did
+			# "from dataclasses import InitVar".
+			ns = sys.modules.get(cls.__module__).__dict__
+		else:
+			# Look up module_name in the class's module.
+			module = sys.modules.get(cls.__module__)
+			if module and module.__dict__.get(module_name) is a_module:
+				ns = sys.modules.get(a_type.__module__).__dict__
+		if ns and is_type_predicate(ns.get(match.group(2)), a_module):
+			return True
+	return False
 
 
 def _get_field(cls, a_name, a_type):
-    # Return a Field object for this field name and type.  ClassVars
-    # and InitVars are also returned, but marked as such (see
-    # f._field_type).
+	# Return a Field object for this field name and type.  ClassVars
+	# and InitVars are also returned, but marked as such (see
+	# f._field_type).
 
-    # If the default value isn't derived from Field, then it's only a
-    # normal default value.  Convert it to a Field().
-    default = getattr(cls, a_name, MISSING)
-    if isinstance(default, Field):
-        f = default
-    else:
-        if isinstance(default, types.MemberDescriptorType):
-            # This is a field in __slots__, so it has no default value.
-            default = MISSING
-        f = field(default=default)
+	# If the default value isn't derived from Field, then it's only a
+	# normal default value.  Convert it to a Field().
+	default = getattr(cls, a_name, MISSING)
+	if isinstance(default, Field):
+		f = default
+	else:
+		if isinstance(default, types.MemberDescriptorType):
+			# This is a field in __slots__, so it has no default value.
+			default = MISSING
+		f = field(default=default)
 
-    # Only at this point do we know the name and the type.  Set them.
-    f.name = a_name
-    f.type = a_type
+	# Only at this point do we know the name and the type.  Set them.
+	f.name = a_name
+	f.type = a_type
 
-    # Assume it's a normal field until proven otherwise.  We're next
-    # going to decide if it's a ClassVar or InitVar, everything else
-    # is just a normal field.
-    f._field_type = _FIELD
+	# Assume it's a normal field until proven otherwise.  We're next
+	# going to decide if it's a ClassVar or InitVar, everything else
+	# is just a normal field.
+	f._field_type = _FIELD
 
-    # In addition to checking for actual types here, also check for
-    # string annotations.  get_type_hints() won't always work for us
-    # (see https://github.com/python/typing/issues/508 for example),
-    # plus it's expensive and would require an eval for every stirng
-    # annotation.  So, make a best effort to see if this is a ClassVar
-    # or InitVar using regex's and checking that the thing referenced
-    # is actually of the correct type.
+	# In addition to checking for actual types here, also check for
+	# string annotations.  get_type_hints() won't always work for us
+	# (see https://github.com/python/typing/issues/508 for example),
+	# plus it's expensive and would require an eval for every stirng
+	# annotation.  So, make a best effort to see if this is a ClassVar
+	# or InitVar using regex's and checking that the thing referenced
+	# is actually of the correct type.
 
-    # For the complete discussion, see https://bugs.python.org/issue33453
+	# For the complete discussion, see https://bugs.python.org/issue33453
 
-    # If typing has not been imported, then it's impossible for any
-    # annotation to be a ClassVar.  So, only look for ClassVar if
-    # typing has been imported by any module (not necessarily cls's
-    # module).
-    typing = sys.modules.get('typing')
-    if typing:
-        if (_is_classvar(a_type, typing)
-            or (isinstance(f.type, str)
-                and _is_type(f.type, cls, typing, typing.ClassVar,
-                             _is_classvar))):
-            f._field_type = _FIELD_CLASSVAR
+	# If typing has not been imported, then it's impossible for any
+	# annotation to be a ClassVar.  So, only look for ClassVar if
+	# typing has been imported by any module (not necessarily cls's
+	# module).
+	typing = sys.modules.get('typing')
+	if typing:
+		if (
+		    _is_classvar(a_type, typing)
+		    or (isinstance(f.type, str) and _is_type(f.type, cls, typing, typing.ClassVar, _is_classvar))
+		):
+			f._field_type = _FIELD_CLASSVAR
 
-    # If the type is InitVar, or if it's a matching string annotation,
-    # then it's an InitVar.
-    if f._field_type is _FIELD:
-        # The module we're checking against is the module we're
-        # currently in (dataclasses.py).
-        dataclasses = sys.modules[__name__]
-        if (_is_initvar(a_type, dataclasses)
-            or (isinstance(f.type, str)
-                and _is_type(f.type, cls, dataclasses, dataclasses.InitVar,
-                             _is_initvar))):
-            f._field_type = _FIELD_INITVAR
+	# If the type is InitVar, or if it's a matching string annotation,
+	# then it's an InitVar.
+	if f._field_type is _FIELD:
+		# The module we're checking against is the module we're
+		# currently in (dataclasses.py).
+		dataclasses = sys.modules[__name__]
+		if (
+		    _is_initvar(a_type, dataclasses)
+		    or (isinstance(f.type, str) and _is_type(f.type, cls, dataclasses, dataclasses.InitVar, _is_initvar))
+		):
+			f._field_type = _FIELD_INITVAR
 
-    # Validations for individual fields.  This is delayed until now,
-    # instead of in the Field() constructor, since only here do we
-    # know the field name, which allows for better error reporting.
+	# Validations for individual fields.  This is delayed until now,
+	# instead of in the Field() constructor, since only here do we
+	# know the field name, which allows for better error reporting.
 
-    # Special restrictions for ClassVar and InitVar.
-    if f._field_type in (_FIELD_CLASSVAR, _FIELD_INITVAR):
-        if f.default_factory is not MISSING:
-            raise TypeError(f'field {f.name} cannot have a '
-                            'default factory')
-        # Should I check for other field settings? default_factory
-        # seems the most serious to check for.  Maybe add others.  For
-        # example, how about init=False (or really,
-        # init=<not-the-default-init-value>)?  It makes no sense for
-        # ClassVar and InitVar to specify init=<anything>.
+	# Special restrictions for ClassVar and InitVar.
+	if f._field_type in (_FIELD_CLASSVAR, _FIELD_INITVAR):
+		if f.default_factory is not MISSING:
+			raise TypeError(f'field {f.name} cannot have a '
+			                'default factory')
+		# Should I check for other field settings? default_factory
+		# seems the most serious to check for.  Maybe add others.  For
+		# example, how about init=False (or really,
+		# init=<not-the-default-init-value>)?  It makes no sense for
+		# ClassVar and InitVar to specify init=<anything>.
 
-    # For real fields, disallow mutable defaults for known types.
-    if f._field_type is _FIELD and isinstance(f.default, (list, dict, set)):
-        raise ValueError(f'mutable default {type(f.default)} for field '
-                         f'{f.name} is not allowed: use default_factory')
+	# For real fields, disallow mutable defaults for known types.
+	if f._field_type is _FIELD and isinstance(f.default, (list, dict, set)):
+		raise ValueError(
+		    f'mutable default {type(f.default)} for field '
+		    f'{f.name} is not allowed: use default_factory'
+		)
 
-    return f
+	return f
 
 
 def _set_new_attribute(cls, name, value):
-    # Never overwrites an existing attribute.  Returns True if the
-    # attribute already exists.
-    if name in cls.__dict__:
-        return True
-    setattr(cls, name, value)
-    return False
+	# Never overwrites an existing attribute.  Returns True if the
+	# attribute already exists.
+	if name in cls.__dict__:
+		return True
+	setattr(cls, name, value)
+	return False
 
 
 # Decide if/how we're going to create a hash function.  Key is
@@ -711,17 +697,21 @@ def _set_new_attribute(cls, name, value):
 # take.  The common case is to do nothing, so instead of providing a
 # function that is a no-op, use None to signify that.
 
+
 def _hash_set_none(cls, fields):
-    return None
+	return None
+
 
 def _hash_add(cls, fields):
-    flds = [f for f in fields if (f.compare if f.hash is None else f.hash)]
-    return _hash_fn(flds)
+	flds = [f for f in fields if (f.compare if f.hash is None else f.hash)]
+	return _hash_fn(flds)
+
 
 def _hash_exception(cls, fields):
-    # Raise an exception.
-    raise TypeError(f'Cannot overwrite attribute __hash__ '
-                    f'in class {cls.__name__}')
+	# Raise an exception.
+	raise TypeError(f'Cannot overwrite attribute __hash__ '
+	                f'in class {cls.__name__}')
+
 
 #
 #                +-------------------------------------- unsafe_hash?
@@ -733,208 +723,185 @@ def _hash_exception(cls, fields):
 #                |      |      |      |        |
 #                v      v      v      v        v
 _hash_action = {(False, False, False, False): None,
-                (False, False, False, True ): None,
-                (False, False, True,  False): None,
-                (False, False, True,  True ): None,
-                (False, True,  False, False): _hash_set_none,
-                (False, True,  False, True ): None,
-                (False, True,  True,  False): _hash_add,
-                (False, True,  True,  True ): None,
-                (True,  False, False, False): _hash_add,
-                (True,  False, False, True ): _hash_exception,
-                (True,  False, True,  False): _hash_add,
-                (True,  False, True,  True ): _hash_exception,
-                (True,  True,  False, False): _hash_add,
-                (True,  True,  False, True ): _hash_exception,
-                (True,  True,  True,  False): _hash_add,
-                (True,  True,  True,  True ): _hash_exception,
-                }
+                (False, False, False, True): None, (False, False, True, False): None, (False, False, True, True): None,
+                (False, True, False, False): _hash_set_none, (False, True, False, True): None,
+                (False, True, True, False): _hash_add, (False, True, True, True): None,
+                (True, False, False, False): _hash_add, (True, False, False, True): _hash_exception,
+                (True, False, True, False): _hash_add, (True, False, True, True): _hash_exception,
+                (True, True, False, False): _hash_add, (True, True, False, True): _hash_exception,
+                (True, True, True, False): _hash_add, (True, True, True, True): _hash_exception, }
 # See https://bugs.python.org/issue32929#msg312829 for an if-statement
 # version of this table.
 
 
 def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen):
-    # Now that dicts retain insertion order, there's no reason to use
-    # an ordered dict.  I am leveraging that ordering here, because
-    # derived class fields overwrite base class fields, but the order
-    # is defined by the base class, which is found first.
-    fields = {}
+	# Now that dicts retain insertion order, there's no reason to use
+	# an ordered dict.  I am leveraging that ordering here, because
+	# derived class fields overwrite base class fields, but the order
+	# is defined by the base class, which is found first.
+	fields = {}
 
-    setattr(cls, _PARAMS, _DataclassParams(init, repr, eq, order,
-                                           unsafe_hash, frozen))
+	setattr(cls, _PARAMS, _DataclassParams(init, repr, eq, order, unsafe_hash, frozen))
 
-    # Find our base classes in reverse MRO order, and exclude
-    # ourselves.  In reversed order so that more derived classes
-    # override earlier field definitions in base classes.  As long as
-    # we're iterating over them, see if any are frozen.
-    any_frozen_base = False
-    has_dataclass_bases = False
-    for b in cls.__mro__[-1:0:-1]:
-        # Only process classes that have been processed by our
-        # decorator.  That is, they have a _FIELDS attribute.
-        base_fields = getattr(b, _FIELDS, None)
-        if base_fields:
-            has_dataclass_bases = True
-            for f in base_fields.values():
-                fields[f.name] = f
-            if getattr(b, _PARAMS).frozen:
-                any_frozen_base = True
+	# Find our base classes in reverse MRO order, and exclude
+	# ourselves.  In reversed order so that more derived classes
+	# override earlier field definitions in base classes.  As long as
+	# we're iterating over them, see if any are frozen.
+	any_frozen_base = False
+	has_dataclass_bases = False
+	for b in cls.__mro__[-1:0:-1]:
+		# Only process classes that have been processed by our
+		# decorator.  That is, they have a _FIELDS attribute.
+		base_fields = getattr(b, _FIELDS, None)
+		if base_fields:
+			has_dataclass_bases = True
+			for f in base_fields.values():
+				fields[f.name] = f
+			if getattr(b, _PARAMS).frozen:
+				any_frozen_base = True
 
-    # Annotations that are defined in this class (not in base
-    # classes).  If __annotations__ isn't present, then this class
-    # adds no new annotations.  We use this to compute fields that are
-    # added by this class.
-    #
-    # Fields are found from cls_annotations, which is guaranteed to be
-    # ordered.  Default values are from class attributes, if a field
-    # has a default.  If the default value is a Field(), then it
-    # contains additional info beyond (and possibly including) the
-    # actual default value.  Pseudo-fields ClassVars and InitVars are
-    # included, despite the fact that they're not real fields.  That's
-    # dealt with later.
-    cls_annotations = cls.__dict__.get('__annotations__', {})
+	# Annotations that are defined in this class (not in base
+	# classes).  If __annotations__ isn't present, then this class
+	# adds no new annotations.  We use this to compute fields that are
+	# added by this class.
+	#
+	# Fields are found from cls_annotations, which is guaranteed to be
+	# ordered.  Default values are from class attributes, if a field
+	# has a default.  If the default value is a Field(), then it
+	# contains additional info beyond (and possibly including) the
+	# actual default value.  Pseudo-fields ClassVars and InitVars are
+	# included, despite the fact that they're not real fields.  That's
+	# dealt with later.
+	cls_annotations = cls.__dict__.get('__annotations__', {})
 
-    # Now find fields in our class.  While doing so, validate some
-    # things, and set the default values (as class attributes) where
-    # we can.
-    cls_fields = [_get_field(cls, name, type)
-                  for name, type in cls_annotations.items()]
-    for f in cls_fields:
-        fields[f.name] = f
+	# Now find fields in our class.  While doing so, validate some
+	# things, and set the default values (as class attributes) where
+	# we can.
+	cls_fields = [_get_field(cls, name, type) for name, type in cls_annotations.items()]
+	for f in cls_fields:
+		fields[f.name] = f
 
-        # If the class attribute (which is the default value for this
-        # field) exists and is of type 'Field', replace it with the
-        # real default.  This is so that normal class introspection
-        # sees a real default value, not a Field.
-        if isinstance(getattr(cls, f.name, None), Field):
-            if f.default is MISSING:
-                # If there's no default, delete the class attribute.
-                # This happens if we specify field(repr=False), for
-                # example (that is, we specified a field object, but
-                # no default value).  Also if we're using a default
-                # factory.  The class attribute should not be set at
-                # all in the post-processed class.
-                delattr(cls, f.name)
-            else:
-                setattr(cls, f.name, f.default)
+		# If the class attribute (which is the default value for this
+		# field) exists and is of type 'Field', replace it with the
+		# real default.  This is so that normal class introspection
+		# sees a real default value, not a Field.
+		if isinstance(getattr(cls, f.name, None), Field):
+			if f.default is MISSING:
+				# If there's no default, delete the class attribute.
+				# This happens if we specify field(repr=False), for
+				# example (that is, we specified a field object, but
+				# no default value).  Also if we're using a default
+				# factory.  The class attribute should not be set at
+				# all in the post-processed class.
+				delattr(cls, f.name)
+			else:
+				setattr(cls, f.name, f.default)
 
-    # Do we have any Field members that don't also have annotations?
-    for name, value in cls.__dict__.items():
-        if isinstance(value, Field) and not name in cls_annotations:
-            raise TypeError(f'{name!r} is a field but has no type annotation')
+	# Do we have any Field members that don't also have annotations?
+	for name, value in cls.__dict__.items():
+		if isinstance(value, Field) and not name in cls_annotations:
+			raise TypeError(f'{name!r} is a field but has no type annotation')
 
-    # Check rules that apply if we are derived from any dataclasses.
-    if has_dataclass_bases:
-        # Raise an exception if any of our bases are frozen, but we're not.
-        if any_frozen_base and not frozen:
-            raise TypeError('cannot inherit non-frozen dataclass from a '
-                            'frozen one')
+	# Check rules that apply if we are derived from any dataclasses.
+	if has_dataclass_bases:
+		# Raise an exception if any of our bases are frozen, but we're not.
+		if any_frozen_base and not frozen:
+			raise TypeError('cannot inherit non-frozen dataclass from a '
+			                'frozen one')
 
-        # Raise an exception if we're frozen, but none of our bases are.
-        if not any_frozen_base and frozen:
-            raise TypeError('cannot inherit frozen dataclass from a '
-                            'non-frozen one')
+		# Raise an exception if we're frozen, but none of our bases are.
+		if not any_frozen_base and frozen:
+			raise TypeError('cannot inherit frozen dataclass from a '
+			                'non-frozen one')
 
-    # Remember all of the fields on our class (including bases).  This
-    # also marks this class as being a dataclass.
-    setattr(cls, _FIELDS, fields)
+	# Remember all of the fields on our class (including bases).  This
+	# also marks this class as being a dataclass.
+	setattr(cls, _FIELDS, fields)
 
-    # Was this class defined with an explicit __hash__?  Note that if
-    # __eq__ is defined in this class, then python will automatically
-    # set __hash__ to None.  This is a heuristic, as it's possible
-    # that such a __hash__ == None was not auto-generated, but it
-    # close enough.
-    class_hash = cls.__dict__.get('__hash__', MISSING)
-    has_explicit_hash = not (class_hash is MISSING or
-                             (class_hash is None and '__eq__' in cls.__dict__))
+	# Was this class defined with an explicit __hash__?  Note that if
+	# __eq__ is defined in this class, then python will automatically
+	# set __hash__ to None.  This is a heuristic, as it's possible
+	# that such a __hash__ == None was not auto-generated, but it
+	# close enough.
+	class_hash = cls.__dict__.get('__hash__', MISSING)
+	has_explicit_hash = not (class_hash is MISSING or (class_hash is None and '__eq__' in cls.__dict__))
 
-    # If we're generating ordering methods, we must be generating the
-    # eq methods.
-    if order and not eq:
-        raise ValueError('eq must be true if order is true')
+	# If we're generating ordering methods, we must be generating the
+	# eq methods.
+	if order and not eq:
+		raise ValueError('eq must be true if order is true')
 
-    if init:
-        # Does this class have a post-init function?
-        has_post_init = hasattr(cls, _POST_INIT_NAME)
+	if init:
+		# Does this class have a post-init function?
+		has_post_init = hasattr(cls, _POST_INIT_NAME)
 
-        # Include InitVars and regular fields (so, not ClassVars).
-        flds = [f for f in fields.values()
-                if f._field_type in (_FIELD, _FIELD_INITVAR)]
-        _set_new_attribute(cls, '__init__',
-                           _init_fn(flds,
-                                    frozen,
-                                    has_post_init,
-                                    # The name to use for the "self"
-                                    # param in __init__.  Use "self"
-                                    # if possible.
-                                    '__dataclass_self__' if 'self' in fields
-                                            else 'self',
-                          ))
+		# Include InitVars and regular fields (so, not ClassVars).
+		flds = [f for f in fields.values() if f._field_type in (_FIELD, _FIELD_INITVAR)]
+		_set_new_attribute(
+		    cls, '__init__',
+		    _init_fn(
+		        flds, frozen, has_post_init,
+		        # The name to use for the "self"
+		        # param in __init__.  Use "self"
+		        # if possible.
+		        '__dataclass_self__' if 'self' in fields else 'self',
+		    )
+		)
 
-    # Get the fields as a list, and include only real fields.  This is
-    # used in all of the following methods.
-    field_list = [f for f in fields.values() if f._field_type is _FIELD]
+	# Get the fields as a list, and include only real fields.  This is
+	# used in all of the following methods.
+	field_list = [f for f in fields.values() if f._field_type is _FIELD]
 
-    if repr:
-        flds = [f for f in field_list if f.repr]
-        _set_new_attribute(cls, '__repr__', _repr_fn(flds))
+	if repr:
+		flds = [f for f in field_list if f.repr]
+		_set_new_attribute(cls, '__repr__', _repr_fn(flds))
 
-    if eq:
-        # Create _eq__ method.  There's no need for a __ne__ method,
-        # since python will call __eq__ and negate it.
-        flds = [f for f in field_list if f.compare]
-        self_tuple = _tuple_str('self', flds)
-        other_tuple = _tuple_str('other', flds)
-        _set_new_attribute(cls, '__eq__',
-                           _cmp_fn('__eq__', '==',
-                                   self_tuple, other_tuple))
+	if eq:
+		# Create _eq__ method.  There's no need for a __ne__ method,
+		# since python will call __eq__ and negate it.
+		flds = [f for f in field_list if f.compare]
+		self_tuple = _tuple_str('self', flds)
+		other_tuple = _tuple_str('other', flds)
+		_set_new_attribute(cls, '__eq__', _cmp_fn('__eq__', '==', self_tuple, other_tuple))
 
-    if order:
-        # Create and set the ordering methods.
-        flds = [f for f in field_list if f.compare]
-        self_tuple = _tuple_str('self', flds)
-        other_tuple = _tuple_str('other', flds)
-        for name, op in [('__lt__', '<'),
-                         ('__le__', '<='),
-                         ('__gt__', '>'),
-                         ('__ge__', '>='),
-                         ]:
-            if _set_new_attribute(cls, name,
-                                  _cmp_fn(name, op, self_tuple, other_tuple)):
-                raise TypeError(f'Cannot overwrite attribute {name} '
-                                f'in class {cls.__name__}. Consider using '
-                                'functools.total_ordering')
+	if order:
+		# Create and set the ordering methods.
+		flds = [f for f in field_list if f.compare]
+		self_tuple = _tuple_str('self', flds)
+		other_tuple = _tuple_str('other', flds)
+		for name, op in [('__lt__', '<'), ('__le__', '<='), ('__gt__', '>'), ('__ge__', '>='), ]:
+			if _set_new_attribute(cls, name, _cmp_fn(name, op, self_tuple, other_tuple)):
+				raise TypeError(
+				    f'Cannot overwrite attribute {name} '
+				    f'in class {cls.__name__}. Consider using '
+				    'functools.total_ordering'
+				)
 
-    if frozen:
-        for fn in _frozen_get_del_attr(cls, field_list):
-            if _set_new_attribute(cls, fn.__name__, fn):
-                raise TypeError(f'Cannot overwrite attribute {fn.__name__} '
-                                f'in class {cls.__name__}')
+	if frozen:
+		for fn in _frozen_get_del_attr(cls, field_list):
+			if _set_new_attribute(cls, fn.__name__, fn):
+				raise TypeError(f'Cannot overwrite attribute {fn.__name__} '
+				                f'in class {cls.__name__}')
 
-    # Decide if/how we're going to create a hash function.
-    hash_action = _hash_action[bool(unsafe_hash),
-                               bool(eq),
-                               bool(frozen),
-                               has_explicit_hash]
-    if hash_action:
-        # No need to call _set_new_attribute here, since by the time
-        # we're here the overwriting is unconditional.
-        cls.__hash__ = hash_action(cls, field_list)
+	# Decide if/how we're going to create a hash function.
+	hash_action = _hash_action[bool(unsafe_hash), bool(eq), bool(frozen), has_explicit_hash]
+	if hash_action:
+		# No need to call _set_new_attribute here, since by the time
+		# we're here the overwriting is unconditional.
+		cls.__hash__ = hash_action(cls, field_list)
 
-    if not getattr(cls, '__doc__'):
-        # Create a class doc-string.
-        cls.__doc__ = (cls.__name__ +
-                       str(inspect.signature(cls)).replace(' -> None', ''))
+	if not getattr(cls, '__doc__'):
+		# Create a class doc-string.
+		cls.__doc__ = (cls.__name__ + str(inspect.signature(cls)).replace(' -> None', ''))
 
-    return cls
+	return cls
 
 
 # _cls should never be specified by keyword, so start it with an
 # underscore.  The presence of _cls is used to detect if this
 # decorator is being called with parameters or not.
-def dataclass(_cls=None, *, init=True, repr=True, eq=True, order=False,
-              unsafe_hash=False, frozen=False):
-    """Returns the same class as was passed in, with dunder methods
+def dataclass(_cls=None, *, init=True, repr=True, eq=True, order=False, unsafe_hash=False, frozen=False):
+	"""Returns the same class as was passed in, with dunder methods
     added based on the fields defined in the class.
 
     Examines PEP 526 __annotations__ to determine fields.
@@ -945,50 +912,49 @@ def dataclass(_cls=None, *, init=True, repr=True, eq=True, order=False,
     __hash__() method function is added. If frozen is true, fields may
     not be assigned to after instance creation.
     """
+	def wrap(cls):
+		return _process_class(cls, init, repr, eq, order, unsafe_hash, frozen)
 
-    def wrap(cls):
-        return _process_class(cls, init, repr, eq, order, unsafe_hash, frozen)
-
-    # See if we're being called as @dataclass or @dataclass().
-    if _cls is None:
-        # We're called with parens.
-        return wrap
+	# See if we're being called as @dataclass or @dataclass().
+	if _cls is None:
+		# We're called with parens.
+		return wrap
 
-    # We're called as @dataclass without parens.
-    return wrap(_cls)
+	# We're called as @dataclass without parens.
+	return wrap(_cls)
 
 
 def fields(class_or_instance):
-    """Return a tuple describing the fields of this dataclass.
+	"""Return a tuple describing the fields of this dataclass.
 
     Accepts a dataclass or an instance of one. Tuple elements are of
     type Field.
     """
 
-    # Might it be worth caching this, per class?
-    try:
-        fields = getattr(class_or_instance, _FIELDS)
-    except AttributeError:
-        raise TypeError('must be called with a dataclass type or instance')
+	# Might it be worth caching this, per class?
+	try:
+		fields = getattr(class_or_instance, _FIELDS)
+	except AttributeError:
+		raise TypeError('must be called with a dataclass type or instance')
 
-    # Exclude pseudo-fields.  Note that fields is sorted by insertion
-    # order, so the order of the tuple is as the fields were defined.
-    return tuple(f for f in fields.values() if f._field_type is _FIELD)
+	# Exclude pseudo-fields.  Note that fields is sorted by insertion
+	# order, so the order of the tuple is as the fields were defined.
+	return tuple(f for f in fields.values() if f._field_type is _FIELD)
 
 
 def _is_dataclass_instance(obj):
-    """Returns True if obj is an instance of a dataclass."""
-    return not isinstance(obj, type) and hasattr(obj, _FIELDS)
+	"""Returns True if obj is an instance of a dataclass."""
+	return not isinstance(obj, type) and hasattr(obj, _FIELDS)
 
 
 def is_dataclass(obj):
-    """Returns True if obj is a dataclass or an instance of a
+	"""Returns True if obj is a dataclass or an instance of a
     dataclass."""
-    return hasattr(obj, _FIELDS)
+	return hasattr(obj, _FIELDS)
 
 
 def asdict(obj, *, dict_factory=dict):
-    """Return the fields of a dataclass instance as a new dictionary mapping
+	"""Return the fields of a dataclass instance as a new dictionary mapping
     field names to field values.
 
     Example usage:
@@ -1006,29 +972,28 @@ def asdict(obj, *, dict_factory=dict):
     dataclass instances. This will also look into built-in containers:
     tuples, lists, and dicts.
     """
-    if not _is_dataclass_instance(obj):
-        raise TypeError("asdict() should be called on dataclass instances")
-    return _asdict_inner(obj, dict_factory)
+	if not _is_dataclass_instance(obj):
+		raise TypeError("asdict() should be called on dataclass instances")
+	return _asdict_inner(obj, dict_factory)
 
 
 def _asdict_inner(obj, dict_factory):
-    if _is_dataclass_instance(obj):
-        result = []
-        for f in fields(obj):
-            value = _asdict_inner(getattr(obj, f.name), dict_factory)
-            result.append((f.name, value))
-        return dict_factory(result)
-    elif isinstance(obj, (list, tuple)):
-        return type(obj)(_asdict_inner(v, dict_factory) for v in obj)
-    elif isinstance(obj, dict):
-        return type(obj)((_asdict_inner(k, dict_factory), _asdict_inner(v, dict_factory))
-                          for k, v in obj.items())
-    else:
-        return copy.deepcopy(obj)
+	if _is_dataclass_instance(obj):
+		result = []
+		for f in fields(obj):
+			value = _asdict_inner(getattr(obj, f.name), dict_factory)
+			result.append((f.name, value))
+		return dict_factory(result)
+	elif isinstance(obj, (list, tuple)):
+		return type(obj)(_asdict_inner(v, dict_factory) for v in obj)
+	elif isinstance(obj, dict):
+		return type(obj)((_asdict_inner(k, dict_factory), _asdict_inner(v, dict_factory)) for k, v in obj.items())
+	else:
+		return copy.deepcopy(obj)
 
 
 def astuple(obj, *, tuple_factory=tuple):
-    """Return the fields of a dataclass instance as a new tuple of field values.
+	"""Return the fields of a dataclass instance as a new tuple of field values.
 
     Example usage::
 
@@ -1046,31 +1011,31 @@ def astuple(obj, *, tuple_factory=tuple):
     tuples, lists, and dicts.
     """
 
-    if not _is_dataclass_instance(obj):
-        raise TypeError("astuple() should be called on dataclass instances")
-    return _astuple_inner(obj, tuple_factory)
+	if not _is_dataclass_instance(obj):
+		raise TypeError("astuple() should be called on dataclass instances")
+	return _astuple_inner(obj, tuple_factory)
 
 
 def _astuple_inner(obj, tuple_factory):
-    if _is_dataclass_instance(obj):
-        result = []
-        for f in fields(obj):
-            value = _astuple_inner(getattr(obj, f.name), tuple_factory)
-            result.append(value)
-        return tuple_factory(result)
-    elif isinstance(obj, (list, tuple)):
-        return type(obj)(_astuple_inner(v, tuple_factory) for v in obj)
-    elif isinstance(obj, dict):
-        return type(obj)((_astuple_inner(k, tuple_factory), _astuple_inner(v, tuple_factory))
-                          for k, v in obj.items())
-    else:
-        return copy.deepcopy(obj)
+	if _is_dataclass_instance(obj):
+		result = []
+		for f in fields(obj):
+			value = _astuple_inner(getattr(obj, f.name), tuple_factory)
+			result.append(value)
+		return tuple_factory(result)
+	elif isinstance(obj, (list, tuple)):
+		return type(obj)(_astuple_inner(v, tuple_factory) for v in obj)
+	elif isinstance(obj, dict):
+		return type(obj)((_astuple_inner(k, tuple_factory), _astuple_inner(v, tuple_factory)) for k, v in obj.items())
+	else:
+		return copy.deepcopy(obj)
 
 
-def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
-                   repr=True, eq=True, order=False, unsafe_hash=False,
-                   frozen=False):
-    """Return a new dynamically created dataclass.
+def make_dataclass(
+    cls_name, fields, *, bases=(), namespace=None, init=True, repr=True, eq=True, order=False, unsafe_hash=False,
+    frozen=False
+):
+	"""Return a new dynamically created dataclass.
 
     The dataclass name will be 'cls_name'.  'fields' is an iterable
     of either (name), (name, type) or (name, type, Field) objects. If type is
@@ -1093,48 +1058,47 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,
     dataclass().
     """
 
-    if namespace is None:
-        namespace = {}
-    else:
-        # Copy namespace since we're going to mutate it.
-        namespace = namespace.copy()
+	if namespace is None:
+		namespace = {}
+	else:
+		# Copy namespace since we're going to mutate it.
+		namespace = namespace.copy()
 
-    # While we're looking through the field names, validate that they
-    # are identifiers, are not keywords, and not duplicates.
-    seen = set()
-    anns = {}
-    for item in fields:
-        if isinstance(item, str):
-            name = item
-            tp = 'typing.Any'
-        elif len(item) == 2:
-            name, tp, = item
-        elif len(item) == 3:
-            name, tp, spec = item
-            namespace[name] = spec
-        else:
-            raise TypeError(f'Invalid field: {item!r}')
+	# While we're looking through the field names, validate that they
+	# are identifiers, are not keywords, and not duplicates.
+	seen = set()
+	anns = {}
+	for item in fields:
+		if isinstance(item, str):
+			name = item
+			tp = 'typing.Any'
+		elif len(item) == 2:
+			name, tp, = item
+		elif len(item) == 3:
+			name, tp, spec = item
+			namespace[name] = spec
+		else:
+			raise TypeError(f'Invalid field: {item!r}')
 
-        if not isinstance(name, str) or not name.isidentifier():
-            raise TypeError(f'Field names must be valid identifers: {name!r}')
-        if keyword.iskeyword(name):
-            raise TypeError(f'Field names must not be keywords: {name!r}')
-        if name in seen:
-            raise TypeError(f'Field name duplicated: {name!r}')
+		if not isinstance(name, str) or not name.isidentifier():
+			raise TypeError(f'Field names must be valid identifers: {name!r}')
+		if keyword.iskeyword(name):
+			raise TypeError(f'Field names must not be keywords: {name!r}')
+		if name in seen:
+			raise TypeError(f'Field name duplicated: {name!r}')
 
-        seen.add(name)
-        anns[name] = tp
+		seen.add(name)
+		anns[name] = tp
 
-    namespace['__annotations__'] = anns
-    # We use `types.new_class()` instead of simply `type()` to allow dynamic creation
-    # of generic dataclassses.
-    cls = types.new_class(cls_name, bases, {}, lambda ns: ns.update(namespace))
-    return dataclass(cls, init=init, repr=repr, eq=eq, order=order,
-                     unsafe_hash=unsafe_hash, frozen=frozen)
+	namespace['__annotations__'] = anns
+	# We use `types.new_class()` instead of simply `type()` to allow dynamic creation
+	# of generic dataclassses.
+	cls = types.new_class(cls_name, bases, {}, lambda ns: ns.update(namespace))
+	return dataclass(cls, init=init, repr=repr, eq=eq, order=order, unsafe_hash=unsafe_hash, frozen=frozen)
 
 
 def replace(obj, **changes):
-    """Return a new object replacing specified fields with new values.
+	"""Return a new object replacing specified fields with new values.
 
     This is especially useful for frozen classes.  Example usage:
 
@@ -1148,37 +1112,39 @@ def replace(obj, **changes):
       assert c1.x == 3 and c1.y == 2
       """
 
-    # We're going to mutate 'changes', but that's okay because it's a
-    # new dict, even if called with 'replace(obj, **my_changes)'.
+	# We're going to mutate 'changes', but that's okay because it's a
+	# new dict, even if called with 'replace(obj, **my_changes)'.
 
-    if not _is_dataclass_instance(obj):
-        raise TypeError("replace() should be called on dataclass instances")
+	if not _is_dataclass_instance(obj):
+		raise TypeError("replace() should be called on dataclass instances")
 
-    # It's an error to have init=False fields in 'changes'.
-    # If a field is not in 'changes', read its value from the provided obj.
+	# It's an error to have init=False fields in 'changes'.
+	# If a field is not in 'changes', read its value from the provided obj.
 
-    for f in getattr(obj, _FIELDS).values():
-        # Only consider normal fields or InitVars.
-        if f._field_type is _FIELD_CLASSVAR:
-            continue
+	for f in getattr(obj, _FIELDS).values():
+		# Only consider normal fields or InitVars.
+		if f._field_type is _FIELD_CLASSVAR:
+			continue
 
-        if not f.init:
-            # Error if this field is specified in changes.
-            if f.name in changes:
-                raise ValueError(f'field {f.name} is declared with '
-                                 'init=False, it cannot be specified with '
-                                 'replace()')
-            continue
+		if not f.init:
+			# Error if this field is specified in changes.
+			if f.name in changes:
+				raise ValueError(
+				    f'field {f.name} is declared with '
+				    'init=False, it cannot be specified with '
+				    'replace()'
+				)
+			continue
 
-        if f.name not in changes:
-            if f._field_type is _FIELD_INITVAR:
-                raise ValueError(f"InitVar {f.name!r} "
-                                 'must be specified with replace()')
-            changes[f.name] = getattr(obj, f.name)
+		if f.name not in changes:
+			if f._field_type is _FIELD_INITVAR:
+				raise ValueError(f"InitVar {f.name!r} "
+				                 'must be specified with replace()')
+			changes[f.name] = getattr(obj, f.name)
 
-    # Create the new object, which calls __init__() and
-    # __post_init__() (if defined), using all of the init fields we've
-    # added and/or left in 'changes'.  If there are values supplied in
-    # changes that aren't fields, this will correctly raise a
-    # TypeError.
-    return obj.__class__(**changes)
+	# Create the new object, which calls __init__() and
+	# __post_init__() (if defined), using all of the init fields we've
+	# added and/or left in 'changes'.  If there are values supplied in
+	# changes that aren't fields, this will correctly raise a
+	# TypeError.
+	return obj.__class__(**changes)